Abbasi, WS, Shams-Ul-Islam, Saha, SC, Gu, YT & Ying, ZC 2014, 'Effect of Reynolds numbers on flow past four square cylinders in an in-line square configuration for different gap spacings', Journal of Mechanical Science and Technology, vol. 28, no. 2, pp. 539-552.
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Abdolali, A, Guo, WS, Ngo, HH, Chen, SS, Nguyen, NC & Tung, KL 2014, 'Typical lignocellulosic wastes and by-products for biosorption process in water and wastewater treatment: A critical review', BIORESOURCE TECHNOLOGY, vol. 160, pp. 57-66.
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Biosorption on lignocellulosic wastes and by-products has been identified as a proper alternative to the existing technologies applied for toxic metal ion and dye removal from wastewater streams. This paper deals with utilization of typical low cost wastes and by-products produced in different food agricultural and agro-industries as biosorbent and reviews the current state of studies on a wide variety of cheap biosorbents in natural and modified forms. The efficiency of each biosorbent has been also discussed with respect to the operating conditions (e.g. temperature, hydraulic residence time, initial metal concentration, biosorbent particle size and its dosage), chemical modification on sorption capacity and preparation methods, as well as thermodynamics and kinetics. © 2013 Elsevier Ltd.
Abdolali, A, Ngo, HH, Guo, WS, Lee, DJ, Tung, KL & Wang, XC 2014, 'Development and evaluation of a new multi-metal binding biosorbent', BIORESOURCE TECHNOLOGY, vol. 160, pp. 98-106.
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A novel multi-metal binding biosorbent (MMBB) was developed by combining a group of three from the selective natural lignocellulosic agro-industrial wastes for effectively eliminating lead, cadmium, copper and zinc from aqueous solutions. Four MMBBs with different combinations (MMBB1: tea waste, corncob, sugarcane bagasse; MMBB2: tea waste, corncob and sawdust; MMBB3: tea waste, corncob and apple peel; MMBB4: tea waste, corncob and grape stalk) were evaluated. FTIR analysis for characterizing the MMBB2 explored that the MMBB2 contains more functional groups available for multi-metals binding. Comparing among the MMBBs as well as the single group biosorbents, MMBB2 was the best biosorbent with the maximum biosorption capacities of 41.48, 39.48, 94.00 and 27.23 mg/g for Cd(II), Cu(II), Pb(II) and Zn(II), respectively. After 5 times of desorption with CaCl2, CH3COOH and NaCl as eluent, the MMBB2 still remained excellent biosorptive capacity, so as it could be well regenerated for reuse and possible recovery of metals.
Abdullahi, S, Mahmud, ARB & Pradhan, B 2014, 'Spatial modelling of site suitability assessment for hospitals using geographical information system-based multicriteria approach at Qazvin city, Iran', Geocarto International, vol. 29, no. 2, pp. 164-184.
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Abedin, MJ, Masjuki, HH, Kalam, MA, Sanjid, A, Rahman, SMA & Fattah, IMR 2014, 'Performance, emissions, and heat losses of palm and jatropha biodiesel blends in a diesel engine', Industrial Crops and Products, vol. 59, pp. 96-104.
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Abedin, MJ, Masjuki, HH, Kalam, MA, Varman, M, Arbab, MI, Fattah, IMR & Masum, BM 2014, 'Experimental Investigation of a Multicylinder Unmodified Diesel Engine Performance, Emission, and Heat Loss Characteristics Using Different Biodiesel Blends: Rollout of B10 in Malaysia', The Scientific World Journal, vol. 2014, pp. 1-9.
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This paper deals with the performance and emission analysis of a multicylinder diesel engine using biodiesel along with an in-depth analysis of the engine heat losses in different subsystems followed by the energy balance of all the energy flows from the engine. Energy balance analysis allows the designer to appraise the internal energy variations of a thermodynamic system as a function of ‘‘energy flows’’ across the control volume as work or heat and also the enthalpies associated with the energy flows which are passing through these boundaries. Palm and coconut are the two most potential biodiesel feed stocks in this part of the world. The investigation was conducted in a four-cylinder diesel engine fuelled with 10% and 20% blends of palm and coconut biodiesels and compared with B5 at full load condition and in the speed range of 1000 to 4000 RPM. Among the all tested blends, palm blends seemed more promising in terms of engine performance, emission, and heat losses. The influence of heat losses on engine performance and emission has been discussed thoroughly in this paper.
Adak, C 2014, 'OPTICS Based Coverage in Wireless Sensor Network'.
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This paper deals with the coverage problem of wireless sensor network. We usethe density based clustering technique - OPTICS to cover a target region withless number of sensor nodes. OPTICS works well to identify the outliers, corepoints and it obtains the denser regions. We define a level of acceptance tofind next appropriate sensor in the region. We eliminate overlapped area andobtain a decision tree to minimally cover up the target region.
Adak, C 2014, 'Rough Clustering Based Unsupervised Image Change Detection'.
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This paper introduces an unsupervised technique to detect the changed regionof multitemporal images on a same reference plane with the help of roughclustering. The proposed technique is a soft-computing approach, based on theconcept of rough set with rough clustering and Pawlak's accuracy. It is lessnoisy and avoids pre-deterministic knowledge about the distribution of thechanged and unchanged regions. To show the effectiveness, the proposedtechnique is compared with some other approaches.
Afroz, F, Barua, S & Sandrasegaran, K 2014, 'Performance Analysis of FLS, EXP, LOG and M-LWDF Packet Scheduling Algorithms in Downlink 3GPP LTE System', International Journal of Wireless & Mobile Networks, vol. 6, no. 5, pp. 77-91.
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Afshar, S, George, L, Tapson, J, van Schaik, A & Hamilton, TJ 2014, 'Racing to learn: statistical inference and learning in a single spiking neuron with adaptive kernels', Frontiers in Neuroscience, vol. 8.
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Agarwal, N, Zhou, A & Xu, G 2014, 'Social cyber systems—Challenges, opportunities, and beyond', Journal of Systems and Software, vol. 94, pp. 1-3.
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Agrawal, A 2014, 'Balancing the imbalance', Physics World, vol. 27, no. 12, pp. 17-17.
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Aguilera, RP, Godoy, BI, Agüero, JC, Goodwin, GC & Yuz, JI 2014, 'An EM-based identification algorithm for a class of hybrid systems with application to power electronics', International Journal of Control, vol. 87, no. 7, pp. 1339-1351.
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Ahmad, MR, Esa, MRM, Cooray, V & Dutkiewicz, E 2014, 'Interference from cloud-to-ground and cloud flashes in wireless communication system', Electric Power Systems Research, vol. 113, pp. 237-246.
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In this study, cloud-to-ground (CG) flash and intra-cloud (IC) flash events that interfere with the transmission of bits in wireless communication system operating at 2.4 GHz were analyzed. Bit error rate (BER) and consecutive lost datagram (CLD) measurement methods were used to evaluate BER and burst error from 3 tropical thunderstorms on November 27, 28, and 29 during 2012 northeastern monsoon in Malaysia. A total of 850 waveforms from the electric field change recording system were recorded and examined. Out of these, 94 waveforms of very fine structure were selected which matched perfectly with the timing information of the recorded BER. We found that both CG and IC flashes interfered significantly with the transmission of bits in wireless communication system. The severity of the interference depends mainly on two factors namely the number of pulses and the amplitude intensity of the flash. The interference level becomes worst when the number of pulses in a flash increases and the amplitude intensity of pulses in a flash intensifies. During thunderstorms, wireless communication system has experienced mostly intermittent interference due to burst error. Occasionally, in the presence of very intense NBP event, wireless communication system could experience total communication lost. In CG flash, it can be concluded that PBP is the major source of interference that interfered with the bits transmission and caused the largest burst error. In IC flash, we found that the typical IC pulses interfered the bits transmission in the same way as PBP and mixed events in CG flash and produced comparable and in some cases higher amount of burst error. NBP has been observed to interfere the bits transmission more severely than typical IC and CG flashes and caused the most severe burst error to wireless communication system. © 2014 Elsevier B.V.
Ahmed, S, Hassan, MH, Kalam, MA, Ashrafur Rahman, SM, Abedin, MJ & Shahir, A 2014, 'An experimental investigation of biodiesel production, characterization, engine performance, emission and noise of Brassica juncea methyl ester and its blends', Journal of Cleaner Production, vol. 79, pp. 74-81.
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Al Mahmud, KAH, Varman, M, Kalam, MA, Masjuki, HH, Mobarak, HM & Zulkifli, NWM 2014, 'Tribological characteristics of amorphous hydrogenated (a-C:H) and tetrahedral (ta-C) diamond-like carbon coating at different test temperatures in the presence of commercial lubricating oil', Surface and Coatings Technology, vol. 245, pp. 133-147.
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Alamdari, MM, Li, J, Samali, B, Ahmadian, H & Naghavi, A 2014, 'Nonlinear Joint Model Updating in Assembled Structures', Journal of Engineering Mechanics, vol. 140, no. 7, pp. 04014042-04014042.
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Dynamic response of mechanical structures is significantly affected by joints. Joints introduce remarkable frictional damping and
localized flexibility to the structure; hence, to obtain a more accurate representation of a system’s dynamics, it is crucial to take these effects into
account. This paper investigates the application of finite-element model updating on characterization of a nonlinear joint interface. A thin layer
of virtual elements is used at a joint location to represent the nonlinear behavior of the coupling in the tangential direction. The material
properties of the elements are described by a nonlinear constitutive stress-strain equation that defines the nonlinear state of the joint interface. In
this study, Richard–Abbot elastic-plastic material was considered, which is capable of characterizing energy dissipation and softening
phenomena in a joint at a nonlinear state. Uncertain material parameters are adjusted to minimize the residual between the numerical and
experimental nonlinear frequency responses. Minimization was carried out based on iterative sensitivity-based optimization. The procedure was
implemented on an assembled structure consisting of two steel threaded pipes coupled to each other by a nut interface. It was demonstrated that
the proposed technique significantly reduced the uncertainties in the joint modeling and led to a more reliable description of the assembled
structure.
Alamdari, MM, Li, JC & Samali, B 2014, 'A Novel FRF-Based Damage Localisation Method Using Random Vibration', Applied Mechanics and Materials, vol. 553, pp. 713-718.
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This paper presents a novel damage localization method based on the measured Frequency Response Functions (FRFs) without demanding any previous data records of the structure in its healthy state. The main innovation of this study starts with reconstruction of FRFs curvature to develop spatial shape functions. It is demonstrated that reconstructed data significantly magnifies the influence of low-frequency spectra in damage detection procedure which is considered the milestone of this approach as excitation of the higher frequencies is not easy to obtain in most practical applications. The modified curvature data in all measured frequencies and locations is interpreted as a two dimensional image and then processed by employing 2-D discrete wavelet transform to detect any abrupt variation at damage site. Level one wavelet decomposition is utilised to provide the finest detail coefficients. It is illustrated that this approach presents a more recognizable pattern at damage site in all measured frequencies. The pattern can be described by a horizontal line parallel to the frequency spectra in 2-D image. Hence, the horizontal detail coefficients are utilised to detect this pattern as they are more sensitive to perturbation with orientation parallel to horizontal axis in the image. The main contribution of this approach lies in the fact that the proposed technique is able to detect the structural damage in all measured frequencies and the effectiveness of the method is independent of the excitation location. Moreover, the results provide a better visualisation at damage site which other FRF-based damage detection methods could not obtain. Applying broadband FRF data in this approach and the fact that there is no need for data from the healthy state of the structure are other advantages accompanying this method. The robustness of the proposed damage identification method was examined with various damage conditions in both single and multiple states. Mo...
Al-Fatlawi, AH, Ling, SH & Lam, HK 2014, 'A Comparison of Neural Classifiers for Graffiti Recognition', Journal of Intelligent Learning Systems and Applications, vol. 06, no. 02, pp. 94-112.
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Al-Jaafreh, A, Al-adaileh, R, Gill, A, Al-Ani, A & alzoubi, Y 2014, 'A Review of Literature of Initial Trust in E-Services: The Case of Internet Banking Services in Jordanian Context', Journal of Electronic Banking Systems, vol. 2014, pp. 1-10.
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Aljabri, A, Jiang, ZY & Wei, DB 2014, 'Analysis of Thin Strip Profile during Asymmetrical Cold Rolling with Roll Crossing and Shifting Mill', Advanced Materials Research, vol. 894, pp. 212-216.
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Strip profile control during rolling is required to assure the dimensional quality of rolled thin strip is acceptable for customers. Throughout rolling, the strip profile is controlled by using the advanced shape control rolling mill, such as the combination of work roll crossing and shifting during asymmetrical rolling, the one of the valuable methods to control the strip profile quality in rolling process. In this paper, the influences of cold rolling parameters such as the crossing angle and axial shifting value of work rolls on the strip profile are analysed. The strip shape control is discussed under both symmetrical and asymmetrical rolling conditions. The obtained results are appropriate to control the rolled thin strip profile in practice.
Aljabri, A, Jiang, ZY, Wei, DB, Wang, XD & Tibar, H 2014, 'Thin Strip Profile Control Capability of Roll Crossing and Shifting in Cold Rolling Mill', Materials Science Forum, vol. 773-774, pp. 70-78.
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Controlling cold strip profile is a difficult and significant problem has been found in industry during thin strip rolling. At present choosing the new type of strip rolling mill is the one of main methods to control the strip shape quality in cold rolling. The influences of rolling process parameters such as the work roll cross angle and work roll shifting on the strip shape and profile of thin strip are recognised throughout this study. The results show that the roll crossing and shifting is efficient way to control the strip shape. The increase of the work roll crossing angle would lead to improve the strip profile significantly by decreasing the exit strip crown and edge drop. The strip profile would be enhanced if the axial roll shifting was increased. Moreover, the total rolling force was analysed in detail by changing the roll cross angle and axial shifting roll.
Alqahtani, A, Lu, H & Lu, J 2014, 'Knowledge-based life event model for e-government service integration with illustrative examples', Intelligent Decision Technologies, vol. 8, no. 3, pp. 189-205.
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The advancement of information and communications technology and web services offers an opportunity for e-government service integration, which can help improve the availability and quality of services offered. However, few of the potential service integration applications have been adopted by governments to increase the accessibility of and satisfaction with government services and information for citizens. Recently, the 'life event' concept was introduced as the core element of integrating complexity of service delivery to improve the efficiency and reusability of e-government services, web-based information management systems. In addition, a semantic web-based ontology is considered to be the most powerful conceptual approach for dealing with challenges associated with developing seamless systems in distributed environments. Among these challenges are interoperability, which can be loosely defined as the technical capability for interoperation. Despite the conceptual emergence of semantic web-based ontology for life events, the question remains of what methodology to use when designing a semantic web-based ontology for life events. This paper proposes a semantic web-based ontology model for life events for e-government service integration created using a methodology that implements the model using the ontology modelling tool Protégé and evaluates the model using Pellet Reasoner and the SPARQL query language. In addition, this model is illustrated by two examples, the Saudi Arabia King Abdullah Scholarship and Hafiz, to show the advantages of integrated systems compared with standalone systems. These examples show that the new model can effectively support the integration of standalone e-government services automatically so that citizens do not need to manually execute individual services. This can significantly improve the accessibility of e-government services and citizen's satisfaction. © 2014-IOS Press.
Alsharif, AAA & Pradhan, B 2014, 'Urban Sprawl Analysis of Tripoli Metropolitan City (Libya) Using Remote Sensing Data and Multivariate Logistic Regression Model', Journal of the Indian Society of Remote Sensing, vol. 42, no. 1, pp. 149-163.
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Al-sharif, AAA & Pradhan, B 2014, 'Monitoring and predicting land use change in Tripoli Metropolitan City using an integrated Markov chain and cellular automata models in GIS', Arabian Journal of Geosciences, vol. 7, no. 10, pp. 4291-4301.
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Altaee, A & Hilal, N 2014, 'Dual-stage forward osmosis/pressure retarded osmosis process for hypersaline solutions and fracking wastewater treatment', Desalination, vol. 350, pp. 79-85.
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Hypersaline solution with high TDS is not suitable for direct treatment by the conventional membrane and thermal processes. The current study proposes a dual-stage FO/PRO process for hypersaline solution treatment and power generation. The treatment process reduces the concentration of saline wastewater and hence renders it suitable for disposal directly to sea or treatment by the conventional membrane and thermal processes. The draw and feed solutions in the FO process were the hypersaline solutions and wastewater effluent, respectively. Five concentrations were evaluated for the process treatment with different concentrations ranging from 53. g/L to 157. g/L. The performance of FO membrane was estimated using pre-developed computer software. The results showed that a higher power can be generated from the PRO-FO system than from the FO-PRO system without compromising the concentration of hypersaline solution after dilution. The study also showed that although increasing the flow rate of draw solution resulted in an increase in the permeate flow rate, it caused a reduction in the dilution of draw solution. On the other hand, the study showed a negligible improvement in the performance of FO membrane upon increasing the feed solution flow rate. Finally, the simulation results showed that the concentration of diluted draw solution was suitable for the conventional membrane and thermal treatments or discharge to seawater after the dual-stage FO membrane treatment. © 2014 Elsevier B.V.
Altaee, A & Zaragoza, G 2014, 'A conceptual design of low fouling and high recovery FO–MSF desalination plant', Desalination, vol. 343, pp. 2-7.
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Forward Osmosis (FO) has many applications in water and wastewater treatment and seawater desalination. In this paper, the FO was suggested for seawater pretreatment to the thermal desalination processes such as Multi Stage Flashing (MSF). The integrated FO-MSF hybrid system was designed to reduce the cost of desalination in which the brine reject from MSF was recycled and reused as a draw solution in the FO process. A simple model was suggested here to estimate water flux and power consumption in the FO process and compared with Nanofiltration (NF) process which was previously used in seawater softening. The simulation results showed that for feed salinities between 32,000. mg/L and 50,000. mg/L the recovery rate in the NF was higher than that in the FO. It is also found that the water permeability and specific power consumption was higher in the NF than that in the FO. However, power consumption in the FO wasn't affected by the feed salinity while it increased with feed salinity in NF. Therefore, the FO process has the potential to replace the NF seawater pretreatment for thermal desalination. © 2013.
Altaee, A, Mabrouk, A, Bourouni, K & Palenzuela, P 2014, 'Forward osmosis pretreatment of seawater to thermal desalination: High temperature FO-MSF/MED hybrid system', Desalination, vol. 339, no. 1, pp. 18-25.
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Forward osmosis (FO) seawater pretreatment was proposed for the removal of scale ions from seawater to the thermal desalination plant. In the current study, previously developed models were applied to estimate the effectiveness of FO pretreatment in the removal of divalent ions from feed solution to MSF/MED at elevated temperatures. The simulation results showed that the water and salt flux across the FO membrane increased with increasing the seawater salinity. However, for given seawater salinity, the water and salt flux across the FO membrane decreased with increasing the FO recovery rate. It was found that the concentration of Ca2+, Mg2+ and SO42- ions increased with increasing the operating temperature in the thermal plant but decreased with increasing the recovery rate of the FO pretreatment. Additionally, an FO pretreatment-MED Scale Index (FMSI) was developed to determine the required FO recovery rate and avoids scale problems at different MED operating temperatures. Initially, Ryznar Scale Index (RSI) of the feed solution was calculated for different MED operating temperatures. Then, RSI was plotted against the FO recovery rates and the desirable FO recovery rate was determined from the plot based on the operating temperature of the MED plant. The scale index was also applied to determine the required mixing ratio of NF permeate-makeup water in the NF-MED desalination hybrid system. The application of the FO pretreatment-MED Scale Index has the potential to reduce the required time and resources to determine the desirable FO/NF pretreatment ratio of feed water to the MED plant. © 2014.
Altaee, A, Sharif, A, Zaragoza, G & Hilal, N 2014, 'Dual stage PRO process for power generation from different feed resources', Desalination, vol. 352, pp. 118-127.
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© 2014 . A dual stage PRO process is proposed here for power generation using osmotic energy. The process is able to handle a wide range of feed water salinities with different pretreatment requirements in order to reduce the membrane fouling problems. In the current study, the salinity gradient resource consisted of seawater at standard TDS, 35. g/L, while the first stage feed water was brackish water or fresh water and the second stage feed water was wastewater effluent. The diluted seawater from the first stage of PRO process was the draw solution in the second stage of PRO process. The performance of dual stage PRO process was evaluated for a number of brackish water salinities ranged from 1. g/L to 5. g/L. The TDS of wastewater and freshwater was assumed 0.2. g/L. The results showed that a better PRO performance was achieved when the brackish water and the wastewater were introduced in the first stage and the second stage respectively. In case when wastewater and brackish water were introduced in the first and second stage respectively there was about 28% decrease in the second stage permeate flow. The results also showed a decrease in the first stage permeate flow with increasing the feed salinity but the second stage permeate flow increased with increasing the feed salinity. Furthermore the results showed that the first stage maximum power density was achieved at δP=. δπ/2 while the second stage maximum power density was achieved at δP=. δπ/1.5. Unlike the conventional PRO process, it has been found that the impact of feed salinity increase on the performance of dual stage PRO process was insignificant. Finally, the power generation in the dual stage PRO process was higher than that in the conventional PRO process. The difference was equal to the entire amount of power generated in the second stage of PRO process.
Altaee, A, Zaragoza, G & Sharif, A 2014, 'Corrigendum to ‘Pressure retarded osmosis for power generation and seawater desalination: Performance analysis’ [Desalination 344 (2014) 108–115]', Desalination, vol. 346, pp. 37-37.
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Altaee, A, Zaragoza, G & Sharif, A 2014, 'Pressure retarded osmosis for power generation and seawater desalination: Performance analysis', Desalination, vol. 344, pp. 108-115.
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The present study evaluated the performance of pressure retarded osmosis-reverse osmosis (PRO-RO) process for power generation and seawater desalination. Two pre-developed software were used separately to estimate the performance of forward osmosis (FO) and RO process. The draw and feed solutions in the FO process were seawater and low-quality water; i.e. wastewater effluent and brackish water. The simulation results showed that the FO performance increased with increasing seawater salinity and decreased with increasing feed water TDS. Increasing the feed and draw solution flow rate resulted in an increase in the FO performance especially when brackish water was used as a feed solution in the FO process. Power generation from the PRO process was found to increase with increasing the TDS of seawater and the flow rate of feed and draw solutions. The simulation results, however, showed that the PRO process was more sensitive to the increase in the seawater TDS than the flow rate of feed and draw solutions. For fresh water supply, the diluted seawater from the FO process was treated by RO membrane system. Up to 31% decrease in the desalination power consumption can be achieved by the PRO-RO process. It was also found that the increase in the draw solution flow rate resulted in an increase of the permeate concentration and power consumption. This issue should be considered in the operation of the PRO-RO system in order to reduce the overall treatment cost. © 2014.
Altaee, A, Zaragoza, G & van Tonningen, HR 2014, 'Comparison between Forward Osmosis-Reverse Osmosis and Reverse Osmosis processes for seawater desalination', Desalination, vol. 336, no. 1, pp. 50-57.
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The combination of Forward Osmosis (FO) and Reverse Osmosis (RO) was evaluated for seawater desalination. RO process was suggested for the draw solution regeneration because of its high efficiency and applicability for a wide range of ionic solution treatments. Two different salts, NaCl and MgCl2, were used as a draw solution. The performance of FO and RO regeneration processes was simulated using pre-developed software. A comparison between the RO and FO-RO processes was carried out. The simulation results showed that the total power consumption in the RO was lower than that in the FO-RO process. But, the difference in total power consumption between the RO and 0.65mol MgCl2 FO-RO processes was insignificant. The results also showed that the power consumption in the FO process was only 2%-4% of the total power consumption in the FO-RO process. However, the difference in total power consumption between the RO process and the FO-RO process decreased with a higher seawater salinity. In the FO-RO process, the results showed that the permeate TDS was increased with increasing the concentration of draw solution. The lowest permeate TDS was achieved in the 0.65mol MgCl2 FO-RO process and it was attributed to the high rejection rate of MgCl2 by the RO regeneration unit. © 2014 Elsevier B.V.
Althuwaynee, OF, Pradhan, B, Park, H-J & Lee, JH 2014, 'A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping', CATENA, vol. 114, pp. 21-36.
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Althuwaynee, OF, Pradhan, B, Park, H-J & Lee, JH 2014, 'A novel ensemble decision tree-based CHi-squared Automatic Interaction Detection (CHAID) and multivariate logistic regression models in landslide susceptibility mapping', Landslides, vol. 11, no. 6, pp. 1063-1078.
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Alzanki, T, Bennett, N, Gwilliam, R, Jeynes, C, Bailey, P, Noakes, T & Sealy, B 2014, 'Ion Beam Analysis for Hall Scattering Factor Measurements in Antimony Implanted Bulk and Strained Silicon', JOURNAL OF ENGINEERING RESEARCH, vol. 2, no. 1, pp. 121-132.
Al-Zubaydi, AYT & Dartnall, WJ 2014, 'Design and Modelling of Water Chilling Production System by the Combined Effects of Evaporation and Night Sky Radiation', Journal of Renewable Energy, vol. 2014, pp. 1-8.
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The design and mathematical modelling of thermal radiator panel to be used primarily to measure night sky radiation wet coated surface is presented in this paper. The panel consists of an upper dry surface coated aluminium sheet laminated to an ethylene vinyl acetate foam backing block as an insulation. Water is sprayed onto the surface of the panel so that an evaporative cooling effect is gained in addition to the radiation effect; the surface of a panel then is wetted in order to study and measure the night sky radiation from the panel wet surface. In this case, the measuring water is circulated over the upper face of this panel during night time. Initial TRNSYS simulations for the performance of the system are presented and it is planned to use the panel as calibrated instruments for discriminating between the cooling effects of night sky radiation and evaporation.
Amani, A, Mansor, S, Pradhan, B, Billa, L & Pirasteh, S 2014, 'Coupling effect of ozone column and atmospheric infrared sounder data reveal evidence of earthquake precursor phenomena of Bam earthquake, Iran', Arabian Journal of Geosciences, vol. 7, no. 4, pp. 1517-1527.
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Amarjargal, A, Tijing, LD, Shon, HK, Park, C-H & Kim, CS 2014, 'Facile in situ growth of highly monodispersed Ag nanoparticles on electrospun PU nanofiber membranes: Flexible and high efficiency substrates for surface enhanced Raman scattering', Applied Surface Science, vol. 308, pp. 396-401.
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Ambusaidi, MA, Tan, Z, He, X, Nanda, P, Lu, LF & Jamdagni, A 2014, 'Intrusion detection method based on nonlinear correlation measure', International Journal of Internet Protocol Technology, vol. 8, no. 2/3, pp. 77-77.
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Copyright © 2014 Inderscience Enterprises Ltd. Cyber crimes and malicious network activities have posed serious threats to the entire internet and its users. This issue is becoming more critical, as network-based services, are more widespread and closely related to our daily life. Thus, it has raised a serious concern in individual internet users, industry and research community. A significant amount of work has been conducted to develop intelligent anomaly-based intrusion detection systems (IDSs) to address this issue. However, one technical challenge, namely reducing false alarm, has been along with the development of anomaly-based IDSs since 1990s. In this paper, we provide a solution to this challenge. A nonlinear correlation coefficient-based (NCC) similarity measure is proposed to help extract both linear and nonlinear correlations between network traffic records. This extracted correlative information is used in our proposed IDS to detect malicious network behaviours. The effectiveness of the proposed NCC-based measure and the proposed IDS are evaluated using NSL-KDD dataset. The evaluation results demonstrate that the proposed NCC-based measure not only helps reduce false alarm rate, but also helps discriminate normal and abnormal behaviours efficiently.
Amiri, F, bin Mohamed Shariff, AR, Tabatabaie, T & Pradhan, B 2014, 'A geospatial model for the optimization grazing management in semi-arid rangeland of Iran', Arabian Journal of Geosciences, vol. 7, no. 3, pp. 1101-1114.
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Amiri, F, Rahdari, V, maleki najafabadi, S, Pradhan, B & Tabatabaei, T 2014, 'Erratum to: Multi-temporal landsat images based on eco-environmental change analysis in and around Chah Nimeh reservoir, Sistan and Balochestan (Iran)', Environmental Earth Sciences, vol. 72, no. 3, pp. 811-811.
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Amiri, F, Rahdari, V, maleki najafabadi, S, Pradhan, B & Tabatabaei, T 2014, 'Multi-temporal landsat images based on eco-environmental change analysis in and around Chah Nimeh reservoir, Balochestan (Iran)', Environmental Earth Sciences, vol. 72, no. 3, pp. 801-809.
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An, Z, He, J, Dai, Y, Yu, C, Li, B & He, J 2014, 'Enhanced heterogeneous asymmetric catalysis via the acid–base cooperation between achiral silanols of mesoporous supports and immobilized chiral amines', Journal of Catalysis, vol. 317, pp. 105-113.
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Ansari, Y, Kouretzis, GP & Sheng, D 2014, 'An effective stress analysis of partially embedded offshore pipelines: Vertical penetration and axial walking', Computers and Geotechnics, vol. 58, pp. 69-80.
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Ansari, Y, Merifield, R & Sheng, D 2014, 'A piezocone dissipation test interpretation method for hydraulic conductivity of soft clays', Soils and Foundations, vol. 54, no. 6, pp. 1104-1116.
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Ansari, Y, Pineda, J, Kouretzis, G & Sheng, D 2014, 'Experimental and numerical investigation of rate and softening effects on the undrained shear strength of ballinaclay', Australian Geomechanics Journal, vol. 49, no. 4, pp. 51-57.
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We present the basic components of a methodology to investigate two key aspects of the mechanical behaviour of some natural clays, namely the dependency of the undrained shear strength on the rate of shearing, and the softening response at large strains. For that, we will use a blend of novel experimental testing procedures and cutting-edge computational techniques, currently under development at the University of Newcastle. Measurements of the shear stress-strain response under undrained conditions will be obtained using a newly developed miniature vane shear apparatus, featuring automatic control of the blade rotation velocity. Laboratory tests will be complemented with largedeformation numerical simulations of the vane test with the coupled Eulerian-Lagrangian method. For that, an appropriate constitutive model is implemented in ABAQUS/Explicit, able to simulate the visco-plastic strain-softening response of soft clays. Testing will be performed on the soft estuarine clay samples retrieved from the national geotechnical soft soil field testing facility, established in Ballina, NSW. With the focus being on Australian soft clays, the long-term goal of this study is to improve the procedures for performing and interpreting in situ tests included in Australian Standards.
Apeh, E, Gabrys, B & Schierz, A 2014, 'Customer profile classification: To adapt classifiers or to relabel customer profiles?', Neurocomputing, vol. 132, pp. 3-13.
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Customer profiles are, by definition, made up of factual and transactional data. It is often the case that due to reasons such as high cost of data acquisition and/or protection, only the transactional data are available for data mining operations. Transactional data, however, tend to be highly sparse and skewed due to a large proportion of customers engaging in very few transactions. This can result in a bias in the prediction accuracy of classifiers built using them. The problem is even more so when identifying and classifying changing customer profiles whose classification may change either due to a concept drift or due to a change in buying behaviour. This paper presents a comparative investigation of 4 approaches for classifying dynamic customer profiles built using evolving transactional data over time. The changing class values of the customer profiles were analysed together with the challenging problem of deciding whether to change the class label or adapt the classifier. The results from the experiments we conducted on a highly sparse and skewed real-world transactional data show that adapting the classifiers leads to more stable classification of customer profiles in the shorter time windows; while relabelling the changed customer profile classes leads to more accurate and stable classification in the longer time windows. © 2013 Elsevier B.V.
Aquilina, P, Parr, WCH, Chamoli, U, Wroe, S & Clausen, P 2014, 'A Biomechanical Comparison of Three 1.5-mm Plate and Screw Configurations and a Single 2.0-mm Plate for Internal Fixation of a Mandibular Condylar Fracture', Craniomaxillofacial Trauma & Reconstruction, vol. 7, no. 3, pp. 218-223.
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The most stable pattern of internal fixation for mandibular condyle fractures is an area of ongoing discussion. This study investigates the stability of three patterns of plate fixation using readily available, commercially pure titanium implants. Finite element models of a simulated mandibular condyle fracture were constructed. The completed models were heterogeneous in bone material properties, contained approximately 1.2 million elements and incorporated simulated jaw adducting musculature. Models were run assuming linear elasticity and isotropic material properties for bone. No human subjects were involved in this investigation. The stability of the simulated condylar fracture reduced with the different implant configurations, and the von Mises stresses of a 1.5-mm X-shaped plate, a 1.5-mm rectangular plate, and a 1.5-mm square plate (all Synthes (Synthes GmbH, Zuchwil, Switzerland) were compared. The 1.5-mm X plate was the most stable of the three 1.5-mm profile plate configurations examined and had comparable mechanical performance to a single 2.0-mm straight four-hole plate. This study does not support the use of rectangular or square plate patterns in the open reduction and internal fixation of mandibular condyle fractures. It does provide some support for the use of a 1.5-mm X plate to reduce condylar fractures in selected clinical cases.
Arodudu, O, Ibrahim, E, Voinov, A & van Duren, I 2014, 'Exploring bioenergy potentials of built-up areas based on NEG-EROEI indicators', Ecological Indicators, vol. 47, pp. 67-79.
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Arsene, CTC & Gabrys, B 2014, 'Mixed simulation-state estimation of water distribution systems based on a least squares loop flows state estimator', Applied Mathematical Modelling, vol. 38, no. 2, pp. 599-619.
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This paper presents combined simulation and state estimation algorithm for water distribution systems based on the loop corrective flows and the variation of nodal demands as independent variables and it optimizes the Least Squares (LS) criterion. The combination of the two algorithms for simulation and state estimation is based on the delimitation of regions in the water network that are state estimated while for the remaining parts of the water network the simulation task is realized. The sizes of the respective delimitations can be based either on the hydraulic or topological distances from the real pressure measurements, flow measurements or measured nodal consumptions. The delimitations are realized through modifications of the inverse of the upper form tree incidence matrix which is used in order to construct the respective state estimated or simulated water network areas: the simulated nodes and pipes have the corresponding incidence columns zeroed in the inverse of the upper form tree incidence matrix while the state estimated nodes and pipes keep the values of their incidence described in the corresponding columns of the inverse of the upper form tree incidence matrix. The combined novel algorithm can be also applied to regions of water distribution systems which contain low pipe flows so that to avoid any convergence problems in the numerical algorithm. It results an efficient and effective novel mixed simulation-state estimation which is implemented on realistic water distribution systems. © 2013 Elsevier Inc.
Ary Subagia, IDG, Kim, Y, Tijing, LD, Kim, CS & Shon, HK 2014, 'Effect of stacking sequence on the flexural properties of hybrid composites reinforced with carbon and basalt fibers', Composites Part B: Engineering, vol. 58, pp. 251-258.
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We investigated the effect of different stacking sequences of carbon and basalt fabrics on the flexural properties of hybrid composite laminates. The hybrid composites were fabricated using a vacuum-assisted resin transfer molding process. Three-point bending test was performed and the fracture surfaces were examined by scanning electron microscopy. The present results showed that the flexural strength and modulus of hybrid composite laminates were strongly dependent on the sequence of fiber reinforcement. All the stacking sequences showed a positive hybridization effect. The interply hybrid composite with carbon fiber at the compressive side exhibited higher flexural strength and modulus than when basalt fabric was placed at the compressive side. Here, the proper stacking sequence of basalt and carbon fiber layers was found to improve the balance of the mechanical properties of the hybrid composite laminate. © 2013 Elsevier Ltd. All rights reserved.
Ary Subagia, IDG, Tijing, LD, Kim, Y, Kim, CS, Vista IV, FP & Shon, HK 2014, 'Mechanical performance of multiscale basalt fiber–epoxy laminates containing tourmaline micro/nano particles', Composites Part B: Engineering, vol. 58, pp. 611-617.
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In this study, the effect of different tourmaline (TM) micro/nano particle loading (i.e., 0.5-2 wt%) on the tensile and flexural properties of a basalt fiber-reinforced epoxy composite laminate (BFRP) was investigated. The TM/basalt/epoxy laminates were fabricated by impregnating woven basalt fibers into epoxy resin mixed with TM particles via vacuum assisted resin transfer molding. Tensile and flexural tests were performed according to ASTM standards. Fracture surfaces were characterized by scanning electron microscopy and energy dispersive spectroscopy. The results showed significant improvement in both tensile and flexural strength and modulus when tourmaline particles where incorporated in the basalt/epoxy composite. The best result was obtained at 1 wt% TM loading with surfactant (i.e., C4) showing an increase of ∼16% in both tensile and flexural strength, and 27.4% and 153.3% increase in tensile and flexural modulus, respectively, compared to neat basalt/epoxy composite. The enhanced performance of TM/basalt/epoxy laminates is attributed to a good dispersion of TM particles in the epoxy matrix providing increased surface area for strong interfacial interaction and good load transfer. © 2013 Elsevier Ltd. All rights reserved.
Asadullah, M, Jahan, I, Ahmed, MB, Adawiyah, P, Malek, NH & Rahman, MS 2014, 'Preparation of microporous activated carbon and its modification for arsenic removal from water', JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY, vol. 20, no. 3, pp. 887-896.
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Ashraf, J, Hussain, OK & Hussain, FK 2014, 'Empirical analysis of domain ontology usage on the Web: eCommerce domain in focus', CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, vol. 26, no. 5, pp. 1157-1184.
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In the recent past, there has been an exponential growth in Resource Description Framework data on the web known as web of data. The emergence of the web of data is transforming the existing web from a document-sharing medium to a decentralized knowledge platform for publishing and sharing information between humans and computers. To enable common understanding between different users, domain ontologies are being developed and deployed to annotate information on the web. This semantically annotated information is then accessed by machines to extract and aggregate information, on the basis of the underlying ontologies used. To effectively and efficiently access data on the web, insight into the usage of ontology is pivotal, because this assists users in experiencing the benefits offered by the Semantic Web. However, such an approach has not been proposed in the literature. In this paper, we present a pragmatic approach to the analysis of domain ontology usage on the web. We propose metrics to measure the use of domain ontology constructs on the web from different aspects. To comprehensively understand the usage patterns of conceptual knowledge, instance data, and ontology co-usability, we considered GoodRelations ontology as the domain ontology and built a dataset by collecting structured data from 211 web-based data sources that have published information using the domain ontology. The dataset is analyzed by using the proposed metrics and observations along with their usability and applicability to the different users of the Semantic Web. Copyright © 2013 John Wiley & Sons, Ltd.
Ashraful, AM, Masjuki, HH, Kalam, MA, Rahman, SMA, Habibullah, M & Syazwan, M 2014, 'Study of the Effect of Storage Time on the Oxidation and Thermal Stability of Various Biodiesels and Their Blends', Energy & Fuels, vol. 28, no. 2, pp. 1081-1089.
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Ashraful, AM, Masjuki, HH, Kalam, MA, Rashedul, HK, Sajjad, H & Abedin, MJ 2014, 'Influence of anti-corrosion additive on the performance, emission and engine component wear characteristics of an IDI diesel engine fueled with palm biodiesel', Energy Conversion and Management, vol. 87, pp. 48-57.
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Ashraful, AM, Masjuki, HH, Kalam, MA, Rizwanul Fattah, IM, Imtenan, S, Shahir, SA & Mobarak, HM 2014, 'Production and comparison of fuel properties, engine performance, and emission characteristics of biodiesel from various non-edible vegetable oils: A review', Energy Conversion and Management, vol. 80, pp. 202-228.
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Aslani, F, Nejadi, S & Samali, B 2014, 'Long-term flexural cracking control of reinforced self-compacting concrete one way slabs with and without fibres', COMPUTERS AND CONCRETE, vol. 14, no. 4, pp. 419-444.
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Aslani, F, Nejadi, S & Samali, B 2014, 'Short term bond shear stress and cracking control of reinforced self-compacting concrete one way slabs under flexural loading', COMPUTERS AND CONCRETE, vol. 13, no. 6, pp. 709-737.
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Fibre-reinforced self-compacting concrete (FRSCC) is a high-performance building material that combines positive aspects of fresh properties of self-compacting concrete (SCC) with improved characteristics of hardened concrete as a result of fibre addition. To produce SCC, either the constituent materials or the corresponding mix proportions may notably differ from the conventional concrete (CC). These modifications besides enhance the concrete fresh properties affect the hardened properties of the concrete. Therefore, it is vital to investigate whether all the assumed hypotheses about CC are also valid for SCC structures. In the present paper, the experimental results of short-term flexural load tests on eight reinforced SCC and FRSCC specimens slabs are presented. For this purpose, four SCC mixes - two plain SCC, two steel, two polypropylene, and two hybrid FRSCC slab specimens - are considered in the test program. The tests are conducted to study the development of SCC and FRSCC flexural cracking under increasing short-term loads from first cracking through to flexural failure. The achieved experimental results give the SCC and FRSCC slabs bond shear stresses for short-term crack width calculation. Therefore, the adopted bond shear stress for each mix slab is presented in this study. Crack width, crack patterns, deflections at mid-span, steel strains and concrete surface strains at the steel levels were recorded at each load increment in the post-cracking range. Copyright © 2014 Techno-Press, Ltd.
Atabani, AE, Mofijur, M, Masjuki, HH, Badruddin, IA, Chong, WT, Cheng, SF & Gouk, SW 2014, 'A study of production and characterization of Manketti (Ricinodendron rautonemii) methyl ester and its blends as a potential biodiesel feedstock', Biofuel Research Journal, vol. 1, no. 4, pp. 139-146.
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Globally, more than 350 oil-bearing crops are known as potential biodiesel feedstocks. This study reports on production and characterization of Manketti (Ricinodendron rautonemii) methyl ester and its blends with diesel. The effect of Manketti biodiesel (B5) on engine and emissions performance was also investigated. The cloud, pour and cold filter plugging points of the produced biodiesel were measured at 1, 3 and 5 °C, respectively. However, the kinematic viscosity of the biodiesel generated was found to be 8.34 mm /s which was higher than the limit described by ASTM D6751 and EN 14214. This can be attributed to the high kinematic viscosity of the parent oil (132.75 mm /s). Nevertheless, blending with diesel improved this attribute. Moreover, it is observed that at all engine speeds, B5 produced lower brake power (1.18%) and higher brake specific fuel consumption (2.26%) compared to B0 (neat diesel). B5 increased the CO and HC emissions by 32.27% and 37.5%, respectively, compared to B0. However, B0 produced 5.26% higher NO emissions than B5. 2 2
Atabani, AE, Mofijur, M, Masjuki, HH, Badruddin, IA, Kalam, MA & Chong, WT 2014, 'Effect of Croton megalocarpus, Calophyllum inophyllum, Moringa oleifera, palm and coconut biodiesel–diesel blending on their physico-chemical properties', Industrial Crops and Products, vol. 60, pp. 130-137.
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Athab, HS, Dah-Chuan Lu, D, Yazdani, A & Wu, B 2014, 'An Efficient Single-Switch Quasi-Active PFC Converter With Continuous Input Current and Low DC-Bus Voltage Stress', IEEE Transactions on Industrial Electronics, vol. 61, no. 4, pp. 1735-1749.
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Azadeh, A, Darivandi Shoushtari, K, Saberi, M & Teimoury, E 2014, 'An Integrated Artificial Neural Network and System Dynamics Approach in Support of the Viable System Model to Enhance Industrial Intelligence: The Case of a Large Broiler Industry', Systems Research and Behavioral Science, vol. 31, no. 2, pp. 236-257.
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Organizational cybernetics is one of the powerful systems approaches that benefits from the viable system model (VSM). The model is very general and is usually in need of complementary methods. In this article, one of artificial intelligence methods, artificial neural networks (ANNs), and system dynamics simulation have been used in support of the VSM. Iran broiler industry is conceived as a complex economic system and has been modelled using VSM. Operational elements, coordination, control, development, policy functions and environment of the industry are identified. ANN has been utilized in service of the controller (system 3) and the intelligence function (system 4) of the industry. ANN helps system 3 to anticipate market deviation from defined targets and reduce action delays for feeding the system back. A model in which ANN and system dynamics simulation are combined helps systems 4 and 5 manage external relationships by facilitation of defining imports tariff for maize and soybean, which are detected as critical environmental elements in identifying the industry environment. Maize and soybean cost contribute to more than 60% of chicken meat cost in Iran. Chicken meat is a high‐consumed product all over the world and one of the main sources of protein. Suitable price of chicken meat is an important factor for the industry managers in Iran. As illustrated in the paper, artificial intelligence can improve VSM subsystems functioning and enhance the industry intelligence and regulation against internal and external oscillations. Copyright © 2013 John Wiley & Sons, Ltd.
Azadeh, A, Rouzbahman, M, Saberi, M & Valianpour, F 2014, 'An adaptive algorithm for assessment of operators with job security and HSEE indicators', Journal of Loss Prevention in the Process Industries, vol. 31, pp. 26-40.
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Azadeh, A, Salehi, V, Ashjari, B & Saberi, M 2014, 'Performance evaluation of integrated resilience engineering factors by data envelopment analysis: The case of a petrochemical plant', Process Safety and Environmental Protection, vol. 92, no. 3, pp. 231-241.
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Azcue-Puma, JL, Sguarezi Filho, AJ & Ruppert, E 2014, 'The Fuzzy Logic-Based Stator-Flux-Oriented Direct Torque Control for Three-Phase Asynchronous Motor', Journal of Control, Automation and Electrical Systems, vol. 25, no. 1, pp. 46-54.
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The main purpose of this article is to explore the relationship of two existing conditions for the triangular decoupling problem. The first one is the triangular-diagonal-dominance condition proposed by Hung and Anderson. The second one is the stable coprime factorisation-described condition proposed by Gomez and Goodwin, which has been proven as a necessary and sufficient condition for the triangular decoupling problem. This article proves that the two conditions are actually equivalent. It also provides easy-to-use criteria for assessment of the solvability of the triangular decoupling problem.
Bagheri, M, Borhani, TNG, Gandomi, AH & Manan, ZA 2014, 'A simple modelling approach for prediction of standard state real gas entropy of pure materials', SAR and QSAR in Environmental Research, vol. 25, no. 9, pp. 695-710.
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The performance of an energy conversion system depends on exergy analysis and entropy generation minimisation. A new simple four-parameter equation is presented in this paper to predict the standard state absolute entropy of real gases (SSTD). The model development and validation were accomplished using the Linear Genetic Programming (LGP) method and a comprehensive dataset of 1727 widely used materials. The proposed model was compared with the results obtained using a three-layer feed forward neural network model (FFNN model). The root-mean-square error (RMSE) and the coefficient of determination (r(2)) of all data obtained for the LGP model were 52.24 J/(mol K) and 0.885, respectively. Several statistical assessments were used to evaluate the predictive power of the model. In addition, this study provides an appropriate understanding of the most important molecular variables for exergy analysis. Compared with the LGP based model, the application of FFNN improved the r(2) to 0.914. The developed model is useful in the design of materials to achieve a desired entropy value.
Bajan, S & Hutvagner, G 2014, 'Regulation of miRNA Processing and miRNA Mediated Gene Repression in Cancer', MicroRNA, vol. 3, no. 1, pp. 10-17.
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The majority of human protein-coding genes are predicted to be targets of miRNA-mediated post-transcriptional regulation. The widespread influence of miRNAs is illustrated by their essential roles in all biological processes. Regulated miRNA expression is essential for maintaining cellular differentiation; therefore alterations in miRNA expression patterns are associated with several diseases, including various cancers. High-throughput sequencing technologies revealed low level expressing miRNA isoforms, termed isomiRs. IsomiRs may differ in sequence, length, target preference and expression patterns from their parental miRNA and can arise from differences in miRNA biosynthesis, RNA editing, or SNPs inherent to the miRNA gene. The association between isomiR expression and disease progression is largely unknown. Misregulated miRNA expression is thought to contribute to the formation and/or progression of cancer. However, due to the diversity of targeted transcripts, miRNAs can function as both tumor-suppressor genes and oncogenes as defined by cellular context. Despite this, miRNA profiling studies concluded that the differential expression of particular miRNAs in diseased tissue could aid the diagnosis and treatment of some cancers.
Banjar, A, Pupatwibuli, P & Braun, R 2014, 'DAIM: a Mechanism to Distribute Control Functions within OpenFlow Switches', Journal of Networks, vol. 9, no. 1.
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Banjar, A, Pupatwibuli, P & Braun, R 2014, 'DAIM: A mechanism to distribute control functions within openflow switches', Journal of Networks, vol. 9, no. 1, pp. 1-9.
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Telecommunication networks need to support a wide range of services and functionalities with capability of autonomy, scalability and adaptability for managing applications to meet business needs. Networking devices are increasing in complexity among various services and platforms, from different vendors. The network complexity is required experts' operators. This paper explores an introduction to networks programmability, by distributing independent computing environment, which would be demonstrated through a structured system named DAIM model (Distributed Active information Model). In addition it seeks to enhance current SDN (Software-Defined Networking) approach which has some scalability issues. The DAIM model can provide richness of nature-inspired adaptation algorithms on a complex distributed computing environment. The DAIM model uses a group of standard switches, databases, and corresponding between them by using DAIM agents. These agents are imposed by a set of network applications, which is integrated with a DAIM model databases. DAIM model also considers challenges of autonomic functionalities, where each network's device can make its own decisions on the basis of collected information by the DAIM agents. The DAIM model is expected to satisfy the requirement of autonomic functionalities. Moreover, this paper discussed the processing of packets forwarding within DAIM model as well as the risk scenarios of the DAIM model. © 2014 ACADEMY PUBLISHER.
Banjar, AR, Pupatwibul, P, Al Sabbagh, A & Braun, RM 2014, 'Using an ICN Approach to Support Multiple Controllers in OpenFlow', International Journal of Electrical & Computer Sciences, vol. 14, no. 02, pp. 1-6.
Bano, M, Zowghi, D, Ikram, N & Niazi, M 2014, 'What makes service oriented requirements engineering challenging? A qualitative study', IET SOFTWARE, vol. 8, no. 4, pp. 154-160.
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The focus of Service Oriented Software Development (SOSD) is to develop software by integrating reusable services to lower the required cost, time and effort of development and increase reusability, agility, quality and customer satisfaction. It has been recognised in the literature that SOSD faces various challenges especially in requirements engineering (RE). The objective of this study is to investigate these challenges of Service Oriented RE (SORE) from practitioners' perspectives in order to gain a deeper understanding of the related issues and to reveal potential gaps between research and practice in SORE. They present a qualitative study of the challenges and issues in SORE. The data were collected by conducting interviews with practitioners working in IT companies in Sydney, who have had substantial experience with service oriented software projects. The authors findings reveal that most of the challenges of SORE are similar to those that are faced during RE in traditional or component-based software development. According to the practitioners, the research and practice has made some advances in the technical direction but the human related issues in SORE have not been addressed adequately. © The Institution of Engineering and Technology 2014.
Banwell, GH, Roberts, JR, Halkon, BJ, Rothberg, SJ & Mohr, S 2014, 'Understanding the Dynamic Behaviour of a Tennis Racket under Play Conditions', Experimental Mechanics, vol. 54, no. 4, pp. 527-537.
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The 'feel' of tennis rackets is of increasing importance to manufacturers seeking product differentiation in a context where further performance enhancements are prevented by a combination of mechanical limits and regulations imposed to protect the integrity of the sport. Vibrations excited during a shot contribute greatly to the perception of 'feel'. Previous studies have been reported but none has covered the full set of mode families or the frequency range in this study. In-plane vibrations associated with the routine use of topspin shots in modern tennis have not been documented so far in the literature. To consider modal behaviour, multiple measurements during play conditions are required but this is practically impossible. This paper proposes an alternative approach and successfully relates a comprehensive modal analysis on a freely suspended racket to vibration measurements under play conditions. This is achieved through an intermediate stage comprising a necessarily more limited modal analysis on a hand-gripped racket and use of the mass modification modal analysis tool. This stage confirmed the prevailing view that hand-gripping can be considered as a mass modification distributed along the handle of the freely suspended racket but the associated mass was much lower than that of an actual hand and the hand also increased the damping ratio of frame modes significantly. Furthermore, in frame vibration measurements during forehand groundstrokes, a greater reduction in bending mode frequencies was observed, consistent with a mass-loading of around 25 % of the actual hand as a consequence of the tighter grip. In these play tests, the first two bending modes, the first torsional mode, the first eight stringbed modes, the first three hoop modes and the third in-plane bending mode were identified, with the stringbed modes being particularly prominent. © 2013 Society for Experimental Mechanics.
Barua, S, Afroz, F, Sunbeam Islam, S, Ahmed, AU, Ghosal, P & Sandrasegaran, K 2014, 'Comparative Study on Priority Based QOS Aware Mac Protocols for WSN', International Journal of Wireless & Mobile Networks, vol. 6, no. 5, pp. 175-181.
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Behbood, V, Lu, J & Zhang, G 2014, 'Fuzzy Refinement Domain Adaptation for Long Term Prediction in Banking Ecosystem', IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, vol. 10, no. 2, pp. 1637-1646.
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Long-term bank failure prediction is a challenging real world problem in banking ecosystem and machine learning methods have been recently applied to improve the prediction accuracy. However, traditional machine learning methods assume that the training data and the test data are drawn from the same distribution, which is hard to be met in real world banking applications. This paper proposes a novel algorithm known as fuzzy refinement domain adaptation to solve this problem based on the ecosystem-oriented architecture. The algorithm utilizes the fuzzy system and similarity/dissimilarity concepts to modify the target instances' labels which were initially predicted by a shift-unaware prediction model. It employs a classifier to modify the label values of target instances based on their similarity/dissimilarity to the candidate positive and negative instances in mixture domains. Thirty six experiments are performed using three different shift-unaware prediction models. In these experiments bank failure financial data is used to evaluate the algorithm. The results demonstrate that the proposed algorithm significantly improves predictive accuracy and outperforms other refinement algorithms. © 2012 IEEE.
Belhaj, D, Jaabiri, I, Ayadi, H, Kallel, M & Zhou, JL 2014, 'Occurrence and removal of steroidal estrogens in Centre Eastern Tunisia municipal sewage treatment plant', Desalination and Water Treatment, vol. 52, no. 10-12, pp. 2330-2339.
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Occurrence and removal efficiencies of both natural estrogens, estrone (E1), 17β-estradiol (E2) and estriol (E3), and a synthetic estrogen, 17α-ethinylestradiol (EE2), were investigated in sewage treatment plant in Centre Eastern Tunisia employing simple activated sludge process. Concentrations of target estrogens were determined in both wastewater and sludge phases by gas chromatography coupled with mass spectrometer. Among the estrogens studied, E3 was found as the dominant compound detected in wastewater samples with average concentration up to 300 ± 4 ng/L in influent and up to 36 ± 2 in effluent. High aqueous phase removals (>85%) were achieved for E3, while only low to moderate removals for E1, E2, and EE2 (<75%). Based on the mass balance analysis, sorption onto sludge played a dominant role in the removal of estrogens in warm season, especially for E1 and E2 (69.5 and 66.3%, respectively), while biological degradation played a significant role in hot season (61%). © 2013 Balaban Desalination Publications. All rights reserved.
Belles-Sampera, J, Merigó, JM, Guillén, M & Santolino, M 2014, 'Indicators for the characterization of discrete Choquet integrals', Information Sciences, vol. 267, pp. 201-216.
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Bharathy, G & McShane, MK 2014, 'Applying a Systems Model to Enterprise Risk Management', Engineering Management Journal, vol. 26, no. 4, pp. 38-46.
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Bhowmick, S, Molla, MM, Mia, M & Saha, SC 2014, 'Non-newtonian Mixed Convection Flow from a Horizontal Circular Cylinder with Uniform Surface Heat Flux', Procedia Engineering, vol. 90, pp. 510-516.
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Bianchini, S, Maxwell, T & Dovey, K 2014, 'Rethinking leadership in the academy: an Australian case', Innovations in Education and Teaching International, vol. 51, no. 5, pp. 556-567.
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As with higher education institutions in other Organisation for Economic Cooperation and Development countries, Australian universities are facing significant challenges. One particular challenge is that of the declining quality of the teaching and learning experience within the academy. This paper describes an attempt to sustain the quality of a `flagship postgraduate academic programme through an action research initiative intended to distribute the programme's leadership across its stakeholder community. One year into the intervention, while its achievements include new collaborative arrangements with the university, as well as unconventional teaching/learning partnerships and enriched stakeholder learning, its standing within the university remains uncertain.
Billa, L, Pradhan, B & Yakuup, A 2014, 'GIS routing and modelling of residential waste collection for operational management and cost optimization', Pertanika Journal of Science and Technology, vol. 22, no. 1, pp. 193-212.
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In this paper, optimum routing was developed based on the travel salesman method and integrated in ArcInfo GIS using linear programming. The results of the optimized travel distances and times for residential waste collection and routing to disposal site were used to calculate the number and type of required track collection, labour requirement, costing of waste collection and to determine the overall solid waste management efficiency through waste management operation research methods. The objective of the study was to optimize residential collection and hauling to disposal site through operation cost minimization for Petaling Jaya Municipality in the state of Selangor, Malaysia. The study determined that with optimized routes and recycling possibilities, the total cost of waste collections could be reduced from RM90,372 to RM20,967, with a reduction of 76.8%. It was also revealed that optimum routes might not necessarily be the shortest distance from point A to point B as travel time maybe high on short distances due to traffic congestion and the presence of many traffic lights. Techniques and methods developed using general GIS have proven effective in route optimization and allowed management of data to suit local conditions and limitations of waste management for the studied area. Thus, scenarios of travel distances, time and waste quantity value generated from the GIS enabled appropriate determination of the number of waste trucks and labour requirements for the operation and the overall calculation of costs of waste management based on the operation research methods used in the study.
Bjarnadottir, S, Li, Y & Stewart, MG 2014, 'Regional loss estimation due to hurricane wind and hurricane-induced surge considering climate variability', Structure and Infrastructure Engineering, vol. 10, no. 11, pp. 1369-1384.
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This paper presents a framework to assess the potential hurricane damage risks to residential construction. Studies show that hurricane wind, frequency and/or hurricane-induced surge may change as a result of climate change; therefore, hurricane risk assessments should be capable of accounting for the impacts climate change. The framework includes a hurricane wind field model, hurricane-induced surge height model and hurricane vulnerability models. Three case study locations (Miami-Dade County, FL; New Hanover County, NC and Galveston County, TX) are presented for two types of analyses: annual regional loss estimation and event-based regional loss estimation. Demographic information, such as median house value and changes in house numbers, and distribution of houses for different exposures, is used to estimate the time-dependent probability of damage with or without possible climate change-induced change in wind speed, frequency and/or surge height. Through both analyses, it was found that climate change may have a significant impact on regional hurricane damage losses.
Bjarnadottir, S, Li, Y & Stewart, MG 2014, 'Risk-based economic assessment of mitigation strategies for power distribution poles subjected to hurricanes', Structure and Infrastructure Engineering, vol. 10, no. 6, pp. 740-752.
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This paper presents a risk-based framework to assess the hurricane damage risks to distribution poles, and investigates the risks, costs and benefit of different mitigation strategies. It is estimated that power outages due to storms cause approximately $270 million in repair/replacement costs annually in the USA. Hurricane Irene alone left approximately 6 million residents without power along the east coast of the USA in 2011, causing an estimated $5-$7 billion in damages. These high repair/replacement costs warrant an investigation of mitigation strategies that may aid in reducing replacement and damage costs. This paper describes the reliability analysis of typical timber distribution poles and probabilistic wind models to determine failure probabilities for specific locations. Furthermore, in order to more accurately portray the behaviour of distribution poles, the proposed framework includes the degradation and service-proven reliability of timber distribution poles. Four mitigation strategies are developed, and the cost effectiveness of each strategy is evaluated. In order to assess the cost effectiveness, a life cycle cost analysis is conducted for each mitigation strategy. This paper finds that appropriate mitigation strategies can reduce replacement costs of distribution poles associated with hurricane wind by 2060. © 2013 © 2013 Taylor & Francis.
Blamires, SJ, Hou, C, Chen, L-F, Liao, C-P & Tso, I-M 2014, 'A predator’s body coloration enhances its foraging profitability by day and night', Behavioral Ecology and Sociobiology, vol. 68, no. 8, pp. 1253-1260.
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Bo Liu, Yanshan Xiao, Yu, PS, Zhifeng Hao & Longbing Cao 2014, 'An Efficient Approach for Outlier Detection with Imperfect Data Labels', IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 7, pp. 1602-1616.
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The task of outlier detection is to identify data objects that are markedly different from or inconsistent with the normal set of data. Most existing solutions typically build a model using the normal data and identify outliers that do not fit the represented model very well. However, in addition to normal data, there also exist limited negative examples or outliers in many applications, and data may be corrupted such that the outlier detection data is imperfectly labeled. These make outlier detection far more difficult than the traditional ones. This paper presents a novel outlier detection approach to address data with imperfect labels and incorporate limited abnormal examples into learning. To deal with data with imperfect labels, we introduce likelihood values for each input data which denote the degree of membership of an example toward the normal and abnormal classes respectively. Our proposed approach works in two steps. In the first step, we generate a pseudo training dataset by computing likelihood values of each example based on its local behavior. We present kernel k-means clustering method and kernel LOF-based method to compute the likelihood values. In the second step, we incorporate the generated likelihood values and limited abnormal examples into SVDD-based learning framework to build a more accurate classifier for global outlier detection. By integrating local and global outlier detection, our proposed method explicitly handles data with imperfect labels and enhances the performance of outlier detection. Extensive experiments on real life datasets have demonstrated that our proposed approaches can achieve a better tradeoff between detection rate and false alarm rate as compared to state-of-the-art outlier detection approaches.
Bouwmans, T, Gonzàlez, J, Shan, C, Piccardi, M & Davis, L 2014, 'Special issue on background modeling for foreground detection in real-world dynamic scenes', Machine Vision and Applications, vol. 25, no. 5, pp. 1101-1103.
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Brandl, MB, Pasquier, E, Li, F, Beck, D, Zhang, S, Zhao, H, Kavallaris, M & Wong, STC 2014, 'Computational analysis of image-based drug profiling predicts synergistic drug combinations: Applications in triple-negative breast cancer', MOLECULAR ONCOLOGY, vol. 8, no. 8, pp. 1548-1560.
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An imaged-based profiling and analysis system was developed to predict clinically effective synergistic drug combinations that could accelerate the identification of effective multi-drug therapies for the treatment of triple-negative breast cancer and other challenging malignancies. The identification of effective drug combinations for the treatment of triple-negative breast cancer (TNBC) was achieved by integrating high-content screening, computational analysis, and experimental biology. The approach was based on altered cellular phenotypes induced by 55 FDA-approved drugs and biologically active compounds, acquired using fluorescence microscopy and retained in multivariate compound profiles. Dissimilarities between compound profiles guided the identification of 5 combinations, which were assessed for qualitative interaction on TNBC cell growth. The combination of the microtubule-targeting drug vinblastine with KSP/Eg5 motor protein inhibitors monastrol or ispinesib showed potent synergism in 3 independent TNBC cell lines, which was not substantiated in normal fibroblasts. The synergistic interaction was mediated by an increase in mitotic arrest with cells demonstrating typical ispinesib-induced monopolar mitotic spindles, which translated into enhanced apoptosis induction. The antitumour activity of the combination vinblastine/ispinesib was confirmed in an orthotopic mouse model of TNBC. Compared to single drug treatment, combination treatment significantly reduced tumour growth without causing increased toxicity. Image-based profiling and analysis led to the rapid discovery of a drug combination effective against TNBC in vitro and in vivo, and has the potential to lead to the development of new therapeutic options in other hard-to-treat cancers.
Brun, TA, Devetak, I & Hsieh, M-H 2014, 'Catalytic Quantum Error Correction', IEEE Transactions on Information Theory, vol. 60, no. 6, pp. 3073-3089.
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We develop the theory of entanglement-assisted quantum error-correcting (EAQEC) codes, a generalization of the stabilizer formalism to the setting in which the sender and receiver have access to preshared entanglement. Conventional stabilizer codes are equivalent to self-orthogonal symplectic codes. In contrast, EAQEC codes do not require self-orthogonality, which greatly simplifies their construction. We show how any classical binary or quaternary block code can be made into an EAQEC code. We provide a table of best known EAQEC codes with code length up to 10. With the self-orthogonality constraint removed, we see that the distance of an EAQEC code can be better than any standard quantum error-correcting code with the same fixed net yield. In a quantum computation setting, EAQEC codes give rise to catalytic quantum codes, which assume a subset of the qubits are noiseless. We also give an alternative construction of EAQEC codes by making classical entanglement-assisted codes coherent. © 1963-2012 IEEE.
Brunner, N, Fallböhmer, M, Sousanabady, RJ, Schallow, J & Deuse, J 2014, 'Plattformkonzept für die Montageplanung', Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 109, no. 11, pp. 848-852.
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Kurzfassung Die Standardisierung von Montagesystemen stellt eine Möglichkeit dar, die Wettbewerbsfähigkeit produzierender Unternehmen zu sichern. Durch die Wiederverwendung bekannter Systemelemente wird zum einen die Planungszeit verkürzt, zum anderen die Qualität des Ergebnisses gesteigert. Damit die Standards in globalen Planungsnetzwerken angewendet werden können, ist die Unterstützung durch digitale Werkzeuge erforderlich. In diesem Beitrag wird ein Referenzdatenmodell für die digitale Abbildung eines standardisierten Montagesystems sowie die Umsetzung in einem PLM-System beschrieben.
Brzozowska, MM, Bliuc, D, Hong, A, Jorgensen, J, Talbot, M, Travers, V, Rigas, G, Chen, W, Tran, T, Pocock, NA, Eisman, JA, White, CP, Baldock, P & Center, JR 2014, 'Long term skeletal changes following different types of bariatric surgery', Obesity Research & Clinical Practice, vol. 8, pp. 11-11.
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Bu, G, Lee, J, Guan, H, Blumenstein, M & Loo, Y-C 2014, 'Development of an Integrated Method for Probabilistic Bridge-Deterioration Modeling', Journal of Performance of Constructed Facilities, vol. 28, no. 2, pp. 330-340.
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Probabilistic deterioration models such as state-based and time-based models are only capable of predicting future bridge-condition ratings when a sufficient amount of condition data and reasonable data distribution are available. However, such are usually difficult to acquire from limited bridge-inspection records. As a result, these probabilistic models cannot guarantee reliable long-term prediction for each of the bridge elements concerned. To minimize this shortcoming, this paper proposes an advanced integrated method to construct workable transition probabilities for predicting long-term bridge performance. A selection process within this method automatically chooses a suitable prediction procedure for a given situation in terms of available inspection data. The backward prediction model (BPM) is also incorporated to effectively predict the bridge performance when sufficient inspection data are unavailable. Four different situations in regard to the available inspection data are predefined in this study to demonstrate the capabilities of the proposed integrated method. The outcomes show that the method can help develop an effective prediction model for various situations in terms of the quantity and distribution of available condition-rating data. © 2014 American Society of Civil Engineers.
Bu, GP, Lee, JH, Guan, H, Loo, YC & Blumenstein, M 2014, 'Implementation of Elman neural networks for enhancing reliability of integrated bridge deterioration model', Australian Journal of Structural Engineering, vol. 15, no. 1, pp. 51-63.
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Probabilistic modelling is one of the most prominent techniques in bridge deterioration forecast. It can be classified into two types, namely, state- and time-based models. Reliability of both modelling techniques in forecasting long-term performance rely heavily on sufficient amount of bridge condition rating data being available together with well-distributed deterioration pattern over the age of bridge. However, it can be problematic when the available condition rating records are insufficient. In order to overcome this problem, an integrated deterioration method incorporating both the state- and time-based models has recently been developed. Despite such development and advancement, certain issues still remain with some cases of given condition data that cannot be used to produce reliable long-term performance curve. Aiming to achieve enhanced prediction performance, an Elman neural networks (ENN) technique is incorporated in the integrated method to replace the third-order polynomial regression function, the latter being the core component for long-term prediction in the state-based model. In the present study, the ENN are able to generate more reliable deterioration patterns than a typical deterministic method. The results demonstrate that the integrated method incorporating ENN are more effective in handling various situations of condition data quantities and distributions for generating long-term performance curves. © Institution of Engineers Australia, 2014.
Bundschuh, J, Yusaf, T, Maity, JP, Nelson, E, Mamat, R & Indra Mahlia, TM 2014, 'Algae-biomass for fuel, electricity and agriculture', Energy, vol. 78, pp. 1-3.
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Burton, GJ, Sheng, D & Airey, D 2014, 'Experimental study on volumetric behaviour of Maryland clay and the role of degree of saturation', Canadian Geotechnical Journal, vol. 51, no. 12, pp. 1449-1455.
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In this paper, the volume change behaviour of Maryland clay compacted on the wet side of standard Proctor optimum water content (with lower compaction energy) is studied in reference to the saturated reconstituted state. Oedometer tests over a range of suctions and vertical stresses have been carried out, and the results have shown that the compression index reaches a peak (approximately twice that of the reconstituted material) and then gradually reduces to the reconstituted value as the stress level is increased. The results are analyzed in a framework where the degree of saturation is treated as a state parameter and controls the slope of the unsaturated normal compression line. Tests conducted under constant suction and constant water content have been used to demonstrate the effectiveness of using the degree of saturation as a state variable.
Burton, GJ, Sheng, D & Campbell, C 2014, 'Bimodal pore size distribution of a high-plasticity compacted clay', Géotechnique Letters, vol. 4, no. 2, pp. 88-93.
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The microstructure of compacted clay plays an important role in its hydraulic and mechanical behaviour. However, little experimental evidence is available for high-plasticity clay compacted on the wet side of the standard Proctor optimum water content. The results of an oedometric and microstructural investigation (mercury intrusion porosimetry) on reconstituted and compacted high-plasticity clay are presented. The microstructural results indicate that a bimodal pore size density function is not limited to clays compacted on the dry side of the standard Proctor optimum. The compacted clay prepared on the wet side can display a bimodal pore size distribution dependent on the level of compaction, current void ratio and degree of saturation. The bimodal distribution of the compacted clay can be lost by compression to high vertical stress accompanied by an increase in the degree of saturation. In this case the compression path ultimately approaches the normal compression line of the reconstituted saturated material. The results demonstrate that the observed behaviour of the compacted clay can be interpreted with reference to the reconstituted clay.
Byrne, D, Cowley, A, Bennett, N & McGlynn, E 2014, 'The luminescent properties of CuAlO2', J. Mater. Chem. C, vol. 2, no. 37, pp. 7859-7868.
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The room temperature Raman, photoluminescence and low temperature photoluminescence properties are examined to give a deeper understanding of CuAlO2.
Cagno, E & Trianni, A 2014, 'Evaluating the barriers to specific industrial energy efficiency measures: an exploratory study in small and medium-sized enterprises', Journal of Cleaner Production, vol. 82, pp. 70-83.
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Cai, B, Huang, S, Liu, D & Dissanayake, G 2014, 'Rescheduling policies for large-scale task allocation of autonomous straddle carriers under uncertainty at automated container terminals', ROBOTICS AND AUTONOMOUS SYSTEMS, vol. 62, no. 4, pp. 506-514.
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This paper investigates replanning strategies for container-transportation task allocation of autonomous Straddle Carriers (SC) at automated container terminals. The strategies address the problem of large-scale scheduling in the context of uncertainty (especially uncertainty associated with unexpected events such as the arrival of a new task). Two rescheduling policies-Rescheduling New arrival Jobs (RNJ) policy and Rescheduling Combination of new and unexecuted Jobs (RCJ) policy-are presented and compared for long-term Autonomous SC Scheduling (ASCS) under the uncertainty of new job arrival. The long-term performance of the two rescheduling policies is evaluated using a multi-objective cost function (i.e., the sum of the costs of SC travelling, SC waiting, and delay of finishing high-priority jobs). This evaluation is conducted based on two different ASCS solving algorithms-an exact algorithm (i.e., branch-and-bound with column generation (BBCG) algorithm) and an approximate algorithm (i.e., auction algorithm)-to get the schedule of each short-term planning for the policy. Based on the map of an actual fully-automated container terminal, simulation and comparative results demonstrate the quality advantage of the RCJ policy compared with the RNJ policy for task allocation of autonomous straddle carriers under uncertainty. Long-term testing results also show that although the auction algorithm is much more efficient than the BBCG algorithm for practical applications, it is not effective enough, even when employed by the superior RCJ policy, to achieve high-quality scheduling of autonomous SCs at the container terminals. © 2013 Elsevier B.V. All rights reserved.
Cai, G, Zhou, A & Sheng, D 2014, 'Permeability function for unsaturated soils with different initial densities', Canadian Geotechnical Journal, vol. 51, no. 12, pp. 1456-1467.
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This study proposes an approach to simulate the effects of initial density on the relative coefficient of permeability for unsaturated soils. The density-dependent permeability function is derived based on (i) an incremental relationship between the degree of saturation and the initial void ratio with various suctions and (ii) the relationship between the permeability function and the soil-water retention curve (SWRC). Only one additional parameter is required in the proposed function, which can be calibrated using a conventional SWRC test. A number of test results in the literature are employed to validate the proposed density-dependent permeability function, and the model predictions indicate good agreement with the experimental data in the literature.
Cai, GQ, Sheng, DC & Zhou, AN 2014, 'Approach for predicting the relative coefficient of permeability of unsaturated soils with different initial void ratios', Yantu Gongcheng Xuebao/Chinese Journal of Geotechnical Engineering, vol. 36, no. 5, pp. 827-835.
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A simple approach is proposed to quantify the effect of the initial void ratio on the relative coefficient of permeability for unsaturated soils based on the incremental relationship between the degree of saturation and the initial void ratio and the prediction of the permeability function for unsaturated soils by use of the soil-water characteristic curve (SWCC). For a given soil and the SWCC equation, only one additional parameter is introduced, which can be conveniently calibrated by the conventional SWCC tests. The relative coefficient of permeability for the same soil with different initial void ratios can be predicted by this approach. The proposed approach is validated through experimental data from the literatures in which both the SWCCs and the coefficients of permeability with different initial void ratios are measured.
Cai, G-Q, Zhao, C-G, Sheng, D-C & Zhou, A-N 2014, 'Formulation of thermo-hydro-mechanical coupling behavior of unsaturated soils based on hybrid mixture theory', Acta Mechanica Sinica, vol. 30, no. 4, pp. 559-568.
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Cao, L 2014, 'Non-IIDness Learning in Behavioral and Social Data', The Computer Journal, vol. 57, no. 9, pp. 1358-1370.
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Most of the classic theoretical systems and tools in statistics, data mining and machine learning are built on the fundamental assumption of IIDness, which assumes the independence and identical distribution of underlying objects, attributes and/or values. However, complex behavioral and social problems often exhibit strong couplings and heterogeneity between values, attributes and objects (i.e., non-IIDness). This fundamentally challenges the IIDness-based learning methodologies and techniques. This paper presents a high-level overview of the needs, challenges and opportunities of non-IIDness learning for handling complex behavioral and social problems. By reviewing the nature and issues of classic IIDness-based algorithms in frequent pattern mining, clustering and classification to complex behavioral and social applications, concepts, structures, frameworks and exemplar techniques are discussed for non-IIDness learning. Case studies, relatedwork and prospects of non-IIDness learning are presented. Non-IIDness learning is also a fundamental issue in big data analytics. © The British Computer Society 2013.
Cao, L & Joachims, T 2014, 'Behavior Computing', IEEE Intelligent Systems, vol. 29, no. 4, pp. 62-66.
Cao, L, Joachims, T, Wang, C, Gaussier, E, Li, J, Ou, Y, Luo, D, Zafarani, R, Liu, H, Xu, G, Wu, Z, Pasi, G, Zhang, Y, Yang, X, Zha, H, Serra, E & Subrahmanian, VS 2014, 'Behavior Informatics: A New Perspective', IEEE Intelligent Systems, vol. 29, no. 4, pp. 62-80.
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© 2001-2011 IEEE. This installment of Trends & Controversies provides an array of perspectives on the latest research in behavior informatics. Longbing Cao introduces the work in 'Behavior Informatics: A New Perspective.' Then, in 'Behavior Computing,' Longbing Cao and Thorsten Joachims provide a basic overview of the topic. Next is 'Coupled Behavior Representation, Modeling, Analysis, and Reasoning' by Can Wang, Longbing Cao, Eric Gaussier, Jinjiu Li, Yuming Ou, and Dan Luo. The fourth article is 'Behavior Analysis in Social Media,' by Reza Zafarani and Huan Liu. The fifth article is 'Group Recommendation and Behavior,' by Guandong Xu and Zhiang Wu. Gabriella Pasi wrote the sixth article, 'Web Search and Behavior.' The seventh article, 'Behaviors of IPTV Users,' is by Ya Zhang, Xiaokang Yang, and Hongyuan Zha. Finally, 'Should Behavioral Models of Terror Groups Be Disclosed?' is by Edoardo Serra and V.S. Subrahmanian.
Carter, DR, Buckle, AD, Tanaka, K, Perdomo, J & Chong, BH 2014, 'Art27 Interacts with GATA4, FOG2 and NKX2.5 and Is a Novel Co-Repressor of Cardiac Genes', PLoS ONE, vol. 9, no. 4, pp. e95253-e95253.
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Cassidy, MJ, Gaudin, C, Bates, L, Indraratna, B, Nimbalkar, S, O'Loughlin, CD, White, DJ & Sloan, SW 2014, 'Advancing Australia's facilities for physical modelling in geotechnics', Australian Geomechanics Journal, vol. 49, no. 4, pp. 3-12.
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This paper presents details of the advancements of the Australian Research Council Centre of Excellence for Geotechnical Science and Engineering to the apparatus, facilities and methods for physical modelling in geotechnics. This advancement includes (i) the launch of a National Geotechnical Centrifuge Facility with a new 10 m diameter fixed beam centrifuge that will be capable of spinning 2.4 tonnes of soil at 100 gravities, (ii) a new mobile soft soil in situ testing laboratory, (iii) a new national facility for the cyclic testing of high-speed rail and (iv) three recirculating flumes, called O-tubes, which are presented in another paper of this special issue. This paper provides an overview of this new equipment and the aims of the research that it will underpin. The equipment will provide enhanced possibilities for Australia to conduct project specific testing for future energy and transportation infrastructure developments, nationally and internationally.
Castel, A & Gilbert, RI 2014, 'Influence of time‐dependent effects on the crack spacing in reinforced concrete beams', Structural Concrete, vol. 15, no. 3, pp. 373-379.
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AbstractThis paper aims to put into perspective the influence of long‐term effects, such as concrete creep and shrinkage, on concrete cracking. Long‐term experimental results obtained at the Centre for Infrastructure Engineering & Safety (CIES) are reported and compared to design estimates made using the fib Model Code for Concrete Structures 2010. The influence of factors such as stirrup spacing and concrete cover are discussed. Results show that time‐dependent shrinkage‐induced cracking can considerably modify the cracking patterns obtained in short‐term tests. For crack control in real structures and for the development of models for inclusion in codes of practice, it is strongly recommended that account be taken of time‐dependent effects. Limiting observations to those made in short‐term tests may lead to erroneous conclusions that are simply not applicable for structures that are more than a few weeks old.
Castel, A & Nasser, A 2014, 'Microcell versus galvanic corrosion currents in carbonated concrete', Magazine of Concrete Research, vol. 66, no. 14, pp. 697-707.
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This paper presents specific experiments developed to assess galvanic corrosion currents in carbonated concrete. The work investigated the influence of both the steel–concrete interface condition and the cathodic to anodic surface ratio. Galvanic corrosion currents were compared with microcell corrosion currents. In the quasi-saturated condition, galvanic corrosion currents were systematically found to be much higher than microcell corrosion currents. Moreover, the presence of defects at the interface between the anodic steel surface and concrete leads to a significant increase in the macrocell driving potential and, therefore, in the galvanic corrosion current. Furthermore, the galvanic current density strongly increased with increasing cathodic to anodic surface ratio. The coupling of a high cathodic to anodic surface ratio and the presence of steel–concrete interface defects at the anodic surface leads to huge galvanic corrosion current densities.
Castel, A, Gilbert, RI & Ranzi, G 2014, 'Instantaneous Stiffness of Cracked Reinforced Concrete Including Steel-Concrete Interface Damage and Long-Term Effects', Journal of Structural Engineering, vol. 140, no. 6, pp. 04014021-04014021.
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Castel, A, Gilbert, RI, Ranzi, G & Foster, S 2014, 'A non-linear steel-concrete interface damage model for reinforced concrete after cracking', Australian Journal of Structural Engineering, vol. 15, no. 2, pp. 221-230.
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© Institution of Engineers Australia, 2014. In reinforced concrete construction, deflection control is an important performance criterion for its serviceability and sustainability. In this paper, a finite element model dedicated to the calculation of the overall stiffness of reinforced concrete beams is extended in order to take into account steel-concrete interface damage due to excessive live loading resulting from cover-controlled cracking. The effect of cover-controlled cracking is taken into account by implementing a damage variable to reduce the bond at the steel-concrete interface. In addition, a criterion for the initiation of cover-control cracks based on a peak value of the steel stress at the crack location is also defined.
Castel, A, Gilbert, RI, Ranzi, G & Foster, S 2014, 'A non-linear steel-concrete interface damage model for reinforced concrete after cracking', AUSTRALIAN JOURNAL OF STRUCTURAL ENGINEERING, vol. 15, no. 2, pp. 221-229.
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Cetindamar, D 2014, 'Understanding the Turkish biotechnology system through the functions of an innovation system', International Journal of Biotechnology, vol. 13, no. 1/2/3, pp. 105-105.
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The paper empirically examines biotechnology innovation system in order to present the concerns of developing countries. Through mapping innovation processes/functions over time, it is possible to develop insights of the dynamics of innovation systems. This mapping is carried out for the Turkish biotechnology system, and the findings are summarised. © 2014 Inderscience Enterprises Ltd.
Chacon, D, Beck, D, Perera, D, Wong, JWH & Pimanda, JE 2014, 'BloodChIP: a database of comparative genome-wide transcription factor binding profiles in human blood cells', Nucleic Acids Research, vol. 42, no. D1, pp. D172-D177.
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The BloodChIP database (http://www.med.unsw.edu.au/CRCWeb.nsf/page/ BloodChIP) supports exploration and visualization of combinatorial transcription factor (TF) binding at a particular locus in human CD34-positive and other normal and leukaemic cells or retrieval of target gene sets for user-defined combinations of TFs across one or more cell types. Increasing numbers of genome-wide TF binding profiles are being added to public repositories, and this trend is likely to continue. For the power of these data sets to be fully harnessed by experimental scientists, there is a need for these data to be placed in context and easily accessible for downstream applications. To this end, we have built a user-friendly database that has at its core the genome-wide binding profiles of seven key haematopoietic TFs in human stem/progenitor cells. These binding profiles are compared with binding profiles in normal differentiated and leukaemic cells. We have integrated these TF binding profiles with chromatin marks and expression data in normal and leukaemic cell fractions. All queries can be exported into external sites to construct TF-gene and protein-protein networks and to evaluate the association of genes with cellular processes and tissue expression. © 2013 The Author(s). Published by Oxford University Press.
Chai, R, Ling, SH, Hunter, GP, Tran, Y & Nguyen, HT 2014, 'Brain-Computer Interface Classifier for Wheelchair Commands Using Neural Network With Fuzzy Particle Swarm Optimization', IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, vol. 18, no. 5, pp. 1614-1624.
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© 2013 IEEE. This paper presents the classification of a three-class mental task-based brain-computer interface (BCI) that uses the Hilbert-Huang transform for the features extractor and fuzzy particle swarm optimization with cross-mutated-based artificial neural network (FPSOCM-ANN) for the classifier. The experiments were conducted on five able-bodied subjects and five patients with tetraplegia using electroencephalography signals from six channels, and different time-windows of data were examined to find the highest accuracy. For practical purposes, the best two channel combinations were chosen and presented. The three relevant mental tasks used for the BCI were letter composing, arithmetic, and Rubik's cube rolling forward, and these are associated with three wheelchair commands: left, right, and forward, respectively. An additional eyes closed task was collected for testing and used for on-off commands. The results show a dominant alpha wave during eyes closure with average classification accuracy above 90%. The accuracies for patients with tetraplegia were lower compared to the able-bodied subjects; however, this was improved by increasing the duration of the time-windows. The FPSOCM-ANN provides improved accuracies compared to genetic algorithm-based artificial neural network (GA-ANN) for three mental tasks-based BCI classifications with the best classification accuracy achieved for a 7-s time-window: 84.4% (FPSOCM-ANN) compared to 77.4% (GA-ANN). More comparisons on feature extractors and classifiers were included. For two-channel classification, the best two channels were O1 and C4, followed by second best at P3 and O2, and third best at C3 and O2. Mental arithmetic was the most correctly classified task, followed by mental Rubik's cube rolling forward and mental letter composing.
Chakravadhanula, M, Ozols, VV, Hampton, CN, Zhou, L, Catchpoole, D & Bhardwaj, RD 2014, 'Expression of the HOX genes and HOTAIR in atypical teratoid rhabdoid tumors and other pediatric brain tumors', Cancer Genetics, vol. 207, no. 9, pp. 425-428.
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Pediatric brain tumors such as atypical teratoid rhabdoid tumors (ATRTs) are highly aggressive and predominantly occur in young children. A characteristic feature of ATRT is aberrations of the SMARCB1 (hSNF5/INI1) gene. Developmental gene defects may play an important role in the biology of pediatric brain tumors. HOX genes are transcription factors that play a pivotal role in anterior-posterior body axis patterning and are misexpressed in tumors such as lung carcinoma, neuroblastoma, and glioma. HOX genes are also known to be associated with long noncoding RNAs (lncRNAs) such as HOTAIR, which induces transcriptional silencing of the HOXD locus by recruiting polycomb repressive complex 2 to the HOXD locus. In this study, transcriptome analysis using the nanoString platform was performed, and expression of the HOX and HOTAIR genes was studied in pediatric tumors: 20 ATRTs, 10 ependymomas, 10 medulloblastomas, six glioblastoma multiforme, and nine juvenile pilocytic astrocytomas (JPAs). Results indicate that in ATRTs, medulloblastomas, and JPAs, the HOTAIR and HOXC genes are highly expressed; however, HOXD8-10 genes are not silenced. In ependymomas, there is low expression of the HOXC, HOTAIR, and HOXD8-10 genes. These interesting results need to be elucidated further so that the functions of these genes in pediatric tumors is understood.
Challis, VJ, Xu, X, Zhang, LC, Roberts, AP, Grotowski, JF & Sercombe, TB 2014, 'High specific strength and stiffness structures produced using selective laser melting', Materials & Design, vol. 63, pp. 783-788.
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Selective Laser Melting (SLM) was used to fabricate scaffolds using the titanium alloy Ti-6Al-4V. Two types of high porosity open-cell structures were manufactured: the first built from topology optimised designs with maximised stiffness, and the second from gyroid labyrinths. In mechanical compression tests the scaffolds demonstrate exceptional strength- and stiffness-to-weight ratios. In particular, for densities in the range 0.2-0.8g/cm3 the topology optimised scaffolds have specific strength and stiffness that are superior to those of comparable materials in the literature. In addition, the optimised scaffolds have the benefit of being elastically isotropic. The results of finite element calculations accurately match the measured stiffness of the scaffolds. Calculated strain energy distributions provide insight into how the high stiffness and strength of the optimised designs is connected to their efficient distribution of load.
Chamoli, U, Chen, AS & Diwan, AD 2014, 'Interpedicular kinematics in an in vitro biomechanical assessment of a bilateral lumbar spondylolytic defect', Clinical Biomechanics, vol. 29, no. 10, pp. 1108-1115.
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Chamoli, U, Chen, AS & Diwan, AD 2014, 'Letters', Spine, vol. 39, no. 11, pp. 921-921.
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Chamoli, U, Diwan, AD & Tsafnat, N 2014, 'Pedicle screw‐based posterior dynamic stabilizers for degenerative spine: In vitro biomechanical testing and clinical outcomes', Journal of Biomedical Materials Research Part A, vol. 102, no. 9, pp. 3324-3340.
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AbstractDynamic stabilization in a degenerate symptomatic spine may be advantageous compared with conventional fusion procedures, as it helps preserve motion and minimizes redistribution of loads at instrumented and adjacent segments. This article presents a systematic review of biomechanical and clinical evidence available on some of the pedicle screw based posterior dynamic stabilization (PDS) devices. Using Medline, Embase, and Scopus online databases, we identified four pedicle‐screw‐PDS devices for which both, biomechanical testing and clinical follow‐up data are available: Graf artificial ligaments, Isobar TTL, Polyetheretherketone rods, and Dynesys. The current state‐of‐the‐art of pedicle‐screw‐PDS devices is far from achieving its desired biomechanical efficacy, which has resulted in a weak support for the posited clinical benefits. Although pedicle‐screw‐PDS devices are useful in salvaging a moderately degenerate functionally suboptimal disc, for severe disc degeneration cases fusion is still the preferred choice. We conclude that a pedicle‐screw‐PDS device should aim at restoring load sharing amongst spinal elements while preserving the qualitative and quantitative nature of spinal motion, especially minimize posterior shift of the helical axis of motion. More precise and objective assessment techniques need to be standardized for in vivo evaluation of intervertebral motion and load sharing amongst spinal elements across different pedicle‐screw‐PDS devices. © 2013 Wiley Periodicals, Inc. J Biomed Mater Res Part A: 102A: 3324–3340, 2014.
Chan, KY, Ramer, R, Mansour, RR & Guo, YJ 2014, '60 GHz to E-Band Switchable Bandpass Filter', IEEE Microwave and Wireless Components Letters, vol. 24, no. 8, pp. 545-547.
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A novel reconfigurable millimeter-wave bandpass filter (BPF) capable of operating between 60 GHz and the E-band, with a good channel isolation, is presented. This fully integrated filter is designed with all reconfigurable elements embedded for compactness. A new method that increases fractional bandwidths is introduced. It uses inductively coupled invertersbut does not require tuning. New circuit models are provided for these inverters, reconfigurable resonators, and the reconfigurable bandstop stubs. The compact BPF achieved a footprint of only 4.75 mm × 3.75 mm. Measurements for the filters show good agreement with the simulation results. © 2014 IEEE.
Chan, MY, Center, JR, Eisman, JA & Nguyen, TV 2014, 'Bone mineral density and association of osteoarthritis with fracture risk', Osteoarthritis and Cartilage, vol. 22, no. 9, pp. 1251-1258.
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Chan, MY, Frost, SA, Center, JR, Eisman, JA & Nguyen, TV 2014, 'Relationship Between Body Mass Index and Fracture Risk Is Mediated by Bone Mineral Density', Journal of Bone and Mineral Research, vol. 29, no. 11, pp. 2327-2335.
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ABSTRACT The relationship between body mass index (BMI) and fracture risk is controversial. We sought to investigate the effect of collinearity between BMI and bone mineral density (BMD) on fracture risk, and to estimate the direct and indirect effect of BMI on fracture with BMD being the mediator. The study involved 2199 women and 1351 men aged 60 years or older. BMI was derived from baseline weight and height. Femoral neck BMD was measured by dual-energy X-ray absorptiometry (DXA; GE-LUNAR, Madison, WI, USA). The incidence of fragility fracture was ascertained by X-ray reports from 1991 through 2012. Causal mediation analysis was used to assess the mediated effect of BMD on the BMI-fracture relationship. Overall, 774 women (35% of total women) and 258 men (19%) had sustained a fracture. Approximately 21% of women and 20% of men were considered obese (BMI ≥ 30). In univariate analysis, greater BMI was associated with reduced fracture risk in women (hazard ratio [HR] 0.92; 95% confidence interval [CI], 0.85 to 0.99) and in men (HR 0.77; 95% CI, 0.67 to 0.88). After adjusting for femoral neck BMD, higher BMI was associated with greater risk of fracture in women (HR 1.21; 95% CI, 1.11 to 1.31) but not in men (HR 0.96; 95% CI, 0.83 to 1.11). Collinearity had minimal impact on the BMD-adjusted results (variance inflation factor [VIF] = 1.2 for men and women). However, in mediation analysis, it was found that the majority of BMI effect on fracture risk was mediated by femoral neck BMD. The overall mediated effect estimates were −0.048 (95% CI, −0.059 to −0.036; p < 0.001) in women and −0.030 (95% CI, −0.042 to −0.018; p < 0.001) in men. These analyses suggest that there is no significant direct effect of BMI on fracture, and that the observed association between BMI and fracture risk is mediated by femoral neck BMD in both m...
Chanan, A, Vigneswaran, V, Kandasamy, J & Singh, G 2014, 'Beverley Park water reuse plant: getting the salt just right', Desalination and Water Treatment, vol. 52, no. 25-27, pp. 4656-4663.
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The extraction type wastewater recycling systems are those where wastewater is taken from the collection system en route to the central treatment plant. This paper discusses a case study of Sydneys first ever extraction type scheme, the Beverley Park water reuse scheme. Primary applications of recycled water from this case study site include: parks and ovals, green-belt and golf course irrigation. Given the plants location on a major interceptor sewer along Kogarah Bay, tidal influx posed a significant challenge due to high salt levels. Salt sensitive grass on golf course greens meant that treated water had to meet stringent quality requirements with regards to salt. The design involved modelling the process of diurnal fluctuations in salt levels and to provide an optimised process design. A non-membrane, design based solution was also chosen to resolve this high salinity challenge. This Case Study highlights the significant challenges in planning, design and commissioning of water reuse plant intercepting sewer carriers prone to salt water intrusion. The study provides valuable knowledge that will assist in providing viable extraction type water reuse schemes for tidal impacted areas.
Chang, X & Yang, Y 2014, 'Semi-supervised Feature Analysis by Mining Correlations among Multiple Tasks', IEEE Transactions on Neural Networks and Learning Systems, vol. 28, no. 10, pp. 2294-2305.
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In this paper, we propose a novel semi-supervised feature selection frameworkby mining correlations among multiple tasks and apply it to differentmultimedia applications. Instead of independently computing the importance offeatures for each task, our algorithm leverages shared knowledge from multiplerelated tasks, thus, improving the performance of feature selection. Note thatwe build our algorithm on assumption that different tasks share commonstructures. The proposed algorithm selects features in a batch mode, by whichthe correlations between different features are taken into consideration.Besides, considering the fact that labeling a large amount of training data inreal world is both time-consuming and tedious, we adopt manifold learning whichexploits both labeled and unlabeled training data for feature space analysis.Since the objective function is non-smooth and difficult to solve, we proposean iterative algorithm with fast convergence. Extensive experiments ondifferent applications demonstrate that our algorithm outperforms otherstate-of-the-art feature selection algorithms.
Chang, X, Nie, F, Wang, S, Yang, Y, Zhou, X & Zhang, C 2014, 'Compound Rank-k Projections for Bilinear Analysis', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 7, pp. 1502-1513.
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In many real-world applications, data are represented by matrices orhigh-order tensors. Despite the promising performance, the existingtwo-dimensional discriminant analysis algorithms employ a single projectionmodel to exploit the discriminant information for projection, making the modelless flexible. In this paper, we propose a novel Compound Rank-k Projection(CRP) algorithm for bilinear analysis. CRP deals with matrices directly withouttransforming them into vectors, and it therefore preserves the correlationswithin the matrix and decreases the computation complexity. Different from theexisting two dimensional discriminant analysis algorithms, objective functionvalues of CRP increase monotonically.In addition, CRP utilizes multiple rank-kprojection models to enable a larger search space in which the optimal solutioncan be found. In this way, the discriminant ability is enhanced.
Chang, X, Nie, F, Yang, Y & Huang, H 2014, 'A Convex Sparse PCA for Feature Analysis', ACM Transactions on Knowledge Discovery from Data, vol. 11, no. 1, pp. 1-16.
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Principal component analysis (PCA) has been widely applied to dimensionalityreduction and data pre-processing for different applications in engineering,biology and social science. Classical PCA and its variants seek for linearprojections of the original variables to obtain a low dimensional featurerepresentation with maximal variance. One limitation is that it is verydifficult to interpret the results of PCA. In addition, the classical PCA isvulnerable to certain noisy data. In this paper, we propose a convex sparseprincipal component analysis (CSPCA) algorithm and apply it to featureanalysis. First we show that PCA can be formulated as a low-rank regressionoptimization problem. Based on the discussion, the l 2 , 1 -norm minimizationis incorporated into the objective function to make the regression coefficientssparse, thereby robust to the outliers. In addition, based on the sparse modelused in CSPCA, an optimal weight is assigned to each of the original feature,which in turn provides the output with good interpretability. With the outputof our CSPCA, we can effectively analyze the importance of each feature underthe PCA criteria. The objective function is convex, and we propose an iterativealgorithm to optimize it. We apply the CSPCA algorithm to feature selection andconduct extensive experiments on six different benchmark datasets. Experimentalresults demonstrate that the proposed algorithm outperforms state-of-the-artunsupervised feature selection algorithms.
Che, E & Tuan, HD 2014, 'Sum-Rate Based Coordinated Beamforming in Multicell Multi-Antenna Wireless Networks', IEEE COMMUNICATIONS LETTERS, vol. 18, no. 6, pp. 1019-1022.
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Che, E, Tuan, HD & Nguyen, HH 2014, 'Joint Optimization of Cooperative Beamforming and Relay Assignment in Multi-User Wireless Relay Networks', IEEE Transactions on Wireless Communications, vol. 13, no. 10, pp. 5481-5495.
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Chekli, L, Phuntsho, S, Tijing, LD, Zhou, JL, Kim, J-H & Shon, HK 2014, 'Stability of Fe-oxide nanoparticles coated with natural organic matter under relevant environmental conditions', WATER SCIENCE AND TECHNOLOGY, vol. 70, no. 12, pp. 2040-2046.
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© IWA Publishing 2014 Manufactured nanoparticles (MNPs) are increasingly released into the environment and thus research on their fate and behaviour in complex environmental samples is urgently needed. The fate of MNPs in the aquatic environment will mainly depend on the physico-chemical characteristics of the medium. The presence and concentration of natural organic matter (NOM) will play a significant role on the stability of MNPs by either decreasing or exacerbating the aggregation phenomenon. In this study, we firstly investigated the effect of NOM concentration on the aggregation behaviour of manufactured Fe-oxide nanoparticles. Then, the stability of the coated nanoparticles was assessed under relevant environmental conditions. Flow field-flow fractionation, an emerging method which is gaining popularity in the field of nanotechnology, has been employed and results have been compared to another size-measurement technique to provide increased confidence in the outcomes. Results showed enhanced stability when the nanoparticles are coated with NOM, which was due to electrosteric stabilisation. However, the presence of divalent cations, even at low concentration (i.e. less than 1 mM) was found to induce aggregation of NOM-coated nanoparticles via bridging mechanisms between NOM and Ca2+.
Chen, J, Ji, Z, Li, C-K, Poon, Y-T, Shen, Y, Yu, N, Zeng, B & Zhou, D 2014, 'Discontinuity of Maximum Entropy Inference and Quantum Phase Transitions', New J. Phys., vol. 17, no. 8, pp. 083019-19.
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In this paper, we discuss the connection between two genuinely quantumphenomena --- the discontinuity of quantum maximum entropy inference andquantum phase transitions at zero temperature. It is shown that thediscontinuity of the maximum entropy inference of local observable measurementssignals the non-local type of transitions, where local density matrices of theground state change smoothly at the transition point. We then propose to usethe quantum conditional mutual information of the ground state as an indicatorto detect the discontinuity and the non-local type of quantum phase transitionsin the thermodynamic limit.
Chen, K & Zhou, JL 2014, 'Occurrence and behavior of antibiotics in water and sediments from the Huangpu River, Shanghai, China', Chemosphere, vol. 95, pp. 604-612.
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Chen, M, Willgoose, GR & Saco, PM 2014, 'Spatial prediction of temporal soil moisture dynamics using HYDRUS-1D', Hydrological Processes, vol. 28, no. 2, pp. 171-185.
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Chen, Q, Indraratna, B, Carter, J & Rujikiatkamjorn, C 2014, 'A theoretical and experimental study on the behaviour of lignosulfonate-treated sandy silt', Computers and Geotechnics, vol. 61, pp. 316-327.
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Chen, X, Guo, J, Shi, Y, Hu, S, Yuan, Z & Ni, B-J 2014, 'Modeling of Simultaneous Anaerobic Methane and Ammonium Oxidation in a Membrane Biofilm Reactor', Environmental Science & Technology, vol. 48, no. 16, pp. 9540-9547.
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Nitrogen removal by using the synergy of denitrifying anaerobic methane oxidation (DAMO) and anaerobic ammonium oxidation (Anammox) microorganisms in a membrane biofilm reactor (MBfR) has previously been demonstrated experimentally. In this work, a mathematical model is developed to describe the simultaneous anaerobic methane and ammonium oxidation by DAMO and Anammox microorganisms in an MBfR for the first time. In this model, DAMO archaea convert nitrate, both externally fed and/or produced by Anammox, to nitrite, with methane as the electron donor. Anammox and DAMO bacteria jointly remove the nitrite fed/produced, with ammonium and methane as the electron donor, respectively. The model is successfully calibrated and validated using the long-term (over 400 days) dynamic experimental data from the MBfR, as well as two independent batch tests at different operational stages of the MBfR. The model satisfactorily describes the methane oxidation and nitrogen conversion data from the system. Modeling results show the concentration gradients of methane and nitrogen would cause stratification of the biofilm, where Anammox bacteria mainly grow in the biofilm layer close to the bulk liquid and DAMO organisms attach close to the membrane surface. The low surface methane loadings result in a low fraction of DAMO microorganisms, but the high surface methane loadings would lead to overgrowth of DAMO bacteria, which would compete with Anammox for nitrite and decrease the fraction of Anammox bacteria. The results suggest an optimal methane supply under the given condition should be applied not only to benefit the nitrogen removal but also to avoid potential methane emissions.
Chen, X, Liu, L, Luo, D, Xu, G, Lu, Y, Liu, M & Gao, R 2014, 'A Spectral Clustering Algorithm Based on Hierarchical Method', pp. 111-123.
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Most of the clustering algorithms were designed to cluster the data in convex spherical sample space, but their ability was poor for clustering more complex structures. In the past few years, several spectral clustering algorithms were proposed to cluster arbitrarily shaped data in various real applications including image processing and web analysis. However, most of these algorithms were based on k-means, which is a randomized algorithm and makes the algorithm easy to fall into local optimal solutions. Hierarchical method could handle the local optimum well because it organizes data into different groups at different levels. In this paper, we propose a novel clustering algorithm called spectral clustering algorithm based on hierarchical clustering (SCHC), which combines the advantages of hierarchical clustering and spectral clustering algorithms to avoid the local optimum issues. The experiments on both synthetic data sets and real data sets show that SCHC outperforms other six popular clustering algorithms. The method is simple but is shown to be efficient in clustering both convex shaped data and arbitrarily shaped data.
Chen, X, Liu, Y, Alexander, A, Gallucci, JC, Hwang, S, Lingam, HK, Huang, Z, Wang, C, Li, H, Zhao, Q, Ozkan, US, Shore, SG & Zhao, J 2014, 'Desolvation and Dehydrogenation of Solvated Magnesium Salts of Dodecahydrododecaborate: Relationship between Structure and Thermal Decomposition', Chemistry – A European Journal, vol. 20, no. 24, pp. 7325-7333.
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AbstractAttempts to synthesize solvent‐free MgB12H12 by heating various solvated forms (H2O, NH3, and CH3OH) of the salt failed because of the competition between desolvation and dehydrogenation. This competition has been studied by thermogravimetric analysis (TGA) and temperature‐programmed desorption (TPD). Products were characterized by IR, solution‐ and solid‐state NMR spectroscopy, elemental analysis, and single‐crystal or powder X‐ray diffraction analysis. For hydrated salts, thermal decomposition proceeded in three stages, loss of water to form first hexahydrated then trihydrated, and finally loss of water and hydrogen to form polyhydroxylated complexes. For partially ammoniated salts, two stages of thermal decomposition were observed as ammonia and hydrogen were released with weight loss first of 14 % and then 5.5 %. Thermal decomposition of methanolated salts proceeded through a single step with a total weight loss of 32 % with the release of methanol, methane, and hydrogen. All the gaseous products of thermal decomposition were characterized by using mass spectrometry. Residual solid materials were characterized by solid‐state 11B magic‐angle spinning (MAS) NMR spectroscopy and X‐ray powder diffraction analysis by which the molecular structures of hexahydrated and trihydrated complexes were solved. Both hydrogen and dihydrogen bonds were observed in structures of [Mg(H2O)6B12H12]⋅6 H2O and [Mg(CH3OH)6B12H12]⋅6 CH3OH, which were determined by single‐crystal X‐ray diffraction analysis. The structural factors influen...
Chen, XY, Jin, JX, Ying Xin, Guo, YG, Wei Xu, Wen, L & Zhu, JG 2014, 'Energy Exchange Experiments and Performance Evaluations Using an Equivalent Method for a SMES Prototype', IEEE Transactions on Applied Superconductivity, vol. 24, no. 5, pp. 1-5.
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Chen, Z, Ngo, HH, Guo, W, Lim, R, Wang, XC, O'Halloran, K, Listowski, A, Corby, N & Miechel, C 2014, 'A comprehensive framework for the assessment of new end uses in recycled water schemes', SCIENCE OF THE TOTAL ENVIRONMENT, vol. 470, pp. 44-52.
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Nowadays, recycled water has provided sufficient flexibility to satisfy short-term freshwater needs and increase the reliability of long-term water supplies in many water scarce areas, which becomes an essential component of integrated water resources management. However, the current applications of recycled water are still quite limited that are mainly associated with non-potable purposes such as irrigation, industrial uses, toilet flushing and car washing. There is a large potential to exploit and develop new end uses of recycled water in both urban and rural areas. This can greatly contribute to freshwater savings, wastewater reduction and water sustainability. Consequently, the paper identified the potentials for the development of three recycled water new end uses, household laundry, livestock feeding and servicing, and swimming pool, in future water use market. To validate the strengths of these new applications, a conceptual decision analytic framework was proposed. This can be able to facilitate the optional management strategy selection process and thereafter provide guidance on the future end use studies within a larger context of the community, processes, and models in decision-making. Moreover, as complex evaluation criteria were selected and taken into account to narrow down the multiple management alternatives, the methodology can successfully add transparency, objectivity and comprehensiveness to the assessment. Meanwhile, the proposed approach could also allow flexibility to adapt to particular circumstances of each case under study. © 2013 Elsevier B.V.
Chen, Z, Ngo, HH, Guo, W, Pham, TTN, Lim, R, Wang, XC, Miechel, C, O' Halloran, K, Listowski, A & Corby, N 2014, 'A new optional recycled water pre-treatment system prior to use in the household laundry', SCIENCE OF THE TOTAL ENVIRONMENT, vol. 476, pp. 513-521.
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With a constantly growing population, water scarcity becomes the limiting factor for further social and economic growth. To achieve a partial reduction in current freshwater demands and lessen the environmental loadings, an increasing trend in the water market tends to adopt recycled water for household laundries as a new recycled water application. The installation of a small pre-treatment unit for water purification can not only further improve the recycled water quality, but also be viable to enhance the public confidence and acceptance level on recycled water consumption. Specifically, this paper describes column experiments conducted using a 550. mm length bed of zeolite media as a one-dimensional flow reactor. The results show that the zeolite filter system could be a simple low-cost pre-treatment option which is able to significantly reduce the total hardness level of recycled water via effective ion exchange. Additionally, depending on the quality of recycled water required by end users, a new by-pass controller using a three-level operation switching mechanism is introduced. This approach provides householders sufficient flexibility to respond to different levels of desired recycled water quality and increase the reliability of long-term system operation. These findings could be beneficial to the smooth implementation of new end uses and expansion of the potential recycled water market. The information could also offer sound suggestions for future research on sustainable water management and governance. © 2014 Elsevier B.V.
Cheng, P, Chen, Z, Rui, Y, Guo, YJ & Guizani, M 2014, 'Limited Feedback Unitary Precoding for MIMO Full Stream Transmission', IEEE Transactions on Vehicular Technology, vol. 63, no. 8, pp. 4092-4096.
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© 2014 IEEE. Limited feedback precoding (LFP) significantly improves multiple-input-multiple-output (MIMO) spatial multiplexing link reliability with a small amount of feedback from the receiver back to the transmitter. One of the key problems with LFP is how to select an optimal precoder from a predetermined unitary codebook. We find that the conventional precoder selection criteria are not applicable to the full stream transmission mode with linear [zero forcing (ZF) and minimum mean square error (MMSE)] receivers. To solve this issue, a novel singular value decomposition (SVD)-based precoder selection criterion optimizing the bit error rate (BER) performance is proposed in this paper. The proposed criterion features a unified structure for both linear receivers and it can be calculated based on fast matrix computation algorithms. Its effectiveness in the full stream transmission mode is verified by simulation results.
Cheng, X, Jiang, Z & Wei, D 2014, 'Effects of oxide scale on hot rolling of an austenitic stainless steel', International Journal of Surface Science and Engineering, vol. 8, no. 2/3, pp. 173-173.
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Cheng, X, Jiang, Z, Wei, D, Zhao, J, Monaghan, BJ, Longbottom, RJ & Jiang, L 2014, 'Characteristics of oxide scale formed on ferritic stainless steels in simulated reheating atmosphere', Surface and Coatings Technology, vol. 258, pp. 257-267.
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© 2014 Elsevier B.V. The aim of this study is to optimise the stainless steel oxidation behaviours during hot rolling. The high temperature oxidation behaviours of ferritic stainless steels B443NT and B445J1M were studied over the temperature range from 1000 to 1150°C in a humid atmosphere containing 18% water vapour, as measured by a thermogravimetric analyser (TGA). The results indicate that breakaway oxidation occurs at 1090°C for the B443NT steel, which is 60°C lower than that for the B445J1M steel. The occurrence of iron oxide nodules on the steels marks the onset of breakaway oxidation; however, the breakaway oxidation phenomenon of B445J1M is different from that of B443NT due to a compact and continuous Mn-Cr spinel which is formed on the surface of B445J1M. The oxide nodules with regenerated Cr 2 O 3 scale underneath the Fe-Cr spinel display better adhesion without showing pores at the metal-scale interface.
Cheng, XW, Jiang, ZY, Luo, GZ, Wei, DB & Hao, L 2014, 'Study on Oxidation Behavior of Stainless Steels in Short Time', Applied Mechanics and Materials, vol. 633-634, pp. 209-214.
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The various chemical compositions of stainless steels can result in complication of the formation of oxide scales in hot rolling process. The time for formation of tertiary oxide scale during finishing rolling is short. In the present study, the oxidation tests with short time period were carried out on eight stainless steel grades by Gleeble 3500 thermal mechanical simulator in a simulated water mist environment. Multi-layers of oxide scale have been developed on all the steel grades during short time oxidation. Internal and intergranular oxides were formed in the steel matrix underneath the inner spinel oxide layer. The cross section of the oxide scales were examined and measured by SEM to understand the oxide scale cross section morphology and thickness.
Chetcuti, A, Mackie, N, Tafavogh, S, Graf, N, Henwood, T, Charlton, A & Catchpoole, D 2014, 'Can Archival Tissue Reveal Answers to Modern Research Questions?: Computer-Aided Histological Assessment of Neuroblastoma Tumours Collected over 60 Years', Microarrays, vol. 3, no. 1, pp. 72-88.
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Despite neuroblastoma being the most common extracranial solid cancer in childhood, it is still a rare disease. Consequently, the unavailability of tissue for research limits the statistical power of studies. Pathology archives are possible sources of rare tissue, which, if proven to remain consistent over time, could prove useful to research of rare disease types. We applied immunohistochemistry to investigate whether long term storage caused any changes to antigens used diagnostically for neuroblastoma. We constructed and quantitatively assessed a tissue microarray containing neuroblastoma archival material dating between 1950 and 2007. A total of 119 neuroblastoma tissue cores were included spanning 6 decades. Fourteen antibodies were screened across the tissue microarray (TMA). These included seven positive neuroblastoma diagnosis markers (NB84, Chromogranin A, NSE, Ki-67, INI1, Neurofilament Protein, Synaptophysin), two anticipated to be negative (S100A, CD99), and five research antibodies (IL-7, IL-7R, JAK1, JAK3, STAT5). The staining of these antibodies was evaluated using Aperio ImageScope software along with novel pattern recognition and quantification algorithms. This analysis demonstrated that marker signal intensity did not decrease over time and that storage for 60 years had little effect on antigenicity. The construction and assessment of this neuroblastoma TMA has demonstrated the feasibility of using archival samples for research.
Chew, E & Anthony Dovey, K 2014, 'Learning to create sustainable value in turbulent operational contexts: the role of leadership practices', The Learning Organization, vol. 21, no. 4, pp. 243-257.
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Purpose – This paper aims to report on case-study research that explores the role of leadership practices, in particular, in enhancing the capacity of an enterprise to learn to create new value from a diverse range of sources. The capacity to sustain value creation over time, and across turbulent environments, increasingly differentiates enterprise performance. Under the umbrella term of “dynamic capabilities”, a range of practices have been identified in the literature as contributing to an enterprise’s ability to learn to perform this task successfully. Design/methodology/approach – The paper is based on case studies of three enterprises whose founders have sustained the creation of new value for customers over decades. Through a series of unstructured interviews with each founder, the tacit knowledge gained from years of learning how to create, and re-create, value, is made explicit through hermeneutic analysis of the interview transcripts. Findings – The data identify four key areas of leadership practice that underpin the capacity to learn to continuously create new value over significant periods of time. The most important of these are the social practices that generate and leverage the intangible capital resources (in particular, the resource of trust) that underpin the collaborative learning on which value creation processes depend. Research limitations/implications – As interpretive resear...
Chitambar, E & Hsieh, M-H 2014, 'Asymptotic state discrimination and a strict hierarchy in distinguishability norms', Journal of Mathematical Physics, vol. 55, no. 11, pp. 112204-112204.
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In this paper, we consider the problem of discriminating quantum states by local operations and classical communication (LOCC) when an arbitrarily small amount of error is permitted. This paradigm is known as asymptotic state discrimination, and we derive necessary conditions for when two multipartite states of any size can be discriminated perfectly by asymptotic LOCC. We use this new criterion to prove a gap in the LOCC and separable distinguishability norms. We then turn to the operational advantage of using two-way classical communication over one-way communication in LOCC processing. With a simple two-qubit product state ensemble, we demonstrate a strict majorization of the two-way LOCC norm over the one-way norm.
Chitambar, E, Hsieh, M-H & Winter, A 2014, 'The Private and Public Correlation Cost of Three Random Variables with Collaboration', IEEE Trans. Inf. Theory 62(4):2034-2043, 2016, vol. 62, no. 4, pp. 2034-2043.
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In this paper we consider the problem of generating arbitrary three-partycorrelations from a combination of public and secret correlations. Two parties-- called Alice and Bob -- share perfectly correlated bits that are secret froma collaborating third party, Charlie. At the same time, all three parties haveaccess to a separate source of correlated bits, and their goal is to convertthese two resources into multiple copies of some given tripartite distribution$P_{XYZ}$. We obtain a single-letter characterization of the trade-off betweenpublic and private bits that are needed to achieve this task. The rate ofprivate bits is shown to generalize Wyner's classic notion of commoninformation held between a pair of random variables. The problem we consider isalso closely related to the task of secrecy formation in which $P_{XYZ}$ isgenerated using public communication and local randomness but with Charliefunctioning as an adversary instead of a collaborator. We describe in detailthe differences between the collaborative and adversarial scenarios.
Chong, WT, Hew, WP, Yip, SY, Fazlizan, A, Poh, SC, Tan, CJ & Ong, HC 2014, 'The experimental study on the wind turbine’s guide-vanes and diffuser of an exhaust air energy recovery system integrated with the cooling tower', Energy Conversion and Management, vol. 87, pp. 145-155.
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Chu, J, Indraratna, B, Yan, S & Rujikiatkamjorn, C 2014, 'Overview of preloading methods for soil improvement', Proceedings of the Institution of Civil Engineers - Ground Improvement, vol. 167, no. 3, pp. 173-185.
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A review of the recent developments in soft soil improvement through consolidation or preloading is presented in this paper. The topics covered range from fundamental analysis to methods of implementation. Various methods and processes related to vertical drains, vacuum preloading or combined vacuum and fill surcharge, and dynamic consolidation with enhanced drainage or vacuum are compared and discussed. Factors affecting the design and analyses for the methods discussed are also elaborated.
Chuang, C-H, Ko, L-W, Lin, Y-P, Jung, T-P & Lin, C-T 2014, 'Independent Component Ensemble of EEG for Brain–Computer Interface', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 22, no. 2, pp. 230-238.
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Recently, successful applications of independent component analysis (ICA) to electroencephalographic (EEG) signals have yielded tremendous insights into brain processes that underlie human cognition. Many studies have further established the feasibility of using independent processes to elucidate human cognitive states. However, various technical problems arise in the building of an online brain-computer interface (BCI). These include the lack of an automatic procedure for selecting independent components of interest (ICi) and the potential risk of not obtaining a desired ICi. Therefore, this study proposes an ICi-ensemble method that uses multiple classifiers with ICA processing to improve upon existing algorithms. The mechanisms that are used in this ensemble system include: 1) automatic ICi selection; 2) extraction of features of the resultant ICi; 3) the construction of parallel pipelines for effectively training multiple classifiers; and a 4) simple process that combines the multiple decisions. The proposed ICi-ensemble is demonstrated in a typical BCI application, which is the monitoring of participants' cognitive states in a realistic sustained-attention driving task. The results reveal that the proposed ICi-ensemble outperformed the previous method using a single ICi with ∼ 7% (91.6% versus 84.3%) in the cognitive state classification. Additionally, the proposed ICi-ensemble method that characterizes the EEG dynamics of multiple brain areas favors the application of BCI in natural environments. © 2013 IEEE.
Cignoni, P, Pietroni, N, Malomo, L & Scopigno, R 2014, 'Field-aligned mesh joinery.', ACM Trans. Graph., vol. 33, pp. 11:1-11:1.
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Clements, D, Dugdale, T, Hunt, T, Fitch, R, Hung, C, Sukkarieh, S & Xu, Z 2014, 'Detection of alligator weed using an unmanned aerial vehicle', Plant Protection Quarterly, vol. 29, no. 3, pp. 84-89.
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A key impediment to the successful eradication
of high priority aquatic weeds
(State Prohibited Weeds in Victoria,
Australia) is the ability to detect infestations
so that control programs can be
enacted. Currently, the sole method used
to detect State Prohibited Weeds (SPWs)
is on-ground human surveillance.
Advances in unmanned aerial vehicle
(UAV) technology offer an opportunity to
detect SPWs using high resolution aerial
images of areas known, or suspected, to
contain SPWs. This proof of concept field
trial used a UAV coupled with a camera
to gain aerial imagery of an urban creek
and wetlands to detect alligator weed
(Alternanthera philoxeroides (Mart.)
Griseb.), a SPW that is currently being
targeted for eradication from Victoria.
The ability of three methods to detect
patches of alligator weed was compared:
intensive on-ground surveys; visual
assessment of images collected by the
UAV; and an automated algorithm to
scan images for the spectral signature of
alligator weed
Coad, P, Cathers, B, Ball, JE & Kadluczka, R 2014, 'Proactive management of estuarine algal blooms using an automated monitoring buoy coupled with an artificial neural network', ENVIRONMENTAL MODELLING & SOFTWARE, vol. 61, pp. 393-409.
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© 2014. Algae proliferate when favourable biological, chemical and physical conditions are present. Algal blooms within the Hawkesbury River, NSW, are a regular feature of seasonal cycles and develop in response to non-periodic disturbances. To improve the understanding of processes that lead to algal blooms, an autonomous buoy has been deployed (since 2002) which has generated a high resolution, temporal data set. Parameters monitored at 15min intervals include Chlorophyll-a, temperature (water and air), salinity and photosynthetically available radiation. This data set is used to configure an Artificial Neural Network (ANN) to predict (one, three and seven days in advance) the mean, 10th and 90th percentile, daily Chlorophyll-a concentrations. The prediction accuracy of the ANNs progressively decreased from one to seven days in advance. Incorporating predictive models coupled with near real time data sourced from automated, telemetered monitoring buoys enables environmental managers to implement proactive algal bloom management strategies.
Collocott, SJ, Watterson, PA, Tan, XH & Xu, H 2014, 'The peak in anomalous magnetic viscosity', JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS, vol. 360, pp. 118-125.
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Anomalous magnetic viscosity, where the magnetization as a function of time exhibits non-monotonic behaviour, being seen to increase, reach a peak, and then decrease, is observed on recoil lines in bulk amorphous ferromagnets, for certain magnetic prehistories. A simple geometrical approach based on the motion of the state line on the Preisach plane gives a theoretical framework for interpreting non-monotonic behaviour and explains the origin of the peak. This approach gives an expression for the time taken to reach the peak as a function of the applied (or holding) field. The theory is applied to experimental data for bulk amorphous ferromagnet alloys of composition Nd 60-x Fe 30 Al 10 Dy x , x = 0, 1, 2, 3 and 4, and it gives a reasonable description of the observed behaviour. The role played by other key magnetic parameters, such as the intrinsic coercivity and fluctuation field, is also discussed. When the non-monotonic behaviour of the magnetization of a number of alloys is viewed in the context of the model, features of universal behaviour emerge, that are independent of alloy composition. © 2014 Published by Elsevier B.V. All rights reserved.
Combes, J, Ferrie, C, Jiang, Z & Caves, CM 2014, 'Quantum limits on postselected, probabilistic quantum metrology', Physical Review A, vol. 89, no. 5.
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Probabilistic metrology attempts to improve parameter estimation by occasionally reporting an excellent estimate and the rest of the time either guessing or doing nothing at all. Here we show that probabilistic metrology can never improve quantum limits on estimation of a single parameter, both on average and asymptotically in number of trials, if performance is judged relative to mean-square estimation error. We extend the result by showing that for a finite number of trials, the probability of obtaining better estimates using probabilistic metrology, as measured by mean-square error, decreases exponentially with the number of trials. To be tight, the performance bounds we derive require that likelihood functions be approximately normal, which in turn depends on how rapidly specific distributions converge to a normal distribution with number of trials. © 2014 American Physical Society.
Consoli, NC, da Rocha, CG & Silvani, C 2014, 'Devising dosages for soil–fly ash–lime blends based on tensile strength controlling equations', Construction and Building Materials, vol. 55, pp. 238-245.
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Consoli, NC, Rocha, CGD & Saldanha, RB 2014, 'Coal fly ash–carbide lime bricks: An environment friendly building product', Construction and Building Materials, vol. 69, pp. 301-309.
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Cretchley, PC, Edwards, SL, O'Shea, P, Sheard, J, Hurst, J & Brookes, W 2014, 'Research and/or learning and teaching: a study of Australian professors' priorities, beliefs and behaviours', Higher Education Research & Development, vol. 33, no. 4, pp. 649-669.
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This paper presents findings from an empirical study of key aspects of the teaching and research priorities, beliefs and behaviours of 72 professorial and associate professorial academics in Science, Information Technology and Engineering across four faculties in three Australian universities. The academics ranked 16 research activities and 16 matched learning and teaching (L&T) activities from three perspectives: job satisfaction, role model behaviour and perceptions of professional importance. The findings were unequivocally in favour of research in all three areas and remarkably consistent across the universities. The only L&T activity that was ranked consistently well was 'improving student satisfaction ratings for teaching', an area in which academics are increasingly held accountable. Respondents also indicated that their seniors encourage research efforts more than L&T efforts. Recommendations include that higher education rewards for quality L&T are maintained or improved and that recognition of L&T research domains is further strengthened. © 2013 HERDSA.
Cui, H, Feng, C, Chai, Y, Liu, RP & Liu, Y 2014, 'Effect of hybrid circle reservoir injected with wavelet-neurons on performance of echo state network', Neural Networks, vol. 57, pp. 141-151.
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The Echo State Network (ESN) has attracted wide attention for its superior performance in chaos time-series prediction. However, the complicated ESN topologies and the random reservoirs are difficult to implement in practice. We propose a hybrid circle reservoir (HCR) ESN architecture that comprises the following features: (1) built with low complexity circle reservoir; (2) partly injected with wavelet-neurons; (3) uses fixed connection weights in both input matrix and dynamic reservoir matrix. The HCR model has been successfully applied to solve six application problems, and the results are used to compare with the existing low complexity simple circle reservoir (SCR) ESN. Furthermore, we analyze the performance of the new model under different ratios of wavelet-neurons, different circle distributions and different input sign patterns. Simulation results show that the HCR model achieves significantly better performance in prediction accuracy than the SCR model. Additionally, the HCR model has similar low complexity as the SCR. Moreover, the short-term memory capacity (MC) in the HCR is close to the theoretical optimal MC value. © 2014 Elsevier Ltd.
Cunha, I, Teixeira, R, Veitch, D & Diot, C 2014, 'DTRACK: A System to Predict and Track Internet Path Changes', IEEE/ACM Transactions on Networking, vol. 22, no. 4, pp. 1025-1038.
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In this paper, we implement and evaluate a system that predicts and tracks Internet path changes to maintain an up-to-date network topology. Based on empirical observations, we claim that monitors can enhance probing according to the likelihood of path changes. We design a simple predictor of path changes and show that it can be used to enhance probe targeting. Our path tracking system, called dtrack, focuses probes on unstable paths and spreads probes over time to minimize the chances of missing path changes. Our evaluations of dtrack with trace-driven simulations and with a prototype show that dtrack can detect up to three times more path changes than traditional traceroute-based topology mapping techniques. © 1993-2012 IEEE.
Cunning, BV, Ahmed, M, Mishra, N, Kermany, AR, Wood, B & Iacopi, F 2014, 'Graphitized silicon carbide microbeams: wafer-level, self-aligned graphene on silicon wafers', Nanotechnology, vol. 25, no. 32, pp. 325301-325301.
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da Rocha, CG, Consoli, NC & Dalla Rosa Johann, A 2014, 'Greening stabilized rammed earth: devising more sustainable dosages based on strength controlling equations', Journal of Cleaner Production, vol. 66, pp. 19-26.
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Dackermann, U, Crews, K, Kasal, B, Li, J, Riggio, M, Rinn, F & Tannert, T 2014, 'In situ assessment of structural timber using stress-wave measurements', MATERIALS AND STRUCTURES, vol. 47, no. 5, pp. 787-803.
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This paper summarizes the test recommendations for in situ assessment of structural timber using stress wave measurements as developed by members of the RILEM Technical Committee AST 215 ``In-situ assessment of structural timber. In the first part, the basic principles, the equipment, and the practical application of stress-wave-based testing using the time-of-flight method are described. A detailed testing procedure provides hands-on information on the execution of in-field stress wave testing. A typical example is given to demonstrate step-by step on how to evaluate stress wave readings and the health state of the inspected timber member. The latter part of the paper gives a short overview of the use of acoustic tomography and ultrasonic echo methods.
Dackermann, U, Skinner, B & Li, J 2014, 'Guided wave-based condition assessment of in situ timber utility poles using machine learning algorithms', STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, vol. 13, no. 4, pp. 374-388.
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This paper presents a machine-learning-based approach for the structural health monitoring (SHM) of in-situ timber utility poles based on guided wave (GW) propagation. The proposed non-destructive testing method combines a new multi-sensor testing system with advanced statistical signal processing techniques and state-of-the-art machine learning algorithms for the condition assessment of timber utility poles. Currently used pole inspection techniques have critical limitations including the inability to assess the underground section. GW methods, on the other hand, are techniques potentially capable of evaluating non-accessible areas and of detecting internal damage. However, due to the lack of solid understanding on the GW propagation in timber poles, most methods fail to fully interpret wave patterns from field measurements. The proposed method utilises an innovative multi-sensor testing system that captures wave signals along a sensor array and it applies machine learning algorithms to evaluate the soundness of a pole. To validate the new method, it was tested on eight in-situ timber poles. After the testing, the poles were dismembered to determine their actual health states. Various state-of-the-art machine learning algorithms with advanced data pre-processing were applied to classify the poles based on the wave measurements. It was found that using a support vector machine classifier, with the GW signals transformed into autoregressive coefficients, achieved a very promising maximum classification accuracy of 95.7±3.1% using 10-fold cross validation on multiple training and testing instances. Using leave-one-out cross validation, a classification accuracy of 93.3±6.0% for bending wave and 85.7±10.8% for longitudinal wave excitation was achieved. © The Author(s) 2014.
Dadras, M, Mohd Shafri, HZ, Ahmad, N, Pradhan, B & Safarpour, S 2014, 'A COMBINED FUZZY MCDM APPROACH FOR IDENTIFYING THE SUITABLE LANDS FOR URBAN DEVELOPMENT: AN EXAMPLE FROM BANDAR ABBAS, IRAN', Journal of Urban and Environmental Engineering, vol. 8, no. 1, pp. 11-27.
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This study aims at identifying the suitable lands for urban development in Bandar Abbas city based on its real world use regarding specific criteria and sub-criteria. The city of Bandar Abbas is considered as the most important commercial and economic city of Iran. It is also considered as one of the major cities of Iran which has played a pivotal role in the country's development and progress in recent years especially after the end of Iran-Iraq war owing to its embracing the country's main commercial ports. This process has caused the immigration rate into the city to rise significantly over the past 20 years. Thus, the development of the city is meanwhile considered as a high priority. Bandar Abbas city does not have a rich capacity for growth and development due to its special geographical situation being located in coastal border. Among the limitations placed in the city's development way, natural limitations (heights and sea shore) in the northern and southern parts of the city and structural limitations (military centers) in the east and west sides of the city may be referred. Therefore, identifying the suitable lands for urban development within Bandar Abbas city limits is becoming an essential priority. Therefore, different quantitative and qualitative criteria have been studied in order to select and identify these lands. The structures of qualitative criteria for most parts involve ambiguities and vagueness. This leads us to use Fuzzy logic in this study as a natural method for determining the solutions for problems of Multi-criteria decision making (MCDM). In the current research, a combination of MCDM methods has been presented for analysis. To assignee weights of the criteria Fuzzy AHP (analytic hierarchy process) is used for land selection and Fuzzy TOPSIS (method for order priority by similarity to ideal solution) is utilized to choose the alternative that is the most appropriate through these criteria weights. The sensitivity an...
Dadras, M, Mohd Shafri, HZ, Ahmad, N, Pradhan, B & Safarpour, S 2014, 'A COMBINED FUZZY MCDM APPROACH FOR IDENTIFYING THE SUITABLE LANDS FOR URBAN DEVELOPMENT: AN EXAMPLE FROM BANDAR ABBAS, IRAN', Journal of Urban and Environmental Engineering, vol. 8, no. 1, pp. 11-27.
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This study aims at identifying the suitable lands for urban development in Bandar Abbas city based on its real world use regarding specific criteria and sub-criteria. The city of Bandar Abbas is considered as the most important commercial and economic city of Iran. It is also considered as one of the major cities of Iran which has played a pivotal role in the country's development and progress in recent years especially after the end of Iran-Iraq war owing to its embracing the country's main commercial ports. This process has caused the immigration rate into the city to rise significantly over the past 20 years. Thus, the development of the city is meanwhile considered as a high priority. Bandar Abbas city does not have a rich capacity for growth and development due to its special geographical situation being located in coastal border. Among the limitations placed in the city's development way, natural limitations (heights and sea shore) in the northern and southern parts of the city and structural limitations (military centers) in the east and west sides of the city may be referred. Therefore, identifying the suitable lands for urban development within Bandar Abbas city limits is becoming an essential priority. Therefore, different quantitative and qualitative criteria have been studied in order to select and identify these lands. The structures of qualitative criteria for most parts involve ambiguities and vagueness. This leads us to use Fuzzy logic in this study as a natural method for determining the solutions for problems of Multi-criteria decision making (MCDM). In the current research, a combination of MCDM methods has been presented for analysis. To assignee weights of the criteria Fuzzy AHP (analytic hierarchy process) is used for land selection and Fuzzy TOPSIS (method for order priority by similarity to ideal solution) is utilized to choose the alternative that is the most appropriate through these criteria weights. The sensitivity an...
Dadras, M, Mohd Shafri, HZ, Ahmad, N, Pradhan, B & Safarpour, S 2014, 'Land Use/Cover Change Detection and Urban Sprawl Analysis in Bandar Abbas City, Iran', The Scientific World Journal, vol. 2014, pp. 1-12.
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The process of land use change and urban sprawl has been considered as a prominent characteristic of urban development. This study aims to investigate urban growth process in Bandar Abbas city, Iran, focusing on urban sprawl and land use change during 1956–2012. To calculate urban sprawl and land use changes, aerial photos and satellite images are utilized in different time spans. The results demonstrate that urban region area has changed from 403.77 to 4959.59 hectares between 1956 and 2012. Moreover, the population has increased more than 30 times in last six decades. The major part of population growth is related to migration from other parts the country to Bandar Abbas city. Considering the speed of urban sprawl growth rate, the scale and the role of the city have changed from medium and regional to large scale and transregional. Due to natural and structural limitations, more than 80% of barren lands, stone cliffs, beach zone, and agricultural lands are occupied by built-up areas. Our results revealed that the irregular expansion of Bandar Abbas city must be controlled so that sustainable development could be achieved.
Dang, HQ, Price, WE & Nghiem, LD 2014, 'The effects of feed solution temperature on pore size and trace organic contaminant rejection by the nanofiltration membrane NF270', Separation and Purification Technology, vol. 125, pp. 43-51.
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Datta, N, Hsieh, M-H & Oppenheim, J 2014, 'An upper bound on the second order asymptotic expansion for the quantum communication cost of state redistribution', Journal of Mathematical Physics, vol. 57, no. 5, p. 052203.
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State redistribution is the protocol in which, given an arbitrary tripartitequantum state, with two of the subsystems initially being with Alice and onebeing with Bob, the goal is for Alice to send one of her subsystems to Bob,possibly with the help of prior shared entanglement. We derive an upper boundon the second order asymptotic expansion for the quantum communication cost ofachieving state redistribution with a given finite accuracy. In proving ourresult, we also obtain an upper bound on the quantum communication cost of thisprotocol in the one-shot setting, by using the protocol of coherent statemerging as a primitive.
Datta, N, Tomamichel, M & Wilde, MM 2014, 'On the Second-Order Asymptotics for Entanglement-Assisted Communication', Quantum Information Processing, vol. 15, no. 6, pp. 6-2591.
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The entanglement-assisted classical capacity of a quantum channel is known toprovide the formal quantum generalization of Shannon's classical channelcapacity theorem, in the sense that it admits a single-letter characterizationin terms of the quantum mutual information and does not increase in thepresence of a noiseless quantum feedback channel from receiver to sender. Inthis work, we investigate second-order asymptotics of the entanglement-assistedclassical communication task. That is, we consider how quickly the rates ofentanglement-assisted codes converge to the entanglement-assisted classicalcapacity of a channel as a function of the number of channel uses and the errortolerance. We define a quantum generalization of the mutual informationvariance of a channel in the entanglement-assisted setting. For covariantchannels, we show that this quantity is equal to the channel dispersion, andthus completely characterize the convergence towards the entanglement-assistedclassical capacity when the number of channel uses increases. Our results alsoapply to entanglement-assisted quantum communication, due to the equivalencebetween entanglement-assisted classical and quantum communication establishedby the teleportation and super-dense coding protocols.
Dayong Ye, Minjie Zhang & Sutanto, D 2014, 'Cloning, Resource Exchange, and RelationAdaptation: An Integrative Self-Organisation Mechanism in a Distributed Agent Network', IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 4, pp. 887-897.
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Dehbokry, SG & Chew, EK 2014, 'The Strategic Requirements for an Enterprise Business Architecture Framework by SMEs', Lecture Notes on Information Theory, vol. 2, no. 1, pp. 32-38.
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tSmall and Medium Enterprises (SMEs) have inherent resource and capability constraints. Competing in a dynamic, collaborative, global environment, SMEs need a strategic management tool to help develop the requisite capabilities, structure, and integrate and leverage the underlying IT resources in line with the dynamic market and environmental conditions. We argue that the SMEs combined internal and external environmental challenges call for the support of an Enterprise Business Architecture (EBA) framework a new strategic tool to facilitate the SME development and management of resources and to capitalize on the environment opportunities. From an extensive exploratory literature review, this paper highlights the limitations of existing IT architectural frameworks for SMEs and explicates the underlying drivers of SME requirements for an alternative business-oriented architectural EBA framework as well as the in-built SME barriers to using EBA. The SMEs need for and associated inherent barriers of EBA are also confirmed by industry experts feedback through a preliminary semi-structured online survey
Demong, NAR, Lu, J & Hussain, FK 2014, 'Personalised property investment risk analysis model in the real estate industry', Studies in Computational Intelligence, vol. 502, pp. 369-390.
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Property investment in the real estate industry entails high cost and high risk, but provides high yield for return on investment. Risk factors in the real estate industry are mostly uncertain and change dynamically with the surrounding developments. There are many existing risk analysis tools or techniques that help investors to find better solutions. Most techniques available refer to expert's opinions in ranking and weighting the risk factors. As a result, they create misinterpretation and varying judgments from the experts. In addition, investment purposes differ between investors for both commercial and residential properties. There is therefore a need for personalisation elements to enable investors to interact with the analysis. This chapter presents a personalised risk analysis model that enables investors to analyse the risk of their property investments and make correct decisions. The model has three main components: investor, decision support technologies, and the data. Real world data from the Australian real estate industry is used to validate the proposed model. © 2014 Springer-Verlag Berlin Heidelberg.
Deng, L, Guo, W, Ngo, HH, Zhang, J, Liang, S, Xia, S, Zhang, Z & Li, J 2014, 'A comparison study on membrane fouling in a sponge-submerged membrane bioreactor and a conventional membrane bioreactor', BIORESOURCE TECHNOLOGY, vol. 165, pp. 69-74.
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This study compared membrane fouling in a sponge-submerged membrane bioreactor (SSMBR) and a conventional membrane bioreactor (CMBR) based on sludge properties when treating synthetic domestic wastewater. In the CMBR, soluble microbial products (SMP) in activated sludge were a major contributor for initial membrane fouling and presented higher concentration in membrane cake layer. Afterwards, membrane fouling was mainly governed by bound extracellular polymeric substances (EPS) in activated sludge, containing lower proteins but significantly higher polysaccharides. Sponge addition could prevent cake formation on membrane surface and pore blocking inside membrane, thereby alleviating membrane fouling. The SSMBR exhibited not only less growth of the biomass and filamentous bacteria, but also lower cake layer and pore blocking resistance due to lower bound EPS concentrations in activated sludge. Less membrane fouling in SSMBR were also attributed to larger particle size, higher zeta potential and relative hydrophobicity of sludge flocs.
Deng, S, Huang, L & Xu, G 2014, 'Social network-based service recommendation with trust enhancement', Expert Systems with Applications, vol. 41, no. 18, pp. 8075-8084.
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Given the increasing applications of service computing and cloud computing, a large number of Web services are deployed on the Internet, triggering the research of Web service recommendation. Despite of service QoS, the use of user feedback is becoming the current trend in service recommendation. Likewise in traditional recommender systems, sparsity, cold-start and trustworthiness are major issues challenging service recommendation in adopting similarity-based approaches. Meanwhile, with the prevalence of social networks, nowadays people become active in interacting with various computers and users, resulting in a huge volume of data available, such as service information, user-service ratings, interaction logs, and user relationships. Therefore, how to incorporate the trust relationship in social networks with user feedback for service recommendation motivates this work. In this paper, we propose a social network-based service recommendation method with trust enhancement known as RelevantTrustWalker. First, a matrix factorization method is utilized to assess the degree of trust between users in social network. Next, an extended random walk algorithm is proposed to obtain recommendation results. To evaluate the accuracy of the algorithm, experiments on a real-world dataset are conducted and experimental results indicate that the quality of the recommendation and the speed of the method are improved compared with existing algorithms. © 2014 Elsevier Ltd. All rights reserved.
Deng, W & Goldys, EM 2014, 'Chemical sensing with nanoparticles as optical reporters: from noble metal nanoparticles to quantum dots and upconverting nanoparticles', The Analyst, vol. 139, no. 21, pp. 5321-5334.
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Deng, W, Goldys, EM, Farnham, MMJ & Pilowsky, PM 2014, 'Optogenetics, the intersection between physics and neuroscience: light stimulation of neurons in physiological conditions', American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, vol. 307, no. 11, pp. R1292-R1302.
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Neuronal stimulation by light is a novel approach in the emerging field of optogenetics, where genetic engineering is used to introduce light-activated channels. However, light is also capable of stimulating neurons even in the absence of genetic modifications through a range of physical and biological mechanisms. As a result, rigorous design of optogenetic experiments needs to take note of alternative and parallel effects of light illumination of neuronal tissues. Thus all matters relating to light penetration are critical to the development of studies using light-activated proteins. This paper discusses ways to quantify light, light penetration in tissue, as well as light stimulation of neurons in physiological conditions. We also describe the direct effect of light on neurons investigated at different sites.
Deng, Z, Choi, K-S, Cao, L & Wang, S 2014, 'T2FELA: Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System', IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 4, pp. 664-676.
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A challenge in modeling type-2 fuzzy logic systems is the development of efficient learning algorithms to cope with the ever increasing size of real-world data sets. In this paper, the extreme learning strategy is introduced to develop a fast training algorithm for interval type-2 Takagi-Sugeno-Kang fuzzy logic systems. The proposed algorithm, called type-2 fuzzy extreme learning algorithm (T2FELA), has two distinctive characteristics. First, the parameters of the antecedents are randomly generated and parameters of the consequents are obtained by a fast learning method according to the extreme learning mechanism. In addition, because the obtained parameters are optimal in the sense of minimizing the norm, the resulting fuzzy systems exhibit better generalization performance. The experimental results clearly demonstrate that the training speed of the proposed T2FELA algorithm is superior to that of the existing state-of-the-art algorithms. The proposed algorithm also shows competitive performance in generalization abilities. © 2013 IEEE.
Deshmukh, P, Gopinadhan, M, Choo, Y, Ahn, S-K, Majewski, PW, Yoon, SY, Bakajin, O, Elimelech, M, Osuji, CO & Kasi, RM 2014, 'Molecular Design of Liquid Crystalline Brush-Like Block Copolymers for Magnetic Field Directed Self-Assembly: A Platform for Functional Materials', ACS Macro Letters, vol. 3, no. 5, pp. 462-466.
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Devitt, SJ, Greentree, AD, Stephens, AM & Meter, RV 2014, 'High-speed quantum networking by ship', Sci. Rep, vol. 6, no. 1, p. 36163.
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Networked entanglement is an essential component for a plethora of quantumcomputation and communication protocols. Direct transmission of quantum signalsover long distances is prevented by fibre attenuation and the no-cloningtheorem, motivating the development of quantum repeaters, designed to purifyentanglement, extending its range. Quantum repeaters have been demonstratedover short distances, but error-corrected, global repeater networks with highbandwidth require new technology. Here we show that error corrected quantummemories installed in cargo containers and carried by ship can provide aflexible connection between local networks, enabling low-latency, high-fidelityquantum communication across global distances at higher bandwidths thanpreviously proposed. With demonstrations of technology with sufficient fidelityto enable topological error-correction, implementation of the quantum memoriesis within reach, and bandwidth increases with improvements in fabrication. Ourapproach to quantum networking avoids technological restrictions of repeaterdeployment, providing an alternate path to a worldwide Quantum Internet.
Diffner, E, Beck, D, Gudgin, E, Thoms, JAI, Knezevic, K, Pridans, C, Foster, S, Goode, D, Khong Lim, W, Boelen, L, Metzeler, KH, Micklem, G, Bohlander, SK, Buske, C, Burnett, A, Ottersbach, K, Vassiliou, GS, Olivier, J, Wong, JWH, Gottgens, B, Huntly, BJ & Pimanda, JE 2014, 'Diffner E, Beck D, Gudgin E, et al. Activity of a heptad of transcription factors is associated with stem cell programs and clinical outcome in acute myeloid leukemia. Blood. 2013;121(12):2289-2300.', Blood, vol. 123, no. 18, pp. 2901-2901.
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Ding, A, Liang, H, Qu, F, Bai, L, Li, G, Ngo, HH & Guo, W 2014, 'Effect of granular activated carbon addition on the effluent properties and fouling potentials of membrane-coupled expanded granular sludge bed process', Bioresource Technology, vol. 171, pp. 240-246.
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To mitigate membrane fouling of membrane-coupled anaerobic process, granular activated carbon (GAC: 50 g/L) was added into an expanded granular sludge bed (EGSB). A short-term ultrafiltration test was investigated for analyzing membrane fouling potential and underlying fouling mechanisms. The results showed that adding GAC into the EGSB not only improved the COD removal efficiency, but also alleviated membrane fouling efficiently because GAC could help to reduce soluble microbial products, polysaccharides and proteins by 26.8%, 27.8% and 24.7%, respectively, compared with the control system. Furthermore, excitation emission matrix (EEM) fluorescence spectroscopy analysis revealed that GAC addition mainly reduced tryptophan protein-like, aromatic protein-like and fulvic-like substances. In addition, the resistance distribution analysis demonstrated that adding GAC primarily decreased the cake layer resistance by 53.5%. The classic filtration mode analysis showed that cake filtration was the major fouling mechanism for membrane-coupled EGSB process regardless of the GAC addition.
Ding, C, Guo, YJ, Qin, P-Y, Bird, TS & Yang, Y 2014, 'A Defected Microstrip Structure (DMS)-Based Phase Shifter and Its Application to Beamforming Antennas', IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, vol. 62, no. 2, pp. 641-651.
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In this paper, a beam-steering antenna array that employs a new type of reconfigurable phase shifter is presented. The phase shifter consists of a number of cascaded reconfigurable defected microstrip structure (DMS) units. Each DMS unit is made by etching a slot in a microstrip line and loading the slot with PIN diodes. The 'on' and 'off' states of the PIN diodes in the DMS unit provide the phase shifts by changing the current paths. Analyses on the performance of various phase shifters cascading different numbers of DMS units are conducted by both simulations and experiments. Using the proposed phase-shifter units and Wilkinson power dividers, a four-element beam-steering antenna array was designed, fabricated, and tested. Experimental results agree well with the simulated ones. The proposed antenna array employing DMS-based phase shifters offers a low-cost solution to beamforming in wireless communications. © 2013 IEEE.
Diyaljee, V 2014, 'Discussion of “Deformation of Coal Fouled Ballast Stabilized with Geogrid under Cyclic Load” by Buddhima Indraratna, Ngoc Trung Ngo, and Cholachat Rujikiatkamjorn', Journal of Geotechnical and Geoenvironmental Engineering, vol. 140, no. 6, pp. 07014010-07014010.
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Dong, H & Hussain, FK 2014, 'Self-Adaptive Semantic Focused Crawler for Mining Services Information Discovery', IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, vol. 10, no. 2, pp. 1616-1626.
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Dong, XJ, Liu, EQ, Yang, J & Wu, Q 2014, 'Visible and infrared automatic image registration based on SLER', Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves, vol. 33, no. 1, pp. 90-97.
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A novel approach to the problem of visible and infrared automatic image registration was proposed. The registration is performed by extracting affine covariant regions through same level extremal region (SLER) detector on a gray gradient image. Then, hypergraph matching algorithm was employed to obtain identical key points. The approach is especially suitable for registering multi-sensor infrared images where the quality of images or the corresponding edge maps are worse than the counterparts on a common optical image. Experiments performed on several challenging real image pair show that our proposed method achieves better performance than other approaches.
Dovey, KA & McCabe, B 2014, 'The Politics of Innovation: Realising the Value of Intrapreneurs', INTERNATIONAL JOURNAL OF LEARNING AND INTELLECTUAL CAPITAL, vol. 11, no. 3, pp. 185-201.
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This paper offers three cases, from very different industries, where an organisation failed to realise the value of the talent that was recruited at significant cost to lead an attempt at innovation. In each case, the recruited talent was forced into an intrapreneurial role - one in which they had to operate below the management radar - in order to attempt to progress the project for which they were employed. Furthermore, in each case, senior management at the company failed to scrutinise its management practices with respect to the constraints they unwittingly imposed upon the newly recruited person. Through its analysis of the reasons for each of these failures, the paper highlights the dynamics of effective talent management in the knowledge era, and points to alternative leadership practices through which to realise the value offered by talented staff recruited specifically to lead an organisation's strategic intent to innovate.
Dragos, J & Wu, C 2014, 'Application of Normalized Pressure Impulse Diagrams for Vented and Unvented Confined Blasts', Journal of Engineering Mechanics, vol. 140, no. 3, pp. 593-603.
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Dragos, J & Wu, C 2014, 'Interaction between direct shear and flexural responses for blast loaded one-way reinforced concrete slabs using a finite element model', Engineering Structures, vol. 72, pp. 193-202.
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In this paper, both the moment-curvature flexural behavior and the direct shear behavior are incorporated into a numerically efficient one dimensional finite element model, utilizing Timoshenko Beam Theory, to determine the member and direct shear response of one-way reinforced concrete slabs subjected to blasts. The model is used to undertake a case study to demonstrate the flexural member response behavior during the direct shear response and is then used to carry out a parametric study to better understand the interaction of the flexural member response and the direct shear response. This is done by comparing pressure impulse curves corresponding to direct shear failure for one-way reinforced concrete slabs with varying depth, span and support conditions. The results aim to provide insight to facilitate the development of more accurate simplified methods for determining the direct shear response of blast loaded reinforced concrete members, such as the single degree of freedom method. © 2014 Elsevier Ltd.
Dragos, J, Visintin, P, Wu, C & Oehlers, DJ 2014, 'A Numerically Efficient Finite Element Analysis of Reinforced Concrete Members Subjected to Blasts', International Journal of Protective Structures, vol. 5, no. 1, pp. 65-82.
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A common approach for predicting member response under blast loading is through the use of a finite element software package. Such an analysis typically requires the implementation of a three dimensional mesh and, therefore, requires significant computational effort. In this paper, it is shown how a displacement based segmental moment-rotation (M/θ) analysis can be used to simulate the cracking and softening behavior of reinforced concrete over a segment of a member using the mechanics of partial interaction and shear friction. It is then shown how the M/θ behavior extracted from the segmental analysis can be simplified into an equivalent one dimensional moment curvature relationship which can then be incorporated into a fast running one dimensional finite element approach to determine the response of reinforced concrete slabs subjected to blast loading. Then, results determined using the approach are compared against those obtained from blast experiments and the numerical efficiency of the model is discussed.
Duan, R & Winter, A 2014, 'No-Signalling Assisted Zero-Error Capacity of Quantum Channels and an Information Theoretic Interpretation of the Lovasz Number', IEEE Trans. Inf. Theory 62(2):891-914, 2016, vol. 62, no. 2, pp. 891-914.
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We study the one-shot zero-error classical capacity of a quantum channelassisted by quantum no-signalling correlations, and the reverse problem ofexact simulation of a prescribed channel by a noiseless classical one. Quantumno-signalling correlations are viewed as two-input and two-output completelypositive and trace preserving maps with linear constraints enforcing that thedevice cannot signal. Both problems lead to simple semidefinite programmes(SDPs) that depend only on the Kraus operator space of the channel. Inparticular, we show that the zero-error classical simulation cost is preciselythe conditional min-entropy of the Choi-Jamiolkowski matrix of the givenchannel. The zero-error classical capacity is given by a similar-looking butdifferent SDP; the asymptotic zero-error classical capacity is theregularization of this SDP, and in general we do not know of any simple form. Interestingly however, for the class of classical-quantum channels, we showthat the asymptotic capacity is given by a much simpler SDP, which coincideswith a semidefinite generalization of the fractional packing number suggestedearlier by Aram Harrow. This finally results in an operational interpretationof the celebrated Lovasz $\vartheta$ function of a graph as the zero-errorclassical capacity of the graph assisted by quantum no-signalling correlations,the first information theoretic interpretation of the Lovasz number.
Durao, F, Bayyapu, K, Xu, G, Dolog, P & Lage, R 2014, 'Expanding user’s query with tag-neighbors for effective medical information retrieval', Multimedia Tools and Applications, vol. 71, no. 2, pp. 905-929.
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Dyson, LE, Frawley, JK, Tyler, J & Wakefield, J 2014, 'Facilitating Enhanced Learning in Tutorials through Tablet Computing Enabled Sharing and Annotation Technologies', Transactions on Mobile Learning, vol. 3, pp. 22-26.
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The purpose of this study is report on a trial of tablet computing enabled sharing and annotation technologies in an Introductory Accounting subject. These technologies allow student homework to be photographed using a tablet computer (iPad in our study), shown to the class instantaneously through a data projector and annotated live by the tutor, along with student participation, using the tablet computer. These technologies are intended to address calls for more student–centred approaches to learning, moving away from the didactic approach that dominates much of accountingeducation. Two focus group sessions were conducted to explore the effectiveness of the technologies, with the first group from a class where the tutor used the iPad and the second from a class wherethere was no iPad use. The findings from the focus groups suggest that in the class where the iPadwas used, there was a far greater ability to focus on the questions and problems students were facing,a lot more material could be covered, student felt more comfortable participating because they couldsee their fellow students faced similar challenges and they were far more likely to completehomework prior to class. Overall this indicates there were significant benefits for students.
Ekpenyong, UE, Zhang, J & Xia, X 2014, 'Mathematical modelling for the social impact to energy efficiency savings', Energy and Buildings, vol. 84, pp. 344-351.
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El Saliby, I, Erdei, L, McDonagh, A, Kim, J-B, Kim, J-H & Shon, HK 2014, 'Co-doped mesoporous titania photocatalysts prepared from a peroxo-titanium complex solution', MATERIALS RESEARCH BULLETIN, vol. 49, pp. 7-13.
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In this study, nitrogen doped and nitrogen/silver co-doped TiO2 photocatalsysts were fabricated using a sol–gel method at room temperature. The obtained gels were neutralized, washed with pure water, and calcined at 400 °C for 4 h. The photocatalysts were characterized by scanning and transmission electron microscopy, X-ray diffraction, diffuse reflectance spectroscopy, X-ray photoelectron spectroscopy, and BET specific surface area. The results showed that spherical particles with anatase structure were produced after annealing at 400 °C. N 1s (400 eV) and Ag 3d (367.3 eV) states indicated that nitrogen doping and silver co-doping were in the form of NO bonds and AgO, respectively. The photocatalytic activity of photocatalysts was investigated using a batch reactor system exposed to artificial solar irradiation. Both nitrogen and silver/nitrogen co-doped materials were effective in the photocatalytic degradation of hexamethyl pararosaniline chloride.
Elbialy, S, Mahmoud, A, Pradhan, B & Buchroithner, M 2014, 'Application of spaceborne synthetic aperture radar data for extraction of soil moisture and its use in hydrological modelling at Gottleuba Catchment, Saxony, Germany', Journal of Flood Risk Management, vol. 7, no. 2, pp. 159-175.
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AbstractHydrological modelling is a powerful tool for hydrologists and engineers involved in the planning and management of water resources. With the recent advent of computational power and the growing availability of spatial data, remote sensing and geographical information systems technologies can augment to a great extent the conventional methods used in rainfall run‐off studies. That means it is possible to accurately describe the characteristics of watershed in particularly when determining the run‐off response to rainfall inputs. The main objective of this study is to apply the potential application of spaceborne synthetic aperture radar (SAR) data (i.e. TerraSAR‐X and Advanced Land Observing Satellite/Phased Array type L‐band Synthetic Aperture Radar (ALOS PALSAR) for soil moisture retrieval) and to improve the spatial input parameters required for hydrological modelling. For the spatial database creation, a high‐resolution 2‐m aerial laser scanning digital terrain model, soil map, and land use map were used. Rainfall records were transformed into a run‐off through hydrological parameterisation of the watershed using Hydro...
Erfani, SS & Abedin, B 2014, 'Effects of Web based cancer support resources use on cancer affected people: A systematic literature review', The International Technology Management Review, vol. 4, no. 4, pp. 201-201.
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Evans, T-J, Milne, E, Anderson, D, de Klerk, NH, Jamieson, SE, Talseth-Palmer, BA, Bowden, NA, Holliday, EG, Rudant, J, Orsi, L, Richardson, E, Lavis, L, Catchpoole, D, Attia, JR, Armstrong, BK, Clavel, J & Scott, RJ 2014, 'Confirmation of Childhood Acute Lymphoblastic Leukemia Variants, ARID5B and IKZF1, and Interaction with Parental Environmental Exposures', PLoS ONE, vol. 9, no. 10, pp. e110255-e110255.
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Genome wide association studies (GWAS) have established association of ARID5B and IKZF1 variants with childhood acute lymphoblastic leukemia (ALL). Epidemiological studies suggest that environmental factors alone appear to make a relatively minor contribution to disease risk. The polygenic nature of childhood ALL predisposition together with the timing of environmental triggers may hold vital clues for disease etiology. This study presents results from an Australian GWAS of childhood ALL cases (n = 358) and population controls (n = 1192). Furthermore, we utilised family trio (n = 204) genotypes to extend our investigation to gene-environment interaction of significant loci with parental exposures before conception, and child's sex and age. Thirteen SNPs achieved genome wide significance in the population based case/control analysis; ten annotated to ARID5B and three to IKZF1. The most significant SNPs in these regions were ARID5B rs4245595 (OR 1.63, CI 1.38-1.93, P = 2.13×10(-9)), and IKZF1 rs1110701 (OR 1.69, CI 1.42-2.02, p = 7.26×10(-9)). There was evidence of gene-environment interaction for risk genotype at IKZF1, whereby an apparently stronger genetic effect was observed if the mother took folic acid or if the father did not smoke prior to pregnancy (respective interaction P-values: 0.04, 0.05). There were no interactions of risk genotypes with age or sex (P-values >0.2). Our results evidence that interaction of genetic variants and environmental exposures may further alter risk of childhood ALL however, investigation in a larger population is required. If interaction of folic acid supplementation and IKZF1 variants holds, it may be useful to quantify folate levels prior to initiating use of folic acid supplements.
Everitt, MS, Devitt, S, Munro, WJ & Nemoto, K 2014, 'High-fidelity gate operations with the coupled nuclear and electron spins of a nitrogen-vacancy center in diamond', Physical Review A, vol. 89, no. 5.
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Fam, W, Phuntsho, S, Lee, JH, Cho, J & Shon, HK 2014, 'Boron transport through polyamide-based thin film composite forward osmosis membranes', DESALINATION, vol. 340, no. 1, pp. 11-17.
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The boron transport in forward osmosis (FO) process using thin film composite (TFC) membranes has been investigated. Two common fertilizers were used as draw solutes and a model seawater as the feed. The influence of several physical and chemical operating conditions on boron solute flux and boron rejection rates was investigated. The examined factors include draw solution types, membrane orientation, feed and draw solution concentrations, boron feed concentration, crossflow rate, and feed solution pH. The key mechanisms that govern boron transports are reverse draw solute flux and internal concentration polarization experienced by the membrane during the FO process. Results show that the use of draw solute with small hydrated radius could improve boron rejection hindered by the higher reverse diffusion of draw solutes. The osmotic process operated in the pressure retarded osmosis (PRO) mode results in lower boron rejection. However, the most effective boron removal was achieved by operating the feed solution at high pH (pH=11) because boron in the solution contains larger-size borate species, and thus increases boron rejection rate up to 94% by electrostatic repulsion. This study mainly focused on the performance of TFC membrane in boron removal. © 2014 Elsevier B.V.
Fang, J, Gao, Y, Sun, G, Zhang, Y & Li, Q 2014, 'Parametric analysis and multiobjective optimization for functionally graded foam-filled thin-wall tube under lateral impact', Computational Materials Science, vol. 90, pp. 265-275.
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Foam-filled thin-walled tubes have proven an ideal energy absorber in automotive industry for its extraordinary energy-absorbing ability and lightweight potential. Unlike existing uniform foam (UF), this paper introduces functionally graded foam (FGF) to fill into the thin-walled structure subjected to lateral impact loading, where different configurations of foam grading (axial FGF and two transverse FGFs) are considered. To systematically investigate the bending behavior of this novel structure, numerical model is established using nonlinear finite element analysis code LS-DYNA and then is validated against the experiment. Through parametric study, it is found that the FGF tube absorbs more energy but may produce larger force than the UF counterpart. In addition, various parameters have a considerable effect on the crashworthiness performance of the FGF filled tube. Finally, multiobjective optimizations of UF and FGF filled columns are conducted, aiming to improve the specific energy absorption (SEA) and reduce the maximum impact force simultaneously, based upon the multiobjective particle optimization (MOPSO) algorithm and Kriging modeling technique. The optimization results show that all the FGF filled tubes can produce better Pareto solutions than the ordinary UF counterpart. Furthermore, the axial FGF tube provides better energy absorption characteristics than the two types of transverse FGF tubes.
Fang, Z, Jiang, ZY & Wei, DB 2014, 'Modeling of Grained Heterogeneity with Voronoi Tessellation in Microforming Process', Applied Mechanics and Materials, vol. 553, pp. 66-70.
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Microforming technology has attracted more and more attention because of its high utilization in almost every field. However, due to size effect, the conventional scale mechanical processing theories could not be applicable. Further, the characteristic of each single grain involved in the deformed area activates to play a significant role in the manufacturing process. In order to reflect and investigate the relationship among these grains better, this paper represents a pre-process modeling method with Voronoi tessellation to reveal the grained heterogeneity of workpiece numerically in order to obtain high accuracy and prediction result in finite element (FE) modelling of microforming process. Corresponding micro V-bending experiments have been carried out, and the experimental results are in good agreement with simulation results in terms of final angles after micro bending with consideration of springback.
Fang, Z, Lu, H, Wei, D, Jiang, Z, Zhao, X, Zhang, X & Wu, D 2014, 'Numerical Study on Springback with Size Effect in Micro V-bending', Procedia Engineering, vol. 81, pp. 1011-1016.
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With the development of microforming technology, the demand on accuracy of the metallic micro components is elevating. While springback phenomenon which is inevitable during bending process, can cause unpredicted dimensional error, bringing difficulties to the downstream assembly, and let alone the springback in microforming as the measurements of tools and workpieces downsize hundreds even thousands times. This paper focuses on the springback effect that occurs after the micro V-bending a classic processing method to manufacture microparts. Numerical simulation has been conducted to investigate the size effect in terms of Voronoi tessellation and springback. A finite element (FE) model of the micro V-bending has been established by utilising ABAQUS/Standard commercial software. The grain sizes of 98, 152 and 201 μm have been adopted in FE model to study the relationship between the size effect and springback angle during the V-bending process.
Fatahi, B & Tabatabaiefar, SHR 2014, 'Effects of Soil Plasticity on Seismic Performance of Mid-Rise Building Frames Resting on Soft Soils', Advances in Structural Engineering, vol. 17, no. 10, pp. 1387-1402.
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In this study, the effects of Plasticity Index (PI) variation on the seismic response of mid-rise building frames resting on soft soil deposits are investigated. To achieve this goal, three structural models including 5, 10, and 15 storey buildings are simulated in conjunction with a clayey soil representing soil class Eeaccording to the classification of AS1170.4–2007 (Earthquake actions in Australia) and then varying the Plasticity Index. Structural sections of the selected frames were designed according to AS3600–2009 (Australian Standard for Concrete Structures) after undertaking dynamic analysis under the influence of four different earthquake ground motions. The frame sections are modelled and analysed, employing finite difference method adopting FLAC 2D software under two different boundary conditions: (i) fixed base (no Soil-Structure Interaction), and (ii) flexible base considering soil-structure interaction. Fully nonlinear dynamic analyses under the influence of different earthquake records are conducted and the results in terms of maximum lateral displacements and inter-storey drifts for the above mentioned boundary conditions are obtained, compared, and discussed. Base on the results of the numerical investigations, it becomes apparent that as the Plasticity Index of the subsoil increases, the base shears of mid-rise building frames resting on soft soil deposits increase, while the lateral deflections and corresponding inter-storey drifts decrease. It is concluded that reduction of the Plasticity Index could noticeably amplify the effects of soil-structure interaction on the seismic response of mid-rise building frames.
Fatahi, B & Tabatabaiefar, SHR 2014, 'Fully Nonlinear versus Equivalent Linear Computation Method for Seismic Analysis of Midrise Buildings on Soft Soils', International Journal of Geomechanics, vol. 14, no. 4, pp. 04014016-04014016.
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In this study, the accuracy of a fully nonlinear method against an equivalent linear method for dynamic analysis of soil-structure interaction is investigated comparing the predicted results of both numerical procedures. Three structural models, including 5-story, 10-story, and 15-story buildings, are simulated in conjunction with two soil types with shear-wave velocities less than 600?m/s. The aforementioned frames were analyzed under three different conditions: (1) fixed-base model performing conventional time history dynamic analysis under the influence of earthquake records, (2) flexible-base model (considering full soil-structure interaction) conducting equivalent linear dynamic analysis of soil-structure interaction under seismic loads, and (3) flexible-base model performing fully nonlinear dynamic analysis of soil-structure interaction under the influence of earthquake records. The results of these three cases in terms of average lateral story deflections and interstory drifts are determined, compared, and discussed. It is concluded that the equivalent linear method of the dynamic analysis underestimates the inelastic seismic response of midrise moment resisting building frames resting on soft soils in comparison with the fully nonlinear dynamic analysis method. Therefore, a design procedure using the equivalent linear method cannot adequately guarantee the structural safety for midrise building frames resting on soft soils.
Fatahi, B, Basack, S, Ryan, P, Zhou, W-H & Khabbaz, H 2014, 'Performance of laterally loaded piles considering soil and interface parameters', GEOMECHANICS AND ENGINEERING, vol. 7, no. 5, pp. 495-524.
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© 2014 Techno-Press, Ltd. To investigate the soil-pile interactive performance under lateral loads, a set of laboratory model tests was conducted on remoulded test bed of soft clay and medium dense sand. Then, a simplified boundary element analysis had been carried out assuming floating pile. In case of soft clay, it has been observed that lateral loads on piles can initiate the formation of a gap, soil heave and the tension crack in the vicinity of the soil surface and the interface, whereas in medium dense sand, a semi-elliptical depression zone can develop. Comparison of test and boundary element results indicates the accuracy of the solution developed. However, in the boundary element analysis, the possible shear stresses likely to be developed at the interface are ignored in order to simplify the existing complex equations. Moreover, it is unable to capture the influence of base restraint in case of a socketed pile. To bridge up this gap and to study the influence of the initial stress state and interface parameters, a field based case-study of laterally-loaded pile in layered soil with socketed tip is explored and modelled using the finite element method. The results of the model have been verified against known field measurements from a case-study. Parametric studies have been conducted to investigate the influence of the coefficient of lateral earth pressure and the interface strength reduction factor on the results of the model.
