., RMA 2016, 'A SYSTEMATIC REVIEW ON WHAT FEATURES SHOULD BE SUPPORTED BY FITNESS APPS AND WEARABLES TO HELP USERS OVERCOME OBESITY', International Journal of Research in Engineering and Technology, vol. 05, no. 09, pp. 197-206.
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Obesity is a major global challenge. It increases the risk of developing health problems such as cancer, diabetes and cardiovascular disease. Its prevalence puts pressure on the healthcare systems and on individuals’ health and finances as well. The use of fitness technology, mobile apps and wearable devices in supporting health behaviour change is promising. Fitness technology not only expands opportunities for users to access health related information but also facilitate cueing behaviour
change and collection of ongoing personal data. The objective of this paper is to identify the features that should be supported by health and fitness apps and fitness wearable devices to encourage obese individuals to be active, change their lifestyle and to keep them motivated to overcome obesity. Firstly, it investigates the effectiveness and the efficiency of prevalent fitness apps and fitness wearable devices design features used to encourage physical activity. It then provides a method to evaluate both fitness apps and fitness wearable devices as motivational tools. The results regarding mobile apps highlight that goal setting, monitoring/tracking and feedback are the best features for motivation and that Zombie Run is the best fitness app for the Australian market in 2015. The results in regards to wearable devices emphasise reminders, tracking / monitoring/ feedback and goals / rewards are the best features for motivation and that Garmin Vivofitis the best fitness wearable devices for the American market in 2015. These results are useful for the users; fitness apps’ and fitness wearable devices’ developers because they provide some understanding of the various features needed to motivate individuals.
Abbas, A & Khalilpour, R 2016, 'Special issue on “Flexible operation of carbon capture plants”', International Journal of Greenhouse Gas Control, vol. 48, pp. 187-187.
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Abbott, AA, Giarmatzi, C, Costa, F & Branciard, C 2016, 'Multipartite Causal Correlations: Polytopes and Inequalities', Phys. Rev. A, vol. 94, p. 032131.
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We consider the most general correlations that can be obtained by a group ofparties whose causal relations are well-defined, although possiblyprobabilistic and dependent on past parties' operations. We show that, for anyfixed number of parties and inputs and outputs for each party, the set of suchcorrelations forms a convex polytope, whose vertices correspond todeterministic strategies, and whose (nontrivial) facets define so-called causalinequalities. We completely characterize the simplest tripartite polytope interms of its facet inequalities, propose generalizations of some inequalitiesto scenarios with more parties, and show that our tripartite inequalities canbe violated within the process matrix formalism, where quantum mechanics islocally valid but no global causal structure is assumed.
Abdolali, A, Ngo, HH, Guo, W, Lu, S, Chen, S-S, Nguyen, NC, Zhang, X, Wang, J & Wu, Y 2016, 'A breakthrough biosorbent in removing heavy metals: Equilibrium, kinetic, thermodynamic and mechanism analyses in a lab-scale study', SCIENCE OF THE TOTAL ENVIRONMENT, vol. 542, pp. 603-611.
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Abdul, JM, Vigneswaran, S, Kandasamy, J & Mahinthakumar, G 2016, 'Fenton Oxidation of Metsulfuron-Methyl with Application to Permeable Reactive Barriers', Environmental Modeling & Assessment, vol. 21, no. 1, pp. 149-158.
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© 2015, Springer International Publishing Switzerland. Laboratory experiments were conducted for removal of metsulfuron-methyl (MeS) by Fenton oxidation using a sand column with multiple sampling points and varied flow rates. The transport and degradation of MeS in a sand column were modeled using an advection diffusion reaction system with rate-limited sorption, hydrolysis and second-order degradation kinetics. Rate constants for MeS adsorption and degradation were obtained by fitting the model to experimental breakthrough curves. Results showed that the residence time is the primary influencing factor in the amount of MeS removal by Fenton oxidation with removal efficiencies exceeding 85 %. The column model was extended to two-dimensional porous media, and simulations were conducted to evaluate the feasibility of in situ chemical oxidation using Fenton’s reagent in permeable reactor barriers. Results show that Fenton oxidation can yield remediation efficiencies exceeding 80 % in permeable reactor barriers when compared to less than 10 % with adsorption only.
Abdullahi, S & Pradhan, B 2016, 'Sustainable Brownfields Land Use Change Modeling Using GIS-based Weights-of-Evidence Approach', Applied Spatial Analysis and Policy, vol. 9, no. 1, pp. 21-38.
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Abdulwahid, H, Dai, B, Huang, B & Chen, Z 2016, 'Scheduled-links multicast routing protocol in MANETs', Journal of Network and Computer Applications, vol. 63, pp. 56-67.
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Abedin, MJ, Imran, A, Masjuki, HH, Kalam, MA, Shahir, SA, Varman, M & Ruhul, AM 2016, 'An overview on comparative engine performance and emission characteristics of different techniques involved in diesel engine as dual-fuel engine operation', Renewable and Sustainable Energy Reviews, vol. 60, pp. 306-316.
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Abatement of pollutant emissions from transport sector is one of the major concerns throughout the globe. One of the main technical challenges for transportation sector is to reduce pollutant emissions from diesel engine and to meet satisfactory engine performance, simultaneously. Different technical changes have been introduced in diesel engine to apply alternative biofuels to reduce pollutant emissions. Blend, fumigation, and emulsion are three different dual fuel engine operation techniques, which have been introduced in diesel engine for biofuel application. In the blend mode, biofuel and diesel are mixed in desired proportions before injecting into cylinder, whereas in fumigation mode, biofuel is injected into intake manifold to mix with the intake fresh air. Emulsion is a process wherein two immiscible substances are mixed together. This study provides a comprehensive review on these three techniques of biofuel injection and their comparative effects on the engine performance and emissions. From these studies, it is found that the effects on engine performance and emission mostly depend on biofuel properties. Increase in break specific fuel consumption (BSFC) is common in each method due to the lower calorific value of biofuels. Brake thermal efficiency (BTE) decreases in blend and fumigation modes, but increases in emulsion mode. Nitrogen oxides (NOx) emissions decrease in fumigation and emulsion modes, but increase in blend mode. Carbon monoxide (CO) and Hydro carbon (HC) emissions increase in fumigation and emulsion modes, but decrease in blend mode. Particulate Matter (PM) emission decreases in all three modes.
Abedin, MJ, Kalam, MA, Masjuki, HH, Sabri, MFM, Rahman, SMA, Sanjid, A & Fattah, IMR 2016, 'Production of biodiesel from a non-edible source and study of its combustion, and emission characteristics: A comparative study with B5', Renewable Energy, vol. 88, pp. 20-29.
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This investigation deals with the production of Alexandrian laurel (Calophyllum inophyllum) biodiesel (ALB) and study of the effects of its fatty acid methyl ester (FAME) compositions and physicochemical properties on the engine performance, combustion, and emissions. The experiment had been conducted in a four cylinder turbocharged diesel engine under varying speeds and full loading condition. 10% (ALB10) and 20% (ALB20) blends of Alexandrian laurel biodiesel along with the Diesel and B5 fuel (95% diesel and 5% palm biodiesel) were used for this experiment. ALB consisted of 31.6% saturated and 68.4% unsaturated FAME. Longer chain fatty acids and 10.9% oxygen content of ALB greatly influenced the engine combustion and emission characteristics. Brake specific fuel consumption (bsfc) was found on average 6%-20% higher for B5, ALB10, and ALB20 blends compared to diesel fuel. It was observed that ALB operation shortened the ignition delay period, increased the mass fraction burnt (MFB), and reduced the pick cylinder pressure, heat release rate (HRR) and combustion duration. CO and HC emissions were decreased significantly while operating on B5, ALB10, and ALB20 blends compared to diesel fuel. ALB blends produced on average, 2.5%-3% higher NOX emissions with respect to diesel fuel.
Abolhasan, M, Maali, Y, Rafiei, A & Ni, W 2016, 'Distributed Hybrid Coverage Hole Recovery in Wireless Sensor Networks', IEEE SENSORS JOURNAL, vol. 16, no. 23, pp. 8640-8648.
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© 2001-2012 IEEE. Coverage holes (CHs) can compromise the reliability and functionality of wireless sensor networks. The recovery of CHs is challenging, especially in distributed applications where sensors have little knowledge about other sensors' actions. We propose a new game theoretic approach for recovering the CHs in a distributed manner. The key idea is that we formulate a potential game between the sensors, where each mobile sensor in the network only depends on local knowledge of its neighboring nodes and takes CH recovery actions recursively with global convergence. An appropriate combined action of physical relocation and sensing range adjustment can be taken by each sensor to reduce the CHs in an energy-efficient way. Simulation results show that the proposed game theoretic approach is able to substantially increase network lifetime and maintain network coverage in the presence of random damage events, as compared with the prior counterpart(s).
Aditiya, HB, Chong, WT, Mahlia, TMI, Sebayang, AH, Berawi, MA & Nur, H 2016, 'Second generation bioethanol potential from selected Malaysia’s biodiversity biomasses: A review', Waste Management, vol. 47, no. Pt A, pp. 46-61.
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Rising global temperature, worsening air quality and drastic declining of fossil fuel reserve are the inevitable phenomena from the disorganized energy management. Bioethanol is believed to clear out the effects as being an energy-derivable product sourced from renewable organic sources. Second generation bioethanol interests many researches from its unique source of inedible biomass, and this paper presents the potential of several selected biomasses from Malaysia case. As one of countries with rich biodiversity, Malaysia holds enormous potential in second generation bioethanol production from its various agricultural and forestry biomasses, which are the source of lignocellulosic and starch compounds. This paper reviews potentials of biomasses and potential ethanol yield from oil palm, paddy (rice), pineapple, banana and durian, as the common agricultural waste in the country but uncommon to be served as bioethanol feedstock, by calculating the theoretical conversion of cellulose, hemicellulose and starch components of the biomasses into bioethanol. Moreover, the potential of the biomasses as feedstock are discussed based on several reported works.
Aditiya, HB, Mahlia, TMI, Chong, WT, Nur, H & Sebayang, AH 2016, 'Second generation bioethanol production: A critical review', Renewable and Sustainable Energy Reviews, vol. 66, pp. 631-653.
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It is a popular fact that the world's dependency on fossil fuel has caused unfavourable effects, including lessening crude oil reserve, decreasing air quality, rising global temperature, unpredictable weather change, and so on. As the effort to promote sustainability and independency from fossil fuel, bioethanol is now favoured as the blend or fossil petrol substitute. However, the feedstock functionality of first generation bioethanol production is restricted due to its edibleness since it would clash the feeding purpose. Second generation bioethanol production fulfils the impractical gap of first generation since it employs non-edible feedstock sourced from agriculture and forestry wastes. Lignocellulosic and starchy materials in them are convertible to fermentable sugars that are able to be further processed, resulting anhydrous bioethanol as the end product. This paper critically reviews the existing variance of second generation bioethanol production methodologies, namely pre-treatment, hydrolysis, fermentation and distillation, as well as the worth of second generation production for future reference. The discussions in this paper are also fit as the fundamental for feasible planning of second generation bioethanol production plant.
Afzal, MU & Esselle, KP 2016, 'A Low-Profile Printed Planar Phase Correcting Surface to Improve Directive Radiation Characteristics of Electromagnetic Band Gap Resonator Antennas', IEEE Transactions on Antennas and Propagation, vol. 64, no. 1, pp. 276-280.
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This communication presents a method to enhance the radiation performance of conventional electromagnetic band gap resonator antennas (ERAs) by improving their aperture phase distributions. A lowprofile printed planar phase correcting surface (PCS) was designed and fabricated to demonstrate performance enhancement. Measurements of a prototype demonstrated that the PCS significantly enhances the directive radiation properties of ERAs. This includes an 8 dB increase in peak directivity, 60% reduction in 3 dB beamwidth (from 35° to 14°), and a considerable reduction in side lobe levels.
Aghdam, IN, Varzandeh, MHM & Pradhan, B 2016, 'Landslide susceptibility mapping using an ensemble statistical index (Wi) and adaptive neuro-fuzzy inference system (ANFIS) model at Alborz Mountains (Iran)', Environmental Earth Sciences, vol. 75, no. 7, p. 553.
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Ahadi, A, Brennan, S, Kennedy, PJ, Hutvagner, G & Tran, N 2016, 'Long non-coding RNAs harboring miRNA seed regions are enriched in prostate cancer exosomes', Scientific Reports, vol. 6, no. 1, pp. 1-14.
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AbstractLong non-coding RNAs (lncRNAs) form the largest transcript class in the human transcriptome. These lncRNA are expressed not only in the cells, but they are also present in the cell-derived extracellular vesicles such as exosomes. The function of these lncRNAs in cancer biology is not entirely clear, but they appear to be modulators of gene expression. In this study, we characterize the expression of lncRNAs in several prostate cancer exosomes and their parental cell lines. We show that certain lncRNAs are enriched in cancer exosomes with the overall expression signatures varying across cell lines. These exosomal lncRNAs are themselves enriched for miRNA seeds with a preference for let-7 family members as well as miR-17, miR-18a, miR-20a, miR-93 and miR-106b. The enrichment of miRNA seed regions in exosomal lncRNAs is matched with a concomitant high expression of the same miRNA. In addition, the exosomal lncRNAs also showed an over representation of RNA binding protein binding motifs. The two most common motifs belonged to ELAVL1 and RBMX. Given the enrichment of miRNA and RBP sites on exosomal lncRNAs, their interplay may suggest a possible function in prostate cancer carcinogenesis.
Ahamed, R, Ferdaus, MM & Li, Y 2016, 'Advancement in energy harvesting magneto-rheological fluid damper: A review', Korea-Australia Rheology Journal, vol. 28, no. 4, pp. 355-379.
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In this paper, a comprehensive review of the present literature on energy generated magnetorheological (MR) fluid based damper, modeling and applications of the MR damper are presented. The review starts with an introduction of the basic of MR fluid and their different modes, consequences with different types of MR fluids based devices, and their relevant applications. Besides, various forms of MR damper and its applications are presented. Following this, the modeling of the MR fluids and the modeling of the MR fluid based damper are deliberated according to arrangement and configurations. Finally, the review ends with the design and advancement issues, performance analysis matters, and analytical modeling of energy generated magnetorheological fluid damper systems.
Ahmed, A, Masjuki, HH, Varman, M, Kalam, MA, Habibullah, M & Al Mahmud, KAH 2016, 'An overview of geometrical parameters of surface texturing for piston/cylinder assembly and mechanical seals', Meccanica, vol. 51, no. 1, pp. 9-23.
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Ahmed, MB, Hasan, ATMK, Mohiuddin, M, Asadullah, M, Rahman, MS & Khaleque, A 2016, 'Effects of heating rate and heating up time to central biomass particles for bio-oil production', Bangladesh Journal of Scientific and Industrial Research, vol. 51, no. 1, pp. 13-22.
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Objective of this work was to pyrolysis woody biomass. Experiments were carried out at 300 to 500oC. Relatively bigger particles were used. Special emphasis was given to investigate the effects of heating rate and heating up time of the central mass of the particles on the product distribution. Surface temperature reached to the reactor set temperature immediately while the temperature at the central part was as low as 50oC. The center temperature gradually increased to the final temperature within 3 to 8 minutes, depending on the wood types and the reactor set temperature. For ipil-ipil wood the heating rate of the central mass was much faster than krishnachura and koroi woods, and thus the heating up time was lower. Ipil-ipil wood was experienced higher yield (65%) even at lower reactor temperature 300oC with particle temperature 450oC. In the case of krishnachura and koroi woods, the bio-oil yields were lower under the same condition due to the heating rates of the central parts were much slower. Further researchon different biomasses may be necessary to demonstrate overall process.Bangladesh J. Sci. Ind. Res. 51(1), 13-22, 2016
Ahmed, MB, Zhou, JL, Ngo, HH & Guo, W 2016, 'Insight into biochar properties and its cost analysis', Biomass and Bioenergy, vol. 84, pp. 76-86.
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© 2015 Elsevier Ltd. Biochars (BCs) are widely produced and used for the remediation of environmental contaminants as bio-sorbents. In this review, statistical analysis of different BC physico-chemical properties was conducted. It was observed that woody materials are the most suitable for preparing BCs, among many other potential raw materials such as food wastes and agricultural materials. Currently BCs are produced through a variety of thermal treatment processes between 300 and 900 °C, among which slow pyrolysis is widely used due to its moderate operating conditions and optimization of BC yields. Hydrothermal carbonisation (HTC) is also an effective approach for BC production under certain conditions. As pyrolysis temperature is increased, the carbon content, ash content, surface area, and pore volume tend to be increased while the yield, hydrogen, oxygen, nitrogen content, and H/C and O/C molar ratios tend to decrease. The economic feasibility of BCs depends on a range of factors from raw material price to efficient production technologies. Thus, the overall cost equation of a pilot BC production plant together with the cost equation for BC regeneration has been proposed. The future research directions of BCs are also elaborated.
Ahmed, MB, Zhou, JL, Ngo, HH, Guo, W & Chen, M 2016, 'Progress in the preparation and application of modified biochar for improved contaminant removal from water and wastewater', BIORESOURCE TECHNOLOGY, vol. 214, pp. 836-851.
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© 2016 Elsevier Ltd Modified biochar (BC) is reviewed in its preparation, functionality, applications and regeneration. The nature of precursor materials, preparatory conditions and modification methods are key factors influencing BC properties. Steam activation is unsuitable for improving BC surface functionality compared with chemical modifications. Alkali-treated BC possesses the highest surface functionality. Both alkali modified BC and nanomaterial impregnated BC composites are highly favorable for enhancing the adsorption of different contaminants from wastewater. Acidic treatment provides more oxygenated functional groups on BC surfaces. The Langmuir isotherm model provides the best fit for sorption equilibria of heavy metals and anionic contaminants, while the Freundlich isotherm model is the best fit for emerging contaminants. The pseudo 2nd order is the most appropriate model of sorption kinetics for all contaminants. Future research should focus on industry-scale applications and hybrid systems for contaminant removal due to scarcity of data.
Ai, H, Xu, J, Huang, W, He, Q, Ni, B & Wang, Y 2016, 'Mechanism and kinetics of biofilm growth process influenced by shear stress in sewers', Water Science and Technology, vol. 73, no. 7, pp. 1572-1582.
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Sewer biofilms play an important role in the biotransformation of substances for methane and sulfide emission in sewer networks. The dynamic flows and the particular shear stress in sewers are the key factors determining the growth of the sewer biofilm. In this work, the development of sewer biofilm with varying shear stress is specifically investigated to gain a comprehensive understanding of the sewer biofilm dynamics. Sewer biofilms were cultivated in laboratory-scale gravity sewers under different hydraulic conditions with the corresponding shell stresses are 1.12 Pa, 1.29 Pa and 1.45 Pa, respectively. The evolution of the biofilm thickness were monitored using microelectrodes, and the variation in total solids (TS) and extracellular polymer substance (EPS) levels in the biofilm were also measured. The results showed that the steady-state biofilm thickness were highly related to the corresponding shear stresses with the biofilm thickness of 2.4 ± 0.1 mm, 2.7 ± 0.1 mm and 2.2 ± 0.1 mm at shear stresses of 1.12 Pa, 1.29 Pa and 1.45 Pa, respectively, which the chemical oxygen demand concentration is 400 mg/L approximately. Based on these observations, a kinetic model for describing the development of sewer biofilms was developed and demonstrated to be capable of reproducing all the experimental data.
Al-Abadi, AM, Pradhan, B & Shahid, S 2016, 'Prediction of groundwater flowing well zone at An-Najif Province, central Iraq using evidential belief functions model and GIS', Environmental Monitoring and Assessment, vol. 188, no. 10, p. 549.
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Alam, M, Sanjayan, J, Zou, PXW, Stewart, MG & Wilson, J 2016, 'Modelling the correlation between building energy ratings and heat-related mortality and morbidity', Sustainable Cities and Society, vol. 22, pp. 29-39.
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Climate change has led to an increase in the frequency and intensity of heatwaves as well as the risk of heat stress within buildings. To provide habitable indoor conditions without air-conditioning during heatwave, residential building energy efficiency need to be upgraded. The aim of this research is to investigate the possible correlation of building energy rating upgrading with heat-related health hazard during heatwave, with case data drawing from Melbourne, Australia. Using building simulations, indoor heat stress conditions of different energy rated houses were calculated using wet bulb globe temperature and discomfort index under the Melbourne 2009 heatwave conditions. The results showed that during three days heatwave period, residents of 0.9 star energy rated house were exposed to extreme heat stress conditions for almost 25 h compared to only 6 h experienced by the occupants of 5.4 star energy rated house. Several robust empirical relationships were proposed to predict deaths, ambulance calls, emergency department presentations and after hour doctor calls during heatwave. It was concluded that mortality rate from a Melbourne 2009 type, as well as, future more intense heatwave may reduce by 90% if entire existing lower energy star rated houses can be upgraded to minimum 5.4 star energy rating.
Alarkawi, D, Bliuc, D, Nguyen, TV, Eisman, JA & Center, JR 2016, 'Contribution of Lumbar Spine BMD to Fracture Risk in Individuals With T-Score Discordance', Journal of Bone and Mineral Research, vol. 31, no. 2, pp. 274-280.
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ABSTRACT Fracture risk estimates are usually based on femoral neck (FN) BMD. It is unclear how to address T-score discordance, where lumbar spine (LS) T-score is lower than FN T-score. The objective of this work was to examine the impact of LS BMD on fracture risk, in individuals with lower LS T-score than FN T-score. Participants aged 60+ years from the Dubbo Osteoporosis Epidemiology Study with LS and FN BMD measured at first visit, and were followed from 1989 to 2014. Five-hundred and seventy-three (573) of 2270 women and 131 of 1373 men had lower LS than FN T-score by ≥0.6 standard deviation (SD) (low-LS group based on least significant change). In low-LS women, each 1 SD lower LS T-score than FN was associated with a 30% increase in fracture risk (hazard ratio [HR] 1.30; 95% CI, 1.11 to 1.45). For low-LS men there was a 20% nonsignificant increase in fracture risk for each 1 SD lower LS than FN T-score (HR 1.20; 95% CI, 0.10 to 1.67). Low-LS women had greater absolute fracture risks than the rest of the women. This increased risk was more apparent for lower levels of FN T-score and in older age groups. At an FN T-score of –2, low-LS women had a 3%, 10%, and 23% higher 5-year absolute fracture risk than non-low LS women in the 60 to 69 year, 70 to 79 year, and 80+ years age-groups, respectively. Furthermore, an osteoporotic LS T-score increased 5-year absolute fracture risk for women with normal or osteopenic FN T-score by 10% to 13%. Men in the low-LS group had very few fractures; therefore, a meaningful analyses of fracture risk could not be conducted. This study shows the significant contribution of lower LS BMD to fracture risk over and above FN BMD in women. A LS BMD lower than FN BMD should be incorporated into fracture risk calculators at least for women in older age-groups. © 2015 American Society for Bone and Mineral Res...
Alavi, AH, Gandomi, AH & Lary, DJ 2016, 'Progress of machine learning in geosciences: Preface', Geoscience Frontiers, vol. 7, no. 1, pp. 1-2.
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Alazigha, DP, Indraratna, B, Vinod, JS & Ezeajugh, LE 2016, 'The swelling behaviour of lignosulfonate-treated expansive soil', Proceedings of the Institution of Civil Engineers - Ground Improvement, vol. 169, no. 3, pp. 182-193.
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This paper presents results regarding the potential of lignosulfonate (LS) to control the swelling of expansive soil. One-dimensional swell tests were performed on untreated and LS-treated remoulded samples of Australian expansive soil from the state of Queensland. The test results indicated that LS has significant influence on the swelling behaviour of this expansive soil. The results were compared with those of identical cement-treated soil samples, and it was found that LS could be a economical and environmentally friendly alternative to traditional alkaline additives. In addition, the behaviour of LS-treated specimens during repeated freezing and thawing cycles was measured. The results indicated significant improvement in the percentage mass loss in LS-treated specimens compared with cement-treated specimens. The microstructural analysis of the untreated and the LS-treated samples showed soil surface area reduction in the treated specimens, which in turn reduced the affinity of the specimens towards moisture uptake, resulting in a reduction in the swell potential of the otherwise expansive soil. The use of LS as a novel non-traditional stabiliser for expansive soil appears to be a viable solution in view of the sustainable use of waste by-products and green construction.
Alengaram, UJ, Mohottige, NHW, Wu, C, Jumaat, MZ, Poh, YS & Wang, Z 2016, 'Response of oil palm shell concrete slabs subjected to quasi-static and blast loads', Construction and Building Materials, vol. 116, pp. 391-402.
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Ali, A & Lee, JE-Y 2016, 'Electrical characterization of piezoelectric-on-silicon contour mode resonators fully immersed in liquid', Sensors and Actuators A: Physical, vol. 241, pp. 216-223.
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Al-Jubouri, B & Gabrys, B 2016, 'Local Learning for Multi-layer, Multi-component Predictive System', Procedia Computer Science, vol. 96, pp. 723-732.
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This study introduces a new multi-layer multi-component ensemble. The components of this ensemble are trained locally on subsets of features for disjoint sets of data. The data instances are assigned to local regions using the similarity of their features pairwise squared correlation. Many ensemble methods encourage diversity among their base predictors by training them on different subsets of data or different subsets of features. In the proposed architecture the local regions contain disjoint sets of data and for this data only the most similar features are selected. The pairwise squared correlations of the features are used to weight the predictions of the ensemble's models. The proposed architecture has been tested on a number of data sets and its performance was compared to five benchmark algorithms. The results showed that the testing accuracy of the developed architecture is comparable to the rotation forest and is better than the other benchmark algorithms.
Al-sharif, AAA & Pradhan, B 2016, 'Spatio-temporal Prediction of Urban Expansion Using Bivariate Statistical Models: Assessment of the Efficacy of Evidential Belief Functions and Frequency Ratio Models', Applied Spatial Analysis and Policy, vol. 9, no. 2, pp. 213-231.
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Altaee, A & Hilal, N 2016, 'Dual stage PRO power generation from brackish water brine and wastewater effluent feeds', Desalination, vol. 389, pp. 68-77.
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© 2015. Multi-Stage pumping Dual Stage PRO, MSDSPRO, process was proposed for power generation and brine concentration using brackish water brine and wastewater effluent feeds in stages one and two of the process. MSDSPRO process showed high efficiency for power generation and brackish water brine concentration before disposal. Power density, reverse salt diffusion and brackish water recovery rate were calculated in stages one and two of the DSMSPRO process taking into account the phenomenon of concentration polarization. The results showed that the MSDSPRO process efficiency for power generation was considerable even at relatively low draw solution concentrations. At 73 g/L draw solution concentration, power density was 4 and 6.25 W/m2 in stages one and two, respectively. Reverse salt diffusion was found to increase with draw solution concentration and it was higher in stage two compared to stage one. The ratio of reverse salt diffusion to power density, Js-r/W (mol/Wh) was calculated to determine draw agent loss per unit of power generation in the MSDSPRO process. The results also showed that volume of brackish water brine decreased by 18% after the PRO membrane treatment. As such, MSDSPRO process can be applied for power generation and reducing the volume of brine waste for disposal which is particularly important in inland desalination.
Altaee, A, Ismail, AF, Sharif, A & Zaragoza, G 2016, 'Dual stage PRO process: impact of the membrane materials of the process performance', Desalination and Water Treatment, vol. 57, no. 14, pp. 6172-6183.
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Altaee, A, Ismail, AF, Sharif, A, Zaragoza, G & Carvalho, PC 2016, 'Two-stage FO-BWRO/NF treatment of saline waters', Desalination and Water Treatment, vol. 57, no. 11, pp. 4842-4852.
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Altaee, A, Millar, GJ & Zaragoza, G 2016, 'Integration and optimization of pressure retarded osmosis with reverse osmosis for power generation and high efficiency desalination', Energy, vol. 103, pp. 110-118.
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© 2016 Elsevier Ltd. Salinity gradient power is proposed as a source of renewable energy when two solutions of different salinity are mixed. In particular, Pressure Retarded Osmosis (PRO) coupled with a Reverse Osmosis process (RO) has been previously suggested for power generation, using RO brine as the draw solution. However, integration of PRO with RO may have further value for increasing the extent of water recovery in a desalination process. Consequently, this study was designed to model the impact of various system parameters to better understand how to design and operate practical PRO-RO units. The impact of feed salinity and recovery rate for the RO process on the concentration of draw solution, feed pressure, and membrane area of the PRO process was evaluated. The PRO system was designed to operate at maximum power density of δP=δπ2. Model results showed that the PRO power density generated intensified with increasing seawater salinity and RO recovery rate. For an RO process operating at 52% recovery rate and 35 g/L feed salinity, a maximum power density of 24 W/m2 was achieved using 4.5 M NaCl draw solution. When seawater salinity increased to 45 g/L and the RO recovery rate was 46%, the PRO power density increased to 28 W/m2 using 5 M NaCl draw solution. The PRO system was able to increase the recovery rate of the RO by up to 18% depending on seawater salinity and RO recovery rate. This result suggested a potential advantage of coupling PRO process with RO system to increase the recovery rate of the desalination process and reduce brine discharge.
Altaee, A, Millar, GJ, Sharif, AO & Zaragoza, G 2016, 'Forward osmosis process for supply of fertilizer solutions from seawater using a mixture of draw solutions', Desalination and Water Treatment, vol. 57, no. 58, pp. 28025-28041.
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© 2016 Balaban Desalination Publications. All rights reserved. Novel desalination approaches are required to provide both drinking and agricultural water as there is ever increasing stress upon precious freshwater resources. It was our hypothesis that a modified Forward Osmosis (FO) process had the potential for production of irrigation water comprising of appropriate concentrations of fertilizers from a seawater feed. Four agents, KNO3, Na2SO4, CaNO3, and MgCl2, plus 35 g/L seawater were used as the draw and feed solutions of the FO process. Net Driving Pressure in the FO process was manipulated either by increasing the concentration of draw solution (FO process) or by increasing feed pressure (Pressure Assisted FO (PAFO) process). A series of nanofiltration (NF) and reverse osmosis (RO) membranes were used for the regeneration of draw solution. The results suggested that a PAFO process was more energy efficient than simple FO, provided the energy relating to the brine flow from the NF/RO membrane for pressurizing the feed solution of PAFO process was used. Furthermore, this study suggested using a mixture of a primary draw solution, MgCl2, and a secondary draw solution, KNO3, for NO3 supply into the irrigation water was preferable. As such, MgCl2 provided the driving force for fresh water extraction while KNO3 was the source of fertilizer in the irrigation water. Results showed that water quality provided by application of a MgCl2 + KNO3 draw solution was better than that from KNO3 or Ca(NO3)2. The concentrations of NO3 and SO4 in irrigation water were within recommended levels when the diluted draw solution was regenerated by a dual stage low-pressure RO process.
Altaee, A, Sharif, AO & Hamdan, M 2016, 'Nanofiltration separation of highly concentrated multivalent electrolyte draw solution; a pilot plant study', Desalination and Water Treatment, vol. 57, no. 43, pp. 20237-20247.
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© 2015 Balaban Desalination Publications. All rights reserved. Nanofiltration membrane system is proposed for the regeneration of draw solution in a two-stage forward osmosis (FO) process. Pilot plant experiments were carried out on two types of multivalent electrolyte draw solutions, MgSO4 and MgCl2. Two commercial size NF90-4040 Filmtec Nanofiltration (NF) membranes were packed in a high-pressure vessel for the regeneration of draw solution. The concentrations of the draw solution used were between 20 and 118 g/L. The impact of feed concentration, flow rate and feed pressure on the performance of NF membrane was investigated. Both metal salts have shown a high rejection rate by the NF membrane. The rejection rate to the MgSO4 was slightly higher than that to the MgCl2. Experimental results showed that NF rejection rate and permeate flow rate increased with increasing the feed pressure and flow rate but decreased with increasing the concentration of feed solution. However, this was achieved at the expense of higher power consumption. In general, the efficiency of NF system for the regeneration of draw solution was higher at lower feed concentration. This suggests that NF separation method is probably more suitable for the regeneration of low concentration draw solution which is generated from brackish water FO treatment plants. Furthermore, NF application in the regeneration of high-concentration draw solution is not yet feasible due to the limitations in the NF process such operating feed pressure and rejection rate.
Althuwaynee, OF, Pradhan, B & Lee, S 2016, 'A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison', International Journal of Remote Sensing, vol. 37, no. 5, pp. 1190-1209.
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Alvandi, S, Li, W, Schönemann, M, Kara, S & Herrmann, C 2016, 'Economic and environmental value stream map (E2VSM) simulation for multi-product manufacturing systems', International Journal of Sustainable Engineering, vol. 9, no. 6, pp. 354-362.
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Alzoubi, YI, Gill, AQ & Al-Ani, A 2016, 'Empirical studies of geographically distributed agile development communication challenges: A systematic review.', Inf. Manag., vol. 53, no. 1, pp. 22-37.
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© 2015 Elsevier B.V. All rights reserved. There is increasing interest in studying and applying geographically distributed agile development (GDAD). Much has been published on GDAD communication. There is a need to systematically review and synthesize the literature on GDAD communication challenges. Using the SLR approach and applying customized search criteria derived from the research questions, 21 relevant empirical studies were identified and reviewed in this paper. The data from these papers were extracted to identify communication challenges and the techniques used to overcome these challenges. The findings of this research serve as a resource for GDAD practitioners and researchers when setting future research priorities and directions.
Ambusaidi, MA, He, X, Nanda, P & Tan, Z 2016, 'Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm', IEEE Transactions on Computers, vol. 65, no. 10, pp. 2986-2998.
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© 1968-2012 IEEE. Redundant and irrelevant features in data have caused a long-term problem in network traffic classification. These features not only slow down the process of classification but also prevent a classifier from making accurate decisions, especially when coping with big data. In this paper, we propose a mutual information based algorithm that analytically selects the optimal feature for classification. This mutual information based feature selection algorithm can handle linearly and nonlinearly dependent data features. Its effectiveness is evaluated in the cases of network intrusion detection. An Intrusion Detection System (IDS), named Least Square Support Vector Machine based IDS (LSSVM-IDS), is built using the features selected by our proposed feature selection algorithm. The performance of LSSVM-IDS is evaluated using three intrusion detection evaluation datasets, namely KDD Cup 99, NSL-KDD and Kyoto 2006+ dataset. The evaluation results show that our feature selection algorithm contributes more critical features for LSSVM-IDS to achieve better accuracy and lower computational cost compared with the state-of-the-art methods.
An, L & Lu, DD-C 2016, 'Analysis of DC Bus Capacitor Current Ripple Reduction in Basic DC/DC Cascaded Two-Stage Power Converters', IEEE Transactions on Industrial Electronics, vol. 63, no. 12, pp. 7467-7477.
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Anaissi, A, Goyal, M, Catchpoole, DR, Braytee, A & Kennedy, PJ 2016, 'Ensemble Feature Learning of Genomic Data Using Support Vector Machine', PLOS ONE, vol. 11, no. 6, pp. e0157330-e0157330.
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© 2016 Anaissi et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. The identification of a subset of genes having the ability to capture the necessary information to distinguish classes of patients is crucial in bioinformatics applications. Ensemble and bagging methods have been shown to work effectively in the process of gene selection and classification. Testament to that is random forest which combines random decision trees with bagging to improve overall feature selection and classification accuracy. Surprisingly, the adoption of these methods in support vector machines has only recently received attention but mostly on classification not gene selection. This paper introduces an ensemble SVM-Recursive Feature Elimination (ESVM-RFE) for gene selection that follows the concepts of ensemble and bagging used in random forest but adopts the backward elimination strategy which is the rationale of RFE algorithm. The rationale behind this is, building ensemble SVM models using randomly drawn bootstrap samples from the training set, will produce different feature rankings which will be subsequently aggregated as one feature ranking. As a result, the decision for elimination of features is based upon the ranking of multiple SVM models instead of choosing one particular model. Moreover, this approach will address the problem of imbalanced datasets by constructing a nearly balanced bootstrap sample. Our experiments show that ESVM-RFE for gene selection substantially increased the classification performance on five microarray datasets compared to state-of-the-art methods. Experiments on the childhood leukaemia dataset show that an average 9% better accuracy is achieved by ESVM-RFE over SVM-RFE, and 5% over random forest based approach. The selected genes by the ESVM-RFE algo...
Angelini, M, Coupland, M, Schuck, S & Prescott, A 2016, 'Engaging Australian Students in Maths Learning', Reflections, vol. 41, no. 1.
Ansari, AJ, Hai, FI, Guo, W, Ngo, HH, Price, WE & Nghiem, LD 2016, 'Factors governing the pre-concentration of wastewater using forward osmosis for subsequent resource recovery', Science of The Total Environment, vol. 566-567, pp. 559-566.
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Ansari, AJ, Hai, FI, Price, WE & Nghiem, LD 2016, 'Phosphorus recovery from digested sludge centrate using seawater-driven forward osmosis', Separation and Purification Technology, vol. 163, pp. 1-7.
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Ara, P, Yu, K, Cheng, S, Dutkiewicz, E & Heimlich, MC 2016, 'Derivation of CRLB for Wireless Capsule Endoscope Localization Using Received Signal Strength', IEEE Sensors Journal, vol. 16, no. 24, pp. 9064-9074.
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Argent, RM, Sojda, RS, Giupponi, C, McIntosh, B, Voinov, AA & Maier, HR 2016, 'Best practices for conceptual modelling in environmental planning and management', Environmental Modelling & Software, vol. 80, pp. 113-121.
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Argha, A, Li, L, Su, S & Nguyen, H 2016, 'Stabilising the networked control systems involving actuation and measurement consecutive packet losses', IET Control Theory & Applications, vol. 10, no. 11, pp. 1269-1280.
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© 2016 The Institution of Engineering and Technology. This study is devoted to the problem of designing a robust output-feedback discrete-time sliding mode control (ODSMC) for the networked systems involving both measuring and actuating data packet losses. Packet losses in the networked control systems (NCSs) have been modelled by utilising the probability and the characteristics of the sources and the destinations. Here, the well-known Bernoulli random binary distribution is used to model consecutive packet losses in the NCSs. In this study, first, a robust observer-based discrete-time sliding mode control is proposed for the NCSs including random packet losses. The packet losses occur in the channels from the sensors to the controller and the channels from the controller to the actuators. Then, using the notion of exponential mean square stability, the boundedness of the obtained closed-loop system is analysed with a linear matrix inequality approach. Our proposed robust ODSMC can be applied to unstable NCSs, and there is no need to stabilise the underlying system in advance. Illustrative examples are presented to show the effectiveness of the proposed approach.
Argha, A, Li, L, Su, SW & Nguyen, H 2016, 'On LMI-based sliding mode control for uncertain discrete-time systems', Journal of the Franklin Institute, vol. 353, no. 15, pp. 3857-3875.
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© 2016 The Franklin Institute In this paper, a new approach to design a robust discrete-time sliding mode control (DSMC) is proposed for uncertain discrete-time systems. To this end, an LMI approach is used to develop a new framework to design the sliding function which is linear to the state. Our proposed robust DSMC can be applied to unstable systems, and also there is no need to stabilize the underlying system first. It has been argued in the literature that for the systems involving balanced external disturbances, using switching component is not needed. In this paper, it is shown that with the assumption of smoothness of the external disturbances, a different form of switching element in the controller can outperform the so-called linear controller in terms of the thickness of the boundary layer around the sliding function and the ultimate bound on the system state. Also, this paper extends the idea of disturbance estimation to the uncertain discrete-time systems. The disturbance estimator is exploited in the controller design and the boundedness of the obtained closed-loop system is analyzed. Also, two novel forms of variable structure DSMC are suggested in this paper.
Arslan, A, Masjuki, HH, Varman, M, Kalam, MA, Quazi, MM & Mosarof, MH 2016, 'Effect of change in temperature on the tribological performance of micro surface textured DLC coating', Journal of Materials Research, vol. 31, no. 13, pp. 1837-1847.
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Abstract
Arutyunov, N, Bennett, N, Wight, N, Krause‐Rehberg, R, Emtsev, V, Abrosimov, N & Kozlovski, V 2016, 'Positron probing of disordered regions in neutron‐irradiated silicon', physica status solidi (b), vol. 253, no. 11, pp. 2175-2179.
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The vacancy‐rich disordered regions (DR) playing a key role in improving the thermoelectric figure‐of‐merit of silicon thermoelectric generators by reducing (by ∼90%) the thermal conductivity, have been probed with positrons. The DR were created by irradiating n‐Cz‐Si(P) material with the fast reactor neutrons. The parameter of the electron density rs′ ≈ 2.18 a.u. contacting positrons in DR has been reconstructed using the data of the angular correlation of the annihilation radiation (ACAR); the amendments to the rs′ value associated with the ion core electrons were taken into account. It is argued that the ion cores of atoms of silicon as well as the ones of the as‐grown impurities (O, C) are involved in the open vacancy volume to be probed with positrons: a relaxation of the ion cores directed inward toward the vacancy volume seems to take place. These positron traps are formed beyond the vacancy‐rich area of the disordered region. In the course of isochronal annealing, the traps are stable up to Tanneal. ≈ 520 °C when a recovery of ACAR parameters begins and then it continues up to ∼1050 °C.A vacancy center containing positrons in the open vacancy volume beyond the vacancy‐rich area of the disordered region is shown schematically. The emission of electron–positron annihilation gamma‐quanta dominates from within these positron traps. The values of both the electron–positron ion core radius (rm) and electron density (parameter rs′) suggest a relaxation directed toward inwards the open vacancy volume: the impurity atoms o...
Asadnia, M, Kottapalli, AGP, Karavitaki, KD, Warkiani, ME, Miao, J, Corey, DP & Triantafyllou, M 2016, 'From Biological Cilia to Artificial Flow Sensors: Biomimetic Soft Polymer Nanosensors with High Sensing Performance', Scientific Reports, vol. 6, no. 1, p. 32955.
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AbstractWe report the development of a new class of miniature all-polymer flow sensors that closely mimic the intricate morphology of the mechanosensory ciliary bundles in biological hair cells. An artificial ciliary bundle is achieved by fabricating bundled polydimethylsiloxane (PDMS) micro-pillars with graded heights and electrospinning polyvinylidenefluoride (PVDF) piezoelectric nanofiber tip links. The piezoelectric nature of a single nanofiber tip link is confirmed by X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR). Rheology and nanoindentation experiments are used to ensure that the viscous properties of the hyaluronic acid (HA)-based hydrogel are close to the biological cupula. A dome-shaped HA hydrogel cupula that encapsulates the artificial hair cell bundle is formed through precision drop-casting and swelling processes. Fluid drag force actuates the hydrogel cupula and deflects the micro-pillar bundle, stretching the nanofibers and generating electric charges. Functioning with principles analogous to the hair bundles, the sensors achieve a sensitivity and threshold detection limit of 300 mV/(m/s) and 8 μm/s, respectively. These self-powered, sensitive, flexible, biocompatibale and miniaturized sensors can find extensive applications in navigation and maneuvering of underwater robots, artificial hearing systems, biomedical and microfluidic devices.
Asghari, A & Gandomi, AH 2016, 'Ductility reduction factor and collapse mechanism evaluation of a new steel knee braced frame', Structure and Infrastructure Engineering, vol. 12, no. 2, pp. 239-255.
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In this study, the suitability of a new structural system called the knee braced frames (KBFs) is investigated for seismic resistant steel structures. In these structural systems, ends of beams are connected to columns by hinges (simple connection) instead of rigid connections, and ends of knee braced elements are connected to columns and beams by hinges as well. In the present paper, in addition to a comparison between elastic behaviour and elastic fundamental natural period, the ductility reduction factor and the type of collapse mechanism in steel KBFs and steel moment resisting frames (MRFs) are compared. The study revealed that the stiffness of steel buildings can be increased considerably by applying knee braced elements and the effects of knee braced elements are highly dependent on knee braced configuration. By applying the pushover analysis, it was observed that the type of collapse mechanism of KBFs is very similar to the mechanism of MRFs. Furthermore in most cases, the ductility reduction factor, Rμ, obtained from steel KBFs is greater than the ductility reduction factor obtained for steel MRFs. Based on the similarity between type of collapse mechanism and the proximity of ductility reduction coefficients of the KBFs and MRFs systems, it can be concluded that the new steel knee braced frame systems can be categorised as steel MRFs with rigid connections.
Ashe, B, Nguyen, LN, Hai, FI, Lee, D-J, van de Merwe, JP, Leusch, FDL, Price, WE & Nghiem, LD 2016, 'Impacts of redox-mediator type on trace organic contaminants degradation by laccase: Degradation efficiency, laccase stability and effluent toxicity', International Biodeterioration & Biodegradation, vol. 113, pp. 169-176.
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This study compares the effectiveness of seven redox-mediating compounds namely, 1-hydrozybenzotriazole (HBT), N-hydroxyphthalimide (HPI), 2,2,6,6-Tetramethyl-1-piperidinyloxy (TEMPO), violuric acid (VA), syringaldehyde (SA), vanillin (VA), and 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt (ABTS), which follow distinct oxidation pathways, for the degradation of trace organic contaminants (TrOCs). These redox-mediators were investigated for improved degradation of four TrOCs showing resistance to degradation by crude laccase from the white-rot fungus Pleurotus ostreatus. ABTS and VA achieved the highest degradation of the phenolic compounds (i.e., oxybenzone and pentachlorophenol), whereas the non-phenolic compounds (i.e., naproxen and atrazine) were best removed using VA or HBT. This implies that the non-phenolic compounds are more effectively removed by the radical species generated by the [Formula presented] type mediators (i.e., VA and HBT), while removal of the phenolic compounds may depend more on the stability and the redox potential of the radicals generated from the mediator, irrespective of the type. Notably, enzyme stability was greatly affected by the [Formula presented] type mediators but it was compensated by their rapid degradation capacity. Overall, VA and HBT ([Formula presented] type) appear to be the best mediators for enhanced degradation of the selected compounds without causing significant toxicity in the effluent.
Asheralieva, A & Miyanaga, Y 2016, 'An Autonomous Learning-Based Algorithm for Joint Channel and Power Level Selection by D2D Pairs in Heterogeneous Cellular Networks', IEEE Transactions on Communications, vol. 64, no. 9, pp. 3996-4012.
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Asheralieva, A & Miyanaga, Y 2016, 'Dynamic Buffer Status-Based Control for LTE-A Network With Underlay D2D Communication', IEEE Transactions on Communications, vol. 64, no. 3, pp. 1342-1355.
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Asheralieva, A & Miyanaga, Y 2016, 'Dynamic Resource Allocation with Integrated Reinforcement Learning for a D2D-Enabled LTE-A Network with Access to Unlicensed Band', Mobile Information Systems, vol. 2016, pp. 1-18.
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We propose a dynamic resource allocation algorithm for device-to-device (D2D) communication underlying a Long Term Evolution Advanced (LTE-A) network with reinforcement learning (RL) applied for unlicensed channel allocation. In a considered system, the inband and outband resources are assigned by the LTE evolved NodeB (eNB) to different device pairs to maximize the network utility subject to the target signal-to-interference-and-noise ratio (SINR) constraints. Because of the absence of an established control link between the unlicensed and cellular radio interfaces, the eNB cannot acquire any information about the quality and availability of unlicensed channels. As a result, a considered problem becomes a stochastic optimization problem that can be dealt with by deploying a learning theory (to estimate the random unlicensed channel environment). Consequently, we formulate the outband D2D access as a dynamic single-player game in which the player (eNB) estimates its possible strategy and expected utility for all of its actions based only on its own local observations using a joint utility and strategy estimation based reinforcement learning (JUSTE-RL) with regret algorithm. A proposed approach for resource allocation demonstrates near-optimal performance after a small number of RL iterations and surpasses the other comparable methods in terms of energy efficiency and throughput maximization.
Asheralieva, A & Miyanaga, Y 2016, 'Effective resource block allocation procedure for quality of service provisioning in a single-operator heterogeneous LTE-A network', Computer Networks, vol. 108, pp. 1-14.
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Asheralieva, A & Miyanaga, Y 2016, 'Joint Bandwidth and Power Allocation for LTE-Based Cognitive Radio Network Based on Buffer Occupancy', Mobile Information Systems, vol. 2016, pp. 1-23.
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We investigate the problem of resource allocation in a cognitive long-term evolution (LTE) network, where the available bandwidth resources are shared among the primary (licensed) users (PUs) and secondary (unlicensed) users (SUs). Under such spectrum sharing conditions, the transmission of the SUs should have minimal impact on quality of service (QoS) and operating conditions of the PUs. To achieve this goal, we propose to assign the network resources based on the buffer sizes of the PUs and SUs in the uplink (UL) and downlink (DL) directions. To ensure that the QoS requirements of the PUs are satisfied, we enforce some upper bound on the size of their buffers considering two network usage scenarios. In the first scenario, PUs pay full price for accessing the spectrum and get full QoS protection; the SUs access the network for free and are served on a best-effort basis. In the second scenario, PUs pay less in exchange for sharing the bandwidth and get the reduced QoS guarantees; SUs pay some price for their access without any QoS guarantees. Performance of the algorithms proposed in the paper is evaluated using simulations in OPNET environment. The algorithms show superior performance when compared with other relevant techniques.
Asheralieva, A & Miyanaga, Y 2016, 'QoS-Oriented Mode, Spectrum, and Power Allocation for D2D Communication Underlaying LTE-A Network', IEEE Transactions on Vehicular Technology, vol. 65, no. 12, pp. 9787-9800.
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Ashraful, AM, Masjuki, HH, Kalam, MA, Rashedul, HK, Habibullah, M, Rashed, MM, Mosarof, MH & Arslan, A 2016, 'Impact of edible and non-edible biodiesel fuel properties and engine operation condition on the performance and emission characteristics of unmodified DI diesel engine', Biofuels, vol. 7, no. 3, pp. 219-232.
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Askari, M, Li, J & Samali, B 2016, 'A compact self-adaptive recursive least square approach for real-time structural identification with unknown inputs', Advances in Structural Engineering, vol. 19, no. 7, pp. 1118-1129.
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A new online tracking technique, based on recursive least square with adaptive multiple forgetting factors, is presented in this article which can estimate abrupt changes in structural parameters during excitation and also identify the unknown inputs to the structure, for example, earthquake signal. The method considers an adaptive rule for each of the forgetting factors assigned to each of the unknown parameters and thus enables simultaneous identification of different time-varying parameters of the system. The method is validated through both linear and nonlinear case studies, with different excitations and damage scenarios. The results show that the proposed algorithm can effectively identify the time-varying parameters such as damping, stiffness as well as unknown excitations with high computational efficiency, even when the measured data are contaminated with different levels of noise. However, when damage occurs while the excitation is small, the identification error remains at a small range, and therefore, covariance cannot be amplified to effectively track the changes in unknown parameters.
Askari, M, Li, J & Samali, B 2016, 'Application of Kalman Filtering Methods to Online Real-Time Structural Identification: A Comparison Study', International Journal of Structural Stability and Dynamics, vol. 16, no. 06, pp. 1550016-1550016.
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System identification refers to the process of building or improving mathematical models of dynamical systems from the observed experimental input–output data. In the area of civil engineering, the estimation of the integrity of a structure under dynamic loadings and during service condition has become a challenge for the engineering community. Therefore, there has been a great deal of attention paid to online and real-time structural identification, especially when input–output measurement data are contaminated by high-level noise. Among real-time identification methods, one of the most successful and widely used algorithms for estimation of system states and parameters is the Kalman filter and its various nonlinear extensions such as extended Kalman filter (EKF), Iterated EKF (IEKF), the recently developed unscented Kalman filter (UKF) and Iterated UKF (IUKF). In this paper, an investigation has been carried out on the aforementioned techniques for their effectiveness and efficiencies through a highly nonlinear single degree of freedom (SDOF) structure as well as a two-storey linear structure. Although IEKF is an improved version of EKF, results show that IUKF generally produces better results in terms of structural parameters and state estimation than UKF and IEKF. Also IUKF is more robust to noise levels compared to the other approaches.
Askari, M, Li, J & Samali, B 2016, 'Semi-active control of smart building-MR damper systems using novel TSK-Inv and max-min algorithms', Smart Structures and Systems, vol. 18, no. 5, pp. 1005-1028.
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Askari, M, Li, J, Samali, B & Gu, X 2016, 'Experimental forward and inverse modelling of magnetorheological dampers using an optimal Takagi–Sugeno–Kang fuzzy scheme', Journal of Intelligent Material Systems and Structures, vol. 27, no. 7, pp. 904-914.
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An evolving encoding scheme is presented in this article for a fuzzy-based nonlinear system identification scheme, using the subtractive fuzzy C-mean clustering and a modified version of non-dominated sorting genetic algorithm. This method is able to automatically select the best inputs as well as the structure of the fuzzy model such as rules and membership functions. Moreover, three objective functions are considered to satisfy both accuracy and compactness of the model. The developed method is then employed to identify both forward and inverse models of a highly nonlinear structural control device, that is, magnetorheological damper. Experimental results showed that the proposed evolving Takagi–Sugeno–Kang fuzzy model can identify and grasp the nonlinear behaviour of magnetorheological damper very well with minimal number of inputs and fuzzy rules.
Aung, TH, Khabbaz, H & Fatahi, B 2016, 'Parametric Study of Applied Stresses on Infiltration Modular Cells Installed under Roads', Procedia Engineering, vol. 143, pp. 1325-1332.
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© 2016 The Authors. Published by Elsevier B.V. Modular geocellular units are applicable for the prevention and minimisation of stormwater runoff and flooding as a sustainable and cost-effective solution of road applications for drainage. The integrated units buried are exposed to the dead loads and live loads emerging from the surrounding soil pressure, pore water pressure and surcharge. Thus, a computer program using MATLAB is developed for the assessment of the total vertical and lateral earth pressure exerting on the modules complying with the Australian Standards AS 4678 (2002) and AS 5100.2(2004). Lateral earth pressure concept based on Rankine's theory is adopted in this model as the analytical approach. Closed-form solutions based on the fundamental soil mechanics are applied in the analytical calculation steps made. The model also considers different guidelines such as AASHTO LRFD Bridge Design Specifications (2010) for the stress distribution of vehicular loads according to the selected axle type. In consideration of the interaction of the moving vehicle and the bridge, the dynamic load allowance is also applied in terms of the static equivalent of the dynamic and vibratory effect as prescribed in AS 5100.2 (2004). Based on the results obtained, the numerical and theoretical results generated by the program provide considerable and influential factors in regarding to the parametric study and sensitivity analysis presented in this paper.
Aung, Y, Khabbaz, H & Fatahi, B 2016, 'Review on Thermo-mechanical Approach in the Modelling of Geo-materials Incorporating Non-associated Flow Rules', Procedia Engineering, vol. 143, pp. 331-338.
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© 2016 The Authors. Published by Elsevier B.V. Recently, there has been a burgeoning interest in developing constitutive soil models from the laws of thermodynamics, mainly due to the benefits that these models automatically obey them and the approach provides a well-established structure and reduces the need for 'ad hoc' postulates. A thermodynamic framework, also known as thermo-mechanical framework, has the capability to predict the behaviour of geotechnical materials, which requires the anticipated incorporation of non-associated flow rules. As it is very challenging to achieve acceptable accuracy in plasticity modelling of granular materials, this paper aims to review this framework not only to discuss the details of the major components but also to highlight the capability of generating non-associated flow rules in a natural way from thermo-mechanical principles. This approach introduces the use of internal variables to develop the two thermodynamic potentials (the free energy and the rate of dissipation functions), sufficient to derive the corresponding yield function, flow rule, isotropic and kinematic hardening rules as well as the basic elasticity law. It is shown that the non-associated flow rule can be derived naturally from the postulated stress-dependent dissipation increment function. Comparison has been made with stress-independent dissipation to demonstrate that the approach can also successfully explain the behaviour of standard materials with associated flow rules. The basic steps for the thermo-mechanical formulation for developing a constitutive model are also reviewed and summarised. Furthermore, the power of conventional mathematical technique, Legendre transformation, in the derivation of constitutive equations has been highlighted.
Avellino, R, Havermans, M, Erpelinck, C, Sanders, MA, Hoogenboezem, R, van de Werken, HJG, Rombouts, E, van Lom, K, van Strien, PMH, Gebhard, C, Rehli, M, Pimanda, J, Beck, D, Erkeland, S, Kuiken, T, de Looper, H, Gröschel, S, Touw, I, Bindels, E & Delwel, R 2016, 'An autonomous CEBPA enhancer specific for myeloid-lineage priming and neutrophilic differentiation', Blood, vol. 127, no. 24, pp. 2991-3003.
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Key Points The CEBPA locus harbors 14 enhancers of which distinct combinations are active in different CEBPA-expressing tissues. A +42-kb enhancer is required for myeloid-lineage priming to drive adequate CEBPA expression levels necessary for neutrophilic maturation.
Azad, AK, Rasul, MG, Khan, MMK, Sharma, SC, Bhuiya, MMK & Mofijur, M 2016, 'A review on socio-economic aspects of sustainable biofuels', International Journal of Global Warming, vol. 10, no. 1/2/3, pp. 32-32.
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Biofuels are renewable eco-fuel, produced from biological resources. They are classified into 1st, 2nd and 3rd generations based on their feedstocks. The 2nd and 3rd generation biofuels are called advanced and sustainable biofuel. The study reviewed and discussed about socio-economic aspects of the sustainable biofuel in Australia because economy is seen to be a key driver for use of biofuels. Recent researches focused on sustainable biofuel production, their commercialisation worldwide. The world biofuel scenario is presented in this study which shows that total biofuel production is progressively moving towards advanced biofuels. Australian total biofuel production, consumption and available present production facilities are also outlined. The study briefly discussed about Australian energy economy such as energy export, import and trades etc. The study concluded that the 2nd generation biofuel can be considered as sustainable alternatives to petroleum fuel in transport sector providing great economic and environmental benefits to Australia.
Azad, AK, Rasul, MG, Khan, MMK, Sharma, SC, Mofijur, M & Bhuiya, MMK 2016, 'Prospects, feedstocks and challenges of biodiesel production from beauty leaf oil and castor oil: A nonedible oil sources in Australia', Renewable and Sustainable Energy Reviews, vol. 61, pp. 302-318.
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This study critically reviewed the prospects, feedstocks and challenges of biodiesel production from two non-edible oil sources, namely Beauty leaf oil (BLT) (Calophyllum inophyllum) and Castor oil (Ricinus communis). The recent developments and the lifecycle assessment (LCA) of these species such as their habitat, growth, oil content, free fatty acid profile and biodiesel characteristics are briefly discussed. Different oil extraction techniques and biodiesel conversion methods are also presented. The properties of the pure biodiesel and their blends are compared with petroleum diesel under different ASTM and European standards. Furthermore, the literatures on engine performance and emission studies using these biodiesels are reviewed and presented in tabular form. The review found that BLT oil can be catalytically transesterified to produce biodiesel as a potential alternative transport fuel in Australia. The review concludes that castor oil is not only an alternate fuel resource, but it also holds good lubricating properties and hence is a potential bio-lubricant source for internal combustion engines. Further research is needed on combustion, corrosion, tribo-corrosion, long term engine durability tests and tribological performance tests before recommending commercial scale biodiesel production from BLT oil and Castor oil.
Azadeh, A, Aryaee, M, Zarrin, M & Saberi, M 2016, 'A novel performance measurement approach based on trust context using fuzzy T-norm and S-norm operators: The case study of energy consumption', Energy Exploration & Exploitation, vol. 34, no. 4, pp. 561-585.
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In today’s economic environment, performance and efficiency assessment is essential for organizations in order to survive and raise their market share. Energy efficient consumption is a major issue in the energy planning of each country which is a big concern of managers, hence, exploitation of a strong approach for efficiency evaluation and assessment seems necessary in the energy section. In this study, a novel performance assessment model is proposed based on the concept of trust, using two popular fuzzy operators called T-norm and S-norm. The developed model is applied for a real case study of energy consumption efficiency assessment for 36 countries. An adaptive network based fuzzy inference system (ANFIS) is used to measure the efficiencies. Also, to predict efficiency rates of the future time periods, a regression model is applied as a time series model. The obtained results indicate the superiority and applicability of the proposed methodology. To the best of our knowledge, this is the first study that proposes a novel performance measurement approach based on trust context by using fuzzy T-norm and S-norm operators.
Azari, B, Fatahi, B & Khabbaz, H 2016, 'Assessment of the Elastic-Viscoplastic Behavior of Soft Soils Improved with Vertical Drains Capturing Reduced Shear Strength of a Disturbed Zone', International Journal of Geomechanics, vol. 16, no. 1, pp. B4014001-B4014001.
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© 2015 American Society of Civil Engineers. Soil disturbance induced by the installation of vertical drains reduces the horizontal soil permeability and shear strength in the disturbed zone. Thus, the soil disturbance contributes to the reduced overconsolidation ratio (OCR) of the soil in the vicinity of drains, influencing soil deformation. Although a significant amount of research has been conducted on the effect of permeability variations in the smear zone, the influence of the reduced shear strength in the smear zone on the ground behavior has not been investigated. In this study, a numerical solution adopting an elastic-viscoplastic model with nonlinear creep function in combination with the consolidation equations has been developed. Moreover, the effects of shear strength variation in the disturbed zone on the time-dependent behavior of soft soil deposits improved with vertical drains and preloading have been studied. The applied elastic-viscoplastic model is based on the framework of the modified Cam-clay model, capturing soil creep during excess pore-water pressure dissipation. Furthermore, nonlinear variations of the creep coefficient with stress and time as well as the permeability variations during the consolidation process are considered. The predicted results have been compared with available field measurements. According to the results, the OCR profile of the disturbed zone influences the viscoplastic strain rate, the creep strain limit, and consequently the soil deformation.
Babaee, M & Castel, A 2016, 'Chloride-induced corrosion of reinforcement in low-calcium fly ash-based geopolymer concrete', Cement and Concrete Research, vol. 88, pp. 96-107.
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Babaee, M & Castel, A 2016, 'Steel Reinforcement Corrosion in a Low Calcium Fly Ash Geopolymer Concrete', Key Engineering Materials, vol. 711, pp. 943-949.
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Geopolymer concrete (GPC) has significant potential as a more sustainable, low-embodied carbon alternative for ordinary Portland cement concrete (PCC). However; as a rather new engineering material, there are some concerns over the durability aspects of geopolymeric binders. In this study, performance of chloride contaminated reinforced GPC specimens manufactured using low calcium fly ash is investigated by long-term monitoring of corrosion parameters such as free corrosion potential and polarization resistance. It was found that low calcium fly ash GPC can perform as well as PCC during the propagation phase of corrosion; although, some conventional reference values of corrosion parameters which are indicative of severity of the steel corrosion in PCC are not suitable for GPC. Additionally, commonly used electrochemical test methods are successfully employed to assess the degree of reinforcement corrosion in geopolymeric binders within an acceptable level of accuracy.
Ball, D, Upcroft, B, Wyeth, G, Corke, P, English, A, Ross, P, Patten, T, Fitch, R, Sukkarieh, S & Bate, A 2016, 'Vision-based Obstacle Detection and Navigation for an Agricultural Robot', JOURNAL OF FIELD ROBOTICS, vol. 33, no. 8, pp. 1107-1130.
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This paper describes a vision-based obstacle detection and navigation system for use as part of a robotic solution for the sustainable intensification of broad-acre agriculture. To be cost-effective, the robotics solution must be competitive with current human-driven farm machinery. Significant costs are in high-end localization and obstacle detection sensors. Our system demonstrates a combination of an inexpensive global positioning system and inertial navigation system with vision for localization and a single stereo vision system for obstacle detection. The paper describes the design of the robot, including detailed descriptions of three key parts of the system: novelty-based obstacle detection, visually-aided guidance, and a navigation system that generates collision-free kinematically feasible paths. The robot has seen extensive testing over numerous weeks of field trials during the day and night. The results in this paper pertain to one particular 3 h nighttime experiment in which the robot performed a coverage task and avoided obstacles. Additional results during the day demonstrate that the robot is able to continue operating during 5 min GPS outages by visually following crop rows.
Bano, M, Zowghi, D & Sarkissian, N 2016, 'Empirical study of communication structures and barriers in geographically distributed teams', IET SOFTWARE, vol. 10, no. 5, pp. 147-153.
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Conway's law asserts that communication structures of organisations constrain the design of the products they develop. This law is more explicitly observable in geographically distributed contexts because distributed teams are required to share information across different time zones and barriers. The diverse business processes and functions adopted by individual teams in geographically distributed settings create challenges for effective communication. Since the publication of Conway's law, a significant body of research has emerged in its relation to the communication structures. When it comes to software projects, the explicit observation about Conway's law has produced mixed results. The research reported in this study explores the communication structures and corresponding challenges faced by teams within a large geographically distributed software development organisation. The data was collected from relevant documents, a questionnaire and interviews with relevant stakeholders. The findings suggest that Conway's law is observable within the communication structures of globally distributed software development teams. The authors have identified the barriers and challenges of effective communications in this setting and have investigated the benefits of utilising an integrated system to overcome these challenges.
Basack, S, Indraratna, B & Rujikiatkamjorn, C 2016, 'Analysis of the Behaviour of Stone Column Stabilized Soft Ground Supporting Transport Infrastructure', Procedia Engineering, vol. 143, pp. 347-354.
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Basack, S, Indraratna, B & Rujikiatkamjorn, C 2016, 'Modeling the Performance of Stone Column–Reinforced Soft Ground under Static and Cyclic Loads', Journal of Geotechnical and Geoenvironmental Engineering, vol. 142, no. 2, pp. 04015067-04015067.
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Bastidas-Arteaga, E & Stewart, MG 2016, 'Economic assessment of climate adaptation strategies for existing reinforced concrete structures subjected to chloride-induced corrosion', Structure and Infrastructure Engineering, vol. 12, no. 4, pp. 432-449.
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Reinforced concrete (RC) structures placed in chloride-contaminated environments are subjected to deterioration processes that affect their performance, serviceability and safety. Chloride ingress leads to corrosion initiation and its interaction with service loading could reduce its operational life. Chloride ingress and corrosion propagation are highly influenced by weather conditions in the surrounding environment including climate change. Therefore, both structural design and maintenance should be adapted to these new environmental conditions. This study focuses on the assessment of the costs and benefits of climate adaptation strategies for existing RC structures subjected to chloride ingress and climate change. We studied RC structures built at different periods under different construction standards in France. The cost-effectiveness of adaptation measures was measured in terms of the benefit-to-cost ratio (BCR) and the probability that BCR exceeds unity – i.e. Pr(BCR>1). The results of the paper could provide practical advice to policy-makers to improve the management of existing RC structures under a changing climate by discussing the influence of the following factors on the mean BCR and Pr(BCR>1): specific exposure conditions, climate change scenarios, risk reduction due to the implementation of adaptation strategies, type of structural component, years of construction and adaptation, discount rates and damage costs.
Belete, GF & Voinov, A 2016, 'Exploring temporal and functional synchronization in integrating models: A sensitivity analysis', Computers & Geosciences, vol. 90, pp. 162-171.
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Belhaj, D, Athmouni, K, Jerbi, B, Kallel, M, Ayadi, H & Zhou, JL 2016, 'Estrogenic compounds in Tunisian urban sewage treatment plant: occurrence, removal and ecotoxicological impact of sewage discharge and sludge disposal', Ecotoxicology, vol. 25, no. 10, pp. 1849-1857.
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The occurrence, fate and ecotoxicological assessment of selected estrogenic compounds were investigated at Tunisian urban sewage treatment plant. The influents, effluents, as well as primary, secondary and dehydrated sludge, were sampled and analyzed for the target estrogens to evaluate their fate. All target compounds were detected in both sewage and sludge with mean concentrations from 0.062 to 0.993 μg L-1 and from 11.8 to 792.9 μg kg-1dry weight, respectively. A wide range of removal efficiencies during the treatment processes were observed, from 6.3 % for estrone to 76.8 % for estriol. Ecotoxicological risk assessment revealed that the highest ecotoxicological risk in sewage effluent and dehydrated sludge was due to 17β-estradiol with a risk quotient (RQ) of 4.6 and 181.9, respectively, and 17α-ethinylestradiol with RQ of 9.8 and 14.85, respectively. Ecotoxicological risk after sewage discharge and sludge disposal was limited to the presence of 17β-estradiol in dehydrated-sludge amended soil with RQ of 1.38. Further control of estrogenic hormones in sewage effluent and sludge is essential before their discharge and application in order to prevent their introduction into the natural environment.
Belhaj, D, Jerbi, B, Medhioub, M, Zhou, J, Kallel, M & Ayadi, H 2016, 'Impact of treated urban wastewater for reuse in agriculture on crop response and soil ecotoxicity', Environmental Science and Pollution Research, vol. 23, no. 16, pp. 15877-15887.
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© 2015, Springer-Verlag Berlin Heidelberg. The scarcity of freshwater resources is a serious problem in arid regions, such as Tunisia, and marginal quality water is gradually being used in agriculture. This study aims to study the impact of treated urban wastewater for reuse in agriculture on the health of soil and food crops. The key findings are that the effluents of Sfax wastewater treatment plant (WWTP) did not meet the relevant guidelines, therefore emitting a range of organic (e.g., up to 90 mg L−1 COD and 30 mg L−1 BOD5) and inorganic pollutants (e.g., up to 0.5 mg L−1 Cu and 0.1 mg L−1 Cd) in the receiving aquatic environments. Greenhouse experiments examining the effects of wastewater reuse on food plants such as tomato, lettuce, and radish showed that the treated effluent adversely affected plant growth, photosynthesis, and antioxidant enzyme contents. However, the pollution burden and biological effects on plants were substantially reduced by using a 50 % dilution of treated sewage effluent, suggesting the potential of reusing treated effluent in agriculture so long as appropriate monitoring and control is in place.
Bellmann, A, Schneider, S, Schallow, J, Hartung, J, Litterscheidt, J & Deuse, J 2016, 'Enhanced predictability of agile procedures', WT Werkstattstechnik, vol. 106, no. 7-8, pp. 550-554.
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In academics and industry the use of agile procedures for planning of production systems is a steady upward trend. Besides the potential efficiency improvements new challenges in the predictability of projects arise. The methodology described in this paper increases this by a synchronous collaboration model of all disciplines involved and with the establishment of standardized planning contents with standard times.
Benavides Espinosa, MDM & Merigó Lindahl, JM 2016, 'Organizational design as a learning enabler: A fuzzy-set approach', Journal of Business Research, vol. 69, no. 4, pp. 1340-1344.
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In the literature on organizational learning, very few empirical studies attempt to show how organizational design can enable or hinder learning in organizations. This study uses a fuzzy-set technique (fuzzy-set qualitative comparative analysis: fsQCA) as an initial approach to analyzing different design variables and how they affect organizational learning. The results prove that themechanical structures are suitable for organizational learning, especially in large companies. Furthermore, qualified workers should have autonomy to learn.
Bengua, JA, Phien, HN, Tuan, HD & Do, MN 2016, 'Efficient tensor completion for color image and video recovery: Low-rank tensor train', IEEE Transactions on Image Processing, vol. 26, no. 5, pp. 2466-2479.
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This paper proposes a novel approach to tensor completion, which recoversmissing entries of data represented by tensors. The approach is based on thetensor train (TT) rank, which is able to capture hidden information fromtensors thanks to its definition from a well-balanced matricization scheme.Accordingly, new optimization formulations for tensor completion are proposedas well as two new algorithms for their solution. The first one called simplelow-rank tensor completion via tensor train (SiLRTC-TT) is intimately relatedto minimizing a nuclear norm based on TT rank. The second one is from amultilinear matrix factorization model to approximate the TT rank of a tensor,and is called tensor completion by parallel matrix factorization via tensortrain (TMac-TT). A tensor augmentation scheme of transforming a low-ordertensor to higher-orders is also proposed to enhance the effectiveness ofSiLRTC-TT and TMac-TT. Simulation results for color image and video recoveryshow the clear advantage of our method over all other methods.
Bengua, JA, Phien, HN, Tuan, HD & Do, MN 2016, 'Matrix Product State for Higher-Order Tensor Compression and Classification', IEEE Transactions on Signal Processing, vol. 65, no. 15, pp. 4019-4030.
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This paper introduces matrix product state (MPS) decomposition as a new andsystematic method to compress multidimensional data represented by higher-ordertensors. It solves two major bottlenecks in tensor compression: computation andcompression quality. Regardless of tensor order, MPS compresses tensors tomatrices of moderate dimension which can be used for classification. Mainlybased on a successive sequence of singular value decompositions (SVD), MPS isquite simple to implement and arrives at the global optimal matrix, bypassinglocal alternating optimization, which is not only computationally expensive butcannot yield the global solution. Benchmark results show that MPS can achievebetter classification performance with favorable computation cost compared toother tensor compression methods.
Bennett, NS, Byrne, D, Cowley, A & Neophytou, N 2016, 'Dislocation loops as a mechanism for thermoelectric power factor enhancement in silicon nano-layers', Applied Physics Letters, vol. 109, no. 17, pp. 173905-173905.
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A more than 70% enhancement in the thermoelectric power factor of single-crystal silicon is demonstrated in silicon nano-films, a consequence of the introduction of networks of dislocation loops and extended crystallographic defects. Despite these defects causing reductions in electrical conductivity, carrier concentration, and carrier mobility, large corresponding increases in the Seebeck coefficient and reductions in thermal conductivity lead to a significant net enhancement in thermoelectric performance. Crystal damage is deliberately introduced in a sub-surface nano-layer within a silicon substrate, demonstrating the possibility to tune the thermoelectric properties at the nano-scale within such wafers in a repeatable, large-scale, and cost-effective way.
Bennett, NS, Wong, CS & McNally, PJ 2016, 'Simultaneous depth-profiling of electrical and elemental properties of ion-implanted arsenic in silicon by combining secondary-ion mass spectrometry with resistivity measurements', Review of Scientific Instruments, vol. 87, no. 7, pp. 074702-074702.
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A method is proposed to extract the electrical data for surface doping profiles of semiconductors in unison with the chemical profile acquired by secondary-ion mass spectrometry (SIMS)—a method we call SIMSAR (secondary-ion mass spectrometry and resistivity). The SIMSAR approach utilizes the inherent sputtering process of SIMS, combined with sequential four-point van der Pauw resistivity measurements, to surmise the active doping profile as a function of depth. The technique is demonstrated for the case of ion-implanted arsenic doping profiles in silicon. Complications of the method are identified, explained, and corrections for these are given. While several techniques already exist for chemical dopant profiling and numerous for electrical profiling, since there is no technique which can measure both electrical and chemical profiles in parallel, SIMSAR has significant promise as an extension of the conventional dynamic SIMS technique, particularly for applications in the semiconductor industry.
Bernabé-Rubio, M, Andrés, G, Casares-Arias, J, Fernández-Barrera, J, Rangel, L, Reglero-Real, N, Gershlick, DC, Fernández, JJ, Millán, J, Correas, I, Miguez, DG & Alonso, MA 2016, 'Novel role for the midbody in primary ciliogenesis by polarized epithelial cells', Journal of Cell Biology, vol. 214, no. 3, pp. 259-273.
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The primary cilium is a membrane protrusion that is crucial for vertebrate tissue homeostasis and development. Here, we investigated the uncharacterized process of primary ciliogenesis in polarized epithelial cells. We show that after cytokinesis, the midbody is inherited by one of the daughter cells as a remnant that initially locates peripherally at the apical surface of one of the daughter cells. The remnant then moves along the apical surface and, once proximal to the centrosome at the center of the apical surface, enables cilium formation. The physical removal of the remnant greatly impairs ciliogenesis. We developed a probabilistic cell population–based model that reproduces the experimental data. In addition, our model explains, solely in terms of cell area constraints, the various observed transitions of the midbody, the beginning of ciliogenesis, and the accumulation of ciliated cells. Our findings reveal a biological mechanism that links the three microtubule-based organelles—the midbody, the centrosome, and the cilium—in the same cellular process.
Berta, M, Scholz, VB & Tomamichel, M 2016, 'Rényi divergences as weighted non-commutative vector valued $L_p$-spaces', e, vol. 19, no. 6, pp. 1843-1867.
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We show that Araki and Masuda's weighted non-commutative vector valued$L_p$-spaces [Araki \& Masuda, Publ. Res. Inst. Math. Sci., 18:339 (1982)]correspond to an algebraic generalization of the sandwiched R\'enyi divergenceswith parameter $\alpha = \frac{p}{2}$. Using complex interpolation theory, weprove various fundamental properties of these divergences in the setup of vonNeumann algebras, including a data-processing inequality and monotonicity in$\alpha$. We thereby also give new proofs for the correspondingfinite-dimensional properties. We discuss the limiting cases $\alpha\to\{\frac{1}{2},1,\infty\}$ leading to minus the logarithm of Uhlmann's fidelity,Umegaki's relative entropy, and the max-relative entropy, respectively. As acontribution that might be of independent interest, we derive a Riesz-Thorintheorem for Araki-Masuda $L_p$-spaces and an Araki-Lieb-Thirring inequality forstates on von Neumann algebras.
Bhattacharya, S, Saha, T & Hossain, MJ 2016, 'Fault contribution from large photovoltaic systems in building power supply networks', Journal of Building Engineering, vol. 5, pp. 222-230.
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Biabani, MM, Indraratna, B & Ngo, NT 2016, 'Modelling of geocell-reinforced subballast subjected to cyclic loading', Geotextiles and Geomembranes, vol. 44, no. 4, pp. 489-503.
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This paper presents the experimental and numerical studies of geocell-reinforced subballast subjected to cyclic loading. A series of laboratory experiments were conducted using a large-scale prismoidal triaxial apparatus that was subjected to relatively low confining pressures of σ'3 = 10-30 kPa and a frequency of f = 10 Hz. Numerical simulations were performed using the commercial finite element package ABAQUS in three dimensions to realistically model cellular confinement, and to study the effectiveness of geocell reinforcement on subballast. A cyclic loading with a periodic and positive full-sine waveform was adopted to model the geocell-reinforced subballast, which is similar to the load carried out in the laboratory. The results of numerical modelling agreed well with the experimental data, and showed that geocell could effectively decrease the lateral and axial deformations of the reinforced subballast. The numerical model was also validated by the field data, and the results were found to be in good agreement, indicating that the proposed model was able to capture the load-deformation behaviour of geocell-reinforced subballast under cyclic loading. A parametric study was also carried out to evaluate the effect of the subballast strength and geocell stiffness on the mobilized tensile strength in the geocell mattress. It was found that the maximum mobilized tensile stress occurs on the subballast with the lowest degree of stiffness. Also the results revealed that lateral displacement decreased further by increasing geocell stiffness, and geocell with a relatively low stiffness performs very well compared to the geocell with a higher stiffness.
Biabani, MM, Indraratna, B & Nimbalkar, S 2016, 'Assessment of Interface Shear Behaviour of Sub-ballast with Geosynthetics by Large-scale Direct Shear Test', Procedia Engineering, vol. 143, pp. 1007-1015.
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© 2016 The Authors. Published by Elsevier B.V.A series of large-scale direct shear test were conducted to study the interface shear strength of subballast reinforced with different types of geomembranes and geogrids. The impact of normal stress (σn), shearing rate (SR), relative density (DR) and open area (OA%) on the behaviour of granular material was investigated in unreinforced and reinforced condition. The results revealed that the performance of material was markedly influenced by σn and OA. The results also showed that geogrids provided a greater value of passive resistance owing to have transverse ribs, but the mobilised passive resistance became smaller with increase in OA. The triaxial grids offered more passive resistance than biaxial geogrid.
Biabani, MM, Ngo, NT & Indraratna, B 2016, 'Performance evaluation of railway subballast stabilised with geocell based on pull-out testing', Geotextiles and Geomembranes, vol. 44, no. 4, pp. 579-591.
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A large-scale apparatus was designed and built at the University of Wollongong to evaluate the pull-out strength of rail subballast reinforced with geocells. A series of tests were carried out to investigate the pull-out resistance, mobilised tensile strength (τtensile) and passive strength (τpassive) of a subballast-geocell assembly under a given range of overburden pressure (1 kPa ≤ q ≤ 45 kPa). The interface was held in a vertical alignment to better simulate the interaction between subballast and geocell in accordance with routine track practices. The test results show that the geocell reinforcement provides a considerable degree of passive resistance, where the opening area (OA) and lateral pressure (σn) over the geocell strip are found to be influential factors. A three-dimensional finite element simulation was also conducted. The numerical results show that the tensile strength mobilised in the geocell will increase as the geocell stiffness increases, but causes a reduction in τpassive. A parametric study was also developed to investigate the impact of geocell stiffness and friction coefficient on the passive resistance and mobilised tensile strength. These results indicate that the passive resistance and mobilised tensile strength increase with the increase in overburden pressure (q) and friction coefficient (δ).
Bidram, E, Sulistio, A, Amini, A, Fu, Q, Qiao, GG, Stewart, A & Dunstan, DE 2016, 'Fractionation of graphene oxide single nano-sheets in water-glycerol solutions using gradient centrifugation', Carbon, vol. 103, pp. 363-371.
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A centrifugation method for the separation and fractionation of graphene oxide (GO) single nano-sheets in the size range of 150-850 nm is reported. The measured electrophoretic mobility of the fractionated single sheets ranges from -0.2 to -1.4 μm cm/V·s where the interpreted zeta potentials vary from -3 mV to -17 mV with increasing sheet size. The single GO sheets show auto-fluorescence in the visible range of 350-650 nm using an excitation wavelength of 200 nm. Furthermore, the GO nano-sheets functionalized using PEG are found to be non-cytotoxic in in-vitro at concentrations up to 90 μg/ml, with a small reduction in cell viability -10%- at 260 μg/ml. The observed concentration-dependence of the cytotoxicity potentially explains the differing conclusions on cytotoxic potential reported in the literature. The GO nano-sheets therefore have the potential to be used as fluorescent drug delivery carriers of specific size.
Binci, L, Tu, C, Zhu, H & Lee, JE-Y 2016, 'Planar ring-shaped phononic crystal anchoring boundaries for enhancing the quality factor of Lamb mode resonators', Applied Physics Letters, vol. 109, no. 20.
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We report the use of planar ring-shaped phononic crystals (PnCs) as anchor boundaries of very-high-frequency band piezoelectric-on-silicon Lamb mode resonators for the purpose of enhancing their quality factor (Q). Here, we exploit the acoustic bandgap associated with the PnC anchoring boundaries to reduce acoustic energy leakage out of the micromechanical resonator. The proposed approach provides greater mechanical robustness (by merit of interlocking the cells in a matrix) and the possibility of electrical routing through the PnC cells. We experimentally show enhancements in Q by a factor of three using the proposed approach of hybridizing planar ring-shaped PnCs with micromechanical resonators. The effect of these PnCs on resonator Q is further corroborated by their effects in suppressing transmission when incorporated into a delay line.
Blanco-Mesa, F, Merigó, JM & Kacprzyk, J 2016, 'Bonferroni means with distance measures and the adequacy coefficient in entrepreneurial group theory', Knowledge-Based Systems, vol. 111, pp. 217-227.
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© 2016 The aim of the paper is to develop new aggregation operators using Bonferroni means, OWA operators and some distance measure. We introduce the BON-OWAAC and BON-OWAIMAM operators. We are able to include coefficient adequacy and the maximum and minimum levels in the same formulation with Bonferroni means and an OWA operator. The main advantages of using these operators are that they allow consideration of continuous aggregations, multiple comparisons between each argument and distance measures in the same formulation. An application is developed using these new algorithms in combination with Moore's families and Galois lattices to solve group decision-making problems. The professional and personal interests of the entrepreneurs who share co-working spaces are taken as an example for establishing relationships and groups. According to the professional and personal profile affinities for each entrepreneur, the results show dissimilarity and fuzzy relationships and the maximum similarity sub-relations to establish relationships and groups using Moore's families and Galois lattice. Finally, this new type of distance family can be used for applications in areas such as sports teams, strategy marketing and teamwork.
Bliuc, D, Tran, T, Alarkawi, D, Nguyen, TV, Eisman, JA & Center, JR 2016, 'Secular Changes in Postfracture Outcomes Over 2 Decades in Australia: A Time-Trend Comparison of Excess Postfracture Mortality in Two Birth Controls Over Two Decades', The Journal of Clinical Endocrinology & Metabolism, vol. 101, no. 6, pp. 2475-2483.
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Abstract Context: Hip fracture incidence has been declining and life expectancy improving. However, trends of postfracture outcomes are unknown. Objectives: The objective of the study was to compare the refracture risk and excess mortality after osteoporotic fracture between two birth cohorts, over 2 decades. Design: Prospective birth cohorts were followed up over 2 decades (1989–2004 and 2000–2014). Setting: The study was conducted in community-dwelling participants in Dubbo, Australia. Participants: Women and men aged 60–80 years, participating in Dubbo Osteoporosis Epidemiology Study 1 (DOES 1; born before 1930) and Dubbo Osteoporosis Epidemiology Study 2 (DOES 2; born after 1930) participated in the study. Main Outcome Measure: Age-standardized fracture and mortality over two time intervals: (1989–2004 [DOES 1] and 2000–2014 [DOES 2]) were measured. Results: The DOES 2 cohort had higher body mass index and bone mineral density and lower initial fracture rate than DOES 1, but similar refracture rates [age-standardized refracture rates per 1000 person-years: wome...
Blount, Y, Abedin, B, Vatanasakdakul, S & Erfani, S 2016, 'Integrating enterprise resource planning (SAP) in the accounting curriculum: a systematic literature review and case study', Accounting Education, vol. 25, no. 2, pp. 185-202.
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© 2016 Taylor & Francis. This study investigates how an enterprise resource planning (ERP) software package SAP was integrated into the curriculum of an accounting information systems (AIS) course in an Australian university. Furthermore, the paper provides a systematic literature review of articles published between 1990 and 2013 to understand how ERP systems were integrated into curriculums of other institutions, and to inform the curriculum designers on approaches for adopting SAP, the benefits and potential limitations. The experiences of integrating SAP into an AIS course from both the students and teaching staff perspectives are described and evaluated. The main finding was the importance of resourcing the instructors with technical and pedagogical support to achieve the learning outcomes. The paper concludes by proposing critical success factors for integrating ERP effectively into an AIS course.
Boixo, S, Isakov, SV, Smelyanskiy, VN, Babbush, R, Ding, N, Jiang, Z, Bremner, MJ, Martinis, JM & Neven, H 2016, 'Characterizing Quantum Supremacy in Near-Term Devices', Nature Physics, vol. 14, no. 6, pp. 595-600.
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A critical question for the field of quantum computing in the near future iswhether quantum devices without error correction can perform a well-definedcomputational task beyond the capabilities of state-of-the-art classicalcomputers, achieving so-called quantum supremacy. We study the task of samplingfrom the output distributions of (pseudo-)random quantum circuits, a naturaltask for benchmarking quantum computers. Crucially, sampling this distributionclassically requires a direct numerical simulation of the circuit, withcomputational cost exponential in the number of qubits. This requirement istypical of chaotic systems. We extend previous results in computationalcomplexity to argue more formally that this sampling task must take exponentialtime in a classical computer. We study the convergence to the chaotic regimeusing extensive supercomputer simulations, modeling circuits with up to 42qubits - the largest quantum circuits simulated to date for a computationaltask that approaches quantum supremacy. We argue that while chaotic states areextremely sensitive to errors, quantum supremacy can be achieved in thenear-term with approximately fifty superconducting qubits. We introduce crossentropy as a useful benchmark of quantum circuits which approximates thecircuit fidelity. We show that the cross entropy can be efficiently measuredwhen circuit simulations are available. Beyond the classically tractableregime, the cross entropy can be extrapolated and compared with theoreticalestimates of circuit fidelity to define a practical quantum supremacy test.
Botezatu, L, Michel, LC, Makishima, H, Schroeder, T, Germing, U, Haas, R, van der Reijden, B, Marneth, AE, Bergevoet, SM, Jansen, JH, Przychodzen, B, Wlodarski, M, Niemeyer, C, Platzbecker, U, Ehninger, G, Unnikrishnan, A, Beck, D, Pimanda, J, Hellström-Lindberg, E, Malcovati, L, Boultwood, J, Pellagatti, A, Papaemmanuil, E, Le Coutre, P, Kaeda, J, Opalka, B, Möröy, T, Dührsen, U, Maciejewski, J & Khandanpour, C 2016, 'GFI136N as a therapeutic and prognostic marker for myelodysplastic syndrome', Experimental Hematology, vol. 44, no. 7, pp. 590-595.e1.
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Bovand, M, Rashidi, S, Esfahani, JA, Saha, SC, Gu, YT & Dehesht, M 2016, 'Control of flow around a circular cylinder wrapped with a porous layer by magnetohydrodynamic', Journal of Magnetism and Magnetic Materials, vol. 401, pp. 1078-1087.
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Bowers, ML, Gao, Y, Yang, L, Gaydosh, DJ, De Graef, M, Noebe, RD, Wang, Y & Mills, MJ 2016, 'Corrigendum to “Austenite grain refinement during load-biased thermal cycling of a Ni49.9Ti50.1 shape memory alloy” [Acta Mater. 91 (2015) 318–329]', Acta Materialia, vol. 108, pp. 380-380.
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Bremner, MJ, Montanaro, A & Shepherd, DJ 2016, 'Achieving quantum supremacy with sparse and noisy commuting quantum computations', Quantum, vol. 1, pp. 8-8.
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The class of commuting quantum circuits known as IQP (instantaneous quantumpolynomial-time) has been shown to be hard to simulate classically, assumingcertain complexity-theoretic conjectures. Here we study the power of IQPcircuits in the presence of physically motivated constraints. First, we showthat there is a family of sparse IQP circuits that can be implemented on asquare lattice of n qubits in depth O(sqrt(n) log n), and which is likely hardto simulate classically. Next, we show that, if an arbitrarily small constantamount of noise is applied to each qubit at the end of any IQP circuit whoseoutput probability distribution is sufficiently anticoncentrated, there is apolynomial-time classical algorithm that simulates sampling from the resultingdistribution, up to constant accuracy in total variation distance. However, weshow that purely classical error-correction techniques can be used to designIQP circuits which remain hard to simulate classically, even in the presence ofarbitrary amounts of noise of this form. These results demonstrate thechallenges faced by experiments designed to demonstrate quantum supremacy overclassical computation, and how these challenges can be overcome.
Bremner, MJ, Montanaro, A & Shepherd, DJ 2016, 'Average-Case Complexity Versus Approximate Simulation of Commuting Quantum Computations', PHYSICAL REVIEW LETTERS, vol. 117, no. 8.
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© 2016 American Physical Society. We use the class of commuting quantum computations known as IQP (instantaneous quantum polynomial time) to strengthen the conjecture that quantum computers are hard to simulate classically. We show that, if either of two plausible average-case hardness conjectures holds, then IQP computations are hard to simulate classically up to constant additive error. One conjecture relates to the hardness of estimating the complex-temperature partition function for random instances of the Ising model; the other concerns approximating the number of zeroes of random low-degree polynomials. We observe that both conjectures can be shown to be valid in the setting of worst-case complexity. We arrive at these conjectures by deriving spin-based generalizations of the boson sampling problem that avoid the so-called permanent anticoncentration conjecture. 2016 UK.
Brown, RBK, Beydoun, G, Low, G, Tibben, W, Zamani, R, Garcia-Sanchez, F & Martinez-Bejar, R 2016, 'Computationally efficient ontology selection in software requirement planning', INFORMATION SYSTEMS FRONTIERS, vol. 18, no. 2, pp. 349-358.
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Bui, HM, Lech, M, Cheng, E, Neville, K & Burnett, IS 2016, 'Object Recognition Using Deep Convolutional Features Transformed by a Recursive Network Structure', IEEE Access, vol. 4, pp. 10059-10066.
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© 2017 IEEE. Deep neural networks (DNNs) trained on large data sets have been shown to be able to capture high-quality features describing image data. Numerous studies have proposed various ways to transfer DNN structures trained on large data sets to perform classification tasks represented by relatively small data sets. Due to the limitations of these proposals, it is not well known how to effectively adapt the pre-trained model into the new task. Typically, the transfer process uses a combination of fine-tuning and training of adaptation layers; however, both tasks are susceptible to problems with data shortage and high computational complexity. This paper proposes an improvement to the well-known AlexNet feature extraction technique. The proposed approach applies a recursive neural network structure on features extracted by a deep convolutional neural network pre-trained on a large data set. Object recognition experiments conducted on the Washington RGBD image data set have shown that the proposed method has the advantages of structural simplicity combined with the ability to provide higher recognition accuracy at a low computational cost compared with other relevant methods. The new approach requires no training at the feature extraction phase, and can be performed very efficiently as the output features are compact and highly discriminative, and can be used with a simple classifier in object recognition settings.
Bui, XT, Vo, TPT, Ngo, HH, Guo, WS & Nguyen, TT 2016, 'Multicriteria assessment of advanced treatment technologies for micropollutants removal at large-scale applications', Science of The Total Environment, vol. 563-564, pp. 1050-1067.
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© 2016 Elsevier B.V. With the introduction and discharge of thousands of new micropollutants (MPs) every year, traditional water and wastewater treatment plants may be incapable of tackling them all. With their low concentrations and diversity in nature, MP removal encounters numerous challenges. Although some MPs are effectively eliminated via conventional treatment methods, most of them can easily escape and are retained in the discharged effluent. Therefore, advanced methods such as (i) adsorption, (ii) oxidation and advanced oxidation processes (O3 and O3-based advanced oxidation processes, UV/H2O2), (iii) membrane processes, and (iv) membrane bioreactors, become an inevitable approach. Despite the unsurprisingly vast number of papers on MP treatment available at present, most of these studies were carried out at a laboratory scale while only a few pilot- and full-scale studies have experimented. Nevertheless, an in-depth assessment of real-world MP treatment methods is extremely crucial for practitioners. To date, no paper has been dedicated to look at this issue. Therefore, this paper aims to review these large-scale treatment methods. First, the paper goes through the regulations and standards which deal with MPs in water courses. It will then assess these methods in various case-studies with reference to different criteria towards serving as a reference for further practical applications.
Burdon, S, Kang, K & Mooney, G 2016, 'Understanding The Key Attributes for a Successful Innovation Culture', International Journal of Enterprise Information Systems, vol. 12, no. 4, pp. 70-82.
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This paper presents the results and findings of a research project on innovation culture in Australian information technology sector organisations. The primary objective of this study was to establish the determinants of a successful enterprise innovation culture in organisations with a strong industry reputation for radical innovation initiatives. The authors obtained 244 responses from 102 member organisations of the Australian Information Industry Association (AIIA). The survey explored the internal and external characteristics of a successful innovative organisation. Both employees' and competitors' perspectives on “what makes a particular organisation a successful innovator” were the main focus. The authors' findings indicated that the absence of a successful innovation culture is a serious impediment to growth and success. However, preferences for the key innovation culture attributes varied significantly by executive functions, size of the organization and type of ownership structure. Thus, a mix of key innovation attributes should be deployed and tailored to each organisation, based on their industry and strategic objectives.
Burton, GJ, Pineda, JA, Sheng, D, Airey, DW & Zhang, F 2016, 'Exploring one-dimensional compression of compacted clay under constant degree of saturation paths', Géotechnique, vol. 66, no. 5, pp. 435-440.
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This note presents a novel approach for controlling the degree of saturation during one-dimensional compression of unsaturated soils. This technique offers a simple and versatile way to study the hydro-mechanical response of unsaturated soils as well as the unsaturated–saturated soil transition. By using a multi-stage approach, the same specimen can be used to evaluate the compressibility of unsaturated specimens at different degrees of saturation, which may reduce the long testing periods commonly required for unsaturated soil testing. The experimental results described in this paper show that the proposed technique is capable of controlling the degree of saturation within reasonable limits and provides an interesting approach to analyse the coupled hydraulic and mechanical behaviour of unsaturated soils.
Cao, L 2016, 'Data science and analytics: a new era', International Journal of Data Science and Analytics, vol. 1, no. 1, pp. 1-2.
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Cao, L, Dong, X & Zheng, Z 2016, 'e-NSP: Efficient negative sequential pattern mining', Artificial Intelligence, vol. 235, pp. 156-182.
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© 2016 The Authors. Published by Elsevier B.V. As an important tool for behavior informatics, negative sequential patterns (NSP) (such as missing medical treatments) are critical and sometimes much more informative than positive sequential patterns (PSP) (e.g. using a medical service) in many intelligent systems and applications such as intelligent transport systems, healthcare and risk management, as they often involve non-occurring but interesting behaviors. However, discovering NSP is much more difficult than identifying PSP due to the significant problem complexity caused by non-occurring elements, high computational cost and huge search space in calculating negative sequential candidates (NSC). So far, the problem has not been formalized well, and very few approaches have been proposed to mine for specific types of NSP, which rely on database re-scans after identifying PSP in order to calculate the NSC supports. This has been shown to be very inefficient or even impractical, since the NSC search space is usually huge. This paper proposes a very innovative and efficient theoretical framework: Set theory-based NSP mining (ST-NSP), and a corresponding algorithm, e-NSP, to efficiently identify NSP by involving only the identified PSP, without re-scanning the database. Accordingly, negative containment is first defined to determine whether a data sequence contains a negative sequence based on set theory. Second, an efficient approach is proposed to convert the negative containment problem to a positive containment problem. The NSC supports are then calculated based only on the corresponding PSP. This not only avoids the need for additional database scans, but also enables the use of existing PSP mining algorithms to mine for NSP. Finally, a simple but efficient strategy is proposed to generate NSC. Theoretical analyses show that e-NSP performs particularly well on datasets with a small number of elements in a sequence, a large number of itemsets and low...
Cao, Z, Lin, C-T, Chuang, C-H, Lai, K-L, Yang, AC, Fuh, J-L & Wang, S-J 2016, 'Resting-state EEG power and coherence vary between migraine phases', The Journal of Headache and Pain, vol. 17, no. 1.
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© 2016, The Author(s). Background: Migraine is characterized by a series of phases (inter-ictal, pre-ictal, ictal, and post-ictal). It is of great interest whether resting-state electroencephalography (EEG) is differentiable between these phases. Methods: We compared resting-state EEG energy intensity and effective connectivity in different migraine phases using EEG power and coherence analyses in patients with migraine without aura as compared with healthy controls (HCs). EEG power and isolated effective coherence of delta (1–3.5 Hz), theta (4–7.5 Hz), alpha (8–12.5 Hz), and beta (13–30 Hz) bands were calculated in the frontal, central, temporal, parietal, and occipital regions. Results: Fifty patients with episodic migraine (1–5 headache days/month) and 20 HCs completed the study. Patients were classified into inter-ictal, pre-ictal, ictal, and post-ictal phases (n = 22, 12, 8, 8, respectively), using 36-h criteria. Compared to HCs, inter-ictal and ictal patients, but not pre- or post-ictal patients, had lower EEG power and coherence, except for a higher effective connectivity in fronto-occipital network in inter-ictal patients (p <.05). Compared to data obtained from the inter-ictal group, EEG power and coherence were increased in the pre-ictal group, with the exception of a lower effective connectivity in fronto-occipital network (p <.05). Inter-ictal and ictal patients had decreased EEG power and coherence relative to HCs, which were “normalized” in the pre-ictal or post-ictal groups. Conclusion: Resting-state EEG power density and effective connectivity differ between migraine phases and provide an insight into the complex neurophysiology of migraine.
Carter, DR, Sutton, SK, Pajic, M, Murray, J, Sekyere, EO, Fletcher, J, Beckers, A, De Preter, K, Speleman, F, George, RE, Haber, M, Norris, MD, Cheung, BB & Marshall, GM 2016, 'Glutathione biosynthesis is upregulated at the initiation of MYCN‐driven neuroblastoma tumorigenesis', Molecular Oncology, vol. 10, no. 6, pp. 866-878.
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The MYCN gene is amplified and overexpressed in a large proportion of high stage neuroblastoma patients and has been identified as a key driver of tumorigenesis. However, the mechanism by which MYCN promotes tumor initiation is poorly understood. Here we conducted metabolic profiling of pre‐malignant sympathetic ganglia and tumors derived from the TH‐MYCN mouse model of neuroblastoma, compared to non‐malignant ganglia from wildtype littermates. We found that metabolites involved in the biosynthesis of glutathione, the most abundant cellular antioxidant, were the most significantly upregulated metabolic pathway at tumor initiation, and progressively increased to meet the demands of tumorigenesis. A corresponding increase in the expression of genes involved in ribosomal biogenesis suggested that MYCN‐driven transactivation of the protein biosynthetic machinery generated the necessary substrates to drive glutathione biosynthesis. Pre‐malignant sympathetic ganglia from TH‐MYCN mice had higher antioxidant capacity and required glutathione upregulation for cell survival, when compared to wildtype ganglia. Moreover, in vivo administration of inhibitors of glutathione biosynthesis significantly delayed tumorigenesis when administered prophylactically and potentiated the anticancer activity of cytotoxic chemotherapy against established tumors. Together these results identify enhanced glutathione biosynthesis as a selective metabolic adaptation required for initiation of MYCN‐driven neuroblastoma, and suggest that glutathione‐targeted agents may be used as a potential preventative strategy, or as an adjuvant to existing chemotherapies in established disease.
Casanovas, M, Torres-Martínez, A & Merigó, JM 2016, 'Decision Making in Reinsurance with Induced OWA Operators and Minkowski Distances', Cybernetics and Systems, vol. 47, no. 6, pp. 460-477.
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Castel, A & Turatsinze, A 2016, 'Discussion of the paper titled “Evaluation of the predictive ability of the in situ concrete strength through core drilling and its effects on the capacity of the RC columns by M. Vona and D. Nigro”', Materials and Structures, vol. 49, no. 4, pp. 1569-1571.
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Castel, A, Foster, SJ, Ng, T, Sanjayan, JG & Gilbert, RI 2016, 'Creep and drying shrinkage of a blended slag and low calcium fly ash geopolymer Concrete', Materials and Structures, vol. 49, no. 5, pp. 1619-1628.
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Abstract The main purpose of this research is to study the time dependent behaviour of a geopolymer concrete. The geopolymer binder is composed of 85.2 % of low calcium fly ash and only 14.8 % of ground granulated blast furnace slag. Both drying shrinkage and creep are studied. In addition, different curing conditions at elevated temperature were used. All experimental results were compared to predictions made using the Eurocode 2. The curing regime plays an important role in the magnitude and development of both creep and drying shrinkage of class F fly ash based geopolymer concrete. A minimum of 3 days at 40 °C or 1 day at 80 °C is required to obtain final drying shrinkage strains similar to or less than those adopted by Eurocode 2 for ordinary Portland cement (OPC) concrete. Creep strains were similar or less than those predicted by Eurocode 2 for OPC concrete when the geopolymer concrete was cured for 3 days at 40 °C. After 7 days at 80 °C, creep strains became negligible.
Castel, A, Khan, I, François, R & Gilbert, RI 2016, 'Modeling Steel Concrete Bond Strength Reduction Due to Corrosion', ACI Structural Journal, vol. 113, no. 5, pp. 973-982.
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Catchpoole, D 2016, '‘Biohoarding’: treasures not seen, stories not told', Journal of Health Services Research & Policy, vol. 21, no. 2, pp. 140-142.
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This article raises the concern that biobanks are failing to realize the expected research and health service outcomes. Rather than biobanking, we have been engaging in ‘biohoarding’, where building a quantifiable collection of tissue samples is the primary basis of the bio-resource. The root cause of ‘biohoarding’ is an ideological and motivational confusion as to the purpose for collecting the tissue in the first place. We have lost sight of the knowledge gain that biobanks should generate. The obligation to prevent ‘biohoarding’ lies not with researchers, funders or managers but with policy makers.
Cawley, A, Pasin, D, Ganbat, N, Ennis, L, Smart, C, Greer, C, Keledjian, J, Fu, S & Chen, A 2016, 'The potential for complementary targeted/non-targeted screening of novel psychoactive substances in equine urine using liquid chromatography-high resolution accurate mass spectrometry', Analytical Methods, vol. 8, no. 8, pp. 1789-1797.
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The use of LC-HRAM spectrometry to identify ‘unknown’ compounds by non-targeted screening provides a potential advantage for forensic toxicology.
Cecez-Kecmanovic, D & Marjanovic, O 2016, 'Ethical Implications of IT-enabled Information Flows Conceived as Intermediaries or Mediators.', CoRR, vol. abs/1606.03506.
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This paper contributes to a better understanding of ethical concerns regarding the deployment of complex public sector IT systems and the information flows they instigate. The paper aims to reveal how different views on IT and IT-enabled information flows allow us to see differently their social implications and to construe different ethical questions. This is achieved by i) defining two opposing views on IT-enabled information flows as ‘intermediaries’ and ‘mediators’; ii) by analysing the controversial case of My School – a web portal that provides performance data of 9,500 Australian schools – that introduces new information flows in the education sector; and iii) by revealing and explaining how some unintended negative social implications emerge and how the articulation of ethical concerns depends on the view on My School-enabled information flows. The paper concludes with theoretical and practical implications, with particular emphasis on responsibilities of all involved, setting up foundations for an important area of future IS research.
Cetindamar, D, Phaal, R & Probert, DR 2016, 'Technology management as a profession and the challenges ahead', Journal of Engineering and Technology Management, vol. 41, pp. 1-13.
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Chakraborty, S, Mengersen, K, Fidge, C, Ma, L & Lassen, D 2016, 'A Bayesian Network-based customer satisfaction model: a tool for management decisions in railway transport', Decision Analytics, vol. 3, no. 1.
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Chakraborty, S, Milner, LE, Zhu, X, Hall, LT, Sevimli, O & Heimlich, MC 2016, 'A $K$ -Band Frequency Doubler With 35-dB Fundamental Rejection Based on Novel Transformer Balun in 0.13- $\mu \text{m}$ SiGe Technology', IEEE Electron Device Letters, vol. 37, no. 11, pp. 1375-1378.
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© 2016 IEEE. A compact balanced frequency doubler with more than 35 dB odd-harmonic rejection and fractional bandwidth of 73% is presented in this letter. Wide bandwidth and high odd-harmonic suppression is achieved by adopting a new technique for the transformer balun design, resulting in a very low magnitude imbalance of 0.13 dB and a phase imbalance of 0.4° over 7-15 GHz. The balun performance is improved by offsetting the radius of the primary and secondary coils, which reduces the parasitic coupling capacitance. The input and output frequency ranges for the doubler are 7-15 GHz and 14-30 GHz respectively. The circuit was fabricated in 0.13-μm SiGe technology. The chip size is 0.6 mm ×, 0.4 mm.
Chakraborty, S, Yang, Y, Zhu, X, Sevimli, O, Xue, Q, Esselle, K & Heimlich, M 2016, 'A Broadside-Coupled Meander-Line Resonator in 0.13-$\mu \text{m}$ SiGe Technology for Millimeter-Wave Application', IEEE Electron Device Letters, vol. 37, no. 3, pp. 329-332.
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© 2016 IEEE. An on-chip resonator is designed and fabricated using a standard 0.13- μ m SiGe technology for millimeter-wave applications. The designed resonator is based on a unique structure, which consists of two broadside-coupled meander lines with opposite orientation. The equivalent LC circuit of the resonator is given, while the impact of the structure on the resonance frequencies is investigated. Using this structure along with capacitors, a compact bandpass filter (BPF) is also designed and fabricated. The measured results show that the resonator can generate a resonance at 57 GHz with the attenuation better than 13.7 dB, while the BPF has a center frequency at 31 GHz and a insertion loss of 2.4 dB. The chip size of both the resonator and the BPF, excluding the pads, is only 0.024 mm2 ( 0.09× 0.27 mm2.
Chan, B, Guan, H, Hou, L, Jo, J, Blumenstein, M & Wang, J 2016, 'Defining a conceptual framework for the integration of modelling and advanced imaging for improving the reliability and efficiency of bridge assessments', Journal of Civil Structural Health Monitoring, vol. 6, no. 4, pp. 703-714.
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© 2016, Springer-Verlag Berlin Heidelberg. Current bridge inspection practices are typically predicated upon manual paper-based data collection methods, which significantly limit the ability to transfer knowledge gained throughout the lifecycle of the asset, to benefit the assessment of the inspector or engineer. This study aims to overcome the limitations of current practices and proposes a conceptual framework to improve the reliability and efficiency of current bridge asset management practices through the integration of Building Information Modeling (BIM) and advanced computing and imaging technologies. As a tool for bridge inspections, BIM offers significant potential when integrated with laser scanning and keypoint-based texture recognition, which allows for the detection of such defects as cracking, corrosion or settlement in bridge components. In recent years, the construction industry has seen an increased use of BIM technology on-site to aid the construction process. However, the applications of it are deficient through the asset management phases of a project. Given the ability of BIM to house all component specific information gathered from the construction, inspection and maintenance phases, BIM is envisioned to allow emphasis to be placed on retrieving the relevant information throughout the project lifecycle, ultimately enabling engineers and bridge inspectors to make more informed decisions about the current condition of the structure. Using BIM as the focal point for information collection throughout the project lifecycle, findings from advanced imaging and data processing are proposed to be stored within the model for recall at future bridge assessments.
Chan, KY & Ling, SH 2016, 'A forward selection based fuzzy regression for new product development that correlates engineering characteristics with consumer preferences', JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, vol. 30, no. 3, pp. 1869-1880.
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© 2016 - IOS Press and the authors. All rights reserved. Fuzzy regression models have commonly been used to correlate engineering characteristics with consumer preferences regarding a new product. Based on the models, product developers can determine optimal engineering characteristics of the new product in order to satisfy consumer preferences. However, they have a common limitation in that they cannot guarantee to include significant regressors with significant engineering characteristics or significant nonlinear terms. The generalization capability of the model can be reduced, when too few significant regressors are included and too many insignificant regressors are included. In this paper, a forward selection based fuzzy regression (FS-FR) is proposed based on the statistical forward selection to determine significant regressors. After the significant regressors are determined, the fuzzy regression is used to generate the fuzzy coefficients which address the uncertainties due to fuzziness and randomness caused by consumer preference evaluations. The developed model includes only significant regressors which attempt to improve the generalization capability. A case study of a tea maker design demonstrated that the FS-FR was able to generate consumer preference models with better generalization capabilities than the other tested fuzzy regressions. Also simpler consumer preference models can be provided for the new product development.
Chandrakanthan, V, Yeola, A, Kwan, JC, Oliver, RA, Qiao, Q, Kang, YC, Zarzour, P, Beck, D, Boelen, L, Unnikrishnan, A, Villanueva, JE, Nunez, AC, Knezevic, K, Palu, C, Nasrallah, R, Carnell, M, Macmillan, A, Whan, R, Yu, Y, Hardy, P, Grey, ST, Gladbach, A, Delerue, F, Ittner, L, Mobbs, R, Walkley, CR, Purton, LE, Ward, RL, Wong, JWH, Hesson, LB, Walsh, W & Pimanda, JE 2016, 'PDGF-AB and 5-Azacytidine induce conversion of somatic cells into tissue-regenerative multipotent stem cells', PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, vol. 113, no. 16, pp. E2306-E2315.
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Chapman, RJ, Ferrie, C & Peruzzo, A 2016, 'Experimental Demonstration of Self-Guided Quantum Tomography', Physical Review Letters, vol. 117, no. 4.
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Chaturvedi, I, Ong, Y-S, Tsang, IW, Welsch, RE & Cambria, E 2016, 'Learning word dependencies in text by means of a deep recurrent belief network', Knowledge-Based Systems, vol. 108, pp. 144-154.
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We propose a deep recurrent belief network with distributed time delays for learning multivariate Gaussians. Learning long time delays in deep belief networks is difficult due to the problem of vanishing or exploding gradients with increase in delay. To mitigate this problem and improve the transparency of learning time-delays, we introduce the use of Gaussian networks with time-delays to initialize the weights of each hidden neuron. From our knowledge of time delays, it is possible to learn the long delays from short delays in a hierarchical manner. In contrast to previous works, here dynamic Gaussian Bayesian networks over training samples are evolved using Markov Chain Monte Carlo to determine the initial weights of each hidden layer of neurons. In this way, the time-delayed network motifs of increasing Markov order across layers can be modeled hierarchically using a deep model. To validate the proposed Variable-order Belief Network (VBN) framework, it is applied for modeling word dependencies in text. To explore the generality of VBN, it is further considered for a real-world scenario where the dynamic movements of basketball players are modeled. Experimental results obtained showed that the proposed VBN could achieve over 30% improvement in accuracy on real-world scenarios compared to the state-of-the-art baseline
Chaudhuri, PK, Ebrahimi Warkiani, M, Jing, T, Kenry, K & Lim, CT 2016, 'Microfluidics for research and applications in oncology', The Analyst, vol. 141, no. 2, pp. 504-524.
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Cancer is currently one of the top non-communicable human diseases, and continual research and developmental efforts, particularly in microfluidics technology, are being made to better understand and manage this disease.
Chaves, IA, Melchers, RE, Peng, L & Stewart, MG 2016, 'Probabilistic remaining life estimation for deteriorating steel marine infrastructure under global warming and nutrient pollution', Ocean Engineering, vol. 126, pp. 129-137.
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The longer-term serviceability and structural safety of steel infrastructure exposed to seawater conditions may be affected by global warming and by seawater nutrient pollution. These may affect abiotic and biotic (microbial) corrosion. A model for long-term corrosion is developed from data obtained from steel piling exposed for 33 years in a seawater harbour. The effects on corrosion losses on the structural reliability of steel sheet piling as used in harbours world-wide were investigated as a function of seawater temperature rise from global warming and of seawater nutrient pollution. The results show that structural reliability is more sensitive to likely nutrient pollution than to predicted increases in seawater temperature, noting also that global warming also could increase nutrient pollution from anthropological sources.
Chekli, L, Bayatsarmadi, B, Sekine, R, Sarkar, B, Shen, AM, Scheckel, KG, Skinner, W, Naidu, R, Shon, HK, Lombi, E & Donner, E 2016, 'Analytical characterisation of nanoscale zero-valent iron: A methodological review', ANALYTICA CHIMICA ACTA, vol. 903, pp. 13-35.
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© 2015 Elsevier B.V. Zero-valent iron nanoparticles (nZVI) have been widely tested as they are showing significant promise for environmental remediation. However, many recent studies have demonstrated that their mobility and reactivity in subsurface environments are significantly affected by their tendency to aggregate. Both the mobility and reactivity of nZVI mainly depends on properties such as particle size, surface chemistry and bulk composition. In order to ensure efficient remediation, it is crucial to accurately assess and understand the implications of these properties before deploying these materials into contaminated environments. Many analytical techniques are now available to determine these parameters and this paper provides a critical review of their usefulness and limitations for nZVI characterisation. These analytical techniques include microscopy and light scattering techniques for the determination of particle size, size distribution and aggregation state, and X-ray techniques for the characterisation of surface chemistry and bulk composition. Example characterisation data derived from commercial nZVI materials is used to further illustrate method strengths and limitations. Finally, some important challenges with respect to the characterisation of nZVI in groundwater samples are discussed.
Chekli, L, Phuntsho, S, Kim, JE, Kim, J, Choi, JY, Choi, J-S, Kim, S, Kim, JH, Hong, S, Sohn, J & Shon, HK 2016, 'A comprehensive review of hybrid forward osmosis systems: Performance, applications and future prospects', JOURNAL OF MEMBRANE SCIENCE, vol. 497, no. 1, pp. 430-449.
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Forward osmosis (FO) has been increasingly studied in the past decade for its potential as an emerging low-energy water and wastewater treatment process. However, the term “low-energy” may only be suitable for those applications in where no further treatment of the draw solution (DS) is required either in the form of pretreatment or post-treatment to the FO process (e.g. where the diluted DS is the targeted final product which can be used directly or simply discarded). In most applications, FO has to be coupled with another separation process in a so-called hybrid FO system to either separate the DS from the final product water or to be used as an advanced pre-treatment process to conventional desalination technologies. The additional process increases the capital cost as well as the energy demand of the overall system which is one of the several challenges that hybrid FO systems need to overcome to compete with other separation technologies. Yet, there are some applications where hybrid FO systems can outperform conventional processes and this study aims to provide a comprehensive review on the current state of hybrid FO systems. The recent development and performance of hybrid FO systems in different applications have been reported. This review also highlights the future research directions for the current hybrid FO systems to achieve successful implementation.
Chen, C, Guo, W & Ngo, HH 2016, 'Advances in Granular Growth Anaerobic Membrane Bioreactor (G-AnMBR) for Low Strength Wastewater Treatment', Journal of Energy and Environmental Sustainability, vol. 1, pp. 77-83.
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Chen, C, Guo, W, Ngo, HH, Lee, D-J, Tung, K-L, Jin, P, Wang, J & Wu, Y 2016, 'Challenges in biogas production from anaerobic membrane bioreactors', Renewable Energy, vol. 98, pp. 120-134.
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© 2016 Spectacular applications of anaerobic membrane bioreactors (AnMBRs) are emerging due to the membrane enhanced biogas production in the form of renewable bioresources. They produce similar energy derived from the world's depleting natural fossil energy sources while minimizing greenhouse gas (GHG) emissions. During the last decade, many types of AnMBRs have been developed and applied so as to make biogas technology practical and economically viable. Referring to both conventional and advanced configurations, this review presents a comprehensive summary of AnMBRs for biogas production in recent years. The potential of biogas production from AnMBRs cannot be fully exploited, since certain constraints still remain and these cause low methane yield. This paper addresses a detailed assessment on the potential challenges that AnMBRs are encountering, with a major focus on many inhibitory substances and operational dilemmas. The aim is to provide a solid platform for advances in novel AnMBRs applications for optimized biogas production.
Chen, F, Sun, J, Wang, Y, Khawaja, MA, Li, Z & Zhou, J 2016, 'Making machine learning useable by revealing internal states update - a transparent approach', International Journal of Computational Science and Engineering, vol. 13, no. 4, pp. 378-378.
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Chen, G, Deng, Y, He, X, Wang, Y & Zhang, J 2016, 'Zero‐voltage‐switching buck converter with low‐voltage stress using coupled inductor', IET Power Electronics, vol. 9, no. 4, pp. 719-727.
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Chen, G, Wang, Z, Li, X-M, Song, J, Zhao, B, Phuntsho, S, Shon, HK & He, T 2016, 'Concentrating underground brine by FO process: Influence of membrane types and spacer on membrane scaling', Chemical Engineering Journal, vol. 285, pp. 92-100.
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© 2015 Elsevier B.V. Forward osmosis (FO) is a low energy process when recovery of the draw solutes is not necessary. This study focused on the performance of the FO process for concentrating underground brine (UGB) with saturated sodium chloride as draw solution (DS) using two membranes: commercialized flat sheet cellulose triacetate (CTA) membrane and tailor-made thin film composite (TFC) FO membrane. Energy dispersive X-ray spectroscopy (EDS) and powder X-ray diffractometry (XRD) analysis indicate that, majority of the scaling components were calcium sulfate and sodium chloride crystals formed both through surface and bulk crystallization. The spacer in the FO test cell also promoted scaling. Without spacer, a sharp flux decline of TFC membrane occurred at a higher concentration factor while no sharp flux drop was observed for CTA membrane. It was hypothesized that the rough TFC membrane surface may initiate nucleation and aggregation of the crystals in the active surface, and eventually resulting in scaling.
Chen, H, Liu, Y, Ni, B-J, Wang, Q, Wang, D, Zhang, C, Li, X & Zeng, G 2016, 'Full-scale evaluation of aerobic/extended-idle regime inducing biological phosphorus removal and its integration with intermittent sand filter to treat domestic sewage discharged from highway rest area', Biochemical Engineering Journal, vol. 113, pp. 114-122.
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Biological phosphorus removal (BPR) has been demonstrated to be successfully achieved in the aerobic/extended-idle (AEI) wastewater treatment regime in previous bench-scale studies. To date, however, its feasibility has never been evaluated by any full-scale investigation. Here we report a first full-scale (180 m3/day) evaluation of the AEI process and its integration with intermittent sand filter to treat highway rest area sewage that is often neglected but actually brings significant impacts on receiving water bodies in China. The results showed that 70-99% of influent phosphate was removed in the AEI zone, although the sewage contained 23-37% of carbohydrate that is usually considered to be detrimental for BPR. Batch experimental investigation revealed that the presence of glucose (model compound of carbohydrate) promoted the AEI-inducing BPR efficiency, as opposed to deteriorating the conventional anaerobic/oxic regime-inducing BPR performance. Although the performance of AEI zone was affected by seasonal variation, the efficiencies of contaminant removal were stable and excellent (total nitrogen > 86%, others > 92%) in the integrated system. This study offers an attractive option for BPR from carbohydrate-rich wastewaters and also provides a prototype for wastewater treatment in remote areas.
Chen, J, Guo, C, Ji, Z, Poon, Y-T, Yu, N, Zeng, B & Zhou, J 2016, 'Joint product numerical range and geometry of reduced density matrices', Sci. China Phys. Mech. Astron., vol. 60, no. 2, p. 020312.
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The reduced density matrices of a many-body quantum system form a convex set,whose three-dimensional projection $\Theta$ is convex in $\mathbb{R}^3$. Theboundary $\partial\Theta$ of $\Theta$ may exhibit nontrivial geometry, inparticular ruled surfaces. Two physical mechanisms are known for the origins ofruled surfaces: symmetry breaking and gapless. In this work, we study theemergence of ruled surfaces for systems with local Hamiltonians in infinitespatial dimension, where the reduced density matrices are known to be separableas a consequence of the quantum de Finetti's theorem. This allows us toidentify the reduced density matrix geometry with joint product numerical range$\Pi$ of the Hamiltonian interaction terms. We focus on the case where theinteraction terms have certain structures, such that ruled surface emergenaturally when taking a convex hull of $\Pi$. We show that, a ruled surface on$\partial\Theta$ sitting in $\Pi$ has a gapless origin, otherwise it has asymmetry breaking origin. As an example, we demonstrate that a famous ruledsurface, known as the oloid, is a possible shape of $\Theta$, with two boundarypieces of symmetry breaking origin separated by two gapless lines.
Chen, J-Y, Ji, Z, Liu, Z-X, Qi, X, Yu, N, Zeng, B & Zhou, D 2016, 'Physical origins of ruled surfaces on the reduced density matrices geometry', Sci. China Phys. Mech. Astron. (2017) 60: 020311, vol. 60, no. 2.
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The reduced density matrices (RDMs) of many-body quantum states form a convexset. The boundary of low dimensional projections of this convex set may exhibitnontrivial geometry such as ruled surfaces. In this paper, we study thephysical origins of these ruled surfaces for bosonic systems. The emergence ofruled surfaces was recently proposed as signatures of symmetry-breaking phase.We show that, apart from being signatures of symmetry-breaking, ruled surfacescan also be the consequence of gapless quantum systems by demonstrating anexplicit example in terms of a two-mode Ising model. Our analysis was largelysimplified by the quantum de Finetti's theorem---in the limit of large systemsize, these RDMs are the convex set of all the symmetric separable states. Todistinguish ruled surfaces originated from gapless systems from those caused bysymmetry-breaking, we propose to use the finite size scaling method for thecorresponding geometry. This method is then applied to the two-mode XY model,successfully identifying a ruled surface as the consequence of gapless systems.
Chen, J-Y, Ji, Z, Yu, N & Zeng, B 2016, 'Dichotomy of entanglement depth for symmetric states', Phys. Rev. A, vol. 94, no. 4, p. 042333.
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Entanglement depth characterizes the minimal number of particles in a systemthat are mutually entangled. For symmetric states, we show that there is adichotomy for entanglement depth: an $N$-particle symmetric state is eitherfully separable, or fully entangled---the entanglement depth is either $1$ or$N$. This property is even stable under non-symmetric noise. We propose anexperimentally accessible method to detect entanglement depth in atomicensembles based on a bound on the particle number population of Dicke states,and demonstrate that the entanglement depth of some Dicke states, for examplethe twin Fock state, is very stable even under a large arbitrary noise. Ourobservation can be applied to atomic Bose-Einstein condensates to infer thatthese systems can be highly entangled with the entanglement depth that is ofthe order of the system size (i.e. several thousands of atoms).
Chen, L, Li, X, Yang, Y, Kurniawati, H, Sheng, QZ, Hu, H-Y & Huang, N 2016, 'Personal health indexing based on medical examinations: A data mining approach', Decision Support Systems, vol. 81, pp. 54-65.
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© 2015 Elsevier B.V. All rights reserved. We design a method called MyPHI that predicts personal health index (PHI), a new evidence-based health indicator to explore the underlying patterns of a large collection of geriatric medical examination (GME) records using data mining techniques. We define PHI as a vector of scores, each reflecting the health risk in a particular disease category. The PHI prediction is formulated as an optimization problem that finds the optimal soft labels as health scores based on medical records that are infrequent, incomplete, and sparse. Our method is compared with classification models commonly used in medical applications. The experimental evaluation has demonstrated the effectiveness of our method based on a real-world GME data set collected from 102,258 participants.
Chen, P, Hu, S, Zhang, J, Gao, X, Li, J, Xia, J & Wang, B 2016, 'A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction', IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 13, no. 5, pp. 901-912.
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Chen, Q, Indraratna, B & Rujikiatkamjorn, C 2016, 'Behaviour of lignosulfonate-treated soil under cyclic loading', Proceedings of the Institution of Civil Engineers - Ground Improvement, vol. 169, no. 2, pp. 109-119.
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In this paper, the effectiveness of an environmentally-friendly stabilising agent for soil, lignosulfonate (LS), is examined through a series of cyclic triaxial tests. The deformation characteristics of the contents of LS-treated sandy silt when subjected to undrained cyclic triaxial loading are investigated at different confining pressures and cyclic stress levels. Test results indicate that under a given confining pressure and cyclic deviator stress, the rate of increase in axial strain is controlled by the addition of LS, which results in a smaller value of plastic axial strain (εa,p). For all the untreated and LS-treated specimens, the rate of increase in εa,p increases with the increasing cyclic stress ratio (CSR). A critical value of CSR exists for a given LS content (i.e. CSRCR), below which the specimens could remain stable irrespective of the number of load cycles. The longevity of treated specimens is improved significantly, especially for the specimens with LS = 2% by weight. As the treated specimens are subjected to a high level of cyclic stress, the excess pore pressure shows a decreasing trend with the increasing number of cycles, but then increases again rapidly when the failure becomes imminent. Compared with the untreated soil, the resilient modulus increases significantly as a result of LS treatment, especially for LS = 2%. When the LS > 2%, there is no additional advantage, implying that 2% LS treatment is an optimum for this soil.
Chen, Q, Indraratna, B & Rujikiatkamjorn, C 2016, 'Behaviour of lignosulfonate-treated soil under cyclic loading', Proceedings of the Institution of Civil Engineers - Ground Improvement, vol. 169, no. 2, pp. 109-119.
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In this paper, the effectiveness of an environmentally-friendly stabilising agent for soil, lignosulfonate (LS), is examined through a series of cyclic triaxial tests. The deformation characteristics of the contents of LS-treated sandy silt when subjected to undrained cyclic triaxial loading are investigated at different confining pressures and cyclic stress levels. Test results indicate that under a given confining pressure and cyclic deviator stress, the rate of increase in axial strain is controlled by the addition of LS, which results in a smaller value of plastic axial strain (εa,p). For all the untreated and LS-treated specimens, the rate of increase in εa,pincreases with the increasing cyclic stress ratio (CSR). A critical value of CSR exists for a given LS content (i.e. CSRCR), below which the specimens could remain stable irrespective of the number of load cycles. The longevity of treated specimens is improved significantly, especially for the specimens with LS = 2% by weight. As the treated specimens are subjected to a high level of cyclic stress, the excess pore pressure shows a decreasing trend with the increasing number of cycles, but then increases again rapidly when the failure becomes imminent. Compared with the untreated soil, the resilient modulus increases significantly as a result of LS treatment, especially for LS = 2%. When the LS > 2%, there is no additional advantage, implying that 2% LS treatment is an optimum for this soil.
Chen, Q, Indraratna, B, Carter, JP & Nimbalkar, S 2016, 'Isotropic–kinematic hardening model for coarse granular soils capturing particle breakage and cyclic loading under triaxial stress space', Canadian Geotechnical Journal, vol. 53, no. 4, pp. 646-658.
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In this paper, a simple but comprehensive cyclic stress–strain model that incorporates particle breakage for granular soils including ballast and rockfill has been proposed on the basis of bounding surface plasticity theory within a critical state framework. Particle breakage and its effects are captured by a critical state line that is translated in voids ratio–stress space according to the dissipated energy (plastic work), through a hyperbolic function. A comprehensive equation related to particle breakage is proposed for the stress–dilatancy relationship to capture the complex dilatancy of granular soils. By extending Masing’s rule to bounding surface plasticity theory and introducing a generalized homological centre, a combined isotropic–kinematic hardening rule and a mapping rule have been established to simulate more realistically the response of gravelly soils under cyclic loading. The applicability and accuracy of this model are demonstrated by comparing its predictions with experimental results for different types of granular soils, including rockfill, under both monotonic and cyclic loading conditions. This study shows that the model can capture the characteristic features of coarse granular soils under complex loading paths.
Chen, S, Yuan, X, Wang, Z, Guo, C, Liang, J, Wang, Z, Zhang, X & Zhang, J 2016, 'Interactive Visual Discovering of Movement Patterns from Sparsely Sampled Geo-tagged Social Media Data', IEEE Transactions on Visualization and Computer Graphics, vol. 22, no. 1, pp. 270-279.
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© 1995-2012 IEEE. Social media data with geotags can be used to track people's movements in their daily lives. By providing both rich text and movement information, visual analysis on social media data can be both interesting and challenging. In contrast to traditional movement data, the sparseness and irregularity of social media data increase the difficulty of extracting movement patterns. To facilitate the understanding of people's movements, we present an interactive visual analytics system to support the exploration of sparsely sampled trajectory data from social media. We propose a heuristic model to reduce the uncertainty caused by the nature of social media data. In the proposed system, users can filter and select reliable data from each derived movement category, based on the guidance of uncertainty model and interactive selection tools. By iteratively analyzing filtered movements, users can explore the semantics of movements, including the transportation methods, frequent visiting sequences and keyword descriptions. We provide two cases to demonstrate how our system can help users to explore the movement patterns.
Chen, W, Wu, G, He, T, Li, Z, Guo, Z, Liu, H, Huang, Z & Chen, P 2016, 'An improved synthesis of unsolvated NaB 3 H 8 and its application in preparing Na 2 B 12 H 12', International Journal of Hydrogen Energy, vol. 41, no. 34, pp. 15471-15476.
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Octahydrotriborates are potential hydrogen storage materials and chemical vapor deposition precursors to boride films. Their syntheses have been quite challenging, however. In this paper, an improved facile route for the preparation of unsolvated sodium octahydrotriborate (NaB3H8), which is an important precursor to other octahydrotriborates and derivatives, is reported. The key steps in the synthesis involve dispersing Na finely in inert media and preparing fresh tetrahydrofuran (THF)·BH3at room temperature. High purity unsolvated NaB3H8can be obtained in tens of grams or more in one batch, depending on the reactor size. Using NaB3H8as the precursor, sodium dodecaborate (Na2B12H12) has been successfully synthesized. Both octahydrotriborates and dodecaborates have been observed as intermediates during the thermal dehydrogenation of borohydrides, and their facile syntheses would facilitate mechanistic studies on the hydrogen storage of borohydrides, among other potential applications.
Chen, W, Yu, H, Wu, G, He, T, Li, Z, Guo, Z, Liu, H, Huang, Z & Chen, P 2016, 'Ammonium Aminodiboranate: A Long‐Sought Isomer of Diammoniate of Diborane and Ammonia Borane Dimer', Chemistry – A European Journal, vol. 22, no. 23, pp. 7727-7729.
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AbstractAmmonium aminodiboranate ([NH4][BH3NH2BH3]) is a long‐sought isomer of diammoniate of diborane ([NH3BH2NH3][BH4]) and ammonia borane (NH3BH3) dimer. Our results show that [NH4][BH3NH2BH3] is stable in tetrahydrofuran at −18 °C and decomposes rapidly to NH3BH2NH2BH3 and H2 at elevated temperatures. The decomposition pathway is dictated by the dihydrogen bonding between Hδ+ on NH4+ and Hδ− on BH3, as confirmed by theoretical calculations. This is in contrast to the interconversion between [NH3BH2NH3][BH4] and (NH3BH3)2, although all three have dihydrogen bonds and the same stoichiometry.
Chen, X & Ni, B-J 2016, 'Anaerobic conversion of hydrogen and carbon dioxide to fatty acids production in a membrane biofilm reactor: A modeling approach', Chemical Engineering Journal, vol. 306, pp. 1092-1098.
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Biological conversion of gaseous compounds (e.g., H2/CO2) into valuable liquid fuels or chemicals using mixed culture is a promising technology, which could be effectively and efficiently implemented in a membrane biofilm reactor (MBfR) with gas being supplied from inside of membranes. In this study, a model integrating multiple production pathways of fatty acids (including acetate, butyrate, and caproate) was developed and tested using reported mixed culture experimental data from a lab-scale MBfR fed with 60% H2 and 40% CO2. The uncertainty of the four estimated model parameters was explored by a sensitivity analysis. With the developed model, the impacts of key process parameters (i.e., gas supply and hydraulic retention time (HRT)) on the performance of the MBfR converting H2/CO2 to fatty acids were then investigated. The results show that a high HRT is imperative for chain elongation to produce a higher proportion of caproate with a higher added value. A proper gas supply should be provided to favour the speciation of biological gas conversion products as well as to fully exploit the conversion capacity of the MBfR. The findings of this work provide useful information for a better understanding and further applications of this MBfR technology for mixed culture syngas fermentation.
Chen, X & Ni, B-J 2016, 'Model-based evaluation on simultaneous nitrate and arsenite removal in a membrane biofilm reactor', Chemical Engineering Science, vol. 152, pp. 488-496.
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Nitrate (NO3-) and arsenite (As(III)) are two major contaminants in groundwater, which could cause significant risks to human wellbeing and ecological system. In this work, a single-stage membrane biofilm reactor (MBfR) coupling denitrifying anaerobic methane (CH4) oxidation (DAMO) and autotrophic As(III) oxidation processes was proposed for the first time to achieve the in-situ or ex-situ simultaneous removal of NO3- and As(III) from groundwater. CH4 is supplied to the MBfR through gas-permeable membranes while NO3- and As(III) are provided in the bulk liquid. A mathematical model was developed by integrating the well-established biokinetics of DAMO microorganisms with the kinetics of As(III)-oxidizing bacteria (AsOB). The key parameter values of AsOB were specifically estimated using the batch experimental data of an enriched pure AsOB culture in conjunction with thermodynamic state calculations. The maximum specific growth rate of AsOB (μAsOB) and the yield coefficient for AsOB (YAsOB) were determined to be 0.00161 h-1 and 0.016 g COD g-1 As, respectively. The modeling results demonstrated that both influent surface loading (or hydraulic retention time (HRT)) and CH4 surface loading played important roles in controlling the steady-state microbial community structure and thus significantly affected the system performance. The As(III)/NO3- ratio between 0.1 and 2 g As g-1 NO3--N in the influent would have no significant impact on the overall system performance despite the varying microbial composition in the biofilm. Through properly adjusting the influent surface loading (or HRT) and CH4 surface loading whilst maintaining a sufficient biofilm thickness at a suitable influent As(III)/NO3- ratio, the maximum removal efficiencies of total nitrogen and As(III) could both reach above 95.0%, accompanied by a high CH4 utilization efficiency of up to 99.0%.
Chen, X, Guo, J, Xie, G, Yuan, Z & Ni, B 2016, 'Achieving complete nitrogen removal by coupling nitritation‐anammox and methane‐dependent denitrification: A model‐based study', Biotechnology and Bioengineering, vol. 113, no. 5, pp. 1035-1045.
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ABSTRACTThe discovery of denitrifying anaerobic methane oxidation (DAMO) processes enables the complete nitrogen removal from wastewater by utilizing the methane produced on site from anaerobic digesters. This model‐based study investigated the mechanisms and operational window for efficient nitrogen removal by coupling nitritation‐anaerobic ammonium oxidation (Anammox) and methane‐dependent denitrification in membrane biofilm reactors (MBfRs). A mathematical model was applied to describe the microbial interactions among Anammox bacteria, DAMO archaea, and DAMO bacteria. The model sufficiently described the batch experimental data from an MBfR containing an Anammox‐DAMO biofilm with different feeding nitrogen compositions, which confirmed the validity of the model. The effects of process parameters on the system performance and microbial community structure could therefore be reliably evaluated. The impacts of nitritation produced NO2−/NH4+ ratio, methane supply, biofilm thickness and total nitrogen (TN) surface loading were comprehensively investigated with the model. Results showed that the optimum NO2−/NH4+ ratio produced from nitritation for the Anammox‐DAMO biofilm system was around 1.0 in order to achieve the maximum TN removal (over 99.0%), independent on TN surface loading. The corresponding optimal methane supply increased while the associated methane utilization efficiency decreased with the increase of TN surface loading. The cooperation between DAMO organisms and Anammox bacteria played the key role in the TN removal. Based on these results, the proof‐of‐concept feasibility of a single‐stage MBfR coupling nitritation‐Anammox‐DAMO for complete nitrogen removal was also tested through integrating the model with ammonia‐oxi...
Chen, X, Li, J, Li, Y & Gu, X 2016, 'Lyapunov-based Semi-active Control of Adaptive Base Isolation System employing Magnetorheological Elastomer base isolators', Earthquakes and Structures, vol. 11, no. 6, pp. 1077-1099.
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© 2016 Techno-Press, Ltd. One of the main shortcomings in the current passive base isolation system is lack of adaptability. The recent research and development of a novel adaptive seismic isolator based on magnetorheological elastomer (MRE) material has created an opportunity to add adaptability to base isolation systems for civil structures. The new MRE based base isolator is able to significantly alter its shear modulus or lateral stiffness with the applied magnetic field or electric current, which makes it a competitive candidate to develop an adaptive base isolation system. This paper aims at exploring suitable control algorithms for such adaptive base isolation system by developing a close-loop semi-active control system for a building structure equipped with MRE base isolators. The MRE base isolator is simulated by a numerical model derived from experimental characterization based on the Bouc-Wen Model, which is able to describe the forcedisplacement response of the device accurately. The parameters of Bouc-Wen Model such as the stiffness and the damping coefficients are described as functions of the applied current. The state-space model is built by analyzing the dynamic property of the structure embedded with MRE base isolators. A Lyapunov-based controller is designed to adaptively vary the current applied to MRE base isolator to suppress the quakeinduced vibrations. The proposed control method is applied to a widely used benchmark base-isolated structure by numerical simulation. The performance of the adaptive base isolation system was evaluated through comparison with optimal passive base isolation system and a passive base isolation system with optimized base shear. It is concluded that the adaptive base isolation system with proposed Lyapunov-based semi-active control surpasses the performance of other two passive systems in protecting the civil structures under seismic events.
Chen, X, Liu, Y, Peng, L, Yuan, Z & Ni, B-J 2016, 'Model-Based Feasibility Assessment of Membrane Biofilm Reactor to Achieve Simultaneous Ammonium, Dissolved Methane, and Sulfide Removal from Anaerobic Digestion Liquor', Scientific Reports, vol. 6, no. 1.
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AbstractIn this study, the membrane biofilm reactor (MBfR) is proposed to achieve simultaneous removal of ammonium, dissolved methane, and sulfide from main-stream and side-stream anaerobic digestion liquors. To avoid dissolved methane stripping, oxygen is introduced through gas-permeable membranes, which also from the substratum for the growth of a biofilm likely comprising ammonium oxidizing bacteria (AOB), anaerobic ammonium oxidation (Anammox) bacteria, denitrifying anaerobic methane oxidation (DAMO) microorganisms, aerobic methane oxidizing bacteria (MOB), and sulfur oxidizing bacteria (SOB). A mathematical model is developed and applied to assess the feasibility of such a system and the associated microbial community structure under different operational conditions. The simulation studies demonstrate the feasibility of achieving high-level (>97.0%), simultaneous removal of ammonium, dissolved methane, and sulfide in the MBfRs from both main-stream and side-stream anaerobic digestion liquors through adjusting the influent surface loading (or hydraulic retention time (HRT)) and the oxygen surface loading. The optimal HRT was found to be inversely proportional to the corresponding oxygen surface loading. Under the optimal operational conditions, AOB, DAMO bacteria, MOB, and SOB dominate the biofilm of the main-stream MBfR, while AOB, Anammox bacteria, DAMO bacteria, and SOB coexist in the side-stream MBfR to remove ammonium, dissolved methane, and sulfide simultaneously.
Chen, X, Ni, W, Wang, X & Sun, Y 2016, 'Optimal Quality-of-Service Scheduling for Energy-Harvesting Powered Wireless Communications', IEEE Transactions on Wireless Communications, vol. 15, no. 5, pp. 3269-3280.
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Chen, Y, Wang, J, Xu, M, He, X & Lu, H 2016, 'A unified model sharing framework for moving object detection', Signal Processing, vol. 124, pp. 72-80.
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© 2015 Elsevier B.V. All rights reserved. Millions of surveillance cameras have been installed in public areas, producing vast amounts of video data every day. It is an urgent need to develop intelligent techniques to automatically detect and segment moving objects which have wide applications. Various approaches have been developed for moving object detection based on background modeling in the literature. Most of them focus on temporal information but partly or totally ignore spatial information, bringing about sensitivity to noise and background motion. In this paper, we propose a unified model sharing framework for moving object detection. To begin with, to exploit the spatial-temporal correlation across different pixels, we establish a many-to-one correspondence by model sharing between pixels, and a pixel is labeled into foreground or background by searching an optimal matched model in the neighborhood. Then a random sampling strategy is introduced for online update of the shared models. In this way, we can reduce the total number of models dramatically and match a proper model for each pixel accurately. Furthermore, existing approaches can be naturally embedded into the proposed sharing framework. Two popular approaches, statistical model and sample consensus model, are used to verify the effectiveness. Experiments and comparisons on ChangeDetection benchmark 2014 demonstrate the superiority of the model sharing solution.
Chen, Y, Zhen, YG, Hu, HY, Liang, J & Ma, KL 2016, 'Visualization technique for multi-attribute in hierarchical structure', Ruan Jian Xue Bao/Journal of Software, vol. 27, no. 5, pp. 1091-1102.
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Nowadays, there is increasing need to analyze the complex data with both hierarchical and multi-attributes in many fields such as food safety, stock market, and network security. The visual analytics appeared in recent years provides a good solution to analyze this kind of data. So far, many visualization methods for multi-dimensional data and hierarchical data, the typical data objects in the field of information visualization, have been presented to solve data analyzing problems effectively. However, the existing solutions can't meet requirements of visual analysis for the complex data with both multi-dimensional and hierarchical attributes. This paper presents a technology named Multi-Coordinate in Treemap (MCT), which combines rectangle treemap and multi-dimensional coordinates techniques. MCT uses treemap created with Squarified and Strip layout algorithm to represent hierarchical structure, uses four edges of treemap's rectangular node as the attribute axis, and through mapping property values to attribute axis, connecting attribute points and fitting curve, to achieve visualization of multi-attribute in hierarchical structure. This work applies MCT technology to visualize pesticide residue detection data and implements the visualization for detecting excessive pesticide residue in fruits and vegetables distributed in each provinces of China. This technology provides an efficient analysis tool for field experts. MCT can also be applied in other fields which require visual analysis of complex data with both hierarchical and multi-attribute.
Chen, Y, Zhou, Y, Yang, S, Li, JJ, Li, X, Ma, Y, Hou, Y, Jiang, N, Xu, C, Zhang, S, Zeng, R, Tu, M & Yu, B 2016, 'Novel bone substitute composed of chitosan and strontium-doped α-calcium sulfate hemihydrate: Fabrication, characterisation and evaluation of biocompatibility', Materials Science and Engineering: C, vol. 66, pp. 84-91.
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Calcium sulfate is in routine clinical use as a bone substitute, offering the benefits of biodegradability, biocompatibility and a long history of use in bone repair. The osteoconductive properties of calcium sulfate may be further improved by doping with strontium ions. Nevertheless, the high degradation rate of calcium sulfate may impede bone healing as substantial material degradation may occur before the healing process is complete. The purpose of this study is to develop a novel composite bone substitute composed of chitosan and strontium-doped α-calcium sulfate hemihydrate in the form of microcapsules, which can promote osteogenesis while matching the natural rate of bone healing. The developed microcapsules exhibited controlled degradation that facilitated the sustained release of strontium ions. In vitro testing showed that the microcapsules had minimal cytotoxicity and ability to inhibit bacterial growth. In vivo testing in a mouse model showed the absence of genetic toxicity and low inflammatory potential of the microcapsules. The novel microcapsules developed in this study demonstrated suitable degradation characteristics for bone repair as well as favourable in vitro and in vivo behaviour, and hold promise for use as an alternative bone substitute in orthopaedic surgery.
Chen, Y-C, Chen, W-H, Lin, B-J, Chang, J-S & Ong, HC 2016, 'Impact of torrefaction on the composition, structure and reactivity of a microalga residue', Applied Energy, vol. 181, pp. 110-119.
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Cheng, H-C & Hsieh, M-H 2016, 'Characterisations of Matrix and Operator-Valued $Φ$-Entropies, and Operator Efron-Stein Inequalities', Proc. R. Soc. A, vol. 472, no. 2187, p. 2187.
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We derive new characterisations of the matrix $\mathrm{\Phi}$-entropyfunctionals introduced in [Electron.~J.~Probab., 19(20): 1--30, 2014]. Notably,all known equivalent characterisations of the classical $\Phi$-entropies havetheir matrix correspondences. Next, we propose an operator-valuedgeneralisation of the matrix $\Phi$-entropy functionals, and prove theirsubadditivity under L\'owner partial ordering. Our results demonstrate that thesubadditivity of operator-valued $\Phi$-entropies is equivalent to theconvexity of various related functions. This result can be used to demonstratean interesting result in quantum information theory: the matrix $\Phi$-entropyof a quantum ensemble is monotone under unital quantum channels. Finally, wederive the operator Efron-Stein inequality to bound the operator-valuedvariance of a random matrix.
Cheng, H-C & Hsieh, M-H 2016, 'On the Concavity of Auxiliary Function in Classical-Quantum Channels', IEEE Trans. Inf. Theory, 62(10), 5960 - 5965, 2016, vol. 62, no. 10, pp. 5960-5965.
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The auxiliary function of a classical channel appears in two fundamentalquantities that upper and lower bound the error probability, respectively. Acrucial property of the auxiliary function is its concavity, which leads toseveral important results in finite block length analysis. In this paper, weprove that the auxiliary function of a classical-quantum channel also enjoysthe same concave property, extending an earlier partial result to its fullgenerality. The key component in our proof is a beautiful result of geometricmeans of operators.
Cheng, HC, Hsieh, MH & Yeh, PC 2016, 'The learnability of unknown quantum measurements', Quantum Information and Computation, vol. 16, no. 7-8, pp. 615-656.
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In this work, we provide an elegant framework to analyze learning matrices in the Schatten class by taking advantage of a recently developed methodology—matrix concentration inequalities. We establish the fat-shattering dimension, Rademacher/Gaussian complexity, and the entropy number of learning bounded operators and trace class operators. By characterising the tasks of learning quantum states and two-outcome quantum measurements into learning matrices in the Schatten-1 and ∞ classes, our proposed approach directly solves the sample complexity problems of learning quantum states and quantum measurements. Our main result in the paper is that, for learning an unknown quantum measurement, the upper bound, given by the fat-shattering dimension, is linearly proportional to the dimension of the underlying Hilbert space. Learning an unknown quantum state becomes a dual problem to ours, and as a byproduct, we can recover Aaronson’s famous result [Proc. R. Soc. A 463, 3089–3144 (2007)] solely using a classical machine learning technique. In addition, other famous complexity measures like covering numbers and Rademacher/Gaussian complexities are derived explicitly under the same framework. We are able to connect measures of sample complexity with various areas in quantum information science, e.g. quantum state/measurement tomography, quantum state discrimination and quantum random access codes, which may be of independent interest. Lastly, with the assistance of general Bloch-sphere representation, we show that learning quantum measurements/states can be mathematically formulated as a neural network. Consequently, classical ML algorithms can be applied to efficiently accomplish the two quantum learning tasks.
Cheng, J, Kim, J, Jiang, Z & Che, W 2016, 'Dual quaternion-based graphical SLAM', Robotics and Autonomous Systems, vol. 77, pp. 15-24.
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Cheng, X, Jiang, Z, Monaghan, BJ, Wei, D, Longbottom, RJ, Zhao, J, Peng, J, Luo, M, Ma, L, Luo, S & Jiang, L 2016, 'Breakaway oxidation behaviour of ferritic stainless steels at 1150°C in humid air', Corrosion Science, vol. 108, pp. 11-22.
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Chitambar, E & Hsieh, M-H 2016, 'Round Complexity in the Local Transformations of Quantum and Classical States', Nature Communications, vol. 8, no. 1.
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A natural operational paradigm for distributed quantum and classicalinformation processing involves local operations coordinated by multiple roundsof public communication. In this paper we consider the minimum number ofcommunication rounds needed to perform the locality-constrained task ofentanglement transformation and the analogous classical task of secrecymanipulation. Specifically we address whether bipartite mixed entanglement canalways be converted into pure entanglement or whether unsecure classicalcorrelations can always be transformed into secret shared randomness usinglocal operations and a bounded number of communication exchanges. Our maincontribution in this paper is an explicit construction of quantum and classicalstate transformations which, for any given $r$, can be achieved using $r$rounds of classical communication exchanges but no fewer. Our results revealthat highly complex communication protocols are indeed necessary to fullyharness the information-theoretic resources contained in general quantum andclassical states. The major technical contribution of this manuscript lies inproving lower bounds for the required number of communication exchanges usingthe notion of common information and various lemmas built upon it. We propose aclassical analog to the Schmidt rank of a bipartite quantum state which we callthe secrecy rank, and we show that it is a monotone under stochastic localclassical operations.
Choi, S, Tran, TT, Elbadawi, C, Lobo, C, Wang, X, Juodkazis, S, Seniutinas, G, Toth, M & Aharonovich, I 2016, 'Engineering and Localization of Quantum Emitters in Large Hexagonal Boron Nitride Layers', ACS APPLIED MATERIALS & INTERFACES, vol. 8, no. 43, pp. 29642-29648.
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Hexagonal boron nitride is a wide-band-gap van der Waals material that has recently emerged as a promising platform for quantum photonics experiments. In this work, we study the formation and localization of narrowband quantum emitters in large flakes (up to tens of micrometers wide) of hexagonal boron nitride. The emitters can be activated in as-grown hexagonal boron nitride by electron irradiation or high-temperature annealing, and the emitter formation probability can be increased by ion implantation or focused laser irradiation of the as-grown material. Interestingly, we show that the emitters are always localized at the edges of the flakes, unlike most luminescent point defects in three-dimensional materials. Our results constitute an important step on the roadmap of deploying hexagonal boron nitride in nanophotonics applications.
Choi, Y, Vigneswaran, S & Lee, S 2016, 'Evaluation of fouling potential and power density in pressure retarded osmosis (PRO) by fouling index', Desalination, vol. 389, pp. 215-223.
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Pressure retarded osmosis (PRO) is an osmotically-driven membrane process to utilize salinity gradient power (SGP), which is renewable energy originated from the different salt concentration between seawater and fresh water. However, PRO suffers from membrane fouling, leading to decreased water permeability and energy density. Although prediction of fouling is important for its mitigation and control, little information is available on fouling potential in PRO process. Accordingly, this study aims at the investigation of fouling propensity of PRO membranes under different conditions. Feed solutions that have different fouling potential were used in a laboratory-scale PRO system. Silt density index (SDI) and modified fouling index (MFI) were applied as indicators for assessing PRO membrane fouling. Results showed that the power density of PRO decreases with an increase of the fouling potential of the feed waters. MFI was proposed to be a fouling index for PRO because it showed a better correlation with the power density than SDI and turbidity. When MFI value is lower than 1400s/L2, the efficiency is higher than 70%, indicating that 30% loss in energy recovery compared to the case with D.I. water. This suggests that pretreatment requirements for PRO may be determined based on MFI results.
Choo, Y, Hu, H, Toth, K & Osuji, CO 2016, 'Sequential deposition of block copolymer thin films and formation of lamellar heterolattices by electrospray deposition', Journal of Polymer Science Part B: Polymer Physics, vol. 54, no. 2, pp. 247-253.
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ABSTRACTThe delivery of sub‐micron droplets of dilute polymer solutions to a heated substrate by electrospray atomization enabled precisely controlled and continuous deposition, or growth, of block copolymer thin films. It also provided, in principle, the ability to fabricate heterolattice materials using sequential depositions. This possibility was explored and the morphology of resulting composite films produced by such sequential electrospray deposition (ESD) of lamellar diblock copolymers of poly(styrene‐b‐4‐vinylpyridine) with differing molecular weights was examined. The structure of the heterolattice interface was a strong function of temperature. Sharp interfaces with abrupt changes in the lamellar period were observed at lower deposition temperatures, while higher temperatures produced a smooth variation in the lamellar period from one molecular weight to the next. The ordering kinetics of a secondary high molecular weight layer could be substantially enhanced depending on the molecular weight of the polymer present in the underlying primary layer. These findings were discussed in the context of temperature and molecular weight dependent diffusion dynamics of the polymers in the melt which control the inter‐mixing of the layers and therefore the structure of the heterolattice interface. © 2015 Wiley Periodicals, Inc. J. Polym. Sci., Part B: Polym. Phys. 2016, 54, 247–253
Choudhary, K, Indraratna, B & Rujikiatkamjorn, C 2016, 'Pore pressure based method to quantify smear around a vertical drain', Géotechnique Letters, vol. 6, no. 3, pp. 211-215.
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Radial consolidation testing of Ballina clay (New South Wales, Australia) was carried out using a large-scale consolidometer 650 mm in diameter. In this study, the characteristics of the smear zone were evaluated on the basis of hydraulic gradient changes derived from the measured excess pore pressure data in the radial direction. The extent of the smear zone determined using this technique is compared with past approaches, where the variations in water content and lateral permeability were adopted to evaluate smear. The approach proposed herein based on the change of hydraulic gradient coincides with the previous two methods, and the smear zone could be established at almost 2·5 times the effective mandrel diameter. A good agreement is also found between the theoretical radial consolidation predictions, after incorporating the smear zone characteristics and the measured time–settlement curve. The proposed method for the determination of smear zone extent can be carried out during consolidation with minimum disturbance to soil, provided a sufficient number of pore pressure transducers are installed. It also eliminates the need for a number of soil samples and high-quality soil sampling technique after the installation of the drain.
Chowdhury, L, Khan, MI, Deb, K & Kamal, S 2016, 'MetaG: a graph-based metagenomic gene analysis for big DNA data', Network Modeling Analysis in Health Informatics and Bioinformatics, vol. 5, no. 1.
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Chua, L, Head, K, Thomas, P & Stuart, B 2016, 'Micro-characterisation of the colour palette of ceremonial objects from the Papua New Guinea Highlands: Transition from natural to synthetic pigments', Microchemical Journal, vol. 124, pp. 547-558.
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Chua, L, Maynard-Casely, HE, Thomas, PS, Head, K & Stuart, BH 2016, 'Characterisation of blue pigments from ceremonial objects of the Southern Highlands in Papua New Guinea using vibrational spectroscopy and X-ray diffraction', Vibrational Spectroscopy, vol. 85, pp. 43-47.
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Chua, T-S, He, X, Liu, W, Piccardi, M, Wen, Y & Tao, D 2016, 'Big data meets multimedia analytics.', Signal Process., vol. 124, pp. 1-4.
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Chuang, S-W, Chuang, C-H, Yu, Y-H, King, J-T & Lin, C-T 2016, 'EEG Alpha and Gamma Modulators Mediate Motion Sickness-Related Spectral Responses', International Journal of Neural Systems, vol. 26, no. 02, pp. 1650007-1650007.
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Motion sickness (MS) is a common experience of travelers. To provide insights into brain dynamics associated with MS, this study recruited 19 subjects to participate in an electroencephalogram (EEG) experiment in a virtual-reality driving environment. When riding on consecutive winding roads, subjects experienced postural instability and sensory conflict between visual and vestibular stimuli. Meanwhile, subjects rated their level of MS on a six-point scale. Independent component analysis (ICA) was used to separate the filtered EEG signals into maximally temporally independent components (ICs). Then, reduced logarithmic spectra of ICs of interest, using principal component analysis, were decomposed by ICA again to find spectrally fixed and temporally independent modulators (IMs). Results demonstrated that a higher degree of MS accompanied increased activation of alpha ([Formula: see text]) and gamma ([Formula: see text]) IMs across remote-independent brain processes, covering motor, parietal and occipital areas. This co-modulatory spectral change in alpha and gamma bands revealed the neurophysiological demand to regulate conflicts among multi-modal sensory systems during MS.
Clegg, SR, Burdon, S & Nikolova, N 2016, 'The Outsourcing Debate: Theories and Findings', Journal of Management and Organization, vol. 11, no. 2, pp. 37-52.
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This paper addresses the issue of services outsourcing by looking at both theoretical and empirical arguments. Previous debates have often concentrated on the motives for adopting the practice rather than the outcomes. These various themes can be discussed under the twin concepts of the cost and efficiency argument and the fashion and isomorphism approach. Our research provides strong evidence to support the cost efficiency argument. On average, significant cost advantages were sought and delivered, as well as improvements in service levels and systems. Many organisations in the current environment in Australia look at outsourcing not only as a method of increasing efficiency but also as gaining competitive advantage through harnessing the superior specialist skills and experience of the outsourcing provider who takes someone's back office function and transforms them into their front office. A 10% net cost saving was considered necessary by an organisation before embarking on an organisational change that was disruptive and in some cases involved downside risks. Even if other efficiency gains such as service levels or systems improvements were required, so were 10%+ cost savings. A number of the organisations thought their skills in managing outsourcing had improved considerably such that they were in a position to move from a client/server relationship to a partnership model (i.e. an alliance).
Clement, S, Deng, W, Camilleri, E, Wilson, BC & Goldys, EM 2016, 'X-ray induced singlet oxygen generation by nanoparticle-photosensitizer conjugates for photodynamic therapy: determination of singlet oxygen quantum yield', Scientific Reports, vol. 6, no. 1, p. 19954.
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AbstractSinglet oxygen is a primary cytotoxic agent in photodynamic therapy. We show that CeF3 nanoparticles, pure as well as conjugated through electrostatic interaction with the photosensitizer verteporfin, are able to generate singlet oxygen as a result of UV light and 8 keV X-ray irradiation. The X-ray stimulated singlet oxygen quantum yield was determined to be 0.79 ± 0.05 for the conjugate with 31 verteporfin molecules per CeF3 nanoparticle, the highest conjugation level used. From this result we estimate the singlet oxygen dose generated from CeF3-verteporfin conjugates for a therapeutic dose of 60 Gy of ionizing radiation at energies of 6 MeV and 30 keV to be (1.2 ± 0.7) × 108 and (2.0 ± 0.1) × 109 singlet oxygen molecules per cell, respectively. These are comparable with cytotoxic doses of 5 × 107–2 × 109 singlet oxygen molecules per cell reported in the literature for photodynamic therapy using light activation. We confirmed that the CeF3-VP conjugates enhanced cell killing with 6 MeV radiation. This work confirms the feasibility of using X- or γ- ray activated nanoparticle-photosensitizer conjugates, either to supplement the radiation treatment of cancer, or as an independent treatment modality.
Cliff, OM, Prokopenko, M & Fitch, R 2016, 'An Information Criterion for Inferring Coupling in Distributed Dynamical Systems', Front. Robot. AI 3(71), 2016, vol. 3, no. NOV, pp. 1-9.
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The behaviour of many real-world phenomena can be modelled by nonlineardynamical systems whereby a latent system state is observed through a filter.We are interested in interacting subsystems of this form, which we model by aset of coupled maps as a synchronous update graph dynamical systems.Specifically, we study the structure learning problem for spatially distributeddynamical systems coupled via a directed acyclic graph. Unlike establishedstructure learning procedures that find locally maximum posterior probabilitiesof a network structure containing latent variables, our work exploits theproperties of dynamical systems to compute globally optimal approximations ofthese distributions. We arrive at this result by the use of time delayembedding theorems. Taking an information-theoretic perspective, we show thatthe log-likelihood has an intuitive interpretation in terms of informationtransfer.
Connerty, P, Bajan, S, Remenyi, J, Fuller-Pace, FV & Hutvagner, G 2016, 'The miRNA biogenesis factors, p72/DDX17 and KHSRP regulate the protein level of Ago2 in human cells', Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, vol. 1859, no. 10, pp. 1299-1305.
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© 2016 Elsevier B.V. MicroRNAs (miRNAs) are short (21–23 nt long) RNAs that post-transcriptionally regulate gene expression in plants and animals. They are key regulators in all biological processes. In mammalian cells miRNAs are loaded into one of the four members of the Argonaute (Ago) protein family to form the RNA-induced silencing complex (RISC). RISCs inhibit the translation of mRNAs that share sequence complementarity with their loaded miRNAs. miRNA processing and miRNA-mediated gene regulation are highly regulated processes and involve many RNA-binding proteins as auxiliary factors. Here we show that the two RNA-binding proteins, p72 and KHSRP, both with known roles in promoting miRNA biogenesis, regulate the protein level of human Ago2 in transformed human cells. We determined that p72 and KHSRP influence Ago2 stability by regulating miRNA levels in the cell and that loss of p72/KHSRP results in a decrease of unloaded Ago2.
Consoli, NC, da Rocha, CG & Maghous, S 2016, 'Strategies for Developing More Sustainable Dosages for Soil–Coal Fly Ash–Lime Blends', Journal of Materials in Civil Engineering, vol. 28, no. 11, pp. 04016130-04016130.
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Cooper, O, Wang, B, Brown, CL, Tiralongo, J & Iacopi, F 2016, 'Toward Label-Free Biosensing With Silicon Carbide: A Review', IEEE Access, vol. 4, pp. 477-497.
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© 2013 IEEE. Recent innovation in microelectrical-mechanical systems (MEMSs) and plasmonics-based technologies has opened up perspectives for label-free sensing of biological and chemical analytes. Label-free sensing would enable increased sensitivity and miniaturization capabilities for biosensing devices. Silicon carbide is a semiconductor material that happens to possess ideal properties for augmenting both the MEMS/nanoelectromechanical systems and the plasmonics routes. It has remarkable chemical and biological inertness resulting in a high degree of biocompatibility, as well as pronounced mechanical resilience. In addition, it is an efficient (low loss) plasmonic metamaterial. Its cubic polytype can be grown on silicon wafers, allowing easy micromachining into building blocks for sensing devices, scalable to large volume production. Finally, silicon carbide is an ideal starting material for a controlled, wafer-scale growth of graphene, offering an additional wealth of excellent properties for nanosensing. The combination of all of these capabilities makes silicon carbide an outstanding material platform for the realization of label-free, analyte-specific, and highly sensitive biochemical molecule detection systems. These technologies will open exciting horizons in terms of high throughput, efficient drug screening, and early pathogen detection.
Corsetti, S, McGloin, D & Kiefer, J 2016, 'Comparison of Raman and IR spectroscopy for quantitative analysis of gasoline/ethanol blends', Fuel, vol. 166, pp. 488-494.
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Ethanol is commonly admixed to petrochemical gasoline, and its amount in the fuel blend can influence the performance of an engine. The ethanol content in a commercial fuel can vary. To ensure reliable engine operation, control strategies based on a measurement of the composition need to be developed. Two possible methods to determine the ethanol content in ethanol/gasoline blends are Raman and IR spectroscopy. We compare both techniques for quantitative measurements in systematically varied blends of ethanol and a gasoline surrogate. For each method, two different approaches for data evaluation are tested and compared: Firstly, the calibration of the intensity ratio of characteristic peaks as function of composition; secondly, a principal component regression (PCR). Both methods are found to have comparable uncertainty. For the evaluation of the Raman spectra, the PCR method yielded better accuracy than the intensity ratio approach. In addition, a detailed investigation of the influence of noise in the signal is presented. When the full IR spectra were evaluated by PCR, even high noise levels did not reduce the measurement accuracy significantly.
Cropley, JE, Eaton, SA, Aiken, A, Young, PE, Giannoulatou, E, Ho, JWK, Buckland, ME, Keam, SP, Hutvagner, G, Humphreys, DT, Langley, KG, Henstridge, DC, Martin, DIK, Febbraio, MA & Suter, CM 2016, 'Male-lineage transmission of an acquired metabolic phenotype induced by grand-paternal obesity', Molecular Metabolism, vol. 5, no. 8, pp. 699-708.
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© 2016 The Author(s) Objective Parental obesity can induce metabolic phenotypes in offspring independent of the inherited DNA sequence. Here we asked whether such non-genetic acquired metabolic traits can be passed on to a second generation that has never been exposed to obesity, even as germ cells. Methods We examined the F1, F2, and F3 a/a offspring derived from F0 matings of obese prediabetic Avy/a sires and lean a/a dams. After F0, only lean a/a mice were used for breeding. Results We found that F1 sons of obese founder males exhibited defects in glucose and lipid metabolism, but only upon a post-weaning dietary challenge. F1 males transmitted these defects to their own male progeny (F2) in the absence of the dietary challenge, but the phenotype was largely attenuated by F3. The sperm of F1 males exhibited changes in the abundance of several small RNA species, including the recently reported diet-responsive tRNA-derived fragments. Conclusions These data indicate that induced metabolic phenotypes may be propagated for a generation beyond any direct exposure to an inducing factor. This non-genetic inheritance likely occurs via the actions of sperm noncoding RNA.
Cui, H, Wang, X, Lin, W, Zhou, J, Eberl, S, Feng, D & Fulham, M 2016, 'Primary lung tumor segmentation from PET–CT volumes with spatial–topological constraint', International Journal of Computer Assisted Radiology and Surgery, vol. 11, no. 1, pp. 19-29.
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Cui, P, Liu, H, Aggarwal, C & Wang, F 2016, 'Uncovering and Predicting Human Behaviors', IEEE Intelligent Systems, vol. 31, no. 2, pp. 77-88.
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da M. Costa, LP, McKenzie, TG, Schwarz, KN, Fu, Q & Qiao, GG 2016, 'Observed Photoenhancement of RAFT Polymerizations under Fume Hood Lighting', ACS Macro Letters, vol. 5, no. 11, pp. 1287-1292.
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Given the recent findings of exogenous radical initiator/catalyst-free reversible addition-fragmentation chain transfer (RAFT) radical polymerization under both UV and visible light irradiation, the effect of standard laboratory lighting conditions (fluorescent tube lights) on traditional RAFT reactions, that is, those conducted in the presence of a thermally activated radical initiator, remains unknown. This is investigated in the current study, where a significant 'photoenhancement' is observed for most cases under typical RAFT reaction conditions, indicating that fume hood lights can contribute to the generation of radicals in RAFT reactions. Given the observed emission spectrum of a typical fluorescent light source, the photoenhancement is proposed to occur through a visible light activation pathway. These findings are crucial for ensuring maximum reproducibility of controlled polymerizations conducted in the presence of typical sources of irradiation encountered in a standard chemical laboratory.
da Rocha, CG, Passuello, A, Consoli, NC, Quiñónez Samaniego, RA & Kanazawa, NM 2016, 'Life cycle assessment for soil stabilization dosages: A study for the Paraguayan Chaco', Journal of Cleaner Production, vol. 139, pp. 309-318.
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Dackermann, U, Elsener, R, Li, J & Crews, K 2016, 'A comparative study of using static and ultrasonic material testing methods to determine the anisotropic material properties of wood', CONSTRUCTION AND BUILDING MATERIALS, vol. 102, no. 2, pp. 963-976.
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© 2015 Elsevier Ltd. This paper presents a comparative study using static and ultrasonic testing for the determination of the full set of orthotropic material properties of wood. In the literature, material properties are typically only available in the longitudinal direction, and most international standards do not provide details on the testing of the other two secondary directions (radial and tangential). This work provides a comprehensive study and discussions on the determination of all twelve orthotropic material properties of two hardwood species using static testing and an alternative testing approach based on ultrasonic waves. Recommendations are given on the execution of the tests and the interpretation and calibration of the results.
Dackermann, U, Li, J, Rijal, R & Crews, K 2016, 'A dynamic-based method for the assessment of connection systems of timber composite structures', CONSTRUCTION AND BUILDING MATERIALS, vol. 102, pp. 999-1008.
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© 2015 Elsevier Ltd. This paper presents a dynamic-based method for the evaluation of connection systems of timber composite structures. The good bonding of the composite elements is crucial for the proper functioning of timber composite structures, as the design capacity and performance of the system cannot be achieved unless an adequate connection condition can be assured. The proposed dynamic method provides an alternative to traditional static load testing and uses vibration measurements to derive a Loss of Composite Action Index, based on an expanded Damage Index method, indicating the reduction in composite action due to the failure of shear connectors. The proposed method is validated on experimental and numerical models of a timber composite beam structure and a timber-concrete composite flooring system. The results demonstrate the effectiveness of the proposed dynamic-based approach that can achieve a good agreement between statically and dynamically derived composite action indicators.
Dahou, Z, Castel, A & Noushini, A 2016, 'Prediction of the steel-concrete bond strength from the compressive strength of Portland cement and geopolymer concretes', Construction and Building Materials, vol. 119, pp. 329-342.
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Dang, LC, Fatahi, B & Khabbaz, H 2016, 'Behaviour of Expansive Soils Stabilized with Hydrated Lime and Bagasse Fibres', ADVANCES IN TRANSPORTATION GEOTECHNICS III, vol. 143, pp. 658-665.
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© 2016 The Authors. Published by Elsevier B.V. Soil stabilization is the most common ground improvement technique adopted to improve problematic soil properties. This investigation exhibits a series of laboratory tests conducted to evaluate the influences of bagasse fibres and hydrated lime addition on the engineering properties and shrink-swell behaviour of stabilised expansive soils. Bagasse fibre is industrial waste by-product left after the crushing of sugar cane for juice extraction that was used in this study as reinforcing component for expansive soil stabilization. The expansive soils used in this investigation were collected from Queensland, Australia. In order to investigate the influences of bagasse fibres on the engineering behaviour of expansive soil, varying proportions of randomly distributed bagasse fibres of 0.5%, 1.0%, and 2.0% were added to expansive soil and hydrated lime-expansive soils mixed with different bagasse fibre proportions were also investigated. Although, an array of experimental tests have been undertaken on untreated and treated expansive soil samples, merely the outcomes of linear shrinkage, unconfined compressive strength (UCS) tests after various curing periods of 3, 7 and 28 days are presented in this paper. Other test results have been identified as follow up research. The findings of this experimental investigation indicate that bagasse fibre reinforcement blended with hydrated lime increased the compressive strength of expansive soil with increase in curing time and additives contents, whereas the linear shrinkage of stabilised expansive soils decreased with increasing hydrated lime and bagasse fibre proportions and curing periods. Based on the reasonable laboratory test results, it can be noted that the expansive soils can be successfully stabilized by combination of hydrated lime and bagasse fibres.
Dantanarayana, L, Dissanayake, G & Ranasinghe, R 2016, 'C-LOG: A Chamfer distance based algorithm for localisation in occupancy grid-maps.', CAAI Trans. Intell. Technol., vol. 1, no. 3, pp. 272-284.
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Das, A, Ferrer, MA, Pal, U, Pal, S, Diaz, M & Blumenstein, M 2016, 'Multi‐script versus single‐script scenarios in automatic off‐line signature verification', IET Biometrics, vol. 5, no. 4, pp. 305-313.
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Das, A, Pal, U, Ferrer, MA & Blumenstein, M 2016, 'A framework for liveness detection for direct attacks in the visible spectrum for multimodal ocular biometrics', Pattern Recognition Letters, vol. 82, no. 2, pp. 232-241.
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© 2015 Elsevier B.V. In this research a new framework for software-based liveness detection for direct attacks in multimodal ocular biometrics across the visible spectrum is proposed. The framework aims to develop a more realistic method for liveness detection compared to previous frameworks proposed in the literature. To fulfil the above highlighted aims in this framework, intra-class level (i.e. user level) liveness detection is introduced. To detect liveness, a new set of image quality-based features is proposed for multimodal ocular biometrics in the visible spectrum. A variety of transformed domain (focus related) aspect and contrast-related quality features are employed to design the framework. Furthermore a new database is developed for liveness detection of multimodal ocular biometrics, which has the prominent presence of multimodal ocular traits (both sclera and iris). Moreover this database is comprised of a larger variety of fake images; those were prepared by employing versatile forging techniques which can be exhibited by imposters. Therefore the proposed schema has dealt with versatile categories of spoofing methods, which were not considered previously in the literature. The database contains a set of 500 fake and 500 genuine eye images acquired from 50 different eyes. An appreciable liveness detection result is achieved in the experiments. Furthermore, the experimental results conclude that this new framework is more efficient and competitive when compared to previous liveness detection schemes.
Dehbari, N, Tavakoli, J, Zhao, J & Tang, Y 2016, 'Enhancing water swelling ability and mechanical properties of water‐swellable rubber by PAA/SBS nanofiber mats', Journal of Applied Polymer Science, vol. 133, no. 47.
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ABSTRACTInvestigation of the potential use of nanofibers to reinforce composites has gained significance in many applications. In this article, the nanofiber mats of poly(acrylic acid) (PAA) and styrene–butadiene–styrene (SBS) triblock copolymer with composites structure were interweaved by double needle electrospinning process. The multiple nanofiber mats were added to conventional water‐swellable rubber (WSR). Improved mechanical and physical properties of WSR were obtained. Enhancement of the swellability of WSR + PAA/SBS nanofiber mats was derived from the PAA constituent absorbing water from the surface into the bulk and introducing random internal water channels between discontinuous superabsorbent polymers. The role of SBS nanofibers in the composite of WSR + PAA/SBS nanofiber mats was more related to the mechanical properties, where the breaking force of the composite increased to twice that of the conventional WSR. Interestingly, after immersion of the WSR + PAA/SBS nanofiber mats in water for 1 week, there was only a slight decrease in their mechanical properties of less than 5% compared to the dry state. The mechanisms and effects of the nanofiber mats in enhancing the mechanical and water swelling properties of WSR are also discussed. © 2016 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2016, 133, 44213.
Deng, C, Ding, F, Li, X, Guo, Y, Ni, W, Yan, H, Sun, K & Yan, Y-M 2016, 'Templated-preparation of a three-dimensional molybdenum phosphide sponge as a high performance electrode for hydrogen evolution', Journal of Materials Chemistry A, vol. 4, no. 1, pp. 59-66.
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A sponge-shaped three-dimensional MoP (3D MoP) electrocatalyst is prepared and used as a binder-free electrode for the HER, exhibiting promising catalytic activity.
Deng, L, Guo, W, Ngo, HH, Du, B, Wei, Q, Tran, NH, Nguyen, NC, Chen, S-S & Li, J 2016, 'Effects of hydraulic retention time and bioflocculant addition on membrane fouling in a sponge-submerged membrane bioreactor', Bioresource Technology, vol. 210, pp. 11-17.
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The characteristics of activated sludge and membrane fouling were evaluated in a sponge-submerged membrane bioreactor (SSMBR) at different hydraulic retention times (HRTs) (6.67, 5.33 and 4.00h). At shorter HRT, more obvious membrane fouling was caused by exacerbated cake layer formation and aggravated pore blocking. Activated sludge possessed more extracellular polymeric substances (EPS) due to excessive growth of biomass and lower protein to polysaccharide ratio in soluble microbial products (SMP). The cake layer resistance was aggravated by increased sludge viscosity together with the accumulated EPS and biopolymer clusters (BPC) on membrane surface. However, SMP showed marginal effect on membrane fouling when SSMBRs were operated at all HRTs. The SSMBR with Gemfloc® addition at the optimum HRT of 6.67h demonstrated superior sludge characteristics such as larger floc size, less SMP in mixed liquor with higher protein/polysaccharide ratio, less SMP and BPC in cake layer, thereby further preventing membrane fouling.
Deng, L, Guo, W, Ngo, HH, Zhang, H, Wang, J, Li, J, Xia, S & Wu, Y 2016, 'Biofouling and control approaches in membrane bioreactors', Bioresource Technology, vol. 221, pp. 656-665.
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Deng, L, Guo, W, Ngo, HH, Zhang, X, Wang, XC, Zhang, Q & Chen, R 2016, 'New functional biocarriers for enhancing the performance of a hybrid moving bed biofilm reactor–membrane bioreactor system', Bioresource Technology, vol. 208, pp. 87-93.
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© 2016 Elsevier Ltd. In this study, new sponge modified plastic carriers for moving bed biofilm reactor (MBBR) was developed. The performance and membrane fouling behavior of a hybrid MBBR-membrane bioreactor (MBBR-MBR) system were also evaluated. Comparing to the MBBR with plastic carriers (MBBR), the MBBR with sponge modified biocarriers (S-MBBR) showed better effluent quality and enhanced nutrient removal at HRTs of 12 h and 6 h. Regarding fouling issue of the hybrid systems, soluble microbial products (SMP) of the MBR unit greatly influenced membrane fouling. The sponge modified biocarriers could lower the levels of SMP in mixed liquor and extracellular polymeric substances in activated sludge, thereby mitigating cake layer and pore blocking resistances of the membrane. The reduced SMP and biopolymer clusters in membrane cake layer were also observed. The results demonstrated that the sponge modified biocarriers were capable of improving overall MBBR performance and substantially alleviated membrane fouling of the subsequent MBR unit.
Deng, W, Kautzka, Z, Chen, W & Goldys, EM 2016, 'PLGA nanocomposites loaded with verteporfin and gold nanoparticles for enhanced photodynamic therapy of cancer cells', RSC Advances, vol. 6, no. 113, pp. 112393-112402.
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Enhanced 1O2 generation from PLGA loaded with verteporfin and gold nanoparticles under light illumination has the potential to improve cancer cell-killing effect.
Devitt, SJ 2016, 'Performing Quantum Computing Experiments in the Cloud', Phys. Rev. A, vol. 94, no. 3, p. 032329.
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Quantum computing technology has reached a second renaissance in the pastfive years. Increased interest from both the private and public sector combinedwith extraordinary theoretical and experimental progress has solidified thistechnology as a major advancement in the 21st century. As anticipated by many,the first realisation of quantum computing technology would occur over thecloud, with users logging onto dedicated hardware over the classical internet.Recently IBM has released the {\em Quantum Experience} which allows users toaccess a five qubit quantum processor. In this paper we take advantage of thisonline availability of actual quantum hardware and present four quantuminformation experiments that have never been demonstrated before. We utilisethe IBM chip to realise protocols in Quantum Error Correction, QuantumArithmetic, Quantum graph theory and Fault-tolerant quantum computation, byaccessing the device remotely through the cloud. While the results are subjectto significant noise, the correct results are returned from the chip. Thisdemonstrates the power of experimental groups opening up their technology to awider audience and will hopefully allow for the next stage development inquantum information technology.
Devitt, SJ 2016, 'Programming quantum computers using 3-D puzzles, coffee cups, and doughnuts', XRDS, vol. 23, no. 1, pp. 45-50.
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The task of programming a quantum computer is just as strange as quantummechanics itself. But it now looks like a simple 3D puzzle may be the futuretool of quantum software engineers.
Dharma, S, Masjuki, HH, Ong, HC, Sebayang, AH, Silitonga, AS, Kusumo, F & Mahlia, TMI 2016, 'Optimization of biodiesel production process for mixed Jatropha curcas–Ceiba pentandra biodiesel using response surface methodology', Energy Conversion and Management, vol. 115, pp. 178-190.
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Exploring and improvement of biodiesel production from non-edible vegetable oil is one of the effective ways to solve limited amount of traditional raw materials and their high prices. The main objective of this study is to optimize the biodiesel production process parameters (methanol-to-oil ratio, agitation speed and concentration of the potassium hydroxide catalyst) of a biodiesel derived from non-edible feedstocks, namely Jatropha curcas and Ceiba pentandra, using response surface methodology based on Box-Behnken experimental design. Based on the results, the optimum operating parameters for transesterification of the J50C50 oil mixture at 60 °C over a period of 2 h are as follows: methanol-to-oil ratio: 30%, agitation speed: 1300 rpm and catalyst concentration: 0.5 wt.%. These optimum operating parameters gives the highest yield for the J50C50 biodiesel with a value of 93.33%. The results show that there is a significant improvement in the physicochemical properties of the J50C50 biodiesel after optimization, whereby the kinematic viscosity at 40 °C, density at 15 °C, calorific value, acid value and oxidation stability is 3.950 mm2/s, 831.2 kg/m3, 40.929 MJ/kg, 0.025 mg KOH/g and 10.01 h, respectively. The physicochemical properties of the optimized J50C50 biodiesel fulfill the requirements given in the ASTM D6751 and EN14214 standards.
Dharma, S, Ong, HC, Masjuki, HH, Sebayang, AH & Silitonga, AS 2016, 'An overview of engine durability and compatibility using biodiesel–bioethanol–diesel blends in compression-ignition engines', Energy Conversion and Management, vol. 128, pp. 66-81.
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The realization of declining fossil fuel supplies and the adverse impact of fossil fuels on the environment has accelerated research and development activities in renewable energy sources and technologies. Biofuels are renewable fuels made from edible, non-edible or waste oils, as well as animal fats and algae, and these fuels have been proven to be good substitutes for fossil fuels in the transportation sector. Bioethanol and biodiesels have gained worldwide attention in order to address environmental issues associated with fossil fuels, provide energy security, reduce imports and rural employment, as well as improve agricultural economy. Bioethanol has high oxygen content and octane content up to 35% and 108, respectively and hence, it increases oxygenation and improves combustion of fuel. In addition, bioethanol has lower vaporization pressure, which reduces the risks associated with evaporative emissions. In contrast, biodiesel has good lubricity, which helps protect the surface of engine components from wear and friction. The use of biodiesel–bioethanol–petroleum diesel blends poses a greater challenge with regards to improving the compatibility of the materials with the fuel system in compression ignition (CI) and spark ignition (SI) engines. In this work, the technical conditions of an engine (i.e. engine deposits, wear of the engine components and quality of the lubrication oil) are assessed by the application of with biodiesel–bioethanol–petroleum diesel blends. It is deemed important to evaluate the effects of using bioethanol and biodiesels in diesel engines. This paper provides insight on the feasibility of biodiesel and bioethanol feedstocks, the compatibility of biodiesels, bioethanol and their blends with diesel engines as well as the physicochemical properties of these fuels.
Dias, A, Skinner, J, Crews, K & Tannert, T 2016, 'Timber-concrete-composites increasing the use of timber in construction', European Journal of Wood and Wood Products, vol. 74, no. 3, pp. 443-451.
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Diez, A, Khoa, NLD, Makki Alamdari, M, Wang, Y, Chen, F & Runcie, P 2016, 'A clustering approach for structural health monitoring on bridges', Journal of Civil Structural Health Monitoring, vol. 6, no. 3, pp. 429-445.
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© 2016, Springer-Verlag Berlin Heidelberg. Structural health monitoring is a process for identifying damage in civil infrastructures using sensing system. It has been increasingly employed due to advances in sensing technologies and data analytic using machine learning. A common problem within this scenario is that limited data of real structural faults are available. Therefore, unsupervised and novelty detection machine learning methods must be employed. This work presents a clustering based approach to group substructures or joints with similar behaviour on bridge and then detect abnormal or damaged ones, as part of efforts in applying structural health monitoring to the Sydney Harbour Bridge, one of iconic structures in Australia. The approach is a combination of feature extraction, a nearest neighbor based outlier removal, followed by a clustering approach over both vibration events and joints representatives. Vibration signals caused by passing vehicles from different joints are then classified and damaged joints can be detected and located. The validity of the approach was demonstrated using real data collected from the Sydney Harbour Bridge. The clustering results showed correlations among similarly located joints in different bridge zones. Moreover, it also helped to detect a damaged joint and a joint with a faulty instrumented sensor, and thus demonstrated the feasibility of the proposed clustering based approach to complement existing damage detection strategies.
Ding, G & Forsythe, P 2016, 'A comparative study of floor construction on sloping sites: an analysis of cumulative energy demand and greenhouse gas emissions', Construction Economics and Building, vol. 16, no. 1, pp. 33-49.
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In order to make environmentally aware decisions, there is growing interest in the comparative energy and greenhouse gas (GHG) performance of competing construction methods. Little research has been done concerning competing ground floor construction methods, especially given different site variables, such as slope and soil type. A life cycle assessment approach was adopted to analyse environmental impacts, including cumulative energy demand and GHG emissions for detached housing construction in Australia. Data was drawn from 24 case study housing projects, including 12 reinforced concrete and 12 suspended timber floor projects. The data presented in the paper compares cumulative energy demand, GHG and the constituent parts of competing construction methods. The findings indicate that the timber floors use/create significantly less cumulative energy demand and GHG emissions than concrete floors—approximately 2.1 to 2.7 times less energy and 2.3 to 2.9 times less GHG. These findings are limited to the site slope and foundation soil types identified in the paper. The main application of the work is in guidance concerning the lowest environmental impact options for detached housing construction.
Ding, W-P, Lin, C-T, Prasad, M, Chen, S-B & Guan, Z-J 2016, 'Attribute Equilibrium Dominance Reduction Accelerator (DCCAEDR) Based on Distributed Coevolutionary Cloud and Its Application in Medical Records', IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 46, no. 3, pp. 384-400.
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© 2013 IEEE. Aimed at the tremendous challenge of attribute reduction for big data mining and knowledge discovery, we propose a new attribute equilibrium dominance reduction accelerator (DCCAEDR) based on the distributed coevolutionary cloud model. First, the framework of N-populations distributed coevolutionary MapReduce model is designed to divide the entire population into N subpopulations, sharing the reward of different subpopulations' solutions under a MapReduce cloud mechanism. Because the adaptive balancing between exploration and exploitation can be achieved in a better way, the reduction performance is guaranteed to be the same as those using the whole independent data set. Second, a novel Nash equilibrium dominance strategy of elitists under the N bounded rationality regions is adopted to assist the subpopulations necessary to attain the stable status of Nash equilibrium dominance. This further enhances the accelerator's robustness against complex noise on big data. Third, the approximation parallelism mechanism based on MapReduce is constructed to implement rule reduction by accelerating the computation of attribute equivalence classes. Consequently, the entire attribute reduction set with the equilibrium dominance solution can be achieved. Extensive simulation results have been used to illustrate the effectiveness and robustness of the proposed DCCAEDR accelerator for attribute reduction on big data. Furthermore, the DCCAEDR is applied to solve attribute reduction for traditional Chinese medical records and to segment cortical surfaces of the neonatal brain 3-D-MRI records, and the DCCAEDR shows the superior competitive results, when compared with the representative algorithms.
Ding, Y, Huang, W, Sheng, D & Sloan, SW 2016, 'Reply to discussion on “Numerical study on finite element implementation of hypoplastic models” by Yutang Ding, Wenxiong Huang, Daichao Sheng, and Scott W. Sloan [Comput. Geotech. 68 (2015) 78–90]', Computers and Geotechnics, vol. 71, pp. 278-280.
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Du, BX, He, ZY, Du, Q & Guo, YG 2016, 'Effects of water absorption on surface charge and dielectric breakdown of polyimide/Al2O3nanocomposite films', IEEE Transactions on Dielectrics and Electrical Insulation, vol. 23, no. 1, pp. 134-141.
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Du, F, Zhang, J, Li, H, Yan, J, Galloway, S & Lo, KL 2016, 'Modelling the impact of social network on energy savings', Applied Energy, vol. 178, pp. 56-65.
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Du, J, He, R & Sugumaran, V 2016, 'Clustering and ontology-based information integration framework for surface subsidence risk mitigation in underground tunnels', Cluster Computing, vol. 19, no. 4, pp. 2001-2014.
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Du, W, Su, QP, Chen, Y, Zhu, Y, Jiang, D, Rong, Y, Zhang, S, Zhang, Y, Ren, H, Zhang, C, Wang, X, Gao, N, Wang, Y, Sun, L, Sun, Y & Yu, L 2016, 'Kinesin 1 Drives Autolysosome Tubulation', Developmental Cell, vol. 37, no. 4, pp. 326-336.
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© 2016 Elsevier Inc. Autophagic lysosome reformation (ALR) plays an important role in maintaining lysosome homeostasis. During ALR, lysosomes are reformed by recycling lysosomal components from autolysosomes. The most noticeable step of ALR is autolysosome tubulation, but it is currently unknown how the process is regulated. Here, using an approach combining in vivo studies and in vitro reconstitution, we found that the kinesin motor protein KIF5B is required for autolysosome tubulation and that KIF5B drives autolysosome tubulation by pulling on the autolysosomal membrane. Furthermore, we show that KIF5B directly interacts with PtdIns(4,5)P2. Kinesin motors are recruited and clustered on autolysosomes via interaction with PtdIns(4,5)P2 in a clathrin-dependent manner. Finally, we demonstrate that clathrin promotes formation of PtdIns(4,5)P2-enriched microdomains, which are required for clustering of KIF5B. Our study reveals a mechanism by which autolysosome tubulation was generated.
Du, X, Yan, Y, Pan, P, Long, G & Zhao, L 2016, 'Multiple graph unsupervised feature selection', Signal Processing, vol. 120, pp. 754-760.
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© 2014 Elsevier B.V. All rights reserved. Feature selection improves the quality of the model by filtering out the noisy or redundant part. In the unsupervised scenarios, the selection is challenging due to the unavailability of the labels. To overcome that, the graphs which can unfold the geometry structure on the manifold are usually used to regularize the selection process. These graphs can be constructed either in the local view or the global view. As the local graph is more discriminative, previous methods tended to use the local graph rather than the global graph. But the global graph also has useful information. In light of this, in this paper, we propose a multiple graph unsupervised feature selection method to leverage the information from both local and global graphs. Besides that, we enforce the ll2,pl norm to achieve more flexible sparse learning. The experiments which inspect the effects of multiple graph and ll2,pl norm are conducted respectively on various datasets, and the comparisons to other mainstream methods are also presented in this paper. The results support that the multiple graph could be better than the single graph in the unsupervised feature selection, and the overall performance of the proposed method is higher than the other comparisons.
Duan, L, Liu, D, Zhang, Y, Chen, S, Liu, RP, Cheng, B & Chen, J 2016, 'Secure Data-Centric Access Control for Smart Grid Services Based on Publish/Subscribe Systems', ACM Transactions on Internet Technology, vol. 16, no. 4, pp. 1-17.
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The communication systems in existing smart grids mainly take the request/reply interaction model, in which data access is under the direct control of data producers. This tightly controlled interaction model is not scalable to support complex interactions among smart grid services. On the contrary, the publish/subscribe system features a loose coupling communication infrastructure and allows indirect, anonymous and multicast interactions among smart grid services. The publish/subscribe system can thus support scalable and flexible collaboration among smart grid services. However, the access is not under the direct control of data producers, it might not be easy to implement an access control scheme for a publish/subscribe system. In this article, we propose a Data-Centric Access Control Framework (DCACF) to support secure access control in a publish/subscribe model. This framework helps to build scalable smart grid services, while keeping features of service interactions and data confidentiality at the same time. The data published in our DCACF is encrypted with a fully homomorphic encryption scheme, which allows in-grid homomorphic aggregation of the encrypted data. The encrypted data is accompanied by bloom-filter encoded control policies and access credentials to enable indirect access control. We have analyzed the correctness and security of our DCACF and evaluated its performance in a distributed environment.
Duan, L, Zhang, Y, Chen, S, Zhao, S, Wang, S, Liu, D, Liu, RP, Cheng, B & Chen, J 2016, 'Automated Policy Combination for Secure Data Sharing in Cross-Organizational Collaborations', IEEE Access, vol. 4, pp. 3454-3468.
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© 2016 IEEE. During business collaborations, multiple participating organizations often need to share data for common interests. In such cases, it is necessary to combine local policies from different organizations into a global one in order to manage access to the shared data. However, local policies of organizations may be different or even conflicting, due to diverse rules and rule combining algorithms chosen. Few existing methods for policy combination are able to automatically combine multiple local policies into a global one. In this paper, we propose a bottom-up approach to address the issues of multiple policy combinations. The key idea is to first classify the rules based on attribute constraints in each policy, and then reduce the rules of the corresponding classes to one with the same attribute constraints. The reduced rules are then combined into a new global policy by choosing the appropriate rule combining algorithm in XACML. The latter ensures compliance with each of the local policies at syntax and semantic levels. To validate our approach, we develop a proof-of-concept implementation of the automated policy combination. Experimental results demonstrate that our approach is highly scalable and supports a number of attribute constraints in each local policy.
Duong, HC, Cooper, P, Nelemans, B, Cath, TY & Nghiem, LD 2016, 'Evaluating energy consumption of air gap membrane distillation for seawater desalination at pilot scale level', Separation and Purification Technology, vol. 166, pp. 55-62.
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This study aimed to optimise an air gap membrane distillation (AGMD) system for seawater desalination with respect to distillate production as well as thermal and electrical energy consumption. Pilot evaluation data shows a notable influence of evaporator inlet temperature and water circulation rate on process performance. An increase in both distillate production rate and energy efficiency could be obtained by increasing the evaporator inlet temperature. On the other hand, there was a trade-off between the distillate production rate and energy efficiency when the water circulation rate varied. Increasing the water circulation rate resulted in an improvement in the distillate production rate, but also an increase in both specific thermal and electrical energy consumption. Given the small driving force used in the pilot AGMD, discernible impact of feed salinity on process performance could be observed, while the effects of temperature and concentration polarisation were small. At the optimum operating conditions identified in this study, a stable AGMD operation for seawater desalination could be achieved with specific thermal and electrical energy consumption of 90 and 0.13 kW h/m3, respectively. These values demonstrate the commercial viability of AGMD for small-scale and off-grid seawater desalination where solar thermal or low-grade heat sources are readily available.
Dusi, M, Finamore, A, Claffy, K, Brownlee, N & Veitch, D 2016, 'Guest Editorial Measuring and Troubleshooting the Internet: Algorithms, Tools and Applications', IEEE Journal on Selected Areas in Communications, vol. 34, no. 6, pp. 1805-1806.
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Eager, D, Pendrill, A-M & Reistad, N 2016, 'Beyond velocity and acceleration: jerk, snap and higher derivatives', European Journal of Physics, vol. 37, no. 6, pp. 065008-065008.
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© 2016 IOP Publishing Ltd. The higher derivatives of motion are rarely discussed in the teaching of classical mechanics of rigid bodies; nevertheless, we experience the effect not only of acceleration, but also of jerk and snap. In this paper we will discuss the third and higher order derivatives of displacement with respect to time, using the trampolines and theme park roller coasters to illustrate this concept. We will also discuss the effects on the human body of different types of acceleration, jerk, snap and higher derivatives, and how they can be used in physics education to further enhance the learning and thus the understanding of classical mechanics concepts.
Ekong, U, Lam, HK, Xiao, B, Ouyang, G, Liu, H, Chan, KY & Ling, SH 2016, 'Classification of epilepsy seizure phase using interval type-2 fuzzy support vector machines', NEUROCOMPUTING, vol. 199, pp. 66-76.
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An interval type-2 fuzzy support vector machine (IT2FSVM) is proposed to solve a classification problem which aims to classify three epileptic seizure phases (seizure-free, pre-seizure and seizure) from the electroencephalogram (EEG) captured from patients with neurological disorder symptoms. The effectiveness of the IT2FSVM classifier is evaluated based on a set of EEG samples which are collected from 10 patients at Peking university hospital. The EEG samples for the three seizure phases were captured by the 112 2-s 19 channel EEG epochs, where each patient was extracted for each sample. Feature extraction was used to reduce the feature vector of the EEG samples to 45 elements and the EEG samples with the reduced features are used for training the IT2FSVM classifier. The classification results obtained by the IT2FSVM are compared with three traditional classifiers namely Support Vector Machine, k-Nearest Neighbor and naive Bayes. The experimental results show that the IT2FSVM classifier is able to achieve superior learning capabilities with respect to the uncontaminated samples when compared with the three classifiers. In order to validate the level of robustness of the IT2FSVM, the original EEG samples are contaminated with Gaussian white noise at levels of 0.05, 0.1, 0.2 and 0.5. The simulation results show that the IT2FSVM classifier outperforms the traditional classifiers under the original dataset and also shows a high level of robustness when compared to the traditional classifiers with white Gaussian noise applied to it.
Elbadawi, C, Tran, TT, Kolíbal, M, Šikola, T, Scott, J, Cai, Q, Li, LH, Taniguchi, T, Watanabe, K, Toth, M, Aharonovich, I & Lobo, C 2016, 'Electron beam directed etching of hexagonal boron nitride', Nanoscale, vol. 8, no. 36, pp. 16182-16186.
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High resolution directed electron beam etching of hBN using water as the precursor gas.
Elizabeth Tome, M & Vassallo, AM 2016, 'The effect of individual and communal electricity generation, consumption and storage on urban community renewable energy networks (CREN): An Australian case study', International Journal of Sustainable Energy Planning and Management, vol. 11, pp. 15-32.
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Community Renewable Energy Networks, in which households and businesses in a local community share energy resources, are an attractive platform for optimising renewable energy use and reducing dependence on the wider electricity grid. However, the optimal use of local power generation and energy storage is critically dependent on the load characteristics and location of the community. In this work we compare the simulated energy generation, consumption and independence of two model developments in Melbourne and Sydney. The analysis looks at 6 basic scenarios, from the default grid dependence through to a community approach with both individual and communal photovoltaic (PV) generation and battery energy storage. The results show that a combination of household and community owned PV and storage can reduce grid electricity import by up to 93% for Melbourne and 96% for Sydney, but that neither development could independently meet all its power requirements without shortfall. The shortfall arises during the winter months when PV generation is at its lowest, and no practical amount of energy storage can mitigate this. Interestingly, Melbourne, which is at a higher latitude than Sydney and receives less solar insolation, achieves more months of grid independence than Sydney.
Entezari, A, Fang, J, Sue, A, Zhang, Z, Swain, MV & Li, Q 2016, 'Yielding behaviors of polymeric scaffolds with implications to tissue engineering', Materials Letters, vol. 184, pp. 108-111.
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Entezari, A, Roohani-Esfahani, S-I, Zhang, Z, Zreiqat, H, Dunstan, CR & Li, Q 2016, 'Fracture behaviors of ceramic tissue scaffolds for load bearing applications', Scientific Reports, vol. 6, no. 1.
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AbstractHealing large bone defects, especially in weight-bearing locations, remains a challenge using available synthetic ceramic scaffolds. Manufactured as a scaffold using 3D printing technology, Sr-HT-Gahnite at high porosity (66%) had demonstrated significantly improved compressive strength (53 ± 9 MPa) and toughness. Nevertheless, the main concern of ceramic scaffolds in general remains to be their inherent brittleness and low fracture strength in load bearing applications. Therefore, it is crucial to establish a robust numerical framework for predicting fracture strengths of such scaffolds. Since crack initiation and propagation plays a critical role on the fracture strength of ceramic structures, we employed extended finite element method (XFEM) to predict fracture behaviors of Sr-HT-Gahnite scaffolds. The correlation between experimental and numerical results proved the superiority of XFEM for quantifying fracture strength of scaffolds over conventional FEM. In addition to computer aided design (CAD) based modeling analyses, XFEM was conducted on micro-computed tomography (μCT) based models for fabricated scaffolds, which took into account the geometric variations induced by the fabrication process. Fracture strengths and crack paths predicted by the μCT-based XFEM analyses correlated well with relevant experimental results. The study provided an effective means for the prediction of fracture strength of porous ceramic structures, thereby facilitating design optimization of scaffolds.
Erami, Z, Herrmann, D, Warren, SC, Nobis, M, McGhee, EJ, Lucas, MC, Leung, W, Reischmann, N, Mrowinska, A, Schwarz, JP, Kadir, S, Conway, JRW, Vennin, C, Karim, SA, Campbell, AD, Gallego-Ortega, D, Magenau, A, Murphy, KJ, Ridgway, RA, Law, AM, Walters, SN, Grey, ST, Croucher, DR, Zhang, L, Herzog, H, Hardeman, EC, Gunning, PW, Ormandy, CJ, Evans, TRJ, Strathdee, D, Sansom, OJ, Morton, JP, Anderson, KI & Timpson, P 2016, 'Intravital FRAP Imaging using an E-cadherin-GFP Mouse Reveals Disease- and Drug-Dependent Dynamic Regulation of Cell-Cell Junctions in Live Tissue', Cell Reports, vol. 14, no. 1, pp. 152-167.
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Erfani, SS, Blount, Y & Abedin, B 2016, 'The influence of health-specific social network site use on the psychological well-being of cancer-affected people', JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, vol. 23, no. 3, pp. 467-476.
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Fabian, J, Opitz, D, Althoff, K, Lodrini, M, Hero, B, Volland, R, Beckers, A, de Preter, K, Decock, A, Patil, N, Abba, M, Kopp-Schneider, A, Astrahantseff, K, Wünschel, J, Pfeil, S, Ercu, M, Künkele, A, Hu, J, Thole, T, Schweizer, L, Mechtersheimer, G, Carter, D, Cheung, BB, Popanda, O, von Deimling, A, Koster, J, Versteeg, R, Schwab, M, Marshall, GM, Speleman, F, Erb, U, Zoeller, M, Allgayer, H, Simon, T, Fischer, M, Kulozik, AE, Eggert, A, Witt, O, Schulte, JH & Deubzer, HE 2016, 'MYCN and HDAC5 transcriptionally repress CD9 to trigger invasion and metastasis in neuroblastoma', Oncotarget, vol. 7, no. 41, pp. 66344-66359.
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The systemic and resistant nature of metastatic neuroblastoma renders it largely incurable with current multimodal treatment. Clinical progression stems mainly from the increasing burden of metastatic colonization. Therapeutically inhibiting the migration-invasion-metastasis cascade would be of great benefit, but the mechanisms driving this cycle are as yet poorly understood. In-depth transcriptome analyses and ChIP-qPCR identified the cell surface glycoprotein, CD9, as a major downstream player and direct target of the recently described GRHL1 tumor suppressor. CD9 is known to block or facilitate cancer cell motility and metastasis dependent upon entity. High-level CD9 expression in primary neuroblastomas correlated with patient survival and established markers for favorable disease. Low-level CD9 expression was an independent risk factor for adverse outcome. MYCN and HDAC5 colocalized to the CD9 promoter and repressed transcription. CD9 expression diminished with progressive tumor development in the TH-MYCN transgenic mouse model for neuroblastoma, and CD9 expression in neuroblastic tumors was far below that in ganglia from wildtype mice. Primary neuroblastomas lacking MYCN amplifications displayed differential CD9 promoter methylation in methyl-CpG-binding domain sequencing analyses, and high-level methylation was associated with advanced stage disease, supporting epigenetic regulation. Inducing CD9 expression in a SH-EP cell model inhibited migration and invasion in Boyden chamber assays. Enforced CD9 expression in neuroblastoma cells transplanted onto chicken chorioallantoic membranes strongly reduced metastasis to embryonic bone marrow. Combined treatment of neuroblastoma cells with HDAC/DNA methyltransferase inhibitors synergistically induced CD9 expression despite hypoxic, metabolic or cytotoxic stress. Our results show CD9 is a critical and indirectly druggable suppressor of the invasion-metastasis cycle in neuroblastoma.
Fadavi Boostani, A, Tahamtan, S, Yazdani, S, Khosroshahi, RA, Wei, D, Sahamirad, H, Zhang, XM & Jiang, ZY 2016, 'Graphene tweaking Hamaker constant of SiC nanoparticles: A new horizon to solve the conflict between strengthening and toughening', Scripta Materialia, vol. 118, pp. 65-69.
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Fadavi Boostani, A, Taherzadeh Mousavian, R, Tahamtan, S, Yazdani, S, Azari Khosroshahi, R, Wei, D, Xu, J, Zhang, X & Jiang, ZY 2016, 'Solvothermal-assisted graphene encapsulation of SiC nanoparticles: A new horizon toward toughening aluminium matrix nanocomposites', Materials Science and Engineering: A, vol. 653, pp. 99-107.
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© 2015 Published by Elsevier B.V. Agglomeration of ceramic nanoparticles is a key challenge during manufacturing aluminium matrix composites in both solid and liquid methods. This study presents an innovative fabrication route to diminish the agglomeration of SiC nanoparticles using graphene encapsulating method stimulated by a solvothermal process. The produced SiC nanoparticles were then incorporated into A357 molten alloy using a liquid processing route. HRTEM investigations have shown the uniform distribution of SiC nanoparticles wrapped by onion-liked graphene shells within the matrix of composite, conferring 273% and 400% enhancement in yield strength and tensile ductility, respectively, compared to the unreinforced one. This is attributed to the manipulation of solidification mechanism of SiC nanoparticles from pushing to engulfment, ensued from imparting higher thermal conductivity to these particles by onion-liked graphene sheets. Fractographic observations have revealed the transgranular facture mode activated due to nano-void coalescence fracture mechanism in composites reinforced with graphene sheets associated with prolonged ductility. A devised analytical strengthening model has also demonstrated the profound efficacy of thermal activated dislocation mechanism in fortifying the matrix, brought about by the exceptional negative thermal expansion coefficient of graphene sheets.
Faed, A, Chang, E, Saberi, M, Hussain, OK & Azadeh, A 2016, 'Intelligent customer complaint handling utilising principal component and data envelopment analysis (PDA)', Applied Soft Computing, vol. 47, pp. 614-630.
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Fan, J, Zhang, J, Guo, W, Liang, S & Wu, H 2016, 'Enhanced long-term organics and nitrogen removal and associated microbial community in intermittently aerated subsurface flow constructed wetlands', Bioresource Technology, vol. 214, pp. 871-875.
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Fan, J, Zhang, J, Ngo, HH, Guo, W & Yin, X 2016, 'Improving low-temperature performance of surface flow constructed wetlands using Potamogeton crispus L. plant', Bioresource Technology, vol. 218, pp. 1257-1260.
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Fang, G, Orgun, MA, Shankaran, R, Dutkiewicz, E & Zheng, G 2016, 'Truthful Channel Sharing for Self Coexistence of Overlapping Medical Body Area Networks', PLOS ONE, vol. 11, no. 2, pp. e0148376-e0148376.
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As defined by IEEE 802.15.6 standard, channel sharing is a potential method to coordinate inter-network interference among Medical Body Area Networks (MBANs) that are close to one another. However, channel sharing opens up new vulnerabilities as selfish MBANs may manipulate their online channel requests to gain unfair advantage over others. In this paper, we address this issue by proposing a truthful online channel sharing algorithm and a companion protocol that allocates channel efficiently and truthfully by punishing MBANs for misreporting their channel request parameters such as time, duration and bid for the channel. We first present an online channel sharing scheme for unit-length channel requests and prove that it is truthful. We then generalize our model to settings with variable-length channel requests, where we propose a critical value based channel pricing and preemption scheme. A bid adjustment procedure prevents unbeneficial preemption by artificially raising the ongoing winner's bid controlled by a penalty factor λ. Our scheme can efficiently detect selfish behaviors by monitoring a trust parameter α of each MBAN and punish MBANs from cheating by suspending their requests. Our extensive simulation results show our scheme can achieve a total profit that is more than 85% of the offline optimum method in the typical MBAN settings.
Fang, J, Gao, Y, An, X, Sun, G, Chen, J & Li, Q 2016, 'Design of transversely-graded foam and wall thickness structures for crashworthiness criteria', Composites Part B: Engineering, vol. 92, pp. 338-349.
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Fang, J, Gao, Y, Sun, G, Xu, C & Li, Q 2016, 'Multiobjective sequential optimization for a vehicle door using hybrid materials tailor-welded structure', Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, vol. 230, no. 17, pp. 3092-3100.
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To achieve lightweight vehicle door, this paper presents a novel design with a hybrid material tailor-welded structure (HMTWS). A multiobjective optimization procedure is adopted to generate a set of solutions, in which the door stiffness and mass are taken as objective functions, and the material types and plate thicknesses are regarded as the discrete and continuous design variables, respectively. To improve the optimization efficiency, Kriging algorithm is used for generating surrogate model through a sequential sampling strategy. The non-dominated sorting genetic algorithm II (NSGA-II) is employed to perform the multiobjective optimization. It is found that for the same computational cost, the sequential sampling strategy can yield more accurate optimization results than the conventional one-step sampling strategy. Most importantly, HMTWS is found more competent than the traditional thin-walled configurations made of steel or other lighter mono-materials for maximizing the usage of materials and stiffness of the vehicular door structures.
Fanos, AM & Pradhan, B 2016, 'Multi-scenario Rockfall Hazard Assessment Using LiDAR Data and GIS', Geotechnical and Geological Engineering, vol. 34, no. 5, pp. 1375-1393.
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Fanos, AM, Pradhan, B, Aziz, AA, Jebur, MN & Park, H-J 2016, 'Assessment of multi-scenario rockfall hazard based on mechanical parameters using high-resolution airborne laser scanning data and GIS in a tropical area', Environmental Earth Sciences, vol. 75, no. 15, p. 1129.
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Farizal, F, Eka Septia, W, Rachman, A, Nasruddin, N & Indra Mahlia, TM 2016, 'Optimization of Electricity Generation Schemes in the Java-Bali Grid System with Co2 Reduction Consideration', Makara Journal of Technology, vol. 20, no. 2, pp. 49-49.
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Farley, J & Voinov, A 2016, 'Economics, socio-ecological resilience and ecosystem services', JOURNAL OF ENVIRONMENTAL MANAGEMENT, vol. 183, pp. 389-398.
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Farrok, O, Islam, MR, Islam Sheikh, MR, Guo, Y, Zhu, J & Xu, W 2016, 'A Novel Superconducting Magnet Excited Linear Generator for Wave Energy Conversion System', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-5.
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Farzan, P, Izadi, M, Gomes, C & Hesamian, M 2016, 'Malaysia solar energy experience: Intelligent fault location algorithm for unbalanced radial distribution network including PV systems', Journal of Renewable and Sustainable Energy, vol. 8, no. 4, pp. 045503-045503.
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Due to environmental issues and the upward trend of fossil fuel prices, the study of renewable energy (RE) based generation and their effects on the electrical system has become an important part of the government's energy policies and university projects. In RE generation, as solar photovoltaic (PV) systems are modular, silent, and transportable and demonstrate ease of installation, they have attracted a greater amount of attention specifically in those areas which receive considerable average solar radiation per day such as Malaysia. However, connecting solar PV farms to the grid like any other distributed generation (DG) units poses serious issues which arise in the distribution network. This paper presents a novel fault location algorithm based on the recording of short circuit power values at the primary substation of unbalanced radial distribution networks including PV systems. The recorded values are evaluated by a designed and tuned multi-layer feed forward neural network and the fault distances from the source are estimated accordingly. In order to highlight the accuracy of the presented method, the scenario is also repeated by recording the peak values of short circuit current which have been mostly used in the published intelligent fault location studies and the obtained results via two different values are compared with each other. The results reveal that the presented algorithm using a small scale input set is able to precisely locate different fault types in the unbalanced distribution networks including DG units.
Fauzi, H, Metselaar, HSC, Mahlia, TMI, Chyuan Ong, H, Nasruddin & Khanlou, HM 2016, 'Preparation and thermal characteristics of eutectic fatty acids/ Shorea javanica composite for thermal energy storage', Applied Thermal Engineering, vol. 100, pp. 62-67.
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In this study, two types of fatty acid based composite phase change material (CPCM) have been prepared by mixing-impregnation method. Myristic acid/palmitic acid/sodium palmitate (MA/PA/SP) and myristic acid/palmitic acid/sodium stearate (MA/PA/SS) were used as base eutectic PCMs and Shorea javanica (SJ) was used as a porous material to improve the thermal conductivity and thermal performance of CPCM. Thermal properties, thermal conductivity, and thermal stability of prepared CPCMs were measured using differential scanning calorimetry (DSC) thermal analysis, thermal conductivity analysis, and simultaneous thermal analyzer (STA). Furthermore, a chemical compatibility analysis has been done using Fourier transform infra-red spectrophotometer (FT-IR) and a fabricated test rig was used to determine thermal performance. It was seen that CPCMs with addition of 3 wt.% SJ presented a good improvement on thermal conductivity without any significant effect on thermal properties. No chemical reaction between initial eutectic fatty acids and SJ occurred as evidenced by FT-IR and CPCMs show a good thermal stability as well. Therefore, it is concluded that addition of Shorea javanica (SJ) into fatty acid eutectic CPCMs is appropriate to improve the thermal performance of CPCM and it can be acceptable for use as porous material for other PCMs.
Ferguson, C, Hickman, LD, Lal, S, Newton, PJ, Kneebone, II, McGowan, S & Middleton, S 2016, 'Addressing the stroke evidence-treatment gap', Contemporary Nurse, vol. 52, no. 2-3, pp. 253-257.
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Flynn, A, Dwight, T, Harris, J, Benn, D, Zhou, L, Hogg, A, Catchpoole, D, James, P, Duncan, EL, Trainer, A, Gill, AJ, Clifton-Bligh, R, Hicks, RJ & Tothill, RW 2016, 'Pheo-Type: A Diagnostic Gene-expression Assay for the Classification of Pheochromocytoma and Paraganglioma', The Journal of Clinical Endocrinology & Metabolism, vol. 101, no. 3, pp. 1034-1043.
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Abstract Context: Pheochromocytomas and paragangliomas (PPGLs) are heritable neoplasms that can be classified into gene-expression subtypes corresponding to their underlying specific genetic drivers. Objective: This study aimed to develop a diagnostic and research tool (Pheo-type) capable of classifying PPGL tumors into gene-expression subtypes that could be used to guide and interpret genetic testing, determine surveillance programs, and aid in elucidation of PPGL biology. Design: A compendium of published microarray data representing 205 PPGL tumors was used for the selection of subtype-specific genes that were then translated to the Nanostring gene-expression platform. A support vector machine was trained on the microarray dataset and then tested on an independent Nanostring dataset representing 38 familial and sporadic cases of PPGL of known genotype (RET, NF1, TMEM127, MAX, HRAS, VHL, and SDHx). Different classifier models involving between three and six subtypes were compared for their discrimination potential. Results: A gene set of 46 genes and six endogenous controls was selected representing six known PPGL subtypes; RTK1–3 (RET, NF1, TMEM127, and HRAS), MAX-like, VHL, and SDHx. Of 38 test cases, 34 (90%) were correctly predicted to six subtypes based on the known genotype to gene-expression subtype association. Removal of the RTK2 subtype from training, characterized by an admixture of tumor and normal adrenal cortex, improved the classific...
Forman, LV, Bland, PA, Timms, NE, Collins, GS, Davison, TM, Ciesla, FJ, Benedix, GK, Daly, L, Trimby, PW, Yang, L & Ringer, SP 2016, 'Hidden secrets of deformation: Impact-induced compaction within a CV chondrite', Earth and Planetary Science Letters, vol. 452, pp. 133-145.
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Forouzesh, M, Siwakoti, YP, Blaabjerg, F & Hasanpour, S 2016, 'Small-Signal Modeling and Comprehensive Analysis of Magnetically Coupled Impedance-Source Converters', IEEE Transactions on Power Electronics, vol. 31, no. 11, pp. 7621-7641.
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Foster, SJ, Stewart, MG, Loo, M, Ahammed, M & Sirivivatnanon, V 2016, 'Calibration of Australian Standard AS3600 Concrete Structures: part I statistical analysis of material properties and model error', Australian Journal of Structural Engineering, vol. 17, no. 4, pp. 242-253.
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© 2016 Engineers Australia. Assessment of the reliability of design models developed for Australian Standards is of paramount importance for determination of public safety. Poorly calibrated models and safety factors can lead to overly safe and uneconomic construction or, worse, to an insufficient level of safety. This study investigates the reliability of the models used in the Australian Concrete Structures Standard AS3600–2009 for the design of beams and slabs in bending and shear and columns under combined bending and axial loading. The study is in two parts; in Part I, strength and variability of over 20,000 concrete cylinders cured under standard conditions and tested at 28 days are statistically analysed. The data were collected from all cities and regional areas in Australia and for all concrete strength grades; similarly, variability of reinforcement product is analysed. Next, reliable databases of laboratory tests for beams, slabs and columns were established for members failing in flexure, shear and compression and model errors, and their variability, determined for the code design models. It is concluded that improvements in the production of concrete and of bar products, over time, have led to reduced variability in their materials properties–with potential for increasing code strength reduction factors and, thus, reducing excessive conservatism in design. This is assessed in Part II of this study.
Frawley, JK, Dyson, LE, Wakefield, J & Tyler, J 2016, 'Supporting Graduate Attribute Development in Introductory Accounting with Student-Generated Screencasts', International Journal of Mobile and Blended Learning (IJMBL), vol. 8, no. 3, pp. 65-82.
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In recent years educational, industry and government bodies have placed increasing emphasis on the need to better support the development of “soft” skills or graduate attributes within higher education. This paper details the adoption of a student-generated multimedia screencast assignment that was found to address this need. Implemented within a large introductory accounting subject, this optional assignment allowed undergraduate students to design, develop and record a screencast so as to explain a key accounting concept to their peers. This paper reports on the trial, evaluation and redesign of this assignment. Drawing on data from student surveys, practitioner reflections and descriptive analysis of the screencasts themselves, this paper demonstrates the ways that the assignment contributed to the development and expression of a number of graduate attributes. These included the students' skills in multimedia, creativity, teamwork and self-directed learning. Adopting free-to-use software and providing a fun and different way of learning accounting, this novel approach constitutes a sustainable and readily replicable way of supporting graduate attribute development. This paper contributes understandings that will be relevant to both researchers and practitioners.
Frost, SA & Nguyen, TV 2016, 'Uncertain effects of calcium and vitamin D supplementation on fracture risk reduction', Osteoporosis International, vol. 27, no. 8, pp. 2647-2648.
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Fu, Q, Kim, J, Gurr, PA, Scofield, JMP, Kentish, SE & Qiao, GG 2016, 'A novel cross-linked nano-coating for carbon dioxide capture', Energy & Environmental Science, vol. 9, no. 2, pp. 434-440.
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Defect-free and cross-linked ultra-thin (sub 100 nm) film composite membranes have been prepared. The membrane materials formed exhibited significantly high CO2 permeances of over 1200 GPU as well as excellent CO2/N2 selectivity of over 40.