Fatahi, B, Khabbaz, H & Indraratna, B 2014, 'Modelling of unsaturated ground behaviour influenced by vegetation transpiration', Geomechanics and Geoengineering, vol. 9, no. 3, pp. 187-207.
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Vegetation contributes to weak soil stabilisation through reinforcement of the soil, dissipation of excess pore pressure and increasing the shear strength by induced matric suction. This paper describes the way vegetation influences soil matric suction, shrinkage and ground settlement in the vadose zone through transpiration. A mathematical model for the rate of root water uptake, including the root growth rate considering ground conditions, type of vegetation and climatic parameters, has been developed. A finite element approach is employed to solve the transient coupled flow-deformation equations. The finite element mesh is built using partially saturated soil elements capable of representing the salient aspects of unsaturated permeability and the soil water characteristic curve. The model formulation is based on the effective stress theory of unsaturated soils. Based on this proposed model, the distribution of the ground matric suction profile adjacent to the tree is numerically analysed. Current field measurements of soil matric suction and moisture content collected from Miram site located in Victoria State, Australia by the authors are compared with the numerical predictions. The results indicate that the proposed root water uptake model incorporated in the numerical analysis can be used for prediction of ground properties influenced by tree roots. © 2014 Taylor & Francis.
Fatahi, B, Tabatabaiefar, SHR & Samali, B 2014, 'Soil-structure interaction vs Site effect for seismic design of tall buildings on soft soil', GEOMECHANICS AND ENGINEERING, vol. 6, no. 3, pp. 293-320.
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In this study, in order to evaluate adequacy of considering local site effect, excluding soil-structure interaction (SSI) effects in inelastic dynamic analysis and design of mid-rise moment resisting building frames, three structural models including 5, 10, and 15 storey buildings are simulated in conjunction with two soil types with the shear wave velocities less than 600 m/s, representing soil classes De and Ee according to the classification of AS1170.4-2007 (Earthquake actions in Australia) having 30 m bedrock depth. Structural sections of the selected frames were designed according to AS3600:2009 (Australian Standard for Concrete Structures) after undertaking inelastic dynamic analysis under the influence of four different earthquake ground motions. Then the above mentioned frames were analysed under three different boundary conditions: (i) fixed base under direct influence of earthquake records; (ii) fixed base considering local site effect modifying the earthquake record only; and (iii) flexible-base (considering full soil-structure interaction). The results of the analyses in terms of base shears and structural drifts for the above mentioned boundary conditions are compared and discussed. It is concluded that the conventional inelastic design procedure by only including the local site effect excluding SSI cannot adequately guarantee the structural safety for mid-rise moment resisting buildings higher than 5 storeys resting on soft soil deposits.
Fauzi, H, Metselaar, HSC, Mahlia, TMI & Silakhori, M 2014, 'Sodium laurate enhancements the thermal properties and thermal conductivity of eutectic fatty acid as phase change material (PCM)', Solar Energy, vol. 102, pp. 333-337.
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Fauzi, H, Metselaar, HSC, Mahlia, TMI & Silakhori, M 2014, 'Thermo-physical stability of fatty acid eutectic mixtures subjected to accelerated aging for thermal energy storage (TES) application', Applied Thermal Engineering, vol. 66, no. 1-2, pp. 328-334.
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Feng, X, Tousley, ME, Cowan, MG, Wiesenauer, BR, Nejati, S, Choo, Y, Noble, RD, Elimelech, M, Gin, DL & Osuji, CO 2014, 'Scalable Fabrication of Polymer Membranes with Vertically Aligned 1 nm Pores by Magnetic Field Directed Self-Assembly', ACS Nano, vol. 8, no. 12, pp. 11977-11986.
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Feng, Y, Deng, Y & Ying, M 2014, 'Symbolic Bisimulation for Quantum Processes', ACM TRANSACTIONS ON COMPUTATIONAL LOGIC, vol. 15, no. 2, pp. 1-35.
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With the previous notions of bisimulation presented in the literature, to check if two quantum processes are bisimilar, we have to instantiate their free quantum variables with arbitrary quantum states, and verify the bisimilarity of the resulting configurations. This makes checking bisimilarity infeasible from an algorithmic point of view, because quantum states constitute a continuum. In this article, we introduce a symbolic operational semantics for quantum processes directly at the quantum operation level, which allows us to describe the bisimulation between quantum processes without resorting to quantum states. We show that the symbolic bisimulation defined here is equivalent to the open bisimulation for quantum processes in previous work, when strong bisimulations are considered. An algorithm for checking symbolic ground bisimilarity is presented. We also give a modal characterisation for quantum bisimilarity based on an extension of Hennessy-Milner logic to quantum processes. © 2014 ACM.
Ferrie, C 2014, 'Quantum Model Averaging', New J. Phys., vol. 16, p. 093035.
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Standard tomographic analyses ignore model uncertainty. It is assumed that agiven model generated the data and the task is to estimate the quantum state,or a subset of parameters within that model. Here we apply a model averagingtechnique to mitigate the risk of overconfident estimates of model parametersin two examples: (1) selecting the rank of the state in tomography and (2)selecting the model for the fidelity decay curve in randomized benchmarking.
Ferrie, C 2014, 'Self-guided quantum tomography', Phys. Rev. Lett., vol. 113, no. 19, p. 190404.
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We introduce a self-learning tomographic technique in which the experimentguides itself to an estimate of its own state. Self-guided quantum tomography(SGQT) uses measurements to directly test hypotheses in an iterative algorithmwhich converges to the true state. We demonstrate through simulation on manyqubits that SGQT is a more efficient and robust alternative to the usualparadigm of taking a large amount of informationally complete data and solvingthe inverse problem of post-processed state estimation.
Ferrie, C 2014, 'The best Fisher is upstream: data processing inequalities for quantum metrology', Phys. Rev. A, vol. 90, no. 1, p. 014101.
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We apply the classical data processing inequality to quantum metrology toshow that manipulating the classical information from a quantum measurementcannot aid in the estimation of parameters encoded in quantum states. Wefurther derive a quantum data processing inequality to show that coherentmanipulation of quantum data also cannot improve the precision in estimation.In addition, we comment on the assumptions necessary to arrive at theseinequalities and how they might be avoided providing insights into enhancementprocedures which are not provably wrong.
Ferrie, C & Combes, J 2014, 'How the result of a single coin toss can turn out to be 100 heads', Phys. Rev. Lett., vol. 113, no. 12, p. 120404.
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We show that the phenomenon of anomalous weak values is not limited toquantum theory. In particular, we show that the same features occur in a simplemodel of a coin subject to a form of classical backaction with pre- andpost-selection. This provides evidence that weak values are not inherentlyquantum, but rather a purely statistical feature of pre- and post-selectionwith disturbance.
Ferrie, C & Moussa, O 2014, 'Robust and efficient in situ quantum control', Phys. Rev. A, vol. 91, no. 5, p. 052306.
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Precision control of quantum systems is the driving force for both quantumtechnology and the probing of physics at the quantum and nano-scale. We proposean implementation independent method for in situ quantum control that leveragesrecent advances in the direct estimation of quantum gate fidelity. Ouralgorithm takes account of the stochasticity of the problem and is suitable forclosed-loop control and requires only a constant number of fidelity estimatingexperiments per iteration independent of the dimension of the control space. Itis efficient and robust to both statistical and technical noise.
Firrisa, MT, van Duren, I & Voinov, A 2014, 'Energy efficiency for rapeseed biodiesel production in different farming systems', Energy Efficiency, vol. 7, no. 1, pp. 79-95.
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Fitch, R, Stoy, K, Kernbach, S, Nagpal, R & Shen, W-M 2014, 'Reconfigurable modular robotics', ROBOTICS AND AUTONOMOUS SYSTEMS, vol. 62, no. 7, pp. 943-944.
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Fong, S, Deb, S, Yang, X-S & Li, J 2014, 'Feature Selection in Life Science Classification: Metaheuristic Swarm Search', IT Professional, vol. 16, no. 4, pp. 24-29.
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Forsythe, P & Ding, G 2014, 'Greenhouse Gas Emissions from Excavation on Residential Construction Sites', Construction Economics and Building, vol. 14, no. 4, pp. 1-10.
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Despite considerable research concerning the manifestation of greenhouse gases in the usage of buildings, little has been done concerning emissions arising from the construction process itself. This paper specifically examines emissions arising from cut and fill excavation on residential construction sites. Even though such excavation is often seen as being economical in terms of providing a flat base for concrete raft slab construction, the environmental consequences of this approach need to be considered more fully in terms of impact on the environment. This is particularly important when steeply sloping sites are involved and for different soil types. The paper undertakes a study that quantitatively assesses the cumulative greenhouse gas emissions caused by cut and fill excavation on 52 residential projects in Australia for a range of slope and soil types. The paper presents results from the study and concludes that greenhouse gas emissions increase as site slope increases; the building footprint area (as distinct from Gross Floor Area), exposes the need to reduce the area of the building to reduce greenhouse gas emissions; excavation of rock soils creates higher emissions than other soil types; and cut and fill excavation on steeply slope sites increase emissions. Potential alternative construction includes suspended floor construction systems which involve less excavation.
Frawley, JK & Dyson, LE 2014, 'mStories: exploring semiotics and praxis of user-generated mobile stories', SOCIAL SEMIOTICS, vol. 24, no. 5, pp. 561-581.
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Innovations in information and communication technologies have allowed people to actively author multimodal content and engage in new meaning-making practices. New Literacies research has gone some way to understanding new meaning-making behaviours. However, this research often derives its understandings from studies undertaken with students enrolled in formal educational settings. Mobile technologies are increasingly situated outside such domains; the informal use of these devices by adults remains on the periphery of scholarly focus. mStories is a creative participatory digital mobile storytelling project. Taking a multidimensional perspective, this article presents the in-depth case analysis of one participant and their mStory. A semiotic analysis found that the user-generated content demonstrated complex and sophisticated multimodal sense relations. However, control over the textual or compositional meta-function of the text was determined largely by the computer interface, with users habituated to relinquishing authorial control over this element. Within this study, mobile literacy praxis was characteristically ad hoc and contextually embedded, and though mobile technology invites such practices, users were neither determined nor limited by this, and happily turned to other devices where necessary.
Frederick Rose, J, Hawryszkiewycz, I & Kang, K 2014, 'When and how to facilitate the introduction of new knowledge processes in organisations', VINE, vol. 44, no. 2, pp. 210-227.
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© 2014, Emerald Group Publishing Limited. Purpose - The purpose of this paper is to present two case studies hosted between 2012 and 2013 by Woolworths Limited with recommendations to address the question of why has implementing new processes into well-established organisations proved to be problematical. Design/methodology/approach - The research framework used is a novel synthesis of actor-network theory (ANT) with Miller's living systems theory (LST). Systems at each LST level are actors in an actor-network. Higher LST-level actors punctualise lower-level actor-networks, enabling the fine-grained study of dynamic associations within the LST structure. Qualitative measures assess the collaboration's progress. Findings - Gaps were found between teams' capabilities to implement new processes and that required to meet expectations. There were three contributors to the gap: first, knowledge flow was inhibited by social network structural holes; second, a reliance on tacit knowledge made identifying training needs difficult; and third, high utilisation of experts reduced their effectiveness. Research limitations/implications - The nature of logistics means that findings need careful validation before application to other business contexts. Larger studies will benefit from computer mediation for parsing and characterising associations, and computational modelling will be required for validating scenarios that cannot be performed or repeated with human actors. Practical implications - Recommendations for early identification of new ideas that require facilitation will help organisations enhance their adaptability and maintain their competitive advantage in a changing marketplace. Originality/value - The synthesis of ANT with LST provides collaboration researchers with an adaptable framework that combines a focus on dynamic associations within the context of complex social interactions.
Fu, B, Wang, Z, Xu, G & Cao, L 2014, 'Multi-label learning based on iterative label propagation over graph', PATTERN RECOGNITION LETTERS, vol. 42, pp. 85-90.
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One key challenge in multi-label learning is how to exploit label dependency effectively, and existing methods mainly address this issue via training a prediction model for each label based on the combination of original features and the labels on which it depends on. However, the influence of label dependency might be depressed due to the significant imbalance in dimensionality of feature set and dependent label set in this way, also the dynamic interaction between labels cannot be utilized effectively. In this paper, we propose a new framework to exploit the dependencies between labels iteratively and interactively. Every label’s prediction will be updated through iterative process of propagation, other than being determined directly by a prediction model. Specifically, we utilize a graph model to encode the dependencies between labels, and employ the random-walk with restart (RWR) strategy to propagate the dependency among all labels iteratively until the predictions for all the labels converge. We validate our approach by experiments, and the results demonstrate that it yields significant improvements compared with several state-of-the-art algorithms.
Fu, Q, Wong, EHH, Kim, J, Scofield, JMP, Gurr, PA, Kentish, SE & Qiao, GG 2014, 'The effect of soft nanoparticles morphologies on thin film composite membrane performance', J. Mater. Chem. A, vol. 2, no. 42, pp. 17751-17756.
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Novel soft nanoparticles with tunable morphologies were incorporated into thin film composite membrane system for efficient CO2 capture applications.
Fujioka, T, Khan, SJ, McDonald, JA, Roux, A, Poussade, Y, Drewes, JE & Nghiem, LD 2014, 'N-nitrosamine rejection by reverse osmosis: Effects of membrane exposure to chemical cleaning reagents', Desalination, vol. 343, pp. 60-66.
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Fukumoto, T, Thomas, PS, Simon, P, Dubaj, T & Stuart, BH 2014, 'Estimation of the curing rate of acrylamide used as a consolidant in heritage sandstone conservation', JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY, vol. 116, no. 2, pp. 619-624.
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Furrer, F, Franz, T, Berta, M, Leverrier, A, Scholz, VB, Tomamichel, M & Werner, RF 2014, 'Erratum: Continuous Variable Quantum Key Distribution: Finite-Key Analysis of Composable Security Against Coherent Attacks [Phys. Rev. Lett. 109, 100502 (2012)]', Physical Review Letters, vol. 112, no. 1.
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Gaddis, EJB, Voinov, A, Seppelt, R & Rizzo, DM 2014, 'Spatial Optimization of Best Management Practices to Attain Water Quality Targets', Water Resources Management, vol. 28, no. 6, pp. 1485-1499.
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Galougahi, KK, Liu, C, Gentile, C, Kok, C, Nunez, A, Garcia, A, Fry, NAS, Davies, MJ, Hawkins, CL, Rasmussen, HH & Figtree, GA 2014, 'Glutathionylation Mediates Angiotensin II–Induced eNOS Uncoupling, Amplifying NADPH Oxidase‐Dependent Endothelial Dysfunction', Journal of the American Heart Association, vol. 3, no. 2.
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Background Glutathionylation of endothelial nitric oxide synthase ( eNOS ) “uncouples” the enzyme, switching its function from nitric oxide (NO) to O 2 •− generation. We examined whether this reversible redox modification plays a role in angiotensin II (Ang II)‐induced endothelial dysfunction. Methods and Results Ang II increased eNOS glutathionylation in cultured human umbilical vein endothelial cells (HUVECs), rabbit aorta, and human arteries in vitro. This was associated with decreased NO bioavailability and eNOS activity as well as increased O 2 •− generation. Ang II‐induced decrease in eNOS activity was mediated by glutathionylation, as shown by restoration of function by glutaredoxin‐1. Moreover, Ang II‐induced increase in O 2 •− and decrease in NO were abolished in HUVECs transiently transfected, with mutant eNOS rendered resistant to glutathionylation. Ang II effects were nicotinamide adenine dinucleotide phosphate (NADPH) oxidase dependent because preincubation with gp 91ds‐tat, an inh...
Gan, SK, Fitch, R & Sukkarieh, S 2014, 'Online decentralized information gathering with spatial-temporal constraints', AUTONOMOUS ROBOTS, vol. 37, no. 1, pp. 1-25.
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We are interested in coordinating a team of autonomous mobile sensor agents in performing a cooperative information gathering task while satisfying mission-critical spatial-temporal constraints. In particular, we present a novel set of constraint formulations that address inter-agent collisions, collisions with static obstacles, network connectivity maintenance, and temporal-coverage in a resource-efficient manner. These constraints are considered in the context of the target search problem, where the team plans trajectories that maximize the probability of target detection. We model constraints continuously along the agents' trajectories and integrate these constraint models into decentralized team planning using a computationally efficient solution method based on the Lagrangian formulation and decentralized optimization. We validate our approach in simulation with five UAVs performing search, and through hardware experiments with four indoor mobile robots. Our results demonstrate team planning with spatial-temporal constraints that preserves the performance of unconstrained information gathering and is feasible to implement with reasonable computational and communication resources. © 2014 Springer Science+Business Media New York.
Ganandran, GSB, Mahlia, TMI, Ong, HC, Rismanchi, B & Chong, WT 2014, 'Cost-Benefit Analysis and Emission Reduction of Energy Efficient Lighting at the Universiti Tenaga Nasional', The Scientific World Journal, vol. 2014, pp. 1-11.
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This paper reports the result of an investigation on the potential energy saving of the lighting systems at selected buildings of the Universiti Tenaga Nasional. The scope of this project includes evaluation of the lighting system in the Library, Admin Building, College of Engineering, College of Information Technology, Apartments, and COE Food court of the university. The main objectives of this project are to design the proper retrofit scenario and to calculate the potential electricity saving, the payback period, and the potential environmental benefits. In this survey the policy for retrofitting the old lighting system with the new energy saving LEDs starts with 10% for the first year and continues constantly for 10 years until all the lighting systems have been replaced. The result of the life cycle analysis reveals that after four years, the selected buildings will bring profit for the investment.
Ganasen, P, Khan, MR, Kalam, MA & Mahmud, MS 2014, 'Effect of visible light on catalytic hydrolysis of p-nitrophenyl palmitate by the Pseudomonas cepacia lipase immobilized on sol–gel support', Bioprocess and Biosystems Engineering, vol. 37, no. 11, pp. 2353-2359.
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Ganda, K, Nguyen, TV & Pocock, N 2014, 'Gender disparity in BMD conversion: a comparison between Lunar and Hologic densitometers', Archives of Osteoporosis, vol. 9, no. 1, pp. 1-8.
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Female-derived inter-conversion and standardised BMD equations at the lumbar spine and hip have not been validated in men. This study of 110 male subjects scanned on Hologic and Lunar densitometers demonstrates that published equations may not applicable to men at the lumbar spine. Male inter-conversion equations have also been derived.Currently, available equations for inter-manufacturer conversion of bone mineral density (BMD) and calculation of standardised BMD (sBMD) are used in both males and females, despite being derived and validated only in women. Our aim was to test the validity of the published equations in men.One hundred ten men underwent lumbar spine (L2-4), femoral neck (FN) and total hip (TH) dual X-ray absorptiometry (DXA) using Hologic and Lunar scanners. Hologic BMD was converted to Lunar using published equations derived from women for L2-4 and FN. Actual Lunar BMD (A-Lunar) was compared to converted (Lunar equivalent) Hologic BMD values (H-Lunar). sBMD was calculated separately using Hologic (sBMD-H) and Lunar BMD (sBMD-L) at L2-4, FN and TH. Conversion equations in men for Hologic to Lunar BMD were derived using Deming regression analysis.There was a strong linear correlation between Lunar and Hologic BMD at all skeletal sites. A-Lunar BMD was however significantly higher than derived H-Lunar BMD (p < 0.001) at L2-L4 (mean difference, 0.07 g/cm(2)). There was no significant difference at the FN (mean difference, 0.01 g/cm(2)). sBMD-L at the spine was significantly higher than sBMD-H (mean difference, 0.06 g/cm(2), p < 0.001), whilst there was little difference at the FN and TH (mean difference, 0.01 g/cm(2)).Published conversion equations for Lunar BMD to Hologic BMD, and formulae for lumbar spine sBMD, derived in women may not be applicable to men.
Gandomi, AH 2014, 'Interior search algorithm (ISA): A novel approach for global optimization', ISA Transactions, vol. 53, no. 4, pp. 1168-1183.
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Gandomi, AH & Yang, X-S 2014, 'Chaotic bat algorithm', Journal of Computational Science, vol. 5, no. 2, pp. 224-232.
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Gandomi, AH, Alavi, AH, Asghari, A, Niroomand, H & Nazar, AM 2014, 'An innovative approach for modeling of hysteretic energy demand in steel moment resisting frames', Neural Computing and Applications, vol. 24, no. 6, pp. 1285-1291.
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Gandomi, AH, Alavi, AH, Kazemi, S & Gandomi, M 2014, 'Formulation of shear strength of slender RC beams using gene expression programming, part I: Without shear reinforcement', Automation in Construction, vol. 42, pp. 112-121.
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Gandomi, AH, Mohammadzadeh S., D, Pérez-Ordóñez, JL & Alavi, AH 2014, 'Linear genetic programming for shear strength prediction of reinforced concrete beams without stirrups', Applied Soft Computing, vol. 19, pp. 112-120.
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A new design equation is proposed for the prediction of shear strength of reinforced concrete (RC) beams without stirrups using an innovative linear genetic programming methodology. The shear strength was formulated in terms of several effective parameters such as shear span to depth ratio, concrete cylinder strength at date of testing, amount of longitudinal reinforcement, lever arm, and maximum specified size of coarse aggregate. A comprehensive database containing 1938 experimental test results for the RC beams was gathered from the literature to develop the model. The performance and validity of the model were further tested using several criteria. An efficient strategy was considered to guarantee the generalization of the proposed design equation. For more verification, sensitivity and parametric analysis were conducted. The results indicate that the derived model is an effective tool for the estimation of the shear capacity of members without stirrups (R = 0.921). The prediction performance of the proposed model was found to be better than that of several existing buildings codes. © 2014 Elsevier B.V.
Gao, S, Chia, L-T, Tsang, IW-H & Ren, Z 2014, 'Concurrent Single-Label Image Classification and Annotation via Efficient Multi-Layer Group Sparse Coding', IEEE Transactions on Multimedia, vol. 16, no. 3, pp. 762-771.
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We present a multi-layer group sparse coding framework for concurrent single-label image classification and annotation. By leveraging the dependency between image class label and tags, we introduce a multi-layer group sparse structure of the reconstruction coefficients. Such structure fully encodes the mutual dependency between the class label, which describes image content as a whole, and tags, which describe the components of the image content. Therefore we propose a multi-layer group based tag propagation method, which combines the class label and subgroups of instances with similar tag distribution to annotate test images. To make our model more suitable for nonlinear separable features, we also extend our multi-layer group sparse coding in the Reproducing Kernel Hilbert Space (RKHS), which further improves performances of image classification and annotation. Moreover, we also integrate our multi-layer group sparse coding with kNN strategy, which greatly improves the computational efficiency. Experimental results on the LabelMe, UIUC-Sports and NUS-WIDE-Object databases show that our method outperforms the baseline methods, and achieves excellent performances in both image classification and annotation tasks. © 2014 IEEE.
Gao, X, Jiang, Z, Wei, D, Jiao, S, Chen, D, Xu, J, Zhang, X & Gong, D 2014, 'Effects of temperature and strain rate on microstructure and mechanical properties of high chromium cast iron/low carbon steel bimetal prepared by hot diffusion-compression bonding', Materials & Design, vol. 63, pp. 650-657.
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© 2014 Elsevier Ltd. The objective of this study is to develop a hot diffusion-compression bonding process for cladding low carbon steel (LCS) to high chromium cast iron (HCCI) in solid-state. The influence of temperature (950-1150°C) and strain rate (0.001-1s-1) on microstructure, hardness and bond strength of the HCCI/LCS bimetal were investigated. The interface microstructure reveals that the unbonded region can only be found for 950°C due to lack of diffusion, while the intergrowth between the constituent metals occurred at and above 1100°C. When bonding temperature increases to 1150°C, a carbide-free zone was observed near the interface on the HCCI layer, and the thickness of the zone decreases with an increase of bonding strain rate. These evolutions indicate that the bond quality was improved by raising temperature and reducing strain rate due to the increase of element diffusion. The hot compression process of the bonding treatment not only changes the carbide orientation of the HCCI, but also increases the volume fraction of Cr-carbide. Based on the microstructural examinations and mechanical tests, the optimum bonding temperature and bonding strain rate are determined to be 1150°C and 0.001s-1, respectively.
Gao, XJ, Jiang, ZY, Wei, DB, Jiao, SH & Chen, DF 2014, 'Study on Hot-Working Behavior of High Carbon Steel / Low Carbon Steel Composite Material Using Processing Map', Key Engineering Materials, vol. 622-623, pp. 330-339.
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The high carbon steel (HCS)/low carbon steel (LCS) laminated composite made by centrifugal casting technology was subjected to hot compression tests on Gleeble 3500 thermomechanical simulator in a range of temperatures (800-1100oC) and strain rates (0.02-10 s-1). The hot-working behavior of the laminate was characterised by analysing the flow stress-strain curves and constructing the processing map based on dynamic materials model via superimposing efficiency of power dissipation and flow instability maps. The safe and unsafe processing conditions were identified in the processing map which was validated by microstructural examinations. Banded microstructure and micro-shear cracks occurred in the unsafe domains were responsible for the flow instability, while dynamic recrystallisation in stable domains with high efficiency of power dissipation imparted a good workability to the laminate. The optimum hot-working parameters were determined to be: (i) 800-1050oC and 0.02-0.04 s-1, (ii) 800-1045oC and 2.5-10 s-1and (iii) 1050-1100oC and 0.02-2.5 s-1.
Gao, XJ, Jiang, ZY, Wei, DB, Jiao, SH & Han, JT 2014, 'Computational Analysis of Compressive Strain Hardening Exponents of Bimetal with Pearlitic Steel and Low Carbon Steel', Applied Mechanics and Materials, vol. 553, pp. 71-75.
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The compressive strain hardening behaviour of a novel bimetal with pearlitic steel and low carbon steel was investigated by computational analysis based on the isothermal compression tests in a wide range of deformation temperature and strain rate. The Hollomon’s equation was employed to calculate the strain hardening exponent (SHE) with the assistance of mathematical manipulation. The result shows that the logarithmic relationship between the flow stress and plastic strain of the bimetal is highly non-linear, which results in the variation of the SHE of the bimetal. This variation reflects the dynamic competition between the strain hardening and softening mechanism by the varying value of the SHE in the range of 0.4 to-0.4. Furthermore, the influences of deformation temperature and strain rate on the SHE are significant. With decreasing temperature and increasing strain rate, the strain hardening of the bimetal was enhanced, while the dynamic recrystallisation was activated under the opposite conditions with the evidence of negative SHE value.
Gao, XJ, Jiang, ZY, Wei, DB, Kosasih, BY, Jiao, SH & Chen, DF 2014, 'Dry Sliding Wear Behaviour of Full Pearlite Obtained by Cladding Low Carbon Steel to Hypoeutectoid Steel', Advanced Materials Research, vol. 1017, pp. 147-153.
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The dry sliding wear behaviour of the full pearlite in a novel bimetal consisting of low carbon steel and hypoeutectoid steel has been studied by means of pin-on-disc type wear tests at room temperature. Thermomechanical treatments were performed on the bimetallic samples to obtain different interlamellar spacings. It was found that interlamellar spacing decreased with an increase in plastic strain to a great extent initially and followed by a lower extent of decrease. This decrease not only increases the hardness and strain hardening capacity of the fully pearlitic microstructure, but also is in favor of stabilizing the friction coefficient during sliding process. The observations of wear tracks show that delamination dominated the wear process when interlamellar spacing is higher than 200 nm, while pronounced oxidational wear occurred with interlamellar spacing below 200 nm.
Gao, XJ, Jiang, ZY, Wei, DB, Li, HJ, Jiao, SH & Han, JT 2014, 'Effects of Thermomechanical Treatments on Microstructure and Mechanical Behavior of HCS/LCS Bimetal', Advanced Materials Research, vol. 922, pp. 183-188.
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A high carbon steel (HCS) and low carbon steel (LCS) bimetal was fabricated by centrifugal composite casting. Two different thermomechanical treatments (TMT1 and TMT2) were employed to improve the mechanical properties of the bimetal. TMT1 process includes 60% of overall reduction by hot compression with temperatures of 1100 and 800 oC, respectively. While TMT2 process involves 60% of overall reduction using the two-step deformation method, which is a combination of non-isothermal compression cooling from 1100 to 800 oC and isothermal compression at 800 oC. The flow stress behavior, microstructural evolution and microhardness variation were analysed. Experimental results show that both TMT processes contributed to the improvement in mechanical properties resulting from a refinement of the grain size and an increase of density of pearlitic lamella in HCS layer. However, TMT2 process gave a better efficiency and a more significance in improvement of properties with the evidence of the same overall reduction leading to a higher microhardness.
Gao, XJ, Jiang, ZY, Wei, DB, Li, HJ, Jiao, SH, Xu, J, Zhang, XM, Han, JT & Chen, DF 2014, 'Constitutive analysis for hot deformation behaviour of novel bimetal consisting of pearlitic steel and low carbon steel', Materials Science and Engineering: A, vol. 595, pp. 1-9.
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To understand the high temperature flow behaviour of a novel pearlitic steel (PS) and low carbon steel (LCS) bimetal, hot compression tests in a wide range of temperature and strain rate were conducted on a Gleeble 3500 thermo mechanical simulator, and the constitutive model was developed based on the experimental data. The measured true stress-strain curves exhibited three types of variation patterns, which are (i) a plateau type, (ii) single peak type and (iii) multi peaks type. These patterns well displayed the effects of the deformation temperature, strain rate and plastic strain on the flow behaviour of the bimetal. By incorporating the Zener-Hollomon parameter and material parameter functions of α(ε), n(ε), Q(ε) and A(ε) into Arrhenius-type constitutive equation, the flow stress values predicted by the proposed model show a good agreement with experimental results by the evidence of reproducing true stress-strain curves accurately, high value of correlation coefficient (R=0.9873) and low value of average absolute relative error (AARE=4.81%). The proposed constitutive equation can be used to realise numerical simulation and determine processing parameters during hot-working of the PS/LCS bimetal. © 2013 Elsevier B.V.
Gao, Y, Zhang, G, Lu, J & Ma, J 2014, 'A BI-LEVEL DECISION MODEL FOR CUSTOMER CHURN ANALYSIS', COMPUTATIONAL INTELLIGENCE, vol. 30, no. 3, pp. 583-599.
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This paper develops a bi-level decision model and a solution approach to optimizing service features for a company to reduce its customer churn rate. First, a bi-level decision model, together with its modeling approach, are developed to describe the gaming relationship between decision makers in a company (service provider) and its customers. Then, a practical solution approach to reaching solutions for the bi-level-modeled customer churn problem is developed. Finally, experiments and case studies are conducted to illustrate the bi-level decision model and the solution approach. © 2013 Wiley Periodicals, Inc.
Gay, V & Leijdekkers, P 2014, 'Design of emotion-aware mobile apps for autistic children', Health and Technology, vol. 4, no. 1, pp. 21-26.
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Sensor technologies and facial expression recognition are now widely used by mobile devices to sense our environment and our own physical and mental state. With these technologies today, we have the ability to sense emotions and create emotion-aware apps. One target group that would benefit from emotion-aware Apps are autistic children as they have difficulty understanding and expressing emotions and they are keen mobile device users. However, current mobile apps aimed at autistic children are not emotion-aware. This led our team to design a suite of Apps, called CaptureMyEmotion, that uses wireless sensors to capture physiological data together with facial expression recognition to provide a very personalised way to help autistic children and their carers understanding and managing their emotions. This paper describes how we designed CaptureMyEmotion and it discusses our experience while using sensors and facial expression recognition to detect emotion. It presents in more details the first App we developed for Android phone and tablets, called MyMedia. MyMedia enables children to take photos, videos or sounds, and simultaneously attach emotion data to them. The photos can then be reviewed together with a carer providing them a new way to understand emotions and discussing their daily activities.
Gentile, C, Drake, CJ, Figtree, G & Davies, MJ 2014, 'Post-Transcriptional Regulation of eNOS and SNitrosylation of Cell Cycle-Related Proteins in Human Endothelial Cells', Free Radical Biology and Medicine, vol. 76, pp. S43-S44.
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Ghanbarzadeh, R, Ghapanchi, AH & Blumenstein, M 2014, 'Application areas of multi-user virtual environments in the healthcare context.', Stud Health Technol Inform, vol. 204, pp. 38-46.
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This study conducts a systematic literature review on the application of the three-dimensional virtual worlds (3DVW) in healthcare context. During the past decade, 3DVWs have emerged as a cutting edge technology that has much to offer to the healthcare sector. Our systematic review began with an initial set of 1088 studies published from 1990 to 2013 which have used 3DVWs for the healthcare specific purposes. We found a variety of areas of application for the 3DVWs in healthcare, and categorised them into the following categories: education, treatment, evaluation, lifestyle and simulation. The presented big picture of application areas of 3DVWs in this study can be very valuable and insightful for the researchers and healthcare community.
Ghanbarzadeh, R, Ghapanchi, AH, Blumenstein, M & Talaei-Khoei, A 2014, 'A Decade of Research on the Use of Three-Dimensional Virtual Worlds in Health Care: A Systematic Literature Review', JOURNAL OF MEDICAL INTERNET RESEARCH, vol. 16, no. 2.
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Background: A three-dimensional virtual world (3DVW) is a computer-simulated electronic 3D virtual environment that users can explore, inhabit, communicate, and interact with via avatars, which are graphical representations of the users. Since the early 2000s, 3DVWs have emerged as a technology that has much to offer the health care sector. Objective: The purpose of this study was to characterize different application areas of various 3DVWs in health and medical context and categorize them into meaningful categories. Methods: This study employs a systematic literature review on the application areas of 3DVWs in health care. Our search resulted in 62 papers from five top-ranking scientific databases published from 1990 to 2013 that describe the use of 3DVWs for health care specific purposes. We noted a growth in the number of academic studies on the topic since 2006. Results: We found a wide range of application areas for 3DVWs in health care and classified them into the following six categories: academic education, professional education, treatment, evaluation, lifestyle, and modeling. The education category, including professional and academic education, contains the largest number of papers (n=34), of which 23 are related to the academic education category and 11 to the professional education category. Nine papers are allocated to treatment category, and 8 papers have contents related to evaluation. In 4 of the papers, the authors used 3DVWs for modeling, and 3 papers targeted lifestyle purposes. The results indicate that most of the research to date has focused on education in health care. We also found that most studies were undertaken in just two countries, the United States and the United Kingdom. Conclusions: 3D virtual worlds present several innovative ways to carry out a wide variety of health-related activities. The big picture of application areas of 3DVWs presented in this review could be of value and offer insights to both the health care communi...
Ghous, H, Kennedy, PJ, Ho, N & Catchpoole, DR 2014, 'Comparing Functional Visualisations of Lists of Genes using Singular Value Decomposition', Journal of Research and Practice in Information Technology, vol. 47, no. 1, pp. 47-76.
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Progress in understanding core pathways of cancer requires analysis of many genes. New insights arehampered due to the lack of tools to make sense of large lists of genes identifi ed using high throughputtechnology. Data mining, particularly visualisation that fi nds relationships between genes and the GeneOntology (GO), can assist in functional understanding. This paper addresses the question using GOannotations for functional understanding of genes. We augment genes with GO terms using two similaritymeasures: a Hop-based measure and an Information Content based measure, and visualise with SingularValue Decomposition (SVD). The results demonstrate that SVD visualisation of GO augmented genesmatches the biological understanding expected in simulated and real-life data. Diff erences are observed invisualisation of GO terms, where the information content method produces more tightly-packed clustersthan the hop-based method.
Gill, AQ 2014, 'Applying Agility and Living Service Systems Thinking to Enterprise Architecture.', Int. J. Intell. Inf. Technol., vol. 10, no. 1, pp. 1-15.
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Copyright © 2014, IGI Global. Adaptive enterprise architecture capability plays an important role in enabling complex enterprise transformations. One of the key challenges when establishing an adaptive enterprise architecture capability is identifying the enterprise context and the scope of the enterprise architecture. The objective of this paper is to develop and present an adaptive enterprise service system (AESS) conceptual model, which is a part of The Gill Framework for Adaptive Enterprise Service Systems. This model has been developed using a 'Design Research' approach. The AESS conceptual model assimilates agility, service, and living systems thinking (following multi-agent system modelling) for describing and analyzing the enterprise context and scope for establishing an adaptive enterprise architecture capability. The target audience of this AESS model driven approach includes both, enterprise architecture researchers and practitioners.
Gill, AQ 2014, 'Hybrid Adaptive Software Development Capability: An Empirical Study.', J. Softw., vol. 9, no. 10, pp. 2614-2621.
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Software intensive organisations require the integration of agility, people, process, product and tool elements for establishing a hybrid adaptive software development capability. This paper presents the results of the empirical study that has been conducted to identify the important underlying characteristics of the hybrid adaptive software development capability elements. Based on this investigation, the most critical and the least critical characteristics of the hybrid adaptive software development capability elements have been identified. The findings of this empirical study have several implications, and can be re-casted into making practical recommendations for establishing a situation-specific hybrid adaptive software development capability.
Gil-Lafuente, AM, Merigó, JM & Vizuete, E 2014, 'Analysis of luxury resort hotels by using the Fuzzy Analytic Hierarchy Process and the Fuzzy Delphi Method', Economic Research-Ekonomska Istraživanja, vol. 27, no. 1, pp. 244-266.
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Goh, EG, Xu, X & McCormick, PG 2014, 'Effect of particle size on the UV absorbance of zinc oxide nanoparticles', Scripta Materialia, vol. 78-79, pp. 49-52.
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The effect of particle size on the UV absorption of zinc oxide nanoparticles has been investigated in the size range above the quantum limit. The results show that the absorbance increases with increasing size for particle sizes of 15-40 nm. The results are evaluated in terms of intrinsic particle absorption and the number concentration of particles. It is shown that the particles become opaque for particle sizes greater than 70 nm. For larger sizes the absorbance decreases with increasing size due to the decrease in particle concentration. © 2014 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.
Golsteijn, C, van den Hoven, E, Frohlich, D & Sellen, A 2014, 'Hybrid crafting: towards an integrated practice of crafting with physical and digital components', PERSONAL AND UBIQUITOUS COMPUTING, vol. 18, no. 3, pp. 593-611.
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With current digital technologies, people have large archives of digital media, such as images and audio files, but there are only limited means to include these media in creative practices of crafting and making. Nevertheless, studies have shown that crafting with digital media often makes these media more cherished and that people enjoy being creative with their digital media. This paper aims to open up the way for novel means for crafting, which include digital media in integrations with physical construction, here called 'hybrid crafting'. Notions of hybrid crafting were explored to inform the design of products or systems that may support these new crafting practices. We designed 'Materialise' a building set that allows for the inclusion of digital images and audio files in physical constructions by using tangible building blocks that can display images or play audio files, alongside a variety of other physical components-and used this set in four hands-on creative workshops to gain insight into how people go about doing hybrid crafting; whether hybrid crafting is desirable; what the characteristics of hybrid crafting are; and how we may design to support these practices. By reflecting on the findings from these workshops, we provide concrete guidelines for the design of novel hybrid crafting products or systems that address craft context, process and result. We aim to open up the design space to designing for hybrid crafting because these new practices provide interesting new challenges and opportunities for future crafting that can lead to novel forms of creative expression.
Gong, C, Fu, K, Wu, Q, Tu, E & Yang, J 2014, 'Semi-supervised classification with pairwise constraints', NEUROCOMPUTING, vol. 139, pp. 130-137.
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Graph-based semi-supervised learning has been intensively investigated for a long history. However, existing algorithms only utilize the similarity information between examples for graph construction, so their discriminative ability is rather limited. In order to overcome this limitation, this paper considers both similarity and dissimilarity constraints, and constructs a signed graph with positive and negative edge weights to improve the classification performance. Therefore, the proposed algorithm is termed as Constrained Semi-supervised Classifier (CSSC). A novel smoothness regularizer is proposed to make the 'must-linked' examples obtain similar labels, and 'cannot-linked' examples get totally different labels. Experiments on a variety of synthetic and real-world datasets demonstrate that CSSC achieves better performances than some state-of-the-art semi-supervised learning algorithms, such as Harmonic Functions, Linear Neighborhood Propagation, LapRLS, LapSVM, and Safe Semi-supervised Support Vector Machines. © 2014 Elsevier B.V.
Gong, L, Yang, Y, Chan, KY & Ramer, R 2014, 'RHCP pattern‐reconfigurable spiral antenna biased with two DC signals', Microwave and Optical Technology Letters, vol. 56, no. 7, pp. 1636-1640.
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ABSTRACTA right‐hand circularly polarized beam steering spiral antenna is presented in this article. It is designed using the standard p‐i‐n technology, enhanced with arm switches and biasing lines. The ensuing design is easily manufactured and is functionally competitive with the more complex ones, based on RF‐MEMS. Three beams, tilted 40° with respect to the spiral central axis, are generated at 3.3 GHz, suitable for WiMax systems at this frequency. These beams are directed at approximately 90°, 180°, and 270° in the azimuth space. Beam directions depend on various configurations of the seven p‐i‐n diodes added to the spiral structure. The states of the diodes are subjected to the two DC bias voltages connected to the spiral arm. The radiation performance over the 200‐MHz bandwidth (3.2–3.4 GHz) is relatively stable. Measurements in this band show the reflection coefficient below −10 dB and the axial ratio below or close to 3 dB at the peak beam directions. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:1636–1640, 2014
Goodswen, SJ, Kennedy, PJ & Ellis, JT 2014, 'Discovering a vaccine against neosporosis using computers: is it feasible?', TRENDS IN PARASITOLOGY, vol. 30, no. 8, pp. 401-411.
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Goodswen, SJ, Kennedy, PJ & Ellis, JT 2014, 'Enhancing In Silico Protein-Based Vaccine Discovery for Eukaryotic Pathogens Using Predicted Peptide-MHC Binding and Peptide Conservation Scores', PLOS ONE, vol. 9, no. 12.
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Goodswen, SJ, Kennedy, PJ & Ellis, JT 2014, 'Vacceed: a high-throughput in silico vaccine candidate discovery pipeline for eukaryotic pathogens based on reverse vaccinology', BIOINFORMATICS, vol. 30, no. 16, pp. 2381-2383.
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Summary: We present Vacceed, a highly configurable and scalable framework designed to automate the process of high-throughput in silico vaccine candidate discovery for eukaryotic pathogens. Given thousands of protein sequences from the target pathogen as input, the main output is a ranked list of protein candidates determined by a set of machine learning algorithms. Vacceed has the potential to save time and money by reducing the number of false candidates allocated for laboratory validation. Vacceed, if required, can also predict protein sequences from the pathogen's genome. © The Author 2014.
Gopinadhan, M, Deshmukh, P, Choo, Y, Majewski, PW, Bakajin, O, Elimelech, M, Kasi, RM & Osuji, CO 2014, 'Thermally Switchable Aligned Nanopores by Magnetic‐Field Directed Self‐Assembly of Block Copolymers', Advanced Materials, vol. 26, no. 30, pp. 5148-5154.
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Gray, J, Williams, J, Hagare, P, Lopes, A & Sankaran, S 2014, 'Lessons Learnt from Educating University Students through a Trans-Disciplinary Project for Sustainable Sanitation Using a Systems Approach and Problem-Based Learning', Systems, vol. 2, no. 3, pp. 243-272.
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This article discusses how a Systems Thinking (ST) approach to student learning, employing Problem-Based Learning (PBL) interventions, at several different universities in Sydney, Australia was incorporated into a broader trans-disciplinary research project, the aim of which was to examine how urine diversion in an urban, institutional setting might form the basis of phosphorus collection-0phosphorus being a non-renewable resource used in agricultural fertilizers. The article explores how the ST approach employed by the researchers themselves was adapted to embrace student engagement opportunities and how it permitted opportunities for Problem-Based Learning interventions. Five academics forming part of the research team consider the effectiveness of ST-styled student engagement via Problem-Based Learning in three action research cycles used in the research project. In sharing their experiences they provide an honest, 'no-holds barred' review of what worked and what could be done more effectively with the benefits of hindsight.
Gu, Y, Yang, Z, Xu, G, Nakano, M, Toyoda, M & Kitsuregawa, M 2014, 'Exploration on efficient similar sentences extraction', World Wide Web, vol. 17, no. 4, pp. 595-626.
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Measuring the semantic similarity between sentences is an essential issue for many applications, such as text summarization, Web page retrieval, question-answer model, image extraction, and so forth. A few studies have explored on this issue by several techniques, e.g., knowledge-based strategies, corpus-based strategies, hybrid strategies, etc. Most of these studies focus on how to improve the effectiveness of the problem. In this paper, we address the efficiency issue, i.e., for a given sentence collection, how to efficiently discover the top-k semantic similar sentences to a query. The previous methods cannot handle the big data efficiently, i.e., applying such strategies directly is time consuming because every candidate sentence needs to be tested. In this paper, we propose efficient strategies to tackle such problem based on a general framework. The basic idea is that for each similarity, we build a corresponding index in the preprocessing. Traversing these indices in the querying process can avoid to test many candidates, so as to improve the efficiency. Moreover, an optimal aggregation algorithm is introduced to assemble these similarities. Our framework is general enough that many similarity metrics can be incorporated, as will be discussed in the paper. We conduct extensive experimental evaluation on three real datasets to evaluate the efficiency of our proposal. In addition, we illustrate the trade-off between the effectiveness and efficiency. The experimental results demonstrate that the performance of our proposal outperforms the state-of-the-art techniques on efficiency while keeping the same high precision as them. © 2013 Springer Science+Business Media New York.
Guadie, A, Xia, S, Zhang, Z, Zeleke, J, Guo, W, Ngo, HH & Hermanowicz, SW 2014, 'Effect of intermittent aeration cycle on nutrient removal and microbial community in a fluidized bed reactor-membrane bioreactor combo system', BIORESOURCE TECHNOLOGY, vol. 156, pp. 195-205.
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Effect of intermittent aeration cycle (IAC = 15/4560/60 min) on nutrient removal and microbial community structure was investigated using a novel fluidized bed reactormembrane bioreactor (FBRMBR) combo system. FBR alone was found more efficient for removing PO4-P (>85%) than NH4-N (<40%) and chemical oxygen demand (COD < 35%). However, in the combo system, COD and NH4-N removals were almost complete (>98%). Efficient nitrification, stable mixed liquor suspended solid and reduced transmembrane pressure was also achieved. Quantitative real-time polymerase chain reaction results of total bacteria 16S rRNA gene copies per mL of mixed-liquor varied from (2.48 ± 0.42) × 109 initial to (2.74 ± 0.10) × 108, (6.27 ± 0.16) × 109 and (9.17 ± 1.78) × 109 for 15/45, 45/15 and 60/60 min of IACs, respectively. The results of clone library analysis revealed that Proteobacteria (59%), Firmicutes (12%) and Bacteroidetes (11%) were the dominant bacterial group in all samples. Overall, the combo system performs optimum nutrient removal and host stable microbial communities at 45/15 min of IAC.
Guertler, MR 2014, 'How to assess actors for an open: Innovation-project?', Journal of Modern Project Management, vol. 2, no. 2, pp. 56-63.
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Companies are confronted with an increasing variety of challenges such as shortened development cycles or higher demand of market orientation. One potential solution is collaboration with external partners/actors in terms of Open Innovation (OI). This allows several advantages such as the utilization of external expertise and reduced risk of market fails. However, OI itself bears 'new' risks which are often related to the choice of external actors, e.g. insufficient effort-benefit ratio or knowledge drain. So far, adequate methodical support is limited. To allow an efficient identification and selection of actors, established approaches from other fields, such as stakeholder (SH) analysis, are enhanced by OI-specific methods. This paper presents an integrated assessment approach for determining relevant actors within a previously identified pool of SH. The approach combines elements from SH-analysis and Lead-User identification, enhanced by elements from complexity management.
Guo, L, Abbosh, A & Zhu, H 2014, 'Ultra‐wideband in‐phase power divider using stepped‐impedance three‐line coupled structure and microstrip‐to‐slotline transitions', Electronics Letters, vol. 50, no. 5, pp. 383-384.
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Guo, L, Wang, G-G, H. Gandomi, A, H. Alavi, A & Duan, H 2014, 'A new improved krill herd algorithm for global numerical optimization', Neurocomputing, vol. 138, pp. 392-402.
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This study presents an improved krill herd (IKH) approach to solve global optimization problems. The main improvement pertains to the exchange of information between top krill during motion calculation process to generate better candidate solutions. Furthermore, the proposed IKH method uses a new Lévy flight distribution and elitism scheme to update the KH motion calculation. This novel meta-heuristic approach can accelerate the global convergence speed while preserving the robustness of the basic KH algorithm. Besides, the detailed implementation procedure for the IKH method is described. Several standard benchmark functions are used to verify the efficiency of IKH. Based on the results, the performance of IKH is superior to or highly competitive with the standard KH and other robust population-based optimization methods. © 2014 Elsevier B.V.
Guo, S, Guo, M, Leung, V, Yu, S & Xiang, Y 2014, 'On the Multicast Lifetime of WANETs with Multibeam Antennas: Formulation, Algorithms, and Analysis', IEEE Transactions on Computers, pp. 1-1.
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Guo, S, Guo, M, Leung, VCM, Yu, S & Xiang, Y 2014, 'On the Multicast Lifetime of WANETs with Multibeam Antennas: Formulation, Algorithms, and Analysis', IEEE Transactions on Computers, vol. 63, no. 8, pp. 1988-2001.
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Guo, Y, Zhu, J, Lu, H, Li, Y & Jin, J 2014, 'Core Loss Computation in a Permanent Magnet Transverse Flux Motor With Rotating Fluxes', IEEE Transactions on Magnetics, vol. 50, no. 11, pp. 1-4.
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© 2014 IEEE. This paper presents the core loss computation in a permanent magnet transverse flux motor (TFM) with soft magnetic composite stator core and mild steel rotor yoke, in which the magnetic fluxes rotate. The computation is based on modified core loss models and finite element magnetic field analysis [finite element analysis (FEA)]. The coefficients for the core loss models are obtained by curve-fitting measurements on samples, and the magnetic flux density patterns in the motor are obtained by time-stepping FEA while operating conditions are considered. The computations of the motor core losses agree with the measured values on the TFM prototype.
Gupta, A, Kayal, N & Qiao, Y 2014, 'Random arithmetic formulas can be reconstructed efficiently', computational complexity, vol. 23, no. 2, pp. 207-303.
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Informally stated, we present here a randomized algorithm that given black-box access to the polynomial f computed by an unknown/hidden arithmetic formula φ reconstructs, on the average, an equivalent or smaller formula φ̌ in time polynomial in the size of its output φ̌. Specifically, we consider arithmetic formulas wherein the underlying tree is a complete binary tree, the leaf nodes are labeled by affine forms (i.e., degree one polynomials) over the input variables and where the internal nodes consist of alternating layers of addition and multiplication gates. We call these alternating normal form (ANF) formulas. If a polynomial f can be computed by an arithmetic formula μ of size s, it can also be computed by an ANF formula φ, possibly of slightly larger size s O(1). Our algorithm gets as input black-box access to the output polynomial f (i.e., for any point x in the domain, it can query the black box and obtain f(x) in one step) of a random ANF formula φ of size s (wherein the coefficients of the affine forms in the leaf nodes of φ are chosen independently and uniformly at random from a large enough subset of the underlying field). With high probability (over the choice of coefficients in the leaf nodes), the algorithm efficiently (i.e., in time s O(1)) computes an ANF formula φ̌ of size s computing f. This then is the strongest model of arithmetic computation for which a reconstruction algorithm is presently known, albeit efficient in a distributional sense rather than in the worst case. © 2014 Springer Basel.
Gupta, B, Notarianni, M, Mishra, N, Shafiei, M, Iacopi, F & Motta, N 2014, 'Evolution of epitaxial graphene layers on 3C SiC/Si (1 1 1) as a function of annealing temperature in UHV', Carbon, vol. 68, pp. 563-572.
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Gurr, PA, Scofield, JMP, Kim, J, Fu, Q, Kentish, SE & Qiao, GG 2014, 'Polyimide polydimethylsiloxane triblock copolymers for thin film composite gas separation membranes', Journal of Polymer Science Part A: Polymer Chemistry, vol. 52, no. 23, pp. 3372-3382.
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ABSTRACTThis article demonstrates the successful fabrication of thin‐film‐composite (TFC) membranes containing well‐defined soft‐hard‐soft triblock copolymers. Based on “hard” polyimide (PI) and “soft” polydimethylsiloxane (PDMS), these triblock copolymers (PDMS‐b‐PI‐b‐PDMS), were prepared via condensation polymerization, and end‐group allylic functionalization to prepare the polyimide component and subsequent “click” coupling with the soft azido functionalized PDMS component. The selective layer consisted of pure PDMS‐b‐PI‐b‐PDMS copolymers which were cast onto a precast crosslinked‐PDMS gutter layer which in turn was cast onto a porous polyacrylonitrile coated substrate. The TFC membranes' gas transport properties, primarily for the separation of carbon dioxide (CO2) from nitrogen (N2), were determined at 35 °C and at a feed pressure of 2 atm. The TFC membranes showed improvements in gas permselectivity with increasing PDMS weight fraction. These results demonstrate the ability for glassy, hard polymer components to be coated onto otherwise incompatible surfaces of highly permeable soft TFC substrates through covalent coupling. © 2014 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2014, 52, 3372–3382
Habibullah, M, Masjuki, HH, Kalam, MA, Rizwanul Fattah, IM, Ashraful, AM & Mobarak, HM 2014, 'Biodiesel production and performance evaluation of coconut, palm and their combined blend with diesel in a single-cylinder diesel engine', Energy Conversion and Management, vol. 87, pp. 250-257.
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Haddad, A, Zhang, Y, Su, S, Celler, B & Nguyen, H 2014, 'Modelling and regulating of cardio-respiratory response for the enhancement of interval training', BioMedical Engineering OnLine, vol. 13, no. 1, pp. 1-14.
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Hadgraft, R & Dane, J 2014, 'Spaces for Engaging, Experiential, Collaborative Learning in Higher Education', International Perspectives on Higher Education Research, vol. 12, pp. 101-122.
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A key challenge for higher education institutions around the world is to provide active and engaging learning encounters for a new generation of students to develop their skills for work in a rapidly changing environment. Typically, these students are accustomed to being digitally connected 24/7 and they have real-time access to truly global learning resources. The challenge facing higher education providers is how to create active and engaging learning encounters within an aging stock of infrastructure by a generation of traditional academics, both of which generally foster teacher-led instruction. In considering this conundrum, this chapter is viewed through two lenses: (1) a teacher practising problem-based learning (PBL) for more than 20 years and (2) an educational planner who designs learning spaces. Together the paper explores the challenges of pedagogy and design, some disruptors that are making change imperative and, specifically, the opportunities available in both pedagogy and design to create new learning activities and spaces. The paper argues that curricula need to be dominated by collaborative investigation and problem solving in spaces that encourage and afford such activity. © 2014 by Emerald Group Publishing Limited.
Halim, A, Fu, Q, Yong, Q, Gurr, PA, Kentish, SE & Qiao, GG 2014, 'Soft polymeric nanoparticle additives for next generation gas separation membranes', Journal of Materials Chemistry A, vol. 2, no. 14, pp. 4999-4999.
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Halim, A, Reid, TD, Ren, JM, Fu, Q, Gurr, PA, Blencowe, A, Kentish, SE & Qiao, GG 2014, 'Soft nanoparticles assembled from linear poly(ethylene glycol) and linear brush polydimethylsiloxane diblock copolymers', Journal of Polymer Science Part A: Polymer Chemistry, vol. 52, no. 9, pp. 1251-1262.
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ABSTRACTA series of novel amphiphilic diblock copolymers composed of hydrophilic linear poly(ethylene glycol) (PEG) and linear brush hydrophobic polydimethylsiloxane (PDMS) were synthesized. Three different molecular weights of monomethyl ether PEG were initially functionalized with 2‐bromoisobutyryl bromide to afford macroinitiators suitable for atom‐transfer radical polymerization. The macroinitiators were characterized by gel permeation chromatography, 1H and 13C nuclear magnetic resonance spectroscopic analysis and matrix‐assisted laser desorption ionization time‐of‐flight mass spectroscopy. The three different molecular weight macroinitiators were then chain extended with monomethacryloxypropyl‐terminated PDMS and photoactive 2‐(methylacyloyloxy)ethyl anthracene‐9‐carboxylate in different molar ratios to afford a series of photoresponsive amphiphilic diblock copolymers with high conversions. Self‐assembly of these linear–linear brush diblock copolymers in N,N‐dimethylformamide afforded nanoparticles with hydrodynamic diameters (dH) ranging from 41 to 268 nm, as determined by dynamic light scattering analysis. Crosslinking and stabilization of the nanoparticles was achieved via [4+4] photodimerization of the anthracene moieties upon exposure to UV radiation at 365 nm with the reverse reaction studied at a wavelength of 254 nm. Transmission electron microscopy revealed that the self‐assembled nanoparticles and their crosslinked derivatives had spherical morphologies. © 2014 Wiley Periodicals, Inc. J. Polym. Sci., Part A: Polym. Chem. 2014, 52, 1251–1262
Halkon, BJ & Rothberg, SJ 2014, 'Angular (pitch and yaw) vibration measurements directly from rotors using laser vibrometry', Mechanical Systems and Signal Processing, vol. 46, no. 2, pp. 344-360.
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Parallel beam laser vibrometers offer direct measurement of pitch and yaw vibration directly from rotors. This paper, intended as an essential guide for the practical parallel beam laser vibrometer practioner, presents exact mathematical expressions for measured angular velocity in the presence of inevitable misalignments and estimates the likely measurement error levels due to such misalignments as well as to other sources of uncertainty through numerical simulation. Cross-sensitivity to the orthogonal vibration component, i.e. cross-sensitivity in a pitch measurement to yaw motion and vice-versa, is confirmed for rough rotors whereas it is shown not to be present when rotors are polished-circular. A complementary experimental investigation of the relationship between surface roughness and cross-sensitivity confirms the identification of two preferred measurement configurations: from the side of a polished-circular rotor and from the end face of a (rough) rotor coated in retro-reflective tape. Rotors with surface roughness up to 50 nm satisfy the former case provided the vibration displacement at the rotor surface does not exceed 20% beam diameter. For surfaces with roughness of 10 nm this can be extended to 50%. For rough rotor end face measurements, post-processing is required to resolve the inherent cross-sensitivity; the need for post-processing is justified quantitatively through numerical simulation. Further simulations incorporating typical levels of instrument misalignment and measurement noise are used to enable quantification of the likely errors in such angular vibration measurements. For measurements from the side of a polished-circular rotor, errors are around 1% for amplitude and 10 mrad at integer orders affected by pseudo-vibration and around one-third of these levels elsewhere. For measurements from a rough rotor end face, errors will be similar at integer orders (from 2). Errors in the rotational speed measurement, required for post-p...
Hamilton, TJ, Afshar, S, van Schaik, A & Tapson, J 2014, 'Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits', Proceedings of the IEEE, vol. 102, no. 5, pp. 843-859.
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As advances in integrated circuit (IC) fabrication technology reduce feature sizes to dimensions on the order of nanometers, IC designers are facing many of the problems that evolution has had to overcome in order to perform meaningful and accurate computations in biological neural circuits. In this paper, we explore the current state of IC technology including the many new and exciting opportunities 'beyond CMOS.' We review the role of noise in both biological and engineered systems and discuss how 'stochastic facilitation' can be used to perform useful and precise computation. We explore nondeterministic methodologies for computation in hardware and introduce the concept of stochastic electronics (SE); a new way to design circuits and increase performance in highly noisy and mismatched fabrication environments. This approach is illustrated with several circuit examples whose results demonstrate its exciting potential. © 2014 IEEE.
Han, Y, Wei, X, Cao, X, Yang, Y & Zhou, X 2014, 'Augmenting Image Descriptions Using <newline/>Structured Prediction Output', IEEE Transactions on Multimedia, vol. 16, no. 6, pp. 1665-1676.
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© 2014 IEEE. The need for richer descriptions of images arises in a wide spectrum of applications ranging from image understanding to image retrieval. While the Automatic Image Annotation (AIA) has been extensively studied, image descriptions with the output labels lack sufficient information. This paper proposes to augment image descriptions using structured prediction output. We define a hierarchical tree-structured semantic unit to describe images, from which we can obtain not only the class and subclass one image belongs to, but also the attributes one image has. After defining a new feature map function of structured SVM, we decompose the loss function into every node of the hierarchical tree-structured semantic unit and then predict the tree-structured semantic unit for testing images. In the experiments, we evaluate the performance of the proposed method on two open benchmark datasets and compare with the state-of-the-art methods. Experimental results show the better prediction performance of the proposed method and demonstrate the strength of augmenting image descriptions.
Han, Y, Yang, Y, Ma, Z, Shen, H, Sebe, N & Zhou, X 2014, 'Image Attribute Adaptation', IEEE Transactions on Multimedia, vol. 16, no. 4, pp. 1115-1126.
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Visual attributes can be considered as a middle-level semantic cue that bridges the gap between low-level image features and high-level object classes. Thus, attributes have the advantage of transcending specific semantic categories or describing objects across categories. Since attributes are often human-nameable and domain specific, much work constructs attribute annotations ad hoc or take them from an application-dependent ontology. To facilitate other applications with attributes, it is necessary to develop methods which can adapt a well-defined set of attributes to novel images. In this paper, we propose a framework for image attribute adaptation. The goal is to automatically adapt the knowledge of attributes from a well-defined auxiliary image set to a target image set, thus assisting in predicting appropriate attributes for target images. In the proposed framework, we use a non-linear mapping function corresponding to multiple base kernels to map each training images of both the auxiliary and the target sets to a Reproducing Kernel Hilbert Space (RKHS), where we reduce the mismatch of data distributions between auxiliary and target images. In order to make use of un-labeled images, we incorporate a semi-supervised learning process. We also introduce a robust loss function into our framework to remove the shared irrelevance and noise of training images. Experiments on two couples of auxiliary-target image sets demonstrate that the proposed framework has better performance of predicting attributes for target testing images, compared to three baselines and two state-of-the-art domain adaptation methods. © 2014 IEEE.
Han, Z, Safavi-Naeini, M, Alnaghy, S, Cutajar, DL, Guatelli, S, Petasecca, M, Franklin, DR, Malaroda, A, Carrara, M, Bucci, J, Zaider, M, Lerch, MLF & Rosenfeld, AB 2014, 'Radiation dose enhancement at tissue-tungsten interfaces in HDR brachytherapy', PHYSICS IN MEDICINE AND BIOLOGY, vol. 59, no. 21, pp. 6659-6671.
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Hanif, M, Mahlia, TMI, Zare, A, Saksahdan, TJ & Metselaar, HSC 2014, 'Potential energy savings by radiative cooling system for a building in tropical climate', Renewable and Sustainable Energy Reviews, vol. 32, pp. 642-650.
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Hasan, MA, Min Xu, Xiangjian He & Changsheng Xu 2014, 'CAMHID: Camera Motion Histogram Descriptor and Its Application to Cinematographic Shot Classification', IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 10, pp. 1682-1695.
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© 1991-2012 IEEE. In this paper, we propose a nonparametric camera motion descriptor for video shot classification. In the proposed method, a motion vector field (MVF) is constructed for each consecutive video frame by computing the motion vector (MV) of each macroblock. Then, the MVFs are divided into a number of local region of equal size. Next, the inconsistent/noisy MVs of each local region are eliminated by a motion consistency analysis. The remaining MVs of each local region from a number of consecutive frames are further collected for a compact representation. Initially, a matrix is formed using the MVs. Then, the matrix is decomposed using a singular value decomposition technique to represent the dominant motion. Finally, the angle of the most variance retaining principal component is computed and quantized to represent the motion of a local region by using a histogram. In order to represent the global camera motion, the local histograms are combined. The effectiveness of the proposed motion descriptor for video shot classification is tested by using a support vector machine. First, the proposed camera motion descriptors for video shots classification are computed on a video data set consisting of regular camera motion patterns (e.g., pan, zoom, tilt, static). Then, we apply the camera motion descriptors with an extended set of features to the classification of cinematographic shots. The experimental results show that the proposed shot level camera motion descriptor has a strong discriminative capability to classify different camera motion patterns of different videos effectively. We also show that our approach outperforms state-of-the-art methods.
Hassaballa, AA, Althuwaynee, OF & Pradhan, B 2014, 'Extraction of soil moisture from RADARSAT-1 and its role in the formation of the 6 December 2008 landslide at Bukit Antarabangsa, Kuala Lumpur', Arabian Journal of Geosciences, vol. 7, no. 7, pp. 2831-2840.
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Hau, NT, Chen, S-S, Nguyen, NC, Huang, KZ, Ngo, HH & Guo, W 2014, 'Exploration of EDTA sodium salt as novel draw solution in forward osmosis process for dewatering of high nutrient sludge', JOURNAL OF MEMBRANE SCIENCE, vol. 455, pp. 305-311.
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In this study, a hybrid forward osmosisnanofiltration (FO/NF) process was designed for dewatering high nutrient containing sludge and recovering draw solution with minimum energy as well as low fouling. A novel draw solution - EDTA sodium salt - was also systematically studied for dewatering process. Results show that using EDTA sodium salt produced higher water flux and lower reverse salt flux when compared to conventional inorganic salt (NaCl) at pH 8. The final sludge concentration reached 32,000 mg/L after 16 h of operation. Moreover, nutrient compounds in sludge were successfully removed by the FO membrane with a removal efficiency of approximately 97% of NH4-N, 90% of NO3-N, 97% of NO2-N and 99% of PO4-P, which was attributed to the multi-barrier layers of sludge forming on membrane surface and the steric effect of the FO membrane. The NF recovery of EDTA sodium salt indicated that all NF membranes performed well and TS-80 was the best among the tested membranes.
Hawryszkiewycz, IT 2014, 'Cloud Requirements for Facilitating Business Collaboration: A Modeling Perspective', Journal of Organizational Computing and Electronic Commerce, vol. 24, no. 2-3, pp. 174-185.
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This paper describes how to design systems that support large scale collaboration between enterprises on the cloud. To do this, the paper proposes an innovative modelling method for large scale collaboration. This method identifies the collaborative spaces in the collaboration. It then describes the services to be provided by cloud environments to create and support the collaborative spaces. The support includes defining knowledge flows across system boundaries in ways that support collaboration but provide privacy controls.
Hayashi, M & Tomamichel, M 2014, 'Correlation Detection and an Operational Interpretation of the Renyi Mutual Information', Journal of Mathematical Physics, vol. 57, no. 10, p. 102201.
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A variety of new measures of quantum Renyi mutual information and quantumRenyi conditional entropy have recently been proposed, and some of theirmathematical properties explored. Here, we show that the Renyi mutualinformation attains operational meaning in the context of composite hypothesistesting, when the null hypothesis is a fixed bipartite state and the alternatehypothesis consists of all product states that share one marginal with the nullhypothesis. This hypothesis testing problem occurs naturally in channel coding,where it corresponds to testing whether a state is the output of a givenquantum channel or of a 'useless' channel whose output is decoupled from theenvironment. Similarly, we establish an operational interpretation of Renyiconditional entropy by choosing an alternative hypothesis that consists ofproduct states that are maximally mixed on one system. Specialized to classicalprobability distributions, our results also establish an operationalinterpretation of Renyi mutual information and Renyi conditional entropy.
He, T, Wang, X & Ni, W 2014, 'Optimal Chunk-Based Resource Allocation for OFDMA Systems With Multiple BER Requirements', IEEE Transactions on Vehicular Technology, vol. 63, no. 9, pp. 4292-4301.
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He, W, Xu, G & Kruck, SE 2014, 'Online is education for the 21st century', Journal of Information Systems Education, vol. 25, no. 2, pp. 101-105.
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Online teaching and learning have become increasingly common in higher educational institutions. These higher educational institutions realize the growing importance of online learning in information systems/information technology (IS/IT) education and are now offering online IS/IT courses and programs to students. However, designing, developing, teaching, and assessing an online IS/IT course effectively is often a challenge. Many IS/IT instructors are new to online teaching and need orientation and training for their own readiness in designing, developing, teaching, and assessing IS/IT courses in the online environment. It is recognized that effective faculty are key to student success in online courses and to the success of online programs (Meyer and Jones, 2012). Therefore, it is imperative that administrators and instructors of IS/IT courses and programs learn more of the best practices of online teaching for high student success. This support to instructors and administrators is the purpose of the Special Issue of the Journal of Information Systems Education.
He, X, Chomsiri, T, Nanda, P & Tan, Z 2014, 'Improving cloud network security using the Tree-Rule firewall', FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF GRID COMPUTING AND ESCIENCE, vol. 30, pp. 116-126.
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He, X, Zhu, X, Duan, L, Sun, Y & Ma, C 2014, 'A 14-mW PLL-Less Receiver in 0.18- <inline-formula> <tex-math notation='TeX'>$\mu\hbox{m}$</tex-math></inline-formula> CMOS for Chinese Electronic Toll Collection Standard', IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 61, no. 10, pp. 763-767.
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Heitor, A, Indraratna, B & Rujikiatkamjorn, C 2014, 'Assessment of the post-compaction characteristics of a siltysand', Australian Geomechanics Journal, vol. 49, no. 4, pp. 125-131.
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Conventional field compaction control methods are effective at the time of placement. However, the discrete nature of these measurements and a limited depth of investigation can render them unsuitable for post-construction compaction quality assessments of deeper fills or larger surface areas. In this situation, classical destructive geotechnical surveys (i.e. boreholes, cone penetration tests) are sought to evaluate the current fill conditions. Nevertheless, these methods often do not provide the required level of information because only certain locations are tested and they have tremendous implications in terms of cost. The use of available non-destructive methodologies, such as shear wave velocity surveys (i.e. SASW, spectral analysis of surface waves or HVSR, horizontal-to-vertical spectral ratio) together with electrical resistivity tomography surveys (e.g. evaluation of water content), offers a valuable alternative to efficiently control compaction over large areas during post-construction stages and locate areas within the existing formations where the soil was not sufficiently compacted. This study explores the performance of a cost effective method for evaluating the characteristics of compacted fills by measuring the shear wave velocity and matric suction to evaluate the void ratio or dry density of compacted soil. Laboratory studies of compacted specimens were used to evaluate this method and their performance under different isotropic confining pressures. The results showed that the shear wave velocity and matric suction can effectively predict how the soil is compacted, but its success requires field measurements of both shear wave velocity and matric suction. The application of this relationship would enable practitioners to efficiently control compaction over large areas during post-construction stages, and locate areas within the existing formations where the soil was not sufficiently compacted.
Hentschke, C, Formoso, C, Rocha, C & Echeveste, M 2014, 'A Method for Proposing Valued-Adding Attributes in Customized Housing', Sustainability, vol. 6, no. 12, pp. 9244-9267.
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Ho, DP, Ngo, HH & Guo, W 2014, 'A mini review on renewable sources for biofuel', BIORESOURCE TECHNOLOGY, vol. 169, pp. 742-749.
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Rapid growth in both global energy demand and carbon dioxide emissions associated with the use of fossil fuels has driven the search for alternative sources which are renewable and have a lower environmental impact. This paper reviews the availability and bioenergy potentials of the current biomass feedstocks. These include (i) food crops such as sugarcane, corn and vegetable oils, classified as the first generation feedstocks, and (ii) lignocellulosic biomass derived from agricultural and forestry residues and municipal waste, as second generation feedstocks. The environmental and socioeconomic limitations of the first generation feedstocks have placed greater emphasis on the lignocellulosic biomass, of which the conversion technologies still faces major constraints to full commercial deployment. Key technical challenges and opportunities of the lignocellulosic biomass-to-bioenergy production are discussed in comparison with the first generation technologies. The potential of the emerging third generation biofuel from algal biomass is also reviewed. © 2014 Elsevier Ltd.
Ho, L, Fatahi, B & Khabbaz, H 2014, 'Analytical solution for one-dimensional consolidation of unsaturated soils using eigenfunction expansion method', INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, vol. 38, no. 10, pp. 1058-1077.
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This paper introduces an exact analytical solution for governing flow equations for one-dimensional consolidation in unsaturated soil stratum using the techniques of eigenfunction expansion and Laplace transformation. The homogeneous boundary conditions adopted in this study are as follows: (i) a one-way drainage system of homogenous soils, in which the top surface is considered as permeable to air and water, whereas the base is an impervious bedrock; and (ii) a two-way drainage system where both soil ends allow free dissipation of pore-air and pore-water pressures. In addition, the analytical development adopts initial conditions capturing both uniform and linear distributions of the initial excess pore pressures within the soil stratum. Eigenfunctions and eigenvalues are parts of the general solution and can be obtained based on the proposed boundary conditions. Besides, the Laplace transform method is adopted to solve the first-order differential equations. Once equations with transformed domain are all obtained, the final solutions, which are proposed to be functions of time and depth, can be achieved by taking an inverse Laplace transform. To verify the proposed solution, two worked examples are provided to present the consolidation characteristics of unsaturated soils based on the proposed method. The validation of the recent results against other existing analytical solutions is graphically demonstrated. © 2013 John Wiley & Sons, Ltd.
Hoang, DT, Niyato, D, Wang, P & Kim, DI 2014, 'Opportunistic Channel Access and RF Energy Harvesting in Cognitive Radio Networks', IEEE Journal on Selected Areas in Communications, vol. 32, no. 11, pp. 2039-2052.
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Radio frequency (RF) energy harvesting is a promising technique to sustain operations of wireless networks. In a cognitive radio network, a secondary user can be equipped with RF energy harvesting capability. In this paper, we consider such a network where the secondary user can perform channel access to transmit a packet or to harvest RF energy when the selected channel is idle or occupied by the primary user, respectively. We present an optimization formulation to obtain the channel access policy for the secondary user to maximize its throughput. Both the case that the secondary user knows the current state of the channels and the case that the secondary knows the idle channel probabilities of channels in advance are considered. However, the optimization requires model parameters (e.g., the probability of successful packet transmission, the probability of successful RF energy harvesting, and the probability of channel to be idle) to obtain the policy. To obviate such a requirement, we apply an online learning algorithm that can observe the environment and adapt the channel access action accordingly without any a prior knowledge about the model parameters. We evaluate both the efficiency and convergence of the learning algorithm. The numerical results show that the policy obtained from the learning algorithm can achieve the performance in terms of throughput close to that obtained from the optimization.
Hokmabadi, AS, Fatahi, B & Samali, B 2014, 'Assessment of soil-pile-structure interaction influencing seismic response of mid-rise buildings sitting on floating pile foundations', COMPUTERS AND GEOTECHNICS, vol. 55, no. 1, pp. 172-186.
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The role of the seismic soil-pile-structure interaction (SSPSI) is usually considered beneficial to the structural system under seismic loading since it lengthens the lateral fundamental period and leads to higher damping of the system in comparison with the fixed-base assumption. Lessons learned from recent earthquakes show that fixed-base assumption could be misleading, and neglecting the influence of SSPSI could lead to unsafe design particularly for structures founded on soft soils. In this study, in order to better understand the SSPSI phenomena, a series of shaking table tests have been conducted for three different cases, namely: (i) fixed-base structure representing the situation excluding the soil-structure interaction; (ii) structure supported by shallow foundation on soft soil; and (iii) structure supported by floating (frictional) pile foundation in soft soil. A laminar soil container has been designed and constructed to simulate the free field soil response by minimising boundary effects during shaking table tests. In addition, a fully nonlinear three dimensional numerical model employing FLAC3D has been adopted to perform time-history analysis on the mentioned three cases. The numerical model adopts hysteretic damping algorithm representing the variation of the shear modulus and damping ratio of the soil with the cyclic shear strain capturing the energy absorbing characteristics of the soil. Results are presented in terms of the structural response parameters most significant for the damage such as foundation rocking, base shear, floor deformation, and inter-storey drifts. Comparison of the numerical predictions and the experimental data shows a good agreement confirming the reliability of the numerical model. Both experimental and numerical results indicate that soil-structure interaction amplifies the lateral deflections and inter-storey drifts of the structures supported by floating pile foundations in comparison to the fixed base struc...
Holloway, RW, Regnery, J, Nghiem, LD & Cath, TY 2014, 'Removal of Trace Organic Chemicals and Performance of a Novel Hybrid Ultrafiltration-Osmotic Membrane Bioreactor', Environmental Science & Technology, vol. 48, no. 18, pp. 10859-10868.
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Ho-Pham, LT, Lai, TQ, Mai, LD, Doan, MC, Pham, HN & Nguyen, TV 2014, 'Prevalence of Radiographic Osteoarthritis of the Knee and Its Relationship to Self-Reported Pain', PLoS ONE, vol. 9, no. 4, pp. e94563-e94563.
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Background and Aim: Osteoarthritis (OA) of the knee is one of the most common skeletal disorders, yet little data are available in Asian populations. We sought to assess the prevalence and pattern of radiographic OA of the knee, and its relationship to s
Hossain, MA, Ngo, HH, Guo, W, Zhang, J & Liang, S 2014, 'A laboratory study using maple leaves as a biosorbent for lead removal from aqueous solutions', WATER QUALITY RESEARCH JOURNAL OF CANADA, vol. 49, no. 3, pp. 195-209.
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This study tested the ability of maple leaf powder (MLP) to reduce the level of Pb(II) ions in aqueous solutions. As a biosorbent, MLP has a larger specific surface area (10.94 m2/g) and contains Pb(II) binding functional groups. The highest Pb(II) removals were achieved at pH of 6.2, particle size of less than 75 µm, dose of 0.5 g, initial concentration of 10 mg/l and equilibrium time of >15 minutes. Thermodynamic results indicated that the Pb(II) adsorption process was spontaneous and exothermic. MLP biosorbent could be reused for five cycles after successfully recovery by 0.1N H2SO4. Both adsorption and desorption data fit well with Langmuir and Sips isotherm models (R2 0.9611.00). The Pb(II) adsorption and desorption capacities (qm) of MLP were up to 50.27 mg/g and 40.06 mg/g, respectively, for a 1 g dose at room temperature. Kinetics processes were rate controlling step and showed good fitness with the pseudo-second order and intraparticle diffusion models. Results suggest that multiple mechanisms (chelating bond, physisorption and chemisorption) are involved to adsorb the Pb(II) ions on to MLP. Higher Pb(II) removal revealed the practical applicability of MLP in water and wastewater treatment systems.
Hossain, MA, Ngo, HH, Guo, WS, Nghiem, LD, Hai, FI, Vigneswaran, S & Nguyen, TV 2014, 'Competitive adsorption of metals on cabbage waste from multi-metal solutions', BIORESOURCE TECHNOLOGY, vol. 160, pp. 79-88.
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This study assessed the adsorption capacity of the agro-waste 'cabbage' as a biosorbent in single, binary, ternary and quaternary sorption systems with Cu(II), Pb(II), Zn(II) and Cd(II) ions. Dried and ground powder of cabbage waste (CW) was used for the sorption of metals ions. Carboxylic, hydroxyl, and amine groups in cabbage waste were found to be the key functional groups for metal sorption. The adsorption isotherms obtained could be well fitted to both the mono- and multi-metal models. In the competitive adsorption systems, cabbage waste adsorbed larger amount of Pb(II) than the other three metals. However, the presence of the competing ions suppressed the sorption of the target metal ions. Except the case of binary system of Cd(II)-Zn(II) and Cd(II)-Cu(II), there was a linear inverse dependency between the sorption capacities and number of different types of competitive metal ions. © 2013 Elsevier Ltd.
Hossain, MA, Ngo, HH, Guo, WS, Nguyen, TV & Vigneswaran, S 2014, 'Performance of cabbage and cauliflower wastes for heavy metals removal', DESALINATION AND WATER TREATMENT, vol. 52, no. 4-6, pp. 844-860.
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From this study, the cabbage and cauliflower, a well-known agro-waste were used as biosorbents for removing toxic lead(II) and cadmium(II) from water. A batch of experiments for both biosorbents indicated that the lead(II) and cadmium(II) sorption depended on pH (5.0-6.5), doses of biosorbents (3-8 g/L) and contact time (15-45 min). The adsorption processes were fast, and equilibrium time was reached at 45 and 15 min for lead(II) and 45 and 30 min for cadmium(II) adsorption onto cabbage and cauliflower biosorbents, respectively. Both biosorbents showed higher preferences for lead(II) than cadmium(II) towards adsorption from a binary solution. Langmuir model was the best-predicted model, but three-parameter models (Redlich-Peterson, Koble Corrigan, Khan and SIPS) were shown good fitness with equilibrium data, and the adsorption coefficients indicate favourable adsorption. The maximum monolayer capacities for lead(II) were 60.57 and 47.63 mg/g onto cabbage and cauliflower biosorbents, respectively, which is higher than cadmium(II) adsorption (20.57 and 21.32 mg/g). Adsorption kinetic was multi-order and steps as it is followed the pseudo-second order and Avrami model. As a low-cost adsorbent, cabbage and cauliflower biosorbents could be preferable for the removal of heavy metals from water and wastewaters. © 2013 © 2013 Balaban Desalination Publications. All rights reserved.
Hossain, MJ, Mahmud, MA, Pota, HR & Mithulananthan, N 2014, 'Design of Non-Interacting Controllers for PV Systems in Distribution Networks', IEEE Transactions on Power Systems, vol. 29, no. 6, pp. 2763-2774.
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How, HG, Masjuki, HH, Kalam, MA & Teoh, YH 2014, 'Engine Performance, Emission and Combustion Characteristics of a Common-rail Diesel Engine Fuelled with Bioethanol as a Fuel Additive in Coconut Oil Biodiesel Blends', Energy Procedia, vol. 61, pp. 1655-1659.
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Howsawi, E 2014, 'The Use of Video Data in Project Management Research', Science Journal of Business and Management, vol. 2, no. 1, pp. 10-10.
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Abstract In project management research, on site involvement is recognized as being effective practice for getting primary data, understanding the project tasks being examined and gaining context awareness. However, it is impossible for investigators to be present on site for every project they intend to investigate since project can be difficult to access, or may be undisclosed during the implementation stage, or may have been completed a long time ago. Reading the project reports and documents will provide a substantial amount of information, but there is always more to any project than written information alone; project practitioners are well aware of this fact. Advancements in technology since the beginning of the 20th century enable the film making of projects; possibly the main purpose of that film making is to produce documentaries. Based on the facts that the camera can capture a wealth of details and rich complexity that it is impossible or very difficult to capture by other means and the eye and ear can acquire a great deal of information that it is practically impossible to write simultaneously a question arises, can the use of video data be beneficial in project management research? This article reports the experience of the authors in employing video data in historic project management research. In researching British aviation projects during the period of the Second World War the authors uses the approach of content analysis to examine more than 250 hours of video data. A classification scheme of video data is presented in this paper. The advantages of and suggestions managing the usage of video are data also shown in this paper, in addition to caution concerning what may influence the effective usage of video data.
Howsawi, E, Eager, D, Bagia, R & Niebecker, K 2014, 'The four-level project success framework: application and assessment', Organisational Project Management, vol. 1, no. 1, pp. 1-1.
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Success is one of the ultimate goals of any project endeavour. Thus, clarifying the meaning of success is a vital step in achieving the desired success. In this study, the authors reviewed the project success literature and provided a framework for defining and evaluating project success. The framework consists of four levels that contain the possible criteria for assessing and evaluating success. The authors demonstrate the framework by case application. Further, experts in the field of project management conducted an external evaluation of the framework to assess its merits.
Howsawi, EM, Eager, DM, Bagia, R & Niebecker, KD 2014, 'Delivering a Mega Construction Project Successfully During a National Crisis: Lessons Learned From The Aswan High Dam Construction Project', International Review of Management and Business Research, vol. 3, no. 2, pp. 625-647.
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Abstract Project success is a key topic in project management research. This study contributes to this topic by presenting how projects succeed during difficult circumstances of national crises. The occurrence of a crisis leads to the emergence of new dynamics and constraints that affect projects. Success strategies pursued then are different from those employed during peacetime. This research takes the Aswan High Dam project in Egypt in the 1960s as a case study and reveals four strategies supporting ten success factors that helped that project to succeed during a period of national crises. Links to contemporary projects are presented, together with recommendations to enhance the understanding and likelihood of successful project delivery during a national crisis period.
Howsawi, EM, Eager, DM, Bagia, R & Niebecker, KD 2014, 'Project Management During National Crisis: Concept Development', International Review of Management and Business Research, vol. 3, no. 1, pp. 412-422.
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Abstract National crises such as wars, economic crises and natural disasters are increasing in number and frequency worldwide. The context of a national crisis is unique and contains many abnormal challenges. Despite these challenges, projects are being commenced and executed during these events. Due to the abnormality of a national crisis context, the authors attempted, in this theoretical work, to propose the concept of project management during national crisis. Through literature synthesis and the content analysis of several data sets, the authors proposed a definition of the concept of crisis project management. This includes points of differences from peacetime project management and the common characteristics of a national crisis, with impact on project management processes. The authors discussed the results and provided some suggestions for further research.
Howsawi, EM, Eager, DM, Bagia, R & Niebecker, KD 2014, 'Success Strategies For Project Management During National Crises: Insights From The British Aviation Industry During World War Two', International Review of Management and Business Research, vol. 3, no. 1, pp. 533-556.
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Abstract Success is a fundamental imperative in the field of project management. The authors contributed to the theme of success by exploring the strategies that assisted in the delivery of successful projects during national crises. The occurrence of these crises stimulates the emergence of different dynamics and constraints that affect every aspect of the socioeconomic system, including projects. The success strategies needed in such contexts are different from those employed during times of peace. This paper reported the results of an introspective study of 24 British aviation projects undertaken during World War Two. The authors revealed six effective strategies that support the delivery of successful projects during a national crisis period. The authors discussed the results and made Links to contemporary projects together with practical recommendations that will enhance the understanding of successful project delivery during national crises.
Hu, Z, Yuan, X, Rao, K, Zheng, Z & Hu, S 2014, 'National trend in congenital heart disease mortality in China during 2003 to 2010: A population-based study', The Journal of Thoracic and Cardiovascular Surgery, vol. 148, no. 2, pp. 596-602.e1.
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Huang, C-S, Lin, C-L, Ko, L-W, Liu, S-Y, Su, T-P & Lin, C-T 2014, 'Knowledge-based identification of sleep stages based on two forehead electroencephalogram channels', Frontiers in Neuroscience, vol. 8, no. SEP, pp. 1-12.
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© 2014 Huang, Lin, Ko, Liu, Su and Lin. Sleep quality is important, especially given the considerable number of sleep-related pathologies. The distribution of sleep stages is a highly effective and objective way of quantifying sleep quality. As a standard multi-channel recording used in the study of sleep, polysomnography (PSG) is a widely used diagnostic scheme in sleep medicine. However, the standard process of sleep clinical test, including PSG recording and manual scoring, is complex, uncomfortable, and time-consuming. This process is difficult to implement when taking the whole PSG measurements at home for general healthcare purposes. This work presents a novel sleep stage classification system, based on features from the two forehead EEG channels FP1 and FP2. By recording EEG from forehead, where there is no hair, the proposed system can monitor physiological changes during sleep in a more practical way than previous systems. Through a headband or self-adhesive technology, the necessary sensors can be applied easily by users at home. Analysis results demonstrate that classification performance of the proposed system overcomes the individual differences between different participants in terms of automatically classifying sleep stages. Additionally, the proposed sleep stage classification system can identify kernel sleep features extracted from forehead EEG, which are closely related with sleep clinician's expert knowledge. Moreover, forehead EEG features are classified into five sleep stages by using the relevance vector machine. In a leave-one-subject-out cross validation analysis, we found our system to correctly classify five sleep stages at an average accuracy of 76.7 ± 4.0 (SD) % [average kappa 0.68 ± 0.06 (SD)]. Importantly, the proposed sleep stage classification system using forehead EEG features is a viable alternative for measuring EEG signals at home easily and conveniently to evaluate sleep quality reliably, ultimately improving public healthcare.
Huang, L, Zhang, Y, Guo, Y, Zhu, D & Porter, AL 2014, 'Four dimensional Science and Technology planning: A new approach based on bibliometrics and technology roadmapping', Technological Forecasting and Social Change, vol. 81, pp. 39-48.
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Huang, W, Sloan, SW & Sheng, D 2014, 'Analysis of plane Couette shear test of granular media in a Cosserat continuum approach', Mechanics of Materials, vol. 69, no. 1, pp. 106-115.
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Huang, Y, Huang, S, Deng, P, Huang, R & Hong, G 2014, 'The Effect of Fuel Temperature on the Ethanol Direct Injection Spray Characteristics of a Multi-hole Injector', SAE International Journal of Fuels and Lubricants, vol. 7, no. 3, pp. 792-802.
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Copyright © 2014 SAE International. Ethanol direct injection (EDI) is a new technology to use ethanol fuel more efficiently in spark ignition engines. Fuel temperature is one of the key factors which determine the evaporation process of liquid fuel spray, and consequently influence the combustion and emission generation of the engine. To better understand the mixture formation process of the EDI spray and provide experimental data for engine modelling, experiments were conducted in a constant volume chamber in engine-like conditions. The high speed Shadowgraphy imaging technique was used to capture the ethanol spray behaviours. The experiments covered a wide range of fuel temperature, ranged from 275 K (non-evaporating) to 400 K (flash-boiling). Particularly the transition of the ethanol spray from normal-evaporating to flash-boiling was investigated. The temporal Shadowgraphy spray images, spray tip penetration, angle and projected area were applied to evaluate the evaporation of EDI spray under different fuel temperature conditions. The results showed that the non-evaporating spray's characteristics were similar to the normal-evaporating sprays' in terms of spray tip penetration, angle and projected area. When the fuel temperature increased from 350 K to flash-boiling spray, the spray angle and projected area reduced significantly, but the spray tip penetration increased. Increasing the fuel temperature from 275 K to 325 K did not cause significant increase of the evaporating rate, but with further increase of the fuel temperature, the ethanol spray's evaporation became faster. The transition temperature at which the ethanol spray collapsed at atmospheric pressure was between 355 K and 360 K.
Imtenan, S, Varman, M, Masjuki, HH, Kalam, MA, Sajjad, H, Arbab, MI & Rizwanul Fattah, IM 2014, 'Impact of low temperature combustion attaining strategies on diesel engine emissions for diesel and biodiesels: A review', Energy Conversion and Management, vol. 80, pp. 329-356.
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Indraratna, B & Rujikiatkamjorn, C 2014, 'Geotechnical Engineering Journal of the Southeast Asian Geotechnical Society & Association of Geotechnical Societies in Southeast Asia PREFACE', GEOTECHNICAL ENGINEERING, vol. 45, no. 1.
Indraratna, B & Rujikiatkamjorn, C 2014, 'Preface', Geotechnical Engineering, vol. 45, no. 1.
Indraratna, B & Vinod, JS 2014, 'Editorial', Proceedings of the Institution of Civil Engineers - Ground Improvement, vol. 167, no. 1, pp. 1-1.
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Indraratna, B, Kianfar, K, Rujikiatkamjorn, C & Perera, D 2014, 'Soft clay properties for non-Darcian radial drainage with vacuum preloading, based on Rowe cell testing', Australian Geomechanics Journal, vol. 49, no. 4, pp. 183-190.
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Application of vacuum pressure with prefabricated vertical drains in soft clays is a popular and effective ground improvement method. Application of vacuum pressure via vertical drains generates a negative excess pore water pressure (PWP) resulting in an immediate increase in effective stress. This paper summarises the recent advancements in vacuum preloading based on laboratory studies, using the conventional and modified Rowe cells. Location and the magnitude of the average PWP and degree of consolidation during vacuum preloading are investigated. Based on the laboratory experiments a new radial consolidation model is proposed for vacuum preloading incorporating non-Darcian flow.
Indraratna, B, Navaratnarajah, SK, Nimbalkar, S & Rujikiatkamjorn, C 2014, 'Use of shock mats for enhanced stability of railroad track foundation', Australian Geomechanics Journal, vol. 49, no. 4, pp. 101-111.
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Increasing demand for High Speed Rail (HSR) and fast heavy haul poses a serious challenge for stability of tracks on problematic ground. Ballast is a key track foundation material placed underneath the sleepers which provides structural support against high cyclic and impact stresses caused by moving trains. Degradation of ballast contributes to a large percentage of track maintenance costs apart from affecting longevity and stability. In recent years, use of elastometric soft pads underneath sleepers has become increasingly popular as means of reducing track damage. The 'shock mat' placed under the sleeper is traditionally called Under Sleeper Pad (USP), and when it is placed under ballast, the term Under Ballast Mat (UBM) is often used. Currently there is lack of comprehensive assessment on the geotechnical behaviour of ballast using these artificial inclusions under impact and cyclic loading. In this study, a series of largescale laboratory tests were conducted to understand the performance of these energy absorbing 'shock mats' in the attenuation of impact and cyclic stresses and subsequent mitigation of ballast degradation. Impact loads were simulated using a high-capacity drop-weight impact testing equipment, while the cyclic loads were simulated using a large-scale prismoidal process simulation test apparatus. This paper presents a state-of-the-art review of laboratory studies and field trials demonstrating the benefits of USPs and UBMs in rail industry.
Indraratna, B, Ngo, NT & Rujikiatkamjorn, C 2014, 'Closure to “Deformation of Coal Fouled Ballast Stabilized with Geogrid under Cyclic Load” by Buddhima Indraratna, Ngoc Trung Ngo, and Cholachat Rujikiatkamjorn', Journal of Geotechnical and Geoenvironmental Engineering, vol. 140, no. 6, pp. 07014011-07014011.
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Indraratna, B, Ngo, NT, Rujikiatkamjorn, C & Vinod, JS 2014, 'Behavior of Fresh and Fouled Railway Ballast Subjected to Direct Shear Testing: Discrete Element Simulation', International Journal of Geomechanics, vol. 14, no. 1, pp. 34-44.
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This paper presents the three-dimensional discrete element method (DEM) that was used to study the shear behavior of fresh and coal fouled ballast in direct shear testing. The volumetric changes and stress-strain behavior of fresh and fouled ballast were simulated and compared with the experimental results. Clump logic in particle flow code in three dimensions (PFC3D) incorporated in a subroutine was used to simulate irregular-shaped particles in which groups of 10-20 spherical balls were clumped together in appropriate sizes to simulate ballast particles. Fouled ballast with a various void contaminant index (VCI) ranging from 20 to 70% VCI was modeled by injecting a specified number of miniature spherical particles into the voids of fresh ballast. The DEM simulation captures the behavior of fresh and fouled ballast as observed in the laboratory, showing that the peak shear stress of the ballast assembly decreases and the dilation of fouled ballast increases with an increasing VCI. Furthermore, the DEM also provides insight to the distribution of contact force chains and particle displacement vectors, which cannot be determined experimentally. These micromechanical observations clearly justify the formation of a shear band and the evolution of volumetric changes during shearing. The reduced maximum contact force associated with increased particle contact area due to fouling explains the decreased breakage of fouled ballast. An acceptable agreement was found between the DEM model predictions and laboratory data. © 2014 American Society of Civil Engineers.
Indraratna, B, Nimbalkar, S & Neville, T 2014, 'Performance assessment of reinforced ballasted rail track', Proceedings of the Institution of Civil Engineers - Ground Improvement, vol. 167, no. 1, pp. 24-34.
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In coastal Australia, high population density and increased traffic volumes have promoted rapid expansion of urban transportation infrastructure including railways. Coastal soft clays pose significant construction challenges. Therefore, the search for innovative ground improvement techniques imperative for more resilient and sustainable transport infrastructure has become an obvious priority in research and development. Use of artificial inclusions such as polymeric geosynthetics and energy-absorbing shock mats is described in this paper as a suitable alternative for reducing unacceptable track degradation and for ensuring sustainable track alignment. An extensive monitoring programme was undertaken on fully instrumented track sections constructed near Singleton, New South Wales, Australia. Four types of geosynthetics were installed at the ballast–capping interface of track sections located on different types of subgrades. It was found that geogrids could decrease the vertical settlement of the ballast layer with the obvious benefits of improved track stability and decreased cost of maintenance. It was also found that the effectiveness of reinforcing geogrids is greater when the subgrade is soft.
Indraratna, B, Nimbalkar, S & Rujikiatkamjorn, C 2014, 'Enhancement of rail track performance through utilisation of geosynthetic inclusions', Geotechnical Engineering, vol. 45, no. 1, pp. 17-27.
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In coastal regions of Australia, high population density and increased traffic volumes have led to rapid expansion of rail transport. Use of artificial inclusions such as polymeric geosynthetics for enhanced soil-structure interaction and rubber shock mats for absorbing energy with the aim of reducing particle breakage is described in this paper as a cost-effective option. This paper highlights the results of a laboratory study on the deformation of coal fouled ballast stabilised with geogrids, at various degrees of fouling. A novel Track Process Simulation Apparatus (TPSA) was employed to reproduce realistic rail track conditions under cyclic loading, and the Void contaminant index (VCI) was used to assess the level of ballast fouling. The beneficial aspects of the geogrid inclusion are discussed in the paper. Laboratory results showed that biaxial geogrids can reduce the deformation of fresh ballast, but their effectiveness diminishes with an increase of VCI. A threshold value of VCI was proposed in view of track maintenance. Comprehensive field trials were executed on two fullscale rail tracks in the towns of Bulli and Singleton in New South Wales. These trials facilitated the evaluation of the relative performance of different types of geogrids, geocomposites and shock mats installed in fully instrumented track sections. Field trials showed that the use of recycled ballasted in rail tracks was a feasible and effective alternative. The performance of geogrids and geocomposite was found to be associated with their geometrical and mechanical properties as well as with the type of subgrade. The distributions of vertical and lateral stresses in the track were also assessed. In addition, effects of magnitude of axle load and train speed on stress distributions were studied. Copyright © 2014 Southeast Asian Geotechnical Society (SEAGS). All Rights Reserved.
Indraratna, B, Nimbalkar, S & Rujikiatkamjorn, C 2014, 'From theory to practice in track geomechanics – Australian perspective for synthetic inclusions', Transportation Geotechnics, vol. 1, no. 4, pp. 171-187.
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© 2014 Elsevier Ltd. The adoption of heavier axle loads and high speed rails have posed serious geotechnical issues with ballasted railway tracks. These issues include poor drainage of soft coastal soils, ballast degradation under cyclic and impact loads, differential settlement of track and misalignment due to lateral movements, and inadequate bearing capacity of some compacted ballast. The mechanisms of ballast degradation and deformation, the need for effective track confinement, understanding of interface behaviour, determining dynamic bearing capacity and use of energy absorbing shock mats and synthetic grids require further insight to improve the existing design guidelines for future high speed commuter and heavier freight trains. In this paper, the current state-of-the-art knowledge of rail track geomechanics is discussed, with particular emphasis on the effects of geosynthetic applications on ballast degradation, and track performance. The stress-strain response and volumetric changes of ballast stabilised with geosynthetics observed in the laboratory experiments were captured through discrete element and finite element models. Installing shock mats and geosynthetics in the track substructure led to the attenuation of high cyclic and impact forces, thereby mitigating ballast degradation. Comprehensive field studies on instrumented tracks at Bulli (near Wollongong) and Singleton (near Newcastle) supported by Sydney Trains and ARTC, were carried out to measure the in situ stresses and deformation of ballast embankments. The paper focuses primarily on research conducted at University of Wollongong for enhanced track performance, highlighting some examples of innovation from theory to practice.
Indraratna, B, Nimbalkar, S & Rujikiatkamjorn, C 2014, 'Preface', Transportation Geotechnics, vol. 1, no. 4, pp. 145-146.
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Indraratna, B, Nimbalkar, S, Coop, M & Sloan, SW 2014, 'A constitutive model for coal-fouled ballast capturing the effects of particle degradation', Computers and Geotechnics, vol. 61, pp. 96-107.
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Rail tracks undergo degradation owing to particle breakage and fouling of ballast by various fines including coal and subgrade soil. As the ballast becomes fouled, its strength and drainage capacity are compromised, sometimes resulting in differential settlement and reduced track stability. This paper demonstrates a continuum mechanics based framework to evaluate the detrimental effect of fines on the strength, deformation and degradation of coal-fouled ballast under monotonic loading. An elastoplastic constitutive model that considers the effect of fines content and energy consumption associated with particle breakage during shearing is presented. This multiphase constitutive model is developed within a critical state framework based on a kinematic-type yield locus and a modified stress-dilatancy approach. A general formulation for the rate of ballast breakage and coal particle breakage during triaxial shearing is presented and incorporated into the plastic flow rule to accurately predict the stress-strain response of coal-fouled ballast at various confining pressures. The behaviour of ballast at various levels of fouling is analysed and validated by experimental data. © 2014 Elsevier Ltd.
Indraratna, B, Pathirage, PU, Rowe, RK & Banasiak, L 2014, 'Coupled hydro-geochemical modelling of a permeable reactive barrier for treating acidic groundwater', Computers and Geotechnics, vol. 55, pp. 429-439.
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Indraratna, B, Premadasa, W, Brown, ET, Gens, A & Heitor, A 2014, 'Shear strength of rock joints influenced by compacted infill', International Journal of Rock Mechanics and Mining Sciences, vol. 70, pp. 296-307.
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Indraratna, B, Thirukumaran, S, Brown, ET, Premadasa, W & Gale, W 2014, 'A technique for three-dimensional characterisation of asperity deformation on the surface of sheared rock joints', International Journal of Rock Mechanics and Mining Sciences, vol. 70, pp. 483-495.
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Indraratna, PB & Vinod, DJS 2014, 'Editorial', Proceedings of the Institution of Civil Engineers - Ground Improvement, vol. 167, no. 3, pp. 147-148.
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Islam, M, Karim, MA, Saha, SC, Miller, S & Yarlagadda, PKDV 2014, 'Development of Empirical Equations for Irradiance Profile of a Standard Parabolic Trough Collector Using Monte Carlo Ray Tracing Technique', Advanced Materials Research, vol. 860-863, pp. 180-190.
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This article explains a technique in which equations are developed to produce the irradiance profile around the receiver of LS2 collector using a vigorouslyverified MCRT model. A large range of test conditions including daily normal insolation, selective coatings and glass envelop conditions were chosen from the published data by Dudley et al. [1] for the job. The R2 value is excellent that varies between 0.9857 and 0.9999. Therefore, these equations can be used confidently to produce boundary heat flux profile of the collector at normal incident for conjugate heat transfer analyses of the receiver.
Islam, MR, Guo, Y & Zhu, J 2014, 'A High-Frequency Link Multilevel Cascaded Medium-Voltage Converter for Direct Grid Integration of Renewable Energy Systems', IEEE Transactions on Power Electronics, vol. 29, no. 8, pp. 4167-4182.
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Recent advances in solid-state semiconductors have led to the development of medium-voltage power converters (e.g., 6-36 kV) which could obviate the need for the step-up transformers of renewable power generation systems. The modular multilevel cascaded converters have been deemed as strong contenders for the development of medium-voltage converters, but the converters require multiple isolated and balanced dc supplies. In this paper, a high-frequency link multilevel cascaded medium-voltage converter is proposed. The common high-frequency link generates multiple isolated and balanced dc supplies for the converter, which inherently minimizes the voltage imbalance and common mode issues. An 11-kV system is designed and analyzed taking into account the specified system performance, control complexity, cost, and market availability of the power semiconductors. To verify the feasibility of the proposed system, a scaled down 1.73-kVA laboratory prototype test platform with a modular five-level cascaded converter is developed and explored in this paper, which converts a 210 V dc (rectified generator voltage) into three-phase 1 kV rms 50 Hz ac. The experimental results are analyzed and discussed. It is expected that the proposed new technology will have great potential for future renewable generation systems and smart grid applications. © 2013 IEEE.
Islam, MR, Guo, Y & Zhu, J 2014, 'A Multilevel Medium-Voltage Inverter for Step-Up-Transformer-Less Grid Connection of Photovoltaic Power Plants', IEEE Journal of Photovoltaics, vol. 4, no. 3, pp. 881-889.
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Recently, medium (0.1-5 MW) and large (>5 MW) scale photovoltaic (PV) power plants have attracted great attention, where medium-voltage grid connection (typically 6-36 kV) is essential for efficient power transmission and distribution. A power frequency transformer operated at 50 or 60 Hz is generally used to step up the traditional inverter's low output voltage (usually =400 V) to the medium-voltage level. Because of the heavy weight and large size of the power frequency transformer, the PV inverter system can be expensive and complex for installation and maintenance. As an alternative approach to achieve a compact and lightweight direct grid connection, this paper proposes a three-phase medium-voltage PV inverter system. The 11-kV and 33-kV PV inverter systems are designed. A scaled down three-phase 1.2-kV test rig has been constructed to validate the proposed PV inverter. The experimental results are analyzed and discussed, taking into account the switching schemes and filter circuits. The experimental results demonstrate the excellent feature of the proposed PV inverter system.
Islam, MR, Guo, Y & Zhu, J 2014, 'A review of offshore wind turbine nacelle: Technical challenges, and research and developmental trends', Renewable and Sustainable Energy Reviews, vol. 33, pp. 161-176.
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The turbine nacelle with traditional wind power generation system is heavy, especially in offshore applications due to the large mass of the power frequency step-up-transformer operated at 50 or 60 Hz, and copper conductor generator. For example, the weight and volume of a 0.69/33 kV 2.6 MVA transformer are typically in the range of 68 t and 59 m3, respectively. The weight for a 10 MW direct drive permanent magnet generator is about 300 t. These penalties significantly increase the tower construction, and turbine installation and maintenance costs. The tower cost represents 26% of the total component cost of the turbine and on average about 20% of the capital costs are associated with installation. Typical maintenance cost of an offshore wind turbine is about 2.3 cents/kW.h, which is 20% higher than that of an onshore based turbine. As alternative approaches to achieve a compact and lightweight offshore wind turbine nacelle, different concepts have been proposed in recent years, such as step-up-transformer-less system, medium-frequency (in the range of a few kHz to MHz) power transformer-based system, multilevel and modular matrix converter-based system and superconducting generator-based system. This paper aims to review the technical challenges, current research and developmental trends, and possible future directions of the research to reduce the weight and volume of the nacelle. In addition, a comprehensive review of traditional wind power generation technologies is conducted in this article as well.
Islam, MR, Lei, G, Guo, Y & Zhu, J 2014, 'Optimal Design of High-Frequency Magnetic Links for Power Converters Used in Grid-Connected Renewable Energy Systems', IEEE Transactions on Magnetics, vol. 50, no. 11, pp. 1-4.
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Islam, MR, Youguang Guo, Jianguo Zhu, Haiyan Lu & Jian Xun Jin 2014, 'High-Frequency Magnetic-Link Medium-Voltage Converter for Superconducting Generator-Based High-Power Density Wind Generation Systems', IEEE Transactions on Applied Superconductivity, vol. 24, no. 5, pp. 1-5.
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Ismail, MF, Hasan, MN & Saha, SC 2014, 'Numerical study of turbulent fluid flow and heat transfer in lateral perforated extended surfaces', Energy, vol. 64, pp. 632-639.
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Ismail, MS, Moghavvemi, M & Mahlia, TMI 2014, 'Genetic algorithm based optimization on modeling and design of hybrid renewable energy systems', Energy Conversion and Management, vol. 85, pp. 120-130.
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Jamilan, S, Tofigh, F & Azarmanesh, MN 2014, 'A COMPACT AND MULTIBAND FRACTAL-INSPIRED PLANAR DIPOLE ANTENNA LOADED WITH SERIES CAPACITANCES AND A PARASITIC ELEMENT', Progress In Electromagnetics Research C, vol. 53, pp. 99-109.
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A novel compact and multiband dipole antenna with a planar fractal-inspired configuration is presented. Several series capacitances and a parasitic element are employed as loading. Results show that the loading improves the impedance matching and enables the proposed antenna to radiate at multiple frequency bands which are not harmonically related. In addition, the proposed loaded dipole antenna offers a high degree of miniaturization in comparing with the unloaded host dipole antenna. The simulated |S11| response of the proposed loaded dipole antenna shows five distinct resonant bands with the center resonant frequencies of 1.52 GHz, 3.62 GHz, 4.6GHz, 6.9 GHz, and 9.43GHz with the associated -10 dB bandwidths of 50MHz, 470 MHz, 170 MHz, 1.15 GHz, and 360 MHz, respectively. A fabricated prototype has compact dimensions of the 37mm × 14mm × 1.6mm, and exhibits good agreement between the measured and simulated S-parameters.
Jan, MA, Nanda, P, He, X & Liu, RP 2014, 'PASCCC: Priority-based application-specific congestion control clustering protocol', COMPUTER NETWORKS, vol. 74, no. PB, pp. 92-102.
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© 2014 Published by Elsevier B.V. All rights reserved. Wireless sensor networks comprise resource-starved sensor nodes, which are deployed to sense the environment, gather data, and transmit it to a base station (BS) for further processing. Cluster-based hierarchical-routing protocols are used to efficiently utilize the limited energy of the nodes by organizing them into clusters. Only cluster head (CH) nodes are eligible for gathering data in each cluster and transmitting it to a BS. Unbalanced clusters result in network congestion, thereby causing delay, packet loss, and degradation of Quality of Service (QoS) metrics. In this study, we propose a priority-based application-specific congestion control clustering (PASCCC) protocol, which integrates the mobility and heterogeneity of the nodes to detect congestion in a network. PASCCC decreases the duty cycle of each node by maintaining threshold levels for various applications. The transmitter of a sensor node is triggered when the reading of a specific captured event exceeds a specific threshold level. Time-critical packets are prioritized during congestion in order to maintain their timeliness requirements. In our proposed approach, CHs ensure coverage fidelity by prioritizing the packets of distant nodes over those of nearby nodes. A novel queue scheduling mechanism is proposed for CHs to achieve coverage fidelity, which ensures that the extra resources consumed by distant nodes are utilized effectively. The effectiveness of PASCCC was evaluated based on comparisons with existing clustering protocols. The experimental results demonstrated that PASCCC achieved better performance in terms of the network lifetime, energy consumption, data transmission, and other QoS metrics compared with existing approaches.
Jansen, M, van den Hoven, E & Frohlich, D 2014, 'Pearl: living media enabled by interactive photo projection', PERSONAL AND UBIQUITOUS COMPUTING, vol. 18, no. 5, pp. 1259-1275.
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People capture more and more photographs leading to large personal photo collections that require much time and effort to organize. A lack of organization can have a negative effect on photo retrieval and photo sharing. In this user-centred design case study, we have explored new possibilities for organizing and sharing photographs. To organize photographs, the concept living media was created; automatic positive selection based on which photographs are viewed more often and viewed for a longer time. These photographs are apparently more interesting, and therefore, they will keep their appearance; less popular photographs will slowly fade to black over time. To share living media away from the computer, the device Pearl was designed. Pearl has an integrated pico projector that projects an interactive collage of living media in a living room. Interaction with the collage, such as deleting unwanted photographs from the collage, gives input to the selection procedure of living media. Placing Pearl at a distance creates a larger projection size, suitable for sharing photographs with a group of people. Our design is evaluated in two small-user studies, where we found benefits and challenges of using a combination of positive selection and pico projectors for photowork and photo sharing.
Jebur, MN, Mohd Shafri, HZ, Pradhan, B & Tehrany, MS 2014, 'Per-pixel and object-oriented classification methods for mapping urban land cover extraction using SPOT 5 imagery', Geocarto International, vol. 29, no. 7, pp. 792-806.
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Jebur, MN, Pradhan, B & Tehrany, MS 2014, 'Detection of vertical slope movement in highly vegetated tropical area of Gunung pass landslide, Malaysia, using L-band InSAR technique', Geosciences Journal, vol. 18, no. 1, pp. 61-68.
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Jebur, MN, Pradhan, B & Tehrany, MS 2014, 'Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale', Remote Sensing of Environment, vol. 152, pp. 150-165.
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Jeong, S, Rice, SA & Vigneswaran, S 2014, 'Long-term effect on membrane fouling in a new membrane bioreactor as a pretreatment to seawater desalination', Bioresource Technology, vol. 165, no. C, pp. 60-68.
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© 2014 Elsevier Ltd. Submerged membrane adsorption bio-reactors (SMABR) were investigated as a new pretreatment for seawater reverse osmosis (SWRO) desalination. They were tested with different doses of powder activated carbon (PAC) on-site for a long-term. The biofouling on the membrane was assessed in terms of DNA (cells) and polysaccharide distribution. MBR without PAC addition resulted in severe fouling on membrane. When PAC is added in the MBR, PAC could reduce the organic fouling. Hence the biofilm formation on membrane was reduced without any membrane damage. PAC also helped to remove low molecular weight (LMW) organics responsible for biofouling of RO membrane. A linear correlation between assimilable organic carbon (AOC) and LMW organics was observed. A small amount of PAC (2.4-8.0g of PAC/m3 of seawater) was sufficient to reduce biofouling. It indicated that SMABR is an environmentally-friendly biological pretreatment to reduce biofouling for SWRO.
Jeong, S, Sathasivan, A, Kastl, G, Shim, WG & Vigneswaran, S 2014, 'Experimental investigation and modeling of dissolved organic carbon removal by coagulation from seawater', Chemosphere, vol. 95, pp. 310-316.
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Jeyakumar, P, Loganathan, P, Anderson, CWN, Sivakumaran, S & McLaren, RG 2014, 'Comparative tolerance of Pinus radiata and microbial activity to copper and zinc in a soil treated with metal-amended biosolids', ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, vol. 21, no. 5, pp. 3254-3263.
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A study was conducted to evaluate the effects of elevated concentrations of copper (Cu) and zinc (Zn) in a soil treated with biosolids previously spiked with these metals on Pinus radiata during a 312-day glasshouse pot trial. The total soil metal concentrations in the treatments were 16, 48, 146 and 232 mg Cu/kg or 36, 141, 430 and 668 mg Zn/kg. Increased total soil Cu concentration increased the soil solution Cu concentration (0.03-0.54 mg/L) but had no effect on leaf and root dry matter production. Increased total soil Zn concentration also increased the soil solution Zn concentration (0.9-362 mg/L). Decreased leaf and root dry matter were recorded above the total soil Zn concentration of 141 mg/kg (soil solution Zn concentration, >4.4 mg/L). A lower percentage of Cu in the soil soluble + exchangeable fraction (5-12 %) and lower Cu2+ concentration in soil solution (0.001-0.06 μM) relative to Zn (soil soluble + exchangeable fraction, 12-66 %; soil solution Zn2+ concentration, 4.5-4,419 μM) indicated lower bioavailability of Cu. Soil dehydrogenase activity decreased with every successive level of Cu and Zn applied, but the reduction was higher for Zn than for Cu addition. Dehydrogenase activity was reduced by 40 % (EC40) at the total solution-phase and solid-phase soluble + exchangeable Cu concentrations of 0.5 mg/L and 14.5 mg/kg, respectively. For Zn the corresponding EC50 were 9 mg/L and 55 mg/kg, respectively. Based on our findings, we propose that current New Zealand soil guidelines values for Cu and Zn (100 mg/kg for Cu; 300 mg/kg for Zn) should be revised downwards based on apparent toxicity to soil biological activity (Cu and Zn) and radiata pine (Zn only) at the threshold concentration. © 2013 Springer-Verlag Berlin Heidelberg.
Ji, R, Yang, Y, Sebe, N, Aizawa, K & Cao, L 2014, 'Large-Scale Geosocial Multimedia [Guest editorial]', IEEE MultiMedia, vol. 21, no. 3, pp. 7-9.
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With the advance of the Web 2.0 era came an explosive growth of geographical multimedia data shared on social network websites such as Flickr, YouTube, Facebook, and Zooomr. Location-aware media description, modeling, learning, and recommendation in pervasive social media analytics have become a key focus of the recent research in computer vision, multimedia, and signal processing societies. A new breed of multimedia applications that incorporates image/video annotation, visual search, content mining and recommendation, and so on may revolutionize the field. Combined with the popularity of location-aware social multimedia, location context data makes traditionally challenging problems more tractable. This special issue brings together active researchers to share recent progress in this exciting area. This issue highlights the latest developments in large-scale multiple evidence-based learning for geosocial multimedia computing and identifies several key challenges and potential innovations. © 2014 IEEE.
Jiang, X, Li, Y, Li, J, Wang, J & Yao, J 2014, 'Piezoelectric energy harvesting from traffic-induced pavement vibrations', JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, vol. 6, no. 4.
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This paper focuses on the development and experimental testing of a potential clean energy source for powering the remote equipment used in transportation infrastructure. Traditional power sources (i.e., power cables and batteries) are excessively expensive or infeasible in this type of application. A compression-based roadway energy harvester has been developed that can be embedded into pavement to scavenge electrical energy from traffic-induced vibrations. The proposed roadway harvester employs a group of piezoelectric harvesting units to convert traffic-induced vibrations into electrical energy, and each single harvesting unit contains three piezoelectric multilayer stacks. According to the linear theory of piezoelasticity, a two-degree-of-freedom electromechanical model of the piezoelectric harvesting unit was developed to characterize its performance in generating electrical energy under external excitations. Experimental testing in the laboratory was conducted to investigate the output power properties of the harvesting unit and shows good agreement with the theoretical analysis. Based on the testing results of the harvesting unit, the capability of the proposed roadway harvester has been theoretically evaluated and demonstrated that it has the ability to generate sufficient energy for driving common electrical equipment used in transportation infrastructure. © 2014 AIP Publishing LLC.
Jiang, X, Wang, J, Li, Y & Li, J 2014, 'Design and modelling of a novel linear electromagnetic vibration energy harvester', INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, vol. 46, no. 1, pp. 165-183.
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This paper presents the design and evaluation of a novel permanent magnet (PM) energy harvesting system for scavenging electrical energy from ambient vibrations. A two-phase tubular linear PM vibration energy harvester consisting of a mover attached with permanent magnets and a slotted stator with built-in two-phase electromagnetic coils is proposed to convert vibrational kinetic energy into electrical energy. Aiming at maximizing the efficiency of vibration-to-electrical energy conversion under designated vibration and limited space requirement, a systematic research, including innovative device design, theoretical modelling and analysis, and finite element evaluation on the PM vibration energy harvester will be presented in this paper. In addition, the methodology of winding the two-phase coils in slotted stator is explicated in order to fully utilize the harvested electrical energy. A two-phase rectifier circuit is developed to convert the alternative voltage generated by the PM harvester into DC voltage that can be used directly by the external resistive load. Simulation results indicate that the proposed linear PM vibration energy harvesting system is able to generate about 100 watt DC electrical power under the vibration with the velocity of 0.4 m/s and the output electrical power is proportional to the levels of vibration excitations.
Jiang, XZ, Li, YC, Wang, J & Li, JC 2014, 'Electromechanical modeling and experimental analysis of a compression-based piezoelectric vibration energy harvester', International Journal of Smart and Nano Materials, vol. 5, no. 3, pp. 152-168.
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Over the past few decades, wireless sensor networks have been widely used in the field of structure health monitoring of civil, mechanical, and aerospace systems. Currently, most wireless sensor networks are battery-powered and it is costly and unsustainable for maintenance because of the requirement for frequent battery replacements. As an attempt to address such issue, this article theoretically and experimentally studies a compression-based piezoelectric energy harvester using a multilayer stack configuration, which is suitable for civil infrastructure system applications where large compressive loads occur, such as heavily vehicular loading acting on pavements. In this article, we firstly present analytical and numerical modeling of the piezoelectric multilayer stack under axial compressive loading, which is based on the linear theory of piezoelectricity. A two-degree-of-freedom electromechanical model, considering both the mechanical and electrical aspects of the proposed harvester, was developed to characterize the harvested electrical power under the external electrical load. Exact closed-form expressions of the electromechanical models have been derived to analyze the mechanical and electrical properties of the proposed harvester. The theoretical analyses are validated through several experiments for a test prototype under harmonic excitations. The test results exhibit very good agreement with the analytical analyses and numerical simulations for a range of resistive loads and input excitation levels. © 2014 The Author(s).
Jiang, Z, Lu, H, Wei, D, Linghu, KZ, Zhao, X, Zhang, X & Wu, D 2014, 'Finite Element Method Analysis of Micro Cross Wedge Rolling of Metals', Procedia Engineering, vol. 81, pp. 2463-2468.
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A newly developed manufacturing technology - micro cross wedge rolling technology is an appropriate method to produce micro axisymmetric components such as micro stepped shafts. The development of this classic cold forming process is limited by a lack of sufficient understanding of geometric and material effects due to the size reduction of the components. In this study, a numerical model is proposed to simulate micro cross wedge rolling where the grain size effect is taken into account. Pure copper is chosen as the raw material. A finite element simulation is implemented where the diameter of the cylindrical workpiece is 0.8 mm and the polycrystalline aggregates are represented by Voronoi tessellation. The mean grain sizes of these workpiece range from 6 to 248 μm, in order to evaluate the grain size effect on the material flow. Meanwhile, a set of experiments are performed on the workpieces that have been heat treated. The experimental results show a good agreement with the simulation results by comparing the rolling forces and evolution of microstructures.
Jiang, ZY, Wei, DB, Cheng, XW, Gao, X, Zhang, JW, Huang, JX, Zhang, AW, Shi, X & Jiao, SH 2014, 'Surface Roughness and Friction in Hot Rolling of Stainless Steels', Materials Science Forum, vol. 783-786, pp. 795-800.
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An experimental method was developed to examine oxidations of austenitic and martensitic stainless steels. The results show that the surface roughness along both rolling and transverse directions decreases with an increase of reduction. When the reheating time is increased, the average thickness of oxide scales of stainless steels increases, which results in relatively rough surface after hot rolling. The effects of oxide scale on the friction condition and surface roughness transfer in hot rolling depend on the oxide scale generated during reheating. The calculated surface roughness is close to the experimental results, which verifies the developed FEM model.
Jingkuan Song, Yi Yang, Xuelong Li, Zi Huang & Yang Yang 2014, 'Robust Hashing With Local Models for Approximate Similarity Search', IEEE Transactions on Cybernetics, vol. 44, no. 7, pp. 1225-1236.
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Jonáš, A, Aas, M, Karadag, Y, Manioğlu, S, Anand, S, McGloin, D, Bayraktar, H & Kiraz, A 2014, 'In vitro and in vivo biolasing of fluorescent proteins suspended in liquid microdroplet cavities', Lab Chip, vol. 14, no. 16, pp. 3093-3100.
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We demonstrate that a single micron-sized fluorescent bacterial cell can serve as a laser gain medium of droplet-based optofluidic biolasers.
Ju, H & Zhang, R 2014, 'User Cooperation in Wireless Powered Communication Networks', IEEE Wireless Communications Letters, vol. 8, no. 2, pp. 632-635.
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This paper studies user cooperation in the emerging wireless poweredcommunication network (WPCN) for throughput optimization. For the purpose ofexposition, we consider a two-user WPCN, in which one hybrid access point(H-AP) broadcasts wireless energy to two distributed users in the downlink (DL)and the users transmit their independent information using their individuallyharvested energy to the H-AP in the uplink (UL) throughtime-division-multiple-access (TDMA). We propose user cooperation in the WPCNwhere the user which is nearer to the H-AP and has a better channel for DLenergy harvesting and UL information transmission uses part of its allocated ULtime and DL harvested energy to help to relay the far user's information to theH-AP, in order to achieve more balanced throughput optimization. We maximizethe weighted sum-rate (WSR) of the two users by jointly optimizing the time andpower allocations in the network for both wireless energy transfer in the DLand wireless information transmission and relaying in the UL. Simulationresults show that the proposed user cooperation scheme can effectively improvethe achievable throughput in the WPCN with desired user fairness.
Juan, D & Zheng, Q 2014, 'Cloud and Open BIM-Based Building Information Interoperability Research', Journal of Service Science and Management, vol. 07, no. 02, pp. 47-56.
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Kamal, MS & Khan, MI 2014, 'Chapman–Kolmogorov equations for global PPIs with Discriminant-EM', International Journal of Biomathematics, vol. 07, no. 05, pp. 1450053-1450053.
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Ongoing improvements in Computational Biology research have generated massive amounts of Protein–Protein Interactions (PPIs) dataset. In this regard, the availability of PPI data for several organisms provoke the discovery of computational methods for measurements, analysis, modeling, comparisons, clustering and alignments of biological data networks. Nevertheless, fixed network comparison is computationally stubborn and as a result several methods have been used instead. We illustrate a probabilistic approach among proteins nodes that are part of various networks by using Chapman–Kolmogorov (CK) formula. We have compared CK formula with semi-Markov random method, SMETANA. We significantly noticed that CK outperforms the SMETANA in all respects such as efficiency, speed, space and complexity. We have modified the SMETANA source codes available in MATLAB in the light of CK formula. Discriminant-Expectation Maximization (D-EM) accesses the parameters of a protein network datasets and determines a linear transformation to simplify the assumption of probabilistic format of data distributions and find good features dynamically. Our implementation finds that D-EM has a satisfactory performance in protein network alignment applications.
Kamal, S & Khan, MI 2014, 'An integrated algorithm for local sequence alignment', Network Modeling Analysis in Health Informatics and Bioinformatics, vol. 3, no. 1.
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Kandasamy, J, Sounthararajah, D, Sivabalan, P, Chanan, A, Vigneswaran, S & Sivapalan, M 2014, 'Socio-hydrologic drivers of the pendulum swing between agricultural development and environmental health: a case study from Murrumbidgee River basin, Australia', HYDROLOGY AND EARTH SYSTEM SCIENCES, vol. 18, no. 3, pp. 1027-1041.
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Kaniewski, J, Tomamichel, M & Wehner, S 2014, 'Entropic uncertainty from effective anti-commutators', Phys. Rev. A, vol. 90, no. 1, p. 012332.
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We investigate entropic uncertainty relations for two or more binarymeasurements, for example spin-$\frac{1}{2}$ or polarisation measurements. Weargue that the effective anti-commutators of these measurements, i.e. theanti-commutators evaluated on the state prior to measuring, are an expedientmeasure of measurement incompatibility. Based on the knowledge of pairwiseeffective anti-commutators we derive a class of entropic uncertainty relationsin terms of conditional R\'{e}nyi entropies. Our uncertainty relations areformulated in terms of effective measures of incompatibility, which can becertified device-independently. Consequently, we discuss potential applicationsof our findings to device-independent quantum cryptography. Moreover, toinvestigate the tightness of our analysis we consider the simplest (and verywell-studied) scenario of two measurements on a qubit. We find that our resultsoutperform the celebrated bound due to Maassen and Uffink [Phys. Rev. Lett. 60,1103 (1988)] and provide a new analytical expression for the minimumuncertainty which also outperforms some recent bounds based on majorisation.
Karvinen, KS, Ruppert, MG, Mahata, K & Moheimani, SOR 2014, 'Direct Tip-Sample Force Estimation for High-Speed Dynamic Mode Atomic Force Microscopy', IEEE Transactions on Nanotechnology, vol. 13, no. 6, pp. 1257-1265.
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Kazner, C, Jamil, S, Phuntsho, S, Shon, HK, Wintgens, T & Vigneswaran, S 2014, 'Forward osmosis for the treatment of reverse osmosis concentrate from water reclamation: process performance and fouling control', WATER SCIENCE AND TECHNOLOGY, vol. 69, no. 12, pp. 2431-2437.
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While high quality water reuse based on dual membrane filtration (membrane filtration or ultrafiltration, followed by reverse osmosis) is expected to be progressively applied, treatment and sustainable management of the produced reverse osmosis concentrate (ROC) are still important issues. Forward osmosis (FO) is a promising technology for maximising water recovery and further dewatering ROC so that zero liquid discharge is produced. Elevated concentrations of organic and inorganic compounds may act as potential foulants of the concentrate desalting system, in that they consist of, for example, FO and a subsequent crystallizer. The present study investigated conditions under which the FO system can serve as concentration phase with the focus on its fouling propensity using model foulants and real ROC. Bulk organics from ROC consisted mainly of humic acids (HA) and building blocks since wastewater-derived biopolymers were retained by membrane filtration or ultrafiltration. Organic fouling of the FO system by ROC-derived bulk organics was low. HA was only adsorbed moderately at about 7% of the initial concentration, causing a minor flux decline of about 2-4%. However, scaling was a major impediment to this process if not properly controlled, for instance by pH adjustment or softening. © IWA Publishing 2014.
Keam, SP, Sobala, A, Humphreys, DT, Suter, CM & Hutvagner, G 2014, 'Computational Analysis, Biochemical Purification, and Detection of tRNA-Derived Small RNA Fragments', Methods in Molecular Biology, vol. 1173, pp. 157-167.
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© Springer Science+Business Media New York 2014. The rapidly growing list of small RNA species generated by next-generation sequencing technologies has accelerated the development of new bioinformatics tools for their detection. Small RNAs generated from tRNAs, transfer RNA-derived fragments (tRFs), represent a novel challenge in accurately identifying and distinguishing them from random degradation products of tRNAs. Here, we describe a bioinformatics approach to detect tRFs in next-generation sequencing libraries. We also present a biochemical purification protocol for enriching 5′ tRFs and separating them from miRNAs. And finally, we suggest reliable methods for detecting and quantifying tRFs.
Keam, SP, Young, PE, McCorkindale, AL, Dang, THY, Clancy, JL, Humphreys, DT, Preiss, T, Hutvagner, G, Martin, DIK, Cropley, JE & Suter, CM 2014, 'The human Piwi protein Hiwi2 associates with tRNA-derived piRNAs in somatic cells', NUCLEIC ACIDS RESEARCH, vol. 42, no. 14, pp. 8984-8995.
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The Piwi-piRNA pathway is active in animal germ cells where its functions are required for germ cell maintenance and gamete differentiation. Piwi proteins and piRNAs have been detected outside germline tissue in multiple phyla, but activity of the pathway in mammalian somatic cells has been little explored. In particular, Piwi expression has been observed in cancer cells, but nothing is known about the piRNA partners or the function of the system in these cells. We have surveyed the expression of the three human Piwi genes, Hiwi, Hili and Hiwi2, in multiple normal tissues and cancer cell lines. We find that Hiwi2 is ubiquitously expressed; in cancer cells the protein is largely restricted to the cytoplasm and is associated with translating ribosomes. Immunoprecipitation of Hiwi2 from MDAMB231 cancer cells enriches for piRNAs that are predominantly derived from processed tRNAs and expressed genes, species which can also be found in adult human testis. Our studies indicate that a Piwi-piRNA pathway is present in human somatic cells, with an uncharacterised function linked to translation. Taking this evidence together with evidence from primitive organisms, we propose that this somatic function of the pathway predates the germline functions of the pathway in modern animals. © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.
Kehrel, U & Sick, N 2014, 'Economic and technological forecasting competencies of German energy companies', International Journal of Energy Sector Management, vol. 8, no. 4, pp. 588-610.
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Purpose – This paper aims to extend the small body of literature on energy industry transitions on firm level. A growing number of articles shed light on paradigm shifts in the energy industry and the influence of renewable energies on industry structures. In the majority of cases, the authors analyze changes on a global or national level. Design/methodology/approach – Energy companies’ forecasting capabilities are particularly important to enable them to react in time to upcoming changes in industry structures. In this context, we analyze annual reports of German energy companies to evaluate their economic and technological forecasting competencies. Findings – Big energy providers offer high economic forecasting quality, but seem to be less able to derive valid forecasts in terms of renewable energies from the currently unstable political frameworks. On the contrary, renewable energy companies do not seem to suffer from these difficulties and provide good foresting accuracy in terms of renewable energy development, but show less accurate economic forecasting quality. Practical implications – Big energy providers need to find the means of responding to the challenges and integrate changing political guidelines and support into their forecasting system. Renewable energy companies, in contrast, should focus on company-level profitability and the respective economic forecasting competencies. ...
Kennedy, PJ 2014, 'Redesign of Data Analytics Major: Challenges and Lessons Learned', Procedia - Social and Behavioral Sciences, vol. 116, pp. 1373-1377.
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Kermany, AR, Brawley, G, Mishra, N, Sheridan, E, Bowen, WP & Iacopi, F 2014, 'Microresonators with Q-factors over a million from highly stressed epitaxial silicon carbide on silicon', Applied Physics Letters, vol. 104, no. 8, pp. 081901-081901.
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We utilize the excellent mechanical properties of epitaxial silicon carbide (SiC) on silicon plus the capability of tuning its residual stress within a large tensile range to fabricate microstrings with fundamental resonant frequencies (f0) of several hundred kHz and mechanical quality factors (Q) of over a million. The fabrication of the perfect-clamped string structures proceeds through simple silicon surface micromachining processes. The resulting f × Q product in vacuum is equal or higher as compared to state-of-the-art amorphous silicon nitride microresonators. We demonstrate that as the residual epitaxial SiC stress is doubled, the f × Q product for the fundamental mode of the strings shows a four-fold increase.
Keshavarzi, A & Ball, J 2014, 'DISCHARGE COEFFICIENT OF SHARP‐CRESTED SIDE WEIR IN TRAPEZOIDAL CHANNEL WITH DIFFERENT SIDE‐WALL SLOPES UNDER SUBCRITICAL FLOW CONDITIONS', Irrigation and Drainage, vol. 63, no. 4, pp. 512-522.
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ABSTRACTIn this study, a comprehensive experimental study was performed to find an equation for the estimation of flow discharge over a sharp‐crested side weir in a trapezoidal channel. A physical model with side slopes of 1.5, 1, 0.5 and 0 was used and sharp‐crested side weirs with different lengths and heights were tested under different flow conditions. In this study, 212 laboratory tests were performed with different side‐wall slopes under subcritical flow conditions since the Froude number = 0.08–0.80. As a result, using statistical analysis, a linear relationship is proposed here for estimation of the side‐weir discharge coefficient in a trapezoidal channel. The new equation is a function of the upstream Froude number, weir height and side‐wall slope. The new equation enables estimation of flow discharge over the side weir with consideration of different side slopes. Furthermore, previously proposed discharge relationships for estimation of the discharge coefficient over sharp‐crested side weirs were compared with the new equation and experimental data from this study and this comparison is also reported in this paper. Copyright © 2014 John Wiley & Sons, Ltd.
Keshavarzi, A, Melville, B & Ball, J 2014, 'Three-dimensional analysis of coherent turbulent flow structure around a single circular bridge pier', Environmental Fluid Mechanics, vol. 14, no. 4, pp. 821-847.
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The coherent turbulent flow around a single circular bridge pier and its effects on the bed scouring pattern is investigated in this study. The coherent turbulent flow and associated shear stresses play a major role in sediment entrainment from the bed particularly around a bridge pier where complex vortex structures exist. The conventional two-dimensional quadrant analysis of the bursting process is unable to define sediment entrainment, particularly where fully three-dimensional flow structures exist. In this paper, three-dimensional octant analysis was used to improve understanding of the role of bursting events in the process of particle entrainment. In this study, the three-dimensional velocity of flow was measured at 102 points near the bed of an open channel using an Acoustic Doppler Velocity meter (Micro-ADV). The pattern of bed scouring was measured during the experiment. The velocity data were analysed using the Markov process to investigate the sequential occurrence of bursting events and to determine the transition probability of the bursting events. The results showed that external sweep and internal ejection events were an effective mechanism for sediment entrainment around a single circular bridge pier. The results are useful in understanding scour patterns around bridge piers. © 2014 Springer Science+Business Media Dordrecht.
Khabbaz, H & Fatahi, B 2014, 'How to overcome geotechnical challenges in implementing high speed rail systems in Australia', Geotechnical Engineering, vol. 45, no. 1, pp. 39-47.
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Although there are a few medium speed rail systems in Australia, there is not a passenger rail transport with the high transit speed, seen in other countries. This paper firstly summarises lessons learnt from other countries, experienced high speed rail (HRS) for many years. Then, the challenges associated with implementing HSR systems in Australia are explained. The main challenges include selection and design of proper tracks, geographical issues, environmental concerns, economics and project costs and construction procedures. The second part of the paper presents the effective solutions to the geotechnical challenges associated with HSR systems. Various approaches are presented to improve the ballast layer properties and enhance the track formation bearing strength, stiffness, resiliency and dynamic properties. Employing concrete slab (ballast-less) tracks is also taken into consideration for HSR systems, and their performance is compared to ballasted tracks. Copyright © 2014 Southeast Asian Geotechnical Society (SEAGS). All Rights Reserved.
Khalil, A, Ishita, K, Ali, T, Tiwari, R, Riachy, R, Toppino, A, Hasabelnaby, S, Sayfullin, N, Oliver, AG, Gallucci, J, Huang, Z & Tjarks, W 2014, 'Iodine Monochloride Facilitated Deglycosylation, Anomerization, and Isomerization of 3-Substituted Thymidine Analogues', Nucleosides, Nucleotides & Nucleic Acids, vol. 33, no. 12, pp. 786-799.
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Khalilpour, R 2014, 'Flexible Operation Scheduling of a Power Plant Integrated with PCC Processes under Market Dynamics', Industrial & Engineering Chemistry Research, vol. 53, no. 19, pp. 8132-8146.
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Khalilpour, R 2014, 'Multi-level investment planning and scheduling under electricity and carbon market dynamics: Retrofit of a power plant with PCC (post-combustion carbon capture) processes', ENERGY, vol. 64, no. C, pp. 172-186.
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This paper addresses four levels in carbon management decision-making: government, enterprise, plant, and process. Robust decision-making at any level requires consideration of the constraints and requirements of other levels. The focus of the paper is the enterprise level, when a power generating company wishes to develop its long term carbon management strategy. The carbon reduction option is solvent-based PCC (post-combustion carbon capture), which has been discussed as the most accessible option for CCS (carbon capture and storage) objectives. The company desires to know whether/when/how to invest in PCC processes in order to satisfy government emission reduction regulations while achieving the maximum economic benefits over the planning horizon.
Khalilpour, R & Abbas, A 2014, 'Optimal synthesis and design of solvent-based PCC process using a rate-based model', Separation and Purification Technology, vol. 132, pp. 149-167.
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Khalilpour, R & Karimi, IA 2014, 'Parametric optimization with uncertainty on the left hand side of linear programs.', Comput. Chem. Eng., vol. 60, pp. 31-40.
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Khan, I, François, R & Castel, A 2014, 'Experimental and analytical study of corroded shear-critical reinforced concrete beams', Materials and Structures, vol. 47, no. 9, pp. 1467-1481.
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Khan, I, François, R & Castel, A 2014, 'Prediction of reinforcement corrosion using corrosion induced cracks width in corroded reinforced concrete beams', Cement and Concrete Research, vol. 56, pp. 84-96.
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Khoa, NLD, Zhang, B, Wang, Y, Chen, F & Mustapha, S 2014, 'Robust dimensionality reduction and damage detection approaches in structural health monitoring', Structural Health Monitoring, vol. 13, no. 4, pp. 406-417.
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Structural health monitoring has been increasingly used due to the advances in sensing technology and data analysis, facilitating the shift from time-based to condition-based maintenance. This work is part of the efforts which have applied structural health monitoring to the Sydney Harbour Bridge – one of Australia’s iconic structures. It combines dimensionality reduction and pattern recognition techniques to accurately and efficiently distinguish faulty components from well-functioning ones. Specifically, random projection is used for dimensionality reduction on the vibration feature data. Then, healthy and damaged patterns of bridge components are learned in the lower dimensional projected space using supervised and unsupervised machine learning methods, namely, support vector machine and one-class support vector machine. The experimental results using data from a laboratory-based building structure and the Sydney Harbour Bridge showed high feasibility of applying machine learning techniques to dimensionality reduction and damage detection in structural health monitoring. Random projection combined with support vector machine significantly reduces the computational time while maintaining the detection accuracy. The proposed method also outperformed popular dimensionality reduction techniques. The computational time of the method using random projection can be more than 200 times faster than that without using dimensionality reduction while still achieving similar detection accuracy.
Khoo, BL, Warkiani, ME, Tan, DSW, Bhagat, AAS & Irwin, D 2014, 'Erratum: Clinical validation of an ultra high-throughput spiral microfluidics for the detection and enrichment of viable circulating tumor cells (PLoS ONE 9(7) e99409). doi:10.1371/journal.pone.0099409', PLoS ONE, vol. 9, no. 10.
Khoo, BL, Warkiani, ME, Tan, DS-W, Bhagat, AAS, Irwin, D, Lau, DP, Lim, AST, Lim, KH, Krisna, SS, Lim, W-T, Yap, YS, Lee, SC, Soo, RA, Han, J & Lim, CT 2014, 'Clinical Validation of an Ultra High-Throughput Spiral Microfluidics for the Detection and Enrichment of Viable Circulating Tumor Cells', PLoS ONE, vol. 9, no. 7, pp. e99409-e99409.
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BACKGROUND: Circulating tumor cells (CTCs) are cancer cells that can be isolated via liquid biopsy from blood and can be phenotypically and genetically characterized to provide critical information for guiding cancer treatment. Current analysis of CTCs is hindered by the throughput, selectivity and specificity of devices or assays used in CTC detection and isolation. METHODOLOGY/PRINCIPAL FINDINGS: Here, we enriched and characterized putative CTCs from blood samples of patients with both advanced stage metastatic breast and lung cancers using a novel multiplexed spiral microfluidic chip. This system detected putative CTCs under high sensitivity (100%, n = 56) (Breast cancer samples: 12-1275 CTCs/ml; Lung cancer samples: 10-1535 CTCs/ml) rapidly from clinically relevant blood volumes (7.5 ml under 5 min). Blood samples were completely separated into plasma, CTCs and PBMCs components and each fraction were characterized with immunophenotyping (Pan-cytokeratin/CD45, CD44/CD24, EpCAM), fluorescence in-situ hybridization (FISH) (EML4-ALK) or targeted somatic mutation analysis. We used an ultra-sensitive mass spectrometry based system to highlight the presence of an EGFR-activating mutation in both isolated CTCs and plasma cell-free DNA (cf-DNA), and demonstrate concordance with the original tumor-biopsy samples. CONCLUSIONS/SIGNIFICANCE: We have clinically validated our multiplexed microfluidic chip for the ultra high-throughput, low-cost and label-free enrichment of CTCs. Retrieved cells were unlabeled and viable, enabling potential propagation and real-time downstream analysis using next generation sequencing (NGS) or proteomic analysis.
Khorsandnia, N, Schaenzlin, J, Valipour, H & Crews, K 2014, 'Time-dependent behaviour of timber-concrete composite members: Numerical verification, sensitivity and influence of material properties', CONSTRUCTION AND BUILDING MATERIALS, vol. 66, pp. 192-208.
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Khorsandnia, N, Valipour, H & Crews, K 2014, 'Structural Response of Timber-Concrete Composite Beams Predicted by Finite Element Models and Manual Calculations', ADVANCES IN STRUCTURAL ENGINEERING, vol. 17, no. 11, pp. 1601-1621.
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This paper presents the structural response of timber-concrete composite (TCC) beams predicted by finite element models (i.e. continuum-based and 1D frame) and manual calculations. Details of constitutive laws adopted for modelling timber and concrete are provided and application of the Hashin damage model in conjunction with continuum-based FE for capturing failure of timber under bi-axial stress state is discussed. A simplified strategy for modelling the TCC connection is proposed in which the connection is modelled by a nonlinear spring and the full load-slip behaviour of each TCC connection is expressed with a formula that can be directly implemented in the general purpose FE codes and used for nonlinear analysis of TCC beams. The developed FE models are verified by examples taken from the literature. Furthermore, the load-displacement response and ultimate loading capacity of the TCC beams are determined according to Eurocode 5 method and compared with FE model predictions.
Khorsandnia, N, Valipour, H, Foster, S & Crews, K 2014, 'A force-based frame finite element formulation for analysis of two- and three-layered composite beams with material non-linearity', INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS, vol. 62, pp. 12-22.
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Khorsandnia, N, Valipour, HR & Crews, K 2014, 'Nonlinear Long-Term Analysis of Timber-Concrete Composite Structures with Finite Element-Finite Difference Scheme', Applied Mechanics and Materials, vol. 553, pp. 618-624.
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Long-term analysis of timber-concrete composite (TCC) structures is a challenging task owing to the time-dependent behaviour of timber, concrete and connections which are highly nonlinear under variable environmental conditions (i.e. temperature, humidity). In this paper an efficient numerical method that takes advantage of a finite element-finite difference (FE-FD) scheme is presented. The differential equations governing the long-term behaviour of TCC section under variable humidity are solved using the FD scheme and the differential equations governing the mechanical behaviour of the composite beam are solved by a FE formulation recast in the framework of force-interpolation concept. The comparison between experimental data and numerical results shows the sufficient accuracy of the proposed FE-FD model for capturing long-term behaviour of TCC members.
Khosrokhani, M & Pradhan, B 2014, 'Spatio-temporal assessment of soil erosion at Kuala Lumpur metropolitan city using remote sensing data and GIS', Geomatics, Natural Hazards and Risk, vol. 5, no. 3, pp. 252-270.
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Khushaba, RN, Takruri, M, Miro, JV & Kodagoda, S 2014, 'Towards limb position invariant myoelectric pattern recognition using time-dependent spectral features', NEURAL NETWORKS, vol. 55, pp. 42-58.
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Recent studies in Electromyogram (EMG) pattern recognition reveal a gap between research findings and a viable clinical implementation of myoelectric control strategies. One of the important factors contributing to the limited performance of such controllers in practice is the variation in the limb position associated with normal use as it results in different EMG patterns for the same movements when carried out at different positions. However, the end goal of the myoelectric control scheme is to allow amputees to control their prosthetics in an intuitive and accurate manner regardless of the limb position at which the movement is initiated. In an attempt to reduce the impact of limb position on EMG pattern recognition, this paper proposes a new feature extraction method that extracts a set of power spectrum characteristics directly from the time-domain. The end goal is to form a set of features invariant to limb position. Specifically, the proposed method estimates the spectral moments, spectral sparsity, spectral flux, irregularity factor, and signals power spectrum correlation. This is achieved through using Fourier transform properties to form invariants to amplification, translation and signal scaling, providing an efficient and accurate representation of the underlying EMG activity. Additionally, due to the inherent temporal structure of the EMG signal, the proposed method is applied on the global segments of EMG data as well as the sliced segments using multiple overlapped windows. The performance of the proposed features is tested on EMG data collected from eleven subjects, while implementing eight classes of movements, each at five different limb positions. Practical results indicate that the proposed feature set can achieve significant reduction in classification error rates, in comparison to other methods, with ≈8% error on average across all subjects and limb positions. A real-time implementation and demonstration is also provided and made a...
Kieferová, M & Wiebe, N 2014, 'On the power of coherently controlled quantum adiabatic evolutions', New Journal of Physics, vol. 16, no. 12, pp. 123034-123034.
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Kim, PY, Tan, O, Diakiw, SM, Carter, D, Sekerye, EO, Wasinger, VC, Liu, T, Kavallaris, M, Norris, MD, Haber, M, Chesler, L, Dolnikov, A, Trahair, TN, Cheung, N-K, Marshall, GM & Cheung, BB 2014, 'Identification of plasma Complement C3 as a potential biomarker for neuroblastoma using a quantitative proteomic approach', Journal of Proteomics, vol. 96, pp. 1-12.
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Kim, Y, Elimelech, M, Shon, HK & Hong, S 2014, 'Combined organic and colloidal fouling in forward osmosis: Fouling reversibility and the role of applied pressure', Journal of Membrane Science, vol. 460, pp. 206-212.
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In this study, we systematically investigated the propensity and reversibility of combined organic-colloidal fouling in forward osmosis (FO) under various solution chemistries (pH and calcium ion concentrations) and applied hydraulic pressure on the feed side. Alginate, silica colloids, and their mixture (i.e., combined organic-colloidal) were used as model foulants. Our findings demonstrate that combined organic-colloidal foulants caused more rapid flux decline than the individual foulants due to the synergistic effect of alginate and silica colloids. As a result, much lower flux recovery was achieved by physical cleaning induced by increasing the cross-flow rate, in contrast to single foulants of which the fouling layer was easily removed under all solution conditions. Interestingly, less flux decline was observed at neutral pH for combined fouling, while acidic conditions were favorable for alginate fouling and basic solutions caused more silica fouling, thereby providing clear evidence for the combined fouling effect. It was also found that calcium ions enhanced water flux decline and induced the formation of less reversible combined organic-colloidal fouling layers. Lastly, the role of applied hydraulic pressure on the feed side in FO was examined to elucidate the mechanism of fouling layer formation, fouling reversibility, and water flux recovery. Higher fouling propensity and lower fouling reversibility of combined organic-colloidal fouling were observed in the presence of applied hydraulic pressure on the feed side. This observation suggests that the lower fouling propensity and greater fouling reversibility in FO compared to reverse osmosis (RO), are attributable to unpressurized operating conditions in FO. © 2014 Elsevier B.V.
Kirby, R, Amott, K, Williams, PT & Duan, W 2014, 'On the acoustic performance of rectangular splitter silencers in the presence of mean flow', Journal of Sound and Vibration, vol. 333, no. 24, pp. 6295-6311.
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© 2014 Elsevier Ltd. Dissipative splitter silencers are often used to reduce the noise emitted in ventilation and gas turbine systems. It is well known that the acoustic performance of a splitter silencer changes under the influence of the convective effects of a mean gas flow and so in this article a theoretical model is developed to include the effects of mean flow. The theoretical model is based on a hybrid finite element method which enables the inclusion of bull nose fairings and a perforated screen separating the mean gas flow from a bulk reacting porous material. Predictions are compared against experimental measurements obtained both with and without mean flow. Good agreement between prediction and measurement is generally observed in the absence of mean flow, although it is seen that for silencers with a low percentage open area the silencer insertion loss is over predicted at higher frequencies. When mean flow is present, problems with the experimental methodology are observed at relatively modest mean flow velocities, and so comparison between prediction and experiment is limited to relatively low face velocities. However, experiment and theory both show that the insertion loss reduces at low frequencies when mean flow is in the direction of sound propagation, and at high frequencies the influence of mean flow is generally much smaller. Following additional theoretical investigations it is concluded that the influence of mean flow on splitter silencer performance should be accounted for at low frequencies when silencer airway velocities are greater than about 20 m/s; however, at higher frequencies one may generally neglect the effect of mean flow, even at higher velocities. Predictions obtained using the hybrid method are also compared to a simplified point collocation approach and it is demonstrated that the computationally efficient point collocation method may be used to investigate the effects of mean flow in a splitter silencer without l...
Kirby, R, Williams, PT & Hill, J 2014, 'A three dimensional investigation into the acoustic performance of dissipative splitter silencers', The Journal of the Acoustical Society of America, vol. 135, no. 5, pp. 2727-2737.
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Splitter silencers are found in ventilation and gas turbine systems and consist of parallel baffles of porous material placed within a duct so that they split the mean gas flow. Theoretical investigations into dissipative splitter silencers have generally been limited to two dimensions and this limits the analysis to finding the silencer eigenmodes or, for a finite length silencer, to rectangular baffles only. In this article a numerical point collocation approach is used to extend theoretical predictions to three dimensions. This facilitates the analysis of more complex silencer designs such as “bar” silencers and theoretical predictions are validated by comparison with experimental measurements. The insertion loss of different silencer designs is evaluated and the performance of a bar silencer is compared to traditional designs for rectangular and circular ducts. It is shown that a bar silencer with a volume of material identical to an equivalent parallel baffle design delivers a significant improvement in insertion loss at higher frequencies, although this is at the expense of a small reduction in performance at low frequencies. It is also shown that under most circumstances it is possible to get good agreement between prediction and experiment even for relatively large Helmholtz numbers.
Kodagoda, S & Sehestedt, S 2014, 'Simultaneous people tracking and motion pattern learning', Expert Systems with Applications, vol. 41, no. 16, pp. 7272-7280.
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The field of Human Robot Interaction (HRI) encompasses many difficult challenges as robots need a better understanding of human actions. Human detection and tracking play a major role in such scenarios. One of the main challenges is to track them with long term occlusions due to agile nature of human navigation. However, in general humans do not make random movements. They tend to follow common motion patterns depending on their intentions and environmental/physical constraints. Therefore, knowledge of such common motion patterns could allow a robotic device to robustly track people even with long term occlusions. On the other hand, once a robust tracking is achieved, they can be used to enhance common motion pattern models allowing robots to adapt to new motion patterns that could appear in the environment. Therefore, this paper proposes to learn human motion patterns based on Sampled Hidden Markov Model (SHMM) and simultaneously track people using a particle filter tracker. The proposed simultaneous people tracking and human motion pattern learning has not only improved the tracking robustness compared to more conservative approaches, it has also proven robustness to prolonged occlusions and maintaining identity. Furthermore, the integration of people tracking and on-line SHMM learning have led to improved learning performance. These claims are supported by real world experiments carried out on a robot with suite of sensors including a laser range finder.
Koirala, S, Hirabayashi, Y, Mahendran, R & Kanae, S 2014, 'Global assessment of agreement among streamflow projections using CMIP5 model outputs', Environmental Research Letters, vol. 9, no. 6, pp. 064017-064017.
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Kong, J, Yue, Q, Gao, B, Li, Q, Wang, Y, Ngo, HH & Guo, W 2014, 'Porous structure and adsorptive properties of hide waste activated carbons prepared via potassium silicate activation', Journal of Analytical and Applied Pyrolysis, vol. 109, pp. 311-314.
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Bioremediation is widely used in organic pollutants disposal. However, very little has been known on its application in constructed wetlands contaminated with organochlorine pesticide, endosulfan in particular. To evaluate the effect of bioremediation on endosulfan removal and clarify the fate, bioaugmentation and biostimulation were studied in laboratory-scale vertical-flow constructed wetlands. After 20 days’ experiment, endosulfan isomers removal efficiencies were increased to 89.24–97.62 % through bioremediation. In bacteria bioaugmentation (E-in) and sucrose biostimulation (E-C), peak concentrations of endosulfan in sediment were reduced by 31.02–76.77 %, and plant absorption were 347.45–576.65 μg kg−1. By contrast, plant absorption in KH2PO4 biostimulation (E-P) was increased to 811.64 and 1,067.68 μg kg−1. Degradation process was probably promoted in E-in and E-C, while plant absorption was enhanced in EP. Consequently, E-in and E-C were effective for endosulfan removal in constructed wetlands, while adding KH2PO4 had potential to cause air pollution. Additionally, combined bioremediation was not recommended.
Kong, Q, Ngo, HH, Shu, L, Fu, R-S, Jiang, C-H & Miao, M-S 2014, 'Enhancement of aerobic granulation by zero-valent iron in sequencing batch airlift reactor', Journal of Hazardous Materials, vol. 279, pp. 511-517.
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This study elucidates the enhancement of aerobic granulation by zero-valent iron (ZVI). A reactor aug-mented with ZVI had a start-up time of aerobic granulation (43 days) that was notably less than that fora reactor without augmentation (64 days). The former reactor also had better removal efficiencies forchemical oxygen demand and ammonium. Moreover, the mature granules augmented with ZVI had bet-ter physical characteristics and produced more extracellular polymeric substances (especially of protein).Three-dimensional-excitation emission matrix fluorescence showed that ZVI enhanced organic materialdiversity. Additionally, ZVI enhanced the diversity of the microbial community. Fe2+dissolution fromZVI helped reduce the start-up time of aerobic granulation and increased the extracellular polymericsubstance content. Conclusively, the use of ZVI effectively enhanced aerobic granulation.
Kouretzis, GP, Krabbenhøft, K, Sheng, D & Sloan, SW 2014, 'Soil-buried pipeline interaction for vertical downwards relative offset', Canadian Geotechnical Journal, vol. 51, no. 10, pp. 1087-1094.
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A new perspective is presented on the interaction effects for the vertical downwards offset of a pipeline relative to its surrounding soil. Instead of estimating the interaction force via shallow footing bearing capacity theory, as per common pipeline design practice, we assume that the vertical movement of the pipeline in uniform soil is governed by mechanisms similar to the lateral loading of a circular pile up to its limit load. The validity of this assumption is investigated numerically with the finite element limit analysis method, and design expressions are derived for the maximum interaction force on pipelines embedded in cohesive and granular soils. For the common case of buried pipelines built in sand-backfilled trenches, the same numerical method is employed to determine the necessary trench dimensions so as to avoid interaction with the possibly much stiffer native soil that results in a significant increase in the force applied on the pipeline during ground movement. The described approach can be employed in project-specific analyses to optimize trench dimensions, and thus avoid unnecessary excavation costs or mitigation measures.
Kouretzis, GP, Sheng, D & Wang, D 2014, 'Numerical simulation of cone penetration testing using a new critical state constitutive model for sand', Computers and Geotechnics, vol. 56, pp. 50-60.
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Kuhlang, P, Erohin, O, Krebs, M, Deuse, J & Sihn, W 2014, 'Morphology of time data management - systematic design of time data management processes as fundamental challenge in industrial engineering', International Journal of Industrial and Systems Engineering, vol. 16, no. 4, pp. 415-415.
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During the last 10 to 15 years, a renaissance of industrial engineering can be observed in manufacturing industry, as well as in scientific research. As a consequence, time and motion studies (TMS) become more important again. During the downturn of methodical approaches in industrial engineering in the 1980s, TMS-related competencies were lost in industry. Many companies are still missing the know-how for establishing a proper time data management (TDM). This paper presents a morphology of time data management (MoTDM), which was developed in order to create a comprehensive view on the processes of TDM as well as to detect relevant areas of improvement. The MoTDM can be used to optimise TDM processes within a company and also acts as scientific fundament for research in the field of industrial engineering.Copyright © 2014 Inderscience Enterprises Ltd.
Kuo, V & Fitch, R 2014, 'Scalable multi-radio communication in modular robots', ROBOTICS AND AUTONOMOUS SYSTEMS, vol. 62, no. 7, pp. 1034-1046.
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Decentralized control of self-reconfiguring modular robots requires reliable inter-module communication. Communication links must tolerate module misalignment and implement the neighbor-to-neighbor communication model. In this paper, we propose a wireless system based on multiple radios per module that addresses these challenges. Although the capacity of general wireless mesh networks is known to rapidly decrease with network size, we show that a multi-radio single-channel system has constant capacity in square and cubic lattices of infinite size. We validate the performance of such a system in a testbed with 15 unactuated modules using synthetic data and a benchmark decentralized algorithm. We also demonstrate automatic neighbor detection. The main benefits of radio communication in modular robots are tolerance to module misalignment and to eliminate the tight coupling between communication and mechanical design necessitated by typical existing infrared and wired systems. Our results are the first to establish the feasibility of radio as the primary means of inter-module communication in modular robots. © 2013 Elsevier B.V. All rights reserved.
Kusakunniran, W, Wu, Q, Zhang, J, Li, H & Wang, L 2014, 'Recognizing Gaits Across Views Through Correlated Motion Co-Clustering', IEEE Transactions on Image Processing, vol. 23, no. 2, pp. 696-709.
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Human gait is an important biometric feature, which can be used to identify a person remotely. However, view change can cause significant difficulties for gait recognition because it will alter available visual features for matching substantially. Moreover, it is observed that different parts of gait will be affected differently by view change. By exploring relations between two gaits from two different views, it is also observed that a part of gait in one view is more related to a typical part than any other parts of gait in another view. A new method proposed in this paper considers such variance of correlations between gaits across views that is not explicitly analyzed in the other existing methods. In our method, a novel motion co-clustering is carried out to partition the most related parts of gaits from different views into the same group. In this way, relationships between gaits from different views will be more precisely described based on multiple groups of the motion co-clustering instead of a single correlation descriptor. Inside each group, a linear correlation between gait information across views is further maximized through canonical correlation analysis (CCA). Consequently, gait information in one view can be projected onto another view through a linear approximation under the trained CCA subspaces. In the end, a similarity between gaits originally recorded from different views can be measured under the approximately same view. Comprehensive experiments based on widely adopted gait databases have shown that our method outperforms the state-of-the-art. © 2013 IEEE.
Kutay, C, Mooney, J, Riley, L & Howard-Wagner, D 2014, 'Teaching through Story Mapping', The International Journal of Technology, Knowledge, and Society, vol. 9, no. 3, pp. 73-84.
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Teaching Aboriginal culture relies on individual teachers providing their particular perspective, yet cultural education is about providing a community perspective. This paper describes the design process for creating such an online system to share multiple experiences of Aboriginal Culture in New South Wales (NSW), Australia in a coherent and social-constructivist framework. The focus of the material is Aboriginal Kinship systems used for thousands of years in this region. This topic was chosen as the history of conflict through government policy, social inclusion and technology take-up has continually returned to issues of Kinship and cultural knowledge maintenance within respective societies, areas in which Aboriginal and European societies are markedly different. There is a pressing need to improve knowledge of Aboriginal cultural heritage and technology provides a novel means of sharing this understanding. Narratives from Aboriginal communities are used to augment an interactive face-to-face Kinship presentation which has been videoed and will be available as part of the learning material. Using innovative authoring tools, teachers will be able to select Aboriginal people's narratives that are relevant to their course of study, and map these to a range of scenarios being developed. The scenarios enable students to select ways they relate to the online characters, listen to various narratives, and become aware of their own role in the wider community, in relation to working for or with Aboriginal people. © Common Ground, Cat Kutay, Janet Mooney, Lynette Riley, and Deirdre Howard-Wagner.
Kyzar, KB, Chiu, C, Kemp, P, Aldersey, HM, Turnbull, AP & Lindeman, DP 2014, 'Feasibility of an Online Professional Development Program for Early Intervention Practitioners', Infants & Young Children, vol. 27, no. 2, pp. 174-191.
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Lai, C-Y, Hsieh, M-H & Lu, H-F 2014, 'On the MacWilliams Identity for Classical and Quantum Convolutional Codes', IEEE Transactions on Communications, vol. 64, no. 8, pp. 3148-3159, Aug 2016, vol. 64, no. 8, pp. 3148-3159.
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The weight generating functions associated with convolutional codes (CCs) arebased on state space realizations or the weight adjacency matrices (WAMs). TheMacWilliams identity for CCs on the WAMs was first established by Gluesing-Luerssen and Schneider in the case of minimal encoders, and generalized byForney. We consider this problem in the viewpoint of constraint codes andobtain a simple and direct proof of this MacWilliams identity in the case ofminimal encoders. For our purpose, we choose a different representation for theexact weight generating function (EWGF) of a block code, by defining it as alinear combination of orthonormal vectors in Dirac bra-ket notation. Thisrepresentation provides great flexibility so that general split weightgenerating functions and their MacWilliams identities can be easily obtainedfrom the MacWilliams identity for EWGFs. As a result, we also obtain theMacWilliams identity for the input-parity weight adjacency matrices of asystematic convolutional code and its dual. Finally, paralleling thedevelopment of the classical case, we establish the MacWilliams identity forquantum convolutional codes.
Lai, JCY, Leung, FHF & Ling, SH 2014, 'Hypoglycaemia detection using fuzzy inference system with intelligent optimiser', APPLIED SOFT COMPUTING, vol. 20, pp. 54-65.
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Lam, HK, Ekong, U, Liu, H, Xiao, B, Araujo, H, Ling, SH & Chan, KY 2014, 'A study of neural-network-based classifiers for material classification', NEUROCOMPUTING, vol. 144, pp. 367-377.
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Law, YZ, Thinh, LP, Bancal, J-D & Scarani, V 2014, 'Quantum randomness extraction for various levels of characterization of the devices', Journal of Physics A: Mathematical and Theoretical, vol. 47, no. 42, pp. 424028-424028.
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Lecou, C, Sick, N & Leker, J 2014, 'Selection patterns in front-end decision making - determining the probability of idea progress within the internal innovation process', International Journal of Technology Marketing, vol. 9, no. 2, pp. 101-101.
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Lee, HU, Lee, Y-C, Lee, SC, Park, SY, Son, B, Lee, JW, Lim, C-H, Choi, C-J, Choi, M-H, Lee, SY, Oh, Y-K & Lee, J 2014, 'Visible-light-responsive bicrystalline (anatase/brookite) nanoporous nitrogen-doped TiO2 photocatalysts by plasma treatment', Chemical Engineering Journal, vol. 254, no. 1, pp. 268-275.
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Titanium dioxide (TiO2) is one of the most researched semiconductor oxides that has revolutionised technologies in the field of environmental purification and energy generation. It has found extensive applications in heterogenous photocatalysis for removing organic pollutants from air and water and also in hydrogen production from photocatalytic water-splitting. Its use is popular because of its low cost, low toxicity, high chemical and thermal stability, But one of the critical limitations of TiO 2 as photocatalyst is its poor response to visible light. Several attempts have been made to modify the surface and electronic structures of TiO2 to enhance its activity in the visible light region such as noble metal deposition, metal ion loading, cationic and anionic doping and sensitisation, Most of the results improved photocatalytic performance under visible light irradiation. This paper attempts to review and update some of the information on the TiO2 photocatalytic technology and its accomplishment towards visible light region.
Lee, J, Guan, H, Loo, Y-C & Blumenstein, M 2014, 'Development of a Long-Term Bridge Element Performance Model Using Elman Neural Networks', Journal of Infrastructure Systems, vol. 20, no. 3, pp. 04014013-04014013.
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© 2014 American Society of Civil Engineers. A reliable deterioration model is essential in bridge asset management. Most deterioration modeling requires a large amount of well-distributed condition rating data along with all bridge ages to calculate the probability of condition rating deterioration. This means that the model can only function properly when a full set of data is available. To overcome this shortcoming, an improved artificial intelligence (AI)-based model is presented in this study to effectively predict long-term deterioration of bridge elements. The model has four major components: (1) categorizing bridge element condition ratings; (2) using the neural network-based backward prediction model (BPM) to generate unavailable historical condition ratings for applicable bridge elements; (3) training by an Elman neural network (ENN) for identifying historical deterioration patterns; and (4) using the ENN to predict long-term performance. The model has been tested using bridge inspection records that demonstrate satisfactory results. This study primarily focuses on the establishment of a new methodology to address the research problems identified. A series of case studies, hence, need to follow to ensure the method is appropriately developed and validated.
Lee, KT, Lim, S, Pang, YL, Ong, HC & Chong, WT 2014, 'Integration of reactive extraction with supercritical fluids for process intensification of biodiesel production: Prospects and recent advances', Progress in Energy and Combustion Science, vol. 45, pp. 54-78.
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Lei, G, Wang, T, Guo, Y, Zhu, J & Wang, S 2014, 'System-Level Design Optimization Methods for Electrical Drive Systems: Deterministic Approach', IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, vol. 61, no. 12, pp. 6591-6602.
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© 1982-2012 IEEE. Electrical drive systems are key components in modern appliances, industry equipment, and systems, e.g., hybrid electric vehicles. To obtain the best performance of these drive systems, the motors and their control systems should be designed and optimized at the system level rather than the component level. This paper presents an effort to develop system-level design and optimization methods for electrical drive systems. Two system-level design optimization methods are presented in this paper: 1) single-level method (only at system level); and 2) multilevel method. Meanwhile, the approximate models, the design of experiments technique, and the sequential subspace optimization method are presented to improve the optimization efficiency. Finally, a drive system consisting of a permanent-magnet transverse flux machine with a soft magnetic composite core is investigated, and detailed results are presented and discussed. This is a high-dimensional optimization problem with 14 parameters mixed with both discrete and continuous variables. The finite-element analysis model and method are verified by the experimental results on the motor prototype. From the discussion, it can be found that the proposed multilevel method can increase the performance of the whole drive system, such as bigger output power and lower material cost, and decrease the computation cost significantly compared with those of single-level design optimization method.
Lei, G, Xu, W, Hu, J, Zhu, J, Guo, Y & Shao, K 2014, 'Multilevel Design Optimization of a FSPMM Drive System by Using Sequential Subspace Optimization Method', IEEE TRANSACTIONS ON MAGNETICS, vol. 50, no. 2.
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Lei, G, Zhu, J, Guo, Y, Shao, K & Xu, W 2014, 'Multiobjective Sequential Design Optimization of PM-SMC Motors for Six Sigma Quality Manufacturing', IEEE TRANSACTIONS ON MAGNETICS, vol. 50, no. 2, pp. 1-4.
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In our previous work, two kinds of permanent magnet (PM) synchronous motors, transverse flux motor (TFM) and claw pole motor, were designed and fabricated using the soft magnetic composite (SMC) cores. This paper presents multiobjective and robust design optimization for high-quality manufacturing of these PM-SMC motors to improve their industrial applications. Meanwhile, an improved multiobjective sequential optimization method is presented to reduce the computation cost. Thereafter, a PM TFM with SMC core is investigated to illustrate the performance of the proposed method. From the discussion, it can be found that six sigma quality manufacturing was achieved for all Pareto design schemes given by the proposed method. Furthermore, manufacturing cost and computation cost have been reduced a lot. © 2014 IEEE.
Leong, KY & Ong, HC 2014, 'Entropy generation analysis of nanofluids flow in various shapes of cross section ducts', International Communications in Heat and Mass Transfer, vol. 57, pp. 72-78.
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Leung, AHM, Prime, EL, Tran, DNH, Fu, Q, Christofferson, AJ, Yiapanis, G, Yarovsky, I, Qiao, GG & Solomon, DH 2014, 'Dynamic Performance of Duolayers at the Air/Water Interface. 1. Experimental Analysis', The Journal of Physical Chemistry B, vol. 118, no. 37, pp. 10919-10926.
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Li, CX, Chen, P, Wang, RJ, Wang, XJ, Su, YR & Li, J 2014, 'PPI-IRO: a two-stage method for protein-protein interaction extraction based on interaction relation ontology', International Journal of Data Mining and Bioinformatics, vol. 10, no. 1, pp. 98-98.
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Mining Protein-Protein Interactions (PPIs) from the fast-growing biomedical literature resources has been proven as an effective approach for the identifi cation of biological regulatory networks. This paper presents a novel method based on the idea of Interaction Relation Ontology (IRO), which specifi es and organises words of various proteins interaction relationships. Our method is a two-stage PPI extraction method. At fi rst, IRO is applied in a binary classifi er to determine whether sentences contain a relation or not. Then, IRO is taken to guide PPI extraction by building sentence dependency parse tree. Comprehensive and quantitative evaluations and detailed analyses are used to demonstrate the signifi cant performance of IRO on relation sentences classifi cation and PPI extraction. Our PPI extraction method yielded a recall of around 80% and 90% and an F1 of around 54% and 66% on corpora of AIMed and Bioinfer, respectively, which are superior to most existing extraction methods. Copyright © 2014 Inderscience Enterprises Ltd.
Li, D, Liu, F, Li, Y, Zhao, Z, Zhang, C & Yang, Q 2014, 'Magnetic properties modeling of soft magnetic composite materials using two-dimensional vector hybrid hysteresis model', Journal of Applied Physics, vol. 115, no. 17, pp. 17D117-17D117.
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Thanks to the unique magnetic properties, soft magnetic composite (SMC) materials and their application in electromagnetic devices have achieved significant development. The typical application example of SMC is the electrical machine with complex structure, such as claw pole and transverse flux machines, in which the magnetic field is basically rotary. To design and analyze such a device, vector magnetic properties of the core material should be properly determined, modeled and applied. This paper presents the modeling of vector magnetic hysteresis of SMC based on a Stoner-Wohlfarh (S-W) elemental operator. A phenomenological mean-field approximation is used to consider the interaction between particles. With the presented model, the magnetization processes of SMC under both alternating and rotating fluxes are numerically simulated. The simulations have been verified by experimental measurements.
Li, F, Lu, L, Zheng, X, Ngo, HH, Liang, S, Guo, W & Zhang, X 2014, 'Enhanced nitrogen removal in constructed wetlands: Effects of dissolved oxygen and step-feeding', BIORESOURCE TECHNOLOGY, vol. 169, pp. 395-402.
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Four horizontal subsurface flow constructed wetlands (HSFCWs), named HSFCW1 (three-stage, without step-feeding), HSFCW2 (three-stage, with step-feeding), HSFCW3 (five-stage, without step-feeding) and HSFCW4 (five-stage, with step-feeding) were designed to investigate the effects of dissolved oxygen (DO) and step-feeding on nitrogen removal. High removal of 90.9% COD, 99.1% ammonium nitrogen and 88.1% total nitrogen (TN) were obtained simultaneously in HSFCW4 compared with HSFCW13. The excellent TN removal of HSFCW4 was due to artificial aeration provided sufficient DO for nitrification and the favorable anoxic environment created for denitrification. Step-feeding was a crucial factor because it provided sufficient carbon source (high COD: nitrate ratio of 14.3) for the denitrification process. Microbial activities and microbial abundance in HSFCW4 was found to be influenced by DO distribution and step-feeding, and thus improve TN removal. These results suggest that artificial aeration combined with step-feeding could achieve high nitrogen removal in HSFCWs.
Li, H, Jiang, Z, Wei, D & Gao, X 2014, 'Influence of Friction on Surface Asperity Flattening Process in Cold Uniaxial Planar Compression (CUPC)', Tribology Letters, vol. 53, no. 2, pp. 383-393.
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Atomic force microscope and electron back-scattering diffraction measurement methods were used to study the effects of friction on surface asperity flattening and surface texture during the uniaxial planar compression of annealed aluminum alloy. With an increase in gauged reduction, surface asperity tended to be flattened. Friction could boost the surface asperity flattening process by reducing the flow stress in deformation. The development of surface asperity features demonstrated that friction can effectively hinder the development of the Goss orientation component {011} < 100 > and clearly promote the generation of brass orientation {011} < 100 > orientation. Regardless of whether the sample was compressed with lubricant or not, a few S orientation component {123} < 634 > formed in sample edge area.
Li, J & Hao, H 2014, 'A Simplified Numerical Method for Blast Induced Structural Response Analysis', International Journal of Protective Structures, vol. 5, no. 3, pp. 323-348.
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Efficiently and accurately predicting structural dynamic response and damage to external blast loading is a big challenge to both structural engineers and researchers. The conventional numerical treatment to this problem is proved being able to give reliable predictions, however at the cost of enormous computational time and resource. Simplified SDOF approach is popularly used in design as it is straightforward to use and also gives good structural response predictions if the response is governed by a global response mode (shear or bending) and the accurate dynamic deflection curve is available, but it cannot predict the detailed local structural damage. In this study, a new numerical approach that combines the recently proposed two-step method and the static condensation method is proposed to analyze structure response and collapse to blast loads. The two-step method divides the structural response into two phases, i.e. forced vibration phase (blast loading duration) and free vibration phase. Single- Degree-of-Freedom system approach is adopted to solve the structural element responses at the end of the forced vibration phase, and the structural free vibration simulation is carried out using the hydro-code LS-DYNA to calculate the detailed structural response and damage. The static condensation technique is utilized to condense structural components that are relatively away from the explosion center to further reduce the computational effort. To demonstrate the proposed method, the structural responses of a three story RC frame to blast loads are calculated by four approaches, i.e. the traditional detailed FE simulation, the two-step method, the model condensation method, and the new combined two-step and dynamic condensation method. Through the results comparison, the efficiency and accuracy of the proposed combined approach are demonstrated.
Li, J & Hao, H 2014, 'Numerical and Theoretical Study of Concrete Spall Damage under Blast Loads', Applied Mechanics and Materials, vol. 553, pp. 774-779.
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Spall damage is a typical failure mode of concrete structures under blast or high velocity impact loads. At the opposite side from which the structural element was impulsively loaded, spall will occur if the net primary stresses over an area exceed the dynamic tensile strength of concrete. Fragments of structural element could eject with large velocities, and this kind of damage can cause severe threats to equipment and personnel. In the present study, reinforced concrete columns subjected to the blast loading is investigated and the numerical study of concrete spall is conducted. The spall depth is recorded and compared with the theoretical results derived from wave propagation theory. The parameters that affect the concrete spall damage are investigated.
Li, J & Hao, H 2014, 'Numerical study of concrete spall damage to blast loads', International Journal of Impact Engineering, vol. 68, pp. 41-55.
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Spall damage is a typical damage mode of concrete structures under blast or high velocity impact loads. Blast and impact loads generate a stress wave propagating in the structure. At the opposite side from which the structural element is impulsively loaded, spall will occur if the net primary stresses over an area exceed the concrete dynamic tensile strength and the resistance force such as the material dynamic bond and interlock. Fragments of structural element generated from spall damage could eject with large velocities, and impose significant threats to equipment and personnel even it does not necessarily greatly reduce the load carrying capacity of the structural components. In the present study, spall damage of generic reinforced concrete columns subjected to blast loads is investigated numerically. Three-dimensional numerical models are developed to predict the concrete spalling under blast loads. The accuracy of the numerical simulations is verified with blast testing data reported by other researchers. Intensive numerical simulations are then carried out to investigate the influences of the column dimensions and reinforcement mesh on concrete spall damage. Based on numerical simulation data, empirical relations are suggested to predict concrete spall damage based on explosion scenarios, column dimensions and reinforcement conditions. © 2014 Elsevier Ltd. All rights reserved.
Li, J, Masia, MJ, Stewart, MG & Lawrence, SJ 2014, 'Spatial variability and stochastic strength prediction of unreinforced masonry walls in vertical bending', Engineering Structures, vol. 59, pp. 787-797.
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The flexural bond strength of unreinforced masonry (URM) is a key material property affecting wall out-of-plane lateral load capacity. It is well known that the unit flexural bond strength (defined here as the flexural strength of the bond between the brick and lower mortar bed joint associated with any given masonry unit (brick)) varies considerably between units, and that this spatial variability might significantly affect the structural performance and reliability of URM walls in flexure. The paper develops a computational method to predict the strength for non-load bearing single skin URM walls subject to one-way vertical bending considering unit-to-unit spatial variability of flexural bond strength. We characterise the probability distributions of wall strength and examine how spatial variability in unit flexural bond strength affects the variability of base cracking load, mid-height cracking load, peak load and behaviour of clay brick URM walls. This is done using 3-D non-linear Finite Element Analyses (FEA) and stochastic analysis in the form of Monte Carlo simulations. Varying COVs (0.1, 0.3 and 0.5) of unit flexural bond strength are considered. The mean and variance of wall strength are estimated to show the effect of spatial variability of flexural bond strength on wall strength. The failure modes of the wall are compared to show the significant differences between non-spatial and spatial analyses. © 2013.
Li, J, Mei, H, Zheng, W, Pan, P, Sun, XJ, Li, F, Guo, F, Zhou, HM, Ma, JY, Xu, XX & Zheng, YF 2014, 'A novel hydrogen peroxide biosensor based on hemoglobin-collagen-CNTs composite nanofibers', Colloids and Surfaces B: Biointerfaces, vol. 118, pp. 77-82.
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Li, JC, Li, HB, Jiao, YY, Liu, YQ, Xia, X & Yu, C 2014, 'Analysis for oblique wave propagation across filled joints based on thin-layer interface model', Journal of Applied Geophysics, vol. 102, pp. 39-46.
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Li, JJ, Kaplan, DL & Zreiqat, H 2014, 'Scaffold-based regeneration of skeletal tissues to meet clinical challenges', J. Mater. Chem. B, vol. 2, no. 42, pp. 7272-7306.
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Scaffold-based tissue engineering strategies are being explored for the management and reconstruction of damaged or diseased skeletal tissues, the effective treatment of which has remained a significant global healthcare challenge.
Li, P, Bu, J, Yang, Y, Ji, R, Chen, C & Cai, D 2014, 'Discriminative Orthogonal Nonnegative matrix factorization with flexibility for data representation', Expert Systems with Applications, vol. 41, no. 4, pp. 1283-1293.
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Learning an informative data representation is of vital importance in multidisciplinary applications, e.g., face analysis, document clustering and collaborative filtering. As a very useful tool, Nonnegative matrix factorization (NMF) is often employed to learn a well-structured data representation. While the geometrical structure of the data has been studied in some previous NMF variants, the existing works typically neglect the discriminant information revealed by the between-class scatter and the total scatter of the data. To address this issue, we present a novel approach named Discriminative Orthogonal Nonnegative matrix factorization (DON), which preserves both the local manifold structure and the global discriminant information simultaneously through manifold discriminant learning. In particular, to learn the discriminant structure for the data representation, we introduce the scaled indicator matrix, which naturally satisfies the orthogonality condition. Thus, we impose the orthogonality constraints on the objective function. However, too heavy constraints will lead to a very sparse data representation that is unexpected in reality. So we further make this orthogonality flexible. In addition, we provide the optimization framework with the convergence proof of the updating rules. Extensive comparisons over several state-of-the-art approaches demonstrate the efficacy of the proposed method. © 2013 Elsevier Ltd. All rights reserved.
Li, P, Guo, S, Yu, S & Vasilakos, AV 2014, 'Reliable Multicast with Pipelined Network Coding Using Opportunistic Feeding and Routing', IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 12, pp. 3264-3273.
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Li, S, Long, Z, Liu, W, Duckham, M & Both, A 2014, 'On Redundant Topological Constraints', Artificial Intelligence, vol. 225, pp. 51-76.
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The Region Connection Calculus (RCC) is a well-known calculus forrepresenting part-whole and topological relations. It plays an important rolein qualitative spatial reasoning, geographical information science, andontology. The computational complexity of reasoning with RCC5 and RCC8 (twofragments of RCC) as well as other qualitative spatial/temporal calculi hasbeen investigated in depth in the literature. Most of these works focus on theconsistency of qualitative constraint networks. In this paper, we consider theimportant problem of redundant qualitative constraints. For a set $\Gamma$ ofqualitative constraints, we say a constraint $(x R y)$ in $\Gamma$ is redundantif it is entailed by the rest of $\Gamma$. A prime subnetwork of $\Gamma$ is asubset of $\Gamma$ which contains no redundant constraints and has the samesolution set as $\Gamma$. It is natural to ask how to compute such a primesubnetwork, and when it is unique. In this paper, we show that this problem is in general intractable, butbecomes tractable if $\Gamma$ is over a tractable subalgebra $\mathcal{S}$ of aqualitative calculus. Furthermore, if $\mathcal{S}$ is a subalgebra of RCC5 orRCC8 in which weak composition distributes over nonempty intersections, then$\Gamma$ has a unique prime subnetwork, which can be obtained in cubic time byremoving all redundant constraints simultaneously from $\Gamma$. As abyproduct, we show that any path-consistent network over such a distributivesubalgebra is weakly globally consistent and minimal. A thorough empiricalanalysis of the prime subnetwork upon real geographical data sets demonstratesthe approach is able to identify significantly more redundant constraints thanpreviously proposed algorithms, especially in constraint networks with largerproportions of partial overlap relations.
Li, W, Duan, L, Xu, D & Tsang, IW 2014, 'Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 6, pp. 1134-1148.
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Li, X, Li, J, Wang, J, Wang, H, He, B, Zhang, H, Guo, W & Ngo, HH 2014, 'Experimental investigation of local flux distribution and fouling behavior in double-end and dead-end submerged hollow fiber membrane modules', JOURNAL OF MEMBRANE SCIENCE, vol. 453, pp. 18-26.
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A new experimental method was proposed to obtain local fluxes along the membrane fibers of double-end and dead-end submerged hollow fiber membrane modules (SHFMMs) and to investigate the impact of average operating flux, fiber length and filtration modes (dead-end and double-end filtration) on local flux distribution. The relationship between the local flux and fouling behavior was monitored through the development of local fouling during filtration of 5 g/L yeast suspension using the non-invasive ultrasonic technique. The experimental results showed that the local flux distribution in the double-end SHFMM was more uniform than that in the dead-end SHFMM at the same operating conditions. Furthermore, the local flux obtained near the upper suction end of the double-end SHFMM was higher than that near the lower suction end. The difference value between the maximum and minimum local fluxes decreased with the decrease of fiber length and average operating flux in the double-end SHFMM. In addition, the ultrasonic measurements revealed that the behavior of fouling deposition on the membrane surface was consistent with the local flux distribution, which led to the self-adjustment and redistribution of local flux during the operation.
Li, X, Zhang, Z, Chen, L, Liu, Z, Cheng, J, Ni, W, Xie, E & Wang, B 2014, 'Cadmium sulfide quantum dots sensitized tin dioxide–titanium dioxide heterojunction for efficient photoelectrochemical hydrogen production', Journal of Power Sources, vol. 269, pp. 866-872.
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CdS quantum dots (QDs)-sensitized branched TiO2/SnO2 heterojunction (B-SnO2 NF-CdS) with suitable combination of band gap and band alignment constitutes a promising architecture for photoanode for H2 generation. This novel structure combines the conflicting advantageous features of slow interfacial electron recombination, long electron life time, fast electron transport and visible light absorption. Remarkable photocurrent density of 3.40 mA cm-2 at zero bias (vs. standard calomel electrode) has been obtained in a three electrode configuration, more than two times as large as that of TiO2-CdS photoanode. The B-SnO2 NF-CdS yields a high maximum applied bias photon-to-current efficiency (ABPE) of 2.18% at an applied bias of ∼0.316 V vs. reversible hydrogen electrode (RHE), indicating excellent hydrogen generation performance at low bias. Moreover, on the basis of experimental results, we ascribe the remarkable "dark current/voltage" to the effect of primary cell. The influence of the primary cell on PEC hydrogen production is discussed. © 2014 Elsevier B.V. All rights reserved.
Li, X-M, Zhao, B, Wang, Z, Xie, M, Song, J, Nghiem, LD, He, T, Yang, C, Li, C & Chen, G 2014, 'Water reclamation from shale gas drilling flow-back fluid using a novel forward osmosis-vacuum membrane distillation hybrid system', WATER SCIENCE AND TECHNOLOGY, vol. 69, no. 5, pp. 1036-1044.
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Li, Y & Jack Wang, J 2014, 'A Pedestrian Navigation System Based on Low Cost IMU', Journal of Navigation, vol. 67, no. 6, pp. 929-949.
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For indoor pedestrian navigation with a shoe-mounted inertial measurement unit (IMU), the zero velocity update (ZUPT) technique is implemented to constrain the sensors' error. ZUPT uses the fact that a stance phase appears in each step at zero velocity to correct IMU errors periodically. This paper introduces three main contributions we have achieved based on ZUPT. Since correct stance phase detection is critical for the success of applying ZUPT, we have developed a new approach to detect the stance phase of different gait styles, including walking, running and stair climbing. As the extension of ZUPT, we have proposed a new concept called constant velocity update (CUPT) to correct IMU errors on a moving platform with constant velocity, such as elevators or escalators where ZUPT is infeasible. A closed-loop step-wise smoothing algorithm has also been developed to eliminate discontinuities in the trajectory caused by sharp corrections. Experimental results demonstrate the effectiveness of the proposed algorithms.
Li, Y & Li, J 2014, 'Dynamic characteristics of a magnetorheological pin joint for civil structures', Frontiers of Mechanical Engineering, vol. 9, no. 1, pp. 15-33.
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Magnetorheological (MR) pin joint is a novel device in which its joint moment resistance can be controlled in real-time by altering the applied magnetic field. The smart pin joint is intended to be used as a controllable connector between the columns and beams of a civil structure to instantaneously shift the structural natural frequencies in order to avoid resonance and therefore to reduce unwanted vibrations and hence prevent structural damage. As an intrinsically nonlinear device, modelling of this MR fluid based device is a challenging task and makes the design of a suitable control algorithm a cumbersome situation. Aimed at its application in civil structure, the main purpose of this paper is to test and characterise the hysteretic behaviour of MR pin joint. A test scheme is designed to obtain the dynamic performance of MR pin joint in the dominant earthquake frequency range. Some unique phenomena different from those of MR damper are observed through the experimental testing. A computationally-efficient model is proposed by introducing a hyperbolic element to accurately reproduce its dynamic behaviour and to further facilitate the design of a suitable control algorithm. Comprehensive investigations on the model accuracy and dependences of the proposed model on loading condition (frequency and amplitude) and input current level are reported in the last section of this paper. © 2014 Higher Education Press and Springer-Verlag Berlin Heidelberg.
Li, Y, Li, J, Li, W & Du, H 2014, 'A state-of-the-art review on magnetorheological elastomer devices', SMART MATERIALS AND STRUCTURES, vol. 23, no. 12.
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© 2014 IOP Publishing Ltd. During the last few decades, magnetorheological (MR) elastomers have attracted a significant amount of attention for their enormous potential in engineering applications. Because they are a solid counterpart to MR fluids, MR elastomers exhibit a unique field-dependent material property when exposed to a magnetic field, and they overcome major issues faced in magnetorheological fluids, e.g. the deposition of iron particles, sealing problems and environmental contamination. Such advantages offer great potential for designing intelligent devices to be used in various engineering fields, especially in fields that involve vibration reduction and isolation. This paper presents a state of the art review on the recent progress of MR elastomer technology, with special emphasis on the research and development of MR elastomer devices and their applications. To keep the integrity of the knowledge, this review includes a brief introduction of MR elastomer materials and follows with a discussion of critical issues involved in designing magnetorheological elastomer devices, i.e. operation modes, coil placements and principle fundamentals. A comprehensive review has been presented on the research and development of MR elastomer devices, including vibration absorbers, vibration isolators, base isolators, sensing devices, and so on. A summary of the research on the modeling mechanical behavior for both the material and the devices is presented. Finally, the challenges and the potential facing magnetorheological elastomer technology are discussed, and suggestions have been made based on the authors' knowledge and experience.
Li, Y, Li, J, Tian, T & Li, W 2014, 'A highly adjustable magnetorheological elastomer base isolator for applications of real-time adaptive control (vol 22, 095020, 2013)', SMART MATERIALS AND STRUCTURES, vol. 23, no. 12.
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Li, Y, Yu, N & Ying, M 2014, 'Termination of nondeterministic quantum programs', ACTA INFORMATICA, vol. 51, no. 1, pp. 1-24.
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We define a language-independent model of nondeterministic quantum programs in which a quantum program consists of a finite set of quantum processes. These processes are represented by quantum Markov chains over the common state space, which formalize the quantum mechanical behaviors of the machine. An execution of a nondeterministic quantum program is modeled by a sequence of actions of individual processes, and at each step of an execution a process is chosen nondeterministically to perform the next action. This execution model formalize the users behavior of calling the processes in the classical world. Applying the model to a quantum walk as an instance of physically realizable systems, we describe an execution step by step. A characterization of reachable space and a characterization of diverging states of a nondeterministic quantum program are presented. We establish a zero-one law for termination probability of the states in the reachable space. A combination of these results leads to a necessary and sufficient condition for termination of nondeterministic quantum programs. Based on this condition, an algorithm is found for checking termination of nondeterministic quantum programs within a fixed finite-dimensional state space.
Li, Z, Zhang, B, Wang, Y, Chen, F, Taib, R, Whiffin, V & Wang, Y 2014, 'Water pipe condition assessment: a hierarchical beta process approach for sparse incident data', Machine Learning, vol. 95, no. 1, pp. 11-26.
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Liang, D-F & He, X-Z 2014, 'A comparison of conventional and shear-rate dependent Mohr-Coulomb models for simulating landslides', Journal of Mountain Science, vol. 11, no. 6, pp. 1478-1490.
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Liaquat, AM, Masjuki, HH, Kalam, MA & Rizwanul Fattah, IM 2014, 'Impact of biodiesel blend on injector deposit formation', Energy, vol. 72, pp. 813-823.
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LIM, K-M & RAHNAMA, SS 2014, 'CALCULATION OF ACOUSTIC RADIATION FORCE AND MOMENT IN MICROFLUIDIC DEVICES', International Journal of Modern Physics: Conference Series, vol. 34, pp. 1460380-1460380.
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The ability to compute the acoustic radiation force and torque acting on a particle is critical to the design of microfluidic devices and the operating conditions for separation of different species of particles or biological cells using this force field. Closed-form formulae had been reported in the literature for calculating the acoustic radiation force acting on simple geometries such as spheres and ellipsoids. Also, these analytical formulae are limited to objects that are small compared to the wavelength of sound in the surrounding fluid. Numerical methods provide a more flexible way to calculate the acoustic radiation force and torque on suspended objects of arbitrary shape and size. In this paper, we will present results of using the finite element method and the multipole expansion method to calculate the acoustic radiation force and moment. For harmonic excitation, the Helmholtz equation is solved for the velocity potential of the acoustic field with the appropriate boundary conditions imposed on the surface of the spherical or ellipsoidal objects. The resultant force and torque were then calculated by performing a surface integral of the second order, time-averaged Brillouin stress over the object. The numerical results show good agreement with the analytical results for small size spheres and ellipsoids. When the object size is comparable to the wavelength of the acoustic field, the analytical results breakdown and numerical methods are necessary to obtain accurate results.
Lin Chen, Dong Xu, Tsang, IW-H & Xuelong Li 2014, 'Spectral Embedded Hashing for Scalable Image Retrieval', IEEE Transactions on Cybernetics, vol. 44, no. 7, pp. 1180-1190.
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We propose a new graph based hashing method called spectral embedded hashing (SEH) for large-scale image retrieval. We first introduce a new regularizer into the objective function of the recent work spectral hashing to control the mismatch between the resultant hamming embedding and the low-dimensional data representation, which is obtained by using a linear regression function. This linear regression function can be employed to effectively handle the out-of-sample data, and the introduction of the new regularizer makes SEH better cope with the data sampled from a nonlinear manifold. Considering that SEH cannot efficiently cope with the high dimensional data, we further extend SEH to kernel SEH (KSEH) to improve the efficiency and effectiveness, in which a nonlinear regression function can also be employed to obtain the low dimensional data representation. We also develop a new method to efficiently solve the approximate solution for the eigenvalue decomposition problem in SEH and KSEH. Moreover, we show that some existing hashing methods are special cases of our KSEH. Our comprehensive experiments on CIFAR, Tiny-580K, NUS-WIDE, and Caltech-256 datasets clearly demonstrate the effectiveness of our methods.
Lin, C-T, Lin, B-S, Lin, F-C & Chang, C-J 2014, 'Brain Computer Interface-Based Smart Living Environmental Auto-Adjustment Control System in UPnP Home Networking', IEEE Systems Journal, vol. 8, no. 2, pp. 363-370.
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A brain computer interface-based smart living environmental auto-adjustment control system (BSLEACS) is proposed in this paper. Recently, many environmental control systems have been proposed to improve human quality of life. However, little research has focused on environmental control directly using the human physiological state. Based on the advantage of our technique on brain computer interface (BCI), we integrated the BCI technique with universal plug and play (UPnP) home networking for smart house applications. BSLEACS mainly consists of a wireless physiological signal acquisition module, an embedded signal processing module, a simple control protocol/power line communication environmental controller, and a host system. Here, the physiological signal acquisition module and embedded signal processing module were designed for long-term electroencephalogram (EEG) monitoring and backend analysis, respectively. The advantages of low power consumption and small volume of the above modules are suitable for smart house applications in daily life. Moreover, different from other BCI systems, the property of using only a single EEG channel to monitor cognitive state also makes BSLEACS become more practicable. BSLEACS has been verified in a practical demo room, and the environmental adjustment can be automatically controlled by the change of the user's cognitive state. BSLEACS provides a novel system prototype for environmental control, and can be simply extended and integrated with the UPnP home networking for other applications. © 2012 IEEE.
Lin, MS & Tomamichel, M 2014, 'Investigating Properties of a Family of Quantum Renyi Divergences', Quantum Information Processing, vol. 14, no. 4, pp. 1501-1512.
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Audenaert and Datta recently introduced a two-parameter family of relativeR\'{e}nyi entropies, known as the $\alpha$-$z$-relative R\'{e}nyi entropies.The definition of the $\alpha$-$z$-relative R\'{e}nyi entropy unifies allpreviously proposed definitions of the quantum R\'{e}nyi divergence of order$\alpha$ under a common framework. Here we will prove that the$\alpha$-$z$-relative R\'{e}nyi entropies are a proper generalization of thequantum relative entropy by computing the limit of the $\alpha$-$z$ divergenceas $\alpha$ approaches one and $z$ is an arbitrary function of $\alpha$. Wealso show that certain operationally relevant families of R\'enyi divergencesare differentiable at $\alpha = 1$. Finally, our analysis reveals that thederivative at $\alpha = 1$ evaluates to half the relative entropy variance, aquantity that has attained operational significance in second-order quantumhypothesis testing.
Ling, SH, San, PP, Chan, KY, Leung, FHF & Liu, Y 2014, 'An intelligent swarm based-wavelet neural network for affective mobile phone design', NEUROCOMPUTING, vol. 142, pp. 30-38.
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Ling, SSH, Chan, KY, Palade, V, Dillon, T, Nguyen, HT, Nguyen, TN & Chen, X-W 2014, 'Special issue on hybrid intelligent methods for health technologies', APPLIED SOFT COMPUTING, vol. 20, pp. 1-3.
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Linghu, K, Jiang, Z, Zhao, J, Li, F, Wei, D, Xu, J, Zhang, X & Zhao, X 2014, '3D FEM analysis of strip shape during multi-pass rolling in a 6-high CVC cold rolling mill', The International Journal of Advanced Manufacturing Technology, vol. 74, no. 9-12, pp. 1733-1745.
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© 2014, Springer-Verlag London. A 3D elastic–plastic finite element method (FEM) model of cold strip rolling for 6-high continuous variable crown (CVC) control rolling mill was developed. This model considers the boundary conditions such as accurate CVC curves, total rolling forces, total bending forces and roll shifting values. The rolling force distributions were obtained by the internal iteration processes instead of being treated as model boundary conditions. The calculated error has been significantly reduced by the developed model. Based on the rolling schedule data from a 1,850-mm CVC cold rolling mill, the absolute error between the simulated results and the actual values is obtained to be less than 10 μm and relative error is less than 1 %. The simulated results are in good agreement with the measured data. The developed model is significant in investigating the flatness control capability of the 6-high CVC cold rolling mill in terms of work roll bending forces, intermediate roll bending forces and intermediate roll shifting values.
Liu, A, Ingham, E, Fisher, J & Tipper, JL 2014, 'Generation of a large volume of clinically relevant nanometre-sized ultra-high-molecular-weight polyethylene wear particles for cell culture studies', Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, vol. 228, no. 4, pp. 418-426.
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It has recently been shown that the wear of ultra-high-molecular-weight polyethylene in hip and knee prostheses leads to the generation of nanometre-sized particles, in addition to micron-sized particles. The biological activity of nanometre-sized ultra-high-molecular-weight polyethylene wear particles has not, however, previously been studied due to difficulties in generating sufficient volumes of nanometre-sized ultra-high-molecular-weight polyethylene wear particles suitable for cell culture studies. In this study, wear simulation methods were investigated to generate a large volume of endotoxin-free clinically relevant nanometre-sized ultra-high-molecular-weight polyethylene wear particles. Both single-station and six-station multidirectional pin-on-plate wear simulators were used to generate ultra-high-molecular-weight polyethylene wear particles under sterile and non-sterile conditions. Microbial contamination and endotoxin levels in the lubricants were determined. The results indicated that microbial contamination was absent and endotoxin levels were low and within acceptable limits for the pharmaceutical industry, when a six-station pin-on-plate wear simulator was used to generate ultra-high-molecular-weight polyethylene wear particles in a non-sterile environment. Different pore-sized polycarbonate filters were investigated to isolate nanometre-sized ultra-high-molecular-weight polyethylene wear particles from the wear test lubricants. The use of the filter sequence of 10, 1, 0.1, 0.1 and 0.015 µm pore sizes allowed successful isolation of ultra-high-molecular-weight polyethylene wear particles with a size range of < 100 nm, which was suitable for cell culture studies.
Liu, B, Li, Y, Rong, B, Gui, L & Wu, Y 2014, 'LDPC-RS Product Codes for Digital Terrestrial Broadcasting Transmission System', IEEE Transactions on Broadcasting, vol. 60, no. 1, pp. 38-49.
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Liu, B, Liu, S, Rui, Y, Gui, L & Wang, Y 2014, 'A Low-Complexity Compressive Sensing Algorithm for PAPR Reduction', Wireless Personal Communications, vol. 78, no. 1, pp. 283-295.
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Liu, B, Xiao, Y, Yu, PS, Cao, L, Zhang, Y & Hao, Z 2014, 'Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams', IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 2, pp. 468-484.
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This paper presents a novel framework to uncertain one-class learning and concept summarization learning on uncertain data streams. Our proposed framework consists of two parts. First, we put forward uncertain one-class learning to cope with data of uncertainty. We first propose a local kernel-density-based method to generate a bound score for each instance, which refines the location of the corresponding instance, and then construct an uncertain one-class classifier (UOCC) by incorporating the generated bound score into a one-class SVM-based learning phase. Second, we propose a support vectors (SVs)-based clustering technique to summarize the concept of the user from the history chunks by representing the chunk data using support vectors of the uncertain one-class classifier developed on each chunk, and then extend k-mean clustering method to cluster history chunks into clusters so that we can summarize concept from the history chunks. Our proposed framework explicitly addresses the problem of one-class learning and concept summarization learning on uncertain one-class data streams. Extensive experiments on uncertain data streams demonstrate that our proposed uncertain one-class learning method performs better than others, and our concept summarization method can summarize the evolving interests of the user from the history chunks. © 1989-2012 IEEE.
Liu, B, Xiao, Y, Yu, PS, Hao, Z & Cao, L 2014, 'An efficient orientation distance–based discriminative feature extraction method for multi-classification', Knowledge and Information Systems, vol. 39, no. 2, pp. 409-433.
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Feature extraction is an important step before actual learning. Although many feature extraction methods have been proposed for clustering, classification and regression, very limited work has been done on multi-class classification problems. This paper proposes a novel feature extraction method, called orientation distance–based discriminative (ODD) feature extraction, particularly designed for multi-class classification problems. Our proposed method works in two steps. In the first step, we extend the Fisher Discriminant idea to determine an appropriate kernel function and map the input data with all classes into a feature space where the classes of the data are well separated. In the second step, we put forward two variants of ODD features, i.e., one-vs-all-based ODD and one-vs-one-based ODD features. We first construct hyper-plane (SVM) based on one-vs-all scheme or one-vs-one scheme in the feature space; we then extract one-vs-all-based or one-vs-one-based ODD features between a sample and each hyper-plane. These newly extracted ODD features are treated as the representative features and are thereafter used in the subsequent classification phase. Extensive experiments have been conducted to investigate the performance of one-vs-all-based and one-vs-one-based ODD features for multi-class classification. The statistical results show that the classification accuracy based on ODD features outperforms that of the state-of-the-art feature extraction methods.
Liu, H, Li, D, Kim, J & Zhong, Y 2014, 'Real-Time Implementation of Decoupled Controllers for Multirotor Aircrafts', Journal of Intelligent & Robotic Systems, vol. 73, no. 1-4, pp. 197-207.
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Liu, H, Liang, S, Gao, J, Ngo, HH, Guo, W, Guo, Z & Li, Y 2014, 'Development of biochars from pyrolysis of lotus stalks for Ni(II) sorption: Using zinc borate as flame retardant', JOURNAL OF ANALYTICAL AND APPLIED PYROLYSIS, vol. 107, pp. 336-341.
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In this work, zinc borate (ZB) was employed as flame retardant for preparation of biochar (BC). A series of BC samples were generated by varying the ZB to lotus stalks (LS) ratio (0.25, 0.5 and 1.0) under different temperatures (300, 350 and 400 ?C) for 1 h. The BCs were analyzed for their surface morphologies, surface areas, surface elemental compositions and yields. The results indicated that, after charring, ZB kept the structures of the produced BCs as its starting material (LS), dramatically enhancing their yields, and promoting their surface oxygen content. The BCs were used as adsorbent for removal of Ni(II) from aqueous solutions. Sorption of Ni(II) on the BCs was enhanced about 310 times compared with that of BCs derived from pyrolysis of LS without adding ZB.
Liu, H, Liang, S, Gao, J, Ngo, HH, Guo, W, Guo, Z, Wang, J & Li, Y 2014, 'Enhancement of Cr(VI) removal by modifying activated carbon developed from Zizania caduciflora with tartaric acid during phosphoric acid activation', CHEMICAL ENGINEERING JOURNAL, vol. 246, pp. 168-174.
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Tartaric acid (TA) was employed to modify Zizania caduciflora (ZC)-based activated carbon during phosphoric acid activation for improving its Cr(VI) removal from aqueous solutions. The original activated carbon (AC) and TA-modified activated carbon (ACTA) were characterized by N2 adsorption/desorption, Boehms titration and X-ray photoelectron spectroscopy (XPS) analysis. The Cr(VI) removal abilities of AC and ACTA were evaluated by batch sorption experiments. The residual Cr(VI) and total Cr concentration were determined to investigated the ``Sorption-coupled reduction mechanism. Equilibrium data for the Cr(VI) removal on AC and ACTA were well described by the Freundlich model. The ACTA exhibited much higher Cr(VI) and total Cr sorption capacities than AC. After blocking of carboxyl and hydroxyl functional groups, the carbons showed obviously higher Cr(VI) and total Cr removal than the original AC and ACTA, indicating that electrostatic attraction played an important role on Cr(VI) removal. The higher Cr(VI) removal on ACTA was attributed to its higher amount of oxygen-containing functional groups, which provided more electrons for Cr(VI) reduction and more positive sites for the produced Cr(III) sorption.
Liu, H, Zhu, X, Boon, CC, Yi, X, Mao, M & Yang, W 2014, 'Design of Ultra-Low Phase Noise and High Power Integrated Oscillator in $0.25~\mu{\rm m}$ GaN-on-SiC HEMT Technology', IEEE Microwave and Wireless Components Letters, vol. 24, no. 2, pp. 120-122.
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Traditionally, the majority of microwave oscillators are implemented on gallium arsenide (GaAs), indium phosphide (InP), or silicon germanium (SiGe) technology. As a result, they often have a relatively low output power level requiring the use of additional power amplifiers (PA). This leads to increased system complexity, cost and even causes reliability issues. Gallium nitride (GaN) high electron-mobility transistors (HEMTs) have been recognized as high power and high frequency device for next generation wireless, space, military and many other applications. The fundamental material properties of GaN allow much higher voltage handling and better heat sinking capability compared to InGaP and SiGe [1]. These material advantages enable oscillators to be realized with significant improvement in output power, potentially eliminating the need for additional PAs. Therefore, the research on high power integrated oscillator design in GaN HEMTs technology has attracted much attention in the literature [2]–[3][4][5][6][7][8].
Liu, H-D, Yang, M, Gao, Y & Cao, L 2014, 'Fast Local Histogram Specification', IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 11, pp. 1833-1843.
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Local histogram specification (LHS) is a useful technique for image processing. However, LHS faces a critical computational challenge when it is applied to high-resolution high-precision images. The calculation of the values in the cumulative distribution function (CDF) and the mapped value for the central pixel in each sliding window is time consuming with the computational complexity O(s + L) of the state-of-the-art techniques, where s is the side length of the square window and L is the number of gray levels. In this paper, we propose a fast algorithm for LHS, called fast local histogram specification (FLHS). FLHS reduces the complexity of calculating the CDF value for the central pixel in each sliding window to O(s + root L), and the time complexity for the mapping procedure in each window to O(log L). This results in the overall time complexity of LHS reduced from O(s + L) to O(s + root L) in each sliding window. Theoretical analysis shows that the newly developed algorithm is efficient. Experimental results on the 8-bit and high-resolution high-precision (16-bit) images demonstrate the efficiency of our proposed algorithm.
Liu, J, Yang, Y, Huang, Z, Yang, Y & Shen, HT 2014, 'On the Influence Propagation of Web Videos', IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 8, pp. 1961-1973.
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We propose a novel approach to analyze how a popular video is propagated in the cyberspace, to identify if it originated from a certain sharing-site, and to identify how it reached the current popularity in its propagation. In addition, we also estimate their influences across different websites outside the major hosting website. Web video is gaining significance due to its rich and eye-ball grabbing content. This phenomenon is evidently amplified and accelerated by the advance of Web 2.0. When a video receives some degree of popularity, it tends to appear on various websites including not only video-sharing websites but also news websites, social networks or even Wikipedia. Numerous video-sharing websites have hosted videos that reached a phenomenal level of visibility and popularity in the entire cyberspace. As a result, it is becoming more difficult to determine how the propagation took place-was the video a piece of original work that was intentionally uploaded to its major hosting site by the authors, or did the video originate from some small site then reached the sharing site after already getting a good level of popularity, or did it originate from other places in the cyberspace but the sharing site made it popular. Existing study regarding this flow of influence is lacking. Literature that discuss the problem of estimating a video's influence in the whole cyberspace also remains rare. In this article we introduce a novel framework to identify the propagation of popular videos from its major hosting site's perspective, and to estimate its influence. We define a Unified Virtual Community Space (UVCS) to model the propagation and influence of a video, and devise a novel learning method called Noise-reductive Local-and-Global Learning (NLGL) to effectively estimate a video's origin and influence. Without losing generality, we conduct experiments on annotated dataset collected from a major video sharing site to evaluate the effectiveness of the fram...
Liu, J, Zhang, P, Yu, T, Yang, Y & Qiu, H 2014, '[Effects of losartan on pulmonary dendritic cells in lipopolysaccharide- induced acute lung injury mice].', Zhonghua Yi Xue Za Zhi, vol. 94, no. 41, pp. 3216-3219.
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OBJECTIVE: To assess the effects of losartan on the frequency and phenotype of respiratory dendritic cells (DC) in lipopolysaccharide (LPS)-induced acute lung injury (ALI) mice. METHODS: The C57BL/6 mice were randomly divided into 3 groups of control, ALI and ALI+losartan. ALI animals received 2 mg/kg of LPS; ALI+losartan animals 2 mg/kg of LPS and 15 mg/kg of losartan 30 min before an intratracheal injection of LPS; control animals phosphate buffer saline (PBS) instead of LPS. Lung wet weight/body weight (LW/BW) was recorded to assess lung injury. The pathological changes were examined under optical microscope. The frequency and phenotype of pulmonary DC were characterized by flow cytometry. Meanwhile, the levels of IL-6 in lung homogenates were assessed by enzyme-linked immunosorbent assay (ELISA). RESULTS: (1) The LPS-induced rise in LW/BW was partially prevented by a pretreatment of losartan. (2) Histologically, widespread alveolar wall thickening caused by edema, severe hemorrhage in interstitium and alveolus and marked and diffuse interstitial infiltration of inflammatory cells were observed in the ALI group. Whereas, losartan effectively attenuated the LPS-induced pulmonary hemorrhage, leukocytic infiltration in interstitium and alveolus. (3) Meanwhile, the levels of IL-6 in lung tissue were significantly enhanced in the LPS-induced ALI mice. Yet after a pretreatment of losartan, the pulmonary level of IL-6 markedly decreased. (4) LPS dosing resulted in a rapid accumulation of DC in lung tissues and an up-regulated expression of CD80 in LPS-induced ALI. In contrast, the expression of MHC II on respiratory DC was not significantly different among groups. A pretreatment of losartan led to a marked reduction in CD80 expression on pulmonary DC (P < 0.05 vs ALI). CONCLUSION: Losartan may down-regulate pulmonary injury by inhibiting the activation of pulmonary DC.
Liu, K, Law, SS, Xia, Y & Zhu, XQ 2014, 'Singular spectrum analysis for enhancing the sensitivity in structural damage detection', Journal of Sound and Vibration, vol. 333, no. 2, pp. 392-417.
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Time domain structural condition assessment methods have been studied extensively in the last two decades due to their effectiveness in dealing with limited and short duration measurements from a structure under operational conditions. The sensitivity-based method is revisited in this paper with an enhancement in the sensitivity with respect to local damages via the singular spectrum analysis technique. The measured response of the structure is decomposed and the sensitivity vectors as well as the computed response vectors are projected into the corresponding decomposition subspace. The projected identification equations associate with components which contain the least measurement noise and the most damage information are then used to detect local damages in the structure. The enhanced sensitivity-based method is shown to be capable of yielding more accurate identified results with noisy measurement in a planar truss structure compared to conventional sensitivity-based method. A seven-storey steel frame test is performed in the laboratory, and the proposed method is checked to be able to identify the damage location and extend of this structure with an acceptable accuracy. © 2013 Elsevier Ltd.
Liu, K, Law, SS, Zhu, XQ & Xia, Y 2014, 'Explicit form of an implicit method for inverse force identification', Journal of Sound and Vibration, vol. 333, no. 3, pp. 730-744.
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Most existing time domain force identification methods are based on the state space method, which has the disadvantage of large discretization error with a low sampling frequency or a long sampling duration. This work transforms the conventional implicit Newmark-β algorithm into an explicit form for the solution of the Ax=b equations, which is an equivalent transformation, and it exhibits the same characteristics of Newmark-β algorithm as an implicit method. The accuracy of this method for the dynamic force identification is illustrated with two shear-frame buildings and a planar truss structure. Numerical results are compared with reference analytical responses. The new method gives more accurate identified force time histories compared with those from the conventional state space method for multiple sinusoidal and white noise excitations with 10% measurement noise in the responses. © 2013 Elsevier Ltd.
Liu, P, Gao, B, Shon, HK, Ma, D, Rong, H, Zhao, P, Zhao, S, Yue, Q & Li, Q 2014, 'Water flux behavior of blended solutions of ammonium bicarbonate mixed with eight salts respectively as draw solutions in forward osmosis', Desalination, vol. 353, pp. 39-47.
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Liu, Q, Chen, Y-PP & Li, J 2014, 'k-Partite cliques of protein interactions: A novel subgraph topology for functional coherence analysis on PPI networks', Journal of Theoretical Biology, vol. 340, pp. 146-154.
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Liu, Q, Hoi, SCH, Kwoh, CK, Wong, L & Li, J 2014, 'Integrating water exclusion theory into beta contacts to predict binding free energy changes and binding hot spots', BMC BIOINFORMATICS, vol. 15, no. 1.
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Background: Binding free energy and binding hot spots at protein-protein interfaces are two important research areas for understanding protein interactions. Computational methods have been developed previously for accurate prediction of binding free energy change upon mutation for interfacial residues. However, a large number of interrupted and unimportant atomic contacts are used in the training phase which caused accuracy loss.Results: This work proposes a new method, βACVASA, to predict the change of binding free energy after alanine mutations. βACVASA integrates accessible surface area (ASA) and our newly defined β contacts together into an atomic contact vector (ACV). A β contact between two atoms is a direct contact without being interrupted by any other atom between them. A β contact's potential contribution to protein binding is also supposed to be inversely proportional to its ASA to follow the water exclusion hypothesis of binding hot spots. Tested on a dataset of 396 alanine mutations, our method is found to be superior in classification performance to many other methods, including Robetta, FoldX, HotPOINT, an ACV method of β contacts without ASA integration, and ACVASA methods (similar to βACVASA but based on distance-cutoff contacts). Based on our data analysis and results, we can draw conclusions that: (i) our method is powerful in the prediction of binding free energy change after alanine mutation; (ii) β contacts are better than distance-cutoff contacts for modeling the well-organized protein-binding interfaces; (iii) β contacts usually are only a small fraction number of the distance-based contacts; and (iv) water exclusion is a necessary condition for a residue to become a binding hot spot.Conclusions: βACVASA is designed using the advantages of both β contacts and water exclusion. It is an excellent tool to predict binding free energy changes and binding hot spots after alanine mutation. © 2014 Liu et al.; licensee BioMed Central Ltd.
Liu, Q, Li, Z & Li, J 2014, 'Use B-factor related features for accurate classification between protein binding interfaces and crystal packing contacts', BMC Bioinformatics, vol. 15, no. S16, pp. S3-S3.
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© 2014 Liu et al.; licensee BioMed Central Ltd. Background: Distinction between true protein interactions and crystal packing contacts is important for structural bioinformatics studies to respond to the need of accurate classification of the rapidly increasing protein structures. There are many unannotated crystal contacts and there also exist false annotations in this rapidly expanding volume of data. Previous tools have been proposed to address this problem. However, challenging issues still remain, such as low performance when the training and test data contain mixed interfaces having diverse sizes of contact areas. Methods and results: B factor is a measure to quantify the vibrational motion of an atom, a more relevant feature than interface size to characterize protein binding. We propose to use three features related to B factor for the classification between biological interfaces and crystal packing contacts. The first feature is the sum of the normalized B factors of the interfacial atoms in the contact area, the second is the average of the interfacial B factor per residue in the chain, and the third is the average number of interfacial atoms with a negative normalized B factor per residue in the chain. We investigate the distribution properties of these basic features and a compound feature on four datasets of biological binding and crystal packing, and on a protein binding-only dataset with known binding affinity. We also compare the cross-dataset classification performance of these features with existing methods and with a widely-used and the most effective feature interface area. The results demonstrate that our features outperform the interface area approach and the existing prediction methods remarkably for many tests on all of these datasets. Conclusions: The proposed B factor related features are more effective than interface area to distinguish crystal packing from biological binding interfaces. Our computational methods have a potent...
Liu, RP, Sutton, GJ & Collings, IB 2014, 'WLAN Power Save with Offset Listen Interval for Machine-to-Machine Communications', IEEE Transactions on Wireless Communications, vol. 13, no. 5, pp. 2552-2562.
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Liu, X, Wang, L, Zhang, J, Yin, J & Liu, H 2014, 'Global and local structure preservation for feature selection', IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 6, pp. 1083-1095.
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The recent literature indicates that preserving global pairwise sample similarity is of great importance for feature selection and that many existing selection criteria essentially work in this way. In this paper, we argue that besides global pairwise sample similarity, the local geometric structure of data is also critical and that these two factors play different roles in different learning scenarios. In order to show this, we propose a global and local structure preservation framework for feature selection (GLSPFS) which integrates both global pairwise sample similarity and local geometric data structure to conduct feature selection. To demonstrate the generality of our framework, we employ methods that are well known in the literature to model the local geometric data structure and develop three specific GLSPFS-based feature selection algorithms. Also, we develop an efficient optimization algorithm with proven global convergence to solve the resulting feature selection problem. A comprehensive experimental study is then conducted in order to compare our feature selection algorithms with many state-of-the-art ones in supervised, unsupervised, and semisupervised learning scenarios. The result indicates that: 1) our framework consistently achieves statistically significant improvement in selection performance when compared with the currently used algorithms; 2) in supervised and semisupervised learning scenarios, preserving global pairwise similarity is more important than preserving local geometric data structure; 3) in the unsupervised scenario, preserving local geometric data structure becomes clearly more important; and 4) the best feature selection performance is always obtained when the two factors are appropriately integrated. In summary, this paper not only validates the advantages of the proposed GLSPFS framework but also gains more insight into the information to be preserved in different feature selection tasks. © 2012 IEEE.
Liu, Y, Li, H, Xiao, K, Li, J, Xia, X & Liu, B 2014, 'Seismic stability analysis of a layered rock slope', Computers and Geotechnics, vol. 55, pp. 474-481.
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Liu, Z, Li, J, Yang, L, Chen, Q, Chu, Y & Dai, N 2014, 'Efficient near-infrared quantum cutting in Ce3+–Yb3+ codoped glass for solar photovoltaic', Solar Energy Materials and Solar Cells, vol. 122, pp. 46-50.
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Liu, Z, Xing, D, Su, QP, Zhu, Y, Zhang, J, Kong, X, Xue, B, Wang, S, Sun, H, Tao, Y & Sun, Y 2014, 'Super-resolution imaging and tracking of protein–protein interactions in sub-diffraction cellular space', Nature Communications, vol. 5, no. 1, pp. 1-8.
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AbstractImaging the location and dynamics of individual interacting protein pairs is essential but often difficult because of the fluorescent background from other paired and non-paired molecules, particularly in the sub-diffraction cellular space. Here we develop a new method combining bimolecular fluorescence complementation and photoactivated localization microscopy for super-resolution imaging and single-molecule tracking of specific protein–protein interactions. The method is used to study the interaction of two abundant proteins, MreB and EF-Tu, in Escherichia coli cells. The super-resolution imaging shows interesting distribution and domain sizes of interacting MreB–EF-Tu pairs as a subpopulation of total EF-Tu. The single-molecule tracking of MreB, EF-Tu and MreB–EF-Tu pairs reveals intriguing localization-dependent heterogonous dynamics and provides valuable insights to understanding the roles of MreB–EF-Tu interactions.
Llopis-Albert, C, Palacios-Marqués, D & Merigó, JM 2014, 'A coupled stochastic inverse-management framework for dealing with nonpoint agriculture pollution under groundwater parameter uncertainty', Journal of Hydrology, vol. 511, pp. 10-16.
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Lloret-Cabot, M, Wheeler, SJ, Pineda, JA, Sheng, D & Gens, A 2014, 'Relative performance of two unsaturated soil models using different constitutive variables', Canadian Geotechnical Journal, vol. 51, no. 12, pp. 1423-1437.
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Mechanical and water retention behaviour of unsaturated soils is investigated in the context of two well established coupled constitutive models, each of which is formulated in terms of a different set of stress state variables or constitutive variables. Incremental relationships describing the volume change and variation of the degree of saturation are derived for each model. These incremental relationships are used to simulate a set of experimental tests on compacted Speswhite kaolin previously reported in the literature. Six individual tests, involving isotropic compression and various forms of shearing, are analyzed in the context of the incremental forms developed, and the model predictions are then compared against experimental results. The results show that, although each constitutive model uses a different set of constitutive variables and a different scheme for coupling mechanical and water retention behaviour, the two sets of model predictions are similar and both sets provide a reasonable match to the experimental results, suggesting that both models are able to capture the relevant features of unsaturated soil behaviour, despite expressing the constitutive laws in different ways.
Loganathan, P, Vigneswaran, S, Kandasamy, J & Bolan, NS 2014, 'Removal and Recovery of Phosphate From Water Using Sorption', CRITICAL REVIEWS IN ENVIRONMENTAL SCIENCE AND TECHNOLOGY, vol. 44, no. 8, pp. 847-907.
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Sorption is an effective, reliable, and environmentally friendly treatment process for the removal of phosphorus from wastewater sources which otherwise can cause eutrophication of receiving waters. Phosphorus in wastewater, if economically recovered, can partly overcome the future scarcity of phosphorus resulting from exhaustion of natural phosphate rock reserves. The authors present a comprehensive and critical review of the literature on the effectiveness of a number of sorbents, especially some novel ones that have recently emerged, in removing and recovering phosphate. Mechanisms and thermodynamics of sorption, as well as regeneration of sorbents for reuse using acids, bases, and salts, are critically examined. © 2014 Copyright Taylor & Francis Group, LLC.
Lu, HN, Wei, DB & Jiang, ZY 2014, 'Investigation on Dimensional Accuracy in Micro Cross Wedge Rolling of Metals', Key Engineering Materials, vol. 622-623, pp. 943-948.
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A novel microforming process - Micro Cross Wedge Rolling (MCWR) has been developed. It is a very promising technology in the field of microforming due to its advantages such as high product rate and minimised material consumption. How to control geometrical accuracy of the produced micro parts is one of the major challenges in the development of microforming technology. Geometrical accuracy was still concentrated in term of springback. When the wedge tools loads are removed after forming step, a portion of the deformation recovers, which causes a change in the shape of micro parts. In other word, springback happens, which should be determined and controlled especially in microforming technology. A series of MCWR experiments of pure copper and aluminium have been carried out using the machine designed by authors in this study. Cylindrical workpieces were deformed into stepped shafts with cross-sectional area reductions of 35, 52.73 and 75%. Corresponding finite element simulation has also been conducted in consideration of the size effect on the material flow. The springback was proposed to account for the geometrical error of micro products. The effect of grained heterogeneity on the height of surface asperity after rolling was assessed quantitatively.Keywords: Micro cross wedge rolling, Size effect, Dimensional accuracy, Springback
Lu, L, Du, H & Liu, RP 2014, 'CHOKeR: A Novel AQM Algorithm With Proportional Bandwidth Allocation and TCP Protection', IEEE Transactions on Industrial Informatics, vol. 10, no. 1, pp. 637-644.
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Although differentiated services (DiffServ) networks have been well discussed in the past several years, a conventional Active Queue Management (AQM) algorithm still cannot provide low-complexity and cost-effective differentiated bandwidth allocation in DiffServ. In this paper, a novel AQM scheme called CHOKeR is designed to protect TCP flows effectively. We adopt a method from CHOKeW to draw multiple packets randomly from the output buffer. CHOKeR enhances the drawing factor by using a multistep increase and single-step decrease (MISD) mechanism. In order to explain the features of CHOKeR, an analytical model is used, followed by extensive simulations to evaluate the performance of CHOKeR. The analytical model and simulation results demonstrate that CHOKeR achieves proportional bandwidth allocation between different priority levels, fairness guarantee among equal priority flows, and protection of TCP against high-speed unresponsive flows when network congestion occurs. © 2005-2012 IEEE.
Lu, N, Lin, H, Lu, J & Zhang, G 2014, 'A Customer Churn Prediction Model in Telecom Industry Using Boosting', IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, vol. 10, no. 2, pp. 1659-1665.
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With the rapid growth of digital systems and associated information technologies, there is an emerging trend in the global economy to build digital customer relationship management (CRM) systems. This trend is more obvious in the telecommunications industry, where companies become increasingly digitalized. Customer churn prediction is a main feature of in modern telecomcommunication CRM systems. This research conducts a real-world study on customer churn prediction and proposes the use of boosting to enhance a customer churn prediction model. Unlike most research that uses boosting as a method to boost the accuracy of a given basis learner, this paper tries to separate customers into two clusters based on the weight assigned by the boosting algorithm. As a result, a higher risk customer cluster has been identified. Logistic regression is used in this research as a basis learner, and a churn prediction model is built on each cluster, respectively. The result is compared with a single logistic regression model. Experimental evaluation reveals that boosting also provides a good separation of churn data; thus, boosting is suggested for churn prediction analysis. © 2012 IEEE.
Lu, N, Zhang, G & Lu, J 2014, 'Concept drift detection via competence models', ARTIFICIAL INTELLIGENCE, vol. 209, no. 1, pp. 11-28.
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Detecting changes of concepts, such as a change of customer preference for telecom services, is very important in terms of prediction and decision applications in dynamic environments. In particular, for case-based reasoning systems, it is important to know when and how concept drift can effectively assist decision makers to perform smarter maintenance operations at an appropriate time. This paper presents a novel method for detecting concept drift in a case-based reasoning system. Rather than measuring the actual case distribution, we introduce a new competence model that detects differences through changes in competence. Our competence-based concept detection method requires no prior knowledge of case distribution and provides statistical guarantees on the reliability of the changes detected, as well as meaningful descriptions and quantification of these changes. This research concludes that changes in data distribution do reflect upon competence. Eight sets of experiments under three categories demonstrate that our method effectively detects concept drift and highlights drifting competence areas accurately. These results directly contribute to the research that tackles concept drift in case-based reasoning, and to competence model studies. © 2014 Elsevier B.V.
Lu, S, Mei, T, Wang, J, Zhang, J, Wang, Z & Li, S 2014, 'Browse-to-Search', ACM Transactions on Information Systems, vol. 32, no. 4, pp. 1-27.
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With the development of image search technology, users are no longer satisfied with searching for images using just metadata and textual descriptions. Instead, more search demands are focused on retrieving images based on similarities in their contents (textures, colors, shapes etc.). Nevertheless, one image may deliver rich or complex content and multiple interests. Sometimes users do not sufficiently define or describe their seeking demands for images even when general search interests appear, owing to a lack of specific knowledge to express their intents. A new form of information seeking activity, referred to as exploratory search, is emerging in the research community, which generally combines browsing and searching content together to help users gain additional knowledge and form accurate queries, thereby assisting the users with their seeking and investigation activities. However, there have been few attempts at addressing integrated exploratory search solutions when image browsing is incorporated into the exploring loop. In this work, we investigate the challenges of understanding users' search interests from the images being browsed and infer their actual search intentions. We develop a novel system to explore an effective and efficient way for allowing users to seamlessly switch between browse and search processes, and naturally complete visual-based exploratory search tasks. The system, called Browse-to-Search enables users to specify their visual search interests by circling any visual objects in the webpages being browsed, and then the system automatically forms the visual entities to represent users' underlying intent. One visual entity is not limited by the original image content, but also encapsulated by the textual-based browsing context and the associated heterogeneous attributes. We use large-scale image search technology to find the associated textual attributes ...
Lu, Y, Lu, J, Zhao, J, Cusido, J, Raymo, FM, Yuan, J, Yang, S, Leif, RC, Huo, Y, Piper, JA, Paul Robinson, J, Goldys, EM & Jin, D 2014, 'On-the-fly decoding luminescence lifetimes in the microsecond region for lanthanide-encoded suspension arrays', Nature Communications, vol. 5, no. 1, pp. 1-8.
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Significant multiplexing capacity of optical time-domain coding has been recently demonstrated by tuning luminescence lifetimes of the upconversion nanoparticles called 'τ-Dots'. It provides a large dynamic range of lifetimes from microseconds to milliseconds, which allows creating large libraries of nanotags/microcarriers. However, a robust approach is required to rapidly and accurately measure the luminescence lifetimes from the relatively slow-decaying signals. Here we show a fast algorithm suitable for the microsecond region with precision closely approaching the theoretical limit and compatible with the rapid scanning cytometry technique.We exploit this approach to further extend optical time-domain multiplexing to the downconversion luminescence, using luminescence microspheres wherein lifetimes are tuned through luminescence resonance energy transfer.We demonstrate real-time discrimination of these microspheres in the rapid scanning cytometry, and apply them to the multiplexed probing of pathogen DNA strands. Our results indicate that tunable luminescence lifetimes have considerable potential in high-throughput analytical sciences. © 2014 Macmillan Publishers Limited. All rights reserved.
Lund, T, Francis, C, Pederson, K, Lieblein, G & Rahman, MH 2014, 'Translating Knowledge into Action at the Norwegian University of Life Sciences (UMB)', The Journal of Agricultural Education and Extension, vol. 20, no. 5, pp. 537-554.
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We often take the built environment for granted without realising the benefits it brings. It clearly influences our quality of life; well designed schools contribute to educational attainment, hospitals to patient outcomes, offices to productivity, public open space to recreation and well-being, while attractive towns and cities generate civic pride and tourism. The converse is also true; more policing and healthcare are needed where the built environment is poor. Alongside the issue of social outcomes is the increasingly important risk of environmental impact, including climate change. We urgently need to be providing facilities that minimise resource use in their construction, minimise energy and water requirements, and limit damage to the natural world. The Interdisciplinary Design for the Built Environment (IDBE) masters course aims to equip all its students with the skills needed to meet these challenges. An underlying principle of the course is that this demands effective interdisciplinary understanding and collaborative working. The course aims to help members of multi-disciplinary teams to work together effectively, harnessing their knowledge and expertise in the design and delivery of an integrated product.
Lunghi, T, Kaniewski, J, Bussieres, F, Houlmann, R, Tomamichel, M, Wehner, S & Zbinden, H 2014, 'Practical relativistic bit commitment', Phys. Rev. Lett., vol. 115, no. 3, p. 030502.
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Bit commitment is a fundamental cryptographic primitive in which Alice wishesto commit a secret bit to Bob. Perfectly secure bit commitment between twomistrustful parties is impossible through asynchronous exchange of quantuminformation. Perfect security is however possible when Alice and Bob each splitinto several agents exchanging classical information at times and locationssuitably chosen to satisfy specific relativistic constraints. In this Letter wefirst revisit a previously proposed scheme that realizes bit commitment usingonly classical communication. We prove that the protocol is secure againstquantum adversaries for a duration limited by the light-speed communicationtime between the locations of the agents. We then propose a novel multi-roundscheme based on finite-field arithmetic that extends the commitment time beyondthis limit, and we prove its security against classical attacks. Finally, wepresent an implementation of these protocols using dedicated hardware and weshow how it could be used to realize commitments of duration ranging up to 212milliseconds by agents occupying antipodal locations on the Earth.
Luo, L, Jiang, Z, Lu, H, Wei, D, Linghu, K, Zhao, X & Wu, D 2014, 'Optimisation of Size-controllable Centroidal Voronoi Tessellation for FEM Simulation of Micro Forming Processes', Procedia Engineering, vol. 81, pp. 2409-2414.
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Voronoi tessellation has been employed to characterise material features in Finite Element Method (FEM) simulation, however, a poor mesh quality of the voronoi tessellations causes problems in explicit dynamic simulation of forming processes. Although centroidal voronoi tessellation can partly improve the mesh quality by homogenisation of voronoi tessellations, small features, such as short edges and small facets, lead to an inferior mesh quality. Further, centroidal voronoi tessellation cannot represent all real micro structures of materials because of the almost equal tessellation shape and size. In this paper, a density function is applied to control the size and distribution of voronoi tessellations and then a Laplacian operator is employed to optimise the centroidal voronoi tessellations. After optimisation, the small features can be eliminated and the elements are quadrilateral in 2D and hexahedral in 3D cases. Moreover, the mesh quality is significantly higher than that of the mesh generated on the original voronoi or centroidal voronoi tessellation. This work is beneficial for explicit dynamic simulation of forming processes, such as micro deep drawing processes.
Luo, L, Jiang, ZY, Wei, DB & He, X 2014, 'Study on Micro Hydroforming of Metals', Advanced Materials Research, vol. 887-888, pp. 1133-1138.
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Micro hydroforming has an ability to manufacture complex 3D micro parts at a high production rate and has drawn increasing attentions. Brief understanding of macro hydroforming, for instance, deep drawing, is necessary to understand the principle of micro hydroforming. Then, special phenomena, such as size effects, occurred at micro scale are discussed and the related theories explaining these phenomena are introduced. Based on the similarities and differences between micro and macro hydroforming, experiments and simulation which consider the size effects are reviewed.
Luo, W, Hai, FI, Price, WE, Guo, W, Ngo, HH, Yamamoto, K & Nghiem, LD 2014, 'High retention membrane bioreactors: Challenges and opportunities', BIORESOURCE TECHNOLOGY, vol. 167, pp. 539-546.
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Extensive research has focussed on the development of novel high retention membrane bioreactor (HRMBR) systems for wastewater reclamation in recent years. HR-MBR integrates high rejection membrane separation with conventional biological treatment in a single step. High rejection membrane separation processes currently used in HR-MBR applications include nanofiltration, forward osmosis, and membrane distillation. In these HR-MBR systems, organic contaminants can be effectively retained, prolonging their retention time in the bioreactor and thus enhancing their biodegradation. Therefore, HR-MBR can offer a reliable and elegant solution to produce high quality effluent. However, there are several technological challenges associated with the development of HR-MBR, including salinity build-up, low permeate flux, and membrane degradation. This paper provides a critical review on these challenges and potential opportunities of HR-MBR for wastewater treatment and water reclamation, and aims to guide and inform future research on HR-MBR for fast commercialisation of this innovative technology.
Luo, WH, Yuan, J, Luo, YM, Li, GX, Nghiem, LD & Price, WE 2014, 'Effects of mixing and covering with mature compost on gaseous emissions during composting', Chemosphere, vol. 117, pp. 14-19.
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Luo, X, Liu, H & Xuan, J 2014, 'Website Interaction Network.', J. Organ. Comput. Electron. Commer., vol. 24, no. 2-3, pp. 215-235.
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Luo, X, Xuan, J & Liu, H 2014, 'Web Event State Prediction Model: Combining Prior Knowledge with Real Time Data.', J. Web Eng., vol. 13, no. 5-6, pp. 483-506.
Luo, Y, Guo, W, Ngo, HH, Nghiem, LD, Hai, FI, Kang, J, Xia, S, Zhang, Z & Price, WE 2014, 'Removal and fate of micropollutants in a sponge-based moving bed bioreactor', BIORESOURCE TECHNOLOGY, vol. 159, pp. 311-319.
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This study investigated the removal of micropollutants using polyurethane sponge as attached-growth carrier. Batch experiments demonstrated that micropollutants could adsorb to non-acclimatized sponge cubes to varying extents. Acclimatized sponge showed significantly enhanced removal of some less hydrophobic compounds (log. D<. 2.5), such as ibuprofen, acetaminophen, naproxen, and estriol, as compared with non-acclimatized sponge. The results for bench-scale sponge-based moving bed bioreactor (MBBR) system elucidated compound-specific variation in removal, ranging from 25.9% (carbamazepine) to 96.8% (β-Estradiol 17-acetate) on average. In the MBBR system, biodegradation served as a major removal pathway for most compounds. However, sorption to sludge phase was also a notable removal mechanism of some persistent micropollutants. Particularly, carbamazepine, ketoprofen and pentachlorophenol were found at high concentrations (7.87, 6.05 and 5.55. μg/g, respectively) on suspended biosolids. As a whole, the effectiveness of MBBR for micropollutant removal was comparable with those of activated sludge processes and MBRs. © 2014 Elsevier Ltd.
Luo, Y, Guo, W, Ngo, HH, Nghiem, LD, Hai, FI, Zhang, J, Liang, S & Wang, XC 2014, 'A review on the occurrence of micropollutants in the aquatic environment and their fate and removal during wastewater treatment', SCIENCE OF THE TOTAL ENVIRONMENT, vol. 473, pp. 619-641.
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Micropollutants are emerging as a new challenge to the scientific community. This review provides a summary of the recent occurrence of micropollutants in the aquatic environment including sewage, surface water, groundwater and drinking water. The discharge of treated effluent from WWTPs is a major pathway for the introduction of micropollutants to surface water. WWTPs act as primary barriers against the spread of micropollutants. WWTP removal efficiency of the selected micropollutants in 14 countries/regions depicts compound-specific variation in removal, ranging from 12.5 to 100%. Advanced treatment processes, such as activated carbon adsorption, advanced oxidation processes, nanofiltration, reverse osmosis, and membrane bioreactors can achieve higher and more consistent micropollutant removal. However, regardless of what technology is employed, the removal of micropollutants depends on physico-chemical properties of micropollutants and treatment conditions. The evaluation of micropollutant removal from municipal wastewater should cover a series of aspects from sources to end uses. After the release of micropollutants, a better understanding and modeling of their fate in surface water is essential for effectively predicting their impacts on the receiving environment. © 2013 Elsevier B.V.
Ma, J, Lu, J & Zhang, G 2014, 'A three-level-similarity measuring method of participant opinions in multiple-criteria group decision supports', DECISION SUPPORT SYSTEMS, vol. 59, no. 1, pp. 74-83.
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Measuring opinion similarity between participants is an important strategy to reduce the chance of making and applying inappropriate decisions in multi-criteria group decision making applications. Due to the small-sized opinion data and the varieties of opinion representations, measuring the similarity between opinions is difficult and has not been well-studied in developing decision support. Considering that the similarity changes with the number of concerned criteria, this paper develops a gradual aggregation algorithm and establishes a three-level-similarity measuring (TLSM) method based on it to measure the opinion similarity at the assessment level, the criterion level and the problem level. Two applications of the TLSM method on social policy selection and energy policy evaluation are conducted. The study indicates that the TLSM method can effectively measure the similarity between opinions in small-size with possibly missing values and simulate the dynamic generation of a decision. © 2013 Elsevier B.V. All rights reserved.
Ma, JL, Wu, CQ, Zhi, XD & Fan, F 2014, 'Prediction of Confined Blast Loading in Single-Layer Lattice Shells', Advances in Structural Engineering, vol. 17, no. 7, pp. 1029-1043.
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Single-layer lattice shells (also known as gridshells) are widely used for architecturally innovative structures. When an explosion occurs inside such a structure, confined blast loading on the structural components will be seriously affected by different factors, such as charge locations and weight, structural types and forms. Moreover, slight changes of blast loading perhaps result in various responses for such a complicated structure. In this paper, blast loads on single-layer lattice shell are calculated by AUTODYN software package. The effect of scaled distance, ratio of rise to span and ratio of height to span are investigated. Simplification of blast loading is studied, and the principles of equivalent loading process are validated with a 40 meters single-layer Kiewitt-8 reticulated dome. In order to predict the blast loading, a precise and simple model is derived from numerical results, which is suitable for a wide scope of single-layer lattice shells. Two applications with different charge weight, structural spans and forms are worked out by using the blast prediction model. Good agreements of comparisons are achieved between prediction model and numerical results.
Ma, XY, Wang, XC, Ngo, HH, Guo, W, Wu, MN & Wang, N 2014, 'Bioassay based luminescent bacteria: Interferences, improvements, and applications', SCIENCE OF THE TOTAL ENVIRONMENT, vol. 468, pp. 1-11.
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Due to the merits of being time-saving, cost effective and simple operation, the luminescent bacteria toxicity assay (LBTA) has been widely used for environmental pollution monitoring. Based on numerous studies since 2007, this critical review aims to give an overview on the mechanisms, developments and applications of LBTA. Firstly, based on the introduction of the mechanisms of LBTA, this review shows the interferences from the characteristics of testing samples (such as inorganic nutrients, color, turbidity) and summarizes the improvements on pretreatment method, test methods and test systems in recent years. Regarding the factors that affect the toxicity prediction of single chemicals, the correlation between the toxicity index expressed asmedian effective concentration (EC50) and characters (such as Kow, the alkyl chain length, the anion and the cation) of known chemicals, especially the emerging ionic liquids (ILs), were given an in-depth discussion. The models for predicting the joint effect of mixtures to luminescent bacteria were also presented. For the factors that affect the toxicity of actual waters, the correlation of toxicity of actual samples to luminescent bacteria and their conventional indexes were discussed. Comparing the sensitivity of the LBTA with other bioassays could indicate the feasibility of the LBTA applied on specific samples. The summary on the application of LBTA to environmental samples has been made to find the future research direction.
Ma, Z, Yang, Y, Nie, F, Sebe, N, Yan, S & Hauptmann, AG 2014, 'Harnessing Lab Knowledge for Real-World Action Recognition', INTERNATIONAL JOURNAL OF COMPUTER VISION, vol. 109, no. 1-2, pp. 60-73.
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Much research on human action recognition has been oriented toward the performance gain on lab-collected datasets. Yet real-world videos are more diverse, with more complicated actions and often only a few of them are precisely labeled. Thus, recognizing actions from these videos is a tough mission. The paucity of labeled real-world videos motivates us to 'borrow' strength from other resources. Specifically, considering that many lab datasets are available, we propose to harness lab datasets to facilitate the action recognition in real-world videos given that the lab and real-world datasets are related. As their action categories are usually inconsistent, we design a multi-task learning framework to jointly optimize the classifiers for both sides. The general Schatten $$p$ $ p -norm is exerted on the two classifiers to explore the shared knowledge between them. In this way, our framework is able to mine the shared knowledge between two datasets even if the two have different action categories, which is a major virtue of our method. The shared knowledge is further used to improve the action recognition in the real-world videos. Extensive experiments are performed on real-world datasets with promising results. © 2014 Springer Science+Business Media New York.
Ma, Z, Yang, Y, Sebe, N & Hauptmann, AG 2014, 'Knowledge Adaptation with PartiallyShared Features for Event DetectionUsing Few Exemplars', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, no. 9, pp. 1789-1802.
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Multimedia event detection (MED) is an emerging area of research. Previous work mainly focuses on simple event detection in sports and news videos, or abnormality detection in surveillance videos. In contrast, we focus on detecting more complicated and generic events that gain more users' interest, and we explore an effective solution for MED. Moreover, our solution only uses few positive examples since precisely labeled multimedia content is scarce in the real world. As the information from these few positive examples is limited, we propose using knowledge adaptation to facilitate event detection. Different from the state of the art, our algorithm is able to adapt knowledge from another source for MED even if the features of the source and the target are partially different, but overlapping. Avoiding the requirement that the two domains are consistent in feature types is desirable as data collection platforms change or augment their capabilities and we should be able to respond to this with little or no effort. We perform extensive experiments on real-world multimedia archives consisting of several challenging events. The results show that our approach outperforms several other state-of-the-art detection algorithms. © 1979-2012 IEEE.
Mahlia, TMI, Saktisahdan, TJ, Jannifar, A, Hasan, MH & Matseelar, HSC 2014, 'A review of available methods and development on energy storage; technology update', Renewable and Sustainable Energy Reviews, vol. 33, pp. 532-545.
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Mahlia, TMI, Wong, KV, Honnery, D & Hasan, MH 2014, 'Sensitivity analysis of potential fuel savings by implementation of fuel economy standards for motorcycle', Clean Technologies and Environmental Policy, vol. 16, no. 1, pp. 175-182.
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Mahmud, MA, Hossain, MJ & Pota, HR 2014, 'Transient stability enhancement of multimachine power systems using nonlinear observer-based excitation controller', International Journal of Electrical Power & Energy Systems, vol. 58, pp. 57-63.
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Mahmud, MA, Hossain, MJ & Pota, HR 2014, 'Voltage Variation on Distribution Networks With Distributed Generation: Worst Case Scenario', IEEE Systems Journal, vol. 8, no. 4, pp. 1096-1103.
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Mahmud, MA, Hossain, MJ, Pota, HR & Oo, AMT 2014, 'Robust Nonlinear Distributed Controller Design for Active and Reactive Power Sharing in Islanded Microgrids', IEEE Transactions on Energy Conversion, vol. 29, no. 4, pp. 893-903.
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Mahmud, MA, Hossain, MJ, Pota, HR & Roy, NK 2014, 'Robust Nonlinear Controller Design for Three-Phase Grid-Connected Photovoltaic Systems Under Structured Uncertainties', IEEE Transactions on Power Delivery, vol. 29, no. 3, pp. 1221-1230.
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Mahmud, MA, Pota, HR & Hossain, MJ 2014, 'Nonlinear Current Control Scheme for a Single-Phase Grid-Connected Photovoltaic System', IEEE Transactions on Sustainable Energy, vol. 5, no. 1, pp. 218-227.
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Mahmud, MA, Pota, HR, Aldeen, M & Hossain, MJ 2014, 'Partial Feedback Linearizing Excitation Controller for Multimachine Power Systems to Improve Transient Stability', IEEE Transactions on Power Systems, vol. 29, no. 2, pp. 561-571.
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Mahmud, MA, Pota, HR, Hossain, MJ & Roy, NK 2014, 'Robust Partial Feedback Linearizing Stabilization Scheme for Three-Phase Grid-Connected Photovoltaic Systems', IEEE Journal of Photovoltaics, vol. 4, no. 1, pp. 423-431.
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Mainali, B, Pham, TTN, Ngo, HH, Guo, W, Listowski, A, O'Halloran, K, Miechel, C, Muthukaruppan, M & Johnston, R 2014, 'Introduction and feasibility assessment of laundry use of recycled water in dual reticulation systems in Australia', SCIENCE OF THE TOTAL ENVIRONMENT, vol. 470, pp. 34-43.
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Laundry is a potential new end use of recycled water in dual reticulation systems. Generally, the community is willing to accept this new end use if it can meet the concerns on health issues, durability of washing machine, cloth quality and aesthetic appearance. This study addresses all these major concerns thereby assisting in the introduction and promotion of this new end use in the existing and proposed dual reticulation systems. Five representative cloth materials were selected for washing in tap water and in recycled water for up to 50 wash cycles for comparative studies. The tearing/tensile strength tests were used for the assessment of cloth durability. ANOVA one way test was applied for the significance analysis (Tukey's test p. <. 0.05) which indicated that there is no significant change in the tensile/tearing strengths of washed cloth samples. Scanning electron microscope (SEM) images of the washed cloth samples found no distinct change in surface morphology. Textile colour analysis (CIEDE2000) analysed the variation in colour of the washed cloth samples and showed that the change in colour {increment}E ranges from 0-1 revealing no visible difference in colour of cloth samples. Langelier Saturation Index (LSI) was used as the indicator for predicting corrosive/scaling potential of recycled water. The LSI values ranged from +. 0.5 to - 0.5, indicating no corrosive or scaling potential of recycled water. The microbiological study of the cloth samples washed in recycled water indicated that there was no contamination with representative bacteria. As the recycled water has similar effects like tap water on cloth and washing machine, it is safe to use for laundry. © 2013 Elsevier B.V.
Makki Alamdari, M, Li, J & Samali, B 2014, 'FRF-based damage localization method with noise suppression approach', Journal of Sound and Vibration, vol. 333, no. 14, pp. 3305-3320.
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Manap, MA, Nampak, H, Pradhan, B, Lee, S, Sulaiman, WNA & Ramli, MF 2014, 'Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS', Arabian Journal of Geosciences, vol. 7, no. 2, pp. 711-724.
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Mansoury, B & Tabatabaiefar, HR 2014, 'Application Of Sustainable Design Principles To Increase Energy Efficiency Of Existing Buildings', Building Research Journal, vol. 61, no. 3, pp. 167-177.
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AbstractThis study investigates the effectiveness of different energy retrofitting techniques and examines the impact of employing those methods on energy consumption of existing residential buildings. Based on the research findings, the most effective and practical method of retrofitting has been proposed in order to improve energy efficiency of existing buildings. In order to achieve this goal, an existing residential building has been simulated in FirstRate 5 software so as to determine the existing thermal performance of the building. Afterwards, considering sustainable design principles, different insulation layers, glazing, and construction materials have been employed to conduct a comprehensive thermal performance study. Based on the research outcomes, the best technique for increasing energy efficiency of existing buildings and reducing their environmental impact and footprint has been identified and proposed for practical purposes.
Marchand, J & Sood, S 2014, 'The alchemy of student entrepreneurs: towards a model of entrepreneurial maturity', International Journal of Entrepreneurship and Innovation Management, vol. 18, no. 1, pp. 75-75.
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Marin, L, Valls, A, Isern, D, Moreno, A & Merigó, JM 2014, 'Induced Unbalanced Linguistic Ordered Weighted Average and Its Application in Multiperson Decision Making', The Scientific World Journal, vol. 2014, pp. 1-19.
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Linguistic variables are very useful to evaluate alternatives in decision making problems because they provide a vocabulary in natural language rather than numbers. Some aggregation operators for linguistic variables force the use of a symmetric and uniformly distributed set of terms. The need to relax these conditions has recently been posited. This paper presents the induced unbalanced linguistic ordered weighted average (IULOWA) operator. This operator can deal with a set of unbalanced linguistic terms that are represented using fuzzy sets. We propose a new order-inducing criterion based on the specificity and fuzziness of the linguistic terms. Different relevancies are given to the fuzzy values according to their uncertainty degree. To illustrate the behaviour of the precision-based IULOWA operator, we present an environmental assessment case study in which a multiperson multicriteria decision making model is applied.
Marshall, GM, Carter, DR, Cheung, BB, Liu, T, Mateos, MK, Meyerowitz, JG & Weiss, WA 2014, 'The prenatal origins of cancer', Nature Reviews Cancer, vol. 14, no. 4, pp. 277-289.
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Maschek, T, Heuser, C, Hasselmann, V-R, Deuse, J & Willats, P 2014, 'Variabilitätsbasierte Klassifizierung von Produktionssystemen', Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 109, no. 9, pp. 591-594.
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Kurzfassung Ansatzpunkt jeder Verbesserung von Produktionssystemen ist Variabilität. Daher liegt eine Klassifizierung von Produktionssystemen bzgl. ihrer Variabilitätseigenschaften nahe. Die Übertragbarkeit diesbezüglicher Erkenntnisse aus der Erforschung des Toyota Produktionssystems auf Produktionsszenarien ohne Seriencharakter ist jedoch nicht immer gegeben. Dieser Beitrag stellt einen Ansatz zur variabilitätsbasierten Typisierung von Produktionssystemen vor.
Masum, BM, Kalam, MA, Masjuki, HH, Palash, SM & Fattah, IMR 2014, 'Performance and emission analysis of a multi cylinder gasoline engine operating at different alcohol–gasoline blends', RSC Adv., vol. 4, no. 53, pp. 27898-27904.
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Alcohols are potential renewable alternatives for gasoline because of their bio-based origin.
Masum, BM, Masjuki, HH, Kalam, MA, Palash, SM, Wakil, MA & Imtenan, S 2014, 'Tailoring the key fuel properties using different alcohols (C 2 –C 6 ) and their evaluation in gasoline engine', Energy Conversion and Management, vol. 88, pp. 382-390.
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Mathaba, T, Xia, X & Zhang, J 2014, 'Analysing the economic benefit of electricity price forecast in industrial load scheduling', Electric Power Systems Research, vol. 116, pp. 158-165.
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Mazzolini, AP & Daniel, S 2014, 'The Use of Active Learning Methods in Introductory Electronics Deliver Positive Learning Outcomes, Yet Some Academics Still Resist Change', Proceedings of the 12th Asia Pacific Physics Conference (APPC12), pp. 017006-017006.
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McDonald, C, McDougall, C, Rafailov, E & McGloin, D 2014, 'Characterizing conical refraction optical tweezers', Optics Letters, vol. 39, no. 23, pp. 6691-6691.
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McGloin, D 2014, 'Optical trapping for space mirrors', Nature, vol. 506, no. 7489, pp. 437-438.
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McGregor, C 2014, 'Riding the medical technology wave to empower your career in medicine', University of Toronto Medical Journal, vol. 92, no. 1, pp. 5-6.
McKenzie, TG, Wong, EHH, Fu, Q, Lam, SJ, Dunstan, DE & Qiao, GG 2014, 'Highly Efficient and Versatile Formation of Biocompatible Star Polymers in Pure Water and Their Stimuli-Responsive Self-Assembly', Macromolecules, vol. 47, no. 22, pp. 7869-7877.
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Mehrali, M, Tahan Latibari, S, Mehrali, M, Mahlia, TMI & Cornelis Metselaar, HS 2014, 'Effect of carbon nanospheres on shape stabilization and thermal behavior of phase change materials for thermal energy storage', Energy Conversion and Management, vol. 88, pp. 206-213.
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Mehrali, M, Tahan Latibari, S, Mehrali, M, Mahlia, TMI, Sadeghinezhad, E & Metselaar, HSC 2014, 'Preparation of nitrogen-doped graphene/palmitic acid shape stabilized composite phase change material with remarkable thermal properties for thermal energy storage', Applied Energy, vol. 135, pp. 339-349.
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Merigó, JM 2014, 'DECISION-MAKING UNDER RISK AND UNCERTAINTY AND ITS APPLICATION IN STRATEGIC MANAGEMENT', Journal of Business Economics and Management, vol. 16, no. 1, pp. 93-116.
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We introduce a new decision-making model that unifies risk and uncertain environments in the same formulation. For doing so, we present the induced probabilistic ordered weighted averaging (IPOWA) operator. It is an aggregation operator that unifies the probability with the OWA operator in the same formulation and considering the degree of importance of each concept in the aggregation. Moreover, it also uses induced aggregation operators that provide a more general representation of the attitudinal character of the decision-maker. We study its applicability and we see that it is very broad because all the previous studies that use the probability or the OWA operator can be revised and extended with this new approach. We briefly analyze some basic applications in statistics such as the implementation of this approach with the variance, the covariance, the Pearson coefficient and in a simple linear regression model. We focus on a multi-person decision-making problem in strategic management. Thus, we are able to construct a new aggregation operator that we call the multi-person IPOWA operator. Its main advantage is that it can deal with the opinion of several persons in the analysis so we can represent the information in a more complete way.
Merigo, JM & Gil-Lafuente, AM 2014, 'Computational Intelligence in Business Administration', COMPUTER SCIENCE AND INFORMATION SYSTEMS, vol. 11, no. 2.
Merigó, JM & Peris-Ortiz, M 2014, 'Entrepreneurship and Decision- Making in Latin America', Innovar, vol. 24, no. 1Spe, pp. 101-111.
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The principal purpose of this paper is to analyze different methods for decision making, with a focus on entrepreneurship in Latin America. Decision-making methods may be informed by aggregation operators that are based on the use of probabilities, weighted averages (WAs) and generalized aggregation operators. The paper presents a new generalized probabilistic weighted averaging (GPWA) operator that unifies WAs and probability in the same formulation, considering the degree of importance of each concept used in the analysis. The fundamental advantage of this approach is that it includes a wide range of particular cases including the probabilistic weighted averaging (PWA) operator, the probabilistic weighted geometric averaging (PWGA) operator and the probabilistic weighted quadratic averaging (PWQA) operator. Quasi-arithmetic means are used to obtain the Quasi-PWA operator and to generalize the approach, which is then applied to a set of hypothetical entrepreneurial investment decisions in a politically unified Latin American region.
Merigó, JM, Casanovas, M & Liu, P 2014, 'Decision making with fuzzy induced heavy ordered weighted averaging operators', International Journal of Fuzzy Systems, vol. 16, no. 3, pp. 277-289.
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This paper presents the fuzzy induced heavy ordered weighted averaging (FIHOWA) operator. It is an aggregation operator that uses the main characteristics of three well known aggregation operators: the heavy OWA, the induced OWA and the fuzzy OWA operator. Therefore, this operator provides a parameterized family of aggregation operators that includes the OWA operator and the total operator as special cases. It uses order inducing variables in the reordering of its arguments and it deals with uncertain information represented in the form of fuzzy numbers. Some of the main properties of this operator are studied including a wide range of families of FIHOWA operators such as the fuzzy heavy weighted average and the fuzzy heavy average. An illustrative example in investment selection is also presented.
Merigó, JM, Casanovas, M & Palacios-Marqués, D 2014, 'Linguistic group decision making with induced aggregation operators and probabilistic information', Applied Soft Computing, vol. 24, pp. 669-678.
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Merigó, JM, Casanovas, M & Yang, J-B 2014, 'Group decision making with expertons and uncertain generalized probabilistic weighted aggregation operators', European Journal of Operational Research, vol. 235, no. 1, pp. 215-224.
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Merigó, JM, Casanovas, M & Zeng, S 2014, 'Distance measures with heavy aggregation operators', Applied Mathematical Modelling, vol. 38, no. 13, pp. 3142-3153.
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Merigo, JM, Engemann, KJ & Palacios-Marques, D 2014, 'DECISION MAKING WITH DEMPSTER-SHAFER BELIEF STRUCTURE AND THE OWAWA OPERATOR', Technological and Economic Development of Economy, vol. 19, no. Supplement_1, pp. S100-S118.
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A new decision making model that uses the weighted average and the ordered weighted averaging (OWA) operator in the Dempster-Shafer belief structure is presented. Thus, we are able to represent the decision making problem considering objective and subjective information and the attitudinal character of the decision maker. For doing so, we use the ordered weighted averaging – weighted average (OWAWA) operator. It is an aggregation operator that unifies the weighted average and the OWA in the same formulation. This approach is generalized by using quasi-arithmetic means and group decision making techniques. An application of the new approach in a group decision making problem concerning political management of a country is also developed.
Mesgari, S, Sundramoorthy, AK, Loo, LS & Chan-Park, MB 2014, 'Gel electrophoresis using a selective radical for the separation of single-walled carbon nanotubes', Faraday Discuss., vol. 173, pp. 351-363.
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We have applied agarose gel electrophoresis (AGE) to single-walled carbon nanotubes (SWNTs) that have been pre-reacted with metallic-selective ionic radicals and then re-suspended with sodium cholate (SC) surfactant to obtain highly purified (up to 98%) semiconducting single-walled carbon nanotubes (s-SWNTs). The proposed combination method exploits the preferential reactivity with the metallic nanotube of the radicals generated from an azo naphthalene compound (Direct Blue 71 (I)) to preferentially increase the surface charge, and therefore the electrophoretic mobilities, of the metallic nanotube population under the influence of the electric field in AGE. The excellent separation achieved was verified by UV-vis-NIR and Raman spectroscopy as well as by the performance of field effect transistors fabricated with semiconducting-enriched SWNTs. FETs fabricated with I-assisted AGE-separated semiconducting nanotubes exhibited mobilities of ∼3.6 to 11.7 cm V s and on/off ratios from 10 to 10 . 2 -1 -1 2 6
Min, W, Xu, C, Xu, M, Xiao, X & Bao, B-K 2014, 'Mobile Landmark Search with 3D Models', IEEE Transactions on Multimedia, vol. 16, no. 3, pp. 623-636.
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Landmark search is crucial to improve the quality of travel experience. Smart phones make it possible to search landmarks anytime and anywhere. Most of the existing work computes image features on smart phones locally after taking a landmark image. Compared with sending original image to the remote server, sending computed features saves network bandwidth and consequently makes sending process fast. However, this scheme would be restricted by the limitations of phone battery power and computational ability. In this paper, we propose to send compressed (low resolution) images to remote server instead of computing image features locally for landmark recognition and search. To this end, a robust 3D model based method is proposed to recognize query images with corresponding landmarks. Using the proposed method, images with low resolution can be recognized accurately, even though images only contain a small part of the landmark or are taken under various conditions of lighting, zoom, occlusions and different viewpoints. In order to provide an attractive landmark search result, a 3D texture model is generated to respond to a landmark query. The proposed search approach, which opens up a new direction, starts from a 2D compressed image query input and ends with a 3D model search result.
Mishra, N, Hold, L, Iacopi, A, Gupta, B, Motta, N & Iacopi, F 2014, 'Controlling the surface roughness of epitaxial SiC on silicon', Journal of Applied Physics, vol. 115, no. 20, pp. 203501-203501.
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The surface of cubic silicon carbide (3C-SiC) hetero-epitaxial films grown on the (111) surface of silicon is a promising template for the subsequent epitaxial growth of III-V semiconductor layers and graphene. We investigate growth and post-growth approaches for controlling the surface roughness of epitaxial SiC to produce an optimal template. We first explore 3C-SiC growth on various degrees of offcut Si(111) substrates, although we observe that the SiC roughness tends to worsen as the degree of offcut increases. Hence we focus on post-growth approaches available on full wafers, comparing chemical mechanical polishing (CMP) and a novel plasma smoothening process. The CMP leads to a dramatic improvement, bringing the SiC surface roughness down to sub-nanometer level, though removing about 200 nm of the SiC layer. On the other hand, our proposed HCl plasma process appears very effective in smoothening selectively the sharpest surface topography, leading up to 30% improvement in SiC roughness with only about 50 nm thickness loss. We propose a simple physical model explaining the action of the plasma smoothening.
MIYAZAKI, N, YOSHIZAWA, S & MIYANAGA, Y 2014, 'Low-Power Dynamic MIMO Detection for a 4×4 MIMO-OFDM Receiver', IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E97.A, no. 1, pp. 306-312.
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Mobarak, HM, Masjuki, HH, Mohamad, EN, Kalam, MA, Rashedul, HK, Rashed, MM & Habibullah, M 2014, 'Tribological properties of amorphous hydrogenated (a-C:H) and hydrogen-free tetrahedral (ta-C) diamond-like carbon coatings under jatropha biodegradable lubricating oil at different temperatures', Applied Surface Science, vol. 317, pp. 581-592.
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Mobarak, HM, Niza Mohamad, E, Masjuki, HH, Kalam, MA, Al Mahmud, KAH, Habibullah, M & Ashraful, AM 2014, 'The prospects of biolubricants as alternatives in automotive applications', Renewable and Sustainable Energy Reviews, vol. 33, pp. 34-43.
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Mofijur, M, Masjuki, HH, Kalam, MA, Atabani, AE, Arbab, MI, Cheng, SF & Gouk, SW 2014, 'Properties and use of Moringa oleifera biodiesel and diesel fuel blends in a multi-cylinder diesel engine', Energy Conversion and Management, vol. 82, pp. 169-176.
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Mofijur, M, Masjuki, HH, Kalam, MA, Atabani, AE, Fattah, IMR & Mobarak, HM 2014, 'Comparative evaluation of performance and emission characteristics of Moringa oleifera and Palm oil based biodiesel in a diesel engine', Industrial Crops and Products, vol. 53, pp. 78-84.
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Moghaddam, Z & Piccardi, M 2014, 'Training Initialization of Hidden Markov Models in Human Action Recognition', IEEE Transactions on Automation Science and Engineering, vol. 11, no. 2, pp. 394-408.
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Human action recognition in video is often approached by means of sequential probabilistic models as they offer a natural match to the temporal dimension of the actions. However, effective estimation of the models' parameters is critical if one wants to achieve significant recognition accuracy. Parameter estimation is typically performed over a set of training data by maximizing objective functions such as the data likelihood or the conditional likelihood. However, such functions are nonconvex in nature and subject to local maxima. This problem is major since any solution algorithm (expectation- maximization, gradient ascent, variational methods and others) requires an arbitrary initialization and can only find a corresponding local maximum. Exhaustive search is otherwise impossible since the number of local maxima is unknown. While no theoretical solutions are available for this problem, the only practicable mollification is to repeat training with different initializations until satisfactory cross-validation accuracy is attained. Such a process is overall empirical and highly time-consuming. In this paper, we propose two methods for one-off initialization of hidden Markov models achieving interesting tradeoffs between accuracy and training time. Experiments over three challenging human action video datasets (Weizmann, MuHAVi and Hollywood Human Actions) and with various feature sets measured from the frames (STIP descriptors, projection histograms, notable contour points) prove that the proposed one-off initializations are capable of achieving accuracy above the average of repeated random initializations and comparable to the best. In addition, the methods proposed are not restricted solely to human action recognition as they suit time series classification as a general problem. © 2004-2012 IEEE.
Mohammadi Bayazidi, A, Wang, G-G, Bolandi, H, Alavi, AH & Gandomi, AH 2014, 'Multigene Genetic Programming for Estimation of Elastic Modulus of Concrete', Mathematical Problems in Engineering, vol. 2014, pp. 1-10.
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This paper presents a new multigene genetic programming (MGGP) approach for estimation of elastic modulus of concrete. The MGGP technique models the elastic modulus behavior by integrating the capabilities of standard genetic programming and classical regression. The main aim is to derive precise relationships between the tangent elastic moduli of normal and high strength concrete and the corresponding compressive strength values. Another important contribution of this study is to develop a generalized prediction model for the elastic moduli of both normal and high strength concrete. Numerous concrete compressive strength test results are obtained from the literature to develop the models. A comprehensive comparative study is conducted to verify the performance of the models. The proposed models perform superior to the existing traditional models, as well as those derived using other powerful soft computing tools.
Mohammadi, MS, Dutkiewicz, E, Zhang, Q & Huang, X 2014, 'Optimal Energy Efficiency Link Adaptation in IEEE 802.15.6 IR-UWB Body Area Networks', IEEE Communications Letters, vol. 18, no. 12, pp. 2193-2196.
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© 2014 IEEE. We propose a novel link adaptation mechanism to maximize energy efficiency in IEEE 802.15.6 impulse radio ultra wideband (IR-UWB) wireless body area networks (WBANs). We consider noncoherent energy detection and autocorrelation receivers, suitable for low complexity implementations. The amount of captured energy is first modeled for the on-body WBAN channel. Using our energy capture model and Gaussian approximations for the decision statistic, the error performance of various physical layer modes of the IEEE 802.15.6 standard is derived assuming intra-symbol interference. We refer to the IEEE 802.15.6 specification as a use case. The proposed adaptation scheme can be applied to any other IR-UWB system with noncoherent receivers and is based on the estimated signal to noise ratio and the channel's energy capture index for which we propose unbiased estimators.
Mohammadi, MS, Zhang, Q, Dutkiewicz, E & Huang, X 2014, 'Optimal Frame Length to Maximize Energy Efficiency in IEEE 802.15.6 UWB Body Area Networks', IEEE Wireless Communications Letters, vol. 3, no. 4, pp. 397-400.
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Energy efficiency is a major requirement in wireless body area networks (WBANs). In this letter, we optimize the length of the medium access control (MAC) frame body to maximize the energy efficiency in IEEE 802.15.6 ultra-wideband (UWB) WBANs. To achieve this, we derive the probability of packet detection as well as the probability of successful reception of the physical layer header and data payload for the two UWB physical layer modes i.e., the default mode and the high QoS mode. The analysis includes the impact of forward error correction and type II hybrid ARQ on the packet success rate. We further extend the existing model of energy efficiency by incorporating separate energy consumption costs for uplink and downlink channels as well as data transmission and reception. The correctness of the theoretical model is assessed and verified by means of system level simulations, and a closed form expression for optimal frame length is given for the default mode. © 2012 IEEE.
Mohammed, OI, Saeidi, V, Pradhan, B & Yusuf, YA 2014, 'Advanced differential interferometry synthetic aperture radar techniques for deformation monitoring: a review on sensors and recent research development', Geocarto International, vol. 29, no. 5, pp. 536-553.
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Mohottige, NW, Wu, C & Hao, H 2014, 'Characteristics of Free Air Blast Loading Due to Simultaneously Detonated Multiple Charges', International Journal of Structural Stability and Dynamics, vol. 14, no. 04, pp. 1450002-1450002.
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Extensive research has been conducted to investigate the characteristics of blast load due to single charge explosion, including numerical simulations and experimental blast tests in both unconfined and confined environments. Further, available guidelines for blast resistant design such as UFC-3-340-02 (2008) and ASCE 59-11 (2011) provide details to predict blast loads on a structure subjected to single charge explosion. However, blast load characteristics due to multiple charge explosions are poorly discussed in available literature. In this paper, commercially available Hydrocode, AUTODYN is calibrated for single charge explosions. Based on a comparison between numerical simulation and UFC prediction, correction factors for peak reflected pressure and positive reflected impulse as a function of charge weight, scaled distance and mesh size of the numerical model are proposed to minimize the errors in simulations. The calibrated AUTODYN model is then used to conduct parametric studies to investigate the effects of charge weight, scaled distance, number of charges and distance between the charges on the characteristics of free air blast load due to simultaneous detonated multiple charges. Numerical simulation results are used to derive analytical formulas for predictions of peak reflected pressure ratio and positive reflected impulse ratio between single and multiple explosions. The discussion is made on characteristics of free air blast load due to simultaneous detonated multiple charges.
Monticolo, D 2014, 'A Multi Agent System to Manage Ideas during Collaborative Creativity Workshops', International Journal of Future Computer and Communication, vol. 3, pp. 66-70.
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Monticolo, D, Mihaita, S, Darwich, H & Hilaire, V 2014, 'An agent-based system to build project memories during engineering projects', Knowledge-Based Systems, vol. 68, pp. 88-102.
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Engineering projects are organizations where several actors with different professional fields and know-how work together to carry out the same aim: to develop a new product. Inside these organizations, heterogeneous and distributed information has to be managed in order to create project memories that will be useful in future projects. In this paper we describe a Multi-Agent System (MAS), which is based on the social and cooperative approach to support the knowledge management process all along mechanical design projects. Indeed, this multi-agent system, called KATRAS, aims to capitalize and reuse knowledge according to the roles involved in the design projects. We will present in this paper how the agents capitalize six different types of knowledge (professional vocabulary, process, expertise, project evolution, and return of experience) and how they help the professional actors to reuse knowledge. © 2014 Elsevier B.V. All rights reserved.
Moradi, A, Zhand, S, Ghaemi, A, Javid, N, Bazouri, M & Tabarraei, A 2014, 'Mutations in pre-core and basal-core promoter regions of hepatitis B virus in chronic HBV patients from Golestan, Iran.', Iran J Basic Med Sci, vol. 17, no. 5, pp. 370-377.
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OBJECTIVES: It has been reported that the mutation of the pre-core (PC) and basal-core promoter (BCP) may play an important role in the development of HBV-related hepatocellular carcinoma (HCC). In this study the PC and BCP mutations were investigated in chronic HBV patients. MATERIALS AND METHODS: In this study, 120 chronic HBV patients from Golestan, Northeast of Iran who were not vaccinated against HBV, were recruited from the year 2008 to 2012. HBV-DNA extraction from plasma and PCR were performed and positive PCR products were subjected to automated sequencing. RESULTS: One hundred out of 120 (83.3%) patients were HBeAg negative. Comparison of our nucleotide sequences with reference sequence showed high rate mutation in BCP and PC region (96.66%). Frame shift mutation was found in 78 (65%) of patients in BCP region, among them 8 (6.6%) patients showed mutation in PC region. CONCLUSION: Our results demonstrated high rate of mutations in BCP and PC regions among HBV chronic patients in Northeast of Iran.
Movassaghi, S, Abolhasan, M, Lipman, J, Smith, D & Jamalipour, A 2014, 'Wireless Body Area Networks: A Survey', IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, vol. 16, no. 3, pp. 1658-1686.
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Recent developments and technological advancements in wireless communication, MicroElectroMechanical Systems (MEMS) technology and integrated circuits has enabled low-power, intelligent, miniaturized, invasive/non-invasive micro and nano-technology sensor nodes strategically placed in or around the human body to be used in various applications, such as personal health monitoring. This exciting new area of research is called Wireless Body Area Networks (WBANs) and leverages the emerging IEEE 802.15.6 and IEEE 802.15.4j standards, specifically standardized for medical WBANs. The aim of WBANs is to simplify and improve speed, accuracy, and reliability of communication of sensors/actuators within, on, and in the immediate proximity of a human body. The vast scope of challenges associated with WBANs has led to numerous publications. In this paper, we survey the current state-of-art of WBANs based on the latest standards and publications. Open issues and challenges within each area are also explored as a source of inspiration towards future developments in WBANs. © 2014 IEEE.
Mu, Y, Yang, Y, Cao, L, Yan, S & Tian, Q 2014, 'Guest Editorial: Special issue on large scale multimedia semantic indexing', Computer Vision and Image Understanding, vol. 124, pp. 1-2.
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Mueller, J & Stewart, MG 2014, 'Evaluating Counterterrorism Spending', Journal of Economic Perspectives, vol. 28, no. 3, pp. 237-248.
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In this article, we present a simple back-of-the-envelope approach for evaluating whether counterterrorism security measures reduce risk sufficiently to justify their costs. The approach uses only four variables: the consequences of a successful attack, the likelihood of a successful attack, the degree to which the security measure reduces risk, and the cost of the security measure. After measuring the cost of a counterterrorism measure, we explore a range of outcomes for the costs of terrorist attacks and a range of possible estimates for how much risk might be reduced by the measure. Then working from this mix of information and assumptions, we can calculate how many terrorist attacks (and of what size) would need to be averted to justify the cost of the counterterrorism measure in narrow cost–benefit terms. To illustrate this approach, we first apply it to the overall increases in domestic counterterrorism expenditures that have taken place since the terrorist attacks of September 11, 2001, and alternatively we apply it to just the FBI's counterterrorism efforts. We then evaluate evidence on the number and size of terrorist attacks that have actually been averted or might have been averted since 9/11.
Mueller, J & Stewart, MG 2014, 'Terrorism and counterterrorism in the US: the question of responsible policy-making', The International Journal of Human Rights, vol. 18, no. 2, pp. 228-240.
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Officials serving the public are tasked at the most fundamental level to spend funds in a manner that most effectively and efficiently keeps people safe. To do otherwise is irresponsible and, because human lives are at stake, immoral. In the case of counterterrorism policy-making, it is important to evaluate the degree to which any gains in security afforded by counterterrorism measures have been great enough to justify their cost. Risk analysis is an aid to responsible decision-making that does exactly that. We deal with four issues central to this approach, applying them to the hazard presented by terrorism: the cost per saved life, acceptable risk, cost-benefit analysis, and risk communication. We also assess the degree to which risk analysis has been coherently applied to counterterrorism efforts in the US in making or evaluating decisions that have cost taxpayers many hundreds of billions of dollars over the past dozen years. © 2014 Taylor & Francis.
Muhammad, KS & Lu, DD-C 2014, 'Magnetically Isolated Gate Driver With Leakage Inductance Immunity', IEEE Transactions on Power Electronics, vol. 29, no. 4, pp. 1567-1572.
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Musial, K, Bródka, P, Kazienko, P & Gaworecki, J 2014, 'Extraction of Multi-layered Social Networks from Activity Data', The Scientific World Journal, vol. 2014, p. 3.
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The data gathered in all kind of web-based systems, which enable users tointeract with each other, provides an opportunity to extract social networksthat consist of people and relationships between them. The emerging structuresare very complex due to the number and type of discovered connections. Inwebbased systems, the characteristic element of each interaction between usersis that there is always an object that serves as a communication medium. Thiscan be e.g. an email sent from one user to another or post at the forumauthored by one user and commented by others. Based on these objects andactivities that users perform towards them, different kinds of relationshipscan be identified and extracted. Additional challenge arises from the fact thathierarchies can exist between objects, e.g. a forum consists of one or moregroups of topics, and each of them contains topics that finally include posts.In this paper, we propose a new method for creation of multi-layered socialnetwork based on the data about users activities towards different types ofobjects between which the hierarchy exists. Due to the flattening,preprocessing procedure new layers and new relationships in the multi-layeredsocial network can be identified and analysed.
Mustapha, S, Lu, Y, Li, J & Ye, L 2014, 'Damage detection in rebar-reinforced concrete beams based on time reversal of guided waves', Structural Health Monitoring, vol. 13, no. 4, pp. 347-358.
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The propagation properties of ultrasonic waves in rebar-reinforced concrete beams were investigated and their ability for damage identification was demonstrated. Rectangular piezoelectric ceramics were attached at the exposed ends of the rebar to monitor the wave transmission along the rebar with and without simulated corrosion, which was introduced in the form of partial removal of material from the rebar. Experimental testing demonstrated that the presence of concrete had a significant influence on the propagation characteristics of guided waves along the rebar. In consideration of the inevitable discrepancies in different concrete beams due to individual specimen preparation and sensor installation, the time-reversal process was applied to identify the damage. A damage index was defined based on the correlation coefficient between the actuated and the reconstructed wave signals. Wavelet transform was applied to overcome the wave conversion difficulty and to reduce the noise in the captured wave signals. Damage of different sizes was introduced and then was correlated with the damage index. Enlarging the damage size resulted in an increase in the level of distortion in the reconstructed wave signals, and consequently, a higher damage index was obtained. The results demonstrate the efficiency of the time-reversal process in identifying damage in rebar-reinforced concrete structures.
Myles, A, Pietroni, N & Zorin, D 2014, 'Robust field-aligned global parametrization.', ACM Trans. Graph., vol. 33, pp. 135:1-135:1.
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Naderpour, M & Lu, J 2014, 'A Situation Analysis Decision Support System Based on Dynamic Object Oriented Bayesian Networks', Journal of Software, vol. 9, no. 8, pp. 2194-2199.
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This paper proposes a situation analysis decision support system (SADSS) for safety of safety-critical systems where the operators are stressed by the task of understanding what is going on in the situation. The proposed SADSS is developed based on a new model-driven engineering approach for hazardous situations modeling based on dynamic object oriented Bayesian networks to reduce the complexity of the decision-making process by aiding operators’ cognitive activities. The SADSS includes four major elements: a situation data collection based on observable variables such as sensors, a situation knowledgebase which consists of dynamic object oriented Bayesian networks to model hazardous situations, a situation analysis which shows the current state of hazardous situations based on risk concept and possible near future state, and a humancomputer interface. Finally two evaluation methods for partial and full validation of SADSS are presented.
Naderpour, M, Lu, J & Zhang, G 2014, 'A situation risk awareness approach for process systems safety', SAFETY SCIENCE, vol. 64, pp. 173-189.
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Promoting situation awareness is an important design objective for a wide variety of domains, especially for process systems where the information flow is quite high and poor decisions may lead to serious consequences. In today's process systems, operators are often moved to a control room far away from the physical environment, and increasing amounts of information are passed to them via automated systems, they therefore need a greater level of support to control and maintain the facilities in safe conditions. This paper proposes a situation risk awareness approach for process systems safety where the effect of ever-increasing situational complexity on human decision-makers is a concern. To develop the approach, two important aspects - addressing hazards that arise from hardware failure and reducing human error through decision-making - have been considered. The proposed situation risk awareness approach includes two major elements: an evidence preparation component and a situation assessment component. The evidence preparation component provides the soft evidence, using a fuzzy partitioning method, that is used in the subsequent situation assessment component. The situation assessment component includes a situational network based on dynamic Bayesian networks to model the abnormal situations, and a fuzzy risk estimation method to generate the assessment result. A case from US Chemical Safety Board investigation reports has been used to illustrate the application of the proposed approach. © 2013 Elsevier Ltd.
Naderpour, M, Lu, J & Zhang, G 2014, 'An intelligent situation awareness support system for safety-critical environments', DECISION SUPPORT SYSTEMS, vol. 59, no. 1, pp. 325-340.
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Operators handling abnormal situations in safety-critical environments need to be supported from a cognitive perspective to reduce their workload, stress, and consequent error rate. Of the various cognitive activities, a correct understanding of the situation, i.e. situation awareness (SA), is a crucial factor in improving performance and reducing error. However, existing system safety researches focus mainly on technical issues and often neglect SA. This study presents an innovative cognition-driven decision support system called the situation awareness support system (SASS) to manage abnormal situations in safety-critical environments in which the effect of situational complexity on human decision-makers is a concern. To achieve this objective, a situational network modeling process and a situation assessment model that exploits the specific capabilities of dynamic Bayesian networks and risk indicators are first proposed. The SASS is then developed and consists of four major elements: 1) a situation data collection component that provides the current state of the observable variables based on online conditions and monitoring systems, 2) a situation assessment component based on dynamic Bayesian networks (DBN) to model the hazardous situations in a situational network and a fuzzy risk estimation method to generate the assessment result, 3) a situation recovery component that provides a basis for decision-making to reduce the risk level of situations to an acceptable level, and 4) a human-computer interface. The SASS is partially evaluated by a sensitivity analysis, which is carried out to validate DBN-based situational networks, and SA measurements are suggested for a full evaluation of the proposed system. The performance of the SASS is demonstrated by a case taken from US Chemical Safety Board reports, and the results demonstrate that the SASS provides a useful graphical, mathematically consistent system for dealing with incomplete and uncertain info...
Naderpour, M, Lu, J & Zhang, G 2014, 'The explosion at institute: Modeling and analyzing the situation awareness factor', ACCIDENT ANALYSIS AND PREVENTION, vol. 73, pp. 209-224.
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In 2008 a runaway chemical reaction caused an explosion at a methomyl unit in West Virginia, USA, killing two employees, injuring eight people, evacuating more than 40,000 residents adjacent to the facility, disrupting traffic on a nearby highway and causing significant business loss and interruption. Although the accident was formally investigated, the role of the situation awareness (SA) factor, i.e., a correct understanding of the situation, and appropriate models to maintain SA, remain unexplained. This paper extracts details of abnormal situations within the methomyl unit and models them into a situational network using dynamic Bayesian networks. A fuzzy logic system is used to resemble the operator's thinking when confronted with these abnormal situations. The combined situational network and fuzzy logic system make it possible for the operator to assess such situations dynamically to achieve accurate SA. The findings show that the proposed structure provides a useful graphical model that facilitates the inclusion of prior background knowledge and the updating of this knowledge when new information is available from monitoring systems.
Naidu, G, Choi, Y, Jeong, S, Hwang, TM & Vigneswaran, S 2014, 'Experiments and modeling of a vacuum membrane distillation for high saline water', JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY, vol. 20, no. 4, pp. 2174-2183.
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Naidu, G, Jeong, S & Vigneswaran, S 2014, 'Influence of feed/permeate velocity on scaling development in a direct contact membrane distillation', Separation and Purification Technology, vol. 125, pp. 291-300.
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In this study the performance and scaling pattern of a direct contact membrane distillation (DCMD) was investigated at different feed and permeate flow velocities (vf and vp). The results indicated that both vf and vp influenced DCMD performance and scaling development. A combination setting of vf = 0.8 m s−1 and vp = 1.1 m s−1 resulted in a similar permeate flux as vf and vp = 1.1 m s−1 with a 30% higher recovery ratio and 60% lower pumping energy membrane analysis demonstrated bulk crystallisation tendency at high flow velocity ranges (1.1–2.2 m s−1), while membrane surface crystallisation was dominant at lower flow velocities (0.5–0.8 m s−1). A combination setting (vf = 0.8 m s−1 and vp = 1.1 m s−1) showed beneficial outcome of reduced surface crystallisation tendency.
Naidu, G, Jeong, S, Choi, Y, Jang, E, Hwang, T-M & Vigneswaran, S 2014, 'Application of vacuum membrane distillation for small scale drinking water production', Desalination, vol. 354, pp. 53-61.
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Naidu, G, Jeong, S, Kim, S-J, Kim, IS & Vigneswaran, S 2014, 'Organic fouling behavior in direct contact membrane distillation', Desalination, vol. 347, pp. 230-239.
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Nam, E, Kim, J, Guntari, SN, Seyler, H, Fu, Q, Wong, EHH, Blencowe, A, Jones, DJ, Caruso, F & Qiao, GG 2014, 'Continuous assembly of polymers via solid phase reactions', Chem. Sci., vol. 5, no. 9, pp. 3374-3380.
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The formation of cross-linked polymer films, with tunable thickness, proceeds directionally from the substrate surface by controlled polymerization in the solid state.
Nampak, H, Pradhan, B & Manap, MA 2014, 'Application of GIS based data driven evidential belief function model to predict groundwater potential zonation', Journal of Hydrology, vol. 513, pp. 283-300.
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Nasir, MK, Md Noor, R, Kalam, MA & Masum, BM 2014, 'Reduction of Fuel Consumption and Exhaust Pollutant Using Intelligent Transport Systems', The Scientific World Journal, vol. 2014, pp. 1-13.
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Greenhouse gas emitted by the transport sector around the world is a serious issue of concern. To minimize such emission the automobile engineers have been working relentlessly. Researchers have been trying hard to switch fossil fuel to alternative fuels and attempting to various driving strategies to make traffic flow smooth and to reduce traffic congestion and emission of greenhouse gas. Automobile emits a massive amount of pollutants such as Carbon Monoxide (CO), hydrocarbons (HC), carbon dioxide (CO2), particulate matter (PM), and oxides of nitrogen (NOx). Intelligent transport system (ITS) technologies can be implemented to lower pollutant emissions and reduction of fuel consumption. This paper investigates the ITS techniques and technologies for the reduction of fuel consumption and minimization of the exhaust pollutant. It highlights the environmental impact of the ITS application to provide the state-of-art green solution. A case study also advocates that ITS technology reduces fuel consumption and exhaust pollutant in the urban environment.
Nateghi, F, Shon, HK & Khabbaz, H 2014, 'Development of a new poly silicate ferric coagulant and its application to coagulation- membrane filtration hybrid system in wastewater treatment', DESALINATION AND WATER TREATMENT, vol. 52, no. 4-6, pp. 663-669.
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Coagulation is one of the effective pretreatment stages in membrane filtration of wastewaters to produce clean water. Using a suitable coagulant, one can mitigate membrane fouling. Membrane fouling is a process where particles deposit onto a membrane surface or into membrane pores in a way that degrades the membrane's performance. Research in this area is currently being focused on development of improved coagulation reagents such as poly silicate ferric (PSiFe), which has a high molecular weight and large number of positive surface charges with high efficiency at low doses. In this paper, PSiFe was prepared by following two approaches: (a) acidification of water glass solution using HCl followed by FeCl3 addition (old-PSiFe); (b) acidification of water glass solution by passing it through an acidic ion exchange resin followed by fresh FeCl3 addition under different Fe/Si molar ratios (new-PSiFe). These coagulants were characterised by X-ray diffraction and scanning electron microscopy. According to coagulation jar test results when Fe/Si = 1, the best performance was achieved in terms of turbidity, total organic carbon (TOC) and UV254 removals. Another aspect is the comparison of the old-PSiFe, FeCl3 and new-PSiFe which showed that in a membrane filtration system, using the new-PSiFe not only reduces the required transmembrane pressure (TMP) due to lower fouling, but also improves the TOC removal efficiency. © 2013 © 2013 Balaban Desalination Publications. All rights reserved.
Nemoto, K, Trupke, M, Devitt, SJ, Stephens, AM, Scharfenberger, B, Buczak, K, Nöbauer, T, Everitt, MS, Schmiedmayer, J & Munro, WJ 2014, 'Photonic Architecture for Scalable Quantum Information Processing in Diamond', Physical Review X, vol. 4, no. 3.
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Neshat, A, Pradhan, B & Dadras, M 2014, 'Groundwater vulnerability assessment using an improved DRASTIC method in GIS', Resources, Conservation and Recycling, vol. 86, pp. 74-86.
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Neshat, A, Pradhan, B & Shafri, HZM 2014, 'An Integrated GIS Based Statistical Model to Compute Groundwater Vulnerability Index for Decision Maker in Agricultural Area', Journal of the Indian Society of Remote Sensing, vol. 42, no. 4, pp. 777-788.
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Neshat, A, Pradhan, B, Pirasteh, S & Shafri, HZM 2014, 'Estimating groundwater vulnerability to pollution using a modified DRASTIC model in the Kerman agricultural area, Iran', Environmental Earth Sciences, vol. 71, no. 7, pp. 3119-3131.
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Neshat, M, Sepidnam, G, Sargolzaei, M & Toosi, AN 2014, 'Artificial fish swarm algorithm: a survey of the state-of-the-art, hybridization, combinatorial and indicative applications', Artificial Intelligence Review, vol. 42, no. 4, pp. 965-997.
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Nghiem, LD, Nguyen, TT, Manassa, P, Fitzgerald, SK, Dawson, M & Vierboom, S 2014, 'Co-digestion of sewage sludge and crude glycerol for on-demand biogas production', International Biodeterioration & Biodegradation, vol. 95, pp. 160-166.
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Ngo, NT, Indraratna, B & Rujikiatkamjorn, C 2014, 'DEM simulation of the behaviour of geogrid stabilised ballast fouled with coal', Computers and Geotechnics, vol. 55, pp. 224-231.
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Geogrids are commonly used in railway construction for reinforcement and stabilisation. When railway ballast becomes fouled due to ballast breakage, infiltration of coal fines, dust and subgrade soil pumping, the reinforcement effect of geogrids decreases significantly. This paper presents results obtained from Discrete Element Method (DEM) to study the interface behaviour of coal-fouled ballast reinforced by geogrid subjected to direct shear testing. In this study, irregularly-shaped aggregates (ballast) were modelled by clumping together 10-20 spheres in appropriate sizes and positions. The geogrid was modelled by bonding a large number of small spheres together to form the desired grid geometry and apertures. Fouled ballast with 40% Void Contaminant Index (VCI) was modelled by injecting a predetermined number of miniature spheres into the voids of fresh ballast. A series of direct shear tests for fresh and fouled ballast reinforced by the geogrid subjected to normal shear stresses varying from 15. kPa to 75. kPa were then simulated in the DEM. The numerical results showed a good agreement the laboratory data, indicating that the DEM model is able to capture the behaviour of both fresh and coal-fouled ballast reinforced by the geogrid. The advantages of the proposed DEM model in terms of capturing the correct stress-displacement and volumetric behaviour of ballast, as well as the contact forces and strains developed in the geogrids are discussed. © 2013 Elsevier Ltd.
Nguyen, DD, Ngo, HH & Yoon, YS 2014, 'A new hybrid treatment system of bioreactors and electrocoagulation for superior removal of organic and nutrient pollutants from municipal wastewater', BIORESOURCE TECHNOLOGY, vol. 153, pp. 116-125.
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This paper evaluated a novel pilot scale hybrid treatment system which combines rotating hanging media bioreactor (RHMBR), submerged membrane bioreactor (SMBR) along with electrocoagulation (EC) as post treatment to treat organic and nutrient pollutants from municipal wastewater. The results indicated that the highest removal efficiency was achieved at the internal recycling ratio as 400% of the influent flow rate which produced a superior effluent quality with 0.26 mgBOD5 L-1, 11.46 mgCODCr L-1, 0.00 mgNH4-N L-1, and 3.81 mgT-N L-1, 0.03 mgT-P L-1. During 16 months of operation, NH4-N was completely eliminated and T-P removal efficiency was also up to 100%. It was found that increasing in internal recycling ratio could improve the nitrate and nitrogen removal efficiencies. Moreover, the TSS and coliform bacteria concentration after treatment was less than 5 mg L-1 and 30 PN mL-1, respectively, regardless of internal recycling ratios and its influent concentration.
Nguyen, DD, Ngo, HH, Kim, SD & Yoon, YS 2014, 'A specific pilot-scale membrane hybrid treatment system for municipal wastewater treatment', BIORESOURCE TECHNOLOGY, vol. 169, pp. 52-61.
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A specifically designed pilot-scale hybrid wastewater treatment system integrating an innovative equalizing reactor (EQ), rotating hanging media bioreactor (RHMBR) and submerged flat sheet membrane bioreactor (SMBR) was evaluated for its effectiveness in practical, long-term, real-world applications. The pilot system was operated at a constant flux, but with different internal recycle flow rates (Q) over a long-term operating of 475 days. At 4Q internal recycle flow rate, BOD5, CODCr, NH4+-N, T-N, T-P and TSS was highly removed with efficiencies up to 99.88 ± 0.05%, 95.01 ± 1.62%, 100%, 90.42 ± 2.43%, 73.44 ± 6.03%, and 99.93 ± 0.28%, respectively. Furthermore, the effluent quality was also superior in terms of turbidity (<1 NTU), color (<15 TCU) and taste (inoffensive). The results indicated that with providing only chemically cleaned-in-place (CIP) during the entire period of operation, the membrane could continuously maintain a constant permeate flux of 22.77 ± 2.19 L/m2 h. In addition, the power consumption was also found to be reasonably low (0.921.62 kWh/m3).
Nguyen, DN & Krunz, M 2014, 'A Cooperative MIMO Framework for Wireless Sensor Networks', ACM Transactions on Sensor Networks, vol. 10, no. 3, pp. 1-28.
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We explore the use of cooperative multi-input multi-output (MIMO) communications to prolong the lifetime of a wireless sensor network (WSN). Single-antenna sensor nodes are clustered into virtual antenna arrays that can act as virtual MIMO (VMIMO) nodes. We design a distributed cooperative clustering protocol (CCP), which exploits VMIMO's diversity gain by optimally selecting the cooperating nodes (CNs) within each cluster and balancing their energy consumption. The problem of optimal CN selection at the transmit and receive clusters is formulated as a nonlinear binary program. Aiming at minimizing the imbalance in the residual energy at various nodes, we decompose this problem into two subproblems: finding the optimal number of CNs (ONC) in a cluster and the CN assignment problem. For the ONC problem, we first analyze the energy efficiency of two widely used VMIMO methods: distributed Space Time Block Code (DSTBC) and distributed Vertical-Bell Laboratories-Layered-Space-Time (DVBLAST). Our analysis provides an upper bound on the optimal number of CN nodes, which greatly reduces the computational complexity of the ONC problem. The second subproblem is addressed by assigning CNs based on the residual battery energy. To make CCP scalable to large WSNs, we propose a multihop energy-balanced routing mechanism for clustered WSNs (C-EBR) with a novel cost metric. Finally, we derive sufficient conditions on the intra- and intercluster ranges, under which CCP guarantees connectivity of the intercluster topology. Extensive simulations show that the proposed approach dramatically improves the network lifetime.
Nguyen, LD, Fatahi, B & Khabbaz, H 2014, 'A constitutive model for cemented clays capturing cementation degradation', INTERNATIONAL JOURNAL OF PLASTICITY, vol. 56, pp. 1-18.
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Laboratory experiments show that the effect of cementation on clays gradually diminishes as the confining pressure increases (particularly at high confining pressures) due to the degradation of cementation bonds. The main aim of this paper is to propose a constitutive model for cemented clays, referred to as the Cemented Cam Clay model (CCC), to simulate the cementation degradation during loading. The failure envelope of the proposed model is formulated to describe the behaviour of the cemented clay at a low pressure range similar to over-consolidated soils, while it merges with the Critical State Line of reconstituted sample gradually as the confining pressure continues to increase. In order to examine the stress-strain behaviour of cemented clays, an energy dissipation equation is developed inspired by the Modified Cam Clay model. The characteristics of the proposed model, including a non-associated plastic potential function and elasto-plastic stress-strain relationship, are presented in light of the Critical State concept. Validity of the proposed constitutive model derived from the modified energy equation is evaluated against triaxial test results for cemented clays available in literature. © 2014 Published by Elsevier Ltd. All rights reserved.
Nguyen, LN, Hai, FI, Kang, J, Leusch, FDL, Roddick, F, Magram, SF, Price, WE & Nghiem, LD 2014, 'Enhancement of trace organic contaminant degradation by crude enzyme extract from Trametes versicolor culture: Effect of mediator type and concentration', Journal of the Taiwan Institute of Chemical Engineers, vol. 45, no. 4, pp. 1855-1862.
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Nguyen, LN, Hai, FI, Price, WE, Leusch, FDL, Roddick, F, Ngo, HH, Guo, W, Magram, SF & Nghiem, LD 2014, 'The effects of mediator and granular activated carbon addition on degradation of trace organic contaminants by an enzymatic membrane reactor', BIORESOURCE TECHNOLOGY, vol. 167, pp. 169-177.
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The removal of four recalcitrant trace organic contaminants (TrOCs), namely carbamazepine, diclofenac, sulfamethoxazole and atrazine by laccase in an enzymatic membrane reactor (EMR) was studied. Laccases are not effective for degrading non-phenolic compounds; nevertheless, 2255% removal of these four TrOCs was achieved by the laccase EMR. Addition of the redox-mediator syringaldehyde (SA) to the EMR resulted in a notable dose-dependent improvement (1545%) of TrOC removal affected by inherent TrOC properties and loading rates. However, SA addition resulted in a concomitant increase in the toxicity of the treated effluent. A further 1425% improvement in aqueous phase removal of the TrOCs was consistently observed following a one-off dosing of 3 g/L granular activated carbon (GAC). Mass balance analysis reveals that this improvement was not due solely to adsorption but also enhanced biodegradation. GAC addition also reduced membrane fouling and the SA-induced toxicity of the effluent.
Nguyen, LN, Hai, FI, Yang, S, Kang, J, Leusch, FDL, Roddick, F, Price, WE & Nghiem, LD 2014, 'Removal of pharmaceuticals, steroid hormones, phytoestrogens, UV-filters, industrial chemicals and pesticides by Trametes versicolor: Role of biosorption and biodegradation', International Biodeterioration & Biodegradation, vol. 88, pp. 169-175.
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Nguyen, TAH, Ngo, HH, Guo, WS, Nguyen, TV, Zhang, J, Liang, S, Chen, SS & Nguyen, NC 2014, 'A comparative study on different metal loaded soybean milk by-product 'okara' for biosorption of phosphorus from aqueous solution', BIORESOURCE TECHNOLOGY, vol. 169, pp. 291-298.
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Cationization of agricultural by-products using metal salts is widely used to activate their phosphorous capture ability. This study developed three kinds ofnew metal loaded soybean milk by-product `okara for phosphorus biosorption. A comparative study among these biosorbents was carried out with respect to their performances in terms of affinity, stability and reusability. Zirconium loaded okara (ZLO) was found to have the highest affinity towards PO43- anions (47.88 mg/g), followed by iron/zirconium loaded okara IZLO (40.96 mg/g) and iron loaded okara ILO (16.39 mg/g). ZLO was successfully desorbed with 0.2 M NaOH and activated with 0.1 HCl prior to the next cycle. After five consecutive cycles, the efficiency of both adsorption and desorption of ZLO remained about 85% whilst no Zr(IV) leakage was observed. Conversely, IZLO and ILO suffered from vitalshortcomingssuch ashigh metal release and/or sharp reduction in PO43- sequestering capability after multi operation cycles.
Nguyen, TAH, Ngo, HH, Guo, WS, Zhang, J, Liang, S, Lee, DJ, Nguyen, PD & Bui, XT 2014, 'Modification of agricultural waste/by-products for enhanced phosphate removal and recovery: Potential and obstacles', BIORESOURCE TECHNOLOGY, vol. 169, pp. 750-762.
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There is a growing trend to employ agricultural waste/by-products (AWBs) as the substrates for the development of phosphate biosorbents. Nevertheless, due to the lack of anion binding sites, natural AWBs are usually inefficient in phosphate decontamination. Consequently, modification plays a vital role in improving phosphate sorption's property of raw AWBs. This review paper evaluates all existing methods of modification. The literatures indicate that modification can significantly improve phosphate removal ability of AWBs by retaining phosphate ion onto modified AWBs principally via ion exchange (electrostatic interaction) and ligand exchange mechanisms. So far, little work has been done on the beneficial use of modified AWBs for the phosphorus recovery from aqueous solutions. The poor recyclability of modified AWBs could be responsible for their limited application. Hence, further study is essential to search for novel, cost-effective, and green methods of modification. © 2014 Elsevier Ltd.
Nguyen, TAH, Ngo, HH, Guo, WS, Zhou, JL, Wang, J, Liang, H & Li, G 2014, 'Phosphorus elimination from aqueous solution using 'zirconium loaded okara' as a biosorbent', BIORESOURCE TECHNOLOGY, vol. 170, pp. 30-37.
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This work deals with the capture of phosphorus from aqueous solutions by biosorption onto zirconium loaded okara (ZLO). The batch-mode experiments were conducted to examine the effect of pH, biosorbent dose, initial phosphorus concentration, contact time, and temperature on the process. It was found that, the adsorption was most favored in the pH range of 2-6. The optimal doses for the adsorption, at initial phosphorus concentrations of 5, 10, 25, 50mg/L were 2, 3, 7, 10g/L, respectively. The maximum adsorption capacity of ZLO was approximately 44.13mg PO4/g at 298K. The phosphate removal was rapid, reaching 95% in 30min. Freundlich model best fitted the equilibrium data, while Pseudo-second order model satisfactorily described the kinetic results. Thermodynamic analysis revealed feasible, spontaneous, and endothermic nature of the process. The research would be beneficial for developing a promising, eco-friendly phosphorus biosorbent from a plentiful AWB - okara. © 2014 Elsevier Ltd.
Nguyen, TC, Loganathan, P, Nguyen, TV, Vigneswaran, S, Kandasamy, J, Slee, D, Stevenson, G & Naidu, R 2014, 'Polycyclic aromatic hydrocarbons in road-deposited sediments, water sediments, and soils in Sydney, Australia: Comparisons of concentration distribution, sources and potential toxicity', ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, vol. 104, no. 1, pp. 339-348.
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Sixteen polycyclic aromatic hydrocarbons (PAHs) considered as priority environmental pollutants were analysed in surface natural soils (NS), road-deposited sediments (RDS), and water sediments (WS) at Kogarah in Sydney, Australia. Comparisons were made of their concentration distributions, likely sources and potential toxicities. The concentrations (mg/kg) in NS, RDS, and WS ranged from 0.40 to 7.49 (mean 2.80), 1.65 to 4.00 (mean 2.91), and 0.49 to 5.19 (mean 1.76), respectively. PAHs were dominated by relatively high molecular weight compounds with more than three fused benzene rings, indicating that high temperature combustion processes were their predominant sources. The proportions of high molecular weight PAHs with five or six fused benzene rings were higher in NS than in RDS, whereas the low molecular weight PAHs were higher in RDS. Concentrations of all PAHs compounds were observed to be the lowest in WS. The concentrations of most of the high molecular weight PAHs significantly correlated with each other in RDS and WS. All PAHs (except naphthalene) were significantly correlated in NS suggesting a common PAH source. Ratios for individual diagnostic PAHs demonstrated that the primary source of PAHs in WS and NS was of pyrogenic origin (combustion of petroleum (vehicle exhaust), grass, and wood) while in RDS it was petrogenic (i.e. unburned or leaked fuel and oil, road asphalt, and tyre particles) as well as pyrogenic. The potential toxicities of PAHs calculated using a toxicity equivalent quotient (TEQ) were all low but higher for NS compared to WS and RDS. © 2014 Elsevier Inc.
Nguyen, TN, Su, S & Nguyen, HT 2014, 'Neural Network Based Diagonal Decoupling Control of Powered Wheelchair Systems', IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 22, no. 2, pp. 371-378.
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This paper proposes an advanced diagonal decou- pling control method for powered wheelchair systems. This control method is based on a combination of the systematic diagonaliza- tion technique and the neural network control design. As such, this control method reduces coupling effects on a multivariable system, leading to independent control design procedures. Using an obtained dynamic model, the problem of the plants Jacobian calculation is eliminated in a neural network control design. The effectiveness of the proposed control method is verified in a real-time implementation on a powered wheelchair system. The obtained results confirm that robustness and desired performance of the overall system are guaranteed, even under parameter uncertainty effects.
Nguyen, TN, Su, S, Celler, B & Nguyen, H 2014, 'Advanced portable remote monitoring system for the regulation of treadmill running exercises', Artificial Intelligence in Medicine, vol. 61, no. 2, pp. 119-126.
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This study aims to develop an advanced portable remote monitoring system to supervise high intensity treadmill exercises. The supervisory level of the developed hierarchical system is implemented on a portable monitoring device (iPhone/iPad) as a client application, while the real-time control of treadmill exercises is accomplished by using an on-line adaptive neural network control scheme in a local computer system. During training or rehabilitation exercises, the intensity (measured by heart rate) is regulated by simultaneously manipulating both treadmill speed and gradient. In order to achieve adaptive tracking performance, a neural network controller has been designed and implemented. Six real-time experiments have been conducted to test the performance of the developed monitoring system. Experimental results obtained in real-time with heart-rate set-point varying from 145 bpm to 180 bmp, demonstrate that the proposed system can quickly and accurately regulate exercise intensity of treadmill running exercises with desired performance (no overshoot, settling time Ts = 100 s). Subjects aged from 29 to 38 years old participated in different set-point experiments to confirm the system's adaptability to inter- and intra-model uncertainty. The desired system performance under external disturbances has also been confirmed in a final real-time experiment demonstrating a user carrying the 10 kg bag then removing it during the exercise. In contrast with conventional control approaches, the proposed adaptive controller achieves better heart rate tracking performance under inter- and intra-model uncertainty and external disturbances. The developed system can automatically adapt to various individual exercisers and a range of exercise intensity.
Nguyen, TTS, Lu, HY & Lu, J 2014, 'Web-Page Recommendation Based on Web Usage and Domain Knowledge', IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 26, no. 10, pp. 2574-2587.
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Nguyen, TV 2014, 'Osteoarthritis in southeast Asia', International Journal of Clinical Rheumatology, vol. 9, no. 5, pp. 405-408.
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Osteoarthritis (OA) is a multifactorial and
complex disease that involves change in
articular bone and cartilage structure. The
multifactorial nature of OA is that the disease
is not a single entity, but encompasses
many entities, including the the loss of cartilage
within synovial joints, hypertrophy
of bone, and thickening of the capsule. The
complexity is in the causality and etiology
of the disease as its risk is determined by
multiple, and probably interactive, effects of
genetic and environmental factors.
Nguyen, TV, Jeong, S, Pham, TTN, Kandasamy, J & Vigneswaran, S 2014, 'Effect of granular activated carbon filter on the subsequent flocculation in seawater treatment', Desalination, vol. 354, pp. 9-16.
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© 2014 Elsevier B.V. In this study, a granular activated carbon (GAC) filter was used to remove organics from seawater. The effect of GAC filtration on the subsequent treating of seawater by flocculation was evaluated through Jar test experiments and submerged membrane coagulation hybrid system (SMCHS). GAC filtration removed 70% of low molecular weight (LMW) neutrals and acids from seawater which helped to reduce the biofouling of membrane. GAC filtration also helped to reduce flocculant dose significantly. Relatively high doses of ferric chloride (FeCl3 3mg/L) and poly-ferric sulfate (PFS 2mg/L) were normally needed to obtain high organic removal when flocculation was used without the pretreatment of GAC filter adsorption. The use of GAC filtration prior to the application of SMCHS reduced the flocculant dosage to 1mg/L to achieve the same removal. The subsequent flocculation by different flocculants such as ferric chloride (FeCl3) and poly-ferric sulfate (PFS) was found to be able to remove biopolymers which were not effectively removed by the pretreatment (GAC filtration). The technical and cost analyses made showed that a combination of GAC filtration and flocculation with low flocculant dose can be a superior technical and economical solution for seawater pretreatment.
Nguyen, TV, Loganathan, P, Vigneswaran, S, Krupanidhi, S, Pham, TTN & Ngo, H-H 2014, 'Arsenic waste from water treatment systems: characteristics, treatments and its disposal', Water Science and Technology-Water Supply, vol. 14, no. 6, pp. 939-950.
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© IWA Publishing 2014. As with other water treatment systems, arsenic treatment creates not only quality water but arsenic waste as well. Management of arsenic waste is now becoming a major public concern due to its harmful effects on the surrounding environment, including serious health problems such as skin cancers and various internal carcinomas. The main aim of this paper is to review: (i) the characteristics of arsenic waste produced by arsenic treatment systems; and (ii) the treatment and disposal methods of this waste. Arsenic waste type or its characteristics play an important role in choosing the best method of treatment and disposal. Currently, encapsulation of arsenic waste through solidification/stabilization (S/S) techniques is considered to be the most attractive solution and this method is the focus of this review. A number of studies have used cement by itself and in combination with additives such as lime, iron, silicates, or fly ash in the S/S process. Although there is a lack of systematic investigations and differing procedures for testing the effectiveness of the treatment methods, it was agreed that incorporating additives could increase the effectiveness of the S/S process depending on the type and dose of additives.
Ni, B-J, Joss, A & Yuan, Z 2014, 'Modeling nitrogen removal with partial nitritation and anammox in one floc-based sequencing batch reactor', Water Research, vol. 67, pp. 321-329.
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Full-scale application of partial nitritation and anammox in a single floc-based sequencing batch reactor (SBR) has been achieved for high-rate nitrogen (N) removal, but mechanisms resulting in reliable operation are not well understood. In this work, a mathematical model was calibrated and validated to evaluate operating conditions that lead to out-competition of nitrite oxidizers (NOB) from the SBRs and allow to maintain high anammox activity during long-term operation. The validity of the model was tested using experimental data from two independent previously reported floc-based full-scale SBRs for N-removal via partial nitritation and anammox, with different aeration strategies at aeration phase (continuous vs. intermittent aeration). The model described the SBR cycle profiles and long-term dynamic data from the two SBR plants sufficiently and provided insights into the dynamics of microbial population fractions and N-removal performance. Ammonium oxidation and anammox reaction could occur simultaneously at DO range of 0.15-0.3 mg O2 L(-1) at aeration phase under continuous aeration condition, allowing simplified process control compared to intermittent aeration. The oxygen supply beyond prompt depletion by ammonium oxidizers (AOB) would lead to the growth of NOB competing with anammox for nitrite. NOB could also be washed out of the system and high anammox fractions could be maintained by controlling sludge age higher than 40 days and DO at around 0.2 mg O2 L(-1). Furthermore, the results suggest that N-removal in SBR occurs via both alternating nitritation/anammox and simultaneous nitritation/anammox, supporting an alternative strategy to improve N-removal in this promising treatment process, i.e., different anaerobic phases can be implemented in the SBR-cycle configuration.
Ni, B-J, Peng, L, Law, Y, Guo, J & Yuan, Z 2014, 'Modeling of Nitrous Oxide Production by Autotrophic Ammonia-Oxidizing Bacteria with Multiple Production Pathways', Environmental Science & Technology, vol. 48, no. 7, pp. 3916-3924.
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Autotrophic ammonia oxidizing bacteria (AOB) have been recognized as a major contributor to N2O production in wastewater treatment systems. However, so far N2O models have been proposed based on a single N2O production pathway by AOB, and there is still a lack of effective approach for the integration of these models. In this work, an integrated mathematical model that considers multiple production pathways is developed to describe N2O production by AOB. The pathways considered include the nitrifier denitrification pathway (N2O as the final product of AOB denitrification with NO2(-) as the terminal electron acceptor) and the hydroxylamine (NH2OH) pathway (N2O as a byproduct of incomplete oxidation of NH2OH to NO2(-)). In this model, the oxidation and reduction processes are modeled separately, with intracellular electron carriers introduced to link the two types of processes. The model is calibrated and validated using experimental data obtained with two independent nitrifying cultures. The model satisfactorily describes the N2O data from both systems. The model also predicts shifts of the dominating pathway at various dissolved oxygen (DO) and nitrite levels, consistent with previous hypotheses. This unified model is expected to enhance our ability to predict N2O production by AOB in wastewater treatment systems under varying operational conditions.
Ni, J, Indraratna, B, Geng, XY, Chen, YL & Zhu, Y 2014, 'Experimental study of the combined effect of cyclic stress level and loading frequency on the performance of soft clays', Gongcheng Lixue/Engineering Mechanics, vol. 31, no. 10, pp. 167-173.
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Undrained cyclic triaxial tests were conducted on soft clay to investigate the combined effect of cyclic stress level and loading frequency on the generation of excess pore water pressures and axial strains with the number of loading cycles or time. The results indicate that for a given cyclic stress level, the soil properties under various loading frequencies are slightly different if an identical number of loading cycles is considered, whereas they do not deviate from each other if an identical time is considered. In addition, failure occurs when the cyclic stress level exceeds a critical value irrespective of the loading frequency. The combined effect of a cyclic stress level and a loading frequency was studied by analyzing the strain rate in this stress-controlled cyclic loading test. It is shown that for a given cyclic stress level, the strain rate at various loading frequencies are almost same, implying that the influence of a cyclic stress level on the soft clay behavior is stronger compared to a loading frequency.
Ni, W, Cheng, J, Shi, L, Li, X, Wang, B, Guan, Q, Huang, L, Gu, G & Li, H 2014, 'Integration of Sn/C yolk–shell nanostructures into free-standing conductive networks as hierarchical composite 3D electrodes and the Li-ion insertion/extraction properties in a gel-type lithium-ion battery thereof', J. Mater. Chem. A, vol. 2, no. 45, pp. 19122-19130.
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Complex Sn/C hollow elastic nanostructures integrated into flexible nanofibers as ideal 3D composite electrodes were preliminarily developed with energy-related potentials.
Ni, W, Collings, IB, Liu, RP & Chen, Z 2014, 'Relay-Assisted Wireless Communication Systems in Mining Vehicle Safety Applications', IEEE Transactions on Industrial Informatics, vol. 10, no. 1, pp. 615-627.
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Relays enabled with multiuser MIMO techniques have great potential to mining vehicle safety applications. However, they are yet to be practical due to high scheduling overhead in mobile, radio-unfriendly, mining environments. A new decentralized relay-assisted multiuser MIMO approach is proposed, which cuts the overhead by 80% and enables relay-assisted multiuser MIMO to be implemented in practice. This approach is a new distributed participatory downlink transmission method, where both the relays and destinations participate in the scheduling decisions. A new recursive algorithm is also developed to optimally quantize the channel conditions of the vehicles, thereby minimizing the feedback requirement. Analytical results, confirmed by simulations, show that the proposed approach is able to achieve 97.6% of the sum-rate upper bound of the network, using only three bits to characterize the channel condition of each vehicle. In terms of throughput, the proposed decentralized scheme can perform 45.2% better than the existing centralized scheme. The proposed approach is compatible with industrial communication standards and can be implemented with commercial industrial communication systems. © 2005-2012 IEEE.
Ni, W, Collings, IB, Wang, X & Liu, RP 2014, 'Multi-hop point-to-point FDD wireless backhaul for mobile small cells', IEEE Wireless Communications, vol. 21, no. 4, pp. 88-96.
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Point-to-point FDD microwave can be a fastto- install and cost-effective backhaul solution for mobile small cells. However, its applications have been held back, because the state-of-the-art static backhaul deployment fails to capture drastically fluctuating small cell traffic. To address this issue we introduce a new adaptive backhaul architecture that is able to adapt to changing small cell traffic. Extended from a graph theoretic clique idea, the architecture allows changes to the overall backhaul topology, and it also allows each individual backhaul link to vary its frequency to meet traffic demand. Guard bands are adaptively reserved between some of the links to suppress adjacent-frequency interference, while being efficiently used by other links for data transmission. Our case study of 10 small cells confirms that the adaptive architecture is able to increase the small cell throughput by 75 percent compared to the static backhaul architecture. It can also reduce the backhaul bandwidth requirement by 57 percent, and enhance small cells¿ satisfaction by 158.4 percent with respect to their allocated bandwidths. © 2002-2012 IEEE.
Ni, W, Liu, RP, Biswas, J, Wang, X, Collings, IB & Jha, SK 2014, 'Multiuser MIMO Scheduling for Mobile Video Applications', IEEE Transactions on Wireless Communications, vol. 13, no. 10, pp. 5382-5395.
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© 2014 IEEE. Bandwidth-demanding mobile video applications are becoming increasingly popular in wireless networks, leading to a relentless growth in the demand for wireless throughput and quality of service (QoS). Multiuser Multiple-Input Multiple-Output (MIMO) has great potential to meet the growth of wireless throughput. However, this advancement in physical-layer technologies does not necessarily translate into better QoS for the applications, unless the design principles and operating protocols at the higher layers of the networking stack are adapted accordingly to fully capture this potential. We propose a new scheduling algorithm, which selectsmobile users to form multiuser MIMO based on the priorities we carefully design to leverage the demands of wireless throughput and video quality. We also develop a new computationally efficient parallel technique to calculate the priorities precisely, which allows the users to be selected in a computationally effective way. Analyses and simulations show that the proposed scheme allows video applications to achieve close to the throughput upper bound of multiuser MIMO. Our scheme also improves the video quality by reducing the loss of video enhancement packets by an order of magnitude and by reducing the delay by 35%, compared to the state of the art.
Ni, W, Wang, B, Cheng, J, Li, X, Guan, Q, Gu, G & Huang, L 2014, 'Hierarchical foam of exposed ultrathin nickel nanosheets supported on chainlike Ni-nanowires and the derivative chalcogenide for enhanced pseudocapacitance', Nanoscale, vol. 6, no. 5, pp. 2618-2623.
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Hierarchical nickel made of exposed ultrathin nanosheets on thin-wire backbones is controllably synthesized and its NiS2 derivative shows high capacity for pseudocapacitors.
Noraini, MY, Ong, HC, Badrul, MJ & Chong, WT 2014, 'A review on potential enzymatic reaction for biofuel production from algae', Renewable and Sustainable Energy Reviews, vol. 39, pp. 24-34.
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Nourani, V, Pradhan, B, Ghaffari, H & Sharifi, SS 2014, 'Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models', Natural Hazards, vol. 71, no. 1, pp. 523-547.
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Noushini, A, Samali, B & Vessalas, K 2014, 'Static mechanical properties of polyvinyl alcohol fibre reinforced concrete (PVA-FRC)', MAGAZINE OF CONCRETE RESEARCH, vol. 66, no. 9, pp. 465-483.
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This investigation assessed the performance of polyvinyl alcohol (PVA) fibres of 6 mm and 12 mm length in concrete. Based on total concrete volume, four fibre fractions (0.125, 0.25, 0.375 and 0.5%) were evaluated for their effect on fresh and hardened properties of PVA fibre reinforced concretes (PVA-FRCs). Fly ash was also used as partial replacement of Portland cement in all the mixes. By carrying out a comprehensive set of experiments (compressive strength, splitting tensile strength, modulus of elasticity, modulus of rupture and residual flexural strength), it was observed that PVA fibre significantly enhances the static mechanical properties of concrete as well as improving its post-peak response and ductile behaviour.
Noushini, A, Vessalas, K, Arabian, G & Samali, B 2014, 'Drying Shrinkage Behaviour of Fibre Reinforced Concrete Incorporating Polyvinyl Alcohol Fibres and Fly Ash', Advances in Civil Engineering, vol. 2014, pp. 1-10.
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The current study assesses the drying shrinkage behaviour of polyvinyl alcohol fibre reinforced concrete (PVA-FRC) containing short-length (6 mm) and long-length (12 mm) uncoated monofilament PVA fibres at 0.125%, 0.25%, 0.375%, and 0.5% volumetric fractions. Fly ash is also used as a partial replacement of Portland cement in all mixes. PVA-FRC mixes have been compared to length change of control concrete (devoid of fibres) at 3 storage intervals: early-age (0–7 days), short-term (0–28 days), and long-term (28–112 days) intervals. The shrinkage results of FRC and control concrete up to 112 days indicated that all PVA-FRC mixes exhibited higher drying shrinkage than control. The shrinkage exhibited by PVA-FRC mixes ranged from 449 to 480 microstrain, where this value was only 427 microstrain in the case of control. In addition, the longer fibres exhibited higher mass loss, thus potentially contributing to higher shrinkage.
Numbi, BP, Zhang, J & Xia, X 2014, 'Optimal energy management for a jaw crushing process in deep mines', Energy, vol. 68, pp. 337-348.
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Nur, T, Johir, MAH, Loganathan, P, Nguyen, T, Vigneswaran, S & Kandasamy, J 2014, 'Phosphate removal from water using an iron oxide impregnated strong base anion exchange resin', JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY, vol. 20, no. 4, pp. 1301-1307.
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Removing phosphate from water is important as it causes eutrophication, which in turn has a harmful effect on aquatic life, resulting in a reduction in biodiversity. On the other hand, recovery of phosphate from phosphorus containing wastewater is essential for developing an alternative source of phosphorus to overcome the global challenge of phosphorus scarcity. Phosphate removal from aqueous solutions was studied using an iron oxide impregnated strong base anion exchange resin, Purolite FerrIX A33E in batch and fixed-bed column experiments. Phosphate adsorption in the batch study satisfactorily fitted to the Langmuir isotherm with a maximum adsorption capacity of 48mgP/g. In the column study, increase in inlet phosphate concentration (5-30 mgP/L), and filtration velocity (2.5-10 m/h) resulted in faster breakthrough times and increase in breakthrough adsorption capacities. Increase in bed height (3-19 cm) also increased adsorption capacity but the breakthrough time was slower. The breakthrough data were reasonably well described using the empirical models of Bohart-Adams, Thomas, and Yoon-Nelson, except for high bed heights. Phosphate adsorbed was effectively desorbed using 1M NaOH and the adsorbent was regenerated after each of three adsorption/desorption cycles by maintaining the adsorption capacity at >90% of the original value. Greater than 99.5% of the desorbed P was recovered by precipitation using CaCl2. © 2013 The Korean Society of Industrial and Engineering Chemistry.
Nur, T, Loganathan, P, Nguyen, TC, Vigneswaran, S, Singh, G & Kandasamy, J 2014, 'Batch and column adsorption and desorption of fluoride using hydrous ferric oxide: Solution chemistry and modeling', CHEMICAL ENGINEERING JOURNAL, vol. 247, pp. 93-102.
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Elevated intake of fluoride (F), mainly through drinking water, is a major threat to human health worldwide. A study was conducted to remove F from aqueous solution by adsorption onto hydrous ferric oxide (HFO) in batch and fixed-bed column experiments. Of the seven adsorbents (four anion exchange resins, three multivalent metal oxides) tested, HFO had the highest adsorption capacity. Fluoride adsorption on HFO fitted well to Langmuir and Freundlich models with a Langmuir adsorption maximum of 6.71mg F/g at pH 6.5. Fluoride adsorption continuously decreased from pH 3 to 7. Point of zero charge of HFO was pH 5 which fell to pH 4 in the presence of 10mg F/L and 1g HFO/L, indicating that F was specifically adsorbed on HFO. Fluoride was not desorbed by 0.1M NaCl and 0.1M Na2SO4 but effectively desorbed by 0.1M NaOH. The F adsorption capacity in column experiments (10% or 20% HFO+90% or 80% anthracite) was progressively reduced with increasing number of adsorption/NaOH desorption cycles up to three cycles reaching a final value of 3.26mg F/g HFO. The breakthrough data from column studies at different bed heights, inlet concentrations, and pHs were fairly well described by Thomas model, but using an artificial neural network approach improved the model capability. © 2014 Elsevier B.V.
Nur, T, Shim, WG, Johir, MAH, Vigneswaran, S & Kandasamy, J 2014, 'Modelling of phosphorus removal by ion-exchange resin (Purolite FerrIX A33E) in fixed-bed column experiments', Desalination and Water Treatment, vol. 52, no. 4-6, pp. 784-790.
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Phosphorus removal is important as it causes eutrophication that in turn has a harmful effect on fish and other aquatic life, resulting in a reduction in biodiversity as well as unfavourable human environmental health. In this study, phosphorus removal from aqueous solutions was studied using an ion-exchange resin (Purolite FerrIX A33E) in fixed-bed column experiments. The effects of adsorbent bed height (3-19 cm) on the breakthrough characteristics of the adsorption system were studied. An increase in bed height (3-19 cm) increased adsorption capacity but the breakthrough time was shorter. As the bed height increased, the detention time increased and the phosphate was in contact with the purolite ion-exchange resin for a longer time, resulting in more efficient removal of phosphate. The shape of breakthrough curve was steeper for a shorter bed height. A mathematical model (advection-dispersion equation) was solved numerically to predict the dynamic behaviour of the columns. Finally, sensitivity analysis results apparently revealed that the dynamic adsorption behaviours of phosphate in Purolite FerrIX A33E were mainly controlled by the external mass transfer rather than the axial dispersion and the intra-particle diffusion. © 2013 © 2013 Balaban Desalination Publications. All rights reserved.
Oakes, SR, Gallego-Ortega, D & Ormandy, CJ 2014, 'The mammary cellular hierarchy and breast cancer', Cellular and Molecular Life Sciences, vol. 71, no. 22, pp. 4301-4324.
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Oates, A, Cabrera-España, FJ, Agrawal, A & Reehal, HS 2014, 'Fabrication and characterisation of Si micropillar PV structures', Materials Research Innovations, vol. 18, no. 7, pp. 500-504.
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Oates, A, Cabrera-España, FJ, Agrawal, A & Reehal, HS 2014, 'Fabrication and characterisation of Si micropillar PV structures', Materials Research Innovations, vol. 18, pp. 500-504.
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Oberst, S, Baro, EN, Lai, JCS & Evans, TA 2014, 'Quantifying Ant Activity Using Vibration Measurements', PLoS ONE, vol. 9, no. 3, pp. e90902-e90902.
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Oberst, S, Evans, TA & Lai, JCS 2014, 'Novel Method for Pairing Wood Samples in Choice Tests', PLoS ONE, vol. 9, no. 2, pp. e88835-e88835.
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Ong, HC, Masjuki, HH, Mahlia, TMI, Silitonga, AS, Chong, WT & Leong, KY 2014, 'Optimization of biodiesel production and engine performance from high free fatty acid Calophyllum inophyllum oil in CI diesel engine', Energy Conversion and Management, vol. 81, pp. 30-40.
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Ong, HC, Masjuki, HH, Mahlia, TMI, Silitonga, AS, Chong, WT & Yusaf, T 2014, 'Engine performance and emissions using Jatropha curcas, Ceiba pentandra and Calophyllum inophyllum biodiesel in a CI diesel engine', Energy, vol. 69, pp. 427-445.
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Pal, S, Pal, U & Blumenstein, M 2014, 'Signature-Based Biometric Authentication', Studies in Computational Intelligence, vol. 555, pp. 285-314.
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In a modern, civilized and advanced society, reliable authentication and authorization of individuals are becoming more essential tasks in several aspects of daily activities and as well as many different important applications such as in financial transactions, access control, travel and immigration, healthcare etc. In some situations, when individual equipment is required for confirmation of one's identity to other groups of people in order to make use of services or to achieve access to physical places, it is always necessary to declare self-identity and to prove the claim. Traditional authentication methods, which are based on knowledge (password-based authentication) or the utility of a token (photo ID cards, magnetic strip cards and key-based authentication), are less reliable because of loss, forgetfulness and theft. These issues direct substantial attention towards biometrics as an alternative method for person authentication and identification. The word 'biometric' has been derived from the Greek words "Bio-metriks", "Bio" which means life and "metriks" which means measures. Therefore a biometric is the measurement and statistical analysis of unchanging biological characteristics. Biometrics evaluate a person's unique physical or behavioural traits to authenticate their identity. As biometric identifiers are unique to persons, they are more reliable in verifying identity than token-based and knowledge-based methods. In the last few years, substantial efforts have been devoted to the development of biometric-based authentication systems. Biometrics provide an expected and successful solution to the authentication problem, as it offers the construction of systems that can identify individuals by the analysis of their physiological or behavioural characteristics [1]. In fact, the field of biometrics is the science of using digital technologies and the intention of biometric systems is to perform the recognition or authentication of people based on some biol...
Palash, SM, Kalam, MA, Masjuki, HH, Arbab, MI, Masum, BM & Sanjid, A 2014, 'Impacts of NOx reducing antioxidant additive on performance and emissions of a multi-cylinder diesel engine fueled with Jatropha biodiesel blends', Energy Conversion and Management, vol. 77, pp. 577-585.
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Paler, A, Devitt, SJ, Nemoto, K & Polian, I 2014, 'Mapping of Topological Quantum Circuits to Physical Hardware', Sci. Rep., vol. 4, p. 4657.
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Topological quantum computation is a promising technique to achievelarge-scale, error-corrected computation. Quantum hardware is used to create alarge, 3-dimensional lattice of entangled qubits while performing computationrequires strategic measurement in accordance with a topological circuitspecification. The specification is a geometric structure that defines encodedinformation and fault-tolerant operations. The compilation of a topologicalcircuit is one important aspect of programming a quantum computer, another isthe mapping of the topological circuit into the operations performed by thehardware. Each qubit has to be controlled, and measurement results are neededto propagate encoded quantum information from input to output. In this work, weintroduce an algorithm for mapping an topological circuit to the operationsneeded by the physical hardware. We determine the control commands for eachqubit in the computer and the relevant measurements that are needed to trackinformation as it moves through the circuit.
Pan, P, Zheng, B, Song, R & Ni, W 2014, 'Feed back load analysis for broadcast channels with zero‐forcing beamforming', IET Communications, vol. 8, no. 18, pp. 3326-3332.
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Pang, SC, Masjuki, HH, Kalam, MA & Hazrat, MA 2014, 'Transient simulation of coolant peak temperature due to prolonged fan and/or water pump operation after the vehicle is keyed-off', Heat and Mass Transfer, vol. 50, no. 1, pp. 39-56.
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Pang, YL, Lim, S, Ong, HC & Chong, WT 2014, 'A critical review on the recent progress of synthesizing techniques and fabrication of TiO2-based nanotubes photocatalysts', Applied Catalysis A: General, vol. 481, pp. 127-142.
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Papageorgiou, I, Abberton, T, Fuller, M, Tipper, J, Fisher, J & Ingham, E 2014, 'Biological Effects of Clinically Relevant CoCr Nanoparticles in the Dura Mater: An Organ Culture Study', Nanomaterials, vol. 4, no. 2, pp. 485-504.
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Papageorgiou, I, Marsh, R, Tipper, JL, Hall, RM, Fisher, J & Ingham, E 2014, 'Interaction of micron and nano‐sized particles with cells of the dura mater', Journal of Biomedical Materials Research Part B: Applied Biomaterials, vol. 102, no. 7, pp. 1496-1505.
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AbstractIntervertebral total disc replacements (TDR) are used in the treatment of degenerative spinal disc disease. There are, however, concerns that they may be subject to long‐term failure due to wear. The adverse effects of TDR wear have the potential to manifest in the dura mater and surrounding tissues. The aim of this study was to investigate the physiological structure of the dura mater, isolate the resident dural epithelial and stromal cells and analyse the capacity of these cells to internalise model polymer particles. The porcine dura mater was a collagen‐rich structure encompassing regularly arranged fibroblastic cells within an outermost epithelial cell layer. The isolated dural epithelial cells had endothelial cell characteristics (positive for von Willebrand factor, CD31, E‐cadherin and desmoplakin) and barrier functionality whereas the fibroblastic cells were positive for collagen I and III, tenascin and actin. The capacity of the dural cells to take up model particles was dependent on particle size. Nanometer sized particles readily penetrated both types of cells. However, dural fibroblasts engulfed micron‐sized particles at a much higher rate than dural epithelial cells. The study suggested that dural epithelial cells may offer some barrier to the penetration of micron‐sized particles but not nanometer sized particles. © 2014 The Authors. Journal of Biomedical Materials Research Part B: Applied Biomaterials Published by Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater, 102B: 1496–1505, 2014.
Park, C-H, Kim, EK, Tijing, LD, Amarjargal, A, Pant, HR, Kim, CS & Shon, HK 2014, 'Preparation and characterization of LA/PCL composite fibers containing beta tricalcium phosphate (β-TCP) particles', Ceramics International, vol. 40, no. 3, pp. 5049-5054.
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Beta-TCP (β-TCP) particle-containing LA/PCL micro/nanofibers were fabricated via a one-step electrospinning process. The morphology and chemical structure of the composite nanofibers were characterized by FESEM, XRD, and FTIR. Rougher surfaces were observed for the LA/PCL micro/nanofibers containing β-TCP compared to the neat LA/PCL fibers, which could possibly provide extra sites for cell binding. XRD and FTIR confirmed the presence of β-TCP as being firmly deposited on the fibers. After an immersion in distilled water, we observed that the β-TCP-containing composite fibers were more degradable with many damaged and broken fibers compared to the LA/PCL fibers. MTT assay and immersion test showed better cell viability and proliferation, and improved mineralization ability compared to the LA/PCL only mat. Thus, the incorporation of β-TCP and the presence of LA in PCL micro/nanofibers could result to an improved biocompatibility and faster degradation of the composite fibers, which would possibly be useful for tissue scaffold application.