Fu, Q, McKenzie, TG, Ren, JM, Tan, S, Nam, E & Qiao, GG 2016, 'A novel solid state photocatalyst for living radical polymerization under UV irradiation', Scientific Reports, vol. 6, no. 1, p. 20779.
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AbstractThis study presents the development of a novel solid state photocatalyst for the photoinduced controlled radical polymerization of methacrylates under mild UV irradiation (λmax ≈ 365 nm) in the absence of conventional photoinitiators, metal-catalysts or dye sensitizers. The photocatalyst design was based on our previous finding that organic amines can act in a synergistic photochemical reaction with thiocarbonylthio compounds to afford well controlled polymethacrylates under UV irradiation. Therefore, in the current contribution an amine-rich polymer was covalently grafted onto a solid substrate, thus creating a heterogeneous catalyst that would allow for facile removal, recovery and recyclability when employed for such photopolymerization reactions. Importantly, the polymethacrylates synthesized using the solid state photocatalyst (ssPC) show similarly excellent chemical and structural integrity as those catalysed by free amines. Moreover, the ssPC could be readily recovered and re-used, with multiple cycles of polymerization showing minimal effect on the integrity of the catalyst. Finally, the ssPC was employed in various photo-“click” reactions, permitting high yielding conjugations under photochemical control.
Fu, Q, Xie, K, Tan, S, Ren, JM, Zhao, Q, Webley, PA & Qiao, GG 2016, 'The use of reduced copper metal–organic frameworks to facilitate CuAAC click chemistry', Chemical Communications, vol. 52, no. 82, pp. 12226-12229.
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A reduced copper metal–organic framework (rCu-MOF) containing CuI ions was prepared and employed as a catalyst for ‘Click’ reactions. The rCu-MOF presents higher catalytic activity, good structural stability as well as facile recyclability compared to traditional copper halide catalysts.
Fujioka, T, Takeuchi, H, Tanaka, H, Nghiem, LD, Ishida, KP & Kodamatani, H 2016, 'A rapid and reliable technique for N -nitrosodimethylamine analysis in reclaimed water by HPLC-photochemical reaction-chemiluminescence', Chemosphere, vol. 161, pp. 104-111.
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Gan, C, Yang, Y, Zhu, L, Zhao, D & Zhuang, Y 2016, 'Recognizing an Action Using Its Name: A Knowledge-Based Approach', International Journal of Computer Vision, vol. 120, no. 1, pp. 61-77.
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© 2016, Springer Science+Business Media New York. Existing action recognition algorithms require a set of positive exemplars to train a classifier for each action. However, the amount of action classes is very large and the users’ queries vary dramatically. It is impractical to pre-define all possible action classes beforehand. To address this issue, we propose to perform action recognition with no positive exemplars, which is often known as the zero-shot learning. Current zero-shot learning paradigms usually train a series of attribute classifiers and then recognize the target actions based on the attribute representation. To ensure the maximum coverage of ad-hoc action classes, the attribute-based approaches require large numbers of reliable and accurate attribute classifiers, which are often unavailable in the real world. In this paper, we propose an approach that merely takes an action name as the input to recognize the action of interest without any pre-trained attribute classifiers and positive exemplars. Given an action name, we first build an analogy pool according to an external ontology, and each action in the analogy pool is related to the target action at different levels. The correlation information inferred from the external ontology may be noisy. We then propose an algorithm, namely adaptive multi-model rank-preserving mapping (AMRM), to train a classifier for action recognition, which is able to evaluate the relatedness of each video in the analogy pool adaptively. As multiple mapping models are employed, our algorithm has better capability to bridge the gap between visual features and the semantic information inferred from the ontology. Extensive experiments demonstrate that our method achieves the promising performance for action recognition only using action names, while no attributes and positive exemplars are available.
Gandomi, AH, Sajedi, S, Kiani, B & Huang, Q 2016, 'Genetic programming for experimental big data mining: A case study on concrete creep formulation', Automation in Construction, vol. 70, pp. 89-97.
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This paper proposes a new algorithm called multi-objective genetic programming (MOGP) for complex civil engineering systems. The proposed technique effectively combines the model structure selection ability of a standard genetic programming with the parameter estimation power of classical regression, and it simultaneously optimizes both the complexity and goodness-of-fit in a system through a non-dominated sorting algorithm. The performance of MOGP is illustrated by modeling a complex civil engineering problem: the time-dependent total creep of concrete. A Big Data is used for the model development so that the proposed concrete creep model—referred to as a “genetic programming based creep model” or “G-C model” in this study—is valid for both normal and high strength concrete with a wide range of structural properties. The G-C model is then compared with currently accepted creep prediction models. The G-C model obtained by MOGP is simple, straightforward to use, and provides more accurate predictions than other prediction models.
Gandomi, AH, Yang, XS, Alavi, AH & Wang, GG 2016, 'A new hybrid method based on krill herd and cuckoo search for global optimisation tasks', International Journal of Bio-Inspired Computation, vol. 8, no. 5, pp. 286-286.
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Gandomi, M, Soltanpour, M, Zolfaghari, MR & Gandomi, AH 2016, 'Prediction of peak ground acceleration of Iran's tectonic regions using a hybrid soft computing technique', Geoscience Frontiers, vol. 7, no. 1, pp. 75-82.
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A new model is derived to predict the peak ground acceleration (PGA) utilizing a hybrid method coupling artificial neural network (ANN) and simulated annealing (SA), called SA-ANN. The proposed model relates PGA to earthquake source to site distance, earthquake magnitude, average shear-wave velocity, faulting mechanisms, and focal depth. A database of strong ground-motion recordings of 36 earthquakes, which happened in Iran's tectonic regions, is used to establish the model. For more validity verification, the SA-ANN model is employed to predict the PGA of a part of the database beyond the training data domain. The proposed SA-ANN model is compared with the simple ANN in addition to 10 well-known models proposed in the literature. The proposed model performance is superior to the single ANN and other existing attenuation models. The SA-ANN model is highly correlated to the actual records (R = 0.835 and ρ = 0.0908) and it is subsequently converted into a tractable design equation.
Gao, C, Huang, L, Yan, L, Kasal, B & Li, W 2016, 'Behavior of glass and carbon FRP tube encased recycled aggregate concrete with recycled clay brick aggregate', Composite Structures, vol. 155, pp. 245-254.
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© 2016 Elsevier Ltd In literature, there are few studies which investigated compressive behavior of fibre reinforced polymer (FRP) tube confined recycled aggregate concrete (RAC) where the recycled aggregates (RAs) mainly came from demolished old concrete components. Study which considered FRP tube confined RAC using recycled clay brick aggregates (RCBA) originating from demolished brick masonry components is rare. Thus, this paper reports a systematic study on axial compressive behavior of FRP tube encased RAC containing RCBA (termed as FRP-confined RAC-RCBA). The experimental variables considered are, i.e., replacement ratio of RCBA (r = 0, 50, 70 and 100%), FRP tube thickness (nf=2, 4 and 6 layers) and type of fibre material (GFRP and CFRP). This study shows that both GFRP and CFRP tubes enhanced strength and deformation of the confined RAC-RCBA specimens remarkably. The ultimate compressive stress of the confined specimens decreased with an increase of RCBA replacement ratio but their axial deformation kept approximately constant. Failure mode and the compressive stress-strain behavior of G/CFRP-confined RAC-RCBA were similar to these tube confined normal aggregate concrete (NAC) and the ultimate compressive strength of G/CFRP tube confined RAC-RCBA specimens enhanced with an increase in FRP tube thickness. The CFRP-confined specimens showed higher ultimate strength but lower ultimate axial strain than those of GFRP-confined specimens. The applicability of eight widely used confinement models, i.e., 5 design-oriented and 2 analysis-oriented models, for FRP-confined NAC to FRP-confined RAC-RCBA was also evaluated.
Gao, C, Liu, X, Liu, J, Guo, Y & Chen, Z 2016, 'Multilevel converter with capacitor voltage actively balanced using reduced number of voltage sensors for high power applications', IET Power Electronics, vol. 9, no. 7, pp. 1462-1473.
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© The Institution of Engineering and Technology. Capacitor voltage balance control has attracted increasing attention in the studies of cascaded multilevel converters and modular multilevel converters. This study proposes a novel multilevel converter topology based on diode clamped half-bridge cascaded converter for medium/high voltage and high power applications. In this converter, capacitor voltage balancing using clamping diodes is achieved. Thus very little capacitor voltage control code has to be executed by the digital controller. Furthermore, only two voltage sensors are required for the capacitor voltage control, and the control scheme can be designed as simple as that of a two-level converter. The phase shifted pulse width modulation (PWM) method is employed for the converter, and a control strategy for the converter utilised as a static Var generator is presented. The proposed converter and control strategy were simulated with PSIM. Experiments were also carried out with a laboratory prototype. Results showed that the proposed converter topology with capacitor voltage balancing could work effectively. The applied PWM and control method were also validated.
Gao, S, Duan, L & Tsang, IW 2016, 'DEFEATnet—A Deep Conventional Image Representation for Image Classification', IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 3, pp. 494-505.
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Gao, S-H, Peng, L, Liu, Y, Zhou, X, Ni, B-J, Bond, PL, Liang, B & Wang, A-J 2016, 'Bioelectrochemical reduction of an azo dye by a Shewanella oneidensis MR-1 formed biocathode', International Biodeterioration & Biodegradation, vol. 115, pp. 250-256.
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© 2016 Elsevier Ltd Presently there is great interest to develop pure culture cathodes in bioelectrochemical systems (BES) for achieving decolorization/reduction of azo dyes. In this study, we investigated the decolorization of a model azo dye, acid orange 7 (AO7) in a biocathode inoculated with a model electrogenic microorganism Shewanella oneidensis MR-1 (MR-1). The decolorization efficiency of AO7 reached 95.8 ± 4.6%, 86.4 ± 2.0%, and 77.8 ± 1.0% in 46 h in the biocathode fed with lactate, in the biocathode without lactate, and in the abiotic cathode respectively. Thus, enhanced decolorization of AO7 occurred in the biocathode, compared to the abiotic cathode, regardless of the presence of lactate. To further investigate the AO7 reduction mechanism and electron transfer between the electrode and S. oneidensis, the cathode potential was controlled such that hydrogen was not produced. In the absence of lactate, the AO7 decolorization efficiency (78.5 ± 0.8%) and sulfanilic acid (SA) production efficiency (70.9 ± 1.5%) in the biocathode were higher than the AO7 decolorization efficiency (63.7 ± 3.6%) and the SA production (56.1 ± 1.9%) efficiency in the abiotic cathode. This suggests that the reduction of AO7, with electrode as the sole electron donor, was enhanced by electron transfer between the cathode and the S. oneidensis formed biofilm on the cathode surface. This study demonstrated that S. oneidensis enhanced the capture of electrons from the cathode electrode for the reduction of the organic pollutant AO7.
Gao, T, Chen, R, Wang, X, Ngo, HH, Li, Y-Y, Zhou, J & Zhang, L 2016, 'Application of disease burden to quantitative assessment of health hazards for a decentralized water reuse system', Science of The Total Environment, vol. 551-552, pp. 83-91.
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© 2016 Elsevier B.V. The aim of this article is to introduce the methodology of disease burden (DB) to quantify the health impact of microbial regrowth during wastewater reuse, using the case study of a decentralized water reuse system in Xi'an Si-yuan University, located in Xi'an, China. Based on field investigation findings, Escherichia coli (E. coli), Salmonella and rotavirus were selected as typical regrowth pathogens causing potential health hazards during the reuse of reclaimed water. Subsequently, major exposure routes including sprinkler irrigation, landscape fountains and toilet flushing were identified. Mathematical models were established to build the relationship between exposure dose and disease burden by calculating the disability adjusted life year (DALY). Results of disease burden for this case study show that DALYs attributed to E. coli were significantly greater than those caused by other pathogens, and DALYs associated with sprinkler irrigation were higher than those originating from other routes. A correlation between exposure dose and disease was obtained by introducing a modified calculation of morbidity, which can extend the assessment endpoint of health risk to disease burden from the conventional infection rate.
Garcia, JA, Schoene, D, Lord, SR, Delbaere, K, Valenzuela, T & Navarro, KF 2016, 'A Bespoke Kinect Stepping Exergame for Improving Physical and Cognitive Function in Older People: A Pilot Study', Games for Health Journal, vol. 5, no. 6, pp. 382-388.
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© 2016 Mary Ann Liebert, Inc. Background: Systematic review evidence has shown that step training reduces the number of falls in older people by half. This study investigated the feasibility and effectiveness of a bespoke Kinect stepping exergame in an unsupervised home-based setting. Materials and Methods: An uncontrolled pilot trial was conducted in 12 community-dwelling older adults (mean age 79.3 ± 8.7 years, 10 females). The stepping game comprised rapid stepping, attention, and response inhibition. Participants were recommended to exercise unsupervised at home for a minimum of three 20-minute sessions per week over the 12-week study period. The outcome measures were choice stepping reaction time (CSRT) (main outcome measure), standing balance, gait speed, five-time sit-to-stand (STS), timed up and go (TUG) performance, and neuropsychological function (attention: letter-digit and executive function:Stroop tests) assessed at baseline, 4 weeks, 8 weeks, and trial end (12 weeks). Results: Ten participants (83%) completed the trial and reassessments. A median 8.2 20-minute sessions were completed and no adverse events were reported. Across the trial period, participants showed significant improvements in CSRT (11%), TUG (13%), gait speed (29%), standing balance (7%), and STS (24%) performance (all P < 0.05). There were also nonsignificant, but meaningful, improvements for the letter-digit (13%) and Stroop tests (15%). Conclusions: This study found that a bespoke Kinect step training program was safe and feasible for older people to undertake unsupervised at home and led to improvements in stepping, standing balance, gait speed, and mobility. The home-based step training program could therefore be included in exercise programs designed to prevent falls.
Gardner, A & Willey, K 2016, 'Framing the academic identity of emerging researchers in engineering education', International Journal of Engineering Education, vol. 32, no. 6, pp. 2332-2351.
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Our research investigates the developing academic identity of engineering academics within the Australasian Association for Engineering Education (AAEE) community. This paper draws on data from interviews with nine 'emerging' authors with a first degree in engineering, from three types of Australian universities where they discuss their 2012 AAEE conference paper and the peer reviews of their paper. Identity-trajectory was used to analyse interview transcripts by focussing on the various elements of this framework of academic identity development. The findings and discussion focus on those aspects of the reviews and the authors' circumstances that appear to either enable or constrain their development as engineering education researchers. The study finds that authors belonging to a discipline-based educational research group made substantial changes to their papers before final submission and we argue that these research groups support these authors in developing their academic identity as an engineering education researcher.
Gentile, C 2016, 'Filling the Gaps between the In Vivo and In Vitro Microenvironment: Engineering of Spheroids for Stem Cell Technology', Current Stem Cell Research & Therapy, vol. 11, no. 8, pp. 652-665.
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Engineering of in vitro three-dimensional cultures of stem cells and their progenies has offered promising alternatives to recapitulate the in vivo microenvironment, or stem cell niche, and has provided more specific cues for proper stem cell differentiation, maintenance and culture. In particular, tissue spheroids are cellular aggregates with defined cellular and extracellular features and have provided optimal conditions for stem cell technology, both in culture and for potential engraftment. Recent studies have focused on spheroid formation and the developmental roles played by cellular and extracellular signals necessary for cellular aggegation into spheroids. This review will provide insights into the factors that regulate in vitro spheroid formation by comparing them with their developmental counterparts in vivo. At the same time, we will identify cellular and extracellular signals that could be used to bioengineer spheroids with improved features according to their application. Finally, this review will provide an overview of the applications to date of spheroid cultures of stem cells and their progenies, providing insights for future studies.
George, L, Gargiulo, GD, Lehmann, T & Hamilton, TJ 2016, 'A 0.04 mm Buck-Boost DC-DC Converter for Biomedical Implants Using Adaptive Gain and Discrete Frequency Scaling Control', IEEE Transactions on Biomedical Circuits and Systems, vol. 10, no. 3, pp. 668-678.
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© 2015 IEEE. This paper presents the design of a reconfigurable buck-boost switched-capacitor DC-DC converter suitable for use in a wide range of biomedical implants. The proposed converter has an extremely small footprint and uses a novel control method that allows coarse and fine control of the output voltage. The converter uses adaptive gain control, discrete frequency scaling and pulse-skipping schemes to regulate the power delivered to a range of output voltages and loads. Adaptive gain control is used to implement variable switching gain ratios from a reconfigurable power stage and thereby make coarse steps in output voltage. A discrete frequency scaling controller makes discrete changes in switching frequency to vary the power delivered to the load and perform fine tuning when the output voltage is within 10% of the target output voltage. The control architecture is predominately digital and it has been implemented as part of a fully-integrated switched-capacitor converter design using a standard bulk CMOS 0.18 μm process. Measured results show that the converter has an output voltage range of 1.0 to 2.2 V, can deliver up to 7.5 mW of load power and efficiency up to 75% using an active area of only 0.04 mm2, which is significantly smaller than that of other designs. This low-area, low-complexity reconfigurable power converter can support low-power circuits in biomedical implant applications.
Gerami, A, Mostaghimi, P, Armstrong, RT, Zamani, A & Warkiani, ME 2016, 'A microfluidic framework for studying relative permeability in coal', International Journal of Coal Geology, vol. 159, pp. 183-193.
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A significant unconventional energy resource is methane gas stored in shallow coal beds, known as coal seam gas. The flow and transport of fluid in coal beds occur in a well-developed system of natural fractures, called cleats. In this study, we developed an efficient workflow for the fabrication of microfluidic chips based on X-ray micro-Computed Tomography (micro-CT) images of coal. A dry and wet micro-CT imaging technique is utilized to image coal cleats that would be otherwise non-resolvable. The obtained image of the cleat network is then etched into silicon wafers and used to fabricate poly dimethyl siloxane (PDMS) microfluidic devices. Fluid transport and displacement efficiency are visualized and quantified in real time by injecting water with a flow rate of 1 μl min-1 into the fabricated cleat structure initially saturated with air. A microfluidic approach is used to measure the relative permeability of a realistic coal cleat system by monitoring the liquid recovery at recorded saturations after the breakthrough. Relative permeability curves show the cross and end point values for the water and gas flow, and predict a maximum relative permeability of 0.15 for the water phase. Understanding the relationship between coal cleat structure and the resulting relative permeability is crucial for the optimization of methane gas extraction and to reduce the environmental concerns of excess surface water production. Also, pore network modelling based on the Maximal Ball (MB) concept is applied to predict relative permeability curves numerically. Our experimental results are in good agreement with pore network modelling outcomes and provide consistent and smooth macro-scale relationships along with direct observation of the pore-scale physics. Therefore not only can the microfluidic approach be used as a validation tool for multiphase flow numerical models but it can also provide direct visualization of transport properties unique to coals. Overall, our d...
Ghasemi, M, Aghaei, J, Akbari, E, Ghavidel, S & Li, L 2016, 'A differential evolution particle swarm optimizer for various types of multi-area economic dispatch problems', Energy, vol. 107, pp. 182-195.
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© 2016 Elsevier Ltd. This paper proposes a new, efficient and powerful heuristic-hybrid algorithm using hybrid DE (differential evolution) and PSO (particle swarm optimization) techniques DEPSO (differential evolution particle swarm optimization) designed to solve eight optimization problems with benchmark functions and the MAED (multi-area economic dispatch), RCMAED (reserve constrained MAED) and RCMAEED (reserve constrained multi area environmental/economic dispatch) problems with reserve sharing in power system operations. The proposed hybridizing sum-local search optimizer, entitled HSLSO, is a relatively simple but powerful technique. The HSLSO algorithm is used in this study for solving different MAED problems with non-smooth cost function. The effectiveness and efficiency of the HSLSO algorithm is first tested on a number of benchmark test functions. Experimental results showe the HSLSO has a better quality solution with the ability to converge for most of the tested functions.
Gholami, MF, Daneshgar, F, Low, G & Beydoun, G 2016, 'Cloud migration process-A survey, evaluation framework, and open challenges', JOURNAL OF SYSTEMS AND SOFTWARE, vol. 120, pp. 31-69.
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Ghosh, B, Fatahi, B & Khabbaz, H 2016, 'Mechanical Model to Analyse Multilayer Geosynthetic Reinforced Granular Layer in Column Supported Embankments', ADVANCES IN TRANSPORTATION GEOTECHNICS III, vol. 143, pp. 387-394.
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© 2016 The Authors. Published by Elsevier B.V. The objective of this paper is to develop a mechanical model to predict the behaviour of a multilayer geosynthetic reinforced granular fill soft soil system improved with controlled modulus columns beneath the embankment. Deformation of geosynthetics embedded granular layer due to bending and shear is considered in this study. Therefore, geosynthetic reinforced granular fill has been idealised as a reinforced Timoshenko beam while the columns and the soft soil have been idealised as a layer of linear springs with varied stiffness. Plane strain conditions are considered for the loading and reinforced foundation soil system. Tension developed in the geosynthetics, rotation and settlements of the improved soft ground are predicted using the proposed model. This study shows the effects of multilayer geosynthetics on the settlement response of the granular layer. A notable reduction of the settlement has been observed as a result of the using multilayer weaker geosynthetic reinforcement system when compare to one stronger geosynthetics layer. It is also observed that the top reinforcement layer is subjected to maximum mobilised tension at the column edge whereas bottom reinforcement layer is more effective in controlling the deflection in the middle of two columns.
Ghosh, S, Feng, M, Nguyen, H & Li, J 2016, 'Hypotension Risk Prediction via Sequential Contrast Patterns of ICU Blood Pressure', IEEE Journal of Biomedical and Health Informatics, vol. 20, no. 5, pp. 1416-1426.
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© 2013 IEEE. Acute hypotension is a significant risk factor for in-hospital mortality at intensive care units. Prolonged hypotension can cause tissue hypoperfusion, leading to cellular dysfunction and severe injuries to multiple organs. Prompt medical interventions are thus extremely important for dealing with acute hypotensive episodes (AHE). Population level prognostic scoring systems for risk stratification of patients are suboptimal in such scenarios. However, the design of an efficient risk prediction system can significantly help in the identification of critical care patients, who are at risk of developing an AHE within a future time span. Toward this objective, a pattern mining algorithm is employed to extract informative sequential contrast patterns from hemodynamic data, for the prediction of hypotensive episodes. The hypotensive and normotensive patient groups are extracted from the MIMIC-II critical care research database, following an appropriate clinical inclusion criteria. The proposed method consists of a data preprocessing step to convert the blood pressure time series into symbolic sequences, using a symbolic aggregate approximation algorithm. Then, distinguishing subsequences are identified using the sequential contrast mining algorithm. These subsequences are used to predict the occurrence of an AHE in a future time window separated by a user-defined gap interval. Results indicate that the method performs well in terms of the prediction performance as well as in the generation of sequential patterns of clinical significance. Hence, the novelty of sequential patterns is in their usefulness as potential physiological biomarkers for building optimal patient risk stratification systems and for further clinical investigation of interesting patterns in critical care patients.
Gill, AQ, Phennel, N, Lane, D & Phung, VL 2016, 'IoT-enabled emergency information supply chain architecture for elderly people: The Australian context.', Inf. Syst., vol. 58, pp. 75-86.
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© 2016 Elsevier Ltd. All rights reserved. The effective delivery of emergency information to elderly people is a challenging task. Failure to deliver appropriate information can have an adverse impact on the well-being of the elderly people. This paper addresses this challenge and proposes an IoT-enabled information architecture driven approach, which is called 'Resalert'. Resalert offers IoT-enabled emergency information supply chain architecture pattern, IoT device architecture and system architecture. The applicability of the Resalert is evaluated by the means of an example scenario, a portable Raspberry Pi based system prototype and user evaluation. The results of this research indicate that the proposed approach seems useful to the effective delivery of emergency information to elderly people.
Giwa, A, Akther, N, Dufour, V & Hasan, SW 2016, 'A critical review on recent polymeric and nano-enhanced membranes for reverse osmosis', RSC Advances, vol. 6, no. 10, pp. 8134-8163.
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Current and recent advances in polymeric and nano-enhanced membrane developments for reverse osmosis are reported in terms of membrane performance and fouling.
Giwa, A, Akther, N, Housani, AA, Haris, S & Hasan, SW 2016, 'Recent advances in humidification dehumidification (HDH) desalination processes: Improved designs and productivity', Renewable and Sustainable Energy Reviews, vol. 57, pp. 929-944.
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© 2015 Elsevier Ltd. All rights reserved. One of the innovative methods for decentralized low-scale purification of water is the humidification dehumidification (HDH) desalination technology. Many research activities have been carried out recently with the aim of improving this technology. The economic and environmental benefits of the HDH technology are enormous including feasibility of being powered by sustainable energy sources such as solar and geothermal, ability to operate at low temperature, low maintenance requirements, and simple construction needs. The principal HDH components, latest research on HDH systems driven by renewable energy, and recent innovations on HDH design for sustainable water production are discussed in this paper. It is worth noting that the development of the key features and sustainability aspects of HDH desalination technology are still under research and more improvements are needed to optimize process performance parameters in terms of quantity of water produced, specific renewable energy required, and specific cost of water produced. However, HDH technology has been proven to be an inexpensive and reliable desalination system in terms of environmental friendliness for small scale applications.
Goldsmith, R & Willey, K 2016, ''It's not my job to teach writing': Activity theory analysis of [invisible] writing practices in the engineering curriculum', JOURNAL OF ACADEMIC LANGUAGE AND LEARNING, vol. 10, no. 1, pp. A118-A129.
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Although writing is still the main form of assessment at university, the prac-tice of writing continues to be marginalised, particularly in technical disci-plines such as engineering, notwithstanding decades of reports identifying gaps in graduate communication abilities in these fields, and diverse inter-ventions to address these gaps. The assumption underlying many of the re-ports and interventions is that engineering students neither value nor are in-terested in writing, but actually many engineering students are not provided with the opportunity to develop or practise disciplinary writing in the sub-jects they study, despite being required to write in a range of genres as part of their assessment. This implies that writing practices are neither seen as developmental nor as intrinsic to the engineering curriculum. This demands the question: why not? This paper reports on a study investigating percep-tions of writing practices in the engineering curriculum at the level of engi-neering academics. Using activity theory to capture the dynamic interactions of the various participants in engineering subjects, the study analyses the perspectives of engineering subject coordinators about writing practices in their subjects through interviews and documents. Current findings show ten-sions between the value of propositional or technical knowledge and that of writing practices. These findings can be used to develop a discussion with engineering academics to emphasise the developmental nature of writing and to make writing practices more visible in the engineering curriculum.
Golsorkhi, MS & Lu, DD-C 2016, 'A Decentralized Control Method for Islanded Microgrids Under Unbalanced Conditions', IEEE Transactions on Power Delivery, vol. 31, no. 3, pp. 1112-1121.
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© 1986-2012 IEEE. Unbalanced load currents not only give rise to unbalanced voltages but also adversely affect the performance of the conventional current-limiting mechanisms. The latter might result in overcurrent stress on the distributed energy resources (DERs) or current harmonics. In this paper, a novel decentralized control method is proposed to improve the power quality and protect DERs from overload. The proposed controller makes use of the model predictive control (MPC) technique to minimize the voltage unbalance, improve current limiting, and prevent active power overload. The MPC is combined with the V-I droop method to realize coordinated operation with fast dynamic response. The proposed method is tested on the CIGRE benchmark microgrid. Simulation results demonstrate that the proposed method improves power quality but also allows for operation close to the maximum load capacity without imposing DERs to overload.
Gong, C, Tao, D, Maybank, SJ, Liu, W, Kang, G & Yang, J 2016, 'Multi-Modal Curriculum Learning for Semi-Supervised Image Classification', IEEE TRANSACTIONS ON IMAGE PROCESSING, vol. 25, no. 7, pp. 3249-3260.
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© 1992-2012 IEEE. Semi-supervised image classification aims to classify a large quantity of unlabeled images by typically harnessing scarce labeled images. Existing semi-supervised methods often suffer from inadequate classification accuracy when encountering difficult yet critical images, such as outliers, because they treat all unlabeled images equally and conduct classifications in an imperfectly ordered sequence. In this paper, we employ the curriculum learning methodology by investigating the difficulty of classifying every unlabeled image. The reliability and the discriminability of these unlabeled images are particularly investigated for evaluating their difficulty. As a result, an optimized image sequence is generated during the iterative propagations, and the unlabeled images are logically classified from simple to difficult. Furthermore, since images are usually characterized by multiple visual feature descriptors, we associate each kind of features with a teacher, and design a multi-modal curriculum learning (MMCL) strategy to integrate the information from different feature modalities. In each propagation, each teacher analyzes the difficulties of the currently unlabeled images from its own modality viewpoint. A consensus is subsequently reached among all the teachers, determining the currently simplest images (i.e., a curriculum), which are to be reliably classified by the multi-modal learner. This well-organized propagation process leveraging multiple teachers and one learner enables our MMCL to outperform five state-of-the-art methods on eight popular image data sets.
González, LO, Rodríguez Gil, LI, Martorell Cunill, O & Merigó Lindahl, JM 2016, 'The effect of financial innovation on European banks' risk', Journal of Business Research, vol. 69, no. 11, pp. 4781-4786.
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© 2016 Elsevier Inc. This study examines the effect of the use of securitization and credit derivatives on the risk profile of European banks. Using information from 134 listed European banks during the period of 2006–2010, the results show that securitization and trading with credit derivatives have a negative effect on financial stability. The main findings also show the dominance of trading positions over hedging positions for credit derivatives. The results of this study support the higher capital requirements of the new Basel III international banking regulations. Furthermore, accounting measures do not readily indicate market risks, and thus the results support central banks’ use of market-solvency measures to monitor financial stability.
Gopinadhan, M, Choo, Y & Osuji, CO 2016, 'Strong Orientational Coupling of Block Copolymer Microdomains to Smectic Layering Revealed by Magnetic Field Alignment', ACS Macro Letters, vol. 5, no. 3, pp. 292-296.
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Gourlay, ML, Overman, RA, Fine, JP, Filteau, G, Cawthon, PM, Schousboe, JT, Orwoll, ES, Wilt, TJ, Nguyen, TV, Lane, NE, Szulc, P, Taylor, BC, Dam, T-T, Nielson, CM, Cauley, JA, Barrett-Connor, E, Fink, HA, Lapidus, JA, Kado, DM, Diem, SJ & Ensrud, KE 2016, 'Time to Osteoporosis and Major Fracture in Older Men', American Journal of Preventive Medicine, vol. 50, no. 6, pp. 727-736.
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© 2016 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved. Introduction For older men who undergo bone mineral density (BMD) testing, the optimal osteoporosis screening schedule is unknown. Time-to-disease estimates are necessary to inform screening intervals. Methods A prospective cohort study of 5,415 community-dwelling men aged ≥65 years without hip or clinical vertebral fracture or antifracture treatment at baseline was conducted. Participants had concurrent BMD and fracture follow-up between 2000 and 2009, and additional fracture follow-up through 2014. Data were analyzed in 2015. Time to incident osteoporosis (lowest T-score ≤ -2.50) for men without baseline osteoporosis, and time to hip or clinical vertebral fracture or major osteoporotic fracture for men without or with baseline osteoporosis, were estimated. Results Nine men (0.2%) with BMD T-scores >-1.50 at baseline developed osteoporosis during follow-up. The adjusted estimated time for 10% to develop osteoporosis was 8.5 (95% CI=6.7, 10.9) years for those with moderate osteopenia (lowest T-score, -1.50 to -1.99) and 2.7 (95% CI=2.1, 3.4) years for those with advanced osteopenia (lowest T-score, -2.00 to -2.49) at baseline. The adjusted times for 3% to develop a first hip or clinical vertebral fracture ranged from 7.1 (95% CI=6.0, 8.3) years in men with baseline T-scores > -1.50 to 1.7 (95% CI=1.0, 3.1) years in men with baseline osteoporosis. Conclusions Men aged 65 years and older with femoral neck, total hip, and lumbar spine BMD T-scores >-1.50 on a first BMD test were very unlikely to develop osteoporosis during follow-up. Additional BMD testing may be most informative in older men with T-scores ≤-1.50.
Green, D, Naidoo, E, Olminkhof, C & Dyson, LE 2016, 'Tablets@university: The ownership and use of tablet devices by students', AUSTRALASIAN JOURNAL OF EDUCATIONAL TECHNOLOGY, vol. 32, no. 3, pp. 50-64.
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Tablet devices have made a dramatic impact in the computing industry, and have been widely adopted by consumers, including tertiary students. Published research surrounding the use of tablet computers in tertiary settings appears to be largely centred on the advantages of integrating tablets into university pedagogies. However, there appears to have been very little research into the current level of ownership and use amongst students beyond university-sponsored adoption programs. This paper sets out to provide baseline data on the level of ownership and the current usage of tablets by students at an Australian university. A survey of 200 undergraduate and postgraduate students and interviews with five students showed high tablet ownership and significant engagement with educational uses. The findings of this study have implications for the incorporation of tablets into university education
Gu, X, Li, J, Li, Y & Askari, M 2016, 'Frequency control of smart base isolation system employing a novel adaptive magneto-rheological elastomer base isolator', Journal of Intelligent Material Systems and Structures, vol. 27, no. 7, pp. 849-858.
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In the past decades, base isolation techniques have become increasingly popular for seismic protection of civil structures owing to its capability of decoupling buildings from harmful ground motion. However, it has been recognised recently that the traditional passive base isolation technique could encounter a serious problem during earthquakes due its incapability in adjusting the isolation frequency to cope with the unpredictability and diversity of earthquakes. To address this challenge, a great deal of research efforts have been conducted to improve traditional base isolation systems, most of which focused on hybrid supplementary devices (passive, active and semi-active types) for the isolators to control displacement or to dissipate seismic energy. On the other hand, the most effective approach to address the aforementioned challenge should lay on varying isolator stiffness in real-time to achieve real-time spontaneous decoupling. A recent advance of the development of an adaptive magneto-rheological elastomer base isolator has brought such idea to reality as the new magneto-rheological elastomer base isolator is capable to alter its stiffness significantly in real-time. In this article, an innovative smart base isolation system employing such magneto-rheological elastomer isolator is proposed and a novel frequency control algorithm is developed to shift the fundamental frequency of the structure away from the dominant frequency range of earthquakes. Such design enables the building to avoid resonant state in real-time according to the on-coming spectrum of the earthquakes. Extensive simulation has been conducted using a five-storey benchmark model with the isolation system, and testing results indicate that the proposed control system is able to significantly suppress both the floor accelerations and inter-storey drifts simultaneously under different earthquakes.
Gu, X, Li, Y & Li, J 2016, 'Investigations on response time of magnetorheological elastomer isolator for real-time control implementation', Smart Materials and Structures, vol. 25, no. 11, pp. 11LT04-11LT04.
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© 2016 IOP Publishing Ltd. Utilising the unique features of MRE materials for vibration isolators has been intensively studied over the last several years. Real-time control of the MRE isolators holds the key to unlock MRE materials' unique characteristics, i.e. instantly changeable shear modulus in continuous and reverse fashion. However, one of the critical issues for the applications of real-time control is the response time delay of MRE vibration isolators, which has not yet been fully addressed and studied. This paper identified the inherent response time of the MRE isolator and explored two feasible approaches to minimise the response time delay. Experiments were designed and conducted to evaluate the effectiveness of the proposed approaches on minimising time delay on: (i) the transient response of current of a large coil that generates magnetic field and (ii) the transient response of shear force from the MRE isolator. The results show that the proposed approaches are effective and promising. For example, the proposed approach is able to reduce the force response time from 421 ms to 52 ms at rising and from 400 ms to 48 ms falling edges respectively. Such level of short response time of the MRE isolators demonstrates the feasibility of application of real-time control and hence is the essential step on the realisation of real-time control of vibration suppression system based on MRE isolator.
Gu, X, Yu, Y, Li, J, Li, Y & Alamdari, MM 2016, 'Semi-active storey isolation system employing MRE isolator with parameter identification based on NSGA-II with DCD', Earthquakes and Structures, vol. 11, no. 6, pp. 1101-1121.
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© 2016 Techno-Press, Ltd. Base isolation, one of the popular seismic protection approaches proven to be effective in practical applications, has been widely applied worldwide during the past few decades. As the techniques mature, it has been recognised that, the biggest issue faced in base isolation technique is the challenge of great base displacement demand, which leads to the potential of overturning of the structure, instability and permanent damage of the isolators. Meanwhile, drain, ventilation and regular maintenance at the base isolation level are quite difficult and rather time- and fund- consuming, especially in the highly populated areas. To address these challenges, a number of efforts have been dedicated to propose new isolation systems, including segmental building, additional storey isolation (ASI) and mid-storey isolation system, etc. However, such techniques have their own flaws, among which whipping effect is the most obvious one. Moreover, due to their inherent passive nature, all these techniques, including traditional base isolation system, show incapability to cope with the unpredictable and diverse nature of earthquakes. The solution for the aforementioned challenge is to develop an innovative vibration isolation system to realise variable structural stiffness to maximise the adaptability and controllability of the system. Recently, advances on the development of an adaptive magneto-rheological elastomer (MRE) vibration isolator has enlightened the development of adaptive base isolation systems due to its ability to alter stiffness by changing applied electrical current. In this study, an innovative semi-active storey isolation system inserting such novel MRE isolators between each floor is proposed. The stiffness of each level in the proposed isolation system can thus be changed according to characteristics of the MRE isolators. Nondominated sorting genetic algorithm type II (NSGA-II) with dynamic crowding distance (DCD) is utili...
Guan, D, Zhang, Y, Qian, Z, Li, Y, Asaadi, M & Ding, C 2016, 'A Novel 2-D Multibeam Antenna Without Beamforming Network', IEEE Transactions on Antennas and Propagation, vol. 64, no. 7, pp. 3177-3180.
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© 2016 IEEE. A novel design of multibeam array antenna without feeding network is presented in this communication. This array antenna consists of 3 × 3 microstrip patches as radiators. In this design, a feeding network is avoided where each patch is fed by a probe. Furthermore, whatever patch is excited, the input power can be coupled to all patches through four microstrip lines located between the radiating elements. In addition, nine radiation beams can be implemented depending on different field distributions that are generated by exciting each patch individually. The proposed antenna has a simple single-layered structure and does not suffer from a complex feeding network compared with traditional multibeam antennas. The experimental results demonstrate that the scanning ranges of the nine beams are ±24° and ±45° in the vertical and horizontal directions, respectively. Moreover, measured gain for the nine beams of the implemented antenna varies from 9.06 to 10.45 dBi.
Guan, D-F, Ding, C, Qian, Z-P, Zhang, Y-S, Jay Guo, Y & Gong, K 2016, 'Broadband High-Gain SIW Cavity-Backed Circular-Polarized Array Antenna', IEEE Transactions on Antennas and Propagation, vol. 64, no. 4, pp. 1493-1497.
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© 2016 IEEE. A circularly polarized (CP) 4 × 4 array antenna based on substrate integrated waveguide (SIW) technology is presented. Circular polarization is achieved by applying the sequential rotation technique (SRT) with a well-designed sequential feed network and linear-polarized array elements. The proposed 4 × 4 array has a wide axial ratio (AR) bandwidth of 14% from 18.3 to 21.1 GHz with gain > 13 dBic. Then, the array is expanded to achieve higher gains. A 16 × 16-element array is designed, fabricated, and tested. Test results show that the 16 × 16 array has an AR bandwidth of 13.8% from 18.5 to 21.25 GHz and a peak gain of 25.9 dBic at 20.5 GHz.
GUERTLER, MR & LINDEMANN, UDO 2016, 'IDENTIFYING OPEN INNOVATION PARTNERS: A METHODOLOGY FOR STRATEGIC PARTNER SELECTION', International Journal of Innovation Management, vol. 20, no. 05, pp. 1640011-1640011.
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By opening a company’s innovation process, and allowing purposeful collaboration with external partners, Open Innovation (OI) offers several advantages, such as the use of external expertise, shorter time-to-market and reduced failure rates. However, the success of OI projects is directly linked to the selection of suitable partners, who operationally or strategically contribute to reach the goal of the OI project. Despite this relevance of OI-partner selection, methodical support has hitherto been limited — it is either too abstract to be helpful in practice, or too focused on single aspects. This paper presents a methodical approach to close this gap by combining identification and selection approaches from different fields, such as stakeholder analysis, lead-user identification and systems engineering. The methodology was evaluated in an industrial OI-project with an SME from plant manufacturing.
Guertler, MR, Michailidou, I & Lindemann, U 2016, 'How to assess a company’s open innovation situation?', Design Science, vol. 2.
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Open Innovation (OI) supports companies in systematically collaborating with external partners, offering various advantages. However, companies still face several challenges when applying OI, e.g., identifying relevant OI partners, collaboration methods, and project risks. Often, insufficient planning is the reason for subsequent deficits in OI projects. The analysis of relevant context factors (‘situation’) is important, which affect and constrain OI. To date, a general approach for analyzing (open) innovation situations or guidelines for developing one do not exist. Usually researchers develop their own situation analysis, including extensive literature reviews and experiencing similar challenges. This publication sets the basis for successfully planning OI projects. It focuses on developing an analysis approach for OI situations and supports other researchers in developing their own analysis approaches. The resultant objectives of the publication are to: (1) provide a list of potential situation analysis criteria; (2) provide a guideline for developing a situation analysis; (3) provide initial indications of relevant OI-specific situation criteria. The criteria were derived from the literature and qualitatively evaluated by three industry partners to assess their usability. Although this work is exploratory, and the results are not automatically generalizable, it is an important contribution for ensuring the success of OI, and for analyzing enablers and barriers to knowledge transfer from academia to industry.
Gulzar, M, Masjuki, HH, Varman, M, Kalam, MA, Zulkifli, NWM, Mufti, RA, Liaquat, AM, Zahid, R & Arslan, A 2016, 'Effects of biodiesel blends on lubricating oil degradation and piston assembly energy losses', Energy, vol. 111, pp. 713-721.
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Guntuku, SC, Zhou, JT, Roy, S, Lin, W & Tsang, IW 2016, 'Understanding Deep Representations Learned in Modeling Users Likes', IEEE Transactions on Image Processing, vol. 25, no. 8, pp. 3762-3774.
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© 1992-2012 IEEE. Automatically understanding and discriminating different users' liking for an image is a challenging problem. This is because the relationship between image features (even semantic ones extracted by existing tools, viz., faces, objects, and so on) and users' likes is non-linear, influenced by several subtle factors. This paper presents a deep bi-modal knowledge representation of images based on their visual content and associated tags (text). A mapping step between the different levels of visual and textual representations allows for the transfer of semantic knowledge between the two modalities. Feature selection is applied before learning deep representation to identify the important features for a user to like an image. The proposed representation is shown to be effective in discriminating users based on images they like and also in recommending images that a given user likes, outperforming the state-of-the-art feature representations by ∼ 15%-20%. Beyond this test-set performance, an attempt is made to qualitatively understand the representations learned by the deep architecture used to model user likes.
Guo, B, Huang, Y, Guo, Y & Zhu, J 2016, 'Thermal Analysis of the Conical Rotor Motor Using LPTN With Accurate Heat Transfer Coefficients', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-7.
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Guo, J, Peng, Y, Fan, L, Zhang, L, Ni, B, Kartal, B, Feng, X, Jetten, MSM & Yuan, Z 2016, 'Metagenomic analysis of anammox communities in three different microbial aggregates', Environmental Microbiology, vol. 18, no. 9, pp. 2979-2993.
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SummaryThere is great potential to understand the functional diversity of microorganisms that are involved in waste water treatment through metagenomic analyses. This study presents the first metagenomic comparison of taxonomic and functional profiles of the microbial communities occurring in different aggregates from anaerobic ammonium‐oxidizing (anammox) bioreactors. The anammox bacterial communities in both biofilm and granule sludge samples showed relatively high abundance and diversity compared with floccular sludge. Four of the five known genera of anammox bacteria were detected in the three cultures except Candidatus Jettenia, which was absent in the granules. Candidatus Kuenenia comprised the major population of anammox bacteria in these three sludges, independent of their growth morphologies. The genome assembled for the Candidatus Kuenenia in the granule was very similar to the published reference genome of Candidatus K. stuttgartiensis. Genes involved in the metabolism of the anammox process were highly detected in the biofilm and granule sludges. In particular, the abundance of hydrazine synthase gene (hzs) in the biofilm was around 486 times more pronounced than that in the granules. The knowledge gained in this study highlights an important role of sludge aggregate in affecting community structure and metabolic potential of anammo...
Guo, J, Wang, S, Lian, J, Ngo, HH, Guo, W, Liu, Y & Song, Y 2016, 'Rapid start-up of the anammox process: Effects of five different sludge extracellular polymeric substances on the activity of anammox bacteria', Bioresource Technology, vol. 220, pp. 641-646.
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© 2016 This study investigated the rapid start-up of the anaerobic ammonium oxidation (anammox) strategy by inoculating different biomass ratios of denitrifying granular sludge and anammox bacteria. The results demonstrated that two reactors (R1 and R2) were rapidly and successfully started-up on days 25 and 28, respectively, with nitrogen removal rates (NRRs) of 0.70 kg/(m3·d) and 0.72 kg/(m3·d) at biomass ratios of 10:1 (R1) and 50:1 (R2). The explanation for rapid start-up was found by examining the effect of five different sludge extracellular polymeric substances (EPS) on the activity of anammox bacteria in the batch experiments. Batch experiments results first demonstrated that the denitrification sludge EPS (DS-EPS) enhanced the anammox bacteria activity the most, and NO2−-N, NH4+-N removal rates were 1.88- and 1.53-fold higher than the control with optimal DS-EPS volume of 10 mL. The rapid start-up strategy makes possible the application of anammox to practical engineering.
Guo, L, Zhu, H & Abbosh, A 2016, 'Wideband Phase Shifter With Wide Phase Range Using Parallel Coupled Lines and L-Shaped Networks', IEEE Microwave and Wireless Components Letters, vol. 26, no. 8, pp. 592-594.
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A planar broadband phase shifter with wide range of differential phase is proposed. To achieve this performance, the design uses quarter wavelength parallel coupled lines combined with two L-shape networks. The L-shaped network includes a short-ended stub and a section of transmission line as an impedance transformer. The value of the differential phase can be adjusted through varying the coupling coefficient of the coupled lines along with the length and impedance of the short-ended stubs and transformer. The theory of operation for the proposed design is explained. To validate the theory, a phase shifter is designed and manufactured to realize 180° differential phase. The simulated and measured results agree well with the theory and show less than b° phase deviation and 1.3 dB insertion loss across the band 1-3 GHz.
Guo, L, Zhu, H & Abbosh, AM 2016, 'Wideband Tunable In-Phase Power Divider Using Three-Line Coupled Structure', IEEE Microwave and Wireless Components Letters, vol. 26, no. 6, pp. 404-406.
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Guo, Q, Zhang, Y, Celler, BG & Su, SW 2016, 'Backstepping Control of Electro-Hydraulic System Based on Extended-State-Observer With Plant Dynamics Largely Unknown', IEEE Transactions on Industrial Electronics, vol. 63, no. 11, pp. 6909-6920.
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Guo, S, Yu, S, Li, J & Ansari, N 2016, 'Big data for networking [Guest Editorial]', IEEE Network, vol. 30, no. 1, pp. 4-5.
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Gupta, B, Di Bernardo, I, Mondelli, P, Della Pia, A, Betti, MG, Iacopi, F, Mariani, C & Motta, N 2016, 'Effect of substrate polishing on the growth of graphene on 3C–SiC(111)/Si(111) by high temperature annealing', Nanotechnology, vol. 27, no. 18, pp. 185601-185601.
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Gupta, P, Lin, C-T, Mehlawat, MK & Grover, N 2016, 'A New Method for Intuitionistic Fuzzy Multiattribute Decision Making', IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 46, no. 9, pp. 1167-1179.
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© 2013 IEEE. In this paper, we study the multiattribute decision-making (MADM) problem with intuitionistic fuzzy values that represent information regarding alternatives on the attributes. Assuming that the weight information of the attributes is not known completely, we use an approach that utilizes the relative comparisons based on the advantage and disadvantage scores of the alternatives obtained on each attribute. The relative comparison of the intuitionistic fuzzy values in this research use all the three parameters, namely membership degree ('the more the better'), nonmembership degree ('the less the better'), and hesitancy degree ('the less the better'), thereby leading to the tradeoff values of all the three parameters. The score functions (advantage and disadvantage scores) used for this purpose are based on the positive contributions of these parameters, wherever applicable. Furthermore, these scores are used to obtain the strength and weakness scores leading to the satisfaction degrees of the alternatives. The optimal weights of the attributes are determined using a multiobjective optimization model that simultaneously maximizes the satisfaction degree of each alternative. The optimal solution is used for ranking and selecting the best alternative on the basis of the overall attribute values. To validate the proposed methodology, we present a numerical illustration of a real-world case. The methodology is further extended to treat MADM problem with interval-valued intuitionistic fuzzy information. Finally, a thorough comparison is done to demonstrate the advantages of the solution methodology over the existing methods used for the intuitionistic fuzzy MADM problems.
Guzman-Quiros, R, Weily, AR, Gomez-Tornero, JL & Guo, YJ 2016, 'A Fabry–Pérot Antenna With Two-Dimensional Electronic Beam Scanning', IEEE Transactions on Antennas and Propagation, vol. 64, no. 4, pp. 1536-1541.
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© 2016 IEEE. A novel fixed-frequency electronically steerable Fabry-Pérot Antenna (FPA) with electronic two-dimensional (2-D) (azimuth and elevation) steering capability is presented. The configuration is based on a centrally fed Fabry-Pérot cavity (FPC) loaded with a tunable high impedance surface (HIS). Varactor diodes are used to electronically tune the HIS reflection coefficient, forming four azimuthal sectors that are independently controlled by four control signals, respectively. It is demonstrated that this simple configuration generates a pencil beam that can be pointed to eight discrete azimuthal directions, whereas continuous elevation scanning is also attained simultaneously for each azimuthal direction by controlling the leaky-wave propagation constant. The theory, simulation analysis, and experimental results obtained from a prototype operating at 5.5 GHz are presented to validate the antenna design.
Habibullah, M, Lu, DD-C, Xiao, D & Rahman, MF 2016, 'A Simplified Finite-State Predictive Direct Torque Control for Induction Motor Drive', IEEE Transactions on Industrial Electronics, vol. 63, no. 6, pp. 3964-3975.
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© 2016 IEEE. Finite-state predictive torque control (FS-PTC) is computationally expensive, since it uses all voltage vectors (VVs) available from a power converter for prediction and actuation. The computational burden is rapidly increased with the number of VVs and objectives to be controlled. Moreover, designing a cost function with more than two control objectives is a complex task. This paper proposes a simplified algorithm based on a new direct torque control (DTC) switching table to reduce the number of VVs to be predicted and objectives to be controlled. The new switching table also assists to reduce average switching frequency and its variation range. As a result, the cost function is simplified by not requiring to include the frequency term. Experimental results show that the average execution time and the average switching frequency for the proposed algorithm are greatly reduced without affecting the torque and flux performances achieved in the conventional FS-PTC.
Hagelstein, B, Abolhasan, M, Franklin, D, Safaei, F & Ni, W 2016, 'Analytic Performance Model for State-Based MAC Layer Cooperative Retransmission Protocols', IEEE TRANSACTIONS ON MOBILE COMPUTING, vol. 15, no. 1, pp. 32-44.
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© 2015 IEEE. Cooperative retransmission can significantly improve link reliability over lossy and time-varying wireless links. However, comparing retransmission protocols is challenging, and generally requires simplistic assumptions specific to each protocol. In this paper, we develop a general model to evaluate cooperative retransmission protocols with distributed, slot-based contention algorithms. Specifically, we propose to calculate the relay time-out probabilities at a MAC time-slot scale, formulate retransmission outcomes as functions of the time-out probabilities, and derive the probability of a retransmission process for every data frame. We also propose a Markov extension of our model to characterise the dependency between retransmissions of multiple frames. This enables our model to analyse continuous retransmissions of successive frames. Validated by QualNet simulations, our model can analytically predict the probabilities of cooperative retransmissions with an accuracy of ± 1%. As a result, direct comparisons between cooperative retransmission protocols become tangible, without implementing the full protocol in a state-based simulator.
Hajializadeh, D, OBrien, EJ & Stewart, MG 2016, 'The sensitivity of bridge safety to spatial correlation of load and resistance', Structures, vol. 5, pp. 23-34.
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Random Field theory has emerged in recent years to model the statistical correlation of resistance in concrete structures and to determine its influence on the probability of structural failure. A major shortcoming in the work carried out to date is the spatial variability and corresponding correlation associated with applied traffic loads. In this paper the influence of spatial correlation of both traffic load and resistance is considered in the context of bridge safety assessment. The current study, explores, the nature of the problem by three theoretical examples. As a general trend, examples show that while traffic loads are weakly correlated, load effects are strongly correlated as the same heavy vehicle often causes extremes of load effect in different parts of the bridge which is due to the transverse sharing of load (measured here using a load sharing factor). It is found that the strength of correlation of load effect depends greatly on the load sharing factor which is treated in a simple way in many studies. In a more sophisticated beam-and-slab bridge example, load sharing factors are derived from a finite element analysis to assess transverse load sharing, and are shown to vary by girder number, girder segment and by load location. Despite the fact that load effect at points along the length of a bridge is strongly correlated, the combined influence of correlation in load and resistance on probability of failure is small.
Hajializadeh, D, Stewart, MG, Enright, B & OBrien, E 2016, 'Spatial time-dependent reliability analysis of reinforced concrete slab bridges subject to realistic traffic loading', Structure and Infrastructure Engineering, vol. 12, no. 9, pp. 1137-1152.
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Resistance and loads are often correlated in time and space. The paper assesses the influence of these correlations on structural reliability/probability of failure for a typical two-lane reinforced concrete (RC) slab bridge under realistic traffic loading. Spatial variables for structural resistance are cover and concrete compressive strength, which in turn affect the strength and chloride-induced corrosion of RC elements. Random variables include pit depth and model error. Correlation of weights between trucks in adjacent lanes and inter-vehicle gaps are also included and are calibrated against weigh-in-motion data. Reliability analysis of deteriorating bridges needs to incorporate uncertainties associated with parameters governing the deterioration process and loading. One of the major unanswered questions in the work carried out to date is the influence of spatial variability of load and resistance on failure probability. Spatial variability research carried out to date has been mainly focused on predicting the remaining lifetime of a corroding structure and spatial variability of material, dimensional and environmental properties. A major shortcoming in the work carried out to date is the lack of an allowance for the spatial variability of applied traffic loads. In this article, a two-dimensional (2D) random field is developed where load effects and time-dependent structural resistance are calculated for each segment in the field. The 2D spatial time-dependent reliability analysis of an RC slab bridge found that a spatially correlated resistance results in only a small increase in probability of failure. Despite the fact that load effect at points along the length of a bridge is strongly correlated, the combined influence of correlation in load and resistance on probability of failure is small.
Han, S, Middleton, PF, Tran, TS & Crowther, CA 2016, 'Assessing use of a printed lifestyle intervention tool by women with borderline gestational diabetes and their achievement of diet and exercise goals: a descriptive study', BMC Pregnancy and Childbirth, vol. 16, no. 1.
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Hanh, LTM, Binh, NT & Tung, KT 2016, 'A Novel Fitness function of metaheuristic algorithms for test data generation for simulink models based on mutation analysis', Journal of Systems and Software, vol. 120, pp. 17-30.
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Hanif, M, Mahlia, TMI, Aditiya, HB, Chong, WT & Nasruddin 2016, 'Techno-economic and environmental assessment of bioethanol production from high starch and root yield Sri Kanji 1 cassava in Malaysia', Energy Reports, vol. 2, pp. 246-253.
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Transportation played a significant role in energy consumption and pollution subsequently. Caused by the intense growth of greenhouse gas emission, efficient and sustainable improvement of the transportation sector has elevated the concern in many nations including Malaysia. Bioethanol is an alternative and renewable energy that has a great potential to substitute for fossil gasoline in internal combustion engine (ICE). Although bioethanol has been widely utilized in road transport worldwide, the production and application of bioethanol in Malaysia is yet to be considered. Presently there is comprehensive diversity of bioethanol research on distillation, performance and emission analysis available worldwide. Yet, the study on techno-economic and feasibility of bioethanol fuel in Malaysia condition is unavailable. Thus, this study is concentrated on bioethanol production and techno-economic analysis of cassava bioethanol as an alternative fuel in Malaysia. Furthermore, the current study attempts to determine the effect of bioethanol employment towards the energy scenario, environmental and economy. From the economic analysis, determined that the life cycle cost for 54 ktons cassava bioethanol production plant with a project life time of 20 years is $132 million USD, which is equivalent to $0.11 USD per litre of bioethanol. Furthermore, substituting 5 % of gasoline fuel with bioethanol fuel in road transport can reduce the CO2 emissions up to 2,038 ktons in year 2036. In case to repay the carbon debt from converting natural forest to cassava cropland, cassava bioethanol required about 5.4 years. The cassava bioethanol is much cheaper than gasoline fuel even when 20 % taxation is subjected to bioethanol at current production cost. Thus, this study serves as a guideline for further investigation and research on bioethanol production, subsidy cost and other limitation factors before the extensive application of bioethanol can be implemented in Malaysia.
Hao, H, Hao, Y, Li, J & Chen, W 2016, 'Review of the current practices in blast-resistant analysis and design of concrete structures', Advances in Structural Engineering, vol. 19, no. 8, pp. 1193-1223.
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In contemporary society, industrialization and rising of terrorism threats highlight the necessity and importance of structural protection against accidental and intentionally malicious blast loads. Consequences of these extreme loading events are known to be catastrophic, involving personnel injuries and fatalities, economic loss and immeasurable social disruption. These impacts are generated not only from direct explosion effects, that is, blast overpressure and primary or secondary fragments, but also from the indirect effects such as structural collapse. The latter one is known to be more critical leading to massive losses. It is therefore imperative to enlighten our structural engineers and policy regulators when designing modern structures. Towards a better protection of concrete structures, efforts have been devoted to understanding properties of construction materials and responses of structures subjected to blast loads. Reliable blast resistance design requires a comprehensive knowledge of blast loading characteristics, dynamic material properties and dynamic response predictions of structures. This article presents a state-of-the-art review of the current blast-resistant design and analysis of concrete structures subjected to blast loads. The blast load estimation, design considerations and approaches, dynamic material properties at high strain rate, testing methods and numerical simulation tools and methods are considered and reviewed. Discussions on the accuracies and advantages of these current approaches and suggestions on possible improvements are also made.
Hao, L, Jiang, Z, Chen, Z, Wei, D, Cheng, X, Zhao, J, Luo, M, Ma, L, Luo, S & Jiang, L 2016, 'High Temperature Oxidation of Indefinite Chill Roll Material Under Dry and Humid Atmospheres', steel research international, vol. 87, no. 3, pp. 349-358.
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© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. In this paper, the isothermal oxidation of the indefinite chill (IC) roll is investigated by using a thermogravimetric analyzer (TGA) from 550 to 700 C under dry and humid atmospheres. It is found that the oxidation kinetics follow a linear trend and the oxide scale consists of two layers after the oxidation in dry air but three layers in humid air above 600 C. In dry air, the graphite is covered by the oxide scale above 650 C. The water vapor accelerates the oxidation of the matrix and the graphite. The graphite is covered by the extension of the oxide scale above 600 C in humid air. The as-treated samples are examined with SEM and XRD, while the kinetics is based on TGA results. The isothermal oxidation of the indefinite chill (IC) roll (shown in Figure 1) is investigated by using a thermogravimetric analyzer. Results show that the oxidation kinetics follow a linear trend, and the oxide scale consists of two layers after the oxidation in dry air but three layers in humid air above 600 C. The water vapor accelerated the oxidation of the matrix and the graphite.
Hao, L, Jiang, Z, Wei, D, Gong, D, Cheng, X, Zhao, J, Luo, S & Jiang, L 2016, 'Experimental and Numerical Study on the Effect of ZDDP Films on Sticking During Hot Rolling of Ferritic Stainless Steel Strip', Metallurgical and Materials Transactions A, vol. 47, no. 10, pp. 5195-5202.
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Hasan, H, Dang, L, Khabbaz, H, Fatahi, B & Terzaghi, S 2016, 'Remediation of Expansive Soils Using Agricultural Waste Bagasse Ash', Procedia Engineering, vol. 143, pp. 1368-1375.
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© 2016 The Authors. Published by Elsevier B.V. Bagasse is a fibrous material remaining after crushing sugarcane to extract its juice; and bagasse ash is produced after burning bagasse. Improper disposal of this material can create environmental problems around sugar manufacturing plants. Bagasse ash, comprising a high percentage of silica (SiO2), is considered as a sensible pozzolanic material with non-reactive behaviour and has potential to be used in road subgrade stabilisation. One of the main challenges for transportation organisations in Australia is to treat subgrades including expansive soils. Expansive soils exhibit significant movements when the moisture content changes, and hence it causes substantial damage to road pavements constructed over these type of soils. Road engineers need to employ materials having acceptable strength, relatively low price and being eco-friendly. In order to demonstrate the potential ability of bagasse ash in curtailing the adverse effects of expansive soils on roads, an array of experimental tests using bagasse ash have been conducted. In this study to activate and improve the effectiveness of bagasse ash, hydrated lime was used and mixed with black soil samples, collected from Queensland Australia. Samples were prepared using different contents of bagasse ash and hydrated lime (0%, 6%, 10%, 18% and 25% by the dry mass of soil), at a ratio of 3:1, respectively. The results of free swell ratio (FSR) test, unconfined compression strength (UCS) and California bearing ratio (CBR) tests are presented for untreated and treated samples after various curing time periods of 3, 7 and 28 days. The outcomes of these tests clearly demonstrate that stabilisation of expansive soils using bagasse ash and hydrated lime not only improves the strength, but also facilitates to cope with environmental concerns through reduction of sugar industry waste material.
Hassanzadeh-Barforoushi, A, Shemesh, J, Farbehi, N, Asadnia, M, Yeoh, GH, Harvey, RP, Nordon, RE & Warkiani, ME 2016, 'A rapid co-culture stamping device for studying intercellular communication', Scientific Reports, vol. 6, no. 1, p. 35618.
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AbstractRegulation of tissue development and repair depends on communication between neighbouring cells. Recent advances in cell micro-contact printing and microfluidics have facilitated the in-vitro study of homotypic and heterotypic cell-cell interaction. Nonetheless, these techniques are still complicated to perform and as a result, are seldom used by biologists. We report here development of a temporarily sealed microfluidic stamping device which utilizes a novel valve design for patterning two adherent cell lines with well-defined interlacing configurations to study cell-cell interactions. We demonstrate post-stamping cell viability of >95%, the stamping of multiple adherent cell types, and the ability to control the seeded cell density. We also show viability, proliferation and migration of cultured cells, enabling analysis of co-culture boundary conditions on cell fate. We also developed an in-vitro model of endothelial and cardiac stem cell interactions, which are thought to regulate coronary repair after myocardial injury. The stamp is fabricated using microfabrication techniques, is operated with a lab pipettor and uses very low reagent volumes of 20 μl with cell injection efficiency of >70%. This easy-to-use device provides a general strategy for micro-patterning of multiple cell types and will be important for studying cell-cell interactions in a multitude of applications.
Hastings, C, Wortley, L, Ryan, R & Grant, B 2016, 'Community expectations for the role of local government in Regional Australia: Meeting the challenges of 'slow burn'', Australasian Journal of Regional Studies, vol. 22, no. 1, pp. 158-180.
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Regional Australia is confronted by specific demographic, social, economic and infrastructure challenges, which we are denoting as 'slow-burn' threats. This article interrogates a recent national survey concerned with the value of local government to Australian communities, focusing upon differences in responses for regional and remote areas compared to those from urban capital cities. Findings indicate that regional and remote residents place more importance on local government delivering services that specifically focus on the long-term development and sustainability of the community than their urban counterparts, particularly economic and community development roles. We argue that this constitutes a demonstration of the different expectations that regional and remote communities have of local government in the face of 'slow burn' in regional and remote areas. Further, we suggest that the relationship between local governments in regional Australia and the communities they serve is usefully conceived in terms of what we denote as 'the close economy' and 'the local state'.
Hawari, AH, Kamal, N & Altaee, A 2016, 'Combined influence of temperature and flow rate of feeds on the performance of forward osmosis', Desalination, vol. 398, pp. 98-105.
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© 2016 The effect of the membrane orientation, feeds flow rate, feeds temperature, and combining effect of both temperature and flow rate on the membrane flux was investigated in order to enhance the performance of forward osmosis (FO) process. Results from experimental work demonstrated that the concentrative internal concentration polarization (CICP) could be mitigated by increasing the feed solution flow rate and using a spacer. On contrary, the severity of dilutive internal concentration polarization (DICP) phenomena was aggravated by increasing the draw solution flow rate. It was also found that when increasing the draw solution (DS) temperature from 20 °C to 26 °C the flux increased linearly and then started decreasing when temperature increased over 26 °C due to the development of a temperature gradient. The experimental results also showed that the membrane flux increased by 93.3% due to temperature increase from 20 to 26 °C and the flow rate from 1.2 to 3.2 L/min using a 0.5 M NaCl solution as the draw solution and distilled water as the feed solution (FS).
Hazber, MAG, Li, R, Gu, X & Xu, G 2016, 'Integration Mapping Rules: Transforming Relational Database to Semantic Web Ontology', Applied Mathematics & Information Sciences, vol. 10, no. 3, pp. 881-901.
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© 2016 NSP. Semantic integration became an attractive area of research in several disciplines, such as information integration, databases and ontologies. Huge amount of data is still stored in relational databases (RDBs) that can be used to build ontology, and the database cannot be used directly by the semantic web. Therefore, one of the main challenges of the semantic web is mapping relational databases to ontologies (RDF(S)-OWL). Moreover, the use of manual work in the mapping of web contents to ontologies is impractical because it contains billions of pages and the most of these contents are generated from relational databases. Hence, we propose a new approach, which enables semantic web applications to access relational databases and their contents by semantic methods. Domain ontologies can be used to formulate relational database schema and data in order to simplify the mapping (transformation) of the underlying data sources. Our method consists of two main phases: building ontology from an RDB schema and the generation of ontology instances from an RDB data automatically. In the first phase, we studied different cases of RDB schema to be mapped into ontology represented in RDF(S)-OWL, while in the second phase, the mapping rules are used to transform RDB data to ontological instances represented in RDF triples. Our approach is demonstrated with examples, validated by ontology validator and implemented using Apache Jena in Java Language and MYSQL. This approach is effective for building ontology and important for mining semantic information from huge web resources.
He, W & Xu, G 2016, 'Social media analytics: unveiling the value, impact and implications of social media analytics for the management and use of online information', Online Information Review, vol. 40, no. 1.
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Heijboer, M, van den Hoven, E, Bongers, B & Bakker, S 2016, 'Facilitating peripheral interaction: design and evaluation of peripheral interaction for a gesture-based lighting control with multimodal feedback', PERSONAL AND UBIQUITOUS COMPUTING, vol. 20, no. 1, pp. 1-22.
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© 2015, The Author(s). Most interactions with today’s interfaces require a person’s full and focused attention. To alleviate the potential clutter of focal information, we investigated how interactions could be designed to take place in the background or periphery of attention. This paper explores whether gestural, multimodal interaction styles of an interactive light system allow for this. A study compared the performance of interactions with the light system in two conditions: the central condition in which participants interacted only with the light system, and the peripheral condition in which they interacted with the system while performing a high-attentional task simultaneously. Our study furthermore compared different feedback styles (visual, auditory, haptic, and a combination). Results indicated that especially for the combination feedback style, the interaction could take place without participants’ full visual attention, and performance did not significantly decrease in the peripheral condition. This seems to indicate that these interactions at least partly took place in their periphery of attention and that the multimodal feedback style aided this process.
Heitor, A, Indraratna, B & Rujikiatkamjorn, C 2016, 'Small Strain Behaviour of a Compacted Subgrade Soil', Procedia Engineering, vol. 143, pp. 260-267.
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Heitor, A, Indraratna, B, Kaliboullah, CI, Rujikiatkamjorn, C & McIntosh, GW 2016, 'Drained and Undrained Shear Behavior of Compacted Coal Wash', Journal of Geotechnical and Geoenvironmental Engineering, vol. 142, no. 5, pp. 04016006-04016006.
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Hesari, Z, Soleimani, M, Atyabi, F, Sharifdini, M, Nadri, S, Warkiani, ME, Zare, M & Dinarvand, R 2016, 'A hybrid microfluidic system for regulation of neural differentiation in induced pluripotent stem cells', Journal of Biomedical Materials Research Part A, vol. 104, no. 6, pp. 1534-1543.
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AbstractControlling cellular orientation, proliferation, and differentiation is valuable in designing organ replacements and directing tissue regeneration. In the present study, we developed a hybrid microfluidic system to produce a dynamic microenvironment by placing aligned PDMS microgrooves on surface of biodegradable polymers as physical guidance cues for controlling the neural differentiation of human induced pluripotent stem cells (hiPSCs). The neuronal differentiation capacity of cultured hiPSCs in the microfluidic system and other control groups was investigated using quantitative real time PCR (qPCR) and immunocytochemistry. The functionally of differentiated hiPSCs inside hybrid system's scaffolds was also evaluated on the rat hemisected spinal cord in acute phase. Implanted cell's fate was examined using tissue freeze section and the functional recovery was evaluated according to the Basso, Beattie, and Bresnahan (BBB) locomotor rating scale. Our results confirmed the differentiation of hiPSCs to neuronal cells on the microfluidic device where the expression of neuronal‐specific genes was significantly higher compared to those cultured on the other systems such as plain tissue culture dishes and scaffolds without fluidic channels. Although survival and integration of implanted hiPSCs did not lead to a significant functional recovery, we believe that combination of fluidic channels with nanofiber scaffolds provides a great microenvironment for neural tissue engineering, and can be used as a powerful tool for in situ monitoring of differentiation potential of various kinds of stem cells. © 2016 Wiley Periodicals, Inc. J Biomed Mater Res Part A: 104A: 1534–1543, 2016.
Hesson, LB, Ng, B, Zarzour, P, Srivastava, S, Kwok, C-T, Packham, D, Nunez, AC, Beck, D, Ryan, R, Dower, A, Ford, CE, Pimanda, JE, Sloane, MA, Hawkins, NJ, Bourke, MJ, Wong, JWH & Ward, RL 2016, 'Integrated Genetic, Epigenetic, and Transcriptional Profiling Identifies Molecular Pathways in the Development of Laterally Spreading Tumors', MOLECULAR CANCER RESEARCH, vol. 14, no. 12, pp. 1217-1228.
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Hiai, F, Koenig, R & Tomamichel, M 2016, 'Generalized Log-Majorization and Multivariate Trace Inequalities', Annales Henri Poincare, vol. 18, no. 7, pp. 7-2521.
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We show that recent multivariate generalizations of the Araki-Lieb-Thirringinequality and the Golden-Thompson inequality [Sutter, Berta, and Tomamichel,Comm. Math. Phys. (2016)] for Schatten norms hold more generally for allunitarily invariant norms and certain variations thereof. The main technicalcontribution is a generalization of the concept of log-majorization whichallows us to treat majorization with regards to logarithmic integral averagesof vectors of singular values.
Hjerrild, NE, Mesgari, S, Crisostomo, F, Scott, JA, Amal, R & Taylor, RA 2016, 'Hybrid PV/T enhancement using selectively absorbing Ag–SiO 2 /carbon nanofluids', Solar Energy Materials and Solar Cells, vol. 147, pp. 281-287.
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© 2016 Elsevier B.V. All rights reserved. Optical filters can be used to increase solar conversion efficiency in hybrid photovoltaic/thermal (PV/T) collectors by partitioning incident light into two spectra: one desirable for direct electrical conversion and one for thermal collection. This article is the first to present both modeled and experimental results for a spectrally-tailorable, multi-particle nanofluid filter positioned between a concentrated light source and a silicon cell. The nanofluid is composed of suspended core-shell silver-silica (Ag-SiO2) nanodiscs and carbon nanotubes (CNTs) in water. The core-shell particles were specifically synthesized and designed to absorb the majority of the visible spectrum, while transmitting the light which corresponds to the PV cell. The silver nanodiscs strongly absorb visible light with minimal scattering, whereas the silica shell maintains the shape and absorption spectrum of the silver cores. Alternatively, low-concentration carbon nanotube (CNT) solutions were used to enhance absorption (particularly of ultra-violet light) and to provide a comparison for selective filters versus broadband absorbers. Varying dilutions of the Ag-SiO2 nanofluid are compared to solutions diluted with dispersed CNTs. The CNTs enhance the heating rate of the nanofluid with the caveat of non-selective light absorption, which reduces the electrical output. Ag-SiO2 nanofluids (0.026 wt%) increased combined efficiencies by 30% compared to the base fluid filter alone. For a small additional cost of <$1/L of nanofluid, the developed system represents a highly efficient hybrid generator which can be dynamically tailored to meet variable thermal energy and electricity prices.
Ho, L & Fatahi, B 2016, 'One-Dimensional Consolidation Analysis of Unsaturated Soils Subjected to Time-Dependent Loading', International Journal of Geomechanics, vol. 16, no. 2, pp. 04015052-04015052.
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Ho, L, Fatahi, B & Khabbaz, H 2016, 'Analytical solution to axisymmetric consolidation in unsaturated soils with linearly depth-dependent initial conditions', Computers and Geotechnics, vol. 74, pp. 102-121.
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© 2016. This paper introduces an analytical solution for the axisymmetric consolidation of unsaturated soils subjected to constant external loading. The analytical procedure employs variables separation and Laplace transformation techniques while capturing the uniform and linear initial excess pore pressure distributions with depth. Excess pore-air and pore-water pressures as functions of time, radial and vertical flows are determined using Laplace transforms, Fourier Bessel and sine series, respectively. In this study, the consolidation behavior, in terms of changes in excess pore-air and pore-water pressures and the average degree of consolidation, are investigated against the air to water permeability ratio. The effects of radial distance from the drain well on the dissipation rate are likewise highlighted in worked examples. Excess pore pressure isochrones and the matric suction varying with time are also presented.
Hokmabadi, AS & Fatahi, B 2016, 'Influence of Foundation Type on Seismic Performance of Buildings Considering Soil-Structure Interaction', INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS, vol. 16, no. 8, pp. 1-29.
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© 2016 World Scientific Publishing Company. In selecting the type of foundation best suited for mid-rise buildings in high risk seismic zones, design engineers may consider that a shallow foundation, a pile foundation, or a pile-raft foundation can best carry the static and dynamic loads. However, different types of foundations behave differently during earthquakes, depending on the soil-structure interaction (SSI) where the properties of the in situ soil and type of foundation change the dynamic characteristics (natural frequency and damping) of the soil-foundation-structure system. In order to investigate the different characteristics of SSI and its influence on the seismic response of building frames, a 3D numerical model of a 15-storey full-scale (prototype) structure was simulated with four different types of foundations: (i) A fixed-based structure that excludes the SSI, (ii) a structure supported by a shallow foundation, (iii) a structure supported by a pile-raft foundation in soft soil and (iv) a structure supported by a floating (frictional) pile foundation in soft soil. Finite difference analyzes with FLAC3D were then conducted using real earthquake records that incorporated material (soil and superstructure) and geometric (uplifting, gapping and P-Δ effects) nonlinearities. The 3D numerical modeling procedure had previously been verified against experimental shaking table tests conducted by the authors. The results are then presented and compared in terms of soil amplification, shear force distribution and rocking of the superstructure, including its lateral deformation and drift. The results showed that the type of foundation is a major contributor to the seismic response of buildings with SSI and should therefore be given careful consideration in order to ensure a safe and cost effective design.
Holgaard, JE, Hadgraft, R, Kolmos, A & Guerra, A 2016, 'Strategies for education for sustainable development – Danish and Australian perspectives', Journal of Cleaner Production, vol. 112, pp. 3479-3491.
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Hong, H, Naghibi, SA, Pourghasemi, HR & Pradhan, B 2016, 'GIS-based landslide spatial modeling in Ganzhou City, China', Arabian Journal of Geosciences, vol. 9, no. 2, p. 112.
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Hong, H, Pradhan, B, Jebur, MN, Bui, DT, Xu, C & Akgun, A 2016, 'Spatial prediction of landslide hazard at the Luxi area (China) using support vector machines', Environmental Earth Sciences, vol. 75, no. 1, p. 40.
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Ho-Pham, LT, Hans, D, Doan, MC, Mai, LD & Nguyen, TV 2016, 'Genetic determinant of trabecular bone score (TBS) and bone mineral density: A bivariate analysis', Bone, vol. 92, pp. 79-84.
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Ho-Pham, LT, Lai, TQ, Mai, LD, Doan, MC & Nguyen, TV 2016, 'Body Composition in Individuals with Asymptomatic Osteoarthritis of the Knee', Calcified Tissue International, vol. 98, no. 2, pp. 165-171.
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© 2015, Springer Science+Business Media New York. Greater body mass index (BMI) is associated with a greater risk of osteoarthritis (OA). This study sought to investigate whether the association is mediated by fat mass or lean mass. The study involved 170 men and 488 women aged between 20 and 90 (average age: 55) who were randomly recruited from Ho Chi Minh City, Vietnam. The presence of knee OA was radiographically diagnosed based on the Kellgren–Lawrence criteria. Lean mass (LM) and fat mass (FM) were obtained from the DXA whole body scan (Hologic QDR-4500). The relationship between OA, LM, and FM was analyzed by a series of multiple linear regression models which take into account the effects of gender and age. As expected, men and women with knee OA were older than those without OA (65 vs 51 year in men, and 64 vs 52 year in women). After adjusting for age, OA was associated with greater FM and percent body fat (PBF), but the association was only observed in women, not in men. There was no statistically significant difference in LM between OA and non-OA individuals. Moreover, after adjusting for age and BMI or PBF, bone density in OA patients was not significantly different from non-OA individuals. Women with OA of the knee have greater fat mass than non-OA individuals, and that there is no significant difference in bone density between OA and non-OA individuals. Thus, the association between body mass index and OA is mainly mediated by fat mass.
Hoque, MA-A, Phinn, S, Roelfsema, C & Childs, I 2016, 'Assessing tropical cyclone impacts using object-based moderate spatial resolution image analysis: a case study in Bangladesh', International Journal of Remote Sensing, vol. 37, no. 22, pp. 5320-5343.
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Hossain, MJ, Mahmud, MA, Milano, F, Bacha, S & Hably, A 2016, 'Design of Robust Distributed Control for Interconnected Microgrids', IEEE Transactions on Smart Grid, vol. 7, no. 6, pp. 2724-2735.
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Hosseinzadeh Adli, A, Karami, C, Zhand, S, Talei, R & Moradi, A 2016, 'Mutations in the Basal Core Promoter and Precore/Core Regions of Hepatitis B Virus in Patients Co-Infected With Human Immunodeficiency Virus', Medical Laboratory Journal, vol. 10, no. 4, pp. 32-39.
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Hou, S, Zhou, S, Chen, L, Feng, Y & Awudu, K 2016, 'Multi-label learning with label relevance in advertising video', Neurocomputing, vol. 171, pp. 932-948.
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The recent proliferation of videos has brought out the need for applications such as automatic annotation and organization. These applications could greatly benefit from the respective thematic content depending on the type of video. Unlike the other kinds of video, an advertising video usually conveys a specific theme in a certain time period (e.g. drawing the audience׳s attention to a product or emphasizing the brand). Traditional multi-label algorithms may not work effectively with advertising videos due mainly to their heterogeneous nature. In this paper, we propose a new learning paradigm to resolve the problems arising out of traditional multi-label learning in advertising videos through label relevance. Aiming to address the issue of label relevance, we firstly assign each label with label degree (LD) to classify all the labels into three groups such as first label (FL), important label (IL) and common label (CL), and then propose a Directed Probability Label Graph (DPLG) model to mine the most related labels from the multi-label data with label relevance, in which the interdependency between labels is considered. In the implementation of DPLG, the labels that appear occasionally and possess inconspicuous co-occurrences are consequently eliminated effectively, employing λ-filtering and τ-pruning processes, respectively. And then the graph theory is utilized in DPLG to acquire Correlative Label-Sets (CLSs). Lastly, the searched Correlative Label-Sets (CLSs) are utilized to enhance multi-label annotation. Experimental results on advertising videos and several publicly available datasets demonstrate the effectiveness of the proposed method for multi-label annotation with label relevance
Hu, H, Zhao, J, Liu, X & Guo, Y 2016, 'Magnetic Field and Force Calculation in Linear Permanent-Magnet Synchronous Machines Accounting for Longitudinal End Effect', IEEE Transactions on Industrial Electronics, vol. 63, no. 12, pp. 7632-7643.
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© 1982-2012 IEEE. This paper presents an improved analytical method for predicting the magnetic field and forces in linear permanent-magnet synchronous machines (LPMSMs) accounting for both the primary end effect and secondary end effect. So far, the magnetic field calculation of LPMSM in most studies is conducted in Cartesian coordinate, whereas the end effect is neglected by applying periodic boundary. In this paper, to implement the analytical model, a polar presentation of the machine geometry is proposed and the subdomain method is applied to calculate the magnetic field. Then, according to the developed model, the tangential thrust and normal forces are calculated based on the Maxwell stress theory. Numerical results are subsequently obtained by finite-element method and employed to validate the analytical model. Finally, an LPMSM prototype is manufactured and experiments are conducted. The results show that the developed analytical model has high accuracy for predicting the magnetic field and forces.
Hu, L, Yang, Z, Cui, L, Li, Y, Ngo, HH, Wang, Y, Wei, Q, Ma, H, Yan, L & Du, B 2016, 'Fabrication of hyperbranched polyamine functionalized graphene for high-efficiency removal of Pb(II) and methylene blue', Chemical Engineering Journal, vol. 287, pp. 545-556.
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© 2015 Elsevier B.V. Multifunctional hyperbranched polyamine modified graphene oxide (HPA-GO) was successfully prepared and characterized by Fourier transform infrared spectroscopy (FTIR), thermogravimetric analysis (TGA), X-ray diffraction (XRD), zeta potential and scanning electron microscope (SEM) analyses. HPA-GO exhibited excellent adsorption performance for the removal of a heavy metal (Pb(II)) and a dye (methylene blue (MB)). The equilibrium adsorption capacity was 819.7 mg g-1 for Pb(II) and 740.7 mg g-1 for MB under the optimal conditions. The pseudo-second order equation and the Langmuir model exhibited good correlation with the adsorption kinetic and isotherm data, respectively, for these two pollutants. The thermodynamic results (ΔG<0, ΔH>0, ΔS>0) implied that the adsorption process of Pb(II) and MB was feasible, endothermic and spontaneous in nature. A possible adsorption mechanism has been proposed where chelation and electrostatic attraction dominated the adsorption of Pb(II) and π-π stacking interactions and electrostatic attraction dominated the adsorption of MB. In addition, the excellent reproducibility endowed HPA-GO with the potential for application in water treatment.
Hu, Y, Gan, C, Cao, W, Zhang, J, Li, W & Finney, SJ 2016, 'Flexible Fault-Tolerant Topology for Switched Reluctance Motor Drives', IEEE Transactions on Power Electronics, vol. 31, no. 6, pp. 4654-4668.
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Hu, Y, Wang, XC, Tian, W, Ngo, HH & Chen, R 2016, 'Towards stable operation of a dynamic membrane bioreactor (DMBR): Operational process, behavior and retention effect of dynamic membrane', Journal of Membrane Science, vol. 498, pp. 20-29.
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Hu, Y, Wang, XC, Yu, Z, Ngo, HH, Sun, Q & Zhang, Q 2016, 'New insight into fouling behavior and foulants accumulation property of cake sludge in a full-scale membrane bioreactor', Journal of Membrane Science, vol. 510, pp. 10-17.
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Hu, Y, Zeng, R, Cao, W, Zhang, J & Finney, SJ 2016, 'Design of a Modular, High Step-Up Ratio DC–DC Converter for HVDC Applications Integrating Offshore Wind Power', IEEE Transactions on Industrial Electronics, vol. 63, no. 4, pp. 2190-2202.
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Huang, J, Yin, Y, Zhao, Y, Duan, Q, Wang, W & Yu, S 2016, 'A Game-Theoretic Resource Allocation Approach for Intercell Device-to-Device Communications in Cellular Networks', IEEE Transactions on Emerging Topics in Computing, vol. 4, no. 4, pp. 475-486.
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Device-to-device (D2D) communication is a recently emerged disruptive technology for enhancing the performance of current cellular systems. To successfully implement D2D communications underlaying cellular networks, resource allocation to D2D links is a critical issue, which is far from trivial due to the mutual interference between D2D users and cellular users. Most of the existing resource allocation research for D2D communications has primarily focused on the intracell scenario while leaving the intercell settings not considered. In this paper, we investigate the resource allocation issue for intercell scenarios where a D2D link is located in the overlapping area of two neighboring cells. Furthermore, we present three intercell D2D scenarios regarding the resource allocation problem. To address the problem, we develop a repeated game model under these scenarios. Distinct from existing works, we characterize the communication infrastructure, namely, base stations, as players competing resource allocation quota from D2D demand, and we define the utility of each player as the payoff from both cellular and D2D communications using radio resources. We also propose a resource allocation algorithm and protocol based on the Nash equilibrium derivations. Numerical results indicate that the developed model not only significantly enhances the system performance, including sum rate and sum rate gain, but also shed lights on resource configurations for intercell D2D scenarios.
Huang, K-C, Huang, T-Y, Chuang, C-H, King, J-T, Wang, Y-K, Lin, C-T & Jung, T-P 2016, 'An EEG-Based Fatigue Detection and Mitigation System', International Journal of Neural Systems, vol. 26, no. 04, pp. 1650018-1650018.
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Research has indicated that fatigue is a critical factor in cognitive lapses because it negatively affects an individual’s internal state, which is then manifested physiologically. This study explores neurophysiological changes, measured by electroencephalogram (EEG), due to fatigue. This study further demonstrates the feasibility of an online closed-loop EEG-based fatigue detection and mitigation system that detects physiological change and can thereby prevent fatigue-related cognitive lapses. More importantly, this work compares the efficacy of fatigue detection and mitigation between the EEG-based and a nonEEG-based random method. Twelve healthy subjects participated in a sustained-attention driving experiment. Each participant’s EEG signal was monitored continuously and a warning was delivered in real-time to participants once the EEG signature of fatigue was detected. Study results indicate suppression of the alpha- and theta-power of an occipital component and improved behavioral performance following a warning signal; these findings are in line with those in previous studies. However, study results also showed reduced warning efficacy (i.e. increased response times (RTs) to lane deviations) accompanied by increased alpha-power due to the fluctuation of warnings over time. Furthermore, a comparison of EEG-based and nonEEG-based random approaches clearly demonstrated the necessity of adaptive fatigue-mitigation systems, based on a subject’s cognitive level, to deliver warnings. Analytical results clearly demonstrate and validate the efficacy of this online closed-loop EEG-based fatigue detection and mitigation mechanism to identify cognitive lapses that may lead to catastrophic incidents in countless operational environments.
Huang, S & Dissanayake, G 2016, 'A critique of current developments in simultaneous localization and mapping', International Journal of Advanced Robotic Systems, vol. 13, no. 5, pp. 172988141666948-172988141666948.
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The number of research publications dealing with the simultaneous localization and mapping problem has grown significantly over the past 15 years. Many fundamental and practical aspects of simultaneous localization and mapping have been addressed, and some efficient algorithms and practical solutions have been demonstrated. The aim of this paper is to provide a critical review of current theoretical understanding of the fundamental properties of the SLAM problem, such as observability, convergence, achievable accuracy and consistency. Recent research outcomes associated with these topics are briefly discussed together with potential future research directions.
Huang, S, Zhang, J, Wang, L & Hua, X-S 2016, 'Social Friend Recommendation Based on Multiple Network Correlation', IEEE TRANSACTIONS ON MULTIMEDIA, vol. 18, no. 2, pp. 287-299.
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© 2015 IEEE. Friend recommendation is an important recommender application in social media. Major social websites such as Twitter and Facebook are all capable of recommending friends to individuals. However, most of these websites use simple friend recommendation algorithms such as similarity, popularity, or 'friend's friends are friends,' which are intuitive but consider few of the characteristics of the social network. In this paper we investigate the structure of social networks and develop an algorithm for network correlation-based social friend recommendation (NC-based SFR). To accomplish this goal, we correlate different 'social role' networks, find their relationships and make friend recommendations. NC-based SFR is characterized by two key components: 1) related networks are aligned by selecting important features from each network, and 2) the network structure should be maximally preserved before and after network alignment. After important feature selection has been made, we recommend friends based on these features. We conduct experiments on the Flickr network, which contains more than ten thousand nodes and over 30 thousand tags covering half a million photos, to show that the proposed algorithm recommends friends more precisely than reference methods.
Huang, X, Guo, YJ & Zhang, JA 2016, 'Transceiver I/Q Imbalance Self-Calibration With Phase-Shifted Local Loopback for Multichannel Microwave Backhaul', IEEE Transactions on Wireless Communications, vol. 15, no. 11, pp. 7657-7669.
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© 2002-2012 IEEE. Frequency-dependent I/Q imbalance estimation and compensation are of significant practical importance to low-cost wideband systems with an I/Q modulation architecture. To enable multichannel transmission without inter-channel interference, transmitter I/Q imbalance must be pre-compensated to meet stringent transmit mask requirement. In this paper, a simple frequency domain joint transmitter and receiver I/Q imbalance estimation method is proposed for self-calibration of such wideband multichannel transceivers. Using two frequency domain training signals and a phase shifter inserted in the transceiver local loopback channel, the transmitter and receiver I/Q imbalances can be estimated separately. The estimation errors are also analyzed and the mean square error lower bounds are derived. Simulation results are in good agreement with analytical ones. Compared with existing methods, the proposed technique demonstrates better image rejection performance and quicker adaptation to parameter changes, making it more applicable to many wireless systems, especially the multichannel microwave backhaul, for achieving high data rates with high-order modulation and wide transmission bandwidth.
Huang, X, Zhang, J, Fan, L, Wu, Q & Yuan, C 2016, 'A Systematic Approach for Cross-source Point Cloud Registration by Preserving Macro and Micro Structures', IEEE Transactions on Image Processing, vol. 26, no. 7, pp. 3261-3276.
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We propose a systematic approach for registering cross-source point clouds.The compelling need for cross-source point cloud registration is motivated bythe rapid development of a variety of 3D sensing techniques, but many existingregistration methods face critical challenges as a result of the largevariations in cross-source point clouds. This paper therefore illustrates anovel registration method which successfully aligns two cross-source pointclouds in the presence of significant missing data, large variations in pointdensity, scale difference and so on. The robustness of the method is attributedto the extraction of macro and micro structures. Our work has three maincontributions: (1) a systematic pipeline to deal with cross-source point cloudregistration; (2) a graph construction method to maintain macro and microstructures; (3) a new graph matching method is proposed which considers theglobal geometric constraint to robustly register these variable graphs.Compared to most of the related methods, the experiments show that the proposedmethod successfully registers in cross-source datasets, while other methodshave difficulty achieving satisfactory results. The proposed method also showsgreat ability in same-source datasets.
Huang, Y & Hong, G 2016, 'Investigation of the effect of heated ethanol fuel on combustion and emissions of an ethanol direct injection plus gasoline port injection (EDI + GPI) engine', Energy Conversion and Management, vol. 123, pp. 338-347.
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© 2016 Elsevier Ltd Ethanol direct injection plus gasoline port injection (EDI + GPI) is a new technology to utilise ethanol fuel more efficiently and flexibly in spark ignition engines. One issue needs to be addressed in the development of EDI + GPI is the ethanol fuel's low vapour pressure and large latent heat which slow down the ethanol's evaporation and result in the mixture unready for combustion by the time of spark ignition and the consequent increase of CO and HC emissions. Heating the ethanol fuel to be directly injected (EDI heating) has been proposed to address this issue. This paper reports the investigation of the effect of EDI heating on the combustion and emissions of a research engine equipped with EDI + GPI. The results showed that EDI heating effectively reduced the CO and HC emissions of the engine due to the increase of evaporation rate and reduced fuel impingement and local over-cooling. The reduction of CO and HC became more significant with the increase of ethanol ratio. When the temperature of the ethanol fuel was increased by 40 °C, the CO and HC were reduced by as much as 43% and 51% respectively in EDI only condition at the original spark timing of 15 CAD BTDC, and 15% and 47% respectively at the minimum spark advance for best torque (MBT) timing of 19 CAD BTDC. On the other hand, the NO emission was slightly increased, but still much smaller than that in GPI only condition due to the strong cooling effect and low combustion temperature of EDI. The IMEP and combustion speed were slightly reduced by EDI heating due to the decrease of injector fuel flow rate and spray collapse of flash-boiling. The largest decrease of IMEP was 5% at the original spark timing and 3% at the MBT timing. Moreover, at the MBT timing, the IMEP increased continuously with the increase of ethanol ratio in the entire range from 0% to 100%. This indicated that the decrease of IMEP in high ethanol ratio conditions at the original spark timing could be avo...
Huang, Y, Hong, G & Huang, R 2016, 'Effect of injection timing on mixture formation and combustion in an ethanol direct injection plus gasoline port injection (EDI+GPI) engine', Energy, vol. 111, pp. 92-103.
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© 2016 Elsevier Ltd. Ethanol direct injection plus gasoline port injection (EDI+GPI) is a new technology to utilise ethanol fuel more effectively and efficiently in spark-ignition engines by taking the advantages of ethanol fuel and direct injection, such as the cooling effect and anti-knock ability. A full cycle numerical modelling including both port and direct injection sprays was performed to understand the mechanisms behind the experimental results of the EDI+GPI engine. The turbulence-chemistry interaction of the two-fraction-mixture partially premixed combustion was solved by a five-dimensional presumed Probability Density Function table. Effects of direct injection timing on fuel evaporation, mixing, wall-wetting, combustion and emission processes were investigated. The results showed that when the direct injection timing was retarded, the mixture around the spark plug became leaner and the distribution of equivalence ratio became more uneven. Moreover, late direct injection resulted in severe fuel impingement and caused local over-cooling effect and over-rich mixture. Consequently, the combustion speed and temperature were decreased by retarded direct injection timing, leading to reduced NO emission and increased HC and CO emissions. Finally, numerical modelling was performed to investigate the strategy of injecting small amount of ethanol fuel on reducing the fuel impingement and incomplete combustion caused by late direct injection.
Huang, Y, Huang, S, Huang, R & Hong, G 2016, 'Spray and evaporation characteristics of ethanol and gasoline direct injection in non-evaporating, transition and flash-boiling conditions', Energy Conversion and Management, vol. 108, pp. 68-77.
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© 2015 Elsevier Ltd. Ethanol direct injection plus gasoline port injection (EDI + GPI) represents a more efficient and flexible way to utilize ethanol fuel in spark ignition engines. To exploit the potentials of EDI, the mixture formation characteristics need to be investigated. In this study, the spray and evaporation characteristics of ethanol and gasoline fuels injected from a multi-hole injector were investigated by high speed Shadowgraphy imaging technique in a constant volume chamber. The experiments covered a wide range of fuel temperature from 275 K (non-evaporating) to 400 K (flash-boiling) which corresponded to cold start and running conditions in an engine. The spray transition process from normal-evaporating to flash-boiling was investigated in greater details than the existed studies. Results showed that ethanol and gasoline sprays demonstrated the same patterns in non-evaporating conditions. The sprays could be considered as non-evaporating when vapour pressure was lower than 30 kPa. Ethanol evaporated more slowly than gasoline did in low temperature environment, but they reached the similar evaporation rates when temperature was higher than 375 K. This suggested that EDI should only be applied in high temperature engine environment. For both ethanol and gasoline sprays, when the excess temperature was smaller than 4 K, the sprays behaved the same as the subcooled sprays did. The sprays collapsed when the excess temperature was 9 K. Flash-boiling did not occur until the excess temperature reached 14 K. The fuel temperature changed not only the spray evaporation modes but also the breakup mechanisms.
Huang, Y, Thoms, JAI, Tursky, ML, Knezevic, K, Beck, D, Chandrakanthan, V, Suryani, S, Olivier, J, Boulton, A, Glaros, EN, Thomas, SR, Lock, RB, MacKenzie, KL, Bushweller, JH, Wong, JWH & Pimanda, JE 2016, 'MAPK/ERK2 phosphorylates ERG at serine 283 in leukemic cells and promotes stem cell signatures and cell proliferation', LEUKEMIA, vol. 30, no. 7, pp. 1552-1561.
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© 2016 Macmillan Publishers Limited. Aberrant ERG (v-ets avian erythroblastosis virus E26 oncogene homolog) expression drives leukemic transformation in mice and high expression is associated with poor patient outcomes in acute myeloid leukemia (AML) and T-acute lymphoblastic leukemia (T-ALL). Protein phosphorylation regulates the activity of many ETS factors but little is known about ERG in leukemic cells. To characterize ERG phosphorylation in leukemic cells, we applied liquid chromatography coupled tandem mass spectrometry and identified five phosphorylated serines on endogenous ERG in T-ALL and AML cells. S283 was distinct as it was abundantly phosphorylated in leukemic cells but not in healthy hematopoietic stem and progenitor cells (HSPCs). Overexpression of a phosphoactive mutant (S283D) increased expansion and clonogenicity of primary HSPCs over and above wild-type ERG. Using a custom antibody, we screened a panel of primary leukemic xenografts and showed that ERG S283 phosphorylation was mediated by mitogen-activated protein kinase/extracellular signal-regulated kinase (MAPK/ERK) signaling and in turn regulated expression of components of this pathway. S283 phosphorylation facilitates ERG enrichment and transactivation at the ERG +85 HSPC enhancer that is active in AML and T-ALL with poor prognosis. Taken together, we have identified a specific post-translational modification in leukemic cells that promotes progenitor proliferation and is a potential target to modulate ERG-driven transcriptional programs in leukemia.
Huang, Y, Zhang, Y, Youtie, J, Porter, AL & Wang, X 2016, 'How Does National Scientific Funding Support Emerging Interdisciplinary Research: A Comparison Study of Big Data Research in the US and China', PLOS ONE, vol. 11, no. 5, pp. e0154509-e0154509.
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How do funding agencies ramp-up their capabilities to support research in a rapidly emerging
area? This paper addresses this question through a comparison of research proposals
awarded by the US National Science Foundation (NSF) and the National Natural Science
Foundation of China (NSFC) in the field of Big Data. Big data is characterized by its size
and difficulties in capturing, curating, managing and processing it in reasonable periods of
time. Although Big Data has its legacy in longstanding information technology research, the
field grew very rapidly over a short period. We find that the extent of interdisciplinarity is a
key aspect in how these funding agencies address the rise of Big Data. Our results show
that both agencies have been able to marshal funding to support Big Data research in multiple
areas, but the NSF relies to a greater extent on multi-program funding from different
fields. We discuss how these interdisciplinary approaches reflect the research hot-spots
and innovation pathways in these two countries.
Hunt, A, Thomas, P, James, D, David, B, Geneste, J-M, Delannoy, J-J & Stuart, B 2016, 'The characterisation of pigments used in X-ray rock art at Dalakngalarr 1, central-western Arnhem Land', Microchemical Journal, vol. 126, pp. 524-529.
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© 2016 Elsevier B.V. The chemistry of pigments used to create rock art at a rock shelter in northern Australia has characterised so as to gain a better understanding of the origins of the colours used. The site, Dalakngalarr 1, located in Jawoyn Country in Arnhem Land contains hundreds of paintings in various colours and styles. Striking and well-preserved X-ray images were painted across the site using ochre pigments that contain an iron oxide colourant mixed with clay to produce yellow, red and a distinctive purple colour. Infrared and Raman microscopy were used to confirm that the yellow pigment colouration is due to the presence of goethite. Both the red and purple pigments were shown to contain haematite, but there are microstructural differences between the two that account for the differences in the observed colour. Optical microscopy and scanning electron microscopy also demonstrate differences in the morphologies of the red and purple pigments. The purple pigment was found to a have a pure haematite structure, which is proposed to result from heating of the pigment source.
Husev, O, Blaabjerg, F, Roncero-Clemente, C, Romero-Cadaval, E, Vinnikov, D, Siwakoti, YP & Strzelecki, R 2016, 'Comparison of Impedance-Source Networks for Two and Multilevel Buck–Boost Inverter Applications', IEEE Transactions on Power Electronics, vol. 31, no. 11, pp. 7564-7579.
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© 2016 IEEE. Impedance-source networks are an increasingly popular solution in power converter applications, especially in single-stage buck-boost power conversion to avoid additional front-end dc-dc power converters. In the survey papers published, no analytical comparisons of different topologies have been described, which makes it difficult to choose the best option. Thus, the aim of this paper is to present a comprehensive analytical comparison of the impedance-source-based buck-boost inverters in terms of passive component count and semiconductor stress. Based on the waveform of the input current, i.e., with or without a transformer, and with or without inductor coupling, the impedance-source converters are classified. The main criterion in our comprehensive comparison is the energy stored in the passive elements, which is considered both under constant and predefined high frequency current ripple in the inductors and the voltage ripple across the capacitors. Two-level and multilevel solutions are described. The conclusions provide a 'one-stop' information source and a selection guide of impedance-source-based buck-boost inverters for different applications.
Hussain, W, Hussain, FK, Hussain, OK & Chang, E 2016, 'Provider-Based Optimized Personalized Viable SLA (OPV-SLA) Framework to Prevent SLA Violation', The Computer Journal, vol. 59, no. 12, pp. 1760-1783.
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Service level agreement (SLA) is an essential agreement formed between a consumer and a provider in business activities. The SLA defines the business terms, objectives, obligations and commitment of both parties to a business activity, and in cloud computing it also defines a consumer's request for both fixed and variable resources, due to the elastic and dynamic nature of the cloud-computing environment. Providers need to thoroughly analyze such variability when forming SLAs to ensure they commit to the agreements with consumers and at the same time make the best use of available resources and obtain maximum returns. They can achieve this by entering into viable SLAs with consumers. A consumer's profile becomes a key element in determining the consumer's reliability, as a consumer who has previous service violation history is more likely to violate future service agreements; hence, a provider can avoid forming SLAs with such consumers. In this paper, we propose a novel optimal SLA formation architecture from the provider's perspective, enabling the provider to consider a consumer's reliability in committing to the SLA. We classify existing consumers into three categories based on their reliability or trustworthiness value and use that knowledge to ascertain whether to accept a consumer request for resource allocation, and then to determine the extent of the allocation. Our proposed architecture helps the service provider to monitor the behavior of service consumers in the post-interaction time phase and to use that information to form viable SLAs in the pre-interaction time phase to minimize service violations and penalties.
Hussaini, SKK, Indraratna, B & Vinod, JS 2016, 'A laboratory investigation to assess the functioning of railway ballast with and without geogrids', Transportation Geotechnics, vol. 6, pp. 45-54.
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Idrees, M & Pradhan, B 2016, 'Hybrid Taguchi-Objective Function optimization approach for automatic cave bird detection from terrestrial laser scanning intensity image', International Journal of Speleology, vol. 45, no. 3, pp. 289-301.
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This paper proposes an optimized Taguchi-objective function segmentation-based image analysis to detect bird nests in a cave from high resolution terrestrial laser scanning intensity images. First, the Taguchi orthogonal array was used to design 25 experiments with three segmentation parameters: scale, shape, and compactness, each having five variable factor levels. Then, a plateau objective function was computed for each experiment using their respective level combinations. A merger of the factor level combination in the orthogonal array and the computed plateau objective function values was used to generate main effects and interaction plots for signal-to-noise ratios, which provided a measure of robustness for scale, shape, and compactness factors. The optimized parameters were used in the segmentation process in eCognition. The image object was then classified into nest and cave-wall on the basis of laser return intensity and area index using knowledge-based rule sets, and the detection accuracy was evaluated. The result produced area under ROC curve of 0.93 with P<0.0001 at 95% confidence level. This indicates that the proposed method is effective for distinguishing birds from cave-wall with high precision. The classification result was transferred to ArcGIS where the detected nests were counted after post-classification editing. A total number of 25,959 nests were counted from the seven scan scenes used. This shows that the fusion of Taguchi and objective function is indeed an effective method to determine optimal segmentation parameters to group image objects as small as birds within a segment. Moreover, the use of segments’ spectral intensity value and area index increased classification accuracy significantly. Further, the method was tested for reliability using six additional images. The test of heterogeneity using Cochran’s Q and Inconsistency tests produced a P value of 0.384 and I2 value of 5.10% at 95% confidence interval, respectively. Th...
Idrees, MO, Pradhan, B, Buchroithner, MF, Shafri, HZM & Khairunniza Bejo, S 2016, 'Assessing the transferability of a hybrid Taguchi-objective function method to optimize image segmentation for detecting and counting cave roosting birds using terrestrial laser scanning data', Journal of Applied Remote Sensing, vol. 10, no. 3, pp. 035023-035023.
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Imdadul, HK, Masjuki, HH, Kalam, MA, Zulkifli, NWM, Alabdulkarem, A, Rashed, MM & Ashraful, AM 2016, 'Influences of ignition improver additive on ternary (diesel-biodiesel-higher alcohol) blends thermal stability and diesel engine performance', Energy Conversion and Management, vol. 123, pp. 252-264.
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Indraratna, B 2016, '1st Proctor Lecture of ISSMGE:', Transportation Geotechnics, vol. 7, pp. 74-114.
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Indraratna, B, Israr, J & Rujikiatkamjorn, C 2016, 'Closure to “Geometrical Method for Evaluating the Internal Instability of Granular Filters Based on Constriction Size Distribution” by Buddhima Indraratna, Jahanzaib Israr, and Cholachat Rujikiatkamjorn', Journal of Geotechnical and Geoenvironmental Engineering, vol. 142, no. 9, pp. 07016022-07016022.
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Indraratna, B, Kan, ME, Potts, D, Rujikiatkamjorn, C & Sloan, SW 2016, 'Analytical solution and numerical simulation of vacuum consolidation by vertical drains beneath circular embankments', Computers and Geotechnics, vol. 80, pp. 83-96.
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Indraratna, B, Nguyen, TT, Carter, J & Rujikiatkamjorn, C 2016, 'Influence of biodegradable natural fibre drains on the radial consolidation of soft soil', Computers and Geotechnics, vol. 78, pp. 171-180.
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Natural prefabricated vertical drains (NPVDs) produced from biodegradable materials such as jute and coir have some distinct advantages over conventional polymeric prefabricated vertical drains (CPVDs). For instance, NPVDs are not only able to discharge excess pore pressure effectively but are also beneficial to the environment thanks to their biodegradability. However, due to the biodegradability of the natural fibres, NPVDs can sometimes deteriorate too quickly in an adverse environment such as in highly acidic clay, which hampers the dissipation of excess pore pressure. In this paper, an analytical solution for radial consolidation that considers the time-dependent decay of drain discharge capacity is therefore proposed. The solution is applied to an exponential form of reduction of the drain discharge capacity, and then verified with the experimental results obtained in previous studies. The effect of drain degradation on soil consolidation is simulated using a finite element method (ABAQUS) and these numerical results are then compared to those obtained from the analytical approach. In addition, a new and flexible method using a matching factor to convert the parameters from axisymmetric to plane strain models is introduced and applied to radial consolidation. The modelling outcomes indicate a significant retardation of excess pore pressure dissipation due to drain degradation and this suggests the need to exercise caution when using biodegradable NPVDs.
Indraratna, B, Nimbalkar, S & Rujikiatkamjorn, C 2016, 'A critical review of rail track geotechnologies considering increased speeds and axle loads', Geotechnical Engineering, vol. 47, no. 4, pp. 50-60.
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Ballasted railroads are designed to provide high speed commuter and heavy haul transportation. Ballast is one of most important load bearing components of the track substructure. However, it often experiences excessive settlement, lateral deformation and particle breakage when subjected to large dynamic (cyclic and impact) stresses. In addition, tracks constructed along coastal areas often undergo large settlements over soft compressible estuarine deposits, leading to frequent and costly track maintenance. The use of artificial inclusions such as geogrids, geocomposites, shock-mats (rubber) and prefabricated vertical drains (PVDs) are attractive options to maintain the vertical and horizontal alignment of tracks and to curtail excessive maintenance costs. This critical review paper provides a deeper insight to the recent advancements in rail track geotechnology at increased train speeds and axle loads.
Indraratna, B, Nimbalkar, SS, Ngo, NT & Neville, T 2016, 'Performance improvement of rail track substructure using artificial inclusions – Experimental and numerical studies', Transportation Geotechnics, vol. 8, pp. 69-85.
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© 2016 Elsevier Ltd Large and frequent loads from heavy freight and passenger trains often lead to the progressive track deterioration. The excessive deformation and degradation of ballast and unacceptable differential settlement of track and/or pumping of underlying soft subgrade soils necessitates frequent and costly track maintenance. However, artificial inclusions such as geogrids and shockmats can mitigate ballast degradation and improve track performance. A quantitative assessment of the influence of breakage, fouling, and the effects of artificial inclusions on the shear behaviour of ballast can be performed either experimentally or numerically. Numerical modelling can simulate these aspects subject to various types of loading and boundary conditions for a range of material properties so in this study, the stress–strain and degradation response of ballast was analysed through discrete element (DEM) and finite element (FEM) methods. In DEM, irregularly shaped ballast aggregates were simulated by clumping together spheres in appropriate sizes and positions. In FEM, a composite multi-layer track system was simulated and an elasto-plastic model with a non-associative flow rule was used to capture ballast degradation. These DEM and FEM simulations showed a good agreement with large-scale laboratory tests. This paper outlines the advantages of the proposed DEM and FEM models in terms of capturing the correct stress–strain and degradation response of ballast with particular emphasis on particle breakage and fouling, as well as applications of geosynthetic grids and shockmats.
Indraratna, B, Sun, Y & Nimbalkar, S 2016, 'Laboratory Assessment of the Role of Particle Size Distribution on the Deformation and Degradation of Ballast under Cyclic Loading', Journal of Geotechnical and Geoenvironmental Engineering, vol. 142, no. 7, pp. 04016016-04016016.
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© 2016 American Society of Civil Engineers. The deformation and degradation of ballast is influenced by the size of the aggregates. In this study, a series of cyclic drained triaxial tests was conducted on ballast with different sizes using the large-scale cylindrical triaxial apparatus designed and built at the University of Wollongong, and two different frequencies of cyclic loading were used to simulate low-speed and high-speed trains. From the laboratory results, coarse particles experience less vertical and lateral strains, whereas the volumetric strains decrease and then increase as the coefficient of uniformity increases, regardless of the loading frequency. Resistance to deformation and degradation is found to be improved by increasing ballast density. Different trends between the extent of breakage and particle size are observed for different breakage indices, and accordingly the extent of breakage is characterized into two distinct zones, depending on the coefficient of uniformity (Cu), where the significantly reduced breakage corresponds to a value of Cu larger than 1.8. The variation of particle shape before and after test is also quantified. A new particle size distribution that incorporates the size characteristics is proposed, as a result of this study.
Indraratna, B, Zhong, R & Rujikiatkamjorn, C 2016, 'An Analytical Model of PVD-assisted Soft Ground Consolidation', Procedia Engineering, vol. 143, pp. 1376-1383.
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Iranmanesh, S, Mehrali, M, Sadeghinezhad, E, Ang, BC, Ong, HC & Esmaeilzadeh, A 2016, 'Evaluation of viscosity and thermal conductivity of graphene nanoplatelets nanofluids through a combined experimental–statistical approach using respond surface methodology method', International Communications in Heat and Mass Transfer, vol. 79, pp. 74-80.
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Irfansyah, AN, Nicholson, AP, Iberzanov, A, Jenkins, J, Lehmann, T & Hamilton, TJ 2016, 'Automatic tuning of digitally-controllable positive-feedback OTAs in continuous-time sigma–delta modulators', Analog Integrated Circuits and Signal Processing, vol. 89, no. 2, pp. 469-483.
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© 2016, Springer Science+Business Media New York. This paper proposes a technique suitable for on-chip tuning of digitally-tunable positive-feedback operational transconductor amplifiers in a continuous-time sigma–delta modulator (CT-SDM) with active-RC integrator stages. The work we present relies on phase shift and offset measurement of individual active-RC integrator stages output using comparators to estimate output conductance, DC-gain, and common mode level of the differential output signals. The tuning methodology aims to tune the integrator stages to achieve sufficient DC-gain as required by the SDM. We present experimental results to confirm the correlation of our integrator phase and output offset detection technique with the operational transconductance amplifier (OTA) DC gain. We employ this technique in a tuning process of two digitally-tunable OTA chips implemented in complementary metal-oxide semiconductor 180 nm process configured in a second-order CT-SDM circuit with discrete components. The tuning algorithm results in a measured signal-to-noise and distortion ratio (SNDR) of 46.97 dB, which is close to the maximum SNDR of 47.83 dB achievable across a subset of the digitally-tunable OTA code space. High-speed operation of the CT-SDM and tuning circuitry has been verified through circuit simulations.
Islam, MM, Hassan, MH, Kalam, MA, Zulkifli, NWBM, Habibullah, M & Hossain, MM 2016, 'Improvement of cold flow properties of Cocos nucifera and Calophyllum inophyllum biodiesel blends using polymethyl acrylate additive', Journal of Cleaner Production, vol. 137, pp. 322-329.
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Islam, MT, Abdullah, AB, Shahir, SA, Kalam, MA, Masjuki, HH, Shumon, R & Rashid, MH 2016, 'A public survey on knowledge, awareness, attitude and willingness to pay for WEEE management: Case study in Bangladesh', Journal of Cleaner Production, vol. 137, pp. 728-740.
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Islam, SU, Rahman, H, Abbasi, WS, Saha, SC & Shahina, T 2016, 'Numerical investigation of flow past a row of rectangular rods', Alexandria Engineering Journal, vol. 55, no. 3, pp. 2351-2365.
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Israr, J, Indraratna, B & Rujikiatkamjorn, C 2016, 'Laboratory Investigation of the Seepage Induced Response of Granular Soils Under Static and Cyclic Loading', Geotechnical Testing Journal, vol. 39, no. 5, pp. 20150288-20150288.
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Izadyar, N, Ong, HC, Chong, WT & Leong, KY 2016, 'Resource assessment of the renewable energy potential for a remote area: A review', Renewable and Sustainable Energy Reviews, vol. 62, pp. 908-923.
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Izadyar, N, Ong, HC, Chong, WT, Mojumder, JC & Leong, KY 2016, 'Investigation of potential hybrid renewable energy at various rural areas in Malaysia', Journal of Cleaner Production, vol. 139, pp. 61-73.
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Jamil, S, Jeong, S & Vigneswaran, S 2016, 'Application of pressure assisted forward osmosis for water purification and reuse of reverse osmosis concentrate from a water reclamation plant', SEPARATION AND PURIFICATION TECHNOLOGY, vol. 171, pp. 182-190.
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Jangid, J, Bera, AK, Joseph, M, Singh, V, Singh, TP, Pradhan, BK & Das, S 2016, 'Potential zones identification for harvesting wind energy resources in desert region of India – A multi criteria evaluation approach using remote sensing and GIS', Renewable and Sustainable Energy Reviews, vol. 65, pp. 1-10.
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Renewable energy is considered to be one of the viable options in consideration of intense economic development and increasing energy consumption. With maturity of advanced technologies, economical viable and environmental friendly, wind energy has become one of the fastest growing sources of renewable energy in the world. This study focuses on the combined use of geographic information systems (GIS) and spatial multi-criteria decision analysis for selecting the most appropriate sites for wind-farm development projects. This paper utilized wind speed data over a period of almost 20 years between 1991 and 2010 from different stations to assess the wind power potential sites. The wind energy potential zones were grouped into four categories as “high suitable”, “moderate suitable”, “low suitable” and “not suitable”. The results show that the study area has 12.20% (2787.78 km2) as high suitable, 17.06% (3899.78 km2) as moderate suitable and 11.06% (2528.61 km2) as low suitable. The most potential suitable sites were located in the northwestern (along Osian, Shergargh, Dechu, and Shaitrawa, Phalodi) of Jodhpur district, India. This scientific approach will enable resource managers during planning process to make informed decisions.
Jayasinghe, C, Fonseka, WMCDJ & Abeygunawardhene, YM 2016, 'Load bearing properties of composite masonry constructed with recycled building demolition waste and cement stabilized rammed earth', Construction and Building Materials, vol. 102, pp. 471-477.
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Jayawardana, D, Kharkovsky, S, Liyanapathirana, R & Zhu, X 2016, 'Measurement System With Accelerometer Integrated RFID Tag for Infrastructure Health Monitoring', IEEE Transactions on Instrumentation and Measurement, vol. 65, no. 5, pp. 1163-1171.
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This paper presents a measurement system for measuring dynamic acceleration of infrastructure remotely using semipassive radio-frequency identification (RFID) tag. This measurement is critical to the vibration-based method for infrastructure health monitoring. Design considerations of accelerometer integrated ultrahigh-frequency RFID tag and dynamic acceleration measurements through an RFID wireless link are discussed. Measurement results of the system for a structural specimen have shown that it is capable of acquiring data which provides the information of natural frequency of the structural specimen. Moreover, the system can distinctively identify the state changes of the structural specimen by natural frequency shifts. These results are benchmarked against the results obtained with two commercial systems. It is shown that the standard deviation of the measurement of the natural frequency is ±0.01 Hz which is very close to the standard deviation of the commercial measurement systems.
Jayawickrama, BA, Dutkiewicz, E, Mueck, M & He, Y 2016, 'On the Usage of Geolocation-Aware Spectrum Measurements for Incumbent Location and Transmit Power Detection', IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 65, no. 10, pp. 8177-8189.
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© 2017 IEEE. Determining the geographical area that needs to be excluded due to incumbent activity is critical to realize high spectral utilization in spectrum sharing networks. This can be achieved by estimating the incumbent location and transmit power. However, keeping the hardware complexity of sensing nodes to a minimum and scalability are critical for spectrum sharing applications with commercial intent. We present a discrete-space l1-norm minimization solution based on geolocation-aware energy detection measurements. In practice, the accuracy of geolocation tagging is limited. We capture the impact as a basis mismatch and derive the necessary condition that needs to be satisfied for successful detection of multiple incumbents' location and transmit power. We find the upper bound for the probability of eliminating the impact of limited geolocation tagging accuracy in a lognormal shadow fading environment, which is applicable to all generic I1-norm minimization techniques. We propose an algorithm based on orthogonal matching pursuit that decreases the residual in each iteration by allowing a selected set of basis vectors to rotate in a controlled manner. Numerical evaluation of the proposed algorithm in a Licensed Shared Access (LSA) network shows a significant improvement in the probability of missed detection and false alarm.
Jegatheesan, JV, Chiemchaisri, C, Shu, L & Guo, W 2016, 'Special issue on Challenges in Environmental Science and Engineering (CESE-2015)', Bioresource Technology, vol. 210, pp. 1-1.
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Jeong, S, Cho, K, Bae, H, Keshvardoust, P, Rice, SA, Vigneswaran, S, Lee, S & Leiknes, T 2016, 'Effect of microbial community structure on organic removal and biofouling in membrane adsorption bioreactor used in seawater pretreatment', Chemical Engineering Journal, vol. 294, pp. 30-39.
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Jeong, S, Naidu, G, Vollprecht, R, Leiknes, T & Vigneswaran, S 2016, 'In-depth analyses of organic matters in a full-scale seawater desalination plant and an autopsy of reverse osmosis membrane', Separation and Purification Technology, vol. 162, pp. 171-179.
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Jeong, S, Nguyen, TV, Vigneswaran, S, Kandasamy, J & Dharmabalan, D 2016, 'Removal of natural organic matter at the Gunbower water treatment plant in northern Victoria, Australia', Desalination and Water Treatment, vol. 57, no. 20, pp. 9061-9069.
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© 2015 Balaban Desalination Publications. All rights reserved. Advanced treatment processes are vital if organic matter is to be removed from water as efficiently as possible. To produce high quality water that has low concentrations of natural organic matter (NOM), the Gunbower water treatment plant (WTP) in northern Victoria, Australia has implemented a number of processes including magnetic ion exchange (MIEX), coagulation, clarifier, ultrafiltration (UF), and granular activated carbon (GAC) filtration. This research evaluated the efficiencies of these processes in removing NOM employing various analytical methods, namely liquid chromatography–organic carbon detector (LC–OCD) and three-dimensional fluorescence excitation emission matrix (3D-FEEM). In addition, the fouling potential of source water and treated water was assessed using a modified fouling index with ultrafiltration (MFI-UF). Biological stability was also tested using a modified assimilable organic carbon (AOC) detection method. The combination of MIEX, clarifier, coagulation, UF membrane, and GAC filtration resulted in dissolved organic carbon (DOC) being removed (from 6.01 to 0.47 mg/L). Furthermore 3D-FEEM analysis revealed that these treatment processes reduced humic and fulvic-like organics. AOC and MFI-UF decreased from 79.94 μg-C glucose equivalents/L and 46,350 s/L2 in the source water to 4.06 μg-C glucose equivalents/L and 2,057 s/L2 in the treated water, respectively.
Jeong, S, Vollprecht, R, Cho, K, Leiknes, T, Vigneswaran, S, Bae, H & Lee, S 2016, 'Advanced organic and biological analysis of dual media filtration used as a pretreatment in a full-scale seawater desalination plant', Desalination, vol. 385, pp. 83-92.
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Ji, L-Y, Qin, P-Y, Guo, YJ, Ding, C, Fu, G & Gong, S-X 2016, 'A Wideband Polarization Reconfigurable Antenna With Partially Reflective Surface', IEEE Transactions on Antennas and Propagation, vol. 64, no. 10, pp. 4534-4538.
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© 2016 IEEE. A novel partially reflective surface (PRS) antenna is proposed, which can electronically alter its polarization between linear polarization, left-hand circular polarization (CP), and right-hand CP. The antenna consists of a shorted annular patch antenna as the source, a PRS structure to enhance the gain, and a reconfigurable Wilkinson power divider as the feed network. Four p-i-n diodes are inserted into each branch of the power divider to change its electrical length. By switching the p-i-n diodes ON and OFF, a phase difference of 0°, 90°, or -90° can be realized at the two output ports of the feed network, hence enabling the antenna to radiate either a linearly polarized signal or left/right-handed circularly polarized signal. A prototype antenna with the biasing network is designed, fabricated, and measured. Good agreement between the simulated and measured results is achieved. Measurement results show that the proposed antenna has an overlapped 10-dB impedance bandwidth and 3-dB axial-ratio bandwidth of 4.7-5.36 GHz (13.1%). The average realized gains are ∼9 dBi/dBic, which remain reasonably stable for different polarizations. The proposed antenna outperforms most of the reported polarization reconfigurable antennas for its wide bandwidth and relatively high gain.
Jia, H, Yang, G, Wang, J, Ngo, HH, Guo, W, Zhang, H & Zhang, X 2016, 'Performance of a microbial fuel cell-based biosensor for online monitoring in an integrated system combining microbial fuel cell and upflow anaerobic sludge bed reactor', Bioresource Technology, vol. 218, pp. 286-293.
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© 2016. A hybrid system integrating a microbial fuel cell (MFC)-based biosensor with upflow anaerobic sludge blanket (UASB) was investigated for real-time online monitoring of the internal operation of the UASB reactor. The features concerned were its rapidity and steadiness with a constant operation condition. In addition, the signal feedback mechanism was examined by the relationship between voltage and time point of changed COD concentration. The sensitivity of different concentrations was explored by comparing the signal feedback time point between the voltage and pH. Results showed that the electrical signal feedback was more sensitive than pH and the thresholds of sensitivity were S = 3 × 10-5 V/(mg/L) and S = 8 × 10-5 V/(mg/L) in different concentration ranges, respectively. Although only 0.94% of the influent COD was translated into electricity and applied for biosensing, this integrated system indicated great potential without additional COD consumption for real-time monitoring.
Jia, Y, Liu, Y, Guo, YJ, Li, K & Gong, S-X 2016, 'Broadband Polarization Rotation Reflective Surfaces and Their Applications to RCS Reduction', IEEE Transactions on Antennas and Propagation, vol. 64, no. 1, pp. 179-188.
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© 2015 IEEE. A novel broadband polarization rotation (PR) reflective surface (PRRS) with a high polarization conversion ratio (PCR) is proposed, which can reflect the linearly polarized incident wave with 90° PR. The proposed PRRS consists of a periodic array of square patches printed on a substrate, which is backed by a metallic ground. By connecting the square patch with the ground using two nonsymmetric vias, a 49% PR bandwidth is achieved with a high PCR of 96%, which is a significant improvement from the state-of-the-art 29% PR bandwidth. Moreover, the frequency responses within the operation frequency band are consistent under oblique incident waves. Furthermore, another ultra-wideband PRRS with a periodic array of quasi-L-shaped patches is proposed, which increases the PR bandwidth further to 103%. In addition, the designed PRRS is applied to wideband radar cross section (RCS) reduction. Different arrangements of the unit cells of the PRRS are proposed and their effects on RCS reduction are investigated. To validate the simulation results, prototypes of the PRRSs are fabricated and measured. The measured results are in good agreement with the simulated ones.
Jialin, H, Guangquan, Z, Yaoguang, H & Jie, L 2016, 'A solution to bi/tri-level programming problems using particle swarm optimization', INFORMATION SCIENCES, vol. 370, pp. 519-537.
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© 2016 Elsevier Inc. Multilevel (including bi-level and tri-level) programming aims to solve decentralized decision-making problems that feature interactive decision entities distributed throughout a hierarchical organization. Since the multilevel programming problem is strongly NP-hard and traditional exact algorithmic approaches lack efficiency, heuristics-based particle swarm optimization (PSO) algorithms have been used to generate an alternative for solving such problems. However, the existing PSO algorithms are limited to solving linear or small-scale bi-level programming problems. This paper first develops a novel bi-level PSO algorithm to solve general bi-level programs involving nonlinear and large-scale problems. It then proposes a tri-level PSO algorithm for handling tri-level programming problems that are more challenging than bi-level programs and have not been well solved by existing algorithms. For the sake of exploring the algorithms' performance, the proposed bi/tri-level PSO algorithms are applied to solve 62 benchmark problems and 810 large-scale problems which are randomly constructed. The computational results and comparison with other algorithms clearly illustrate the effectiveness of the proposed PSO algorithms in solving bi-level and tri-level programming problems.
Jian, S, Hossein Rashidi, T, Wijayaratna, KP & Dixit, VV 2016, 'A Spatial Hazard-Based analysis for modelling vehicle selection in station-based carsharing systems', Transportation Research Part C: Emerging Technologies, vol. 72, pp. 130-142.
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Carsharing, as an alternative to private vehicle ownership, has spread worldwide in recent years due to its potential of reducing congestion, improving auto utilization rate and limiting the environmental impact of emissions release. To determine the most efficient allocation of resources within a carsharing program, it is critical to understand what factors affect the users’ behavior when selecting vehicles. This study attempts to investigate the importance of users’ attributes and fleet characteristics on choice set formation behavior in selecting vehicles using a Spatial Hazard Based Model (SHBM). In the SHBM model, “distance to a vehicle” is considered as the prospective decision criteria that carsharing users follow when evaluating the set of alternative vehicles. This variable is analogous to the duration in a conventional hazard-based model. In addition, user socio-demographic attributes, vehicle characteristics, land use type of the trip origin, etc., collected from the Australian carsharing company GoGet are utilized to parameterize the shape/scale/location parameter of the hazard function. A number of forms of parametric SHBMs are tested to determine the best fit to the data. The accelerated failure time model with a Log-logistic distribution was found to provide the best fit. The estimation results of the coefficients of the parameters can provide a starting point for carsharing organizations to optimize their pod locations and types of cars available at different pods to maximize usage.
Jiang, J, Chen, Q & Nimbalkar, S 2016, 'Field Data Based Method for Predicting Long-Term Settlements', American Journal of Engineering and Applied Sciences, vol. 9, no. 3, pp. 466-476.
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© 2016 Jianping Jiang, Qingsheng Chen and Sanjay Nimbalkar. The estimation of the long-term foundation settlement in soft soil is very complex, which is attributed to a number of uncertainties associated with various factors, such as: (i) The compressibility parameters obtained in the laboratory from samples of relatively small size that are more homogeneous compared to heterogeneous field sediments in which various soil types may be interlayered at random and may occur without exhibiting any real stratification; (ii) limitations and unrealistic assumptions prevailing in the conventional consolidation analysis. These have often resulted in the large discrepancy between actual in-situ settlements and the predictions from the conventional consolidation models (e.g., Terzaghi’s model). In this study, a field data based method inspired from an observational approach is proposed and validated against a number of high quality long-term field settlement data. Moreover, the corresponding geological soil properties obtained from field and laboratory tests have been presented, with the aim of providing useful practical references for other projects with similar geological profile. Furthermore, the proposed model is compared with existing prediction models. The results show that the newly proposed model can provide more reliable and accurate prediction of foundation settlements compared with other methods established in practice.
Jiang, P, Liu, F & Song, Y 2016, 'A Hybrid Multi-Step Model for Forecasting Day-Ahead Electricity Price Based on Optimization, Fuzzy Logic and Model Selection', Energies, vol. 9, no. 8, pp. 618-618.
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Jiang, P, Liu, F, Wang, J & Song, Y 2016, 'Cuckoo search-designated fractal interpolation functions with winner combination for estimating missing values in time series', Applied Mathematical Modelling, vol. 40, no. 23-24, pp. 9692-9718.
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Jiang, YB, He, N, Zhou, YZ, Xu, BH & Lin, ZQ 2016, 'Concept and measuring technique of groundwater level in vacuum preloading', Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering, vol. 38, no. 10, pp. 1917-1922.
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Nowadays there are controversial viewpoints on variation rules of groundwater level in vacuum preloading technique due to insufficient analysis of concepts and shortcomings of measuring techniques. In this study, based on the status of the water in soil, the potential energy condition of the groundwater level and the reference datum, the groundwater level in vacuum preloading is redefined as the absolute elevation of a surface where the gravity field hydraulic pressure component of the gravity water in the soil is zero. In addition, two basic conditions, which are required to meet the accuracy criteria of groundwater level measurements in vacuum preloading, are proposed. Then, the water lifting function in filter pipe section and the confining effect in impermeable pipe section, which are two negative effects of the existing measuring techniques of groundwater level affected by the distribution of the filter pipe, are analyzed. Consequently, a sectional type buoy groundwater measuring technique is put forward, including the full outer filter tube installed in the foundation and the built-in partition sectional type buoy water level indicator with the special rubber concave-convex partition. It is a method which can keep sealing while measuring, overcoming the negative effects of the distribution of the filter pipe. This proposed technique is theoretically suitable for measuring groundwater level under negative pressure and sealing membrane in vacuum preloading practice.
Jin, P, Wang, X, Zhang, Q, Wang, X, Ngo, HH & Yang, L 2016, 'A new activated primary tank developed for recovering carbon source and its application', Bioresource Technology, vol. 200, pp. 722-730.
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Johir, MAH, Nguyen, TT, Mahatheva, K, Pradhan, M, Ngo, HH, Guo, W & Vigneswaran, S 2016, 'Removal of phosphorus by a high rate membrane adsorption hybrid system', Bioresource Technology, vol. 201, pp. 365-369.
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© 2015 Elsevier Ltd Membrane adsorption hybrid system (MAHS) was evaluated for the removal of phosphate from a high rate membrane bioreactor (HR-MBR) effluent. The HR-MBR was operated at permeate flux of 30 L/m2 h. The results indicated that the HR-MBR could eliminate 93.1 ± 1.5% of DOC while removing less than 53% phosphate (PO4-P). Due to low phosphate removal by HR-MBR, a post-treatment of strong base anion exchange resin (Dowex∗21K-XLT), and zirconium (IV) hydroxide were used as adsorbent in MAHS for further removal of phosphate from HR-MBR effluent. It was found that the MAHS enabled to eliminate more than 85% of PO4-P from HR-MBR effluent. Hence, HR-MBR followed by MAHS lead to simultaneous removal of organics and phosphate in a reliable manner. The experiments were conducted only for a short period to investigate the efficiency of these resins/adsorbents on the removal of phosphorus and high rate MBR for organic removal.
Johir, MAH, Pradhan, M, Loganathan, P, Kandasamy, J & Vigneswaran, S 2016, 'Phosphate adsorption from wastewater using zirconium (IV) hydroxide: Kinetics, thermodynamics and membrane filtration adsorption hybrid system studies', JOURNAL OF ENVIRONMENTAL MANAGEMENT, vol. 167, pp. 167-174.
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© 2015 Elsevier Ltd. Excessive phosphate in wastewater should be removed to control eutrophication of water bodies. The potential of employing amorphous zirconium (Zr) hydroxide to remove phosphate from synthetic wastewater was studied in batch adsorption experiments and in a submerged membrane filtration adsorption hybrid (MFAH) reactor. The adsorption data satisfactorily fitted to Langmuir, pseudo-first order and pseudo-second order models. Langmuir adsorption maxima at 22 °C and pHs of 4.0, 7.1, and 10.0 were 30.40, 18.50, and 19.60 mg P/g, respectively. At pH 7.1 and temperatures of 40 °C and 60 °C, they were 43.80 and 54.60 mg P/g, respectively. The thermodynamic parameters, δG° and δS° were negative and δH° was positive. FTIR, zeta potential and competitive phosphate, sulphate and nitrate adsorption data showed that the mechanism of phosphate adsorption was inner-sphere complexation. In the submerged MFAH reactor experiment, when Zr hydroxide was added at doses of 1-5 g/L once only at the start of the experiment, the removal of phosphate from 3 L of wastewater containing 10 mg P/L declined after 5 h of operation. However, when Zr hydroxide was repeatedly added at 5 g/L dose every 24 h, satisfactory removal of phosphate was maintained for 3 days.
Johir, MAH, Shim, WG, Pradhan, M, Vigneswaran, S & Kandasamy, J 2016, 'Benefit of adding adsorbent in submerged membrane microfiltration treatment of wastewater', Desalination and Water Treatment, vol. 57, no. 44, pp. 1-11.
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In this study, the effect of coupling ion-exchange resin (purolite) and powdered activated carbon (PAC) in a submerged membrane reactor was investigated in terms of (i) removal of different classes of organic matter and (ii) reduction of membrane fouling. The degree of fouling in a membrane hybrid system was modelled in terms of transmembrane pressure development and organic removal efficiency using a simple semi-empirical model. Among these three absorbents, PAC was the most effective with higher removal efficiency for DOC (almost 100% reduction of hydrophobic organic compounds). Excitation–emission matrix analysis and LC–OCD were employed for the detailed organic characterisation.
Joshi, RG, Chelliah, J, Sood, S & Burdon, S 2016, 'Nature and spirit of exchange and interpersonal relationships fostering grassroots innovations', The Journal of Developing Areas, vol. 50, no. 6, pp. 399-409.
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Exchange and interpersonal relationships are central to the functioning and sustainability of socio-economic activities, including innovation. Grassroots innovations (GI) are dynamic and relational phenomena that evolve with grassroots innovators’ beliefs, expectations and obligatory relationships for varied resources, and the actualization of their desire to make novel and beneficial products. In this paper, the dynamics of exchange and interpersonal relationships that underpin the GI phenomenon are explored through the lens of exchange theory and the consideration of the psychological contract. While exchange theory provides an explanation for the interdependent and dyadic socio-economic relations present in GI, the psychological contract provides a view on the perceptions and expectations that are embedded in exchange and innovation activities. These two theoretical lenses serve as a foundation for the research to engage with the subjective reality of the grassroots innovators’ experiences. In examining the subjective reality of the innovation experiences of the grassroots innovators; the research thereby discerns the dominant form of exchange and socio-economic structure that fosters GI from ideation to commercial scaling. Through the use of phenomenological exploration and detailed thematic analysis of the innovation experiences of the thirteen Indian grassroots innovators, the research determined the nature and spirit of the relational commercial exchanges that both entail and foster GI. The paper starts off with the discussion of the theoretical foundations of the research. Thereafter, the paper briefly discusses the research methodology and the exchange dynamics present in GI. In assimilating the research findings, the paper enlists the features of exchanges embedded in GI phenomenon and highlights the capacity of relational commercial exchanges in fostering GI. The paper further proposes, through this discussion, an interpretive framework for u...
Juang, C-F, Jeng, T-L & Chang, Y-C 2016, 'An Interpretable Fuzzy System Learned Through Online Rule Generation and Multiobjective ACO With a Mobile Robot Control Application', IEEE Transactions on Cybernetics, vol. 46, no. 12, pp. 2706-2718.
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Kaiwartya, O, Abdullah, AH, Cao, Y, Altameem, A, Prasad, M, Lin, C-T & Liu, X 2016, 'Internet of Vehicles: Motivation, Layered Architecture, Network Model, Challenges, and Future Aspects', IEEE Access, vol. 4, pp. 5356-5373.
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© 2013 IEEE. Internet of Things is smartly changing various existing research areas into new themes, including smart health, smart home, smart industry, and smart transport. Relying on the basis of 'smart transport,' Internet of Vehicles (IoV) is evolving as a new theme of research and development from vehicular ad hoc networks (VANETs). This paper presents a comprehensive framework of IoV with emphasis on layered architecture, protocol stack, network model, challenges, and future aspects. Specifically, following the background on the evolution of VANETs and motivation on IoV an overview of IoV is presented as the heterogeneous vehicular networks. The IoV includes five types of vehicular communications, namely, vehicle-to-vehicle, vehicle-to-roadside, vehicle-to-infrastructure of cellular networks, vehicle-to-personal devices, and vehicle-to-sensors. A five layered architecture of IoV is proposed considering functionalities and representations of each layer. A protocol stack for the layered architecture is structured considering management, operational, and security planes. A network model of IoV is proposed based on the three network elements, including cloud, connection, and client. The benefits of the design and development of IoV are highlighted by performing a qualitative comparison between IoV and VANETs. Finally, the challenges ahead for realizing IoV are discussed and future aspects of IoV are envisioned.
Kalam, MA, Rashed, MM, Imdadul, HK & Masjuki, HH 2016, 'Property development of fatty acid methyl ester from waste coconut oil as engine fuel', Industrial Crops and Products, vol. 87, pp. 333-339.
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Kalaruban, M, Loganathan, P, Shim, WG, Kandasamy, J, Naidu, G, Nguyen, TV & Vigneswaran, S 2016, 'Removing nitrate from water using iron-modified Dowex 21K XLT ion exchange resin: Batch and fluidised-bed adsorption studies', SEPARATION AND PURIFICATION TECHNOLOGY, vol. 158, pp. 62-70.
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© 2015 Elsevier B.V. All rights reserved. Elevated concentrations of nitrate in surface waters can cause eutrophication, while in drinking water they pose a threat to human health, especially causing blue baby syndrome in infants. An anion exchange resin - Dowex 21K XLT - was surface modified by incorporating Fe (Dowex-Fe) and tested to remove nitrate from aqueous solutions in batch and fluidised-bed adsorption experiments. Solution pH in the 4.0-7.5 range had no effect on nitrate adsorption. The adsorption data at pH 6.5 fitted well to the Langmuir model with maximum adsorption capacities of 27.6 mg N/g, and 75.3 mg N/g for Dowex and Dowex-Fe resins, respectively. Energy dispersion spectrometry and zeta potential measurements indicated that the increase in adsorption due to Fe impregnation was caused by additional surface positive charges induced on the resin by Fe. In both batch and fluidised-bed experiments, nitrate adsorption capacity declined markedly when sulphate was added, but phosphate and chloride additions had little effect. Batch kinetic data fitted well to the pseudo-first, pseudo-second and homogeneous surface diffusion models. Data from the fluidised-bed experiments satisfactorily fitted to the Thomas and plug-flow models. More than 95% of adsorbed nitrate was desorbed by 1 M KCl in all three adsorption/desorption cycles and the resins were successfully regenerated in each cycle with little reduction in adsorption capacity. No significant reduction in the Fe content of Dowex-Fe occurred during the regeneration.
Kalaruban, M, Loganathan, P, Shim, WG, Kandasamy, J, Ngo, HH & Vigneswaran, S 2016, 'Enhanced removal of nitrate from water using amine-grafted agricultural wastes', SCIENCE OF THE TOTAL ENVIRONMENT, vol. 565, pp. 503-510.
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© 2016 Elsevier B.V. Adsorption using low-cost adsorbents is a favourable water treatment method for the removal of water contaminants. In this study the enhanced removal of nitrate, a contaminant at elevated concentration affecting human health and causing eutrophication of water, was tested using chemically modified agricultural wastes as adsorbents. Batch and fixed-bed adsorption studies were performed on corn cob and coconut copra that were surface modified by amine-grafting to increase the surface positive charges. The Langmuir nitrate adsorption capacities (mg N/g) were 49.9 and 59.0 for the amine-grafted (AG) corn cob and coconut copra, respectively at pH 6.5 and ionic strength 1 × 10-3 M NaCl. These values are higher than those of many commercially available anion exchange resins. Fixed-bed (15-cm height) adsorption capacities (mg N/g) calculated from the breakthrough curves were 15.3 and 18.6 for AG corn cob and AG coconut copra, respectively, for an influent nitrate concentration 20 mg N/L at a flow velocity 5 m/h. Nitrate adsorption decreased in the presence of sulphate, phosphate and chloride, with sulphate being the most competitive anion. The Thomas model fitted well to the fixed-bed adsorption data from four repeated adsorption/desorption cycles. Plug-flow model fitted well to the data from only the first cycle.
Kalhori, H, Ye, L, Mustapha, S, Li, J & Li, B 2016, 'Reconstruction and Analysis of Impact Forces on a Steel-Beam-Reinforced Concrete Deck', Experimental Mechanics, vol. 56, no. 9, pp. 1547-1558.
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Kamal, S & Arefin, MS 2016, 'Impact analysis of facebook in family bonding', Social Network Analysis and Mining, vol. 6, no. 1.
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Kamal, S, Ripon, SH, Dey, N, Ashour, AS & Santhi, V 2016, 'A MapReduce approach to diminish imbalance parameters for big deoxyribonucleic acid dataset', Computer Methods and Programs in Biomedicine, vol. 131, pp. 191-206.
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Kamaleswaran, R & McGregor, C 2016, 'A Review of Visual Representations of Physiologic Data', JMIR Medical Informatics, vol. 4, no. 4, pp. e31-e31.
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Background
Physiological data is derived from electrodes attached directly to patients. Modern patient monitors are capable of sampling data at frequencies in the range of several million bits every hour. Hence the potential for cognitive threat arising from information overload and diminished situational awareness becomes increasingly relevant. A systematic review was conducted to identify novel visual representations of physiologic data that address cognitive, analytic, and monitoring requirements in critical care environments.
Objective
The aims of this review were to identify knowledge pertaining to (1) support for conveying event information via tri-event parameters; (2) identification of the use of visual variables across all physiologic representations; (3) aspects of effective design principles and methodology; (4) frequency of expert consultations; (5) support for user engagement and identifying heuristics for future developments.
Methods
A review was completed of papers published as of August 2016. Titles were first collected and analyzed using an inclusion criteria. Abstracts resulting from the first pass were then analyzed to produce a final set of full papers. Each full paper was passed through a data extraction form eliciting data for comparative analysis.
Results
In total, 39 full papers met all criteria and were selected for full review. Results revealed great diversity in visual representations of physiological data. Visual representations spanned 4 groups including tabular, graph-based, object-based, and metaphoric displays. The metaphoric display was the most popular (n=19), followed by waveform displays typical to the single-sensor-single-indicator paradigm (n=18), and finally object displays (n=9) that utilized spatiotemporal elements to highlight changes in physiologic status. Results obtained from experiments and evaluations suggest specifics related to the optimal use of visual variables, such as colo...
Kamaleswaran, R, Collins, C, James, A & McGregor, C 2016, 'PhysioEx: Visual Analysis of Physiological Event Streams', Computer Graphics Forum, vol. 35, no. 3, pp. 331-340.
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AbstractIn this work, we introduce a novel visualization technique, the Temporal Intensity Map, which visually integrates data values over time to reveal the frequency, duration, and timing of significant features in streaming data. We combine the Temporal Intensity Map with several coordinated visualizations of detected events in data streams to create PhysioEx, a visual dashboard for multiple heterogeneous data streams. We have applied PhysioEx in a design study in the field of neonatal medicine, to support clinical researchers exploring physiologic data streams. We evaluated our method through consultations with domain experts. Results show that our tool provides deep insight capabilities, supports hypothesis generation, and can be well integrated into the workflow of clinical researchers.
Kang, K & Sohaib, O 2016, 'Individualists vs. Collectivists in B2C E-Business Purchase Intention', Journal of Internet and e-business Studies, vol. 2016, pp. 1-11.
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The purpose of this study is to propose an interpersonal trust (iTrust) model to better understand the online consumer cognitive and affective reactions in a B2C website. This study provides proposition on the influence of culture (Individualistic and Collectivistic) on the relationship between cognitive-based and web design and affect-based trust to buyer behavior aspects towards purchase intention in B2C e-business website. It is important to understand online purchasing perceptions between two different cultural groups because the Individualistic online consumer trust may be higher than the Collectivistic and vice versa.
Kanimozhi, C, Kim, M, Larson, SR, Choi, JW, Choo, Y, Sweat, DP, Osuji, CO & Gopalan, P 2016, 'Isomeric Effect Enabled Thermally Driven Self-Assembly of Hydroxystyrene-Based Block Copolymers', ACS Macro Letters, vol. 5, no. 7, pp. 833-838.
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Karami, C, H Adli, A, Zhand, S, Tabarraei, A, Talei, R, Saeidi, M & Moradi, A 2016, 'Study of Genotype, Subtype and Mutation in the S Gene in Hepatitis B Patients Co-infected with HIV in Iran', Jundishapur Journal of Microbiology, vol. 9, no. 12, pp. 1-5.
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Background: Co-infection with human immunodeficiency virus (HIV) and hepatitis B virus (HBV) is common due to shared routes of transmission, as reported approximately 10% of 33 million HIV-infected patients worldwide are chronically infected with HBV. Mutations of HBsAg especially within the “a” determinant could alter the antigenicity of the protein, causing failure of HBsAg neutralization and escaping from the host’s immune system. This results in active viral replication and liver disease. Objectives: The aim of the survey was to identify HBV genotype and subtype, and different mutations in HBV S gene in hepatitis B patients co-infected with HIV in Iran. Methods: PCR performance and HBV-DNA extraction from plasma of 124 samples obtained from treatment naive HIV/HBV coinfected participants were according to the protocol. Direct sequencing and alignment of surface gene were carried out using reference sequences from the Gene Bank database. Results: From 124 HIV/HBV ELISA positive samples, 40 were HBV DNA-positive. Themean age of patients was 33.88 years. 20% of them were female and 80% were male. All isolates belonged to the sub genotype D1/ayw2 and genotype D. There were 50 point mutations including 23 (46%) missense and 27 (54%) silent mutations in amino acid level. Twenty three amino acid mutations occurred in different immune epitopes such as 11 (47.82%) in B cell, 6 (26.08%) in T helper and 2 (%8.6) in CTL. The prevalence of mutations in both “a” determinant region and Major Hydrophilic Region (MHR) was 5 (21.73%). Conclusions: Our findings showed that P127T and A70P (Outside of MHR) were the most frequently occurring substitution mutations. P127T, P132T, G130R, and S136Y substitutions placed in the first loop of the “a” determinant and the other substitutions of P142T and D144N occurred in the second loop of “a” determinant. The results of our study showed that most of the mutations occurred in B cell epitopes. The mutation in a surface gene of H...
Karimi Galougahi, K, Liu, C, Garcia, A, Gentile, C, Fry, NA, Hamilton, EJ, Hawkins, CL & Figtree, GA 2016, 'β3 Adrenergic Stimulation Restores Nitric Oxide/Redox Balance and Enhances Endothelial Function in Hyperglycemia', Journal of the American Heart Association, vol. 5, no. 2.
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Background Perturbed balance between NO and O 2 •− . (ie, NO/redox imbalance) is central in the pathobiology of diabetes‐induced vascular dysfunction. We examined whether stimulation of β 3 adrenergic receptors (β 3 ARs), coupled to endothelial nitric oxide synthase (eNOS) activation, would re‐establish NO/redox balance, relieve oxidative inhibition of the membrane proteins eNOS and Na + ‐K + (NK) pump, and improve vascular function in a new animal model of hyperglycemia. Methods and Results We established hyperglycemia in male White New Zealand rabbits by infusion of S961, a competitive high‐affinity peptide inhibitor of the insulin receptor. Hyperglycemia impaired endothelium‐dependent vasorelaxation by “uncoupling” of eNOS via glutathionylation (eNOS‐GSS) that was dependent on NADPH oxidase activity. Accordingly, NO levels were lower while O 2 •− levels were higher in hyperglycemic rabbits. Infusion of the β 3 AR agonist CL316243 (CL) decreased eNOS‐GSS, reduced O 2 •− , restored NO levels, and improved endothelium‐dependent relaxation. CL decreased hyperglycemia‐induced NADPH oxidase activation as suggested by co‐immunoprecipitation experiments, and it increased eNOS co‐immunoprecipitation w...
Karimi, M, Croaker, P & Kessissoglou, N 2016, 'Boundary element solution for periodic acoustic problems', Journal of Sound and Vibration, vol. 360, no. 6, pp. 129-139.
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This work shows when using the boundary element method to solve 3D acoustic scattering problems from periodic structures, the coefficient matrix can be represented as a block Toeplitz matrix. By exploiting the Toeplitz structure, the computational time and storage requirements to construct the coefficient matrix are significantly reduced. To solve the linear system of equations, the original matrix is embedded into a larger and more structured matrix called the block circulant matrix. Discrete Fourier transform is then employed in an iterative algorithm to solve the block Toeplitz system. To demonstrate the effectiveness of the formulation for periodic acoustic problems, two exterior acoustic case studies are considered. The first case study examines a continuous structure to predict the noise generated by a sharp-edged flat plate under quadrupole excitation. Directivity plots obtained using the periodic boundary element method technique are compared with numerical results obtained using a conventional boundary element model. The second case study examines a discrete periodic structure to predict the acoustic performance of a sonic crystal noise barrier. Results for the barrier insertion loss are compared with both finite element results and available data in the literature.
Kashani, AR, Gandomi, AH & Mousavi, M 2016, 'Imperialistic Competitive Algorithm: A metaheuristic algorithm for locating the critical slip surface in 2-Dimensional soil slopes', Geoscience Frontiers, vol. 7, no. 1, pp. 83-89.
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In this study, Imperialistic Competitive Algorithm (ICA) is utilized for locating the critical failure surface and computing the factor of safety (FOS) in a slope stability analysis based on the limit equilibrium approach. The factor of safety relating to each trial slip surface is calculated using a simplified algorithm of the Morgenstern-Price method, which satisfies both the force and the moment equilibriums. General slip surface is considered non-circular in this study that is constituted by linking random straight lines. To explore the performance of the proposed algorithm, four benchmark test problems are analyzed. The results demonstrate that the present techniques can provide reliable, accurate and efficient solutions for locating the critical failure surface and relating FOS. Moreover, in contrast with previous studies the present algorithm could reach the lower value of FOS and reached more exact solutions.
Kehrel, U, Klischan, K & Sick, N 2016, 'Why Research Partnerships Fail in the Biotechnology Sector — An Empirical Analysis of Strategic Partnerships', International Journal of Innovation and Technology Management, vol. 13, no. 01, pp. 1650003-1650003.
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Over half of all research-oriented partnerships in the biotechnology industry fail due to problems in inter-organizational relationships. The analysis of factors that determine the success of strategic partnerships can help companies to reduce the high failure rates. Based on the resource-oriented and relationship-oriented approach, this study examines the influence of three structural factors and three dynamic factors on the success of strategic, research-oriented partnerships in the biotechnology industry. In the empirical study, data of 48 research collaborations by 28 companies were collected and analyzed. The results confirm the significant influence of the factors “complementary resources”, “operational compatibility”, “bilateral exchange of information” and “opportunistic behavior”. On the basis of these findings, companies can find approaches to influence the success of their own research collaborations. In particular, appropriate recommendations for action can be formulated in the areas of the structural design of partnerships and the dynamic exchange process.
Kermany, AR, Bennett, JS, Brawley, GA, Bowen, WP & Iacopi, F 2016, 'Factors affecting the f × Q product of 3C-SiC microstrings: What is the upper limit for sensitivity?', Journal of Applied Physics, vol. 119, no. 5, pp. 055304-055304.
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The fn × Q (Hz) is a crucial sensitivity parameter for micro-electro-mechanical sensing. We have recently shown a fn × Q product of ∼1012 Hz for microstrings made of cubic silicon carbide on silicon, establishing a new state-of-the-art and opening new frontiers for mass sensing applications. In this work, we analyse the main parameters influencing the frequency and quality factor of silicon carbide microstrings (material properties, microstring geometry, clamping condition, and environmental pressure) and investigate the potential for approaching the theoretical upper limit. We indicate that our previous result is only about a factor 2 lower than the thermoelastic dissipation limit. For fully reaching this upper limit, a substantial reduction of the defects in the silicon carbide thin film would be required, while maintaining a high residual tensile stress in the perfect-clamped strings.
Keshavarz, R, Mohammadi, A, Abdipour, A & Mirzavand, R 2016, 'A DUAL BAND E-CRLH FREQUENCY MULTIPLIER WITH TWO MULTIPLICATION FACTORS', Progress In Electromagnetics Research Letters, vol. 64, pp. 99-104.
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Keshavarzi, A, Hamidifar, H & Ball, J 2016, 'Bed morphology in vegetated estuarine river with mild-curved meander bend', Hydrological Sciences Journal, vol. 61, no. 11, pp. 2033-2049.
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In this study, the effect of single and double row piles for reducing scouring in a mild-curved river meander was studied experimentally. The experimental study focused on the effect of vegetation on bed topography in a mild-curved meander bend. The experimental tests were conducted in a laboratory flume under clear water flow conditions. A series of experimental tests were carried out with a fixed bed and non-vegetated and vegetated moveable beds with different vegetation patterns. Analysis of the flow characteristics indicated that when the bed was mobile with vegetation on the inner bank, the core of maximum streamwise velocity shifted towards the centreline of the bend. Additionally, the cross-sectional kinetic energy increased from 0.05% for the fixed-bed test to 4.30% for the test with a double row of vegetation. Furthermore, the presence of vegetation was found to increase the uniformity of the distribution of turbulence intensity and to reduce the Reynolds shear stress along the test section. Also, the mass fluxes increased from the outer bank to the inner bank and from the upstream towards the downstream of the bend. Finally, comparison of bed topography in vegetated and non-vegetated channels showed that the maximum scour depth at the bend apex was reduced by 77% and 62% for the cases with one row and two rows of vegetation, respectively. The results of this study were compared with previously proposed models for predicting the vertical distribution of the streamwise velocity at the bend apex. It was found that Johannesson and Parker’s model (JPM) gave the lowest value of standard error. The above findings are useful in river training works and, in particular, for restoration of meandering rivers. Editor D. M.C. Acreman; Associate editor C. Cudennec
Keshavarzi, A, Omran, E-SE, Bateni, SM, Pradhan, B, Vasu, D & Bagherzadeh, A 2016, 'Modeling of available soil phosphorus (ASP) using multi-objective group method of data handling', Modeling Earth Systems and Environment, vol. 2, no. 3, p. 157.
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The accurate estimation of available soil phosphorus (ASP) is required for the effective management of environmental resources and improving agricultural productivity. Direct measurement of ASP at large scales is time-consuming and expensive. Therefore, many empirical models or pedotransfer functions (PTFs) have been developed to obtain ASP. This study introduces a new model that estimates ASP from easily measurable soil properties by using the multi-objective group method of data handling (mGMDH) approach. Organic carbon, clay content, calcium carbonate equivalent, pH and ASP were obtained from 100 soil samples, which were collected by the stratified random sampling strategy in Mashhad Plain, Khorasan-e-Razavi Province, Northeast Iran. The suggested model for the prediction of ASP generated satisfactory results in terms of the statistical performance criteria. The coefficient of determination (R2) and mean square error (MSE) values of the mGMDH model in training step were 0.606 and 4.9671 mg kg−1, respectively, whereas those were 0.504 and 5.6685 mg kg−1, in the testing step. It was concluded that only 50 % of variations of ASP could be described by selecting easy-to-measure soil variables and owing to the key role of phosphorus in soil fertility and precision agriculture, the other related factors such as terrain attributes and fertilizer management should also be considered as they influence the distribution of the soil phosphorus.
Khabbaz, H & Fatahi, B 2016, 'Environmental geotechnics challenges in Australia', Environmental Geotechnics, vol. 3, no. 1, pp. 2-3.
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Khalilpour, KR & Vassallo, A 2016, 'A generic framework for distributed multi-generation and multi-storage energy systems', ENERGY, vol. 114, no. C, pp. 798-813.
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We have introduced a generic decision support tool for concurrent optimal selection, sizing, and operation scheduling of grid-connected or off-grid multi-generation/multi-storage distributed generation and storage (DGS) systems with respect to the dynamics of historical/projected periodical weather data, electricity price, DGS system cost, DGS aging, and the major critical design and operational parameters. This decision support program enables the consumer (ranging from a small house to large-scale industrial plants) to implement the most efficient electricity management strategy while achieving the goal of minimizing the electricity bill.
Khalilpour, KR & Vassallo, A 2016, 'Technoeconomic parametric analysis of PV-battery systems', RENEWABLE ENERGY, vol. 97, no. C, pp. 757-768.
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Application of integrated PV-battery systems for off-grid locations has a history exceeding four decades. With the observed fast reduction of PV and battery system prices in recent years, however, interest in the use of PV-battery systems has notably increased even at on-grid locations. The aim of this paper is to assess the impact of various technoeconomic parameters, such as geographic location, weather condition, electricity price, feed-in tariff, PV/battery system cost, and PV/battery specifications on the economic feasibility of grid-connected PV-battery systems. For this, we have used our inhouse decision support tool for investment decision making, optimal sizing, and operation scheduling of grid-connected PV/battery system with respect to these parameters. The results show that decision on the selection of the right PV-battery system is significantly sensitive to each and every one of these parameters. Within various price scenarios that we carried out, battery shows positive impact on NPV only at low installation costs (e.g. ≤750 $/kWh). Neither the sales electricity tariff nor the feed-in tariff has alone a direct impact on the feasibility of installing a battery system. Rather, the magnitude of the difference between electricity price and feed-in tariff is the detrimental element in battery attractiveness. A case-study for Sydney, Australia, showed that at current sales/feed-in electricity tariffs, PV systems with prices of 2700 $/kW, or less, not only reach parity with the grid electricity price but also reach parity with feed-in tariff. This implies the viability of installing large PV systems merely for selling the generated electricity to the grid.
Khalilpour, R & Vassallo, A 2016, 'Planning and operation scheduling of PV-battery systems: A novel methodology', RENEWABLE & SUSTAINABLE ENERGY REVIEWS, vol. 53, no. C, pp. 194-208.
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The aim of this paper is to develop a decision support tool for investment decision making, optimal sizing, and operation scheduling of grid-connected PV/battery system with respect to dynamics of periodical weather data, electricity price, PV/battery system cost, PV/battery specifications, desired reliability, and other critical design and operational parameters.
Khan, I, Castel, A & Gilbert, RI 2016, 'Prediction of early-age creep and cracking age of concrete: a proposed modification for AS3600 provisions', Australian Journal of Structural Engineering, vol. 17, no. 2, pp. 151-166.
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© 2016 Engineers Australia. Early-age thermal and shrinkage-induced cracking is a major problem in concrete structures. The risk of early-age thermal cracking is increased if the degree of restraint to early-age contraction is increased. At this early age, tensile creep plays a key role in relaxing shrinkage-induced stresses and delaying the time to cracking. However, limited data are available concerning tensile creep of concrete and the magnitude and rate of development of the early-age shrinkage of Australian concrete. As a consequence, tensile creep is often poorly modelled in predictions of early-age cracking. The current method to calculate creep in the Australian Standard AS3600 is based on compressive creep data obtained from specimens loaded at ages generally greater than 14 days and cannot be used to predict very early-age creep confidently. In order to accurately quantify the early-age shrinkage and creep of concrete, a comprehensive experimental programme is being conducted at the UNSW Centre for Infrastructure Engineering and Safety. Creep and shrinkage strains were measured on different specimens subjected to sustained loading. Tests were conducted on two different concrete mixes of normal strength concrete (32 and 45 MPa). Restrained ring specimens were tested to observe the cracking age of concrete. A model is proposed to predict the early-age tensile creep of concrete.
Khan, MA, Ngo, HH, Guo, WS, Liu, Y, Nghiem, LD, Hai, FI, Deng, LJ, Wang, J & Wu, Y 2016, 'Optimization of process parameters for production of volatile fatty acid, biohydrogen and methane from anaerobic digestion', Bioresource Technology, vol. 219, pp. 738-748.
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© 2016 Elsevier Ltd The anaerobic digestion process has been primarily utilized for methane containing biogas production over the past few years. However, the digestion process could also be optimized for producing volatile fatty acids (VFAs) and biohydrogen. This is the first review article that combines the optimization approaches for all three possible products from the anaerobic digestion. In this review study, the types and configurations of the bioreactor are discussed for each type of product. This is followed by a review on optimization of common process parameters (e.g. temperature, pH, retention time and organic loading rate) separately for the production of VFA, biohydrogen and methane. This review also includes additional parameters, treatment methods or special additives that wield a significant and positive effect on production rate and these products’ yield.
Khan, MA, Ngo, HH, Guo, WS, Liu, YW, Zhou, JL, Zhang, J, Liang, S, Ni, BJ, Zhang, XB & Wang, J 2016, 'Comparing the value of bioproducts from different stages of anaerobic membrane bioreactors', Bioresource Technology, vol. 214, pp. 816-825.
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© 2016 Elsevier Ltd The anaerobic digestion process in anaerobic membrane bioreactors is an effective way for waste management, energy sustainability and pollution control in the environment. This digestion process basically involves the production of volatile fatty acids and biohydrogen as intermediate products and methane as a final product. This paper compares the value of bioproducts from different stages of anaerobic membrane bioreactors through a thorough assessment. The value was assessed in terms of technical feasibility, economic assessment, environmental impact and impact on society. Even though the current research objective is more inclined to optimize the production of methane, the intermediate products could also be considered as economically attractive and environment friendly options. Hence, this is the first review study to correlate the idea into an anaerobic membrane bioreactor which is expected to guide future research pathways regarding anaerobic process and its bioproducts.
Khan, MH, Casillas, G, Mitchell, DRG, Liu, HK, Jiang, L & Huang, Z 2016, 'Carbon- and crack-free growth of hexagonal boron nitride nanosheets and their uncommon stacking order', Nanoscale, vol. 8, no. 35, pp. 15926-15933.
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The quality of hexagonal boron nitride nanosheets (h-BNNS) is often associated with the most visible aspects such as lateral size and thickness. Less obvious factors such as sheet stacking order could also have a dramatic impact on the properties of BNNS and therefore its applications. The stacking order can be affected by contamination, cracks, and growth temperatures. In view of the significance of chemical-vapour-decomposition (CVD) assisted growth of BNNS, this paper reports on strategies to grow carbon- and crack-free BNNS by CVD and describes the stacking order of the resultant BNNS. Pretreatment of the most commonly used precursor, ammonia borane, is necessary to remove carbon contamination caused by residual hydrocarbons. Flattening the Cu and W substrates prior to growth and slow cooling around the Cu melting point effectively facilitate the uniform growth of h-BNNS, as a result of a minimal temperature gradient across the Cu substrate. Confining the growth inside alumina boats effectively minimizes etching of the nanosheet by silica nanoparticles originating from the commonly used quartz reactor tube. h-BNNS grown on solid Cu surfaces using this method adopt AB, ABA, AC', and AC'B stacking orders, which are known to have higher energies than the most stable AA' configuration. These findings identify a pathway for the fabrication of high-quality h-BNNS via CVD and should spur studies on stacking order-dependent properties of h-BNNS.
Khan, MI, Kamal, MS & Chowdhury, L 2016, 'MSuPDA: A Memory Efficient Algorithm for Sequence Alignment', Interdisciplinary Sciences: Computational Life Sciences, vol. 8, no. 1, pp. 84-94.
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Khan, MSH, Castel, A, Akbarnezhad, A, Foster, SJ & Smith, M 2016, 'Utilisation of steel furnace slag coarse aggregate in a low calcium fly ash geopolymer concrete', Cement and Concrete Research, vol. 89, pp. 220-229.
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This paper evaluates the performance of steel furnace slag (SFS) coarse aggregate in blended slag and low calcium fly ash geopolymer concrete (GPC). The geopolymer binder is composed of 90% of low calcium fly ash and 10% of ground granulated blast furnace slag (GGBFS). Mechanical and physical properties, shrinkage, and detailed microstructure analysis were carried out. The results showed that geopolymer concrete with SFS aggregate offered higher compressive strength, surface resistivity and pulse velocity than that of GPC with traditional aggregate. The shrinkage results showed no expansion or swelling due to delayed calcium oxide (CaO) hydration after 320 days. No traditional porous interfacial transition zone (ITZ) was detected using scanning electron microscopy, indicating a better bond between SFS aggregate and geopolymer matrix. Energy dispersive spectroscopy results further revealed calcium (Ca) diffusion at the vicinity of ITZ. Raman spectroscopy results showed no new crystalline phase formed due to Ca diffusion. X-ray fluorescence result showed Mg diffusion from SFS aggregate towards geopolymer matrix. The incorporation of Ca and Mg into the geopolymer structure and better bond between SFS aggregate and geopolymer matrix are the most likely reasons for the higher compressive strength observed in GPC with SFS aggregate.
Khanahmadi, S, Yusof, F, Chyuan Ong, H, Amid, A & Shah, H 2016, 'Cocoa pod husk: A new source of CLEA-lipase for preparation of low-cost biodiesel: An optimized process', Journal of Biotechnology, vol. 231, pp. 95-105.
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Khare, V, Shivakumara, P, Raveendran, P & Blumenstein, M 2016, 'A blind deconvolution model for scene text detection and recognition in video', Pattern Recognition, vol. 54, pp. 128-148.
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© 2016 Elsevier Ltd. Text detection and recognition in poor quality video is a challenging problem due to unpredictable blur and distortion effects caused by camera and text movements. This affects the overall performance of the text detection and recognition methods. This paper presents a combined quality metric for estimating the degree of blur in the video/image. Then the proposed method introduces a blind deconvolution model that enhances the edge intensity by suppressing blurred pixels. The proposed deblurring model is compared with other state-of-the-art models to demonstrate its superiority. In addition, to validate the usefulness and the effectiveness of the proposed model, we conducted text detection and recognition experiments on blurred images classified by the proposed model from standard video databases, namely, ICDAR 2013, ICDAR 2015, YVT and then standard natural scene image databases, namely, ICDAR 2013, SVT, MSER. Text detection and recognition results on both blurred and deblurred video/images illustrate that the proposed model improves the performance significantly.
Khezri, N, Mohamad, H & Fatahi, B 2016, 'Stability assessment of tunnel face in a layered soil using upper bound theorem of limit analysis', Geomechanics and Engineering, vol. 11, no. 4, pp. 471-492.
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Underground tunnelling is one of the sustainable construction methods which can facilitate the increasing passenger transportation in the urban areas and benefit the community in the long term. Tunnelling in various ground conditions requires careful consideration of the stability factor. This paper investigates three dimensional stability of a shallow circular tunnel in a layered soil. Upper bound theorem of limit analysis was utilised to solve the tunnel face stability problem. A three dimensional kinematic admissible failure mechanism was improved to model a layered soil and limiting assumptions of the previous studies were resolved. The study includes calculation of the minimum support pressure acting on the face of the excavation in closed-face excavations. The effects of the characteristics of the layers on the minimum support pressure were examined. It was found that the ratio of the thickness of cover layers particularly when a weak layer is overlying a stronger layer, has the most significant influence on the minimum tunnel support pressure. Comparisons have been made with the results of the numerical modelling using FLAC3D software. Results of the current study were in a remarkable agreement with those of numerical modelling.
Khoo, BL, Chaudhuri, PK, Ramalingam, N, Tan, DSW, Lim, CT & Warkiani, ME 2016, 'Single‐cell profiling approaches to probing tumor heterogeneity', International Journal of Cancer, vol. 139, no. 2, pp. 243-255.
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Tumor heterogeneity is a major hindrance in cancer classification, diagnosis and treatment. Recent technological advances have begun to reveal the true extent of its heterogeneity. Single‐cell analysis (SCA) is emerging as an important approach to detect variations in morphology, genetic or proteomic expression. In this review, we revisit the issue of inter‐ and intra‐tumor heterogeneity, and list various modes of SCA techniques (cell‐based, nucleic acid‐based, protein‐based, metabolite‐based and lipid‐based) presently used for cancer characterization. We further discuss the advantages of SCA over pooled cell analysis, as well as the limitations of conventional techniques. Emerging trends, such as high‐throughput sequencing, are also mentioned as improved means for cancer profiling. Collectively, these applications have the potential for breakthroughs in cancer treatment.
Khorsandnia, N, Valipour, H, Schänzlin, J & Crews, K 2016, 'Experimental Investigations of Deconstructable Timber–Concrete Composite Beams', Journal of Structural Engineering, vol. 142, no. 12, pp. 04016130-04016130.
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Khosoussi, K, Huang, S & Dissanayake, G 2016, 'A Sparse Separable SLAM Back-End', IEEE Transactions on Robotics, vol. 32, no. 6, pp. 1536-1549.
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© 2004-2012 IEEE. We propose a scalable algorithm to take advantage of the separable structure of simultaneous localization and mapping (SLAM). Separability is an overlooked structure of SLAM that distinguishes it from a generic nonlinear least-squares problem. The standard relative-pose and relative-position measurement models in SLAM are affine with respect to robot and features' positions. Therefore, given an estimate for robot orientation, the conditionally optimal estimate for the rest of the state variables can be easily computed by solving a sparse linear least-squares problem. We propose an algorithm to exploit this intrinsic property of SLAM by stripping the problem down to its nonlinear core, while maintaining its natural sparsity. Our algorithm can be used in conjunction with any Newton-based solver and is applicable to 2-D/3-D pose-graph and feature-based SLAM. Our results suggest that iteratively solving the nonlinear core of SLAM leads to a fast and reliable convergence as compared to the state-of-the-art sparse back-ends.
Khuat, TT & Le, MH 2016, 'A Novel Technique of Optimization for the COCOMO II Model Parameters using Teaching-Learning-Based Optimization Algorithm', Journal of Telecommunications and Information Technology, vol. 1/2016, no. 1, pp. 84-89.
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Software cost estimation is a critical activity in the development life cycle for controlling risks and planning project schedules. Accurate estimation of the cost before the start-up of a project is essential for both the developers and the customers. Therefore, many models were proposed to address this issue, in which COCOMO II has been being widely employed in actual software projects. Good estimation models, such as COCOMO II, can avoid insufficient resources being allocated to a project. However, parameters for estimation formula in this model have not been optimized yet, and so the estimated results are not close to the actual results. In this paper, a novel technique to optimize the coefficients for COCOMO II model by using teaching-learning-based optimization (TLBO) algorithm is proposed. The performance of the model after optimizing parameters was tested on NASA software project dataset. The obtained results indicated that the improvement of parameters provided a better estimation capabilities compared to the original COCOMO II model.
Khuat, TT & Le, MH 2016, 'Optimizing parameters of software effort estimation models using directed artificial bee colony algorithm', Informatica (Slovenia), vol. 40, no. 4, pp. 427-436.
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Effective software effort estimation is one of the challenging tasks in software engineering. There have been various alternatives introduced to enhance the accuracy of predictions. In this respect, estimation approaches based on algorithmic models have been widely used. These models consider modeling software effort as a function of the size of the developed project. However, most approaches sharing a common thread of complex mathematical models face the difficulties in parameters calibration and tuning. This study proposes using a directed artificial bee colony algorithm in order to tune the values of model parameters based on past actual effort. The proposed methods were verified with NASA software dataset and the obtained results were compared to the existing models in other literature. The results indicated that our proposal has significantly improved the performance of the estimations.
Khuat, TT, Le, QC, Nguyen, BL & Le, MH 2016, 'Forecasting Stock Price using Wavelet Neural Network Optimized by Directed Artificial Bee Colony Algorithm', Journal of Telecommunications and Information Technology, vol. 2016, no. 2, pp. 43-52.
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Stock prediction with data mining techniques is one of the most important issues in finance. This field has attracted great scientific interest and has become a crucial research area to provide a more precise prediction process. This study proposes an integrated approach where Haar wavelet transform and Artificial Neural Network optimized by Directed Artificial Bee Colony algorithm are combined for the stock price prediction. The proposed approach was tested on the historical price data collected from Yahoo Finance with different companies. Furthermore, the prediction result was found satisfactorily enough as a guide for traders and investors in making qualitative decisions.
Khushaba, RN, Al-Timemy, A, Kodagoda, S & Nazarpour, K 2016, 'Combined influence of forearm orientation and muscular contraction on EMG pattern recognition', EXPERT SYSTEMS WITH APPLICATIONS, vol. 61, pp. 154-161.
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Kiani, B, Gandomi, AH, Sajedi, S & Liang, RY 2016, 'New Formulation of Compressive Strength of Preformed-Foam Cellular Concrete: An Evolutionary Approach', Journal of Materials in Civil Engineering, vol. 28, no. 10, pp. 04016092-04016092.
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In the present study, new empirical models are derived to predict the compressive strength of preformed foam cellular concrete using volumetric and weighted approaches. The proposed models are generated by utilizing a robust predictive tool known as genetic programming. A comprehensive database is collected from the literature to cover a wide range of mixture components (such as sand and pozzolans) and mix proportions. The models link the compressive strength to binder, water, and foam volume. Validation of the best model is carried out by using a portion of the data set that is not employed in the calibration process. A comparative study is conducted to evaluate the performance of the proposed model versus other models presented in the literature. Sensitivity and parametric analyses were conducted. The final model has a simple formulation and provides better prediction performance than the other models in the literature.
Kianinia, M, Tawfik, SA, Regan, B, Tran, TT, Ford, MJ, Aharonovich, I & Toth, M 2016, 'Robust Solid State Quantum System Operating at 800 K', ACS Photonics, vol. 4, no. 4, pp. 768-773.
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Realization of Quantum information and communications technologies requiresrobust, stable solid state single photon sources. However, most existingsources cease to function above cryogenic or room temperature due to thermalionization or strong phonon coupling which impede their emissive and quantumproperties. Here we present an efficient single photon source based on a defectin a van der Waals crystal that is optically stable and operates at elevatedtemperatures of up to 800 K. The quantum nature of the source and the photonpurity are maintained upon heating to 800 K and cooling back to roomtemperature. Our report of a robust high temperature solid state single photonsource constitutes a significant step to-wards practical, integrated quantumtechnologies for real-world environments.
Kim, J, Fu, Q, Scofield, JMP, Kentish, SE & Qiao, GG 2016, 'Ultra-thin film composite mixed matrix membranes incorporating iron(iii)–dopamine nanoparticles for CO2separation', Nanoscale, vol. 8, no. 15, pp. 8312-8323.
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Iron dopamine nanoparticles (FeDA NPs) are incorporated into a nanoscale thick polyethylene glycol (PEG) matrix for the first time, to form ultra-thin film composite mixed matrix membranes (UTFC-MMMs) via a recently developed continuous assembly of polymers (CAP) nanotechnology. The FeDA NPs are prepared by in situ nano-complexation between Fe(3+) and DA and have a particle size that can be varied from 3 to 74 nanometers by adjusting the molar ratio of DA to Fe(3+) ion. The cross-linked selective layer with sub 100 nanometer thickness is prepared by atom transfer radical polymerisation of a mixture of PEG macrocross-linkers and FeDA NPs on top of a highly permeable poly(dimethyl siloxane) (PDMS) prelayer, which is spin-coated onto a porous polyacrylonitrile (PAN) substrate. The incorporation of the FeDA NPs within the PEG-based selective layer is confirmed by XPS analysis. The UTFC-MMMs (thickness: ∼45 nm) formed present excellent gas separation performance with a CO2 permeance of ∼1200 GPU (1 GPU = 10(-6) cm(3) (STP) cm(-2) s(-1) cmHg(-1)) and an enhanced CO2/N2 selectivity of over 35, which is the best performance for UTFC membranes in the reported literature.
Kim, J, Fu, Q, Xie, K, Scofield, JMP, Kentish, SE & Qiao, GG 2016, 'CO2 separation using surface-functionalized SiO2 nanoparticles incorporated ultra-thin film composite mixed matrix membranes for post-combustion carbon capture', Journal of Membrane Science, vol. 515, pp. 54-62.
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CO2 separation across polyethylene glycol (PEG)-based ultra-thin film composite mixed matrix membranes (UTFC-MMMs) containing surface-functionalized SiO2 nanoparticles (SFSNPs) were investigated. The SFSNPs were prepared by physicochemical adsorption of polyethyleneimine (PEI), polydopamine (PDA) and codeposition of PEI and PDA onto the porous SiO2 nanoparticles (diameter of ~10 nm). A cross-linked PEG-based polymer incorporating the SFSNPs was formed into an ultra-thin, CO2 selective layer of ~ 55 nm via a novel nano-coating technology, namely continuous assembly of polymers (CAP). The resulting PEG-based UTFC-MMMs demonstrate the potential of ultra thin films prepared by the CAP nanotechnology to enhance CO2 separation. The mixed matrix membranes achieved a CO2 permeance of ~1300 GPU (1 GPU=10-6 cm3 (STP) cm-2 s-1 cmHg-1) and a favorable CO2/N2 selectivity of 27, which is a 30% and 25% rise in CO2 permeance and CO2/N2 selectivity respectively above the values obtained from simple PEG-based UTFC membranes.
Kim, J, Park, M, Shon, HK & Kim, JH 2016, 'Performance analysis of reverse osmosis, membrane distillation, and pressure-retarded osmosis hybrid processes', Desalination, vol. 380, pp. 85-92.
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© 2015 Elsevier B.V. A performance analysis of a tri-combined process that consists of reverse osmosis (RO), membrane distillation (MD), and pressure-retarded osmosis (PRO) was conducted by using numerical approaches in order to evaluate its feasibility. In the hybrid process, the RO brine is partially used as the MD feed solution, and the concentrated MD brine is then mixed with the rest of the RO brine to be considered as the PRO draw solution. Here, the brine division ratio, incoming flow rate of RO, dimensions of the MD and PRO processes, and the supply cost of the MD heat source were considered as influential parameters. Previously validated process models were employed and the specific energy consumption (SEC) was calculated to examine the performance of the RO-MD-PRO hybrid process. The simulation results confirmed that the RO-MD-PRO hybrid process could outperform stand-alone RO in terms of reducing the SEC and the environmental footprint by dilution of the RO brine in locations where free or low-cost thermal energy can be exploited. Despite the need for further investigations and pilot-tests to determine its commercial practicability, this study provides insights into future directions for water and energy nexus processes for energy efficient desalination.
Kim, J, Park, MJ, Park, M, Shon, HK, Kim, S-H & Kim, JH 2016, 'Influence of colloidal fouling on pressure retarded osmosis', Desalination, vol. 389, pp. 207-214.
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© 2016 Elsevier B.V. In this study, colloidal fouling behavior in pressure retarded osmosis (PRO) was systematically investigated in terms of the effects of draw solution concentration, applied hydraulic pressure at the draw side, feed solution pH, and particle size. Commercially-available cellulose triacetate (CTA) membranes were fouled with feed solution containing silica colloidal particles. Two different silica particles with mean diameter of 27 and 152 nm were used as model foulants. Our findings demonstrated that the colloidal fouling in PRO was dominantly affected by the cake layer buildup at the membrane surface. Fouling was further exacerbated by diffused salts from the draw side because retained salts within the cake layer elevated the salt concentration on the membrane surface, and consequently reduced the driving force of PRO. Substantial flux decline with the smaller particles was attributed to the high cake layer resistance due to the formation of the void-less cake layer. In addition, our approaches to mitigate the colloidal fouling revealed that the hydraulic cleaning by increasing the cross-flow rates was not effective to eliminate the compact cake layer. However, adjusting the feed solution pH showed the high potential to relieve the colloidal fouling resulting from the more stabilization of particles at low solution pH.
Kim, Y, Chekli, L, Shim, W-G, Phuntsho, S, Li, S, Ghaffour, N, Leiknes, T & Shon, HK 2016, 'Selection of suitable fertilizer draw solute for a novel fertilizer-drawn forward osmosis-anaerobic membrane bioreactor hybrid system', BIORESOURCE TECHNOLOGY, vol. 210, pp. 26-34.
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© 2016 Elsevier Ltd. In this study, a protocol for selecting suitable fertilizer draw solute for anaerobic fertilizer-drawn forward osmosis membrane bioreactor (AnFDFOMBR) was proposed. Among eleven commercial fertilizer candidates, six fertilizers were screened further for their FO performance tests and evaluated in terms of water flux and reverse salt flux. Using selected fertilizers, bio-methane potential experiments were conducted to examine the effect of fertilizers on anaerobic activity due to reverse diffusion. Mono-ammonium phosphate (MAP) showed the highest biogas production while other fertilizers exhibited an inhibition effect on anaerobic activity with solute accumulation. Salt accumulation in the bioreactor was also simulated using mass balance simulation models. Results showed that ammonium sulfate and MAP were the most appropriate for AnFDFOMBR since they demonstrated less salt accumulation, relatively higher water flux, and higher dilution capacity of draw solution. Given toxicity of sulfate to anaerobic microorganisms, MAP appears to be the most suitable draw solution for AnFDFOMBR.
Klenner, F, Lenze, D, Schwarzer, S, Deuse, J & Friedrich, T 2016, 'Smart Data Analytics zur Identifikation dynamischer Engpässe in Flexiblen Fertigungssystemen', at - Automatisierungstechnik, vol. 64, no. 7, pp. 540-554.
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Zusammenfassung Flexible Fertigungssysteme (FFS) bilden die konzeptionelle Grundlage einer hoch flexiblen und produktivenGroßserienproduktion. Die inhärente Komplexität dieser Systeme erschwert die Lokalisierung von Engpässenund damit den produktiven Systembetrieb. Dieser Artikel beschreibt eine Methode, welche mithilfe eines Smart-Data-Modellsdynamische Engpässe in FFS identifiziert. Die damit verbundene Beherrschung der Komplexität bildet die Grundlagefür einen produktiven Betrieb.
Knee, GC, Combes, J, Ferrie, C & Gauger, EM 2016, 'Weak-value amplification: state of play', Quantum Measurements and Quantum Metrology, vol. 3, no. 1, pp. 32-37.
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AbstractWeak values arise in quantum theory when the result of a weak measurement is conditioned on a subsequent strong measurement. The majority of the trials are discarded, leaving only very few successful events. Intriguingly those can display a substantial signal amplification. This raises the question of whether weak values carry potential to improve the performance of quantum sensors, and indeed a number of impressive experimental results suggested this may be the case. By contrast, recent theoretical studies have found the opposite: using weak-values to obtain an amplification generally worsens metrological performance. This survey summarises the implications of those studies, which call for a reappraisal of weak values’ utility and for further work to reconcile theory and experiment.
Knight, DB, Cameron, IT, Hadgraft, RG & Reidsema, C 2016, 'The influence of external forces, institutional forces, and academics' characteristics on the adoption of positive teaching practices across australian undergraduate engineering', International Journal of Engineering Education, vol. 32, no. 2, pp. 695-711.
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This study investigates how academics' personal beliefs, perspectives on institutional forces, and perspectives on external influences relate to their teaching and learning decision-making. Using a national-level survey of Australian engineering academics (n = 591; 16% of Australia's engineering academics), analyses investigate (1) how influences external and internal to the university environment vary across characteristics of academics, and (2) how academics' characteristics, organizational features, and external drivers relate to issues informing academics' teaching and their actual teaching practices. External and internal influences differed across academics based on their individual characteristics and university contexts, and academics' individual characteristics explained the greatest variability in their teaching considerations and practices. For external influences (e.g., accreditation), promoting awareness of educational goals for undergraduate engineering-as opposed to forcing outcomes into course planning-relates to more desirable teaching and learning practices. No internal institutional policy driver related to teaching practice variables. This study points to informed, professional development that seeks to capitalize on academics' personal interests and characteristics and assists in helping them understand how curricula and outcomes may better align to help student learning. Findings support working from a bottom-up model of change to improve the teaching and learning culture within engineering programs.
Kodagoda, S, Sehestedt, S & Dissanayake, G 2016, 'Socially aware path planning for mobile robots', Robotica, vol. 34, no. 3, pp. 513-526.
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SUMMARYHuman–robot interaction is an emerging area of research where a robot may need to be working in human-populated environments. Human trajectories are generally not random and can belong to gross patterns. Knowledge about these patterns can be learned through observation. In this paper, we address the problem of a robot's social awareness by learning human motion patterns and integrating them in path planning. The gross motion patterns are learned using a novel Sampled Hidden Markov Model, which allows the integration of partial observations in dynamic model building. This model is used in the modified A* path planning algorithm to achieve socially aware trajectories. Novelty of the proposed method is that it can be used on a mobile robot for simultaneous online learning and path planning. The experiments carried out in an office environment show that the paths can be planned seamlessly, avoiding personal spaces of occupants.
Kodikara, J, Valls Miro, J & Melchers, R 2016, 'Failure Prediction of Critical Cast Iron Pipes', Advances in Water Research, vol. 26, no. 3, pp. 6-11.
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In 2011, a consortium of Australian water utilities led by Sydney Water (SW) joined forces with WRF and UK Water Industry Research (UKWIR) to initiate a five-year research program, Advanced Condition Assessment and Pipe Failure Prediction Project (ACAPFP).
Kolmos, A, Hadgraft, RG & Holgaard, JE 2016, 'Response strategies for curriculum change in engineering', International Journal of Technology and Design Education, vol. 26, no. 3, pp. 391-411.
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© 2015, The Author(s). During the last 25 years, there have been many calls for new engineering competencies and a corresponding gradual change in both curriculum and pedagogy in engineering education. This has been a global trend, in the US, Europe, Australia and now emerging in the rest of the world. Basically, there have been two main types of societal challenges that many engineering institutions have responded to: the employability skills of graduates and the need for a sustainability approach to engineering. These are two very different challenges and societal needs; however, the ways engineering institutions have responded form a consistent pattern across many of the content aspects. No matter the specific character of change, three very different curriculum strategies seem to have evolved: an add-on strategy, an integration strategy or a re-building strategy; the latter involves substantial curriculum re-design. The add-on strategy and integration strategy are the ones most commonly used, whereas the re-building strategy is at an emerging stage in most engineering education communities. Most engineering schools find it very challenging to re-build an entire curriculum, so smaller changes are generally preferred. The purpose of this article is to conceptualise these institutional response strategies in a wider literature and present examples of curriculum change within both employability and sustainability. We will maintain that all these strategies are based on management decisions as well as academic faculty decisions; however the implications for using the various strategies are very different in terms of system change, role of disciplines, leader interventions and faculty development strategies. Furthermore, institutions might use all types of response strategies in different programs and in different semesters. The conceptual framework presented here can provide analytical anchors, hopefully creating more awareness of the complexity of systemic change.
Kong, Y, Zhang, M & Ye, D 2016, 'An Auction-Based Approach for Group Task Allocation in an Open Network Environment', The Computer Journal, vol. 59, no. 3, pp. 403-422.
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Krebs, M, Hartung, J, Hengstebeck, A, Kuske, P & Deuse, J 2016, 'Time data management in machine tool industry', Productivity Management, vol. 21, no. 4, pp. 25-28.
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Time data management is a significant success factor to unlock elusive potentials for productivity management in lean production systems. Nevertheless, the importance was underestimated for a long time and in many companies essential organizational structures as well as know-how were neglected. Reliable and precise times, however, can be estimated by using standard data building blocks with low effort in every phase of the product development process.
Kulasinghe, A, Perry, C, Warkiani, ME, Blick, T, Davies, A, O'Byrne, K, Thompson, EW, Nelson, CC, Vela, I & Punyadeera, C 2016, 'Short term ex-vivo expansion of circulating head and neck tumour cells', Oncotarget, vol. 7, no. 37, pp. 60101-60109.
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Minimally invasive techniques are required for the identification of head and neck cancer (HNC) patients who are at an increased risk of metastasis, or are not responding to therapy. An approach utilised in other solid cancers is the identification and enumeration of circulating tumour cells (CTCs) in the peripheral blood of patients. Low numbers of CTCs has been a limiting factor in the HNC field to date. Here we present a methodology to expand HNC patient derived CTCs ex-vivo. As a proof of principle study, 25 advanced stage HNC patient bloods were enriched for circulating tumour cells through negative selection and cultured in 2D and 3D culture environments under hypoxic conditions (2% O2, 5% CO2). CTCs were detected in 14/25 (56%) of patients (ranging from 1-15 CTCs/5 mL blood). Short term CTC cultures were successfully generated in 7/25 advanced stage HNC patients (5/7 of these cultures were from HPV+ patients). Blood samples from which CTC culture was successful had higher CTC counts (p = 0.0002), and were predominantly from HPV+ patients (p = 0.007). This is, to our knowledge, the first pilot study to culture HNC CTCs ex-vivo. Further studies are warranted to determine the use of short term expansion in HNC and the role of HPV in promoting culture success.
Kuruneru, STW, Sauret, E, Saha, SC & Gu, Y 2016, 'Numerical investigation of the temporal evolution of particulate fouling in metal foams for air-cooled heat exchangers', Applied Energy, vol. 184, pp. 531-547.
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Metal foams have gained popularity in the renewable energy industry due to their superior thermo-physical properties. In the present study, a coupled finite volume and discrete element numerical method is used to numerically investigate the mechanisms that govern particle-laden gas flows and particulate fouling in idealized metal foam air-cooled heat exchangers. This paper provides a systematic analysis of the foulant distribution and the pressure drop due to the metal foam structure and the presence of fouling. The idealized Weaire-Phelan metal foam geometry serves as a good approximation to a real metal foam geometry. The pressure drop and deposition fraction follows a linear relation for sandstone cases, whereas for the sawdust cases, the pressure drop is sensibly invariant with time although a noticeable increase in deposition fraction with time is realized. The foulant residence time in addition to the correlations between pressure drop, deposition fraction, and inlet velocity can be used to optimize metal foam heat exchanger designs. Optimum heat exchanger performance is achieved by keeping the same fiber thickness of 0.17 mm at a high porosity at 97.87%. An increase in fluid carrier velocity promotes particle transport by means of particle interception thereby reducing the deposition fraction irrespective of foam geometry.
Kyong Shon, H, Duc Nghiem, L, Kim, S, Akmar Zakaria, Z, Tijing, L, Shu, L & Jegatheesan, V 2016, 'Editorial', Desalination and Water Treatment, vol. 57, no. 60, pp. 29192-29192.
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Lal, S, Hall, RM & Tipper, JL 2016, 'A novel method for isolation and recovery of ceramic nanoparticles and metal wear debris from serum lubricants at ultra-low wear rates', Acta Biomaterialia, vol. 42, pp. 420-428.
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Lan, C, Chen, Q & Li, J 2016, 'Grouping miRNAs of similar functions via weighted information content of gene ontology', BMC Bioinformatics, vol. 17, no. S19, pp. 159-295.
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BACKGROUND: Regulation mechanisms between miRNAs and genes are complicated. To accomplish a biological function, a miRNA may regulate multiple target genes, and similarly a target gene may be regulated by multiple miRNAs. Wet-lab knowledge of co-regulating miRNAs is limited. This work introduces a computational method to group miRNAs of similar functions to identify co-regulating miRNAsfrom a similarity matrix of miRNAs. RESULTS: We define a novel information content of gene ontology (GO) to measure similarity between two sets of GO graphs corresponding to the two sets of target genes of two miRNAs. This between-graph similarity is then transferred as a functional similarity between the two miRNAs. Our definition of the information content is based on the size of a GO term's descendants, but adjusted by a weight derived from its depth level and the GO relationships at its path to the root node or to the most informative common ancestor (MICA). Further, a self-tuning technique and the eigenvalues of the normalized Laplacian matrix are applied to determine the optimal parameters for the spectral clustering of the similarity matrix of the miRNAs. CONCLUSIONS: Experimental results demonstrate that our method has better clustering performance than the existing edge-based, node-based or hybrid methods. Our method has also demonstrated a novel usefulness for the function annotation of new miRNAs, as reported in the detailed case studies.
Lancia, G, Mathieson, L & Moscato, P 2016, 'Separating Sets of Strings by Finding Matching Patterns is Almost Always Hard', Theoretical Computer Science, vol. 665, pp. 73-86.
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We study the complexity of the problem of searching for a set of patternsthat separate two given sets of strings. This problem has applications in awide variety of areas, most notably in data mining, computational biology, andin understanding the complexity of genetic algorithms. We show that the basicproblem of finding a small set of patterns that match one set of strings but donot match any string in a second set is difficult (NP-complete, W[2]-hard whenparameterized by the size of the pattern set, and APX-hard). We then perform adetailed parameterized analysis of the problem, separating tractable andintractable variants. In particular we show that parameterizing by the size ofpattern set and the number of strings, and the size of the alphabet and thenumber of strings give FPT results, amongst others.
Lary, DJ, Alavi, AH, Gandomi, AH & Walker, AL 2016, 'Machine learning in geosciences and remote sensing', Geoscience Frontiers, vol. 7, no. 1, pp. 3-10.
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Learning incorporates a broad range of complex procedures. Machine learning (ML) is a subdivision of artificial intelligence based on the biological learning process. The ML approach deals with the design of algorithms to learn from machine readable data. ML covers main domains such as data mining, difficult-to-program applications, and software applications. It is a collection of a variety of algorithms (e.g. neural networks, support vector machines, self-organizing map, decision trees, random forests, case-based reasoning, genetic programming, etc.) that can provide multivariate, nonlinear, nonparametric regression or classification. The modeling capabilities of the ML-based methods have resulted in their extensive applications in science and engineering. Herein, the role of ML as an effective approach for solving problems in geosciences and remote sensing will be highlighted. The unique features of some of the ML techniques will be outlined with a specific attention to genetic programming paradigm. Furthermore, nonparametric regression and classification illustrative examples are presented to demonstrate the efficiency of ML for tackling the geosciences and remote sensing problems.
Le Thi Minh, T, Nguyen Phuoc, D, Dinh Quoc, T, Ngo, HH & Do Hong Lan, C 2016, 'Presence of e-EDCs in surface water and effluents of pollution sources in Sai Gon and Dong Nai river basin', Sustainable Environment Research, vol. 26, no. 1, pp. 20-27.
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© 2016 This study aimed to assess the presence of estrogenic endocrine disrupting compounds (e-EDCs) including estriol, bisphenol A (BPA), atrazine (ATZ), octylphenol, octylphenol diethoxylate, octylphenol triethoxylate, nonylphenol, Nonylphenol triethoxylate (NPE3), nonylphenol diethoxylate (NPE2) and 17β-estradiol in: (i) Sai Gon and Dong Nai river waters which have been major raw water sources for drinking water supply for Ho Chi Minh City (HCMC) and neighbouring provinces, and (ii) water pollution sources located in their catchment basin. NPE3 and NPE2 were detected in most of the surface water samples. Concentrations of NPE3 were in a range of less than 5.9–235 ng L −1 , whereas BPA was detected at significantly high concentrations in the dry season in canals in HCMC. In the upstream of Sai Gon and Dong Nai Rivers, ATZ concentrations were observed at water intake of water treatment plants served for HCMC water supply system. Similarly, high potential risk of NPE2 and NPE3 contamination at Phu Cuong Bridge near Hoa Phu water intake was identified. The significant correlation between NPE2, dissolved organic carbon and total nitrogen was found. Estrogenic equivalent or estrogenic activity of Sai Gon and Dong Nai Rivers was lower than those of the previous studies. Compared with other studies, e-EDCs of pollution in Sai Gon river basin were relatively low.
Le, TM & Fatahi, B 2016, 'Trust-region reflective optimisation to obtain soil visco-plastic properties', Engineering Computations, vol. 33, no. 2, pp. 410-442.
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Purpose A non-linear creep function embedded in an elastic visco-plastic (EVP) model can simulate the decrease of creep compression rate with time. It overcomes the limitation of a linear logarithmic creep function, by which creep continuously increases to infinite value as time approaches infinity. However, the determination of the creep model parameters is a challenging task to apply the EVP model. Therefore, this paper presents a new numerical solution to determine the EVP model parameters applying trust-region reflective least square optimisation algorithm and the finite difference scheme to simulate stress-strain behaviour of soft soil. Design/methodology/approach In this paper, the developed method is verified against the field case study of Väsby test fill. A set of EVP model parameters is obtained by applying the developed method to the available laboratory consolidation results of Väsby clay. Then, the predictions of settlement and the excess pore water pressure at different depths are compared to the available field measurement. Findings The analysis results show the developed method is a reliable tool to evaluate the long-term performance of soft soils under embankments. Practical implications Practicing engineers can use the proposed optimisation algorithm to increase the accuracy of the soil visco-plastic model parameters by utilising all laboratory results of several loading stages during and after the...
Lee, E-J, An, AK, He, T, Woo, YC & Shon, HK 2016, 'Electrospun nanofiber membranes incorporating fluorosilane-coated TiO2 nanocomposite for direct contact membrane distillation', JOURNAL OF MEMBRANE SCIENCE, vol. 520, pp. 145-154.
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© 2016 Elsevier B.V. The electrospinning technique as a method for fabricating hydrophobic membranes for membrane distillation (MD) has received much attention in recent times. In this study, TiO2 functionalized with 1H,1H,2H,2H-perfluorooctyltriethoxysilane was added directly to the dope solution for electrospinning in order to increase the hydrophobicity of the resulting MD membranes. Three concentrations (10%, 15% and 20%) of polyvinylidene fluoride-co-hexafluoropropylene (PH) dope solution were used for electrospinning with various amounts of TiO2 (1%, 5% and 10%) to generate nanofibers. The electrospun nanofiber membrane (ENM) of 20% PH with 10% TiO2 exhibited the highest surface hydrophobicity (contact angle=149°) resulting from good dispersion of the TiO2 particles, while the highest liquid entry pressure of 194.5 kPa was observed for the ENM comprising 10% PH with 10% TiO2 due to its reduced pore sizes. Furthermore, the ENMs containing 10% TiO2 exhibited better flux and stable salt rejection than commercial and ENMs without TiO2. Notably, there was no severe wetting in the 20% PH ENM with 10% TiO2 over seven days of operation, despite the high salt concentration (7.0 wt% NaCl) of the feed water.
Lee, H, Juan, J, Yun Hin, T-Y & Ong, H 2016, 'Environment-Friendly Heterogeneous Alkaline-Based Mixed Metal Oxide Catalysts for Biodiesel Production', Energies, vol. 9, no. 8, pp. 611-611.
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Lee, J, Jeong, S, Naidu, G, Ye, Y, Chen, V, Liu, Z & Vigneswaran, S 2016, 'Performance evaluation of carbon nanotube enhanced membranes for SWRO pretreatment application', Journal of Industrial and Engineering Chemistry, vol. 38, no. 8, pp. 123-131.
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© 2016 The Korean Society of Industrial and Engineering Chemistry. Multi-wall carbon nanotube (MWCNT) membrane was tested for SWRO pretreatment. The MWCNT membrane itself showed a superior permeate flux (321.3. LMH/bar), which was 4-times as polyethersulfone ultrafiltration (PES-UF) membrane. Reduction of dissolved organic matter improved to 66% with fewer amounts of powder activated carbon (PAC) (0.5. g/L) in MWCNT membrane filtration maintaining a high permeate flux of 600. LMH/bar. It was due to the increased porosity (84.5%) and hydrophilicity (52.9°) by incorporating MWCNT/polyaniline into PES membrane. Ionic strength affected organic removal in seawater filtration by altering electrostatic interaction between organic matter and surface charge of the positively charged MWCNT membrane.
Lee, KY, Park, SM, Kim, JB, Saliby, IE, Shahid, M, Kim, G-J, Shon, HK & Kim, J-H 2016, 'Synthesis and Characterisation of Porous Titania-Silica Composite Aerogel for NO<SUB><I>x</I></SUB> and Acetaldehyde Removal', Journal of Nanoscience and Nanotechnology, vol. 16, no. 5, pp. 4505-4511.
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Copyright © 2016 American Scientific Publishers All rights reserved. In this study, the synthesis of porous titania-silica (TiO2-SiO2) composite aerogel at ambient pressure by using non-hazardous chemicals as a source of silica was investigated. TiO2-SiO2 composite aerogels were characterised and their photocatalytic performances were investigated for the removal efficiency of acetaldehyde and NOx under UV light. Results showed that porous composite aerogel with aggregated morphology, high surface area and an increased mesoporosity were formed. TiO2-SiO2(1.8) composite, with high Ti/Si ratio, showed the best results in terms of photocatalytic removal of acetaldehyde and nitrogen oxide.
Lee, T, Leonardos, N, Saks, M & Wang, F 2016, 'Hellinger volume and number-on-the-forehead communication complexity', Journal of Computer and System Sciences, vol. 82, no. 6, pp. 1064-1074.
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Lei, C, Bie, H, Fang, G, Gaura, E, Brusey, J, Zhang, X & Dutkiewicz, E 2016, 'A Low Collision and High Throughput Data Collection Mechanism for Large-Scale Super Dense Wireless Sensor Networks', Sensors, vol. 16, no. 7, pp. 1108-1108.
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Lei, G, Liu, C, Guo, Y & Zhu, J 2016, 'Robust Multidisciplinary Design Optimization of PM Machines With Soft Magnetic Composite Cores for Batch Production', IEEE Transactions on Magnetics, vol. 52, no. 3, pp. 1-4.
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© 1965-2012 IEEE. This paper presents a robust approach for multidisciplinary design optimization of permanent magnet (PM) motors with soft magnetic composite (SMC) cores to improve their manufacturing quality in batch production. First, a general multidisciplinary design analysis framework is developed for PM-SMC motors, which includes electromagnetic, thermal, modal, and manufacturing analyses. Second, an improved multilevel optimization method is presented to improve the efficiency of the robust optimization. Finally, to demonstrate the effectiveness, a PM-SMC transverse flux machine is investigated. The numerical solutions, including electromagnetic and thermal analyses, are validated by the experimental results. As shown, the proposed method can significantly increase motor's reliability and greatly reduce the computation cost, which benefits the mass production in industrial applications.
Lei, G, Liu, C, Jafari, M, Zhu, J & Guo, Y 2016, 'Multilevel Robust Design Optimization of a Superconducting Magnetic Energy Storage Based on a Benchmark Study', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-5.
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© 2016 IEEE. Superconducting magnetic energy storage (SMES) systems with different superconducting materials are attracting great attentions and funding from the governments around the world because they are promising large-scale energy storage devices for future smart grid. Due to the high cost of SMES, its manufacturing quality and operation reliability have to be investigated in the design optimization stage. This paper presents a robust design optimization method to solve this issue based on a benchmark problem, TEAM problem 22. The proposed method is based on a technique called design for Six Sigma. Meanwhile, a three-level optimization framework is employed to reduce the computation cost of a finite-element analysis due to high-dimensional design space and Monte-Carlo analysis. As shown, the manufacturing reliability and quality of the investigated SMES after robust optimization have been increased greatly.
Leong, KY, Ong, HC, Amer, NH, Norazrina, MJ, Risby, MS & Ku Ahmad, KZ 2016, 'An overview on current application of nanofluids in solar thermal collector and its challenges', Renewable and Sustainable Energy Reviews, vol. 53, pp. 1092-1105.
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Levy, MC, Garcia, M, Blair, P, Chen, X, Gomes, SL, Gower, DB, Grames, J, Kuil, L, Liu, Y, Marston, L, McCord, PF, Roobavannan, M & Zeng, R 2016, 'Wicked but worth it: student perspectives on socio‐hydrology', Hydrological Processes, vol. 30, no. 9, pp. 1467-1472.
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Li, A, Pi, S, Wei, W, Chen, T, Yang, J & Ma, F 2016, 'Adsorption behavior of tetracycline by extracellular polymeric substrates extracted from Klebsiella sp. J1', Environmental Science and Pollution Research, vol. 23, no. 24, pp. 25084-25092.
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The extracellular polymeric substrate (EPS) extracted from Klebsiella sp. J1 was used to adsorb low concentrations of tetracycline, and the efficiency and mechanism of tetracycline adsorption by EPS from strain J1 were studied. Adsorption efficiency was evaluated at different conditions. Results showed that optimal adsorption efficiency was 71.68 % with 60 mg L-1 of EPS from strain J1 and 90 μL of 10 % (w/v) CaCl2 in 100 mL of tetracycline solution (80 μg L-1) with pH of 8.0. Experimental data was fitted well with Langmuir, Freundlich isotherm, and pseudo-second-order models. Analyses of E value, Ea value, thermodynamics, zeta potential variation, and Fourier transform infrared spectroscopy (FTIR) spectra proved that chemisorption was the main adsorption type and bridging was the main adsorption mechanism. Thermodynamic analysis indicated that adsorptive reaction was exothermic from 20 to 40 °C. In addition, humic acid (HA) showed little effect on the tetracycline adsorption by MFX.
Li, D, He, X, Cao, L & Chen, H 2016, 'Permutation anonymization', Journal of Intelligent Information Systems, vol. 47, no. 3, pp. 427-445.
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In data publishing, anonymization techniques have been designed to provide privacy protection. Anatomy is an important techniques for privacy preserving in data publication and attracts considerable attention in the literature. However, anatomy is fragile under background knowledge attack and the presence attack. In addition, anatomy can only be applied into limited applications. To overcome these drawbacks, we propose an improved version of anatomy: permutation anonymization, a new anonymization technique that is more effective than anatomy in privacy protection, and in the meanwhile is able to retain significantly more information in the microdata. We present the detail of the technique and build the underlying theory of the technique. Extensive experiments on real data are conducted, showing that our technique allows highly effective data analysis, while offering strong privacy guarantees.
Li, D-L, Prasad, M, Lin, C-T & Chang, J-Y 2016, 'Self-adjusting feature maps network and its applications', Neurocomputing, vol. 207, pp. 78-94.
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© 2016 Elsevier B.V. This paper, proposes a novel artificial neural network, called self-adjusting feature map (SAM), and develop its unsupervised learning ability with self-adjusting mechanism. The trained network structure of representative connected neurons not only displays the spatial relation of the input data distribution but also quantizes the data well. The SAM can automatically isolate a set of connected neurons, in which, the used number of the sets may indicate the number of clusters. The idea of self-adjusting mechanism is based on combining of mathematical statistics and neurological advantages and retreat of waste. In the training process, for each representative neuron has are three phases, growth, adaptation and decline. The network of representative neurons, first create the necessary neurons according to the local density of the input data in the growth phase. In the adaption phase, it adjusts neighborhood neuron pair׳s connected/disconnected topology constantly according to the statistics of input feature data. Finally, the unnecessary neurons of the network are merged or remove in the decline phase. In this paper, we exploit the SAM to handle some peculiar cases that cannot be handled easily by classical unsupervised learning networks such as self-organizing map (SOM) network. The remarkable characteristics of the SAM can be seen on various real world cases in the experimental results.
Li, E, Chen, J, Zhang, Z, Fang, J, Liu, GR & Li, Q 2016, 'Smoothed finite element method for analysis of multi-layered systems – Applications in biomaterials', Computers & Structures, vol. 168, pp. 16-29.
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© 2016 Elsevier Ltd. All rights reserved. In general, the biologic system can be rather sophisticated and commonly present in hierarchical layers. Hence, the quadrilateral or brick elements are very difficult to precisely capture the anatomic details for mechanobiologic modeling. Further, the conventional finite element method (FEM) could possibly give poor solutions using triangular or tetrahedral elements due to its overly-stiff property. In addition, the biologic soft tissues are often considered as 'incompressible' materials, where conventional FEM could suffer from volumetric locking in numerical solution. For these reasons, smoothed finite element methods (SFEM) are proposed here to solve the multi-layered bio-systems for softening conventional FEM models.
Li, F, Xu, G & Cao, L 2016, 'Two-level matrix factorization for recommender systems', Neural Computing and Applications, vol. 27, no. 8, pp. 2267-2278.
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© 2015, The Natural Computing Applications Forum. Many existing recommendation methods such as matrix factorization (MF) mainly rely on user–item rating matrix, which sometimes is not informative enough, often suffering from the cold-start problem. To solve this challenge, complementary textual relations between items are incorporated into recommender systems (RS) in this paper. Specifically, we first apply a novel weighted textual matrix factorization (WTMF) approach to compute the semantic similarities between items, then integrate the inferred item semantic relations into MF and propose a two-level matrix factorization (TLMF) model for RS. Experimental results on two open data sets not only demonstrate the superiority of TLMF model over benchmark methods, but also show the effectiveness of TLMF for solving the cold-start problem.
Li, H, Luo, Z, Zhang, N, Gao, L & Brown, T 2016, 'Integrated design of cellular composites using a level-set topology optimization method', Computer Methods in Applied Mechanics and Engineering, vol. 309, pp. 453-475.
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© 2016 Elsevier B.V. This paper proposes a hierarchical multi-scale topology optimization method for the design of integrated materials and structures by taking advantage of both cellular composites and functionally graded materials. The topology optimization involves two scales: firstly, macrostructural design using SIMP to generate an overall multilayered layout with free material distribution involving intermediate densities; and secondly, microstructural design to produce periodic cellular composite for each layer, by integrating the numerical homogenization into a level set approach. Thus, the cellular composites will be characterized by variation in microstructures and the corresponding changes of properties over layers. The proposed method can generate new artificial composites similar to functionally graded materials but layer-based, to achieve multifunctional properties for energy absorption, anti-impact, thermal isolation, etc. Several numerical examples are used to demonstrate the effectiveness of this method.
Li, H, Öchsner, A, Ni, G, Wei, D & Jiang, Z 2016, 'Analysis of surface asperity flattening based on two different methods', Continuum Mechanics and Thermodynamics, vol. 28, no. 6, pp. 1623-1634.
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The stress state is an important parameter in metal forming processes, which significantly influences the strain state and microstructure of products, affecting their surface qualities. In order to make the metal products have a good surface quality, the surface stress state must be optimised. In this study, two classical methods, the upper bound method and the crystal plasticity finite element method, were investigated. The differences between the two methods were discussed in regard to the model, the velocity field, and the strain field. Then the related surface roughness is deduced.
Li, J, Fong, S, Siu, S, Mohammed, S, Fiaidhi, J & Wong, KKL 2016, 'WITHDRAWN: Improving classification of protein binders for virtual drug screening by novel swarm-based feature selection techniques', Computerized Medical Imaging and Graphics.
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© 2016 Elsevier Ltd. Drug design involves classification of protein binding which is usually done in a computer simulation prior to extensive actual tests. Accurate classification of protein binding is essential but it is obstructed with a very challenging task of feature selection (FS) because there are too many potential features. Dorothea as a case of virtual screening in drug design, has 100,000 features that inflate to a very huge (of size 2100,000 possible candidate feature subsets to be selected) but very sparse search space. In this paper, this computational challenge is tackled by a new model of feature selection called Two-stage Swarm Search-FS (TSS-FS). The novelty of TSS-FS is the use of adaptive search space shrinking mechanism which is the first stage of the TSS-FS to reduce computing cost and increase classification accuracy. Reducing the very huge and sparse search space enables the swarm feature selection operate more efficiently. Results demonstrated in the paper confirms the efficacy of the new algorithms.
Li, J, Stewart, MG, Masia, MJ & Lawrence, SJ 2016, 'Spatial Correlation of Material Properties and Structural Strength of Masonry in Horizontal Bending', Journal of Structural Engineering, vol. 142, no. 11.
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Spatial variability of material properties might significantly affect the structural performance and reliability of unreinforced masonry (URM) walls. The paper develops a computational method to predict the strength for URM walls subject to one-way horizontal bending considering unit-to-unit spatial variability of the material properties of mortar joints and bricks. In this context, the term unit is being used to describe the location in the wall associated with a single brick and the adjacent mortar joints. In this way, the material properties are assumed to be uniform along the length, height, and thickness of individual bricks but may vary from brick to brick within the wall. Tensile strength, shear bond strength, and associated fracture energies of the mortar joints and tensile strength and fracture energy of the bricks are the main parameters considered herein. The authors examine how correlation and spatial variability in unit strengths (mortar joints and bricks) affect the variability of ultimate strength and damage progression of clay brick URM walls in one-way horizontal bending. Stochastic analysis in the form of Monte Carlo simulations used a three-dimensional (3D) nonlinear finite-element analysis. The results were validated from a database of available experimental results on masonry four-course beams. It was found that good agreement of peak load exists between the stochastic simulation and the experimental results for the four-course beam subject to horizontal bending.
Li, J, Wu, C, Hao, H, Su, Y & Liu, Z 2016, 'Blast resistance of concrete slab reinforced with high performance fibre material', Journal of Structural Integrity and Maintenance, vol. 1, no. 2, pp. 51-59.
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Concrete is now the most abundantly used material in construction. Despite good compressive strength, concrete is marked with brittleness and low tensile strength. A widely adopted method to enhance the concrete material performance especially the tensile strength and ductility is fibrous material addition. In the present study, concrete mix designs with different fibre additions have been developed, and high-performance polyethylene fibre and micro steel fibre are considered with varying volume fractions in the concrete matrix. Material static properties are obtained from laboratory tests, and further study on the dynamic performance of theses fibre reinforced concrete materials is investigated through field blast tests. Concrete slabs with high-performance polyethylene fibre reinforcement and hybrid steel and polyethylene reinforcement are casted and tested under close-in blast scenarios. Discussion on the structural damage and material performance is briefed based on the test results.
Li, J, Wu, C, Hao, H, Wang, Z & Su, Y 2016, 'Experimental investigation of ultra-high performance concrete slabs under contact explosions', International Journal of Impact Engineering, vol. 93, pp. 62-75.
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© 2016 Elsevier Ltd. All rights reserved. Unlike ductile behaviour under static loads, a reinforced concrete structure can respond in a brittle manner with highly localised damage like concrete spalling, cratering and reinforcement rupturing under close-in or contact explosions. High speed fragmentation resulting from concrete spall may cause severe casualties and injuries. It is therefore important to have a better understanding of the concrete spall phenomena and fragments distribution. In the present study, contact explosion tests were carried out on concrete slabs to observe the concrete crater and spall damage. Seven slabs including two control specimens made of normal strength concrete (NRC) and five ultra-high performance concrete (UHPC) slabs are tested. The superior blast resistance capacity of UHPC slabs is verified through comparison against NRC slabs. The influence of longitudinal reinforcement spacing and slab depth on the spall resistance of UHPC slabs is investigated. Predictions through available empirical methods are made and compared with the test observations. The accuracy of these empirical methods is discussed. All fragments resulting from the contact blast tests are collected and analysed through sieve analysis. It is found that Weibull distribution can be used to model the fragments size distribution of NRC slabs while Log-normal distribution better models the fragments size distribution of UHPC slabs.
Li, J, Zhao, B, Deng, C & Xu, RYD 2016, 'Time Varying Metric Learning for visual tracking', Pattern Recognition Letters, vol. 80, pp. 157-164.
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Li, JJ, Roohani-Esfahani, S-I, Dunstan, CR, Quach, T, Steck, R, Saifzadeh, S, Pivonka, P & Zreiqat, H 2016, 'Efficacy of novel synthetic bone substitutes in the reconstruction of large segmental bone defects in sheep tibiae', Biomedical Materials, vol. 11, no. 1, pp. 015016-015016.
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The treatment of large bone defects, particularly those with segmental bone loss, remains a significant clinical challenge as current approaches involving surgery or bone grafting often do not yield satisfactory long-term outcomes. This study reports the evaluation of novel ceramic scaffolds applied as bone graft substitutes in a clinically relevant in vivo model. Baghdadite scaffolds, unmodified or modified with a polycaprolactone coating containing bioactive glass nanoparticles, were implanted into critical-sized segmental bone defects in sheep tibiae for 26 weeks. Radiographic, biomechanical, μ-CT and histological analyses showed that both unmodified and modified baghdadite scaffolds were able to withstand physiological loads at the defect site, and induced substantial bone formation in the absence of supplementation with cells or growth factors. Notably, all samples showed significant bridging of the critical-sized defect (average 80%) with evidence of bone infiltration and remodelling within the scaffold implant. The unmodified and modified baghdadite scaffolds achieved similar outcomes of defect repair, although the latter may have an initial mechanical advantage due to the nanocomposite coating. The baghdadite scaffolds evaluated in this study hold potential for use as purely synthetic bone graft substitutes in the treatment of large bone defects while circumventing the drawbacks of autografts and allografts.
Li, K, Ni, W, Wang, X, Liu, RP, Kanhere, SS & Jha, SK 2016, 'Energy-Efficient Cooperative Relaying for Unmanned Aerial Vehicles.', IEEE Trans. Mob. Comput., vol. 15, no. 6, pp. 1377-1386.
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© 2002-2012 IEEE. Airborne relaying can extend wireless sensor networks (WSNs) to remote human-unfriendly terrains. However, lossy airborne channels and limited battery of unmanned aerial vehicles (UAVs) are critical issues, adversely affecting success rate and network lifetime, especially in real-time applications. We propose an energy-efficient cooperative relaying scheme which extends network lifetime while guaranteeing the success rate. The optimal transmission schedule of the UAVs is formulated to minimize the maximum (min-max) energy consumption under guaranteed bit error rates, and can be judiciously reformulated and solved using standard optimisation techniques. We also propose a computationally efficient suboptimal algorithm to reduce the scheduling complexity, where energy balancing and rate adaptation are decoupled and carried out in a recursive alternating manner. Simulation results confirm that the suboptimal algorithm cuts off the complexity by orders of magnitude with marginal loss of the optimal network yield (throughput) and lifetime. The proposed suboptimal algorithm can also save energy by 50 percent, increase network yield by 15 percent, and extend network lifetime by 33 percent, compared to the prior art.
Li, M, Chen, XM & Ni, W 2016, 'An extended generalized filter algorithm for urban expressway traffic time estimation based on heterogeneous data', Journal of Intelligent Transportation Systems, vol. 20, no. 5, pp. 474-484.
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Li, Q, Ling, X & Sheng, D 2016, 'Elasto-plastic behaviour of frozen soil subjected to long-term low-level repeated loading, Part I: Experimental investigation', Cold Regions Science and Technology, vol. 125, pp. 138-151.
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Li, Q, Ling, X & Sheng, D 2016, 'Elasto-plastic behaviour of frozen soil subjected to long-term low-level repeated loading, Part II: Constitutive modelling', Cold Regions Science and Technology, vol. 122, pp. 58-70.
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Li, Q, Zheng, C, Mesgari, S, Hewkuruppu, YL, Hjerrild, N, Crisostomo, F, Rosengarten, G, Scott, JA & Taylor, RA 2016, 'Experimental and numerical investigation of volumetric versus surface solar absorbers for a concentrated solar thermal collector', Solar Energy, vol. 136, pp. 349-364.
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A low-profile concentrated solar thermal collector (<15 cm in height) was proposed and investigated to demonstrate its potential to deliver heat energy in the range of 100–250 °C. We use both experimental and numerical methods to investigate of the effect of modifying the absorber in this collector. As such, a volumetric absorber (consisting of a multi-walled carbon nanotube nanofluid contained within a glass tube) was compared against a conventional surface absorber (consisting of a black chrome-coated copper tube). The experimental and computational fluid dynamics (CFD) results were found to be in good agreement for the thermal efficiency of these two receivers. The analysis revealed that the vacuum-packaged volumetric receiver had an efficiency of 54% and 26% operating at 80 °C and 200 °C, respectively. This lower than a vacuum-packaged black chrome-coated receiver, which had an efficiency of 68% and 47% in the same concentrator, operating at the same temperatures, respectively. [Note that commercial linear concentration systems typically have efficiency in the range 44–57% at 200 °C.] The inferior performance of the volumetric receiver was found to be due to higher reflective optical and radiative heat loss from the surface of glass tube. Overall, this study reveals that the proposed low-profile collector design is suitable for utilisation in industrial and commercial heating applications, but that volumetric absorbers will require anti-reflective and good selective coatings to be competitive with surface absorbers. If these challenges can be overcome, nanofluid receivers may have a cost/manufacturing advantage since glass-to-glass vacuum sealing is easier to achieve than metal-to-glass.
Li, R-H, Qin, L, Yu, JX & Mao, R 2016, 'Optimal Multi-Meeting-Point Route Search.', IEEE Trans. Knowl. Data Eng., vol. 28, no. 3, pp. 770-784.
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© 1989-2012 IEEE. Real-time ride-sharing applications (e.g., Uber and Lyft) are very popular in recent years. Motivated by the ride-sharing application, we propose a new type of query in road networks, called the optimal multi-meeting-point route (OMMPR) query. Given a road network G , a source node s , a target node t , and a set of query nodes U, the OMMPR query aims at finding the best route starting from s and ending at t such that the weighted average cost between the cost of the route and the total cost of the shortest paths from every query node to the route is minimized. We show that the problem of computing the OMMPR query is NP-hard. To answer the OMMPR query efficiently, we propose two novel parameterized solutions based on dynamic programming (DP), with the number of query nodes l (i.e., l=|U|) as a parameter, which is typically very small in practice. The two proposed parameterized algorithms run in O(3 m+ 2 n (l+\log (n))) and O(2 (m + n (l+\log (n)))) time, respectively, where n and m denote the number of nodes and edges in graph G, thus they are tractable in practice. To reduce the search space of the DP-based algorithms, we propose two novel optimized algorithms based on bidirectional DP and a carefully-designed lower bounding technique. We conduct extensive experimental studies on four large real-world road networks, and the results demonstrate the efficiency of the proposed algorithms.
Li, S, Winters, H, Jeong, S, Emwas, A-H, Vigneswaran, S & Amy, GL 2016, 'Marine bacterial transparent exopolymer particles (TEP) and TEP precursors: Characterization and RO fouling potential', Desalination, vol. 379, pp. 68-74.
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Li, W, Alvandi, S, Kara, S, Thiede, S & Herrmann, C 2016, 'Sustainability Cockpit: An integrated tool for continuous assessment and improvement of sustainability in manufacturing', CIRP Annals, vol. 65, no. 1, pp. 5-8.
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Li, W, Huang, Z, Zu, T, Shi, C, Duan, WH & Shah, SP 2016, 'Influence of Nanolimestone on the Hydration, Mechanical Strength, and Autogenous Shrinkage of Ultrahigh-Performance Concrete', Journal of Materials in Civil Engineering, vol. 28, no. 1, pp. 04015068-04015068.
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© 2015 American Society of Civil Engineers. The influence of nanolimestone/nanoCaCo3 (NC) on the properties of ultrahigh-performance concrete (UHPC) cured at standard and heat conditions was experimentally investigated. The NC was used at ratios of 1, 2, and 3% as partial mass replacement for cement. Incorporating NC accelerated the hydration reactions of UHPC because of the nucleation effect. On the mechanical properties aspect, a threshold value of the NC content was found so that the compressive, flexural strengths, and flexural to compressive strength ratio of the UHPC were found to increase as the NC content increased towards the threshold content, and then to decrease with the increase of NC contents when the threshold was surpassed. Conversely, replacing cement with NC decreased flowability and increased the amount of autogenous shrinkage of the UHPC. While the NC accelerated the cement hydration process, it also acted as an effective filling material, resulting in enhanced mechanical properties and denser microstructure compared with the control UHPC mixture. Thus, through the use of NC, more environmentally friendly UHPC can be produced by reducing its cement factor and achieving enhanced engineering properties.
Li, W, Kawashima, S, Xiao, J, Corr, DJ, Shi, C & Shah, SP 2016, 'Comparative investigation on nanomechanical properties of hardened cement paste', Materials and Structures, vol. 49, no. 5, pp. 1591-1604.
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© 2015, RILEM. Three types of nanomechanical methods including static nanoindentation, modulus mapping and peak-force quantitative nanomechanical mapping (QNM) were applied to investigate the quantitative nanomechanical properties of the same indent location in hardened cement paste. Compared to the nanoindentation, modulus mapping and peak-force QNM allow for evaluating local mechanical properties of a smaller area with higher resolution. Beside, the ranges of elastic modulus distribution measured by modulus mapping and peak-force QNM are relatively greater than that obtained from nanoindentation, which may be due to a result of the shaper probe and local confinement effect between multiple phases. Moreover, the average value of elastic modulus obtained using peak-force QNM were consistent with those obtained by modulus mapping, while the different in modulus probability distribution could be related to the different nanomechancial theories and contact forces. The probability distributions of elastic modulus measured using nanomechanical methods to provide a basis for the different types of phases existing in cement paste. Based on the observation with high spatial resolution, cement paste can be likely found as nanocalse granular material, in which different submicron scale or basic nanoscale grain units pack together. It indicates that the peak-force QNM can effectively provide an effective insight into the nanostructure characteristic and corresponding nanomechanical properties of cement paste.
Li, W, Luo, Z, Long, C, Wu, C, Duan, WH & Shah, SP 2016, 'Effects of nanoparticle on the dynamic behaviors of recycled aggregate concrete under impact loading', Materials & Design, vol. 112, pp. 58-66.
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A 100 mm-diameter split Hopkinson pressure bar (SHPB) was applied to investigate effects of nanoparticles on the dynamic mechanical properties of recycled aggregate concrete (RAC) under impact loading. The nano-SiO2 (NS) and nano-CaCO3 (NC) were incorporated to replace cement by mass of 1 and 2% in RACs. The impact velocities were set as 7.7, 9.8 and 11.6 m/s in the SHPB tests. The effects of nanoparticles on failure patterns, compressive strengths, elastic modulus, peak strain and dynamic increase factor (DIF) of RACs under different strain rates were analyzed and discussed. The results show that nanomodified RACs exhibit higher both quasi-static and dynamic compressive strengths compared to control RAC. Dynamic elastic modulus of RAC seems not be affected by nanoparticle dosages and impact velocities. Compared to NC, NS is more effective to improve dynamic compressive strengths of RAC. On the other hand, the nanoparticles modified RACs exhibit lower DIF values than that of the control RAC. Moreover, NC obviously more reduces the DIF values of nanomodified RAC than NS.
Li, X, Ni, W, Mao, F, Wang, W & Li, J 2016, 'A Metal‐free Approach to 3‐Aryl‐3‐hydroxy‐2‐oxindoles by Treatment of 3‐Acyloxy‐2‐oxindoles with Diaryliodonium Salts', Chemistry – An Asian Journal, vol. 11, no. 2, pp. 226-230.
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AbstractA mild, metal‐free approach has been realized for the facile construction of highly valuable 3‐(hetero)aryl‐3‐hydroxy‐2‐oxindoles. Direct arylations of 3‐acyloxy‐2‐oxindoles with diaryliodonium salts as arylation reagents are implemented in the presence of K2CO3 at room temperature without using an organometallic promoter to deliver an array of 3‐(hetero)aryl‐3‐hydroxy‐2‐oxindoles in good yields.
Li, X, Wang, G, Jing, L, Ni, W, Yan, H, Chen, C & Yan, Y-M 2016, 'A photoelectrochemical methanol fuel cell based on aligned TiO2 nanorods decorated graphene photoanode', Chemical Communications, vol. 52, no. 12, pp. 2533-2536.
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We report the photoelectrochemical (PEC) oxidation of methanol on a rationally designed graphene-TiO2 nanorod array (G-TNR) photoanode.
Li, Y, Li, Y & Xu, G 2016, 'Protecting private geosocial networks against practical hybrid attacks with heterogeneous information', Neurocomputing, vol. 210, pp. 81-90.
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© 2016 Elsevier B.V.GeoSocial Networks (GSNs) are becoming increasingly popular due to its power in providing high-performance and flexible service capabilities. More and more Internet users have accepted this innovative service model. However, even GSNs have great business value for data analysis by integrated with location information, it may seriously compromise users' privacy in publishing the GSN data. In this paper, we study the identity disclosure problem in publishing GSN data. We first discuss the attack problem by considering both the location-based and structure-based properties, as background knowledge, and then formalize two general models, named (k,m)-anonymity and (k,m,l)-anonymity Then we propose a complete solution to achieve (k,m)-anonymization and (k,m,l)-anonymization to prevent the released data from the above attacks above. We also take data utility into consideration by defining specific information loss metrics. It is validated by real-world data that the proposed methods can prevent GSN dataset from the attacks while retaining good utility.
Li, Y, Qiao, Y, Wang, X & Duan, R 2016, 'Tripartite-to-bipartite Entanglement Transformation by Stochastic Local Operations and Classical Communication and the Structure of Matrix Spaces', Communications in Mathematical Physics, vol. 358, no. 2, pp. 791-814.
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We study the problem of transforming a tripartite pure state to a bipartiteone using stochastic local operations and classical communication (SLOCC). Itis known that the tripartite-to-bipartite SLOCC convertibility is characterizedby the maximal Schmidt rank of the given tripartite state, i.e. the largestSchmidt rank over those bipartite states lying in the support of the reduceddensity operator. In this paper, we further study this problem and exhibitnovel results in both multi-copy and asymptotic settings. In the multi-copyregime, we observe that the maximal Schmidt rank is strictlysuper-multiplicative, i.e. the maximal Schmidt rank of the tensor product oftwo tripartite pure states can be strictly larger than the product of theirmaximal Schmidt ranks. We then provide a full characterization of thosetripartite states whose maximal Schmidt rank is strictly super-multiplicativewhen taking tensor product with itself. In the asymptotic setting, we focus ondetermining the tripartite-to-bipartite SLOCC entanglement transformation rate,which turns out to be equivalent to computing the asymptotic maximal Schmidtrank of the tripartite state, defined as the regularization of its maximalSchmidt rank. Despite the difficulty caused by the super-multiplicativeproperty, we provide explicit formulas for evaluating the asymptotic maximalSchmidt ranks of two important families of tripartite pure states, by resortingto certain results of the structure of matrix spaces, including the study ofmatrix semi-invariants. These formulas give a sufficient and necessarycondition to determine whether a given tripartite pure state can be transformedto the bipartite maximally entangled state under SLOCC, in the asymptoticsetting. Applying the recent progress on the non-commutative rank problem, wecan verify this condition in deterministic polynomial time.
Li, Z, Zhao, G, Li, S, Sun, H, Tao, R, Huang, X & Guo, YJ 2016, 'Rotation Feature Extraction for Moving Targets Based on Temporal Differencing and Image Edge Detection', IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 10, pp. 1512-1516.
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© 2016 IEEE. A rotation parameter extraction method based on temporal differencing and image edge detection from range-Doppler images is presented in this letter. The proposed method first detects the motion trail of the moving pixels caused by the rotating parts in temporal differential range-Doppler images using image edge detection. A Doppler-slow-time image is then generated from the edge pixels on the motion trail. Finally, the rotation parameters are extracted from the Doppler-slow-time image. The proposed method is simple, rapid, and practical. Computer simulations and experimental results demonstrate its effectiveness in terms of computation time compared with existing methods.
Li, ZG, Cai, C, Menon, AK, Xu, Y & Chen, F 2016, 'Estimation of Link Speed Distribution from Probe Vehicle Data', Transportation Research Record: Journal of the Transportation Research Board, vol. 2595, no. 1, pp. 98-107.
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Probes with GPS devices reveal useful information for traffic conditions, but the high level of noise and the sparsity of observations make it challenging to estimate speed distribution from the data collected. This paper proposes a Bayesian approach for estimating link speed distribution from GPS-equipped probe data. The key contribution of the study is a generic hierarchical Monte Carlo Markov chain algorithm for sampling from probe speed distribution, with Gaussian mixture models for probe speed clustering. The algorithm combines Gibbs sampling and Metropolis–Hastings sampling to improve convergence speed. A rigorous mathematical discussion is provided for the simulation approach. The algorithm is evaluated with synthetic data and real-world probe data and shows the feasibility of the approach. Results also confirm the computational advantages of the proposed algorithm and suggest its potential for real-time extension.
Liang, J, Wu, J, Zhang, N, Luo, Z & Zhu, S 2016, 'Interval uncertain analysis of active hydraulically interconnected suspension system', Advances in Mechanical Engineering, vol. 8, no. 5, pp. 168781401664633-168781401664633.
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Uncertainty exists in many industry fields and needs to be dealt properly to avoid unexpected failure. This article proposes a new approach to deal with the uncertain problems encountered by the mathematical modeling of an active hydraulically interconnected suspension system. As the need for both riding comfort and the controllability is soaring nowadays, the traditional passive and semi-active suspension system could barely keep up with the pace, and the proposed active hydraulic system could be one of the solutions. In order to deal with the uncertain factors in the hydraulic system, an interval analysis method for the dynamic responses of nonlinear systems with uncertain-but-bounded parameters using Chebyshev polynomial series is introduced. The comparisons conducted in this article demonstrate the accuracy and computational efficiency of the proposed uncertain problem solver and reveal the influences of uncertain parameters in fluid and mechanical components on the dynamic responses of active hydraulically interconnected suspension.
Lienhard, B, Schröder, T, Mouradian, S, Dolde, F, Tran, TT, Aharonovich, I & Englund, D 2016, 'Bright and photostable single-photon emitter in silicon carbide', Optica, vol. 3, no. 7, pp. 768-768.
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Lin, CT & Garibaldi, JJ 2016, 'Editorial', IEEE Transactions on Fuzzy Systems, vol. 24, no. 6, pp. 1257-1258.
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Lin, C-T, Chuang, C-H, Kerick, S, Mullen, T, Jung, T-P, Ko, L-W, Chen, S-A, King, J-T & McDowell, K 2016, 'Mind-Wandering Tends to Occur under Low Perceptual Demands during Driving', Scientific Reports, vol. 6, no. 1.
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AbstractFluctuations in attention behind the wheel poses a significant risk for driver safety. During transient periods of inattention, drivers may shift their attention towards internally-directed thoughts or feelings at the expense of staying focused on the road. This study examined whether increasing task difficulty by manipulating involved sensory modalities as the driver detected the lane-departure in a simulated driving task would promote a shift of brain activity between different modes of processing, reflected by brain network dynamics on electroencephalographic sources. Results showed that depriving the driver of salient sensory information imposes a relatively more perceptually-demanding task, leading to a stronger activation in the task-positive network. When the vehicle motion feedback is available, the drivers may rely on vehicle motion to perceive the perturbations, which frees attentional capacity and tends to activate the default mode network. Such brain network dynamics could have major implications for understanding fluctuations in driver attention and designing advance driver assistance systems.
Ling, SH, Chan, KY, Leung, FHF, Jiang, F & Nguyen, H 2016, 'Quality and robustness improvement for real world industrial systems using a fuzzy particle swarm optimization', ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 47, pp. 68-80.
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© 2015 Elsevier Ltd. This paper presents a novel fuzzy particle swarm optimization with cross-mutated (FPSOCM) operation, where a fuzzy logic system developed based on the knowledge of swarm intelligence is proposed to determine the inertia weight for the swarm movement of particle swarm optimization (PSO) and the control parameter of a newly introduced cross-mutated operation. Hence, the inertia weight of the PSO can be adaptive with respect to the search progress. The new cross-mutated operation intends to drive the solution to escape from local optima. A suite of benchmark test functions are employed to evaluate the performance of the proposed FPSOCM. Experimental results show empirically that the FPSOCM performs better than the existing hybrid PSO methods in terms of solution quality, robustness, and convergence rate. The proposed FPSOCM is evaluated by improving the quality and robustness of two real world industrial systems namely economic load dispatch system and self-provisioning systems for communication network services. These two systems are employed to evaluate the effectiveness of the proposed FPSOCM as they are multi-optima and non-convex problems. The performance of FPSOCM is found to be significantly better than that of the existing hybrid PSO methods in a statistical sense. These results demonstrate that the proposed FPSOCM is a good candidate for solving product or service engineering problems which have multi-optima or non-convex natures.
Ling, SH, San, PP & Nguyen, HT 2016, 'Non-invasive hypoglycemia monitoring system using extreme learning machine for Type 1 diabetes', ISA TRANSACTIONS, vol. 64, pp. 440-446.
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© 2016 ISA Hypoglycemia is a very common in type 1 diabetic persons and can occur at any age. It is always threatening to the well-being of patients with Type 1 diabetes mellitus (T1DM) since hypoglycemia leads to seizures or loss of consciousness and the possible development of permanent brain dysfunction under certain circumstances. Because of that, an accurate continuing hypoglycemia monitoring system is a very important medical device for diabetic patients. In this paper, we proposed a non-invasive hypoglycemia monitoring system using the physiological parameters of electrocardiography (ECG) signal. To enhance the detection accuracy, extreme learning machine (ELM) is developed to recognize the presence of hypoglycemia. A clinical study of 16 children with T1DM is given to illustrate the good performance of ELM.
Liu, B, Zhou, W, Zhu, T, Gao, L, Luan, TH & Zhou, H 2016, 'Silence is Golden: Enhancing Privacy of Location-Based Services by Content Broadcasting and Active Caching in Wireless Vehicular Networks', IEEE Transactions on Vehicular Technology, vol. 65, no. 12, pp. 9942-9953.
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Liu, B, Zhou, W, Zhu, T, Zhou, H & Lin, X 2016, 'Invisible Hand: A Privacy Preserving Mobile Crowd Sensing Framework Based on Economic Models', IEEE Transactions on Vehicular Technology, vol. 66, no. 5, pp. 1-1.
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Liu, C, Han, K, Lee, D-J & Wang, Q 2016, 'Simultaneous biological removal of phenol, sulfide, and nitrate using expanded granular sludge bed reactor', Applied Microbiology and Biotechnology, vol. 100, no. 9, pp. 4211-4217.
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Biological removal of sulfide, nitrate, and phenol at loading rates of 600 g S/(m(3) day), 900 g N/(m(3) day), and 450 g C/(m(3) day), respectively, from synthetic wastewaters was achieved in an expanded granular sludge bed (EGSB) reactor, whose rates are much higher than literature works and are considered feasible for handling high-strength petrochemical wastewaters without dilution. Effects of C/S ratio (2-2.5:1) on EGSB performance were noted insignificantly. The strains Bacillus sp., Thauera sp., and Pseudomonas sp. were the heterotrophic denitrifiers and the strains Thiobacillus sp., Azoarcus sp., and Sulfurovum sp. were the autotrophic denitrifiers in the EGSB granules. The EGSB reactor experienced biological breakdown at loadings higher than 1200 g S/(m(3) day), 1800 g N/(m(3) day), and 900 g C/(m(3) day) by the following mechanism: high sulfide first inhibits heterotrophic denitrifies (Bacillus sp. and Pseudomonas sp.), thereby accumulating nitrite in the system; then, the accumulated nitrite inhibits autotrophic denitrifiers (Thiobacillus sp., Azoarcus sp., and Sulfurovum sp.) to complete breakdown of the system.
Liu, C, Zhao, D, Ma, W, Guo, Y, Wang, A, Wang, Q & Lee, D-J 2016, 'Denitrifying sulfide removal process on high-salinity wastewaters in the presence of Halomonas sp.', Applied Microbiology and Biotechnology, vol. 100, no. 3, pp. 1421-1426.
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Biological conversion of sulfide, acetate, and nitrate to, respectively, elemental sulfur (S(0)), carbon dioxide, and nitrogen-containing gas (such as N2) at NaCl concentration of 35-70 g/L was achieved in an expanded granular sludge bed (EGSB) reactor. A C/N ratio of 1:1 was noted to achieve high sulfide removal and S(0) conversion rate at high salinity. The extracellular polymeric substance (EPS) quantities were increased with NaCl concentration, being 11.4-mg/g volatile-suspended solids at 70 mg/L NaCl. The denitrifying sulfide removal (DSR) consortium incorporated Thauera sp. and Halomonas sp. as the heterotrophs and Azoarcus sp. being the autotrophs at high salinity condition. Halomonas sp. correlates with the enhanced DSR performance at high salinity.
Liu, C, Zhu, J, Wang, Y, Lei, G & Guo, Y 2016, 'Cogging Torque Minimization of SMC PM Transverse Flux Machines Using Shifted and Unequal-Width Stator Teeth', IEEE Transactions on Applied Superconductivity, vol. 26, no. 4, pp. 1-4.
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Liu, C, Zhu, J, Wang, Y, Lei, G & Guo, Y 2016, 'Design Considerations of PM Transverse Flux Machines With Soft Magnetic Composite Cores', IEEE Transactions on Applied Superconductivity, vol. 26, no. 4, pp. 1-5.
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Liu, D, Xu, X, Du, Y, Qin, X, Zhang, Y, Ma, C, Wen, S, Ren, W, Goldys, EM, Piper, JA, Dou, S, Liu, X & Jin, D 2016, 'Three-dimensional controlled growth of monodisperse sub-50 nm heterogeneous nanocrystals', Nature Communications, vol. 7, no. 1, pp. 1-8.
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AbstractThe ultimate frontier in nanomaterials engineering is to realize their composition control with atomic scale precision to enable fabrication of nanoparticles with desirable size, shape and surface properties. Such control becomes even more useful when growing hybrid nanocrystals designed to integrate multiple functionalities. Here we report achieving such degree of control in a family of rare-earth-doped nanomaterials. We experimentally verify the co-existence and different roles of oleate anions (OA−) and molecules (OAH) in the crystal formation. We identify that the control over the ratio of OA− to OAH can be used to directionally inhibit, promote or etch the crystallographic facets of the nanoparticles. This control enables selective grafting of shells with complex morphologies grown over nanocrystal cores, thus allowing the fabrication of a diverse library of monodisperse sub-50 nm nanoparticles. With such programmable additive and subtractive engineering a variety of three-dimensional shapes can be implemented using a bottom–up scalable approach.
Liu, D, Xu, X, Wang, F, Zhou, J, Mi, C, Zhang, L, Lu, Y, Ma, C, Goldys, E, Lin, J & Jin, D 2016, 'Emission stability and reversibility of upconversion nanocrystals', Journal of Materials Chemistry C, vol. 4, no. 39, pp. 9227-9234.
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We report the emission stability and reversibility of NaYF4:Yb3+,Er3+ core and core–shell nanocrystals at different temperatures and pH values.
Liu, H, Boon, CC, He, X, Zhu, X, Yi, X, Kong, L & Heimlich, MC 2016, 'A Wideband Analog-Controlled Variable-Gain Amplifier With dB-Linear Characteristic for High-Frequency Applications', IEEE Transactions on Microwave Theory and Techniques, vol. 64, no. 2, pp. 1-8.
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© 2015 IEEE. A higher frequency, over 2 GHz, is suggested for current 4G or 5G wideband applications. By adopting a unique gain control method, an analog-controlled variable-gain amplifier (VGA) with an accurate dB-linear characteristic is presented. The designed VGA not only features large bandwidth, but also has accurate gain adjustment with a relatively wide control voltage range. The VGA has a measured gain range of 24 dB, of which 17.3 dB is dB-linear with less than ±0.3-dB gain error. The -3-dB bandwidth is relatively constant from 2 to 2.2 GHz for the entire dB-linear range. An output 1-dB compression point of 1.8 dBm and a noise figure of 24 dB are measured. Due to the simple structure, the current consumption of the VGA core is only 2.9 mA from a 1.2-V supply, and the size is only 225 μm ×45 μm, excluding pads. Moreover, the robustness of the designed VGA is verified by means of Monte Carlo simulation.
Liu, H, Hu, Z, Zhang, J, Ngo, HH, Guo, W, Liang, S, Fan, J, Lu, S & Wu, H 2016, 'Optimizations on supply and distribution of dissolved oxygen in constructed wetlands: A review', Bioresource Technology, vol. 214, pp. 797-805.
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© 2016 Dissolved oxygen (DO) is one of the most important factors that can influence pollutants removal in constructed wetlands (CWs). However, problems of insufficient oxygen supply and inappropriate oxygen distribution commonly exist in traditional CWs. Detailed analyses of DO supply and distribution characteristics in different types of CWs were introduced. It can be concluded that atmospheric reaeration (AR) served as the promising point on oxygen intensification. The paper summarized possible optimizations of DO in CWs to improve its decontamination performance. Process (tidal flow, drop aeration, artificial aeration, hybrid systems) and parameter (plant, substrate and operating) optimizations are particularly discussed in detail. Since economic and technical defects are still being cited in current studies, future prospects of oxygen research in CWs terminate this review.
Liu, H, Xu, M, Wang, J, Rao, T & Burnett, I 2016, 'Improving Visual Saliency Computing With Emotion Intensity', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 6, pp. 1201-1213.
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Liu, Q, Song, J & Li, J 2016, 'Using contrast patterns between true complexes and random subgraphs in PPI networks to predict unknown protein complexes', Scientific Reports, vol. 6, no. 1, pp. 1-15.
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AbstractMost protein complex detection methods utilize unsupervised techniques to cluster densely connected nodes in a protein-protein interaction (PPI) network, in spite of the fact that many true complexes are not dense subgraphs. Supervised methods have been proposed recently, but they do not answer why a group of proteins are predicted as a complex, and they have not investigated how to detect new complexes of one species by training the model on the PPI data of another species. We propose a novel supervised method to address these issues. The key idea is to discover emerging patterns (EPs), a type of contrast pattern, which can clearly distinguish true complexes from random subgraphs in a PPI network. An integrative score of EPs is defined to measure how likely a subgraph of proteins can form a complex. New complexes thus can grow from our seed proteins by iteratively updating this score. The performance of our method is tested on eight benchmark PPI datasets and compared with seven unsupervised methods, two supervised and one semi-supervised methods under five standards to assess the quality of the predicted complexes. The results show that in most cases our method achieved a better performance, sometimes significantly.
Liu, S, Li, W, Davis, S, Ritz, C & Tian, H 2016, 'Planogram Compliance Checking Based on Detection of Recurring Patterns', IEEE MultiMedia, vol. 23, no. 2, pp. 54-63.
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In this paper, a novel method for automatic planogram compliance checking inretail chains is proposed without requiring product template images fortraining. Product layout is extracted from an input image by means ofunsupervised recurring pattern detection and matched via graph matching withthe expected product layout specified by a planogram to measure the level ofcompliance. A divide and conquer strategy is employed to improve the speed.Specifically, the input image is divided into several regions based on theplanogram. Recurring patterns are detected in each region respectively and thenmerged together to estimate the product layout. Experimental results on realdata have verified the efficacy of the proposed method. Compared with atemplate-based method, higher accuracies are achieved by the proposed methodover a wide range of products.
Liu, W, Luo, X, Gong, Z, Xuan, J, Kou, NM & Xu, Z 2016, 'Discovering the core semantics of event from social media', Future Generation Computer Systems, vol. 64, pp. 175-185.
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Liu, W, Luo, X, Xuan, J, Xu, Z & Jiang, D 2016, 'Cognitive memory-inspired sentence ordering model.', Knowl. Based Syst., vol. 104, pp. 1-13.
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Liu, X, Wang, Y, Zhu, J, Guo, Y, Lei, G & Liu, C 2016, 'Calculation of Capacitance in High-Frequency Transformer Windings', IEEE Transactions on Magnetics, vol. 52, no. 7, pp. 1-4.
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Liu, X, Wang, Y, Zhu, J, Guo, Y, Lei, G & Liu, C 2016, 'Calculation of core loss and copper loss in amorphous/nanocrystalline core-based high-frequency transformer', AIP Advances, vol. 6, no. 5, pp. 055927-055927.
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Amorphous and nanocrystalline alloys are now widely used for the cores of high-frequency transformers, and Litz-wire is commonly used as the windings, while it is difficult to calculate the resistance accurately. In order to design a high-frequency transformer, it is important to accurately calculate the core loss and copper loss. To calculate the core loss accurately, the additional core loss by the effect of end stripe should be considered. It is difficult to simulate the whole stripes in the core due to the limit of computation, so a scale down model with 5 stripes of amorphous alloy is simulated by the 2D finite element method (FEM). An analytical model is presented to calculate the copper loss in the Litz-wire, and the results are compared with the calculations by FEM.
Liu, X, Zeng, Z & Wen, S 2016, 'Implementation of Memristive Neural Network With Full-Function Pavlov Associative Memory', IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 63, no. 9, pp. 1454-1463.
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In this paper, implementation of memristive neural network with full-function Pavlov associative memory is designed based on a proposed associative memory rule. The designed neural network can well perform the Pavlov associative memory in the network with at least three interconnected neurons. This neural network and the associative memory rule that is partly based on spike-rate-dependent plasticity (SRDP) protocol are inspired by the famous Pavlov's dog-experiment that demonstrated the interrelation between the 'sight of food' and the 'ringing.' Besides the learning activity, the proposed network can also perform two kinds of forgetting activities after the learning process is completed: on one hand, when the salivation neuron is stimulated by the food neuron alone, after a period of time, the ring neuron can no longer trigger the salivation neuron; on the other hand, when the salivation neuron is stimulated by the ring neuron alone, at first the salivation neuron can be triggered but after the salivation neuron realizes that the 'ringing' is not associated with 'food,' the salivation neuron will not be triggered any longer. How to integrate the proposed network into large scale memristive neural network with multiple associations is also introduced. Simulations results demonstrate the correctness of the designs.
Liu, Y, Guo, J, Wang, Q & Huang, D 2016, 'Prediction of Filamentous Sludge Bulking using a State-based Gaussian Processes Regression Model', Scientific Reports, vol. 6, no. 1, p. 31303.
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AbstractActivated sludge process has been widely adopted to remove pollutants in wastewater treatment plants (WWTPs). However, stable operation of activated sludge process is often compromised by the occurrence of filamentous bulking. The aim of this study is to build a proper model for timely diagnosis and prediction of filamentous sludge bulking in an activated sludge process. This study developed a state-based Gaussian Process Regression (GPR) model to monitor the filamentous sludge bulking related parameter, sludge volume index (SVI), in such a way that the evolution of SVI can be predicted over multi-step ahead. This methodology was validated with SVI data collected from one full-scale WWTP. Online diagnosis and prediction of filamentous bulking sludge with real-time SVI prediction was tested through a simulation study. The results showed that the proposed methodology was capable of predicting future SVIs with good accuracy, thus providing sufficient time for predicting and controlling filamentous sludge bulking.
Liu, Y, Li, K, Jia, Y, Hao, Y, Gong, S & Guo, YJ 2016, 'Wideband RCS Reduction of a Slot Array Antenna Using Polarization Conversion Metasurfaces', IEEE Transactions on Antennas and Propagation, vol. 64, no. 1, pp. 326-331.
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© 2015 IEEE. A new approach to reducing the monostatic radar cross section (RCS) and preserving the radiation characteristics of a slot array antenna by employing polarization conversion metasurfaces (PCMs) is presented in this communication. The PCM is arranged in a chessboard configuration consisting of fishbone-shaped element. It is placed on the surface of the slot array antenna. The characteristics and mechanism of the RCS reduction are analyzed. Simulated and experimental results show that the monostatic RCS reduction band of the antenna with PCM ranges between 6.0 and 18.0 GHz for normally impinging both x-and y-polarized waves. The radiation characteristics of the antenna are well preserved simultaneously in terms of the impedance bandwidth, radiation patterns, and realized boresight gains.
Liu, Y, Ngo, HH, Guo, W, Peng, L, Pan, Y, Guo, J, Chen, X & Ni, B-J 2016, 'Autotrophic nitrogen removal in membrane-aerated biofilms: Archaeal ammonia oxidation versus bacterial ammonia oxidation', Chemical Engineering Journal, vol. 302, pp. 535-544.
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© 2016 Elsevier B.V. Recent discovery of ammonia-oxidizing archaea (AOA) not only substantially improved our understanding of the global nitrogen cycle, but also provided new possibilities for nitrogen removal from wastewater. In particular, compared to ammonia-oxidizing bacteria (AOB), the high ammonia oxidation under oxygen-limited conditions driven by AOA is potentially more suitable for autotrophic nitrogen removal in a single-stage membrane aerated biofilm reactor (MABR) through coupling with anaerobic ammonia oxidation (Anammox). In this work, mathematical modeling is applied to assess the system performance and associated microbial community structure of an AOA–Anammox MABR under low- (30 mg N L−1) and high-strength (500 mg N L−1) ammonium conditions, with a side-by-side comparison to an AOB–Anammox MABR system under the same conditions. Results demonstrate that both ammonium surface loading (or hydraulic retention time) and oxygen surface loading significantly affect the system performance. In contrast to AOB–Anammox system, the AOA–Anammox MABR shows higher total nitrogen (TN) removal and lower oxygen supply, with much better repression of NOB and substantially wider operating window for high-level TN removal (>80%) in terms of varied oxygen and ammonium loadings. These results provide first insights and useful information for design and operation of this novel AOA–Anammox MABR system in its potential future applications.
Liu, Y, Peng, L, Ngo, HH, Guo, W, Wang, D, Pan, Y, Sun, J & Ni, B-J 2016, 'Evaluation of Nitrous Oxide Emission from Sulfide- and Sulfur-Based Autotrophic Denitrification Processes', Environmental Science & Technology, vol. 50, no. 17, pp. 9407-9415.
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© 2016 American Chemical Society. Recent studies have shown that sulfide- and sulfur-based autotrophic denitrification (AD) processes play an important role in contributing to nitrous oxide (N2O) production and emissions. However, N2O production is not recognized in the current AD models, limiting their ability to predict N2O accumulation during AD. In this work, a mathematical model is developed to describe N2O dynamics during sulfide- and sulfur-based AD processes for the first time. The model is successfully calibrated and validated using N2O data from two independent experimental systems with sulfide or sulfur as electron donors for AD. The model satisfactorily describes nitrogen reductions, sulfide/sulfur oxidation, and N2O accumulation in both systems. Modeling results revealed substantial N2O accumulation due to the relatively low N2O reduction rate during both sulfide- and sulfur-based AD processes. Application of the model to simulate long-term operations of activated sludge systems performing sulfide- and sulfur-based AD processes indicates longer sludge retention time reduced N2O emission. For sulfide-based AD process, higher initial S/N ratio also decreased N2O emission but with a higher operational cost. This model can be a useful tool to support process operation optimization for N2O mitigation during AD with sulfide or sulfur as electron donor.
Liu, Y, Sun, J, Peng, L, Wang, D, Dai, X & Ni, B-J 2016, 'Assessment of Heterotrophic Growth Supported by Soluble Microbial Products in Anammox Biofilm using Multidimensional Modeling', Scientific Reports, vol. 6, no. 1, p. 27576.
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AbstractAnaerobic ammonium oxidation (anammox) is known to autotrophically convert ammonium to dinitrogen gas with nitrite as the electron acceptor, but little is known about their released microbial products and how these are relative to heterotrophic growth in anammox system. In this work, we applied a mathematical model to assess the heterotrophic growth supported by three key microbial products produced by bacteria in anammox biofilm (utilization associated products (UAP), biomass associated products (BAP), and decay released substrate). Both One-dimensional and two-dimensional numerical biofilm models were developed to describe the development of anammox biofilm as a function of the multiple bacteria–substrate interactions. Model simulations show that UAP of anammox is the main organic carbon source for heterotrophs. Heterotrophs are mainly dominant at the surface of the anammox biofilm with small fraction inside the biofilm. 1-D model is sufficient to describe the main substrate concentrations/fluxes within the anammox biofilm, while the 2-D model can give a more detailed biomass distribution. The heterotrophic growth on UAP is mainly present at the outside of anammox biofilm, their growth on BAP (HetB) are present throughout the biofilm, while the growth on decay released substrate (HetD) is mainly located in the inner layers of the biofilm.
Liu, Y, Tugtas, AE, Sharma, KR, Ni, B-J & Yuan, Z 2016, 'Sulfide and methane production in sewer sediments: Field survey and model evaluation', Water Research, vol. 89, pp. 142-150.
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© 2015 Elsevier Ltd. Sewer sediment processes have been reported to significantly contribute to overall sulfide and methane production in sewers, at a scale comparable to that of sewer biofilms. The physiochemical and biological characteristics of sewer sediments are heterogeneous; however, the variability of in-sediments sulfide and methane production rates among sewers has not been assessed to date. In this study, five sewer sediment samples were collected from two cities in Australia with different climatic conditions. Batch assays were conducted to determine the rates of sulfate reduction and methane production under different flow velocity (shear stress) conditions as well as under completely mixed conditions. The tests showed substantial and variable sulfate reduction and methane production activities among different sediments. Sulfate reduction and methane production from sewer sediments were confirmed to be areal processes, and were dependent on flow velocity/shear stress. Despite of the varying characteristics and reactions kinetics, the sulfate reduction and methane production processes in all sediments could be well described by a one-dimensional sewer sediment model recently developed based on results obtained from a laboratory sewer sediment reactor. Model simulations indicated that the in-situ contribution of sewer sediment emissions could be estimated without the requirement of measuring the specific sediment characteristics or the sediment depths.
Liu, Y, Wang, Y, Sowmya, A & Chen, F 2016, 'Soft Hough Forest-ERTs: Generalized Hough Transform based object detection from soft-labelled training data', Pattern Recognition, vol. 60, pp. 145-156.
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Classical supervised object detection methods learn object models from labelled training data. This is tedious to create especially when the training dataset is large. Detection methods such as background subtraction and headlight detection can detect potential positive blobs that may contain the object without labelled training data. However, such blobs are not always accurate. They may include noise such as part of an object, multiple objects and other types of objects. Therefore, soft labels that indicate their probability of being positive may be more useful. A modified soft label estimation method based on Maximum Mean Discrepancy is introduced in this work. Based on it, a Generalized Hough Transform based object detection method from soft-labelled training data is proposed to utilize potential detections and their estimated soft labels. Experimental results show that the method can achieve comparable performance to supervised methods. It outperforms both Generalized Hough Transform based object detection with hard-labelled training blobs, and a state-of-the-art weakly supervised method.
Liu, Y, Xiao, H, Pan, Y, Huang, D & Wang, Q 2016, 'Development of multiple-step soft-sensors using a Gaussian process model with application for fault prognosis', Chemometrics and Intelligent Laboratory Systems, vol. 157, pp. 85-95.
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Predicting the degradation of working conditions and trending of fault propagation before they reach the alarm or failure control limit is significantly important to optimize the operational capacity of a chemical process. However, traditional one-step-ahead (OS) soft-sensors render such benefits inadequate. Direct, Recursive and Direct-recursive strategies are proposed to generalize the Gaussian Process Regression (GPR) model for multi-step-ahead (MS) prediction, thereby supporting the fault diagnosis and prognosis of the product qualities control for chemical processes. The proposed methodology was firstly demonstrated by applying the designed algorithm to a wastewater plant (WWTP) simulated with the well-established model, i.e., Benchmark Simulation Model 1 (BSM1), then extended to a full-scale WWTP with data collected from the field influenced by filamentous sludge bulking. Results showed that the proposed strategies significantly improved the prediction performance.
Liu, Y-T, Lin, Y-Y, Wu, S-L, Chuang, C-H & Lin, C-T 2016, 'Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 2, pp. 347-360.
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© 2012 IEEE. This paper proposes a generalized prediction system called a recurrent self-evolving fuzzy neural network (RSEFNN) that employs an on-line gradient descent learning rule to address the electroencephalography (EEG) regression problem in brain dynamics for driving fatigue. The cognitive states of drivers significantly affect driving safety; in particular, fatigue driving, or drowsy driving, endangers both the individual and the public. For this reason, the development of brain-computer interfaces (BCIs) that can identify drowsy driving states is a crucial and urgent topic of study. Many EEG-based BCIs have been developed as artificial auxiliary systems for use in various practical applications because of the benefits of measuring EEG signals. In the literature, the efficacy of EEG-based BCIs in recognition tasks has been limited by low resolutions. The system proposed in this paper represents the first attempt to use the recurrent fuzzy neural network (RFNN) architecture to increase adaptability in realistic EEG applications to overcome this bottleneck. This paper further analyzes brain dynamics in a simulated car driving task in a virtual-reality environment. The proposed RSEFNN model is evaluated using the generalized cross-subject approach, and the results indicate that the RSEFNN is superior to competing models regardless of the use of recurrent or nonrecurrent structures.
Liu, Z, Liang, J & Wu, C 2016, 'The diffraction of Rayleigh waves by a fluid-saturated alluvial valley in a poroelastic half-space modeled by MFS', Computers & Geosciences, vol. 91, pp. 33-48.
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Llopis-Albert, C, Merigó, JM & Xu, Y 2016, 'A coupled stochastic inverse/sharp interface seawater intrusion approach for coastal aquifers under groundwater parameter uncertainty', Journal of Hydrology, vol. 540, pp. 774-783.
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© 2016 Elsevier B.V. This paper presents an alternative approach to deal with seawater intrusion problems, that overcomes some of the limitations of previous works, by coupling the well-known SWI2 package for MODFLOW with a stochastic inverse model named GC method. On the one hand, the SWI2 allows a vertically integrated variable-density groundwater flow and seawater intrusion in coastal multi-aquifer systems, and a reduction in number of required model cells and the elimination of the need to solve the advective-dispersive transport equation, which leads to substantial model run-time savings. On the other hand, the GC method allows dealing with groundwater parameter uncertainty by constraining stochastic simulations to flow and mass transport data (i.e., hydraulic conductivity, freshwater heads, saltwater concentrations and travel times) and also to secondary information obtained from expert judgment or geophysical surveys, thus reducing uncertainty and increasing reliability in meeting the environmental standards. The methodology has been successfully applied to a transient movement of the freshwater-seawater interface in response to changing freshwater inflow in a two-aquifer coastal aquifer system, where an uncertainty assessment has been carried out by means of Monte Carlo simulation techniques. The approach also allows partially overcoming the neglected diffusion and dispersion processes after the conditioning process since the uncertainty is reduced and results are closer to available data.
Llopis-Albert, C, Palacios-Marqués, D & Merigó, JM 2016, 'Decision making under uncertainty in environmental projects using mathematical simulation modeling', Environmental Earth Sciences, vol. 75, no. 19.
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© 2016, Springer-Verlag Berlin Heidelberg. In decision-making processes, reliability and risk aversion play a decisive role. The aim of this study is to perform an uncertainty assessment of the effects of future scenarios of sustainable groundwater pumping strategies on the quantitative and chemical status of an aquifer. The good status of the aquifer is defined according to the terms established by the EU Water Framework Directive (WFD). A decision support systems (DSS) is presented, which makes use of a stochastic inverse model (GC method) and geostatistical approaches to calibrate equally likely realizations of hydraulic conductivity (K) fields for a particular case study. These K fields are conditional to available field data, including hard and soft information. Then, different future scenarios of groundwater pumping strategies are generated, based on historical information and WFD standards, and simulated for each one of the equally likely K fields. The future scenarios lead to different environmental impacts and levels of socioeconomic development of the region and, hence, to a different degree of acceptance among stakeholders. We have identified the different stakeholders implied in the decision-making process, the objectives pursued and the alternative actions that should be considered by stakeholders in a public participation project (PPP). The MonteCarlo simulation provides a highly effective way for uncertainty assessment and allows presenting the results in a simple and understandable way even for non-experts stakeholders. The methodology has been successfully applied to a real case study and lays the foundations to perform a PPP and stakeholders’ involvement in a decision-making process as required by the WFD. The results of the methodology can help the decision-making process to come up with the best policies and regulations for a groundwater system under uncertainty in groundwater parameters and management strategies and involving stakeh...
Lloret‐Cabot, M, Sloan, SW, Sheng, D & Abbo, AJ 2016, 'Error behaviour in explicit integration algorithms with automatic substepping', International Journal for Numerical Methods in Engineering, vol. 108, no. 9, pp. 1030-1053.
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SummaryThis paper studies the behaviour of the error incurred when numerically integrating the elasto‐plastic mechanical relationships of a constitutive model for soils using an explicit substepping formulation with automatic error control. The correct update of all the variables involved in the numerical integration of the incremental stress–strain relationships is central to the computational performance of the integration scheme, and, although often missed in the literature, all variables (including specific volume) should be explicitly considered in the algorithmic formulation. This is demonstrated in the paper by studying, in the context of the Cam clay formulations for saturated soils, the influence that the updating of the specific volume has on the accuracy of the numerical solution. The fact that the variation of the local error with the size of the integrated strain depends on the order of local accuracy of the numerical method is also used in the paper to propose a simple and powerful strategy to verify the correctness of the implemented mathematical formulation. Copyright © 2016 John Wiley & Sons, Ltd.
Loke, L & Kocaballi, AB 2016, 'Choreographic Inscriptions: A Framework for Exploring Sociomaterial Influences on Qualities of Movement for HCI', Human Technology, vol. 12, no. 1, pp. 31-55.
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© 2016 Lian Loke & A. Baki Kocaballi, and the Agora Center, University of Jyväskylä. With the rise of ubiquitous computing technologies in everyday life, the daily actions of people are becoming ever more choreographed by the interactions available through technology. By combining the notion of inscriptions from actor-network theory and the qualitative descriptors of movement from Laban movement analysis, an analytic framework is proposed for exploring how the interplay of material and social inscriptions gives rise to movement patterns and behaviors, translated into choreographic inscriptions described with Laban effort and shape. It is demonstrated through a case study of an affective gesture mobile device. The framework provides an understanding of (a) how movement qualities are shaped by social and material inscriptions, (b) how the relative strength of inscriptions on movements may change according to different settings and user appropriation over time, and (c) how transforming inscriptions by design across different mediums can generate action spaces with varying degrees of openness.
Long, Z, Duckham, M, Li, S & Schockaert, S 2016, 'Indexing large geographic datasets with compact qualitative representation', International Journal of Geographical Information Science, vol. 30, no. 6, pp. 1072-1094.
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© 2015 Taylor & Francis. This paper develops a new mechanism to efficiently compute and compactly store qualitative spatial relations between spatial objects, focusing on topological and directional relations for large datasets of region objects. The central idea is to use minimum bounding rectangles (MBRs) to approximately represent region objects with arbitrary shape and complexity and only store spatial relations that cannot be unambiguously inferred from the relations of corresponding MBRs. We demonstrate, both in theory and practice, that our approach requires considerably less construction time and storage space, and can answer queries more efficiently than the state-of-the-art methods.
Lopez-Lorca, A, Beydoun, G, Valencia-Garcia, R & Martinez-Bejar, R 2016, 'Automating the reuse of domain knowledge to improve the modelling outcome from interactions between developers and clients', COMPUTING, vol. 98, no. 6, pp. 609-640.
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Lopez-Lorca, AA, Beydoun, G, Valencia-Garcia, R & Martinez-Bejar, R 2016, 'Supporting agent oriented requirement analysis with ontologies', INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, vol. 87, pp. 20-37.
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© 2015 Elsevier Ltd. All rights reserved. Requirements analysis activities underpin the success of the software development lifecycle. Subsequent errors in the requirements models can propagate to models in later phases and become much costlier to fix. Errors in requirement analysis are more likely in developing complex systems. Particularly, errors due to miscommunication and misinterpretation of a client's intentions are common. Ontologies relying on formal descriptions of semantics have often been used in multi agent systems (MAS) development to support various activities and generally improve the complex systems produced. However, their use during requirements analysis to validate match with the client's conceptualisation is largely unexplored. This article presents an ontology driven validation process to support requirement analysis of MAS models. This process is underpinned by an agent-based metamodel that describes commonly used informal agent requirement models. The process concurrently and incrementally validates the informal MAS requirement models produced. The synthesis of the process is first justified and illustrated in a manual tracing of the process. The paper then describes an interactive support tool to harness the formal semantics of ontologies and by pass the costly manual effort. The validation process is evaluated and illustrated using three case studies.
Lu, DD-C 2016, 'High Voltage Stress in Single-Phase Single-Stage PFC Converters: Analysis and an Alternative Solution', IEEE Transactions on Industrial Electronics, vol. 63, no. 1, pp. 133-143.
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© 2015 IEEE. Single-stage power-factor-corrected (S2PFC) power supplies usually suffer from high voltage stress, due to lack of control on the intermediate bus capacitor voltage. In the past, analysis of such voltage stress was mostly based on steady-state condition without providing sufficient explanation during the transient circuit operation. This paper revisits the problem at circuit level and reports that the root cause is due to the inherent negative current feedback property of the output inductor or the transformer operating in continuous conductionmode (CCM). Based on the finding, this paper further proposes a new approach to reducing the voltage stress by adding an auxiliary circuit branch to existing S2PFC converters. The additional circuit branch limits the effect of negative current feedback by suppressing the change of output current slope due to change of load. This assists the pulsewidth modulation controller to track the change of load better such that the bus capacitor voltage range is reduced through duty cycle control. The auxiliary circuit branch also reduces reverse-recovery-related losses of the converter under CCM operation. A laboratory prototype using the popular boost PFC converter combined flyback dc/dc converter was built and tested to confirmthe analysis and effectiveness of the approach.
Lu, DD-C, Soon, JL & Verstraete, D 2016, 'Derivation of Dual-Switch Step-Down DC/DC Converters With Fault-Tolerant Capability', IEEE Transactions on Power Electronics, vol. 31, no. 9, pp. 6064-6068.
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Lu, J, Han, J, Hu, Y & Zhang, G 2016, 'Multilevel decision-making: A survey', INFORMATION SCIENCES, vol. 346, pp. 463-487.
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© 2016 Elsevier Inc. All rights reserved. Multilevel decision-making techniques aim to deal with decentralized management problems that feature interactive decision entities distributed throughout a multiple level hierarchy. Significant efforts have been devoted to understanding the fundamental concepts and developing diverse solution algorithms associated with multilevel decision-making by researchers in areas of both mathematics/computer science and business areas. Researchers have emphasized the importance of developing a range of multilevel decision-making techniques to handle a wide variety of management and optimization problems in real-world applications, and have successfully gained experience in this area. It is thus vital that a high quality, instructive review of current trends should be conducted, not only of the theoretical research results but also the practical developments in multilevel decision-making in business. This paper systematically reviews up-to-date multilevel decision-making techniques and clusters related technique developments into four main categories: bi-level decision-making (including multi-objective and multi-follower situations), tri-level decision-making, fuzzy multilevel decision-making, and the applications of these techniques in different domains. By providing state-of-the-art knowledge, this survey will directly support researchers and practical professionals in their understanding of developments in theoretical research results and applications in relation to multilevel decision-making techniques.
Lu, M, Liang, J, Wang, Z & Yuan, X 2016, 'Exploring OD patterns of interested region based on taxi trajectories', Journal of Visualization, vol. 19, no. 4, pp. 811-821.
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© 2016, The Visualization Society of Japan. Abstract: Traffics of different regions in a city have different Origin-Destination (OD) patterns, which potentially reveal the surrounding traffic context and social functions. In this work, we present a visual analysis system to explore OD patterns of interested regions based on taxi trajectories. The system integrates interactive trajectory filtering with visual OD patterns exploration. Trajectories related to interested region are selected by a suite of graphical filtering tools, from which OD clusters are detected automatically. OD traffic patterns can be explored at two levels: overview of OD and detailed exploration on dynamic OD patterns, including information of dynamic traffic volume and travel time. By testing on real taxi trajectory data sets, we demonstrate the effectiveness of our system. Graphical Abstract: [Figure not available: see fulltext.]
Lu, M, Sloan, SW, Indraratna, B, Jing, H & Xie, K 2016, 'A new analytical model for consolidation with multiple vertical drains', International Journal for Numerical and Analytical Methods in Geomechanics, vol. 40, no. 11, pp. 1623-1640.
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SummaryVarious analytical theories of consolidation for soils with vertical drains have been proposed in the past. Most conventional theories are based on a cylindrical unit cell that contains only a single vertical drain. This paper described a new analytical model where a vertical drain located at the centre (the ‘inner vertical drain’) and is surrounded by two or three vertical drains (the ‘outer vertical drains’), the number of which depends on whether the configuration is triangular or rectangular. Both types of drains are combined into a cylindrical unit cell, and the water is assumed to flow both inwards to the inner vertical drain and outwards to the outer vertical drains distributed around the circumference. The outer radial boundary of the unit cell is regarded as a permeable boundary, with a drainage capacity of two or three separate vertical drains for triangular and rectangular configurations, respectively. The smear effects and the drainage resistances for both the inner and outer vertical drains are considered in the analysis as well. In this way, the equations governing the consolidation process with multiple vertical drains are derived, and the corresponding analytical solutions are obtained for instantaneously loading, ramp loading and multi‐stage of instantaneously loading and multi‐stage of ramp loading. The present solutions are finally compared with several conventional solutions for a single vertical drain in the literature. The results show that the present model predicts the same average degree of consolidation as conventional models do, which verifies the correctness of this new model. Finally, the settlement predicted by the present solution is compared with the measured settlement from a field test at the Port of Brisbane, Australia, which shows a good agreement between them. Copyright © 2016 John Wiley & Sons, Ltd.
Lu, N, Lu, J, Zhang, G & Lopez de Mantaras, R 2016, 'A concept drift-tolerant case-base editing technique', ARTIFICIAL INTELLIGENCE, vol. 230, pp. 108-133.
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© 2015 Elsevier B.V. All rights reserved. The evolving nature and accumulating volume of real-world data inevitably give rise to the so-called 'concept drift' issue, causing many deployed Case-Based Reasoning (CBR) systems to require additional maintenance procedures. In Case-base Maintenance (CBM), case-base editing strategies to revise the case-base have proven to be effective instance selection approaches for handling concept drift. Motivated by current issues related to CBR techniques in handling concept drift, we present a two-stage case-base editing technique. In Stage 1, we propose a Noise-Enhanced Fast Context Switch (NEFCS) algorithm, which targets the removal of noise in a dynamic environment, and in Stage 2, we develop an innovative Stepwise Redundancy Removal (SRR) algorithm, which reduces the size of the case-base by eliminating redundancies while preserving the case-base coverage. Experimental evaluations on several public real-world datasets show that our case-base editing technique significantly improves accuracy compared to other case-base editing approaches on concept drift tasks, while preserving its effectiveness on static tasks.
Lu, S, Chen, F, Ngo, HH, Guo, W, Feng, C, Wu, J & Zheng, B 2016, 'Effect of straw and polyacrylamide on the stability of land/water ecotone soil and the field implementation', Ecological Engineering, vol. 94, pp. 12-21.
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Luccio, F, Mans, B, Mathieson, L & Pagli, L 2016, 'Complete Balancing via Rotation', The Computer Journal, vol. 59, no. 8, pp. 1252-1263.
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Luo, L, Jiang, Z, Wei, D, Manabe, K-I, Zhao, X, Wu, D & Furushima, T 2016, 'Effects of surface roughness on micro deep drawing of circular cups with consideration of size effects', Finite Elements in Analysis and Design, vol. 111, pp. 46-55.
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© 2015 Elsevier B.V. All rights reserved. Surface roughness, compared with tiny sizes of micro products, can be relatively large and has significant influences on micro forming processes and products' quality. In this study, a voronoi finite element model that considers size effects of material was developed. Next the surface roughness information was assigned to this voronoi model through different elemental thickness distributions. Furthermore, springback simulation was conducted for the micro deep drawn circular cups. Simulation results demonstrate that the surface roughness with consideration of size effects has significant influences on the overall springback, the drawability represented by the minimum thickness and products' quality regarding thickness evenness and shape accuracy. This study also shows that the results from the new models are close to the experimental results concerning the diameter of cup mouth and the maximum drawing force. The developed model for the micro deep drawing is accurate and beneficial for the development of micro deep drawing process.
Luo, L, Wang, XC, Ngo, HH & Guo, W 2016, 'Thermodynamic entropy of organic oxidation in the water environment: experimental evaluation compared to semi-empirical calculation', Environmental Science and Pollution Research, vol. 23, no. 21, pp. 21350-21359.
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Luo, Q & Tong, L 2016, 'An algorithm for eradicating the effects of void elements on structural topology optimization for nonlinear compliance', Structural and Multidisciplinary Optimization, vol. 53, no. 4, pp. 695-714.
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Luo, Q & Tong, L 2016, 'Elimination of the Effects of Low Density Elements in Topology Optimization of Buckling Structures', International Journal of Computational Methods, vol. 13, no. 06, pp. 1650041-1650041.
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This paper presents an algorithm for structural topology optimization involving linear buckling. In this algorithm, finite element analysis (FEA) is conducted only in a domain with solid and gray elements, eliminating the contribution of low density elements; and the response function is constructed in the full design domain accounting the contribution of removed low density elements. The errors induced by removing void elements in FEA on eigenvalue and eigenvectors are analyzed. By introducing a dynamic low bound of the first eigenvalue and a load-path coefficient, the algorithm allows converged, nondisjointed and accurate solutions for topology optimization of structures involving buckling. Numerical results are presented for plate and column-beam structures against linear buckling to illustrate the efficiency and effectiveness of the present algorithm. Buckling experiments of the plates manufactured from the obtained topologies further verify the present algorithm.
Luo, Q & Tong, L 2016, 'Solutions for Clamped Adhesively Bonded Single Lap Joint With Movement of Support End and Its Application to a Carbon Nanotube Junction in Tension', The Journal of Adhesion, vol. 92, no. 5, pp. 349-379.
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Luo, S, Yu, H, Zhao, Y, Wang, S, Yu, S & Li, L 2016, 'Towards Practical and Near-Optimal Coflow Scheduling for Data Center Networks', IEEE Transactions on Parallel and Distributed Systems, vol. 27, no. 11, pp. 3366-3380.
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In current data centers, an application (e.g., MapReduce, Dryad, search platform, etc.) usually generates a group of parallel flows to complete a job. These flows compose a coflow and only completing them all is meaningful to the application. Accordingly, minimizing the average Coflow Completion Time (CCT) becomes a critical objective of flow scheduling. However, achieving this goal in today's Data Center Networks (DCNs) is quite challenging, not only because the schedule problem is theoretically NP-hard, but also because it is tough to perform practical flow scheduling in large-scale DCNs. In this paper, we find that minimizing the average CCT of a set of coflows is equivalent to the well-known problem of minimizing the sum of completion times in a concurrent open shop. As there are abundant existing solutions for concurrent open shop, we open up a variety of techniques for coflow scheduling. Inspired by the best known result, we derive a 2-approximation algorithm for coflow scheduling, and further develop a decentralized coflow scheduling system, D-CAS, which avoids the system problems associated with current centralized proposals while addressing the performance challenges of decentralized suggestions. Trace-driven simulations indicate that D-CAS achieves a performance close to Varys, the state-of-the-art centralized method, and outperforms Baraat, the only existing decentralized method, significantly.
Luo, W, Hai, FI, Price, WE, Elimelech, M & Nghiem, LD 2016, 'Evaluating ionic organic draw solutes in osmotic membrane bioreactors for water reuse', Journal of Membrane Science, vol. 514, pp. 636-645.
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Luo, W, Hai, FI, Price, WE, Guo, W, Ngo, HH, Yamamoto, K & Nghiem, LD 2016, 'Phosphorus and water recovery by a novel osmotic membrane bioreactor–reverse osmosis system', Bioresource Technology, vol. 200, pp. 297-304.
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Luo, W, Phan, HV, Hai, FI, Price, WE, Guo, W, Ngo, HH, Yamamoto, K & Nghiem, LD 2016, 'Effects of salinity build-up on the performance and bacterial community structure of a membrane bioreactor', Bioresource Technology, vol. 200, pp. 305-310.
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Luo, W, Xie, M, Hai, FI, Price, WE & Nghiem, LD 2016, 'Biodegradation of cellulose triacetate and polyamide forward osmosis membranes in an activated sludge bioreactor: Observations and implications', Journal of Membrane Science, vol. 510, pp. 284-292.
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Luo, X, Xuan, J, Lu, J & Zhang, G 2016, 'Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation', ACM TRANSACTIONS ON INFORMATION SYSTEMS, vol. 34, no. 4.
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© 2016 ACM. The evolution potential estimation of news events can support the decision making of both corporations and governments. For example, a corporation could manage its public relations crisis in a timely manner if a negative news event about this corporation is known with large evolution potential in advance. However, existing state-of-the-art methods are mainly based on time series historical data, which are not suitable for the news events with limited historical data and bursty properties. In this article, we propose a purely content-based method to estimate the evolution potential of the news events. The proposed method considers a news event at a given time point as a system composed of different keywords, and the uncertainty of this system is defined and measured as the Semantic Uncertainty of this news event. At the same time, an uncertainty space is constructed with two extreme states: the most uncertain state and the most certain state. We believe that the Semantic Uncertainty has correlation with the content evolution of the news events, so it can be used to estimate the evolution potential of the news events. In order to verify the proposed method, we present detailed experimental setups and results measuring the correlation of the Semantic Uncertainty with the Content Change of news events using collected news events data. The results show that the correlation does exist and is stronger than the correlation of value from the time-series-based method with the Content Change. Therefore, we can use the Semantic Uncertainty to estimate the evolution potential of news events.
Luong, NC, Hoang, DT, Wang, P, Niyato, D, Kim, DI & Han, Z 2016, 'Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey', IEEE Communications Surveys & Tutorials, vol. 18, no. 4, pp. 2546-2590.
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This paper provides a state-of-the-art literature review on economic analysis and pricing models for data collection and wireless communication in Internet of Things (IoT). Wireless sensor networks (WSNs) are the main components of IoT which collect data from the environment and transmit the data to the sink nodes. For long service time and low maintenance cost, WSNs require adaptive and robust designs to address many issues, e.g., data collection, topology formation, packet forwarding, resource and power optimization, coverage optimization, efficient task allocation, and security. For these issues, sensors have to make optimal decisions from current capabilities and available strategies to achieve desirable goals. This paper reviews numerous applications of the economic and pricing models, known as intelligent rational decision-making methods, to develop adaptive algorithms and protocols for WSNs. Besides, we survey a variety of pricing strategies in providing incentives for phone users in crowdsensing applications to contribute their sensing data. Furthermore, we consider the use of some pricing models in machine-to-machine (M2M) communication. Finally, we highlight some important open research issues as well as future research directions of applying economic and pricing models to IoT.
Lyu, H, Gong, Y, Tang, J, Huang, Y & Wang, Q 2016, 'Immobilization of heavy metals in electroplating sludge by biochar and iron sulfide', Environmental Science and Pollution Research, vol. 23, no. 14, pp. 14472-14488.
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Electroplating sludge (ES) containing large quantities of heavy metals is regarded as a hazardous waste in China. This paper introduced a simple method of treating ES using environmentally friendly fixatives biochar (BC) and iron sulfide (FeS), respectively. After 3 days of treatment with FeS at a FeS-to-ES mass ratio of 1:5, the toxicity characteristic leaching procedure (TCLP)-based leachability of total Cr (TCr), Cu(II), Ni(II), Pb(II), and Zn(II) was decreased by 59.6, 100, 63.8, 73.5, and 90.5 %, respectively. After 5 days of treatment with BC at a BC-to-ES mass ratio of 1:2, the TCLP-based leachability was declined by 35.1, 30.6, 22.3, 23.1, and 22.4 %, respectively. Pseudo first-order kinetic model adequately simulated the sorption kinetic data. Structure and morphology analysis showed that adsorption, electrostatic attraction, surface complexation, and chemical precipitation were dominant mechanisms for heavy metals immobilization by BC, and that chemical precipitation (formation of metal sulfide and hydroxide precipitates), iron exchange (formation of CuFeS2), and surface complexation were mainly responsible for heavy metals removal by FeS. Economic costs of BC and FeS were 500 and 768 CNY/t, lower than that of Na2S (940 CNY/t). The results suggest that BC and FeS are effective, economic, and environmentally friendly fixatives for immobilization of heavy metals in ES before landfill disposal.
Lyu, M, Zhu, X & Yang, Q 2016, 'Dynamic field monitoring data analysis of an ancient wooden building in seismic and operational environments', Earthquakes and Structures, vol. 11, no. 6, pp. 1043-1060.
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The engineering background of this article is an ancient wooden building with extremely high historic and cultural values in Tibet. A full understanding of the dynamic behaviour of this historic building under in-service environments is the basis to assess the condition of the structure, especially its responses to earthquake, environmental and operational loading. A dynamic monitoring system has been installed in the building for over one year and the large amounts of high quality data have been obtained. The paper aims at studying the dynamic behaviour of the wooden building in seismic and operational conditions using the field monitoring data. Specifically the effects of earthquake and crowd loading on the structure's dynamic response are investigated. The monitoring data are decomposed into principal components using the Singular Spectrum Analysis (SSA) technique. The relationship between the average acceleration amplitude and frequencies of the principle components and operational conditions has been discussed. One main contribution is to understand the health condition of complex ancient building based on large databases collected on the field.
Ma, C, Xu, X, Wang, F, Zhou, Z, Wen, S, Liu, D, Fang, J, Lang, CI & Jin, D 2016, 'Probing the Interior Crystal Quality in the Development of More Efficient and Smaller Upconversion Nanoparticles', The Journal of Physical Chemistry Letters, vol. 7, no. 16, pp. 3252-3258.
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© 2016 American Chemical Society. Optical biomedical imaging using luminescent nanoparticles as contrast agents prefers small size, as they can be used at high dosages and efficiently cleared from body. Reducing nanoparticle size is critical for the stability and specificity for the fluorescence nanoparticles probes for in vitro diagnostics and subcellular imaging. The development of smaller and brighter upconversion nanoparticles (UCNPs) is accordingly a goal for complex imaging in bioenvironments. At present, however, small UCNPs are reported to exhibit less emission intensity due to increased surface deactivation and decreased number of dopants. Here we show that smaller and more efficient UCNPs can be made by improving the interior crystal quality via controlling heating rate during synthesis. We further developed a unique quantitative method for optical characterizations on the single UCNPs with varied sizes and the corresponding shell passivated UCNPs, confirming that the internal crystal quality dominates the relative emission efficiency of the UCNPs.
Ma, J, Ni, W, Yin, J, Liu, RP, Yuan, Y & Fang, B 2016, 'Modeling Mobile Cellular Networks Based on Social Characteristics', International Journal of Computers Communications & Control, vol. 11, no. 4, pp. 480-480.
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Social characteristics have become an important aspect of cellular systems, particularly in next generation networks where cells are miniaturised and social effects can have considerable impacts on network operations. Traffic load demonstrates strong spatial and temporal fluctuations caused by users social activities. In this article, we introduce a new modelling method which integrates the social aspects of individual cells in modelling cellular networks. In the new method, entropy based social characteristics and time sequences of traffic fluctuations are defined as key measures, and jointly evaluated. Spectral clustering techniques can be extended and applied to categorise cells based on these key parameters. Based on the social characteristics respectively, we implement multi-dimensional clustering technologies, and categorize the base stations. Experimental studies are carried out to validate our proposed model, and the effectiveness of the model is confirmed through the consistency between measurements and model. In practice, our modelling method can be used for network planning and parameter dimensioning to facilitate cellular network design, deployments and operations.
Ma, Q, Zhang, S, Zhou, W, Yu, S & Wang, C 2016, 'When Will You Have a New Mobile Phone? An Empirical Answer From Big Data', IEEE Access, vol. 4, pp. 10147-10157.
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When and why people change their mobile phones are important issues in mobile communications industry, because it will impact greatly on the marketing strategy and revenue estimation for both mobile operators and manufactures. It is a promising way to take use of big data to analyze and predict the phone changing event. In this paper, based on mobile user big data, first through statistical analysis, we find that three important probability distributions, i.e., power-law, log-normal, and geometric distribution, play an important role in the user behaviors. Second, the relationships between eight selected attributes and phone changing are built, for example, young people have greater intention to change their phones if they are using the phones belonging to the low occupancy phones or feature phones. Third, we verified the performance of four prediction models on phone changing event under three scenarios. Information gain ratio was used to implement attribute selection and then sampling method, cost-sensitive together with standard classifiers were used to solve imbalanced phone changing event. Experiment results show our proposed enhanced backpropagation neural network in the undersampling scenario can attain better prediction performance.
Ma, X, Jackson, T, Zhou, H, Chen, J, Lu, D, Mazurek, MD, Fisher, KAG, Peng, X, Kribs, D, Resch, KJ, Ji, Z, Zeng, B & Laflamme, R 2016, 'Pure State Tomography with Pauli Measurements', Phys. Rev. A, vol. 93, no. 3, p. 032140.
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We examine the problem of finding the minimum number of Pauli measurementsneeded to uniquely determine an arbitrary $n$-qubit pure state among allquantum states. We show that only $11$ Pauli measurements are needed todetermine an arbitrary two-qubit pure state compared to the full quantum statetomography with $16$ measurements, and only $31$ Pauli measurements are neededto determine an arbitrary three-qubit pure state compared to the full quantumstate tomography with $64$ measurements. We demonstrate that our protocol isrobust under depolarizing error with simulated random pure states. Weexperimentally test the protocol on two- and three-qubit systems with nuclearmagnetic resonance techniques. We show that the pure state tomography protocolsaves us a number of measurements without considerable loss of fidelity. Wecompare our protocol with same-size sets of randomly selected Pauli operatorsand find that our selected set of Pauli measurements significantly outperformsthose random sampling sets. As a direct application, our scheme can also beused to reduce the number of settings needed for pure-state tomography inquantum optical systems.
Ma, XY, Wang, XC, Wang, D, Ngo, HH, Zhang, Q, Wang, Y & Dai, D 2016, 'Function of a landscape lake in the reduction of biotoxicity related to trace organic chemicals from reclaimed water', Journal of Hazardous Materials, vol. 318, pp. 663-670.
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Mahdavi, H, Fatahi, B, Khabbaz, H, Vincent, P & Kelly, R 2016, 'Comparison of Coupled Flow-deformation and Drained Analyses for Road Embankments on CMC Improved Ground', Procedia Engineering, vol. 143, pp. 462-469.
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© 2016 The Authors. Published by Elsevier B.V. The use of controlled modulus columns (CMC) is gaining increased popularity in the support of rail and road bridge approach embankments on soft soils. The further columns are driven into the competent firm soils, the further the design will rely on the inclusions to take the bulk of the vertical loads, as they become rigid inclusions. The advantage of this design approach is that it produces increased control over the settlement, but as a result the columns will attract greater loads, including bending moment and shear force in situations where non-uniform loading or ground conditions exist. The load on the composite soil-CMC is uniformly distributed by the upper layer of granular load transfer platform (LTP), which also includes a layer of reinforcement. Finite difference program FLAC3D has been used to numerically simulate an embankment on the improved ground with end-bearing CMC. A geosynthetic reinforcement layer has been simulated using the inbuilt FLAC3D geogrid element. In this paper, a comparison has been made between the drained and coupled flow-deformation analyses. The force in the reinforcement layer, in particular, has been compared for the two analysis approaches. It was found that according to the numerical simulation, the drained analysis provides lower estimates of the settlement, lateral displacement; and therefore, predicts less tension in the geosynthetic layer.
Majeed, T, Phuntsho, S, Chekli, L, Lee, S-H, Kim, K & Shon, HK 2016, 'Role of various physical and chemical techniques for hollow fibre forward osmosis membrane cleaning', DESALINATION AND WATER TREATMENT, vol. 57, no. 17, pp. 7742-7752.
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© 2015 Balaban Desalination Publications. All rights reserved. Fouling is an inevitable phenomenon with most of the water treatment systems. Similar to RO, NF and other membrane-based systems, fouling also seriously affects the performance of low-cost forward-osmosis (FO) systems and disturbs the overall efficiency of these systems, and various cleaning practices have been evaluated to restore their designed performances. This study evaluates the performance of various physical and chemical cleaning techniques for hollow fibre forward-osmosis (HFFO) membrane. HFFO membrane was subjected to various fouling conditions using different brackish groundwater qualities and model organic foulants such as alginate, humic acid and bovine serum albumin. Results indicated that physical cleaning affects differently the flux restoration according to the type of foulants (i.e. inorganic or organic) and the crossflow rates play an important role in membrane cleaning in both membrane orientation. The higher cross flow Re values at any particular area seem important for the cleaning. With hydraulic flushing, the flux performances of HFFO were recovered fully when operated in AL-FS orientation, as high shear force helps to detach all scaling layers from the surface; however, the lower shear force did not fully restore the flux for the FS membrane in AL-DS orientation. Chemical cleaning was planned for the fouled HFFO membrane, and HCl and NaOH were used in various combination sequences. It was found that HCl did not clean the membrane used for AL-DS orientation for combined fouling. HCl cleaning (at pH 2) was found to be more effective for removing inorganic scale, whereas NaOH cleaning (at pH 11) for a similar period successfully restored the flux for all the membranes used for FS with inorganic and/or organic foulants. ethylenediamine tetra acetic acid (EDTA) was also evaluated for its cleaning performances and it was found that compared to NaOH, EDTA cleaning (1 mM con...
Majeed, T, Phuntsho, S, Jeong, S, Zhao, Y, Gao, B & Shon, HK 2016, 'Understanding the risk of scaling and fouling in hollow fiber forward osmosis membrane application', Process Safety and Environmental Protection, vol. 104, pp. 452-464.
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© 2016 Institution of Chemical Engineers Fouling studies of forward osmosis (FO) were mostly conducted based on fouling evaluation principals applied to pressure membrane processes such as reverse osmosis (RO)/nanofiltration (NF)/microfiltration (MF)/ultrafiltration (UF). For RO/NF/MF/UF processes, the single flux driving force (hydraulic pressure) remains constant, thus the fouling effect is easily evaluated by comparing flux data with the baseline. Whilst, the scenario of fouling effects for FO process is entirely different from RO/NF/MF/UF processes. Continuously changing driving force (osmotic pressure difference), the changes in concentration polarization associated with the varying draw solution/feed solution concentration and the fouling layer effects collectively influence the FO flux. Thus, usual comparison of the FO flux outcome with the baseline results cannot exactly indicate the real affect of membrane fouling, rather presents a misleading cumulative effect. This study compares the existing FO fouling technique with an alternate fouling evaluation approach using two FO set-ups. Scaling and fouling risk for hollow fiber FO was separately investigated using synthetic water samples and model organic foulants as alginate, humic acid and bovine serum albumin. Results indicated that FO flux declines up to 5% and 49% in active layer-feed solution and active layer-draw solution orientations respectively.
Makki Alamdari, M, Samali, B, Li, J, Kalhori, H & Mustapha, S 2016, 'Spectral-Based Damage Identification in Structures under Ambient Vibration', Journal of Computing in Civil Engineering, vol. 30, no. 4, pp. 04015062-04015062.
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Malomo, L, Pietroni, N, Bickel, B & Cignoni, P 2016, 'FlexMolds: automatic design of flexible shells for molding.', ACM Trans. Graph., vol. 35, pp. 223:1-223:1.
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Marjanovic, O 2016, 'Using Collaborative Visual Analytics for Innovative Industry-inspired Learning Activities.', CoRR, vol. abs/1606.01427.
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Inspired by leading industry practices, this paper describes an innovative learning activity designed to combine data visualisation and cross-functional collaboration supported by enterprise social media. The activity is structured around sharing, co-creation and negotiation of departmental/disciplinary insights across data silos, using both internal and external data. In addition to giving students access to state-of-the-art tools for visualisation (SAS-VA) and collaboration (Yammer), an even more important educational objective is to expose students to the complexities of deriving information (i.e. meaning) from enterprise-wide (meaning-free) data stored by business intelligence & analytics systems. This human-driven and human-centric process of making sense of data in context requires collaboration across functional silos, especially when dealing with complex multi-disciplinary challenges. Starting from an industry-informed business scenario, the paper describes the main steps of an innovative data visualisation and collaboration activity, discusses possible alternative software platforms and offers some ideas for the future work.
Marjanovic, O & Murthy, V 2016, 'From product-centric to customer-centric services in a financial institution - exploring the organizational challenges of the transition process', INFORMATION SYSTEMS FRONTIERS, vol. 18, no. 3, pp. 479-497.
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Masjuki, HH, Ruhul, AM, Mustafi, NN, Kalam, MA, Arbab, MI & Rizwanul Fattah, IM 2016, 'Study of production optimization and effect of hydroxyl gas on a CI engine performance and emission fueled with biodiesel blends', International Journal of Hydrogen Energy, vol. 41, no. 33, pp. 14519-14528.
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Depletion and environmental impacts of the fossil fuel are the major concerns to think about the alternative energy sources to reduce the load on petroleum fuel. Researchers worldwide are working years to improve the biodiesel fuel economy and emission characteristic. At the same time, they are working on fuel development so that can be used in the IC engine without significant modification in vehicle design. Among different alternative fuels biodiesel as well as hydroxyl gas (HHO, also known as Oxyhydrogen gas) are renewable, recyclable and non-polluting fuel. In this study, HHO gas has been introduced with ordinary diesel (OD) and 20% (v/v) palm biodiesel blended with OD (PB20) for evaluating the engine performance and emission characteristics. Optimum yield of HHO was found using single anode and two cathodes from a solution containing 1% KOH and 100 ml of water producing 2150 cc of HHO gas when electrolysis was carried out for 15 min. Using the HHO generator, about 2% more power and 5% less consumption was observed for biodiesel blended fuel in a single cylinder CI engine at full load variable speed operating conditions. Besides, on an average 20% and 10% reduction of CO and HC emission were observed respectively.
Mathieson, L 2016, 'Synergies in critical reflective practice and science: Science as reflection and reflection as science', Journal of University Teaching and Learning Practice, vol. 13, no. 2, pp. 1-13.
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The conceptions of reflective practice in education have their roots at least partly in the work of Dewey, who describes reflection as “the active, persistent, and careful consideration of any belief or supposed form of knowledge in the light of the grounds that support it and the further conclusions to which it tends” (Dewey 1933, p.9). This conception of reflection has carried on into more-focused efforts to describe critical reflection as a tool for improving professional practice (where academic and educational practice is the particular interest of this study); “… some puzzling or troubling or interesting phenomenon” allows the practitioner to access “the understandings which have been implicit in his action, understandings which he surfaces, criticizes, restructures, and embodies in further action” (Schön 1983, p. 50). Both of these descriptions embody a central idea of critical reflective practice: that the examination of practice involves the divination (in a rational, critical sense) of order and perhaps meaning from the facts at hand (which, in turn, are brought to light by the events that occur as the results of implementation of theory). As part of a lecture series, Gottlieb defined science as “an intellectual activity carried out by humans to understand the structure and functions of the world in which they live” (Gottlieb 1997). While science and critical reflective practice attempt to build models about different parts of our world – the natural world and the world of professional (educational) practice respectively – both embody certain underlying aims and methodologies. Indeed, it is striking that in these definitions the simple replacement of the terminology of reflective practice with the terminology of science (or vice versa) leads to a perfectly comprehensible definition of either.It is this confluence that this paper studies, building from two separate foundations, critical reflective practice and science. Via their models and exem...
McGahan, WT, Ernst, H & Dyson, LE 2016, 'Individual Learning Strategies and Choice in Student-Generated Multimedia', International Journal of Mobile and Blended Learning, vol. 8, no. 3, pp. 1-18.
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There has been an increasing focus on student-generated multimedia assessment as a way of introducing the benefits of both visual literacy and peer-mediated learning into university courses. One such assessment was offered to first-year health science students but, contrary to expectations, led to poorer performance in their end-of-semester examinations. Following an analysis, the assignment was redesigned to offer students a choice of either a group-based animation task or an individual written task. Results showed improved performance on the assignment when students were offered a choice of assignments over when they were offered only the multimedia assignment. Student feedback indicated that students adopt deliberate individual learning strategies when offered choices in assessment. The study suggests that assumptions regarding the superiority of student-generated multimedia over more traditional assessments are not always correct, but that students' agency and individual preferences need to be recognized.
McKenzie, TG, Costa, LPDM, Fu, Q, Dunstan, DE & Qiao, GG 2016, 'Investigation into the photolytic stability of RAFT agents and the implications for photopolymerization reactions', Polymer Chemistry, vol. 7, no. 25, pp. 4246-4253.
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The photolytic stability of RAFT agents under blue LED irradiation has been investigated with regard to photopolymerization reactions.
McKenzie, TG, Fu, Q, Uchiyama, M, Satoh, K, Xu, J, Boyer, C, Kamigaito, M & Qiao, GG 2016, 'Beyond Traditional RAFT: Alternative Activation of Thiocarbonylthio Compounds for Controlled Polymerization', Advanced Science, vol. 3, no. 9, pp. 1500394-1500394.
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Recent developments in polymerization reactions utilizing thiocarbonylthio compounds have highlighted the surprising versatility of these unique molecules. The increasing popularity of reversible addition–fragmentation chain transfer (RAFT) radical polymerization as a means of producing well‐defined, ‘controlled’ synthetic polymers is largely due to its simplicity of implementation and the availability of a wide range of compatible reagents. However, novel modes of thiocarbonylthio activation can expand the technique beyond the traditional system (i.e., employing a free radical initiator) pushing the applicability and use of thiocarbonylthio compounds even further than previously assumed. The primary advances seen in recent years are a revival in the direct photoactivation of thiocarbonylthio compounds, their activation via photoredox catalysis, and their use in cationic polymerizations. These synthetic approaches and their implications for the synthesis of controlled polymers represent a significant advance in polymer science, with potentially unforeseen benefits and possibilities for further developments still ahead. This Research News aims to highlight key works in this area while also clarifying the differences and similarities of each system.
McKenzie, TG, Fu, Q, Uchiyama, M, Satoh, K, Xu, J, Boyer, C, Kamigaito, M & Qiao, GG 2016, 'Controlled Polymerization: Beyond Traditional RAFT: Alternative Activation of Thiocarbonylthio Compounds for Controlled Polymerization (Adv. Sci. 9/2016)', Advanced Science, vol. 3, no. 9.
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Merenda, A, Ligneris, ED, Sears, K, Chaffraix, T, Magniez, K, Cornu, D, Schütz, JA & Dumée, LF 2016, 'Assessing the temporal stability of surface functional groups introduced by plasma treatments on the outer shells of carbon nanotubes', Scientific Reports, vol. 6, no. 1, p. 31565.
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AbstractPlasma treatments are emerging as superior efficiency treatment for high surface to volume ratio materials to tune functional group densities and alter crystallinity due to their ability to interact with matter at the nanoscale. The purpose of this study is to assess for the first time the long term stability of surface functional groups introduced across the surface of carbon nanotube materials for a series of oxidative, reductive and neutral plasma treatment conditions. Both plasma duration dose matrix based exposures and time decay experiments, whereby the surface energy of the materials was evaluated periodically over a one-month period, were carried out. Although only few morphological changes across the graphitic planes of the carbon nanotubes were found under the uniform plasma treatment conditions, the time dependence of pertinent work functions, supported by Raman analysis, suggested that the density of polar groups decreased non-linearly over time prior to reaching saturation from 7 days post treatment. This work provides critical considerations on the understanding of the stability of functional groups introduced across high specific surface area nano-materials used for the design of nano-composites, adsorptive or separation systems, or sensing materials and where interfacial interactions are key to the final materials performance.
Merigó, JM & Núñez, A 2016, 'Influential journals in health research: a bibliometric study', Globalization and Health, vol. 12, no. 1, p. 46.
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Background
There is a wide range of intellectual work written about health research, which has been shaped by the evolution of diseases. This study aims to identify the leading journals over the last 25 years (1990-2014) according to a wide range of bibliometric indicators.
Methods
The study develops a bibliometric overview of all the journals that are currently indexed in Web of Science (WoS) database in any of the four categories connected to health research. The work classifies health research in nine subfields: Public Health, Environmental and Occupational Health, Health Management and Economics, Health Promotion and Health Behavior, Epidemiology, Health Policy and Services, Medicine, Health Informatics, Engineering and Technology, and Primary Care.
Results
The results indicate a wide dispersion between categories being the American Journal of Epidemiology, Environmental Health Perspectives, American Journal of Public Health, and Social Science & Medicine, the journals that have received the highest number of citations over the last 25 years. According to other indicators such as the h-index and the citations per paper, some other journals such as the Annual Review of Public Health and Medical Care, obtain better results which show the wide diversity and profiles of outlets available in the scientific community. The results are grouped and studied according to the nine subfields in order to identify the leading journals in each specific sub discipline of health.
Conclusions
The work identifies the leading journals in health research through a bibliometric approach. The analysis shows a deep overview of the results of health journals. It is worth noting that many journals have entered the WoS database during the last years, in many cases to fill some specific niche that has emerged in the literature, although the most popular ones have been in the database for a long time.
Merigó, JM, Cancino, CA, Coronado, F & Urbano, D 2016, 'Academic research in innovation: a country analysis', Scientometrics, vol. 108, no. 2, pp. 559-593.
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Merigó, JM, Gil-Lafuente, AM & Gil-Lafuente, J 2016, 'Business, industrial marketing and uncertainty', Journal of Business & Industrial Marketing, vol. 31, no. 3, pp. 325-327.
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PurposeThis special issue of the Journal of Business & Industrial Marketing, entitled “Business, Industrial Marketing and Uncertainty”, presents selected extended studies that were presented at the European Academy of Management and Business Economics Conference (AEDEM 2012).Design/methodology/approachThe main focus of this year was reflected in the slogan: “Creating new opportunities in an uncertain environment”. The objective was to show the importance that uncertainty has in our current world, strongly affected by many complexities and modern developments, especially through the new technological advances.FindingsOne fundamental reason that explains the economic crisis is that the government and companies were not well prepared for these critical situations. And the main justification for this is that they did not have enough information. Otherwise, they would have tried any possible strategy to avoid the crisis. Usually, uncertainty is defined as the situation with unknown information in the environment.Originality/valueFrom a theoretical perspective, the problem here is that enterprises and governments should assess the information and the uncertainty in a more appropriate way. Usually, they have some studies in this direction, but many times, it is not enough, as it was proved in the last economic crisis.
Merigó, JM, Palacios-Marqués, D & Ribeiro-Navarrete, B 2016, 'Corrigendum to “Aggregation systems for sales forecasting” [J. Bus. Res. 68(11) (2015) 2299–2304]', Journal of Business Research, vol. 69, no. 6, pp. 2325-2325.
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Merigó, JM, Palacios-Marqués, D & Zeng, S 2016, 'Subjective and objective information in linguistic multi-criteria group decision making', European Journal of Operational Research, vol. 248, no. 2, pp. 522-531.
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Linguistic decision making systems represent situations that cannot be assessed with numerical information but it is possible to use linguistic variables. This paper introduces new linguistic aggregation operators in order to develop more efficient decision making systems. The linguistic probabilistic weighted average (LPWA) is presented. Its main advantage is that it considers subjective and objective information in the same formulation and considering the degree of importance that each concept has in the aggregation. A key feature of the LPWA operator is that it considers a wide range of linguistic aggregation operators including the linguistic weighted average, the linguistic probabilistic aggregation and the linguistic average. Further generalizations are presented by using quasi-arithmetic means and moving averages. An application in linguistic multi-criteria group decision making under subjective and objective risk is also presented in the context of the European Union law.
Merigó, JM, Peris-Ortíz, M, Navarro-García, A & Rueda-Armengot, C 2016, 'Aggregation operators in economic growth analysis and entrepreneurial group decision-making', Applied Soft Computing, vol. 47, pp. 141-150.
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© 2016 Elsevier B.V. All rights reserved. An economic crisis can be measured from different perspectives. A very commonly used measure is that of a country's economic growth. When growth is lower than desired, the economy is assumed to be near stagnation or in an economic recession. This paper connects entrepreneurship and economic growth in decision-making problems assessed with modern aggregation systems. Aggregation techniques can represent information more comprehensively in uncertain and imprecise environments. This paper suggests several practical aggregation operators for this purpose, such as the ordered weighted average and the probabilistic ordered weighted averaging weighted average. Other aggregation systems based on macroeconomic theory are also introduced. The paper concludes with an application in an entrepreneurial uncertain multi-criteria multi-person decision-making problem regarding the selection of optimal markets for creating a new company. This approach is based on the use of economic growth as the fundamental variable for determining the preferred solution.
MERIGÓ, JM, ROCAFORT, A & AZNAR-ALARCÓN, JP 2016, 'BIBLIOMETRIC OVERVIEW OF BUSINESS & ECONOMICS RESEARCH', Journal of Business Economics and Management, vol. 17, no. 3, pp. 397-413.
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Bibliometrics is the quantitative study of bibliographic information. It classifies the information according to different criteria including authors, journals, institutions and countries. This paper presents a general bibliometric overview of the most influential research in business & economics according to the information found in the Web of Science. It includes research from different subcategories including business, business finance, economics and management. For doing so, four general lists are presented: the 50 most cited papers in business & economics of all time, the 40 most influential journals, the 40 most relevant institutions and the most influential countries. The results permit to obtain a general picture of the most significant research in business & economics. This information is very useful in order to identify the leading trends in this area.
Merigó, JM, Yang, J-B & Xu, D-L 2016, 'Demand Analysis with Aggregation Systems', International Journal of Intelligent Systems, vol. 31, no. 5, pp. 425-443.
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Mesgari, S, Taylor, RA, Hjerrild, NE, Crisostomo, F, Li, Q & Scott, J 2016, 'An investigation of thermal stability of carbon nanofluids for solar thermal applications', Solar Energy Materials and Solar Cells, vol. 157, pp. 652-659.
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Carbon nanofluids are engineered materials with controllable thermal and optical properties. Stable, high temperature operation (>20) of these fluids would enable them to improve upon – and eventually replace – pure fluids in many important commercial and industrial applications including applications in solar thermal collectors. To date, however, much of the nanofluids research focuses on low temperature (<100 °C) applications and testing. For solar thermal collector applications, carbon nanofluids are uniquely well-suited due to their high absorptivity over the entire solar spectral range. This study pushes well beyond the 100 °C mark by conducting a range of experiments to identify appropriate base fluids and functionalization methods to produce stable carbon nanotube (CNT)-based nanofluid dispersions at temperatures of up to 250 °C to ensure their suitability for industrial heating applications (typically 100–250 °C). Different forms of CNTs including, single-walled carbon nanotubes, double-walled carbon nanotubes and multi-walled carbon nanotubes were chemically functionalized to obtain stable dispersions in water, glycol and Therminol (a synthetic heat transfer oil). The stability of chemically functionalized carbon nanotube dispersions at different temperatures, 20, 80, 100, 150, 200 and 250 °C, was investigated. The results of broadband UV–VIS–NIR spectroscopy showed no agglomeration in mildly oxidized multi-walled carbon nanotubes dispersed in Therminol when heated to 250 °C, highlighting this low-cost composite medium as a potential candidate for use in high temperature nanofluid-based solar thermal collectors.
Meter, RV & Devitt, SJ 2016, 'Local and Distributed Quantum Computation', IEEE Computer 49(9), 31-42, Sept. 2016, vol. 49, no. 9, pp. 31-42.
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Experimental groups are now fabricating quantum processors powerful enough toexecute small instances of quantum algorithms and definitively demonstratequantum error correction that extends the lifetime of quantum data, addingurgency to architectural investigations. Although other options continue to beexplored, effort is coalescing around topological coding models as the mostpractical implementation option for error correction on realizablemicroarchitectures. Scalability concerns have also motivated architects topropose distributed memory multicomputer architectures, with experimentalefforts demonstrating some of the basic building blocks to make such designspossible. We compile the latest results from a variety of different systemsaiming at the construction of a scalable quantum computer.
Metia, S, Oduro, SD, Duc, HN & Ha, Q 2016, 'Inverse Air-Pollutant Emission and Prediction Using Extended Fractional Kalman Filtering', IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, vol. 9, no. 5, pp. 2051-2063.
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© 2016 IEEE. It is essential to maintain air-quality standards and to take necessary measures when air-pollutant concentrations exceed permissible limits. Pollutants such as ground-level ozone (O3), nitrogen oxides (NOX), and volatile organic compounds (VOCs) emitted from various sources can be estimated at a particular location through integration of observation data obtained from measurement sites and effective air-quality models, using emission inventory data as input. However, there are always uncertainties associated with the emission inventory data as well as uncertainties generated by a meteorological model. This paper addresses the problem of improving the inverse air pollution emission and prediction over the urban and suburban areas using the air-pollution model with chemical transport model (TAPM-CTM) coupled with the extended fractional Kalman filter (EFKF) based on a Matérn covariance function. Here, nitrogen oxide (NO), nitrogen dioxide (NO2), and O3 concentrations are predicted by TAPM-CTM in the airshed of Sydney and surrounding areas. For improvement of the emission inventory, and hence the air-quality prediction, the fractional order of the EFKF is tuned using a genetic algorithm (GA). The proposed methodology is verified with measurements at monitoring stations and is then applied to obtain a better spatial distribution of O3 over the region.
Milano, J, Ong, HC, Masjuki, HH, Chong, WT, Lam, MK, Loh, PK & Vellayan, V 2016, 'Microalgae biofuels as an alternative to fossil fuel for power generation', Renewable and Sustainable Energy Reviews, vol. 58, pp. 180-197.
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Mirmomeni, M, Heidarpour, A, Zhao, X-L, Hutchinson, CR, Packer, JA & Wu, C 2016, 'Fracture behaviour and microstructural evolution of structural mild steel under the multi-hazard loading of high-strain-rate load followed by elevated temperature', Construction and Building Materials, vol. 122, pp. 760-771.
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Mishra, N, Boeckl, J, Motta, N & Iacopi, F 2016, 'Graphene growth on silicon carbide: A review', physica status solidi (a), vol. 213, no. 9, pp. 2277-2289.
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Graphene has been widely heralded over the last decade as one of the most promising nanomaterials for integrated, miniaturized applications spanning from nanoelectronics, interconnections, thermal management, sensing, to optoelectronics. Graphene grown on silicon carbide is currently the most likely candidate to fulfill this promise. As a matter of fact, the capability to synthesize high‐quality graphene over large areas using processes and substrates compatible as much as possible with the well‐established semiconductor manufacturing technologies is one crucial requirement. We review here, the enormous scientific and technological advances achieved in terms of epitaxial growth of graphene from thermal decomposition of bulk silicon carbide and the fine control of the graphene electronic properties through intercalation. Finally, we discuss perspectives on epitaxial graphene growth from silicon carbide on silicon, a particularly challenging area that could result in maximum benefit for the integration of graphene with silicon technologies.
Mishra, N, Boeckl, J, Motta, N & Iacopi, F 2016, 'Graphene growth on silicon carbide: A review (Phys. Status Solidi A 9∕2016)', physica status solidi (a), vol. 213, no. 9, pp. 2269-2269.
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Mofijur, M, Rasul, MG, Hyde, J, Azad, AK, Mamat, R & Bhuiya, MMK 2016, 'Role of biofuel and their binary (diesel–biodiesel) and ternary (ethanol–biodiesel–diesel) blends on internal combustion engines emission reduction', Renewable and Sustainable Energy Reviews, vol. 53, pp. 265-278.
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Exhaust emission from transportation sector affects the human health. It is the main contributor to degrade the air quality. Biofuel is promising alternative to maintain both human health and environment quality better by reducing harmful emission from biofuel runs diesel engines. This study explores the global and Australian greenhouse gas (GHG) emission scenario along with the contribution of transportation sector to the GHG emission in Australia. Besides, the world biofuel standard with the target and mandate taken by the government of different countries to use biofuel are also discussed in the paper. This review indicated that engine emission is dependant on some factors such as engine operating condition, biofuel types, blending etc. Both biodiesel-diesel and ethanol-biodiesel-diesel blending plays a significant role in reducing the exhaust gas emission such as carbon monoxides (CO), hydrocarbons (HC), particulate matter (PM). But ethanol-biodiesel-diesel and biodiesel-diesel blends produce higher carbon dioxides emission, which is absorbed by the crops and considered as lower net CO2 emission. Finally, about 5-10% of ethanol with 20-25% biodiesel can be added with petro-diesel effectively and efficiently to reduce global GHG emission, thus to maintain environment and human health better.
Mohammadi, MS, Zhang, Q & Dutkiewicz, E 2016, 'Reading Damaged Scripts: Partial Packet Recovery Based on Compressive Sensing for Efficient Random Linear Coded Transmission', IEEE Transactions on Communications, vol. 64, no. 8, pp. 3296-3310.
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© 2016 IEEE.Random linear coding (RLC) can improve the performance of multicast transmissions in terms of throughput and energy efficiency. However, RLC and linear codes in general cannot necessarily attain the optimal performance in arbitrary networks. In this regard, partial packet recovery can be considered as a nonlinear strategy to complement such approaches for more general networks. In this paper, we propose a partial packet recovery scheme that benefits from the sparsity of bit errors in partially corrupted RLC packets. As opposed to many previous schemes, it performs without introducing preliminary checksums or preambles, demanding physical layer soft information, or requesting post-redundancy from the transmitter. It relies only on algebraic coding and data processing techniques, the existing knowledge at the receiver, and the conventional acknowledgment messages in RLC. By reconstructing and utilizing the partially corrupted packets that are usually discarded, it can reduce the average number of transmitted RLC packets required for successful decoding by typically 50%, which improves throughput and energy efficiency at the transmitter. We formulate our partial packet recovery in the form of a sparse recovery problem, present its different solutions using compressive sensing theory, discuss their complexity, and present and evaluate a Markov chain model for its performance.
Mohammed Oludare, I & Pradhan, B 2016, 'A decade of modern cave surveying with terrestrial laser scanning: A review of sensors, method and application development', International Journal of Speleology, vol. 45, no. 1, pp. 71-88.
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Mojumder, JC, Chong, WT, Ong, HC, Leong, KY & Abdullah-Al-Mamoon 2016, 'An experimental investigation on performance analysis of air type photovoltaic thermal collector system integrated with cooling fins design', Energy and Buildings, vol. 130, pp. 272-285.
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Mojumder, JC, Ong, HC, Chong, WT, Shamshirband, S & Abdullah-Al-Mamoon 2016, 'Application of support vector machine for prediction of electrical and thermal performance in PV/T system', Energy and Buildings, vol. 111, pp. 267-277.
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Mojumder, S, Rabbi, KM, Saha, S, Hasan, MN & Saha, SC 2016, 'Magnetic field effect on natural convection and entropy generation in a half-moon shaped cavity with semi-circular bottom heater having different ferrofluid inside', Journal of Magnetism and Magnetic Materials, vol. 407, pp. 412-424.
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In this study magneto-hydrodynamic convection in a half-moon shaped cavity filled with ferrofluid has been analyzed numerically. The cavity has two semi-circular bottom heaters and effect of the distance between these two heaters (λ = 0.1, 0.4) has been thoroughly investigated. Numerical simulation has been carried out for a wide range of Rayleigh number (Ra = 103 ∼ 107), Hartmann number (Ha = 0 ∼ 100) and inclination angle of magnetic field (γ = 0°∼ 90°) to understand the flow field, thermal field and entropy generation respectively. Cobalt-kerosene and Fe3O4 -water ferrofluids are used for the present investigation and considered as a single phase fluid. Galerkin weighted residual method of finite element analysis has been used for numerical solution. The code validation and grid independency test have been carried out to justify the numerical accuracy. It has been observed that increment of magnetic field reduces the heat transfer rate, whereas increment of heater distance augments the heat transfer rate significantly. Results are discussed on the basis of Nusselt number (Nu), Bejan number (Be) and shown by contours and 3D plots. It has also been found that λ = 0.4 always shows better heat transfer rate and entropy optimization.
Mokgonyana, L, Zhang, J, Zhang, L & Xia, X 2016, 'Coordinated two-stage volt/var management in distribution networks', Electric Power Systems Research, vol. 141, pp. 157-164.
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Mols, I, van den Hoven, E & Eggen, B 2016, 'Ritual Camera: Exploring Domestic Technology to Remember Everyday Life', IEEE PERVASIVE COMPUTING, vol. 15, no. 2, pp. 48-58.
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Monirul, IM, Masjuki, HH, Kalam, MA, Mosarof, MH, Zulkifli, NWM, Teoh, YH & How, HG 2016, 'Assessment of performance, emission and combustion characteristics of palm, jatropha and Calophyllum inophyllum biodiesel blends', Fuel, vol. 181, pp. 985-995.
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Moore, I & Sheng, D 2016, 'Note of appreciation / Note de reconnaissance', Canadian Geotechnical Journal, vol. 53, no. 12, pp. v-vii.
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Mosarof, MH, Kalam, MA, Masjuki, HH & Ashraful, AM 2016, 'Evaluation of Lubricating Performance of Biodegradable Moringa Oleifera Oil', Modern Environmental Science and Engineering, vol. 2, no. 08, pp. 530-536.
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Mosarof, MH, Kalam, MA, Masjuki, HH, Alabdulkarem, A, Ashraful, AM, Arslan, A, Rashedul, HK & Monirul, IM 2016, 'Optimization of performance, emission, friction and wear characteristics of palm and Calophyllum inophyllum biodiesel blends', Energy Conversion and Management, vol. 118, pp. 119-134.
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A running automobile engine produces more friction and wear between its sliding components than an idle one, and thus requires lubrication to reduce this frictional effect. Biodiesel is an alternative diesel fuel that is produced from renewable resources. Energy studies conducted over the last two decades focused on solutions to problems of rising fossil fuel price, increasing dependency on foreign energy sources, and worsening environmental concerns. Palm oil biodiesel is mostly used in Malaysia. This study conducted engine performance and emission tests with a single-cylinder diesel engine fueled with palm and Calophyllum inophyllum biodiesel blends (PB10, PB20, PB30, CIB10, CIB20, and CIB30) at a full-load engine speed range of 1000-2400 rpm, and then compared the results with those of diesel fuel. Friction and wear tests were conducted using the four-ball tester with different temperatures at 40 and 80 kg load conditions and a constant speed of 1800 rpm. The average brake specific fuel consumption increased from 7.96% to 10.15% while operating on 10%, 20%, and 30% blends of palm and C. inophyllum biodiesel. The respective average brake powers for PB20 and PB30 were 9.31% and 12.93% lower compared with that for diesel fuel. PB20 produced relatively lower CO and HC emissions than the diesel and biodiesel blends. Diesel produced low amounts of NOX emission, and the CIB blend produced a lower frictional coefficient compared with the diesel and PB blends. PB30 showed high average FTP and low average WSD, both of which enhanced lubricating performance. An average metal element composition was found in PB20 under the 40 and 80 kg load conditions. PB20 showed lower worn scar surface areas compared with the diesel and biodiesel blends. Results indicated that PB20 has better engine performance, lower emission, and good lubrication properties compared with diesel and biodiesel blends. Thus, PB20 is suitable for use in diesel engines without the need for any en...
Mosarof, MH, Kalam, MA, Masjuki, HH, Alabdulkarem, A, Habibullah, M, Arslan, A & Monirul, IM 2016, 'Assessment of friction and wear characteristics of Calophyllum inophyllum and palm biodiesel', Industrial Crops and Products, vol. 83, pp. 470-483.
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Motes, KR, Mann, RL, Olson, JP, Studer, NM, Bergeron, EA, Gilchrist, A, Dowling, JP, Berry, DW & Rohde, PP 2016, 'Efficient recycling strategies for preparing large Fock states from single-photon sources --- Applications to quantum metrology', Phys. Rev. A, vol. 94, no. 1, p. 012344.
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Fock states are a fundamental resource for many quantum technologies such asquantum metrology. While much progress has been made in single-photon sourcetechnologies, preparing Fock states with large photon number remainschallenging. We present and analyze a bootstrapped approach fornon-deterministically preparing large photon-number Fock states by iterativelyfusing smaller Fock states on a beamsplitter. We show that by employing staterecycling we are able to exponentially improve the preparation rate overconventional schemes, allowing the efficient preparation of large Fock states.The scheme requires single-photon sources, beamsplitters, number-resolvedphoto-detectors, fast-feedforward, and an optical quantum memory.
Mousavi, M & Gandomi, AH 2016, 'A hybrid damage detection method using dynamic-reduction transformation matrix and modal force error', Engineering Structures, vol. 111, pp. 425-434.
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Movassaghi, S, Majidi, A, Jamalipour, A, Smith, D & Abolhasan, M 2016, 'Enabling interference-aware and energy-efficient coexistence of multiple wireless body area networks with unknown dynamics', IEEE Access, vol. 4, pp. 2935-2951.
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© 2016 IEEE. This paper presents an adaptive interference mitigation scheme for multiple coexisting wireless body area networks (WBANs) based on social interaction. The proposed scheme considers the mobility of nodes within each WBAN as well as the relative movement of WBANs with respect to each other. With respect to these mobile scenarios traffic load, signal strength, and the density of sensors in a WBAN are incorporated to optimize transmission time with synchronous and parallel transmissions to significantly reduce the radio interference and energy consumption of nodes. This approach leads to higher packet delivery ratio (PDR) and longer network lifetime even with nodes dynamically moving into and out of each others interference region. We make channel assignment more energy-efficient and further reduce power consumption using transmit power control with simple channel prediction. Simulation results show that our approach maintains optimum spatial reuse with a range of channel dynamics within, and between, coexisting BANs. This protocol based on social interaction is shown to mitigate interference and minimize power consumption, and increase the spatial reuse and PDR of each WBAN, while increasing network lifetime. In the context of the adaptive interference mitigation scheme proposed, this paper also reviews the state of the art in literature on mobility, MAC layer, and power control solutions for WBANs, as well as providing a summary of interference mitigation schemes previously applied for the coexistence of WBANs.
Moyle, W, Jones, C, Sung, B, Bramble, M, O’Dwyer, S, Blumenstein, M & Estivill-Castro, V 2016, 'What Effect Does an Animal Robot Called CuDDler Have on the Engagement and Emotional Response of Older People with Dementia? A Pilot Feasibility Study', International Journal of Social Robotics, vol. 8, no. 1, pp. 145-156.
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© 2015, Springer Science+Business Media Dordrecht. The development of companion animal robots is of growing interest. These robots have recently been marketed to older adults with dementia as a means of encouraging social engagement and reducing behavioural and psychological symptoms of dementia. This paper outlines the results of a pilot study that sought to assess the feasibility and effect of using a robotic companion animal called CuDDler on engagement and emotional states of five older adults with dementia living in nursing home care. CuDDler is a prototype robot developed in Singapore. Despite their cognitive decline, the study participants raised a number of concerns regarding the feasibility and tolerability of CuDDler. The effectiveness of CuDDler was also limited in these participants, although one participant with visual agnosia benefited greatly from the one-on-one experience. The findings demonstrate the importance of companion robots being developed that are of an appropriate size, weight and shape for older people, including those with dementia, and a realistic animal shape that does not encourage thoughts of it being a toy. Our conclusions indicate the need for further studies on the development and use of companion robots, and investigation of the comparative benefits of social robots both compared to and in association with human interactions.
Mueller, J & Stewart, MG 2016, 'The curse of the Black Swan', Journal of Risk Research, vol. 19, no. 10, pp. 1319-1330.
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When unexpected and emotion-engaging events become Black Swans and carry an ‘extreme impact,’ this derives not so much those qualities or from their intrinsic size or importance as from reaction, or overreaction, they generate; but one that is often as extreme and unpredictable as the event itself. Most consequential development in human history, however, stems not from such events, but from changes in thinking and behavior that are gradual and often little-noticed as they occur. In addition, when an unexpected, emotion-grabbing event becomes a Black Swan, the response is likely to become internalized, and getting people to re-evaluate through sensible risk analysis and risk communication is extremely difficult. As part of this, events that are aberrations are often unwisely taken instead to be harbingers – and continue to be so even in the face of repeated disconfirming evidence. An examination of the 9/11 response in the US illustrates these points.
Mueller, P, Huang, C-T, Yu, S, Tari, Z & Lin, Y-D 2016, 'Cloud Security', IEEE Cloud Computing, vol. 3, no. 5, pp. 22-24.
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Murray, A, Castel, A, Gilbert, RI & Chang, Z-T 2016, 'Time-dependent changes in the instantaneous stiffness of reinforced concrete beams', Engineering Structures, vol. 126, pp. 641-651.
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Musa, IA, Mashiri, FR & Zhu, X 2016, 'Fatigue behaviour of concrete-filled steel tubular joints - a review', International Journal of Lifecycle Performance Engineering, vol. 2, no. 1/2, pp. 22-22.
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Mutta, GR, Popuri, SR, Vasundhara, M, Maciejczyk, M, Racu, AV, Banica, R, Robertson, N, Wilson, JIB & Bennett, NS 2016, 'Facile hydrothermal synthesis of economically viable VO 2 (M1) counter electrode for dye sensitized solar cells', Materials Research Bulletin, vol. 83, pp. 135-140.
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In this study, we focus at reducing the fabrication cost of dye sensitized solar cells (DSSCs). Sphere-like VO2(M1) polymorph was synthesized by single step facile hydrothermal approach using citric acid as the reducing agent. Phase purity, charge state and surface morphology of the synthesized product were confirmed by X-ray diffraction, X-ray photoelectron spectroscopy and scanning electron microscopy respectively. The electrochemical impedance and cyclic voltammograms of VO2 films indicated a good electrocatalytic activity towards redox reaction of the I-/I3- shuttle. Owing to the low cost, low-temperature processing and good catalytic activity, in this work we propose to use VO2 as a counter electrode to substitute the expensive platinum electrode in DSSCs. By means of VO2 based DSSCs we achieved a fivefold reduction in the cost to energy conversion efficiency ratio. It is expected that with further optimization, VO2 can be exploited as a good candidate for counter electrode in DSSC technology.
Mutta, GR, Popuri, SR, Wilson, JIB & Bennett, NS 2016, 'Sol-gel spin coated well adhered MoO3 thin films as an alternative counter electrode for dye sensitized solar cells', Solid State Sciences, vol. 61, pp. 84-88.
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In this work, we aim to develop a viable, inexpensive and non-toxic material for counter electrodes in dye sensitized solar cells (DSSCs). We employed an ultra-simple synthesis process to deposit MoO3 thin films at low temperature by sol-gel spin coating technique. These MoO3 films showed good transparency. It is predicted that there will be 150 times reduction of precursors cost by realizing MoO3 thin films as a counter electrode in DSSCs compared to commercial Pt. We achieved a device efficiency of about 20 times higher than that of the previous reported values. In summary we develop a simple low cost preparation of MoO3 films with an easily scaled up process along with good device efficiency. This work encourages the development of novel and relatively new materials and paves the way for massive reduction of industrial costs which is a prime step for commercialization of DSSCs.
Naderpour, M, Lu, J & Zhang, G 2016, 'A safety-critical decision support system evaluation using situation awareness and workload measures', RELIABILITY ENGINEERING & SYSTEM SAFETY, vol. 150, pp. 147-159.
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© 2016 Elsevier Ltd. To ensure the safety of operations in safety-critical systems, it is necessary to maintain operators' situation awareness (SA) at a high level. A situation awareness support system (SASS) has therefore been developed to handle uncertain situations [1]. This paper aims to systematically evaluate the enhancement of SA in SASS by applying a multi-perspective approach. The approach consists of two SA metrics, SAGAT and SART, and one workload metric, NASA-TLX. The first two metrics are used for the direct objective and subjective measurement of SA, while the third is used to estimate operator workload. The approach is applied in a safety-critical environment called residue treater, located at a chemical plant in which a poor human-system interface reduced the operators' SA and caused one of the worst accidents in US history. A counterbalanced within-subjects experiment is performed using a virtual environment interface with and without the support of SASS. The results indicate that SASS improves operators' SA, and specifically has benefits for SA levels 2 and 3. In addition, it is concluded that SASS reduces operator workload, although further investigations in different environments with a larger number of participants have been suggested.
Nagayama, S, Choi, B-S, Devitt, S, Suzuki, S & Van Meter, R 2016, 'Interoperability in encoded quantum repeater networks', Physical Review A, vol. 93, no. 4.
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The future of quantum repeater networking will require interoperability between various error-correcting codes. A few specific code conversions and even a generalized method are known, however, no detailed analysis of these techniques in the context of quantum networking has been performed. In this paper we analyze a generalized procedure to create Bell pairs encoded heterogeneously between two separate codes used often in error-corrected quantum repeater network designs. We begin with a physical Bell pair and then encode each qubit in a different error-correcting code, using entanglement purification to increase the fidelity. We investigate three separate protocols for preparing the purified encoded Bell pair. We calculate the error probability of those schemes between the Steane [[7,1,3]] code, a distance-3 surface code, and single physical qubits by Monte Carlo simulation under a standard Pauli error model and estimate the resource efficiency of the procedures. A local gate error rate of 10-3 allows us to create high-fidelity logical Bell pairs between any of our chosen codes. We find that a postselected model, where any detected parity flips in code stabilizers result in a restart of the protocol, performs the best.
Nagayama, S, Fowler, AG, Horsman, D, Devitt, SJ & Meter, RV 2016, 'Surface Code Error Correction on a Defective Lattice', New Journal of Physics, 19(2):023050, 2017, vol. 19, no. 2, pp. 1-29.
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The yield of physical qubits fabricated in the laboratory is much lower thanthat of classical transistors in production semiconductor fabrication. Actualimplementations of quantum computers will be susceptible to loss in the form ofphysically faulty qubits. Though these physical faults must negatively affectthe computation, we can deal with them by adapting error correction schemes. Inthis paper We have simulated statically placed single-fault lattices andlattices with randomly placed faults at functional qubit yields of 80%, 90% and95%, showing practical performance of a defective surface code by employingactual circuit constructions and realistic errors on every gate, includingidentity gates. We extend Stace et al.'s superplaquettes solution againstdynamic losses for the surface code to handle static losses such as physicallyfaulty qubits. The single-fault analysis shows that a static loss at theperiphery of the lattice has less negative effect than a static loss at thecenter. The randomly-faulty analysis shows that 95% yield is good enough tobuild a large scale quantum computer. The local gate error rate threshold is$\sim 0.3\%$, and a code distance of seven suppresses the residual error ratebelow the original error rate at $p=0.1\%$. 90% yield is also good enough whenwe discard badly fabricated quantum computation chips, while 80% yield does notshow enough error suppression even when discarding 90% of the chips. Weevaluated several metrics for predicting chip performance, and found that theaverage of the product of the number of data qubits and the cycle time of astabilizer measurement of stabilizers gave the strongest correlation withpost-correction residual error rates. Our analysis will help with selectingusable quantum computation chips from among the pool of all fabricated chips.
Naidu, G, Jeong, S, Vigneswaran, S, Hwang, T-M, Choi, Y-J & Kim, S-H 2016, 'A review on fouling of membrane distillation', Desalination and Water Treatment, vol. 57, no. 22, pp. 10052-10076.
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© 2015 Balaban Desalination Publications. All rights reserved. Membrane distillation (MD) has been developed for the past 40 years. Nevertheless, only in recent times, MD technology has shown substantial progress, including the development of a few commercial systems. In this study, a comprehensive review is carried out on the application of MD for the production of drinking water. Based on a broad perspective, this review describes the applications of MD for drinking water production, its advantages, and limitations. Specifically, this review focuses on the scaling and organic fouling phenomena in MD for drinking water production as one of the major challenge to MD implementation. The fouling and wetting phenomena in MD is discussed in detail as well as fouling detection methods, the influence of feed solution characteristics, and operational parameters on MD fouling and related areas requiring future investigations. The study highlights a number of approaches on fouling reduction in MD.
Naidu, G, Jeong, S, Vigneswaran, S, Jang, E-K, Choi, Y-J & Hwang, T-M 2016, 'Fouling study on vacuum-enhanced direct contact membrane distillation for seawater desalination', Desalination and Water Treatment, vol. 57, no. 22, pp. 10042-10051.
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© 2015 Balaban Desalination Publications. All rights reserved. Vacuum-enhanced direct contact membrane distillation (VE-DCMD) has been proposed to improve the DCMD system performance with better effective energy efficiency. However, the higher driving forces by the presence of vacuum pressure at permeate side of the VE-DCMD system could contribute to higher fouling development. In this study, thus, the biochemical fouling development of VE-DCMD with different vacuum pressures (700, 500, and 300 mbar) for seawater desalination was investigated in comparison with DCMD (1,000 mbar of pressure applied). VE-DCMD showed a significant increase in initial permeate flux while its flux decline was faster than DCMD. Low molecular weight (LMW) organics were found to be a dominant organic foulant on DCMD with thermally disaggregated humic substances (HS) to LMW HS-like organics. On the other hand, the presence of vacuum reduced the disaggregation HS to LMW HS-like organics. However, high driving force of VE-DCMD caused higher deposition of organic foulant including the LMW organics as well as HS. It also led to the higher LMW organic contents in permeate. Fluorescence excitation–emission matrix (F-EEM) analysis result showed that fulvic-like organic is a dominant HS foulant in VE-DCMD. Fouling development on membrane was observed using scanning electron microscope, contact angle, and confocal laser scanning microscope.
Naidu, G, Loganathan, P, Jeong, S, Johir, MAH, To, VHP, Kandasamy, J & Vigneswaran, S 2016, 'Rubidium extraction using an organic polymer encapsulated potassium copper hexacyanoferrate sorbent', CHEMICAL ENGINEERING JOURNAL, vol. 306, pp. 31-42.
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© 2016 Elsevier B.V. Sea water reverse osmosis (SWRO) brine contains significant quantity of Rb. As an economically valuable metal, extracting Rb using a suitable and selective extraction method would be beneficial. An inorganic sorbent, copper based potassium hexacyanoferrate (KCuFC), exhibited high selectivity to extract Rb compared to potassium hexacyanoferrate consisting of other transition metal combinations such as Ni, Co and Fe. An organic polymer (polyacrylonitrile, PAN) encapsulated KCuFC (KCuFC-PAN) achieved a Langmuir maximum Rb sorption capacity of 1.23 mmol/g at pH 7.0 ± 0.5. KCuFC-PAN showed Rb selectivity over a wide concentration range of co-existing ions and salinity of SWRO brine. High salinity (0.5–2.5 M NaCl) resulted in 12–30% sorption capacity reduction. At a molar ratio of Li:Rb (21:1), Cs:Rb (0.001:1) and Ca:Rb (14,700:1) commonly found in SWRO brine, sorption reduction of only 18% occurred. Nevertheless, at a very high K:Rb molar ratio (7700:1), KCuFC-PAN sorption capacity of Rb reduced significantly by 65–70%. KCuFC-PAN was well suited for column operation. In a fixed-bed KCuFC-PAN column (influent concentration 0.06 mmol Rb/L, flow velocity 2 m/h), two sorption/desorption cycles were successfully achieved with a maximum Rb sorption capacity of 1.01 (closely similar to the batch study) and 0.85 mmol/g in the first and second cycles, respectively. Around 95% of Rb was desorbed from the column with 0.2 M KCl. Resorcinol formaldehyde (RF) resin showed promising results of separating Rb from K/Rb mixed solution in effluents from a fixed-bed column, and a subsequent sequential acid desorption, producing 68% purified Rb.
Naidu, G, Nur, T, Loganathan, P, Kandasamy, J & Vigneswaran, S 2016, 'Selective sorption of rubidium by potassium cobalt hexacyanoferrate', SEPARATION AND PURIFICATION TECHNOLOGY, vol. 163, pp. 238-246.
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© 2016 Elsevier B.V. All rights reserved. Recovering economically valuable rubidium (Rb) from natural resources is challenged due to its low concentration and limited selectivity of extracting agents. Equilibrium and kinetic studies were conducted on the sorptive removal of Rb at low concentration (5 mg/L) using a commercial and a laboratory prepared potassium cobalt hexacyanoferrate (KCoFC). These laboratory and commercial KCoFCs exhibited similar characteristics in terms of chemical composition, surface morphology (scanning electron microscopy) and crystal structure (X-ray diffraction peaks). KCoFC exhibited a higher sorption capacity for Rb (Langmuir maximum sorption 96.2 mg/g) and cesium (Cs) (Langmuir maximum sorption 60.6 mg/g) compared to other metals such as lithium (Li), sodium (Na) and calcium (Ca) (sorption capacity < 2 mg/g). KCoFC sorption capacity for Rb was affected only when Cs was present at twice the concentration of Rb, while the influence of other metals (Li, Na, and Ca) was minimal even at high concentrations. High Rb sorption capacity was due to the exchange of Rb for K inside the crystal lattice and strong sorption on the sorbent surface. These were evident from the data on K release during Rb sorption and reduced negative zeta potential at the sorbent surface in the presence of Rb, respectively. Kinetic sorption of Rb was satisfactorily described by the pseudo-second order model with intraparticle diffusion and exchange of Rb with structural K acting as major rate limiting steps. Up to 74% desorption of Rb was achieved with 0.1 M KCl. Overall, the results established the superior selectivity of KCoFC for Rb sorption.
Naik, GR, Al-Timemy, AH & Nguyen, HT 2016, 'Transradial Amputee Gesture Classification Using an Optimal Number of sEMG Sensors: An Approach Using ICA Clustering', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, no. 8, pp. 837-846.
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© 2001-2011 IEEE. Surface electromyography (sEMG)-based pattern recognition studies have been widely used to improve the classification accuracy of upper limb gestures. Information extracted from multiple sensors of the sEMG recording sites can be used as inputs to control powered upper limb prostheses. However, usage of multiple EMG sensors on the prosthetic hand is not practical and makes it difficult for amputees due to electrode shift/movement, and often amputees feel discomfort in wearing sEMG sensor array. Instead, using fewer numbers of sensors would greatly improve the controllability of prosthetic devices and it would add dexterity and flexibility in their operation. In this paper, we propose a novel myoelectric control technique for identification of various gestures using the minimum number of sensors based on independent component analysis (ICA) and Icasso clustering. The proposed method is a model-based approach where a combination of source separation and Icasso clustering was utilized to improve the classification performance of independent finger movements for transradial amputee subjects. Two sEMG sensor combinations were investigated based on the muscle morphology and Icasso clustering and compared to Sequential Forward Selection (SFS) and greedy search algorithm. The performance of the proposed method has been validated with five transradial amputees, which reports a higher classification accuracy (> 95%). The outcome of this study encourages possible extension of the proposed approach to real time prosthetic applications.
Naik, GR, Selvan, SE & Nguyen, HT 2016, 'Single-Channel EMG Classification With Ensemble-Empirical-Mode-Decomposition-Based ICA for Diagnosing Neuromuscular Disorders', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, no. 7, pp. 734-743.
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© 2001-2011 IEEE. An accurate and computationally efficient quantitative analysis of electromyography (EMG) signals plays an inevitable role in the diagnosis of neuromuscular disorders, prosthesis, and several related applications. Since it is often the case that the measured signals are the mixtures of electric potentials that emanate from surrounding muscles (sources), many EMG signal processing approaches rely on linear source separation techniques such as the independent component analysis (ICA). Nevertheless, naive implementations of ICA algorithms do not comply with the task of extracting the underlying sources from a single-channel EMG measurement. In this respect, the present work focuses on a classification method for neuromuscular disorders that deals with the data recorded using a single-channel EMG sensor. The ensemble empirical mode decomposition algorithm decomposes the single-channel EMG signal into a set of noise-canceled intrinsic mode functions, which in turn are separated by the FastICA algorithm. A reduced set of five time domain features extracted from the separated components are classified using the linear discriminant analysis, and the classification results are fine-tuned with a majority voting scheme. The performance of the proposed method has been validated with a clinical EMG database, which reports a higher classification accuracy (98%). The outcome of this study encourages possible extension of this approach to real settings to assist the clinicians in making correct diagnosis of neuromuscular disorders.
Naik, GR, Selvan, SE, Gobbo, M, Acharyya, A & Nguyen, HT 2016, 'Principal Component Analysis Applied to Surface Electromyography: A Comprehensive Review', IEEE Access, vol. 4, pp. 4025-4037.
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© 2016 IEEE. Surface electromyography (sEMG) records muscle activities from the surface of muscles, which offers a wealth of information concerning muscle activation patterns in both research and clinical settings. A key principle underlying sEMG analyses is the decomposition of the signal into a number of motor unit action potentials (MUAPs) that capture most of the relevant features embedded in a low-dimensional space. Toward this, the principal component analysis (PCA) has extensively been sought after, whereby the original sEMG data are translated into low-dimensional MUAP components with a reduced level of redundancy. The objective of this paper is to disseminate the role of PCA in conjunction with the quantitative sEMG analyses. Following the preliminaries on the sEMG methodology and a statement of PCA algorithm, an exhaustive collection of PCA applications related to sEMG data is in order. Alongside the technical challenges associated with the PCA-based sEMG processing, the envisaged research trend is also discussed.
Nam, E, Wong, EHH, Tan, S, Guntari, SN, Fu, Q, Kim, J, Delalat, B, Blencowe, A & Qiao, GG 2016, 'Spatial-controlled nanoengineered films prepared via rapid catalyst induced cross-linking', Polym. Chem., vol. 7, no. 19, pp. 3251-3258.
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A new top-down approach to generate stable nanoscale films via catalyst induced cross-linking (CIC) is demonstrated. Polymers with various compositions and bearing pendent norbornene groups (defined as macrocross-linkers) are initially spin-coated onto substrates to form nanometre-thick films; when the films are brought into contact with a catalyst solution, ring-opening metathesis polymerization (ROMP)-mediated cross-linking efficiently occurs to lock the film into place. CIC provides a new paradigm for the fabrication of stable nanoscale films and provides an alternative to traditional methods that use external stimuli (e.g., heat or light) to trigger film cross-linking. The process requires short cross-linking times (<3 min) to generate covalently bonded and stable nanoscale films. This facile nanoengineering approach allows for the creation of complex multi-layered and multi-compositional patterned films, enables excellent control over film properties such as thickness and swellability, and provides access to nanoscale free-standing polymer sheets. To highlight the versatility of the CIC approach, cross-linked, nanostructured and stratified multi-layered films with tunable film thickness were prepared from norbornene functionalised poly(oligo(ethylene glycol) methacrylate), poly(ethylene glycol) and poly(3-hexylthiophene) macrocross-linkers. CIC proceeds at low catalyst concentrations and allows the catalyst solution to be recycled multiple times, as demonstrated through repetition of 10 individual CIC cycles, making the process economical, scalable and applicable to advanced manufacturing techniques. Furthermore, the technique can be used to produce patterned films through selective exposure of specific regions of the polymer film to the catalyst solution. The CIC approach mediated by ROMP is highly efficient, rapid, robust and versatile, providing new opportunities in film assembly, and complementing existing nanoscale film fabrication methodologies.
Nan, Z, Chen, T, Wang, X & Ni, W 2016, 'Energy-Efficient Transmission Schedule for Delay-Limited Bursty Data Arrivals Under Nonideal Circuit Power Consumption', IEEE Transactions on Vehicular Technology, vol. 65, no. 8, pp. 6588-6600.
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Nasir, AA, Tuan, HD, Ngo, DT, Durrani, S & Kim, DI 2016, 'Path-Following Algorithms for Beamforming and Signal Splitting in RF Energy Harvesting Networks', IEEE Communications Letters, vol. 20, no. 8, pp. 1687-1690.
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Nasrallah, R, Fast, EM, Solaimani, P, Knezevic, K, Eliades, A, Patel, R, Thambyrajah, R, Unnikrishnan, A, Thoms, J, Beck, D, Vink, CS, Smith, A, Wong, J, Shepherd, M, Kent, D, Roychoudhuri, R, Paul, F, Klippert, J, Hammes, A, Willnow, T, Göttgens, B, Dzierzak, E, Zon, LI, Lacaud, G, Kouskoff, V & Pimanda, JE 2016, 'Identification of novel regulators of developmental hematopoiesis using Endoglin regulatory elements as molecular probes', Blood, vol. 128, no. 15, pp. 1928-1939.
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Key PointsENG regulatory elements target hemogenic mesoderm and hemogenic endothelium. Hemogenic progenitors can be enriched using these elements as molecular probes to discover novel regulators of hematopoiesis.
Nasruddin, Idrus Alhamid, M, Daud, Y, Surachman, A, Sugiyono, A, Aditya, HB & Mahlia, TMI 2016, 'Potential of geothermal energy for electricity generation in Indonesia: A review', Renewable and Sustainable Energy Reviews, vol. 53, pp. 733-740.
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Geothermal energy is counted as a type of renewable energy, which means the availability is not affected by the lack of source and the increasing price of fossil oil. Environmental friendly is also one of the advantages of geothermal energy. In general, not all countries have the potential of geothermal energy, only countries traversed by the ring of fire have the geothermal energy resource. As one of the countries that traversed by the world's ring of fire, Indonesia hence holds the geothermal potential, which is indicated by the existing 117 active volcanoes spread across the country. Indonesia's geothermal energy potential is estimated about 40% of the world's geothermal energy potential or about 28,617 MW. However, only about 4.5% is being utilized as electrical energy in the country. The government of Indonesia is continuously putting the effort to increase the capacity of geothermal power plant. It is planned to install more geothermal power plant in Indonesia that amounted up to 9500 MW by 2025.
Navaratnarajah, SK, Indraratna, B & Nimbalkar, S 2016, 'Application of Shock Mats in Rail Track Foundation Subjected to Dynamic Loads', Procedia Engineering, vol. 143, pp. 1108-1119.
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© 2016 The Authors. Published by Elsevier B.V.Rail track substructure (ballast, subballast and subgrade) is the most essential component of the railway system in view of track stability. The ballast is the largest component of the track substructure and it is the key load-bearing stratum packed with rock aggregates underneath and around the sleepers, thereby providing structural support against dynamic stresses caused by moving trains. However under large dynamic stresses exerted by heavy haul and high speed trains, the degradation of track substructure including ballast becomes significant. This in turn affects the track stability and creates frequent maintenance, thus increasing the life cycle cost of the rail network. Therefore, mitigating degradation of the ballast layer is vital in view of track longevity. In recent years, the use of resilient soft pads (shock mats) above the ballast (i.e. Under Sleeper Pad, USP) and below the ballast (i.e. Under Ballast Mat, UBM) has become a common practice. Many countries, including Australia have adopted the use of resilient pads in the rail track foundation. Currently, the studies on resilient mats are mostly limited to the reduction of vibration and noise. There is a lack of proper assessment of the geotechnical behavior of ballast when used along with shock mats. This paper provides an assessment of the triaxial behavior of the track substructure with and without shock mats under dynamic loading condition. A numerical model was developed based on the modified stress-dilatancy approach to capture the stress-strain and volume change behavior of ballast during impact loading. Model predictions are compared with laboratory results. It was found that the shock mats provide significant advantages in terms of reduced particle breakage and enhanced track stability.
Nemoto, K, Trupke, M, Devitt, SJ, Scharfenberger, B, Buczak, K, Schmiedmayer, J & Munro, WJ 2016, 'Photonic Quantum Networks formed from NV− centers', Scientific Reports, vol. 6, no. 1, p. 26284.
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AbstractIn this article we present a simple repeater scheme based on the negatively-charged nitrogen vacancy centre in diamond. Each repeater node is built from modules comprising an optical cavity containing a single NV−, with one nuclear spin from 15N as quantum memory. The module uses only deterministic processes and interactions to achieve high fidelity operations (>99%) and modules are connected by optical fiber. In the repeater node architecture, the processes between modules by photons can be in principle deterministic, however current limitations on optical components lead the processes to be probabilistic but heralded. Our resource-modest repeater architecture contains two modules at each node and the repeater nodes are then connected by entangled photon pairs. We discuss the performance of such a quantum repeater network with modest resources and then incorporate more resource-intense strategies step by step. Our architecture should allow large-scale quantum information networks with existing or near future technology.
Neshat, M & Ahmadi, M 2016, 'Recognising the kind of cloud using a new fuzzy knowledge-based system', International Journal of Reasoning-based Intelligent Systems, vol. 8, no. 3/4, pp. 168-168.
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Neshat, M & Ahmadi, M 2016, 'Recognising the kind of cloud using a new fuzzy knowledge-based system', International Journal of Reasoning-based Intelligent Systems, vol. 8, no. 3/4, pp. 168-168.
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Nowadays, expert systems play a major role in better doing of complex tasks and giving advice to the experts because expertism is a specialised knowledge. Overall, expert systems are used to solve the problems for which there is not an accurate knowledge and a particular algorithm. Understanding the atmospheric phenomena and their role in human life are the most important and affecting issues in human societies. In meteorology, it is important to identify the type of clouds. By monitoring from the Earth's surface (seeing bottom view of the cloud) and using satellites (seeing top view of the cloud), we can identify the variety of clouds. A fuzzy inference system with the specialists' knowledge of meteorology is designed in this paper and its aims are detection of the cloud type through extracting knowledge from satellite images of the cloud upper portions. The used data are extracted from the reputable website of UCI called cloud dataset. This dataset is gathered by Philip Collard in two ranges of IR and VISIBLE. Using the experts' knowledge, this system determines the type of cloud with an accuracy level of 88.25% ± 0.5 and according to experts' opinion; the results are suitable and acceptable.
Neshat, M, Pourahmad, AA & Hasani, MR 2016, 'Designing an Adaptive Neuro Fuzzy Inference System for Prediction of Customers Satisfaction', Journal of Information & Knowledge Management, vol. 15, no. 04, pp. 1650037-1650037.
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Nowadays, in order to succeed in business and presence in the world markets, it is essential to outperform the competitors to get bigger market share. To get customers satisfaction of products is the first stage of success in business. Studying the different factors involved in increasing the level of customer's satisfaction and researching in this field has caused development in several companies. In this paper, an adaptive neuro-fuzzy inference system (ANFIS) and a fuzzy inference system (FIS) are designed for marketing mix model. By using the P4 principle (price, product, place, promotion) and by combining it with the marketing experts' knowledge, good results were achieved using ANFIS. This system as an advisor with high accuracy can reduce the human errors and play a significant role in decision making by corporate managers. The results of two systems were compared and it was seen that ANFIS had a better performance than FIS with mean accuracies of 98.6% and 87.25%, respectively.
Netherton, MD & Stewart, MG 2016, 'Risk-based blast-load modelling: Techniques, models and benefits', International Journal of Protective Structures, vol. 7, no. 3, pp. 430-451.
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There are many deterministic blast-load methods currently in use, such as (1) those for the ready calculation of explosive pressure, impulse and duration; (2) the derivation of explosive safety distances; or (3) the determination of safety hazards (and other consequences) following an explosive’s detonation. In this article, we argue that deterministic blast-loading methods do not fully account for society’s usual acceptance (or rejection) of the risks associated with damage, safety and/or injury as a result of an explosive blast-load. This article details the state of the art of probabilistic blast-load modelling that supports a quantitative calculation of risk, with respect to damage, safety and injury. The probabilistic models draw data from the literature and from our own field trials. The article details the benefits that flow from this form of blast-load characterisation and concludes with a discussion on how probabilistic methods be used to derive cost–benefit advice with respect to any proposed risk mitigation solution.
Neupane, K, Kidd, P, Chalmers, D, Baweja, D & Shrestha, R 2016, 'Investigation on compressive strength development and drying shrinkage of ambient cured powder-activated geopolymer concretes', Australian Journal of Civil Engineering, vol. 14, no. 1, pp. 72-83.
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© 2016 Engineers Australia. Geopolymer is an inorganic polymer binding material, generally formed by the reaction between aluminosilicate materials and alkali activator solution. Previous researches on geopolymer concrete around the world suggested that geopolymer concrete possess superior mechanical and durability properties over ordinary Portland cement (OPC) concrete, such as higher indirect tensile strength and resistance to sulphate attack. Generally, fly ash-based geopolymer concrete was cured in elevated temperature for higher early age strength because of their longer setting time in ambient temperature. Published engineering properties of geopolymer concrete cured at ambient temperature are not abundant. In this research, two types of powder-activated geopolymer binders were used as binding material. A detailed study of compressive strength and drying shrinkage of different grades (40, 50, 65 and 80 MPa) of geopolymer and OPC concrete with different workability levels (normal-workable and super-workable) were carried out. All the concrete specimens were cured at standard laboratory temperature. The compressive strength development of geopolymer concrete in early age was relatively lower than OPC concrete; however, the later age strength was significantly higher. The drying shrinkage of geopolymer concrete was similar to OPC concrete of same grade and complied with Australian Standard 1379; however, it was higher than estimated values from Australian Standard 3600. The drying shrinkage results of this study were higher than drying shrinkage of accelerated cured geopolymer concretes in previous investigations. Super workable concrete exhibited higher drying shrinkage than normal workable concrete of same grade.
Ngo, NT & Indraratna, B 2016, 'Improved Performance of Rail Track Substructure Using Synthetic Inclusions: Experimental and Numerical Investigations', International Journal of Geosynthetics and Ground Engineering, vol. 2, no. 3, p. 24.
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Ballasted rail tracks offer the most important means of transporting bulk freight and passengers in terms of the sheer tonnage of traffic. Ballast is a prominent component of conventional rail infrastructure because it controls the stability and performance of track. Repetitive train loads degrade ballast grains due to breakage and the progressive accumulation of external fines or mud-pumping from the softer subgrade. They decrease the shear strength and drainage capacity of track embankments, while adversely affecting its safety and efficiency as speed restrictions are imposed and track maintenance becomes more frequent. Although synthetic inclusions such as geogrids and rubber mats placed between the ballast and subballast definitely improve track performance, further study is needed before incorporating them into existing design routines catering for future high speed trains and heavier haul trains. This paper presents the very latest knowledge of rail track geomechanics, including several important concepts and topics related to laboratory testing and discrete element modelling approaches to study the load and deformation of ballast improved by rubber mats and synthetic geogrids. This paper focuses on studies carried out at the University of Wollongong on track infrastructure, and includes examples whereby innovation progresses from theory to practice. Discrete element modelling is also used to carry out a micromechanical analysis of the ballast and geogrid interface to provide further insight into ballast subjected to shearing.
Ngo, NT, Indraratna, B & Rujikiatkamjorn, C 2016, 'Modelling geogrid-reinforced railway ballast using the discrete element method', Transportation Geotechnics, vol. 8, pp. 86-102.
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Rail ballast is an unbounded granular material that spreads laterally when subjected to train loading. Railroads can be reinforced by geogrids to reduce lateral movement and to optimize track performance. This paper presents a study of the behaviour of geogrid-reinforced ballast subjected to monotonic and cyclic loading using a large-scale direct shear box and a novel Track Process Simulation Apparatus (TPSA). The shear stress–strain response of fresh and fouled ballast reinforced by geogrid was investigated using large-scale direct shear tests subjected to normal stresses from 15 kPa to 75 kPa, where the levels of fouling varied from 20% to 95% Void Contamination Index (VCI). Cyclic tests for fresh and fouled ballast were conducted using the TPSA to realistically simulate real track conditions. The experimental results showed that a geogrid provides extra internal confinement and interlocks the aggregates in its apertures, hence reduces ballast deformation. The discrete element method (DEM) was used to model geogrid-reinforced fresh and fouled ballast subjected to monotonic and cyclic loading. Irregularly-shaped particles and geogird were simulated by clumping spherical balls together, while the coal fines were simulated by adding 1.5 mm diameter spheres into the pore spaces of ballast. The predicted stress-displacement responses obtained from the DEM were in good agreement with those measured in the laboratory, where the peak shear stress of fouled ballast decreased and the dilation of fouled ballast increased with an increasing level of fouling. The contact force distributions and the orientations of normal and shear force were analyzed to provide more insight into the behaviour of ballast subjected to shearing.
Ngo, NT, Indraratna, B, Rujikiatkamjorn, C & Mahdi Biabani, M 2016, 'Experimental and Discrete Element Modeling of Geocell-Stabilized Subballast Subjected to Cyclic Loading', Journal of Geotechnical and Geoenvironmental Engineering, vol. 142, no. 4, pp. 04015100-04015100.
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This paper presents a study of the load-deformation behavior of geocell-stabilized subballast subjected to cyclic loading using a novel track process simulation apparatus. The tests were conducted at frequencies varying from 10 to 30 Hz. This frequency range is generally representative of Australian standard gauge trains operating up to 160 km/h. The discrete-element method (DEM) was also used to model geocell-reinforced subballast under plane strain conditions. The geocell was modeled by connecting a group of small circular balls together to form the desired geometry and aperture using contact and parallel bonds. Tensile and bending tests were carried out to calibrate the model parameters adopted for simulating the geocell. To model irregularly shaped particles of subballast, clusters of bonded circular balls were used. The simulated load-deformation curves of the geocell-reinforced subballast assembly at varying cyclic load cycles were in good agreement with the experimental observations. The results indicated that the geocell decreased the vertical and lateral deformation of subballast assemblies at any given frequency. Furthermore, the DEM can also provide insight into the distribution of contact force chains, and average contact normal and shear force distributions, which cannot be determined experimentally.
Nguyen, BT, Nguyen, DH, Nguyen, TT & Hoang, DB 2016, 'Design of a Workflow-Based Grid Framework', International Journal of Computer Theory and Engineering, vol. 8, no. 1, pp. 14-23.
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This paper aims to present the design of the Grid
Collaborative Framework which has been proposed in one of
our previous work. Grid infrastructure for resources sharing is
somewhat stable with the wide acceptance of the Open Grid
Services Architecture (OGSA) and Web Services Resource
Framework (WSRF), but Grid framework for collaboration is
far from desired. Current Grid Collaborative Frameworks
(GCFs) are domain specific and lack of plan-supported
capability. These limitations make them less useful and narrow
in scope of application. Our grid collaborative framework aims
to improve these limitations. With the theoretical foundation
based on the activity theory, workflow languages, and designed
on top of existing OGSA infrastructure, our proposed
framework aims at accelerating the development of grid
collaborative systems that consider work plans as central role.
Nguyen, DD, Chang, SW, Jeong, SY, Jeung, J, Kim, S, Guo, W & Ngo, HH 2016, 'Dry thermophilic semi-continuous anaerobic digestion of food waste: Performance evaluation, modified Gompertz model analysis, and energy balance', ENERGY CONVERSION AND MANAGEMENT, vol. 128, pp. 203-210.
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Nguyen, DD, Ngo, HH & Yoon, YS 2016, 'Effect of internal recycling ratios on biomass parameters and simultaneous reduction of nitrogen and organic matter in a hybrid treatment system', Ecological Engineering, vol. 89, pp. 24-31.
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Nguyen, DD, Ngo, HH, Guo, W, Nguyen, TT, Chang, SW, Jang, A & Yoon, YS 2016, 'Can electrocoagulation process be an appropriate technology for phosphorus removal from municipal wastewater?', Science of The Total Environment, vol. 563-564, pp. 549-556.
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© 2016 Elsevier B.V. This paper evaluated a novel pilot scale electrocoagulation (EC) system for improving total phosphorus (TP) removal from municipal wastewater. This EC system was operated in continuous and batch operating mode under differing conditions (e.g. flow rate, initial concentration, electrolysis time, conductivity, voltage) to evaluate correlative phosphorus and electrical energy consumption. The results demonstrated that the EC system could effectively remove phosphorus to meet current stringent discharge standards of less than 0.2 mg/L within 2 to 5 min. This target was achieved in all ranges of initial TP concentrations studied. It was also found that an increase in conductivity of solution, voltages, or electrolysis time, correlated with improved TP removal efficiency and reduced specific energy consumption. Based on these results, some key economic considerations, such as operating costs, cost-effectiveness, product manufacturing feasibility, facility design and retrofitting, and program implementation are also discussed. This EC process can conclusively be highly efficient in a relatively simple, easily managed, and cost-effective for wastewater treatment system.
Nguyen, DD, Ngo, HH, Yoon, YS, Chang, SW & Bui, HH 2016, 'A new approach involving a multi transducer ultrasonic system for cleaning turbine engines’ oil filters under practical conditions', Ultrasonics, vol. 71, pp. 256-263.
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Nguyen, HH, Khabbaz, H, Fatahi, B & Kelly, R 2016, 'Bridge Pile Response to Lateral Soil Movement Induced by Installation of Controlled Modulus Columns', Procedia Engineering, vol. 143, pp. 475-482.
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© 2016 The Authors. Published by Elsevier B.V. Controlled modulus columns (CMC) for ground improvement are installed using a hollow stem displacement auger to induce lateral soil displacement effect, followed by grout injection. While the method reduces spoils, the excessive lateral soil displacement may damage adjacent structures. Although there has been growing interest in quantifying such effects, only a handful of studies have been attempted. This paper presents the results of a numerical investigation on the CMC installation effect on an existing bridge pile using the three-dimensional finite difference software package FLAC3D. It has been found that when the CMC is long and the existing bridge pile is slender, the pile bending moment and pile lateral movement, induced by the CMC installation effect, can be significant.
Nguyen, JL, Lawrance, NRJ, Fitch, R & Sukkarieh, S 2016, 'Real-time path planning for long-term information gathering with an aerial glider', AUTONOMOUS ROBOTS, vol. 40, no. 6, pp. 1017-1039.
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© 2015, Springer Science+Business Media New York. Autonomous thermal soaring offers an opportunity to extend the flight duration of unmanned aerial vehicles (UAVs). In this work, we introduce the informative soaring problem, where a gliding UAV performs an information gathering mission while simultaneously replenishing energy from known thermal energy sources. We pose this problem in a way that combines convex optimisation with graph search and present four path planning algorithms with complementary characteristics. Using a target-search task as a motivating example, finite-horizon and Monte Carlo tree search methods are shown to be appropriate for situations with little prior knowledge, but suffer from either myopic planning or high computation cost in more complex scenarios. These issues are addressed by two novel tree search algorithms based on creating clusters that associate high uncertainty regions with nearby thermals. The cluster subproblems are solved independently to generate local plans, which are then linked together. Numerical simulations show that these methods find high-quality nonmyopic plans quickly. The more promising cluster-based method, which uses dynamic programming to compute a total ordering over clusters, is demonstrated in hardware tests on a UAV. Fifteen-minute plans are generated in less than four seconds, facilitating online replanning when simulated thermals are added or removed in-flight.
Nguyen, L & Fatahi, B 2016, 'Behaviour of clay treated with cement & fibre while capturing cementation degradation and fibre failure – C3F Model', International Journal of Plasticity, vol. 81, pp. 168-195.
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Crown Copyright © 2016 Published by Elsevier Ltd. All rights reserved. Soil treated with cement becomes brittle because its shear strength decreases rapidly in a post-peak state, which is why in recent years the inclusion of fibre into soil treated with cement has become an increasingly popular research area. This paper presents a constitutive model to simulate the behaviour of the fibre reinforced cement treated soil, referred to as the improved soil composite. In this model, a non-linear failure envelope was formulated to merge with the Critical State Line (CSL) of the reconstituted soil mixture at high levels of stress in order to capture the broken cementation bonds and ruptured fibre. A non-associated plastic potential function and a general stress strain relationship that includes the softening of the composite soil were also proposed to simulate the pre-and-post peak state. Moreover, many researchers focus on the addition of fibre into sand, soft clay, and sand treated with cement, whereas the behaviour of soft clay treated with fibre and cement requires further investigation. Hence, in this study a series of undrained triaxial tests were carried out on natural Ballina clay treated with cement and 0.3%-0.5% of fibre to determine how the amount of fibre and cement affects the behaviour of soft clay. SEM images were also analysed to study the structure of the improved Ballina composite at the micro-structural level. The laboratory results indicated that the combined effects of cementation and fibre reinforcement increased the shear strength and ductility of treated soft clay. Under triaxial conditions the peak shear strength of soft clay treated with cement and fibre increases dramatically due to the formation of cementation bonds and the bridging effect provided by the fibres, and the brittleness caused by the cementation bonds breaking also improves significantly due to the inclusion of fibre. However, when shearing at a high mean effective stress the ceme...
Nguyen, L, Fatahi, B & Khabbaz, H 2016, 'Predicting the Behaviour of Fibre Reinforced Cement Treated Clay', ADVANCES IN TRANSPORTATION GEOTECHNICS III, vol. 143, pp. 153-160.
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© 2016 The Authors. Published by Elsevier B.V. Treating soft clay with cement and fibre has become an effective ground improvement technique for transport infrastructure. Application of recycled fibres in deep soil mixing columns in soft soil sections of road and rail projects is being considered by designers and clients as an efficient technique. However, the combined effect of cement and fibre at failure requires further investigation. As the effective stresses increase to a sufficiently high stress, the effect of cementation is diminished due to the degradation of cementation bonds and the fibre exhibits failure due to either complete pull-out or breakage from the soil matrix. Thus, the failure envelope of the reinforced soil gradually merges with that of un-reinforced soil at higher stresses. In this paper, a constitutive model is proposed to simulate the behaviour of the cement treated-fibre reinforced soil based on the Critical State Soil Mechanic and the Modified Cam Clay model. In particular, the proposed model captures the beneficial effects of cementation and fibre reinforcement such as the improvement in strength and ductility while the cementation degradation and the failure mechanism of the fibre are also considered. In addition, a series of un-drained triaxial tests were conducted to verify the performance of the proposed model. This paper concludes that adding fibre into the cement treated soil clearly improves its residual strength, thus, a significant increase in ductility is observed and well simulated. In this study, by modifying the mean effective stress to include the cementation degradation and the fibre failure mechanism, the proposed model results in realistic prediction for the behaviour of soil treated with cement and fibre.
Nguyen, LD, Tuan, HD & Duong, TQ 2016, 'Energy-Efficient Signalling in QoS Constrained Heterogeneous Networks', IEEE Access, vol. 4, pp. 7958-7966.
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© 2013 IEEE. This paper considers a heterogeneous network, which consists of one macro base station and numerous small cell base stations (SBSs) cooperatively serving multiple user terminals. The first objective is to design cooperative transmit beamformers at the base stations to maximize the network energy efficiency (EE) in terms of bits per joule subject to the users' quality of service (QoS) constraints, which poses a computationally difficult optimization problem. The commonly used Dinkelbach-type algorithms for optimizing a ratio of concave and convex functions are not applicable. This paper develops a path-following algorithm to address the computational solution to this problem, which invokes only a simple convex quadratic program of moderate dimension at each iteration and quickly converges at least to a locally optimal solution. Furthermore, the problem of joint beamformer design and SBS service assignment in the three-objective (EE, QoS, and service loading) optimization is also addressed. Numerical results demonstrate the performance advantage of the proposed solutions.
Nguyen, LN, Hai, FI, Dosseto, A, Richardson, C, Price, WE & Nghiem, LD 2016, 'Continuous adsorption and biotransformation of micropollutants by granular activated carbon-bound laccase in a packed-bed enzyme reactor', Bioresource Technology, vol. 210, pp. 108-116.
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Nguyen, LN, van de Merwe, JP, Hai, FI, Leusch, FDL, Kang, J, Price, WE, Roddick, F, Magram, SF & Nghiem, LD 2016, 'Laccase–syringaldehyde-mediated degradation of trace organic contaminants in an enzymatic membrane reactor: Removal efficiency and effluent toxicity', Bioresource Technology, vol. 200, pp. 477-484.
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Redox-mediators such as syringaldehyde (SA) can improve laccase-catalyzed degradation of trace organic contaminants (TrOCs) but may increase effluent toxicity. The degradation performance of 14 phenolic and 17 non-phenolic TrOCs by a continuous flow enzymatic membrane reactor (EMR) at different TrOC and SA loadings was assessed. A specific emphasis was placed on the investigation of the toxicity of the enzyme (laccase), SA, TrOCs and the treated effluent. Batch tests demonstrated significant individual and interactive toxicity of the laccase and SA preparations. Reduced removal of resistant TrOCs by the EMR was observed for dosages over 50μg/L. SA addition at a concentration of 10μM significantly improved TrOC removal, but no removal improvement was observed at the elevated SA concentrations of 50 and 100μM. The treated effluent showed significant toxicity at SA concentrations beyond 10μM, providing further evidence that higher dosage of SA must be avoided.
Nguyen, LV, Kodagoda, S & Ranasinghe, R 2016, 'Spatial Sensor Selection via Gaussian Markov Random Fields', IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 46, no. 9, pp. 1226-1239.
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Nguyen, LV, Kodagoda, S, Ranasinghe, R & Dissanayake, G 2016, 'Information-Driven Adaptive Sampling Strategy for Mobile Robotic Wireless Sensor Network', IEEE Transactions on Control Systems Technology, vol. 24, no. 1, pp. 372-379.
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This brief addresses the issue of monitoring physical spatial phenomena of interest using information collected by a resource-constrained network of mobile, wireless, and noisy sensors that can take discrete measurements as they navigate through the environment. We first propose an efficient novel optimality criterion for designing a sampling strategy to find the most informative locations in taking future observations to minimize the uncertainty at all unobserved locations of interest. This solution is proven to be within bounds. The computational complexity of this proposition is shown to be practically feasible. We then prove that under a certain condition of monotonicity property, the approximate entropy at resulting locations obtained by our proposed algorithm is within 1-(1/e) of the optimum, which is then utilized as a stopping criterion for the sampling algorithm. The criterion enables the prediction results to be within user-defined accuracies by controlling the number of mobile sensors. The effectiveness of the proposed method is illustrated using a prepublished data set.
Nguyen, NC, Chen, S-S, Nguyen, HT, Ray, SS, Ngo, HH, Guo, W & Lin, P-H 2016, 'Innovative sponge-based moving bed–osmotic membrane bioreactor hybrid system using a new class of draw solution for municipal wastewater treatment', Water Research, vol. 91, pp. 305-313.
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For the first time, an innovative concept of combining sponge-based moving bed (SMB) and an osmotic membrane bioreactor (OsMBR), known as the SMB-OsMBR hybrid system, were investigated using Triton X-114 surfactant coupled with MgCl2 salt as the draw solution. Compared to traditional activated sludge OsMBR, the SMB-OsMBR system was able to remove more nutrients due to the thick-biofilm layer on sponge carriers. Subsequently less membrane fouling was observed during the wastewater treatment process. A water flux of 11.38 L/(m(2) h) and a negligible reverse salt flux were documented when deionized water served as the feed solution and a mixture of 1.5 M MgCl2 and 1.5 mM Triton X-114 was used as the draw solution. The SMB-OsMBR hybrid system indicated that a stable water flux of 10.5 L/(m(2) h) and low salt accumulation were achieved in a 90-day operation. Moreover, the nutrient removal efficiency of the proposed system was close to 100%, confirming the effectiveness of simultaneous nitrification and denitrification in the biofilm layer on sponge carriers. The overall performance of the SMB-OsMBR hybrid system using MgCl2 coupled with Triton X-114 as the draw solution demonstrates its potential application in wastewater treatment.
Nguyen, NC, Nguyen, HT, Chen, S-S, Ngo, HH, Guo, W, Chan, WH, Ray, SS, Li, C-W & Hsu, H-T 2016, 'A novel osmosis membrane bioreactor-membrane distillation hybrid system for wastewater treatment and reuse', Bioresource Technology, vol. 209, pp. 8-15.
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© 2016 . A novel approach was designed to simultaneously enhance nutrient removal and reduce membrane fouling for wastewater treatment using an attached growth biofilm (AGB) integrated with an osmosis membrane bioreactor (OsMBR) system for the first time. In this study, a highly charged organic compound (HEDTA3-) was employed as a novel draw solution in the AGB-OsMBR system to obtain a low reverse salt flux, maintain a healthy environment for the microorganisms. The AGB-OsMBR system achieved a stable water flux of 3.62 L/m2 h, high nutrient removal of 99% and less fouling during a 60-day operation. Furthermore, the high salinity of diluted draw solution could be effectively recovered by membrane distillation (MD) process with salt rejection of 99.7%. The diluted draw solution was re-concentrated to its initial status (56.1 mS/cm) at recovery of 9.8% after 6 h. The work demonstrated that novel multi-barrier systems could produce high quality potable water from impaired streams.
Nguyen, NC, Nguyen, HT, Ho, S-T, Chen, S-S, Ngo, HH, Guo, W, Ray, SS & Hsu, H-T 2016, 'Exploring high charge of phosphate as new draw solute in a forward osmosis–membrane distillation hybrid system for concentrating high-nutrient sludge', Science of The Total Environment, vol. 557-558, pp. 44-50.
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Nguyen, Q, Khalifa, N, Alzamora, P, Gleeson, A, Catchpoole, D, Kennedy, P & Simoff, S 2016, 'Visual Analytics of Complex Genomics Data to Guide Effective Treatment Decisions', Journal of Imaging, vol. 2, no. 4, pp. 29-29.
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© 2016 by the authors. In cancer biology, genomics represents a big data problem that needs accurate visual data processing and analytics. The human genome is very complex with thousands of genes that contain the information about the individual patients and the biological mechanisms of their disease. Therefore, when building a framework for personalised treatment, the complexity of the genome must be captured in meaningful and actionable ways. This paper presents a novel visual analytics framework that enables effective analysis of large and complex genomics data. By providing interactive visualisations from the overview of the entire patient cohort to the detail view of individual genes, our work potentially guides effective treatment decisions for childhood cancer patients. The framework consists of multiple components enabling the complete analytics supporting personalised medicines, including similarity space construction, automated analysis, visualisation, gene-to-gene comparison and user-centric interaction and exploration based on feature selection. In addition to the traditional way to visualise data, we utilise the Unity3D platform for developing a smooth and interactive visual presentation of the information. This aims to provide better rendering, image quality, ergonomics and user experience to non-specialists or young users who are familiar with 3D gaming environments and interfaces. We illustrate the effectiveness of our approach through case studies with datasets from childhood cancers, B-cell Acute Lymphoblastic Leukaemia (ALL) and Rhabdomyosarcoma (RMS) patients, on how to guide the effective treatment decision in the cohort.
Nguyen, QV, Fatahi, B & Hokmabadi, AS 2016, 'The effects of foundation size on the seismic performance of buildings considering the soil-foundation-structure interaction', Structural Engineering and Mechanics, vol. 58, no. 6, pp. 1045-1075.
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Copyright © 2016 Techno-Press, Ltd. Shallow footings are one of the most common types of foundations used to support mid-rise buildings in high risk seismic zones. Recent findings have revealed that the dynamic interaction between the soil, foundation, and the superstructure can influence the seismic response of the building during earthquakes. Accordingly, the properties of a foundation can alter the dynamic characteristics (natural frequency and damping) of the soil-foundation-structure system. In this paper the influence that shallow foundations have on the seismic response of a mid-rise moment resisting building is investigated. For this purpose, a fifteen storey moment resisting frame sitting on shallow footings with different sizes was simulated numerically using ABAQUS software. By adopting a direct calculation method, the numerical model can perform a fully nonlinear time history dynamic analysis to realistically simulate the dynamic behaviour of soil, foundation, and structure under seismic excitations. This three-dimensional numerical model accounts for the nonlinear behaviour of the soil medium and structural elements. Infinite boundary conditions were assigned to the numerical model to simulate free field boundaries, and appropriate contact elements capable of modelling sliding and separation between the foundation and soil elements are also considered. The influence of foundation size on the natural frequency of the system and structural response spectrum was also studied. The numerical results for cases of soil-foundation-structure systems with different sized foundations and fixed base conditions (excluding soil-foundation-structure interaction) in terms of lateral deformations, inter-storey drifts, rocking, and shear force distribution of the structure were then compared. Due to natural period lengthening, there was a significant reduction in the base shears when the size of the foundation was reduced. It was concluded that the size of a...
Nguyen, T, Ghabraie, K, Tran-Cong, T & Fatahi, B 2016, 'Improving Rockbolt Design in Tunnels Using Topology Optimization', International Journal of Geomechanics, vol. 16, no. 1, pp. 04015023-04015023.
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© 2015 American Society of Civil Engineers. Finding an optimum reinforcement layout for underground excavation can result in a safer and more economical design, and is therefore highly desirable. Some works in the literature have applied topology optimization in tunnel reinforcement design in which reinforced rock is modeled as homogenized isotropic material. Optimization results, therefore, do not clearly show reinforcement distributions, leading to difficulties in explaining the final outcomes. To overcome this deficiency, a more sophisticated modeling technique in which reinforcements are explicitly modeled as truss elements embedded in rock mass media is used. An optimization algorithm extending the solid isotropic material with penalization method is introduced to seek for an optimal bolt layout. To obtain the stiffest structure with a given amount of reinforced material, external work along the opening is selected as the objective function with a constraint on the volume of reinforcement. The presented technique does not depend on material models used for rock and reinforcements and can be applied to any material model. Nonlinear material behavior of rock and reinforcement is considered in this work. Through solving some typical examples, the proposed approach is proved to enhance the conventional reinforcement design and provide clear and practical reinforcement layouts.
Nguyen, TT & Indraratna, B 2016, 'Hydraulic behaviour of parallel fibres under longitudinal flow: a numerical treatment', Canadian Geotechnical Journal, vol. 53, no. 7, pp. 1081-1092.
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Modelling fluid flow through fibrous porous materials has gained increasing attention from industry and research communities. Analytical and numerical methods are commonly used to predict the hydraulic characteristics of fibrous material during fluid flow, although to date most techniques have been conducted using the same assumption that the geometric features of fibres remain unchanged. In other words, the mutual interaction between fibre elements and fluid is ignored, which undermines the actual working condition of fibres. This paper therefore presents a potential numerical approach that is capable of capturing the behaviour of a fluid–solid system. Individual fibres are simulated by the discrete element method (DEM) coupled with the concept of computational fluid dynamics (CFD), whereby the information contained in each phase is constantly exchanged and updated with other phases. In comparison with conventional solutions, including the Kozeny–Carman (K–C) fluid flow principle and other valid studies, the results show an acceptable agreement in predicting the hydraulic conductivity of a fibrous system. Subjected to laminar longitudinal flow, fibre motion is also evaluated with respect to varying bond stiffness and flow velocity. The study indicates the potential of the proposed technique in modelling drainage and filtration that is based on the hydraulic behaviour of fibrous porous geomaterials.
Nguyen, TT, Bui, XT, Pham, MD, Guo, W & Ngo, HH 2016, 'Effect of Tris-(hydroxymethyl)-amino methane on microalgae biomass growth in a photobioreactor', Bioresource Technology, vol. 208, pp. 1-6.
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© 2016 Elsevier Ltd. One of the buffers namely Tris (Tris-(hydroxymethyl)-amino methane) was used to increase the growth of microalgae by stabilizing the pH value in microalgae cultures. The objective of this research is to determine the growth rate and biomass productivity of Chlorella sp. with and without Tris addition. Both conditions function at various N:P ratios cultured in photobioreactors (carbon dioxide of 5% (v/v), light intensity of 3.3 Klux). Daily variations in nutrient removal (nitrogen and phosphorus), cell concentration, DO, temperature and pH were measured for data analysis. The results show that the largest yield of biomass was achieved at the N:P ratio of 15:1 with and without Tris. After cultivation lasting 92 h, the algae concentration at this ratio was 1250 mg L-1 and 3568 mg L-1 with and without Tris, respectively. This indicates that adding Tris to the photobioreactor greatly reduces algae biomass due to bacterial competition.
Nguyen, T-T, Bui, X-T, Vo, T-D-H, Nguyen, D-D, Nguyen, P-D, Do, H-L-C, Ngo, H-H & Guo, W 2016, 'Performance and membrane fouling of two types of laboratory-scale submerged membrane bioreactors for hospital wastewater treatment at low flux condition', Separation and Purification Technology, vol. 165, pp. 123-129.
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© 2016 Elsevier B.V. All rights reserved. The performance and membrane fouling of a lab-scale submerged sponge-membrane bioreactor (Sponge-MBR) and a conventional MBR were investigated and compared for hospital wastewater treatment at low fluxes of 2-6 LMH. COD removal by the Sponge-MBR was similar to that of the MBR, while the Sponge-MBR achieved 9-16% removed more total nitrogen than the MBR. This was due to 60% of total biomass being entrapped in the sponges, which enhanced simultaneous nitrification denitrification. Additionally, the fouling rates of the Sponge-MBR were 11-, 6.2- and 3.8-times less than those of the MBR at flux rates of 2, 4 and 6 LMH, respectively. It indicates the addition of sponge media into a MBR could effectively reduce the fouling caused by cake formation and absorption of soluble substances in a low flux scenario.
Ni, J, Zhu, Y, Chen, YL, Du, X & Rujikiatkamjorn, C 2016, 'Cumulative pore water pressure behaviour of soft clays installed with prefabricated vertical drains under cyclic loads', Yantu Lixue/Rock and Soil Mechanics, vol. 37, no. 2.
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Large-scale cyclic triaxial tests are conducted on remoulded kaolin specimens with 300 mm diameter and 600 mm height. To achieve radial drainage during and after the cyclic tests, a single prefabricated vertical drain (PVD) is installed in the centre of the soil cylinder. The test results verify that radial drainage can effectively dissipate the pore water pressure induced by cyclic loads. A radial consolidation model under cyclic loading is proposed to capture the behavior of soft clays subjected to cyclic loading when radial drainage is allowed during the loading and rest periods. It is achieved by combining radial consolidation theory with an undrained cyclic loading model. The effects of the stress history and dissipation of pore water pressure on the generation of pore water pressure are considered in the proposed model, which is verified by large-scale cyclic triaxial tests. It is found that for a high cyclic stress load, the radial drainage decreases the cumulative rate of pore water pressure up to the critical value, so the soil could undergo more loading cycles prior to failure. With a moderate cyclic stress load, the radial drainage prevents the pore water pressure from accumulating to the critical value. Furthermore, the effect of rest period on the generation of pore water pressure is investigated. It is indicated that the cumulative pore water pressure begins to decrease after three sets of cyclic loading, showing that no substantial pore water pressure will be observed if more sets of cyclic loading are applied.
Ni, W 2016, 'Minimized Error Propagation Location Method Based on Error Estimation', The Computer Journal, vol. 59, no. 9, pp. 1282-1288.
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Nicholson, AP, Iberzanov, A, Jenkins, J, Hamilton, TJ & Lehmann, T 2016, 'A Statistical Design Approach for a Digitally Programmable Mismatch-Tolerant High-Speed Nauta Structure Differential OTA in 65-nm CMOS', IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no. 9, pp. 2899-2910.
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© 2016 IEEE. The Nauta structure differential operational transconductance amplifier (OTA) is introduced as a solution to an amplifier design in deep submicrometer CMOS. This simple high-speed inverter-based architecture uses a negative conductance dc gain enhancement technique to produce high dc gains and large unity gain frequencies. The design tradeoff is that the achievable dc gain is proportional to transistor device matching. Our analysis shows that fixed width Nauta structure OTAs have low dc gains due to variations, and thus viable Nauta OTAs need to have tuning mechanisms available to correct for mismatch. This paper presents a digitally programmable Nauta structure OTA architecture built using digital-to-transconductance converters (DTCs). These DTCs are designed to allow for flexibility in producing digital tuning solutions to the device mismatch problem using Nauta OTAs. We present a theoretical analysis of the digital Nauta OTA solution space for high dc gains and a statistical framework to estimate the likelihood of achieving certain gain specifications. Experimental results from a 65-nm CMOS prototype shows that the architecture achieves an average dc gain of greater than 60 dB in line with the minimum expected gain of 59 dB, and on-chip unity gain bandwidth is inferred above 5.8 GHz.
Nie, L, Jiang, D, Guo, L & Yu, S 2016, 'Traffic matrix prediction and estimation based on deep learning in large-scale IP backbone networks', Journal of Network and Computer Applications, vol. 76, pp. 16-22.
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Network traffic analysis has been one of the most crucial techniques for preserving a large-scale IP backbone network. Despite its importance, large-scale network traffic monitoring techniques suffer from some technical and mercantile issues to obtain precise network traffic data. Though the network traffic estimation method has been the most prevalent technique for acquiring network traffic, it still has a great number of problems that need solving. With the development of the scale of our networks, the level of the ill-posed property of the network traffic estimation problem is more deteriorated. Besides, the statistical features of network traffic have changed greatly in terms of current network architectures and applications. Motivated by that, in this paper, we propose a network traffic prediction and estimation method respectively. We first use a deep learning architecture to explore the dynamic properties of network traffic, and then propose a novel network traffic prediction approach based on a deep belief network. We further propose a network traffic estimation method utilizing the deep belief network via link counts and routing information. We validate the effectiveness of our methodologies by real data sets from the Abilene and GÉANT backbone networks.
Nimbalkar, S & Indraratna, B 2016, 'Field Assessment of Ballasted Railroads Using Geosynthetics and Shock Mats', Procedia Engineering, vol. 143, pp. 1485-1494.
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© 2016 The Authors. Published by Elsevier B.V.The ballasted railroads form an integral part of the modern transportation infrastructure in Australia. However, they are subjected to large stresses especially on mixed traffic lines, where heavy freight trains are operated. Under such adverse operational conditions, ballast progressively degrades contributing to overall track deformations and frequent maintenance. Maintaining geometry of ballast embankments is necessary to improve safety and efficiency of railway operations. The use of artificial inclusions (geosynthetics and shock mats) as well as recycled (discarded) ballast in track can be economically viable options. In order to gain more insight, the CGRE has conducted extensive field trials on two rail lines in Bulli and Singleton in New South Wales supported by Sydney Trains and Australian Rail Track Corporation, respectively. In these studies, different types of geosynthetics (geogrid, geotextile and geocomposite) and shock mats were installed beneath the ballast layer constructed on varying subgrade conditions. Relative advantages of different geogrids were studied. Traffic induced stresses, ballast breakage, transient and permanent deformations were routinely monitored using precise instrumentation schemes. This paper discusses the details of track construction, instrumentation, monitoring processes and results of these field studies.
Nimbalkar, S & Indraratna, B 2016, 'Improved Performance of Ballasted Rail Track Using Geosynthetics and Rubber Shockmat', Journal of Geotechnical and Geoenvironmental Engineering, vol. 142, no. 8, pp. 04016031-04016031.
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Niu, J, Wang, L, Liu, X & Yu, S 2016, 'FUIR: Fusing user and item information to deal with data sparsity by using side information in recommendation systems', Journal of Network and Computer Applications, vol. 70, pp. 41-50.
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Recommendation systems adopt various techniques to recommend ranked lists of items to help users in identifying items that fit their personal tastes best. Among various recommendation algorithms, user and item-based collaborative filtering methods have been very successful in both industry and academia. More recently, the rapid growth of the Internet and E-commerce applications results in great challenges for recommendation systems as the number of users and the amount of available online information have been growing too fast. These challenges include performing high quality recommendations per second for millions of users and items, achieving high coverage under the circumstance of data sparsity and increasing the scalability of recommendation systems. To obtain higher quality recommendations under the circumstance of data sparsity, in this paper, we propose a novel method to compute the similarity of different users based on the side information which is beyond user-item rating information from various online recommendation and review sites. Furthermore, we take the special interests of users into consideration and combine three types of information (users, items, user-items) to predict the ratings of items. Then FUIR, a novel recommendation algorithm which fuses user and item information, is proposed to generate recommendation results for target users. We evaluate our proposed FUIR algorithm on three data sets and the experimental results demonstrate that our FUIR algorithm is effective against sparse rating data and can produce higher quality recommendations.
Nobbs, M & Blamires, SJ 2016, 'Making up for lost time: Biophysical constraints on the temporal abundance of two fiddler crabs in wet-dry tropical mangroves', Austral Ecology, vol. 41, no. 7, pp. 791-796.
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Nöhring, F, Sackermann, R, Krebs, M & Deuse, J 2016, 'Moderne Zeitwirtschaft in der Einzel- und Kleinserienfertigung', Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 111, no. 5, pp. 256-260.
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Kurzfassung Aktuelle sowie belastbare zeitwirtschaftliche Daten sind eine wichtige Grundlage für die Planung und Steuerung der Produktion in Unternehmen. Allerdings ist insbesondere in der Einzel- und Kleinserienfertigung mit geringen Stückzahlen und hoher Variantenvielfalt der Aufwand zum Aufbau und Betrieb einer Zeitwirtschaft im angemessenen Rahmen zu halten. In diesem Fachbeitrag wird ein Konzept zur Ermittlung, Aufbereitung und Verwendung von Planzeitbausteinen vorgestellt.
Nöhring, F, Wienzek, T, Wöstmann, R & Deuse, J 2016, 'Development of a sociotechnical design and implementation systematic', ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, vol. 111, no. 6, pp. 376-379.
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Implementation of Industry 4.0-technologies typically take place in pilot projects and require high effort. This paper presents the concept of a sociotechnical design and implementation systematic for Cyber-Physical Production Systems (CPPS) in companies with non-intensive research and development. The focus is on targetoriented choice of CPPS as well as integration in existing production systems. Four representative scenarios are presented.
Norjannah, B, Ong, HC, Masjuki, HH, Juan, JC & Chong, WT 2016, 'Enzymatic transesterification for biodiesel production: a comprehensive review', RSC Advances, vol. 6, no. 65, pp. 60034-60055.
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Biodiesel catalyzed by enzyme is affected by many factors. This review will critically discuss the three major components of enzymatic production of biodiesel and the methods used to improve the reaction.
Norouzi, M, Valls Miro, J & Dissanayake, G 2016, 'Probabilistic stable motion planning with stability uncertainty for articulated vehicles on challenging terrains', Autonomous Robots, vol. 40, no. 2, pp. 361-381.
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© 2015, Springer Science+Business Media New York. A probabilistic stable motion planning strategy applicable to reconfigurable robots is presented in this paper. The methodology derives a novel statistical stability criterion from the cumulative distribution of a tip-over metric. The measure is dynamically updated with imprecise terrain information, localization and robot kinematics to plan safety-constrained paths which simultaneously allow the widest possible visibility of the surroundings by simultaneously assuming highest feasible vantage robot configurations. The proposed probabilistic stability metric allows more conservative poses through areas with higher levels of uncertainty, while avoiding unnecessary caution in poses assumed at well-known terrain sections. The implementation with the well known grid based A* algorithm and also a sampling based RRT planner are presented. The validity of the proposed approach is evaluated with a multi-tracked robot fitted with a manipulator arm and a range camera using two challenging elevation terrains data sets: one obtained whilst operating the robot in a mock-up urban search and rescue arena, and the other from a publicly available dataset of a quasi-outdoor rover testing facility.
Noushini, A & Castel, A 2016, 'The effect of heat-curing on transport properties of low-calcium fly ash-based geopolymer concrete', Construction and Building Materials, vol. 112, pp. 464-477.
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The aim of this study is to evaluate the transport properties of class F fly ash-based geopolymer concrete cured at various conditions. Twelve different heat curing regimes including three temperatures of 60, 75 and 90 °C and four curing durations of 8, 12, 18 and 24 h, as well as ambient curing, were imposed to the specimens. The material properties such as compressive strength, elastic modulus, ultrasonic pulse velocity, absorption, volume of permeable voids, pore size distribution and resistivity were evaluated against the reference Portland cement (OPC) concrete. Experiments showed that proper curing conditions such as curing at 75 °C for 18-24 h yield a geopolymer concrete with low volume of permeable voids and low sorptivity coefficient. The reduced volume of permeable voids and less continuous capillaries, attained by applying the proper curing regime, leads to an increased electrical resistivity and compressive strength of the low-calcium fly ash-based GPCs.
Noushini, A, Aslani, F, Castel, A, Gilbert, RI, Uy, B & Foster, S 2016, 'Compressive stress-strain model for low-calcium fly ash-based geopolymer and heat-cured Portland cement concrete', Cement and Concrete Composites, vol. 73, pp. 136-146.
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This research focuses on elucidating the present knowledge gaps in geopolymer concrete's engineering properties, specifically its stress-strain behaviour. Geopolymer concrete (GPC) is an emerging alternative to ordinary Portland cement concrete (OPCC), and is produced via a polycondensation reaction between aluminosilicate source materials and an alkaline solution. As a relatively new material, many engineering properties of geopolymer concrete are still undetermined. In this paper, the compressive strength, modulus of elasticity and stress-strain behaviour of ambient and heat-cured GPC and OPCC have been studied experimentally. A total of 195 geopolymer concrete cylinders and 210 Portland cement concrete cylinders were tested for the above mentioned characteristics. Based on the experimental results, constitutive models describing the complete stress–strain behaviour in uniaxial compression have been developed for the low-calcium fly ash-based geopolymer concrete and the heat-cured Portland cement concrete.
Noushini, A, Babaee, M & Castel, A 2016, 'Suitability of heat-cured low-calcium fly ash-based geopolymer concrete for precast applications', Magazine of Concrete Research, vol. 68, no. 4, pp. 163-177.
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This paper discusses the advantages of using low-calcium fly ash (FA)-based geopolymer concrete (GPC) for precast applications when high early-age strength is required. Heat curing is known to be the reaction accelerator for both Portland cement (OPC) concrete and the newly emerged GPC. Here, the influence of 12 different heat-curing regimes, as well as internal curing, on mechanical properties of an FA-based GPC is investigated. The curing regimes include three temperatures of 60, 75 and 90°C, and four curing durations of 8, 12, 18 and 24 h. Results are compared with that of OPC concrete counterpart, with the same amount of binder and aggregate. Test results show that, in optimum heat-curing conditions, GPC can achieve more than 90% of its 28 d compressive strength after 1 d, compared to only 55% to 71% for normal concrete. The optimum heat-curing regime for GPC, combining best performance and energy efficiency, is found to be 75°C for 18 h. Contrary to conventional concrete, heat curing has no detrimental effect on the long-term compressive strength of GPC. It is concluded that, for precast applications, FA-based GPC appears to perform better than OPC concrete in terms of both early and long-term compressive strength using the same amount of binder.
Nur, T, Loganathan, P, Kandasamy, J & Vigneswaran, S 2016, 'Phosphate Adsorption from Membrane Bioreactor Effluent Using Dowex 21K XLT and Recovery as Struvite and Hydroxyapatite', INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, vol. 13, no. 3.
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© 2016 by the authors; licensee MDPI, Basel, Switzerland. Discharging phosphate through wastewaters into waterways poses a danger to the natural environment due to the serious risks of eutrophication and health of aquatic organisms. However, this phosphate, if economically recovered, can partly overcome the anticipated future scarcity of phosphorus (P) resulting from exhaustion of natural phosphate rock reserves. An experiment was conducted to determine the efficiency of removing phosphate from a membrane bioreactor effluent (pH 7.0–7.5, 20, 35 mg phosphate/L) produced in a water reclamation plant by adsorption onto Dowex 21K XLT ion exchange resin and recover the phosphate as fertilisers. The data satisfactorily fitted to Langmuir adsorption isotherm with a maximum adsorption capacity of 38.6 mg_ P/g. The adsorbed phosphate was quantitatively desorbed by leaching the column with 0.1 M NaCl solution. The desorbed phosphate was recovered as struvite when ammonium and magnesium were added at the molar ratio of phosphate, ammonium and magnesium of 1:1:1 at pH 9.5. Phosphate was also recovered from the desorbed solution as hydroxyapatite precipitate by adding calcium hydroxide to the solution at a phosphate to calcium molar ratio of 1:2 at pH 7.0. The P contents of struvite and hydroxyapatite produced were close to those of the respective commercial phosphate fertilisers.
Nur, T, Naidu, G, Loganathan, P, Kandasamy, J & Vigneswaran, S 2016, 'Rubidium recovery using potassium cobalt hexacyanoferrate sorbent', DESALINATION AND WATER TREATMENT, vol. 57, no. 55, pp. 26577-26585.
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© 2016 Balaban Desalination Publications. All rights reserved. Rubidium (Rb) is a highly valued and economically important metal present in large quantities in many natural and wastewaters. However, its recovery is hampered by its low concentration and extracting agents’ limited selectivity. A batch sorption study showed that a potassium cobalt hexacyanoferrate (KCoFC) sorbent had much higher sorption capacities for Rb and caesium (Cs) than for lithium (Li), sodium (Na) and calcium (Ca). Equilibrium sorption data at pH 7 and 24 ± 1°C for Rb and Cs satisfactorily fitted to the Langmuir model with sorption maxima of 96 and 61 mg/g, respectively. A fixed-bed column (12 cm height) containing a mixture of 2.2 g KCoFC and 19.8 g granular activated carbon had a breakthrough sorption capacity of 61 mg/g when a solution containing 5 mg Rb/L was passed through the column at a velocity of 2.5 m/h (0.7 L/h). When 1 and 5 mg Cs/L were added to the Rb solution, Rb sorption capacity dropped to 46 and 41 mg/g, respectively. During Rb sorption, K from the KCoFC lattice was released. Leaching the column containing sorbed Rb with 0.1 M KCl for 60 min at a velocity of 10 m/h desorbed 99% of sorbed Rb. A process for recovering Rb from sea water reverse osmosis brine is presented.
Nurfahmi, Ong, HC, Jan, BM, Tong, CW, Fauzi, H & Chen, W-H 2016, 'Effects of organosolv pretreatment and acid hydrolysis on palm empty fruit bunch (PEFB) as bioethanol feedstock', Biomass and Bioenergy, vol. 95, pp. 78-83.
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Oberst, S, Lai, JCS & Evans, TA 2016, 'Termites utilise clay to build structural supports and so increase foraging resources', Scientific Reports, vol. 6, no. 1.
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AbstractMany termite species use clay to build foraging galleries and mound-nests. In some cases clay is placed within excavations of their wooden food, such as living trees or timber in buildings; however the purpose for this clay is unclear. We tested the hypotheses that termites can identify load bearing wood and that they use clay to provide mechanical support of the load and thus allow them to eat the wood. In field and laboratory experiments, we show that the lower termite Coptotermes acinaciformis, the most basal species to build a mound-nest, can distinguish unloaded from loaded wood and use clay differently when eating each type. The termites target unloaded wood preferentially and use thin clay sheeting to camouflage themselves while eating the unloaded wood. The termites attack loaded wood secondarily and build thick, load-bearing clay walls when they do. The termites add clay and build thicker walls as the load-bearing wood is consumed. The use of clay to support wood under load unlocks otherwise unavailable food resources. This behaviour may represent an evolutionary step from foraging behaviour to nest building in lower termites.
Oberst, S, Zhang, Z & Lai, JCS 2016, 'The Role of Nonlinearity and Uncertainty in Assessing Disc Brake Squeal Propensity', SAE International Journal of Passenger Cars - Mechanical Systems, vol. 9, no. 3, pp. 980-986.
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Odeh, N, Abolhasan, M, Safaei, F, Franklin, DR & Mao, G 2016, 'Utility-based resource allocation for interference limited OFDMA cooperative relay networks', PHYSICAL COMMUNICATION, vol. 20, pp. 74-84.
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Oi, LE, Choo, M-Y, Lee, HV, Ong, HC, Hamid, SBA & Juan, JC 2016, 'Recent advances of titanium dioxide (TiO2) for green organic synthesis', RSC Advances, vol. 6, no. 110, pp. 108741-108754.
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This review focuses on the recent development of TiO2 as a catalyst in green organic synthesis including in hydrodeoxygenation, hydrogenation, esterification/transesterification, the water–gas shift reaction, and visible light-induced organic transformation.
Othman, SH & Beydoun, G 2016, 'A metamodel-based knowledge sharing system for disaster management', EXPERT SYSTEMS WITH APPLICATIONS, vol. 63, pp. 49-65.
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Ouyang, J, Han, B, Cao, Y, Zhou, W, Li, W & Shah, SP 2016, 'The role and interaction of superplasticizer and emulsifier in fresh cement asphalt emulsion paste through rheology study', Construction and Building Materials, vol. 125, pp. 643-653.
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© 2016 Elsevier Ltd The workability and mechanical properties of cement asphalt emulsion (CA) mortar are unstable due to the complex interaction between cement and asphalt emulsion. To reveal the interaction between cement and asphalt emulsion, the effect of emulsifier and superplasticizer on the rheology of cement paste and asphalt emulsion is investigated, respectively, and the effect of the interaction between emulsifier and superplasticizer on the rheology of cement paste is studied in this paper as well. Results show that the apparent viscosity and yield stress of asphalt emulsion increase with superplasticizer and emulsifier dosage. Emulsifier can change the yield stress and apparent viscosity of cement paste, and its effect on cement paste differs greatly with the type and dosage of emulsifier. Some emulsifiers can increase the yield stress of cement paste, but some emulsifiers can decrease the yield stress of cement paste. Emulsifier has interaction with superplasticizer, thus affecting the reducing water effect of superplasticizer on cement paste. There is a competition relationship between emulsifier and superplasticizer when they are adsorbed by cement particles. The mixing method, in which superplasticizer is mixed with cement before emulsifier added, is beneficial to obtain a lower apparent viscosity of cement paste for all tested emulsifiers.
Paimin, AN, Hadgraft, RG, Prpic, JK & Alias, M 2016, 'An application of the theory of reasoned action: Assessing success factors of engineering students', International Journal of Engineering Education, vol. 32, no. 6, pp. 2426-2433.
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Student attrition in engineering is of concern. This study investigated motivational factors necessary to succeed in engineering. The Theory of Reasoned Action (TRA) model was used to guide the suggested paths from learning strategy, interest, and intention to academic performance. Participants were 135 Malaysian and 132 Australian engineering undergraduates who had completed the Study Process Questionnaire (R-SPQ-2F) scale and the Learner Autonomy Profile (LAP-SF) scale. The correlation coefficient analysis showed strong interrelationships between learning strategy, interest and intention. The findings of the structural equation modelling (SEM) revealed unexpected but interesting findings between the two countries. Two different pathways were established for the Malaysian and Australian data suggesting that the TRA model is best suited to the Australian learning context. The findings of this study could help identify a suitable model for explaining success factors in engineering.
Paler, A, Devitt, SJ & Fowler, AG 2016, 'Synthesis of Arbitrary Quantum Circuits to Topological Assembly', Scientific Reports 6, Article number: 30600 (2016), vol. 6, no. 1, p. 30600.
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Given a quantum algorithm, it is highly nontrivial to devise an efficientsequence of physical gates implementing the algorithm on real hardware andincorporating topological quantum error correction. In this paper, we present afirst step towards this goal, focusing on generating correct and simplearrangements of topological structures that correspond to a given quantumcircuit and largely neglecting their efficiency. We detail the many challengesthat will need to be tackled in the pursuit of efficiency. The software sourcecode can be consulted at https://github.com/alexandrupaler/tqec.
Paler, A, Wille, R & Devitt, SJ 2016, 'Wire Recycling for Quantum Circuit Optimization', Phys. Rev. A, vol. 94, no. 4, p. 042337.
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Quantum information processing is expressed using quantum bits (qubits) andquantum gates which are arranged in the terms of quantum circuits. Here, eachqubit is associated to a quantum circuit wire which is used to conduct thedesired operations. Most of the existing quantum circuits allocate a singlequantum circuit wire for each qubit and, hence, introduce a significantoverhead. In fact, qubits are usually not needed during the entire computationbut only between their initialization and measurement. Before and after that,corresponding wires may be used by other qubits. In this work, we propose asolution which exploits this fact in order to optimize the design of quantumcircuits with respect to the required wires. To this end, we introduce arepresentation of the lifetimes of all qubits which is used to analyze therespective need for wires. Based on this analysis, a method is proposed which'recycles' the available wires and, by this, reduces the size of the resultingcircuit. Experimental evaluations based on established reversible andfault-tolerant quantum circuits confirm that the proposed solution reduces theamount of wires by more than 90% compared to unoptimized quantum circuits.
Palmer, S, Litvinova, K, Dunaev, A, Fleming, S, McGloin, D & Nabi, G 2016, 'Changes in autofluorescence based organoid model of muscle invasive urinary bladder cancer', Biomedical Optics Express, vol. 7, no. 4, pp. 1193-1193.
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Muscle invasive urinary bladder cancer is one of the most lethal cancers and its detection at the time of transurethral resection remains limited and diagnostic methods are urgently needed. We have developed a muscle invasive transitional cell carcinoma (TCC) model of the bladder using porcine bladder scaffold and the human bladder cancer cell line 5637. The progression of implanted cancer cells to muscle invasion can be monitored by measuring changes in the spectrum of endogenous fluorophores such as reduced nicotinamide dinucleotide (NADH) and flavins. We believe this could act as a useful tool for the study of fluorescence dynamics of developing muscle invasive bladder cancer in patients. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Pan, Y, Ni, B-J, Liu, Y & Guo, J 2016, 'Modeling of the interaction among aerobic ammonium-oxidizing archaea/bacteria and anaerobic ammonium-oxidizing bacteria', Chemical Engineering Science, vol. 150, pp. 35-40.
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© 2016 Elsevier Ltd. Biological nitrogen removal by using a co-culture of Anammox bacteria, ammonia-oxidizing archaea (AOA) and (ammonia-oxidizing bacteria) AOB microorganisms in a sequencing batch reactor (SBR) has previously been demonstrated experimentally. In this work, a mathematical model is developed to describe the microbial interaction among AOA, AOB and Anammox bacteria in the single-stage SBR and provide the first insights on the key role of AOA in such system. In this model, AOA and AOB jointly convert ammonium to nitrite partially, which provides electron acceptors to Anammox bacteria to oxidize the remaining ammonium forming dinitrogen gas. The model is successfully calibrated and validated using the long-term (around 350 days) dynamic experimental data from the SBR system, as well as two independent batch tests at different operational stages of the SBR. The model satisfactorily describes the nitrogen conversion data from the system. Modeling results show that AOA would outcompete AOB under low ammonium concentration and low dissolved oxygen conditions due to the revealed higher NH4+ affinity (KNH4AOA of 0.06 g N m-3) and thus higher ammonia oxidation rate under oxygen-limited conditions, indicating that AOA could be a better partner to Anammox bacteria compared to AOB when treating low strength nitrogen sewage. The developed model could also predict and distinguish the different contributions of AOA and AOB to overall aerobic ammonia oxidizing potential, with more than 50% of ammonia oxidation being mediated by AOB at initial stage (~300 days) and AOA being responsible for up to 90% of the ammonium removal afterwards. The results suggest AOA coupled with Anammox could provide new possibilities for biological nitrogen removal from low strength ammonium wastewater.
Pan, Y, van den Akker, B, Ye, L, Ni, B-J, Watts, S, Reid, K & Yuan, Z 2016, 'Unravelling the spatial variation of nitrous oxide emissions from a step-feed plug-flow full scale wastewater treatment plant', SCIENTIFIC REPORTS, vol. 6, no. 1, pp. 1-10.
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Plug-flow activated sludge reactors (ASR) that are step-feed with wastewater are widely adopted in wastewater treatment plants (WWTPs) due to their ability to maximise the use of the organic carbon in wastewater for denitrification. Nitrous oxide (N2O) emissions are expected to vary along these reactors due to pronounced spatial variations in both biomass and substrate concentrations. However, to date, no detailed studies have characterised the impact of the step-feed configuration on emission variability. Here we report on the results from a comprehensive online N2O monitoring campaign, which used multiple gas collection hoods to simultaneously measure emission along the length of a full-scale, step-fed, plug-flow ASR in Australia. The measured N2O fluxes exhibited strong spatial-temporal variation along the reactor path. The step-feed configuration had a substantial influence on the N2O emissions, where the N2O emission factors in sections following the first and second step feed were 0.68% ± 0.09% and 3.5% ± 0.49% of the nitrogen load applied to each section. The relatively high biomass-specific nitrogen loading rate in the second section of the reactor was most likely cause of the high emissions from this section.
Pang, YL, Lim, S, Ong, HC & Chong, WT 2016, 'Research progress on iron oxide-based magnetic materials: Synthesis techniques and photocatalytic applications', Ceramics International, vol. 42, no. 1, pp. 9-34.
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Pang, YL, Lim, S, Ong, HC & Chong, WT 2016, 'Synthesis, characteristics and sonocatalytic activities of calcined γ-Fe2O3 and TiO2 nanotubes/γ-Fe2O3 magnetic catalysts in the degradation of Orange G', Ultrasonics Sonochemistry, vol. 29, pp. 317-327.
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Parsa-Pajouh, A, Fatahi, B & Khabbaz, H 2016, 'Experimental and Numerical Investigations to Evaluate Two-Dimensional Modeling of Vertical Drain–Assisted Preloading', International Journal of Geomechanics, vol. 16, no. 1.
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© 2015 American Society of Civil Engineers. In this study, the efficiency of proposed formulations for plane-strain modeling of vertical drain-assisted consolidation was evaluated. For this aim, the vertical drain-assisted preloading process was experimentally simulated using a fully instrumented large-scale Rowe cell. Nine pore-water-pressure transducers were installed in various locations to measure the changes in pore-water pressure during the test. Two pressure/volume controllers were connected to an infinite-volume controller to provide continuous water flow. Soft clays with predefined properties were used to form the intact and smear zones. A numerical code was developed by using the finite-difference program FLAC 2D to simulate the consolidation test. A numerical study was conducted to evaluate the efficiency of the proposed solutions for converting the axisymmetric state to a plane-strain condition and was subsequently compared with corresponding numerical analysis. From the results, it is observed that some of the proposed methods resulted in more accurate predictions of settlement and changes of pore-water pressure in the early stages of the consolidation process, whereas other proposed methods performed more accurately in the later stages of consolidation. Thus, three-dimensional modeling with actual soil-permeability properties to simulate the time-dependent behavior of soft soil improved with vertical drains is recommended.
Pasupathy, K, Berndt, M, Castel, A, Sanjayan, J & Pathmanathan, R 2016, 'Carbonation of a blended slag-fly ash geopolymer concrete in field conditions after 8 years', Construction and Building Materials, vol. 125, pp. 661-669.
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Pathirana, SW, Uy, B, Mirza, O & Zhu, X 2016, 'Bolted and welded connectors for the rehabilitation of composite beams', Journal of Constructional Steel Research, vol. 125, pp. 61-73.
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Recent research studies revealed that blind-bolts can be used to strengthen existing composite steel-concrete beams more efficiently and effectively than welded stud connectors. In the general retrofitting operation procedure, the holes created in the concrete slab of composite beams to fix shear connectors are finally backfilled with grout. However, it is clear from a review of the open literature that very few studies have been conducted on the behaviour of shear connectors in grout in retrofitted composite beams. This paper investigates the load-slip behaviour of blind-bolt and welded stud connectors in grout under retrofitted conditions both experimentally and numerically. A series of push-out test experiments was carried out based on the Eurocode 4. The behaviour of retrofitted push-out test specimens during the testing was simulated using Finite Element (FE) models. The concrete and grout properties were modelled by specifying damage criteria using the concrete damage plasticity (CDP) option available in ABAQUS. The effects of height:diameter ratio of the connectors and grout strength on the shear capacity of blind-bolt and welded stud connectors were verified using parametric FE analyses. A modified design equation was proposed to estimate the ultimate shear capacity of bolted connectors in grout. The shear connector properties such as shear resistance, stiffness, ductility and failure modes have been compared and discussed in detail by using the experimental and FE results. These results provide an extended understanding of the feasibility of utilising blind-bolts for retrofitting substandard composite beams.
Patten, T, Zillich, M, Fitch, R, Vincze, M & Sukkarieh, S 2016, 'Viewpoint Evaluation for Online 3-D Active Object Classification', IEEE Robotics and Automation Letters, vol. 1, no. 1, pp. 73-81.
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© 2015 IEEE. We present an end-to-end method for active object classification in cluttered scenes from RGB-D data. Our algorithms predict the quality of future viewpoints in the form of entropy using both class and pose. Occlusions are explicitly modeled in predicting the visible regions of objects, which modulates the corresponding discriminatory value of a given view. We implement a one-step greedy planner and demonstrate our method online using a mobile robot. We also analyze the performance of our method compared to similar strategies in simulated execution using the Willow Garage dataset. Results show that our active method usefully reduces the number of views required to accurately classify objects in clutter as compared to traditional passive perception.
Paulraj, D, Swamynathan, S, Chandran, D, Balasubadra, K & Prem, MV 2016, 'Service Composition and Execution Plan Generation of Composite Semantic WEB Services Using Abductive Event Calculus', Computational Intelligence, vol. 32, no. 4, pp. 711-737.
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Web Service composition is indispensable, as a single web service cannot satisfy the complex functional requirement of a user. The two key challenges of semantic web service composition are the discovery of the most relevant atomic services from the composite semantic web services and by no means we can assure the execution of the composed atomic services in a proper order. In this work, these two challenges are addressed, and a novel architecture is proposed for atomic service discovery, composition and automatic plan generation for the proper execution of its candidate services. The proposed architecture takes the advantage of abductive event calculus that uses abductive theorem prover to generate a plan for the proper order of execution of the atomic services. The research has found that the plan generated by the proposed architecture is sound and complete.
Pavesi, A, Adriani, G, Tay, A, Warkiani, ME, Yeap, WH, Wong, SC & Kamm, RD 2016, 'Engineering a 3D microfluidic culture platform for tumor-treating field application', Scientific Reports, vol. 6, no. 1, p. 26584.
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AbstractThe limitations of current cancer therapies highlight the urgent need for a more effective therapeutic strategy. One promising approach uses an alternating electric field; however, the mechanisms involved in the disruption of the cancer cell cycle as well as the potential adverse effects on non-cancerous cells must be clarified. In this study, we present a novel microfluidic device with embedded electrodes that enables the application of an alternating electric field therapy to cancer cells in a 3D extracellular matrix. To demonstrate the potential of our system to aid in designing and testing new therapeutic approaches, cancer cells and cancer cell aggregates were cultured individually or co-cultured with endothelial cells. The metastatic potential of the cancer cells was reduced after electric field treatment. Moreover, the proliferation rate of the treated cancer cells was lower compared with that of the untreated cells, whereas the morphologies and proliferative capacities of the endothelial cells were not significantly affected. These results demonstrate that our novel system can be used to rapidly screen the effect of an alternating electric field on cancer and normal cells within an in vivo-like microenvironment with the potential to optimize treatment protocols and evaluate synergies between tumor-treating field treatment and chemotherapy.
Payne, T, Mitchell, S, Halkon, B & Bibb, R 2016, 'A systematic approach to the characterisation of human impact injury scenarios in sport', BMJ Open Sport & Exercise Medicine, vol. 2, no. 1, pp. e000017-e000017.
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Background
In contact sports (eg, American football or rugby), injuries resulting from impacts are widespread. There have been several attempts to identify and collate, within a conceptual framework, factors influencing the likelihood of an injury. To effectively define an injury event it is necessary to systematically consider all potential causal factors but none of the previous approaches are complete in this respect.
Aims
First, to develop a superior deterministic contextual sequential (DCS) model to promote a complete and logical description of interrelated injury event factors. Second, to demonstrate systematic use of the model to construct enhanced perspectives for impact-injury research.
Method
Previous models were examined and elements of best practice synthesised into a new DCS framework description categorising the types of causal factors influencing injury. The approach's internal robustness is demonstrated by consideration of its completeness, lack of redundancy and logical consistency.
Results
The model's external validity and worth are demonstrated through its use to generate superior descriptive injury models, experimental protocols and intervention opportunities. Comprehensive research perspectives have been developed using a common rugby impact-injury scenario as an example; this includes: a detailed description of the injury event, an experimental protocol for a human-on-surrogate reconstruction, and a series of practical interventions in the sport of rugby aimed at mitigating the risk of injury.
Conclusions
Our improved characterisation tool presents a structured approach to identify pertinent factors relating to an injury.
Payne, T, Mitchell, S, Halkon, B, Bibb, R & Waters, M 2016, 'Development of a synthetic human thigh impact surrogate for sports personal protective equipment testing', Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, vol. 230, no. 1, pp. 5-16.
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Synthetic impact surrogates are widely used in the sporting goods industry in the evaluation of personal protective equipment. Existing surrogates, exemplified by those used in safety standards, have many shortcomings, primarily relating to their mass, stiffness, geometries and levels of constraint which limit their biofidelity and subsequent usefulness in personal protective equipment evaluations. In sports, absence from competition is a primary severity measure for injuries; consequently, blunt trauma injuries, such as contusions and lacerations, become pertinent and serious concerns. It is important, therefore, that synthetic surrogates provide an adequate description of these soft tissues to effectively evaluate injury risk. A novel, multi-material human thigh surrogate has been presented with consideration to the tissue structures, geometries and simulant materials used. This study presents the detailed development stages undertaken to fabricate a multi-material synthetic soft tissue surrogate with skin, subcutaneous adipose and muscle tissue components. The resultant surrogate demonstrates the successful use of sequential moulding techniques to construct a full-scale anatomical human impact surrogate which can be used in personal protective equipment testing.
Peng, F, Lu, J, Wang, Y, Xu, RY-D, Ma, C & Yang, J 2016, 'N -dimensional Markov random field prior for cold-start recommendation', Neurocomputing, vol. 191, pp. 187-199.
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© 2016 Elsevier B.V. A recommender system is a commonly used technique to improve user experience in e-commerce applications. One of the popular recommender methods is Matrix Factorization (MF) that learns the latent profile of both users and items. However, if the historical ratings are not available, the latent profile will draw from a zero-mean Gaussian prior, resulting in uninformative recommendations. To deal with this issue, we propose using an n-dimensional Markov random field as the prior of matrix factorization (called mrf-MF). In the Markov random field, the attribute (such as age, occupation of users and genre, release year of items) is considered as the site and the latent profile, the random variable. Through the prior, new users or items will be recommended according to its neighbors. The proposed model is suitable for three types of cold-start recommendation: (1) recommend new items to existing users; (2) recommend new users for existing items; (3) recommend new items to new users. The proposed model is assessed on two movie datasets, Movielens 100K and Movielens 1M. Experimental results show that it can effectively solve each of the three cold-start problems and outperforms several matrix factorization based methods.
Peng, L & Stewart, MG 2016, 'Climate change and corrosion damage risks for reinforced concrete infrastructure in China', Structure and Infrastructure Engineering, vol. 12, no. 4, pp. 499-516.
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A changing climate which leads to increases in atmospheric CO2 concentration, and changes in temperature and relative humidity (RH), especially in the longer term, will accelerate the deterioration processes and consequently decline the safety, serviceability and durability of reinforced concrete (RC) infrastructure. This paper presents an investigation of carbonation-induced deterioration in three typical Chinese cities (Kunming, Xiamen and Jinan) under a changing climate. The changing trends of atmospheric CO2, local temperature and RH of typical Chinese cities are projected based on the latest CO2 emission scenarios. The time-dependent analysis is based on Monte Carlo simulation, and includes the uncertainty of climate projections, deterioration processes, material properties, dimensions and accuracy of predictive models. Deterioration of RC structures is represented by the probabilities of reinforcement corrosion initiation and damage. It was found that the mean carbonation depths by 2100 may increase by up to 45% for RC structures in China due to a changing climate. It was also found that climate change can cause an additional 7–20% of carbonation-induced damage by 2100 for RC buildings in temperate or cold climate areas in China. The findings provide a basis for the development of climate adaptation strategies through the improved design of concrete structures.
Peng, L, Liu, Y & Ni, B-J 2016, 'Nitrous oxide production in completely autotrophic nitrogen removal biofilm process: A simulation study', Chemical Engineering Journal, vol. 287, pp. 217-224.
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© 2015 Elsevier B.V. The dissolved oxygen (DO) concentration is known to be one of the most important factors affecting nitrous oxide (N2O) production, which might weaken the advantages of nitrogen removal in completely autotrophic nitrogen removal biofilm process. In this work, a mathematical model is applied to study the N2O production in a biofilm reactor performing nitritation followed by anaerobic ammonium oxidation (Anammox) for nitrogen removal. The nitrifier denitrification pathway through utilization of nitrite as the terminal electron acceptor under oxygen limiting conditions is used to predict N2O production. Simulations explicitly show that a large number of N2O is produced under conditions of low DO concentration for high nitrogen removal. A low ammonium concentration (<50mgNL-1) and a suitable DO level (at around 0.5mgO2L-1) could lead to high total nitrogen (TN) removal with a low N2O production. Biofilm has to be controlled to be in the optimal thickness (1000μm under the simulating conditions of this study), which allows relatively high TN removal, avoiding higher thickness that favors N2O production.
Peng, L, Liu, Y, Gao, S-H, Chen, X & Ni, B-J 2016, 'Evaluating simultaneous chromate and nitrate reduction during microbial denitrification processes', Water Research, vol. 89, pp. 1-8.
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© 2015 Elsevier Ltd. Sulfur-based autotrophic denitrification and heterotrophic denitrification have been demonstrated to be promising technological processes for simultaneous removal of nitrate (NO3-) and chromate (Cr (VI)), two common contaminants in surface and ground waters. In this work, a mathematical model was developed to describe and evaluate the microbial and substrate interactions among sulfur oxidizing denitrifying organism, methanol-based heterotrophic denitrifiers and chromate reducing bacteria in the biofilm systems for simultaneous nitrate and chromate removal. The concomitant multiple chromate reduction pathways by these microbes were taken into account in this model. The validity of the model was tested using experimental data from three independent biofilm reactors under autotrophic, heterotrophic and mixotrophic conditions. The model sufficiently described the nitrate, chromate, methanol, and sulfate dynamics under varying conditions. The modeling results demonstrated the coexistence of sulfur-oxidizing denitrifying bacteria and heterotrophic denitrifying bacteria in the biofilm under mixotrophic conditions, with chromate reducing bacteria being outcompeted. The sulfur-oxidizing denitrifying bacteria substantially contributed to both nitrate and chromate reductions although heterotrophic denitrifying bacteria dominated in the biofilm. The mixotrophic denitrification could improve the tolerance of autotrophic denitrifying bacteria to Cr (VI) toxicity. Furthermore, HRT would play an important role in affecting the microbial distribution and system performance, with HRT of higher than 0.15 day being critical for a high level removal of nitrate and chromate (over 90%).
Peng, L, Ni, B-J, Law, Y & Yuan, Z 2016, 'Modeling N2O production by ammonia oxidizing bacteria at varying inorganic carbon concentrations by coupling the catabolic and anabolic processes', Chemical Engineering Science, vol. 144, pp. 386-394.
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Several mathematical models have been proposed to describe nitrous oxide (N2O) production by ammonia oxidizing bacteria (AOB) under varying operational conditions. However, none of these N2O models are able to capture N2O dynamics caused by the variation of inorganic carbon (IC) concentration, which has recently been demonstrated to be a significant factor influencing N2O production by AOB. In this work, a mathematical model that describes the effect of IC on N2O production by AOB is developed and experimentally validated. The IC effect is considered by explicitly including the AOB anabolic process in the model, which is coupled to the catabolic process with the use of the Adenosine triphosphate (ATP) and Adenosine diphosphate (ADP) pools. The calibration and validation of the model were conducted using experimental data obtained with two independent cultures, including a full nitrification culture and a partial nitritation culture. The model satisfactorily describes the N2O data from both systems at varying IC concentrations. This new model enhances our ability to predict N2O production by AOB in wastewater treatment systems under varying IC conditions.
Peng, L, Sun, J, Liu, Y, Dai, X & Ni, B-J 2016, 'Nitrous Oxide Production in Co- Versus Counter-Diffusion Nitrifying Biofilms', Scientific Reports, vol. 6, no. 1.
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AbstractFor the application of biofilm processes, a better understanding of nitrous oxide (N2O) formation within the biofilm is essential for design and operation of biofilm reactors with minimized N2O emissions. In this work, a previously established N2O model incorporating both ammonia oxidizing bacteria (AOB) denitrification and hydroxylamine (NH2OH) oxidation pathways is applied in two structurally different biofilm systems to assess the effects of co- and counter-diffusion on N2O production. It is demonstrated that the diffusion of NH2OH and oxygen within both types of biofilms would form an anoxic layer with the presence of NH2OH and nitrite ( 'Equation missing'), which would result in a high N2O production via AOB denitrification pathway. As a result, AOB denitrification pathway is dominant over NH2OH oxidation pathway within the co- and counter-diffusion biofilms. In comparison, the co-diffusion biofilm may generate substantially higher N2O than the counter-diffusion biofilm due to the higher accumulation of NH2OH in co-diffusion biofilm, especially under the condition of high-strength ammonium influent (500 mg N/L), thick biofilm depth (300 μm) and moderate oxygen loading (~1–~4 m3/d). The effect of co- and counter-diffusion on N2O production from the AOB biofilm is minimal when treating low-strength nitrogenous wastewater.
Percival, J & McGregor, C 2016, 'An Evaluation of Understandability of Patient Journey Models in Mental Health', JMIR Human Factors, vol. 3, no. 2, pp. e20-e20.
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BACKGROUND: There is a significant trend toward implementing health information technology to reduce administrative costs and improve patient care. Unfortunately, little awareness exists of the challenges of integrating information systems with existing clinical practice. The systematic integration of clinical processes with information system and health information technology can benefit the patients, staff, and the delivery of care. OBJECTIVES: This paper presents a comparison of the degree of understandability of patient journey models. In particular, the authors demonstrate the value of a relatively new patient journey modeling technique called the Patient Journey Modeling Architecture (PaJMa) when compared with traditional manufacturing based process modeling tools. The paper also presents results from a small pilot case study that compared the usability of 5 modeling approaches in a mental health care environment. METHOD: Five business process modeling techniques were used to represent a selected patient journey. A mix of both qualitative and quantitative methods was used to evaluate these models. Techniques included a focus group and survey to measure usability of the various models. RESULTS: The preliminary evaluation of the usability of the 5 modeling techniques has shown increased staff understanding of the representation of their processes and activities when presented with the models. Improved individual role identification throughout the models was also observed. The extended version of the PaJMa methodology provided the most clarity of information flows for clinicians. CONCLUSIONS: The extended version of PaJMa provided a significant improvement in the ease of interpretation for clinicians and increased the engagement with the modeling process. The use of color and its effectiveness in distinguishing the representation of roles was a key feature of the framework not present in other modeling approaches. Future research should focus on exte...
Perera, D, Poulos, RC, Shah, A, Beck, D, Pimanda, JE & Wong, JWH 2016, 'Differential DNA repair underlies mutation hotspots at active promoters in cancer genomes', NATURE, vol. 532, no. 7598, pp. 259-+.
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© 2016 Macmillan Publishers Limited. Promoters are DNA sequences that have an essential role in controlling gene expression. While recent whole cancer genome analyses have identified numerous hotspots of somatic point mutations within promoters, many have not yet been shown to perturb gene expression or drive cancer development. As such, positive selection alone may not adequately explain the frequency of promoter point mutations in cancer genomes. Here we show that increased mutation density at gene promoters can be linked to promoter activity and differential nucleotide excision repair (NER). By analysing 1,161 human cancer genomes across 14 cancer types, we find evidence for increased local density of somatic point mutations within the centres of DNase I-hypersensitive sites (DHSs) in gene promoters. Mutated DHSs were strongly associated with transcription initiation activity, in which active promoters but not enhancers of equal DNase I hypersensitivity were most mutated relative to their flanking regions. Notably, analysis of genome-wide maps of NER shows that NER is impaired within the DHS centre of active gene promoters, while XPC-deficient skin cancers do not show increased promoter mutation density, pinpointing differential NER as the underlying cause of these mutation hotspots. Consistent with this finding, we observe that melanomas with an ultraviolet-induced DNA damage mutation signature show greatest enrichment of promoter mutations, whereas cancers that are not highly dependent on NER, such as colon cancer, show no sign of such enrichment. Taken together, our analysis has uncovered the presence of a previously unknown mechanism linking transcription initiation and NER as a major contributor of somatic point mutation hotspots at active gene promoters in cancer genomes.
Perreault, F, Jaramillo, H, Xie, M, Ude, M, Nghiem, LD & Elimelech, M 2016, 'Biofouling Mitigation in Forward Osmosis Using Graphene Oxide Functionalized Thin-Film Composite Membranes', Environmental Science & Technology, vol. 50, no. 11, pp. 5840-5848.
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Pfister, C, Rol, MA, Mantri, A, Tomamichel, M & Wehner, S 2016, 'Capacity estimation and verification of quantum channels with arbitrarily correlated errors', Nature Communications, vol. 9, no. 1, pp. 27-27.
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One of the main figures of merit for quantum memories and quantumcommunication devices is their quantum capacity. It has been studied forarbitrary kinds of quantum channels, but its practical estimation has so farbeen limited to devices that implement independent and identically distributed(i.i.d.) quantum channels, where each qubit is affected by the same noiseprocess. Real devices, however, typically exhibit correlated errors. Here, we overcome this limitation by presenting protocols that estimate achannel's one-shot quantum capacity for the case where the device acts on (anarbitrary number of) qubits. The one-shot quantum capacity quantifies adevice's ability to store or communicate quantum information, even if there arecorrelated errors across the different qubits. We present a protocol which is easy to implement and which comes in twoversions. The first version estimates the one-shot quantum capacity bypreparing and measuring in two different bases, where all involved qubits areused as test qubits. The second version verifies on-the-fly that a channel'sone-shot quantum capacity exceeds a minimal tolerated value while storing orcommunicating data, therefore combining test qubits and data qubits in oneprotocol. We discuss the performance of our method using simple examples, suchas the dephasing channel for which our method is asymptotically optimal.Finally, we apply our method to estimate the one-shot capacity in an experimentusing a transmon qubit.
Pham, BT, Pradhan, B, Tien Bui, D, Prakash, I & Dholakia, MB 2016, 'A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)', Environmental Modelling & Software, vol. 84, pp. 240-250.
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Landslide susceptibility assessment of Uttarakhand area of India has been done by applying five machine learning methods namely Support Vector Machines (SVM), Logistic Regression (LR), Fisher's Linear Discriminant Analysis (FLDA), Bayesian Network (BN), and Naïve Bayes (NB). Performance of these methods has been evaluated using the ROC curve and statistical index based methods. Analysis and comparison of the results show that all five landslide models performed well for landslide susceptibility assessment (AUC = 0.910–0.950). However, it has been observed that the SVM model (AUC = 0.950) has the best performance in comparison to other landslide models, followed by the LR model (AUC = 0.922), the FLDA model (AUC = 0.921), the BN model (AUC = 0.915), and the NB model (AUC = 0.910), respectively.
Pham, HM, Nguyen, ND, Center, JR, Eisman, JA & Nguyen, TV 2016, 'Contribution of Quadriceps Weakness to Fragility Fracture: A Prospective Study', Journal of Bone and Mineral Research, vol. 31, no. 1, pp. 208-214.
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ABSTRACT The association between muscle weakness and fracture is not well understood. This study sought to examine the contribution of muscle strength at baseline and change in muscle strength to the observed risk of fragility fracture in older people. The study involved 595 men and 1066 women aged 60+ years (median 69 years) who had been followed for a median of 11 years (range, 4 to 22 years). Quadriceps isometric muscle strength (MS) measured at baseline and biennially was adjusted for height. Femoral neck bone mineral density (FNBMD) was measured by DXA. Low-trauma fracture was ascertained from X-ray reports and interview. The relationship between baseline MS and serial MS and fracture assessed by time-invariant and time-variant Cox's regression models was expressed as hazard ratio (HR) and 95% confidence interval (CI). During the follow-up period, 282 (26%) women and 89 (15%) men sustained a fragility fracture. From age 60 years, women lost 0.28 kg/m (1.6%) of MS per year, whereas men lost 0.39 kg/m (1.5%) of MS per year. In the time-variant model, using serial MS, each 1 SD (4.7 kg/m) lower MS was associated with a 27% increase in the risk of fracture in women (HR 1.27; 95% CI, 1.11 to 1.43); and 46% increase in men (HR 1.46; 95% CI, 1.22 to 1.75). After adjusting for FNBMD, age and prior fracture, history of fall and smoking, HR per SD of lower MS was 1.13 (95% CI, 0.99 to 1.28) for women and 1.35 (95% CI, 1.18 to 1.64) for men. These data indicate that muscle weakness is an independent determinant of fracture risk in men, but not in women. This sex difference suggests that apart from mechanical load effect of muscle on bone, there are other muscle-bone interactions that need to be investigated in future studies. The accuracy of fracture risk prediction for men may be improved by incorporating muscle strength. © 2015 American ...
Phan, HV, McDonald, JA, Hai, FI, Price, WE, Khan, SJ, Fujioka, T & Nghiem, LD 2016, 'Biological performance and trace organic contaminant removal by a side-stream ceramic nanofiltration membrane bioreactor', International Biodeterioration & Biodegradation, vol. 113, pp. 49-56.
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Phuntsho, S, Kim, JE, Johir, MAH, Hong, S, Li, Z, Ghaffour, N, Leiknes, T & Shon, HK 2016, 'Fertiliser drawn forward osmosis process: Pilot-scale desalination of mine impaired water for fertigation', Journal of Membrane Science, vol. 508, pp. 22-31.
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© 2016 Elsevier B.V. The pilot-scale fertiliser driven forward osmosis (FDFO) and nanofiltration (NF) system was operated in the field for about six months for the desalination of saline groundwater from the coal mining activities. Long-term operation of the FDFO-NF system indicates that simple hydraulic cleaning could effectively restore the water flux with minimal chemical cleaning frequency. No fouling/scaling issues were encountered with the NF post-treatment process. The study indicates that, FDFO-NF desalination system can produce water quality that meets fertigation standard. This study also however shows that, the diffusion of solutes (both feed and draw) through the cellulose triacetate (CTA) FO membrane could be one of the major issues. The FO feed brine failed to meet the effluent discharge standard for NH4+ and SO42+ (reverse diffusion) and their concentrations are expected to further increase at higher feed recovery rates. Low rejection of feed salts (Na+, Cl-) by FO membrane may result in their gradual build-up in the fertiliser draw solution (DS) in a closed FDFO-NF system eventually affecting the final water quality unless it is balanced by adequate bleeding from the system through NF and re-reverse diffusion towards the FO feed brine. Therefore, FO membrane with higher reverse flux selectivity than the CTA-FO membrane used in this study is necessary for the application of the FDFO desalination process.