Park, CH, Tijing, LD, Kim, CS & Lee, K-M 2014, 'Needle-free transdermal delivery using PLGA nanoparticles: Effect of particle size, injection pressure and syringe orifice diameter', Colloids and Surfaces B: Biointerfaces, vol. 123, pp. 710-715.
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Park, CH, Tijing, LD, Shon, HK & Kim, CS 2014, 'Silicone-coatingof nitinol stent wires by electrospinning: Catheter deployment test', Digest Journal of Nanomaterials and Biostructures, vol. 9, no. 1, pp. 1-6.
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In this study, we investigated the effect of silicone-coating of individual wires on the deployment force of a non-vascular stent. As a new strategy, we utilized an electrospinning technique to selectively coat the wires of the stent, not including the spaces between the intersecting stent wires. We characterized the stent coating and wires with various characterization techniques. The tensile properties of the silicone film at different drying temperatures were measured and catheter deployment test was carried out. Fully silicone film-encapsulated Nitinolwires were obtained after drying at 150 and 200°C. The siliconecoated stent showed lower deployment force compared to the bare stent. This is attributed to the smoother surface provided by the silicone coating. Furthermore, the coating enhances the bending ability of the stent. The facile coating technique could provide improve catheter stent deployment as well as improve the biocompatibility of the stent.
Parsa-Pajouh, A, Fatahi, B, Vincent, P & Khabbaz, H 2014, 'Analyzing consolidation data to predict smear zone characteristics induced by vertical drain installation for soft soil improvement', GEOMECHANICS AND ENGINEERING, vol. 7, no. 1, pp. 105-131.
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In this paper, the effects of variability of smear zone characteristics induced by installation of prefabricated vertical drains on the preloading design are investigated employing analytical and numerical approaches. Conventional radial consolidation theory has been adopted to conduct analytical parametric studies considering variations of smear zone permeability and extent. FLAC 2D finite difference software has been employed to conduct the numerical simulations. The finite difference analyses have been verified using three case studies including two embankments and a large-scale laboratory consolidometer with a central geosynthetic vertical drain. A comprehensive numerical parametric study is conducted to investigate the influence of smear zone permeability and extent on the model predictions. Furthermore, the construction of the trial embankment is recommended as a reliable solution to estimate accurate smear zone properties and minimise the post construction settlement. A back-calculation procedure is employed to determine the minimum required waiting time after construction of the trial embankment to predict the smear zone characteristics precisely. Results of this study indicate that the accurate smear zone permeability and extent can be back-calculated when 30% degree of consolidation is obtained after construction of the trial embankment. © 2014 Techno-Press, Ltd.
Parsa-Pajouh, A, Fatahi, B, Vincent, P & Khabbaz, H 2014, 'Trial Embankment Analysis to Predict Smear Zone Characteristics Induced by Prefabricated Vertical Drain Installation', Geotechnical and Geological Engineering, vol. 32, no. 5, pp. 1187-1210.
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© 2014, Springer International Publishing Switzerland. In this study, FLAC finite difference software has been adopted to simulate the performance of the ground improved using prefabricated vertical drains assisted preloading, considering smear zone characteristics. The numerical code has been applied to predict smear zone properties employing a back calculation procedure using the results of several case studies. The construction of a trial embankment is proposed as a reliable method to predict the smear zone characteristics. The proposed back calculation method is applied to estimate the minimum required degree of consolidation and consequently the minimum required preloading time, resulting in a reliable estimation of the smear zone permeability and extent. Three preloading case studies considering both conventional preloading and vacuum assisted preloading have been simulated to verify the numerical code and to conduct the parametric study using the back calculation procedure. According to the results, the properties of the smear zone can be back-calculated reliably, when at least 33 % degree of consolidation due to trial embankment construction is achieved.
Parvareh, F, Sharma, M, Qadir, A, Milani, D, Khalilpour, R, Chiesa, M & Abbas, A 2014, 'Integration of solar energy in coal-fired power plants retrofitted with carbon capture: A review', RENEWABLE & SUSTAINABLE ENERGY REVIEWS, vol. 38, no. C, pp. 1029-1044.
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This paper reviews the utilization of solar thermal energy technology in assisting coal-fired power plants retrofitted with post-combustion carbon capture (PCC). The focus is on compensating the so-called ‘energy penalty’ imposed on the power plant output by the introduction of PCC plant operations. The integration of solar thermal energy can offset the power plant output reduction due to the PCC installation by totally, or partially providing the energy requirement of the carbon capture plant. The main process integration approaches proposed in this regard are reviewed; their advantages and drawbacks are discussed considering technical and climatic factors. The paper also discusses the merits of this hybridization of power, capture and solar plants as a transition solution for future low-carbon power generation.
Patel, M, Miro, JV, Kragic, D, Ek, CH & Dissanayake, G 2014, 'Learning object, grasping and manipulation activities using hierarchical HMMs', Autonomous Robots, vol. 37, no. 3, pp. 317-331.
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This article presents a probabilistic algorithm for representing and learning complex manipulation activities performed by humans in everyday life. The work builds on the multi-level Hierarchical Hidden Markov Model (HHMM) framework which allows decomposition of longer-term complex manipulation activities into layers of abstraction whereby the building blocks can be represented by simpler action modules called action primitives. This way, human task knowledge can be synthesised in a compact, effective representation suitable, for instance, to be subsequently transferred to a robot for imitation. The main contribution is the use of a robust framework capable of dealing with the uncertainty or incomplete data inherent to these activities, and the ability to represent behaviours at multiple levels of abstraction for enhanced task generalisation. Activity data from 3D video sequencing of human manipulation of different objects handled in everyday life is used for evaluation. A comparison with a mixed generative-discriminative hybrid model HHMM/SVM (support vector machine) is also presented to add rigour in highlighting the benefit of the proposed approach against comparable state of the art techniques. © 2014 Springer Science+Business Media New York.
Pendharkar, G, Naik, GR & Nguyen, HT 2014, 'Using Blind Source Separation on accelerometry data to analyze and distinguish the toe walking gait from normal gait in ITW children', Biomedical Signal Processing and Control, vol. 13, pp. 41-49.
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Gait analysis is an important aspect of Biomedical Engineering. In the recent past, researchers have applied several signal processing methods for the analysis of gait activities. Sensors such as accelerometers, gyroscopes and pressure sensors are more commonly used to identify gait activities remotely. Most of the applications have multiple sensors placed on a single board which is used for gait assessment. However, the problem with multiple sensors is the cross talk introduced by one sensor due to another sensor. Some of the applications use a single sensor such as accelerometer with dual axis measuring the gait activity in horizontal and vertical planes. Depending on the orientation of the accelerometer, the two axial outputs could have overlapping spectra which is very difficult to observe. Spectral and temporal filtering is not suitable for this because of overlapping spectra due to simultaneous movements of the foot in the horizontal and vertical planes. To reliably identify the gait activities, there is a need to decompose and separate the two vertical and horizontal acceleration signals. The earlier research has described a novel method which can be used remotely to identify the gait in ITW children. This paper discusses a lab based automated classification method using Blind Source Separation (BSS) technique to identify toe walking gait from normal gait in Idiopathic Toe Walkers (ITW) children. The outcome of the research study reveals that the BSS techniques in association with K-means classifier can suitably distinguish toe-walking gait from normal gait in ITW children with 97.9 ± 0.2% accuracy.
Peng, H, Tang, J, Xiao, H, Bria, A, Zhou, J, Butler, V, Zhou, Z, Gonzalez-Bellido, PT, Oh, SW, Chen, J, Mitra, A, Tsien, RW, Zeng, H, Ascoli, GA, Iannello, G, Hawrylycz, M, Myers, E & Long, F 2014, 'Virtual finger boosts three-dimensional imaging and microsurgery as well as terabyte volume image visualization and analysis', Nature Communications, vol. 5, no. 1.
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AbstractThree-dimensional (3D) bioimaging, visualization and data analysis are in strong need of powerful 3D exploration techniques. We develop virtual finger (VF) to generate 3D curves, points and regions-of-interest in the 3D space of a volumetric image with a single finger operation, such as a computer mouse stroke, or click or zoom from the 2D-projection plane of an image as visualized with a computer. VF provides efficient methods for acquisition, visualization and analysis of 3D images for roundworm, fruitfly, dragonfly, mouse, rat and human. Specifically, VF enables instant 3D optical zoom-in imaging, 3D free-form optical microsurgery, and 3D visualization and annotation of terabytes of whole-brain image volumes. VF also leads to orders of magnitude better efficiency of automated 3D reconstruction of neurons and similar biostructures over our previous systems. We use VF to generate from images of 1,107 Drosophila GAL4 lines a projectome of a Drosophila brain.
Peng, L & Stewart, MG 2014, 'Spatial time-dependent reliability analysis of corrosion damage to RC structures with climate change', Magazine of Concrete Research, vol. 66, no. 22, pp. 1154-1169.
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The environment around concrete structures may be influenced by a changing climate, especially in the long run, leading to an acceleration of deterioration. Therefore, the safety, serviceability and durability of concrete infrastructure may decline at a faster rate than expected. Carbonation-induced deterioration to concrete structures constructed in Sydney, Australia and Kunming, China under a changing climate is investigated in this paper. Two emissions scenarios are considered – RCP 8.5 and RCP 4.5, representing high and medium greenhouse gas emissions scenarios respectively. The spatial time-dependent reliability analysis includes time-dependent climate scenarios and deterioration processes, as well as a large number of random variables and spatial random fields of material properties and dimensions. The surface of concrete structures is discretised into a large number of elements and the likelihood and extent of corrosion damage is calculated by tracking the evolution of the corrosion process of each element using Monte Carlo simulations. The results show that a changing climate could cause the extent of damage to increase by up to 6% for reinforced concrete infrastructure in Kunming. The findings may be used to assess climate adaptation measures in the design stage, as well as a cost–benefit analysis of climate adaptation measures.
Peng, L, Ni, B-J, Erler, D, Ye, L & Yuan, Z 2014, 'The effect of dissolved oxygen on N 2 O production by ammonia-oxidizing bacteria in an enriched nitrifying sludge', Water Research, vol. 66, pp. 12-21.
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Dissolved oxygen (DO) is commonly recognized as an important factor influencing nitrous oxide (N2O) production by ammonia-oxidizing bacteria (AOB). However, it has been difficult to separate the true effect of DO from that of nitrite, as DO variation often affects nitrite accumulation. The effect of DO on N2O production by an enriched nitrifying sludge, consisting of both AOB and nitrite-oxidizing bacteria (NOB), was investigated in this study. Nitrite accumulation was minimised by augmenting nitrite oxidation through the addition of an enriched NOB sludge. It was demonstrated that the specific N2O production rate increased from 0 to 1.9 ± 0.09 (n = 3) mg N2O-N/hr/g VSS with an increase of DO concentration from 0 to 3.0 mg O2/L, whereas N2O emission factor (the ratio between N2O nitrogen emitted and the ammonium nitrogen converted) decreased from 10.6 ± 1.7% (n = 3) at DO = 0.2 mg O2/L to 2.4 ± 0.1% (n = 3) at DO = 3.0 mg O2/L. The site preference measurements indicated that both the AOB denitrification and hydroxylamine (NH2OH) oxidation pathways contributed to N2O production, and DO had an important effect on the relative contributions of the two pathways. This finding is supported by analysis of the process data using an N2O model describing both pathways. As DO increased from 0.2 to 3.0 mg O2/L, the contribution of AOB denitrification decreased from 92% - 95%-66% - 73%, accompanied by a corresponding increase in the contribution by the NH2OH oxidation pathway.
Peng, S, Wu, M, Wang, G & Yu, S 2014, 'Containing smartphone worm propagation with an influence maximization algorithm', Computer Networks, vol. 74, pp. 103-113.
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Peng, S, Wu, M, Wang, G & Yu, S 2014, 'Propagation model of smartphone worms based on semi-Markov process and social relationship graph', Computers & Security, vol. 44, pp. 92-103.
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Peng, S, Yu, S & Yang, A 2014, 'Smartphone Malware and Its Propagation Modeling: A Survey', IEEE Communications Surveys & Tutorials, vol. 16, no. 2, pp. 925-941.
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Perera, D, Chacon, D, Thoms, JAI, Poulos, RC, Shlien, A, Beck, D, Campbell, PJ, Pimanda, JE & Wong, JWH 2014, 'OncoCis: annotation of cis-regulatory mutations in cancer', GENOME BIOLOGY, vol. 15, no. 10, pp. 1-14.
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Whole genome sequencing has enabled the identification of thousands of somatic mutations within non-coding genomic regions of individual cancer samples. However, identification of mutations that potentially alter gene regulation remains a major challenge. Here we present OncoCis, a new method that enables identification of potential cis-regulatory mutations using cell type-specific genome and epigenome-wide datasets along with matching gene expression data. We demonstrate that the use of cell type-specific information and gene expression can significantly reduce the number of candidate cis-regulatory mutations compared with existing tools designed for the annotation of cis-regulatory SNPs.
Perrin, R, Elford, DP, Chalmers, L, Swallowe, GM, Moore, TR, Hamdan, S & Halkon, BJ 2014, 'Normal modes of a small gamelan gong', The Journal of the Acoustical Society of America, vol. 136, no. 4, pp. 1942-1950.
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Studies have been made of the normal modes of a 20.7 cm diameter steel gamelan gong. A finite-element model has been constructed and its predictions for normal modes compared with experimental results obtained using electronic speckle pattern interferometry. Agreement was reasonable in view of the lack of precision in the manufacture of the instrument. The results agree with expectations for an axially symmetric system subject to small symmetry breaking. The extent to which the results obey Chladni's law is discussed. Comparison with vibrational and acoustical spectra enabled the identification of the small number of modes responsible for the sound output when played normally. Evidence of non-linear behavior was found, mainly in the form of subharmonics of true modes. Experiments using scanning laser Doppler vibrometry gave satisfactory agreement with the other methods.
Peynot, T, Lui, S-T, McAllister, R, Fitch, R & Sukkarieh, S 2014, 'Learned Stochastic Mobility Prediction for Planning with Control Uncertainty on Unstructured Terrain', JOURNAL OF FIELD ROBOTICS, vol. 31, no. 6, pp. 969-995.
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© 2014 Wiley Periodicals, Inc. Motion planning for planetary rovers must consider control uncertainty in order to maintain the safety of the platform during navigation. Modeling such control uncertainty is difficult due to the complex interaction between the platform and its environment. In this paper, we propose a motion-planning approach whereby the outcome of control actions is learned from experience and represented statistically using a Gaussian process regression model. This mobility prediction model is trained using sample executions of motion primitives on representative terrain, and it predicts the future outcome of control actions on similar terrain. Using Gaussian process regression allows us to exploit its inherent measure of prediction uncertainty in planning. We integrate mobility prediction into a Markov decision process framework and use dynamic programming to construct a control policy for navigation to a goal region in a terrain map built using an onboard depth sensor. We consider both rigid terrain, consisting of uneven ground, small rocks, and nontraversable rocks, and also deformable terrain. We introduce two methods for training the mobility prediction model from either proprioceptive or exteroceptive observations, and we report results from nearly 300 experimental trials using a planetary rover platform in a Mars-analogue environment. Our results validate the approach and demonstrate the value of planning under uncertainty for safe and reliable navigation.
Phuntsho, S, Hong, S, Elimelech, M & Shon, HK 2014, 'Osmotic equilibrium in the forward osmosis process: Modelling, experiments and implications for process performance', JOURNAL OF MEMBRANE SCIENCE, vol. 453, pp. 240-252.
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Forward osmosis (FO) has gained significant research interest due to the wide range of potential applications in desalination and wastewater reuse. However, the FO process being concentration (osmosis) driven has its own intrinsic limitations. Net transfer of water across the membrane occurs until the point of osmotic equilibrium between the draw solution (DS) and the feed solution (FS). Without external intervention, it is impossible to dilute the DS beyond the point of osmotic equilibrium. In this study, the concept of osmotic equilibrium in the FO process is introduced by simulating conditions in a plate-and-frame FO membrane module using established mass transport models. The simulations evaluated the influence of various operating parameters on process performance, assessed in terms of water flux, feed recovery rate and the final concentration of the diluted DS. The counter-current crossflow mode of operation has been observed to be advantageous because it can achieve higher module average water flux, higher feed water recovery rates and higher DS final dilution. Based on the osmotic equilibrium concept and mass balance analysis, a modified equation for the water extraction capacity of a draw solute has been proposed. This study underscores the need for process optimisation for large-scale FO operations. © 2013 Elsevier B.V.
Phuntsho, S, Lotfi, F, Hong, S, Shaffer, DL, Elimelech, M & Shon, HK 2014, 'Membrane scaling and flux decline during fertiliser-drawn forward osmosis desalination of brackish groundwater', WATER RESEARCH, vol. 57, pp. 172-182.
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Fertiliser-drawn forward osmosis (FDFO) desalination has been recently studied as one feasible application of forward osmosis (FO) for irrigation. In this study, the potential of membrane scaling in the FDFO process has been investigated during the desalination of brackish groundwater (BGW). While most fertilisers containing monovalent ions did not result in any scaling when used as an FO draw solution (DS), diammonium phosphate (DAP or (NH4)2HPO4) resulted in significant scaling, which contributed to severe flux decline. Membrane autopsy using scanning electron microscopy (SEM), energy-dispersive x-ray spectroscopy (EDS), and x-ray diffraction (XRD) analysis indicated that the reverse diffusion of DAP from the DS to the feed solution was primarily responsible for scale formation during the FDFO process. Physical cleaning of the membrane with deionised water at varying crossflow velocities was employed to evaluate the reversibility of membrane scaling and the extent of flux recovery. For the membrane scaled using DAP as DS, 80-90% of the original flux was recovered when the crossflow velocity for physical cleaning was the same as the crossflow velocity during FDFO desalination. However, when a higher crossflow velocity or Reynolds number was used, the flux was recovered almost completely, irrespective of the DS concentration used. This study underscores the importance of selecting a suitable fertiliser for FDFO desalination of brackish groundwater to avoid membrane scaling and severe flux decline. © 2014 Elsevier Ltd.
PINEDA, JA, ROMERO, E, DE GRACIA, M & SHENG, D 2014, 'Shear strength degradation in claystones due to environmental effects', Géotechnique, vol. 64, no. 6, pp. 493-501.
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This note explores the influence of environmental effects, as those induced by cyclic changes in relative humidity, on the degradation of the shear strength parameters in Lilla claystone, a low-porosity clayey rock from northern Spain. The results of a comprehensive experimental programme, combining long-term relative humidity cycling tests with saturated direct shear tests, are described. A continuous monitoring of the evolution of volumetric strain during the previous relative humidity cycling is used to evaluate the swelling behaviour of the rock. Both undisturbed and degraded specimens are subjected to shearing at saturated conditions to determine the peak and post-rupture shear strength envelopes. The effects on rock brittleness and dilation angle are also analysed. Shear strength shows a strong dependence on the history of relative humidity cycling. In particular, the evolution of the peak shear strength parameters (c′ and φ′) seem to be related to the accumulated irreversible strains developed during each cycle. A damage law, recently proposed by the authors, is used to represent the progressive degradation of the shear strength parameters as a function of the accumulated irreversible strains.
Porter, SH, Huang, Z & Woodward, PM 2014, 'Study of Anion Order/Disorder in RTaN2O (R = La, Ce, Pr) Perovskite Nitride Oxides', Crystal Growth & Design, vol. 14, no. 1, pp. 117-125.
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Posselt, G, Fischer, J, Heinemann, T, Thiede, S, Alvandi, S, Weinert, N, Kara, S & Herrmann, C 2014, 'Extending Energy Value Stream Models by the TBS Dimension – Applied on a Multi Product Process Chain in the Railway Industry', Procedia CIRP, vol. 15, pp. 80-85.
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Pourghasemi, HR, Moradi, HR, Fatemi Aghda, SM, Gokceoglu, C & Pradhan, B 2014, 'GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran)', Arabian Journal of Geosciences, vol. 7, no. 5, pp. 1857-1878.
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Pourghasemi, HR, Moradi, HR, Fatemi Aghda, SM, Sezer, EA, Goli Jirandeh, A & Pradhan, B 2014, 'Assessment of fractal dimension and geometrical characteristics of the landslides identified in North of Tehran, Iran', Environmental Earth Sciences, vol. 71, no. 8, pp. 3617-3626.
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Pradhan, B, Abokharima, MH, Jebur, MN & Tehrany, MS 2014, 'Land subsidence susceptibility mapping at Kinta Valley (Malaysia) using the evidential belief function model in GIS', Natural Hazards, vol. 73, no. 2, pp. 1019-1042.
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Pradhan, B, Hagemann, U, Shafapour Tehrany, M & Prechtel, N 2014, 'An easy to use ArcMap based texture analysis program for extraction of flooded areas from TerraSAR-X satellite image', Computers & Geosciences, vol. 63, pp. 34-43.
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Pradhan, M, Vigneswaran, S, Ben Aim, R & Kandasamy, J 2014, 'Modelling of particle deposition in a submerged membrane microfiltration system', DESALINATION, vol. 350, pp. 14-20.
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Purba, JH, Lu, J, Zhang, G & Pedrycz, W 2014, 'A fuzzy reliability assessment of basic events of fault trees through qualitative data processing', FUZZY SETS AND SYSTEMS, vol. 243, no. 16, pp. 50-69.
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Probabilistic approaches are common in the analysis of reliability of complex engineering systems. However, they require quantitative historical failure data for determining reliability characteristics. In many real-world areas, such as e.g., nuclear engineering, quantitative historical failure data are unavailable or become inadequate and only qualitative data such as expert opinions, which are described in linguistic terms, can be collected and then used to assess system reliability. Moreover, experts are more comfortable justifying event failure likelihood using linguistic terms, which capture uncertainties rather than by expressing judgments in a quantitative manner. New techniques are therefore needed that will help construct models of reliability of complex engineering system without being confined to quantitative historical failure data. The objective of this study is to develop a fuzzy reliability algorithm to effectively generate basic event failure probabilities without reliance on quantitative historical failure data through qualitative data processing. The originality of this study comes with an introduction of linguistic values articulated in terms of component failure possibilities in order to qualitatively assess basic event failure possibilities treated as inputs of the proposed model and generate basic event failure probabilities as its outputs. To demonstrate the feasibility and effectiveness of the proposed algorithm, actual basic event failure probabilities collected from nuclear power plant operating experiences are compared with the failure probabilities generated by the algorithm. The results demonstrate that the proposed fuzzy reliability algorithm arises as a suitable alternative for the probabilistic reliability approach when quantitative historical failure data are unavailable.
PURBA, JH, LU, JIE & ZHANG, G 2014, 'AN INTELLIGENT SYSTEM BY FUZZY RELIABILITY ALGORITHM IN FAULT TREE ANALYSIS FOR NUCLEAR POWER PLANT PROBABILISTIC SAFETY ASSESSMENT', International Journal of Computational Intelligence and Applications, vol. 13, no. 03, pp. 1450017-1450017.
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Fault tree analysis for nuclear power plant probabilistic safety assessment is an intricate process. Personal computer-based software systems have therefore been developed to conduct this analysis. However, all existing fault tree analysis software systems only accept quantitative data to characterized basic event reliabilities. In real-world applications, basic event reliabilities may not be represented by quantitative data but by qualitative justifications. The motivation of this work is to develop an intelligent system by fuzzy reliability algorithm in fault tree analysis, which can accept not only quantitative data but also qualitative information to characterized reliabilities of basic events. In this paper, a newly-developed system called InFaTAS-NuSA is presented and its main features and capabilities are discussed. To benchmark the applicability of the intelligent concept implemented in InFaTAS-NuSA, a case study is performed and the analysis results are compared to the results obtained from a well-known fault tree analysis software package. The results confirm that the intelligent concept implemented in InFaTAS-NuSA can be very useful to complement conventional fault tree analysis software systems.
Qiao, M, Cheng, J, Bian, W & Tao, D 2014, 'Biview Learning for Human Posture Segmentation from 3D Points Cloud', PLoS ONE, vol. 9, no. 1, pp. e85811-e85811.
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Posture segmentation plays an essential role in human motion analysis. The state-of-the-art method extracts sufficiently high-dimensional features from 3D depth images for each 3D point and learns an efficient body part classifier. However, high-dimensional features are memory-consuming and difficult to handle on large-scale training dataset. In this paper, we propose an efficient two-stage dimension reduction scheme, termed biview learning, to encode two independent views which are depth-difference features (DDF) and relative position features (RPF). Biview learning explores the complementary property of DDF and RPF, and uses two stages to learn a compact yet comprehensive low-dimensional feature space for posture segmentation. In the first stage, discriminative locality alignment (DLA) is applied to the high-dimensional DDF to learn a discriminative low-dimensional representation. In the second stage, canonical correlation analysis (CCA) is used to explore the complementary property of RPF and the dimensionality reduced DDF. Finally, we train a support vector machine (SVM) over the output of CCA. We carefully validate the effectiveness of DLA and CCA utilized in the two-stage scheme on our 3D human points cloud dataset. Experimental results show that the proposed biview learning scheme significantly outperforms the state-of-the-art method for human posture segmentation.
Qiao, Y, Sun, X & Yu, N 2014, 'Characterization of multipartite entanglement in terms of local transformations', IEEE Journal on Selected Areas in Communications 38 (3), 568-574 2020, pp. 1-6.
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The degree of the generators of invariant polynomial rings of is a longstanding open problem since the very initial study of the invariant theory inthe 19th century. Motivated by its significant role in characterizingmultipartite entanglement, we study the invariant polynomial rings of localunitary group---the tensor product of unitary group, and local general lineargroup---the tensor product of general linear group. For these two groups, weprove polynomial upper bounds on the degree of the generators of invariantpolynomial rings. On the other hand, systematic methods are provided to toconstruct all homogenous polynomials that are invariant under these two groupsfor any fixed degree. Thus, our results can be regarded as a completecharacterization of the invariant polynomial rings. As an interestingapplication, we show that multipartite entanglement is additive in the sensethat two multipartite states are local unitary equivalent if and only if$r$-copies of them are LU equivalent for some $r$.
Qimei Cui, Yulong Shi, Xiaofeng Tao, Ping Zhang, Ren Liu, Ningyu Chen, Hamalainen, J & Dowhuszko, A 2014, 'A unified protocol stack solution for LTE and WLAN in future mobile converged networks', IEEE Wireless Communications, vol. 21, no. 6, pp. 24-33.
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© 2002-2012 IEEE. The interworking of the LTE system and WLAN technologies has drawn much attention lately, due to the growing demands for various multimedia services and large data traffic in hotspot areas. Existing research studies have mostly investigated the coupling architectures for these two wireless communication standards at the network layer. However, in the current architectures, many important coordination functions and joint optimizations cannot be accomplished efficiently. To tackle this problem, a new CBS solution is proposed, which integrates different RATs at layer 2 in the true sense of convergence. We design a unified protocol stack that includes all the original functions of both LTE and WLAN systems. Then we propose a convergence architecture, the RMC sublayer, for joint management of these two RATs. The proposed CBS solution can support seamless offloading through soft handover, guaranteed QoS, forwarding management by a single IP address, and customized bandwidth aggregation service. Finally, our simulation and initial experiment results demonstrate the feasibility and efficiency of the CBS solution in future mobile converged networks.
Qin, S, Liu, F, Wang, J & Sun, B 2014, 'Analysis and forecasting of the particulate matter (PM) concentration levels over four major cities of China using hybrid models', Atmospheric Environment, vol. 98, pp. 665-675.
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Qu, S, Xia, X & Zhang, J 2014, 'Dynamical Behaviors of an Euler Discretized Sliding Mode Control Systems', IEEE Transactions on Automatic Control, vol. 59, no. 9, pp. 2525-2529.
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Qu, S, Xia, X & Zhang, J 2014, 'Dynamics of Discrete-Time Sliding-Mode-Control Uncertain Systems With a Disturbance Compensator', IEEE Transactions on Industrial Electronics, vol. 61, no. 7, pp. 3502-3510.
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Quang, NK, Hieu, NT & Ha, QP 2014, 'FPGA-Based Sensorless PMSM Speed Control Using Reduced-Order Extended Kalman Filters', IEEE Transactions on Industrial Electronics, vol. 61, no. 12, pp. 6574-6582.
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© 2014 IEEE. This paper presents the design and implementation of a field-programmable gate array (FPGA)-based architecture for the speed control of sensorless permanent-magnet synchronous motor (PMSM) drives. For the reduction of computation resources, as well as accuracy improvement in the rotor position estimation, a parallel reduced-order extended Kalman filter (EKF) is proposed in this work. Compared with an EKF, the system order is reduced and the iteration process is greatly simplified, resulting in significant savings of resource utility, while maintaining high estimation performance. The whole control system includes a current-control-and-coordinate-transformation unit, a proportional-integral (PI) speed controller, and other accessory modules, all implemented in a single FPGA chip. A hardware description language is adopted to describe advantageous features of the proposed control system. Moreover, the finite-state-machine method is applied with the purpose to reduce logic elements used in the FPGA chip. The validity of the approach is verified through simulation based on the Modelsim/Simulink cosimulation method. Finally, experimental results are obtained on an FPGA platform with an inverter-fed PMSM to show the feasibility and effectiveness of the proposed system-on-programmable-chip for PMSM drives.
Rabiul Islam, M, Guo, Y, Wei Lin, Z & Zhu, J 2014, 'An amorphous alloy core medium frequency magnetic-link for medium voltage photovoltaic inverters', Journal of Applied Physics, vol. 115, no. 17, pp. 17E710-17E710.
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The advanced magnetic materials with high saturation flux density and low specific core loss have led to the development of an efficient, compact, and lightweight multiple-input multiple-output medium frequency magnetic-link. It offers a new route to eliminate some critical limitations of recently proposed medium voltage photovoltaic inverters. In this paper, a medium frequency magnetic-link is developed with Metglas amorphous alloy 2605S3A. The common magnetic-link generates isolated and balanced multiple DC supplies for all of the H-bridge inverter cells of the medium voltage inverter. The design and implementation of the prototype, test platform, and the experimental test results are analyzed and discussed. The medium frequency non-sinusoidal excitation electromagnetic characteristics of alloy 2605S3A are also compared with that of alloy 2605SA1. It is expected that the proposed new technology will have great potential for future renewable power generation systems and smart grid applications.
Rahman, MM, Hassan, MH, Kalam, MA, Atabani, AE, Memon, LA & Rahman, SMA 2014, 'Performance and emission analysis of Jatropha curcas and Moringa oleifera methyl ester fuel blends in a multi-cylinder diesel engine', Journal of Cleaner Production, vol. 65, pp. 304-310.
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Rahman, MS, Mahmud, MA, Pota, HR & Hossain, MJ 2014, 'Distributed multi-agent scheme for reactive power management with renewable energy', Energy Conversion and Management, vol. 88, pp. 573-581.
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Rahman, SMA, Masjuki, HH, Kalam, MA, Abedin, MJ, Sanjid, A & Imtenan, S 2014, 'Effect of idling on fuel consumption and emissions of a diesel engine fueled by Jatropha biodiesel blends', Journal of Cleaner Production, vol. 69, pp. 208-215.
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Rahman, SMA, Masjuki, HH, Kalam, MA, Abedin, MJ, Sanjid, A & Rahman, MM 2014, 'Assessing idling effects on a compression ignition engine fueled with Jatropha and Palm biodiesel blends', Renewable Energy, vol. 68, pp. 644-650.
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Rahman, SMA, Masjuki, HH, Kalam, MA, Varman, M, Sanjid, A & Abedin, MJ 2014, 'Assessing Effect of Idling on Compression Ignition Engine Operated with Palm, Jatropha and Calophyllum Biodiesel Blends', Journal of the Institute of Industrial Applications Engineers, vol. 2, no. 3, pp. 122-126.
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Ramezani, F & Lu, J 2014, 'An intelligent group decision-support system and its application for project performance evaluation', Journal of Enterprise Information Management, vol. 27, no. 3, pp. 278-291.
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Purpose In any organization there are main goals, with lots of projects designed to achieve these goals. It is important for any organization to determine how much these projects affect the achievement of these goals. The purpose of this paper is to develop a fuzzy multiple attribute-based group decision-support system (FMAGDSS) to evaluate projects performance in promoting the organization's goals utilizing simple additive weighting (SAW) algorithm and technique for order of preference by similarity to ideal solution (TOPSIS) algorithm. The proposed FMAGDSS deals with choosing the most appropriate fuzzy ranking algorithm for solving a given fuzzy multi attribute decision making (FMADM) problem with both qualitative and quantitative criteria (attributes), and uncertain judgments of decision makers. Design/methodology/approach In this paper, a FMAGDSS model is designed to determine scores and ranks of every project in promoting the organization's goals. In the first step of FMAGDSS model, all projects are assessed by experts based on evaluation criteria and the organization's goals. The proposed FMAGDSS model will then choose the most appropriate fuzzy ranking method to solve the given FMADM problem. Finally, a sensitivity analysis system is developed to assess the reliability of the decision-making process and provide an opportunity to analyze the impacts of criteria weights and projects performance on evaluating projects in achieving the organizations goals, and to assess the reliability of the decision-making process. In addition, a software prototype has been developed on the basis of FMAGDSS model that can be applied to solve every FMADM problem that needs to rank alternatives according to certain attributes. Findings The result of this study simplifies and accelerates the evaluation process. The proposed system not only helps organizations to choose the most efficient projects for sustainable development, but also helps them to assess the reliability of...
Ramezani, F, Lu, J & Hussain, FK 2014, 'Task-Based System Load Balancing in Cloud Computing Using Particle Swarm Optimization', INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING, vol. 42, no. 5, pp. 739-754.
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Live virtual machine (VM) migration is a technique for achieving system load balancing in a cloud environment by transferring an active VM from one physical host to another. This technique has been proposed to reduce the downtime for migrating overloaded VMs, but it is still time- and cost-consuming, and a large amount of memory is involved in the migration process. To overcome these drawbacks, we propose a Task-based System Load Balancing method using Particle Swarm Optimization (TBSLB-PSO) that achieves system load balancing by only transferring extra tasks from an overloaded VM instead of migrating the entire overloaded VM. We also design an optimization model to migrate these extra tasks to the new host VMs by applying Particle Swarm Optimization (PSO). To evaluate the proposed method, we extend the cloud simulator (Cloudsim) package and use PSO as its task scheduling model. The simulation results show that the proposed TBSLB-PSO method significantly reduces the time taken for the load balancing process compared to traditional load balancing approaches. Furthermore, in our proposed approach the overloaded VMs will not be paused during the migration process, and there is no need to use the VM pre-copy process. Therefore, the TBSLB-PSO method will eliminate VM downtime and the risk of losing the last activity performed by a customer, and will increase the Quality of Service (QoS) experienced by cloud customers.
Rapson, MJ, Hamilton, TJ & Tapson, JC 2014, 'On the fluid-structure interaction in the cochlea', The Journal of the Acoustical Society of America, vol. 136, no. 1, pp. 284-300.
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The cochlea is known to be a nonlinear system that shows strong fluid-structure coupling. In this work, the monolithic state space approach to cochlear modeling [Rapson et al., J. Acoust. Soc. Am. 131, 3925–3952 (2012)] is used to study the inherent nature of this coupling. Mathematical derivations requiring minimal, widely accepted assumptions about cochlear anatomy provide a clear description of the coupling. In particular, the coupling forces between neighboring cochlear partition segments are demonstrated, with implications for theories of cochlear operation that discount the traveling wave hypothesis. The derivations also reaffirm the importance of selecting a physiologically accurate value for the partition mass in any simulation. Numerical results show that considering the fluid properties in isolation can give a misleading impression of the fluid-structure coupling. Linearization of a nonlinear partition model allows the relationship between the linear and nonlinear fluid-structure interaction to be described. Furthermore, the effect of different classes of nonlinearities on the numerical complexity of a cochlear model is assessed. Cochlear models that assume outer hair cells are able to detect pressure will require implicit solver strategies, should the pressure sensitivity be demonstrated. Classical cochlear models in general do not require implicit solver strategies.
Rashedul, HK, Kalam, MA, Masjuki, HH, Ashraful, AM, Imtenan, S, Sajjad, H & Wee, LK 2014, 'Numerical study on convective heat transfer of a spark ignition engine fueled with bioethanol', International Communications in Heat and Mass Transfer, vol. 58, pp. 33-39.
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Rashedul, HK, Masjuki, HH, Kalam, MA, Ashraful, AM, Ashrafur Rahman, SM & Shahir, SA 2014, 'The effect of additives on properties, performance and emission of biodiesel fuelled compression ignition engine', Energy Conversion and Management, vol. 88, pp. 348-364.
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Rashid, U, Tuan, HD, Kha, HH & Nguyen, HH 2014, 'Joint Optimization of Source Precoding and Relay Beamforming in Wireless MIMO Relay Networks', IEEE Transactions on Communications, vol. 62, no. 2, pp. 488-499.
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Regmi, AD, Devkota, KC, Yoshida, K, Pradhan, B, Pourghasemi, HR, Kumamoto, T & Akgun, A 2014, 'Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya', Arabian Journal of Geosciences, vol. 7, no. 2, pp. 725-742.
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Regmi, AD, Yoshida, K, Dhital, MR & Pradhan, B 2014, 'Weathering and mineralogical variation in gneissic rocks and their effect in Sangrumba Landslide, East Nepal', Environmental Earth Sciences, vol. 71, no. 6, pp. 2711-2727.
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Regmi, AD, Yoshida, K, Nagata, H & Pradhan, B 2014, 'Rock toppling assessment at Mugling–Narayanghat road section: ‘A case study from Mauri Khola landslide’, Nepal', CATENA, vol. 114, pp. 67-77.
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Regmi, AD, Yoshida, K, Pourghasemi, HR, DhitaL, MR & Pradhan, B 2014, 'Landslide susceptibility mapping along Bhalubang — Shiwapur area of mid-Western Nepal using frequency ratio and conditional probability models', Journal of Mountain Science, vol. 11, no. 5, pp. 1266-1285.
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Rehman, ZU, Hussain, OK & Hussain, FK 2014, 'Parallel Cloud Service Selection and Ranking Based on QoS History', INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING, vol. 42, no. 5, pp. 820-852.
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Remennikov, AM, Mutton, V, Nimbalkar, S & Ren, T 2014, 'Experimental and numerical investigation of high-yield grout ore pass plugs to resist impact loads', INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, vol. 70, pp. 1-15.
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In the last fifteen years, Tekseal high yield foaming grout ore pass plugs that could later be easily removed, have been poured above chute maintenance areas providing protection from high energy rock impact and isolating workers from the hazard. Construction and removal methods will be briefly explained. Since it is not economically feasible to investigate the problem of ore pass plug impact response using full-scale experimental studies, this paper presents a combined four-stage approach that includes (1) laboratory testing to investigate the mechanical behaviour of the high-yield foaming grout; (2) high-precision impact testing of reduced-scale models of ore pass plugs; (3) high-fidelity physics-based numerical model calibration using experimental data; and (4) full-scale modelling of mine ore pass plugs using calibrated material models. To calibrate numerical models, three one-metre diameter steel pipes filled with Tekseal high yield foaming grout were tested with falling steel projectiles of different shapes. Impact tests provided data on the depth of penetration and size of the craters formed by the projectiles. Numerical models were calibrated by optimising the material parameters and modelling techniques to provide the best match with the experimental results. Full-scale numerical models of ore pass plugs were developed for typical ore pass dimensions and subjected to impact events by falling rock projectiles. The proposed approach has allowed investigating energy absorbing characteristics of ore pass plugs to further predict and increase understanding of their capacity to withstand high-speed impacts by large falling projectiles. © 2014 Elsevier Ltd.
Ren, J, Ellis, J & Li, J 2014, 'Influenza A HA's conserved epitopes and broadly neutralizing antibodies: A prediction method', JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, vol. 12, no. 5.
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Ren, J, Liu, Q, Ellis, J & Li, J 2014, 'Tertiary structure-based prediction of conformational B-cell epitopes through B factors', BIOINFORMATICS, vol. 30, no. 12, pp. 264-273.
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Motivation: B-cell epitope is a small area on the surface of an antigen that binds to an antibody. Accurately locating epitopes is of critical importance for vaccine development. Compared with wet-lab methods, computational methods have strong potential for efficient and large-scale epitope prediction for antigen candidates at much lower cost. However, it is still not clear which features are good determinants for accurate epitope prediction, leading to the unsatisfactory performance of existing prediction methods.
Method and results: We propose a much more accurate B-cell epitope prediction method. Our method uses a new feature B factor (obtained from X-ray crystallography), combined with other basic physicochemical, statistical, evolutionary and structural features of each residue. These basic features are extended by a sequence window and a structure window. All these features are then learned by a two-stage random forest model to identify clusters of antigenic residues and to remove isolated outliers. Tested on a dataset of 55 epitopes from 45 tertiary structures, we prove that our method significantly outperforms all three existing structure-based epitope predictors. Following comprehensive analysis, it is found that features such as B factor, relative accessible surface area and protrusion index play an important role in characterizing B-cell epitopes. Our detailed case studies on an HIV antigen and an influenza antigen confirm that our second stage learning is effective for clustering true antigenic residues and for eliminating self-made prediction errors introduced by the first-stage learning.
Ren, Z, Gao, S, Chia, L-T & Tsang, IW-H 2014, 'Region-Based Saliency Detection and Its Application in Object Recognition', IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 5, pp. 769-779.
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The objective of this paper is twofold. First, we introduce an effective region-based solution for saliency detection. Then, we apply the achieved saliency map to better encode the image features for solving object recognition task. To find the perceptually and semantically meaningful salient regions, we extract superpixels based on an adaptive mean shift algorithm as the basic elements for saliency detection. The saliency of each superpixel is measured by using its spatial compactness, which is calculated according to the results of Gaussian mixture model (GMM) clustering. To propagate saliency between similar clusters, we adopt a modified PageRank algorithm to refine the saliency map. Our method not only improves saliency detection through large salient region detection and noise tolerance in messy background, but also generates saliency maps with a well-defined object shape. Experimental results demonstrate the effectiveness of our method. Since the objects usually correspond to salient regions, and these regions usually play more important roles for object recognition than background, we apply our achieved saliency map for object recognition by incorporating a saliency map into sparse coding-based spatial pyramid matching (ScSPM) image representation. To learn a more discriminative codebook and better encode the features corresponding to the patches of the objects, we propose a weighted sparse coding for feature coding. Moreover, we also propose a saliency weighted max pooling to further emphasize the importance of those salient regions in feature pooling module. Experimental results on several datasets illustrate that our weighted ScSPM framework greatly outperforms ScSPM framework, and achieves excellent performance for object recognition. © 2013 IEEE.
Rezazadeh, J, Moradi, M, Ismail, AS & Dutkiewicz, E 2014, 'Superior Path Planning Mechanism for Mobile Beacon-Assisted Localization in Wireless Sensor Networks', IEEE Sensors Journal, vol. 14, no. 9, pp. 3052-3064.
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In many wireless sensor network applications, such as warning systems or healthcare services, it is necessary to update the captured data with location information. A promising solution for statically deployed sensors is to benefit from mobile beacon-assisted localization. The main challenge is to design and develop an optimum path planning mechanism for a mobile beacon to decrease the required time for determining location, increase the accuracy of the estimated position, and increase the coverage. In this paper, we propose a novel superior path planning mechanism called Z-curve. Our proposed trajectory can successfully localize all deployed sensors with high precision and the shortest required time for localization. We also introduce critical metrics, including the ineffective position rate for further evaluation of mobile beacon trajectories. In addition, we consider an accurate and reliable channel model, which helps to provide more realistic evaluation. Z-curve is compared with five existing path planning schemes based on three different localization techniques such as weighted centroid localization and trilateration with time priority and accuracy priority. Furthermore, the performance of the Z-curve is evaluated at the presence of obstacles and Z-curve obstacle-handling trajectory is proposed to mitigate the obstacle problem on localization. Simulation results show the advantages of our proposed path planning scheme over the existing schemes. © 2001-2012 IEEE.
Rizwanul Fattah, IM, Hassan, MH, Kalam, MA, Atabani, AE & Abedin, MJ 2014, 'Synthetic phenolic antioxidants to biodiesel: path toward NOx reduction of an unmodified indirect injection diesel engine', Journal of Cleaner Production, vol. 79, pp. 82-90.
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Rizwanul Fattah, IM, Kalam, MA, Masjuki, HH & Wakil, MA 2014, 'Biodiesel production, characterization, engine performance, and emission characteristics of Malaysian Alexandrian laurel oil', RSC Adv., vol. 4, no. 34, pp. 17787-17796.
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This article studies the production and characterization of Malaysian Alexandrian laurel oil and the effect of common blends on engine performance and emissions.
Rizwanul Fattah, IM, Masjuki, HH, Kalam, MA & Masum, BM 2014, 'Effect of synthetic antioxidants on storage stability of Calophyllum inophyllum biodiesel', Materials Research Innovations, vol. 18, no. sup6, pp. 90-94.
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Rizwanul Fattah, IM, Masjuki, HH, Kalam, MA, Hazrat, MA, Masum, BM, Imtenan, S & Ashraful, AM 2014, 'Effect of antioxidants on oxidation stability of biodiesel derived from vegetable and animal based feedstocks', Renewable and Sustainable Energy Reviews, vol. 30, pp. 356-370.
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Rizwanul Fattah, IM, Masjuki, HH, Kalam, MA, Mofijur, M & Abedin, MJ 2014, 'Effect of antioxidant on the performance and emission characteristics of a diesel engine fueled with palm biodiesel blends', Energy Conversion and Management, vol. 79, pp. 265-272.
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Rizwanul Fattah, IM, Masjuki, HH, Kalam, MA, Wakil, MA, Ashraful, AM & Shahir, SA 2014, 'Experimental investigation of performance and regulated emissions of a diesel engine with Calophyllum inophyllum biodiesel blends accompanied by oxidation inhibitors', Energy Conversion and Management, vol. 83, pp. 232-240.
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Rizwanul Fattah, IM, Masjuki, HH, Kalam, MA, Wakil, MA, Rashedul, HK & Abedin, MJ 2014, 'Performance and emission characteristics of a CI engine fueled with Cocos nucifera and Jatropha curcas B20 blends accompanying antioxidants', Industrial Crops and Products, vol. 57, pp. 132-140.
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Roohani-Esfahani, S-I, Wong, KY, Lu, Z, Juan Chen, Y, Li, JJ, Gronthos, S, Menicanin, D, Shi, J, Dunstan, C & Zreiqat, H 2014, 'Fabrication of a novel triphasic and bioactive ceramic and evaluation of its in vitro and in vivo cytocompatibility and osteogenesis', Journal of Materials Chemistry B, vol. 2, no. 13, pp. 1866-1866.
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We report, for the first time, the synthesis of a novel triphasic and crystalline bioactive ceramic (MSM-10) with the ability to simultaneously release three types of bioactive ions (strontium (Sr), silicon (Si) and magnesium (Mg)) to the surrounding microenvironment. An MSM-10 powder with a nominal composition (wt%) of 54 Mg2SiO4, 36 Si3Sr5 and 10 MgO was prepared by the sol-gel method and fabricated as porous scaffolds using the foam replication method. The effects of the different amounts of the phases in the ceramics on the mechanical and physical properties of the scaffolds as well as their in vitro and in vivo behaviors were comprehensively investigated. Biphasic calcium phosphate (BCP, β-tricalcium phosphate (60 wt%)/hydroxyapatite (40 wt%)) scaffolds were used as the control material. The attachment, morphology, proliferation and differentiation of primary human osteoblasts (HOBs) were investigated after cell culturing on the various scaffolds. In vitro cytotoxicity (ISO/EN 10993-5) results not only indicated the biocompatibility of MSM-10, but also its positive effects on inducing the proliferation of HOBs. Our results showed significant enhancement in osteogenic gene expression levels (Runx2, osteocalcin, osteopontin and bone sialoprotein), when HOBs were cultured on MSM-10, compared to those for BCP and other generated ceramic scaffolds. For the in vivo studies, the different types of the materials were seeded with cultured human mesenchymal stem cells (hMSC) and then subcutaneously transplanted into the dorsal surface of eight-week-old immunocompromised (NOD/SCID) mice. MSM-10 demonstrated a significant amount of new bone formation compared to the other groups tested with no macroscopic signs of inflammation or toxicity in the tissue surrounding the implants. The novel MSM-10 ceramic presents promising potential for bone regeneration in orthopaedic and maxillofacial applications.
Roy, NK, Pota, HR & Hossain, MJ 2014, 'A cost-effective approach for fast voltage recovery of power distribution networks with renewable energy', International Journal of Sustainable Energy, vol. 33, no. 3, pp. 587-605.
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This paper presents a cost-effective reactive power planning for active distribution networks based on a new index called reactive power loadability (Q-loadability). The impact of high renewable energy penetration on the static voltage stability of the system is analysed. The effect of load models in distributed generation planning is also demonstrated through nonlinear simulations. In order to ensure fast voltage recovery after a sudden disturbance, compensating devices are located using Q-loadability to increase the system voltage stability limit. Both static and dynamic analyses are carried out to determine the size of distribution static synchronous compensator (D-STATCOM). The parameters of the controller are also tuned to reduce the rating of D-STATCOM. Simulation results show that the proposed approach can reduce the sizes of compensating devices required which, in turn, reduces costs. The effectiveness of the proposed algorithm is verified through several case studies. © 2013 Taylor & Francis.
Roy, NK, Pota, HR, Mahmud, MA & Hossain, MJ 2014, 'Voltage control of emerging distribution systems with induction motor loads using robust LQG approach', International Transactions on Electrical Energy Systems, vol. 24, no. 7, pp. 927-943.
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Ruscalleda, M, Seredynska-Sobecka, B, Ni, B-J, Arvin, E, Balaguer, MD, Colprim, J & Smets, BF 2014, 'Spectrometric characterization of the effluent dissolved organic matter from an anammox reactor shows correlation between the EEM signature and anammox growth', Chemosphere, vol. 117, no. 1, pp. 271-277.
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Anaerobic ammonium oxidation (anammox) is a cost-effective process to treat high-strength nitrogenous wastewater. Even without organic carbon input, the effluent contains bioproducts from autotrophic and heterotrophic bacteria. In this work, excitation-emission matrix (EEM) fluorescence spectroscopy was used to characterize the effluent dissolved organic matter (EfOM) from an anammox reactor treating synthetic wastewater. Two dominant EEM components were identified as humic acid-like (component 1) and protein-like (component 2) substances with excitation/emission peaks at <240, 355, 420/464 nm and <240, 280, 330/346 nm, respectively. The presence of both compounds in the effluent was tracked during an activity recovery period (nitrogen load increased from 0.2 to 1.3 kg Nm(-3)d(-1)). The effluent concentration of both components increased during this period, indicating correlation between production and bacterial activity. The dynamics of these bioproducts during both substrate consumption and starvation phases was analyzed in batch experiments. Component 1 was only formed during substrate consumption in a rate proportional to ammonium removal and was considered an up-take associated product characteristic of anammox activity. The results show that the composition of the EfOM was qualitatively and quantitatively influenced by process performance. Monitoring the EfOM could, therefore, offer a useful approach to assess anammox process performance and must be further explored.
Ryan, PC, Stewart, MG, Spencer, N & Li, Y 2014, 'Reliability assessment of power pole infrastructure incorporating deterioration and network maintenance', Reliability Engineering & System Safety, vol. 132, pp. 261-273.
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There is considerable investment in timber utility poles worldwide, and there is a need to examine the structural reliability and probability based management optimisation of these power distribution infrastructure elements. The work presented in this paper builds on the existing studies in this area through assessment of both treated and untreated timber power poles, with the effects of deterioration and network maintenance incorporated in the analysis. This more realistic assessment approach, with deterioration and maintenance considered, was achieved using event-based Monte Carlo simulation. The output from the probabilistic model is used to illustrate the importance of considering network maintenance in the time-dependent structural reliability assessment of timber power poles. Under wind load, treated and untreated poles designed and maintained in accordance with existing Australian standards were found to have similar failure rates. However, untreated pole networks required approximately twice as many maintenance based pole replacements to sustain the same level of reliability. The effect of four different network maintenance strategies on infrastructure performance was also investigated herein. This assessment highlighted the fact that slight alterations to network maintenance practices can lead to significant changes in performance of timber power pole networks.
Sabbagh, AAL, Braun, R & Abolhasan, M 2014, 'Intelligent Hybrid Cheapest Cost and Mobility Optimization RAT Selection Approaches for Heterogeneous Wireless Networks', Journal of Networks, vol. 9, no. 2, pp. 297-305.
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The evolution of wireless networks has led to the deployment of different Radio Access Technologies (RATs) such as UMTS Terrestrial Radio Access Network (UTRAN), Long Term Evolution (LTE), Wireless Local Area Network (WLAN) and Mobile Worldwide Interoperability for Microwave Access (WiMAX) which are integrated through a common platform. Common Radio Resource Management (CRRM) was proposed to manage radio resource utilization in heterogeneous wireless networks and to provide the required Quality of Service (QoS) for allocated calls. RAT selection algorithms are an integral part of the CRRM algorithms. Their role is to decide, when a new or Vertical Handover (VHO) call is requested, which of the available RATs is most suitable to fit the need of the incoming call and when to admit them. This paper extends our earlier work on the proposed intelligent mobility optimization and proposes an intelligent hybrid cheapest cost RAT selection approach which aims to increase users' satisfaction by allocation users that are looking for cheapest cost connections to a RAT that offers the cheapest cost of service. A comparison for the performance of centralized load-balancing, proposed and distributed cheapest cost and mobility optimization algorithms is presented. Simulation results show that the proposed intelligent algorithms perform better than the centralized load-balancing and the distributed algorithms. © 2014 Academy Publisher.
Sabbagh, AAL, Braun, R & Abolhasan, M 2014, 'Performance Analysis of the Intelligent Mobility Optimization CRRM Approach Using a Markovian Chain Model', Journal of Networks, vol. 9, no. 3, pp. 635-644.
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Due to the increasing demand of wireless services, mobile technology has rapidly progressed towards the fourth generation (4G) networking paradigm. This generation will be heterogeneous in nature and it can be achieved through the integration of different Radio Access Technologies (RATs) over a common platform. Common Radio Resource Management (CRRM) was proposed to manage radio resource utilization in heterogeneous wireless networks and to provide required Quality of Service (QoS) for allocated calls. RAT selection algorithms are an integral part of the CRRM algorithms. Their role is to decide, when a new or Vertical Handover (VHO) call is requested, which of the available RATs is most suitable to fit the need of the incoming call and when to admit them. This paper extends our earlier work on the proposed intelligent hybrid mobility optimization RAT selection approach which allocates users in high mobility to the most suitable RAT and proposes an analytical presentation of the proposed approach in a multidimensional Markov chain model. A comparison for the performance of centralized load-balancing, distributed and the proposed intelligent mobility optimization algorithms is presented in terms of new calls blocking probability, VHO calls dropping probability, users' satisfactions probability, average networks load and average system throughput. Simulation and analytical results show that the proposed algorithm performs better than the centralized loadbalancing and distributed algorithms. © 2014 ACADEMY PUBLISHER.
Saberi, M, Eslami, N, Hussain, OK & Ashjari, B 2014, 'Towards fuzzy decision making approach for optimal pipeline routing', Engineering Intelligent Systems, vol. 22, no. 1, pp. 15-20.
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The establishment of policies regarding energy efficiency has been a very significant issue recently. Such energy policies should consider pipeline routing modeling since it includes several advantages. Pipelines are the most efficient, cost effective economical and environmentally friendly means of fluid transportation. When selecting the route of a cross-country pipeline, the goal is to provide the best utility for the public while minimizing the negative impacts on the population and the natural environment. Hence, the manual routing processes are very tedious. The presented model consists of forty factors, each of which is weighted according to its impact. The relationship between factors underlying traditional decisions in a calculative math model is presented for the first time. The current model is able to accelerate the process of routing by allowing those companies that do not have capability, to apply the geographic information systems. National Iranian Gas Engineering ranked the optional routes
Saeidi, V, Pradhan, B, Idrees, MO & Abd Latif, Z 2014, 'Fusion of Airborne LiDAR With Multispectral SPOT 5 Image for Enhancement of Feature Extraction Using Dempster–Shafer Theory', IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 10, pp. 6017-6025.
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Safaei, F, Pourashraf, P & Franklin, DR 2014, 'Large-scale immersive video conferencing by altering video quality and distribution based on the virtual context.', IEEE Commun. Mag., vol. 52, no. 8, pp. 66-72.
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Current video conferencing applications do not scale to support a large number of participants. This article describes an IVC system that combines the best attributes of video conferencing and multi-user virtual environments. It is shown that each participant of IVC has a virtual context that is defined by his/her perspective and perception about the quality and relevance of video and audio of others. The virtual context determines both the visibility status and the required quality of videos of participants. This information can be used to dynamically alter the multicast trees that are formed among clients for the purpose of multimedia dissemination so that only the relevant videos are transmitted to end users. In addition, it is possible to reduce the video quality of a given user in response to the virtual context without the degradation having any perceptual impact. The combination of these factors reduces the required upload and download bandwidth of clients by more than 90 percent on average, making IVC highly scalable to support very large gatherings.
Saha, SC & Gu, YT 2014, 'Transient air flow and heat transfer in a triangular enclosure with a conducting partition', Applied Mathematical Modelling, vol. 38, no. 15-16, pp. 3879-3887.
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Saha, SC, Khan, MMK & Gu, YT 2014, 'Unsteady buoyancy driven flows and heat transfer through coupled thermal boundary layers in a partitioned triangular enclosure', International Journal of Heat and Mass Transfer, vol. 68, pp. 375-382.
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Saha, SC, Lei, C & Patterson, JC 2014, 'Effect of aspect ratio on natural convection in attics subject to periodic thermal forcing', ANZIAM Journal, vol. 49, pp. 677-677.
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© 2007 Austral. Mathematical Soc. We consider the heat transfer through the attics of buildings under realistic (periodic) thermal forcing. The objective of this study is to investigate numerically the effect of the aspect ratio (height to base ratio) on the heat transfer through the attics. A fixed Grashof number 1:33×106 is considered for three different aspect ratios 0.2, 0.5 and 1.0. The Prandtl number is also fixed at 0.71 for air. The details of the numerical model as well as the ow structures and heat transfer data are presented.
Saha, SC, Sauret, E & Gu, YT 2014, 'Magnetic Convection Heat Transfer in an Open Ended Enclosure Filled with Paramagnetic Fluids', Applied Mechanics and Materials, vol. 553, pp. 109-114.
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Numerical simulations of thermomagnetic convection of paramagnetic fluids placed in a micro-gravity condition (g ≈ 0) and under a uniform vertical gradient magnetic field in an open ended square enclosure with ramp heating temperature condition applied on a vertical wall is investigated in this study. In presence of the strong magnetic gradient field thermal convection of the paramagnetic fluid might take place even in a zero-gravity environment as a direct consequence of temperature differences occurring within the fluid. The thermal boundary layer develops adjacent to the hot wall as soon as the ramp temperature condition is applied on it. There are two scenario that can be observed based on the ramp heating time. The steady state of the thermal boundary layer can be reached before the ramp time is finished or vice versa. If the ramp time is larger than the quasi-steady time then the thermal boundary layer is in a quasi-steady mode with convection balancing conduction after the quasi-steady time. Further increase of the heat input simply accelerates the flow to maintain the proper thermal balance. Finally, the boundary layer becomes completely steady state when the ramp time is finished. Effects of magnetic Rayleigh number, Prandtl number and paramagnetic fluid parameter on the flow pattern and heat transfer are presented.
Sahni, V, Miyoshi, T, Chen, K, Jain, D, Blamires, SJ, Blackledge, TA & Dhinojwala, A 2014, 'Direct Solvation of Glycoproteins by Salts in Spider Silk Glues Enhances Adhesion and Helps To Explain the Evolution of Modern Spider Orb Webs', Biomacromolecules, vol. 15, no. 4, pp. 1225-1232.
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Sajjad, H, Masjuki, HH, Varman, M, Kalam, MA, Arbab, MI, Imtenan, S & Rahman, SMA 2014, 'Engine combustion, performance and emission characteristics of gas to liquid (GTL) fuels and its blends with diesel and bio-diesel', Renewable and Sustainable Energy Reviews, vol. 30, pp. 961-986.
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Saleem, M, Hossain, MA & Saha, SC 2014, 'Double Diffusive Marangoni Convection Flow of Electrically Conducting Fluid in a Square Cavity With Chemical Reaction', Journal of Heat Transfer, vol. 136, no. 6.
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Double diffusive Marangoni convection flow of viscous incompressible electrically conducting fluid in a square cavity is studied in this paper by taking into consideration of the effect of applied magnetic field in arbitrary direction and the chemical reaction. The governing equations are solved numerically by using alternate direct implicit (ADI) method together with the successive over relaxation (SOR) technique. The flow pattern with the effect of governing parameters, namely the buoyancy ratio W, diffusocapillary ratio w, and the Hartmann number Ha, is investigated. It is revealed from the numerical simulations that the average Nusselt number decreases; whereas the average Sherwood number increases as the orientation of magnetic field is shifted from horizontal to vertical. Moreover, the effect of buoyancy due to species concentration on the flow is stronger than the one due to thermal buoyancy. The increase in diffusocapillary parameter, w causes the average Nusselt number to decrease, and average Sherwood number to increase.
Saleem, M, Hossain, MA, Saha, SC & Gu, YT 2014, 'Heat Transfer Analysis of Viscous Incompressible Fluid by Combined Natural Convection and Radiation in an Open Cavity', Mathematical Problems in Engineering, vol. 2014, pp. 1-14.
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The effect of radiation on natural convection of Newtonian fluid contained in an open cavity is investigated in this study. The governing partial differential equations are solved numerically using the Alternate Direct Implicit method together with the Successive Overrelaxation method. The study is focused on studying the flow pattern and the convective and radiative heat transfer rates are studied for different values of radiation parameters, namely, the optical thickness of the fluid, scattering albedo, and the Planck number. It was found that, in the optically thin limit, an increase in the optical thickness of the fluid raises the temperature and radiation heat transfer of the fluid. However, a further increase in the optical thickness decreases the radiative heat transfer rate due to increase in the energy level of the fluid, which ultimately reduces the total heat transfer rate within the fluid.
Salleh, SA, Latif, ZA, Pradhan, B, Wan Mohd, WMN & Chan, A 2014, 'Functional relation of land surface albedo with climatological variables: a review on remote sensing techniques and recent research developments', Geocarto International, vol. 29, no. 2, pp. 147-163.
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Samal, PB, Soh, PJ & Vandenbosch, GAE 2014, 'UWB All-Textile Antenna With Full Ground Plane for Off-Body WBAN Communications', IEEE Transactions on Antennas and Propagation, vol. 62, no. 1, pp. 102-108.
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San, PP, Ling, SH, Nuryani & Nguyen, H 2014, 'Evolvable Rough-Block-Based Neural Network and Its Biomedical Application to Hypoglycemia Detection System', IEEE TRANSACTIONS ON CYBERNETICS, vol. 44, no. 8, pp. 1338-1349.
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Sanjid, A, Masjuki, HH, Kalam, MA, Rahman, SMA, Abedin, MJ & Palash, SM 2014, 'Production of palm and jatropha based biodiesel and investigation of palm-jatropha combined blend properties, performance, exhaust emission and noise in an unmodified diesel engine', Journal of Cleaner Production, vol. 65, pp. 295-303.
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Saputra, YM, Hwang, H & Yun, J-H 2014, 'A Comparative Study of Aggregation Schemes for Concurrent Transmission over Multiple WLAN Interfaces', Journal of the Institute of Electronics and Information Engineers, vol. 51, no. 7, pp. 18-25.
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SATO, H, MANABE, K-I, ITO, K, WEI, D & JIANG, Z 2014, 'Development of Servo-Type Micro-Hydromechanical Deep-Drawing Apparatus and Micro Deep-Drawing Experiments of Circular Cups', Journal of the Japan Society for Technology of Plasticity, vol. 55, no. 636, pp. 44-49.
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A micro-hydromechanical deep-drawing (MHDD) apparatus for manufacturing a micro-complex-shape components and increasing of drawn cup accuracy has been developed in this study. This apparatus with a simple forming process mechanism can achieve high dimensional accuracy using servo press mechanics with a double-action type, one-stroke forming process without transferring and positioning, force control, and fine flow rate control of the pressure medium. It is confirmed that the MHDD apparatus developed can prevent wrinkling by applying an appropriate constant gap and stably generate the counterpressure. Micro-drawn cups of 0.8mm diameter are successfully fabricated. Also, the effects of counterpressure on drawability and dimensional accuracy at the bottom of the cup are investigated for phosphor bronze, stainless-steel, and pure titanium foils with a thickness of 50µm. The appropriate counterpressure applied in MHDD results in wrinkling constraint and a reduction in frictional drawing force. Consequently, it is concluded that the forming limit and dimensional accuracy can be improved by MHDD.
Sato, H, Manabe, K-I, Kondo, D, Wei, D & Jiang, Z 2014, 'Formability of Micro Sheet Hydroforming of Ultra-fine Grained Stainless Steel', Procedia Engineering, vol. 81, pp. 1463-1468.
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The formability of ultra-fine grained stainless steel is investigated in micro hydromechanical deep drawing. The materials used are ultra-fine grained stainless steel and SUS304-H with thickness of 20 and 50 μm. The micro cups are successfully fabricated for the ultra-fine grained stainless steel but it cannot be fabricated for SUS304-H with thickness of 20 μm. The fracture type of ultra-fine grained stainless steel foil is the shortage of tensile strength at plain strain state and does not change with a decrease of the thickness. In contrast, the fracture type of SUS304-H foil changes to the bending deformation with decreasing the thickness due to its low ductility. The ultra-fine grained metal foil is required to obtain the high formability and fabricate the sharp micro cups.
Scala, NM, Rajgopal, J & Needy, KL 2014, 'Managing Nuclear Spare Parts Inventories: A Data Driven Methodology', IEEE Transactions on Engineering Management, vol. 61, no. 1, pp. 28-37.
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In this paper, the authors analyse knowledge management (KM) practices in civil aviation industry and introduce a framework for better management of knowledge in aircraft engineering (AE). After comprehensive review of KM literature, this paper offers insights into the existing KM practices in AE using a case study in the Saudi Arabian Aviation industry (SAAI). The KM research data was collected through discussions and interviews as well as through observations during one of the authorâs employment as aircraft engineer in the SAAI. Synthesis of these results with the KM literature was used to identify the gaps between the KM theory and current practices in AE. Finally, an operations-based knowledge management (OBKM) system framework was developed to address these gaps and overcome ineffectiveness in current practices.
Schallow, J, Erohin, O, Ernst, J, Roubanov, D, Deuse, J & Eigner, M 2014, 'Prospektive Ermittlung von Montagearbeitsinhalten', Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 109, no. 11, pp. 843-847.
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Kurzfassung Das Ziel einer prospektiven Ermittlung und einheitlichen Abbildung von Montagearbeitsinhalten in der Digitalen Fabrik wird durch die Entwicklung einer modularen Gesamtsystematik unter durchgängigem Einsatz digitaler Werkzeuge in unterschiedlichen Phasen des Produktentstehungsprozesses realisiert. Die Gesamtsystematik wird hierbei nahtlos in bestehende Softwarelandschaften von der Produktentwicklung über die Prozessplanung bis hin zum Arbeits- und Zeitstudium integriert und stellt die Konsistenz der digitalen Abbildung von Montagearbeitsinhalten sicher.
Schallow, J, Ludevig, J, Schmidt, M, Deuse, J & Marczinski, G 2014, 'Future prospects for digital manufacturing Understanding, realization status and development potential of digital production planning', WT Werkstattstechnik, vol. 104, no. 3, pp. 139-145.
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Within an extensive survey carried out by the Institute of Production Systems (IPS) at TU Dortmund University and CIM Aachen GmbH, a precise evaluation of the realization status and expected trends in digital manufacturing has been won. Main potential for the future, identified by 83 experts from all branches, are transparent and standardized planning workflows, modular and open data standards and an improved utilization of existing digital information.
Schwitter, BK, Parker, AE, Mahon, SJ, Fattorini, AP & Heimlich, MC 2014, 'Impact of Bias and Device Structure on Gate Junction Temperature in AlGaN/GaN-on-Si HEMTs', IEEE Transactions on Electron Devices, vol. 61, no. 5, pp. 1327-1334.
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Semblante, GU, Hai, FI, Ngo, HH, Guo, W, You, S-J, Price, WE & Nghiem, LD 2014, 'Sludge cycling between aerobic, anoxic and anaerobic regimes to reduce sludge production during wastewater treatment: Performance, mechanisms, and implications', BIORESOURCE TECHNOLOGY, vol. 155, pp. 395-409.
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Alternate cycling of sludge in aerobic, anoxic, and anaerobic regimes is a promising strategy that can reduce the sludge yield of conventional activated sludge (CAS) by up to 50% with potentially lower capital and operating cost than physical- and/or chemical-based sludge minimisation techniques. The mechanisms responsible for reducing sludge yield include alterations to cellular metabolism and feeding behaviour (metabolic uncoupling, feasting/fasting, and endogenous decay), biological floc destruction, and predation on bacteria by higher organisms. Though discrepancies across various studies are recognisable, it is apparent that sludge retention time, oxygen-reduction potential of the anaerobic tank, temperature, sludge return ratio and loading mode are relevant to sludge minimisation by sludge cycling approaches. The impact of sludge minimisation on CAS operation (e.g., organics and nutrient removal efficiency and sludge settleability) is highlighted, and key areas requiring further research are also identified.
Sepas-Moghaddam, A, Yazdani, D & Shahabi, J 2014, 'A novel hybrid image segmentation method', Progress in Artificial Intelligence, vol. 3, no. 1, pp. 39-49.
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Swarm intelligence algorithms have been extensively used in clustering-based applications, e.g., image segmentation, which is one of the fundamental components in image analysis and pattern recognition domains. Particle swarm optimization (PSO) is among swarm intelligence algorithms that perform based on population and random search. In this paper, a hybrid algorithm based on PSO, k-means, and learning automata is proposed for image segmentation. Each particle in the proposed method has been equipped with a learning automata (LA). In fact, each particle can either update its position by PSO method or select the next position utilizing k-means approach in each iteration based on its LA. In other word, the main aim of the hybrid proposed approach was to utilize the efficiency of PSO and k-mean methods under supervision of LA. The proposed approach along with other comparative studies has been applied for segmenting standard test images. Efficiency of the proposed method has been compared with that of other methods, and experimental results show the superiority proposed algorithm. © 2014 Springer-Verlag Berlin Heidelberg.
Setlhaolo, D, Xia, X & Zhang, J 2014, 'Optimal scheduling of household appliances for demand response', Electric Power Systems Research, vol. 116, pp. 24-28.
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Shabib-asl, A, Ayoub, MA, Alta\'ee, AF, Bin Mohd Saaid, I & Paulo Jose Valentim, P 2014, 'Comprehensive Review of Foam Application during Foam Assisted Water Alternating Gas (FAWAG) Method', Research Journal of Applied Sciences, Engineering and Technology, vol. 8, no. 17, pp. 1896-1904.
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© Maxwell Scientific Organization, 2014. In the last few decades, much focus has been placed on enhancing oil recovery from existing fields. This is accomplished by the study and application of various methods. As for recent cases, the Study of fluid mobility control and sweep efficiency in gas injection process as well as Water Alternating Gas (WAG) method have demonstrated positive results on oil recovery and thus gained wide interest in petroleum industry. WAG injection application results in an increased oil recovery. Its mechanism consists in reduction of Gas Oil Ratio (GOR). However, there are some problems associated with this which includes poor volumetric sweep efficiency due to its low density and high mobility when compared with oil. This has led to the introduction of Foam Assisted Water Alternating Gas (FAWAG) technique, which in contrast with WAG injection, acts in improving the sweep efficiency and reducing the gas oil ration therefore maximizing the production rate from the producer wells. This study presents a comprehensive review of FAWAG process from perspective of Snorre field experience. In addition some comparative results between FAWAG and the other EOR methods are presented including their setbacks. The main aim is to provide a solid background for future laboratory research and successful field application-extend.
Shafie, SM, Masjuki, HH & Mahlia, TMI 2014, 'Life cycle assessment of rice straw-based power generation in Malaysia', Energy, vol. 70, pp. 401-410.
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Shahid, M, El Saliby, I, McDonagh, A, Tijing, LD, Kim, J-H & Shon, HK 2014, 'Synthesis and characterisation of potassium polytitanate for photocatalytic degradation of crystal violet', Journal of Environmental Sciences, vol. 26, no. 11, pp. 2348-2354.
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Potassium titanate nanostructures were synthesised by hydrothermal treatment of TiO2 (P25) in KOH and H2O2. As-produced powders were characterised by scanning electron microscopy, energy-dispersive X-ray spectroscopy, transmission electron microscopy, X-ray diffraction, and nitrogen adsorption-desorption methods. Longitudinally-oriented-wire-like structures with a length up to several micrometres and diameters ranging from 10 to 30 nm were obtained. Larger size fibrous nanowires resulting from the hydrothermal treatment showed high affinity in adsorbing crystal violet (CV), which was mainly due to their high surface area. The photocatalytic bleaching of CV solution revealed that the wires are photoactive under ultraviolet light irradiation. Macroporous nanowires are considered as effective adsorbents of CV, capable of photocatalytic degradation, and they can be easily separated from the solution by settling.
Shahid, M, Saliby, IE, McDonagh, A, Kim, J-H & Shon, HK 2014, 'Photodesorption of specific organic compounds from titanium dioxide particles in aqueous media', Desalination and Water Treatment, vol. 52, no. 4-6, pp. 867-872.
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This study investigates the photodesorption of organic compounds (beef extract, peptone, humic acid, tannic acid, sodium lignin sulphonate, sodium lauryl sulphate, arabic gum powder and arabic acid) from TiO2 (1 g/L in water, pH 7). After a period to reach adsorption equilibrium, photodesorption experiments were conducted in a recirculated reactor at a constant flow rate of 150 mL/min with a UV light intensity of 24 W. Photodesorption was observed only for sodium lauryl sulphate (50%), sodium lignin sulphonate (43.47%), beef extract (20.35%) and tannic acid (10.5%) indicating that photodesorption is specific to some organic compounds but not to all. Using liquid chromatography-organic carbon detection, untreated beef extract and sodium lignin sulphonate were found to contain significant amounts of humic substances (∼1,000 g/mol), which decreased in concentration after dark phase adsorption, while a significant increase in low molecular weight (<350 g/mol) concentrations was observed after photodesorption. UV-treated sodium lauryl sulphate photodesorbed to give both higher molecular weight (HMW) and lower molecular weight (LMW) organics. Thus, the HMW fractions of organic compounds decomposed into smaller compounds after UV irradiation, which subsequently desorbed from TiO2 surface. However, untreated tannic acid contained a larger proportion of LMW acids, which shows a high adsorption affinity to TiO2 during adsorption and poorly desorbs upon irradiation.
Shahir, SA, Masjuki, HH, Kalam, MA, Imran, A, Fattah, IMR & Sanjid, A 2014, 'Feasibility of diesel–biodiesel–ethanol/bioethanol blend as existing CI engine fuel: An assessment of properties, material compatibility, safety and combustion', Renewable and Sustainable Energy Reviews, vol. 32, pp. 379-395.
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Shancita, I, Masjuki, HH, Kalam, MA, Rizwanul Fattah, IM, Rashed, MM & Rashedul, HK 2014, 'A review on idling reduction strategies to improve fuel economy and reduce exhaust emissions of transport vehicles', Energy Conversion and Management, vol. 88, pp. 794-807.
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Shanmuganathan, S, Nguyen, TV, Shim, WG, Kandasamy, J & Vigneswaran, S 2014, 'Performance of submerged membrane - Ion exchange hybrid system with Purolite A502PS in treating reverse osmosis feed', SEPARATION AND PURIFICATION TECHNOLOGY, vol. 122, pp. 24-31.
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The performance of ion exchanger Purolite A502PS in treating biologically treated sewage effluent (Reverse Osmosis feed) was evaluated in a submerged membrane ion exchange hybrid system (SMIHS). The experimental results showed that adding a small amount of Purolite A502PS of 0.5 g/L increased the organic removal of the submerged membrane reactor from less than 10% to above 40%. The homogeneous surface diffusion model (HSDM) could predict the adsorption kinetics of Purolite A502PS. A higher dose of Purolite A502PS in SMIHS led to better organic removal as well as reduced membrane resistance. After one hour of operation at a flux of 36 LMH, the amount of organic matter retained on the membrane surface decreased from 2.11E-9 kg/m2 s to 8.25E-10 kg/m 2 s when 1 g/L of Purolite A502PS was added into the submerged membrane reactor. Although the increase of membrane flux from 36 L/m2 h (LMH) to 60 LMH did not have much effect on organic removal, more organics were adsorbed onto the membrane surface. This led to a higher transmembrane pressure (TMP) of 12 kPa in the SMIHS after eight hours operation at a flux 60 LMH. The increase in TMP was approximately four times higher than that at a flux of 36 LMH.© 2013 Elsevier B.V. All rights reserved.
Shanmuganathan, S, Nguyen, TV, Shim, WG, Kandasamy, J, Listowski, A & Vigneswaran, S 2014, 'Effluent organic matter removal from reverse osmosis feed by granular activated carbon and purolite A502PS fluidized beds', JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY, vol. 20, no. 6, pp. 4499-4508.
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© 2014 The Korean Society of Industrial and Engineering Chemistry. Applying pre-treatments to remove dissolved organic matter from reverse osmosis (RO) feed can help to reduce organic fouling of the RO membrane. In this study the performance of granular activated carbon (GAC), a popular adsorbent, and purolite A502PS, an anion exchange resin, in removing effluent organic matter (EfOM) from RO feed collected from a water reclamation plant located at Sydney Olympic Park, Australia were evaluated and compared through adsorption equilibrium, kinetics and fluidized bed experiments. The maximum adsorption capacity (Qmax) of GAC calculated from the Langmuir model with RO feed was 13.4mg/g GAC. The operational conditions of fluidized bed columns packed with GAC and purolite A502PS strongly affected the removal of EfOM. GAC fluidized bed with a bed height of 10cm and fluidization velocity of 5.7m/h removed more than 80% of dissolved organic carbon (DOC) during a 7h experiment. The average DOC removal was 60% when the bed height was reduced to 7cm. When comparing GAC with purolite A502PS, more of the later was required to remove the same amount of DOC. The poorer performance of purolite A502PS can be explained by the competition provided by other inorganic anions present in RO feed. A plug flow model can be used to predict the impact of the amount of adsorbent and of the flow rate on removal of organic matter from the fluidized bed column.
Shannon, AG 2014, 'Fermatian hurwitz series within the Fontené-Jackson calculus', Advanced Studies in Contemporary Mathematics (Kyungshang), vol. 24, no. 1, pp. 129-136.
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This paper develops some congruence properties of Hurwitz series generalized by Fermatian numbers and extended with the FontenéJackson calculus.
Shannon, AG & Leyendekkers, JV 2014, 'Some properties associated with a prime characteristic function', Proceedings of the Jangjeon Mathematical Society, vol. 17, no. 2, pp. 293-297.
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Primality tests utilise many aspects of number theory since primes are the building blocks of number theory. This paper defines a characteristic function for detecting prime numbers and uses it with some well-known functions. It is also applied to the Fibonacci numbers as exemplars of integers with special properties.
Sharma, D, Misra, S & Yang, M 2014, 'Comparing policy, regulations and institutions for geological disposal of radioactive waste and carbon dioxide', International Journal of Global Energy Issues, vol. 37, no. 1/2/3/4, pp. 146-146.
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Sharma, RK, Ganesan, P, Sahu, JN, Metselaar, HSC & Mahlia, TMI 2014, 'Numerical study for enhancement of solidification of phase change materials using trapezoidal cavity', Powder Technology, vol. 268, pp. 38-47.
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Sheng, D, Zhang, S & He, Z 2014, 'Assessing frost susceptibility of soils', Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, vol. 33, no. 3, pp. 594-605.
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Frost heave is assumed to be caused by the formation of ice lenses in a freezing soil. The formation of ice lenses is governed by the Clapeyron equation of thermodynamics and relies on the existence of a frozen fringe between frozen and unfrozen zones. Both unfrozen water and ice co-exist in pores of the frozen fringe. The suction at water-ice interface is the driving force for water flow that feeds the growth of ice lens. The initiation of a new ice lens is governed by a simple effective stress concept. Then a simple frost heave model is presented. The frost heave model contains only a few soil parameters and can be used to compute frost heave and frost penetration in stratified soil profiles. The second part of the paper illustrates the application of the frost heave model in assessing the frost susceptibility of different soils. It is shown that the frost susceptibility of a soil must be assessed together with environmental conditions such as overburden pressure, temperature gradient, cooling rate and the depth of groundwater table. A soil that is only mildly susceptible to frost according to classification can still generate a significant amount of heave or heaving pressure under favourable environmental conditions.
SHENG, D, ZHANG, S, NIU, F & CHENG, G 2014, 'A potential new frost heave mechanism in high-speed railway embankments', Géotechnique, vol. 64, no. 2, pp. 144-154.
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Substantial frost heave has been observed in coarse fills in high-speed railway embankments. These coarse fills have very low water contents, and are located above the groundwater table. In an attempt to explain the unexpected frost heave, it is proposed that cyclic train loads cause the development of excess pore water pressure in the underlying subgrade soil, and hence ‘pump' up the water table to the frost front, which in turn feeds the formation of ice and results in continuous frost heave. A simple quantitative model is then developed to simulate the pumping-enhanced frost heave. The numerical results show that the proposed mechanism can indeed provide a rational explanation for the otherwise unexpected frost heave. The engineering implications of this new frost heave mechanism are also discussed, in the context of designing frost heave mitigation measures in seasonally frozen regions.
Shenghua Gao, Tsang, IW-H & Yi Ma 2014, 'Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization', IEEE Transactions on Image Processing, vol. 23, no. 2, pp. 623-634.
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This paper targets fine-grained image categorization by learning a category-specific dictionary for each category and a shared dictionary for all the categories. Such category-specific dictionaries encode subtle visual differences among different categories, while the shared dictionary encodes common visual patterns among all the categories. To this end, we impose incoherence constraints among the different dictionaries in the objective of feature coding. In addition, to make the learnt dictionary stable, we also impose the constraint that each dictionary should be self-incoherent. Our proposed dictionary learning formulation not only applies to fine-grained classification, but also improves conventional basic-level object categorization and other tasks such as event recognition. Experimental results on five data sets show that our method can outperform the state-of-the-art fine-grained image categorization frameworks as well as sparse coding based dictionary learning frameworks. All these results demonstrate the effectiveness of our method. © 1992-2012 IEEE.
Shern, JF, Chen, L, Chmielecki, J, Wei, JS, Patidar, R, Rosenberg, M, Ambrogio, L, Auclair, D, Wang, J, Song, YK, Tolman, C, Hurd, L, Liao, H, Zhang, S, Bogen, D, Brohl, AS, Sindiri, S, Catchpoole, D, Badgett, T, Getz, G, Mora, J, Anderson, JR, Skapek, SX, Barr, FG, Meyerson, M, Hawkins, DS & Khan, J 2014, 'Comprehensive Genomic Analysis of Rhabdomyosarcoma Reveals a Landscape of Alterations Affecting a Common Genetic Axis in Fusion-Positive and Fusion-Negative Tumors', Cancer Discovery, vol. 4, no. 2, pp. 216-231.
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Abstract Despite gains in survival, outcomes for patients with metastatic or recurrent rhabdomyosarcoma remain dismal. In a collaboration between the National Cancer Institute, Children's Oncology Group, and Broad Institute, we performed whole-genome, whole-exome, and transcriptome sequencing to characterize the landscape of somatic alterations in 147 tumor/normal pairs. Two genotypes are evident in rhabdomyosarcoma tumors: those characterized by the PAX3 or PAX7 fusion and those that lack these fusions but harbor mutations in key signaling pathways. The overall burden of somatic mutations in rhabdomyosarcoma is relatively low, especially in tumors that harbor a PAX3/7 gene fusion. In addition to previously reported mutations in NRAS, KRAS, HRAS, FGFR4, PIK3CA, and CTNNB1, we found novel recurrent mutations in FBXW7 and BCOR, providing potential new avenues for therapeutic intervention. Furthermore, alteration of the receptor tyrosine kinase/RAS/PIK3CA axis affects 93% of cases, providing a framework for genomics-directed therapies that might improve outcomes for patients with rhabdomyosarcoma. Significance: This is the most comprehensive genomic analysis of rhabdomyosarcoma to date. Despite a relatively low mutation rate, multiple genes were recurrently altered, including NRAS, KRAS, HRAS, FGFR4, PIK3CA, CTNNB1, FBXW7, and BCOR. In addition, a majority of rhabdomyosarcoma tumors alter the receptor tyrosine kinase/RAS/PIK3CA axis, providing an opportunity for genomics-guided intervention. Cancer Discov; 4(2); 216–31. ©2014 AACR. This article is highlighted in the In This Issue feature, p. 131
Shi, H, Yang, Y, Liu, M, Yan, C, Yue, H & Zhou, J 2014, 'Occurrence and distribution of antibiotics in the surface sediments of the Yangtze Estuary and nearby coastal areas', Marine Pollution Bulletin, vol. 83, no. 1, pp. 317-323.
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The occurrence and distribution of five groups of antibiotics were investigated in the surface sediments of the Yangtze Estuary over four seasons. Four tetracyclines (TCs), sulfaquinoxaline (SQ), enrofloxacin (EFC) and thiamphenicol (TAP) were detected in all the samples, while sulfamerazine (SM) and sulfathiazole (ST) showed the lowest detection frequency. The detection frequencies and antibiotic concentrations were generally higher in January and May, indicating that low flow conditions and low temperature might enhance the persistence of antibiotics in sediment. Antibiotic levels varied with location, with the highest concentrations being observed around river discharges and sewage outfalls. Furthermore, a positive correlation between the concentration of quinolones and TOC revealed the significant role played by TOC. The concentration of quinolones at Wusongkou exceeded the trigger value (0.10 mg kg(-1)) of the Steering Committee of the Veterinary International Committee on Harmonization (VICH), which should be paid attention to in future studies.
Shi, X & Miyanaga, Y 2014, 'Performance optimization of iterative receiver for wireless communications based on realistic channel conditions', Computers & Electrical Engineering, vol. 40, no. 5, pp. 1498-1507.
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Shine, JM, Handojoseno, AMA, Nguyen, TN, Tran, Y, Naismith, SL, Nguyen, H & Lewis, SJG 2014, 'Abnormal patterns of theta frequency oscillations during the temporal evolution of freezing of gait in Parkinson’s disease', Clinical Neurophysiology, vol. 125, no. 3, pp. 569-576.
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Objective: We sought to characterize the electrophysiological signature of Freezing of gait in Parkinson's disease. Methods: We examined 24 patients with idiopathic Parkinson's disease and significant freezing of gait as they performed a series of timed up-and-go tasks in their 'off' state while electroencephalographic data was collected from four scalp leads. Fast Fourier Transformation was utilized to explore the power spectral density between periods of normal walking and periods of freezing, as well as during the transition between the two states. In addition, Cross Spectrum and Cross Frequency analyses were used to explore the role of impaired temporal and spatial connectivity. Results: When compared to walking, episodes of freezing were associated with a significant increase in theta band power within the central and frontal leads. The transition from normal walking to freezing of gait was also associated with increased theta frequency coupling between the central and frontal leads, along with an increase in cross-frequency coupling in the central lead. Conclusions: Episodes of freezing of gait in Parkinson's disease are associated with abnormal oscillatory activity in the brain. Significance: These results provide novel insights into the pattern of spatiotemporal dynamics underlying freezing of gait and may provide a potential means for therapeutic prediction and alleviation of freezing episodes in susceptible patients. © 2013.
Shoa, TZ, Nateghi, S, Nohegar, A, Amiri, F & Pradhan, B 2014, 'Sediment yield assessment at basin scale using geospatial technique', Arabian Journal of Geosciences, vol. 7, no. 7, pp. 2841-2850.
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Shon, HK, Nghiem, LD, Kim, S, Chiemchaisri, C, Aravinthan, V, Virkutyte, J, Shu, L & Jegatheesan, V 2014, 'Special issue on the Challenges in Environmental Science and Engineering—CESE-2012 9–13 September 2012, RACV City Club, Melbourne, Australia', Desalination and Water Treatment, vol. 52, no. 4-6, pp. 555-555.
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Shouzhen, Z, Qifeng, W, Merigó, J & Tiejun, P 2014, 'Induced intuitionistic fuzzy ordered weighted averaging: Weighted average operator and its application to business decision-making', Computer Science and Information Systems, vol. 11, no. 2, pp. 839-857.
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We present the induced intuitionistic fuzzy ordered weighted averaging-weighted average (I-IFOWAWA) operator. It is a new aggregation operator that uses the intuitionistic fuzzy weighted average (IFWA) and the induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator in the same formulation. We study some of its main properties and we have seen that it has a lot of particular cases such as the IFWA and the intuitionistic fuzzy ordered weighted averaging (IFOWA) operator. We also study its applicability in a decision-making problem concerning strategic selection of investments. We see that depending on the particular type of I-IFOWAWA operator used, the results may lead to different decisions.
Shrestha, A, Jeong, S, Vigneswaran, S & Kandasamy, J 2014, 'Seawater biofiltration pre-treatment system: comparison of filter media performance', Desalination and Water Treatment, vol. 52, no. 34-36, pp. 6325-6332.
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© 2013, © 2013 Balaban Desalination Publications. All rights reserved. Abstract: Biological filtration is an effective pre-treatment method to remove organic matter and particulate matter from seawater. Three biofilter columns were operated packed with granular-activated carbon (GAC), anthracite and sand as a filter media. The biofilters were run for 120 d at a slow filtration velocity of 0.12 m/h. Biofiltration performances were evaluated in terms of turbidity, different fouling indices, and dissolved organic carbon(DOC). The removal efficiencies of turbidity by the three biofilters were similar with low headloss development. The fouling potential of treated seawater (filtrate) was evaluated using three different fouling indices such as microfiltration, ultrafiltration, and microfiltration at a cross flow. The analyses of three different fouling indices showed that the reduction in fouling potential was the following order GAC > sand > anthracite. In terms of DOC removal efficiency, GAC biofilter showed higher and stable removal efficiency (41–88%), than sand biofilter (7–76%) and anthracite biofilter (3–71%). All biofilters used in this study removed most of hydrophobic organic compounds (around 94%). On the other hand, hydrophilic organic removal varied depending on the media filter. GAC biofilter removed more organic biopolymers (51%), humic substances (75%) and building blocks (50%) compared with sand and anthracite biofilters. Therefore, GAC biofiltration can be used as an effective pre-treatment to alleviate organic fouling.
Sick, N, Blug, M & Leker, J 2014, 'The Influence of Raw Material Prices on the Development of Hydrogen Storage Materials: The Case of Metal Hydrides', Journal of the Knowledge Economy, vol. 5, no. 4, pp. 735-760.
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© Springer Science+Business Media New York 2012. Hydrogen holds a prominent role as renewable energy carrier of the future due to its high gravimetric energy density. However, the most urgent technological challenge—especially concerning mobile applications in fuel cell vehicles—is the development of appropriate hydrogen storage options. In this context, metal hydrides are promising candidates in terms of development potential and increasing storage density. Our research outlines the so-far neglected influence of raw material prices on the decision which metal hydride is to date the most capable option to pursue. Using scenario analysis, we picture the impact of possible price developments depending on diffusion speed of fuel cell technologies into the automotive market, further applications of the corresponding raw materials, and other external influence factors. The main practical implication of our approach consists in enhancing the understanding of constantly changing market conditions—in our case scarcity and prices of the needed raw materials—and their impact on technology assessment in an early stage of the innovation process. In a superior context, our results in terms of metal hydrides can be adapted to other technologies and thus contribute to design a general model illustrating the influence of raw material prices on the development of energy technologies.
Siddiqa, S, Hossain, MA & Saha, SC 2014, 'The effect of thermal radiation on the natural convection boundary layer flow over a wavy horizontal surface', International Journal of Thermal Sciences, vol. 84, pp. 143-150.
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Silakhori, M, Metselaar, HSC, Mahlia, TMI & Fauzi, H 2014, 'Preparation and characterisation of microencapsulated paraffin wax with polyaniline-based polymer shells for thermal energy storage', Materials Research Innovations, vol. 18, no. sup6, pp. 480-484.
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Silakhori, M, Metselaar, HSC, Mahlia, TMI, Fauzi, H, Baradaran, S & Naghavi, MS 2014, 'Palmitic acid/polypyrrole composites as form-stable phase change materials for thermal energy storage', Energy Conversion and Management, vol. 80, pp. 491-497.
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Simon, A, Fujioka, T, Price, WE & Nghiem, LD 2014, 'Sodium hydroxide production from sodium carbonate and bicarbonate solutions using membrane electrolysis: A feasibility study', Separation and Purification Technology, vol. 127, pp. 70-76.
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Šimon, P, Thomas, P, Dubaj, T, Cibulková, Z, Peller, A & Veverka, M 2014, 'The mathematical incorrectness of the integral isoconversional methods in case of variable activation energy and the consequences', Journal of Thermal Analysis and Calorimetry, vol. 115, no. 1, pp. 853-859.
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Kinetic parameters resulting from the application of isoconversional methods mostly depend on the degree of conversion. This paper shows that the integral isoconversional methods are mathematically incorrect if the activation energy depends on conversion. In this case, the incorrectness resides in improper separation of variables in the general rate equation. As a consequence, non-sensical snake-like shape of the conversion versus time curves is observed when the kinetic results are extrapolated to lower temperatures. © 2013 Akadémiai Kiadó, Budapest, Hungary.
Siwakoti, YP, Blaabjerg, F, Loh, PC & Town, GE 2014, 'High‐voltage boost quasi‐Z‐source isolated DC/DC converter', IET Power Electronics, vol. 7, no. 9, pp. 2387-2395.
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© The Institution of Engineering and Technology 2014. A high-voltage gain two-switch quasi-Z-source isolated DC/DC converter has been presented in this study. It consists of a quasi-Z-source network at its input, a push-pull square-wave inverter at its middle, and a voltage-doubler rectifier at its output. When coordinated appropriately, the new converter uses less switches, a smaller common duty cycle and less turns for the transformer when compared with existing topologies. Its size and weight are therefore smaller, whereas its efficiency is higher. It is therefore well-suited for applications, where a wide range of voltage gain is required like renewable energy systems, DC power supplies found in telecom, aerospace and electric vehicles. To demonstrate the performance of the proposed converter, a 400 V, 500 W prototype has been implemented in the laboratory. Efficiency of the prototype measured is found to vary from 89.0 to 97.4% when its input voltage changes from 44 to 82 V at full load.
Siwakoti, YP, Loh, PC, Blaabjerg, F & Town, GE 2014, 'Effects of Leakage Inductances on Magnetically Coupled Y-Source Network', IEEE Transactions on Power Electronics, vol. 29, no. 11, pp. 5662-5666.
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Coupled inductors have been used with impedance-source networks, extended from the earlier Z-source network, to keep their shoot-through times short, while providing high-voltage gains. A commonly stated requirement for these networks is that their magnetic couplings must be strong or their leakage inductances must be small. This is often difficult to achieve in practice especially at high switching frequencies. It is therefore necessary to understand the effects that leakage inductances have on the performance of these converters. In this letter, we address these issues for the latest Y-source network, showing in particular that voltage spikes will appear across its switching devices in some, but not all, cases. Experimental results verifying the findings have been obtained and presented at the end of this letter. © 2014 IEEE.
Siwakoti, YP, Loh, PC, Blaabjerg, F & Town, GE 2014, 'Magnetically coupled high‐gain Y‐source isolated DC/DC converter', IET Power Electronics, vol. 7, no. 11, pp. 2817-2824.
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Siwakoti, YP, Loh, PC, Blaabjerg, F & Town, GE 2014, 'Y-Source Impedance Network', IEEE Transactions on Power Electronics, vol. 29, no. 7, pp. 3250-3254.
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This letter introduces a new versatile Y-shaped impedance network for realizing converters that demand a very high-voltage gain, while using a small duty ratio. To achieve that, the proposed network uses a tightly coupled transformer with three windings, whose obtained gain is presently not matched by existing networks operated at the same duty ratio. The proposed impedance network also has more degrees of freedom for varying its gain, and hence, more design freedom for meeting requirements demanded from it. This capability has been demonstrated by mathematical derivation, and proven in experiment with an example of a single-switch dc-dc converter. © 2013 IEEE.
Sofi, M, Mendis, P, Baweja, D & Mak, S 2014, 'Influence of ambient temperature on early age concrete behaviour of anchorage zones', CONSTRUCTION AND BUILDING MATERIALS, vol. 53, pp. 1-12.
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Sohaib, O & Kang, K 2014, 'CULTURAL ASPECTS OF BUSINESS-TO-CONSUMER (B2C) E-COMMERCE: ACOMPARATIVE ANALYSIS OF PAKISTAN AND AUSTRALIA', ELECTRONIC JOURNAL OF INFORMATION SYSTEMS IN DEVELOPING COUNTRIES, vol. 61, no. 1.
Sohaib, O & Kang, K 2014, 'Cultural Aspects of Business-to-Consumer (B2C) E-commerce: Acomparative Analysis of Pakistan and Australia.', Electron. J. Inf. Syst. Dev. Ctries., vol. 61, no. 1, pp. 1-18.
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It is generally believed that Business to-Consumer (B2C) e-commerce will help firms to improve productivity to the global market both in developing and developed countries. This study examines the extent of B2C websites communication differentiation on cultural ground. Through a content analysis, Hofstede's and Hall's cultural factors were examined in 64 B2C e-commerce websites of Pakistan and Australia. To test for the difference an independent samples t-test was conducted. The results show that B2C websites somehow reflects the cultural environment that surrounds the online buyers. It appears that to influence online buyers to purchase, firms need to develop culturally adapted websites. This study provides some indications that the cultural trend in B2C websites is providing opportunities to business firms to make changes to their market strategies to better trigger their online sale by targeting two different cultures.
Sohaib, O & Kang, K 2014, 'Examining Web Content Accessibility of E-Commerce Websites across Cultures', Journal of Internet Banking and Commerce, vol. 19, no. 3, pp. 1-13.
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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 of their e-business websites. In particular, web design in Business-to-Consumer (B2C) e-commerce. It is also important for B2C websites to adopt web accessibility such as the Web Content Accessibility Guidelines (WCAG) to increase user satisfaction of all ages and with disabilities. This study analysed 46 Australian and Pakistani B2C websites in accordance to Web Content Accessibility Guidelines (WCAG 2.0) using an online self-evaluation accessibility web service “A-Checker”. To test for the differences an independent sample t-statistics was conducted. In general, the result shows that B2C websites are not paying attention to web accessibility. However, there is a need for web accessibility in B2C e-commerce websites across cultures.
Sojoudi, A, Mazloomi, A, Saha, SC & Gu, YT 2014, 'Similarity Solutions for Flow and Heat Transfer of Non-Newtonian Fluid over a Stretching Surface', Journal of Applied Mathematics, vol. 2014, pp. 1-8.
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Similarity solutions are carried out for flow of power law non-Newtonian fluid film on unsteady stretching surface subjected to constant heat flux. Free convection heat transfer induces thermal boundary layer within a semi-infinite layer of Boussinesq fluid. The nonlinear coupled partial differential equations (PDE) governing the flow and the boundary conditions are converted to a system of ordinary differential equations (ODE) using two-parameter groups. This technique reduces the number of independent variables by two, and finally the obtained ordinary differential equations are solved numerically for the temperature and velocity using the shooting method. The thermal and velocity boundary layers are studied by the means of Prandtl number and non-Newtonian power index plotted in curves.
Sojoudi, A, Saha, SC, Khezerloo, M & Gu, YT 2014, 'Unsteady Natural Convection Within a Porous Enclosure of Sinusoidal Corrugated Side Walls', Transport in Porous Media, vol. 104, no. 3, pp. 537-552.
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Song, R, Liu, Q, Hutvagner, G, Nguyen, H, Ramamohanarao, K, Wong, L & Li, J 2014, 'Rule discovery and distance separation to detect reliable miRNA biomarkers for the diagnosis of lung squamous cell carcinoma', BMC GENOMICS, vol. 15.
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© 2014 Song et al. Background: Altered expression profiles of microRNAs (miRNAs) are linked to many diseases including lung cancer. miRNA expression profiling is reproducible and miRNAs are very stable. These characteristics of miRNAs make them ideal biomarker candidates. Method: This work is aimed to detect 2-and 3-miRNA groups, together with specific expression ranges of these miRNAs, to form simple linear discriminant rules for biomarker identification and biological interpretation. Our method is based on a novel committee of decision trees to derive 2-and 3-miRNA 100%-frequency rules. This method is applied to a data set of lung miRNA expression profiles of 61 squamous cell carcinoma (SCC) samples and 10 normal tissue samples. A distance separation technique is used to select the most reliable rules which are then evaluated on a large independent data set. Results: We obtained four 2-miRNA and three 3-miRNA top-ranked rules. One important rule is that: If the expression level of miR-98 is above 7.356 and the expression level of miR-205 is below 9.601 (log2 quantile normalized MirVan miRNA Bioarray signals), then the sample is normal rather than cancerous with specificity and sensitivity both 100%. The classification performance of our best miRNA rules remarkably outperformed that by randomly selected miRNA rules. Our data analysis also showed that miR-98 and miR-205 have two common predicted target genes FZD3 and RPS6KA3, which are actually genes associated with carcinoma according to the Online Mendelian Inheritance in Man (OMIM) database. We also found that most of the chromosomal loci of these miRNAs have a high frequency of genomic alteration in lung cancer. On the independent data set (with balanced controls), the three miRNAs miR-126, miR-205 and miR-182 from our best rule can separate the two classes of samples at the accuracy of 84.49%, sensitivity of 91.40% and specificity of 77.14%. Conclusion: Our results indicate that rule discovery foll...
Sorourian, S, Keshavarzi, A, Ball, J & Samali, B 2014, 'Blockage effects on scouring downstream of box culverts under unsteady flow', Australian Journal of Water Resources, vol. 18, no. 2, pp. 180-190.
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This experimental study is concerning scouring at the outlet of partially blocked box culverts under unsteady flow condition. The blockage of culverts is considered as an important factor on the scouring pattern at the outlet of the blocked box culverts. To investigate the effect of blockage on scouring pattern downstream of a box culvert under unsteady flow, some experimental tests were carried out in a laboratory flume located in the Hydraulics Laboratory of the University of Technology Sydney. The experimental tests were carried on in both partially blocked and non-blocked conditions and consequentially the effect of blockage on scour pattern is investigated. It was found that 88% to 98% of maximum scour depth occurs in the rising limb of the hydrograph.
Spermon, M, Schouten, I & Hoven, EVD 2014, 'Designing interaction in digital tabletop games to support collaborative learning in children', International Journal of Learning Technology, vol. 9, no. 1, pp. 3-3.
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According to Dillenbourg et al. (1996), collaborative learning occurs when two or more people try to learn something together. This process consists of four successive stages, one of which concerns collaborative interactions. In this paper we present two studies that implemented two different ways of increasing the number of collaborative interactions. To increase the number of collaborative interactions in a game, the first study focused on degrees of collaboration (Kahn and Mentzer, 1996) and the second study focused on cooperative gestures (Morris et al., 2006a), which were used in the third degree of the first study. In order to facilitate collaborative interactions and its properties (Dillenbourg, 1991), we decided to design two digital tabletop games with tangible interaction that both require collaboration to win. The evaluations in both studies, by means of the Wizard of Oz method, showed a significant increase in collaborative interactions. We also found that verbal and gestural interactions are a better measure criterion for tabletop games than how much people look at each other.
Steffen, M & Deuse, J 2014, '5 Thesen zur organisationalen Kompetenz für Produktionssystemverbesserungen', Zeitschrift für wirtschaftlichen Fabrikbetrieb, vol. 109, no. 10, pp. 708-712.
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Kurzfassung Ziel des Beitrags ist die Diskussion empirischer Forschungsergebnisse in Bezug auf verschiedene Elemente organisationaler Kompetenz für Produktionssystemverbesserungen sowie die Ableitung von Handlungsempfehlungen. Grundlage bilden Projektergebnisse über Herausforderungen und Folgen neuer Produktionssysteme. Durch Analyse von über 30 Interviews wurden verschiedene Thesen herausgearbeitet. Ein Auszug von 5 Thesen über Kompetenzanforderungen, -entwicklung und -verankerung wird im Beitrag vorgestellt.
STEIN, NV & SICK, N 2014, 'TECHNOLOGICAL DISTANCE IN ACADEMIC COLLABORATIONS: EVIDENCE FROM BATTERY RESEARCH', International Journal of Innovation Management, vol. 18, no. 06, pp. 1440011-1440011.
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Technological distance is one important factor within research projects to enhance or prevent successful knowledge transfer for innovation. To get a better understanding of bridging mechanisms of diverging technological distances, we compare publication-based and individually perceived technological distances of collaboration partners in a multi-disciplinary battery research project. Differences hint at already bridged or non-bridged technological distances. Further information, given during expert interviews, present reasons for different knowledge transfer and recombination mechanisms in different dyadic collaborations. We generally find evidence that technological distance can be bridged by reducing geographical or social distances. When research activities are really complementary and collaboration partners have a common (technical) language, there is less need of decreasing other distances. Integrating research along the traditional battery value chain needs more social or geographical proximity to decrease and not just bridge technological distance at least in a practical way.
Stewart, MG & Mueller, J 2014, 'A risk and cost–benefit analysis of police counter-terrorism operations at Australian airports', Journal of Policing, Intelligence and Counter Terrorism, vol. 9, no. 2, pp. 98-116.
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Stewart, MG & Mueller, J 2014, 'Cost-benefit analysis of airport security: Are airports too safe?', Journal of Air Transport Management, vol. 35, pp. 19-28.
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This paper assesses the risks and cost-effectiveness of measures designed to further protect airport terminals and associated facilities such as car parks from terrorist attack in the U.S., Europe, and the Asia-Pacific area. The analysis considers threat likelihood, the cost of security measures, hazard likelihood, risk reduction and expected losses to compare the costs and benefits of security measures to decide the optimal security measures to airports. Monte-Carlo simulation methods were used to propagate hazard likelihood, risk reduction and loss uncertainties in the calculation of net benefits that also allows probability of cost-effectiveness to be calculated. It is found that attack probabilities had to be much higher than currently observed to justify additional protective measures. Overall, then, it is questionable whether special efforts to further protect airports are sensible expenditures. Indeed, some relaxation of the measures already in place may well be justified. © 2013 Elsevier Ltd.
Stewart, MG & Mueller, J 2014, 'Terrorism Risks for Bridges in a Multi-Hazard Environment', International Journal of Protective Structures, vol. 5, no. 3, pp. 275-289.
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The paper will assess terrorist threats to new and existing bridges and the cost-effectiveness of protective counter-terrorism measures. This analysis will consider threat likelihood, cost of security measures, risk reduction and expected losses to compare the costs and benefits of protective measures to bridges to decide which protective measures are cost-effective. In this paper, a break-even cost-benefit analysis determines the minimum probability of an attack, absent the protective measures, that is required for the benefit of the protective measures to equal their cost for new and existing bridges. It was found that unless terrorist threat probabilities are high, then typical protective measures are not cost-effective. Bridges and other critical infrastructure are subject to a range of natural and man-made hazards, and terrorism is most likely not as important a threat as natural hazards. It was found that economic risks to bridges from floods, earthquakes, and ship impact are higher than threats from terrorism.
Stewart, MG, Wang, X & Willgoose, GR 2014, 'Direct and Indirect Cost-and-Benefit Assessment of Climate Adaptation Strategies for Housing for Extreme Wind Events in Queensland', Natural Hazards Review, vol. 15, no. 4.
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The intensity of tropical cyclones and severe storms is likely to increase due to climate change. Brisbane and the northeast coast of Queensland are regions where design wind specifications may be inadequate under either current or likely future climate conditions. An appropriate adaptation strategy may be one that increases wind classifications for new houses, which leads to a reduced vulnerability of new construction. The present paper will assess the damage risks, adaptation costs, and cost-effectiveness of these adaptation measures for residential construction in Cairns, Townsville, Rockhampton, and South East Queensland, assuming time-dependent changes in the frequency and intensity of cyclonic and noncyclonic winds to 2100. Loss functions are also developed for direct and indirect losses. It was found that increasing design wind loads for new houses in Brisbane and South East Queensland will lead to a net benefit [net present value (NPV)] of up to $10.5 billion by 2100, assuming a discount rate of 4%, which includes approximately 95% of a direct benefit and 5% of an indirect benefit. The benefits are highest for Brisbane due to its large population and the high vulnerability of existing residential construction, and have a 90-100% likelihood of achieving a net benefit by 2100.
Su, SW, Celler, BG & Nguyen, HT 2014, 'A new unconditionally stable condition based on singular perturbation analysis', INTERNATIONAL JOURNAL OF CONTROL, vol. 87, no. 3, pp. 464-472.
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Decentralised configuration with integral control action is the most commonly used control strategy in engineering practice. For decentralised integral control, a desired design target is to achieve closed-loop unconditional stability. Campo and Morari presented steady-state conditions, which can be applied to analyse unconditional stability for most multivariable processes. However, they also showed some processes for which the unconditional stability cannot be determined by only investigating the steady-state gain matrices of the processes. This paper presented an easy to use criterion to determine unconditional stability by using singular perturbation analysis and eigen-value sensitivity analysis. Based on the proposed criterion, the unconditional stability of all the examples presented by Campo and Morari can be easily determined. In the meantime, we proved a conjecture proposed by Campo and Morari (a necessary and sufficient condition for Integral Controllability) for up to all Three-Input and Three-Output systems. For higher dimensional systems, we proposed a new conjecture to simplify the verification of Campo and Moraris conjecture.
Su, Z, Wang, J, Lu, H & Zhao, G 2014, 'A new hybrid model optimized by an intelligent optimization algorithm for wind speed forecasting', Energy Conversion and Management, vol. 85, pp. 443-452.
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Subagia, IDGA, Jiang, Z, Tijing, LD, Kim, Y, Kim, CS, Lim, JK & Shon, HK 2014, 'Hybrid multi-scale basalt fiber-epoxy composite laminate reinforced with Electrospun polyurethane nanofibers containing carbon nanotubes', Fibers and Polymers, vol. 15, no. 6, pp. 1295-1302.
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In this study, we report the fabrication and evaluation of a hybrid multi-scale basalt fiber/epoxy composite laminate reinforced with layers of electrospun carbon nanotube/polyurethane (CNT/PU) nanofibers. Electrospun polyurethane mats containing 1, 3 and 5 wt% carbon nanotubes (CNTs) were interleaved between layers of basalt fibers laminated with epoxy through vacuum-assisted resin transfer molding (VARTM) process. The strength and stiffness of composites for each configuration were tested by tensile and flexural tests, and SEM analysis was conducted to observe the morphology of the composites. The results showed increase in tensile strength (4-13 %) and tensile modulus (6-20 %), and also increase in flexural strength (6.5-17.3 %) and stiffness of the hybrid composites with the increase of CNT content in PU nanofibers. The use of surfactant to disperse CNTs in the electrospun PU reinforcement resulted to the highest increase in both tensile and flexural properties, which is attributed to the homogeneous dispersion of CNTs in the PU nanofibers and the high surface area of the nanofibers themselves. Here, the use of multi-scale reinforcement fillers with good and homogeneous dispersion for epoxy-based laminates showed increased mechanical performance of the hybrid composite laminates. © 2014 The Korean Fiber Society and Springer Science+Business Media Dordrecht.
Subagia, IDGA, Tijing, LD & Kim, YJ 2014, 'Basalt Fabric-Electrospun Nanofiber-Based Composite Laminates', Applied Mechanics and Materials, vol. 465-466, pp. 852-856.
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This study investigated the influence of electrospun polyurethane mats containing different contents of carbon nanotubes (CNTs) stacked in between basalt fabric layers to form a composite laminate. The composite laminate was fabricated using a vacuum-assisted resin transfer molding (VARTM) process. Flexural test were carried out to investigate the strength and stiffness of composites for each configuration, while the failure characteristics were observed using a field emission scanning electron microscopy (FESEM) analysis. The results showed that flexural strength and stiffness of the hybrid composites with increasing CNT content in polyurethane (PU) nanofiber were increased by 6.5% and 17.3%, respectively. Furthermore, the addition of surfactants for the dispersion of CNTs in nanofibers significantly improved the flexural property of the composite interply basalt fabric-CNT/PU laminates. This study proved that the use of multi-scale reinforcement fillers with good and homogeneous dispersion increased the mechanical performance of the composite.
Sui, Y, Ye, D & Xue, J 2014, 'Detecting Memory Leaks Statically with Full-Sparse Value-Flow Analysis', IEEE Transactions on Software Engineering, vol. 40, no. 2, pp. 107-122.
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Sui, Y, Ye, S, Xue, J & Zhang, J 2014, 'Making context-sensitive inclusion-based pointer analysis practical for compilers using parameterised summarisation', Software: Practice and Experience, vol. 44, no. 12, pp. 1485-1510.
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Summers, C, Singh, NR, White, JF, Mackenzie, IM, Johnston, A, Solanki, C, Balan, KK, Peters, AM & Chilvers, ER 2014, 'Pulmonary retention of primed neutrophils: a novel protective host response, which is impaired in the acute respiratory distress syndrome', Thorax, vol. 69, no. 7, pp. 623-629.
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Sun, D-M, Yuan, X, Wei, H, Zhu, S-J, Zhang, P, Zhang, S-J, Fan, H-G, Li, Y, Zheng, Z & Liu, X-C 2014, 'Impaired myocardium energetics associated with the risk for new-onset atrial fibrillation after isolated coronary artery bypass graft surgery', Coronary Artery Disease, vol. 25, no. 3, pp. 224-229.
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Sun, J, Hu, S, Sharma, KR, Ni, B-J & Yuan, Z 2014, 'Stratified Microbial Structure and Activity in Sulfide- and Methane-Producing Anaerobic Sewer Biofilms', Applied and Environmental Microbiology, vol. 80, no. 22, pp. 7042-7052.
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ABSTRACT Simultaneous production of sulfide and methane by anaerobic sewer biofilms has recently been observed, suggesting that sulfate-reducing bacteria (SRB) and methanogenic archaea (MA), microorganisms known to compete for the same substrates, can coexist in this environment. This study investigated the community structures and activities of SRB and MA in anaerobic sewer biofilms (average thickness of 800 μm) using a combination of microelectrode measurements, molecular techniques, and mathematical modeling. It was seen that sulfide was mainly produced in the outer layer of the biofilm, between the depths of 0 and 300 μm, which is in good agreement with the distribution of SRB population as revealed by cryosection-fluorescence in situ hybridization (FISH). SRB had a higher relative abundance of 20% on the surface layer, which decreased gradually to below 3% at a depth of 400 μm. In contrast, MA mainly inhabited the inner layer of the biofilm. Their relative abundances increased from 10% to 75% at depths of 200 μm and 700 μm, respectively, from the biofilm surface layer. High-throughput pyrosequencing of 16S rRNA amplicons showed that SRB in the biofilm were mainly affiliated with five genera, Desulfobulbus , Desulfomicrobium , Desulfovibrio , Desulfatiferula , and Desulforegula , while about 90% of the MA population belonged to the genus JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, vol. 45, no. 1, pp. 134-150.
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SUN, QD, INDRARATNA, B & NIMBALKAR, S 2014, 'Effect of cyclic loading frequency on the permanent deformation and degradation of railway ballast', Géotechnique, vol. 64, no. 9, pp. 746-751.
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A series of large-scale cyclic triaxial tests were conducted on latite basalt aggregates (ballast) to investigate how the frequency f affects the permanent deformation and degradation of railway ballast. During testing the frequency was varied from 5 Hz to 60 Hz to simulate a range of train speeds from about 40 km/h to 400 km/h. Three categories of permanent deformation mechanisms were observed in response to the applied cyclic loads, namely, the inception of plastic shakedown (f ≤ 20 Hz), then plastic shakedown and ratcheting (30 Hz ≤ f ≤ 50 Hz), followed by plastic collapse at higher frequencies (f ≥ 60 Hz). The permanent strain of ballast and particle breakage increased with the frequency and number of load cycles. A cyclic strain ratio was introduced to capture the effect of frequency on the permanent axial and volumetric strains, respectively. An empirical equation was formulated to represent this relationship for latite basalt, and a critical train speed was identified. A good correlation was obtained between particle breakage and volumetric strain under cyclic loading.
Sun, X, Miyanaga, Y & Sai, B 2014, 'Dynamic Time Warping for Speech Recognition with Training Part to Reduce the Computation', Journal of Signal Processing, vol. 18, no. 2, pp. 89-96.
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Sun, Y, Indraratna, B & Nimbalka, S 2014, 'Three-dimensional characterisation of particle size and shape for ballast', Proceedings of the Institution of Civil Engineers: Forensic Engineering, vol. 4, pp. 197-202.
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The size and shape of particles influence how effectively coarse angular aggregates of ballast interact. The aim of this study was to improve the characterisation of ballast particles using a three-dimensional (3D) imaging method. Various size and shape indices, such as elongation ratio, sphericity and roundness, were determined from the scanned 3D images. A modified index called 'ellipsoidness' was proposed to capture adequately the shape of the 3D particles. Variation of these indices with particle size was studied. Comparison of the 3D true sphericity and the corresponding two-dimensional sphericity indicated that the latter would underestimate sphericity. A modified approach for transforming particle size distribution to constriction size distribution is proposed by capturing the size and shape effects of particles.
Sun, Y, Indraratna, B & Nimbalkar, S 2014, 'Three-dimensional characterisation of particle size and shape for ballast', Géotechnique Letters, vol. 4, no. 3, pp. 197-202.
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The size and shape of particles influence how effectively coarse angular aggregates of ballast interact. The aim of this study was to improve the characterisation of ballast particles using a three-dimensional (3D) imaging method. Various size and shape indices, such as elongation ratio, sphericity and roundness, were determined from the scanned 3D images. A modified index called ‘ellipsoidness’ was proposed to capture adequately the shape of the 3D particles. Variation of these indices with particle size was studied. Comparison of the 3D true sphericity and the corresponding two-dimensional sphericity indicated that the latter would underestimate sphericity. A modified approach for transforming particle size distribution to constriction size distribution is proposed by capturing the size and shape effects of particles.
Sun, Y, Zhao, L, Huang, S, Yan, L & Dissanayake, G 2014, 'L-2-SIFT: SIFT feature extraction and matching for large images in large-scale aerial photogrammetry', ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, vol. 91, pp. 1-16.
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The primary contribution of this paper is an efficient feature extraction and matching implementation for large images in large-scale aerial photogrammetry experiments. First, a Block-SIFT method is designed to overcome the memory limitation of SIFT for extracting and matching features from large photogrammetric images. For each pair of images, the original large image is split into blocks and the possible corresponding blocks in the other image are determined by pre-estimating the relative transformation between the two images. Because of the reduced memory requirement, features can be extracted and matched from the original images without down-sampling. Next, a red-black tree data structure is applied to create a feature relationship to reduce the search complexity when matching tie points. Meanwhile, tree key exchange and segment matching methods are proposed to match the tie points along-track and across-track. Finally, to evaluate the accuracy of the features extracted and matched from the proposed L2-SIFT algorithm, a bundle adjustment with parallax angle feature parametrization (ParallaxBA1The ParallaxBA source code is available open-source at OpenSLAM http://openslam.org/ParallaxBA.html. The features of the test datasets in this paper as the input to ParallaxBA are also available at OpenSLAM.1) is applied to obtain the Mean Square Error (MSE) of the feature reprojections, where the feature extraction and matching result is the only information used in the nonlinear optimisation system. Seven different experimental aerial photogrammetric datasets are used to demonstrate the efficiency and validity of the proposed algorithm. It is demonstrated that more than 33 million features can be extracted and matched from the Taian dataset with 737 images within 21h using the L2-SIFT algorithm. In addition, the ParallaxBA involving more than 2.7 million features and 6 million image points can easily converge to an MSE of 0.03874. The C/C++ source code for th...
Sun, Z, Esselle, KP, Zhong, S-S & Guo, YJ 2014, 'SHARED-APERTURE DUAL-BAND DUAL-POLARIZATION ARRAY USING SANDWICHED STACKED PATCH', Progress In Electromagnetics Research C, vol. 52, pp. 183-195.
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An L/C dual-band dual-polarized (DBDP) shared aperture microstrip array is proposed in the paper. In the array, the sandwiched stacked patch is employed for the L-band element to exploit the bandwidth for given element thickness. Several key issues regarding the proposed structure are discussed, including: 1) benefit of proposed L band sandwiched stacked patch; 2) C-band feeding method; 3) radiation performance in both bands. A prototype array of L/C DBDP sandwiched stacked patch is designed and fabricated to verify the feasibility of the proposed structure, where the measured data are presented in the paper. © 2010 EMW Publishing. All Rights Reserved.
Suñer, S, Bladen, CL, Gowland, N, Tipper, JL & Emami, N 2014, 'Investigation of wear and wear particles from a UHMWPE/multi-walled carbon nanotube nanocomposite for total joint replacements', Wear, vol. 317, no. 1-2, pp. 163-169.
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Surawski, NC, Miljevic, B, Bodisco, TA, Situ, R, Brown, RJ & Ristovski, ZD 2014, 'Performance and gaseous and particle emissions from a liquefied petroleum gas (LPG) fumigated compression ignition engine', FUEL, vol. 133, pp. 17-25.
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In this study, an LPG fumigation system was fitted to a Euro III compression ignition (CI) engine to explore its impact on performance, and gaseous and particulate emissions. LPG was introduced to the intake air stream (as a secondary fuel) by using a low pressure fuel injector situated upstream of the turbocharger. LPG substitutions were test mode dependent, but varied in the range of 14-29% by energy. The engine was tested over a 5 point test cycle using ultra low sulphur diesel (ULSD), and a low and high LPG substitution at each test mode. The results show that LPG fumigation coerces the combustion into pre-mixed mode, as increases in the peak combustion pressure (and the rate of pressure rise) were observed in most tests. The emissions results show decreases in nitric oxide (NO) and particulate matter (PM2.5) emissions; however, very significant increases in carbon monoxide (CO) and hydrocarbon (HC) emissions were observed. A more detailed investigation of the particulate emissions showed that the number of particles emitted was reduced with LPG fumigation at all test settings - apart from mode 6 of the ECE R49 test cycle. Furthermore, the particles emitted generally had a slightly larger median diameter with LPG fumigation, and had a smaller semi-volatile fraction relative to ULSD. Overall, the results show that with some modifications, LPG fumigation systems could be used to extend ULSD supplies without adversely impacting on engine performance and emissions. © 2014 Elsevier Ltd. All rights reserved.
Sutton, SK, Koach, J, Tan, O, Liu, B, Carter, DR, Wilmott, JS, Yosufi, B, Haydu, LE, Mann, GJ, Thompson, JF, Long, GV, Liu, T, McArthur, G, Zhang, XD, Scolyer, RA, Cheung, BB & Marshall, GM 2014, 'TRIM16 inhibits proliferation and migration through regulation of interferon beta 1 in melanoma cells', Oncotarget, vol. 5, no. 20, pp. 10127-10139.
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High basal or induced expression of the tripartite motif protein, TRIM16, leads to reduce cell growth and migration of neuroblastoma and skin squamous cell carcinoma cells. However, the role of TRIM16 in melanoma is currently unknown. TRIM16 protein levels were markedly reduced in human melanoma cell lines, compared with normal human epidermal melanocytes due to both DNA methylation and reduced protein stability. TRIM16 knockdown strongly increased cell migration in normal human epidermal melanocytes, while TRIM16 overexpression reduced cell migration and proliferation of melanoma cells in an interferon beta 1 (IFNβ1)-dependent manner. Chromatin immunoprecipitation assays revealed TRIM16 directly bound the IFNβ1 gene promoter. Low level TRIM16 expression in 91 melanoma patient samples, strongly correlated with lymph node metastasis, and, predicted poor patient prognosis in a separate cohort of 170 melanoma patients with lymph node metastasis. The BRAF inhibitor, vemurafenib, increased TRIM16 protein levels in melanoma cells in vitro, and induced growth arrest in BRAF-mutant melanoma cells in a TRIM16-dependent manner. High levels of TRIM16 in melanoma tissues from patients treated with Vemurafenib correlated with clinical response. Our data, for the first time, demonstrates TRIM16 is a marker of cell migration and metastasis, and a novel treatment target in melanoma.
Sweat, DP, Kim, M, Larson, SR, Choi, JW, Choo, Y, Osuji, CO & Gopalan, P 2014, 'Rational Design of a Block Copolymer with a High Interaction Parameter', Macromolecules, vol. 47, no. 19, pp. 6687-6696.
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Tabatabaiefar, HR & Fatahi, B 2014, 'Idealisation of soil-structure system to determine inelastic seismic response of mid-rise building frames', SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, vol. 66, no. 1, pp. 339-351.
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In this study, a novel and enhanced soilstructure model is developed adopting the direct analysis method using FLAC 2D software to simulate the complex dynamic soil-structure interaction and treat the behaviour of both soil and structure with equal rigour simultaneously. To have a better judgment on the inelastic structural response, three types of mid-rise moment resisting building frames, including 5, 10, and 15 storey buildings are selected in conjunction with three soil types with the shear wave velocities less than 600 m/s, representing soil classes Ce, De and Ee, according to Australian Standards. The above mentioned frames have been analysed under two different boundary conditions: (i) fixed-base (no soil-structure interaction) and (ii) flexible-base (considering soil-structure interaction). The results of the analyses in terms of structural displacements and drifts for the above mentioned boundary conditions have been compared and discussed. It is concluded that considering dynamic soil-structure interaction effects in seismic design of moment resisting building frames resting on soil classes De and Ee is essential.
Tabatabaiefar, SHR, Fatahi, B & Samali, B 2014, 'An empirical relationship to determine lateral seismic response of mid-rise building frames under influence of soil-structure interaction', STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS, vol. 23, no. 7, pp. 526-548.
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n this study, to determine the elastic and inelastic structural responses of mid-rise building frames under the influence of soilstructure interaction, three types of mid-rise moment-resisting building frames, including 5-storey, 10-storey and 15-storey buildings are selected. In addition, three soil types with the shear wave velocities less than 600m/s, representing soil classes Ce, De and Ee according to AS 1170.42007 (Earthquake action in Australia, Australian Standards), having three bedrock depths of 10m, 20m and 30m are adopted. The structural sections are designed after conducting nonlinear time history analysis, on the basis of both elastic method and inelastic procedure considering elastic-perfectly plastic behaviour ofstructural elements. The frame sections are modelled and analysed, employing finite difference method adopting FLAC2D software under two different boundary conditions: (a) fixed base (no soilstructure interaction) and (b) considering soilstructure interaction. Fully nonlinear dynamic analyses under the influence of different earthquake records are conducted, and the results in terms of the maximum lateral displacements and base shears for the above mentioned boundary conditions for both elastic and inelastic behaviours of the structural models are obtained, compared and discussed. With the results, a comprehensive empirical relationship is proposed to determine the lateral displacements of the mid-rise moment-resisting building frames under earthquake and the influence of soilstructure interaction.
Tabatabaiefar, SHR, Fatahi, B & Samali, B 2014, 'Numerical and Experimental Investigations on Seismic Response of Building Frames under Influence of Soil-Structure Interaction', ADVANCES IN STRUCTURAL ENGINEERING, vol. 17, no. 1, pp. 109-130.
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In this study, an enhanced numerical soil-structure model has been developed which treats the behaviour of soil and structure with equal rigour. The proposed numerical soil-structure model has been verified and validated by performing experimental shaking table tests. To achieve this goal, a series of experimental shaking table tests were performed on the physical fixed based (structure directly fixed on top of the shaking table) and flexible base (considering soil and structure) models under the influence of four scaled earthquake acceleration records and the results were measured. Comparing the experimental results with the numerical analysis predictions, it is noted that the numerical predictions and laboratory measurements are in a good agreement. Thus, the proposed numerical soil-structure model is a valid and qualified method of simulation with sufficient accuracy which can be employed for further numerical soil-structure interaction investigation studies. Based on the predicted and observed values of lateral deflections of fixed base and flexible base models, lateral deflections of the flexible base model have noticeably amplified in comparison to the fixed base model. As a result of the lateral deflection amplifications, it is observed that the performance level of the scaled structural model changed significantly which could be safety threatening.
Tafavogh, S, Catchpoole, DR & Kennedy, PJ 2014, 'Cellular quantitative analysis of neuroblastoma tumor and splitting overlapping cells', BMC BIOINFORMATICS, vol. 15, no. 1.
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© 2014 Tafavogh et al.; licensee BioMed Central Ltd. Background: Neuroblastoma Tumor (NT) is one of the most aggressive types of infant cancer. Essential to accurate diagnosis and prognosis is cellular quantitative analysis of the tumor. Counting enormous numbers of cells under an optical microscope is error-prone. There is therefore an urgent demand from pathologists for robust and automated cell counting systems. However, the main challenge in developing these systems is the inability of them to distinguish between overlapping cells and single cells, and to split the overlapping cells. We address this challenge in two stages by: 1) distinguishing overlapping cells from single cells using the morphological differences between them such as area, uniformity of diameters and cell concavity; and 2) splitting overlapping cells into single cells. We propose a novel approach by using the dominant concave regions of cells as markers to identify the overlap region. We then find the initial splitting points at the critical points of the concave regions by decomposing the concave regions into their components such as arcs, chords and edges, and the distance between the components is analyzed using the developed seed growing technique. Lastly, a shortest path determination approach is developed to determine the optimum splitting route between two candidate initial splitting points.Results: We compare the cell counting results of our system with those of a pathologist as the ground-truth. We also compare the system with three state-of-the-art methods, and the results of statistical tests show a significant improvement in the performance of our system compared to state-of-the-art methods. The F-measure obtained by our system is 88.70%. To evaluate the generalizability of our algorithm, we apply it to images of follicular lymphoma, which has similar histological regions to NT. Of the algorithms tested, our algorithm obtains the highest F-measure of 92.79%.Conclusion:...
Tahan Latibari, S, Mehrali, M, Mehrali, M, Mahlia, TMI & Metselaar, HSC 2014, 'Facile Preparation of Carbon Microcapsules Containing Phase-Change Material with Enhanced Thermal Properties', The Scientific World Journal, vol. 2014, pp. 1-5.
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This study describes the hydrothermal synthesis of a novel carbon/palmitic acid (PA) microencapsulated phase change material (MEPCM). The field emission scanning electron microscopy (FESEM) and high resolution transmission electron microscopy (HRTEM) images confirm that spherical capsules of uniform size were formed with a mean diameter of 6.42 μm. The melting and freezing temperature were found to be slightly lower than those of pure PA with little undercooling. The composite retained 75% of the latent heat of pure PA. Thermal stability of the MEPCM was found to be better than that of pure PA. The thermal conductivity of MEPCM was increased by as much as 41% at 30°C. Due to its good thermal properties and chemical and mechanical stability, the carbon/PA MEPCM displays a good potential for thermal energy storage systems.
Talatahari, E, Talatahari, S, Gandomi, AH & Yang, XS 2014, 'Advances of swarm intelligent systems in gene expression data classification', Journal of Multiple-Valued Logic and Soft Computing, vol. 22, no. 3, pp. 307-315.
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The step forward in the development of microarray technology of gene expression has created new opportunities in further exploration of living systems, source of disease and drug development and cancer biology. In the analysis of gene expression profiles, the number of tissue samples with genes expression levels available is usually small compared with the number of genes. This can lead either to possible overfitting and dimensionality curse or even to a complete failure in analysis of microarray data. So, the dramatic increase in genomic data volumes make it a challenging task to select genes that are really indicative of the tissue classification a key step to accurately pick out the information from such microarrays. On the other hand, in the last decades, swarm intelligent systems have gained much attention and wide applications in different fields such as solving the gene expression data classification problem. These algorithms are efficient in dealing with optimization issues, and they are also relatively simple to implement with the ability to fast converge to a reasonably good solution. They engage probabilistic rules instead of deterministic ones and require neither derivatives of cost function. In this paper, a hybrid algorithm based on swarm intelligence systems is utilized to classify gene expression data. ©2014 Old City Publishing, Inc.
Talatahari, S, Chen, S, Gandomi, AH & Alavi, AH 2014, 'Advances of Artificial Intelligence in Mechanical Engineering', Advances in Mechanical Engineering, vol. 6, pp. 843730-843730.
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Talatahari, S, Gandomi, AH & Yun, GJ 2014, 'Optimum design of tower structures using Firefly Algorithm', The Structural Design of Tall and Special Buildings, vol. 23, no. 5, pp. 350-361.
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SUMMARYThe Firefly Algorithm (FA) as a recent new meta‐heuristic optimization algorithm is developed for determining optimum design of tower shaped structures. The FA mimics the social behavior of fireflies, which communicate, search for pray and find mates using bioluminescence with varied flashing patterns. In this paper, an adaptive FA is presented that utilizes the feasible‐based method to handle constraints. This method is effective in improving the convergence and also suitable for expensive optimization tasks such as large‐scale structures. Three tower structures are selected to evaluate the performance of the algorithm. The results are better than the other results proposed in the literature and confirm the validity of the proposed algorithm. Copyright © 2012 John Wiley & Sons, Ltd.
Tan, M, Tsang, IW & Wang, L 2014, 'Towards ultrahigh dimensional feature selection for big data', Journal of Machine Learning Research, vol. 15, pp. 1371-1429.
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In this paper, we present a new adaptive feature scaling scheme for ultrahigh-dimensional feature selection on Big Data, and then reformulate it as a convex semi-infinite programming (SIP) problem. To address the SIP, we propose an eficient feature generating paradigm. Different from traditional gradient-based approaches that conduct optimization on all input features, the proposed paradigm iteratively activates a group of features, and solves a sequence of multiple kernel learning (MKL) subproblems. To further speed up the training, we propose to solve the MKL subproblems in their primal forms through a modified accelerated proximal gradient approach. Due to such optimization scheme, some eficient cache techniques are also developed. The feature generating paradigm is guaranteed to converge globally under mild conditions, and can achieve lower feature selection bias. Moreover, the proposed method can tackle two challenging tasks in feature selection: 1) group-based feature selection with complex structures, and 2) nonlinear feature selection with explicit feature mappings. Comprehensive experiments on a wide range of synthetic and real-world data sets of tens of million data points with O(1014) features demonstrate the competitive performance of the proposed method over state-of-the-art feature selection methods in terms of generalization performance and training eficiency. © 2014 Mingkui Tan, Ivor W. Tsang and Li Wang.
Tan, S, Ladewig, K, Fu, Q, Blencowe, A & Qiao, GG 2014, 'Cyclodextrin‐Based Supramolecular Assemblies and Hydrogels: Recent Advances and Future Perspectives', Macromolecular Rapid Communications, vol. 35, no. 13, pp. 1166-1184.
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The application of cyclodextrin (CD)‐based host–guest interactions towards the fabrication of functional supramolecular assemblies and hydrogels is of particular interest in the field of biomedicine. However, as of late they have found new applications as advanced functional materials (e.g., actuators and self‐healing materials), which have renewed interest across a wide range of fields. Advanced supramolecular materials synthesized using this noncovalent interaction, exhibit specificity and reversibility, which can be used to impart reversible cross‐linking, specific binding sites, and functionality. In this review, various functional CD‐based supramolecular assemblies and hydrogels will be outlined with the focus on recent advances. In addition, an outlook will be provided on the direction of this rapidly developing field.image
Tan, S, Wong, EHH, Fu, Q, Ren, JM, Sulistio, A, Ladewig, K, Blencowe, A & Qiao, GG 2014, 'Azobenzene-Functionalised Core Cross-Linked Star Polymers and their Host–Guest Interactions', Australian Journal of Chemistry, vol. 67, no. 1, pp. 173-173.
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Water-soluble poly(2-hydroxyethyl acrylate) (PHEA)-based core cross-linked star polymers were efficiently synthesised with high macroinitiator-to-star-conversion (>95 %) in a one-pot system via single electron transfer-living radical polymerisation. The star polymers display excellent water solubility and the pendant hydroxyl groups provide a platform for facile post-functionalisation with various molecules. In demonstrating this, a photo-isomerisable molecule, 4-(phenylazo)benzoic acid was conjugated onto the preformed stars through partial esterification of the available hydroxyl groups (5–20 %). The azobenzene functionalised stars were subsequently employed to form reversible inclusion complexes with α-cyclodextrin.
Tan, Z, Nagar, UT, He, X, Nanda, P, Liu, RP, Wang, S & Hu, J 2014, 'Enhancing Big Data Security with Collaborative Intrusion Detection', IEEE CLOUD COMPUTING, vol. 1, no. 3, pp. 27-33.
Tan, Z, Nagar, UT, He, X, Nanda, P, Liu, RP, Wang, S & Hu, J 2014, 'Enhancing Big Data Security with Collaborative Intrusion Detection', IEEE Cloud Computing, vol. 1, no. 3, pp. 27-33.
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© 2014 IEEE. Big data, often stored in cloud networks, is changing our business models and applications. Rich information residing in big data is driving business decision making to be a data-driven process. The security and privacy of this data, however, have always been a concern of the data owners. Securing cloud computing environments could strengthen data security and privacy. Doing so requires a comprehensive security solution, from attack prevention to attack detection. Intrusion detection systems (IDSs) are playing an increasingly important role in network security schemes. This article studies vulnerabilities in cloud computing and proposes a collaborative IDS framework to enhance the security and privacy of big data.
Tang, X & Lu, DD-C 2014, 'Enhancement of voltage quality in a passive network supplied by a VSC-HVDC transmission under disturbances', International Journal of Electrical Power & Energy Systems, vol. 54, pp. 45-54.
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Tauqeer, T, Afzal, MU, Butt, HT, Islam, M, Tarar, MA & Khawaja, BA 2014, 'Analytical comparison of wideband microstrip log-periodic and coplanar waveguide antennas', Microwave and Optical Technology Letters, vol. 56, no. 8, pp. 1854-1860.
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Tehrany, MS, Lee, M-J, Pradhan, B, Jebur, MN & Lee, S 2014, 'Flood susceptibility mapping using integrated bivariate and multivariate statistical models', Environmental Earth Sciences, vol. 72, no. 10, pp. 4001-4015.
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Tehrany, MS, Pradhan, B & Jebur, MN 2014, 'Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS', Journal of Hydrology, vol. 512, pp. 332-343.
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Tehrany, MS, Pradhan, B & Jebuv, MN 2014, 'A comparative assessment between object and pixel-based classification approaches for land use/land cover mapping using SPOT 5 imagery', Geocarto International, vol. 29, no. 4, pp. 351-369.
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Teng, Q, Bai, J, Zhu, J & Guo, Y 2014, 'Current sensorless model predictive torque control based on adaptive backstepping observer for PMSM drives', WSEAS Transactions on Systems, vol. 13, no. 1, pp. 187-202.
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A novel adaptive backstepping observer is proposed and model predictive torque control (MPTC) strategy is considered for three-phase permanent magnet synchronous motor (PMSM) drives without any current sensor. Generally, instantaneous stator currents are required for successful operation of MPTC. If the stator current sensors fail, the most common technique for reconstructing stator currents mainly focuses on using information from a single current sensor in the DC-link of an inverter. Nevertheless, the existence of immeasurable regions in the output voltage hexagon results in that the three-phase currents will not be reliably detected since one or more of the active state vectors are not applied long enough to insure accurate measurements. In addition, the technique may suffer from the very noisy of DC-link current feedback. To avoid these drawbacks, making use of the technique of adaptive backstepping, a novel observer is proposed. The designed observer can be capable of concurrent estimation of stator currents and resistance under the assumption that rotor speed and inverter output voltage as well as DC-link voltage are available for measurement. Stability and convergence of the observer are analytically verified based on Lyapunov stability theory. In order to reduce the torque & flux ripples and improve drives control performance, MPTC strategy is employed. The proposed algorithm is less complicated and its implement is relatively easy. It can ensure that the whole drives system achieves satisfactory torque & speed control and strong robustness. Extensive simulation validates the feasibility and effectiveness of the proposed scheme.
TENNAKOON, N & INDRARATNA, B 2014, 'Behaviour of clay-fouled ballast under cyclic loading', Géotechnique, vol. 64, no. 6, pp. 502-506.
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Expansion of the rail network in congested coastal Australia compels track construction on soft clayey subgrade, including fine-grained estuarine soils. In such low-lying areas, where the water table is close to the ground surface, the saturated soft subgrade is often subjected to pumping (mud slurry) under the application of cyclic wheel loads, thereby causing fouling of the overlying ballast. This technical note presents the results of a series of large-scale, drained, cyclic, triaxial tests conducted on clay-fouled ballast. The impact of fouling on the stress–strain behaviour, resilient modulus and degradation of ballast is discussed.
Tennakoon, N, Indraratna, B & Rujikiatkamjorn, C 2014, 'Effect of ballast contamination on the behaviour of track substructure', Australian Geomechanics Journal, vol. 49, no. 4, pp. 113-123.
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Ballast contamination by subgrade pumping and coal contamination is understood as major cause of track deterioration in many countries over the world. As contamination clogs the ballast voids, the drainage capacity of the track is compromised. Further, lubrication caused by these fines results in reducing load bearing capacity of the ballast layer. In this study, a series of large scale hydraulic conductivity and triaxial tests were performed to study the influence of contamination of ballast on its drainage and shear strength characteristics. Drainage capacity of the contaminated track under different level of contamination was determined, undertaking a numerical analysis using Seep/W. Shear strength of coal and clay contaminated ballast at different confining pressures were compared. Bearing capacity of contaminated track, using 'foundation under three layers' method was derived and plotted against the degree of contamination. Subsequently, the critical level of contamination by fouling materials such as clay and coal is discussed on the basis of hydraulic conductivity, shear strength and bearing capacity of the ballast.
Teoh, YH, Masjuki, HH, Kalam, MA, Amalina, MA & How, HG 2014, 'Impact of Premixed Kerosene Fuel on Performance, Emission and Combustion Characteristics in Partial HCCI Engine', Energy Procedia, vol. 61, pp. 1830-1834.
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Thapngam, T, Yu, S, Zhou, W & Makki, SK 2014, 'Distributed Denial of Service (DDoS) detection by traffic pattern analysis', Peer-to-Peer Networking and Applications, vol. 7, no. 4, pp. 346-358.
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Thi, TH, Wang, L, Ye, N, Zhang, J, Maurer-Stroh, S & Cheng, L 2014, 'Recognizing flu-like symptoms from videos', BMC Bioinformatics, vol. 15, no. 1, pp. 1-10.
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BACKGROUND: Vision-based surveillance and monitoring is a potential alternative for early detection of respiratory disease outbreaks in urban areas complementing molecular diagnostics and hospital and doctor visit-based alert systems. Visible actions representing typical flu-like symptoms include sneeze and cough that are associated with changing patterns of hand to head distances, among others. The technical difficulties lie in the high complexity and large variation of those actions as well as numerous similar background actions such as scratching head, cell phone use, eating, drinking and so on. RESULTS: In this paper, we make a first attempt at the challenging problem of recognizing flu-like symptoms from videos. Since there was no related dataset available, we created a new public health dataset for action recognition that includes two major flu-like symptom related actions (sneeze and cough) and a number of background actions. We also developed a suitable novel algorithm by introducing two types of Action Matching Kernels, where both types aim to integrate two aspects of local features, namely the space-time layout and the Bag-of-Words representations. In particular, we show that the Pyramid Match Kernel and Spatial Pyramid Matching are both special cases of our proposed kernels. Besides experimenting on standard testbed, the proposed algorithm is evaluated also on the new sneeze and cough set. Empirically, we observe that our approach achieves competitive performance compared to the state-of-the-arts, while recognition on the new public health dataset is shown to be a non-trivial task even with simple single person unobstructed view. CONCLUSIONS: Our sneeze and cough video dataset and newly developed action recognition algorithm is the first of its kind and aims to kick-start the field of action recognition of flu-like symptoms from videos. It will be challenging but necessary in future developments to consider more complex real-life scenario of detecting ...
Thwe, LM, Cantrill, LC, Catchpoole, DR, Lau, L & Byrne, JA 2014, 'Abstract B51: Extraction and analysis of genomic DNA from formalin-fixed paraffin-embedded neuroblastoma samples following laser capture microdissection', Cancer Research, vol. 74, no. 20_Supplement, pp. B51-B51.
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Abstract Introduction: Neuroblastoma (NB) is the most common extracranial solid tumor of infants. We constructed a tissue microarray (TMA) including 47 diagnostic NB cases and performed immunohistochemical (IHC) staining for a number of biomarkers. Differential IHC staining was identified between duplicate tissue cores for a proportion of NB cases. Differential IHC staining occurs frequently in cancer specimens, and can be due to technical factors, tissue artefacts, or underlying biological differences between tumor sub-regions. As laser capture microdissection (LCM) allows isolation of cells from formalin-fixed paraffin-embedded (FFPE) tissue slides, we applied LCM to FFPE NB samples, to investigate the basis of differential IHC staining. Material and Methods: NSE, NB84, ALK, TPD52 and MGMT proteins were detected within diagnostic NB TMA cores and whole NB sections using IHC. Cells were isolated from FFPE sections using LCM, and genomic DNA was extracted using the QIAamp DNA FFPE Tissue Kit. Extracted genomic DNA was quantified using a Nanodrop spectrophotometer, and DNA quality was assessed by a Bioanalyzer 2100. All DNA samples were tested using PCR with TPD52 and ALK primers. Results including clinical and sample variables were analysed using SPSS version 19. Results: Of 47 NB cases within the TMA, 35 cases were represented by duplicate tissue cores, whereas the remaining 12 cases were represented by single cores. IHC analysis of 5 biomarkers showed visually different IHC staining in tumour tissue between duplicate tissue cores in 15/35 (43%) cases. Whole tissue sections from 6 of these 15 cases were then examined, which reproduced differential IHC staining. Isolation of NB cells by LCM was successfully performed after substantial optimisation. A total of 14 regions from 8 NB cases were microdissected, producing DNA yields ranging from 0.1...
Tian, H, Li, W, Wang, L & Ogunbona, P 2014, 'Smoke Detection in Video: An Image Separation Approach', International Journal of Computer Vision, vol. 106, no. 2, pp. 192-209.
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Tijing, LD, Choi, J-S, Lee, S, Kim, S-H & Shon, HK 2014, 'Recent progress of membrane distillation using electrospun nanofibrous membrane', Journal of Membrane Science, vol. 453, pp. 435-462.
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Rapid population growth has resulted in imbalance in the supply and demand of fresh water for human consumption. As the sources of fresh water from surface water and fresh groundwater have been consistently depleting at an alarming rate, alternative sources such as seawater and brackish water are sought out. Desalination of water is considered as one of the most sustainable and best water resource alternatives. Membrane distillation (MD) is an emerging and promising technology for water desalination and purification. It presents many advantages over the common desalination technologies such as reverse osmosis. The two major factors hindering the application of MD are suitable membrane design and structure, and energy efficiency of the MD process. In recent years, membrane design has seen increasing research and interest. Advances in science and technology have led to new materials and techniques that could find potential application for membranes in MD. In the past few years, electrospinning of nanofibers has gained much interest and attention in their application for MD membrane, and so far has promising results. This review focuses on the recent progress in the application of nanofibrous membrane fabricated by electrospinning for MD application. © 2013 Elsevier B.V.
Tijing, LD, Woo, YC, Johir, MAH, Choi, J-S & Shon, HK 2014, 'A novel dual-layer bicomponent electrospun nanofibrous membrane for desalination by direct contact membrane distillation', CHEMICAL ENGINEERING JOURNAL, vol. 256, pp. 155-159.
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In this study, a bicomponent nanofibrous composite membrane was fabricated by electrospinning and was tested for desalination by direct contact membrane distillation (DCMD). The nanofibrous membrane was composed of a dual-layered structure of poly(vinylidene fluoride-co-hexafluoropropylene) (PH) nanofibers and polyacrylonitrile (PAN) microfibers. Morphological characterization showed slightly beaded cylindrical PH nanofibers with porosity of about 90%. The contact angles of PH and PAN nano/microfibers were 150 degrees and 100 degrees, respectively. The nanofibrous membranes were tested by DCMD and a high water flux of 45 and 30 L m(-2) h(-1) was obtained for distilled water and 35 g L-1 NaCl solutions as feed, respectively using DL2 membrane (i.e., 25/75 PH/PAN thickness ratio). The present dual-layer membrane showed better flux performance compared to a commercial flat-sheet membrane. The results suggest the potential of the dual-layer nanofibrous membrane for DCMD applications
To, AW-K, Paul, G & Liu, D 2014, 'Surface-Type Classification Using RGB-D.', IEEE Trans Autom. Sci. Eng., vol. 11, no. 2, pp. 359-366.
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This paper proposes an approach to improve surface-type classification of images containing inconsistently illuminated surfaces. When a mobile inspection robot is visually inspecting surface-types in a dark environment and a directional light source is used to illuminate the surfaces, the images captured may exhibit illumination variance that can be caused by the orientation and distance of the light source relative to the surfaces. In order to accurately classify the surface-types in these images, either the training image dataset needs to completely incorporate the illumination variance or a way to extract color features that can provide high classification accuracy needs to be identified. In this paper diffused reflectance values are extracted as new color features to classifying surface-types. In this approach, Red, Green, Blue-Depth (RGB-D) data is collected from the environment, and a reflectance model is used to calculate a diffused reflectance value for a pixel in each Red, Green, Blue (RGB) color channel. The diffused reflectance values can be used to train a multiclass support vector machine classifier to classify surface-types. Experiments are conducted in a mock bridge maintenance environment using a portable RGB-Depth sensor package with an attached light source to collect surface-type data. The performance of a classifier trained with diffused reflectance values is compared against classifiers trained with other color features including RGB and Lcolor spaces. Results show that the classifier trained with the diffused reflectance values can achieve consistently higher classification accuracy than the classifiers trained with RGB and Lab features. For test images containing a single surface plane, diffused reflectance values consistently provide greater than 90% classification accuracy; and for test images containing a complex scene with multiple surface-types and surface planes, diffused reflectance values are shown to provide an increase i...
Tofigh, F, Nourinia, J, Azarmanesh, M & Khazaei, KM 2014, 'Near-Field Focused Array Microstrip Planar Antenna for Medical Applications', IEEE Antennas and Wireless Propagation Letters, vol. 13, pp. 951-954.
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Tomamichel, M, Martinez-Mateo, J, Pacher, C & Elkouss, D 2014, 'Fundamental Finite Key Limits for One-Way Information Reconciliation in Quantum Key Distribution', Quantum Information Processing (2017) 16:280, vol. 16, no. 11.
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The security of quantum key distribution protocols is guaranteed by the lawsof quantum mechanics. However, a precise analysis of the security propertiesrequires tools from both classical cryptography and information theory. Here,we employ recent results in non-asymptotic classical information theory to showthat one-way information reconciliation imposes fundamental limitations on theamount of secret key that can be extracted in the finite key regime. Inparticular, we find that an often used approximation for the informationleakage during information reconciliation is not generally valid. We propose animproved approximation that takes into account finite key effects andnumerically test it against codes for two probability distributions, that wecall binary-binary and binary-Gaussian, that typically appear in quantum keydistribution protocols.
Tomamichel, M, Wilde, MM & Winter, A 2014, 'Strong converse rates for quantum communication', IEEE Transactions on Information Theory, vol. 63, no. 1, pages 715-727, January 2017, vol. 63, no. 1, pp. 715-727.
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We revisit a fundamental open problem in quantum information theory, namelywhether it is possible to transmit quantum information at a rate exceeding thechannel capacity if we allow for a non-vanishing probability of decoding error.Here we establish that the Rains information of any quantum channel is a strongconverse rate for quantum communication: For any sequence of codes with rateexceeding the Rains information of the channel, we show that the fidelityvanishes exponentially fast as the number of channel uses increases. Thisremains true even if we consider codes that perform classical post-processingon the transmitted quantum data. As an application of this result, forgeneralized dephasing channels we show that the Rains information is alsoachievable, and thereby establish the strong converse property for quantumcommunication over such channels. Thus we conclusively settle the strongconverse question for a class of quantum channels that have a non-trivialquantum capacity.
Tong, W, Yang, Y, Jiang, L, Yu, S-I, Lan, Z, Ma, Z, Sze, W, Younessian, E & Hauptmann, AG 2014, 'E-LAMP: integration of innovative ideas for multimedia event detection', Machine Vision and Applications, vol. 25, no. 1, pp. 5-15.
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Detecting multimedia events in web videos is an emerging hot research area in the fields of multimedia and computer vision. In this paper, we introduce the core methods and technologies of the framework we developed recently for our Event Labeling through Analytic Media Processing (E-LAMP) system to deal with different aspects of the overall problem of event detection. More specifically, we have developed efficient methods for feature extraction so that we are able to handle large collections of video data with thousands of hours of videos. Second, we represent the extracted raw features in a spatial bag-of-words model with more effective tilings such that the spatial layout information of different features and different events can be better captured, thus the overa ll detection performance can be improved. Third, different from widely used early and late fusion schemes, a novel algorithm is developed to learn a more robust and discriminative intermediate feature representation from multiple features so that better event models can be built upon it. Finally, to tackle the additional challenge of event detection with only very few positive exemplars, we have developed a novel algorithm which is able to effectively adapt the knowledge learnt from auxiliary sources to assist the event detection. Both our empirical results and the official evaluation results on TRECVID MED'11 and MED'12 demonstrate the excellent performance of the integration of these ideas. © 2013 Springer-Verlag Berlin Heidelberg.
Torghabeh, A, Rezaee, R, Moussavi-Harami, R, Pradhan, B, Kamali, M & Kadkhodaie-Ilkhchi, A 2014, 'Electrofacies in gas shale from well log data via cluster analysis: A case study of the Perth Basin, Western Australia', Open Geosciences, vol. 6, no. 3, pp. 393-402.
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AbstractIdentifying reservoir electrofacies has an important role in determining hydrocarbon bearing intervals. In this study, electrofacies of the Kockatea Formation in the Perth Basin were determined via cluster analysis. In this method, distance data were initially calculated and then connected spatially by using a linkage function. The dendrogram function was used to extract the cluster tree for formations over the study area. Input logs were sonic log (DT), gamma ray log (GR), resistivity log (IND), and spontaneous potential (SP). A total of 30 reservoir electrofacies were identified within this formation. Integrated geochemical and petrophysics data showed that zones with electrofacies 3, 4, 9, and 10 have potential for shale gas production. In addition, the results showed that cluster analysis is a precise, rapid, and cost-effective method for zoning reservoirs and determining electrofacies in hydrocarbon reservoirs.
Tran, B, Nguyen, ND, Center, JR, Eisman, JA & Nguyen, TV 2014, 'Association between fat‐mass‐and‐obesity‐associated (FTO) gene and hip fracture susceptibility', Clinical Endocrinology, vol. 81, no. 2, pp. 210-217.
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SummaryObjectiveCommon variants in the fat‐mass‐and‐obesity‐associated (FTO) gene are related to body mass index (BMI), which is a predictor of hip fracture risk. This study sought to examine the association between variants in the FTO gene and hip fracture risk.Design and participantsThis is a prospective study including 934 postmenopausal women aged 60 years and above living in Dubbo, Australia (Dubbo Osteoporosis Epidemiology Study), followed up between 1989 and 2007.MeasurementsSix single nucleotide polymorphisms (SNPs) (rs1421085, rs1558902, rs1121980, rs17817449, rs9939609 and rs9930506) of the FTO gene were genotyped using Taqman assay. Bone mineral density at the lumbar spine and femoral neck was measured by DXA (GE‐Lunar) at baseline. Incidence of hip fractures during the follow‐up was ascertained by reviewing X‐ray reports. We used Cox's models to estimate the association between the genetic variants and hip fracture risk. We also utilized Bayes factor to evaluate the association.ResultsOne hundred and two women (11%) had sustained a hip fracture. The incidence of hip fracture was greater in women homozygous for the minor allele of all SNP
Tran, NH, Nguyen, VT, Urase, T & Ngo, HH 2014, 'Role of nitrification in the biodegradation of selected artificial sweetening agents in biological wastewater treatment process', BIORESOURCE TECHNOLOGY, vol. 161, pp. 40-46.
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The biodegradation of the six artificial sweetening agents including acesulfame (ACE), aspartame (ASP), cyclamate (CYC), neohesperidindihydrochalcone (NHDC), saccharin (SAC), and sucralose (SUC) by nitrifying activated sludge was first examined. Experimental results showed that ASP and NHDC were the most easily degradable compounds even in the control tests. CYC and SAC were efficiently biodegraded by the nitrifying activated sludge, whereas ACE and SUC were poorly removed. However, the biodegradation efficiencies of the ASs were increased with the increase in initial ammonium concentrations in the bioreactors. The association between nitrification and co-metabolic degradation was investigated and a linear relationship between nitrification rate and co-metabolic biodegradation rate was observed for the target artificial sweeteners (ASs). The contribution of heterotrophic microorganisms and autotrophic ammonia oxidizers in biodegradation of the ASs was elucidated, of which autotrophic ammonia oxidizers played an important role in the biodegradation of the ASs, particularly with regards to ACE and SUC.
Tran, T & Ha, QP 2014, 'Decentralized Model Predictive Control for Networks of Linear Systems with Coupling Delay', JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, vol. 161, no. 3, pp. 933-950.
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This paper presents a new dissipativity-based decentralized model predictive control strategy for networks of linear systems suffering from a bounded coupling delay. The notion of delay-robust dissipativity is introduced and applied to the development of interconnection stability conditions. The dissipation inequality of system trajectories is converted into a prognostic stability constraint for the optimization problem of model predictive control to guarantee the system stability. A recursive feasibility condition is derived for the constrained optimization problem, which is formulated in a semi-definite program. A numerical example of an interconnected three-unit process system is provided for illustrations. © 2013 Springer Science+Business Media New York.
Trianni, A, Cagno, E & De Donatis, A 2014, 'A framework to characterize energy efficiency measures', Applied Energy, vol. 118, pp. 207-220.
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Tu, C, Zhu, H, Xu, Y & Lee, JE-Y 2014, 'Differential-capacitive-input and differential-piezoresistive-output enhanced transduction of a silicon bulk-mode microelectromechanical resonator', Sensors and Actuators A: Physical, vol. 210, pp. 41-50.
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Tu, E, Cao, L, Yang, J & Kasabov, N 2014, 'A novel graph-based k-means for nonlinear manifold clustering and representative selection', NEUROCOMPUTING, vol. 143, pp. 109-122.
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Tu, KL, Chivas, AR & Nghiem, LD 2014, 'Effects of chemical preservation on flux and solute rejection by reverse osmosis membranes', Journal of Membrane Science, vol. 472, pp. 202-209.
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Umar, Z, Pradhan, B, Ahmad, A, Jebur, MN & Tehrany, MS 2014, 'Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia', CATENA, vol. 118, pp. 124-135.
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Valipour, H, Khorsandnia, N, Crews, K & Foster, S 2014, 'A simple strategy for constitutive modelling of timber', CONSTRUCTION AND BUILDING MATERIALS, vol. 53, pp. 138-148.
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van den Hoven, E 2014, 'A future-proof past: Designing for remembering experiences', MEMORY STUDIES, vol. 7, no. 3, pp. 370-384.
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Personal remembering can be heavily influenced by the context in which it takes place, which includes external factors such as people, locations and things. These things can be physical, digital or a combination of both, such as digital photographs displayed on a physical screen. Together, these media and media carriers can act as memory cues, which in turn can be purposely created for the support of remembering experiences. The aim of this article is to show the challenges, potential and opportunities of this multidisciplinary research area, Materialising Memories, which creates interactive designs to be used in context. This will be illustrated through the presentation of two design case studies supporting photo sharing in everyday life: Cueb and 4Photos.
van den Hoven, E 2014, 'Remembering in everyday life: opportunities for design', Tijdschrift voor Human Factors, vol. 39, no. 4, pp. 31-34.
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Human remembering is a central and crucial aspect of our everyday lives, even though most of us are not aware of this. One might think that for remembering we only need to use our brains, but more and more evidence shows the outside world’sinfluence on our memory and memories, which provides us with lots of opportunitiesfor the future. In this paper the focus will lie on our physical and technologicalenvironment, and how these relate to remembering in the complexities of everydaylife. Human remembering will be explained and designed interventions will bepresented that have been created to support everyday remembering.
van den Hoven, E & Eggen, B 2014, 'The Cue Is Key Design for Real-Life Remembering', ZEITSCHRIFT FUR PSYCHOLOGIE-JOURNAL OF PSYCHOLOGY, vol. 222, no. 2, pp. 110-117.
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This paper aims to put the memory cue in the spotlight. We show how memory cues are incorporated in the area of interaction design. The focus is on external memory cues - cues that exist outside the human mind but have an internal effect on memory reconstruction. Examples of external cues include people, environments, and things, where the latter are most relevant for the aim of this paper since these cues can be incorporated in designs. This paper makes a dual contribution to research: (1) it provides insights into how memory research informs the design of devices to facilitate personal memory recall; and (2) by taking a design perspective, it raises questions about memory cues as part of real-life remembering to inform psychological memory research. Since memory theory inspires design and both fields would benefit from collaboration, we would like these questions to be an inspiration for future memory research, in particular targeting external memory cues.
van Emmerik, THM, Li, Z, Sivapalan, M, Pande, S, Kandasamy, J, Savenije, HHG, Chanan, A & Vigneswaran, S 2014, 'Socio-hydrologic modeling to understand and mediate the competition for water between agriculture development and environmental health: Murrumbidgee River basin, Australia', Hydrology and Earth System Sciences, vol. 18, no. 10, pp. 4239-4259.
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Abstract. Competition for water between humans and ecosystems is set to become a flash point in the coming decades in many parts of the world. An entirely new and comprehensive quantitative framework is needed to establish a holistic understanding of that competition, thereby enabling the development of effective mediation strategies. This paper presents a modeling study centered on the Murrumbidgee River basin (MRB). The MRB has witnessed a unique system dynamics over the last 100 years as a result of interactions between patterns of water management and climate driven hydrological variability. Data analysis has revealed a pendulum swing between agricultural development and restoration of environmental health and ecosystem services over different stages of basin-scale water resource development. A parsimonious, stylized, quasi-distributed coupled socio-hydrologic system model that simulates the two-way coupling between human and hydrological systems of the MRB is used to mimic and explain dominant features of the pendulum swing. The model consists of coupled nonlinear ordinary differential equations that describe the interaction between five state variables that govern the co-evolution: reservoir storage, irrigated area, human population, ecosystem health, and environmental awareness. The model simulations track the propagation of the external climatic and socio-economic drivers through this coupled, complex system to the emergence of the pendulum swing. The model results point to a competition between human 'productive' and environmental 'restorative' forces that underpin the pendulum swing. Both the forces are endogenous, i.e., generated by the system dynamics in response to external drivers and mediated by humans through technology change and environmental awareness, respectively. Sensitivity analysis carried out with the model further reveals that socio-hydrologic modeling can be used as a tool to explain or gain insight into observed co-ev...
Vinod, JS, Hyodo, M, Indraratna, B & Miller, R 2014, 'DEM modelling of methane hydrate bearing sand', Australian Geomechanics Journal, vol. 49, no. 4, pp. 175-182.
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Methane gas hydrates are crystalline compounds formed from water and methane under certain pressure and temperature. They are mostly found in marine continental margin sediments and beneath the permafrost and considered as the future non-conventional energy resource. In order to develop innovative techniques for the safe extraction of methane gas from Methane Hydrate (MH) it is important to understand the shear behaviour of methane hydrate bearing sand. It has been reported that the pore scale habits of MH have a significant influence on the shear behaviour of methane hydrate bearing sand. In this paper, an attempt has been made to capture the effect of pore scale habits on the shear behaviour of methane hydrate bearing sand using the Discrete Element Method. Two modelling approaches (i) pore filling, leading to load bearing, and (ii) cementation, bonding of the interparticle contact, have been simulated using PFC3D. A series of triaxial monotonic tests were carried on an assembly of particles for different methane hydrate saturations. Both the approaches have captured, qualitatively, the stress ratio-axial strain behaviour similar to the laboratory experiments. The DEM simulation results highlight that MH saturation has a profound influence on the shear behaviour of hydrate bearing sand. It was shown that the cementation habit closely captures the variation of peak deviator stress with MH saturation similar to the laboratory experiments. Moreover, the evolution of micro-mechanical parameter (e.g. contact force and bond breakage) during shear loading has been presented and discussed.
Vo, PT, Ngo, HH, Guo, W, Zhou, JL, Nguyen, PD, Listowski, A & Wang, XC 2014, 'A mini-review on the impacts of climate change on wastewater reclamation and reuse', SCIENCE OF THE TOTAL ENVIRONMENT, vol. 494, pp. 9-17.
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© 2014 Elsevier B.V. To tackle current water insecurity concerns, wastewater reclamation and reuse have appeared as a promising candidate to conserve the valuable fresh water sources while increasing the efficiency of material utilization. Climate change, nevertheless, poses both opportunities and threats to the wastewater reclamation industry. Whereas it elevates the social perception on water-related issues and fosters an emerging water-reuse market, climate change simultaneously presents adverse impacts on the water reclamation scheme, either directly or indirectly. These effects were studied fragmentally in separate realms. Hence, this paper aims to link these studies for providing a thorough understanding about the consequences of the climate change on the wastewater reclamation and reuse. It initially summarizes contemporary treatment processes and their reuse purposes before carrying out a systematic analysis of available findings.
Voinov, A & Filatova, T 2014, 'Pricing strategies in inelastic energy markets: can we use less if we can’t extract more?', Frontiers of Earth Science, vol. 8, no. 1, pp. 3-17.
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Voinov, A, Seppelt, R, Reis, S, Nabel, JEMS & Shokravi, S 2014, 'Values in socio-environmental modelling: Persuasion for action or excuse for inaction', Environmental Modelling & Software, vol. 53, pp. 207-212.
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Wakil, MA, Kalam, MA, Masjuki, HH, Rizwanul Fattah, IM & Masum, BM 2014, 'Evaluation of rice bran, sesame and moringa oils as feasible sources of biodiesel and the effect of blending on their physicochemical properties', RSC Adv., vol. 4, no. 100, pp. 56984-56991.
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Development of a mathematical model for predicting important properties of biodiesel blends.
Wang, B, Xia, X & Zhang, J 2014, 'A multi-objective optimization model for the life-cycle cost analysis and retrofitting planning of buildings', Energy and Buildings, vol. 77, pp. 227-235.
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Wang, C, Cao, L, Gaussier, E, Li, J, Ou, Y & Luo, D 2014, 'Coupled Behavior Representation, Modeling, Analysis, and Reasoning', IEEE INTELLIGENT SYSTEMS, vol. 29, no. 4, pp. 66-69.
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Behavior refers to the action, reaction,
or property of an entity, human or otherwise,
to situations or stimuli in its
environment.1 The in-depth analysis
of behavior has been increasingly recognized
as a crucial means for understanding
and disclosing interior driving
forces and intrinsic cause-effects
on business and social applications,
including Web community analysis,
counter-terrorism, fraud detection,
and customer relationship management.
With the deepening and widening
of social/business intelligences and
their networking, the concept of behavior
is in great demand to be consolidated
and formalized to deeply
scrutinize the native behavior intention,
lifecycle, and impact on complex
problems and business issues.
Although there’s an emerging focus
on deep behavior studies, such as social
network analysis,2 periodic behavior
analysis3 and behavior informatics
approach,1 previous research work has
mainly focused on individual behaviors
without considering the interactions of
them. However, with increasing network
and community-based events
as well as their applications, such as
group-based crime and social network
interactions, coupling relationships between
behaviors contribute to the intrinsic
causes and impacts of eventual
business and social problems. In the real-world applications, group behavior
interactions (that is, coupled behaviors)
are widely seen in natural, social,
and artificial behavior-related problems.
Complex behavior and social applications
often exhibit strong explicit
or implicit coupling relationships both
between their entities and properties.
Moreover, it’s also quite difficult to
model, analyze, and check behaviors
coupled with one another due to the
complexity from data, domain, context,
and impact perspectives.
Due to the emerging popularity and
importance of coupled behaviors, the
representation, modeling, analysis,
mining and learning, and determination
of coupled behaviors are becoming
increasingly essential yet challenging
in ub...
Wang, C, Gao, W, Song, C & Zhang, N 2014, 'Stochastic interval analysis of natural frequency and mode shape of structures with uncertainties', Journal of Sound and Vibration, vol. 333, no. 9, pp. 2483-2503.
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Wang, C, Peng, Q, Wu, J, He, X, Tong, L, Luo, Q, Li, J, Moody, S, Liu, H, Wang, R, Du, S & Li, Y 2014, 'Mechanical characteristics of individual multi-layer graphene-oxide sheets under direct tensile loading', Carbon, vol. 80, pp. 279-289.
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Wang, D, Yuan, C, Sun, Y, Zhang, J & Jin, X 2014, 'A fast mode decision algorithm applied to Coarse-Grain quality Scalable Video Coding', Journal of Visual Communication and Image Representation, vol. 25, no. 7, pp. 1631-1639.
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© 2014 Elsevier Inc. All rights reserved. A fast mode decision algorithm is proposed for a Coarse-Grain Scalable (CGS) video encoder based on the encoding characteristics of quality Scalable Video Coding (SVC). First, candidate modes and coding orders are predicted, based on inter-layer and spatial correlations. Three early termination methods are then proposed based on CGS encoding structure. Finally, all candidate modes are checked sequentially, according to their predicted order with three early termination conditions, to improve the coding speed. Experimental results have demonstrated that the proposed algorithm could reduce the encoding time by an average of 84.39%, with negligible coding efficiency losses.
Wang, G-G, Gandomi, AH & Alavi, AH 2014, 'An effective krill herd algorithm with migration operator in biogeography-based optimization', Applied Mathematical Modelling, vol. 38, no. 9-10, pp. 2454-2462.
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Krill herd (KH) is a novel search heuristic method. To improve its performance, a biogeography-based krill herd (BBKH) algorithm is presented for solving complex optimization tasks. The improvement involves introducing a new krill migration (KM) operator when the krill updating to deal with optimization problems more efficiently. The KM operator emphasizes the exploitation and lets the krill cluster around the best solutions at the later run phase of the search. The effects of these enhancements are tested by various well-defined benchmark functions. Based on the experimental results, this novel BBKH approach performs better than the basic KH and other optimization algorithms. © 2013 Elsevier Inc.
Wang, G-G, Gandomi, AH & Alavi, AH 2014, 'Stud krill herd algorithm', Neurocomputing, vol. 128, pp. 363-370.
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Wang, G-G, Gandomi, AH, Alavi, AH & Hao, G-S 2014, 'Hybrid krill herd algorithm with differential evolution for global numerical optimization', Neural Computing and Applications, vol. 25, no. 2, pp. 297-308.
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Wang, G-G, Guo, L, Gandomi, AH, Hao, G-S & Wang, H 2014, 'Chaotic Krill Herd algorithm', Information Sciences, vol. 274, pp. 17-34.
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Recently, Gandomi and Alavi proposed a meta-heuristic optimization algorithm, called Krill Herd (KH). This paper introduces the chaos theory into the KH optimization process with the aim of accelerating its global convergence speed. Various chaotic maps are considered in the proposed chaotic KH (CKH) method to adjust the three main movements of the krill in the optimization process. Several test problems are utilized to evaluate the performance of CKH. The results show that the performance of CKH, with an appropriate chaotic map, is better than or comparable with the KH and other robust optimization approaches. © 2014 Elsevier Inc. All rights reserved.
Wang, G-G, Hossein Gandomi, A, Yang, X-S & Hossein Alavi, A 2014, 'A novel improved accelerated particle swarm optimization algorithm for global numerical optimization', Engineering Computations, vol. 31, no. 7, pp. 1198-1220.
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Purpose – Meta-heuristic algorithms are efficient in achieving the optimal solution for engineering problems. Hybridization of different algorithms may enhance the quality of the solutions and improve the efficiency of the algorithms. The purpose of this paper is to propose a novel, robust hybrid meta-heuristic optimization approach by adding differential evolution (DE) mutation operator to the accelerated particle swarm optimization (APSO) algorithm to solve numerical optimization problems. Design/methodology/approach – The improvement includes the addition of DE mutation operator to the APSO updating equations so as to speed up convergence. Findings – A new optimization method is proposed by introducing DE-type mutation into APSO, and the hybrid algorithm is called differential evolution accelerated particle swarm optimization (DPSO). The difference between DPSO and APSO is that the mutation operator is employed to fine-tune the newly generated solution for each particle, rather than random walks used in APSO. Originality/value – A novel hybrid method is proposed and used to optimize 51 functions. It is compared with other methods to show its effectiveness. The effect of the DPSO parameters on convergence and performance is also studied and analyzed by detailed parameter sensitivity studies.
Wang, H, Xu, Y & Merigó, JM 2014, 'Prioritized aggregation for non-homogeneous group decision making in water resource management', Economic Computation and Economic Cybernetics Studies and Research, vol. 48, no. 1, pp. 247-257.
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This paper deals with non-homogeneous group decision making problems in water resource management, in which there exists a prioritization of decision makers. The group decision makers are partitioned into three sets: the officials from government, the experts in water resource management, the users of water resources. There exists a prioritization relationship over the different sets of decision makers. In order to aggregate a collective preference based on the aggregation of different individual preferences, we suggest that prioritization between decision makers can modeled by making the weights associated with a decision maker dependent upon the satisfaction of the higher priority decision maker. Then, a so-called prioritized weighted aggregation operator based on ordered weighted averaging (OWA) is utilized to aggregate the preference values provided by different decision makers. Finally, an application in water resource management is provided to illustrate the usefulness and how the prioritized aggregation works in practice.
Wang, J, Xu, M, He, X, Lu, H & Hoang, D 2014, 'A hybrid domain enhanced framework for video retargeting with spatial–temporal importance and 3D grid optimization', Signal Processing, vol. 94, pp. 33-47.
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Recently, a ubiquitous video access is highly demanded for online video applications. One big challenge is that video service needs to adapt different device capabilities. Pervasive multimedia devices require an accurate and user comfort video retargeting. Letting users see their preferred content accurately directly affects their comforts. User preferences on video contents are different in various video domains. In this paper, we present a hybrid framework of video retargeting with a domain enhanced spatial-temporal grid optimisation. First, we parse videos from low-level features to high-level visual concepts, combining with visual attention for an accurate importance description. Second, a semantic importance map is built up representing the spatial importance and temporal continuity, which is incorporated with a 3D rectilinear grid scaleplate to map frames to a target display, thereby keeping the aspect ratio of semantically salient objects as well as the perceptual coherency. Extensive evaluations are made on five typical video genres, i.e. sports, advertisements, lecture, news and surveillance. The comparison with the state-of-the-art approaches on both images and videos have demonstrated the advantages of the proposed approach.
Wang, M, Khalilpour, R & Abbas, A 2014, 'Thermodynamic and economic optimization of LNG mixed refrigerant processes', Energy Conversion and Management, vol. 88, pp. 947-961.
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Wang, Q, Jiang, G, Ye, L & Yuan, Z 2014, 'Enhancing methane production from waste activated sludge using combined free nitrous acid and heat pre-treatment', Water Research, vol. 63, pp. 71-80.
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Wang, Q, Jiang, G, Ye, L, Pijuan, M & Yuan, Z 2014, 'Heterotrophic denitrification plays an important role in N2O production from nitritation reactors treating anaerobic sludge digestion liquor', Water Research, vol. 62, pp. 202-210.
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Wang, Q, Ye, L, Jiang, G, Hu, S & Yuan, Z 2014, 'Side-stream sludge treatment using free nitrous acid selectively eliminates nitrite oxidizing bacteria and achieves the nitrite pathway', Water Research, vol. 55, pp. 245-255.
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Wang, RM, Hamilton, TJ, Tapson, JC & van Schaik, A 2014, 'A mixed-signal implementation of a polychronous spiking neural network with delay adaptation', Frontiers in Neuroscience, vol. 8, no. 8 MAR.
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We present a mixed-signal implementation of a re-configurable polychronous spiking neural network capable of storing and recalling spatio-temporal patterns. The proposed neural network contains one neuron array and one axon array. Spike Timing Dependent Delay Plasticity is used to fine-tune delays and add dynamics to the network. In our mixed-signal implementation, the neurons and axons have been implemented as both analog and digital circuits. The system thus consists of one FPGA, containing the digital neuron array and the digital axon array, and one analog IC containing the analog neuron array and the analog axon array. The system can be easily configured to use different combinations of each. We present and discuss the experimental results of all combinations of the analog and digital axon arrays and the analog and digital neuron arrays. The test results show that the proposed neural network is capable of successfully recalling more than 85% of stored patterns using both analog and digital circuits. © 2014 Wang, Hamilton, Tapson and van Schaik.
Wang, S, Ma, Z, Yang, Y, Li, X, Pang, C & Hauptmann, AG 2014, 'Semi-Supervised Multiple Feature Analysis for Action Recognition', IEEE Transactions on Multimedia, vol. 16, no. 2, pp. 289-298.
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This paper presents a semi-supervised method for categorizing human actions using multiple visual features. The proposed algorithm simultaneously learns multiple features from a small number of labeled videos, and automatically utilizes data distributions between labeled and unlabeled data to boost the recognition performance. Shared structural analysis is applied in our approach to discover a common subspace shared by each type of feature. In the subspace, the proposed algorithm is able to characterize more discriminative information of each feature type. Additionally, data distribution information of each type of feature has been preserved. The aforementioned attributes make our algorithm robust for action recognition, especially when only limited labeled training samples are provided. Extensive experiments have been conducted on both the choreographed and the realistic video datasets, including KTH, Youtube action and UCF50. Experimental results show that our method outperforms several state-of-the-art algorithms. Most notably, much better performances have been achieved when there are only a few labeled training samples. © 1999-2012 IEEE.
Wang, SY, Sloan, SW, Sheng, DC, Yang, SQ & Tang, CA 2014, 'Numerical study of failure behaviour of pre-cracked rock specimens under conventional triaxial compression', International Journal of Solids and Structures, vol. 51, no. 5, pp. 1132-1148.
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Wang, X, Zhang, Y, Zhang, W, Lin, X & Wang, W 2014, 'Selectivity estimation on streaming spatio-textual data using local correlations', Proceedings of the VLDB Endowment, vol. 8, no. 2, pp. 101-112.
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In this paper, we investigate the selectivity estimation problem for streaming spatio-textual data, which arises in many social network and geo-location applications. Specifically, given a set of continuously and rapidly arriving spatio-textual objects, each of which is described by a geo-location and a short text, we aim to accurately estimate the cardinality of a spatial keyword query on objects seen so far, where a spatial keyword query consists of a search region and a set of query keywords. To the best of our knowledge, this is the first work to address this important problem. We first extend two existing techniques to solve this problem, and show their limitations. Inspired by two key observations on the 'locality' of the correlations among query keywords, we propose a local correlation based method by utilizing an augmented adaptive space partition tree ( A 2 SP -tree for short) to approximately learn a local Bayesian network on-the-fly for a given query and estimate its selectivity. A novel local boosting approach is presented to further enhance the learning accuracy of local Bayesian networks. Our comprehensive experiments on real-life datasets demonstrate the superior performance of the local correlation based algorithm in terms of estimation accuracy compared to other competitors.
Wang, Y, Luo, Z, Zhang, N & Kang, Z 2014, 'Topological shape optimization of microstructural metamaterials using a level set method', Computational Materials Science, vol. 87, pp. 178-186.
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Metamaterials usually refer to artificial composite materials consisting of an array of periodically arranged microstructures, engineered to provide unusual material properties that may not be easily found in nature. This paper proposes a new topological shape optimization method for systematic computational design of a type of mechanical metamaterials with negative Poissons ratios (auxetic materials), which integrates the numerical homogenization approach into a powerful parametric level set method (PLSM).
Wang, Y, Luo, Z, Zhang, X & Kang, Z 2014, 'Topological design of compliant smart structures with embedded movable actuators', Smart Materials and Structures, vol. 23, no. 4, pp. 045024-045024.
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In the optimal configuration design of piezoelectric smart structures, it is favorable to use actuation elements with certain predefined geometries from the viewpoint of manufacturability of fragile piezoelectric ceramics in practical applications. However, preserving the exact shape of these embedded actuators and tracking their dynamic motions presents a more challenging research task than merely allowing them to take arbitrary shapes. This paper proposes an integrated topology optimization method for the systematic design of compliant smart structures with embedded movable PZT (lead zirconate titanate) actuators. Compared with most existing studies, which either optimize positions/sizes of the actuators in a given host structure or design the host structure with pre-determined actuator locations, the proposed method simultaneously optimizes the positions of the movable PZT actuators and the topology of the host structure, typically a compliant mechanism for amplifying the small strain stroke. A combined topological description model is employed in the optimization, where the level set model is used to track the movements of the PZT actuators and the independent point-wise density interpolation (iPDI) approach is utilized to search for the optimal topology of the host structure. Furthermore, we define an integral-type constraint function to prevent overlaps between the PZT actuators and between the actuators and the external boundaries of the design domain. Such a constraint provides a unified and explicit mathematical statement of the non-overlap condition for any number of arbitrarily shaped embedded actuators. Several numerical examples are used to demonstrate the effectiveness of the proposed optimization method. © 2014 IOP Publishing Ltd.
Wang, Y-K, Chen, S-A & Lin, C-T 2014, 'An EEG-based brain–computer interface for dual task driving detection', Neurocomputing, vol. 129, pp. 85-93.
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The development of brain-computer interfaces (BCI) for multiple applications has undergone extensive growth in recent years. Since distracted driving is a significant cause of traffic accidents, this study proposes one BCI system based on EEG for distracted driving. The removal of artifacts and the selection of useful brain sources are the essential and critical steps in the application of electroencephalography (EEG)-based BCI. In the first model, artifacts are removed, and useful brain sources are selected based on the independent component analysis (ICA). In the second model, all distracted and concentrated EEG epochs are recognized with a self-organizing map (SOM). This BCI system automatically identified independent components with artifacts for removal and detected distracted driving through the specific brain sources which are also selected automatically. The accuracy of the proposed system approached approximately 90% for the recognition of EEG epochs of distracted and concentrated driving according to the selected frontal and left motor components. © 2013.
Wang, Z, Liu, F, Wu, J & Wang, J 2014, 'A Hybrid Forecasting Model Based on Bivariate Division and a Backpropagation Artificial Neural Network Optimized by Chaos Particle Swarm Optimization for Day-Ahead Electricity Price', Abstract and Applied Analysis, vol. 2014, pp. 1-31.
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In the electricity market, the electricity price plays an inevitable role. Nevertheless, accurate price forecasting, a vital factor affecting both government regulatory agencies and public power companies, remains a huge challenge and a critical problem. Determining how to address the accurate forecasting problem becomes an even more significant task in an era in which electricity is increasingly important. Based on the chaos particle swarm optimization (CPSO), the backpropagation artificial neural network (BPANN), and the idea of bivariate division, this paper proposes a bivariate division BPANN (BD-BPANN) method and the CPSO-BD-BPANN method for forecasting electricity price. The former method creatively transforms the electricity demand and price to be a new variable, named DV, which is calculated using the division principle, to forecast the day-ahead electricity by multiplying the forecasted values of the DVs and forecasted values of the demand. Next, to improve the accuracy of BD-BPANN, chaos particle swarm optimization and BD-BPANN are synthesized to form a novel model, CPSO-BD-BPANN. In this study, CPSO is utilized to optimize the initial parameters of BD-BPANN to make its output more stable than the original model. Finally, two forecasting strategies are proposed regarding different situations.
Warkiani, ME, Guan, G, Luan, KB, Lee, WC, Bhagat, AAS, Kant Chaudhuri, P, Tan, DS-W, Lim, WT, Lee, SC, Chen, PCY, Lim, CT & Han, J 2014, 'Slanted spiral microfluidics for the ultra-fast, label-free isolation of circulating tumor cells', Lab Chip, vol. 14, no. 1, pp. 128-137.
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Warkiani, ME, Khoo, BL, Tan, DS-W, Bhagat, AAS, Lim, W-T, Yap, YS, Lee, SC, Soo, RA, Han, J & Lim, CT 2014, 'An ultra-high-throughput spiral microfluidic biochip for the enrichment of circulating tumor cells', The Analyst, vol. 139, no. 13, pp. 3245-3255.
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We demonstrate the high-throughput and high-resolution separation of rare circulating tumor cells (CTCs) from blood using a multiplexed spiral microfluidic device.
Wattana, S 2014, 'Bioenergy Development in Thailand: Challenges and Strategies', Energy Procedia, vol. 52, no. 2, pp. 506-515.
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Thailand is one of the most dynamic countries in South-east Asia. Energy has traditionally played a vital role in its economic growth. Currently, over 50% of the energy consumption in Thailand is imported. The energy demands are expected to increase by approximately 4.5% per year over the next decade. The future economic prosperity is, therefore, dependent on the provision of adequate energy. In order to ensure such provision, effective national energy policies would be needed. This is likely to be a challenging task. This paper examines if the current energy policies are adequate to meet this challenge. The examination reveals that the current policies are not adequate. This paper further recommends the need to develop a comprehensive framework that could be used to analyse the economy-wide impacts which could provide guidance for the development of appropriate energy policies.
Wazirali, RA, Alzughaibi, AD & Chaczko, Z 2014, 'Adaptation of Evolutionary Algorithms for Decision Making on Building Construction Engineering (TSP Problem)', International Journal of Electronics and Telecommunications, vol. 60, no. 1, pp. 113-116.
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Abstract The report revolve on building construction engineering and management, in which there are a lot of requirements such as well supervision and accuracy and being in position to forecast uncertainties that may arise and mechanisms to solve them. It also focuses on the way the building and construction can minimise the cost of building and wastages of materials. The project will be based of heuristic methods of Artificial Intelligence (AI). There are various evolution methods, but report focus on two experiments Pattern Recognition and Travelling Salesman Problem (TSP). The Pattern Recognition focuses Evolutionary Support Vector Machine Inference System for Construction Management. The construction is very dynamic are has a lot of uncertainties, no exact data this implies that the inference should change according to the environment so that it can fit the reality, therefore there a need of Support Vector Machine Inference System to solve these problems. TSP focus on reducing cost of building construction engineering and also reduces material wastages, through its principals of finding the minimum cost path of the salesman.
Wei, B, Jin, Z, Zowghi, D & Yin, B 2014, 'Implementation decision making for internetware driven by quality requirements', Science China Information Sciences, vol. 57, no. 7, pp. 1-19.
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Internetware is an emerging software paradigm in the open, dynamic and ever-changing Internet environment. A successful internetware must demonstrate acceptable degree of quality when carrying out its functionality. Hence, when internetware is being dynamically constructed, making implementation decisions to satisfice the quality requirements becomes a critical issue. In the traditional software engineering, quality requirements are usually refined stepwise by sub-requirements utilizing goal modeling perspective, until some potential functional design alternatives are identified. The goal-oriented paradigms have adopted graphical goal models to reason about quality requirements and proposed qualitative or quantitative reasoning schemas. However, these techniques may become unviable due to the ever-changing operating environment and demands for run-time decision making. In this paper, we propose an approach for implementation decision making driven by quality requirements for internetware. It focuses on the symbolic formula representation of requirements goal models with the tree structure, which is of well-defined syntax and clear traceability. Furthermore, we explore some reasoning rules which effectively automate each reasoning action on the formulae. This supports multiple-factor decision making. A case study is also provided to illustrate our proposed approach. We have developed a supporting tool based on our theoretical approach that we also present in this paper. © 2014 Science China Press and Springer-Verlag Berlin Heidelberg.
Wei, D, Lu, H, Jiang, Z & Manabe, K-I 2014, 'Surface Morphology of Micro Stepped Components in Micro Cross Wedge Rolling', Procedia Engineering, vol. 81, pp. 1902-1908.
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A novel microforming process - Micro Cross Wedge Rolling has been proposed, which is very promising in producing micro stepped components. It is inevitable to confront with huge challenges in the development of micro cross wedge rolling technology. The influences of miniaturization, especially size effect, on process, accuracy control and product quality have to be studied. A micro cross wedge rolling testing rig has been designed and manufactured. Micro stepped components have been fabricated successfully by adopting flat wedge tools on this rig. The effects of surface roughness of tool, grain size in workpiece and cross sectional area reduction on surface morphology of rolled workpiece have been investigated.
Wei, DB, Lu, HN, Jiang, ZY & Manabe, K 2014, 'Optimization of Micro Cross Wedge Rolling and Surface Morphology of Micro Stepped Components', Key Engineering Materials, vol. 622-623, pp. 964-969.
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A novel microforming process - Micro Cross Wedge Rolling (MCWR) has been developed, which is promising for fabricating micro stepped components used in micro electro-mechanical systems. Numerical simulations have been established and the effect of geometrical and process parameters such as forming angle α, stretching angle β and reduction ΔA have been studied. Micro stepped components have been fabricated successfully on a MCWR testing rig by adopting flat wedge tools. The effects of initial surface roughness of tool, grain size and cross section area reduction on surface morphology have been assessed quantitatively.
Wei, F, Guo, YJ, Qin, P-Y & Shi, XW 2014, 'WIDEBAND BANDPASS FILTER WITH A BROAD STOPBAND BASED ON A TRIPLE-MODE STUB-LOADED RESONATOR', MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, vol. 56, no. 12, pp. 2878-2881.
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A compact wideband bandpass filter (BPF) with a broad stopband (4.1 f0) based on a triple-mode stub-loaded resonator (SLR) is presented in this article. Using even/odd mode analysis, the proposed SLR is found to have the ability to introduce three transmission poles in the passband. By appropriately adjusting the frequencies of these transmission poles and using a 0° tapped feed structure, the BPF can provide a wide passband and a sharp rejection over a broad stopband without using other lowpass or bandstop networks. The predicted results on S-parameters are compared with measured ones and good agreement is achieved. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:2878–2881, 2014
Wei, F, Jay Guo, Y & Shi, XW 2014, 'Compact balanced UWB bandpass filter with one narrow notched band', Microwave and Optical Technology Letters, vol. 56, no. 7, pp. 1626-1629.
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ABSTRACTA compact balanced ultra‐wideband bandpass filter (BPF) with one sharply notched band is presented in this article. The proposed BPF based on microstrip‐to‐slotline transition obtains favorable uniform differential‐mode response and good common‐mode suppression. Moreover, one narrow notched band with a 3 dB bandwidth of 6.8% is realized by introducing one coupled half‐wavelength resonator. The fabricated filter has a more than 25% size reduction compared to the designs reported in open literature. The predicted results are compared with measured ones and good agreement is achieved. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:1626–1629, 2014
Wen, S, Jiang, J, Xiang, Y, Yu, S & Zhou, W 2014, 'Are the Popular Users Always Important for Information Dissemination in Online Social Networks?', IEEE NETWORK, vol. 28, no. 5, pp. 64-67.
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Wen, S, Jiang, J, Xiang, Y, Yu, S, Zhou, W & Jia, W 2014, 'To Shut Them Up or to Clarify: Restraining the Spread of Rumors in Online Social Networks', IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, vol. 25, no. 12, pp. 3306-3316.
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Wen, S, Zeng, Z, Huang, T & Zhang, Y 2014, 'Exponential Adaptive Lag Synchronization of Memristive Neural Networks via Fuzzy Method and Applications in Pseudorandom Number Generators', IEEE Transactions on Fuzzy Systems, vol. 22, no. 6, pp. 1704-1713.
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Wiebe, N, Granade, C, Ferrie, C & Cory, D 2014, 'Quantum Hamiltonian learning using imperfect quantum resources', Physical Review A, vol. 89, no. 4.
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Wiebe, N, Granade, C, Ferrie, C & Cory, DG 2014, 'Hamiltonian Learning and Certification Using Quantum Resources', Physical Review Letters, vol. 112, no. 19.
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Wiegand, M, Konrad, B, Sousanabady, RJ, Willats, P & Deuse, J 2014, 'Quantification of variability by use of big data technology', Productivity Management, vol. 19, no. 5, pp. 35-38.
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Low variability is a major prerequisite in order to successfully implement methods of lean production. Yet, in practice minimizing and controlling variability cannot be achieved to a sufficient level. Therefore, this paper presents a new approach for a production management scheme of highly variable production systems, which is based on technologies and methods of Big Data Analysis.
Wijekoon, KC, Hai, FI, Kang, J, Price, WE, Cath, TY & Nghiem, LD 2014, 'Rejection and fate of trace organic compounds (TrOCs) during membrane distillation', Journal of Membrane Science, vol. 453, pp. 636-642.
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Wijekoon, KC, Hai, FI, Kang, J, Price, WE, Guo, W, Ngo, HH, Cath, TY & Nghiem, LD 2014, 'A novel membrane distillation-thermophilic bioreactor system: Biological stability and trace organic compound removal', BIORESOURCE TECHNOLOGY, vol. 159, pp. 334-341.
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The removal of trace organic compounds (TrOCs) by a novel membrane distillationthermophilic bioreactor (MDBR) system was examined. Salinity build-up and the thermophilic conditions to some extent adversely impacted the performance of the bioreactor, particularly the removal of total nitrogen and recalcitrant TrOCs. While most TrOCs were well removed by the thermophilic bioreactor, compounds containing electron withdrawing functional groups in their molecular structure were recalcitrant to biological treatment and their removal efficiency by the thermophilic bioreactor was low (053%). However, the overall performance of the novel MDBR system with respect to the removal of total organic carbon, total nitrogen, and TrOCs was high and was not significantly affected by the conditions of the bioreactor. All TrOCs investigated here were highly removed (>95%) by the MDBR system. Biodegradation, sludge adsorption, and rejection by MD contribute to the removal of TrOCs by MDBR treatment.
Wilkinson, DJC, Crespigny, L, Lees, C, Savulescu, J, Thiele, P, Tran, T & Watkins, A 2014, 'Perinatal management of trisomy 18: a survey of obstetricians in Australia, New Zealand and the UK', Prenatal Diagnosis, vol. 34, no. 1, pp. 42-49.
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Williams, PT, Kirby, R, Malecki, C & Hill, J 2014, 'Measurement of the bulk acoustic properties of fibrous materials at high temperatures', Applied Acoustics, vol. 77, pp. 29-36.
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It is common for fibrous porous materials to be used in high temperature applications such as automotive and gas turbine exhaust silencers. Understanding the effect of temperature on the acoustic properties of these materials is crucial when attempting to predict silencer performance. This requires knowledge of the bulk acoustic properties of the porous materials and so this article aims to quantify the effect of temperature on the bulk acoustic properties of three fibrous materials: rock wool, basalt wool and an E-glass fibre. Measurements are undertaken here using a standard impedance tube that has been modified to accommodate temperatures of up to 500 C. It is shown that measured data for the bulk acoustic properties may be collapsed using a standard Delany and Bazley curve fitting methodology provided one modifies the properties of the material flow resistivity and air to account for a change in temperature. Moreover, by using a previously proposed power law describing the dependence of the flow resistivity with temperature, one may successfully collapse data measured at every temperature and obtain the Delany and Bazley coefficients in the usual way. Accordingly, to predict the bulk acoustic properties of a fibrous material at elevated temperatures it is necessary only to measure these properties at room temperature, and then to apply the appropriate temperature corrections to the properties of the material flow resistivity and air when using the Delany and Bazley formulae. © 2013 Elsevier Ltd. All rights reserved.
Wu, C, Chanda, E & Willison, J 2014, 'Implementation and outcomes of online self and peer assessment on group based honours research projects', Assessment & Evaluation in Higher Education, vol. 39, no. 1, pp. 21-37.
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Wu, D, Gao, W, Tangaramvong, S & Tin-Loi, F 2014, 'Robust stability analysis of structures with uncertain parameters using mathematical programming approach', International Journal for Numerical Methods in Engineering, vol. 100, no. 10, pp. 720-745.
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Copyright © 2014 John Wiley & Sons, Ltd. This paper presents a novel mathematical programming approach for the static stability analysis of structures with uncertainties within the framework of FEM. The considered uncertain parameters are material properties, geometry of element cross section, and loading conditions, all of which are described by an interval model. The proposed method formulates the two cases of interest, namely, worst and best buckling load calculation, into a pair of mathematical programming problems. Two straightforward advantages are exhibited by such formulations. The first advantage is that the proposed formulation can overcome the interference on the sharpness of bounds of the buckling load due to the interval dependence issue. The second benefit is that the information of uncertain parameters causing the extremities of buckling load can always be retrieved as by-products of the uncertain stability analysis. Some numerical examples are presented to illustrate the capability of the proposed method on various structures and the sharpness of the bounds of the buckling load factors. The efficiency and effectiveness of the proposed method are also demonstrated through comparison with the classical Monte Carlo simulation method. Copyright © 2014 John Wiley & Sons, Ltd.
Wu, F, Yu, Z, Yang, Y, Tang, S, Zhang, Y & Zhuang, Y 2014, 'Sparse Multi-Modal Hashing', IEEE TRANSACTIONS ON MULTIMEDIA, vol. 16, no. 2, pp. 427-439.
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Learning hash functions across heterogenous high-dimensional features is very desirable for many applications involving multi-modal data objects. In this paper, we propose an approach to obtain the sparse codesets for the data objects across different modalities via joint multi-modal dictionary learning, which we call sparse multi-modal hashing (abbreviated as SM2. In SM2, both intra-modality similarity and inter-modality similarity are first modeled by a hypergraph, then multi-modal dictionaries are jointly learned by Hypergraph Laplacian sparse coding. Based on the learned dictionaries, the sparse codeset of each data object is acquired and conducted for multi-modal approximate nearest neighbor retrieval using a sensitive Jaccard metric. The experimental results show that SM2 outperforms other methods in terms of mAP and Percentage on two real-world data sets. © 2013 IEEE.
Wu, J, Luo, Z, Zhang, Y & Zhang, N 2014, 'An interval uncertain optimization method for vehicle suspensions using Chebyshev metamodels', Applied Mathematical Modelling, vol. 38, no. 15-16, pp. 3706-3723.
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Wu, J, Xiao, Z-B, Wang, H-S & Shen, H 2014, 'Learning with both unlabeled data and query logs for image search', Computers & Electrical Engineering, vol. 40, no. 3, pp. 964-973.
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One of the challenges in image search is to learn with few labeled examples. Existing solutions mainly focus on leveraging either unlabeled data or query logs to address this issue, but little is known in taking both into account. This work presents a novel learning scheme that exploits both unlabeled data and query logs through a unified Manifold Ranking (MR) framework. In particular, we propose a local scaling technique to facilitate MR by self-tuning the scale parameter, and a soft label propagation strategy to enhance the robustness of MR against erroneous query logs. Further, within the proposed MR framework, a hybrid active learning method is developed, which is effective and efficient to select the informative and representative unlabeled examples, so as to maximally reduce users' labeling effort. An empirical study shows that the proposed scheme is significantly more effective than the state-of-the-art approaches. © 2013 Elsevier Ltd. All rights reserved.
Wu, L, Cao, L, Xu, M & Wang, J 2014, 'A Hybrid Image Retargeting Approach via Combining Seam Carving and Grid Warping', Journal of Multimedia, vol. 9, no. 4, pp. 482-492.
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Image retargeting is a critical technique for browsing images in diversified terminals. In this paper, we propose a hybrid image resizing approach by jointly using seam carving and warping. Firstly, based on the importance partition with the saliency map, we apply a weighted seam carving approach to make the seams distributed dispersedly in the important regions. Then we propose Content Aware Image Distance (CAID) to assess the deformation caused by removing seams. The weighted seam carving will stop with a fixed threshold to assure little visual image quality degradation. Finally, the grid based warping is utilized to achieve the final size with a global optimization model, since warping tends to avoid discontinuity artifacts of important region and typically make the distortion distribution of unimportant region more coherently. Experiments and comparison in the public RetargetMe dataset [1] with Dong [2], Energy-based deformation [3], Multi-operator [4], SeamCarving [5], Simple scaling operator, Shift-maps [6], Scale and Stretch [7], Streaming Video [8], Non-homogeneous warping [9], show the superiority of the proposed approach.
WU, M & LU, DD-C 2014, 'Active stabilization methods of electric power systems with constant power loads: a review', Journal of Modern Power Systems and Clean Energy, vol. 2, no. 3, pp. 233-243.
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Wu, M, Gide, E & Jewell, R 2014, 'The EBS management model: an effective measure of e-commerce satisfaction in SMEs in the service industry from a management perspective', Electronic Commerce Research, vol. 14, no. 1, pp. 71-86.
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Xia, Y, Wu, C, Zhang, F, Li, Z-X & Bennett, T 2014, 'Numerical Analysis of Foam-Protected RC Members under Blast Loads', International Journal of Protective Structures, vol. 5, no. 4, pp. 367-390.
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Due to the threat of terrorist activities worldwide, research on the protection of building structures from the effects of explosions is critical in order to avoid catastrophic damage to buildings. Protecting our infrastructures means protecting lives. Metallic foam is an economical, light-weight and recyclable material used as a sacrificial cladding to protect structures. Its efficient energy absorption enables metallic foam to mitigate the blast energy acting on the protected structure. This paper describes our numerical investigation of the protective performance of metallic foam cladding on reinforced concrete (RC) structural members using LS-DYNA. In the numerical model, Modified Honeycomb (Material 126) from the LS-DYNA material library was used to represent the aluminium foam while Continuous Surface Cap Model (Material 159) was selected to model the behaviour of concrete. The numerical model was validated by field blast testing results. Using the validated numerical model, parametric studies were conducted to assess the influence of different foam properties on the pressure-impulse (P-I) diagrams of the foam-protected RC slabs. The influence of the thickness of the RC members was also investigated. The derived P-I diagrams will prove useful in the preliminary design of the foam cladding on RC members.
Xiang, J, Bi, P, Pisaniello, D, Hansen, A & Sullivan, T 2014, 'Association between high temperature and work-related injuries in Adelaide, South Australia, 2001–2010', Occupational and Environmental Medicine, vol. 71, no. 4, pp. 246-252.
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Electricity and gas industries are major industries in the Australian economy. Significant reforms were initiated in these industries in the early 1990s, with a core objective of improving their efficiencies through recourse to market competition. Further, these reforms were being undertaken separately for each industry, in total disregard of the relationship that may exist between these two industries. Several studies have alluded to the need for examining the nature of this relationship as it may provide useful insights for developing more meaningful reform program for each of these industries. This paper is an attempt in that direction. This relationship is examined both through qualitative (historical) and quantitative analyses. The qualitative analysis is supported by cross price elasticities of demand between electricity and gas, at the national and state levels. These elasticities are estimated using simultaneous demand functions for electricity and gas. While this paper focuses on Australia, its findings should be relevant for other countries that are in the process of reforming their electricity and gas industries.
Xiao, R, Li, J & Shrestha, R 2014, 'Investigations of Vibration Based Condition Assessment of Timber Beams Strengthened with Fiber Reinforced Polymer', ADVANCES IN CIVIL ENGINEERING AND BUILDING MATERIALS III, vol. 831, pp. 53-57.
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In recent years, research trend on structural condition assessments have largely shifted toward utilizing vibration based methods for structural damage detection and evaluation. On the other hand, research and applications on use of fiber reinforce polymer (FRP) on timber for strengthening or repair damaged timber members in various types of timber structures has also become increasingly popular. Although the application of FRP for repair and/or strengthening of structures has been researched for a long time, research on non-destructive assessment or evaluation of the effectiveness and reliability after FRP repairing or strengthening is yet to be carried out. In this paper, the authors made an attempt on investigation of such issue utilizing Damage Index method, which is a robust vibration-based approach for damage detection. The investigation was aiming at localizing and quantifying damage in timber beams and, more importantly evaluating the effectiveness after the damage was repaired. An experimental program was carried out on five laminated veneer lumber (LVL) beams. Various damage scenarios (i.e. severe, medium, light damage) are introduced on these beams and then repaired with carbon fiber reinforced polymer (CFRP). Experimental results indicate that the use of CFRP was effective in repairing the damaged timber beams. Utilizing Damage Index method can accurately detect the damage location. However, the investigation also shows that direct application of the Damage Index for evaluation of the effectiveness of rehabilitation of the damaged timber beam is not satisfactory. Further investigation and modification of the Damage Index method will be carried out in next stage research.
Xiao, Y, Liu, B, Hao, Z & Cao, L 2014, 'A K-Farthest-Neighbor-based approach for support vector data description', Applied Intelligence, vol. 41, no. 1, pp. 196-211.
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Xiao, Y, Liu, B, Hao, Z & Cao, L 2014, 'A Similarity-Based Classification Framework for Multiple-Instance Learning', IEEE Transactions on Cybernetics, vol. 44, no. 4, pp. 500-515.
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Multiple-instance learning (MIL) is a generalization of supervised learning that attempts to learn useful information from bags of instances. In MIL, the true labels of instances in positive bags are not available for training. This leads to a critical challenge, namely, handling the instances of which the labels are ambiguous (ambiguous instances). To deal with these ambiguous instances, we propose a novel MIL approach, called similarity-based multiple-instance learning (SMILE). Instead of eliminating a number of ambiguous instances in positive bags from training the classifier, as done in some previous MIL works, SMILE explicitly deals with the ambiguous instances by considering their similarity to the positive class and the negative class. Specifically, a subset of instances is selected from positive bags as the positive candidates and the remaining ambiguous instances are associated with two similarity weights, representing the similarity to the positive class and the negative class, respectively. The ambiguous instances, together with their similarity weights, are thereafter incorporated into the learning phase to build an extended SVM-based predictive classifier. A heuristic framework is employed to update the positive candidates and the similarity weights for refining the classification boundary. Experiments on real-world datasets show that SMILE demonstrates highly competitive classification accuracy and shows less sensitivity to labeling noise than the existing MIL methods. © 2013 IEEE.
Xie, F, Fan, S, Wang, J, Lu, H & Li, C 2014, 'Artificial Intelligence and Data Mining 2014', Abstract and Applied Analysis, vol. 2014, pp. 1-2.
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Xie, M, Nghiem, LD, Price, WE & Elimelech, M 2014, 'Relating rejection of trace organic contaminants to membrane properties in forward osmosis: Measurements, modelling and implications', WATER RESEARCH, vol. 49, pp. 265-274.
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Xie, M, Nghiem, LD, Price, WE & Elimelech, M 2014, 'Toward Resource Recovery from Wastewater: Extraction of Phosphorus from Digested Sludge Using a Hybrid Forward Osmosis-Membrane Distillation Process', ENVIRONMENTAL SCIENCE & TECHNOLOGY LETTERS, vol. 1, no. 2, pp. 191-195.
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Xiong, P, Wang, X, Niu, W, Zhu, T & Li, G 2014, 'Android malware detection with contrasting permission patterns', China Communications, vol. 11, no. 8, pp. 1-14.
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As the risk of malware is sharply increasing in Android platform, Android malware detection has become an important research topic. Existing works have demonstrated that required permissions of Android applications are valuable for malware analysis, but how to exploit those permission patterns for malware detection remains an open issue. In this paper, we introduce the contrasting permission patterns to characterize the essential differences between malwares and clean applications from the permission aspect. Then a framework based on contrasting permission patterns is presented for Android malware detection. According to the proposed framework, an ensemble classifier, Enclamald, is further developed to detect whether an application is potentially malicious. Every contrasting permission pattern is acting as a weak classifier in Enclamald, and the weighted predictions of involved weak classifiers are aggregated to the final result. Experiments on real-world applications validate that the proposed Enclamald classifier outperforms commonly used classifiers for Android Malware Detection.
Xiong, P, Zhu, TQ & Wang, XF 2014, 'A survey on differential privacy and applications', Jisuanji Xuebao/Chinese Journal of Computers, vol. 37, no. 1, pp. 101-122.
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Privacy preserving in data release and mining is a hot topic in the information security field currently. As a new privacy notion, differential privacy (DP) has grown in popularity recently due to its rigid and provable privacy guarantee. After analyzing the advantage of differential privacy model relative to the traditional ones, this paper surveys the theory of differential privacy and its application on two aspects, privacy preserving data release (PPDR) and privacy preserving data mining (PPDM). In PPDR, we introduce the DP-based data release methodologies in interactive/non-interactive settings and compare them in terms of accuracy and sample complexity. In PPDM, we mainly summarize the implementation of DP in various data mining algorithms with interface-based/fully access-based modes as well as evaluating the performance of the algorithms. We finally review other applications of DP in various fields and discuss the future research directions.
Xu, C, Liu, Y, Sun, Q, Li, J & He, Y 2014, 'Polyline‐sourced Geodesic Voronoi Diagrams on Triangle Meshes', Computer Graphics Forum, vol. 33, no. 7, pp. 161-170.
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AbstractThis paper studies the Voronoi diagrams on 2‐manifold meshes based on geodesic metric (a.k.a. geodesic Voronoi diagrams or GVDs), which have polyline generators. We show that our general setting leads to situations more complicated than conventional 2D Euclidean Voronoi diagrams as well as point‐source based GVDs, since a typical bisector contains line segments, hyperbolic segments and parabolic segments. To tackle this challenge, we introduce a new concept, called local Voronoi diagram (LVD), which is a combination of additively weighted Voronoi diagram and line‐segment Voronoi diagram on a mesh triangle. We show that when restricting on a single mesh triangle, the GVD is a subset of the LVD and only two types of mesh triangles can contain GVD edges. Based on these results, we propose an efficient algorithm for constructing the GVD with polyline generators. Our algorithm runs in O(nNlogN) time and takes O(nN) space on an n‐face mesh with m generators, where N = max{m, n}. Computational results on real‐world models demonstrate the efficiency of our algorithm.
Xu, C, Xu, X, Pourghasemi, HR, Pradhan, B & Iqbal, J 2014, 'Volume, gravitational potential energy reduction, and regional centroid position change in the wake of landslides triggered by the 14 April 2010 Yushu earthquake of China', Arabian Journal of Geosciences, vol. 7, no. 6, pp. 2129-2138.
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Xu, F & Saha, SC 2014, 'Transition to an unsteady flow induced by a fin on the sidewall of a differentially heated air-filled square cavity and heat transfer', International Journal of Heat and Mass Transfer, vol. 71, pp. 236-244.
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Xu, F, Teng, X, Yuan, X, Sun, J, Wu, H, Zheng, Z, Tang, Y & Hu, S 2014, 'LCK: a new biomarker candidate for the early diagnosis of acute myocardial infarction (Retracted article. See vol. 42, pg. 1487, 2015)', MOLECULAR BIOLOGY REPORTS, vol. 41, no. 12, pp. 8047-8053.
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Xu, G, Zhou, A & Agarwal, N 2014, 'Special Issue on Social Computing and its Applications', The Computer Journal, vol. 57, no. 9, pp. 1279-1280.
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Xu, J, Wu, C & Li, Z-X 2014, 'Analysis of direct shear failure mode for RC slabs under external explosive loading', International Journal of Impact Engineering, vol. 69, pp. 136-148.
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The single degree of freedom system (SDOF) is used to predict the shear responses of RC (reinforced concrete) members under external blast loading in the present study. An RC member suffering a blast may experience both flexural and shear failure modes. Under very high amplitude short duration shock, structural failure is usually governed by direct shear loading, whereas under low amplitude long duration shock, the structural failure is most likely governed by flexural damage. However, most previous studies are based on the assumption that flexural response dominates the failure mode without taking shear failure into consideration. In the present study, dynamic response equations of a structural member experiencing direct shear failure are derived for elastic, plastic and elasto-plastic shear resistance-slip models. With these equations the P-I curves of both flexural and direct shear failure modes are generated for an RC slab. Furthermore, a parametric study is conducted to investigate the effect of different parameters of RC slabs on the pressure-impulse (P-I) diagrams based on the elasto-plastic model. Finally, based on the results from the parametric studies, curve fitting technique is used to generate the P-I curves for RC slabs in a simplified way. © 2014 Elsevier Ltd. All rights reserved.
Xu, J, Wu, Q, Zhang, J & Tang, Z 2014, 'Exploiting Universum data in AdaBoost using gradient descent', Image and Vision Computing, vol. 32, no. 8, pp. 550-557.
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Recently, Universum data that does not belong to any class of the training data, has been applied for training better classifiers. In this paper, we address a novel boosting algorithm called UAdaBoost that can improve the classification performance of AdaBoost with Universum data. UAdaBoost chooses a function by minimizing the loss for labeled data and Universum data. The cost function is minimized by a greedy, stagewise, functional gradient procedure. Each training stage of UAdaBoost is fast and efficient. The standard AdaBoost weights labeled samples during training iterations while UAdaBoost gives an explicit weighting scheme for Universum samples as well. In addition, this paper describes the practical conditions for the effectiveness of Universum learning. These conditions are based on the analysis of the distribution of ensemble predictions over training samples. Experiments on handwritten digits classification and gender classification problems are presented. As exhibited by our experimental results, the proposed method can obtain superior performances over the standard AdaBoost by selecting proper Universum data. © 2014 Elsevier B.V.
Xu, J, Wu, Q, Zhang, J, Shen, F & Tang, Z 2014, 'Boosting Separability in Semisupervised Learning for Object Classification', IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 7, pp. 1197-1208.
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Boosting algorithms, especially AdaBoost, have attracted great attention in computer vision. In the early version of boosting algorithms, the weak classifier selection and the strong classifier learning are linked together. It has been demonstrated that decoupling of these two processes can provide more flexibility for training a better classifier. In these studies, linear discriminant analysis (LDA) has been adopted to select weak classifiers independently based on class separability rather than a training error that occurs normally in AdaBoost. It is observed that LDA is successful only if a large number of labeled training samples is available. However, a large-scale labeled training set is not always available in many computer vision applications such as object classification. To tackle this problem, this paper proposes semisupervised subspace learning combined with a boosting framework for object classification, through which unlabeled data can participate in the boosting training to compensate for the lack of enough labeled data. With the proposed framework, this paper develops three various approaches that utilize unlabeled data in different ways. According to the experiments on several public image data sets, the proposed methods achieve superior performance over AdaBoost and existing semisupervised algorithms. © 1991-2012 IEEE.
Xu, M, Wang, J, He, X, Jin, JS, Luo, S & Lu, H 2014, 'A three-level framework for affective content analysis and its case studies', Multimedia Tools and Applications, vol. 70, no. 2, pp. 757-779.
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Emotional factors directly reflect audiences' attention, evaluation and memory. Recently, video affective content analysis attracts more and more research efforts. Most of the existing methods map low-level affective features directly to emotions by applying machine learning. Compared to human perception process, there is actually a gap between low-level features and high-level human perception of emotion. In order to bridge the gap, we propose a three-level affective content analysis framework by introducing mid-level representation to indicate dialog, audio emotional events (e.g., horror sounds and laughters) and textual concepts (e.g., informative keywords). Mid-level representation is obtained from machine learning on low-level features and used to infer high-level affective content. We further apply the proposed framework and focus on a number of case studies. Audio emotional event, dialog and subtitle are studied to assist affective content detection in different video domains/genres. Multiple modalities are considered for affective analysis, since different modality has its own merit to evoke emotions. Experimental results shows the proposed framework is effective and efficient for affective content analysis. Audio emotional event, dialog and subtitle are promising mid-level representations. © 2012 Springer Science+Business Media, LLC.
Xu, Y, Wang, H & Merigó, JM 2014, 'INTUITIONISTIC FUZZY EINSTEIN CHOQUET INTEGRAL OPERATORS FOR MULTIPLE ATTRIBUTE DECISION MAKING', Technological and Economic Development of Economy, vol. 20, no. 2, pp. 227-253.
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In this paper, we propose some new aggregation operators which are based on the Choquet integral and Einstein operations. The operators not only consider the importance of the elements or their ordered positions, but also consider the interactions phenomena among the decision making criteria or their ordered positions. It is shown that the proposed operators generalize several intuitionistic fuzzy Einstein aggregation operators. Moreover, some of their properties are investigated. We also study the relationship between the proposed operators and the existing intuitionistic fuzzy Choquet aggregation operators. Furthermore, an approach based on intuitionistic fuzzy Einstein Choquet integral operators is presented for multiple attribute decision-making problem. Finally, a practical decision making problem involving the water resource management is given to illustrate the multiple attribute decision making process.
Xu, Z, Zhang, Y & Cao, L 2014, 'Social Image Analysis From a Non-IID Perspective', IEEE Transactions on Multimedia, vol. 16, no. 7, pp. 1986-1998.
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An image in social media, termed a social image, exhibits characteristics different from images widely discussed in image processing. They can be described by both content and social related attributes, called social image attributes, including visual contents, users, tags, and timestamps. There are strong coupling relationships between social image attributes, which make social images not independent and identically distributed (non-IID). By analyzing the relationships among these attributes, we can better understand the semantic activities conducted on such non-IID social images, hence enabling new applications including content organization, recommendation, and social activity understanding. In this article, we present a novel algorithm to analyze the coupling relationships between social images, which involves not only intra-coupled similarity within a social image attribute, but also inter-coupled similarity between attributes, in analyzing the non-IIDness of the similarity between social images. In particular, we propose a multi-entry version of the coupled similarity metric to deal with attributes (i.e., tags) which have a many-to-one relationship with respect to images. Experimental results on a Flickr group dataset show that the proposed algorithm captures coupling relationships and therefore achieves promising results in various applications, including image clustering and tagging.
Yagoub, D, Wilkins, MR, Lay, AJ, Kaczorowski, DC, Hatoum, D, Bajan, S, Hutvagner, G, Lai, JH, Wu, W, Martiniello-Wilks, R, Xia, P & McGowan, EM 2014, 'Sphingosine Kinase 1 Isoform-Specific Interactions in Breast Cancer', MOLECULAR ENDOCRINOLOGY, vol. 28, no. 11, pp. 1899-1915.
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© 2014 by the Endocrine Society. Sphingosine kinase 1 (SK1) is a signaling enzyme that catalyzes the formation of sphingosine-1-phosphate. Overexpression of SK1 is causally associated with breast cancer progression and resistance to therapy. SK1 inhibitors are currently being investigated as promising breast cancer therapies. Two major transcriptional isoforms, SK143kDa and SK151kDa, have been identified; however, the 51kDa variant is predominant in breast cancer cells. No studies have investigated the protein-protein interactions of the 51kDa isoform and whether the two SK1 isoforms differ significantly in their interactions. Seeking an understanding of the regulation and role of SK1, we used a triple-labeling stable isotope labeling by amino acids in cell culture-based approach to identify SK1-interacting proteins common and unique to both isoforms. Of approximately 850 quantified proteins in SK1 immunopre-cipitates, a high-confidence list of 30 protein interactions with each SK1 isoform was generated via a meta-analysis of multiple experimental replicates. Many of the novel identified SK1 interaction partners such assupervillin, drebrin, and the myristoylated alanine-rich C-kinase substrate-related protein supported and highlighted previously implicated roles of SK1 in breast cancer cell migration, adhesion, and cytoskeletal remodeling. Of these interactions, several were found to be exclusive to the 43kDa isoform of SK1, including the protein phosphatase 2A, a previously identified SK1-interacting protein. Other proteins such as allograft inflammatory factor 1-like protein, the latent-transforming growth factor β-binding protein, and dipeptidyl peptidase 2 were found to associate exclusively with the 51kDa isoform of SK1. In this report, we have identified common and isoform-specificSK1-interacting partners that provide insight into the molecular mechanisms that drive SK1-mediated oncogenicity.
Yang, C, Carter, JP & Sheng, D 2014, 'Description of compression behaviour of structured soils and its application', Canadian Geotechnical Journal, vol. 51, no. 8, pp. 921-933.
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One of the most distinct characteristics of structured soils is the nonlinearity in the normal compression lines in a plot of specific volume or voids ratio against logarithmic mean or vertical effective stresses, when compared with reconstituted soils. The change in the compressibility (or compression index) with loading is attributed to structure degradation and is expressed as a function of the plastic straining. A direct description of the compression behaviour of structured soil is then established. The validity of this approach is examined via merely incorporating the newly defined normal compression line into the modified Cam-Clay constitutive model. Comparisons against a series of experiments on different types of soils illustrate the feasibility and advantage of the adopted methodology. The dependence of shear strength on the compression behaviour considered initially in critical-state soil mechanics is reemphasized here for structured soils. Analysis also indicates that the stiffness sensitivity coefficient, Sλ, should be considered together with the traditional strength (or stress) sensitivity coefficient, St (or Sσ), to better characterize the sensitivity of structured soils.
Yang, S, Nguyen, ND, Center, JR, Eisman, JA & Nguyen, TV 2014, 'Association between hypertension and fragility fracture: a longitudinal study', Osteoporosis International, vol. 25, no. 1, pp. 97-103.
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Hypertension is an independent risk factor for osteoporosis and osteoporotic fracture in postmenopausal women.Although hypertension has been suggested to be associated with increased fracture risk, it is not clear whether the association is independent of bone mineral density (BMD). The present study sought to examine the interrelationships between hypertension, BMD, and fracture risk.The study included 1,032 men and 1,701 women aged 50 years and older who were participants in the Dubbo Osteoporosis Epidemiology Study. BMD at the femoral neck and lumbar spine was measured by dual energy X-ray absorptiometry (GE-LUNAR Corp., Madison, WI, USA). The presence of hypertension was ascertained by direct interview and verification through clinical history. The incidence of fragility fractures was ascertained by X-ray report during the follow-up period (1989-2008). The Cox proportional hazards model was used to assess the association between hypertension and fracture risk.Women with hypertension had lower BMD at the femoral neck (0.79 versus 0.82 g/cm(2), P = 0.02) than those without the disease. After adjusting for BMD and covariates, hypertension was an independent risk factor for fragility fracture [hazard ratio (HR), 1.49; 95% CI, 1.13-1.96]. In men, hypertension was associated with higher femoral neck BMD (0.94 versus 0.92 g/cm(2), P = 0.02), but the association between hypertension and fracture risk did not reach statistical significance.Hypertension is associated with increased fracture risk in women, and the association is independent of BMD.
Yang, W, Gao, Y, Cao, L, Yang, M & Shi, Y 2014, 'mPadal: a joint local-and-global multi-view feature selection method for activity recognition', Applied Intelligence, vol. 41, no. 3, pp. 776-790.
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Yang, Y, Sebe, N, Snoek, C, Hua, X-S & Zhuang, Y 2014, 'Special section on learning from multiple evidences for large scale multimedia analysis', Computer Vision and Image Understanding, vol. 118, pp. 1-1.
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Yang-Yin Lin, Shih-Hui Liao, Jyh-Yeong Chang & Chin-Teng Lin 2014, 'Simplified Interval Type-2 Fuzzy Neural Networks', IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 5, pp. 959-969.
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This paper describes a self-evolving interval type-2 fuzzy neural network (FNN) for various applications. As type-1 fuzzy systems cannot effectively handle uncertainties in information within the knowledge base, we propose a simple interval type-2 FNN, which uses interval type-2 fuzzy sets in the premise and the Takagi-Sugeno-Kang (TSK) type in the consequent of the fuzzy rule. The TSK-type consequent of fuzzy rule is a linear combination of exogenous input variables. Given an initially empty the rule-base, all rules are generated with on-line type-2 fuzzy clustering. Instead of the time-consuming K-M iterative procedure, the design factors ql and qr are learned to adaptively adjust the upper and lower positions on the left and right limit outputs, using the parameter update rule based on a gradient descent algorithm. Simulation results demonstrate that our approach yields fewer test errors and less computational complexity than other type-2 FNNs. © 2012 IEEE.
Yazdani, D, Nasiri, B, Sepas-Moghaddam, A, Meybodi, M & Akbarzadeh-Totonchi, M 2014, 'mNAFSA: A novel approach for optimization in dynamic environments with global changes', Swarm and Evolutionary Computation, vol. 18, pp. 38-53.
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Artificial fish swarm algorithm (AFSA) is one of the state-of-the-art swarm intelligence algorithms that is widely used for optimization purposes in static environments. However, numerous real-world problems are dynamic and uncertain, which could not be solved using static approaches. The contribution of this paper is twofold. First, a novel AFSA algorithm, so called NAFSA, has been proposed in order to eliminate weak points of standard AFSA and increase convergence speed of the algorithm. Second, a multi-swarm algorithm based on NAFSA (mNAFSA) was presented to conquer particular challenges of dynamic environment by proposing several novel mechanisms including particularly modified multi-swarm mechanism for finding and covering potential optimum peaks and diversity increase mechanism which is applied after detecting an environment change. The proposed approaches have been evaluated on moving peak benchmark, which is the most prominent benchmark in this domain. This benchmark involves several parameters in order to simulate different configurations of dynamic environments. Extensive experiments show that the proposed algorithm significantly outperforms previous algorithms in most of the tested dynamic environments modeled by moving peaks benchmark.
Ye, L, Ni, B-J, Law, Y, Byers, C & Yuan, Z 2014, 'A novel methodology to quantify nitrous oxide emissions from full-scale wastewater treatment systems with surface aerators', Water Research, vol. 48, pp. 257-268.
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Ye, S, Sui, Y & Xue, J 2014, 'Region-Based Selective Flow-Sensitive Pointer Analysis', STATIC ANALYSIS (SAS 2014), vol. 8723, pp. 319-336.
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Ye, X, Xia, X & Zhang, J 2014, 'Optimal sampling plan for clean development mechanism lighting projects with lamp population decay', Applied Energy, vol. 136, pp. 1184-1192.
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Yi-Hsin Yu, Shao-Wei Lu, Lun-De Liao & Chin-Teng Lin 2014, 'Design, Fabrication, and Experimental Validation of Novel Flexible Silicon-Based Dry Sensors for Electroencephalography Signal Measurements', IEEE Journal of Translational Engineering in Health and Medicine, vol. 2, pp. 1-7.
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© 2014 IEEE. Many commercially available electroencephalography (EEG) sensors, including conventional wet and dry sensors, can cause skin irritation and user discomfort owing to the foreign material. The EEG products, especially sensors, highly prioritize the comfort level during devices wear. To overcome these drawbacks for EEG sensors, this paper designs Societe Generale de Surveillance S A c(SGS)-certified, silicon-based dry-contact EEG sensors (SBDSs) for EEG signal measurements. According to the SGS testing report, SBDSs extract does not irritate skin or induce noncytotoxic effects on L929 cells according to ISO10993-5. The SBDS is also lightweight, flexible, and nonirritating to the skin, as well as capable of easily fitting to scalps without any skin preparation or use of a conductive gel. For forehead and hairy sites, EEG signals can be measured reliably with the designed SBDSs. In particular, for EEG signal measurements at hairy sites, the acicular and flexible design of SBDS can push the hair aside to achieve satisfactory scalp contact, as well as maintain low skin-electrode interface impedance. Results of this paper demonstrate that the proposed sensors perform well in the EEG measurements and are feasible for practical applications.
Yin, H, Cui, B, Sun, Y, Hu, Z & Chen, L 2014, 'LCARS', ACM Transactions on Information Systems, vol. 32, no. 3, pp. 1-37.
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Newly emerging location-based and event-based social network services provide us with a new platform to understand users' preferences based on their activity history. A user can only visit a limited number of venues/events and most of them are within a limited distance range, so the user-item matrix is very sparse, which creates a big challenge to the traditional collaborative filtering-based recommender systems. The problem becomes even more challenging when people travel to a new city where they have no activity information. In this article, we propose LCARS, a location-content-aware recommender system that offers a particular user a set of venues (e.g., restaurants and shopping malls) or events (e.g., concerts and exhibitions) by giving consideration to both personal interest and local preference. This recommender system can facilitate people's travel not only near the area in which they live, but also in a city that is new to them. Specifically, LCARS consists of two components: offline modeling and online recommendation. The offline modeling part, called LCA-LDA, is designed to learn the interest of each individual user and the local preference of each individual city by capturing item cooccurrence patterns and exploiting item contents. The online recommendation part takes a querying user along with a querying city as input, and automatically combines the learned interest of the querying user and the local preference of the querying city to produce the top- k recommendations. To speed up the online process, a scalable query processing technique is developed by extending both the Threshold Algorithm (TA) and TA-approximation algorithm. We evaluate the performance of our recommender system on two real datasets, that is, DoubanEvent and Foursquare, and one large-scale synthetic dataset. The results show the superiority of LCARS in recommending spatial it...
Ying, M, Li, Y, Yu, N & Feng, Y 2014, 'Model-Checking Linear-Time Properties of Quantum Systems', ACM TRANSACTIONS ON COMPUTATIONAL LOGIC, vol. 15, no. 3.
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© 2014 ACM. We define a formal framework for reasoning about linear-time properties of quantum systems in which quantum automata are employed in the modeling of systems and certain (closed) subspaces of state Hilbert spaces are used as the atomic propositions about the behavior of systems. We provide an algorithm for verifying invariants of quantum automata. Then, an automata-based model-checking technique is generalized for the verification of safety properties recognizable by reversible automata and ω?properties recognizable by reversible Büchi automata.
Yoshikawa, S, Yanagawa, A, Iwasaki, Y, Sui, P, Koirala, S, Hirano, K, Khajuria, A, Mahendran, R, Hirabayashi, Y, Yoshimura, C & Kanae, S 2014, 'Illustrating a new global-scale approach to estimating potential reduction in fish species richness due to flow alteration', Hydrology and Earth System Sciences, vol. 18, no. 2, pp. 621-630.
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Abstract. Changes in river discharge due to human activities and climate change would affect the sustainability of freshwater ecosystems. To globally assess how changes in river discharge will affect the future status of freshwater ecosystems, global-scale hydrological simulations need to be connected with a model to estimate the durability of freshwater ecosystems. However, the development of this specific modelling combination for the global scale is still in its infancy. In this study, two statistical methods are introduced to link flow regimes to fish species richness (FSR): one is based on a linear relationship between FSR and mean river discharge (hereafter, FSR-MAD method), and the other is based on a multi-linear relationship between FSR and ecologically relevant flow indices involving several other flow characteristics and mean river discharge (FSR-FLVAR method). The FSR-MAD method has been used previously in global simulation studies. The FSR-FLVAR method is newly introduced here. These statistical methods for estimating FSR were combined with a set of global river discharge simulations to evaluate the potential impact of climate-change-induced flow alterations on FSR changes. Generally, future reductions in FSR with the FSR-FLVAR method are greater and much more scattered than with the FSR-MAD method. In arid regions, both methods indicate reductions in FSR because mean discharge is projected to decrease from past to future, although the magnitude of reductions in FSR is different between the two methods. In contrast, in heavy-snow regions a large reduction in FSR is shown by the FSR-FLVAR method due to increases in the frequency of low and high flows. Although further research is clearly needed to conclude which method is more appropriate, this study demonstrates that the FSR-FLVAR method could produce considerably different results when assessing the global role of flow alterations in changing freshwater ecosystems.
Yoshizaki, K, Hu, L, Nguyen, T, Sakai, K, He, B, Fong, C, Yamada, Y, Bikle, DD & Oda, Y 2014, 'Ablation of Coactivator Med1 Switches the Cell Fate of Dental Epithelia to That Generating Hair', PLoS ONE, vol. 9, no. 6, pp. e99991-e99991.
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Cell fates are determined by specific transcriptional programs. Here we provide evidence that the transcriptional coactivator, Mediator 1 (Med1), is essential for the cell fate determination of ectodermal epithelia. Conditional deletion of Med1 in vivo converted dental epithelia into epidermal epithelia, causing defects in enamel organ development while promoting hair formation in the incisors. We identified multiple processes by which hairs are generated in Med1 deficient incisors: 1) dental epithelial stem cells lacking Med 1 fail to commit to the dental lineage, 2) Sox2-expressing stem cells extend into the differentiation zone and remain multi-potent due to reduced Notch1 signaling, and 3) epidermal fate is induced by calcium as demonstrated in dental epithelial cell cultures. These results demonstrate that Med1 is a master regulator in adult stem cells to govern epithelial cell fate.
Youssef, AM, Pradhan, B & Maerz, NH 2014, 'Debris flow impact assessment caused by 14 April 2012 rainfall along the Al-Hada Highway, Kingdom of Saudi Arabia using high-resolution satellite imagery', Arabian Journal of Geosciences, vol. 7, no. 7, pp. 2591-2601.
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Yu, K, Oppermann, I, Dutkiewicz, E, Sharp, I & Retscher, G 2014, 'Indoor navigation and tracking', Physical Communication, vol. 13, pp. 1-3.
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Yu, N, Duan, R & Ying, M 2014, 'Distinguishability of Quantum States by Positive Operator-Valued Measures With Positive Partial Transpose', IEEE TRANSACTIONS ON INFORMATION THEORY, vol. 60, no. 4, pp. 2069-2079.
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We study the distinguishability of bipartite quantum states by positive operator-valued measures with positive partial transpose (PPT POVMs). The contributions of this paper include: 1) we give a negative answer to an open problem of showing a limitation of a previous known method for detecting nondistinguishability; 2) we show that a maximally entangled state and its orthogonal complement, no matter how many copies are supplied, cannot be distinguished by the PPT POVMs, even unambiguously. This result is much stronger than the previous known ones; and 3) we study the entanglement cost of distinguishing quantum states. It is proved that √2/3|00〉 + √1/3|11〉 is sufficient and necessary for distinguishing three Bell states by the PPT POVMs. An upper bound of entanglement cost of distinguishing a d ⊗ d pure state and its orthogonal complement is obtained for separable operations. Based on this bound, we are able to construct two orthogonal quantum states, which cannot be distinguished unambiguously by separable POVMs, but finite copies would make them perfectly distinguishable by local operations and classical communication. We further observe that a two-qubit maximally entangled state is always enough for distinguishing a d ⊗ d pure state and its orthogonal complement by the PPT POVMs, no matter the value of d. In sharp contrast, an entangled state with Schmidt number at least d is always needed for distinguishing such two states by separable POVMs. As an application, we show that the entanglement cost of distinguishing a d ⊗ d maximally entangled state and its orthogonal complement must be a maximally entangled state for d = 2, which implies that teleportation is optimal, and in general, it could be chosen as O{script} (log d/d). © 1963-2012 IEEE.
Yu, N, Guo, C & Duan, R 2014, 'Obtaining a W State from a Greenberger-Horne-Zeilinger State via Stochastic Local Operations and Classical Communication with a Rate Approaching Unity', PHYSICAL REVIEW LETTERS, vol. 112, no. 16.
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We introduce a notion of the entanglement transformation rate to characterize the asymptotic comparability of two multipartite pure entangled states under stochastic local operations and classical communication (SLOCC). For two well known SLOCC inequivalent three-qubit states |GHZ=(1/2)(|000+|111) and |W=(1/3)(|100+|010+|001), we show that the entanglement transformation rate from |GHZ to |W is exactly 1. That means that we can obtain one copy of the W state from one copy of the Greenberg-Horne-Zeilinger (GHZ) state by SLOCC, asymptotically. We then apply similar techniques to obtain a lower bound on the entanglement transformation rates from an N-partite GHZ state to a class of Dicke states, and prove the tightness of this bound for some special cases which naturally generalize the |W state. A new lower bound on the tensor rank of the matrix permanent is also obtained by evaluating the tensor rank of Dicke states. © 2014 American Physical Society.
Yu, S, Lin, X & Misic, J 2014, 'Networking for big data [Guest Editorial]', IEEE Network, vol. 28, no. 4, pp. 4-4.
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Yu, S, Sood, K & Xiang, Y 2014, 'An Effective and Feasible Traceback Scheme in Mobile Internet Environment', IEEE Communications Letters, vol. 18, no. 11, pp. 1911-1914.
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Yu, S, Tian, Y, Guo, S & Wu, DO 2014, 'Can We Beat DDoS Attacks in Clouds?', IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 9, pp. 2245-2254.
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Yu, X, Jiang, Z, Zhao, J, Wei, D, Zhou, C & Huang, Q 2014, 'Effect of a grain-refined microalloyed steel substrate on the formation mechanism of a tight oxide scale', Corrosion Science, vol. 85, pp. 115-125.
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Yu, X, Xu, F, Zhang, S & Zhang, L 2014, 'Efficient Patch-Wise Non-Uniform <newline/>Deblurring for a Single Image', IEEE Transactions on Multimedia, vol. 16, no. 6, pp. 1510-1524.
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Yu, X, Zhao, X, Sui, Y & Zhang, L 2014, 'Handling noise in single image defocus map estimation by using directional filters', Optics Letters, vol. 39, no. 21, pp. 6281-6281.
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Yu, Y, Zhang, C, Zhu, X, Kang, WH, Mao, X & Uy, B 2014, 'Design and Experimental Investigations of a Vibration Based Wireless Measurement System for Bridge Cable Tension Monitoring', Advances in Structural Engineering, vol. 17, no. 11, pp. 1657-1668.
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Cables are important components of a cable-stayed bridge, and the cable tension is a crucial factor in determining the overall condition assessment of a cable-stayed bridge structure. Based on the vibration frequency method, a wireless monitoring system for bridge cable tension force monitoring has been investigated and experimentally validated through laboratory and field tests in this paper. The vibration frequency-based method for cable tension measurement, the design method of the wireless measurement system with embedded identification algorithm, the test procedures, and relevant results are discussed, respectively. The developed wireless monitoring system is verified by a bridge model test in the laboratory and full-scale bridge tests in the field. Field experimental results show that the relative error between this wireless monitoring system and the reference wired system values is within 0.5%. Therefore, the developed wireless measurement system can provide an estimation of cable tension with sufficient accuracy. Moreover, the developed system is highly integrated and convenient in terms of installation and dismantling, and it has potential applicability prospects in emergency for the quick detection of cable tension.
Yue, XD, Miao, DQ, Cao, LB, Wu, Q & Chen, YF 2014, 'An efficient color quantization based on generic roughness measure', Pattern Recognition, vol. 47, no. 4, pp. 1777-1789.
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Color quantization is a process to compress image color space while minimizing visual distortion. The quantization based on preclustering has low computational complexity but cannot guarantee quantization precision. The quantization based on postclustering can produce high quality quantization results. However, it has to traverse image pixels iteratively and suffers heavy computational burden. Its computational complexity was not reduced although the revised versions have improved the precision. In the work of color quantization, balancing quantization quality and quantization complexity is always a challenging point. In this paper, a two-stage quantization framework is proposed to achieve this balance. In the first stage, high-resolution color space is initially compressed to a condensed color space by thresholding roughness indices. Instead of linear compression, we propose generic roughness measure to generate the delicate segmentation of image color. In this way, it causes less distortion to the image. In the second stage, the initially compressed colors are further clustered to a palette using Weighted Rough K-means to obtain final quantization results. Our objective is to design a postclustering quantization strategy at the color space level rather than the pixel level. Applying the quantization in the precisely compressed color space, the computational cost is greatly reduced; meanwhile, the quantization quality is maintained. The substantial experimental results validate the high efficiency of the proposed quantization method, which produces high quality color quantization while possessing low computational complexity. © 2013 Elsevier Ltd.
Yusuf, YA, Pradhan, B & Idrees, MO 2014, 'Spatio-temporal Assessment of Urban Heat Island Effects in Kuala Lumpur Metropolitan City Using Landsat Images', Journal of the Indian Society of Remote Sensing, vol. 42, no. 4, pp. 829-837.
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Yuwei Wu, Bo Ma, Min Yang, Jian Zhang & Yunde Jia 2014, 'Metric Learning Based Structural Appearance Model for Robust Visual Tracking', IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 5, pp. 865-877.
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Yuwono, M, Moulton, BD & Nguyen, HT 2014, 'Data Clustering Using Variants of Rapid Centroid Estimation', IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, vol. 18, no. 3, pp. 366-377.
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Prior work suggests that Particle Swarm Clustering (PSC) can be a powerful tool for solving clustering problems. This paper reviews parts of the PSC algorithm, and shows how and why a new class of algorithm is proposed in an attempt to improve on the ef?ciency and repeatability of PSC. This new implementation is referred to as Rapid Centroid Estimation (RCE). RCE simpli?es the update rules of PSC, and greatly reduces computational complexity by enhancing the ef?ciency of the particle trajectories. On benchmark evaluations with an arti?cial dataset that has 80 dimensions and a volume of 5000, the RCE variants have iteration times of less than 0.1 seconds, which compares to iteration times of 2 seconds for PSC and modi?ed PSC (mPSC). On UC Irvine (UCI) machine learning benchmark datasets, the RCE variants are much faster than PSC and mPSC, and produce clusters with higher purity and greatly improved optimization speeds. For example, the RCE variants are more than 100 times faster than PSC and mPSC on the UCI breast cancer dataset. It can be concluded that the RCE variants are leaner and faster than PSC and mPSC, and that the new optimization strategies also improve clustering quality and repeatability.
Yuwono, M, Su, SW, Guo, Y, Moulton, BD & Nguyen, HT 2014, 'Unsupervised nonparametric method for gait analysis using a waist-worn inertial sensor', APPLIED SOFT COMPUTING, vol. 14, no. A, pp. 72-80.
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This paper describes a nonparametric approach for analyzing gait and identifying bilateral heel-strike events in data from an inertial measurement unit worn on the waist. The approach automatically adapts to variations in gait of the subjects by including a classifier that continuously evolves as it "learns" aspects of each individuals gait profile. The novel data-driven approach is shown to be capable of adapting to different gait profiles without any need for supervision. The approach has several stages. First, cadence episode is detected using Hidden Markov Model. Second, discrete wavelet transforms are applied to extract peak features from accelerometers and gyroscopes. Third, the feature dimensionality is reduced using principal component analysis. Fourth, Rapid Centroid Estimation (RCE) is used to cluster the peaks into 3 classes: (a) left heel-strike, (b) right heel-strike, and (c) artifacts that belongs to neither (a) nor (b). Finally, a Bayes filter is used, which takes into account prior detections, model predictions, and step timings at time segments of interest. Experimental results involving 15 participants suggest that the system is capable of detecting bilateral heel-strikes with greater than 97% accuracy.
Zechao Li, Jing Liu, Yi Yang, Xiaofang Zhou & Hanqing Lu 2014, 'Clustering-Guided Sparse Structural Learning for Unsupervised Feature Selection', IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 9, pp. 2138-2150.
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Zeng, C, Jia, W, He, X & Zhang, L 2014, 'Text Detection in Born-Digital Images Using IT-LBP', Journal of Algorithms & Computational Technology, vol. 8, no. 1, pp. 127-142.
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Fine text detection plays a crucial role in a text detection algorithm as it is capable of removing the false alarms while keeping the detected text lines in coarse text detection. Good performance of a machine learning-based fine text detection heavily depends on the powerful feature to depict the characteristics of text. In this paper, a novel texture-based descriptor, named IT-LBP, is proposed by considering horizontal, vertical, diagonal and anti-diagonal directions of character strokes to better describe the texture of text. The new feature demonstrates its superiority by comparing with other texture-based features. The new feature is used to train an SVM classifier to further filter out non-text candidates. The ICDAR 2011 born-digital image dataset is used to evaluate and demonstrate the performance of the proposed method. Following the same performance evaluation criteria, the proposed method outperforms the winner algorithm of the ICDAR 2011 Robust Reading Competition Challenge 1.
Zhai, Y, Ong, Y-S & Tsang, IW 2014, 'The Emerging 'Big Dimensionality'', IEEE Computational Intelligence Magazine, vol. 9, no. 3, pp. 14-26.
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The world continues to generate quintillion bytes of data daily, leading to the pressing needs for new efforts in dealing with the grand challenges brought by Big Data. Today, there is a growing consensus among the computational intelligence communities that data volume presents an immediate challenge pertaining to the scalability issue. However, when addressing volume in Big Data analytics, researchers in the data analytics community have largely taken a one-sided study of volume, which is the "Big Instance Size" factor of the data. The flip side of volume which is the dimensionality factor of Big Data, on the other hand, has received much lesser attention. This article thus represents an attempt to fill in this gap and places special focus on this relatively under-explored topic of "Big Dimensionality", wherein the explosion of features (variables) brings about new challenges to computational intelligence. We begin with an analysis on the origins of Big Dimensionality. The evolution of feature dimensionality in the last two decades is then studied using popular data repositories considered in the data analytics and computational intelligence research communities. Subsequently, the state-of-the-art feature selection schemes reported in the field of computational intelligence are reviewed to reveal the inadequacies of existing approaches in keeping pace with the emerging phenomenon of Big Dimensionality. Last but not least, the "curse and blessing of Big Dimensionality" are delineated and deliberated.
Zhan, Y, Guo, Y, Zhu, J & Li, L 2014, 'Current short circuit implementation for performance improvement and lifetime extension of proton exchange membrane fuel cell', Journal of Power Sources, vol. 270, pp. 183-192.
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Zhan, Y, Guo, Y, Zhu, J & Li, L 2014, 'Natural degradation and stimulated recovery of a proton exchange membrane fuel cell', International Journal of Hydrogen Energy, vol. 39, no. 24, pp. 12849-12858.
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Zhang, A-W, Jiang, Z-Y, Wei, D-B, Jiao, S-H & Xu, C 2014, 'Analysis of Fishscaling Resistance of Low Carbon Heavy Plate Steels', Journal of Iron and Steel Research International, vol. 21, no. 4, pp. 469-475.
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The precipitates and hydrogen permeation behavior in three kinds of hot rolled low carbon heavy plate steels for enameling were analyzed; then, both sides of the steels were enameled. The experimental results show that a large amount of coarse Ti 4 C 2 S 2 and fine Ti(C, N) particles exist in the optimized Ti-bearing steel, quite a lot of fine Ti(C, N) particles exist in the optimized carbon steel, but only a little bit fine Ti(C, N) particles exist in the carbon steel. The fishscaling resistance of the steels can be correlated to the effective hydrogen diffusion coefficient, and a model of correlation between the effective hydrogen diffusion coefficient and the volume fraction of the precipitates was established and verified. The effective hydrogen diffusion coefficient should be lower than 3. 96 × 10 6 cm 2 /s to avoid fishscaling in heavy plate steels. © 2014 Central Iron and Steel Research Institute.
Zhang, B, Wang, Y & Chen, F 2014, 'Multilabel Image Classification Via High-Order Label Correlation Driven Active Learning', IEEE Transactions on Image Processing, vol. 23, no. 3, pp. 1430-1441.
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Zhang, G & Zuo, H 2014, 'Research on multi-objective linear programming problem with fuzzy coefficients in constraints', International Journal of Machine Learning and Cybernetics, vol. 5, no. 3, pp. 403-412.
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Zhang, H, Yuan, X, Osnabrugge, RLJ, Meng, D, Gao, H, Zhang, S, Rao, C, Hu, S & Zheng, Z 2014, 'Influence of Diabetes Mellitus on Long-Term Clinical and Economic Outcomes After Coronary Artery Bypass Grafting', The Annals of Thoracic Surgery, vol. 97, no. 6, pp. 2073-2079.
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Zhang, JA, Cheng, P, Weily, AR & Guo, YJ 2014, 'Towards 5th generation cellular mobile networks', Australian Journal of Telecommunications and the Digital Economy, vol. 2, no. 2, pp. 1-15.
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Cellular mobile networks have enabled ubiquitous communications and largely changed the way we live and work. At the same time, the network itself has been undergoing significant changes in the process of meeting our ever increasing demands on data rate and quality of service. In this article, we show the path of the evolution in both standards and techniques, and provide our vision for the future of the cellular networks. We review the evolution of international standards for cellular mobile networks in the last two decades, describe how the network layout has been migrating from rigid cellular architecture to random and dense small cells, and provide an indepth discussion on potential enabling techniques for the next generation (5G) cellular networks, particularly massive MIMO and multiband base-station antennas.
Zhang, L, Song, M, Yang, Y, Zhao, Q, Zhao, C & Sebe, N 2014, 'Weakly Supervised Photo Cropping', IEEE Transactions on Multimedia, vol. 16, no. 1, pp. 94-107.
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Photo cropping is widely used in the printing industry, photography, and cinematography. Conventional photo cropping methods suffer from three drawbacks: 1) the semantics used to describe photo aesthetics are determined by the experience of model designers and specific data sets, 2) image global configurations, an essential cue to capture photos aesthetics, are not well preserved in the cropped photo, and 3) multi-channel visual features from an image region contribute differently to human aesthetics, but state-of-the-art photo cropping methods cannot automatically weight them. Owing to the recent progress in image retrieval community, image-level semantics, i.e., photo labels obtained without much human supervision, can be efficiently and effectively acquired. Thus, we propose weakly supervised photo cropping, where a manifold embedding algorithm is developed to incorporate image-level semantics and image global configurations with graphlets, or, small-sized connected subgraph. After manifold embedding, a Bayesian Network (BN) is proposed. It incorporates the testing photo into the framework derived from the multi-channel post-embedding graphlets of the training data, the importance of which is determined automatically. Based on the BN, photo cropping can be casted as searching the candidate cropped photo that maximally preserves graphlets from the training photos, and the optimal cropping parameter is inferred by Gibbs sampling. Subjective evaluations demonstrate that: 1) our approach outperforms several representative photo cropping methods, including our previous cropping model that is guided by semantics-free graphlets, and 2) the visualized graphlets explicitly capture photo semantics and global spatial configurations. © 1999-2012 IEEE.
Zhang, L, Xia, X & Zhang, J 2014, 'Improving energy efficiency of cyclone circuits in coal beneficiation plants by pump-storage systems', Applied Energy, vol. 119, pp. 306-313.
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Zhang, L, Yang, Y, Gao, Y, Yu, Y, Wang, C & Li, X 2014, 'A Probabilistic Associative Model for Segmenting Weakly Supervised Images', IEEE Transactions on Image Processing, vol. 23, no. 9, pp. 4150-4159.
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Weakly supervised image segmentation is an important yet challenging task in image processing and pattern recognition fields. It is defined as: in the training stage, semantic labels are only at the image-level, without regard to their specific object/scene location within the image. Given a test image, the goal is to predict the semantics of every pixel/superpixel. In this paper, we propose a new weakly supervised image segmentation model, focusing on learning the semantic associations between superpixel sets (graphlets in this paper). In particular, we first extract graphlets from each image, where a graphlet is a small-sized graph measures the potential of multiple spatially neighboring superpixels (i.e., the probability of these superpixels sharing a common semantic label, such as the sky or the sea). To compare different-sized graphlets and to incorporate image-level labels, a manifold embedding algorithm is designed to transform all graphlets into equal-length feature vectors. Finally, we present a hierarchical Bayesian network to capture the semantic associations between postembedding graphlets, based on which the semantics of each superpixel is inferred accordingly. Experimental results demonstrate that: 1) our approach performs competitively compared with the state-of-the-art approaches on three public data sets and 2) considerable performance enhancement is achieved when using our approach on segmentation-based photo cropping and image categorization. © 2014 IEEE.
Zhang, L, Zheng, X, Deng, W, Lu, Y, Lechevallier, S, Ye, Z, Goldys, EM, Dawes, JM, Piper, JA, Yuan, J, Verelst, M & Jin, D 2014, 'Practical Implementation, Characterization and Applications of a Multi-Colour Time-Gated Luminescence Microscope', Scientific Reports, vol. 4, no. 1, pp. 1-6.
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AbstractTime-gated luminescence microscopy using long-lifetime molecular probes can effectively eliminate autofluorescence to enable high contrast imaging. Here we investigate a new strategy of time-gated imaging for simultaneous visualisation of multiple species of microorganisms stained with long-lived complexes under low-background conditions. This is realized by imaging two pathogenic organisms (Giardia lamblia stained with a red europium probe and Cryptosporidium parvum with a green terbium probe) at UV wavelengths (320–400 nm) through synchronization of a flash lamp with high repetition rate (1 kHz) to a robust time-gating detection unit. This approach provides four times enhancement in signal-to-background ratio over non-time-gated imaging, while the average signal intensity also increases six-fold compared with that under UV LED excitation. The high sensitivity is further confirmed by imaging the single europium-doped Y2O2S nanocrystals (150 nm). We report technical details regarding the time-gating detection unit and demonstrate its compatibility with commercial epi-fluorescence microscopes, providing a valuable and convenient addition to standard laboratory equipment.
Zhang, S, Luo, X, Xuan, J, Chen, X & Xu, W 2014, 'Discovering small-world in association link networks for association learning.', World Wide Web, vol. 17, no. 2, pp. 229-254.
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Zhang, W & Lee, JE-Y 2014, 'Frequency-based magnetic field sensing using Lorentz force axial strain modulation in a double-ended tuning fork', Sensors and Actuators A: Physical, vol. 211, pp. 145-152.
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Zhang, X, Krabbenhoft, K & Sheng, D 2014, 'Particle finite element analysis of the granular column collapse problem', Granular Matter, vol. 16, no. 4, pp. 609-619.
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Zhang, X, Xu, G, Zhang, S, Li, Y, Guo, Y, Li, Y, Wang, Y & Yan, W 2014, 'A Numerical Computation Forward Problem Model of Electrical Impedance Tomography Based on Generalized Finite Element Method', IEEE Transactions on Magnetics, vol. 50, no. 2, pp. 1045-1048.
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Electrical impedance tomography (EIT) is a low-cost non-invasive imaging modality. It has the potential to be of great value in clinical diagnosis. One of the major problems in EIT with complex geometry shape is its high demand in computation capability, power, and memory. A generalized finite element method (GFEM) is proposed to calculate the forward problem accurately. Compared with the traditional FEM, a smaller number of nodes and elements with the proposed method are required to achieve the same accuracy in our numerical computation model. The value of signal-to-noise ratio for two-order GFEM is 47 dB, and 10 dB for conventional FEM. The results demonstrate the efficiency of the GFEM in EIT simulation. In the forward solution, it is capable of achieving better accuracy using less computational time and memory with GFEM.
Zhang, Y, Haddad, A, Su, SW, Celler, BG, Coutts, AJ, Duffield, R, Donges, CE & Nguyen, HT 2014, 'An equivalent circuit model for onset and offset exercise response', BIOMEDICAL ENGINEERING ONLINE, vol. 13.
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Zhang, Y, Porter, AL, Hu, Z, Guo, Y & Newman, NC 2014, '“Term clumping” for technical intelligence: A case study on dye-sensitized solar cells', Technological Forecasting and Social Change, vol. 85, pp. 26-39.
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Zhang, Y, Zhang, W, Lin, Q, Lin, X & Shen, HT 2014, 'Effectively Indexing the Multidimensional Uncertain Objects', IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 3, pp. 608-622.
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As the uncertainty is inherent in a wide spectrum of applications such as radio frequency identification (RFID) networks and location-based services (LBS), it is highly demanded to address the uncertainty of the objects. In this paper, we propose a novel indexing structure, named (U)-Quadtree, to organize the uncertain objects in the multidimensional space such that the queries can be processed efficiently by taking advantage of (U)-Quadtree. Particularly, we focus on the range search on multidimensional uncertain objects since it is a fundamental query in a spatial database. We propose a cost model which carefully considers various factors that may impact the performance. Then, an effective and efficient index construction algorithm is proposed to build the optimal (U)-Quadtree regarding the cost model. We show that (U)-Quadtree can also efficiently support other types of queries such as uncertain range query and nearest neighbor query. Comprehensive experiments demonstrate that our techniques outperform the existing works on multidimensional uncertain objects. © 2014 IEEE.
Zhang, Y, Zhang, W, Pei, J, Lin, X, Lin, Q & Li, A 2014, 'Consensus-Based Ranking of Multivalued Objects: A Generalized Borda Count Approach', IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 1, pp. 83-96.
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In this paper, we tackle a novel problem of ranking multivalued objects, where an object has multiple instances in a multidimensional space, and the number of instances per object is not fixed. Given an ad hoc scoring function that assigns a score to a multidimensional instance, we want to rank a set of multivalued objects. Different from the existing models of ranking uncertain and probabilistic data, which model an object as a random variable and the instances of an object are assumed exclusive, we have to capture the coexistence of instances here. To tackle the problem, we advocate the semantics of favoring widely preferred objects instead of majority votes, which is widely used in many elections and competitions. Technically, we borrow the idea from Borda Count (BC), a well-recognized method in consensus-based voting systems. However, Borda Count cannot handle multivalued objects of inconsistent cardinality, and is costly to evaluate top (k) queries on large multidimensional data sets. To address the challenges, we extend and generalize Borda Count to quantile-based Borda Count, and develop efficient computational methods with comprehensive cost analysis. We present case studies on real data sets to demonstrate the effectiveness of the generalized Borda Count ranking, and use synthetic and real data sets to verify the efficiency of our computational method. © 1989-2012 IEEE.
Zhang, Y, Zhou, X, Porter, AL & Vicente Gomila, JM 2014, 'How to combine term clumping and technology roadmapping for newly emerging science & technology competitive intelligence: “problem & solution” pattern based semantic TRIZ tool and case study', Scientometrics, vol. 101, no. 2, pp. 1375-1389.
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Zhang, Y, Zhou, X, Porter, AL, Gomila, JMV & Yan, A 2014, 'Triple Helix innovation in China’s dye-sensitized solar cell industry: hybrid methods with semantic TRIZ and technology roadmapping', Scientometrics, vol. 99, no. 1, pp. 55-75.
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Zhao, C, Xie, H, Mu, Y, Xu, X, Zhang, J, Liu, C, Liang, S, Ngo, HH, Guo, W, Xu, J & Wang, Q 2014, 'Bioremediation of endosulfan in laboratory-scale constructed wetlands: effect of bioaugmentation and biostimulation', Environmental Science and Pollution Research, vol. 21, no. 22, pp. 12827-12835.
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Zhao, J, Ding, H, Jiang, Z, Wei, D & Linghu, K 2014, 'Effects of Hydrogen on the Critical Conditions for Dynamic Recrystallization of Titanium Alloy During Hot Deformation', Metallurgical and Materials Transactions A, vol. 45, no. 11, pp. 4932-4945.
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Zhao, J, Ding, H, Zhao, W, Huang, M, Wei, D & Jiang, Z 2014, 'Modelling of the hot deformation behaviour of a titanium alloy using constitutive equations and artificial neural network', Computational Materials Science, vol. 92, pp. 47-56.
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Zhao, L, Hoi, SCH, Li, Z, Wong, L, Nguyen, H & Li, J 2014, 'Coupling Graphs, Efficient Algorithms and B-Cell Epitope Prediction', IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, vol. 11, no. 1, pp. 7-16.
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Coupling graphs are newly introduced in this paper to meet many application needs particularly in the field of bioinformatics. A coupling graph is a two-layer graph complex, in which each node from one layer of the graph complex has at least one connection with the nodes in the other layer, and vice versa. The coupling graph model is sufficiently powerful to capture strong and inherent associations between subgraph pairs in complicated applications. The focus of this paper is on mining algorithms of frequent coupling subgraphs and bioinformatics application. Although existing frequent subgraph mining algorithms are competent to identify frequent subgraphs from a graph database, they perform poorly on frequent coupling subgraph mining because they generate many irrelevant subgraphs. We propose a novel graph transformation technique to transform a coupling graph into a generic graph. Based on the transformed coupling graphs, existing graph mining methods are then utilized to discover frequent coupling subgraphs. We prove that the transformation is precise and complete and that the restoration is reversible. Experiments carried out on a database containing 10,511 coupling graphs show that our proposed algorithm reduces the mining time very much in comparison with the existing subgraph mining algorithms. Moreover, we demonstrate the usefulness of frequent coupling subgraphs by applying our algorithm to make accurate predictions of epitopes in antibody-antigen binding
Zhao, S, Hu, Y, Lu, J, Qiu, X, Cheng, J & Burnett, I 2014, 'Delivering Sound Energy along an Arbitrary Convex Trajectory', SCIENTIFIC REPORTS, vol. 4.
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Accelerating beams have attracted considerable research interest due to their peculiar properties and various applications. Although there have been numerous research on the generation and application of accelerating light beams, few results have been published on the generation of accelerating acoustic beams. Here we report on the experimental observation of accelerating acoustic beams along arbitrary convex trajectories. The desired trajectory is projected to the spatial phase profile on the boundary which is discretized and sampled spatially. The sound field distribution is formulated with the Green function and the integral equation method. Both the paraxial and the non-paraxial regimes are examined and observed in the experiments. The effect of obstacle scattering in the sound field is also investigated and the results demonstrate that the approach is robust against obstacle scattering. The realization of accelerating acoustic beams will have an impact on various applications where acoustic information and energy are required to be delivered along an arbitrary convex trajectory.
Zhao, W, Wang, J & Lu, H 2014, 'Combining forecasts of electricity consumption in China with time-varying weights updated by a high-order Markov chain model', Omega, vol. 45, pp. 80-91.
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Electricity consumption forecasting has been always playing a vital role in power system management and planning. Inaccurate prediction may cause wastes of scarce energy resource or electricity shortages. However, forecasting electricity consumption has proven to be a challenging task due to various unstable factors. Especially, China is undergoing a period of economic transition, which highlights this difficulty. This paper proposes a time-varying-weight combining method, i.e. High-order Markov chain based Time-varying Weighted Average (HM-TWA) method to predict the monthly electricity consumption in China. HM-TWA first calculates the in-sample time-varying combining weights by quadratic programming for the individual forecasts. Then it predicts the out-of-sample time-varying adaptive weights through extrapolating these in-sample weights using a high-order Markov chain model. Finally, the combined forecasts can be obtained. In addition, to ensure that the sample data have the same properties as the required forecasts, a reasonable multi-step-ahead forecasting scheme is designed for HM-TWA. The out-of-sample forecasting performance evaluation shows that HM-TWA outperforms the component models and traditional combining methods, and its effectiveness is further verified by comparing it with some other existing models. © 2014 Elsevier Ltd.
Zhao, Y, Niu, Z & Peng, X 2014, 'Research on Data Mining Technologies for Complicated Attributes Relationship in Digital Library Collections', Applied Mathematics & Information Sciences, vol. 8, no. 3, pp. 1173-1178.
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We present here the research work on data mining technologies for complicated attributes relationship in digital library collections. Firstly our work and ideology is introduced as the research background of this paper. Digital library evaluation is an important topic in information systems domain. We creatively import data mining technologies into it to get an intelligent decision support. But traditional data prediction algorithm didn't work well. This is the problem which would be solved in this paper. Secondly related preliminary research is introduced. We researched on attributes of digital library collections, proposed a parallel discretization algorithm based on z-score theory, and by the discretization algorithm discovered a complicated condition attribute relation among attributes, it is the reason why traditional data prediction algorithm didn't work well. At last a stratified decision tree algorithm for value prediction about digital collection is put forward as the ultimate solution to solve the problem. Stratified attribute concept is imported in this algorithm. It can expand the selection of splitting attribute in decision tree from flat information to stereoscopic information, eliminate the influence of complicated condition attribute relationship, nested use existing decision tree algorithms, and solve the bottleneck of data mining application in digital library evaluation. © 2014 NSP Natural Sciences Publishing Cor.
Zhao, YX, Gao, BY, Zhang, GZ, Phuntsho, S & Shon, HK 2014, 'Coagulation by titanium tetrachloride for fulvic acid removal: Factors influencing coagulation efficiency and floc characteristics', DESALINATION, vol. 335, no. 1, pp. 70-77.
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Coagulation efficiency of titanium tetrachloride (TiCl4) was investigated for fulvic acid (FA) (as model organic matter) removal compared to traditional coagulants - iron chloride (FeCl3) and aluminum sulfate (Al2(SO4)3). The growth, breakage and regrowth nature of flocs formed by the three coagulants were also comparatively evaluated under different coagulation conditions. Results indicated that TiCl4 achieved higher removal of UV278 (absorbance at 278nm) and DOC (dissolved organic carbon) than FeCl3 and Al2(SO4)3, and TiCl4 produced the largest flocs with the highest floc growth rate. The responses of floc to different operating parameters depend on the coagulant used, while the floc breakage and re-aggregation were also significantly influenced by shear force and break-up period. Floc strength decayed with the increasing shear force, while the inverse trend was observed for floc recoverability. An extension in break-up period resulted in the deterioration of both floc strength and recoverability regardless of the coagulants used. Flocs formed by TiCl4 displayed the weakest recoverability after breakage by contrast to conventional coagulants. Since TiCl4 is only studied recently as a novel coagulant, the comparative study of coagulation performance and floc characteristics of TiCl4 against the traditional coagulants provided valuable information for its wide application in the future.© 2013 Elsevier B.V.
Zhao, YX, Gao, BY, Zhang, GZ, Qi, QB, Wang, Y, Phuntsho, S, Kim, J-H, Shon, HK, Yue, QY & Li, Q 2014, 'Coagulation and sludge recovery using titanium tetrachloride as coagulant for real water treatment: A comparison against traditional aluminum and iron salts', SEPARATION AND PURIFICATION TECHNOLOGY, vol. 130, pp. 19-27.
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Coagulation/flocculation performance of titanium tetrachloride (TiCl 4), ferric chloride (FeCl3) and aluminum sulfate (Al 2(SO4)3) was comparatively investigated for real water treatment. Comparisons were made under different coagulant dose and initial solution pH conditions and their performances measured in terms of UV254 (absorbance at 254 nm) and DOC (dissolved organic carbon) removal and residual turbidity. Characteristics of aggregated flocs during the coagulation/flocculation process by the three coagulants were studied using a laser diffraction particle sizing device. The performances of the three coagulants were also assessed in terms of the membrane fouling potential of the ultrafiltration (UF) membrane or during coagulation-ultrafiltration (C-UF) process using a stirred and dead-end batch UF unit. Additionally, the TiCl 4 flocculated sludge was recovered to produce titanium dioxide (TiO2) under thermal treatment. The results indicate that the TiCl4 showed superior coagulation performance compared to that of FeCl3 and Al2(SO4)3, with the optimum removal of UV254 and DOC of 54.9% and 55.1%, respectively. The aggregated flocs formed by TiCl4 showed the highest growth rate with the largest size compared to those by FeCl3 and Al 2(SO4)3, but with the weakest floc strength and the worst re-growth ability. The TiCl4 and FeCl3 yielded the flocs with comparable degree of compaction, higher than that by Al 2(SO4)3. Additionally, the investigation of membrane fouling demonstrated that the severity of flux decline followed the order of Al2(SO4)3 < FeCl3 < TiCl4. TiCl4 coagulated sludge was also characterized by X-ray diffraction, Thermal analysis and scanning electron microscope. © 2014 Elsevier B.V. All rights reserved.
Zhao, YX, Shon, HK, Phuntsho, S & Gao, BY 2014, 'Removal of natural organic matter by titanium tetrachloride: The effect of total hardness and ionic strength', JOURNAL OF ENVIRONMENTAL MANAGEMENT, vol. 134, pp. 20-29.
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This study is the first attempt to investigate the effect of total hardness and ionic strength on coagulation performance and the floc characteristics of titanium tetrachloride (TiCl4). Membrane fouling under different total hardness and ionic strength conditions was also evaluated during a coagulation-ultrafiltration (C-UF) hybrid process. Coagulation experiments were performed with two simulated waters, using humic acid (HA, high molecular weight) and fulvic acid (FA, relatively low molecular weight), respectively, as model natural organic matter (NOM). Results show that both particle and organic matter removal can be enhanced by increasing total hardness and ionic strength. Floc characteristics were significantly influenced by total hardness and ionic strength and were improved in terms of floc size, growth rate, strength, recoverability and compactness. The results of the UF tests show that the pre-coagulation with TiCl4 significantly improves the membrane permeate fluxes. Under different total hardness and ionic strength conditions, the membrane permeate flux varied according to both NOM and floc characteristics. The increase in total hardness and ionic strength improved the membrane permeate flux in the case of HA simulated water treatment. © 2014 Elsevier Ltd.
Zheng, Y, Hou, L, Newell, S, Liu, M, Zhou, J, Zhao, H, You, L & Cheng, X 2014, 'Community Dynamics and Activity of Ammonia-Oxidizing Prokaryotes in Intertidal Sediments of the Yangtze Estuary', Applied and Environmental Microbiology, vol. 80, no. 1, pp. 408-419.
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ABSTRACT Diversity, abundance, and activity of ammonia-oxidizing bacteria (AOB) and ammonia-oxidizing archaea (AOA) were investigated using the ammonia monooxygenase α subunit ( amoA ) in the intertidal sediments of the Yangtze Estuary. Generally, AOB had a lower diversity of amoA genes than did AOA in this study. Clone library analysis revealed great spatial variations in both AOB and AOA communities along the estuary. The UniFrac distance matrix showed that all the AOB communities and 6 out of 7 AOA communities in the Yangtze Estuary were statistically indistinguishable between summer and winter. The studied AOB and AOA community structures were observed to correlate with environmental parameters, of which salinity, pH, ammonium, total phosphorus, and organic carbon had significant correlations with the composition and distribution of both communities. Also, the AOA communities were significantly correlated with sediment clay content. Quantitative PCR (qPCR) results indicated that the abundance of AOB amoA genes was greater than that of AOA amoA genes in 10 of the 14 samples analyzed in this study. Potential nitrification rates were significantly greater in summer than in winter and had a significant negative correlation with salinity. In addition, potential nitrification rates were correlated strongly only with archaeal amoA gene abundance and not with bacterial amoA gene abundance. However, no significant differences were observed between rates measured with and without ampicillin (AOB inhibitor). These results implied that archaea might play a more important role in mediating the oxidation of ...
Zhiyuan Tan, Jamdagni, A, Xiangjian He, Nanda, P & Ren Ping Liu 2014, 'A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis', IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 2, pp. 447-456.
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Interconnected systems, such as Web servers, database servers, cloud computing servers and so on, are now under threads from network attackers. As one of most common and aggressive means, denial-of-service (DoS) attacks cause serious impact on these computing systems. In this paper, we present a DoS attack detection system that uses multivariate correlation analysis (MCA) for accurate network traffic characterization by extracting the geometrical correlations between network traffic features. Our MCA-based DoS attack detection system employs the principle of anomaly based detection in attack recognition. This makes our solution capable of detecting known and unknown DoS attacks effectively by learning the patterns of legitimate network traffic only. Furthermore, a triangle-area-based technique is proposed to enhance and to speed up the process of MCA. The effectiveness of our proposed detection system is evaluated using KDD Cup 99 data set, and the influences of both non-normalized data and normalized data on the performance of the proposed detection system are examined. The results show that our system outperforms two other previously developed state-of-the-art approaches in terms of detection accuracy. © 1990-2012 IEEE.
Zhou, A-N, Sheng, D & Li, J 2014, 'Modelling water retention and volume change behaviours of unsaturated soils in non-isothermal conditions', Computers and Geotechnics, vol. 55, pp. 1-13.
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Zhou, H, Liu, B, Liu, Y, Zhang, N, Gui, L, Li, Y, Shen, XS & Yu, Q 2014, 'A Cooperative Matching Approach for Resource Management in Dynamic Spectrum Access Networks', IEEE Transactions on Wireless Communications, vol. 13, no. 2, pp. 1047-1057.
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Zhou, H, Liu, B, Luan, TH, Hou, F, Gui, L, Li, Y, Yu, Q & Shen, X 2014, 'ChainCluster: Engineering a Cooperative Content Distribution Framework for Highway Vehicular Communications', IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 6, pp. 2644-2657.
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Zhou, J & Broodbank, N 2014, 'Sediment-water interactions of pharmaceutical residues in the river environment', Water Research, vol. 48, no. 1, pp. 61-70.
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To assess the environmental fate and risks of pharmaceuticals, the determination of their distributions between sediment and water is crucial as a controlling process. In this paper, the concentrations of 9 selected pharmaceuticals were determined in water and sediment samples from the River Medway, Kent, UK between December 2009 and December 2010. In the water phase, there was a spatial variation of concentration with the highest concentrations being detected in the sewage outfall, indicating it being an important point source in the river. In terms of seasonal variations, the highest concentrations (13-878ngL-1) were detected in June 2010. In the surface sediment phase, the highest concentrations (5.3-33.6ngg-1 dry weight) were observed at the sewage outfall, although in February 2010 the highest concentrations were detected downstream of the sewage outfall indicating a delayed response in sediment accumulation of pharmaceuticals in relation to the water phase. The partition coefficient of pharmaceuticals between surface sediment and water was variable, reflecting a dynamic process of sediment-water interaction and the varying nature of sediments. Overall the partition coefficient was shown to decrease with an increase in suspended sediment concentration. The organic carbon normalized partition coefficient of the pharmaceuticals was shown to be positively related to their molecular weight (MW), suggesting that sediment-water interactions were partly a partition process favoring large molecules. © 2013 Elsevier Ltd.
Zhou, J, Guo, A, Celler, B & Su, S 2014, 'Fault detection and identification spanning multiple processes by integrating PCA with neural network', Applied Soft Computing, vol. 14, no. A, pp. 4-11.
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This paper proposes an effective fault detection and identification method for systems which perform in multiple processes. One such type of system investigated in this paper is COSMED K4b2. K4b2 is a standard portable electrical device designed to test pulmonary functions in various applications, such as athlete training, sports medicine and health monitoring. However, its actual sensor outputs and received data may be disturbed by Electromagnetic Interference (EMI), body artifacts, and device malfunctions/faults, which might cause misinterpretations of activities or statuses to people being monitored. Although some research is reported to detect faults in specific steady state, normal approach may yield false alarms in multi-processes applications. In this paper, a novel and comprehensive method, which merges statistical analysis and intelligent computational model, is proposed to detect and identify faults of K4b2 during exercise monitoring. Firstly the principal component analysis (PCA) is utilized to acquire main features of measured data and then K-means is combined to cluster various processes for abnormalities detection. When faults are detected, a back propagation (BP) neural network is constructed to identify and isolate faults. The effectiveness and feasibility of the proposed model method is finally verified with experimental data.
Zhou, J, Guo, A, Xu, J & Su, S 2014, 'An optimal fuzzy control medium access in wireless body area networks', Neurocomputing, vol. 142, pp. 107-114.
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Wireless body area network (WBAN) collects significant signals of human body or environment information for health monitoring or professional services. But normal medium access protocols can hardly make a balance and ensure enough reliability of a network because there are specific features and service quality in WBAN applications. Contention access or fixed allocation of bandwidth cannot meet all nodes? requirements and may cause collisions and delay. Especially in emergency medical situations, some data must be transmitted immediately for accurate diagnosis and decision. The dropping of critical messages could possibly create life threatening results. In order to improve the reliability and efficiency of data transmission in WBAN, this paper proposes a fuzzy control medium access (FCMA) mechanism based on input parameters for performance gains. It controls the contention window in contention access period (CAP) and slots allocation in contention free period (CFP) according to nodes? status. Through simulation analysis, the improved performance of throughput, latency, and packets breakdown is demonstrated by efficient usage of bandwidth and avoidance of collision.
Zhou, J, Zhang, Q, Men, B & Huang, S 2014, 'Input‐to‐state stability of a class of descriptor systems', International Journal of Robust and Nonlinear Control, vol. 24, no. 1, pp. 97-109.
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SUMMARYThis paper studies the input‐to‐state stability (ISS) of descriptor systems with exogenous disturbances. on the basis of the ISS theory of standard state‐space nonlinear systems, a sufficient condition for a class of nonlinear descriptor system to be ISS is proved. Furthermore, a design method of the state feedback controllers is given to make the closed‐loop system ISS. A numerical example is given to illustrate the effectiveness of the controller design.Copyright © 2012 John Wiley & Sons, Ltd.
Zhou, JL, Siddiqui, E, Ngo, HH & Guo, W 2014, 'Estimation of uncertainty in the sampling and analysis of polychlorinated biphenyls and polycyclic aromatic hydrocarbons from contaminated soil in Brighton, UK', Science of The Total Environment, vol. 497-498, pp. 163-171.
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© 2014 Elsevier B.V. The heterogeneity of environmental samples is increasingly recognised, yet rarely examined in organic contamination investigations. In this study soil samples from an ex-landfill site in Brighton, UK were analysed for polychlorinated biphenyl (PCB) and polycyclic aromatic hydrocarbon (PAH) contamination by using a balanced sampling protocol. The analytical technique of gas chromatography-mass spectrometry was found to be fit for purpose by the use of duplicate samples and the statistical analysis of variances, as well as of certified reference materials. The sampling uncertainty was found to significantly overweigh the analytical uncertainty, by a factor of 3 and 6 for PCBs and PAHs, respectively. The soil samples showed a general trend of PCB concentration that was under the recommended target level of 20. ng/g dry weight. It is possible that one site alongside the main road may exceed the 20. ng/g target level, after taking into consideration the overall measurement uncertainty (70.8%). The PAH contamination was more severe, with seven sites potentially exceeding the effect-range medium concentrations. The soil samples with relatively high PCB and PAH concentrations were all taken from the grass verge, which also had the highest soil organic carbon content. The measurement uncertainty which was largely due to sampling can be reduced by sampling at a high resolution spacing of 17. m, which is recommended in future field investigations of soil organic contamination.
Zhou, L, Zhang, Z, Jiang, W, Guo, W, Ngo, H-H, Meng, X, Fan, J, Zhao, J & Xia, S 2014, 'Effects of low-concentration Cr(VI) on the performance and the membrane fouling of a submerged membrane bioreactor in the treatment of municipal wastewater', BIOFOULING, vol. 30, no. 1, pp. 105-114.
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The effects of low-concentration Cr(VI) (0.4 mg l-1) on the performance of a submerged membrane bioreactor (SMBR) in the treatment of municipal wastewater, as well as membrane fouling were investigated. Compared with the SMBR for control municipal wastewater, the SMBR for Cr(VI)-containing municipal wastewater had a higher concentration of soluble microbial products (SMP) with lower molecular weights, and smaller sludge particle sizes. Furthermore, low-concentration Cr(VI) induced membrane fouling, especially irreversible membrane pore blocking, which markedly shortened the service life of the membrane.
Zhou, L, Zhang, Z, Xia, S, Jiang, W, Ye, B, Xu, X, Gu, Z, Guo, W, Ngo, H-H, Meng, X, Fan, J & Zhao, J 2014, 'Effects of suspended titanium dioxide nanoparticles on cake layer formation in submerged membrane bioreactor', BIORESOURCE TECHNOLOGY, vol. 152, pp. 101-106.
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Effects of the suspended titanium dioxide nanoparticles (TiO2 NPs, 50 mg/L) on the cake layer formation in a submerged MBR were systematically investigated. With nanometer sizes, TiO2 NPs were found to aggravate membrane pore blocking but postpone cake layer fouling. TiO2 NPs showed obvious effects on the structure and the distribution of the organic and the inorganic compounds in cake layer. Concentrations of fatty acids and cholesterol in the cake layer increased due to the acute response of bacteria to the toxicity of TiO2 NPs. Line-analysis and dot map of energy-dispersive X-ray were also carried out. Since TiO2 NPs inhibited the interactions between the inorganic and the organic compounds, the inorganic compounds (especially SiO2) were prevented from depositing onto the membrane surface. Thus, the postponed cake layer fouling was due to the changing features of the complexes on the membrane surface caused by TiO2 NPs.
Zhou, T, Lu, Y, Lv, F, Di, H, Zhao, Q & Zhang, J 2014, 'Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling', Neurocomputing, vol. 165, pp. 350-360.
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Stochastic sampling based trackers have shown good performance for abruptmotion tracking so that they have gained popularity in recent years. However,conventional methods tend to use a two-stage sampling paradigm, in which thesearch space needs to be uniformly explored with an inefficient preliminarysampling phase. In this paper, we propose a novel sampling-based method in theBayesian filtering framework to address the problem. Within the framework,nearest neighbor field estimation is utilized to compute the importanceproposal probabilities, which guide the Markov chain search towards promisingregions and thus enhance the sampling efficiency; given the motion priors, asmoothing stochastic sampling Monte Carlo algorithm is proposed to approximatethe posterior distribution through a smoothing weight-updating scheme.Moreover, to track the abrupt and the smooth motions simultaneously, we developan abrupt-motion detection scheme which can discover the presence of abruptmotions during online tracking. Extensive experiments on challenging imagesequences demonstrate the effectiveness and the robustness of our algorithm inhandling the abrupt motions.
Zhou, X, Jiang, G, Wang, Q & Yuan, Z 2014, 'A review on sludge conditioning by sludge pre-treatment with a focus on advanced oxidation', RSC Adv., vol. 4, no. 92, pp. 50644-50652.
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The production of excess sludge by biological wastewater treatment processes has been a serious issue for the operation of wastewater treatment plants (WWTP) on both the economic and environmental sides.
Zhou, X, Wang, Q, Jiang, G, Zhang, X & Yuan, Z 2014, 'Improving dewaterability of waste activated sludge by combined conditioning with zero-valent iron and hydrogen peroxide', Bioresource Technology, vol. 174, pp. 103-107.
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Zhou, X, Zhang, Y, Porter, AL, Guo, Y & Zhu, D 2014, 'A patent analysis method to trace technology evolutionary pathways', Scientometrics, vol. 100, no. 3, pp. 705-721.
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Zhou, Y, Tang, M, Pan, W, Li, J, Wang, W, Shao, J, Wu, L, Li, J, Yang, Q & Yan, B 2014, 'Bird Flu Outbreak Prediction via Satellite Tracking', IEEE Intelligent Systems, vol. 29, no. 4, pp. 10-17.
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© 2001-2011 IEEE. Advanced satellite tracking technologies have collected huge amounts of wild bird migration data. Biologists use these data to understand dynamic migration patterns, study correlations between habitats, and predict global spreading trends of avian influenza. The research discussed here transforms the biological problem into a machine learning problem by converting wild bird migratory paths into graphs. H5N1 outbreak prediction is achieved by discovering weighted closed cliques from the graphs using the mining algorithm High-wEight cLosed cliquE miNing (HELEN). The learning algorithm HELEN-p then predicts potential H5N1 outbreaks at habitats. This prediction method is more accurate than traditional methods used on a migration dataset obtained through a real satellite bird-tracking system. Empirical analysis shows that H5N1 spreads in a manner of high-weight closed cliques and frequent cliques.
Zhout, JT, Tsang, IW, Pan, SJ & Tan, M 2014, 'Heterogeneous domain adaptation for multiple classes', Journal of Machine Learning Research, vol. 33, pp. 1095-1103.
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In this paper, we present an efficient multi-class heterogeneous domain adaptation method, where data from source and target domains are represented by heterogeneous features of different dimensions. Specifically, we propose to reconstruct a sparse feature transformation matrix to map the weight vector of classifiers learned from the source domain to the target domain. We cast this learning task as a compressed sensing problem, where each binary classifier induced from multiple classes can be deemed as a measurement sensor. Based on the compressive sensing theory, the estimation error of the transformation matrix decreases with the increasing number of classifiers. Therefore, to guarantee reconstruction performance, we construct sufficiently many binary classifiers based on the error correcting output coding. Extensive experiments are conducted on both a toy dataset and three real-world datasets to verify the superiority of our proposed method over existing state-of-the-art HDA methods in terms of prediction accuracy.
Zhu, H, Abbosh, A & Guo, L 2014, 'Ultra‐wideband unequal in‐phase power divider using three‐line coupled structure', Electronics Letters, vol. 50, no. 15, pp. 1081-1082.
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Zhu, H, Tu, C, Shan, G & Lee, JE-Y 2014, 'Dependence of temperature coefficient of frequency (TCf) on crystallography and eigenmode in N-doped silicon contour mode micromechanical resonators', Sensors and Actuators A: Physical, vol. 215, pp. 189-196.
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Zhu, L, Cao, L, Yang, J & Lei, J 2014, 'Evolving soft subspace clustering', Applied Soft Computing, vol. 14, no. b, pp. 210-228.
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Zhu, T, Ren, Y, Zhou, W, Rong, J & Xiong, P 2014, 'An effective privacy preserving algorithm for neighborhood-based collaborative filtering', Future Generation Computer Systems, vol. 36, pp. 142-155.
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As a popular technique in recommender systems, Collaborative Filtering (CF) has been the focus of significant attention in recent years, however, its privacy-related issues, especially for the neighborhood-based CF methods, cannot be overlooked. The aim of this study is to address these privacy issues in the context of neighborhood-based CF methods by proposing a Private Neighbor Collaborative Filtering (PNCF) algorithm. This algorithm includes two privacy preserving operations: Private Neighbor Selection and Perturbation. Using the item-based method as an example, Private Neighbor Selection is constructed on the basis of the notion of differential privacy, meaning that neighbors are privately selected for the target item according to its similarities with others. Recommendation-Aware Sensitivity and a re-designed differential privacy mechanism are introduced in this operation to enhance the performance of recommendations. A Perturbation operation then hides the true ratings of selected neighbors by adding Laplace noise. The PNCF algorithm reduces the magnitude of the noise introduced from the traditional differential privacy mechanism. Moreover, a theoretical analysis is provided to show that the proposed algorithm can resist a KNN attack while retaining the accuracy of recommendations. The results from experiments on two real datasets show that the proposed PNCF algorithm can obtain a rigid privacy guarantee without high accuracy loss. © 2013 Published by Elsevier B.V. All rights reserved.
Zhu, Y, Yu, JX & Qin, L 2014, 'Leveraging Graph Dimensions in Online Graph Search.', Proc. VLDB Endow., vol. 8, no. 1, pp. 85-96.
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Graphs have been widely used due to its expressive power to model complicated relationships. However, given a graph database DG = {g1; g2; ··· , gn}, it is challenging to process graph queries since a basic graph query usually involves costly graph operations such as maximum common subgraph and graph edit distance computation, which are NP-hard. In this paper, we study a novel DS-preserved mapping which maps graphs in a graph database DG onto a multidimensional space MG under a structural dimension Musing a mapping function φ(). The DS-preserved mapping preserves two things: distance and structure. By the distance-preserving, it means that any two graphs gi and gj in DG must map to two data objects φ(gi) and φ(gj) in MG, such that the distance, d(φ(gi); φ(gj), between φ(gi) and φ(gj) in MG approximates the graph dissimilarity δ(gi; gj) in DG. By the structure-preserving, it further means that for a given unseen query graph q, the distance between q and any graph gi in DG needs to be preserved such that δ(q; gi) ≈ d(φ(q); φ(gi)). We discuss the rationality of using graph dimension M for online graph processing, and show how to identify a small set of subgraphs to form M efficiently. We propose an iterative algorithm DSPM to compute the graph dimension, and discuss its optimization techniques. We also give an approximate algorithm DSPMap in order to handle a large graph database. We conduct extensive performance studies on both real and synthetic datasets to evaluate the top-k similarity query which is to find top-k similar graphs from DG for a query graph, and show the effectiveness and efficiency of our approaches. © 2014 VLDB.
Ziaei, Z, Pradhan, B & Mansor, SB 2014, 'A rule-based parameter aided with object-based classification approach for extraction of building and roads from WorldView-2 images', Geocarto International, vol. 29, no. 5, pp. 554-569.
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Zliobaite, I & Gabrys, B 2014, 'Adaptive Preprocessing for Streaming Data', IEEE Transactions on Knowledge and Data Engineering, vol. 26, no. 2, pp. 309-321.
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Zulkifli, NWM, Kalam, MA, Masjuki, HH, Al Mahmud, KAH & Yunus, R 2014, 'The Effect of Temperature on Tribological Properties of Chemically Modified Bio-Based Lubricant', Tribology Transactions, vol. 57, no. 3, pp. 408-415.
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Zulkifli, NWM, Kalam, MA, Masjuki, HH, Mahmud, KAHA & Yunus, R 2014, 'The effect of palm oil trimethylolpropane ester on extreme pressure lubrication', Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, vol. 228, no. 2, pp. 160-169.
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This paper presents the experimental results for the extreme pressure characteristics of a palm oil-based trimethylolpropane (TMP) ester blended with paraffin oil obtained using a four-ball machine. The load and speed of the sample were set between 20–120 kg and 1770 rpm, respectively. TMP ester produced from palm oil is biodegradable and has high lubricity properties, such as a higher flash point temperature and viscosity index. It has an affinity to surface asperities, which reduces wear between sliding contacts. Based on the calculation, it was found that majority of the oils in boundary regime and mixed elastrohydrodynamic regime. For the same contact load, the film thickness with TMP100 is 70% thicker than that with paraffin oil. In addition to that, test results revealed that (1) for all the used lubrication oils, TMP ester blended with paraffin provide better surface protection compared to paraffin oil. (2) Even though, TMP100 has the highest film thickness, at low load the wear is higher. Surface morphology test was conducted using scanning electron microscope and surface roughness tester. It was found that severe corrosive wear occurred at TMP100 which is probably due to the high oxygen content compared to other lubricant.
Zulkifli, NWM, Masjuki, HH, Kalam, MA, Yunus, R & Azman, SSN 2014, 'Lubricity of bio-based lubricant derived from chemically modified jatropha methyl ester', JURNAL TRIBOLOGI, vol. 1, pp. 18-39.
Abeywardena, D, Wang, Z, Dissanayake, G, Waslander, SL, Kodagoda, S & IEEE 1970, 'Model-aided State Estimation for Quadrotor Micro Air Vehicles amidst Wind Disturbances', 2014 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2014), IEEE/RSJ International Conference on Intelligent Robots and Systems, IEEE, Chicago, Illinois, pp. 4813-4818.
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© 2014 IEEE. This paper extends the recently developed Model-Aided Visual-Inertial Fusion (MA-VIF) technique for quadrotor Micro Air Vehicles (MAV) to deal with wind disturbances. The wind effects are explicitly modelled in the quadrotor dynamic equations excluding the unobservable wind velocity component. This is achieved by a nonlinear observability of the dynamic system with wind effects. We show that using the developed model, the vehicle pose and two components of the wind velocity vector can be simultaneously estimated with a monocular camera and an inertial measurement unit. We also show that the MA-VIF is reasonably tolerant to wind disturbances, even without explicit modelling of wind effects and explain the reasons for this behaviour. Experimental results using a Vicon motion capture system are presented to demonstrate the effectiveness of the proposed method and validate our claims.
Adak, C 1970, 'A bilingual machine translation system: English & Bengali', 2014 First International Conference on Automation, Control, Energy and Systems (ACES), 2014 First International Conference on Automation, Control, Energy and Systems (ACES), IEEE, INDIA, pp. 271-274.
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Adak, C 1970, 'An approach for printed document labeling', 2014 First International Conference on Automation, Control, Energy and Systems (ACES), 2014 First International Conference on Automation, Control, Energy and Systems (ACES), IEEE, INDIA, pp. 23-26.
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Adak, C 1970, 'Gabor Filter and Rough Clustering Based Edge Detection', 2013 INTERNATIONAL CONFERENCE ON HUMAN COMPUTER INTERACTIONS (ICHCI), International Conference on Human Computer Interactions (ICHCI), IEEE, Chennai, INDIA.
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This paper introduces an efficient edge detection method based on Gaborfilter and rough clustering. The input image is smoothed by Gabor function, andthe concept of rough clustering is used to focus on edge detection with softcomputational approach. Hysteresis thresholding is used to get the actualoutput, i.e. edges of the input image. To show the effectiveness, the proposedtechnique is compared with some other edge detection methods.
Adak, C 1970, 'Unsupervised Text Extraction from G-Maps', 2013 INTERNATIONAL CONFERENCE ON HUMAN COMPUTER INTERACTIONS (ICHCI), International Conference on Human Computer Interactions (ICHCI), IEEE, Chennai, INDIA.
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This paper represents an text extraction method from Google maps, GISmaps/images. Due to an unsupervised approach there is no requirement of anyprior knowledge or training set about the textual and non-textual parts. FuzzyCMeans clustering technique is used for image segmentation and Prewitt methodis used to detect the edges. Connected component analysis and griddingtechnique enhance the correctness of the results. The proposed method reaches98.5% accuracy level on the basis of experimental data sets.
Adak, C & Chaudhuri, BB 1970, 'An Approach of Strike-Through Text Identification from Handwritten Documents', 2014 14th International Conference on Frontiers in Handwriting Recognition, 2014 14th International Conference on Frontiers in Handwriting Recognition (ICFHR), IEEE, Hersonissos, GREECE, pp. 643-648.
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Adak, C & Chaudhuri, BB 1970, 'Text Line Identification in Tagore's Manuscript', Proc. IEEE TechSym-2014, IEEE Conf. #32812, pp. 210-213, Kharagpur, India, 28 Feb.-2 Mar., 2014, 3rd IEEE Students' Technology Symposium (IEEE TechSym), IEEE, IIT Kharagpur, Kharagpur, INDIA, pp. 210-213.
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In this paper, a text line identification method is proposed. The text linesof printed document are easy to segment due to uniform straightness of thelines and sufficient gap between the lines. But in handwritten documents, theline is non-uniform and interline gaps are variable. We take RabindranathTagore's manuscript as it is one of the most difficult manuscripts that containdoodles. Our method consists of a pre-processing stage to clean the documentimage. Then we separate doodles from the manuscript to get the textual region.After that we identify the text lines on the manuscript. For text lineidentification, we use window examination, black run-length smearing,horizontal histogram and connected component analysis.
Afroz, F, Sandrasegaran, K & Ghosal, P 1970, 'Performance analysis of PF, M-LWDF and EXP/PF packet scheduling algorithms in 3GPP LTE downlink', 2014 Australasian Telecommunication Networks and Applications Conference (ATNAC), 2014 Australasian Telecommunication Networks and Applications Conference (ATNAC), IEEE, Melbourne, pp. 87-92.
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© 2014 IEEE. In this paper, the performance of Proportional Fair (PF), Maximum-Largest Weighted Delay First (M-LWDF) and Exponential/Proportional Fair (EXP/PF) packet scheduling algorithms has been investigated in the downlink Long Term Evolution (LTE) system. The performance evaluation is conducted in single cell with interference environment while increasing number of users in the range of 10 to 80 (Case 1) and varying users' speed in the range [3, 120] km/h (Case 2). Results show that in Case 1, M-LWDF outperforms other two algorithms in terms of average throughput, spectral efficiency, packet delay, packet loss ratio (PLR), and fairness index, and in Case 2, the performance of simulated scheduling algorithms drops noticeably with increased users' speed and M-LWDF outperforms other two algorithms in terms of average throughput, spectral efficiency, PLR, and delay.
Aguilera, RP, Delgado, R, Dolz, D & Agüero, JC 1970, 'Quadratic MPC with ℓ 0 -input constraint', IFAC Proceedings Volumes, IFAC World Congress, Elsevier BV, Cape Town, South Africa, pp. 10888-10893.
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© IFAC.In this paper we propose a novel quadratic model predictive control technique that constrains the number of active inputs at each control horizon instant. This problem is known as sparse control. We use an iterative convex optimization procedure to solve the corresponding optimization problem subject to sparsity constraints defined by means of the ℓ0-norm. We also derive a sufficient condition on the minimum number of active of inputs that guarantees the exponential stability of the closed-loop system. A simulation example illustrates the benefits of the control design method proposed in the paper.
Ahadi, A, Teague, D & Lister, RF 1970, 'Falling Behind Early and Staying Behind When Learning to Program', Philosophy of Programming Interest Group, Psychology of Programming Interest Group Annual Conference, Darwin College, Brighton, United Kingdom, pp. 77-88.
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We have performed a study of novice programmers, using students at two different institutions, who were learning different programming languages. Influenced by the work of Dehnadi and Bornat, we gave our students a simple test, of our own devising, in their first three weeks of formal instruction in programming. That test only required knowledge of assignment statements. We found a wide performance difference among our two student cohorts. Furthermore, our test was a good indication of how students performed about 10 weeks later, in their final programming exam. We interpret our results in terms of our neo-Piagetian theory of how novices learn to program.
Alamdari, MM, Li, J & Samali, B 1970, 'Damage Localisation Using Symbolic Time Series Approach', Conference Proceedings of the Society for Experimental Mechanics Series, Conference of Society for Experimental Mechanics Series, Springer International Publishing, pp. 109-115.
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© The Society for Experimental Mechanics, Inc. 2014. The objective of this paper is to localise damage in a single or multiple state at early stages of development based on the principles of symbolic dynamics. Symbolic Time Series Analysis (STSA) of noise-contaminated responses is used for feature extraction to detect and localise a gradually evolving deterioration in the structure according to the changes in the statistical behaviour of symbol sequences. The method consists of four primary steps: (1) generating the time series data by a set of measurements over time at evenly spaced locations along the structure; (2) creating the symbol space to generate symbol sequences based on the wavelet transformed version of time series data; (3) developing the symbol probability vectors to achieve anomaly measures; (4) localising damage based on any sudden variation in anomaly measure of two adjacent locations. The method was applied to a clamped–clamped beam subjected to random excitation in presence of 5 % white noise to examine the efficiency and limitations of the method. Simulation results under various damage conditions confirmed the efficiency of the proposed approach for localisation of gradually evolving deterioration in the structure, however, for the future work the method needs to be verified by experimental data.
Alammari, AM & Chandran, D 1970, 'Populating Contents of the Saudi eLearning Objects Repository 'Maknaz' from Information Technology & Knowledge Management Perspective', 2014 ASIA-PACIFIC CONFERENCE ON COMPUTER AIDED SYSTEM ENGINEERING (APCASE), Asia-Pacific Conference on Computer Aided System Engineering (APCASE), APCASE Foundation 2014, Bali Dynasty Resort, Bali, Indonesia, pp. 107-110.
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E-Learning is an important tool for current learning and teaching processes. Learning Objects Repository (LOR) has been seen as a key factor in eLearning and knowledge management environment. Universities in Saudi Arabia have prioritized implementing eLearning in their development plans. However, current learning and teaching process in higher education in Saudi Arabia is still mostly traditional. Educational and information technologies adoption is slow due to the lack of awareness about the importance of collaborative learning that is mainly based on LORs knowledge and technical skills that educators and learners should have. There is a need to study the possible technical tools and approaches that can direct eLearning practices in Saudi Arabia to embrace the initiative of the Saudi National Learning Objects Repository “Maknaz” in order to collaboratively populate and digitalize its knowledge contents. Due to the slow adoption of technologies and knowledge management systems in Saudi higher education, it is important to analyze the academics and students' acceptance toward current eLearning environment implemented so far. This paper investigates what efforts have been made so far to implement eLearning and LORs technologies in Saudi Arabia; and suggests what is required from participants in the higher educational institutions to link these technologies to education and pedagogy practices based on an integrated knowledge management system with eLearning to creatively create and exchange new knowledge localized in LORs.
Al-Dmour, H, Al-Ani, A & Nguyen, HT 1970, 'An efficient steganography method for hiding patient confidential information.', EMBC, International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Chicago, USA, pp. 222-225.
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© 2014 IEEE. This paper deals with the important issue of security and confidentiality of patient information when exchanging or storing medical images. Steganography has recently been viewed as an alternative or complement to cryptography, as existing cryptographic systems are not perfect due to their vulnerability to certain types of attack. We propose in this paper a new steganography algorithm for hiding patient confidential information. It utilizes Pixel Value Differencing (PVD) to identify contrast regions in the image and a Hamming code that embeds 3 secret message bits into 4 bits of the cover image. In order to preserve the content of the region of interest (ROI), the embedding is only performed using the Region of Non-Interest (RONI).
Ali, A, Hawryszkiewycz, I & Chen, J 1970, 'Services for Knowledge Sharing in Dynamic Business Networks', 2014 23rd Australian Software Engineering Conference, 2014 23rd Australian Software Engineering Conference (ASWEC), IEEE, Sydney, Australia, pp. 62-65.
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Knowledge sharing and management is becoming increasingly important in complex environments. Such complex environments often involve business networks in joint projects or supply chains. The increasingly complexity characterized by continuous change requires knowledge workers to continually propose new solutions and search and develop knowledge to support these solutions. This new knowledge often comes from externally, or from business partners and must be shared in flexible ways. This paper develops a model to model flexible gathering and sharing of knowledge. It develops a metamodel that allows dynamic reconfiguration of systems, while reassigning knowledge processing functions to meet emerging needs. The paper then illustrates a prototype for implementing the model on the cloud. © 2014 IEEE.
Aljaafreh, A, Gill, AQ & Ani, AA 1970, 'Towards the development of an initial trust model for the adoption of internet banking services in Jordan', Proceedings - Pacific Asia Conference on Information Systems, PACIS 2014, Pacific Asia Conference on Information Systems, AIS, Chengdu, China, pp. 1-11.
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Internet banking service (IBS) is transforming the traditional ways of customer banking. Although IBS is very common in developed countries, however, its adoption by customers in developing countries is still very slow. This may well be due to the lack of customer's trust in IBS in developing countries. This paper studies the important issue of customer's initial trust in IBS in the Jordanian context and proposes the customer initial trust model. The objective of this model is to understand and analyse the underlying factors that affect the early stage of trust (i.e. initial customer trust) in IBS, which may, impact customer's initial intention to use IBS. The proposed model of customer's initial trust in IBS integrates constructs from Diffusion of Innovation (DoI) theory, Hofstede culture theory and trust literature. The distinguishable property of this model is the incorporation of national culture dimensions on initial trust. The proposed model will assist Jordanian banks in understanding the factors that may impact their customers' initial trust in IBS.
Al-Jubouri, B & Gabrys, B 1970, 'Multicriteria approaches for predictive model generation: A comparative experimental study', 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM), 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM), IEEE, Orlando, FL, pp. 64-71.
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Alon, N, Lee, T & Shraibman, A 1970, 'The cover number of a matrix and its algorithmic applications', Leibniz International Proceedings in Informatics, LIPIcs, pp. 34-47.
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Given a matrix A, we study how many ε-cubes are required to cover the convex hull of the columns of A. We show bounds on this cover number in terms of VC dimension and the γ2 norm and give algorithms for enumerating elements of a cover. This leads to algorithms for computing approximate Nash equilibria that unify and extend several previous results in the literature. Moreover, our approximation algorithms can be applied quite generally to a family of quadratic optimization problems that also includes finding the densest κ-by-k combinatorial rectangle of a matrix. In particular, for this problem we give the first quasi-polynomial time additive approximation algorithm that works for any matrix A ∈ [0, 1]m×n..
Al-sharif, AAA, Pradhan, B, Shafri, HZM & Mansor, S 1970, 'Quantitative analysis of urban sprawl in Tripoli using Pearson's Chi-Square statistics and urban expansion intensity index', IOP Conference Series: Earth and Environmental Science, IOP Publishing, pp. 012006-012006.
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Althuwaynee, OF, Pradhan, B & Ahmad, N 1970, 'Landslide susceptibility mapping using decision-tree based CHi-squared automatic interaction detection (CHAID) and Logistic regression (LR) integration', IOP Conference Series: Earth and Environmental Science, IOP Publishing, pp. 012032-012032.
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Alzoubi, YI & Gill, AQ 1970, 'Agile Global Software Development Communication Challenges: a Systematic Review.', PACIS, Pacific Asia Conference on Information Systems, AIS, Chengdu, China, pp. 20-20.
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Organizations have shown a significant interest in adopting human and communication-oriented agile practices for Global Software Development (GSD). Agile practices originated in the context of small and medium co-located project teams present a number of communication challenges when they are applied to the distributed GSD. There is a need to understand the underlying communication challenges of agile GSD environment. This paper adopts a Systematic Literature Review (SLR) approach and reports communication challenges in the agile GSD context. A customized literature search and selection criteria was first developed and then applied to initially identify a set of 449 papers. Finally, 22 of 449 papers, relevant to this research, were selected for this study. These final 22 papers were reviewed and 7 major categories of communication challenges were identified in the context of agile GSD. The review results of this paper are expected to help researchers and practitioners to understand communication challenges of agile GSD and develop tools, techniques and strategies to deal with these challenges. This paper is limited to the number of reviewed studies from selected databases.
Aman, SNA, Latif, ZA & Pradhan, B 1970, 'Spatial probabilistic approach on landslide susceptibility assessment from high resolution sensors derived parameters', IOP Conference Series: Earth and Environmental Science, IOP Publishing, pp. 012057-012057.
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Ambusaidi, MA, He, X, Tan, Z, Nanda, P, Lu, LF, Nagar, UT & IEEE 1970, 'A novel feature selection approach for intrusion detection data classification', 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE Computer Society, Beijing, pp. 82-89.
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© 2014 IEEE. Intrusion Detection Systems (IDSs) play a significant role in monitoring and analyzing daily activities occurring in computer systems to detect occurrences of security threats. However, the routinely produced analytical data from computer networks are usually of very huge in size. This creates a major challenge to IDSs, which need to examine all features in the data to identify intrusive patterns. The objective of this study is to analyze and select the more discriminate input features for building computationally efficient and effective schemes for an IDS. For this, a hybrid feature selection algorithm in combination with wrapper and filter selection processes is designed in this paper. Two main phases are involved in this algorithm. The upper phase conducts a preliminary search for an optimal subset of features, in which the mutual information between the input features and the output class serves as a determinant criterion. The selected set of features from the previous phase is further refined in the lower phase in a wrapper manner, in which the Least Square Support Vector Machine (LSSVM) is used to guide the selection process and retain optimized set of features. The efficiency and effectiveness of our approach is demonstrated through building an IDS and a fair comparison with other stateof-the-art detection approaches. The experimental results show that our hybrid model is promising in detection compared to the previously reported results.
Andonovski, B, Miro, JV, Poon, J & Black, R 1970, 'An automated mechanism to characterize wheelchair user performance', 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, 2014 5th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob), IEEE, Sau Paulo, Brazil, pp. 444-449.
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This paper proposes a mechanism to derive quantitative descriptions of wheelchair usage as a tool to aid Occupational Therapist with their performance assesment of mobility platform users. This is accomplished by analysing data computed from a standalone sensor package fitted on an wheelchair platform. This work builds upon previous propositions where parameters that could assist in the assessment were recommended to the authors by a qualified occupational therapist (OT). In the current scheme however the task-specific parameters that may provide the most relevant user information for the assessment are automatically revealed through a machine learning approach. Data mining techniques are used to reveal the most informative parameters, and results from three typical classifiers are presented based on learnings from manual labelling of the training data. Trials conducted by healthy volunteers gave classifications with an 81% success rate using a Random Forest classifier, a promising outcome that sets the scene for a potential clinical trial with a larger user pool.
ANG, F, GUEVARA, RC, MIYANAGA, Y, CAJOTE, R, ILAO, J, BAYONA, MGA & LAGUNA, AF 1970, 'Open Domain Continuous Filipino Speech Recognition: Challenges and Baseline Experiments', IEICE Transactions on Information and Systems, Institute of Electronics, Information and Communications Engineers (IEICE), pp. 2443-2452.
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Ang, F, Miyanaga, Y, Guevara, RC, Cajote, R & Bayona, MGA 1970, 'Open domain continuous filipino speech recognition with code-switching', 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE.
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Ang, KCS & Aubrey, T 1970, 'Transforming multiple stakeholder insights into education action: developing a pragmatic EIT professional advisory framework', Proceedings of the Australasian Association of Engineering Education (AAEE) Conference 2014, AAEE - Annual Conference of Australasian Association for Engineering Education, AAEE 2014, Wellington.
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BACKGROUNDThis paper discusses the formation of a stakeholder engagement framework for a Professional Advisory board (PAb). These collaborative undertakings were initially conducted to review post-graduate programs in the Faculty of Engineering and Information Technology (FEIT) at the University of Technology Sydney (UTS). This led to the realisation of a pragmatic and collaborative engagement process that benefits industry and the education sector whilst developing students that are able to deal with current and emergent challenges.PURPOSE OR GOALThe PAb is a network of academics, students, alumni and industry members that undertakes to engage, advice and review discipline-specific faculty programs from multiple perspectives to ensure that programs remain relevant and valuable to industry. As the faculty moves towards reengineering their approach to teaching and learning as part of a university-wide initiative known as ‘Learning 2014’ (L2014), this provides the opportunity to shape a more engaged and collaborative teaching and learning culture within its programs.DESIGN/METHODSThe collaborative stakeholder process was built upon an intensive series of mixed methods and action research initiatives as engagement mechanisms. These pragmatic and emergent mechanisms involved quantitative surveys, focus groups, in-depth interviews, industry workshops and multiple rounds of academic consultations.RESULTSThe PAb framework was piloted in June 2014. Initial results from a feedback survey are also reported. The collaborative framework, whilst promising, engaging and conceptually robust, has not yet reached a stable state. The framework will be extended to other EIT disciplines in order to evaluate its outcomes across various disciplinary contexts and to optimise the framework’s efficacy for future iterations. This paper suggests a pragmatic and robust framework to integrate industry and stakeholder expectations with faculty program deliverables in a way th...
Ansari, Y, Kouretzis, GP & Sheng, DC 1970, 'Coupled Finite Element Analysis of Partially Embedded Offshore Pipelines during Vertical Penetration', Applied Mechanics and Materials, Trans Tech Publications, Ltd., pp. 428-433.
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Diverse vertical embedment response is observed for partially embedded pipelines when experimentally tested under similar initial and boundary conditions. Although vertical resistance of pipelines is presented through simple analytical solutions, a number of factors contribute to complications in implementing these theories into practice. The objectives of this research is to provide a more detailed investigation on the vertical embedment for the partially-embedded pipelines (PEPs) using a coupled large deformation finite element (CLDFE) analysis with contact. A modified Cam Clay (MCC) model represents the elastoplastic response of the soil. The model of pipeline embedment investigates the effect of drainage condition on heave forming with respect to rate of penetration. Besides, effect of frictional contact on the heave development and wedging effect is investigated and design-related considerations are proposed. It is shown that depending on the rate of pipeline penetration and soil consolidation rate, the pipeline penetration response can be categorised as undrained, partially drained or fully drained.
Ara, P, Heimlich, M & Dutkiewicz, E 1970, 'Antenna performance for localization of capsule endoscope', 2014 8th International Symposium on Medical Information and Communication Technology (ISMICT), 2014 8th International Symposium on Medical Information and Communication Technology (ISMICT), IEEE, Firenze, Italy.
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Recent developments in capsule endoscopy have highlighted the need for accurate techniques to estimate the location of a capsule endoscope in the gastrointestinal (GI) tract. Besides the channel propagation environment that can highly influence the accuracy of the capsule location estimation, the deployed antenna properties and its radiation pattern can also have a significant impact on the performance of the location estimation technique. Therefore, it is essential to select the antenna type that can meet the location estimation requirements. In this paper, the studies are done for two different antenna types: half-dipole and loop at the frequency of 2.4 GHz to explore and compare the effect of different antenna types. The results show that the half-dipole antenna outperforms the loop antenna in respect to the signal attenuation inside the human abdomen region. © 2014 IEEE.
Ara, P, Heimlich, M & Dutkiewicz, E 1970, 'Investigation of radar approach for localization of gastro intestinal endoscopic capsule', 2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, Istanbul, Turkey, pp. 99-104.
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© 2014 IEEE. Location estimation of a capsule endoscope in the gastrointestinal (GI) tract is a challenging task, as radio frequency signals encounter a high loss and highly dynamic channel propagation environment. In this paper, the possibility of using a radar system for capsule localization is investigated at frequencies of 2.4 GHz, 3.4 GHz, 4.8 GHz and 5.8 GHz respectively. Based on our theoretical analysis, the system at 2.4 GHz exhibits better performance. Therefore, in the next step a detailed analysis of the RF propagation in the human abdomen is presented with the aid of numerical simulations using Finite-Difference TimeDomain (FDTD) method. Our simulation results show that a radar system at 2.4 GHz can be considered for tracking the capsule if a high sensitivity receiver is deployed. In addition, we provide an in-depth study investigating the effect of antenna position and polarization on the received signal strength. The studies show that vertical polarization of the antenna outperforms other linear polarization because it provides better signal strength in the center of the human abdomen.
Ardi Handojoseno, AM, Shine, JM, Gilat, M, Nguyen, TN, Tran, Y, Lewis, SJG & Nguyen, HT 1970, 'Prediction of freezing of gait using analysis of brain effective connectivity', 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Chicago, Illinois, USA, pp. 4119-4122.
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© 2014 IEEE. Freezing of gait (FOG) is a debilitating symptom of Parkinson's disease (PD), in which patients experience sudden difficulties in starting or continuing locomotion. It is described by patients as the sensation that their feet are suddenly glued to the ground. This, disturbs their balance, and hence often leads to falls. In this study, directed transfer function (DTF) and partial directed coherence (PDC) were used to calculate the effective connectivity of neural networks, as the input features for systems that can detect FOG based on a Multilayer Perceptron Neural Network, as well as means for assessing the causal relationships in neurophysiological neural networks during FOG episodes. The sensitivity, specificity and accuracy obtained in subject dependent analysis were 82%, 77%, and 78%, respectively. This is a significant improvement compared to previously used methods for detecting FOG, bringing this detection system one step closer to a final version that can be used by the patients to improve their symptoms.
Argent, RM, Sojda, RS, Guipponi, C, McIntosh, B & Voinov, AA 1970, 'Best practice in conceptual modelling for environmental software development', Proceedings - 7th International Congress on Environmental Modelling and Software: Bold Visions for Environmental Modeling, iEMSs 2014, pp. 2377-2386.
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Conceptual modelling is used in many fields with a varying degree of formality. In environmental applications, conceptual models are used to express relationships, explore and test ideas, check inference and causality, identify knowledge and data gaps, synchronize mental models and build consensus, and to highlight key or dominant processes. Conceptual model representations range from simple box and line interaction diagrams, through interaction representations and causal models, to complicated formal representations of the relationships between actors or entities, or between states and processes. Due to their sometimes apparent simplicity, the development and use of a conceptual model is often an attractive option when tackling an environmental problem where the system is either not well understood, or where the understanding of the system is not shared amongst stakeholders. However, we have experienced many examples where conceptual modelling has failed to live up to the promises of managing complexity and aiding decision making. This paper explores the development and application of conceptual modelling to environmental problems, and identifies a range of best practices for environmental scientists and managers that include considerations of stakeholder participation, model development and representation, integration of different and disparate conceptual models, model maturation, testing, and transition to application within the problem situation.
Argha, A, Li, L, Su, SW & Nguyen, H 1970, 'A new LMI-based robust Sliding Mode Control for the uncertain discrete-time systems', 53rd IEEE Conference on Decision and Control, 2014 IEEE 53rd Annual Conference on Decision and Control (CDC), IEEE, Los Angeles - USA, pp. 4747-4752.
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© 2014 IEEE. In this paper, a new approach for designing a robust Discrete-time Sliding Mode Control (DSMC) is proposed for the uncertain discrete-time systems. To this end, an LMI approach is used to develop a new framework to design the linear sliding functions which are linear to the state. The LMI approach proposed in this paper is designed to deal with uncertain systems (matched and unmatched). It is wellknown that the finite sampling rate for the discrete-time systems leads to this fact that state move within a bound around the predetermined sliding surface referred to as quasi-sliding mode band. In this paper, this matter will be discussed in a new point of view and an innovative method will be used to obtain the ultimate bound on the system state.
Argha, A, Li, L, Su, SW & Nguyen, H 1970, 'Controllability analysis of the first FM model of 2D systems: A row (column) process', 53rd IEEE Conference on Decision and Control, 2014 IEEE 53rd Annual Conference on Decision and Control (CDC), IEEE, Los Angeles - USA, pp. 2414-2419.
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© 2014 IEEE. Dealing with 1D form of 2D systems is an alternative strategy to reduce the intrinsic complexity of 2D systems and their applications. To obtain the 1D form of 2D systems, a row (column) process is used in this paper. The controllability analysis of the obtained 1D form and its relation to the local controllability of the local states in the original 2D system is the subject of this paper. Moreover, in this paper, a new notion of controllability named directional controllability is defined and studied for the underlying 2D systems.
Argha, A, Li, L, Su, SW & Nguyen, HT 1970, 'Decentralized sliding mode control for uncertain discrete-time large-scale systems: An LMI approach.', AuCC, Australian Control Conference 2014, IEEE, Canberra Australia, pp. 251-256.
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© 2014 Engineers Australia. In this paper, a decentralized discrete-time sliding mode control is designed for the uncertain large-scale systems. Firstly, a decentralized sliding surface is developed for the large-scale discrete-time systems including uncertainty and exogenous disturbance. Then, a decentralized sliding mode controller is designed for the underlying systems. An LMI approach is deployed to develop a new framework to design the decentralized sliding mode controller which can stabilize the underlying uncertain large-scale system. The ultimate boundedness of the state and sliding function of the underlying closed-loop system is studied accordingly. Illustrative examples are presented to show the effectiveness of the proposed controllers.
Argha, A, Su, SW, Lee, S, Nguyen, H, Celler, BG & IEEE 1970, 'On Heart Rate Regulation in Cycle-Ergometer Exercise', 2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Chicago USA, pp. 3390-3393.
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In this paper, we have focused on the issue of
regulating the human heart rate (HR) to a predefined reference
trajectory, especially for cycle-ergometer exercise used for
training or rehabilitation. As measuring HR is relatively easy
compared to exercise intensity, it has been used in the wide
range of training programs. The aim of this paper is to develop
a non-model-based control strategy using proportional, integral
and derivative (PID) controller/relay controller to regulate the
HR to track a desired trajectory. In the case of using PID
controller, the controller output signal is interpreted as a voice
or auditory command, referred to as biofeedback, which can
be heard by the exercising subject as a part of the controlloop.
Alternatively, the relay controller output signals can be
converted to some special words which can be recognised by the
exerciser. However, in both cases, to effectively communicate
to the user a change in exercise intensity, the timing of this
feedback signal relative to the positions of the pedals becomes
quite critical. A feedback signal delivered when the pedals
are not in a suitable position to efficiently exert force may
be ineffective and may lead to a cognitive disengagement of the
user form the feedback controller. In this paper we examine the
need and the consequence of synchronising the delivery of the
feedback signal with an optimal and user specific placement of
the pedal.
Aslazandeh, S, Chaczko, Z & Chiu, C 1970, 'Cloud computing — The effect of generalized spring tensor algorithm on load balancing', 2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE), 2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE), IEEE, South Kuta, pp. 5-8.
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In business world, competitors use innovative approaches to improve their performance and profits. Cloud computing is one of these creative concepts that allowed companies to further taking advantage of their potential. Cloud computing is assisting companies to execute their business plans more efficiently. As cloud computing has multi-tenancy structure, availability and efficiency of the resources is essential foundation of the cloud architecture. Recent studies showed that, optimized cloud computing could be seen as an elastic network of resources that are interacting with each other, to minimize the waiting time and utilize the throughput. Therefore load balancing and resource management can be highlighted as the main concerns in cloud computing as they are impacting the network performance directly. This research aims to discuss the current challenges existing in load balancing algorithms. Different metrics and policies of the relevant load balancer algorithms have been investigated and as a result, collective behavior has been proposed as a new policy for classification of elasticity mechanism in load balancing.
Azadeh, A, Kokabi, R, Saberi, M, Hussain, FK, Hussain, OK & IEEE 1970, 'Trust Prediction Using Z-numbers and Artificial Neural Networks', 2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), IEEE International Conference on Fuzzy Systems, IEEE - Institute of Electrical and Electronics Engineers, Beijing, China, pp. 522-528.
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© 2014 IEEE. Trust modeling of both the interacting parties in a virtual world, is a critical element of business intelligence. A key aspect in trust modeling is to be able to accurately predict the future trust value of an interacting party. In this paper, we propose an intelligent method for predicting the future trust value of a trusted entity. We propose the use of Z-number to represent both the trust value and its corresponding reliability. Subsequently, we apply Artificial Neural Network (ANN) to predict future trust values. We generate a large number of synthetic time series, with a view to model real-world trust values of trusted entity. We validate the working of our methodology using the generated time series.
Azadeh, A, Songhori, MH, Saberi, M, Hosseini, S, Salarvand, F & Pazhoheshfar, P 1970, 'Deterministic bundle pricing of two products with limited stock', 2014 Iranian Conference on Intelligent Systems (ICIS), 2014 Iranian Conference on Intelligent Systems (ICIS), IEEE, Bam, IRAN.
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Azadeh, A, Zadeh, SA, Saberi, M, Hussain, FK, Hussain, OK & IEEE 1970, 'A trust-based performance measurement modeling using DEA, T-norm and S-norm operators', 2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), IEEE International Conference on Fuzzy Systems, IEEE - Institute of Electrical and Electronics Engineers, Beijing, China, pp. 1913-1920.
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© 2014 IEEE. In today's highly dynamic economy and society, the performance evaluation of Decision Making Units (DMUs) is of high importance. This study presents an efficient model for analyzing the outputs of performance measurement methodologies by means of trust, which provides explicit qualitative scales instead of representing pure numerical data. The efficiency rate of the current, previous and coming years, as well as the average efficiency and standard deviation, are the five inputs for this model. These efficiency rates are calculated using Data Envelopment Analysis (DEA). The approach uses time series forecasting to predict the future efficiency rate. Furthermore, the implemented Auto Regressive (AR) model includes an Auto Correlation Function (ACF) for input selection. The model utilizes T-norms and S-norms as the final modeling tools. To illustrate the applicability of the proposed model, we apply it to a data set of DMUs. Ultimately, modified trust values for these DMUs are determined using the proposed approach.
Azadeh, A, Zia, NP, Saberi, M, Hussain, FK, Hussain, OK, Chang, E & IEEE 1970, 'Trust-Based Performance Measurement Using Fuzzy Operators', PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), IEEE Conference on Industrial Electronics and Applications, IEEE - Institute of Electrical and Electronics Engineers, Huangzhou, China, pp. 1701-1706.
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© 2014 IEEE. Performance assessment is a critical aspect for any organization, as it provides them with the means to measure their performance. Decision makers and top management need to gain a comprehensive view of the capabilities and performance of decision making units (DMU's) in order to make efficient decisions and beneficial improvements. In this study a novel model has been proposed to place performance assessment outputs in linguistic form, which utilize proper trust labels. Trust labels provide explicit qualitative scales, instead of representing pure numerical data, which are more meaningful for top manager. Fifteen scenarios are formed based on two main factors: the number of decision making units and the number of timeslots, which together form the basis of the proposed method for performance assessment. The efficiency rates of the current, previous and following years, along with the average efficiency and standard deviation, are the five inputs to this model. The approach uses time series forecasting to predict the future efficiency rate and is armed with an Auto Correlation Function (ACF) for input selection. The model utilizes fuzzy t-norm and s-norm as the final modeling tools. To show the applicability and superiority of the proposed model, it is applied to a data set provided by running a simulation structured by a unique logic.
Azari, B, Fatahi, B, Khabbaz, H & Vincent, P 1970, 'Elastic Visco-Plastic Behaviour of Soft Soils Improved with Preloading and Vertical Drains', Pavement Performance Monitoring, Modeling, and Management, Geo-Hubei 2014 International Conference on Sustainable Civil Infrastructure, American Society of Civil Engineers, China, pp. 17-24.
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In this study, a numerical solution adopting an elastic visco-plastic model with nonlinear creep function incorporated in the consolidation equations has been developed to investigate the time-dependent behavior of soft soil deposits improved with vertical drains and preloading. The employed elastic visco-plastic model is based on the framework of the modified Cam-Clay model capturing soil creep during excess pore water pressure dissipation. In addition, nonlinear variations of creep strain rate with stress and time and permeability variations during the consolidation process are considered. The developed numerical model is validated against Ska-Edeby test fill with the available long-term settlement and excess pore water pressure monitoring results for the soft clay deposit improved with vertical drains assisted preloading. Practicing engineers can adopt the developed code and guidelines to predict the long-term performance of embankments on soft soil improved using preloading. © ASCE 2014.
Bakker, S, Hausen, D, Selker, T, van den Hoven, E, Butz, A & Eggen, B 1970, 'Peripheral interaction', CHI '14 Extended Abstracts on Human Factors in Computing Systems, CHI '14: CHI Conference on Human Factors in Computing Systems, ACM, Toronto, ON, Canada, pp. 99-102.
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In everyday life, we are able to perform various activities simultaneously without consciously paying attention to them. For example, we can easily read a newspaper while drinking coffee. This latter activity takes place in our background or periphery of attention. Contrarily, interactions with computing technology usually require focused attention. With interactive technologies becoming increasingly present in the everyday environment, it is essential to explore how these technologies could be developed such that people can interact with them both in the focus and in the periphery of attention. This upcoming field of Peripheral Interaction aims to fluently embed interactive technology into everyday life. This workshop brings together researchers and practitioners from different disciplines to share research and design work and to further shape the field of Peripheral Interaction.
Baldwin, A, Johnson, D & Wyeth, PA 1970, 'The effect of multiplayer dynamic difficulty adjustment on the player experience of video games', CHI '14 Extended Abstracts on Human Factors in Computing Systems, CHI '14: CHI Conference on Human Factors in Computing Systems, ACM.
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Ball, JE & Ara, J 1970, 'Variability in design flood flows from alternative rainfall temporal patterns', Hydrology and Water Resources Symposium 2014, HWRS 2014 - Conference Proceedings, Hydrology and Water Resources Symposium and the International Conference on Water Resources and Environment Research, Engineers Australia, Perth, Western Australia, pp. 36-43.
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Design flood estimation remains a problem for many engineering hydrologists. Advice is required regarding design flood characteristics for design of culverts and bridges, urban drainage systems, flood mitigation levees, dam spillways, and many other situations. The important flood characteristic depends on the nature of the problem, but typically is either the peak flow rate, peak level, hydrograph rate of rise, flood volume, or system failure. As discussed by Ball et al. (2011), a common approach for estimation of the peak flow is application of catchment modelling systems with the frequency of rainfall intensity transferred to the predicted peak flow rate. This approach assumes the temporal variability of rainfall does not influence the frequency transferral. Using rainfall temporal patterns generated using the approach of Varga et al. (2009), 60 alternative non-dimensional patterns were generated. These alternative temporal patterns were combined with the Intensity-Frequency-Duration information at Sydney to generate storm bursts over the full range of frequencies. The resultant storm bursts were applied to a SWMM based model of the Centennial Park catchment in Sydney Australia. Predicted flows for the various frequencies were analysed to ascertain the variability in the predicted peak flow arising from the temporal pattern of the rainfall and hence the validity of the assumption that the temporal pattern of rainfall does not influence the transferral of the rainfall frequency to the predicted flow frequency. Presented in this paper are the results of an investigation into the validity of this assumption.
Banjar, A, Pupatwibul, P, Braun, R & Moulton, B 1970, 'Analysing the performance of the OpenFlow standard for software-defined networking using the OMNeT plus plus network simulator', 2014 ASIA-PACIFIC CONFERENCE ON COMPUTER AIDED SYSTEM ENGINEERING (APCASE), Asia-Pacific Conference on Computer Aided System Engineering (APCASE), IEEE, South Kuta, Indonesia, pp. 31-37.
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© 2014 IEEE. Software-defined networking (SDN) is a relatively advanced method for implementing communication networks. SDN separates the decision maker, called the control plane, which decides where packets are sent, from the underlying infrastructure, called the data plane, which forwards packets to the decided destination. A newly emerging standard for SDN is the OpenFlow standard, which includes a standardized protocol for communications between the control plane and the data plane. This study analyses the extent to which the location of OpenFlow controllers affect the performance of an OpenFlow network. The analysis is undertaken using the OMNeT++ INET Framework discrete events network simulator. By analyzing key network metrics including round-trip-time (RTT) and data transfer rate (DTR), the results indicate the location of the controller has a demonstrable affect the performance of the network.
Bano, M, Zowghi, D, Daneva, M, Svensson, RB, Franch, X, Madhavji, N & Marzcak, S 1970, 'Users' Voice and Service Selection: An Empirical Study', 2014 IEEE 4TH INTERNATIONAL WORKSHOP ON EMPIRICAL REQUIREMENTS ENGINEERING (EMPIRE), IEEE International Requirements Engineering Conference, IEEE, Karlskrona, Sweden, pp. 76-79.
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© 2014 IEEE. Service Oriented software development saves time by reusing existing services and integrates them to create a new system. But selecting a service that satisfies the requirements of all concerned stakeholders is a challenging task. The situation has been exacerbated within the past few years with huge number of services available that offer similar functionalities where the analysts require additional information for making better decision for service selection. User feedback analysis has recently gained a lot of attention for its potential benefits in various areas of requirements engineering. The aim of this research is to evaluate the impact of feedback provided by the end users of the services, on the decision making process for the service selection. In this paper we present an empirical study that utilizes user feedback analysis for selection of a service among 92 available services with similar functionalities. The results show that in scenarios with significant number of services, it is helpful for analysts to consider additional information to select optimally best matched service to the requirements.
Bano, M, Zowghi, D, Ikram, N, Daneva, M, Svensson, RB, Franch, X, Madhavji, N & Marzcak, S 1970, 'Systematic Reviews in Requirements Engineering: A Tertiary Study', 2014 IEEE 4TH INTERNATIONAL WORKSHOP ON EMPIRICAL REQUIREMENTS ENGINEERING (EMPIRE), IEEE International Requirements Engineering Conference, IEEE, Karlskrona, Sweden, pp. 9-16.
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© 2014 IEEE. There has been an increasing interest in conducting Systematic Literature Reviews (SLR) among Requirements Engineering (RE) researchers in recent years. However, so far there have been no tertiary studies conducted to provide a comprehensive overview of these published SLR in RE. In this paper we present a tertiary study of SLR that focus solely on RE related topics by following the guidelines of Evidence Based Software Engineering. We have conducted both automated search of major online sources and manual search of the RE and SLR related conferences and journals. Our tertiary study has identified 53 distinct systematic reviews published from 2006 to 2014 and reported in 64 publications. We have assessed the resulting SLR for their quality, and coverage of specific RE related topics thus identifying some gaps. We have observed that the quality of SLR in RE has been decreasing over the recent years. There is a strong need to replicate some of these SLR to increase the reliability of their results for future RE research.
Bargi, A, Da Xu, RY & Piccardi, M 1970, 'An Infinite Adaptive Online Learning Model for Segmentation and Classification of Streaming Data', 2014 22nd International Conference on Pattern Recognition, 2014 22nd International Conference on Pattern Recognition (ICPR), IEEE, Stockholm, Sweden, pp. 3440-3445.
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© 2014 IEEE. In recent years, the desire and need to understand streaming data has been increasing. Along with the constant flow of data, it is critical to classify and segment the observations on-the-fly without being limited to a rigid number of classes. In other words, the system needs to be adaptive to the streaming data and capable of updating its parameters to comply with natural changes. This interesting problem, however, is poorly addressed in the literature, as many of the common studies focus on offline classification over a pre-defined class set. In this paper, we propose a novel adaptive online system based on Markov switching models with hierarchical Dirichlet process priors. This infinite adaptive online approach is capable of segmenting and classifying the streaming data over infinite classes, while meeting the memory and delay constraints of streaming contexts. The model is further enhanced by a 'predictive batching' mechanism, that is able to divide the flowing data into batches of variable size, imitating the ground-truth segments. Experiments on two video datasets show significant performance of the proposed approach in frame-level accuracy, segmentation recall and precision, while determining the accurate number of classes in acceptable computational time.
Bargi, A, Da Xu, RY, Ghahramani, Z & Piccardi, M 1970, 'A non-parametric conditional factor regression model for multi-dimensional input and response', Journal of Machine Learning Research, International Conference on Artificial Intelligence and Statistics, JMLR, Reykjavik, Iceland, pp. 77-85.
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In this paper, we propose a non-parametric conditional factor regression (NCFR) model for domains with multi-dimensional input and response. NCFR enhances linear regression in two ways: a) introducing low-dimensional latent factors leading to dimensionality reduction and b) integrating the Indian Buffet Process as prior for the latent layer to dynamically derive an optimal number of sparse factors. Thanks to IBP's enhancements to the latent factors, NCFR can significantly avoid over-fitting even in the case of a very small sample size compared to the dimensionality. Experimental results on three diverse datasets comparing NCRF to a few baseline alternatives give evidence of its robust learning, remarkable predictive performance, good mixing and computational efficiency.
Barnes, B, Abeywardena, D, Kodagoda, S & Dissanayake, G 1970, 'Evaluation of feature detectors for KLT based feature tracking using the odroid U3', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, ARAA, Melbourne.
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Feature tracking is an integral part of most vision-based state estimation frameworks. However, tracking features at a sufficient frame rate is a challenging task for mobile robots such as Micro Aerial Vehicles (MAVs) due to their fast dynamics and limited on-board computing resources. Recent developments in smartphone processors have led to embedded computing platforms that are ideal on-board computers for MAV state estimation. This paper analyses the performance of a Kanade-Lucas-Thomasi (KLT) based feature tracker on a state-of-theart embedded computing platform suitable for on-board MAV state estimation. It compares the performance of different implementations of the feature tracker using four different lowcomplexity feature detectors. The experimental results presented herein may serve as guidelines for the selection of a feature detector, image resolution, framerate and feature quantity when developing on-board feature tracking systems based on ARM Cortex-A9 embedded computers.