Pietroni, N, Puppo, E, Marcias, G, Roberto, R & Cignoni, P 2016, 'Tracing Field-Coherent Quad Layouts.', Comput. Graph. Forum, vol. 35, pp. 485-496.
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Piggin, CL, Roden, DL, Gallego-Ortega, D, Lee, HJ, Oakes, SR & Ormandy, CJ 2016, 'ELF5 isoform expression is tissue-specific and significantly altered in cancer', Breast Cancer Research, vol. 18, no. 1, p. 4.
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BACKGROUND: E74-like factor 5 (ELF5) is an epithelial-specific member of the E26 transforming sequence (ETS) transcription factor family and a critical regulator of cell fate in the placenta, pulmonary bronchi, and milk-producing alveoli of the mammary gland. ELF5 also plays key roles in malignancy, particularly in basal-like and endocrine-resistant forms of breast cancer. Almost all genes undergo alternative transcription or splicing, which increases the diversity of protein structure and function. Although ELF5 has multiple isoforms, this has not been considered in previous studies of ELF5 function. METHODS: RNA-sequencing data for 6757 samples from The Cancer Genome Atlas were analyzed to characterize ELF5 isoform expression in multiple normal tissues and cancers. Extensive in vitro analysis of ELF5 isoforms, including a 116-gene quantitative polymerase chain reaction panel, was performed in breast cancer cell lines. RESULTS: ELF5 isoform expression was found to be tissue-specific due to alternative promoter use but altered in multiple cancer types. The normal breast expressed one main isoform, while in breast cancer there were subtype-specific alterations in expression. Expression of other ETS factors was also significantly altered in breast cancer, with the basal-like subtype demonstrating a distinct ETS expression profile. In vitro inducible expression of the full-length isoforms 1 and 2, as well as isoform 3 (lacking the Pointed domain) had similar phenotypic and transcriptional effects. CONCLUSIONS: Alternative promoter use, conferring differential regulatory responses, is the main mechanism governing ELF5 action rather than differential transcriptional activity of the isoforms. This understanding of expression and function at the isoform level is a vital first step in realizing the potential of transcription factors such as ELF5 as prognostic markers or therapeutic targets in cancer.
Pilav-Velic, A & Marjanovic, O 2016, 'Integrating open innovation and business process innovation: Insights from a large-scale study on a transition economy.', Inf. Manag., vol. 53, no. 3, pp. 398-408.
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Pileggi, SF 2016, 'Is Big Data the New ?God? on Earth? [Opinion]', IEEE Technology and Society Magazine, vol. 35, no. 1, pp. 18-20.
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Pokhrel, A, Li, JC, Li, YC, Maksis, N & Yu, Y 2016, 'Comparative Studies of Base Isolation Systems Featured with Lead Rubber Bearings and Friction Pendulum Bearings', Applied Mechanics and Materials, vol. 846, pp. 114-119.
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Due to the fact that safety is the major concern for civil structures in a seismic active zone, it has always been a challenge for structural engineers to protect structures from earthquake. During past several decades base isolation technique has become more and more popular in the field of seismic protection which can be adopted for new structures as well as the retrofit of existing structures. The objective of this study is to evaluate the behaviours of the building with different seismic isolation systems in terms of roof acceleration, elastic base shear and inter-storey drift under four benchmark earthquakes, namely, El Centro, Northridge, Hachinohe and Kobe earthquakes. Firstly, the design of base isolation systems, i.e. lead rubber bearing (LRB) and friction pendulum bearing (FPB) for five storey RC building was introduced in detail. The non-linear time history analysis was performed in order to determine the structural responses whereas Bouc-Wen Model of hysteresis was adopted for modelling the bilinear behaviour of the bearings. Both isolation systems increase the fundamental period of structures and reduces the spectral acceleration, and hence reduces the lateral force cause by earthquake in the structures, resulting in significant improvement in building performance; however the Lead Rubber Bearing provided the best reduction in elastic base shear and inter-storey drift (at first floor) for most of the benchmark earthquakes. For the adopted bearing characteristics, FPB provided the low isolator displacement.
Polhill, JG, Filatova, T, Schlüter, M & Voinov, A 2016, 'Modelling systemic change in coupled socio-environmental systems', Environmental Modelling & Software, vol. 75, pp. 318-332.
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Polhill, JG, Filatova, T, Schlüter, M & Voinov, A 2016, 'Preface to the thematic issue on modelling systemic change in coupled socio-environmental systems', Environmental Modelling & Software, vol. 75, pp. 317-317.
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Polonchuk, L, Chabria, M, Davies, MJ & Gentile, C 2016, 'Doxorubicin-Mediated Toxic Effects Are Mediated Via NO/eNOS in a Novel 3D in Vitro Model of the Human Heart', Free Radical Biology and Medicine, vol. 100, pp. S142-S142.
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Polwaththe-Gallage, H-N, Saha, SC, Sauret, E, Flower, R & Gu, Y 2016, 'A coupled SPH-DEM approach to model the interactions between multiple red blood cells in motion in capillaries', International Journal of Mechanics and Materials in Design, vol. 12, no. 4, pp. 477-494.
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Red blood cells (RBCs) are the most common type of blood cells in the blood and 99 % of the blood cells are RBCs. During the circulation of blood in the cardiovascular network, RBCs squeeze through the tiny blood vessels (capillaries). They exhibit various types of motions and deformed shapes, when flowing through these capillaries with diameters varying between 5 and 10 µm. RBCs occupy about 45 % of the whole blood volume and the interaction between the RBCs directly influences on the motion and the deformation of the RBCs. However, most of the previous numerical studies have explored the motion and deformation of a single RBC when the interaction between RBCs has been neglected. In this study, motion and deformation of two 2D (two-dimensional) RBCs in capillaries are comprehensively explored using a coupled smoothed particle hydrodynamics (SPH) and discrete element method (DEM) model. In order to clearly model the interactions between RBCs, only two RBCs are considered in this study even though blood with RBCs is continuously flowing through the blood vessels. A spring network based on the DEM is employed to model the viscoelastic membrane of the RBC while the inside and outside fluid of RBC is modelled by SPH. The effect of the initial distance between two RBCs, membrane bending stiffness (Kb) of one RBC and undeformed diameter of one RBC on the motion and deformation of both RBCs in a uniform capillary is studied. Finally, the deformation behavior of two RBCs in a stenosed capillary is also examined. Simulation results reveal that the interaction between RBCs has significant influence on their motion and deformation.
Polwaththe-Gallage, H-N, Saha, SC, Sauret, E, Flower, R, Senadeera, W & Gu, Y 2016, 'SPH-DEM approach to numerically simulate the deformation of three-dimensional RBCs in non-uniform capillaries', BioMedical Engineering OnLine, vol. 15, no. S2.
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© 2016 The Author(s). Background: Blood continuously flows through the blood vessels in the human body. When blood flows through the smallest blood vessels, red blood cells (RBCs) in the blood exhibit various types of motion and deformed shapes. Computational modelling techniques can be used to successfully predict the behaviour of the RBCs in capillaries. In this study, we report the application of a meshfree particle approach to model and predict the motion and deformation of three-dimensional RBCs in capillaries. Methods: An elastic spring network based on the discrete element method (DEM) is employed to model the three-dimensional RBC membrane. The haemoglobin in the RBC and the plasma in the blood are modelled as smoothed particle hydrodynamics (SPH) particles. For validation purposes, the behaviour of a single RBC in a simple shear flow is examined and compared against experimental results. Then simulations are carried out to predict the behaviour of RBCs in a capillary; (i) the motion of five identical RBCs in a uniform capillary, (ii) the motion of five identical RBCs with different bending stiffness (K b ) values in a stenosed capillary, (iii) the motion of three RBCs in a narrow capillary. Finally five identical RBCs are employed to determine the critical diameter of a stenosed capillary. Results: Validation results showed a good agreement with less than 10% difference. From the above simulations, the following results are obtained; (i) RBCs exhibit different deformation behaviours due to the hydrodynamic interaction between them. (ii) Asymmetrical deformation behaviours of the RBCs are clearly observed when the bending stiffness (K b ) of the RBCs is changed. (iii) The model predicts the ability of the RBCs to squeeze through smaller blood vessels. Finally, from the simulations, the critical diameter of the stenosed section to stop the motion of blood flow is predicted. Conclusions: A three-dimensional spring network model based on DEM in com...
Popuri, SR, Pollet, M, Decourt, R, Morrison, FD, Bennett, NS & Bos, JWG 2016, 'Large thermoelectric power factors and impact of texturing on the thermal conductivity in polycrystalline SnSe', Journal of Materials Chemistry C, vol. 4, no. 8, pp. 1685-1691.
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Large thermoelectric power factors and low thermal conductivities linked to changes in texturing have been observed in consolidated polycrystalline SnSe ingots.
Porter, SH, Xiong, J, Avdeev, M, Merz, D, Woodward, PM & Huang, Z 2016, 'Structural, Magnetic, and Optical Properties of A3V4(PO4)6 (A = Mg, Mn, Fe, Co, Ni)', Inorganic Chemistry, vol. 55, no. 12, pp. 5772-5779.
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Combined synchrotron and neutron powder diffraction indicates that A3V4(PO4)6 (A = Mg, Mn, Fe, Co, Ni) compounds crystallize with triclinic P1̅ symmetry. Lattice parameters expand as expected with successive increases in the ionic radius of the A(2+) ion. Cation disorder on the octahedral sites increases as the ionic radii of A(2+) ion decreases. Direct-current magnetic susceptibility measurements indicate that all compounds with magnetic A(2+) ions order anti-ferromagnetically with transition temperatures ranging from 12 to 15 K. Effective magnetic moments for A3V4(PO4)6 (A = Mg, Mn, Fe, Co, Ni) are 5.16, 11.04, 10.08, 9.76, and 7.96 μB per formula unit, respectively, in line with calculated values for high-spin transition metal ions. With the exception of Co3V4(PO4)6 the ultraviolet-visible spectra are dominated by d-d transitions of the V(3+) ions. The striking emerald green color of Co3V4(PO4)6 arises from the combined effects of d-d transitions involving both V(3+) and Co(2+).
Pourahmad, AA, Neshat, M & Hasani, MR 2016, 'Using LibQUAL Model for Improving the Level of Students’ Satisfaction from Quality of Services in Academic Libraries: A Case Study in North Khorasan Province, Iran', Journal of Information & Knowledge Management, vol. 15, no. 01, pp. 1650011-1650011.
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The most important aim of the research is to evaluate and analyse the quality level of services of four different university libraries which are located in the North Khorasan province in Iran. The statistical populations included various students from different branches and they were chosen as samples. For collecting data, the survey method was applied; meanwhile, data collection tool, specific questionnaire were used since that each of the four components for quality estimation of services was calculated using LibQUAL tool. The mean total services for university libraries of North Khorasan were negative in terms of service fitness gap, which means that libraries were not capable of satisfying the minimum anticipation of their users. Interestingly, for all library services, gap was negative too. In other words, libraries are far from rewarding the expectations of students associated with the most desirable (maximum) level of services.
Pourghasemi, HR, Beheshtirad, M & Pradhan, B 2016, 'A comparative assessment of prediction capabilities of modified analytical hierarchy process (M-AHP) and Mamdani fuzzy logic models using Netcad-GIS for forest fire susceptibility mapping', Geomatics, Natural Hazards and Risk, vol. 7, no. 2, pp. 861-885.
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Pradeepkumar, A, Mishra, N, Kermany, AR, Boeckl, JJ, Hellerstedt, J, Fuhrer, MS & Iacopi, F 2016, 'Catastrophic degradation of the interface of epitaxial silicon carbide on silicon at high temperatures', Applied Physics Letters, vol. 109, no. 1, pp. 011604-011604.
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Epitaxial cubic silicon carbide on silicon is of high potential technological relevance for the integration of a wide range of applications and materials with silicon technologies, such as micro electro mechanical systems, wide-bandgap electronics, and graphene. The hetero-epitaxial system engenders mechanical stresses at least up to a GPa, pressures making it extremely challenging to maintain the integrity of the silicon carbide/silicon interface. In this work, we investigate the stability of said interface and we find that high temperature annealing leads to a loss of integrity. High–resolution transmission electron microscopy analysis shows a morphologically degraded SiC/Si interface, while mechanical stress measurements indicate considerable relaxation of the interfacial stress. From an electrical point of view, the diode behaviour of the initial p-Si/n-SiC junction is catastrophically lost due to considerable inter-diffusion of atoms and charges across the interface upon annealing. Temperature dependent transport measurements confirm a severe electrical shorting of the epitaxial silicon carbide to the underlying substrate, indicating vast predominance of the silicon carriers in lateral transport above 25 K. This finding has crucial consequences on the integration of epitaxial silicon carbide on silicon and its potential applications.
Pradeepkumar, A, Mishra, N, Kermany, AR, Boeckl, JJ, Hellerstedt, J, Fuhrer, MS & Iacopi, F 2016, 'Response to “Comment on ‘Catastrophic degradation of the interface of epitaxial silicon carbide on silicon at high temperatures’” [Appl. Phys. Lett. 109, 196101 (2016)]', Applied Physics Letters, vol. 109, no. 19, pp. 196102-196102.
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Pradhan, B, Abdullahi, S & Seddighi, Y 2016, 'Detection of urban environments using advanced land observing satellite phased array type L-band synthetic aperture radar data through different classification techniques', Journal of Applied Remote Sensing, vol. 10, no. 3, pp. 036029-036029.
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Pradhan, B, Jebur, MN, Shafri, HZM & Tehrany, MS 2016, 'Data Fusion Technique Using Wavelet Transform and Taguchi Methods for Automatic Landslide Detection From Airborne Laser Scanning Data and QuickBird Satellite Imagery', IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 3, pp. 1610-1622.
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Landslide mapping is indispensable for efficient land use management and planning. Landslide inventory maps must be produced for various purposes, such as to record the landslide magnitude in an area and to examine the distribution, types, and forms of slope failures. The use of this information enables the study of landslide susceptibility, hazard, and risk, as well as of the evolution of landscapes affected by landslides. In tropical countries, precipitation during the monsoon season triggers hundreds of landslides in mountainous regions. The preparation of a landslide inventory in such regions is a challenging task because of rapid vegetation growth. Thus, enhancing the proficiency of landslide mapping using remote sensing skills is a vital task. Various techniques have been examined by researchers. This study uses a robust data fusion technique that integrates high-resolution airborne laser scanning data (LiDAR) with high-resolution QuickBird satellite imagery (2.6-m spatial resolution) to identify landslide locations in Bukit Antarabangsa, Ulu Klang, Malaysia. This idea is applied for the first time to identify landslide locations in an urban environment in tropical areas. A wavelet transform technique was employed to achieve data fusion between LiDAR and QuickBird imagery. An object-oriented classification method was used to differentiate the landslide locations from other land use/covers. The Taguchi technique was employed to optimize the segmentation parameters, whereas the rule-based technique was used for object-based classification. In addition, to assess the impact of fusion in classification and landslide analysis, the rule-based classification method was also applied on original QuickBird data which have not been fused. Landslide locations were detected, and the confusion matrix was used to examine the proficiency and reliability of the results. The achieved overall accuracy and kappa coefficient were 90.06% and 0.84, respectively, for fus...
Pradhan, B, Tehrany, MS & Jebur, MN 2016, 'A New Semiautomated Detection Mapping of Flood Extent From TerraSAR-X Satellite Image Using Rule-Based Classification and Taguchi Optimization Techniques', IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 7, pp. 4331-4342.
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Floods are among the most destructive natural disasters worldwide. In flood disaster management programs, flood mapping is an initial step. This research proposes an efficient methodology to recognize and map flooded areas by using TerraSAR-X imagery. First, a TerraSAR-X satellite image was captured during a flood event in Kuala Terengganu, Malaysia, to map the inundated areas. Multispectral Landsat imagery was then used to detect water bodies prior to the flooding. In synthetic aperture radar (SAR) imagery, the water bodies and flood locations appear in black; thus, both objects were classified as one. To overcome this drawback, the class of the water bodies was extracted from the Landsat image and then subtracted from that extracted from the TerraSAR-X image. The remaining water bodies represented the flooded locations. Object-oriented classification and Taguchi method were implemented for both images. The Landsat images were categorized into three classes, namely, urban, vegetation, and water bodies. By contrast, only water bodies were extracted from the TerraSAR-X image. The classification results were then evaluated using a confusion matrix. To examine the efficiency of the proposed method, iterative self-organizing data analysis technique (ISODATA) classification method was applied on TerraSAR-X after employing the segmentation process during object-oriented-rule-based method, and the results were compared. The overall accuracy values of the classified maps derived from TerraSAR-X using the rule-based method and Landsat imagery were 86.18 and 93.04, respectively. Consequently, the flooded locations were recognized and mapped by subtracting the two classes of water bodies from these images. The acquired overall accuracy for TerraSAR-X using ISODATA was considerably low at only 57.98. The current research combined the methods and the optimization technique used as an innovative flood detection application. The successful production of a reliable and...
Pratama, M, Lu, J & Zhang, G 2016, 'Evolving Type-2 Fuzzy Classifier', IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 24, no. 3, pp. 574-589.
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© 1993-2012 IEEE. Evolving fuzzy classifiers (EFCs) have achieved immense success in dealing with nonstationary data streams because of their flexible characteristics. Nonetheless, most real-world data streams feature highly uncertain characteristics, which cannot be handled by the type-1 EFC. A novel interval type-2 fuzzy classifier, namely evolving type-2 classifier (eT2Class), is proposed in this paper, which constructs an evolving working principle in the framework of interval type-2 fuzzy system. The eT2Class commences its learning process from scratch with an empty or initially trained rule base, and its fuzzy rules can be automatically grown, pruned, recalled, and merged on the fly referring to summarization power and generalization power of data streams. In addition, the eT2Class is driven by a generalized interval type-2 fuzzy rule, where the premise part is composed of the multivariate Gaussian function with an uncertain nondiagonal covariance matrix, while employing a subset of the nonlinear Chebyshev polynomial as the rule consequents. The efficacy of the eT2Class has been rigorously assessed by numerous real-world and artificial study cases, benchmarked against state-of-The-Art classifiers, and validated through various statistical tests. Our numerical results demonstrate that the eT2Class produces more reliable classification rates, while retaining more compact and parsimonious rule base than state-of-The-Art EFCs recently published in the literature.
Pratama, M, Lu, J, Anavatti, S, Lughofer, E & Lim, C-P 2016, 'An incremental meta-cognitive-based scaffolding fuzzy neural network', NEUROCOMPUTING, vol. 171, pp. 89-105.
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Pratama, M, Lu, J, Lughofer, E, Zhang, G & Anavatti, S 2016, 'Scaffolding type-2 classifier for incremental learning under concept drifts', NEUROCOMPUTING, vol. 191, pp. 304-329.
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© 2016 Elsevier B.V. The proposal of a meta-cognitive learning machine that embodies the three pillars of human learning: what-to-learn, how-to-learn, and when-to-learn, has enriched the landscape of evolving systems. The majority of meta-cognitive learning machines in the literature have not, however, characterized a plug-and-play working principle, and thus require supplementary learning modules to be pre-or post-processed. In addition, they still rely on the type-1 neuron, which has problems of uncertainty. This paper proposes the Scaffolding Type-2 Classifier (ST2Class). ST2Class is a novel meta-cognitive scaffolding classifier that operates completely in local and incremental learning modes. It is built upon a multivariable interval type-2 Fuzzy Neural Network (FNN) which is driven by multivariate Gaussian function in the hidden layer and the non-linear wavelet polynomial in the output layer. The what-to-learn module is created by virtue of a novel active learning scenario termed the uncertainty measure; the how-to-learn module is based on the renowned Schema and Scaffolding theories; and the when-to-learn module uses a standard sample reserved strategy. The viability of ST2Class is numerically benchmarked against state-of-the-art classifiers in 12 data streams, and is statistically validated by thorough statistical tests, in which it achieves high accuracy while retaining low complexity.
Pratama, M, Zhang, G, Er, MJ & Anavatti, S 2016, 'An Incremental Type-2 Meta-Cognitive Extreme Learning Machine', IEEE Transactions on Cybernetics, vol. 47, no. 2, pp. 1-15.
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© 2016 IEEE. Existing extreme learning algorithm have not taken into account four issues: 1) complexity; 2) uncertainty; 3) concept drift; and 4) high dimensionality. A novel incremental type-2 meta-cognitive extreme learning machine (ELM) called evolving type-2 ELM (eT2ELM) is proposed to cope with the four issues in this paper. The eT2ELM presents three main pillars of human meta-cognition: 1) what-to-learn; 2) how-to-learn; and 3) when-to-learn. The what-to-learn component selects important training samples for model updates by virtue of the online certainty-based active learning method, which renders eT2ELM as a semi-supervised classifier. The how-to-learn element develops a synergy between extreme learning theory and the evolving concept, whereby the hidden nodes can be generated and pruned automatically from data streams with no tuning of hidden nodes. The when-to-learn constituent makes use of the standard sample reserved strategy. A generalized interval type-2 fuzzy neural network is also put forward as a cognitive component, in which a hidden node is built upon the interval type-2 multivariate Gaussian function while exploiting a subset of Chebyshev series in the output node. The efficacy of the proposed eT2ELM is numerically validated in 12 data streams containing various concept drifts. The numerical results are confirmed by thorough statistical tests, where the eT2ELM demonstrates the most encouraging numerical results in delivering reliable prediction, while sustaining low complexity.
Prationo, W & Zhang, L 2016, 'Influence of steam on ignition of Victorian brown coal particle stream in oxy-fuel combustion: In-situ diagnosis and transient ignition modelling', Fuel, vol. 181, pp. 1203-1213.
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Prukkanon, N, Chamnongthai, K & Miyanaga, Y 2016, 'F0 contour approximation model for a one-stream tonal word recognition system', AEU - International Journal of Electronics and Communications, vol. 70, no. 5, pp. 681-688.
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Qian, J, Zhou, J, Zhang, Z, Liu, R & Wang, Q 2016, 'Biological Nitrogen Removal through Nitritation Coupled with Thiosulfate-Driven Denitritation', Scientific Reports, vol. 6, no. 1, p. 27502.
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AbstractA novel biological nitrogen removal system based on nitritation coupled with thiosulfate-driven denitritation (Nitritation-TDD) was developed to achieve a high nitrogen removal rate and low sludge production. A nitritation sequential batch reactor (nitritation SBR) and an anoxic up-flow sludge bed (AnUSB) reactor were applied for effective nitritation and denitritation, respectively. Above 75% nitrite was accumulated in the nitritation SBR with an influent ammonia loading rate of 0.43 kg N/d/m3. During Nitritation-TDD operation, particle sizes (d50) of the sludge decreased from 406 to 225 um in nitritation SBR and from 327–183 um in AnUSB reactor. Pyrosequencing tests revealed that ammonium-oxidizing bacteria (AOB) population was stabilized at approximately 7.0% (calculated as population of AOB-related genus divided by the total microbial population) in the nitritation SBR. In contrast, nitrite-oxidizing bacteria (NOB) population decreased from 6.5–0.6% over the same time, indicating the effective nitrite accumulation in the nitritation SBR. Thiobacillus, accounting for 34.2% in the AnUSB reactor, was mainly responsible for nitrogen removal via autotrophic denitritation, using an external source of thiosulfate as electron donor. Also, it was found that free nitrous acid could directly affect the denitritation activity.
Qiang, L, Cheng, J, Yi, J, Rotchell, JM, Zhu, X & Zhou, J 2016, 'Environmental concentration of carbamazepine accelerates fish embryonic development and disturbs larvae behavior', Ecotoxicology, vol. 25, no. 7, pp. 1426-1437.
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Environmental pollution caused by pharmaceuticals has been recognized as a major threat to the aquatic ecosystems. Carbamazepine, as the widely prescribed antiepileptic drug, has been frequently detected in the aquatic environment and has created concerns about its potential impacts in the aquatic organisms. The effects of carbamazepine on zebrafish embryos were studied by examining their phenotype, behavior and molecular responses. The results showed that carbamazepine disturbed the normal growth and development of exposed zebrafish embryos and larvae. Upon exposure to carbamazepine at 1 μg/L, the hatching rate, body length, swim bladder appearance and yolk sac absorption rate were significantly increased. Embryos in treatment groups were more sensitive to touch and light stimulation. At molecular level, exposure to an environmentally relevant concentration (1 μg/L) of carbamazepine disturbed the expression pattern of neural-related genes of zebrafish embryos and larvae. This study suggests that the exposure of fish embryo to antiepileptic drugs, at environmentally relevant concentrations, affects their early development and impairs their behavior. Such impacts may have future repercussions by affecting fish population structure.
Qin, P, Zhu, H, Lee, JE-Y & Xue, Q 2016, 'Phase Noise Reduction in a VHF MEMS-CMOS Oscillator Using Phononic Crystals', IEEE Journal of the Electron Devices Society, vol. 4, no. 3, pp. 149-154.
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Qin, P-Y, Guo, YJ & Weily, AR 2016, 'Broadband Reflectarray Antenna Using Subwavelength Elements Based on Double Square Meander-Line Rings', IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, vol. 64, no. 1, pp. 378-383.
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© 2015 IEEE. A linearly polarized broadband reflectarray is presented employing a novel single layer subwavelength phase shifting element. The size of the element is a fifth of a wavelength at the center frequency of 10 GHz and the element consists of double concentric square rings of meander lines. By changing the length of the meander line, a 420° phase variation range is achieved at the center frequency. This characteristic makes the proposed configuration unique, as most of the reported subwavelength reflectarray elements can only realize a phase range far less than 360°. In addition, the slope of the phase response remains almost constant from 9 to 11 GHz, demonstrating a broadband property. A 48 × 48-element reflectarray antenna is simulated, fabricated, and measured. Good agreement is obtained between simulated and measured results. A measured 1.5-dB gain bandwidth of 18% and 56.5% aperture efficiency is achieved.
Qiu, N, Gao, Y, Fang, J, Feng, Z, Sun, G & Li, Q 2016, 'Theoretical prediction and optimization of multi-cell hexagonal tubes under axial crashing', Thin-Walled Structures, vol. 102, pp. 111-121.
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© 2016 Elsevier Ltd. All rights reserved. In this paper, the analytical formulas of mean crashing force for four different hexagonal tubes with multiple cells were first derived based on the Simplified Super Folding Element (SSFE) theory through several typical constituent elements: corner element, three-panel angular element I and three-panel angular element II. The numerical simulations of hexagonal multi-cell configurations were then correlated with the derived analytical solutions. Finally, both analytical formulas and finite element analysis (FEA) based surrogate models were employed to optimize the cross-sectional dimensions of the hexagonal tubes. From the optimization results, web-to-web (W2W) is the most efficient configuration in improving the crashing behavior, while corner-to-corner (C2C) is the worst of these four configurations. Importantly, the Pareto fronts obtained from the analytical formulas agree well with those from the FEA based surrogate models. As a result, analytical formulas could be recommended in crashworthiness optimization for the sake of computational efficiency.
Radmanesh, N, Burnett, IS & Rao, BD 2016, 'A Lasso-LS Optimization with a Frequency Variable Dictionary in a Multizone Sound System', IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 24, no. 3, pp. 583-593.
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©2016 IEEE. This paper presents an approach for multizone wideband sound field generation using an efficient harmonic nested (EHN) dictionary for sparse loudspeakers' placement and weight. Effectively, the nested arrays provide a priori knowledge of prospective loudspeaker locations based on the frequency bands of interest. The nested arrays are then further optimized in the Lasso stage to form an efficient loudspeakers' location dictionary. The final loudspeaker locations and weightings are estimated by a two-stage Lasso-LS pressure matching optimization. In the first stage Lasso algorithm, the center band frequencies of octave bands from 1 kHz to 8 kHz were used to select active loudspeakers. A second stage then optimizes reproduction using all selected loudspeakers on the basis of a regularized LS algorithm. The results demonstrate that the proposed approach provides a solution for the multizone sound system with the mean squared error (MSE) under -30 dB across the targeted frequency range (500 Hz- 16 kHz) using a linear array e.g. 13 loudspeakers. While, the single-stage LS approach generates the MSE peaks of -10 dB and -9 dB at 9 kHz within the active and silent zones respectively using an identical number of loudspeakers and array length.
Rafeie, M, Zhang, J, Asadnia, M, Li, W & Warkiani, ME 2016, 'Multiplexing slanted spiral microchannels for ultra-fast blood plasma separation', Lab on a Chip, vol. 16, no. 15, pp. 2791-2802.
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Blood and blood products are critical components of health care.
Rafi, FHM, Hossain, MJ & Lu, J 2016, 'Hierarchical controls selection based on PV penetrations for voltage rise mitigation in a LV distribution network', International Journal of Electrical Power & Energy Systems, vol. 81, pp. 123-139.
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Rahman, A, Chattopadhyay, G & Hossain, MJ 2016, 'Maintenance Decisions for IngroundDecay of Power-Supply Timber Poles', IEEE Transactions on Power Delivery, vol. 31, no. 3, pp. 1106-1111.
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Rahman, M, Rasul, M, Hassan, N & Hyde, J 2016, 'Prospects of Biodiesel Production from Macadamia Oil as an Alternative Fuel for Diesel Engines', Energies, vol. 9, no. 6, pp. 403-403.
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This paper investigated the prospects of biodiesel production from macadamia oil as an alternative fuel for diesel engine. The biodiesel was produced using conventional transesterification process using the base catalyst (KOH). A multi-cylinder diesel engine was used to evaluate the performance and emission of 5% (B5) and 20% (B20) macadamia biodiesel fuel at different engine speeds and full load condition. It was found that the characteristics of biodiesel are within the limit of specified standards American Society for Testing and Materials (ASTM D6751) and comparable to diesel fuel. This study also found that the blending of macadamia biodiesel-diesel fuel significantly improves the fuel properties including viscosity, density (D), heating value and oxidation stability (OS). Engine performance results indicated that macadamia biodiesel fuel sample reduces brake power (BP) and increases brake-specific fuel consumption (BSFC) while emission results indicated that it reduces the average carbon monoxide (CO), hydrocarbons (HC) and particulate matter (PM) emissions except nitrogen oxides (NOx) than diesel fuel. Finally, it can be concluded that macadamia oil can be a possible source for biodiesel production and up to 20% macadamia biodiesel can be used as a fuel in diesel engines without modifications.
Rahman, MS, Hossain, MJ & Lu, J 2016, 'Coordinated control of three-phase AC and DC type EV–ESSs for efficient hybrid microgrid operations', Energy Conversion and Management, vol. 122, pp. 488-503.
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Rahman, MS, Mahmud, MA, Oo, AMT, Pota, HR & Hossain, MJ 2016, 'Agent-based reactive power management of power distribution networks with distributed energy generation', Energy Conversion and Management, vol. 120, pp. 120-134.
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Rahman, MS, Pota, HR, Mahmud, MA & Hossain, MJ 2016, 'A decentralised multi-agent approach to enhance the stability of smart microgrids with renewable energy', International Journal of Sustainable Energy, vol. 35, no. 5, pp. 429-442.
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© 2014 Taylor & Francis. This paper presents the impact of large penetration of wind power on the transient stability through a dynamic evaluation of the critical clearing times (CCTs) by using intelligent agent-based approach. A decentralised multi-agent-based framework is developed, where agents represent a number of physical device models to form a complex infrastructure for computation and communication. They enable the dynamic flow of information and energy for the interaction between the physical processes and their activities. These agents dynamically adapt online measurements and use the CCT information for relay coordination to improve the transient stability of power systems. Simulations are carried out on a smart microgrid system for faults at increasing wind power penetration levels and the improvement in transient stability using the proposed agent-based framework is demonstrated.
Rahmani, O, Hosseini, SAH & Hayati, H 2016, 'Frequency analysis of curved nano-sandwich structure based on a nonlocal model', Modern Physics Letters B, vol. 30, no. 10, pp. 1650136-1650136.
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In this paper, we study the vibration of curved nano-sandwich (CNS) with considering the influence of core shear based on the Eringen nonlocal theory. The equation of motion is derived and exact solution for the natural frequencies of CNS is presented. The proposed nonlocal model includes a material length scale parameter that can capture the size effect in CNS beam. The effects of important parameters, such as the thickness to length ratio, nonlocal parameter and mode number on the frequencies of CNS are investigated. The result of our research shows that as the opening angle increases, the amount of natural frequencies decrease. We have additionally validate, our results against previous research works which showed good agreement.
Rai, R, Saha, SC, Jain, A, Bagga, R, Kumar, P & Marwaha, N 2016, 'Anti-M Alloimmunization in Pregnancy: An Unusual Cause of Bad Obstetric History', The Journal of Obstetrics and Gynecology of India, vol. 66, no. S2, pp. 607-609.
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Ramalingam, N, Warkiani, ME, Ramalingam, N, Keshavarzi, G, Hao-Bing, L & Hai-Qing, TG 2016, 'Numerical and experimental study of capillary-driven flow of PCR solution in hybrid hydrophobic microfluidic networks', Biomedical Microdevices, vol. 18, no. 4, p. 68.
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Capillary-driven microfluidics is essential for development of point-of-care diagnostic micro-devices. Polymerase chain reaction (PCR)-based micro-devices are widely developed and used in such point-of-care settings. It is imperative to characterize the fluid parameters of PCR solution for designing efficient capillary-driven microfluidic networks. Generally, for numeric modelling, the fluid parameters of PCR solution are approximated to that of water. This procedure leads to inaccurate results, which are discrepant to experimental data. This paper describes mathematical modeling and experimental validation of capillary-driven flow inside Poly-(dimethyl) siloxane (PDMS)-glass hybrid micro-channels. Using experimentally measured PCR fluid parameters, the capillary meniscus displacement in PDMS-glass microfluidic ladder network is simulated using computational fluid dynamic (CFD), and experimentally verified to match with the simulated data.
Rana, MM, Li, L & Su, SW 2016, 'An Adaptive-Then-Combine Dynamic State Estimation Considering Renewable Generations in Smart Grids', IEEE Journal on Selected Areas in Communications, vol. 34, no. 12, pp. 3954-3961.
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© 1983-2012 IEEE. The penetration of renewable distributed energy resources, such as wind turbine, has been dramatically increased in distribution networks. Due to the intermittent property, the wind power generation patterns vary, which may risk distribution network operations. So, it is intrinsically necessary to monitor wind turbines in a distributed way. This paper presents an adaptive-Then-combine distributed dynamic approach for monitoring the grid under lossy communication links between the wind turbines and energy management system. First, the wind turbine is represented by a state-space linear model, with sensors deployed to obtain the system state information. Based on the mean squared error principle, an adaptive approach is proposed to estimate the local state information. The global estimation is designed by combining estimation results with weighting factors which are calculated by minimizing the estimation error covariance based on semidefinite programming. Finally, the convergence analysis indicates that the estimation error is gradually decreased, so the estimated state converges to the actual state. The efficacy of the developed approach is verified using the wind turbine and the IEEE 6-bus distribution system.
Rana, MM, Li, L & Su, SW 2016, 'Microgrid state estimation and control using Kalman filter and semidefinite programming technique', International Energy Journal, vol. 16, no. 2, pp. 47-56.
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The design of environment-friendly microgrids at the smart distribution level requires a stable behaviour for multiple state operations. This paper develops a Kalman filter based optimal feedback control method for the microgrid state estimation and stabilization. First, the microgrid is modelled by a discrete-time state space equation. Then the cost-effective smart sensors are deployed in order to obtain the required system information. From the communication point of view, the recursive systematic convolution code is adopted to add the redundancy in the system. At the end, the soft output Viterbi decoder is used to recover the system information from the noisy measurements and transmission uncertainties. Thereafter, the Kalman filter is utilized to estimate the system states, which acts as a precursor for applying the control algorithm. Finally, this paper proposes an optimal feedback control method to stabilize the microgrid based on semidefinite programming. The performance of the proposed approach is demonstrated by extensive numerical simulations.
Rao, C, Bongiovanni, T, Li, X, Gao, H, Zhang, H, Li, J, Zhao, Y, Yuan, X, Hua, K, Hu, S, Krumholz, HM, Jiang, L & Zheng, Z 2016, 'The China Patient-Centred Evaluative Assessment of Cardiac Events (China PEACE)-Prospective Study of 3-Vessel Disease: rationale and design', BMJ Open, vol. 6, no. 2, pp. e009743-e009743.
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Rao, C, Zhang, H, Gao, H, Zhao, Y, Yuan, X, Hua, K, Hu, S & Zheng, Z 2016, 'The Chinese Cardiac Surgery Registry: Design and Data Audit', The Annals of Thoracic Surgery, vol. 101, no. 4, pp. 1514-1520.
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Rao, P, Chen, Q, Zhou, Y, Nimbalkar, S & Chiaro, G 2016, 'Determination of Active Earth Pressure on Rigid Retaining Wall Considering Arching Effect in Cohesive Backfill Soil', International Journal of Geomechanics, vol. 16, no. 3, pp. 04015082-04015082.
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Rao, T, Xu, M & Xu, D 2016, 'Learning Multi-level Deep Representations for Image Emotion Classification', Neural Processing Letters, vol. 51, pp. 2043-2061.
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In this paper, we propose a new deep network that learns multi-level deeprepresentations for image emotion classification (MldrNet). Image emotion canbe recognized through image semantics, image aesthetics and low-level visualfeatures from both global and local views. Existing image emotionclassification works using hand-crafted features or deep features mainly focuson either low-level visual features or semantic-level image representationswithout taking all factors into consideration. The proposed MldrNet combinesdeep representations of different levels, i.e. image semantics, imageaesthetics, and low-level visual features to effectively classify the emotiontypes of different kinds of images, such as abstract paintings and web images.Extensive experiments on both Internet images and abstract paintingsdemonstrate the proposed method outperforms the state-of-the-art methods usingdeep features or hand-crafted features. The proposed approach also outperformsthe state-of-the-art methods with at least 6% performance improvement in termsof overall classification accuracy.
Rasekh, H & McCarthy, TJ 2016, 'DELIVERING SUSTAINABLE BUILDING PROJECTS – CHALLENGES, REALITY AND SUCCESS', Journal of Green Building, vol. 11, no. 3, pp. 143-161.
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This research concerns the delivery of sustainable building projects. These projects are defined as those which either attempt to achieve green ratings or are claimed to address certain sustainability issues. A key focus is to examine how the client's vision for sustainability is achieved or compromised by the practicality of construction. Two sustainability rating systems, the Australian Green Star and the Living Building Challenge from the U.S. are discussed. This research examines two projects; one university multipurpose building (SMART Infrastructure Facility); and an advanced research facility, the Sustainable Buildings Research Centre (SBRC). The methodology used is semi-structured interviews of key participants and stakeholders for the two university building. The outcome of this research indicates that environmental rating systems are useful tools to construct reasonably sustainable buildings. Many interviewees, however, believe that for their next projects the concern would be to continue to construct sustainable buildings but not necessarily by following the strict criteria and reporting requirements of the environmental rating system.
Rashed, MM, Kalam, MA, Masjuki, HH, Habibullah, M, Imdadul, HK, Shahin, MM & Rahman, MM 2016, 'Improving oxidation stability and NOX reduction of biodiesel blends using aromatic and synthetic antioxidant in a light duty diesel engine', Industrial Crops and Products, vol. 89, pp. 273-284.
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Poor oxidation stability of biodiesel is now a major concern all over the world, especially due to its extensive utilisation in transport and industrialisation. Therefore, biodiesel needs better stability, in order to be sustainably utilised in the long term. The oxygen inhibitor antioxidant can counter the poor oxidation. In this experiment, 20% of Calophyllum inophyllum biodiesel (CIB20) was used as biodiesel feedstock. Three most effective antioxidants N, N′-diphenyl-1, 4-phenylenediamine (DPPD), N-phenyl-1, 4-phenylenediamine (NPPD) and 2-ethylhexyl nitrate (EHN) were used at a 1000ppm concentration with CIB20. The oxidation stability, exhaust emission and performance of a single cylinder diesel engine were analysed and compared to those of diesel. From the results, it was concluded that there was no significant negative impact on biodiesel physiochemical properties, while the stability of biodiesel (CIB20) with the addition of antioxidants with tested blends increased. Among these three antioxidants, DPPD exhibits a better stability in biodiesel. The results shows that CIB20 produced an average of 5.23% lower brake power (BP), 7.84% less brake thermal efficiency (BTE) and 11.2% higher brake specific fuel consumption (BSFC), compared to pure diesel. However, by mixing the antioxidant with CIB20, the BP and BTE, increased while the BSFC slightly decreased. For exhaust emission, antioxidants reduced NOx by about 5.92%–8.83%, with an increment of hydrocarbon (HC) and carbon-monoxide (CO) for all blends. For this reason, CIB20 blends with aromatic amine antioxidants can be used in diesel engine without any engine modifications.
Rashed, MM, Kalam, MA, Masjuki, HH, Mofijur, M, Rasul, MG & Zulkifli, NWM 2016, 'Performance and emission characteristics of a diesel engine fueled with palm, jatropha, and moringa oil methyl ester', Industrial Crops and Products, vol. 79, pp. 70-76.
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This paper aims to investigate the diesel engine performance and emission characteristics fueled with moringa biodiesel and compare those with the performance and emission characteristics of palm biodiesel, jatropha biodiesel, and diesel fuel. In this study, only 20% of each biodiesel (described by MB20, PB20, and JB20, respectively) was tested in diesel engine, given that open literature indicates the possible use of biodiesel of up to 20% in a diesel engine without modification. The physical and chemical properties of all fuel samples are also presented and compared with ASTM D6751 standards. A naturally aspirated multi-cylinder, four-stroke direct-injection diesel engine was used to evaluate their performance at different speeds and full load condition. All biodiesel fuel samples reduce brake power (BP) and increase brake-specific fuel consumption (BSFC) than diesel fuel. Engine emission results indicated that blended fuel reduces the average carbon monoxide (CO) and hydrocarbons (HC) emissions except nitric oxides (NO) emissions than diesel fuel. Among the biodiesel-blended fuel, Palm biodiesel showed better performance and minimal emission than jatropha and moringa biodiesel fuel. Although PB20 showed better performance, but performance of MB20 biodiesel blend is comparable with other fuels. Correspondingly, 20% of moringa biodiesel can be used in a diesel engine without any engine modification.
Rashed, MM, Masjuki, HH, Kalam, MA, Alabdulkarem, A, Rahman, MM, Imdadul, HK & Rashedul, HK 2016, 'Study of the oxidation stability and exhaust emission analysis of Moringa olifera biodiesel in a multi-cylinder diesel engine with aromatic amine antioxidants', Renewable Energy, vol. 94, pp. 294-303.
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In this study, the two most effective aromatic amine antioxidants N,N'-diphenyl-1,4-phenylenediamine (DPPD) and N-phenyl-1,4-phenylenediamine (NPPD), were used at a concentration of 2000 ppm. The impact of antioxidants on the oxidation stability, exhaust emission and engine performance of a multi-cylinder diesel engine fuelled with MB20 (20% Moringa oil methyl ester and 80% diesel fuel blend) were analysed at varying speed conditions at an interval of 500 rpm and a constant load. It was observed that, blending with diesel enhanced the oxidation stability of the moringa biodiesel by approximately 6.97 h, and the addition of DPPD and NPPD to MB20 increased the oxidation stability up to 34.5 and 18.4 h, respectively. The results also showed that the DPPD- and NPPD-treated blends reduced the NOx emission by 7.4% and 3.04%, respectively, compared to the untreated blend. However, they do have higher carbon monoxide (CO) and hydrocarbon (HC) levels and smoke opacities, but it should be noted that these emissions are still well below the diesel fuel emission level. The results show that the addition of antioxidant with MB20 also improves the engine's performance characteristics. Based on this study, MB20 blends with amine antioxidants can be used in diesel engines without any modification.
Remenyi, J, Bajan, S, Fuller-Pace, FV, Arthur, JSC & Hutvagner, G 2016, 'The loop structure and the RNA helicase p72/DDX17 influence the processing efficiency of the mice miR-132', Scientific Reports, vol. 6, no. 1.
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AbstractmiRNAs are small RNAs that are key regulators of gene expression in eukaryotic organisms. The processing of miRNAs is regulated by structural characteristics of the RNA and is also tightly controlled by auxiliary protein factors. Among them, RNA binding proteins play crucial roles to facilitate or inhibit miRNA maturation and can be controlled in a cell, tissue and species-specific manners or in response to environmental stimuli. In this study we dissect the molecular mechanism that promotes the overexpression of miR-132 in mice over its related, co-transcribed and co-regulated miRNA, miR-212. We have shown that the loop structure of miR-132 is a key determinant for its efficient processing in cells. We have also identified a range of RNA binding proteins that recognize the loop of miR-132 and influence both miR-132 and miR-212 processing. The DEAD box helicase p72/DDX17 was identified as a factor that facilitates the specific processing of miR-132.
Ren, JM, Ishitake, K, Satoh, K, Blencowe, A, Fu, Q, Wong, EHH, Kamigaito, M & Qiao, GG 2016, 'Stereoregular High-Density Bottlebrush Polymer and Its Organic Nanocrystal Stereocomplex through Triple-Helix Formation', Macromolecules, vol. 49, no. 3, pp. 788-795.
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We report the synthesis of a well-defined molecular bottlebrush polymer with stereoregular side chains (i.e., syndiotactic PMMA). The simultaneous control over the molecular weight, side-chain tacticity, and architecture allows the macromolecule to stereocomplex with the complementary linear stereoregular polymers (i.e., isotactic PMMAs) in controlled manners. By modulating the feed ratio of the complexing materials and chain length of the linear assembling component, a variety of crystalline materials with different sizes and morphologies, including discrete spherical nanoparticle, multiple-particle assembly, and cross-linked network structure, can be produced. Among these, uniformed sized, stable nanocrystals that exhibit temperature-induced solution assembly and disassembly properties can be derived from a combined process of PMMA triple-helix stereocomplex formation and polymer architecture-directed intramolecular crystallization. This work has established a new, facile synthetic protocol toward stimuli-responsive organic nanocrystals, which is applicable to the fabrication of a wide variety of functional crystal nanomaterials with practical applications.
Ren, JM, McKenzie, TG, Fu, Q, Wong, EHH, Xu, J, An, Z, Shanmugam, S, Davis, TP, Boyer, C & Qiao, GG 2016, 'Star Polymers', Chemical Reviews, vol. 116, no. 12, pp. 6743-6836.
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Recent advances in controlled/living polymerization techniques and highly efficient coupling chemistries have enabled the facile synthesis of complex polymer architectures with controlled dimensions and functionality. As an example, star polymers consist of many linear polymers fused at a central point with a large number of chain end functionalities. Owing to this exclusive structure, star polymers exhibit some remarkable characteristics and properties unattainable by simple linear polymers. Hence, they constitute a unique class of technologically important nanomaterials that have been utilized or are currently under audition for many applications in life sciences and nanotechnologies. This article first provides a comprehensive summary of synthetic strategies towards star polymers, then reviews the latest developments in the synthesis and characterization methods of star macromolecules, and lastly outlines emerging applications and current commercial use of star-shaped polymers. The aim of this work is to promote star polymer research, generate new avenues of scientific investigation, and provide contemporary perspectives on chemical innovation that may expedite the commercialization of new star nanomaterials. We envision in the not-too-distant future star polymers will play an increasingly important role in materials science and nanotechnology in both academic and industrial settings.
Riazi, H, Mesgari, S, Ahmed, NA & Taylor, RA 2016, 'The effect of nanoparticle morphology on the specific heat of nanosalts', International Journal of Heat and Mass Transfer, vol. 94, pp. 254-261.
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Enhancing the specific heat capacity of molten salts by nanoparticle dispersion has emerged as a means to reduce the capital costs of thermal storage for concentrating solar thermal power plants, enabling cheaper solar electricity. Although several studies have shown near 30% enhancement in the specific heat of nanosalts other studies have reported a decrease of similar magnitude. In order to explain discrepancies reported in the literature, this study investigates the influence of various nanoparticle morphologies and preparation methods on the specific heat of nanosalts, which has not been systematically explored. To date, the extent of initial dispersion and the dispersion stability have only been reported on an ad-hoc basis in the literature. In the present study surface chemistry and sonication energy are controlled independently during preparation. By controlling both of these factors, the change of specific heat in nanosalts, results of this study present achieving up to 18% enhancement in specific heat of nanosalts by preparing an optimal nanosalt with distinctive nanoparticles.
Richmond, J, Robbins, A, Evans, K, Beck, D, Kurmasheva, RT, Billups, CA, Carol, H, Heatley, S, Sutton, R, Marshall, GM, White, D, Pimanda, J, Houghton, PJ, Smith, MA & Lock, RB 2016, 'Acute Sensitivity of Ph-like Acute Lymphoblastic Leukemia to the SMAC-Mimetic Birinapant', Cancer Research, vol. 76, no. 15, pp. 4579-4591.
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Abstract Ph-like acute lymphoblastic leukemia (ALL) is a genetically defined high-risk ALL subtype with a generally poor prognosis. In this study, we evaluated the efficacy of birinapant, a small-molecule mimetic of the apoptotic regulator SMAC, against a diverse set of ALL subtypes. Birinapant exhibited potent and selective cytotoxicity against B-cell precursor ALL (BCP-ALL) cells that were cultured ex vivo or in vivo as patient-derived tumor xenografts (PDX). Cytotoxicity was consistently most acute in Ph-like BCP-ALL. Unbiased gene expression analysis of BCP-ALL PDX specimens identified a 68-gene signature associated with birinapant sensitivity, including an enrichment for genes involved in inflammatory response, hematopoiesis, and cell death pathways. All Ph-like PDXs analyzed clustered within this 68-gene classifier. Mechanistically, birinapant sensitivity was associated with expression of TNF receptor TNFR1 and was abrogated by interfering with the TNFα/TNFR1 interaction. In combination therapy, birinapant enhanced the in vivo efficacy of an induction-type regimen of vincristine, dexamethasone, and L-asparaginase against Ph-like ALL xenografts, offering a preclinical rationale to further evaluate this SMAC mimetic for BCP-ALL treatment. Cancer Res; 76(15); 4579–91. ©2016 AACR.
Rijal, R, Samali, B, Shrestha, R & Crews, K 2016, 'Experimental and analytical study on dynamic performance of timber floor modules (timber beams)', Construction and Building Materials, vol. 122, pp. 391-399.
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Ringbauer, M, Giarmatzi, C, Chaves, R, Costa, F, White, AG & Fedrizzi, A 2016, 'Experimental Test of Nonlocal Causality', Science Advances, vol. 2, p. 8.
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Explaining observations in terms of causes and effects is central to all ofempirical science. Correlations between entangled quantum particles, however,seem to defy such an explanation. To recover a causal picture in this case,some of the fundamental assumptions of causal explanations have to give way.Here we consider a broad class of models where one of these assumptions, Bell'slocal causality, is relaxed by allowing a direct influence from one measurementoutcome to the other. We use interventional and observational data from aphotonic experiment to bound the strength of this causal influence in atwo-party Bell scenario and test a novel Bell-type inequality for theconsidered models. Our results demonstrate the incompatibility of quantummechanics with an important class of nonlocal causal models, which includesBell's original model as a special case. Recovering a classical causal pictureof quantum correlations thus requires an even more counter-intuitivemodification of our classical notion of cause and effect.
Ripon, SH, Kamal, S, Hossain, S & Dey, N 2016, 'Theoretical Analysis of Different Classifiers under Reduction Rough Data Set', International Journal of Rough Sets and Data Analysis, vol. 3, no. 3, pp. 1-20.
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Rough set plays vital role to overcome the complexities, vagueness, uncertainty, imprecision, and incomplete data during features analysis. Classification is tested on certain dataset that maintain an exact class and review process where key attributes decide the class positions. To assess efficient and automated learning, algorithms are used over training datasets. Generally, classification is supervised learning whereas clustering is unsupervised. Classifications under mathematical models deal with mining rules and machine learning. The Objective of this work is to establish a strong theoretical and manual analysis among three popular classifier namely K-nearest neighbor (K-NN), Naive Bayes and Apriori algorithm. Hybridization with rough sets among these three classifiers enables enable to address larger datasets. Performances of three classifiers have tested in absence and presence of rough sets. This work is in the phase of implementation for DNA (Deoxyribonucleic Acid) datasets and it will design automated system to assess classifier under machine learning environment.
Rizeei, HM, Saharkhiz, MA, Pradhan, B & Ahmad, N 2016, 'Soil erosion prediction based on land cover dynamics at the Semenyih watershed in Malaysia using LTM and USLE models', Geocarto International, vol. 31, no. 10, pp. 1158-1177.
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This study attempts to identify and forecast future land cover (LC) by using the Land Transformation Model (LTM), which considers pixel changes in the past and makes predictions using influential spatial features. LTM applies the Artificial Neural Networks algorithm) in conducting the analysis. In line with these objectives, two satellite images (Spot 5 acquired in 2004 and 2010) were classified using the Maximum Likelihood method for the change detection analysis. Consequently, LC maps from 2004 to 2010 with six classes (forest, agriculture, oil palm cultivations, open area, urban, and water bodies) were generated from the test area. A prediction was made on the actual soil erosion and the soil erosion rate using the Universal Soil Loss Equation (USLE) combined with remote sensing and GIS in the Semenyih watershed for 2004 and 2010 and projected to 2016. Actual and potential soil erosion maps from 2004 to 2010 and projected to 2016 were eventually generated. The results of the LC change detections indicated that three major changes were predicted from 2004 to 2016 (a period of 12 years): (1) forest cover and open area significantly decreased at rates of almost 30 and 8 km2, respectively; (2) cultivated land and oil palm have shown an increment in sizes at rates of 25.02 and 5.77 km2, respectively; and, (3) settlement and Urbanization has intensified also by almost 5 km2. Soil erosion risk analysis results also showed that the Semenyih basin exhibited an average annual soil erosion between 143.35 ton ha−1 year−1 in 2004 and 151 in 2010, followed by the expected 162.24 ton ha−1 year−1. These results indicated that Semenyih is prone to water erosion by 2016. The wide range of erosion classes were estimated at a very low level (0–1 t/ha/year) and mainly located on steep lands and forest areas. This study has shown that using both LTM and USLE in combination with remote sensing and GIS is a suitable method for forecasting LC and accurately measuring the amo...
Rizoiu, M-A, Velcin, J & Lallich, S 2016, 'How to Use Temporal-Driven Constrained Clustering to Detect Typical Evolutions', Int. J. Artif. Intell. Tools, vol. 23, no. 4, p. 1460013.
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In this paper, we propose a new time-aware dissimilarity measure that takesinto account the temporal dimension. Observations that are close in thedescription space, but distant in time are considered as dissimilar. We alsopropose a method to enforce the segmentation contiguity, by introducing, in theobjective function, a penalty term inspired from the Normal DistributionFunction. We combine the two propositions into a novel time-driven constrainedclustering algorithm, called TDCK-Means, which creates a partition of coherentclusters, both in the multidimensional space and in the temporal space. Thisalgorithm uses soft semi-supervised constraints, to encourage adjacentobservations belonging to the same entity to be assigned to the same cluster.We apply our algorithm to a Political Studies dataset in order to detecttypical evolution phases. We adapt the Shannon entropy in order to measure theentity contiguity, and we show that our proposition consistently improvestemporal cohesion of clusters, without any significant loss in themultidimensional variance.
Roth, N & Deuse, J 2016, 'Excellent, lean production: Framework on the base of systematic variability and lead time reduction and continuous improvement cycles.', Productivity Management, vol. 21, no. 4, pp. 15-19.
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Within this paper lean production and business excellence approaches will be brought together to one holistic improvement approach. A performance management system, which relies on the principles of variability and lead time reduction is thereby the core, which helps companies to improve their result indicators. The approach has been developed and tested over a duration of more than 5 years within several industrial projects. In all cases, considerable improvements of bottom line indicators such as inventory, productivity or quality could be achieved.
Ruan, J, Walker, PD, Watterson, PA & Zhang, N 2016, 'The dynamic performance and economic benefit of a blended braking system in a multi-speed battery electric vehicle', Applied Energy, vol. 183, pp. 1240-1258.
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© 2016 Elsevier Ltd As motor-supplied braking torque is applied to the wheels in an entirely different way to hydraulic friction braking systems and it is usually only connected to one axle complicated effects such as wheel slip and locking, vehicle body bounce and braking distance variation will inevitability impact on the performance and safety of braking. The potential for braking energy recovery in typical driving cycles is presented to show its benefit in this study. A general predictive model is designed to analysis the economic and dynamic performance of blended braking systems, satisfying the relevant regulations/laws and critical limitations. Braking strategies for different purposes are proposed to achieve a balance between braking performance, driving comfort and energy recovery rate. Special measures are taken to avoid any effects of motor failure. All strategies are analyzed in detail for various braking events. Advanced driver assistance systems (ADAS), such as ABS and EBD, are properly integrated to work with the regenerative braking system (RBS) harmoniously. Different switching plans during braking are discussed. The braking energy recovery rates and brake force distribution details for different driving cycles are simulated. Results for two of the cycles in an ‘Eco’ mode are measured on a drive train test rig and found to agree with the simulated results to within approximately 10%. Reliable conclusions can thus be gained on the economic benefit and dynamic braking performance. The strategies proposed in this paper are shown to not only achieve comfortable and safe braking during all driving conditions, but also to significantly reduce cost in both the short and long term.
Rufangura, P & Sabah, C 2016, 'Design and characterization of a dual-band perfect metamaterial absorber for solar cell applications', Journal of Alloys and Compounds, vol. 671, pp. 43-50.
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This paper proposes a metamaterial absorber design for solar energy harvesting using a simplified and symmetric structure. A unit cell of this design consists of three important layers namely, the bottom metallic layer, which is gold lossy, the intermediate layer: made of a lossy dielectric material that is gallium arsenide and patches which formed by a combination of gold and gallium arsenide. These three important layers are being carefully arranged at the top of a dielectric spacer. The geometric structure was being examined for its contribution towards absorption characteristics. The simulation results show outstanding dual-bands absorption (99.96% and 99.37%) in the visible frequency regime of electromagnetic wave. Due to the excellent symmetric nature of the proposed structure, its absorptance capacity exhibits polarization insensitivity for a wide range of incident angles for electromagnetic radiation.
Rufangura, P & Sabah, C 2016, 'Polarisation insensitive tunable metamaterial perfect absorber for solar cells applications', IET Optoelectronics, vol. 10, no. 6, pp. 211-216.
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Rufangura, P & Sabah, C 2016, 'Theoretical and thermal characterization of a wideband perfect absorber for application in solar cells', Applied Physics A, vol. 122, no. 12.
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Rufangura, P & Sabah, C 2016, 'Wide-band polarization independent perfect metamaterial absorber based on concentric rings topology for solar cells application', Journal of Alloys and Compounds, vol. 680, pp. 473-479.
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Ruhul, AM, Kalam, MA, Masjuki, HH, Alabdulkarem, A, Atabani, AE, Fattah, IMR & Abedin, MJ 2016, 'Production, characterization, engine performance and emission characteristics of Croton megalocarpus and Ceiba pentandra complementary blends in a single-cylinder diesel engine', RSC Advances, vol. 6, no. 29, pp. 24584-24595.
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Potentiality and sustainability of two biodiesel feedstocks namelyCroton megalocarpusandCeiba pentandrahave been investigated. 20% (v/v) optimum combined blending of this two sources can substitute the fossil diesel.
Ruhul, AM, Kalam, MA, Masjuki, HH, Fattah, IMR, Reham, SS & Rashed, MM 2016, 'ChemInform Abstract: State of the Art of Biodiesel Production Processes: A Review of the Heterogeneous Catalyst', ChemInform, vol. 47, no. 9, pp. no-no.
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AbstractReview: 183 refs.
Ruhul, MA, Abedin, MJ, Rahman, SMA, Masjuki, BHH, Alabdulkarem, A, Kalam, MA & Shancita, I 2016, 'Impact of fatty acid composition and physicochemical properties of Jatropha and Alexandrian laurel biodiesel blends: An analysis of performance and emission characteristics', Journal of Cleaner Production, vol. 133, pp. 1181-1189.
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Ruppert, MG & Moheimani, SOR 2016, 'Multimode <inline-formula> <tex-math notation='LaTeX'>$Q$ </tex-math> </inline-formula> Control in Tapping-Mode AFM: Enabling Imaging on Higher Flexural Eigenmodes', IEEE Transactions on Control Systems Technology, vol. 24, no. 4, pp. 1149-1159.
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Ruppert, MG, Harcombe, DM & Moheimani, SOR 2016, 'High-Bandwidth Demodulation in MF-AFM: A Kalman Filtering Approach', IEEE/ASME Transactions on Mechatronics, vol. 21, no. 6, pp. 2705-2715.
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Ruppert, MG, Karvinen, KS, Wiggins, SL & Reza Moheimani, SO 2016, 'A Kalman Filter for Amplitude Estimation in High-Speed Dynamic Mode Atomic Force Microscopy', IEEE Transactions on Control Systems Technology, vol. 24, no. 1, pp. 276-284.
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Ryan, PC, Stewart, MG, Spencer, N & Li, Y 2016, 'Probabilistic analysis of climate change impacts on timber power pole networks', International Journal of Electrical Power & Energy Systems, vol. 78, pp. 513-523.
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The IPCC, a collection of 800 of the world's leading climate change scientists, state that future climate related risks to society and infrastructure are likely to change. It is therefore important for the power industry to consider the possible impacts of future climate change on infrastructure performance. However, very few studies have been published to date examining the potential impacts of climate change on power distribution poles networks, which constitute large and valuable infrastructure assets worldwide. The work presented in this paper builds on the limited research in this area by developing a framework for examination of the possible impacts of climate change on timber power pole networks. The time-dependent event-based model developed herein allows network maintenance and predicted climate change effects to be considered, while also incorporating uncertainty associated with both climate change predictions, and structural reliability modelling of infrastructure networks over time. The results of a case study which examined notional power pole networks for five Australian cities revealed that the effects of climate change on predicted power pole performance can be significant. Wind failures for the Brisbane location were predicted to increase by approximately 60% when considering a period from 2015 to 2070, under the severe climate change scenario. However, the predicted impacts are also highly regionally variable, with one location considered experiencing positive climate change impacts for a medium climate change scenario.
Ryan, R, Hastings, C, Grant, B, Lawrie, A, Ní Shé, É & Wortley, L 2016, 'The Australian Experience of Municipal Amalgamation: Asking the Citizenry and Exploring the Implications', Australian Journal of Public Administration, vol. 75, no. 3, pp. 373-390.
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Debate over municipal amalgamations in Australian continues to dominate local government reform agendas, with the putative need to achieve economies of scale and scope consistently set against anti‐amalgamation arguments designed to preserve extant communities. Following from an examination of recent episodes of consolidation in Australia, this paper reports on citizens' attitudes to amalgamation garnered from a national survey of 2,006 individuals. We found that generally, citizens are ambivalent toward amalgamation, although attitudes were influenced by particular demographic characteristics and attitudes to representation, belonging, service delivery requirements and the costs thereof. The results suggest that, away from the local government sector itself, structural reform may not be the vexatious issue it is often portrayed as. The implications of this are explored here.
Ryu, K, Dantanarayana, L, Furukawa, T & Dissanayake, G 2016, 'Grid-based scan-to-map matching for accurate 2D map building.', Adv. Robotics, vol. 30, no. 7, pp. 431-448.
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This paper presents a grid-based scan-to-map matching technique for accurate 2D map building. At every acquisition of a new scan, the proposed technique matches the new scan to the previous scan similarly to the conventional techniques, but further corrects the error by matching the new scan to the globally defined map. In order to achieve best scan-to-map matching at each acquisition, the map is represented as a grid map with multiple normal distributions (NDs) in each cell, which is one contribution of this paper. Additionally, the new scan is also represented by NDs, developing a novel ND-to-ND matching technique. This ND-to-ND matching technique has significant potential in the enhancement of the global matching as well as the computational efficiency. Experimental results first show that the proposed technique accumulates very small errors after consecutive matchings and identifies that the scans are matched better to the map with the multi-ND representation than one ND representation. The proposed t...
Saadat, A, Ni, W, Vesilo, R & Cui, Q 2016, 'Errata to the paper “An Evolutionary Game Theoretic Framework for Femtocell Radio Resource Management”', IEEE Transactions on Wireless Communications, vol. 15, no. 12, pp. 8610-8612.
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Sahebi, S, Phuntsho, S, Woo, YC, Park, MJ, Tijing, LD, Hong, S & Shon, HK 2016, 'Effect of sulphonated polyethersulfone substrate for thin film composite forward osmosis membrane', DESALINATION, vol. 389, pp. 129-136.
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© 2015 Elsevier B.V. Sulphonated polyethersulfone (SPES) has been synthesized for developing high performance thin film composite (TFC) forward osmosis (FO) membranes with enhanced hydrophilic support layer. Sulphonated substrate not only affects the membrane performance but also changes the membrane morphology from finger-like structure to a sponge-like morphology at higher degree of sulphonation thereby affecting the mechanical strength of the FO membrane. Non-sulphonated TFC-FO membrane with 12 wt.% polymer concentration shows a faint finger-like structure while sulphonated samples at a similar polymer concentration show a fully sponge-like structure with a much higher performance. For example, a water flux of 35 Lm-2 h-1 and 0.28 g L-1 specific reverse solute flux was achieved with sulphonated TFC-FO membrane sample (50 wt.% SPES) under the FO mode using 2 M NaCl as the draw solution and deionized water as feed. Substrate sulphonation also considerably decreased the membrane structural parameter from 1096 μm without sulphonation to 245 μm at 50 wt.% sulphonation. This study therefore shows that, besides surface morphology, the water flux of the FO membrane can also be enhanced by improving its substrate hydrophilic property.
Sahoo, M, Sahoo, S, Dhar, A & Pradhan, B 2016, 'Effectiveness evaluation of objective and subjective weighting methods for aquifer vulnerability assessment in urban context', Journal of Hydrology, vol. 541, pp. 1303-1315.
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Salvador, MM, Budka, M & Gabrys, B 2016, 'Effects of Change Propagation Resulting from Adaptive Preprocessing in Multicomponent Predictive Systems', Procedia Computer Science, vol. 96, pp. 713-722.
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Predictive modelling is a complex process that requires a number of steps to transform raw data into predictions. Preprocessing of the input data is a key step in such process, and the selection of proper preprocessing methods is often a labour intensive task. Such methods are usually trained offline and their parameters remain fixed during the whole model deployment lifetime. However, preprocessing of non-stationary data streams is more challenging since the lack of adaptation of such preprocessing methods may degrade system performance. In addition, dependencies between different predictive system components make the adaptation process more challenging. In this paper we discuss the effects of change propagation resulting from using adaptive preprocessing in a Multicomponent Predictive System (MCPS). To highlight various issues we present four scenarios with different levels of adaptation. A number of experiments have been performed with a range of datasets to compare the prediction error in all four scenarios. Results show that well managed adaptation considerably improves the prediction performance. However, the model can become inconsistent if adaptation in one component is not correctly propagated throughout the rest of system components. Sometimes, such inconsistency may not cause an obvious deterioration in the system performance, therefore being difficult to detect. In some other cases it may even lead to a system failure as was observed in our experiments.
Sameen, MI, Nahhas, FH, Buraihi, FH, Pradhan, B & Shariff, ARBM 2016, 'A refined classification approach by integrating Landsat Operational Land Imager (OLI) and RADARSAT-2 imagery for land-use and land-cover mapping in a tropical area', International Journal of Remote Sensing, vol. 37, no. 10, pp. 2358-2375.
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Sanders, YR, Wallman, JJ & Sanders, BC 2016, 'Bounding quantum gate error rate based on reported average fidelity', New Journal of Physics, vol. 18, no. 1, pp. 012002-012002.
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Remarkable experimental advances in quantum computing are exemplified by recent announcements of impressive average gate fidelities exceeding 99.9% for single-qubit gates and 99% for two-qubit gates. Although these high numbers engender optimism that fault-tolerant quantum computing is within reach, the connection of average gate fidelity with fault-tolerance requirements is not direct. Here we use reported average gate fidelity to determine an upper bound on the quantum-gate error rate, which is the appropriate metric for assessing progress towards fault-tolerant quantum computation, and we demonstrate that this bound is asymptotically tight for general noise. Although this bound is unlikely to be saturated by experimental noise, we demonstrate using explicit examples that the bound indicates a realistic deviation between the true error rate and the reported average fidelity. We introduce the Pauli distance as a measure of this deviation, and we show that knowledge of the Pauli distance enables tighter estimates of the error rate of quantum gates.
Sangchini, EK, Emami, SN, Tahmasebipour, N, Pourghasemi, HR, Naghibi, SA, Arami, SA & Pradhan, B 2016, 'Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran', Arabian Journal of Geosciences, vol. 9, no. 3, p. 201.
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Sanjid, A, Kalam, MA, Masjuki, HH, Varman, M, Zulkifli, NWBM & Abedin, MJ 2016, 'Performance and emission of multi-cylinder diesel engine using biodiesel blends obtained from mixed inedible feedstocks', Journal of Cleaner Production, vol. 112, pp. 4114-4122.
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Sato, H, Manabe, K-I, Wei, D, Jiang, Z & Alexandrov, S 2016, 'Tribological behavior in micro–sheet hydroforming', Tribology International, vol. 97, pp. 302-312.
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Savkin, AV, Wang, C, Baranzadeh, A, Xi, Z & Nguyen, HT 2016, 'Distributed formation building algorithms for groups of wheeled mobile robots', Robotics and Autonomous Systems, vol. 75, pp. 463-474.
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© 2015. The paper presents a method for decentralized flocking and global formation building for a network of unicycle-like robots described by the standard kinematics equations with hard constraints on the robots linear and angular velocities. We propose decentralized motion coordination control algorithms for the robots so that they collectively move in a desired geometric pattern from any initial position. There are no predefined leaders in the group and only local information is required for the control. The effectiveness of the proposed control algorithms is illustrated via computer simulations and experiments with real robots.
Schell, AW, Tran, TT, Takashima, H, Takeuchi, S & Aharonovich, I 2016, 'Non-linear excitation of quantum emitters in hexagonal boron nitride multiplayers', APL Photonics, vol. 1, no. 9, pp. 091302-091302.
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Two-photon absorption is an important non-linear process employed for high resolution bio-imaging and non-linear optics. In this work, we realize two-photon excitation of a quantum emitter embedded in a two-dimensional (2D) material. We examine defects in hexagonal boron nitride (hBN) and show that the emitters exhibit similar spectral and quantum properties under one-photon and two-photon excitation. Furthermore, our findings are important to deploy two-dimensional hexagonal boron nitride for quantum non-linear photonic applications.
Scofield, JMP, Gurr, PA, Kim, J, Fu, Q, Kentish, SE & Qiao, GG 2016, 'Blends of Fluorinated Additives with Highly Selective Thin-Film Composite Membranes to Increase CO2 Permeability for CO2/N2 Gas Separation Applications', Industrial & Engineering Chemistry Research, vol. 55, no. 30, pp. 8364-8372.
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A highly permeable poly(ethylene glycol-b-pentafluoropropyl acrylate) diblock copolymer additive is blended with the highly selective PEBAX 1657 block copolymer and spin coated onto cross-linked poly(dimethylsiloxane) gutter layers coated onto porous polyacrylonitrile supports for use in CO2/N2 gas separation applications. Blended films containing up to 70 wt % of the fluorinated additive are successfully formed and characterized by scanning electron microscopy, revealing an average film thickness of 200 nm. Addition of the fluorinated additive results in significant enhancements to CO2 permeance, in the range of 916 to 1538 GPU while maintaining a CO2/N2 selectivity between 21 and 33 when blended at 60-65 wt %. The impact of temperature and pressure on membrane performance was determined at temperatures of 25-55 °C and pressures of 100-500 kPa. Theoretical calculations of the performance without the gutter layer resistance demonstrate that the corresponding active membrane layer could achieve CO2 permeances between 1128 and 2246 GPU and permeabilities between 226 and 449 barrer with CO2/N2 selectivities between 27 and as high as 39. The reported thin-film composite membranes represent a significant increase in performance compared with similar polymeric membranes.
Scofield, JMP, Gurr, PA, Kim, J, Fu, Q, Kentish, SE & Qiao, GG 2016, 'Development of novel fluorinated additives for high performance CO2 separation thin-film composite membranes', Journal of Membrane Science, vol. 499, pp. 191-200.
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A series of poly(ethylene glycol)-block-poly(pentafluoropropyl acrylate) diblock copolymers were synthesized by Reversible Addition Fragmentation Chain Transfer (RAFT) polymerization. These block copolymers were blended up to 60wt% with commercially available PEBAX® 2533. The resulting polymer mixtures were successfully spin coated onto cross-linked polydimethylsiloxane (PDMS) gutter layers which in turn had been deposited onto a porous polyacrylonitrile (PAN) support, to form a thin film composite membrane. Gas testing of these membranes for carbon capture applications showed enhanced CO2 permeances up to 1830GPU, without a significant drop in CO2/N2 selectivity at 35°C and 350kPa, relative to a pure PEBAX® upper layer. The impacts of temperature and pressure on membrane performance were investigated for temperatures from 25°C to 55°C and pressures from 100kPa to 500kPa. Theoretical calculations indicated that in the absence of a gutter layer, the upper layer could achieve a CO2 permeance of over 3000GPU with a CO2/N2 selectivity of 22. These results represent a significant increase in gas permeances compared with previously published results for similar membranes.
Scott, JA, Totonjian, D, Martin, AA, Tran, TT, Fang, J, Toth, M, McDonagh, AM, Aharonovich, I & Lobo, CJ 2016, 'Versatile method for template-free synthesis of single crystalline metal and metal alloy nanowires', Nanoscale, vol. 8, no. 5, pp. 2804-2810.
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A versatile, template-free growth technique for single crystalline metal nanowires using gas or solution phase precursors.
Sebayang, AH, Masjuki, HH, Ong, HC, Dharma, S, Silitonga, AS, Mahlia, TMI & Aditiya, HB 2016, 'A perspective on bioethanol production from biomass as alternative fuel for spark ignition engine', RSC Advances, vol. 6, no. 18, pp. 14964-14992.
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The increasing fuel consumption of fossil fuels has led to the development of alternative fuels for the future.
Sebayang, AH, Masjuki, HH, Ong, HC, Dharma, S, Silitonga, AS, Mahlia, TMI & Aditiya, HB 2016, 'ChemInform Abstract: A Perspective on Bioethanol Production from Biomass as Alternative Fuel for Spark Ignition Engine', ChemInform, vol. 47, no. 13, pp. no-no.
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AbstractReview: 279 refs.
Seeman, E & Nguyen, TV 2016, 'Bone remodeling markers: so easy to measure, so difficult to interpret', Osteoporosis International, vol. 27, no. 1, pp. 33-35.
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Setlhaolo, D, Xia, X & Zhang, J 2016, 'Corrigendum to “Optimal scheduling of household appliances for demand response” [Electr. Power Syst. Res. 116 (November) (2014) 24–28]', Electric Power Systems Research, vol. 130, pp. 220-221.
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Shahid, M, El Saliby, I, McDonagh, A, Chekli, L, Tijing, LD, Kim, J-H & Shon, HK 2016, 'Adsorption and Photocatalytic Degradation of Methylene Blue Using Potassium Polytitanate and Solar Simulator', JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY, vol. 16, no. 5, pp. 4342-4349.
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Copyright © 2016 American Scientific Publishers All rights reserved. Solar photocatalytic degradation of organic water pollutants can be used to degrade toxic organic pollutants in water. In this study, potassium titanate nanofibres were synthesized by an aqueous peroxide route at high pH and examined as photocatalysts for photodegradation of methylene blue (MB) using a solar simulator. Initially, MB was adsorbed on the surface of potassium polytitanates to achieve adsorption equilibrium before the photocatalysts were illuminated using solar simulator. The results showed that potassium polytitanate nanofibres were effective adsorbents of MB and also facilitated its photocatalytic degradation. Sulphate ion evolution during photocatalysis confirmed that some mineralisation occurred and hence photo-oxidative degradation of MB took place. The optimum operational conditions for the photocatalytic degradation of MB were found at 0.05 g/L of photocatalyst load, 10 mg/L MB and pH 7. The stability and regeneration of the photocatalyst specimen was also studied for 3 degradation cycles using adsorption/photocatalysis model. Morphological structure analysis of potassium titanate showed nanocrystallines structure of longitudinally-oriented isolated fibre with a length up to several micrometres with diameters ranging from 10 to 20 nanometres.
Shahid, M, Tijing, LD, Saliby, IE, McDonagh, A, Kim, J-B, Kim, J-H & Shon, HK 2016, 'Adsorption Behavior of Pb(II) Onto Potassium Polytitanate Nanofibres', Journal of Nanoscience and Nanotechnology, vol. 16, no. 2, pp. 1916-1919.
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Copyright © 2016 American Scientific Publishers All rights reserved. Potassium polytitanate nanofibres prepared by a hydrothermal method were investigated for their possible application in removing toxic metals from aqueous solution. Particular attention was paid to employing the titanate as a novel effective adsorbent for the removal of Pb(II). Batch adsorption experiments demonstrated that the adsorption was influenced by various conditions such as solution pH, adsorbent dosage and initial Pb(II) concentration. The results showed that the adsorption rate was faster in the first 5 min and equilibrium was achieved after 180 min. The maximum amount of adsorption was detected at pH 5. Potassium titanate showed much higher adsorption capacity compared to P25. The kinetic studies indicated that the adsorption of Pb(II) onto titanate best fit the pseudo-second-order kinetic model. FTIR spectra revealed that the hydroxyl groups in titanate were responsible for Pb(II) adsorption. The principal mechanism of the adsorption of Pb(II) in the present study is attributed to both ion exchange and oxygen bonding. The adsorption-desorption results demonstrated that the titanate could be readily regenerated after adsorption. Therefore, the present titanate exhibits great potential for the removal of Pb(II) from wastewater.
SHAHRARA, N, ÇELIK, T & GANDOMI, AH 2016, 'Risk analysis of BOT contracts using soft computing', JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, vol. 23, no. 2, pp. 232-240.
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Build-Operate-Transfer (BOT) contracts have been widely implemented in developing countries facing budget constraints. Analysing the expected variability in project viability requires extensive risk analysis. An objective analysis of various risk variables and their influence on a BOT project evaluation requires study and integration of many scenarios into the concession terms, which is complicated and time-consuming. If the process of negotiating the financial parameters and uncertainties of a BOT project could be automated, this would be a milestone in objective decision-making from various stakeholders’ points of view. A soft computing model would let the user incorporate as many scenarios as could be provided. Extensive risk analysis could then be easily performed, leading to more accurate and dependable results. In this research, an artificial neural network model with correlation coefficient of 0.9064 has been used to model the relationship between important project parameters and risk variables. This information was extracted from sensitivity analysis and Monte Carlo simulation results obtained from conventional spreadsheet data. The resulting consensus would yield to fair contractual agreements for both the government and the concession company.
Shancita, I, Masjuki, HH, Kalam, MA, Reham, SS & Shahir, SA 2016, 'Comparative Analysis on Property Improvement Using Fourier Transform Infrared Spectroscopy (FT-IR) and Nuclear Magnetic Resonance (NMR) (1H and 13C) Spectra of Various Biodiesel Blended Fuels', Energy & Fuels, vol. 30, no. 6, pp. 4790-4805.
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Sharma, RK, Ganesan, P, Tyagi, VV & Mahlia, TMI 2016, 'Accelerated thermal cycle and chemical stability testing of polyethylene glycol (PEG) 6000 for solar thermal energy storage', Solar Energy Materials and Solar Cells, vol. 147, pp. 235-239.
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Accelerated thermal cycle test of polyethylene glycol (PEG) of molecular weight 6000, an organic phase change material (O-PCM), has been carried out for 1500 melt/freeze cycles. The latent heat of fusion and melting temperature is measured using differential scanning calorimeter between 0th and 1500th melt-freeze cycles to study the changes in its thermal properties. Also, the changes in the compositional/functional groups of the material during the cycle test are also measured using FT-IR spectroscopy technique. The melting temperature is found to be stable in the quoted range of 55-60 °C with a maximum deviation of 6.5% when compared to that of at 0th cycle. However, a gradual drop in the latent heat of fusion with the increasing number of thermal cycles is measured. The FT-IR spectra do not show any noticeable changes in the peaks which confirm its compositional stability even after the higher number of thermal cycles. Thermal and chemical reliability tests of PEG 6000 along with the techno-economic analysis have shown that this PCM has a significant potential to be used as a thermal energy storage system.
Shen, B, Cao, L, Yao, M & Gao, Y 2016, 'Mining preferred navigation patterns by consolidating both selection and time preferences', World Wide Web, vol. 19, no. 5, pp. 979-1007.
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© 2015, Springer Science+Business Media New York. Preferred navigation patterns (PNP) are those contiguous sequential patterns whose elements are preferred by users to be selected as the next steps between several different selections and are preferred by users to spend much time on. Such navigation path and time preferred patterns are more actionable than any other finds only considering either path or time in various web applications, such as web user navigation, targeted online advertising and recommendation. However, due to the conceptual confusion and limitation on navigation preference in the existing work, the corresponding algorithms cannot discover actionable preferred navigation patterns. In this paper, we study the problem of preferred navigation pattern mining by involving both navigation path and time length. Firstly, we carefully define the concepts of time preference and selection preference for time-related path sequences, which can well reflect user interests from the relative path selection and time consumption respectively. Secondly, we propose an efficient PNP-forest algorithm for identifying PNPs, by first introducing PNP-forest data structure, and then presenting PNP-forest growth and maintenance mechanism, associated with optimization strategies. Then we introduce a more efficient mining algorithm called PrefixSpan_Forest, which integrates the advantages of PrefixSpan and PNP-forest. The performance of these two algorithms are also evaluated and the results show that the algorithms can discover PNPs effectively.
Shen, L, Lu, DD & Wang, Y 2016, 'Geometric maximum power point tracking and sliding mode control of a bidirectional grid connected single phase two‐stage photovoltaic system with DC loads', IET Renewable Power Generation, vol. 10, no. 9, pp. 1310-1317.
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Shen, M, Zhang, N, Zheng, S, Zhang, W-B, Zhang, H-M, Lu, Z, Su, QP, Sun, Y, Ye, K & Li, X-D 2016, 'Calmodulin in complex with the first IQ motif of myosin-5a functions as an intact calcium sensor', Proceedings of the National Academy of Sciences, vol. 113, no. 40, pp. E5812-E5820.
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Significance Myosin-5a is a molecular motor that functions as a cargo transporter in cells. The motor function of myosin-5a is regulated by calcium via the calmodulin bound to the first isoleucine-glutamine (IQ) motif (IQ1) of myosin-5a. Here, we solve the crystal structure of a truncated myosin-5a containing the motor domain and the IQ1 complexed with calcium-bound calmodulin. Comparison of the structures of the IQ1 complexed with calmodulin with or without bound calcium reveals the calcium-induced conformational changes of calmodulin. We demonstrated that calmodulin continuously associates with the IQ1 during that calcium transition and that the IQ1 binding substantially changes the thermodynamic and kinetics of calcium transition in calmodulin. These findings provide insight into the mechanism by which calcium regulates myosin-5a.
Shen, S, Huang, L, Liu, J, Champion, A, Yu, S & Cao, Q 2016, 'Reliability Evaluation for Clustered WSNs under Malware Propagation', Sensors, vol. 16, no. 6, pp. 855-855.
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We consider a clustered wireless sensor network (WSN) under epidemic-malware propagation conditions and solve the problem of how to evaluate its reliability so as to ensure efficient, continuous, and dependable transmission of sensed data from sensor nodes to the sink. Facing the contradiction between malware intention and continuous-time Markov chain (CTMC) randomness, we introduce a strategic game that can predict malware infection in order to model a successful infection as a CTMC state transition. Next, we devise a novel measure to compute the Mean Time to Failure (MTTF) of a sensor node, which represents the reliability of a sensor node continuously performing tasks such as sensing, transmitting, and fusing data. Since clustered WSNs can be regarded as parallel-serial-parallel systems, the reliability of a clustered WSN can be evaluated via classical reliability theory. Numerical results show the influence of parameters such as the true positive rate and the false positive rate on a sensor node's MTTF. Furthermore, we validate the method of reliability evaluation for a clustered WSN according to the number of sensor nodes in a cluster, the number of clusters in a route, and the number of routes in the WSN.
Shi, C, Li, Y, Zhang, J, Li, W, Chong, L & Xie, Z 2016, 'Performance enhancement of recycled concrete aggregate – A review', Journal of Cleaner Production, vol. 112, pp. 466-472.
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© 2015 Elsevier Ltd. All rights reserved. Recycled concrete aggregate differ from natural aggregate as the former contains hardened cement mortar. The adhered cement mortar on recycled concrete aggregate has higher porosity and water absorption and lower strength than natural aggregate do. It has negative effects on the mechanical properties and durability of fresh and hardened concrete made with recycled concrete aggregate. Therefore, it will facilitate the applications of recycled concrete aggregate if the adhered cement mortar can be enhanced. Removing and strengthening the adhered mortar are the two main methods for enhancing the properties of recycled concrete aggregate. This paper reviews the published enhancement methods for recycled concrete aggregate, and points out their advantages and disadvantages so as to facilitate the selection and further development of suitable enhancement methods for recycled concrete aggregate. It suggests that carbonation treatment is an efficient and feasible method for improving the mechanical properties and durability of recycled concrete aggregate. Carbonation treatment of recycled concrete aggregate is not only an efficient way for enhancing the properties of recycled concrete aggregate, but also an environmental friendly approach.
Shi, S, Ni, W, Liu, RP & Li, S 2016, 'Performance analysis of two‐way MAC layer network coding under finite relay buffer and non‐negligible signalling overhead', Wireless Communications and Mobile Computing, vol. 16, no. 18, pp. 3230-3243.
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AbstractTwo‐way exclusive OR (XOR) relay can enable hidden nodes to exchange data with low delays and high data rate, while keeping signal processing simple. In this paper, we analyse practical two‐way XOR relaying systems, where finite relay buffer, non‐negligible signalling overhead, and lossy wireless channels are all captured. A two‐layer model is developed to characterise such practical two‐way relay systems, which is then reformulated into a Markov process after we project and combine inter‐layer state transitions of the two‐layer model. Using Markov techniques, we evaluate the steady state probabilities of the Markov process and, in turn, the key performance measures of two‐way XOR relaying, such as throughput, delay, and packet loss. The accuracy of our model is validated by simulations. Our model can also be used as an online tool to configure the buffer resources, adapting to wireless channel conditions and signalling requirements. Copyright © 2016 John Wiley & Sons, Ltd.
Shields, BJ, Jackson, JT, Metcalf, D, Shi, W, Huang, Q, Garnham, AL, Glaser, SP, Beck, D, Pimanda, JE, Bogue, CW, Smyth, GK, Alexander, WS & McCormack, MP 2016, 'Acute myeloid leukemia requires Hhex to enable PRC2-mediated epigenetic repression of Cdkn2a', Genes & Development, vol. 30, no. 1, pp. 78-91.
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Unlike clustered HOX genes, the role of nonclustered homeobox gene family members in hematopoiesis and leukemogenesis has not been extensively studied. Here we found that the hematopoietically expressed homeobox gene Hhex is overexpressed in acute myeloid leukemia (AML) and is essential for the initiation and propagation of MLL-ENL-induced AML but dispensable for normal myelopoiesis, indicating a specific requirement for Hhex for leukemic growth. Loss of Hhex leads to expression of the Cdkn2a-encoded tumor suppressors p16INK4a and p19ARF, which are required for growth arrest and myeloid differentiation following Hhex deletion. Mechanistically, we show that Hhex binds to the Cdkn2a locus and directly interacts with the Polycomb-repressive complex 2 (PRC2) to enable H3K27me3-mediated epigenetic repression. Thus, Hhex is a potential therapeutic target that is specifically required for AML stem cells to repress tumor suppressor pathways and enable continued self-renewal.
Shirbin, SJ, Lam, SJ, Chan, NJ-A, Ozmen, MM, Fu, Q, O’Brien-Simpson, N, Reynolds, EC & Qiao, GG 2016, 'Polypeptide-Based Macroporous Cryogels with Inherent Antimicrobial Properties: The Importance of a Macroporous Structure', ACS Macro Letters, vol. 5, no. 5, pp. 552-557.
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Synthetic polypeptide-based macroporous cryogels with inherent antimicrobial properties were prepared for potential water purification applications. Gels were chemically cross-linked through the amine residue of a polycationic polylysine-b-polyvaline block copolymer with glutaraldehyde as cross-linker under cryogenic conditions. These cryogels exhibited excellent water swelling and highly compressible mechanical properties owing to their macroporous structure. The antibacterial performance was evaluated based on E. coli viability, with cryogels exhibiting up to 95.6% reduction in viable E. coli after a brief 1 h incubation. In comparison to the hydrogel control, the presence of macropores is shown to be vital to the antimicrobial effect of the gels. The confined environment and increased antimicrobial surface area of the macropores is believed to result in a 'trap and kill' mechanism. Mechanical strength and pore integrity of cryogels were also found to be determinants for antibacterial activity. Along with the lack of toxic leaching, these cryogels with inherent antimicrobial properties pose as potential candidates for use in biological and environmentally friendly water purification applications.
Shon, HK, Phuntsho, S & Jegatheesan, V 2016, 'Special Issue – Challenges in Environmental Science and Engineering', Process Safety and Environmental Protection, vol. 104, pp. 451-451.
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Shrestha, S, Fang, G, Dutkiewicz, E & Huang, X 2016, 'Solving hidden terminal problem in MU-MIMO WLANs with fairness and throughput-aware precoding and a degrees-of-freedom-based MAC design', EURASIP Journal on Wireless Communications and Networking, vol. 2016, no. 1.
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© 2016, Shrestha et al. We generally emphasize that the zeroforcing (ZF) technique backed by an appropriate medium access control (MAC) protocol can be used to address the inevitable hidden terminal (HT) problem in multi-user multiple input multiple output (MU-MIMO) wireless local area network (WLAN) settings. However, to address the implementation-specific requirements of MU-MIMO WLANs, such as fairness in client access and throughput of the network, we propose a fairness and a throughput-aware ZF precoding in our design at the physical layer (PHY). This precoding scheme not only solves the HT problem but also meets the fairness and the throughput requirements of MU-MIMO WLANs. Besides, we design a MAC layer protocol, supportive to PHY, which decides transmission opportunities (TXOPs) among access points (APs) based on the available degrees of freedom (DoF). We make a mandatory provision in our design that APs should have a sufficient DoF. This can ensure collision-free transmission whenever APs/transmitters transmit in the HT scenario. Additionally, we design an improved channel sounding process for MU-MIMO WLANs with a less signaling overhead than IEEE802.11ac. We demonstrate the feasibility of our PHY in a USRP2/GNU Radio testbed prototype in the lab settings. It is found that our PHY improves the SNR and effective SNR of the received signal from about 5 to 11 dB in the HT scenario. The performance of our MAC design is checked with simulation studies in a typical six-antenna AP and clients scenario. We observe that our MAC protocol has a slightly higher signaling overhead than traditional ready to send/clear to send (RTS/CTS) due to design constraints; however, the signaling time overheads are reduced by 98.67 μs compared to IEEE802.11ac. Another interesting aspect to highlight is the constant Throughput gain of four to five times that of the traditional RTS/CTS. Our MAC protocol obtains this gain as early as 98.67 μs compared to IEEE802.11ac.
Shuhimi, FF, Abdollah, MFB, Kalam, MA, Hassan, M, Mustafa, AE & Amiruddin, H 2016, 'Tribological characteristics comparison for oil palm fibre/epoxy and kenaf fibre/epoxy composites under dry sliding conditions', Tribology International, vol. 101, pp. 247-254.
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The aim of this study is to compare the tribological characteristics of OPF/E and KF/E composites in terms of fibre composition and temperature. A pin sample with a diameter of 10 mm was made using the hot compaction technique. The dry sliding test was performed using a pin-on-disc tribometer. Increasing the temperature resulted in increased wear and decreased friction coefficient for both composites. The mild-severe wear transition of OPF/E accelerated with fibre composition although it produced a lower wear rate than KF/E at high-temperatures. In addition, the wear mode map for both OPF/E and KF/E composites has been proposed and addressed in this paper based on wear rate values. This mild-severe wear transition has been further confirmed by worn surface morphology.
Sianipar, M, Kim, SH, Min, C, Tijing, LD & Shon, HK 2016, 'Potential and performance of a polydopamine-coated multiwalled carbon nanotube/polysulfone nanocomposite membrane for ultrafiltration application', Journal of Industrial and Engineering Chemistry, vol. 34, pp. 364-373.
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© 2015 The Korean Society of Industrial and Engineering Chemistry. The addition of multiwalled carbon nanotubes (MWNTs) as inorganic fillers is well known to improve membrane performance for water desalination. Most MWNTs are treated by acid treatment to enhance their hydrophilicity before their applications in membranes. However, acid treatment leads to structural damages of the MWNT wall. An alternative way of improving the hydrophilicity of MWNTs is through coating of polydopamine (Pdop), where MWNT wall damage is avoided. In the present study, polydopamine-coating on MWNT is carried out at pH 8.5 and at room temperature (23-25. °C). Different concentrations (0.1-0.5 wt%) of Pdop-MWNTs were incorporated into polysulfone (Psf) membranes fabricated by phase inversion. The results showed that the incorporation of Pdop-coated MWNTs has increased the membrane permeability using BSA solution (1000 ppm) by 19-50% depending on the amount of Pdop-MWNTs in the membrane, and has maintained good rejection performances (99.88%). Moreover, the antifouling properties of the nanocomposite membranes were also improved. Here, the optimum dose was determined to be 0.1. wt% of Pdop-MWNTs. Furthermore, even though the Pdop-MWNT/Psf membranes showed lower permeability than acid-MWNT/Psf membrane, the Pdop-MWNT/Psf membrane obtained higher mechanical strength and would be potentially sustainable for a long term ultrafiltration operation.
Sick, N, Nienaber, A-M, Liesenkötter, B, vom Stein, N, Schewe, G & Leker, J 2016, 'The legend about sailing ship effects – Is it true or false? The example of cleaner propulsion technologies diffusion in the automotive industry', Journal of Cleaner Production, vol. 137, pp. 405-413.
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The global automotive industry is faced with major technological change in the field of propulsion systems. Due to low carbon emission regulations and a rising societal demand for sustainability, original equipment manufacturers (OEMs) are forced to innovate either in the conventional technology or in the technological alternatives such as electric drives or fuel cells. However, OEMs are only marginally switching to electromobility so far, but rather incrementally innovating traditional technologies. This behaviour can be described as sailing ship effect which contains the reaction of an old technology to a new technology by fostering innovation in the old technology. Firstly, the present study contributes to the discussion in literature on the sailing ship effect by combining its underlying ideas and consequences with the rationales of path dependence to demonstrate that such a behaviour may be individually economical rational. Based on these considerations, we respond to the call for further empirical investigation of the sailing ship effect. We show patent-based evidence that there has been a temporary sailing ship effect in the automotive industry concerning traditional and emerging propulsion systems and discuss implications for corporate technology strategy and policy.
Siddiki, MN-A-A, Molla, MM & Saha, SC 2016, 'Natural convection flow in porous enclosure with localized heating from below with heat flux', AIP Conference Proceedings, vol. 1754.
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Siedelhofer, C, Henke, T, Konrad, B, Deuse, J & Litterscheidt, J 2016, 'Konzepte zur Effizienzsteigerung von Variantenfließlinien bei hohen Variantenanzahlen', Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 111, no. 10, pp. 594-597.
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Kurzfassung Die Nachfrage nach individuellen Produkten erfordert von Unternehmen das Angebot eines breiten Produktspektrums. Zwar sind Variantenfließlinien gängige Praxis, jedoch stellt der Umgang mit weiter zunehmenden Taktzeitspreizungen und volatilen Kundenabrufen eine große Herausforderung dar. In dem Beitrag werden zwei Konzepte vorgestellt, die aufbauend auf Methoden des Data Mining sowie des flexiblen Mitarbeitereinsatzes die Linieneffizienz von Variantenfließlinien erhöhen.
Silitonga, AS, Masjuki, HH, Ong, HC, Kusumo, F, Mahlia, TMI & Bahar, AH 2016, 'Pilot-scale production and the physicochemical properties of palm and Calophyllum inophyllum biodiesels and their blends', Journal of Cleaner Production, vol. 126, pp. 654-666.
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Biodiesel production has grown rapidly in response to the escalating price of fossil fuels in the last 20 years. Biodiesels appear to be one of the solutions to fulfil the increasing energy demands of the transportation sector since it can be used as substitutes of diesel in diesel engines without the need to modify the engines. The aim of this study is to evaluate the properties of biodiesels produced from crude palm and Calophyllum inophyllum oils using a pilot plant. A 50 L stainless steel jacketed reactor pilot plant is built to convert crude palm oil into palm methyl ester using transesterification process whereas crude C. inophyllum oil is processed using acid-catalysed esterification followed by alkaline-catalysed transesterification. The properties of the palm and C. inophyllum methyl esters are characterized according to the American society for testing and materials (ASTM) D6751 and European standard (EN) 14214 standards. In a latter section of this study, the palm and C. inophyllum methyl esters are blended with diesel fuel using different volume ratios. The oxidation stability of these blends is evaluated for two storage conditions for 90 days: (1) vacuum chamber and (2) room temperature. The oxidation stability of these blends is maintained for more than 12 h for 90 days when the fuels are stored in the vacuum chamber, which fulfils the biodiesel standards. Based on the results, both crude palm and C. inophyllum oils are potential feedstocks for industrial-scale biodiesel production and the biodiesels can likely replace diesel fuel in the future.
Silitonga, AS, Masjuki, HH, Ong, HC, Yusaf, T, Kusumo, F & Mahlia, TMI 2016, 'Synthesis and optimization of Hevea brasiliensis and Ricinus communis as feedstock for biodiesel production: A comparative study', Industrial Crops and Products, vol. 85, pp. 274-286.
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Biodiesel from non-edible seeds has attracted the attention of the authors to investigate Hevea brasiliensis (HB) and Ricinus communis (RC) as potential feedstocks. Biodiesel production was carried out using esterification-neutralization-transesterification (ENT) process. The transesterification process was carried out under variation methanol to oil molar ratio, catalyst concentration, reaction temperature, reaction time and speed agitation. On top of that, optimization was evaluated using Response Surface Methodology (RSM) and a quadratic polynomial model for ENT method. The optimization results show that production biodiesel from HBME and RCME with ENT method were 99.32% and 99.07% respectively. All the properties measured for produced methyl ester met in ASTMD 6751. Moreover, the presence of ricinoleic (α-elaeostearic) in RCME can improve the cold point, pour point and cold filter plugging point, which resulted in −40.4°C, −27.8°C and −35.0°C respectively. The results of the cold flow properties are better due to higher unsaturated fatty acid concentration. It is indicates that RCME has good performance during cold weather engine operation. It short, biodiesel production using ENT method can produce high methyl ester yield and good biodiesel properties.
Simon, H & Sick, N 2016, 'Technological distance measures: new perspectives on nearby and far away', Scientometrics, vol. 107, no. 3, pp. 1299-1320.
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© 2016, Akadémiai Kiadó, Budapest, Hungary. Understanding the competitive environment of one’s company is crucial for every manager. One tool to quantify the technological relationships between companies, evaluate industry landscapes and knowledge transfer potential in collaborations is the technological distance. There are different methods and many different factors that impact the results and thus the conclusions that are drawn from distance calculation. Therefore, the present study derives guidelines for calculating and evaluating technological distances for three common methods, i.e. the Euclidean distance, the cosine angle and the min-complement distance. For this purpose, we identify factors that influence the results of technological distance calculation using simulation. Subsequently, we analyze technological distances of cross-industry collaborations in the field of electric mobility. Our findings show that a high level of detail is necessary to achieve insightful results. If the topic in scope of the analysis does not represent the core business of the companies, we recommend filters to focus on the respective topic. Another key suggestion is to compare the calculated results to a peer group in order to evaluate if a distance can be evaluated as ‘near’ or ‘far’.
Singh, J, Prasad, M, Prasad, OK, Meng Joo, E, Saxena, AK & Lin, C-T 2016, 'A Novel Fuzzy Logic Model for Pseudo-Relevance Feedback-Based Query Expansion', International Journal of Fuzzy Systems, vol. 18, no. 6, pp. 980-989.
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© 2016, Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg. In this paper, a novel fuzzy logic-based expansion approach considering the relevance score produced by different rank aggregation approaches is proposed. It is well known that different rank aggregation approaches yield different relevance scores for each term. The proposed fuzzy logic approach combines different weights of each term by using fuzzy rules to infer the weights of the additional query terms. Experimental results demonstrate that the proposed approach achieves significant improvement over individual expansion, aggregated and other related state-of-the-arts methods.
Sivagurunathan, P, Kumar, G, Kim, S-H, Kobayashi, T, Xu, K-Q, Guo, W & Hao Ngo, H 2016, 'Enhancement Strategies for Hydrogen Production from Wastewater: A Review', Current Organic Chemistry, vol. 20, no. 26, pp. 2744-2752.
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Siwakoti, YP, Blaabjerg, F & Loh, PC 2016, 'High Step-Up Trans-Inverse (Tx-1) DC-DC Converter for the Distributed Generation System.', IEEE Trans. Ind. Electron., vol. 63, no. 7, pp. 4278-4291.
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Siwakoti, YP, Blaabjerg, F & Loh, PC 2016, 'New Magnetically Coupled Impedance (Z-) Source Networks', IEEE Transactions on Power Electronics, vol. 31, no. 11, pp. 7419-7435.
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Siwakoti, YP, Blaabjerg, F, Galigekere, VP, Ayachit, A & Kazimierczuk, MK 2016, 'A-Source Impedance Network', IEEE Transactions on Power Electronics, vol. 31, no. 12, pp. 1-1.
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© 2016 IEEE. A novel A-source impedance network is proposed in this letter. The A-source impedance network uses an autotransformer for realizing converters for any application that demand a very high dc voltage gain. The network utilizes a minimal turns ratio compared to other magnetically coupled impedance source networks to attain a high voltage gain. In addition, the proposed converter draws a continuous current from the source, and hence it is suitable for many types of renewable energy sources. The derived network expressions and theoretical analysis are finally validated experimentally with an example single-switch 400-W dc-dc converter. For the closed-loop control design and stability assessment, a small signal model and its analysis of the proposed network are also presented in brief.
Siyahghalati, S, Saraf, AK, Pradhan, B, Jebur, MN & tehrany, MS 2016, 'Rule-based semi-automated approach for the detection of landslides induced by 18 September 2011 Sikkim, Himalaya, earthquake using IRS LISS3 satellite images', Geomatics, Natural Hazards and Risk, vol. 7, no. 1, pp. 326-344.
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Landslide is considered as one of the most devastating and most costly natural hazards in highlands, which is triggered mainly by rainfalls or earthquakes. In comparison with other methods, landslide mapping and monitoring via remote sensing data products are considered as the least expensive method of data collection. The current research attempts to detect landslides which occurred due to a 6.9 magnitude earthquake in Sikkim Himalaya, India, on 18 September 2011 and also to establish the spatial relationship between landslides and the slope of the terrain. To detect the landslides, decision tree method was applied on two Indian remote sensing satellites linear imaging self-scanning sensor (LISS III) images acquired from 2007 and 2011 which were taken before and after the earthquake. As the study area was relatively huge for identifying the landslides, the region was separated into two parts: “tested study area” and “real study area”. The overall accuracy of landslide detection was 76%, and 75% for tested and real study area, respectively. Then, the spatial relationship between the landslides and the slope of the terrain was conducted using the digital elevation model. The results revealed that most of the landslides occurred between the slope of 25° and 45° covering 2.3 km2 and no landslide recorded in the slope of 65°–90° in the real study area. The results obtained in this study may be useful for decision-making and policy support towards reconstruction effort after the landslide occurrence. In addition, the information can be useful for reducing the risk of potential damages to substructures and properties by developing new and efficient strategies.
Sojoudi, A, Khezerloo, M, Saha, SC & Gu, Y 2016, 'Effect of rotating cylinder on heat transfer in a differentially heated rectangular enclosure filled with power law non-Newtonian fluid', International Journal of Numerical Methods for Heat & Fluid Flow, vol. 26, no. 6, pp. 1910-1931.
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Purpose – The purpose of this paper is to numerically investigate two dimensional steady state convective heat transfer in a differentially heated square cavity with constant temperatures and an inner rotating cylinder. The gap between the cylinder and the enclosure walls is filled with power law non-Newtonian fluid. Design/methodology/approach – Finite volume-based CFD software, Fluent (Ansys 15.0) is used to solve the governing equations. Attribution of the various flow parameters of fluid flow and heat transfer are investigated including Rayleigh number, Prandtl number, power law index, the cylinder radius and the angular rotational speed. Findings – Outcomes are reported in terms of isotherms, streamlines and average Nusselt number (Nu) of the heated wall for various considered here. Research limitations/implications – A detailed investigates is needed in the context of 3D flow. This will be a part of the future work. Practical implications – The effect of a rotating cylinder on heat transfer and fluid flow in a differentially heated rectangular enclosure filled with power law non-Newtonian fluid has practical importance in the process industry. Energy and Buildings, vol. 128, pp. 845-866.
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Sojoudi, A, Saha, SC, Xu, F & Gu, YT 2016, 'Transient air flow and heat transfer due to differential heating on inclined walls and heat source placed on the bottom wall in a partitioned attic shaped space', Energy and Buildings, vol. 113, pp. 39-50.
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Soltani, M, Mostaan, A, Siwakoti, YP, Davari, P & Blaabjerg, F 2016, 'Family of step‐up DC/DC converters with fast dynamic response for low power applications', IET Power Electronics, vol. 9, no. 14, pp. 2665-2673.
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Song, K, Zhou, X, Liu, Y, Gong, Y, Zhou, B, Wang, D & Wang, Q 2016, 'Role of oxidants in enhancing dewaterability of anaerobically digested sludge through Fe (II) activated oxidation processes: hydrogen peroxide versus persulfate', Scientific Reports, vol. 6, no. 1, p. 24800.
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AbstractImproving dewaterability of sludge is important for the disposal of sludge in wastewater treatment plants (WWTPs). This study, for the first time, investigated the Fe(II) activated oxidization processes in improving anaerobically digested sludge (ADS) dewaterability. The combination of Fe(II) (0–100 mg/g total solids (TS)) and persulfate (0–1,000 mg/g TS) under neutral pH as well as the combination of Fe(II) (0–100 mg/g TS) and hydrogen peroxide (HP) (0–1,000 mg/g TS) under pH 3.0 were used to examine and compare their effect on the ADS dewaterability enhancement. The highest ADS dewaterability enhancement was attained at 25 mg Fe(II)/g TS and 50 mg HP/g TS, when the CST (CST: the capillary suction time, a sludge dewaterability indicator) was reduced by 95%. In contrast, the highest CST reduction in Fe(II)-persulfate conditioning was 90%, which was obtained at 50 mg Fe(II)/g TS and 250 mg persulfate/g TS. The results showed that Fe(II)-HP conditioning was comparable with Fe(II)-persulfate conditioning in terms of highest CST reduction. Economic analysis suggested that the Fe(II)-HP conditioning was more promising for improving ADS dewaterability compared with Fe(II)-persulfate conditioning, with the saving being up to $65,000 per year in a WWTP with a population equivalent of 100,000.
Song, K, Zhou, X, Liu, Y, Xie, G-J, Wang, D, Zhang, T, Liu, C, Liu, P, Zhou, B & Wang, Q 2016, 'Improving dewaterability of anaerobically digested sludge by combination of persulfate and zero valent iron', Chemical Engineering Journal, vol. 295, pp. 436-442.
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Biological wastewater treatment process generates large amounts of sludge, the treatment and disposal of which incur substantial costs. Enhancement of sludge dewaterability is of great importance for decreasing the sludge disposal cost in a wastewater treatment plant (WWTP). This study proposes an innovative conditioning approach to improve the dewaterability of the anaerobically digested sludge (ADS) collected from a full-scale WWTP for the first time. The ADS dewaterability was significantly improved in the presence of persulfate (0-1.0 g/g TS; TS: total solids) and zero valent iron (ZVI) (0-4.0 g/g TS) at neutral pH. The largest improvement of ADS dewaterability was obtained at 2.0 g ZVI/g TS and 0.5 g persulfate/g TS, under which the capillary suction time (an indicator of sludge dewaterability) was decreased by approximately 90%. Compared with the traditional Fenton process (Fe2+ + H2O2 at pH 2.0), economic analysis indicated that the ZVI-persulfate conditioning process is more economically attractive for enhancing ADS dewaterability.
Song, X, McDonald, J, Price, WE, Khan, SJ, Hai, FI, Ngo, HH, Guo, W & Nghiem, LD 2016, 'Effects of salinity build-up on the performance of an anaerobic membrane bioreactor regarding basic water quality parameters and removal of trace organic contaminants', Bioresource Technology, vol. 216, pp. 399-405.
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Sood, K, Yu, S & Xiang, Y 2016, 'Performance Analysis of Software-Defined Network Switch Using $M/Geo/1$ Model', IEEE Communications Letters, vol. 20, no. 12, pp. 2522-2525.
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The aim of this letter is to propose an analytical model to study the performance of software-defined network (SDN) switches. Here, SDN switch performance is defined as the time that an SDN switch needs to process packet without the interaction of controller. We exploit the capabilities of queueing theory-based M/Geo/1 model to analyze the key factors, flow-table size, packet arrival rate, number of rules, and position of rules. The analytical model is validated using extensive simulations. This letter reveals that these factors have significant influence on the performance of an SDN switch.
Sood, K, Yu, S & Xiang, Y 2016, 'Software-Defined Wireless Networking Opportunities and Challenges for Internet-of-Things: A Review', IEEE Internet of Things Journal, vol. 3, no. 4, pp. 453-463.
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With the emergence of Internet-of-Things (IoT), there is now growing interest to simplify wireless network controls. This is a very challenging task, comprising information acquisition, information analysis, decision-making, and action implementation on large scale IoT networks. Resulting in research to explore the integration of software-defined networking (SDN) and IoT for a simpler, easier, and strain less network control. SDN is a promising novel paradigm shift which has the capability to enable a simplified and robust programmable wireless network serving an array of physical objects and applications. This paper starts with the emergence of SDN and then highlights recent significant developments in the wireless and optical domains with the aim of integrating SDN and IoT. Challenges in SDN and IoT integration are also discussed from both security and scalability perspectives.
Sood, K, Yu, S, Xiang, Y & Cheng, H 2016, 'A General QoS Aware Flow-Balancing and Resource Management Scheme in Distributed Software-Defined Networks', IEEE Access, vol. 4, pp. 7176-7185.
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Due to the limited service capabilities of centralized controllers, it is difficult to process high volume of flows within reasonable time. This particularly degrades the strict quality of service (QoS) requirements of interactive media applications, which is non-negligible factor. To alleviate this concern, distributed deployments of software-defined network (SDN) controllers are inevitable and have gained a predominant position. However, to maintain application specific QoS requirements, the number of resources used in network directly impacts the capital and operational expenditure. Hence, in distributed SDN architectures, issues such as flow arrival rate, resources required and operational cost have significant mutual dependencies on each other. Therefore, it is essential to research feasible methods to maintain QoS and minimize resources provisioning cost. Motivated from this, we propose a solution in a distributed SDN architectures that provides flow-balancing (with guaranteed QoS) in pro-active operations of SDN controllers, and attempts to optimize the use of instance resources provisioning costs. We validate our solution using the tools of queuing theory. Our studies indicate that with our solution, a network with minimum resources and affordable cost with guaranteed application QoS can be set-up.
Soon, JL & Lu, DD-C 2016, 'Design of Fuse–MOSFET Pair for Fault-Tolerant DC/DC Converters', IEEE Transactions on Power Electronics, vol. 31, no. 9, pp. 6069-6074.
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Sornalingam, K, McDonagh, A & Zhou, JL 2016, 'Photodegradation of estrogenic endocrine disrupting steroidal hormones in aqueous systems: Progress and future challenges', Science of The Total Environment, vol. 550, pp. 209-224.
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© 2016 Elsevier B.V. This article reviews different photodegradation technologies used for the removal of four endocrine disrupting chemicals (EDCs): estrone (E1), 17β-estradiol (E2), estriol (E3) and 17α-ethinylestradiol (EE2). The degradation efficiency is greater under UV than visible light; and increases with light intensity up to when mass transfer becomes the rate limiting step. Substantial rates are observed in the environmentally relevant range of pH7-8, though higher rates are obtained for pH above the pKa (~10.4) of the EDCs. The effects of dissolved organic matter (DOM) on EDC photodegradation are complex with both positive and negative impacts being reported. TiO2 remains the best catalyst due to its superior activity, chemical and photo stability, cheap commercial availability, capacity to function at ambient conditions and low toxicity. The optimum TiO2 loading is 0.05-1gl-1, while higher loadings have negative impact on EDC removal. The suspended catalysts prove to be more efficient in photocatalysis compared to the immobilised catalysts, while the latter are considered more suitable for commercial scale applications. Photodegradation mostly follows 1st or pseudo 1st order kinetics. Photodegradation typically eradicates or moderates estrogenic activity, though some intermediates are found to exhibit higher estrogenicity than the parent EDCs; the persistence of estrogenic activity is mainly attributed to the presence of the phenolic moiety in intermediates.
Sorourian, S, Keshavarzi, A & Ball, JE 2016, 'Scour at partially blocked box-culverts under steady flow', Proceedings of the Institution of Civil Engineers - Water Management, vol. 169, no. 6, pp. 247-259.
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Culverts are built at locations where a waterway crosses a road or railway and creates a limitation to flow passage. Furthermore, blockage commonly occurs during flood events with accumulation of debris at the culvert inlet. The inlet blockage changes the flow structure at the outlet and may result in culvert failure. Despite this, the impacts of blockage on culvert hydraulics and downstream waterways have not received consideration in the literature. The purpose of this paper is to mitigate this deficiency by reporting on an investigation into scouring at the outlet of partially blocked culverts. Experimental tests were conducted under steady flow to investigate a relationship between the maximum scour depth, blockage ratio of the culvert and the flow characteristics. Both non-blocked and partially blocked conditions were considered. Consideration of the results obtained showed that the scoured area and maximum scour depth increased with partially blocked culverts conditions compared with equivalent non-blocked culverts.
Sounthararajah, DP, Loganathan, P, Kandasamy, J & Vigneswaran, S 2016, 'Column studies on the removal of dissolved organic carbon, turbidity and heavy metals from stormwater using granular activated carbon', DESALINATION AND WATER TREATMENT, vol. 57, no. 11, pp. 5045-5055.
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© 2014 Balaban Desalination Publications. All rights reserved. Stormwater pollutants have the capacity to damage aquatic environments if they are discharged untreated. Suspended solids (turbidity), dissolved organic carbon (DOC) and heavy metals removal from stormwater were investigated in batch and fixed-bed column experiments. Field studies revealed that turbidity and DOC in stormwater were effectively removed at filtration velocities of 5, 10 and 11.5 m/h using a 100 cm high granular activated carbon (GAC) filter column. At the higher filtration velocities of 10 and 11.5 m/h, adding a pre-treatment 100 cm high anthracite filter column further improved DOC and turbidity removal. Batch and column laboratory adsorption experiments at pH 6.5–7.2 using GAC showed that the order of removal efficiency for solutions containing single and mixed metals was Pb, Cu > Zn > Ni, Cd. This order was related to the solubility product and first hydrolysis constants of these metals’ hydroxides. This study confirmed that GAC filter is effective in removing turbidity, DOC and heavy metals from stormwater.
Spérandio, M, Pocquet, M, Guo, L, Ni, B-J, Vanrolleghem, PA & Yuan, Z 2016, 'Evaluation of different nitrous oxide production models with four continuous long-term wastewater treatment process data series', Bioprocess and Biosystems Engineering, vol. 39, no. 3, pp. 493-510.
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Five activated sludge models describing N2O production by ammonium oxidising bacteria (AOB) were compared to four different long-term process data sets. Each model considers one of the two known N2O production pathways by AOB, namely the AOB denitrification pathway and the hydroxylamine oxidation pathway, with specific kinetic expressions. Satisfactory calibration could be obtained in most cases, but none of the models was able to describe all the N2O data obtained in the different systems with a similar parameter set. Variability of the parameters can be related to difficulties related to undescribed local concentration heterogeneities, physiological adaptation of micro-organisms, a microbial population switch, or regulation between multiple AOB pathways. This variability could be due to a dependence of the N2O production pathways on the nitrite (or free nitrous acid-FNA) concentrations and other operational conditions in different systems. This work gives an overview of the potentialities and limits of single AOB pathway models. Indicating in which condition each single pathway model is likely to explain the experimental observations, this work will also facilitate future work on models in which the two main N2O pathways active in AOB are represented together.
Stewart, MG 2016, 'Climate change impact assessment of metal-clad buildings subject to extreme wind loading in non-cyclonic regions', Sustainable and Resilient Infrastructure, vol. 1, no. 1-2, pp. 32-45.
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A risk assessment is conducted to assess the risks and economic impact of roof cladding wind damage for low rise metal-clad industrial and commercial buildings located in non-cyclonic regions of Australia. Roof cover loss includes structural, interior, contents and business interruption losses. The economic risks are calculated as the product of hazard likelihood, fragility, and loss, over the 50-year design life of metal-clad buildings representative of new construction and designed to be nominally sealed. The analysis includes time-dependent changes in wind patterns due to a changing climate. The climate adaptation (or risk mitigation) strategy examined is a change to the Australian National Construction Code requiring that all roller, sectional or large access doors for metal-clad buildings in non-cyclonic regions of Australia be wind-rated according to Australian Standards. It was found that a wind-rated door reduces damage risk by 15–35%. Specifying wind-rated doors for all new construction in non-cyclonic regions enhances resilience and is cost-effective if the additional cost per building is less than $10,000. Climate change has a minor effect on the cost-effectiveness of wind-rated doors.
Stewart, MG & Reid, S 2016, 'Decision-making in a changing climate', Structure and Infrastructure Engineering, vol. 12, no. 4, pp. 431-431.
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Stewart, MG, Foster, S, Ahammed, M & Sirivivatnanon, V 2016, 'Calibration of Australian Standard AS3600 concrete structures part II: reliability indices and changes to capacity reduction factors', Australian Journal of Structural Engineering, vol. 17, no. 4, pp. 254-266.
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© 2016 Engineers Australia. Capacity reduction factors (ϕ) for flexure, shear and axial loadings are derived for reinforced concrete (RC) structures based on a reliability-based calibration of the Australian Concrete Structures Standard AS3600. The structural reliability analysis considers the bias and variability of material properties, dimensions, loads and model error. The target reliabilities (βT) are selected based on consideration of past practice and Australian and international standards. The capacity reduction factors (ϕ) for the new code AS3600-2009 are selected using the most recent statistical parameters for material strengths for 20–100 MPa strength concrete using Class N (ductile) 500N reinforcement. The reliability-based calibration found that the ϕ-factor can be increased from 0.80 to 0.85 for members in bending, and increased from 0.60 to 0.65 for axial loading of short (stocky) columns where the ratio of the live load to the dead load is at least 0.25. No changes are recommended for shear or torsion, at this time, or for slender columns; further research is needed to better refine the design models for these cases and reduce the variation in their model error. The proposed increases in capacity reduction factors will result in up to an 8.3% increase in design strength that, in turn, provides efficiency in the use of materials. The proposed changes provide for modest savings in greenhouse gas emissions.
Stewart, MG, Ryan, PC, Henderson, DJ & Ginger, JD 2016, 'Fragility analysis of roof damage to industrial buildings subject to extreme wind loading in non-cyclonic regions', Engineering Structures, vol. 128, pp. 333-343.
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A fragility analysis is conducted for loss of roof cladding for low rise metal-clad industrial buildings located in non-cyclonic regions of Australia. The stochastic analysis includes possible component and connection failures, load redistribution based on progressive failure, spatial distribution of wind load, and internal pressure variation caused by roof sheeting failure. This spatial and time-dependent reliability analysis will enable fragility curves to be developed that relate likelihood and extent of roof cover damage with wind speed. Industrial buildings representative of new construction in the Australian cities of Brisbane, Sydney and Melbourne are considered. Fragility functions are proposed for industrial buildings designed and constructed to existing codes, and also for improperly designed or constructed buildings where a roller door or other dominant opening prematurely fails during a storm for a building designed as nominally sealed. It was found that damage risks double if a roller door or other dominant opening prematurely fails during a storm.
Stratton-Powell, AA, Pasko, KM, Brockett, CL & Tipper, JL 2016, 'The Biologic Response to Polyetheretherketone (PEEK) Wear Particles in Total Joint Replacement: A Systematic Review', Clinical Orthopaedics & Related Research, vol. 474, no. 11, pp. 2394-2404.
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Styrkarsdottir, U, Thorleifsson, G, Eiriksdottir, B, Gudjonsson, SA, Ingvarsson, T, Center, JR, Nguyen, TV, Eisman, JA, Christiansen, C, Thorsteinsdottir, U, Sigurdsson, G & Stefansson, K 2016, 'Two Rare Mutations in the COL1A2 Gene Associate With Low Bone Mineral Density and Fractures in Iceland', Journal of Bone and Mineral Research, vol. 31, no. 1, pp. 173-179.
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ABSTRACT We conducted a genome-wide association study of low bone mineral density (BMD) at the hip and spine utilizing sequence variants found through whole-genome sequencing of 2636 Icelanders. We found two rare missense mutations, p.Gly496Ala and p.Gly703Ser, in the COL1A2 gene that associate with measures of osteoporosis in Icelanders. Mutations in COL1A2 are known to cause the autosomal dominant disorder osteogenesis imperfecta. Both variants associate with low BMD and with osteoporotic fractures. p.Gly496Ala (frequency of 0.105%) shows the strongest association with low BMD at the spine (p = 1.8 × 10−7, odds ratio [OR] = 4.61 [95% confidence interval (CI) 2.59, 8.18]), whereas p.Gly703Ser (frequency of 0.050%) is most strongly associated with low BMD at the hip (p = 1.9 × 10−8, OR = 9.34 [95% CI 4.28, 20.3]). Association with fractures was p = 2.2 × 10−5, OR = 3.75 (95% CI 2.03, 6.93) and p = 0.0023, OR = 4.32 (95% CI 1.69, 11.1), respectively. The carriers of these variants do not have signs of osteogenesis imperfecta other than low BMD, demonstrating that similar mutations in COL1A2 can affect skeletal phenotypes in more than one way. © 2015 American Society for Bone and Mineral Research.
Styrkarsdottir, U, Thorleifsson, G, Gudjonsson, SA, Sigurdsson, A, Center, JR, Lee, SH, Nguyen, TV, Kwok, TCY, Lee, JSW, Ho, SC, Woo, J, Leung, P-C, Kim, B-J, Rafnar, T, Kiemeney, LA, Ingvarsson, T, Koh, J-M, Tang, NLS, Eisman, JA, Christiansen, C, Sigurdsson, G, Thorsteinsdottir, U & Stefansson, K 2016, 'Sequence variants in the PTCH1 gene associate with spine bone mineral density and osteoporotic fractures', Nature Communications, vol. 7, no. 1, pp. 1-8.
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AbstractBone mineral density (BMD) is a measure of osteoporosis and is useful in evaluating the risk of fracture. In a genome-wide association study of BMD among 20,100 Icelanders, with follow-up in 10,091 subjects of European and East-Asian descent, we found a new BMD locus that harbours the PTCH1 gene, represented by rs28377268 (freq. 11.4–22.6%) that associates with reduced spine BMD (P=1.0 × 10−11, β=−0.09). We also identified a new spine BMD signal in RSPO3, rs577721086 (freq. 6.8%), that associates with increased spine BMD (P=6.6 × 10−10, β=0.14). Importantly, both variants associate with osteoporotic fractures and affect expression of the PTCH1 and RSPO3 genes that is in line with their influence on BMD and known biological function of these genes. Additional new BMD signals were also found at the AXIN1 and SOST loci and a new lead SNP at the EN1 locus.
Su, QP, Du, W, Ji, Q, Xue, B, Jiang, D, Zhu, Y, Ren, H, Zhang, C, Lou, J, Yu, L & Sun, Y 2016, 'Vesicle Size Regulates Nanotube Formation in the Cell', Scientific Reports, vol. 6, no. 1, pp. 24002-24002.
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AbstractIntracellular membrane nanotube formation and its dynamics play important roles for cargo transportation and organelle biogenesis. Regarding the regulation mechanisms, while much attention has been paid on the lipid composition and its associated protein molecules, effects of the vesicle size has not been studied in the cell. Giant unilamellar vesicles (GUVs) are often used for in vitro membrane deformation studies, but they are much larger than most intracellular vesicles and the in vitro studies also lack physiological relevance. Here, we use lysosomes and autolysosomes, whose sizes range between 100 nm and 1 μm, as model systems to study the size effects on nanotube formation both in vivo and in vitro. Single molecule observations indicate that driven by kinesin motors, small vesicles (100–200 nm) are mainly transported along the tracks while a remarkable portion of large vesicles (500–1000 nm) form nanotubes. This size effect is further confirmed by in vitro reconstitution assays on liposomes and purified lysosomes and autolysosomes. We also apply Atomic Force Microscopy (AFM) to measure the initiation force for nanotube formation. These results suggest that the size-dependence may be one of the mechanisms for cells to regulate cellular processes involving membrane-deformation, such as the timing of tubulation-mediated vesicle recycling.
Su, S, NuLi, Y, Huang, Z, Miao, Q, Yang, J & Wang, J 2016, 'A High-Performance Rechargeable Mg2+/Li+ Hybrid Battery Using One-Dimensional Mesoporous TiO2(B) Nanoflakes as the Cathode', ACS Applied Materials & Interfaces, vol. 8, no. 11, pp. 7111-7117.
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Mg(2+)/Li(+) hybrid batteries have recently been constructed combining a Mg anode, a Li(+)-intercalation electrode, and an electrolyte containing both Mg(2+) and Li(+). These batteries have been reported to outperform all the previously reported magnesium batteries in terms of specific capacity, cycling stability, and rate capability. Herein, we report the outstanding electrochemical performance of Mg(2+)/Li(+) hybrid batteries consisting of a one-dimensional mesoporous TiO2(B) cathode, a Mg anode, and an electrolyte consisting of 0.5 mol L(-1) Mg(BH4)2 + 1.5 mol L(-1) LiBH4 in tetraglyme. A highly synergetic interaction between Li(+) and Mg(2+) ions toward the pseudo-capacitive reaction is proposed. The hybrid batteries show superior rate performance with 130 mAh g(-1) at 1 C and 115 mAh g(-1) at 2 C, together with excellent cyclability up to 6000 cycles.
Su, Y, Li, J, Wu, C, Wu, P & Li, Z-X 2016, 'Effects of steel fibres on dynamic strength of UHPC', Construction and Building Materials, vol. 114, pp. 708-718.
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In modern civil engineering, steel fibres are widely used as reinforcement in the design of high performance concrete material. The addition of steel fibres in the concrete matrix can greatly improve the material ductility and durability as well as the impact and abrasion resistance. The performance of steel fibre reinforced concrete changes with varying concretes, fibre geometries, distribution, orientation and densities. In the recent study, an innovative ultra-high performance concrete (UHPC) material with nano-material addition is developed. In the mix design of this UHPC material, steel fibre is taken as an important composite. Great improvement of static compressive strength and split tensile strength had been obtained. In the current research, Split-Hopkinson-Pressure-Bar (SHPB) tests are conducted on this UHPC material to investigate its dynamic properties. Different types of steel fibres including two kinds of micro fibres and two kinds of twisted fibres are mixed in the UHPC. In total, 80 UHPC samples were tested in Swinburne University of Technology in 2011 and 190 specimens were tested in the Central South University of China in 2013. The influence of steel fibre addition on the dynamic strength of UHPC is experimentally investigated. It is found that steel fibre additions have prominent influence on the concrete dynamic strength, however, Dynamic Increase Factors (DIF) of steel fibre reinforced UHPC are constantly lower than that of conventional concrete material.
Su, Y, Li, J, Wu, C, Wu, P & Li, Z-X 2016, 'Influences of nano-particles on dynamic strength of ultra-high performance concrete', Composites Part B: Engineering, vol. 91, pp. 595-609.
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Known for its high strength, ductility and durability, ultra-high performance concrete (UHPC) is a topic of interest in recent years for scientists and civil engineers. Great potential application of UHPC has driven increasingly more investments and research into this industry. In recent studies, taken advantage of the nanotechnology, novel UHPC material with nano material addition was developed. Great static performance improvement was observed when compared with normal strength concrete. To obtain full understanding of material properties, especially dynamic performance, Split-Hopkinson Pressure Bar (SHPB) tests were conducted on this new concrete material. For comparison purpose, static properties from uniaxial compression and split tensile tests are obtained and discussed. In this paper, effects of nanomaterials on behaviour of UHPC are assessed through group comparison. Dynamic increase factor (DIF) values for both the dynamic compressive strength and tensile strength are generated. It is found that the strength of UHPC increases with the rising of strain rates and dosage of nano material influences UHPC dynamic properties. However, UHPC is noted to be less rate sensitive comparing with normal strength concrete. Microscopy analysis including Scanning Electron Microscope (SEM) Analysis, X-Ray Diffraction (XRD) Analysis and X-Ray Fluorescence (XRF) Analysis are conducted to understand the macroscopic failure phenomenon, element composition and concrete hydration process.
Subhani, M, Li, J & Samali, B 2016, 'Separation of longitudinal and flexural wave in a cylindrical structure based on sensor arrangement for non-destructive evaluation', Journal of Civil Structural Health Monitoring, vol. 6, no. 3, pp. 411-427.
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© 2016, Springer-Verlag Berlin Heidelberg. Low strain integrity testing is commonly used to assess the in situ condition of the poles or piles. For poles, it is important to calculate the embedment length and location of damage which is highly influenced by the accurate determination of the wave velocity. In general, depending on impact location and orientation, both longitudinal and bending waves may generate inside the pole, and these two waves have very distinct characteristics and wave velocity. These differences are even more prominent in the low frequency which is usually induced in the low strain non-destructive testing. Consequently, it will be useful if these two waves can be separated for the condition assessment of the poles. In this paper, a numerical analysis is performed on a pole considering that both waves are generated, and a method is proposed to differentiate these two waves based on an appropriate sensor arrangement that includes the location and the orientation of the sensors. Continuous wavelet transform is applied on the numerical signal to calculate the phase velocity of the waves and compared with analytical phase velocity curves. From the results, it can be seen that appropriate location and orientation of the sensors can separate the longitudinal and flexural waves as they match significantly well with the corresponding analytical phase velocity curves of these two waves.
Subhani, M, Li, J, Samali, B & Crews, K 2016, 'Reducing the effect of wave dispersion in a timber pole based on transversely isotropic material modelling', Construction and Building Materials, vol. 102, pp. 985-998.
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© 2015 Elsevier Ltd. Round timbers are used for telecommunication and power distribution networks, jetties, piles, short span bridges etc. To assess the condition of these cylindrical shape timber structures, bulk and elementary wave theory are usually used. Even though guided wave can represents the actual wave behaviour, a great deal complexity exists to model stress wave propagation within an orthotropic media, such as timber. In this paper, timber is modelled as transversely isotropic material without compromising the accuracy to a great extent. Dispersion curves and mode shapes are used to propose an experimental set up in terms of the input frequency and bandwidth of the signal, the orientation of the sensor and the distance between the sensors in order to reduce the effect of the dispersion in the output signal. Some example based on the simulated signal is also discussed to evaluate the proposed experimental set up.
Sui, C, Luo, Q, He, X, Tong, L, Zhang, K, Zhang, Y, Zhang, Y, Wu, J & Wang, C 2016, 'A study of mechanical peeling behavior in a junction assembled by two individual carbon nanotubes', Carbon, vol. 107, pp. 651-657.
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Sui, Y, Ye, D, Su, Y & Xue, J 2016, 'Eliminating Redundant Bounds Checks in Dynamic Buffer Overflow Detection Using Weakest Preconditions', IEEE Transactions on Reliability, vol. 65, no. 4, pp. 1682-1699.
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Sun, D, You, G, Annan, Z & Daichao, S 2016, 'Soil–water retention curves and microstructures of undisturbed and compacted Guilin lateritic clay', Bulletin of Engineering Geology and the Environment, vol. 75, no. 2, pp. 781-791.
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Sun, D, Zhang, J, Gao, Y & Sheng, D 2016, 'Influence of Suction History on Hydraulic and Stress-Strain Behavior of Unsaturated Soils', International Journal of Geomechanics, vol. 16, no. 6.
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Sun, F, Liu, B, Hou, F, Zhou, H, Chen, J, Rui, Y & Gui, L 2016, 'A QoE centric distributed caching approach for vehicular video streaming in cellular networks', Wireless Communications and Mobile Computing, vol. 16, no. 12, pp. 1612-1624.
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AbstractDistributed caching‐empowered wireless networks can greatly improve the efficiency of data storage and transmission and thereby the users' quality of experience (QoE). However, how this technology can alleviate the network access pressure while ensuring the consistency of content delivery is still an open question, especially in the case where the users are in fast motion. Therefore, in this paper, we investigate the caching issue emerging from a forthcoming scenario where vehicular video streaming is performed under cellular networks. Specifically, a QoE centric distributed caching approach is proposed to fulfill as many users' requests as possible, considering the limited caching space of base stations and basic user experience guarantee. Firstly, a QoE evaluation model is established using verified empirical data. Also, the mathematic relationship between the streaming bit rate and actual storage space is developed. Then, the distributed caching management for vehicular video streaming is formulated as a constrained optimization problem and solved with the generalized–reduced gradient method. Simulation results indicate that our approach can improve the users' satisfaction ratio by up to 40%. Copyright © 2015 John Wiley & Sons, Ltd.
Sun, G, Jiang, H, Fang, J, Li, G & Li, Q 2016, 'Crashworthiness of vertex based hierarchical honeycombs in out-of-plane impact', Materials & Design, vol. 110, pp. 705-719.
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As a class of widely observed materials in nature, hierarchical micro structures maybe of superior mechanical properties. In this study, we incorporate the concept of hierarchy into honeycomb structures for enhancing their crashworthiness performance. Hierarchical honeycombs are constructed by replacing every vertex of a regular hexagonal network with a smaller hexagon topology and repeating this process for constructing fractal-appearing honeycombs with higher order of structural hierarchy. To examine the crashing characteristics the hierarchical honeycombs with the first-order and second-order structures were investigated under an out of the cross-sectional plane loading. A parametric study on structural variables (γ1, γ2) which are defined by γi = Li / L0 (L0 is the edge length of regular honeycomb cell, Li is the edge length of i-th order hexagon in hierarchical honeycombs) and oblique-wall angles θ which is defined by the angle of oblique-wall edge to the vertical direction are undertaken with three different densities. A comparison between regular honeycombs and hierarchical honeycombs was conducted. The results showed that the out-of-plane energy absorption of the first-order hierarchical honeycombs with 0.04 ≤ γ1 ≤ 0.2 and the second-order hierarchical honeycombs with 0.15 ≤ γ1 ≤ 0.2 and 0.04 ≤ γ2 ≤ 0.08, as well as the hierarchical honeycombs with oblique-wall angle θ from 30° to 50° have better overall performance. Further, it was found that the specific energy absorptions (SEA) of the first-order hierarchy with γ1 = 0.08 and the second-order hierarchy with γ1 = 0.20, γ2 = 0.06 were improved about 81.3% and 185.7%, respectively. Moreover, their corresponding peak forces (Pmax) do not increase much compared with the regular honeycomb under the same density, indicating that hierarchical honeycombs can be an ideal lightweight structure for designing crashworthy structures.
Sun, J, Boon, CC, Zhu, X, Yi, X, Devrishi, K & Meng, F 2016, 'A Low-Power Low-Phase-Noise VCO With Self-Adjusted Active Resistor', IEEE Microwave and Wireless Components Letters, vol. 26, no. 3, pp. 201-203.
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This letter presents a low-power low-phase-noise VCO with self-adjusted active resistor (SAAR). A pair of PMOS transistors is introduced between cross-coupled pairs and LC-tank, serving as the SAAR. When cross-coupled transistor resides in the saturation region, SAAR exhibits small resistance, enabling fast switching and suppressing flicker noise up-conversion to 1/f3 phase noise. Moreover, as cross-coupled transistor enters triode region, SAAR will adjust to larger resistance and prevent the small conducting resistance of the cross-coupled transistor degrading the quality factor of LC tank. Fabricated in a 65 nm CMOS technology, the proposed VCO demonstrates a tuning range of 5.07-6.35 GHz (22.4%) with only 0.42 mW power consumption at 0.6 V supply. The phase noise in the worst case is -40.8 dBc/Hz at 1 kHz and -111 dBc/Hz at 1 MHz, respectively
Sun, J, Dai, X, Wang, Q, Pan, Y & Ni, B-J 2016, 'Modelling Methane Production and Sulfate Reduction in Anaerobic Granular Sludge Reactor with Ethanol as Electron Donor', Scientific Reports, vol. 6, no. 1, p. 35312.
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AbstractIn this work, a mathematical model based on growth kinetics of microorganisms and substrates transportation through biofilms was developed to describe methane production and sulfate reduction with ethanol being a key electron donor. The model was calibrated and validated using experimental data from two case studies conducted in granule-based Upflow Anaerobic Sludge Blanket reactors. The results suggest that the developed model could satisfactorily describe methane and sulfide productions as well as ethanol and sulfate removals in both systems. The modeling results reveal a stratified distribution of methanogenic archaea, sulfate-reducing bacteria and fermentative bacteria in the anaerobic granular sludge and the relative abundances of these microorganisms vary with substrate concentrations. It also indicates sulfate-reducing bacteria can successfully outcompete fermentative bacteria for ethanol utilization when COD/SO42− ratio reaches 0.5. Model simulation suggests that an optimal granule diameter for the maximum methane production efficiency can be achieved while the sulfate reduction efficiency is not significantly affected by variation in granule size. It also indicates that the methane production and sulfate reduction can be affected by ethanol and sulfate loading rates, and the microbial community development stage in the reactor, which provided comprehensive insights into the system for its practical operation.
Sun, L, Ma, J, Zhang, Y, Dong, H & Hussain, FK 2016, 'Cloud-FuSeR: Fuzzy ontology and MCDM based cloud service selection', Future Generation Computer Systems, vol. 57, pp. 42-55.
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Sun, Q, Indraratna, B & Nimbalkar, S 2016, 'An Elasto-plastic Method for Analysing the Deformation of the Railway Ballast', Procedia Engineering, vol. 143, pp. 954-960.
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© 2016 The Authors. Published by Elsevier B.V.In this study, a series of monotonically drained triaxial tests were conducted using the large-scale cylindrical triaxial apparatus. The effect of particle breakage and confining pressure on the mechanical behaviour of ballast were investigated. Based on the experimental findings, mathematical expressions for critical state stress ratio and specific volume are proposed to incorporate the evolution of particle breakage during monotonic shearing. An elasto-plastic constitutive model is formulated within the critical state soil mechanics framework in order to capture the stress-strain behaviour and degradation of ballast. The non-linear variation of shear strength envelope at a given range of confining pressures is taken into account. Mathematical expressions for shear hardening and stress-dilatancy relations are proposed. The constitutive model is calibrated against the results of large-scale laboratory tests and further validated using experimental results available from past independent studies. It is proved that the proposed method can promisingly predict the deformation of the ballast layer in a typical railway environment.
Sun, QD, Indraratna, B & Nimbalkar, S 2016, 'Deformation and Degradation Mechanisms of Railway Ballast under High Frequency Cyclic Loading', Journal of Geotechnical and Geoenvironmental Engineering, vol. 142, no. 1, pp. 04015056-04015056.
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Sun, X, Xue, Z, Zhu, J, Guo, Y, Yang, Z, Chen, L & Chen, J 2016, 'Suspension Force Modeling for a Bearingless Permanent Magnet Synchronous Motor Using Maxwell Stress Tensor Method', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-5.
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© 2016 IEEE. Bearingless permanent magnet synchronous motors (BPMSMs) have been received more and more attention during the past few decades. To realize the high-performance control for rotation and levitation, we will first need to obtain the accurate suspension force model of a BPMSM. In this work, different from conventional suspension force models, a modeling scheme for the suspension force of a BPMSM is presented by taking into account rotor eccentricity with the Maxwell stress tensor modeling scheme. The theoretical value of a suspension force model is compared by the two-dimensional finite element (FE) analysis, and calculation results reveal that the theoretical value closely agree with the FE computed one. Furthermore, the digital control system is devised by taking advantage of TMS320F2812, and a test platform for experiments is then set up. In accordance with the corresponding findings of the experiments, the rotor stabilization with magnetic levitation can be achieved. The results lay a theoretical and experimental foundation for further study of the BPMSM.
Sun, Y, Zhao, L, Zhou, G & Yan, L 2016, 'Absolute Orientation Based on Distance Kernel Functions', Remote Sensing, vol. 8, no. 3, pp. 213-213.
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The classical absolute orientation method is capable of transforming tie points (TPs) from a local coordinate system to a global (geodetic) coordinate system. The method is based only on a unique set of similarity transformation parameters estimated by minimizing the total difference between all ground control points (GCPs) and the fitted points. Nevertheless, it often yields a transformation with poor accuracy, especially in large-scale study cases. To address this problem, this study proposes a novel absolute orientation method based on distance kernel functions, in which various sets of similarity transformation parameters instead of only one set are calculated. When estimating the similarity transformation parameters for TPs using the iterative solution of a non-linear least squares problem, we assigned larger weighting matrices for the GCPs for which the distances from the point are short. The weighting matrices can be evaluated using the distance kernel function as a function of the distances between the GCPs and the TPs. Furthermore, we used the exponential function and the Gaussian function to describe distance kernel functions in this study. To validate and verify the proposed method, six synthetic and two real datasets were tested. The accuracy was significantly improved by the proposed method when compared to the classical method, although a higher computational complexity is experienced
Surawski, NC, Sullivan, AL, Roxburgh, SH & Polglase, PJ 2016, 'Estimates of greenhouse gas and black carbon emissions from a major Australian wildfire with high spatiotemporal resolution', JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, vol. 121, no. 16, pp. 9892-9907.
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© 2016. American Geophysical Union. All Rights Reserved. Estimates of greenhouse gases and particulate emissions are made with a high spatiotemporal resolution from the Kilmore East fire in Victoria, Australia, which burnt approximately 100,000 ha over a 12 h period. Altogether, 10,175 Gigagrams (Gg) of CO 2 equivalent (CO 2 -e) emissions occurred, with CO 2 (~68%) being the dominant chemical species emitted followed by CH 4 (~17%) and black carbon (BC) (~15%). About 63% of total CO 2 -e emissions were estimated to be from coarse woody debris, 22% were from surface fuels, 7% from bark, 6% from elevated fuels, and less than 2% from tree crown consumption. To assess the quality of our emissions estimates, we compared our results with previous estimates which used the Global Fire Emissions Database version 3.1 (GFED v3.1 ) and the Fire INventory from the National Center for Atmospheric Research version 1.0 (FINNv1), as well as Australia’s National Inventory System (and its revision). The uncertainty in emission estimates was addressed using truncated Monte Carlo analysis, which derived a probability density function for total emissions from the uncertainties in each input. The distribution of emission estimates from Monte Carlo analysis was lognormal with a mean of 10,355 Gigagrams (Gg) and a ±1 standard deviation (σ) uncertainty range of 7260-13,450 Gg. Results were in good agreement with the global data sets (when using the same burnt area), although they predicted lower total emissions by 15-37% due to underestimating fuel consumed. Emissions estimates can be improved by obtaining better estimates of fuel consumed and BC emission factors. Overall, this study presents a methodological template for high-resolution emissions accounting and its uncertainty, enabling a step toward process-based emissions accounting to be achieved.
Surawski, NC, Sullivan, AL, Roxburgh, SH, Meyer, CPM & Polglase, PJ 2016, 'Incorrect interpretation of carbon mass balance biases global vegetation fire emission estimates', NATURE COMMUNICATIONS, vol. 7.
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© 2016, Nature Publishing Group. All rights reserved. Vegetation fires are a complex phenomenon in the Earth system with many global impacts, including influences on global climate. Estimating carbon emissions from vegetation fires relies on a carbon mass balance technique that has evolved with two different interpretations. Databases of global vegetation fire emissions use an approach based on 'consumed biomass', which is an approximation to the biogeochemically correct 'burnt carbon' approach. Here we show that applying the 'consumed biomass' approach to global emissions from vegetation fires leads to annual overestimates of carbon emitted to the atmosphere by 4.0% or 100 Tg compared with the 'burnt carbon' approach. The required correction is significant and represents ∼9% of the net global forest carbon sink estimated annually. Vegetation fire emission studies should use the 'burnt carbon' approach to quantify and understand the role of this burnt carbon, which is not emitted to the atmosphere, as a sink enriched in carbon.
Sutter, D, Berta, M & Tomamichel, M 2016, 'Multivariate Trace Inequalities', Communications in Mathematical Physics: Volume 352, Number 1 (2017), Page 37-58, vol. 352, no. 1, pp. 37-58.
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We prove several trace inequalities that extend the Golden-Thompson and theAraki-Lieb-Thirring inequality to arbitrarily many matrices. In particular, westrengthen Lieb's triple matrix inequality. As an example application of ourfour matrix extension of the Golden-Thompson inequality, we prove remainderterms for the monotonicity of the quantum relative entropy and strongsub-additivity of the von Neumann entropy in terms of recoverability. We findthe first explicit remainder terms that are tight in the commutative case. Ourproofs rely on complex interpolation theory as well as asymptotic spectralpinching, providing a transparent approach to treat generic multivariate traceinequalities.
Sutton, SK, Carter, DR, Kim, P, Tan, O, Arndt, GM, Zhang, XD, Baell, J, Noll, BD, Wang, S, Kumar, N, McArthur, GA, Cheung, BB & Marshall, GM 2016, 'A novel compound which sensitizes BRAF wild-type melanoma cells to vemurafenib in a TRIM16-dependent manner', Oncotarget, vol. 7, no. 32, pp. 52166-52178.
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There is an urgent need for better therapeutic options for advanced melanoma patients, particularly those without the BRAFV600E/K mutation. In melanoma cells, loss of TRIM16 expression is a marker of cell migration and metastasis, while the BRAF inhibitor, vemurafenib, induces melanoma cell growth arrest in a TRIM16-dependent manner. Here we identify a novel small molecule compound which sensitized BRAF wild-type melanoma cells to vemurafenib. High throughput, cell-based, chemical library screening identified a compound (C012) which significantly reduced melanoma cell viability, with limited toxicity for normal human fibroblasts. When combined with the BRAFV600E/K inhibitor, vemurafenib, C012 synergistically increased vemurafenib potency in 5 BRAFWT and 4 out of 5 BRAFV600E human melanoma cell lines (Combination Index: CI < 1), and, dramatically reduced colony forming ability. In addition, this drug combination was significantly anti-tumorigenic in vivo in a melanoma xenograft mouse model. The combination of vemurafenib and C012 markedly increased expression of TRIM16 protein, and knockdown of TRIM16 significantly reduced the growth inhibitory effects of the vemurafenib and C012 combination. These findings suggest that the combination of C012 and vemurafenib may have therapeutic potential for the treatment of melanoma, and, that reactivation of TRIM16 may be an effective strategy for patients with this disease.
Tabatabi, M, Zahmati, E, Neshat, M & Shirdel, M 2016, 'A hybrid fuzzy knowledge-based system for forest fire risk forecasting', International Journal of Reasoning-based Intelligent Systems, vol. 8, no. 3/4, pp. 132-132.
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Takami, K, Furukawa, T, Kumon, M, Kimoto, D & Dissanayake, G 2016, 'Estimation of a nonvisible field-of-view mobile target incorporating optical and acoustic sensors', Autonomous Robots, vol. 40, no. 2, pp. 343-359.
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Tam, HHM, Tuan, HD & Ngo, DT 2016, 'Successive Convex Quadratic Programming for Quality-of-Service Management in Full-Duplex MU-MIMO Multicell Networks', IEEE Transactions on Communications, vol. 64, no. 6, pp. 2340-2353.
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© 2016 IEEE. This paper designs jointly optimal linear precoders for both base stations (BSs) and users in a multiuser multi-input multi-output (MU-MIMO) multicell network. The BSs are full-duplexing transceivers while uplink users and downlink users (DLUs) are equipped with multiple antennas. Here, the network quality-of-service (QoS) requirement is expressed in terms of the minimum throughput at the BSs and DLUs. We consider the problems of either QoS-constrained sum throughput maximization or minimum cell throughput maximization. Due to the nonconcavity of the throughput functions, the optimal solutions of these two problems remain unknown in both half-duplexing and full-duplexing networks. The first problem has a nonconcave objective and a nonconvex feasible set, whereas the second problem has a nonconcave and nonsmooth objective. To solve such challenging optimization problems, we develop iterative low-complexity algorithms that only invoke one simple convex quadratic program at each iteration. Since the objective value is proved to iteratively increase, our path-following algorithms converge at least to the local optimum of the original nonconvex problems. Due to their guaranteed convergence, simple implementation, and low complexity, the devised algorithms lend themselves to practical precoder designs for large-scale full-duplex MU-MIMO multicell networks. Numerical results demonstrate the advantages of our successive convex quadratic programming framework over existing solutions.
Tan, S, Cui, J, Fu, Q, Nam, E, Ladewig, K, Ren, JM, Wong, EHH, Caruso, F, Blencowe, A & Qiao, GG 2016, 'Photocontrolled Cargo Release from Dual Cross-Linked Polymer Particles', ACS Applied Materials & Interfaces, vol. 8, no. 9, pp. 6219-6228.
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Burst release of a payload from polymeric particles upon photoirradiation was engineered by altering the cross-linking density. This was achieved via a dual cross-linking concept whereby noncovalent cross-linking was provided by cyclodextrin host-guest interactions, and irreversible covalent cross-linking was mediated by continuous assembly of polymers (CAP). The dual cross-linked particles (DCPs) were efficiently infiltrated (∼80-93%) by the biomacromolecule dextran (molecular weight up to 500 kDa) to provide high loadings (70-75%). Upon short exposure (5 s) to UV light, the noncovalent cross-links were disrupted resulting in increased permeability and burst release of the cargo (50 mol % within 1 s) as visualized by time-lapse fluorescence microscopy. As sunlight contains UV light at low intensities, the particles can potentially be incorporated into systems used in agriculture, environmental control, and food packaging, whereby sunlight could control the release of nutrients and antimicrobial agents.
Tang, J, Huang, Y, Gong, Y, Lyu, H, Wang, Q & Ma, J 2016, 'Preparation of a novel graphene oxide/Fe-Mn composite and its application for aqueous Hg(II) removal', Journal of Hazardous Materials, vol. 316, pp. 151-158.
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A novel graphene oxide/Fe-Mn (GO/Fe-Mn) composite was synthesized (molar ratio of Fe/Mn=3/1 and mass ratio of Fe/GO=1/7.5) and investigated for the sorption characteristics and mechanisms of aqueous mercury (Hg(2+)) as well as the biological effects to wheat and rice. Characterization tests showed that Fe-Mn oxides were impregnated onto GO sheets in an amorphous form through oxygen-containing functional groups (i.e., CO, epoxy COC, carboxyl OCO, and CO) and π-π interactions. GO/Fe-Mn possessed large surface area, surface enhanced Raman scattering with more sp(3) defects, and greater thermal stability than GO. XPS analysis revealed that Fe2O3, FeOOH, MnO2, MnOOH, and MnO were the dominant metal oxides in GO/Fe-Mn. Pseudo-second-order kinetic model and Sips isotherm model fitted well with the sorption kinetic and isotherm data. The maximum sorption capacity for mercury was 32.9mg/g. Ligand exchange and surface complexation were the dominant mechanisms for mercury removal. GO/Fe-Mn greatly reduced the bioavailability of mercury to wheat and rice, even promoted the seedling growth. This work suggests that GO/Fe-Mn can be used as an effective and environmental-friendly adsorbent in heavy metal remediation.
Tang, Z, Zhang, L, Wan, L, Huang, Z, Liu, H, Guo, Z & Yu, X 2016, 'Regeneration of alkaline metal amidoboranes with high purity', International Journal of Hydrogen Energy, vol. 41, no. 1, pp. 407-412.
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In this manuscript, we report a facile and safe process for highly efficient regeneration of dehydrogenated alkaline metal amidoboranes (MNH2BH3, MAB, M = Li, K), in which CH3OH is employed as a digestion reagent; then LiAlH4 is used as a reduction reagent in the presence of NH4Cl giving ammonia borane (NH3BH3, AB) as the intermediate; finally the generated AB reacts with corresponding metal hydride to complete the whole self-contained cycle. Using this chemical process, MABs are reproduced in a high purity of 98%. The byproducts of regeneration procedure can be converted to mass commodity chemicals as recyclable auxiliary reagents utilizing the recycling pathways. More importantly, our finding of successful scission of dehydrogenated polymeric MAB residues into small molecule B species that guarantees to facilitate the following regeneration process, provides a general strategy for the efficient regeneration for other MAB compounds and a potentially viable route for the chemical recycling of metal-B-N containing hydrogen storage materials.
Tavakoli, J, Elliott, DM & Costi, JJ 2016, 'Structure and mechanical function of the inter‐lamellar matrix of the annulus fibrosus in the disc', Journal of Orthopaedic Research, vol. 34, no. 8, pp. 1307-1315.
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ABSTRACTThe inter‐lamellar matrix (ILM) has an average thickness of less than 30 µm and lies between adjacent lamellae in the annulus fibrosus (AF). The microstructure and composition of the ILM have been studied in various anatomic regions of the disc; however, their contribution to AF mechanical properties and structural integrity is unknown. It was suggested that the ILM components, mainly elastic fibers and cross‐bridges, play a role in providing mechanical integrity of the AF. Therefore, the manner in which they respond to different loadings and stabilize adjacent lamellae structure will influence AF tear formation and subsequent herniation. This review paper summarizes the composition, microstructure, and potential role of the ILM in the progression of disc herniation, clarifies the micromechanical properties of the ILM, and proposes critical areas for future studies. There are a number of unknown characteristics of the ILM, such as its mechanical role, impact on AF integrity, and ultrastructure of elastic fibers at the ILM‐lamella boundary. Determining these characteristics will provide important information for tissue engineering, repair strategies, and the development of more‐physiological computational models to study the initiation and propagation of AF tears that lead to herniation and degeneration. © 2016 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 34:1307–1315, 2016.
Tay, A, Pavesi, A, Yazdi, SR, Lim, CT & Warkiani, ME 2016, 'Advances in microfluidics in combating infectious diseases', Biotechnology Advances, vol. 34, no. 4, pp. 404-421.
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One of the important pursuits in science and engineering research today is to develop low-cost and user-friendly technologies to improve the health of people. Over the past decade, research efforts in microfluidics have been made to develop methods that can facilitate low-cost diagnosis of infectious diseases, especially in resource-poor settings. Here, we provide an overview of the recent advances in microfluidic devices for point-of-care (POC) diagnostics for infectious diseases and emphasis is placed on malaria, sepsis and AIDS/HIV. Other infectious diseases such as SARS, tuberculosis, and dengue are also briefly discussed. These infectious diseases are chosen as they contribute the most to disability-adjusted life-years (DALYs) lost according to the World Health Organization (WHO). The current state of research in this area is evaluated and projection toward future applications and accompanying challenges are also discussed.
Tee, AE, Liu, B, Song, R, Li, J, Pasquier, E, Cheung, BB, Jiang, C, Marshall, GM, Haber, M, Norris, MD, Fletcher, JI, Dinger, ME & Liu, T 2016, 'The long noncoding RNA MALAT1 promotes tumor-driven angiogenesis by up-regulating pro-angiogenic gene expression', Oncotarget, vol. 7, no. 8, pp. 8663-8675.
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Neuroblastoma is the most common solid tumor during early childhood. One of the key features of neuroblastoma is extensive tumor-driven angiogenesis due to hypoxia. However, the mechanism through which neuroblastoma cells drive angiogenesis is poorly understood. Here we show that the long noncoding RNA MALAT1 was upregulated in human neuroblastoma cell lines under hypoxic conditions. Conditioned media from neuroblastoma cells transfected with small interfering RNAs (siRNA) targeting MALAT1, compared with conditioned media from neuroblastoma cells transfected with control siRNAs, induced significantly less endothelial cell migration, invasion and vasculature formation. Microarray-based differential gene expression analysis showed that one of the genes most significantly down-regulated following MALAT1 suppression in human neuroblastoma cells under hypoxic conditions was fibroblast growth factor 2 (FGF2). RT-PCR and immunoblot analyses confirmed that MALAT1 suppression reduced FGF2 expression, and Enzyme-Linked Immunosorbent Assays revealed that transfection with MALAT1 siRNAs reduced FGF2 protein secretion from neuroblastoma cells. Importantly, addition of recombinant FGF2 protein to the cell culture media reversed the effects of MALAT1 siRNA on vasculature formation. Taken together, our data suggest that up-regulation of MALAT1 expression in human neuroblastoma cells under hypoxic conditions increases FGF2 expression and promotes vasculature formation, and therefore plays an important role in tumor-driven angiogenesis.
Teng, QF, Li, GF, Zhu, JG & Guo, YG 2016, 'Finite-control-set model predictive control for PMSM systems driven by three-phase four-switch fault-tolerant inverter', Dianji yu Kongzhi Xuebao/Electric Machines and Control, vol. 20, no. 10, pp. 15-22.
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Based on three-phase four-switch inverter, a finite-control-set model predictive control (FCS-MPC) strategy is proposed for permanent magnet synchronous motor (PMSM) drive system with MRAS observer. Because of the reason that permanent magnet flux linkage is varied with temperature change, a MRAS observer was designed to identify permanent magnet flux online. In order to improve the inverter reliability, its switch frequency optimization was taken into account in designing cost function of FCS-MPC. Compared with conventional FCS-MPC, the proposed one in this paper obviously reduces the computation amount of control system. Meanwhile the current feedback characteristic provided by this method can automatically suppress the adverse effect resulting from two capacitor voltages' unbalance of DC bus terminal in three-phase four-switch inverter. Numerical simulation results illustrate that the proposed FCS-MPC can enable whole system to not only run continuously and stably but also achieve satisfactory torque and speed control as well as reduce the average inverter switching frequency.
Teng, QF, Li, GF, Zhu, JG & Guo, YG 2016, 'Sensorless active disturbance rejection model predictive torque control using extended state observer for permanent magnet synchronous motors fed by three-phase four-switch inverter', Kongzhi Lilun Yu Yingyong/Control Theory and Applications, vol. 33, no. 5, pp. 676-684.
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A novel sensorless active disturbance rejection model predictive torque control (ADRMPTC) strategy is developed for permanent magnet synchronous motors (PMSMs) fed by three-phase four-switch inverters, an after-faulttopology for a fault-tolerant three-phase six-switch inverter. Firstly the mathematical model of a PMSM fed by a three-phase four-switch inverter is built. Secondly by the use of technique of extended state observer (ESO), a sensorless estimator is constructed to realize rapid and accurate speed identification. Thirdly an active disturbance rejection controller (ADRC), acting as speed regulator, is designed to realize disturbance estimation and disturbance compensation for the purpose of enhancing robustness. Finally a model predictive torque controller (MPTC) is designed in order to reduce the torque and flux ripples. The resultant ESO-based sensorless ADRMPTC strategy for PMSMs fed by an unhealthy inverter has fault-tolerant ability with dynamical performance very close to the PMSMs fed by a healthy inverter. On the other hand, compared with PI-based MPTC strategy, the ADRMPTC strategy enables the PMSMs to possess better command-following characteristics and stronger robustness in the presence of variations of reference speed and load torque. The simulation results validate the feasibility and effectiveness of the proposed scheme.
Thakur, CS, Afshar, S, Wang, RM, Hamilton, TJ, Tapson, J & van Schaik, A 2016, 'Bayesian Estimation and Inference Using Stochastic Electronics', Frontiers in Neuroscience, vol. 10, no. MAR.
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© 2016 Thakur, Afshar, Wang, Hamilton, Tapson and van Schaik. In this paper, we present the implementation of two types of Bayesian inference problems to demonstrate the potential of building probabilistic algorithms in hardware using single set of building blocks with the ability to perform these computations in real time. The first implementation, referred to as the BEAST (Bayesian Estimation and Stochastic Tracker), demonstrates a simple problem where an observer uses an underlying Hidden Markov Model (HMM) to track a target in one dimension. In this implementation, sensors make noisy observations of the target position at discrete time steps. The tracker learns the transition model for target movement, and the observation model for the noisy sensors, and uses these to estimate the target position by solving the Bayesian recursive equation online. We show the tracking performance of the system and demonstrate how it can learn the observation model, the transition model, and the external distractor (noise) probability interfering with the observations. In the second implementation, referred to as the Bayesian INference in DAG (BIND), we show how inference can be performed in a Directed Acyclic Graph (DAG) using stochastic circuits. We show how these building blocks can be easily implemented using simple digital logic gates. An advantage of the stochastic electronic implementation is that it is robust to certain types of noise, which may become an issue in integrated circuit (IC) technology with feature sizes in the order of tens of nanometers due to their low noise margin, the effect of high-energy cosmic rays and the low supply voltage. In our framework, the flipping of random individual bits would not affect the system performance because information is encoded in a bit stream.
Thakur, CS, Wang, R, Hamilton, TJ, Tapson, J & van Schaik, A 2016, 'A Low Power Trainable Neuromorphic Integrated Circuit That Is Tolerant to Device Mismatch', IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 63, no. 2, pp. 211-221.
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© 2015 IEEE. Random device mismatch that arises as a result of scaling of the CMOS (complementary metal-oxide semi-conductor) technology into the deep submicrometer regime degrades the accuracy of analog circuits. Methods to combat this increase the complexity of design. We have developed a novel neuromorphic system called a trainable analog block (TAB), which exploits device mismatch as a means for random projections of the input to a higher dimensional space. The TAB framework is inspired by the principles of neural population coding operating in the biological nervous system. Three neuronal layers, namely input, hidden, and output, constitute the TAB framework, with the number of hidden layer neurons far exceeding the input layer neurons. Here, we present measurement results of the first prototype TAB chip built using a 65 nm process technology and show its learning capability for various regression tasks. Our TAB chip is tolerant to inherent randomness and variability arising due to the fabrication process. Additionally, we characterize each neuron and discuss the statistical variability of its tuning curve that arises due to random device mismatch, a desirable property for the learning capability of the TAB. We also discuss the effect of the number of hidden neurons and the resolution of output weights on the accuracy of the learning capability of the TAB. We show that the TAB is a low power system-the power dissipation in the TAB with 456 neuron blocks is 1.38 μW.
Thirukumaran, S & Indraratna, B 2016, 'A review of shear strength models for rock joints subjected to constant normal stiffness', Journal of Rock Mechanics and Geotechnical Engineering, vol. 8, no. 3, pp. 405-414.
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The typical shear behaviour of rough joints has been studied under constant normal load/stress (CNL) boundary conditions, but recent studies have shown that this boundary condition may not replicate true practical situations. Constant normal stiffness (CNS) is more appropriate to describe the stress-strain response of field joints since the CNS boundary condition is more realistic than CNL. The practical implications of CNS are movements of unstable blocks in the roof or walls of an underground excavation, reinforced rock wedges sliding in a rock slope or foundation, and the vertical movement of rock-socketed concrete piles. In this paper, the highlights and limitations of the existing models used to predict the shear strength/behaviour of joints under CNS conditions are discussed in depth.
Thirukumaran, S, Indraratna, B, Brown, ET & Kaiser, PK 2016, 'Stability of a Rock Block in a Tunnel Roof Under Constant Normal Stiffness Conditions', Rock Mechanics and Rock Engineering, vol. 49, no. 4, pp. 1587-1593.
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Tian, F, Liu, B, Cai, H, Zhou, H & Gui, L 2016, 'Practical Asynchronous Neighbor Discovery in Ad Hoc Networks With Directional Antennas', IEEE Transactions on Vehicular Technology, vol. 65, no. 5, pp. 3614-3627.
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Neighbor discovery is a crucial step in the initialization of wireless ad hoc networks. When directional antennas are used, this process becomes more challenging since two neighboring nodes must be in transmit and receive states, respectively, pointing their antennas to each other simultaneously. Most of the proposed neighbor discovery algorithms only consider the synchronous system and cannot work efficiently in the asynchronous environment. However, asynchronous neighbor discovery algorithms are more practical and offer many potential advantages. In this paper, we first analyze a one-way handshake-based asynchronous neighbor discovery algorithm by introducing a mathematical model named 'Problem of Coloring Balls.' Then, we extend it to a hybrid asynchronous algorithm that leads to a 24.4% decrease in the expected time of neighbor discovery. Compared with the synchronous algorithms, the asynchronous algorithms require approximately twice the time to complete the neighbor discovery process. Our proposed hybrid asynchronous algorithm performs better than both the two-way synchronous algorithm and the two-way asynchronous algorithm. We validate the practicality of our proposed asynchronous algorithms by OPNET simulations.
Tian, F, Liu, B, Zhou, H, Rui, Y, Chen, J, Xiong, J & Gui, L 2016, 'Caching algorithms for broadcasting and multicasting in disruption tolerant networks', Wireless Communications and Mobile Computing, vol. 16, no. 18, pp. 3377-3390.
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AbstractIn delay and disruption tolerant networks, the contacts among nodes are intermittent. Because of the importance of data access, providing efficient data access is the ultimate aim of analyzing and exploiting disruption tolerant networks. Caching is widely proved to be able to improve data access performance. In this paper, we consider caching schemes for broadcasting and multicasting to improve the performance of data access. First, we propose a caching algorithm for broadcasting, which selects the community central nodes as relays from both network structure perspective and social network perspective. Then, we accommodate the caching algorithm for multicasting by considering the data query pattern. Extensive trace‐driven simulations are conducted to investigate the essential difference between the caching algorithms for broadcasting and multicasting and evaluate the performance of these algorithms. Copyright © 2016 John Wiley & Sons, Ltd.
Tien Bui, D, Ho, T-C, Pradhan, B, Pham, B-T, Nhu, V-H & Revhaug, I 2016, 'GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks', Environmental Earth Sciences, vol. 75, no. 14, p. 1101.
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Tien Bui, D, Pradhan, B, Nampak, H, Bui, Q-T, Tran, Q-A & Nguyen, Q-P 2016, 'Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS', Journal of Hydrology, vol. 540, pp. 317-330.
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This paper proposes a new artificial intelligence approach based on neural fuzzy inference system and metaheuristic optimization for flood susceptibility modeling, namely MONF. In the new approach, the neural fuzzy inference system was used to create an initial flood susceptibility model and then the model was optimized using two metaheuristic algorithms, Evolutionary Genetic and Particle Swarm Optimization. A high-frequency tropical cyclone area of the Tuong Duong district in Central Vietnam was used as a case study. First, a GIS database for the study area was constructed. The database that includes 76 historical flood inundated areas and ten flood influencing factors was used to develop and validate the proposed model. Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Receiver Operating Characteristic (ROC) curve, and area under the ROC curve (AUC) were used to assess the model performance and its prediction capability. Experimental results showed that the proposed model has high performance on both the training (RMSE = 0.306, MAE = 0.094, AUC = 0.962) and validation dataset (RMSE = 0.362, MAE = 0.130, AUC = 0.911). The usability of the proposed model was evaluated by comparing with those obtained from state-of-the art benchmark soft computing techniques such as J48 Decision Tree, Random Forest, Multi-layer Perceptron Neural Network, Support Vector Machine, and Adaptive Neuro Fuzzy Inference System. The results show that the proposed MONF model outperforms the above benchmark models; we conclude that the MONF model is a new alternative tool that should be used in flood susceptibility mapping. The result in this study is useful for planners and decision makers for sustainable management of flood-prone areas.
Tien Bui, D, Tuan, TA, Klempe, H, Pradhan, B & Revhaug, I 2016, 'Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree', Landslides, vol. 13, no. 2, pp. 361-378.
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Preparation of landslide susceptibility maps is considered as the first important step in landslide risk assessments, but these maps are accepted as an end product that can be used for land use planning. The main objective of this study is to explore some new state-of-the-art sophisticated machine learning techniques and introduce a framework for training and validation of shallow landslide susceptibility models by using the latest statistical methods. The Son La hydropower basin (Vietnam) was selected as a case study. First, a landslide inventory map was constructed using the historical landslide locations from two national projects in Vietnam. A total of 12 landslide conditioning factors were then constructed from various data sources. Landslide locations were randomly split into a ratio of 70:30 for training and validating the models. To choose the best subset of conditioning factors, predictive ability of the factors were assessed using the Information Gain Ratio with 10-fold cross-validation technique. Factors with null predictive ability were removed to optimize the models. Subsequently, five landslide models were built using support vector machines (SVM), multi-layer perceptron neural networks (MLP Neural Nets), radial basis function neural networks (RBF Neural Nets), kernel logistic regression (KLR), and logistic model trees (LMT). The resulting models were validated and compared using the receive operating characteristic (ROC), Kappa index, and several statistical evaluation measures. Additionally, Friedman and Wilcoxon signed-rank tests were applied to confirm significant statistical differences among the five machine learning models employed in this study. Overall, the MLP Neural Nets model has the highest prediction capability (90.2 %), followed by the SVM model (88.7 %) and the KLR model (87.9 %), the RBF Neural Nets model (87.1 %), and the LMT model (86.1 %). Results revealed that both the KLR and the LMT models showed promising methods fo...
Tijing, LD, Woo, YC, Shim, W-G, He, T, Choi, J-S, Kim, S-H & Shon, HK 2016, 'Superhydrophobic nanofiber membrane containing carbon nanotubes for high-performance direct contact membrane distillation', JOURNAL OF MEMBRANE SCIENCE, vol. 502, pp. 158-170.
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© 2015 Elsevier B.V. Tailoring the membrane to have superhydrophobicity, coupled with high porosity, adequate pore sizes and narrow pore size distribution, and thin thickness could find potential application for high-performing direct contact membrane distillation (DCMD) process. Electrospinning is an excellent approach in fabricating nanofiber membranes with adequate properties required of an MD membrane. In this study, superhydrophobic, robust, mixed matrix polyvinylidene fluoride-co-hexafluoropropylene (PcH) nanofiber membranes were fabricated incorporating different concentrations (1-5wt%) of carbon nanotubes (CNTs) as nanofillers to impart additional mechanical and hydrophobic properties. The electrospun membrane has been designed to have two cohesive layers, a thin CNT/PcH top layer and a thick neat PcH bottom layer. Through different characterization techniques, CNTs were found to be widely distributed on/in the nanofibers, where more beads-on-string were formed at higher CNT content. However, the beads-on-string did not significantly affect the membrane porosity and pore size, as well as did not degrade the MD performance. Highly-porous structure was observed for all membranes and the nanofiber membrane showed comparable pore sizes with a commercial flat-sheet PVDF membrane but at a much higher porosity (>85%). The contact angle increased to superhydrophobic at 158.5° upon the incorporation of 5wt% CNTs in the nanofiber due to increased roughness and added effect of hydrophobic CNTs. The liquid entry pressure also increased when 5wt% CNT was added compared to the neat PcH nanofiber membrane. The resulting flux of the 5wt% CNT-incorporated nanofiber membrane (24-29.5L/m2h) was consistently higher than the commercial PVDF membrane (18-18.5L/m2h), with an average increase of 33-59% depending on the feed water type (35 or 70g/L NaCl solution) without compromising the salt rejection (>99.99%). The present nanofiber membranes containing CNTs with one-...
To, AWK, Paul, G & Liu, D 2016, 'An approach for identifying classifiable regions of an image captured by autonomous robots in structural environments', Robotics and Computer-Integrated Manufacturing, vol. 37, pp. 90-102.
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© 2015 Elsevier Ltd. Abstract When an autonomous robot is deployed in a structural environment to visually inspect surfaces, the capture conditions of images (e.g. camera's viewing distance and angle to surfaces) may vary due to un-ideal robot poses selected to position the camera in a collision-free manner. Given that surface inspection is conducted by using a classifier trained with surface samples captured with limited changes to the viewing distance and angle, the inspection performance can be affected if the capture conditions are changed. This paper presents an approach to calculate a value that represents the likelihood of a pixel being classifiable by a classifier trained with a limited dataset. The likelihood value is calculated for each pixel in an image to form a likelihood map that can be used to identify classifiable regions of the image. The information necessary for calculating the likelihood values is obtained by collecting additional depth data that maps to each pixel in an image (collectively referred to as a RGB-D image). Experiments to test the approach are conducted in a laboratory environment using a RGB-D sensor package mounted onto the end-effector of a robot manipulator. A naive Bayes classifier trained with texture features extracted from Gray Level Co-occurrence Matrices is used to demonstrate the effect of image capture conditions on surface classification accuracy. Experimental results show that the classifiable regions identified using a likelihood map are up to 99.0% accurate, and the identified region has up to 19.9% higher classification accuracy when compared against the overall accuracy of the same image.
To, VHP, Nguyen, TV, Vigneswaran, S & Ngo, HH 2016, 'A review on sludge dewatering indices', Water Science and Technology, vol. 74, no. 1, pp. 1-16.
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Dewatering of sludge from sewage treatment plants is proving to be a significant challenge due to the large amounts of residual sludges generated annually. In recent years, research and development have focused on improving the dewatering process in order to reduce subsequent costs of sludge management and transport. To achieve this goal, it is necessary to establish reliable indices that reflect the efficiency of sludge dewatering. However, the evaluation of sludge dewaterability is not an easy task due to the highly complex nature of sewage sludge and variations in solid–liquid separation methods. Most traditional dewatering indices fail to predict the maximum cake solids content achievable during full-scale dewatering. This paper reviews the difficulties in assessing sludge dewatering performance, and the main techniques used to evaluate dewatering performance are compared and discussed in detail. Finally, the paper suggests a new dewatering index, namely the modified centrifugal index, which is demonstrated to be an appropriate indicator for estimating the final cake solids content as well as simulating the prototype dewatering process.
To, VHP, Nguyen, TV, Vigneswaran, S, Duc Nghiem, L, Murthy, S, Bustamante, H & Higgins, M 2016, 'Modified centrifugal technique for determining polymer demand and achievable dry solids content in the dewatering of anaerobically digested sludge', Desalination and Water Treatment, vol. 57, no. 53, pp. 25509-25519.
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© 2016 Balaban Desalination Publications. All rights reserved. This study aims to characterize anaerobically digested sludge (ADS) and correlate the sludge characteristics in terms of soluble organic compounds with polymer demand (PD) during sludge conditioning. The PD required to achieve maximum dewatering of the ADS studied is in the range of 8–10 kg polymer/dry ton. The commonly used capillary suction time parameter to evaluate the solid–liquid separation ability was not a reliable indicator for assessing dewatering. Instead, in this study, a modified centrifugal technique proposed by Higgins (Higgins MCT) was used to assess the maximum achievable dry solids content of the biosolids cake. The Higgins MCT is readily obtained using a bench-scale centrifuge equipped with a modified centrifuge bucket. Using the Higgins MCT, the maximum dry solids contents obtained from conditioned ADS was 30 wt%. These values were comparable to the dry solids content obtained from the same sludge at full-scale level. Our results suggest Higgins MCT is suitable for assessing the final dry solids content and simulating the dewatering process.
Tonelli, D, Pietroni, N, Puppo, E, Froli, M, Cignoni, P, Amendola, G & Scopigno, R 2016, 'Stability of Statics Aware Voronoi Grid-Shells', Engineering Structures, vol. 116, pp. 70-82.
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Grid-shells are lightweight structures used to cover long spans with few load-bearing material, as they excel for lightness, elegance and transparency. In this paper we analyze the stability of hex-dominant free-form grid-shells, generated with the Statics Aware Voronoi Remeshing scheme introduced in Pietroni et al. (2015). This is a novel hex-dominant, organic-like and non uniform remeshing pattern that manages to take into account the statics of the underlying surface. We show how this pattern is particularly suitable for free-form grid-shells, providing good performance in terms of both aesthetics and structural behavior. To reach this goal, we select a set of four contemporary architectural surfaces and we establish a systematic comparative analysis between Statics Aware Voronoi Grid-Shells and equivalent state of the art triangular and quadrilateral grid-shells. For each dataset and for each grid-shell topology, imperfection sensitivity analyses are carried out and the worst response diagrams compared. It turns out that, in spite of the intrinsic weakness of the hexagonal topology, free-form Statics Aware Voronoi Grid-Shells are much more effective than their state-of-the-art quadrilateral counterparts.
Tong, LY & Luo, QT 2016, 'Design of cellular structures with multi-volume fractions using topology optimization', Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics, vol. 33, no. 4, pp. 516-521.
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This study presents a method for finding optimum topology of cellular structure made from one material using an appropriate addition manufacturing process and tailored with different volume fractions in different structural domains. The topology optimization problem is firstly formulated allowing multi-volume fractions in cellular structures. An algorithm based on MIS T with multi-thresholds is presented and interfaced with commercial finite element analysis software. Numerical examples for the minimum mean compliance problem with three volume fractions are presented to illustrate the present algorithm. The present numerical results show that, for the optimum topology design with three volume fractions, there exists an optimum combination that yields an additional 10% reduction in the minimum mean compliance when compared to the design with two volume fractions.
Tong, X, Fang, G, Nguyen, D, Lin, J & Cabrera, E 2016, 'An Energy-Balanced Routing Algorithm in Wireless Seismic Sensor Network', Journal of Computational and Theoretical Nanoscience, vol. 13, no. 10, pp. 6823-6833.
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Due to unpredictable geological outdoor environments and imbalances in energy consumption of seismometer nodes in the wireless seismic sensor networks (WSSN), some seismometer nodes fail much earlier than others due to power loss. This would cause hot spot problems, network partitions, and significantly shorten network lifetime. In this paper, we designed an energy-balanced routing algorithm (EBRA) to ensure balanced energy consumption from all seismometer nodes in the WSSN and to enhance the connectivity and lifetime of the WSSN. By aiming at minimizing the imbalance in the residual energy, we divide the routing algorithm into two parts: clustering formation and inter-cluster routing. In clustering formation, we design an energy-balanced clustering algorithm, which selects the cluster head dynamically, based on residual energy, distance between the seismometer node and data collector. The clustering algorithm mitigates hot spot problems by balancing energy consumption among seismometer nodes. In regards to inter-cluster routing, we can relate it to the pareto-candidate set. To reduce the average multi-hop delay from cluster heads to the data collector, we optimize the pareto-candidate set by Hamming distance. In the design of EBRA, we consider minute details such as energy consumed by transmitting bits and impact of average multi-hop delay. This adds to the novelty of this work compared to the existing studies. Simulation results demonstrated a reduction in the average multi-hop delay by 87.5% with network size of 200 nodes in ten different data collector locations. Our algorithm also improves the network lifetime over the others three schemes by 7.8%, 23% and 45.4%, respectively.
Tong, X-Q, Lin, J, Zhang, G-Y & Zhu, X 2016, 'Influence of web plate holes on the radiation noise characteristics of wheels of the high speed train', Journal of Vibroengineering, vol. 18, no. 7, pp. 4870-4884.
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The finite element model of wheels without holes was established to compute its free modal and compare with the experimental result. The relative error was controlled within 5 %, which indicated that the finite element model in this paper was reliable. Based on the finite element and geometric model, the acoustic boundary element model of wheels was established to compute the radiation noise of wheels under the action of radial and normal excitation forces. Results showed that the change trend and value of radiation noises of wheels were similar under the action of two kinds of excitation forces when the analyzed frequency was lower than 1421 Hz. However, the radiation noise of wheels under the action of two kinds of excitation forces was significantly different and presented obvious directivity in three planes with the increase of the analyzed frequency. Then, models of wheels with 5, 6, 9 and ellipse holes were established to compute radiation noises and conduct comparative analysis. Results showed that the radiation noise of wheels with 6 holes was relatively minimum under radial and normal excitations and did not decrease with the increase of the hole number. The radiation noise of wheels with circular holes made certain improvement, compared with the radiation noise of wheels with ellipse holes. Distribution curves for the directivity of radiation noises of various wheels were highly symmetrical in the Z plane and radiation noises had relatively maximum in the position of multiples of 30°. The curve for the directivity of radiation noises of wheels with 5 holes was clearly different from that of other structures in the Y plane.
Torchia, J, Golbourn, B, Feng, S, Ho, KC, Sin-Chan, P, Vasiljevic, A, Norman, JD, Guilhamon, P, Garzia, L, Agamez, NR, Lu, M, Chan, TS, Picard, D, de Antonellis, P, Khuong-Quang, D-A, Planello, AC, Zeller, C, Barsyte-Lovejoy, D, Lafay-Cousin, L, Letourneau, L, Bourgey, M, Yu, M, Gendoo, DMA, Dzamba, M, Barszczyk, M, Medina, T, Riemenschneider, AN, Morrissy, AS, Ra, Y-S, Ramaswamy, V, Remke, M, Dunham, CP, Yip, S, Ng, H-K, Lu, J-Q, Mehta, V, Albrecht, S, Pimentel, J, Chan, JA, Somers, GR, Faria, CC, Roque, L, Fouladi, M, Hoffman, LM, Moore, AS, Wang, Y, Choi, SA, Hansford, JR, Catchpoole, D, Birks, DK, Foreman, NK, Strother, D, Klekner, A, Bognár, L, Garami, M, Hauser, P, Hortobágyi, T, Wilson, B, Hukin, J, Carret, A-S, Van Meter, TE, Hwang, EI, Gajjar, A, Chiou, S-H, Nakamura, H, Toledano, H, Fried, I, Fults, D, Wataya, T, Fryer, C, Eisenstat, DD, Scheinemann, K, Fleming, AJ, Johnston, DL, Michaud, J, Zelcer, S, Hammond, R, Afzal, S, Ramsay, DA, Sirachainan, N, Hongeng, S, Larbcharoensub, N, Grundy, RG, Lulla, RR, Fangusaro, JR, Druker, H, Bartels, U, Grant, R, Malkin, D, McGlade, CJ, Nicolaides, T, Tihan, T, Phillips, J, Majewski, J, Montpetit, A, Bourque, G, Bader, GD, Reddy, AT, Gillespie, GY, Warmuth-Metz, M, Rutkowski, S, Tabori, U, Lupien, M, Brudno, M, Schüller, U, Pietsch, T, Judkins, AR, Hawkins, CE, Bouffet, E, Kim, S-K, Dirks, PB, Taylor, MD, Erdreich-Epstein, A, Arrowsmith, CH, De Carvalho, DD, Rutka, JT, Jabado, N & Huang, A 2016, 'Integrated (epi)-Genomic Analyses Identify Subgroup-Specific Therapeutic Targets in CNS Rhabdoid Tumors', Cancer Cell, vol. 30, no. 6, pp. 891-908.
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We recently reported that atypical teratoid rhabdoid tumors (ATRTs) comprise at least two transcriptional subtypes with different clinical outcomes; however, the mechanisms underlying therapeutic heterogeneity remained unclear. In this study, we analyzed 191 primary ATRTs and 10 ATRT cell lines to define the genomic and epigenomic landscape of ATRTs and identify subgroup-specific therapeutic targets. We found ATRTs segregated into three epigenetic subgroups with distinct genomic profiles, SMARCB1 genotypes, and chromatin landscape that correlated with differential cellular responses to a panel of signaling and epigenetic inhibitors. Significantly, we discovered that differential methylation of a PDGFRB-associated enhancer confers specific sensitivity of group 2 ATRT cells to dasatinib and nilotinib, and suggest that these are promising therapies for this highly lethal ATRT subtype.
Tran, LC, Mertins, A, Huang, X & Safaei, F 2016, 'Comprehensive Performance Analysis of Fully Cooperative Communication in WBANs', IEEE Access, vol. 4, pp. 8737-8756.
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© 2013 IEEE. While relay-based cooperative networks (widely known in the literature as cooperative communication), where relays only forward signals from the sources to the destination, have been extensively researched, fully cooperative systems have not been thoroughly examined. Unlike relay networks, in a fully cooperative network, each node acts as both a source node sending its own data and a relay forwarding its partner's data to the destination. Mutual cooperation between neighboring nodes is believed to improve the overall system error performance, especially when space-time codes are incorporated. However, a comprehensive performance analysis of space-time-coded fully cooperative communication from all three perspectives, namel,y error performance, outage probability, and energy efficiency, is still missing. Answers to the commonly asked questions of whether, in what conditions, and to what extent the space-time-coded fully cooperative communication is better than direct transmission are still unknown. Motivated by this fact and inspired by the increasing popularity of healthcare applications in wireless body area networks (WBANs), this paper derives for the first time a comprehensive performance analysis of a decode-and-forward space-time coded fully cooperative communication network in Rayleigh and Rician fading channels in either identically or non-identically distributed fading scenario. Numerical analysis of error performance, outage probability, and energy efficiency, validated by simulations, show that fully cooperative communication is better than direct transmission from all three aspects in many cases, especially at a low-power and low signal-to-noise ratio regime, which is a typical working condition in WBANs.
Tran, NH, Chen, H, Do, TV, Reinhard, M, Ngo, HH, He, Y & Gin, KY-H 2016, 'Simultaneous analysis of multiple classes of antimicrobials in environmental water samples using SPE coupled with UHPLC-ESI-MS/MS and isotope dilution', Talanta, vol. 159, pp. 163-173.
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Tran, TT, ElBadawi, C, Totonjian, D, Lobo, CJ, Grosso, G, Moon, H, Englund, DR, Ford, MJ, Aharonovich, I & Toth, M 2016, 'Robust multicolor single photon emission from point defects in hexagonal boron nitride', 2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings, vol. 2017-January, no. 8, pp. 1-2.
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Hexagonal boron nitride (hBN) is an emerging two dimensional material forquantum photonics owing to its large bandgap and hyperbolic properties. Here wereport a broad range of multicolor room temperature single photon emissionsacross the visible and the near infrared spectral ranges from point defects inhBN multilayers. We show that the emitters can be categorized into two generalgroups, but most likely possess similar crystallographic structure. We furthershow two approaches for engineering of the emitters using either electron beamirradiation or annealing, and characterize their photophysical properties. Theemitters exhibit narrow line widths of sub 10 nm at room temperature, and ashort excited state lifetime with high brightness. Remarkably, the emitters areextremely robust and withstand aggressive annealing treatments in oxidizing andreducing environments. Our results constitute the first step towardsdeterministic engineering of single emitters in 2D materials and hold greatpromise for the use of defects in boron nitride as sources for quantuminformation processing and nanophotonics.
Tran, TT, Zachreson, C, Berhane, AM, Bray, K, Sandstrom, RG, Li, LH, Taniguchi, T, Watanabe, K, Aharonovich, I & Toth, M 2016, 'Quantum Emission from Defects in Single Crystal Hexagonal Boron Nitride', Physical Review Applied, vol. 5, no. 3.
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Bulk hexagonal boron nitride (hBN) is a highly nonlinear natural hyperbolicmaterial that attracts major attention in modern nanophotonics applications.However, studies of its optical properties in the visible part of the spectrumand quantum emitters hosted by bulk hBN have not been reported to date. In thiswork we study the emission properties of hBN crystals in the red spectral rangeusing sub-bandgap optical excitation. Quantum emission from defects is observedat room temperature and characterized in detail. Our results advance the use ofhBN in quantum nanophotonics technologies and enhance our fundamentalunderstanding of its optical properties.
Trianni, A, Cagno, E & Farné, S 2016, 'Barriers, drivers and decision-making process for industrial energy efficiency: A broad study among manufacturing small and medium-sized enterprises', Applied Energy, vol. 162, pp. 1537-1551.
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Energy efficiency has been recognized as a primary means to increase the competitiveness of the industrial sector, and in particular for small and medium-sized enterprises (SMEs), in which energy efficiency measures (EEMs) are scarcely implemented. For this reason, future policies should carefully address such issue. Hence, it is really crucial to have a precise and punctual knowledge of the barriers to be tackled in the decision-making process of adopting an EEM and the drivers to be promoted. This study discussed the findings from a broad investigation within 222 manufacturing SMEs located in a Northern Italy region. Beside economic issues particularly affecting SMEs, awareness and behavioural issues emerge as critical, affecting the very first steps of the decision-making process, related to the punctual identification and evaluation of plausible EEMs. The support from manufacturers, technology suppliers, installers and ESCOs supporting SMEs through vocational training drivers (e.g. technical support) is really important to tackle such issues. More generally, beside financial institutions, the supply chain of technologies is recognized as particularly useful for supporting enterprises in the adoption of EEMs. Additionally, having previously conducted energy audit and implemented EEMs are critical factors able to highlight non-economic barriers and drivers. Therefore, the promotion of EEMs will necessarily imply a further effort in pointing out the so-called non-energy benefits (NEBs) from the implementation of EEMs. Finally, our study reveals that smaller and non-energy intensive emerge as most critical and therefore deserve greater attention from policy-makers.
Tso, I, Zhang, S, Tan, W, Peng, P & Blamires, SJ 2016, 'Prey Luring Coloration of A Nocturnal Semi‐Aquatic Predator', Ethology, vol. 122, no. 8, pp. 671-681.
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AbstractBody coloration serves a variety of purposes in animals. Diurnal and nocturnal predators such as spiders may use their body coloration to lure prey. We predicted here that the white patches on the forelegs on females of the nocturnal semi‐aquatic spider Dolomedes raptor lure prey, explaining why they are primarily displayed when the spider forages along the water edge. To test our prediction, we developed a color vision model assessing whether the patches are visible to pygmy grasshoppers, the spider's primary prey. We conducted a field experiment using cardboard dummies that resemble D. raptor in size, shape, and color, but with half of them lacking leg patches, and we staged interactions between pygmy grasshoppers and D. raptor with and without leg patches in a greenhouse. We found the white patches to be visible to grasshoppers. The dummies with white patches attracted more grasshopper prey than the dummies without the patches. Moreover, grasshoppers were more attracted to spiders when their white patches were present. Our results supported the hypothesis that the white patches of D. raptor lure prey. Our findings, nevertheless, could not be explained as the spider's body coloration acting as a sensory trap but it should not be ruled out. More studies on a wider range of predators and prey will give more meaningful insights into the co‐evolution of predatory lures and prey sensory modalities.
Tu, C & Lee, JE-Y 2016, 'Effects of cryogenic cooling on the quality factor of lamb wave mode aluminium nitride piezoelectric-on-silicon MEMS resonators', Sensors and Actuators A: Physical, vol. 244, pp. 15-23.
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Tu, C & Lee, JE-Y 2016, 'VHF-band biconvex AlN-on-silicon micromechanical resonators with enhanced quality factor and suppressed spurious modes', Journal of Micromechanics and Microengineering, vol. 26, no. 6, pp. 065012-065012.
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Turner, KG, Anderson, S, Gonzales-Chang, M, Costanza, R, Courville, S, Dalgaard, T, Dominati, E, Kubiszewski, I, Ogilvy, S, Porfirio, L, Ratna, N, Sandhu, H, Sutton, PC, Svenning, J-C, Turner, GM, Varennes, Y-D, Voinov, A & Wratten, S 2016, 'A review of methods, data, and models to assess changes in the value of ecosystem services from land degradation and restoration', Ecological Modelling, vol. 319, pp. 190-207.
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Ubaidillah, Imaduddin, F, Li, Y, Mazlan, SA, Sutrisno, J, Koga, T, Yahya, I & Choi, S-B 2016, 'A new class of magnetorheological elastomers based on waste tire rubber and the characterization of their properties', Smart Materials and Structures, vol. 25, no. 11, pp. 115002-115002.
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© 2016 IOP Publishing Ltd. This paper proposes a new type of magnetorheological elastomer (MRE) using rubber from waste tires and describes its performance characteristics. In this work, scrap tires were utilized as a primary matrix for the MRE without incorporation of virgin elastomers. The synthesis of the scrap tire based MRE adopted a high-temperature high-pressure sintering technique to achieve the reclaiming of vulcanized rubber. The material properties of the MRE samples were investigated through physical and viscoelastic examinations. The physical tests confirmed several material characteristics - microstructure, magnetic, and thermal properties-while the viscoelastic examination was conducted with a laboratory-made dynamic compression apparatus. It was observed from the viscoelastic examination that the proposed MRE has magnetic-field-dependent properties of the storage modulus, loss modulus, and loss tangent at different excitation frequencies and strain amplitudes. Specifically, the synthesized MRE showed a high zero field modulus, a reasonable MR effect under maximum applied current, and remarkable damping properties.
Ul Islam, S, Rahman, H, Ying, ZC & Saha, SC 2016, 'Comparison of wake structures and force measurements behind three side-by-side cylinders', Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 38, no. 3, pp. 843-858.
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Usman, M, He, X, Lam, K-M, Xu, M, Bokhari, SMM & Chen, J 2016, 'Frame Interpolation for Cloud-Based Mobile Video Streaming', IEEE Transactions on Multimedia, vol. 18, no. 5, pp. 831-839.
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© 2016 IEEE. Cloud-based High Definition (HD) video streaming is becoming popular day by day. On one hand, it is important for both end users and large storage servers to store their huge amount of data at different locations and servers. On the other hand, it is becoming a big challenge for network service providers to provide reliable connectivity to the network users. There have been many studies over cloud-based video streaming for Quality of Experience (QoE) for services like YouTube. Packet losses and bit errors are very common in transmission networks, which affect the user feedback over cloud-based media services. To cover up packet losses and bit errors, Error Concealment (EC) techniques are usually applied at the decoder/receiver side to estimate the lost information. This paper proposes a time-efficient and quality-oriented EC method. The proposed method considers H.265/HEVC based intra-encoded videos for the estimation of whole intra-frame loss. The main emphasis in the proposed approach is the recovery of Motion Vectors (MVs) of a lost frame in real-time. To boost-up the search process for the lost MVs, a bigger block size and searching in parallel are both considered. The simulation results clearly show that our proposed method outperforms the traditional Block Matching Algorithm (BMA) by approximately 2.5 dB and Frame Copy (FC) by up to 12 dB at a packet loss rate of 1%, 3%, and 5% with different Quantization Parameters (QPs). The computational time of the proposed approach outperforms the BMA by approximately 1788 seconds.
Vakhshouri, B & Nejadi, S 2016, 'Mix design of light-weight self-compacting concrete', Case Studies in Construction Materials, vol. 4, pp. 1-14.
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© 2015 Published by Elsevier Ltd. In recent decades, the utilization of mineral and chemical admixtures in concrete technology has led to changes in the formulation and mix design which has, in turn, made the concrete stronger and more durable. Light weight concrete (LWC) is an excellent solution in terms of decreasing the dead load of the structure, while self-compacting concrete (SCC) eases the pouring and removes construction problems. Combining the advantages of LWC and SCC is a new field of research. Considering its light weight of structure and ease of placement, Light-weight self-compacting concrete (LWSCC) may be the answer to the increasing construction requirements of slender and more heavily reinforced structural elements. Twenty one laboratory experimental investigations on the mix proportion, density and mechanical properties of LWSCC have been published in the last 12 years and these are analyzed in this study. The collected information is used to investigate the mix proportions including the chemical and mineral admixtures, light weight and normal weight aggregates, fillers, cement and water. Analyzed results are presented in terms of statistical expressions. It is very helpful for future research to choose the proper components with different ratios and curing conditions to attain the desired concrete grade according to the planned application.
Vakhshouri, B & Nejadi, S 2016, 'Self-compacting light-weight concrete; mix design and proportions', STRUCTURAL ENGINEERING AND MECHANICS, vol. 58, no. 1, pp. 143-161.
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© 2016 Techno-Press, Ltd. Utilization of mineral and chemical admixtures in concrete technology has led to changes in the formulation and mix design in recent decades, which has, in turn, made the concrete stronger and more durable. Lightweight concrete is an excellent solution in terms of decreasing the dead load of the structure, while self-compacting concrete eases the pouring and removes the construction problems. Combining the advantages of lightweight concrete and self-compacting concrete is a new and interesting research topic. Considering its light weight of structure and ease of placement, self-compacting lightweight concrete may be the answer to the increasing construction requirements of slender and more heavily reinforced structural elements. Twenty one laboratory experimental investigations published on the mix proportion, density and mechanical properties of lightweight self-compacting concrete from the last 12 years are analyzed in this study. The collected information is used to investigate the mix proportions including the chemical and mineral admixtures, light weight and normal weight aggregates, fillers, cement and water. Analyzed results are presented in terms of statistical expressions. It is very helpful for future research to choose the proper components with different ratios and curing conditions to attain the desired concrete grade according to the planned application.
Valenzuela-Fernández, L, Nicolas, C, Gil-Lafuente, J & Merigó, JM 2016, 'Fuzzy indicators for customer retention', International Journal of Engineering Business Management, vol. 8, pp. 184797901667052-184797901667052.
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It is widely known that market orientation (MO) and customer value help companies achieve sustainable sales growth over time. Nevertheless, one cannot ignore the existence of a gap on how to measure this relationship. Following this idea, this study proposes six fuzzy key performance indicators that aims to measure customer retention and loyalty of the portfolio. The work uses 300 sales executives. This exploratory study concludes that indicators such as MO, customer orientation (CO), degree of CO value of sales force, innovation capability, lifetime value, and customer service quality positively influence customer retention and loyalty portfolio.
Valipour, H, Khorsandnia, N, Crews, K & Palermo, A 2016, 'Numerical modelling of timber/timber–concrete composite frames with ductile jointed connection', Advances in Structural Engineering, vol. 19, no. 2, pp. 299-313.
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Due to the scarcity of experimental data, this article focuses on the application of detailed finite element models for evaluating structural behaviour of timber–concrete composite frames with post-tensioned beam-to-column joints. In the developed finite element models, nonlinear behaviour and failure mode of timber and concrete under biaxial stress state are captured by hypo-elastic constitutive laws based on the equivalent uniaxial strain concept. In addition to material nonlinearities, the effect of geometrical nonlinearities and nonlinearity of contacts at the concrete slab-to-beam, beam-to-column and slab-to-column interfaces are considered in the finite element models. The accuracy of developed finite element models is verified against available experimental data on post-tensioned timber frames, and the validated analytical tool is used to undertake a parametric study. It is shown that elastic modulus of timber and the details of concrete slab-to-column connection can significantly affect the drift response and failure mode, whereas the compressive strength of timber and stiffness of timber–concrete composite connection have only a minor influence on the drift and failure mode of the timber/timber–concrete composite frames with ductile jointed connections.
Valls Miro, J & Shi, L 2016, 'Aiming for the Holy Grail: Pipe Condition Assessment Along Critical Mains from Limited Inspections', Utility Magazine, vol. 10, pp. 90-92.
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The Advanced Condition Assessment and Pipe Failure Prediction Project is coming up with a novel condition assessment research concept: exploiting data-driven research to improve large critical water mains condition prediction, over extended sections of pipeline, from limitedcondition assessment inspection data.
Vander Poorten, E, Tran, P, Devreker, A, Gruijthuijsen, C, Portoles-Diez, S, Smoljkic, G, Strbac, V, Famaey, N, Reynaerts, D, Vander Sloten, J, Tibebu, A, Yu, B, Rauch, C, Bernard, F, Kassahun, Y, Metzen, JH, Giannarou, S, Zhao, L, Lee, S, Yang, G, Mazomenos, E, Chang, P, Stoyanov, D, Kvasnytsia, M, Van Deun, J, Verhoelst, E, Sette, M, Di Iasio, A, Leo, G, Hertner, F, Scherly, D, Chelini, L, Häni, N, Seatovic, D, Rosa, B, De Praetere, H & Herijgers, P 2016, 'Cognitive AutonomouS CAtheters Operating in Dynamic Environments', Journal of Medical Robotics Research, vol. 01, no. 03, pp. 1640011-1640011.
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Advances in miniaturized surgical instrumentation are key to less demanding and safer medical interventions. In cardiovascular procedures interventionalists turn towards catheter-based interventions, treating patients considered unfit for more invasive approaches. A positive outcome is not guaranteed. The risk for calcium dislodgement, tissue damage or even vessel rupture cannot be eliminated when instruments are maneuvered through fragile and diseased vessels. This paper reports on the progress made in terms of catheter design, vessel reconstruction, catheter shape modeling, surgical skill analysis, decision making and control. These efforts are geared towards the development of the necessary technology to autonomously steer catheters through the vasculature, a target of the EU-funded project Cognitive AutonomouS CAtheters operating in Dynamic Environments (CASCADE). Whereas autonomous placement of an aortic valve implant forms the ultimate and concrete goal, the technology of individual building blocks to reach such ambitious goal is expected to be much sooner impacting and assisting interventionalists in their daily clinical practice.
Vaughan, N & Gabrys, B 2016, 'Comparing and Combining Time Series Trajectories Using Dynamic Time Warping', Procedia Computer Science, vol. 96, pp. 465-474.
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This research proposes the application of dynamic time warping (DTW) algorithm to analyse multivariate data from virtual reality training simulators, to assess the skill level of trainees. We present results of DTW algorithm applied to trajectory data from a virtual reality haptic training simulator for epidural needle insertion. The proposed application of DTW algorithm serves two purposes, to enable (i) two trajectories to be compared as a similarity measure and also enables (ii) two or more trajectories to be combined together to produce a typical or representative average trajectory using a novel hierarchical DTW process. Our experiments included 100 expert and 100 novice simulator recordings. The data consists of multivariate time series data-streams including multi-dimensional trajectories combined with force and pressure measurements. Our results show that our proposed application of DTW provides a useful time-independent method for (i) comparing two trajectories by providing a similarity measure and (ii) combining two or more trajectories into one, showing higher performance compared to conventional methods such as linear mean. These results demonstrate that DTW can be useful within virtual reality training simulators to provide a component in an automated scoring and assessment feedback system.
Vaughan, N, Gabrys, B & Dubey, VN 2016, 'An overview of self-adaptive technologies within virtual reality training', Computer Science Review, vol. 22, pp. 65-87.
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This overview presents the current state-of-the-art of self-adaptive technologies within virtual reality (VR) training. Virtual reality training and assessment is increasingly used for five key areas: medical, industrial & commercial training, serious games, rehabilitation and remote training such as Massive Open Online Courses (MOOCs). Adaptation can be applied to five core technologies of VR including haptic devices, stereo graphics, adaptive content, assessment and autonomous agents. Automation of VR training can contribute to automation of actual procedures including remote and robotic assisted surgery which reduces injury and improves accuracy of the procedure. Automated haptic interaction can enable tele-presence and virtual artefact tactile interaction from either remote or simulated environments. Automation, machine learning and data driven features play an important role in providing trainee-specific individual adaptive training content. Data from trainee assessment can form an input to autonomous systems for customised training and automated difficulty levels to match individual requirements. Self-adaptive technology has been developed previously within individual technologies of VR training. One of the conclusions of this research is that while it does not exist, an enhanced portable framework is needed and it would be beneficial to combine automation of core technologies, producing a reusable automation framework for VR training.
Vigneswaran, S, Kandasamy, J & Johir, MAH 2016, 'Sustainable Operation of Composting in Solid Waste Management', Procedia Environmental Sciences, vol. 35, pp. 408-415.
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Vinnikov, D, Li, Y & Abu-Rub, H 2016, 'Editorial Special Issue on Impedance-Source Converter Topologies and Applications', IEEE Transactions on Power Electronics, vol. 31, no. 11, pp. 7417-7418.
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Voinov, A, Kolagani, N & McCall, MK 2016, 'Preface to this Virtual Thematic Issue: Modelling with Stakeholders II', Environmental Modelling & Software, vol. 79, pp. 153-155.
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Voinov, A, Kolagani, N, McCall, MK, Glynn, PD, Kragt, ME, Ostermann, FO, Pierce, SA & Ramu, P 2016, 'Modelling with stakeholders – Next generation', Environmental Modelling & Software, vol. 77, pp. 196-220.
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Vromen, A, Loader, BD, Xenos, MA & Bailo, F 2016, 'Everyday Making through Facebook Engagement: Young Citizens’ Political Interactions in Australia, the United Kingdom and the United States', Political Studies, vol. 64, no. 3, pp. 513-533.
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The emergence of personalised, interactive forms of social media has led to questions about the use of these platforms for engagement in politics. Existing research focuses on whether political actors successfully engage citizens, and how social media platforms mobilise young people into offline participation. In this article, we present original survey data on how many young people use social media to do politics: share information, express themselves, and take action. Everyday Facebook use is underpinned by young people’s engaged citizenship norms, and it has the potential to mobilise a broader range of young people. We contextualise the survey findings with qualitative analysis of how young people describe their willingness to engage in politics on social media. There is a general reluctance to take political action due to the possibility of conflict and disagreement within their networks; however, some acknowledge it is a way to bring the disengaged into political debate.
Vu, TT, Kha, HH & Tuan, HD 2016, 'Transceiver Design for Optimizing the Energy Efficiency in Multiuser MIMO Channels', IEEE Communications Letters, vol. 20, no. 8, pp. 1507-1510.
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Wakil, MA, Kalam, MA, Masjuki, HH & Rizwanul Fattah, IM 2016, 'Rice bran: A prospective resource for biodiesel production in Bangladesh', International Journal of Green Energy, vol. 13, no. 5, pp. 497-504.
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The increasing demand of renewable energy sources has pressed the need to search for biofuels. The world is not only thrusting for potential sources of biofuels but also surveilling not to hamper the food supply, particularly in the Third World countries, such as Bangladesh. Rice bran oil is a prominent source of biofuels. Rice, the main cereal in Bangladesh, is cultivated all the year round. Rice hull containing bran is mostly wasted and merely used as feedstock for cattle and for cooking purposes. This study considered rice bran as a prospective source of biodiesel in Bangladesh. The properties of oil collected from rice bran were investigated to ensure the production of biodiesel by transesterification. An economic analysis relative to Bangladesh was conducted, and the production rate of biodiesel under different percentage of catalyst was investigated.
Wang, B, Ahmed, M, Wood, B & Iacopi, F 2016, 'All-solid-state supercapacitors on silicon using graphene from silicon carbide', Applied Physics Letters, vol. 108, no. 18, pp. 183903-183903.
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Carbon-based supercapacitors are lightweight devices with high energy storage performance, allowing for faster charge-discharge rates than batteries. Here, we present an example of all-solid-state supercapacitors on silicon for on-chip applications, paving the way towards energy supply systems embedded in miniaturized electronics with fast access and high safety of operation. We present a nickel-assisted graphitization method from epitaxial silicon carbide on a silicon substrate to demonstrate graphene as a binder-free electrode material for all-solid-state supercapacitors. We obtain graphene electrodes with a strongly enhanced surface area, assisted by the irregular intrusion of nickel into the carbide layer, delivering a typical double-layer capacitance behavior with a specific area capacitance of up to 174 μF cm−2 with about 88% capacitance retention over 10 000 cycles. The fabrication technique illustrated in this work provides a strategic approach to fabricate micro-scale energy storage devices compatible with silicon electronics and offering ultimate miniaturization capabilities.
Wang, B, Zhao, F, Du, G, Porter, S, Liu, Y, Zhang, P, Cheng, Z, Liu, HK & Huang, Z 2016, 'Boron-Doped Anatase TiO2 as a High-Performance Anode Material for Sodium-Ion Batteries', ACS Applied Materials & Interfaces, vol. 8, no. 25, pp. 16009-16015.
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Pristine and boron-doped anatase TiO2 were prepared via a facile sol-gel method and the hydrothermal method for application as anode materials in sodium-ion batteries (SIBs). The sol-gel method leads to agglomerated TiO2, whereas the hydrothermal method is conducive to the formation of highly crystalline and discrete nanoparticles. The structure, morphology, and electrochemical properties were studied. The crystal size of TiO2 with boron doping is smaller than that of the nondoped crystals, which indicates that the addition of boron can inhibit the crystal growth. The electrochemical measurements demonstrated that the reversible capacity of the B-doped TiO2 is higher than that for the pristine sample. B-doping also effectively enhances the rate performance. The capacity of the B-doped TiO2 could reach 150 mAh/g at the high current rate of 2C and the capacity decay is only about 8 mAh/g over 400 cycles. The remarkable performance could be attributed to the lattice expansion resulting from B doping and the shortened Li(+) diffusion distance due to the nanosize. These results indicate that B-doped TiO2 can be a good candidate for SIBs.
Wang, C, Cheng, P, Chen, Z, Zhang, JA, Xiao, Y & Gui, L 2016, 'Near-ML Low-Complexity Detection for Generalized Spatial Modulation', IEEE Communications Letters, vol. 20, no. 3, pp. 618-621.
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© 2016 IEEE. Generalized spatial modulation (GSM) is a spectral and energy efficient multiple-input-multiple-output transmission technique. The low-complexity detection algorithm design with near maximum likelihood (ML) performance at the receiver is very challenging, and is the focus of this letter. In specific, we exploit the fixed sparsity constraint in the transmitted GSM signals, and take advantage of Bayesian compressive sensing (BCS) in sparse signal recovery. A new detection algorithm, referred to as enhanced Bayesian compressive sensing (EBCS), is proposed. It features more than 75% complexity reduction at high signal-to-noise ratios compared with the ordered-blocked minimum-mean-squared-error algorithm. Furthermore, it is shown by simulation that its error performance is comparable to the ML algorithm, and the performance gap is negligible in many cases.
Wang, C, Dong, X, Han, L, Su, X-D, Zhang, Z, Li, J & Song, J 2016, 'Identification of WD40 repeats by secondary structure-aided profile–profile alignment', Journal of Theoretical Biology, vol. 398, pp. 122-129.
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A WD40 protein typically contains four or more repeats of ~40 residues ended with the Trp-Asp dipeptide, which folds into β-propellers with four β strands in each repeat. They often function as scaffolds for protein-protein interactions and are involved in numerous fundamental biological processes. Despite their important functional role, the "velcro" closure of WD40 propellers and the diversity of WD40 repeats make their identification a difficult task. Here we develop a new WD40 Repeat Recognition method (WDRR), which uses predicted secondary structure information to generate candidate repeat segments, and further employs a profile-profile alignment to identify the correct WD40 repeats from candidate segments. In particular, we design a novel alignment scoring function that combines dot product and BLOSUM62, thereby achieving a great balance of sensitivity and accuracy. Taking advantage of these strategies, WDRR could effectively reduce the false positive rate and accurately identify more remote homologous WD40 repeats with precise repeat boundaries. We further use WDRR to re-annotate the Pfam families in the β-propeller clan (CL0186) and identify a number of WD40 repeat proteins with high confidence across nine model organisms. The WDRR web server and the datasets are available at http://protein.cau.edu.cn/wdrr/.
Wang, C, Fang, Y & Li, J-Y 2016, 'stimation of NON-WSSUS Channel for OFDM System: Exploiting Support Correlations through a Novel Adaptive Weighted Predict-Re-Estimate L1 Minimization', Journal of Communications, vol. 11, no. 2, pp. 149-156.
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© 2016 Journal of Communications. It is challenging to estimate the wireless channel of the Orthogonal Frequency-Division Multiplexing (OFDM) broadband system under a changing communication environment. The difficulty is mainly attributed to this wireless channel’s Non Wide Sense Stationary Uncorrelated Scattering (Non-WSSUS) which has an implication that the delay and Doppler shift of such a channel are non-stationary and correlated. A Non-WSSUS channel is very different from the classical time-varying channel with constant delay and Doppler shift. In this paper, we propose an estimation method for the Non-WSSUS Channel Impulse Response (CIR) of the OFDM system. Based on the sparsity property of the delay-Doppler spread function, the delay and Doppler shift of Non-WSSUS channel can be extracted through a Compressive Sensing (CS) approach. Then a novel CS algorithm referred as Pre-Re L1 is proposed. The proposed CS algorithm exploits the correlations of the sparse supports to obtain adaptive weights for L1minimization. Numerical Simulation results show that the proposed CS method improves the performance of the Non-WSSUS wireless channel estimation.
Wang, C, Matveev, AS, Savkin, AV, Clout, R & Nguyen, HT 2016, 'A semi-autonomous motorized mobile hospital bed for safe transportation of head injury patients in dynamic hospital environments without bed switching', Robotica, vol. 34, no. 8, pp. 1880-1897.
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SUMMARYWe present a novel motorized semi-autonomous mobile hospital bed guided by a human operator and a reactive navigation algorithm. The proposed reactive navigation algorithm is launched when the sensory device detects that the hospital bed is in the potential danger of collision. The semi-autonomous hospital bed is able to safely and quickly deliver critical neurosurgery (head trauma) patients to target locations in dynamic uncertain hospital environments such as crowded hospital corridors while avoiding en-route steady and moving obstacles. We do not restrict the nature or the motion of the obstacles, meaning that the shapes of the obstacles may be time-varying or deforming and they may undergo arbitrary motions. The only information available to the navigation system is the current distance to the nearest obstacle. Performance of the proposed navigation algorithm is verified via theoretical studies. Simulation and experimental results also confirm the performance of the reactive navigation algorithm in real world scenarios.
Wang, C, Ni, W, Zhang, D, Sun, X, Wang, J, Li, H & Zhang, N 2016, 'Dielectric properties of pure and Mn-doped CaCu3Ti4O12 ceramics over a wide temperature range', Journal of Electroceramics, vol. 36, no. 1-4, pp. 46-57.
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Wang, D, Jin, H, Zou, D, Xu, P, Zhu, T & Chen, G 2016, 'Taming transitive permission attack via bytecode rewriting on Android application', Security and Communication Networks, vol. 9, no. 13, pp. 2100-2114.
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AbstractGoogle Android is popular for mobile devices in recent years. The openness and popularity of Android make it a primary target for malware. Even though Android's security mechanisms could defend most malware, its permission model is vulnerable to transitive permission attack, a type of privilege escalation attacks. Many approaches have been proposed to detect this attack by modifying the Android OS. However, the Android's fragmentation problem and requiring rooting Android device hinder those approaches large‐scale adoption. In this paper, we present an instrumentation framework, called SEAPP, for Android applications (or “apps”) to detect the transitive permission attack on unmodified Android. SEAPP automatically rewrites an app without requiring its source codes and produces a security‐harden app. At runtime, call‐chains are built among these apps and detection process is executed before a privileged API is invoked. Our experimental results show that SEAPP could work on a large number of benign apps from the official Android market and malicious apps, with a repackaged success rate of over 99.8%. We also show that our framework effectively tracks call‐chains among apps and detects known transitive permission attack with low overhead. Copyright © 2016 John Wiley & Sons, Ltd.
Wang, D, Wang, Q, Laloo, A, Xu, Y, Bond, PL & Yuan, Z 2016, 'Achieving Stable Nitritation for Mainstream Deammonification by Combining Free Nitrous Acid-Based Sludge Treatment and Oxygen Limitation', Scientific Reports, vol. 6, no. 1, p. 25547.
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AbstractStable nitritation is a critical bottleneck for achieving autotrophic nitrogen removal using the energy-saving mainstream deammonification process. Herein we report a new strategy to wash out both the Nitrospira sp. and Nitrobacter sp. from the treatment of domestic-strength wastewater. The strategy combines sludge treatment using free nitrous acid (FNA) with dissolved oxygen (DO) control in the nitritation reactor. Initially, the nitrifying reactor achieved full conversion of NH4+ to NO3−. Then, nitrite accumulation at ~60% was achieved in the reactor when 1/4 of the sludge was treated daily with FNA at 1.82 mg N/L in a side-stream unit for 24 h. Fluorescence in-situ hybridization (FISH) revealed FNA treatment substantially reduced the abundance of nitrite oxidizing bacteria (NOB) (from 23.0 ± 4.3 to 5.3 ± 1.9%), especially that of Nitrospira sp. (from 15.7 ± 3.9 to 0.4 ± 0.1%). Nitrite accumulation increased to ~80% when the DO concentration in the mainstream reactor was reduced from 2.5–3.0 to 0.3–0.8 mg/L. FISH revealed the DO limitation further reduced the abundance of NOB (to 2.1 ± 1.0%), especially that of Nitrobacter sp. (from 4.9 ± 1.2 to 1.8 ± 0.8%). The strategy developed removes a major barrier for deammonification in low-strength domestic wastewater.
Wang, D, Wang, Q, Laloo, AE & Yuan, Z 2016, 'Reducing N2O Emission from a Domestic-Strength Nitrifying Culture by Free Nitrous Acid-Based Sludge Treatment', Environmental Science & Technology, vol. 50, no. 14, pp. 7425-7433.
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An increase of nitrite in the domestic-strength range is generally recognized to stimulate nitrous oxide (N2O) production by ammonia-oxidizing bacteria (AOB). It was found in this study, however, that N2O emission from a mainstream nitritation system (cyclic nitrite = 25-45 mg of N/L) that was established by free nitrous acid (FNA)-based sludge treatment was not higher but much lower than that from the initial nitrifying system with full conversion of NH4(+)-N to NO3(-)-N. Under dissolved oxygen (DO) levels of 2.5-3.0 mg/L, N2O emission from the nitritation stage was 76% lower than that from the initial stage. Even when the DO level was reduced to 0.3-0.8 mg/L, N2O emission from the nitritation stage was still 40% lower. An investigation of the mechanism showed that FNA treatment caused a shift of the stimulation threshold of nitrite on N2O emission. At the nitritation stage, the maximal N2O emission factor occurred at ∼16 mg of N/(L of nitrite). However, it increased with increasing nitrite in the range of 0-56 mg of N/L at the initial stage. FNA treatment decreased the biomass-specific N2O production rate, suggesting that the enzymes relevant to nitrifier denitrification were inhibited. Microbial analysis revealed that FNA treatment decreased the microbial community diversity but increased the abundances of AOB and denitrifiers.
Wang, G-G, Deb, S, Gandomi, AH & Alavi, AH 2016, 'Opposition-based krill herd algorithm with Cauchy mutation and position clamping', Neurocomputing, vol. 177, pp. 147-157.
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Krill herd (KH) has been proven to be an efficient algorithm for function optimization. For some complex functions, this algorithm may have problems with convergence or being trapped in local minima. To cope with these issues, this paper presents an improved KH-based algorithm, called Opposition Krill Herd (OKH). The proposed approach utilizes opposition-based learning (OBL), position clamping (PC) and Cauchy mutation (CM) to enhance the performance of basic KH. OBL accelerates the convergence of the method while both PC and heavy-tailed CM help KH escape from local optima. Simulations are implemented on an array of benchmark functions and two engineering optimization problems. The results show that OKH has a good performance on majority of the considered functions and two engineering cases. The influence of each individual strategy (OBL, CM and PC) on KH is verified through 25 benchmarks. The results show that the KH with OBL, CM and PC operators, has the best performance among different variants of OKH.