Barthelmey, A, Störkle, D, Kuhlenkötter, B & Deuse, J 1970, 'Cyber Physical Systems for Life Cycle Continuous Technical Documentation of Manufacturing Facilities', Procedia CIRP, Elsevier BV, pp. 207-211.
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Continuous rising of requirements to create technical documentation results in high effort in terms of time and costs to create a complete and up to date documentation for manufacturers. In case of any technical modifications of machines the technical documentation also has to be updated. In fact these updates are lacking in most cases. In this paper, the authors propose a methodology for a self-organized creation of technical documentation to enable an up to date state throughout the Product Life Cycle. A complete and up to date technical documentation provides benefits to customers as well as suppliers of manufacturing facilities. The new approach is based on integration and communication of all components and modules such as machine tool, transportation and handling technology etc. via "Cyber Physical Systems". © 2014 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
Barua, B, Safaei, F & Abolhasan, M 1970, 'Error Exponent of Amplify and Forward Relay Networks in Presence of I.I.D. Interferers', 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall), 2014 IEEE 80th Vehicular Technology Conference (VTC Fall), IEEE, Vancouver, Canada.
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© 2014 IEEE. In this paper, we derive the random coding error exponent of amplify-and-forward (AF) relay networks in presence of arbitrary number of independent and identically distributed (i.i.d.) interferers both at the relay and the destination. Multiuser networks are common examples of interference limited networks. We derive the ergodic capacity of the network and present simulation results on the performance of the network where we compare the capacity and error exponent performance of interference limited networks with noise limited networks. Numerical results show that noise limited networks outperform interference limited networks even when only a very few interferers exist in the network.
Bastidas-Arteaga, E & Stewart, M 1970, 'Probabilistic cost-benefit analysis of climate change adaptation strategies for new RC structures exposed to chloride ingress', Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013, CRC Press, pp. 1503-1510.
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Reinforced concrete (RC) structures are subjected to environmental actions affecting their performance, serviceability and safety. Among these actions, chloride ingress leads to corrosion initiation and its interaction with service loading could reduce its operational life. Experimental evidence indicates that chloride ingress is highly influenced by weather conditions in the surrounding environment and therefore by climate change. Consequently, both structural design and maintenance should be adapted to these new environmental conditions. This work focuses on the assessment of the costs and benefits of a climate adaptation strategy for new RC structures placed in chloride-contaminated environments under various climate change scenarios. Their cost-effectiveness will be measured in terms of the Benefit-to-Cost Ratio (BCR) and the probability that BCR exceeds unity - i.e., Pr(BCR>1). BCR is selected because it seems to be a metric that government and policy makers are familiar with.The results indicate that the cost-effectiveness of a given adaptation strategy will depend mainly on exposure conditions and climate change scenarios. © 2013 Taylor & Francis Group, London.
BASTIDAS-ARTEAGA, E & STEWART, MG 1970, 'Climate adaptation of existing reinforced concrete structures in coastal areas', XIIIèmes JNGCGC, Dunkerque, Journées Nationales Génie Côtier - Génie Civil, Editions Paralia.
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Baweja, D, Benn, BT & Mills, JE 1970, 'The compressive strength of mortar made with cement containing limestone mineral addition, cement kiln dust and fly', Proceedings of the 23rd Australiasian Conference on the Mechanics of Structures and Materials, Australasian Conference on the Mechanics of Structures and Materials, Southern Cross University, Byron Bay, Australia, pp. 119-124.
Beck, D, Palu, C, Shah, A, Herold, T, Olivier, J, Valk, PJM, Delwel, R, Bohlander, SK, Wong, JW & Pimanda, JE 1970, 'Integrative Analysis of Lincrna Expression and Clinical Annotations Reveals a Signature of 17 Genes with Prognostic Significance in Acute Myeloid Leukemia (AML)', BLOOD, 56th Annual Meeting of the American-Society-of-Hematology, AMER SOC HEMATOLOGY, San Francisco, CA.
Belete, GF & Voinov, A 1970, 'Integration of models for low carbon economy', Proceedings - 7th International Congress on Environmental Modelling and Software: Bold Visions for Environmental Modeling, iEMSs 2014, pp. 1897-1904.
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Designing the transition to low carbon economy is a very complex task that touches upon a wide variety of climate-energy-economic systems. We need to explore the various possible climate mitigation scenarios at different temporal and spatial scales. However, due to the diversity of the involved disciplines it is difficult to find one complete and unified modeling approach that works equally well in all those different domains. As a result we have to select 'appropriate' models, which represent only specific aspects of the scenarios and assemble them 'coherently'. In this research we have identified some challenges in integrating multidisciplinary models; and have developed a conceptual design for a multidisciplinary model integration framework that can harmonize the technical, semantic, and dataset aspects of interoperability.
Benn, BT, Baweja, D & Mills, JE 1970, 'The influence of increased levels of limestone mineral addition used in combination with cement kiln dust on chloride ion penetration', RILEM International workshop on performance-based specification and control of concrete durability, RILEM International Workshop on Performance Based Specification and Control of Concrete Durability, RILEM, University of Zagreb, pp. 167-174.
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In 2010 the Australian cement standard, AS 3972 - General purpose and blended cement, increased the maximum mineral addition level to 7.5% from 5% and in addition allowed up to 5% of the mineral addition to be inorganic mineral materials derived from the clinker production process e.g. cement kiln dust. This paper will present the preliminary results of a research program that is investigating chloride ion ingress of mortar and concrete made with cement containing increased levels of mineral addition, where the mineral addition is a combination of limestone and cement kiln dust. The early results based on the Bulk Diffusion Test (ASTM C 1556/NT Build 443) and the Rapid Migration Test (AASHTO TP 64/NT Build 492) tests indicate that with a 10% mineral addition, based on limestone and 5% CKD, there does appear to be an increase in the rate of chloride penetration into mortar but the investigation will not be completed for at least another two years
Best, G & Anstee, S 1970, 'Motion planning for autonomous underwater vehicle supervision', Australasian Conference on Robotics and Automation, ACRA.
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Autonomous Underwater Vehicles (AUV) play an important role in surveying undersea environments. It is often essential for AUV operators to be able to supervise the progress of their vehicles during missions, to enable informed decisions in real-time. In this paper we consider supervision of an AUV executing a preplanned mission from a mobile surface vessel equipped with an acoustic communications system. We consider the surface vessel to be supervising effectively if it is stationary and located within a fixed maximum range from the AUV. When the supervising vessel is not stationary, we assume it is transiting to the next supervision point. We seek trajectory plans that maximise the proportion of time the supervising vessel is able to supervise the AUV effectively. In this paper we propose two solutions to this trajectory planning problem; a greedy planner, which instructs the supervising vessel to move when the AUV moves beyond its effective range but restricts the vessel to points along the path of the AUV; and a global optimiser based on a genetic algorithm that relaxes this limitation. Sea-trial and simulation results demonstrate the effectiveness of our proposed solutions.
Best, G & Moghadam, P 1970, 'An evaluation of multi-modal user interface elements for tablet-based robot teleoperation', Australasian Conference on Robotics and Automation, ACRA.
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For robot teleoperation systems, tablet and smart phone user interfaces provide portability and accessibility to allow anyone anywhere to connect to the system quickly and easily. This can be highly advantageous for disaster-relief robot systems where timing is critical. However, the small screen size and unconventional input methods mean that traditional teleoperation user interface elements, such as multiple visual windows, keyboards and mice, are no longer effective. In this paper we propose and investigate multi-modal user interface design principles as a solution for effective tablet-based teleoperation. We present our tablet user interface that features multiple complementary modalities of control and feedback mechanisms. It allows the operator to perceive the robot's environment and state by exciting their senses of vision, hearing and touch with overlaying visual displays, virtual 3-D audio and vibration feedback. The operator commands actions to the robot through the use of intuitive input methods utilising the touch screen and accelerometer. We analyse these design principles by performing a user study that focuses on finding what aspects of the multi-modal user interface affect the system performance during a navigation task. The study highlights advantages of multimodal user interfaces for robot teleoperation and makes several findings to be considered when developing similar systems.
Betete, GF, Voinov, A & Holst, N 1970, 'An architecture for integration of multidisciplinary models', Proceedings - 7th International Congress on Environmental Modelling and Software: Bold Visions for Environmental Modeling, iEMSs 2014, pp. 1251-1259.
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Integrating multidisciplinary models requires linking models: that may operate at different temporal and spatial scales; developed using different methodologies, tools and techniques; different levels of complexity; calibrated for different ranges of inputs and outputs, etc. On the other hand, integration of models requires us to address technical, semantic, and dataset aspects of interoperability. So we need a genuine techniques that enable us to integrate various domain specific models for interdisciplinary study. In this research work, we investigated best practices of System Integration, Enterprise Application Integration, and Integration Design Patterns. We developed an architecture of a multidisciplinary model integration framework that brings these three aspects of integration together. Service-oriented-based platform independent architecture that enables to establish loosely coupled dependency among various models is presented.
Bil, C, Hadgraft, R & Ruamtham, P 1970, 'Aerospace engineering: Investigating student perceptions and industry realities', 29th Congress of the International Council of the Aeronautical Sciences, ICAS 2014.
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Aerospace students have different reasons for choosing their university program. Knowing their perceptions of the aerospace industry and their expectations in their future career can assist in determining the best teaching styles and program structures. A survey was conducted among aerospace students at RMIT University involving all four year levels in the Bachelor of Engineering (Aerospace Engineering) program. The results indicate that there is a mismatch between what the university tries to teach and what students actually learn. Students felt that they have been taught more about technical and analytical skills but less about business practices and ethics/social issues even though these were underlined by both academics and industry.
Binti Adnan, NA, Yamashita, S, Devitt, SJ & Nemoto, K 1970, '2D Qubit Layout Optimization for Topological Quantum Computation', REVERSIBLE COMPUTATION, RC 2014, 6th International Conference on Reversible Computation (RC), Springer International Publishing, Kyoto, JAPAN, pp. 176-188.
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Biswas, J, Ni, W, Liu, RP, Collings, IB & Jha, SK 1970, 'Low complexity user pairing and resource allocation of heterogeneous users for uplink virtual MIMO system over LTE-A network', 2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, Istanbul, Turkey, pp. 1903-1908.
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© 2014 IEEE. Virtual Multiple-Input Multiple-Output (MIMO) is a promising uplink technology that can meet the throughput demand of Long-Term Evolution-Advanced (LTE-A) systems. However, the complexity of scheduling virtual MIMO is a challenge; existing virtual MIMO is therefore limited to best effort applications. We investigate the resource allocation and scheduling problem in a heterogeneous virtual MIMO system where delay sensitive applications are present. The goal is to maximize the system throughput while maintaining delay bound for delay sensitive traffic. To tackle the complexity challenge, we propose two low-complexity suboptimal algorithms, where the key idea is to reduce the search space and iteratively minimize the rate loss respectively. Simulation results show that the rate loss minimization based heuristic algorithm converges to within 99% of the optimal throughput on average and maintains delay bound for delay sensitive users. It also achieves almost the same fairness performance as the optimal solution.
Bjarnadottir, S, Li, Y & Stewart, M 1970, 'An assessment of damage costs due to hurricane wind and hurricane-induced storm surge considering the impacts of climate change', Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013, CRC Press, pp. 1247-1254.
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This paper presents a framework to assess the potential hurricane damage risks to residential construction. Studies show that hurricane wind, frequency and/or hurricane-induced surge may change as a result of climate change; therefore, hurricane risk assessments should be capable of accounting for the impacts climate change. The framework includes a hurricane wind field model, hurricane-induced surge height model, and hurricane vulnerability models. Three case study locations (Miami-Dade County, Florida, New Hanover County, North Carolina, Galveston County, Texas) are presented for two types of analyses: Annual Regional Loss Estimation and Event-Based Regional Loss Estimation. Demographic information, such as median house value and changes in house numbers, and distribution of houses for different exposures, is used to estimate the time-dependent probability of damage with or without possible climate change induced change in wind speed, frequency, and/or surge height. Through both analyses it was found that climate change may have a significant impact on regional hurricane damage losses. © 2013 Taylor & Francis Group, London.
Bjarnadottir, S, Li, Y, Stewart, M & Fang, S 1970, 'Hurricane risk assessment of power distribution poles considering the impact of climate change', Safety, Reliability, Risk and Life-Cycle Performance of Structures and Infrastructures - Proceedings of the 11th International Conference on Structural Safety and Reliability, ICOSSAR 2013, CRC Press, pp. 1447-1454.
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Storm related power outages cause approximately $270 million in repair costs, annually, in the United States (U.S.). Hurricane intensity or/and frequency may change due to the increase in sea surface temperature as a result of climate change. Current hurricane risk assessments of the power distribution system consider only current climate conditions; therefore, it is becoming increasingly important to explore the effects a changing climate may have on the failure rates of power distribution poles. This paper proposes a framework to evaluate the vulnerability of timber power distribution poles to hurricanes under the potential impact of climate change. The framework includes a reliability analysis of the designed distribution poles using fragility analysis, effect of degradation of timber poles, probabilistic wind models, and an assessment of the potential impacts of climate change on annual failure rates of distribution poles. This paper finds that climate change may have a significant effect on the structural failure probability of distribution poles. © 2013 Taylor & Francis Group, London.
Bluff, A & Johnston, A 1970, 'Creative Control of Granular Synthesis Using Fluid Simulation & Motion Tracking', Proceedings of the 2014 International Workshop on Movement and Computing, MOCO '14: International Workshop on Movement and Computing, ACM, Paris France, pp. 150-153.
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This paper describes the development of an audio-visual performance system which applies 'reality based interaction' techniques. The real-time gestures and sounds of a musician playing an acoustic instrument are tracked and translated into forces which act on a fluid simulation. The simulation is visualised and also sonified using granular synthesis. Several strategies for linking live performance, fluid behaviour and generated sounds and visuals are discussed.
Borzeshi, EZ, Dehghan, A, Piccardi, M & Shah, M 1970, 'Complex event recognition by latent temporal models of concepts', 2014 IEEE International Conference on Image Processing (ICIP), 2014 IEEE International Conference on Image Processing (ICIP), IEEE, Paris, pp. 2373-2377.
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© 2014 IEEE. Complex event recognition is an expanding research area aiming to recognize entities of high-level semantics in videos. Typical approaches exploit the so-called 'bags' of spatiotemporal features such as STIP, ISA and DTF-HOG; yet, more recently, the notion of concept has emerged as an alternative, intermediate representation with greater descriptive power, and 'bags of concepts' have been used for recognition. In this paper we argue that concepts in an event tend to articulate over a discernible temporal structure and we exploit a temporal model using the scores of concept detectors as measurements. In addition, we propose several heuristics to improve the initialization of the model's latent states and take advantage of the time-sparsity of the concepts. Experimental results on videos from the challenging TRECVID MED 2012 dataset show that the proposed approach achieves an improvement in average precision of 8.92% over comparable bags of concepts, thus validating the use of temporal structure over concepts for complex event recognition.
Bowie, D, Faichney, J & Blumenstein, M 1970, 'Multi-Directional Weighted Interpolation for Wi-Fi Localisation', Advances in Intelligent Systems and Computing, Robot Intelligence Technology and Applications 2: the 2nd International Conference on Robot Intelligence Technology and Applications, Springer International Publishing, pp. 105-112.
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© Springer International Publishing Switzerland 2014. The rise in popularity of unmanned autonomous vehicles (UAV) has created a need for accurate positioning systems. Due to the indoor limitations of the Global Positioning System (GPS), research has focused on other technologies which could be used in this landscape with Wi-Fi localisation emerging as a popular option. When implementing such a system, it is necessary to find an equilibrium between the desired level of final precision, and the time and money spent training the system. We propose Multi-Directional Weighted Interpolation (MDWI), a probabilistic-based weighting mechanism to predict unseen locations. Our results show that MDWI uses half the number of training points whilst increasing accuracy by up to 24%.
Braun, RM, Pupatwibul, P & Banjar, A 1970, 'Performance Evaluation of TCP/IP Vs.OpenFlow in INET Framework Using Omnet++, and Implementation of Intelligent Computational Model to Provide Autonomous Behavior', The Asian Conference on Technology, Information & Society 2014 (ACTIS 2014), The Asian Conference on Technology, Information & Society 2014 (ACTIS 2014), IAFOR International Academic Forumn, Osaka, Japan.
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Analysing performance of transmitting data from a source to a certain destination is an interesting task. One of the most reliable networking protocol suites is the Transport Control Protocol and the Internet Protocol (TCP/IP), which will be studied against a new management paradigm called Software Defined Networking (SDN). SDN is an emerging programmable network architecture, where network control plane is decoupled from forwarding plane. SDN forwarding methods are based on flows, which operate in contrast to conventional routing methods, such as TCP/IP routing table and MAC learning table. Moreover, OpenFlow protocol has efficient forwarding methods to push L2-L4 functions which are simplified into a Flow-Table(s) abstraction. This paper discusses the relationship between the processes of forwarding packets in conventional IP routing table vs. OpenFlow-table and evaluates the performance between both implementations using INET framework in OMNeT++. While OpenFlow performs slightly better than TCP with respect to mean round trip time (RTT). The results also proved the correctness of OpenFlow implemented simulation model. Finally, we propose the three phases of implementing a Distributed Active Information Model (DAIM) within OpenFlow to support an autonomic network management.
Brennan, J, Ding, G, Wonschik, C-R & Vessalas, K 1970, 'A Closed-Loop System of Construction and Demolition Waste Recycling', Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), 31st International Symposium on Automation and Robotics in Construction, International Association for Automation and Robotics in Construction (IAARC), Sydney, Australia, pp. 499-505.
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This study discusses the construction and demolition waste recycling stream both in Australia and in Germany. Differences and commonalities in commercial practices between the two countries are outlined, and open research questions are introduced. Following McDonough and Braungart’s cradle-to-cradle theorem, and ideal closed-loop system within the building life cycle is proposed. Deficiencies and efficiencies in the closed-loop system are reported and assessed and related parameters promoting or hindering the closed-loop system are evaluated. Results of the study demonstrate that reusable and non-reusable materials generated from construction and demolition operations, which are destined for landfill, are categorized differently between the recycling systems used in Australia and Germany.
Bressan, N, McGregor, C, Smith, K, Lecce, L & James, A 1970, 'Heart rate variability as an indicator for morphine pharmacokinetics and pharmacodynamics in critically ill newborn infants', 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Chicago, IL, pp. 5719-5722.
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Brock, RE, Iacopi, F, Iacopi, A, Hold, L & Dauskardt, RH 1970, 'Highly compressed nano-layers in epitaxial silicon carbide membranes for MEMs sensors', IEEE International Interconnect Technology Conference, 2014 IEEE International Interconnect Technology Conference / Advanced Metallization Conference (IITC/AMC), IEEE, USA, pp. 241-244.
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Through a novel methodology for evaluating layer-by-layer residual stresses in epitaxial silicon carbide films with resolution down to 10 nm, we indicate the existence of a highly compressed interfacial nano-layer between the films and their silicon substrates. This layer is consistently present underneath all types of silicon carbide films examined herein, regardless of the extent of residual tensile stress measured in the full thickness of the films, which varies from 300 MPa up to 1300 MPa. We link this nano-layer to the carbonisation step of the film growth process and we discuss in detail the implications in terms of fracture behaviour by bulge testing of micro-machined membranes. © 2014 IEEE.
Brodka, P, Magnani, M & Musial, K 1970, 'Message from SNAA 2014 program chairs', 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), IEEE, p. xxxiv.
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Bu, Z, Wu, Z, Qian, L, Cao, J & Xu, G 1970, 'A backbone extraction method with Local Search for complex weighted networks', 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), IEEE, Beijing, China, pp. 85-88.
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© 2014 IEEE. The backbone is the natural abstraction of a complex network, which can help people to understand it in a more simplified form. Backbone extraction becomes more challenging as many networks are evolving into large scale and the weight distributions are spanning several orders of magnitude. Traditional filter-based methods tend to include many outliers into the backbone. What is more, they often suffer from the computational inefficiency-the exhaustive search of all nodes or edges is often prohibitively expensive. In this work, we propose a Local Search based Backbone Extraction Heuristic (LS-BEH) to find the backbone in a complex weighted network. First, a strict filtering rule is carefully designed to determine edges to be preserved or discarded. Second, we present a local search model to examine part of edges in an iterative way. Experimental results on two real-life networks demonstrate the advantage of LS-BEH over the classic disparity filter method by either effectiveness or efficiency validity.
Budka, M, Eastwood, M, Gabrys, B, Kadlec, P, Salvador, MM, Schwan, S, Tsakonas, A & Zliobaite, I 1970, 'Advances in Intelligent Data Analysis XIII', ADVANCES IN INTELLIGENT DATA ANALYSIS XIII, 13th International Symposium on Intelligent Data Analysis (IDA), Springer International Publishing, Fac Club, Leuven, BELGIUM, pp. 49-60.
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Burdon, S 1970, 'Digital Disruption's Impact on Education', National Economic Review 2014, Gap V - Annual Growth Summit, National Economic Review 2014, Global Access Partners Pty Ltd, Writing Partners Pty Ltd,, NSW Parliament House, Sydney, Australia, pp. 51-55.
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The presentation covered four themes: how to ‘catch the next wave of the digital revolution’, the new skills required by Australians of all ages, how Australia can rebuild its higher education business model, and how to take best advantage of exciting transformational times.
Busch, P, Smith, S, Gill, AQ, Harris, P, Fakieh, B & Blount, Y 1970, 'A study of government cloud adoption: The Australian context', Proceedings of the 25th Australasian Conference on Information Systems, ACIS 2014, Australasian Conference on Information Systems, ACIS, Auckland, New Zealand, pp. 1-10.
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The literature is scant around the take up rates of cloud computing by organisations. Cloud computing is nonetheless expected to be a major computing paradigm in the future. The benefits of the cloud vis-à-vis outsourcing many current in-house IT services and applications - both hardware and software based, are numerous. However, governments and many enterprises are still relatively unclear on the motives for adopting cloud technologies and the consequent benefits gained in a real-world operational environment. This paper examines the results from a survey conducted at a forum of senior government IT managers and their views towards cloud computing adoption. The paper provides insights both from technological and non-technological perspectives in the overall context of cloud adoption in Australian government enterprises. Dr. Peter Busch; Dr. Stephen Smith, Dr. Asif Gill, Dr. Pedro Harris, Bahjat Fakieh, Dr. Yvette Blount
Cabrera-Espana, FJ, Rahman, BMA & Agrawal, A 1970, 'Study of the optical properties of a micro pillar array solar cell for different configurations', Numerical Simulation of Optoelectronic Devices, 2014, 14th International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD 2014), IEEE, Palma de Mallorca, SPAIN, pp. 67-68.
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Can Ding, Guo, YJ, Pei-Yuan Qin & Yintang Yang 1970, 'A compact phase-shifting unit for phased array antennas', 2014 44th European Microwave Conference, 2014 44th European Microwave Conference (EuMC), IEEE.
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Carmichael, MG, Moutrie, B & Liu, D 1970, 'A framework for task-based evaluation of robotic coworkers', 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), IEEE, Singapore, pp. 1362-1367.
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© 2014 IEEE. Compared to a robotic system that performs a task alone, a robot coworker performing tasks in collaboration with a human operator is subject to additional constraints which can limit the ability of the system to perform the task as required. This work presents a framework for analyzing the ability of a robotic coworker to perform specific tasks in collaboration with a human. The framework allows systematic evaluation of robotic systems based on traditional robot performance measures such as reachable workspace and payload capacity, as well as considering additional factors which arise due to the task being performed collaboratively with a human; such as the reach and strength of the human, human-robot collision, and satisfying desired assistance paradigms. Application of the framework is demonstrated in a case study analyzing a robot designed to assist a human during a materials handling task.
Carper, KL 1970, '10th International Conference on Shock & Impact Loads on Structures', Journal of Performance of Constructed Facilities, International Conference on Shock and Impact Loads on Structures, American Society of Civil Engineers (ASCE), Singapore, pp. 205-205.
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Concrete-filled double skin steel tubes (CFDST) have widely been used in constructing high-rise buildings, arch bridges and factories. Much research has been done to study its behaviour under axial compression. However, limited information can be found on its performance under lateral impact loading, especially under blast loading. In this paper, numerical models are developed for CFDST with two different cross sections: one is with CHS (circular hollow section) outer and CHS (circular hollow section) inner, and the other one is with SHS (square hollow section) outer and SHS (square hollow section) inner. Conventional concrete is filled in double skin steel tubes. Different blast loadings are applied on the surface of these columns for dynamic analysis. In addition, different axial loads are also applied on the columns to simulate the combined load condition. The displacement-time history obtained from each simulation is recorded and then compared. The key factors that determine the performance of CFDST columns under blast loading are discussed.
Cetindamar, D & Kozanoglu, H 1970, 'Fostering impact investment in developing countries', PICMET 2014 - Portland International Center for Management of Engineering and Technology, Proceedings: Infrastructure and Service Integration, Portland International Conference on Management of Engineering & Technology (PICMET), IEEE, Portland Int Ctr Management Engn & Technol, Japan Chapter, Kanazawa, JAPAN, pp. 2735-2739.
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The paper will present the development of impact investment as an industry and then specifically focus on the ways of fostering such a financial instrument in developing countries. Similar to the venture capital firms supporting innovation in high technology firms, impact investment firms are spurring social innovation in a vast variety of countries. Such a financial instrument might have high potential in developing countries that are facing with many social and environmental problems besides economic ones. Based on the experiences in advanced countries, we will attempt to compare the conditions of advanced and developing countries in terms of building and running impact investment industry. As impact investment is a unique financial institution, we will highlight how developing countries can learn from the experience of advanced countries and develop their own impact investment industry in order to foster their social innovation capability.
Chaczko, Z & Alenazy, W 1970, 'The Extended Technology Acceptance Model and the Design of the 21st Century Classroom', 2014 ASIA-PACIFIC CONFERENCE ON COMPUTER AIDED SYSTEM ENGINEERING (APCASE), Asia-Pacific Conference on Computer Aided System Engineering (APCASE), IEEE CONFERENCE PUBLICATIONS, South Kuta, pp. 117-121.
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Recent technological models advancements have led to the need to adjust education methods in many educational institutions. Since the start of the use of technology in education, the approach gained a lot of attention from the education sectors, and has been applied across many areas in the academic field. The idea is to support the acceptance of the technology implementation by modifying TAM model with the pre-acknowledgement of technology users using an additional element. This additional element should serve to increase the motivation level of instructors and students alike. Moreover, it should grow the need for using modern technology in the education environment. The result of these changes should be to spur on those resistant to the adoption of technology to adopt and incorporate it into their systems.
Chaczko, Z, Alenazy, W, Carrion, L & Tran, A 1970, 'Augmented Reality based monitoring of the remote-lab', 2014 Information Technology Based Higher Education and Training (ITHET), 2014 Information Technology Based Higher Education and Training (ITHET), IEEE, York, United Kingdom.
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© 2014 IEEE. Augmented Reality technology approach has been being adopted within the education sector. The advanced technology tools in many classes have the potential changed of users' attitudes toward the pedagogical and psychological objectives and goals. Moreover, augmented reality has not elicited so much attention within the corridors of education sector as it is now. In order to improve the interactive effectiveness in the smart classroom environment, there is a demand to tailor the innovation technology and align it with every changing requirements and capabilities of various users. Consequently, the educators are increasingly finding augmented reality suitable for deployment in education. In this paper, a project shows how Augmented Reality utilised with overlay Smart-Grid can support the learning process in attractive methods for monitoring events of captured scenes in remote-lab such as video stream, Web-link from smart devices' camera.
Chaczko, Z, Braun, R, Carrion, L & Dagher, J 1970, 'Design of unit testing using xUnit.net', 2014 Information Technology Based Higher Education and Training (ITHET), 2014 Information Technology Based Higher Education and Training (ITHET), IEEE, York, United Kingdom, pp. 1-9.
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© 2014 IEEE. This paper presents an in-depth study of designing, implementing and executing unit test cases using the xUnit.net testing tool in general and in the context of the TeleMedicine Cluster System project within the ICT Design subject delivered at UTS, Australia. The case studies are based on the utilisation of the tool in Visual Basic 2012 using the.NET framework for C#. The paper elucidates on how and why the xUnit framework can be applied in the context of the TMC system, and how it can be tailored to meet the testing ad integration needs of the delivery of TMC system.
Chaczko, Z, Carrion, L, Alenazy, W & Mu, M 1970, 'Development of an expert system to assist in Resource Management', 2014 Information Technology Based Higher Education and Training (ITHET), 2014 Information Technology Based Higher Education and Training (ITHET), IEEE, York, United Kingdom.
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© 2014 IEEE. This paper aims to demonstrate an idea of utilizing Kohonen Maps as a tool to portray and study resource allocations when constructing an expert system to assist in Resource Management. The context of work encompasses resource allocation and management tasks related to design of courses, as well as, various teaching and learning projects. The key aspect is to show the design of an expert system for resource allocation with the use of Kohonen Maps as an alternative way to visualise the demand and availability of project resources.
Chai, R, Tran, Y, Craig, A, Ling, SH, Nguyen, HT & IEEE 1970, 'Enhancing Accuracy of Mental Fatigue Classification using Advanced Computational Intelligence in an Electroencephalography System', 2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Chicago, IL, USA, pp. 1338-1341.
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© 2014 IEEE. A system using electroencephalography (EEG) signals could enhance the detection of mental fatigue while driving a vehicle. This paper examines the classification between fatigue and alert states using an autoregressive (AR) model-based power spectral density (PSD) as the features extraction method and fuzzy particle swarm optimization with cross mutated of artificial neural network (FPSOCM-ANN) as the classification method. Using 32-EEG channels, results indicated an improved overall specificity from 76.99% to 82.02%, an improved sensitivity from 74.92 to 78.99% and an improved accuracy from 75.95% to 80.51% when compared to previous studies. The classification using fewer EEG channels, with eleven frontal sites resulted in 77.52% for specificity, 73.78% for sensitivity and 75.65% accuracy being achieved. For ergonomic reasons, the configuration with fewer EEG channels will enhance capacity to monitor fatigue as there is less set-up time required.
Chaiwongsai, J & Miyanaga, Y 1970, 'Improved tone model for low complexity tone recognition', 2014 Proceedings of the SICE Annual Conference (SICE), 2014 53rd Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), IEEE.
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Chakraborty, S, Paul, M, Murshed, M & Ali, M 1970, 'A novel video coding scheme using a scene adaptive non-parametric background model', 2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP), 2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP), IEEE, Jakarta, INDONESIA.
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Chakraborty, S, Paul, M, Murshed, M & Ali, M 1970, 'An efficient video coding technique using a novel non-parametric background model', 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), IEEE, Chengdu, PEOPLES R CHINA.
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Chan, ENK, Huynh, P & Nguyen, TT 1970, 'An investigation on the effects of chamber wall's elasticity on blood flow in a LVAD pump', Proceedings of the 19th Australasian Fluid Mechanics Conference, AFMC 2014, Australasian Fluid Mechanics Conference, RMIT University, Melbourne, Australia.
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Left Ventricular Assist Device (LVAD) is a pump that is designed to provide life support to patients with end stage heart failure. In an effort to ensure the safety of LVAD, the pumping mechanics must not exert excessive stress on the blood or hemolysis would occur. This study investigates the effects of chamber wall's elasticity (isotropic) from common materials on blood flow in a LVAD, especially the shear stress resulted therein. The materials considered are titanium, diamond-like carbon (DLC), 2-methacryloyloxy ethyl phosphorylcholine (MPC) polymer, segmented polyurethane (SPU), polyurethane (PEU), and a material with properties corresponding to blood vessels, which is used as the reference. The study employs a Fluid Structure Interaction (FSI) simulation software suite to couple Computational Fluid Dynamics (CFD) with mechanical simulation (ANSYS). The test system is a centrifugal pump based on a 2012-Jarvik Patent. The flow through the pump is driven by an impeller rotating at set speed to achieve a pre-set blood flowrate. The results show that there is no significant difference in turbulent dissipation rate among the different chamber-wall materials, with PEU giving closest figure to the blood vessels'. On the other hand, regarding wall shear stress which is an important factor in hemolysis, titanium, DLC and SPU result in similar maximum values, whereas MPC, PEU and blood vessel material give noticeably lower ones.
Chanda, S, Bu, G, Guan, H, Jo, J, Pal, U, Loo, Y-C & Blumenstein, M 1970, 'Automatic Bridge Crack Detection – A Texture Analysis-Based Approach', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), IAPR TC Workshop on Artificial Neural Networks in Pattern Recognition, Springer Berlin Heidelberg, Montreal, QC, Canada, pp. 193-203.
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© Springer International Publishing Switzerland 2014. To date, identifying cracks in bridges and determining bridge conditions primarily involve manual labour. Bridge inspection by human experts has some drawbacks such as the inability to physically examine all parts of the bridge, sole dependency on the expert knowledge of the bridge inspector. Moreover it requires proper training of the human resource and overall it is not cost effective. This article proposes an automatic bridge inspection approach exploiting wavelet-based image features along with Support Vector Machines for automatic detection of cracks in bridge images. A two-stage approach is followed, where in the first stage a decision is made as whether an image should undergo a pre-processing step (depending on image characteristics), and later in the second stage, wavelet features are extracted from the image using a sliding window-based technique. We obtained an overall accuracy of 92.11% while conducting experiments even on noisy and complex bridge images.
Chandran, D 1970, 'E-governance for efficient management to reduce corruption:An ICT driven paradigm', 2014 World Congress in Computer Science and Computer Engineering and Applied Computing, World Congress in Computer Science, Computer Engineering, and Applied Computing, CSREA Press, USA, Las Vegas, California, USA, pp. 88-94.
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E-Governance to track and curtail unaccounted money is discussed. A new routine called Money card system using AAA for fund transfer is proposed. SaaS provided by cloud is used to compute the total possible income and expenditure. Service Oriented Architecture deployed in cloud architecture is proposed.
Chang, X, Nie, F, Ma, Z, Yang, Y & Zhou, X 1970, 'A Convex Formulation for Spectral Shrunk Clustering', Proceedings of the National Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI, Austin Texas, USA, pp. 2532-2538.
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Spectral clustering is a fundamental technique in the field of data miningand information processing. Most existing spectral clustering algorithmsintegrate dimensionality reduction into the clustering process assisted bymanifold learning in the original space. However, the manifold inreduced-dimensional subspace is likely to exhibit altered properties incontrast with the original space. Thus, applying manifold information obtainedfrom the original space to the clustering process in a low-dimensional subspaceis prone to inferior performance. Aiming to address this issue, we propose anovel convex algorithm that mines the manifold structure in the low-dimensionalsubspace. In addition, our unified learning process makes the manifold learningparticularly tailored for the clustering. Compared with other related methods,the proposed algorithm results in more structured clustering result. Tovalidate the efficacy of the proposed algorithm, we perform extensiveexperiments on several benchmark datasets in comparison with somestate-of-the-art clustering approaches. The experimental results demonstratethat the proposed algorithm has quite promising clustering performance.
Chang, X, Nie, F, Yang, Y & Huang, H 1970, 'A Convex Formulation for Semi-Supervised Multi-Label Feature Selection', Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence (AAAI), Canada, pp. 1171-1177.
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Explosive growth of multimedia data has brought challenge of how to efficiently browse, retrieve and organize these data. Under this circumstance, different approaches have been proposed to facilitate multimedia analysis. Several semi-supervised feature selection algorithms have been proposed to exploit both labeled and unlabeled data. However, they are implemented based on graphs, such that they cannot handle large-scale datasets. How to conduct semi-supervised feature selection on large-scale datasets has become a challenging research problem. Moreover, existing multi-label feature selection algorithms rely on eigen-decomposition with heavy computational burden, which further prevent current feature selection algorithms from being applied for big data. In this paper, we propose a novel convex semi-supervised multi-label feature selection algorithm, which can be applied to large-scale datasets. We evaluate performance of the proposed algorithm over five benchmark datasets and compare the results with state-of-the-art supervised and semi-supervised feature selection algorithms as well as baseline using all features. The experimental results demonstrate that our proposed algorithm consistently achieve superiors performances.
Che, E, Tuan, HD, Tam, HHM & Nguyen, HH 1970, 'Maximisation of sum rate in cognitive multi-cell wireless networks with QoS constraints', 2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS), 2014 8th International Conference on Signal Processing and Communication Systems (ICSPCS), IEEE, Gold Coast, QLD.
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This paper is concerned with the downlink transmission in cognitive multiple-input single-output (MISO) multi-cell wireless networks. Subject to various interference tolerance and quality-of-services (QoF) constraints, the problem of sum rate maximisation is recast by concave programming, for which our previously developed Frank-and-Wolfe (FW) type algorithm is applicable and shown to achieve excellent performance.
Chen, H, Zhang, G, Lu, J & Zhu, D 1970, 'A Two-Step Agglomerative Hierarchical Clustering Method for Patent Time-Dependent Data', The 7th International Conference on Intelligent Systems and Knowledge Engineering, International Conference on Intelligent Systems and Knowledge Engineering, Springer Berlin Heidelberg, Beijing, China, pp. 111-121.
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Patent data has time-dependent property and also semantic attributes. Technology clustering based on patent time-dependent data which processed by trend analysis has been used to help technologies relationships identification. However, the raw patent data carries more features than processed data. This paper aims to develop a new methodology to cluster patent frequency data based on its time-related properties. To handle time-dependent attributes of patent data, this study first compares it with typical time-series data to propose preferable similarity measurement approach. It then presents a two-steps agglomerative hierarchical technology clustering method to cluster original patent time-dependent data directly. Finally, a case study using communication-related patents is given to illustrate the clustering method.
Chen, J, Liu, B, Gui, L, Sun, F & Zhou, H 1970, 'Engineering Link Utilization in Cellular Offloading Oriented VANETs', 2015 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2015 - 2015 IEEE Global Communications Conference, IEEE.
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© 2015 IEEE. At present, single network and technology could be impotent when facing: 1) the rocketing proliferation of mobile devices; and 2) the heterogeneity of data services and users' contexts. Therefore, offloading some specific traffic to other networks is a natural yet effective solution. To this end, this paper engineers the cellular offloading oriented vehicular ad hoc networks (VANETs), which concentrate on offloading users' bandwidth-hungry traffic in vehicular environment. Specifically, a two-phase resource allocation process is adopted, where utilization patterns of both wireless and backhaul links are studied for the sake of resource exploitation efficiency, with considerations on practical issues including link quality variety, fairness and caching. The former is formulated as an integer linear programming (ILP) problem aiming at system throughput maximization, and a heuristic algorithm is developed as solution due to the problem's NP-hardness nature. The latter's objective is identified and a simple implementation algorithm is designed correspondingly. Extensive simulations are conducted and the results show the effectiveness and efficiency of the proposed methods.
Chen, J, Liu, B, Zhou, H, Wu, Y & Gui, L 1970, 'When vehicles meet TV white space: A QoS guaranteed dynamic spectrum access approach for VANET', 2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, 2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), IEEE, Beijing, PEOPLES R CHINA.
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Chen, S-A, Chen, C-H, Lin, J-W, Ko, L-W & Lin, C-T 1970, 'Gaming controlling via brain-computer interface using multiple physiological signals', 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2014 IEEE International Conference on Systems, Man and Cybernetics - SMC, IEEE, San Diego, CA, USA, pp. 3156-3159.
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© 2014 IEEE. using physiological signals to control braincomputer interface (BCI) becomes more popular. Among many kinds of physiological signals, Electrooculography (EOG) signal is more stable which can be used to control BCI systems based on eye movement detection and signal processing methods. Also, the use of electroencephalographic (EEG) signals has become the most common approach for a BCI because of their usability and strong reliability. In this paper, we described a signal processing method, which uses a wireless EEG-based BCI system designed to be worn near forehead that can detect both EEG and EOG signals, for detecting eye movements to have 9 direction controls (via EOG) and one action of execution (via EEG). This system included a wireless EEG signal acquisition device, a mechanism that can be worn stably, and an application program (APP) with signal processing algorithms. This algorithm and its classification procedure provided an effective method for identifying eye movements and attention. Finally, we designed a baseball game to test the BCI system. The results demonstrated that player can control the game well with high accuracy.
Cheng, J, Jiang, Z, Zhang, Y & Kim, J 1970, 'Toward robust linear SLAM', 2014 IEEE International Conference on Mechatronics and Automation, 2014 IEEE International Conference on Mechatronics and Automation (ICMA), IEEE, IEEE, pp. 705-710.
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Cheng, J, Kim, J, Jiang, Z & Yang, X 1970, 'Compressed Unscented Kalman filter-based SLAM', 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO 2014), 2014 IEEE International Conference on Robotics and Biomimetics (ROBIO), IEEE, IEEE.
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Cheng, J, Kim, J, Jiang, Z & Zhang, W 1970, 'Tightly Coupled SLAM/GNSS for Land Vehicle Navigation', Lecture Notes in Electrical Engineering, Springer Berlin Heidelberg, pp. 721-733.
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Simultaneous Localization and Mapping (SLAM) algorithm takes the advantages of online map building without any prior environment information and simultaneously location determining with the generated map. This paper proposes an innovative navigation algorithm, tightly coupling of SLAM and GNSS. If GNSS signals are available, the GNSS raw measurements are fused with SLAM measurements to correct the errors of the system's pose as well as reducing the uncertainty of the map. In the GNSS-denied environments, the system operates at the stand-alone SLAM to provide continuous navigation solutions. Considering the computational cost problem, Compressed Extended Kalman Filter (CEKF) is employed to the multi-sensor data fusion. The simulation of the proposed algorithm is implemented in the simulated large-scale environment. Results demonstrate that the proposed technique provides a high accuracy of trajectory tracking in complex environments, and improves greatly the performance of data association and loop-closure detection. © 2014 Springer-Verlag.
Chiu, C-Y, Chen, C-Y, Lin, Y-Y, Chen, S-A & Lin, C-T 1970, 'Using a Novel LDA-Ensemble Framework to Classification of Motor Imagery Tasks for Brain-Computer Interface Applications.', ICS, International Computer Symposium (ICS), IOS Press, Tunghai University, Taichung, Taiwan, pp. 150-156.
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© 2015 The authors and IOS Press. All rights reserved. In this paper, we introduce a novel linear discriminate analysis (LDA) ensemble classifier utilizing the Mindo as a brain-computer interface (BCI) device to deal with the problem of motor imagery classification. With regard to the composition of the proposed system, we combine filter bank, sub-band common spatial pattern (SBCSP), LDA together for extracting features of EEG data and classifying the motor imagery with left or right states. In addition, we also employ a gradient descent (GD) algorithm to find the best weight associated with probability fusion function. This novel architecture not only boosts the accuracy of classification but maintains the computational efficiency of the system. Therefore, the proposed LDA-ensemble framework is able to be satisfied with each subject as demonstrated in Section III.
Chomsiri, T, He, X, Nanda, P, Tan, Z & IEEE 1970, 'A Stateful Mechanism for the Tree-Rule Firewall', 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE Computer Society, Beijing, pp. 122-129.
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© 2014 IEEE. In this paper, we propose a novel connection tracking mechanism for Tree-rule firewall which essentially organizes firewall rules in a designated Tree structure. A new firewall model based on the proposed connection tracking mechanism is then developed and extended from the basic model of Net filter's Conn Track module, which has been used by many early generation commercial and open source firewalls including IPTABLES, the most popular firewall. To reduce the consumption of memory space and processing time, our proposed model uses one node per connection instead of using two nodes as appeared in Net filter model. This can reduce memory space and processing time. In addition, we introduce an extended hash table with more hashing bits in our firewall model in order to accommodate more concurrent connections. Moreover, our model also applies sophisticated techniques (such as using static information nodes, and avoiding timer objects and memory management tasks) to improve its processing speed. Finally, we implement this model on Linux Cent OS 6.3 and evaluate its speed. The experimental results show that our model performs more efficiently in comparison with the Net filter/IPTABLES.
Chotipant, S, Hussain, FK, Dong, H & Hussain, OK 1970, 'A Fuzzy VSM-Based Approach for Semantic Service Retrieval', NEURAL INFORMATION PROCESSING, ICONIP 2014, PT III, International Conference on Neural Information Processing, Springer Verlag, Kuching, Malaysia, pp. 682-689.
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© Springer International Publishing Switzerland 2014. A vast number of business services have been published on the Web in an attempt to achieve cost reductions and satisfy user demand. Service retrieval consequently plays an important role, but unfortunately existing research focuses on crisp service retrieval techniques which are unsuitable for vague real world information. In this paper, we propose a new fuzzy service retrieval approach which consists of two modules: service annotation and service retrieval. Related service concepts for a given query are semantically retrieved, following which services that are annotated to those concepts are retrieved. The degree of retrieval of the retrieval module and the similarity between a service, a concept, and a query are fuzzy. Our experiment shows that the proposed approach performs better than a non-fuzzy approach on Recall measure.
Chou, KP, Prasad, M, Lin, YY, Joshi, S, Lin, CT & Chang, JY 1970, 'Takagi-Sugeno-Kang type collaborative fuzzy rule based system', 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), IEEE, USA, pp. 315-320.
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© 2014 IEEE. In this paper, a Takagi-Sugeno-Kang (TSK) type collaborative fuzzy rule based system is proposed with the help of knowledge learning ability of collaborative fuzzy clustering (CFC). The proposed method split a huge dataset into several small datasets and applying collaborative mechanism to interact each other and this process could be helpful to solve the big data issue. The proposed method applies the collective knowledge of CFC as input variables and the consequent part is a linear combination of the input variables. Through the intensive experimental tests on prediction problem, the performance of the proposed method is as higher as other methods. The proposed method only uses one half information of given dataset for training process and provide an accurate modeling platform while other methods use whole information of given dataset for training.
Chye, YH, Dutkiewicz, E, Vesilo, R & Liu, RP 1970, 'Adaptive spectrum sensing for cognitive radio systems in a fading environment', 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), IEEE, Sydney, NSW, Australia, pp. 451-456.
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© 2014 National Institute of Information and Communicatio. Cognitive radio (CR) has been emerging as a new technology enabling unlicensed secondary users (SUs) to dynamically access licensed spectrum bands underutilized by primary users (PUs). Spectrum sensing plays an important role in CR systems to detect PU inactivity and the resulting spectrum holes that allow dynamic spectrum access by SUs. In most existing spectrum sensing schemes, dynamics of the channel in a fading environment have not been fully addressed, thus leading to inefficient spectrum utilization. This paper proposes a dynamic sensing scheme that can adaptively schedule sensing duration according to channel dynamics in a fading environment while mitigating the effect of sensing errors (i.e., false alarm and miss-detection). We introduce a sensing duration bound to facilitate the optimization of spectrum utilization. Both simulation and analytical results verify the improvement on spectrum utilization offered by the proposed scheme while achieving target sensing requirements, as compared to the existing sensing schemes.
Clear, A & Lister, R 1970, 'Preface to the working group reports of the 2014 innovation & technology in computer science education conference', ITiCSE-WGR 2014 - Working Group Reports of the 2014 Innovation and Technology in Computer Science Education Conference, p. iii.
Clear, A & Lister, R 1970, 'Preface to the working group reports of the 2014 innovation & technology in computer science education conference', ITiCSE-WGR 2014 - Working Group Reports of the 2014 Innovation and Technology in Computer Science Education Conference, p. iii.
Cong, NN, Thi, HN, Chen, S-S, Chan, W-H, Ngo, HH & Guo, W 1970, 'Step forward to the improvement of osmosis membrane bioreactor for sustainable water', ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 248th National Meeting of the American-Chemical-Society (ACS), AMER CHEMICAL SOC, San Francisco, CA.
Cooper, CS, Mukunthan, A, Ros, M, Franklin, DR & Abolhasan, M 1970, 'Dynamie environmental fading in urban VANETs.', ICC, IEEE International Conference on Communications, IEEE, Sydney, NSW, Australia, pp. 5641-5646.
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A method of approximating the Rician K-Factor with considerations of the local human-built environment is proposed for urban VANETs. The model is validated experimentally on a busy street in Australia, in the presence and absence of other vehicles. The model is found to accurately predict actual channel measurements in close-range communications scenarios.
Cooper, CS, Ros, M, Safaei, F, Franklin, DR & Abolhasan, M 1970, 'Simulation of Contrasting Clustering Paradigms under an Experimentally-Derived Channel Model.', VTC Fall, IEEE Vehicular Technology Conference, IEEE, Vancouver, BC, pp. 1-6.
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This is a simulation study of weight-based and precedence-based clustering paradigms in VANETs under an experimentally-derived channel model. The study reveals that CH election schemes accounting for driver intention form more stable and long-lived clusters. The results also show that ignoring elements of the VANET channel (such as vehicular shadowing) results in an unreliable comparative analysis of protocol performance.
Corney, M, Fitzgerald, S, Hanks, B, Lister, R, McCauley, R & Murphy, L 1970, ''explain in plain english' questions revisited', Proceedings of the 45th ACM technical symposium on Computer science education, SIGCSE '14: The 45th ACM Technical Symposium on Computer Science Education, ACM, Atlanta, Georgia, USA, pp. 591-596.
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Abstract: Recent studies have linked the ability of novice (CS1) programmers to read and explain code with their ability to write code. This study extends earlier work by asking CS2 students to explain object-oriented data structures problems that involve recursion. Results show a strong correlation between ability to explain code at an abstract level and performance on code writing and code reading test problems for these object-oriented data structures problems. The authors postulate that there is a common set of skills concerned with reasoning about programs that explains the correlation between writing code and explaining code. The authors suggest that an overly exclusive emphasis on code writing may be detrimental to learning to program. Non-code writing learning activities (e.g., reading and explaining code) are likely to improve student ability to reason about code and, by extension, improve student ability to write code. A judicious mix of code-writing and code-reading activities is recommended.
Corsetti, S, Miles, REH, Reid, JP, Kiefer, J & McGloin, D 1970, 'Studying biofuel aerosol evaporation rates with single particle manipulation', SPIE Proceedings, SPIE NanoScience + Engineering, SPIE, San Diego, CA.
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Cui, H, Wang, X, Zhou, J, Fulham, M, Eberl, S & Feng, D 1970, 'Topology constraint graph-based model for non-small-cell lung tumor segmentation from PET volumes', 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014), IEEE, Beijing, PEOPLES R CHINA, pp. 1243-1246.
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Cuzzocrea, A & Xu, G 1970, 'A novel heuristic scheme for modeling and managing time bound constraints in data-intensive grid and cloud infrastructures', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), On the Move to Meaningful Internet Systems, Springer Berlin Heidelberg, Amantea, Italy, pp. 172-191.
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© Springer-Verlag Berlin Heidelberg 2014. Inspired by the emerging Cloud Computing challenge, in this paper we provide a comprehensive framework for modeling and managing time bound constraints in data-intensive Grid and Cloud infrastructures, along with its experimental assessment and analysis. We provide both conceptual and theoretical contributions of the proposed framework, along with a heuristic scheme, called RGDTExec, that solves all possible instances of the problem underlying the proposed framework by exploiting a suitable greedy algorithm, called RGDTExecRun. As we demonstrate throughout the paper, the framework keeps several aspects of research innovations that are beneficial in a wide range of application scenarios.
Cuzzocrea, A & Xu, G 1970, 'Towards a framework for supporting web search of complex objects via multidimensional paradigms', Proceedings - 14th International Conference on Computational Science and Its Applications, ICCSA 2014, 2014 14th International Conference on Computational Science and Its Applications (ICCSA), IEEE, Portugal, pp. 217-220.
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© 2014 IEEE. In this paper we present WebClustCube, an innovative framework for supporting Web search of complex objects via multidimensional paradigms. WebClustCube focuses on the issue of empowering traditional Web search methodologies by means of novel paradigms. In particular, WebClustCube supports the building and the interactive manipulation of OLAP-enabled Web views over complex objects extracted from distributed databases. The data management, OLAP-like support of WebClustCube is provided by ClustCube, a state-of-the-art framework for coupling OLAP methodologies and clustering algorithms with the goal of analyzing and mining of complex database objects. We complement of analytical contribution by means of a case study that clearly shows the potentialities of WebClustCube in the context of next-generation Web search environments.
Dackermann, U, Smith, WA, Li, J & Randall, RB 1970, 'On the use of the cepstrum and artificial neural networks to identify structural mass changes from response-only measurements', PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2014) AND INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2014), International Conference on Noise and Vibration Engineering, KU Leuven - Departement Werktuigkunde, Leuven, Belgium, pp. 3739-3750.
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This paper presents a damage identification technique based on response-only data utilising cepstrum analysis and artificial neural networks (ANNs) for the identification of added mass in a two-storey framed structure. The proposed technique applies cepstrum-based operational modal analysis (OMA) for the regeneration of frequency response functions (FRFs), and added mass is detected through the combined use of principal component analysis (PCA) for data compression and ANNs for feature extraction and pattern recognition. In particular, different treatments of the zeros in the curve-fitting of the transfer function cepstrum are investigated to improve the automation potential of the method for application in continuous online structural health monitoring (SHM). The proposed technique is validated on a laboratory structure tested on a large-scale shake table with ambient base loading. The results of the investigation show that the method is effective in identifying added mass based on response-only measurements.
Dadras, M, Shafri, HZM, Ahmad, N, Pradhan, B & Safarpour, S 1970, 'Six decades of urban growth using remote sensing and GIS in the city of Bandar Abbas, Iran', IOP Conference Series: Earth and Environmental Science, IOP Publishing, pp. 012007-012007.
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Dah-Chuan Lu, D, Soon, JL & Verstraete, D 1970, 'Two-transistor step-down DC/DC converters with fault-tolerant capability', 2014 Australasian Universities Power Engineering Conference (AUPEC), 2014 Australasian Universities Power Engineering Conference (AUPEC), IEEE, Perth, WA, Australia.
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© 2014 ACPE. This paper presents a family of two-transistor step-down dc/dc converters with fault-tolerant capability which is derived through graph theoretic approach. The fault-tolerant property deals with open-circuit fault of one of the power transistors in a two-transistor dc/dc converter structure. Under normal operation, either one of the two transistors can be used to control the power flow and the other transistor is idle. When the fault occurs, the other transistor will be activated to provide an alternate current path to continue converter operation and maintain output regulation. Derivation procedure and some experimental results are reported.
Daniel, S & Mazzolini, A 1970, 'The messy transition from wrong to right: improvements but persistent inconsistencies on conceptually-equivalent questions after Interactive Lecture Demonstrations', International Conference for Physics Education.
Dantanarayana, L, Ranasinghe, R, Tran, A, Liu, D & Dissanayake, G 1970, 'A Novel Collaboratively Designed Robot to Assist Carers', SOCIAL ROBOTICS, International Conference on Social Robotics (ICSR), SPRINGER-VERLAG BERLIN, Sydney, Australia, pp. 105-114.
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© Springer International Publishing Switzerland 2014. This paper presents a co-design process and an assisted navigation strategy that enables a novel assistive robot, Smart Hoist, to aid carers transferring non-ambulatory residents. Smart Hoist was codesigned with residents and carers at IRT Woonona residential care facility to ensure that the device can coexist in the facility, while providing assistance to carers with the primary aim of reducing lower back injuries, and improving the safety of carers and patients during transfers.The Smart Hoist is equipped with simple interfaces to capture user intention in order to provide assisted manoeuvring. Using the RGB-D sensor attached to the device, we propose a method of generating a repulsive force that can be combined with the motion controller’s output to allow for intuitive manoeuvring of the Smart Hoist, while negotiating with the environment.Extensive user trials were conducted on the premises of IRTWoonona residential care facility and feedback from end users confirm its intended purpose of intuitive behaviour, improved performance and ease of use.
Das, A, Pal, U, Ferrer Ballester, MA & Blumenstein, M 1970, 'A new efficient and adaptive sclera recognition system', 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM), 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM), IEEE, Orlando, USA, pp. 1-8.
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© 2014 IEEE. In this paper an efficient and adaptive biometric sclera recognition and verification system is proposed. Sclera segmentation was performed by Fuzzy C-means clustering. Since the sclera vessels are not prominent, in order to make them clearly visible image enhancement was required. Adaptive histogram equalization, followed by a bank of Discrete Meyer Wavelet was used to enhance the sclera vessel patterns. Feature extraction was performed by, Dense Local Directional Pattern (D-LDP). D-LDP patch descriptors of each training image are used to form a bag of features; further Spatial Pyramid Matching was used to produce the final training model. Support Vector Machines (SVMs) are used for classification. The UBIRIS version 1 dataset was used here for experimentation of the proposed system. To investigate regarding sclera patterns adaptively with respect to change in environmental condition, population, data accruing technique and time span two different session of the mention dataset are utilized. The images in two sessions are different in acquiring technique, representation, number of individual and they were captured in a gap of two weeks. An encouraging Equal Error Rate (EER) of 3.95% was achieved in the above mention investigation.
Das, A, Pal, U, Ferrer Ballester, MA & Blumenstein, M 1970, 'A new wrist vein biometric system', 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM), 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM), IEEE, Orlando, USA, pp. 68-75.
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© 2014 IEEE. In this piece of work a wrist vein pattern recognition and verification system is proposed. Here the wrist vein images from the PUT database were used, which were acquired in visible spectrum. The vein image only highlights the vein pattern area so, segmentation was not required. Since the wrist's veins are not prominent, image enhancement was performed. An Adaptive Histogram Equalization and Discrete Meyer Wavelet were used to enhance the vessel patterns. For feature extraction, the vein pattern is characterized with Dense Local Binary Pattern (D-LBP). D-LBP patch descriptors of each training image are used to form a bag of features, which was used to produce the training model. Support Vector Machines (SVMs) were used for classification. An encouraging Equal Error Rate (EER) of 0.79% was achieved in our experiments.
Das, A, Pal, U, Ferrer Ballester, MA & Blumenstein, M 1970, 'Fuzzy logic based selera recognition', 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, China, pp. 561-568.
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© 2014 IEEE. In this paper a selera recognition and validation system is proposed. Here selera segmentation was performed by Fuzzy logic-based clustering. Since the selera vessels are not prominent, image enhancement was required. A Fuzzy logic-based Brightness Preserving Dynamic Fuzzy Histogram Equalization and discrete Meyer wavelet was used to enhance the vessel patterns. For feature extraction, the Dense Local Binary Pattern (D-LBP) was used. D-LBP patch descriptors of each training image are used to form a bag of features, which is used to produce the training model. Support Vector Machines (SVMs) are used for classification. The UBIRIS version 1 dataset is used here for experimentation. An encouraging Equal Error Rate (EER) of 4.31% was achieved in our experiments.
Das, A, Pal, U, Ferrer Ballester, MA & Blumenstein, M 1970, 'Multi-angle based lively sclera biometrics at a distance', 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM), 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM), IEEE, USA, pp. 22-29.
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© 2014 IEEE. This piece of work proposes a liveliness based sclera eye biometric, validation and recognition technique at a distance. The images in this work are acquired by a digital camera in the visible spectrum at varying distance of about 1 meter from the individual. Each individual during registration as well as validation is asked to look straight and move their eye ball up, left and right keeping their face straight to incorporate liveliness of the data. At first the image is divided vertically into two halves and the eyes are detected in each half of the face image that is captured, by locating the eye ball by a Circular Hough Transform. Then the eye image is cropped out automatically using the radius of the iris. Next a C-means-based segmentation is used for sclera segmentation followed by vessel enhancement by the adaptive histogram equalization and Haar filtering. The feature extraction was performed by patch-based Dense-LDP (Linear Directive Pattern). Furthermore each training image is used to form a bag of features, which is used to produce the training model. Each of the images of the different poses is combined at the feature level and the image level to obtain higher accuracy and to incorporate liveliness. The fusion that produces the best result is considered. Support Vector Machines (SVMs) are used for classification. Here images from 82 individuals (both left and right eye i.e. 164 different eyes) are used and an appreciable Equal Error Rate of 0.52% is achieved in this work.
Decker, T, Ivanyos, G, Kulkarni, R, Qiao, Y & Santha, M 1970, 'An Efficient Quantum Algorithm for Finding Hidden Parabolic Subgroups in the General Linear Group', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Symposium on Mathematical Foundations of Computer Science, Springer Berlin Heidelberg, Budapest, Hungary, pp. 226-238.
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In the theory of algebraic groups, parabolic subgroups form a crucial building block in the structural studies. In the case of general linear groups over a finite field, given a sequence of positive integers n 1 , ⋯, n k , where n=n 1 +⋯+n k , a parabolic subgroup of parameter (n 1 , ⋯, n k ) in GL is a conjugate of the subgroup consisting of block lower triangular matrices where the ith block is of size n i . Our main result is a quantum algorithm of time polynomial in logq and n for solving the hidden subgroup problem in GL, when the hidden subgroup is promised to be a parabolic subgroup. Our algorithm works with no prior knowledge of the parameter of the hidden parabolic subgroup. Prior to this work, such an efficient quantum algorithm was only known for minimal parabolic subgroups (Borel subgroups), for the case when q is not much smaller than n (G. Ivanyos: Quantum Inf. Comput., Vol. 12, pp. 661-669). © 2014 Springer-Verlag Berlin Heidelberg.
Deng, Z, Jiang, Y, Cao, L & Wang, S 1970, 'Knowledge-leverage based TSK fuzzy system with improved knowledge transfer', 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Beijing, China, pp. 178-185.
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© 2014 IEEE. In this study, the improved knowledge-leverage based TSK fuzzy system modeling method is proposed in order to overcome the weaknesses of the knowledge-leverage based TSK fuzzy system (TSK-FS) modeling method. In particular, two improved knowledge-leverage strategies have been introduced for the parameter learning of the antecedents and consequents of the TSK-FS constructed in the current scene by transfer learning from the reference scene, respectively. With the improved knowledge-leverage learning abilities, the proposed method has shown the more adaptive modeling effect compared with traditional TSK fuzzy modeling methods and some related methods on the synthetic and real world datasets.
Deuse, J, Roßmann, J, Kuhlenkötter, B, Hengstebeck, A, Stern, O & Klöckner, M 1970, 'A Methodology for the Planning and Implementation of Service Robotics in Industrial Work Processes', Procedia CIRP, Elsevier BV, pp. 41-46.
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© 2014 Published by Elsevier B.V. The gap between capability and practical application of service robotics increases constantly, especially regarding to SMEs. In order to overcome the affiliated obstacles, easily applicable methods supporting users in the planning and implementation of robot solutions need to be developed. Therefore, the proposed methodology determines a useful degree of automation for manual work processes by the help of four main components. A potential customer will be able to join an internet portal. Via this portal, the customer may add data on specific manual work processes, adjacent influencing parameters and additional framework conditions. This data is then forwarded to an associated planning kernel which derives information on different service robot components from a data base. By comparing the requirements regarding the specific manual work process with the different robot characteristics, the planning kernel produces results in two categories. First, the system recommends robot components that can be applied for the specific work process and second, motion plans for the selected service robot system. In order to enhance practical usability and transparency for the customer, the planning kernel is connected to a simulation. Regarding this simulation, the robot components and motions will be automatically visualized to the customer. Consequently, the customer will be able to easily decide on a potential robot implementation in order to support employees and improve the work processes. In practical application, this solution can especially improve the competitiveness of SMEs.
Devitt, SJ 1970, 'Classical Control of Large-Scale Quantum Computers', RC2014, Springer Lecture Notes on Computer Science (LNCS) 8507, pp. 26-39. Springer International Publishing, Switzerland (2014), Y. Shigeru and M.Shin-ichi (Eds.), 6th International Conference on Reversible Computation (RC), SPRINGER INTERNATIONAL PUBLISHING AG, Kyoto, JAPAN, pp. 26-39.
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The accelerated development of quantum technology has reached a pivotalpoint. Early in 2014, several results were published demonstrating that severalexperimental technologies are now accurate enough to satisfy the requirementsof fault-tolerant, error corrected quantum computation. While there are manytechnological and experimental issues that still need to be solved, the abilityof experimental systems to now have error rates low enough to satisfy thefault-tolerant threshold for several error correction models is a tremendousmilestone. Consequently, it is now a good time for the computer science andclassical engineering community to examine the {\em classical} problemsassociated with compiling quantum algorithms and implementing them on futurequantum hardware. In this paper, we will review the basic operational rules ofa topological quantum computing architecture and outline one of the mostimportant classical problems that need to be solved; the decoding of errorcorrection data for a large-scale quantum computer. We will endeavour topresent these problems independently from the underlying physics as much ofthis work can be effectively solved by non-experts in quantum information orquantum mechanics.
Devitt, SJ 1970, 'The quantum memory stick', Conference on Lasers and Electro-Optics Europe - Technical Digest.
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We introduce a design a design for a quantum memory stick that uses active quantum error correction to coherently store a qubit of encoded information for months or years. This device is based on the model of topological error correction and can increase the storage time of a qubit of information by 10-11 orders of magnitude with a physical qubit overhead of several hundreds.
Devitt, SJ 1970, 'The Quantum Memory Stick', Optics InfoBase Conference Papers.
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We introduce a design a design for a quantum memory stick that uses active quantum error correction to coherently store a qubit of encoded information for months or years. This device is based on the model of topological error correction and can increase the storage time of a qubit of information by 10-11 orders of magnitude with a physical qubit overhead of several hundreds. © 2014 OSA.
Ding, C, Guo, YJ, Qin, P-Y, Ji, L, Yang, Y & IEEE 1970, 'A Compact Phase Shift Unit for Analogue Beamforming', 2014 INTERNATIONAL WORKSHOP ON ANTENNA TECHNOLOGY: 'SMALL ANTENNAS, NOVEL EM STRUCTURES AND MATERIALS, AND APPLICATIONS' (IWAT), International Workshop on Antenna Technology, IEEE, Sydney, NSW, Australia, pp. 93-95.
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© 2014 IEEE. A novel phase shift unit for analogue beamforming is proposed. It is based on a defected microstrip structure (DMS). The DMS unit has a phase shift of 15° with insertion losses below 0.5 dB at 5.2 GHz. It is etched on a 50 Ohm conventional microstrip line and the length of which is only 0.07 wavelengths long. Due to the low insertion loss and compact size, the DMS units can be easily cascaded to realize a higher phase shift. As an example, a 1-bit phase shifter made by cascading 3 DMS units is designed. It has a phase shift of 45°±1.8° with the insertion losses still below 0.5 dB across the 5.2 GHz band (5.15 GHz to 5.35 GHz). The phase shifter design based on DMS is compact, low cost, and easy to be fabricated and integrated in microstrip systems. Therefore, it provides a low cost solution for analogue beamforming which usually employs a large number of phase shifters.
Ding, C, Guo, YJ, Qin, P-Y, Yang, Y & IEEE 1970, 'A Compact Phase-Shifting Unit for Phased Array Antennas', 2014 11TH EUROPEAN RADAR CONFERENCE (EURAD), European Microwave Conference, IEEE, Rome, Italy, pp. 443-446.
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© 2014 European Microwave Association. A compact reconfigurable defected microstrip structure (RDMS) unit is proposed for phase shifters used in phased array antennas. The RDMS unit can introduce a phase shift when working in two different states. The performance of the RDMS unit, including the phase shift and insertion loss, is found to have closely correlations with some key dimensions, which is elucidated using equations and simulations. A RDMS unit with optimized dimensions is fabricated as an example, and measured to have a phase shift of 20° at 5.2 GHz. Then, two of such RDMS units are cascaded, resulting in a 1-bit phase shifter which has a doubled phase shift but smaller insertion loss. The proposed phase shifter is compact, low cost, and easy to be fabricated and integrated in microstrip systems. Therefore, it offers a low-cost and low-profile solution to phase shifts in phased array antennas.
Ding, C, Guo, YJ, Qin, P-Y, Yang, Y & IEEE 1970, 'A Reconfigurable Defected Microstrip Structure for Applications in Phase Shifter', 2014 8TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), European Conference on Antennas and Propagation, IEEE, IEEE, pp. 2342-2346.
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© 2014 European Association on Antennas and Propagation. A reconfigurable defected microstrip structure (RDMS) is proposed for phase shift applications. The RDMS unit is made by etching a rectangle slot in a segment of microstrip line and then loading the slot with PIN diodes and capacitors. A phase shift is achieved by switching the diodes between the 'on' and 'off' states. By cascading such RDMS units, a stepwise phase shifter is realized. The measured results show that the phase shifter is able to achieve phase shifts of 0°, 44°, 95°, and 143° with a maximum insertion loss of 2.3 dB at 5.2 GHz. The RDMS based phase shifter has a simple fabrication process and is easy to be integrated in microstrip systems, and thus provides a low cost solution to phase control in microstrip antenna arrays.
Ding, J, Dutkiewicz, E & Huang, X 1970, 'Optimal spectral efficiency for cooperative UWB based on-body area networks', 2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, New Orleans, LA, USA, pp. 1224-1229.
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© 2014 IEEE. In this paper, spectral efficiency (SE) is investigated for cooperative ultra-wideband (UWB) based on-body area networks (OBANs). To optimize SE for single-relay cooperation, an equivalent generic cooperative model in UWB based OBANs is established first. With the proposed model, joint optimal relay location and power allocation for cooperation is then derived to solve the SE maximization problem. Simulation results show that direct transmission is preferable for UWB based OBANs when the transmitter and receiver are located on the same side of the human body. However, the joint optimal cooperative transmission scheme can achieve a significant improvement on SE compared with direct transmission when the transmitter and receiver are located on the different sides of the human body, which indicates that cooperation is more feasible to be applied in this case due to its robustness to the significant path loss.
ding, J, Dutkiewicz, E, Huang, X & Fang, G 1970, 'Spectral Efficiency Optimization with Distributed Beamforming in UWB Based Implant Body Area Networks', Proceedings of the 9th International Conference on Body Area Networks, 9th International Conference on Body Area Networks, ICST, pp. 32-38.
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Copyright © 2014 ICST. In this paper, a distributed beamforming problem is investigated based on spectral efficiency (SE) optimization for ultra-wideband (UWB) based implant body area networks (IBANs). We consider a relay network consisting of one implant source, several wearable relays, and one body network coordinator under the assumption that the individual relay power is constrained due to the Federal Communications Commission (FCC) regulations for UWB signals. Taking into account realistic wireless channels and relay locations, the SE optimization problem is mathematically formulated and solved by using convex optimization. Simulation results show that the proposed beamforming scheme is superior to other transmission schemes. Moreover, our numerical examples reveal that the relay location has a significant impact on the beamforming performance and the proposed beamforming scheme provides an efficient way to prolong the lifetime of the implant node.
Dinh, TH, Pham, MT, Phung, MD, Nguyen, DM, Hoang, VM & Tran, QV 1970, 'Image segmentation based on histogram of depth and an application in driver distraction detection', 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on Control, Automation, Robotics & Vision (ICARCV), IEEE, Singapore, SINGAPORE, pp. 969-974.
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DONG, FAN, LU, JIE, ZHANG, G & LI, KAN 1970, 'A MODIFIED LEARN++.NSE ALGORITHM FOR DEALING WITH CONCEPT DRIFT', Decision Making and Soft Computing, The 11th International FLINS Conference (FLINS 2014), WORLD SCIENTIFIC, Brazil, pp. 556-561.
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Concept drift is a very pervasive phenomenon in real world applications. By virtue of variety change types of concept drift, it makes more difficult for learning algorithm to track the concept drift very closely. Learn++.NSE is an incremental ensemble learner without any assumption on change type of concept drift. Even though it has good performance on handling concept drift, but it costs high computation and needs more time to recover from accuracy drop. This paper proposed a modified Learn++.NSE algorithm. During learning instances in data stream, our algorithm first identifies where and when drift happened, then uses instances accumulated by drift detection method to create a new base classifier, and finally organized all existing classifiers based on Learn++.NSE weighting mechanism to update ensemble learner. This modified algorithm can reduce high computation cost without any performance drop and improve the accuracy recover speed when drift happened.
Read More: http://www.worldscientific.com/doi/abs/10.1142/9789814619998_0092
Dong, H, Hussain, FK & Bouguettaya, A 1970, 'Discovering Plain-Text-Described Services Based on Ontology Learning', NEURAL INFORMATION PROCESSING, ICONIP 2014, PT III, International Conference on Neural Information Processing, ICONIP, Kuching, Malaysia, pp. 673-681.
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Donovan, A, Alem, L, Huang, W, Liu, R & Hedley, M 1970, 'Understanding How Network Performance Affects User Experience of Remote Guidance', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), CYTED-RITOS International Workshop on Groupware, Springer International Publishing, pp. 1-12.
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Much research has been done to support remote collaboration on physical tasks. However, the focus of the research has been mainly on system and interface design and their impact on collaboration. Relatively less attention has been paid to investigating how network performance can affect user experience and task performance. In this paper, we present a preliminary user study on this issue in which participants were asked to work collaboratively in pair using a remote mobile tele-assistance system we developed. In this study, five network scenarios were examined and network performance (QoS) was measured using four metrics including delay, jitter, bandwidth and packet loss. User experience (QoE) was measured using both objective and subjective metrics. The formal included time taken and number of instructions repeated for task performance while the latter included user ratings of quality of audio experience, quality of video experience and overall quality of experience. The results indicated that the packet loss rate in QoS is the biggest contributor to loss in QoE. We also discuss implications of the study and possible directions of future work. © 2014 Springer International Publishing.
Du, J, Jiang, C, Wang, J, Yu, S & Ren, Y 1970, 'Stability Analysis and Resource Allocation for Space-Based Multi-Access Systems', 2015 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2015 - 2015 IEEE Global Communications Conference, IEEE.
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© 2015 IEEE. In space-based networks, the data relay satellites can assist low-earth-orbit satellites in relaying data to other satellites or the ground station and improve the real time system throughput. To take full advantage of transmission resource of the cooperative relays, this paper proposes a multiple access and resource allocation strategy, in which relays can receive and transmit simultaneously according to channel characteristics of space-based systems. Based on the queueing theoretic formulation, the stability of the proposed protocol is analyzed and the maximum stable throughput region is derived, which would provide the appropriate guidance for the design of the system optimal control. Simulation results exhibit multiple factors that affect the stable throughput and verify the theoretical analysis.
Du, Y, Xiao, W, Hu, Y & Lu, DD-C 1970, 'Control approach to achieve burst mode operation with DC-link voltage protection in single-phase two-stage PV inverters', 2014 IEEE Energy Conversion Congress and Exposition (ECCE), 2014 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE, Pittsburgh, PA, USA, pp. 47-52.
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© 2014 IEEE. In grid-tied photovoltaic (PV) power systems, the significant power variation that is caused by solar irradiation intermittency is one challenge for consistent efficiency and power quality. In particular, the system suffers from low system efficiency and poor power quality under low solar irradiation condition. Burst mode operation is a possible solution to the above issues and helps maintain a quality injection of PV energy. However, over/under voltage fault may happen by adopting the conventional burst mode operation. In this paper, a comprehensive control strategy is proposed to achieve high performance of the burst mode operation and prevent the violation of DC-link voltage limits. Simulation and experimental results are presented to support the recommended operations.
Duan, N, Xu, W, Wang, S, Guo, Y, Zhu, J & Lin, Z 1970, 'Eddy Current Field Analysis of HTS Tapes Considering Hysteresis Characteristics by Using Improved XFEM', Proceedings of The 16th Biennial IEEE Conference on Electromagnetic Field Computation, Editorial Board of The 16th Biennial IEEE Conference on Electromagnetic Field Computation, Annecy, France.
Dyson, LE 1970, 'A Vodcast Project in the Workplace Understanding Students' Learning Processes Outside the Classroom', MOBILE AS MAINSTREAM-TOWARDS FUTURE CHALLENGES IN MOBILE LEARNING, MLEARN 2014, World Conference on Mobile and Contextual Learning (mLearn), Springer, Instanbul, pp. 258-271.
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A student-generated multimedia project was introduced into a firstyear
subject for undergraduate information technology students. Teams of students
interviewed an IT professional in the workplace and video-recorded the
interview. A survey of students showed statistically significant increases in students’
self-reported knowledge and skills for key learning objectives. A subsequent
qualitative analysis of student diaries and reflections discovered several
contributing factors: the iterative nature of the activities that students undertook
in order to complete the project; the multiple and evolving representations of
their knowledge as they proceeded through the project; the importance of the
workplace context in enhancing learning; and the affordance of the mobile devices
used by the students for capturing this context on video and allowing it to
be shared with other students. The research findings contribute to our understanding
of how complex mobile learning projects in context-rich environments
can contribute to deep learning.
Eklund, JM & McGregor, C 1970, 'Real-time online health analytics for interplanetary space missions', 2014 IEEE Aerospace Conference, 2014 IEEE Aerospace Conference, IEEE, Big Sky, MT.
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Eklund, JM, Fontana, N, Pugh, E, McGregor, C, Yielder, P, James, A, Keyzers, M, Hahn, C & McNamara, P 1970, 'Automated Sleep-Wake Detection in Neonates from Cerebral Function Monitor Signals', 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS), IEEE, Icahn Sch Med, New York, NY, pp. 22-27.
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Elliott, J, Lees, T, Nassif, N & Lal, S 1970, 'Cardiovascular measures and sleep health associations with shift work in police officers: A physiological assessment', 31st Combined Health Science Conference; New Horizons, Sydney, Australia.
Erkmen, RE, Bradford, MA & Crews, K 1970, 'Treatment of locking behaviour for displacement-based finite element analysis of composite beams', STRUCTURAL ENGINEERING AND MECHANICS, Advances in Structural Engineering and Mechanics, Technopress, Soul, Korea, pp. 163-180.
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Falque, R, Vidal-Calleja, T, Miro, JV, Lingnau, DC & Russell, DE 1970, 'Background segmentation to enhance remote field eddy current signals', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, ARAA, Melbourne University.
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Pipe condition assessment is critical to avoid breakages. Remote Field Eddy Current (RFEC) is a commonly used technology to assess the condition of pipes. The nature of this technology induces some particular noise into its measurements. In this paper, we develop a 3D simulation based on the Finite Element Analysis to study the properties of this noise. Moreover, we propose a filtering process based on a modified version of graph-cuts segmentation method to remove the influence of this noise. Simulated data together with an experimental data-set obtained from a real RFEC inspection show the validity of the proposed approach.
Fang, J, Xu, F, Sun, G, Li, G, Gao, Y & Li, Q 1970, 'Crashworthiness investigation for functionally graded thickness (FGT) circular column', 8th Australasian Congress on Applied Mechanics, ACAM 2014, as Part of Engineers Australia Convention 2014, Australasian Congress on Applied Mechanics, Informit, Melbourne, Australia, pp. 191-197.
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There has been continuous pursuit of new thin-walled structures in transportation and defense industries recently for more efficient usage of materials in order to achieve light weight and high energy absorption. In this paper, a functionally graded thickness (FGT) tube with a varying wall thickness along axial direction is introduced. The established finite element model of FGT circular tube is validated by performed physical experiments. Numerical analysis demonstrates that gradient exponent controlling the variation of thickness distributions and the thickness interval have significant effect on governing the percentage increase in absorbed-energy. Furthermore, the FGT circular column is found superior to the uniform thickness column in crashworthiness.
Farzan, P, Izadi, M, Gomes, C, Kadir, MZAA, Hesamian, MH & Radzi, M 1970, 'Short Circuit Power based fault location algorithm in distribution networks', 2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO2014), 2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO), IEEE, pp. 105-109.
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This paper presents a novel accurate fault location technique for the radial unbalanced distribution systems, based on measurement of the Short Circuit Power (S/C.P) peak values at the substation. To evaluate the gathered dataset, a Multi-Layer Feed Forward Neural Network (ML-FFNN) with the tuned parameters is designed and the locations of faults are estimated in low, medium and far distances from the source. The estimated distances are compared with the real fault locations to show the accuracy of estimations. The proposed method can work with the small scale datasets and it is capable of being implemented in distribution systems with several laterals. © 2014 IEEE.
Farzan, P, Izadi, M, Gomes, C, Kadir, MZAA, Hesamian, MH & Radzi, MAM 1970, 'On the fault location algorithm for distribution networks in presence of DG', 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA), 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA), IEEE, pp. 652-656.
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Connecting distributed generation (DG) units to the distribute networks impose several impacts on it which have not been considered in conventional fault location algorithms. This paper presents an accurate fault location technique for unbalanced radial distribution networks based on evaluating measured values of short Circuit Current (S/C.C) at the source bus with a designed Multi-Layer Feed Forwarded Neural Network (ML-FFNN). The estimated locations of different fault types are compared with the actual distances and Average Difference Percentage (ADP) is calculated for each fault type. The designed neural network is able to work with small scale datasets. Hence the proposed method can be implemented in the real distribution networks. © 2014 IEEE.
Fatahi, B, Hokmabadi, AS & Samali, B 1970, 'Seismic Performance-Based Design for Tall Buildings Considering Soil-Pile-Structure Interaction', Advances in Soil Dynamics and Foundation Engineering, Geo-Shanghai 2014, American Society of Civil Engineers, Shanghai, pp. 333-342.
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Soil-Structure Interaction (SSI) plays a significant role in seismic response of the structures by altering the dynamic properties of the system and increasing the lateral deflection which in turn could change the performance level of structures. In this study, in order to experimentally investigate the influence of different types of foundations on SSI phenomena, a series of shaking table tests has been conducted considering four different cases, namely: (i) fixed-base structure representing the situation excluding the soil-structure interaction; (ii) structure supported by shallow foundation on soft soil; and (iii) structure supported by floating pile foundation in soft soil, and (iv) structure supported by end-bearing pile foundation in soft soil. Benchmark earthquakes including the 1995 Kobe, the 1994 Northridge, the 1968 Hachinohe, and the 1940 El Centro earthquakes are adopted. Results indicate that presence and type of pile foundations change the dynamic characteristics and behaviour of the superstructure which should be considered in predicting the damage level of structural and non-structural elements.
Fauzi, H, Metselaar, HSC, Mahlia, TMI & Silakhori, M 1970, 'Thermal Reliability of Myristic Acid/Palmitic Acid/Sodium Laurate Eutectic Mixture: A Feasibility Study of Accelerated Aging for Thermal Energy Storage Application', Energy Procedia, 6th International Conference on Applied Energy (ICAE), Elsevier BV, Taipei, TAIWAN, pp. 49-54.
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Fazel, SAA, Blumenstein, M, Mirfenderesk, H & Tomlinson, R 1970, 'Estuarine flood modelling using artificial neural networks', 2014 International Joint Conference on Neural Networks (IJCNN), 2014 International Joint Conference on Neural Networks (IJCNN), IEEE, Beijing, China, pp. 631-637.
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Prediction of water levels at estuaries poses a significant challenge for modelling of floods due to the influence of tidal effects. In this study, a two-stage forecasting system is proposed. In the first stage, the tidal portion of the available records is used to develop a tidal prediction system. The predictions of the first stage are used for flood modelling in the second. Experimental results suggest that the proposed flood modelling approach is advantageous for forecasting flood levels with more than 1 hour lead times.
Feltham, F, Loke, L, van den Hoven, E, Hannam, J & Bongers, B 1970, 'The slow floor', Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction, TEI'14: Eighth International Conference on Tangible, Embedded, and Embodied Interaction, ACM.
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Feng, P, Wu, F, Liu, B & Dong, C 1970, 'DSMA: Optimal multirate anypath routing in wireless networks with directional antennas', 2014 International Wireless Communications and Mobile Computing Conference (IWCMC), 2014 International Wireless Communications and Mobile Computing Conference (IWCMC), IEEE, Nicosia, CYPRUS, pp. 381-386.
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Frawley, JK & Dyson, LE 1970, 'Animal personas', Proceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures: the Future of Design, OzCHI '14: the Future of Design, ACM, Sydney, Australia, pp. 21-30.
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This paper describes the development and application of a non-human animal persona in designing to support co-operative and free-range animal agriculture. This work is grounded in case study research of a small free-range egg farm, through which field and interview work were undertaken. We demonstrate how existing user-centred design tools, such as the persona, can be used to better reflect co-operative farming philosophies and more meaningfully represent both farmer and animal stakeholders within the design process. This approach is theoretically orientated within sustainable HCI and Animal Computer Interaction (ACI), which is itself an extension of HCI. The species-specific persona of a chicken allows representation and ensures that the animal, which is made deliberately invisible within factory and intensive farming, is made visible through and within the design of an online system. By making explicit the implicit assumptions we hold about an animal, such personas provide a tool for thinking, design, and further discussion.
Frawley, JK & Dyson, LE 1970, 'Mobile Literacies Navigating Multimodality, Informal Learning Contexts and Personal ICT Ecologies', MOBILE AS MAINSTREAM-TOWARDS FUTURE CHALLENGES IN MOBILE LEARNING, MLEARN 2014, World Conference on Mobile and Contextual Learning, Springer International Publishing, Istanbul, Turkey, pp. 377-390.
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© Springer International Publishing Switzerland 2014. The affordances and ubiquitous uptake of technically convergent devices has led to widespread change in communicative practice. Mobile devices and their wider ICT ecology have afforded people with the means through which to consume and produce multimedia content. In such an environment, literacy can no longer be limited to the reading and writing of word and character-based texts. The emergent field of New Literacies research has contributed early understandings of these new practices. This paper contributes to understanding how these new literacies occur within a mobile and informal learning space. This study details mStories a creative, participatory, digital mobile storytelling project comprised of nine adult participants who created “stories” with their mobile phone device. These stories were shared on the mStories project website, which became a repository for: fiction, non-fiction, poetry and diary-style content. Stories used a range of written text, visual images, sound, music and video. Using content analysis, interview and survey methods this paper describes mobile literacy as characteristically situated and experiential in nature. The mobile device was catalytic to furthering digital writing on other devices within the individual’s wider ICT ecology. This research contributes understandings of multimodal mobile literacies as part of a foundation for framing and understanding mobile learning in informal settings.
Frawley, JK, Dyson, LE & Underwood, J 1970, 'Rewriting, redesigning and reimagining the recipe for more sustainable food systems', Proceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures: the Future of Design, OzCHI '14: the Future of Design, ACM, Sydney, Australia, pp. 366-369.
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Copyright 2014 ACM. This paper describes Red Hen Recipes, a user generated recipe site that seeks to connect buying, cooking and eating practices with the modes of food production through the redesign of the recipe format. User research found recipes to be a reflective and creative space for imagining 'what we should eat'. Through simple website technologies we redesign the recipe to afford users the opportunity of exploring 'what we should eat' within the context of the wider agro-food system. The site provides a digital space for dialogic interactions between farmers, backyard growers, shoppers and foragers to 'rewrite' the recipe to include information about the origins of a single ingredient. In connecting the labour of the field with the labour of the home and kitchen, this tool deliberately breaks down the false dichotomy of producer and consumer, and identifies all users as active producers within the food system, albeit within different contexts.
Furqan, F & Hoang, DB 1970, 'LTE_FICC: A New Mechanism for Provision of QoS and Congestion Control in LTE/LTE-Advanced Networks', Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, International Conference on Mobile and Ubiquitous Systems: Networks and Services, Springer International Publishing, Tokyo, Japan, pp. 768-781.
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© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2014. In Long Term Evolution (LTE)/LTE-Advanced architecture, the basic schedulers allocate resources without taking congestion at the Evolved NodeB (eNodeB’s) output buffer into account. This leads to buffer overflows and deterioration in overall Quality of Service (QoS). Congestion avoidance and fair bandwidth allocation is hardly considered in existing research for the LTE/ LTE-Advanced uplink connections. This paper introduces a mechanism for LTE and LTE-Advanced, LTE Fair Intelligent Congestion Control (LTE_FICC), to control congestion at an eNodeB. LTE_FICC jointly exists with the scheduler at the eNodeB to guarantee efficient traffic scheduling, in order to make the output buffer operate around a target operating point. LTE_FICC also overcomes the problem of unfair bandwidth allocation among the flows that share the same eNodeB interface. LTE_FICC is simple, robust and scalable, as it uses per queue rather than per flow accounting. To evaluate the effectiveness of the proposed algorithm, simulations were performed in Opnet using LTE module. The results demonstrated that LTE_FICC controls the eNodeB buffer effectively; prevents overflows; and ensures the QoS of flows in terms of fair bandwidth allocation, improved throughput and reduced queuing delay.
Furqan, F, Hoang, DB & Collings, IB 1970, 'Effects of quality of service schemes on the capacity and dimensioning of LTE networks', 2014 IEEE 33rd International Performance Computing and Communications Conference (IPCCC), 2014 IEEE International Performance Computing and Communications Conference (IPCCC), IEEE, Austin, USA, pp. 1-8.
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With high data rate and mobility support wireless networks are becoming an integral part of the ubiquitous broadband access. Appropriate dimensioning of the wireless access networks is essential to satisfy users' Quality of Service (QoS) requirements. Once the network is dimensioned, dynamic variations in traffic or population distribution can affect the capability of the network to deliver the agreed QoS of connections. Consequently, re-dimension the network may be necessary. Current researches do not discuss the effects of QoS schemes on the capacity of the network. In this paper, we investigate the impact of QoS schemes on the capacity of the network. The objective is to determine the capability of the network to deal with the variations in the demography of the covered area and the user's traffic profile with the proposed QoS schemes including Congestion Control (CC) and Radio Admission Control (RAC). Different scenarios are presented to evaluate the effects of QoS schemes on the capacity of the network. This investigation will assist network operators to determine the point after which the network needs to be re-dimensioned.
Furqan, F, Hoang, DB & Collings, IB 1970, 'LTE-Advanced fair intelligent admission control LTE-FIAC', Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014, 2014 IEEE 15th International Symposium on 'A World of Wireless, Mobile and Multimedia Networks' (WoWMoM), IEEE, Sydney, NSW.
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Radio Admission Control (RAC) is a key function of the Radio Resource Management (RRM) at layer 3 of an eNodeB; however, the 3GPP standard does not specify the RAC and is left as an eNodeB vendor specific. Most admission control schemes proposed to date do not ensure differentiation among the users at different priority levels. Also, they do not provide fairness among the users with the same priority. This paper proposes a novel RAC scheme for Long Term Evolution (LTE-Advanced) networks based on the combined idea of complete sharing and virtual partitioning. It introduces a step wise degradation scheme, to prioritize the high priority traffic in state of resource limitations. A detailed and comprehensive simulation is performed in Opnet to show the efficiency of the proposed RAC scheme. The simulation results demonstrate that the proposed RAC scheme minimizes the call blocking probability and adheres extremely well to the bandwidth constraints of different traffic types.
Gabrys, B 1970, 'Robust Adaptive Predictive Modeling and Data Deluge (Extended Abstract)', MAN-MACHINE INTERACTIONS 3, 3rd International Conference on Man-Machine Interactions (ICMMI), Springer International Publishing, Brenna, POLAND, pp. 39-41.
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Gallage, HNP, Saha, SC & Gu, YT 1970, 'Deformation of a three-dimensional red blood cell in a stenosed micro-capillary', 8th Australasian Congress on Applied Mechanics, ACAM 2014, as Part of Engineers Australia Convention 2014, pp. 273-279.
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Red blood cells (RBCs) exhibit different types of motions and deformations when the blood flows through capillaries. Interestingly, due to the complex three-dimensional structure of the RBC membrane, RBCs show three-dimensional motions and deformations in the blood flow. These motions and deformations of the RBCs highly depend on the stiffness of the RBC membrane and on the geometrical parameters of the capillary through which blood flows. However, capillaries always do not have uniform cross sections and some capillaries have stenosed segments, where cross sectional area suddenly reduces. Further, some diseases can alter the stiffness of the RBC membrane drastically. In this study, the deformation behaviour of a single three-dimensional RBC is examined, when it moves through a stenosed capillary. A three-dimensional spring network is used to model the RBC membrane. The RBC's inside and outside fluids are discretized into a finite number of mass points and treated by smoothed particle hydrodynamics (SPH) method. The capillary is considered as a rigid tube with a stenosed section. The deformation index, mean velocity and total energy of the RBC are analysed when it flows through the stenosed capillary. Further, motion and deformation of the RBCs with different membrane stiffness (KB) are compared when they flow through the stenosed segment of the capillary. The simulation results demonstrate the RBCs are subjected to a larger deformation when they move through the stenosed part of the capillary and the RBCs with lower KB values easily pass through the stenosed segment of the capillary. Further, RBCs having higher KB values have a lower mean velocity and it leads to slow down the overall blood flow rate.
Gandhi, S, Sankaran, S, Er, M, Orr, K & Khabbaz, H 1970, 'Developing Technology-Assisted Multi-Disciplinary Learning Strategies', Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), 31st International Symposium on Automation and Robotics in Construction, International Association for Automation and Robotics in Construction (IAARC), Sydney, pp. 346-353.
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The construction industry is multi-disciplinary and collaborative in nature. Project managers are expected to understand the relations, roles and responsibilities in this collaborative working environment. Construction project managers need to be equipped with skills to process and understand the principles of interdisciplinary working. In order to keep pace with industry requirements, it is necessary for universities to teach subjects in tertiary education courses that educate and motivate construction students towards interdisciplinary working. This paper is based on a research project aimed at understanding opportunities and challenges for introducing subjects that require students from different disciplines to work together on an integrated project. In order to teach interdisciplinary working principles to project management students, a new post-graduate subject, Integrated Project Delivery, was introduced in the Master of Project Management at the University of Technology Sydney (UTS) as part of a construction sub-major. The subject was designed and teaching materials prepared based on inputs from architecture, engineering and construction management academics. In the teaching of the subject, interdisciplinary student teams were formed based on educational background and professional experience. An (pedagogical) action research approach was adopted to study the challenges and benefits of new ways of learning in line with the UTS learning strategies being adopted by academics. The main finding of this research concluded that project-based learning is very valuable to both students and industry alike as it promotes working on a live project enthusiastically and gaining industry experience in new ways of working adopted by industry. Working in multi-disciplinary teams requires students to respect the other team participants from different backgrounds, inculcating values of team spirit and discouraging adversarial behaviours. Furthermore this research ...
Gandomi, AH & Roke, DA 1970, 'Engineering optimization using interior search algorithm', 2014 IEEE Symposium on Swarm Intelligence, 2014 IEEE Symposium On Swarm Intelligence (SIS), IEEE, Orlando, FL, pp. 20-26.
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Gandomi, AH & Roke, DA 1970, 'Seismic Response Prediction of Self-Centering, Concentrically-Braced Frames Using Genetic Programming', Structures Congress 2014, Structures Congress 2014, American Society of Civil Engineers, pp. 1221-1232.
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© 2014 American Society of Civil Engineers. Conventional concentrically braced frame (CBF) systems are commonly used in earthquake-resistant structural systems. However, they have limited drift capacity before brace buckling occurs. Self-centering, concentrically-braced frame (SC-CBF) systems have recently been developed to increase drift capacity prior to initiation of damage and to minimize residual drift. SC-CBFs have more complex behavior than conventional CBFs. The seismic response of SC-CBFs depends on many new parameters such as rocking behavior, post-tensioning bars, and energy dissipation elements. Additionally, uncertainty of mechanical properties (e.g., coefficient of friction in the friction-bearings) can affect the system response. To design SC-CBF systems, an accurate prediction of the statistical parameters of roof drift demand is essential. In this study, genetic programming is used to predict the mean and standard deviation of SC-CBF peak roof drift response under the design basis earthquake using the most effective mechanical and geometric parameters. The results of this study can then be used in the future to design more efficient SC-CBF systems with a more accurate roof drift prediction.
Gao, C, Meng, D, Tong, W, Yang, Y, Cai, Y, Shen, H, Liu, G, Xu, S & Hauptmann, AG 1970, 'Interactive Surveillance Event Detection through Mid-level Discriminative Representation', Proceedings of International Conference on Multimedia Retrieval, ICMR '14: International Conference on Multimedia Retrieval, ACM, Scotland, pp. 305-312.
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Event detection from real surveillance videos with complicated background environment is always a very hard task. Different from the traditional retrospective and interactive systems designed on this task, which are mainly executed on video fragments located within the event-occurrence time, in this paper we propose a new interactive system constructed on the mid-level discriminative representations (patches/ shots) which are closely related to the event (might occur beyond the event-occurrence period) and are easier to be detected than video fragments. By virtue of such easilydistinguished mid-level patterns, our framework realizes an effective labor division between computers and human participants. The task of computers is to train classifiers on a bunch of mid-level discriminative representations, and to sort all the possible mid-level representations in the evaluation sets based on the classifier scores. The task of human participants is then to readily search the events based on the clues offered by these sorted mid-level representations. For computers, such mid-level representations, with more concise and consistent patterns, can be more accurately detected than video fragments utilized in the conventional framework, and on the other hand, a human participant can always much more easily search the events of interest implicated by these location-anchored mid-level representations than conventional video fragments containing entire scenes. Both of these two properties facilitate the availability of our framework in real surveillance event detection applications. Copyright is held by the owner/author(s).
Gao, Y, Qiu, N, Fang, J & Wang, S 1970, 'A Test Method and Simulation Study of PMMA Glazing on Motion Deviation', SAE Technical Paper Series, SAE 2014 World Congress & Exhibition, SAE International.
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For achieving vehicle light weighting, the motion deviation is calculated for substitution of PMMA glazing for inorganic glass. In this paper, a test method is proposed to measure and calculate the motion deviation of the dual-curvature glass. To simulate the dual-curvature glass, the torus surface is fitted with least square method according to the window frame data, which are measured by Coordinate Measuring Machine. By using this method, the motion deviation of PMMA glazing and inorganic glass can be calculated, which can not only validate the effectiveness of motion simulation, but also compare the performances. The results demonstrate that the performance of PMMA glazing is better than that of inorganic glass and the simulation results is validated. Copyright © 2014 SAE International.
Garcia, JA & Navarro, KF 1970, 'The Mobile RehApp™: an AR-based mobile game for ankle sprain rehabilitation.', SeGAH, IEEE International Conference on Serious Games and Applications for Health (SeGAH), IEEE Computer Society, Rio de Janeiro, pp. 1-6.
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People struggle to recover from injuries due to the lack of commitment to their rehabilitation exercises as they are often boring. Recent approaches that involve the use of interactive video games have shown positive results in exercising as users engage in physical activity while playing a game. For example Nintendo Wii and Microsoft Kinect based games have shown to be effective in the treatment of post stroke patients. Yet, there are not tools in the market that offer portable rehabilitation exercises in the form of interactive games. The work presented in this paper focuses on the development of the Mobile RehApp™, an augmented reality based application for mobile devices designed for therapeutic support that aims to assist physiotherapists and patients on ankle sprain rehabilitation.
Garcia, JA, Pisan, Y, Tan, CT & Navarro, KF 1970, 'Assessing the Kinect's Capabilities to Perform a Time-Based Clinical Test for Fall Risk Assessment in Older People', ENTERTAINMENT COMPUTING - ICEC 2014, Springer, pp. 100-107.
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© 2014 IFIP International Federation for Information Processing. The Choice Stepping Reaction Time (CSRT) task is time-based clinical test that has shown to reliably predict falls in older adults. Its current mode of delivery involves the use of a custom-made dance mat device. This mat is a measurement tool that can reliably obtain step data to discriminate between fallers and non-fallers. One of the pitfalls of this test is that the technology in use still imposes an obstacle on the degree of freedom to be able to perform adaptive exercises suitable for the elderly. In this paper, we describe a Kinect-based system that measures stepping performance through the use of a hybrid version of the CSRT task. This study focuses on assessing this system’s capabilities to reliably measure a time-based clinical test of fall risk. Results showed a favorable correspondence and agreement between the two systems, suggesting that this platform could be potentially useful in the clinical practice.
Garcia, JA, Pisan, Y, Tan, CT & Navarro, KF 1970, 'Step kinnection: a hybrid clinical test for fall risk assessment in older adults.', CHI Extended Abstracts, International Conference on Human Factors in Computing Systems, ACM, Toronto, Canada, pp. 471-474.
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In this paper, we describe Step Kinnection, an interactive step training system for the elderly that incorporates mechanisms to simultaneously perform a hybrid clinical test for fall risk assessment. The interactivity demonstration includes a simple stepping task along with three voice-enabled cognitive activities allowing for the assessment of stepping performance under the dual-task paradigm. CHI attendees can try out both scenarios to physically experience the interference caused by a higher cognitive load while stepping.
Gardner, A & Willey, K 1970, 'Authors' perceptions of peer review of conference papers and how they characterise a 'good' one', SEFI Annual Conference 2014, SEFI - Annual Conference of European Society for Engineering Education, SEFI, Birmingham, UK.
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This paper examines the individual's experience of the peer review process to explore implications for the wider engineering education research community. A thematic analysis of interview transcripts showed that providing feedback to authors in reviews was mentioned equally as frequently as the role of quality assurance of the conference papers. We used responses from participants from various levels of expertise and types of universities to identify what were for them the elements of a quality conference paper and a quality review. For a conference paper these included that it should be relevant, situate itself relative to existing literature, state the purpose of the research, describe sound methodology used with a logically developed argument, have conclusions supported by evidence and use language of a professional standard. A quality review should start on a positive note, suggest additional literature, critique the methodology and written expression and unambiguously explain what the reviewer means. The lists of characteristics of a good paper and a good review share elements such as attention to relevant literature and methodology. There is also substantial overlap between how our participants characterise quality papers and reviews and the review criteria used for the AAEE conference, and for such publication outlets as the European Journal for Engineering Education (EJEE) and the Journal of Engineering Education (JEE). This suggests some level of agreement in the community about the elements that indicate quality. However, we need to continue discussions about what we mean by 'sound' methodology and 'good' evidence as well as establishing some shared language and understanding of the standards required in regard to the review criteria. The results of this study represent the first steps in improving our shared understandings of what constitutes quality research in engineering education for our community, and how we might better convey that in o...
Gardner, A & Willey, K 1970, 'Mapping the landscape of engineering education research: An Australian perspective', SEFI Annual Conference 2014, SEFI - Annual Conference of European Society for Engineering Education, SEFI, Birmingham, UK.
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The landscape model presented in this paper stimulated dialogue around the nature of topics and research in our community and allowed participants to find a place to belong. We argue that such a dialogue will help us identify, develop and grow our research domain and support those seeking to participate in or move within it. We propose a developmental model that combines the landscape with active pursuit of the characteristics exhibited in quality research. We found that one indication of progress of an emerging researcher on their developmental journey is their use of multiple perspectives, interpretations and dimensions in their research. We suggest that such a model would encourage improvements in quality of the studies in all areas of the landscape, rather than the perception that improvement can be achieved by adopting a specific approach or type of research. A practice versus research dichotomy is ultimately divisive and does little to assist researchers develop their expertise. We believe national conferences should provide a forum for all authors in an environment aimed at improving the quality of research, publications and the development of academics wherever they are on the landscape.
Gardner, AP, Willey, K, Vessalas, K & Li, J 1970, 'Experiences with flipped learning in subjects in consecutive stages of aCivil Engineering programme', Proceedings of the 25th Annual Conference of the Australasian Association for Engineering Education, AAEE - Annual Conference of Australasian Association for Engineering Education, School of Engineering & Advanced Technology, Massey University, Wellington, NZ.
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CONTEXT Flipped learning is an instructional approach which allows instructors the opportunity to use a blending of online and face to face learning activities. The main affordance of flipped learning is the opportunity to free up class time to allow students and instructors to engage in collaborative learning activities designed to consolidate and deepen conceptual understanding of the subject material. Research has shown that participating in flipped instruction can change the way students approach their studies and improve motivation.PURPOSE OR GOALWe are interested in students’ experience of the flipped environment, particularly their expectations of a learning environment, and the level of responsibility they take for their own learning. The purpose of this analysis is to create a baseline against which future instances of flipped learning can be compared.APPROACH Student perceptions of flipped instruction were investigated through survey responses and observations of students in a first year subject (Engineering Mechanics) a second year subject (Engineering Computations) and a third year subject (Construction Materials) in a Civil Engineering degree programme. In particular, students were asked to explain the impact of the flipped activities on their learning experience including any changes in how they approach their studies or managed their time.OUTCOMES Most students in each of the three subjects agreed that they ‘liked’ flipped instruction compared to the traditional lecture format. The majority of students in each subject also agreed that it is reasonable to expect students to prepare before attending a face to face session. However, some students made strong negative comments demonstrating how the flipped environment did not meet their expectations of how learning should be organised. This study suggests that students in the second and third year subjects were not necessarily showing signs of better self-regulation and time man...
Gentile, C, Kuehn, B, Davies, MJ & dos Remedios, CG 1970, 'A Novel Method for Isolating and Culturing Human Cardiomyocytes from Cryopreserved Tissues', Biophysical Journal, 58th Annual Meeting of the Biophysical-Society, Elsevier BV, San Francisco, CA, pp. 564a-564a.
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George, L, Lehmann, T & Hamilton, TJ 1970, 'A reconfigurable buck-boost switched capacitor converter architecture for multiple, distributed on-chip load applications', 2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS), 2014 IEEE 12th International New Circuits and Systems Conference (NEWCAS), IEEE, pp. 464-467.
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© 2014 IEEE. This paper presents the design of a dual-output reconfigurable buck-boost switched capacitor converter architecture that can be adapted for applications requiring multiple, distributed on-chip loads. This system uses adaptive gain control and discrete frequency scaling to regulate power delivered. Core-interleaving and an enhanced load regulation scheme have also been adopted to improve performance. The converter provides a fully-integrated, low-area and fully digital solution. Design and implementation using a standard bulk CMOS 0.18μm process provide simulation results showing that the converter has an output voltage range of 1.0-2.2V, can deliver up to 5mA in load current and is up to 67% efficient.
Gerardo-Castro, MP, Peynot, T, Ramos, F, Fitch, R & IEEE 1970, 'Robust Multiple-Sensing-Modality Data Fusion using Gaussian Process Implicit Surfaces', 2014 17TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), International Conference on Information Fusion, IEEE, Salamanca, Spain.
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© 2014 International Society of Information Fusion. The ability to build high-fidelity 3D representations of the environment from sensor data is critical for autonomous robots. Multi-sensor data fusion allows for more complete and accurate representations. Furthermore, using distinct sensing modalities (i.e. sensors using a different physical process and/or operating at different electromagnetic frequencies) usually leads to more reliable perception, especially in challenging environments, as modalities may complement each other. However, they may react differently to certain materials or environmental conditions, leading to catastrophic fusion. In this paper, we propose a new method to reliably fuse data from multiple sensing modalities, including in situations where they detect different targets. We first compute distinct continuous surface representations for each sensing modality, with uncertainty, using Gaussian Process Implicit Surfaces (GPIS). Second, we perform a local consistency test between these representations, to separate consistent data (i.e. data corresponding to the detection of the same target by the sensors) from inconsistent data. The consistent data can then be fused together, using another GPIS process, and the rest of the data can be combined as appropriate. The approach is first validated using synthetic data. We then demonstrate its benefit using a mobile robot, equipped with a laser scanner and a radar, which operates in an outdoor environment in the presence of large clouds of airborne dust and smoke.
Gervasi, V, Zowghi, D & IEEE 1970, 'Supporting Traceability through Affinity Mining', 2014 IEEE 22ND INTERNATIONAL REQUIREMENTS ENGINEERING CONFERENCE (RE), IEEE International Requirements Engineering Conference, IEEE, Blekinge Inst Technol, Karlskrona, SWEDEN, pp. 143-152.
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© 2014 IEEE. Traceability among requirements artifacts (and beyond, in certain cases all the way to actual implementation) has long been identified as a critical challenge in industrial practice. Manually establishing and maintaining such traces is a highskill, labour-intensive job. It is often the case that the ideal person for the job also has other, highly critical tasks to take care of, so offering semi-automated support for the management of traces is an effective way of improving the efficiency of the whole development process. In this paper, we present a technique to exploit the information contained in previously defined traces, in order to facilitate the creation and ongoing maintenance of traces, as the requirements evolve. A case study on a reference dataset is employed to measure the effectiveness of the technique, compared to other proposals from the literature.
Ghanavati, M, Wong, RK, Chen, F, Wang, Y & Perng, C-S 1970, 'An Effective Integrated Method for Learning Big Imbalanced Data', 2014 IEEE International Congress on Big Data, 2014 IEEE International Congress on Big Data (BigData Congress), IEEE, Anchorage, AK, pp. 691-698.
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Ghiasi, G, Yang, Y, Ramanan, D & Fowlkes, CC 1970, 'Parsing Occluded People', 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE.
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Ghosh, S, Feng, M, Nguyen, H & Li, J 1970, 'Risk prediction for acute hypotensive patients by using gap constrained sequential contrast patterns.', AMIA Annu Symp Proc, AMIA Annual Symposium, AMIA, United States, pp. 1748-1757.
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The development of acute hypotension in a critical care patient causes decreased tissue perfusion, which can lead to multiple organ failures. Existing systems that employ population level prognostic scores to stratify the risks of critical care patients based on hypotensive episodes are suboptimal in predicting impending critical conditions, or in directing an effective goal-oriented therapy. In this work, we propose a sequential pattern mining approach which target novel and informative sequential contrast patterns for the detection of hypotension episodes. Our results demonstrate the competitiveness of the approach, in terms of both prediction performance as well as knowledge interpretability. Hence, sequential patterns-based computational biomarkers can help comprehend unusual episodes in critical care patients ahead of time for early warning systems. Sequential patterns can thus aid in the development of a powerful critical care knowledge discovery framework for facilitating novel patient treatment plans.
Gill, AQ, Alam, SL & Eustace, J 1970, 'Using social architecture to analyzing online social network use in emergency management', 20th Americas Conference on Information Systems, AMCIS 2014, Americas Conference on Information Systems, AIS, Savannah, Georgia, USA, pp. 1-12.
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Emergency Management Agencies (EMA) are increasingly adopting online social network (OSN) such as Twitter and Facebook for interacting with partner institutions and citizens for sourcing and distributing of vital crisis information. However, EMA need to study and analyze how well they are using and, how they should be using the OSN. This paper adopts a holistic social architecture driven approach and demonstrates how to systematically study and analyze OSN adoption in the Australian EMA case study. The results of this study indicate that OSNs do not replace traditional systems and should be considered a part of the whole crisis information management environment. Further, it indicates that a holistic social architecture driven approach seems useful for studying and analyzing the OSN-enabled EMA crisis information management environment, which is critical for the identification of opportunities for improvement.
Gill, AQ, Smith, S, Beydoun, G & Sugumaran, V 1970, 'Agile enterprise architecture: A case of a cloud technology-enabled government enterprise transformation', Proceedings - Pacific Asia Conference on Information Systems, PACIS 2014, Pacific Asia Conference on Information Systems, AIS, Chengdu, China, pp. 1-11.
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Australian government enterprises have shown a significant interest in the cloud technology-enabled enterprise transformation. Australian government suggests the whole-of-a-government strategy to cloud adoption. The challenge is how best to realise this cloud adoption strategy for the cloud technologyenabled enterprise transformation? The cloud adoption strategy realisation requires concrete guidelines and a comprehensive practical framework. This paper proposes the use of an agile enterprise architecture framework to developing and implementing the adaptive cloud technology-enabled enterprise architecture in the Australian government context. The results of this paper indicate that a holistic strategic agile enterprise architecture approach seems appropriate to support the strategic whole-of-a-government approach to cloud technology-enabled government enterprise transformation.
Gmel, GE, Parker, JL & Hamilton, TJ 1970, 'A new biomarker for closed-loop deep brain stimulation in the subthalamic nucleus for patients with Parkinson's disease', 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings, 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS), IEEE, pp. 500-503.
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© 2014 IEEE. Deep brain stimulation (DBS) has become the standard treatment for advanced stages of Parkinson's disease and other motor disorders. Although the surgical procedure has gained in accuracy over the years thanks to imaging and microelectrode recordings, the underlying principles of DBS are still debated today. The lack of a clear measurable biomarker for the efficacy of the therapy has rendered efforts to design feedback-enabled stimulators difficult. Our most recent intra-operative recordings have unveiled a new biomarker based on stimulation induced evoked responses that could lead to a new approach to closing the loop and designing an adaptive deep brain stimulator.
Goldsmith, RJ & Willey, K 1970, 'Invisible writing practices in the engineering curriculum', Proceedings of the AAEE2014 Conference Wellington, New Zealand, AAEE - Annual Conference of Australasian Association for Engineering Education, Australasian Association for Engineering Education, Wellington, NZ.
Golsorkhi, MS & Lu, DDC 1970, 'A decentralized power flow control method for islanded microgrids using V-I droop', 2014 22nd Iranian Conference on Electrical Engineering (ICEE), 2014 22nd Iranian Conference on Electrical Engineering (ICEE), IEEE, Iran, pp. 604-609.
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© 2015 IEEE. Microgrids performance and stability mostly depend on power flow control strategy. In order to allow for a coordinated control while maintaining a reliable operation, decentralized control methods based on P and Q droop characteristics have been utilized. Originally based on the conventional power systems, the power droop control methods, suffer from inherently slow dynamics. In this paper, a novel control method based on V-I characteristics is introduced to exploit the flexibility and fast dynamics of the inverter based Distributed Energy Resources (DERs). In this method, the direct and quadrature axis voltage components are drooped with the corresponding currents according to a piecewise linear droop function. The proposed method significantly improves the system dynamic response by increasing damping and decreasing time constant. In order to verify the efficacy of the proposed method, simulation results are presented.
Golsteijn, C, Hoven, EVD, Frohlich, D & Sellen, A 1970, 'Reflections on craft research for and through design', Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational, NordiCHI '14: The 8th Nordic Conference on Human-Computer Interaction, ACM, Helsinki, Finland, pp. 421-430.
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As design practice has become more integrated in HCI research, there are on-going discussions around the role of design in research. Design research may take different forms, among which 'Research for Design' and 'Research through Design'. While, by definition, these two differ in their focus and result- The first informs the creation of a design artefact and the second aims for a contribution to knowledge-this paper presents a case study of design research in which Research for and through Design were used iteratively to gain insight into hybrid craft-an integrated physical-digital craft form. Based on our own reflections, this paper discusses what different roles these two strategies may play depending on the research topic under study; the phase in the design process; and the level of abstraction of the research activity and knowledge gained. It thus argues that using Research for and through Design together is a powerful strategy. Copyright is held by the owner/author(s).
Gomez-Tornero, JL, Alvarez-Melcon, A, Mesa, F, Medina, F, Goussetis, G & Guo, YJ 1970, 'Analysis and design of controllable leaky-wave antennas inspired by Prof. Arthur Oliner a tribute to Prof. Oliner', 2014 44th European Microwave Conference, 2014 44th European Microwave Conference (EuMC), IEEE, Rome, ITALY, pp. 440-443.
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In this paper, we make a summary on the different leaky-wave antenna (LWA) technologies developed by Spanish groups in collaboration with UK and Australia, and which have been inspired by seminal works of Prof. Oliner. First, we will describe the LWAs based on asymmetric waveguides proposed by Prof. Oliner and collaborators in the 80s-90s. Also, the labor of Prof. Oliner to reveal the nature of leaky modes in microstrip lines will be reminded. Based on these pioneering works, the contribution of the authors to the analysis and design of LWAs in three distinct technologies will be described. Namely: hybrid waveguide-printed circuit technology, Fabry-Pérot (FP) technology, and Substrate Integrated Waveguide (SIW) technology. The control of the complex leaky-mode wavenumber is necessary for the synthesis of high-gain frequency scanning patterns. This paper gives an overview of the working mechanism and taper principles used for each technology, in a tribute to Prof. Oliner and collaborators who inspired all these ideas.
Greer, R, Olivier, C, Pugh, JE, Eklund, JM & McGregor, C 1970, 'Remote, real-time monitoring and analysis of vital signs of neonatal graduate infants', 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Chicago, IL, pp. 1382-1385.
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Grochow, JA & Qiao, Y 1970, 'Algorithms for Group Isomorphism via Group Extensions and Cohomology', 2014 IEEE 29th Conference on Computational Complexity (CCC), 2014 IEEE Conference on Computational Complexity (CCC), IEEE, Canada, pp. 110-119.
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The isomorphism problem for groups given by their multiplication tables (GPI) has long been known to be solvable in nO(log n) time, but only recently has there been significant progress towards polynomial time. For example, Babai et al. (ICALP 2012) gave a polynomial-time algorithm for groups with no abelian normal subgroups. Thus, at present it is crucial to understand groups with abelian normal subgroups to develop no(log n)-time algorithms. Towards this goal we advocate a strategy via the extension theory of groups, which describes how a normal subgroup N is related to G/N via G. This strategy 'splits' GPI into two sub problems: one regarding group actions on other groups, and one regarding group co homology. The solution of these problems is essentially necessary and sufficient to solve GPI. Most previous works naturally align with this strategy, and it thus helps explain in a unified way the recent polynomial-time algorithms for other group classes. In particular, most prior results in the multiplication table model focus on the group action aspect, despite the general necessity of co homology, for example for p-groups of class 2-believed to be the hardest case of GPI. To make progress on the group co homology aspect of GPI, we consider central-radical groups, proposed in Babai et al. (SODA 2011): the class of groups such that G mod its center has no abelian normal subgroups. Recall that Babai et al. (ICALP 2012) consider the class of groups G such that G itself has no abelian normal subgroups. Following the above strategy, we solve GPI in n O(log log n) time for central-radical groups, and in polynomial time for several prominent subclasses of central-radical groups. We also solve GPI in nO(log log n)-time for groups whose solvable normal subgroups are elementary abelian but not necessarily central. As far as we are aware, this is the first time that a nontrivial algorithm with worst-case guarantees has tackled both aspects of GPI-actions and coho...
Gu, X, Li, J & Li, Y 1970, 'Innovative semi-active storey isolation system utilising novel magnetorheological elastomer base isolators', Proceedings of the 23rd Australasian Conference on the Mechanics of Structures and Materials, Australasian Conference on the Mechanics of Structures and Materials, Southern Cross University, Byron Bay, Australia, pp. 925-930.
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Seismic base isolation has been a widely adopted technique for earthquake protection of civil infrastructures. As the technology matures, new innovative designs of the base isolation systems become increasingly attractive to researchers, especially storey base isolation systems due to its design flexibility and better performance for seismic protection. Moreover, considering the unpredictable and diverse nature of earthquakes, the conventional base isolation systems have reached their limit due to their inherent passive nature which is incapable to adjust their isolation frequencies according to the characteristics of the earthquakes. A recent advance on the development of an adaptive magneto-rheological elastomer (MRE) base isolator provides an opportunity for the research and development on new adaptive base isolation systems. In this paper, an innovative semi-active storey isolation system utilising the novel magneto-rheological elastomer base isolator has been proposed. The proposed isolation system design incorporates adaptive magneto-rheological elastomer isolators under each storey of the structure instead of being only installed beneath of the entire structure. Such innovative system allows high authority semiactive control of storey responses by instantly changing stiffness of the isolator. Extensive simulation has been conducted to investigate such system using 5-storey international benchmark model under four benchmark earthquakes.
Guertler, MR, Elezi, F & Lindemann, U 1970, 'How to assess actors for an Open Innovation-project?', RISK AND CHANGE MANAGEMENT IN COMPLEX SYSTEMS, 16th International Dependency and Structure Modelling Conference (DSM), Carl Hanser Verlag GmbH & Co. KG, Paris, FRANCE, pp. 359-368.
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Guertler, MR, Holle, M & Lindemann, U 1970, 'Open Innovation: Industrial Application and Demands – a Qualitative Study', The R&D Management Conference 2014, Fraunhofer Verlag, Stuttgart, pp. 1024-1030.
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Open Innovation (OI) opens a company’s innovation process to its environment in order to enable a purposeful collaboration. Over the last 10 years OI has become an important part within the innovation management in industry and academia. Therefore, we conducted an explorative interview study in 2012 to analyse how and with which results and success OI is applied in industry. The goal was to evaluate benefits and risks mentioned in literature as well as to analyse the utilization of OI-methods, and to identify (so far) unconsidered challenges and potential solution strategies for barriers against OI. Based on this, industry demands in terms of research gaps were derived. Participants of the study in 2012 were 13 German large-scale enterprises (including one SME) from different branches, and with different product/services portfolios and types of customers. In addition to companies with OI experience, we also interviewed companies without OI experience to allow the identification of possible concerns against OI. Though the overall feedback was positive, also some critical feedback, challenges and needs regarding the application of OI were stated. The results of the study are consistent with previous studies but reveal additional challenges and demands which have not been in the focus so far. To evaluate the pre-published results of the study, we conducted a workshop with eight Bavarian medium-scale enterprises from different industries and with different types of products/services and types of customers. These companies had no or only small experience with OI. The goal of the workshop was to identify expectations towards OI as well as concerns against OI, in order to evaluate the results of the interview study. This paper presents the results of the study and the workshop, and derives research gaps and future demands.
Guertler, MR, Holle, M, Guber, D & Lindemann, U 1970, 'How to determine a company's open innovation situation?', Proceedings of International Design Conference, DESIGN, 13th International Design Conference, DESIGN SOC, Dubrovnik, COLOMBIA, pp. 1541-1550.
Guertler, MR, Lewandowski, P & Lindemann, U 1970, 'Stakeholder-Analysis featuring Open Innovation', XXV ISPIM Conference - Innovation for Sustainable Economy and Society, Dublin, pp. 1-19.
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By opening a company’s innovation process to its environment, Open Innovation (OI) allows advantages such as better market orientation, reduced development risks and the utilization of external expertise. However, so far, the selection of appropriate external and internal OI-project actors is still a challenge for companies; adequate methodological support is limited and existing OI-specific selection processes or processes from other fields bear several deficits. Therefore our goal is the development of an OI-specific integrated selection approach. Based on a systematic comparison of stakeholder- and Lead-User identification processes as well as OI-specific requirement analysis, this work presents a first integrated approach for identifying and selecting OI-actors by combining stakeholder and Lead-User identification. An initial evaluation of the approach in industrial application was successful. Observed benefits and existing points of improvement are discussed.
Guma Biro Turk, K & Pradhan, B 1970, 'Exploitation of GeoEye-1 Data for Land Use/Land Cover Analysis Using Object-Based Image Analysis in the Eastern Nile Basin of Sudan', 40th COSPAR Scientific Assembly.
Guo, D, Zhang, J, Liu, X, Cui, Y & Zhao, C 1970, 'Multiple Kernel Learning Based Multi-view Spectral Clustering', 2014 22nd International Conference on Pattern Recognition, 2014 22nd International Conference on Pattern Recognition (ICPR), IEEE, Stockholm, Sweden, pp. 3774-3779.
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© 2014 IEEE. For a given data set, exploring their multi-view instances under a clustering framework is a practical way to boost the clustering performance. This is because that each view might reflect partial information for the existing data. Furthermore, due to the noise and other impact factors, exploring these instances from different views will enhance the mining of the real structure and feature information within the data set. In this paper, we propose a multiple kernel spectral clustering algorithm through the multi-view instances on the given data set. By combining the kernel matrix learning and the spectral clustering optimization into one process framework, the algorithm can determine the kernel weights and cluster the multi-view data simultaneously. We compare the proposed algorithm with some recent published methods on real-world datasets to show the efficiency of the proposed algorithm.
Guo, D, Zhang, J, Xu, M, He, X, Li, M & Zhao, C 1970, 'A Multiple Features Distance Preserving (MFDP) Model for Saliency Detection', 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, Wollongong.
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© 2014 IEEE. Playing a vital role, saliency has been widely applied for various image analysis tasks, such as content-aware image retargeting, image retrieval and object detection. It is generally accepted that saliency detection can benefit from the integration of multiple visual features. However, most of the existing literatures fuse multiple features at saliency map level without considering cross-feature information, i.e. generate a saliency map based on several maps computed from an individual feature. In this paper, we propose a Multiple Feature Distance Preserving (MFDP) model to seamlessly integrate multiple visual features through an alternative optimization process. Our method outperforms the state-of-the-arts methods on saliency detection. Saliency detected by our method is further cooperated with seam carving algorithm and significantly improves the performance on image retargeting.
Guo, T & Zhu, X 1970, 'Super-Graph Classification', Proceeding of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer International Publishing, Tainan, Taiwan, pp. 323-336.
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Graphs are popularly used to represent objects with dependency structures, yet all existing graph classification algorithms can only handle simple graphs where each node is a single attribute (or a set of independent attributes). In this paper, we formulate a new super-graph classification task where each node of the super-graph may contain a graph (a single-attribute graph), so a super-graph contains a set of inter-connected graphs. To support super-graph classification, we propose a Weighted Random Walk Kernel (WRWK) which generates a product graph between any two super-graphs, and uses the similarity (kernel value) of two single-attribute graph as the node weight. Then we calculate weighted random walks on the product graph to generate kernel value between two super-graphs as their similarity. Our method enjoys sound theoretical properties, including bounded similarity. Experiments confirm that our method significantly outperforms baseline approaches.
Guo, T, Zhu, X, Pei, J & Zhang, C 1970, 'SNOC: Streaming Network Node Classification', 2014 IEEE International Conference on Data Mining, 2014 IEEE International Conference on Data Mining (ICDM), IEEE, Shenzhen, PEOPLES R CHINA, pp. 150-159.
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© 2014 IEEE. Many real-world networks are featured with dynamic changes, such as new nodes and edges, and modification of the node content. Because changes are continuously introduced to the network in a streaming fashion, we refer to such dynamic networks as streaming networks. In this paper, we propose a new classification method for streaming networks, namely streaming network node classification (SNOC). For streaming networks, the essential challenge is to properly capture the dynamic changes of the node content and node interactions to support node classification. While streaming networks are dynamically evolving, for a short temporal period, a subset of salient features are essentially tied to the network content and structures, and therefore can be used to characterize the network for classification. To achieve this goal, we propose to carry out streaming network feature selection (SNF) from the network, and use selected features as gauge to classify unlabeled nodes. A Laplacian based quality criterion is proposed to guide the node classification, where the Laplacian matrix is generated based on node labels and structures. Node classification is achieved by finding the class that results in the minimal gauging value with respect to the selected features. By frequently updating the features selected from the network, node classification can quickly adapt to the changes in the network for maximal performance gain. Experiments demonstrate that SNOC is able to capture changes in network structures and node content, and outperforms baseline approaches with significant performance gain.
Guo, YJ, Qin, P-Y, Ding, C & IEEE 1970, 'Low-Cost Beamforming Employing Reconfigurable Antennas', 2014 INTERNATIONAL WORKSHOP ON ANTENNA TECHNOLOGY: 'SMALL ANTENNAS, NOVEL EM STRUCTURES AND MATERIALS, AND APPLICATIONS' (IWAT), International Workshop on Antenna Technology, IEEE, Sydney, NSW, Australia, pp. 155-158.
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© 2014 IEEE. This paper presents CSIRO's recent research activities and achievements in low-cost beamforming employing reconfigurable antennas. Two novel concepts and configurations, a beam switching quasi-Yagi antenna and a phased array antenna based on a reconfigurable defected microstrip structure for phase shifting, are described. Future research directions are also discussed.
Habibullah, M & Dah-Chuan Lu, D 1970, 'Encoderless FS-PTC for induction motor with extended Kalman filter', 2014 Australasian Universities Power Engineering Conference (AUPEC), 2014 Australasian Universities Power Engineering Conference (AUPEC), IEEE, Perth, WA, Australia.
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© 2014 ACPE. This paper proposes an encoderless finite state predictive torque control (FS-PTC). In FS-PTC, stator flux and torque are predicted using a finite number of inverter switching states to select an optimal voltage vector to be applied to the motor by actuating a predefined cost function. Up to now, extended Kalman filter (EKF), a promising state observer for encoderless control system, has not been used with FS-PTC to estimate motor speed and flux, since it needs more calculation time. However, it can be implemented by sacrificing a small amount of torque and flux ripples. Hence, in this paper, EKF is used to estimate rotor speed and flux. Then, the stator flux is estimated from the estimated rotor flux. Measurement noises in the currents are also filtered out through EKF. Simulation results show that the proposed estimator can estimate the speed accurately, at both speed reversal and load change conditions. The sensitivity of the control scheme is also investigated for the deviations of stator and rotor resistances.
Habibullah, M & Dah-Chuan Lu, D 1970, 'Stator resistance tuning for PTC based induction motor drive at very low speed', 2014 Australasian Universities Power Engineering Conference (AUPEC), 2014 Australasian Universities Power Engineering Conference (AUPEC), IEEE, Perth, WA, Australia.
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© 2014 ACPE. This paper deals with a simple voltage model resistance estimator for predictive torque control (PTC) based induction motor (IM) drive. In PTC, flux and torque are predicted to select an optimal voltage vector to be applied to the motor by actuating a predefined cost function. Conventional PTC based control schemes provide poor performance in the very low operating frequencies when the stator flux is estimated using the voltage model, due to the changes of stator resistance during operation. In order to estimate the stator resistance, stator flux must not depend on the stator resistance. To do so, the predicted flux corresponding to the optimal voltage vector is used to estimate the stator resistance. Simulation results show that the proposed estimator can estimate the resistance accurately at very low speeds with higher loads and achieves improved stator flux estimation.
Habibullah, M, Masjuki, HH, Kalam, MA, Ashraful, AM, Habib, MA & Mobarak, HM 1970, 'Effect of Bio-Lubricant on Tribological Characteristics of Steel', Procedia Engineering, Elsevier BV, pp. 740-745.
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Hailu, M, Shrestha, R & Crews, K 1970, 'Long-term experimental investigation of timber composite beams in cyclic humidity conditions', WCTE 2014 - World Conference on Timber Engineering, Proceedings.
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A long term laboratory investigation on two six-meter-span timber composite beams was started from March 2012 at the University of Technology Sydney. These timber composites were made of laminated veneer lumber (LVL). The web and the flanges of the composite timber section were connected using screw-gluing technique. The specimens have been under sustained loads of (2.1kPa) and the environmental conditions was cyclically alternated between normal and very humid conditions whilst the temperature remained quasi constant (22 °C)-typical cycle duration was six to eight weeks. With regard to EC 5, the environmental conditions can be classified as service class 3 where the relative humidity of the air exceeds 85% and the moisture content of the timber samples reaches 20%. During the test, the mid-span deflection, moisture content of the timber beams and relative humidity of the air were continuously monitored. The paper presents the results and observations of the long-term test to-date and the test is continuing.
Hailu, M, Shrestha, R & Crews, K 1970, 'Long-term experimental investigation of timber composite beams in cyclic humidity conditions', WCTE 2014 - World Conference on Timber Engineering, Proceedings, World Conference on Timber Engineering (WCTE), Quebec City, Canada.
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A long term laboratory investigation on two six-meter-span timber composite beams was started from March 2012 at the University of Technology Sydney. These timber composites were made of laminated veneer lumber (LVL). The web and the flanges of the composite timber section were connected using screw-gluing technique. The specimens have been under sustained loads of (2.1kPa) and the environmental conditions was cyclically alternated between normal and very humid conditions whilst the temperature remained quasi constant (22 °C)-typical cycle duration was six to eight weeks. With regard to EC 5, the environmental conditions can be classified as service class 3 where the relative humidity of the air exceeds 85% and the moisture content of the timber samples reaches 20%. During the test, the mid-span deflection, moisture content of the timber beams and relative humidity of the air were continuously monitored. The paper presents the results and observations of the long-term test to-date and the test is continuing.
Hailu, M, Shrestha, R & Crews, KI 1970, 'Timber composite floor beams under 2 years lon-term load', Proceedings of the 23rd Australasian Conference on the Mechanics of Structures and Materials (ACMSM23), Australasian Conference on the Mechanics of Structures and Materials, Southern Cross University, Byron Bay, Australia, pp. 607-612.
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The long-term behaviour of composite beams is characterised by the response of its component parts (flanges and webs) to load, moisture content, temperature and relative humidity of the environment. This paper reports the results of a two years long-term test on two 6 m span composite floor beams made of laminated veneer lumber (LVL) under service load performed in an indoor, semi-controlled, and unheated environment. The environmental conditions were characterized by artificially induced cyclic air humidity with quasi-constant temperature. These conditions can be characterized as reasonably severe and presumably close to service class 3 according to Eurocode 5. During the test, the mid-span deflection, moisture content and air humidity were monitored. The paper recommends a creep factor for design of timber composite beams in severe environmental conditions.
Halkon, B, Mitchell, S, Payne, T & Carbo, J 1970, 'Biomechanical Measurements of Human Impacts in Basketball', Procedia Engineering, 10th Conference of the International-Sports-Engineering-Association, Elsevier BV, Sheffield Hallam Univ, Sheffield, ENGLAND, pp. 214-219.
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Despite significant advances in materials and manufacturing techniques applied to sports protective equipment in recent years, sports injuries due to impact, contusions in particular, continue to occur. In this paper, a test methodology aimed at collecting data from laboratory-simulated human-on-human impacts in Basketball is presented. The study was executed in three stages with data being collected from: i) human on instrumented bag; ii) impactor on instrumented bag and iii) impactor on instrumented human impacts. In all cases, high-speed video and/or kinematic motion data capture systems were used to obtain parameters such as inbound/outbound velocities, contact durations while resistive ink technology pressure sensing films were used to estimate parameters such as pressure distributions, peak pressures, contact areas, impact forces. Elite-level athletes were used in all human trials to ensure that impact techniques and levels representative of the elite game were obtained and that tolerance to impacts was similarly representative. Two common strikes were simulated: knee on thigh and elbow on rib/torso. Five participants were used to collect the human-on-bag data while 12 participants were used to collect the impactor-on-human data. Between three and five impacts per scenario were performed to enable noise averaging and, importantly, likely injurycausing outlier capture. © 2014 Published by Elsevier Ltd.
Hall, JV, Wyeth, PA & Johnson, D 1970, 'Instructional objectives to core-gameplay', Proceedings of the first ACM SIGCHI annual symposium on Computer-human interaction in play, CHI PLAY '14: The annual symposium on Computer-Human Interaction in Play, ACM.
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HAN, J, LU, JIE, ZHANG, G & MA, S 1970, 'MULTI-FOLLOWER TRI-LEVEL DECISION MAKING WITH UNCOOPERATIVE FOLLOWERS', Decision Making and Soft Computing, The 11th International FLINS Conference (FLINS 2014), WORLD SCIENTIFIC, Joao Pessoa, BRAZIL, pp. 524-529.
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Han, J, Zhang, G, Lu, J, Hu, Y & Ma, S 1970, 'Model and Algorithm for Multi-follower Tri-level Hierarchical Decision-Making', NEURAL INFORMATION PROCESSING, ICONIP 2014, PT III, International Conference on Neural Information Processing, Springer International Publishing, Kuching, MALAYSIA, pp. 398-406.
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Hanawal, MK, Abdel-Rahman, MJ & Krunz, M 1970, 'Game theoretic anti-jamming dynamic frequency hopping and rate adaptation in wireless systems', 2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), IEEE, Hammamet, TUNISIA, pp. 247-254.
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Hanh, LTM, Binh, NT & Tung, KT 1970, 'Applying the meta-heuristic algorithms for mutation-based test data generation for Simulink models', Proceedings of the Fifth Symposium on Information and Communication Technology - SoICT '14, the Fifth Symposium, ACM Press, pp. 102-109.
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Test data generation is one of the most important steps in testing process in order to reveal the faults in software. This activity is time-consuming and labor intensive. With the development of modeling tools such as Simulink, testing is able to early realize at design level. Therefore, it is desirable to seek the effective techniques for automating the testing process for Simulink models in order to make sure that the accurateness of systems which are built from these models. Mutation testing could be used as criterion to generate test data for Simulink models. In this paper, we evaluate the application of different meta-heuristic algorithms, like genetic algorithm, simulated annealing and artificial immune system, to optimize mutation-based test data generation in terms of killing the number of generated mutants for Simulink models. We discuss the effectiveness of these approaches and propose also an improvement of the genetic algorithm. These approaches have been applied to some different case studies and the obtained results are very promising.
HAO, P, ZHANG, G, BEHBOOD, V & ZHENG, Z 1970, 'A FUZZY DOMAIN ADAPTATION METHOD BASED ON SELF-CONSTRUCTING FUZZY NEURAL NETWORK', Decision Making and Soft Computing, The 11th International FLINS Conference (FLINS 2014), WORLD SCIENTIFIC, Brazil, pp. 676-681.
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Domain adaptation addresses the problem of how to utilize a model trained in the source domain to make predictions for target domain when the distribution between two domains differs substantially and labeled data in target domain is costly to collect for retraining. Existed studies are incapable to handle the issue of information granularity, in this paper, we propose a new fuzzy domain adaptation method based on self-constructing fuzzy neural network. This approach models the transferred knowledge supporting the development of the current models granularity in the form of fuzzy sets and adapts the knowledge using fuzzy similarity measure to reduce prediction error in the target domain.
Harfield, P, Halkon, B, Mitchell, S, Phillips, I & May, A 1970, 'A Novel, Real-time Biomechanical Feedback System for Use in Rowing', Procedia Engineering, 10th Conference of the International-Sports-Engineering-Association, Elsevier BV, Sheffield Hallam Univ, Sheffield, ENGLAND, pp. 126-131.
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Biomechanical feedback in water-based rowing is traditionally presented as paper reports or video overlaid with data once a session has been completed. Research into the provision of extrinsic feedback in sport suggests that real-time feedback can lead to skill acquisition and, when appropriately applied, lead to skill retention during competition and therefore a positive performance outcome. This paper presents a novel system architecture that delivers real-time feedback using commercially available off-the-shelf components. The development of a rowing specific system to test a range of feedback strategies is presented, including fading feedback, mixing feedback modalities and varying of the frequency and timing of feedback. MoSync, a cross-platform smartphone development language, was used to write the client application while the server was written as an embedded application in C and Lua that ran on top of the OpenWrt open-source router operating system. Data was transmitted wirelessly across a Wi-Fi network. A human-centred design process was led by a group of highperformance athletes and coaches and the system was shown to deliver data to up to 10 clients simultaneously. Future research will investigate the efficacy of a variety of different feedback strategies to rowers. © 2014 Published by Elsevier Ltd.
Hassan, M, Liu, D, Huang, S & Dissanayake, G 1970, 'Task oriented area partitioning and allocation for optimal operation of multiple industrial robots in unstructured environments', 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), IEEE, Marina Bay Sands, Singapore, pp. 1184-1189.
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© 2014 IEEE. When multiple industrial robots are deployed in field applications such as grit blasting and spray painting of steel bridges, the environments are unstructured for robot operation and the robot positions may not be arranged accurately. Coordination of these multiple robots to maximize productivity through area partitioning and allocation is crucial. This paper presents a novel approach to area partitioning and allocation by utilizing multiobjective optimization and voronoi partitioning. Multiobjective optimization is used to minimize: (1) completion time, (2) proximity of the allocated area to the robot, and (3) the torque experienced by each joint of the robot during task execution. Seed points of the voronoi graph for voronoi partitioning are designed to be the design variables of the multiobjective optimization algorithm. Results of three different simulation scenarios are presented to demonstrate the effectiveness of the proposed approach and the advantage of incorporating robots' torque capacity.
Hassani Esgandani, M, Vessalas, K, Baweja, D & Schmidt, Z 1970, 'Effect Of Chemical Admixtures On Water Penetration Of Concrete', Proceedings of RILEM International workshop on performance-based specification and control of concrete durability, RILEM International workshop on performance-based specification and control of concrete durability, RILEM, Zagreb, Croatia, pp. 209-216.
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Durability of concrete is in part determined by its resistance to the penetration of deleterious substances entering as a liquid or gas that is considered to be a function of its permeation capacity. Permeation capacity is controlled by the connectivity of pores that exist in the cementitious matrix and paste-aggregate boundaries. The presence of chemical admixtures in a mixture can greatly reduce the permeation capacity of hardened concrete by several orders of magnitude. Permeability-reducing admixtures are effective in blocking capillary pores by making them hydrophobic as well as depositing pore-blocking products into the pores.This paper presents an experimental study into the effectiveness of using permeabilityreducing admixtures including hydrophobic pore blockers and crystalline self-sealers. Concretes with increasing w/c ratios of 0.4, 0.5 and 0.6 have been investigated. The effect of admixtures on water penetration has been assessed through monitoring the changes in mass transport mechanisms. In addition to the available standard test methods, the coefficient of permeability of water has been directly determined using a specially developed test method described in this paper. Results indicate that permeability-reducing admixtures can reduce the water penetration of concrete significantly if used correctly and if the design intent is defined.
Hayes, G, El-Khatib, K & McGregor, C 1970, 'Supporting health informatics with platform-as-a-service cloud computing', Lecture Notes in Electrical Engineering, pp. 1149-1158.
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Recent progression in health informatics data analysis has been impeded due to lack of hospital resources and computation power. To remedy this, some researchers have proposed a cloud-based web service patient monitoring system capable of providing offsite collection, analysis, and dissemination of remote patient physiological data. Unfortunately, some of these cloud services are not effective without utilizing next-generation hardware management techniques. In order to make cloud based patient monitoring a reality, this paper shows how leveraging an underlying platform-as-a-service (PaaS) cloud model can provide integration with web service patient monitoring systems while providing high availability, scalability, and security. © Springer Science+Business Media Dordrecht 2014.
He, T, Wang, X & Ni, W 1970, 'Utility maximization for chunk-based OFDMA systems with multiple ber requirements', 2014 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR), 2014 IEEE International Workshop Technical Committee on Communications Quality and Reliability (CQR 2014), IEEE.
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© 2014 IEEE. In wireless orthogonal frequency division multipleaccess (OFDMA) standards, subcarriers are grouped into chunks and a chunk of subcarriers is made as the minimum unit for subcarrier allocation. We investigate the chunk-based resource allocation for OFDMA downlink, where data streams contain packets with diverse bit-error-rate (BER) requirements. Supposing that adaptive transmissions are based on a number of discrete modulation and coding modes, we propose the optimal resource allocation scheme that maximizes a utility function of average user rates. With proper formulation, the relevant optimization problem is cast as an mixed-integer program, and it is shown that the optimal strategy for this problem can be obtained through Lagrange dual-based gradient iterations with fast convergence and low computational complexity per iteration. Furthermore, a novel on-line algorithm is developed to approach the optimal strategy without knowledge of intended wireless channels a priori. Numerical results show that the proposed optimal chunk allocation schemes with different α-fair utility functions can nicely trade off total network throughput for fairness among users.
He, X & Liang, D 1970, 'SPH study on the influence of shear-rate dependent effects on the flow behaviour of dry granular assemblies', Proceedings of the 11th (2014) Pacific/Asia Offshore Mechanics Symposium, PACOMS 2014, pp. 198-204.
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Phenomenally, the loose soil behaves like a 'frictional material' in most circumstance, so Mohr-coulomb type models are adopted in the modeling. However, these models generally do not consider the shear-rate dependent effect of the MohrCoulomb friction angle. This paper reports on an application of the incompressible Smooth Particle Hydrodynamic method to the dynamics of the dry granular assemblies. The traditional model with a constant friction angle is compared with the modified Mohr-Coulomb model with a shear-rate dependent friction angle, by comparing their predicted runout of dry granular columns.
He, Y, Dutkiewicz, E, Fang, G & Mueck, M 1970, 'Licensed Shared Access in Distributed Antenna Systems Enabling Network Virtualization', Proceedings of the 1st International Conference on 5G for Ubiquitous Connectivity, 1st International Conference on 5G for Ubiquitous Connectivity, ICST, Akaslompolo, Finland, pp. 76-80.
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© 2014 ICST. A distributed antenna system (DAS) architecture is considered to be a key enabler for further Network Virtualization where different network configurations are created as needed by a centralized decision making unit that is typically integrated into the Cloud Radio Access Network (C-RAN) which offers a potential architecture for 5G wireless communication systems. Many schemes have been proposed for Fractional Frequency Reuse (FFR) for resource allocation in the static cellular network architecture. In this paper, we investigate using the emerging Licensed Shared Access (LSA) on the downlink cell edge in a Network Virtualization context. We derive a threshold of the LSA bandwidth ratio for the average capacity and analyze the average capacity gain. This provides a guide in the decision making for using LSA bandwidth in DAS with Network Virtualization.
He, Y, Dutkiewicz, E, Fang, G & Shi, J 1970, 'Differential capacity bounds for distributed antenna systems under low SNR conditions', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Australia, pp. 5550-5554.
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A distributed antenna system (DAS) architecture is believed to be able to enhance capacity performance of Cloud Radio Access Networks (C-RAN), especially for users near the cell boundary who experience low Signal-Noise-Ratio (SNR). However, the problem of finding the analytical bounds on the capacity of DAS with the rising number of antennas in low SNR rigime has not been fully studied. In this paper, we investigate a case in C-RAN of multiple transmitting base stations and a single receiving user under low SNR conditions. We derive closed-form upper and lower bounds in efficiently computable expressions for differential capacity (DCAP) using the moment generating function (MGF) of SNR. Bounds accuracy is evaluated and compared to results in current literature. Numerical results corroborate our analysis and the analytic bounds on DCAP is tight in the low SNR regime. Furthermore, The upper bound approximates better compared with the one obtained in [1] under two different channel models. These lower and upper bounds provide more accurate capacity measures which can be used in the evaluation of DAS performance and C-RAN design. © 2014 IEEE.
He, Y, Dutkiewicz, E, Fang, G & Shi, J 1970, 'Downlink capacity in Cloud Radio Access Networks with Fractional Frequency Reuse', 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), IEEE, Sydney, Australia, pp. 424-428.
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© 2014 National Institute of Information and Communicatio. A distributed antenna system (DAS) architecture is believed to be able to enhance capacity performance of Cloud Radio Access Networks (C-RAN), especially for users near the cell boundary. Many schemes have been proposed to plan Fractional Frequency Reuse (FFR) on resource allocation. Some of them have leveraged the Coordinated multi-point transmission (CoMP) to improve the cell-edge performance. In this paper, we investigate and compare the capacity of Single User with Multiple-Input-Single-Output (SU-MISO) and Multiple Users with Multiple-Input-Multiple-Output (MU-MIMO) in C-RAN of multiple transmitting remote antenna units with FFR.
Heitor, A, Indraratna, B & Rujikiatkamjorn, C 1970, 'Aspects Related to the Small Strain Shear Modulus Behavior of Compacted Soils Subjected to Wetting and Drying', Geo-Congress 2014 Technical Papers, Geo-Congress 2014, American Society of Civil Engineers, pp. 1433-1442.
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The dynamic properties of a soil are routinely investigated to describe its engineering behavior under repeated loading. Although the effect of suction on the dynamic response of soils is significant, there have been limited studies in which the post-compacted changes in suction induced by wetting and drying cycles have been considered. In this paper, aspects related to the dynamic properties with special reference to the small strain shear modulus of compacted soils subjected to wetting and drying are described. Further evidence on the dynamic response in terms of small strain shear modulus (G0) of a compacted soil subjected to wetting-drying is presented and novel insights into small strain behavior in multiple cycles of wetting and drying are shown. Particular emphasis is placed on the hysteric behavior and its dependence on the suction history. The results not only confirm the importance of the current suction ratio (or CSR), but also suggest that subsequent wetting-drying cycles further induce hysteretic changes in relation to the small strain shear modulus, particularly when following the wetting paths. © 2014 American Society of Civil Engineers.
Heitor, A, Indraratna, B & Rujikiatkamjorn, C 1970, 'Role of the compaction energy level on the small strain stiffness of a silty sand soil subjected to wetting and drying', UNSATURATED SOILS: RESEARCH & APPLICATIONS, VOLS 1 AND 2, 6th International Conference on Unsaturated Soils (UNSAT), CRC Press, Sydney, AUSTRALIA, pp. 749-754.
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Ho, L, Fatahi, B & Khabbaz, H 1970, 'Analytical solution for one-dimensional consolidation of unsaturated soil deposit subjected to step loading', UNSATURATED SOILS: RESEARCH & APPLICATIONS, VOLS 1 AND 2, International conference on Unsaturated Soils, Taylor & Francis Group, Sydney, pp. 1763-1769.
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This paper discusses a simple yet precise analytical solution for one-dimensional (1-D) consolidation of an unsaturated soil deposit subjected to a step loading. This solution is derived from nonlinear governing equations of flow using eigenfunction expansions and Laplace transform techniques. In addition, the mathematical development adopts one-way drainage condition for the unsaturated soil, in which the top boundary is permeable to the air and water phases whereas the base is impervious to these phases. Eigenfunctions and eigenvalues are parts of the general solution and can be obtained based on the proposed drainage boundary condition. Furthermore, uniformly distributed initial pore pressures can be used to determine the initial generalised Fourier coefficients. The Laplace transform method is adopted to solve the first-order differential equations. Once the equations with transformed domain are obtained, the final solutions, which are proposed to be functions of time (t) and depth (z), can be achieved by taking an inverse Laplace transform. A worked example is provided to present the consolidation characteristics of unsaturated soils based on the proposed solution. Significance of air to water permeability ratio on the excess pore-water and pore-air pressure dissipation and compression is investigated and discussed. © 2014 Taylor & Francis Group.
Ho, L, Fatahi, B & Khabbaz, H 1970, 'One-Dimensional Consolidation of Unsaturated Soil Deposit with Various Initial Conditions', Soil Behavior and Geomechanics, Geo-Shanghai 2014, American Society of Civil Engineers, Shanghai, pp. 145-155.
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This study presents a novel analytical solution for one-dimensional (1-D) consolidation for unsaturated soils using the Eigen function expansion method to solve inhomogeneous governing equations of air and water phases. Eigen functions and eigen values are parts of the general solution and can be obtained based on the proposed boundary condition. Additionally, the Laplace transform method is adopted to solve the first-order differential equations. Once all equations with transformed domain are obtained, the final solutions, which are proposed to be functions of time and depth, can be achieved by taking an inverse Laplace transform. The mathematical procedure accentuates a non-uniform initial condition in which initial excess pore pressures are linearly decreasing with depth. Dimensionless parameters a and w that control the gradients of distributions of initial excess pore-air and pore-water pressures, respectively, are introduced in this paper. A worked example is provided to investigate effects of a and w on the consolidation behaviour of unsaturated soils. © 2014 American Society of Civil Engineers.
Hoang, DB & Chen, L 1970, 'Health Records Protection in Cloud Environment', 2014 IEEE 13th International Symposium on Network Computing and Applications, 2014 IEEE 13th International Symposium on Network Computing and Applications (NCA), IEEE, USA, pp. 85-90.
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© 2014 IEEE. Cloud computing is a cost-effective solution to the current expensive IT infrastructure for healthcare but it has not been adopted due to the due to the concerns that current Cloud technologies are inadequate to protect sensitive information contents of health records in the outsourced environment. This paper focuses on how electronic health records can be protected in the Cloud environments deploying our proposed trust-oriented data protection framework. In particular, it introduces a technique for transforming raw electronic health records to active data cubes and for encoding data for storage and fast access. Implementation of the framework is also presented.
Hoang, DT, Niyato, D & Le, LB 1970, 'Simulation-based optimization for admission control of mobile cloudlets', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, AUSTRALIA, pp. 3764-3769.
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This paper considers an admission control problem for a mobile cloud computing hotspot with a cloudlet. We first formulate the admission control problem as a Markov decision process (MDP). The objective is to maximize the average reward in terms of revenue for cloudlet service providers. However, the MDP could suffer from the complexity problem (i.e., curse of dimensionality). Therefore, we apply the simulation-based algorithm to obtain the optimal policy for the MDP. The algorithm can estimate the performance measure to update the policy gradient in an online fashion. The performance evaluation of the proposed algorithm uses parameters setting profiled from real mobile applications. The extensive simulation results clearly show the convergence and the efficiency of the proposed algorithm. © 2014 IEEE.
Hoang, DT, Niyato, D, Wang, P & Kim, DI 1970, 'Optimal decentralized control policy for wireless communication systems with wireless energy transfer capability', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, AUSTRALIA, pp. 2835-2840.
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In this paper, we consider a decentralized wireless communication system with wireless energy transfer capability. We aim to minimize the total number of packets waiting at wireless nodes for the whole system. We first formulated the optimization problem as a decentralized partially observable Markov decision process (DEC-POMDP). To solve an optimization problem with constraints, we applied the Lagrangian multiplier and the policy gradient method. In addition, to reduce the complexity of DEC-POMDP, we proposed a decentralized online learning algorithm with minimum communication among the wireless nodes. Under appropriate conditions, we showed that the proposed algorithm converges to a local optimal solution. The simulation results clearly showed the convergence as well as the efficiency of the proposed algorithm. © 2014 IEEE.
Hossain, MJ, Lu, J, Mahmud, MA & Aziz, T 1970, 'Advanced decentralized DER control for islanded microgrids', 2014 Australasian Universities Power Engineering Conference (AUPEC), 2014 Australasian Universities Power Engineering Conference (AUPEC), IEEE, Perth, AUSTRALIA.
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Hossain, MJ, Mahmud, MA, Pota, HR, Mithulananthan, N & Bansal, RC 1970, 'Distributed control scheme to regulate power flow and minimize interactions in multiple microgrids', 2014 IEEE PES General Meeting | Conference & Exposition, 2014 IEEE Power & Energy Society General Meeting, IEEE, National Harbor, MD.
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Huang, L, Beirami, A, Sardari, M, Fekri, F, Liu, B & Gui, L 1970, 'Packet-level clustering for memory-assisted compression of network packets', 2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP), 2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP), IEEE, Hefei, PEOPLES R CHINA.
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Huang, S, Zhang, J, Liu, X & Wang, L 1970, 'A Method of Discriminative Information Preservation and In-Dimension Distance Minimization Method for Feature Selection', 2014 22nd International Conference on Pattern Recognition, 2014 22nd International Conference on Pattern Recognition (ICPR), IEEE, Swedish Soc Automated Image Anal, Stockholm, SWEDEN, pp. 1615-1620.
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© 2014 IEEE. Preserving sample's pair wise similarity is essential for feature selection. In supervised learning, labels can be used as a direct measure to check whether two samples are similar with each other. In unsupervised learning, however, such similarity information is usually unavailable. In this paper, we propose a new feature selection method through spectral clustering based on discriminative information as an underlying data structure. Laplacian matrix is used to obtain more partitioning information than other previously proposed structures such as the Eigen space of original data. The high dimension of sample data is projected into a low dimensional space. The in-dimension distance is also considered to get a better compact clustering result. The proposed method can be solved efficiently by updating the projection matrix and its inverse normalized diagonal matrix. A comprehensive experimental study has demonstrated that the proposed method outperforms many state-of-the-art feature selection algorithms with different criterion including the accuracy of clustering/classification and Jaccard score.
Huang, W, McGregor, C & James, A 1970, 'A comprehensive framework design for continuous quality improvement within the neonatal intensive care unit: Integration of the SPOE, CRISP-DM and PaJMa models', IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), IEEE, Valencia, SPAIN, pp. 289-292.
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Huang, X 1970, 'High speed E-band backhaul: applications and challenges', IEEE 2014 International Conference on Communications, IEEE 2014 International Conference on Communications, Sydney, Australia.
Huang, X, Cheng, H, Qin, L, Tian, W & Yu, JX 1970, 'Querying k-truss community in large and dynamic graphs.', SIGMOD Conference, ACM Special Interest Group on Management of Data Conference, ACM, Utah, USA, pp. 1311-1322.
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Community detection which discovers densely connected structures in a network has been studied a lot. In this paper, we study online community search which is practically useful but less studied in the literature. Given a query vertex in a graph, the problem is to find meaningful communities that the vertex belongs to in an online manner. We propose a novel community model based on the κ-truss concept, which brings nice structural and computational properties. We design a compact and elegant index structure which supports the efficient search of κ-truss communities with a linear cost with respect to the community size. In addition, we investigate the κ truss community search problem in a dynamic graph setting with frequent insertions and deletions of graph vertices and edges. Extensive experiments on large real-world networks demonstrate the effectiveness and efficiency of our community model and search algorithms. © 2014 ACM.
Huang, X, Guo, YJ & Zhang, JA 1970, 'Multi-Gigabit Microwave and Millimeter-Wave Communications Research at CSIRO', 2014 14th International Symposium on Communications and Information Technologies (ISCIT), 2014 14th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Incheon, pp. 542-546.
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© 2014 IEEE. High speed and long range wireless backhauls are cost-effective alternatives to fibre networks and becoming more and more attractive as the demand for broadband wireless services grows rapidly in recent years. However, current commercially available wireless backhaul systems neither provide sufficiently high speed nor meet the requirements to achieve both high speed and long range at the same time with sufficiently low latency for targeted applications. Traditional microwave systems can achieve long transmission range, but the data rates are limited to a few hundred Mega bits per second only. Multi-Gigabit wireless communications can be achieved using millimetre-wave (mm-wave) frequency bands, especially the E-bands, but the practical transmission range is still a major weakness. In this paper, the state-of-the-art microwave and mm-wave technologies developed at the Commonwealth Scientific and Industrial Research Organization (CSIRO) are introduced to demonstrate CSIRO's technology leadership in multi-Gigabit wireless communications research and development. The technology trends in multi-Gigabit wireless communications are also discussed and various recently developed microwave and mm-wave systems are compared. It is hoped that this paper will stimulate further research interest and industry development.
Huang, X, Zhang, JA & Guo, YJ 1970, 'Comprehensive imperfection mitigation for precoded OFDM systems', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, NSW, Australia, pp. 5932-5937.
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This paper proposes a comprehensive solution to reduce peak-to-average power ratio (PAPR), cancel out-of-band emission (OOBE), and alleviate the impact of phase noise for precoded orthogonal frequency-division multiplexing (OFDM) systems. Making use of the cancellation and pilot symbols and subcarriers in both data and frequency domains, this solution integrates a number of novel schemes to overcome OFDM's inherent drawbacks and mitigate practical impairments for high speed wireless communications. These schemes include a layered precoding structure, a low complexity OOBE cancellation using both data domain cancellation symbols and frequency domain cancellation subcarriers, and an effective phase noise compensation using data domain pilot symbols. The improved overall system performance of the proposed solution is verified by simulation results. © 2014 IEEE.
Huang, X, Zhang, JA & Guo, YJ 1970, 'Unified out-of-band emission reduction with linear complexity for OFDM', 2014 IEEE/CIC International Conference on Communications in China (ICCC), 2014 IEEE/CIC International Conference on Communications in China (ICCC), IEEE, IEEE, pp. 523-527.
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© 2014 IEEE. This paper proposes a unified out-of-band emission (OOBE) reduction framework with linear complexity for orthogonal frequency-division multiplexing (OFDM) systems. Unlike conventional spectral precoding approaches which use orthogonal precoding matrixes, this framework composes cancellation signals from the linear combinations of data symbols and minimizes the average OOBE power with a general least-squares solution. A joint frequency domain cancellation subcarrier and data domain cancellation symbol allocation scheme is also proposed for discrete Fourier transform precoded OFDM, by which the overall signal processing complexity of the OFDM transceiver is further reduced without impact on other system performance. The advantages of the proposed scheme is verified both analytically and by simulation as compared with some well-known low-complexity OOBE reduction schemes.
Huang, Y & Hong, G 1970, 'Development of a numerical model for investigating the EDI+GPI engine', Proceedings of the 19th Australasian Fluid Mechanics Conference, AFMC 2014, Australasian Fluid Mechanics Conference, 19th Australasian Fluid Mechanics Conference, Melbourne, Australia.
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This paper reports the development of a CFD model for investigating the ethanol direct injection plus gasoline port injection (EDI+GPI) engine. The model was developed using the commercial CFD code ANSYS FLUENT as a solver. The computational domain was meshed based on the scanned geometry of the cylinder head. Realizable k-ε turbulence model was used to simulate the in-cylinder flows. The Eulerian-Lagrangian approach was used to model the evolution of the fuel sprays. The dual-fuel combustion process was modelled by the Extended Coherent Flame Model (ECFM) in the partially premixed combustion concept. A five-dimensional presumed Probability Density Function (PDF) look-up table was used to model the dual-fuel turbulence-chemistry interactions. The model was verified by the good agreement between the numerical and experimental results of spray shapes in a constant volume chamber and cylinder pressure on the EDI+GPI research engine. Sample simulation results showed that the model was capable to simulate the spray combustion process of the EDI+GPI engine and meet the needs of the investigation.
Huang, Y, Fu, K, Yao, L, Wu, Q & Yang, J 1970, 'Saliency Detection Based on Spread Pattern and Manifold Ranking', Proceedings for CCPR Conference on Pattern Recognition, Chinese Conference on Pattern Recognition, Springer Berlin Heidelberg, Changsha; China, pp. 283-292.
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Huang, Y, Hong, G & Huang, R 1970, 'Numerical Investigation to the Effect of Ethanol/Gasoline Ratio on Charge Cooling in an EDI+GPI Engine', SAE Technical Paper Series, SAE 2014 International Powertrain, Fuels & Lubricants Meeting, SAE International, Birmingham, UK, pp. 1-10.
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Copyright © 2014 SAE International. The work reported in this paper contributes to understanding the effects of ethanol/gasoline ratio on mixture formation and cooling effect which are crucial in the development of EDI+GPI engine. The spray simulations were carried out using a commercial CFD code. The model was verified by comparing the numerical and experimental results of spray shapes in a constant volume chamber and cylinder pressure in an EDI+GPI research engine. The verified model was used to investigate the fuel vaporization and mixture formation of the EDI+GPI research engine. The effect of the ethanol/gasoline ratio on charge cooling has been studied. Compared with GPI only, EDI+GPI demonstrated stronger effect on charge cooling by decreased in-cylinder temperature. However, the cooling effect was limited by the low evaporation rate of the ethanol fuel due to its lower saturation vapour pressure than gasoline's in low temperature conditions. The cooling effect of EDI increased with the increase of ethanol/gasoline ratio until the ratio reached 58% (by volume). Further increase of ethanol/gasoline ratio did not improve the cooling effect, but left more liquid ethanol droplets in the combustion chamber by the time of spark. This could lead to incomplete combustion and explained the increased CO and HC emissions with the increase of ethanol content as reported in the experiments. The cooling potential and the completeness of ethanol evaporation were two completing factors that determine the final cooling effect of EDI. This implied the existence of ethanol/gasoline ratio 40-50% which can optimize the cooling effect and combustion performance.
Huang, Y, Huang, S, Huang, R & Hong, G 1970, 'Macroscopic and microscopic characteristics of ethanol and gasoline sprays', Proceedings of the 19th Australasian Fluid Mechanics Conference, AFMC 2014, Australasian Fluid Mechanics Conference, 19th Australasian Fluid Mechanics Conference, Melbourne, Australia, pp. 1-4.
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This paper reports the macroscopic and microscopic characteristics of ethanol and gasoline direct injection sprays from a multi-hole injector. The spray experiments were conducted in a constant volume chamber in atmospheric condition (1 bar and 300 K ambient condition). Compressed nitrogen was used to pressurize the injection pressure which was 6.0 MPa. The injection pulse width was 2.0 ms. The high speed Shadowgraphy imaging technique with a speed of 20000 fps @ 608×288 pixels was used to capture the macroscopic spray characteristics. Based on that, the high magnification imaging of the ethanol and gasoline sprays close to the nozzle exit was conducted with the same flash and camera but with an AFTVision ZL0911 microscope. In order to capture the first fuel seen from the nozzle exit, the camera speed was increased to 50000 fps @ 240×88 pixels. Results showed that the macroscopic characteristics of ethanol and gasoline sprays were rather similar in terms of spray tip penetration, spray angle and spray projected area in spite of the differences in physical properties. However, the magnified spray images at the nozzle exit showed that ethanol spray had a larger and sheet-like ligaments at the end of injection than gasoline spray did due to ethanol's larger surface tension and viscosity. It may imply that the fuel properties only have significant effect on the spray during the primary breakup process, but not on the secondary breakup process.
Huffman Hayes, J & Zowghi, D 1970, 'Ready-set-transfer! Technology transfer in the requirements engineering domain (panel)', 2014 IEEE 22nd International Requirements Engineering Conference (RE), 2014 IEEE 22nd International Requirements Engineering Conference (RE), IEEE, pp. 500-501.
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© 2014 IEEE. Though the primary goal of requirements engineering research is to propose, develop, and validate effective solutions for important practical problems, practice has shown that successful projects take from 20-25 years to reach full industry adoption, while many projects fade and never advance beyond the initial research phase. In this interactive panel, teams of researchers, representing different requirements engineering research areas, bring ideas for technology transfer to a panel of industrial and government practitioners. The teams make interactive presentations and receive feedback from panelists. Beneath the game-show genre of the panel is the serious goal to foster conversation between practitioners and researchers to improve the effectiveness of technology transfer in the requirements engineering community.
Hunt, A, Stuart, B, Thomas, P, James, D, David, B, Geneste, J-M & Delannoy, J-J 1970, 'Characterisation of ochre pigments from Jawoyn rock art paintings of Arnhem Land, Australia', International Symposium on Archaeometry, Los Angeles.
Hussain, W, Hussain, FK & Hussain, OK 1970, 'Maintaining Trust in Cloud Computing through SLA Monitoring', NEURAL INFORMATION PROCESSING, ICONIP 2014, PT III, International Conference on Neural Information Processing, Springer Verlag, Kuching, Malaysia, pp. 690-697.
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© Springer International Publishing Switzerland 2014. Maintaining trust in cloud computing is a significant challenge due to the dynamic nature of cloud computing and the fragility of trust. Trust can be established by conducting successful transactions and meeting all the parameters of the Service Level Agreement (SLA) drawn up between two interacting parties. Trust can be maintained by continuous monitoring of these predefined SLA parameters. There are number of commentaries on SLA monitoring that describe different frameworks for the proactive or reactive detection of SLA violations. The aim of this research is to present an overview of the literature and make a comparative analysis of SLA monitoring in respect of trust maintenance in cloud computing.
Huy Hoang Nguyen, Tuan Nghia Nguyen, Clout, R & Nguyen, HT 1970, 'An advanced control strategy of an electrical — Powered hospital bed', 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Chicago, USA, pp. 1190-1193.
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This paper develops a multivariable control technique for low-level control of an intelligent hospital bed. First, multivariable hospital bed models, nominal, upper bounded and lower bounded models, are obtained via an experimental identification procedure. Based on the obtained nominal model, the triangular diagonal dominance (TDD) decoupling technique is applied to reduce a complex multivariable system into a series of scalar systems. For each scalar system, an online adaptive control strategy is then developed to cope with system uncertainties. Compared to the conventional control method, real-time experimental results showed that our proposed multivariable control technique achieved better performance. Experimental results also confirmed that desirable system performance was guaranteed under system uncertainty conditions.
Iberzanov, A, Nicholson, A, Jenkins, J, Lehmann, T & Hamilton, TJ 1970, 'Calibration of the Nauta structure differential OTA', 2014 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 2014 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), IEEE, pp. 189-192.
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© 2014 IEEE. In this paper we examine a digitally controllable Nauta structure implemented in a 65nm process and identify a strategy useful for calibrating the structure in such a way that a maximum gain is achieved. We propose an efficient and simple tuning procedure that could be the basis for an integrated on-chip calibration solution and investigate the feasibility of implementing it. The procedure would primarily rely on a digitally implemented control circuit to minimize the need for analogue circuitry and therefore area requirements, and power consumption.
Imtenan, S, Masjuki, HH, Varman, M, Arbab, MI, Sajjad, H, Fattah, IMR, Abedin, MJ & Hasib, ASM 1970, 'Emission and Performance Improvement Analysis of Biodiesel-diesel Blends with Additives', Procedia Engineering, 10th International Conference on Mechanical Engineering (ICME), Elsevier BV, BUET, Dhaka, BANGLADESH, pp. 472-477.
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Indraratna, B, Nimbalkar, S & Rujikiatkamjorn, C 1970, 'Preface', Transportation Geotechnics, Elsevier BV, pp. 145-146.
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Indraratna, B, Nimbalkar, S, Rujikiatkamjorn, C & Heitor, A 1970, 'Ground improvement in transport geotechnics – from theory to practice', Computer Methods and Recent Advances in Geomechanics - Proceedings of the 14th Int. Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014, International Conference of the International Association for Computer Methods and Advances in Geomechanics, CRC Press, Kyoto, Japan, pp. 35-44.
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In order to meet the ever-increasing demand for public and freight mobility, concerted efforts are needed to improve transport efficiency, and ensure the maintenance cost of highways and railways to sustainable levels. Ballast and subgrade are major components of rail track infrastructure, and understanding their integrated behaviour as layered strata is of utmost importance. In order to investigate their performance, sophisticated numerical modeling techniques using the Discrete Element Method (DEM) and Finite Element Method (FEM) are commonly employed, but the micro-mechanics of particulate interactions are often taken for granted rather than studied in depth. The salient aspects of particle degradation and confining pressure are discussed through the use of advanced elasto-plastic constitutive models. Applications of DEM to study the behavior of coal-fouled ballast subjected to cyclic loading using a track process simulation apparatus are also presented. The DEM enabled the discrete nature of ballast aggregates to be modeled considering their realistic size and shape, as well as through the force chains developed at contacts.A radial consolidation model under cyclic loading is proposed to capture the behavior of soft clays subjected to cyclic loadingwhen radial drainage is allowed during the loading period. The effects of the cyclic stress history on the generation of excess pore pressure are considered in the proposed model. This model is verified against the results of large-scale triaxial tests. In addition, the study of the behavior of artificially compacted subgrade, is vital to avoid unwanted volume changes caused by moisture variation that can contribute to poor track performance. A model is proposed for assessing the performance of compacted subgrades by evaluating the small strain behavior, considering the soil matric suction, the water content and the compaction energy level. This paper discusses the stability of the transport infrastructure at small...
Indraratna, B, Rujikiatkamjorn, C & Balasubramaniam, AS 1970, 'Consolidation of Estuarine Marine Clays for Coastal Reclamation Using Vacuum and Surcharge Loading', From Soil Behavior Fundamentals to Innovations in Geotechnical Engineering, Geo-Congress 2014, American Society of Civil Engineers, pp. 358-369.
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Soft clays in coastal areas have low shear strength and high compressibility. Consequently, certain construction activities for infrastructure developments in these deposits often pose geotechnical problems due to large time-dependent settlements and lateral movements. Ground improvement techniques are adopted in such terrains to reduce the water content of soft clays by preloading with surcharge fill over vertical drains. Depending on the magnitude of the surcharge load used, substantial immediate settlement with lateral movements can take place during preloading, leading to undrained stability problems in various parts of the clay foundation. Therefore, the use of vacuum-assisted preloading has now become a popular method in ground improvement works where substantial loads need to be carried out to meet a desired rate of settlement and mitigate undrained failure by controlling lateral displacements. To assist the vacuum propagation to significant depths, vertical drains are used in tandem at the Port of Brisbane, Australia, and vacuum-assisted surcharge preloading and conventional surcharge preloading schemes were adopted to reduce the consolidation time and long-term settlement in soft Holocene clays in 2009. It is shown that a combined vacuum surcharge loading system with a standard surcharge fill highlights the obvious benefits of vacuum consolidation in reducing long-term settlement and enhanced stability. © 2014 American Society of Civil Engineers.
Indraratna, B, Rujikiatkamjorn, C & Nimbalkar, S 1970, 'Ground Improvement for Rail, Port and Road Infrastructure--From Theory to Practice', Ground Improvement and Geosynthetics, Geo-Shanghai 2014, American Society of Civil Engineers, pp. 1-19.
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The transportation infrastructure in coastal regions of Australia has been expanded in recent years due to high population density and increased traffic volume. Such expansions require the application of ground improvement techniques to improve performance and sustainability of the infrastructure. In this paper, innovative ground improvement techniques applicable to railway embankments, port reclamation and embankment fills are discussed. For ballasted rail tracks, the performance of different types of geosynthetics for improving the stability and drainage of railway tracks under high cyclic loading is investigated. Instrumented tracks were conducted to measure the in-situ stresses and deformations of ballast at Bulli, New South Wales (NSW), Australia. Furthermore, stabilization of soft formation soils underneath rail tracks using prefabricated vertical drains (PVDs) is also studied through finite element analyses and field measurements at Sandgate. The innovative use of the mixtures of coal wash (CW) and steel furnace slag (SFS) as the reclamation fill is demonstrated through laboratory and field investigations at the Outer Harbor extension of Port Kembla in Wollongong, NSW. The optimum CW-SFS mixtures that may meet most of the geotechnical specifications are proposed to be used as an effective structural fill. Finally, the design of the combined vacuum and surcharge fill system and the construction of the road embankment are described using a case study from the Pacific Highway upgrade project. Field data are presented and interpreted to demonstrate how the embankments performed during construction in both vacuum and non-vacuum areas. © ASCE 2014.
Indraratna, B, Rujikiatkamjorn, C, Nguyen, VT & Raut, A 1970, 'Analytical Solutions for Filtration Process Based on the Constriction Size Concept', Geo-Congress 2014 Technical Papers, Geo-Congress 2014, American Society of Civil Engineers, pp. 999-1006.
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In this paper, an analytical model was proposed to describe the filtration process applicable to a base soil-filter system. The Navier-Stokes equation for porous media was used to capture the hydrodynamic behavior, while numerically a new algorithm has been proposed to solve the Navier-Stokes equation in nonlinear form. The various mixtures of base particles eroded and water flow within the system was computed using the work-energy principle incorporating the constriction size of the filter. The model can assess the filtration process through the flow rate, and the accumulation and erosion of base soil within the filter. By discretizing the base soil and filter domains into discrete elements, the model can predict the time-dependent particle gradation of the filter for each element. Laboratory tests reported in other studies and those conducted by the authors have verified the validity of the model in relation to other available models. © 2014 American Society of Civil Engineers.
Indraratna, B, Rujikiatkamjorn, C, Ni, J & Carter, J 1970, 'Application of geosynthetic vertical drains under cyclic loads for track stabilization', Computer Methods and Recent Advances in Geomechanics, Computer Methods and Recent Advances in Geomechanics, CRC Press, KYOTO, JAPAN, pp. 1157-1162.
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Irfansyah, AN, Pham, L, Nicholson, A, Lehmann, T, Jenkins, J & Hamilton, TJ 1970, 'Nauta OTA in a second-order continuous-time delta-sigma modulator', 2014 IEEE 57th International Midwest Symposium on Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on Circuits and Systems (MWSCAS), IEEE, College Station, TX, pp. 849-852.
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Ishac, K & Rozado, D 1970, 'Low cost human-robot gaze estimation system', Proceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures: the Future of Design, OzCHI '14: the Future of Design, ACM.
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Islam, MR, Guo, Y, Jafari, M, Malekjamshidi, Z & Zhu, J 1970, 'A 43-level 33 kV 3-phase modular multilevel cascaded converter for direct grid integration of renewable generation systems', 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA), 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA), IEEE, Kuala Lumpur, Malaysia, pp. 594-599.
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This paper proposed a 43-level 3-phase 33 kV modular multilevel cascaded (MMC) converter for direct grid integration of renewable generation systems. A high-frequency magnetic-link is considered to generate isolated and balanced multiple dc sources for all of the H-bridge inverters of the MMC converter. The proposed converter is designed and analyzed taking into account the specified system performance, control complexity, cost and market availability of the semiconductors. The simulation results demonstrate the excellent feature of the proposed medium-voltage converter. It is expected that the proposed new technology will have great potential for future renewable power plants and smart grid applications. © 2014 IEEE.
Issa, F, Monticolo, D, Gabriel, A & Mihăiţă, AS 1970, 'An Intelligent System based on Natural Language Processing to support the brain purge in the creativity process', IAENG International Conference on Artificial Intelligence and Applications (ICAIA’14) Hong Kong.
Ivanyos, G, Karpinski, M, Qiao, Y & Santha, M 1970, 'Generalized Wong sequences and their applications to Edmonds' problems', Leibniz International Proceedings in Informatics, LIPIcs, pp. 397-408.
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We design two deterministic polynomial time algorithms for variants of a problem introduced by Edmonds in 1967: determine the rank of a matrix M whose entries are homogeneous linear polynomials over the integers. Given a linear subspace B of the n×n matrices over some field F, we consider the following problems: symbolic matrix rank (SMR) is the problem to determine the maximum rank among matrices in B, while symbolic determinant identity testing (SDIT) is the question to decide whether there exists a nonsingular matrix in B. The constructive versions of these problems are asking to find a matrix of maximum rank, respectively a nonsingular matrix, if there exists one. Our first algorithm solves the constructive SMR when B is spanned by unknown rank one matrices, answering an open question of Gurvits. Our second algorithm solves the constructive SDIT when B is spanned by triangularizable matrices, but the triangularization is not given explicitly. Both algorithms work over finite fields of size at least n + 1 and over the rational numbers, and the first algorithm actually solves (the non-constructive) SMR independent of the field size. Our main tool to obtain these results is to generalize Wong sequences, a classical method to deal with pairs of matrices, to the case of pairs of matrix spaces.
Ivanyos, G, Kulkarni, R, Qiao, Y, Santha, M & Sundaram, A 1970, 'On the Complexity of Trial and Error for Constraint Satisfaction Problems', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Colloquium on Automata Languages and Programming, Springer Berlin Heidelberg, Copenhagen, Denmark, pp. 663-675.
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In a recent work of Bei, Chen and Zhang (STOC 2013), a trial and error model of computing was introduced, and applied to some constraint satisfaction problems. In this model the input is hidden by an oracle which, for a candidate assignment, reveals some information about a violated constraint if the assignment is not satisfying. In this paper we initiate a systematic study of constraint satisfaction problems in the trial and error model. To achieve this, we first adopt a formal framework for CSPs, and based on this framework we define several types of revealing oracles. Our main contribution is to develop a transfer theorem for each type of the revealing oracle, under a broad class of parameters. To any hidden CSP with a specific type of revealing oracle, the transfer theorem associates another, potentially harder CSP in the normal setting, such that their complexities are polynomial time equivalent. This in principle transfers the study of a large class of hidden CSPs, possibly with a promise on the instances, to the study of CSPs in the normal setting. We then apply the transfer theorems to get polynomial-time algorithms or hardness results for hidden CSPs, including satisfaction problems, monotone graph properties, isomorphism problems, and the exact version of the Unique Games problem. © 2014 Springer-Verlag.
Iwaizumi, H, Sugitani, M, Sai, B, Tsutsui, H & Miyanaga, Y 1970, 'Video wireless communication based on high speed 8×8 MIMO-OFDM system', 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP), 2014 6th International Symposium on Communications, Control and Signal Processing (ISCCSP), IEEE.
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Jadidi, MG, Miro, JV, Valencia, R & Andrade-Cetto, J 1970, 'Exploration on continuous Gaussian process frontier maps', 2014 IEEE International Conference on Robotics and Automation (ICRA), 2014 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Hong Kong, pp. 6077-6082.
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© 2014 IEEE. An information-driven autonomous robotic exploration method on a continuous representation of unknown environments is proposed in This paper. The approach conveniently handles sparse sensor measurements To build a continuous model of The environment That exploits structural dependencies without The need To resort To a fixed resolution grid map. A gradient field of occupancy probability distribution is regressed from sensor data as a Gaussian process providing frontier boundaries for further exploration. The resulting continuous global frontier surface completely describes unexplored regions and, inherently, provides an automatic stop criterion for a desired sensitivity. The performance of The proposed approach is evaluated Through simulation results in The well-known Freiburg and Cave maps.
Jan, MA, Nanda, P, He, X, Tan, Z & Liu, RP 1970, 'A Robust Authentication Scheme for Observing Resources in the Internet of Things Environment', 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications, 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE, Beijing, pp. 205-211.
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© 2014 IEEE. The Internet of Things is a vision that broadens the scope of the internet by incorporating physical objects to identify themselves to the participating entities. This innovative concept enables a physical device to represent itself in the digital world. There are a lot of speculations and future forecasts about the Internet of Things devices. However, most of them are vendor specific and lack a unified standard, which renders their seamless integration and interoperable operations. Another major concern is the lack of security features in these devices and their corresponding products. Most of them are resource-starved and unable to support computationally complex and resource consuming secure algorithms. In this paper, we have proposed a lightweight mutual authentication scheme which validates the identities of the participating devices before engaging them in communication for the resource observation. Our scheme incurs less connection overhead and provides a robust defence solution to combat various types of attacks.
Jayawickrama, BA, Dutkiewicz, E, Oppermann, IJ & Mueck, M 1970, 'Iteratively reweighted compressive sensing based algorithm for spectrum cartography in cognitive radio networks.', WCNC, IEEE Wireless Communications and Networking Conference, IEEE, Istanbul, Turkey, pp. 719-724.
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© 2014 IEEE. Spectrum cartography is the process of constructing a map showing Radio Frequency signal strength over a finite geographical area. In our previous work we formulated spectrum cartography as a compressive sensing problem and we illustrated how cartography can be used in the context of discovering spectrum holes in space that can be exploited locally in cognitive radio networks. This paper investigates the performance of compressive sensing based approach to cartography in a fading environment where realtime channel estimation is not feasible. To accommodate for lack of channel information we take an iterative approach. We extend the well-known iteratively reweighted ℓ1 minimisation approach by exploiting spatial correlation between two points in space. We evaluate the performance in an urban environment where Rayleigh fading is prominent. Our numerical results show a significant improvement in the probability of accurately making a spectrum sensing decision, in comparison to the well-known weighted approach and the traditional compressive sensing based method.
Jiang, L, Miao, Y, Yang, Y, Lan, Z & Hauptmann, AG 1970, 'Viral Video Style', Proceedings of International Conference on Multimedia Retrieval, ICMR '14: International Conference on Multimedia Retrieval, ACM, Scotland, pp. 193-200.
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Viral videos that gain popularity through the process of Internet sharing are having a profound impact on society. Existing studies on viral videos have only been on small or confidential datasets. We collect by far the largest open benchmark for viral video study called CMU Viral Video Dataset, and share it with researchers from both academia and industry. Having verified existing observations on the dataset, we discover some interesting characteristics of viral videos. Based on our analysis, in the second half of the paper, we propose a model to forecast the future peak day of viral videos. The application of our work is not only important for advertising agencies to plan advertising campaigns and estimate costs, but also for companies to be able to quickly respond to rivals in viral marketing campaigns. The proposed method is unique in that it is the first attempt to incorporate video metadata into the peak day prediction. The empirical results demonstrate that the proposed method outperforms the state-of-the-art methods, with statistically significant differences. Copyright 2014 ACM.
Jiang, Z, Dai, N, Yang, L, Peng, J, Li, H, Li, J & Liu, W 1970, 'Effects of Al2O3 composition on the near-infrared emission in Bi-doped and Yb–Bi-codoped silicate glasses for broadband optical amplification', Journal of Non-Crystalline Solids, Elsevier BV, pp. 196-199.
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Jing Zhou, Xu, J, Aihuang Guo, Su, S & Hung Nguyen 1970, 'A game theory control scheme in medium access for wireless body area network', 10th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2014), 10th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2014), Institution of Engineering and Technology, China, pp. 404-409.
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Wireless Body Area Network (WBAN) has been considered for applications in medical, healthcare and sports fields. Although there are several protocols for wireless personal area networks, specific features and reliability requirements in WBAN bring new challenges in protocol design. An appropriate control scheme in the MAC layer can make a significant improvement in network performance. Based on traffic priority and prior knowledge this paper proposes a game theoretical framework to smartly control access in contention period and contention free period as defined in IEEE 802.15.6 standard. The coordinator controls access probability of contention period based on users' priority in CSMA/CA and allocates suitable slots with strategies for best payoff based on link states in guaranteed time slots (GTS). The simulation results show the improved performance especially in heavily loaded channel condition when the optimal control mode is applied.
Jing, J, Luo, X, Xuan, J & Liu, W 1970, 'Cognition-Based Semantic Annotation for Web Images.', BDCloud, International Conference on Big Data and Cloud Computing, IEEE Computer Society, Sydney, NSW, Australia, pp. 540-546.
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Due to the semantic gap between low-level visual features and high-level semantic content of images, the methods for image annotation based on low-level visual features, cannot well meet the requirement of knowledge discovery from web images. Therefore, the automatic acquisition for high-level semantic content of image has become a hot research topic. The traditional image annotation methods represent images only by a few keywords, which cannot completely describe and rationally organize the high-level semantics of images, so it will lose a great deal of semantic information. Based on the different levels and different aspects of web images, we propose a new method to express and organize the high-level semantic content of web images. The method expresses the different levels semantic content of one image as a three-level network, composed of background semantic level, complementary semantic level and fine-grained semantic level. The experimental results show that our method is effective and efficient on the image annotation.
Jonas, A, Aas, M, Karadag, Y, Bayraktar, H, Anand, S, McGloin, D & Kiraz, A 1970, 'Biological lasing in liquid microdroplets deposited on a superhydrophobic surface', Conference on Lasers and Electro-Optics Europe - Technical Digest, Conference on Lasers and Electro-Optics (CLEO), IEEE, San Jose, CA.
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We demonstrate lasing in water/glycerol micro droplets which stand on a superhydrophobic surface and contain purified Venus variant of the yellow fluorescent protein or dilute suspensions of E. Coli bacterial cells expressing stably the Venus protein.
Jonás, A, Aas, M, Karadag, Y, Bayraktar, H, Anand, S, McGloin, D & Kiraz, A 1970, 'Biological lasing in liquid microdroplets deposited on a superhydrophobic surface', Optics InfoBase Conference Papers.
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We demonstrate lasing in water/glycerol microdroplets which stand on a superhydrophobic surface and contain purified Venus variant of the yellow fluorescent protein or dilute suspensions of E. Coli bacterial cells expressing stably the Venus protein. © 2014 OSA.
Jonáš, A, Aas, M, Karadag, Y, Bayraktar, H, Anand, S, McGloin, D & Kiraz, A 1970, 'Biological lasing in liquid microdroplets deposited on a superhydrophobic surface', Optics InfoBase Conference Papers.
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We demonstrate lasing in water/glycerol microdroplets which stand on a superhydrophobic surface and contain purified Venus variant of the yellow fluorescent protein or dilute suspensions of E. Coli bacterial cells expressing stably the Venus protein. © 2014 Optical Society of America.
Jonáš, A, Aas, M, Karadag, Y, Bayraktar, H, Anand, S, McGloin, D & Kiraz, A 1970, 'Biological lasing in liquid microdroplets deposited on a superhydrophobic surface', CLEO: 2014, CLEO: Applications and Technology, OSA.
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Jozi, BJ, Dackermann, U, Braun, RB, Li, JL & Samali, BS 1970, 'Application and improvement of conventional stress-wave-based non-destructive testing methods for the condition assessment of in-service timber utility poles', Proceedings of the 23rd Australasian Conference on the Mechanics of Structures and Materials, Australasian Conference on the Mechanics of Structures and Materials, Southern Cross University, Byron Bay, Australia, pp. 1197-1202.
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Timber utility poles represent a significant part of Australia’s infrastructure for power distribution andcommunication networks. Due to their advanced age, significant efforts are undertaken to preventutility lines from failure. However, the lack of reliable tools for assessing the condition of in-servicepoles seriously jeopardizes the maintenance and asset management. Non-destructive testing (NDT)methods based on stress wave propagation can potentially offer simple and cost-effective tools for thecondition assessment of in-service timber poles. Based on the impact direction and location, mainlytwo wave types can be excited in a pole, i.e. longitudinal and bending waves. A conventional stresswave-based method that analyses longitudinal waves is the Sonic Echo (SE) method; and a typicalsignal processing method for the analysis of bending waves (BW) is the Short Kernel Method (SKM).In this paper, firstly, the application of the conventional SE method and the BW method with SKMdata analysis is investigated for the condition assessment of timber poles from a signal processingperspective. Secondly, to improve limitations of the current methods, the application of a multisensorsarray is proposed for more reliable and accurate results. The new method is validated onnumerical data of a timber pole modelled with both isotropic and orthotropic material properties.
Jupp, JR 1970, 'BIM Investment: Understanding value, return and models of assessment', Proceedings: 38th AUBEA International Conference Webiste, Australian Universities Building Education Association Annual Conference, AUBEA2013, Auckland, pp. 1-10.
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As adoption of the BIM methodology (building information modelling) grows, so too do levels of investment in new technologies, processes and organisational change. However due to complexity at the project level, where BIM implementation (and integration) occurs, it can be difficult for firms to evaluate the benefits, costs and risks of investment. This paper reviews existing research surrounding BIM, its value, the return on investment (ROI) and models of assessment. The author draws on information systems (IS) and construction information technology (IT) research so as to explore the requirements of a BIM investment evaluation methodology. Difficulties in applying existing models are identified, revealing the need for a value chain approach that accounts for the project lifecycle. The paper describes the salient outcomes of interest linked to firm level adoption and project based implementation of BIM and discusses the implications relative to measuring their return.
Kalhori, H, Ye, L, Mustapha, S & Li, J 1970, 'Impact force reconstruction on a concrete deck using a deconvolution approach', 8th Australasian Congress on Applied Mechanics, ACAM 2014, as Part of Engineers Australia Convention 2014, Australasian Congress on Applied Mechanics, Informit, Melbourne, Australia, pp. 763-771.
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In this study, impact force history applied to a steel-reinforced concrete deck has been reconstructed based on vibration response signals collected at random positions from the impact location. A deconvolution technique in time domain utilizing the responses recorded, from piezoelectric (PZT) sensors and accelerometers are used to reconstruct the impact force. As the deconvolution is an ill-conditioned inverse problem, the truncated singular value decomposition (TSVD) and the Tikhonov regularization are used to regularize the problem. The effect of different attachment methods of the PZTs/accelerometers on the structure is investigated including the use of Blu-tack and the 5-minnutes Araldite. It is found that with the use of the Blu-tack, the reconstructed force is not predicted precisely which can be attributed to the nonlinear behaviour of the Blu-tack. In addition, the effect of the location of the measurement point on quality of reconstructed impact force is investigated. It is found that when the measurement location is very close to the impact site, there is no need to use the regularization techniques and the pseudo-inverse method can provide acceptable results.
Kamaleswaran, R & McGregor, C 1970, 'A Real-Time Multi-dimensional Visualization Framework for Critical and Complex Environments', 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS), IEEE, Icahn Sch Med, New York, NY, pp. 325-328.
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Karimullah Hussaini, SK, Indraratna, B & Vinod, JS 1970, 'An Experimental Investigation on the Deformation and Degradation Behaviour of Geogrid-Reinforced Ballast', Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance, The Second International Conference on Railway Technology: Research, Development and Maintenance, Civil-Comp Press.
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© Civil-Comp Press, 2014. Railroad ballast, owing to its unbounded granular nature, spreads laterally when subjected to large vertical axle loads, which influences the track stability. In this view, large-scale cyclic tests have been conducted on ballast to explore the role of geogrid in controlling the lateral deformation of ballast and hence improving the track performance. Fresh latite ballast having a mean particle size of 35 mm and geogrids with different aperture sizes was used for the investigations. Tests were conducted using a modified process simulation test (MPST) apparatus at a loading frequency of 20 Hz, with geogrid placed at the subballast-ballast interface and within the ballast. The laboratory experimental results indicate that the geogrid arrests the lateral spreading of ballast, reduces the extent of permanent vertical settlement and minimises the particle breakage under high-frequency cyclic loading. However, the improvement in track performance is directly influenced by the effectiveness of the ballast-geogrid interface. It is shown that the higher the shear strength at the ballast-geogrid interface, the lower is the deformation and degradation of ballast. In addition, the geogrid also reduces the extent of vertical stress in the subgrade soil. These test results highlight the role of geogrid in stabilising the ballast thus encouraging its use as track reinforcement in railway applications.
Kasauka, D, Tsutsui, H, Okuhata, H & Miyanaga, Y 1970, 'Computational cost analysis and implementation of accelerated iterative shrinkage smoothing', Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific, 2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), IEEE.
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Kaur, P, Goyal, M, Lu, J & IEEE 1970, 'A Price Prediction Model for Online Auctions using Fuzzy Reasoning Techniques', 2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), IEEE International Conference on Fuzzy Systems, IEEE, Beijing, China, pp. 1311-1318.
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E-consumers are urged to opt for the best bidding strategies to excel in the competitive environment of multiple and simultaneous online auctions for same or similar items. It becomes very complicated for the bidders to make the decisions of selecting which auction to participate in, place single or multiple bids, early or late bidding and how much to bid. In this paper, we present the design of an autonomous dynamic bidding agent (ADBA) that makes these decisions on behalf of the buyers according to their bidding behaviors. The agent develops a comprehensive methodology for initial price estimation and an integrated model for final price prediction. The initial price estimation methodology selects an auction to participate in and assesses the value (initial price) of the auctioned item. Then the final price prediction model forecasts the bid amount by designing different bidding strategies using fuzzy reasoning techniques. The experimental results demonstrated improved initial price prediction outcomes by proposing a clustering based approach. Also, the results show the proficiency of the fuzzy bidding strategies in terms of their success rate and expected utility.
Khabbaz, H & Fatahi, B 1970, 'A critical and comparative review of ballasted and slab tracks: Where are we heading?', Civil-Comp Proceedings, International Conference on Railway Technology: Research, Development and Maintenance, Civil-Comp Press, France.
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High speed rail (HSR) is currently an experienced rail transport system, which has been recognised to deliver real benefits against road and air transportation. This paper highlights the geotechnical problems involved with HSR on ballasted tracks and how slab tracks can overcome these issues. There are many geotechnical issues surrounding the performance of high-speed trains on ballasted railway tracks. A number of noticeable issues include critical velocity effects, track vibration and large settlement due to ballast degradation. In comparison to ballasted tracks, slab tracks reduce the construction height, reduce track maintenance, reduce the wear down of rails, provide better riding comfort at high speeds, provide higher availability, reduce vibration and secondary airborne noises, improve load distribution, provide high lateral and longitudinal track stability and eliminate problems with vegetation control, which is essential for a rail track structure. Accordingly, many railway experts have concluded that it is time to say goodbye to the ballasted tracks. Based on several case studies, laboratory results and validated numerical analysis, this paper clearly elaborates that if ballasted tracks are designed and stabilised properly, they will be cost effective and can well-perform under dynamic loads of high speed rails.
Khabbaz, H, Lin, EX & Fatahi, B 1970, 'A Parametric Study on Shoring Structures with Multi-Row Anchors in Layered Soil', Earthwork Project Management, Slope Stability Analysis, and Wave-Based Testing Techniques, Geo-Hubei 2014 International Conference on Sustainable Civil Infrastructure, American Society of Civil Engineers, China, pp. 81-88.
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This paper examines two numerical methods commonly used in shoring design, namely the beams on elastic foundation method using WALLAP and the finite element method (FEM) using PLAXIS. Numerous design parameters are also investigated to study the effects of the parametric variations on each method. The shoring model analyzed in this study is based on a deep excavation project in the Sydney central business district. One of the significant findings of this study was that the results obtained from both WALLAP and PLAXIS showed marginal numerical errors, which, in turn, need to be examined closely. Generally, the beams on elastic foundation method are more conservative than the FEM. In comparison with the FEM, the soil modulus has more significant effects than the shear strength parameters in the beams on elastic foundation method. Moreover, the resulting shear forces, bending moments, and lateral displacements of the shoring are less sensitive to the variation of the soil friction angle than the cohesion. The findings of this study can be taken into consideration by practicing civil engineers when designing appropriate shoring systems in urban areas. © ASCE 2014.
Khalilpour, R 1970, 'Produced Water Management: An Example of a Regulatory Gap', All Days, SPE Oilfield Water Management Conference and Exhibition, SPE.
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AbstractThe current Oil-in-Water (OiW) regulations, measuring only dispersed oil and grease content, have been practiced for long time without any significant improvement. This is whilst the major hazardous portion of produced water falls in dissolved components. Although, in recent years numerous technologies have been commercialized for online measurement and treatment of the entire components of produced water, the regulations have not been updated, except for some limited regions.Given the international awareness of sustainability and the move towards zero discharge, it seems that the environmental authorities have delayed in upgrading their current unsustainable 'oil-and-grease' regulations with more accurate ones. It is recommendable to the prospective field developers/operators to take into account the dissolved components of produced water and consider the economic consequences of adopting tertiary produced water polishing technologies.
Khalilpour, R 1970, 'Produced water management: An example of a regulatory gap', Society of Petroleum Engineers - SPE Oilfield Water Management Conference and Exhibition.
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The current Oil-in-Water (OiW) regulations, measuring only dispersed oil and grease content, have been practiced for long time without any significant improvement. This is whilst the major hazardous portion of produced water falls in dissolved components. Although, in recent years numerous technologies have been commercialized for online measurement and treatment of the entire components of produced water, the regulations have not been updated, except for some limited regions. Given the international awareness of sustainability and the move towards zero discharge, it seems that the environmental authorities have delayed in upgrading their current unsustainable 'oil-and-grease' regulations with more accurate ones. It is recommendable to the prospective field developers/operators to take into account the dissolved components of produced water and consider the economic consequences of adopting tertiary produced water polishing technologies.
Khawaji, A, Chen, F, Zhou, J & Marcus, N 1970, 'Trust and cognitive load in the text-chat environment', Proceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures: the Future of Design, OzCHI '14: the Future of Design, ACM, pp. 324-327.
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This paper examines how different levels of cognitive load can affect trust in the text-chat environment. It also examines how the mouse movements of participants can indicate the level of cognitive load when they chat with each other. We designed two chat systems: one in which subjects chat under low mental load and the other in which subjects chat under high mental load. Twenty subjects participated in the study and the results showed significant differences in the level of trust between subjects under different cognitive loads; that is, subjects who chatted under low mental load showed more trust in their partners. Moreover, the mouse data obtained proved to be effective in indicating the level of cognitive load existing between the subjects. However, this work suggests that to establish trust in the chat environment, it is better to communicate under a low cognitive load. Our findings also show the ability of designed systems to measure cognitive load via tracking mouse events for the purpose of providing assistance to communicators.
Khazaei, H, McGregor, C, Eklund, M, El-Khatib, K & Thommandram, A 1970, 'Toward a Big Data Healthcare Analytics System: A Mathematical Modeling Perspective', 2014 IEEE World Congress on Services, 2014 IEEE World Congress on Services (SERVICES), IEEE, Anchorage, AK, pp. 208-215.
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Khoo, BL, Warkiani, ME, Guan, G, Tan, DS-W, Lim, AST, Lim, W-T, Yap, YS, Lee, SC, Soo, RA, Han, J & Lim, CT 1970, 'Ultra-High Throughput Enrichment of Viable Circulating Tumor Cells', IFMBE Proceedings, Springer International Publishing, pp. 1-4.
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© Springer International Publishing Switzerland 2014. Detection, enumeration and characterization of rare circulating tumor cells (CTCs) from the peripheral blood of cancer patients potentially provide critical insights into tumor biology and is promising for cancer diagnosis and prognosis. Here, we present a novel multiplexed spiral microfluidic device for ultra-high throughput, label-free enrichment of CTCs from clinically relevant blood volumes. The fast processing time of the technique (7.5 mL blood in < 5 min) and high sensitivity of the device lends itself to a broad range of potential genomic and transcriptomic applications. The method can specifically separate and preserve all fractions of blood (i.e., plasma, CTCs and PBMC) for diverse downstream analysis. CTCs were detected from 100% (10/10) of blood samples collected from patients with advanced stage metastatic breast (12- 56 CTC/ml) or lung cancer (30-153 CTC/ml). Cancer cells were characterized with immunostaining and fluorescence in situ hybridization (FISH) (HER2/neu). Retrieved cells were unlabelled and hence more viable for propagation and other informative analysis such as the next generation sequencing (NGS) to guide treatment and individualized patient care.
Khorsandnia, N, Valipour, H, Foster, S & Crews, KI 1970, '1D Frame Element Formulation For Analysis Of Layered Composite Beams', Proceedings of the 23rd Australasian Conference on the Mechanics of Structures and Materials, Australasian Conference on the Mechanics of Structures and Materials, Southern Cross University, Byron Bay, Australia, pp. 795-800.
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In this paper a numerical model for non-linear analysis of layered composite beams is developed. It
takes advantage of an efficient 1D frame element with forced-based formulation. The developed
element is equipped with lumped translational springs at the nodal points to model the partial shear
interaction between the layers. Also, the proposed FE model can capture the material non-linearities as
well as non-linear shear-slip behaviour of connections between the layers. The sections of frame
element are discretised into fibres and the stiffness matrix of each section can be determined by
integrating the stiffness of fibres over the section depth based on Navier-Bernoulli hypothesis. The
superior performance of the developed FE model for capturing the behaviour of composite beams was
demonstrated by comparing the numerically predicted results with experimental data. The proposed
model can efficiently capture the global response (i.e. load vs deflection, slip, strain and stress) of the
composite beams up to failure with adequate accuracy.
Khosoussi, K, Huang, S & Dissanayake, G 1970, 'Novel insights into the impact of graph structure on SLAM', 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), IEEE, Chicago, IL, pp. 2707-2714.
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© 2014 IEEE. SLAM can be viewed as an estimation problem over graphs. It is well known that the topology of each dataset affects the quality of the corresponding optimal estimate. In this paper we present a formal analysis of the impact of graph structure on the reliability of the maximum likelihood estimator. In particular, we show that the number of spanning trees in the graph is closely related to the D-optimality criterion in experimental design. We also reveal that in a special class of linear-Gaussian estimation problems over graphs, the algebraic connectivity is related to the E-optimality design criterion. Furthermore, we explain how the average node degree of the graph is related to the ratio between the minimum of negative log-likelihood achievable and its value at the ground truth. These novel insights give us a deeper understanding of the SLAM problem. Finally we discuss two important applications of our analysis in active measurement selection and graph pruning. The results obtained from simulations and experiments on real data confirm our theoretical findings.
Kim, J & Cheng, J 1970, 'Delayed optimisation for robust and linear pose-graph SLAM', Australasian Conference on Robotics and Automation, ACRA.
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This paper addresses a robust and efficient solution to eliminate false loop-closures in a posegraph linear SLAM problem. Linear SLAM was recently demonstrated based on submap joining techniques in which a nonlinear coordinate transformation was performed separately out of the optimisation loop, resulting in a convex optimisation problem. This however introduces added complexity in dealing with any false loop-closures, which mostly stems from two factors: a) the limited local observations in submap-joining stages and b) the non blockdiagonal nature of the information matrix of each submap. To address these problems, we propose a Robust Linear SLAM (RL-SLAM) by 1) developing a delayed optimisation for outlier candidates and 2) utilising a Schur complement to efficiently eliminate corrupted information block. Based on this new strategy, we prove that the spread of outlier information does not compromise the optimisation performance of inliers and can be fully filtered out from the corrupted information matrix. Experimental results based on public synthetic and real-world datasets in 2D and 3D environments show that this robust approach can cope with the incorrect loop-closures robustly and effectively.
Kim, S & Kim, J 1970, 'Recursive Bayesian updates for occupancy mapping and surface reconstruction', Australasian Conference on Robotics and Automation, ACRA.
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This paper proposes a new method to build two kinds of map representations, occupancy maps and surface meshes, in a single framework of Gaussian processes and update recursively using Bayesian Committee Machines. Previously, Gaussian processes were applied to robotic mapping as a batch process considering all the observations at once. However, that approach not only increases the number of training data, which is critical to the time complexity of Gaussian processes, but also is not able to update the final map with new observations. Therefore, we propose to recursively update Gaussian process maps using Bayesian Committee Machines based on the static world assumption. We demonstrate our method with a real dataset and compare the accuracy and run time with OctoMaps. Experimental results confirm that our method successfully works with a sequence of observations. Our method is slower than OctoMaps but generates more accurate occupancy maps as well as surface meshes without additional cost of computation.
Kiraz, A, Jonáš, A, Aas, M, Karadag, Y, Brzobohatý, O, Ježek, J, Pilát, Z, Zemánek, P, Anand, S & McGloin, D 1970, 'Droplet resonator based optofluidic microlasers', SPIE Proceedings, SPIE LASE, SPIE, San Francisco, CA.
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Kirchner, N, Alempijevic, A, Virgona, A, Dai, X, Plöger, PG & Venkat, RK 1970, 'A robust people detection, tracking, and counting system', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, Australasian Robotics and Automation Association, Melbourne, Australia, pp. 1-8.
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The ability to track moving people is a key aspect of autonomous robot systems in real-world environments. Whilst for many tasks knowing the approximate positions of people may be sufficient, the ability to identify unique people is needed to accurately count people in the real world. To accomplish the people counting task, a robust system for people detection, tracking and identification is needed. This paper presents our approach for robust real world people detection, tracking and counting using a PrimeSense RGBD camera. Our past research, upon which we built, is highlighted and novel methods to solve the problems of sensor self-localisation, false negatives due to persons physically interacting with the environment, and track misassociation due to crowdedness are presented. An empirical evaluation of our approach in a major Sydney public train station (N=420) was conducted, and results demonstrating our methods in the complexities of this challenging environment are presented.
Kocaoglu, DF, Anderson, TR, Daim, TU, Kozanoglu, DC, Niwa, K & Perman, G 1970, 'Preface', PICMET 2014 - Portland International Center for Management of Engineering and Technology, Proceedings: Infrastructure and Service Integration.
Kolagani, N, Ramu, P, Voinov, AA, Gali, R & Rao, CL 1970, 'Educating stakeholders about the need for water balance using a participatory modeling framework', Proceedings - 7th International Congress on Environmental Modelling and Software: Bold Visions for Environmental Modeling, iEMSs 2014, pp. 1105-1112.
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Groundwater resources in many villages of the developing countries have been undergoing rapid decline over last few decades due to their unsustainable large scale exploitation. One of the main reasons for such overexploitation is the inability of village communities to collectively visualize and understand clearly the long term implications of such overexploitation. There is hence an urgent need to create awareness among stakeholders about the unsustainable nature of such overexploitation and to facilitate sustainable usage. Spatio-temporal participatory modeling of their water management practices can help greatly in promoting such awareness among village communities. These modeling tools can then be used by these stakeholders to analyze various future scenarios and plan their actions in an informed way. In this paper, a participatory modeling framework for carrying out water balance studies at village level is proposed and is demonstrated using case study of a South Indian village. Stakeholders analyzed their past actions and future plans using simulations. Classes needed for simulation and rules for their behaviour, such as what influences the decision of a farmer to sow a crop or to sink a well, were gathered through discussions with knowledgeable stakeholders. An open source Geographical Information System. 'Quantum GIS', extended using Python programming was used as the platform for carrying out and visually presenting these spatio-temporal simulations to the stakeholders.
Kool, R & Trianni, A 1970, 'Introduction to panel 3 matching policies and drivers: Policies and directives to drive industrial efficiency', Eceee Industrial Summer Study Proceedings, pp. 259-260.
Kouretzis, GP, Sheng, DC & Wang, D 1970, 'Numerical Simulation of CPT Cone Penetration in Sand', Applied Mechanics and Materials, Trans Tech Publications, Ltd., pp. 416-421.
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Numerical simulation of cone penetration in sand is performed by means of a computationally efficient critical state model implemented in an explicit-integration finite element code. Its main advantage, compared to other published studies employing simpler soil models such as the Drucker-Prager, is that sand compressibility can be described with a single set of model parameters, irrespective of the stress level and the sand relative density. Calibration of the constitutive model is based on back-analysis of published centrifuge tests results, and consequently the predictions of the numerical methodology are compared against independent tests. Additional analyses are performed for proposing a new simplified formula to correlate the cone penetration resistance with the in situ sand relative density.
Krol, D, Budka, M & Musial, K 1970, 'Simulating the Information Diffusion Process in Complex Networks Using Push and Pull Strategies', 2014 European Network Intelligence Conference, 2014 European Network Intelligence Conference (ENIC), IEEE, Wroclaw, POLAND, pp. 1-8.
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Kunwar, R, Pal, U & Blumenstein, M 1970, 'Semi-supervised Online Bayesian Network Learner for Handwritten Characters Recognition', 2014 22nd International Conference on Pattern Recognition, 2014 22nd International Conference on Pattern Recognition (ICPR), IEEE, Stockholm, Sweden, pp. 3104-3109.
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© 2014 IEEE. This work addresses the problem of creating a Bayesian Network based online semi-supervised handwritten character recognisor, which learns continuously over time to make a adaptable recognisor. The proposed method makes learning possible from a continuous inflow of a potentially unlimited amount of data without the requirement for storage. It highlights the use of unlabelled data for boosting the accuracy, especially when labelled data is scarce and expensive unlike unlabelled data. An algorithm is introduced to perform semi-supervised learning based on the combination of novel online ensemble of the Randomized Bayesian network classifiers and a novel online variant of the Expectation Maximization (EM) algorithm. We make use of a novel varying weighting factor to modulate the contribution of unlabelled data. Proposed method was evaluated using online handwritten Tamil characters from the IWFHR 2006 competition dataset. The accuracy obtained was comparable to the state of the art batch learning methods like HMM and SVMs.
Kutay, C 1970, 'HCI Model for Culturally Useful Knowledge Sharing', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Berlin Heidelberg, pp. 69-78.
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Human Computer-Interaction is expanding its domain of application and in so doing can lose its focus. As well as a variety of methods developed for designing interfaces both for input and output interactions, there is growing concern over the Digital Divide, so accessibility is a key issue. By combining related design model we present the relevant issues for Indigenous users. This covers how we might assist Indigenous people to participate in online knowledge learning communities, and what sort of guidance this provides for the design of such systems. First we look at previous research into encouraging participation, such as analyzing the goals and beliefs driving online behaviour, to which has been added user-competency with different media, and user beliefs, such as their value to the community. © 2014 Springer-Verlag.
Kutay, C 1970, 'One Person's Culture is Another One's Entertainment', Proceedings of the 2014 Conference on Interactive Entertainment, IE2014: Interactive Entertainment 2014, ACM, Australia.
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© 2014 ACM. The work presents a web-based learning system that allows many courses to access and share communities stories, and allows teachers to alter existing scenarios to suit the specific focus of their course. The learning domain is indigenous Graduate Attributes in university curriculum. This knowl- edge sharing system takes a holistic approach to learning through storytelling and acknowledges that resources col- lected for one course are often very useful in many other uni- versity courses. The combination of stories and the cultural themes that are enacted either as scenarios or agent rules, provide an immersive experience of this culture. This forms both an information sharing medium for Aboriginal com- munities and a game for non-Aboriginal people. The gam- ing genre is that or narrative building from community sto- ries, historical scenarios and cultural protocols. At present the features are limited to community authored videos with questions, simple interactions around social protocols and scripted scenarios. This paper looks at how these compo- nent can be used for reective learning through narratives and the need for improved feedback from community, prior to release to students.
Lai, C-Y & Hsieh, M-H 1970, 'The MacWilliams identity for quantum convolutional codes', 2014 IEEE International Symposium on Information Theory, 2014 IEEE International Symposium on Information Theory (ISIT), IEEE, Honolulu, HI, pp. 911-915.
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In this paper, we propose a definition of the dual code of a quantum convolutional code, with or without entanglement assistance. We then derive a MacWilliams identity for quantum convolutional codes. Along the way, we obtain a direct proof of the MacWilliams identity, first found by Gluesing-Luerssen and Schneider, in the setting of classical convolutional codes. © 2014 IEEE.
Lai, C-Y, Hsieh, M-H & Lu, H-F 1970, 'A complete MacWilliams theorem for convolutional codes', 2014 IEEE Information Theory Workshop (ITW 2014), 2014 IEEE Information Theory Workshop (ITW), IEEE, Hobart, TAS, pp. 157-161.
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© 2014 IEEE. In this paper, we prove a MacWilliams identity for the weight adjacency matrices based on the constraint codes of a convolutional code (CC) and its dual. Our result improves upon a recent result by Gluesing-Luerssen and Schneider, where the requirement of a minimal encoder is assumed. We can also establish the MacWilliams identity for the input-parity weight adjacency matrices of a systematic CC and its dual. Most importantly, we show that a type of Hamming weight enumeration functions of all codewords of a CC can be derived from the weight adjacency matrix, which thus provides a connection between these two very different notions of weight enumeration functions in the convolutional code literature. Finally, the relations between various enumeration functions of a CC and its dual are summarized in a diagram. This explains why no MacWilliams identity exists for the free-distance enumerators.
Lan, Z-Z, Yang, Y, Ballas, N, Yu, S-I & Haputmann, A 1970, 'Resource Constrained Multimedia Event Detection', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Conference on Multimedia Modeling, Springer International Publishing, pp. 388-399.
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We present a study comparing the cost and efficiency tradeoffs of multiple features for multimedia event detection. Low-level as well as semantic features are a critical part of contemporary multimedia and computer vision research. Arguably, combinations of multiple feature sets have been a major reason for recent progress in the field, not just as a low dimensional representations of multimedia data, but also as a means to semantically summarize images and videos. However, their efficacy for complex event recognition in unconstrained videos on standardized datasets has not been systematically studied. In this paper, we evaluate the accuracy and contribution of more than 10 multi-modality features, including semantic and low-level video representations, using two newly released NIST TRECVID Multimedia Event Detection (MED) open source datasets, i.e. MEDTEST and KINDREDTEST, which contain more than 1000 hours of videos. Contrasting multiple performance metrics, such as average precision, probability of missed detection and minimum normalized detection cost, we propose a framework to balance the trade-off between accuracy and computational cost. This study provides an empirical foundation for selecting feature sets that are capable of dealing with large-scale data with limited computational resources and are likely to produce superior multimedia event detection accuracy. This framework also applies to other resource limited multimedia analyses such as selecting/fusing multiple classifiers and different representations of each feature set. © 2014 Springer International Publishing.
Lapko, Y, Trucco, P, Trianni, A & Nuur, C 1970, 'Implications for Collaborative Development of Reverse Distribution Network: A System Perspective', ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: INNOVATIVE AND KNOWLEDGE-BASED PRODUCTION MANAGEMENT IN A GLOBAL-LOCAL WORLD, APMS 2014, PT II, IFIP WG 5.7 International Conference on Advances in Production Management Systems (APSM), Springer International Publishing, Ajaccio, FRANCE, pp. 351-357.
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Le, M, Nauck, D, Gabrys, B & Martin, T 1970, 'Sequential Clustering for Event Sequences and Its Impact on Next Process Step Prediction', INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, PT I, 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU), SPRINGER-VERLAG BERLIN, Montpellier, FRANCE, pp. 168-178.
Le, S, Dong, H, Hussain, FK, Hussain, OK, Ma, J, Zhang, Y & IEEE 1970, 'Multicriteria Decision Making with Fuzziness and Criteria Interdependence in Cloud Service Selection', 2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), IEEE International Conference on Fuzzy Systems, IEEE - Institute of Electrical and Electronics Engineers, Beijing, China, pp. 1929-1936.
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Le, TM, Fatahi, B & Khabbaz, H 1970, 'Numerical solution to predict visco-plastic model parameters of soft clay during excess pore water pressure dissipation', NUMERICAL METHODS IN GEOTECHNICAL ENGINEERING, VOL 1, European Conference on Numerical Methods in Geotechnical Engineering, Taylor and Francis Group, Delft, the Netherlands, pp. 175-180.
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The elastic visco-plastic model with non-linear creep function may describe the long termbehavior of clayey soils more accurately. However, it is a challenging task to determine the parameters of the non-linear creep function using conventional oedometer data. This paper presents a numerical method to determine several model parameters simultaneously, while adopting consolidation data during excess pore water pressure dissipation by applying an advanced optimization tool embedded in MATLAB. Crank-Nicholson finite difference procedure is adopted to solve the partial differential equations of the consolidation equation in combined with the non-linear elastic visco-plastic model. As a result, the time dependent strain and excess pore water pressure dissipation in one dimensional compression are computed simultaneously. In this paper, a case study is presented to evaluate and validate the proposed method. © 2014 Taylor & Francis Group.
Lee, JJH, Frey, K, Fitch, R & Sukkarieh, S 1970, 'Fast path planning for precision weeding', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, ARAA, Melbourne, Australia.
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Agricultural robots have the potential to reduce herbicide use in agriculture and horticulture through autonomous precision weeding. One of the main challenges is how to efficiently plan paths for a robot arm such that many individual weeds can be processed quickly. This paper considers an abstract weeding task among obstacles and proposes an efficient online path planning algorithm for an industrial manipulator mounted to a mobile robot chassis. The algorithm is based on a multi-query approach, inspired by industrial bin-picking, where a database of high-quality paths is computed offline and paths are then selected and adapted online. We present a preliminary implementation using a 6-DOF arm and report results from simulation experiments designed to evaluate system performance with varying database and obstacle sizes. We also validate the approach using a Universal Robots UR5 manipulator and ROS interface.
Lei, G 1970, 'Multiobjective Optimization Design of Flux Switching Permanent Magnet Machines', IEEE Conference on Electromagnetic Field Computation, Annecy, France.
Lei, G, Zhu, J, Guo, Y & Zou, Y 1970, 'State of art of sequential optimization strategies for the design of electromagnetic devices', 2014 17th International Conference on Electrical Machines and Systems (ICEMS), 2014 17th International Conference on Electrical Machines and Systems (ICEMS), IEEE, Hangzhou, China, pp. 706-709.
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© 2014 IEEE. Different kinds of sequential optimization strategies have been developed and employed for the design optimization of electromagnetic devices and systems in recent years, such as electrical machines and superconducting magnetic energy storage system. Besides the traditional low dimensional and single objective problems, they can be employed for high dimensional and multiobjective design optimization problems. Meanwhile, they can significantly reduce the computation cost of finite element analysis and improve the optimization efficiency. This paper aims to present a state of art of sequential optimization strategies for single and multi-objective electromagnetic optimization problems. Furthermore, a fast sequential sampling method is presented based on the framework of sequential optimization. Future work about sequential optimization and related research topics will be proposed as well.
Li, F, Xu, G & Cao, L 1970, 'Coupled Item-based Matrix Factorization', Proceedings, Part I of the Web Information Systems Engineering - WISE 2014 - 15th International Conference, International Conference on Web Information Systems Engineering, Springer, Thessaloniki, Greece, pp. 1-14.
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The essence of the challenges cold start and sparsity in Recommender Systems(RS) is that the extant techniques, such as Collaborative Filtering (CF) andMatrix Factorization (MF), mainly rely on the user-item rating matrix, whichsometimes is not informative enough for predicting recommendations. To solvethese challenges, the objective item attributes are incorporated ascomplementary information. However, most of the existing methods for inferringthe relationships between items assume that the attributes are 'independentlyand identically distributed (iid)', which does not always hold in reality. Infact, the attributes are more or less coupled with each other by some implicitrelationships. Therefore, in this pa-per we propose an attribute-based coupledsimilarity measure to capture the implicit relationships between items. We thenintegrate the implicit item coupling into MF to form the Coupled Item-basedMatrix Factorization (CIMF) model. Experimental results on two open data setsdemonstrate that CIMF outperforms the benchmark methods.
Li, H, Li, P, Guo, S & Yu, S 1970, 'Byzantine-resilient secure software-defined networks with multiple controllers', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, AUSTRALIA, pp. 695-700.
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Li, J, Fong, S, Zhuang, Y & Khoury, R 1970, 'Hierarchical Classification in Text Mining for Sentiment Analysis', 2014 International Conference on Soft Computing and Machine Intelligence, 2014 International Conference on Soft Computing & Machine Intelligence (ISCMI), IEEE, New Delhi, INDIA, pp. 46-51.
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Li, J, Wu, C, Hao, H & Su, Y 1970, 'Numerical analysis of uniaxial compression and four bending tests of ultra-high preformance reinforced concrete', 6th International Conference on Protection of Structures against Hazards, Tianjin.
Li, JC, Li, Y, Askari, M & Ha, QP 1970, 'Future Intelligent Civil Structures: Challenges and Opportunities', Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), 31st International Symposium on Automation and Robotics in Construction, International Association for Automation and Robotics in Construction (IAARC), Sydney, pp. 72-79.
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An intelligent civil structure offers ultimate protection to its structure, contents and occupants in terms of safety and functionality against undesired dynamic loadings and structural deficiency. In this paper, the concept of the future intelligent civil structure featuring self-adaptive, selfprognostic, self-sensing, self-powering and self-repairing abilities, is proposed. A decade research efforts from Centre for Built Infrastructure Research, University of Technology Sydney, towards the development and concept proof of such intelligent structure is reviewed.
Li, M, Li, J, Ou, Y, Zhang, Y, Luo, D, Bahtia, M & Cao, L 1970, 'Coupled K-nearest centroid classification for non-iid data', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Transactions on Computational Collective Intelligence XV: International Conference on Practical Applications on Agents and Multi-Agent Systems, Springer Verlag, Salamanca, pp. 89-100.
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Most traditional classification methods assume the independence and identical distribution (iid) of objects, attributes and values. However, real world data, such as multi-agent data and behavioral data, usually contains strong couplings among values, attributes and objects, which greatly challenges existing methods and tools. This work targets the coupling similarities from these three perspectives and designs a novel classification method that applies a weighted K-Nearest Centroid to obtain the coupled similarity for non-iid data. From value and attribute perspectives, coupled similarity serves as a metric for nominal objects, which consider not only intra-coupled similarity within an attribute but also inter-coupled similarity between attributes. From the object perspective, we propose a more effective method that measures the centroid object by connecting all related objects. Extensive experiments on UCI and student data sets reveal that the proposed method outperforms classical methods for higher accuracy, especially in imbalanced data.
Li, M, Li, J, Ou, Y, Zhang, Y, Luo, D, Bahtia, M & Cao, L 1970, 'Learning Heterogeneous Coupling Relationships Between Non-IID Terms', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), International Workshop on Agents and Data Mining Interaction, Springer Berlin Heidelberg, Saint Paul, MN, pp. 79-91.
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With the rapid proliferation of social media and online community, a vast amount of text data has been generated. Discovering the insightful value of the text data has increased its importance, a variety of text mining and process algorithms have been created in the recent years such as classification, clustering, similarity comparison. Most previous research uses a vector-space model for text representation and analysis. However, the vector-space model does not utilise the information about the relationships between the term to term. Moreover, the classic classification methods also ignore the relationships between each text document to another. In other word, the traditional text mining techniques assume the relation between terms and between documents are independent and identically distributed (iid). In this paper, we will introduce a novel term representation by involving the coupled relations from term to term. This coupled representation provides much richer information that enables us to create a coupled similarity metric for measuring document similarity, and a coupled document similarity based K-Nearest centroid classifier will be applied to the classification task. Experiments verify the proposed approach outperforming the classic vector-space based classifier, and show potential advantages and richness in exploring the other text mining tasks. © 2014 Springer-Verlag.
Li, X, Zhang, L, Luo, P, Chen, E, Xu, G, Zong, Y & Guan, C 1970, 'Mining user tasks from print logs', 2014 International Joint Conference on Neural Networks (IJCNN), 2014 International Joint Conference on Neural Networks (IJCNN), IEEE, Beijing, China, pp. 1250-1257.
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© 2014 IEEE. With lots of applications emerging in World Wide Web, many interaction data from users are collected and exploited to discover user behavior or interest patterns. In this paper, we attempt to exploit a new interaction data, namely print logs, where each record is printing URLs selected by a user using a popular web printing tool. Users usually print web contents based on an intention (subtask or task). Apparently, mining common print tasks from print logs is able to capture users' intentions, which undoubtedly benefits many web applications, such as task oriented recommendation and behavior targeting. However, it is not an easy job to perform this due to the difficulty of URL topic representation and task formulation. To this end, we propose a general framework, named UPT (Users Print Tasks mining framework), for mining print tasks from print logs. Specifically, we attempt to leverage delicious (a social book marking web service) as an external thesaurus to expand the expression of each URL by selecting tags associated with the domain of each URL. Then, we construct a tag co-occurrence graph where similar tags can be clustered as subtasks. If we view each subtask as an item, then the print log is transformed to a transaction database, on which an efficient pattern mining algorithm is proposed to induce tasks. Finally, we evaluate the effectiveness of the proposed framework through experiments on a real print log.
Li, Y & Li, J 1970, 'Base isolator with variable stiffness and damping: design, experimental testing and modelling', Proceedings of the 23rd Australasian Conference on the Mechanics of Structures and Materials, Australasian Conference on the Mechanics of Structures and Materials, Southern Cross University, Byron Bay, Australia, pp. 913-918.
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Vulnerability in base isolation system of civil structures originated from passive nature of the rubber material raises the urgency of developing smart base isolation system with adaptive and controllable properties, i.e. variable stiffness and damping. To address this issue, this paper presents comprehensive investigations on a novel adaptive base isolator, including design, experimental testing and dynamic modelling. Smart rubber with field-dependent modulus and damping property is incorporated into the laminated base isolator design. Experimental testing is conducted utilising an advanced shake table facility to examine its performance under cycling loading. Results show that the adaptive base isolator possesses a stiffness increase of more than 16 times and damping ratio between 10% and 27%. With such features, it can be developed into a smart base isolation system to protect civil structures against any type of earthquake. Results also show that this device has high nonlinear hysteresis, i.e. shear stiffening behaviour. A mechanical model is thus required to describe the complex behaviour of new adaptive base isolator. A new strain stiffening element is proposed for this purpose. Comparison between the model and the experimental data verifies the fidelity and effectiveness of the proposed model.
Li, Y, Li, J & ASME 1970, 'DEVELOPMENT AND MODELING OF A HIGHLY-ADJUSTABLE BASE ISOLATOR UTILIZING MAGNETORHEOLOGICAL ELASTOMER', PROCEEDINGS OF THE ASME CONFERENCE ON SMART MATERIALS, ADAPTIVE STRUCTURES, AND INTELLIGENT SYSTEMS - 2013, VOL 1, Conference on Smart Materials, Adaptive Structures and Intelligent Systems, ASME, Snowbird, Utah, USA, pp. 1-8.
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This paper presents a recent research breakthrough on the development of a novel adaptive seismic isolation system as the quest for seismic protection for civil structures, utilizing the field-dependent property of the magnetorheological elastomer (MRE). A highly-adjustable MRE base isolator was developed as the key element to form smart seismic isolation system. The novel isolator contains unique laminated structure of steel and MRE layers, which enable its large-scale civil engineering applications, and a solenoid to provide sufficient and uniform magnetic field for energizing the field-dependent property of MR elastomers. With the controllable shear modulus/damping of the MR elastomer, the developed adaptive base isolator possesses a controllable lateral stiffness while maintaining adequate vertical loading capacity. Experimental results show that the prototypical MRE base isolator provides amazing increase of lateral stiffness up to1630%. Such range of increase of the controllable stiffness of the base isolator makes it highly practical for developing new adaptive base isolation system utilizing either semi-active or smart passive controls. To facilitate the structural control development using the adaptive MRE base isolator, an analytical model was developed to stimulate its behaviors. Comparison between the analytical model and experimental data proves the effectiveness of such model in reproducing the behavior of MRE base isolator, including the observed strain stiffening effect. Copyright © 2013 by ASME.
Li, Y, Tan, T, Sui, Y & Xue, J 1970, 'Self-inferencing Reflection Resolution for Java', ECOOP 2014 - OBJECT-ORIENTED PROGRAMMING, 28th European Conference on Object-Oriented Programming (ECOOP), Springer Berlin Heidelberg, Uppsala, SWEDEN, pp. 27-53.
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Liang, B & Zheng, L 1970, '3D Motion Trail Model Based Pyramid Histograms of Oriented Gradient for Action Recognition', 2014 22nd International Conference on Pattern Recognition, 2014 22nd International Conference on Pattern Recognition (ICPR), IEEE, Swedish Soc Automated Image Anal, Stockholm, SWEDEN, pp. 1952-1957.
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Lin Gu, Deze Zeng, Song Guo & Shui Yu 1970, 'Type-aware task placement in geo-distributed data centers with low OPEX using data center resizing', 2014 International Conference on Computing, Networking and Communications (ICNC), 2014 International Conference on Computing, Networking and Communications (ICNC), IEEE, Honolulu, HI, pp. 211-215.
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Lin, C-T, Chen, S-A, Wang, Y-K & Lu, S-W 1970, 'Develop a multiple physiological system of ICU patients with symptom analysis and decision making', 2014 IEEE International Conference on Consumer Electronics - Taiwan, 2014 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW), IEEE, pp. 163-164.
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© 2014 IEEE. This study presents a real-time, and auto-alarm intelligent system of healthcare for ICU patients. The current version of the expert system can detect EEG and ECG to identify different types of abnormal cardiac rhythms in real-time and identify patients' acute stress. The proposed system also activates an emergency medical alarm system when problems occur.
Lin, S, Tian, H, Ni, W & Liu, R 1970, 'Broker based bipartite matching game for resource management in femtocell networks', 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), IEEE, Sydney, NSW, Australia, pp. 579-583.
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© 2014 National Institute of Information and Communicatio. Femtocells have great potential to enhance home cellular access and improve macrocell network efficiency by offload local traffic. However, dense deployment imposes critical challenges to resource management (i.e., interference mitigation and sub-channels allocation).In this paper, to formulate this resource management of femtocell, we propose broker based many-to-many bipartite matching game and develop a new distributed solution to the game. The key idea of our solution is that we propose clustering strategy to decompose the many-to-many matching game into several parallel cluster-based many-to-one matching sub-games. Then, for each sub-problem, we develop a cluster based fairness guaranteed matching algorithm (CFGM), which is able to guarantee intra-cluster fairness. Simulation results show that CFGM outperforms its counterparts, which guaranteeing statistical fairness.
Ling, SH, San, PP, Lam, HK, Nguyen, HT & IEEE 1970, 'Non-invasive Detection of Hypoglycemic Episodes in Type1 Diabetes Using Intelligent Hybrid Rough Neural System', 2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), IEEE Congress on Evolutionary Computation, IEEE, Beijing, PEOPLES R CHINA, pp. 1238-1242.
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© 2014 IEEE. Insulin-dependent diabetes mellitus is classified as Type 1 diabetes and it can be further classified as immunemediated or idiopathic. Through the analysis of electrocar-diographic (ECG) signals of 15 children with T1DM, an effective hypoglycemia detection system, hybrid rough set based neural network (RNN) is developed by the use of physiological parameters of ECG signal. In order to detect the status of hypoglycemia, the feature of ECG of type 1 diabetics are extracted and classified according to corresponding glucose levels. In this technique, the applied physiological inputs are partitioned into predicted (certain) or random (uncertain) parts using defined lower and boundary of rough regions. In this way, the neural network is designed to deal only with the boundary region which mainly consists of a random part of applied input signal causing inaccurate modeling of the data set. A global training algorithm, hybrid particle swarm optimization with wavelet mutation (HPSOWM) is introduced for parameter optimization of proposed RNN. The experiment is carried out using real data collected at Department of Health, Government of Western Australia. It indicated that the proposed hybrid architecture is efficient for hypoglycemia detection by achieving better sensitivity and specificity with less number of design parameters.
Linh Lan Nguyen, Su, S & Nguyen, HT 1970, 'Neural network approach for non-invasive detection of hyperglycemia using electrocardiographic signals', 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Chicago, IL, pp. 4475-4478.
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Hyperglycemia or high blood glucose (sugar) level is a common dangerous complication among patients with Type 1 diabetes mellitus (T1DM). Hyperglycemia can cause serious health problems if left untreated such as heart disease, stroke, vision and nerve problems. Based on the electrocardiographic (ECG) parameters, we have identified hyperglycemic and normoglycemic states in T1DM patients. In this study, a classification unit is introduced with the approach of feed forward multi-layer neural network to detect the presences of hyperglycemic/normoglycemic episodes using ECG parameters as inputs. A practical experiment using the real T1DM patients' data sets collected from Department of Health, Government of Western Australia is studied. Experimental results show that proposed ECG parameters contributed significantly to the good performance of hyperglycemia detections in term of sensitivity, specificity and geometric mean (70.59%, 65.38%, and 67.94%, respectively). From these results, it is proved that hyperglycemic events in T1DM can be detected non-invasively and effectively by using ECG signals and ANN approach.
Liu, A, Zhang, G & Lu, J 1970, 'Concept Drift Detection Based on Anomaly Analysis', 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, Kuching, Sarawak, Malaysia, pp. 263-270.
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© Springer International Publishing Switzerland 2014. In online machine learning, the ability to adapt to new concept quickly is highly desired. In this paper, we propose a novel concept drift detection method, which is called Anomaly Analysis Drift Detection (AADD), to improve the performance of machine learning algorithms under non-stationary environment. The proposed AADD method is based on an anomaly analysis of learner’s accuracy associate with the similarity between learners’ training domain and test data. This method first identifies whether there are conflicts between current concept and new coming data. Then the learner will incrementally learn the non conflict data, which will not decrease the accuracy of the learner on previous trained data, for concept extension. Otherwise, a new learner will be created based on the new data. Experiments illustrate that this AADD method can detect new concept quickly and learn extensional drift incrementally.
LIU, A, ZHANG, G & LU, JIE 1970, 'A NOVEL WEIGHTING METHOD FOR ONLINE ENSEMBLE LEARNING WITH THE PRESENCE OF CONCEPT DRIFT', Decision Making and Soft Computing, The 11th International FLINS Conference (FLINS 2014), WORLD SCIENTIFIC, Brazil, pp. 550-555.
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Ensemble of classifiers is a very popular method for online and incremental learning in non-stationary environment, as it improves the accuracy of single classifiers and is able to recover from drifting concept without explicit drift detection. However, current ensemble weighing methods do not consider the relationship between a test instance and each ensemble member's training domain. As a result, a locally correct ensemble member may be reduced weight unfairly because that its prediction result of an out of domain test instance is wrong. These inaccuracies will increases when there is a significant concept change. In this paper, therefore, we proposed a fuzzy online ensemble weighting method which takes the consideration of the degree of membership of each instance in each ensemble member and a modified majority voting method to improve the ability of ensembles on handling online classification tasks with concept drift
Liu, C, Cao, L & Yu, PS 1970, 'A hybrid coupled k-nearest neighbor algorithm on imbalance data', 2014 International Joint Conference on Neural Networks (IJCNN), 2014 International Joint Conference on Neural Networks (IJCNN), IEEE, Beijing, China, pp. 2011-2018.
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© 2014 IEEE. The state-of-the-art classification algorithms rarely consider the relationship between the attributes in the data sets and assume the attributes are independently to each other (IID). However, in real-world data, these attributes are more or less interacted via explicit or implicit relationships. Although the classifiers for class-balanced data are relatively well developed, the classification of class-imbalanced data is not straightforward, especially for mixed type data which has both categorical and numerical features. Limited research has been conducted on the class-imbalanced data. Some algorithms mainly synthesize or remove instances to force the sizes of each class comparable, which may change the inherent data structure or introduces noise to the source data. While for the distance or similarity based algorithms, they ignored the relationship between features when computing the similarity. This paper proposes a hybrid coupled k-nearest neighbor classification algorithm (HC-kNN) for mixed type data, by doing discretization on numerical features to adapt the inter coupling similarity as we do on categorical features, then combing this coupled similarity to the original similarity or distance, to overcome the shortcoming of the previous algorithms. The experiment results demonstrate that our proposed algorithm can get a higher average performance than that of the relevant algorithms (e.g. the variants of kNN, Decision Tree, SMOTE and NaiveBayes).
Liu, C, Cao, L & Yu, PS 1970, 'Coupled fuzzy k-nearest neighbors classification of imbalanced non-IID categorical data', 2014 International Joint Conference on Neural Networks (IJCNN), 2014 International Joint Conference on Neural Networks (IJCNN), IEEE, Beijing, China, pp. 1122-1129.
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© 2014 IEEE. Mining imbalanced data has recently received increasing attention due to its challenge and wide applications in the real world. Most of the existing work focuses on numerical data by manipulating the data structure which essentially changes the data characteristics or developing new distance or similarity measures which are designed for data with the so-called IID assumption, namely data is independent and identically distributed. This is not consistent with the real-life data and business needs, which request to fully respect the data structure and coupling relationships embedded in data objects, features and feature values. In this paper, we propose a novel coupled fuzzy similarity-based classification approach to cater for the difference between classes by a fuzzy membership and the couplings by coupled object similarity, and incorporate them into the most popular classifier: kNN to form a coupled fuzzy kNN (ie. CF-kNN). We test the approach on 14 categorical data sets compared to several kNN variants and classic classifiers including C4.5 and NaiveBayes. The experimental results show that CF-kNN outperforms the baselines, and those classifiers incorporated with the proposed coupled fuzzy similarity perform better than their original editions.
Liu, C, Lam, HK, Zhang, X, Li, H, Ling, SH & IEEE 1970, 'Relaxed Stability Conditions Based on Taylor Series Membership Functions for Polynomial Fuzzy-Model-Based Control Systems', 2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), IEEE International Conference on Fuzzy Systems, IEEE, Beijing, PEOPLES R CHINA, pp. 2111-2118.
Liu, C, Zhu, J, Wang, Y, Lei, G, Guo, Y & Liu, X 1970, 'A low-cost permanent magnet synchorous motor with SMC and ferrite PM', 2014 17th International Conference on Electrical Machines and Systems (ICEMS), 2014 17th International Conference on Electrical Machines and Systems (ICEMS), IEEE, Hangzhou, PEOPLES R CHINA, pp. 397-400.
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© 2014 IEEE. This paper proposes a low-cost permanent magnet synchronous motor (PMSM) with soft magnetic composite (SMC) and ferrite permanent magnet (PM) for home applications. The main novelty of this proposed motor is that it combines two relatively cheap magnetic materials in an axial flux switching permanent magnet motor (AFSPMM). By using the ferrite PM and SMC material, the material cost and manufacture cost of AFSPMM can be reduced greatly. A 675 W 3600 rpm AFSPMM is designed and analyzed in this paper. The commercial finite element method (FEM) package ANSOFT is used to analyze the motor performance and the d-axis current is set to zero to achieve the optimum torque characteristic.
Liu, C, Zhu, J, Wang, Y, Lei, G, Guo, Y & Liu, X 1970, 'A novel claw pole permanent magnet motor with SMC and ferrite PM', 2014 17th International Conference on Electrical Machines and Systems (ICEMS), 2014 17th International Conference on Electrical Machines and Systems (ICEMS), IEEE, Hangzhou, PEOPLES R CHINA, pp. 430-434.
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© 2014 IEEE. This paper proposes a novel low-cost claw pole permanent magnet motor with soft magnetic composite (SMC) core and ferrite permanent magnet (PM). Since the ferrite PM is much cheaper than the rare earth PMs, the material cost of this motor can be reduced greatly. And the special spoke type rotor can make the ferrite PM produce very high air gap flux density in this motor. By using the SMC material, the claw pole stator and rotor core can be manufactured very easily. A 675 W 1.8 Nm claw pole motor is designed to replace the conventional permanent magnet synchronous motor (PMSM) in a refrigerator compressor. The finite element method (FEM) package ANSOFT and simplified magnetic network method are used to calculate the electromagnetic parameters of this motor. And the equivalent electric circuit is developed to predict the motor performance.
Liu, DK, Dissanayake, G, Valls Miro, J & Waldron, KJ 1970, 'Infrastructure Robotics: Research Challenges and Opportunities', Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), 31st International Symposium on Automation and Robotics in Construction, International Association for Automation and Robotics in Construction (IAARC), Sydney, Australia, pp. 43-49.
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Infrastructure robotics is about research on and development of methodologies that enable robotic systems to be used in civil infrastructure inspection, maintenance and rehabilitation. This paper briefly discusses the current research challenges and opportunities in infrastructure robotics, and presents a review of the research activities and projects in this field at the Centre for Autonomous Systems, University of Technology Sydney.
Liu, L, Chen, S, Hsu, CH, Xu, G, Zhang, X, Li, L, Su, G, Liu, M, Huang, Z, Zhu, T, Jin, J, Carlson, D, Chen, W, Wang, B, An, N & Yang, Y 1970, 'Message from the PUDA 2014 Workshop Chairs', 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 IEEE 11th Intl Conf on Autonomic and Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops, 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence & Computing and 2014 IEEE 11th Intl Conf on Autonomic & Trusted Computing and 2014 IEEE 14th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), IEEE, p. xxxvii.
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Liu, M, Dou, W, Yu, S & Zhang, Z 1970, 'A clusterized firewall framework for cloud computing', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, AUSTRALIA, pp. 3788-3793.
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Liu, N, Li, L, Xu, G & Yang, Z 1970, 'Identifying domain-dependent influential microblog users: A post-feature based approach', Proceedings of the National Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Press, Quebec, Canada, pp. 3122-3123.
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Users of a social network like to follow the posts published by influential users. Such posts usually are delivered quickly and thus will produce a strong influence on public opinions. In this paper, we focus on the problem of identifying domain- dependent influential users(or topic experts). Some of traditional approaches are based on the post contents of users users to identify influential users, which may be biased by spammers who try to make posts related to some topics through a simple copy and paste. Others make use of user authentication information given by a service platform or user self description (introduction or label) in finding influential users. However, what users have published is not necessarily related to what they have registed and described. In addition, if there is no comments from other users, its less objective to assess a users post quality. To improve effectiveness of recognizing influential users in a topic of microblogs, we propose a post-feature based approach which is supplementary to post- content based approaches. Our experimental results show that the post-feature based approach produces relatively higher precision than that of the content based approach.
Liu, P, Zhou, JT, Tsang, IW-H, Meng, Z, Han, S & Tong, Y 1970, 'Feature Disentangling Machine - A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), European Conference on Computer Vision, Springer International Publishing, Zurich, Switzerland, pp. 151-166.
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Studies in psychology show that not all facial regions are of importance in recognizing facial expressions and different facial regions make different contributions in various facial expressions. Motivated by this, a novel framework, named Feature Disentangling Machine (FDM), is proposed to effectively select active features characterizing facial expressions. More importantly, the FDM aims to disentangle these selected features into non-overlapped groups, in particular, common features that are shared across different expressions and expression-specific features that are discriminative only for a target expression. Specifically, the FDM integrates sparse support vector machine and multi-task learning in a unified framework, where a novel loss function and a set of constraints are formulated to precisely control the sparsity and naturally disentangle active features. Extensive experiments on two well-known facial expression databases have demonstrated that the FDM outperforms the state-of-the-art methods for facial expression analysis. More importantly, the FDM achieves an impressive performance in a cross-database validation, which demonstrates the generalization capability of the selected features. © 2014 Springer International Publishing.
Liu, W, Sarda, A, Chen, F & Geers, G 1970, 'Forecasting changes of traffic flow caused by road incidents', 21st World Congress on Intelligent Transport Systems, ITSWC 2014: Reinventing Transportation in Our Connected World.
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This paper explores the potential for supervised machine learning techniques in forecasting changes of traffic flow caused by road incidents based on incident features. Data fusion approaches are carried out on a high quality SCATS dataset measuring traffic flow of a major Australian city, and on an incident log data set encompassing a time period of 4 months' road incidents. Based on incident features, a range of both prevalent and advanced machine learning algorithms are applied to these data, and the accuracies of the algorithms are evaluated. We then examine the effectiveness of such models in categorizing changes of traffic flow as either trivial or non-trivial in the extent of their responses to incidents. The models are promising in their capacity and are able to correctly predict with more than 70% accuracy that a change of traffic flow shall be major. This has significant implications for determining the optimal allocation of resources for both road traffic control and incident response units.
Liu, W, Xue, H, Gu, Y, Yang, J, Wu, Q & Jia, Z 1970, 'Shape Preserving RGB-D Depth Map Restoration', Proceedings, Part III 21st International Conference, ICONIP 2014., International Conference on Neural Information Processing, Springer International Publishing, Kuching, Malaysia, pp. 150-158.
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The RGB-D cameras have enjoined a great popularity these years. However, the quality of the depth maps obtained by such cameras is far from perfect. In this paper, we propose a framework for shape preserving depth map restoration for RGB-D cameras. The quality of the depth map is improved from three aspects: 1) the proposed region adaptive bilateral filter (RA-BF) smooths the depth noise across the depth map adaptively, 2) by associating the color information with the depth information, incorrect depth values are adjusted properly, 3) a selective joint bilateral filter (SJBF) is proposed to successfully fill in the holes caused by low quality depth sensing. Encouraging performance is obtained through our experiments.
Liu, X, Wang, L, Zhang, J & Yin, J 1970, 'Sample-adaptive multiple kernel learning', Proceedings of the National Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Publication, Québec, Canada, pp. 1975-1981.
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Existing multiple kernel learning (MKL) algorithms indiscriminately apply a same set of kernel combination weights to all samples. However, the utility of base kernels could vary across samples and a base kernel useful for one sample could become noisy for another. In this case, rigidly applying a same set of kernel combination weights could adversely affect the learning performance. To improve this situation, we propose a sample-adaptive MKL algorithm, in which base kernels are allowed to be adaptively switched on/off with respect to each sample. We achieve this goal by assigning a latent binary variable to each base kernel when it is applied to a sample. The kernel combination weights and the iatent variables are jointly optimized via margin maximization principle. As demonstrated on five benchmark data sets, the proposed algorithm consistently outperforms the comparable ones in the literature.
Liu, X, Wang, Y, Islam, MR, Lei, G, Liu, C & Zhu, J 1970, 'Comparison of electromagnetic performances of amorphous and nanocrystalline core-based high frequency transformers', 2014 17th International Conference on Electrical Machines and Systems (ICEMS), 2014 17th International Conference on Electrical Machines and Systems (ICEMS), IEEE, Hangzhou, China, pp. 2028-2032.
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© 2014 IEEE. Amorphous and nanocrystalline alloys show attractive magnetic properties, and can be the excellent choice to develop the cores of high-frequency high-power transformers used in high-power density renewable power generation systems. However, the electromagnetic design of high-frequency power transformers is a multi-physics problem and thereby affects the system efficiency and cost. In this paper, four high frequency transformers are optimally designed with amorphous and nanocrystalline alloy-based cores and electromagnetic performances are evaluated by finite element method. The results are analyzed and found their huge potentiality for future smart grid applications.
Liu, Y-T, Lin, Y-Y, Wu, S-L, Chuang, C-H, Prasad, M & Lin, C-T 1970, 'EEG-based driving fatigue prediction system using functional-link-based fuzzy neural network', 2014 International Joint Conference on Neural Networks (IJCNN), 2014 International Joint Conference on Neural Networks (IJCNN), IEEE, Beijing, PEOPLES R CHINA, pp. 4109-4113.
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This study presents a fuzzy prediction system for the forecasting and estimation of driving fatigue, which utilizes a functional-link-based fuzzy neural network (FLFNN) to predict the drowsiness (DS) level in car driving task. The cognitive state in car driving task is one of key issue in cognitive neuroscience because fatigue driving usually causes enormous losses nowadays. The damage can be extremely decreased by the assistant of various artificial systems. Many Electroencephalography (EEG)-based interfaces have been widely developed recently due to its convenient measurement and real-time response. However, the improvement of recognition accuracy is still confined to some specific problems (e.g., individual difference). In order to solve this issue, the proposed methodology in this paper utilizes a nonlinear fuzzy neural network structure to increase the adaptability in the real-world environment. Therefore, this study is further to analysis the brain activities in car driving, which is constructed in a simulated three-dimensional virtual-reality (VR) environment. Finally, through the development of brain cognitive model in car driving task, this system can predict the cognitive state effectively before drivers' action and then provide correct feedback to users. This study also compared the result with the-state-of-art systems, including Linear Regression (LR), Multi-Layer Perceptron Neural Network (MLPNN) and Support Vector Regression (SVR). Results of this study demonstrate the effectiveness of the proposed FLFNN model.
Lloret-Cabot, M & Sheng, D 1970, 'Incremental stress-strain and suction-degree of saturation formulation in unsaturated soils', UNSATURATED SOILS: RESEARCH & APPLICATIONS, VOLS 1 AND 2, 6th International Conference on Unsaturated Soils (UNSAT), CRC Press, Sydney, AUSTRALIA, pp. 397-403.
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Lobocki, T & Brown, TA 1970, 'Root cause and fatigue analysis of traction winch failures', 8th Australasian Congress on Applied Mechanics, ACAM 2014, as Part of Engineers Australia Convention 2014, Australasian Congress on Applied Mechanics, Informit, Barton, ACT, pp. 540-548.
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This paper describes the investigation, analysis and proposed solutions to the problem of a regularly failing traction winch that resulted in significant and unacceptable downtime of crucial production machines. The winch's wire ropes fail on average about once a month. The reliability of the machine investigated is critical to the success of the business. A Root Cause Analysis (RCA) of the failing machine was conducted which identified the physical, human and latent root causes of the traction winch failures. The average number of cycles to failure for the wire ropes was only 1088 cycles (equating to approximately 24 days of service). Physical root causes were identified through theoretical fatigue analysis and visual inspection and scanning electron microscopy (SEM) to examine the fracture surface of the failed wire ropes. The analysis indicated that there were extensive bending fatigue cracks leading to total rope failure. It was concluded that the leading physical root cause of the premature failure of the traction winch was the bending fatigue failure in the wire rope caused by the specification of an undersized sheave and drum in the traction winch design.
Luo, L, Jiang, ZY, Wei, DB & He, XF 1970, 'Surface Modification of Titanium and its Alloys for Biomedical Application', Advanced Materials Research, International Conference on Advances in Manufacturing and Materials Engineering, Trans Tech Publications, Ltd., Kunming, PEOPLES R CHINA, pp. 1115-1120.
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Titanium and its alloys have excellent properties and are promising biomaterial in medical engineering field. A bioactive surface on a Ti substrate is a prerequisite for great performance and long service life of implants. Based on the mechanism for inducing cell/tissue responses, three kinds of methods, namely morphological, physicochemical and biochemical methods, are reviewed in this paper. Hybrid methods that integrate individual methods or have additional functions are also discussed.
Ma, Z, Yang, Y, Sebe, N & Hauptmann, AG 1970, 'Multiple Features But Few Labels?', Proceedings of the 22nd ACM international conference on Multimedia, MM '14: 2014 ACM Multimedia Conference, ACM, Orlando, FL, USA.
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Mahmud, MA, Hossain, MJ & Pota, HR 1970, 'Dynamical modeling and nonlinear control of superconducting magnetic energy systems: Applications in power systems', 2014 Australasian Universities Power Engineering Conference (AUPEC), 2014 Australasian Universities Power Engineering Conference (AUPEC), IEEE.
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This paper presents a new dynamical model of superconducting magnetic energy storage systems (SMESs). The dynamical model is developed based on the equivalent circuit diagram of an SMES which is connected to the power grid through a converter. The switching actions of the converter are also considered within the proposed model. The power balance at the input and output of the converter is taken into account in order to complete the model. The proposed model is suitable for the implementation of model-based control techniques which cannot be done with instantaneous models. The model is transformed into dq-frame in order to facilitate the implementation of model-based control techniques. Finally, the usefulness of the proposed model is discussed and a nonlinear feedback linearizing controller is designed to regulate the current injection into the power grid.
Mahmud, MA, Hossain, MJ, Pota, HR & Roy, NK 1970, 'Nonlinear Controller Design for Vehicle-to-Grid (V2G) Systems to Enhance Power Quality and Power System Stability', IFAC Proceedings Volumes, Elsevier BV, pp. 7659-7664.
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© IFAC. A nonlinear controller design technique, for the enhancement of power quality and power system stability in a vehicle-to-grid (V2G) system, is proposed in this paper. The dynamical model of a V2G system is first developed and then the controller is designed based on the partial feedback linearization of the developed model. The control scheme is developed in such a way that converters in V2G systems are capable of injecting both active and reactive power into the grid. The implementation of the proposed controller requires the stabilization of internal dynamics of V2G systems as it transforms the system into a partly linear and an autonomous system with internal dynamics. The stability of internal dynamics of V2G systems is also discussed in this paper. Finally, the performance of the proposed control scheme is evaluated on a simple test system in terms of power quality and system stability enhancement. From the simulation result it is found that the designed nonlinear controller provides excellence performance in improving power quality and stability of whole system.
Mahmud, MA, Hossain, MJ, Pota, HR & Roy, NK 1970, 'Nonlinear distributed controller design for maintaining power balance in Islanded microgrids', 2014 IEEE PES General Meeting | Conference & Exposition, 2014 IEEE Power & Energy Society General Meeting, IEEE.
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This paper presents a nonlinear distributed controller design for islanded operation of microgrids in order to maintain active and reactive power balance. In this paper, the microgrids are considered as inverter-dominated networks integrated with renewable energy sources (RESs) and battery energy storage systems (BESSs) where solar photovoltaic (PV) generators act as RESs and plug-in hybrid electric vehicles (PHEVs) as BESSs to supply power into the grid. The detail dynamic models of PV generators and BESSs are also developed in this paper. The proposed distributed control scheme gathers information from local and neighboring generators to achieve the desired control objectives. The proposed controller is designed by using feedback linearization and the communication between generators and control centers is developed by using the concept of graph theory. Finally the performance of the proposed controller is demonstrated on a test microgrid and simulation results indicate the superiority under different operating conditions as compared to a linear quadratic regulator (LQR)-based controller.
Mahmud, MA, Hossain, MJ, Pota, HR & Roy, NK 1970, 'Robust nonlinear excitation controller design for multimachine power systems', 2014 IEEE PES General Meeting | Conference & Exposition, 2014 IEEE Power & Energy Society General Meeting, IEEE.
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This paper presents a robust nonlinear excitation controller design for synchronous generators in a multimachine power system to enhance the transient stability. The mismatches between the original power system model and formulated mathematical model are considered as uncertainties and modeled through the satisfaction of matching conditions. To design the controller, the partial feedback linearization is used which transforms the original multimachine power system model into several reduced-order linear subsystems and autonomous subsystems. The control law can be obtained for each subsystem and the proposed scheme can be implemented in a decentralized manner provided that the dynamics of the autonomous subsystem are stable. Finally, the performance of the proposed control scheme is evaluated on a 3 machine 11 bus power system following a large disturbance. The results are then compared with those obtained from a partial feedback linearizing controller with no robustness properties.
Mahmud, MA, Hossain, MJ, Pota, HR & Zhang, C 1970, 'Investigation of Critical Factors Affecting Dynamic Stability of Wind Generation Systems with Permanent Magnet Synchronous Generators', IFAC Proceedings Volumes, Elsevier BV, pp. 7665-7670.
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© IFAC. This paper presents an analysis to investigate the critical factors which affect the dynamic stability of wind energy conversion systems (WECSs) with permanent magnet synchronous generators (PMSGs). In this paper, at first the detail mathematical model of a WECS with a PMSG is developed and then the modal analysis technique is used to identify the critical factors. The sensitivity of these critical factors on the dynamic stability of WECSs with PMSGs, is analyzed in terms of damping ratio with changes in critical factors. The proposed approach is tested on a WECS with single PMSG for different level of wind energy penetration.
Mairiza, D, Zowghi, D & Gervasi, V 1970, 'Utilizing TOPSIS: A Multi Criteria Decision Analysis Technique for Non-Functional Requirements Conflicts', Proceedings of the Communications in Computer and Information Science, Asia Pacific Requirements Engineering Symposium, Springer Berlin Heidelberg, Auckland, New Zealand, pp. 31-44.
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Experience shows that many software systems suffer from inherent conflict among Non-Functional Requirements (NFRs). It also confirms that resolution strategies for handling NFRs conflicts often result in changing overall design guidelines, not by simply changing one module. Therefore, in software system development, software developers need to analyse the NFRs and conflicts among them in order to make decisions about alternative design solutions. This paper presents the use of Multi Criteria Decision Analysis (MCDA) approach for NFRs conflict decision analysis. TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), as one of the essential MCDA techniques has been adopted to resolve such conflict. We show how the systematic application of TOPSIS can assist software developers select the most preferable design solutions with respect to the conflicting NFRs. The quantitative result generated with this technique will be used as the basis for decision support. An example that shows the application of TOPSIS is also presented. © Springer-Verlag Berlin Heidelberg 2014.
Mansor, NS, Shafri, HZM, Mansor, S & Paradhan, B 1970, 'The influence of urban development and social mobility on socioeconomic level: The application of GIS on urban ecosystems', IOP Conference Series: Earth and Environmental Science, IOP Publishing, pp. 012011-012011.
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Mao, M, Lu, J, Zhang, G & Zhang, J 1970, 'Hybridizing Social Filtering for Recommender Systems', FOUNDATIONS OF INTELLIGENT SYSTEMS (ISKE 2013), International Conference on Intelligent Systems and Knowledge Engineering, Springer Berlin Heidelberg, Shenzhen, China, pp. 273-285.
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Users send requests to recommender systems for getting suggested products or services. Collaborative filtering is a popular technique for making such suggestions efficiently, but it suffers from a drawback known as “cold-start” problem. Social filtering may succeed for such users, since it utilize the extra social relations of users. It gives us opportunities to eliminate the limitations by hybridizing social filtering into traditional collaborative filtering. To handle this issue, differing from previous fusion models that only combine the final results, this paper proposed a new neighborhood fusion model to make hybridization at an earlier and deeper stage. Experiment-based comparative analyses are also conducted. The results show that our model is of a higher recommendation quality, on different datasets.
Mao, M, Zhang, G, Lu, J & Zhang, J 1970, 'A Signed Trust-Based Recommender Approach for Personalized Government-to-Business e-Services', Advances in Intelligent Systems and Computing, International Conference on Intelligent Systems and Knowledge Engineering, Springer Berlin Heidelberg, Beijing, China, pp. 91-101.
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Recently recommender systems are introduced into the web-based government applications which expect to provide personalized Government-to-Business (G2B) e-Services. For more personalization, we illustrate a subjective signed trust relationship between users, and based on such trust we proposed a recommendation framework for G2B e-services. A case study is conducted as an example of implementing our approach in e-government applications. Empirical analysis is also conducted to compare our approach with other models, which shows that our approach is of the highest. In conclusion, the signed trust relationship can reflect the real preferences of users, and the proposed recommendation framework is believed to be reliable and applicable. © Springer-Verlag Berlin Heidelberg 2014.
Marchand, JM & Sood, SS 1970, 'Theory Development of How Student Entrepreneurs Think, Learn and Work: Uncovering Deep Insights into the Cognitive Processes of Student Entrepreneur Lived Experiences to Develop a Cue Inventory of Student Entrepreneurship', Australian Centre for Entrepreneurship Research Exchange Conference 2014 Conference Proceedings, Australian Centre for Entrepreneurship Research Exchange Conference (ACERE), Queensland University of Technology, Sydney, pp. 785-800.
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Principal Topic: The concept of the true student entrepreneur is relatively new and attracting societal and academic attention. A paucity of research exists on the cognitive processes student entrepreneurs use to think, learn and work. Student entrepreneurs operate within a challenging environment balancing entrepreneurial work activities and study life. Normally, the archetypal entrepreneur of last century drops out of university. This research explores the student entrepreneur not just as a student attending entrepreneurial classes but conducting business on/near campus or leading a campus enterprise (voluntary association) while simultaneously attending formal university award courses.Methodology: This preliminary study centres on the lived experiences of student entrepreneurs not as most previous studies the intentionality of students to become entrepreneurs. As such,in-depth interviews take place with student entrepreneurs based on the Critical Incident Technique (Flanagan 1954) focusing on storytelling by student entrepreneurs in natural campus settings.Results and Implications: A cue inventory of student entrepreneurship is sourced from the lived experiences of student entrepreneurs and informsthe generation of a cognitive framework.Findings point to the university environment providing leverage to help innovatively solve entrepreneurial problems in real time. Student entrepreneurs are “luck ready” always open for potential opportunities. As a consequence universities interested in fostering true entrepreneurship beyond classroom teaching are able to facilitate and manage various sources of opportunities.
Marjanovic, O 1970, 'Sharing and co-Creation of innovative teaching practices in business analytics - Insights from an action design research project', Proceedings of the 25th Australasian Conference on Information Systems, ACIS 2014.
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This paper focuses on a practice-inspired research challenge of sharing and co-creation of innovative teaching practices in Business Analytics (BA). As confirmed by three international surveys of educators, BA is a very challenging teaching discipline, due to rapidly changing technology, complex data-related challenges, and a disciplinary body of knowledge that is still emerging. However, one of the greatest challenges is a notable absence of well-established teaching practices. The paper describes an action design research project that includes the design and implementation of a wiki-based collaborative environment for sharing of innovative teaching practices as well as the design of a conceptual language that enables these practices to be expressed in a systematic, yet non-prescriptive way. Theoretical underpinning for this work came from the theory of learning designs, a well-known educational taxonomy (the so-called Revised Bloom's taxonomy), instructional design patterns and knowledge management. The paper also identifies some opportunities for further applied research enabled by this evolving knowledge-sharing environment. Marjanovic
Marjanovic, O 1970, 'Using practitioner stories to design learning experiences in visual analytics', 2014 AIS SIGED: IAIM Conference.
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Data visualisation has been recently named as one of the fast approaching future trends in Business Intelligence and Analytics, placing easy-to-use decision-making tools into the hands of decision makers at all organisational levels. There is a worldwide shortage of skilled professionals in this area and this trend is expected to worsen due to the rapid advancement of technology and wide proliferation of data (i.e. big data) into all aspects of our work and life. This paper describes an applied research project that aims to capture and analyse leading real life industry practices in using Visual Analytics (VA) and 'translate' them into innovative learning activities. The main idea here is to enable business students to experience the types of problems that industry practitioners are dealing with and help them to develop skills to tackle these problems, using state of the art VA tools. The resulting learning activities are captured as high-level learning designs (using learning design theory) and stored in an online (open) repository of learning designs, made available to other educators to use and continue to learn from each other.
Marjanovic, O & Rothenhöfer, M 1970, 'Improving Knowledge-Intensive Business Processes Through Social Media.', AMCIS, Association for Information Systems.
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Social media are confirmed to have one of the most transformative impacts of technology on business, within and outside organizational boundaries. This research investigates the impact of social media on knowledge-intensive business processes, in particular process improvement. We aim to make a research and practical contribution to the emerging research on social media in Business Process Management (BPM), currently dominated by conceptual research. The paper describes an empirical case study research, conducted in a large financial services company, in the context of their Recruitment process. While related research argues that social media are best used within the modeling and execution phases of the BP Lifecycle, our research findings indicate a different approach. In the case organization social media are seen as an enabler of process improvement, changing its main objective from process efficiency to customer-focused effectiveness, even prompting the company to consider possible transformation of their organizational structure.
Marjanovic, O, Ariyachandra, T & Dinter, B 1970, 'Introduction to Business Analytics, Business Intelligence, and Big Data Minitrack.', HICSS, 47th Annual Hawaii International Conference on System Sciences, IEEE Computer Society, Waikoloa, HI, pp. 3727-3727.
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Martín, F, Valls Miró, J & Moreno, L 1970, 'Towards Exploiting the Advantages of Colour in Scan Matching', Advances in Intelligent Systems and Computing, Iberian Robotics Conference, Springer International Publishing, Madrid, pp. 217-231.
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© Springer International Publishing Switzerland 2014. Colour plays an important role in the perception systems of the human beings. In robotics, the development of new sensors has made it possible to obtain colour information together with depth information about the environment. The exploitation of this type of information has become more and more important in numerous tasks. In our recent work, we have developed an evolutionary-based scan matching method. The aim of this work is to modify this method by the introduction of colour properties, taking the first steps in studying how to use colour to improve the scan matching. In particular, we have applied a colour transition detection method based on the delta E divergence between neighbours in a scan. Our algorithm has been tested in a real environment and significant conclusions have been reached.
McEwan, MW, Blackler, AL, Johnson, DM & Wyeth, PA 1970, 'Natural mapping and intuitive interaction in videogames', Proceedings of the first ACM SIGCHI annual symposium on Computer-human interaction in play, CHI PLAY '14: The annual symposium on Computer-Human Interaction in Play, ACM.
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Meng, H & Li, S 1970, 'PRICAI 2014: Trends in Artificial Intelligence', PRICAI 2014: Trends in Artificial Intelligence - 13th Pacific Rim International Conference on Artificial Intelligence, Gold Coast, QLD, Australia, December 1-5, 2014. Proceedings, Pacific Rim International Conference on Artificial Intelligence, Springer International Publishing, Gold Coast, AUSTRALIA, pp. 77-90.
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Belief revision mainly concerns how an agent updates her belief with new evidence. The AGM framework of belief revision models belief revision as revising theories by propositions. To characterise AGM-style belief revision operators, Grove proposed in 1988 a representation model using systems of spheres. This ‘spheres’ model is very influential and has been extended to characterise multiple belief revision operators. Several fundamental problems remain unsettled regarding this ‘spheres’ model. In this paper we introduce a topology on the set of all worlds of an infinite propositional language and use this topology to characterise systems of spheres. For each AGM operator ∘, we show that, among all systems of spheres deriving ∘, there is a minimal one which is contained in every other system. We give a topological characterisation of these minimal systems. Furthermore, we propose a method for extending an AGM operator to a multiple revision operator and show by an example that the extension is not unique. This negatively answers an open problem raised by Peppas.
Meng, Q, Tafavogh, S, Kennedy, PJ & IEEE 1970, 'Community Detection on Heterogeneous Networks by Multiple Semantic-Path Clustering', 2014 6TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL ASPECTS OF SOCIAL NETWORKS (CASON), International Conference on Computational Aspects of Social Networks (CASoN), IEEE, Porto, PORTUGAL, pp. 7-12.
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© 2014 IEEE. Heterogeneous networks have become a commonly used model to represent complex and abstract social phenomena. They allow objects to have many different relationships and represent relationships by semantic paths which connect object types via a sequence of relations. A major challenge in community detection on heterogeneous networks is how to organize and combine different semantic paths. In order to acquire desired clustering, we propose a novel community detection method for heterogeneous networks based on matrix decomposition and semantic paths. The major advantage of this method is to treat objects individually and to assign them with different combinations of semantic-path weights so as to improve the clustering quality. The comparative experiments of the proposed method with another two state-of-the-art methods, spectral clustering and path-selection clustering, confirms that it can acquire desired clustering results better.
Meng, X, Cao, L & Shao, J 1970, 'Semantic Approximate Keyword Query Based on Keyword and Query Coupling Relationship Analysis', Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM '14: 2014 ACM Conference on Information and Knowledge Management, ACM, Shanghai, China, pp. 529-538.
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Due to imprecise query intention, Web database users often use a limited number of keywords that are not directly related to their precise query to search information. Semantic approximate keyword query is challenging but helpful for specifying such query intent and providing more relevant answers. By extracting the semantic relationships both between keywords and keyword queries, this paper proposes a new keyword query approach which generates semantic approximate answers by identifying a set of keyword queries from the query history whose semantics are related to the given keyword query. To capture the semantic relationships between keywords, a semantic coupling relationship analysis model is introduced to model both the intra- and inter - keyword couplings. Building on the coupling relationships between keywords, the semantic similarity of different keyword queries is then measured by a semantic matrix. The representative queries in query history are identified and then a priori order of remaining queries corresponding to each representative query in an off-line preprocessing step is created. These representative queries and associated orders are then used to expeditiously generate top-k ranked semantically related keyword queries. We demonstrate that our coupling relationship analysis model can accurately capture the semantic relationships both between keywords and queries. The efficiency of top-k keyword query selection algorithm is also demonstrated.
Merigo, JM & Yang, J-B 1970, 'Bibliometric analysis in financial research', 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), IEEE, London, ENGLAND, pp. 223-230.
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Merigó, JM, Casanovas, M & Xu, Y 1970, 'Fuzzy group decision-making with generalized probabilistic OWA operators', Journal of Intelligent & Fuzzy Systems, IOS Press, pp. 783-792.
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Merigó, JM, Peris-Ortiz, M & Palacios-Marqués, D 1970, 'Entrepreneurial fuzzy group decision-making under complex environments', Journal of Intelligent & Fuzzy Systems, IOS Press, pp. 901-912.
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MERIGÓ, JM, ZHOU, L & YU, D 1970, 'DISTANCE MEASURES WITH PROBABILITIES, OWA OPERATORS AND WEIGHTED AVERAGES', Decision Making and Soft Computing, The 11th International FLINS Conference (FLINS 2014), WORLD SCIENTIFIC, Joao Pessoa, BRAZIL, pp. 324-329.
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Metia, S, Oduro, SD, Ha, QP & Due, H 1970, 'Air pollution prediction using Matérn function based extended fractional Kalman filtering', 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), IEEE, Singapore, pp. 758-763.
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© 2014 IEEE. It is essential to maintain air quality standards and inform people when air pollutant concentrations exceed permissible limits. For example, ground-level ozone, a harmful gas formed by NOx and VOCs emitted from various sources, can be estimated through integration of observation data obtained from measurement sites and effective air-quality models. This paper addresses the problem of predicting air pollution emissions over urban and suburban areas using The Air Pollution Model with Chemical Transport Model (TAPM-CTM) coupled with the Extended Fractional Kaiman Filter (EFKF) based on a Matern covariance function. Here, the ozone concentration is predicted in the airshed of Sydney and surrounding areas, where the length scale parameter I is calculated using station coordinates. For improvement of the air quality prediction, the fractional order of the EFKF is tuned by using a Genetic Algorithm (GA). The proposed methodology is validated at monitoring stations and applied to obtain a spatial distribution of ozone over the region.
Mihăiţă, AS, Camargo, M & Lhoste, P 1970, 'Evaluating the impact of the traffic reconfiguration of a complex urban intersection', 10th International Conference on Modelling, Optimization and Simulation (MOSIM 2014), Nancy, France, 5-7 November 2014.
Mihăiţă, AS, Camargo, M & Lhoste, P 1970, 'Optimization of a complex urban intersection using discrete event simulation and evolutionary algorithms', IFAC Proceedings Volumes, Elsevier BV, pp. 8768-8774.
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Dealing with traffic management for complex crossroads is a challenging problem for traffic control planners. As a contribution to solve this problem, the present paper develops a mesoscopic simulation model for detecting the most suited fire plan for a complex road intersection, using a discrete event simulation tool and an evolutionary algorithm optimization. The modeling goal is to eliminate congestion by choosing an appropriate fire plan which will be adapted to the actual configuration of the intersection, as well as to a future reconfiguration meant to accept a higher inflow of vehicles. The proposed model is applied to a down-town crossroads from Nancy, France. Four different configurations of the input data flow were studied under the proposed simulation-optimization approach, and an optimal fire plan is proposed.
Mingfei Wu & Lu, DDC 1970, 'Adding virtual resistance in source side converters for stabilization of cascaded connected two stage converter systems with constant power loads in DC microgrids', 2014 International Power Electronics Conference (IPEC-Hiroshima 2014 - ECCE ASIA), 2014 International Power Electronics Conference (IPEC-Hiroshima 2014 ECCE-ASIA), IEEE, Hiroshima, Japan, pp. 3553-3556.
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In DC microgrids, the operation of the constant power load (CPL) and its associated input filter is very likely poorly damped if no damping method is applied. Active damping methods can significantly improve the power efficiency comparing with the passive damping methods. This paper proposes an active damping method which builds a virtual resistance in the source side converter, and it can effectively stabilize the DC microgrids with CPLs. The advantage of this active damping method is that the stabilization effect is from the source side converters, and therefore, there is no need to sacrifice the transient performance of the CPL. Simulation and experimental results are reported to verify the effectiveness of the proposed idea. © 2014 IEEE.
Mohammadi, MS, Dutkiewicz, E & Zhang, Q 1970, 'Sampling of Band-Limited Signals with Nonuniform Sampling-Time and Bit-Depth', 2015 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2015 - 2015 IEEE Global Communications Conference, IEEE, San Diego, USA.
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© 2015 IEEE. To reproduce a band-limited continuous-time signal with optimal fidelity, usually it is sampled at the Nyquist sampling rate and then the sample values are quantized. In nonuniform sampling, the total number of samples are reduced in expense of adding some reconstruction complexity and assuming prior information about the signal. In this paper we propose nonuniform sampling-time with nonuniform bit resolution per sample (bit-depth) to reduce the total required bit budget (i.e. the number of samples timed the bit-depth) even further. This idea is based on the fact that the maximum local variation of band-limited signals is bounded in a given time horizon. Therefore, it is not necessary to allocate a fixed bit-depth proportional to the signal's dynamic range to each sample. Instead, we try to allocate adaptively only the needed number of bits to represent the next sample considering the physical characteristics of the signal. Both sampling and reconstruction entities can generate the next sampling-times and bit-depths locally by observing the current and previous samples only. We propose different techniques in our generalized sampling framework that share a common sampling architecture. Here we only consider ECG signals for evaluation purpose. Based on the simulation results, the total number of required bits to reconstruct the signal with negligible distortion can be reduced up to 88% without imposing any form of transform coding compression.
Mohammadi, MS, Zhang, Q & Dutkiewicz, E 1970, 'Channel-adaptive MAC frame length in wireless body area networks', 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), IEEE, Sydney, Australia, pp. 584-588.
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© 2014 National Institute of Information and Communicatio. The nature of wireless channel in a wireless body area network is highly dynamic and hence, any static design is trivially sub-optimal. In this paper we propose a cross-layer channel-adaptive framework to adjust the MAC frame body length of the data packets. We propose two different approaches to incorporate the impact of the time-varying channel gain in the transmission policy aiming to improve the overall energy efficiency of the system. The first approach is based on autoregressive channel prediction and the second scheme is a novel procedure inspired by the well-known slow-start mechanism. Explicitly, in our first scheme the channel gain is predicted and the optimal frame length is selected. In the second method, MAC frame length is sequentially increased after receiving the acknowledgment message or decreased if no acknowledgment is received. Our simulation results show that the proposed schemes can significantly improve energy efficiency in comparison with the case with fixed frame length.
Mohammadi, MS, Zhang, Q, Dutkiewicz, E, Huang, X & Vesilo, R 1970, 'Energy-delay tradeoffs in impulse-based ultra-wideband body area networks with noncoherent receivers', 2014 IEEE Global Communications Conference, GLOBECOM 2014 - 2014 IEEE Global Communications Conference, IEEE, Austin, USA, pp. 4014-4019.
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© 2014 IEEE. In this paper we address the problem of rate scheduling in the Impulse Radio (IR) ultra-wideband (UWB) wireless body area networks (WBANs) and the minimum energy required to stabilize the queuing system. Targeting low complexity WBAN applications, we assume noncoherent receivers based on energy detection and autocorrelation for all nodes. The coordinating node can minimize the average energy consumption of the system and achieve the queue backlog stability of the sensor nodes by controlling the number of pulses per symbol. We first illustrate the necessary and sufficient conditions of network stability for a multi-mode UWB system and then propose a feasible rate scheduling algorithm based on the Lyapunov optimization theory. The scheduling algorithm uses the instantaneous channel state information and the length of the local queue of all sensor nodes and can approach the optimal energy-delay tradeoff of the network. We apply our theoretical framework to the IR-UWB physical layer of the IEEE 802.15.6 standard and extract the optimal physical layer modes that can achieve the desired energy-delay tradeoff.
Mols, I, Hoven, EVD & Eggen, B 1970, 'Making memories', Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational, NordiCHI '14: The 8th Nordic Conference on Human-Computer Interaction, ACM, Helsinki, Finland, pp. 256-265.
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For a long time people have collected mementos; items kept
as reminder of a person, place or event. Practices of
memento creation are constantly changing; for instance
through the accessibility of digital photography. Still, we
most often create mementos of special occasions such as
weddings or holidays. However, besides these milestones,
we cherish certain experiences from our everyday life. This
paper describes a cultural probe study exploring which
memories of everyday life become valuable. Our findings
confirm that seemingly mundane experiences can become
valuable. More specifically, a memory was seen as valuable
if it: was regularly repeated, had social value, continued in
the present, influenced life, was exemplary of character or
showed a contrast. The moment memories become valuable
is difficult to recognize and often few media were created
of everyday life experiences. We discuss the implications of
these findings for
Mondal, RN & Islam, MS 1970, 'Pressure-driven Flow Instability with Convective Heat Transfer Through a Curved Rectangular Duct of Small Aspect Ratio', Procedia Engineering, Elsevier BV, pp. 268-274.
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Moshiri, F, Gardner, AP, Erkmen, E, Jarman, R & Khabbaz, H 1970, 'Enhancing Industry Exposure, Discovery-Based and CooperativeLearning in Mechanics of Solids', Australasian Association for Engineering Education Annual Conference 2014, Australasian Association for Engineering Education Annual Conference 2014, School of Engineering & Advanced Technology, Massey University, Turitea Campus, Palmerston North 4442, Wellington, NZ.
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BACKGROUND Mechanics of Solids is a second year undergraduate subject, undertaken by both Civil and Mechanical engineering students at the University of Technology, Sydney (UTS). Mechanics of Solids has been delivered for many years in a traditional format with lectures and problem solving tutorials. As part of a national Australian project “Enhancing Industry Exposure in Engineering Degrees”, UTS in partnership with other universities and industry partners in Australia has sought industry involvement to engage students with the real-world challenges of engineering practice. PURPOSEThe main objective of this project is to design, develop and implement learning modules in Mechanis of Solids that integrate industry exposure to provide context for the concepts included in this subject. DESIGNThe project consisted of six guest lectures by industry representatives on topics related to typical Mechanics of Solids subject matter and two seminars on using MDSolids software.Students completed a collaborative assignment aligned with one of the industry presentations. Their reports and presentations were assessed on assessment criteria which included contextual understanding, judgement, effective collaboration and creativity, and their perceptions were captured to evaluate the impact of industry engagement in this subject.RESULTSOne of the major benefits of this project was students’ better understanding of engineering practice. There were also positive effects on students’ motivation for learning engineering. CONCLUSIONS This paper reports the major findings, outcomes and challenges for implementing enhancing industry exposure approach in Mechanics of Solids subject at UTS. The main finding of this research concluded that this project is very valuable to both students as it promotes exposure to real-world engineering challenges. The students’ exposure to real and substantive challenges improves their contextual understanding, plus their judgement,...
Movassaghi, S, Abolhasan, M & Smith, D 1970, 'Cooperative scheduling with graph coloring for interference mitigation in wireless body area networks', 2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, Turkey.
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Movassaghi, S, Abolhasan, M & Smith, D 1970, 'Smart Spectrum Allocation for Interference Mitigation in Wireless Body Area Networks', 2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE International Conference on Communications, IEEE, Australia, pp. 5688-5693.
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Movassaghi, S, Abolhasan, M, Smith, D & Jamalipour, A 1970, 'Joint Energy Harvesting and Internetwork Interference Mitigation amongst Coexisting Wireless Body Area Networks', Proceedings of the 9th International Conference on Body Area Networks, 9th International Conference on Body Area Networks, ICST, London, Great Britain.
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This paper investigates simultaneous transfer of information and energy for interference mitigation amongst multiple coexisting Wireless Body Area Networks (WBANs). We propose to utilize interference that falls into the network as a source of energy, which is mainly discarded in conventional interference mitigation schemes. More specifically, in each time slot, a single sensor node is scheduled to receive information whilst the remaining sensor nodes opportunistically harvest the ambient radio frequency energy. We develop a novel opportunistic scheduling scheme, which offers a significantly high network lifetime through a tradeoff between a sensor's spectral efficiency and average amount of energy harvested. Simulation results show that the proposed energy harvesting with smart channel allocation (E-SCA) scheme can achieve optimal spatial reuse and good energy harvesting. We also show that the proposed approach is robust to variations in channel conditions, density of sensor nodes in each WBAN and increase in number of coexisting WBANs.
Movassaghi, S, Abolhasan, M, Smith, D, Jamalipour, A & IEEE 1970, 'AIM: Adaptive Internetwork Interference Mitigation Amongst Co-existing Wireless Body Area Networks', 2014 IEEE Global Communications Conference (GLOBECOM 2014), IEEE Global Telecommunications Conference, IEEE, Austin, Texas, USA, pp. 2460-2465.
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Muhammad, KS & Dah-Chuan Lu, D 1970, 'Single-phase single-stage ZCS boost PFC rectifier with reduced switch count', 2014 Australasian Universities Power Engineering Conference (AUPEC), 2014 Australasian Universities Power Engineering Conference (AUPEC), IEEE, Australia.
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© 2014 ACPE. In this paper, a new single-phase single-stage ZCS PFC boost rectifier with reduced switch count is introduced. The efficiency of the proposed converter is improved by eliminating input stage diode-bridge. Moreover, only two active switches are used to permit bi-directional current flow from high-voltage-rail to low-voltage-rail and vice versa. Hence, no auxiliary switch is needed. A resonant inductor and a capacitor are used to make both switches operate at ZCS turn-off and soft turn-on. The proposed converter is developed by using totem-pole bridgeless boost (TPBLB) converter. Standard components are used to prove that the proposed converter is working with acceptable performance compared to other bridgeless boost converters with soft-switching. In addition, a PWM controller is proposed, which combines a conventional average-current-mode power factor correction (PFC) controller, several logic-gates and a phase detector. A detailed analysis of the converter operation and control is supported by simulation results. Finally, a 400 W, 50 kHz experimental prototype is built to verify the theoretical analysis and performance of the proposed converter.
Naik, GR, Acharyya, A & Nguyen, HT 1970, 'Classification of finger extension and flexion of EMG and Cyberglove data with modified ICA weight matrix', 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Chicago, USA, pp. 3829-3832.
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© 2014 IEEE. This paper reports the classification of finger flexion and extension of surface Electromyography (EMG) and Cyberglove data using the modified Independent Component Analysis (ICA) weight matrix. The finger flexion and extension data are processed through Principal Component Analysis (PCA), and next separated using modified ICA for each individual with customized weight matrix. The extension and flexion features of sEMG and Cyberglove (extracted from modified ICA) were classified using Linear Discriminant Analysis (LDA) with near 90% classification accuracy. The applications of this study include Human Computer Interface (HCI), virtual reality and neural prosthetics.
Naik, T, Thommandram, A, Fernando, KES, Bressan, N, James, A & McGregor, C 1970, 'A Method for a Real-Time Novel Premature Infant Pain Profile Using High Rate, High Volume Physiological Data Streams', 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS), IEEE, Icahn Sch Med, New York, NY, pp. 34-37.
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Nan, Z, Wang, X & Ni, W 1970, 'Energy-efficient transmission of delay-limited bursty data packets under non-ideal circuit power consumption', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, AUSTRALIA, pp. 4957-4962.
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Nemoto, K, Devitt J., SJ, Trupke, M, Stephens M., AM, Everitt S., MS, Buczak, K, Noebauer, T, Schmiedmayer, J & Munro, WJ 1970, 'Memory-based quantum repeaters with NV centers', Optics InfoBase Conference Papers.
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We present a simple design of a quantum repeater design build from single NV- centers embedded in an optical cavity. We compare different quantum networks from a simple linear chain to a fully fault-tolerant quantum internet. © 2014 OSA.
Nemoto, K, Devitt, SJ, Trupke, M, Stephens, AM, Everitt, MS, Buczak, K, Noebauer, T, Schmiedmayer, J & Munro, WJ 1970, 'Memory-based quantum repeaters with NV centers', Conference on Lasers and Electro-Optics Europe - Technical Digest.
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We present a simple design of a quantum repeater design build from single NV- centers embedded in an optical cavity. We compare different quantum networks from a simple linear chain to a fully fault-tolerant quantum internet.
Nemoto, K, Trupke, M, Devitt, SJ, Stephens, AM, Scharfenberger, B, Buczak, K, Nöbauer, T, Schmiedmayer, J & Munro, WJ 1970, 'Quantum repeater architecture and NV-based node technology', SPIE Proceedings, SPIE Optical Engineering + Applications, SPIE, San Diego, CA.
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Nepal, MP, Jupp, JR & Aibinu, AA 1970, 'Evaluations of BIM: Frameworks and Perspectives', Computing in Civil and Building Engineering (2014), 2014 International Conference on Computing in Civil and Building Engineering, American Society of Civil Engineers, Orlando, Florida, USA..
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This paper examines the evaluation of BIM-enabled projects. It provides a critical review of the three main areas of measurement, namely technology, organization/people and process. Using two documented case studies of BIM implementation, the paper illustrates the benefits realized by project owners and contractors, and illustrates a lack of attention relative to contextual factors affecting the adoption and deployment of BIM. The paper has three main contributions. First, it identifies and discusses the lack of and difficulty surrounding standardized assessment methods for evaluating BIM-enabled projects. Second, it proposes a conceptual model that includes contextual attributes and demonstrates how the proposed framework reaches beyond simple evaluation to encompass the documentation of BIM’s benefits, lessons learned, challenges and adopted solutions. Third, it shows how the framework can account for existing business processes, organizational process assets, and enterprise level factors. The paper aims to provide a conceptual basis for evaluation and a starting point for benchmarking.
Neville, A, Devitt J., SJ, Shadbolt J., PJ, Thackray, L, Peruzzo, A & O'Brien, JL 1970, 'Demonstration of a Characterisation Protocol for Two-qubit Hamiltonians on a Photonic Quantum Simulator', Optics InfoBase Conference Papers.
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We demonstrate an entanglement mapping based characterisation protocol for coupled-qubit Hamiltonians. This is achieved by generating and measuring time-evolved states relevant to an NV-diamond system, using a reconfigurable integrated optical device. © 2014 Optical Society of America.
Neville, A, Devitt, SJ, Shadbolt, PJ, Thackray, L, Peruzzo, A & O'Brien, JL 1970, 'Demonstration of a characterisation protocol for two-qubit hamiltonians on a photonic quantum simulator', Conference on Lasers and Electro-Optics Europe - Technical Digest.
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We demonstrate an entanglement mapping based characterisation protocol for coupled-qubit Hamiltonians. This is achieved by generating and measuring time-evolved states relevant to an NV-diamond system, using a reconfigurable integrated optical device.
Neville, A, Devitt, SJ, Shadbolt, PJ, Thackray, L, Peruzzo, A & O'Brien, JL 1970, 'Demonstration of a Characterisation Protocol for Two-qubit Hamiltonians on a Photonic Quantum Simulator', Optics InfoBase Conference Papers.
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We demonstrate an entanglement mapping based characterisation protocol for coupled-qubit Hamiltonians. This is achieved by generating and measuring time-evolved states relevant to an NV-diamond system, using a reconfigurable integrated optical device. © 2014 Optical Society of America.
Ngo, N, Indraratna, B & Rujikiatkamjorn, C 1970, 'A study of the behaviour of fresh and coal fouled ballast reinforced by geogrid using the discrete element method', Geomechanics from Micro to Macro - Proceedings of the TC105 ISSMGE International Symposium on Geomechanics from Micro to Macro, IS-Cambridge 2014, 3rd International Symposium on Geomechanics from Micro to Macro, CRC Press, Univ Cambridge, Cambridge, ENGLAND, pp. 559-563.
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Geogrids are widely used in ballasted rail tracks for reinforcement and stabilisation. During train operation, ballast becomes contaminated or fouled due to infiltration of fines from the surface, mud pumping from the subgrade, and degradation, which decreases the performance of the geogrids. This paper presents the results of a laboratory and numerical simulation to study the effect that coal fines have on the interface between ballast and geogrid. The stress-strain behaviour of fresh and fouled ballast reinforced by geogrid was investigated via a series of large scale direct shear tests in the laboratory and numerical simulations using the Discrete Element Method (DEM). The geogrid was modelled by bonding a large number of small spheres together to form the desired geometry and apertures. Irregular particle shapes were simulated in DEM by connecting many spheres together in appropriate sizes and positions. Fouled ballast was modelled by adding a predetermined amount of miniature spheres into the voids of the fresh ballast. The DEM results were then compared qualitatively with the laboratory data, and the effects of fines on the resulting shear stress-strain of ballast and the contact forces developed in the geogrids are discussed. © 2015 Taylor & Francis Group.
Nguyen, DN, Krunz, M & Hanly, S 1970, 'On the throughput of full-duplex MIMO in the multi-link case', 2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), IEEE, Tunisia, pp. 421-428.
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We are concerned with the throughput of a full-duplex (FD) MIMO network. Unlike conventional half-duplex (HD) MIMO, two wireless devices of a bidirectional FD-MIMO link have freedom of selecting which antennas/RF-chains to transmit or receive before tuning their radiation patterns to maximize the link's throughput. The freedom in configuring the function of available RF-chains, resulting in various FD-MIMO transmission modes, is referred to as FD-MIMO freedom that is shown to significantly improve the spectral efficiency of a given link. For a given RF-chain/antenna selection of a set of FD-MIMO links, we end up with a non-convex throughput maximization problem of a heterogeneous MIMO network. We design both centralized (using the augmented Lagrange function) and distributed algorithm (using a hierarchical game and pricing) to solve the problem for its locally optimal solutions. Comparing the achieved throughput of the FD-MIMO network, averaged over all obtained locally optimal solutions, with that when FD-MIMO nodes choose to operate in an HD mode, we find the HD mode surprisingly outperforms the FD mode. This trend is also observed when exploring all possible communication modes of a small size FD-MIMO network. © 2014 IFIP.
Nguyen, HH, Khabbaz, H, Fatahi, B, Vincent, P & Marix-Evans, M 1970, 'Sustainability considerations for ground improvement techniques using controlled modulus columns', PROCEEDINGS OF THE 2014 AGS SYMPOSIUM, AGS Symposium on Resilient Geotechnics, The Australian Geomechanics Society, AUSTRALIAN NATIONAL MARITIME MUSEUM, DARLING HARBOUR, NSW AUSTRALIA, pp. 170-170.
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Sustainability is becoming an ever more important consideration for the selection of ground improvement methods on construction projects around the world. When considering this criterion, the controlled modulus column (CMC) technology emerges as one of the relatively novel technologies that are capable to deliver valuable and sustainable outcomes. CMC installation is a vibration free process and produces very limited soil cuttings, making CMC suitable for improvement of soft ground, contaminated sites and ones adjacent to sensitive structures. Besides, CMC uses grout only without the use of steel reinforcement; hence carbon footprint estimated for CMC is generally lower than those for traditional piling techniques. Besides these valuable aspects, it is believed that this technology can still be advanced to contribute more to the sustainable development, owing to ongoing research works and practical experience. This paper summarises the key sustainability aspects of using CMC technology and highlights some potential aspects for further development. Future research directions are discussed to enhance sustainable design practice. These include general discussions on the issues of economic design with trial field tests, the use of recycled industrial by-products for grout mix, improved design, maximising the resiliency of structures and the energy consumption. The CMC installation effects on the surrounding soils and environment are also discussed sensibly in this paper.
Nguyen, L, Fatahi, B & Khabbaz, H 1970, 'Modelling Behaviour of Cemented Clay Capturing Cementation Degradation', Ground Improvement and Geosynthetics, Geo-Shanghai 2014, American Society of Civil Engineers, Shanghai, China, pp. 168-177.
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This paper presents a constitutive model - referred to as the Cemented Cam Clay (CCC) model - to precisely simulate the cementation degradation of cement-treated clays. Various laboratory experiments show that the effect of cementation gradually diminishes as the confining pressure increases (particularly at high effective confining pressures) due to breakdown of cementation bonds. The main concepts and formulations of the CCC model, including elasto-plastic stress-strain relationships, are presented within the framework of the critical state concept and inspired by the Modified Cam Clay (MCC) model. The special characteristic of the proposed model includes a modified mean effective stress capturing cementation degradation. In addition, the failure envelope is formulated to describe the beneficial effect of cementation at low mean effective pressure range, while it merges with the Critical State Line of reconstituted cement-clay mixture as the confining pressure continues to increase. The performance of the proposed model is evaluated against triaxial test results from cement-treated Aberdeen soil. The model predictions provide good agreement with triaxial test results, particularly at high effective confining pressures. © ASCE 2014.
Nguyen, LV, Kodagoda, S, Ranasinghe, R & Dissanayake, G 1970, 'Mobile robotic wireless sensor networks for efficient spatial prediction', 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), IEEE, Chicago, IL, USA, pp. 1176-1181.
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This paper addresses the issue of monitoring physical spatial phenomena of interest utilizing the information collected by a network of mobile, wireless and noisy sensors that can take discrete measurements as they navigate through the environment. The spatial phenomenon is statistically modelled by a Gaussian Markov Random Field (GMRF) with hyperparameters that are learnt as the measurements accumulate over
time. In this context, the GMRF approximately represents the spatial field on an irregular lattice of triangulation by exploiting a stochastic partial differential equation (SPDE) approach, which benefits remarkably in computation due to the sparsity
of the precision matrix. A technique of the one-step-ahead forecast is employed to predict the future measurements that are required to find the optimal sampling locations. It is shown that optimizing the sampling path problem with the logarithm
of the determinant either of a covariance matrix using a GP model or of a precision matrix using a GMRF model for mobile robotic wireless sensor networks (MRWSNs) even by a greedy algorithm is impractical. This paper proposes an efficient novel
optimality criterion for the adaptive sampling strategy to find the most informative locations in taking future observations that minimize the uncertainty at unobserved locations. The computational complexity of our proposed method is linear, which makes the MRWSN scalable and practically feasible. The effectiveness of the proposed approach is compared and demonstrated using a pre-published data set with appealing results.
Nguyen, ML, Tsang, IW, Chai, KMA & Chieu, HL 1970, 'Robust Domain Adaptation for Relation Extraction via Clustering Consistency', Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics, Baltimore, MD; United States, pp. 807-817.
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Ni, W, Emori, K, Marui, T, Saito, Y, Yamagami, S, Hayashi, T & Hoshi, M 1970, 'SiC Trench MOSFET with an Integrated Low Von Unipolar Heterojunction Diode', Materials Science Forum, 15th International Conference on Silicon Carbide and Related Materials (ICSCRM), Trans Tech Publications, Ltd., JAPAN, Miyazaki, pp. 923-926.
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We demonstrate a SiC trench MOSFET with an integrated low Von unipolar heterojunction diode (MOSHJD). A region of the heterojunction diode (HJD) was fabricated in a trench with p+-type poly-crystalline silicon on an n--type epitaxial layer of 4H-SiC. The measured on-resistance (Ron) of the transistor action was 15 mΩcm2. The measured Von of the diode action was 2.2 V at a forward current density of 100 A/cm2. The fabrication process of the MOSHJD is simple. First, the trenches of the MOSFET region and the HJD region are formed simultaneously; then poly-crystalline silicon is deposited to form the gate electrode of the MOSFET region and the anode electrode of the HJD region at the same time.
Nicholson, A, Jenkins, J, van Schaik, A, Hamilton, TJ & Lehmann, T 1970, 'A digital to transconductance converter for nauta structure op-amps in 65nm CMOS', 2014 IEEE 57th International Midwest Symposium on Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on Circuits and Systems (MWSCAS), IEEE, pp. 173-176.
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© 2014 IEEE. A digital-to-transcoductance converter is presented for use with digitally programmable Nauta structure operational amplifiers. The converter architecture consists of parallel connected tri-state CMOS inverters sized in such a way as to present a complete range of transconductance tunability at the expense of linearity and transconductance output range. Our converter architecture is analysed under mismatch conditions and shows that our converter meets these design constraints which are required for the programmability of high gain states within digital Nauta op-amps.
Niktash, A & Huynh, BP 1970, 'Numerical Simulation and Analysis of the Two-Sided Windcatcher Inlet\Outlet Effect on Ventilation Flow Through a Three Dimensional Room', Volume 2: Simple and Combined Cycles; Advanced Energy Systems and Renewables (Wind, Solar and Geothermal); Energy Water Nexus; Thermal Hydraulics and CFD; Nuclear Plant Design, Licensing and Construction; Performance Testing and Performance Test Codes; Student Paper Competition, ASME 2014 Power Conference, American Society of Mechanical Engineers, Baltimore, Maryland, USA, pp. 1-6.
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A windcatcher is a structure placed on the roof of a building for providing natural ventilation for interior space working by wind power. It draws out the inside stale air to the outside and supplies the outside fresh air for the building’s interior space. In this paper, the effect of different types of windcatcher’s inlet\outlet on the air flow, flow velocity and flowrate through a three-dimensional room fitted with a two-sided windcatcher is observed numerically, using a commercial computational fluid dynamics (CFD) software package. The standard RANS K-ε CFD method is used in the simulations. The flow pattern, flow velocity and flowrate of the inside ventilation flow is considered for the six different types of a two-sided windcatcher’s inlet\outlet. It is found that the shape of the inlet\outlet of windcatcher strongly affects flow pattern, flow velocity and flowrate and the performance of square windcatcher is higher than the circular one specially in ventilating the living area (lower part) of a room.
Nimbalkar, S & Indraratna, B 1970, 'Numerical and analytical modeling of particle degradation', Computer Methods and Recent Advances in Geomechanics - Proceedings of the 14th Int. Conference of International Association for Computer Methods and Recent Advances in Geomechanics, IACMAG 2014, International Conference of the International Association for Computer Methods and Advances in Geomechanics, CRC Press, Kyoto, Japan, pp. 261-266.
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Large cyclic loads are nowinevitable due to an increased demand for freight and public transport. The ballast layer subjected to these repeated traffic loads in a real track environment undergoes excessive deformation and degradation. Ballast degradation is influenced by various factors including the amplitude and number of load cycles, confining pressure, frequency, the angularity as well as fracture strength of individual grains. Given the complexities of the behaviour of the rail track, the current track analysis techniques are overly simplified. Considering this, an elasto-plastic constitutive model of a composite track is proposed. The largescale laboratory tests are simulated in a numerical model and the results are then analyzed to better understand the distribution of displacements and stresses inside the ballast layer. The advantages of the elasto-plastic finite element simulations when compared to conventional analytical methods used by practitioners that are primarily based on a linear elastic approach are demonstrated. © 2015 Taylor & Francis Group, London.
Norouzi, M, Miro, JV, Dissanayake, G & Vidal-Calleja, T 1970, 'Path planning with stability uncertainty for articulated mobile vehicles in challenging environments', 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), IEEE, Chicago, IL, pp. 1748-1753.
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© 2014 IEEE. This article proposes a probabilistic approach to account for robot stability uncertainty when planing motions over uneven terrains. A novel probabilistic stability criterion derived from the cumulative distribution of a tip-over metric is introduced that allows a safety constraint to be dynamically updated by available sensor data as it becomes available. The proposed safety constraint authorizes the planner to generates more conservative motion plans for areas with higher levels of uncertainty, while avoids unnecessary caution in well-known areas. The proposed systematic approach is particularly applicable to reconfigurable robots that can assume safer postures when required, although is equally valid for fixed-configuration platforms to choose safer paths to follow. The advantages of planning with the proposed probabilistic stability metric are demonstrated with data collected from an indoor rescue arena, as well as an outdoor rover testing facility.
Nowak, P, Czeczot, J, Klopot, T, Szymura, M & Gabrys, B 1970, 'Linearizing Controller for Higher-degree Nonlinear Processes with Compensation for Modeling Inaccuracies - Practical Validation and Future Developments', Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics, 11th International Conference on Informatics in Control, Automation and Robotics, SCITEPRESS - Science and and Technology Publications, pp. 691-698.
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This work shows the results of the practical implementation of the linearizing controller for the example laboratory pneumatic process of the third relative degree. Controller design is based on the Lie algebra framework but in contrast to the previous attempts, the on-line model update method is suggested to ensure offset-free control. The paper details the proposed concept and reports the experiences from the practical implementation of the suggested controller. The superiority of the proposed approach over the conventional PI controller is demonstrated by experimental results. Based on the experiences and the validation results, the possibilities of the potential application of the data-driven soft sensors for further improvement of the control performance are discussed.
Numbi, BP, Xia, X & Zhang, J 1970, 'Optimal Energy Control Modelling of a Vertical Shaft Impact Crushing Process', Energy Procedia, 6th International Conference on Applied Energy (ICAE), Elsevier BV, Taipei, TAIWAN, pp. 560-563.
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Oberst, S, Nava-Baro, E, Lai, JCS & Evans, TA 1970, 'An innovative signal processing technique for the extraction of ants' walking signals', INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control, INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control.
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Eusocial insects such as bees, ants and termites communicate multi-modally using chemical, visual, tactile and vibrational cues. While much work has been done on chemical and visual communications, the tactile and vibrational communication channel is somewhat neglected. Recent research indicates that structural vibrations caused by ants can be used to identify their activity level. However, these structural vibrations are caused by the response of the substrate excited by ants walking. The objective of this study is to determine the footprint of ants walking by separating the response of the substrate from the walking signal. The vibration of the substrate (in this case, a wooden veneer) caused by ants walking is measured by a laser vibrometer in an experimental setup isolated from environmental vibrations. By filtering the recorded vibration signal using a technique based on the dynamics in phase space followed by deconvolution from the response of the veneer using TIKHONOV regularisation, the ant's walking signal is extracted and its nature determined.
Ong, HC, Silitonga, AS, Mahlia, TMI, Masjuki, HH & Chong, WT 1970, 'Investigation of Biodiesel Production from Cerbera Manghas Biofuel Sources', Energy Procedia, 6th International Conference on Applied Energy (ICAE), Elsevier BV, Taipei, TAIWAN, pp. 436-439.
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Othman, FA, Hawryszkiewycz, I & Kang, K 1970, 'The influence of socio-Technical factors on knowledge-Based innovation in Saudi Arabia firms', Proceedings of the 25th Australasian Conference on Information Systems, ACIS 2014, Australasian Conference on Information Systems, ACIS, Auckland, NewZealand, pp. 1-10.
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The Saudi Arabian Government has recognised the need for an alternative path to national development in the form of a knowledge-based economy. It is important to understand the socio-technical enablers and processes towards organization innovation capability to help contribute to knowledge based economy initiative, in particular with regard to the phenomenon of knowledge sharing in Saudi firms. A conceptual model developed in the study contains four construct domains: socio-technical enablers; Diffusion of Innovation dimensions; knowledge sharing processes; and organizational innovation capability to examine depicts the relationships between the enablers, processes and outcome constructs within Saudi Arabia firms. From the empirical findings, the study has been able to offer a number of implications, which are beneficial to towards adoption of knowledge base economy seeking to enhance the Saudi organisations towards enriching the organisational innovation capability.
Paler, A, Devitt, S, Nemoto, K & Polian, I 1970, 'Software-based Pauli Tracking in Fault-tolerant Quantum Circuits', 2014 DESIGN, AUTOMATION AND TEST IN EUROPE CONFERENCE AND EXHIBITION (DATE), Design, Automation and Test in Europe Conference and Exhibition (DATE), IEEE, GERMANY, Dresden.
Paler, A, Devitt, SJ, Nemoto, K & Polian, I 1970, 'Cross-level Validation of Topological Quantum Circuits', REVERSIBLE COMPUTATION, RC 2014, 6th International Conference on Reversible Computation (RC), SPRINGER INTERNATIONAL PUBLISHING AG, Kyoto, JAPAN, pp. 189-200.
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Quantum computing promises a new approach to solving difficult computationalproblems, and the quest of building a quantum computer has started. While thefirst attempts on construction were succesful, scalability has never beenachieved, due to the inherent fragile nature of the quantum bits (qubits). Fromthe multitude of approaches to achieve scalability topological quantumcomputing (TQC) is the most promising one, by being based on an flexibleapproach to error-correction and making use of the straightforwardmeasurement-based computing technique. TQC circuits are defined within a large,uniform, 3-dimensional lattice of physical qubits produced by the hardware andthe physical volume of this lattice directly relates to the resources requiredfor computation. Circuit optimization may result in non-intuitive mismatchesbetween circuit specification and implementation. In this paper we introducethe first method for cross-level validation of TQC circuits. The specificationof the circuit is expressed based on the stabilizer formalism, and thestabilizer table is checked by mapping the topology on the physical qubitlevel, followed by quantum circuit simulation. Simulation results show thatcross-level validation of error-corrected circuits is feasible.
Paler, A, Devitt, SJ, Nemoto, K & Polian, I 1970, 'Software Pauli Tracking for Quantum Computation', Design, Automation and Test in Europe Conference and Exhibition (DATE), 2014. pp. 1-4.
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The realisation of large-scale quantum computing is no longer simply ahardware question. The rapid development of quantum technology has resulted indozens of control and programming problems that should be directed towards theclassical computer science and engineering community. One such problem is knownas Pauli tracking. Methods for implementing quantum algorithms that arecompatible with crucial error correction technology utilise extensive quantumteleportation protocols. These protocols are intrinsically probabilistic andresult in correction operators that occur as byproducts of teleportation. Thesebyproduct operators do not need to be corrected in the quantum hardware itself.Instead, byproduct operators are tracked through the circuit and output resultsreinterpreted. This tracking is routinely ignored in quantum information as itis assumed that tracking algorithms will eventually be developed. In this workwe help fill this gap and present an algorithm for tracking byproduct operatorsthrough a quantum computation. We formulate this work based on quantum gatesets that are compatible with all major forms of quantum error correction anddemonstrate the completeness of the algorithm.
Pan, C, Liu, B, Zhou, H, Gui, L & Chen, J 1970, 'Interest-based content delivery in wireless mesh networks with hybrid antenna mode', 2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP), 2014 Sixth International Conference on Wireless Communications and Signal Processing (WCSP), IEEE.
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© 2014 IEEE. Driven by the great performance improvement using flexible combination of omnidirectional and directional antennas, wireless mesh networks (WMNs) with hybrid antenna mode have become a promising technology for providing users with better network service. Since multimedia contents account for most of the network traffic, content delivery is a big issue when designing network protocols. By combining the use of both directional and omnidirectional antennas, the performance of content delivery in WMNs can be improved. Currently, research works have shown that the relationship between nodes' interests in the network reveals the small-world pattern, so we can analyze nodes' interests and design optimal mechanism to deliver contents based on their interests. In this paper, we use the interest-sharing graph to capture the similarities between nodes' interests. Based on the interesting-sharing graph, we cluster nodes in the network using graph partitioning algorithm. The purpose of clustering is to make nodes in the same cluster share similar interests. After clustering nodes, we design a content delivery mechanism in WMNs which takes advantage of both omnidirectional and directional antennas. The simulation results show that our proposed content delivery mechanism can adapt to the WMNs and performs better than using omnidirectional or directional antennas only.
Parnell, J & Wassermann, J 1970, 'Communicating the noise message', INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control.
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This paper revisits the key aspects of noise communication addressed by the authors in a previous paper and provides a summary of current practice and suggests strategies for improving the communication of information on noise so that it achieves the best outcomes. A discussion is presented on the limitations of noise assessments and public understanding as well as the consequences of good/bad noise communication. In addition, this paper also examines contemporary issues of changing expectations in communities and the dissemination of misinformation.
Parsa-Pajouh, A, Fatahi, B, Khabbaz, H & Vincent, P 1970, 'Evaluating Proposed Solutions for Equivalent Plane Strain Modeling of PVD Assisted Preloading', Advances in Transportation Geotechnics and Materials for Sustainable Infrastructure, Geo-Hubei 2014 International Conference on Sustainable Civil Infrastructure, American Society of Civil Engineers, China, pp. 9-16.
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In this study, a numerical code has been developed using free lossless audio codec (FLAC) 2-D to model the prefabricated vertical drain (PVD) assisted preloading process considering the smear zone, and evaluate the efficiency of the proposed equations for the conversion of permeability coefficient from axisymmetric state to plane-strain condition. A laboratory PVD assisted preloading test has been conducted employing a fully instrumented large Rowe cell to verify the developed numerical code. The results of the numerical plane-strain and axisymmetric simulations have been compared using four methods of permeability conversion from axisymmetric to plane-strain condition. © ASCE 2014.
Patel, M, Miro, JV & Dissanayake, G 1970, 'A probabilistic approach to learn activities of daily living of a mobility aid device user', 2014 IEEE International Conference on Robotics and Automation (ICRA), 2014 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Hong Kong, pp. 969-974.
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© 2014 IEEE. The problem of inferring human behaviour is naturally complex: people interact with the environment and each other in many different ways, and dealing with the often incomplete and uncertain sensed data by which the actions are perceived only compounds the difficulty of the problem. In this paper, we propose a framework whereby these elaborate behaviours can be naturally simplified by decomposing them into smaller activities, whose temporal dependencies can be more efficiently represented via probabilistic hierarchical learning models. In this regard, patterns of a number of activities typically carried out by users of an ambulatory aid device have been identified with the aid of a Hierarchical Hidden Markov Model (HHMM) framework. By decomposing the complex behaviours into multiple layers of abstraction the approach is shown capable of modelling and learning these tightly coupled human-machine interactions. The inference accuracy of the proposed model is proven to compare favourably against more traditional discriminative models, as well as other compatible generative strategies to provide a complete picture that highlights the benefits of the proposed approach, and opens the door to more intelligent assistance with a robotic mobility aid.
Pathirage, U, Indraratna, B, McIntosh, G & Banasiak, L 1970, 'Modeling of mineral fouling in an alkaline permeable reactive barrier in Australia', COMPUTER METHODS AND RECENT ADVANCES IN GEOMECHANICS, Computer Methods and Recent Advances in Geomechanics, CRC Press, KYOTO, JAPAN, pp. 623-628.
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Pears, A, Harland, J, Hamilton, M & Hadgraft, R 1970, 'Four Feed-Forward Principles Enhance Students' Perception of Feedback as Meaningful', 2014 International Conference on Teaching and Learning in Computing and Engineering, 2014 International Conference on Teaching and Learning in Computing and Engineering (LaTiCE), IEEE, Kuching, MALAYSIA, pp. 272-277.
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Peng, F, Wu, Q, Fan, L, Zhang, J, You, Y, Lu, J & Yang, J-Y 1970, 'Street view cross-sourced point cloud matching and registration', 2014 IEEE International Conference on Image Processing (ICIP), 2014 IEEE International Conference on Image Processing (ICIP), IEEE, Paris, France, pp. 2026-2030.
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© 2014 IEEE. Object registration has been widely discussed with the development of various range sensing technologies. In most work, however, the point clouds of reference and target are generated by the same technology, such as a Kinect range camera, LiDAR sensor, or Structure from Motion technique. Cases in which reference and target point clouds are generated by different technologies are rarely discussed. Due to the significant differences across various point cloud data in terms of point cloud density, sensing noise, scale, occlusion etc., object registration between such different point clouds becomes extremely difficult. In this study, we address for the first time an even more challenging case in which the differently-sourced point clouds are acquired from a real street view. One is generated on the basis of an image sequence through the SfM process, and the other is produced directly by the Li-DAR system. We propose a two-stage matching and registration algorithm to achieve object registration between these two different point clouds. The experiments are based on real building object point cloud data and demonstrate the effectiveness and efficiency of the proposed solution. The newly proposed solution can be further developed to contribute to several related applications, such as Location Based Service.
Peng, Y, Meng, D, Xu, Z, Gao, C, Yang, Y & Zhang, B 1970, 'Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising', 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Columbus, Ohio, USA.
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As compared to the conventional RGB or gray-scale images, multispectral images (MSI) can deliver more faithful representation for real scenes, and enhance the performance of many computer vision tasks. In practice, however, an MSI is always corrupted by various noises. In this paper we propose an effective MSI denoising approach by combinatorially considering two intrinsic characteristics underlying an MSI: the nonlocal similarity over space and the global correlation across spectrum. In specific, by explicitly considering spatial self-similarity of an MSI we construct a nonlocal tensor dictionary learning model with a group-block-sparsity constraint, which makes similar full-band patches (FBP) share the same atoms from the spatial and spectral dictionaries. Furthermore, through exploiting spectral correlation of an MSI and assuming over-redundancy of dictionaries, the constrained nonlocal MSI dictionary learning model can be decomposed into a series of unconstrained low-rank tensor approximation problems, which can be readily solved by off-the-shelf higher order statistics. Experimental results show that our method outperforms all state-of-the-art MSI denoising methods under comprehensive quantitative performance measures.
Pham, TT & Higgins, CM 1970, 'A visual motion detecting module for dragonfly-controlled robots', 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, USA, pp. 1666-1669.
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Pham, TT, Fuglevand, AJ, McEwan, AL & Leong, PHW 1970, 'Unsupervised discrimination of motor unit action potentials using spectrograms', 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, USA, pp. 1-4.
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Pileggi, SF & Amor, R 1970, 'Modelling Metropolitan Activity through Abductive Reasoning on Geographic Space', 2014 IEEE International Conference on Computer and Information Technology, 2014 IEEE International Conference on Computer and Information Technology (CIT), IEEE, Xian, PEOPLES R CHINA, pp. 783-788.
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Piyathilaka, L & Kodagoda, S 1970, 'Active visual object search using affordance-map in real world: A human-centric approach.', ICARCV, International Conference on Control, Automation, Robotics and Vision, IEEE, Singapore, pp. 1427-1432.
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Human context is the most natural explanation why objects are placed and arranged in a particular order in an indoor environment. Usually, humans arrange objects in order to support their intended activities in a given environment. However, most of the common approaches for robotic object search involve modelling object-object relationships. In this paper, we hypothesize such relationships are centered around humans and bring human context to object search by modelling human-objects
relationships through affordance-map. It identifies locations in a 3D map which support a particular affordance using virtual human models. Therefore, our approach does not require to observe real humans in the scene. The affordance-map and object-human-robot relationship are then used to infer the object search
strategy. We tested our algorithm using a mobile robot that actively searched for the object “computer monitors” in an office environment with promising results
Piyathilaka, L & Kodagoda, S 1970, 'Affordance-map: A map for context-aware path planning', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, Australian Robotics and Automation Association Inc, Melbourne, pp. 1-8.
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'Context-awareness' could be one of the most desired fundamental abilities that a robot should have when sharing a workspace with humans co-workers. Arguably, a robot with appropriate context-awareness could lead to a better human robot interaction. In this paper, we address the problem of combining contextawareness with robotic path planning. Our approach is based on affordance-map, which involves mapping latent human actions in a given environment by looking at geometric features of the environment. This enables us to learn human context in an given environment without observing real human behaviours which themselves are a non-trivial task to detect. Once learned, affordance-map allows us to assign an affordance cost value for each grid location of the map. These cost maps are later used to develop a context-aware global path planning strategy by using the well known A∗ algorithm. The proposed method was tested in a real office environment and proved our algorithm is capable of moving a robot in a path that minimises the distractions to human co-workers.
Podder, PK, Paul, M, Murshed, M & Chakraborty, S 1970, 'Fast Intermode Selection for HEVC Video Coding Using Phase Correlation', 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE.
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© 2014 IEEE. The recent High Efficiency Video Coding (HEVC) Standard demonstrates higher rate-distortion (RD) performance compared to its predecessor H.264/AVC using different new tools especially larger and asymmetric inter-mode variable size motion estimation and compensation. This requires more than 4 times computational time compared to H.264/AVC. As a result it has always been a big concern for the researchers to reduce the amount of time while maintaining the standard quality of the video. The reduction of computational time by smart selection of the appropriate modes in HEVC is our motivation. To accomplish this task in this paper, we use phase correlation to approximate the motion information between current and reference blocks by comparing with a number of different binary pattern templates and then select a subset of motion estimation modes without exhaustively exploring all possible modes. The experimental results exhibit that the proposed HEVC-PC (HEVC with Phase Correlation) scheme outperforms the standard HEVC scheme in terms of computational time while preserving-the same quality of the video sequences. More specifically, around 40% encoding time is reduced compared to the exhaustive mode selection in HEVC.
Poon, J & Miro, JV 1970, 'A Multi-modal Utility to Assist Powered Mobility Device Navigation Tasks', SOCIAL ROBOTICS, International Conference on Social Robotics (ICSR), Springer International Publishing, Sydney, Australia, pp. 300-309.
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© Springer International Publishing Switzerland 2014. This paper presents the development of a shared control systemfor power mobility device users of varying capability in order toreduce carer oversight in navigation. Weighting of a user’s joystick inputagainst a short-tem trajectory prediction and obstacle avoidancealgorithm is conducted by taking into consideration proximity to obstaclesand smoothness of user driving, resulting in capable users rewardedgreater levels of manual control for undertaking maneuvres that can beconsidered more challenging. An additional optional comparison with aVector Field Histogram applied to leader-tracking provides further activities,such as completely autonomous following and a task for the userto follow a leading entity. Indoor tests carried out on university campusdemonstrate the viability of this work, with future trials at a care homefor the disabled intended to show the system functioning in one of itsintended settings.
Porter, L, Zingaro, D & Lister, R 1970, 'Predicting student success using fine grain clicker data', Proceedings of the tenth annual conference on International computing education research, ICER '14: International Computing Education Research Conference, ACM, Glasgow, United Kingdom, pp. 51-58.
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Abstract: Recent research suggests that the rst weeks of a CS1 course have a strong in influence on end-of-course student performance. The present work aims to rene the understanding of this phenomenon by using in-class clicker questions as a source of student performance. Clicker questions generate per-lecture and per-question data with which to assess student under-standing. This work demonstrates that clicker question performance early in the term predicts student outcomes at the end of the term. The predictive nature of these questions applies to code-writing questions, multiple choice questions, and the final exam as a whole. The most predictive clicker questions are identified and the relationships between these questions and final exam performance are examined.
Pota, HR, Hossain, MJ, Mahmud, MA & Gadh, R 1970, 'Control for microgrids with inverter connected renewable energy resources', 2014 IEEE PES General Meeting | Conference & Exposition, 2014 IEEE Power & Energy Society General Meeting, IEEE, National Harbor, MD.
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Pota, HR, Hossain, MJ, Mahmud, MA, Gadh, R & Bansal, RC 1970, 'Islanded Operation of Microgrids with Inverter Connected Renewable Energy Resources', IFAC Proceedings Volumes, Elsevier BV, pp. 6368-6373.
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© IFAC. This paper contains a control scheme for power sharing in islanded microgrids with inverter-sourced distributed energy resources that combines robust control and droop control. As the load within the microgrid changes, the inverter-sourced generators share the change in the load; this paper shows that the uncontrolled load sharing among the generators will be arbitrary and methods such as droop control achieve a regulated change. This paper includes a background on control schemes for power sharing and highlights the difficulty in exact reactive power sharing. The performance of the proposed controller is demonstrated using a test microgrid system.
Pourashraf, P, Safaei, F, Franklin, DR & IEEE 1970, 'MINIMISATION OF VIDEO DOWNSTREAM BIT RATE FOR LARGE SCALE IMMERSIVE VIDEO CONFERENCING BY UTILISING THE PERCEPTUAL VARIATIONS OF QUALITY', 2014 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), IEEE International Conference on Multimedia and Expo, IEEE, Chengdu, China, pp. 1-6.
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Pradhan, S & Gay, V 1970, 'Trust Management VIII', IFIP International Federation for Information Processing, IFIP WG International Conference on Trust Management, Springer Berlin Heidelberg, Singapore, pp. 221-228.
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Healthcare blogs, podcasts, search engines and health social networks are now widely used, and referred as crowdsources, to share information such as opinions, side effects, medication and types of therapies. Attitudes and behaviours of the users play a vital role on how they create, share, retrieve and utilise the information for their own or recommend to others for specific health issues. Our research aims at defining a framework to design recommendation system that uses profiling and social networks in dental care. This paper focuses on trust derived in direct interaction between a patient and a dentist from subjective characteristics’ point of view. It highlights that attitudes, behaviours and perception of both patients and dentists are important social elements, which enhance trust and improve the matching process between them. This study forms a basis for our profile-based trust framework for dynamic dental care recommendation systems.
Pradhan, S, Gay, V & Nepal, S 1970, 'Improving dental care recommendation systems using patient and dentist profiling', Proceedings of the 25th Australasian Conference on Information Systems, ACIS 2014, Australasian Conference on Information Systems, ACIS, Auckland, New Zealand.
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Online social networks are emerging in a fast pace as people have started to rely on the information presented on such platforms as a source for many day-to-day activities such as travel, shopping, healthcare, weather and even government services. However, the usage seems to be far less for the healthcare and dental care recommendation sites. This paper investigates whether adding profiling would make a difference in the quality of the recommendation. It analyses dentists' qualities from online dental reviews. The patients are classified based on their dental behavior and type of personality obtained from a popular personality test. A survey on 240 participants confirms that participants with different personality prioritise dentists' qualities differently when selecting their ideal dentist. From this finding, this paper recommends integrating subjective characteristics while profiling both dentists and patients in dental recommendation systems.
Pradhan, S, Gay, V & Nepal, S 1970, 'Improving dental care recommendation systems using trust and social networks', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, pp. 4264-4269.
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The growing popularity of Health Social Networking sites has a tremendous impact on people's health related experiences. However, without any quality filtering, there could be a detrimental effect on the users' health. Trust-based techniques have been identified as effective methods to filter the information for recommendation systems. This research focuses on dental care related social networks and recommendation systems. Trust is critical when choosing a dental care provider due to the invasive nature of the treatment. Surprisingly, current dental care recommendation systems do not use trust-based techniques, and most of them are simple reviews and ratings sites. This research aims at improving dental care recommendation systems by proposing a new framework, taking trust into account. It derives trust from both users' social networks and from existing crowdsourced information on dental care. Such a framework could be used for other healthcare recommendation systems where trust is of major importance.
Pradhan, S, Gay, V & Nepal, S 1970, 'Improving the matching process of dental care recommendation systems by using subjective criteria for both patients and dentists', Proceedings - Pacific Asia Conference on Information Systems, PACIS 2014, Pacific Asia Conference on Information Systems, AIS, Singapore.
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Nowadays, healthcare recommendation systems are matching health professionals with patients based on preferences such as location, type of treatments, price, availability or other information including their type of health insurance. In the health social network domain, subjective criteria such as attitude, personality and behaviour have not been considered for matching of patients and health professionals. In this research, we focus on dental care recommendation systems and we aim at introducing subjective criteria in the matching process. Patients are profiled in terms of attitudes, personalities and behaviours through a set of questionnaires, derived from the popular methods such as DISC (Dominant, Influencer, Steady, and Compliant) personality test. In addition, we use crowdsourcing to extract feedback from patients and to profile dentists according to their qualities (e.g.: Friendly, caring, rude, etc.). These qualities are then used in the matching process. A thorough investigation on how to improve the matching process of a patient's subjective profile with a dentist's qualities is done through online questionnaires and focus group. The research aims at deriving a dynamic set of matching rules to improve the process of recommendation that includes subjective aspects so that in the future, patients can be better matched with the 'right' dentist for them.
Prasad, M, Chou, KP, Saxena, A, Kawrtiya, OP, Li, DL & Lin, CT 1970, 'Collaborative fuzzy rule learning for Mamdani type fuzzy inference system with mapping of cluster centers', 2014 IEEE Symposium on Computational Intelligence in Control and Automation (CICA), 2014 IEEE Symposium on Computational Intelligence in Control and Automation (CICA), IEEE, USA, pp. 1-6.
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© 2014 IEEE. This paper demonstrates a novel model for Mamdani type fuzzy inference system by using the knowledge learning ability of collaborative fuzzy clustering and rule learning capability of FCM. The collaboration process finds consistency between different datasets, these datasets can be generated at various places or same place with diverse environment containing common features space and bring together to find common features within them. For any kind of collaboration or integration of datasets, there is a need of keeping privacy and security at some level. By using collaboration process, it helps fuzzy inference system to define the accurate numbers of rules for structure learning and keeps the performance of system at satisfactory level while preserving the privacy and security of given datasets.
Prasad, M, Chou, KP, Saxena, A, Kawrtiya, OP, Li, DL & Lin, CT 1970, 'Collaborative Fuzzy Rule Learning for Mamdani Type Fuzzy Inference System with Mapping of Cluster Centers', 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN CONTROL AND AUTOMATION (CICA), IEEE Symposium on Computational Intelligence in Control and Automation (CICA), IEEE, Orlando, FL, pp. 15-20.
Prasad, M, Siana, L, Li, DL, Lin, CT, Liu, YT & Saxena, A 1970, 'A preprocessed induced partition matrix based collaborative fuzzy clustering for data analysis', 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE, Beijing, China, pp. 1553-1558.
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© 2014 IEEE. Preprocessing is generally used for data analysis in the real world datasets that are noisy, incomplete and inconsistent. In this paper, preprocessing is used to refine the inconsistency of the prototype and partition matrices before getting involved in the collaboration process. To date, almost all organizations are trying to establish some collaboration with others in order to enhance the performance of their services. Due to privacy and security issues they cannot share their information and data with each other. Collaborative clustering helps this kind of collaborative process while maintaining the privacy and security of data and can still yield a satisfactory result. Preprocessing helps the collaborative process by using an induced partition matrix generated based on cluster prototypes. The induced partition matrix is calculated from local data by using the cluster prototypes obtained from other data sites. Each member of the collaborating team collects the data and generates information locally by using the fuzzy c-means (FCM) and shares the cluster prototypes to other members. The other members preprocess the centroids before collaboration and use this information to share globally through collaborative fuzzy clustering (CFC) with other data. This process helps system to learn and gather information from other data sets. It is found that preprocessing helps system to provide reliable and satisfactory result, which can be easily visualized through our simulation results in this paper.
Prior, J, Connor, A & Leaney, J 1970, 'Things coming together', Proceedings of the 2014 conference on Innovation & technology in computer science education - ITiCSE '14, the 2014 conference, ACM Press, Uppsala, Sweden.
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We have evidence that the software studio provides learning that genuinely prepares students for professional practice. Learning that entails dealing with complex technical problems and tools. Learning that involves working effectively in groups. Learning that results in the building of students self-confidence and the conviction that they can successfully deal with the challenges of modern software system development. Learning that allows the accomplishment of the more elusive professional competencies. In order for students to achieve this type of deep learning, they need time to immerse themselves in complex problems within a rich environment such as the software studio. The studio also enables each student group to develop and succeed according to their needs, and in different ways. The conclusions above arise from an ethnographic study in an undergraduate software studio prototype with two student groups and their mentors.
Prior, JR 1970, 'AsseSQL', Proceedings of the 2014 conference on Innovation & technology in computer science education - ITiCSE '14, the 2014 conference, ACM Press, p. 327.
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1. THE TOOL AsseSQL is an online, browser-based SQL query assessment tool, developed in-house. 2. GOAL To assess students' SQL query design and construction skills in a manner that more authentically mirrors how these skills are applied in professional practice. 3. APPLICATION With manual assessment, it's difficult for students to know if they have the query design correct, or if their query returns the correct results. One of the difficulties for a student is conceptualising and visualising the result of an executed SQL statement. Constructing queries online, executing them, visually verifying the result and, if necessary, modifying the query until it gives the correct result further internalises the query formulation skill. Immediate feedback is an important component in the learning and assessment loop. Copyright © 2014 ACM.
Prior, JR, Arjpru, S & Leaney, JR 1970, 'Towards an industry-collaborative, reflective software learning and development environment', Proceedings of the 23rd Australasian Software Engineering Conference ASWEC 2014, Australian Software Engineering Conference, IEEE, Sydney, Australia.
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A significant mismatch (88%) has been found between what employers and graduates perceived as important abilities and how universities had prepared graduates for employment. Conventional Teaching and Learning approaches fall short of providing the kind of learning experiences needed to prepare graduates for the realities of professional practice in industry. On the other hand, current students have very different learning styles than their forebears. Their learning preferences are experiential, working in teams, and using technology for learning. One solution to address this mismatch issue is the software development studio. Our aim is to provide an industry-collaborative, reflective learning environment that will effect the students development of holistic skills, such as teamwork, collaboration and communication, together with technical skills, in a discipline context. This paper further describes the design and validation via prototyping for our software development studio, the progress that we have made so far, and presents the preliminary insights gleaned from our studio prototyping. The prototypes raised issues of attitudinal change, communication, reflection, sharing, mentoring, use of process, `doing time, relationships and innovation.
Qayyum, U & Kim, J 1970, 'Global Optimization for 2D SLAM Problem', Proceedings of Informatics in Control, Automation and Robotics, Springer International Publishing, pp. 35-49.
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Qi Gu, Yan Zhang, Jian Cao, Guandong Xu & Cuzzocrea, A 1970, 'A confidence-based entity resolution approach with incomplete information', 2014 International Conference on Data Science and Advanced Analytics (DSAA), 2014 International Conference on Data Science and Advanced Analytics (DSAA), IEEE, China, pp. 97-103.
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Entity resolution identifies entities from different data sources that refer to the same real-world entity and it is an important prerequisite for integrating data from multiple sources. Entity resolution mainly relies on similarity measures on data records. Unfortunately, the data quality of data sources is not so good in practice. Especially web data sources often only provide incomplete information, which leads to the difficulties of direct applying similarity measures to identify the same entities. In order to address this problem, the concept of confidence is introduced to measure the trustworthy of the similarity calculation. An adaptive rule-based approach is used to calculate the similarity between records and its confidence is also derived. Then the similarity and confidence are propagated on the entity relational graph until fix point is reached. Finally, any pair of two records can be determined as matched or unmatched based on a threshold. We performed a series of experiments on real data sets and experiment results show that our approach has a better performance comparing with others.
Qi, J & Dah-Chuan Lu, D 1970, 'Review of battery cell balancing techniques', 2014 Australasian Universities Power Engineering Conference (AUPEC), 2014 Australasian Universities Power Engineering Conference (AUPEC), IEEE, Perth, WA, Australia.
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© 2014 ACPE. A highly reliable and efficient battery management system (BMS) is crucial for applications that are powered by electrochemical power. Cell balancing is one of the most important features of a BMS. Cell balancing techniques help to distribute energy evenly among battery cells. Without cell balancing, a portion of the capacity or energy in the battery bank will be wasted, especially for long battery string which operates in frequent recycling condition. In this paper, some popular cell balancing techniques are described and categorized according to the way of processing redundant energy in battery cells.
Qin, L, Yu, JX, Chang, L, Cheng, H, Zhang, C & Lin, X 1970, 'Scalable big graph processing in MapReduce.', SIGMOD Conference, ACM Special Interest Group on Management of Data Conference, ACM, Utah, USA, pp. 827-838.
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MapReduce has become one of the most popular parallel computing paradigms in cloud, due to its high scalability, reliability, and fault-tolerance achieved for a large variety of applications in big data processing. In the literature, there are MapReduce Class MRC and Minimal MapReduce ClassMMC to define the memory consumption, communication cost, CPU cost, and number of MapReduce rounds for an algorithm to execute in MapReduce. However, neither of them is designed for big graph processing in MapReduce, since the constraints inMMCcan be hardly achieved simultaneously on graphs and the conditions in MRC may induce scalability problems when processing big graph data. In this paper, we study scalable big graph processing in MapReduce. We introduce a Scalable Graph processing Class SGC by relaxing some constraints inMMCto make it suitable for scalable graph processing. We define two graph join operators in SGC, namely, EN join and NE join, using which a wide range of graph algorithms can be designed, including PageRank, breadth first search, graph keyword search, Connected Component (CC) computation, and Minimum Spanning Forest (MSF) computation. Remarkably, to the best of our knowledge, for the two fundamental graph problems CC and MSF computation, this is the first work that can achieve O(log(n)) MapReduce rounds with O(n + m) total communication cost in each round and constant memory consumption on each machine, where n and m are the number of nodes and edges in the graph respectively. We conducted extensive performance studies using two web-scale graphs Twitter-2010 and Friendster with different graph characteristics. The experimental results demonstrate that our algorithms can achieve high scalability in big graph processing. © 2014 ACM.
Qin, P-Y, Guo, YJ, Ding, C & IEEE 1970, 'A Polarization Reconfigurable Antenna for Dual-Band Operation', 2014 INTERNATIONAL WORKSHOP ON ANTENNA TECHNOLOGY: 'SMALL ANTENNAS, NOVEL EM STRUCTURES AND MATERIALS, AND APPLICATIONS' (IWAT), International Workshop on Antenna Technology - Small Antennas, Novel EM Structures and Materials, and Applications (iWAT), IEEE, IEEE, pp. 65-67.
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© 2014 IEEE. A polarization reconfigurable microstrip patch antenna is presented for wireless local area network (WLAN) dual-band operation (2.4 GHz and 5.8 GHz). The microstrip patch is aperture coupled to a microstrip line located along the diagonal line of the patch. The dual-band operation is realized by adjusting the frequency ratio of the TM10 and TM30 modes using four shorting posts. PIN diodes are employed to control the connection between the centre of each edge of the patch and the ground. By switching the PIN diodes, the proposed antenna can radiate either horizontal, vertical, or 45°linear polarization in the two frequency bands. The antenna are fabricated and measured. Good agreement is observed between the measured and the simulated results on reflection coefficients.
Qin, P-Y, Guo, YJ, Wei, F & IEEE 1970, 'Frequency Agile Monopole Antenna Using A Reconfigurable Bandpass Filter', 2014 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM (APSURSI), IEEE Antennas-and-Propagation-Society International Symposium (APSURSI), IEEE, Memphis, TN, USA, pp. 1250-1251.
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A novel microstrip monopole antenna with a reconfigurable -10 dB impedance bandwidth is proposed in this paper for cognitive radios. The antenna is fed by a microstrip line integrated with a stub coupled multiple-mode-resonator (MMR) filter. The reconfiguration of the filter makes the circular disc monopole antenna operate at either a wideband state from 3.8 to 6.9 GHz or a narrowband state by using a PIN diode. For the narrowband state, two varactor diodes are employed to change the antenna operating frequency from 4.3 to 6.6 GHz with a minimum 40 MHz bandwidth. Preliminary simulated results on input reflection coefficients for different states of the antenna are discussed in the paper.