Wang, G-G, Deb, S, Gandomi, AH, Zhang, Z & Alavi, AH 2016, 'Chaotic cuckoo search', Soft Computing, vol. 20, no. 9, pp. 3349-3362.
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This study proposes a novel chaotic cuckoo search (CCS) optimization method by incorporating chaotic theory into cuckoo search (CS) algorithm. In CCS, chaos characteristics are combined with the CS with the intention of further enhancing its performance. Further, the elitism scheme is incorporated into CCS to preserve the best cuckoos. In CCS method, 12 chaotic maps are applied to tune the step size of the cuckoos used in the original CS method. Twenty-seven benchmark functions and an engineering case are utilized to investigate the efficiency of CCS. The results clearly demonstrate that the performance of CCS together with a suitable chaotic map is comparable as well as superior to that of the CS and other metaheuristic algorithms.
Wang, G-G, Gandomi, AH, Alavi, AH & Deb, S 2016, 'A hybrid method based on krill herd and quantum-behaved particle swarm optimization', Neural Computing and Applications, vol. 27, no. 4, pp. 989-1006.
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A novel hybrid Krill herd (KH) and quantum-behaved particle swarm optimization (QPSO), called KH–QPSO, is presented for benchmark and engineering optimization. QPSO is intended for enhancing the ability of the local search and increasing the individual diversity in the population. KH–QPSO is capable of avoiding the premature convergence and eventually finding the function minimum; especially, KH–QPSO can make all the individuals proceed to the true global optimum without introducing additional operators to the basic KH and QPSO algorithms. To verify its performance, various experiments are carried out on an array of test problems as well as an engineering case. Based on the results, we can easily infer that the hybrid KH–QPSO is more efficient than other optimization methods for solving standard test problems and engineering optimization problems.
Wang, G-G, Gandomi, AH, Alavi, AH & Deb, S 2016, 'A Multi-Stage Krill Herd Algorithm for Global Numerical Optimization', International Journal on Artificial Intelligence Tools, vol. 25, no. 02, pp. 1550030-1550030.
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A multi-stage krill herd (MSKH) algorithm is presented to fully exploit the global and local search abilities of the standard krill herd (KH) optimization method. The proposed method involves exploration and exploitation stages. The exploration stage uses the basic KH algorithm to select a good candidate solution set. This phase is followed by fine-tuning a good candidate solution in the exploitation stage with a focused local mutation and crossover (LMC) operator in order to enhance the reliability of the method for solving global numerical optimization problems. Moreover, the elitism scheme is introduced into the MSKH method to guarantee the best solution. The performance of MSKH is verified using twenty-five standard and rotated and shifted benchmark problems. The results show the superiority of the proposed algorithm to the standard KH and other well-known optimization methods.
Wang, G-G, Gandomi, AH, Zhao, X & Chu, HCE 2016, 'Hybridizing harmony search algorithm with cuckoo search for global numerical optimization', Soft Computing, vol. 20, no. 1, pp. 273-285.
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For the purpose of enhancing the search ability of the cuckoo search (CS) algorithm, an improved robust approach, called HS/CS, is put forward to address the optimization problems. In HS/CS method, the pitch adjustment operation in harmony search (HS) that can be considered as a mutation operator is added to the process of the cuckoo updating so as to speed up convergence. Several benchmarks are applied to verify the proposed method and it is demonstrated that, in most cases, HS/CS performs better than the standard CS and other comparative methods. The parameters used in HS/CS are also investigated by various simulations.
Wang, H, Zheng, W, Yu, N, Li, K, Lu, D, Xin, T, Li, C, Ji, Z, Kribs, D, Zeng, B, Peng, X & Du, J 2016, 'Quantum State and Process Tomography via Adaptive Measurements', Science China: Physics, Mechanics and Astronomy, vol. 59, no. 10.
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We investigate quantum state tomography (QST) for pure states and quantumprocess tomography (QPT) for unitary channels via $adaptive$ measurements. Fora quantum system with a $d$-dimensional Hilbert space, we first propose anadaptive protocol where only $2d-1$ measurement outcomes are used to accomplishthe QST for $all$ pure states. This idea is then extended to study QPT forunitary channels, where an adaptive unitary process tomography (AUPT) protocolof $d^2+d-1$ measurement outcomes is constructed for any unitary channel. Weexperimentally implement the AUPT protocol in a 2-qubit nuclear magneticresonance system. We examine the performance of the AUPT protocol when appliedto Hadamard gate, $T$ gate ($\pi/8$ phase gate), and controlled-NOT gate,respectively, as these gates form the universal gate set for quantuminformation processing purpose. As a comparison, standard QPT is alsoimplemented for each gate. Our experimental results show that the AUPT protocolthat reconstructing unitary channels via adaptive measurements significantlyreduce the number of experiments required by standard QPT without considerableloss of fidelity.
Wang, J, Bi, F, Ngo, H-H, Guo, W, Jia, H, Zhang, H & Zhang, X 2016, 'Evaluation of energy-distribution of a hybrid microbial fuel cell–membrane bioreactor (MFC–MBR) for cost-effective wastewater treatment', Bioresource Technology, vol. 200, pp. 420-425.
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Wang, J, Liu, F, Song, Y & Zhao, J 2016, 'A novel model: Dynamic choice artificial neural network (DCANN) for an electricity price forecasting system', Applied Soft Computing, vol. 48, pp. 281-297.
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Wang, J, Qu, Z, Chen, Y, Mei, T, Xu, M, Zhang, L & Lu, H 2016, 'Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation', IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 11, pp. 2079-2092.
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An ideal thumbnail generator should effectively
condense unimportant regions and keep the important content
undeformed, completed, and at a proper scale, i.e., accuracy,
completeness, and sufficiency. Each retargeting method has its
own advantage for resizing arbitrary images. However, they
often ignore the completeness and sufficiency for information
presentation in thumbnails. In this paper, we formulate thumbnail
generation as an image content condensation problem and
propose a unified grid optimization framework to fuse multiple
operators. From the view of accuracy, completeness, and suffi-
ciency for information presentation, we exploit complementary
relationships among three condensation operators and fuse them
into a unified grid-based convex programming problem, which
could be solved simultaneously and efficiently through numerical
optimization. Besides warping energy to preserve the geometric
structure of important objects, we put forward two grid-based
energy terms to keep the completeness of important objects and
retain them at a proper size. Finally, an adaptive procedure is
proposed to dynamically adjust the contribution of loss functions
for achieving optimal content condensation. Both qualitative
and quantitative comparison results demonstrate that the proposed
method achieves an excellent tradeoff among accuracy,
completeness, and sufficiency of information preservation. The
experimental results show that our approach is obviously
superior to the state-of-the-art techniques.
Wang, J, Song, Y, Liu, F & Hou, R 2016, 'Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models', Renewable and Sustainable Energy Reviews, vol. 60, pp. 960-981.
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Wind energy, which is clean, inexhaustible and free, has been used to mitigate the crisis of conventional resource depletion. However, wind power is difficult to implement on a large scale because the volatility of wind hinders the prediction of steady and accurate wind power or speed values, especially for multi-step-ahead and long horizon cases. Multi-step-ahead prediction of wind speed is challenging and can be realized by the Weather Research and Forecasting Model (WRF). However, a large error in wind speed will occur due to inaccurate predictions at the beginning of the synoptic process in WRF. Multi-step wind speed predictions using statistical and machine learning methods have rarely been studied because greater numbers of forecasting steps correspond to lower accuracy. In this study, a detailed review of wind speed forecasting is presented, including the application of wind energy, time horizons for wind speed prediction and wind speed forecasting methods. This paper presents eight strategies for realizing multi-step wind speed forecasting with machine-learning methods and compares 48 different hybrid models based on these eight strategies. The results show good consistency among the different wind farms, with COMB-DIRMO models generally having a higher prediction accuracy than the other strategies. Thus, this paper introduced three methods of combining these COMB-DIRMO models, an analysis of their performance improvements over the original models and a comparison among them. Valid experimental simulations demonstrate that ALL-DDVC, one combination of the COMB-DIRMO models, is a practical, effective and robust model for multi-step-ahead wind speed forecasting.
Wang, J, Xu, M, Lu, H & Burnett, I 2016, 'ActiveAd: A novel framework of linking ad videos to online products', Neurocomputing, vol. 185, pp. 82-92.
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© 2016 Elsevier B.V. With the wide use of consumer electronics and the rapid development of online shopping, more and more ad videos are developed for IDTV and mobile users. However, a huge amount of time spending on the Internet advertising somehow brings users uncomfortable viewing experience rather than effectively generates high consumption of advertised products. Therefore, it is urgent to find a viewer-friendly and advertiser-beneficial solution to launch ads. This paper is the first attempt to improve the effectiveness of advertising through combining online shopping information with an ad video and directing viewers to proper online shopping places. The proposed ActiveAd framework includes four main components. Firstly, an ad video analysis component detects both syntactic and semantic elements from ad videos, e.g. FMPIs (Frame Marked with Production Information), visual concepts, and textual keywords within the ad videos. Our ad video analysis provides a comprehensive solution to extract meaningful elements from ad videos. Secondly, a visual linking by search component is proposed to collect websites which contain similar images as FMPIs. Features used for the visual search are weighted and fused in order to ensure the uniformity of search results. Thirdly, different kinds of tags and product categories extracted from collected websites are aggregated in order to identify the representative text of the product. Finally, query keywords are selected through calculating cosine similarity from two kinds of keywords, i.e. keywords identified from tag aggregation and keywords obtained through ad video analysis (visual concept detection and textual keyword detection). A query vector is generated by selected keywords and used to retrieve product online. In this paper, a powerful cross-media contextual search including visual search, tag aggregation and textual search is achieved with the help of ad video analysis. Experiments demonstrate that our proposed Active...
Wang, J, Zhang, F, Liu, F & Ma, J 2016, 'Hybrid forecasting model‐based data mining and genetic algorithm‐adaptive particle swarm optimisation: a case study of wind speed time series', IET Renewable Power Generation, vol. 10, no. 3, pp. 287-298.
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Wang, L 2016, 'Discussion of “Geometrical Method for Evaluating the Internal Instability of Granular Filters Based on Constriction Size Distribution” by Buddhima Indraratna, Jahanzaib Israr, and Cholachat Rujikiatkamjorn', Journal of Geotechnical and Geoenvironmental Engineering, vol. 142, no. 9, pp. 07016020-07016020.
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Wang, L, Patras, I, Zhang, J, Mori, G & Davis, L 2016, 'Special Issue on Individual and Group Activities in Video Event Analysis', Computer Vision and Image Understanding, vol. 144, pp. 1-2.
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Wang, P, Lu, G, Yan, H, Ni, W, Xu, M, Xue, Y & Yan, Y-M 2016, 'Preparation of porous reduced graphene oxide using cellulose acetate for high performance capacitive desalination', RSC Advances, vol. 6, no. 74, pp. 70532-70536.
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A three-dimensional porous graphene electrode is prepared by using cellulose acetate as a template. The electrode possesses ideal porous structure and large surface area, therefore resulting in high electrosorption capacity for CDI application.
Wang, Q, Hao, X & Yuan, Z 2016, 'Towards energy positive wastewater treatment by sludge treatment using free nitrous acid', Chemosphere, vol. 144, pp. 1869-1873.
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Free nitrous acid (FNA i.e. HNO2) was revealed to be effective in enhancing biodegradability of secondary sludge. Also, nitrite-oxidizing bacteria were found to be more susceptible to FNA than ammonium-oxidizing bacteria. Based on these findings, a novel FNA-based sludge treatment technology is proposed to enhance energy recovery from wastewater/sludge. Energy analysis indicated that the FNA-based technology would make wastewater treatment become an energy generating process (yielding energy at 4 kWh/PE/y; kWh/PE/y: kilowatt hours per population equivalent per year), rather than being a large energy consumer that it is today (consuming energy at 24 kWh/PE/y). Importantly, FNA required for the sludge treatment could be produced as a by-product of wastewater treatment. This proposed FNA-based technology is economically and environmentally attractive, and can be easily implemented in any wastewater treatment plants. It only involves the installation of a simple sludge mixing tank. This article presents the concept of the FNA-based technology.
Wang, Q, Ni, B-J, Lemaire, R, Hao, X & Yuan, Z 2016, 'Modeling of Nitrous Oxide Production from Nitritation Reactors Treating Real Anaerobic Digestion Liquor', Scientific Reports, vol. 6, no. 1, p. 25336.
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AbstractIn this work, a mathematical model including both ammonium oxidizing bacteria (AOB) and heterotrophic bacteria (HB) is constructed to predict N2O production from the nitritation systems receiving the real anaerobic digestion liquor. This is for the first time that N2O production from such systems was modeled considering both AOB and HB. The model was calibrated and validated using experimental data from both lab- and pilot-scale nitritation reactors. The model predictions matched the dynamic N2O, ammonium, nitrite and chemical oxygen demand data well, supporting the capability of the model. Modeling results indicated that HB are the dominant contributor to N2O production in the above systems with the dissolved oxygen (DO) concentration of 0.5–1.0 mg O2/L, accounting for approximately 75% of N2O production. The modeling results also suggested that the contribution of HB to N2O production decreased with the increasing DO concentrations, from 75% at DO = 0.5 mg O2/L to 25% at DO = 7.0 mg O2/L, with a corresponding increase of the AOB contribution (from 25% to 75%). Similar to HB, the total N2O production rate also decreased dramatically from 0.65 to 0.25 mg N/L/h when DO concentration increased from 0.5 to 7.0 mg O2/L.
Wang, Q, Sun, J, Zhang, C, Xie, G-J, Zhou, X, Qian, J, Yang, G, Zeng, G, Liu, Y & Wang, D 2016, 'Polyhydroxyalkanoates in waste activated sludge enhances anaerobic methane production through improving biochemical methane potential instead of hydrolysis rate', Scientific Reports, vol. 6, no. 1, p. 19713.
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AbstractAnaerobic sludge digestion is the main technology for sludge reduction and stabilization prior to sludge disposal. Nevertheless, methane production from anaerobic digestion of waste activated sludge (WAS) is often restricted by the poor biochemical methane potential and slow hydrolysis rate of WAS. This work systematically investigated the effect of PHA levels of WAS on anaerobic methane production, using both experimental and mathematical modeling approaches. Biochemical methane potential tests showed that methane production increased with increased PHA levels in WAS. Model-based analysis suggested that the PHA-based method enhanced methane production by improving biochemical methane potential of WAS, with the highest enhancement being around 40% (from 192 to 274 L CH4/kg VS added; VS: volatile solid) when the PHA levels increased from 21 to 143 mg/g VS. In contrast, the hydrolysis rate (approximately 0.10 d−1) was not significantly affected by the PHA levels. Economic analysis suggested that the PHA-based method could save $1.2/PE/y (PE: population equivalent) in a typical wastewater treatment plant (WWTP). The PHA-based method can be easily integrated into the current WWTP to enhance methane production, thereby providing a strong support to the on-going paradigm shift in wastewater management from pollutant removal to resource recovery.
Wang, Q, Wang, S, Sloan, SW, Sheng, D & Pakzad, R 2016, 'Experimental investigation of pressure grouting in sand', Soils and Foundations, vol. 56, no. 2, pp. 161-173.
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Pressure grouting technology has been widely adopted in ground improvement and soil stabilization. To better understand the grout evolution and diffusion process upon pressure grouting injection in sand, laboratory-scale tests were carried out on loose sand under confined boundary conditions, with different grout water/cement (w/c) ratios (0.5 and 1) and soil degrees of saturation (ranging from 5% to 60%) taken into account. By comparing the injected grout volume, the grout bulb volume and density, and the characteristics of the grouted bulbs (dimension and shape) obtained at increasing grouting pressure, the main features of the pressure grouting process were revealed. The injected grout volume increased almost linearly with the grouting pressure, and a lower volume of grout could be injected for a lower w/c ratio at the same grouting pressure, representing a lower injectability. An increase in the grouting pressure leads to an enlarged grout bulb dimension for both w/c ratios, and this increase shifts the grout diffusion process from being dominated by compaction to one involving a fracture-like pattern. Generally, a spherical grout bulb is obtained at a lower w/c ratio of 0.5; however, at the higher w/c ratio of 1, fracture starts to occur even at a low grouting pressure of 100 kPa and continues to propagate as the grouting pressure increases. The influence of the degree of saturation of the soil was significant on both the injectability and the characteristics of the grout bulbs, since the cohesion of the unsaturated sand changed along with it. When Sr exceeds 5%, the volume of the injected grout decreases, but then increases after a threshold value of approximately 40%. Conversely, compaction grouting seems to be dominant at the threshold Sr value, while fractures tend to appear at both lower and higher degrees of saturation. A considerable amount of bleeding occurred with the two main diffusion processes during pressure grouting. The w/c ratio see...
Wang, Q, Xie, H, Ngo, HH, Guo, W, Zhang, J, Liu, C, Liang, S, Hu, Z, Yang, Z & Zhao, C 2016, 'Microbial abundance and community in subsurface flow constructed wetland microcosms: role of plant presence', Environmental Science and Pollution Research, vol. 23, no. 5, pp. 4036-4045.
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In this research, the role of plants in improving microorganism growth conditions in subsurface flow constructed wetland (CW) microcosms was determined. In particular, microbial abundance and community were investigated during summer and winter in Phragmites australis-planted CW microcosms (PA) and unplanted CW microcosms (control, CT). Results revealed that the removal efficiencies of pollutants and microbial community structure varied in winter with variable microbial abundance. During summer, PA comprised more dominant phyla (e.g., Proteobacteria, Actinobacteria, and Bacteroidetes), whereas CT contained more Cyanobacteria and photosynthetic bacteria. During winter, the abundance of Proteobacteria was >40 % in PA but dramatically decreased in CT. Moreover, Cyanobacteria and photosynthetic bacterial dominance in CT decreased. In both seasons, bacteria were more abundant in root surfaces than in sand. Plant presence positively affected microbial abundance and community. The potential removal ability of CT, in which Cyanobacteria and photosynthetic bacteria were abundant during summer, was more significantly affected by temperature reduction than that of PA with plant presence.
Wang, Q, Zhou, X, Peng, L, Wang, D, Xie, G-J & Yuan, Z 2016, 'Enhancing post aerobic digestion of full-scale anaerobically digested sludge using free nitrous acid pretreatment', Chemosphere, vol. 150, pp. 152-158.
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Post aerobic digestion of anaerobically digested sludge (ADS) has been extensively applied to the wastewater treatment plants to enhance sludge reduction. However, the degradation of ADS in the post aerobic digester itself is still limited. In this work, an innovative free nitrous acid (HNO2 or FNA)-based pretreatment approach is proposed to improve full-scale ADS degradation in post aerobic digester. The post aerobic digestion was conducted by using an activated sludge to aerobically digest ADS for 4 days. Degradations of the FNA-treated (treated at 1.0 and 2.0 mg N/L for 24 h) and untreated ADSs were then determined and compared. The ADS was degraded by 26% and 32%, respectively, in the 4-day post aerobic digestion period while being pretreated at 1.0 and 2.0 mg HNO2-N/L. In comparison, only 20% of the untreated ADS was degraded. Economic analysis demonstrated that the implementation of FNA pretreatment can be economically favourable or not depending on the sludge transport and disposal cost.
Wang, S, Chang, X, Li, X, Long, G, Yao, L & Sheng, QZ 2016, 'Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 12, pp. 3191-3202.
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© 1989-2012 IEEE. With the latest developments in database technologies, it becomes easier to store the medical records of hospital patients from their first day of admission than was previously possible. In Intensive Care Units (ICU), modern medical information systems can record patient events in relational databases every second. Knowledge mining from these huge volumes of medical data is beneficial to both caregivers and patients. Given a set of electronic patient records, a system that effectively assigns the disease labels can facilitate medical database management and also benefit other researchers, e.g., pathologists. In this paper, we have proposed a framework to achieve that goal. Medical chart and note data of a patient are used to extract distinctive features. To encode patient features, we apply a Bag-of-Words encoding method for both chart and note data. We also propose a model that takes into account both global information and local correlations between diseases. Correlated diseases are characterized by a graph structure that is embedded in our sparsity-based framework. Our algorithm captures the disease relevance when labeling disease codes rather than making individual decision with respect to a specific disease. At the same time, the global optimal values are guaranteed by our proposed convex objective function. Extensive experiments have been conducted on a real-world large-scale ICU database. The evaluation results demonstrate that our method improves multi-label classification results by successfully incorporating disease correlations.
Wang, S, Dorrell, DG, Guo, Y & Hsieh, M-F 2016, 'Inductive Charging Coupler With Assistive Coils', IEEE TRANSACTIONS ON MAGNETICS, vol. 52, no. 7.
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© 2016 IEEE. A wireless charging system contains a high-frequency power source, a wireless transformer/coupler, a rectifier, and the load. The wireless transformer/coupler is the key element of the wireless charging system, and the power source and the rectifier design are all dependent on its design. For a two coil type wireless transformer, the maximum efficiency is limited by the coupling coefficient, which rapidly decreases with increasing distance between the primary and secondary coils. The four coil system is widely used in low-power applications, where the maximum power transfer operating point is away from the maximum efficiency point. This paper proposes an inductive charging coupler with small assistive coils, where the high power and maximum efficiency regions overlap.
Wang, S, Guo, J, Lian, J, Ngo, HH, Guo, W, Liu, Y & Song, Y 2016, 'Rapid start-up of the anammox process by denitrifying granular sludge and the mechanism of the anammox electron transport chain', Biochemical Engineering Journal, vol. 115, pp. 101-107.
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© 2016 Elsevier B.V. This study investigated the rapid start-up of an anaerobic ammonium oxidation (anammox) reactor by inoculating denitrifying granular sludge mixed anammox bacteria. The mechanism of the anammox electron transport chain (AETC) was also studied using nine different inhibitors in batch tests. This is the first study that shortened the start-up anammox reactor time to 28 days. Nitrogen removal rates (NRRs) up to 0.72 kg/(m3 d) on day 28 were achieved. Each studied inhibitor had a different binding site in the AETC. The effect of each inhibitor was determined by comparing the total nitrogen removal efficiency between the presence of an inhibitor and an appropriate control. The results confirmed that each inhibitor had various inhibition degrees that distinctly affected the AETC. Finally, the AETC mechanism was explored in detail. These findings are important for developing fast start-up processes for anammox reactors.
Wang, S, Pan, P, Long, G, Chen, W, Li, X & Sheng, QZ 2016, 'Compact representation for large-scale unconstrained video analysis', World Wide Web, vol. 19, no. 2, pp. 231-246.
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© 2015, Springer Science+Business Media New York. Recently, newly invented features (e.g. Fisher vector, VLAD) have achieved state-of-the-art performance in large-scale video analysis systems that aims to understand the contents in videos, such as concept recognition and event detection. However, these features are in high-dimensional representations, which remarkably increases computation costs and correspondingly deteriorates the performance of subsequent learning tasks. Notably, the situation becomes even worse when dealing with large-scale video data where the number of class labels are limited. To address this problem, we propose a novel algorithm to compactly represent huge amounts of unconstrained video data. Specifically, redundant feature dimensions are removed by using our proposed feature selection algorithm. Considering unlabeled videos that are easy to obtain on the web, we apply this feature selection algorithm in a semi-supervised framework coping with a shortage of class information. Different from most of the existing semi-supervised feature selection algorithms, our proposed algorithm does not rely on manifold approximation, i.e. graph Laplacian, which is quite expensive for a large number of data. Thus, it is possible to apply the proposed algorithm to a real large-scale video analysis system. Besides, due to the difficulty of solving the non-smooth objective function, we develop an efficient iterative approach to seeking the global optimum. Extensive experiments are conducted on several real-world video datasets, including KTH, CCV, and HMDB. The experimental results have demonstrated the effectiveness of the proposed algorithm.
Wang, SY, Sloan, SW, Sheng, DC & Tang, CA 2016, '3D numerical analysis of crack propagation of heterogeneous notched rock under uniaxial tension', Tectonophysics, vol. 677-678, pp. 45-67.
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Wang, W, Jiao, P, He, D, Jin, D, Pan, L & Gabrys, B 2016, 'Autonomous overlapping community detection in temporal networks: A dynamic Bayesian nonnegative matrix factorization approach', Knowledge-Based Systems, vol. 110, pp. 121-134.
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A wide variety of natural or artificial systems can be modeled as time-varying or temporal networks. To understand the structural and functional properties of these time-varying networked systems, it is desirable to detect and analyze the evolving community structure. In temporal networks, the identified communities should reflect the current snapshot network, and at the same time be similar to the communities identified in history or say the previous snapshot networks. Most of the existing approaches assume that the number of communities is known or can be obtained by some heuristic methods. This is unsuitable and complicated for most real world networks, especially temporal networks. In this paper, we propose a Bayesian probabilistic model, named Dynamic Bayesian Nonnegative Matrix Factorization (DBNMF), for automatic detection of overlapping communities in temporal networks. Our model can not only give the overlapping community structure based on the probabilistic memberships of nodes in each snapshot network but also automatically determines the number of communities in each snapshot network based on automatic relevance determination. Thereafter, a gradient descent algorithm is proposed to optimize the objective function of our DBNMF model. The experimental results using both synthetic datasets and real-world temporal networks demonstrate that the DBNMF model has superior performance compared with two widely used methods, especially when the number of communities is unknown and when the network is highly sparse.
Wang, W, Zhang, G & Lu, J 2016, 'Member contribution-based group recommender system', DECISION SUPPORT SYSTEMS, vol. 87, pp. 80-93.
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© 2016 Elsevier B.V. Developing group recommender systems (GRSs) is a vital requirement in many online service systems to provide recommendations in contexts in which a group of users are involved. Unfortunately, GRSs cannot be effectively supported using traditional individual recommendation techniques because it needs new models to reach an agreement to satisfy all the members of this group, given their conflicting preferences. Our goal is to generate recommendations by taking each group member's contribution into account through weighting members according to their degrees of importance. To achieve this goal, we first propose a member contribution score (MCS) model, which employs the separable non-negative matrix factorization technique on a group rating matrix, to analyze the degree of importance of each member. A Manhattan distance-based local average rating (MLA) model is then developed to refine predictions by addressing the fat tail problem. By integrating the MCS and MLA models, a member contribution-based group recommendation (MC-GR) approach is developed. Experiments show that our MC-GR approach achieves a significant improvement in the performance of group recommendations. Lastly, using the MC-GR approach, we develop a group recommender system called GroTo that can effectively recommend activities to web-based tourist groups.
Wang, X & Duan, R 2016, 'Improved Semidefinite Programming Upper Bound on Distillable Entanglement', Phys. Rev. A, vol. 94, no. 5, p. 050301.
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A new additive and semidefinite programming (SDP) computable entanglementmeasure is introduced to upper bound the amount of distillable entanglement inbipartite quantum states by operations completely preserving the positivity ofpartial transpose (PPT). This quantity is always smaller than or equal to thelogarithmic negativity, the previously best known SDP bound on distillableentanglement, and the inequality is strict in general. Furthermore, a succinctSDP characterization of the one-copy PPT deterministic distillable entanglementfor any given state is also obtained, which provides a simple but useful lowerbound on the PPT distillable entanglement. Remarkably, there is a genuinelymixed state of which both bounds coincide with the distillable entanglementwhile being strictly less than the logarithmic negativity.
Wang, X & Duan, R 2016, 'Irreversibility of Asymptotic Entanglement Manipulation Under Quantum Operations Completely Preserving Positivity of Partial Transpose', Phys. Rev. Lett., vol. 119, no. 18, pp. 180506-5.
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We demonstrate the irreversibility of asymptotic entanglement manipulationunder quantum operations that completely preserve the positivity of partialtranspose (PPT), resolving a major open problem in quantum information theory.Our key tool is a new efficiently computable additive lower bound for theasymptotic relative entropy of entanglement with respect to PPT states, whichcan be used to evaluate the entanglement cost under local operations andclassical communication (LOCC). We find that for any rank-two mixed statesupporting on the $3\otimes3$ antisymmetric subspace, the amount of distillableentanglement by PPT operations is strictly smaller than one entanglement bit(ebit) while its entanglement cost under PPT operations is exactly one ebit. Asbyproduct, we find that for this class of states, both the Rains' bound and itsregularization, are strictly less than the asymptotic relative entropy ofentanglement. So, in general, there is no unique entanglement measure for themanipulation of entanglement by PPT operations. We further show a computablesufficient condition for the irreversibility of entanglement distillation byLOCC (or PPT) operations.
Wang, X & Duan, R 2016, 'Nonadditivity of Rains' bound for distillable entanglement', Phys. Rev. A, vol. 95, no. 6, pp. 062322-062322-5.
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Rains' bound is arguably the best known upper bound of the distillableentanglement by operations completely preserving positivity of partialtranspose (PPT) and was conjectured to be additive and coincide with theasymptotic relative entropy of entanglement. We disprove both conjectures byexplicitly constructing a special class of mixed two-qubit states. We thenintroduce an additive semidefinite programming lower bound ($E_M$) for theasymptotic Rains' bound, and it immediately becomes a computable lower boundfor entanglement cost of bipartite states. Furthermore, $E_M$ is also proved tobe the best known upper bound of the PPT-assisted deterministic distillableentanglement and gives the asymptotic rates for all pure states and some classof genuinely mixed states.
Wang, X & Duan, R 2016, 'Separation between quantum Lovász number and entanglement-assisted zero-error classical capacity', IEEE Transactions on Information Theory 64 (3), 1454-1460, 2018, vol. 64, no. 3, pp. 1454-1460.
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Quantum Lov\'asz number is a quantum generalization of the Lov\'asz number ingraph theory. It is the best known efficiently computable upper bound of theentanglement-assisted zero-error classical capacity of a quantum channel.However, it remains an intriguing open problem whether quantum entanglement canalways enhance the zero-error capacity to achieve the quantum Lov\'asz number.In this paper, by constructing a particular class of qutrit-to-qutrit channels,we show that there exists a strict gap between the entanglement-assistedzero-error capacity and the quantum Lov\'asz number. Interestingly, for thisclass of quantum channels, the quantum generalization of fractional packingnumber is strictly larger than the zero-error capacity assisted with feedbackor no-signalling correlations, which differs from the case of classicalchannels.
Wang, X, Ni, W, Zheng, K, Liu, RP & Niu, X 2016, 'Virus Propagation Modeling and Convergence Analysis in Large-Scale Networks', IEEE Transactions on Information Forensics and Security, vol. 11, no. 10, pp. 2241-2254.
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© 2016 IEEE. Biological epidemic models, widely used to model computer virus propagations, suffer from either limited scalability to large networks, or accuracy loss resulting from simplifying approximations. In this paper, a discrete-time absorbing Markov process is constructed to precisely characterize virus propagations. Conducting eigenvalue analysis and Jordan decomposition to the process, we prove that the virus extinction rate, i.e., the rate at which the Markov process converges to a virus-free absorbing state, is bounded. The bounds, depending on the infection and curing probabilities, and the minimum degree of the network topology, have closed forms. We also reveal that the minimum curing probability for a given extinction rate requirement, specified through the upper bound, is independent of the explicit size of the network. As a result, we can interpret the extinction rate requirement of a large network with that of a much smaller one, evaluate its minimum curing requirement, and achieve simplifications with negligible loss of accuracy. Simulation results corroborate the effectiveness of the interpretation, as well as its analytical accuracy in large networks.
Wang, X, Xie, W & Duan, R 2016, 'Semidefinite programming strong converse bounds for classical capacity', IEEE Transactions on Information Theory 64 (1), 640-653, 2018, vol. 64, no. 1, pp. 640-653.
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We investigate the classical communication over quantum channels whenassisted by no-signaling (NS) and positive-partial-transpose-preserving (PPT)codes, for which both the optimal success probability of a given transmissionrate and the one-shot $\epsilon$-error capacity are formalized as semidefiniteprograms (SDPs). Based on this, we obtain improved SDP finite blocklengthconverse bounds of general quantum channels for entanglement-assisted codes andunassisted codes. Furthermore, we derive two SDP strong converse bounds for theclassical capacity of general quantum channels: for any code with a rateexceeding either of the two bounds of the channel, the success probabilityvanishes exponentially fast as the number of channel uses increases. Inparticular, applying our efficiently computable bounds, we derive an improvedupper bound on the classical capacity of the amplitude damping channel. We alsoestablish the strong converse property for the classical and private capacitiesof a new class of quantum channels. We finally study the zero-error setting andprovide efficiently computable upper bounds on the one-shot zero-error capacityof a general quantum channel.
Wang, X, Yan, R, Li, J & Song, J 2016, 'SOHPRED: a new bioinformatics tool for the characterization and prediction of human S-sulfenylation sites', Molecular BioSystems, vol. 12, no. 9, pp. 2849-2858.
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SOHPRED is a new and competitive bioinformatics tool for characterizing and predicting human S-sulfenylation sites.
Wang, Y, Huang, S, Xiong, R & Wu, J 2016, 'A framework for multi-session RGBD SLAM in low dynamic workspace environment', CAAI Transactions on Intelligence Technology, vol. 1, no. 1, pp. 90-103.
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Wang, Y, Li, B, Wang, Y, Chen, F, Zhang, B & Li, Z 2016, 'Robust Bayesian non-parametric dictionary learning with heterogeneous Gaussian noise', Computer Vision and Image Understanding, vol. 150, pp. 31-43.
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Bayesian non-parametric dictionary learning has become popular in computer vision applications due to its ability of dictionary size decision. A common assumption of this modelling approach is to place Gaussian priors on both dictionary matrix and weighting matrix. Although such simple treatment has a number of merits such as conjugate priors and easy inference, it may violate the reality since there may exist heterogeneous noise in a digital image. In this paper, we consider a general noise model for Bayesian non-parametric dictionary learning, which is able to adapt images with heterogeneous Gaussian noise. To this end, we adopt Student's t distributions as priors of heterogeneous noise for both dictionary matrix and weighting matrix. As an infinite Gaussian scale mixture, Student's t not only retains the similar properties as Gaussian but also tolerates different scales of noise. We propose an approximate inference algorithm, combining Gibbs sampling and empirical Bayesian, to estimate the posterior distribution of parameters. The experimental results show that the proposed model can clearly outperform the counterpart with Gaussian prior and the prevailing parametric methods in image de-noising with heterogeneous noise.
Wang, Y, Luo, Z, Zhang, N & Qin, Q 2016, 'Topological shape optimization of multifunctional tissue engineering scaffolds with level set method', Structural and Multidisciplinary Optimization, vol. 54, no. 2, pp. 333-347.
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© 2016, Springer-Verlag Berlin Heidelberg. A tissue engineering scaffold provides a proper environment to support physiological loads, and enhance cell migration and delivery for re-modeling of regenerating tissue. Hence, in the design of scaffolds, it is required to control the scaffold architecture with mechanical and mass transport properties simultaneously. In this paper, a level set-based topology optimization method will be developed to systematically generate three dimensional (3D) microstructures for tissue engineering scaffolds, with the prescribed properties for mechanical stiffness, fluid porosity and permeability. To create the internal architecture for scaffolds with desired properties, the numerical homogenization method will be used to evaluate the effective properties of the microstructure for building the periodic composite media, and a parametric level set method will be introduced to find the optimized shape and topology of the microstructure. Several numerical examples are used to demonstrate the effectiveness of the proposed method in achieving scaffolds with desired multifunctional properties, within the numerically estimated cross-property bounds between the effective bulk modulus and permeability under different porosities.
Wang, Y, Luo, Z, Zhang, N & Wu, T 2016, 'Topological design for mechanical metamaterials using a multiphase level set method', Structural and Multidisciplinary Optimization, vol. 54, no. 4, pp. 937-952.
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© 2016, Springer-Verlag Berlin Heidelberg. Metamaterials usually refer to artificially engineered composites with unusual properties that cannot be easily found in nature. This paper will develop a topological shape optimization method for design of mechanical metamaterials of thermoelastic micro-structured composites, which integrates numerical homogenization method with a multi-phase level set method (MPLSM). The homogenization method is applied to evaluate the effective macroscopic properties of a periodic microstructure, while the MPLSM will be utilized to implement shape and topology evolutions of the microstructure. A multi-phase level set representation model is established to describe the boundaries of the multi-material microstructure using a combination of all level set functions, without overlaps and empties. The Hamilton-Jacobi partial differential equation-based topological shape optimization problem will be transformed to a generalized size optimization problem. Typical numerical examples are used to demonstrate the effectiveness of the proposed method for designing metamaterials with expected and extreme thermal expansion coefficients.
Wang, Y, Wang, C, Wang, Y, Liu, H & Huang, Z 2016, 'Boric Acid Assisted Reduction of Graphene Oxide: A Promising Material for Sodium-Ion Batteries', ACS Applied Materials & Interfaces, vol. 8, no. 29, pp. 18860-18866.
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Reduced graphene oxide, an intensively investigated material for Li-ion batteries, has shown mostly unsatisfactory performance in Na-ion batteries, since its d-spacing is believed to be too small for effective insertion/deinsertion of Na(+) ions. Herein, a facile method was developed to produce boron-functionalized reduced graphene oxide (BF-rGO), with an enlarged interlayer spacing and defect-rich structure, which effectively accommodates the sodiation/desodiation and provides more active sites. The Na/BF-rGO half cells exhibit unprecedented long cycling stability, with ∼89.4% capacity retained after 5000 cycles (0.002% capacity decay per cycle) at 1000 mA·g(-1) current density. High specific capacity (280 mAh·g(-1)) and great rate capability were also delivered in the Na/BF-rGO half cells.
Wang, Y, Wang, C, Wang, Y, Liu, H & Huang, Z 2016, 'Superior sodium-ion storage performance of Co3O4@nitrogen-doped carbon: derived from a metal–organic framework', Journal of Materials Chemistry A, vol. 4, no. 15, pp. 5428-5435.
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Nitrogen-doped carbon coated Co3O4 nanoparticles (Co3O4@NC) with high Na-ion storage capacity and unprecedented long-life cycling stability are reported in this paper.
Wang, Y, Zhang, J, Liu, Z, Wu, Q, Chou, PA, Zhang, Z & Jia, Y 2016, 'Handling Occlusion and Large Displacement Through Improved RGB-D Scene Flow Estimation', IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 7, pp. 1265-1278.
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© 1991-2012 IEEE. The accuracy of scene flow is restricted by several challenges such as occlusion and large displacement motion. When occlusion happens, the positions inside the occluded regions lose their corresponding counterparts in preceding and succeeding frames. Large displacement motion will increase the complexity of motion modeling and computation. Moreover, occlusion and large displacement motion are highly related problems in scene flow estimation, e.g., large displacement motion often leads to considerably occluded regions in the scene. An improved dense scene flow method based on red-green-blue-depth (RGB-D) data is proposed in this paper. To handle occlusion, we model the occlusion status for each point in our problem formulation, and jointly estimate the scene flow and occluded regions. To deal with large displacement motion, we employ an over-parameterized scene flow representation to model both the rotation and translation components of the scene flow, since large displacement motion cannot be well approximated using translational motion only. Furthermore, we employ a two-stage optimization procedure for this overparameterized scene flow representation. In the first stage, we propose a new RGB-D PatchMatch method, which is mainly applied in the RGB-D image space to reduce the computational complexity introduced by the large displacement motion. According to the quantitative evaluation based on the Middlebury data set, our method outperforms other published methods. The improved performance is also comprehensively confirmed on the real data acquired by Kinect sensor.
Wang, Z, Xu, W, Lei, G & Zhu, J 2016, 'Multilayer Winding Effect on Performance of Flux-Switching Permanent Magnet Machines', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-4.
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© 2002-2011 IEEE. Flux-switching permanent magnet machines (FSPMMs) with fractional-slot concentrated windings (FSCWs) are good candidates for electric vehicle applications due to their simple doubly salient construction, the magnets and windings being removed from rotor to stator, and strong mechanical robustness. They have attracted considerable interest from academia and industry not only because of their essentially sinusoidal phase back electromotive force (back-EMF) waveform, but also their high electromagnetic torque/power densities. Although the FSCW can reduce the end-winding overlap and deliver near-sinusoidal back-EMF, it still contains a little amount of harmonics so as to result in other more losses. The inherent nature of the FSPMMs with different types of FSCWs has not been investigated in detail till now. In this paper, a typical three-phase FSPMM with 12/13 stator teeth/rotor poles with FSCW is employed, to investigate the effect of number of winding layer on key electromagnetic indexes based on finite element analysis. Comprehensive simulations demonstrate that significant reduction can be got on torque ripple, total harmonic distortion of back-EMF and losses with higher number of winding layer.
Wang, Z, Ye, N, Malekian, R, Xiao, F & Wang, R 2016, 'TrackT: Accurate tracking of RFID tags with mm-level accuracy using first-order taylor series approximation', Ad Hoc Networks, vol. 53, pp. 132-144.
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Warkiani, ME, Khoo, BL, Wu, L, Tay, AKP, Bhagat, AAS, Han, J & Lim, CT 2016, 'Ultra-fast, label-free isolation of circulating tumor cells from blood using spiral microfluidics', Nature Protocols, vol. 11, no. 1, pp. 134-148.
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Circulating tumor cells (CTCs) are rare cancer cells that are shed from primary or metastatic tumors into the peripheral blood circulation. Phenotypic and genetic characterization of these rare cells can provide important information to guide cancer staging and treatment, and thus further research into their characteristics and properties is an area of considerable interest. In this protocol, we describe detailed procedures for the production and use of a label-free spiral microfluidic device to allow size-based isolation of viable CTCs using hydrodynamic forces that are present in curvilinear microchannels. This spiral system enables us to achieve ≥ 85% recovery of spiked cells across multiple cancer cell lines and 99.99% depletion of white blood cells in whole blood. The described spiral microfluidic devices can be produced at an extremely low cost using standard microfabrication and soft lithography techniques (2-3 d), and they can be operated using two syringe pumps for lysed blood samples (7.5 ml in 12.5 min for a three-layered multiplexed chip). The fast processing time and the ability to collect CTCs from a large patient blood volume allows this technique to be used experimentally in a broad range of potential genomic and transcriptomic applications.
Watterson, PA & Nicholson, GM 2016, 'Untitled Reply', JOURNAL OF PHYSIOLOGY-LONDON, vol. 594, no. 13, pp. 3843-3844.
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Drs Kordi´candDeletis(Kordi´c&Deletis,2016) have raised important issues aboutthe focality and controllability of theexcitation method described in our recentpaper entitled ‘Nerve–muscle activation byrotating permanent magnet configurations’(Watterson & Nicholson, 2016), which weare pleased to discuss.
Wei, D, Dong, H, Wu, N, Ngo, HH, Guo, W, Du, B & Wei, Q 2016, 'A Fluorescence Approach to Assess the Production of Soluble Microbial Products from Aerobic Granular Sludge Under the Stress of 2,4-Dichlorophenol', Scientific Reports, vol. 6, no. 1.
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AbstractIn this study, a fluorescence approach was used to evaluate the production of soluble microbial products (SMP) in aerobic granular sludge system under the stress of 2,4-dichlorophenol (2,4-DCP). A combined use of three-dimension excitation emission matrix fluorescence spectroscopy (3D-EEM), Parallel factor analysis (PARAFAC), synchronous fluorescence and two-dimensional correlation spectroscopy (2D-COS) were explored to respect the SMP formation in the exposure of different doses of 2,4-DCP. Data implied that the presence of 2,4-DCP had an obvious inhibition on biological nitrogen removal. According to EEM-PARAFAC, two fluorescent components were derived and represented to the presence of fulvic-like substances and humic-like substances in Component 1 and protein-like substances in Component 2. It was found from synchronous fluorescence that protein-like peak presented slightly higher intensity than that of fulvic-like peak. 2D-COS further revealed that fluorescence change took place sequentially in the following order: protein-like fraction > fulvic-like fraction. The obtained results could provide a potential application of fluorescence spectra in the released SMP assessment in the exposure of toxic compound during wastewater treatment.
Wei, D, Ngo, HH, Guo, W, Xu, W, Zhang, Y, Du, B & Wei, Q 2016, 'Biosorption of effluent organic matter onto magnetic biochar composite: Behavior of fluorescent components and their binding properties', Bioresource Technology, vol. 214, pp. 259-265.
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Wei, F, Qin, P, Guo, YJ & Shi, X 2016, 'Design of multi‐band bandpass filters based on stub loaded stepped‐impedance resonator with defected microstrip structure', IET Microwaves, Antennas & Propagation, vol. 10, no. 2, pp. 230-236.
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© The Institution of Engineering and Technology. The design of multi-band bandpass filters (BPFs) employing stub loaded stepped-impedance resonator with defected microstrip structure (SL-SIR-DMS) is presented in this study for the first time. The proposed SL-SIR-DMS is created by embedding DMS on the low-impedance line of the SL-SIR. It is found that different defected structures can lead to different frequency responses. In addition, by using DMS, tri-band and even quad-band responses can be easily achieved without increasing the resonator size. As verification, one tri-band SL-SIR-DMS and one quad-band SL-SIR-DMS are designed and analysed using even/odd-mode method. Subsequently, one tri-band BPF and one quad-band BPF have been developed with pseudo-interdigital coupling to realise good out-of-band performance. The predicted results are compared with measured ones and good agreement is achieved. Compared with BPFs using only SL-SIR, the proposed filters with DMS are more compact due to the slow-wave characteristic. Compared with the BPFs using defected ground structure to improve the stopband performance, the proposed ones can realise comparable wide stopbands but maintaining the signal integrity on the ground plane for packaging purpose.
Wei, F, Qin, P-Y, Guo, YJ, Ding, C & Shi, XW 2016, 'Compact Balanced Dual- and Tri-Band BPFs Based on Coupled Complementary Split-Ring Resonators (C-CSRR)', IEEE Microwave and Wireless Components Letters, vol. 26, no. 2, pp. 107-109.
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© 2016 IEEE. Two multi-band balanced bandpass filters (BPFs) are proposed by embedding multi-band coupled complementary split-ring resonators (C-CSRRs) into a balanced stepped-impedance microstrip-slotline transition structure. The proposed C-CSRR is made from two or three nested CSRRs with a pair of coupling slotlines in the open end of each ring, which can result in dual-band or tri-band bandpass responses, respectivley. It is found that a high and wideband common-mode (CM) suppression can be achieved for the proposed filters. Moreover, the center frequencies of the differential-mode (DM) passbands are independent from the CM responses, which significantly simplify the design procedure. In order to validate its practicalbility, two balanced BPFs with two and three DM passbands are fabricated and good agreement between simulated and measured results is observed.
Wei, W, Wang, Q, Li, A, Yang, J, Ma, F, Pi, S & Wu, D 2016, 'Biosorption of Pb (II) from aqueous solution by extracellular polymeric substances extracted from Klebsiella sp. J1: Adsorption behavior and mechanism assessment', Scientific Reports, vol. 6, no. 1, p. 31575.
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AbstractThe adsorption performance and mechanism of extracellular polymeric substances (EPS) extracted from Klebsiella sp. J1 for soluble Pb (II) were investigated. The maximum biosorption capacity of EPS for Pb (II) was found to be 99.5 mg g−1 at pH 6.0 and EPS concentration of 0.2 g/L. The data for adsorption process satisfactorily fitted to both Langmuir isotherm and pseudo-second order kinetic model. The mean free energy E and activation energy Ea were determined at 8.22– 8.98 kJ mol−1 and 42.46 kJ mol−1, respectively. The liquid-film diffusion step might be the rate-limiting step. The thermodynamic parameters (ΔGo, ΔHo and ΔSo) revealed that the adsorption process was spontaneous and exothermic under natural conditions. The interactions between EPS system and Pb (II) ions were investigated by qualitative analysis methods (i.e Zeta potential, FT-IR and EDAX). Based on the strong experimental evidence from the mass balance of the related elements participating in the sorption process, an ion exchange process was identified quantitatively as the major mechanism responsible for Pb (II) adsorption by EPS. Molar equivalents of both K+ and Mg2+ could be exchanged with Pb2+ molar equivalents in the process and the contribution rate of ion exchange to adsorption accounted for 85.72% (Δmequiv = −0.000541).
Wei, W, Zhou, J, Chen, F & Yuan, H 2016, 'Constrained differential evolution using generalized opposition-based learning', Soft Computing, vol. 20, no. 11, pp. 4413-4437.
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Differential evolution (DE) is a well-known optimization approach to deal with nonlinear and complex optimization problems. However, many real-world optimization problems are constrained problems that involve equality and inequality constraints. DE with constraint handling techniques, named constrained differential evolution (CDE), can be used to solve constrained optimization problems. In this paper, we propose a new CDE framework that uses generalized opposition-based learning (GOBL), named GOBL-CDE. In GOBL-CDE, firstly, the transformed population is generated using general opposition-based learning in the population initialization. Secondly, the transformed population and the initial population are merged and only half of the best individuals are selected to compose the new initial population to proceed mutation, crossover, and selection. Lastly, based on a jumping probability, the transformed population is calculated again after generating new populations, and the fittest individuals are selected to compose new population from the union of the current population and the transformed population. The GOBL-CDE framework can be applied to most CDE variants. As examples, in this study, the framework is applied to two popular representative CDE variants, i.e., rank-iMDDE and εDEag. Experiment results on 24 benchmark functions from CEC’2006 and 18 benchmark functions from CEC’2010 show that the proposed framework is an effective approach to enhance the performance of CDE algorithms.
Wei, WH, Zhou, JL, Tao, M & Yuan, HQ 2016, 'Constrained differential evolution using opposition-based learning', Tien Tzu Hsueh Pao/Acta Electronica Sinica, vol. 44, no. 2, pp. 426-436.
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Differential evolution is a global heuristic algorithm, which is simple, easy-to-use and robust in practice. Combining with the constraint-handling techniques, it can solve constrained optimization problems. Machine learning often guides population to evolve in the evolution computation, and is widely applied to unconstrained differential evolution algorithm. However, machine learning is rarely applied to constrained differential evolution algorithm, so this paper proposed a constrained differential evolution algorithm framework using opposition-based learning. The algorithm can improve the diversity and convergence of differential evolution. At last, the proposed algorithm framework is applied to two popular constrained differential evolution variants, that is (μ+λ)-CDE and ECHT-DE. And 18 benchmark functions presented in CEC 2010 are chosen as the test suite, experimental results show that comparing with (μ+λ)-CDE and ECHT-DE, our algorithms are able to improve global search ability, convergence speed and accuracy in the majority of test cases.
Weisner, K, Knittel, M, Enderlein, H, Wischniewski, S, Jaitner, T, Kuhlang, P & Deuse, J 2016, 'Assistenzsystem zur Individualisierung der Arbeitsgestaltung', Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 111, no. 10, pp. 598-601.
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Kurzfassung Zur Bewältigung der steigenden Produkt- und Prozessdiversifizierung ist die menschliche Arbeit für produzierende Unternehmen weiterhin von zentraler Bedeutung. Wesentliche Herausforderung sind in diesem Kontext die demografische Entwicklung und die damit verbundene hohe inter- und intraindividuelle Streuung der Fähigkeiten der Beschäftigten. Im Rahmen einer menschengerechten Arbeitsgestaltung ist daher die Entwicklung innovativer Assistenzsysteme zur zielgerichteten Unterstützung der Beschäftigten zu diskutieren bzw. zu erarbeiten.
Wen, S, Yu, X, Zeng, Z & Wang, J 2016, 'Event-Triggering Load Frequency Control for Multiarea Power Systems With Communication Delays', IEEE Transactions on Industrial Electronics, vol. 63, no. 2, pp. 1308-1317.
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This paper studies the load frequency control (LFC) for power systems with communication delays via an event-triggered control method to reduce the amount of communications required. The effect of the load disturbances on the augmented output is defined as a robust performance index of the augmented LFC scheme. By utilizing a time-delayed system design approach, a new model of the LFC scheme with delays is formulated, where the communication delays and event-triggered control are integrated for the LFC scheme. Based on the Lyapunov-Krasovskii functional method, the criteria for the event-triggered stability analysis and control synthesis of the LFC scheme are derived. Finally, the effectiveness of the proposed method is verified by simulation studies.
Whyte, T, Gibson, T, Anderson, R, Eager, D & Milthorpe, B 2016, 'Mechanisms of Head and Neck Injuries Sustained by Helmeted Motorcyclists in Fatal Real-World Crashes: Analysis of 47 In-Depth Cases', Journal of Neurotrauma, vol. 33, no. 19, pp. 1802-1807.
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Copyright © 2016, Mary Ann Liebert, Inc. Despite an improved understanding of traumatic head and neck injury mechanisms, the impact tests required by major motorcycle helmet standards have remained unchanged for decades. Development of new test methods must reflect the specific impact loads causing injury in real crashes as well as test criteria appropriate for the observed injury profiles. This study analysed a collection of in-depth crash investigations of fatally injured helmeted riders in the Adelaide metropolitan region between 1983 and 1994 inclusive to review the head and neck injury patterns that resulted from specific types of impact. Inertial brain injury was sustained in 49% of examined cases, most often resulting from facial impacts but also in a large proportion of tangential, run over, and occipital impact cases. Focal brain and brainstem injury was also common (53%) and regularly associated with skull vault (11/12) and skull base fractures (22/31). Prevention of these fractures in impacts outside the area of required protection and in impacts with a straight edge would provide a significant increase in helmeted rider protection. Cervical spinal cord injury was sustained in facial, straight edge, and tangential impacts on the head. Motorcycle helmets are effective for preventing local skull fractures in impacts for which they are designed, whereas other serious injuries such as basilar skull fracture (BSF) and inertial brain injury persist despite helmet protection. Further impact test procedures should be developed for injurious impact types not currently assessed by major helmet standards, in particular facial impacts, and using test criteria based on commonly observed injuries. This study provides the necessary link, from impact load to injury, for guiding impact test development.
Whyte, T, Gibson, T, Eager, D & Milthorpe, B 2016, 'Response of a full-face motorcycle helmet FE model to the UNECE 22.05 chin bar impact test', International Journal of Crashworthiness, vol. 21, no. 6, pp. 555-565.
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© 2016 Informa UK Limited, trading as Taylor & Francis Group. This study investigates the role of full-face motorcycle helmet components in reducing the severity of chin bar impacts to a motorcyclist. A finite element helmet model was created for chin bar impacts by carrying out component tests on the chin bar padding, helmet shell and the chinstrap. Addition of two composite layers to the chin bar, stiffening the shell, reduced the peak headform centre of gravity acceleration from 168.3 g to 122.6 g in the UNECE 22.05 chin bar impact test configuration. The presence of chin bar foam was necessary to avoid excessive headform responses but optimal foam stiffness was dependent on shell stiffness. The lowest peak headform acceleration of 113.1 g was achieved by stiffening the helmet shell and softening the chin bar foam padding in comparison to the validated helmet model. The chinstrap was also critical, causing peak acceleration increases of 27.3 g and 118 g when slightly loose and absent, respectively. The significance of the shell and chinstrap in chin bar impacts is in contrast to cranial helmet impacts which are predominantly controlled by the crushable foam liner. The fact that chinstrap pre-test tightness influences the headform acceleration response is important for the helmet test technician.
Wiegand, M, Stolpe, M, Deuse, J & Morik, K 2016, 'Prädiktive Prozessüberwachung auf Basis verteilt erfasster Sensordaten', at - Automatisierungstechnik, vol. 64, no. 7, pp. 521-533.
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Zusammenfassung In diesem Beitrag wird ein Konzept zur prädiktiven Prozessüberwachung in Fließlinien vorgestellt, das durch die Auswertungverteilt erfasster Sensordaten mithilfe maschineller Lernverfahren die Prognose der finalen Produktqualität im laufendenProduktionsprozess erlaubt. Hierzu wird eine systematische Vorgehensweise zur Datenvorverarbeitung und -analysevorgeschlagen, die eine echtzeitfähige Verarbeitung der verteilt erfassten Daten ermöglicht.
Wijaya, FB, Mohapatra, AR, Sepehrirahnama, S & Lim, K-M 2016, 'Coupled acoustic-shell model for experimental study of cell stiffness under acoustophoresis', Microfluidics and Nanofluidics, vol. 20, no. 5.
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Wijayaratna, KP & Dixit, VV 2016, 'Impact of information on risk attitudes: Implications on valuation of reliability and information', Journal of Choice Modelling, vol. 20, pp. 16-34.
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Risk attitudes are an important behavioural characteristic that influences people's valuation of information and reliability. In a transport context, information has become widely accessible to road users through ITS systems, GPS technology and the internet justifying the importance of understanding the valuation of information by travellers. There have been a number of studies that have looked at the value of information and the value of reliability for a road user. However, to date there has not been a study that explicitly evaluates the impact of having information within a choice set on an individual's risk attitudes, which ultimately affects their valuation for information and reliability. This study conducts a controlled laboratory experiment, using methods of experimental economics, to measure the risk attitudes of users with and without the presence of information in the choice set. A model derived from Expected Utility Theory is used to infer the risk attitudes of the participants. The results of the analysis indicate that the presence of information in the choice set reduces risk aversion, which causes a reduction in people's valuation of information and reliability. It is critical to systematically incorporate these differences into behaviour models, since neglecting this fundamental difference could result in erroneous policy decisions, with respect to overpricing information, or inappropriately allocating funds for information systems.
Wijesiri Pathirana, S, Uy, B, Mirza, O & Zhu, X 2016, 'Flexural behaviour of composite steel–concrete beams utilising blind bolt shear connectors', Engineering Structures, vol. 114, pp. 181-194.
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This paper investigates the feasibility of utilising blind bolts as shear connectors to develop demountable steel-concrete beams. The flexural behaviour of composite beams with two blind bolt types and welded stud connectors were experimentally investigated using full-scale beam specimens. A set of push-test specimens was tested based on the Eurocode 4 to compare the slip response of these connectors. The ultimate design loads of the test beams were calculated based on rigid plastic analysis (RPA) using the actual material properties. The beam experiments were simulated by using three-dimensional non-linear finite element models (FEMs). The material behaviour for concrete and steel in FEMs was described using concrete damage plasticity and steel plasticity models respectively. The FEMs were validated by comparing the load-midspan deflection curves of the beam specimens obtained from the experiments and modelling. The effects of the concrete compressive strength, steel yield strength and the shear connection ratio on the flexural behaviour of the composite beams were studied by utilising the validated FEMs. The experimental and numerical results suggest that the ability of the blind bolts to achieve and maintain composite action in steel-concrete beams under flexural loading is comparable to that of the welded stud connectors.
Wilde, MM, Tomamichel, M & Berta, M 2016, 'Converse bounds for private communication over quantum channels', IEEE Transactions on Information Theory, vol. 63, no. 3, pages 1792-1817, March 2017, vol. 63, no. 3, pp. 1792-1817.
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This paper establishes several converse bounds on the private transmissioncapabilities of a quantum channel. The main conceptual development buildsfirmly on the notion of a private state, which is a powerful, uniquely quantummethod for simplifying the tripartite picture of privacy involving localoperations and public classical communication to a bipartite picture of quantumprivacy involving local operations and classical communication. This approachhas previously led to some of the strongest upper bounds on secret key rates,including the squashed entanglement and the relative entropy of entanglement.Here we use this approach along with a 'privacy test' to establish a generalmeta-converse bound for private communication, which has a number ofapplications. The meta-converse allows for proving that any quantum channel'srelative entropy of entanglement is a strong converse rate for privatecommunication. For covariant channels, the meta-converse also leads tosecond-order expansions of relative entropy of entanglement bounds for privatecommunication rates. For such channels, the bounds also apply to the privatecommunication setting in which the sender and receiver are assisted byunlimited public classical communication, and as such, they are relevant forestablishing various converse bounds for quantum key distribution protocolsconducted over these channels. We find precise characterizations for severalchannels of interest and apply the methods to establish several converse boundson the private transmission capabilities of all phase-insensitive bosonicchannels.
Wilde, MM, Tomamichel, M, Lloyd, S & Berta, M 2016, 'Gaussian hypothesis testing and quantum illumination', Physical Review Letters, vol. 119, no. 12, p. 12.
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Quantum hypothesis testing is one of the most basic tasks in quantuminformation theory and has fundamental links with quantum communication andestimation theory. In this paper, we establish a formula that characterizes thedecay rate of the minimal Type-II error probability in a quantum hypothesistest of two Gaussian states given a fixed constraint on the Type-I errorprobability. This formula is a direct function of the mean vectors andcovariance matrices of the quantum Gaussian states in question. We give anapplication to quantum illumination, which is the task of determining whetherthere is a low-reflectivity object embedded in a target region with a brightthermal-noise bath. For the asymmetric-error setting, we find that a quantumillumination transmitter can achieve an error probability exponent strongerthan a coherent-state transmitter of the same mean photon number, andfurthermore, that it requires far fewer trials to do so. This occurs when thebackground thermal noise is either low or bright, which means that a quantumadvantage is even easier to witness than in the symmetric-error setting becauseit occurs for a larger range of parameters. Going forward from here, we expectour formula to have applications in settings well beyond those considered inthis paper, especially to quantum communication tasks involving quantumGaussian channels.
Willis, A, Robinson, C, Thien, D & Askins, K 2016, 'Preface', Emotion, Space and Society, vol. 18, pp. 27-27.
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Witting, P, Chami, B, Hambly, T, Wang, X, Fong, G & Dennis, J 2016, 'Serum Amyloid A Stimulates Atherogenesis and Renal Dysfunction in Apolipoprotein E-Deficient Mice Fed a Normal Chow Diet', Free Radical Biology and Medicine, vol. 100, pp. S154-S154.
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Woo, YC, Kim, Y, Shim, W-G, Tijing, LD, Yao, M, Nghiem, LD, Choi, J-S, Kim, S-H & Shon, HK 2016, 'Graphene/PVDF flat-sheet membrane for the treatment of RO brine from coal seam gas produced water by air gap membrane distillation', JOURNAL OF MEMBRANE SCIENCE, vol. 513, pp. 74-84.
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© 2016 Elsevier B.V. Brine management of coal seam gas (CSG) produced water is a significant concern for the sustainable production of CSG in Australia. Membrane distillation (MD) has shown the potential to further reduce the volume of CSG reverse osmosis (RO) brine. However, despite its potential, the lack of appropriate MD membranes limits its industrial use. Therefore, this study was aimed on the fabrication of a robust membrane for the treatment of real RO brine from CSG produced water via an air gap MD (AGMD) process. Here, graphene/polyvinylidene fluoride (G/PVDF) membranes at various graphene loadings 0.1-2.0 wt% w.r.t. to PVDF) were prepared through a phase inversion method. Surface characterization revealed that all G/PVDF membranes exhibited favorable membrane properties having high porosity (>78%), suitable mean pore size (<0.11 μm), and high liquid entry pressure (>3.66 bar). AGMD test results (feed inlet: 60.0±1.5 °C; coolant inlet: 20.0±1.5 °C) for 24 h operation indicated a high water vapor flux and salt rejection of 20.5 L/m2h and 99.99%, respectively for the optimal graphene loading of 0.5 wt%, i.e., G/PVDF-0.5 membrane (compared to 11.6 L/m2h and 99.96% for neat PVDF membrane). Long-term AGMD operation of 10 days further revealed the robustness of G/PVDF membrane with superior performance compared to commercial PVDF membrane (85.3% final normalized flux/99.99% salt rejection against 51.4%/99.95% for commercial membrane). Incorporation of graphene has resulted to improved wetting resistance and more robust membrane that has the potential for the treatment of RO brine from CSG produced water via AGMD.
Woo, YC, Lee, JJ, Shim, W-G, Shon, HK, Tijing, LD, Yao, M & Kim, H-S 2016, 'Effect of powdered activated carbon on integrated submerged membrane bioreactor-nanofiltration process for wastewater reclamation', BIORESOURCE TECHNOLOGY, vol. 210, pp. 18-25.
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© 2016 Elsevier Ltd. The aim of this study was to determine the effect of powdered activated carbon (PAC) on the overall performance of a submerged membrane bioreactor (SMBR) system integrated with nanofiltration (NF) for wastewater reclamation. It was found that the trans-membrane pressure of SMBR increased continuously while that of the SMBR with PAC was more stable, mainly because water could still pass through the PACs and membrane even though foulants adhered on the PAC surface. The presence of PAC was able to mitigate fouling in SMBR as well as in NF. SMBR-NF with PAC obtained a higher flux of 8.1 LMH compared to that without PAC (6.6 LMH). In addition, better permeate quality was obtained with SMBR-NF integrated process added with PAC. The present results suggest that the addition of PAC in integrated SMBR-NF process could possibly lead to satisfying water quality and can be operated for a long-term duration.
Woo, YC, Tijing, LD, Shim, W-G, Choi, J-S, Kim, S-H, He, T, Drioli, E & Shon, HK 2016, 'Water desalination using graphene-enhanced electrospun nanofiber membrane via air gap membrane distillation', JOURNAL OF MEMBRANE SCIENCE, vol. 520, pp. 99-110.
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© 2016 This study demonstrates the preparation and desalination performance via air gap membrane distillation (AGMD) of a graphene-loaded electrospun nanofiber membrane. Different concentrations of graphene (0–10 wt%) were incorporated in/on electrospun polyvinylidene fluoride-co-hexafluoropropylene (PH) membrane to obtain a robust, and superhydrophobic nanocomposite membrane. The results showed that graphene incorporation has significantly enhanced the membrane structure and properties with an optimal concentration of 5 wt% (i.e., G5PH). Characterization of G5PH revealed membrane porosity of >88%, contact angle of >162° (superhydrophobic), and high liquid entry pressure (LEP) of >186 kPa. These favourable properties led to a high and stable AGMD flux of 22.9 L/m2 h or LMH (compared with ~4.8 LMH for the commercial PVDF flat-sheet membrane) and excellent salt rejection (100%) for 60 h of operation using 3.5 wt% NaCl solution as feed (feed and coolant inlet temperatures of 60 and 20 °C, respectively). A two-dimensional dynamic model to investigate the flux profile of the graphene/PH membrane is also introduced. The present study suggests that exploiting the interesting properties of nanofibers and graphene nanofillers through a facile electrospinning technique provides high potential towards the fabrication of a robust and high-performance AGMD membrane.
Wu, B, Wu, D, Gao, W & Song, C 2016, 'Time-variant random interval response of concrete-filled steel tubular composite curved structures', Composites Part B: Engineering, vol. 94, pp. 122-138.
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© 2016 Elsevier Ltd. All rights reserved. Comprehensive investigation into uncertain time-dependent structural responses of concrete-filled steel tubular composite curved structures is presented. Diverse uncertainties including variational material properties, inevitable viscoelastic effects, as well as random environmental influences are addressed simultaneously. A new hybrid probabilistic and interval computational method is proposed for robustly assessing both time-dependent serviceability and strength limit of concrete-filled steel tubular arch structures involving both random and interval variables. The proposed approach offers a unified analysis framework, which adequately delivers the time-dependent bounds of statistical characteristics (i.e., lower and upper bounds of means and standard deviations) of structural behaviours. In this non-simulative computational scheme, general formulations on the time-dependent bounds of means and standard deviations are explicitly derived. Applicability, accuracy and efficiency of the proposed method are revealed by practically motivated examples. In addition, time-dependent hybrid probabilistic interval features of structural responses of concrete-filled steel tubular composite arch structures are systematically studied.
Wu, C, Goh, WL, Kok, CL, Siek, L, Lam, YH, Zhu, X & Singh, RP 2016, 'Asymmetrical Dead-Time Control Driver for Buck Regulator', IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no. 12, pp. 3543-3547.
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This brief presents an asymmetrical dead-time control driver (ASDTCD) for synchronous buck converter operating in the continuous conduction mode. Dead-time control is an important metric for improving the efficiency of switching mode power regulator. Without an additional circuit, the proposed ASDTCD can generate dead time by controlling the slope for the output signal of the driver. The proposed ASDTCD utilizes the transition between triode region and saturation region for the power transistor to avoid body-diode conduction and shoot-through current while minimizing the switching loss. Thus, high-speed body-diode conduction sensor is avoided; thereby, reducing the power consumption and saving silicon area. In addition, the body-diode conduction time control accuracy is also enhanced. Less than 1-ns body-diode conduction time has been achieved without bringing in shoot-through current across 10-450-mA load range. With less than 0.5% of the total input power consumed, the proposed ASDTCD takes less than 1% of the power transistor area. This design is implemented in the 0.18-μm CMOS process.
Wu, D, Chen, W & Ni, W 2016, 'Software Implementation of BeiDou B1I Code Generator Using Matlab/Simulink', Recent Patents on Computer Science, vol. 9, no. 1, pp. 74-80.
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Conventional Matlab implementation of software ranging code generator requires code shifts to produce the ranging codes assigned to different satellites. Unfortunately, it is unable to implement software BeiDou B1I code generator using this method, because the B1I code shifts are unknown. Based on the generator revealed in BeiDou Interface Control Document (BICD), a software generator is implemented by using Simulink blocks in conjunction with Matlab programs in this paper. The Simulink blocks enable the generator to compute the BeiDou B1I code shifts, as well as reducing the complexity of the implementation. Simulation results show that the implementation is feasible and reliable. All B1I code shifts are calculated, which can be used for both software and hardware implementation in the future. Patents describing a wide range of applications based on the BeiDou system have also been proposed and implemented.
Wu, D, Gao, W, Feng, J & Luo, K 2016, 'Structural behaviour evolution of composite steel-concrete curved structure with uncertain creep and shrinkage effects', Composites Part B: Engineering, vol. 86, pp. 261-272.
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© 2015 Elsevier Ltd. This paper presents a new computational scheme to robustly determine the structural behaviour (both serviceability and strength) of composite concrete-filled steel tubular (CFST) arch with consideration of uncertain creep and shrinkage effects. The focused uncertainties in this study originate from the intrinsic viscoelastic effects of concrete, which inevitably affect the structural performance of CFST arch through its service life. Due to the diverse variations and intricate nature of creep and shrinkage observed in engineering practices, it is advisable that the two mercurial parameters are modelled as uncertain-but-bounded variables. The effects of uncertain creep and shrinkage on the long-term structural behaviour are investigated such that the worst and best scenarios of structural responses at each specific loading time can be precisely calculated. The proposed computational method competently determines the bounded structural responses at any specific loading time such that, evolutions of structural behaviours of CFST arch can be quantitatively constructed for the purpose of safety assessment. Numbers of often encountered engineering examples are investigated to illustrate the capability, credibility and efficiency of the proposed approach.
Wu, D, Gao, W, Song, C & Tangaramvong, S 2016, 'Probabilistic interval stability assessment for structures with mixed uncertainty', Structural Safety, vol. 58, pp. 105-118.
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© 2015 Elsevier Ltd A new hybrid probabilistic and interval computational scheme is proposed to robustly assess the stability of engineering structures involving mixture of random and interval variables. Such hybrid approach possesses noticeable flexibility by directly implementing primitive information on uncertain system parameters, thus the validity of the structural safety assessment against uncertainties can be improved. By implementing the different types of uncertainties, the presented approach is able to separately investigate the effects of random and interval variables acting upon the overall structural stability. A unified interval stochastic sampling (UISS) approach is proposed to calculate the statistical characteristics (i.e., mean and standard deviation) of the lower and upper bounds of the linear bifurcation buckling load of engineering structure involving hybrid uncertain system parameters. Consequently, the stability profile of engineering structure against various uncertainties can be parametrically established, such that the bounds on the maximum structural buckling load at any particular percentile of probability can be effectively determined. Both academic and practically motivated engineering structures have been thoroughly investigated by rigorously establishing the corresponding structural stability profiles, so the applicability and accuracy of the proposed method can be critically justified.
Wu, D, Gao, W, Tin-Loi, F & Pi, Y-L 2016, 'Probabilistic interval limit analysis for structures with hybrid uncertainty', Engineering Structures, vol. 114, pp. 195-208.
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© 2016 Elsevier Ltd. In this study, the hybrid probabilistic interval limit analysis is introduced to assess the safety of engineering structures against plastic collapse. The presented hybrid uncertainty analysis framework can flexibly model different types of uncertain variables basing on the primitive information of uncertain system parameters. A hybrid probabilistic and interval computational scheme, namely the unified interval stochastic sampling (UISS) approach, is proposed to determine the statistical characteristics (i.e., mean and standard deviation) of the lower and upper bounds of the collapse loads of engineering structures involving mixture of random and interval uncertain system parameters. Consequently, the bounds of structural reliability against collapse failure can be efficiently estimated. The applicability and accuracy of the proposed hybrid uncertain limit analysis are critically justified through the investigations on both academic and practically motivated engineering structures.
Wu, D, Gao, W, Wang, C, Tangaramvong, S & Tin-Loi, F 2016, 'Robust fuzzy structural safety assessment using mathematical programming approach', Fuzzy Sets and Systems, vol. 293, pp. 30-49.
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© 2015 Elsevier B.V. All rights reserved. This paper presents a robust safety assessment for engineering structures involving fuzzy uncertainties. Uncertain applied loads and yielding capacities of structural elements are modelled as fuzzy variables with associated membership functions representing possibility distributions. A new computation-orientated methodology, namely the α-level collapse assessment (α-level CA) approach, is developed to provide structural safety profile by constructing membership function of the structural collapse load limit accommodating fuzzy uncertainties. The proposed method firstly utilizes the α-level strategy to transform the fuzzy limit analysis into a series of interval limit analyses. By implementing the concept of robust and optimistic optimizations, a mathematical programming (MP) scheme is proposed to explicitly capture the upper and lower bounds of the collapse load limit at each α-sublevel. Subsequently, the membership function of the collapse load limit is established by using the upper and lower bounds obtained from the series of α-sublevel calculations. The proposed α-level mathematical programming scheme preserves the quality of sharpness of the bounds of collapse load limit at each α-sublevel, which consequently provides a rigorous evaluation on the fuzzy profile of the safety of engineering structures against structural collapse. Numbers of numerical examples, motivated by real-world engineering applications, have been investigated to illustrate the accuracy, efficiency and applicability of the proposed method.
Wu, F, Fang, H, Li, X, Tang, S, Lu, W, Yang, Y, Zhu, W & Zhuang, Y 2016, 'Aspect Learning for Multimedia Summarization via Nonparametric Bayesian', IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 10, pp. 1931-1942.
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Wu, H, Fan, J, Zhang, J, Ngo, HH, Guo, W, Hu, Z & Lv, J 2016, 'Optimization of organics and nitrogen removal in intermittently aerated vertical flow constructed wetlands: Effects of aeration time and aeration rate', International Biodeterioration & Biodegradation, vol. 113, pp. 139-145.
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In this study, to optimize aeration for the enhancement of organics and nitrogen removal in intermittently aerated vertical flow constructed wetlands (VF CWs) for treating domestic wastewater, the experimental VF CWs were operated at different aeration time (1 h d-1, 2 h d-1, 4 h d-1, 6 h d-1, 8 h d-1 and 10 h d-1) and aeration rate (0.1 L min-1, 0.2 L min-1, 0.5 L min-1, 1.0 L min-1 and 2.0 L min-1) to investigate the effect of artificial aeration on the removal efficiency of organics and nitrogen. The results showed that the optimal aeration time and aeration rate were 4 h d-1 and 1.0 L min-1, which could create the appropriate aerobic and anoxic regions in CWs with the greater removal of COD (97.2%), NH4 +-N (98.4%) and TN (90.6%) achieved simultaneously during the experiment. The results demonstrate that the optimized intermittent aeration is reliable option to enhance the treatment performance of organics and nitrogen at a lower operating cost.
Wu, H, Fan, J, Zhang, J, Ngo, HH, Guo, W, Liang, S, Lv, J, Lu, S, Wu, W & Wu, S 2016, 'Intensified organics and nitrogen removal in the intermittent-aerated constructed wetland using a novel sludge-ceramsite as substrate', Bioresource Technology, vol. 210, pp. 101-107.
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Wu, H, Lin, L, Zhang, J, Guo, W, Liang, S & Liu, H 2016, 'Purification ability and carbon dioxide flux from surface flow constructed wetlands treating sewage treatment plant effluent', Bioresource Technology, vol. 219, pp. 768-772.
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Wu, J, Gao, J, Luo, Z & Brown, T 2016, 'Robust topology optimization for structures under interval uncertainty', Advances in Engineering Software, vol. 99, pp. 36-48.
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© 2016 Elsevier Ltd. All rights reserved. This paper proposes a new non-probabilistic robust topology optimization approach for structures under interval uncertainty, as a complementarity of the probabilistic robust topology optimization methods. Firstly, to avoid the nested double-loop optimization procedure that is time consuming in computations, the interval arithmetic is introduced to estimate the bounds of the interval objective function and formulate the design problem under the worst scenario. Secondly, a type of non-intrusive method using the Chebyshev interval inclusion function is established to implement the interval arithmetic. Finally, a new sensitivity analysis method is developed to evaluate the design sensitivities for objective functions like structural mean compliance with respect to interval uncertainty. It can overcome the difficulty due to non-differentiability of intervals and enable the direct application of gradient-based optimization algorithms, e.g. the Method of Moving Asymptotes (MMA), to the interval uncertain topology optimization problems. Several examples are used to demonstrate the effectiveness of the proposed method.
Wu, J, Wang, J, Qin, S & Lu, H 2016, 'Suitable error evaluation criteria selection in the wind energy assessment via the K-means clustering algorithm', International Journal of Green Energy, vol. 13, no. 11, pp. 1145-1162.
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© 2016 Taylor & Francis Group, LLC. In this paper, wind energy potential of four locations in Xinjiang region is assessed. The Weibull distribution as well as the Logistic and the Lognormal distributions are applied to describe the distributions of the wind speed at different heights. In determining the parameters in the Weibull distribution, four intelligent parameter optimization approaches including the differential evolutionary, the particle swarm optimization, and two other approaches derived from these two algorithms and combined advantages of these two approaches are employed. Then the optimal distribution is chosen through the Chi-square error (CSE), the Kolmogorov–Smirnov test error (KSE), and the root mean square error (RMSE) criteria. However, it is found that the variation range of some criteria is quite large, thus these criteria are analyzed and evaluated both from the anomalous values and by the K-means clustering method. Anomaly observation results have shown that the CSE is the first one should be considered to be eliminated from the consequent optimal distribution function selection. This idea is further confirmed by the K-means clustering algorithm, by which the CSE is clustered into a different group with KSE and RMSE. Therefore, only the reserved two error evaluation criteria are utilized to evaluate the wind power potential.
Wu, L, Qiu, X, Burnett, I & Guo, Y 2016, 'Uncertainties of reverberation time estimation via adaptively identified room impulse responses', JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, vol. 139, no. 3, pp. 1093-1100.
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Wu, M, Wang, M, Soar, J & Gide, E 2016, 'China’s E-Commerce Higher Education: A 15 Years Review from International Viewpoint', Open Journal of Social Sciences, vol. 04, no. 10, pp. 155-164.
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Wu, X, Liu, M, Dou, W & Yu, S 2016, 'DDoS attacks on data plane of software‐defined network: are they possible?', Security and Communication Networks, vol. 9, no. 18, pp. 5444-5459.
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AbstractWith software‐defined networking (SDN) becoming the leading technology for large‐scale networks, it is definitely expected that SDN will suffer various types of distributed denial‐of‐service (DDoS) attacks because of its centralized control logic. However, almost all of existing works concentrate on the controller overloading DDoS attacks, while vulnerabilities exposed by data plane of SDN for DDoS attacks are largely ignored. In this paper, we firstly investigate a flow rule flooding DDoS attack. By thoroughly analyzing the flow table size and miss rate, we find that attackers are able to inflict significant performance degradation over the system with limited volume of attack resource. We then prove that it is possible for attackers to maximize the performance degradation and minimize the attack rate at the same time. Besides the flooding DDoS attack, we also study a novel DDoS attack targeting data plane of SDN. By utilizing the entry lifetime management mechanism of flow tables, this attack almost never exhibits an intensive controller access behavior. It flies under the radar by inflicting non‐notable performance impact on the system, while it creates heavy long‐term financial burden on the target application. Finally, we present a potential countermeasure for this stealthy DDoS attack. Through extensive experiments, we conclude that DDoS attacks targeting data plane are possible. Copyright © 2016 John Wiley & Sons, Ltd.
Wu, X, Liu, M, Dou, W, Gao, L & Yu, S 2016, 'A scalable and automatic mechanism for resource allocation in self-organizing cloud', Peer-to-Peer Networking and Applications, vol. 9, no. 1, pp. 28-41.
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Taking advantage of the huge potential of consumers’ untapped computing power, self-organizing cloud is a novel computing paradigm where the consumers are able to contribute/sell their computing resources. Meanwhile, host machines held by the consumers are connected by a peer-to-peer (P2P) overlay network on the Internet. In this new architecture, due to large and varying multitudes of resources and prices, it is inefficient and tedious for consumers to select the proper resource manually. Thus, there is a high demand for a scalable and automatic mechanism to accomplish resource allocation. In view of this challenge, this paper proposes two novel economic strategies based on mechanism design. Concretely, we apply the Modified Vickrey Auction (MVA) mechanism to the case where the resource is sufficient; and the Continuous Double Auction (CDA) mechanism is employed when the resource is insufficient. We also prove that aforementioned mechanisms have dominant strategy incentive compatibility. Finally, extensive experiment results are conducted to verify the performance of the proposed strategies in terms of procurement cost and execution efficiency.
Wu, Y, Shivakumara, P, Lu, T, Tan, CL, Blumenstein, M & Kumar, GH 2016, 'Contour Restoration of Text Components for Recognition in Video/Scene Images', IEEE Transactions on Image Processing, vol. 25, no. 12, pp. 5622-5634.
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Text recognition in video/natural scene images has gained significant attention in the field of image processing in many computer vision applications, which is much more challenging than recognition in plain background images. In this work, we aim to restore complete character contours in video/scene images from gray values, in contrast to the conventional techniques that consider edge images/binary information as inputs for text detection and recognition. We explore and utilize the strengths of zero crossing points given by the Laplacian to identify stroke candidate pixels (SPC). For each SPC pair, we propose new symmetry features based on gradient magnitude and Fourier phase angles to identify probable stroke candidate pairs (PSCP). The same symmetry properties are proposed at the PSCP level to choose seed stroke candidate pairs (SSCP). Finally, an iterative algorithm is proposed for SSCP to restore complete character contours. Experimental results on benchmark databases, namely, the ICDAR family of video and natural scenes, Street View Data (SVT), and MSRA datasets, show that the proposed technique outperforms the existing techniques in terms of both quality measures and recognition rate. We also show that character contour restoration is effective for text detection in video and natural scene images.
Wu, Y, Wang, J, Zhang, H, Ngo, HH, Guo, W & Zhang, N 2016, 'The impact of gas slug flow on microfiltration performance in an airlift external loop tubular membrane reactor', RSC Advances, vol. 6, no. 110, pp. 109067-109075.
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Under low gas-velocity, the cake layer gradually formed. Then high gas-velocity scoured the cake layer, which obstructed the cake layer's formation.
Xia, F, Liu, H, Lee, I & Cao, L 2016, 'Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences', IEEE Transactions on Big Data, vol. 2, no. 2, pp. 101-112.
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Xia, G, Tan, Y, Wu, F, Fang, F, Sun, D, Guo, Z, Huang, Z & Yu, X 2016, 'Graphene-wrapped reversible reaction for advanced hydrogen storage', Nano Energy, vol. 26, pp. 488-495.
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Here, we report the fabrication of a graphene-wrapped nanostructured reactive hydride composite, i.e., 2LiBH4-MgH2, made by adopting graphene-supported MgH2 nanoparticles (NPs) as the nanoreactor and heterogeneous nucleation sites. The porous structure, uniform distribution of MgH2 NPs, and the steric confinement by flexible graphene induced a homogeneous distribution of 2LiBH4-MgH2 nanocomposite on graphene with extremely high loading capacity (80 wt%) and energy density. The well-defined structural features, including even distribution, uniform particle size, excellent thermal stability, and robust architecture endow this composite with significant improvements in its hydrogen storage performance. For instance, at a temperature as low as 350 °C, a reversible storage capacity of up to 8.9 wt% H2, without degradation after 25 complete cycles, was achieved for the 2LiBH4-MgH2 anchored on graphene. The design of this three-dimensional architecture can offer a new concept for obtaining high performance materials in the energy storage field.
XIA, M & JI, Z 2016, 'The limits of computation', Chinese Science Bulletin, vol. 61, no. 4-5, pp. 404-408.
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The powerful idea of computation has accompanied the development of human civilization, has deeply changed the way we live and work, and has accelerated the advancement of many areas of sciences. In this article, we explore the power and limits of computation from several different perspectives. We will discuss topics from the models of computation and Church-Turing thesis, to the impact of the P versus NP problem and quantum computing on our understanding of the limits of computation. More concretely, we will explore the computability and the halting problem, the efficiency problem of computation, the P versus NP problem. We then move on to the discussion of quantum computation, quantum algorithm for factoring and its implications, quantum simulation and the relation between quantum and classical computations.
Xia, Y, Wu, C, Liu, Z-X & Yuan, Y 2016, 'Protective effect of graded density aluminium foam on RC slab under blast loading – An experimental study', Construction and Building Materials, vol. 111, pp. 209-222.
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© 2016 Elsevier Ltd. All rights reserved. In recent decades, bomb incidents have significantly increased due to various blast accidents and growing terrorist threats. Therefore, the protection of important infrastructures against blast loading has never been more important. Aluminium foam, which is often used as a protective layer to absorb impact energy, has demonstrated its ability to mitigate blast effect in several studies. The outstanding energy absorption capacity of aluminium foam is mainly resulted from its long-lasting plateau-stress region which allows it to only transmit a small stress (which is equal to the plateau stress) to the protected structure while absorbing the rest by self-compaction. For aluminium foam that is manufactured by the same method, the overall energy absorbing capacity per unit volume increases proportionally with mass density; however, the plateau stress also increases with mass density which means a larger stress would be transmitted to the protected structure. Therefore, there is a trade-off between the mass density and the transmitted stress. In order to increase the overall energy absorbing capacity of aluminium foam while keeping the transmitted stress at a reasonably low magnitude, the idea of density-graded foam has been proposed which is simply a foam structure with various densities along its thickness. In this paper, the effectiveness of density-graded foams has been investigated. A number of static compressive tests are conducted on different types of aluminium foams including aluminium foams with uniform density, density-graded aluminium foams with linear gradient as well as density-graded aluminium foams with unordered gradient. In addition, a blast test program is also carried out to investigate the blast mitigation effect of graded density foams on reinforced concrete (RC) slabs.
Xiao, F, Chen, Z, Casillas, G, Richardson, C, Li, H & Huang, Z 2016, 'Controllable synthesis of few-layered and hierarchically porous boron nitride nanosheets', Chemical Communications, vol. 52, no. 20, pp. 3911-3914.
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Few-layered porous boron nitride nanosheets prepared using MgB2 as a dynamic template show good CO2 adsorption selectivity.
Xiao, J, Qu, W, Li, W & Zhu, P 2016, 'Investigation on effect of aggregate on three non-destructive testing properties of concrete subjected to sulfuric acid attack', Construction and Building Materials, vol. 115, pp. 486-495.
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© 2016 Elsevier Ltd. All rights reserved. In order to investigate the effect of aggregates on the concrete sulfuric acid resistance, accelerated corrosion experiments were conducted with four types of concretes composed of coarse and fine aggregates with two different chemical compositions. All the concretes with the same water/cement ratio of 0.45, and the pH value was kept in the range of 0.93-0.97. With continuous monitoring of each concrete specimen, corrosion depth, mass loss, and dynamic modulus elasticity loss were calculated. The results showed that the dynamic modulus of elasticity loss can be regard as an acceptable indicator for evaluating the resistance of concrete to sulfuric acid attack as well as corrosion depth and mass loss. A regression model proposed in this paper could provide good predictions. Concrete with marble aggregates rich in calcium carbonate have better performances in sulfuric acid solution than that with inert aggregates. Effect of fine aggregate on concrete sulfuric acid corrosion rate is more significant than coarse aggregate in the term of corrosion depth, mass loss, and dynamic modulus of elasticity loss.
Xiao, L, Shao, W, Wang, C, Zhang, K & Lu, H 2016, 'Research and application of a hybrid model based on multi-objective optimization for electrical load forecasting', Applied Energy, vol. 180, pp. 213-233.
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Xie, G-J, Liu, B-F, Ding, J, Wang, Q, Ma, C, Zhou, X & Ren, N-Q 2016, 'Effect of carbon sources on the aggregation of photo fermentative bacteria induced by L-cysteine for enhancing hydrogen production', Environmental Science and Pollution Research, vol. 23, no. 24, pp. 25312-25322.
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Poor flocculation of photo fermentative bacteria resulting in continuous biomass washout from photobioreactor is a critical challenge to achieve rapid and stable hydrogen production. In this work, the aggregation of Rhodopseudomonas faecalis RLD-53 was successfully developed in a photobioreactor and the effects of different carbon sources on hydrogen production and aggregation ability were investigated. Extracellular polymeric substances (EPS) production by R. faecalis RLD-53 cultivated using different carbon sources were stimulated by addition of L-cysteine. The absolute ζ potentials of R. faecalis RLD-53 were considerably decreased with addition of L-cysteine, and aggregation barriers based on DLVO dropped to 15-43 % of that in control groups. Thus, R. faecalis RLD-53 flocculated effectively, and aggregation abilities of strain RLD-53 cultivated with acetate, propionate, lactate and malate reached 29.35, 32.34, 26.07 and 24.86 %, respectively. In the continuous test, hydrogen-producing activity was also promoted and reached 2.45 mol H2/mol lactate, 3.87 mol H2/mol propionate and 5.10 mol H2/mol malate, respectively. Therefore, the aggregation of R. faecalis RLD-53 induced by L-cysteine is independent on the substrate types, which ensures the wide application of this technology to enhance hydrogen recovery from wastewater dominated by different organic substrates.
Xie, G-J, Liu, B-F, Wang, Q, Ding, J & Ren, N-Q 2016, 'Ultrasonic waste activated sludge disintegration for recovering multiple nutrients for biofuel production', Water Research, vol. 93, pp. 56-64.
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Waste activated sludge is a valuable resource containing multiple nutrients, but is currently treated and disposed of as an important source of pollution. In this work, waste activated sludge after ultrasound pretreatment was reused as multiple nutrients for biofuel production. The nutrients trapped in sludge floc were transferred into liquid medium by ultrasonic disintegration during first 30 min, while further increase of pretreatment time only resulted in slight increase of nutrients release. Hydrogen production by Ethanoligenens harbinense B49 from glucose significantly increased with the concentration of ultrasonic sludge, and reached maximum yield of 1.97 mol H2/mol glucose at sludge concentration of 7.75 g volatile suspended solids/l. Without addition of any other chemicals, waste molasses rich in carbohydrate was efficiently turned into hydrogen with yield of 189.34 ml H2/g total sugar by E. harbinense B49 using ultrasonic sludge as nutrients. The results also showed that hydrogen production using pretreated sludge as multiple nutrients was higher than those using standard nutrients. Acetic acid produced by E. harbinense B49 together with the residual nutrients in the liquid medium were further converted into hydrogen (271.36 ml H2/g total sugar) by Rhodopseudomonas faecalis RLD-53 through photo fermentation, while ethanol was the sole end product with yield of 220.26 mg/g total sugar. Thus, pretreated sludge was an efficient nutrients source for biofuel production, which could replace the standard nutrients. This research provided a novel strategy to achieve environmental friendly sludge disposal and simultaneous efficient biofuel recovery from organic waste.
Xie, M, Shon, HK, Gray, SR & Elimelech, M 2016, 'Membrane-based processes for wastewater nutrient recovery: Technology, challenges, and future direction', Water Research, vol. 89, pp. 210-221.
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© 2015 Elsevier Ltd. Wastewater nutrient recovery holds promise for more sustainable water and agricultural industries. We critically review three emerging membrane processes - forward osmosis (FO), membrane distillation (MD) and electrodialysis (ED) - that can advance wastewater nutrient recovery. Challenges associated with wastewater nutrient recovery were identified. The advantages and challenges of applying FO, MD, and ED technologies to wastewater nutrient recovery are discussed, and directions for future research and development are identified. Emphasis is given to exploration of the unique mass transfer properties of these membrane processes in the context of wastewater nutrient recovery. We highlight that hybridising these membrane processes with existing nutrient precipitation process will lead to better management of and more diverse pathways for near complete nutrient recovery in wastewater treatment facilities.
Xie, S, Hai, FI, Zhan, X, Guo, W, Ngo, HH, Price, WE & Nghiem, LD 2016, 'Anaerobic co-digestion: A critical review of mathematical modelling for performance optimization', Bioresource Technology, vol. 222, pp. 498-512.
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© 2016 Anaerobic co-digestion (AcoD) is a pragmatic approach to simultaneously manage organic wastes and produce renewable energy. This review demonstrates the need for improving AcoD modelling capacities to simulate the complex physicochemical and biochemical processes. Compared to mono-digestion, AcoD is more susceptible to process instability, as it operates at a higher organic loading and significant variation in substrate composition. Data corroborated here reveal that it is essential to model the transient variation in pH and inhibitory intermediates (e.g. ammonia and organic acids) for AcoD optimization. Mechanistic models (based on the ADM1 framework) have become the norm for AcoD modelling. However, key features in current AcoD models, especially relationships between system performance and co-substrates’ properties, organic loading, and inhibition mechanisms, remain underdeveloped. It is also necessary to predict biogas quantity and composition as well as biosolids quality by considering the conversion and distribution of sulfur, phosphorus, and nitrogen during AcoD.
Xie, W-M, Ni, B-J, Sheng, G-P, Seviour, T & Yu, H-Q 2016, 'Quantification and kinetic characterization of soluble microbial products from municipal wastewater treatment plants', Water Research, vol. 88, pp. 703-710.
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Soluble microbial products (SMP) formed by microorganisms in wastewater treatment plants (WWTPs) adversely affect final effluent quality and treatment efficiency. It is difficult to distinguish SMP from residual proteins, lipids and carbohydrates present in the influent that may persist during treatment. No method is currently available to determine quantitatively the extent to which SMP contribute to organic discharges from municipal WWTPs. In this work a modeling approach is presented which allows the SMP fraction of the effluent of a municipal WWTP to be quantified and described. The model is validated, in terms of utilization-associated products, biomass-associated products and extracellular polymeric substances, using influent from a municipal WWTP. SMP was found to account for, on average, 27 mg/L of chemical oxygen demand (COD), or 61% of the total COD in the WWTP effluent. Over 90% of the SMP was comprised of biomass-associated products. Five main factors influencing SMP formation in WWTP were evaluated. Neither wastewater composition nor mixed liquor suspended solids concentration was found to affect SMP production. On the other hand, a positive correlation was observed for SMP formation with both solids retention time and influent COD concentration, and a negative correlation with hydraulic retention time. Thus, operating or designing WWTPs with short solids retention and long hydraulic retention times could be considered as solutions for minimizing SMP production.
Xin, T, Lu, D, Klassen, J, Yu, N, Ji, Z, Chen, J, Ma, X, Long, G, Zeng, B & Laflamme, R 2016, 'Quantum state tomography via reduced density matrices', Phys. Rev. Lett., vol. 118, no. 2, pp. 020401-020401.
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Quantum state tomography via local measurements is an efficient tool forcharacterizing quantum states. However it requires that the original globalstate be uniquely determined (UD) by its local reduced density matrices (RDMs).In this work we demonstrate for the first time a class of states that are UD bytheir RDMs under the assumption that the global state is pure, but fail to beUD in the absence of that assumption. This discovery allows us to classifyquantum states according to their UD properties, with the requirement that eachclass be treated distinctly in the practice of simplifying quantum statetomography. Additionally we experimentally test the feasibility and stabilityof performing quantum state tomography via the measurement of local RDMs foreach class. These theoretical and experimental results advance the project ofperforming efficient and accurate quantum state tomography in practice.
Xiong, P, Zhu, T, Niu, W & Li, G 2016, 'A differentially private algorithm for location data release', Knowledge and Information Systems, vol. 47, no. 3, pp. 647-669.
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The rise of mobile technologies in recent years has led to large volumes of location information, which are valuable resources for knowledge discovery such as travel patterns mining and traffic analysis. However, location dataset has been confronted with serious privacy concerns because adversaries may re-identify a user and his/her sensitivity information from these datasets with only a little background knowledge. Recently, several privacy-preserving techniques have been proposed to address the problem, but most of them lack a strict privacy notion and can hardly resist the number of possible attacks. This paper proposes a private release algorithm to randomize location dataset in a strict privacy notion, differential privacy, with the goal of preserving users’ identities and sensitive information. The algorithm aims to mask the exact locations of each user as well as the frequency that the user visits the locations with a given privacy budget. It includes three privacy-preserving operations: private location clustering shrinks the randomized domain and cluster weight perturbation hides the weights of locations, while private location selection hides the exact locations of a user. Theoretical analysis on privacy and utility confirms an improved trade-off between privacy and utility of released location data. Extensive experiments have been carried out on four real-world datasets, GeoLife, Flickr, Div400 and Instagram. The experimental results further suggest that this private release algorithm can successfully retain the utility of the datasets while preserving users’ privacy.
Xu, G, Qiu, L & Peng, X 2016, 'Hot topic extraction and public opinion classification of tibetan texts', Journal of Digital Information Management, vol. 14, no. 3, pp. 160-167.
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The increasing amount of Tibetan information has made Tibetan text processing popular and highly significant. In this study, Tibetan hot topic extraction and public opinion classification were investigated to accelerate the development of Tibetan information processing. First, Tibetan word segmentation in Tibetan hot topic extraction was presented. Second, feature selection based on term frequency and that based on document frequency was adopted to decrease feature dimensions. Third, a vector space model was used to conduct text representation. Finally, a statistical-based method was utilized to extract hot topics. In studying public opinion classification, a keyword table of public opinion needed to be established to conduct Tibetan public opinion classification. According to field, 18 classes were selected and used for public opinion classification. A keyword table of public opinion was constructed by domain experts. The approach to public opinion classification was introduced on the basis of the proposed similarity computation method. Depending on the proposed approaches, the application system was developed and used to carry out the experiments. Experiments show that the proposed method can extract topics effectively and classify public opinion rapidly. This research is helpful and meaningful for text classification, information retrieval, and construction of high-quality corpus.
Xu, J, Cao, Z, Liu, X, Zhao, H, Xiao, X, Wu, J, Xu, X & Zhou, JL 2016, 'Preparation of functionalized Pd/Fe-Fe3O4@MWCNTs nanomaterials for aqueous 2,4-dichlorophenol removal: Interactions, influence factors, and kinetics', Journal of Hazardous Materials, vol. 317, pp. 656-666.
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© 2016 Elsevier B.V. Magnetic multi-walled carbon nanotubes (MWCNTs) were prepared to support Pd/Fe nanoparticles, inhibit the aggregation and passivation, and achieve magnetic separation to avoid the environmental risk of nanoparticles. Rapid adsorption of initial contaminant, steady dechlorination, and gradual desorption of final product was observed. The micromorphology, chemical structure, and components of the nanohybrids were comprehensively characterized by a series of analysis technologies, such as EDX, XRD, SEM, TEM, and XPS. The interactions between the nanohybrids compositions were discussed according to the characterization and experimental data. The whole insight of 2,4-dichlorophenol (2,4-DCP) adsorption- dechlorination-desorption was studied in detail, including the pathways, influence factors, dechlorination kinetics and selectivity. Weak acidity (pH = 5.0 and 6.5) favored the 2,4-DCP removal. Satisfactory reactivity of the Pd/Fe-Fe3O4@MWCNTs nanohybrids was observed in five consecutive runs, and 99.2%, 89.6%, 92.1%, 99.8%, and 99.9% of 2,4-DCP was removed, respectively. Most of the final product (phenol) was steadily desorbed to the liquid phase, resulted in the re-exposure of active sites on the nanohybrids and maintained a longer activity.
Xu, J, Gao, X, Jiang, Z & Wei, D 2016, 'A Comparison of Hot Deformation Behavior of High‐Cr White Cast Iron and High‐Cr White Cast Iron/Low Carbon Steel Laminate', steel research international, vol. 87, no. 6, pp. 780-788.
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In order to study the plastic deformation characteristics of the brittle high‐Cr white cast iron in upsetting process, and find out the mechanism for improving the formability of the cast iron within the laminated composite, the hot forging process of monolithic high‐Cr white cast iron and high‐Cr white cast iron/low carbon steel laminate is simulated by means of hot compression tests using Gleeble 3500 thermo mechanical simulator and professional plastic forming software DEFORM‐3D. The results reveal that during hot compression process, the monolithic cast iron suffered severe barreling and cracking, whereas the cast iron layer within the laminate underwent large plastic deformation with barreling‐free and crack‐free. Such a significant improvement can be attributed to the simultaneous deformation of the cast iron together with the low carbon steel claddings, which is beneficial to relieving the stress in the cast iron and changing its deformation mode. Under the triaxial compressive stress state, the brittle high‐Cr white cast iron within the laminate can flow like a ductile material at high temperatures and low strain rates.
Xu, J, Gao, X, Jiang, Z, Wei, D & Jiao, S 2016, 'Microstructure and hot deformation behaviour of high-carbon steel/low-carbon steel bimetal prepared by centrifugal composite casting', The International Journal of Advanced Manufacturing Technology, vol. 86, no. 1-4, pp. 817-827.
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Bimetal consisting of high-carbon steel and low-carbon steel was prepared by centrifugal composite casting, and thermo mechanical treatments were carried out by hot compression tests using Gleeble 3500 thermo mechanical simulator. The characteristics of microstructure and hot deformation behaviour of the bimetal were investigated. It is concluded that a sound metallurgical bond was achieved by micro mass transfer across the interface between the constituent steels. Four different microstructural regions (including low-carbon steel region, interface region, fully pearlitic region and pro-eutectoid ferritic/pearlitic region) with different mechanical properties were found, which resulted in heterogeneity of plastic deformation within the bimetal. Regardless of strain rate, the low-carbon steel layer preferentially extruded from the bimetal when deformation temperature was below 900 °C, whereas the extrusion was not observed at 900, 1000 and 1100 °C. This indicated that the high-carbon steel/low-carbon steel bimetal can be processed like monolithic material.
Xu, J, Liu, X, Lowry, GV, Cao, Z, Zhao, H, Zhou, JL & Xu, X 2016, 'Dechlorination Mechanism of 2,4-Dichlorophenol by Magnetic MWCNTs Supported Pd/Fe Nanohybrids: Rapid Adsorption, Gradual Dechlorination, and Desorption of Phenol', ACS Applied Materials & Interfaces, vol. 8, no. 11, pp. 7333-7342.
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© 2016 American Chemical Society. 2,4-dichlorophenol was effectively removed from water using magnetic Pd/Fe nanoparticles supported on multiwalled carbon nanotubes (MWCNTs). The adsorption kinetics, isotherms, and energy for 2,4-dichlorophenol and its partially (4-chlorophenol, 2-chlorophenol) and completely (phenol) dechlorinated products are presented and discussed. The adsorption capacity was 2,4-dichlorophenol > 4-chlorophenol > 2-chlorophenol > phenol for MWCNTs. MWCNTs-Fe3O4-Pd/Fe nanohybrids provided rapid adsorption, gradual dechlorination, and final desorption of phenol, which is attractive as a remediation technology. Over 82.7% of the phenol was desorbed and released to the aqueous phase after 72 h due to its low adsorption capacity, leaving the majority of active sites available on the surface of MWCNTs-Fe3O4-Pd/Fe. The nanohybrids maintained high activity in five consecutive in situ experiments, and they were retrievable using magnetic separation. MWCNTs-Fe3O4-Pd/Fe nanohybrids outperform unsupported Pd/Fe nanoparticles, which were difficult to retrieve, and were easily passivated and aggregated.
Xu, J, Wu, C, Xiang, H, Su, Y, Li, Z-X, Fang, Q, Hao, H, Liu, Z, Zhang, Y & Li, J 2016, 'Behaviour of ultra high performance fibre reinforced concrete columns subjected to blast loading', Engineering Structures, vol. 118, pp. 97-107.
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Ultra high performance fibre reinforced concrete (UHPFRC) is a cement-based composite material mixing with reactive powder and steel fibres. It is characterized by its high strength, high ductility and high toughness and such characteristics enable its great potential in protective engineering against extreme loads such as impact or explosion. In the present study, a series of field tests were conducted to investigate the behaviour of UHPFRC columns subjected to blast loading. In total four 0.2 m × 0.2 m × 2.5 m UHPFRC columns were tested under different designed explosions but all at a standoff distance of 1.5 m. Blast tests were also performed on four high strength reinforced concrete (HSRC) columns with the same size and reinforcement as UHPFRC columns to evaluate their behaviour under the same loading conditions. The data collected from each specimen included reflected overpressures, column deflections at centre and near the supports. Three major damage modes, including flexural, shear and concrete spalling failure modes, were observed. The post blast crack patterns, permanent deflections and different levels of damage observations showed that UHPFRC columns performed superior in blast loading resistance as compared with HSRC columns.
Xu, T & Castel, A 2016, 'Modeling the dynamic stiffness of cracked reinforced concrete beams under low-amplitude vibration loads', Journal of Sound and Vibration, vol. 368, pp. 135-147.
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In this paper, a model, initially developed to calculate the stiffness of cracked reinforced concrete beams under static loading, is used to assess the dynamic stiffness. The model allows calculating the average inertia of cracked beams by taking into account the effect of bending cracks (primary cracks) and steel-concrete bond damage (i.e. interfacial microcracks). Free and forced vibration experiments are used to assess the performance of the model. The respective influence of bending cracks and steel-concrete bond damage on both static and dynamic responses is analyzed. The comparison between experimental and simulated deflections confirms that the effects of both bending cracks and steel-concrete bond loss should be taken into account to assess reinforced concrete stiffness under service static loading. On the contrary, comparison of experimental and calculated dynamic responses reveals that localized steel-concrete bond damages do not influence significantly the dynamic stiffness and the fundamental frequency.
Xu, T, Castel, A, Gilbert, RI & Murray, A 2016, 'Modeling the tensile steel reinforcement strain in RC-beams subjected to cycles of loading and unloading', Engineering Structures, vol. 126, pp. 92-105.
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Xu, W, Duan, N, Wang, S, Guo, Y & Zhu, J 2016, 'A Stress-Dependent Magnetic Hysteresis Model for Soft Magnetic Composite Materials', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-5.
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Xu, W, Wang, G, Duan, N, Wang, S, Guo, Y & Zhu, J 2016, 'Extended Finite-Element Method for Weak Discontinuities in Electric Fields', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-5.
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Xu, X, Li, W, Xu, D & Tsang, IW 2016, 'Co-Labeling for Multi-View Weakly Labeled Learning', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, no. 6, pp. 1113-1125.
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© 2015 IEEE. It is often expensive and time consuming to collect labeled training samples in many real-world applications. To reduce human effort on annotating training samples, many machine learning techniques (e.g., semi-supervised learning (SSL), multi-instance learning (MIL), etc.) have been studied to exploit weakly labeled training samples. Meanwhile, when the training data is represented with multiple types of features, many multi-view learning methods have shown that classifiers trained on different views can help each other to better utilize the unlabeled training samples for the SSL task. In this paper, we study a new learning problem called multi-view weakly labeled learning, in which we aim to develop a unified approach to learn robust classifiers by effectively utilizing different types of weakly labeled multi-view data from a broad range of tasks including SSL, MIL and relative outlier detection (ROD). We propose an effective approach called co-labeling to solve the multi-view weakly labeled learning problem. Specifically, we model the learning problem on each view as a weakly labeled learning problem, which aims to learn an optimal classifier from a set of pseudo-label vectors generated by using the classifiers trained from other views. Unlike traditional co-training approaches using a single pseudo-label vector for training each classifier, our co-labeling approach explores different strategies to utilize the predictions from different views, biases and iterations for generating the pseudo-label vectors, making our approach more robust for real-world applications. Moreover, to further improve the weakly labeled learning on each view, we also exploit the inherent group structure in the pseudo-label vectors generated from different strategies, which leads to a new multi-layer multiple kernel learning problem. Promising results for text-based image retrieval on the NUS-WIDE dataset as well as news classification and text categorization on s...
Xu, Y, Yuan, Z & Ni, B-J 2016, 'Biotransformation of pharmaceuticals by ammonia oxidizing bacteria in wastewater treatment processes', Science of The Total Environment, vol. 566-567, pp. 796-805.
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Pharmaceutical residues could potentially pose detrimental effects on aquatic ecosystems and human health, with wastewater treatment being one of the major pathways for pharmaceuticals to enter into the environment. Enhanced removal of pharmaceuticals by ammonia oxidizing bacteria (AOB) has been widely observed in wastewater treatment processes. This article reviews the current knowledge on the biotransformation of pharmaceuticals by AOB. The relationship between the pharmaceuticals removal and nitrification process was revealed. The important role of AOB-induced cometabolism on the biotransformation of pharmaceuticals as well as their transformation products and pathways was elucidated. Kinetics and mathematical models describing the biotransformation of pharmaceuticals by AOB were also reviewed. The results highlighted the high degradation capabilities of AOB toward some refractory pharmaceuticals, with their degradations being clearly related to the nitrification rate and their transformation products being identified, which may exhibit similar or higher ecotoxicological impacts compared to the parent compound.
Xu, Z, Zhang, H, Hu, C, Mei, L, Xuan, J, Choo, KR, Sugumaran, V & Zhu, Y 2016, 'Building knowledge base of urban emergency events based on crowdsourcing of social media', Concurrency and Computation: Practice and Experience, vol. 28, no. 15, pp. 4038-4052.
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SummaryAn emergency event is an unexceptional event that exceeds the capacity of normal resources and organization to cope and a situation that poses an immediate risk to health, life, property, or environment. Crowdsourcing connects unobtrusive and ubiquitous sensing technologies, advanced data management and analytics models, and novel visualization methods, to create solutions that improve urban environment, human life quality, and city operation systems. The crowdsourcing on social media can be used to detect and analyze urban emergency events. In this paper, in order to detect and describe the real‐time urban emergency event, the knowledge base model is proposed. The crowdsourcing‐based knowledge base model is firstly introduced, which uses the information from social media. Secondly, the basic definition of the proposed knowledge base model including keywords, patterns, positive sentences, and knowledge graph is given. Thirdly, the temporal information is added to the proposed knowledge base model. The case study on real data sets shows that the proposed algorithm has good performance and high effectiveness in the analysis and detection of emergency events. Copyright © 2016 John Wiley & Sons, Ltd.
Xuan, J, Luo, X, Zhang, G, Lu, J & Xu, Z 2016, 'Uncertainty Analysis for the Keyword System of Web Events', IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, vol. 46, no. 6, pp. 829-842.
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© 2015 IEEE. Webpage recommendations for hot Web events can assist people to easily follow the evolution of these Web events. At the same time, there are different levels of semantic uncertainty underlying the amount of Webpages for a Web event, such as recapitulative information and detailed information. Apparently, the grasp of the semantic uncertainty of Web events could improve the satisfactoriness of Webpage recommendations. However, traditional hit-rate-based or clustering-based Webpage recommendation methods have overlooked these different levels of semantic uncertainty. In this paper, we propose a framework to identify the different underlying levels of semantic uncertainty in terms of Web events, and then utilize these for Webpage recommendations. Our idea is to consider a Web event as a system composed of different keywords, and the uncertainty of this keyword system is related to the uncertainty of the particular Web event. Based on keyword association linked network Web event representation and Shannon entropy, we identify the different levels of semantic uncertainty, and construct a semantic pyramid (SP) to express the uncertainty hierarchy of a Web event. Finally, an SP-based Webpage recommendation system is developed. Experiments show that the proposed algorithm can significantly capture the different levels of the semantic uncertainties of Web events and it can be applied to Webpage recommendations.
Yan, L, Zhao, B, Liu, X, Li, X, Zeng, C, Shi, H, Xu, X, Lin, T, Dai, L & Liu, Y 2016, 'Aligned Nanofibers from Polypyrrole/Graphene as Electrodes for Regeneration of Optic Nerve via Electrical Stimulation', ACS APPLIED MATERIALS & INTERFACES, vol. 8, no. 11, pp. 6834-6840.
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© 2016 American Chemical Society. The damage of optic nerve will cause permanent visual field loss and irreversible ocular diseases, such as glaucoma. The damage of optic nerve is mainly derived from the atrophy, apoptosis or death of retinal ganglion cells (RGCs). Though some progress has been achieved on electronic retinal implants that can electrically stimulate undamaged parts of RGCs or retina to transfer signals, stimulated self-repair/regeneration of RGCs has not been realized yet. The key challenge for development of electrically stimulated regeneration of RGCs is the selection of stimulation electrodes with a sufficient safe charge injection limit (Qinj, i.e., electrochemical capacitance). Most traditional electrodes tend to have low Qinj values. Herein, we synthesized polypyrrole functionalized graphene (PPy-G) via a facile but efficient polymerization-enhanced ball milling method for the first time. This technique could not only efficiently introduce electron-acceptor nitrogen to enhance capacitance, but also remain a conductive platform-the π-π conjugated carbon plane for charge transportation. PPy-G based aligned nanofibers were subsequently fabricated for guided growth and electrical stimulation (ES) of RGCs. Significantly enhanced viability, neurite outgrowth and antiaging ability of RGCs were observed after ES, suggesting possibilities for regeneration of optic nerve via ES on the suitable nanoelectrodes.
Yan, Y, Nie, F, Li, W, Gao, C, Yang, Y & Xu, D 2016, 'Image Classification by Cross-Media Active Learning With Privileged Information', IEEE Transactions on Multimedia, vol. 18, no. 12, pp. 2494-2502.
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© 2016 IEEE. In this paper, we propose a novel cross-media active learning algorithm to reduce the effort on labeling images for training. The Internet images are often associated with rich textual descriptions. Even though such textual information is not available in test images, it is still useful for learning robust classifiers. In light of this, we apply the recently proposed supervised learning paradigm, learning using privileged information, to the active learning task. Specifically, we train classifiers on both visual features and privileged information, and measure the uncertainty of unlabeled data by exploiting the learned classifiers and slacking function. Then, we propose to select unlabeled samples by jointly measuring the cross-media uncertainty and the visual diversity. Our method automatically learns the optimal tradeoff parameter between the two measurements, which in turn makes our algorithms particularly suitable for real-world applications. Extensive experiments demonstrate the effectiveness of our approach.
Yang, C, Carter, JP, Sheng, D & Sloan, SW 2016, 'An isotach elastoplastic constitutive model for natural soft clays', Computers and Geotechnics, vol. 77, pp. 134-155.
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The time and strain rate dependency observed in natural soft clays is formulated within the framework of conventional elastoplasticity. Creep of soft clays is essentially like the response of an overdamped oscillatory system, i.e., the strain rate decays in an exponential manner. A characteristic strain rate and time relationship is presented based on data from creep tests on a large number of different soft clays. The evolutionary change of strain rate is found to affect the mechanical response of soft clays in an isotach manner. Taking strain rate as another stress-like variable, a loading-isotach (LI) yield curve is proposed, which describes the combined hardening mechanisms of loading and variation of strain rate. Incorporation of this LI yield curve into critical state soil mechanics results in an isotach elastoplastic (IEP) model in triaxial stress-strain-strain rate space, which has been dubbed 'Hunter Clay'. The effects of fabric anisotropy and inter-particle cementation, which are typical features of natural soft clays, are also introduced to produce an advanced hierarchical constitutive model for soft clay. Qualitative predictions are first described and compared with the characteristic behaviour of natural soft clays. Experimental validations using test data for two soft clays are then carried out, and comparisons of the model predictions and experimental data demonstrate the capability of the model in reproducing realistic behaviour of natural soft clays. This work confirms that the complex mechanical behaviour of natural soft clays can be reproduced satisfactorily within the general framework of classical plasticity theory.
Yang, J, Wu, D, Li, A, Guo, H, Chen, H, Pi, S, Wei, W & Ma, F 2016, 'The Addition of N-Hexanoyl-Homoserine Lactone to Improve the Microbial Flocculant Production of Agrobacterium tumefaciens Strain F2, an Exopolysaccharide Bioflocculant-Producing Bacterium', Applied Biochemistry and Biotechnology, vol. 179, no. 5, pp. 728-739.
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Yang, Y, Ciampi, S, Zhu, Y & Gooding, JJ 2016, 'Light-Activated Electrochemistry for the Two-Dimensional Interrogation of Electroactive Regions on a Monolithic Surface with Dramatically Improved Spatial Resolution', The Journal of Physical Chemistry C, vol. 120, no. 24, pp. 13032-13038.
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The concept of light-activated electrochemistry (LAE) was recently presented where faradaic electrochemistry could be spatially resolved on a monolithic silicon electrode by illuminating the specific region with light. A major implication from the previous study using illumination from the nonsolution side, or backside, is that the spatial resolution is limited by the finite thickness of silicon wafer. To overcome this restriction, and enable the further application of LAE, in combination with optical imaging for example, herein the spatial resolution of LAE using topside illumination (illumination from the solution side) is explored. The applied potential and irradiated light intensity are found to have significant effects on the spatial resolution. A spatial resolution of ∼30 μm was achieved with optimal parameters, which is a 20 times improvement compared with the previously reported backside illumination design, demonstrating the potential application of the strategy including microarray patterning of silicon or for single cell analysis.
Yang, Y, Zhu, X, Ma, K, Simorangkir, RBVB, Karmakar, NC & Esselle, KP 2016, 'Development of Wireless Transducer for Real-Time Remote Patient Monitoring', IEEE Sensors Journal, vol. 16, no. 12, pp. 4669-4670.
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© 2001-2012 IEEE. A novel wireless transducer that uses analog-based technology at 2.4 GHz is presented in this letter. The transducer consists of an electrocardiography (ECG) detection circuit and a novel three-stage amplitude modulation transmitter that up-converts the ECG signal to a 2.4-GHz carrier frequency. To minimize the effects due to local oscillator leakage as well as the interference at the image frequency, the intermediate frequency is carefully selected, and a bandpass filter with a very sharp selectivity is designed. As demonstrated by the experimental results, the full-wave ECG signals can be successfully demodulated from the transmitted signal using the presented transducer. This enables the possibility of using analog-based technology for remote patient monitoring in real time.
Yao, M, Woo, YC, Tijing, LD, Shim, W-G, Choi, J-S, Kim, S-H & Shon, HK 2016, 'Effect of heat-press conditions on electrospun membranes for desalination by direct contact membrane distillation', DESALINATION, vol. 378, pp. 80-91.
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© 2015 Elsevier B.V. Membrane distillation (MD) is considered as a promising next-generation technology for desalination. However, there is no specific membrane designed and engineered for this application yet. Recently, electrospun polymeric membranes have been widely investigated due to their relatively high porosity, high hydrophobicity and controllable pore size. However, the robustness of such membranes is not guaranteed as they are susceptible to wetting in long-term operation. Heat-press treatment is a simple and effective procedure to improve both morphological and mechanical characteristics of the electrospun membrane. Nevertheless, the heat-press technique is not fully investigated although some conditions are applied to the electrospun membrane in previous researches. In this paper, a comprehensive investigation of the effect of heat-press temperature, pressure and duration on the morphological and mechanical characteristics of electrospun membrane is accomplished. Impressive improvement of mechanical strength and liquid entry pressure (LEP) can be achieved after heat-press treatment on the electrospun membranes. It is also found that temperature and duration play more important roles than pressure in heat-press treatment. In addition, it is ascertained that optimal treatment conditions for heat-press includes temperature at 150. °C, pressure at 6.5. kPa, and duration for 8. h for the present electrospun polyvinylidene fluoride-co-hexafluoropropylene membrane. A decent DCMD permeation flux of 29 LMH and salt rejection of 99.99% can be achieved with the optimally heat-pressed electrospun membranes for desalination at feed and permeate temperatures of 60 and 20. °C, respectively.
Yasin, MF, Cant, S & Arqam, M 2016, 'Validation of a benchmark methanol flame using Open FOAM', Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, vol. 28, no. 1, pp. 7-16.
Yazdani, D, Sepas-Moghaddam, A, Dehban, A & Horta, N 2016, 'A Novel Approach for Optimization in Dynamic Environments Based on Modified Artificial Fish Swarm Algorithm', International Journal of Computational Intelligence and Applications, vol. 15, no. 02, pp. 1650010-1650010.
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Swarm intelligence algorithms are amongst the most efficient approaches toward solving optimization problems. Up to now, most of swarm intelligence approaches have been proposed for optimization in static environments. However, numerous real-world problems are dynamic which could not be solved using static approaches. In this paper, a novel approach based on artificial fish swarm algorithm (AFSA) has been proposed for optimization in dynamic environments in which changes in the problem space occur in discrete intervals. The proposed algorithm can quickly find the peaks in the problem space and track them after an environment change. In this algorithm, artificial fish swarms are responsible for finding and tracking peaks and several behaviors and mechanisms are employed to cope with the dynamic environment. Extensive experiments show that the proposed algorithm significantly outperforms previous algorithms in most of tested dynamic environments modeled by moving peaks benchmark.
Ye, L, Liu, Z, Zhou, X, Shen, L & Zhang, J 2016, 'Saliency Detection Via Similar Image Retrieval', IEEE Signal Processing Letters, vol. 23, no. 6, pp. 838-842.
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Ye, Y, Ngo, HH, Guo, W, Liu, Y, Zhang, X, Guo, J, Ni, B-J, Chang, SW & Nguyen, DD 2016, 'Insight into biological phosphate recovery from sewage', Bioresource Technology, vol. 218, pp. 874-881.
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© 2016 Elsevier Ltd The world's increasing population means that more food production is required. A more sustainable supply of fertilizers mainly consisting of phosphate is needed. Due to the rising consumption of scarce resources and limited natural supply of phosphate, the recovery of phosphate and their re-use has potentially high market value. Sewage has high potential to recover a large amount of phosphate in a circular economy approach. This paper focuses on utilization of biological process integrated with various subsequent processes to concentrate and recycle phosphate which are derived from liquid and sludge phases. The phosphate accumulation and recovery are discussed in terms of mechanism and governing parameters, recovery efficiency, application at plant-scale and economy.
Yi, X, Paulet, R, Bertino, E & Xu, G 2016, 'Private Cell Retrieval From Data Warehouses', IEEE Transactions on Information Forensics and Security, vol. 11, no. 6, pp. 1346-1361.
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© 2015 IEEE. Publicly accessible data warehouses are an indispensable resource for data analysis. However, they also pose a significant risk to the privacy of the clients, since a data warehouse operator may follow the client's queries and infer what the client is interested in. Private information retrieval (PIR) techniques allow the client to retrieve a cell from a data warehouse without revealing to the operator which cell is retrieved and, therefore, protects the privacy of the client's queries. However, PIR cannot be used to hide online analytical processing (OLAP) operations performed by the client, which may disclose the client's interest. This paper presents a solution for private cell retrieval from a data warehouse on the basis of the Paillier cryptosystem. By our solution, the client can privately perform OLAP operations on the data warehouse and retrieve one (or more) cell without revealing any information about which cell is selected. In addition, we propose a solution for private block download on the basis of the Paillier cryptosystem. Our private block download allows the client to download an encrypted block from a data warehouse without revealing which block in a cloaking region is downloaded and improves the feasibility of our private cell retrieval. Our solutions ensure both the server's privacy and the client's privacy. Our experiments have shown that our solutions are practical.
Yin, X, Zhang, J, Hu, Z, Xie, H, Guo, W, Wang, Q, Ngo, HH, Liang, S, Lu, S & Wu, W 2016, 'Effect of photosynthetically elevated pH on performance of surface flow-constructed wetland planted with Phragmites australis', Environmental Science and Pollution Research, vol. 23, no. 15, pp. 15524-15531.
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Ying, X-Y, Ding, G, Hu, X-J & Zhang, Y-Q 2016, 'Developing planning indicators for outdoor wind environments of high-rise residential buildings', Journal of Zhejiang University-SCIENCE A, vol. 17, no. 5, pp. 378-388.
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© 2016, Zhejiang University and Springer-Verlag Berlin Heidelberg. The construction of a building may change the microclimate in the vicinity, and planning indicators in a master plan may directly affect the outdoor physical environmental quality in residential areas. An inappropriate plan for a site may accelerate wind and intensify vortexes over places on the pedestrian levels, which leads to an adverse outdoor environment. Therefore, the design of a cluster of buildings should not focus only on the buildings but also provide a good outdoor environment around the buildings. To tackle the problem of inadequate wind environment, the relationship between the building’s floor area ratio and height was identified in this study as the main planning indicator to be examined on its effects on the outdoor wind environment. A computational fluid dynamics (CFD) model was hence developed to simulate the wind conditions generated by some typical site layouts with different values for planning indicators under relevant weather conditions, which were typical of those in Hangzhou, China. The simulated wind conditions are assessed using the wind speed ratio over the whole area of the building cluster at the pedestrian level. The effects on the local wind condition due to the varying of the planning indicators are discussed whilst considering the potential construction costs. The indicators resulting in better external conditions are highlighted in the conclusion as the recommendation which could be used as a rule of thumb by architects and planners at the master planning stage. The study disproves the common belief in the practice that a lower floor area ratio means fewer buildings and therefore greater external comfort. In fact, the higher the building, the greater the outdoor comfort wind zone for pedestrians. However, the increment in comfort area is limited to buildings extending from 25 to 30 levels.
Yoo, C, Fitch, R & Sukkarieh, S 2016, 'Online task planning and control for fuel-constrained aerial robots in wind fields', INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, vol. 35, no. 5, pp. 438-453.
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Young, AIJ, Law, AMK, Castillo, L, Chong, S, Cullen, HD, Koehler, M, Herzog, S, Brummer, T, Lee, EF, Fairlie, WD, Lucas, MC, Herrmann, D, Allam, A, Timpson, P, Watkins, DN, Millar, EKA, O’Toole, SA, Gallego-Ortega, D, Ormandy, CJ & Oakes, SR 2016, 'MCL-1 inhibition provides a new way to suppress breast cancer metastasis and increase sensitivity to dasatinib', Breast Cancer Research, vol. 18, no. 1, p. 125.
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BACKGROUND: Metastatic disease is largely resistant to therapy and accounts for almost all cancer deaths. Myeloid cell leukemia-1 (MCL-1) is an important regulator of cell survival and chemo-resistance in a wide range of malignancies, and thus its inhibition may prove to be therapeutically useful. METHODS: To examine whether targeting MCL-1 may provide an effective treatment for breast cancer, we constructed inducible models of BIMs2A expression (a specific MCL-1 inhibitor) in MDA-MB-468 (MDA-MB-468-2A) and MDA-MB-231 (MDA-MB-231-2A) cells. RESULTS: MCL-1 inhibition caused apoptosis of basal-like MDA-MB-468-2A cells grown as monolayers, and sensitized them to the BCL-2/BCL-XL inhibitor ABT-263, demonstrating that MCL-1 regulated cell survival. In MDA-MB-231-2A cells, grown in an organotypic model, induction of BIMs2A produced an almost complete suppression of invasion. Apoptosis was induced in such a small proportion of these cells that it could not account for the large decrease in invasion, suggesting that MCL-1 was operating via a previously undetected mechanism. MCL-1 antagonism also suppressed local invasion and distant metastasis to the lung in mouse mammary intraductal xenografts. Kinomic profiling revealed that MCL-1 antagonism modulated Src family kinases and their targets, which suggested that MCL-1 might act as an upstream modulator of invasion via this pathway. Inhibition of MCL-1 in combination with dasatinib suppressed invasion in 3D models of invasion and inhibited the establishment of tumors in vivo. CONCLUSION: These data provide the first evidence that MCL-1 drives breast cancer cell invasion and suggests that MCL-1 antagonists could be used alone or in combination with drugs targeting Src kinases such as dasatinib to suppress metastasis.
Youssef, AM, Al-kathery, M, Pradhan, B & El-sahly, T 2016, 'Debris flow impact assessment along the Al-Raith Road, Kingdom of Saudi Arabia, using remote sensing data and field investigations', Geomatics, Natural Hazards and Risk, vol. 7, no. 2, pp. 620-638.
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Youssef, AM, Pradhan, B & Sefry, SA 2016, 'Flash flood susceptibility assessment in Jeddah city (Kingdom of Saudi Arabia) using bivariate and multivariate statistical models', Environmental Earth Sciences, vol. 75, no. 1, p. 12.
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The city of Jeddah (Saudi Arabia) has experienced two catastrophic flash flood events in 2009 and 2011. These flood events had catastrophic effect on human lives and livelihoods around the wadi Muraikh, wadi Qus, wadi Methweb, and wadi Ghulail in which 113 people were dead and with 10,000 houses and 17,000 vehicles were damaged. Thus, a comprehensive flood management is required. The flood management requires information on different aspects such as the hydrological, geotechnical, environmental, social, and economic aspects of flooding. Flood susceptibility mapping for any area helps the decision makers to understand the flood trends and can aid in appropriate planning and flood prevention. In this study, two models were used for the generation of flood susceptibility maps for the Jeddah region. The first model includes bivariate probability analysis (frequency ratio), and the second model uses the multivariate analysis. For the multivariate model, the acquired weights of the FR model were entered into the logistic regression model to evaluate the correlation between flood occurrence and each related factor. This integration will overcome some of the weakness of the logistic regression, and the performance the LR will be enhanced. A flood inventory map was prepared with a total of 127 flood locations. These flood locations were extracted from different sources including field investigation and high-resolution satellite image (IKONOS 1 m). These flood locations were randomly split into two groups, one dataset representing 70 % was used for training the models, and the remaining 30 % was used for models validation. Various independent flood-related factors such as slope, elevation, curvature, geology, landuse, soil drain, and distance from streams were included. The impact of each independent flood-related factors on flooding was evaluated by analyzing each independent factor with the historical flood inventory data. The training and validation datasets w...
Youssef, AM, Sefry, SA, Pradhan, B & Alfadail, EA 2016, 'Analysis on causes of flash flood in Jeddah city (Kingdom of Saudi Arabia) of 2009 and 2011 using multi-sensor remote sensing data and GIS', Geomatics, Natural Hazards and Risk, vol. 7, no. 3, pp. 1018-1042.
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The Jeddah city is located in a coastal plain area, in the middle of the western side of the Kingdom of Saudi Arabia, bounded by the Red Sea to the west and mountains to the east. Jeddah city receives rainfall runoff from the foothills through different drainage pathways (wadis). During intense rainfall events, runoff flows westward from the hills and mountains towards the Red Sea, causing flash floods in the urban areas along the pathways of these wadis. Two major flash flood events occurred in Jeddah city during 20 November 2009 - January 2011. These events were characterized by rainfall precipitation values of 70 and 111 mm, respectively. Each flash flood event has duration of three hours. The impact of these two flood events have been disastrous causing extensive flooding that killed 113 people in 2009 and damaged infrastructure and property (more than 10,000 homes and 17,000 vehicles). This study deals with the analysis of the different factors that caused these flash flood events. The results indicate that the causes of these floods are related to a number of factors which play as a major contribution to the worsening of the flood disaster. These factors were classified into the following: geomorphological features, anthropogenic activities (urban changes), network and catchment factors, and rainfall and climatic changes factors. The climatic changes have a major impact on the rainfall intensity and will appear more in the future. Other factors related to the wadis tributaries are narrow passes, and high slope of the wadi has additional impacts in the flash floods in the area. The anthropogenic activities include the proliferation of slums and construction in the valleys coupled with the lack of suitable water streams to accommodate the amount of water flowing and the presence of dirt led to the direction of flow.
Yu, D, Li, D-F & Merigó, JM 2016, 'Dual hesitant fuzzy group decision making method and its application to supplier selection', International Journal of Machine Learning and Cybernetics, vol. 7, no. 5, pp. 819-831.
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The concept of dual hesitant fuzzy set arising from hesitant fuzzy set is generalized by including a function reflecting the decision maker’s fuzziness about the non-membership degree of the information provided. This paper studies some dual hesitant fuzzy information aggregation operators for aggregating dual hesitant fuzzy elements, such as dual hesitant fuzzy Heronian mean operator and dual hesitant fuzzy geometric Heronian mean operator. The research resulting dual hesitant fuzzy information aggregation operators finds an important role in group decision making (GDM) applications. It can fusion the experts’ opinion to the comprehensive ones and based on which an optimal decision making scheme can be determined. The properties of the proposed operators are studied and the application on GDM are investigated. The effectiveness of the GDM method is demonstrated on the case study about supplier selection.
Yu, D, Li, D-F, Merigó, JM & Fang, L 2016, 'Mapping development of linguistic decision making studies', Journal of Intelligent & Fuzzy Systems, vol. 30, no. 5, pp. 2727-2736.
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Yu, D, Merigó, JM & Xu, Y 2016, 'Group Decision Making in Information Systems Security Assessment Using Dual Hesitant Fuzzy Set', International Journal of Intelligent Systems, vol. 31, no. 8, pp. 786-812.
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Network information system security has become a global issue since it is related to the economic development and national security. Information system security assessment plays an important role in the development of security solutions. Aiming at this issue, a dual hesitant fuzzy (DHF) group decision-making (GDM) method was proposed in this paper to assist the assessment of network information system security. A systemic index containing four aspects was established including organization security, management security, technical security, and personnel management security. The DHF group evaluation matrix was constructed based on the individual evaluation information from each expert. Some power average operator-based DHF information aggregation operators are proposed and used to fusion the performance of each criterion for information systems. The advantage of these operators is that they can describe the relationship between the indexes quantitatively. Finally, a case study about information systems security assessment was presented to verify the effectiveness of proposed GDM methods.
Yu, S 2016, 'Big Privacy: Challenges and Opportunities of Privacy Study in the Age of Big Data', IEEE Access, vol. 4, pp. 2751-2763.
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One of the biggest concerns of big data is privacy. However, the study on big data privacy is still at a very early stage. We believe the forthcoming solutions and theories of big data privacy root from the in place research output of the privacy discipline. Motivated by these factors, we extensively survey the existing research outputs and achievements of the privacy field in both application and theoretical angles, aiming to pave a solid starting ground for interested readers to address the challenges in the big data case. We first present an overview of the battle ground by defining the roles and operations of privacy systems. Second, we review the milestones of the current two major research categories of privacy: data clustering and privacy frameworks. Third, we discuss the effort of privacy study from the perspectives of different disciplines, respectively. Fourth, the mathematical description, measurement, and modeling on privacy are presented. We summarize the challenges and opportunities of this promising topic at the end of this paper, hoping to shed light on the exciting and almost uncharted land.
Yu, S & Liu, K 2016, 'Special Issue on Big Data from networking perspective', Big Data Research, vol. 3, pp. 1-1.
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Yu, S, Wang, C, Liu, K & Zomaya, AY 2016, 'Editorial for IEEE Access Special Section on Theoretical Foundations for Big Data Applications: Challenges and Opportunities', IEEE Access, vol. 4, pp. 5730-5732.
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Yu, S, Zhou, W, Guo, S & Guo, M 2016, 'A Feasible IP Traceback Framework through Dynamic Deterministic Packet Marking', IEEE Transactions on Computers, vol. 65, no. 5, pp. 1418-1427.
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DDoS attack source traceback is an open and challenging problem. Deterministic packet marking (DPM) is a simple and effective traceback mechanism, but the current DPM based traceback schemes are not practical due to their scalability constraint. We noticed a factor that only a limited number of computers and routers are involved in an attack session. Therefore, we only need to mark these involved nodes for traceback purpose, rather than marking every node of the Internet as the existing schemes doing. Based on this finding, we propose a novel marking on demand (MOD) traceback scheme based on the DPM mechanism. In order to traceback to involved attack source, what we need to do is to mark these involved ingress routers using the traditional DPM strategy. Similar to existing schemes, we require participated routers to install a traffic monitor. When a monitor notices a surge of suspicious network flows, it will request a unique mark from a globally shared MOD server, and mark the suspicious flows with the unique marks. At the same time, the MOD server records the information of the marks and their related requesting IP addresses. Once a DDoS attack is confirmed, the victim can obtain the attack sources by requesting the MOD server with the marks extracted from attack packets. Moreover, we use the marking space in a round-robin style, which essentially addresses the scalability problem of the existing DPM based traceback schemes. We establish a mathematical model for the proposed traceback scheme, and thoroughly analyze the system. Theoretical analysis and extensive real-world data experiments demonstrate that the proposed traceback method is feasible and effective.
Yu, S-I, Yang, Y, Xu, Z, Xu, S, Meng, D, Mao, Z, Ma, Z, Lin, M, Li, X, Li, H, Lan, Z, Jiang, L, Hauptmann, AG, Gan, C, Du, X & Chang, X 2016, '[Invited Paper] Strategies for Searching Video Content with Text Queries or Video Examples', ITE Transactions on Media Technology and Applications, vol. 4, no. 3, pp. 227-238.
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© 2016 by ITE Transactions on Media Technology and Applications (MTA). The large number of user-generated videos uploaded on to the Internet everyday has led to many commercial video search engines, which mainly rely on text metadata for search. However, metadata is often lacking for user-generated videos, thus these videos are unsearchable by current search engines. Therefore, content-based video retrieval (CBVR) tackles this metadata-scarcity problem by directly analyzing the visual and audio streams of each video. CBVR encompasses multiple research topics, including low-level feature design, feature fusion, semantic detector training and video search/reranking. We present novel strategies in these topics to enhance CBVR in both accuracy and speed under different query inputs, including pure textual queries and query by video examples. Our proposed strategies have been incorporated into our submission for the TRECVID 2014 Multimedia Event Detection evaluation, where our system outperformed other submissions in both text queries and video example queries, thus demonstrating the effectiveness of our proposed approaches.
Yu, X, Jiang, Z, Zhao, J, Wei, D, Zhou, J, Zhou, C & Huang, Q 2016, 'The role of oxide-scale microtexture on tribological behaviour in the nanoparticle lubrication of hot rolling', Tribology International, vol. 93, pp. 190-201.
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Yu, XL, Jiang, ZY, Zhao, JW, Wei, DB & Zhou, J 2016, 'A Review of Microstructure and Microtexture of Tertiary Oxide Scale in a Hot Strip Mill', Key Engineering Materials, vol. 716, pp. 843-855.
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In hot rolling, metal oxides formed on steel surface can generally be classified as primary, secondary and tertiary oxide scales, corresponding to the reheating stages, the roughing stages and the finishing passes of continuous mills, respectively. The tertiary oxide scale grows into the final products on the hot-rolled steel strip during the finishing rolling and the subsequent cooling down to ambient temperature. We provide here a systematic overview of the oxidation mechanism, microstructure and microtexture development of the tertiary oxide scale. Mechanism of oxidation and Fe3O4 precipitation in tertiary oxide has been given as the fundamental theory. Three main sections has been divided in this review. The first section includes experimental investigations on microstructure evolution from the formation of oxide scale during hot rolling, then through continuous cooling, to Fe3O4 precipitation behaviour in storage cooling of hot-coiled strip. By using electron backscatter diffraction (EBSD) to characterise both the steel substrate and the oxide scale concurrently, the second section has further dealed with the texture-based analysis of oxide scale: phase identification, orientation analysis and coincident site lattice (CSL) boundaries. The third section has provided the general type of crystallographic texture and its evolutions in deformed Fe3O4 and steel substrate. Finally, the upcoming challenges have been addressed in this intriguing and promising research field.
Yu, Y, Dackermann, U, Li, J & Subhani, M 2016, 'Condition Assessment of Timber Utility Poles Based on a Hierarchical Data Fusion Model', JOURNAL OF COMPUTING IN CIVIL ENGINEERING, vol. 30, no. 5, pp. 04016010-1-04016010-13.
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© 2016 American Society of Civil Engineers. This paper proposes a novel hierarchical data fusion technique for the non-destructive testing (NDT) and condition assessment of timber utility poles. The new method analyzes stress wave data from multisensor and multiexcitation guided wave testing using a hierarchical data fusion model consisting of feature extraction, data compression, pattern recognition, and decision fusion algorithms. The researchers validate the proposed technique using guided wave tests of a sample of in situ timber poles. The actual health states of these poles are known from autopsies conducted after the testing, forming a ground-truth for supervised classification. In the proposed method, a data fusion level extracts the main features from the sampled stress wave signals using power spectrum density (PSD) estimation, wavelet packet transform (WPT), and empirical mode decomposition (EMD). These features are then compiled to a feature vector via real-number encoding and sent to the next level for further processing. Principal component analysis (PCA) is also adopted for feature compression and to minimize information redundancy and noise interference. In the feature fusion level, two classifiers based on support vector machine (SVM) are applied to sensor separated data of the two excitation types and the pole condition is identified. In the decision making fusion level, the Dempster-Shafer (D-S) evidence theory is employed to integrate the results from the individual sensors obtaining a final decision. The results of the in situ timber pole testing show that the proposed hierarchical data fusion model was able to distinguish between healthy and faulty poles, demonstrating the effectiveness of the new method.
Yu, Y, Li, J, Yan, N, Dackermann, U & Samali, B 2016, 'Load capacity prediction of in-service timber utility poles considering wind load', Journal of Civil Structural Health Monitoring, vol. 6, no. 3, pp. 385-394.
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© 2016, Springer-Verlag Berlin Heidelberg. This paper presents a numerical investigation on the influence of different types of damage to the load capacity of in-service timber utility poles. Current design codes do not highlight a pole’s strength performance due to different types of damage. However, damages typically found in ageing timber poles, such as damage due to fungus or termite attack, have very different characteristics and result in various effects on the strength properties of timber poles. Hence, the presented study investigates the influence of typical common types of damage to the strength properties and load capacities of timber utility poles. The study considers the damage type, location and severity. Wind load is considered as critical load due to the practical issue. The research shows that external damages at ground level significantly affect the load capacity of a timber pole. While internal damage, such as termite nests, has less influence on the load capacity regardless of the damage location and severity.
Yu, Y, Li, Y, Li, J & Gu, X 2016, 'A hysteresis model for dynamic behaviour of magnetorheological elastomer base isolator', Smart Materials and Structures, vol. 25, no. 5, pp. 055029-055029.
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© 2016 IOP Publishing Ltd. In recent years, an adaptively tuned magnetorheological elastomer (MRE) isolator for a base isolation system has been designed and tested with the benefits of low power cost, fail safe manner and fast responses. To make full use of this striking device for design of smart structures, a highly precise model should be developed to effectively and accurately forecast the shear force of the device in real-time so as to adopt a proper control strategy to improve the responses of the protected structures. In this work, a novel mechanical model is presented to characterize this nonlinear hysteresis for its implementation in structural vibration control. This model employs the displacement and velocity of the device as well as the applied current as the inputs and just has the limited constant parameters to be identified compared with some classical hysteretic models such as Bouc-Wen, improved Dahl and LuGre models. Performance evaluation of this novel hysteresis model has been conducted based on the testing data from an MRE base isolator. The results show that the proposed model has high modelling accuracy and is able to perfectly portray the unique and complicated behaviours of the device with various excitations.
Yu, Y, Li, Y, Li, J & Gu, X 2016, 'Self-adaptive step fruit fly algorithm optimized support vector regression model for dynamic response prediction of magnetorheological elastomer base isolator', NEUROCOMPUTING, vol. 211, pp. 41-52.
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© 2016 Elsevier B.V. Parameter optimization of support vector regression (SVR) plays a challenging role in improving the generalization ability of machine learning. Fruit fly optimization algorithm (FFOA) is a recently developed swarm optimization algorithm for complicated multi-objective optimization problems and is also suitable for optimizing SVR parameters. In this work, parameter optimization in SVR using FFOA is investigated. In view of problems of premature and local optimum in FFOA, an improved FFOA algorithm based on self-adaptive step update strategy (SSFFOA) is presented to obtain the optimal SVR model. Moreover, the proposed method is utilized to characterize magnetorheological elastomer (MRE) base isolator, a typical hysteresis device. In this application, the obtained displacement, velocity and current level are used as SVR inputs while the output is the shear force response of the device. Experimental testing of the isolator with two types of excitations is applied for model performance evaluation. The results demonstrate that the proposed SSFFOA-optimized SVR (SSFFOA_SVR) has perfect generalization ability and more accurate prediction accuracy than other machine learning models, and it is a suitable and effective method to predict the dynamic behaviour of MRE isolator.
Yu, Y, Li, YC, Li, JC, Gu, XY, Royel, S & Pokhrel, A 2016, 'Nonlinear and Hysteretic Modelling of Magnetorheological Elastomer Base Isolator Using Adaptive Neuro-Fuzzy Inference System', Applied Mechanics and Materials, vol. 846, pp. 258-263.
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Magnetorheological elastomer (MRE) base isolator is a semi-active control device which has currently obtained increasing attention in the field of vibration control of civil structures. However, the inherent nonlinear and hysteretic response of the device is regarded as a challenge aspect for using the smart device to realize the high performance. Therefore, an accurate and robust model is essential to make full use of these unique features for its engineering applications. In this paper, to solve this issue, adaptive neuro-fuzzy inference system (ANFIS) is utilized to characterize the dynamic behavior of the device. In this proposed model, the inputs are historical displacements and applied current of the device while the output is the shear force generated. To validate its forecast performance, the ANFIS model is also compared with some conventional models. Finally, the result verifies that ANFIS has the best perfection ability among existing MRE-based device models.
Yu, Y, Royel, S, Li, J, Li, Y & Ha, Q 2016, 'Magnetorheological elastomer base isolator for earthquake response mitigation on building structures: modeling and second-order sliding mode control', Earthquakes and Structures, vol. 11, no. 6, pp. 943-966.
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© 2016 Techno-Press, Ltd. Recently, magnetorheological elastomer (MRE) material and its devices have been developed and attracted a good deal of attention for their potentials in vibration control. Among them, a highly adaptive base isolator based on MRE was designed, fabricated and tested for real-time adaptive control of base isolated structures against a suite of earthquakes. To perfectly take advantage of this new device, an accurate and robust model should be built to characterize its nonlinearity and hysteresis for its application in structural control. This paper first proposes a novel hysteresis model, in which a nonlinear hyperbolic sine function spring is used to portray the strain stiffening phenomenon and a Voigt component is incorporated in parallel to describe the solid-material behaviours. Then the fruit fly optimization algorithm (FFOA) is employed for model parameter identification using testing data of shear force, displacement and velocity obtained from different loading conditions. The relationships between model parameters and applied current are also explored to obtain a current-dependent generalized model for the control application. Based on the proposed model of MRE base isolator, a second-order sliding mode controller is designed and applied to the device to provide a real-time feedback control of smart structures. The performance of the proposed technique is evaluated in simulation through utilizing a three-storey benchmark building model under four benchmark earthquake excitations. The results verify the effectiveness of the proposed current-dependent model and corresponding controller for semi-active control of MRE base isolator incorporated smart structures.
Yu, Y-H, Chen, S-H, Chang, C-L, Lin, C-T, Hairston, W & Mrozek, R 2016, 'New Flexible Silicone-Based EEG Dry Sensor Material Compositions Exhibiting Improvements in Lifespan, Conductivity, and Reliability', Sensors, vol. 16, no. 11, pp. 1826-1826.
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© 2016 by the authors; licensee MDPI, Basel, Switzerland. This study investigates alternative material compositions for flexible silicone-based dry electroencephalography (EEG) electrodes to improve the performance lifespan while maintaining high-fidelity transmission of EEG signals. Electrode materials were fabricated with varying concentrations of silver-coated silica and silver flakes to evaluate their electrical, mechanical, and EEG transmission performance. Scanning electron microscope (SEM) analysis of the initial electrode development identified some weak points in the sensors’ construction, including particle pull-out and ablation of the silver coating on the silica filler. The newly-developed sensor materials achieved significant improvement in EEG measurements while maintaining the advantages of previous silicone-based electrodes, including flexibility and non-toxicity. The experimental results indicated that the proposed electrodes maintained suitable performance even after exposure to temperature fluctuations, 85% relative humidity, and enhanced corrosion conditions demonstrating improvements in the environmental stability. Fabricated flat (forehead) and acicular (hairy sites) electrodes composed of the optimum identified formulation exhibited low impedance and reliable EEG measurement; some initial human experiments demonstrate the feasibility of using these silicone-based electrodes for typical lab data collection applications.
Yu, Y-H, Lu, S-W, Chuang, C-H, King, J-T, Chang, C-L, Chen, S-A, Chen, S-F & Lin, C-T 2016, 'An Inflatable and Wearable Wireless System for Making 32-Channel Electroencephalogram Measurements', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 24, no. 7, pp. 806-813.
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© 2001-2011 IEEE. Potable electroencephalography (EEG) devices have become critical for important research. They have various applications, such as in brain-computer interfaces (BCI). Numerous recent investigations have focused on the development of dry sensors, but few concern the simultaneous attachment of high-density dry sensors to different regions of the scalp to receive qualified EEG signals from hairy sites. An inflatable and wearable wireless 32-channel EEG device was designed, prototyped, and experimentally validated for making EEG signal measurements; it incorporates spring-loaded dry sensors and a novel gasbag design to solve the problem of interference by hair. The cap is ventilated and incorporates a circuit board and battery with a high-tolerance wireless (Bluetooth) protocol and low power consumption characteristics. The proposed system provides a 500/250 Hz sampling rate, and 24 bit EEG data to meet the BCI system data requirement. Experimental results prove that the proposed EEG system is effective in measuring audio event-related potential, measuring visual event-related potential, and rapid serial visual presentation. Results of this work demonstrate that the proposed EEG cap system performs well in making EEG measurements and is feasible for practical applications.
Yuan, L, Qin, L, Lin, X, Chang, L & Zhang, W 2016, 'Diversified top-k clique search.', VLDB J., vol. 25, no. 2, pp. 171-196.
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© 2015, Springer-Verlag Berlin Heidelberg. Maximal clique enumeration is a fundamental problem in graph theory and has been extensively studied. However, maximal clique enumeration is time-consuming in large graphs and always returns enormous cliques with large overlaps. Motivated by this, in this paper, we study the diversified top-k clique search problem which is to find top-k cliques that can cover most number of nodes in the graph. Diversified top-k clique search can be widely used in a lot of applications including community search, motif discovery, and anomaly detection in large graphs. A naive solution for diversified top-k clique search is to keep all maximal cliques in memory and then find k of them that cover most nodes in the graph by using the approximate greedy max k-cover algorithm. However, such a solution is impractical when the graph is large. In this paper, instead of keeping all maximal cliques in memory, we devise an algorithm to maintain k candidates in the process of maximal clique enumeration. Our algorithm has limited memory footprint and can achieve a guaranteed approximation ratio. We also introduce a novel light-weight (Formula presented.) - (Formula presented.) , based on which we design an optimal maximal clique maintenance algorithm. We further explore three optimization strategies to avoid enumerating all maximal cliques and thus largely reduce the computational cost. Besides, for the massive input graph, we develop an I/O efficient algorithm to tackle the problem when the input graph cannot fit in main memory. We conduct extensive performance studies on real graphs and synthetic graphs. One of the real graphs contains 1.02 billion edges. The results demonstrate the high efficiency and effectiveness of our approach.
Yuwono, M, Qin, Y, Zhou, J, Guo, Y, Celler, BG & Su, SW 2016, 'Automatic bearing fault diagnosis using particle swarm clustering and Hidden Markov Model', Engineering Applications of Artificial Intelligence, vol. 47, pp. 88-100.
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© 2015 Elsevier Ltd. Ball bearings are integral elements in most rotating manufacturing machineries. While detecting defective bearing is relatively straightforward, discovering the source of defect requires advanced signal processing techniques. This paper proposes an automatic bearing defect diagnosis method based on Swarm Rapid Centroid Estimation (SRCE) and Hidden Markov Model (HMM). Using the defect frequency signatures extracted with Wavelet Kurtogram and Cepstral Liftering, SRCE+HMM achieved on average the sensitivity, specificity, and error rate of 98.02%, 96.03%, and 2.65%, respectively, on the bearing fault vibration data provided by Case School of Engineering of the Case Western Reserve University (CSE) which warrants further investigation.
Zahid, R, Masjuki, HH, Varman, M, Abul Kalam, M, Mufti, RA, Zulkifli, NWBM, Gulzar, M & Azman, SSBN 2016, 'Influence of intrinsic and extrinsic conditions on the tribological characteristics of diamond-like carbon coatings: A review (vol 31, pg 1814, 2016)', JOURNAL OF MATERIALS RESEARCH, vol. 31, no. 13, pp. 1983-1983.
Zahid, R, Masjuki, HH, Varman, M, Kalam, MA, Mufti, RA, Mohd Zulkifli, NWB, Gulzar, M & Nor Azman, SSB 2016, 'Influence of intrinsic and extrinsic conditions on the tribological characteristics of diamond-like carbon coatings: A review', Journal of Materials Research, vol. 31, no. 13, pp. 1814-1836.
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Abstract
Zarepour, E, Hassan, M, Chou, CT & Ebrahimi Warkiani, M 2016, 'Characterizing terahertz channels for monitoring human lungs with wireless nanosensor networks', Nano Communication Networks, vol. 9, pp. 43-57.
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We characterize terahertz wireless channels for extracting data from nanoscale sensors deployed within human lungs. We discover that the inhalation and exhalation of oxygen and carbon dioxide causes periodic variation of the absorption coefficient of the terahertz channel. Channel absorption drops to its minimum near the end of inhalation, providing a window of opportunity to extract data with minimum transmission power. We propose an algorithm for nanosensors to estimate the periodic channel by observing signal-to-noise ratio of the beacons transmitted from the data sink. Using real respiration data from multiple subjects, we demonstrate that the proposed algorithm can estimate the minimum absorption interval of the periodic channel with 98.5% accuracy. Our analysis shows that by confining all data collections during the estimated low-absorption window of the periodic channel, nanosensors can reduce power consumption by six orders of magnitude. Finally, we demonstrate that for wireless communications within human lungs, 0.1–0.12 THz is the least absorbing spectrum within the terahertz band.
Zarotti, F, Gupta, B, Iacopi, F, Sgarlata, A, Tomellini, M & Motta, N 2016, 'Time evolution of graphene growth on SiC as a function of annealing temperature', Carbon, vol. 98, pp. 307-312.
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Zeb, BA, Afzal, MU & Esselle, KP 2016, 'Performance analysis of classical and phase‐corrected electromagnetic band gap resonator antennas with all‐dielectric superstructures', IET Microwaves, Antennas & Propagation, vol. 10, no. 12, pp. 1276-1284.
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Zeng, D, Gu, L, Guo, S, Cheng, Z & Yu, S 2016, 'Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System', IEEE Transactions on Computers, vol. 65, no. 12, pp. 3702-3712.
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Traditional standalone embedded system is limited in their functionality, flexibility, and scalability. Fog computing platform, characterized by pushing the cloud services to the network edge, is a promising solution to support and strengthen traditional embedded system. Resource management is always a critical issue to the system performance. In this paper, we consider a fog computing supported software-defined embedded system, where task images lay in the storage server while computations can be conducted on either embedded device or a computation server. It is significant to design an efficient task scheduling and resource management strategy with minimized task completion time for promoting the user experience. To this end, three issues are investigated in this paper: 1) how to balance the workload on a client device and computation servers, i.e., task scheduling, 2) how to place task images on storage servers, i.e., resource management, and 3) how to balance the I/O interrupt requests among the storage servers. They are jointly considered and formulated as a mixed-integer nonlinear programming problem. To deal with its high computation complexity, a computation-efficient solution is proposed based on our formulation and validated by extensive simulation based studies.
Zhai, Y, Ong, Y-S & Tsang, IW 2016, 'Making Trillion Correlations Feasible in Feature Grouping and Selection', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, no. 12, pp. 2472-2486.
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© 2016 IEEE. Today, modern databases with 'Big Dimensionality' are experiencing a growing trend. Existing approaches that require the calculations of pairwise feature correlations in their algorithmic designs have scored miserably on such databases, since computing the full correlation matrix (i.e., square of dimensionality in size) is computationally very intensive (i.e., million features would translate to trillion correlations). This poses a notable challenge that has received much lesser attention in the field of machine learning and data mining research. Thus, this paper presents a study to fill in this gap. Our findings on several established databases with big dimensionality across a wide spectrum of domains have indicated that an extremely small portion of the feature pairs contributes significantly to the underlying interactions and there exists feature groups that are highly correlated. Inspired by the intriguing observations, we introduce a novel learning approach that exploits the presence of sparse correlations for the efficient identifications of informative and correlated feature groups from big dimensional data that translates to a reduction in complexity from O(m2) to O(mlogm + Kamn), where Kamin(m,n) generally holds. In particular, our proposed approach considers an explicit incorporation of linear and nonlinear correlation measures as constraints in the learning model. An efficient embedded feature selection strategy, designed to filter out the large number of non-contributing correlations that could otherwise confuse the classifier while identifying the correlated and informative feature groups, forms one of the highlights of our approach. We also demonstrated the proposed method on one-class learning, where notable speedup can be observed when solving one-class problem on big dimensional data. Further, to identify robust informative features with minimal sampling bias, our feature selection strategy embeds the V-fold cross validatio...
Zhand, S, Rostamian, G, Tabarraei, A & Moradi, A 2016, 'Study of Hepatitis B Virus Genotypes and Mutation in 1762 & 1764 Nucleotides of X Gene in Chronic HBV Patients from Golestan Province—Iran', Health, vol. 08, no. 13, pp. 1397-1401.
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Zhang, A, Chen, J, Zhou, L & Yu, S 2016, 'Graph Theory-Based QoE-Driven Cooperation Stimulation for Content Dissemination in Device-to-Device Communication', IEEE Transactions on Emerging Topics in Computing, vol. 4, no. 4, pp. 556-567.
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With multimedia dominating the digital contents, device-To-device communication has been proposed as a promising data offloading solution in the big data area. As the quality of experience (QoE) is a major determining factor in the success of new multimedia applications, we propose a QoE-driven cooperative content dissemination (QeCS) scheme in this paper. In particular, all users predict the QoE of the potential connections characterized by the mean opinion score (MOS), and send the results to the content provider (CP). Then, the CP formulates a weighted directed graph according to the network topology and MOS of each potential connection. In order to stimulate cooperation among the users, the content dissemination mechanism is designed through seeking one-factor of the weighted directed graph with the maximum weight thus achieving maximum total user MOS. In addition, a debt mechanism is adopted to combat the cheat attacks. Furthermore, we extend the proposed QeCS scheme by considering a constrained condition to the optimization problem for fairness improvement. Extensive simulation results demonstrate that the proposed QeCS scheme achieves both efficiency and fairness especially in large scale and density networks.
Zhang, F, Wu, C, Zhao, X-L, Xiang, H, Li, Z-X, Fang, Q, Liu, Z, Zhang, Y, Heidarpour, A & Packer, JA 2016, 'Experimental study of CFDST columns infilled with UHPC under close-range blast loading', International Journal of Impact Engineering, vol. 93, pp. 184-195.
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© 2016 Elsevier Ltd. All rights reserved. Concrete-filled double-skin tubes (CFDST) have been increasingly popular in the field of engineering in recent years. A lot of research has been carried out to investigate the behaviour of CFDST members under a variety of loading conditions. This paper presents an experimental investigation on ultra-high performance concrete infilled double-skin tube columns subjected to close-in blast loading. Two types of CFDST columns were investigated in the experiments - one with both inner and outer tubes circular and the other one with both square. The main test parameters included the explosive charge weight and the magnitude of axial load. After the blast tests, there was no visible buckling nor ruptures found on the steel tubes and only minor cracks, of no more than 1mm width, were observed in the core concrete when the outer steel tube was removed. Based on the findings of the experiments, it is evident that CFDST column has excellent blast resistance. This feature has the potential to be used in high-value structures which may be the targets of terrorist attacks, such as embassies, government buildings and critical infrastructures.
Zhang, F, Zhang, Y, Qin, L, Zhang, W & Lin, X 2016, 'When Engagement Meets Similarity: Efficient (k,r)-Core Computation on Social Networks', Proceedings of the VLDB Endowment, vol. 10, no. 10, pp. 998-1009.
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In this paper, we investigate the problem of (k,r)-core which intends to findcohesive subgraphs on social networks considering both user engagement andsimilarity perspectives. In particular, we adopt the popular concept of k-coreto guarantee the engagement of the users (vertices) in a group (subgraph) whereeach vertex in a (k,r)-core connects to at least k other vertices. Meanwhile,we also consider the pairwise similarity between users based on their profiles.For a given similarity metric and a similarity threshold r, the similaritybetween any two vertices in a (k,r)-core is ensured not less than r. Efficientalgorithms are proposed to enumerate all maximal (k,r)-cores and find themaximum (k,r)-core, where both problems are shown to be NP-hard. Effectivepruning techniques significantly reduce the search space of two algorithms anda novel (k,k')-core based (k,r)-core size upper bound enhances performance ofthe maximum (k,r)-core computation. We also devise effective search orders toaccommodate the different nature of two mining algorithms. Comprehensiveexperiments on real-life data demonstrate that the maximal/maximum (k,r)-coresenable us to find interesting cohesive subgraphs, and performance of two miningalgorithms is significantly improved by proposed techniques.
Zhang, G, Han, J & Lu, J 2016, 'Fuzzy Bi-level Decision-Making Techniques: A Survey', INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS, vol. 9, pp. 25-34.
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© 2016 the authors. Bi-level decision-making techniques aim to deal with decentralized management problems that feature interactive decision entities distributed throughout a bi-level hierarchy. A challenge in handling bi-level decision problems is that various uncertainties naturally appear in decision-making process. Significant efforts have been devoted that fuzzy set techniques can be used to effectively deal with uncertain issues in bi-level decision-making, known as fuzzy bi-level decision-making techniques, and researchers have successfully gained experience in this area. It is thus vital that an instructive review of current trends in this area should be conducted, not only of the theoretical research but also the practical developments. This paper systematically reviews up-to-date fuzzy bi-level decisionmaking techniques, including models, approaches, algorithms and systems. It also clusters related technique developments into four main categories: basic fuzzy bi-level decision-making, fuzzy bi-level decision-making with multiple optima, fuzzy random bi-level decision-making, and the applications of bi-level decision-making techniques in different domains. By providing state-of-the-art knowledge, this survey paper will directly support researchers and practitioners in their understanding of developments in theoretical research results and applications in relation to fuzzy bi-level decision-making techniques.
Zhang, H, Quan, W, Song, J, Jiang, Z & Yu, S 2016, 'Link State Prediction-Based Reliable Transmission for High-Speed Railway Networks', IEEE Transactions on Vehicular Technology, vol. 65, no. 12, pp. 9617-9629.
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Due to unpredictable noise and ambient interference along high-speed railways (HSRs), it is challenging to provide reliable Internet services in severe HSR network environments. Most existing research that requires expensive modifications for large-scale already in-used base stations cannot be immediately deployed into the existing HSR systems. In this paper, we propose a quite lightweight but effective solution to improve the Internet experience for HSR passengers. Different from other existing approaches, we employ a data-driven link state prediction (LSP) mechanism for HSR reliable transmission, called LSP4HSR, which directly operates in HSR's on-board routers. In particular, we conduct an extensive measurement of network status on several realistic HSR lines and collect a first-hand dataset in terms of round-trip time and packet loss rate. By analyzing this real dataset, we find that HSR link quality presents obvious two-time-scale variation characteristics. We execute a lot of in-depth studies to explore potential reasons for this interesting phenomenon. Furthermore, based on the two-time-scale Markov chain, we establish an accurate HSR link prediction approach, which brings an LSP-based transmission enhancement mechanism to alleviate the impact from poor link status along HSR lines. Extensive experiments verify that the proposed solution can not only improve the packet transmission reliability in HSR networks but can be also deployed in existing HSR systems quite smoothly and easily.
Zhang, J, Jia, W, Wang, R, Ngo, HH, Guo, W, Xie, H & Liang, S 2016, 'Microbial community characteristics during simultaneous nitrification-denitrification process: effect of COD/TP ratio', Environmental Science and Pollution Research, vol. 23, no. 3, pp. 2557-2565.
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Zhang, J, Wu, Q, Shen, C, Zhang, J & Lu, J 2016, 'Multi-Label Image Classification with Regional Latent Semantic Dependencies', IEEE Transactions on Multimedia, vol. 20, no. 10, pp. 2801-2813.
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Deep convolution neural networks (CNN) have demonstrated advanced performanceon single-label image classification, and various progress also have been madeto apply CNN methods on multi-label image classification, which requires toannotate objects, attributes, scene categories etc. in a single shot. Recentstate-of-the-art approaches to multi-label image classification exploit thelabel dependencies in an image, at global level, largely improving the labelingcapacity. However, predicting small objects and visual concepts is stillchallenging due to the limited discrimination of the global visual features. Inthis paper, we propose a Regional Latent Semantic Dependencies model (RLSD) toaddress this problem. The utilized model includes a fully convolutionallocalization architecture to localize the regions that may contain multiplehighly-dependent labels. The localized regions are further sent to therecurrent neural networks (RNN) to characterize the latent semanticdependencies at the regional level. Experimental results on several benchmarkdatasets show that our proposed model achieves the best performance compared tothe state-of-the-art models, especially for predicting small objects occurredin the images. In addition, we set up an upper bound model (RLSD+ft-RPN) usingbounding box coordinates during training, the experimental results also showthat our RLSD can approach the upper bound without using the bounding-boxannotations, which is more realistic in the real world.
Zhang, J, Yan, S, Yuan, D, Alici, G, Nguyen, N-T, Ebrahimi Warkiani, M & Li, W 2016, 'Fundamentals and applications of inertial microfluidics: a review', Lab on a Chip, vol. 16, no. 1, pp. 10-34.
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We provide a comprehensive review describing the fundamental mechanisms of inertial microfluidics, structure design and applications in biology, medicine and industry.
Zhang, JA, Chen, Z, Cheng, P & Huang, X 2016, 'Multiple-measurement vector based implementation for single-measurement vector sparse Bayesian learning with reduced complexity', Signal Processing, vol. 118, no. January 2016, pp. 153-158.
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© 2015 Elsevier B.V. Abstract Sparse Bayesian learning (SBL) has high computational complexity associated with matrix inversion in each iteration. In this paper, we investigate complexity reduced multiple-measurement vector (MMV) based implementation for single-measurement vector SBL problems. For problems with special structured sensing matrices, we propose two sub-optimal SBL schemes with significantly reduced complexity and slight estimation performance degradation, by exploiting the deterministic correlation in the converted MMV model explicitly. Two application scenarios on channel estimation in multicarrier systems and direction of arrival estimation are presented. Simulation results validate the effectiveness of the schemes.
Zhang, JA, Ni, W, Cheng, P & Lu, Y 2016, 'Angle-of-Arrival Estimation Using Different Phase Shifts Across Subarrays in Localized Hybrid Arrays', IEEE Communications Letters, vol. 20, no. 11, pp. 2205-2208.
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© 1997-2012 IEEE. Angle-of-arrival (AoA) estimation, even for a single arriving signal, in a localized hybrid array is challenging and time-consuming due to a phase ambiguity problem. Subarrays use the same phase shifting values conventionally to exploit cross correlation between them. This results in the requirement of scanning multiple angles over excessively long periods to resolve the phase ambiguity problem. In this letter, we propose an approach which allows subarrays to use different phase shifts per estimation and can resolve the ambiguity problem by directly estimating the desired AoA parameter. This can potentially speed up the estimation and improve the estimation performance significantly. Simulation results are provided to demonstrate the effectiveness of the proposed approach.
Zhang, K, Zhang, X, Ni, W, Zhang, L, Yao, J, Li, L & Yan, X 2016, 'Nonlinear constrained production optimization based on augmented Lagrangian function and stochastic gradient', Journal of Petroleum Science and Engineering, vol. 146, pp. 418-431.
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Zhang, L, Li, X, Nie, L, Yang, Y & Xia, Y 2016, 'Weakly Supervised Human Fixations Prediction', IEEE Transactions on Cybernetics, vol. 46, no. 1, pp. 258-269.
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Automatically predicting human eye fixations is a
useful technique that can facilitate many multimedia applications,
e.g., image retrieval, action recognition, and photo
retargeting. Conventional approaches are frustrated by two
drawbacks. First, psychophysical experiments show that an
object-level interpretation of scenes influences eye movements
significantly. Most of the existing saliency models rely on object
detectors, and therefore, only a few prespecified categories can
be discovered. Second, the relative displacement of objects influences
their saliency remarkably, but current models cannot
describe them explicitly. To solve these problems, this paper
proposes weakly supervised fixations prediction, which leverages
image labels to improve accuracy of human fixations prediction.
The proposed model hierarchically discovers objects as well as
their spatial configurations. Starting from the raw image pixels,
we sample superpixels in an image, thereby seamless object
descriptors termed object-level graphlets (oGLs) are generated
by random walking on the superpixel mosaic. Then, a manifold
embedding algorithm is proposed to encode image labels
into oGLs, and the response map of each prespecified object is
computed accordingly. On the basis of the object-level response
map, we propose spatial-level graphlets (sGLs) to model the relative
positions among objects. Afterward, eye tracking data is
employed to integrate these sGLs for predicting human eye fixations.
Thorough experiment results demonstrate the advantage
of the proposed method over the state-of-the-art.
Zhang, L, Yang, Y, Nie, F & Shao, L 2016, 'Guest editors' introduction: Perception, Aesthetics, and Emotion in Multimedia Quality Modeling', IEEE MultiMedia, vol. 23, no. 3, pp. 20-22.
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Zhang, L, Yang, Z, Voinov, A & Gao, S 2016, 'Nature-inspired stormwater management practice: The ecological wisdom underlying the Tuanchen drainage system in Beijing, China and its contemporary relevance', Landscape and Urban Planning, vol. 155, pp. 11-20.
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Zhang, M, Liu, R, Wang, Z, Zhao, B, Song, J, Park, MJ, Shon, HK, Li, X-M & He, T 2016, 'Dehydration of forward osmosis membranes in treating high salinity wastewaters: Performance and implications', Journal of Membrane Science, vol. 498, pp. 365-373.
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Zhang, P, He, J, Long, G, Huang, G & Zhang, C 2016, 'Towards Anomalous Diffusion Sources Detection in a Large Network', ACM Transactions on Internet Technology, vol. 16, no. 1, pp. 1-24.
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Witnessing the wide spread of malicious information in large networks, we develop an efficient method to detect anomalous diffusion sources and thus protect networks from security and privacy attacks. To date, most existing work on diffusion sources detection are based on the assumption that network snapshots that reflect information diffusion can be obtained continuously. However, obtaining snapshots of an entire network needs to deploy detectors on all network nodes and thus is very expensive. Alternatively, in this article, we study the diffusion sources locating problem by learning from information diffusion data collected from only a small subset of network nodes. Specifically, we present a new regression learning model that can detect anomalous diffusion sources by jointly solving five challenges, that is, unknown number of source nodes, few activated detectors, unknown initial propagation time, uncertain propagation path and uncertain propagation time delay. We theoretically analyze the strength of the model and derive performance bounds. We empirically test and compare the model using both synthetic and real-world networks to demonstrate its performance.
Zhang, Q, Zhang, P, Long, G, Ding, W, Zhang, C & Wu, X 2016, 'Online Learning from Trapezoidal Data Streams', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 10, pp. 2709-2723.
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© 1989-2012 IEEE. In this paper, we study a new problem of continuous learning from doubly-streaming data where both data volume and feature space increase over time. We refer to the doubly-streaming data as trapezoidal data streams and the corresponding learning problem as online learning from trapezoidal data streams. The problem is challenging because both data volume and data dimension increase over time, and existing online learning [1] , [2] , online feature selection [3] , and streaming feature selection algorithms [4] , [5] are inapplicable. We propose a new Online Learning with Streaming Features algorithm (OLSF for short) and its two variants, which combine online learning [1] , [2] and streaming feature selection [4] , [5] to enable learning from trapezoidal data streams with infinite training instances and features. When a new training instance carrying new features arrives, a classifier updates the existing features by following the passive-aggressive update rule [2] and updates the new features by following the structural risk minimization principle. Feature sparsity is then introduced by using the projected truncation technique. We derive performance bounds of the OL SF algorithm and its variants. We also conduct experiments on real-world data sets to show the performance of the proposed algorithms.
Zhang, QH, Jin, PK, Ngo, HH, Shi, X, Guo, WS, Yang, SJ, Wang, XC, Wang, X, Dzakpasu, M, Yang, WN & Yang, L 2016, 'Transformation and utilization of slowly biodegradable organic matters in biological sewage treatment of anaerobic anoxic oxic systems', Bioresource Technology, vol. 218, pp. 53-61.
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© 2016 Elsevier Ltd. This study examined the distribution of carbon sources in two anaerobic anoxic oxic (AAO) sewage treatment plants in Xi'an and investigated the transformation characteristics and utilization potential of slowly biodegradable organic matters (SBOM). Results indicated under anaerobic and aerobic conditions, SBOM could be transformed at a rate of 65% in 8 h into more readily biologically utilizable substrates such as volatile fatty acids (VFAs), polysaccharides and proteins. Additionally, non-biodegradable humus-type substances which are difficult to biodegrade and readily accumulate, were also generated. These products could be further hydrolyzed to aldehyde and ketone compounds and then transformed into substances with significant oxygen-containing functional groups and utilized subsequently. The molecular weights of proteinoid substances had a wide distribution and tended to decrease over time. Long hours of microbial reaction increased the proportion of micromolecular substances. This particular increase generated significant bioavailability, which can greatly improve the efficiency of nitrogen removal.
Zhang, QH, Yang, WN, Ngo, HH, Guo, WS, Jin, PK, Dzakpasu, M, Yang, SJ, Wang, Q, Wang, XC & Ao, D 2016, 'Current status of urban wastewater treatment plants in China', Environment International, vol. 92-93, pp. 11-22.
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© 2016 Elsevier Ltd. The study reported and analyzed the current state of wastewater treatment plants (WWTPs) in urban China from the perspective of treatment technologies, pollutant removals, operating load and effluent discharge standards. By the end of 2013, 3508 WWTPs have been built in 31 provinces and cities in China with a total treatment capacity of 1.48 × 108 m3/d. The uneven population distribution between China's east and west regions has resulted in notably different economic development outcomes. The technologies mostly used in WWTPs are AAO and oxidation ditch, which account for over 50% of the existing WWTPs. According to statistics, the efficiencies of COD and NH3-N removal are good in 656 WWTPs in 70 cities. The overall average COD removal is over 88% with few regional differences. The average removal efficiency of NH3-N is up to 80%. Large differences exist between the operating loads applied in different WWTPs. The average operating loading rate is approximately 83%, and 52% of WWTPs operate at loadings of <80%, treating up to 40% of the wastewater generated. The implementation of discharge standards has been low. Approximately 28% of WWTPs that achieved the Grade I-A Discharge Standard of Pollutants for Municipal Wastewater Treatment Plant (GB 18918-2002) were constructed after 2010. The sludge treatment and recycling rates are only 25%, and approximately 15% of wastewater is inefficiently treated. Approximately 60% of WWTPs have capacities of 1 × 104 m3/d-5 × 104 m3/d. Relatively high energy consumption is required for small-scale processing, and the utilization rate of recycled wastewater is low. The challenges of WWTPs are discussed with the aim of developing rational criteria and appropriate technologies for water recycling. Suggestions regarding potential technical and administrative measures are provided.
Zhang, QY, Ma, XY, Wang, XC & Ngo, HH 2016, 'Assessment of multiple hormone activities of a UV-filter (octocrylene) in zebrafish (Danio rerio)', Chemosphere, vol. 159, pp. 433-441.
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Zhang, S, Qin, L, Zheng, Y & Cheng, H 2016, 'Effective and Efficient: Large-Scale Dynamic City Express.', IEEE Trans. Knowl. Data Eng., vol. 28, no. 12, pp. 3203-3217.
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© 1989-2012 IEEE. Due to the large number of requirements for city express services in recent years, the current city express system is found to be unsatisfactory for both the service providers and customers. In this paper, we are the first to systematically study the large-scale dynamic city express problem. We aim to increase both the effectiveness and the efficiency of the scheduling algorithm. The challenges of the problem stem from the highly dynamic environment, the NP-completeness with respect to the number of requests, and real-Time demands for the scheduling result. We introduce a basic algorithm to assign a request to a courier on a first-come, first-served basis. To improve the effectiveness of the basic algorithm, we adopt a batch assignment strategy that computes the pickup-delivery routes for a group of requests received in a short period rather than dealing with each request individually. To improve the efficiency of the algorithm, we further design a two-level priority queue structure to reduce redundant shortest distance calculation and repeated candidate generation. We develop a simulation system and conduct extensive performance studies on the real road network of Beijing city. The experimental results demonstrate the high effectiveness and efficiency of our algorithms. Remarkably, our system can achieve much better service quality and largely reduce the operation cost of a city express company simultaneously.
Zhang, S, Sheng, D, Zhao, G, Niu, F & He, Z 2016, 'Analysis of frost heave mechanisms in a high-speed railway embankment', Canadian Geotechnical Journal, vol. 53, no. 3, pp. 520-529.
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The Harbin–Dalian high-speed railway in northeastern China has a significant portion of track foundation built on seasonally frozen ground. Wide-spread frost heave was observed during the first winter of its operation and the heave occurred mainly in coarse fills that were considered not susceptible to frost heave. This paper first presents the field data of frost heave and frost depth observed along the railway. It then analyses alternative mechanisms that have been considered to have caused the observed frost heave. The three most likely mechanisms are poor quality control of fine content in the coarse fill, the top-down water supply mechanism, and the bottom-up water supply mechanism. The likelihoods of these mechanisms are analysed against observed field data, using a one-dimensional frost heave model. The results indicate that the most likely explanation for the unexpected frost heave is a combined action of different mechanisms.
Zhang, S, Teng, J, He, Z & Sheng, D 2016, 'Importance of vapor flow in unsaturated freezing soil: a numerical study', Cold Regions Science and Technology, vol. 126, pp. 1-9.
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Zhang, S, Teng, J, He, Z, Liu, Y, Liang, S, Yao, Y & Sheng, D 2016, 'Canopy effect caused by vapour transfer in covered freezing soils', Géotechnique, vol. 66, no. 11, pp. 927-940.
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Canopy effect in this paper refers to the phenomenon whereby moisture accumulates underneath an impervious cover. Field observations reveal that the canopy effect can occur in relatively dry soils where the groundwater table is deep and can lead to full saturation of the soil immediately underneath the impervious cover. However, numerical analysis based on existing theories of heat and mass transfer in unsaturated soils can only reproduce a minor amount of moisture accumulation caused by an impervious cover, particularly when the groundwater table is relatively deep. In an attempt to explain the observed canopy effect in the field, this paper proposes a new mechanism of moisture accumulation in unsaturated freezing soils: vapour transfer in such a soil is accelerated by the process of vapour–ice desublimation. A new approach for modelling moisture and heat movements is proposed in which phase changes during the evaporation, condensation and desublimation of vapour flow are considered. A laboratory device is designed specifically to study vapour transfer in unsaturated freezing soils. The test results reveal that vapour transfer can lead to significant moisture and ice accumulation near the freezing end of a soil specimen. The computed results show that the proposed model can indeed reproduce the unusual moisture accumulation observed in relatively dry soils. The results also demonstrate that soil freezing fed by vapour transfer can result in a water content that is close to full saturation. Because vapour transfer is seldom considered in geotechnical design, the canopy effect deserves greater attention during construction and earth works in cold and arid regions.
Zhang, T, Wang, Q, Ye, L & Yuan, Z 2016, 'Effect of free nitrous acid pre-treatment on primary sludge biodegradability and its implications', Chemical Engineering Journal, vol. 290, pp. 31-36.
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Free nitrous acid (FNA i.e. HNO2) pre-treatment has been demonstrated to be effective in enhancing methane production from waste activated sludge (WAS). In some wastewater treatment plants (WWTPs), primary sludge (PS) and WAS are commonly mixed and digested simultaneously in the anaerobic digester. In order to reveal whether and how the PS and WAS should be jointly treated by FNA in WWTPs, this study presents the effects and mechanisms of FNA pre-treatment on methane production from PS. Full-scale derived PS was pre-treated with FNA at concentrations of 0-3.85mgN/L followed by biochemical methane potential (BMP) tests. FNA treated PS was centrifuged to separate the supernatant from the solid phase for BMP tests on both fractions. FNA pre-treatment resulted in the methane potential reduction of 1-7%. The methane production from both supernatant and solid phases also decreased. PS solubilisation in combination with the molecular weight distribution and chemical structure analysis of the soluble phase showed very limited release of readily biodegradable substances from PS with FNA pre-treatment. The fact that FNA pre-treatment compromised the methane production from PS indicates that FNA-based sludge pre-treatment technology should implemented solely on WAS to maximise the methane production from the two sludge streams.
Zhang, T, Wang, Q, Ye, L & Yuan, Z 2016, 'Enhancing post anaerobic digestion of full-scale anaerobically digested sludge using free nitrous acid treatment', Journal of Industrial Microbiology and Biotechnology, vol. 43, no. 5, pp. 713-717.
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Abstract In some wastewater treatment plants (WWTPs), the ever increasing production of sludge with the expanding population overloaded the anaerobic digestion which compromises the sludge reduction efficiency. Post anaerobic digestion of anaerobically digested sludge (ADS) has been applied to enhance sludge reduction, however, to a very limited extent. This study verified the effectiveness of free nitrous acid (FNA i.e. HNO2) pre-treatment on enhancing full-scale ADS degradation in post anaerobic digestion. The ADS collected from a full-scale WWTP was subject to FNA treatment at concentrations of 0.77, 1.54, 2.31, 3.08, and 3.85 mg N/L for 24 h followed by biochemical methane potential tests. The FNA treatment at all concentrations resulted in an increase (from 1.5–3.1 % compared to the control) in sludge reduction with the highest improvement achieved at 0.77 mg HNO2-N/L. The FNA treatment at this concentration also resulted in the highest increase in methane production (40 %) compared to the control. The economic analysis indicates that FNA treatment is economically attractive for enhancing post anaerobic digestion of full-scale ADS.
Zhang, T, Yang, Z, Jia, W, Yang, B, Yang, J & He, X 2016, 'A new method for violence detection in surveillance scenes', Multimedia Tools and Applications, vol. 75, no. 12, pp. 7327-7349.
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© 2015, Springer Science+Business Media New York. Violence detection is a hot topic for surveillance systems. However, it has not been studied as much as for action recognition. Existing vision-based methods mainly concentrate on violence detection and make little effort to determine the location of violence. In this paper, we propose a fast and robust framework for detecting and localizing violence in surveillance scenes. For this purpose, a Gaussian Model of Optical Flow (GMOF) is proposed to extract candidate violence regions, which are adaptively modeled as a deviation from the normal behavior of crowd observed in the scene. Violence detection is then performed on each video volume constructed by densely sampling the candidate violence regions. To distinguish violent events from nonviolent events, we also propose a novel descriptor, named as Orientation Histogram of Optical Flow (OHOF), which are fed into a linear SVM for classification. Experimental results on several benchmark datasets have demonstrated the superiority of our proposed method over the state-of-the-arts in terms of both detection accuracy and processing speed, even in crowded scenes.
Zhang, X, Chen, X, Zhang, C, Wen, H, Guo, W & Ngo, HH 2016, 'Effect of filling fraction on the performance of sponge-based moving bed biofilm reactor', Bioresource Technology, vol. 219, pp. 762-767.
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© 2016 Elsevier Ltd Cubic-shaped polyurethane sponges (15 × 15 × 15 mm) in the form of biofilm carriers were used in a moving bed biofilm reactor (MBBR) for treating synthetic domestic wastewater. Results indicated there was no significant difference in total organic carbon (TOC) and ammonia (NH4+-N) removal at different filling fractions. Three reactors exhibited high removal efficiencies of over 93% TOC and 95% NH4+-N on average at an HRT of 12 h and aeration flow of 0.09 m3/h. However, total nitrogen (TN) removal and simultaneous nitrification and denitrification (SND) increased with increasing the filling fraction. TN removal averaged at 77.2, 85.5% and 86.7% in 10%, 20% and 30% filling fraction reactor, respectively. Correspondingly, SND were 85.5 ± 8.7%, 91.3 ± 9.4% and 93.3 ± 10.2%. Moreover, it was observed that sponge carriers in the 20% filling fraction reactor achieved the maximum biomass amount per gram sponge, followed by the 10% and 30% filling fraction reactors.
Zhang, X, Ding, Y, Sheng, D, Sloan, SW & Huang, W 2016, 'Quasi-static collapse of two-dimensional granular columns: insight from continuum modelling', Granular Matter, vol. 18, no. 3.
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We investigate numerically the mechanism governing the quasi-static collapse of two-dimensional granular columns using a recently proposed continuum approach, the particle finite element method (PFEM), which inherits both the solid mathematical foundation of the traditional finite element method and the flexibility of particle methods in simulating ultra-large deformation problems. The typical collapse patterns of granular columns are reproduced in the PFEM simulation and the physical mechanism behind the collapse phenomenon is provided. The collapse processes obtained from the PFEM simulation are compared to experimental observations and discrete element modeling, where a satisfactory agreement is achieved. The effects of the macro density and friction angle of the granular matter, as well as the roughness of the wall surfaces on the quasi-static collapse, are also investigated in this paper. Furthermore, our simulations reveal new quasi-static collapse patterns, as supplements to the ones already observed in the experimental tests, due to the change of the roughness of the basal surface.
Zhang, X, Guo, W, Ngo, HH, Wen, H, Li, N & Wu, W 2016, 'Performance evaluation of powdered activated carbon for removing 28 types of antibiotics from water', Journal of Environmental Management, vol. 172, pp. 193-200.
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Zhang, X, Sheng, D, Sloan, SW & Krabbenhoft, K 2016, 'Second-order cone programming formulation for consolidation analysis of saturated porous media', Computational Mechanics, vol. 58, no. 1, pp. 29-43.
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Zhang, Y, Čejka, J, Lumpkin, GR, Tran, TT, Aharonovich, I, Karatchevtseva, I, Price, JR, Scales, N & Lu, K 2016, 'Hydrothermal synthesis, structures and properties of two uranyl oxide hydroxyl hydrate phases with Co(ii) or Ni(ii) ions', New Journal of Chemistry, vol. 40, no. 6, pp. 5357-5363.
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Two new iso-structured uranyl oxide hydroxyl hydrate phases with hydroxyl Co2+or Ni2+ions at the interlayers have been synthesised under hydrothermal conditions and structurally characterised.
Zhang, Y, Clegg, JK, Lu, K, Lumpkin, GR, Tran, TT, Aharonovich, I, Scales, N & Li, F 2016, 'Uranium(VI) hybrid materials with [(UO2)3(µ3‐O)(µ2‐OH)3]+ as the sub–building unit via uranyl–cation interactions', ChemistrySelect, vol. 1, no. 1, pp. 7-12.
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AbstractThe hydrothermal reaction of uranyl nitrate with 1,4‐benzenedicarboxylic acid (H2bdc) in the presence of strontium or potassium hydroxides and nitrates afford the formation of two new uranyl hybrid materials featuring extensive uranyl‐strontium or uranyl‐potassium interactions with [(UO2)3(µ3‐O)(µ2‐OH)3]+ as the sub‐building unit. Sr1.5[(UO2)12(O)3(OH)13(bdc)4]⋅6H2O (1) contains one‐dimensional (1D) uranyl oxohydroxyl ribbons made of trinuclear pentagonal bipyramidal uranyl units. The ribbons are linked together via uranyl‐strontium interactions to form 2D inorganic domains which are further connected through µ4‐bdc anions forming a 3D hybrid structure. This is the first reported uranyl‐strontium interaction in extended hybrid solid with the shortest Sr‐O−yl bond length of 2.596 (8) Å. K3[(UO2)12(O)3(OH)13(bdc)4]⋅8H2O (2) has a similar 3D hybrid structure built up through extensive K‐O−yl interactions with the shortest K‐O−yl bond length of 2.620 (6) Å. Raman spectroscopy has confirmed the presence of oxo‐bridging (U−O−U) vibrations. Thermal stabilities and photoluminescent properties are reported.
Zhang, Y, Jiang, C, Han, Z, Yu, S & Yuan, J 2016, 'Interference-Aware Coordinated Power Allocation in Autonomous Wi-Fi Environment', IEEE Access, vol. 4, pp. 3489-3500.
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Self-managed access points (APs) with growing intelligence can optimize their own performances but pose potential negative impacts on others without energy efficiency. In this paper, we focus on modeling the coordinated interaction among interest-independent and self-configured APs, and conduct the power allocation case study in the autonomous Wi-Fi scenario. Specifically, we build a 'coordination Wi-Fi platform (CWP), a public platform for APs interacting with each other. OpenWrt-based APs in the physical world are mapped to virtual agents (VAs) in CWP, which communicate with each other through a standard request-reply process defined as AP talk protocol (ATP). With ATP, an active interference measurement methodology is proposed reflecting both in-range interference and hidden terminal interference, and the Nash bargaining-based power control is further formulated for interference reductions. CWP is deployed in a real office environment, where coordination interactions between VAs can bring a maximum 40-Mb/s throughput improvement with the Nash bargaining-based power control in the multi-AP experiments.
Zhang, Y, Karatchevtseva, I, Bhadbhade, M, Tran, TT, Aharonovich, I, Fanna, DJ, Shepherd, ND, Lu, K, Li, F & Lumpkin, GR 2016, 'Solvothermal synthesis of uranium(VI) phases with aromatic carboxylate ligands: A dinuclear complex with 4-hydroxybenzoic acid and a 3D framework with terephthalic acid', Journal of Solid State Chemistry, vol. 234, pp. 22-28.
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Crown Copyright © 2015 Published by Elsevier Inc. With the coordination of dimethylformamide (DMF), two new uranium(VI) complexes with either 4-hydroxybenzoic acid (H2phb) or terephthalic acid (H2tph) have been synthesized under solvothermal conditions and structurally characterized. [(UO2)2(Hphb)2(phb)(DMF)(H2O)3]·4H2O (1) has a dinuclear structure constructed with both pentagonal and hexagonal bipyramidal uranium polyhedra linked through a μ2-bridging ligand via both chelating carboxylate arm and alcohol oxygen bonding, first observation of such a coordination mode of 4-hydroxybenzoate for 5 f ions. [(UO2)(tph)(DMF)] (2) has a three-dimensional (3D) framework built with pentagonal bipyramidal uranium polyhedra linked with μ4-terephthalate ligands. The 3D channeled structure is facilitated by the unique carboxylate bonding with nearly linear C-O-U angles and the coordination of DMF molecules. The presence of phb ligands in different coordination modes, uranyl ions in diverse environments and DMF in complex 1, and tph ligand, DMF and uranyl ion in complex 2 has been confirmed by Raman spectroscopy. In addition, their thermal stability and photoluminescence properties have been investigated.
Zhang, Y, Robinson, DKR, Porter, AL, Zhu, D, Zhang, G & Lu, J 2016, 'Technology roadmapping for competitive technical intelligence', TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, vol. 110, no. 2016, pp. 175-186.
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© 2015 Elsevier Inc. Understanding the evolution and emergence of technology domains remains a challenge, particularly so for potentially breakthrough technologies. Though it is well recognized that emergence of new fields is complex and uncertain, to make decisions amidst such uncertainty, one needs to mobilize various sources of intelligence to identify known–knowns and known–unknowns to be able to choose appropriate strategies and policies. This competitive technical intelligence cannot rely on simple trend analyses because breakthrough technologies have little past to inform such trends, and positing the directions of evolution is challenging. Neither do qualitative tools, embracing the complexities, provide all the solutions, since transparent and repeatable techniques need to be employed to create best practices and evaluate the intelligence that comes from such exercises. In this paper, we present a hybrid roadmapping technique that draws on a number of approaches and integrates them into a multi-level approach (individual activities, industry evolutions and broader global changes) that can be applied to breakthrough technologies. We describe this approach in deeper detail through a case study on dye-sensitized solar cells. Our contribution to this special issue is to showcase the technique as part of a family of approaches that are emerging around the world to inform strategy and policy.
Zhang, Y, Shang, L, Huang, L, Porter, AL, Zhang, G, Lu, J & Zhu, D 2016, 'A hybrid similarity measure method for patent portfolio analysis', Journal of Informetrics, vol. 10, no. 4, pp. 1108-1130.
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© 2016 Elsevier Ltd Similarity measures are fundamental tools for identifying relationships within or across patent portfolios. Many bibliometric indicators are used to determine similarity measures; for example, bibliographic coupling, citation and co-citation, and co-word distribution. This paper aims to construct a hybrid similarity measure method based on multiple indicators to analyze patent portfolios. Two models are proposed: categorical similarity and semantic similarity. The categorical similarity model emphasizes international patent classifications (IPCs), while the semantic similarity model emphasizes textual elements. We introduce fuzzy set routines to translate the rough technical (sub-) categories of IPCs into defined numeric values, and we calculate the categorical similarities between patent portfolios using membership grade vectors. In parallel, we identify and highlight core terms in a 3-level tree structure and compute the semantic similarities by comparing the tree-based structures. A weighting model is designed to consider: 1) the bias that exists between the categorical and semantic similarities, and 2) the weighting or integrating strategy for a hybrid method. A case study to measure the technological similarities between selected firms in China's medical device industry is used to demonstrate the reliability our method, and the results indicate the practical meaning of our method in a broad range of informetric applications.
Zhang, Y, Wu, J, Cai, Z, Zhang, P & Chen, L 2016, 'Memetic Extreme Learning Machine', Pattern Recognition, vol. 58, pp. 135-148.
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© 2016. Extreme Learning Machine (ELM) is a promising model for training single-hidden layer feedforward networks (SLFNs) and has been widely used for classification. However, ELM faces the challenge of arbitrarily selected parameters, e.g., the network weights and hidden biases. Therefore, many efforts have been made to enhance the performance of ELM, such as using evolutionary algorithms to explore promising areas of the solution space. Although evolutionary algorithms can explore promising areas of the solution space, they are not able to locate global optimum efficiently. In this paper, we present a new Memetic Algorithm (MA)-based Extreme Learning Machine (M-ELM for short). M-ELM embeds the local search strategy into the global optimization framework to obtain optimal network parameters. Experiments and comparisons on 46 UCI data sets validate the performance of M-ELM. The corresponding results demonstrate that M-ELM significantly outperforms state-of-the-art ELM algorithms.
Zhang, Y, Zhang, G, Chen, H, Porter, AL, Zhu, D & Lu, J 2016, 'Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research', TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, vol. 105, pp. 179-191.
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© 2016 Elsevier Inc. The number and extent of current Science, Technology & Innovation topics are changing all the time, and their induced accumulative innovation, or even disruptive revolution, will heavily influence the whole of society in the near future. By addressing and predicting these changes, this paper proposes an analytic method to (1) cluster associated terms and phrases to constitute meaningful technological topics and their interactions, and (2) identify changing topical emphases. Our results are carried forward to present mechanisms that forecast prospective developments using Technology Roadmapping, combining qualitative and quantitative methodologies. An empirical case study of Awards data from the United States National Science Foundation, Division of Computer and Communication Foundation, is performed to demonstrate the proposed method. The resulting knowledge may hold interest for R&D management and science policy in practice.
Zhang, Z, Halkon, B, Chou, SM & Qu, X 2016, 'A novel phase-aligned analysis on motion patterns of table tennis strokes', International Journal of Performance Analysis in Sport, vol. 16, no. 1, pp. 305-316.
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© 2016, Routledge. All rights reserved. A wide range of human motion represent repetitive patterns particularly in racket sports. Quantitative analysis of the continuous variables during the different phases of the motion cycle helps to investigate more deeply the specific movement of the racket or player. Table tennis biomechanics research to date lacks the necessary detail of phase decomposition and phase-based quantitative analysis. Therefore, this study proposes a novel velocity-based piecewise alignment method to identify the different phases of a table tennis forehand stroke. A controlled experiment was conducted on a number of players of two differing ability levels (experts vs. novices) to implement this novel methodology. Detailed results are shown for the quantitative analysis on multiple strokes of the two groups of participants. Significant differences were found in both the displacement and velocity of the racket movement in the backswing, forward swing and follow-through phases. For example, it is clear that experts’ strokes show higher racket resultant velocity than novices during both the forward swing and follow-through phases by up to a factor of two. Furthermore, the phase-based approach to analysing racket motions leads to interrogation over a greater duration than the traditional time-based method which is generally only concerned with impact ±0.25s.
Zhang, Z, Liu, Y, Xu, G & Chen, H 2016, 'A weighted adaptation method on learning user preference profile', Knowledge-Based Systems, vol. 112, pp. 114-126.
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© 2016 Elsevier B.V. Recommender systems typically store personal preference profiles. Many items in the profiles can be represented by numerical attributes. However, the initial profile of each user is incomplete and imprecise. One important problem in the development of these systems is how to learn user preferences, and how to automatically adapted update the profiles. To address this issue, this paper presents an unsupervised approach for learning user preferences over numeric attributes by analyzing the interactions between users and recommender systems. When a list of recommendations shown to a target user, the favorite item will be selected by him/her, then the selected item and the over-ranked items will be employed as valuable feedback to learn the user profile. Specifically, two contributions are offered: 1), a learning approach to measure the influence of over-ranked items through analysis of user feedbacks and 2), a weighting algorithm to calculate weights of different attributes by analyzing user selections. These two approaches are integrated into a traditional adaption model for updating user preference profile. Extensive simulations and results show that both approaches are more effective than existing approaches.
Zhang, Z, Liu, Y, Xu, G & Luo, G 2016, 'Recommendation using DMF-based fine tuning method', Journal of Intelligent Information Systems, vol. 47, no. 2, pp. 233-246.
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© 2016 Springer Science+Business Media New York Recommender Systems (RS) have been comprehensively analyzed in the past decade, Matrix Factorization (MF)-based Collaborative Filtering (CF) method has been proved to be an useful model to improve the performance of recommendation. Factors that inferred from item rating patterns shows the vectors which are useful for MF to characterize both items and users. A recommendation can concluded from good correspondence between item and user factors. A basic MF model starts with an object function, which is consisted of the squared error between original training matrix and predicted matrix as well as the regularization term (regularization parameters). To learn the predicted matrix, recommender systems minimize the squared error which has been regularized. However, two important details have been ignored: (1) the predicted matrix will be more and more accuracy as the iterations carried out, then a fix value of regularization parameters may not be the most suitable choice. (2) the final distribution trend of ratings of predicted matrix is not similar with the original training matrix. Therefore, we propose a Dynamic-MF algorithm and fine tuning method which is quite general to overcome the mentioned detail problems. Some other information, such as social relations, etc, can be easily incorporated into this method (model). The experimental analysis on two large datasets demonstrates that our approaches outperform the basic MF-based method.
Zhang, Z, Oberst, S & Lai, JCS 2016, 'Instability analysis of friction oscillators with uncertainty in the friction law distribution', Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, vol. 230, no. 6, pp. 948-958.
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Despite substantial research efforts in the past two decades, the prediction of brake squeal propensity, as a significant noise, vibration and harshness (NVH) issue to automotive manufactures, is as difficult as ever. This is due to the complexity of the interacting mechanisms (e.g. stick-slip, sprag-slip, mode coupling and hammering effect) and the uncertain operating conditions (temperature, pressure). In particular, two major aspects in brake squeal have attracted significant attention recently: nonlinearity and uncertainty. The fugitiveness of brake squeal could be attributed to a number of factors including the difficulty in accurately modelling friction. In this paper, the influence of the uncertainty arising from the tribological aspect in brake squeal prediction is analysed. Three types of friction models, namely the Amonton-Coulomb model, the velocity-dependent model and the LuGre model, are randomly assigned to a group of interconnected oscillators which model the dynamics of a brake system. The complex eigenvalue analysis, as a standard stability analysis tool, and the friction work calculation are performed to investigate the probability for instability arising from the uncertainty in the friction models. The results are discussed with a view to apply this approach to the analysis of the squeal propensity for a full brake system.
Zhang, Z, Oberst, S & Lai, JCS 2016, 'On the potential of uncertainty analysis for prediction of brake squeal propensity', Journal of Sound and Vibration, vol. 377, pp. 123-132.
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Zhang, Z, Song, Y, Liu, F & Liu, J 2016, 'Daily Average Wind Power Interval Forecasts Based on an Optimal Adaptive-Network-Based Fuzzy Inference System and Singular Spectrum Analysis', Sustainability, vol. 8, no. 2, pp. 125-125.
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Zhao, C, Xie, H, Xu, J, Zhang, J, Liang, S, Hao, J, Ngo, HH, Guo, W, Xu, X, Wang, Q & Wang, J 2016, 'Removal mechanisms and plant species selection by bioaccumulative factors in surface flow constructed wetlands (CWs): In the case of triclosan', Science of The Total Environment, vol. 547, pp. 9-16.
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Zhao, H, Liu, X, Cao, Z, Zhan, Y, Shi, X, Yang, Y, Zhou, J & Xu, J 2016, 'Adsorption behavior and mechanism of chloramphenicols, sulfonamides, and non-antibiotic pharmaceuticals on multi-walled carbon nanotubes', Journal of Hazardous Materials, vol. 310, pp. 235-245.
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The adsorption behavior of different emerging contaminants (3 chloramphenicols, 7 sulfonamides, and 3 non-antibiotic pharmaceuticals) on five types of multi-walled carbon nanotubes (MWCNTs), and the underlying factors were studied. Adsorption equilibriums were reached within 12h for all compounds, and well fitted by the Freundlich isotherm model. The adsorption affinity of pharmaceuticals was positively related to the specific surface area of MWCNTs. The solution pH was an important parameter of pharmaceutical adsorption on MWCNTs, due to its impacts on the chemical speciation of pharmaceuticals and the surface electrical property of MWCNTs. The adsorption of ionizable pharmaceuticals decreased in varying degrees with the increased ionic strength. MWCNT-10 was found to be the strongest adsorbent in this study, and the Freundlich constant (KF) values were 353-2814mmol(1-n)L(n)/kg, 571-618mmol(1-n)L(n)/kg, and 317-1522mmol(1-n)L(n)/kg for sulfonamides, chloramphenicols, and non-antibiotic pharmaceuticals, respectively. The different adsorption affinity of sulfonamides might contribute to the different hydrophobic of heterocyclic substituents, while chloramphenicols adsorption was affected by the charge distribution in aromatic rings via substituent effects.
Zhao, H, Lu, Z, Zhang, J, Li, X, Guo, X & Sun, X 2016, 'Method to decide a multi-fault rush repair robust strategy in power distribution networks', Engineering Applications of Artificial Intelligence, vol. 56, pp. 91-101.
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Zhao, J, Guo, Z-H, Su, Z-Y, Zhao, Z-Y, Xiao, X & Liu, F 2016, 'An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind speed', Applied Energy, vol. 162, pp. 808-826.
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Zhao, J, Liu, Y, Ni, B, Wang, Q, Wang, D, Yang, Q, Sun, Y, Zeng, G & Li, X 2016, 'Combined Effect of Free Nitrous Acid Pretreatment and Sodium Dodecylbenzene Sulfonate on Short-Chain Fatty Acid Production from Waste Activated Sludge', Scientific Reports, vol. 6, no. 1, p. 21622.
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AbstractFree nitrous acid (FNA) serving as a pretreatment is an effective approach to accelerate sludge disintegration. Also, sodium dodecylbenzene sulfonate (SDBS), a type of surfactants, has been determined at significant levels in sewage sludge, which thereby affects the characteristics of sludge. Both FNA pretreatment and sludge SDBS levels can affect short-chain fatty acid (SCFA) generation from sludge anaerobic fermentation. To date, however, the combined effect of FNA pretreatment and SDBS presence on SCFA production as well as the corresponding mechanisms have never been documented. This work therefore aims to provide such support. Experimental results showed that the combination of FNA and SDBS treatment not only improved SCFA accumulation but also shortened the fermentation time. The maximal SCFA accumulation of 334.5 mg chemical oxygen demand (COD)/g volatile suspended solids (VSS) was achieved at 1.54 mg FNA/L treatment and 0.02 g/g dry sludge, which was respectively 1.79-fold and 1.41-fold of that from FNA treatment and sludge containing SDBS alone. Mechanism investigations revealed that the combined FNA pretreatment and SDBS accelerated solubilization, hydrolysis, and acidification steps but inhibited the methanogenesis. All those observations were in agreement with SCFA enhancement.
Zhao, J, Wang, J & Liu, F 2016, 'Multistep Forecasting for Short-Term Wind Speed Using an Optimized Extreme Learning Machine Network with Decomposition-Based Signal Filtering', Journal of Energy Engineering, vol. 142, no. 3, pp. 04015036-04015036.
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Zhao, L, Giannarou, S, Lee, S-L & Yang, G-Z 2016, 'SCEM+: Real-Time Robust Simultaneous Catheter and Environment Modeling for Endovascular Navigation', IEEE Robotics and Automation Letters, vol. 1, no. 2, pp. 961-968.
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Endovascular procedures are characterised by significant challenges mainly due to the complexity in catheter control and navigation. Real-time recovery of the 3-D structure of the vasculature is necessary to visualise the interaction between the catheter and its surrounding environment to facilitate catheter manipulations. State-of-the-art intraoperative vessel reconstruction approaches are increasingly relying on nonionising imaging techniques such as optical coherence tomography (OCT) and intravascular ultrasound (IVUS). To enable accurate recovery of vessel structures and to deal with sensing errors and abrupt catheter motions, this letter presents a robust and real-time vessel reconstruction scheme for endovascular navigation based on IVUS and electromagnetic (EM) tracking. It is formulated as a nonlinear optimisation problem, which considers the uncertainty in both the IVUS contour and the EM pose, as well as vessel morphology provided by preoperative data. Detailed phantom validation is performed and the results demonstrate the potential clinical value of the technique.
Zhao, L-S, Zhou, W-H, Fatahi, B, Li, X-B & Yuen, K-V 2016, 'A dual beam model for geosynthetic-reinforced granular fill on an elastic foundation', Applied Mathematical Modelling, vol. 40, no. 21-22, pp. 9254-9268.
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In this study, a new dual beam model was proposed for a geosynthetic-reinforced granular fill with an upper pavement. This dual beam model was subjected to a uniform surcharge loading and resting on an elastic foundation which was simulated by a Pasternak model. The upper pavement was modeled by an Euler-Bernoulli beam while the geosynthetic reinforced granular fill was simulated by a reinforced Timoshenko beam. The explicit derivation process for the behavior of this dual beam-foundation system was presented and an exact solution was obtained. A two-dimensional finite element analysis and a Pasternak model for simulating the granular fill were carried out to validate the reliability of the proposed dual beam model. A parametric analysis was put forward to investigate the behavior of this dual beam-foundation system. It was found that the length of the pavement structure and vertical uniform loading, the stiffness and shear modulus of the foundation soil had significant influences on the behavior of the dual beam-foundation system.
Zhao, P, Gao, B, Yue, Q, Liu, P & Shon, HK 2016, 'Fatty acid fouling of forward osmosis membrane: Effects of pH, calcium, membrane orientation, initial permeate flux and foulant composition', Journal of Environmental Sciences, vol. 46, pp. 55-62.
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© 2016 Octanoic acid (OA) was selected to represent fatty acids in effluent organic matter (EOM). The effects of feed solution (FS) properties, membrane orientation and initial permeate flux on OA fouling in forward osmosis (FO) were investigated. The undissociated OA formed a cake layer quickly and caused the water flux to decline significantly in the initial 0.5 hr at unadjusted pH 3.56; while the fully dissociated OA behaved as an anionic surfactant and promoted the water permeation at an elevated pH of 9.00. Moreover, except at the initial stage, the sudden decline of water flux (meaning the occurrence of severe membrane fouling) occurred in two conditions: 1. 0.5 mmol/L Ca2 +, active layer facing draw solution (AL-DS) and 1.5 mol/L NaCl (DS); 2. No Ca2 +, active layer-facing FS (AL-FS) and 4 mol/L NaCl (DS). This demonstrated that cake layer compaction or pore blocking occurred only when enough foulants were absorbed into the membrane surface, and the water permeation was high enough to compact the deposit inside the porous substrate. Furthermore, bovine serum albumin (BSA) was selected as a co-foulant. The water flux of both co-foulants was between the fluxes obtained separately for the two foulants at pH 3.56, and larger than the two values at pH 9.00. This manifested that, at pH 3.56, BSA alleviated the effect of the cake layer caused by OA, and OA enhanced BSA fouling simultaneously; while at pH 9.00, the mutual effects of OA and BSA eased the membrane fouling.
Zhao, P, Gao, B, Yue, Q, Liu, S & Shon, HK 2016, 'The performance of forward osmosis in treating high-salinity wastewater containing heavy metal Ni2+', Chemical Engineering Journal, vol. 288, pp. 569-576.
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© 2015 Elsevier B.V. In this study, the performance of forward osmosis (FO) in treating the high-salinity feed waters containing heavy metal Ni2+ with different salinities was investigated using two different FO membranes (cellulose triacetate (CTA) and polyamide-based thin-film composite (TFC) membrane). Moreover, scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS) were selected to analyze the used membrane. The result showed that, heavy metals Ni2+ stimulated the formation of CP, and then decreased the water flux. However, this effect decreased with the increase of FS salinity and membrane hydrophilicity. Due to the amphiprotic characteristics, SDBS promoted the water permeation by increasing the hydrophilicity of the membrane surface. The effect of SDBS on CTA-FO membrane was greater than TFC-FO membrane for that CTA-FO membrane was weakly hydrophilic. However, the role decreased with the salinity increasing. Ni2+ removal efficiencies were more than 93%. Specifically, TFC-FO membrane was higher than CTA-FO membrane in high-salinity wastewater, and the FO mode maintained an advantage over the PRO mode. SDBS enhanced Ni2+ removal efficiency greatly at low salinity, and decreased it instead at high salinity. The SEM-EDS analysis supplied the technique support and reflected the role of Ni2+ and SDBS in the membrane directly.
Zhao, P, Gao, B, Yue, Q, Shon, HK & Li, Q 2016, 'Fouling of forward osmosis membrane by protein (BSA): effects of pH, calcium, ionic strength, initial permeate flux, membrane orientation and foulant composition', Desalination and Water Treatment, vol. 57, no. 29, pp. 13415-13424.
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© 2015 Balaban Desalination Publications. All rights reserved. In this study, bovine serum albumin (BSA) was selected to represent proteins of secondary wastewater effluent. The role of various physical and chemical interactions, such as calcium concentration, ionic strength, solution pH, feed foulant composition, initial permeate flux, and membrane orientation, in BSA fouling of forward osmosis (FO) membranes was investigated. Fouling experiments showed that membrane fouling by BSA was enhanced with increasing calcium concentration and ionic strength. The former was mainly due to the complexes formed by the interaction of Ca2+ and carboxylic functional groups of BSA, and the latter resulted from the decreasing electrostatic repulsion among BSA molecules and between BSA molecules and membrane. Moreover, FO membrane fouling became much more significant at solution pH 4.7 (the BSA isoelectric point), where BSA molecules were neutrally charged and had no electrostatic repulsion among themselves. It was also demonstrated that the presence of alginate (a model polysaccharide) as co-foulant aggravated the BSA fouling of FO membrane, which could be attributed to the remarkable contribution of the alginateBSACa2+ complexes within the fouling layer to the total membrane resistance. The fouled membranes were examined by scanning electron microscopy to further sustain the conclusion. In addition, the size distribution of foulant molecules in various FS was measured and used as a reference to judge and control the behavior of BSA fouling. The present paper is contributed to better understanding of FO membrane fouling caused by protein (BSA) and has instructive significance for the future development.
Zhao, S, Cheng, E, Qiu, X, Burnett, I & Liu, JC-C 2016, 'Pressure spectra in turbulent flows in the inertial and the dissipation ranges', The Journal of the Acoustical Society of America, vol. 140, no. 6, pp. 4178-4182.
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Based on existing studies that provide the pressure spectra in turbulent flows from the asymptotic pressure structure function in the inertial range, this paper extends the pressure spectrum to the dissipation range by proposing a pressure structure function model that incorporates both the inertial and dissipation ranges. Existing experiment results were used to validate the proposed pressure structure function model first, and then the obtained pressure spectrum was compared with the simulation and measurement data in the literature and the wind-induced noise measured outdoors. All comparisons demonstrate that the pressure spectrum obtained from the proposed pressure structure function model can be used to estimate the pressure spectra in both the inertial and dissipation ranges in turbulent flows with a sufficiently large Reynolds number.
Zhao, W, Li, J, Jin, K, Liu, W, Qiu, X & Li, C 2016, 'Fabrication of functional PLGA-based electrospun scaffolds and their applications in biomedical engineering', Materials Science and Engineering: C, vol. 59, pp. 1181-1194.
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Zheng, C, Liu, H, Ding, X, Kouretzis, GP & Sheng, D 2016, 'Three-Dimensional Effects in Low-Strain Integrity Testing of Large Diameter Pipe Piles', Journal of Engineering Mechanics, vol. 142, no. 9, pp. 04016064-04016064.
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Zheng, J, Ouyang, Q, Li, Z, Li, Y & Wang, J 2016, 'Experimental analysis of separately controlled multi-coils on the performance of magnetorheological absorber under impact loading', Journal of Intelligent Material Systems and Structures, vol. 27, no. 7, pp. 887-897.
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A magnetorheological absorber is capable of actively adapting any gun recoil condition by means of controlled Coulomb force. The objective of multi-coil magnetorheological absorber with individual input currents is to mitigate the peak force transferred to the buffer structure during bullet firing, and thus to increase the structural fatigue life. This article investigates various cases by applying random combinations of input currents to the magnetic coils. The impact tests were conducted by obtaining and analyzing the force, displacement, and velocity. As a reference, input currents with equivalent magnitude are considered statistically, in terms of average peak force and occurrence time. The experimental results show that separately controlled multi-coils contribute to the magnitude and occurrence time of peak force significantly. Furthermore, to reduce peak forces, a simple open-loop control strategy was proposed and validated effectively by the experimental results.
Zheng, X, Yang, Y, Liu, M, Yu, Y, Zhou, JL & Li, D 2016, 'PAH determination based on a rapid and novel gas purge-microsyringe extraction (GP-MSE) technique in road dust of Shanghai, China: Characterization, source apportionment, and health risk assessment', Science of The Total Environment, vol. 557-558, pp. 688-696.
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A novel cleanup technique termed as gas purge-microsyringe extraction (GP-MSE) was evaluated and applied for polycyclic aromatic hydrocarbon (PAH) determination in road dust samples. A total of 68 road dust samples covering almost the entire Shanghai area were analyzed for 16 priority PAHs using gas chromatography-mass spectrometry. The results indicate that the total PAH concentrations over the investigated sites ranged from 1.04μg/g to 134.02μg/g dw with an average of 13.84μg/g. High-molecular-weight compounds (4-6 rings PAHs) were significantly dominant in the total mass of PAHs, and accounted for 77.85% to 93.62%. Diagnostic ratio analysis showed that the road dust PAHs were mainly from the mixture of petroleum and biomass/coal combustions. Principal component analysis in conjunction with multiple linear regression indicated that the two major origins of road dust PAHs were vehicular emissions and biomass/fossil fuel combustions, which contributed 66.7% and 18.8% to the total road dust PAH burden, respectively. The concentration of benzo[a]pyrene equivalent (BaPeq) varied from 0.16μg/g to 24.47μg/g. The six highly carcinogenic PAH species (benz(a)anthracene, benzo(a)pyrene, benzo(b)fluoranthene, benzo(k)fluoranthene, dibenz(a,h)anthracene, and indeno(1,2,3-cd)pyrene) accounted for 98.57% of the total BaPeq concentration. Thus, the toxicity of PAHs in road dust was highly associated with high-molecular-weight compounds.
Zheng, Y, Ji, B, Song, R, Wang, S, Li, T, Zhang, X, Chen, K, Li, T & Li, J 2016, 'Accurate detection for a wide range of mutation and editing sites of microRNAs from small RNA high-throughput sequencing profiles', Nucleic Acids Research, vol. 44, no. 14, pp. e123-e123.
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© 2016 The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. Various types of mutation and editing (M/E) events in microRNAs (miRNAs) can change the stabilities of pre-miRNAs and/or complementarities between miRNAs and their targets. Small RNA (sRNA) high-throughput sequencing (HTS) profiles can contain many mutated and edited miRNAs. Systematic detection of miRNA mutation and editing sites from the huge volume of sRNA HTS profiles is computationally difficult, as high sensitivity and low false positive rate (FPR) are both required. We propose a novel method (named MiRME) for an accurate and fast detection of miRNA M/E sites using a progressive sequence alignment approach which refines sensitivity and improves FPR step-by-step. From 70 sRNA HTS profiles with over 1.3 billion reads, MiRME has detected thousands of statistically significant M/E sites, including 3′-editing sites, 57 A-to-I editing sites (of which 32 are novel), as well as some putative non-canonical editing sites. We demonstrated that a few non-canonical editing sites were not resulted from mutations in genome by integrating the analysis of genome HTS profiles of two human cell lines, suggesting the existence of new editing types to further diversify the functions of miRNAs. Compared with six existing studies or methods, MiRME has shown much superior performance for the identification and visualization of the M/E sites of miRNAs from the ever-increasing sRNA HTS profiles.
Zheng, Y, Wang, X, Dzakpasu, M, Zhao, Y, Ngo, HH, Guo, W, Ge, Y & Xiong, J 2016, 'Effects of interspecific competition on the growth of macrophytes and nutrient removal in constructed wetlands: A comparative assessment of free water surface and horizontal subsurface flow systems', Bioresource Technology, vol. 207, pp. 134-141.
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Zheng, Y, Zhang, G, Han, J & Lu, J 2016, 'Pessimistic bilevel optimization model for risk-averse production-distribution planning', INFORMATION SCIENCES, vol. 372, pp. 677-689.
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© 2016Production-distribution (PD) planning problems are often addressed in an organizational hierarchy in which a distribution company that utilizes several depots is the leader and the manufacturing companies are the followers. The classical objective function of the leader is to minimize the total operating cost of the distribution company, and the followers optimize their respective production cost. However, the distribution company (the leader) frequently cannot obtain complete production information from the manufacturing companies, and may thus become risk-averse. In this case, a better description of the leader's objective function is the minimization of the maximum possible operating cost (Min-Max). In this paper, this type of PD problem is called a risk-averse PD planning problem and is formulated as a pessimistic mixed-integer bilevel optimization (PMIBO) model from the worst-case point of view. To solve the risk-averse PD planning problem, not yet well solved in literature, a penalty function-based method is presented which transforms the PMIBO model into a series of single-level optimization problems so that the latter ones can be solved by available optimization software. Finally, the feasibility of the proposed model is demonstrated using a set of case-based examples of PD planning.
Zheng, Z, Wei, W, Liu, C, Cao, W, Cao, L & Bhatia, M 2016, 'An effective contrast sequential pattern mining approach to taxpayer behavior analysis', World Wide Web, vol. 19, no. 4, pp. 633-651.
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© 2015, Springer Science+Business Media New York. Data mining for client behavior analysis has become increasingly important in business, however further analysis on transactions and sequential behaviors would be of even greater value, especially in the financial service industry, such as banking and insurance, government and so on. In a real-world business application of taxation debt collection, in order to understand the internal relationship between taxpayers’ sequential behaviors (payment, lodgment and actions) and compliance to their debt, we need to find the contrast sequential behavior patterns between compliant and non-compliant taxpayers. Contrast Patterns (CP) are defined as the itemsets showing the difference/discrimination between two classes/datasets (Dong and Li, 1999). However, the existing CP mining methods which can only mine itemset patterns, are not suitable for mining sequential patterns, such as time-ordered transactions in taxpayer sequential behaviors. Little work has been conducted on Contrast Sequential Pattern (CSP) mining so far. Therefore, to address this issue, we develop a CSP mining approach, eCSP, by using an effective CSP-tree structure, which improves the PrefixSpan tree (Pei et al., 2001) for mining contrast patterns. We propose some heuristics and interestingness filtering criteria, and integrate them into the CSP-tree seamlessly to reduce the search space and to find business-interesting patterns as well. The performance of the proposed approach is evaluated on three real-world datasets. In addition, we use a case study to show how to implement the approach to analyse taxpayer behaviour. The results show a very promising performance and convincing business value.
Zheng, Z, Zhang, H, Yuan, X, Zhang, H, Chen, S, Zhao, Y, Hua, K, Rao, C, Wang, W, Sun, H & Hu, S 2016, 'Response to Letters Regarding Article, “Efficacy of Long-Term β-Blocker Therapy for Secondary Prevention of Long-Term Outcomes After Coronary Artery Bypass Grafting Surgery”', Circulation, vol. 133, no. 6.
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Zheng, Z, Zheng, L & Yang, Y 2016, 'A Discriminatively Learned CNN Embedding for Person Re-identification', ACM Transactions on Multimedia Computing, Communications and Applications, vol. 14, no. 1, pp. 1-20.
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We revisit two popular convolutional neural networks (CNN) in personre-identification (re-ID), i.e, verification and classification models. The twomodels have their respective advantages and limitations due to different lossfunctions. In this paper, we shed light on how to combine the two models tolearn more discriminative pedestrian descriptors. Specifically, we propose anew siamese network that simultaneously computes identification loss andverification loss. Given a pair of training images, the network predicts theidentities of the two images and whether they belong to the same identity. Ournetwork learns a discriminative embedding and a similarity measurement at thesame time, thus making full usage of the annotations. Albeit simple, thelearned embedding improves the state-of-the-art performance on two publicperson re-ID benchmarks. Further, we show our architecture can also be appliedin image retrieval.
Zhong, Q, Khalilpour, R, Vassallo, A & Sun, Y 2016, 'A logic-based geometrical model for the next day operation of PV-battery systems', Journal of Energy Storage, vol. 7, pp. 181-194.
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Zhou, A, Huang, R & Sheng, D 2016, 'Corrigendum: Capillary water retention curve and shear strength of unsaturated soils', Canadian Geotechnical Journal, vol. 53, no. 12, pp. 2086-2086.
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Zhou, A, Huang, R & Sheng, D 2016, 'Capillary water retention curve and shear strength of unsaturated soils', Canadian Geotechnical Journal, vol. 53, no. 6, pp. 974-987.
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This paper proposes a new water retention model for unsaturated soils, which takes into account capillary condensation of adsorbed water. In this model, the degree of saturation of a soil is separated into that based on capillary water and that based on adsorbed water. Through analysis of a partially saturated two-cylinder system, a new shear strength criterion for unsaturated soils is proposed, in which only the degree of saturation based on capillary water contributes to the variation of shear strength with suction. The proposed shear strength criterion is justified against thermodynamic principles and is compared against existing criteria in the literature, which shows that it provides a much improved prediction of the experimental data for a wide range of suction values.
Zhou, A, Liu, M, Li, Z & Dutkiewicz, E 2016, 'Joint Traffic Splitting, Rate Control, Routing, and Scheduling Algorithm for Maximizing Network Utility in Wireless Mesh Networks', IEEE Transactions on Vehicular Technology, vol. 65, no. 4, pp. 2688-2702.
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Zhou, J, Wang, X, Cui, H, Gong, P, Miao, X, Miao, Y, Xiao, C, Chen, F & Feng, D 2016, 'Topology-aware illumination design for volume rendering', BMC Bioinformatics, vol. 17, no. 1.
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Abstract Background Direct volume rendering is one of flexible and effective approaches to inspect large volumetric data such as medical and biological images. In conventional volume rendering, it is often time consuming to set up a meaningful illumination environment. Moreover, conventional illumination approaches usually assign same values of variables of an illumination model to different structures manually and thus neglect the important illumination variations due to structure differences. Results We introduce a novel illumination design paradigm for volume rendering on the basis of topology to automate illumination parameter definitions meaningfully. The topological features are extracted from the contour tree of an input volumetric data. The automation of illumination design is achieved based on four aspects of attenuation, distance, saliency, and contrast perception. To better distinguish structures and maximize illuminance perception differences of structures, a two-phase topology-aware illuminance perception contrast model is proposed based on the psychological concept of Just-Noticeable-Difference. Conclusions The proposed approach allows meaningful and efficient automatic generations of illumination in volume rendering. Our results showed that our approach is more effective in depth and shape depiction, as well as providing higher perceptual differences between structures.
Zhou, L, Merigó, JM, Chen, H & Liu, J 2016, 'The optimal group continuous logarithm compatibility measure for interval multiplicative preference relations based on the COWGA operator', Information Sciences, vol. 328, pp. 250-269.
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The calculation of compatibility measures is an important technique employed in group decision-making with interval multiplicative preference relations. In this paper, a new compatibility measure called the continuous logarithm compatibility, which considers risk attitudes in decision-making based on the continuous ordered weighted geometric averaging (COWGA) operator, is introduced. We also develop a group continuous compatibility model (GCC Model) by minimizing the group continuous logarithm compatibility measure between the synthetic interval multiplicative preference relation and the continuous characteristic preference relation. Furthermore, theoretical foundations are established for the proposed model, such as the sufficient and necessary conditions for the existence of an optimal solution, the conditions for the existence of a superior optimal solution and the conditions for the existence of redundant preference relations. In addition, we investigate certain conditions for which the optimal objective function of the GCC Model guarantees its efficiency as the number of decision-makers increases. Finally, practical illustrative examples are examined to demonstrate the model and compare it with previous methods.
Zhou, S, Huang, T, Ngo, HH, Zhang, H, Liu, F, Zeng, M, Shi, J & Qiu, X 2016, 'Nitrogen removal characteristics of indigenous aerobic denitrifiers and changes in the microbial community of a reservoir enclosure system via in situ oxygen enhancement using water lifting and aeration technology', Bioresource Technology, vol. 214, pp. 63-73.
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© 2016 Elsevier Ltd. Indigenous aerobic denitrifiers of a reservoir system were enhanced in situ by water lifting and aeration technology. Nitrogen removal characteristics and changes in the bacterial community were investigated. Results from a 30-day experiment showed that the TN in the enhanced water system decreased from 1.08-2.02 to 0.75-0.91 mg/L and that TN removal rates varied between 21.74% and 52.54% without nitrite accumulation, and TN removal rate of surface sediments reached 41.37 ± 1.55%. The densities of aerobic denitrifiers in the enhanced system increased. Furthermore, the enhanced system showed a clear inhibition of Fe, Mn, and P performances. Community analysis using Miseq showed that diversity was higher in the in situ oxygen enhanced system than in the control system. In addition, the microbial composition was significantly different between systems. It can be concluded that in situ enhancement of indigenous aerobic denitrifiers is very effective in removing nitrogen from water reservoir systems.
Zhu, H & Abbosh, A 2016, 'Compact tunable bandpass filter with wide tuning range of centre frequency and bandwidth using coupled lines and short‐ended stubs', IET Microwaves, Antennas & Propagation, vol. 10, no. 8, pp. 863-870.
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Zhu, H & Abbosh, AM 2016, 'Modified Wideband Marchand Balun With Tunable Power Division Ratio and Constant Phase', IEEE Microwave and Wireless Components Letters, vol. 26, no. 5, pp. 319-321.
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Zhu, H & Abbosh, AM 2016, 'Single- and Dual-Band Bandpass Filters Using Coupled Stepped-Impedance Resonators With Embedded Coupled-Lines', IEEE Microwave and Wireless Components Letters, vol. 26, no. 9, pp. 675-677.
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Zhu, H & Abbosh, AM 2016, 'Tunable Balanced Bandpass Filter With Wide Tuning Range of Center Frequency and Bandwidth Using Compact Coupled-Line Resonator', IEEE Microwave and Wireless Components Letters, vol. 26, no. 1, pp. 7-9.
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Zhu, H, Abbosh, AM & Guo, L 2016, 'Wideband Four-Way Filtering Power Divider With Sharp Selectivity and Wide Stopband Using Looped Coupled-Line Structures', IEEE Microwave and Wireless Components Letters, vol. 26, no. 6, pp. 413-415.
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A compact wideband four-way filtering PD is presented. The structure of the proposed device includes a pair of looped coupled-line structures to provide the needed power division to four output ports. Moreover, a pair of short-ended coupled-line stubs is used to introduce multiple transmission poles and transmission zeros for a sharp cut-off of the passband and high upper-stopband rejection. A detailed design procedure is shown to determine the initial design parameters. A prototype is designed, simulated and measured experimentally. The measured results show 56.5% bandwidth centered at 1.5 GHz with more than 15 dB upper-stopband rejection up to 4.15 GHz, more than 13 dB in-band isolation, and 15 dB return loss at all output ports.
Zhu, T, Li, G, Zhou, W, Xiong, P & Yuan, C 2016, 'Privacy-preserving topic model for tagging recommender systems', Knowledge and Information Systems, vol. 46, no. 1, pp. 33-58.
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Tagging recommender systems provide users the freedom to explore tags and obtain recommendations. The releasing and sharing of these tagging datasets will accelerate both commercial and research work on recommender systems. However, releasing the original tagging datasets is usually confronted with serious privacy concerns, because adversaries may re-identify a user and her/his sensitive information from tagging datasets with only a little background information. Recently, several privacy techniques have been proposed to address the problem, but most of these lack a strict privacy notion, and rarely prevent individuals being re-identified from the dataset. This paper proposes a privacy- preserving tag release algorithm, PriTop. This algorithm is designed to satisfy differential privacy, a strict privacy notion with the goal of protecting users in a tagging dataset. The proposed PriTop algorithm includes three privacy-preserving operations: Private topic model generation structures the uncontrolled tags; private weight perturbation adds Laplace noise into the weights to hide the numbers of tags; while private tag selection finally finds the most suitable replacement tags for the original tags, so the exact tags can be hidden. We present extensive experimental results on four real-world datasets, Delicious, MovieLens, Last.fm and BibSonomy. While the recommendation algorithm is successful in all the cases, our results further suggest the proposed PriTop algorithm can successfully retain the utility of the datasets while preserving privacy.
Zhu, W 2016, 'Preface', Journal of Computer Science and Technology, vol. 31, no. 6, pp. 1069-1071.
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Zhu, XQ & Law, SS 2016, 'Recent developments in inverse problems of vehicle–bridge interaction dynamics', Journal of Civil Structural Health Monitoring, vol. 6, no. 1, pp. 107-128.
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This paper presents an overview on inverse problems in vehicle–bridge interaction dynamics. Dynamic interaction force exists between a vehicle and a bridge deck when the vehicle moves on top. A thorough understanding of this moving load problem is crucial for the design of bridge and its condition assessment as well as control of overweight vehicle. The identification of moving load is a typical inverse problem with many approaches developed for a solution in recent years. These approaches can be categorized into those based on the analytical model and those formulated with a finite element model with a focus on the solution technique. Structural parameter identification with the moving load as excitation is another kind of inverse problem in the vehicle–bridge dynamics. The moving vehicle is a moving excitation on the bridge structure, and the bridge and/or the vehicle responses can be taken to identify the parameters of the structure as part of the structural condition assessment. These two topics will be reviewed with typical examples and experimental studies to illustrate their performances and limitations, and to highlight future directions in these research areas.
Zhu, Y, Kekalo, K, NDong, C, Huang, Y, Shubitidze, F, Griswold, KE, Baker, I & Zhang, JXJ 2016, 'Magnetic‐Nanoparticle‐Based Immunoassays‐on‐Chip: Materials Synthesis, Surface Functionalization, and Cancer Cell Screening', Advanced Functional Materials, vol. 26, no. 22, pp. 3953-3972.
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The unique properties of magnetic nanoparticles (MNPs), coupled with versatile surface engineering techniques, have led to a rising class of screening methods that enable separation of specific cell populations from complex biological samples. The growing sophistication and efficiency of these methods have far reaching implications for both fundamental research and clinical applications. In this study, the synthesis and surface engineering of MNPs is reviewed. Here, a model is introduced to illustrate how MNP morphology and particle–particle interactions influence magnetization, which is a key consideration in designing and selecting MNPs for efficient cell separations. Building upon these themes, immunomagnetic assays for capturing, isolating, and characterizing rare cell types from complex biological mixtures are reviewed. Although the focus of this study is on circulating tumor cells, these same techniques can be applied in screening for other rare cells of interest, such as various stem cell populations. In conclusion, current challenges and future directions for magnetic ‐nanomaterial‐based cell screening systems are discussed.
Zi, SC, Chandren, S, Yuan, LS, Razali, R, Ho, CS, Hartanto, D, Indra Mahlia, TM & Nur, H 2016, 'New method to synthesize mesoporous titania by photodegradation of surfactant template', Solid State Sciences, vol. 52, pp. 83-91.
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Mesoporous titania has been successfully synthesized by photodegradation removal of cetyltrimethylammonium bromide as the surfactant, after slow hydrolyzation of titanium(IV) isopropoxide. Fourier transform infrared spectra proved that photodegradation has successfully decreased the peak areas of the alkyl groups from the template. The nitrogen adsorption analysis showed that the pore size and the specific surface area of the mesoporous titania were 3.7 nm and 203 m2 g-1, respectively, proving the mesoporosity of the titania obtained with the existence of the interparticle mesoporosity which was confirmed by transmission electron microscopy. Based on X-ray diffraction results, the mesoporous titania obtained was in the form of crystalline anatase phase. Furthermore, results from the diffuse reflectance ultra violet-visible spectra showed that the composition of tetrahedral titanium(IV) was more than the octahedral titanium(IV). When the mesoporous titania obtained was used as a catalyst in the oxidation of styrene, an improvement in the conversion of styrene (38%) was observed when compared to those obtained using Degussa P25 TiO2 (14%) as the catalyst.
Zowghi, D & Gervasi, V 2016, 'Introduction to the special issue of best papers from RE2015 conference', Requirements Engineering, vol. 21, no. 3, pp. 309-310.
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Zulkifli, NWM, Azman, SSN, Kalam, MA, Masjuki, HH, Yunus, R & Gulzar, M 2016, 'Lubricity of bio-based lubricant derived from different chemically modified fatty acid methyl ester', Tribology International, vol. 93, pp. 555-562.
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Abbas, SM, Ranga, Y, Esselle, KP & Hay, SG 1970, 'Recent developments in antennas with full ground planes for Wireless Body Area Networks (Invited Paper)', 2015 International Symposium on Antennas and Propagation, ISAP 2015, International Symposium on Antennas and Propagation (ISAP), IEEE, Hobart, AUSTRALIA.
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This paper highlights recent developments in antennas with full ground planes, which have been designed for Wireless Body Area Networks (WBANs). These antennas are designed to provide single/dual band operation in 2.4GHz industrial, scientific and medical (ISM) band and 4.9GHz public safety wireless local area network (WLAN)/5GHz IEEE 802.11 WLAN bands. They have significant advantages of compactness, wide radiation pattern over the body surface, and less sensitivity to the variation of the gap between the antenna and the human body. These advantages make them suitable for on-body communications and wearable applications.
Abdo, P, Fardoun, F & Huynh, P 1970, 'Estimation of the total fatigue life of metallic structures', Proceedings of the ASME Design Engineering Technical Conference, ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), ASME, Charlotte, NC, USA.
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The fatigue life of a component is defined as the total number of cycles or time to induce fatigue damage and to initiate a dominant fatigue flaw which is propagated to final failure. (Shigley & Mischke 2002) The aim of this project is to calculate the total fatigue life of metallic structures under cyclic loading by applying equations found by Basquin and Manson-Coffin. The local stresses and strains necessary for the calculation are determined by the finite element method. Former studies concerning this subject have used analytical methods to find the local conditions at the critical section. The analytical methods, based on Neuber and Molski-Glinka's approaches, permit the calculation of the local stresses and strains at the critical section of the structure's geometry as a function of the nominal stress (forces) applied. For the finite elements method, ABAQUS is used to determine the local conditions at the critical section of a T-shaped model
Abdo, P, Huynh, BP, Avakian, V, Nguyen, T, Gammon, J, Torpy, FR & Irga, PJ 1970, 'Measurement of air flow through a green-wall module', Proceedings of the 20th Australasian Fluid Mechanics Conference, AFMC 2016, Australasian Fluid Mechanics Conference, Australasian Fluid Mechanics Society, Perth.
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© 2006 Australasian Fluid Mechanics Society. All rights reserved. Green or living walls are active bio-filters developed to enhance air quality. Often, these walls form the base from which plants are grown; and the plant-wall system helps to remove both gaseous and particulate air pollutants. A green wall can be found indoors as well as outdoors, and could be assembled from modules in an arrangement similar to tiling. Measurement of air flow through such a module has been conducted in this work. The module is essentially a rectangular plastic box (dimensions about 500 mm x 500 mm x 130 mm) that holds a permeable bag containing a plant-growing medium (replacement for soil). The front face of the module has multiple openings for plants to protrude out from the bag inside. Plant roots are imbedded in the medium. A fan positioned at a central opening on the module‟s back face drives air through the medium-plant-roots mix and then onward through the plants‟ canopy; and these would help to remove both gaseous and particulate pollutants from the air. Drip-irrigation water is dispensed from a tube running along the open top-face of the module. The module has also a small drainage hole on its bottom face. Pressure drop across the module, air-flow distribution through it as well as flow rate have been obtained, in terms of variable parameters which include moisture content, growing-medium-plant-roots mix and plant type. The measurements help to determine the pattern of flow resistances which in turn will be used in a future CFD (Computational Fluid Dynamics) analysis for improving the design of the module, such that more appropriate flow distribution and flow rate would be achieved. All this is in addition to the better understanding of air flow through complex moist porous media.
Abdullaev, S, McBurney, P & Musial, K 1970, 'Pricing options with portfolio-holding trading agents in direct double auction', Frontiers in Artificial Intelligence and Applications, 22nd European Conference on Artificial Intelligence (ECAI), IOS PRESS, Hague, NETHERLANDS, pp. 1754-1755.
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Options constitute integral part of modern financial trades, and are priced according to the risk associated with buying or selling certain asset in future. Financial literature mostly concentrates on risk-neutral methods of pricing options such as Black-Scholes model. However, it is an emerging field in option pricing theory to use trading agents with utility functions to determine the option's potential payoff for the agent. In this paper, we use one of such methodologies developed by Othman and Sandholm to design portfolio-holding agents that are endowed with popular option portfolios such as bullish spread, butterfly spread, straddle, etc to price options. Agents use their portfolios to evaluate how buying or selling certain option would change their current payoff structure, and form their orders based on this information. We also simulate these agents in a multi-unit direct double auction. The emerging prices are compared to risk-neutral prices under different market conditions. Through an appropriate endowment of option portfolios to agents, we can also mimic market conditions where the population of agents are bearish, bullish, neutral or non-neutral in their beliefs.
Abdulle, A, Tan, AA, Pradhan, B & Abdullahi, S 1970, 'Temporal assessment on land use land cover of Somalia after the effect of the civil war using remote sensing', IOP Conference Series: Earth and Environmental Science, IOP Publishing, pp. 012063-012063.
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Abeywardena, D, Shoudong Huang, Barnes, B, Dissanayake, G & Kodagoda, S 1970, 'Fast, on-board, model-aided visual-inertial odometry system for quadrotor micro aerial vehicles', 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Stockholm, Sweden, pp. 1530-1537.
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© 2016 IEEE. The main contribution of this paper is a high frequency, low-complexity, on-board visual-inertial odometry system for quadrotor micro air vehicles. The system consists of an extended Kalman filter (EKF) based state estimation algorithm that fuses information from a low cost MEMS inertial measurement unit acquired at 200Hz and VGA resolution images from a monocular camera at 50Hz. The dynamic model describing the quadrotor motion is employed in the estimation algorithm as a third source of information. Visual information is incorporated into the EKF by enforcing the epipolar constraint on features tracked between image pairs, avoiding the need to explicitly estimate the location of the tracked environmental features. Combined use of the dynamic model and epipolar constraints makes it possible to obtain drift free velocity and attitude estimates in the presence of both accelerometer and gyroscope biases. A strategy to deal with the unobservability that arises when the quadrotor is in hover is also provided. Experimental data from a real-time implementation of the system on a 50 gram embedded computer are presented in addition to the simulations to demonstrate the efficacy of the proposed system.
Abidi, S, Piccardi, M & Williams, M-A 1970, 'Static action recognition by efficient greedy inference', 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, Lake Placid, NY, USA, pp. 1-8.
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© 2016 IEEE. Action recognition from a single image is an important task for applications such as image annotation, robotic navigation, video surveillance and several others. Existing methods for recognizing actions from still images mainly rely on either bag-of-feature representations or pose estimation from articulated body-part models. However, the relationship between the action and the containing image is still substantially unexplored. Actually, the presence of given objects or specific backgrounds is likely to provide informative clues for the recognition of the action. For this reason, in this paper we propose approaching action recognition by first partitioning the entire image into superpixels, and then using their latent classes as attributes of the action. The action class is predicted based on a graphical model composed of measurements from each superpixel and a fully-connected graph of superpixel classes. The model is learned using a latent structural SVM approach, and an efficient, greedy algorithm is proposed to provide inference over the graph. Differently from most existing methods, the proposed approach does not require annotation of the actor (usually provided as a bounding box). Experimental results over the challenging Stanford 40 Action dataset have reported an impressive mean average precision of 72.3%, the highest achieved to date.
Adak, C, Chaudhuri, BB & Blumenstein, M 1970, 'Named Entity Recognition from Unstructured Handwritten Document Images', 2016 12th IAPR Workshop on Document Analysis Systems (DAS), 2016 12th IAPR Workshop on Document Analysis Systems (DAS), IEEE, Santorini, Greece, pp. 375-380.
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© 2016 IEEE.Named entity recognition is an important topic in the field of natural language processing, whereas in document image processing, such recognition is quite challenging without employing any linguistic knowledge. In this paper we propose an approach to detect named entities (NEs) directly from offline handwritten unstructured document images without explicit character/word recognition, and with very little aid from natural language and script rules. At the preprocessing stage, the document image is binarized, and then the text is segmented into words. The slant/skew/baseline corrections of the words are also performed. After preprocessing, the words are sent for NE recognition. We analyze the structural and positional characteristics of NEs and extract some relevant features from the word image. Then the BLSTM neural network is used for NE recognition. Our system also contains a post-processing stage to reduce the true NE rejection rate. The proposed approach produces encouraging results on both historical and modern document images, including those from an Australian archive, which are reported here for the very first time.
Adak, C, Chaudhuri, BB & Blumenstein, M 1970, 'Offline Cursive Bengali Word Recognition Using CNNs with a Recurrent Model', 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), 2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), IEEE, Shenzhen, China, pp. 429-434.
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© 2016 IEEE. This paper deals with offline handwritten word recognition of a major Indic script: Bengali. Due to the structure of this script, the characters (mostly ortho-syllables) are frequently overlapping and hard to segment, especially when the writing is cursive. Individual character recognition and the combination of outputs can increase the likelihood of errors. Instead, a better approach can be sending the whole word to a suitable recognizer. Here we use the Convolutional Neural Network (CNN) integrated with a recurrent model for this purpose. Long short-term memory blocks are used as hidden units. Also, the CNN-derived features are employed in a recurrent model with a CTC (Connectionist Temporal Classification) layer to get the output. We have tested our method on three datasets: (a) a publicly available dataset, (b) a new dataset generated by our research group and (c) an unconstrained dataset. The dataset (a) contains 17,091 words, while our dataset (b) contains 107,550 number of words in total. In addition to these, the dataset (c) is comprised of 5,223 words. We have compared our results with those of some earlier work in the area and have found improved performance, which is due to the novel integration of CNNs with the recurrent model.
Adak, C, Chaudhuri, BB & Blumenstein, M 1970, 'Writer identification by training on one script but testing on another', 2016 23rd International Conference on Pattern Recognition (ICPR), 2016 23rd International Conference on Pattern Recognition (ICPR), IEEE, Mexico, pp. 1153-1158.
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© 2016 IEEE. This paper deals with identifying a writer from his/her offline handwriting. In a multilingual country where a writer can scribe in multiple scripts, writer identification becomes challenging when we have individual handwriting data in one script while we need to verify/identify a writer from handwriting in another script. In this paper such an issue is addressed with two scripts: English and Bengali. Here we model the task as a classification problem, where training data contains only Bengali handwritten samples and testing is performed on English handwritten texts. This work is based on the understanding that a writer has some inherent stroke characteristics that are independent of the script in which (s)he writes. In this work, some implicit structural and statistical features are extracted, and multiple classifiers are employed for writer identification. Many training sessions are run on a database of 100 writers and the performances are analyzed. We have obtained encouraging results on this database, which show the effectiveness of our method.
Afzal, MU & Esselle, KP 1970, 'A low profile flat perforated dielectric beam focusing structure for electromagnetic bandgap resonator antennas', 2016 IEEE 2nd Australian Microwave Symposium (AMS), 2016 IEEE 2nd Australian Microwave Symposium (AMS), IEEE, IEEE MTT S, Adelaide, AUSTRALIA, pp. 31-32.
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Afzal, MU & Esselle, KP 1970, 'A planar low-profile transverse permittivity gradient phase correcting structure for electromagnetic bandgap resonator antennas', 2016 IEEE International Symposium on Antennas and Propagation (APSURSI), 2016 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, IEEE, Fajardo, PR, pp. 1919-1920.
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Afzal, MU & Esselle, KP 1970, 'Comparative study and analysis of high permittivity and low permittivity continuous phase correcting structures for EBG resonator antennas', 2015 International Symposium on Antennas and Propagation, ISAP 2015, International Symposium on Antennas and Propagation (ISAP), IEEE, Hobart, AUSTRALIA.
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This paper presents low-profile continuous phase correcting structures (PCS) for conventional electromagnetic bandgap resonator antennas (ERAs). This PCS has been implemented using a relative high-permittivity-dielectric material and is compared with a low-permittivity Rexolite PCS reported previously. The use of high permittivity materials is not advisable for the PCS design as it increases reflections from the input surface of the PCS; a PCS is supposed to be highly transmitting structure. However, it was found that if a high-permittivity-dielectric PCS is placed above ERA with a proper spacing then high reflections can be used to an advantage. Overall peak directivity of an ERA with TMM4 PCS is 1 dB more than that of the Rexolite PCS along with 44% reduced height profile.
Afzal, MU & Esselle, KP 1970, 'Radiation performance and profile comparison of all-dielectric phase-corrected electromagnetic bandgap resonator antennas and hyperbolic lens antennas', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, AUSTRALIA, pp. 704-707.
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Afzal, MU & Esselle, KP 1970, 'Sometimes phase correction does not increase directivity of electromagnetic bandgap resonator antennas - a case study', 2016 URSI Asia-Pacific Radio Science Conference (URSI AP-RASC), 2016 URSI Asia-Pacific Radio Science Conference (URSI AP-RASC), IEEE, Seoul, SOUTH KOREA, pp. 20-23.
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Aghdam, MM, Li, L & Zhu, J 1970, 'A model predictive control of parallel inverters for distributed generations in microgrids', 2016 IEEE International Conference on Power System Technology (POWERCON), 2016 IEEE International Conference on Power System Technology (POWERCON), IEEE, Wollongong, Australia.
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© 2016 IEEE. Nowadays, microgrid concept has been counted as an effective approach to incorporating distributed renewable resources in distribution networks. Though, the power flow control to share the loads among distributed generations is still an essential focus, specifically under peak demands. This paper focuses on a predictive power flow control method for parallel inverters of distributed generations in microgrids. The microgrid under this case study will operate in the grid-Tied mode with appropriate power sharing capability among parallel distributed generations and the main grid. In comparison to the conventional voltage and frequency droop control, the proposed model predictive control approach has shown the better performance, which is verified by the Matlab/Simulink simulation.
Aghdam, MM, Li, L & Zhu, J 1970, 'A model predictive power control method with longer prediction horizon for distributed power generations', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE, Phuket, Thailand.
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© 2016 IEEE. The model predictive control method can be effective for converter control in distributed power generation but requires a large amount of computation, leading to a considerable time delay in the actuation. If the delay is not reflected, the system performance could get worse. This paper presents a two-step (horizon) prediction algorithm of model predictive control technique for grid-tied inverters used in wind turbine systems. The control objectives such as active and reactive power flow and switching loss reduction are reflected in the objective function of the controller. The proposed model predictive control strategy is verified numerically by using MATLAB/Simulink.
Aghdam, MM, Li, L, Zhu, J & Palizban, O 1970, 'Finite control set model predictive control-a powerful control algorithm for grid-connected power converters', 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), IEEE, Hefei, China, pp. 2350-2355.
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© 2016 IEEE. This paper presents a detailed description of Finite Control Set Model Predictive Control applied to power converters. Some key features related to this methodology are presented and compared with model predictive control based space vector modulation methods. The basic models, principles, control diagrams, and simulation results are presented to provide a comparison between them. The analysis is performed on a three-phase/ two-level voltage source inverter, which is one of the most common converter topologies used in industry. Among the conclusions are the feasibility and great potential of Finite Control Set Model Predictive Control due to the advanced signal-processing capability, particularly for power systems with a reduced number of switching states and more complicated principles.
Agrawal, A, Cabrera-Espana, FJ, Oates, A & Reehal, H 1970, 'Hut-like pillar Si solar cells', 2016 Conference on Lasers and Electro-Optics, CLEO 2016.
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This paper introduces an exciting new hut-like texturing pattern that shows lower Reflectance than pyramids and nanowires in the shorter and longer wavelengths respectively.
Ahadi, A, Behbood, V, Vihavainen, A, Prior, J & Lister, R 1970, 'Students' Syntactic Mistakes in Writing Seven Different Types of SQL Queries and its Application to Predicting Students' Success', Proceedings of the 47th ACM Technical Symposium on Computing Science Education, SIGCSE '16: The 47th ACM Technical Symposium on Computing Science Education, ACM, Memphis, Tennessee, pp. 401-406.
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© 2016 ACM. The computing education community has studied extensively the errors of novice programmers. In contrast, little attention has been given to student's mistake in writing SQL statements. This paper represents the first large scale quantitative analysis of the student's syntactic mistakes in writing different types of SQL queries. Over 160 thousand snapshots of SQL queries were collected from over 2000 students across eight years. We describe the most common types of syntactic errors that students make. We also describe our development of an automatic classifier with an overall accuracy of 0.78 for predicting student performance in writing SQL queries.
Ahadi, A, Lister, R & Vihavainen, A 1970, 'On the Number of Attempts Students Made on Some Online Programming Exercises During Semester and their Subsequent Performance on Final Exam Questions', Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE '16: Innovation and Technology in Computer Science Education Conference 2016, ACM, Arequipa, Peru, pp. 218-223.
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This paper explores the relationship between student performance on online programming exercises completed during semester with subsequent student performance on a final exam. We introduce an approach that combines whether or not a student produced a correct solution to an online exercise with information on the number of attempts at the exercise submitted by the student. We use data collected from students in an introductory Java course to assess the value of this approach. We compare the approach that utilizes the number of attempts to an approach that simply considers whether or not a student produced a correct solution to each exercise. We found that the results for the method that utilizes the number of attempts correlates better with performance on a final exam.
Ahadi, A, Prior, J, Behbood, V & Lister, R 1970, 'Students' Semantic Mistakes in Writing Seven Different Types of SQL Queries', Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, ITiCSE '16: Innovation and Technology in Computer Science Education Conference 2016, ACM, Peru.
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Ahmed, F, Chowdhury, MHM & Hasan, N 1970, 'A Compact Multiband Antenna for 4G/LTE and WLAN Mobile Phone Applications', 2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), IEEE, Military Inst Sci & Technol, Dhaka, BANGLADESH.
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Alaei, A, Conte, D, Blumenstein, M & Raveaux, R 1970, 'Document Image Quality Assessment Based on Texture Similarity Index', 2016 12th IAPR Workshop on Document Analysis Systems (DAS), 2016 12th IAPR Workshop on Document Analysis Systems (DAS), IEEE, Santorini, Greece, pp. 132-137.
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© 2016 IEEE.In this paper, a full reference document image quality assessment (FR DIQA) method using texture features is proposed. Local binary patterns (LBP) as texture features are extracted at the local and global levels for each image. For each extracted LBP feature set, a similarity measure called the LBP similarity index (LBPSI) is computed. A weighting strategy is further proposed to improve the LBPSI obtained based on local LBP features. The LBPSIs computed for both local and global features are then combined to get the final LBPSI, which also provides the best performance for DIQA. To evaluate the proposed method, two different datasets were used. The first dataset is composed of document images, whereas the second one includes natural scene images. The mean human opinion scores (MHOS) were considered as ground truth for performance evaluation. The results obtained from the proposed LBPSI method indicate a significant improvement in automatically/accurately predicting image quality, especially on the document image-based dataset.
Alaei, F, Alaei, A, Blumenstein, M & Pal, U 1970, 'A brief review of document image retrieval methods: Recent advances', 2016 International Joint Conference on Neural Networks (IJCNN), 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, Vancouver, CANADA, pp. 3500-3507.
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© 2016 IEEE.Due to the rapid increase of different digitized documents, the development of a system to automatically retrieve document images from a large collection of structured and unstructured document images is in high demand. Many techniques have been developed to provide an efficient and effective way for retrieving and organizing these document images in the literature. This paper provides an overview of the methods which have been applied for document image retrieval over recent years. It has been found that from a textual perspective, more attention has been paid to the feature extraction methods without using OCR.
Alaei, F, Alaei, A, Blumenstein, M & Pal, U 1970, 'Document image retrieval based on texture features and similarity fusion', 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), IEEE, Palmerston North, New Zealand, pp. 1-6.
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© 2016 IEEE. In this paper we investigate the usefulness of two different texture features along with classification fusion for document image retrieval. A local binary texture method, as a statistical approach, and a wavelet analysis technique, as a transform-based approach, are used for feature extraction and two feature vectors are obtained for every document image. The similarity distances between each of the two feature vectors extracted for a given query and the feature vectors extracted from the document images in the training step are computed separately. In order to use the properties of both features, a classifier fusion technique is then employed using a weighted average fusion of distance measures obtained in relation to each feature vector. The document images are finally ranked based on the greatest visual similarity to the query obtained from the fusion similarity measures. The Media Team Document Database, which provides a great variety of page layouts and contents, is considered for evaluating the proposed method. The results obtained from the experiments demonstrate a correct document retrieval of 65.4% and 91.8% in the Top-1 and Top-10 ranked document list, respectively.
Alaei, F, Alaei, A, Pal, U & Blumenstein, M 1970, 'Document Image Retrieval Based on Texture Features: A Recognition-Free Approach', 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, Gold Coast, Australia, pp. 1-7.
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© 2016 IEEE.The tendency of current technology is towards a paperless world. Due to the rapid increase of digitized documents, providing a fast and easy method for retrieval is in high demand. The aim of this paper is to examine the effectiveness of texture features for document image retrieval. Thus, segmentation-free document image retrieval using a binary texture method is proposed. In the proposed approach, local features are extracted, local grey-level structures are summarised, and their distribution is characterised using global features. The assumption is that texture properties in the text regions and non-text regions of the document images are different. This assumption is used to rank the available document images and retrieve only those, which have greatest visual similarity to a given query. The under-sampled image and sub-images of the original image are further considered to improve the retrieval results, which are up to 76.0% in the first ranking and 96.2% in the Top-10 ranking. The Media Team Oulu Document Database, which is a heterogeneous database that offers a great variety of page layouts and contents, is used for experimentation.
Alambeigi, P, Zhao, S, Burry, J & Qiu, X 1970, 'Complex human auditory perception and simulated sound performance prediction', CAADRIA proceedings, CAADRIA 2016: Living Systems and Micro-Utopias - Towards Continuous Designing, CAADRIA, Hong Kong, China, pp. 631-640.
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© 2016, The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), Hong Kong. This paper reports an investigation into the degree of consistency between three different methods of sound performance evaluation through studying the performance of a built project as a case study. The non-controlled office environment with natural human speech as a source was selected for the subjective experiment and ODEON room acoustics modelling software was applied for digital simulation. The results indicate that although each participant may interpret and perceive sound in a particular way, the simulation can predict this complexity to some extent to help architects in designing acoustically better spaces. Also the results imply that architects can make valid comparative evaluations of their designs in an architecturally intuitive way, using architectural language. The research acknowledges that complicated engineering approaches to subjective analysis and to controlling the test environment and participants is difficult for architects to comprehend and implement.
Alamdari, MM, Khoa, NLD, Runcie, P, Li, J & Mustapha, S 1970, 'Characterization of gradually evolving structural deterioration in jack arch bridges using support vector machine', Maintenance, Monitoring, Safety, Risk and Resilience of Bridges and Bridge Networks - Proceedings of the 8th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2016, pp. 2322-2327.
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The main objective of structural health monitoring is to provide reliable information about the health state of the critical structures by implementing a damage characterization strategy to detect the presence of damage, location, severity as possibly failure prediction as soon as the damage occurs. This paper presents a robust approach to detect and characterize a gradually evolving damage based on time responses data captured from a steel reinforced concrete structure. The presented method is in the context of unsupervised and nonmodel-based approaches, hence, there is no need for any representative numerical/finite element model of the structure to be built. In this work, we propose one-class support vector machine as an anomaly detection method. One-class support vector machine fits well for damage diagnosis in structural health monitoring since there may exist many damaged patterns and one-class support vector machine can detect all of them as anomalies. To demonstrate the feasibility of the method in the detection and assessment of a gradually evolving deterioration, a test bed was established to replicate a concrete jack arch which is a main structural component on the Sydney Harbour Bridge – one of Australia’s iconic structures. The structure is a concrete cantilever beam with an arch section which is located on the eastern side of the bridge underneath the bus lane. It is assumed that the structure is subjected to Gaussian white noise excitation. A crack is introduced in the structure using a cutting saw and its length is progressively increased in four stages while the depth was constant; these four damage cases correspond to less than 0.5% reduction in the first three modes of the structure. The damage identification results using the presented approach demonstrated the feasibility of applying support vector machine as a learning technique for damage characterization in structural health monitoring. The method accurately separated two states ...
Alammari, A & Chandran, D 1970, 'Knowledge-sharing adoption in Saudi Universities' E-learning communities', AMCIS 2016: Surfing the IT Innovation Wave - 22nd Americas Conference on Information Systems, Twenty-Second Americas Conference on Information Systems 2016, San Diego, California.
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Technology revolution in recent years has increased the demand for the provision of e-learning. However, academic staff lack the knowledge-sharing attitude in e-learning communities. The aim of this research is to investigate the various factors of knowledge-sharing adoption for e-learning communities in Saudi Arabia. Therefore, a framework aimed at sharing knowledge within the e-learning communities is developed. Data has been collected from public universities in Saudi Arabia. Partial Least Square approach has been applied to analyse the data. The results shows knowledge-sharing individual factors (such as openness in communication, interpersonal trust), technology acceptance factors (perceived usefulness and perceived ease of use) significantly influence knowledge-sharing attitude while the relationship between people self-motivation and knowledge-sharing attitude is insignificant. Among other factors, subjective norm and attitude significantly impact behavioural intention toward knowledgesharing adoption in Saudi universities' e-learning communities.
Alattas, M, Kang, K & Sohaib, O 1970, 'Impact Factors for Business System Success.', PACIS, Pacific Asia Conference on Information Systems, PACIS, Taiwan, pp. 222-222.
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In most organizations, knowledge sharing is often lacking when it comes to business systems success. This paper investigates factors affecting business systems success in Saudi organisations. Data were collected from private organisations in Saudi Arabia and Partial Least Square approach has been applied to analyse the data. The results show that organisational culture influence knowledge sharing towards business systems success. In addition, both intrinsic motivation and perceived usefulness has positive influence on business system success. This indicates that business system success is built upon the concept of knowledge sharing and user motivation.
Albahrani, SA, Parker, A, Town, G, Heimlich, M, Schwitter, B & Mahon, S 1970, 'Characterization of Trapping in a GaN HEMT by Performing Isothermal Three-Stage Pulse Measurements', 2016 11TH EUROPEAN MICROWAVE INTEGRATED CIRCUITS CONFERENCE (EUMIC), 11th European Microwave Integrated Circuits Conference (EuMIC), IEEE, London, ENGLAND, pp. 165-168.
Albahrani, SA, Parker, A, Town, G, Heimlich, M, Schwitter, B & Mahon, S 1970, 'Characterization of trapping in a GaN HEMT by performing isothermal three-stage pulse measurements', 2016 11th European Microwave Integrated Circuits Conference (EuMIC), 2016 11th European Microwave Integrated Circuits Conference (EuMIC), IEEE.
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Albanese, B, Meredith, L, Whyte, T, Gibson, T, De Rome, L, Fitzharris, M, Baldock, M & Brown, J 1970, 'Energy attenuation performance of impact protection for motorcyclists', 2016 IRCOBI Conference Proceedings - International Research Council on the Biomechanics of Injury, pp. 507-508.
Aldebei, K, He, X, Jia, W & Yang, J 1970, 'Unsupervised Multi-Author Document Decomposition Based on Hidden Markov Model', Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics, Berlin, Germany, pp. 706-714.
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© 2016 Association tor Computational Linguistics. This paper proposes an unsupervised approach for segmenting a multiauthor document into authorial components. The key novelty is that we utilize the sequential patterns hidden among document elements when determining their authorships. For this purpose, we adopt Hidden Markov Model (HMM) and construct a sequential probabilistic model to capture the dependencies of sequential sentences and their authorships. An unsupervised learning method is developed to initialize the HMM parameters. Experimental results on benchmark datasets have demonstrated the significant benefit of our idea and our approach has outperformed the state-of-the-arts on all tests. As an example of its applications, the proposed approach is applied for attributing authorship of a document and has also shown promising results.
Al-Doghman, F, Chaczko, Z, Ajayan, AR & Klempous, R 1970, 'A review on Fog Computing technology', 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, Budapest, Hungary, pp. 1525-1530.
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© 2016 IEEE. Out of the many computing and software oriented models that are being adopted by Computer Networking, Fog Computing has captured quite a wide audience in Research and Industry. There is a lot of confusion on its precise definition, position, role and application. The Internet of Things (IOT), todays' digitized intelligent connectivity domain, demands real time response in many applications and services. This renders Fog Computing a suitable platform for achieving goals of autonomy and efficiency. This paper is a justification of the concepts, interest, approaches, and practices of Fog Computing. It describes the need for adopting this new model and investigate its prime features by elucidating the scenarios for implementing it, thereby outlining its significance in the IoT world.
Aleidi, AI & Chandran, D 1970, 'Social factors and women technology entrepreneurs in Saudi Arabia', Proceedings of the 28th International Business Information Management Association Conference - Vision 2020: Innovation Management, Development Sustainability, and Competitive Economic Growth, International Business Information Management, International Business Information Management Association, Seville, Spain, pp. 1346-1353.
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The importance of entrepreneurship has been increasingly acknowledged as a source of growth, and national economic development. Recently, women entrepreneurship has been a topic of concern and interest for scholars and researchers. Also, it has been a considerable matter for public policies and government strategies. There are many entrepreneurship initiatives that have been made by the government of Saudi Arabia to enhance contributions of women to the workforce and economic sector, as their role has been non-existent for a long period of time. However, women involvement in these initiatives is nascent with a limited entrepreneurship rate. This study focuses on identifying social factors that have influenced women entrepreneurship. Saudi women to become entrepreneurs from within the context of technology in the literature of entrepreneurship have not existed. Therefore, the present study aims to fill that gap of knowledge and contribute substantially to understand technology-based entrepreneurship within the context of Saudi women.
Alfaro-Garcia, VG, Gil-Lafuente, AM & Merigo, JM 1970, 'Induced generalized ordered weighted logarithmic aggregation operators', 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Athens, Greexe, pp. 1-7.
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© 2016 IEEE. We present the induced generalized ordered weighted logarithmic aggregation (IGOWLA) operator. It is an extension of the generalized ordered weighted logarithmic aggregation (GOWLA) operator. The IGOWLA operator uses order-induced variables that modify the reordering mechanism of the arguments to be aggregated. The main advantage of the induced process is the consideration of the complex attitude of the decision makers. We study some properties of the IGOWLA operator, such as idempotency, commutativity, boundedness and monotonicity. Finally we present an illustrative example of a group decision-making procedure using a multi-person analysis and the IGOWLA operator in the area of innovation management.
Al-Fatlawi, AH, Jabardi, MH & Ling, SH 1970, 'Efficient diagnosis system for Parkinson's disease using deep belief network', 2016 IEEE Congress on Evolutionary Computation (CEC), 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE, Piscataway, USA, pp. 1324-1330.
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In this paper, a deep belief network (DBN) has been adopted as an efficient technique to diagnosis the Parkinson's disease (PD). This diagnosis has been established based on the speech signal of the patients. Through the distinguishing and analyzing of the speech signal, the DBN has the ability to diagnose Parkinson's disease. To realize the diagnosis of Parkinson's disease by using DBN, the proposed system has been trained and tested with voices from a number of patients and healthy people. A feature extraction process has been prepared to be inputted to the deep belief network (DBN) which is used to create a template matching of the voices. In this paper, DBN is used to classify the Parkinson's disease which composes two stacked Restricted Boltzmann Machines (RBMs) and one output layer. Two stages of learning need to be applied to optimize the networks' parameters. The first stage is unsupervised learning which uses RBMs to overcome the problem that can cause because of the random value of the initial weights. Secondly, backpropagation algorithm is used as a supervised learning for the fine tuning. To illustrate the effectiveness of the proposed system, the experimental results are compared with different approaches and related works. The overall testing accuracy of the proposed system is 94% which is better than all of the compared methods. In short, the DBN is an effective method to diagnosis Parkinson's disease by using the speech signal.
Alharbi, A, Kang, K & Sohaib, O 1970, 'Citizens Engagement in E-Participation on Egovernemnt Websites through SWAT Model: a Case of Saudi Arabia.', PACIS, Pacific Asia Conference on Information Systems, PACIS, Taiwan, pp. 360-360.
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E-government aims to deliver extensive and timely public services to citizens through the use of information and communication technologies in government such as e-participation. In particular, despite the growing importance of e-government in Saudi Arabia, no attention has been given to investigate the factors that may influence the adoption of e-participation. This study examines the factors influencing citizens' intention to engage in e-participation on Saudi e-government websites. The study used responses obtained from Saudi citizens. The data of the survey were analysed using Partial Least Square (PLS) approach. The results indicated that the key factors SWAT (Subjective norm, Website design, Attitude, Trust) has a significant impact on citizens' intention to engage in eparticipation.
Ali, A & Lee, JE-Y 1970, 'Fully-differential AlN-on-Si wine glass mode resonator for enhanced characterization in water', 2016 IEEE SENSORS, 2016 IEEE SENSORS, IEEE.
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Ali, A & Lee, JE-Y 1970, 'On-chip Feedthrough Cancellation Technique for Enhanced Electrical Characterization of a Piezoelectric MEMS Resonator in Water', Procedia Engineering, Elsevier BV, pp. 1573-1576.
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Ali, A & Lee, JE-Y 1970, 'Square-extensional mode piezoelectric-on-silicon resonator for physical measurements of liquids', 2016 IEEE International Frequency Control Symposium (IFCS), 2016 IEEE International Frequency Control Symposium (IFCS), IEEE.
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Alkalbani, AM, Ghamry, AM, Hussain, FK & Hussain, OK 1970, 'Predicting the sentiment of SaaS online reviews using supervised machine learning techniques', 2016 International Joint Conference on Neural Networks (IJCNN), 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, Vancouver, CANADA, pp. 1547-1553.
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© 2016 IEEE.There has been a dramatic increase in the sharing of opinions and information across different web platforms and social media, especially online product reviews. Cloud web portals, such as getApp.com, were designed to amalgamate cloud service information and to also examine how consumers evaluate their experience of using cloud computing products. The current literature shows the growing importance of online users' reviews, hence this study focuses on investigating consumers' feedback on Software-as-a-Service (SaaS) products by developing models to predict reviewers' attitudes. The goal of this paper is to develop prediction models to predict the sentiment of SaaS consumers' reviews (positive or negative). This research proposes five models that are based on five algorithms, the Support Vector Machine algorithm, Naive Bayes algorithm, Naive Bayes (Kernel) algorithm, k-nearest neighbors algorithm, and the decision tree algorithm to predict the attitude of SaaS reviews. The prediction accuracy of the space vector algorithm (5-fold cross-validation) is 92.37% which suggests that this algorithm is able to better determine the sentiment of online reviews compared with the other models. The results of this study provide valuable insight into online SaaS reviews and will assist in the design of SaaS review websites.
Alkalbani, AM, Ghamry, AM, Hussain, FK & Hussain, OK 1970, 'Sentiment Analysis and classification for Software as a Service Reviews', IEEE 30TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS IEEE AINA 2016, International Conference on Advanced Information Networking and Applications (was ICOIN), IEEE, Crans-Montana, Switzerland, pp. 53-58.
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© 2016 IEEE.With the rapid growth of cloud services, there has been a significant increase in the number of online consumer reviews and opinions on these services on different social media platforms. These reviews are a source of valuable information in regard to cloud market position and cloud consumer satisfaction. This study explores cloud consumers' reviews that reflect the user's experience with Software as a Service (SaaS) applications. The reviews were collected from different web portals, and around 4000 online reviews were analysed using sentiment analysis to identify the polarity of each review, that is, whether the sentiment being expressed is positive, negative, or neutral. Also, this research develops a model for predicting the sentiment of Software as a Service consumers' reviews using a supervised learning machine called a support vector machine (SVM). The sentiment results show that 62% of the reviews are positive which indicates that consumers are most likely satisfied with SaaS services. The results show that the prediction accuracy of the SVM-based Binary Occurrence approach (3-fold crossvalidation testing) is 92.30%, indicating it performs better in determining sentiment compared with other approaches (Term Occurrences, TFIDF). This work also provides valuable insight into online SaaS reviews and offers the research community the first SaaS polarity dataset.
Alkalbani, AM, Hussain, FK & IEEE 1970, 'A Comparative Study and Future Research Directions in Cloud Service Discovery', PROCEEDINGS OF THE 2016 IEEE 11TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), IEEE Conference on Industrial Electronics and Applications, IEEE, Dearborn, MI, United States, pp. 1049-1056.
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© 2016 IEEE.Cloud computing technology is a new paradigm which provides Information Technology (IT) resources via the Internet. This new shift in the way that IT re-sources are offered to the user brings new challenges, such as cloud service discovery. Nowadays, cloud users are faced with a dilemma as they have an abundant choice of cloud services. Moreover, many cloud providers offer a range of services which deliver similar functionality. Locating the best and most appropriate cloud service with a suitable and capable provider is a primary concern for any consumer. In order to clearly comprehend the scope of this problem, a thorough analysis of the limitations of cloud service discovery approaches is required which, in turn, will empower researchers to deliver better solutions for consumers to make an informed decision and choose the right service. This paper presents an overview of the current cloud service discovery trends and challenges in recent studies. Additionally, the reviewed approaches are classified according to service discovery architecture and techniques. Furthermore, these approaches are compared and analysed from several perspectives including approach model/architecture, service type, ontology representation (domain, language, and reasoning), dynamic discovery model, evaluation model, user's preferences techniques, data updates, and public repositories.
Allen, G, Burdon, SW & Dovey, K 1970, 'The Socio-Political Antecedents of Technical Innovation', International Society for Professional Innovation Management, International Society for Professional Innovation Management, International Society for Professional Innovation Management, Porto, Portugal, pp. 1-10.
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The paper reports on a management initiative within an iconic global high-tech company to facilitate technical innovation within two teams (situated in different global locations of the company) that had been unable to produce any form of technical innovation over a period of several years. Experimenting with an action research strategy, this initiative had the practical goal of generating technical innovation and the research goal of gaining insight into the social dynamics that may facilitate such innovation. The two-year process delivered novel insights into the circumstances that enabled these teams to deliver four company-lauded technical innovations. The principal finding of the research - that social innovation is an antecedent of technical innovation – highlights the importance of alternative research methodologies (to that of the dominant research approach involved in R&D facilities) in addressing the politics of innovation within large organisations.
Alqudah, H, Cao, K, Zhang, T, Haddad, A, Su, S, Celler, B & Nguyen, HT 1970, 'Cardiovascular fitness strengthening using portable device', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, USA, pp. 2692-2695.
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The paper describes a reliable and valid Portable Exercise Monitoring system developed using TI eZ430-Chronos watch, which can control the exercise intensity through audio stimulation in order to increase the Cardiovascular fitness strengthening.
Al-Soeidat, MR, Cembrano, A & Lu, DD-C 1970, 'Comparing effectiveness of hybrid mppt algorithms under partial shading conditions', 2016 IEEE International Conference on Power System Technology (POWERCON), 2016 IEEE International Conference on Power System Technology (POWERCON), IEEE, Wollongong, AUSTRALIA.
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© 2016 IEEE. For photovoltaic (PV) systems, a key area which can affect the amount of energy harvested is the effectiveness of the Maximum Power Point Tracking (MPPT) algorithm, which dynamically locates the operating point for maximum power output. Currently, there are many MPPT algorithms proposed and in use, however, they are not without problems. For example, algorithms such as the Fractional Open Circuit method are simple and effective, but their accuracy is poor. Other algorithms such as the Perturb & Observe (P&O) approach, although more accurate, will cause oscillations around the maximum power point. It is perceived that the use of two MPPT algorithms in tandem will help to overcome the drawbacks of individual MPPT algorithms used in isolation. This paper proposes two new versions of Hybrid MPPT algorithm; one being a combination of the Fractional Open Circuit Voltage and P&O methods, and the other a combination of the Power Increment and P&O techniques. Experimental results are reported to evaluate and compare the performance of the algorithms.
Al-Widyan, F, Kirchner, N, Al-Ani, A & Zeibots, M 1970, 'A bottleneck investigation at escalator entry at the Brisbane central train station', ATRF 2016 - Australasian Transport Research Forum 2016, Proceedings, Australasian Transport Research Forum, ATRF, Melbourne, Australia, pp. 1-9.
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Escalators are an essential for passenger’s movements through multi-level rail station concourse environments. Despite the access benefits that escalators provide, they can make travel time longer and pose some challenges when bottlenecks appear at entry. Studying the passenger behaviour of bottlenecks at escalator entrances is essential for planning, designing and control of engineering transportation systems. In this paper we investigate passenger route choice behaviour while approaching an escalator-stair infrastructure set at Brisbane Central train station. A model of an escalator entry bottleneck is formulated. The developed model can explain the queuing characteristics of the bottlenecks and can be readily used to predict congested state occurrence at escalator entry bottleneck. Accurate prediction of bottlenecks occurring around escalators and the estimation of escalator capacity are obtained based on real field data collected from Brisbane Central train station. Results have provided significant insights and computational tools for understanding many features of escalator bottlenecks. Remarkably, escalator capacity at bottleneck points affects the duration and severity of the congested period.
Alzoubi, YI & Gill, AQ 1970, 'An Agile Enterprise Architecture-Driven Model for Geographically Distributed Agile Development', International Conference on Information Systems Development, ISD 2015, International Conference on Information Systems Development, Springer International Publishing, Harbin, China, pp. 63-77.
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Agile development is a highly collaborative environment, which requires active communication (i.e. effective and efficient communication) among stakeholders. The active communication in geographically distributed agile development (GDAD) environment is difficult to achieve due to many challenges. Literature has reported that active communication play critical role in enhancing GDAD performance through reducing the cost and time of a project. However, little empirical evidence is known about how to study and establish active communication construct in GDAD in terms of its dimensions, determinants and effects on GDAD performance. To address this knowledge gap, this paper describes an enterprise architecture (EA) driven research model to identify and empirically examine the GDAD active communication construct. This model can be used by researchers and practitioners to examine the relationships among two dimensions of GDAD active communication (effectiveness and efficiency), one antecedent that can be controlled (agile EA), and four dimensions of GDAD performance (on-Time completion, on-budget completion, software functionality and software quality).
Al-Zubaydi, AYT, Hong, G & Dartnall, WJ 1970, 'CFD Modelling and Analysis of Different Designs Plate Heat Exchangers', Proceedings of the 10th Australasian Heat and Mass Transfer Conference, Australasian Heat and Mass Transfer Conference, Queensland University of Technology, Brisbane, Australia, pp. 145-152.
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The indirect evaporative cooling system and heat recovery system utilize the return (secondary) air to condition the fresh (primary) air by means of air-to-air heat exchange between the two streams. The temperature difference between the primary and secondary air streams in indirect evaporative cooling system is relatively small. Therefore, efficient heat exchangers should be used since they play a major role in the overall system performance and economics. The parallel plate type heat exchangers have been widely adopted in Indirect Evaporative Cooling (IEC) systems due to their high efficiency in operating at small temperature difference. In this paper we present a theoretical analysis of different designs of counter flow aluminium plate type heat exchanger and results of CFD analysis of pressure drop, flow velocity and thermal effectiveness. For improving the heat transfer between the plates and minimizing the energy loss, the analysis proves useful in the optimization method for selecting parameters of the plate heat exchangers.
Alzughaibi, A & Chaczko, Z 1970, 'Human detection model using feature extraction method in video frames', 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), IEEE, Palmerston North, New Zealand, pp. 1-6.
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© 2016 IEEE.This paper presents a robust machine learning based computational solution for human detection. The proposed mechanism is specifically applicable for pose-variant situations in video frames. In order to address the pose variance problem, features are extracted using an improved variant of Histograms of Gradients (HoG) and local Binary Pattern features (LBP). The two feature sets are combined to form a feature vector based on different poses and human shapes, while a support vector machine (SVM)-based classifier is used for detection. Common issues faced by current approaches include false and missed detections in frames with robust feature-sets consisting of improved HoG features and LBP features with rotation information. The proposed detector model performs efficiently; the miss rates are reduced, the true positives are increased, and the accuracy is improved. Some false detections for human look alike objects are also observed. A diverse dataset depicting different poses is used for training purposes. A challenge test dataset is used to test the performance of the proposed approach against current state-of-the-art detectors to verify the performance. Receiver operating characteristic (ROC) curves are plotted to compare and evaluate the results based on miss rates and true positives, which demonstrate the proposed model achieves optimal results.
Ambainis, A, Balodis, K, Belovs, A, Lee, T, Santha, M & Smotrovs, J 1970, 'Separations in query complexity based on pointer functions', Proceedings of the forty-eighth annual ACM symposium on Theory of Computing, STOC '16: Symposium on Theory of Computing, ACM.
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Amin, U, Hossain, MJ, Lu, J & Mahmud, MA 1970, 'Cost-benefit analysis for proactive consumers in a microgrid for transactive energy management systems', Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016, Australasian Universities Power Engineering Conference (AUPEC), IEEE, Brisbane, AUSTRALIA.
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This paper proposes the installation of a battery energy storage (BES) system along with a PV system in a hierarchical transactive energy management (TEM) framework to reduce consumer's electricity bills. An algorithm is developed to control the charging and discharging cycle of the proposed battery in a TEM system. A new cost benefit analysis (CBA) approach is presented for solar energy systems and combination of photovoltaic (PV) units and BES systems when these are installed in a proactive houses. Economic benefit analysis is based on real time electricity rate and battery cost to give an exact idea of returns and yearly savings to consumers on their investment. Real load and generation data are used for the analysis and based on the developed algorithm the appropriate battery size is determined. When it is integrated with a 4kW PV unit, it reduces the power mismatch between the load demand and solar generation. The result shows that proactive consumers can maximize their savings considerably on solar investment by installing BES systems.
Amin, U, Hossain, MJ, Lu, J & Mahmud, MA 1970, 'Cost-benefit analysis for proactive consumers in a microgrid for transactive energy management systems', 2016 Australasian Universities Power Engineering Conference (AUPEC), 2016 Australasian Universities Power Engineering Conference (AUPEC), IEEE.
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Anshu, A, Belovs, A, Ben-David, S, Goos, M, Jain, R, Kothari, R, Lee, T & Santha, M 1970, 'Separations in Communication Complexity Using Cheat Sheets and Information Complexity', 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS), 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS), IEEE.
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Antonacopoulos, A, Gatos, B, Blumenstein, M, Lladós, J & Lopresti, D 1970, 'Message from the General Chairs and Program Chairs', 2016 12th IAPR Workshop on Document Analysis Systems (DAS), 2016 12th IAPR Workshop on Document Analysis Systems (DAS), IEEE, p. xi.
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Ardashir, JF, Siwakoti, YP, Sabahi, M, Hosseini, SH & Blaabjerg, F 1970, 'S4 grid-connected single-phase transformerless inverter for PV application.', IECON, Annual Conference of the IEEE Industrial Electronics Society, IEEE, Florence, Italy, pp. 2384-2389.
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© 2016 IEEE.A novel transformerless inverter for grid-tied PV systems is introduces with low leakage current in this paper. Four power switches, two capacitors, two diodes, and a LC filter are uses in this topology. The negative polarity of the PV panel is connected to the neutral of the utility grid with common line. Therefore, a common-mode voltage is constant and leakage current is nearly zero. A unipolar Sinusoidal Pulse-Width modulation (SPWM) method is utilized to reduce the output current ripple and requirements of filter. The major merits of this topology are compact size, low cost, flexible grounding configuration and higher efficiency. The operating principle and analysis of the proposed inverter are presented in details. Finally, a universal prototype rated 500 W are tested to validate the proposed topology and the overall concept. The results obtained clearly confirm the performance and practical application of the proposed topology for grid-connected PV systems.
Arellano, LAP, Castro, EL, Ochoa, EA & MerigoLindahl, JM 1970, 'Prioritized induced probabilistic OWA for dispute resolution methods', 2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), 2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), IEEE, Univ Texas El Paso, El Paso, TX.
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Argha, A, Li, L, Su, SW & Nguyen, H 1970, 'ℋ<inf>2</inf>-based optimal sparse sliding mode control for networked control systems', 2016 IEEE 55th Conference on Decision and Control (CDC), 2016 IEEE 55th Conference on Decision and Control (CDC), IEEE, Las Vegas, NV, pp. 6826-6831.
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This paper is devoted to the problem of designing a sparsely distributed sliding mode control for networked systems. Indeed, this note employs a distributed sliding mode control framework by exploiting (some of) other subsystems' information to improve the performance of each local controller so that it can widen the applicability region of the given scheme. To do so, different from the traditional schemes in the literature, a novel approach is proposed to design the sliding surface, in which the level of required control effort is taken into account during the sliding surface design based on the ℋ2 control. We then use this novel scheme to provide an innovative less-complex procedure that explores sparse control networks to satisfy the underlying control objective.
Argha, A, Su, SW & Savkin, A 1970, 'Optimal actuator/sensor selection through dynamic output feedback', 2016 IEEE 55th Conference on Decision and Control (CDC), 2016 IEEE 55th Conference on Decision and Control (CDC), IEEE, Las Vegas, USA, pp. 3624-3629.
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© 2016 IEEE.This paper is devoted to the problem of optimal selection of a subset of available actuators/sensors through a multi-channel H22 dynamic output feedback controller for continuous linear time invariant systems. Incorporating two extra terms for penalizing the number of actuators and sensors into the optimization objective function, we develop an iterative process to identify the favorable row/column-wise sparse DOF gains. Employing the identified structure, we solve the constructed row/column structured multi-channel H22 DOF problem in order to derive a gain that exploits optimum number of sensors/actuators by which the closed-loop stability is maintained and the performance degradation of the closed-loop system is restricted. Through an example we demonstrate the remarkable performance and broad applicability of the proposed approach.
Argha, A, Su, SW, Savkin, A & Celler, B 1970, '”<inf>2</inf>/H<inf>∞</inf> based sliding mode control: A partial eigenstructure assignment method', 2016 IEEE 55th Conference on Decision and Control (CDC), 2016 IEEE 55th Conference on Decision and Control (CDC), IEEE, Las Vegas, NV, pp. 5354-5359.
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This paper is devoted to the problem of designing a sliding surface for an underlying system, while ”2/H∞ performance specifications of the closed-loop system are under control. This scheme is different from a large number of the existing methods in the literature for the sliding surface design, in the sense that it will penalize the required level of control effort to maintain sliding. This novel scheme consists of two stages. First, exploiting a certain partial eigenstructure assignment method, a state feedback gain is selected that ensures precise locations for some of the closed-loop system poles while minimizing the H∞-norm (”2-norm) of a specific closed-loop transfer function and satisfying an ”2-norm (H∞-norm) constraint on the same or another closed-loop transfer function. Following this, the second stage derives the sliding surface and thereby the control law associated with the particular state feedback designed in the first stage by using one of an approach developed for this purpose. We present a numerical example to demonstrate the remarkable performance of the proposed scheme.
Argha, A, Ye, L, Su, SW, Nguyen, H & Celler, BG 1970, 'Heart rate regulation during cycle-ergometer exercise using damped parameter estimation method', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, Florida, United States, pp. 2676-2679.
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© 2016 IEEE.This paper is devoted to the problem of heart rate regulation using a model-based control strategy and a realtime damped parameter estimation scheme. The controller is a time-varying integral sliding mode controller. A recursive damped parameter estimation method is also developed, by incorporation of a weighting upon the one-step parameter variation, which in contrast to the conventional parameter estimation schemes (e.g. recursive least squares (RLS) method) can avoid the occurrence of the so-called blowup phenomena. The calculated control signals are transmitted to the subjects employing a synchronized biofeedback mechanism. The proposed control and estimation scheme were experimentally verified using twelve healthy male subjects and the results demonstrated that the designed scheme is able to regulate the HR of the exercising subjects to a predetermined HR profile preventing overshooting in the HR responses.
Asheralieva, A & Miyanaga, Y 1970, 'Multi-agent Q-learning for autonomous D2D communication', 2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), IEEE.
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Attwater, DJ, Stenzel, MH, Min, EH, Zhao, J, Hutvagner, GJ & Ting, SRSIMON 1970, 'Cationic Polymers based on Fructose and Galactose Moieties for Nucleic Acids Delivery', 36th Australasian Polymer Symposium, 36th Australasian Polymer Symposium, Lorne, Australia.
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Cationic polymers and glycopolymers were synthesised using the RAFT technique. Combining cationic polymers with glycopolymers has great potential in targeted nucleic acid delivery.1,2 However, many obstacles prevent the use of cationic glycopolymers as vectors including low success in nucleic acid delivery and high toxicity of the cationic polymer. This project aims to investigate RAFT synthesis of cationic glycopolymers with galactose or fructose carbohydrates, their binding ability with their specific lectins and with negatively charged nucleic acids.The cationic polymer poly(2-(dimethylamino)ethyl methacrylate) (PDMAEMA) was synthesised using RAFT polymerisation. The galactose monomer, 2-(2’,3’,4’,6’-tetra-O-acetyl-β-D-galactosyloxy)ethyl methacrylate (AcGalEMA), and the fructose monomer, 1-O-methacryloyl-2,3:4,5-di-O-isopropylidene--D-fructopyranose (1-O-MAiPFru)3, were polymerised with PDMAEMA to form cationic glycopolymers. Chain extension was confirmed using proton nuclear magnetic spectroscopy (NMR) and gel permeation chromatography (GPC). Gel permeation chromatography was also performed to determine the polydispersity index (uniformity) of the polymers. The protected glycopolymer blocks were modified by deacetylation of the galactose block and acid deprotection of the fructose block. Characterisation of the modified cationic glycopolymers was achieved using proton nuclear magnetic spectroscopy for confirmation of deacetylation/deprotection, and dynamic light scattering to determine the sizes of the diblock copolymers. The zeta potential (ionic charge) of the diblock copolymers was recorded.Aggregation assays between the cationic glycopolymers and plant lectins were assessed. The galactose-containing glycopolymers were conjugated with peanut agglutinin lectin and the fructose-containing glycopolymers were conjugated with lectin from Ulex europaeus. The assays were analysed using dynamic light spectroscopy and ultraviolet-visible spectroscopy...
Awadallah, M, Tawadros, P, Walker, P & Zhang, N 1970, 'Comparative system dynamic modeling of a conventional and hybrid electric powertrain', Power Transmissions - Proceedings of the International Conference on Power Transmissions, ICPT 2016, The International conference on Power Transmissions (ICPT), CRC Press, Chongqing, China, pp. 231-238.
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© 2017 Taylor & Francis Group, London. Hybrid Electric Vehicles (HEVs) provide many known benefits over conventional vehicles, including reduced emissions, increased fuel economy, and performance. The high cost of HEVs has somewhat limited their widespread adoption, especially in developing countries. Conversely, it is these countries that would benefit most from the environmental benefits of HEV technology. As part of our ongoing project to develop a cost-effective and viable mild HEV for these markets, dynamic simulations are required to ensure that the proposed designs are to achieve their desired targets. In this paper, mathematical models of the powertrain are used to analyze and compare the dynamics of both a conventional power train and one with the addition of components required for the Mild Hybrid system. Using Matlab and Simulink, simulations of both powertrains under particular driving conditions are performed to observe the advantages of the MHEV over conventional drivetrains. These benefits include torque-hole filling between gear changes, increased fuel efficiency and performance.
Awadallah, M, Tawadros, P, Walker, P & Zhang, N 1970, 'Eliminating the torque hole: Using a mild hybrid EV architecture to deliver better driveability', 2016 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific), 2016 IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific), IEEE, Busan, South Korea, pp. 173-179.
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© 2016 IEEE. Hybrid vehicle engineering has traditionally and dominantly focused on fuel economy benefits and emissions reductions. Although the transient power delivery benefits of hybrid powertrains are well-understood, these are not a primary focus of the majority of research and development efforts, with some exceptions. Our approach to this problem is to deliver a low-cost, low-tech mild-hybrid powertrain, with unique power delivery features designed to appeal to price-sensitive, but aspirational consumers. The powertrain is a simple post-transmission parallel hybrid configuration. It utilizes a low-powered four-cylinder engine coupled to a four-speed manual transmission through a robotically-actuated clutch. A low-voltage BLDC motor is directly connected to the transmission output shaft, before the final drive. Our research focuses on bringing the benefits of HEV architecture to the world's developing cities, where, it can be confidently argued, local emissions reductions are needed the most. Crucial to the success of this research is the understanding that compared to an equivalent ICE-powered vehicle, an HEV competes at a price disadvantage, no matter how cost-effective the solution is. This disadvantage is amplified in regions of low-middle income, where price sensitivity is greatest. It must, therefore, present better value than an equivalent conventional vehicle if it is to be commercially successful in these particularly price-sensitive markets. We discuss the extent to which control can be used to deliver transient power delivery gains in such a setup, and offer an example powertrain for simulation. To validate the concept, simulation of this research is performed in MATLAB and Simulink. The prototype is based on a generic engine and a BLDC motor. The results mainly focus on the electric drive and comparison of the transient response of drivetrains.
Awadallah, M, Tawadros, P, Walker, P & Zhang, N 1970, 'Selection and characterisation of PMSM motor for mild HEV applications', EVS 2016 - 29th International Electric Vehicle Symposium, Electric Vehicle Symposium, Electric Drive Transportation Association, Montréal, Québec, Canada.
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This paper presents a theoretical background and real-time validation procedure for an electric propulsion system for a mild-hybrid vehicle configuration, based on a permanent magnet synchronous motor (PMSM) on the output shaft of a manual transmission. The validation technique uses the rapid prototyping technique of hardware-in-the-loop (HIL) in order to validate the characteristics of an off-the-shelf PMSM and controller by implementing them in a HIL model of the mild hybrid vehicle. The results obtained suggest that whilst the motor did not meet the manufacturer-rated specifications, it would nevertheless function acceptably for the purposes of the proposed mild hybrid vehicle architecture.
Awais, M & Gill, AQ 1970, 'Enterprise IT governance: Back to basics', 25th International Conference on Information Systems Development, ISD 2016, International Conference on Information Systems Development, AIS eLibrary, Katowice, Poland., pp. 188-196.
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Enterprise IT (EIT) governance is an emerging and convoluted area in Information Technology (IT). As a subset, EIT governance operates under defined boundaries and set of rules inherited from the enterprise governance. There are a number of definitions that define EIT governance concepts. These concepts are linked in an intricate web of EIT governance. These concepts and related definitions have emerged over a period of time either through implementation models or IT events. This marks the need for a comprehensive review and synthesis of governance concepts in the modern context of always changing IT landscape. This research applied the well-known Systematic Literature Review (SLR) method. 4 different databases are used to find relevant research papers. Based on available definitions, evidence and analysis, it is found that four concepts are used more than any other: decision, organization, process and goal. This study result provides a consolidated set of key concepts, their relationships and trends, which can be used as a knowledge-base by researchers and practitioners' for further work in this important area of EIT governance.
Awwad, S & Piccardi, M 1970, 'Local depth patterns for fine-grained activity recognition in depth videos', 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), IEEE, Palmerston North, New Zealand, pp. 214-219.
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© 2016 IEEE.Fine-grained activities are human activities involving small objects and small movements. Automatic recognition of such activities can prove useful for many applications, including detailed diarization of meetings and training sessions, assistive human-computer interaction and robotics interfaces. Existing approaches to fine-grained activity recognition typically leverage the combined use of multiple sensors including cameras, RFID tags, gyroscopes and accelerometers borne by the monitored people and target objects. Although effective, the downside of these solutions is that they require minute instrumentation of the environment that is intrusive and hard to scale. To this end, this paper investigates fine-grained activity recognition in a kitchen setting by solely using a depth camera. The primary contribution of this work is an aggregated depth descriptor that effectively captures the shape of the objects and the actors. Experimental results over the challenging '50 Salads' dataset of kitchen activities show an accuracy comparable to that of a state-of-the-art approach based on multiple sensors, thereby validating a less intrusive and more practical way of monitoring fine-grained activities.
Azim, MI, Hossain, MA, Mohiuddin, SM, Hossain, MJ & Pota, HR 1970, 'Proportional reactive power sharing for islanded microgrids', 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), IEEE, Hefei, PEOPLES R CHINA, pp. 1139-1144.
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Bah, AO, Pei-Yuan Qin & Guo, YJ 1970, 'An extremely wideband tapered balun for application in tightly coupled arrays', 2016 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC), 2016 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC, IEEE, Cairns, Australia, pp. 162-165.
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© 2016 IEEE. This paper presents the design of a single layer, compact, tapered balun with a >20:1 bandwidth and less than λ/17 in length at the lowest frequency of operation. The balun operates from 0.7GHz to over 15GHz. It can provide both impedance transformation as well as a balanced feed for tightly coupled arrays. Its performance is compared with that of a full-length balun operating over the same frequency band. There is a high degree of agreement between the two baluns.
Bai, Y, Wang, H, Wu, J, Zhang, Y, Jiang, J & Long, G 1970, 'Evolutionary lazy learning for Naive Bayes classification', 2016 International Joint Conference on Neural Networks (IJCNN), 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, IEEE, pp. 3124-3129.
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© 2016 IEEE. Most improvements for Naive Bayes (NB) have a common yet important flaw - these algorithms split the modeling of the classifier into two separate stages - the stage of preprocessing (e.g., feature selection and data expansion) and the stage of building the NB classifier. The first stage does not take the NB's objective function into consideration, so the performance of the classification cannot be guaranteed. Motivated by these facts and aiming to improve NB with accurate classification, we present a new learning algorithm called Evolutionary Local Instance Weighted Naive Bayes or ELWNB, to extend NB for classification. ELWNB combines local NB, instance weighted dataset extension and evolutionary algorithms seamlessly. Experiments on 20 UCI benchmark datasets demonstrate that ELWNB significantly outperforms NB and several other improved NB algorithms.
Bakar, SBA, Pradhan, B, Lay, US & Abdullahi, S 1970, 'Spatial assessment of land surface temperature and land use/land cover in Langkawi Island', IOP Conference Series: Earth and Environmental Science, IOP Publishing, pp. 012064-012064.
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Bakirov, R, Gabrys, B & Fay, D 1970, 'Augmenting adaptation with retrospective model correction for non-stationary regression problems', 2016 International Joint Conference on Neural Networks (IJCNN), 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, Vancouver, CANADA, pp. 771-779.
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Existing adaptive predictive methods often use multiple adaptive mechanisms as part of their coping strategy in non-stationary environments. We address a scenario when selective deployment of these adaptive mechanisms is possible. In this case, deploying each adaptive mechanism results in different candidate models, and only one of these candidates is chosen to make predictions on the subsequent data. After observing the error of each of candidate, it is possible to revert the current model to the one which had the least error. We call this strategy retrospective model correction. In this work we aim to investigate the benefits of such approach. As a vehicle for the investigation we use an adaptive ensemble method for regression in batch learning mode which employs several adaptive mechanisms to react to changes in the data. Using real world data from the process industry we show empirically that the retrospective model correction is indeed beneficial for the predictive accuracy, especially for the weaker adaptive mechanisms.
Baldwin, A, Johnson, D & Wyeth, P 1970, 'Crowd-Pleaser', Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play, CHI PLAY '16: The annual symposium on Computer-Human Interaction in Play, ACM.
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Ball, JE 1970, 'Uncertainty Of Gauged Data And Its Impact On The Prediction Of Design Flood Flows', 20th Congress of the Asia Pacific Division of the International Association for Hydro Environment Engineering & Research (IAHR APD 2016), 20th Congress of the Asia Pacific Division of the International Association for Hydro Environment Engineering & Research (IAHR APD 2016), Colombo, Sri Lanka.
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Design flood estimation remains a problem for many professionals involved in the management of rural and urban catchments. An essential aspect of this problem is prediction of the magnitude of the hazard and the exceedance probability of the hazard from suitable data. This suitable data can be obtained from either monitoring of the floods in the catchment or from catchment modelling aimed at replicating floods that would have been monitored were monitoring systems in place. If the suitable data is obtained from monitored data, then the predictions are obtained from a frequency analysis of the monitored data. If the suitable data is generated by catchment modelling, then monitored data is needed to ensure application of the catchment modelling system results in flood predictions that are suitable replications of the data that could have been recorded at the site of interest. In both cases, there is a need to ensure the reliability of the gauged data in terms of flood flows. A typical gauging station, however, monitors river stages and requires a stage-discharge relationship to convert the recorded levels to an equivalent flow. For design flood systems, extrapolation of the stage-discharge usually is required. There is a need to consider the impact of this extrapolation of the stage-discharge on the predicted flood. Presented herein will be the results of an investigation into stage-discharge relationships and design flood estimation.
Ball, JE & Brady, PDM 1970, 'Digital Signal Processing for Fast Computation of Hydrologic Variables', 37th Hydrology and Water Resources Symposium - Water, Infrastructure and the Environment, 37th Hydrology and Water Resources Symposium - Water, Infrastructure and the Environment, Queenstown, NZ.
Ball, JE, Kerr, A, Rocha, GC & Islam, A 1970, 'A review of stream gauge records for design flood estimation', 37th Hydrology and Water Resources Symposium 2016: Water, Infrastructure and the Environment, HWRS 2016, Hydrology and Water Resources Symposium and the International Conference on Water Resources and Environment Research, Engineers Australia, Queenstown, NZ.
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Design flood estimation remains a problem for many professionals involved in the management of rural and urban catchments. Recorded flood data provides the basis for most design flood estimation; the recorded flood data is used in application of the design flood estimation technique (FFA) or in the development of the technique (RFFE). In general, data used for design flood estimation is the peak flow of the flood hydrograph. However, the data recorded at most gauging stations is the water level in the channel (the channel stage). To convert these stages to an equivalent flood flow, a rating curve or a stage-discharge relationship is used. For most design flood problems, extrapolation of the stage-discharge relationship is usually required to obtain flood peak flows. There is a need to consider the magnitude of this extrapolation of the stage-discharge relationship. Furthermore, there is a need to consider the data used for development of the stage-discharge relationship and the impact of these data on the subsequent extrapolation. Presented herein will be the results of an investigation into stage-discharge relationships and their basis.
Banihashemi Namini, SS, Ding, GKC & Wang, J 1970, 'Identification of BIM-Compatible Variables for Energy Optimization of Residential Buildings: A Delphi Study', AUBEA 2016 The 40th Australasian Universities Building Education Association Conference, Australian Universities Building Education Association Annual Conference, Central Queensland University, Cairns, Australia, pp. 281-291.
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It is believed that drawing an applicable, relevant and coherent batch of variables is a fundamental tenet in the success of having an integrated BIM-based energy optimisation but in order to achieve a high level of usefulness, these variables need to be refined and prioritised. Thus, this paper is to investigate BIM compatible variables which are of top priorities for energy optimisation of residential buildings in the design stage. A sequential exploratory research was conducted to find out the most relevant and significant variables that have a high impact on the energy consumption of residential buildings. A pool including more than 30 variables was established and refined through running Delphi approach with energy and BIM experts to reach the final list of prioritized variables. Conducting a three-round Delphi enabled authors to obtain more meticulous results via a consensus agreement among the respondents on the top 13 variables through lenses of BIM compatibility, applicability to optimization and design stage.
Barforoushi, AH, Shemesh, J, Farbehi, N, Asadnia, M, Yeoh, GH, Nordon, RE & Warkiani, ME 1970, 'A rapid microfluidic stamping device for studying cardiac stem cells and endothelial cells co-culture', 20th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2016, pp. 1069-1070.
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Many biological processes in the body are regulated by synchronized activity between two cell types. Recent advances in cell μcontact printing have facilitated the in-vitro study of homotypic and heterotypic cell-cell interaction. However, these techniques are still complicated to perform and are seldom used by biologists. We report here development of a novel microfluidic stamping device for patterning two adherent cell lines with well-defined interlacing configurations to study cell-cell spatial interactions. To demonstrate the stamp's capabilities, we developed an in-vitro model of endothelial and cardiac mesenchymal stem cell interactions, which are thought to regulate coronary repair after myocardial injury.
Barthelmey, A, Lenkenhof, K, Schallow, J, Lemmerz, K, Deuse, J & Kuhlenkötter, B 1970, 'Technical Documentation as a Service – An Approach for Integrating Editorial and Engineering Processes of Machinery and Plant Engineers', Procedia CIRP, Elsevier BV, pp. 167-172.
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© 2016 The Authors. Delivery of technical documentation of manufacturing facilities is still mandatory for machinery and plant engineers as part of the compliance with legal regulations. In addition, current research and development indicate that digital technical documentation can be used as informative support for operating staff if contents are provided context-sensitive. Despite the importance and potentials of technical documentation for the engineering process, an integration of editorial staff into this process is not state of the art. In this paper the authors propose a reference implementation for technical documentation developed within the collaborative research project Cyber System Connector in order to fill this gap both technically and organizationally. The aim is to redesign technical documentation into a service for all participants in product and production development. This new approach is based on a CPS-supported process of creating technical documentation and a virtual representation which serves as a platform for knowledge management in machinery and plant engineering. The benefits of implementing the proposed documentation strategy along the supply chain of manufacturing facilities are depicted by chosen application scenarios.
Barua, S & Braun, R 1970, 'A novel approach of mobility management for the D2D communications in 5G mobile cellular network system', 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2016 18TH Asia-Pacific Network Operations and Management Symposium (APNOMS), IEEE, Kanazawa, Japan, pp. 1-4.
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© 2016 IEICE. The concept of 5G is regarded to gain 1000× data speed with 20 Billion devices (IoT) connected to the network which will literary connect everything. From the network point of view, lower latency combined with high flexibility is not just limited to the concept of 5G but already on the way to be implemented in real network by 2020. In a cellular network, Device to Device (D2D) communication has been viewed as a promising technology to overcome many existed problems especially the capacity and quality considering the scarce spectrum resource. However, this comes at the price of huge interference and complex mobility issues although it was initially proposed as a new paradigm to enhance the network performance. Cellular devices without smooth mobility readiness are hardly acceptable. A smart mobility system in cellular in-band underlay D2D communication should have lower latency, lower power consumption, and higher data rates. My proposition is to review the existing mobility management system for the LTE-Advanced technology and propose a unique algorithm over the existing proposal so that lower signalling overhead and lower delay along with uninterrupted D2D communication are guaranteed for the 5G cellular communication system by 2020.
Bashir, MR & Gill, AQ 1970, 'Towards an IoT Big Data Analytics Framework: Smart Buildings Systems.', HPCC/SmartCity/DSS, IEEE International Conference on High Performance Computing and Communications, IEEE Computer Society, Sydney, Australia, pp. 1325-1332.
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© 2016 IEEE. There is a growing interest in IoT-enabled smart buildings. However, the storage and analysis of large amount of high-speed real-time smart building data is a challenging task. There are a number of contemporary Big Data management technologies and advanced analytics techniques that can be used to deal with this challenge. There is a need for an integrated IoT Big Data Analytics (IBDA) framework to fill the research gap in the Big Data Analytics domain. This paper presents one such IBDA framework for the storage and analysis of real time data generated from IoT sensors deployed inside the smart building. The initial version of the IBDA framework has been developed by using Python and the Big Data Cloudera platform. The applicability of the framework is demonstrated with the help of a scenario involving the analysis of real-time smart building data for automatically managing the oxygen level, luminosity and smoke/hazardous gases in different parts of the smart building. The initial results indicate that the proposed framework is fit for the purpose and seems useful for IoT-enabled Big Data Analytics for smart buildings. The key contribution of this paper is the complex integration of Big Data Analytics and IoT for addressing the large volume and velocity challenge of real-time data in the smart building domain. This framework will be further evaluated and extended through its implementation in other domains.
Bautista, MG, Dutkiewicz, E, Huang, X, Nguyen, D & Zhu, F 1970, 'Quadrature broadband phase shift generation using passive RC polyphase filter for RF front-end', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Qingdao, China, pp. 597-601.
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© 2016 IEEE. This paper reviews the state of the art of a polyphase complex filter for RF front-end low-IF transceivers applications. We then propose a multi-stage polyphase filter design to generate a quadrature I/Q signal to achieve a wideband precision quadrature phase shift with a constant 90 ° phase difference for self-interference cancellation circuit for full duplex radio. The number of the stages determines the bandwidth requirement of the channel. An increase of 87% in bandwidth is attained when our design is implemented in multi-stage from 2 to an extended 6 stages. A 4-stage polyphase filter achieves 2.3 GHz bandwidth.
Bazaz, SR, Mehrizi, AA & Hesari, AZ 1970, 'A novel microfluidic design for blood plasma separation', 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering (ICBME), 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering (ICBME), IEEE, pp. 97-101.
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one of the most crucial materials used in detection and diagnosis field is blood. The effects of blood components on the diagnosis process are significant. To avoid the disturbance of the experiments, the first step of blood analysis is to separate plasma from blood. Two dominant factors influence on this procedure are blood plasma skimming and Zweifach-Fung effect. In order to evaluate the separation device, two major criteria including separation and purity efficiency are introduced. The main drawback of these two factors is that they have reverse effect on each other which means that correcting one of them have destructive effect on the other one. Therefore, a trade-off between them should have happened. In this study, a novel microfluidic separation device is designed based on momentum definition and acceleration-deceleration effect. The computational CFD package, Ansys Fluent is used to simulate and solve this study. The Lagrangian approach is utilized for particle trajectory and the effect of the forces acting on each blood cell is considered. The results are then analyzed and shown that by using momentum and acceleration-deceleration effects, the purity efficiency would be increased by 15% with the same separation efficiency as before which was 70% on the average flow rate of 100 μl/min, approximately and it is completely providing for future use of this kind of device.
Beck, D, Thoms, J, Palu, C, Herold, T, Shah, A, Olivier, J, Boelen, L, Huang, Y, Chacon, D, Brown, A, Babic, M, Hahn, C, Perugini, M, Zhou, X, Huntly, B, Berdel, W, Woermann, B, Buechner, T, Hiddemann, W, Bohlander, S, Scott, H, Lewis, I, D'Andrea, R, Wong, J & Pimanda, J 1970, 'INTEGRATIVE ANALYSIS OF LINCRNA EXPRESSION IN 922 ACUTE MYELOID LEUKEMIA PATIENTS REVEALS MULTIPLE PROGNOSTIC GENE SIGNATURES', HAEMATOLOGICA, pp. 208-209.
Bengua, JA, Tuan, HD, Phien, HN & Do, MN 1970, 'Concatenated image completion via tensor augmentation and completion', 2016, 10th International Conference on Signal Processing and Communication Systems, ICSPCS 2016 - Proceedings.
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This paper proposes a novel framework called concatenated image completionvia tensor augmentation and completion (ICTAC), which recovers missing entriesof color images with high accuracy. Typical images are second- or third-ordertensors (2D/3D) depending if they are grayscale or color, hence tensorcompletion algorithms are ideal for their recovery. The proposed frameworkperforms image completion by concatenating copies of a single image that hasmissing entries into a third-order tensor, applying a dimensionalityaugmentation technique to the tensor, utilizing a tensor completion algorithmfor recovering its missing entries, and finally extracting the recovered imagefrom the tensor. The solution relies on two key components that have beenrecently proposed to take advantage of the tensor train (TT) rank: A tensoraugmentation tool called ket augmentation (KA) that represents a low-ordertensor by a higher-order tensor, and the algorithm tensor completion byparallel matrix factorization via tensor train (TMac-TT), which has beendemonstrated to outperform state-of-the-art tensor completion algorithms.Simulation results for color image recovery show the clear advantage of ourframework against current state-of-the-art tensor completion algorithms.
Bengua, JA, Tuan, HD, Phien, HN, Kha, HH & IEEE 1970, 'Two-hop Power-Relaying for Linear Wireless Sensor Networks', 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE), International Conference on Communications and Electronics (HUT-ICCE), IEEE, Ha Long, Vietnam, pp. 111-115.
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This paper presents two-hop relay gain-scheduling control in a Wireless Sensor Network to estimate a static target prior characterized by Gaussian probability distribution. The target is observed by a network of linear sensors, whose observations are transmitted to a fusion center for carrying out final estimation via a amplify-and-forward relay node. We are concerned with the joint transmission power allocation for sensors and relay to optimize the minimum mean square error (MMSE) estimator, which is deployed at the fusion center. Particularly, such highly nonlinear optimization problems are solved by an iterative procedure of very low computational complexity. Simulations are provided to support the efficiency of our proposed power allocation.
Benn, BT, Baweja, D & Mills, JE 1970, 'The effect of limestone mineral addition and cement kiln dust on the chloride ingress into mortar specimens made with cement, fly ash and slag', fib Symposium, pp. 1-13.
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Following changes to the cement standard, AS 3972 General and blended cement, in 2010 the author commenced research into the effect of increased levels of limestone mineral addition plus cement kiln dust on the rate of chloride ingress though mortar and concrete. The research also incorporates the effect of replacing some of the cement with fly ash and ground granulated blastfurnace slag. This paper concentrates on the chloride ion ingress data that has been produced as part of the research. The mixes reported in this paper are based on mixes made with cement containing limestone mineral levels of 4%, 10% and 15% with and without 5% cement kiln dust additions and mixes where the cement was replaced with 20% fly ash or 30% slag again with and without 5% cement kiln dust. The chloride ingress of the mortar has been determined on specimens that have been subjected to standard water curing for up to one year and tested using a method based on Nord Test Build NT Build 492 (1999).
Berta, M, Fawzi, O & Tomamichel, M 1970, 'Exploiting variational formulas for quantum relative entropy', 2016 IEEE International Symposium on Information Theory (ISIT), 2016 IEEE International Symposium on Information Theory (ISIT), IEEE, Barcelona, Spain, pp. 2844-2848.
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The relative entropy is the basic concept underlying various information measures like entropy, conditional entropy and mutual information. Here, we discuss how to make use of variational formulas for measured relative entropy and quantum relative entropy for understanding the additivity properties of various entropic quantities that appear in quantum information theory. In particular, we show that certain lower bounds on quantum conditional mutual information are superadditive.
Best, G & Fitch, R 1970, 'Probabilistic maximum set cover with path constraints for informative path planning', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, ARAA, Brisbane, Australia, pp. 97-106.
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We pose a new formulation for informative path planning problems as a generalisation of the well-known maximum set cover problem. This new formulation adds path constraints and travel costs, as well as a probabilistic observation model, to the maximum set cover problem. Our motivation is informative path planning applications where the observation model can be naturally encoded as overlapping subsets of a set of discrete elements. These elements may include features, landmarks, regions, targets or more abstract quantities, that the robot aims to observe while moving through the environment with a given travel budget. This formulation allows directly modelling the dependencies of observations from different viewpoints. We show this problem is NP-hard and propose a branch and bound tree search algorithm. Simulated experiments empirically evaluate the bounding heuristics, several tree expansion policies and convergence rate towards optimal. The tree pruning allows finding optimal or bounded-approximate solutions in a reasonable amount of time, and therefore indicates our work is suitable for practical applications.
Best, G, Faigl, J & Fitch, R 1970, 'Multi-robot path planning for budgeted active perception with self-organising maps', 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Daejeon, Korea, pp. 3164-3171.
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© 2016 IEEE. We propose a self-organising map (SOM) algorithm as a solution to a new multi-goal path planning problem for active perception and data collection tasks. We optimise paths for a multi-robot team that aims to maximally observe a set of nodes in the environment. The selected nodes are observed by visiting associated viewpoint regions defined by a sensor model. The key problem characteristics are that the viewpoint regions are overlapping polygonal continuous regions, each node has an observation reward, and the robots are constrained by travel budgets. The SOM algorithm jointly selects and allocates nodes to the robots and finds favourable sequences of sensing locations. The algorithm has polynomial-bounded runtime independent of the number of robots. We demonstrate feasibility for the active perception task of observing a set of 3D objects. The viewpoint regions consider sensing ranges and self-occlusions, and the rewards are measured as discriminability in the ensemble of shape functions feature space. Simulations were performed using a 3D point cloud dataset from a real robot in a large outdoor environment. Our results show the proposed methods enable multi-robot planning for budgeted active perception tasks with continuous sets of candidate viewpoints and long planning horizons.
Bhowmick, S, Xu, F & Saha, SC 1970, 'Transient natural convection in a valley shaped triangular cavity initially filled with stratified water', AIP Conference Proceedings, INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING: Proceedings of the 11th International Conference on Mechanical Engineering (ICME 2015), Author(s), Bangladesh Univ Engn & Technol, Dhaka, BANGLADESH.
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Bi, F, Chang, L, Lin, X, Qin, L & Zhang, W 1970, 'Efficient Subgraph Matching by Postponing Cartesian Products.', SIGMOD Conference, ACM Special Interest Group on Management of Data Conference, ACM, San Francisco, California, United States, pp. 1199-1214.
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© 2016 ACM. In this paper, we study the problem of subgraph matching that extracts all subgraph isomorphic embeddings of a query graph q in a large data graph G. The existing algorithms for subgraph matching follow Ullmann's backtracking approach; that is, iteratively map query vertices to data vertices by following a matching order of query vertices. It has been shown that the matching order of query vertices is a very important aspect to the efficiency of a subgraph matching algorithm. Recently, many advanced techniques, such as enforcing connectivity and merging similar vertices in query or data graphs, have been proposed to provide an effective matching order with the aim to reduce unpromising intermediate results especially the ones caused by redundant Cartesian products. In this paper, for the first time we address the issue of unpromising results by Cartesian products from 'dissimilar' vertices. We propose a new framework by postponing the Cartesian products based on the structure of a query to minimize the redundant Cartesian products. Our second contribution is proposing a new path-based auxiliary data structure, with the size O(|E(G)| × |V(q)|), to generate a matching order and conduct subgraph matching, which significantly reduces the exponential size O(|V(G)||V(q)|-1) of the existing path-based auxiliary data structure, where V(G) and E(G) are the vertex and edge sets of a data graph G, respectively, and V(q) is the vertex set of a query q. Extensive empirical studies on real and synthetic graphs demonstrate that our techniques outperform the state-of-the-art algorithms by up to 3 orders of magnitude.
Binsawad, M, Hawryszkiewycz, I & Kang, K 1970, 'The influence of the knowledge-sharing process on technology business incubator performance in Saudi Arabia', 25th International Conference on Information Systems Development, ISD 2016, International Conference on Information Systems Development (ISD), Association for Information Systems (AIS) eLibrary, Poland, pp. 484-494.
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In the competitive global market, technology business incubators are considered to be the backbone of the economic development of a country. Technology business incubators are involved in the creation of employment opportunities, boosting the local economy, and commercializing innovative technologies. This research-in-progress will propose a framework for technology business incubators to examine the impact of the knowledge-sharing practices of incubatees on technology business incubator performance both in general and in Saudi Arabia in particular. The key findings of this study will allow technology business incubators to better formulate the incubation process.
Binsawad, MH, Hawryszkiewycz, I & Kang, K 1970, 'Saudi technology and business incubation: An analysis and indication of gaps in functioning', AMCIS 2016: Surfing the IT Innovation Wave - 22nd Americas Conference on Information Systems, Americas Conference on Information Systems, AIS Electronic Library, San Diego, pp. 1-5.
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Due to the increasing occurrence and the tendency to be unsuccessful, one may argue that SMEs and any other new budding businesses are should be developed to be self-sustaining entities; this would be the right step to ensure economic sustainability of any nation. However, the self-sustenance follows the initial nurturing by business incubators of different types. Recently, the Kingdom of Saudi Arabia (KSA) has experienced a rapid increase in its economy due to a large number of startup businesses that create new employment and training opportunities. This trend in employment stability is not free of challenges. Despite the growing awareness and interest in business incubation, the benefits incurred by them to support new business and enterprises have much room to be fulfilled. In this review, the current growth in the rapidly-flourishing Saudi business incubation system has been reviewed; the investigation reveals that while the system has successfully supported new enterprises, its performance can be enhanced by emphasis on creativity, innovation, and knowledge-sharing within the incubation systems.
Blanco-Mesa, F & Merigó, JM 1970, 'Bonferroni Means with the Adequacy Coefficient and the Index of Maximum and Minimum Level', Lecture Notes in Business Information Processing, Springer International Publishing, pp. 155-166.
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© Springer International Publishing Switzerland 2016. The aim of the paper is to develop new aggregation operators using Bonferroni means, OWA operators and some distance and norms measures. We introduce the BON-OWAAC and BON-OWAIMAM operators. We are able to include adequacy coefficient and the maximum and minimum level in the same formulation with Bonferroni means and OWA operator. The main advantages on using these operators are that they allow considering continuous aggregations, multiple-comparison between each argument and distance measures in the same formulation. The numerical sample is focused on an entrepreneurial example in the sport industry in Colombia.
Blanco-Mesa, F & Merigo-Lindahl, JM 1970, 'Bonferroni distances with OWA operators', 2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), 2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), IEEE, El Paso, TX, USA.
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© 2016 IEEE. The aim of the paper is to develop new aggregation operators using Bonferroni means, ordered weighted averaging (OWA) operators and some distance measures. We introduce the Bonferroni-Hamming weighted distance, Bonferroni OWA distance, and Bonferroni distances with OWA operators and weighted averages. The main advantages of using these operators are that they allow considering different aggregations contexts, multiple-comparison between each argument and distance measures in the same formulation.
Blanco-Mesa, F, Merigo Lindahl, JM & Gil-Lafuente, AM 1970, 'A bibliometric analysis of fuzzy decision making research', 2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), 2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), IEEE, El Paso, TX, USA.
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© 2016 IEEE. Fuzzy decision-making consists in making decisions under complex and uncertain environments where the information can be assessed with fuzzy sets and systems. The aim of this study is to review the main contributions in this field by using a bibliometric approach. For doing so, the article uses a wide range of bibliometric indicators including the citations and the h-index. Moreover, it also uses the VOS viewer software in order to map the main trends in this area. The work considers the leading journals, articles, authors, institutions and countries. The results indicate that the Zadeh L.A. led the origins of fuzzy research and Ronald Yager is the most prominent author in FDM. The USA was the traditional leader in this field with the most significant researcher. However, during the last years, this field is receiving more attention by Asian authors that are starting to lead the field. This discipline has a strong potential and the expectations for the future is that it will continue to grow.
Blezinger, D & van den Hoven, E 1970, 'Storytelling with Objects to Explore Digital Archives', Proceedings of the European Conference on Cognitive Ergonomics, ECCE '16: European Conference on Cognitive Ergonomics, ACM, Nottingham, United Kingdom.
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© 2016 ACM.Finding media in archives is difficult while storytelling with photos can be fun and supports memory retrieval. Could the search for media become a natural part of the storytelling experience? This study investigates spatial interactions with objects as a means to encode information for retrieval while being embedded in the story flow. An experiment is carried out in which participants watch a short video and re-tell the story using cards each of which shows a character or object occurring in the video. Participants arrange the cards when telling the story. It is analyzed what information interactions with cards carry and how this information relates to the language of storytelling. Most participants align interactions with objects with the sentences of the story while some arrange the cards corresponding to the video scene. Spatial interactions with objects can carry information on their own or complemented by language.
Booth, N, Imperia, P, Davidson, G, Lee, S, Stuart, B, Thomas, P, Komatsu, K, Yamane, R, Prescott, S, Maynard-Casely, H & Nelson, A 1970, 'Three impossible things before lunch or that sounds challenging, you want it when?', 9th International Workshop on Sample Environment at Scattering Facilities, Gettysburg.
Bork, D, Buchmann, R, Hawryszkiewycz, I, Karagiannis, D, Tantouris, N & Walch, M 1970, 'Using Conceptual Modeling to Support Innovation Challenges in Smart Cities', 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), IEEE, Sydney, Australia, pp. 1317-1324.
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© 2016 IEEE. The digital transformation of cities towards Smart Cities proposes many opportunities, e.g., related to services, security, waste and energy management, and infrastructure management. These opportunities come with manifold innovation challenges, not only from a technological perspective but also for public authorities and citizens. The paper at hand introduces conceptual modeling as a means towards handling the complexity of Smart City planning, management, and operation. This paper presents multiple scenarios, indicating possibilities of bridging between the challenges of Smart Cities on the one hand and the opportunities of applying conceptual modeling on the other. Evaluation results and experience gained from two years of teaching such scenarios at the Next-generation Enterprise Modeling Summer School (NEMO) indicate a strong positive impact on student's motivation and learning success. The aim of this paper is therefore to emphasize on the benefits of adopting conceptual modeling in Smart Cities by exemplifying possible application scenarios.
Brady, F & Dyson, LE 1970, 'Exploring the Contribution of Design to Mobile Technology Uptake in a Remote Region of Australia', Culture, Technology, Communication. Common World, Different Futures, International Conference on Culture, Technology, and Communication, Springer International Publishing, London, UK, pp. 55-67.
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© IFIP International Federation for Information Processing 2016.Some of the most remote communities in Australia have participated in a technological revolution since the arrival of mobile phone networks in 2003. We follow this journey in four largely Indigenous communities in Cape York and the Torres Strait Islands, from the first 2G network, to 3G, and finally to mobile broadband and smartphones, looking at its impact on communication, Internet access, new media use and social networking. In seeking to understand this phenomenon, we conclude that aspects of the design of the mobile system have contributed, including the flexibility of the technology to adapt to the needs of varying social groups, the small portable nature of the devices which allows them to serve a traditionally mobile people and to be kept as personal devices, a billing system which serves low income people, and the multifunctionality of the technology which provide entertainment while also supporting their use of Facebook.
Braun, R, Brookes, W, Chaczko, Z & Hadgraft, R 1970, 'Position paper: BE(Hons) data engineering', 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), IEEE, IEEE, pp. 1-6.
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© 2016 IEEE. This paper describes the UTS view of Data Engineering, and the degree program that has been created to educate Data Engineers. The document describes the guiding philosophies and the key ideas used in designing the program. The design of the program takes advantage of the 3rd, 4th and 5th shifts in engineering education[1]. Namely the shift to emphasizing design (problem solving) (3), the shift to applying education, learning, and socialbehavioral sciences research, and the shift to integrating information, computational, and communications technology in education. Mills and Treagast[2] question the relative value of Problem Based or Project Based learning in the Australian context. They quote a comparison of problem-based and project-based learning at tertiary level by Perrenet et al[3]. They noted that the similarities between the two strategies are that they are both based on self-direction and collaboration, and that they both have a multidisciplinary orientation. The differences that they noted included: • Project tasks are closer to professional reality • Project work is more directed to the application of knowledge • Project-based learning is usually accompanied by subject courses (eg maths, physics etc. in engineering), whereas problem-based learning is not. • Management of time and resources by the students as well as task and role differentiation is very important in project-based learning • Self-direction is stronger in project work, compared with problem-based learning.
Braytee, A, Catchpoole, DR, Kennedy, PJ & Liu, W 1970, 'Balanced Supervised Non-Negative Matrix Factorization for Childhood Leukaemia Patients', Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM'16: ACM Conference on Information and Knowledge Management, ACM, Indianapolis, Indiana, USA, pp. 2405-2408.
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© 2016 ACM. Supervised feature extraction methods have received considerable attention in the data mining community due to their capability to improve the classification performance of the unsupervised dimensionality reduction methods. With increasing dimensionality, several methods based on supervised feature extraction are proposed to achieve a feature ranking especially on microarray gene expression data. This paper proposes a method with twofold objectives: it implements a balanced supervised non-negative matrix factorization (BSNMF) to handle the class imbalance problem in supervised non-negative matrix factorization techniques. Furthermore, it proposes an accurate gene ranking method based on our proposed BSNMF for microarray gene expression datasets. To the best of our knowledge, this is the first work to handle the class imbalance problem in supervised feature extraction methods. This work is part of a Human Genome project at The Children's Hospital at Westmead (TB-CHW), Australia. Our experiments indicate that the factorized components using supervised feature extraction approach have more classification capability than the unsu-pervised one, but it drastically fails at the presence of class imbalance problem. Our proposed method outperforms the state-of-the-art methods and shows promise in overcoming this concern.
Braytee, A, Liu, W & Kennedy, P 1970, 'A Cost-Sensitive Learning Strategy for Feature Extraction from Imbalanced Data', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Neural Information Processing, Springer International Publishing, Kyoto, Japan, pp. 78-86.
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© Springer International Publishing AG 2016. In this paper, novel cost-sensitive principal component analysis (CSPCA) and cost-sensitive non-negative matrix factorization (CSNMF) methods are proposed for handling the problem of feature extraction from imbalanced data. The presence of highly imbalanced data misleads existing feature extraction techniques to produce biased features, which results in poor classification performance especially for the minor class problem. To solve this problem, we propose a costsensitive learning strategy for feature extraction techniques that uses the imbalance ratio of classes to discount the majority samples. This strategy is adapted to the popular feature extraction methods such as PCA and NMF. The main advantage of the proposed methods is that they are able to lessen the inherent bias of the extracted features to the majority class in existing PCA and NMF algorithms. Experiments on twelve public datasets with different levels of imbalance ratios show that the proposed methods outperformed the state-of-the-art methods on multiple classifiers.
Bremner, MJ, Montanaro, A & Shepherd, D 1970, 'Average-case complexity versus approximate simulation of commuting quantum computations', 19th Conference on Quantum Information Processing, Banff, Canada.
Brereton, M & Van den Hoven, E 1970, 'Session details: Provocations and Work-in-Progress (P-WiP)', Proceedings of the 2016 ACM Conference Companion Publication on Designing Interactive Systems, DIS '16: Designing Interactive Systems Conference 2016, ACM.
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Broadbent, A, Ji, Z, Song, F & Watrous, J 1970, 'Zero-Knowledge Proof Systems for QMA', 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS), 2016 IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS), IEEE, New Brunswick, NJ, pp. 31-40.
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Broekhuijsen, M, Mols, I & van den Hoven, E 1970, 'A holistic design perspective on media capturing and reliving', Proceedings of the 28th Australian Conference on Computer-Human Interaction - OzCHI '16, the 28th Australian Conference, ACM Press, Launceston, Tasmania.
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Bui, HM, Lech, M, Cheng, E, Neville, K, Burnett, IS & IEEE 1970, 'Using Grayscale Images for Object Recognition with Convolutional-Recursive Neural Network', 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE), International Conference on Communications and Electronics (HUT-ICCE), IEEE, Vietnam, pp. 321-325.
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Burdon, SW & Banerjee, A 1970, 'Exploring the role of organizational constraints on creative routines at ABC and BBC productions', British Academy of Management, British Academy of Management, Newcastle, UK.
Butt, S, Gay, VC & Shorab, M 1970, 'Use of Multivariate Function to Identify Chronic Diabetic Patients of Type1 from Health Database in Australia', HISA, HIC, Melbourne.
Bykerk, L, Liu, D & Waldron, K 1970, 'A topology optimisation based design of a compliant gripper for grasping objects with irregular shapes', 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), IEEE, Banff, Canada, pp. 383-388.
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© 2016 IEEE. Complex steel structures such as power transmission towers require regular inspection and maintenance during their lifetime. This work is currently completed by teams of human workers who climb the live structures. The exposure of these workers to the risks of climbing and completing work on towers provides motivation for developing a robotic substitute. There are many complex elements of climbing power transmission towers, such as the variation in beam shapes, sizes and orientations. To the best of our knowledge, there is no existing robotic grasping solution that can be directly used in this complex environment. This paper presents a topology optimisation based design of a compliant gripper for grasping objects with irregular shapes such as the beam members found in power transmission towers. The structure of the gripper is obtained through the use of a modified topology optimisation model where stiffness constraints are implemented in the optimisation to increase the strength of the gripper in desired areas. The stiffness constrained topology optimisation produces a novel gripper design which is validated through both simulations and physical testing of the manufactured gripper on a variety of physical objects.
Cagno, E, Moschetta, D & Trianni, A 1970, 'Only non-energy benefits when adopting an EEM? Cases from industry', Eceee Industrial Summer Study Proceedings, pp. 281-292.
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Considering the industry's contribution to energy and environmental issues, industrial energy efficiency is recognized as a fundamental step for increased sustainability. Energy efficiency in industry is achieved through the adoption of the so-called Energy Efficiency Measures (EEMs). Traditionally, it has been demonstrated how these interventions have both energy benefits, as the reduction of the energy consumption, and the so-called Non-Energy Benefits (NEBs) deriving from the adoption of a certain measure. In the existing literature, however, a considerable part of the scholars and of the practitioners just focus on the identification and definition of the positive benefits deriving from these measures after they have been completely adopted, thus neglecting to describe the full set of either positive and negative effects. Nevertheless, recently, the description of these effects has been accomplished exploiting different approaches. Thus, on the basis of previous literature studies and the emerging needs, that affect both the definition of the entire range of effects and the point of view adopted in their description, we have proposed a novel classification of the relevant items to be considered by an industrial decision-maker when deciding whether to adopt an EEM. Hence, by taking this perspective, we have investigated benefits and losses to ad-hoc selected industries where, through an interview, already adopted EEMs have been analysed. Finally, considerations and implications are drawn from the case studies and suggestion for further research are proposed, in order to improve the description of the EEMs in the industrial sector.
Candra, H, Yuwono, M, Chai, R, Nguyen, HT & Su, S 1970, 'Classification of facial-emotion expression in the application of psychotherapy using Viola-Jones and Edge-Histogram of Oriented Gradient', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, United States, pp. 423-426.
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Psychotherapy requires appropriate recognition of patient's facial-emotion expression to provide proper treatment in psychotherapy session. To address the needs this paper proposed a facial emotion recognition system using Combination of Viola-Jones detector together with a feature descriptor we term Edge-Histogram of Oriented Gradients (E-HOG). The performance of the proposed method is compared with various feature sources including the face, the eyes, the mouth, as well as both the eyes and the mouth. Seven classes of basic emotions have been successfully identified with 96.4% accuracy using Multi-class Support Vector Machine (SVM). The proposed descriptor E-HOG is much leaner to compute compared to traditional HOG as shown by a significant improvement in processing time as high as 1833.33% (p-value = 2.43E-17) with a slight reduction in accuracy of only 1.17% (p-value = 0.0016).
Cao, K, Ye, L, Alqudah, HM, Szymanski, J, Zhou, J & Su, SW 1970, 'Dynamical Estimation of Key Cardiac-respiratory Variables by using Commercialized Wearable Sensors', Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, ACTAPRESS, Zurich, Switzerland, pp. 1-4.
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This paper investigates the estimation of key cardiacrespiratory variables (e.g.,V O2) by using commercialised wearable sensors such as SensorTag and iPhone. The main aim of this study is to use inexpensive and user-friendly wearable sensors rather than expensive and cumbersome equipment (e.g., metabolic analyser). This study also aims to explore the possibility of using only embedded sensors of smart-phone to dynamically estimate oxygen consumption during moderate exercises. The major focus of this research is the modelling of the linear dynamic component. In order to capture the variance of linear dynamic characteristics (e.g., the time constant and steady state gain), we proposed a least square estimation algorithm equipped with automated equilibrium detection function. Finally, the effectiveness of the proposed approaches has been well demonstrated by experimental results.
Carey, B & Johnston, A 1970, 'Reflection on action in NIME research: Two complementary perspectives', Proceedings of the International Conference on New Interfaces for Musical Expression, pp. 377-382.
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This paper discusses practice-based research in the context of live performance with interactive systems. Practicebased research is outlined in depth, with key concepts and approaches contextualised with respect to research in the NIME field. We focus on two approaches, both of which are concerned with documenting, examining and reflecting on the real-world behaviours and experiences of people and artefacts involved in the creation of new works. The first approach is primarily based on reflections by an individual performer/developer (auto-ethnography) and the second on interviews and observations. The rationales for both approaches are presented along with findings from research which applied them in order to illustrate and explore the characteristics of both. Challenges, including the difficulty of balancing rigour and relevance and the risks of negatively impacting on creative practices are articulated, as are the potential benefits.
Carrion Gordon, L & Chaczko, Z 1970, 'Towards Digital Heritage Preservation Framework for Situation and Context Aware for Information Management', eissn: 2010-3778, ICCS 2016: International Conference on Computational Science, Barcelona.
Castro, EL, Ochoa, EA, Merigo Lindahl, JM & Lafuente, AMG 1970, 'Heavy Moving Averages in exchange rate forecasting', 2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), 2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS), IEEE, Univ Texas El Paso, El Paso, TX.
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Cetindamar, D 1970, 'A new role for universities: Technology transfer for social innovations', 2016 Portland International Conference on Management of Engineering and Technology (PICMET), 2016 Portland International Conference on Management of Engineering and Technology (PICMET), IEEE, Honolulu, HI, USA, pp. 290-295.
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© 2016 Portland International Conference on Management of Engineering and Technology, Inc. Universities have played a significant role in stimulating technological change and innovation, the focus has been commercialization of technical knowledge generated within science, technology and mathematics disciplines. Universities have increased disseminating knowledge as well as integration with industry in the form of entrepreneurial university. The transformation of university mission has supported university-industry-government interactions in creating commercial entrepreneurial spinoffs while it neglected to interact with a critical stakeholder of the university: society. To our knowledge, the transfer of knowledge generated within universities into social enterprises / social entrepreneurs has not been studied in the literature. This paper will present the gap in the literature review that might be an invitation for researchers to focus on the topic.
Chaczko, Z, Klempous, R, Nikodem, J & Rozenblit, J 1970, 'Assessment of education process management', 2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI), IEEE, Herlany, Slovakia, pp. 263-267.
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© 2016 IEEE. One of the most important segments of the university education process management seems to be the student knowledge verification as well as support of the monitoring and assessment of the quality of educational programs and related processes. The organization of the examination tests, as well as, the process and methods of student knowledge verification can take a lot of time. This paper elaborates on various aspects of key checking areas related to basis data, information, and knowledge and wisdom skills. Additionally, authors present their experiences with using three different technological solutions taking into an account important human dimensions of the computer based test systems.
Chai, R, Naik, GR, Nguyen, TN, Ling, SH, Tran, Y & Nguyen, HT 1970, 'Selecting optimal EEG channels for mental tasks classification: An approach using ICA', 2016 IEEE Congress on Evolutionary Computation (CEC), 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE, Vancouver, Canada, pp. 1331-1335.
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© 2016 IEEE. This paper presents a systematic method to select optimal electroencephalography (EEG) channels for three mental tasks-based brain-computer interface (BCI) classification. A blind source separation (BSS) technique based on independent component analysis (ICA) with its back-projecting of the scalp map was used for selecting the optimal EEG channels. The three mental tasks included: mental letter composing, mental arithmetic and mental Rubik's cube rolling. Based on a power spectral density (PSD), the features of the two-channel EEG data were extracted, and then were classified by Bayesian neural network. The results of the ICA decomposition with the back-projected scalp map showed that the prominent channels could be selected for dominant features from original six EEG channels (C3, C4, P3, P4, O1, O2) to four dominant channels (P3, O1, C4, O2) with the best two EEG channels selection at O1&C4. Two channel combinations classification yielded to the best two EEG channels of O1&C4 with an accuracy of 76.4%, followed by P3&O2 with an accuracy of 74.5%; P3&C4 with an accuracy of 71.9% and O1&O2 with an accuracy of 70%.
Chai, R, Tran, Y, Naik, GR, Nguyen, TN, Ling, SH, Craig, A & Nguyen, HT 1970, 'Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, pp. 4654-4657.
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© 2016 IEEE. This paper presents an electroencephalography (EEG) based-classification of between pre- and post-mental load tasks for mental fatigue detection from 65 healthy participants. During the data collection, eye closed and eye open tasks were collected before and after conducting the mental load tasks. For the computational intelligence, the system uses the combination of principal component analysis (PCA) as the dimension reduction method of the original 26 channels of EEG data, power spectral density (PSD) as feature extractor and Bayesian neural network (BNN) as classifier. After applying the PCA, the dimension of the data is reduced from 26 EEG channels in 6 principal components (PCs) with above 90% of information retained. Based on this reduced dimension of 6 PCs of data, during eyes open, the classification pre-task (alert) vs. post-task (fatigue) using Bayesian neural network resulted in sensitivity of 76.8 %, specificity of 75.1% and accuracy of 76% Also based on data from the 6 PCs, during eye closed, the classification between pre- and post-task resulted in a sensitivity of 76.1%, specificity of 74.5% and accuracy of 75.3%. Further, the classification results of using only 6 PCs data are comparable to the result using the original 26 EEG channels. This finding will help in reducing the computational complexity of data analysis based on 26 channels of EEG for mental fatigue detection.
Chakraborty, A & Blumenstein, M 1970, 'Marginal Noise Reduction in Historical Handwritten Documents -- A Survey', 2016 12th IAPR Workshop on Document Analysis Systems (DAS), 2016 12th IAPR Workshop on Document Analysis Systems (DAS), IEEE, GREECE, pp. 323-328.
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© 2016 IEEE.This paper presents a survey on different approaches for removing the marginal noise from document images, and anlaysing the research challenges of those methods relating to handwritten historical datasets. In this survey, historical documents collected from Australian Archives and Libraries are introduced and the associated layout complexities of those document images are also described. Benchmarking other historical databases related to this work is also discussed. This survey discusses the difficulties and suitability of the state-of-the-art methods to remove marginal noise as well as preserving the text content from handwritten historical documents. This survey helps researchers to identify appropriate methods according to the associated marginal noise and also illustrates their drawbacks in order to make suggestions for developing approaches, which are more general and robust for any datasets.
Chakraborty, A & Blumenstein, M 1970, 'Preserving Text Content from Historical Handwritten Documents', 2016 12th IAPR Workshop on Document Analysis Systems (DAS), 2016 12th IAPR Workshop on Document Analysis Systems (DAS), IEEE, Santorini, Italy, pp. 329-334.
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© 2016 IEEE.We propose a holistic, dynamic method to preserve text content with zero tolerance while removing marginal noise for historical handwritten document images. The key idea is to identify and analyze the region between the sharp peak at the edge and page frame of the text content at each margin. Depending on the proximity of the sharp peak to the text, the text content is then extracted from the document image. This method automatically adapts thresholds for each single document image and is directly applicable to gray-scale images. The proposed method is evaluated on four diverse handwritten historical datasets: Queensland State Archive (QSA), Saint Gall, Parzival and the Prosecution Project. Experimental results show that the proposed method achieves higher accuracy compared with other methods tested on the Saint Gall and Parzival datasets, whilst for the other two Australian datasets, which have been introduced here for the first time, the results are very encouraging.
Chakraborty, S, Debnath, T, Paul, M, Podder, PK, Gururajan, R & Hafeez-Baig, A 1970, 'An experimental analysis of assessor specific bias in a programming assessment in multi-assessor scenarios utilizing an eye tracker', London International Conference on Education, Infonomics Society, UK, pp. 135-141.
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It has been experienced and reported byacademic institutions around the globe that markingof most subject’s assessment scripts vary whendifferent assessors are utilized for a given subject.To understand the difference, we capture andanalysis cognitive response of assessors through thevisual pattern while they are marking the scripts. Forthis, a Java programming assessment from a real lifeuniversity examination is marked by independentassessors. The assessors marked the scannedassessment scripts on a computer screen in front ofan Eye tracker machine and their eye gaze data wererecorded real time. Data indicate that differentassessors marked the same answer script differentlyand their visual pattern are also varied althoughthey were given the exact same instructions whichdemonstrates bias to a degree. For quality marking,several findings including the number of assessorsneeded are also presented in this manuscript.
Chakraborty, S, Zhou, X, Hafeez-Baig, A, Gururajan, R, Paul, M, Mandal, A, Chacko, AE & Barua, PD 1970, 'Objective analysis of marker bias in higher education', 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), 2016 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), IEEE, Bangkok, THAILAND, pp. 453-457.
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Chalapathy, R, Zare Borzeshi, E & Piccardi, M 1970, 'An Investigation of Recurrent Neural Architectures for Drug Name Recognition', Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis, Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis, Association for Computational Linguistics, Austin, Texas, USA.
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Chalapathy, R, Zare Borzeshi, E & Piccardi, M 1970, 'Bidirectional LSTM-CRF for Clinical Concept Extraction', Proceedings for the Clinical NLP workshop - Bidirectional LSTM-CRF for Clinical Concept Extraction, Clinical Natural Language Programming Workshop, ClinicalNLP, Osaka, Japan.
Chandran, D & Alammari, AM 1970, 'Knowledge management and its impact on knowledge sharing adoption in e-learning communites in Saudi Universites', 25th International Conference on Information Systems Development, ISD 2016, International Conference on Information Systems Development, AISEL, Katowice, Poland, pp. 272-283.
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Knowledge sharing is a significant component of success in knowledge management. In most organisations, knowledge management is often lacking when it comes to knowledge sharing adoption, especially between academic staffs who work in Saudi universities. This paper investigates factors affecting knowledge-sharing adoption among academics in Saudi e-learning communities. A model that will affect the process of knowledge sharing within the e-learning community is proposed. Hypotheses have been developed. Data has been collected in Saudi public universities. Partial Least Square approach has been applied to analyse the data. The findings provide key factors affecting knowledge-sharing adoption among academic staff.
Chang, L, Li, W, Lin, X, Qin, L & Zhang, W 1970, 'pSCAN: Fast and exact structural graph clustering.', ICDE, IEEE International Conference on Data Engineering, IEEE Computer Society, Helsinki, Finland, pp. 253-264.
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© 2016 IEEE. In this paper, we study the problem of structural graph clustering, a fundamental problem in managing and analyzing graph data. Given a large graph G = (V, E), structural graph clustering is to assign vertices in V to clusters and to identify the sets of hub vertices and outlier vertices as well, such that vertices in the same cluster are densely connected to each other while vertices in different clusters are loosely connected to each other. Firstly, we prove that the existing SCAN approach is worst-case optimal. Nevertheless, it is still not scalable to large graphs due to exhaustively computing structural similarity for every pair of adjacent vertices. Secondly, we make three observations about structural graph clustering, which present opportunities for further optimization. Based on these observations, in this paper we develop a new two-step paradigm for scalable structural graph clustering. Thirdly, following this paradigm, we present a new approach aiming to reduce the number of structural similarity computations. Moreover, we propose optimization techniques to speed up checking whether two vertices are structure-similar to each other. Finally, we conduct extensive performance studies on large real and synthetic graphs, which demonstrate that our new approach outperforms the state-of-the-art approaches by over one order of magnitude. Noticeably, for the twitter graph with 1 billion edges, our approach takes 25 minutes while the state-of-the-art approach cannot finish even after 24 hours.
Chang, X, Yang, Y, Long, G, Zhang, C & Hauptmann, AG 1970, 'Dynamic Concept Composition for Zero-Example Event Detection', 30th AAAI Conference on Artificial Intelligence, AAAI 2016, AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, Phoenix, Arizona, United States, pp. 3464-3470.
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In this paper, we focus on automatically detecting events in unconstrainedvideos without the use of any visual training exemplars. In principle,zero-shot learning makes it possible to train an event detection model based onthe assumption that events (e.g. \emph{birthday party}) can be described bymultiple mid-level semantic concepts (e.g. 'blowing candle', 'birthday cake').Towards this goal, we first pre-train a bundle of concept classifiers usingdata from other sources. Then we evaluate the semantic correlation of eachconcept \wrt the event of interest and pick up the relevant conceptclassifiers, which are applied on all test videos to get multiple predictionscore vectors. While most existing systems combine the predictions of theconcept classifiers with fixed weights, we propose to learn the optimal weightsof the concept classifiers for each testing video by exploring a set of onlineavailable videos with free-form text descriptions of their content. To validatethe effectiveness of the proposed approach, we have conducted extensiveexperiments on the latest TRECVID MEDTest 2014, MEDTest 2013 and CCV dataset.The experimental results confirm the superiority of the proposed approach.
Chang, X, Yu, Y-L, Yang, Y & Xing, EP 1970, 'They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers', 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Las Vegas, Nevada, United States, pp. 1884-1893.
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© 2016 IEEE. Complex event detection on unconstrained Internet videos has seen much progress in recent years. However, state-of-the-art performance degrades dramatically when the number of positive training exemplars falls short. Since label acquisition is costly, laborious, and time-consuming, there is a real need to consider the much more challenging semantic event search problem, where no example video is given. In this paper, we present a state-of-the-art event search system without any example videos. Relying on the key observation that events (e.g. dog show) are usually compositions of multiple mid-level concepts (e.g. 'dog,' 'theater,' and 'dog jumping'), we first train a skip-gram model to measure the relevance of each concept with the event of interest. The relevant concept classifiers then cast votes on the test videos but their reliability, due to lack of labeled training videos, has been largely unaddressed. We propose to combine the concept classifiers based on a principled estimate of their accuracy on the unlabeled test videos. A novel warping technique is proposed to improve the performance and an efficient highly-scalable algorithm is provided to quickly solve the resulting optimization. We conduct extensive experiments on the latest TRECVID MEDTest 2014, MEDTest 2013 and CCV datasets, and achieve state-of-the-art performances.
Chau Nguyen, TM, Hoang, DB & Chaczko, Z 1970, 'Can SDN Technology Be Transported to Software-Defined WSN/IoT?', 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2016 IEEE International Conference on Internet of Things (iThings), IEEE Green Computing and Communications (GreenCom), IEEE Cyber-, Physical and Social Computing (CPSCom), and IEEE Smart Data (SmartData), IEEE, Chengdu, China, pp. 234-239.
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© 2016 IEEE. Wireless sensor networks (WSNs) are essential elements of the Internet of Things ecosystem, as such, they encounter numerous IoT challenging architectural, management and application issues. These include inflexible control, manual configuration and management of sensor nodes, difficulty in an orchestration of resources, and virtualizing sensor network resources for on-demand applications and services. Addressing these issues presents a real challenge for WSNs and IoTs. By separating the network control plane from the data forwarding plane, Software-defined networking (SDN) has emerged as network technology that addresses similar problems of current switched-networks. Despite the differences between switched network and wireless sensor network domains, the SDN technology has a real potential to revolutionize WSNs/IoTs and address their challenging issues. However, very little has been attempted to bring the SDN paradigm to WSNs. This paper identifies weaknesses of existing research efforts that aims to bring the benefits of SDN to WSNs by mapping the control plane, the OpenFlow protocol, and the functionality between the two network domains. In particular, the paper investigates the difficulties and challenges in the development of software-defined wireless sensor networking (SDWSN). Finally, the paper proposes VSensor, SDIoT controller, SFlow components with specific and relevant functionality for an architecture of an SDWSN or SDIoT infrastructure.
Cheema, P, Khoa, NLD, Makki Alamdari, M, Liu, W, Wang, Y, Chen, F & Runcie, P 1970, 'On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data', Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM'16: ACM Conference on Information and Knowledge Management, ACM, Indianapolis, Indiana, USA, pp. 1813-1822.
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© 2016 ACM. Structural health monitoring is a condition-based technology to monitor infrastructure using sensing systems. Since we usually only have data associated with the healthy state of a structure, one-class approaches arc more practical. However, tuning the parameters for one-class techniques (like one-class Support Vector Machines) still remains a relatively open and difficult problem. Moreover, in structural health monitoring, data arc usually multi-way, highly redundant and correlated, which a matrix-based two-way approach cannot capture all these relationships and correlations together. Tensor analysis allows us to analyse the multi-way vibration data at the same time. In our approach, we propose the use of tensor learning and support vector machines with artificial negative data generated by density estimation techniques for damage detection, localization and estimation in a one-class manner. The artificial negative data can help tuning SVM parameters and calibrating probabilistic outputs, which is not possible to do with one-class SVM. The proposed method shows promising results using data from laboratory-based structures and also with data collected from the Sydney Harbour Bridge, one of the most iconic structures in Australia. The method works better than the one-class approach and the approach without using tensor analysis.
Chen, Q, Lan, C, Li, J, Chen, B, Wang, L & Zhang, C 1970, 'Depth-First Search Encoding of RNA Substructures', Intelligent Computing Theories and Application, International Conference on Intelligent Computing (ICIC), Springer International Publishing, Lanzhou, China, pp. 328-334.
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© Springer International Publishing Switzerland 2016.RNA structural motifs are important in RNA folding process. Traditional index-based and shape-based schemas are useful in modeling RNA secondary structures but ignore the structural discrepancy of individual RNA family member. Further, the in-depth analysis of underlying substructure pattern is underdeveloped owing to varied and unnormalized substructures. This prevents us from understanding RNAs functions. This article proposes a DFS (depth-first search) encoding for RNA substructures. The results show that our methods are useful in modelling complex RNA secondary structures.
Chen, S, Chen, S, Wang, Z, Liang, J, Yuan, X, Cao, N & Wu, Y 1970, 'D-Map: Visual analysis of ego-centric information diffusion patterns in social media', 2016 IEEE Conference on Visual Analytics Science and Technology (VAST), 2016 IEEE Conference on Visual Analytics Science and Technology (VAST), IEEE, Baltimore, MD, USA, pp. 41-50.
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© 2016 IEEE. Popular social media platforms could rapidly propagate vital information over social networks among a significant number of people. In this work we present D-Map (Diffusion Map), a novel visualization method to support exploration and analysis of social behaviors during such information diffusion and propagation on typical social media through a map metaphor. In D-Map, users who participated in reposting (i.e., resending a message initially posted by others) one central user's posts (i.e., a series of original tweets) are collected and mapped to a hexagonal grid based on their behavior similarities and in chronological order of the repostings. With additional interaction and linking, D-Map is capable of providing visual portraits of the influential users and describing their social behaviors. A comprehensive visual analysis system is developed to support interactive exploration with D-Map. We evaluate our work with real world social media data and find interesting patterns among users. Key players, important information diffusion paths, and interactions among social communities can be identified.
Chen, S, Wang, Z, Liang, J & Yuan, X 1970, 'Uncertainty-aware Visual Analytics for Exploring Human Behaviors from Heterogeneous Spatial Temporal Data', Proceedings of the Third Conference of China Visualization and Visual Analytics (ChinaVis'16), the Third Conference of China Visualization and Visual Analytics (ChinaVis'16), Changsha, China.
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When analyzing human behaviors, we need to construct the humanbehaviors from multiple sources of data, e.g. trajectory data, transactiondata, identity data, etc. The problem we’re facing is the dataconflicts, different resolution, missing and conflicting data, whichtogether lead to the uncertainty in the spatial temporal data. Suchuncertainty in data leads to difficulties even failure in the visualanalytics task for analyzing people behavior, pattern and outliers.However, traditional automatic methods can not solve the problemsin such complex scenario, where the uncertain and conflicting patternsare not well-defined. To solve the problems, we proposed asemi-automatic approach, for users to solve the conflicts and identifythe uncertainties. To be general, We summarized five types ofuncertainties and solutions to conduct the tasks of behavior analysis.Combined with the uncertainty-aware methods, we proposed avisual analytics system to analyze human behaviors, detect patternsand find outliers. Case studies from the IEEE VAST Challenge2014 dataset confirms the effectiveness of our approach.
Chen, W, Deng, W & Goldys, EM 1970, 'Enhanced gene silencing mediated by photoresponsive liposomes', SPIE Proceedings, SPIE BioPhotonics Australasia, SPIE.
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Chen, X, Guo, YJ, Qin, PY & Fu, G 1970, 'Low-cost 3D printed compact circularly polarized antenna with high efficiency and wide beamwidth', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, Queensland, Australia, pp. 497-500.
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© 2016 IEEE. A novel compact circularly polarized (CP) microstrip antenna is presented. The antenna introduces a circular radiation patch with a crossed slot to improve the impedance matching and reduce the antenna sizes. Meanwhile, triangular feed patches are adopted to increase the bandwidth. A no-resistor series feed line is used for achieving a high antenna efficiency. Based on the above method, the antenna is constructed by three low-cost PCBs which form a solid and light structure. The profile and the diameter of the antenna are just 0.064λ0 and 0.28λ0 respectively (λ0 is the wavelength in free space). The impedance bandwidth for VSWR≤2 is 20.8%, and the AR bandwidth for AR≤3dB is 8.3%. In the overlap band, the radiation efficiency can reaches more than 95%, and the gains are over 5.2dBic. Especially, the beamwidth for AR≤3dB can cover more than 128°.
Chen, Y, Li, X, Li, L, Liu, G & Xu, G 1970, 'Modeling User Mobility via User Psychological and Geographical Behaviors Towards Point of-Interest Recommendation', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Database Systems for Advanced Applications, Springer International Publishing, Dallas, Texas, USA, pp. 364-380.
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© Springer International Publishing Switzerland 2016. The pervasive employments of Location-based Social Network call for precise and personalized Point-of-Interest (POI) recommendation to predict which places the users prefer. Modeling user mobility, as an important component of understanding user preference, plays an essential role in POI recommendation. However, existing methods mainly model user mobility through analyzing the check-in data and formulating a distribution without considering why a user checks in at a specific place from psychological perspective. In this paper, we propose a POI recommendation algorithm modeling user mobility by considering check-in data and geographical information. Specifically, with check-in data, we propose a novel probabilistic latent factor model to formulate user psychological behavior from the perspective of utility theory, which could help reveal the inner information underlying the comparative choice behaviors of users. Geographical behavior of all the historical check-ins captured by a power law distribution is then combined with probabilistic latent factor model to form the POI recommendation algorithm. Extensive evaluation experiments conducted on two real-world datasets confirm the superiority of our approach over state-of-the-art methods.
Cheng, Q, Fang, G, Nguyen, D & Dutkiewicz, E 1970, 'Novel pilot decontamination methods for Massive MIMO systems under practical scenarios', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Qingdao, PEOPLES R CHINA, pp. 77-81.
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© 2016 IEEE. Accurate and efficient channel estimation methods have the ability to realize the theoretical gain in multi-input multi-output (Massive MIMO) systems which have a massive number of antennas. However, the pilot contamination in Massive MIMO channel estimation process, rooted from the pilot reuse, is a critical problem that severely degrades the performance of the system. This work aims to address the problem of pilot contamination in covariance-aided channel estimation meth-ods while considering practical scenarios where the channel covariance matrices change due to a new user arrival and users mobility. To that end, we first design a method to track the channel covariance matrices and then use these estimated values in Bayesian estimation. Simulation results indicate that the normalized mean square error (NMSE) for both channel covariance matrices and the CSI itself of our proposed methods are much lower than those of classical methods based on least square (LS) and Bayesian estimation. Additionally, for the case that users move slowly (e.g., at walking speed), our proposed method can provide satisfactory performance for more than three times as much as classical Bayesian estimation before system re-train channel covariance matrices. In other words, compared with classical Bayesian methods, our proposed methods are able to get good system performance with less overhead and complexity by a lower frequency of re-training process.
Chinchore, A, Xu, G & Jiang, F 1970, 'Classifying Sybil in MSNs using C4.5', 2016 INTERNATIONAL CONFERENCE ON BEHAVIORAL, ECONOMIC AND SOCIO-CULTURAL COMPUTING (BESC), IEEE/ACM International Conference on Behavioral, Economic, Socio-Cultural Computing (BESC), IEEE, Durham, NC, pp. 145-150.
Cho, N-H, Wu, Q, Xu, J & Zhang, J 1970, 'Content Authoring Using Single Image in Urban Environments for Augmented Reality', 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, Gold Coast, Australia, pp. 1-7.
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© 2016 IEEE. Content authoring is one of essentials of Augmented Reality (AR), which is to emplace an augmented content on a true part of a real scene in order to enhance users' visual experience. For the case of street view single 2D images, the challenge emerges because of clutter environments and unknown position and orientation related to camera pose. Although existing methods based on 2D feature point matching or vanishing point registration may recover the camera pose, the robustness is always challenging because of the uncertainty of feature point detection on texture-less region and displacement of vanishing point detection caused by irregular lines detected on the scene. By taking the advantages of characteristics of the man-made object (e.g. building) widely seen on the street view, this paper proposes a simple yet efficient content authoring approach. In this approach, the building dominant plane where the virtual object will be emplaced is detected and then projected to the frontal-parallel view on which the virtual object can be reliably emplaced. Once the virtual object and the true scene are embedded to each other on the frontal-parallel view, they are able to be converted back to the original view using inverse projection without any distortion. Experiments on public databases show that the proposed method can recover camera pose and implement content emplacement with promising performance.
Christensen, J, Rasmussen, J, Halkon, B & Koike, S 1970, 'The Development of a Methodology to Determine the Relationship in Grip Size and Pressure to Racket Head Speed in a Tennis Forehand Stroke', Procedia Engineering, 11th Conference of the International Sports Engineering Association (ISEA), Elsevier BV, Delft, NETHERLANDS, pp. 787-792.
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© 2016 The Authors. Published by Elsevier Ltd. This study developed a methodology to examine the effects of grip size and grip firmness on the kinematic contribution of angular velocity (KCAV) to the generation of racket head speed during a topspin tennis forehand. The KCAV is subdivided into kinematic contribution of joint angular velocity and kinematic contribution of the body segments in the upper trunk translational and angular velocities. Two Babolat Pure Storm GT rackets, with grip sizes 2 and 4 respectively, were used with Tekscan 9811E pressure sensors applied to the handles to examine pressure distribution during the stroke. Upper body kinematic data taken from the racket arm and trunk were obtained by means of a Vicon motion capture system. One elite male tennis player was recruited. Fifty topspin forehand strokes per grip at two nominal grip pressures were performed in a laboratory environment with balls being tossed towards the player and struck on the bounce towards a target on a net in as consistent a way as practically achievable. Processing of the results showed that the firm grip condition led to a significant (p<0.001) increase in average racket head speed compared to a normal grip condition. The normal gripping condition resulted in a significant (p<0.001) increase in average racket head speed for grip size 2 compared to grip size 4. A trend in negative linear relationships was found between upper trunk and shoulder joint in KCAV across conditions. Using the smaller grip also led to a trend in negative linear relationship between shoulder joint and wrist joint in KCAV across grip conditions. Grip pressure for grip size 2 showed the same pattern across gripping conditions. From 50-75% of completion in forward swing, the pressure difference due to grip firmness decreased. This feasibility study managed to quantify the KCAV while performing a topspin forehand, with respect to changing of grip size and grip pressure in an elite male tenni...
Clement, S, Deng, W, Camilleri, E, Wilson, B & Goldys, E 1970, 'Towards photodynamic therapy with ionizing radiation: nanoparticle-mediated singlet oxygen generation(Conference Presentation)', Colloidal Nanoparticles for Biomedical Applications XI, Colloidal Nanoparticles for Biomedical Applications XI, SPIE, San Francisco, CA.
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Clemon, LM 1970, 'Energy and emission estimation uncertainty in fused deposition modeling for a job-shop', Solid Freeform Fabrication 2016: Proceedings of the 27th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference, SFF 2016, Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference, University of Texas, Austin, Texas USA, pp. 1878-1889.
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Solid freeform fabrication has the potential to affect both financial and environmental concerns for manufacturing enterprises. However, when planning for installation of a new machine tool, accurate energy usage estimation relies heavily on the data and model selections of the estimator. This project used a variety data sources and model decision options to examine the spread of energy consumption and global warming potential estimates for a fused deposition modeling machine. In addition to primary and secondary data sources, the use of similar machines was explored as proxy estimates for the target machine. A Monte Carlo simulation was constructed to vary the model selections, machine utilization, and data sources. The results indicated data sources and model decisions had large effects on the output and that most model estimates were low.
Conway, D, Chen, F, Yu, K, Zhou, J & Morris, R 1970, 'Misplaced Trust', Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, CHI'16: CHI Conference on Human Factors in Computing Systems, ACM, pp. 3035-3041.
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Human-machine trust is a critical mitigating factor in many HCI instances. Lack of trust in a system can lead to system disuse whilst over-trust can lead to inappropriate use. Whilst human-machine trust has been examined extensively from within a technicosocial framework, few efforts have been made to link the dynamics of trust within a steady-state operatormachine environment to the existing literature of the psychology of learning. We set out to recreate a commonly reported learning phenomenon within a trust acquisition environment: Users learning which algorithms can and cannot be trusted to reduce traffic in a city. We failed to replicate (after repeated efforts) the learning phenomena of 'blocking', resulting in a finding that people consistently make a very specific error in trust assignment to cues in conditions of uncertainty. This error can be seen as a cognitive bias and has important implications for HCI.
Croaker, P, Moreau, D, Karimi, M & Kessissoglou, N 1970, 'Low Mach number flow induced noise prediction of wall mounted airfoil using a hybrid RANS-BEM technique', 2nd Australasian Acoustical Societies Conference, ACOUSTICS 2016, Acoustics 2016, Brisbane, Australia, pp. 1149-1156.
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A hybrid RANS-BEM technique for the prediction of low Mach number flow induced noise produced by a body immersed in the flow is presented. A steady-state Reynolds Averaged Navier-Stokes (RANS) simulation is used to obtain turbulence statistics and mean flow data of the flow. Statistical noise sources are then determined from the mean flow and turbulence statistics by employing a model for the turbulence cross spectrum. These noise sources are then combined with a boundary element method (BEM) model of the body to predict the aeroacoustic scattering and the far-field noise. The hybrid RANS-BEM technique is applied to predict the flow-induced noise produced by flow past a wall mounted NACA0012 airfoil, with Reynolds number based on chord of Rec=1.1×106 and a Mach number of M=0.12 at zero angle of attack. The results are in good agreement with experimental results.
Cui, H, Wang, X, Zhou, J, Gong, G, Yin, Y, Zheng, F & Feng, D 1970, 'Learning multi-modality local and global affinities in graph based ranking for automated lung tumor delineation', 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016), IEEE, Prague, CZECH REPUBLIC, pp. 948-951.
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Cui, SX, Ji, Z, Yu, N & Zeng, B 1970, 'Quantum capacities for entanglement networks', 2016 IEEE International Symposium on Information Theory (ISIT), 2016 IEEE International Symposium on Information Theory (ISIT), IEEE, Barcelona, Spain, pp. 1685-1689.
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We discuss quantum capacities for two types of entanglement networks: Q for the quantum repeater network with free classical communication, and R for the tensor network as the rank of the linear operation represented by the tensor network. We find that Q always equals R in the regularized case for the same network graph. However, the relationships between the corresponding one-shot capacities Q1 and R1 are more complicated, and the min-cut upper bound is in general not achievable. We show that the tensor network can be viewed as a stochastic protocol with the quantum repeater network, such that R1 is a natural upper bound of Q1. We analyze the possible gap between R1 and Q1 for certain networks, and compare them with the one-shot classical capacity of the corresponding classical network.
Cui, Y, Poon, J, Matsubara, T, Miro, JV, Sugimoto, K & Yamazaki, K 1970, 'Environment-adaptive interaction primitives for human-robot motor skill learning', 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), IEEE, Cancun, Mexico, pp. 711-717.
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© 2016 IEEE. In complex environments where robots are expected to co-operate with human partners, it is vital for the robot to consider properties of their collaborative activity in addition to the behavior of its partner. In this paper, we propose to learn such complex interactive skills by observing the demonstrations of a human-robot team with additional external attributes. We propose Environment-adaptive Interaction Primitives (EalPs) as an extension of Interaction Primitives. In cooperation tasks between human and robot with different environmental conditions, EalPs not only improve the predicted motor skills of robot within a brief observed human motion, but also obtain the generalization ability to adapt to new environmental conditions by learning the relationships between each condition and the corresponding motor skills from training samples. Our method is validated in the collaborative task of covering objects by plastic bag with a humanoid Baxter robot. To achieve the task successfully, the robot needs to coordinate itself to its partner while also considering information about the object to be covered.
Cui, Y, Poon, JT, Valls Miro, J, Matsubara, T & Sugimoto, K 1970, 'Optimal Control Approach for Active Local Driving Assistance in Mobility Aids', 34th annual conference of the Robotics Society of Japan (RSJ), 34th annual conference of the Robotics Society of Japan (RSJ), Japan.
Dah-Chuan Lu, D, Wu, M & Cheng, T 1970, 'Using cross regulation in single-switch single-inductor dual-output CCM boost converter to simplify controller design', 2016 IEEE International Conference on Industrial Technology (ICIT), 2016 IEEE International Conference on Industrial Technology (ICIT), IEEE, Taiwan, pp. 390-395.
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© 2016 IEEE.Cross regulation of single-inductor multiple-output (SIMO) boost dc/dc converter is usually considered as a key factor that degrades the voltage regulation of individual outputs. Analysis of the cross coupling of a single-switch single-input dual-output (SIDO) boost converter operating in continuous conduction mode (CCM) reveals that it is an automatic current feedback mechanism during converter operation, which, however, can improve steady-state voltage regulation of both outputs. It is possible to use this natural cause to simplify the PWM controller design. That is, only one output needs to be sensed and regulated. The other output will be regulated accordingly. The drawback is the transient response of one output will share by another output Low-frequency model of a SIDO boost converter is derived and analyzed to reveal such phenomenon. A single Type-in PWM controller is designed for one of the outputs but is able obtain both regulated outputs. The analysis and design are verified by both simulation and experimental results.
Dang, DNM, Ngo, QT, Dang, HN & Hong, CS 1970, 'A Multi-channel MAC Protocol with Power Control for Wireless Ad Hoc Networks', Springer International Publishing, pp. 63-73.
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Dang, J, Shen, X, Castel, A & Aldred, J 1970, 'Monitoring Apparent pH Value in Geopolymer Concrete Using Glass Electrode', Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), 33th International Symposium on Automation and Robotics in Construction, International Association for Automation and Robotics in Construction (IAARC), pp. 547-554.
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Geopolymer concrete (GPC) is estimated to reduce 80% carbon footprint in construction projects compared with ordinary Portland cement (OPC). Previous studies on GPC have been focusing on assessment of paste or mortar while the long-term durability of GPC has not been extensively investigated yet. This research aims to monitor carbonation process of GPC by measuring in-situ apparent pH value under accelerated carbonation test in laboratory environment. Glass pH electrode is typically applied for liquid medium and considered to be unsuitable for OPC due to high alkaline condition. We have endeavoured to test the glass electrode in GPC assuming the alkalinity in GPC would be much lower than OPC. Two pH probe sensors were embedded into GPC specimens with different depth and seal condition. After 18 hours heat cures and 7 days curing in ambient environment, one of GPC specimens was then relocated to a carbonation chamber with 1% carbon dioxide concentration. The glass electrodes were found to survive the GPC environment with realtime apparent pH value registered since the GPC specimens were poured. It is also observed that the apparent pH values were affected significantly by the level of humidity inside the concrete. Saturation experiments were then conducted to provide valid pH readings. As a result, we successfully monitored pH decreasing from 11.1 to 10.76 after three months carbonation experiment. The results are also validated by comparing against the data acquired by traditional concrete grinding test. The research features the first trial of its kind and has contributed to comprehensive understanding about corrosion mechanism of the new GPC material.
Dang, LC, Dang, CC, Khabbaz, H & Fatahi, B 1970, 'Numerical Assessment of Fibre Inclusion in a Load Transfer Platform for Pile-Supported Embankments over Soft Soil', Geo-China 2016, Fourth Geo-China International Conference, American Society of Civil Engineers, Shandong, China, pp. 148-155.
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© 2016 ASCE. This study presents the results of a numerical investigation in the performance of natural fibre reinforced load transfer platform (NFRLTP) for pile supported embankment construction over soft soil. A numerical analysis based on finite element method (FEM) was carried out on an NFRLTP pile-supported embankment in a two-dimensional plane strain condition. The effects of natural fibre inclusion in the load transfer platform on the stress transfer mechanism, generation and dissipation of excess pore water pressure have been analyzed and discussed in detail. The findings indicate that natural fibre reinforced soil as a load transfer platform facilitated the load transfer process from the embankment to piles, while decreases the intensity of load transferred to soft soil, the excess pore water pressure and the overall settlement.
Dang, TD & Hoang, D 1970, 'Data Mobility as a Service', 2016 IEEE 36th International Conference on Distributed Computing Systems Workshops (ICDCSW), 2016 IEEE 36th International Conference on Distributed Computing Systems Workshops (ICDCSW), IEEE, Nara, Japan, pp. 67-71.
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Cloud computing and cloud services provide an alternative IT infrastructure and service models for users. The users use cloud to store their data, delegate the management of the data, and deploy their services cost-effectively. This usage model, however, raised a number of concerns relating to data control, data protection and data mobility: 1) users may lose control of their resource; 2) data protection schemes are not
adequate when data is moved to a new cloud; 3) tracking and
tracing changes of data location as well as accountability of data
operations are not well supported. To address these issues, this
paper proposes a novel cloud service for data mobility from two
aspects: data mobility and data protection. A data mobility
service is designed and implemented to manage data mobility and
data traceability. A Location Register Database (LRD) is also
developed to support the service. Furthermore, data is protected
by a data security service CPRBAC (Cloud-based Privacy-aware
Role Based Access Control) and an Auditing service that are
capable of verifying data operations and triggering alarms on
data violations in the Cloud environment.
Dang, TD, Hoang, D & Nanda, P 1970, 'A novel hash-based file clustering scheme for efficient distributing, storing, and retrieving of large scale health records', Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016, International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE, Tianjin, China, pp. 1485-1491.
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Cloud computing has been adopted as an efficient computing infrastructure model for provisioning resources and providing services to users. Several distributed resource models such as Hadoop and parallel databases have been deployed in healthcare-related services to manage electronic health records (EHR). However, these models are inefficient for managing a large number of small files and hence they are not widely deployed in Healthcare Information Systems. This paper proposed a novel Hash-Based File Clustering Scheme (HBFC) to distribute, store and retrieve EHR efficiently in cloud environments. The HBFC possesses two distinctive features: it utilizes hashing to distribute files into clusters in a control way and it utilizes P2P structures for data management. HBFC scheme is demonstrated to be effective in handling big health data that comprises of a large number of small files in various formats. It allows users to retrieve and access data records efficiently. The initial implementation results demonstrate that the proposed scheme outperforms original P2P system in term of data lookup latency.
Daniel, S & Mulhall, P 1970, 'Changing attitudes to learning physics through participation in the Victorian Young Physicists’ Tournament', Deakin STEMEd Conference, Waurn Ponds.
Daniel, SA, Mann, LMW & Mazzolini, AP 1970, 'A phenomenography of lecturing', 44th Annual Conference of the European Society for Engineering Education - Engineering Education on Top of the World: Industry-University Cooperation, SEFI 2016.
Das, A, Mondal, P, Pal, U, Ferrer, MA & Blumenstein, M 1970, 'Fast and efficent multimodal eye biometrics using projective dictionary pair learning', 2016 IEEE Congress on Evolutionary Computation (CEC), 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE, Vancouver, Canada, pp. 1402-1408.
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© 2016 IEEE.This work proposes a projective pairwise dictionary learning-based approach for fast and efficient multimodal eye biometrics. The work uses a faster Projective pairwise Discriminative Dictionary Learning (DL) in contrast to the traditional DL which uses synthesis DL. Projective Pairwise Discriminative Dictionary (PPDD) uses a synthesis dictionary and an analysis dictionary jointly to achieve the goal of pattern representation and discrimination. As the PPDD process of DL is in contrast to the use of l0 or l1-norm sparsity constraints on the representation coefficients adopted in most traditional DL, it works faster than other DL. Moreover, the blending of synthesis dictionary and an analysis dictionary also enhance the feature representation of the complex eye patterns. We employed the combination of sclera and iris traits to establish multimodal biometrics. The experimental study and analysis conducted fulfill the hypothesis we considered. In this work we employed a part of the UBIRIS version 1 dataset to conduct the experiments.
Das, A, Pal, U, Ferrer, MA & Blumenstein, M 1970, 'SSRBC 2016: Sclera Segmentation and Recognition Benchmarking Competition', 2016 International Conference on Biometrics (ICB), 2016 International Conference on Biometrics (ICB), IEEE, Halmstad, Sweden.
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© 2016 IEEE.This article reports and summarizes the results of a competition on sclera segmentation and recognition benchmarking, called Sclera Segmentation and Recognition Benchmarking Competition 2016 (SSRBC 2016). It was organized in the context of the 9th IAPR International Conference on Biometrics (ICB 2016). The goal of this competition was to record the recent developments in sclera segmentation and recognition, and also to gain the attention of researchers on this subject of biometrics. In this regard, we have used a multi-angle sclera dataset (MASD version 1). It is comprised of 2624 images taken from both the eyes of 82 identities. Therefore, it consists of images of 164 (82∗2) different eyes. We have prepared a manual segmentation mask of these images to create the baseline for both tasks. We have, furthermore, adopted precision and recall based statistical measures to evaluate the effectiveness of the segmentation and the ranks of the competing algorithms. The recognition accuracy measure has been employed to measure the recognition task. To summarize, twelve participants registered for the competition, and among them, three participants submitted their algorithms/ systems for the segmentation task and two their recognition algorithm. The results produced by these algorithms reflect developments in the literature of sclera segmentation and recognition, employing cutting edge segmentation techniques. Along with the algorithms of three competing teams and their results, the MASD version 1 dataset will also be freely available for research purposes from the organizer's website. The competition also demonstrates the recent interests of researchers from academia as well as industry on this subject of biometrics.
de Vries, NJ, Arefin, AS, Mathieson, L, Lucas, B & Moscato, P 1970, 'Relative Neighborhood Graphs Uncover the Dynamics of Social Media Engagement', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Advanced Data Mining and Applications, Springer International Publishing, Gold Coast, Queensland, Australia, pp. 283-297.
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In this paper, we examine if the Relative Neighborhood Graph (RNG) can reveal related dynamics of page-level social media metrics. A statistical analysis is also provided to illustrate the application of the method in two other datasets (the Indo-European Language dataset and the Shakespearean Era Text dataset). Using social media metrics on the world’s ‘top check-in locations’ Facebook pages dataset, the statistical analysis reveals coherent dynamical patterns. In the largest cluster, the categories ‘Gym’, ‘Fitness Center’, and ‘Sports and Recreation’ appear closely linked together in the RNG. Taken together, our study validates our expectation that RNGs can provide a “parameter-free" mathematical formalization of proximity. Our approach gives useful insights on user behaviour in social media page-level metrics as well as other applications.
Deng, W, Kautzka, Z & Goldys, EM 1970, 'Enhanced singlet oxygen generation from PLGA loaded with verteporfin and gold nanoparticles', SPIE Proceedings, SPIE BioPhotonics Australasia, SPIE, Adelaide, AUSTRALIA.
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Deuse, J, Grötsch, A, Stankiewicz, L & Wischniewski, S 1970, 'A Customizable Digital Human Model for Assembly System Design', Advances in Intelligent Systems and Computing, Springer International Publishing, pp. 167-178.
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© Springer International Publishing Switzerland 2016. For a wholesome and comprehensive planning and design of future hybrid work systems and adaptive workplace assistance systems, several components of these systems are to be considered in detail. To ensure a human-centered and safe prospective planning and design process, these components need to be thoroughly investigated already in early stages of the simulation and virtual environment. In his context, especially the joint workplaces of humans and robots are of increasing importance for industrial assembly systems. For the planning process, existing software in Computer-Aided-Engineering (CAE) provides the possibility to incorporate the factor human by means of digital human models (DHMs) as well as robots by implementing e.g. robot trajectories, path planning and specific factory characteristics. Both partners show the potential to be incorporated in a simulation tool that accounts for the flexibility of robotic technology as well as the variability of the human body, anthropometrically and biomechanically. For an accurate description and simulation of a hybrid work system it is necessary to align the DHM individually to the employee’s anthropometric data and physical performance parameters. These data can be recorded with motion capturing methods and systems and serve as a basis for the human-centered design and planning process of adaptive work assistance in assembly systems and technologies.
Di, P & Sui, Y 1970, 'Accelerating Dynamic Data Race Detection Using Static Thread Interference Analysis', Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores, PPoPP '16: 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, ACM, pp. 30-39.
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Copyright © 2016 ACM. Precise dynamic race detectors report an error if and only if more than one thread concurrently exhibits conict on a memory access. They insert instrumentations at compiletime to perform runtime checks on all memory accesses to ensure that all races are captured and no spurious warnings are generated. However, a dynamic race check for a particular memory access statement is guaranteed to be redundant if the statement can be statically identified as thread interference-free. Despite significant recent advances in dynamic detection techniques, the redundant check remains a critical factor that leads to prohibitive overhead of dynamic race detection for multithreaded programs. In this paper, we present a new framework that eliminates redundant race check and boosts the dynamic race detection by performing static optimizations on top of a series of thread interference analysis phases. Our framework is implemented on top of LLVM 3.5.0 and evaluated with an industry dynamic race detector TSAN which is available as a part of LLVM tool chain. 11 benchmarks from SPLASH2 are used to evaluate the effectiveness of our approach in accelerating TSAN by eliminating redundant interference-free checks. The experimental result demonstrates our new approach achieves from 1.4x to 4.0x (2.4x on average) speedup over original TSAN under 4 threads setting, and achieves from 1.3x to 4.6x (2.6x on average) speedup under 16 threads setting.
Dileep Kumar, K, Krishna Reddy, P, Balakrishna Reddy, P & Cao, L 1970, 'Improving the Performance of Collaborative Filtering with Category-Specific Neighborhood', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Asian Conference on Intelligent Information and Database Systems (ACIIDS), Springer Berlin Heidelberg, Da Nang, Vietnam, pp. 201-210.
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© Springer-Verlag Berlin Heidelberg 2016.Recommender system (RS) helps customers to select appropriate products from millions of products and has become a key component in e-commerce systems. Collaborative filtering (CF) based approaches are widely employed to build RSs. In CF, recommendation to the target user is computed after forming the corresponding neighbourhood of users. Neighborhood of a target user is extracted based on the similarity between the product rating vector of the target user and the product rating vectors of individual users. In CF, the methodology employed for neighborhood formation influences the performance. In this paper, we have made an effort to improve the performance of CF by proposing a different approach to compute recommendations by considering two kinds of neighborhood. One is the neighborhood by considering the product ratings of the user as a single vector and the other is based on the neighborhood of the corresponding virtual users. For the target user, the virtual users are formed by dividing the ratings based on the category of products. We have proposed a combined approach to compute better recommendations by considering both kinds of neighborhoods. The experiments results on real world MovieLens dataset show that the proposed approach improves the performance over CF.
Ding, C, Sun, H, Guo, YJ, Qin, P & Yang, Y 1970, 'Beamwidth control of base station antennas employing reflectors and directors', 2015 International Symposium on Antennas and Propagation, ISAP 2015, International Symposium on Antennas and Propagation, IEEE, Hobart, Tasmania, Australia, pp. 1-3.
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The effects of reflectors and directors on the radiation pattern of a base station antenna are studied. A ±45° linear-polarized cross-dipole with an operating band from 1.7 GHz to 2.7 GHz is designed as an example. The antenna is then encircled by a conducting wall constructed using vertical reflectors to control its horizontal half-power beam-width (HPBW). Subsequently, cross-directors are placed above the antenna, which provides another solution to control the HPBW. A parametric study is conducted, and the findings can serve as design guidelines for the design of wide band base station antennas.
Dinh, TH, Ha, QP & La, HM 1970, 'Computer vision-based method for concrete crack detection', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE, Phuket, Thailand, pp. 1-6.
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© 2016 IEEE. This paper presents a computer vision-based method to automatically detect concrete cracks. We focus on images containing the concrete: background and crack, where the background is the major mode of the gray-scale histogram. Therefore, we address the detection problem of potential concrete cracks by dealing with histogram thresholding to extract regions of interests from the background. We first employ line emphasis and moving average filters to remove noise from concrete surface images obtained from an inspection robot. The developed algorithm is then applied for automatic detection of significant peaks from the gray-scale histogram of the smoothed image. The biggest peak and its corresponding valley(s) are consequently identified to calculate the threshold value for image binarization. The effectiveness of our proposed method was successfully evaluated on various test images, where cracks could be identified without the requirement of some heuristic reasoning.
Du, J, Jiang, C, Yu, S & Ren, Y 1970, 'Time cumulative complexity modeling and analysis for space-based networks', 2016 IEEE International Conference on Communications (ICC), ICC 2016 - 2016 IEEE International Conference on Communications, IEEE.
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© 2016 IEEE. In this paper, the notion of the cumulative time varying graph (C-TVG) is proposed to model the high dynamics and relationships between ordered static graph sequences for space-based information networks (SBINs). In order to improve the performance of management and control of the SBIN, the complexity and social properties of the SBIN's high dynamic topology during a period of time is investigated based on the proposed C-TVG. Moreover, a cumulative topology generation algorithm is designed to establish the topology evolution of the SBIN, which supports the C-TVG based complexity analysis and reduces network congestions and collisions resulting from traditional link establishment mechanisms between satellites. Simulations test the social properties of the SBIN cumulative topology generated through the proposed C-TVG algorithm. Results indicate that through the C-TVG based analysis, more complexity properties of the SBIN can be revealed than the topology analysis without time cumulation. In addition, the application of attack on the SBIN is simulated, and results indicate the validity and effectiveness of the proposed C-TVG and C-TVG based complexity analysis for the SBIN.
Du, J, Jiang, C, Yu, S, Chen, K-C & Ren, Y 1970, 'Privacy protection: A community-structured evolutionary game approach', 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), IEEE, pp. 1007-1011.
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© 2016 IEEE. Users of social networks can be connected with each other by different communities according to professions, living locations and personal interests. As each user on the social network platforms stores and shows a large amount of personal data, the privacy protection raises as a major concern. This paper establishes a game theoretic framework to model users' interactions to influence users' strategies to take the privacy protection or not. To model the relationship of user communities, we introduce the community-structured evolutionary dynamics. Users' interactions can only happen among those who have at least one common community. Then we analyze the dynamics of users' privacy protection behavior based on the proposed community structured evolutionary game theoretic framework. Results show that social network managers need to provide appropriate security service b and payment mechanism c to ensure that cost performance b/c is larger than the critical cost performance, which can promote the spread of the privacy security behavior over the network. Moreover, results can help to design appropriate structure of the social network and control the convergence speed that all users take the privacy protection.
Du, X, Yang, Y & Zhou, X 1970, 'Ward@TrecVid 2016 surveillance event detection', 2016 TREC Video Retrieval Evaluation, TRECVID 2016.
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In this year’s competition [1], we made three changes based on last year’s system [2]. The first change was using original videos instead of resized videos. The second change was training the code books under separated cameras. The final change was performing inner vector normalization after feature encoding. In the cross validation, some of the proposed changes had impact on the detection and together made the fusion more accurate. However, in the competition, this year’s submission was inferior to the last year’s submission. We investigated the submission and found that it was caused by using the original videos, which was proposed for the intention of increasing the motion saliency in the features. As a consequence, we will not use the original videos to extract features for the next round.
Du, X, Yin, H, Huang, Z, Yang, Y & Zhou, X 1970, 'Using Detected Visual Objects to Index Video Database', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Australasian Database Conference, Springer International Publishing, Sydney, New South Wales, Australia, pp. 333-345.
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© Springer International Publishing AG 2016. In this paper, we focus on how to use visual objects to index the videos. Two tables are constructed for this purpose, namely the unique object table and the occurrence table. The former table stores the unique objects which appear in the videos, while the latter table stores the occurrence information of these unique objects in the videos. In previous works, these two tables are generated manually by a topdown process. That is, the unique object table is given by the experts at first, then the occurrence table is generated by the annotators according to the unique object table. Obviously, such process which heavily depends on human labors limits the scalability especially when the data are dynamic or large-scale. To improve this, we propose to perform a bottom-up process to generate these two tables. The novelties are: we use object detector instead of human annotation to create the occurrence table; we propose a hybrid method which consists of local merge, global merge and propagation to generate the unique object table and fix the occurrence table. In fact, there are another three candidate methods for implementing the bottom-up process, namely, recognizing-based, matching-based and tracking-based methods. Through analyzing their mechanism and evaluating their accuracy, we find that they are not suitable for the bottom-up process. The proposed hybrid method leverages the advantages of the matching-based and tracking-based methods. Our experiments show that the hybrid method is more accurate and efficient than the candidate methods, which indicates that it is more suitable for the proposed bottom-up process.
Duan, R, Guo, C, Li, C-K & Li, Y 1970, 'Parallel distinguishability of quantum operations', IEEE International Symposium on Information Theory - Proceedings, IEEE International Symposium on Information Theory, IEEE, Barcelona, Spain, pp. 2259-2263.
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We find that the perfect distinguishability of two quantum operations by aparallel scheme depends only on an operator subspace generated from theirChoi-Kraus operators. We further show that any operator subspace can beobtained from two quantum operations in such a way. This connection enables usto study the parallel distinguishability of operator subspaces directly withoutexplicitly referring to the underlining quantum operations. We obtain anecessary and sufficient condition for the parallel distinguishability of anoperator subspace that is either one-dimensional or Hermitian. In both casesthe condition is equivalent to the non-existence of positive definite operatorin the subspace, and an optimal discrimination protocol is obtained. Finally,we provide more examples to show that the non-existence of positive definiteoperator is sufficient for many other cases, but in general it is only anecessary condition.
Dutkiewicz, E 1970, 'Radio spectrum research for emerging IoT and 5G networks', Proceedings of the Seventh Symposium on Information and Communication Technology, SoICT '16: Seventh International Symposium on Information and Communication Technology, ACM, Ho Chi Minh, VIETNAM, pp. 2-2.
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Eager, D, Hayati, H & Chapman, C 1970, 'Impulse force as an additional safety criterion for improving the injury prevention performance of impact attenuation surfaces in children's playgrounds', ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), International Mechanical Engineering Congress & Exposition, AMER SOC MECHANICAL ENGINEERS, Phoenix, Arizona, US.
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More than four decades has passed since introducing safety standards for Impact Attenuation Surfacing (IAS) used in children's playgrounds. Falls in children's playgrounds is a major source of injuries and IAS is one of the best safety interventions deployed to reduce the incidence and severity of these injuries. Currently there are two criteria that measure the injury prevention performance of IAS, namely: Head Injury Criteria (HIC); and maximum acceleration (Gmax). Based on the ASTM playground safety standard F1292 the thresholds of HIC and Gmax are 1000 and 200g respectively. If the playground IAS complies with this Standard the number and severity of fallrelated injuries in playgrounds should be decreased. However after implementing these standards a high number of children continue to be hospitalized due to fall-related playground injuries In this paper we tested ten samples based on ASTM F1292 standard to propose the introduction of an additional criterion to HIC and Gmax which can filter and remove hazardous IAS that technically comply with the current 1000 HIC and 200g safety thresholds. The proposed criterion is called the impulse force criterion (If) and combines the change of the momentum and the impact duration. The Gmax, HIC and If results are presented graphically and numerically.
Elbadawi, C, Tran, TT, Shimoni, O, Totonjian, D, Lobo, CJ, Grosso, G, Moon, H, Englund, DR, Ford, MJ, Aharonovich, I & Toth, M 1970, 'Ultra-bright emission from hexagonal boron nitride defects as a new platform for bio-imaging and bio-labelling', SPIE Proceedings, SPIE BioPhotonics Australasia, SPIE, Adelaide, AUSTRALIA.
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© 2016 SPIE. Bio-imaging requires robust ultra-bright probes without causing any toxicity to the cellular environment, maintain their stability and are chemically inert. In this work we present hexagonal boron nitride (hBN) nanoflakes which exhibit narrowband ultra-bright single photon emitters1. The emitters are optically stable at room temperature and under ambient environment. hBN has also been noted to be noncytotoxic and seen significant advances in functionalization with biomolecules2,3. We further demonstrate two methods of engineering this new range of extremely robust multicolour emitters across the visible and near infrared spectral ranges for large scale sensing and biolabeling applications.
Emery, BM, Jadidi, MG, Nakamura, K & Miro, JV 1970, 'An audio-visual solution to sound source localization and tracking with applications to HRI', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, ARAA, Brisbane, pp. 268-277.
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Robot audition is an emerging and growing branch in the robotic community and is necessary for a natural Human-Robot Interaction (HRI). In this paper, we propose a framework that integrates advances from Simultaneous Localization And Mapping (SLAM), bearing-only target tracking, and robot audition techniques into a unified system for sound source identification, localization, and tracking. In indoors, acoustic observations are often highly noisy and corrupted due to reverberations, the robot egomotion and background noise, and the possible discontinuous nature of them. Therefore, in everyday interaction scenarios, the system requires accommodating for outliers, robust data association, and appropriate management of the landmarks, i.e. sound sources. We solve the robot self-localization and environment representation problems using an RGB-D SLAM algorithm, and sound source localization and tracking using recursive Bayesian estimation in the form of the extended Kalman filter with unknown data associations and an unknown number of landmarks. The experimental results show that the proposed system performs well in the medium-sized cluttered indoor environment.
Erfani, SS, Abedin, B & Blount, Y 1970, 'Social support, Social belongingness, and psychological well-being: Benefits of Online healthcare community membership', Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings, Pacific Asia Conference on Information Systems, PACIS, Taiwan.
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Despite an increase in users interacting using Online Social Network Sites, the value they generate for health purposes are under-researched. Previous research has mainly focused on the capacity of Online Social Network Sites for improving social and organisational value. Yet, the value of these platforms can be investigated in the other context such as health. This paper studies the value of membership in health related Online Social Network Sites, and in particular investigates how participation in such communities benefits users' psychological well-being. Twenty-five qualitative semi-structured interviews were conducted with users of the Ovarian Cancer Australia Facebook page (OCA Facebook), the exemplar online community used in this study. The participants were people who were affected by ovarian cancer and were members of the OCA Facebook community where they exchanged information and received support. Using a multi-theory perspective to interpret the data, results showed that a sense of belongingness to a community with like-minded people as well as receiving social support through message exchange in the community were two main perceived benefits of the OCA online community membership. Findings also showed that most interviewees used OCA Facebook on a daily basis. While some were passive users and only read/observed the content crated by others, other users actively posted content and communicated with other members. The paper concludes with implications of the results, recommendations for future studies and proposes a qualitative theoretical framework to examine the value of online communities in a more holistic way.
Every, J, Li, L, Guo, YG & Dorrell, DG 1970, 'Maximizing investment value of small-scale PV in a smart grid environment', 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), IEEE, Birmingham, UK, pp. 385-390.
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© 2016 IEEE. Determining the optimal size and orientation of small-scale residential based PV arrays will become increasingly complex in the future smart grid environment with the introduction of smart meters and dynamic tariffs. However consumers can leverage the availability of smart meter data to conduct a more detailed exploration of PV investment options for their particular circumstances. In this paper, an optimization method for PV orientation and sizing is proposed whereby maximizing the PV investment value is set as the defining objective. Solar insolation and PV array models are described to form the basis of the PV array optimization strategy. A constrained particle swarm optimization algorithm is selected due to its strong performance in non-linear applications. The optimization algorithm is applied to real-world metered data to quantify the possible investment value of a PV installation under different energy retailers and tariff structures. The arrangement with the highest value is determined to enable prospective small-scale PV investors to select the most cost-effective system.
Faigl, J, Penicka, R & Best, G 1970, 'Self-organizing map-based solution for the Orienteering problem with neighborhoods', 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE.
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Falque, R, Vidal-Calleja, T, Dissanayake, G & Miro, JV 1970, 'From the Skin-Depth Equation to the Inverse RFEC Sensor Model', 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016, International Conference on Control, Automation, Robotics and Vision, IEEE, Phuket, Thailand.
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In this paper, we tackle the direct and inverse problems for the Remote-FieldEddy-Current (RFEC) technology. The direct problem is the sensor model, wheregiven the geometry the measurements are obtained. Conversely, the inverseproblem is where the geometry needs to be estimated given the fieldmeasurements. These problems are particularly important in the field ofNon-Destructive Testing (NDT) because they allow assessing the quality of thestructure monitored. We solve the direct problem in a parametric fashion usingLeast Absolute Shrinkage and Selection Operation (LASSO). The proposed inversemodel uses the parameters from the direct model to recover the thickness usingleast squares producing the optimal solution given the direct model. This studyis restricted to the 2D axisymmetric scenario. Both, direct and inverse models,are validated using a Finite Element Analysis (FEA) environment with realisticpipe profiles.
Fan, X, Li, B, Wang, Y, Wang, Y & Chen, F 1970, 'The ostomachion process', 30th AAAI Conference on Artificial Intelligence, AAAI 2016, 30th Association-for-the-Advancement-of-Artificial-Intelligence (AAAI) Conference on Artificial Intelligence, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, Phoenix, AZ, pp. 1547-1553.
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Stochastic partition processes for exchangeable graphs produce axis-Aligned blocks on a product space. In relational modeling, the resulting blocks uncover the underlying interactions between two sets of entities of the relational data. Although some flexible axis-Aligned partition processes, such as the Mondrian process, have been able to capture complex interacting patterns in a hierarchical fashion, they are still in short of capturing dependence between dimensions. To overcome this limitation, we propose the Ostomachion process (OP), which relaxes the cutting direction by allowing for oblique cuts. The partitions generated by an OP are convex polygons that can capture inter-dimensional dependence. The OP also exhibits interesting properties: 1) Along the time line the cutting times can be characterized by a homogeneous Poisson process, and 2) on the partition space the areas of the resulting components comply with a Dirichlet distribution. We can thus control the expected number of cuts and the expected areas of components through hyper-parameters. We adapt the reversible-jump MCMC algorithm for inferring OP partition structures. The experimental results on relational modeling and decision tree classification have validated the merit of the OP.
Fan, X, Xu, RYD & Cao, L 1970, 'Copula mixed-membership stochastic block model', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence, New York City, New York, United States, pp. 1462-1468.
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The Mixed-Membership Stochastic Blockmodels (MMSB) is a popular framework for modelling social relationships by fully exploiting each individual node's participation (or membership) in a social network. Despite its powerful representations, MMSB assumes that the membership indicators of each pair of nodes (i.e., people) are distributed independently. However, such an assumption often does not hold in real-life social networks, in which certain known groups of people may correlate with each other in terms of factors such as their membership categories. To expand MMSB's ability to model such dependent relationships, a new framework - a Copula Mixed-Membership Stochastic Blockmodel - is introduced in this paper for modeling intra-group correlations, namely an individual Copula function jointly models the membership pairs of those nodes within the group of interest. This framework enables various Copula functions to be used on demand, while maintaining the membership indicator's marginal distribution needed for modelling membership indicators with other nodes outside of the group of interest. Sampling algorithms for both the finite and infinite number of groups are also detailed. Our experimental results show its superior performance in capturing group interactions when compared with the baseline models on both synthetic and real world datasets.
Fang, XS, Sheng, QZ & Wang, X 1970, 'An Ensemble Approach for Better Truth Discovery', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer International Publishing, pp. 298-311.
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© Springer International Publishing AG 2016. Truth discovery is a hot research topic in the Big Data era, with the goal of identifying true values from the conflicting data provided by multiple sources on the same data items. Previously, many methods have been proposed to tackle this issue. However, none of the existing methods is a clear winner that consistently outperforms the others due to the varied characteristics of different methods. In addition, in some cases, an improved method may not even beat its original version as a result of the bias introduced by limited ground truths or different features of the applied datasets. To realize an approach that achieves better and robust overall performance, we propose to fully leverage the advantages of existing methods by extracting truth from the prediction results of these existing truth discovery methods. In particular, we first distinguish between the single-truth and multi-truth discovery problems and formally define the ensemble truth discovery problem. Then, we analyze the feasibility of the ensemble approach, and derive two models, i.e., serial model and parallel model, to implement the approach, and to further tackle the above two types of truth discovery problems. Extensive experiments over three large real-world datasets and various synthetic datasets demonstrate the effectiveness of our approach.
Fazzion, E, Cunha, Í, Guedes, D, Meira, W, Teixeira, R, Veitch, D & Diot, C 1970, 'Efficient Remapping of Internet Routing Events', Proceedings of the 2016 ACM SIGCOMM Conference, SIGCOMM '16: ACM SIGCOMM 2016 Conference, ACM, Florianopolis, Brazil, pp. 565-566.
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© 2016 Copyright held by the owner/author(s).Routing events impact multiple paths in the Internet, but current active topology mapping techniques monitor paths independently. Detecting a routing event on one Internet path does not trigger any measurements on other possibly-impacted paths. This approach leads to outdated and inconsistent routing information. We characterize routing events in the Internet and investigate probing strategies to efficiently identify paths impacted by a routing event. Our results indicate that targeted probing can help us quickly remap routing events and maintain more up-to-date and consistent topology maps.
Feng Gu, Zhang, G, Jie Lu & Chin-Teng Lin 1970, 'Concept drift detection based on equal density estimation', 2016 International Joint Conference on Neural Networks (IJCNN), 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, Vancouver, Canada, pp. 24-30.
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© 2016 IEEE. An important problem that remains in online data mining systems is how to accurately and efficiently detect changes in the underlying distribution of large data streams. The challenge for change detection methods is to maximise the accumulative effect of changing regions with unknown distribution, while at the same time providing sufficient information to describe the nature of the changes. In this paper, we propose a novel change detection method based on the estimation of equal density regions, with the aim of overcoming the issues of instability and inefficiency that underlie methods of predefined space partitioning schemes. Our method is general, nonparametric and requires no prior knowledge of the data distribution. A series of experiments demonstrate that our method effectively detects concept drift in single dimension as well as high dimension data, and is also able to explain the change by locating the data points that contribute most to the change. The detection result is guaranteed by statistical tests.
Feng, B, Zhou, H, Li, G, Li, H & Yu, S 1970, 'SAT-GRD: An ID/Loc split network architecture interconnecting satellite and ground networks', 2016 IEEE International Conference on Communications (ICC), ICC 2016 - 2016 IEEE International Conference on Communications, IEEE.
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© 2016 IEEE. Since the satellite network plays an irreplaceable role in many fields, how to interconnect it with the ground network has received an unprecedented attention. However, with much more requirements imposed to the current terrestrial network, many serious problems caused by the IP dual-role exposed. In this context, their direct interconnection seems not the most appropriate way. Thus, in this paper, SAT-GRD, an incrementally deployable ID/Loc split network architecture is proposed, aiming to integrate the satellite and ground networks efficiently. Specifically, SAT-GRD separates the identity of both the host and network from the location. Then, it isolates the host from the network, and further divides the whole network into core and edge networks. These make SAT-GRD much more flexible and scalable to achieve heterogeneous network convergence and avoid problems resulting from the overloaded semantics of IP addresses. In addition, much work has been done to implement the proof-of-concept prototype of SAT-GRD, and experimental results prove its feasibility.
Feng, B, Zhou, H, Zhang, H, Jiang, J & Yu, S 1970, 'A Popularity-Based Cache Consistency Mechanism for Information-Centric Networking', 2016 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2016 - 2016 IEEE Global Communications Conference, IEEE.
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© 2016 IEEE. Information-Centric Networking (ICN) has emerged as a promising way for the efficient content delivery over the Internet, and it can be seen as a super large-scale caching distributed system. However, as one of the most important problems, the cache consistency issue, which refers to whether cached contents in routers are outdated, is still not investigated thoroughly in ICN. Thus, in this paper, we propose a cost-effective Popularity-based Cache Consistency (PCC) mechanism to guarantee the freshness of cached contents in ICN routers. PCC is able to balance the trade between the consistency strength and related costs since it only maintains the strong consistency for popular contents while the weak for unpopular ones. Besides, we improve another two cache consistency mechanisms used in the web caching, namely Polling-Every-Time (PET) and Time-To-Live (TTL), to be suitable for ICN, and use them as the benchmarks for comparisons with PCC. To evaluate their performance, we firstly analyse the costs of these mechanisms including the user latency in terms of hop counts and corresponding signaling overheads, and then conduct extensive simulations using a real topology. The simulation results show the high efficiency of PCC compared with the improved PET and TTL.
Feng, X, Chang, L, Lin, X, Qin, L & Zhang, W 1970, 'Computing Connected Components with linear communication cost in pregel-like systems.', ICDE, IEEE International Conference on Data Engineering, IEEE Computer Society, Helsinki, Finland, pp. 85-96.
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© 2016 IEEE. The paper studies two fundamental problems in graph analytics: computing Connected Components (CCs) and computing BiConnected Components (BCCs) of a graph. With the recent advent of Big Data, developing effcient distributed algorithms for computing CCs and BCCs of a big graph has received increasing interests. As with the existing research efforts, in this paper we focus on the Pregel programming model, while the techniques may be extended to other programming models including MapReduce and Spark. The state-of-the-art techniques for computing CCs and BCCs in Pregel incur O(m × #supersteps) total costs for both data communication and computation, where m is the number of edges in a graph and #supersteps is the number of supersteps. Since the network communication speed is usually much slower than the computation speed, communication costs are the dominant costs of the total running time in the existing techniques. In this paper, we propose a new paradigm based on graph decomposition to reduce the total communication costs from O(m×#supersteps) to O(m), for both computing CCs and computing BCCs. Moreover, the total computation costs of our techniques are smaller than that of the existing techniques in practice, though theoretically they are almost the same. Comprehensive empirical studies demonstrate that our approaches can outperform the existing techniques by one order of magnitude regarding the total running time.
Fernando, WA & Lu, DD-C 1970, 'Feasibility study of existing 50/60Hz electrical appliances for HFAC power distribution systems', 2016 IEEE International Telecommunications Energy Conference (INTELEC), 2016 IEEE International Telecommunications Energy Conference (INTELEC), IEEE, Austin, Texas, USA.
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This paper investigates into the key parameters (e.g. voltage, frequency, waveform, etc.) of HFAC Power Distribution Systems (PDS) ranging from smaller 0.5 kW laptop/desktop computer upto 1.0 MW domestic/commercial/industrial power distribution applications. Due to the high reactance and associated issues observed with increased frequency, different HFAC PDSs have been designed to operate with different frequencies. Advantages of using HFAC over utility AC (50/60Hz) or DC in PDSs predominantly connected with electronic converters has been presented in many publications. Although most electrical appliances are intended to operate mainly with utility AC, it would facilitate widespread uptake of HFAC in PDSs if they could operate also at HFAC. The possibility of cross-matching and using a wide variety of electrical appliances on HFAC PDSs has been investigated and the findings are presented in this paper. Use of AC-AC power converters as interfacing devices for the appliances that do not perform well with HFAC has also been proposed.
Ferro, V, Sonnberger, A, Abdosamadi, MK, McDonald, C, Schäffer, E & McGloin, D 1970, 'Improved antireflection coated microspheres for biological applications of optical tweezers', SPIE Proceedings, SPIE Nanoscience + Engineering, SPIE, San Diego, CA.
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Fisher, KE, Yefimova, K & Yafi, E 1970, 'Future's Butterflies', Proceedings of the The 15th International Conference on Interaction Design and Children, IDC '16: Interaction Design and Children, ACM.
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Forouzesh, M, Siwakoti, YP, Blaabjerg, F & Hasanpour, S 1970, 'AC small signal modeling of PWM Y-source converter by circuit averaging and averaged switch modeling technique', 2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe), 2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe), IEEE, GERMANY.
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Forouzesh, M, Siwakoti, YP, Gorji, SA, Blaabjerg, F & Lehman, B 1970, 'A survey on voltage boosting techniques for step-up DC-DC converters', 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE, Milwaukee, WI, USA, pp. 1-8.
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© 2016 IEEE. Step-up DC-DC converters are used to boost the voltage level of the input to a higher output level. Despite of its features such as simplicity of implementation, the fundamental boost DC-DC converter has shortcomings such as low boost ability and low power density. With these limitations, researches on new voltage boosting techniques are inevitable for various power converter applications. This can be achieved either by additional magnetic or by electric field storage elements with switching elements (switch and/or diode) in different configurations. Such combination of primary voltage boosting techniques and topologies are large, which at times may be confusing and difficult to follow/adapt for different applications. Considering these aspects and in order to make a clear sketch of the general law and framework of various voltage boosting techniques, this paper comprehensively reviews different voltage boosting techniques and categorizes them according to their circuit performance.
Gadalla, B, Schaltz, E, Siwakoti, Y & Blaabjerg, F 1970, 'Thermal performance and efficiency investigation of conventional boost, Z-source and Y-source converters', 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), IEEE.
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© 2016 IEEE. Boost converters are needed in many applications that require the output voltage to be higher than the input voltage. Recently, boost type converters have been attracted by the industrial applications, and hence it has become an extremely hot topic of research. Recently, many researchers proposed the impedance source converters with their unique advantages as having a high voltage gain in a small range of duty cycle ratio. However, the thermal behaviour of the semiconductor devices and passive elements in the impedance source converter is an important issue from a reliability point of view and has not been investigated yet. Therefore this paper presents a comparison between the conventional boost, the Z-source, and the Y-source converters based on the thermal evaluation of semiconductors. In addition, the three topologies are also compared with respect to their efficiency. The operational principle, mathematical derivations, simulation results and finally conclusion comparisons are presented in this paper.
Gan, C, Lin, M, Yang, Y, De Melo, G & Hauptmann, AG 1970, 'Concepts not alone: Exploring pairwise relationships for zero-shot video activity recognition', 30th AAAI Conference on Artificial Intelligence, AAAI 2016, AAAI Conference on Artificial Intelligence, AAAI, Phoenix, Arizona, pp. 3487-3493.
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Vast quantities of videos are now being captured at astonishing rates, but the majority of these are not labelled. To cope with such data, we consider the task of content-based activity recognition in videos without any manually labelled examples, also known as zero-shot video recognition. To achieve this, videos are represented in terms of detected visual concepts, which are then scored as relevant or irrelevant according to their similarity with a given textual query. In this paper, we propose a more robust approach for scoring concepts in order to alleviate many of the brittleness and low precision problems of previous work. Not only do we jointly consider semantic relatedness, visual reliability, and discriminative power. To handle noise and non-linearities in the ranking scores of the selected concepts, we propose a novel pairwise order matrix approach for score aggregation. Extensive experiments on the large-scale TRECVID Multimedia Event Detection data show the superiority of our approach.
Gan, C, Yao, T, Yang, K, Yang, Y & Mei, T 1970, 'You Lead, We Exceed: Labor-Free Video Concept Learning by Jointly Exploiting Web Videos and Images', 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Las Vegas, pp. 923-932.
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Gandomi, AH & Kashani, AR 1970, 'Evolutionary bound constraint handling for particle swarm optimization', 2016 4th International Symposium on Computational and Business Intelligence (ISCBI), 2016 4th International Symposium on Computational and Business Intelligence (ISCBI), IEEE, Olten, SWITZERLAND, pp. 148-152.
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Gao, F & Musial-Gabrys, K 1970, 'Hybrid structure-based link prediction model', 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), IEEE, San Francisco, CA, pp. 1221-1228.
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Gao, Y, Ma, H, Liu, W & Yu, S 1970, 'Cost Optimal Resource Provisioning for Live Video Forwarding Across Video Data Centers', BIG DATA COMPUTING AND COMMUNICATIONS, (BIGCOM 2016), 2nd International Conference on Big Data Computing and Communication (BigCom), Springer International Publishing, Shenyang, PEOPLES R CHINA, pp. 27-38.
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Gao, Y, Yu, H, Luo, S & Yu, S 1970, 'Efficient and Low-Delay Task Scheduling for Big Data Clusters in a Theoretical Perspective', 2016 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2016 - 2016 IEEE Global Communications Conference, IEEE.
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© 2016 IEEE. In big data clusters, task dispatchers assign arriving tasks to one of many workers (servers) for load balancing. Workers schedule task executions for rapidly completing queueing tasks. Both dispatchers and workers are important for optimizing task/job-completion-time (TCT/JCT). Current dispatchers probe loads on workers before assigning every task/job, which incurs expensive message overheads and significant delays. Besides, they use simple First-In-First-Out (FIFO) scheduling on workers, which further harms their TCT/JCT performance due to head-of-line blocking. In our TASCO scheduler, workers report their loads to dispatchers so that dispatchers avoid to probe them, which significantly reduces expensive overheads and delays on current dispatchers. Motivated by recent observations that more than 60% tasks in big data clusters are recurring with predictable task service time, we also use delay- optimal smallest-task-first (STF) scheduling to improve current simple FIFO scheduling on workers. We also derive the average TCT of TASCO based on its equivalence to an M/G/1/STF queue and the insight that workers reporting loads to dispatchers follows a Poisson process in the large- system limit. Our theories and simulation results demonstrate that the average TCT/JCT of TASCO outperforms state-of-art schedulers from 5.3% to 55.9%.
Gao, Y, Yu, H, Luo, S & Yu, S 1970, 'Information-agnostic coflow scheduling with optimal demotion thresholds', 2016 IEEE International Conference on Communications (ICC), ICC 2016 - 2016 IEEE International Conference on Communications, IEEE.
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© 2016 IEEE. Previous coflow scheduling proposals improve the coflow completion time (CCT) over per-flow scheduling based on prior information of coflows, which makes them hard to apply in practice. State-of-art information-agnostic coflow scheduling solution Aalo adopts Discretized Coflow-aware Least-Attained-Service (D-CLAS) to gradually demote coflows from the highest priority class into several lower priority classes when their sent-bytes-count exceeds several predefined demotion thresholds. However, current design standards of these demotion thresholds are crude because they do not analyze the impacts of different demotion thresholds on the average coflow delay. In this paper, we model the D-CLAS system by an M/G/1 queue and formulate the average coflow delay as a function of the demotion thresholds. In addition, we prove the valley-like shape of the function and design the Down-hill searching (DHS) algorithm. The DHS algorithm locates a set of optimal demotion thresholds which minimizes the average coflow delay in the system. Real-data-center-trace driven simulations indicate that DHS improves average CCT up to 6.20× over Aalo.
Gardner, A & Vessalas, K 1970, 'Experiences with flipped learning in a postgraduate subject in civil engineering', 44th Annual Conference of the European Society for Engineering Education - Engineering Education on Top of the World: Industry-University Cooperation, SEFI 2016, SEFI - Annual Conference of European Society for Engineering Education, SEFI, Tampere, Finland.
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The redesign of the postgraduate subject Concrete Technology and Practice changed all aspects associated with the subject delivery as well as the skills required of both students and the instructor. Students could see the benefits to their learning from participating in a flipped learning environment. Students made strong assertions about feedback in both the focus group and student feedback survey questions and comments. Student comments included that feedback in this subject comes from 'everywhere', i.e., from the online quizzes, from peers and from the instructor, before the class, during the class and after assessment submission. Comments from the questionnaire and the focus group reinforced the learning benefits of the individual work followed by collaborative activities. However, the subject instructor needed the time to make these changes and to reflect on and learn from each session as well as the overall experience.
Gardner, AP, Goldsmith, R & Vessalas, K 1970, 'Using practice architectures theory to compare consecutive offerings of the same subject', Proceedings of the 27th Annual Conference of the Australasian Association for Engineering Education (AAEE2016), Australasian Association of Engineering Education annual conference, Southern Cross University, Coffs Harbour.
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CONTEXTTwo consecutive offerings (2015 and 2016) of the same subject, Concrete Technology and Practice, prompted opposite reactions from students. The academics involved in 2015 and/or 2016 sought to explore the similarities and differences between these consecutive offerings in reflecting on the learning and teaching practices in their classroom. PURPOSEPractice architectures theory provides a framework for examining and understanding the differences between these consecutive offerings of ostensibly the same subject. This paper also provides an example of how a theoretical framework can be used to examine teaching practices – even our own by practitioners who are also acting as researchers in this context. APPROACHEvidence used in comparing the 2015 and 2016 offerings of this subject is drawn from focus group discussions with students and observations of each of the researcher/practitioners involved. Additional data includes the end of semester Student Feedback Survey results including written responses to open-ended questions. RESULTSDifferences in aspects of the cultural-discursive, material-economic and socio-political arrangements of the 2015 and 2016 offerings of Concrete Technology and Practice became apparent from the analysis. CONCLUSIONSUsing the theory of practice architectures gave us insights into the inter-relationships between the different arrangements inherent in teaching and learning practices. It also highlighted the resilience of ‘taken for granted’ practices.
Gaura, E & Dutkiewicz, E 1970, 'The thirteenth IEEE international workshop on managing ubiquitous communications and services, 2016 - Welcome and committees: Welcome message from the program chairs', 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), IEEE.
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Gay, V, Leijdekkers, P & Pooley, A 1970, 'Building Social Awareness for Teens and Young Adults with Autism via Gamification', SERIOUS GAMES, JCSG 2016, Joint International Conference on Serious Games (JCSG), Springer International Publishing, Brisbane, QLD, Australia, pp. 116-127.
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Teens and young adults are in one of the most challenging phases of their life in terms of discovering new and complex emotions and situations. This is particularly the case for a demographic diagnosed with conditions commonly referred to as Autistic Spectrum Disorders, which is inclusive of Asperger’s Syndrome. Through a video game medium, it is possible to place the players in virtual situations that explore these the intricacies of social interaction and relationships. This could be powerful for communicating such concepts: players can be explained to, practice and given feedback in a comfortable, non-threatening, and perhaps even familiar environment.
Our objective is to build such a game by modifying an already popular video game. Through modification, a game’s already existing mechanisms and resources may be repurposed for serious functions. In the case of our team, this is to allow the player to have conversations that dynamically change depending on their input. Characters in the game can be manipulated to communicate verbally and non-verbally, delivering emotive lines recorded by voice actors whilst projecting certain facial expressions and body language.
We created a tangible video game learning resource that can be trialed to investigate its value to build social awareness.
GENTILE, C, Chuang, CY, Drake, CJ & Davies, MJ 1970, 'VEGF/eNOS‐mediated Cardiomyocyte Proliferation: a Novel Mechanism to Regulate Cardiovascular Regeneration in Mice and Humans', The FASEB Journal, Experimental Biology Meeting, Wiley, San Diego, CA.
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An absence of cardiomyocyte proliferation in adult hearts limits their regeneration potential following tissue damage arising from adverse cardiac events such as a myocardial infarction or heart failure. There is considerable interest, and therapeutic potential, in unveiling mechanisms that enhance heart regeneration using stem cells and progenitor cells. Our studies have previously demonstrated that vascular endothelial growth factor (VEGF) regulates proliferation of cardiomyocyte progenitor cells via endothelial nitric oxide synthase (eNOS) in murine embryos. We have now investigated the role played by the VEGF/eNOS signalling pathway by evaluating cardiomyocyte proliferation in both WT and eNOS KO mouse embryos, and in human heart samples. Confocal analysis of WT and KO embryonic hearts showed no difference at embryonic stage E8.0 by using antibodies against markers of progenitor cells in the heart (VEGFR2/Flk1), cardiomyocytes (smooth muscle α‐actin), endothelial cells (CD31), and cell proliferation (phospho‐histone H3). In contrast, cardiomyocyte proliferation was reduced in E8.5 and E9.5 NOS3 KO embryos when compared to WT controls. Heart tube formation was also impaired. Consequently, E17 NOS3 KO embryos had smaller hearts (approximately 20% decrease of the volume) compared to WT controls. To translate our findings to humans, we analysed human heart biopsies from young and older donors using similar antibodies. Confocal analysis showed, for the first time, a correlation between eNOS expression and cardiomyocyte proliferation in a young human heart. To further investigate the role played by the VEGF/eNOS signaling pathway in human hearts, we developed an in vitro 3D co‐culture model of human endothelial cells, cardiomyocytes and fibroblasts, the human cardiac spheroid (hCS). A higher level of extracellular matrix (ECM) synthesis was observed in hCSs generated ...
George, M, Al-Kilidar, H & Mooney, G 1970, 'Appraising and enhancing a leadership in innovation model', Proceedings of the 28th International Business Information Management Association Conference - Vision 2020: Innovation Management, Development Sustainability, and Competitive Economic Growth, International Business Information Management, IBIMA Publishing, Seville, Spain, pp. 1644-1654.
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Innovation is a significant contributor to effective economies worldwide. This paper aims to apprise a model of Innovation and Leadership created by Grant Mooney and Ken Dovey (Mooney & Dovey 2008). The model examines the resource of individual creativity and organisational innovation through the use of constructs and metrics. Recent developments have identified constructs that were used to appraise and enhance the model as a result of the strong correlations identified in literature and their high level of relevance. The new factors are (1) 'followership' or confidence in top leadership, and (2) 'return on investment' which measures the innovation efforts in an organisation.
Ghanavati, M, Wong, RK, Chen, F, Wang, Y & Fong, S 1970, 'A Generic Service Framework for Stock Market Prediction', 2016 IEEE International Conference on Services Computing (SCC), 2016 IEEE International Conference on Services Computing (SCC), IEEE, San Francisco, CA, pp. 283-290.
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Ghanavati, M, Wong, RK, Chen, F, Wang, Y & Fong, S 1970, 'Effective Local Metric Learning for Water Pipe Assessment', ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2016, PT I, 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Springer International Publishing, Univ Auckland, Auckland, NEW ZEALAND, pp. 565-577.
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Ghanavati, M, Wong, RK, Chen, F, Wang, Y & Lee, J 1970, 'A Hierarchical Beta Process Approach for Financial Time Series Trend Prediction', TRENDS AND APPLICATIONS IN KNOWLEDGE DISCOVERY AND DATA MINING (PAKDD 2016), 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Springer International Publishing, Univ Auckland, Auckland, NEW ZEALAND, pp. 227-237.
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Ghavidel, S, Li, L, Aghaei, J, Yu, T & Zhu, J 1970, 'A review on the virtual power plant: Components and operation systems', 2016 IEEE International Conference on Power System Technology (POWERCON), 2016 IEEE International Conference on Power System Technology (POWERCON), IEEE, Australia.
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© 2016 IEEE. Due to the high penetration of Distributed Generations (DGs) in the network and the presently involving competition in all electrical energy markets, Virtual Power Plant (VPP) as a new concept has come into view, with the intention of dealing with the increasing number of DGs in the system and handling effectively the competition in the electricity markets. This paper reviews the VPP in terms of components and operation systems. VPP fundamentally is composed of a number of DGs including conventional dispatchable power plants and intermittent generating units along with possible flexible loads and storage units. In this paper, these components are described in an all-inclusive manner, and some of the most important ones are pointed out. In addition, the most important anticipated outcomes of the two types of VPP, Commercial VPP (CVPP) and Technical VPP (TVPP), are presented in detail. Furthermore, the important literature associated with Combined Heat and Power (CHP) based VPP, VPP components and modeling, VPP with Demand Response (DR), VPP bidding strategy, and participation of VPP in electricity markets are briefly classified and discussed in this paper.
Ghazali, KA, Salleh, SF, Riayatsyah, TMI, Aditiya, HB & Mahlia, TMI 1970, 'The effect of dilute acid pre-treatment process in bioethanol production from durian (Durio zibethinus) seeds waste', IOP Conference Series: Earth and Environmental Science, 2nd International Conference on Advances in Renewable Energy and Technologies (ICARET), IOP Publishing, Putrajaya, MALAYSIA, pp. 012058-012058.
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Ghobadi, Y, Pradhan, B & Kabiri, K 1970, 'Spatio-Temporal Relationship Between Surface Temperature and NDVI Using Remotely Sensed data', 41st COSPAR Scientific Assembly, abstracts from the meeting that was to be held 30 July-7 August at the Istanbul Congress Center (ICC), Turkey, but was cancelled. See http://cospar2016. tubitak. gov. tr/en/, Abstract A3. 1-39-16..
Ghosh, B, Fatahi, B, Khabbaz, H & Hsi, J 1970, 'Reinforced Timoshenko Beam Theory to Simulate Load Transfer Mechanism in CMC Supported Embankments', Proceedings of 12th Australia New Zealand Conference on Geomechanics, Australia New Zealand Geomechanics conference, Australian Geomechanics Society, Wellington, New Zealand, pp. 1099-1106.
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Controlled modulus column (CMC) supported embankments are increasingly being used for construction of major highway embankments on soft ground particularly near waterways or coastal regions. CMCs are sustainable and cost-effective ground improvement technology that transmit the load from the traffic and the embankment to a lower bearing stratum through a composite CMC/soil matrix. The key influencing components of the load transfer mechanism include embankment fill, load transfer platform (LTP) with one or more layers of geosynthetics, CMC and the foundation soils. Rapid growth of the application of geosynthetics between two granular layers in the column supported embankment has been observed in the last two decades. The use of LTP enhances the load transfer mechanism in the CMC improved soft ground and minimises the post construction settlement of the ground. In this paper, reinforced Timoshenko beam theory is adopted to simulate the LTP with one layer of geosynthetics that is resting on elastic foundation with columns. A parametric study is conducted to investigate the importance of the LTP on the load transfer mechanism for the CMC supported embankment. Special attentions are given to the thickness of the LTP, the use of geosynthetics and its influence on deflection of the LTP, the shear force developed in the LTP and the tension developed in geosynthetics. The parametric study reveals that the thickness of the LTP has a significant effect on the behaviour of LTP up to a certain limit.
Ghosh, B, Fatahi, B, Khabbaz, H & Kamruzzaman, AHM 1970, 'Analysis of CMC-Supported Embankments Considering Soil Arching', IN SITU AND LABORATORY TEST METHODS FOR SITE CHARACTERIZATION, DESIGN, AND QUALITY CONTROL, GeoChina International Conference, American Society of Civil Engineers, Jinan, Shandong, China, pp. 286-293.
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© ASCE. In this paper, the behaviour of geosynthetic-reinforced controlled modulus column-supported embankments is studied for different distributions of loadings induced by arching on the load transfer platform (LTP). This study proposes a mechanical model for idealising the response of LTP-soft soil-column system, by representing each sub-system using commonly used mechanical elements such as rough-elastic membrane, beam, and spring. The soil arching effect is incorporated in the model to determine the deflection of the soft soil as well as mobilised tension in the geosynthetics more accurately. The effects of the column stiffness and consolidation of saturated soft soils are also incorporated in the model. Moment and shear force in the LTP, tension developed in the geosynthetics, and settlements of the improved soft ground are predicted using the proposed model. To evaluate the proposed model, a parametric study is conducted to investigate the influence of different pressure distribution due to different arching theories. It is observed that the pattern of distribution of the arching loads affect the performance of controlled modulus column-supported embankments significantly.
Ghosh, S & Lee, JEY 1970, 'Lorentz Force Magnetic Sensor based on a Thin-Film Piezoelectric-on-Silicon Laterally Vibrating Micromechanical Resonator', Procedia Engineering, Elsevier BV, pp. 654-657.
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Ghosh, S, Nguyen, H & Li, J 1970, 'Predicting short-term ICU outcomes using a sequential contrast motif based classification framework', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, Florida, USA, pp. 5612-5615.
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© 2016 IEEE.Critical ICU events like acute hypotension and septic shock are dangerous complications, leading to multiple organ failures and eventual death. Previously, pattern mining algorithms have been employed for extracting interesting rules in various clinical domains. However, the extracted rules are directly investigated by clinicians for diagnosing a disease. Towards this purpose, there is a need to develop advanced prediction models which integrate dynamic patterns to learn a patient's physiological condition. In this study, a sequential contrast patterns-based classification framework is presented for detecting critical patient events, like hypotension and septic shock. Initially, a set of sequential patterns are obtained by using a contrast mining algorithm. Later, these patterns undergo post-processing, for conversion to two novel representations-(1) frequency-based feature space and (2) ordered sequences of patterns, which conserve positional information of a pattern in a time series sequence. Each of these representations are automatically used for developing classification models using SVM and HMM methods. Our results on hypotension and septic shock datasets from a large scale ICU database demonstrate better predictive capabilities, when sequential patterns are used as features.
Ghosh, S, Zheng, Y, Lammers, T, Chen, YY, Fitzmaurice, C, Johnston, S & Li, J 1970, 'Deriving Public Sector Workforce Insights: A Case Study Using Australian Public Sector Employment Profiles', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Advanced Data Mining and Applications, Springer International Publishing, Gold Coast, Queensland, Australia, pp. 764-774.
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© Springer International Publishing AG 2016.Effective approaches for measurement of human capital in public sector and government agencies is essential for robust workforce planning against changing economic conditions. To this purpose, adopting innovative hypotheses driven workforce data analysis can help discover hidden patterns and trends about the workforce. These trends are useful for decision making and support the development of policies to reach desired employment outcomes. In this study, the data challenges and approaches to a real life workforce analytics scenario are described. Statistical results from numerous workforce data experiments are combined to derive three hypotheses that are useful to public sector organisations for human resources management and decision making.
Gill, AQ & Hevary, S 1970, 'Cloud Monitoring Data Challenges: A Systematic Review.', ICONIP (1), International Conference on Neural Information Processing, Springer, Kyoto, Japan, pp. 72-79.
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© Springer International Publishing AG 2016. Organizations need to continuously monitor, source and process large amount of operational data for optimizing the cloud computing environment. The research problem is: what are cloud monitoring data challenges – in particular virtual CPU monitoring data? This paper adopts a Systematic Literature Review (SLR) approach to identify and report cloud monitoring data challenges. SLR approach was applied to initially identify a large set of 1861 papers. Finally, 24 of 1861 relevant papers were selected and reviewed to identify the five major challenges of cloud monitoring data: monitoring technology, virtualization technology, energy, availability and performance. The results of this review are expected to help researchers and practitioners to understand cloud computing data challenges and develop innovative techniques and strategies to deal with these challenges.
Gill, AQ, Chew, EK, Kricker, D & Bird, G 1970, 'Adaptive Enterprise Resilience Management: Adaptive Action Design Research in Financial Services Case Study.', CBI (1), IEEE Conference on Business Informatics (CBI), IEEE, Paris, pp. 113-122.
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© 2016 IEEE. Resilience is the ability of an enterprise to absorb, recover and adapt from a disruption. Being resilient is a complex undertaking for enterprises operating in a highly dynamic environment and striving for continuous efficiency and innovation. The challenge for enterprises is to offer and run a customer-centric and interdependent large portfolio of resilient services. The fundamental research question is: how to enable service resilience in the practical enterprise resilience context? This paper addresses this important research question, and reports findings from on-going (2014-2016) research on adaptive enterprise resilience management in an Australian financial services organization (FSO). This research is being conducted using the adaptive action-design research (ADR) method to iteratively research, develop and deliver the desired resilience framework in short increments. This paper presents the overall evolved adaptive enterprise resilience management framework and its 'service resilience' element details as one of the key outcomes from the second adaptive ADR increment.
Golsorkhi, MS, Lu, DDC, Savaghebi, M, Vasquez, JC & Guerrero, JM 1970, 'A GPS-based control method for load sharing and power quality improvement in microgrids', 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC 2016 - ECCE Asia), IEEE, Hefei, China, pp. 3734-3740.
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© 2016 IEEE.This paper proposes a novel control method for accurate sharing of load current among the Distributed Energy Resources (DER) and high power quality operating in islanded ac microgrids. This control scheme is based on hierarchical structure comprising of decentralized primary controllers and a centralized secondary controller. The controllers in the primary level use GPS timing technology to synchronize their local time with a common time reference. In this context, proportional current sharing is achieved by adjusting the reference voltage of each DER unit according to a voltage-current (V-I) droop characteristic. The droop coefficient, which acts as a virtual resistance, is adaptively changed as a function of peak current. This strategy not only simplifies the control design but also enables faster dynamics and higher accuracy of current sharing especially at high loading conditions. The secondary controller produces compensation signals at fundamental and dominant harmonics to improve the voltage quality at a sensitive load bus. Experimental results are presented to validate the efficacy of the proposed method.
Golsorkhi, MS, Lu, DDC, Shafiee, Q & Guerrero, JM 1970, 'Distributed voltage control and load sharing for inverter-interfaced microdrid with resistive lines', 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE.
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© 2016 IEEE. This paper proposes a new distributed control method for coordination of distributed energy resources (DERs) in low-voltage resistive microgrids. The proposed framework consists of two level structure; primary and secondary control. Unlike the existing distributed control methods, the proposed method is based upon the practical assumption of resistive network impedance. In this context, a V-I droop mechanism is adopted in the primary control level, where GPS timing is used to synchronize the control agents. A new distributed secondary control method based on consensus protocol is introduced to improve the voltage regulation and load sharing accuracy of the V-I droop method. In this method, the d-axis components of the voltage is altered so as to regulate the average microgrid voltage to the rated value while guarantying proper sharing of active power among the DERs. Additionally, the q-axis component of voltage is adjusted to perform proper current and, accordingly reactive power sharing. The proposed control methodology accounts for the distribution line impedances. It features a plug-and-play environment; prior system knowledge is not required, and an arbitrary DER can enter the microgrid without any need for additional synchronization mechanisms. An AC microgrid is prototyped to experimentally demonstrate the efficacy of the proposed method.
Grochow, JA, Mulmuley, KD & Qiao, Y 1970, 'Boundaries of VP and VNP', Leibniz International Proceedings in Informatics, LIPIcs, International Colloquium on Automata Languages and Programming, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Rome, Italy.
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One fundamental question in the context of the geometric complexity theory approach to the VP vs. VNP conjecture is whether VP = VP, where VP is the class of families of polynomials that can be computed by arithmetic circuits of polynomial degree and size, and VP is the class of families of polynomials that can be approximated infinitesimally closely by arithmetic circuits of polynomial degree and size. The goal of this article is to study the conjecture in (Mulmuley, FOCS 2012) that VP is not contained in VP. Towards that end, we introduce three degenerations of VP (i.e., sets of points in VP), namely the stable degeneration Stable-VP, the Newton degeneration Newton-VP, and the p-definable one-parameter degeneration VP∗. We also introduce analogous degenerations of VNP. We show that Stable-VP ⊆ Newton-VP ⊆ VP∗ ⊆ VNP, and Stable-VNP = Newton-VNP = VNP∗ = VNP. The three notions of degenerations and the proof of this result shed light on the problem of separating VP from VP. Although we do not yet construct explicit candidates for the polynomial families in VP \VP, we prove results which tell us where not to look for such families. Specifically, we demonstrate that the families in Newton-VP \VP based on semi-invariants of quivers would have to be nongeneric by showing that, for many finite quivers (including some wild ones), Newton degeneration of any generic semi-invariant can be computed by a circuit of polynomial size. We also show that the Newton degenerations of perfect matching Pfaffians, monotone arithmetic circuits over the reals, and Schur polynomials have polynomial-size circuits.
Guan, D-F, Ding, C, Sun, H & Yuan, F 1970, 'Wide-band SIW cavity-backed circular polarized array antennas with sequential rotation technique', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, pp. 466-468.
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© 2016 IEEE. A circularly-polarized (CP) array antenna based on the substrate integrated waveguide (SIW) technology is proposed. The 2×2 linearly polarized SIW sub-arrays with 90° sequential rotation are employed as the radiating elements on the top layer. The sequential rotation technique is introduced to design SIW corporate-feed network on the bottom layer to realize wideband circular polarized characteristic. The network and the radiating elements of the array are both designed on close SIW structure with low cost printed circuit board (PCB) technology. The simulated results show that, the proposed 4×4 array has a large axial ratio (AR) bandwidth of 14% from 18.3 GHz to 21.1 GHz with a gain above 13 dBi.
Guertler, MR, Becerril, L & Lindemann, U 1970, 'How to identify suitable collaboration strategies for open innovation?', Proceedings of International Design Conference, DESIGN, International Design Conference (DESIGN), Design Society, Cavtat-Dubrovnik, Croatia, pp. 1005-1014.
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Open Innovation (OI) allows the utilisation of external expertise. Besides various benefits, OI also bears specific risks. These are often linked to the selection of the “right” partners (e.g. knowledge drain and Not-Invented-Here syndrome) that is often based on specific perspectives, e.g. focussing only on external stakeholders, and only on their technical skills and neglecting the strategic relevance. Thus, we developed an integrated methodology to systematically identify, select and involve partners. This paper focusses on deriving suitable operative and strategic collaboration strategies.
Guertler, MR, Stahl, S, Muenzberg, C & Lindemann, U 1970, 'Analysing the influence of planning-parameters on Open Innovation performance', The XXVII ISPIM Innovation Conference, Porto, pp. 1-11.
Guo, B, Huang, Y, Guo, Y & Zhu, J 1970, 'Analytical modeling of manufacturing imperfections in double rotor axial flux PM machines: Effects on back EMF', 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), IEEE, Miami, FL, USA, pp. 1-1.
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© 2016 IEEE. In this paper, a general analytical model is proposed to investigate various eccentricities in double rotor axial flux permanent magnet (DRAFPM) machine, the back electromotive forces (EMFs) is calculated and compared in this paper. At first, the radial and tangential flux density in the air gap under healthy condition is developed via Maxwell's equations and Schwarz-Christoffel mapping. After that, variable air gap length and radii are introduced to calculate the flux density caused by eccentricities. The back EMF at each case is calculated and compared with that in healthy condition. At each section, FEM models are built to validate the analytical model, and the results show that the analytical model predictions agree well with those from the FE results. Finally, the analytical model is verified via experimental results.
Guo, Y, Yue, T & Wang, L 1970, 'Unconventional roll axis response-type Nonlinear Dynamic Inversion flight control law design', 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), IEEE, Nanjing, PEOPLES R CHINA, pp. 1085-1090.
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Guo, Y, Zhu, J, Lu, H & Lei, G 1970, 'Design considerations of electric motors with soft magnetic composite cores', 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC 2016 - ECCE Asia), IEEE, Hefei, China, pp. 3007-3011.
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© 2016 IEEE. Soft magnetic composite (SMC) materials possess many unique properties, which are particularly suitable for development of novel structure electric motors for various electric drive systems. The unique properties of SMC material include three-dimensional (3-D) magnetic and thermal isotropy, very low eddy current loss, and prospect of very low cost mass production. Therefore, the application of SMC materials in electrical appliance, particularly in electric motors, has attracted great interest in research. However, SMC materials also have some drawbacks, e.g. low permeability, high hysteresis loss and low mechanical strength, and hence a direct replacement of electrical steels by SMC would not necessarily lead to satisfaction or improvement of motor performance. To fully explore the application potential of the SMC materials, their unique properties should be fully employed and at the same time the effects of their drawbacks should be avoided or minimized. This paper aims to present some key issues on design of SMC electric motors based on the extensive research in the past two decades by various researchers including the authors of this paper. The key design issues are discussed and some conclusions are drawn for future effort in this area.
Ha, VKL, Nguyen, TN & Nguyen, HT 1970, 'A telepresence wheelchair using cellular network infrastructure in outdoor environments', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, Florida, USA, pp. 5352-5355.
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© 2016 IEEE. Mobile wireless network technology has grown rapidly over the past decade with emerging applications and services. Particularly, the fourth generation (4G) cellular network has acted as a bridge between telecommunication technology and daily life applications. In this paper, we present an investigation into a telepresence wheelchair in outdoor environments employing cellular network infrastructure instead of using local wireless networks in indoor environments. Experiments were carried out to demonstrate remote interaction and control from a long distance and across countries. A large amount of communication data based on real network measurements was collected and analyzed to evaluate the system performance. The experimental results show that a wheelchair system can be controlled remotely in real-time with the acceptable round trip time of less than 400 ms. The results reveal the feasibility of using the 4G network for a telepresence wheelchair in healthcare applications.
Haah, J, Harrow, AW, Ji, Z, Wu, X & Yu, N 1970, 'Sample-optimal tomography of quantum states', Proceedings of the forty-eighth annual ACM symposium on Theory of Computing, STOC '16: Symposium on Theory of Computing, ACM, Cambridge, MA, USA, pp. 913-925.
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It is a fundamental problem to decide how many copies of an unknown mixed quantum state are necessary and sufficient to determine the state. This is the quantum analogue of the problem of estimating a probability distribution given some number of samples.
Previously, it was known only that estimating states to error є in trace distance required O(dr2/є2) copies for a d-dimensional density matrix of rank r. Here, we give a measurement scheme (POVM) that uses O( (dr/ δ ) ln(d/δ) ) copies to estimate ρ to error δ in infidelity. This implies O( (dr / є2)· ln(d/є) ) copies suffice to achieve error є in trace distance. For fixed d, our measurement can be implemented on a quantum computer in time polynomial in n.
We also use the Holevo bound from quantum information theory to prove a lower bound of Ω(dr/є2)/ log(d/rє) copies needed to achieve error є in trace distance. This implies a lower bound Ω(dr/δ)/log(d/rδ) for the estimation error δ in infidelity. These match our upper bounds up to log factors.
Our techniques can also show an Ω(r2d/δ) lower bound for measurement strategies in which each copy is measured individually and then the outcomes are classically post-processed to produce an estimate. This matches the known achievability results and proves for the first time that such “product” measurements have asymptotically suboptimal scaling with d and r.
Habibullah, M, Dah-Chuan Lu, D, Xiao, D & Rahman, MF 1970, 'Performance investigation of selected prediction vectors based FS-PTC for 3L-NPC inverter fed motor drive', 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE, Milwaukee, WI, USA.
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© 2016 IEEE. Computational burden is a major hurdle for practical implementation of finite-state predictive torque control (FS-PTC) of motor drive fed by a multi-level inverter. One of the reasons of computational complexity is that all voltage vectors are evaluated for prediction and actuation. This paper proposes selected number of voltage vectors for the prediction and actuation, which are called prediction vectors in FS-PTC, and the performance is investigated for a three-level neutral-point clamped (3L-NPC) inverter fed motor drive. The number of prediction vectors is reduced based on the position of stator flux and the deviation in stator flux from its reference. Experimental results confirm that the computational burden is reduced significantly, while the dynamic performance in terms of torque and flux ripple, stator current total harmonic distortion (THD), neutral-point voltage, torque rise time, and average switching frequency is comparable to the all voltage vectors based FS-PTC.
Hadgraft, R, Lowe, D & Lawson, J 1970, 'Enhancing Mechanics Education through Shared Assessment Design', 2016 ASEE Annual Conference & Exposition Proceedings, 2016 ASEE Annual Conference & Exposition, ASEE Conferences, New Orleans, Louisiana, United States.
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© American Society for Engineering Education, 2016. There is considerable commonality between engineering undergraduate programs in terms of content, pedagogies, course structures and assessment practices, particularly in terms of engineering fundamentals such as mechanics. Despite this, and the availability of an array of online resources, there seems to be limited commitment to sharing learning resources among teaching academics and between institutions. Further, there seems to be a specific resistance to sharing those materials that support the teaching and learning of technical content1. Collaborations seen in research networks seem not to have equivalent presence in teaching and learning, despite a literature that points to the benefits of sharing curriculum resources 2,3. A few projects funded by the Federal Office for Learning and Teaching (OLT) in Australia have made freely available resources as deliverables (A proactive approach to addressing student learning diversity in engineering mechanics 4; Promoting student engagement and continual improvement: Integrating professional quality management practice into engineering curricula5; Remotely accessible laboratories: Enhancing learning outcomes6 and many more 7). There has been varied uptake of these, however, and the long-term maintenance of online resources is problematic. There is also a literature that identifies sustainability challenges with open educational resources including funding and intellectual property rights 3. It could be argued that failure to provide resources and, concomitantly the uptake by teaching academics of such resources impedes student access to these resources and therefore impacts their learning. It also contributes to inefficiencies brought about by work duplication. The reasons for limited uptake of resources are both institutional and individual. However, there are nuances to what is meant by a resource, how resources are modified by academics and where in a prog...
Hafeez-Baig, A, Gururajan, R & Chakraborty, S 1970, 'Assuring reliability in qualitative studies: A health informatics perspective', Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings.
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Assuring the validity and reliability of data is an essential component of data collection. While quantitative studies use certain statistical techniques such as 'Cronbach Alpha' values for a reliability index, in qualitative studies these type of measures are not widely available, and appear to be predominantly subjective. So, many studies, if at all probe this aspect, highlight what is normally termed as 'saturation' and use this as a measure of reliability. While this serves the purpose to some extent, whether researchers can use this as a concrete evidence is questionable. We propose a new approach to assure reliability in qualitative studies, and provide a case study to demonstrate our approach and its benefits. We hope that this serves as a model to many PhD students and other Early Career Researchers who pursue their studies using qualitative approaches.
Hafermalz, E, Boell, S, Elliot, S, Hovorka, D & Marjanovic, O 1970, 'Exploring dimensions of sharing economy business models enabled by IS: An Australian study', Proceedings of the 27th Australasian Conference on Information Systems, ACIS 2016.
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Over the last decade, the Sharing Economy has developed rapidly to become a significant source of market disruption. However, multi-disciplinary research into the phenomenon is constrained by uncertainties about its focus, scope and even what activities the term “Sharing Economy” refers to. This paper’s research aims are to address those constraints by clarifying concepts and terminology to afford meaningful discourse and impactful research. We do this by developing a Sharing Economy Diagnostic (ShED) for categorising companies and organizations who participate in platform-based sharing that is enabled by Information Systems. Within the Australian Sharing Economy, Information Systems occupy the sweet spot, being located at the intersection of demand for different types of market behaviours and enabling those demands by bringing market groups together in ways that are facilitating and creating new business models.
Hailu, M, Shrestha, R & Crews, K 1970, 'Long-Term Deflection of Timber-Concrete Composite Beams in Cyclic Humidity Conditions in Bending', Composite Construction in Steel and Concrete VII, International Conference on Composite Construction in Steel and Concrete 2013, American Society of Civil Engineers, North Queensland, Australia, pp. 146-157.
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© ASCE. A laboratory investigation to determine the long-term behaviour of timber-concrete composite (TCC) beams was started from August 2010 at the University of Technology, Sydney. The test was conducted on four six-meter-span TCC beams; this paper reports the results to-date for only two beams. The materials used are laminated veneer lumber (LVL) for the joists and 32 MPa concrete for the flanges. From the start of the test (August 2010), the specimens have been under sustained loads of (1.7kPa) whilst the environmental conditions have been cyclically alternated between normal and very humid conditions (typical cycle duration is six to eight weeks) and the temperature remains quasi constant (22 °C). During the test, the mid-span deflection, moisture content of the timber beams and relative humidity of the air are continuously monitored. The investigation is still continuing and this paper reports the results of the experimental investigation for the last two and half years.
Hakami, H & Chaczko, Z 1970, 'Improve data compression performance using wavelet transform based on HVS', 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), IEEE, Palmerston North, New Zealand, pp. 1-6.
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© 2016 IEEE.In recent years, multimedia computing has emerged as a major area of research. This led to the development of various other types of applications like video, images and graphics. Data compression is specifically valuable during communication as it enables the electronic devices to store and transmit the data in a smaller number of bits. The following research considers data compression as a possible solution to retrieve, store and transmit data. In relation to this, this research also aims to have a balance between the processing time, the quality and compression rate based on Human Visual System (HVS) perception. The best compression method for multimedia conversion would be to convert at the highest possible rate with the minimum amount of distortion. For this reason, the proposed method using wavelet based on HVS method with integrated JPEG2000 to achieve a high compression ratio, faster execution and better quality all in real time. This experiment work has improved the performance of the previous method and achieved the best result of data compression using wavelet based on HVS.
Hakimi, R, Saputra, YM & Nugraha, B 1970, 'Case study analysis on BGP: Prefix hijacking and transit AS', 2016 10th International Conference on Telecommunication Systems Services and Applications (TSSA), 2016 10th International Conference on Telecommunication Systems Services and Applications (TSSA), IEEE, Denpasar, INDONESIA.
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Halkon, B & Rothberg, S 1970, 'Correction of laser Doppler vibrometry measurements affected by steering mirror vibration', OPTICAL MEASUREMENT TECHNIQUES FOR STRUCTURES & SYSTEMS III, 6th International Conference on Optical Measurement Techniques for Structures and Systems III (OPTIMESS2015), SHAKER PUBLISHING BV, Univ Antwerp, Antwerp, BELGIUM, pp. 117-126.
Halkon, BJ & Rothberg, SJ 1970, 'A practical guide to laser Doppler vibrometry measurements directly from rotating surfaces', IMechE Vibrations in Rotating Machinery, IMechE Vibrations in Rotating Machinery, University of Manchester, UK.
Han, B, Tsang, IW & Chen, L 1970, 'On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), Springer International Publishing, Riva del Garda, Italy, pp. 665-680.
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© Springer International Publishing AG 2016. The convergence of Stochastic Gradient Descent (SGD) using convex loss functions has been widely studied. However, vanilla SGD methods using convex losses cannot perform well with noisy labels, which adversely affect the update of the primal variable in SGD methods. Unfortunately, noisy labels are ubiquitous in real world applications such as crowdsourcing. To handle noisy labels, in this paper, we present a family of robust losses for SGD methods. By employing our robust losses, SGD methods successfully reduce negative effects caused by noisy labels on each update of the primal variable. We not only reveal the convergence rate of SGD methods using robust losses, but also provide the robustness analysis on two representative robust losses. Comprehensive experimental results on six real-world datasets show that SGD methods using robust losses are obviously more robust than other baseline methods in most situations with fast convergence.
Han, Y, Li, J, Hoang, D, Yoo, J-H & Hong, JW-K 1970, 'An intent-based network virtualization platform for SDN', 2016 12th International Conference on Network and Service Management (CNSM), 2016 12th International Conference on Network and Service Management (CNSM), IEEE, Montreal, Quebec, Canada.
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Hanawal, MK, Nguyen, DN, Krunz, M & IEEE 1970, 'Jamming Attack on In-band Full-duplex Communications: Detection and Countermeasures', IEEE INFOCOM 2016 - THE 35TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS, IEEE Conference on Computer Communications, IEEE, San Francisco, USA.
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© 2016 IEEE. Recent advances in the design of in-band full-duplex (IBFD) radios promise to double the throughput of a wireless link. However, IBFD-capable nodes are more vulnerable to jamming attacks than their out-of-band full-duplex (OBFD) counterparts, and any advantages offered by them over the OBFD nodes can be jeopardized by such attacks. A jammer needs to attack both the uplink and the downlink channels to completely break the communication link between two OBFD nodes. In contrast, he only needs to jam one channel (used for both uplink and downlink) in the case of two IBFD nodes. Even worse, a jammer with the IBFD capability can learn the transmitters' activity while injecting interference, allowing it to react instantly with the transmitter's strategies. In this paper, we investigate frequency hopping (FH) technique for countering jamming attacks in the context of IBFD wireless radios. Specifically, we develop an optimal strategy for IBFD radios to combat an IBFD reactive sweep jammer. First, we introduce two operational modes for IBFD radios: transmission reception and transmission-detection. These modes are intended to boost the anti-jamming capability of IBFD radios. We then jointly optimize the decision of when to switch between the modes and when to hop to a new channel using Markov decision processes. Numerical investigations show that our policy significantly improves the throughput of IBFD nodes under jamming attacks.
Hao, P, Zhang, G & Lu, J 1970, 'Enhancing cross domain recommendation with domain dependent tags', 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Vancouver, CANADA, pp. 1266-1273.
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© 2016 IEEE. One challenge in recommender system is to deal with data sparsity. To handle this issue, social tags are utilized to bring disjoint domains together for knowledge transfer in cross-domain recommendation. The most intuitive way is to use common tags that present in both source and target domains. However, it is difficult to obtain a strong domain connection by exploiting a small amount of common tags, especially when the tagging data in target domain is too scarce to share enough common tags with source domain. In this paper we propose a novel framework, called Enhanced Tag-induced Cross Domain Collaborative Filtering (ETagiCDCF), to integrate the rich information contained in domain dependent tags into recommendation procedure. We perform experiments on two public datasets and compare with several single and cross domain recommendation approaches, the results demonstrate that ETagiCDCF can effectively address data sparseness and improve recommendation performance.
Hasan, H, Khabbaz, H & Fatahi, B 1970, 'Impact of Quicklime and Fly Ash on the Geotechnical Properties of Expansive Clay', Geo-China 2016, Fourth Geo-China International Conference, American Society of Civil Engineers, Shandong, China, pp. 93-100.
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© ASCE. Severe damages can occur on civil engineering structures and infrastructure including roads, channels, houses, sidewalks, and driveways if built on expansive soils. In this study to limit the expansive soil impacts on roads, quicklime and class F fly ash were employed as potential stabilisers in enhancing the engineering properties of expansive soils. The samples were prepared by integrating artificial soils combined with a mixture of quicklime-fly ash at a ratio of 1:3. Various contents of quicklime-fly ash were applied on soil samples, composed of 40% bentonite (B) and 60% kaolin (K). Sample properties were measured at 3, 7, and 28 days of curing time. Moreover, another set of soil samples were prepared containing 20% B and 80% K to study the effect of bentonite content on the soil mechanical properties of the stabilised soil.
Hashim, MS, Saip, SN, Hani, N, Pradhan, B & Abdullahi, S 1970, 'Accuracy assessment of NOGGIN Plus and MALÅ RAMAC X3M single channel ground penetrating RADAR (GPR) for underground utility mapping', IOP Conference Series: Earth and Environmental Science, IOP Publishing, pp. 012025-012025.
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Hassan, M, Liu, D & Paul, G 1970, 'Modeling and stochastic optimization of complete coverage under uncertainties in multi-robot base placements', 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Daejeon, Korea, pp. 2978-2984.
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© 2016 IEEE. Uncertainties in base placements of mobile, autonomous industrial robots can cause incomplete coverage in tasks such as grit-blasting and spray painting. Sensing and localization errors can cause such uncertainties in robot base placements. This paper addresses the problem of collaborative complete coverage under uncertainties through appropriate base placements of multiple mobile and autonomous industrial robots while aiming to optimize the performance of the robot team. A mathematical model for complete coverage under uncertainties is proposed and then solved using a stochastic multi-objective optimization algorithm. The approach aims to concurrently find an optimal number and sequence of base placements for each robot such that the robot team's objectives are optimized whilst uncertainties are accounted for. Several case studies based on a real-world application using a realworld object and a complex simulated object are provided to demonstrate the effectiveness of the approach for different conditions and scenarios, e.g. various levels of uncertainties, different numbers of robots, and robots with different capabilities.
Hazber, MAG, Li, R, Xu, G & Alalayah, KM 1970, 'An Approach for Automatically Generating R2RML-Based Direct Mapping from Relational Databases', Communications in Computer and Information Science, International Conference of Young Computer Scientists, Engineers and Educators (ICYCSEE), Springer Singapore, Harbin, China, pp. 151-169.
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For integrating relational databases (RDBs) into semantic web applications, the W3C RDB2RDF Working Group recommended two approaches, Direct Mapping (DM) and R2RML. The DM provides a set of mapping rules according to RDB schema, while the R2RML allows users to manually define mappings according to existing target ontology. The major problem to use R2RML is the effort for creating R2RML mapping documents manually. This may lead to appearance of many mistakes in the R2RML documents and requires domain experts. In this paper, we propose and implement an approach to generate an R2RML mapping documents automatically from RDB schema. The R2RML mapping reflects the behavior of the DM specification and allows any R2RML parser to generate a set of RDF triples from relational data. The input of generating approach is DBsInfo class that automatically generated from relational schema. An experimental prototype is developed and shows the effectiveness of our approach algorithms.
He, H, Maple, C, Watson, T, Tiwari, A, Mehnen, J, Jin, Y & Gabrys, B 1970, 'The security challenges in the IoT enabled cyber-physical systems and opportunities for evolutionary computing & other computational intelligence', 2016 IEEE Congress on Evolutionary Computation (CEC), 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE, Vancouver, CANADA, pp. 1015-1021.
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Internet of Things (IoT) has given rise to the fourth industrial revolution (Industrie 4.0), and it brings great benefits by connecting people, processes and data. However, cybersecurity has become a critical challenge in the IoT enabled cyber physical systems, from connected supply chain, Big Data produced by huge amount of IoT devices, to industry control systems. Evolutionary computation combining with other computational intelligence will play an important role for cybersecurity, such as artificial immune mechanism for IoT security architecture, data mining/fusion in IoT enabled cyber physical systems, and data driven cybersecurity. This paper provides an overview of security challenges in IoT enabled cyber-physical systems and what evolutionary computation and other computational intelligence technology could contribute for the challenges. The overview could provide clues and guidance for research in IoT security with computational intelligence.
He, H, Tiwari, A, Mehnen, J, Watson, T, Maple, C, Jin, Y & Gabrys, B 1970, 'Incremental information gain analysis of input attribute impact on RBF-kernel SVM spam detection', 2016 IEEE Congress on Evolutionary Computation (CEC), 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE, Vancouver, CANADA, pp. 1022-1029.
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The massive increase of spam is posing a very serious threat to email and SMS, which have become an important means of communication. Not only do spams annoy users, but they also become a security threat. Machine learning techniques have been widely used for spam detection. Email spams can be detected through detecting senders' behaviour, the contents of an email, subject and source address, etc, while SMS spam detection usually is based on the tokens or features of messages due to short content. However, a comprehensive analysis of email/SMS content may provide cures for users to aware of email/SMS spams. We cannot completely depend on automatic tools to identify all spams. In this paper, we propose an analysis approach based on information entropy and incremental learning to see how various features affect the performance of an RBF-based SVM spam detector, so that to increase our awareness of a spam by sensing the features of a spam. The experiments were carried out on the spambase and SMSSpemCollection databases in UCI machine learning repository. The results show that some features have significant impacts on spam detection, of which users should be aware, and there exists a feature space that achieves Pareto efficiency in True Positive Rate and True Negative Rate.
He, T, Li, L, Zhu, J & Zheng, L 1970, 'A novel model predictive sliding mode control for AC/DC converters with output voltage and load resistance variations', 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE, Milwaukee, WI, USA, pp. 1-6.
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© 2016 IEEE. This paper presents a novel model predictive sliding mode control (MPSMC) strategy for a three-phase grid connected AC/DC converter. The grid current is predicted for controlling the active and reactive power flows for the next sampling time instead of predicting them directly. This MPSMC scheme employs a sliding mode control (SMC) algorithm to calculate the reference values of active and reactive powers in the cost function. The reaching, existing and tracking conditions are analyzed to ensure that the designed sliding surface and control law are effective to control the system. The simulation results by Matlab/Simulink show that the MPSMC strategy is able to meet the system requirements of active and reactive powers, as well as the DC output voltage. Compared with the results obtained from the conventional model predictive PI control (MPPIC) scheme, the proposed strategy can improve the dynamic performance dramatically in terms of the response speed under system disturbances, such as varying output voltage and load demand.
He, ZY, Du, BX, Li, J, Xing, YQ, Li, A, Guo, YG & Ma, ZL 1970, 'Surface Charge Behaviors of Polyimide/Al2O3 Nanocomposite Films after Water Absorption', 2016 IEEE INTERNATIONAL CONFERENCE ON DIELECTRICS (ICD), VOLS 1-2, IEEE International Conference on Dielectrics (ICD), IEEE, FRANCE, Montpellier, pp. 301-304.
Hefferan, BN, Cliff, OM & Fitch, R 1970, 'Adversarial patrolling with reactive point processes', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, ARAA, Brisbane, Australia, pp. 39-46.
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Adversarial patrolling is an algorithmic problem where a robot visits sites within a given area so as to detect the presence of an adversary. We formulate and solve a new variant of this problem where intrusion events occur at discrete locations and are assumed to be clustered in time. Unlike related formulations, we model the behaviour of the adversary using a stochastic point process known as the reactive point process, which naturally models temporally self-exciting events such as pest intrusion and weed growth in agriculture. We present an asymptotically optimal, anytime algorithm based on Monte Carlo tree search that plans the motion of a robot given a separate event detection system in order to regulate event propagation at the sites it visits. We illustrate the behaviour of our algorithm in simulation using several scenarios, and compare its performance to a lawnmower planning algorithm. Our results indicate that our formulation and solution are promising in enabling practical applications and further theoretical extensions.
Henderson, IEJ, Uy, B, Zhu, XQ & Mirza, O 1970, 'Environmental Factors Affecting the Dynamic Response of Composite Steel-Concrete Beams', Composite Construction in Steel and Concrete VII, International Conference on Composite Construction in Steel and Concrete 2013, American Society of Civil Engineers, North Queensland, AUSTRALIA, pp. 173-184.
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Hengstebeck, A, Weisner, K, Klöckner, M, Deuse, J, Kuhlenkötter, B & Roßmann, J 1970, 'Formal Modelling of Manual Work Processes for the Application of Industrial Service Robotics', Procedia CIRP, Elsevier BV, pp. 364-369.
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© 2016 The Authors. The gap between technical capability and practical application of service robotics increased constantly within the last years, especially regarding small and medium-sized enterprises. In order to facilitate the transfer of knowledge to the shop floor, a methodology for the formal modelling of originally manual work processes was developed. Here, specific work processes can be characterized under consideration of automation relevant parameters what serves as a basis for a subsequent determination of applicable and suitable service robotic solutions. By utilizing this approach, industrial operators will be considerably supported regarding the planning and implementation of automated and especially hybrid robot-assisted work systems.
Herron, D, Andalibi, N, Haimson, O, Moncur, W, van den Hoven, E & ACM 1970, 'HCI and Sensitive Life Experiences', PROCEEDINGS OF THE NORDICHI '16: THE 9TH NORDIC CONFERENCE ON HUMAN-COMPUTER INTERACTION - GAME CHANGING DESIGN, Nordic Conference on Human-Computer Interaction (NordiCHI), ACM, Gothenburg, Sweden, pp. 1-3.
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HCI research has identified a number of life events and life transitions which see individuals in a vulnerable state, such as gender transition, domestic abuse, romantic relationship dissolution, bereavement, and even genocide. Although these life events differ across the human lifespan, considering them as a group of 'sensitive life experiences', and exploring the similarities and differences in how we approach those experiences as researchers could be invaluable in generating a better understanding of them. In this workshop, we aim to identify current opportunities for, and barriers to, the design of social computing systems that support people during sensitive life events and transitions. Participants will take part in activities centred around exploring the similarities and differences between their own and others' research methods and results, drawing on their own experiences in discussions around carrying out research in these sensitive contexts.
Herron, D, Moncur, W, van den Hoven, E & ACM 1970, 'Digital Possessions After a Romantic Break Up', PROCEEDINGS OF THE NORDICHI '16: THE 9TH NORDIC CONFERENCE ON HUMAN-COMPUTER INTERACTION - GAME CHANGING DESIGN, Nordic Conference on Human-Computer Interaction (NordiCHI), Association Computing Machinery Digital Library, Gothenburg, Sweden.
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© 2016 ACM.With technology becoming more pervasive in everyday life, it is common for individuals to use digital media to support the enactment and maintenance of romantic relationships. Partners in a relationship may create digital possessions frequently. However, after a relationship ends, individuals typically seek to disconnect from their ex-partner. This becomes difficult due to the partners' interwoven digital presence and digital possessions. In this paper, we report on a qualitative study exploring individuals' experiences of relationship break up in a digital context, and discuss their attitudes towards digital possessions from those relationships. Five main themes emerged: digital possessions that sustain relationships, comparing before and after, tainted digital possessions, digital possessions and invasions of privacy, involved and emotional reminiscing. Design opportunities were identified in managing attitudes towards digital possessions, disconnecting and reconnecting, and encouraging awareness of digital possessions.
Hidayata, MHM, Salleh, SF, Riayatsyahb, TMI, Aditiyac, HB, Mahliaa, TMI & Shamsuddina, AH 1970, 'Techno-economic analysis of bioethanol production from rice straw by liquid-state fermentation', IOP Conference Series: Earth and Environmental Science, 2nd International Conference on Advances in Renewable Energy and Technologies (ICARET), IOP Publishing, Putrajaya, MALAYSIA, pp. 012048-012048.
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Hjerrild, NE, Mesgari, S, Crisostomo, F, Scott, JA, Amal, R & Taylor, RA 1970, 'Spectrum splitting using gold and silver nanofluids for photovoltaic/thermal collectors', 2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC), 2016 IEEE 43rd Photovoltaic Specialists Conference (PVSC), IEEE, pp. 3518-3523.
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The thermal yield of hybrid photovoltaic/ thermal (PV/T) collectors is presently limited to low temperatures to prevent degradation of PV efficiency and thermal damage to the cells. This work reports a nanofluid optical filter, which transmits only the portion of the solar spectrum which is most efficiently converted to electricity by the underlying solar cell. This is achieved by suspending both core-shell silver-silica nanodiscs (Ag-SiO NDs) and gold nanorods (AuNRs) in an aqueous base fluid to absorb visible light and infrared wavelengths, respectively. The transmission spectrum of each nanofluid can be tailored according to PV cell spectral response and to accommodate for electricity and gas price fluctuations. 2
Hoang, DT & Niyato, D 1970, 'Information service pricing competition in Internet-of-Vehicle (IoV)', 2016 International Conference on Computing, Networking and Communications (ICNC), 2016 International Conference on Computing, Networking and Communications (ICNC), IEEE, Kauai, HI.
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In this work, we address the problem of service pricing competition in Internet-of-Vehicle (IoV) networks where multiple service providers compete with each other to offer vehicular services to users. We first introduce IoV networks and then develop an economic model for the competitive pricing problem among service providers through using the Bertrand game model. With the Bertrand game, we find the offered prices for providers at the Nash equilibrium. Then, we analyze the impact of parameters on the offered prices. Furthermore, due to the inefficiency of the Nash equilibrium to the profits of service providers, we propose using a repeated game model with the aim to establish a cooperation among providers such that their profits can be improved. The simulation results demonstrate the efficiency of the proposed repeated game model as well as conditions to maintain the cooperation among providers.
Ho-Le, T, Center, J, Eisman, J, Nguyen, H & Nguyen, T 1970, 'Genetic profiling of 68 SNPs is associated with femoral neck bone loss', 2016 ESA-SRB-ANZBMS Annual Meeting, Gold Coast Convention Centre, QLD.
Holland, S, McPherson, AP, Mackay, WE, Wanderley, MM, Gurevich, MD, Mudd, TW, O Modhrain, S, Wilkie, KL, Malloch, JW, Garcia, J & others 1970, 'Music and HCI', Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, ACM, pp. 3339-3346.
Hollmén, J, Spiliopoulou, M, Kane, B, Marshall, A, Soda, P, Antani, S & McGregor, C 1970, 'Preface', 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS), 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS), IEEE, pp. xiii-xiv.
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Hoque, MA, Phinn, S, Roelfsema, C & Childs, I 1970, 'Modelling tropical cyclone hazards under climate change scenario using geospatial techniques', IOP Conference Series: Earth and Environmental Science, 2nd International Conference of Indonesian-Society-for-Remote-Sensing (ICOIRS), IOP Publishing, Univ Gadjah Mada, Fac Geog, PUSPICS, Yogyakarta, INDONESIA, pp. 012024-012024.
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Hossain, MA, Pota, HR, Haruni, AMO & Hossain, MJ 1970, 'Over-voltage limiter of an inverter to improve microgrid reliability during unpredictable cases', 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), IEEE, Melbourne, AUSTRALIA, pp. 406-411.
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Huang, J, Li, S, Duan, Q, Yu, R & Yu, S 1970, 'QoS Correlation-Aware Service Composition for Unified Network-Cloud Service Provisioning', 2016 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2016 - 2016 IEEE Global Communications Conference, IEEE.
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© 2016 IEEE. Recent development in Cloud and networking technologies have stimulated unification of network and Cloud service provisioning, in which service composition plays a crucial role. While encouraging progress has been made toward network-Cloud service composition, the impact of correlated network and Cloud services on the QoS of composite services, however, has not been sufficiently studied. In this paper, we address the challenging problem of QoS correlation-aware network and Cloud service composition. Specifically, we formulate this problem as a multi-constraint optimal path problem and propose a novel algorithm to solve it. We also evaluate the performance of the proposed algorithm with extensive simulations. The experimental results show that the proposed algorithm is effective and efficient and it is able to yield service composition solutions with better QoS guarantees through considering QoS correlations among different services.
Huang, W, Chanmongthai, K & Dutkiewicz, E 1970, 'Welcome message from general co-chairs', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE.
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Huang, X, Fan, L, Zhang, J, Wu, Q & Yuan, C 1970, 'Real Time Complete Dense Depth Reconstruction for a Monocular Camera', 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, Las Vegas, Nevada., pp. 674-679.
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© 2016 IEEE. In this paper, we aim to solve the problem of estimating complete dense depth maps from a monocular moving camera. By 'complete', we mean depth information is estimated for every pixel and detailed reconstruction is achieved. Although this problem has previously been attempted, the accuracy of complete dense depth reconstruction is a remaining problem. We propose a novel system which produces accurate complete dense depth map. The new system consists of two subsystems running in separated threads, namely, dense mapping and sparse patch-based tracking. For dense mapping, a new projection error computation method is proposed to enhance the gradient component in estimated depth maps. For tracking, a new sparse patch-based tracking method estimates camera pose by minimizing a normalized error term. The experiments demonstrate that the proposed method obtains improved performance in terms of completeness and accuracy compared to three state-of the-art dense reconstruction methods VSFM+CMVC, LSDSLAM and REMODE.
Huang, X, Zhang, J, Wu, Q, Fan, L & Yuan, C 1970, 'A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds', 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016, Digital Image Computing Techniques and Applications, IEEE, Gold coast, Australia..
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With the development of numerous 3D sensing technologies, object registrationon cross-source point cloud has aroused researchers' interests. When the pointclouds are captured from different kinds of sensors, there are large anddifferent kinds of variations. In this study, we address an even morechallenging case in which the differently-source point clouds are acquired froma real street view. One is produced directly by the LiDAR system and the otheris generated by using VSFM software on image sequence captured from RGBcameras. When it confronts to large scale point clouds, previous methods mostlyfocus on point-to-point level registration, and the methods have manylimitations.The reason is that the least mean error strategy shows poor abilityin registering large variable cross-source point clouds. In this paper,different from previous ICP-based methods, and from a statistic view, wepropose a effective coarse-to-fine algorithm to detect and register a smallscale SFM point cloud in a large scale Lidar point cloud. Seen from theexperimental results, the model can successfully run on LiDAR and SFM pointclouds, hence it can make a contribution to many applications, such as roboticsand smart city development.
Huo, H, Liu, X, Li, J, Yang, H, Peng, D & Chen, Q 1970, 'A Weighted K-AP Query Method for RSSI Based Indoor Positioning', Springer International Publishing, pp. 150-163.
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Hussain, W, Hussain, F & Hussain, O 1970, 'Allocating optimized resources in the cloud by a viable SLA model', 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Vancouver, Canada, pp. 1282-1287.
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© 2016 IEEE. A cloud business environment comprises service providers and service consumers. Services are supplied through a Service Level Agreement (SLA) which defines all deliverables, commitments, obligations, QoS, violation penalties etc. that help a service provider and a service consumer to execute their business transactions. The primary aim of a service provider is to fulfill its commitment to a consumer by forming a viable SLA that wisely assigns the appropriate amount of resources to a requesting consumer. In this paper, we propose a viable SLA model that helps a service provider form a viable agreement with a consumer, based on its previous resource usage profile. The model uses a Fuzzy Inference System and takes the reliability and the contract duration of a consumer as input to calculate the suitability of this consumer, which is also used as input along with the risk propensity of a service provider to determine the amount of resources to offer to a consumer. We evaluate our approach and find that by using an optimized viable SLA model, providers are able to allocate an appropriate amount of resources to avoid an SLA violation.
Hussain, W, Hussain, F, Hussain, O & IEEE 1970, 'QoS Prediction Methods to Avoid SLA Violation in Post-Interaction Time Phase', PROCEEDINGS OF THE 2016 IEEE 11TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), IEEE Conference on Industrial Electronics and Applications, IEEE, Hefei, China, pp. 32-37.
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© 2016 IEEE. Due to the dynamic nature of cloud computing it is very important for a small to medium scale service providers to optimally assign computing resources and apply accurate prediction methods that enable the best resource management. The choice of an ideal quality of service (QoS) prediction method is one of the key factors in business transactions that help a service provider manage the risk of SLA violations by taking appropriate and immediate action to reduce occurrence, or avoid operations that may cause risk. In this paper we analyze ten prediction methods, including neural network methods, stochastic methods and others to predict time series cloud data and compare their prediction accuracy over five time intervals. We use Cascade Forward Backpropagation, Elman Backpropagation, Generalized Regression, NARX, Simple Exponential Smoothing, Simple Moving Average, Weighted Moving Average, Extrapolation, Holt-Winters Double Exponential Smoothing and ARIMA and predict resource usage at 1, 2, 3, 4 and 5 hours into the future. We use Root Means Square Error and Mean Absolute Deviation as a benchmark for their prediction accuracy. From the prediction results we observed that the ARIMA method provides the most optimal prediction results for all time intervals.
Hussain, W, Hussain, FK & Hussain, OK 1970, 'SLA Management Framework to Avoid Violation in Cloud', NEURAL INFORMATION PROCESSING, ICONIP 2016, PT III, International Conference on Neural Information Processing, Springer International Publishing, Kyoto, Japan, pp. 309-316.
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© Springer International Publishing AG 2016. Cloud computing is an emerging technology that have a broad scope to offers a wide range of services to revolutionize the existing IT infrastructure. This internet based technology offers a services like-on demand service, shared resources, multitenant architecture, scalability, portability, elasticity and giving an illusion of having an infinite resource by a consumer through virtualization. Because of the elastic nature of a cloud it is very critical of a service provider specially for a small/medium cloud provider to form a viable SLA with a consumer to avoid any service violation. SLA is a key agreement that need to be intelligently form and monitor, and if there is a chance of service violation then a provider should be informed to take necessary remedial action to avoid violation. In this paper we propose our viable SLA management framework that comprise of two time phases-pre-interaction time phase and post-interaction time phase. Our viable SLA framework help a service provider in making a decision of a consumer request, offer the amount of resources to consumer, predict QoS parameters, monitor run time QoS parameters and take an appropriate action to mitigate risks when there is a variation between a predicted and an agreed QoS parameters.
Hussain, W, Zowghi, D, Clear, T, MacDonell, S & Blincoe, K 1970, 'Managing Requirements Change the Informal Way: When Saying ‘No’ is Not an Option', 2016 IEEE 24th International Requirements Engineering Conference (RE), 2016 IEEE 24th International Requirements Engineering Conference (RE), IEEE, Beijing, China, pp. 126-135.
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Software has always been considered as malleable. Changes to software requirements are inevitable during the development process. Despite many software engineering advances over several decades, requirements changes are a source of project risk, particularly when businesses and technologies are evolving rapidly. Although effectively managing requirements changes is a critical aspect of software engineering, conceptions of requirements change in the literature and approaches to their management in practice still seem rudimentary. The overall goal of this study is to better understand the process of requirements change management. We present findings from an exploratory case study of requirements change management in a globally distributed setting. In this context we noted a contrast with the traditional models of requirements change. In theory, change control policies and formal processes are considered as a natural strategy to deal with requirements changes. Yet we observed that "informal requirements changes" (InfRc) were pervasive and unavoidable. Our results reveal an equally ’natural’ informal change management process that is required to handle InfRc in parallel. We present a novel model of requirements change which, we argue, better represents the phenomenon and more realistically incorporates both the informal and formal types of change.
Hussein, F, Awwad, S, Piccardi, M & IEEE 1970, 'JOINT ACTION RECOGNITION AND SUMMARIZATION BY SUB-MODULAR INFERENCE', 2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Shanghai, China, pp. 2697-2701.
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Action recognition and video summarization are two important multimedia tasks that are useful for applications such as video indexing and retrieval, video surveillance, human-computer interaction and home intelligence. While many approaches exist in the literature for these two tasks, to date they have always been addressed separately. Instead, in this paper we move from the assumption that these two tasks should be tackled as a joint objective: on the one hand, action recognition can drive the selection of meaningful and informative summaries; on the other, recognizing actions from a summary rather than the entire video can in principle reduce noise and prove more accurate. To this aim, we propose a novel approach for joint action recognition-summarization based on the performing latent structural SVM framework, together with an efficient algorithm for inferring the action and the summary based on the property of sub-modularity. Experimental results on a challenging benchmark, MSR Dai-lyActivity3D, show that the approach is capable of achieving remarkable action recognition accuracy while providing appealing video summaries.
Idris, MA, Mahlia, TMI, Om, NI, Hussein, I & Jamil, MR 1970, 'Effectiveness of Computerized Homework Implementation in Thermodynamics: Correlation Between Doing the Homework and the Grade', Springer Singapore, pp. 627-637.
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Ijaz, K, Wang, Y, Milne, D & Calvo, RA 1970, 'Competitive vs Affiliative Design of Immersive VR Exergames', SERIOUS GAMES, JCSG 2016, 2nd International Joint Conference on Serious Games (JCSG), Springer International Publishing, Griffith Univ, Brisbane, AUSTRALIA, pp. 140-150.
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Ijaz, K, Wang, Y, Milne, D & Calvo, RA 1970, 'VR-Rides: Interactive VR Games for Health', SERIOUS GAMES, JCSG 2016, 2nd International Joint Conference on Serious Games (JCSG), Springer International Publishing, Griffith Univ, Brisbane, AUSTRALIA, pp. 289-292.
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Imai, S, Kasauka, D, Tsutsui, H, Imagawa, T, Okuhata, H & Miyanaga, Y 1970, 'Processing time reduction of tone mapping based on iterative shrinkage smoothing using parallel processing', 2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), IEEE, Prince Songkla Univ, Dept Comp Engn, Phuket, THAILAND, pp. 211-214.
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Indraratna, B, Rujikiatkamjorn, C & Zhong, R 1970, 'Recent Developments of Vacuum-Assisted Consolidation of Soft Estuarine Clays', Geotechnical and Structural Engineering Congress 2016, Geotechnical and Structural Engineering Congress 2016, American Society of Civil Engineers, pp. 950-959.
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© ASCE. For vacuum-Assisted ground improvement on highly compressible alluvial or marine deposits, the application of suction pressure accelerates consolidation and controls lateral deformation by isotropically increasing the effective stress. Analytical, numerical, and experimental research on vacuum-Assisted prefabricated vertical drains (PVDs) has been conducted at University of Wollongong in past 15 years. Key factors such as vacuum distribution, extent of smear, occurrence of non-Darcian flow, and large-strain effects have been studied and their implications are presented in the paper. Some practical approaches have been proposed to facilitate industrial design schemes for vacuum consolidation. 2D plane strain conversion approach has been proposed for numerical modeling of large soft area treated with multiple PVDs. The behavior of vacuum stabilized soil in the field has been predicted by the numerical models applied to selected case studies through fully-instrumented field trials, by measuring settlement, lateral movement and excess pore water pressure data. A good agreement between the predicted and field data was achieved. Some key theoretical and numerical approaches are presented in this paper, together with the case study involving the Ballina Bypass in Australia.
Indraratna, B, Rujikiatkamjorn, C, Zhong, R & Nguyen, T 1970, 'Drain and vacuum for soft soil stabilisation- Recent advances in experimental and numerical modelling', Proceedings of the 3rd International Conference GEOTEC on 'Geotechnics for Sustainable Infrastructure Development', Hanoi.
Inibhunu, C & McGregor, C 1970, 'Machine learning model for temporal pattern recognition', 2016 IEEE EMBS International Student Conference (ISC), 2016 IEEE EMBS International Student Conference (ISC), IEEE.
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Temporal abstraction and data mining are two research fields that have tried to synthesis time oriented data and bring out an understanding on the hidden relationships that may exist between time oriented events. In clinical settings, having the ability to know the hidden relationships on patient data as they unfold could help save a life by aiding in detection of conditions that are not obvious to clinicians and healthcare workers. Understanding the hidden patterns is a huge challenge due to the exponential search space unique to time-series data. In this paper, we propose a temporal pattern recognition model based on dimension reduction and similarity measures thereby maintaining the temporal nature of the raw data.
Ishac, K & Suzuki, K 1970, 'Gesture based robotic arm control for meal time care using a wearable sensory jacket', 2016 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS), 2016 IEEE International Symposium on Robotics and Intelligent Sensors (IRIS), IEEE, Tokyo, JAPAN, pp. 122-127.
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Islam, M, Nadarajah, M & Hossain, J 1970, 'Multifunctional control of single-phase transformerless PV inverter connected to a distribution network', 2016 Australasian Universities Power Engineering Conference (AUPEC), 2016 Australasian Universities Power Engineering Conference (AUPEC), IEEE.
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Islam, M, Nadarajah, M & Hossain, J 1970, 'Multifunctional control of single-phase transformerless PV inverter connected to a distribution network', Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016, Australasian Universities Power Engineering Conference (AUPEC), IEEE, Brisbane, AUSTRALIA.
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Recently transformerless grid-tied photovoltaic (PV) inverters are getting popular in order to address several concerns; for example, poor efficiency, large size, and heavy weight compared to those with traditional inverter topologies. However, according to the several recently updated grid codes, the grid-tied PV inverter are required to provide full range of services such as maximum power injection, grid voltage regulation (VR), and fault ride through (FRT). In this paper, the performance of a transformerless PV system with a new droop based controller connected to the low voltage distribution system under different operating condition is investigated. In order to provide full-range of grid supporting services, three operation modes are proposed. A detail description of the transformerless PV inverter, droop based controller, and the control strategy are provided. The theoretical analysis is verified using nonlinear simulations in MATLAB/Simulink software environment. The results show that the presented system is capable of injecting maximum power when participate in the grid voltage regulation, and also can enhance fault ride through capability.
Islam, MS, Saha, SC, Sauret, E & Gu, YT 1970, 'Numerical investigation of diesel exhaust particle transport and deposition in up to 17 generations of the lung airway', Proceedings of the 20th Australasian Fluid Mechanics Conference, AFMC 2016.
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Diesel exhaust particulates matter (DEPM) is a compound mixture of gases and fine particles that contains more than 40 toxic air pollutants including benzene, formaldehyde, and nitrogen oxides. Exposure of DEPM to human lung airway during respiratory inhalation causes severe health hazards like diverse pulmonary diseases. This paper studies the DEPM transport and deposition in upper 17-generation of digital lung airways. The Euler-Lagrange approach is used to solve the continuum and disperse phases of the calculation. Lagrangian based Discrete Phase Model (DPM) is used to investigate the DEPM nanoparticle dispersion and deposition in the current anatomical model. The effects of size specific monodispersed particles on deposition are extensively investigated during resting condition. The numerical results illustrate that Brownian diffusion is the dominant mechanism for smaller diameter particles. The present 17-generation bifurcation model also depicts different deposition hot spot for various diameter particles which could advance the understanding of the therapeutic drug delivery system to the specific position of the respiratory airways.
Israr, J, Indraratna, B & Rujikiatkamjorn, C 1970, 'Experimental Investigation into Internal Erosion Potential for Granular Filters', Proceedings of 13th Baltic Sea Geotechnical Conference, The 13th Baltic Sea Region Geotechnical Conference, Vilnius Gediminas Technical University, Vilnius, LITHUANIA, pp. 248-253.
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Internal erosion is a phenomenon whereby the filtrates under the influence of significant seepage forces accompany the finer fraction from potential internally unstable filters (e.g. broadly- and gap-graded soil), occasionally rendering them ineffective. The filter assessment for internal erosion or instability potential is emphasized through particle size distribution based geometrical criteria ignoring the effect of compaction. In this study, the results of hydraulic gradient controlled internal erosion tests conducted over a wide range of compacted sand-gravel mixtures were used to analyse some of the available geometrical criteria, which interestingly showed partial success in assessing the filter’s internal erosion potential. It was revealed that the occurrence of internal erosion is a combined function of particle size distribution and the relative density of soils that had been ignored in many of the existing criteria. A comparison between the assessments obtained from some of the particle size based criteria and that from a constriction size based technique was reported for a large body of published data. It was observed that the latter criterion, which incorporates the effects of both particle size distribution and relative density of soils in tandem, could assess the reported test results with higher accuracy.
Izaddoost, A & McGregor, C 1970, 'Enhance Network Communications in a Cloud-Based Real-Time Health Analytics Platform Using SDN', 2016 IEEE International Conference on Healthcare Informatics (ICHI), 2016 IEEE International Conference on Healthcare Informatics (ICHI), IEEE, Chicago, IL, pp. 388-391.
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© 2016 IEEE. Transferring collected physiological data from health facilities to a cloud-based health analytical platform can be seen as an efficient and cost effective approach to provide clinical support to rural and remote healthcare centres from urban based specialists. A cloud-based healthcare platform will reduce the requirement of patient transfer due to lack of clinical experts or providing consultative support through the phone. However transferring physiological data streams through a data path with insufficient quality and unsatisfactory conditions may have negative performance impact on real-time data processing. To address this issue, we study the benefit of using software-defined networking (SDN) technology. SDN as an emerging networking paradigm, can be employed to manage and control network conditions and apply desired policies. This research introduces the significant features in SDN technology to transfer physiological data streams through an alternative path with a better quality rather than the congested predetermined shortest path in order to enhance data transfer reliability and improve real-time data processing quality.
Jalali, R, Dauda, A, El-Khatib, K, McGregor, C & Surti, C 1970, 'An architecture for health data collection using off-the-shelf health sensors', 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), 2016 IEEE International Symposium on Medical Measurements and Applications (MeMeA), IEEE, pp. 1-6.
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Nowadays, many people, and not only the ones with health problems are being more health conscious. With the advent of sensor based technologies, it has become possible to create wearable wireless biometric sensor networks, known as Body Sensor Networks (BSNs) which allow people to collect their health data and send it remotely for further analysis and storage. Research has shown that the use of BSNs enables remote wireless diagnosis of various health conditions. In this paper, we propose a novel layered architecture for smart healthcare system where health community service providers, patients, doctors and hospitals have access to real time data which has been gathered using various sensory mechanisms. An experimental case study has been implemented for evaluation. Early results show benefits of this system in improving the quality of health care.
Jayarajah, K, Balan, RK, Radhakrishnan, M, Misra, A & Lee, Y 1970, 'LiveLabs', Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys'16: The 14th Annual International Conference on Mobile Systems, Applications, and Services, ACM.
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Jayarajah, K, Radhakrishnan, M & Zakaria, C 1970, 'Duplicate issue detection for the Android open source project', Proceedings of the 5th International Workshop on Software Mining, ASE'16: ACM/IEEE International Conference on Automated Software Engineering, ACM.
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Ji, Z 1970, 'Classical verification of quantum proofs', Proceedings of the forty-eighth annual ACM symposium on Theory of Computing, STOC '16: Symposium on Theory of Computing, ACM, Cambridge, MA, USA, pp. 885-898.
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We present a classical interactive protocol that verifies the validity of a quantum witness state for the local Hamiltonian problem. It follows from this protocol that approximating the non-local value of a multi-player one-round game to inverse polynomial precision is QMA-hard. Our work makes an interesting connection between the theory of QMA-completeness and Hamiltonian complexity on one hand and the study of non-local games and Bell inequalities on the other.
Jiang, F, Gan, J, Xu, Y & Xu, G 1970, 'Coupled behavioral analysis for user preference-based email spamming', 2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC), 2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC), IEEE, Durham, NC, pp. 72-76.
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© 2016 IEEE.In this paper, we develop and implement a new email spamming system leveraged by coupled text similarity analysis on user preference and a virtual meta-layer user-based email network, we take the social networks or campus LAN networks as the spam social network scenario. Fewer current practices exploit social networking initiatives to assist in spam filtering. Social network has essentially a large number of accounts features and attributes to be considered. Instead of considering large amount of users accounts features, we construct a new model called meta-layer email network which can reduce these features by only considering individual user's actions as an indicator of user preference, these common user actions are considered to construct a social behavior-based email network. With the further analytic results from text similarity measurements for each individual email contents, the behavior-based virtual email network can be improved with much higher accuracy on user preferences. Further, a coupled selection model is developed for this email network, we are able to consider all relevant factors/features in a whole and recommend the emails practically to the user individually. The experimental results show the new approach can achieve higher precision and accuracy with better email ranking in favor of personalised preference.
Jiang, J, Qu, Y, Yu, S, Zhou, W & Wu, W 1970, 'Studying the Global Spreading Influence and Local Connections of Users in Online Social Networks', 2016 IEEE International Conference on Computer and Information Technology (CIT), 2016 IEEE International Conference on Computer and Information Technology (CIT), IEEE, Nadi, FIJI, pp. 431-435.
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Jiang, J, Wen, S, Yu, S, Zhou, W & Qian, Y 1970, 'Analysis of the Spreading Influence Variations for Online Social Users under Attacks', 2016 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2016 - 2016 IEEE Global Communications Conference, IEEE.
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© 2016 IEEE. Identifying influential spreaders in online social networks (OSNs) has long been an important but difficult problem to be addressed. Distinguished from previous works that mainly focused on the stationary features of users' influence, we systematically study the variations of users' spreading capability given the fact that influential spreaders are more likely to be the targets of various cyber attacks in real OSNs. In order to rank users' spreading capability, we adopt the k-shell structure which assigns a coreness index, ks, to each user. We find that users' spreading capability can considerably change when attacks occur in specific structures of OSNs. Generally, if the OSN structure is assortative (i.e., large-degree nodes preferably connect to nodes with large degree), users' spreading capability is resilient to attacks. However, if the OSN structure is disassortative (i.e., large-degree nodes preferably connect to nodes with small degree), users' spreading capability decreases significantly under attacks. We further carried out a series of empirical studies in real OSN datasets to disclose the causation of the variations caused by attacks. The research presented in this paper benefit decision makers to protect the propagation in the case of product promotion or prevent the diffusion like rumor.
Joshi, RG, Chelliah, J, Sood, S & Burdon, S 1970, 'Nature and spirit of exchange and interpersonal relationships fostering grassroots innovations', Journal of Developing Areas, Asia Pacific Conference on Business and Social Sciences, Kuala Lumpur, Malaysia, pp. 399-409.
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Exchange and interpersonal relationships are central to the functioning and sustainability of socio-economic activities, including innovation. Grassroots innovations (GI) are dynamic and relational phenomena that evolve with grassroots innovators’ beliefs, expectations and obligatory relationships for varied resources, and the actualization of their desire to make novel and beneficial products. In this paper, the dynamics of exchange and interpersonal relationships that underpin the GI phenomenon are explored through the lens of exchange theory and the consideration of the psychological contract. While exchange theory provides an explanation for the interdependent and dyadic socio-economic relations present in GI, the psychological contract provides a view on the perceptions and expectations that are embedded in exchange and innovation activities. These two theoretical lenses serve as a foundation for the research to engage with the subjective reality of the grassroots innovators’ experiences. In examining the subjective reality of the innovation experiences of the grassroots innovators; the research thereby discerns the dominant form of exchange and socio-economic structure that fosters GI from ideation to commercial scaling. Through the use of phenomenological exploration and detailed thematic analysis of the innovation experiences of the thirteen Indian grassroots innovators, the research determined the nature and spirit of the relational commercial exchanges that both entail and foster GI. The paper starts off with the discussion of the theoretical foundations of the research. Thereafter, the paper briefly discusses the research methodology and the exchange dynamics present in GI. In assimilating the research findings, the paper enlists the features of exchanges embedded in GI phenomenon and highlights the capacity of relational commercial exchanges in fostering GI. The paper further proposes, through this discussion, an interpretive framework for u...
Juang, C-F & Chang, Y-C 1970, 'Data-driven interpretable fuzzy controller design through mult-objective genetic algorithm', 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE.
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Jurado, C 1970, 'Micropiling Two Bridges in Construction in the Motorway M-410 in Madrid (Spain)', Life-Cycle of Engineering Systems: Emphasis on Sustainable Civil Infrastructure - 5th International Symposium on Life-Cycle Engineering, IALCCE 2016, International Symposium on Life-Cycle Engineering, CRC Press, Delft, The Netherlands, pp. 2338-2342.
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© 2017 Taylor & Francis Group, London. Steel tubular T-joints are one of the simplest and widely used connections used in connecting structural members. Stress concentration usually exists at the vicinity of the joint. In this paper, variation of the maximum Stress Concentration Factor (SCF) with non-dimensional geometric parameters β, τ, γ and α in concrete-filled steel tubular (CFST) T-joints under axial tension has been investigated. Graphs showing variation of the maximum SCF, in CFST T-joints, with non-dimensional geometric parameters have been developed and compared with those for non-filled empty T-joints. The graphs showed that parameter has the most influence. The graphs also showed that the variation pattern in the CFST is different to that in the empty T-joints except the variation of parameter.
Kamal, MS, Nimmy, SF, Hossain, MI, Dey, N, Ashour, AS & Santhi, V 1970, 'ExSep: An exon separation process using Neural Skyline Filter', 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), IEEE.
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Kamaleswaran, R, James, A, Collins, C & McGregor, C 1970, 'CoRAD: Visual Analytics for Cohort Analysis', 2016 IEEE International Conference on Healthcare Informatics (ICHI), 2016 IEEE International Conference on Healthcare Informatics (ICHI), IEEE, Chicago, IL, pp. 517-526.
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© 2016 IEEE. In this paper, we introduce a novel dynamic visual analytic tool called the Cohort Relative Aligned Dashboard (CoRAD). We present the design components of CoRAD, along with alternatives that lead to the final instantiation. We also present an evaluation involving expert clinical researchers, comparing CoRAD against an existing analytics method. The results of the evaluation show CoRAD to be more usable and useful for the target user. The relative alignment of physiologic data to clinical events were found to be a highlight of the tool. Clinical experts also found the interactive selection and filter functions to be useful in reducing information overload. Moreover, CoRAD was also found to allow clinical researchers to generate alternative hypotheses and test them in vivo.
Kanagaraj, G, Ponnambalam, SG & Gandomi, AH 1970, 'Hybridizing Cuckoo Search with Bio-inspired Algorithms for Constrained Optimization Problems', SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING (SEMCCO 2015), 6th International Conference on Swarm, Evolutionary and Memetic Computing (SEMCCO), Springer International Publishing, CMR Tech Campus, Hyderabad, INDIA, pp. 260-273.
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Kang, G, Li, J & Tao, D 1970, 'Shakeout: A New Regularized Deep Neural Network Training Scheme.', AAAI, AAAI Conference on Artificial Intelligence, AAAI Press, Phoenix, USA, pp. 1751-1757.
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© Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. Recent years have witnessed the success of deep neural networks in dealing with a plenty of practical problems. The invention of effective training techniques largely contributes to this success. The so-called 'Dropout' training scheme is one of the most powerful tool to reduce over-fitting. From the statistic point of view, Dropout works by implicitly imposing an L2 regularizer on the weights. In this paper, we present a new training scheme: Shakeout. Instead of randomly discarding units as Dropout does at the training stage, our method randomly chooses to enhance or inverse the contributions of each unit to the next layer. We show that our scheme leads to a combination of L1 regularization and L2 regularization imposed on the weights, which has been proved effective by the Elastic Net models in practice.We have empirically evaluated the Shakeout scheme and demonstrated that sparse network weights are obtained via Shakeout training. Our classification experiments on real-life image datasets MNIST and CIFAR- 10 show that Shakeout deals with over-fitting effectively.
Karkošková, S & Feuerlicht, G 1970, 'Cloud Computing Governance Reference Model', Lecture Notes in Business Information Processing, Springer International Publishing, pp. 193-203.
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© Springer International Publishing Switzerland 2016. Large-scale adoption of cloud computing has resulted in the fragmentation of responsibilities over IT resources between consumers and providers of cloud services, necessitating the re-assessment of governance principles and processes. In this paper we have described a Cloud Computing Governance Reference Model that is an adaptation of the SOA Governance Reference Model with specific extensions to cover the governance requirements of cloud computing environments. The reference model includes definition of guiding principles and specification of governance processes.
Karmokar, DK, Guo, YJ, Qin, P-Y, Esselle, KP & Bird, TS 1970, 'A dual-band half-width microstrip leaky-wave antenna for beam scanning in the forward and backward directions', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, QLD, Australia, pp. 816-819.
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© 2016 IEEE. A microstrip leaky-wave antenna (LWA) loaded periodically with C-shaped slots is described. Uniform half-width (HW) microstrip LWAs (HW-MLWAs) operate in a single band and radiate a main beam that scans only in the forward direction. The proposed antenna operates in two frequency bands and the main beam can be steered in both the forward and backward directions by sweeping the frequency. The -10 dB reflection bandwidths of the antenna are 4.2 to 4.9 GHz and 8.23 to 8.8 GHz. The beam scanning ranges of the antenna are 22° to 59° and -76° to -18° when the frequency is swept from 4.2 to 5 GHz and 7.85 to 8.9 GHz, respectively.
Kasauka, D, Tsutsui, H, Imai, S, Imagawa, T, Okuhata, H & Miyanaga, Y 1970, 'Image smoothing in the spatial domain using multigrid conjugate gradient methods based on accelerated iterative shrinkage', 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), IEEE.
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Kassir, A, Fitch, R & Sukkarieh, S 1970, 'Communication-efficient motion coordination and data fusion in information gathering teams', 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Daejeon, Korea, pp. 5258-5265.
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Multi-robot information gathering teams typically require communication for data fusion and cooperative decision making. However, when communication takes place over wireless networks, stringent bandwidth limits apply. These limits raise the need for efficient utilisation of available communication resources in a manner that balances information gathering utility with communication costs or limits. In our previous work, we introduced the dynamic information flow (DIF) problem as a general formulation of this trade-off. We introduced two variants of the problem addressing the issue of communication efficiency for data fusion only. In this paper, we extend one of the variants to address communication efficiency for both data fusion and cooperative decision making in a synergistic manner. We present a solution to this new variant that integrates a multi-cast routing algorithm with information structure optimisation. This solution allows teams that involve high-data-rate sensors and tight coordination to respect bandwidth limits. Through several simulations we verify that our solution significantly reduces bandwidth usage of such teams while maintaining information gathering performance.
Khalili, SM, Babagolzadeh, M, Yazdani, M, Saberi, M & Chang, E 1970, 'A Bi-objective Model for Relief Supply Location in Post-Disaster Management', 2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS), 2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS), IEEE, Ostrava, CZECH REPUBLIC, pp. 428-434.
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Khallaf, M & Jupp, J 1970, 'Designing for Urban Microclimates: Towards A Generative Performance-based Approach to Wind Flow Optimization', Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe, pp. 95-106.
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This paper presents the foundations of a multidisciplinary design optimisation method that addresses the problem of competing wind flow profiles within urban microclimates. The simultaneous integration of architectural and urban design parameters and their aerodynamic constraints are investigated. Differences in the height of tall buildings, which define the urban canopy layer are accounted for. The formulation that supports the simulation of aerodynamic forces at the architectural and urban scales includes multidisciplinary parameter specification of 2D and 3D building geometry, spatial morphology, spatial topology, wind flow settings, and wind flow compliance. The MDO framework and its development are discussed relative to their generative performance-based capacity and innovative approach to multidisciplinary wind flow optimization
Khan, M, Xu, X, Dou, W & Yu, S 1970, 'OSaaS: Online Shopping as a Service to Escalate E-Commerce in Developing Countries', PROCEEDINGS OF 2016 IEEE 18TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS; IEEE 14TH INTERNATIONAL CONFERENCE ON SMART CITY; IEEE 2ND INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS), 18th IEEE International Conference on High Performance Computing and Communications (HPCC) / 14th IEEE International Conference on Smart City (Smart City) / 2nd IEEE International Conference on Data Science and Systems (DSS), IEEE, AUSTRALIA, Sydney, pp. 1402-1409.
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Khan, M, Xu, X, Dou, W & Yu, S 1970, 'OSaaS: Online Shopping as a Service to Escalate E-Commerce in Developing Countries', 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), IEEE, pp. 1402-1409.
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© 2016 IEEE. Service Computing, peculiarly, Everything as a Service (XaaS) has brought an immense commute in the cloud computing and boosts up the business strategies by introducing online platforms and technologies. It creates a new horizon of opportunities in business process, modeling, management and online shopping. Here a set of problems is unfolded which destitute the growth rate of E-Commerce in developing countries, especially, in rural areas. Low literacy, communication language, limited Internet access, low Internet users, non-availability of credit or debit cards are the core problems in the developing countries for online shopping. In this paper, Online Shopping as a Service model with Cloud Service Center is proposed to overcome these challenges. This model escalates the online shopping usage to enhance E-Commerce. Cloud service center is introduced in this model which plays a third party role between consumers and online vendors. Consumers can place an order to the cloud service center in local language via phone or can visit the facility center for the desired product. Experimental analysis showed the adoption of our proposed model to build confidence of online vendors for implementation in immense range in least developed regions.
Khan, SA, Guo, Y & Zhu, J 1970, 'A high efficiency transformerless PV grid-connected inverter with leakage current suppression', 2016 9th International Conference on Electrical and Computer Engineering (ICECE), 2016 9th International Conference on Electrical and Computer Engineering (ICECE), IEEE, Dhaka, Bangladesh, pp. 190-193.
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© 2016 IEEE. This paper presents a new diode free freewheeling and common-mode voltage (CMV) clamping branches for single phase transformerless grid connected photovoltaic (PV) inverter for complete leakage current elimination and low conduction losses. In the past, various isolation techniques have been proposed for leakage current elimination in transformerless PV inverters. However, galvanic isolation only cannot completely eliminate leakage current due to that a resonant path is created by the switch junction capacitors, which also generate leakage current. The proposed freewheeling branch consists of four MOSFETs along with a clamping branch, which consists of two MOSFETs and a capacitor divider. The divider is connected to the DC side of the converter to keep constant CMV in the freewheeling path. As a result, the improved CMV clamping has been achieved for complete leakage current elimination. The unipolar sinusoidal pulse width modulation (SPWM) technique and modified HERIC topology with AC-decoupling for galvanic isolation is adopted for lower conduction losses. The proposed topology consists of only MOSFET in the freewheeling and clamping path which provides lower conduction losses compared with diode based topologies. The performances of the proposed topology in terms of common mode characteristics, leakage current, total harmonic distortion and conversion efficiency are analyzed and compared with H5, H6, HERIC and HBZBR topologies. The detail analyses are performed using MATLAB/Simulink and PSIM.
Khare, V, Shivakumara, P, Kumar, A, Chan, CS, Lu, T & Blumenstien, M 1970, 'A quad tree based method for blurred and non-blurred video text frames classification through quality metrics', 2016 23rd International Conference on Pattern Recognition (ICPR), 2016 23rd International Conference on Pattern Recognition (ICPR), IEEE, Cancun, Mexico, pp. 4023-4028.
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Blur is a common artifact in video, which adds more complexity to text detection and recognition. To achieve good accuracies for text detection and recognition, this paper suggests a new method for classifying blurred and non-blurred frames in video. We explore quality metrics, namely, BRISQUE, NRIQA, GPC and SI, in a new way for classification. We estimate the values of these metrics with the help of predefined samples called reference values. To widen the difference between metric values for better classification, we introduce scaling factors as a non-linear sigmoidal function, which considers the metric of each current frame and its reference and results in templates. Based on the characteristics of metrics, the proposed method finds a relationship between the metrics to derive rules for classification. To classify the frame containing local blur, we explore quad tree division with classification rules which divide non-blurred blocks to identify local blur. We use standard databases, namely, ICDAR 2013, ICDAR 2015 and YVT videos for experimentation, and evaluate the proposed method in terms of text detection and recognition rates given by text detection and binarization methods before and after classification.
Khosoussi, K, Shoudong Huang & Dissanayake, G 1970, 'Tree-connectivity: Evaluating the graphical structure of SLAM', 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Stockholm, Sweden, pp. 1316-1322.
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© 2016 IEEE. Simultaneous localization and mapping (SLAM) in robotics, and a number of related problems that arise in sensor networks are instances of estimation problems over weighted graphs. This paper studies the relation between the graphical representation of such problems and estimationtheoretic concepts such as the Cramér-Rao lower bound (CRLB) and D-optimality. We prove that the weighted number of spanning trees, as a graph connectivity metric, is closely related to the determinant of CRLB. This metric can be efficiently computed for large graphs by exploiting the sparse structure of underlying estimation problems. Our analysis is validated using experiments with publicly available pose-graph SLAM datasets.
Kim, J, Cheng, J & Guivant, J 1970, 'Tightly-coupled integration of GPS/INS and simultaneous localisation and mapping', Australasian Conference on Robotics and Automation, ACRA, pp. 194-199.
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This paper presents a tightly integrated navigation system combining global positioning system (GPS) and inertial-based simultaneous localization and mapping (SLAM) for UAV platforms. GPS raw measurements, called pseudorange and pseudorange rate, are directly fused to an inertial SLAM filter. A compressed form of unscented filtering is implemented by partitioning the map into a local and global one. The performance of the proposed method is analysed using a high-fidelity 6-degrees-of-freedom simulator, demonstrating accurate and robust navigation even under a single satellite observation. The information gain of bearing and elevation angles is further analysed offering effective sensing strategies.
Kim, Y-M, Velcin, J, Bonnevay, S & Rizoiu, M-A 1970, 'Temporal Multinomial Mixture for Instance-Oriented Evolutionary Clustering', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 593-604.
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Evolutionary clustering aims at capturing the temporal evolution of clusters.This issue is particularly important in the context of social media data thatare naturally temporally driven. In this paper, we propose a new probabilisticmodel-based evolutionary clustering technique. The Temporal Multinomial Mixture(TMM) is an extension of classical mixture model that optimizes featureco-occurrences in the trade-off with temporal smoothness. Our model isevaluated for two recent case studies on opinion aggregation over time. Wecompare four different probabilistic clustering models and we show thesuperiority of our proposal in the task of instance-oriented clustering.
Kionig, L, Vold, T & Braun, R 1970, 'Exploring positive deviance for enhancing learning outcomes in higher education and training', 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), IEEE, Istanbul, Turkey, pp. 1-4.
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© 2016 IEEE. Due to the terror actions of the 22nd of July 2011 there has been an increased focus on the preparedness and also training for handling and managing crisis. Organizations and municipalities are obliged to have plans for handling crises and plans for training their employees. The focus is often to learn from what went wrong and most reports focus on the improvement areas, implying that there are faults and deficiencies. Positive Deviance (PD) is about looking for success stories, when the statistics imply that it should not be a success. The term PD was in the 1990's introduced and explored by nutrition professor Marian Zeitlin in her book 'Positive Deviance in Nutrition' at Tufts University. Also visiting Tufts University was Jerry and Monique Sternin which brought the ideas further and developed it as a tool for social change. From the PD webpage www.positivedeviance.org, we find: 'Positive Deviance is based on the observation that in every community there are certain individuals or groups whose uncommon behaviors and strategies enable them to find better solutions to problems than their peers, while having access to the same resources and facing similar or worse challenges. The Positive Deviance approach is an asset-based, problem-solving, and community-driven approach that enables the community to discover these successful behaviors and strategies and develop a plan of action to promote their adoption by all concerned.' However, to look for the small successes and explore 'why this was a success', is also possible in other areas than within social change. Which (minor) elements contributed to how this actually had a successful ending, even if the surrounding factors indicated failure? In finding these minor details that contributed to an unexpected success lay a learning potential that is worth exploring, for instance in the area of Crisis Training. One student group in the Crisis Communication course received a task that was about disco...
Kocaballi, AB & Yorulmaz, Y 1970, 'Performative Photography as an Ideation Method', Proceedings of the 2016 ACM Conference on Designing Interactive Systems, DIS '16: Designing Interactive Systems Conference 2016, ACM, Qeensland Univ Technol, Brisbane, AUSTRALIA, pp. 1083-1095.
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Kolagani, N, Gray, S & Voinov, A 1970, 'Session D1: Tools and methods of participatory modelling', Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016, p. 804.
Kolamunna, H, Hu, Y, Perino, D, Thilakarathna, K, Makaroff, D, Guan, X & Seneviratne, A 1970, 'AFit', Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct, UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, ACM.
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Kolamunna, H, Hu, Y, Perino, D, Thilakarathna, K, Makaroff, D, Guan, X & Seneviratne, A 1970, 'AFV', Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, ACM.
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Kong, X, Brookes, W, Wang, Z, Han, B & Liu, L 1970, 'Identification and Analysis of Factors Influencing theEfficiency of Web Development Team Projects from theStudents’ Perspective', Proceedings of The 27th Australasian Association for Engineering Education, The 27th Australasian Association for Engineering Education, Southern Cross University, Coffs Harbour, Australia.
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The postgraduate subject “Web Technologies” is offered to engineering students who have different engineering backgrounds. The students have generally studied other computer programming and design methodologies in their engineering domain. The major learning objectives of this subject include being able to critically evaluate web technologies, apply web design methodologies to web based systems, and work efficiently with groups. To achieve these objectives, we have designed a web development process to apply to the major assessment task of developing a web system as a group. This research is to study the efficiency of this process with regard to student learning.
Kong, Y, Zhang, M & Ye, D 1970, 'A Group Task Allocation Strategy in Open and Dynamic Grid Environments', Studies in Computational Intelligence, Springer International Publishing, pp. 121-139.
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Against the problem of group task allocation with time constraints in open and dynamic grid environments, this paper proposes a decentralised indicator-based combinatorial auction strategy for group task allocation. In the proposed strategy, both resource providers and consumers are modeled as intelligent agents. All the agents are limited to communicating with their neighbour agents, therefore, the proposed strategy is decentralised. In addition, the proposed strategy allow agents to enter and leave the grid environments freely, and is robust to the dynamism and openness of the grid environments. Tasks in the proposed strategy have deadlines and might need the collaboration of a group of self-interested providers to be executed. The experimental results demonstrate that the proposed strategy outperforms a well-known decentralised task allocation strategy in terms of success rate, individual utility of the involved agents and the speed of task allocation.
Korhonen, JJ, Lapalme, J, McDavid, D & Gill, AQ 1970, 'Adaptive Enterprise Architecture for the Future: Towards a Reconceptualization of EA.', CBI (1), IEEE Conference on Business Informatics (CBI), IEEE, Paris, France, pp. 272-281.
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© 2016 IEEE. In some conventional definitions, Enterprise Architecture (EA) is conceived as a descriptive overview of the enterprise, while in other views EA is seen as a prescriptive framework of principles and models that helps translate business strategy to enterprise change. The conceptualizations of EA also vary in scope. There is an increasing recognition of EA as a systemic, enterprise-wide capability encompassing all relevant facets of the organization, transcending the traditional IT-centric view. However, we argue that none of the conventional conceptualizations of EA are adaptive in the face of today's complex environment. We view that an adaptive EA must go beyond a single organization and fully appreciate enterprise-in-environment ecosystemic perspective. Drawing on the heritage of Open Socio-Technical Systems Design and adopting the 'three schools of thought' as a meta-paradigmatic backdrop, the paper features four different views of long-time scholar-practitioners, who discuss what an adaptive enterprise architecture would entail. Integration of these views paints a radically reconceptualized picture of enterprise architecture for the future. With this paper, we want to lay a foundation for a debate on the need for alternative conceptualizations, manifestations and research agenda for enterprise architecture.
Kovaleva, M, Zeb, BA, Bulger, D & Esselle, KP 1970, 'An extremely wideband Fabry-Perot cavity antenna for superfast wireless backhaul applications', 2016 17th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM), 2016 17th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM), IEEE, Montreal, CANADA.
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Kovaleva, M, Zeb, BA, Bulger, D & Esselle, KP 1970, 'Radiation performance enhancement of a compact Fabry-Perot cavity antenna using particle swarm optimization', 2015 International Symposium on Antennas and Propagation, ISAP 2015, International Symposium on Antennas and Propagation (ISAP), IEEE, Hobart, AUSTRALIA.
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A Fabry-Perot cavity antenna (FPCA) with a compact single-layer all-dielectric superstructure is designed using particle swarm optimization (PSO). The PSO algorithm, implemented in a MATLAB code, considers Ackley function to achieve stable convergence by adjusting its internal parameters. We performed single-objective optimization using an objective function that maximizes the sum of boresight directivities at three distinct frequencies. It was found that peak directivity of 19 dBi and 3-dB directivity bandwidth of 24 % can be achieved by optimizing the permittivity distribution of the superstructure with a diameter of 2.2A0.
Kovaleva, M, Zeb, BA, Bulger, D & Esselle, KP 1970, 'Simulation-driven optimization of a compact Fabry-Perot cavity antenna', 2016 IEEE International Symposium on Antennas and Propagation (APSURSI), 2016 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, IEEE, Fajardo, PR, pp. 541-542.
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Krishnan, D, Zhou, X, Chakraborty, S, Gururajan, R & Gururajan, R 1970, 'Software development for managing nutrition intake for Type II diabetes mellitus', 2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA), 2016 10th International Conference on Software, Knowledge, Information Management & Applications (SKIMA), IEEE, Chengdu, PEOPLES R CHINA, pp. 215-219.
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Kuppili Venkata, S, Keppens, J & Musial, K 1970, 'Agent Based Simulation to Evaluate Adaptive Caching in Distributed Databases', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer International Publishing, pp. 455-462.
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Caching frequently used data is a common practice to improve query performance in database systems. But traditional algorithms used for cache management prove to be insufficient in distributed environment where groups of users require similar or related data from multiple databases. Repeated data transfers can become a bottleneck leading to long query response time and high resource utilization. Our work focuses on adaptive algorithms to decide on optimal grain of data to be cached and cache refreshment techniques to reduce data transfers. In this paper, we present agent based simulation to investigate and in consequence improve cache management in the distributed database environment. Dynamic grain size and decisions on cache refreshment are made as a result of coordination and interaction between agents. Initial results show better response time and higher data availability compared to traditional caching techniques.
Kuruneru, STW, Sauret, E, Saha, SC & Gu, YT 1970, 'Numerical assessment of wake dynamics and vortex shedding behind an array of equilateral triangular cylinders', Proceedings of the 20th Australasian Fluid Mechanics Conference, AFMC 2016.
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A numerical model is employed to examine the wake dynamics behind two equilateral triangular cylinders. Two different configurations are considered—two tandem triangular cylinders and two side-by-side triangular cylinders. A line integral convolution visualization technique is used to study the shed vortices. Results show that the wake topology between the gaps of triangles is dependent on the Reynolds number and centre-to-centre distance. Additionally, correlations between the Reynolds number and Strouhal number at various centre-to-centre distances are obtained.
Kuruneru, STW, Sauret, E, Saha, SC & Gu, YT 1970, 'Unresolved CFD-DEM of sandstone-laden air flow in a clear channel', Proceedings of the 20th Australasian Fluid Mechanics Conference, AFMC 2016.
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An unresolved finite-volume and discrete-element method that is able to capture the interaction between the lagrangian particles and carrier fluid in a clear channel is investigated. A hybrid SIMPLE-PISO algorithm is used to achieve pressure-velocity coupling whilst concurrently achieving stable and faster numerical convergence. Although the unresolved method is applicable if the CFD mesh cell size is larger than DEM particle size, this preliminary study shows that the unresolved method produces similar results in the event the particle diameter vastly exceeds the mesh cell size. Quantitative analysis shows near identical results among all four CFD grids tested. The gas void fraction exchange fields becomes smooth as the CFD mesh cell size exceeds the DEM particle size. Good agreement is observed between the analytical and numerical pressure drop profiles.
Kuruneru, STW, Sauret, E, Saha, SC & Gu, YT 1970, 'Unresolved CFD-DEM of sandstone-laden air flow in a clear channel', Proceedings of the 20th Australasian Fluid Mechanics Conference, AFMC 2016.
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© 2006 Australasian Fluid Mechanics Society. All rights reserved. An unresolved finite-volume and discrete-element method that is able to capture the interaction between the lagrangian particles and carrier fluid in a clear channel is investigated. A hybrid SIMPLE-PISO algorithm is used to achieve pressure-velocity coupling whilst concurrently achieving stable and faster numerical convergence. Although the unresolved method is applicable if the CFD mesh cell size is larger than DEM particle size, this preliminary study shows that the unresolved method produces similar results in the event the particle diameter vastly exceeds the mesh cell size. Quantitative analysis shows near identical results among all four CFD grids tested. The gas void fraction exchange fields becomes smooth as the CFD mesh cell size exceeds the DEM particle size. Good agreement is observed between the analytical and numerical pressure drop profiles.
Kutay, C 1970, 'Supporting Language Teaching Online', Proceedings of CCURL Collaboration and Computing for Under-Resourced Languages, Language Resources and Evaluation Conference, Portorož (Slovenia).
Kuznecova, T & Voinov, AA 1970, 'A conceptual framework for an agricultural agent-based model with a two-level social component: Modeling farmer groups', Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016, pp. 1045-1053.
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In the last decade, collective actions within smallholder groups and cooperatives have been promoted by various development programs and projects. However, to develop appropriate programs and policies aimed at supporting cooperation among farmers, an approach may be required able to reflect the dynamics of an agricultural system resulting from decision-making and interactions between elements at different levels and scales. In this study, we are focusing on the groups of smallholders organizing for collective crop production and/or marketing. Our aim is to provide an approach and a tool to gain a deeper insight in how cooperative groups emerge and perform under different conditions and objective functions. An agent-based model will be built as a core of such a tool. The main difference from existing agricultural models is that we consider at least two levels of social agents and corresponding decision-making categories - individual and collective. The collective level refers to a dynamic cooperative group or network emerging as a higher level agent from the individual agents. Moreover, we are seeking for the trade-offs between simplicity and more realistic representation of social agent behavior, compared to purely rational economic optimization approach. We start with a conceptual model to represent the system of interest. More specifically, in this model we: i) identify system components and interactions between them at different levels; ii) explore applicability of the heuristics-based approaches, such as Consumat (Jager, 2000), for individual decision-making and agent's transition to collective actions, when enriched with various socio-economic, spatial and environmental influencing factors; iii) explore ways to represent collective activities and decision-making in groups. The conceptual model, further combined with a land use/land cover and crop productivity framework, will be used as a prototype implementation to study emergence and performance of farmer g...
Kynast, M & Marjanovic, O 1970, 'Big Data in Supply Chain Management - Applications, Challenges and Benefits.', AMCIS, 22nd Americas Conference on Information Systems (AMCIS), Association for Information Systems, San Diego, CA.
Lai, L, Qin, L, Lin, X, Zhang, Y & Chang, L 1970, 'Scalable Distributed Subgraph Enumeration.', Proc. VLDB Endow., International Conference on Very Large Databases, VLDB Endowment, Munich, Germany, pp. 217-228.
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© 2016. VLDB Endowment. Subgraph enumeration aims to find all the subgraphs of a large data graph that are isomorphic to a given pattern graph. As the subgraph isomorphism operation is computationally intensive, researchers have recently focused on solving this problem in distributed environments, such as MapReduce and Pregel. Among them, the state-of-the-art algorithm, Twin Twig Join, is proven to be instance optimal based on a left-deep join framework. However, it is still not scalable to large graphs because of the constraints in the left-deep join framework and that each decomposed component (join unit) must be a star. In this paper, we propose SEED - a scalable subgraph enumeration approach in the distributed environment. Compared to Twin Twig Join, SEED returns optimal solution in a generalized join framework without the constraints in Twin Twig Join. We use both star and clique as the join units, and design an effective distributed graph storage mechanism to support such an extension. We develop a comprehensive cost model, that estimates the number of matches of any given pattern graph by considering powerlaw degree distribution in the data graph. We then generalize the left-deep join framework and develop a dynamic-programming algorithm to compute an optimal bushy join plan. We also consider overlaps among the join units. Finally, we propose clique compression to further improve the algorithm by reducing the number of the intermediate results. Extensive performance studies are conducted on several real graphs, one containing billions of edges. The results demonstrate that our algorithm outperforms all other state-of-the-art algorithms by more than one order of magnitude.
Lalbakhsh, A, Afzal, MU & Esselle, K 1970, 'Simulation-driven particle swarm optimization of spatial phase shifters', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, AUSTRALIA, pp. 428-430.
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Lalbakhsh, A, Afzal, MU, Esselle, KP & Zeb, BA 1970, 'Multi-objective particle swarm optimization for the realization of a low profile bandpass frequency selective surface', 2015 International Symposium on Antennas and Propagation, ISAP 2015, International Symposium on Antennas and Propagation (ISAP), IEEE, Hobart, AUSTRALIA.
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This paper presents a new application of evolutionary optimization algorithm to design an extremely low profile bandpass frequency selective surface (FSS). A particle swarm optimization algorithm is interfaced with a commercial time-domain solver to design and optimize a second-order bandpass FSS at 10 GHz with 20% fractional bandwidth. Four structure variables are defined in the algorithm to be optimized for realization of a grid of capacitive patches and inductive strips, which constitute the bandpass FSS. Optimization led to a FSS with a total thickness of λo/65.
Lalbakhsh, A, Afzal, MU, Zeb, BA & Esselle, KP 1970, 'Design of a dielectric phase-correcting structure for an EBG resonator antenna using particle swarm optimization', 2015 International Symposium on Antennas and Propagation, ISAP 2015, International Symposium on Antennas and Propagation (ISAP), IEEE, Hobart, AUSTRALIA.
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This paper presents a novel method to design an all-dielectric phase correcting structure (PCS) to improve phase uniformity on the aperture of a classical electromagnetic band gap resonator antenna (ERA). This PCS has fixed permittivity, but varying thickness in a plane perpendicular to the dominant radiated E-field component. A particle swarm optimization (PSO) algorithm and a commercial time-domain solver are combined to optimize the PCS thickness. The proposed PCS not only significantly reduces the phase non-uniformity, but also improves the broadside directivity of the ERA by 4.6 dBi.
Lanese, I & Devitt, S 1970, 'Preface', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
Le, NT & Hoang, DB 1970, 'Can maturity models support cyber security?', 2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC), 2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC), IEEE, Las Vegas, USA, pp. 1-7.
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We are living in a cyber space with an unprecedented rapid expansion of the space and its elements. All interactive information is processed and exchanged via this space. Clearly a well-built cyber security is vital to ensure the security of the cyber space. However the definitions and scopes of both cyber space and cyber security are still not well-defined and this makes it difficult to establish sound security models and mechanisms for protecting this space. Out of existing models, maturity models offer a manageable approach for assessing the security level of a system or organization. The paper first provides a review of various definitions of cyber space and cyber security in order to ascertain a common understanding of the space and its security. The paper investigates existing security maturity models, focusing on their defining characteristics and identifying their strengths and weaknesses. Finally, the paper discusses and suggests measures for a sound and applicable cyber security model
Lei, G, Zhu, J, Liu, C & Ma, B 1970, 'Robust design optimization of electrical machines and drive systems for high quality mass production', 2016 6th International Electric Drives Production Conference (EDPC), 2016 6th International Electric Drives Production Conference (EDPC), IEEE, Nuremberg, Germany, pp. 217-223.
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© 2016 IEEE. Electrical drive is the heart in many modern appliances, as well as industry equipment and systems. In order to achieve the best design objectives, such as high performance and low material cost, various deterministic optimization methods have been developed for optimal design of electrical machines, power electronic converters, and parameters of control algorithms. On the other hand, the final quality of a motor drive system in mass production depends highly on the manufacturing technology employed and can be greatly affected by essential manufacturing tolerances and unavoidable uncertainties due to material diversity, machining error, and assembling inaccuracy, etc. An aggressively optimized design may be difficult to mass produce and end up with high manufacturing cost and/or high rejection rates. To solve this challenge, a robust design technique called design for six-sigma has been introduced to improve the manufacturing quality of both electrical machines and drive systems based on the multi-disciplinary, multi-level and multi-objective optimization methods. This work aims to show the development of these methods and their applications.
Lenkenhoff, K, Barthelmey, A, Lemmerz, K, Kuhlenkötter, B & Deuse, J 1970, 'Communication Architecture for Automatic Plant Documentation Updates', Procedia CIRP, Elsevier BV, pp. 365-370.
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© 2016 The Authors. Today's exible demands and short product life cycles have lead to a modular thinking for machinery and plant engineering. A hidden challenge for this sector is the maintenance of plant documentation throughout the entire operating time of the machine components. This paper introduces an architecture for updating plant documentation. The concept is based on a exible masterslave hierarchy for IT-integrated machine components and aims at detecting physical changes in them. The standard data exchange format AutomationML functions as a decentralized and up-to-date virtual representation of each component carrying all types and contents of both construction and documentation disciplines.
Leveaux, R 1970, 'Examining the Perceptions of Information Technology in an Elite Sporting Organization', INNOVATION MANAGEMENT AND EDUCATION EXCELLENCE VISION 2020: FROM REGIONAL DEVELOPMENT SUSTAINABILITY TO GLOBAL ECONOMIC GROWTH, VOLS I - VI, International Business Information Management, INT BUSINESS INFORMATION MANAGEMENT ASSOC-IBIMA, Milan, Italy, pp. 2939-2951.
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In recent years, technology has enabled sporting organisations to become innovators in the global sports arena. Elite sporting teams and bodies are becoming increasingly dependant on technology for daily operations and subsequently these organisations are more and more reliant on technological developments in sport. Player training and management technologies and team performance tools have given sporting organizations the avenues to become more competitive. Organizations invest in information technology for many reasons, for example cutting costs, increase in production and services without increasing costs, improving the quality of services or products and sporting organizations and bodies are no different in looking to technology to gain competitive edges as well as improvement of athlete preparation. However, in spite of these innovations and the potential to gain competitive edges, some seem to struggle with technology resulting in an ambiguous and sometimes negative perceptions of IT services. This work examines the building of credibility in sporting organizations through education and the development of positive perceptions of information technology. The findings provide a basis for further studies and possible trials of differing education formats in technology to further develop both the positive acceptance of sports related technologies and assist in improving the sporting organization’s environment
Leveaux, R, Sixsmith, A & Gallagher, S 1970, 'Creating a situated learning environment in the classroom for final year IT students', Proceedings of the 28th International Business Information Management Association Conference - Vision 2020: Innovation Management, Development Sustainability, and Competitive Economic Growth, International Business Information Management, INT BUSINESS INFORMATION MANAGEMENT ASSOC-IBIMA, Seville, Spain, pp. 4540-4552.
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This paper reports on the efforts made to enhance the engagement of students in a final year undergraduate IT subject. Through the use of situated and scenario based learning, students undertake collaborative groupwork to produce industry-like outputs. Results from a series of student satisfaction surveys are discussed in relation to the subject from the aspects of situated learning and collaborative groupwork. The results, while limited to IT students, show that in general, student perceived the learning experience to be valuable through its alignment with industry practice. We also present reflections on engaging student with situated learning and collaboration from the perspective of a Subject Coordinator trying to improve graduate work-readiness within the existing curriculum.
Lewis, K, Basaglia, B, Shrestha, R & Crews, K 1970, 'The use of cross laminated timber for Long span flooring in commercial buildings', WCTE 2016 - World Conference on Timber Engineering.
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Long span timber floor solutions have demonstrated their potential to compete with concrete and steel construction for multi-storey commercial buildings. Due to the high strength-to-weight ratio of timber, serviceable vibration performance is a critical structural design issue for long spans. This project investigates the vibration performance of cross laminated timber for long span floors in the Australian and New Zealand building sector. Laboratory experiments and computer analysis are used to study the effect of the increased transverse stiffness, inherent to a cross laminated timber, on the vibration performance of the floor. The effect of boundary conditions, connection and support type, are investigated and quantified where possible. A timber joist floor with a plywood sheath is analysed and tested to validate the methods used in this study.
Li, H, Huang, X & Guo, YJ 1970, 'Improved quality-based channel state feedback scheme in multicast systems with greedy scheduling', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Qingdao, China, pp. 73-76.
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© 2016 IEEE. This paper proposes an Improved Quality-Based Channel State Feedback (IQCF) scheme in multicast systems with greedy scheduling for multiple multicast groups. The proposed scheme outperforms the Quality-Based Channel State Feedback (QCF) scheme in the literature by selecting a scheduling outage group for data transmission when scheduling outage happens. We also analyze its performance in terms of average capacity and outage probability, and present a closed-form system average capacity expression over Rayleigh fading channels. The numerically evaluated analytical results are verified by simulations.
Li, J, Masia, MJ & Stewart, MG 1970, 'Stochastic spatial modelling of material properties and structural strength of unreinforced masonry in two-way bending', Brick and Block Masonry: Trends, Innovations and Challenges - Proceedings of the 16th International Brick and Block Masonry Conference, IBMAC 2016, CRC Press, pp. 217-226.
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The paper describes the development of a computational method to predict the strength for non-load bearing unreinforced masonry (URM) walls subject to two-way bending considering unit-tounit spatial variability of the material properties of mortar joints and bricks. The study involves conducting numerical simulation of full sized walls subject to two-way bending using stochastic analysis in the form of Monte Carlo simulations and comparing the results with experimental work. A 3-D nonlinear Finite Element Analysis (FEA) is used to study how the spatial variability of material properties affects the wall failure progression. The numerical results are compared to literature experimental results in terms of the wall failure progression and wall capacity. It is shown that the model which considers the spatial variability of brickwork can capture the failure patterns and predict the cracking and ultimate loads for walls with two-way bending.
Li, J, Wu, C & Hao, H 1970, 'Experimental and numerical study of a new composite slab under blast loads', 4th International Conference on Protective Structures, Tianjin Chengjian University & Tianjin University, China, Beijing.
Li, J, Wu, C & Hao, H 1970, 'Spallation of reinforced concrete slabs under contact explosion', 2016 Second Asian Conference on Defence Technology (ACDT), 2016 Second Asian Conference on Defence Technology (ACDT), IEEE, Changmai, Thailand, pp. 42-45.
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© 2016 IEEE. Structures and their occupants are imposed to great threat under blast loading environment. The current design and research practices mainly focus on structural responses and damages under far field or close-in detonations. The blast scenarios involving contact explosions are not extensively investigated. Under contact explosions, highly localized damage caused by severe stress wave propagation is commonly seen, and this damage mode is significantly different from other dynamic loading types in which structural members usually respond in flexural or shear mode. In recent decades, the necessity of gaining in-depth knowledge about this extreme loading event is highlighted as threat from terrorism activities is rising. In the present study, contact test results on reinforced concrete members are presented. Performances of slabs made of normal strength concrete and steel wire mesh reinforced concrete are compared and discussed.
Li, L, Ni, W, Ma, X, Yang, Z, Meng, X & Shen, F 1970, 'A study on computation optimization method for three-dimension scene light field radiation simulation in visible light band', SPIE Proceedings, SPIE Remote Sensing, SPIE.
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Li, Q, Qiao, M, Bian, W & Tao, D 1970, 'Conditional Graphical Lasso for Multi-label Image Classification', 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Las Vegas, Nevada, United States, pp. 2977-2986.
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© 2016 IEEE. Multi-label image classification aims to predict multiple labels for a single image which contains diverse content. By utilizing label correlations, various techniques have been developed to improve classification performance. However, current existing methods either neglect image features when exploiting label correlations or lack the ability to learn image-dependent conditional label structures. In this paper, we develop conditional graphical Lasso (CGL) to handle these challenges. CGL provides a unified Bayesian framework for structure and parameter learning conditioned on image features. We formulate the multi-label prediction as CGL inference problem, which is solved by a mean field variational approach. Meanwhile, CGL learning is efficient due to a tailored proximal gradient procedure by applying the maximum a posterior (MAP) methodology. CGL performs competitively for multi-label image classification on benchmark datasets MULAN scene, PASCAL VOC 2007 and PASCAL VOC 2012, compared with the state-of-the-art multi-label classification algorithms.
Li, R-H, Qin, L, Yu, JX & Mao, R 1970, 'Efficient and Progressive Group Steiner Tree Search.', SIGMOD Conference, ACM Special Interest Group on Management of Data Conference, ACM, San Francisco, California, United States, pp. 91-106.
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© 2016 ACM.The Group Steiner Tree (GST) problem is a fundamental problem in database area that has been successfully applied to keyword search in relational databases and team search in social networks. The state-of-the-art algorithm for the GST problem is a parameterized dynamic programming (DP) algorithm, which finds the optimal tree in O(3κn + 2κ (n log n + m)) time, where κ is the number of given groups, m and n are the number of the edges and nodes of the graph respectively. The major limitations of the parameterized DP algorithm are twofold: (i) it is intractable even for very small values of κ (e.g., κ = 8) in large graphs due to its exponential complexity, and (ii) it cannot generate a solution until the algorithm has completed its entire execution. To overcome these limitations, we propose an efficient and progressive GST algorithm in this paper, called PrunedDP. It is based on newly-developed optimal-tree decomposition and conditional tree merging techniques. The proposed algorithm not only drastically reduces the search space of the parameterized DP algorithm, but it also produces progressively-refined feasible solutions during algorithm execution. To further speed up the PrunedDP algorithm, we propose a progressive A∗-search algorithm, based on several carefully-designed lower-bounding techniques. We conduct extensive experiments to evaluate our algorithms on several large scale real-world graphs. The results show that our best algorithm is not only able to generate progressively-refined feasible solutions, but it also finds the optimal solution with at least two orders of magnitude acceleration over the state-of-the-art algorithm, using much less memory.
Li, S, Fei, F, Ruihan, D, Yu, S & Dou, W 1970, 'A Dynamic Pricing Method for Carpooling Service Based on Coalitional Game Analysis', 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), IEEE, pp. 78-85.
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© 2016 IEEE. In recent years, carpooling service provided by corporations like Uber (UberPool), Didi (DidiPool) and Lyft (Lift Link) have become more and more popular. It helps alleviating the urban traffic congestion, by decreasing the empty seats rate. To balance the supply and demand of the taxi service, a dynamic pricing method is needed. More specifically, passengers taking a same vehicle may be charged differently, even thought they shared a most part of a trip. It often challenges the current dynamic pricing policy that how to balance the service and the pricing among different passengers who shared a certain route in their personal trip. In view of this challenge, we propose a new dynamic pricing method and divide the payoff according to the contribution of each passenger. Concretely, we deploy the framework of coalitional game to analyze spatial temporal constraints that guarantee individual benefits from the carpooling coalition. Then, we explore the Nash Product to maximize the utility of passengers as a whole and reduce our problem into a geometry-programming problem. At last we use Shapley value method to measure the specific contribution of each passenger. We conduct a simulated experiment and the results show effectiveness of our method.
Li, X, Xiong, J, Liu, B, Gui, L & Qiu, M 1970, 'A capacity improving and energy saving scheduling scheme in push-based converged wireless broadcasting and cellular networks', 2016 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2016 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), IEEE.
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© 2016 IEEE. This paper proposes a capacity improving and energy saving scheduling scheme in push-based Converged Wireless Broadcasting and Cellular Network (CWBCN). We maximize the network capacity and alleviate request congestion through broadcasting/multi-casting the most popular services, and locally caching for further request on the user side. In the proposed scheme, we firstly introduce a UE (User Equipment)-based caching mechanism by considering both the frequency and recency of the popular services. Simulations show that the proposed mechanism brings a significant improvement on the capacity of the CWBCN. Based on the mechanism, a sleep-awake algorithm is proposed to further reduce the energy consumption of the UEs. Simulations show that with the proposed algorithm for the converged network can reduce 20%-30% energy consumption by comparing to the traditional one.
Li, Y, Yang, Z, Ma, X & Ni, W 1970, 'Modeling the coupling effect of jitter and attitude control on TDICCD camera imaging', SPIE Proceedings, SPIE Remote Sensing, SPIE.
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Li, Z, Qin, L, Cheng, H, Zhang, X & Zhou, X 1970, 'TRIP: An interactive retrieving-inferring data imputation approach.', ICDE, 32nd IEEE International Conference on Data Engineering (ICDE), IEEE Computer Society, Helsinki, FINLAND, pp. 1462-1463.
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© 2016 IEEE. Data imputation aims at filling in missing attribute values in databases. Existing imputation approaches to nonquantitive string data can be roughly put into two categories: (1) inferring-based approaches [2], and (2) retrieving-based approaches [1]. Specifically, the inferring-based approaches find substitutes or estimations for the missing ones from the complete part of the data set. However, they typically fall short in filling in unique missing attribute values which do not exist in the complete part of the data set [1]. The retrieving-based approaches resort to external resources for help by formulating proper web search queries to retrieve web pages containing the missing values from the Web, and then extracting the missing values from the retrieved web pages [1]. This webbased retrieving approach reaches a high imputation precision and recall, but on the other hand, issues a large number of web search queries, which brings a large overhead [1].
Lin, P, Zhang, B, Guo, T, Wang, Y & Chen, F 1970, 'Infinite Hidden Semi-Markov modulated interaction point process', Advances in Neural Information Processing Systems, pp. 3907-3915.
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The correlation between events is ubiquitous and important for temporal events modelling. In many cases, the correlation exists between not only events' emitted observations, but also their arrival times. State space models (e.g., hidden Markov model) and stochastic interaction point process models (e.g., Hawkes process) have been studied extensively yet separately for the two types of correlations in the past. In this paper, we propose a Bayesian nonparametric approach that considers both types of correlations via unifying and generalizing the hidden semi-Markov model and interaction point process model. The proposed approach can simultaneously model both the observations and arrival times of temporal events, and automatically determine the number of latent states from data. A Metropolis-within-particle-Gibbs sampler with ancestor resampling is developed for efficient posterior inference. The approach is tested on both synthetic and real-world data with promising outcomes.
Lin, P, Zhang, B, Guo, T, Wang, Y & Chen, F 1970, 'Interaction point processes via infinite branching model', 30th AAAI Conference on Artificial Intelligence, AAAI 2016, 30th Association-for-the-Advancement-of-Artificial-Intelligence (AAAI) Conference on Artificial Intelligence, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, Phoenix, AZ, pp. 1853-1859.
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Many natural and social phenomena can be modeled by interaction point processes (IPPs) (Diggle et al. 1994), stochastic point processes considering the interaction between points. In this paper, we propose the infinite branching model (IBM), a Bayesian statistical model that can generalize and extend some popular IPPs, e.g., Hawkes process (Hawkes 1971; Hawkes and Oakes 1974). It treats IPP as a mixture of basis point processes with the aid of a distance dependent prior over branching structure that describes the relationship between points. The IBM can estimate point event intensity, interaction mechanism and branching structure simultaneously. A generic Metropolis-within-Gibbs sampling method is also developed for model parameter inference. The experiments on synthetic and real-world data demonstrate the superiority of the IBM.
Lin, Z, Wang, L, Dutkiewicz, E & Huang, X 1970, 'Performance Analysis of Chaotic Sampling and Detection in CS-DCSK UWB System', 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), IEEE, Nanjing, China, pp. 1-5.
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© 2016 IEEE. Compressed sensing based noncoherent UWB systems have been proved to be feasible with a sub-Nyquist sampling rate. As a kind of noncoherent UWB systems, code-shifted differential chaos shift keying (CS- DCSK) UWB system has drawn much attention recently. However, its receiver cannot directly be combined with compressed sensing to reduce the sampling rate. With this motivation, in this paper, we redesign the receiver of the CS-DCSK UWB system and further design two compressed sensing based receivers where the measurement matrix is redesigned. Bit error rate (BER) expression is derived over UWB channel. It is shown that the simulation results are in good agreement with the theoretical ones.
Lister, R 1970, 'Toward a Developmental Epistemology of Computer Programming', Proceedings of the 11th Workshop in Primary and Secondary Computing Education, WiPSCE '16: 11th Workshop in Primary and Secondary Computing Education, ACM, Münster, Germany.
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This paper was written as a companion to my keynote address at the 11th Workshop in Primary and Secondary Computing Education (WiPSCE 2016). The paper outlines my own research on how novices learn to program. Any reader whose interest has been piqued may pursue furher detail in the papers cited. I begin by explaining my philosophical position. In making that explanation, I do not claim that it is the only right position; on the contrary I allude to other philosophical positions that I regard as complimentary to my own. The academic warfare between these positions is pointless and counterproductive --- all the established positions have something positive to offer. Having established my position, I then go on to argue that the work of Jean Piaget, and subsequent neo-Piagetians, offers useful insight into how children learn to program computers.
Liu, A, Zhang, G, Lu, J, Lu, N & Lin, C-T 1970, 'An Online Competence-Based Concept Drift Detection Algorithm', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Australasian Joint Conference on Artificial Intelligence, Springer International Publishing, Hobart, TAS, Australia, pp. 416-428.
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© Springer International Publishing AG 2016. The ability to adapt to new learning environments is a vital feature of contemporary case-based reasoning system. It is imperative that decision makers know when and how to discard outdated cases and apply new cases to perform smart maintenance operations. Competencebased empirical distance has been recently proposed as a measurement that can estimate the difference between case sample sets without knowing the actual case distributions. It is reportedly one of the most accurate drift detection algorithms in both synthetic and real-world data sets. However, as the construction of competence models have to retain every case in memory, it is not suitable for online drift detection. In addition, the high computational complexity O(n2) also limits its practical application, especially when dealing with large scale data sets with time constrains. In this paper, therefore, we propose a space-based online case grouping strategy, and a new case group enhanced competence distance (CGCD), to address these issues. The experiment results show that the proposed strategy and related algorithms significantly improve the efficiency of the current leading competence-based drift detection algorithm.
Liu, B, Zhou, W, Jiang, J & Wang, K 1970, 'K-Source: Multiple source selection for traffic offloading in mobile social networks', 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP), 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP), IEEE, Yangzhou, PEOPLES R CHINA.
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Liu, C & Chen, L 1970, 'Summarizing uncertain transaction databases by Probabilistic Tiles', 2016 International Joint Conference on Neural Networks (IJCNN), 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, Vancouver, pp. 4375-4382.
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© 2016 IEEE. Transaction data mining is ubiquitous in various domains and has been researched extensively. In recent years, observing that uncertainty is inherent in many real world applications, uncertain data mining has attracted much research attention. Among the research problems, summarization is important because it produces concise and informative results, which facilitates further analysis. However, there are few works exploring how to effectively summarize uncertain transaction data. In this paper, we formulate the problem of summarizing uncertain transaction data as Minimal Probabilistic Tile Cover Mining, which aims to find a high-quality probabilistic tile set covering an uncertain database with minimal cost. We define the concept of Probabilistic Price and Probabilistic Price Order to evaluate and compare the quality of tiles, and propose a framework to discover the minimal probabilistic tile cover. The bottleneck is to check whether a tile is better than another according to the Probabilistic Price Order, which involves the computation of a joint probability. We prove that it can be decomposed into independent terms and calculated efficiently. Several optimization techniques are devised to further improve the performance. Experimental results on real world datasets demonstrate the conciseness of the produced tiles and the effectiveness and efficiency of our approach.
Liu, DYT, Richards, D, Dawson, P, Froissard, J-C & Atif, A 1970, 'Knowledge Acquisition for Learning Analytics: Comparing Teacher-Derived, Algorithm-Derived, and Hybrid Models in the Moodle Engagement Analytics Plugin', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer International Publishing, pp. 183-197.
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© Springer International Publishing Switzerland 2016. One of the promises of big data in higher education (learning analytics) is being able to accurately identify and assist students who may not be engaging as expected. These expectations, distilled into parameters for learning analytics tools, can be determined by human teacher experts or by algorithms themselves. However, there has been little work done to compare the power of knowledge models acquired from teachers and from algorithms. In the context of an open source learning analytics tool, the Moodle Engagement Analytics Plugin, we examined the ability of teacher-derived models to accurately predict student engagement and performance, compared to models derived from algorithms, as well as hybrid models. Our preliminary findings, reported here, provided evidence for the fallibility and strength of teacher-and algorithm-derived models, respectively, and highlighted the benefits of a hybrid approach to model-and knowledge-generation for learning analytics. A human in the loop solution is therefore suggested as a possible optimal approach.
Liu, J, Rahman, MS, Lu, J & Hossain, MJ 1970, 'Performance investigation of hybrid AC/DC microgrids during mode transitions', 2016 Australasian Universities Power Engineering Conference (AUPEC), 2016 Australasian Universities Power Engineering Conference (AUPEC), IEEE.
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Liu, J, Rahman, MS, Lu, J & Hossain, MJ 1970, 'Performance investigation of hybrid ACIDC microgrids during mode transitions', Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016, Australasian Universities Power Engineering Conference (AUPEC), IEEE, Brisbane, AUSTRALIA.
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The hybrid AC/DC microgrid is getting popular in different countries including Australia as it could enhance energy efficiency and system's reliability. This paper investigates the dynamic performance of a hybrid ACmC microgrid during transition from grid-tied mode to isolated mode and vice versa. As the droop control method allows the system to operate under both grid-connected mode and islanded mode, it is adopted as the main inverter control strategy for observing the system's performance during mode switching. Different characteristics of distribution energy resources (DERs) make it complicated to share power between the DC subgrid and the AC subgrid during islanded mode. Therefore, this paper investigates the performance of a hybrid microgrid under different scenarios which contains various DER combinations. DER units such as PV modules, wind turbines, battery energy storage systems (BESSs), and micro-turbines are utilized for building systems with different structures. Different case studies are carried out in MATLAB/SIMULINK environment based on a real microgrid system which is built in Griffith University Nathan campus for demonstrations. Simulation results show that the microgrid system could perform well and ensure smooth transition with the proposed control strategy described in this paper. Through the comparisons of different scenarios, it can be seen that system which include BESS could show better performance during mode transition. When micro-turbine involves in power supply, fluctuations in AC voltage and power supply can be optimized.
Liu, Q, Li, J, Wong, L & Ramamohanarao, K 1970, 'Efficient Mining of Pan-Correlation Patterns from Time Course Data', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Advanced Data Mining and Applications, Springer International Publishing, Gold Coast, Queensland, Australia, pp. 234-249.
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© Springer International Publishing AG 2016.There are different types of correlation patterns between the variables of a time course data set, such as positive correlations, negative correlations, time-lagged correlations, and those correlations containing small interrupted gaps. Usually, these correlations are maintained only on a subset of time points rather than on the whole span of the time points which are traditionally required for correlation definition. As these types of patterns underline different trends of data movement, mining all of them is an important step to gain a broad insight into the dependencies of the variables. In this work, we prove that these diverse types of correlation patterns can be all represented by a generalized form of positive correlation patterns. We also prove a correspondence between positive correlation patterns and sequential patterns. We then present an efficient single-scan algorithm for mining all of these types of correlations. This “pan-correlation” mining algorithm is evaluated on synthetic time course data sets, as well as on yeast cell cycle gene expression data sets. The results indicate that: (i) our mining algorithm has linear time increment in terms of increasing number of variables; (ii) negative correlation patterns are abundant in real-world data sets; and (iii) correlation patterns with time lags and gaps are also abundant. Existing methods have only discovered incomplete forms of many of these patterns, and have missed some important patterns completely.
Liu, RP, Zhang, J & Guo, Y 1970, 'Resilient UAV Mesh Networks for Military Operations', Future Landforce Conference, Future Landforce Conference, Adelaide, Australia.
Liu, W, Chen, X, Yang, J & Wu, Q 1970, 'Robust weighted least squares for guided depth upsampling', 2016 IEEE International Conference on Image Processing (ICIP), 2016 IEEE International Conference on Image Processing (ICIP), IEEE, Phoenix, AZ, USA, pp. 559-563.
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© 2016 IEEE. In this paper, we propose a new guided depth upsampling method denoted as Robust Weighted Least Squares (RWLS). Our work is inspired by the connection between the Weighted Least Squares (WLS) and the Auto Regressive (AR) model. By adopting a new robust penalty function to model the smoothness of the proposed model, we show that the proposed method performs much better in preserving sharp depth discontinuities than previous work. Through both mathematical analysis and experimental results, we show that our method has promising performance on handling the inconsistency between the guidance image and the depth map in both preserving sharp depth discontinuities and suppressing the texture copy artifacts.
Liu, Y, Huang, ML, Liang, J & Huang, W 1970, 'Facial Feature Extraction and Recognition for Traditional Chinese Physiognomy', 2016 20th International Conference Information Visualisation (IV), 2016 20th International Conference Information Visualisation (IV), IEEE, Lisbon, Portugal, pp. 408-412.
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© 2016 IEEE. We propose a novel calculation method of personality based on the Chinese physiognomy. The proposed solution combines the ancient and the modem physiognomy to summarize the corresponding relation between the personality and facial feature and model the baseline to shape the face feature. We compute histogram of image by searching for the threshold values to create a binary image in an adaptive way. The two-pass connected component method indicates the feature region. We encode the binary image to remove the noise point, so that the new connected image can provide a better result. The method was tested on ORL face database.
Liu, Y-T, Pal, NR, Wu, S-L, Hsieh, T-Y & Lin, C-T 1970, 'Adaptive subspace sampling for class imbalance processing', 2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy), 2016 International Conference on Fuzzy Theory and Its Applications (iFuzzy), IEEE, Taichung, Taiwan, pp. 1-5.
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© 2016 IEEE. This paper presents a novel oversampling technique that addresses highly imbalanced data distribution. At present, the imbalanced data that have anomalous class distribution and underrepresented data are difficult to deal with through a variety of conventional machine learning technologies. In order to balance class distributions, an adaptive subspace self-organizing map (ASSOM) that combines the local mapping scheme and globally competitive rule is proposed to artificially generate synthetic samples focusing on minority class samples. The ASSOM is conformed with feature-invariant characteristics, including translation, scaling and rotation, and it retains the independence of basis vectors in each module. Specifically, basis vectors generated via each ASSOM module can avoid generating repeated representative features that offer nothing but heavy computational load. Several experimental results demonstrate that the proposed ASSOM method with supervised learning manner is superior to other existing oversampling techniques.
Liu, Y-T, Wu, S-L, Kuang-Pen Chou, Lin, Y-Y, Jie Lu, Guangquan Zhang, Wen-Chieh Lin & Lin, C-T 1970, 'Driving fatigue prediction with pre-event electroencephalography (EEG) via a recurrent fuzzy neural network', 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Vancouver, Canada, pp. 2488-2494.
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© 2016 IEEE. We propose an electroencephalography (EEG) prediction system based on a recurrent fuzzy neural network (RFNN) architecture to assess drivers' fatigue degrees during a virtual-reality (VR) dynamic driving environment. Prediction of fatigue degrees is a crucial and arduous biomedical issue for driving safety, which has attracted growing attention of the research community in the recent past. Meanwhile, combined with the benefits of measuring EEG signals facilitates, many EEG-based brain-computer interfaces (BCIs) have been developed for use in real-Time mental assessment. In the literature, EEG signals are severely blended with stochastic noise; therefore, the performance of BCIs is constrained by low resolution in recognition tasks. For this rationale, independent component analysis (ICA) is usually used to find a source mapping from original data that has been blended with unrelated artificial noise. However, the mechanism of ICA cannot be used in real-Time BCI design. To overcome this bottleneck, the proposed system in this paper utilizes a recurrent self-evolving fuzzy neural work (RSEFNN) to increase memory capability for adaptive noise cancellation when assessing drivers' mental states during a car driving task. The experimental results without the use of ICA procedure indicate that the proposed RSEFNN model remains superior performance compared with the state-of-Thearts models.
LU, H, ZHANG, K, XIAO, L & WANG, C 1970, 'A HYBRID MODEL FOR SHORT-TERM WIND SPEED FORECASTING BASED ON NON-POSITIVE CONSTRAINT COMBINATION THEORY', Uncertainty Modelling in Knowledge Engineering and Decision Making, Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016), WORLD SCIENTIFIC, Roubaix, France, pp. 240-245.
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© 2016 by World Scientific Publishing Co. Pte. Ltd. Short-term wind speed forecasting plays an irreplaceable role in efficient management of wind energy systems and accurate forecasting results could provide effective future plans for operators of utilities and wind energy systems. Aiming at improving the accuracy of short-term wind forecasting, this paper presents a new forecasting model based on the non-positive constraint combination theory. In this model, a modified optimization algorithm is used to optimize the weight coefficients of the constituent models based on the non-positive constraint combination theory. The combined model is tested using three sets of 10-min wind speed data from real-world wind farms. The testing results show that the forecasting accuracy of new model is significantly better than the constituent models.
Lu, J, Taghizadeh, S, Hossain, MJ & Zhao, X 1970, 'Harmonic balance method used for harmonics calculation and prediction in power systems', 2016 Australasian Universities Power Engineering Conference (AUPEC), 2016 Australasian Universities Power Engineering Conference (AUPEC), IEEE, Brisbane, AUSTRALIA.
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Lumor, T, Chew, E & Gill, AQ 1970, 'Exploring the Role of Enterprise Architecture in IS-enabled Ot: An EA Principles Perspective.', EDOC Workshops, Workshop in conjunction with the IEEE International Enterprise Distributed Object Computing Conference, IEEE Computer Society, Vienna, Austria, pp. 1-6.
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© 2016 IEEE. Although EA principles have received considerable attention in recent years, there is still little known about how EA principles can be used to govern the transformation of the Information Systems enabled organization. In this research-in-progress paper, we communicate our initial step towards answering the sub-question: how do enforcing EA principles contribute to IS-enabled OT? Based on a comprehensive literature review, we initially propose five testable hypotheses and a research model, which is a pre-requisite to developing a data-driven theory for this important area of research. It is anticipated that the ensuing theory will provide a basis for further research studying the impact of EA on IS-enabled OT. The tested research model will also provide guidance to practitioners on how to effectively design and use EA principles in managing transformative changes caused by IS within their organizations and overall industry sectors.
Luo, L, Xie, H, Wei, D, Wang, X, Zhou, C & Jiang, Z 1970, 'A new micro scale FE model of crystalline materials in micro forming process', MATEC Web of Conferences, International Conference on Numerical Methods in Industrial Forming Processes, EDP Sciences, Troyes, France, pp. 02002-02002.
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© The Authors, published by EDP Sciences, 2016. Micro forming of metals has drawn global attention due to the increasing requirement of micro metal products. However, the size effects become significant in micro forming processes and affect the application of finite element (FE) simulation of micro forming processes. Dividing samples into small areas according to their microstructures and assigning individual properties to each small area are a possible access to micro forming simulation considering material size effects. In this study, a new model that includes both grains and their boundaries was developed based on the observed microstructures of samples. The divided subareas in the model have exact shapes and sizes with real crystals on the sample, and each grain and grain boundaries have their own properties. Moreover, two modelling methods using different information from the microstructural images were introduced in detail. The two modelling methods largely increase the availability of various microstructural images. The new model provides accurate results which present the size effects well.
Luo, L, Yu, H, Luo, S, Zhang, M & Yu, S 1970, 'Achieving Fast and Lightweight SDN Updates with Segment Routing', 2016 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2016 - 2016 IEEE Global Communications Conference, IEEE.
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© 2016 IEEE. In SDN, forwarding rules are frequently updated to adapt to network dynamics. During the procedure, path consistency needs to be preserved; otherwise, in-flight packets might meet with forwarding errors such as loops and black holes. Despite a large number of suggestions have been proposed, they take either a long duration or have high rule-space overheads, thus fail to be practical for large-scale high dynamic networks. In this paper, we propose FLUS, a Segment Routing (SR) based mechanism, to achieve fast and lightweight path updates. Basically, when a route needs a change, FLUS instantly employs SR to construct its desired new path by concatenating some fragments of the already existing paths. After the actual paths are established, FLUS then shifts incoming packets to them and disables the transitional ones. Such a design helps packets enjoy their new paths immediately without introducing rule-space overheads. This paper presents FLUS's segment allocation, path construction, and the corresponding optimal algorithms in detail. Our evaluation based on real and synthesized networks shows: FLUS can handle up to 92-100% updates using SR in real-time and save 72-88% rule overhead compared to prior methods.
Luo, M, Nie, F, Chang, X, Yang, Y, Hauptmann, A & Zheng, Q 1970, 'Avoiding optimal mean robust PCA/2DPCA with non-greedy ℓ1-norm maximization', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence, New York City, New York, United States, pp. 1802-1808.
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Robust principal component analysis (PCA) is one of the most important dimension reduction techniques to handle high-dimensional data with outliers. However, the existing robust PCA presupposes that the mean of the data is zero and incorrectly utilizes the Euclidean distance based optimal mean for robust PCA with ℓ1-norm. Some studies consider this issue and integrate the estimation of the optimal mean into the dimension reduction objective, which leads to expensive computation. In this paper, we equivalently reformulate the maximization of variances for robust PCA, such that the optimal projection directions are learned by maximizing the sum of the projected difference between each pair of instances, rather than the difference between each instance and the mean of the data. Based on this reformulation, we propose a novel robust PCA to automatically avoid the calculation of the optimal mean based on ℓ1-norm distance. This strategy also makes the assumption of centered data unnecessary. Additionally, we intuitively extend the proposed robust PCA to its 2D version for image recognition. Efficient non-greedy algorithms are exploited to solve the proposed robust PCA and 2D robust PCA with fast convergence and low computational complexity. Some experimental results on benchmark data sets demonstrate the effectiveness and superiority of the proposed approaches on image reconstruction and recognition.
Lu-Yang Ji, Pei-Yuan Qin, Guo, YJ, Guang Fu & Mittra, R 1970, 'A wideband polarization reconfigurable antenna for WLAN applications', 2016 10th European Conference on Antennas and Propagation (EuCAP), 2016 10th European Conference on Antennas and Propagation (EuCAP), IEEE, Davos, Switzerland.
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© 2016 European Association of Antennas and Propagation.This paper proposes a wideband polarization reconfigurable antenna design for WLAN applications. It consists of a shorted annular patch (SAP) antenna as the source, a partially reflective surface (PRS) structure to enhance the gain, and a reconfigurable Wilkinson power divider as the feed network. The antenna can electronically alter its polarization between linear polarization (LP), left-hand circular polarization (LHCP), and right-hand circular polarization (RHCP),achieving an overlapped 10dB impedance bandwidth and 3 dB axial-ratio bandwidth of 4.68-5.33 GHz (13%), thus outperforming most of the reported polarization reconfigurable antennas in terms of the frequency bandwidth.
Ly Ha, VK, Nguyen, TN & Nguyen, HT 1970, 'Real-time video streaming with multi-camera for a telepresence wheelchair', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE, Phuket, Thailand.
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© 2016 IEEE. This paper presents a new approach for telepresence wheelchairs equipped with multiple cameras. The aim of this system is to provide effective assistance for the elderly and people with disabilities. The work explores the integration of the Internet of Things, such as multimedia, wireless Internet communication, and automation control techniques into a powered wheelchair system. In particular, multiple videos are streamed in real-time from an array of cameras mounted on the wheelchair, allowing wide visualization surrounding the wheelchair. By using video communication and interaction, remote users can assist to navigate a wheelchair via the Internet through wireless connections in a distant location. The experimental results show that video streaming can achieve high-quality video with the streaming rate up to 30 frames per second (fps) in real-time. The average round-trip time is under 27 milliseconds (ms). The results confirmed the effectiveness of the proposed system for tele-monitoring and remote control to achieve safer navigation tasks for wheelchair users.
Ly, QT, Handojoseno, AMA, Gilat, M, Nguyen, N, Chai, R, Tran, Y, Lewis, SJG & Nguyen, HT 1970, 'Detection of Gait Initiation Failure in Parkinson's disease patients using EEG signals', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, USA, pp. 1599-1602.
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© 2016 IEEE. Gait Initiation Failure (GIF) is one of the most disabling gait disturbances seen in advanced Parkinson's disease (PD). Gait Initiation is a complex motor task that requires motor and cognitive processing to enable the correct selection, timing and scaling of movement. Failure to initiate the first step often precipitates falls and leads to significant morbidity. However, the brain mechanisms underlying GIF remain unknown. This study utilized an ambulatory electroencephalography (EEG) technique to investigate the brain dynamic changes underlying GIF and aims to detect the occurrence of GIF in four PD patients. We sought to determine whether episodes of GIF might be associated with a characteristic brain signal that could be detected by surface EEG. This preliminary investigation analyzed the EEG signals through power spectra density (PSD) and centroid frequency (CF) to show that the GIF episodes were associated with significant increases in the high beta band (21-38Hz) across the central, frontal, occipital and parietal EEG sites. By implementing PSD and CF as input features with two-layer Back Propagation neural networks as a classifier, the proposed system was able to detect GIF events with a classification performance of 84.27% sensitivity and 84.80% accuracy. This is the first study to show cortical dynamic changes associated with GIF in Parkinson's disease, providing valuable information to enhance the performance of future GIF detection that could be translated into clinical practice.
Ly, QT, Handojoseno, AMA, Gilat, M, Nguyen, N, Chai, R, Tran, Y, Lewis, SJG & Nguyen, HT 1970, 'Identifying montages that best detect the electroencephalogram power spectrum alteration during freezing of gait in Parkinson's disease patients', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, USA, pp. 6094-6097.
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© 2016 IEEE. Our research team has previously used four Electroencephalography (EEG) leads to successfully detect and predict Freezing of Gait (FOG) in Parkinson's disease (PD). However, it remained to be determined whether these four sensor locations that were arbitrarily chosen based on their role in motor control are indeed the most optimal for FOG detection. The aim of this study was therefore to determine the most optimal location and combination of sensors to detect FOG amongst a 32-channel EEG montage using our EEG classification system. EEG measures, including power spectral density, centroid frequency and power spectral entropy, were extracted from 7 patients with PD and FOG during a series of Timed up and Go tasks. By applying a feed-forward neural networks to classify EEG data, the obtained results showed that even a small number of electrodes suffice to construct a FOG detector with expected performance, which is comparable to the use of a full 32 channels montage. This finding therefore progresses the realization of a FOG detection system that can be effectively implemented on a daily basis for FOG prevention, improving the quality of life for many patients with PD.
Lyu, B, Qin, L, Lin, X, Chang, L & Yu, JX 1970, 'Scalable supergraph search in large graph databases.', ICDE, IEEE International Conference on Data Engineering, IEEE Computer Society, Helsinki, Finland, pp. 157-168.
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© 2016 IEEE. Supergraph search is a fundamental problem in graph databases that is widely applied in many application scenarios. Given a graph database and a query-graph, supergraph search retrieves all data-graphs contained in the query-graph from the graph database. Most existing solutions for supergraph search follow the pruning-and-verification framework, which prunes false answers based on features in the pruning phase and performs subgraph isomorphism testings on the remaining graphs in the verification phase. However, they are not scalable to handle large-sized data-graphs and query-graphs due to three drawbacks. First, they rely on a frequent subgraph mining algorithm to select features which is expensive and cannot generate large features. Second, they require a costly verification phase. Third, they process features in a fixed order without considering their relationship to the query-graph. In this paper, we address the three drawbacks and propose new indexing and query processing algorithms. In indexing, we select features directly from the data-graphs without expensive frequent subgraph mining. The features form a feature-tree that contains all-sized features and both the cost sharing and pruning power of the features are considered. In query processing, we propose a verification-free algorithm, where the order to process features is query-dependent by considering both the cost sharing and the pruning power. We explore two optimization strategies to further improve the algorithm efficiency. The first strategy applies a lightweight graph compression technique and the second strategy optimizes the inclusion of answers. Finally, we conduct extensive performance studies on two real large datasets to demonstrate the high scalability of our algorithms.
Ma, H, Shi, L, Kodagoda, S & Xiong, R 1970, 'A semantic labeling strategy to reject unknown objects in large scale 3D point clouds', 2016 35th Chinese Control Conference (CCC), 2016 35th Chinese Control Conference (CCC), IEEE, Chengdu, Sichuan, China, pp. 7070-7075.
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In recent years, there has been a growing interest in the research of semantic labeling of indoor scenes represented by 3D point clouds. A fundamental problem that has largely been oversighted in the current research is the way of dealing with the unknown class which collectively includes all the objects that are of no interest to the application developer. In the training stage, these objects are either completely removed or labeled as unknown, resulting in a trained model which is not fully and fairly exposed to the actual sample space. In the test stage, the unknown objects are naturally present and provided to the classifier, causing a significant drop of the classification accuracy-usually 20%~30%. Simply improving the features or the classifier will not address the root cause problem. In this paper, we propose a labeling framework combining both Conditional Random Field (CRF) and PI-SVM to specifically solve the problem caused by the unknown class. First, we use a CRF to model the contextual relations in the 3D space, for which the parameters for both node potential and edge potential are learned from training data. Then, we make use of the rejection strategy of the PI-SVM, which estimates an unnormalized probability for each class. Finally, we reinforce the result of CRF with the belief provided by the PI-SVM, and the labeling result is based on the agreement of the two classifiers. The proposed method takes advantage of the global optimization of CRF and the advantage of unknown rejection of PI-SVM. Experimental results on publicly available data set show that this method has improved the classification accuracy by 10.7% given the accuracy drop of 19.23% caused by the unknown.
Madi, BMA, Sheng, QZ, Yao, L, Qin, Y & Wang, X 1970, 'PLMwsp: Probabilistic Latent Model for Web Service QoS Prediction', 2016 IEEE International Conference on Web Services (ICWS), 2016 IEEE International Conference on Web Services (ICWS), IEEE, San Francisco, CA, pp. 623-630.
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Mahdavi, H, Fatahi, B, Khabbaz, H, Krzeminski, M, Santos, R & Marix-Evans, M 1970, 'Three-Dimensional Simulation of a Load Transfer Mechanism for Frictional and End Bearing CMC Supported Embankments on Soft Soil', Geo-China 2016, Fourth Geo-China International Conference, American Society of Civil Engineers, Shandong, China, pp. 60-67.
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© ASCE. Recently, the use of controlled modulus columns (CMC) has gained popularity in the support of rail and road bridge approach embankments on soft soils. If the columns are extended into a competent firm soil, and designed to take nearly all the vertical loads, they become rigid inclusions. The advantage of this design approach is that settlement will be controlled, but the drawback is that the columns will attract greater load, including bending moment and shear force in situations where non-uniform loading or ground conditions exist. The load on the composite soil-CMC is uniformly distributed by the upper layer of granular load transfer platform (LTP). In this paper, the effect of CMC length on the load transfer mechanism is numerically investigated. Coupled flow-deformation analysis has been performed for a long period to understand the system response in the long term, while interface elements capable of simulating gapping and sliding between CMC and the surrounding soil are considered. A geosynthetic reinforcement layer has been simulated using the inbuilt FLAC3D geogrid element. The force in the reinforcement layer has been evaluated, and in particular, a clear comparison is made between the stresses in CMC and the ground settlement with floating and end-bearing columns.
Mahmoodi, L, Bazaz, SR, Mohammadnejad, J, Mehrizi, AA & Soleimani, M 1970, 'Size-tunable alginate nanoparticles synthesis using T-junction microfluidic chip', 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering (ICBME), 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering (ICBME), IEEE, pp. 271-275.
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nanoparticles have manifold applications in the disease detection, diagnosis, and drug delivery. The precise control of an amount of particle that delivers on each organ depends on the size of the particle and its residual time. Microfluidic has a major rule on the control size of the nanoparticles. Usually, a T-junction microchip is used for the synthesis of the nanoparticles by changing the related velocity between the core and shear flow. In this experimental study, alginate solution in water uses as the core flow and an efficient cross-linker which is CaCl2 uses as the shear flow. The different related velocity of core flow to shear flow is examined. The range of these two streams varies from 0.2 to 0.01. It should be noted that decrease of the velocity rate between two streams leads to decrease in the size of the nanoparticles. Therefore, it is shown that the smallest nanoparticle is made on the least relative stream which is 0.01. By scanning electron microscope and image processing techniques, it is found that the nanoparticle with 97 nm is produced during this process. Due to the various application fields of nanoparticles, this experimental procedure could be a promising one for the biologist in the future.
Makki Alamdari, M, Khoa, NLD, Runcie, P, Li, J & Mustapha, S 1970, 'Characterization of gradually evolving structural deterioration in jack arch bridges using support vector machine', MAINTENANCE, MONITORING, SAFETY, RISK AND RESILIENCE OF BRIDGES AND BRIDGE NETWORKS, 8th International Conference on Bridge Maintenance, Safety and Management (IABMAS), CRC Press, Foz do Iguacu, BRAZIL, pp. 555-555.
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Manafizad, AN, Pradhan, B & Abdullahi, S 1970, 'Estimation of Peak Ground Acceleration (PGA) for Peninsular Malaysia using geospatial approach', IOP Conference Series: Earth and Environmental Science, IOP Publishing, pp. 012069-012069.
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Manongdo, R & Xu, G 1970, 'Applying client churn prediction modeling on home-based care services industry', 2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC), 2016 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC), IEEE, Durham, NC, pp. 167-172.
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Client churn prediction model is widely acknowledged as an effective way of realizing customer life-time value especially in service-oriented industries and under a competitive business environment. Churn model allows targeting of clients for retention campaigns and is a critical component of customer relationship management(CRM) and business intelligence systems. There are numerous statistical models and techniques applied successfully on data mining projects for various industries. While there is literature for prediction modeling on hospital health care services, non-exist for home-based care services. In this study, logistic regression, random forest and C5.0 decision tree were the models used in building a binary client churn classifier for a home-based care services company based in Australia. All models yielded prediction accuracies over 90% with tree based classifiers marginally higher and C5.0 model found to be suitable for use in this industry. This study also showed that existing client satisfaction measures currently in use by the company does not adequately contribute to churn analysis.
Marjanovic, O 1970, 'Empowering Business Users to Explore Visual Data Through Boundary Objects and Storytelling.', HICSS, 49th Hawaii International Conference on System Sciences (HICSS), IEEE Computer Society, Koloa, HI, pp. 5032-5041.
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Marjanovic, O 1970, 'Improvement of Knowledge-Intensive Business Processes Through Analytics and Knowledge Sharing.', ICIS, Association for Information Systems.
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This applied research focuses on knowledge-intensive business processes (KIBPs) supported by Business Intelligence and Analytics (BI&A), here termed BI&A-supported KIBPs. Examples of these processes include customer-support services, risk and assurance processes, and design of marketing campaigns. This research aims to investigate an industry-informed research challenge of ongoing improvement of BI&A-supported KIBPs, in particular the role of BI&A in process improvement. This paper presents a qualitative research case study, conducted in a large retail distribution company, using a theoretical lens of Work Systems Theory (WST). We describe an innovative approach to ongoing improvement of BI&A-supported KIBP and confirm an important role played by BI&A in this context. Informed by these research insights, we then propose a new theoretical model of ongoing improvement of BI&A-supported KIBP and explain its significance using relevant literature. The model is also highly relevant for industry practitioners looking for new sources of competitive differentiation, beyond BI&A technology.
Marjanovic, O, Dinter, B & Ariyachandra, T 1970, 'Introduction to the Organizational Issues of Business Intelligence, Business Analytics, and Big Data Minitrack.', HICSS, IEEE Computer Society, pp. 5011-5011.
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Martin Salvador, M, Budka, M & Gabrys, B 1970, 'Towards Automatic Composition of Multicomponent Predictive Systems', Hybrid Artificial Intelligent Systems, International Conference on Hybrid Artificial Intelligence Systems, Springer International Publishing, Seville, Spain, pp. 27-39.
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Automatic composition and parametrisation of multicomponent predictive systems (MCPSs) consisting of chains of data transformation steps is a challenging task. In this paper we propose and describe an extension to the Auto-WEKA software which now allows to compose and optimise such flexible MCPSs by using a sequence of WEKA methods. In the experimental analysis we focus on examining the impact of significantly extending the search space by incorporating additional hyperparameters of the models, on the quality of the found solutions. In a range of extensive experiments three different optimisation strategies are used to automatically compose MCPSs on 21 publicly available datasets. A comparison with previous work indicates that extending the search space improves the classification accuracy in the majority of the cases. The diversity of the found MCPSs are also an indication that fully and automatically exploiting different combinations of data cleaning and preprocessing techniques is possible and highly beneficial for different predictive models. This can have a big impact on high quality predictive models development, maintenance and scalability aspects needed in modern application and deployment scenarios.
Maung, H, Aramvith, S & Miyanaga, Y 1970, 'Improved region-of-interest based rate control for error resilient HEVC framework', 2016 IEEE International Conference on Digital Signal Processing (DSP), 2016 IEEE International Conference on Digital Signal Processing (DSP), IEEE.
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McGregor, C & Bonnis, B 1970, 'Big Data Analytics for Resilience Assessment and Development in Tactical Training Serious Games', 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS), 2016 IEEE 29th International Symposium on Computer-Based Medical Systems (CBMS), IEEE, NORTH IRELAND, pp. 158-162.
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© 2016 IEEE. Training activities utilising virtual realityenvironments are being used increasingly to create trainingscenarios to promote resilience for mental and physicalwellbeing and to enable repeatable scenarios to allow traineesto learn techniques for various stressors. However, assessmentof the trainees' response to these training activities has eitherbeen limited to various pre and post training assessmentmetrics or collected in parallel during experiments andanalysed retrospectively. We have created a Big Data analyticsplatform, Athena, that in real-time acquires data from a firstperson shooter game, ArmA 3, as well as the data ArmA 3sends to the muscle stimulation component of a multisensorygarment, ARAIG that provides on the body feedback to thewearer for communications, weapon fire and being hit andintegrates that data with physiological response data such asheart rate, breathing behaviour and blood oxygen saturation. This paper presents a method to create structured resiliencetraining scenarios that incorporate Big Data analytics forresilience analytics for new approaches for resilienceassessment and development in tactical training serious games.
McGregor, C, Bonnis, B, Stanfield, B & Stanfield, M 1970, 'Design of the ARAIG haptic garment for enhanced resilience assessment and development in tactical training serious games', 2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin), 2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin), IEEE, pp. 214-217.
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© 2016 IEEE. First person shooter virtual reality games have begun to be used for serious games for military or civilian tactical training for new approaches for resilience assessment and development as part of new approaches for mental health training. However, sensory stimulation has been largely constrained to visual and auditory sensations with limited tactile feedback through haptic controllers. This paper presents a design for the ARAIG haptic garment for enhanced resilience assessment and development in tactical training serious games.
Md Rafi, FH, Hossain, MJ, Rahman, MS & Lu, J 1970, 'Impact of controlling zero sequence current in a three-phase four-wire LV network with PV units', 2016 IEEE Power and Energy Society General Meeting (PESGM), 2016 IEEE Power and Energy Society General Meeting (PESGM), IEEE, Boston, MA.
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Membrey, P, Veitch, D & Chang, RKC 1970, 'Time to Measure the Pi', Proceedings of the 2016 Internet Measurement Conference, IMC 2016: Internet Measurement Conference, ACM, Santa Monica, California, USA, pp. 327-334.
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The Raspberry Pi platform is increasingly being used for network measurement due to its low cost, ease of deployment, and ability to run Linux. Timestamps are a critical part of measurement data, yet the suitability of the Pi for timing has not been established. We use reference hardware to characterize the Pi's STC hardware counter, and to evaluate its performance when paired with a low cost yet powerful GPS 'hat'. We find that the platform can support timing adequate for most measurement purposes, but with some caveats.
Merigo, JM, Alrajeh, N & Peris-Ortiz, M 1970, 'Induced aggregation operators in the ordered weighted average sum', 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Athens, Greece, pp. 1-6.
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© 2016 IEEE. The ordered weighted average (OWA) aggregation is an extension of the classical weighted average by using a reordering process of the arguments in a decreasing or increasing way. This article presents new averaging aggregation operators by using sums and order inducing variables. This approach produces the induced ordered weighted average sum (IOWAS). The IOWAS operator aggregates a set of sums using a complex reordering process based on order-inducing variables. This approach includes a different types of aggregation structures including the well-known OWA families. The work presents additional generalizations by using generalized and quasi-arithmetic means. The paper ends with a simple numerical example that shows how to aggregate with this new approach.
Merigo, JM, Blanco-Mesa, F, Gil-Lafuente, AM & Yager, RR 1970, 'A bibliometric analysis of the first thirty years of the International Journal of Intelligent Systems', 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Athens, Greece.
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© 2016 IEEE. The International Journal of Intelligent Systems was created on 1986. Today, the journal has become thirty years old. In order to celebrate this anniversary, this study develops a bibliometric review of all the papers published in the journal between 1986 and 2015. The results are mainly based on the Web of Science Core Collection that classifies the bibliographic material by using several indicators including the total number of publications and citations, the h-index, the cites per paper and the citing articles. Moreover, the work also uses the VOS viewer software for visualizing the main results through bibliographic coupling and co-citation. The results show a general overview of the leading trends that have influenced the journal in terms of highly cited papers, authors, journals, universities and countries.
Merigó, JM, Zurita, G & Link-Chaparro, S 1970, 'Normalization of the article influence score between categories', Lecture Notes in Engineering and Computer Science, pp. 182-187.
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This study introduces a normalized article influence score. The main objective is to show that the article influence score obtained in different categories is not equivalent and it is necessary to normalize it when comparing journals form different categories. Several methods are suggested including a normalization that divides the article influence score by the average and another approach that normalizes the results in [0, 1] inside the same category in order to be able to compare between different fields. The results show that each category have different results and it is necessary to develop a normalization process in order to compare the journals. The article analyses a case study in engineering.
Merigó, JM, Zurita, G & Lobos-Ossandón, V 1970, 'Computer science research in artificial intelligence', Lecture Notes in Engineering and Computer Science, pp. 216-220.
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This paper presents a bibliometric overview of the research carried out between 1990 and 2014 in computer science with a focus on artificial intelligence. The work analyses all the journals available in Web of Science during this period and presents their publication and citation results. The study also considers the most cited articles in this area during the last twenty-five years. IEEE Journals obtain the most remarkable results publishing more than half of the most cited papers.
Mihăiţă, AS, Ortiz, MB & Camargo, M 1970, 'Integrating a mesoscopic traffic simulation model and a simplified NO2 estimation model for predicting the impact of air pollution', 23rd World Congress on Intellient Transportation Systems (ITSWC 2016), Melbourne, Australia, 10-14 October 2016.
Miller, G, Hermans, F & Braun, R 1970, 'Gradual structuring: Evolving the spreadsheet paradigm for expressiveness and learnability', 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), IEEE, Istanbul, Turkey, pp. 1-8.
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© 2016 IEEE. Spreadsheets are arguably the most used form of programming and are frequently used in higher education to teach fundamental concepts about computation. Their success has shown that they are simple enough for a huge number of end users to learn and use. This is in contrast to traditional programming languages and the high dropout rate from introductory programming and computer science. However in comparison to traditional programming languages and structured modelling, spreadsheets are not expressive, placing a limit on the levels of computational thinking that can be taught using the spreadsheet paradigm. This limitation is imposed by the lack of programming language features and abstractions in the paradigm. Furthermore, more advanced spreadsheet features (e.g. array formulae, lookup formulae, R1C1 syntax) can be difficult to learn and use. This paper discusses the idea of adding language features to spreadsheets, enabling the gradual structuring of free-form spreadsheets to more structured models. We propose that this concept is termed Gradual Structuring, and is analogous to the programming language concept of gradual typing. In this analogy, spreadsheets take the place of dynamic programming and structured modelling of static programming. In programming languages, gradual typing allows dynamic programming to be mixed with static programming. It is our contention that dynamic programming is more learnable while static programming is more expressive and abstract. Gradual typing could be used to mitigate the issues in the teaching of traditional programming. Likewise Gradual Structuring can mitigate the conceptual limits that can be taught using current spreadsheets. The key language feature required to enable Gradual Structuring is the ability to logically group cells together so that a single formula can be applied to the grouped cells. This concept, termed cell grouping diminishes and can even eliminate the need for the ubiquitous and ...
Milne, DN, Pink, G, Hachey, B & Calvo, RA 1970, 'CLPsych 2016 Shared Task: Triaging content in online peer-support forums', Proceedings of the Third Workshop on Computational Lingusitics and Clinical Psychology, Proceedings of the Third Workshop on Computational Lingusitics and Clinical Psychology, Association for Computational Linguistics.
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Mimani, A, Croaker, P, Karimi, M, Doolan, CJ & Kessissoglou, N 1970, 'Hybrid CFD-BEM and Time-Reversal techniques applied to localise flow-induced noise sources generated by a flat-plate', 2nd Australasian Acoustical Societies Conference, ACOUSTICS 2016, pp. 465-474.
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This paper presents a computational analysis of the flow-induced noise generated by a sharp-edged symmetric flat-plate located in low Mach number flow using the hybrid computational fluid dynamics (CFD)-boundary element method (BEM) and the Time-Reversal (TR) source localisation techniques. The CFD-BEM method is used to obtain the far-field acoustic spectrum of (1) the direct field generated by the turbulent flow over the flat-plate, (2) the acoustic field scattered by the body and (3) the total acoustic field at all four computational boundaries. The far-field acoustic spectrum for all three cases exhibits a broadband nature whereby the time-domain acoustic pressure data is obtained using the inverse Fast Fourier Transform followed by band-passing the signals in 1/3rd octave bands. The aeroacoustic TR simulations were implemented by numerically solving a set of 2-D Linearised Euler Equations and enforcing the band-passed time-reversed acoustic pressure signals as input at the boundary nodes. The TR source maps corresponding to the direct field indicates a lateral quadrupole source located downstream of the Trailing-Edge (TE) in the low-frequency range and a dominant longitudinal quadrupole located at the Leading-Edge (LE) in the high-frequency range. For both scattered and total fields, the TR source maps indicate a lift-dipole source at the TE in the low-frequency range whilst in the high-frequency range, the source maps indicate the occurrence of a weaker dipole source at the LE and a dominant dipole source at the TE.
Ming, J, Zhang, Y & Luo, L 1970, 'Study on Optimization Algorithm of Marketing Resources Allocation for the E-commerce Agency-operation Service Provider', 2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC), 2nd IEEE International Conference on Computer and Communications (ICCC), IEEE, PEOPLES R CHINA, Chengdu, pp. 2486-2489.
Mishra, S, Rizoiu, M-A & Xie, L 1970, 'Feature Driven and Point Process Approaches for Popularity Prediction', CIKM'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 25th ACM International Conference on Information and Knowledge Management (CIKM), ASSOC COMPUTING MACHINERY, IUPUI, Indianapolis, IN, pp. 1069-1078.
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Predicting popularity, or the total volume of information outbreaks, is animportant subproblem for understanding collective behavior in networks. Each ofthe two main types of recent approaches to the problem, feature-driven andgenerative models, have desired qualities and clear limitations. This paperbridges the gap between these solutions with a new hybrid approach and a newperformance benchmark. We model each social cascade with a marked Hawkesself-exciting point process, and estimate the content virality, memory decay,and user influence. We then learn a predictive layer for popularity predictionusing a collection of cascade history. To our surprise, Hawkes process with apredictive overlay outperform recent feature-driven and generative approacheson existing tweet data [43] and a new public benchmark on news tweets. We alsofound that a basic set of user features and event time summary statisticsperforms competitively in both classification and regression tasks, and thatadding point process information to the feature set further improvespredictions. From these observations, we argue that future work on popularityprediction should compare across feature-driven and generative modelingapproaches in both classification and regression tasks.
Mohammadi, MS, Dutkiewicz, E & Zhang, Q 1970, 'Joint Source-Channel Optimization of Vector Quantization with Polar Codes', 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), IEEE, Montreal, QC, Canada, pp. 1-6.
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© 2016 IEEE. Joint application of polar channel coding combined with vector quantization lossy source coding is considered in this paper. The existing index assignment schemes in the literature cannot be used with polar codes due to their unique crossover probabilities. We elaborate on this problem and locally optimize index assignments. In addition, we propose an algorithm that jointly optimizes the number of quantization levels and the rate of the polar code in order to achieve minimum end-to-end distortion. It finds the optimal tradeoff between the distortion caused by channel errors and the quantization distortion. We also derive estimates for the crossover probabilities of the polar code which are required in the analysis. Simulation results confirm the effectiveness of the proposed algorithms and the accuracy of the crossover probabilities.
Moheimani, SOR, Fowler, A, Maroufi, M & Ruppert, M 1970, 'On-chip atomic force microscopy: Mechatronic system design and control', 2016 American Control Conference (ACC), 2016 American Control Conference (ACC), IEEE.
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Mols, I, van den Hoven, E & Eggen, B 1970, 'Technologies for Everyday Life Reflection', Proceedings of the TEI '16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction, TEI '16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction, ACM, Eindhoven, The Netherlands, pp. 53-61.
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Reflection gives insight, supports action and can improve wellbeing. People might want to reflect more often for these benefits, but find it difficult to do so in everyday life. Research in HCI has shown the potential of systems to support reflection in different contexts. In this paper we present a design space for supporting everyday life reflection. We produced a workbook with a selection of conceptual design proposals, which show how systems can take different roles in the process of reflection: triggering, supporting and capturing. We describe a design space with two dimensions by combining these roles with strategies found in literature. We contribute to the extensive body of work on reflection by outlining how design for everyday life reflection requires a focus on more holistic reflection, design with openness and integration in everyday life.
Mols, I, van den Hoven, E, Eggen, B & ACM 1970, 'Informing Design for Reflection: an Overview of Current Everyday Practices', PROCEEDINGS OF THE NORDICHI '16: THE 9TH NORDIC CONFERENCE ON HUMAN-COMPUTER INTERACTION - GAME CHANGING DESIGN, Nordic Conference on Human-Computer Interaction (NordCHI), ACM, Gothenburg, Sweden, pp. 1-10.
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There is an increasing interest in HCI in designing to support reflection in users. In this paper, we specifically focus on everyday life reflection, covering and connecting a broad range of topics from someone's life rather than focusing on a very specific aspect. Although many systems aim to support reflection, few are based on an overview of how people currently integrate reflection in everyday life. In this paper, we aim to contribute to this gap through a questionnaire on everyday life reflection practices combining both qualitative and quantitative questions. Findings provide insights in the broad range of people that engage with reflection in different ways. We aim to inform design through four considerations: rumination, timing, initiative and social context.
Montgomery, J, Reid, M & Drake, BJ 1970, 'Protocols and Structures for Inference: A RESTful API for Machine Learning', Proceedings of The 2nd International Conference on Predictive APIs and Apps, 2nd International Conference on Predictive APIs and Apps, Journal of Machine Learning Research, Sydney, pp. 29-42.
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Diversity in machine learning APIs (in both software toolkits and web services), works against realising machine learning’s full potential, making it difficult to draw on individual algorithms from different products or to compose multiple algorithms to solve complex tasks. This paper introduces the Protocols and Structures for Inference (PSI) service architecture and specification, which presents inferential entities—relations, attributes, learners and predictors—as RESTful web resources that are accessible via a common but flexible and extensible interface. Resources describe the data they ingest or emit using a variant of the JSON schema language, and the API has mechanisms to support non-JSON data and future extension of service features.
Moshiri, F, Shrestha, R & Crews, K 1970, 'Predictive Models for the Stiffness of Vertical Screws as Shear Connection in Timber-Concrete Composite Floors', Composite Construction in Steel and Concrete VII, International Conference on Composite Construction in Steel and Concrete 2013, American Society of Civil Engineers, Palm Cove, Australia, pp. 661-675.
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© ASCE. The stiffness, strength, and arrangement of the shear connection play a crucial role in the design of timber-concrete composite (TCC). This paper reviews the available analytical models for prediction of the stiffness of TCC shear connections. The methodology of different analytical models for stiffness of the mechanical fastener TCC connection is discussed and the accuracy of these models is examined based on push out test results for shear connectors. The simplified stiffness models underestimated the experimental data of normal wood screw with an error ranging approximately 10-40%, whereas the models based on Winkler's theory were inaccurate and calculated a much lower stiffness compared to that of experimental test with an error of approximately 60%. The reasons attributed to inaccuracy of the stiffness models are described. This paper recommends further investigation on the prediction of foundation moduli of timber and concrete as the main input parameters of the models based on the Winkler's theory.
Muhammad, KS, Baharom, R, Salleh, MKM & Lu, DD-C 1970, 'Open-circuit fault tolerant bridgeless boost rectifier', IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IEEE, Florence, Italy, pp. 2201-2206.
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© 2016 IEEE.In this paper, a bridgeless boost rectifier with open circuit fault tolerant capability is proposed. The proposed converter is based on a H-bridge rectifier configuration. It possesses a redundancy feature such that only two out of four switches require to be functional to ensure the continuity of the converter operation with power factor correction (PFC). A detailed analysis of the converter operation under all open circuit faults of the switches are presented. In order to achieve smooth input current waveform, a PWM controller is proposed and developed which combines a conventional average current mode PFC controller with several logic gates and a phase detector. An experimental prototype is developed and tested to verify the converter performance.
Naik, GR, Pendharkar, G & Nguyen, HT 1970, 'Wavelet PCA for automatic identification of walking with and without an exoskeleton on a treadmill using pressure and accelerometer sensors', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, USA, pp. 1999-2002.
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Nowadays portable devices with more number of
sensors are used for gait assessment and monitoring for elderly
and disabled. However, the problem with using multiple
sensors is that if they are placed on the same platform or base,
there could be cross talk between them, which could change the
signal amplitude or add noise to the signal. Hence, this study
uses wavelet PCA as a signal processing technique to separate
the original sensor signal from the signal obtained from the
sensors through the integrated unit to compare the two types of
walking (with and without an exoskeleton). This comparison
using wavelet PCA will enable the researchers to obtain
accurate sensor data and compare and analyze the data in
order to further improve the design of compact portable
devices used to monitor and assess the gait in stroke or
paralyzed subjects. The advantage of designing such systems is
that they can also be used to assess and monitor the gait of the
stroke subjects at home, which will save them time and efforts
to visit the laboratory or clinic.
Nampak, H & Pradhan, B 1970, 'Use of multi-temporal SPOT-5 satellite images for land degradation assessment in Cameron Highlands, Malaysia using Geospatial techniques', 41st COSPAR Scientific Assembly, abstracts from the meeting that was to be held 30 July-7 August at the Istanbul Congress Center (ICC), Turkey, but was cancelled. See http://cospar2016. tubitak. gov. tr/en/, Abstract A3. 1-13-16..
Nanda, A, Nanda, P & He, X 1970, 'Geo-Location Oriented Routing Protocol for Smart Dynamic Mesh Network', 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), IEEE, Sydney, Australia, pp. 891-898.
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© 2016 IEEE. Wireless Mesh Network is an emerging technology with great potential to become a Self-Sustained Network. Unlike the traditional networks that dominate the current communication system and rely on a large and expensive setup of wired/wireless access points to provide connection between users, the Wireless Mesh Network is formed by the user devices (referred as Nodes) which connect to each other to form a network. However, due to the use of legacy/traditional network models for mesh networks, there exist various limitations towards its implementation. This paper presents a new approach towards the Wireless Mesh Network, incorporating a new routing scheme based on the Geo-Location of the devices. It puts forward the structure, working principle and its performance during the first implementation.
Naqshbandi, K, Milne, DN, Davies, B, Potter, S, Calvo, RA & Hoermann, S 1970, 'Helping young people going through tough times', Proceedings of the 28th Australian Conference on Computer-Human Interaction - OzCHI '16, the 28th Australian Conference, ACM Press, Univ Tasmania, Hobart, AUSTRALIA.
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Nascimben, M, Yu, Y-H, Lin, C-T, King, J-T, Singh, AK & Chuang, C 1970, 'Effect of a cognitive involving videogame on MI task', Proceedings of the 6th International Brain-Computer Interface Meeting, organized by the BCI Society, Verlag der TU Graz, Graz University of Technology, sponsored by g.tec medical engineering GmbH, pp. 175-175.
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Researcher and developers have to face with performance variation in motor imagery[1] across andwithin subjects and its fluctuations over time. In addition MI achievement variations within subjects are closelycorrelated to neurophysiological variables[2]. In our study a MI task was submitted to a group of healthy subjectsbefore and after playing BCIGEM videogame for 90 minutes. Some EEG features were found, suggesting adifferent pathway of activation inside MU rhythm during Motor Imagery (MI) after a mentally challenging activitylike playing a videogame
Nasir, AA, Ngo, DT, Tuan, HD, Durrani, S & Kim, DI 1970, 'Secure beamforming for max-min SINR in multi-cell SWIPT systems', 2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), IEEE, Doha, QATAR, pp. 1-6.
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© 2016 IEEE.We consider the downlink of a dense multicell network where each cell region is divided into two zones. The users nearby their serving base station (BS) in the inner zone implement simultaneous wireless information and power transfer (SWIPT), thus harvest energy and decode information using the power splitting approach. Further, they try to eavesdrop the information intended for other users within the same cell. The users in the outer zone of each cell only implement information decoding. Our objective is to maximize the minimum user equipment (UE) signal-To-interference-And-noise ratio (SINR) under constraints on the BS transmit power, minimum energy harvesting levels of near-by users, and maximum SINR of eavesdroppers in the presence of multi-cell interference. For such a highly non-convex problem, semidefinite relaxation (SDR) may even fail to locate a feasible solution. We propose two methods to address such a difficult problem. In the spectral optimization, we express the rank-one constraints as a single reverse convex nonsmooth constraint and incorporate it into the optimization objective. In the difference-of-convex-functions iteration method, we directly solve for the beamforming vectors via quadratic programming (QP), avoiding the matrix rank constraints. In each iteration of the proposed algorithms, we only solve one simple convex semidefinite program (SDP) or QP. Our simulation results confirm that the proposed algorithms converge quickly after a few iterations. More importantly, our algorithms yield the performance that is very close to the theoretical bound given by SDP relaxation with comparable computational complexity.
Nasir, AA, Tuan, HD, Duong, TQ & Poor, HV 1970, 'Secrecy Rate Beamforming for Multi-Cell SWIPT Networks', 2016 IEEE Globecom Workshops (GC Wkshps), 2016 IEEE Globecom Workshops (GC Wkshps), IEEE, Washington, DC, USA, pp. 1-5.
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© 2016 IEEE. Considering a multicell network for secure wireless information and power transfer, this paper studies the joint design of transmit beamformers at the base stations (BSs) and receive signal splitting ratios at the end users' equipment (UEs). The primary concern in this work is the network internal security, where there may be a single multi-antenna eavesdropper who eavesdrop on the received signal of any user. The objective is to maximize the minimum secrecy user rate under BS transmit power and UE minimum harvested energy constraints. New path-following algorithm is proposed for computational solution of the difficult nonconvex optimization problem. Each iteration involves one simple convex quadratic program (QP). Numerical results confirm that the proposed algorithm converges quickly after few iterations and the secrecy rate performance is close to that of normal rate in the absence of eavesdropper.
NEJAD, MZ, LU, JIE, ASGARI, P & BEHBOOD, V 1970, 'THE EFFECT OF GOOGLE DRIVE DISTANCE AND DURATION IN RESIDENTIAL PROPERTY IN SYDNEY, AUSTRALIA', Uncertainty Modelling in Knowledge Engineering and Decision Making, Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016), WORLD SCIENTIFIC, FRANCE.
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Neri, A, Cagno, E & Trianni, A 1970, 'Barriers to energy efficiency measures and the role of industrial sustainability', Eceee Industrial Summer Study Proceedings, pp. 233-242.
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Energy efficiency is largely recognized as a major contributor for industrial sustainability. In order to improve their energy efficiency and thus industrial sustainability performances firms should implement energy efficiency measures (EEMs) that are not largely diffused yet. Hitherto, EEMs have been evaluated exclusively by looking at barriers from an energy efficiency decision maker's viewpoint, thus not accounting for a broader sustainability perspective. When considering the latter, the Triple Bottom Line could be taken: within an industrial context, it can be identified with the areas of Occupational Health and Safety (OHS) and Eco-efficiency (in which energy efficiency is gaining increasing relevance). For this reason, the present work is aimed at better understanding barriers to EEMs adoption, by analyzing them through different perspectives and insights offered by several responsible of single areas of industrial sustainability within a firm. To address this research gap, we have investigated through explorative case studies some firms within Northern Italy with a specific model on barriers to industrial sustainability measures,. The results seem to show that an EEM should be analyzed under different perspectives. New with respect to previous literature, a more proper perspective for analyzing an EEM should be that of industrial sustainability, and not just that of energy-efficiency, since it may result limited. Energy and Environmental managers may have a different perspective on barriers than the OHS's one, highlighting barriers not perceived by just one area's responsible. Moreover, an EEM may be stopped by reasons not knowledgeable to energy efficiency, rather to other areas, such as, e.g. OHS. Lastly, an EEM may have positive effects (co-benefits) on other areas of industrial sustainability, that may be perceived only by such areas. The study concludes with some remarks for policy and industrial decision- makers, and advice for further research.
Nerse, C & Wang, S 1970, 'Experimental Modal Analysis of Rolled Multi Layer Cylindrical Shell', Conference Proceedings of the Society for Experimental Mechanics Series, 34th IMAC Conference and Exposition on Structural Dynamics, Springer International Publishing, Orlando, FL, pp. 249-254.
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Cylindrical shells are frequently encountered in industry, flight structures, pipeline systems and marine crafts. In these applications cylindrical shells are commonly subjected to harmonic excitations induced by pumps, turbines, compressors etc. Structures exposed to such loads can have structural failure due to sustained effect originated from the vibration by the dynamic load, and structural resonances. For suppression of noise and vibration in the system many design techniques have been employed, and the concept of laminated or multi layer shell has been utilized in several work. In such configuration layers with or without additional damping material stacked on top of each other to achieve the optimum vibration behavior. In rolled multi layer cylindrical shells this phenomenon is realized by rolling a thin plate around a cylindrical shell. Analyzing the coupled system in frequency domain, it is observed that the contact relation between adjacent layers change the system eigenvalues and eigenvectors, as well as resulting in overall reduction in noise and vibration compared to simple shell. In this research experimental modal analysis has been done, and case studies have been presented for different thickness configurations of rolled multi layer shell structure.
Ngo, NT & Tung, TM 1970, 'Coupled Discrete-Continuum Method for Studying Load-Deformation of a Stone Column Reinforces Rail Track Embankments', Procedia Engineering, International Conference on Sustainable Development of Civil, Urban and Transportation Engineering (CUTE), Elsevier BV, Ho Chi Minh City, VIETNAM, pp. 139-145.
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Stone columns are being increasingly used as a cost-effective and environmentally friendly method for reinforcing soft soils of rail track embankments. Deformation behavior of stone columns reinforced soft clay has been the subject of an extensive number of experimental and modelling studies during last decades. A continuum-based numerical method provides valuable insights into the settlement, lateral deformation, stress and strain-rate dependent behavior of stone column at macroscopic scale. However, due to the discrete nature of stone columns, which are comprised of granular aggregates, they cannot be properly modelled by the continuum methods. This paper presents a novel coupling model of discrete element method (DEM) and finite difference method (FDM) to investigate the load-deformation behavior of stone columns considering micromechanical analysis. In the coupled discrete-continuum model, the soft soil domain under track embankment is modelled by the continuum method using FLAC and stone column is modelled by the discrete element method using PFC2D. A force-displacement transmission mechanism is introduced to achieve the interaction of both domains in which the DEM transfers forces and moment to the FDM and then the FDM updates displacements back to the DEM. The predicted load-deformation results are in good agreement with the data measured experimentally; indicating that the proposed coupling discrete-continuum model could capture the deformation behavior of stone column reinforced soft soils.
Ngo, NT, Indraratna, B & Rujikiatkamjorn, C 1970, 'Load-Deformation Behavior of a Stone Column Using the Coupled DEM-FDM Method', Geotechnical and Structural Engineering Congress 2016, Geotechnical and Structural Engineering Congress 2016, American Society of Civil Engineers, pp. 1618-1626.
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This paper presents a novel coupled model of discrete element method (DEM) and finite difference method (FDM) to investigate the load-deformation of stone columns reinforced soft clay. In the proposed model, the soft clay domain was modelled by the continuum method using FLAC and stone column was modelled by the discrete element method using PFC2D. Algorithms and mathematical framework to assist coupling between the two domains were introduced, in which the DEM transfers forces and moment to the FDM and then the FDM provides an update of displacements to the DEM. The predicted load-deformation responses obtained from the coupling model reasonably agreed well with data measured experimentally, indicating that the proposed coupling discrete-continuum model could capture the deformation behavior of stone column stabilized soft clay. Evolutions of contact force distributions developed in stone column at varying levels of settlement were presented. Shear stress-strain contours induced in the surrounding soft soils were also investigated.
Ngo, NT, Indraratna, B & Rujikiatkamjorn, C 1970, 'Study on the Interface Behavior of a Geosynthetics-Reinforced Fouled Ballast Using the Discrete Element Method', Geo-Chicago 2016, Geo-Chicago 2016, American Society of Civil Engineers, pp. 730-738.
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Railways offer an efficient and economic transport mode in many parts of the developed countries including Australia, China and USA. Ballast layer is designed as a load bearing layer for rail tracks and to be free draining, but when the ballast voids are wholly or partially impeded due to the intrusion of fine particles, the ballast can be considered to be fouled. Fouling causes a reduction in the drainage capacity of ballast, thereby reducing the track resiliency and triggering high maintenance costs. Geosynthetics are commonly used in railway construction for reinforcement and stabilization purposes. When railway ballast becomes fouled the beneficial effect of the geosynthetics could decrease significantly. This paper presents a study of how the interface behavior of geosynthetics-ballast copes with fouling using discrete element modelling (DEM) of large-scale direct shear tests. A series of large-scale direct shear tests for coal fouled ballast were carried out in the laboratory and were then simulated in the DEM. Shear stress-strain and volumetric dilation responses obtained from the DEM simulations were in reasonable agreement with those measured experimentally. The contact force distributions of fresh and fouled ballast were captured and shown that the fouled ballast exhibited higher number of contact forces compared to the fresh ballast assembly. This is due to coal fines accumulated in voids among large particles then partially carry and transmit contact forces across the assembly. Strains developed horizontally across the geogrid were also analyzed in this study.
Nguyen, H, Liu, W, Rivera, P & Chen, F 1970, 'TrafficWatch: Real-Time Traffic Incident Detection and Monitoring Using Social Media', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer International Publishing, New Zealand, pp. 540-551.
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© Springer International Publishing Switzerland 2016. Social media has become a valuable source of real-time information. Transport Management Centre (TMC) in Australian state government of New South Wales has been collaborating with us to develop TrafficWatch, a system that leverages Twitter as a channel for transport network monitoring, incident and event managements. This system utilises advanced web technologies and state-of-the-art machine learning algorithms. The crawled tweets are first filtered to show incidents in Australia, and then divided into different groups by online clustering and classification algorithms. Findings from the use of TrafficWatch at TMC demonstrated that it has strong potential to report incidents earlier than other data sources, as well as identifying unreported incidents. TrafficWatch also shows its advantages in improving TMC’s network monitoring capabilities to assess network impacts of incidents and events.
Nguyen, HH, Khabbaz, H, Fatahi, B, Santos, R, Marix-Evans, M & Vincent, P 1970, 'Installation Effect of Controlled Modulus Columns on Nearby Existing Structures', Geo-China 2016, Fourth Geo-China International Conference, American Society of Civil Engineers, Shandong, China, pp. 125-133.
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© 2016 ASCE. Controlled modulus columns (CMC) ground improvement technique is a novel approach to reduce ground settlement. To install CMC, a rotary displacement auger is used to form a vertical cylindrical cavity, by displacing the surrounding soils laterally, followed by grout injection. While the method reduces spoil generation, excessive lateral soil displacement may damage the adjacent structures and freshly-grouted CMCs. Although there has been growing interest in quantifying such effects, only a handful of studies have been attempted. This paper presents results of a numerical investigation on the CMC installation effect on an existing bridge pile using the three-dimensional finite difference software package FLAC3D. The bridge pile response to the lateral soil movement induced by the CMC installation are presented and discussed.
Nguyen, JL, Lawrance, NRJ, Fitch, R & Sukkarieh, S 1970, 'Informative Soaring with Drifting Thermals', 2016 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE International Conference on Robotics and Automation, IEEE, Stockholm, Sweden, pp. 1522-1529.
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© 2016 IEEE. The informative soaring (IFS) problem involves a gliding unmanned aerial vehicle (UAV) exploiting energy from thermals to extend its information gathering capability. In this paper, we address the realistic situation of detecting new thermals drifting with the wind in the search environment. We consider complex target-search scenarios characterised by information clusters and propose a new set of algorithms designed to both explore for and exploit high-value thermals to maximise information gain. Our algorithms: 1) compute a thermal exploration map to detect useful thermals that eventually intercept clusters, 2) solve a boundary value problem for interthermal path segment (ITP) generation with moving thermals, 3) compute thermal time windows to gather information from clusters and form a cluster service schedule, and 4) use branch and bound (BnB) tree search for global planning, considering high-utility-rate ITPs to maximise information gain. Our solution is compared against a greedy method that neither considers the thermal exploration map nor cluster schedule and a full knowledge method that has access to all thermals. Numerical simulations show that on average, our solution outperforms the greedy method in one-third of 2400 Monte Carlo trials, and achieves similar performance to the full knowledge method when environmental conditions are favourable.
Nguyen, L & Kodagoda, S 1970, 'Soil organic matter estimation in precision agriculture using wireless sensor networks', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE, Thailand.
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Nguyen, L, Fatahi, B & Khabbaz, H 1970, 'A Novel Model to Simulate the Behaviour of Cement-Treated Clay under Compression and Shear', Geo-China 2016, Fourth Geo-China International Conference, American Society of Civil Engineers, Shandong, China, pp. 152-158.
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© ASCE. Soft clay treated with cement shows an improvement on strength due to the chemical interaction between cement and clay particles. Laboratory results showed that the peak strength of the cement treated clay reduces as the mean effective stress increases due to the effect of cementation degradation. Therefore, in this paper, a constitutive model was developed to simulate the behaviour of cement treated clay. Based on the critical state soil mechanics, the model proposed the non-linear failure envelope for the cement treated clay to merge with the critical state line (CSL) of the un-reinforced clay when the reinforced samples reach a sufficiently high stress levels. Moreover, a modified mean effective stress was proposed to include the contribution of cementation and its cementation degradation. Furthermore, the proposed model was evaluated by comparing the proposed model predictions against the Singapore clay treated with 10% cement available from the literature. The validation suggested that the proposed model can be used to predict the behaviour of cement treated clay very well.
Nguyen, LD, Duong, TQ, Nguyen, DN & Tran, L-N 1970, 'Energy efficiency maximization for heterogeneous networks: A joint linear precoder design and small-cell switching-off approach', 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), IEEE, Washington DC, pp. 718-722.
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© 2016 IEEE. In this paper, we consider a multiuser multiple-input multipleoutput (MU-MIMO) heterogeneous network (HetNet) in which a macro base station (MBS) and multiple small-cells (SCs) coexist to serve multiple user terminals. We propose a joint linear precoder design problem to maximize the energy efficiency of the considered network. To tackle the cross-tier interference in the HetNets, we exploit zero-forcing precoding where the interference at the users is cancelled out by block diagonalization scheme. A novel group sparsity promoted as group Lasso is proposed using the weighted norm minimization, where the group sparsity pattern indicates those SCs that can be switched off and non-associated users. Simulation results show that the proposed algorithm outperforms many existing algorithms in terms of the total energy efficiency in the HetNets.
Nguyen, LTN, Eager, D & Nguyen, HT 1970, 'Effect of Wearing Whole Body Compression Garments on Cardiovascular Function using ECG Signals', Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, ACTAPRESS, Zurich, Switzerland, pp. 24-29.
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The purpose of this study was to examine the effects of wearing whole body compression garments (WBCGs) on cardiovascular function of running trainers. Eight non-athletes (age: 25.1±3.8 years, height: 165.9±8.3 cm; weight: 61.4±13.7 kg) performed an incremental test followed by 30 minutes running on a treadmill, from 6 km.h-1 to 11 km.h-1 with correct size-compression garments (CCGs), undersize-compression garments (UCGs) and non-compression garments (NCGs). During the exercise, electrocardiogram (ECG) signals were collected between each completed speed by wearable sensors. There was a significant difference in heart rate (HR, p<0.05) between CCGs and NCGs from the velocity of 7km.h-1 onwards. Moreover, the group that wore UCGs has some significant effects on QT intervals and corrected QT at 10km.h-1 and 11km.h-1 (p<0.05). The utilization of WBCGs in a running test may influence the cardiovascular function of wearers. Based on the results of longer QTc, UCGs may cause an adverse effect on performance. Essentially, CCGs should be recommended for wearing during exercise due to the effects of lower HR.
Nguyen, QV, Fatahi, B & Hokmabadi, AS 1970, 'Influence of Shallow Foundation Characteristics on the Seismic Response of Mid-Rise Buildings Subjected to Strong Earthquakes', Geotechnical Special Publication, GeoChina International Conference, American Society of Civil Engineers, Shandong, China, pp. 117-124.
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Performance based seismic design is a modern approach to earthquake-resistant design shifting emphasis from 'strength' to 'performance'. In this study, the influence of the shallow foundation (footing) size on the seismic performance of the buildings subjected to strong earthquakes is investigated considering soil-structure interaction (SSI). A fifteen storey moment resisting frame sitting on shallow foundation over soft soil with different foundation size is simulated numerically using ABAQUS software. The developed three dimensional numerical simulation accounts for nonlinear behaviour of the soil medium by considering the variation of soil stiffness and damping as a function of developed shear strain in the soil elements during earthquake. Elastic-perfectly plastic model is adopted to simulate foundations and structural elements. Four strong earthquake records, including El Centro 1940, Hachinohe 1968, Northridge 1994, and Kobe 1995 have been taken as input accelerations for time history analysis in time domain. Due to natural period lengthening, there was a significant reduction in the base shears when the size of the foundation was reduced. It can be concluded that the foundation size can influence the dynamic characteristics and seismic response of the building due to SSI and should therefore be given careful consideration in order to ensure a safe and cost effective seismic design.
Nguyen, T, Eager, D & Nguyen, H 1970, 'The effect of compression garments on wearers using biosensors', Barton, A.C.T. Engineers Australia, 2016, Australian Biomedical Engineering Conference, Australian Biomedical Engineering, Australia.
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Wearable sensors, especially biosensors, are playing an important role in healthcare, security, environmental monitoring domains and fitness [6]. Many researchers have demonstrated the benefit of compression garments in sports performance [1, 5]. However, there is insufficient evidence to support the reasons for this improved performance [4]. This paper aims to determine the effects of whole body compression garments (whole body-CGs) on cardiovascular function of human subjects using biosensors. Methods: Eight non-athletes (age: 25.1±3.8 years, height: 165.9±8.3 cm; weight: 61.4±13.7 kg), including five men and three women, volunteered for three random sessions. Undersize-compression garments (undersize-CGs), correct size compression garments (correct size-CGs) and a control garment (non-CGs) respectively were used in these sessions. A running test was conducted starting at 6-km.h-1 and increasing by 1-km.h-1 per two minutes on a treadmill. ECG signals were monitored using Lead II-position during the test. Subjects paused for 90 seconds after each designated speed for data collection. Each session was performed on a separate day. The trial has been approved by the University of Technology Sydney Human Ethics Committee. ECG signals were analyzed to determine the statistically significant difference using t-test in Matlab (p<0.05). Results: Compared to the non-CGs case, the correct size-CGs demonstrated a statistically significantly lower heart rate (HR) when reaching the speed of 7 km.h-1 and above until 11 km.h-1 (p<0.05). Compared with non-CG, in the group using undersize-CGs, there was significantly longer QTc at 10-km.h-1 and 11-km.h-1 (p<0.05). Conclusion: This study indicated that whole body-CGs had affected the cardiovascular function of non-athletes. As undersize-CGs may cause adverse effects due to longer QTc [3], correct size-CGs have a positive effect relating to lower HR [2]. Correct size compression garments should be recommended as a prac...
Nguyen, T, Hoang, D & Seneviratne, A 1970, 'Challenge-response trust assessment model for personal space IoT', 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), IEEE, Australia.
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© 2016 IEEE. Internet of Things (IoT) embraces the interconnection of identifiable devices that are capable of providing services through their cooperation. The cooperation among devices in such an IoT environment often requires reliable and trusted participating members in order to provide useful services to the end user. Consequently, an IoT environment or space needs to evaluate the trust levels of all devices in contact before admitting them as members of the space. Existing trust evaluation models are based on resources such as historical observations or recommendations information to evaluate the trust level of a device. However, these methods fail if there is no existing trust resource. This paper introduces a specific IoT environment called personal space IoT and proposes a novel trust evaluation model that performs a challenge-response trust assessment to evaluate the trust level of a device before allowing it to participate in the space. This novel challenge-response trust assessment model does not require the historical observation or previous encounter with the device or any existing trusted recommendation. The proposed challenge-response trust assessment model provides a reliable trust resource that can be used along with other resources such as direct trust, recommendation trust to get a comprehensive trust opinion on a specific device. It can also be considered as a new method for evaluating the trust value on a device.
Nguyen, T, Indraratna, B & Rujikiatkamjorn, C 1970, 'Natural prefabricated vertical drain-Structure and Geohydraulic properties', In Proceedings of the 3rd International Conference on 'Geotechnics for Sustainable Infrastructure Development (GEOTEC), Hanoi.
Nguyen, TT, Indraratna, B & Rujikiatkamjorn, C 1970, 'An analytical evaluation of radial consolidation with respect to drain degradation', International Conference on Geotechnique, Construction Materials and Environment, Bangkok, Thailand, pp. 156-161.
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The use of synthetic prefabricated vertical drains over the past decades for soil improvement has had a negative ecological effect on the natural environment due to their long-term existence in soil. The emergence in recent years of Natural Fibre Drains (NFDs) made from biodegradable materials such as jute, coir, and straw isbelieved to be an environmentally friendly approach to treating soft soil. However, when subjected to adverseconditions such as pyritic acidic and/or biologically active soil, natural fibres can decay rapidly, and that resultsin a significant deterioration of the engineering characteristics of drains during consolidation. This deterioration can particularly reduce the discharge capacity of the drains, which retards the dissipation of excess pore pressure and delays consolidation. This paper represents an analytical method which can capture the effect that drain degradation has on the radial consolidation of soil over time, and then applies this method to an exponential reduction of drain discharge capacity. This analytical method, with supporting evidence from experimental data, reveals that there is a significant retardation in excess pore pressure dissipation due to drain degradation. The study indicates there is a potential risk when using NFDs in adverse soils and suggests that caution is needed in practice.
Nguyen, TTS & Lu, H 1970, 'Domain Ontology Construction Using Web Usage Data', Proceedings of AI 2016: Advances in Artificial Intelligence (LNCS), Australasian Joint Conference on Artificial Intelligence, Springer International Publishing, Hobart, Australia, pp. 338-344.
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© Springer International Publishing AG 2016.Ontologies play an important role in conceptual model design and the development of machine-readable knowledge bases. They can be used to represent various knowledge not only about content concepts, but also explicit and implicit relations. While ontologies exist for many application domains of websites, the implicit relations between domain and accessed Web-pages might be less concerned and unclear. These relations are crucial for Web-page recommendation in recommender systems. This paper presents a novel method developing an ontology of Web-pages mapped to domain knowledge. It will focus on solutions of semi-automating ontology construction using Web usage data. An experiment of Microsoft Web data is implemented and evaluated.
Nie, L, Jiang, D, Guo, L, Yu, S & Song, H 1970, 'Traffic Matrix Prediction and Estimation Based on Deep Learning for Data Center Networks', 2016 IEEE Globecom Workshops (GC Wkshps), 2016 IEEE Globecom Workshops (GC Wkshps), IEEE.
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© 2016 IEEE. Network traffic analysis is a crucial technique for systematically operating a data center network. Many network management functions rely on exact network traffic information. Although a great number of works to obtain network traffic have been carried out in traditional ISP networks, they cannot be employed effectively in data center networks. Motivated by that, we focus on the problem of network traffic prediction and estimation in data center networks. We involve deep learning techniques in the network traffic prediction and estimation fields, and propose two deep architectures for network traffic prediction and estimation, respectively. We first use a deep architecture to explore the time-varying property of network traffic in a data center network, and then propose a novel network traffic prediction approach based on a deep belief network and a logistic regression model. Meanwhile, to deal with the highly ill-pose property of network traffic estimation, we further propose a network traffic estimation method using the deep belief network trained by link counts. We validate the effectiveness of our methodologies by real traffic data.
Nimbalkar, S & Indraratna, B 1970, 'In-situ performance assessment of ballasted railway track stabilised using geosynthetics and shock mats', Proceedings of the 5th International Conference on Geotechnical and Geophysical Site Characterisation, ISC 2016, International Conference on Geotechnical and Geophysical Site Characterisation, Australian Geomachanics Society, Gold Coast, pp. 1411-1416.
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In Australia, ballasted railway tracks are one of major modes of transportation. The main objectives of Australian railways are to cater for the demands of the supply chain in the mining and agriculture sectors, as well as to provide quicker and cost effective commuter transport in urban areas. However several geotechnical problems in the populated coastal areas pose significant issues. Ballasted tracks are conventionally constructed on compacted granular embankments overlying the natural subsoil. The granular embankments comprises of ballast and capping layers which undergo substantial deformations and degradation under the heavy cyclic loading of passenger and freight trains. This in turn, may lead to a loss of track geometry, and require costly frequent maintenance. In order to rectify these issues, appropriate stabilization techniques for ballast and capping are necessary, the extent of which depends also on the type of subgrade. When appropriately designed and installed, synthetic inclusions such as geosynthetics and/or shock mats can provide a cost effective alternatives to traditional techniques of ground improvement. Comprehensive field trials were carried out on two railway networks in Bulli and Singleton in New South Wales, Australia. In these studies, several track sections were instrumented with precise sensors for real-time monitoring of stress-deformation response of granular embankments. Different types of geosynthetics were placed beneath the ballast embankment. Recoverable and irrecoverable components of vertical deformations of the track substructure were routinely monitored. The amount of ballast breakage was evaluated by collecting samples from the field and by performing sieve analysis in the laboratory. It was evident that geosynthetics in the form of geogrids can decrease the vertical strains of the ballast layer, resulting in reduced maintenance costs. This paper describes the comprehensive field instrumentation, site geology, co...
Nimbalkar, S, Indraratna, B & Mahdi Biabani, M 1970, 'Deformation and Degradation of Railroad Granular Layers under High Frequency Cyclic Loading and the Benefits of Using Geosynthetics', Geo-Chicago 2016, Geo-Chicago 2016, American Society of Civil Engineers, Chicago, Illinois, United States, pp. 222-232.
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The granular media (i.e., ballast and sub-ballast) used in ballasted rail tracks undergo large deformations along with particle breakage when subjected to cyclic loads exerted by heavy and fast trains. The deformation and degradation of such granular layers severely affects track geometry and results into increased maintenance costs. The use of artificial inclusions in planar (geogrid, geotextile, and geocomposite) as well as three-dimensional form (geocell) is essential to curtail such costs and improve track stability. A series of cyclic drained triaxial tests were conducted using large-scale prismoidal process simulation apparatus designed and built at the University of Wollongong. Effects of external confining pressure, frequency, and number of load cycles were investigated. The test results showed that large deformation and degradation of ballast was imminent under high frequency cyclic loading. It was also shown that settlement of the ballast and sub-ballast can be reduced significantly employing geocomposites and geocells, respectively. The results revealed the effectiveness of the geocell, when they are used at low confinement and higher frequencies. This paper provides an insight to cyclic behavior of railroad granular substructure and demonstrates the role of confinement induced through the use of artificial inclusions.
Niu, J & Yu, S 1970, 'Message from the Program Chairs of CSCloud 2016', 2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud), 2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud), IEEE, p. xi.
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Nöhring, F, Krebs, M, Pöschel, F & Deuse, J 1970, 'Practical teaching concept for the development of time management competence with IT systems from dmc-ortim and SAP', Multikonferenz Wirtschaftsinformatik, MKWI 2016, pp. 775-786.
Nurhanim, K, Elamvazuthi, I, Izhar, LI, Ganesan, T & Su, SW 1970, 'Development of a model for sEMG based joint-torque estimation using Swarm techniques', 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA), 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA), IEEE, Ipoh, Malaysia, pp. 1-6.
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Over the years, numerous researchers have explored the relationship between surface electromyography (sEMG) signal with joint torque that would be useful to develop a suitable controller for rehabilitation robot. This research focuses on the transformation of sEMG signal by adopting a mathematical model to find the estimated joint torque of knee extension. Swarm techniques such as Particle Swarm Optimization (PSO) and Improved Particle Swarm Optimization (IPSO) were adapted to optimize the mathematical model for estimated joint torque. The correlation between the estimated joint torque and actual joint torque were determined by Coefficient of Determination (R2) and fitness value of Sum Squared Error (SSE). The outcome of the research shows that both the PSO and IPSO have yielded promising results.
Ochoa, EA, Castro, EL, Lindahl, JMM & Lafuente, AMG 1970, 'Forgotten effects and heavy moving averages in exchange rate forecasting', 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Athens, Greece, pp. 1-7.
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© 2016 IEEE. This paper presents the results of using experton, forgotten effects and heavy moving averages operators in three traditional models based purchasing power parity (PPP) model to forecast exchange rate. Therefore, the use of these methods is to improve the forecast error under scenarios of volatility and uncertainty, such as the financial markets and more precise in exchange rate. The heavy ordered weighted moving average weighted average (HOWMAWA) operator is introduced. This new operator includes the weighted average in the usual heavy ordered weighted moving average (HOWMA) operator, considering a degree of importance for each concept that includes the operator. The use of experton and forgotten effects methodology represents the information of the experts in the field and with that information were obtained hidden variables or second degree relations. The results show that the inclusion of the forgotten effects and heavy moving average operators improve our results and reduce the forecast error.
Oldham, KM, Chung, PWH, Edirisinghe, EA & Halkon, BJ 1970, 'Table tennis and computer vision: a monocular event classifier', Advances in Intelligent Systems and Computing, 10th International Symposium on Computer Science in Sports (ISCSS), Springer International Publishing, Loughborough, ENGLAND, pp. 29-32.
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© Springer International Publishing Switzerland 2016. Detecting events in table tennis using monocular video sequences for match-play officiating is challenging. Here a low-cost monocular video installation generates image sequences and, using the Horn-Schunck Optical Flow algorithm, ball detection and location processing captures sudden changes in the ball’s motion. It is demonstrated that each abrupt change corresponds to a distinct event pattern described by its combined velocity, acceleration and bearing. Component motion threshold values are determined from the analysis of a range of table tennis event video sequences. The novel event classifier reviews change in motion data against these thresholds, for use in a rules based officiating decision support system. Experimental results using this method demonstrate an event classification success rate of 95.9%.
Orth, D & van den Hoven, E 1970, ''I wouldn't choose that key ring; it's not me'', Proceedings of the 28th Australian Conference on Computer-Human Interaction - OzCHI '16, the 28th Australian Conference, ACM Press, Launceston, Tasmania.
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We each possess certain objects that are dear to us for a
variety of reasons. They can be sentimental to us, bring us
delight through their use or empower us. Throughout our
lives, we use these cherished possessions to reaffirm who
we are, who we were and who we wish to become. To
explore this, we conducted a design study that asked ten
participants to consider their emotional attachment
towards and the identity-relevance of cherished and newly
introduced possessions. Participants were then asked to
elaborate on their responses in interviews. Through a
thematic analysis of these responses, we found that the
emotional significance of possessions was reportedly
influenced by both their relevance to selfhood and position
within a life story. We use these findings to discuss how
the design of new products and systems can promote
emotional attachment by holding a multitude of
emotionally significant meanings to their owners.
Owen, R 1970, 'The global pathway to 5G', RadComms 2016, Sydney, Australia.
Pal, S, Alaei, A, Pal, U & Blumenstein, M 1970, 'Performance of an Off-Line Signature Verification Method Based on Texture Features on a Large Indic-Script Signature Dataset', 2016 12th IAPR Workshop on Document Analysis Systems (DAS), 2016 12th IAPR Workshop on Document Analysis Systems (DAS), IEEE, Santorini, Italy, pp. 72-77.
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© 2016 IEEE. In this paper, a signature verification method based on texture features involving off-line signatures written in two different Indian scripts is proposed. Both Local Binary Patterns (LBP) and Uniform Local Binary Patterns (ULBP), as powerful texture feature extraction techniques, are used for characterizing off-line signatures. The Nearest Neighbour (NN) technique is considered as the similarity metric for signature verification in the proposed method. To evaluate the proposed verification approach, a large Bangla and Hindi off-line signature dataset (BHSig260) comprising 6240 (260×24) genuine signatures and 7800 (260×30) skilled forgeries was introduced and further used for experimentation. We further used the GPDS-100 signature dataset for a comparison. The experiments were conducted, and the verification accuracies were separately computed for the LBP and ULBP texture features. There were no remarkable changes in the results obtained applying the LBP and ULBP features for verification when the BHSig260 and GPDS-100 signature datasets were used for experimentation.
Pan, C, Liu, B, Zhou, H & Gui, L 1970, 'Multi-path routing for video streaming in multi-radio multi-channel wireless mesh networks', 2016 IEEE International Conference on Communications (ICC), ICC 2016 - 2016 IEEE International Conference on Communications, IEEE.
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© 2016 IEEE. Multi-radio multi-channel (MRMC) is a promising approach to relieve the overload caused by the explosive growth of video streaming traffic in wireless mesh networks (WMNs). Previous studies have shown that in MRMC WMNs, network capacity can be increased significantly by proper design of channel assignment and routing algorithm. Multi-path routing can make good use of the network capacity improvement of MRMC WMNs. Multi-path routing has been applied in wired and wireless networks for load balancing or congestion control. However, it remains a challenge in MRMC WMNs. In this paper, we first discuss how to find multiple high-quality paths from source to destination while considering the interference between each other. Then we focus on the rate allocation among multiple paths and formulate it as a max-min problem which can be transformed to a linear programming (LP) problem. Finally, we propose a joint multi-path discovery and rate allocation algorithm. We evaluate this algorithm through simulations. Results show that our algorithm not only increases the network capacity, but also keeps the average end-to-end delay over all video streaming sessions at a low level.
Panahian, M, Ding, G & Ghosh, S 1970, 'Measuring Sustainability Performance For A Multiunit Residential Development Case Study In Sydney', Conference Proceedings AUBEA 2016, Australian Universities Building Education Association Annual Conference, Central Queensland University, Cairns, Australia, pp. 647-659.
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Multiunit residential development numbers are on the rise close to SydneyCentral Business District (CBD) as more people are choosing to live inapartments. Energy efficiency and water savings in these developmentsare significantly important to develop sustainable communities of future.This paper selects and examines a large multi-dwelling residential estatecase study in an eastern suburb of Sydney, located approximately withineight kilometres radial distance from Sydney’s CBD. Based on theelectricity and water usage data, current electricity consumption forcommon areas and water usage for gardens are estimated. Three keysustainable options examined are: potential onsite renewable electricitygeneration from roof solar PV installation; techniques for reducingswimming pool heat loss and to maintain year wide adequate watertemperature and roof rainwater harvesting potential. Associated costs areexamined to comprehend useful energy and water efficient solutions.Recommendations suggest that solar PV installation, using an appropriateswimming pool cover and rain rainwater collection from the roof couldmeaningfully improve overall sustainability performance of the selectedcase study.
Pang, G, Cao, L & Chen, L 1970, 'Outlier detection in complex categorical data by modelling the feature value couplings', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence (IJCAI), AAAI Press, New York, pp. 1902-1908.
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This paper introduces a novel unsupervised outlier detection method, namely Coupled Biased Random Walks (CBRW), for identifying outliers in categorical data with diversified frequency distributions and many noisy features. Existing pattern-based outlier detection methods are ineffective in handling such complex scenarios, as they misfit such data. CBRW estimates outlier scores of feature values by modelling feature value level couplings, which carry intrinsic data characteristics, via biased random walks to handle this complex data. The outlier scores of feature values can either measure the outlierness of an object or facilitate the existing methods as a feature weighting and selection indicator. Substantial experiments show that CBRW can not only detect outliers in complex data significantly better than the state-of-the-art methods, but also greatly improve the performance of existing methods on data sets with many noisy features.
Pang, G, Cao, L, Chen, L & Liu, H 1970, 'Unsupervised Feature Selection for Outlier Detection by Modelling Hierarchical Value-Feature Couplings', 2016 IEEE 16th International Conference on Data Mining (ICDM), 2016 IEEE 16th International Conference on Data Mining (ICDM), IEEE, Barcelona, pp. 410-419.
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© 2016 IEEE. Proper feature selection for unsupervised outlier detection can improve detection performance but is very challenging due to complex feature interactions, the mixture of relevant features with noisy/redundant features in imbalanced data, and the unavailability of class labels. Little work has been done on this challenge. This paper proposes a novel Coupled Unsupervised Feature Selection framework (CUFS for short) to filter out noisy or redundant features for subsequent outlier detection in categorical data. CUFS quantifies the outlierness (or relevance) of features by learning and integrating both the feature value couplings and feature couplings. Such value-To-feature couplings capture intrinsic data characteristics and distinguish relevant features from those noisy/redundant features. CUFS is further instantiated into a parameter-free Dense Subgraph-based Feature Selection method, called DSFS. We prove that DSFS retains a 2-Approximation feature subset to the optimal subset. Extensive evaluation results on 15 real-world data sets show that DSFS obtains an average 48% feature reduction rate, and enables three different types of pattern-based outlier detection methods to achieve substantially better AUC improvements and/or perform orders of magnitude faster than on the original feature set. Compared to its feature selection contender, on average, all three DSFS-based detectors achieve more than 20% AUC improvement.
Parnell, J 1970, 'Are cumulative noise criteria relevant for the assessment of mining noise?', 2nd Australasian Acoustical Societies Conference, ACOUSTICS 2016, pp. 642-650.
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The NSW Department of Planning and Environment undertakes a significant amount of research into the noise generated by open cut coal mines in order to build the knowledge base and to assist industry and regulators better manage these impacts, both individually and cumulatively. The present paper considers a range of simplified theoretical scenarios as well as examining two empirical studies that were undertaken by the Department to investigate cumulative noise impacts of coal mining activities. Together, these works have been used to test a hypothesis as to whether absolute criteria, or relative criteria (as determined by the NSW Industrial Noise Policy) is the controlling criterion in regulating noise from these premises. Empirical data were collected under a range of meteorological conditions designed to align with 'worst case' scenarios for the propagation of noise and also allowed estimations of individual mine contributions to the overall noise catchments to be made. The conclusion of the present paper is that due to the geographical size of mines, the relative criteria will be the controlling criterion, and attempts to apply the absolute criteria are unnecessary where the relative criterion of surrounding mines is 40 dB(A) or less.
Pathirage, U & Indraratna, B 1970, 'A Permeable Reactive Barrier Installed in Acid Sulfate Soil Terrain', Geo-Chicago 2016, Geo-Chicago 2016, American Society of Civil Engineers, Chicago, IL, pp. 319-328.
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Patten, T, Fitch, R & Sukkarieh, S 1970, 'Multi-robot coverage planning with resource constraints for horticulture applications', Acta Horticulturae, International Horticultural Congress on Horticulture, International Society for Horticultural Science (ISHS), Brisbane, Australia, pp. 655-662.
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A multi-robot system is a team of autonomous robots that work together to perform a given task. Multi-robot systems have great potential for use in horticulture applications. Robots have the potential to perform crop surveillance, efficiently apply fertiliser and chemical inputs, and perform weeding and harvesting. In all of these tasks, robots must visit many trees or plants over a large area in a time-sensitive manner. Multi-robot systems are appropriate because many robots can work efficiently in parallel. However, a fundamental challenge to be addressed is how to coordinate the motion of many robots while also respecting resource constraints such as limited energy storage, liquid payload, and harvested product storage. The algorithmic problem of multi-robot coverage planning with resource constraints is similar to the NP-hard vehicle routing problem, but the computational complexity of general resource-constrained coverage remains unknown. We show that one variant of this problem, coverage with fixed replenishment stations and zero queuing time, can be solved in polynomial time using area partitioning and graph search. We present algorithms and analysis for this variant, and demonstrate the behaviour of our algorithms in simulation experiments with up to 100 robots. The robots cover a large area organised as a collection of sub-areas with defined boundaries and row orientations. Robots plan to visit one of several possible replenishment stations in order to satisfy resource constraints. Each robot may replenish itself multiple times throughout its mission. This work is practically applicable to systems where refill time is short relative to working time.
Paul, G, Liu, L & Liu, D 1970, 'A novel approach to steel rivet detection in poorly illuminated steel structural environments', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE, Phuket, Thailand.
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© 2016 IEEE. It is becoming increasingly achievable for steel bridge structures, which are normally both inaccessible and hazardous for humans, to be inspected and maintained by autonomous robots. Steel bridges have been traditionally constructed by securing plate members together with rivets. However, rivets present a challenge for robots both in terms of cleaning and surface traversal. This paper presents a novel approach to RGB-D image and point cloud analysis that enables rivets to be rapidly and robustly located using low cost, non-contact sensing devices that can be easily affixed to a robot. The approach performs classification based on: (a) high-intensity blobs in color images, (b) the non-linear perturbations in depth images, and (c) surface normal clusters in 3D point clouds. The predicted rivet locations from the three classifiers are combined using a probabilistic occupancy mapping technique. Experiments are conducted in several different lab and real-world steel bridge environments, where there is no external lighting infrastructure, and the sensors are attached to a mobile platform, i.e. a climbing inspection robot. The location of rivets within 2m of the robot can be robustly located within 10mm of their correct location. The state of voxels can be predicted with above 95% accuracy, in approximately 1 second per frame.
Peng, F, Lu, X, Lu, J, Xu, RY-D, Luo, C, Ma, C & Yang, J 1970, 'MetricRec: Metric Learning for Cold-Start Recommendations', Advanced Data Mining and Applications (LNAI), International Conference on Advanced Data Mining and Applications, Springer International Publishing, Gold Coast, QLD, Australia, pp. 445-458.
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© Springer International Publishing AG 2016.Making recommendations for new users is a challenging task of cold-start recommendations due to the absence of historical ratings. When the attributes of users are available, such as age, occupation and gender, then new users’ preference can be inferred. Inspired by the user based collaborative filtering in warm-start scenario, we propose using the similarity on attributes to conduct recommendations for new users. Two basic similarity metrics, cosine and Jaccard, are evaluated for cold-start. We also propose a novel recommendation model, MetricRec, that learns an interest-derived metric such that the users with similar interests are close to each other in the attribute space. As the MetricRec’s feasible area is conic, we propose an efficient Interior-point Stochastic Gradient Descent (ISGD) method to optimize it. During the optimizing process, the metric is always guaranteed in the feasible area. Owing to the stochastic strategy, ISGD possesses scalability. Finally, the proposed models are assessed on two movie datasets, Movielens-100K and Movielens-1M. Experimental results demonstrate that MetricRec can effectively learn the interest-derived metric that is superior to cosine and Jaccard, and solve the cold-start problem effectively.
Pham, M & Hoang, DB 1970, 'SDN applications - The intent-based Northbound Interface realisation for extended applications', 2016 IEEE NetSoft Conference and Workshops (NetSoft), 2016 IEEE NetSoft Conference and Workshops (NetSoft), IEEE, Seoul, South Korea, pp. 372-377.
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© 2016 IEEE.The Northbound Interface (NBI) plays a crucial role in promoting the adoption of SDN as it allows developers the freedom of developing their revenue-generating applications without being affected and constrained by the complexities of the underlying networks. To do so the NBI has to allow applications to express their requirements and constraints in their own application specific language, and the SDN controller to translate those requirements into SDN network specific language for provisioning network resources and services to satisfy the application requirements. The intent-based NBI is born from this consideration and the Open Networking Foundation (ONF) provides principles and guidelines to build such an intent-based NBI. However, these principles do not lend themselves readily to the design and practical realization of an intent-based NBI for extended classes of business-like network applications. This paper introduces a solution and its initial implementation in the form of a novel architecture for realizing the intent-based NBI. The new solution exploits the modularized and reuse features of the micro services and service oriented architectures.
Pham, TT, Nguyen, DN, Dutkiewicz, E, McEwan, AL, Thamrin, C, Robinson, PD & Leong, PHW 1970, 'Feature Engineering and Supervised Learning Classifiers for Respiratory Artefact Removal in Lung Function Tests', 2016 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2016 - 2016 IEEE Global Communications Conference, IEEE, Washington D, US, pp. 1-6.
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A critical task in forced oscillation technique (FOT), a promising lung function test, is to remove respiratory artefacts. Manual removal by specialists is widely used but time- consuming and subjective. Most existing automated techniques have involved simple thresholding methods in an unsupervised manner. Breath cycles can be classified by a binary classification model (classes: artefactual and accepted). While attempting to use off-the-shelf sorting algorithms (e.g., one-class support vector machine, knearest neighbours, and adaptive boosting ensemble), we noticed their poor detection performance. This may result from the dependence of samples as found in physiological studies of the lung function that challenges the learning process. Specifically, statistics of breaths that we recorded may change from one to another patient and even within the same recording of a patient. We introduce an additional feature engineering step that is an intermediate module to decorrelate samples, called feature learning (using Wilcoxon signed rank tests). To that end, we collected FOT recordings from various groups of patients (paediatric and adult including healthy and asthmatics). Artefacts in this work were recorded naturally and processed in a complete-breath approach. Performance metrics include evaluations on preservation of 'accepted' breaths in the filtered output (including F1- score, throughput, and approval rate). Our experiment found that our feature engineering steps significantly improve the artefact removal performance of all implemented classifiers especially with feature inputs selected by mutual information criterion.
Phan, TT, Nguyen, VL, Hossain, MJ, To, AN & Tran, HT 1970, 'An Unified Iterative Algorithm for Load Flow Analysis of Power System Including Wind Farms', 2016 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND APPLICATIONS (ACOMP), International Conference on Advanced Computing and Applications (ACOMP), IEEE, Can Tho Univ Technol, Can Tho City, VIETNAM, pp. 105-112.
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Phan, TT, Nguyen, VL, Hossain, MJ, To, AN & Tran, HT 1970, 'An Unified Iterative Algorithm for Load Flow Analysis of Power System Including Wind Farms', 2016 International Conference on Advanced Computing and Applications (ACOMP), 2016 International Conference on Advanced Computing and Applications (ACOMP), IEEE, pp. 105-112.
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© 2016 IEEE. This paper presents a new power flow (PF) technique for distribution system including wind farms (WFs) with asynchronous generators (AGs) represented by RXv bus model using an unified iterative algorithm. With RXv bus model, AGs are supposed as RX load buses with their equivalent impedances and v is wind speed. In addition, it is assumed that wind speed is a known variable which combined with the AGs' impedance to become the RXv model. The paper proposes a highly efficient and accurate method which combines the slip variables corresponding to the AGs with the nodal voltage magnitudes and angles of the network in a single frame-of-reference for a unified iterative solution. The method retains Newton Raphson (NR) quadratic convergence characteristics. By considering characteristics of AGs, the RXv bus model is more suitable. To validate the proposed model, the modified IEEE 30-bus system with two connected WFs is used to represent wind generators in power flow analysis. Calculated results of load flow analysis program show that the proposed model and the unified calculating method are feasible and accurate.
Phan, TT, Nguyen, VL, Hossain, MJ, To, AN, Tran, HT & Phan, TN 1970, 'Transient Responses of the Doubly-Fed Induction Generator Wind Turbine under Grid Fault Conditions', 2016 International Conference on Advanced Computing and Applications (ACOMP), 2016 International Conference on Advanced Computing and Applications (ACOMP), IEEE, pp. 97-104.
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© 2016 IEEE. Doubly-fed induction generator (DFIG) wind turbine (WT) is an integrated part of distributed generation system. The use of DFIG in wind farms is growing rapidly because of its advantages in decoupled active and reactive power control. However, one of the main disadvantages of DFIG is that it is very sensitive to grid faults. To analysis dynamic behaviors of DFIG during grid faults, a model including wind wheel, wind speed, drive train, generator, and converters has been proposed. This paper examines the use of distribution static compensator (D-STATCOM) as a dynamic voltage restorer at the point of common coupling (PCC) to improve the grid fault ride-through (FRT) capability and thereby protecting system stability during disturbances. The simulation results illustrate the transient responses of DFIG when a sudden short circuit at PCC is introduced. Besides, the paper also shows detailed comparisons of the transient behaviors between DFIG and conventional induction generator wind turbine under grid fault conditions.
Phan, TT, Nguyen, VL, Hossain, MJ, To, AN, Tran, HT & Phan, TN 1970, 'Transient Responses of the Doubly-Fed Induction Generator Wind Turbine under Grid Fault Conditions', 2016 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND APPLICATIONS (ACOMP), International Conference on Advanced Computing and Applications (ACOMP), IEEE, VIETNAM, Can Tho Univ Technol, Can Tho City, pp. 97-104.
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Phoon, DK-H, Lehmann, T, Hamilton, TJ & Jenkins, J 1970, 'Hybrid dual-mode low voltage dropout regulator with infinite impulse response digital filters', 2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS), 2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS), IEEE, Florianopolis, BRAZIL, pp. 195-198.
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Phung, MD, Quach, CH, Chu, DT, Nguyen, NQ, Dinh, TH & Ha, QP 1970, 'Automatic interpretation of unordered point cloud data for UAV navigation in construction', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE, Phuket, Thailand, pp. 1-6.
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© 2016 IEEE. The objective of this work is to develop a data processing system that can automatically generate waypoints for navigation of an unmanned aerial vehicle (UAV) to inspect surfaces of structures like buildings and bridges. The input includes data recorded by two 2D laser scanners, orthogonally mounted on the UAV, and an inertial measurement unit (IMU). To achieve the goal, algorithms are developed to process the data collected. They are separated into three major groups: (i) the data registration and filtering to generate a 3D model of the structure and control the density of point clouds for data completeness enhancement; (ii) the surface and obstacle detection to assist the UAV in monitoring tasks; and (iii) the waypoint generation to set the flight path. Experiments on different data sets show that the developed system is able to reconstruct a 3D point cloud of the structure, extract its surfaces and objects, and generate waypoints for the UAV to accomplish inspection tasks.
Pickrell, M, Bongers, B & van den Hoven, E 1970, 'Understanding Changes in the Motivation of Stroke Patients Undergoing Rehabilitation in Hospital', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Persuasive Technology, Springer International Publishing, Salzburg, Austria, pp. 251-262.
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© Springer International Publishing Switzerland 2016. Stroke patient motivation can fluctuate during rehabilitation due to a range of factors. This study reports on qualitative research, consisting of observations of stroke patients undergoing rehabilitation and interviews with patients about the changes in motivation they identified during their time completing rehabilitation in the hospital. We found a range of positive and negative factors which affect motivation. Positive factors include improvements in patient movement and support from other patients and family members. Negative factors include pain and psychological issues such as changes in mood. From this fieldwork, a set of design guidelines has been developed to act as a platform for researchers and designers developing equipment for the rehabilitation of stroke patients.
Pilav-Velic, A & Marjanovic, O 1970, 'Business Process Management Practices in a Small Transition Economy: Current Status and Research Opportunities.', AMCIS, 22nd Americas Conference on Information Systems (AMCIS), Association for Information Systems, San Diego, CA.
Pileggi, SF 1970, 'A Privacy-Friendly Model for an Efficient and Effective Activity Scheduling Inside Dynamic Virtual Organizations', COLLABORATIVE COMPUTING: NETWORKING, APPLICATIONS, AND WORKSHARING, COLLABORATECOM 2015, 11th EAI International Conference on Collaborative Computing - Networking, Applications and Worksharing, Springer International Publishing, Wuhan, PEOPLES R CHINA, pp. 303-308.
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Poostchi, H, Borzeshi, EZ, Abdous, M & Piccardi, M 1970, 'PersoNER: Persian named-entity recognition', COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers, International Conference on Computational Linguistics, COLING, Osaka, Japan, pp. 3381-3389.
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Named-Entity Recognition (NER) is still a challenging task for languages with low digital resources. The main difficulties arise from the scarcity of annotated corpora and the consequent problematic training of an effective NER pipeline. To abridge this gap, in this paper we target the Persian language that is spoken by a population of over a hundred million people world-wide. We first present and provide ArmanPerosNERCorpus, the first manually-annotated Persian NER corpus. Then, we introduce PersoNER, an NER pipeline for Persian that leverages a word embedding and a sequential max-margin classifier. The experimental results show that the proposed approach is capable of achieving interesting MUC7 and CoNNL scores while outperforming two alternatives based on a CRF and a recurrent neural network.
Popov, A, Fink, W, McGregor, C & Hess, A 1970, 'PHM for astronauts: Elaborating and refining the concept', 2016 IEEE Aerospace Conference, 2016 IEEE Aerospace Conference, IEEE, pp. 1-9.
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Clarifying and evolving the PHM for Astronauts concept, introduced in [1], this conceptual paper focuses on particular PHM-based solutions to bring Human Health and Performance (HH&P) technologies to the required technology readiness level (TRL) in order to mitigate the HH&P risks of manned space exploration missions. This paper discusses the particular PHM-based solutions for some HH&P technologies that are, namely by NASA designation, the Autonomous Medical Decision technology and the Integrated Biomedical Informatics technology. Both of the technologies are identified as essential ones in NASA's integrated technology roadmap for the Technology Area 06: Human Health, Life Support, and Habitation Systems. The proposed technology solutions are to bridge PHM, an engineering discipline, to HH&P domain in order to mitigate the risks by focusing on efforts to reduce countermeasure mass and volume and drive the risks down to an acceptable level. The Autonomous Medical Decision technology is based on wireless handheld devices and is a result of a paradigm shift from tele-medicine to that of health support autonomy. The Integrated Biomedical Informatics technology is based on Crew Electronic Health Records (CEHR) system with predictive diagnostics capability developed for crew members rather than for healthcare professionals. The paper explores the proposed PHM-based solutions on crew health maintenance in terms of predictive diagnostics providing early and actionable real-time warnings of impending health problems that otherwise would have gone undetected.
Pradhan, B 1970, 'A novel flood detection mapping using multi-temporal RADARSAT-2 and TerraSAR-X images through an optimized Taguchi based classification technique', 41st COSPAR Scientific Assembly, abstracts from the meeting that was to be held 30 July-7 August at the Istanbul Congress Center (ICC), Turkey, but was cancelled. See http://cospar2016. tubitak. gov. tr/en/, Abstract A3. 1-33-16..
Pradhan, B & Jena, R 1970, 'Spatial relationship between earthquakes, hot-springs and faults in Odisha, India', IOP Conference Series: Earth and Environmental Science, IOP Publishing, pp. 012070-012070.
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Pradhan, S, Gay, V & Nepal, S 1970, 'An innovative approach to derive trust from social networks and to improve the matching in dental care recommendation systems', Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings, Pacific Asia Conference on Information Systems, PACIS, Taiwan.
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Social trust has been gradually transitioned from face to face to online platforms due to the increasing engagement by the internet users in online social networks. This study looks at how this affects the way medical professionals, and dentists in particular, are recommended and chosen. Based on the literature, analysis of online dental reviews and a survey, it finds that subjective qualities of both dentists and patients are important aspects of the social trust. In order to analyse those qualities, this study introduces an innovative trust-based information model to evaluate those important subjective qualities. The model evaluates 4 trust components: context, relationship, reputation and personality analysis. Dentists and patients are profiled using this model and information extracted from social networks. Dentists are profiled using subjective qualities derived from online dental reviews and patients are profiled using subjective information such as level of dental fear and personality traits, collected from the survey with 580 participants. This paper provides an overview of dentists' profiles from online reviews and that of patients from the survey results, on a particular example as an illustration. The result of this study can be used to define a set of rules to improve the matching between patients and dentists in dental care recommendation systems.
Pradhan, S, Gay, V & Nepal, S 1970, 'Impact of subjective aspects in the matching of dentists and patients in dental care recommendation systems', 2016 International Conference on Information Systems, ICIS 2016, International Conference on Information Systems (ICIS), AISEL, Dublin, pp. 1-19.
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The recent growth of social media has impacted the way users are searching and sharing health information. Online review and rating websites, in particular, provide a support for patients to share their opinions. Yet, finding the right information can be a challenge, particularly when there is no consistency in the evaluation criteria across various sources. The invasive nature of many dental treatments highlights the importance of selecting a suitable trustworthy provider for dental patients. This study proposes a new trust-enhanced information model in which dentists and patients are profiled based on subjective information. Subjective aspects of dentists are extracted from dental crowd sources such as DrOogle and Yelp. Two matching algorithms are presented. They are based on 580 responses to an online survey. The subjective aspects of both patients and dentists are important factors which are incorporated to improve the matching capability of dental care recommendation systems.
Pradhan, S, Hawryszkiewycz & Agarwal, R 1970, 'A collaborative tool for enhancing Design Thinking', UTS Business Faculty L & T grant recipients presentation, Sydney.
Prior, J, Ferguson, S & Leaney, J 1970, 'Reflection is hard', Proceedings of the Australasian Computer Science Week Multiconference, ACSW '16: Australasian Computer Science Week, ACM, Canberra, Australia.
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We have observed that it is a non-trivial exercise for undergraduate students to learn how to reflect. Reflective practice is now recognised as important for software developers and has become a key part of software studios in universities, but there is limited empirical investigation into how best to teach and learn reflection. In the literature on reflection in software studios, there are many papers that claim that reflection in the studio is mandatory. However, there is inadequate guidance about teaching early stage students to reflect in that literature. The essence of the work presented in this paper is a beginning to the consideration of how the teaching of software development can best be combined with teaching reflective practice for early stage software development students. We started on a research programme to understand how to encourage students to learn to reflect. As we were unsure about teaching reflection, and we wished to change our teaching as we progressively understood better what to do, we chose action research as the most suitable approach. Within the action research cycles we used ethnography to understand what was happening with the students when they attempted to reflect. This paper reports on the first 4 semesters of research.
We have developed and tested a reflection model and process that provide scaffolding for students beginning to reflect. We have observed three patterns in how our students applied this process in writing their reflections, which we will use to further understand what will help them learn to reflect. We have also identified two themes, namely, motivation and intervention, which highlight where the challenges lie in teaching and learning reflection.
Punetha, P, Mohanty, P & Samanta, M 1970, 'Study on interface shear strength of soil -geosynthetics in large direct shear box', GA 2016 - 6th Asian Regional Conference on Geosynthetics: Geosynthetics for Infrastructure Development, Proceedings, pp. 345-356.
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Geosynthetics are widely used in the area of geotechnical engineering for soil-reinforcement, drainage, filtration, slope-stabilization, soil-foundation isolation etc. For the design of structures using geosynthetics, interface friction between soil and geosynthetic is the most important property because all other mechanical properties like tensile strength, thickness, modulus of elasticity etc. can be controlled during geosynthetic manufacturing process. Interface friction between soil-geosynthetic involves soil, which is a heterogeneous material and its behaviour depends on several factors. This paper presents and discusses the findings on interface shear strength of sand-geotextile and sand-geomembrane in direct sliding through a large direct shear box. The direct shear test results reveal that the interface frictional angle for sand-geomembrane interface is 22.5°while for the sand-geotextile interface, it is 32°. The microstructural study using FESEM helps in understanding the shearing mechanism at the interface to some extent.
Qi, J & Dah-Chuan Lu, D 1970, 'A control scheme combining state-of-charge balancing and voltage/current regulation for a distributed battery system based on fly-back converter', 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC), 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC), IEEE.
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© 2016 IEEE. This paper presents a control scheme combining SoC balancing and voltage/current regulation for a distributed battery system based on fly-back converters. In discharging operation, the proposed control scheme consists of two control loops. The first control loop is designed to regulate all battery terminal voltages to be identical, thus SoC imbalance issue is solved from the root. The other control loop is designed to regulate the output voltage. These two control objectives are combined into one system. In charging operation, the flyback converters are operated in discontinuous conduction mode (DCM). As a result, the charging power of each battery is identical. Therefore, SoC imbalance issue is avoided. The analysis of the control scheme and prototype validation based on flyback converters are provided to illustrate and demonstrate the proposed control scheme.
Qiao, M, Bian, W, Xu, RYD & Tao, D 1970, 'Diversified hidden Markov models for sequential labeling', 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 2016 IEEE 32nd International Conference on Data Engineering (ICDE), IEEE, Helsinki, FINLAND, pp. 1512-+.
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Qin, P-Y, Guo, YJ, Ji, L-Y & Wei, F 1970, 'A single-layer wideband reflectarray with sub-wavelength phase-shifting elements', 2016 IEEE International Symposium on Antennas and Propagation (APSURSI), 2016 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, IEEE, Puerto Rico, pp. 1415-1416.
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© 2016 IEEE. A single-layer wideband reflectarray antenna employing sub-wavelength phase-shifting elements is presented. The element is composed of double concentric square meander line rings and its size is a fifth of a wavelength. By changing the length of the meander line, a phase variation range of about 360° is achieved with an almost constant slop across the 9 to 11 GHz. Using this element, a 48 × 48 - element reflectarray antenna is designed. A measured 1.5-dB gain bandwidth of 18 % is achieved.
Quin, P, Paul, G, Alempijevic, A & Liu, D 1970, 'Exploring in 3D with a climbing robot: Selecting the next best base position on arbitrarily-oriented surfaces.', IROS, IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, Daejeon, Korea, pp. 5770-5775.
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© 2016 IEEE. This paper presents an approach for selecting the next best base position for a climbing robot so as to observe the highest information gain about the environment. The robot is capable of adhering to and moving along and transitioning to surfaces with arbitrary orientations. This approach samples known surfaces, and takes into account the robot kinematics, to generate a graph of valid attachment points from which the robot can either move to other positions or make observations of the environment. The information value of nodes in this graph are estimated and a variant of A∗ is used to traverse the graph and discover the most worthwhile node that is reachable by the robot. This approach is demonstrated in simulation and shown to allow a 7 degree-of-freedom inchworm-inspired climbing robot to move to positions in the environment from which new information can be gathered about the environment.
Quyen, NTH, Tung, KT, Hanh, LTM & Binh, NT 1970, 'Improving mutant generation for Simulink models using genetic algorithm', 2016 International Conference on Electronics, Information, and Communications (ICEIC), 2016 International Conference on Electronics, Information, and Communications (ICEIC), IEEE, Danang, VIETNAM.
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Radhakrishnan, M, Eswaran, S, Misra, A, Chander, D & Dasgupta, K 1970, 'IRIS: Tapping wearable sensing to capture in-store retail insights on shoppers', 2016 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2016 IEEE International Conference on Pervasive Computing and Communications (PerCom), IEEE.
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Radhakrishnan, M, Sen, S, Vigneshwaran S., Misra, A & Balan, R 1970, 'IoT+Small Data: Transforming in-store shopping analytics & services', 2016 8th International Conference on Communication Systems and Networks (COMSNETS), 2016 8th International Conference on Communication Systems and Networks (COMSNETS), IEEE.
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Rafeie, M, Zhang, J, Asadnia, M, Li, W & Warkiani, ME 1970, 'Multiplexing slanted spiral microchannels for ultra-fast blood plasma separation', 20th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2016, pp. 906-907.
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The ability to efficiently fractionate blood into its individual components is crucial for therapeutic and diagnostic purposes. Here, we developed an inertial microfluidic system for cell focusing and blood plasma separation. First, polystyrene beads and blood cells were used to investigate the inertial focusing performance of a single slanted spiral microchannel as a function of particle size, flow rate, and the haematocrit (HCT) concentration. Next, we built a high-throughput system consisted of 16 interconnected spiral channels which can process diluted samples at 24 mL/min. The proposed multiplexed system surmounts shortcomings of previously-reported microfluidic systems concerning throughput, yield and operation efficiency.
Rafi, FHM, Hossain, MJ, Rahman, MS & Lu, J 1970, 'Implementation of independent improved neutral current controller using four leg PV-VSI', 2016 Australasian Universities Power Engineering Conference (AUPEC), 2016 Australasian Universities Power Engineering Conference (AUPEC), IEEE, Brisbane, AUSTRALIA.
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Rahman, MM, Rahman, HY, Mahlia, TMI & Sheng, JLY 1970, 'Liquid cooled plate heat exchanger for battery cooling of an electric vehicle (EV)', IOP Conference Series: Earth and Environmental Science, 2nd International Conference on Advances in Renewable Energy and Technologies (ICARET), IOP Publishing, Putrajaya, MALAYSIA, pp. 012053-012053.
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Rahman, MS, Hossain, MJ, Md Rafi, FH & Lu, J 1970, 'A multi-purpose interlinking converter control for multiple hybrid AC/DC microgrid operations', 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), IEEE, Melbourne, AUSTRALIA, pp. 221-226.
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Rahman, MS, Hossain, MJ, Rafi, FHM & Lu, J 1970, 'EV charging in a commercial hybrid AC/DC microgrid: Configuration, control and impact analysis', 2016 Australasian Universities Power Engineering Conference (AUPEC), 2016 Australasian Universities Power Engineering Conference (AUPEC), IEEE, Brisbane, AUSTRALIA.
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Rajapaksha, T, Qiu, X, Cheng, E, Burnett, I & IEEE 1970, 'GEOMETRICAL ROOM GEOMETRY ESTIMATION FROM ROOM IMPULSE RESPONSES', 2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Shanghai, China, pp. 331-335.
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© 2016 IEEE. Room geometry estimation from corresponding Room Impulse Responses (RIRs) has attracted much attention in recent years, and a key challenge is to find the first order image source locations from the RIRs under different environments. Unlike the existing approaches which require a priori knowledge of the room or require some ideal conditions, this paper proposes an intuitive geometrical method based on the acoustical image source model. The proposed approach does not need any a priori knowledge of the room, only the RIRs from one arbitrary source location to five arbitrary receiving locations. The first order image sources of the walls in a room are identified first, then the room geometry is estimated based on the wall locations using a geometrical approach. Simulations with 2D and 3D convex polyhedral rooms demonstrate the feasibility and the precision of the proposed approach is discussed.
Ramezani, F, Naderpour, M & Lu, J 1970, 'A multi-objective optimization model for virtual machine mapping in cloud data centres', 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Vancouver, BC, Canada, pp. 1259-1265.
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© 2016 IEEE. Modern cloud computing environments exploit virtualization for efficient resource management to reduce computational cost and energy budget. Virtual machine (VM) migration is a technique that enables flexible resource allocation and increases the computation power and communication capability within cloud data centers. VM migration helps cloud providers to successfully achieve various resource management objectives such as load balancing, power management, fault tolerance, and system maintenance. However, the VM migration process can affect the performance of applications unless it is supported by smart optimization methods. This paper presents a multi-objective optimization model to address this issue. The objectives are to minimize power consumption, maximize resource utilization (or minimize idle resources), and minimize VM transfer time. Fuzzy particle swarm optimization (PSO), which improves the efficiency of conventional PSO by using fuzzy logic systems, is relied upon to solve the optimization problem. The model is implemented in a cloud simulator to investigate its performance, and the results verify the performance improvement of the proposed model.
Rana, MM, Li Li & Su, SW 1970, 'Cyber attack protection and control in microgrids using channel code and semidefinite programming', 2016 IEEE Power and Energy Society General Meeting (PESGM), 2016 IEEE Power and Energy Society General Meeting (PESGM), IEEE, USA.
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© 2016 IEEE. The smart grid has been considered as a nextgeneration power system to modernize the traditional grid to improve its security, connectivity and sustainability. Unfortunately, the grid is susceptible to malicious cyber attacks, which can create serious technical, economical and control problems in power network operations. In contrast to the traditional cyber attack minimization techniques, this paper proposes a recursive systematic convolutional (RSC) code and Kalman filter based method in the context of microgrids. Specifically, the proposed RSC code is used to add redundancy in the microgrid states, and the log maximum a posterior is used to recover the state information which is affected by random noises and cyber attacks. Once the estimated states are obtained, a semidefinite programming based optimal feedback controller is proposed to regulate the system states. Test results show that the proposed approach can accurately mitigate the cyber attacks and properly estimate and control the system states.
Rana, MM, Li, L & Su, SW 1970, 'Distributed condition monitoring of renewable microgrids using adaptive-then-combine algorithm', 2016 IEEE Power and Energy Society General Meeting (PESGM), 2016 IEEE Power and Energy Society General Meeting (PESGM), IEEE, USA.
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© 2016 IEEE. This paper explores the problem of distributed state estimation including packet losses for the environment-friendly renewable microgrid incorporating electricity generating circuits. The problem is becoming critical due to the global warming, increasing green house gas emissions, and practical infeasibility with computational burden of the large-scale centralized power system monitoring. To address the impending problem, a novel distributed microgrid state estimation algorithm is derived in the context of microgrids. Specifically, after modelling the microgrid, this paper proposes a local microgrid state estimation algorithm considering packet losses. Then a novel optimal weighting factor calculation method for the global state estimation is proposed. Particularly, it can automatically adjust the optimal weighting factors for different sensor measurements based on the observation quality, improving the estimation accuracy of the global estimation. Simulations show that the desired state estimation accuracy is achievable.
Rana, MM, Li, L & Su, SW 1970, 'Distributed dynamic state estimation considering renewable generation and packet losses', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE, Phuket, Thailand, pp. 1-6.
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© 2016 IEEE. The penetration of renewable distributed energy resources such as wind turbine has been dramatically integrated in distribution networks due to clean, sustainable, and economical green energy. Due to intermittent wind speed, the power generation patterns vary which can risk the distribution network operation. So, it is intrinsically required to monitor the wind turbines in a distributed way. This paper presents an adaptive-then-combine distributed dynamic approach for monitoring the grid under lossy communication link between the wind turbines and energy management system. Firstly, the wind turbine is represented by a state-space linear equation, with sensors deployed to obtain system state information. Based on the mean squared error principle, an adaptive approach is proposed to estimate the local state information. The global estimation is designed by combining estimation results with weighting factors which are calculated by minimizing estimation error covariance based on semi-definite programming. Finally, the convergence analysis indicates that estimation error is gradually decreased, so the estimated state converges to the actual state. The efficacy of the developed approach is verified using the turbine model. The research is valuable for green energy technologies, households and interconnected industrial information societies, and also provides the knowledge towards a smart and secure green energy future.
Rana, MM, Li, L & Su, SW 1970, 'Distributed dynamic state estimation over a lossy communication network with an application to smart grids', 2016 IEEE 55th Conference on Decision and Control (CDC), 2016 IEEE 55th Conference on Decision and Control (CDC), IEEE, Las Vegas, USA, pp. 6657-6662.
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© 2016 IEEE. In contrast to the traditional centralised power system state estimation methods, this paper investigates the interconnected optimal filtering problem for distributed dynamic state estimation considering packet losses. Specifically, the power system incorporating microgrids is modelled as a state-space linear equation where sensors are deployed to obtain measurements. Basically, the sensing information is transmitted to the energy management system through a lossy communication network where measurements are lost. As the system states are unavailable, so the estimation is essential to know the overall operating conditions of the electricity network. The proposed estimator is based on the mean squared error between the actual state and its estimate. To obtain the distributed estimation, the optimal local and neighbouring gains are computed to reach a consensus estimation after exchanging their information with the neighbouring estimators. Then the convergence of the developed algorithm is theoretically proved. Afterwards, a distributed controller is designed based on the semidefinite programming approach. Simulation results demonstrate the accuracy of the developed approaches under the condition of missing measurements.
Rana, MM, Li, L & Su, SW 1970, 'Microgrid protection and control through reliable smart grid communication systems', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE, Phuket, Thailand, pp. 1-6.
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© 2016 IEEE. Due to dramatically rising energy demand worldwide power system is often run near the operational and technical limits, where unexpected trivial disturbances can cause possibly massive blackouts. Cyber attacks on smart grid communication networks are one of the impending threats to cause large-scale cascading outage. In contrast to the traditional cyber attack protection techniques, this paper presents a recursive systematic convolutional code based defending technique from the signal processing perspective. This code introduces redundancy in the system for protecting the grid information. Furthermore, an optimal control law is designed to stabilize the power network. Specifically, the performance index for control is converted to a convex semidefinite programming problem. The proposed controller can work well for any initial values. The efficacy of the developed approach is verified through numerical simulations. Results show that the proposed strategy has stronger attack protection performance and the controller can stabilize the grid in a fairly short time. This approach provides a fundamental framework for the design of the smart grid energy management system and reliable communication infrastructure scheme with renewable integration applications.
Ranasinghe, R & Kodagoda, S 1970, 'Spatial prediction in mobile robotic wireless sensor networks with network constraints', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE, Phuket, Thailand.
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© 2016 IEEE. In recent years mobile robotic wireless sensor networks have been a popular choice for modelling spatial phenomena. This research is highly demanding and non-trivial due to challenges from both network and robotic aspects. In this paper, we address the spatial modelling of a physical phenomena with the network connectivity constraints while the mobile robots are striving to achieve the minimum modelling mismatch in terms of root mean square error (RMSE). We have resolved it through Gauss markov random field based approach which is a computationally efficient implementation of Gaussian processes. In this strategy, the Mobile Robotic Wireless Sensor Node (MRWSN) are centrally controlled to maintain the connectivity while minimizing the RMSE. Once the number of MRWSNs reach their maximum coverage, a new MRWSN is requested at the most informative location. The experimental results are convincing and they show the effectiveness of the algorithm.
Ranglund, OJ, Kionig, L, Holen, S, Vold, T, Venemyr, GO, Bakken, BT & Braun, R 1970, 'Using games for teaching crisis communication in higher education and training', 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), 2016 15th International Conference on Information Technology-Based Higher Education and Training (ITHET), IEEE, Istanbul, Turkey.
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© 2016 IEEE. Terror actions and catastrophes are frequently described in media. As more and more countries experience terror actions and natural disasters, there has been a greater focus on learning how to handle and to manage them. In Norway on the 22nd of July 2011, Anders Behring Breivik placed a bomb in a car that exploded near the Governmental Offices killing 8 persons. He went on to an island where there was a political camp for youths killing another 67. The rescue operations unveiled an unprepared task force. The Gjrv-report provide a massive critique towards the call out services [1]. This kicked off a major work on updating safety routines in all municipalities. The municipalities are now obliged to have a plan for crisis preparedness [2]. This again triggered the need for education within the area of crisis preparedness, crisis training and crisis management. Hedmark University of Applied Science now offers different study programs, including a BA within these areas. It is, however, very expensive to train realistically and the need for different approaches regarding training has been discussed. One of the solutions that the University is currently working on, is the use of games. Game based learning, also called 'serious games', has become an academic genre and using games for learning and training has proven fruitful [3-12]. In the military, games have been used for simulation purposes [13] and spin offs from these have also reached a commercial market [14, 15]. Using games in education opens up a range of opportunities. One of them is within the area of Crisis Communication. Crisis Communication as a curriculum is about how to approach the area of crisis communication, understanding the key concepts and develop skills within the curriculum. Games that support communication between the gamers can for instance contribute towards a greater understanding of communication in a crisis situation. What is needed to communicate and how messages are...
Rao, T, Xu, M, Liu, H, Wang, J & Burnett, I 1970, 'Multi-scale blocks based image emotion classification using multiple instance learning', 2016 IEEE International Conference on Image Processing (ICIP), 2016 IEEE International Conference on Image Processing (ICIP), IEEE, Phoenix, Arizona, USA.
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Emotional factors usually affect users' preferences for and evaluations of images. Although affective image analysis attracts increasing attention, there are still three major challenges remaining: 1) it is difficult to classify an image into a single emotion type since different regions within an image can represent different emotions; 2) there is a gap between low-level features and high-level emotions and 3) it is difficult to collect a training set of reliable emotional image content. To address these three issues, we propose an emotion classification method based on multi-scale blocks using Multiple Instance Learning (MIL). We firstly extract blocks of an image at multiple scales using different image segmentation methods pyramid segmentation and simple linear iterative clustering (SLIC) and represent each block using the bag-of-visual-words (BoVW) method. Then, to bridge the “affective gap”, probabilistic latent semantic analysis (pLSA) is employed to estimate the latent topic distribution as a mid-level representation of each block. Finally, MIL, which reduces the need for exact labelling, is employed to classify the dominant emotion type of the image. Experiments carried out on three widely used datasets demonstrate that our proposed method with S-LIC effectively improves the state-of-the-art results of image emotion classification 5.1% on average.
Reeks, C, Carmichael, MG, Dikai Liu & Waldron, KJ 1970, 'Angled sensor configuration capable of measuring tri-axial forces for pHRI', 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Stockholm, Sweden, pp. 3089-3094.
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© 2016 IEEE. This paper presents a new configuration for single axis tactile sensor arrays molded in rubber to enable tri-axial force measurement. The configuration requires the sensing axis of each sensor in the array to be rotated out of alignment with respect to external forces. This angled sensor array measures shear forces along axes in a way that is different to a planar sensor array. Three sensors using the angled configuration (22.5°, 45° and 67.5°) and a fourth sensor using the planar configuration (0°) have been fabricated for experimental comparison. Artificial neural networks were trained to interpret the external force applied along each axis (X, Y and Z) from raw pressure sensor values. The results show that the angled sensor configuration is capable of measuring tri-axial external forces with a root mean squared error of 1.79N, less error in comparison to the equivalent sensor utilizing the planar configuration (4.52N). The sensors are then implemented to control a robotic arm. Preliminary findings show angled sensor arrays to be a viable alternative to planar sensor arrays for shear force measurement; this has wide applications in physical Human Robot Interaction (pHRI).
Reid, W, Fitch, R, Goktogan, AH & Sukkarieh, S 1970, 'Motion Planning for ReconfigurableMobile Robots Using Hierarchical FastMarching Trees', Website proceedings of the 12th Workshop on the Algorithmic Foundations of Robotics, Workshop on the Algorithmic Foundations of Robotics (WAFR), WAFR, San Francisco, USA, pp. 1-16.
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Reconfigurable mobile robots are versatile platforms that may safely traverse cluttered environments by morphing their physical geometry. However, planning paths for these robots is challenging due to their many degrees of freedom. We propose a novel hierarchical variant of the Fast Marching Tree (FMT*) algorithm. Our algorithm assumes a decomposition of the full state space into multiple sub-spaces, and begins by rapidly finding a set of paths through one such sub-space. This set of solutions is used to generate a biased sampling distribution, which is then explored to find a solution in the full state space. This technique provides a novel way to incorporate prior knowledge of sub-spaces to ef- ficiently bias search within the existing FMT* framework. Importantly, probabilistic completeness and asymptotic optimality are preserved. Experimental results are provided for a reconfigurable wheel-on-leg platform that benchmark the algorithm against state-of-the-art sampling based planners. In minimizing an energy objective that combines the mechanical work required for platform locomotion with that required for reconfiguration, the planner produces intuitive behaviors where the robot dynamically adjusts its footprint, varies its height, and clambers over obstacles using legged locomotion. These results illustrate the generality of the planner in exploiting the platform’s mechanical ability to fluidly transition between various physical geometric configurations, and wheeled/legged locomotion modes.
Reza, CMFS & Lu, DD-C 1970, 'Improved power routing algorithm for power packet distribution system', 2016 IEEE 5th Global Conference on Consumer Electronics, 2016 IEEE 5th Global Conference on Consumer Electronics, IEEE, Kyoto, Japan.
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© 2016 IEEE.Recently proposed power packet (PP) distribution system can reduce stand-by power, improve the traditional power distribution system efficiency using less power processing stages, and monitor load demand intelligently from source side to keep the power system stable. Each PP includes header and footer bits which are used to distribute the PP. Reduced footer bit can save the transitional switching loss. A modified PP format with reduced footer bit and an improved algorithm to route the PP to the objective loads are proposed in this paper and verified by the experimental results.
Ribagin, S, Shannon, A & Atanassov, K 1970, 'Intuitionistic Fuzzy Evaluations of the Elbow Joint Range of Motion', Advances in Intelligent Systems and Computing, International Conference on Intuitionistic Fuzzy Sets and Generalized Nets, Springer International Publishing, Cracow, Poland, pp. 225-230.
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© Springer International Publishing Switzerland 2016. Following (Ribagin et al. 2015, In: 19th International Workshop on IFSs, [8]), in this paper it is proposed a technique to evaluate the functional capacity of the elbow joint during a complex movement using intuitionistic fuzzy and interval valued intuitionistic fuzzy sets. The membership and non-membership values are not always possible up to our satisfaction, but in deterministic (hesitation) part has more important role here, the fact that in decision making, particularly in case of orthopedic physical assessment, there is a fair chance of the existence of a non-zero hesitation part at each moment of evaluation. Based on our previous study here we will introduce intuitionistic fuzzy estimations of flexion-extension and pronation-supination movements of the elbow joint.
Rizoiu, M-A, Xie, L, Sanner, S, Cebrian, M, Yu, H & Hentenryck, PV 1970, 'Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity', PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'17), 26th International Conference on World Wide Web (WWW), ASSOC COMPUTING MACHINERY, Perth, AUSTRALIA, pp. 735-744.
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Modeling and predicting the popularity of online content is a significantproblem for the practice of information dissemination, advertising, andconsumption. Recent work analyzing massive datasets advances our understandingof popularity, but one major gap remains: To precisely quantify therelationship between the popularity of an online item and the externalpromotions it receives. This work supplies the missing link between exogenousinputs from public social media platforms, such as Twitter, and endogenousresponses within the content platform, such as YouTube. We develop a novelmathematical model, the Hawkes intensity process, which can explain the complexpopularity history of each video according to its type of content, network ofdiffusion, and sensitivity to promotion. Our model supplies a prototypicaldescription of videos, called an endo-exo map. This map explains popularity asthe result of an extrinsic factor - the amount of promotions from the outsideworld that the video receives, acting upon two intrinsic factors - sensitivityto promotion, and inherent virality. We use this model to forecast futurepopularity given promotions on a large 5-months feed of the most-tweetedvideos, and found it to lower the average error by 28.6% from approaches basedon popularity history. Finally, we can identify videos that have a highpotential to become viral, as well as those for which promotions will havehardly any effect.
Roxby, DN, Tran, N, Yu, P-L & Nguyen, HT 1970, 'Effect of growth solution, membrane size and array connection on microbial fuel cell power supply for medical devices', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, USA, pp. 1946-1949.
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© 2016 IEEE. Implanted biomedical devices typically last a number of years before their batteries are depleted and a surgery is required to replace them. A Microbial Fuel Cell (MFC) is a device which by using bacteria, directly breaks down sugars to generate electricity. Conceptually there is potential to continually power implanted medical devices for the lifetime of a patient. To investigate the practical potential of this technology, H-Cell Dual Chamber MFCs were evaluated with two different growth solutions and measurements recorded for maximum power output both of individual MFCs and connected MFCs. Using Luria-Bertani media and connecting MFCs in a hybrid series and parallel arrangement with larger membrane sizes showed the highest power output and the greatest potential for replacing implanted batteries.
Ruiqi Hu, Pan, S, Guodong Long, Xingquan Zhu, Jing Jiang & Chengqi Zhang 1970, 'Co-clustering enterprise social networks', 2016 International Joint Conference on Neural Networks (IJCNN), 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, IEEE, pp. 107-114.
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© 2016 IEEE. An enterprise social network (ESN) involves diversified user groups from producers, suppliers, logistics, to end consumers, and users have different scales, broad interests, and various objectives, such as advertising, branding, customer relationship management etc. In addition, such a highly diversified network is also featured with rich content, including recruiting messages, advertisements, news release, customer complains etc. Due to such complex nature, an immediate need is to properly organize a chaotic enterprise social network as functional groups, where each group corresponds to a set of peers with business interactions and common objectives, and further understand the business role of each group, such as their common interests and key features differing from other groups. In this paper, we argue that due to unique characteristics of enterprise social networks, simple clustering for ESN nodes or using existing topic discovery methods cannot effectively discover functional groups and understand their roles. Alternatively, we propose CENFLD, which carries out co-clustering on enterprise social networks for functional group discovery and understanding. CENFLD is a co-factorization based framework which combines network topology structures and rich content information, including interactions between nodes and correlations between node content, to discover functional user groups. Because the number of functional groups is highly data driven and hard to estimate, CENFLD employs a hold-out test principle to find the group number optimally complying with the underlying data. Experiments and comparisons, with state-of-the-art approaches, on 13 real-world enterprise/organizational networks validate the performance of CENFLD.
Rujikiatkamjorn, C, Perera, D & Indraratna, B 1970, 'Assessing Soil Disturbance while Installing Vertical Drains', Geotechnical and Structural Engineering Congress 2016, Geotechnical and Structural Engineering Congress 2016, American Society of Civil Engineers, pp. 971-981.
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© ASCE. Soil disturbance (smear zone) can be created while installing vertical drains, within which changes in horizontal permeability and the compressibility of in-situ soil can be observed. Previous studies on different aspects of soil disturbance due to driving vertical drains are limited, so extensive soil characterisation was carried out while installing drains at Ballina, NSW to obtain a more realistic smear zone. Soil disturbance was evaluated by determining the change in the coefficient of permeability, the water content, and volume compressibility away from the drain. The characteristics of the smear zone were compared to the data available from past literatures and indicated that the radius of the smear zone was about 6.3 times the equivalent mandrel radius, which was larger than that observed in the laboratory using reconstituted specimens.
Ruppert, MG, Harcombe, DM & Reza Moheimani, SO 1970, 'State estimation for high-speed multifrequency atomic force microscopy', 2016 American Control Conference (ACC), 2016 American Control Conference (ACC), IEEE.
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Saadat, A, Fang, G, Dutkiewicz, E, Mueck, M & Srikanteswara, S 1970, 'Enhanced QoS for domestic licensees in border areas through game theory based licensed shared access', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Qingdao, PEOPLES R CHINA, pp. 44-47.
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© 2016 IEEE.In this paper, we propose a non-coordinated Licensed Shared Access (LSA) model which enables Mobile Network Operators (MNOs) acting as domestic licensees to provide enhanced Quality of Service (QoS) in border areas. The proposed model allows the domestic licensees to rely on their backup strategies while utilizing available spectrum resources, to avoid severe interference and maintain their QoS, whenever foreign incumbents initiate their operation in similar frequency spectrum across the border. The proposed model is presented as an LSA based game theoretic algorithm. We prove its convergence to an equilibrium point after finite iterations, both analytically and through simulations.
Saberi, M, Chang, E, Hussain, OK & Saberi, Z 1970, 'Next generation of interactive contact centre for efficient customer recognition: Conceptual framework', Proceedings of the International Conference on Industrial Engineering and Operations Management, pp. 3231-3241.
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Contact centers, as the organization's touch point, have a considerable effect on customer experience and retention. It has been shown that 70% of all business interactions are handled in contact centers. A framework is proposed in this conceptual paper to build cleaned interactive customer recognition framework (CICRF) in CCs. CICRF consists of two integrated modules: cleansing and ICRF. The first module focuses on the detection and resolution of duplicate records to improve the effectiveness and efficiency of customer recognition. The second module focuses on interactive customer recognition in a customer database when there are multiple records with the same name. Cleansing module uses Semi-Automatic deduplication process by incorporating three main functions in its design, namely: DedupCrowd, DedupNN and DedupCSR. DedupCrowd is a function that provides training pairs of records for DeduppNN which is a deduplication based neural network. Researchers suggest leveraging human computing power in managing duplicate data which is scalable top the large size of contact centers data. However completion of crowdsourcing tasks is an error-prone process that affects the overall performance of the crowd. Thus, controlling the quality of workers is an essential step for crowdsourcing systems and for that I propose OSQC, an online statistical quality control framework, to monitor the performance of workers. DeduppNN is a neural network based deduplication method that uses output of DedupCrowd for the training purposes. DeduppNN has two features: first is that it is an online deduplication method which is essential for the purposes of customer recognition. Second is that in terms of costs it is much lower in comparison with DedupCrowd. The last function is designed for providing label to pairs when DedupNN is not sure about their label. The intuition behind this function is similar with active learning area which selects appropriate data for labeling. ICRF consist...
Saberi, M, Janjua, NK, Chang, E, Hussain, OK & Pazhoheshfar, P 1970, 'In-house crowdsourcing-based entity resolution using argumentation', Proceedings of the International Conference on Industrial Engineering and Operations Management, p. 135.
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A conceptual framework is proposed in this study to improve Entity Resolution in contact centers. It is stated in the paper that how RFID produce dirty data in CC's databases and how using customer service representatives (CSRs) via argumentation framework deal with issue. Leveraging the power of CSRs put this work as a crowdsourcing technique that combine human and machine together to rich to the high quality of data in CC's databases. © IEOM Society International.
Saberi, M, Karduck, A, Hussain, OK & Chang, E 1970, 'Challenges in Efficient Customer Recognition in Contact Centre: State-of-the-Art Survey by Focusing on Big Data Techniques Applicability', 2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS), 2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS), IEEE, Ostrava, CZECH REPUBLIC, pp. 548-554.
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Salah, A, Dorrel, D & Guo, Y 1970, 'Monitoring and Damping UMP Due Eccentricity Fault in Induction Machines: A Review', 2016 International Conference of Asian Union of Magnetics Societies (ICAUMS), 2016 International Conference of Asian Union of Magnetics Societies (ICAUMS), IEEE, Tainan, Taiwan.
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© 2016 IEEE. Three-phase induction machines are reliable and widely used in industrial plants. The efficient condition monitoring can diagnose the inception of fault mechanisms in induction motors thus avoiding failure and expensive repairs. Therefore, there is a strong need to develop a more efficient condition monitoring. The main target is to achieve a relatively low cost and/or non-invasive system which is still powerful in terms of monitoring for online detection of developing faults. This digest adresses rotor eccentricity faults and study of conventional monitoring techniques for induction motor faults. In order to reduce the UMP in case of an eccentric rotor, the eccentricity-generated additional airgap flux waves should be reduced. Additional, the characteristics of UMP in induction machines are addressed. Methods to reduce the side-band flux waves and hence attenuate the UMP will be addressed.
Salah, A, Youguang Guo & Dorrell, D 1970, 'Impedance matrix analysis technique in wound rotor induction machines including general rotor asymmetry', IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IEEE, Florence, Italy, pp. 1821-1826.
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© 2016 IEEE. A steady state analysis is developed for a wound rotor induction machine. In this paper the authors derive simple expressions for the mutual and coupling impedance in order to build impedance matrix. The analysis can be used in two ways when dealing with a symmetrical and asymmetrical rotor. The analysis is verified using a wound-rotor motor; the analysis can then be used to investigate asymmetry faults in a wound rotor machine. Experimental results (torque and current characteristic) are compared with computer predictions for the machine with both open-circuit and short-circuit faults.
Sameen, MI & Pradhan, B 1970, 'A novel built-up spectral index developed by using multiobjective particle-swarm-optimization technique', IOP Conference Series: Earth and Environmental Science, IOP Publishing, pp. 012006-012006.
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San, PP, Ling, SH & Nguyen, HT 1970, 'Deep learning framework for detection of hypoglycemic episodes in children with type 1 diabetes', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, pp. 3503-3506.
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© 2016 IEEE. Most Type 1 diabetes mellitus (T1DM) patients have hypoglycemia problem. Low blood glucose, also known as hypoglycemia, can be a dangerous and can result in unconsciousness, seizures and even death. In recent studies, heart rate (HR) and correct QT interval (QTc) of the electrocardiogram (ECG) signal are found as the most common physiological parameters to be effected from hypoglycemic reaction. In this paper, a state-of-the-art intelligent technology namely deep belief network (DBN) is developed as an intelligent diagnostics system to recognize the onset of hypoglycemia. The proposed DBN provides a superior classification performance with feature transformation on either processed or un-processed data. To illustrate the effectiveness of the proposed hypoglycemia detection system, 15 children with Type 1 diabetes were volunteered overnight. Comparing with several existing methodologies, the experimental results showed that the proposed DBN outperformed and achieved better classification performance.
San, PP, Ling, SH, Chai, R, Tran, Y, Craig, A & Nguyen, H 1970, 'EEG-based driver fatigue detection using hybrid deep generic model', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, USA, pp. 800-803.
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Classification of electroencephalography (EEG)-
based application is one of the important process for biomedical
engineering. Driver fatigue is a major case of traffic accidents
worldwide and considered as a significant problem in recent
decades. In this paper, a hybrid deep generic model (DGM)-
based support vector machine is proposed for accurate detection
of driver fatigue. Traditionally, a probabilistic DGM with deep
architecture is quite good at learning invariant features, but
it is not always optimal for classification due to its trainable
parameters are in the middle layer. Alternatively, Support
Vector Machine (SVM) itself is unable to learn complicated
invariance, but produces good decision surface when applied
to well-behaved features. Consolidating unsupervised high-level
feature extraction techniques, DGM and SVM classification
makes the integrated framework stronger and enhance mutually
in feature extraction and classification. The experimental
results showed that the proposed DBN-based driver fatigue
monitoring system achieves better testing accuracy of 73.29
% with 91.10 % sensitivity and 55.48 % specificity. In short, the
proposed hybrid DGM-based SVM is an effective method for
the detection of driver fatigue in EEG.
Saputra, YM & Hakimi, R 1970, 'Performance analysis on gain prediction of dual-radio aggregation system in heterogeneous network', 2016 8th International Conference on Information Technology and Electrical Engineering (ICITEE), 2016 8th International Conference on Information Technology and Electrical Engineering (ICITEE), IEEE, Univ Gadjah Mada, Fac Engn, Dept Elect Engn & Informat Technol, Yogyakarta, INDONESIA.
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Saputra, YM & Hendrawan 1970, 'The effect of packet loss and delay jitter on the video streaming performance using H.264/MPEG-4 Scalable Video Coding', 2016 10th International Conference on Telecommunication Systems Services and Applications (TSSA), 2016 10th International Conference on Telecommunication Systems Services and Applications (TSSA), IEEE, Denpasar, INDONESIA.
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Saqib, M, Daud Khan, S & Blumenstein, M 1970, 'Texture-based feature mining for crowd density estimation: A study', 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), IEEE, Palmerston North, New Zealand.
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© 2016 IEEE. Texture feature is an important feature descriptor for many image analysis applications. The objectives of this research are to determine distinctive texture features for crowd density estimation and counting. In this paper, we have comprehensively reviewed different texture features and their different possible combinations to evaluate their performance on pedestrian crowds. A two-stage classification and regression based framework have been proposed for performance evaluation of all the texture features for crowd density estimation and counting. According to the framework, input images are divided into blocks and blocks into cells of different sizes, having varying crowd density levels. Due to perspective distortion, people appearing close to the camera contribute more to the feature vector than people far away. Therefore, features extracted are normalized using a perspective normalization map of the scene. At the first stage, image blocks are classified using multi-class SVM into different density level. At the second stage Gaussian Process Regression is used to re gress low-level features to count. Various texture features and their possible combinations are evaluated on publicly available dataset.
Savitha, R, Chan, KY, San, PP, Ling, SH & Suresh, S 1970, 'A hybrid Deep Boltzmann Functional Link Network for classification problems', 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Athens, GREECE.
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Schwitter, BK, Fattorini, AP, Mahon, SJ, Parker, AE & Heimlich, MC 1970, 'Development and verification of a scalable GaAs pHEMT FEM thermal model', 2016 11th European Microwave Integrated Circuits Conference (EuMIC), 2016 11th European Microwave Integrated Circuits Conference (EuMIC), IEEE.
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Schwitter, BK, Parker, AE, Mahon, SJ & Heimlich, MC 1970, 'Transient gate resistance thermometry demonstrated on GaAs and GaN FET', 2016 IEEE MTT-S International Microwave Symposium (IMS), 2016 IEEE/MTT-S International Microwave Symposium (IMS), IEEE.
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Shanmuganathan, S, Johir, MAH, Listowski, A, Vigneswaran, S & Kandasamy, J 1970, 'Sustainable Processes for Treatment of Waste Water Reverse Osmosis Concentrate to achieve Zero Waste Discharge: A Detailed Study in Water Reclamation Plant', WASTE MANAGEMENT FOR RESOURCE UTILISATION, International Conference on Solid Waste Management, Elsevier, Bengaluru, India, pp. 930-937.
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Water reclamation systems based on dense membrane treatment such as reverse osmosis (RO) are being progressively applied to meet water quantity and quality requirements for a range of urban and environmental applications. The RO concentrate usually represents 25% of the feed water flow and contains the organic and inorganic contaminants at higher concentrations. The amount of RO concentrate waste water requiring disposal must be as minimal as possible (near zero-discharge); the recovery of high quality water should be as high as possible. Management issues related to proper treatment and disposal of RO concentrate are an important aspect of sustainable water reclamation practice. The RO concentrate is a significant component of water treatment process and poorly managed treatment and disposal of RO concentrate causes significant consequences. Even in a small to medium size water reclamation plant in Sydney, 2000 kL of water is treated by RO and around 300 kL of RO concentrate is produced daily. This RO concentrate consists of a high level of organics (25-30mg/L of DOC which is mainly refractory organics) and inorganic salts (Cl− = 400-650mg/L, Na+ = 400-500mg/L, Ca2+ = 93-200mg/L, K+ = 63-100mg/L). The RO concentrate waste disposal cost can be minimized and made valuable by reclaiming the RO concentrate with the aim of producing salts from the solutes and recycling the water to the treatment system. Technologies for recovery of high salt concentration from the RO concentrate such as forward osmosis (FO) and membrane distillation (MD) are either energy intensive or not developed in large scale. In this study, we highlight a sustainable membrane adsorption hybrid system in treating this RO concentrate.
Shao, J, Meng, X & Cao, L 1970, 'Mining actionable combined high utility incremental and associated patterns', 2016 IEEE International Conference on Aircraft Utility Systems (AUS), 2016 IEEE/CSAA International Conference on Aircraft Utility Systems (AUS), IEEE, Beijing,China, pp. 1164-1169.
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High Utility Itemsets(HUI) Mining, instead of Frequent Pattern Mining (FIM), has been an attractive theme in data mining domain for over a decade since it can be regarded as an alternative way for researchers to identify actionable patterns. In addition, the necessity of decision-making actions and behavior-oriented strategies based on large amount of informative data impels the significance of discovering actionable patterns to be widely admitted. The current HUIM research focus has been on improving the efficiency to make algorithms faster and more stable. However, the coupling relationships between items in given itemsets are ignored. For example, the utility of one itemset might be lower than the manager expected until one additional item takes part in; and vice versa, the utility of an itemset might drop sharply when another one joins in. What's more, it is not occasional to find out that quite a lot of redundant itemsets sharing the same underlying item are presented based on existing academic HUI mining methods. Store managers would not make expected profits based on such results which makes the results not actionable at all. To this end, here we introduce a new framework for mining actionable patterns, called Mining Utility Associated Patterns (MUAP), which aims to find high utility incremental and strongly associated item/itemset with combined incorporating criteria. The outputs of this algorithm are convincing on real datasets as well as synthetic datasets.
Sheng, Z, Tuan, HD, Kha, HH & Fang, Y 1970, 'Effectively inserted training for channel state estimation of spatially correlated MIMO-OFDM', 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE), 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE), IEEE, Ha Long, Vietnam, pp. 89-93.
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© 2016 IEEE.This work considers channel state estimation of multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) with spatial correlation by inserting a very short-length training sequence into each OFDM symbol. The rate occupancy of the training sequence within one OFDM symbol is just 1/128. The objective for designing training sequences is to minimize the entropy of the error between channel state and its estimator. Unlike the case with full length training sequences, where the training sequence design is formulated as a convex optimization problem with the available computational solution, the problem of short-length training sequence design is highly nonconvex and thus is very computationally challenging. Our main result is to develop a low-complexity iterative procedure for its solution. Simulations show the effectiveness of our methods.
Shi, L, Miro, JV, Zhang, T, Vidal-Calleja, T, Sun, L & Dissanayake, G 1970, 'Constrained sampling of 2.5D probabilistic maps for augmented inference', 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Daejeon, Korea, pp. 3131-3136.
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© 2016 IEEE. This work exploits modeling spatial correlation in 2.5D data using Gaussian Processes (GPs), and produces constrained sampling realizations on these models to improve certainty in the predictions by means of integrating additional sparse information. Data organized in 2.5D such as elevation and thickness maps has been extensively studied in the fields of robotics and geostatistics. These maps are typically represented as a probabilistic 2D grid that stores an estimated value (height or thickness) for each cell. With the increasing popularity and deployment of robotic devices for infrastructure inspection, 2.5D data becomes a common interpretation of the condition of the target being inspected. Modeling the spatial dependencies and making inferences on new grid locations is a common task that has been addressed using GPs, but inference results on locations which are weakly correlated with the training data are generally not sufficiently informative and distinctly uncertain. The predictive capability of the proposed framework, which is applicable to any 2.5D data, is demonstrated with field inspection data from pipelines. Specifically, sparse and complementary measurements from alternative sensing modalities have been incorporated into the model to predict in more detail local thickness conditions where GP training data is limited. The output of this work aims to probabilistically present variations of the target in the case that both accuracy and reasonable diversity are of significant interest.
Shi, L, Valls Miro, J, Rajalingam, J, Wood, R & Vitanage, D 1970, 'High Precision GPS Aided In-pipe Distance Calibration For Satellite Image-based Pipeline Mapping', OZWATER’16 Australia’s International Water Conference & Exhibition, OZWATER’16 Australia’s International Water Conference & Exhibition, Australian Water Association, Melbourne, pp. 1-8.
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Asset management and pipe condition assessment (CA) activities in the water industry usually require locating buried pipes accurately to minimise inspection and maintenance costs. A typicalchallenge in practice is locating an anomaly detected by an in-pipe inspection tool from aboveground in order to dig up a pipe for replacement. Accumulated in-pipe errors over longer distances in particular can easily lead to selecting the wrong pipe section for further investigation or exhumation. In fact, some in-pipe CA providers suggest utility personnel dig up a number of sections of pipe around the suggested location so as to ensure finding the target section. In this paper we propose a mechanism to accurately correlate a 3D pipeline profile built from GPS surveying results of aboveground pipeline features with in-pipe chainage distances, so as to establish an accurate link between above-ground GPS coordinates and inpipe distance measurements. This approach naturally characterises and corrects for some of the most prominent in-pipe chainage measurement errors that can lead to uncertainties about the reported location of a buried pipeline from above-ground. The detailed pipeline information can then be projected onto satellite imagery as an accurate easy-to-understand reference for efficient decision making.
Shi, Y, Tuan, HD & Su, S 1970, 'Nonconvex spectral algorithm for solving BMI on the reduced order H<inf>∞</inf> control', 2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), IEEE, Batu Ferringhi, Malaysia, pp. 316-319.
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© 2016 IEEE. The design of reduced-order H∞ control can be transformed into an optimization problem with bilinear matrix inequality (BMI) constraints, which is an NP-hard problem. We propose a method to equivalently transfer the BMI constraint into a convex LMI constraint plus a matrix-rank constraint. The optimization with matrix-rank constraint is iteratively solved by a sequence of semidefinite programming (SDP) problems. Simulations on several benchmark systems show that our algorithm is practical and efficient.
Shi, Y, Tuan, HD, Su, SW & Savkin, AV 1970, 'Multiple Matrix Rank Constrained Optimization for Optimal Power Flow over Large Scale Transmission Networks', Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems, 5th International Conference on Smart Cities and Green ICT Systems, SCITEPRESS - Science and and Technology Publications, Rome, Italy, pp. 384-389.
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© Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.The optimal power flow (OPF) problem for power transmission networks is an NP-hard optimization problem with numerous quadratic equality and indefinite quadratic inequality constraints on bus voltages. The existing nonlinear solvers often fail in yielding a feasible solution. In this paper, we follow our previously developed nonsmooth optimization approach to address this difficult large-scale OPF problem, which is an iterative process to generate a sequence of improved solutions that converge to an optimal solution. Each iteration calls an SDP of a moderate dimension. Intensive simulations for OPF over networks with a large number of buses are provided to demonstrate the efficiency of our approach.
Shrestha, S, Gengfa Fang, Dutkiewicz, E & Xiaojing Huang 1970, 'Effect of CSI quantization on the average rate in MU-MIMO WLANs', 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC), IEEE, USA, pp. 824-828.
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© 2016 IEEE. In Multi-User Multiple Input Multiple Output (MU-MIMO) Wireless Local Area Networks (WLANs), the optimal-solution such as Dirty Paper Coding (DPC) or the sub-optimal solution Zeroforcing Beamforming (ZFB) with perfect Channel State Information (CSI), is practically limited due to the complexity and the non-availability of perfect CSI at the Access Points (APs)/transmitters. In such a context, ZFB based on channel quantization available at the APs (ZFQ) is the obvious choice for the Multi-User transmission strategy. However, since the quantized CSI is used instead of the perfect CSI at the APs, the quantization error and its impact on the average rate for ZFQ have to be quantified in MU-MIMO WLAN settings. In this paper, we derive a closed-form expression for the upper bound of the channel quantization error and the average rate reduction due to the quantization error with respect to the perfect CSI at the APs. In MU-MIMO WLAN settings, our analytical and numerical studies show that, with an increasing number of antennas at the clients, both the quantization error bound and the average rate reduction increase for ZFQ, in comparison to the ZFB with the perfect CSI.
Shu, L, Fan, F, Dou, R, Shui, Y & Dou, W 1970, 'A Dynamic Pricing Method for Carpooling Service Based on Coalitional Game Analysis', PROCEEDINGS OF 2016 IEEE 18TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS; IEEE 14TH INTERNATIONAL CONFERENCE ON SMART CITY; IEEE 2ND INTERNATIONAL CONFERENCE ON DATA SCIENCE AND SYSTEMS (HPCC/SMARTCITY/DSS), 18th IEEE International Conference on High Performance Computing and Communications (HPCC) / 14th IEEE International Conference on Smart City (Smart City) / 2nd IEEE International Conference on Data Science and Systems (DSS), IEEE, Sydney, AUSTRALIA, pp. 78-85.
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Shu, Q, Guo, H, Liang, J, Che, L, Liu, J & Yuan, X 1970, 'EnsembleGraph: Interactive visual analysis of spatiotemporal behaviors in ensemble simulation data', 2016 IEEE Pacific Visualization Symposium (PacificVis), 2016 IEEE Pacific Visualization Symposium (PacificVis), IEEE, Taipei, Taiwan, pp. 56-63.
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© 2016 IEEE. This paper presents a novel visual analysis tool, EnsembleGraph, which aims at helping scientists understand spatiotemporal similarities across runs in time-varying ensemble simulation data. We abstract the input data into a graph, where each node represents a region with similar behaviors across runs and nodes in adjacent time frames are linked if their regions overlap spatially. The visualization of this graph, combined with multiple-linked views showing details, enables users to explore, select, and compare the extracted regions that have similar behaviors. The driving application of this paper is the study of regional emission influences over tropospheric ozone, based on the ensemble simulations conducted with different anthropogenic emission absences using MOZART-4. We demonstrate the effectiveness of our method by visualizing the MOZART-4 ensemble simulation data and evaluating the relative regional emission influences on tropospheric ozone concentrations.
Shuhimi, FF, Abdollah, MFB, Kalam, MA, Masjuki, HH, Mustafa, A & Amiruddin, H 1970, 'Surface durability of oil palm fiber/epoxy composite at various temperatures', PROCEEDINGS OF MECHANICAL ENGINEERING RESEARCH DAY 2016, Mechanical Engineering Research Day (MERD), CENTRE ADVANCED RESEARCH ENERGY-CARE, Univ Teknikal Malaysia Melaka. Kampus Teknologi, Melaka, MALAYSIA, pp. 108-109.
Sick, N, Preschitschek, N & Broering, S 1970, 'Hot spots of convergence research', The XXVII ISPIM Conference “Blending Tomorrow's Innovation Vintage“, Porto, Portugal.
Sick, N, Preschitschek, N, Guertler, M & Broering, S 1970, 'Convergence research in technology and innovation management literature − A review on its current status, overall relevance and future challenges', R&D Management Conference ‘From Science to Society: Innovation and Value Creation’, Cambridge, United Kingdom.
Sick, N, Suseno, Y, Hofmann, E & Nienaber, A-M 1970, 'Distance and knowledge hiding in academic collaborations', ISPIM Innovation Summit 2016 “Moving the Innovation Horizon”, Kuala Lumpur, Malaysia.
Siddiki, MNAA, Molla, MM & Saha, SC 1970, 'Natural convection flow in porous enclosure with localized heating from below with heat flux', AIP Conference Proceedings.
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Unsteady natural convection flow in a two dimensional fluid saturated porous enclosure with localized heating from below with heat flux, symmetrical cooling from the sides and the insulated top wall has been investigated numerically. The governing equations are the Darcy's law for the porous media and the energy equation for the temperature field has been considered. The non-dimensional Darcy's law in terms of the stream function is solved by finite difference method using the successive over-relaxation (SOR) scheme and the energy equation is solved by Alternative Direction Alternative (ADI) scheme. The uniform heat flux source is located centrally at the bottom wall. The numerical results are presented in terms of the streamlines and isotherms, as well as the local and average rate of heat transfer for the wide range of the Darcy's Rayleigh number and the length of the heat flux source at the bottom wall.
Silvrano Adonias Dantas Neto, Buddhima Indraratna & David Americo Oliveira 1970, 'Prediction of the Shear Behaviour of Clean Joints in Soft Rocks using Perceptron', VII Simpósio Brasileiro de Mecânica das Rochas, VII Simpósio Brasileiro de Mecânica das Rochas, Associação Brasileira de Mecânica dos Solos e Engenharia Geotécnica - ABMS.
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One of the factors that most affects the safety of structures in or on rock masses is the shear behaviour of rock discontinuities. Some analytical models predicting the shear behavior of rock joints have been developed on the basis of experimental data obtained from direct shear tests performed under different boundary stiffness conditions. However, the use of these analytical models sometimes become difficult due to lack of laboratory test results, or even the difficulty of obtaining some of their parameters. The objective of this paper is to present a model that can be used to predict the shear behaviour of soft clean joints using the artificial neural network (ANN) known as perceptron. Results from direct shear tests conducted on idealized saw-tooth synthetic rock joints under different boundary conditions were considered in the development of the proposed ANN model. The following parameters were considered as input for the ANN model training: boundary normal stiffness, asperity height, initial asperity angle, initial normal stress and the horizontal displacement The output of the ANN model is the shear stress at a particular horizontal displacement. The developed ANN model has an A:5-15-5-1 architecture, where each number represents the number of neurons per layer. The coefficients of correlation between the actual test results and the model output values used to evaluate the behaviour of the neural model during training and validation were 0.999 and 0.997, respectively. The shear strength obtained by applying this kind of model can be considered more advantageous for use in practice than that obtained from the analytical models. One of the advantages of this tool is that, once the synaptic weights and bias of the model are known, the prediction of the shear behaviour of the clean joints of soft rocks can be made using a simple spreadsheet with only parameters which represent the initial roughness of the joint and the boundary conditions (CNL or CNS), rather ...
Simorangkir, RBVB, Yang Yang, Esselle, KP, Matekovits, L & Abbas, SM 1970, 'A simple dual-band dual-mode antenna for off-/on-body centric communications', 2016 10th European Conference on Antennas and Propagation (EuCAP), 2016 10th European Conference on Antennas and Propagation (EuCAP), IEEE, Davos, SWITZERLAND.
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By utilizing inherently generated TM11 and TM02 modes of a patch antenna, a new dual-band dual-mode antenna is proposed for off-/on-body centric communication. The antenna consists of a simple probe-fed circular patch with a shorting pin and two arc-shaped slots, which are added to tune the resonances of the corresponding modes to the desired frequencies of 2.45 and 5.8 GHz. A broadside radiation pattern suitable for off-body communication and a monopole-like radiation pattern for on-body communication are thereby provided at each frequency, respectively. To determine the human body's effect on the antenna performance, a study has been conducted through simulations in both free space and on a human body-equivalent phantom. The results reveal a robust performance of the antenna against the human body loading, which indicates that the proposed antenna is a very promising candidate for body centric communications.
Simorangkir, RBVB, Yang, Y & Esselle, KP 1970, 'Double-layer embroidery strategy for fabrication of textile antennas with improved efficiency', 2016 17th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM), 2016 17th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM), IEEE, Montreal, QC, Canada.
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In this paper, two approaches in fabricating textile antennas with double-layer embroidery technique, as one of the way to increase the textile antennas' efficiency, are discussed and compared. In the first approach, a conductive thread is used for both the upper and lower (bobbin) threads, while in the second, the conductive thread is used only for the lower thread but the embroidery process is done twice. To study the effect of each approach, two embroidered rectangular patch antennas operating at 2.45 GHz ISM band were fabricated and measured. The embroidered layers were then placed on top of a 3.175 mm thick Rogers TMM3 substrate, tested, and compared with an etched copper version of the patch antenna. The results show that both approaches give a comparable radiation performance to the etched copper version with a slightly higher efficiency in the first one. However, the second approach allows faster and cost efficient fabrication
Singh, A, Wang, Y-K, Chiu, C-Y, Yu, Y-H, Nascimben, M, King, J-T, Chuang, C-H, Chen, S-A, Ko, L-W, Pal, NR & others 1970, 'Attention in Complex Environment of Brain Computer Interface', Proceedings of the 6th International Brain-Computer Interface Meeting, organized by the BCI Society, Verlag der TU Graz, Graz University of Technology, sponsored by g.tec medical engineering GmbH, pp. 165-165.
Siwakoti, YP & Blaabjerg, F 1970, 'A novel flying capacitor transformerless inverter for single-phase grid connected solar photovoltaic system', 2016 IEEE 7th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 2016 IEEE 7th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), IEEE, Vancouver, BC, Canada.
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© 2016 IEEE.This paper proposes a new single-phase flying capacitor transformerless PV inverter for grid-connected photovoltaic (PV) systems. The neutral of the grid can be directly connected to the negative terminal of the source (PV). It consists of four power switches, one diode, one capacitor and a small filter at the output stage. A simple Unipolar Sinusoidal Pulse-Width Modulation (SPWM) technique is used to modulate the inverter to minimize switching loss, output current ripple and filter requirements. The main advantages of the new inverter topology are: (1) the negative polarity of the PV is directly connected to the grid, so no leakage current, (2) voltage stress of all switches are the same and equal to the dc-link voltage, (3) reactive power can be send to the grid, so no problem of reactive power compensation (4) peak of output ac voltage is equal to input dc-voltage (unlike NPC, ANPC and some topologies, which requires two times of the peak ac-voltage magnitude) and, (5) the flying capacitor charges every switching cycle, which reduces the size of the required capacitor with switching frequency. In addition, industry standard half bridge module can be used in the new inverter without any modification. Experimental results of 1 kW prototype are presented at the end of the paper to prove the concept and theoretical analysis of the proposed transformerless inverter. The peak efficiency of the inverter at a full load is 99.2%.
Siwakoti, YP, Blaabjerg, F & Loh, PC 1970, 'Ultra-step-up DC-DC converter with integrated autotransformer and coupled inductor', 2016 IEEE Applied Power Electronics Conference and Exposition (APEC), 2016 IEEE Applied Power Electronics Conference and Exposition (APEC), IEEE, Long Beach, CA, USA, pp. 1872-1877.
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© 2016 IEEE.This paper introduces a new single-switch nonisolated dc-dc converter with very high voltage transfer ratio and reduced semiconductor voltage stress. The converter utilizes an integrated autotransformer and a coupled inductor on the same core to achieve a high step-up voltage gain without extreme duty cycle. Further, an integrated passive regenerative circuit recycles the leakage energy of the coupled magnetics and transfer the leakage energy to the load, which helps to avoid high voltage spikes across the switch. This feature along with low stress on the switching device enables the designer to use a low voltage and low RDS-on MOSFET, which reduces the cost, and also the conduction and turn on losses of the switch. The principle of operation and theoretical analysis supported by key simulation and experimental waveforms are presented in details.
Siwakoti, YP, Blaabjerg, F, Chub, A & Vinnikov, D 1970, 'Quadratic boost A-source impedance network', 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE, Milwaukee, WI, USA.
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© 2016 IEEE. A novel quadratic boost A-source impedance network is proposed to realize converters that demand very high voltage gain. To satisfy the requirement, the network uses an autotransformer where the obtained gain is quadratically dependent on the duty ratio and is unmatched by any existing impedance source networks and normal DC-DC converters with coupled magnetics at the same duty ratio and turns ratio. The term 'Quadratic Boost A-Source' indicates its quadratic varying gain in the operating principle of the converter. The proposed converter draws a continuous current from the source and suits for many types of renewable sources. This capability has been demonstrated by mathematical derivation and proven in experiments with a single-switch 200 W, 40 kHz DC-DC converter.
Siwakoti, YP, Blaabjerg, F, Galigekere, VP & Kazimierczuk, MK 1970, 'A-source impedance network', 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE, Milwaukee, WI, USA.
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© 2016 IEEE. A novel A-source impedance network is proposed in this paper using an autotransformer for realizing converters that demand a very high dc voltage gain. The network utilizes a minimal turns ratio compared to other Magnetically Coupled Impedance Source (MCIS) networks to attain high voltage gain. In addition, the proposed converter draws a continuous current from the source, and hence it is suitable for many types of renewable energy sources. This voltage boost capability has been demonstrated by mathematical derivations, and it is also realized in experiments with an example single-switch 50 kHz, 200 W DC-DC converter.
Siyari, P, Krunz, M & Nguyen, DN 1970, 'A Game Theoretic Design of Artificial-Noise Aided Transmissions in MIMO Wiretap Interference Network', 2016 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2016 - 2016 IEEE Global Communications Conference, IEEE, Washington, DC, pp. 1-6.
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© 2016 IEEE. The article considers the joint optimization of artificial noise (AN) and information signal precoders in a MIMO wiretap interference network where the transmission of each user may be overheard by several MIMO-capable eavesdroppers. We use the theory of non-cooperative games to propose a distributed framework to optimize the covariance matrices of the information signal and AN at each link. To tackle the non-convexity of each link/player's optimization problem, we recruit a relaxed equilibrium concept in game theory, called quasi-Nash equilibrium (QNE). Under the assumption of no coordination between links, we derive sufficient conditions for the existence and uniqueness of the resulting QNE. It turns out that the uniqueness of QNE is not always guaranteed, especially in the case of high interference. Hence, multiple QNEs might exist, and an ordinary updating process (e.g., Gauss-Seidel, Jacobi, or asynchronous update) does not guarantee the convergence to a QNE. Instead, by using the Tikhonov regularization method for variational inequality problems, we modify our algorithm to guarantee the game's convergence to a QNE even in the case of having multiple QNEs. The modified algorithm also allows the links to select between multiple QNEs so as to reduce the received interference at the legitimate receivers. Simulations are then used to confirm the above theoretical findings and the efficacy (in terms of secrecy sum-rate, convergence guarantee, and energy efficiency) of the latter algorithm.
Siyari, P, Krunz, M & Nguyen, DN 1970, 'Price-based friendly jamming in a MISO interference wiretap channel', IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016 - IEEE Conference on Computer Communications, IEEE, San Francisco, USA.
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© 2016 IEEE. In this paper, we expand the scope of PHY-layer security by investigating TX-based friendly jamming (FJ) for the wiretap channel in multi-link settings. For the single-link scenario, creating a TX-based FJ is an effective and practical method in improving the secrecy rate. In a multi-link setting, several information signals must be transmitted simultaneously. Thus, the design must guarantee that the FJ signal of a given transmitter does not interfere with unintended but legitimate receivers. Under the assumption of exact knowledge of the eavesdropping channel, we first propose a distributed price-based approach to improve the secrecy sum-rate of a two-link network with one eavesdropper while satisfying an information-rate constraint for both link. Simulations show that price-based FJ control outperforms greedy FJ, and is close to the performance of a centralized approach. Next, we propose a method based on mixed strategic games that can offer robust solutions to the distributed secrecy sum-rate maximization problem under the assumption of an unknown eavesdropping channel. Lastly, we use simulations to show that in addition to outperforming the greedy approach, our robust optimization also satisfies practical network considerations. In particular, the transmission time for the robust optimization can be determined flexibly to match the channel's coherence time.
Sohaib, O & Kang, K 1970, 'Assessing Web Content Accessibility of E-Commerce Websites for People with Disabilities.', ISD, International Conference on Information Systems Development, University of Economics in Katowice / Association for Information Systems, Katowice-Poland, pp. 466-475.
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In recent years online shopping has grown significantly. Due to the rapid growth of technology, companies also continuing to extend the functionality and design of their Business-to-Consumer (B2C) e-business websites. However, it is also important to adopt web accessibility such as the Web Content Accessibility Guidelines in B2C websites to increase the consumer's satisfaction of all ages and with disabilities. This study analyses 30 Australian B2C websites in accordance to Web Content Accessibility Guidelines (WCAG 2.0) using an automated web service. The result shows that B2C websites in Australia are not paying attention to web accessibility for people with disabilities. However, e-commerce will succeed in meeting WCAG 2.0 by making B2C e-commerce websites accessible to consumer of all ages and with disabilities. Recommendations are proposed in order to improve web accessibility for people with sensory (hearing and vision), motor (limited use of hands) and cognition (language and learning) disabilities in B2C e-commerce websites.
Sohaib, O & Kang, K 1970, 'Individual Level Culture Effects on Multi-Perspective iTrust in B2C E-commerce', ACIS 2015 Proceedings - 26th Australasian Conference on Information Systems, Australasian Conference on Information Systems, ACIS, Adelaide, pp. 1-11.
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Consumer trust is one of the key obstacles to online vendors seeking toextend their consumers across cultures. This research identifies culture at theindividual consumer level. Based on the Stimulus-Organism-Response (SOR) model,this study focuses on the moderating role of uncertainty avoidance culturevalue on privacy and security as cognition influences, joy and fear asemotional influences (Stimuli), and individualism-collectivism on socialnetworking services as social influence and subsequently on interpersonal trust(cognitive and affect-based trust) (Organism) towards purchase intention(Response). Data were collected in Australia and the Partial least squares(PLS) approach was used to test the research model. The findings confirmed themoderating role of individual level culture on consumer's cognitive andaffect-based trust in B2Ce-commerce websites with diverse degrees ofuncertainty avoidance and individualism.
Song, J, Wang, J, Zhao, L, Huang, S & Dissanayake, G 1970, '3D shape recovery of deformable soft-tissue with computed tomography and depth scan', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, ARAA, Queensland, Australia, pp. 11-19.
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Knowing the tissue environment accurately is very important in minimal invasive surgery (MIS). While, as the soft-tissues is deformable, reconstruction of the soft-tissues environment is challenging. This paper proposes a new framework for recovering the deformation of the soft-tissues by using a single depth sensor. This framework makes use of the morphology information of the soft-tissues from Xray computed tomography, and deforms it by the embedded deformation method. Here, the key is to build a distance field function of the scan from the depth sensor, which can be used to perform accurate model-to-scan deformation together with robust non-rigid shape registration in the same go. Simulations show that soft-tissue shape in the previous step can be efficiently deformed to fit the partially observed scan in the current step by using the proposed method. And the results from the simulated sequential deformation of three different softtissues demonstrate the potential clinical value for MIS.
Song, K, Chen, L, Gao, W, Feng, S, Wang, D & Zhang, C 1970, 'PerSentiment', Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion, the 25th International Conference Companion, ACM Press, Montreal, pp. 255-258.
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Microblogging services are playing increasingly important roles in our daily life today. It is useful for microblog users to instantly understand the sentiment of a large number of microblogs posted by their friends and make appropriate response. Despite considerable progress on microblog sentiment classification, most of the existing works ignore the influence of personal distinctions of different microblog users on the sentiments they convey, and none of them has provided real-world personalized sentiment classification systems. Considering personal distinctions in sentiment analysis is natural and necessary as different people have different language habits, personal characters, opinion bias and so on. In this demonstration, we present a live system based on Twitter called PerSentiment, an individuality-dependent sentiment classification system which makes the first attempt to analyze the personalized sentiment of recent tweets and retweets posted by the authenticated user and the users he/she follows. Our system consists of four steps, i.e., requesting tweets via Twitter API, preprocessing collected tweets for extracting features, building personalized sentiment classifier based on a novel and extensible Latent Factor Model (LFM) trained on emoticon-tagged tweets, and finally visualizing the sentiment of friends' tweets to provide a guide for better sentiment understanding.
Song, K, Gao, W, Chen, L, Feng, S, Wang, D & Zhang, C 1970, 'Build Emotion Lexicon from the Mood of Crowd via Topic-Assisted Joint Non-negative Matrix Factorization', Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR '16: The 39th International ACM SIGIR conference on research and development in Information Retrieval, ACM, Pisa, Italy.
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Sotirova, E, Atanassov, K, Shannon, A, Kim, T, Krawczak, M, Melo-Pinto, P & Riecan, B 1970, 'Intuitionistic fuzzy evaluations for analysis of a student's knowledge of mathematics in university e-learning courses', 2016 IEEE 8th International Conference on Intelligent Systems (IS), 2016 IEEE 8th International Conference on Intelligent Systems (IS), IEEE, Sofia, Bulgaria, pp. 535-537.
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© 2016 IEEE. The theory of intuitionistic fuzzy sets is used in this paper for the assessment of the student's knowledge of mathe-matics. The method presented here provides the possibility for the algorithmization of the process of forming the student's evaluations.
Stone, B, Halkon, B & Harland, A 1970, 'Headform Mounting Performance in Cricket Standard Testing', Procedia Engineering, 11th Conference of the International Sports Engineering Association (ISEA), Elsevier BV, Delft, NETHERLANDS, pp. 401-406.
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© 2016 The Authors. Published by Elsevier Ltd. The current British Standard for head protectors for cricketers specifies a projectile test to ensure that a helmet can prevent the ball penetrating the peak-grille gap and deformation of the grille onto the face. For practical reasons, it is specified that the headform is mounted onto a grounded frame. This study aims to determine whether this 'Fixed' mounting technique influences the response of the headform relative to a theoretically preferable 'Free' suspension. A pressurised air cannon was used to project a 'BOLA'TM ball at three nominal speeds (22, 25 and 28 m/s) and at three target impact locations (136 (Top), 108 (Middle) and 80 (Bottom) mm from the base). High speed video was used to identify the contact duration and accelerometer data were used to assess the peak resultant headform acceleration and velocity during this period. Generally, good agreement between the two scenarios was found in regard to peak resultant headform acceleration, particularly at the 25 and 28 m/s impact speeds. In terms of headform velocity, the two scenarios showed greater variation when the full contact duration was considered, with root mean square deviations ranging from 1.77-5.6 in all testing conditions. However, some portions of the impact were considerably more consistent than others. These initial results indicate that the result of the penetration test, as specified in BS 7928:2013, would be independent of the suspension technique particularly given the convergence of results at the specified standard velocity (28 m/s). Future work should look to identify the loading and unloading phases of an impact, and use this to compare headform response. Thus allowing a more in-depth investigation of headform mounting performance and provide more clarity on the use of the Fixed technique in cricket standard tests.
Stone, BW, Halkon, BJ & Harland, AR 1970, 'An explorative study into the mechanics of projectile impacts to the head', 2016 IRCOBI Conference Proceedings - International Research Council on the Biomechanics of Injury, pp. 369-380.
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There has been little research focused on the mechanics of high-velocity, low-mass projectile impacts to the head. The little work that has been conducted has focused solely on linear acceleration, despite the evidence linking rotational acceleration to the development of brain injury. The aim of this study was to explore the presence of rotational acceleration in projectile impacts and investigate the influence of impact location. A pressurised air cannon was used to project a BOLATM ball at 22 and 28 m.s-1 towards a BSEN 960:2006 headform positioned to elicit impacts at frontal and lateral locations. High-speed video and accelerometer measurements were used to investigate differences in contact duration, ball deformation and average linear and rotational acceleration during loading. Contact duration was found to be independent of impact location or speed. Greater ball deformation was observed in frontal impacts, despite no differences in time to maximum deformation. Average linear acceleration was observed to be greater during the loading phase in the frontal impacts then in the lateral impacts, potentially due to differences in surface geometry, resulting in differences in ball deformation. Average rotational acceleration was greater in lateral impacts potentially due to differences in the moments of inertia of the headform. Rotational acceleration was found to be higher than previously published injury thresholds for concussion and therefore a potentially important factor in projectile impacts, warranting further research.
Strudthoff, M, Sick, N & Leker, J 1970, 'Knowledge networks based on technological distances', The XXVII ISPIM Conference “Blending Tomorrow's Innovation Vintage“, Porto, Portugal.
Stuart, B, Thomas, P, Maynard-Casely, H, Booth, N & Leung, A 1970, 'A neutron diffraction investigation of shear forces on a model lipid for forensic application', ANZFSS 23rd International Symposium on the Forensic Sciences, Auckland.
Su, D, Nakamura, K, Nakadai, K & Miro, JV 1970, 'Robust sound source mapping using three-layered selective audio rays for mobile robots', 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Daejeon, Korea, pp. 2771-2777.
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© 2016 IEEE. This paper investigates sound source mapping in a real environment using a mobile robot. Our approach is based on audio ray tracing which integrates occupancy grids and sound source localization using a laser range finder and a microphone array. Previous audio ray tracing approaches rely on all observed rays and grids. As such observation errors caused by sound reflection, sound occlusion, wall occlusion, sounds at misdetected grids, etc. can significantly degrade the ability to locate sound sources in a map. A three-layered selective audio ray tracing mechanism is proposed in this work. The first layer conducts frame-based unreliable ray rejection (sensory rejection) considering sound reflection and wall occlusion. The second layer introduces triangulation and audio tracing to detect falsely detected sound sources, rejecting audio rays associated to these misdetected sounds sources (short-term rejection). A third layer is tasked with rejecting rays using the whole history (long-term rejection) to disambiguate sound occlusion. Experimental results under various situations are presented, which proves the effectiveness of our method.
Su, D, Vidal-Calleja, T & Miro, JV 1970, 'Split conditional independent mapping for sound source localisation with Inverse-Depth Parametrisation', 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Daejeon, Korea, pp. 2000-2006.
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© 2016 IEEE. In this paper, we propose a framework to map stationary sound sources while simultaneously localise a moving robot. Conventional methods for localisation and sound source mapping rely on a microphone array and either, 1) a proprioceptive sensor only (such as wheel odometry) or 2) an additional exteroceptive sensor (such as cameras or lasers) to get accurately the robot locations. Since odometry drifts over time and sound observations are bearing-only, sparse and extremely noisy, the former can only deal with relatively short trajectories before the whole map drifts. In comparison, the latter can get more accurate trajectory estimation over long distances and a better estimation of the sound source map as a result. However, in most of the work in the literature, trajectory estimation and sound source mapping are treated as uncorrelated, which means an update on the robot trajectory does not propagate properly to the sound source map. In this paper, we proposed an efficient method to correlate robot trajectory with sound source mapping by exploiting the conditional independence property between two maps estimated by two different Simultaneous Localisation and Mapping (SLAM) algorithms running in parallel. In our approach, the first map has the flexibility that can be built with any SLAM algorithm (filtering or optimisation) to estimate robot poses with an exteroceptive sensor. The second map is built by using a filtering-based SLAM algorithm locating all stationary sound sources parametrised with Inverse Depth Parametrisation (IDP). Robot locations used during IDP initialisation are the common features shared between the two SLAM maps, which allow to propagate information accordingly. Comprehensive simulations and experimental results show the effectiveness of the proposed method.
Subasinghage, K, Gunawardane, K, Lie, T & Kularatna, N 1970, 'Design concepts and preliminary implementations of dual output supercapacitor-assisted low-dropout regulators (DO-SCALDO)', Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016.
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Supercapacitor-assisted low dropout regulators (SCALDO) technique has been developed to improve the end-toend efficiency of linear regulators by factor of 1.33 to 3. In this approach, a low frequency supercapacitor circulation stage is combined with a commercial LDO to achieve the overall efficiency improved design. After successful implementation of various SCALDO prototypes, practically useful further improvements for original concept were considered. Dual output (DO-SCALDO) has been suggested as an improvement to provide two output levels in a single design while maintaining the useful hallmarks of the original SCLADO approach. The new improvement: the DO-SCALDO technique, can generate dual output levels which are same or different. A circuit prototype of a 7V-to-dual-1.5 V DO-SCALDO was built and tested to prove the concept and summary of results are presented.
Subasinghage, K, Gunawardane, K, Lie, T & Kularatna, N 1970, 'Design of an efficiency improved dual-output DC-DC converter utilizing a supercapacitor circulation technique', 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC), 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC), IEEE.
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Sui, Y & Xue, J 1970, 'On-demand strong update analysis via value-flow refinement', Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, FSE'16: 24nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering, ACM, Seattle, WA, pp. 460-473.
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Sui, Y & Xue, J 1970, 'SVF: interprocedural static value-flow analysis in LLVM', Proceedings of the 25th International Conference on Compiler Construction, CGO '16: 14th Annual IEEE/ACM International Symposium on Code Generation and Optimization, ACM, Barcelona, SPAIN, pp. 265-266.
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© 2016 ACM. This paper presents SVF, a tool that enables scalable and precise interprocedural Static Value-Flow analysis for C programs by leveraging recent advances in sparse analysis. SVF, which is fully implemented in LLVM, allows value-flow construction and pointer analysis to be performed in an iterative manner, thereby providing increasingly improved precision for both. SVF accepts pointsto information generated by any pointer analysis (e.g., Andersen's analysis) and constructs an interprocedural memory SSA form, in which the def-use chains of both top-level and address-taken variables are captured. Such value-flows can be subsequently exploited to support various forms of program analysis or enable more precise pointer analysis (e.g., flow-sensitive analysis) to be performed sparsely. By dividing a pointer analysis into three loosely coupled components: Graph, Rules and Solver, SVF provides an extensible interface for users to write their own solutions easily. SVF is publicly available at http://unsw-corg.github.io/SVF.
Sui, Y, Di, P & Xue, J 1970, 'Sparse flow-sensitive pointer analysis for multithreaded programs', Proceedings of the 2016 International Symposium on Code Generation and Optimization, CGO '16: 14th Annual IEEE/ACM International Symposium on Code Generation and Optimization, ACM, Barcelona, SPAIN, pp. 160-170.
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Sui, Y, Fan, X, Zhou, H & Xue, J 1970, 'Loop-oriented array- and field-sensitive pointer analysis for automatic SIMD vectorization', ACM SIGPLAN Notices, Association for Computing Machinery (ACM), pp. 41-51.
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Compiler-based auto-vectorization is a promising solution to automatically generate code that makes efficient use of SIMD processors in high performance platforms and embedded systems. Two main auto-vectorization techniques, superword-level parallelism vectorization (SLP) and loop-level vectorization (LLV), re- quire precise dependence analysis on arrays and structs in order to vectorize isomorphic scalar instructions and/or reduce dynamic dependence checks incurred at runtime. The alias analyses used in modern vectorizing compilers are either intra-procedural (without tracking inter-procedural data-flows) or inter-procedural (by using field-insensitive models, which are too imprecise in handling arrays and structs). This paper pro- poses an inter-procedural Loop-oriented Pointer Analysis, called LPA, for analyzing arrays and structs to support aggressive SLP and LLV optimizations. Unlike field-insensitive solutions that pre- allocate objects for each memory allocation site, our approach uses a fine-grained memory model to generate location sets based on how structs and arrays are accessed. LPA can precisely analyze ar- rays and nested aggregate structures to enable SIMD optimizations for large programs. By separating the location set generation as an independent concern from the rest of the pointer analysis, LPA is designed to reuse easily existing points-to resolution algorithms. We evaluate LPA using SLP and LLV, the two classic vectorization techniques on a set of 20 CPU2000/2006 benchmarks. For SLP, LPA enables it to vectorize a total of 133 more basic blocks, with an average of 12.09 per benchmark, resulting in the best speedup of 2.95% for 173.applu. For LLV, LPA has reduced a total of 319 static bound checks, with an average of 22.79 per benchmark, resulting in the best speedup of 7.18% for 177.mesa.
Sun, F, Liu, B, Hou, F, Zhou, H, Gui, L & Chen, J 1970, 'Cournot equilibrium in the mobile virtual network operator oriented oligopoly offloading market', 2016 IEEE International Conference on Communications (ICC), ICC 2016 - 2016 IEEE International Conference on Communications, IEEE.
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© 2016 IEEE. Cellular networks are now facing severe traffic overload problems due to the explosive growth of mobile data traffic. One of the promising solutions is to offload part of the traffic through WiFi. In this paper, we investigate an oligopoly offloading market, where several Mobile Virtual Network Operators (MVNOs) compete to serve end users using the network infrastructure leased from the host Mobile Network Operator (MNO) at the wholesale market. First, we study the competitive interactions among the MVNOs considering the overload problems of the offloading market. Specially, we formulate the interactions as a non-cooperative inventory competition game, where each MVNO determines the amount of cellular traffic it can provide to end users (named as the traffic inventory of each MVNO in this paper) simultaneously. We analyze and derive the existence of the Cournot equilibrium using game theory. Furthermore, we study the impact of the MNO's wholesale price strategy on the market equilibrium. Based on these analysis, we find the optimal initial inventory strategy for these competitors according to the Cournot equilibrium. Finally, our simulations present the process of achieving the market equilibrium and illustrate the impact of the host MNO to the MVNOs.
Sun, L, Vidal-Calleja, T & Miro, JV 1970, 'Gaussian Markov Random Fields for fusion in information form', 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Stockholm, Sweden, pp. 1840-1845.
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© 2016 IEEE. 2.5D maps are preferable for representing the environment owing to their compactness. When noisy observations from multiple diverse sensors at different resolutions are available, the problem of 2.5D mapping turns to how to compound the information in an effective and efficient manner. This paper proposes a generic probabilistic framework for fusing efficiently multiple sources of sensor data to generate amendable, high-resolution 2.5D maps. The key idea is to exploit the sparse structure of the information matrix. Gaussian Markov Random Fields are employed to learn a prior map, which uses the conditional independence property between spatial location to obtain a representation of the state with a sparse information matrix. This prior map encoded in information form can then be updated with other sources of sensor data in constant time. Later, mean state vector and variances can be also efficiently recovered using sparse matrices techniques. The proposed approach allows accurate estimation of 2.5D maps at arbitrary resolution, while incorporating sensor noise and spatial dependency in a statistically sound way. We apply the proposed framework to pipe wall thickness mapping and fuse data from two diverse sensors that have different resolutions. Experimental results are compared with three other methods, showing that, while greatly reducing computation time, the proposed framework is able to capture in large extend the spatial correlation to generate equivalent results to the computationally expensive optimal fusion method in covariance form with a Gaussian Process prior.
Sun, QD, Indraratna, B & Nimbalkar, S 1970, 'The Deformation and Degradation of Granular Material under High-Frequency Cyclic Loading', Geotechnical and Structural Engineering Congress 2016, Geotechnical and Structural Engineering Congress 2016, American Society of Civil Engineers, Pheonix, Arizona, United States, pp. 1700-1707.
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© ASCE.In order to understand the permanent deformation and degradation of railway ballast under high speed train loading, a series of cyclic triaxial tests were conducted using large-scale cylindrical apparatus. The frequency was used from 5 Hz to 60 Hz corresponding to the train speeds from about 40 km/h to 400 km/h. Three types of permanent deformation mechanisms were observed in response to the applied cyclic loads, namely, plastic shakedown at relatively lower frequency, ratcheting at an increased frequency, and plastic collapse at higher frequencies. Correspondingly, four types of particle degradation were observed. The magnitudes of ballast deformation and degradation were found to increase with the frequency and number of load cycles. A critical train speed was identified. Moreover, a good correlation was obtained between particle breakage and volumetric strain under cyclic loading.
Sun, S, Huang, X, Liu, J & Cheng, X 1970, 'Welcome message from TPC chairs', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE.
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Sun, W-J, Chen, C, Liu, S-Q, Sun, D-A, Liang, X-H, Tan, Y-Z & Fatahi, B 1970, 'Study on GMZ bentonite-sand mixture by undrained triaxial tests', E3S Web of Conferences, European Conference on Unsaturated Soils, EDP Sciences, Paris, France, pp. 18006-18006.
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© 2016 The Authors.It is particularly necessary to study the deformation, strength and the changes of pore water pressure of bentonite-based buffer/backfill materials under the undrained condition. A series of isotropic compression tests and triaxial shear tests under undrained conditions were conducted on the compacted saturated/unsaturated GMZ bentonite-sand mixtures with dry mass ratio of bentonite/sand of 30:70. During the tests, the images of the sample were collected by photographic equipment and subsequently were cropped, binarized and centroids marked by image processing technique. Based on identification of the variation of the position of marked centroids, the deformation of the sample can be determined automatically in real-time. Finally, the hydro-mechanical behaviour of saturated and unsaturated bentonite-sand mixtures under the undrained condition can be obtained. From results of triaxial shear tests on unsaturated samples under constant water content, inflated volumetric deformation transforms to contractive volumetric deformation due to the increase of the confining pressure and lateral expansion deformation are observed due to the increase in the shearing stress. Moreover, the net mean stress affects the initial stiffness, undrained shear strength and deformation of the sample during the undrained shear tests.
Sutter, D, Tomamichel, M & Harrow, AW 1970, 'Strengthened monotonicity of relative entropy via pinched Petz recovery map', 2016 IEEE International Symposium on Information Theory (ISIT), 2016 IEEE International Symposium on Information Theory (ISIT), IEEE, Barcelona, pp. 760-764.
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Suwanwiwat, H, Pal, U & Blumenstein, M 1970, 'An Automatic Off-Line Short Answer Assessment System Using Novel Hybrid Features', 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, Gold Coast, Queensland, Australia.
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To date, paper-based examinations are still in use worldwide on all levels of education levels (e.g. secondary, tertiary levels). However, literature regarding off-line automatic assessment systems employing off-line handwriting recognition is not numerous. This paper proposes an off-line automatic assessment system employing a hybrid feature extraction technique - a newly proposed Modified Direction and Gaussian Grid Feature (MDGGF), along with its enhanced technique. In this study other original feature extraction techniques, together with their enhanced features, were also used for feature extraction technique efficiency comparison purposes. Classifiers, namely artificial neural networks and support vector machines, were selected to be employed in the experiments. Two types of datasets were employed in the experiment for both feature extraction technique accuracy and efficiency comparisons. The best correctly recognised rate of 98.33% with 100% accuracy was obtained when employing the proposed MDGGF to the off-line automatic assessment system.
Suwanwiwat, H, Pal, U & Blumenstein, M 1970, 'An investigation of novel combined features for a handwritten short answer assessment system', Proceedings of International Conference on Frontiers in Handwriting Recognition, ICFHR, International Conference on Frontiers in Handwriting Recognition, IEEE, pp. 102-107.
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This paper proposes an off-line automatic assessment system utilising novel combined feature extraction techniques. The proposed feature extraction techniques are 1) the proposed Water Reservoir, Loop, Modified Direction and Gaussian Grid Feature (WRL-MDGGF), 2) the proposed Gravity, Water Reservoir, Loop, Modified Direction and Gaussian Grid Feature (G-WRL-MDGGF). The proposed feature extraction techniques together with their original features and other combined feature extraction techniques were employed in an investigation of the efficiency of feature extraction techniques on an automatic off-line short answer assessment system. The proposed system utilised two classifiers namely, artificial neural networks and Support Vector Machines (SVMs), two type of datasets and two different thresholds in this investigation. Promising recognition rates of 94.85% and 94.88% were obtained when the proposed WRL-MDGGF and G-WRL-MDGGF were employed, respectively, using SVMs.
Takami, K, Furukawa, T, Kumon, M & Dissanayake, G 1970, 'Non-Field-of-View Acoustic Target Estimation in Complex Indoor Environment', Proceedings of the 10th Field and Service Robotics (FSR), International Conference on Field and Service Robotics, Springer International Publishing, Toronto, Canada, pp. 577-592.
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© Springer International Publishing Switzerland 2016.This paper presents a new approach which acoustically localizes a mobile target outside the Field-of-View (FOV), or the Non-Field-of-View (NFOV), of an optical sensor, and its implementation to complex indoor environments. In this approach, microphones are fixed sparsely in the indoor environment of concern. In a prior process, the Interaural Level Difference IID of observations acquired by each set of two microphones is derived for different sound target positions and stored as an acoustic cue. When a newsound is observed in the environment, a joint acoustic observation likelihood is derived by fusing likelihoods computed from the correlation of the IID of the new observation to the stored acoustic cues. The location of the NFOVtarget is finally estimated within the recursive Bayesian estimation framework. After the experimental parametric studies, the potential of the proposed approach for practical implementation has been demonstrated by the successful tracking of an elderly person needing health care service in a home environment.
Takami, K, Liu, H, Furukawa, T, Kumon, M & Dissanayake, G 1970, 'Non-field-of-view sound source localization using diffraction and reflection signals', 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, Daejeon, Korea, pp. 157-162.
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© 2016 IEEE. This paper describes a non-field-of-view (NFOV) localization approach for a mobile robot in an unknown environment based on an acoustic signal combined with the geometrical information from an optical sensor. The approach estimates the location of a target through the mobile robot's sensor observation frame, which consists of a combination of diffraction and reflection acoustic signals and a 3-D environment geometrical description. This fusion of audio-visual sensor observation likelihoods allows the robot to estimate the NFOV target. The diffraction and reflection observations from the microphone array generate the acoustic joint observation likelihood. The observed geometry also determines far-field or near-field acoustic conditions to improve the estimation of the sound direction of arrival. A mobile robot equipped with a microphone array and an RGB-D sensor was tested in a controlled environment, an anechoic chamber, to demonstrate the NFOV localization capabilities. This resulted in +/-18 degrees, and less than 0.75 m error in angle and distance estimation, respectively.
Takami, K, Liu, H, Makoto, K, Furukawa, T & Dissanayake, G 1970, 'Recursive Bayesian estimation of NFOV target using diffraction and reflection signals', FUSION 2016 - 19th International Conference on Information Fusion, Proceedings, International Conference on Information Fusion, IEEE, Heidelberg, Germany, pp. 1923-1930.
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This paper presents an approach to the recursive Bayesian estimation of non-field-of-view (NFOV) sound source tracking based on reflection and diffraction signals with an incorporation of optical sensors. The approach takes multi-modal sensoy fusion of a mobile robot, which combines an optical 3D environment geometrical description with a microphone array acoustic signal to estimate the target location. The robot estimates target location either in the field-of-view (FOV) or in the NFOV by fusion of sensor observation likelihoods. For the NFOV case, the microphone array provides reflection and diffraction observations to generate a joint acoustic observation likelihood. With the data fusion between the 3D description and the acoustic observation, the target estimation is performed in an unknown environment. Finally, the sensor observation combined with the motion model of the target iteratively performs tracking within a recursive Bayesian estimation framework. The proposed approach was tested with a microphone array with an RGB-D sensor in a controlled anechoic chamber to demonstrate the NFOV tracking capabilities for a moving target.
Tawk, T, Al-Kilidar, H & Bagia, R 1970, 'Skills for Managing Virtual Projects: Are they Gained Through Graduate Project Management Programs?', 27th Annual Conference of the Australasian Association for Engineering Education : AAEE 2016, AAEE - Annual Conference of Australasian Association for Engineering Education, Australasian Association for Engineering Education, Coffs Harbour, Australia.
Teng, J, Zhang, S, He, Z & Sheng, D 1970, 'A New Mechanism of Canopy Effect in Unsaturated Freezing Soils', E3S Web of Conferences, 3rd European Conference on Unsaturated Soils (E-UNSAT), EDP Sciences, Paris, FRANCE, pp. 16008-16008.
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Teng, Q-F, Li, G-F, Zhu, J-G, Guo, Y-G & Li, S-Y 1970, 'ADRC-Based Model Predictive Torque Control for PMSMs fed by Three-Phase Four-Switch Inverters', PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 35th Chinese Control Conference (CCC), IEEE, Chengdu, PEOPLES R CHINA, pp. 4550-4555.
Teng, Q-F, Li, G-F, Zhu, J-G, Guo, Y-G & Li, S-Y 1970, 'ADRC-based model predictive torque control for PMSMs fed by three-phase four-switch inverters', 2016 35th Chinese Control Conference (CCC), 2016 35th Chinese Control Conference (CCC), IEEE, Chengdu, Sichuan Province, China, pp. 4550-4555.
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© 2016 IEEE.A novel automatic disturbances rejection control (ADRC)-based model predictive current control (MPCC) strategy is developed for permanent magnet synchronous motors (PMSMs) fed by three-phase four-switch inverters, an after-fault-topology for fault-tolerant three-phase six-switch inverters. The mathematical model of a PMSM fed by a three-phase four-switch inverter is built firstly. Then the ADRC and MPCC are respectively designed, with the former being used to realize disturbance estimation and disturbance compensation while the latter being used to reduce stator current ripple and improve the quality of the torque and speed control. The resultant ADRC-based MPCC PMSM fed by an unhealthy inverter has fault-tolerant effective with dynamical performance very close to an ADRC-based MPCC PMSM fed by a healthy inverter. On the other hand, compared with PI-based MPCC PMSM fed by an unhealthy inverter, it possesses better dynamical response behavior and stronger robustness as well as smaller THD index of three-phase stator current in the presence of variation of load torque. The simulation results validate the feasibility and effectiveness of the proposed scheme.
Thiyagarajan, K & Kodagoda, S 1970, 'Analytical Model and Data-driven Approach for Concrete Moisture Prediction', Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), 33th International Symposium on Automation and Robotics in Construction, International Association for Automation and Robotics in Construction (IAARC), Auburn, Alabama, USA., pp. 298-306.
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The advent of smart sensing technologies has opened up new avenues for addressing the billion dollar problem in the wastewater industry of H2S corrosion in concrete sewer pipes, where there is a growing interest in monitoring the environmental properties that govern the rate of corrosion. In this context, this paper proposes a methodology to predict the moisture content of concretes through data-driven approach by using Gaussian Process Regression modeling. The experimental program in this study practices measurements during wetting and drying phases of concrete. The obtained moisture data is used to train the prediction model against interpreted electrical resistivity data. The data of analytical model formulated from Archie's Law is then analyzed with experimental and Gaussian Process prediction data.
Thiyagarajan, K, Kodagoda, S & Alvarez, JK 1970, 'An instrumentation system for smart monitoring of surface temperature', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE, Phuket, Thailand.
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© 2016 IEEE. Reliable sensing is a crucial factor for assessing the structural health conditions of civil infrastructure such as sewerage networks, which are susceptible to hydrogen sulfide induced concrete corrosion. In this context, this paper reports the work on the development and characterization of an instrumentation system using an infrared radiometer for monitoring surface temperature variations of the concrete through non-contact measurements. The surface temperature measurements are gathered by positioning the sensor at different distance and angles from the surface of interest. The effects of ambient lighting conditions during measurements are investigated. Furthermore, the sensing performance of the sensor is evaluated by performing statistical error analysis, and the efficacy of a custom-made signal processing board is tested by comparing the electrical signal with reference measures.
Thiyagarajan, K, Kodagoda, S, Ulapane, N & IEEE 1970, 'Data-driven Machine Learning Approach for Predicting Volumetric Moisture Content of Concrete Using Resistance Sensor Measurements', PROCEEDINGS OF THE 2016 IEEE 11TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), IEEE Conference on Industrial Electronics and Applications, IEEE, Hefei, China, pp. 1288-1293.
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© 2016 IEEE. In sewerage industry, hydrogen sulphide induced corrosion of reinforced concretes is a global problem. To achieve a comprehensive knowledge of the propagation of concrete corrosion, it is vital to monitor the critical factors such as moisture. In this context, this paper investigates the use of resistance measuring and processing for estimating the concrete moisture content. The behavior of concrete moisture with resistance and surface temperature are studied and the effects of pH concentration on concrete are analyzed. Gaussian Process regression modeling is carried out to predict volumetric moisture content of concrete, where the results from experimental data are used to train the prediction model.
Thomas, C, Stankiewicz, L, Grötsch, A, Wischniewski, S, Deuse, J & Kuhlenkötter, B 1970, 'Intuitive Work Assistance by Reciprocal Human-robot Interaction in the Subject Area of Direct Human-robot Collaboration', Procedia CIRP, Elsevier BV, pp. 275-280.
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© 2016 The Authors. The paper focuses on the interaction in human-robot collaboration. On the one hand, the robot assistance system individually aligns itself to the employee and on the other hand, the employee gets an interface which enables him to influence certain robot positions. The aim is to support the employee in assembly tasks. The employee's personal anthropometric data and age-related as well as temporary restrictions in movements are considered by being recorded individually via motion capturing before the workplace is built in a virtual and real environment. Based on the data, task specific movements of the employee are simulated using digital human models for the virtual representation of the employee, combined with an ergonomic analysis within the work environment. The impact of the employee on the assistance robot system is provided by the design of intuitive user interfaces. The positioning of the components in the assembly is done user-specifically by the robot. In addition, the employee gets a graphical user interface and can additionally adjust the position or turn the components. In this paper, preliminary results of this ongoing research project are presented as well as two reference processes from the field of assembly technologies as application examples.
Thuy Do, QN, Zhilin, A, Junior, CZP, Wang, G & Hussain, FK 1970, 'A network-based approach to detect spammer groups', 2016 International Joint Conference on Neural Networks (IJCNN), 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, Vancouver, BC, Canada, pp. 3642-3648.
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© 2016 IEEE. Online reviews nowadays are an important source of information for consumers to evaluate online services and products before deciding which product and which provider to choose. Therefore, online reviews have significant power to influence consumers' purchase decisions. Being aware of this, an increasing number of companies have organized spammer review campaigns, in order to promote their products and gain an advantage over their competitors by manipulating and misleading consumers. To make sure the Internet remains a reliable source of information, we propose a method to identify both individual and group spamming reviews by assigning a suspicion score to each user. The proposed method is a network-based approach combining clustering techniques. We demonstrate the efficiency and effectiveness of our approach on a real-world and manipulated dataset that contains over 8000 restaurants and 600,000 restaurant reviews from TripAdvisor website. We tested our method in three testing scenarios. The method was able to detect all spammers in two testing scenarios, however it did not detect all in the last scenario.
Tian, F, Liu, B, Xiong, J & Gui, L 1970, 'Movement-based incentive for cellular traffic offloading through D2D communications', 2016 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), 2016 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), IEEE.
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© 2016 IEEE. Due to the various applications for smartphones, mobile data traffic is growing at an unprecedented rate. The cellular network is suffering from traffic overloaded currently. Offloading part of the cellular traffic through opportunistic contact between mobile devices is a promising solution to solve the overload problem. However, due to the uneven distribution of devices and regular mobility of smartphone users, the contacts between mobile devices are opportunistic, the cellular traffic offloading approach results in poor performance, i.e., the relay user contacts with other mobile users with small probability. In this paper, we are the first to propose a movement-based incentive mechanism for cellular traffic offloading, where we control the mobility of relay users to improve the performance of traffic offloading. The movement-based incentive mechanism contains a relay user selection algorithm and a payment determination algorithm. Comparing with existing solutions, our proposed movement-based incentive mechanism has better performance.
Tibben, W, Brown, RBK, Beydoun, G & Zamani, R 1970, 'Is consensus a viable concept to justify use of online collaborative networks in multi-stakeholder governance?', 2016 49TH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), Hawaii International Conference on System Sciences (HICSS), IEEE, Kauai, USA, pp. 4665-4674.
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The adoption of multi-stakeholder decision-making processes using online collaborative technologies for Internet governance has facilitated participation of stakeholders from many developing countries in decision making within organizations such as ISOC and ICANN. One important and underlying rationale that gives rise to such arrangements is the notion of consensus. The paper uses the work of Arrow to firstly question whether consensus is indeed a theoretically justifiable concept on which to base multi-stakeholder governance. The paper then further uses Arrow's insights to develop an analytical framework which identifies expertise and authority as two key factors in the analysis of online decision making. The paper presents a conjecture that a significant challenge in ensuring productive multi-stakeholder governance are the practices that govern the ways in which authority and expertise interact. To that end, two potential sources of leadership are defined within online collaborative networks: positional leadership and thought leadership.
Tomamichel, M & Hayashi, M 1970, 'Operational interpretation of Rényi conditional mutual information via composite hypothesis testing against Markov distributions', 2016 IEEE International Symposium on Information Theory (ISIT), 2016 IEEE International Symposium on Information Theory (ISIT), IEEE, Barcelona, Spain, pp. 585-589.
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We revisit the problem of asymmetric binary hypothesis testing against a composite alternative hypothesis. We introduce a general framework to treat such problems when the alternative hypothesis adheres to certain axioms. In this case we find the threshold rate, the optimal error and strong converse exponents (at large deviations from the threshold) and the second-order asymptotics (at small deviations from the threshold). We apply our results to find operational interpretations of Rényi information measures. In particular, in case the alternative hypothesis consists of certain tripartite distributions satisfying the Markov property, we find that the optimal exponents are determined by the Rényi conditional mutual information
Tran, TT, Bray, K, Ford, MJ, Toth, M & Aharonovich, I 1970, 'Quantum Emission from Hexagonal Boron Nitride Monolayers', Optics InfoBase Conference Papers.
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We demonstrate first room temperature, and ultrabright single photon emission from a color center in two-dimensional multilayer hexagonal boron nitride. Density Functional Theory calculations indicate that vacancy-related centers are a likely source of the emission.
Trianni, A & Cagno, E 1970, 'Introduction to Panel 2 Sustainable production design and supply chain initiatives', Eceee Industrial Summer Study Proceedings, pp. 171-172.
Tu, C & Lee, JE-Y 1970, 'Boosting the Quality Factor of Low Impedance VHF Piezoelectric-on-Silicon Lateral Mode Resonators Using Etch Holes', Procedia Engineering, Elsevier BV, pp. 1261-1264.
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Tu, C, Lee, JE-Y, Frank, A, Schaffel, C, Stehr, U & Hein, M 1970, 'Probing anchor losses in AlN-on-Si contour mode MEMS resonators through laser Doppler vibrometry', 2016 IEEE SENSORS, 2016 IEEE SENSORS, IEEE.
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Tuan, HD, Ngo, DT & Minh Tam, HH 1970, 'Joint power allocation for MIMO-OFDM communication with full-duplex relaying', 2016 10th International Conference on Signal Processing and Communication Systems (ICSPCS), 2016 10th International Conference on Signal Processing and Communication Systems (ICSPCS), IEEE, Gold Coast, Australia, pp. 1-7.
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© 2016 IEEE. We address the problem of joint power allocation in a two-hop MIMO-OFDM link where a source node sends data to a destination node via an amplify-and-forward relay. Since the relay operates in the full-duplex mode, it receives and forwards data simultaneously. Our design objective is to maximize the end-to-end throughput, subject to either the joint sum-power constraint of both the source and the relay or the individual sum-power constraints at the source and the relay. The formulated problems are large-scale nonconvex optimization problems, for which efficient and optimal solutions are not available. Using the successive convex optimization approach, we develop a novel iterative algorithm of extremely low complexity that is especially suitable for large-scale computation. In each iteration, a simple closed-form solution is derived for the approximated convex program. The proposed algorithm is proved to always converge to at least a local optimum of the original nonconvex problems. Numerical results confirm that the devised algorithm converges quickly, and that our optimal power allocation solutions help realize the potential throughput gain of MIMO-OFDM full-duplex relaying over the conventional half-duplex relaying strategy.
Tyack, A, Wyeth, P & Johnson, D 1970, 'The Appeal of MOBA Games', Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play, CHI PLAY '16: The annual symposium on Computer-Human Interaction in Play, ACM.
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Ullah, A, Lie, TT, Gunawardane, K & Nair, NKC 1970, 'Development of browne's arc model for HTS applications', 2016 IEEE International Conference on Power System Technology (POWERCON), 2016 IEEE International Conference on Power System Technology (POWERCON), IEEE.
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Usman, M, Jan, MA, He, X & Nanda, P 1970, 'Data Sharing in Secure Multimedia Wireless Sensor Networks', 2016 IEEE Trustcom/BigDataSE/ISPA, 2016 IEEE Trustcom/BigDataSE/ISPA, IEEE, Tianjin, China, pp. 590-597.
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© 2016 IEEE. The use of Multimedia Wireless Sensor Networks (MWSNs) is becoming common nowadays with a rapid growth in communication facilities. Similar to any other WSNs, these networks face various challenges while providing security, trust and privacy for user data. Provisioning of the aforementioned services become an uphill task especially while dealing with real-time streaming data. These networks operates with resource-constrained sensor nodes for days, months and even years depending on the nature of an application. The resource-constrained nature of these networks makes it difficult for the nodes to tackle real-time data in mission-critical applications such as military surveillance, forest fire monitoring, health-care and industrial automation. For a secured MWSN, the transmission and processing of streaming data needs to be explored deeply. The conventional data authentication schemes are not suitable for MWSNs due to the limitations imposed on sensor nodes in terms of battery power, computation, available bandwidth and storage. In this paper, we propose a novel quality-driven clustering-based technique for authenticating streaming data in MWSNs. Nodes with maximum energy are selected as Cluster Heads (CHs). The CHs collect data from member nodes and forward it to the Base Station (BS), thus preventing member nodes with low energy from dying soon and increasing life span of the underlying network. The proposed approach not only authenticates the streaming data but also maintains the quality of transmitted data. The proposed data authentication scheme coupled with an Error Concealment technique provides an energy-efficient and distortion-free real-time data streaming. The proposed scheme is compared with an unsupervised resources scenario. The simulation results demonstrate better network lifetime along with 21.34 dB gain in Peak Signal-to-Noise Ratio (PSNR) of received video data streams.
Vahedian, A, Shrestha, R & Crews, K 1970, 'Modelling the bond slip behaviour of FRP externally bonded to timber', WCTE 2016 - World Conference on Timber Engineering.
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Recent studies and applications have demonstrated that Fibre Reinforced Polymer (FRP) has become a mainstream technology for the strengthening and/ or rehabilitation of ageing and deteriorated structures. However, one of the main problems which limit the full utilisation of the FRP material strength is the premature failure due to debonding. This research study presents 1) a review of available FRP-to-timber and FRP-to-concrete bonded interface models, and 2) investigates factors affecting bond strength. A stepwise regression method has then been employed to evaluate the influence of potential factors on the bond strength. The proposed stepwise regression model is based on 195 experimental results of FRP-to-timber bonded interfaces. Results of this stepwise regression analysis are then assessed with results of pull-out tests and satisfactory comparisons are achieved between measured failure loads (R2=0.59) and the predicted loads (R2=0.71, P<0.0001).
Vakhshouri, B & Nejadi, S 1970, 'ANFIS application to predict the compressive strength of lightweight self-compacting concrete', 2016 Future Technologies Conference (FTC), 2016 Future Technologies Conference (FTC), IEEE, San Francisco, CA, USA, pp. 28-35.
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© 2016 IEEE. Light-weight Self-Compacting Concrete (LWSCC) might be the answer to the increasing construction requirements of slenderer and more heavily reinforced structural elements. However there are limited studies to prove its ability in real construction projects. In conjunction with the traditional methods, artificial intelligent based modeling methods have been applied to simulate the non-linear and complex behavior of concrete in the recent years. Twenty one laboratory experimental investigations on the mechanical properties of LWSCC; published in recent 12 years have been analyzed in this study. The collected information is used to investigate the relationship between compressive strength, elasticity modulus and splitting tensile strength in LWSCC. Analytically proposed model in ANFIS is verified by multi factor linear regression analysis. Comparing the estimated results, ANFIS analysis gives more compatible results and is preferred to estimate the properties of LWSCC.
Van Dong Phung, Hawryszkiewycz, I & Binsawad, MH 1970, 'Classifying knowledge-sharing barriers by organisational structure in order to find ways to remove these barriers', 2016 Eighth International Conference on Knowledge and Systems Engineering (KSE), 2016 Eighth International Conference on Knowledge and Systems Engineering (KSE), IEEE, Hanoi, Vietnam, pp. 73-78.
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© 2016 IEEE.Research in knowledge management (KM) has recently revealed that barriers to knowledge sharing (KS) can significantly influence KS and reduce creativity. KS is a critical contributor to creativity and innovation among individuals in organizations. This paper introduces a framework using the Lotus Blossom technique to classify KS barriers. This technique emphasizes the power of brainstorming on the field of interest by the application of a visual representation of ideas. An exploration of steps to classify barriers is discussed. One of the key aims of the framework is to ensure that barriers can be classified in ways that best identify in order to find ways to remove them. A review of a large number of KM articles in the literature has identified 160 barriers to KS in a variety of organizations. These were classified into eight themes: Social, Individual, Culture, Technology, Political, Organization, Content, and Routine, procedure and process. The paper, then, discussed the most significant barriers to KS: Psychological ownership, Lack of a motivation, Lack of trust, Lack of incentive and reward systems, Lack of organization culture, Lack of leadership, Lack of technical support, Insufficient technology infrastructure. Implications and future research in this area are also proposed.
van Gennip, D, Orth, D, Imtiaz, MA, van den Hoven, E & Plimmer, B 1970, 'Tangible cognition', Proceedings of the 28th Australian Conference on Computer-Human Interaction - OzCHI '16, the 28th Australian Conference, ACM Press, Launceston, Tasmania, Australia.
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This workshop will explore the relationship between HCI using tangible user interfaces (TUIs) and cognition. We see exciting opportunities for tangible interaction to address some of the cognitive challenges of concern to the HCI community, in areas such as education, healthcare, games, reminiscing and reflection, and community issues. Drawing together the Australasian community, with those from further afield, we hope to strengthen research and build a local community in this exciting and rapidly developing field. Participation is invited from researchers working in tangible user interfaces or those interested in cognition and interaction. During the workshop the majority of the time will be spent in small group discussions and brainstorming solutions.
van Gennip, D, van den Hoven, E & Markopoulos, P 1970, 'The Phenomenology of Remembered Experience', Proceedings of the European Conference on Cognitive Ergonomics, ECCE '16: European Conference on Cognitive Ergonomics, ACM, Nottingham, United Kingdom, pp. 1-8.
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There is a growing interest in interactive technologies that support remembering by considering functional, experiential, and emotional support to their users. Design driven research benefits from an understanding of how people experience autobiographical remembering. We present a phenomenological study in which twenty-two adults were interviewed using the repertory grid technique; we aimed at soliciting personal constructs that characterize people's remembered experiences. Inductive coding revealed that 77,8% of identified constructs could be reliably coded in five categories referring to contentment, confidence/unease, social interactions, reflection, and intensity. These results align with earlier classifications of personal constructs and models of human emotion. The categorization derived from this study provides an empirically founded characterization of the design space of technologies for supporting remembering. We discuss its potential value as a tool for evaluating interactive systems in relation to personal and social memory talk, and outline future improvements.
Veitch, D 1970, 'Past Present and Future of Scaling Behaviour in Telecommunications Networks', The University of Melbourne, Australia..
Veitch, D & Vijayalayan, K 1970, 'Network Timing and the 2015 Leap Second', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Passive and Active Measurement (PAM), Springer International Publishing, Heraklion, Greece, pp. 385-396.
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© Springer International Publishing Switzerland 2016.Using a testbed with reference timestamping, we collected timing data from public Stratum-1 NTP servers during the leap second event of end-June 2015. We found a wide variety of anomalous serverside behaviors, both at the NTP protocol level and in the server clocks themselves, which can last days or even weeks after the event. Out of 176 servers, only 61% had no erroneous behavior related to the leap second event that we could detect.
Versteeg, M, van den Hoven, E & Hummels, C 1970, 'Interactive Jewellery', Proceedings of the TEI '16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction, TEI '16: Tenth International Conference on Tangible, Embedded, and Embodied Interaction, ACM, Eindhoven, The Netherlands, pp. 44-52.
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Many current wearables have a technology-driven background: the focus is primarily on functionality, while their possible personal and social-cultural value is underappreciated. We think that developing wearables from a jewellery perspective can compensate for this. The personal and social cultural values embodied by traditional jewellery are often tightly connected to their function as memento. In this paper we reflect from a jewellery perspective, a memory-studies perspective and a TEI-perspective on three design proposals for interactive jewellery. We identify 1) drawing inspiration from interaction with traditional jewellery, 2) using relatively simple technology with high experiential qualities, 3) abstract and poetic data representation and 4) storing data uniquely on the digital jewel as possible design directions.
Vijayalayan, K & Veitch, D 1970, 'Rot at the roots? Examining public timing infrastructure', IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016 - IEEE Conference on Computer Communications, IEEE, USA.
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© 2016 IEEE.Timekeeping is central to network measurement. In typical systems, its accuracy is ultimately dependent on the forest of timeservers accessible over the network, whose roots are the stratum-1 timeservers, which benefit from reference hardware. It is essential that these servers are accurate and reliable, and it is commonly assumed that this is the case. We put this belief to the test through an examination of around 100 publicly accessible stratum-1 servers, using datasets spanning over 3 years, collected in a testbed with reference timestamping. We develop a methodology capable of disambiguating the effects of routing changes, congestion related variability, and server anomalies on timestamps. We use it to make a first assessment of the health of (public) network timing, by reporting on the type, severity, and frequency of anomalies we encounter.
Vizcarra, GC, Nimbalkar, S & Casagrande, M 1970, 'Modeling Behaviour of Railway Ballast in Prismoidal Apparatus Using Discrete Element Method', Procedia Engineering, International Conference on Transportation Geotechnics (ITGC), Elsevier BV, Advances in Transportation Geotechnics 3, pp. 1177-1184.
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© 2016 The Authors. Published by Elsevier B.V.This article presents the results of numerical simulations of loading tests conducted on coarse particles that simulate railroad ballast. The objective of this study was to evaluate the deformation of ballast under vertical loading and to study the influence of the two different particle size distributions. One of them was according to particle size distribution recommended by Indraratna and co-workers in the past as an improvement to Australian Standard and the other was prepared in accordance with Brazilian standard. The discrete element method offers a new means of studying the response characteristics of railway ballast. The basic idea of discrete element method (DEM) is that arbitrary discontinuities are divided into a set of rigid elements, making each rigid element satisfy the equations of motion, use time step iteration method for solving the equations of motion of rigid elements, and then obtain the overall movement patterns of arbitrary discontinuities. In this study, the discrete element method of analysis has been used to simulate the geotechnical behaviour of railway ballast observed during the triaxial testing. Three-dimensional numerical simulations were performed using discrete element modeling approach.
Void, T, Braun, R & Lundesgaard, D 1970, 'Flipped classroom — Students as producers', 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), IEEE, Istanbul, Turkey, pp. 1-6.
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© 2016 IEEE. Flipped classroom is something that more and more teachers add to their teaching plans. To use video recordings of their lectures as a support for the students and then focus more on working with the curriculum in class has become a method that is adopted by an increasing number of lecturers. In higher education the students are adults. This implies that it needs to be a form of lecturing adapted to adults. From the area of organizational learning, and from andragogy, the key to learning lies in motivation and the motivation is triggered by engagement that in its turn stems from involvement. However, involving the learner in their own learning process is also about 'letting go' of the teachers' full control. But is it necessary to maintain control? Is it possible to view the undertaking as a learning experience also for the teacher/lecturer? What control should be executed and what can one let go of? The research done at Hedmark University of Applied Sciences, show some interesting features. The courses have been 'Learning Organizations' (autumn) and 'Knowledge Management' (spring). The lectures have been in the form of streaming video and the course is organized as three full day seminars each semester/course. Each day has had a similar approach: a browse through the different chapters that are going to be discussed. Then follows solving assignments related to the presented topics, first in small groups, then in plenary. Before the lunch break, the students present suggestions towards possible new assignments. During the lunch break, the lecturer writes up the assignment using the input from the students. There is a quality check regarding the topics being within the scope of the seminar. After the lunch break, the students solve the assignment, first in small groups, then in plenary. The assignment and solution(s) are discussed using the following standard: 1. What did we learn from the assignment? 2. What did we learn from making the ass...
Voinov, A, Pierce, S & Barreteau, O 1970, 'Stream D sessions', Environmental Modelling and Software for Supporting a Sustainable Future, Proceedings - 8th International Congress on Environmental Modelling and Software, iEMSs 2016, p. 803.
vom Stein, N, Sick, N & Leker, J 1970, 'Interaction of calculated and perceived distance dimensions – Evidence from a battery research project', PICMET’16 'Technology Management for Social Innovation', Honolulu, Hawaii, USA.
Vongphachanh, S, Milne-Home, W & Ball, J 1970, 'Groundwater Recharge Estimation in Sukhuma District, Champasak Province, Southern Laos: A Preliminary Assessment', 37th Hydrology & Water Resources Symposium 2016: Water, Infrastructure and the Environment, Water Infrastructure and the Environment Conference, Engineers Australia, Millennium Hotel, Queenstown, New Zealand, pp. 508-587.
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Southern Laos is undergoing economic and agricultural development, resulting in a large increase in groundwater and surface water use. However, these water resources are not known in detail. This study aims to investigate the groundwater and surface water interactions in the Sukhuma District of Champasak Province using a network of sixteen rain gauges and groundwater levels measurement points. Groundwater levels are measured weekly in eleven domestic wells, which are pumped irregularly, and also in five observation bores. Aquifer recharge occurs from direct infiltration of rainfall and also is derived using baseflow calculated from daily streamflow measurements at the re-established gauging station on the Khamouan River in Sukhuma District. The Khamouan River is connected to the groundwater in its lower reaches in both dry and wet seasons. Baseflow proportion to the total streamflow in the wet season 2015 has been estimated at 46%. The distribution of direct recharge has been mapped with ArcGIS and is spatially variable. Preliminary estimates of rainfall recharge have been calculated by the water table fluctuation method for 2015 but show a high degree of uncertainty related to the specific yield estimates. Time series analysis has confirmed the observed lag of some three to four weeks between the wet season start and rise in groundwater levels. These preliminary results indicate that there is close interaction between groundwater and surface water in the Sukhuma District. Further analysis will refine these results and extend them through remote sensing across southern Laos for application to integrated water resources management.
Vongphachanh, S, Milne-Home, W & Ball, JE 1970, 'Water infrastructure and the environment conference, 28 Nov – 2 Dec 2016, millennium hotel, queenstown, New Zealand groundwater recharge estimation in sukhuma district, champasak province, southern Laos: A preliminary assessment', 37th Hydrology and Water Resources Symposium 2016: Water, Infrastructure and the Environment, HWRS 2016.
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Southern Laos is undergoing economic and agricultural development, resulting in a large increase in groundwater and surface water use. However, these water resources are not known in detail. This study aims to investigate the groundwater and surface water interactions in the Sukhuma District of Champasak Province using a network of sixteen rain gauges and groundwater levels measurement points. Groundwater levels are measured weekly in eleven domestic wells, which are pumped irregularly, and also in five observation bores. Aquifer recharge occurs from direct infiltration of rainfall and also is derived using baseflow calculated from daily streamflow measurements at the re-established gauging station on the Khamouan River in Sukhuma District. The Khamouan River is connected to the groundwater in its lower reaches in both dry and wet seasons. Baseflow proportion to the total streamflow in the wet season 2015 has been estimated at 46%. The distribution of direct recharge has been mapped with ArcGIS and is spatially variable. Preliminary estimates of rainfall recharge have been calculated by the water table fluctuation method for 2015 but show a high degree of uncertainty related to the specific yield estimates. Time series analysis has confirmed the observed lag of some three to four weeks between the wet season start and rise in groundwater levels. These preliminary results indicate that there is close interaction between groundwater and surface water in the Sukhuma District. Further analysis will refine these results and extend them through remote sensing across southern Laos for application to integrated water resources management.
Wakefield, J, Tyler, J, Dyson, L & Frawley, J 1970, 'Implications of Tablet Computing Annotation and Sharing Technology on Student Learning', American Accounting Association Annual Meeting, New York.
Wakefield, JA, Tyler, J, Dyson, L & Frawley, J 1970, 'Implications of tablet computing enabled sharing and annotation technology on introductory accounting student performance', AFAANZ, Gold Coast.
Wang, B, Gao, Y, Sun, C, Blumenstein, M & La Salle, J 1970, 'A Local Scale Selection Scheme for Multiscale Area Integral Invariants', 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, Gold Coast, QLD, Australia.
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© 2016 IEEE.Area integral invariant (AII) is a functional obtained by performing integral operations on the closed planar contour of a shape via the convolution with disc kernels. This shape descriptor is insensitive to noise and robust with respect to occlusions. AII intrinsically introduces the notion of scale using the size of kernel radius. However how to select an optimal scale remains unresolved. In this paper, we propose a local scale selection scheme for generating multiscale area integral invariants. For the same scale level, the disc kernel size is not fixed and varies with the contour point where the disc is centered. This scheme also provides a scale assignment for emphasising the features extraction at finer scales. The strong discriminative power of the multiscale area integral invariant derived from the proposed scale selection scheme has been validated through experiments on very challenging leaf image retrievals.
Wang, D, Deng, S & Xu, G 1970, 'GEMRec: A Graph-Based Emotion-Aware Music Recommendation Approach', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Web Information Systems Engineering, Springer International Publishing, Shanghai, China, pp. 92-106.
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© Springer International Publishing AG 2016. Music recommendation has gained substantial attention in recent times. As one of the most important context features,user emotion has great potential to improve recommendations,but this has not yet been sufficiently explored due to the difficulty of emotion acquisition and incorporation. This paper proposes a graph-based emotion-aware music recommendation approach (GEMRec) by simultaneously taking a user’s music listening history and emotion into consideration. The proposed approach models the relations between user,music,and emotion as a three-element tuple (user,music,emotion),upon which an Emotion Aware Graph (EAG) is built,and then a relevance propagation algorithm based on random walk is devised to rank the relevance of music items for recommendation. Evaluation experiments are conducted based on a real dataset collected from a Chinese microblog service in comparison to baselines. The results show that the emotional context from a user’s microblogs contributes to improving the performance of music recommendation in terms of hitrate,precision,recall,and F1 score.
Wang, D, Deng, S, Liu, S & Xu, G 1970, 'Improving Music Recommendation Using Distributed Representation', Proceedings of the 25th International Conference Companion on World Wide Web - WWW '16 Companion, the 25th International Conference Companion, ACM Press, Montreal, Canada, pp. 125-126.
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In this paper, a music recommendation approach based on distributed representation is presented. The proposed approach firstly learns the distributed representations of music pieces and acquires users' preferences from listening records. Then, it recommends appropriate music pieces whose distributed representations are in accordance with target users' preferences. Experiments on a real world dataset demonstrate that the proposed approach outperforms the state-of-the-art methods.
Wang, D, Deng, S, Zhang, X & Xu, G 1970, 'Learning Music Embedding with Metadata for Context Aware Recommendation', Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, ICMR'16: International Conference on Multimedia Retrieval, ACM, New York, USA, pp. 249-253.
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© 2016 ACM. Contextual factors can benefit music recommendation and retrieval tasks remarkably. However, how to acquire and utilize the contextual information still need to be studied. In this paper, we propose a context aware music recommendation approach, which can recommend music appropriate for users' contextual preference for music. In analogy to matrix factorization methods for collaborative filtering, the proposed approach does not require songs to be described by features beforehand, but it learns music pieces' embeddings (vectors in low-dimensional continuous space) from music playing records and corresponding metadata and infer users' general and contextual preference for music from their playing records with the learned embedding. Then, our approach can recommend appropriate music pieces. Experimental evaluations on a real world dataset show that the proposed approach outperforms baseline methods.
Wang, F, He, Y, Qu, J, Xie, Q, Lin, Q, Ni, X, Chen, Y, Yu, R, Lin, C-T & Li, Y 1970, 'An audiovisual BCI system for assisting clinical communication assessment in patients with disorders of consciousness: A case study', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, FL, USA, pp. 1536-1539.
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© 2016 IEEE. The JFK Coma Recovery Scale-Revised (JFK CRS-R), a behavioral scale, is often used for clinical assessments of patients with disorders of consciousness (DOC), such as patients in a vegetative state. However, there has been a high rate of clinical misdiagnosis with the JFK CRS-R because patients with severe brain injures cannot provide sufficient behavioral responses. It is particularly difficult to evaluate the communication function in DOC patients using the JFK CRS-R because a higher level of behavioral responses is needed for communication assessments than for many other assessments, such as an auditory startle assessment. Brain-computer interfaces (BCIs), which provide control and communication by detecting changes in brain signals, can be used to evaluate patients with DOC without the need of behavioral expressions. In this paper, we proposed an audiovisual BCI system to supplement the JFK CRS-R in assessing the communication ability of patients with DOC. In the graphic user interface of the BCI system, two word buttons ('Yes' and 'No' in Chinese) were randomly displayed in the left and right sides and flashed in an alternating manner. When a word button flashed, its corresponding spoken word was broadcast from an ipsilateral headphone. The use of semantically congruent audiovisual stimuli improves the detection performance of the BCI system. Similar to the JFK CRS-R, several situation-orientation questions were presented one by one to patients with DOC. For each question, the patient was required to provide his/her answer by selectively focusing on an audiovisual stimulus (audiovisual 'Yes' or 'No'). As a case study, we applied our BCI system in a patient with DOC who was clinically diagnosed as being in a minimally conscious state (MCS). According to the JFK CRS-R assessment, this patient was unable to communicate consistently. However, he achieved a high accuracy of 86.5% in our BCI experiment. This result indicates his reliable com...
Wang, H, Dutkiewicz, E, Fang, G & Mueck, MD 1970, 'A fair spectrum sharing framework based on topological sort and max weight for femtocells', 2016 Australian Communications Theory Workshop (AusCTW), 2016 Australian Communications Theory Workshop (AusCTW), IEEE, Monash University, Australia.
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Femto base stations will be widely deployed in 5G times for compensating poor cellular coverage for use in residential or small business environments. In this paper, we propose a spectrum sharing framework, where a cluster of femtocells are under the control of a centralized local manager. The framework assumes that each femto base station has the sniffing ability that can detect its neighbor femtocells and the controller can then have complete knowledge of local interference constraints. Unlike distributed WiFi that runs on unlicensed band, the femtocell owned by a carrier runs on licensed band and the carrier prefers a centralized system to a distributed one. Therefore, a fair spectrum sharing policy on the licensed band is more important among carriers to break the monopoly and inefficient spectrum allocation. Considering the spectrum can be spatial reused, an interference graph is adopted to avoid the interference between femtocells of all the carriers. We test the framework not only by comparing the average number of channels per user can get but also the variance to guarantee the fairness. In this framework, the scheme combining topological sort and maximum traffic load of femtocell contributes to keep a better balance on the average number of channels and variance.
Wang, J, Jiang, C, Gao, L, Yu, S, Han, Z & Ren, Y 1970, 'Complex network theoretical analysis on information dissemination over vehicular networks', 2016 IEEE International Conference on Communications (ICC), ICC 2016 - 2016 IEEE International Conference on Communications, IEEE.
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© 2016 IEEE. How to enhance the communication efficiency and quality on vehicular networks is one critical important issue. While with the larger and larger scale of vehicular networks in dense cities, the real-world datasets show that the vehicular networks essentially belong to the complex network model. Meanwhile, the extensive research on complex networks has shown that the complex network theory can both provide an accurate network illustration model and further make great contributions to the network design, optimization and management. In this paper, we start with analyzing characteristics of a taxi GPS dataset and then establishing the vehicular-to-infrastructure, vehicle-to-vehicle and the hybrid communication model, respectively. Moreover, we propose a clustering algorithm for station selection, a traffic allocation optimization model and an information source selection model based on the communication performances and complex network theory.
Wang, JJ-Y, Tsang, I & Gao, X 1970, 'Optimizing Multivariate Performance Measures from Multi-View Data', Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI), Phoenix, Arizona USA, pp. 2152-2158.
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To date, many machine learning applications have multiple views of features, and different applications require specific multivariate performance measures, such as the F-score for retrieval. However, existing multivariate performance measure optimization methods are limited to single-view data, while traditional multi-view learning methods cannot optimize multivariate performance measures directly. To fill this gap, in this paper, we propose the problem of optimizing multivariate performance measures from multi-view data, and an effective method to solve it. We propose to learn linear discriminant functions for different views, and combine them to construct an overall multivariate mapping function for multi-view data. To learn the parameters of the linear discriminant functions of different views to optimize a given multivariate performance measure, we formulate an optimization problem. In this problem, we propose to minimize the complexity of the linear discriminant function of each view, promote the consistency of the responses of different views over the same data points, and minimize the upper boundary of the corresponding loss of a given multivariate performance measure. To optimize this problem, we develop an iterative cutting-plane algorithm. Experiments on four benchmark data sets show that it not only outperforms traditional single-view based multivariate performance optimization methods, but also achieves better results than ordinary multi-view learning methods.
Wang, Q, Ye, X, Wang, S, Sloan, SW & Sheng, D 1970, 'Degree of saturation effect on the grout-soil interface shear strength of soil nailing', E3S Web of Conferences, 3rd European Conference on Unsaturated Soils (E-UNSAT), EDP Sciences, Paris, FRANCE, pp. 15007-15007.
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Wang, R, Thakur, CS, Hamilton, TJ, Tapson, J & van Schaik, A 1970, 'A stochastic approach to STDP', 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2016 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, pp. 2082-2085.
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© 2016 IEEE. We present a digital implementation of the Spike Timing Dependent Plasticity (STDP) learning rule. The proposed digital implementation consists of an exponential decay (exp-decay) generator array and a STDP adaptor array. The weight values are stored in a digital memory, and the STDP adaptor w ill send these values to the exp-decay generator using a digital spike of which the duration is modulated according to these values. The exp-decay generator will then generate an exponential decay, which will be used by the STDP adaptor for performing the weight adaption. The exponential decay, which is computational expensive, is efficiently implemented by using a novel stochastic approach. This stochastic approach was fully analysed and characterised. We use a time multiplexing approach to achieve 8192 (8k) virtual STDP adaptors and exp-decay generators with only one physical adaptor and exp-decay generator respectively. We have validated our stochastic STDP approach with measurement results of a balanced excitation experiment. In that experiment, the competition (induced by STDP) between the synapses can establish a bimodal distribution of the synaptic weights: either towards zero (weak) or the maximum (strong) values. Our stochastic approach is therefore ideal for implementing the STDP learning rule in large-scale spiking neural networks running in real time.
Wang, S, Liu, W, Wu, J, Cao, L, Meng, Q & Kennedy, PJ 1970, 'Training deep neural networks on imbalanced data sets', 2016 International Joint Conference on Neural Networks (IJCNN), 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, Vancouver, Canada, pp. 4368-4374.
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© 2016 IEEE. Deep learning has become increasingly popular in both academic and industrial areas in the past years. Various domains including pattern recognition, computer vision, and natural language processing have witnessed the great power of deep networks. However, current studies on deep learning mainly focus on data sets with balanced class labels, while its performance on imbalanced data is not well examined. Imbalanced data sets exist widely in real world and they have been providing great challenges for classification tasks. In this paper, we focus on the problem of classification using deep network on imbalanced data sets. Specifically, a novel loss function called mean false error together with its improved version mean squared false error are proposed for the training of deep networks on imbalanced data sets. The proposed method can effectively capture classification errors from both majority class and minority class equally. Experiments and comparisons demonstrate the superiority of the proposed approach compared with conventional methods in classifying imbalanced data sets on deep neural networks.
Wang, S, Wang, Q, Ye, X, Sloan, SW & Sheng, D 1970, 'Experimental Study on an Ideal Compaction Grouting into Sand', Geo-China 2016, Fourth Geo-China International Conference, American Society of Civil Engineers, Shandong, PEOPLES R CHINA, pp. 77-84.
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Wang, W, Yin, H, Sadiq, S, Chen, L, Xie, M & Zhou, X 1970, 'SPORE: A sequential personalized spatial item recommender system', 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 2016 IEEE 32nd International Conference on Data Engineering (ICDE), IEEE, Helsinki, pp. 954-965.
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© 2016 IEEE. With the rapid development of location-based social networks (LBSNs), spatial item recommendation has become an important way of helping users discover interesting locations to increase their engagement with location-based services. Although human movement exhibits sequential patterns in LBSNs, most current studies on spatial item recommendations do not consider the sequential influence of locations. Leveraging sequential patterns in spatial item recommendation is, however, very challenging, considering 1) users' check-in data in LBSNs has a low sampling rate in both space and time, which renders existing prediction techniques on GPS trajectories ineffective; 2) the prediction space is extremely large, with millions of distinct locations as the next prediction target, which impedes the application of classical Markov chain models; and 3) there is no existing framework that unifies users' personal interests and the sequential influence in a principled manner. In light of the above challenges, we propose a sequential personalized spatial item recommendation framework (SPORE) which introduces a novel latent variable topic-region to model and fuse sequential influence with personal interests in the latent and exponential space. The advantages of modeling the sequential effect at the topic-region level include a significantly reduced prediction space, an effective alleviation of data sparsity and a direct expression of the semantic meaning of users' spatial activities. Furthermore, we design an asymmetric Locality Sensitive Hashing (ALSH) technique to speed up the online top-k recommendation process by extending the traditional LSH. We evaluate the performance of SPORE on two real datasets and one large-scale synthetic dataset. The results demonstrate a significant improvement in SPORE's ability to recommend spatial items, in terms of both effectiveness and efficiency, compared with the state-of-the-art methods.
Wang, X & Duan, R 1970, 'A semidefinite programming upper bound of quantum capacity', IEEE International Symposium on Information Theory - Proceedings, IEEE International Symposium on Information Theory, IEEE, Barcelona, Spain, pp. 1690-1694.
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Recently the power of positive partial transpose preserving (PPTp) andno-signalling (NS) codes in quantum communication has been studied. We continuewith this line of research and show that the NS/PPTp/NS$\cap$PPTp codesassisted zero-error quantum capacity depends only on the non-commutativebipartite graph of the channel and the one-shot case can be computedefficiently by semidefinite programming (SDP). As an example, the activatedPPTp codes assisted zero-error quantum capacity is carefully studied. We thenpresent a general SDP upper bound $Q_\Gamma$ of quantum capacity and show it isalways smaller than or equal to the 'Partial transposition bound' introduced byHolevo and Werner, and the inequality could be strict. This upper bound isfound to be additive, and thus is an upper bound of the potential PPTp assistedquantum capacity as well. We further demonstrate that $Q_\Gamma$ is strictlybetter than several previously known upper bounds for an explicit class ofquantum channels. Finally, we show that $Q_\Gamma$ can be used to bound thesuper-activation of quantum capacity.
Wang, X & Duan, R 1970, 'On the quantum no-signalling assisted zero-error classical simulation cost of non-commutative bipartite graphs', IEEE International Symposium on Information Theory - Proceedings, IEEE International Symposium on Information Theory, IEEE, Barcelona, Spain, pp. 2244-2248.
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Using one channel to simulate another exactly with the aid of quantumno-signalling correlations has been studied recently. The one-shotno-signalling assisted classical zero-error simulation cost of non-commutativebipartite graphs has been formulated as semidefinite programms [Duan andWinter, IEEE Trans. Inf. Theory 62, 891 (2016)]. Before our work, it wasunknown whether the one-shot (or asymptotic) no-signalling assisted zero-errorclassical simulation cost for general non-commutative graphs is multiplicative(resp. additive) or not. In this paper we address these issues and give ageneral sufficient condition for the multiplicativity of the one-shotsimulation cost and the additivity of the asymptotic simulation cost ofnon-commutative bipartite graphs, which include all known cases such asextremal graphs and classical-quantum graphs. Applying this condition, weexhibit a large class of so-called \emph{cheapest-full-rank graphs} whoseasymptotic zero-error simulation cost is given by the one-shot simulation cost.Finally, we disprove the multiplicativity of one-shot simulation cost byexplicitly constructing a special class of qubit-qutrit non-commutativebipartite graphs.
Wang, X, Sheng, QZ, Yao, L, Li, X, Fang, XS, Xu, X & Benatallah, B 1970, 'Empowering Truth Discovery with Multi-Truth Prediction', Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM'16: ACM Conference on Information and Knowledge Management, ACM, IUPUI, Indianapolis, IN, pp. 881-890.
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Wang, X, Sheng, QZ, Yao, L, Li, X, Fang, XS, Xu, X & Benatallah, B 1970, 'Truth Discovery via Exploiting Implications from Multi-Source Data', Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM'16: ACM Conference on Information and Knowledge Management, ACM, IUPUI, Indianapolis, IN, pp. 861-870.
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Wang, X, Zheng, K, Niu, X, Wu, B & Wu, C 1970, 'Detection of command and control in advanced persistent threat based on independent access', 2016 IEEE International Conference on Communications (ICC), ICC 2016 - 2016 IEEE International Conference on Communications, IEEE, pp. 1-6.
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© 2016 IEEE. Advanced Persistent Threat (APT) imposes increasing threats on cyber security with the developing network attack technologies. APT is a highly interactive, specifically targeted and extremely harmful network-centric attack, which employs various technologies to evade detection during attacks leading to the result that victims will not be aware of attacks until they suffer from tremendous losses. Since command and control (C&C) is an essential component during the lifetime of APT, the detection of it is a practical measure to defend against the APT. In this paper, we analyze the features of C&C in APT and find that the HTTP-based C&C is widely used. Based on the analysis results, we propose a new feature of C&C, i.e., independent access, to characterize the difference between C&C communications and normal HTTP requests. Applying the independent access feature into DNS records, we implement a novel C&C detection method and validate it on public dataset. As a new feature of C&C, its advantages and drawbacks are also analyzed.
Wang, Y, Sheng, D, Ross, K & Toll, DG 1970, 'Modelling of the water retention characteristic of deformable soils', E3S Web of Conferences, 3rd European Conference on Unsaturated Soils (E-UNSAT), EDP Sciences, Paris, FRANCE, pp. 11005-11005.
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Wang, Z & Piccardi, M 1970, 'A pair hidden Markov support vector machine for alignment of human actions', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle, WA, USA.
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Alignment of human actions in videos is an important task for applications such as action comparison and classification. While well-established algorithms such as dynamic time warping are available for this task, they still heavily rely on basic linear cost models and heuristic parameter tuning. In this paper we propose a novel framework that combines the flexibility of the pair hidden Markov model (PHMM) with the effective parameter training of the structural support vector machine (SSVM). The framework extends the scoring function of SSVM to capture the similarity of two input sequences and introduces suitable feature and loss functions. The proposed approach is evaluated against state-of-the-art algorithms such as dynamic time warping (DTW) and canonical time warping (CTW) on pairs of human actions from the Weizmann and Olympic Sports datasets. The experimental results show that the proposed approach is capable of achieving an accuracy improvement of over 7 percentage points over the runner-up on both datasets.
Wantia, N, Esen, M, Hengstebeck, A, Heinze, F, Rossmann, J, Deuse, J & Kuhlenkoetter, B 1970, 'Task planning for human robot interactive processes', 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA), 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE.
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© 2016 IEEE. One of the next steps in factory automation might not exclusively be an automation issue, but instead combining robot and human skills to further improve industrial work processes. For various reasons, there is still a low dissemination of hybrid work processes characterized by direct human robot interaction. For instance, it is very difficult to decide which manual work processes are eligible for a transformation to a human-robot interactive process. Thus, the research project MANUSERV delivers a tool to support this decision process. Here, the central concept is a task planning system capable of generating automated as well as hybrid human-robot solutions. Therefore, a structured description of manual work processes forms the input to the planning system. Subsequently, a simulation system verifies and evaluates the proposed solutions and generates the necessary information for a transformation of the planning results to a real application scenario.
Wei, Z, Feng, Z, Yuan, X, Feng, X, Zhang, Q & Wang, X 1970, 'The achievable capacity scaling laws of 3D cognitive radio networks', 2016 IEEE International Conference on Communications (ICC), ICC 2016 - 2016 IEEE International Conference on Communications, IEEE.
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Weilemann, E, Brune, P & Gill, AQ 1970, 'Do They Miss the Lectures? – Flipped Classroom Perception by Software Engineering Students', Proceedings of ECSEE 2016 - Flipped Classroom Perception by Software Engineering Students, European Conference of Software Engineering Education, Shaker Verlag, Seeon Monastery, Germany, pp. 245-249.
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Wen, S, Li, D, Liu, D, Xu, X, Du, Y, Mitchell, DRG, Shi, B, Shi, X & Jin, D 1970, 'Seed mediated one-pot growth of versatile heterogeneous upconversion nanocrystals for multimodal bioimaging', SPIE Proceedings, SPIE BioPhotonics Australasia, SPIE, Adelaide, South Australia, Australia.
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© 2016 SPIE. The rapid development of a variety of molecular contrast agents makes the multimodality bioimaging highly attractive towards higher resolution, more sensitive, informative diagnosis. The key lies in the development of facile material synthesis that allows the integration of multiple contrast agents, ideally in a way that each of the components should be logically assembled to maximize their performances. Here, we report the one-pot programmable growth of multifunctional heterogeneous nanocrystal with tunable size, shape, composition, and properties. We demonstrated a facile one-pot hot-injection method to enable the highly selectively controlled growth of different sodium lanthanide fluoride nanomaterials in either longitudinal or transversal directions with atomic scale precision. This technique allows the upconversion luminescence signal, MRI signal and x-ray signal logically integrated and optimized within one single versatile nanoplatform for multimode bioimaging. These findings suggest that the facile strategy developed here have the promising to get the desired heterogeneous nanocrystals as an all-in-one contrast agent for integrated and self-correlative multimodal bioimaging.
Wijerathna, B, Falque, R, Kodagoda, S & Dissanayake, G 1970, 'Linear approximation for mapping remaining wall thickness using a magnetic flux leakage sensor', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, ACRA, The University of Queensland, pp. 240-247.
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Use of an unconventional sensor for mapping the remaining wall thickness of a pipe is presented in this paper. This is achieved through the development of a sensor model relating the measurements from a Magnetic Flux Leakage (MFL) sensor to the environment geometry. Conventional sensors, such as laser-range finders commonly used in the robotic community are not able to infer thickness profiles of ferromagnetic structures such as water pipes when the surface is covered with corrosion products. Sensors based on electromagnetic principles or ultrasound are the methods of choice in such situations to estimate the extent of corrosion and predict eventual failure. The general relationship between readings from electromagnetic sensors and the environment geometry is governed by a set of partial differential equations (Maxwells equations). However, in the case of an MFL sensor, it is demonstrated that a linear combination of the thickness profiles can be used to adequately model the sensor signal. Parameters associated with the sensor model are obtained using a two-dimensional finite element simulations. Extensive simulation results are presented to validate the proposed method by estimating a remaining wall thickness map of a realistic pipe.
Wijesiri Pathirana, IS, Uy, B, Mirza, O & Zhu, XQ 1970, 'Numerical Study on the Behaviour of Composite Steel-Concrete Beams Utilising Innovative Blind Bolts', Composite Construction in Steel and Concrete VII, International Conference on Composite Construction in Steel and Concrete 2013, American Society of Civil Engineers, North Queensland, AUSTRALIA, pp. 676-686.
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Willey, K 1970, 'Combining a collaborative learning framework with an e-learning tool to improve learning and professional development in blended learning environments', 2016 Future Technologies Conference (FTC), 2016 Future Technologies Conference (FTC), IEEE, San Francisco, CA, USA, pp. 1303-1304.
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© 2016 IEEE. This demonstration reports applying research in learning dispositions, orientations, agency, identity and collaborative learning to develop a suite of online software tools and resources. These tools have been specifically designed to assist educators to help students take advantage of the affordances of blended learning environments as well recognize, plan and manage the ongoing learning opportunities provided within their professional practice.
Willey, K & Gardner, A 1970, 'The impact of struggling students' self-efficacy, agency and horizons for action on their learning in a flipped environment', 44th Annual Conference of the European Society for Engineering Education - Engineering Education on Top of the World: Industry-University Cooperation, SEFI 2016, SEFI - Annual Conference of European Society for Engineering Education, SEFI, Tampere, Finland.
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Flipped instruction is a form of blended learning that moves significant instruction and preparation outside the classroom to facilitate ‘in class’ time to be used for more participative learning activities. Students report liking flipped instruction compared to the more traditional lecture style delivery format commenting that while it often challenged their approaches to learning, it had a positive impact on their learning
experience and promoted them to become more independent and responsible learners.
However, some students struggle to succeed in flipped learning environments. Alternate learning pathways in the form of an intensive block mode were provided for these students. This paper reports our findings from our exploration of the learning behaviours of students undertaking these alternate sessions.
FINDINGS
Most of the students who undertook the alternate pathway activities described a dependent style of learning. While the alternate activities assisted students to learn, evidence suggests that this may have been in part because their design compensated for underdevelopment in the participants’ self-efficacy and agency that often limited their horizons for action. In particular, the smaller cohort and nature of the activities facilitated more regular and specific feedback much of which was
unsolicited masking low self-efficacy that had previously resulted in students giving up when they encountered difficulties. Similarly, because the instructor in the alternate activities dropped in asking questions and providing feedback, students didn’t need to exercise their own agency in working out how to overcome obstacles or address a problem.
Hence while the alternate block mode activities assisted students to learn, our study suggests that they didn’t particularly develop participant’s self-efficacy, agency and capacity to expand their horizons for action suggesting these students may well struggle again in future subjects that utilise large flipped classrooms....
Woo, Y, Tijing, L & Shon, H 1970, 'Omniphobic membrane using layer-by-layer technique to treat RO brine from CSG produced water by AGMD', The 9th International Desalination Workshop (IDW 2016), The 9th International Desalination Workshop (IDW 2016), Abu Dhabi, UAE.
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The worldwide problem on water scarcity has led to innovations in desalination technologies. The main desalination technologies used nowadays are multi-stage flash distillation and reverse osmosis; however both require large amounts of energy for pure water production. Scarcities in energy and water are considered as two of the top challenges in the world, thus there is a necessity to provide desalination technologies that can address both of these issues. Membrane distillation (MD) is gaining momentum as a potential alternative for water purification and desalination because it can possibly utilize low grade/waste heat, and solar energy with very high recovery (100% theoretical). MD is a thermally-driven membrane separation process utilizing low operating temperature (below 90oC) that allows only water vapor to pass through a hydrophobic, porous membrane, and is operated at ambient pressure or at vacuum pressure. MD is driven by the difference in partial vapor pressure between the hot feed and cold permeate streams.
Woolfrey, J, Liu, D & Carmichael, M 1970, 'Kinematic control of an Autonomous Underwater Vehicle-Manipulator System (AUVMS) using autoregressive prediction of vehicle motion and Model Predictive Control', 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Stockholm, Sweden, pp. 4591-4596.
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© 2016 IEEE. Autonomous Underwater Vehicle-Manipulator Systems (AUVMS) operating in shallow waters or near-surface environments may be exposed to wave disturbances which will cause undesired motion of the end effector. This paper presents a method to maneuver the manipulator joints and counteract undesired motion of the vehicle body, in order to maintain a steady end-effector position in the inertial frame. An Autoregressive (AR) model is used to predict vehicle motion, and then combined with Model Predictive Control (MPC) to optimize joint motion. Simulation was conducted using real data to verify the efficacy of this method.
Wu, C, Hao, H & Li, J 1970, 'Post-Blast Residual Loading Capacity of Ultra-High Performance Concrete Columns', First International Interactive Symposium on UHPC, First International Interactive Symposium on UHPC, Iowa State University Digital Press.
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WU, D, HUSSAIN, F, ZHANG, G, LU, JIE, UNWIN, J & RANCE, G 1970, 'A CLOUD-BASED COMPREHENSIVE HEALTH INFORMATION SYSTEM FRAMEWORK', Uncertainty Modelling in Knowledge Engineering and Decision Making, Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016), WORLD SCIENTIFIC, pp. 612-617.
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© 2016 by World Scientific Publishing Co. Pte. Ltd. Big data appearing in health domain bring great opportunities for the health information system development. To effectively utilize the big health data, three challenges: data heterogeneity, huge data volume and high velocity of data generation, and various kinds of user requirements, need to be dealt with. To solve the problem, this paper proposes a cloud-based comprehensive health information system framework, which uses cloud computing techniques to manage and process the big health data, and provides several data analysis and recommendation services to explore the data and extract values from them.
Wu, D, Lawhern, VJ, Gordon, S, Lance, BJ & Chin-Teng Lin 1970, 'Agreement rate initialized maximum likelihood estimator for ensemble classifier aggregation and its application in brain-computer interface', 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, Budapest, Hungary, pp. 724-729.
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© 2016 IEEE. Ensemble learning is a powerful approach to construct a strong learner from multiple base learners. The most popular way to aggregate an ensemble of classifiers is majority voting, which assigns a sample to the class that most base classifiers vote for. However, improved performance can be obtained by assigning weights to the base classifiers according to their accuracy. This paper proposes an agreement rate initialized maximum likelihood estimator (ARIMLE) to optimally fuse the base classifiers. ARIMLE first uses a simplified agreement rate method to estimate the classification accuracy of each base classifier from the unlabeled samples, then employs the accuracies to initialize a maximum likelihood estimator (MLE), and finally uses the expectation-maximization algorithm to refine the MLE. Extensive experiments on visually evoked potential classification in a brain-computer interface application show that ARIMLE outperforms majority voting, and also achieves better or comparable performance with several other state-of-the-art classifier combination approaches.
Wu, D, Lawhern, VJ, Gordon, S, Lance, BJ & Lin, C-T 1970, 'Offline EEG-based driver drowsiness estimation using enhanced batch-mode active learning (EBMAL) for regression', 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, Budapest, Hungary, pp. 730-736.
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© 2016 IEEE. There are many important regression problems in real-world brain-computer interface (BCI) applications, e.g., driver drowsiness estimation from EEG signals. This paper considers offline analysis: given a pool of unlabeled EEG epochs recorded during driving, how do we optimally select a small number of them to label so that an accurate regression model can be built from them to label the rest? Active learning is a promising solution to this problem, but interestingly, to our best knowledge, it has not been used for regression problems in BCI so far. This paper proposes a novel enhanced batch-mode active learning (EBMAL) approach for regression, which improves upon a baseline active learning algorithm by increasing the reliability, representativeness and diversity of the selected samples to achieve better regression performance. We validate its effectiveness using driver drowsiness estimation from EEG signals. However, EBMAL is a general approach that can also be applied to many other offline regression problems beyond BCI.
Wu, D, Lawhern, VJ, Gordon, S, Lance, BJ & Lin, C-T 1970, 'Spectral meta-learner for regression (SMLR) model aggregation: Towards calibrationless brain-computer interface (BCI)', 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, Budapest, Hungary, pp. 743-749.
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© 2016 IEEE. To facilitate the transition of brain-computer interface (BCI) systems from laboratory settings to real-world application, it is very important to minimize or even completely eliminate the subject-specific calibration requirement. There has been active research on calibrationless BCI systems for classification applications, e.g., P300 speller. To our knowledge, there is no literature on calibrationless BCI systems for regression applications, e.g., estimating the continuous drowsiness level of a driver from EEG signals. This paper proposes a novel spectral meta-learner for regression (SMLR) approach, which optimally combines base regression models built from labeled data from auxiliary subjects to label offline EEG data from a new subject. Experiments on driver drowsiness estimation from EEG signals demonstrate that SMLR significantly outperforms three state-of-the-art regression model fusion approaches. Although we introduce SMLR as a regression model fusion in the BCI domain, we believe its applicability is far beyond that.
Wu, L, Wang, J, Zhu, G, Xu, M & Lu, H 1970, 'Person re-identification via rich color-gradient feature', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle, USA, pp. 1-6.
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© 2016 IEEE. Person re-identification refers to match the same pedestrian across disjoint views in non-overlapping camera networks. Lots of local and global features in the literature are put forward to solve the matching problem, where color feature is robust to viewpoint variance and gradient feature provides a rich representation robust to illumination change. However, how to effectively combine the color and gradient features is an open problem. In this paper, to effectively leverage the color-gradient property in multiple color spaces, we propose a novel Second Order Histogram feature (SOH) for person reidentification in large surveillance dataset. Firstly, we utilize discrete encoding to transform commonly used color space into Encoding Color Space (ECS), and calculate the statistical gradient features on each color channel. Then, a second order statistical distribution is calculated on each cell map with a spatial partition. In this way, the proposed SOH feature effectively leverages the statistical property of gradient and color as well as reduces the redundant information. Finally, a metric learned by KISSME [1] with Mahalanobis distance is used for person matching. Experimental results on three public datasets, VIPeR, CAVIAR and CUHK01, show the promise of the proposed approach.
Wu, S, Jing, X-Y, Yue, D, Zhang, J, Yang, KJ & Yang, J 1970, 'Unsupervised visual domain adaptation via dictionary evolution', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle, Washington, United States.
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© 2016 IEEE. In real-word visual applications, distribution mismatch between samples from different domains may significantly degrade classification performance. To improve the generalization capability of classifier across domains, domain adaptation has attracted a lot of interest in computer vision. This work focuses on unsupervised domain adaptation which is still challenging because no labels are available in the target domain. Most of the attention has been dedicated to seeking domain-invariant feature by exploring the shared structure between domains, ignoring the valuable discriminative information contained in the labeled source data. In this paper, we propose a Dictionary Evolution (DE) approach to construct discriminative features robust to domain shift. Specifically, DE aims to adapt a discriminative dictionary learnt based on labeled source samples to unlabeled target samples through a gradual transition process. We show that the learnt dictionary is endowed with cross-domain data representation ability and powerful discriminant capability. Empirical results on real world data sets demonstrate the advantages of the proposed approach over competing methods.
Wu, S-L, Liu, Y-T, Kuang-Pen Chou, Lin, Y-Y, Jie Lu, Guangquan Zhang, Chun-Hsiang Chuang, Wen-Chieh Lin & Lin, C-T 1970, 'A motor imagery based brain-computer interface system via swarm-optimized fuzzy integral and its application', 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Vancouver, BC, Canada, pp. 2495-2500.
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© 2016 IEEE. A brain-computer interface (BCI) system provides a convenient means of communication between the human brain and a computer, which is applied not only to healthy people but also for people that suffer from motor neuron diseases (MNDs). Motor imagery (MI) is one well-known basis for designing Electroencephalography (EEG)-based real-life BCI systems. However, EEG signals are often contaminated with severe noise and various uncertainties, imprecise and incomplete information streams. Therefore, this study proposes spectrum ensemble based on swam-optimized fuzzy integral for integrating decisions from sub-band classifiers that are established by a sub-band common spatial pattern (SBCSP) method. Firstly, the SBCSP effectively extracts features from EEG signals, and thereby the multiple linear discriminant analysis (MLDA) is employed during a MI classification task. Subsequently, particle swarm optimization (PSO) is used to regulate the subject-specific parameters for assigning optimal confidence levels for classifiers used in the fuzzy integral during the fuzzy fusion stage of the proposed system. Moreover, BCI systems usually tend to have complex architectures, be bulky in size, and require time-consuming processing. To overcome this drawback, a wireless and wearable EEG measurement system is investigated in this study. Finally, in our experimental result, the proposed system is found to produce significant improvement in terms of the receiver operating characteristic (ROC) curve. Furthermore, we demonstrate that a robotic arm can be reliably controlled using the proposed BCI system. This paper presents novel insights regarding the possibility of using the proposed MI-based BCI system in real-life applications.
Wu, W, Li, B, Chen, L & Zhang, C 1970, 'Canonical Consistent Weighted Sampling for Real-Value Weighted Min-Hash', 2016 IEEE 16th International Conference on Data Mining (ICDM), 2016 IEEE 16th International Conference on Data Mining (ICDM), IEEE, Barcelona, Spain, pp. 1287-1292.
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© 2016 IEEE. Min-Hash, as a member of the Locality Sensitive Hashing (LSH) family for sketching sets, plays an important role in the big data era. It is widely used for efficiently estimating similarities of bag-of-words represented data and has been extended to dealing with multi-sets and real-value weighted sets. Improved ConsistentWeighted Sampling (ICWS) has been recognized as the state-of-The-Art for real-value weighted Min- Hash. However, the algorithmic implementation of ICWS is flawed because it violates the uniformity of the Min-Hash scheme. In this paper, we propose a Canonical Consistent Weighted Sampling (CCWS) algorithm, which not only retains the same theoretical complexity as ICWS but also strictly complies with the definition of Min-Hash. The experimental results demonstrate that the proposed CCWS algorithm runs faster than the state-of-The-Arts while achieving similar classification performance on a number of real-world text data sets.
Wu, W, Li, B, Chen, L & Zhang, C 1970, 'Cross-View Feature Hashing for Image Retrieval', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer International Publishing, Auckland, New Zealand, pp. 203-214.
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© Springer International Publishing Switzerland 2016. Traditional cross-view information retrieval mainly rests on correlating two sets of features in different views. However, features in different views usually have different physical interpretations. It may be inappropriate to map multiple views of data onto a shared feature space and directly compare them. In this paper, we propose a simple yet effective Cross-View Feature Hashing (CVFH) algorithm via a “partition and match” approach. The feature space for each view is bi-partitioned multiple times using B hash functions and the resulting binary codes for all the views can thus be represented in a compatible B-bit Hamming space. To ensure that hashed feature space is effective for supporting generic machine learning and information retrieval functionalities, the hash functions are learned to satisfy two criteria: (1) the neighbors in the original feature spaces should be also close in the Hamming space; and (2) the binary codes for multiple views of the same sample should be similar in the shared Hamming space. We apply CVFH to cross view image retrieval. The experimental results show that CVFH can outperform the Canonical Component Analysis (CCA) based cross-view method.
Wyeth, P 1970, 'Session details: Session 8: Play', Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play, CHI PLAY '16: The annual symposium on Computer-Human Interaction in Play, ACM.
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Xiang, H, Xu, X, Zheng, H, Li, S, Wu, T, Dou, W & Yu, S 1970, 'An Adaptive Cloudlet Placement Method for Mobile Applications over GPS Big Data', 2016 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2016 - 2016 IEEE Global Communications Conference, IEEE.
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© 2016 IEEE. Mobile cloud computing provides powerful computing and storage capacity on managing GPS big data by offloading vast workloads to remote clouds. For the mobile applications with urgent computing or communication deadline, it is necessary to reduce the workload transmission latency between mobile devices and clouds. This can be technically achieved by expanding mobile cloudlets that are moving co-located with Access Points (APs). However, it is not-trivial to place such movable cloudlets efficiently to enhance the cloud service for dynamic context-aware mobile applications. In view of this challenge, an adaptive cloudlet placement method for mobile applications over GPS big data is proposed in this paper. Specifically, the gathering regions of the mobile devices are identified based on position clustering, and the cloudlet destination locations are confirmed accordingly. Besides, the traces between the origin and destination locations of these mobile cloudlets are also achieved. Finally, the experimental results demonstrate that the proposed method is both effective and efficient.
Xie, J, Wang, M, Zhou, Y & Li, J 1970, 'Coordinating Discernibility and Independence Scores of Variables in a 2D Space for Efficient and Accurate Feature Selection', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Intelligent Computing Methodologies (ICIC), Springer International Publishing, Lanzhou, China, pp. 116-127.
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© Springer International Publishing Switzerland 2016. Feature selection is to remove redundant and irrelevant features from original ones of exemplars, so that a sparse and representative feature subset can be detected for building a more efficient and accurate classifier. This paper presents a novel definition for the discernibility and independence scores of a feature, and then constructs a two dimensional (2D) space with the feature’s independence as y-axis and discernibility as x-axis to rank features’ importance. This new method is named FSDI (Feature Selection based on Discernibility and Independence of a feature). The discernibility score of a feature is to measure the distinguishability of the feature to detect instances from different classes. The independence score is to measure the redundancy of a feature. All features are plotted in the 2D space according to their discernibility and independence coordinates. The area of the rectangular corresponding to a feature’s discernibility and independence in the 2D space is used as a criterion to rank the importance of the features. Top-k features with much higher importance than the rest ones are selected to form the sparse and representative feature subset for building an efficient and accurate classifier. Experimental results on 5 classical gene expression datasets demonstrate that our proposed FSDI algorithm can select the gene subset efficiently and has the best performance in classification. Our method provides a good solution to the bottleneck issues related to the high time complexity of the existing gene subset selection algorithms.
Xing, P, Zhang, C & Yu, S 1970, 'Service Quality Decision in Service Supply Chain Considering Supervision Behavior Based on Quantum Game', PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON MODELING, SIMULATION AND OPTIMIZATION TECHNOLOGIES AND APPLICATIONS (MSOTA2016), International Conference on Modeling, Simulation and Optimization Technologies and Applications (MSOTA), ATLANTIS PRESS, PEOPLES R CHINA, Xiamen, pp. 155-160.
Xu, B, Zhou, Y, Jiang, Y, He, B, Shen, X & Guan, Y 1970, 'Experimental study of distributed optical fiber sensor in measuring the deformation of large filling bag with dredged soil', 2016 10th International Conference on Sensing Technology (ICST), 2016 10th International Conference on Sensing Technology (ICST), IEEE.
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Xu, R, Fatahi, B & Hokmabadi, AS 1970, 'Influence of Soft Soil Shear Strength on the Seismic Response of Concrete Buildings Considering Soil-Structure Interaction', Geo-China 2016, Fourth Geo-China International Conference, American Society of Civil Engineers, Jinan, Shandong, China, pp. 17-24.
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© ASCE. Influences of undrained shear strength on seismic response of moment resisting concrete building considering soil-structure interaction (SSI) have been studied. A 15-storey building model resting on class Ee soil with different values of undrained shear strength has been simulated through FLAC3D. Fully nonlinear dynamic analysis under four different earthquakes including two far-field and two near-field recordings has been conducted by direct method and results in terms of base shear, maximum lateral displacement, inter-storey drift and spectral acceleration have been compared and discussed. Results indicate that by increasing the undrained shear strength of the subsoil, the superstructure experiences extra base shear under earthquake excitations due to SSI. Furthermore, the maximum lateral displacements and inter-storey drifts of the superstructure increase by adopting higher values for the undraied shear strength of the subsoil. It is concluded that practicing engineers should treat soil properties gained from field or laboratory tests with extreme care when dealing with numerical based seismic design of the soil-structure systems.
Xu, X, Wang, W, Wu, T, Dou, W & Yu, S 1970, 'A Virtual Machine Scheduling Method for Trade-offs Between Energy and Performance in Cloud Environment', 2016 FOURTH INTERNATIONAL CONFERENCE ON ADVANCED CLOUD AND BIG DATA (CBD 2016), 4th International Conference on Advanced Cloud and Big Data (CBD), IEEE, PEOPLES R CHINA, Chengdu, pp. 246-251.
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Xu, X, Wang, W, Wu, T, Dou, W & Yu, S 1970, 'A Virtual Machine Scheduling Method for Trade-Offs Between Energy and Performance in Cloud Environment', 2016 International Conference on Advanced Cloud and Big Data (CBD), 2016 International Conference on Advanced Cloud and Big Data (CBD), IEEE, pp. 246-251.
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© 2016 IEEE. Cloud computing promises on-demand resource provisioning for customers and it has drawn most attention of academia and industry to accommodate their applications in cloud platforms. Currently, cloud datacenters consume a huge amount of power which has become a big concern worldwide. Live virtual machine (VM) migration provides potential opportunities and probabilities to achieve energy savings. However, it is still a challenge to conduct VM scheduling in energy-efficient and performance-guaranteed manners, since VM migrations bring about both energy conservation and VM performance degradation. In this paper, a VM scheduling method for trade-offs between energy and performance in cloud environment is proposed to address the above challenge. Specifically, a joint optimization model is designed to formalize our problem, then a corresponding energy and performance aware VM scheduling method is proposed to determine which VMs should be migrated and where they should be migrated, aiming at reducing energy consumption and mitigating performance degradation. Simulation results demonstrate that the proposed method is both effective and efficient.
Xue, S, Lu, J, Wu, J, Zhang, G & Xiong, L 1970, 'Multi-instance graphical transfer clustering for traffic data learning', 2016 International Joint Conference on Neural Networks (IJCNN), 2016 International Joint Conference on Neural Networks (IJCNN), IEEE, Vancouver, Canada, pp. 4390-4395.
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© 2016 IEEE. In order to better model complex real-world data and to develop robust features that capture relevant information, we usually employ unsupervised feature learning to learn a layer of features representations from unlabeled data. However, developing domain-specific features for each task is expensive, time-consuming and requires expertise of the data. In this paper, we introduce multi-instance clustering and graphical learning to unsupervised transfer learning. For a better clustering efficient, we proposed a set of algorithms on the application of traffic data learning, instance feature representation, distance calculation of multi-instance clustering, multi-instance graphical cluster initialisation, multi-instance multi-cluster update, and graphical multi-instance transfer clustering (GMITC). In the end of this paper, we examine the proposed algorithms on the Eastwest datasets by couples of baselines. The experiment results indicate that our proposed algorithms can get higher clustering accuracy and much higher programming speed.
Yan, H, Sui, Y, Chen, S & Xue, J 1970, 'Automated memory leak fixing on value-flow slices for C programs', Proceedings of the 31st Annual ACM Symposium on Applied Computing, SAC 2016: Symposium on Applied Computing, ACM, pp. 1386-1393.
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© 2016 ACM. C is the dominant programming language for developing embedded software, operating systems, and device drivers. Unlike programs written in managed languages like Java, C programs rely on explicit memory management and are prone to memory leaks. Existing (static or dynamic) detectors only report leaks, but fixing them often requires considerable manual effort by inspecting a list of reported true and false alarms. How to develop on-demand lightweight techniques for automated leak fixing without introducing new memory errors remains challenging. In this paper, we introduce AUTOFIX, a fully automated leak-fixing approach for C programs by combining static and dynamic program analysis. Given a leaky allocation site reported by a static memory leak detector, AUTOFIX performs a graph reachability analysis to identify leaky paths on the value-flow slices of the program, and then conducts a liveness analysis to locate the program points for inserting fixes (i.e., the missing free calls) on the identified leaky paths. We have implemented AUTOFIX in LLVM-3.5.0 and evaluated it using five SPEC2000 benchmarks and three open-source applications. Experimental results show that AUTOFIX can safely fix all the memory leaks reported by a state-of-theart static memory leak detector with small instrumentation overhead.
Yan, Y, Xu, Z, Tsang, I, Long, G & Yang, Y 1970, 'Robust Semi-Supervised Learning through Label Aggregation', Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI), Phoenix, USA, pp. 2244-2250.
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Semi-supervised learning is proposed to exploit both labeled and unlabeled data. However, as the scale of data in real world applications increases significantly, conventional semi-supervised algorithms usually lead to massive computational cost and cannot be applied to large scale datasets. In addition, label noise is usually present in the practical applications due to human annotation, which very likely results in remarkable degeneration of performance in semi-supervised methods. To address these two challenges, in this paper, we propose an efficient RObust Semi-Supervised Ensemble Learning (ROSSEL) method, which generates pseudo-labels for unlabeled data using a set of weak annotators, and combines them to approximate the ground-truth labels to assist semi-supervised learning. We formulate the weighted combination process as a multiple label kernel learning (MLKL) problem which can be solved efficiently. Compared with other semi-supervised learning algorithms, the proposed method has linear time complexity. Extensive experiments on five benchmark datasets demonstrate the superior effectiveness, efficiency and robustness of the proposed algorithm.
YANG, C, ZHU, F & ZHANG, G 1970, 'SAO-BASED TOPIC MODELING FOR COMPETITIVE TECHNICAL INTELLIGENCE: A CASE STUDY IN GRAPHENE', Uncertainty Modelling in Knowledge Engineering and Decision Making, Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016), WORLD SCIENTIFIC.
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Competitive technical intelligence (CTI) tries to identify key technology, current R&D emphases, and key players for intellectual and policy reasons in academia and industry. Many researches apply Latent Dirichlet Allocation (LDA) to CTI mining based on the assumptions of “bag-of-words”, “bag-of-n-grams” or “bag-of-phrases”, which produce the topics at words/phrases level. However, technological words/phrases are not enough to explore problem & solution patterns hidden in technological documents, which are the most important technology intelligence for solution-oriented CTI mining. In this paper, we propose a Subject-Action-Object (SAO)-based LDA model to identify underlying topics represented by related SAOs and explore the problem & solution patterns embodied in SAO structures. SAO-Based LDA model is built based on the “bag-of-SAO” assumption and perform technology analysis at concept level. The validity and feasibility of the proposed method are tested by a case study in the Graphene technology.
Yang, C-HJ, Paul, G, Ward, P & Liu, D 1970, 'A path planning approach via task-objective pose selection with application to an inchworm-inspired climbing robot', 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), IEEE, Banff, Canada, pp. 401-406.
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© 2016 IEEE. This paper presents a stepping path planning approach for a climbing robot inspired kinematically from an inchworm caterpillar's looping locomotion. This approach generates an optimised multi-step path to traverse through space and to land a specific footpad onto a selected point on a surface with a specific footpad orientation. The candidate landing joint configuration for each step is generated by a pose selection process, using an optimisation technique with task-objective functions based on the constraints of the robot. Then another technique is used to obtain a new set of poses satisfying strict constraints of the landing motion. The set of candidate landing poses is used to compute the subsequent steps. A valid motion trajectory, which avoids all obstacles, can be generated by a point-to-point planner for each of the landing poses from the current pose. This single step planning technique is then expanded to multi-step path planning by building a search tree, where a combination of steps is evaluated and optimised by a cost function, which includes objectives related to robot movement. This approach is implemented and validated on the climbing robot in real-world steel bridge environments. The planner successfully finds multi-step paths in these field trials enabling the robot to traverse through several complex structures inside the bridge steel box girders.
Yang, D, Wu, Z, Wang, X, Cao, J & Xu, G 1970, 'Predicting Replacement of Smartphones with Mobile App Usage', Web Information Systems Engineering – WISE 2016 (LNCS), International Conference on Web Information Systems Engineering, Springer International Publishing, Shanghai, China, pp. 343-351.
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© Springer International Publishing AG 2016.To identify right customers who intend to replace the smart phone can help to perform precision marketing and thus bring significant financial gains to cell phone retailers. In this paper,we provide a study of exploiting mobile app usage for predicting users who will change the phone in the future. We first analyze the characteristics of mobile log data and develop the temporal bag-of-apps model,which can transform the raw data to the app usage vectors. We then formularize the prediction problem,present the hazard based prediction model,and derive the inference procedure. Finally,we evaluate both data model and prediction model on real-world data. The experimental results show that the temporal usage data model can effectively capture the unique characteristics of mobile log data,and the hazard based prediction model is thus much more effective than traditional classification methods. Furthermore,the hazard model is explainable,that is,it can easily show how the replacement of smart phones relate to mobile app usage over time.
Yang, X, Zhao, G, Hu, W, Guo, YJ, Yin, YZ & Bah, AO 1970, 'Characteristics of wideband phased array with two-layer metasurface', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, Australia, pp. 852-855.
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© 2016 IEEE. The agile beam scanning ability is attractive feature of phased array over traditional mechanical array, but it is difficult to achieve perfect impedance matching in all the directions. Furthermore, phased array capable of wideband operation is desired in multi-function radar and modern communication systems. In this paper, a wideband tightly coupled array models equipped with two-layer metasurface is presented and its characteristics are investigated. The metasurface consists of two substrates each printed with different periodic metallic patches to accommodate wideband and wide angle applications. The results show that, with the assistance of this artificial metasurface, the phased array can operate over a 5:1 ratio impedance bandwidth (VSWR<3) and the scanning angle is as large as 45°.
Yang, Y, Zhu, X & Heimlich, MC 1970, 'A broadside-coupled meander-line resonator (BCMLR) for ultra-compact millimeter-wave MMIC designs in 0.13μm SiGe technology', 2016 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM), 2016 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM), IEEE, Nanjing, PEOPLES R CHINA.
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Yao, L, Benatallah, B, Wang, X, Tran, NK & Lu, Q 1970, 'Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly', SERVICE-ORIENTED COMPUTING, (ICSOC 2016), 14th International Conference on Service-Oriented Computing (ICSOC), Springer International Publishing, Banff, CANADA, pp. 763-779.
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Yao, Y, Hua, X-S, Shen, F, Zhang, J & Tang, Z 1970, 'A Domain Robust Approach For Image Dataset Construction', Proceedings of the 24th ACM international conference on Multimedia, MM '16: ACM Multimedia Conference, ACM, Amsterdam, The Netherlands, pp. 212-216.
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© 2016 ACM.There have been increasing research interests in automatically constructing image dataset by collecting images from the Internet. However, existing methods tend to have a weak domain adaptation ability, known as the \dataset bias problem". To address this issue, in this work, we propose a novel image dataset construction framework which can generalize well to unseen target domains. In specific, the given queries are first expanded by searching in the Google Books Ngrams Corpora (GBNC) to obtain a richer semantic description, from which the noisy query expansions are then filtered out. By treating each expansion as a \bag" and the retrieved images therein as \instances", we formulate image filtering as a multi-instance learning (MIL) problem with constrained positive bags. By this approach, images from different data distributions will be kept while with noisy images filtered out. Comprehensive experiments on two challenging tasks demonstrate the effectiveness of our proposed approach.
Yao, Y, Zhang, J, Hua, X-S, Shen, F & Tang, Z 1970, 'Extracting Visual Knowledge from the Internet: Making Sense of Image Data', MultiMedia Modeling (LNCS), International Conference on Multimedia Modeling, Springer International Publishing, Miami, USA, pp. 862-873.
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© Springer International Publishing Switzerland 2016.Recent successes in visual recognition can be primarily attributed to feature representation, learning algorithms, and the everincreasing size of labeled training data. Extensive research has been devoted to the first two, but much less attention has been paid to the third. Due to the high cost of manual data labeling, the size of recent efforts such as ImageNet is still relatively small in respect to daily applications. In this work, we mainly focus on how to automatically generate identifying image data for a given visual concept on a vast scale. With the generated image data, we can train a robust recognition model for the given concept. We evaluate the proposed webly supervised approach on the benchmark Pascal VOC 2007 dataset and the results demonstrates the superiority of our method over many other state-ofthe- art methods in image data collection.
Yao, Y, Zhang, J, Shen, F, Hua, X, Xu, J & Tang, Z 1970, 'Automatic image dataset construction with multiple textual metadata', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle, Washington, USA.
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© 2016 IEEE. The goal of this work is to automatically collect a large number of highly relevant images from the Internet for given queries. A novel image dataset construction framework is proposed by employing multiple textual metadata. In specific, the given queries are first expanded by searching in the Google Books Ngrams Corpora to obtain a richer semantic description, from which the visually non-salient and less relevant expansions are then filtered. After retrieving images from the Internet with filtered expansions, we further filter noisy images by clustering and progressively Convolutional Neural Networks (CNN). To verify the effectiveness of our proposed method, we construct a dataset with 10 categories, which is not only much larger than but also have comparable cross-dataset generalization ability with manually labeled dataset STL-10 and CIFAR-10.
Ye, L, Cao, K, Guo, YJ, Huang, X, Beadle, P, Argha, A, Piccardi, M, Zhang, G & Su, SW 1970, 'Inertial Sensor based Post Fall Analysis for False Alarming Reduction', Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, ACTAPRESS, Zurich, Switzerland, pp. 36-43.
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One of the major public health problems among elderly people is falling injury. This study investigates fall detection and prevention by using inertial sensors for which the major existing challenging is how to significantly reduce false alarming in order to enhance the acceptance of elderly users during rehabilitation and daily exercises. Different from most existing approaches in the literature, the behavior after falling will be analyzed in details, which can not only greatly reduce false alarming, but also significantly improves the accuracy of the assessment of the severity of falling injuries.
Ye, L, Su, SW, Lei, D & Nguyen, HT 1970, 'An online recursive autocalibration of triaxial accelerometer', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, Florida, USA, pp. 2038-2041.
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In this paper, we proposed a novel method for autocalibration of triaxial Micro-Electro-Mechanical systems (MEMS) accelerometer that does not require any sophisticated laboratory facilities. In particular, this method is an online calibration method which can be conveniently implemented with the accuracy of MEMS accelerometer being significantly improved. The procedure exploits the fact that the output vector of the accelerometer must match the local gravity in static state condition. To achieve online calibration, the model as well as the cost function are linearized at the beginning, and an online recursive method is then utilized to identify the unknown parameters and remove the bias caused by linearization. This online recursive method is based on damped recursive least square estimation (DRLS), which can significantly reduce the calculation complexity comparing to nonlinear optimization method. In addition, the unknown parameters can be solved in a short time and the estimated parameters can remain stable during calibration. Experimentally, this method was tested by comparing the output results before and after calibration in different condition. It showed that the output, after calibrated by the proposed method, is more accurate with respect to raw output using default factory parameters.
Yi, W, Li, B, Fan, X, Yang, W & Chen, F 1970, 'Bayesian optimization of partition layouts for mondrian processes', IJCAI International Joint Conference on Artificial Intelligence, pp. 2160-2166.
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The Mondrian process (MP) produces hierarchical partitions on a product space as a kd-tree, which can be served as a flexible yet parsimonious partition prior for relational modeling. Due to the recursive generation of partitions and varying dimensionality of the partition state space, the inference procedure for the MP relational modeling is extremely difficult. The prevalent inference method reversible-jump MCMC for this problem requires a number of unnecessary retrospective steps to transit from one partition state to a very similar one and it is prone to fall into a local optimum. In this paper, we attempt to circumvent these drawbacks by proposing an alternative method for inferring the MP partition structure. Based on the observation that similar cutting rate measures on the partition space lead to similar partition layouts, we propose to impose a nonhomogeneous cutting rate measure on the partition space to control the layouts of the generated partitions - the original MCMC sampling problem is thus transformed into a Bayesian global optimization problem. The empirical tests demonstrate that Bayesian optimization is able to find better partition structures than MCMC sampling with the same number of partition structure proposals.
Ying Huang, Fujin Zhu, Ying Guo, Porter, AL, Yi Zhang & Donghua Zhu 1970, 'Exploring Technology evolution pathways to facilitate Technology management: A study of Dye-sensitized solar cells (DSSCs)', 2016 Portland International Conference on Management of Engineering and Technology (PICMET), 2016 Portland International Conference on Management of Engineering and Technology (PICMET), IEEE, Honolulu, HI, USA, pp. 764-776.
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© 2016 Portland International Conference on Management of Engineering and Technology, Inc. Market competition drives attention to the prospects of New and Emerging Science & Technologies (NESTs), which are fast changing and, so far, have relatively limited applications. Technology evolution pathways, as a powerful representation of the development of technology, have caught researchers' interest as a tool to trace historical progression, explore knowledge diffusion, and forecast future NESTs trends. Citation analysis approaches are actively applied to structure a large number of patents, map patent distribution, and capture knowledge transfer and change in technologies or industries. This paper (1) introduces the indicator of connectivity and modularity in the interior citation network to identify the technology development stage; (2) takes family patent information into the process of building a comprehensive patent citation network; (3) extracts technological trajectories by applying integrated approaches of main path analyses, namely global main path analysis and global key-route main analysis, among different technological stages. We illustrate this approach with Dye-sensitized solar cells (DSSCs), as an example of a promising NEST, contributing to the remarkable growth in the renewable energy industry. The results show how our method can trace the main development trajectory of a research field and discern the technology focus to help decision-makers facilitate technology management.
Yiyi Liao, Kodagoda, S, Yue Wang, Lei Shi & Yong Liu 1970, 'Understand scene categories by objects: A semantic regularized scene classifier using Convolutional Neural Networks', 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Stockholm, Sweden, pp. 2318-2325.
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Scene classification is a fundamental perception task for environmental understanding in today's robotics. In this paper, we have attempted to exploit the use of popular machine learning technique of deep learning to enhance scene understanding, particularly in robotics applications. As scene images have larger diversity than the iconic object images, it is more challenging for deep learning methods to automatically learn features from scene images with less samples. Inspired by human scene understanding based on object knowledge, we address the problem of scene classification by encouraging deep neural networks to incorporate object-level information. This is implemented with a regularization of semantic segmentation. With only 5 thousand training images, as opposed to 2.5 million images, we show the proposed deep architecture achieves superior scene classification results to the state-of-the-art on a publicly available SUN RGB-D dataset. In addition, performance of semantic segmentation, the regularizer, also reaches a new record with refinement derived from predicted scene labels. Finally, we apply our model trained on SUN RGB-D dataset to a set of images captured in our university using a mobile robot, demonstrating the generalization ability of the proposed algorithm.
Yu, K, Berkovsky, S, Conway, D, Taib, R, Zhou, J & Chen, F 1970, 'Trust and Reliance Based on System Accuracy', Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, UMAP '16: User Modeling, Adaptation and Personalization Conference, ACM, pp. 223-227.
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Trust plays an important role in various user-facing systems and applications. It is particularly important in the context of decision support systems, where the system's output serves as one of the inputs for the users' decision making processes. In this work, we study the dynamics of explicit and implicit user trust in a simulated automated quality monitoring system, as a function of the system accuracy. We establish that users correctly perceive the accuracy of the system and adjust their trust accordingly.
Yu, X & Porikli, F 1970, 'Ultra-Resolving Face Images by Discriminative Generative Networks', Springer International Publishing, pp. 318-333.
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Yuan, L, Qin, L, Lin, X, Chang, L & Zhang, W 1970, 'I/O Efficient ECC Graph Decomposition via Graph Reduction.', Proc. VLDB Endow., International Conference on Very Large Databases, VLDB Endowment, New Delhi, India, pp. 516-527.
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© 2016 VLDB Endowment 21508097/16/03.The problem of computing k-edge connected components (k-ECCs) of a graph G for a specific k is a fundamental graph problemand has been investigated recently. In this paper, we study the problemof ECC decomposition, which computes the k-ECCs of a graphG for all k values. ECC decomposition can be widely applied ina variety of applications such as graph-topology analysis, communitydetection, Steiner component search, and graph visualization.A straightforward solution for ECC decomposition is to apply theexisting k-ECC computation algorithm to compute the k-ECCs forall k values. However, this solution is not applicable to large graphsfor two challenging reasons. First, all existing k-ECC computationalgorithms are highly memory intensive due to the complex datastructures used in the algorithms. Second, the number of possiblek values can be very large, resulting in a high computational costwhen each k value is independently considered. In this paper, weaddress the above challenges, and study I/O efficient ECC decompositionvia graph reduction. We introduce two elegant graph reductionoperators which aim to reduce the size of the graph loadedin memory while preserving the connectivity information of a certainset of edges to be computed for a specific k. We also proposethree novel I/O efficient algorithms, Bottom-Up, Top-Down, andHybrid, that explore the k values in different orders to reduce the redundantcomputations between different k values. We analyze theI/O and memory costs for all proposed algorithms. In our experiments, we evaluate our algorithms using seven real large datasetswith various graph properties, one of which contains 1:95 billionedges. The experimental results show that our proposed algorithmsare scalable and efficient.
Yuan, X, Wei, Z, Feng, Z, Zhang, Q & Li, W 1970, 'Throughput scaling laws of hybrid wireless networks with proximity preference', 2016 IEEE Wireless Communications and Networking Conference, 2016 IEEE Wireless Communications and Networking Conference (WCNC), IEEE.
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Zafar, R, Yafi, E, Zuhairi, MF & Dao, H 1970, 'Big Data: The NoSQL and RDBMS review', 2016 International Conference on Information and Communication Technology (ICICTM), 2016 International Conference on Information and Communication Technology (ICICTM), IEEE.
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Zeng, X, Lu, J, Kerre, EE, Martinez, L & Koehl, L 1970, 'Foreword', Uncertainty Modelling in Knowledge Engineering and Decision Making - Proceedings of the 12th International FLINS Conference, FLINS 2016, WORLD SCIENTIFIC PUBL CO PTE LTD, pp. v-vi.
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Zhan, Y, Xu, D, Yu, H & Yu, S 1970, 'Breaking the Split Incentive Hurdle via Time-Varying Monetary Rewards', 2016 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2016 - 2016 IEEE Global Communications Conference, IEEE.
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© 2016 IEEE. Demand response is widely employed by today's data centers to response to the increasing of electricity cost. To incentivize users of data centers participate in the demand response programs, i.e., breaking the split incentive hurdle, some prior researches proposed market-based mechanisms such as dynamic pricing and static monetary rewards. However, these mechanisms are either intrusive or unfair. In this paper, we use time-varying rewards to incentivize users of data centers grant time-shifting of their requests. With a game-theoretic framework, we model/analyze the game between a single data center and its users. Further, we extend our design via integrating it with another emerging practical demand response strategies: server shutdown or local renewable energy generation. With real-world data traces, we show that a data center with our design can effectively shed its peak electricity load and overall electricity cost without reducing its profit, when compared with the current practice where no incentive mechanism is established.
Zhang, C, Tong, W, Ma, X, Tang, R & Zhu, J 1970, 'Development of a High-Speed Permanent Magnet Machine Using Amorphous Alloy Cores', 2016 IEEE Vehicle Power and Propulsion Conference (VPPC), 2016 IEEE Vehicle Power and Propulsion Conference (VPPC), IEEE, Hangzhou, China, pp. 1-5.
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© 2016 IEEE.This paper details the design of high-speed permanent magnet machine made of amorphous alloy core. The motor is rated as 15kW, and base speed is 20000rpm. A multidisciplinary approach is used to optimize the machine. The select of pole-slot numbers is presented in this paper. The effect of converter switching frequency on the machine is analyzed. Meanwhile, the mechanical properties of rotor is analyzed. The machine is prototyped and tested to validate the analytical-computational performances predicted in the design and analysis stage.
Zhang, F, Zhang, T & Yu, H 1970, 'A novel rolling bearing fault diagnosis method', 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), IEEE.
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Zhang, G & Heusdens, R 1970, 'On simplifying the primal-dual method of multipliers', 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Shanghai, China, pp. 4826-4830.
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Recently, the primal-dual method of multipliers (PDMM) has been proposed to solve a convex optimization problem defined over a general graph. In this paper, we consider simplifying PDMM for a subclass of the convex optimization problems. This subclass includes the consensus problem as a special form. By using algebra, we show that the update expressions of PDMM can be simplified significantly. We then evaluate PDMM for training a support vector machine (SVM). The experimental results indicate that PDMM converges considerably faster than the alternating direction method of multipliers (ADMM).
Zhang, G & Piccardi, M 1970, 'Sequential Labeling with Structural SVM Under an Average Precision Loss', Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop on Structural and Syntactic Pattern Recognition (SSPR) / International Workshop on Statistical Techniques in Pattern Recognition (SPR), Springer International Publishing, Mérida, Mexico, pp. 344-354.
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© Springer International Publishing AG 2016.The average precision (AP) is an important and widelyadopted performance measure for information retrieval and classification systems. However, owing to its relatively complex formulation, very few approaches have been proposed to learn a classifier by maximising its average precision over a given training set. Moreover, most of the existing work is restricted to i.i.d. data and does not extend to sequential data. For this reason, we herewith propose a structural SVM learning algorithm for sequential labeling that maximises an average precision measure. A further contribution of this paper is an algorithm that computes the average precision of a sequential classifier at test time, making it possible to assess sequential labeling under this measure. Experimental results over challenging datasets which depict human actions in kitchen scenarios (i.e., TUM Kitchen and CMU Multimodal Activity) show that the proposed approach leads to an average precision improvement of up to 4.2 and 5.7% points against the runner-up, respectively.
Zhang, H & Xu, M 1970, 'Modeling temporal information using discrete fourier transform for recognizing emotions in user-generated videos', 2016 IEEE International Conference on Image Processing (ICIP), 2016 IEEE International Conference on Image Processing (ICIP), IEEE, Phoenix, Arizona, USA, pp. 629-633.
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With the widespread of user-generated Internet videos, emotion recognition in those videos attracts increasing research efforts. However, most existing works are based on framelevel visual features and/or audio features, which might fail to model the temporal information, e.g. characteristics accumulated along time. In order to capture video temporal information, in this paper, we propose to analyse features in frequency domain transformed by discrete Fourier transform (DFT features). Frame-level features are firstly extract by a pre-trained deep convolutional neural network (CNN). Then, time domain features are transferred and interpolated into DFT features. CNN and DFT features are further encoded and fused for emotion classification. By this way, static image features extracted from a pre-trained deep CNN and temporal information represented by DFT features are jointly considered for video emotion recognition. Experimental results demonstrate that combining DFT features can effectively capture temporal information and therefore improve emotion recognition performance. Our approach has achieved a state-of-the-art performance on the largest video emotion dataset (VideoEmotion-8 dataset), improving accuracy from 51.1% to 55.6%.
Zhang, H, Zhu, Y, Qin, L, Cheng, H & Yu, JX 1970, 'Efficient triangle listing for billion-scale graphs.', IEEE BigData, IEEE International Conference on Big Data (Big Data), IEEE Computer Society, Washington, DC, USA, pp. 813-822.
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© 2016 IEEE. This paper addresses the classical triangle listing problem, which aims at enumerating all the tuples of three vertices connected with each other by edges. This problem has been intensively studied in internal and external memory, but it is still an urgent challenge in distributed environment where multiple machines across the network can be utilized to achieve good performance and scalability. As one of the de facto computing methodologies in distributed environment, MapReduce has been used in some of existing triangle listing algorithms. However, these algorithms usually need to shuffle a huge amount of intermediate data, which seriously hinders the scalability on large scale graphs. In this paper, we propose a new triangle listing algorithm in MapReduce, FTL, which utilizes a light weight data structure to substantially reduce the intermediate data transferred during the shuffle stage, and also is equipped with multiple-round techniques to ease the burden on memory and network bandwidth when dealing with graphs at billion scale. We prove that the size of the intermediate data can be well bounded near to the number of triangles in the graph. To further reduce the shuffle size in each round, we also devise a compact data structure to store the intermediate data, which can save space up to 2/3. The extensive experimental results show that our algorithms outperform existing competitors by several times on large real world graphs.
Zhang, J, Guo, Y & Huang, X 1970, 'Framework of Joint Communications and Sensing Using Two Phased Antenna Arrays', Future Land Force Conference, Future Land Force Conference, Adelaide, Australia.
Zhang, J, Li, L & Dorrell, DG 1970, 'D-q coupling suppressed PID controller for the transmission line power flow control using a matrix converter', IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IEEE, Florence, Italy, pp. 6249-6254.
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© 2016 IEEE.This work designs a d-q coupling-suppressed PID controller for the transmission line power flow control using a matrix converter. Matrix converters are used as the power flow controller to regulate the active and reactive power flowing through a transmission line in a power system since there is no bulky energy storage element in this structure. Therefore, the volume is reduced, efficiency increased, and lifetime prolonged. Direct and indirect space vector modulation are investigated and compared. Afterwards, a PID controller is designed to control the power flow. By introducing coupling components into the controller, the coupling effects in the system are suppressed. The proposed strategy can control the active and reactive power efficiently and effectively. Controllable power regions are also obtained. MATLAB/Simulink simulations verify the feasibility and effectiveness of the proposed scheme. An experimental prototype is being developed in order to support the proposition.
Zhang, J, Zhang, J, Lu, J, Shen, C, Curr, K, Phua, R, Neville, R & Edmonds, E 1970, 'SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval', 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, Gold Coast, Australia, pp. 1-6.
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© 2016 IEEE.This paper introduces a dataset of historical images created by the State Library of New South Wales and the University of Technology Sydney (UTS). The dataset has a total of 29713 images with 119 unique labels. Each image contains multiple labels. We use a CNN-based framework to explore the feasibility of our dataset in image multi-labeling and retrieval research, and extract semantic level image features for future research use. The experiment results illustrate that effective deep learning models can be trained on our dataset. We also introduce five applications that can be studied on our historical image dataset.
Zhang, JA, Hay, S & Guo, YJ 1970, 'Directional antennas for point-to-multipoint millimetre wave communications', 2016 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC), 2016 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC, IEEE, Cairns, QLD, 2016, pp. 204-207.
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© 2016 IEEE. In this paper, we investigate the feasibility and potential performance of applying an antenna array of directional elements such as horn antennas for mmWave point-to-multipoint communications. We propose a conceptual design of the array, and review options for antenna elements and mechanical steering devices. We then estimate the achievable performance with respect to link data rate and distance, and show that pointing to users exactly does not always achieve system capacity, but the gap is typically small. We also provide comparison for two types of multiple access schemes.
Zhang, JW, Li, L & Dorrell, DG 1970, 'Applications of the Direct Space Vector Modulation Controlled Matrix Converter as the Unified Power Flow Controller', 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016), 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016), Institution of Engineering and Technology, Liverpool, UK, pp. 1-6.
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© 2016, Institution of Engineering and Technology. All rights reserved. This paper investigates the matrix converter when working as the unified power flow controller which can regulate the active reactive power flowing in a transmission line. A conventional unified power flow controller usually has a DC capacitor; this is removed in the proposed controller. This reduces the volume, improves the efficiency and lifetime, and eliminates the DC voltage control. The detailed direct space vector modulation method for the matrix converter is described. Based on this modulation scheme, a PID controller is designed in order to control the power flow. Coupling effects are suppressed by feedback of the coupling components to the controller. The proposed strategy can control the active and reactive power efficiently and effectively. Simulations based on MATLAB/Simulink help verify the feasibility and effectiveness of the scheme.
Zhang, Q, Wu, D, Zhang, G & Lu, J 1970, 'Fuzzy user-interest drift detection based recommender systems', 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Vancouver, Canada, pp. 1274-1281.
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© 2016 IEEE. Recommender systems aim to provide personalized suggestions to users by modeling user-interests to deal with information overload problem, which is extremely severe in the era of big data. Since user-interests are drifting due to their taste variation on items, recommender systems without considering that will suffer degradation of prediction accuracy. There are two challenges about adapting to user-interest drift in recommender systems: 1) accurately modeling user-interests is not easy since the drift of user-interests may occur in different direction for each user; 2) item features and user-interests are often incomplete and vague, which makes it more difficult to model user-interests. To handle these two issues, this study proposes a fuzzy user-interest drift detection based recommender system that adapts to user-interest drift and improves prediction accuracy. A fuzzy user-interest consistency model is built based on fuzzy set theories, and a user-interest drift detection approach and algorithms are developed based on concept drift techniques to provide guidance to recommendation generation. Empirical experiments are conducted on synthetic and real-world MovieLens datasets. The results show that the proposed approach improves the performance of recommender systems in metric of MAE.
Zhang, Q, Wu, J, Yang, H, Lu, W, Long, G & Zhang, C 1970, 'Global and Local Influence-based Social Recommendation', Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, CIKM'16: ACM Conference on Information and Knowledge Management, ACM, Indianapolis, USA, pp. 1917-1920.
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© 2016 ACM. Social recommendation has been widely studied in recent years. Existing social recommendation models use various explicit pieces of social information as regularization terms, e.g., social links are considered as new constraints. However, social influence, an implicit source of information in social networks, is seldomly considered, even though it often drives recommendations in social networks. In this paper, we introduce a new global and local influence-based social recommendation model. Based on the observation that user purchase behaviour is influenced by both global influential nodes and the local influential nodes of the user, we formulate the global and local influence as an regularization terms, and incorporate them into a matrix factorization-based recommendation model. Experimental results on large data sets demonstrate the performance of the proposed method.
Zhang, Q, Wu, J, Zhang, P, Long, G, Tsang, IW & Zhang, C 1970, 'Inferring Latent Network from Cascade Data for Dynamic Social Recommendation', 2016 IEEE 16th International Conference on Data Mining (ICDM), 2016 IEEE 16th International Conference on Data Mining (ICDM), IEEE, Barcelona, Spain, pp. 669-678.
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© 2016 IEEE. Social recommendation explores social information to improve the quality of a recommender system. It can be further divided into explicit and implicit social network recommendation. The former assumes the existence of explicit social connections between users in addition to the rating data. The latter one assumes the availability of only the ratings but not the social connections between users since the explicit social information data may not necessarily be available and usually are binary decision values (e.g., whether two people are friends), while the strength of their relationships is missing. Most of the works in this field use only rating data to infer the latent social networks. They ignore the dynamic nature of users that the preferences of users drift over time distinctly. To this end, we propose a new Implicit Dynamic Social Recommendation (IDSR) model, which infers latent social network from cascade data. It can sufficiently mine the information contained in time by mining the cascade data and identify the dynamic changes in the users in time by using the latest updated social network to make recommendations. Experiments and comparisons on three real-world datasets show that the proposed model outperforms the state-of-The-Art solutions in both explicit and implicit scenarios.
Zhang, Q, Zhang, Q, Long, G, Zhang, P & Zhang, C 1970, 'Exploring Heterogeneous Product Networks for Discovering Collective Marketing Hyping Behavior', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer International Publishing, Auckland, New Zealand, pp. 40-51.
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© Springer International Publishing Switzerland 2016. Online spam comments often misguide users during online shopping. Existing online spam detection methods rely on semantic clues, behavioral footprints, and relational connections between users in review systems. Although these methods can successfully identify spam activities, evolving fraud strategies can successfully escape from the detection rules by purchasing positive comments from massive random users, i.e., user Cloud. In this paper, we study a new problem, Collective Marketing Hyping detection, for spam comments detection generated from the user Cloud. It is defined as detecting a group of marketing hyping products with untrustful marketing promotion behaviour. We propose a new learning model that uses heterogenous product networks extracted from product review systems. Our model aims to mining a group of hyping activities, which differs from existing models that only detect a single product with hyping activities. We show the existence of the Collective Marketing Hyping behavior in real-life networks. Experimental results demonstrate that the product information network can effectively detect fraud intentional product promotions.
Zhang, T, Gu, M, Zhang, G & Lu, J 1970, 'A fast load pattern extraction approach based on dimension reduction and sampling', 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Vancouver, BC, Canada, pp. 1253-1258.
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© 2016 IEEE. This paper proposes a fast load pattern extraction approach to solve the time consuming problem in using a traditional κ-means clustering method for large volumes of load curves. The approach, based on dimension reduction and sampling, segments and averages sampling characteristic points to reduce the load curve's dimensions, then reduces the overall size of the sample data set using representative random sampling. κ-means clustering algorithm is used to extract load patterns from the representative data set, which will be used to classify the full data set. Reducing the size and dimension of the data set allows use of a less complex algorithm, and thus greatly improves the clustering speed. The validity of the approach is proven by experiments designed to evaluate the trade-off between complexity and consistency.
Zhang, T, Huang, S, Liu, D, Shi, L, Zhou, C & Xiong, R 1970, 'A method of state estimation for underwater vehicle navigation around a cylindrical structure', 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), IEEE, Hefei, China, pp. 101-106.
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© 2016 IEEE. Recently, increasing efforts have been focused on the development and adoption of autonomous underwater vehicles (AUVs) for various applications. However, the GPS signals are usually unavailable, the vehicle dynamics is very uncertain, and the complicated vision based localization algorithms may not work well in the underwater environments. Hence, accurate and timely state estimation using low-cost sensors remains a challenge for the control and navigation of AUVs. This paper considers the state estimation problem for underwater vehicle navigation around a cylindrical structure. The vehicle is assumed to be equipped with only low-cost sensors: an inertia measurement unit (IMU), a pressure sensor and a monocular camera. By exploiting the prior knowledge on the size and shape of the structure, an efficient algorithm for estimating the state of the AUV is developed without using any dynamic model. Firstly, a state observer is proposed under the condition that the localization result (rotational and translational position) is available. Next, we present a method for localization based on the IMU readings, pressure sensor readings and the image of the cylindrical structure, which uses the geometry of the structure and only requires simple image processing (line extraction). Then we prove that the proposed observer is globally stable. Preliminary experimental results and simulation results are reasonable and promising, which implies the proposed method has potential to be used in the real AUV navigation applications.
Zhang, T, Su, S & Nguyen, HT 1970, 'The hybrid bio-inspired aerial vehicle: Concept and SIMSCAPE flight simulation', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, Florida, USA, pp. 2107-2110.
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© 2016 IEEE. This paper introduces a Silver Gull-inspired hybrid aerial vehicle, the Super Sydney Silver Gull (SSSG), which is able to vary its structure, under different manoeuvre requirements, to implement three flight modes: the flapping wing flight, the fixed wing flight, and the quadcopter flight (the rotary wing flight of Unmanned Air Vehicle). Specifically, through proper mechanism design and flight mode transition, the SSSG can imitate the Silver Gull's flight gesture during flapping flight, save power consuming by switching to the fixed wing flight mode during long-range cruising, and hover at targeted area when transferring to quadcopter flight mode. Based on the aerodynamic models, the Simscape, a product of MathWorks, is used to simulate and analyse the performance of the SSSG's flight modes. The entity simulation results indicate that the created SSSG's 3D model is feasible and ready to be manufactured for further flight tests.
Zhang, Z, Huang, K, Tan, T, Yang, P & Li, J 1970, 'ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering', 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, USA, pp. 752-760.
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© 2016 IEEE. For spectral embedding/clustering, it is still an open problem on how to construct an relation graph to reflect the intrinsic structures in data. In this paper, we proposed an approach, named Relation Discovery based Slow Feature Analysis (ReD-SFA), for feature learning and graph construction simultaneously. Given an initial graph with only a few nearest but most reliable pairwise relations, new reliable relations are discovered by an assumption of reliability preservation, i.e., the reliable relations will preserve their reliabilities in the learnt projection subspace. We formulate the idea as a cross entropy (CE) minimization problem to reduce the discrepancy between two Bernoulli distributions parameterized by the updated distances and the existing relation graph respectively. Furthermore, to overcome the imbalanced distribution of samples, a Boosting-like strategy is proposed to balance the discovered relations over all clusters. To evaluate the proposed method, extensive experiments are performed with various trajectory clustering tasks, including motion segmentation, time series clustering and crowd detection. The results demonstrate that ReDSFA can discover reliable intra-cluster relations with high precision, and competitive clustering performance can be achieved in comparison with state-of-the-art.
Zhang, Z, Oberst, S & Lai, JCS 1970, 'Influence of contact condition and sliding speed on friction-induced instability', ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics, International Congress on Sound and Vibration: From Ancient to Modern Acoustics (ICSV), International Institute of Acoustics and Vibration, Athens, Greece.
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Brake squeal, defined as audible noise above 1 kHz, is triggered by energy provided in the contact area between the pad and the disc and friction-induced instabilities. Owing to customers' demand of reducing vehicle noise and the increasing use of light composite materials in cars, squealing brakes remain a major concern to the automotive industry because of warranty-related claims. The prediction of disc brake squeal propensity is as challenging as ever. Although friction-induced instabilities are inherently nonlinear and during squeal the brake system's operating and environmental conditions keep changing, mostly linear and steady state methods are used for the analysis of brake squeal propensity. While many different instability mechanisms have been identified, their interactions and the resulting dynamics are not yet fully understood. Linear instability predictions suffer from over- and under-predictions and have to be complemented by extensive noise dynamometer or in vehicle tests. Recent studies indicate that frictional contact is multi-scaled in nature, highly sensitive and inhomogeneous. Very high local pressures and partial contact separations in the contact interface further complicate its numerical modelling. By studying an analytical model of 3 × 3 friction oscillators using three different friction laws (Amonton-Coulomb, the velocity-dependent and the LuGre friction model) in point contact with a sliding rigid plate and incorporating uncertainties in the contact condition, robustly unstable vibration modes have been identified in our previous research. Here, the number and the combination of friction oscillators engaged in contact are randomised to model imperfect contact. In addition, the effect of the variation in the plate's sliding velocity on the in-stability analysis is investigated with randomised friction coefficient of the Amonton-Coulomb friction model. Results of instability prediction and net work calculations are used to illust...
Zhao, L, Giannarou, S, Lee, S-L & Yang, G-Z 1970, 'Registration-Free Simultaneous Catheter and Environment Modelling', Medical Image Computing and Computer-Assisted Intervention – MICCAI 2016 (LNCS), Medical Image Computing and Computer-Assisted Intervention, Springer International Publishing, Athens, Greece, pp. 525-533.
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Endovascular procedures are challenging to perform due to the complexity and difficulty in catheter manipulation. The simultaneous recovery of the 3D structure of the vasculature and the catheter position and orientation intra-operatively is necessary in catheter control and navigation. State-of-art Simultaneous Catheter and Environment Modelling provides robust and real-time 3D vessel reconstruction based on real-time intravascular ultrasound (IVUS) imaging and electromagnetic (EM) sensing, but still relies on accurate registration between EM and pre-operative data. In this paper, a registration-free vessel reconstruction method is proposed for endovascular navigation. In the optimisation framework, the EM-CT registration is estimated and updated intra-operatively together with the 3D vessel reconstruction from IVUS, EM and pre-operative data, and thus does not require explicit registration. The proposed algorithm can also deal with global (patient) motion and periodic deformation caused by cardiac motion. Phantom and in-vivo experiments validate the accuracy of the algorithm and the results demonstrate the potential clinical value of the technique.
Zhao, L, Giannarou, S, Lee, S-L, Merrifield, R & Yang, GZ 1970, 'Intra-operative Simultaneous Catheter and Environment Modelling for Endovascular Navigation Based on Intravascular Ultrasound, Electromagnetic Tracking and Pre-operative Data', Proceedings of The Hamlyn Symposium on Medical Robotics, The Hamlyn Symposium on Medical Robotics, Imperial College London and the Royal Geographical Society, London, UK, pp. 76-77.
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Cardiovascular diseases (CVD) form the single mostcommon cause of death. Catheter procedures are amongthe most common surgical interventions used to treatCVD. Due to their minimal access trauma, theseprocedures extend the range of patients able to receiveinterventional CVD treatment to age groups dominatedby co-morbidity and unacceptable risks for open surgery[1]. The downside associated with minimising accessincisions lies at the increased complexity and difficultmanipulation of the instruments and anatomical targets,which is mainly caused by the loss of direct access tothe anatomy and the poor visualisation of the surgicalsite. The current clinical approaches to endovascularprocedures mainly rely on 2D guidance based on X-rayfluoroscopy, which uses ionising radiation anddangerous contrast agents [2].In this paper, a Simultaneous Catheter and EnvironmentModelling (SCEM) method is presented forendovascular navigation based on intravascularultrasound (IVUS) imaging, electromagnetic (EM)sensing as well as the vessel structure informationprovided from the pre-operative CT/MR imaging (seeFig. 1). Thus, radiation dose and contrast agents areavoided. The proposed SCEM intra-operatively recoversthe 3D structure of the vasculature together with thepose of the catheter tip, which the knowledge of theinteraction between the catheter and its surroundingscan be provided. The corresponding uncertainties ofboth vessel reconstruction and catheter pose can also becomputed which is necessary for autonomous roboticcatheter navigation. Experimental results using threedifferent phantoms, with different catheter motions andcardiac motions simulated by using a periodic pumpdemonstrated the accuracy of the vessel reconstructionand the potential clinical value of the proposed SCEMmethod.
Zhao, S, Cheng, E, Qiu, X, Alambeigi, P, Burry, J & Burry, M 1970, 'A preliminary investigation on the sound field properties in the Sagrada Familia Basilica', 2nd Australasian Acoustical Societies Conference, ACOUSTICS 2016, Conference of the Australian Acoustical Society, AAS, Brisbane, Australia, pp. 797-806.
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This paper reports on a preliminary investigation of the sound field properties inside a large Roman Catholic Church in Barcelona, the Sagrada Familia Basilica, which is a World Heritage Site although its construction has not been completed. The impulse responses were measured at 5 sound source positions combined with 14 measurement locations inside the Sagrada Familia Basilica, and the Impulse response to Noise Ratios (INR) were examined to check the reliability of the measured impulse responses. The room acoustic parameters were calculated and the following 5 sound field properties in the Sagrada Familia Basilica were analysed: reverberation, spaciousness, loudness, warmth and clarity. No optimal values of room acoustic parameters for such large volume churches have been found in the literature; thus, the preferred values of the reverberation time (T20) and the Early Decay Time (EDT) for small volume churches, and the preferred values of the middle frequency strength of sound (Gmid), the low frequency strength of sound (G125), the clarity (C80) and the binaural quality index (1 - IACCe) for concert halls were compared with the measurement results to illustrate a primary impression of the listening experience in the Sagrada Familia Basilica. The reverberation time (T20) and the EDT in the Sagrada Familia Basilica are much higher than the preferred values, while the middle frequency strength of sound (Gmid), the low frequency strength of sound (G125) and the clarity (C80) are less than the preferred values. The binaural quality index (1 - IACCE) is just above the typical satisfactory value.
Zhao, S, Cheng, E, Qiu, X, Burnett, I & Liu, JCC 1970, 'Estimation of the frequency boundaries of the inertial range for wind noise spectra in anechoic wind tunnels', 2nd Australasian Acoustical Societies Conference, ACOUSTICS 2016, Conference of the Australian Acoustical Society, AAS, Brisbane, Australia, pp. 1187-1196.
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Wind noise generated by the intrinsic turbulence in the flow can affect outdoor noise measurements. Various attempts have been made to investigate the wind noise generation mechanism. Wind noise spectra in anechoic wind tunnels can be divided into three frequency regions: In the low frequency region known as the energy-containing range, the wind noise spectrum does not change significantly with frequency. In contrast, in the middle frequency region (or inertial range) the decay rate of the wind noise spectrum curve follows the -7/3 power law, but in the high frequency region (or dissipation range) the decay rate of the wind noise spectrum curve is faster than the -7/3 power law. The boundaries of the -7/3 power law frequency range depend on the Reynolds number; however, no exact value is known according to current literature. This paper proposes a method for predicting the boundary values based on the energy cascade theory. Large eddy simulations of free jet were performed to validate the proposed method and the results were found to be in reasonable agreement with existing experiment measurements obtained in an anechoic wind tunnel. Additional simulations were also conducted with different inflow entrance sizes to further verify the predictions from the proposed method.
Zhao, Y, Di, H, Zhang, J, Lu, Y & Lv, F 1970, 'Recognizing human actions from low-resolution videos by region-based mixture models', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle, Washington, United States.
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© 2016 IEEE. Recognizing human action from low-resolution (LR) videos is essential for many applications including large-scale video surveillance, sports video analysis and intelligent aerial vehicles. Currently, state-of-the-art performance in action recognition is achieved by the use of dense trajectories which are extracted by optical flow algorithms. However, the optical flow algorithms are far from perfect in LR videos. In addition, the spatial and temporal layout of features is a powerful cue for action discrimination. While, most existing methods encode the layout by previously segmenting body parts which is not feasible in LR videos. Addressing the problems, we adopt the Layered Elastic Motion Tracking (LEMT) method to extract a set of long-term motion trajectories and a long-term common shape from each video sequence, where the extracted trajectories are much denser than those of sparse interest points(SIPs); then we present a hybrid feature representation to integrate both of the shape and motion features; and finally we propose a Region-based Mixture Model (RMM) to be utilized for action classification. The RMM models the spatial layout of features without any needs of body parts segmentation. Experiments are conducted on two publicly available LR human action datasets. Among which, the UT-Tower dataset is very challenging because the average height of human figures is only about 20 pixels. The proposed approach attains near-perfect accuracy on both of the datasets.
Zheng, B, Yang, N, Yee, J, Gaiser, K, Lu, WY, Clemon, L, Zhou, Y, Lavernia, EJ & Schoenung, JM 1970, 'Review on laser powder injection additive manufacturing of novel alloys and composites', Laser 3D Manufacturing III, SPIE LASE, SPIE, San Francisco, CA.
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Zheng, D, Huo, H, Chen, S-Y, Xu, B & Liu, L 1970, 'LTMF: Local-Based Tag Integration Model for Recommendation', Springer International Publishing, pp. 296-302.
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Zheng, L & Liang, B 1970, 'Sign language recognition using depth images', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE.
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© 2016 IEEE. This paper presents a vision based sign language gesture recognition framework that can assist people with impaired hearing and speech with their social interaction and interactive communications. Utilizing a low-cost sensor, such as Microsoft Kinect combined with advanced machine learning analysis, it aims to ease the challenging issue of increasing demand for professional sign language interpreting services. Specifically, this paper discusses a powerful discriminating descriptor called 3D motion map based pyramid histograms of oriented gradient (M-PHOG) which is proposed for depth-based human gesture recognition. The 3D motion map is generated through the entire depth video sequence to encode additional motion information from three projected orthogonal planes. By adding pyramid representation, HOG descriptor is extended to M-PHOG which can characterize local shapes at different spatial grid sizes for gesture recognition. The proposed approach is evaluated on MSR Gesture3D and DEVISIGN two data sets captured by depth cameras. Experimental results show that the proposed approach outperforms the current state-of-the-art methods and demonstrates the effectiveness and robustness of the proposed 3D M-PHOG descriptor. The proposed approach can translate the meaning of captured gestures as professional interpreters currently do. The novelty framework has the potential to improve the quality of life for the deaf community and reduce the communication barriers they currently experience.
Zheng, L, Zhang, H, Sun, S, Chandraker, M, Yang, Y & Tian, Q 1970, 'Person Re-identification in the Wild', Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Honolulu, HI, USA, pp. 3346-3355.
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We present a novel large-scale dataset and comprehensive baselines forend-to-end pedestrian detection and person recognition in raw video frames. Ourbaselines address three issues: the performance of various combinations ofdetectors and recognizers, mechanisms for pedestrian detection to help improveoverall re-identification accuracy and assessing the effectiveness of differentdetectors for re-identification. We make three distinct contributions. First, anew dataset, PRW, is introduced to evaluate Person Re-identification in theWild, using videos acquired through six synchronized cameras. It contains 932identities and 11,816 frames in which pedestrians are annotated with theirbounding box positions and identities. Extensive benchmarking results arepresented on this dataset. Second, we show that pedestrian detection aidsre-identification through two simple yet effective improvements: adiscriminatively trained ID-discriminative Embedding (IDE) in the personsubspace using convolutional neural network (CNN) features and a ConfidenceWeighted Similarity (CWS) metric that incorporates detection scores intosimilarity measurement. Third, we derive insights in evaluating detectorperformance for the particular scenario of accurate person re-identification.
Zheng, Y, Lan, C, Peng, H & Li, J 1970, 'Using constrained information entropy to detect rare adverse drug reactions from medical forums', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, IEEE, pp. 2460-2463.
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Adverse drug reactions (ADRs) detection is critical to avoid malpractices yet challenging due to its uncertainty in pre-marketing review and the underreporting in post-marketing surveillance. To conquer this predicament, social media based ADRs detection methods have been proposed recently. However, existing researches are mostly co-occurrence based methods and face several issues, in particularly, leaving out the rare ADRs and unable to distinguish irrelevant ADRs. In this work, we introduce a constrained information entropy (CIE) method to solve these problems. CIE first recognizes the drug-related adverse reactions using a predefined keyword dictionary and then captures high- and low-frequency (rare) ADRs by information entropy. Extensive experiments on medical forums dataset demonstrate that CIE outperforms the state-of-the-art co-occurrence based methods, especially in rare ADRs detection.
Zhong, Y, Zhou, Z, Jiang, T, Heimlich, M, Dutkiewicz, E & Fang, G 1970, 'Classification of animals and people based on radio-sensor network', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Qingdao, China, pp. 113-116.
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© 2016 IEEE.Personnel detection embedded in foliage is extremely important to border patrol, perimeter protection and search-and-rescue operations. In this paper, we explore the utility of radio-sensor network (RSN) to distinguish between humans and animals. We explore the phenomenon that signals are always affected by the presence of obstacles and identify human based on the received signals by transceivers, which leads to a potential low-cost way for personnel detection without specific sensors. In our study, the impulse radio ultra-wideband (IR-UWB) technology is selected for the RF transceiver due to the fact that it is not only energy efficient, but also robust against interferences. The principle component analysis (PCA) is applied to extract the feature vector, and a support vector machine is used as the target classifier. Experiment result with an average accuracy of 97.5% based on actual data collected in a cornfield indicates that this approach has a good capability to distinguish between human and animals in a foliage environment.
Zhou, A & Sheng, D 1970, 'Relating shear strength of unsaturated soils with capillary water retention curve', E3S Web of Conferences, 3rd European Conference on Unsaturated Soils (E-UNSAT), EDP Sciences, Paris, FRANCE, pp. 14010-14010.
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Zhou, J, Arshad, SZ, Yu, K & Chen, F 1970, 'Correlation for user confidence in predictive decision making', Proceedings of the 28th Australian Conference on Computer-Human Interaction - OzCHI '16, the 28th Australian Conference, ACM Press, Univ Tasmania, Hobart, AUSTRALIA.
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Zhou, J, Khawaja, MA, Li, Z, Sun, J, Wang, Y & Chen, F 1970, 'Making machine learning useable by revealing internal states update - a transparent approach', International Journal of Computational Science and Engineering, Inderscience Publishers, pp. 378-378.
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Machine learning (ML) techniques are often found difficult to apply effectively in practice because of their complexities. Therefore, making ML useable is emerging as one of active research fields recently. Furthermore, an ML algorithm is still a 'black-box'. This 'black-box' approach makes it difficult for users to understand complicated ML models. As a result, the user is uncertain about the usefulness of ML results and this affects the effectiveness of ML methods. This paper focuses on making a 'black-box' ML process transparent by presenting real-time internal status update of the ML process to users explicitly. A user study was performed to investigate the impact of revealing internal status update to users on the easiness of understanding data analysis process, meaningfulness of real-time status update, and convincingness of ML results. The study showed that revealing of the internal states of ML process can help improve easiness of understanding the data analysis process, make real-time status update more meaningful, and make ML results more convincing.
Zhou, J, Li, Z, Zhang, Z, Liang, B & Chen, F 1970, 'Visual Analytics of Relations of Multi-Attributes in Big Infrastructure Data', 2016 Big Data Visual Analytics (BDVA), 2016 Big Data Visual Analytics (BDVA), IEEE, Sydney, AUSTRALIA, pp. 31-32.
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Zhou, J, Pan, S, Tsang, I & Ho, S-S 1970, 'Transfer Learning for Cross-Language Text Categorization through Active Correspondences Construction', Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI), Phoenix, Arizona USA, pp. 2400-2406.
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Most existing heterogeneous transfer learning (HTL) methods for cross-language text classification rely on sufficient cross-domain instance correspondences to learn a mapping across heterogeneous feature spaces, and assume that such correspondences are given in advance. However, in practice, correspondences between domains are usually unknown. In this case, extensively manual efforts are required to establish accurate correspondences across multilingual documents based on their content and meta-information. In this paper, we present a general framework to integrate active learning to construct correspondences between heterogeneous domains for HTL, namely HTL through active correspondences construction (HTLA). Based on this framework, we develop a new HTL method. On top of the new HTL method, we further propose a strategy to actively construct correspondences between domains. Extensive experiments are conducted on various multilingual text classification tasks to verify the effectiveness of HTLA.
Zhou, JT, Xu, X, Pan, SJ, Tsang, IW, Qin, Z & Goh, RSM 1970, 'Transfer hashing with privileged information', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI, New York, USA, pp. 2414-2420.
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Most existing learning to hash methods assume that there are sufficient data, either labeled or unlabeled, on the domain of interest (i.e., the target domain) for training. However, this assumption cannot be satisfied in some real-world applications. To address this data sparsity issue in hashing, inspired by transfer learning, we propose a new framework named Transfer Hashing with Privileged Information (THPI). Specifically, we extend the standard learning to hash method, Iterative Quantization (ITQ), in a transfer learning manner, namely ITQ+. In ITQ+, a new slack function is learned from auxiliary data to approximate the quantization error in ITQ. We developed an alternating optimization approach to solve the resultant optimization problem for ITQ+. We further extend ITQ+ to LapITQ+ by utilizing the geometry structure among the auxiliary data for learning more precise binary codes in the target domain. Extensive experiments on several benchmark datasets verify the effectiveness of our proposed approaches through comparisons with several state-of-the-art baselines.
Zhou, T, Lu, Y, Di, H & Zhang, J 1970, 'Video object segmentation aggregation', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle.
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© 2016 IEEE. We present an approach for unsupervised object segmentation in unconstrained videos. Driven by the latest progress in this field, we argue that segmentation performance can be largely improved by aggregating the results generated by state-of-the-art algorithms. Initially, objects in individual frames are estimated through a per-frame aggregation procedure using majority voting. While this can predict relatively accurate object location, the initial estimation fails to cover the parts that are wrongly labeled by more than half of the algorithms. To address this, we build a holistic appearance model using non-local appearance cues by linear regression. Then, we integrate the appearance priors and spatio-temporal information into an energy minimization framework to refine the initial estimation. We evaluate our method on challenging benchmark videos and demonstrate that it outperforms state-of-the-art algorithms.
Zhu, H, Sick, N & Leker, J 1970, 'How to use crowdsourcing for innovation?: A comparative case study of internal and external idea sourcing in the chemical industry', 2016 Portland International Conference on Management of Engineering and Technology (PICMET), 2016 Portland International Conference on Management of Engineering and Technology (PICMET), IEEE, Honolulu, Hawaii, USA.
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Zhu, H, Tu, C & Lee, JE-Y 1970, 'High-Q low impedance UHF-band ALN-ON-SI mems resonators using quasi-symmetrical Lamb wave modes', 2016 IEEE 29th International Conference on Micro Electro Mechanical Systems (MEMS), 2016 IEEE 29th International Conference on Micro Electro Mechanical Systems (MEMS), IEEE.
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Zhu, HL, Cheung, SW, Guo, YJ, Can Ding & Yuk, TI 1970, 'Aperture efficiency improvement using metasurface', 2016 10th European Conference on Antennas and Propagation (EuCAP), 2016 10th European Conference on Antennas and Propagation (EuCAP), IEEE, Davos, Switzerland.
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© 2016 European Association of Antennas and Propagation. A method to improve the aperture efficiency of antennas using a non-uniform metasurface (MS) is studied in this paper. For illustration, a patch antenna and a planar MS having unit cells of square patches with different sizes are used. The sizes of the square patches on the MS follow a radial gradient index function. The aperture efficiencies of the patch antenna and the antenna using the MS are compared. For easy comparison, the patch antenna is designed to have an aperture size of λ0×λ0, where the λ0 is wavelength at the operating frequency in free space. Simulation results show that, by placing the MS atop the patch antenna with a separating distance of 35 mm, the directivity of the patch antenna can be increased from 9.7 dBi to 11.6 dBi. With the aperture size remains unchanged, the aperture efficiency of the patch antenna is increased by more than 100%.
Zhu, L, Dong, X, Yang, Y & Hauptmann, AG 1970, 'UTS-CMU-D2DCRC submission at TRECVID 2016 video localization', 2016 TREC Video Retrieval Evaluation, TRECVID 2016.
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In this report, we summarize our solution to TRECVID 2016 Video Localization task. We mainly use Faster R-CNN to localize objects in the spatial domain which is combined with frame-level and shot-level detectors to localize concepts in the temporal domain. We collected images with annotated bounding box from external sources, e.g., ImageNet Detection dataset and manually annotate bounding boxes for categories without any annotations. We trained frame-level detectors using ResNet-200 features pre-trained on ImageNet and for classes of “Running”, “Sitting Down” and “Dancing”, we also use improved Dense Trajectories features. Finally, we fuse bounding box score, frame score and shot score to get the final score for each bounding box.
Zhu, Q, Coleman, P, Wu, M & Yang, J 1970, 'Robust personal audio reproduction based on acoustic transfer function modelling', Proceedings of the AES International Conference.
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Personal audio systems generate a local sound field for a listener while attenuating the sound energy at predefined quiet zones. Their performance can be sensitive to errors in the acoustic transfer functions between the sources and the zones. In this paper, we model the acoustic transfer functions as a superposition of multipoles with a term to describe errors in the actual gain and phase. We then propose a design framework for robust reproduction, incorporating additional prior knowledge about the error distribution where available. We combine acoustic contrast control with worst-case and probability-model optimization, exploiting limited knowledge of the error distribution. Monte-Carlo simulations over 10000 test cases show that the method increases system robustness when errors are present in the assumed transfer functions.
Zhu, X & Law, S 1970, 'RECENT DEVELOPMENTS IN STRUCTRUAL HEALTH MONITORING BASED ON VEHICLE-BRIDGE INTERACTION', FUNDAMENTAL RESEARCH IN STRUCTURAL ENGINEERING: RETROSPECTIVE AND PROSPECTIVE, VOLS 1 AND 2, 14th International Symposium on Structural Engineering (ISSE-14), SCIENCE PRESS BEIJING, Beijing, PEOPLES R CHINA, pp. 283-288.
Zhu, X, Uy, B, Mirza, O, Henderson, I & Pathirana, S 1970, 'SMART REHABILITATION OF COMPOSITE STRUCTURES USING INNOVATIVE BOLTED SHEAR CONNECTORS', Fundamental Research in Structural Engineering: Retrospective and Prospective, Vols 1 and 2, 14th International Symposium on Structural Engineering (ISSE-14), SCIENCE PRESS BEIJING, Beijing, PEOPLES R CHINA, pp. 360-365.
Zhu, X, Yang, Y & Liu, H 1970, 'Cell-based wideband variable-gain amplifier with accurate gain adjustment in 65 nm CMOS technology', 2016 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM), 2016 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM), IEEE, Nanjing, PEOPLES R CHINA.
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Zhu, X, Yang, Y & Xue, Q 1970, 'Design of an Integrated on-chip bandpass filter using inverse-coupled resonator', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, Queensland, Australia, pp. 860-862.
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© 2016 IEEE. This paper presents an Integrated on-chip bandpass filter design using an inverse-coupled resonator. Both the resonator and bandpass filter are designed and fabricated in a standard silicon-germanium technology. The designed resonator is based on a unique structure, which consists of two broadside-coupled meander lines with opposite orientation. Using this structure along with capacitors, the bandpass filter is designed. The measured results show that the BPF has a center frequency at 31 GHz and insertion loss of 2.5 dB. The chip size of the BPF, excluding the pads, is only 0.024 mm2 (0.09 × 0.27 mm2), which the most compact one among the other state-of-the-art designs.
Zhu, X, Yang, Y, Chakraborty, S, Sevimli, O, Esselle, KP, Heimlich, M & Xue, Q 1970, 'An ultra-compact integrated millimeter-wave coupled-line resonator and a bandpass filter in silicon-germanium technology', 2016 IEEE MTT-S International Microwave Symposium (IMS), 2016 IEEE/MTT-S International Microwave Symposium (IMS), IEEE, San Francisco, CA, USA, pp. 1-4.
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© 2016 IEEE. An ultra-compact integrated resonator and bandpass filters (BPF), in silicon-based technology, are presented for millimetre-wave applications. The resonator consists of two broadside-coupled lines in opposite orientations. Using this resonator, a first-order and a second-order BPFs were also designed. To prove the concept, three prototypes of each of the resonator and the first-order BPF were fabricated using a standard 0.13-μm SiGe process. The measured results show that the resonator has an attenuation of 13.7 dB at the resonance frequency of 57 GHz, while the BPF has a centre frequency of 31 GHz and an insertion loss of only 2.4 dB. Excluding the pads, the chip size of both the resonator and the BPF is extremely compact, only 0.024 mm2 that is equivalent to 0.001 λg2. The unloaded Q factor of the filter is higher than other state-of-the-art designs.
Zijlema, A, van den Hoven, E & Eggen, B 1970, 'Companions', Proceedings of the 28th Australian Conference on Computer-Human Interaction - OzCHI '16, the 28th Australian Conference, ACM Press, Launceston, Australia.
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Cherished utilitarian objects can provide comfort and pleasure through their associations to our personal past and the time and energy we have invested in and with them. In this paper, we present a specific type of object relationship, which we call the companion. They are mundane objects that accrued meaning over time, and evoke tiny pleasureswhen we interact with them. We then draw insights from the HCI research literature on digital possessions and attachment that could be applied to enhance digital products or processes with companion qualities. We argue the importance to design for digital companionship in everyday use products, for example by enabling the accruement of subtle marks of the owners past with the product. We wish to evoke thought and awareness of the role of companions, and how this relationship can be supported in digital products.
ZUO, HUA, ZHANG, G, BEHBOOD, V, LU, JIE, PEDRYCZ, W & ZHANG, T 1970, 'FUZZY TRANSFER LEARNING IN DATA-SHORTAGE AND RAPIDLY CHANGING ENVIRONMENTS', Uncertainty Modelling in Knowledge Engineering and Decision Making, Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016), WORLD SCIENTIFIC, Roubaix, FRANCE, pp. 175-180.
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Zuo, Y, Wu, Q, An, P & Zhang, J 1970, 'Explicit measurement on depth-color inconsistency for depth completion', 2016 IEEE International Conference on Image Processing (ICIP), 2016 IEEE International Conference on Image Processing (ICIP), IEEE, Phoenix, AZ, USA, pp. 4037-4041.
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© 2016 IEEE. Color-guided depth completion is to refine depth map through structure light sensing by filling missing depth structure and de-nosing. It is based on the assumption that depth discontinuity and color edge at the corresponding location are consistent. Among all proposed methods, MRF-based method including its variants is one of major approaches. However, the assumption above is not always true, which causes texture-copy and depth discontinuity blurring artifacts. The state-of-the-art solutions usually are to modify the weighting inside smoothness term of MRF model. Because there is no any method explicitly considering the inconsistency occurring between depth discontinuity and the corresponding color edge, they cannot adaptively control the effect of guidance from color image when completing depth map. In this paper, we propose quantitative measurement on such inconsistency and explicitly embed it into weighting value of smoothness term. The proposed method is evaluated on NYU Kinect datasets and demonstrates promising results.
Zuo, Y, Wu, Q, Zhang, J & An, P 1970, 'Explicit modeling on depth-color inconsistency for color-guided depth up-sampling', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, USA.
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© 2016 IEEE. Color-guided depth up-sampling is to enhance the resolution of depth map according to the assumption that the depth discontinuity and color image edge at the corresponding location are consistent. Through all methods reported, MRF including its variants is one of major approaches, which has dominated in this area for several years. However, the assumption above is not always true. Solution usually is to adjust the weighting inside smoothness term in MRF model. But there is no any method explicitly considering the inconsistency occurring between depth discontinuity and the corresponding color edge. In this paper, we propose quantitative measurement on such inconsistency and explicitly embed it into weighting value of smoothness term. Such solution has not been reported in the literature. The improved depth up-sampling based on the proposed method is evaluated on Middlebury datasets and ToFMark datasets and demonstrate promising results.
Zurita, G, Merigó, JM & Lobos-Ossandón, V 1970, 'A bibliometric analysis of journals in educational research', Lecture Notes in Engineering and Computer Science, pp. 403-408.
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The influence and impact of journals in the scientific community is a fundamental question for researchers worldwide because it measures the importance and quality of a publication. This study analyses all the journals that are currently ranked in any educational research category in Web of Science by using bibliometric indicators. The aim is to provide a general overview of their impact and influence between 1989 and 2013. The journals are divided in seven research categories that represent the whole field of educational research. The analysis also develops a general comparison between all the categories. The results show that many interdisciplinary journals obtain a broader impact than the core journals although these publications are also well positioned in the field.