Qin, P-Y, Guo, YJ, Weily, AR & IEEE 1970, 'A Sub-wavelength Reflectarray Element Based on Double Square Rings Loaded with Meander Lines', 2014 8TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), European Conference on Antennas and Propagation, IEEE, The Hague, Netherlands, pp. 2296-2298.
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A sub-wavelength phase-shifter element is presented for a single-layer reflectarray design at 10 GHz. The element has a size of around a fifth of a wavelength and consists of double concentric square rings loaded with meander lines. By changing the length of the meander line from 0 to 1mm, a 340 degree phase variation range can be achieved, which is much greater than many reported sub-wavelength reflectarray elements. In addition, the slope of the phase response remains almost constant at 9 GHz and 11 GHz, implying the proposed element has broadband properties. A WR 90 waveguide is used to measure the reflection phase of the elements and good agreement between the simulated and measured results are obtained.
Qiu, X, Gao, M & Burnett, I 1970, 'A comparison between adaptive ANC algorithms with and without cancellation path modelling', 21st International Congress on Sound and Vibration 2014, ICSV 2014, 21st International Congress on Sound and Vibration, pp. 122-129.
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The adaptive filters in active noise control (ANC) systems differ from other common adaptive filters in the existence of the cancellation path, which is the transfer function between the outputs of the adaptive control filters and the error sensors. Cancellation paths play a critical role in active noise control systems, and the corresponding adaptive algorithms usually require the information of the cancellation paths for updating the control filters. The most commonly used filtered-x LMS algorithm takes into account the cancellation paths by filtering the reference signal with an estimate of the cancellation path transfer functions. For many ANC applications, the cancellation path modelling must be carried out online to maintain the stability of the system, and one modelling method obtains the cancellation path information by injecting uncorrelated signal into the cancellation path. This paper will introduce the filtered-x LMS algorithm embedded with this online cancellation path modelling and the direction search LMS algorithm, which is one of the ANC algorithms that do not need an explicit model of the cancellation path. In the direction search LMS algorithm, the standard LMS algorithm is adopted to update the adaptive filter coefficients directly with the reference signal by automatically choosing a proper update direction based on the monitoring of the excess noise power. The performance of the two typical adaptive ANC algorithms, one with and one without cancellation path modelling, will be compared in terms of noise reduction level, tracking speed, computation load and robustness.
Quang, NK, Ha, QP & Hieu, NT 1970, 'FPGA sensorless PMSM drive with adaptive fading extended Kalman filtering', 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), IEEE, Singapore, pp. 295-300.
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This paper addresses the design and implementation
of an Adaptive Fading Extended Kalman Filter (AF-EKF) for
the sensorless Permanent Magnet Synchronous Motor (PMSM)
on a Field Programmable Gate Array (FPGA) chip. The rotor
position and speed of the motor are estimated by the implemented
AF-EKF and their estimates are then used in vector control
of the PMSM. In conventional Kalman filtering, abrupt state
changes may not be tracked adequately since sudden variations
may seriously affect the auto-correlation Gaussian property of
white noise in the filter residuals. For this, the AF-EKF has
been developed to recover the estimation results in events of
frequent and sharp state jumps. The AF-EKF is, therefore,
a promising estimator for PMSM drives that are subject to
frequently-varying loads speed commands. Here, for realization of
the PMSM sensorless control using the system-on-programmablechip
technology, high-speed arithmetic functions and pipelining
are employed in the FPGA implementation. The finite state
machine method is also used to facilitate the execution timing
and chip design. The co-simulation of Modelsim/Simulink shows
effectiveness of the proposed chip-based AF-EKF PMSM speed
estimation.
Quin, P, Alempijevic, A, Paul, G & Liu, D 1970, 'Expanding wavefront frontier detection: An approach for efficiently detecting frontier cells', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, Australasian Robotics and Automation Association, Melbourne, pp. 1-10.
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Frontier detection is a key step in many robot exploration algorithms. The more quickly frontiers can be detected, the more efficiently and rapidly exploration can be completed. This paper proposes a new frontier detection algorithm called Expanding Wavefront Frontier Detection (EWFD), which uses the frontier cells from the previous timestep as a starting point for detecting the frontiers in the current timestep. As an alternative to simply comparing against the naive frontier detection approach of evaluating all cells in a map, a new benchmark algorithm for frontier detection is also presented, called Naive Active Area frontier detection, which operates in bounded constant time. EWFD and NaiveAA are evaluated in simulations and the results compared against existing state-of-the-art frontier detection algorithms, such as Wavefront Frontier Detection and Incremental-Wavefront Frontier Detection.
Rafi, FHM, Hossain, MJ & Lu, J 1970, 'Design of a single stage transformerless VSI in a smart microgrid for PV-STATCOM/ESS operations', 2014 Australasian Universities Power Engineering Conference (AUPEC), 2014 Australasian Universities Power Engineering Conference (AUPEC), IEEE, Perth, AUSTRALIA.
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Rahman, MS, Pota, HR, Hossain, MJ & IEEE 1970, 'Cyber Vulnerabilities on Agent-based Smart Grid Protection System', 2014 IEEE PES GENERAL MEETING - CONFERENCE & EXPOSITION, IEEE PES General Meeting, IEEE, National Harbor, MD.
Rahman, ZU, Hussain, OK & Hussain, FK 1970, 'Time Series QoS Forecasting for Management of Cloud Services', 2014 Ninth International Conference on Broadband and Wireless Computing, Communication and Applications, 2014 Ninth International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA), IEEE, Guangdong.
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Management of Cloud services is one of the important aspects for the cloud service users to manage in order to ensure that they achieve their required outcomes. There is a wide interest in the literature on this problem, but most of that work has approached this problem from the service provider's (platform) viewpoint. While on the one hand, having techniques to monitor a service from this viewpoint is important, on the other hand it is also important to monitor the QoS of a cloud service being received at the user side. This is because there is a possibility of the service user being unable to obtain the promised service with the required characteristics due to factors beyond the platform side which affects the QoS being received at the run time. One of the main factors for user side service monitoring is the accurate forecasting of the QoS of cloud services over a period of time in the future based on the past observed pattern or history. In this paper we investigate the use of exponential smoothing and autoregressive moving average models for forecasting the QoS of cloud services. We propose a forecasting mechanism which uses the past QoS values collected though QoS monitoring to forecast the future QoS of cloud services.
Ramezani, F, Lu, J & Hussain, F 1970, 'Task Based System Load Balancing Approach in Cloud Environments', Knowledge Engineering and Management, International Conference on Intelligent Systems and Knowledge Engineering, Springer Berlin Heidelberg, Beijing, China, pp. 31-42.
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Live virtual machine (VM) migration is a technique for transferring an active VM from one physical host to another without disrupting the VM. This technique has been proposed to reduce the downtime for migrated overload VMs. As VMs migration takes much more times and cost in comparison with tasks migration, this study develops a novel approach to confront with the problem of overload VM and achieving system load balancing, by assigning the arrival task to another similar VM in a cloud environment. In addition, we propose a multi-objective optimization model to migrate these tasks to a new VM host applying multi-objective genetic algorithm (MOGA). In the proposed approach, there is no need to pause VM during migration time. In addition, as contrast to tasks migration, VM live migration takes longer to complete and needs more idle capacity in host physical machine (PM), the proposed approach will significantly reduce time, downtime memory, and cost consumption.
Ranasinghe, R, Dantanarayana, L, Tran, A, Lie, S, Behrens, M & Liu, L 1970, 'Smart hoist: An assistive robot to aid carers.', ICARCV, International Conference on Control, Automation, Robotics and Vision, IEEE, Singapore, pp. 1285-1291.
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© 2014 IEEE. Assistive Robotics(AR) is a rapidly expanding field, implementing advanced intelligent machines capable of working collaboratively with a range of human users; as assistants, tools and as companions. These AR devices can provide assistance to stretched carers when transferring non-ambulatory patients safely. This paper presents the preliminary outcomes of the design, development and implementation of a patient lifting AR device, Smart Hoist. This device, an enhanced conventional patient lifter (standard hoist), is fitted with several sensors capable of interacting with the device operator and its environment, and a set of powered wheels. The assisted manoeuvring functionality of the Smart Hoist may help reduce prevailing lower back injuries among the carers while improving the safety of carers and patients. Results collected from an evaluation of the preliminary version of the Smart Hoist conducted at the premises of IRT Woonona residential care facility confirms the system is easy to use and it reduces the effort of the operator, which may help in reducing lower back injuries.
Roser, C, Lorentzen, K & Deuse, J 1970, 'Reliable Shop Floor Bottleneck Detection for Flow Lines through Process and Inventory Observations', Procedia CIRP, Elsevier BV, pp. 63-68.
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© 2014 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license. Bottleneck detection in manufacturing is the key to improving production efficiency and stability in order to improve capacity. Yet common bottleneck detection methods in industry and academia lack either accuracy or practicability, or both, for dynamic systems. The new methodology is conducted by the observation of processes and inventories. Blocked processes and full inventories indicate a downstream bottleneck. Starved processes and empty inventories indicate an upstream bottleneck. Through subsequent observations of multiple process states and inventory levels within a system, it is possible to determine the direction of the bottleneck at the given time and hence to find the momentary bottleneck in the system. The shifting of bottlenecks can be observed directly. Work-sampling techniques can be used to obtain a long-term picture of the dynamically shifting bottleneck. The new methodology does not require any calculations, statistics, or time measurements. Hence the method is suited for practical use by shop floor supervisors and clerks. The direct observation of the bottleneck also gives additional information about the underlying causes of the bottlenecks, simplifying the improvement of the system capacity. Extensive field testing of the method received positive feedback not only from management but also shop floor operators. The method is already in use at the Robert Bosch GmbH, where it is known as the bottleneck walk.
Roxby, DN, Nham Tran & Nguyen, HT 1970, 'A simple microbial fuel cell model for improvement of biomedical device powering times', 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Sheraton Chicago Towers and Hotel, Chicago, United States of America, pp. 634-637.
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© 2014 IEEE. This study describes a Matlab based Microbial Fuel Cell (MFC) model for a suspended microbial population, in the anode chamber for the use of the MFC in powering biomedical devices. The model contains three main sections including microbial growth, microbial chemical uptake and secretion and electrochemical modeling. The microbial growth portion is based on a Continuously Stirred Tank Reactor (CSTR) model for the microbial growth with substrate and electron acceptors. Microbial stoichiometry is used to determine chemical concentrations and their rates of change and transfer within the MFC. These parameters are then used in the electrochemical modeling for calculating current, voltage and power. The model was tested for typically exhibited MFC characteristics including increased electrode distances and surface areas, overpotentials and operating temperatures. Implantable biomedical devices require long term powering which is the main objective for MFCs. Towards this end, our model was tested with different initial substrate and electron acceptor concentrations, revealing a four-fold increase in concentrations decreased the power output time by 50%. Additionally, the model also predicts that for a 35.7% decrease in specific growth rate, a 50% increase in power longevity is possible.
Rujikiatkamjorn, C & Indraratna, B 1970, 'Environmental Sustainability of Soft Soil Improvement via Vacuum and Surcharge Preloading', Geo-Congress 2014 Technical Papers, Geo-Congress 2014, American Society of Civil Engineers, pp. 3658-3665.
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Due to environmental concerns, sustainable ground improvement is considered a critical part of modern infrastructure development. Current policy on environmental sustainability often expects noise-free, chemical-free, and low carbon emission processes, while being economical. In this context, the application of prefabricated vertical drains (PVD) with vacuum preloading is regarded as one of the most sustainable ground improvement techniques. Compared with other ground improvement methods such as piling and chemical stabilization, this method will not only save a considerable cost in embankment construction, but will also improve the construction rate of coastal highways and rail tracks and their load-carrying capacity. The utilization of vacuum preloading will also minimize environmental impact by reducing greenhouse gas emissions and the need for mining natural surcharge fill. The FEM code ABAQUS with the equivalent approach is employed to study the performance of a full-scale test embankment constructed in Thailand. A comparison of the performance of the vacuum system with the standard surcharge fill is elucidated including its benefits and environmental impact. © 2014 American Society of Civil Engineers.
Ruppert, MG & Moheimani, SOR 1970, 'Novel Reciprocal Self-Sensing Techniques for Tapping-Mode Atomic Force Microscopy', IFAC Proceedings Volumes, Elsevier BV, pp. 7474-7479.
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Saberi, M, Hussain, OK & Chang, E 1970, 'Intelligent online customer recognition framework: Dealing with common personal names', 2014 9th IEEE Conference on Industrial Electronics and Applications, 2014 IEEE 9th Conference on Industrial Electronics and Applications (ICIEA), IEEE, Hangzhou, PEOPLES R CHINA, pp. 966-+.
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Saberi, M, Hussain, OK, Janjua, NK & Chang, E 1970, 'In-house Crowdsourcing-Based Entity Resolution: Dealing with Common Names', 2014 IEEE 11th International Conference on e-Business Engineering, 2014 IEEE 11th International Conference on e-Business Engineering (ICEBE), IEEE, Guangzhou, PEOPLES R CHINA, pp. 83-88.
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Saha, S, Hossen, S, Hasib, MH & Saha, SC 1970, 'Onset of transition in mixed convection of a lid-driven trapezoidal enclosure filled with water-Al2O3 nanofluid', Proceedings of the 19th Australasian Fluid Mechanics Conference, AFMC 2014.
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A numerical study is carried out to investigate the transition from laminar to chaos in mixed convection heat transfer inside a lid-driven trapezoidal enclosure. In this study, the top wall is considered as isothermal cold surface, which is moving in its own plane at a constant speed, and a constant high temperature is provided at the bottom surface. The enclosure is assumed to be filled with water-Al2O3 nanofluid. The governing Navier-Stokes and thermal energy equations are expressed in non-dimensional forms and are solved using Galerkin finite element method. Attention is paid in the present study on the pure mixed convection regime at Richandson number, Ri = 1. The numerical simulations are carried out over a wide range of Reynolds (0.1 ≤ Re ≤ 103) and Grashof (0.01 ≤ Gr ≤ 106) numbers. Effects of the presence of nanofluid on the characteristics of mixed convection heat transfer are also explored. The average Nusselt numbers of the heated wall are computed to demonstrate the influence of flow parameter variations on heat transfer. The corresponding change of flow and thermal fields is visualized from the streamline and the isotherm contour plots.
Saha, SC & Gu, YT 1970, 'Natural convection heat transfer in a baffled triangular enclosure', Proceedings of the 19th Australasian Fluid Mechanics Conference, AFMC 2014.
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To reduce the natural convection heat loss from enclosures many researchers used convection suppression devices in the past. In this study a single baffle is used under the top tip to investigate numerically the natural convection heat loss in an attic shaped enclosure which is a cost effective approach. The case considered here is one inclined wall of the enclosure is uniformly heated while the other inclined wall is uniformly cooled with adiabatic bottom wall. The finite volume method has been used to discretize the governing equations, with the QUICK scheme approximating the advection term. The diffusion terms are discretized using central-differencing with second order accuracy. A wide range of governing parameters are studied (Rayleigh number, aspect ratio, baffle length etc.). It is observed that the heat transfer due to natural convection in the enclosure reduces when the baffle length is increased. Effects of other parameters on heat transfer and flow field are described in this study.
Saha, SC, Rannie, M, Sauret, E & Gu, YT 1970, 'Numerical modelling for improved underground-mine ventilation systems', 8th Australasian Congress on Applied Mechanics, ACAM 2014, as Part of Engineers Australia Convention 2014, pp. 747-754.
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Diesel engine is commonly used in the underground mining heavy vehicle. However, particle emissions from combustion engine have been declared to be a serious concern for the human health as well as the environment. Diesel engines are one of the most important sources of particulate and NOx emissions which consumes significant amount of oxygen which is dangerous for the mine workers as they will receive insufficient oxygen supply. Therefore, we need to design a proper ventilation system so that adequate oxygen can be supplied and keep the hazardous gas or ultrafine particles concentration as an allowable level in the mining tunnels. The main objective of this study is to find a high concentration area in the mining tunnel and propose and examine various ventilation strategies to control the concentration level to ensure health and safety, work efficiency and cost related to energy consumption. The well-established computational fluid dynamics (CFD) approach has been carried out to investigate the airflow, particle tracing and the position of the ventilation system. A three dimensional unsteady model is developed in this study for an underground mine tunnel with heavy vehicle is in operation. The commercial CFD software, ANSYS 15 (CFX) has been used for the numerical simulation. An Eulerian-Lagrangian approach is used to respectively model the main flow and particules' trajectories.
Salvador, MM, Gabrys, B & Žliobaitė, I 1970, 'Online Detection of Shutdown Periods in Chemical Plants: A Case Study', Procedia Computer Science, 18th Annual International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES), Elsevier BV, Pomeranian Sci & Technol, Gdynia, POLAND, pp. 580-588.
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Samal, PB, Soh, PJ, Xu, H & Vandenbosch, GAE 1970, 'Microstrip-based all-textile unidirectional UWB antenna with full ground plane', The 8th European Conference on Antennas and Propagation (EuCAP 2014), 2014 8th European Conference on Antennas and Propagation (EuCAP), IEEE.
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San, PP, Ling, SH, Soe, NN, Nguyen, HT & IEEE 1970, 'A Novel Extreme Learning Machine for Hypoglycemia Detection', 2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Chicago, pp. 302-305.
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Sanjid, A, Masjuki, HH, Kalam, MA, Abedin, MJ & Rahman, SMA 1970, 'Experimental Investigation of Mustard Biodiesel Blend Properties, Performance, Exhaust Emission and Noise in an Unmodified Diesel Engine', APCBEE Procedia, Elsevier BV, pp. 149-153.
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Sanjid, A, Masjuki, HH, Kalam, MA, Rahman, SMA, Abedin, MJ, Reza, MI & Sajjad, H 1970, 'Experimental Investigation of Palm-jatropha Combined Blend Properties, Performance, Exhaust Emission and Noise in an Unmodified Diesel Engine', Procedia Engineering, Elsevier BV, pp. 397-402.
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Sato, H, Manabe, K-I, Wei, D, Jiang, Z & Kondo, D 1970, 'Potential of fluid pressure use for achieving high formability in micro sheet forming process', AIP Conference Proceedings, INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2014 (ICCMSE 2014), AIP Publishing LLC, Greece, pp. 327-330.
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© 2014 AIP Publishing LLC. This study decsribesa potential offluid pressure in micro hydromechanical deep drawingto achieve high formability. The FE simulation is carried out using the stainless steel foil with 50μm thickness. The friction holding effect can be obtained by applying the fluid pressure and it becomes high at high D p /t in MHDD. By applying the counter and radial pressure in MHDD, the desired lubrication condition can be obtained and the friction force can be reduced. By the friction holding effect and lubrication effect in MHDD, the micro cups can be successful fabricated in MHDD. Consequently, it is clarify that the fluid pressure has a potential to achieve the high formability because it makes the friction holding, radial pressure and lubrication effects in MHDD.
Sauret, E, Hooman, K & Saha, SC 1970, 'CFD Simulations of Flow and Heat Transfer Through the Porous Interface of a Metal Foam Heat Exchanger', Volume 1: Fuels and Combustion, Material Handling, Emissions; Steam Generators; Heat Exchangers and Cooling Systems; Turbines, Generators and Auxiliaries; Plant Operations and Maintenance; Reliability, Availability and Maintainability (RAM); Plant Systems, Structures, Components and Materials Issues, ASME 2014 Power Conference, American Society of Mechanical Engineers, Baltimore, MD.
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This paper offers numerical modelling of a waste heat recovery system. A thin layer of metal foam is attached to a cold plate to absorb heat from hot gases leaving the system. The heat transferred from the exhaust gas is then transferred to a cold liquid flowing in a secondary loop. Two different foam PPI (Pores Per Inch) values are examined over a range of fluid velocities. Numerical results are then compared to both experimental data and theoretical results available in the literature. Challenges in getting the simulation results to match those of the experiments are addressed and discussed in detail. In particular, interface boundary conditions specified between a porous layer and a fluid layer are investigated. While physically one expects much lower fluid velocity in the pores compared to that of free flow, capturing this sharp gradient at the interface can add to the difficulties of numerical simulation. The existing models in the literature are modified by considering the pressure gradient inside and outside the foam. Comparisons against the numerical modelling are presented. Finally, based on experimentally-validated numerical results, thermo-hydraulic performance of foam heat exchangers as waste heat recovery units is discussed with the main goal of reducing the excess pressure drop and maximising the amount of heat that can be recovered from the hot gas stream.
Schluessel, M, Shrestha, R & Crews, K 1970, 'Acoustic performance of timber and timber-concrete composite floors', WCTE 2014 - World Conference on Timber Engineering, Proceedings.
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A major problem in light-weight timber floors is their insufficient performance coping with impact noise in low frequencies. There are no prefabricated solutions available in Australia and New Zealand. To rectify this and enable the implementation of light-weight timber floors, a structural floor was designed and built in laminated veneer lumber (LVL). The floor was evaluated in a laboratory setting based on its behaviour and then modified with suspended ceilings and different floor toppings. Twenty-nine different floor compositions were tested. The bare floor could not reach the minimum requirement set by the Building Code of Australia (BCA) but with additional layers, a sufficient result of R'w+Ctr53 dB and L'nT,w+ CI50 dB was reached. Doubling of the concrete mass added a marginal improvement. With concrete toppings and suspended ceiling it is possible to reach the goal in airborne and impact sound insulation. The best result was achieved by combining of additional mass and different construction layers. KEYWORDS: Acoustics, acoustic insulation, light weight floor, timber floor, timber-concrete composite.
Schwitter, BK, Tarazi, J, Parker, AE & Mahon, SJ 1970, 'Assessing the effects of field plates in an AlGaN/GaN-on-SiC HEMT model extraction', 2014 1st Australian Microwave Symposium (AMS), 2014 1st Australian Microwave Symposium (AMS), IEEE.
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Shafiq, H, McGregor, C & Murphy, B 1970, 'The Impact of Cervical Manipulation on Heart Rate Variability', 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Chicago, IL, pp. 3406-3409.
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Shariati, N, Rowe, WST & Ghorbani, K 1970, 'Highly sensitive rectifier for efficient RF energy harvesting', 2014 44th European Microwave Conference, 2014 44th European Microwave Conference (EuMC), IEEE, Rome, Italy, pp. 1190-1193.
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© 2014 European Microwave Association. RF (Radio Frequency) energy harvesting is a promising technique to provide a sustainable energy source for the long-term conservation of the environment and the global economy. To address this, we proposed an efficient rectifier over a wide low input RF power range (-40 to -10 dBm) for broadcasting band (520- 590 MHz) to determine the usefulness of exploiting freely available RF energy sources in this band. The input reflection coefficient and rectified output power demonstrate the practical feasibility of this low-power rectification technique. Power conversion efficiency (PCE) of 53% and 1.5% are achieved for a single-tone input power of -10 dBm and -40 dBm respectively. Therefore, this innovative technique has the potential to generate a viable perpetual energy source for low power applications in urban environments.
Sharma, N, Pal, U & Blumenstein, M 1970, 'A study on word-level multi-script identification from video frames', 2014 International Joint Conference on Neural Networks (IJCNN), 2014 International Joint Conference on Neural Networks (IJCNN), IEEE, Beijing, China, pp. 1827-1833.
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© 2014 IEEE. The presence of multiple scripts in multi-lingual document images makes Optical Character Recognition (OCR) of such documents a challenging task. Due to the unavailability of a single OCR system which can handle multiple scripts, script identification becomes an essential step for choosing the appropriate OCR. Although, there are various techniques available for script identification from handwritten and printed documents having simple backgrounds, however script identification from video frames has been seldom explored. Video frames are coloured and suffer from low resolution, blur, complex background and noise to mention a few, which makes the script identification process a challenging task. This paper presents a study of various combinations of features and classifiers to explore whether the traditional script identification techniques can be applied to video frames. A texture based feature namely, Local Binary Pattern (LBP), Gradient based features namely, Histogram of Oriented Gradient (HoG) and Gradient Local Auto-Correlation (GLAC) were used in the study. Combination of the features with SVMs and ANNs where used for classification. Three popular scripts, namely English, Bengali and Hindi were considered in the present study. Due to the inherent problems with the video, a super resolution technique was applied as a pre-processing step. Experiments show that the GLAC feature has performed better than the other features, and an accuracy of 94.25% was achieved when testing on 1271 words from three different scripts. The study also reveals that gradient features are more suitable for script identification than the texture features when using traditional script identification techniques on video frames.
Shen, H, Yu, S-I, Yang, Y, Meng, D & Hauptmann, A 1970, 'Unsupervised Video Adaptation for Parsing Human Motion', Lecture Notes in Computer Science - Computer Vision – ECCV 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, European Conference on Computer Vision, Springer International Publishing, Switzerland, pp. 347-360.
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Sheng, D, Zhao, G, Zhang, S & Niu, F 1970, 'Possible frost heave mechanisms in an unsaturated high-speed railway formation', UNSATURATED SOILS: RESEARCH & APPLICATIONS, VOLS 1 AND 2, 6th International Conference on Unsaturated Soils (UNSAT), CRC Press, Sydney, AUSTRALIA, pp. 3-14.
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Shi, S, Ni, W, Liu, RP, Li, S & Tian, J 1970, 'A new hybrid ARQ protocol for two-way relay networks', 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), IEEE, Sydney, NSW, Australia, pp. 646-651.
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© 2014 National Institute of Information and Communicatio. In order to improve the throughput, robustness and resource utilization of relay network, we develop a new high-efficiency and stable two-way relay system with double antenna relay node, which employs combining Maximum Likelihood(ML) detection and Network Coding during access and broadcast stage respectively. It is not sensitive to link asymmetry compare with physical network coding(PNC), and can improve throughput by 50% compare with traditional three time slot relay network. This paper also employs and develops a novel automatic repeat request(ARQ) strategy to retransmit the corrupt packet, by using combination at the receiver, the users can recover the corrupt packet with negligible retransmission overhead. Numerical analysis and simulation results demonstrate that our proposed system can get a remarkable throughput improvement.
Shivakumara, P, Sharma, N, Pal, U, Blumenstein, M & Tan, CL 1970, 'Gradient-Angular-Features for Word-wise Video Script Identification', 2014 22nd International Conference on Pattern Recognition, 2014 22nd International Conference on Pattern Recognition (ICPR), IEEE, Sweden, pp. 3098-3103.
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© 2014 IEEE. Script identification at the word level is challenging because of complex backgrounds and low resolution of video. The presence of graphics and scene text in video makes the problem more challenging. In this paper, we employ gradient angle segmentation on words from video text lines. This paper presents new Gradient-Angular-Features (GAF) for video script identification, namely, Arabic, Chinese, English, Japanese, Korean and Tamil. This work enables us to select an appropriate OCR when the frame has words of multi-scripts. We employ gradient directional features for segmenting words from video text lines. For each segmented word, we study the gradient information in effective ways to identify text candidates. The skeleton of the text candidates is analyzed to identify Potential Text Candidates (PTC) by filtering out unwanted text candidates. We propose novel GAF for the PTC to study the structure of the components in the form of cursiveness and softness. The histogram operation on the GAF is performed in different ways to obtain discriminative features. The method is evaluated on 760 words of six scripts having low contrast, complex background, different font sizes, etc. in terms of the classification rate and is compared with an existing method to show the effectiveness of the method. We achieve 88.2% average classification rate.
Shrestha, R & Crews, K 1970, 'Development of engineered bamboo', WCTE 2014 - World Conference on Timber Engineering, Proceedings, World Conference on Timber Engineering (WCTE), Quebec City, Canada.
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Bamboo is one of the fastest growing plants and has mechanical properties similar to timber. Application of bamboo in construction is, however, limited to low cost housing and temporary structures due to a number of growth characteristics such as irregular shapes, hollow circular cross-sections, etc. To overcome these limitations in bamboo, an experimental study was undertaken to investigate the potential of developing an engineered bamboo product by cutting bamboo into smaller strips and gluing them together into rectangular cross-sections. Results of the tests showed that higher strength and stiffness and much lower variation in these properties, compared to natural bamboo, can be achieved when bamboo is fabricated into such an engineered product.
Shrestha, R & Crews, KI 1970, 'Development of engineered bamboo using a low-tech method', Proceedings of the 23rd Australasian Conference on the Mechanics of Structures and Materials, Australasian Conference on the Mechanics of Structures and Materials, Southern Cross University, Byron Bay, Australia, pp. 613-618.
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Bamboo is one of the fastest growing plants and has mechanical properties similar to softwood timber. Bamboo has been commonly used for many years as a traditional construction material for low rise houses, foot bridges, roofs and construction platforms, especially in Asia and Latin America. The main reasons for the popularity of bamboo in construction can be attributed to its low cost, general availability locally and adequacy of simple, local tools and skills for fabrication.Application of bamboo in construction is, however, normally limited to low cost housing and temporary structures due to a number of factors including irregular shapes, hollow circular cross-sections and durability issues. This paper presents the results of an investigation into production of an engineered bamboo product using a low tech method. Bamboo culms were cut into smaller strips and were re-constituted into rectangular beam sections by gluing. Such a process overcomes the presence of the inherent hollow core and randomises the inter-nodes and other growth characteristics found in natural bamboo – in much the same way that engineered wood products such as plywood and LVL are produced. Flexural properties of the manufactured engineered bamboo were then compared with natural bamboo. Higher flexural strength and stiffness and lower variation in these properties, compared to natural bamboo, were achieved by re-constituting the bamboo into a manufactured product.
Shrestha, R, Lewis, K & Crews, KI 1970, 'Introduction to cross laminated timber and development of design procedures for Australia and New Zealand', Proceedings of the 23rd Australasian Conference on the Mechanics of Structures and Materials (ACMSM23), Australasian Conference on the Mechanics of Structures and Materials, Southern Cross University, Byron Bay, Australia.
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Cross-laminated timber (CLT) is an engineered wood product which is gaining popularity in Europe and North America as a sustainable alternative to concrete and steel construction in commercial and multi-residential buildings. CLT is a panel type product made up of 3 or more layers of timber boards each layer running in orthogonal directions and can be used as wall or floor panels.Investment in sustainable softwood plantations over the past few decades has meant that there is now an abundant supply of renewable timber resources ready to be utilized, to produce light weight buildings with low carbon footprints, smaller foundations and transport requirements and increased speed and ease of construction.There is an increasing interest within the construction industry in Australia to start producing CLT panels. Research at the University of Technology Sydney has shown that CLT panels manufactured within Australia from Australian grown timber can compete with international products. CLT floor panels have been found to have significant strength to weight benefits, the potential to be used as two-way spans, higher than predicted char ratios and can comply with Building Code of Australia (BCA) requirements for acoustic design.This paper presents an overview of research and work completed to date, and a discussion of issues that have been identified and addressed to establish design procedures for CLT to meet Australian building standards and code requirements.
Shrestha, S, Gengfa Fang, Dutkiewicz, E & Xiaojing Huang 1970, 'Addressing Hidden Terminals in WLANs with Zero Forcing Coordinated Beamforming', 2014 14th International Symposium on Communications and Information Technologies (ISCIT), 2014 14th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Incheon Metropolitan City, Incheon, SOUTH KOREA, pp. 249-253.
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© 2014 IEEE. We present here a new technique that can be used to address a well-known Hidden Terminal problem in Wireless Local Area Networks. Specifically, Zero Forcing Coordinated Beamforming can be applied, in a hidden terminal scenario, in order to null the signal of the interfering transmitter so that desired transmission can take place without collision at the receiver. Basically, a precoding range of a receiver is used as a determinant in order to take a nulling decisions based on the notion that a successful transmission depends on the interference free condition at the receiver. We demonstrate the feasibility of the approach in an USRP2/GNURadio test-bed prototype. Our scheme improves the SNR and Effective SNR from about 5 to 11 dB in a hidden terminal scenario and maintains collision free simultaneous transmissions.
Siahaan, F, Indraratna, B & Rujikiatkamjorn, C 1970, 'Three dimensional modelling of the behaviour of stone columns using the discrete element method', Geomechanics from Micro to Macro, Vols I and II, 3rd International Symposium on Geomechanics from Micro to Macro, CRC Press, Univ Cambridge, Cambridge, ENGLAND, pp. 553-558.
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Sichilalu, S, Xia, X & Zhang, J 1970, 'Optimal Scheduling Strategy for a Grid-connected Photovoltaic System for Heat Pump Water Heaters', Energy Procedia, 6th International Conference on Applied Energy (ICAE), Elsevier BV, Taipei, TAIWAN, pp. 1511-1514.
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Silitonga, AS, Ong, HC, Mahlia, TMI, Masjuki, HH & Chong, WT 1970, 'Biodiesel Conversion from High FFA Crude Jatropha Curcas, Calophyllum Inophyllum and Ceiba Pentandra Oil', Energy Procedia, 6th International Conference on Applied Energy (ICAE), Elsevier BV, Taipei, TAIWAN, pp. 480-483.
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Sinha, A & Wang, J 1970, 'An implementation of the path integrator mechanism of head direction cells for bio-mimetic navigation', 2014 International Joint Conference on Neural Networks (IJCNN), 2014 International Joint Conference on Neural Networks (IJCNN), IEEE, Beijing, pp. 1984-1991.
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© 2014 IEEE. Head direction cells are thought to be an integral part of the neural navigation system. These cells track the agent's current head direction irrespective of the host's location. In doing so, they process a combination of inputs: angular velocity and visual inputs are major effectors; to correctly encode the agent's current heading. There are close to fifteen models of head direction cell systems found in literature today. Very few of these models have been implemented for bio-mimetic navigation in robots. In this paper, we describe an implementation of the head direction cell system on the robot operating system (ROS) robotic platform as a first step towards a bio-mimetic navigation system for Willow Garage's personal robot 2 (PR2) robot.
Siwakoti, YP & Town, G 1970, 'Improved modulation Technique for voltage fed quasi-Z-source DC/DC converter', 2014 IEEE Applied Power Electronics Conference and Exposition - APEC 2014, 2014 IEEE Applied Power Electronics Conference and Exposition - APEC 2014, IEEE, Fort Worth, TX, USA, pp. 1973-1978.
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A new shoot-through pulse width modulation (PWM) technique for voltage fed quasi-Z-source DC/DC converters is presented. One advantage of the technique is it minimizes switching losses in the converter by minimizing the number of switching commutations of the active devices in the intermediate H-bridge. The duration of the active and shoot-through states are independently controllable, allowing the shoot-through duty cycle to reach its maximum limit (D st, max = 0.5), thus enabling a high voltage gain suitable for applications with renewable energy sources (fuel cells, photovoltaics) and other applications requiring a large voltage boost. In addition, the switches achieve zero voltage switching (ZVS) which reduce EMI and improves efficiency of the converter. A 500W prototype converter was implemented demonstrating improved performance with the new modulation technique. © 2014 IEEE.
Siwakoti, YP, Blaabjerg, F, Loh, PC & Town, GE 1970, 'A high voltage gain quasi Z-source isolated DC/DC converter.', ISCAS, International Symposium on Circuits and Systems Nano-Bio Circuit Fabrics and Systems (ISCAS), IEEE, pp. 2441-2444.
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A compact quasi-Z-source DC/DC converter is presented with high voltage gain, isolated output, and improved efficiency. The improvements in size and performance were achieved by using a square wave inverter with only two output switches driving an isolating transformer in push-pull mode, followed by a voltage doubling output rectifier. The converter is well-suited to applications requiring a high voltage gain, especially renewable energy sources such as photovoltaic and fuel-cell power supplies. To demonstrate the converter's performance a prototype designed to output 400 V at 500 W was constructed and tested. The efficiency at full load varied from 89.0% to 97.4% as the input voltage changed from 44 V to 82 V. © 2014 IEEE.
Siwakoti, YP, Loh, PC, Blaabjerg, F & Town, G 1970, 'Y-source impedance network', 2014 IEEE Applied Power Electronics Conference and Exposition - APEC 2014, 2014 IEEE Applied Power Electronics Conference and Exposition - APEC 2014, IEEE, Fort Worth, TX, USA, pp. 3362-3366.
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This paper introduces a Y-shaped impedance network for realizing converters that demand a high voltage gain while using a small duty ratio. To achieve that, the proposed network uses a tightly coupled transformer with three windings, whose obtained gain is presently not matched by existing networks operated at the same duty ratio. This capability has been demonstrated by mathematical derivation for the proposed network in comparison with other recently reported networks. To further prove the network performance, a single-switch dc-dc converter has been implemented with the network, before testing it experimentally. The results obtained clearly verify the network performance in addition to its higher power density that can generally be achieved by coupled magnetics. © 2014 IEEE.
Siwakoti, YP, Loh, PC, Blaabjerg, F & Town, GE 1970, 'Effects of leakage inductances on magnetically-coupled impedance-source networks', 2014 16th European Conference on Power Electronics and Applications, 2014 16th European Conference on Power Electronics and Applications (EPE'14-ECCE Europe), IEEE, Lappeenranta, Finland.
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© 2014 IEEE. Coupled inductors have lately been used with impedance-source networks for keeping their shoot-through times short, while providing higher voltage boosts. The parameter that is critical to the operation of such impedance network based converter with coupled inductors is the leakage inductances. However, the role of leakage inductances and its effect on the converter performance is often overlooked. This paper analyzes the effects of leakage inductances and demonstrates experimentally how the presence of leakage inductances degrades the performance of the converter.
Siwakoti, YP, Town, GE, Loh, PC & Blaabjerg, F 1970, 'Y-source impedance-network-based isolated boost DC/DC converter', 2014 International Power Electronics Conference (IPEC-Hiroshima 2014 - ECCE ASIA), 2014 International Power Electronics Conference (IPEC-Hiroshima 2014 ECCE-ASIA), IEEE, Hiroshima, Japan, Japan, pp. 1801-1805.
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A dc-dc converter with very high voltage gain is proposed in this paper for any medium-power application requiring a high voltage boost with galvanic isolation. The proposed converter topology can be realized using only two switches. With this topology a very high voltage boost can be achieved even with a relatively low duty cycle of the switches, and the gain obtainable is presently not matched by any existing impedance network based converter operated at the same duty ratio. The proposed converter has a Y-source impedance network to boost the voltage at the intermediate dc-link side and a push-pull transformer for square-wave AC inversion and isolation. The voltage-doubler rectifier provides a constant dc voltage at the output stage. A theoretical analysis of the converter is presented, supported by simulation and experimental results. A 250 W down-scaled prototype was implemented in the laboratory to demonstrate the feasibility and performance of the proposed converter topology. © 2014 IEEE.
Siwakoti, YP, Town, GE, Loh, PC & Blaabjerg, F 1970, 'Y-source inverter', 2014 IEEE 5th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 2014 IEEE 5th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), IEEE, Galway, Ireland.
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This paper introduces a new 3-phase Y-source inverter whose gain is presently not matched by classical impedance-network-based inverters operating at the same duty ratio. The proposed network uses a tightly coupled transformer with three windings. By squeezing the shoot-through range while keeping higher boost, the inverter can operate at a higher modulation index, thereby minimizing switching device stress and providing better output power quality. In addition, the inverter has more degrees of freedom for setting the voltage gain and modulation index than other classical impedance-source networks. This design flexibility was proven mathematically, and is supported by simulations carried out to prove the concept and validate the analysis. © 2014 IEEE.
Skinner, B, Vidal-Calleja, T, Miro, JV, De Bruijn, F & Falque, R 1970, '3D point cloud upsampling for accurate reconstruction of dense 2.5D thickness maps', Australasian Conference on Robotics and Automation, ACRA, Australasian Conference on Robotics and Automation, ARAA, Melbourne University.
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This paper presents a novel robust processing methodology for computing 2.5D thickness maps from dense 3D collocated surfaces. The proposed pipeline is suitable to faithfully adjust data representation detailing as required, from preserving fine surface features to coarse interpretations. The foundations of the proposed technique exploit spatial point-based filtering, ray tracing techniques and the Robust Implicit Moving Least Squares (RIMLS) algorithm applied to dense 3D datasets, such as those acquired from laser scanners. The effectiveness of the proposed technique in overcoming traditional angular aliasing and corruption artifacts is validated with 3D ranging data acquired from internal and external surfaces of exhumed water pipes. It is shown that the resulting 2.5D maps can be more accurately and completely computed to higher resolutions, while significantly reducing the number of raytracing errors when compared with 2.5D thickness maps derived from our current approach.
Soeriyadi, AH, Zhu, Y, Reece, P & Gooding, JJ 1970, 'Modification of porous silicon rugate filters through thiol-yne photochemistry', AIP Conference Proceedings, 5TH NANOSCIENCE AND NANOTECHNOLOGY SYMPOSIUM (NNS2013), AIP Publishing LLC, Surabaya, INDONESIA, pp. 35-38.
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Sofatzis, RJ, Afshar, S & Hamilton, TJ 1970, 'Rotationally invariant vision recognition with neuromorphic transformation and learning networks', 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, pp. 469-472.
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In this paper we present a biologically inspired rotationally-invariant end-to-end recognition system demonstrated in hardware with a bitmap camera and a Field Programmable Gate Array (FPGA). The system integrates the Ripple Pond Network (RPN), a neural network that performs image transformation from two dimensions to one dimensional rotationally invariant temporal patterns (TPs), and the Synaptic Kernel Adaptation Network (SKAN), a neural network capable of unsupervised learning of a spatio-temporal pattern of input spikes. Our results demonstrate rapid learning and recognition of simple hand gestures with no prior training and minimal usage of FPGA hardware. © 2014 IEEE.
Sofatzis, RJ, Afshar, S & Hamilton, TJ 1970, 'The Synaptic Kernel Adaptation Network', 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, pp. 2077-2080.
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In this paper we present the Synaptic Kernel Adaptation Network (SKAN) circuit, a dynamic circuit that implements Spike Timing Dependent Plasticity (STDP), not by adjusting synaptic weights but via dynamic synaptic kernels. SKAN performs unsupervised learning of the commonest spatio-temporal pattern of input spikes using simple analog or digital circuits. It features tunable robustness to temporal jitter and will unlearn a pattern that has not been present for a period of time using tunable 'forgetting' parameters. It is compact and scalable for use as a building block in a larger network to form a multilayer hierarchical unsupervised memory system which develops models based on the temporal statistics of its environment. Here we show results from simulations as well present digital and analog implementations. Our results show that the SKAN is fast, accurate and robust to noise and jitter. © 2014 IEEE.
Sohaib, O & Kang, K 1970, '126The Influence of Culture on iTrust Aspects in B2C E-Business', CRAFTING GLOBAL COMPETITIVE ECONOMIES: 2020 VISION STRATEGIC PLANNING & SMART IMPLEMENTATION, VOLS I-IV, International Business Information Management, IBIMA publishing, Milan, Italy, pp. 1239-1249.
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This research suggests an online interpersonal trust (iTrust) to better understand the buyer cognitive and affective reactions towards online purchasing. To complete this main goal, this study provides proposition on the effect of culture (Individualistic and collectivistic) on online interpersonal trust (cognitive and affect-based trust) related to web design and buyer behavior aspects towards purchase intention in B2C e-business website. It is important to compare online shopping perceptions between two different groups because the Individualistic buyers‟ satisfaction may be completely ineffective in producing a desired response in the Collectivistic.
Sohaib, O & Kang, K 1970, 'The impact of religiosity on interpersonal trust in B2C context: A cross-culture analysis', Proceedings - Pacific Asia Conference on Information Systems, PACIS 2014, Pacific Asia Conference on Information Systems, AIS Electronic Library (AISeL), Chengdu, China, pp. 1-14.
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Religion has long been playing a significant role in influencing human behavior. However, its business value as a predictor of buyer behavior has not been sufficiently examined in e-commerce context. The main contribution of this paper is to show the connection between the degree of religiosity and interpersonal trust (cognitive and affect-based trust) in Business to-Consumer (B2C) e-commerce. The study uses responses obtained from a convenient sample from Muslims and Christians in two different societies, Pakistan and Australia respectively. The data of the survey were analyzed using Partial Least Square (PLS) approach. The results indicate that interpersonal trust related to religiosity in a web-based retailer can vary with culture, at least as represented by affiliation to a religion. It is suggested that religiosity should be considered as possible determinant of trust in online shopping in the future.
Sorourian, S, Keshavarzi, A, Ball, J & Samali, B 1970, 'Location of the maximum scouring depth at the outlet of partially-blocked and non-blocked box culvert', RIVER FLOW 2014, International Conference on Fluvial Hydraulics (River Flow), CRC Press/Balkema, Lausanne, Switzerland, pp. 1475-1480.
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Among various hydraulic structures, culvert is the most likely one which usually blocks by the debris that are carrying by flow during large flood events. The size of the structure and its location where a waterway crosses a road or railway increases the possibility of clogging. The blockage of culvert accelerates bed scouring at the outlet hence affects bed scouring profile. This leads to increase the risk of culvert collapsed and produce different kinds of damages to the society. The present study concerns the effect of upstream blockage on the scouring profile at the outlet of a box culvert. Therefore, the experimental program was designed to investigate the relationship between the scouring geometry and blockage ratio. The experimental tests were carried out under non-blocked and partially blocked conditions. The sediment material used in this study was uniform non-cohesive sand material. Results showed that the scouring bed profile is different in partially blocked condition when compared to the non-blocked condition. Additionally it was found that the maximum scouring depth in a partially blocked culvert occurred at a distance very close to the outlet of the box culvert. © 2014 Taylor & Francis Group, London.
Sorourian, S, Keshavarzi, A, Samali, B & Ball, J 1970, 'Prediction of Scouring Depth at the Outlet of Partially Blocked Box Culvert', World Environmental and Water Resources Congress 2014, World Environmental and Water Resources Congress 2014, American Society of Civil Engineers, Portland, Oregon, USA, pp. 1352-1361.
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© 2014 American Society of Civil Engineers. Culverts are built at a location in a waterway that crosses a road or railway. The narrowing cross section of waterway creates a limitation to flow passage and therefore blockage occurs during flood events with accumulation of debris at the inlet. The blockage of the culvert can accelerate bed scouring and consequently causes failure of the culvert. It subsequently produces high damage to private properties and public assets. This article concerns scouring at the outlet of partially blocked culverts. In this context the blockage of culverts is studied as an important factor in the scouring pattern of culverts. Therefore, experimental tests were conducted to investigate the effects of culverts blockage on scouring downstream of a culvert. The experimental program was designed to investigate the relationship between the maximum scour depth, blockage ratio of the culvert, and flow characteristics. The experimental tests were carried under nonblocked and partially blocked conditions. The sediment material used in this study was uniform noncohesive sand particles. Results showed that the scoured area and maximum scour depth increases in partially blocked condition compared with the nonblocked condition. The results were compared with the previous developed models, and it was found that the previous model predicts scouring depth less than the scouring depth at blocked condition.
Stewart, M & Mueller, J 1970, 'Terrorism risks for bridges in a multi-hazard environment', Bridge Maintenance, Safety, Management and Life Extension - Proceedings of the 7th International Conference of Bridge Maintenance, Safety and Management, IABMAS 2014, CRC Press, pp. 746-753.
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The paper will assess terrorist threats to bridge infrastructure and the cost-effectiveness of protective and counter-terrorism measures. This analysis will consider threat likelihood, cost of security measures, risk reduction and expected losses to compare the costs and benefits of protective measures to bridges to decide which protective measures are cost-effective. In this paper, a break-even cost-benefit analysis determines the minimum probability of a successful attack, absent the protective measures, that is required for the benefit of the protective measures to equal their cost. It was found that unless terrorist threat probabilities are high, then typical protective measures are not cost-effective. Bridges and other critical infrastructure are subject to a range of natural and man-made hazards, and terrorism is most likely not as important a threat as natural hazards. Economic risks due to terrorism are then compared with risks from flood and seismic hazards. It was found that economic risks to bridges from floods, earthquakes, and ship impact are significantly higher than threats from terrorism. © 2014 Taylor & Francis Group.
Stolar, MN, Lech, M & Burnett, IS 1970, 'Optimized Multi-Channel Deep Neural Network with 2D Graphical Representation of Acoustic Speech Features for Emotion Recognition', 2014 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ICSPCS), International Conference on Signal Processing and Communication Systems, Institute of Electrical and Electronics Engineers Inc., Gold Coast, Australia, pp. 1-6.
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This study investigates the effectiveness of speech emotion recognition using a new approach called the Optimized Multi-Channel Deep Neural Network (OMC-DNN), The proposed method has been tested with input features given as simple 2D black and white images representing graphs of the MFCC coefficients or the TEO parameters calculated either from speech (MFCC-S, TEO-S) or glottal waveforms (MFCC-G, TEO-G). A comparison with 6 different single-channel benchmark classifiers has shown that the OMC-DNN provided the best performance in both pair-wise (emotion vs. neutral) and simultaneous multiclass recognition of 7 emotions (anger, boredom, disgust, happiness, fear, sadness and neutral). In the pair-wise case, the OMC-DNN outperformed the single-channel DNN by 5%-10% depending on the feature set. In the multiclass case, the OMC-DNN outperformed or matched the singlechannel equivalents for all features. The speech spectrum and the glottal energy characteristics were identified as two important factors in discriminating between different types of categorical emotions in speech.
Stolar, MN, Lech, M & Burnett, IS 1970, 'Using the Influence Model Coefficients and the Random Walk to Predict Emotional Interactions in Parent-Child Conversations', 2014 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ICSPCS), International Conference on Signal Processing and Communication Systems, IEEE, Gold Coast, AUSTRALIA.
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© 2014 IEEE. This study introduces an interactive random walk as a new method for predicting sequences of four different construct states (positive emotion, negative emotion, neutral emotion and silence) of speakers in parent-child conversations. The proposed approach used the emotional transition probability arrays and the Influence Model (IM) coefficients to support the interacting random walk predictions. The interactive random walk was applied to generate sequences of speakers' states using higher order emotional transition probabilities. The new approach was tested on 63 different parent-child conversations conducted in naturalistic (not-acted) way. The prediction outcomes were visualized using the 2D random walk on a graph approach. The prediction quality was measured using the relative error between the actual and the predicted transition probabilities as well as, the error between the actual and the predicted end-point position on the 2D graph of emotional states. A comparison between the proposed random walk supported by the IM coefficients and the classical approach without the IM coefficients showed that proposed method generally offers improved results in terms of the prediction error and the endpoint position but at the cost of slower convergence rates.
Su, D & Miro, JV 1970, 'An ultrasonic/RF GP-based sensor model robotic solution for indoors/outdoors person tracking', 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), IEEE, Singapore, Singapore, pp. 1662-1667.
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© 2014 IEEE. An non-linear Bayesian regression engine for robotic tracking based on an ultrasonic/RF sensor unit is presented in this paper. The proposed system is able to maintain systematic tracking of a leading human in indoor/outdoor settings with minimalistic instrumentation. Compared to popular camera based localization system the sonar array/RF based system has the advantage of being insensitive to background light intensity changes, a primary concern in outdoor environments. In contrast to single-plane laser range finder based tracking the proposed scheme is able to better adapt to small terrain variations, while at the same time being a significantly more affordable proposition for tracking with a robotic unit. A key novelty in this work is the utilisation of Gaussian Process Regression (GPR) to build a model for the sensor unit, which is shown to compare favourably against traditional linear triangulation approaches. The covariance function yield by the GPR sensor model also provides the additional benefit of outlier rejection. We present experimental results of indoors and outdoors tracking by mounting the sensor unit on a Garden Utility Transportation System (GUTS) robot and compare the proposed approach with linear triangulation which clearly show the inference engine capability to generalise relative localisation of human and a marked improvement in tracking accuracy and robustness.
Su, X, Zhang, M, Ye, D & Bai, Q 1970, 'A dynamic coordination approach for task allocation in disaster environments under spatial and communicational', AAAI Workshop - Technical Report, pp. 35-41.
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Dynamic coordination for task allocation in disaster environments under spatial and communicational constraints is a challenging issue in both research and applications. To this end, this paper presents a coordinated task allocation approach for disaster environments by considering spatial and communicational constraints, dynamic features of environments as well as heterogenous capabilities of agents. The proposed approach consists of an information collection mechanism, a group task allocation mechanism and a group coordination mechanism. Initially, the information collection mechanism is applied to help agents in communication networks to prune their communication connections and elect one agent in each communication network to be the network leader in a decentralised manner so as to facilitate the network leader to collect information for task allocation under communicational constraints. Then, the group task allocation mechanism is employed by each network leader to allocate tasks and agents in its network to groups with suitable spatial ranges by considering spatial and communicational constraints and heterogenous capabilities of agents. During task execution, the group coordination mechanism is employed by isolated groups to periodically adjust group members (agents) at assembly points so as to achieve continuous coordination to handle dynamic features of environments. Experimental results demonstrate that the proposed approach can have better performance than some existing approaches in terms of information collection and coordination for task allocation in disaster environments under spatial and communicational constraints.
Subrahmanian, VS, Chen, SH, Zaiane, O, Martin, H, Jo, GS, Cao, J, Liu, H, Xu, G & Nejdl, W 1970, 'Welcome from BESC 2014 chairs', 2014 International Conference on Behavioral, Economic, and Socio-Cultural Computing (BESC2014), 2014 International Conference on Behavior, Economic and Social Computing (BESC), IEEE.
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Sun, F, Liu, B, Zhou, H, Gui, L & Chen, J 1970, 'A QoE supportive distributed caching management for vehicular video streaming in cellular networks', 2014 IEEE/CIC International Conference on Communications in China (ICCC), 2014 IEEE/CIC International Conference on Communications in China (ICCC), IEEE, pp. 846-850.
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© 2014 IEEE. The distributed caching management enabled wireless networking technology can greatly improve the data storage and transmission efficiency of wireless users and correspondingly the users' quality of experience (QoE). How to alleviate the pressure on network access while ensuring the content consistency is still a challenge. In this paper, we investigate the vehicular users oriented caching management scenario which focuses on the in-motion video streaming in cellular networks. Specifically, we propose a QoE supportive distributed caching management approach considering the cache constraint of cellular networks, to fulfill more mobile users' requests for video streaming while ensuring the basic service experience of users. By introducing the QoE evaluation model using the verified empirical data, and establishing the mathematic relationship between the associated streaming bit-rate and actual storage space, we formulate the dynamic caching management for in-motion video streaming in cellular networks into a constrained optimization problem which is capable to be solved by the Lagrange Multiplier method. Simulation results indicate that the proposed dynamic caching approach can improve the users' satisfaction ratio by up to 40%.
Sun, L, Awadallah, M, Chi, L & Zhang, N 1970, 'An Electric Scooter with Super-Capacitor Drive and Regenerative Braking', SAE Technical Paper Series, SAE 2014 World Congress & Exhibition, SAE International, Detroit, Michigan, USA.
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This paper presents a smart electric scooter system consisting of a microprocessor based vehicle controller (integrating an embedded regenerative braking controller), a 300W Permanent Magnet (PM) DC motor, two low-power DC-DC converters to form a higher power DC-DC converter pack, a motor controller, a supercapacitor bank and a capacitor cell balancing sub-system. During acceleration or forward motoring mode, the vehicle controller sets the DC motor into motoring mode to further utilizing motor controller regulate wheel speed and acceleration torque, whereas during deceleration or forward braking mode, sets the DC motor into braking mode and further utilizing regenerative braking controller regulate wheel speed and braking torque, as well as functions as a constant current (whose reference value is adjustable via a potentiometer) generator to charge the supercapacitor bank in a controllable fashion, hence not only successfully replacing frictional braking to certain degree, but also increasing the total energy efficiency dramatically owing to the low internal resistance and larger capacitance of the supercapacitor compared with other conventional regenerative braking systems via batteries. General structure of the smart system, control principle of the controllers, realization of measurement platform, experimental test setup as well as validation with results are all presented within this paper. Copyright © 2014 SAE International.
Sun, L, Dong, H, Hussain, FK, Hussain, OK, Ma, J & Zhang, Y 1970, 'A Hybrid Fuzzy Framework for Cloud Service Selection', 2014 IEEE International Conference on Web Services, 2014 IEEE International Conference on Web Services (ICWS), IEEE, Alaska, USA, pp. 313-320.
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Sun, Y, Wang, W, Qin, J, Zhang, Y & Lin, X 1970, 'SRS', Proceedings of the VLDB Endowment, International Conference on Very Large Databases, Association for Computing Machinery (ACM), Kohala Coast, Hawaii, pp. 1-12.
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Nearest neighbor searches in high-dimensional space have many important applications in domains such as data mining, and multimedia databases. The problem is challenging due to the phenomenon called 'curse of dimensionality'. An alternative solution is to consider algorithms that returns a c -approximate nearest neighbor ( c -ANN) with guaranteed probabilities. Locality Sensitive Hashing (LSH) is among the most widely adopted method, and it achieves high efficiency both in theory and practice. However, it is known to require an extremely high amount of space for indexing, hence limiting its scalability. In this paper, we propose several surprisingly simple methods to answer c -ANN queries with theoretical guarantees requiring only a single tiny index. Our methods are highly flexible and support a variety of functionalities, such as finding the exact nearest neighbor with any given probability. In the experiment, our methods demonstrate superior performance against the state-of-the-art LSH-based methods, and scale up well to 1 billion high-dimensional points on a single commodity PC.
Suwanwiwat, H, Nguyen, V, Blumenstein, M & Pal, U 1970, 'Off-Line Handwritten Bilingual Name Recognition for Student Identification in an Automated Assessment System', 2014 14th International Conference on Frontiers in Handwriting Recognition, 2014 14th International Conference on Frontiers in Handwriting Recognition (ICFHR), IEEE, Greece, pp. 271-276.
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© 2014 IEEE. The Student name Identification System (SIS) proposed here was investigated for English and Thai languages combined. The proposed system recognises each name by using an approach for whole word recognition. In the proposed system, the Gaussian Grid Feature (GGF), and Modified Direction Feature (MDF), together with a proposed hybrid feature extraction technique called Water Reservoir, Loop and Gaussian Grid Feature (WRLGGF) were investigated on full word contour images of each name sample. Artificial neural networks and support vector machines were used as classifiers. An encouraging recognition accuracy of 99.25% was achieved employing the proposed technique compared to 98.59% for GGF, and 96.63% using MDF.
Suwanwiwat, H, Nguyen, V, Blumenstein, M & Pal, U 1970, 'Off-line handwritten Thai name recognition for student identification in an automated assessment system', 2014 International Joint Conference on Neural Networks (IJCNN), 2014 International Joint Conference on Neural Networks (IJCNN), IEEE, Beijing, PEOPLES R CHINA, pp. 2347-2353.
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Tafavogh, S, Meng, Q, Catchpoole, DR & Kennedy, PJ 1970, 'Automated Quantitative and Qualitative Analysis of Whole Neuroblastoma Tumour Images for Prognosis', Biomedical Engineering / 817: Robotics Applications, Biomedical Engineering / Robotics Applications, ACTAPRESS, Zurich, Switzerland, pp. 244-251.
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Manual quantitative and qualitative microscopic analysis of cancerous tumours is subject to inter-intra observer variability in pathology. Neuroblastoma is an infant cancer with one of the lowest survival rates. Choosing a proper therapeutic regime for the tumour is highly dependent on determining the tumour aggressiveness level which requires an extensive microscopic analysis. There is an urgent demand from pathologists for reducing the role of microscopic analysis in the process of prognosis and using an automated system to determine the tumour aggressiveness. In this paper, we develop an automated system to address this demand. We propose a novel four-stage hybrid algorithm. First, we develop novel whole slide image partitioning and zooming techniques. Second, we introduce an image enhancement technique to reduce the intensity variation within the tissue images. Third, we deploy a thresholding technique for segmenting the regions of interest. Fourth, we develop a prognosis decision making engine based on a robust clinical prognosis scheme to classify the aggressiveness level using the segmented regions of interest. The performance of the system is evaluated by a pathologist. The system is compared against a state-of-the-Art system, and the results indicate a superiority for our system in grading the tumour with average F-measure 86.77%.
Taib, R, Itzstein, B & Yu, K 1970, 'Synchronising physiological and behavioural sensors in a driving simulator', ICMI 2014 - Proceedings of the 2014 International Conference on Multimodal Interaction, pp. 188-195.
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Accurate and noise robust multimodal activity and mental state monitoring can be achieved by combining physiological, behavioural and environmental signals. This is especially promising in assistive driving technologies, because vehicles now ship with sensors ranging from wheel and pedal activity, to voice and eye tracking. In practice, however, multimodal user studies are confronted with challenging data collection and synchronisation issues, due to the diversity of sensing, acquisition and storage systems. Referencing current research on cognitive load measurement in a driving simulator, this paper describes the steps we take to consistently collect and synchronise signals, using the Orbit Measurement Library (OML) framework, combined with a multimodal version of a cinema clapperboard. The resulting data is automatically stored in a networked database, in a structured format, including metadata about the data and experiment. Moreover, fine-grained synchronisation between all signals is provided without additional hardware, and clock drift can be corrected post-hoc.
Taib, R, Itzstein, B, Yu, K, Mckellar, G & Geers, G 1970, 'The future of driver assistance: Driver mental state monitoring', 21st World Congress on Intelligent Transport Systems, ITSWC 2014: Reinventing Transportation in Our Connected World.
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Driver inattention accounts for 25% of crashes, and cannot be fully addressed through policies or driver assistance systems, because it stems from limited human cognitive capacity. We designed a simulator-based study eliciting dangerous inattention in drivers, and analyzed their body signals to build models of mental states at risk. Such a process could be deployed in vehicles to determine onsets of daydreaming, fatigue and other dangerous mental states which leave too little mental capacity for safe driving. This can inform assistance systems early and lead to dramatically improved road safety.
Taib, R, Yee, D, Chen, F & Liu, W 1970, 'Improved incident management through anomaly detection in historical records', 21st World Congress on Intelligent Transport Systems, ITSWC 2014: Reinventing Transportation in Our Connected World.
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Real-time decision support can significantly help Transport Management Centre (TMC) operators respond to incidents more efficiently and reduce congestion. However, the complexity of road networks, changing demand patterns, and massive volumes of data recorded to date prevented a deep analysis of the situation. The NSW TMC and research organisation NICTA in Sydney have collaborated to identify patterns in historical incident response records, leading to the identification of both anomalies and common patterns among past incidents using advanced machine learning techniques. Such techniques were used to process 15, 465 incident logs, comparing and clustering responses along 15 key characteristics. Abnormally effective or ineffective responses were unveiled, as well as seven generic incident profiles, allowing the TMC to improve its procedures, response plans, and resource allocations. These mechanisms also helped boost early incident outcome prediction, promising benefits for TMCs around the world.
Tam, HHM, Tuan, HD & Che, E 1970, 'Coordinated downlink beamforming in multicell wireless network', 2014 IEEE Fifth International Conference on Communications and Electronics (ICCE), 2014 IEEE Fifth International Conference on Communications and Electronics (ICCE), IEEE, Danang, pp. 83-86.
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We consider the joint design of downlink beamforming vectors in a multicell multi-antenna wireless network to maximise the network sum rate subject to base station power and quality-of-service (QoS) constraints. It is shown that the problem is reformulated by a concave program, for which an efficient iterative procedure of low complexity is then developed.
Tam, HHM, Tuan, HD & Che, E 1970, 'Power minimization in MU-MIMO cellular network under rate constraints', 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), IEEE, pp. 113-117.
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© 2014 IEEE. We consider a multi-user multiple input multiple output (MU-MIMO) cellular network in which each base station (BS) can control its radiation pattern and transmission power to its serving users by adjusting its preceding matrices. Under a cooperative network between BSs, we propose a two-step procedure to minimize the total power consumption of the whole network while every user is guaranteed to be served with at least target data rate. Numerical simulation shows that the proposed procedure have good performance and fast convergence.
Tam, HHM, Tuan, HD, Ngo, DT & Che, E 1970, 'User Pairing and Precoder Design with Han-Kobayashi Transmission Strategy in MU-MIMO Multicell Networks', 2015 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2015 - 2015 IEEE Global Communications Conference, IEEE, San Diego, CA, USA, pp. 1-6.
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© 2015 IEEE. This paper considers the Han-Kobayashi transmission strategy that mitigates the downlink intercell interference in a multiuser multi-input multi-output (MU-MIMO) multicell network. The base station (BS) splits the transmitted data of a user (UE) into a common message and a private message, the former of which is then decoded by a paired UE in another cell so as to reduce the respective cross-cell interference. Our aim here is to develop (i) A pairing rule that determines pairs of UEs to share common messages, and (ii) Optimal precoders at the BSs that maximize either the minimum UE throughput or the network sum-rate. To solve the combinatoric UE pairing problem, we propose a heuristic that pairs UEs with the largest corresponding cross-cell channel gains. This approach ensures that the most significant source of intercell interference is eliminated through common message decoding. We then apply the Frank-and-Wolfe procedure of concave programming to solve the highly nonconvex precoder design problems. We show that this procedure generates a sequence of improved solutions and eventually converges to at least a local optimum. Numerical results confirm the advantages of our proposed solution over the conventional strategy where intercell interference is treated as noise.
Tan, CT, Johnston, A, Bluff, A, Ferguson, S & Ballard, KJ 1970, 'Retrogaming as visual feedback for speech therapy', SIGGRAPH Asia 2014 Mobile Graphics and Interactive Applications, SA'14: SIGGRAPH Asia 2014, ACM, Shenzen Convention & Exhibition Center.
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A key problem in speech therapy is the motivation of patients in repetitive vocalization tasks. One important task is the vocalization of vowels. We present a novel solution by incorporating formant speech analysis into retro games to enable intrinsic motivation in performing the vocalization tasks in a fun and accessible manner. The visuals in the retro games also provide a simple and instantaneous feedback mechanism to the patients' vocalization performance. We developed an accurate and efficient formant recognition system to continuously recognize vowel vocalizations in real time. We implemented the system into two games, Speech Invaders and Yak-man, published on the iOS App Store in order to perform an initial public trial. We present the development to inform like-minded researchers who wish to incorporate real-time speech recognition in serious games.
Tan, CT, Johnston, A, Bluff, A, Ferguson, S & Ballard, KJ 1970, 'Speech invaders & yak-man', SIGGRAPH Asia 2014 Mobile Graphics and Interactive Applications, SA'14: SIGGRAPH Asia 2014, ACM, Shenzen Convention & Exhibition Center.
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Speech therapy is used for the treatment of speech disorders and commonly involves a patient attending clinical sessions with a speech pathologist, as well as performing prescribed practice exercises at home [Ruggero et al. 2012]. Clinical sessions are very effective -- the speech pathologist can carefully guide and monitor the patient's speech exercises -- but they are also costly and timeconsuming. However, the more inexpensive and convenient home practice component is often not as effective, as it is hard to maintain sufficient motivation to perform the rigid repetitive exercises.
Tan, M, Tsang, IW, Wang, L, Vandereycken, B & Pan, SJ 1970, 'Riemannian pursuit for big matrix recovery', 31st International Conference on Machine Learning, ICML 2014, International Conference on Machine Learning, Association for Computing Machinery (ACM), Beijing, pp. 3467-3483.
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Low rank matrix recovery is a fundamental task in many real-world applications. The perfor-mance of existing methods, however, deteriorates significantly when applied to ill-conditioned or large-scale matrices. In this paper, we therefore propose an efficient method, called Riemannian Pursuit (RP), that aims to address these two problems simultaneously. Our method consists of a sequence of fixed-rank optimization problems. Each subproblem, solved by a nonlinear Rieman-nian conjugate gradient method, aims to correct the solution in the most important subspace of increasing size. Theoretically, RP converges linearly under mild conditions and experimental results show that it substantially outperforms existing methods when applied to large-scale and ill-conditioned matrices.
Tan, VYF & Tomamichel, M 1970, 'The third-order term in the normal approximation for the AWGN channel', 2014 IEEE International Symposium on Information Theory, 2014 IEEE International Symposium on Information Theory (ISIT), IEEE, pp. 2077-2081.
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This paper shows that, under the average error probability formalism, the third-order term in the normal approximation for the additive white Gaussian noise channel with a maximal or equal power constraint is at least 1 over 2 log n+O(1). This improves on the lower bound by Polyanskiy-Poor-Verdú (2010) and matches the upper bound proved by the same authors. © 2014 IEEE.
Tarazi, J, Parker, AE, Schwitter, B & Mahon, SJ 1970, 'Thermal modelling of multifinger GaAs/GaN FETs using SPICE', 2014 1st Australian Microwave Symposium (AMS), 2014 1st Australian Microwave Symposium (AMS), IEEE.
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Tareef, A, Al-Ani, A, Nguyen, HT & Chung, YY 1970, 'A novel tamper detection-recovery and watermarking system for medical image authentication and EPR hiding.', EMBC, International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Chicago, USA, pp. 5554-5557.
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© 2014 IEEE. Recently, the literature has witnessed an increasing interest in the study of medical image watermarking and recovery techniques. In this article, a novel image tamper localization and recovery technique for medical image authentication is proposed. The sparse coding of the Electronic Patient Record (EPR) and the reshaped region of Interest (ROI) is embedded in the transform domain of the Region of Non-Interest (RONI). The first part of the sparse coded watermark is use for saving the patient information along with the image, whereas the second part is used for authentication purpose. When the watermarked image is tampered during transmission between hospitals and medical clinics, the embedded sparse coded ROI can be extracted to recover the tampered image. The experimental results demonstrate the efficiency of the proposed technique in term of tamper correction capability, robustness to attacks, and imperceptibility.
Teague, D & Lister, R 1970, 'Longitudinal think aloud study of a novice programmer', Conferences in Research and Practice in Information Technology Series, Australasian Computing Education Conference, Australian Computer Society Inc., Auckland, New Zealand, pp. 41-50.
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Recent research from within a neo-Piagetian perspective proposes that novice programmers pass through the sensorimotor and preoperational stages before being able to reason at the concrete operational stage. However, academics traditionally teach and assess introductory programming as if students commence at the concrete operational stage. In this paper, we present results from a series of think aloud sessions with a single student, known by the pseudonym 'Donald'. We conducted the sessions mainly over one semester, with an additional session three semesters later. Donald first manifested predominately sensorimotor reasoning, followed by preoperational reasoning, and finally concrete operational reasoning. This longitudinal think aloud study of Donald is the first direct observational evidence of a novice programmer progressing through the neo-Piagetian stages.
Teague, D & Lister, R 1970, 'Manifestations of preoperational reasoning on similar programming tasks', Conferences in Research and Practice in Information Technology Series, Australasian Computing Education Conference, Australian Computer Society Inc., Auckland, New Zealand, pp. 65-74.
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In this research paper, we study a simple programming problem that only requires knowledge of variables and assignment statements, and yet we found that some early novice programmers had difficulty solving the problem. We also present data from think aloud studies which demonstrate the nature of those difficulties. We interpret our data within a neo-Piagetian framework which describes cognitive developmental stages through which students pass as they learn to program. We describe in detail think aloud sessions with novices who reason at the neo-Piagetian preoperational level. Those students exhibit two problems. First, they focus on very small parts of the code and lose sight of the 'big picture'. Second, they are prone to focus on superficial aspects of the task that are not functionally central to the solution. It is not until the transition into the concrete operational stage that decentration of focus occurs, and they have the cognitive ability to reason about abstract quantities that are conserved, and are equipped to adapt skills to closely related tasks. Our results, and the neo-Piagetian framework on which they are based, suggest that changes are necessary in teaching practice to better support novices who have not reached the concrete operational stage.
Teague, D & Lister, R 1970, 'Programming', Proceedings of the 2014 conference on Innovation & technology in computer science education - ITiCSE '14, the 2014 conference, ACM Press, Uppsala, Sweden, pp. 285-290.
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Abstract: In this paper, we look at the concept of reversibility, that is, negating opposites, counterbalances, and actions that can be reversed. Piaget identified reversibility as an indicator of the ability to reason at a concrete operational level. We investigate to what degree novice programmers manifest the ability to work with this concept of reversibility by providing them with a small piece of code and then asking them to write code that undoes the effect of that code. On testing entire cohorts of students in their first year of learning to program, we found an overwhelming majority of them could not cope with such a concept. We then conducted think aloud studies of novices where we observed them working on this task and analyzed their contrasting abilities to deal with it. The results of this study demonstrate the need for better understanding our students' reasoning abilities, and a teaching model aimed at that level of reality.
Teng, K, Wang, J, Xu, M & Lu, H 1970, 'Mask Assisted Object Coding with Deep Learning for Object Retrieval in Surveillance Videos', Proceedings of the 22nd ACM international conference on Multimedia, MM '14: 2014 ACM Multimedia Conference, ACM, Orlando, Florida, USA.
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Tennakoon, N, Indraratna, B & Nimbalkar, S 1970, 'Impact of Ballast Fouling on Rail Tracks', Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance, The Second International Conference on Railway Technology: Research, Development and Maintenance, Civil-Comp Press, Ajaccio, Corsica, France, pp. 1-11.
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© Civil-Comp Press, 2014. Ballast fouling is understood as major cause of track deterioration in many countries over the world. It decreases the drainage and load bearing capacity of the ballast layer. A series of large scale hydraulic conductivity tests were conducted with different proportions of fouling to access the drainage capacity of the track. A numerical analysis was conducted using SEEP/W to quantify the drainage capacity of ballast under different degrees of fouling. Subsequently, track drainage classification in relation to the degree of fouling, which is a very useful tool for practical engineers, is presented in this paper. The analysis showed that both the location and extent of fouling played an important role when assessing the overall drainage capacity of track. In order to establish the relationship between the extent of fouling and the associated strength-deformation properties, a series of large scale monotonic triaxial tests were carried out for different levels of fouling for three different confining pressures. Based on the laboratory findings, a novel empirical relationship between the peak deviator stress and VCI has been proposed to assist the practitioner in their preliminary track condition assessment. By considering drainage and strength aspects, a critical level of fouling to assist in track maintenance planning has been considered.
Thakur, CS, Hamilton, TJ, Tapson, J, van Schaik, A & Lyon, RF 1970, 'FPGA implementation of the CAR Model of the cochlea', 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, Melbourne, AUSTRALIA, pp. 1853-1856.
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Thakur, CS, Wright, J, Hamilton, TJ, Tapson, J & van Schaik, A 1970, 'Live demonstration: FPGA implementation of the CAR model of the cochlea', 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, Melbourne, AUSTRALIA, pp. 461-461.
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Thomas, D, Ding, G & Crews, K 1970, 'Sustainable timber use in residential construction: perception versus reality', Energy and Sustainability V, ENERGY AND SUSTAINABILITY 2014, WIT Press, Kuala Lumpur, Malaysia, pp. 399-410.
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Close to 90% of new project homes in NSW, Australia are constructed with reinforced concrete flooring and brick veneer envelope whereas many traditional Australian homes were built of timber floor structures with timber walls and cladding. The adoption of concrete and brick homes originated from a perceived advantage of longevity, low maintenance and thermal comfort. Innovation in wood treatments, wood protection and insulation have provided solutions to these issues so that timber is once again a viable option with added benefits such as environmental sustainability and erection speed. This paper reviews literature and analyses the results of a home occupants survey on the perception of timber use in new homes in NSW, Australia. It also investigates the comparative performance of a timber veneer/structural timber home to a concrete floor/brick veneer home to evaluate whether perception of timber performance matches reality. This paper highlights Australian homeowners reluctance to use timber as a sustainable building product for homes even when they are willing to pay for a more environmentally sustainable home. It also discusses the time and environmental advantages of a timber home over a concrete and brick home based on the results of a test case study.
Thommandram, A, Eklund, JM, McGregor, C, Pugh, JE & James, AG 1970, 'A Rule-Based Temporal Analysis Method for Online Health Analytics and Its Application for Real-Time Detection of Neonatal Spells', 2014 IEEE International Congress on Big Data, 2014 IEEE International Congress on Big Data (BigData Congress), IEEE, Anchorage, AK, pp. 470-477.
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Tinguaro Rodriguez, J, De Los Rios, CF, Montero, J & Lu, J 1970, 'Paired Structures in Logical and Semiotic Models of Natural Language', INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, PT II, International Conference on Information Processing and Management of Uncertainty, Springer International Publishing, Montpellier, France, pp. 566-575.
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The evidence coming from cognitive psychology and linguistics shows that pairs of reference concepts (as e.g. good/bad, tall/short, nice/ugly, etc.) play a crucial role in the way we everyday use and understand natural languages in order to analyze reality and make decisions. Different situations and problems require different pairs of landmark concepts, since they provide the referential semantics in which the available information is understood accordingly to our goals in each context. In this way, a semantic valuation structure or system emerges from a pair of reference concepts and the way they oppose each other. Such structures allow representing the logic of new concepts according to the semantics of the references. We will refer to these semantic valuation structures as paired structures. Our point is that the semantic features of a paired structure could essentially depend on the semantic relationships holding between the pair of reference concepts from which the valuation structure emerges. Different relationships may enable the representation of different types of neutrality, understood here as an epistemic hesitation regarding the references. However, the standard approach to natural languages through logical models usually assumes that reference concepts are just each other complement. In this paper, we informally discuss more deeply about these issues, claiming in a positional manner that an adequate logical study and representation of the features and complexity of natural languages requires to consider more general semantic relationships between references.
Tomamichel, M & Tan, VYF 1970, 'Second order refinements for the classical capacity of quantum channels with separable input states', 2014 IEEE International Symposium on Information Theory, 2014 IEEE International Symposium on Information Theory (ISIT), IEEE, Honolulu, USA, pp. 141-145.
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We study the non-asymptotic fundamental limits for transmitting classical information over memoryless quantum channels, i.e. we investigate the amount of information that can be transmitted when the channel is used a finite number of times and a finite average decoding error is permissible. We show that, if we restrict the encoder to use ensembles of separable states, the non-asymptotic fundamental limit admits a Gaussian approximation that illustrates the speed at which the rate of optimal codes converges to the Holevo capacity as the number of channel uses tends to infinity. To do so, several important properties of quantum information quantities, such as the capacity-achieving output state, the divergence radius, and the channel dispersion, are generalized from their classical counterparts. Further, we exploit a close relation between classical-quantum channel coding and quantum binary hypothesis testing and rely on recent progress in the non-asymptotic characterization of quantum hypothesis testing and its Gaussian approximation. © 2014 IEEE.
Tomamichel, M, Berta, M & Hayashi, M 1970, 'A duality relation connecting different quantum generalizations of the conditional Rényi entropy', 2014 IEEE International Symposium on Information Theory, 2014 IEEE International Symposium on Information Theory (ISIT), IEEE, Honolulu, USA, pp. 731-735.
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Recently a new quantum generalization of the Rényi divergence and the corresponding conditional Rényi entropies was proposed. Here we report on a surprising relation between conditional Rényi entropies based on this new generalization and conditional Rényi entropies based on the quantum relative Rényi entropy that was used in previous literature. This generalizes the well-known duality relation H(AB)+H(AC) = 0 for tripartite pure states to Rényi entropies of two different kinds. As a direct application, we prove a collection of inequalities that relate different conditional Rényi entropies. © 2014 IEEE.
Tomamichel, M, Martinez-Mateo, J, Pacher, C & Elkouss, D 1970, 'Fundamental finite key limits for information reconciliation in quantum key distribution', 2014 IEEE International Symposium on Information Theory, 2014 IEEE International Symposium on Information Theory (ISIT), IEEE, USA, pp. 1469-1473.
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The security of quantum key distribution protocols is guaranteed by the laws
of quantum mechanics. However, a precise analysis of the security properties
requires tools from both classical cryptography and information theory. Here,
we employ recent results in non-asymptotic classical information theory to show
that information reconciliation imposes fundamental limitations on the amount
of secret key that can be extracted in the finite key regime. In particular, we
find that an often used approximation for the information leakage during
information reconciliation is flawed and we propose an improved estimate.
Tong, LY & Luo, QT 1970, 'Selection of Integral Functions for Normal Mode Analysis in Topology Optimization', Applied Mechanics and Materials, Trans Tech Publications, Ltd., pp. 795-800.
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This article investigates topology optimization for normal mode analysis using a moving iso-surface threshold method. Fundamental natural frequency needs to be calculated for many engineering structures and maximizing its value is an interesting topic in topology optimization. Optimal design for the maximum fundamental frequency may appear to be a trivial issue or impractical design. Reinforcements by introducing non-designable elements and non-structural mass or concentrated mass are often used. In this article, these issues will be solved by choosing an appropriate Φ function that is an integral function in the moving iso-surface threshold method. The proposed Φ function is expressed as strain and kinetic energy densities for a series of normal modes. By selecting the energy densities of different mode shapes, optimal topologies to maximize structural fundamental frequency are studied.
Tran, Y, Thuraisingham, RA, Wijesuriya, N, Craig, A & Nguyen, HT 1970, 'Using S-transform in EEG analysis for measuring an alert versus mental fatigue state.', EMBC, International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE, Chicago, IL, pp. 5880-5883.
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This paper presents research that investigated the effects of mental fatigue on brain activity using electroencephalogram (EEG) signals. Since EEG signals are considered to be non-stationary, time-frequency analysis has frequently been used for analysis. The S-transform is a time-frequency analysis method and is used in this paper to analyze EEG signals during alert and fatigue states during a driving simulator task. Repeated-measure MANOVA results show significant differences between alert and fatigue states within the alpha (8-13Hz) frequency band. The two sites demonstrating the greatest increases in alpha activity during fatigue were the Cz and P4 sites. The results show that S-transform analysis can be used to distinguish between alert and fatigue states in the EEG and also supports the use of the S-transform for EEG analysis.
Trani, LD & Indraratna, B 1970, 'A Procedure to Assess Subballast Filtration under Cyclic Loading', Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance, The Second International Conference on Railway Technology: Research, Development and Maintenance, Civil-Comp Press.
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© Civil-Comp Press, 2014. Occurrences of inadequacies of subballast as a filtration layer of the ballasted rail tracks would become persistent if inappropriate criteria were still being used in the design. Traditionally, the subballast is considered mainly to act as a stress dissipation layer, more commonly known as a capping layer. Attention towards its function as a granular filter is proven by the fact that common design practice uses design criteria that are primarily based on steady seepage loading that is common in embankment dams. The seepage hydraulics through porous media is influenced by the cyclic mechanical loading generated by passing trains. Under the influence of cyclic train loading, subballast particles rearrange and attempt to attain a more stable configuration through the process of vertical compression, lateral spreading, and particle degradation. The deformability of the pore medium itself would then affect the filter condition due to the changes in porosity and its subsequent impact on hydraulic conductivity. This paper presents a procedure that combines a family of formulations and configuration charts that considers the effectiveness of the subballast as a granular filter being dependent on the reduction of its porosity and hydraulic conductivity over time.
Truong, BCQ, Tuan, HD, Fitzgerald, AJ, Wallace, VP & Nguyen, HT 1970, 'High correlation of double Debye model parameters in skin cancer detection', 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Chicago, US, pp. 718-721.
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© 2014 IEEE. The double Debye model can be used to capture the dielectric response of human skin in terahertz regime due to high water content in the tissue. The increased water proportion is widely considered as a biomarker of carcinogenesis, which gives rise of using this model in skin cancer detection. Therefore, the goal of this paper is to provide a specific analysis of the double Debye parameters in terms of non-melanoma skin cancer classification. Pearson correlation is applied to investigate the sensitivity of these parameters and their combinations to the variation in tumor percentage of skin samples. The most sensitive parameters are then assessed by using the receiver operating characteristic (ROC) plot to confirm their potential of classifying tumor from normal skin. Our positive outcomes support further steps to clinical application of terahertz imaging in skin cancer delineation.
Tu, C & Lee, JE-Y 1970, 'Etch-hole-assisted energy dispersion for enhancing quality factor in silicon bulk acoustic resonators', 2014 IEEE 27th International Conference on Micro Electro Mechanical Systems (MEMS), 2014 IEEE 27th International Conference on Micro Electro Mechanical Systems (MEMS), IEEE.
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Tune, P & Veitch, D 1970, 'OFSS', Proceedings of the 2014 Conference on Internet Measurement Conference, IMC '14: Internet Measurement Conference, ACM, Canada, pp. 235-240.
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Copyright © 2014 by the Association for Computing Machinery, Inc. (ACM). We introduce a new method for ow size estimation, the Op- Timised Flow Sampled Sketch, which combines the optimal properties of Flow Sampling with the computational advan- Tages of a counter array sketch. Using Fisher Information as a definitive basis of comparison, we show that it is superior to alternatives in both model and traffic based comparisons.
Ulapane, N, Alempijevic, A, Vidal-Calleja, T, Miro, JV, Rudd, J & Roubal, M 1970, 'Gaussian process for interpreting pulsed eddy current signals for ferromagnetic pipe profiling', 2014 9th IEEE Conference on Industrial Electronics and Applications, 2014 IEEE 9th Conference on Industrial Electronics and Applications (ICIEA), IEEE, Hangzhou, PEOPLES R CHINA, pp. 1762-1767.
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© 2014 IEEE. This paper describes a Gaussian Process based machine learning technique to estimate the remaining volume of cast iron in ageing water pipes. The method utilizes time domain signals produced by a commercially available pulsed Eddy current sensor. Data produced by the sensor are used to train a Gaussian Process model and perform inference of the remaining metal volume. The Gaussian Process model was learned using sensor data obtained from cast iron calibration plates of various thicknesses. Results produced by the Gaussian Process model were validated against the remaining wall thickness acquired using a high resolution laser scanner after the pipes were sandblasted to remove corrosion. The evaluation shows agreement between model outputs and ground truth. The paper concludes by discussing the implications or results and how the proposed method can potentially advance the current technological setup by facilitating real time pipe profiling.
Vakhshouri, B & Nejadi, S 1970, 'Limitations and Uncertainties in the Long-Term Deflection Calculation of Concrete Structures', Vulnerability, Uncertainty, and Risk, Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA), American Society of Civil Engineers, University of Liverpool, UK, pp. 535-546.
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© 2014 American Society of Civil Engineers. There is no distinctive boundary in RC members when the short-term deflection ends and long term begins. Simplified procedures for predicting deflections in design codes are not compatible with actual deflection under service loads, especially in sensitive elements such as floor slabs. Design codes generally predict the time-dependent deflection by multiplying an empirical amplification factor by an instantaneous deflection. Despite the negligible difference in instantaneous and short-term deflection, the calculated value for long-term deflection that is due to decrease in stiffness overtime due to the inelastic deformation of concrete shrinkage and creep, is sometimes significantly less than the actual deflection. In this paper, simplified calculations for the ratio of long-term to short-term deflection in codes and some empirical works have been compared. Based on the comparison between simplified methods and data obtained from experimental investigations of Gilbert and Guo (2005), it is evident that the long-term/ short-term ratio is sometime significantly beyond the range of codes of practice.
van Dijk, J, van der Lugt, R & Hummels, C 1970, 'Beyond distributed representation', Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction, TEI'14: Eighth International Conference on Tangible, Embedded, and Embodied Interaction, ACM, Munich, Germany, pp. 105-112.
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Walking is a physical activity that most people do on a daily basis. It is often characterized as a utilitarian means of locomotion; our basic, habitual mode of getting around from place to place. Walking can also be considered a creative and expressive act, with the potential for inspiring the design of interactive surfaces to support and mediate these aesthetic aspects. We draw on understandings of walking from a range of perspectives including biomechanics, ecological perception, anthropology and dance to inform the design and evaluation of an interactive surface. This surface, the Slow Floor, is intended to encourage a reflective engagement with the act of walking. We present the design and initial user evaluation of the Slow Floor, a pressure sensitive sound-generating surface, with a group of Butoh dancers performing a slow walk. The evaluation reveals a unique creative agency when walking on the Slow Floor compared to the internal focus on awareness when slow walking without the interactive surface. This creative agency provides new knowledge on the role interactive surfaces can play in developing awareness of movement and internal felt experience contributing to the discussion around somatics and HCI. Copyright is held by the owner/author(s).
Van Nguyen, L, Kodagoda, S, Ranasinghe, R & Dissanayake, G 1970, 'Spatially-distributed prediction with mobile robotic wireless sensor networks', 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), IEEE, Marina Bay Sands, Singapore, pp. 1153-1158.
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This paper presents a distributed spatial estimation and prediction approach to address the centrally-computed scheme of Gaussian Process regression at each robotic sensor in resource-constrained networks of mobile, wireless and noisy agents monitoring physical phenomena of interest. A mobile sensor independently estimate its own parameters using collective measurements from itself and local neighboring agents as they navigate through the environment. A spatially-distributed prediction algorithm is designed utilizing methods of Jacobi overrelaxation and discrete-time average consensus to enable a robotic sensor to update its estimation of obtaining the global model parameters and recursively compute the global goal of inference. A distributed navigation strategy is also considered to drive sensors to the most uncertain locations enhancing the quality of prediction and learning parameters. Experimental results in a real-world data set illustrate the effectiveness of the proposed approach and is highly comparable to those of the centralized scheme.
Van Nguyen, L, Kodagoda, S, Ranasinghe, R, Dissanayake, G, Bustamante, H, Vitanage, D & Nguyen, T 1970, 'Spatial prediction of hydrogen sulfide in sewers with a modified Gaussian process combined mutual information', 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), IEEE, Marina Bay Sands, Singapore, pp. 1130-1135.
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© 2014 IEEE. This paper proposes a data driven machine learning model for spatial prediction of hydrogen sulfide (H2S) in a gravity sewer system. The gaseous H2S in the overhead of the gravity sewer is modelled using a Gaussian Process with a new covariance function due to constraints of sewer boundaries. The covariance function is proposed based on the distance between two locations computed along the lengths of the sewer network. A mutual information based strategy is used to choose the best k sensor measurements and their locations from among n potential sensor observations and their locations. This provably NP-hard combinatorial sensor selection problem is addressed by maximizing the mutual information between the selected locations and the locations that are not selected or do not have any sensor deployments. A proof-of-concept study was carried out comparing the spatial prediction of H2S with a complex model currently used by Sydney Water. The proposed approach is shown to be effective in both modelling and predicting the H2S spatial concentrations in sewers as well as identifying optimal number of H2S sensors and their locations for a required level of prediction accuracy.
Vidal-Calleja, T, Miro, JV, Martin, F, Lingnau, DC & Russell, DE 1970, 'Automatic detection and verification of pipeline construction features with multi-modal data', 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), IEEE, Chicago, IL, USA, pp. 3116-3122.
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© 2014 IEEE. Assessment of the condition of underground pipelines is crucial to avoid breakages. Autonomous in-line inspection tools provided with Non-destructive Technology (NDT) sensors to assess large sections of the pipeline are commonly used for these purposes. An example of such sensors based on Eddy currents is the Remote Field Technology (RFT). A crucial step during in-line inspections is the detection of construction features, such as joints and elbows, to accurately locate and size specific defects within pipe sections. This step is often performed manually with the aid of visual data, which results in slow data processing. In this paper, we propose a generic framework to automate the detection and verification of these construction features using both NDT sensor data and visual images. Firstly, supervised learning is used to identify the construction features in the NDT sensor signals. Then, image processing is employed to verify the selection. Results are presented with data from a RFT tool, for which a specialised descriptor has been designed to characterise and classify its signal features. Furthermore, the construction feature is displayed in the image, once it is identified in the RFT data and detected in the visual data. A visual odometry algorithm has been implemented to locate the visual data with respect to the RFT data. About 800 meters of these multi-modal data are evaluated to test the validity of the proposed approach.
Vidal-Calleja, T, Su, D, De Bruijn, F & Miro, JV 1970, 'Learning spatial correlations for Bayesian fusion in pipe thickness mapping', 2014 IEEE International Conference on Robotics and Automation (ICRA), 2014 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Hong Kong, pp. 1-8.
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Vinod, JS, Hyodo, M, Indraratna, B & Kajiyama, S 1970, 'Three-Dimensional Translucent Segregation Table (3D-TST) test for soil particle size and shape distribution', Geomechanics from Micro to Macro, Vols I and II, 3rd International Symposium on Geomechanics from Micro to Macro, CRC Press, Univ Cambridge, Cambridge, ENGLAND, pp. 1056-1061.
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WALDRON, KJ 1970, 'A STUDY OF THE COMPLETE STRIDE CYCLE IN DYNAMICALLY STABLE QUADRUPEDAL RUNNING', Mobile Service Robotics, 17th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, WORLD SCIENTIFIC, Poznan, Poland, pp. 223-230.
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An understanding of the gross mechanics of running is essential for the design of running robots that use dynamically stable gaits. In earlier papers [1, 2] the author and his colleagues analyzed the complete stride cycle for both transverse and rotary gallops. This resulted in a solution that required that the durations of the two flight phases should be equal, in both cases. Examination of experimental results indicates that this conclusion is quite wrong. Review of the analysis indicates that this result was driven by an assumption that the system behaves as a rigid body for motion about the roll axis. Abandoning that assumption produces a simpler analysis which produces results that are broadly consistent with available experimental data.
Wallis, R, Erohin, O, Klinkenberg, R, Deuse, J & Stromberger, F 1970, 'Data Mining-supported Generation of Assembly Process Plans', Procedia CIRP, 5th CIRP Conference on Assembly Technologies and Systems (CATS), Elsevier BV, Dresden, GERMANY, pp. 178-183.
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Wallis, R, Stjepandic, J, Rulhoff, S, Stromberger, F & Deuse, J 1970, 'Intelligent utilization of digital manufacturing data in modern product emergence processes', Advances in Transdisciplinary Engineering, pp. 261-270.
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The application of digital manufacturing tools has been continuously increasing in order to deal with product and process complexity in shortened product lifecycles. The resulting comprehensive digital documentation of the product emergence process provides an opportunity to support concurrent engineering processes. By identifying correlations and recurrent patterns with the aid of data mining techniques, tacit planning knowledge can be revealed and reintegrated into new process planning workflows in order to enhance planning efficiency and facilitate decision making. Based on the classification and clustering of both product and process data and the determination of their respective linkages, this paper presents a novel approach for the knowledge-based support of product emergence processes.
Wan, Y, Wu, Q & He, X 1970, 'Dense feature correspondence for video-based endoscope three-dimensional motion tracking', IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), IEEE, Valencia, pp. 49-52.
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This paper presents an improved video-based endoscope tracking approach on the basis of dense feature correspondence. Currently video-based methods often fail to track the endoscope motion due to low-quality endoscopic video images. To address such failure, we use image texture information to boost the tracking performance. A local image descriptor - DAISY is introduced to efficiently detect dense texture or feature information from endoscopic images. After these dense feature correspondence, we compute relative motion parameters between the previous and current endoscopic images in terms of epipolar geometric analysis. By initializing with the relative motion information, we perform 2-D/3-D or video-volume registration and determine the current endoscope pose information with six degrees of freedom (6DoF) position and orientation parameters. We evaluate our method on clinical datasets. Experimental results demonstrate that our proposed method outperforms state-of-the-art approaches. The tracking error was significantly reduced from 7.77 mm to 4.78 mm. © 2014 IEEE.
Wang, C, Savkin, AV, Clout, R & Nguyen, HT 1970, 'A method for collision free navigation of a robotic hospital bed among steady and moving obstacles', 2014 IEEE Conference on Control Applications (CCA), 2014 IEEE Conference on Control Applications (CCA), IEEE, Juan Les Antibes, pp. 1058-1063.
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We present a reactive navigation algorithm which ensures the safety of the hospital beds in the dynamic environments. The proposed navigation algorithm allows the hospital beds to avoid en-route obstacles with an efficient easy-to-compute sliding mode obstacle avoidance strategy when an obstacle is nearby, and move towards the target location at maximum speed when there is no threat of collision. We provide extensive computer simulation of the proposed navigation algorithm. More importantly, the experiment results with the designed mobile hospital bed in real world scenarios are also presented.
Wang, D, Yuan, C, Sun, Y, Zhang, J & Zhou, H 1970, 'Fast Mode and Depth Decision Algorithm for Intra Prediction of Quality SHVC', Intelligent Computing Theory, International Conference on Intelligent Computing, Springer International Publishing, Taiyuan, China, pp. 693-699.
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Scalable High-Efficiency Video Coding (SHVC) is an extension of High Efficiency Video Coding (HEVC). Since the coding procedure for HEVC is very complex, the coding procedure for SHVC is even more complex, it is very important to improve its coding speed. In this paper, we have proposed a fast mode and depth decision algorithm for Intra prediction of Quality SHVC. Initially, only partial modes are checked to determine the local minimum points (LMPs) based on the relationships between the modes and their corresponding Hadamard Costs (HC); and then only partial depths are checked by skipping depths with low possibilities indicated based on their inter-layer correlations and textural features. The experimental results showed that the proposed algorithm could improve coding speed by 61.31% on average with negligible coding efficiency losses.
Wang, GG, Deb, S, Gandomi, AH, Zhang, Z & Alavi, AH 1970, 'A Novel Cuckoo Search with Chaos Theory and Elitism Scheme', 2014 International Conference on Soft Computing and Machine Intelligence, 2014 International Conference on Soft Computing & Machine Intelligence (ISCMI), IEEE, New Delhi, INDIA, pp. 64-69.
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Wang, H, Liu, RP, Ni, W, Chen, W & Collings, IB 1970, 'A new analytical model for highway inter-vehicle communication systems', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, NSW, Australia, pp. 2581-2586.
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In Vehicular Ad Hoc Networks (VANETs), vehicles along highways can be grouped into clusters. The design of VANET clusters (i.e., size and geographical span) depends on the packet collision in MAC layer, the wireless channel conditions in PHY layer, and the mobility of the vehicles. Existing works investigated these effects separately. In this paper, we present a comprehensive analysis that combines these three important factors into one model. In particular, we model an unsaturated VANET cluster with a Markov chain by introducing an idle state. The wireless channel fading and vehicle mobility are integrated by explicitly deriving the joint distribution of inter-vehicle distances. Closed-form expressions of network performance measures, i.e., packet loss probability and system throughput, are derived. The proposed analytic model, validated by simulations, is able to accurately characterize VANET performance. Our model can be applied to the design of VANET clusters, and reveals a number of insights that provide guidelines for VANETs design and management. © 2014 IEEE.
Wang, K, Guo, H, Shu, L & Liu, B 1970, 'An improved congestion control algorithm based on social awareness in Delay Tolerant Networks', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, AUSTRALIA, pp. 1773-1777.
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Wang, R, Hamilton, TJ, Tapson, J & van Schaik, A 1970, 'A compact neural core for digital implementation of the Neural Engineering Framework', 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings, 2014 IEEE Biomedical Circuits and Systems Conference (BioCAS), IEEE, pp. 548-551.
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© 2014 IEEE. The Neural Engineering Framework (NEF) is a tool that is capable of synthesising large-scale cognitive systems from subnetworks; and it has been used to construct SPAUN, which is the first brain model capable of performing cognitive tasks. It has been implemented on computers using high-level programming languages. However the software model runs much slower than real time, and therefore is not capable of performing for applications that need real-time control, such as interactive robotic systems. Here we present a compact neural core for digital implementation of the NEF on Field Programmable Gate Arrays (FPGAs) in real time. The proposed digital neural core consists of 64 neurons that are instantiated by a single physical neuron using a time-multiplexing approach. As NEF intrinsically uses a spike rate-encoding paradigm, rather than implementing spiking neurons and then measuring their firing rates, we chose to implement NEF with neurons that compute their firing rate directly. The neuron is efficiently implemented using a 9-bit fixed-point multiplier without the requirement of memory, the bandwidth of memory being the bottleneck for the time-multiplexing approach. The neural core uses only a fraction of the hardware resources in a commercial-off-the-shelf FPGA (even an entry level one) and can be easily programmed for different mathematical computations. Multiple cores can easily be combined to build real-time large-scale cognitive neural networks using the Neural Engineering Framework.
Wang, R, Hamilton, TJ, Tapson, J & van Schaik, A 1970, 'A compact reconfigurable mixed-signal implementation of synaptic plasticity in spiking neurons', 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, Melbourne, AUSTRALIA, pp. 862-865.
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Wang, R, Hamilton, TJ, Tapson, J & van Schaik, A 1970, 'A generalised conductance-based silicon neuron for large-scale spiking neural networks', 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, Melbourne, AUSTRALIA, pp. 1564-1567.
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Wang, R, Hamilton, TJ, Tapson, J & van Schaik, A 1970, 'An FPGA design framework for large-scale spiking neural networks', 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, pp. 457-460.
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We present an FPGA design framework for large-scale spiking neural networks, particularly the ones with a high-density of connections or all-to-all connections. The proposed FPGA design framework is based on a reconfigurable neural layer, which is implemented using a time-multiplexing approach to achieve up to 200,000 virtual neurons with one physical neuron using only a fraction of the hardware resources in commercial-off-the-shelf FPGAs (even entry level ones). Rather than using a mathematical computational model, the physical neuron was efficiently implemented with a conductance-based model, of which the parameters were randomised between neurons to emulate the variance in biological neurons. Besides these building blocks, the proposed time-multiplexed reconfigurable neural layer has an address buffer, which will generate a fixed random weight for each connection on the fly for incoming spikes. This structure effectively reduces the usage of memory. After presenting the architecture of the proposed neural layer, we present a network with 23 proposed neural layers, each containing 64k neurons, yielding 1.5 M neurons and 92 G synapses with a total spike throughput of 1.2T spikes/s, while running in real-time on a Virtex 6 FPGA. © 2014 IEEE.
Wang, W, Lu, J & Zhang, G 1970, 'A New Similarity Measure-Based Collaborative Filtering Approach for Recommender Systems', FOUNDATIONS OF INTELLIGENT SYSTEMS (ISKE 2013), International Conference on Intelligent Systems and Knowledge Engineering, Springer Berlin Heidelberg, Shenzhen,China, pp. 443-452.
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Collaborative filtering (CF) is the most popular recommendation approach in personalization techniques but still suffers from poor recommendation accuracy. This study incorporates fuzzy set technique and user-relevant analysis to improve the CF approach. It proposes an innovative fuzzy similarity measure (FSM) and user-relevant aggregation (URA) on recommendation approach. Experiments demonstrate that the FSM-URA approach significantly improves the prediction accuracy comparing to the existing recommendation approaches. © Springer-Verlag Berlin Heidelberg 2014.
Wang, X, Wang, M & Zhang, Y 1970, 'Building GIS for Unmanned Ground Vehicles in the Urban Traffic Environment', 2014 33RD CHINESE CONTROL CONFERENCE (CCC), 33rd Chinese Control Conference (CCC), IEEE, PEOPLES R CHINA, Nanjing, pp. 647-652.
Wang, X, Williams, M-A, Gaerdenfors, P, Vitale, J, Abidi, S, Johnston, B, Kuipers, B, Huang, A & IEEE 1970, 'Directing Human Attention with Pointing', 2014 23RD IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (IEEE RO-MAN), IEEE/RSJ International Symposium on Robot and Human Interactive Communication, IEEE, Edinburgh, Scotland, pp. 174-179.
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© 2014 IEEE. Pointing is a typical means of directing a human's attention to a specific object or event. Robot pointing behaviours that direct the attention of humans are critical for human-robot interaction, communication and collaboration. In this paper, we describe an experiment undertaken to investigate human comprehension of a humanoid robot's pointing behaviour. We programmed a NAO robot to point to markers on a large screen and asked untrained human subjects to identify the target of the robots pointing gesture. We found that humans are able to identify robot pointing gestures. Human subjects achieved higher levels of comprehension when the robot pointed at objects closer to the gesturing arm and when they stood behind the robot. In addition, we found that subjects performance improved with each assessment task. These new results can be used to guide the design of effective robot pointing behaviours that enable more effective robot to human communication and improve human-robot collaborative performance.
Wang, XL, Eklund, JM & McGregor, C 1970, 'Parametric Power Spectrum Analysis of ECG Signals for Obstructive Sleep Apnoea Classification', 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS), IEEE, Icahn Sch Med, New York, NY, pp. 8-13.
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Wang, Y & Huang, S 1970, 'Motion segmentation based robust RGB-D SLAM', Proceeding of the 11th World Congress on Intelligent Control and Automation, 2014 11th World Congress on Intelligent Control and Automation (WCICA), IEEE, Shenyang, China, pp. 3122-3127.
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© 2014 IEEE. A sparse feature-based motion segmentation algorithm for RGB-D data is proposed which offers us a unified way to handle outliers and dynamic scenarios. Together with the pose-graph SLAM framework, they constitute an effective and robust solution that enable us to do RGB-D SLAM in wide range of situations, although traditionally they have been divided into different categories and treated separately using different kinds of methods. Through comparisons with RANSAC using simulated data and testing with different benchmark RGB-D datasets against the state-of-the-art method in RGB-D SLAM, we show that our solution is efficient and effective in handling general static and dynamic scenarios, some of which have not be achieved before.
Wang, Y & Huang, S 1970, 'Towards dense moving object segmentation based robust dense RGB-D SLAM in dynamic scenarios', 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), IEEE, Singapore, pp. 1841-1846.
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© 2014 IEEE. Based on the latest achievements in computer vision and RGB-D SLAM, a practical way for dense moving object segmentation and thus a new framework for robust dense RGB-D SLAM in challenging dynamic scenarios is put forward. As the state-of-the-art method in RGB-D SLAM, dense SLAM is very robust when there are motion blur or featureless regions, while most of those sparse feature-based methods could not handle them. However, it is very susceptible to dynamic elements in the scenarios. To enhance its robustness in dynamic scenarios, we propose to combine dense moving object segmentation with dense SLAM. Since the object segmentation results from the latest available algorithm in computer vision are not satisfactory, we propose some effective measures to improve upon them so that better results can be achieved. After dense segmentation of dynamic objects, dense SLAM can be employed to estimate the camera poses. Quantitative results from the available challenging benchmark dataset have proved the effectiveness of our method.
Wang, Y, Di, H, Wang, B, Liang, W, Zhang, J & Jia, Y 1970, 'Depth Super-resolution by Fusing Depth Imaging and Stereo Vision with Structural Determinant Information Inference', 2014 22nd International Conference on Pattern Recognition, 2014 22nd International Conference on Pattern Recognition (ICPR), IEEE, Stockholm, Sweden, pp. 4212-4217.
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In this paper, we present a depth super-resolution
framework by fusing depth imaging and stereo vision for highresolution
and high-accuracy depth maps. Depth cameras and
stereo vision have their own limitations in some aspects, but
their characteristics of range sensing are complementary. Thus,
combining both approaches can produce more satisfactory results
than either one. Unlike previous fusion methods, we initially
taking the noisy depth observation from depth camera as prior
information of scene structure. The prior information of scene
structure is also utilized to infer structural determinant information,
like depth discontinuity and occlusion, which is essential
to improve the quality of depth map in the fusion process. In
succession, the prior knowledge helps to overcome difficulties of
intensity inconsistency in image observation from stereo vision
component. Experimental results dem
Wang, Y, Lin, X, Zhang, Q & Wu, L 1970, 'Shifting Hypergraphs by Probabilistic Voting', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer International Publishing, pp. 234-246.
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In this paper, we develop a novel paradigm, namely hypergraph shift, to find robust graph modes by probabilistic voting strategy, which are semantically sound besides the self-cohesiveness requirement in forming graph modes. Unlike the existing techniques to seek graph modes by shifting vertices based on pair-wise edges (i.e, an edge with 2 ends), our paradigm is based on shifting high-order edges (hyperedges) to deliver graph modes. Specifically, we convert the problem of seeking graph modes as the problem of seeking maximizers of a novel objective function with the aim to generate good graph modes based on sifting edges in hypergraphs. As a result, the generated graph modes based on dense subhypergraphs may more accurately capture the object semantics besides the self-cohesiveness requirement. We also formally prove that our technique is always convergent. Extensive empirical studies on synthetic and real world data sets are conducted on clustering and graph matching. They demonstrate that our techniques significantly outperform the existing techniques. © 2014 Springer International Publishing.
Wang, Y, Luo, Z & Zhang, N 1970, 'The topological design of materials with specified thermal expansion using a level set-based parameterization method', 11th World Congress on Computational Mechanics, WCCM 2014, 5th European Conference on Computational Mechanics, ECCM 2014 and 6th European Conference on Computational Fluid Dynamics, ECFD 2014, 11th World Congress on Computational Mechanics (WCCM) / 5th European Conference on Computational Mechanics (ECCM) / 6th European Conference on Computational Fluid Dynamics (ECFD), INT CENTER NUMERICAL METHODS ENGINEERING, Barcelona, SPAIN, pp. 625-632.
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In this paper, a level set-based parameterization method is proposed to design the three-phase composite material with specified thermal expansion coefficient. The composites are comprised by periodic base cells, and made of a three-phase material (two different material phases and a void phase). The numerical homogenization method is applied to compute effective elastic and thermal expansion properties of the composite based on a finite-element discretization of the base cell. The optimal distribution of material phases within the periodical unit cell is found using level set-based parameterization method under certain constraints, such as elastic symmetry, volume fractions of the constituent phases, and lower limit of bulk modulus. A MATLAB program is developed to conduct the composite material design and the results demonstrate that materials with zero and negative effective thermal expansion coefficients can be achieved by three-phase materials.
Wang, Z, Luo, T, Xu, G & Wang, X 1970, 'The Application of Cartesian-Join of Bloom Filters to Supporting Membership Query of Multidimensional Data', 2014 IEEE International Congress on Big Data, 2014 IEEE International Congress on Big Data (BigData Congress), IEEE, USA, pp. 288-295.
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Ward, PK, Manamperi, P, Brooks, P, Mann, P, Kaluarachchi, W, Matkovic, L, Paul, G, Yang, C, Quin, P, Pagano, D, Liu, D, Waldron, K & Dissanayake, G 1970, 'Climbing Robot for Steel Bridge Inspection: Design Challenges', Proceedings for the Austroads Publications Online, Austroads Bridge Conference, ARRB Group, New South Wales, pp. 1-13.
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Inspection of bridges often requires high risk operations such as working at heights, in confined spaces, in hazardous environments; or sites inaccessible by humans. There is significant motivation for robotic solutions which can carry out these inspection tasks. When inspection robots are deployed in real world inspection scenarios, it is inevitable that unforeseen challenges will be encountered.Since 2011, the New South Wales Roads & Maritime Services and the Centre of Excellence for Autonomous Systems at the University of Technology, Sydney, have been working together to develop an innovative climbing robot to inspect high risk locations on the Sydney Harbour Bridge. Many engineering challenges have been faced throughout the development of several prototype climbing robots, and through field trials in the archways of the Sydney Harbour Bridge. This paper will highlight some of the key challenges faced in designing a climbing robot for inspection, and then present an inchworm inspired robot which addresses many of these challenges.
Warkiani, ME & Gong, HQ 1970, 'Micro-fabricated Membranes with Regular Pores for Efficient Pathogen Removal', IFMBE Proceedings, Springer International Publishing, pp. 424-427.
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© Springer International Publishing Switzerland 2014. Rapid and accurate detection of pathogenic bacteria in drinking-water systems is a challenging problem. Filtration based concentration techniques have been widely used for isolation and recovery of C. parvum and Giardia (oo)cysts into small volumes for downstream analysis. Micro-fabricated membranes that contain pores with the same size and shape have been shown to be a good choice for efficient pathogen removal. In this study, a robust isoporous membrane was fabricated and validated for concentration and recovery of C. parvum and Giardia (oo)cysts from tap-water according to the EPA standard protocol. Microfiltration results of the isoporous polymeric microfilter revealed that using a simple backflushing procedure, more than 90% of the C. parvum and Giardia (oo)cysts spiked in the tap-water samples can be recovered, showing greater performance than available commercial microfilters. This research demonstrated the potential application of micro-fabricated filters with regular pores for large-scale filtration and monitoring of C. parvum and Giardia (oo)cysts contamination in drinking-water distribution systems.
Warkiani, ME, Tay, AKP, Guan, G & Han, J 1970, 'Next-generation microfilter: Large scale, continuous mammalian cell retention for perfusion bioreactors', 18th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2014, pp. 2474-2476.
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In this study, we report on the development of the first membrane-less, clog-free microfiltration platform for ultra-high throughput (up to 1000 mL/min) cell separation, using a massively-multiplexed array of inertial microfluidic cell sorting channels. Our developed system consists of multiple layer (10∼20) of PDMS sheets with embossed microchannels (i.e., ∼ 200 individual spirals) bonded together for continuous size-based cell sorting from a large volume of biological fluid. Subsequent perfusion culture experiments using the cell retention system show the potential to significantly enhance overall efficiency of perfusion cell culture.
Warkiani, ME, Tay, AKP, Khoo, BL, Xu, X, Lim, CT & Han, J 1970, 'Enabling reliable detection of low abundance malaria parasites from blood using inertial microfluidics', 18th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2014, pp. 1157-1159.
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In this paper, a highly efficient inertial microfluidic device was described to enable the enrichment and purification of malaria parasites from blood, which leads to more reliable and specific PCR-based malaria detection. The device makes use of equilibrium between shear-modulated inertial lift and wall-induced lift forces to remove WBCs, thereby facilitating malaria parasite enrichment. The cascaded system is able to process 1 mL of lysed blood in 15 min, with the WBC depletion efficiency of 99.99% which is higher than any commercially available kit (i.e., CD-45 coated beads) for this purpose. Parasite densities ranging from 103 to 104 P. falciparum parasites per mL (∼ 2 per μL) have been quantified in whole blood using quantitative PCR. Obtained results revealed that the sample preparation using the inertial microfluidic device can significantly enhance the PCR results and make it more reliable by removing most of the unwanted genomic materials and PCR inhibitors.
Wazirali, RA, Chaczko, Z & Carrión, L 1970, 'Multilayers DNA-QR Based Steganography', Asia-Pacific Conference on Computer Aided System Engineering – APCASE 2014, Bali, Indonesia.
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Biological systems have been a rich source of stimulation for computer security specialists. A wide number of approaches have been proposed over the last decade for encoding data using deoxyribonucleic acid (DNA), giving rise to the developing area of DNA data hiding. In this work, a new data hiding technique based upon DNA characteristic have been developed. DNA matrix has been used to represent the secret message. After that DNA matrix converted to QR (Quick Response) representation that offers a broad scope of practical usage. In addition, we embed the QR codes into the cover image by applying the Haar Wavelet technique on the resulting DNA signals and LSB. Experimental results have presented a high PSNR which indicate a high level of quality in stego image with high capacity.
Wazirali, RA, Chaczko, Z & Kale, A 1970, 'Digital multimedia archiving based on optimization steganography system', 2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE), 2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE), IEEE, Bali/South Kuta, pp. 82-86.
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© 2014 IEEE. As soon as digital artifacts have become a part and parcel of everyday life, the need for digital media archives with the capacity of preserving the given metadata has risen impressively. The process of converting the digital metadata to archives, however, is fraught with a number of difficulties, the key one concerning the methodology for embedding high payload capacity information into the digital multimedia and at the same time retains high quality of the image. The given paper will consider steganography as a possible solution to the aforementioned issue. Allowing for detecting the genetic algorithm for boosting the PSNR value with the information of high capacity will help solve the issue regarding the digital multimedia archiving. Many sizes of data are embeded inside the images and the PSNR (Peak signal-to-noise ratio) is also taken for each of the images verified.
Wei, F, Shi, XW, Qin, PY, Guo, YJ & IEEE 1970, 'Compact UWB Power Divider with Unequal Distribution Ratio', 2014 INTERNATIONAL WORKSHOP ON ANTENNA TECHNOLOGY: 'SMALL ANTENNAS, NOVEL EM STRUCTURES AND MATERIALS, AND APPLICATIONS' (IWAT), IEEE, pp. 297-299.
Wei, W, Yin, J, Li, J & Cao, L 1970, 'Modeling Asymmetry and Tail Dependence among Multiple Variables by Using Partial Regular Vine', Proceedings of the 2014 SIAM International Conference on Data Mining, Proceedings of the 2014 SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics, Philadelphia, USA, pp. 776-784.
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Modeling high-dimensional dependence is widely studied to explore deep relations in multiple variables particularly useful for financial risk assessment. Very often, strong restrictions are applied on a dependence structure by existing high-dimensional dependence models. These restrictions disabled the detection of sophisticated structures such as asymmetry, upper and lower tail dependence between multiple variables. The paper proposes a partial regular vine copula model to relax these restrictions. The new model employs partial correlation to construct the regular vine structure, which is algebraically independent. This model is also able to capture the asymmetric characteristics among multiple variables by using two-parametric copula with flexible lower and upper tail dependence. Our method is tested on a cross-country stock market data set to analyse the asymmetry and tail dependence. The high prediction performance is examined by the Value at Risk, which is a commonly adopted evaluation measure in financial market.
Read More: http://epubs.siam.org/doi/abs/10.1137/1.9781611973440.89
Widin, J & Kelly, A 1970, 'Academic Literacy Practices in Diverse Tertiary Settings', Melbourne, Australia.
Wijayaratna, KP, Labutis, LN & Waller, ST 1970, 'Dynamic User Optimal traffic assignment with recourse', Proceedings of the 19th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2014 - Transportation and Infrastructure, pp. 525-532.
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Limitations of static network equilibrium models have led to numerous research efforts in predicting the temporal and spatial traffic conditions throughout road networks. Static models do not account for the dynamic nature of traffic. Accordingly, new approaches to depict these scenarios have been formulated, such as Dynamic User Optimal (DUO). This study extends DUO to DUO with recourse (DUOR) where a user can also alter their journey en-route dependent on the traffic conditions and the available information through ITS technology. This study proposes the modelling framework Dynamic User Optimal with Recourse using a Cell Transmission Model (DUOR-CTM). The model focuses on initially understanding whether a Dynamic User Optimal with Recourse (DUOR) solution arises and also determines the impact of information on the user optimal travel cost. The study presents the results of a sample network and highlights the need to account for information in a dynamic context.
Willey, K & Gardner, A 1970, 'Combining flipped instruction and multiple perspectives to develop cognitive and affective processes', SEFI Annual Conference 2014, SEFI - Annual Conference of European Society for Engineering Education, SEFI, Birmingham, UK.
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While the phrase ‘flipped learning’ may be relatively new it has been practised by some academics and teachers for decades. Flipped learning or as we prefer flipped instruction (as the learning should ideally occur at all stages of the process) is a form of blended learning that replaces transmission-based lectures with more participative, interactive and collaborative learning opportunities. Activities are typically undertaken before, during and after class, freeing in class time to participate in activities and engage with concepts at a higher level. Flipped activities should require students to engage in dialogue and include assessment (typically formative) to allow them to evaluate their understanding and progress in meeting the desired learning outcomes. Flipping creates an opportunity for academics to provide more dynamic and thus specific feedback to students, and to receive feedback from students about both the activities they are undertaking and what they don’t yet understand. Hence, the learning environment is socially constructed as academics and students combine to influence the nature, focus, complexity and timing of subject activities. Social cognitive theory provides a way to frame our thinking about this learning context by foregrounding aspects such as the environment created for learning, as well as considering development of student self-efficacy and how to scaffold the processes for this development.
This paper reports part of an ongoing study investigating relationships between engagement, goal orientation, affective outcomes and professional identity development in the context of flipped instruction. This study supported modification of our collaborative learning model [1] to explicitly provide multiple perspectives to assist students to overcome learning thresholds, develop disciplinary literacy, professional identity and expertise. In addition, it highlighted the impact of scaffolding and learning activity design on affective outcomes such...
Willey, K & Gardner, AP 1970, 'Impact of student’s goal orientation in a flipped learning environment', Proceedings of the 25th Annual Conference of the Australasian Association for Engineering Education, AAEE - Annual Conference of Australasian Association for Engineering Education, School of Engineering & Advanced Technology, Massey University, Wellington, NZ.
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BACKGROUND
Flipped instruction is a form of blended learning that typically encompasses the use of technology to move instruction and preparation outside the classroom. This facilitates the use of ‘in class’ time for more participative learning activities. These activities should require students to interact and collaborate to improve both their learning and their learning experience.
Many researchers have highlighted issues of importance to designing learning activities including student behaviour, assessment, student self-efficacy and goal orientation and the importance of dialogue and feedback for learning.
PURPOSE
In this paper we explore these themes in the context of a flipped instruction environment for different types of students: those with a learning mastery orientation, those focussed on grade achievement and a subset of grade achievement students - those who struggled to pass.
APPROACH
Student perceptions of flipped instruction were investigated through survey responses, observations and focus group discussion. In particular, students were asked to explain the impact of the flipped activities on their learning experience including how they approached their studies or managed their time.
OUTCOMES
Students reported liking flipped instruction compared to the more traditional lecture style delivery format. Most students believe that it had a positive impact on their learning experience and promoted them to become more independent and responsible learners. The main finding that emerged from the interviews and focus group was how the student’s goal orientation affected their engagement with the learning opportunities provided.
CONCLUSIONS
The authors present a model showing potential pathways for a change in goal orientation prompted by the quality of assessment and learning design. We found evidence to support our theory that a student’s orientation can be changed temporarily by the quality of the learning opportunity provided and in particular...
Willey, K, Gardner, A & Kadi, A 1970, 'Flipped learning: Comparing the student experience from 1st year to postgraduate', SEFI Annual Conference 2014, SEFI - Annual Conference of European Society for Engineering Education, SEFI, Birmingham, UK.
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While flipped instruction may be the standard practice in many social science programs it is often promoted as a recent innovation in learning design within science and technology classrooms. Flipped instruction is a form of blended learning that replaces transmission-based lectures with more participative, interactive and collaborative learning opportunities. Activities are typically undertaken before, during and after class, freeing in class time to participate in activities that often engage concepts at a higher level. Flipped activities typically require students to undertake out of class preparatory work, engage in in-class dialogue and collaborative learning and we suggest be more independent in their approach to learning.
Typically instructors focus on their students’ cognitive development in relation to the subject material. However, students’ expectations of how a subject can be delivered and their level of metacognitive skill development will also affect how they engage with the content of a subject and hence impact on their learning. Our investigation is concerned with how these factors impact students’ response to flipped instruction.
This paper reports the exploratory phase of an ongoing study investigating the impact of flipped instruction on first year, third year and postgraduate students. We found that most students irrespective of their stage of study preferred flipped instruction compared to the more traditional lecture style approach agreeing that it had a positive impact on their learning experience. There was also evidence that the different learning expectations and focus of the undergraduate students in particular those in first-year meant that many may not be ready for the responsibility and independence demanded to engage with flipped instruction without scaffolding and support.
Willey, K, Gardner, A & Kadi, A 1970, 'Flipped learning: Comparing the student experience from 1st year to postgraduate', SEFI Annual Conference 2014.
Williams, PT & Kirby, R 1970, 'The effect of higher order modes on the performance of large diameter dissipative silencers', Proceedings of Forum Acusticum, Forum Acusticum, Krakow, Poland.
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Within the gas turbine industry dissipative silencers are regularly used to reduce broadband noise within duct systems. Silencer performance is normally quantified using the insertion loss due to a plane wave incident sound field. However for larger silencers the widths of these duct systems are large enough to allow higher order modes to propagate over much of the frequency range of interest (31-8kHz octave bands), which may have a significant effect upon silencer performance that is not normally accounted for. The performance of dissipative parallel baffle and bar silencers in the presence of different types of incident sound field is investigated through a numerical model which uses the finite element method and point collocation to predict insertion loss. Excitation of the silencer using an equal modal energy density sound field is found to have a large effect upon performance compared to plane wave excitation. Increases to insertion loss are predicted at high frequencies for the geometries modelled and it is found that plane wave predictions do not necessarily give the worst case performance.
Wong, GY, Leung, FHF, Ling, S-H & IEEE 1970, 'An Under-sampling Method Based on Fuzzy Logic for Large Imbalanced Dataset', 2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), International Conference on Fuzzy Systems, IEEE, Beijing, China, pp. 1248-1252.
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© 2014 IEEE. Large imbalanced datasets have introduced difficulties to classification problems. They cause a high error rate of the minority class samples and a long training time of the classification model. Therefore, re-sampling and data size reduction have become important steps to pre-process the data. In this paper, a sampling strategy over a large imbalanced dataset is proposed, in which the samples of the larger class are selected based on fuzzy logic. To further reduce the data size, the evolutionary computational method of CHC is employed. The evaluation is done by applying a Support Vector Machine (SVM) to train a classification model from the re-sampled training sets. From experimental results, it can be seen that our proposed method improves both the F-measure and AUC. The complexity of the classification model is also compared. It is found that our proposed method is superior to all other compared methods.
Wonschik, C-R, Brennan, J, Ding, G, Heilmann, A & Vessalas, K 1970, 'Implications of Legal Frameworks on Construction and Demolition Waste Recycling a Comparative Study of the German and Australian Systems', Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), 31st International Symposium on Automation and Robotics in Construction, International Association for Automation and Robotics in Construction (IAARC), Sydney, Australia, pp. 523-530.
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This comparative study between German and Australian legislation demonstrates that legal frameworks impact on the way in which recycling systems work. Both Australia and Germany operate as Federations and the autonomy of states influences common federation wide practices and standards. In Germany's case however, it is obliged to comply with European Union guidelines which result in German federal legislation being binding for all German states and to common industry practices across all of Germany. Purely industry regulated systems are not always sufficient to cater for societal and environmental needs, and political intervention can sometimes be necessary to achieve desired outcomes. The construction and demolition (C&D) waste recycling industry is a good example. In Australia C&D waste recycling is mostly industry regulated, while the state has greater influence in Germany. A statistical analysis illustrates legislative impact on recycling outcomes. Nonetheless, any legislative efforts can also have effects contrary to the intended ones. A study of such cases is conducted and other influencing factors also considered. In conclusion, the study outlines the importance of interstate coordination and regulation; and the need for the incorporation of industry requirements and other potentially influencing factors into the legal frameworks in order to meet desired outcomes.
Woo, Y, Tijing, LD & Shon, HK 1970, 'Hydrophobic/hydrophilic dual-layer electrospun nanofibrous membranes for air gap membrane distilltation', 4th IWA Regional Conference on Membrane Technology 2014, IWA Regional Conference on Membrane Technology, Vietnam.
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In the present study, we fabricated and optimized a multi-component nanofiber membrane produced by simple electrospinning and investigated its performance for desalination by air gap membrane distillation (AGMD). Neat and composite two-layer nanofiber membranes composed of polyvinyidene fluoride (PVDF), PVDF/nylon-6 or PVDF/polyacrylonitrile (PAN) were fabricated with and without heat-press post-treatment at 170 ˚C. Different characterization and measurement techniques such as contact angle and liquid entry pressure (LEP) measurements, scanning electron miscroscopy and AGMD tests were used to characterize the resultant electrospun nanofiber membranes (ENMs) and its desalination performance. Surface characterization showed that all ENMs exhibit a rough and superhydrophobic surface (>142 ° water contact angle). Heat-pressing the membrane resulted to thinner thickness (<25 µm thickness) and smaller pore sizes. The AGMD experiments in a cross-flow set up were carried out with constant inlet temperatures at the feed and permeate sides of 60±1.5 and 20±1.5 ˚C, respectively. The feed and permeate velocity were both maintained at 2.4×10-3 m/s. The AGMD module had a membrane area of 21 cm2 and the thickness of the air gap was 3 mm. The ENMs were able to present a water permeate flux of about 19-21 LMH using de-ionized water as feed, which was much higher than that of a commercial PVDF membrane (~14 LMH). The current superhydrophobic and highly porous membranes showed good potential for AGMD application.
Woolford, S & Burnett, IS 1970, 'A Multi-view Profilometry System Using RGB Channel Separated Fringe Patterns and Unscented Kalman Filter', ADVANCES IN VISUAL COMPUTING (ISVC 2014), PT II, International Symposium on Visual Computing 2014, pp. 683-694.
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© Springer International Publishing Switzerland 2014. In this paper a one-shot method to determine the shape of an object from overlapping cosine fringes projected from multiple projectors is presented. This overcomes the limitation with single projector systems that do not allow imaging the entire object with a single shot. The proposed method projects orthogonal fringe patterns of different colours from different projectors and uses colour channel isolation and Fourier domain filtering to isolate the fringes. An Unscented Kaman Filter and smoother are used to demodulate the fringe pattern, which does not rely on a strictly sinusoidal fringe pattern for good results. Sources of error are discussed and their effects on the resulting parameter estimation are shown, as well as methods to reduce their impact. The proposed method is tested on simulations and real world objects and it is shown to be effective to isolate interfering fringes and determine the shape of an object with non-sinusoidal fringes input as opposed to Fourier Transform Profilometry.
Woolford, S, Burnett, IS & IEEE 1970, 'TOWARD A ONE SHOT MULTI-PROJECTOR PROFILOMETRY SYSTEM FOR FULL FIELD OF VIEW OBJECT MEASUREMENT', 2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Florence, Italy, pp. 569-573.
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In this paper a one-shot method to determine the shape of an object from overlapping cosine fringes projected from multiple projectors is presented. This overcomes the limitation with single projector systems that do not allow imaging the entire object with a single shot. The proposed method projects orthogonal fringe patterns from different projectors and uses Fourier domain filtering to isolate the fringes, which are demodulated using an unscented particle filter. Sources of error are discussed and their effects on the resulting parameter estimation are shown, as well as methods to reduce their impact. The proposed method is tested on simulations and real world objects and it is shown to be effective to isolate interfering fringes and determine the shape of an object. © 2014 IEEE.
Wu, D, Zhang, G, Lu, J & IEEE 1970, 'A Fuzzy Tree Matching-Based Personalised E-Learning Recommender System', 2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), IEEE International Conference on Fuzzy Systems, IEEE, Beijing, China, pp. 1898-1904.
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© 2014 IEEE. The rapid development of e-learning systems provides learners great opportunities to access the learning activities online, which greatly supports and enhances learning practices. However, too many learning activities are emerging in the e-learning system, which makes it difficult for learners to select proper ones for their particular situations since there is no personalised service function. Recommender systems, which aim to provide personalised recommendations, can be used to solve this issue. However, e-learning systems have two features to handle: (1) data of learners and leaning activities often present tree structures; (2) data are often vague and uncertain in practice. In this study, a fuzzy tree-structured data model is proposed to comprehensively describe the complex learning activities and learner profiles. A tree matching method is then developed to match the similar learning activities or learners. To deal with the uncertain category issues, a fuzzy category tree and relevant similarity measure are developed. A hybrid recommendation approach, which considers precedence relations between learning activities and combines the semantic and collaborative filtering similarities between learners, is developed. The proposed approach can handle the special requirements in e-learning environment and make proper recommendations in e-learning systems.
Wu, J, Luo, Z, Zhang, N & Zhang, Y 1970, 'Hybrid uncertainties optimization using the orthogonal polynomials expansion', 8th Australasian Congress on Applied Mechanics, ACAM 2014, as Part of Engineers Australia Convention 2014, Australasian Congress on Applied Mechanics, Informit, Melbourne, Australia, pp. 888-896.
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A new engineering design optimization method under uncertainties is proposed in this paper, in which both the random uncertainty and interval uncertainty are considered simultaneously. The evaluation functions (objective and constraints) are expanded with respect to the uncertain parameters by using the orthogonal polynomials. The Polynomial-Chaos-Chebyshev-Interval (PCCI) method is used to realize the expansion, which is able to settle the random uncertainty and interval uncertainty in an integral framework. The proposed hybrid uncertainty optimization will be compared with the traditional deterministic optimization and the random uncertainty optimization through a structure design optimization problem.
Wu, K, Ranasinghe, R & Dissanayake, G 1970, 'A fast pipeline for textured object recognition in clutter using an RGB-D sensor', 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), IEEE, Marina Bay Sands, Singapore, pp. 1650-1655.
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This paper presents a modular algorithm pipeline for recognizing textured household objects in cluttered environment and estimating 6 DOF poses using an RGB-D sensor. The method draws from recent advances in this area and introduces a number of innovations that enable improved performances and faster operational speed in comparison with the state-of-the-art. The pipeline consists of (i) support plane subtraction (ii) SIFT feature extraction and approximate nearest neighbour based
matching (iii) feature clustering using 3D Eculidean distances (iv) SVD based pose estimation in combination with a outlier rejection strategy named SORSAC ( Spatially ORdered RAndom Consensus ) and (v) a pose combination and refinement step to
combine overlapping identical instances and to refine the pose estimation result by removing incorrect hypothesis. Quantitative comparisons with the MOPED [1] system on self-constructed dataset are presented to demonstrate the effectiveness of the pipeline.
Wu, L, Du, L, Liu, B, Xu, G, Ge, Y, Fu, Y, Li, J, Zhou, Y & Xiong, H 1970, 'Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval', 2014 IEEE International Conference on Data Mining (ICDM), IEEE International Conference on Data Mining, IEEE, Shenzhen, PEOPLES R CHINA, pp. 610-619.
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The problem of software artifact retrieval has the goal to effectively locate software artifacts, such as a piece of source code, in a large code repository. This problem has been traditionally addressed through the textual query. In other words, information retrieval techniques will be exploited based on the textual similarity between queries and textual representation of software artifacts, which is generated by collecting words from comments, identifiers, and descriptions of programs. However, in addition to these semantic information, there are rich information embedded in source codes themselves. These source codes, if analyzed properly, can be a rich source for enhancing the efforts of software artifact retrieval. To this end, in this paper, we develop a feature extraction method on source codes. Specifically, this method can capture both the inherent information in the source codes and the semantic information hidden in the comments, descriptions, and identifiers of the source codes. Moreover, we design a heterogeneous metric learning approach, which allows to integrate code features and text features into the same latent semantic space. This, in turn, can help to measure the artifact similarity by exploiting the joint power of both code and text features. Finally, extensive experiments on real-world data show that the proposed method can help to improve the performances of software artifact retrieval with a significant margin.
Wu, L, Qiu, X, Burnett, IS, Cheng, E & Guo, Y 1970, 'A decoupled hybrid structure for active noise control with uncorrelatednarrowband disturbances', INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control, INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control.
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In real active noise control (ANC)applications,the following situations frequently occur, one isthat disturbances only present at the error sensor and havelowcorrelation with reference signal, the other is thatthere is no enough space or ideal position for locating the reference sensor to satisfy causality condition. Thusthe residual noise after feedforward control can be seen as uncorrelated narrowband disturbancesin these situationsand ahybrid adaptive feedforward and feedback structure is often utilized to cope with this problem.Many efforts have been paid to improve the performance of the hybrid ANC system, nevertheless, few interests are concerned about the combination method between the feedforward and feedback structure. After investigating the conventional combination method of hybrid feedforward and feedback system, this paper introduces analternate combination method for hybrid ANC systemwhich featuresthat itavoidsthe coupling between the feedforward and feedback structures and both structures are concatenated to attenuate the ambient noise. Simulations are carried out to validatethe effectiveness of the introduced methodfor ANCwith uncorrelated narrowband disturbances.
Wu, M & Lu, DD-C 1970, 'An active damping method for stabilization of cascaded connected two stage converter systems with constant power loads in DC microgrids', 2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, Melbourne VIC, Australia, pp. 2664-2667.
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In DC microgrids, the operation of the constant power load (CPL) and its associated input filter is very likely poorly damped if no damping method is applied. Active damping methods can significantly improve the power efficiency comparing with the passive damping methods. This paper proposes an active damping method which builds a virtual resistance in the source side converter, and it can effectively stabilize the DC microgrids with CPLs. The advantage of this active damping method is that the stabilization effect is from the source side converters, and therefore, there is no need to sacrifice the transient performance of the CPL. Simulation and experimental results are reported to verify the effectiveness of the proposed idea. © 2014 IEEE.
Xindong Wu, Ester, M & Guandong Xu 1970, 'Welcome from the ASONAM 2014 program chairs', 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), IEEE, p. xiv.
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Xu, C, Zhao, G, Xie, G & Yu, S 1970, 'Detection on application layer DDoS using random walk model', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, AUSTRALIA, pp. 707-712.
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Xu, J, Wu, C, Xiang, H, Su, Y, Li, Z-X, Fang, Q, Hao, H, Liu, Z, Zhang, Y & Li, J 1970, 'Experimental study on the response of ultra-high preformance reinforced concrete columns under blast loading', 6th International Conference on Protection of Structures against Hazards, Tianjin.
Xu, J, Wu, Q, Zhang, J, Silk, B, Ngo, GT & Tang, Z 1970, 'Efficient People Counting with Limited Manual Interferences', 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, Wollongong, NSW, Australia.
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© 2014 IEEE. People counting is a topic with various practical applications. Over the last decade, two general approaches have been proposed to tackle this problem: a) counting based on individual human detection; b)counting by measuring regression relation between the crowd density and number of people. Because the regression based method can avoid explicit people detection which faces several well-known challenges, it has been considered as a robust method particularly on a complicated environments. An efficient regression based method is proposed in this paper, which can be well adopted into any existing video surveillance system. It adopts color based segmentation to extract foreground regions in images. Regression is established based on the foreground density and the number of people. This method is fast and can deal with lighting condition changes. Experiments on public datasets and one captured dataset have shown the effectiveness and robustness of the method.
Xu, L, Gong, C, Yang, J, Wu, Q, Yao, L & IEEE 1970, 'VIOLENT VIDEO DETECTION BASED ON MoSIFT FEATURE AND SPARSE CODING', 2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Florence, Italy, pp. 3538-3542.
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To detect violence in a video, a common video description method is to apply local spatio-temporal description on the query video. Then, the low-level description is further summarized onto the high-level feature based on Bag-of-Words (BoW) model. However, traditional spatio-temporal descriptors are not discriminative enough. Moreover, BoW model roughly assigns each feature vector to only one visual word, therefore inevitably causing quantization error. To tackle the constrains, this paper employs Motion SIFT (MoSIFT) algorithm to extract the low-level description of a query video. To eliminate the feature noise, Kernel Density Estimation (KDE) is exploited for feature selection on the MoSIFT descriptor. In order to obtain the highly discriminative video feature, this paper adopts sparse coding scheme to further process the selected MoSIFTs. Encouraging experimental results are obtained based on two challenging datasets which record both crowded scenes and non-crowded scenes. © 2014 IEEE.
Xu, P, Ye, M, Li, X, Liu, Q, Yang, Y & Ding, J 1970, 'Dynamic Background Learning through Deep Auto-encoder Networks', Proceedings of the 22nd ACM international conference on Multimedia, MM '14: 2014 ACM Multimedia Conference, ACM, Orlando, FL, USA.
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Xu, Q, Wang, M, Du, Z & Zhang, Y 1970, 'A Positioning Algorithm of Autonomous Car Based on Map-matching and Environmental Perception', 2014 33RD CHINESE CONTROL CONFERENCE (CCC), 33rd Chinese Control Conference (CCC), IEEE, PEOPLES R CHINA, Nanjing, pp. 707-712.
Xu, Y, Zhu, H & Lee, JE-Y 1970, 'Piezoresistive sensing in a strongly-coupled high Q Lamé mode silicon MEMS resonator-pair', 2014 IEEE International Frequency Control Symposium (FCS), 2014 IEEE International Frequency Control Symposium (FCS), IEEE.
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Xu, Z, Tsang, IW, Yang, Y, Ma, Z, Hauptmann, AG & IEEE 1970, 'Event Detection using Multi-Level Relevance Labels and Multiple Features', 2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), IEEE Conference on Computer Vision and Pattern Recognition, IEEE, Columbus, OH, pp. 97-104.
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We address the challenging problem of utilizing related exemplars for complex event detection while multiple features are available. Related exemplars share certain positive elements of the event, but have no uniform pattern due to the huge variance of relevance levels among different related exemplars. None of the existing multiple feature fusion methods can deal with the related exemplars. In this paper, we propose an algorithm which adaptively utilizes the related exemplars by cross-feature learning. Ordinal labels are used to represent the multiple relevance levels of the related videos. Label candidates of related exemplars are generated by exploring the possible relevance levels of each related exemplar via a cross-feature voting strategy. Maximum margin criterion is then applied in our framework to discriminate the positive and negative exemplars, as well as the related exemplars from different relevance levels. We test our algorithm using the large scale TRECVID 2011 dataset and it gains promising performance.
Xuan, J, Lu, J, Zhang, G & Luo, X 1970, 'Release 'Bag-of-Words' Assumption of Latent Dirichlet Allocation', FOUNDATIONS OF INTELLIGENT SYSTEMS (ISKE 2013), International Conference on Intelligent Systems and Knowledge Engineering, Springer Berlin Heidelberg, Shenzhen, PEOPLES R CHINA, pp. 83-92.
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Based on vector-based representation, topic models, like latent Dirichlet allocation (LDA), are constructed for documents with 'bag-of-words' assumption. They can discover the distribution of underlying topics in a document and the distribution of keywords in a topic, which have been proved very successful and practical in many scenarios, recently. Comparing vector-based representation of documents, graph-based representation method can preserve more semantics of documents, because not only keywords but also the relations between them in documents are considered. In this paper, a topic model for graph-represented documents (GTM) is proposed. In this model, a Bernoulli distribution is used to model the formation of the edge between two keywords in a document. The experimental results show that GTM outperforms LDA in document classification task using the unveiled topics from these two models to represent documents. © Springer-Verlag Berlin Heidelberg 2014.
Xuan, J, Lu, J, Zhang, G, Luo, X & IEEE 1970, 'Extension of Similarity Measures in VSM: from Orthogonal Coordinate System to Affine Coordinate System', PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), IEEE International Joint Conference on Neural Networks, IEEE, Beijing, China, pp. 4084-4091.
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Similarity measures are the foundations of many research areas, e.g. information retrieval, recommender system and machine learning algorithms. Promoted by these application scenarios, a number of similarity measures have been proposed and proposing. In these state-of-the-art measures, vector-based representation is widely accepted based on Vector Space Model (VSM) in which an object is represented as a vector composed of its features. Then, the similarity between two objects is evaluated by the operations on two corresponding vectors, like cosine, extended jaccard, extended dice and so on. However, there is an assumption that the features are independent of each others. This assumption is apparently unrealistic, and normally, there are relations between features, i.e. the co-occurrence relations between keywords in text mining area. In this paper, a space geometry-based method is proposed to extend the VSM from the orthogonal coordinate system (OVSM) to affine coordinate system (AVSM) and OVSM is proved to be a special case of AVSM. Unit coordinate vectors of AVSM are inferred by the relations between features which are considered as angles between these unit coordinate vectors. At last, five different similarity measures are extended from OVSM to AVSM using unit coordinate vectors of AVSM. Within the numerous application fields of similarity measures, the task of text clustering is selected to be the evaluation criterion. Documents are represented as vectors in OVSM and AVSM, respectively. The clustering results show that AVSM outweighs the OVSM.
Yang, C, Sheng, D, Carter, JP, Pineda, J & Kelly, R 1970, 'From Compression Behavior to Plastic Anisotropy of Reconstituted Soft Soils', Soil Behavior and Geomechanics, Geo-Shanghai 2014, American Society of Civil Engineers, pp. 658-667.
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The plastic anisotropy of reconstituted soft soils is described from the compression behaviour observed during radial loading paths in stress space. A unique relationship is established between the orientation of the yield surface and the corresponding normal compression line, which indicates that a stabilized fabric is maintained under continuous loading along radial stress paths. The equilibrium orientation angle of the plastic potential surface is obtained explicitly. A new rotational hardening law is proposed by considering the dependence of the evolution of anisotropic fabric with the current stress condition and plastic strain. An elastoplastic constitutive model for anisotropic soil is formulated within the framework of Critical State Soil Mechanics. Validation with experimental data and predictions from other models demonstrate the feasibility of the basic concept and the capacity of the proposed new model. © 2014 American Society of Civil Engineers.
Yang, M & Sharma, D 1970, 'Impacts of Electricity Market Reforms on Investments in the Power Sector', 4th International Association for Energy Economics (IAEE) Asian Conference, IAEE Online Proceedings, Beijing.
Yang, X, Cui, Q, Dutkiewicz, E, Huang, X, Tao, X & Fang, G 1970, 'Anti-noise-folding regularized subspace pursuit recovery algorithm for noisy sparse signals', 2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, Istanbul, Turkey, pp. 275-280.
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© 2014 IEEE. Denoising recovery algorithms are very important for the development of compressed sensing (CS) theory and its applications. Considering the noise present in both the original sparse signal x and the compressive measurements y, we propose a novel denoising recovery algorithm, named Regularized Subspace Pursuit (RSP). Firstly, by introducing a data pre-processing operation, the proposed algorithm alleviates the noise-folding effect caused by the noise added to x. Then, the indices of the nonzero elements in x are identified by regularizing the chosen columns of the measurement matrix. Afterwards, the chosen indices are updated by retaining only the largest entries in the Minimum Mean Square Error (MMSE) estimated signal. Simulation results show that, compared with the traditional orthogonal matching pursuit (OMP) algorithm, the proposed RSP algorithm increases the successful recovery rate (and reduces the reconstruction error) by up to 50% and 86% (35% and 65%) in high noise level scenarios and inadequate measurements scenarios, respectively.
Ye, D, Su, Y, Sui, Y & Xue, J 1970, 'WPBOUND: Enforcing Spatial Memory Safety Efficiently at Runtime with Weakest Preconditions', 2014 IEEE 25th International Symposium on Software Reliability Engineering, 2014 IEEE 25th International Symposium on Software Reliability Engineering (ISSRE), IEEE, Naples, ITALY, pp. 88-99.
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Ye, D, Sui, Y & Xue, J 1970, 'Accelerating Dynamic Detection of Uses of Undefined Values with Static Value-Flow Analysis', Proceedings of Annual IEEE/ACM International Symposium on Code Generation and Optimization, CGO '14: 12th Annual IEEE/ACM International Symposium on Code Generation and Optimization, ACM, pp. 154-164.
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Uninitialized variables can cause system crashes when used and security vulnerabilities when exploited. With source rather than binary instrumentation, dynamic analysis tools such as MSan can detect uninitialized memory uses at significantly reduced overhead but are still costly. In this paper, we introduce a static value-flow analysis, called Usher, to guide and accelerate the dynamic analysis performed by such tools. Usher reasons about the definedness of values using a value-flow graph (VFG) that captures def-use chains for both top-level and address-taken variables interprocedurally and removes unnecessary instrumentation by solving a graph reachability problem. Usher works well with any pointer analysis (done a priori) and facilitates advanced instrumentation-reducing optimizations (with two demonstrated here). Implemented in LLVM and evaluated using all the 15 SPEC2000 C programs, Usher can reduce the slowdown of MSan from 212% - 302% to 123% - 140% for a number of configurations tested. Copyright © 2014 by the Association for Computing Machinery, Inc. (ACM).
Ye, T, Veitch, D & Johnson, S 1970, 'RA-inspired codes for efficient information theoretic multi-path network security', Proceedings of 2014 International Symposium on Information Theory and Its Applications, ISITA 2014, International Symposium on Information Theory and Its Applications, IEEE, Australia, pp. 408-412.
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Mobile devices have multiple network interfaces, some of which have security weaknesses, yet are used for sensitive data despite the risk of eavesdropping. We describe a data-splitting approach which, by design, maps exactly to a wiretap channel, thereby offering information theoretic security. Being based on the deletion channel, it perfectly hides block boundaries from the eavesdropper, which enhances security further. We provide an efficient Repeat Accumulate inspired code design, which satisfies the security criterion, and explore its security rate as a function block size and other parameters.
Yin, H, Cui, B, Chen, L, Hu, Z & Huang, Z 1970, 'A temporal context-aware model for user behavior modeling in social media systems', Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, SIGMOD/PODS'14: International Conference on Management of Data, ACM, Snowbird, UT, USA, pp. 1543-1554.
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Social media provides valuable resources to analyze user behaviors and capture user preferences. This paper focuses on analyzing user behaviors in social media systems and designing a latent class statistical mixture model, named temporal context-aware mixture model (TCAM), to account for the intentions and preferences behind user behaviors. Based on the observation that the behaviors of a user in social media systems are generally influenced by intrinsic interest as well as the temporal context (e.g., the public's attention at that time), TCAM simultaneously models the topics related to users' intrinsic interests and the topics related to temporal context and then combines the influences from the two factors to model user behaviors in a unified way. To further improve the performance of TCAM, an item-weighting scheme is proposed to enable TCAM to favor items that better represent topics related to user interests and topics related to temporal context, respectively. Based on TCAM, we design an efficient query processing technique to support fast online recommendation for large social media data. Extensive experiments have been conducted to evaluate the performance of TCAM on four real-world datasets crawled from different social media sites. The experimental results demonstrate the superiority of the TCAM models, compared with the state-of-the-art competitor methods, by modeling user behaviors more precisely and making more effective and efficient recommendations. © 2014 ACM.
Yokota, H 1970, 'Practical application of life-cycle management system for shore protection facilities', Life-Cycle of Structural Systems: Design, Assessment, Maintenance and Management - Proceedings of the 4th International Symposium on Life-Cycle Civil Engineering, IALCCE 2014, CRC Press, pp. 109-114.
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A changing climate may result in more intense tropical cyclones and storms, more intense rain events and flooding, and other natural hazards. Moreover, increases in CO2 atmospheric concentrations, and changes in temperature and humidity, may reduce the durability of concrete, steel and timber structures. There is increasing research that takes into account the changing climate risks and life-cycle costs in engineering to reduce the vulnerability or increase the resiliency of infrastructure - we define this as ‘climate adaptation engineering’. The paper will describe how risk-based approaches are well suited to optimising climate adaptation strategies related to the construction, design, operation and maintenance of built infrastructure. Stochastic methods are used to model infrastructure performance, risk reduction and effectiveness of adaptation strategies, exposure, and costs. These concepts will be illustrated with state-of-the-art research on risk-based lifecycle assessment of climate adaptation strategies. Uncertainties of climate projections are also discussed. This will pave the way for more efficient and resilient infrastructure, and help ‘future proof’ new and existing infrastructure to a changing climate.
Yu, Y, Dackermann, U, Li, J & Yan, N 1970, 'Guided-wave-based damage detection of timber poles using a hierarchical data fusion algorithm', Proceedings fo the 23rd Australasian Conference on the Mechanics of Structures and Materials, Australasian Conference on the Mechanics of Structures and Materials, Southern Cross University, Byron Bay, Australia, pp. 1203-1208.
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This paper presents a hierarchical data fusion algorithm based on the combination of wavelettransform (WT), back propagation neural network (BPNN) and Dempster-Shafer (D-S) evidencetheory for the multi-sensor guided-wave-based (GW-based) damage detection of in-situ timber utilitypoles. In the data-level fusion, noise elimination is performed on the original wave data to obtainsingle-mode signals using WT technology. Statistical information is extracted from the single-modelsignals as major characteristic parameters. In the feature-level fusion, for each sensor in the testingsystem, two sub-networks corresponding to different types of GW signals are constructed based onBPNN and characteristic parameters are sent to the networks for initial state recognition. In thedecision-level fusion, the D-S evidence theory method is adopted to combine the initial results fromdifferent sensors for final decision making. The overall algorithm employs a hierarchical configuration,in which the results from the former level are regarded as input to the next level. To validate theproposed method, it was tested on GW signals from in-situ timber poles. The obtained damagedetection results clearly demonstrate the effectiveness and accuracy of the proposed algorithm.
Yu, Y, Li, Y & Li, J 1970, 'A New Hysteretic Model for Magnetorheological Elastomer Base Isolator and Parameter Identification Based on Modified Artificial Fish Swarm Algorithm', Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), 31st International Symposium on Automation and Robotics in Construction, International Association for Automation and Robotics in Construction (IAARC), Sydney, pp. 176-183.
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Magnetorheological elastomer (MRE) base isolator is a new semi-active control device that has recently acquired more attention. This paper proposes a new model for MRE base isolator to portray the nonlinear hysteresis between generated force and the displacement. In this model, a hyperbolic expression is proposed to compare with the classical Bouc-Wen model, which includes internal dynamics represented by a nonlinear differential equation. For the identification of model parameters, a modified artificial fish swarm algorithm is adopted using the experimental force-displacement/velocity data under different testing conditions. In this algorithm, a self-adaptive method for adjusting the algorithm parameters is introduced to improve the result accuracy. Besides, the behaviours in the algorithm are simplified to descend the algorithmic complexity. Parameter identification results are included to demonstrate the accuracy of the model and the effectiveness of the identification algorithm.
Yu, Y, Li, Y & Li, J 1970, 'A Novel Strain Stiffening Model for Magnetorheological Elastomer Base Isolator and Parameter Estimation Using Improved Particle Swarm Optimization', Proceedings of the 6th edition of the World Conference of the International Association for Structural Control and Monitoring (IACSM), Sixth World Conference on Structural Control and Monitoring (6WCSCM), International Center for Numerical Methods in Engineering (CIMNE), Barcelona, Spain.
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In order to fully utilize the advantages of magnetorheological elastomer (MRE) base isolator for seismic protection of civil structures, a high fidelity model should be established to characterize its nonlinear hysteresis for its implementation in structural control. In this paper, a novel strain stiffening model is developed to capture this unique characteristic. In this model, a strain stiffening component, which described the unique viscos-elastic behavior of the device, is incorporated with a Voigt element, which portrays the solid-material behavior. The new model, as an attractive feature, maintains a relationship between the isolator parameters and physical force-displacement nonlinear phenomenon and decreases the complexity in other existing models. In addition to the proposed model, an improved optimization algorithm based on particle swarm optimization (IPSO) is designed to identify the model parameters by utilizing experimental force-displacement-velocity data acquired from various loading conditions. In this new algorithm, the mutation operation in genetic algorithm is utilized for helping the model solution avoiding the local optimum. The superiority of the proposed model and parameter solving algorithm is validated by comparing them with the classical Bouc-Wen model and other optimization algorithms through the error analysis, respectively. The comparison results show that the proposed model can exactly predict the force-displacement and force-velocity responses at both small and large displacements, and has a smaller root-mean-square (MSE) error than the Bouc-Wen model. Compared with other optimization algorithm, the IPSO not only has a faster convergence rate, but also obtains the satisfactory parameters identification results.
Yu, Y, Li, Y & Li, J 1970, 'Parameter Identification Of An Improved Dahl Model For Magnetorheological Elastomer Base Isolator Based On Enhanced Genetic Algorithm', Proceedings of the 23rd Australasian Conference on the Mechanics of Structures and Materials, Australasian Conference on the Mechanics of Structures and Materials, Southern Cross University, Byron Bay, Australia, pp. 931-936.
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In view of the problems of high nonlinearity and multiple parameters in existing models of magnetorheological elastomer (MRE) base isolator, this paper proposes an improved Dahl model and an enhanced genetic algorithm (GA) for model parameter identification. In this model, the Dahl hysteresis operator is employed to depict the Coulomb force to avoid the estimation of many parameters and this model can perfectly capture the hysteretic behavior of the MRE base isolator at both small and large displacements. To improve the searching efficiency of identification process, adaptive crossover and mutation operators are introduced into the GA to avoid the algorithm falling into the local optimum, achieving faster convergence rate for optimal solutions. Furthermore, an appropriate stopping criterion is designed to reduce the calculation cost. Testing data from a practical MRE base isolator are utilized to validate the proposed algorithm with satisfactory parameter identification results.
Yu, Y, Yan, K, Zhu, X, Wang, G, Luo, D & Sood, S 1970, 'Mining Emerging Patterns of PIU from Computer-Mediated Interaction Events', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Berlin Heidelberg, pp. 66-78.
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It has been almost 20 years since Internet services became an integral part of our lives. Especially recent popularization of SNS (Social Network Services) such as Facebook, more and more people are attracted to Internet. Internet provides many benefits to people, but yields a consequent disturbing phenomenon of obsession with Internet, which is called PIU (Pathological Internet Use) or IAD (Internet Addiction Disorder) in academia. PIU or IAD has negative effects on people's health of mind and body, therefore, it is necessary to detect PIU. Among tools of surfing Internet, since computer is the most widely interactive media, it is significant to mine PIU emerging patterns from human-computer interaction events. As a result, an emerging pattern mining method based on interactive event generators, called PIU-Miner, is proposed in this paper. Experimental results show that PIU-Miner is an efficient and effective approach to discovering PIU. © 2014 Springer-Verlag.
Yu, Z, Wu, F, Yang, Y, Tian, Q, Luo, J & Zhuang, Y 1970, 'Discriminative coupled dictionary hashing for fast cross-media retrieval', Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval, SIGIR '14: The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, Australia, pp. 395-404.
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Cross-media hashing, which conducts cross-media retrieval by embedding data from different modalities into a common low-dimensional Hamming space, has attracted intensive attention in recent years. The existing cross-media hashing approaches only aim at learning hash functions to preserve the intra-modality and inter-modality correlations, but do not directly capture the underlying semantic information of the multi-modal data. We propose a discriminative coupled dictionary hashing (DCDH) method in this paper. In DCDH, the coupled dictionary for each modality is learned with side information (e.g., categories). As a result, the coupled dictionaries not only preserve the intra-similarity and inter-correlation among multi-modal data, but also contain dictionary atoms that are semantically discriminative (i.e., the data from the same category is reconstructed by the similar dictionary atoms). To perform fast cross-media retrieval, we learn hash functions which map data from the dictionary space to a low-dimensional Hamming space. Besides, we conjecture that a balanced representation is crucial in cross-media retrieval. We introduce multi-view features on the relatively "weak" modalities into DCDH and extend it to multiview DCDH (MV-DCDH) in order to enhance their representation capability. The experiments on two real-world data sets show that our DCDH and MV- DCDH outperform the state-of-the-art methods significantly on cross-media retrieval. Copyright 2014 ACM.
Yu, Z, Zhang, Y, Tang, S, Yang, Y, Tian, Q & Luo, J 1970, 'Cross-media hashing with kernel regression', 2014 IEEE International Conference on Multimedia and Expo (ICME), 2014 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Chengdu, PEOPLES R CHINA.
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Yusof, NM & Pradhan, B 1970, 'Landslide susceptibility mapping along PLUS expressways in Malaysia using probabilistic based model in GIS', IOP Conference Series: Earth and Environmental Science, IOP Publishing, pp. 012031-012031.
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Yusoff, B & Merigó Lindahl, JM 1970, 'Analytical Hierarchy Process under Group Decision Making with Some Induced Aggregation Operators', INFORMATION PROCESSING AND MANAGEMENT OF UNCERTAINTY IN KNOWLEDGE-BASED SYSTEMS, PT I, 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU), Springer International Publishing, Montpellier, FRANCE, pp. 476-485.
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Yuwono, M, Su, SW, Moulton, BD, Guo, Y, Nguyen, HT & IEEE 1970, 'An algorithm for scalable clustering: Ensemble Rapid Centroid Estimation', 2014 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), IEEE Congress on Evolutionary Computation, IEEE, Beijing, pp. 1250-1257.
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This paper describes a new algorithm, called Ensemble Rapid Centroid Estimation (ERCE), designed to handle large-scale non-convex cluster optimization tasks, and estimate the number of clusters with quasi-linear complexity. ERCE stems from a recently developed Rapid Centroid Estimation (RCE) algorithm. RCE was originally developed as a lightweight simplification of the Particle Swarm Clustering (PSC) algorithm. RCE retained the quality of PSC, greatly reduced the computational complexity, and increased the stability. However, RCE has certain limitations with respect to complexity, and is unsuitable for non-convex clusters. The new ERCE algorithm presented here addresses these limitations.
Zao, JK, Lin, C-T, Ko, L-W, She, H-C, Dung, L-R & Chen, B-Y 1970, 'Natural User Interfaces: Cyber-Physical Challenges and Pervasive Applications - A Panel Discussion', 2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom), 2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing(CPSCom), IEEE, Taipei, Taiwan, pp. 467-469.
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© 2014 IEEE. This panel discussion aims at exploring the potential applications of emerging natural user interface (NUI) technologies and the challenges they pose to the design and deployment of cyber-physical systems. Based on their research work, six panelists will take turns to present the outlook, the cyber-physical requirements and the promising applications of implicit NUI. We hope these short presentations will lead to thought-provoking discussions and inspire further innovation.
Zhang, B, Wang, Y, Wang, Y & Chen, F 1970, 'Stable Learning in Coding Space for Multi-class Decoding and Its Extension for Multi-class Hypothesis Transfer Learning', 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Columbus, OH, pp. 1075-1081.
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Zhang, G & Heusdens, R 1970, 'Convergence of Min-Sum-Min Message-Passing for Quadratic Optimization', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Joint European Conference on Machine Learning and Knowledge Discovery in Databases ECML PKDD 2014, Springer Berlin Heidelberg, pp. 353-368.
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We propose a new message-passing algorithm for the quadratic optimization problem. As opposed to the min-sum algorithm, the new algorithm involves two minimizations and one summation at each iteration. The new min-sum-min algorithm exploits feedback from last iteration in generating new messages, resembling the Jacobi- relaxation algorithm. We show that if the feedback signal is large enough, the min-sum-min algorithm is guaranteed to converge to the optimal solution. Experimental results show that the min-sum-min algorithm outperforms two reference methods w.r.t. the convergence speed. © 2014 Springer-Verlag.
Zhang, G & Piccardi, M 1970, 'Sequential labeling with structural SVM under the F<inf>1</inf> loss', 2014 IEEE International Conference on Image Processing (ICIP), 2014 IEEE International Conference on Image Processing (ICIP), IEEE, Paris.
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Sequential labeling addresses the classification of sequential data and is of increasing importance for the classification and segmentation of video data. The model traditionally used for sequential labeling is the hidden Markov model where the sequence of class labels to be predicted is encoded as a Markov chain. In recent years, hidden Markov models and other structural models have benefited from minimum-loss training approaches which in many cases lead to greater classification accuracy. However, the loss functions available for training are restricted to decomposable cases such as the zero-one loss and the Hamming loss. Other useful losses such as the F1 loss, equal error rates and others are not available for sequential labeling. For this reason, in this paper we propose a training algorithm that can cater for the F1 loss and any other loss function based on the contingency table. Experimental results over the challenging TUM Kitchen Dataset depicting human actions in a kitchen scenario show that the proposed training approach leads to significant improvement of different performance metrics such as the classification accuracy (4.3 percentage points) and the F1 measure (8.9 percentage points).
Zhang, G, Heusdens, R & Kleijn, WB 1970, 'On the convergence rate of the bi-alternating direction method of multipliers', 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Florence, Italy, pp. 3869-3873.
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Zhang, JA & Huang, X 1970, 'DFT-OFDM systems with real modulation and DC-biasing for intensity modulated direct-detection optical communications', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, IEEE, pp. 3359-3364.
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This paper investigates discrete Fourier Transform (DFT)-precoded OFDM systems (DFT-OFDM) for intensity modulated direct-detection optical communications. Such scheme can be used to support both single and multiple user communications. Two DFT-OFDM systems using real modulation and DC-biasing are proposed. Performance analysis based on signal-to-interference-and-noise ratio (SINR) is provided. Insights are provided for designing choices between different modulations, and between using DC-biasing and asymmetrical clipping approaches. Simulation results show that the proposed schemes largely outperform systems using asymmetrical clipping, particularly in the case of using higher order modulations. © 2014 IEEE.
Zhang, JA, Wei Ni, Matthews, J, Chang-Kyung Sung, Xiaojing Huang, Suzuki, H & Collings, I 1970, 'Low latency integrated point-to-multipoint and e-band point-to-point backhaul for mobile small cells', 2014 IEEE International Conference on Communications Workshops (ICC), 2014 ICC - 2014 IEEE International Conference on Communication Workshop (ICC), IEEE, Sydney, NSW, Australia, pp. 592-597.
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Wireless backhaul is one of the main challenges in small cell deployment. Current wireless backhaul systems have one or more limitations on capacity, link distance and supporting line-of-sight (LOS) links. In this paper, we propose a novel two-tier small-cell backhaul architecture which provides a future-proof, powerful, flexible and scalable solution by using aggregation nodes and integrating sub-6GHz point-to-multipoint (P2MP) and point-to-point E-band links. In the bottom tier of the proposed architecture, local small cells are connected to an aggregation node by P2MP and low-cost mega bits per second (Mbps) E-band links; in the top tier, aggregation nodes are inter-connected by LOS giga bits per second (Gbps) E-band links. PHY and higher layer protocols, which integrate the three different links into a comprehensive solution, are introduced. Designs of devices used in the architecture, which are being developed in CSIRO, are provided. Novel techniques that have been developed for achieving low-latency are detailed. Simulation results show that the backhaul latency can be as low as a few microseconds when only E-band backhaul links are involved. © 2014 IEEE.
Zhang, L, Yang, Y & Zimmermann, R 1970, 'Discriminative Cellets Discovery for Fine-Grained Image Categories Retrieval', Proceedings of International Conference on Multimedia Retrieval, ICMR '14: International Conference on Multimedia Retrieval, ACM, Scotland, pp. 57-64.
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Fine-grained image categories recognition is a challenging task aiming at distinguishing objects belonging to the same basic-level category, such as leaf or mushroom. It is a useful technique that can be applied for species recognition, face verification, and etc. Most of the existing methods have difficulties to automatically detect discriminative object components. In this paper, we propose a new fine- grained image categorization model that can be deemed as an improved version spatial pyramid matching (SPM). In- stead of the conventional SPM that enumeratively conducts cell-to-cell matching between images, the proposed model combines multiple cells into cellets that are highly responsive to object fine-grained categories. In particular, we describe object components by cellets that connect spatially adjacent cells from the same pyramid level. Straightforwardly, image categorization can be casted as the matching between cellets extracted from pairwise images. Toward an effective matching process, a hierarchical sparse coding algorithm is derived that represents each cellet by a linear combination of the basis cellets. Further, a linear discriminant analy- sis (LDA)-like scheme is employed to select the cellets with high discrimination. On the basis of the feature vector built from the selected cellets, fine-grained image categorization is conducted by training a linear SVM. Experimental results on the Caltech-UCSD birds, the Leeds butterflies, and the COSMIC insects data sets demonstrate our model out- performs the state-of-the-art. Besides, the visualized cellets show discriminative object parts are localized accurately. Copyright 2014 ACM.
Zhang, S & Franklin, DR 1970, 'Feasibility Study on the Implementation of IEEE 802.11 on Cloud-Based Radio over Fibre Architecture', 2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE International Conference on Communications, IEEE, Sydney, pp. 2891-2896.
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This paper investigates the throughput performance of the IEEE 802.11 MAC when the physical layer is implemented remotely on a cloud-based SDR platform. An analytical model which considers a non-zero late ACK arrival probability is proposed to analyse throughput performance. Both conventional DCF and the Block ACK enhancement from current IEEE 802.11 standards are analysed using the proposed model. Results show that the network delay variance significantly degrades the performance of conventional DCF while enabling Block ACK significantly reduces this degradation.
Zhang, T, Huang, S & Liu, D 1970, 'Comparison of two strategies of path planning for underwater robot navigation under uncertainty', 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), IEEE, Singapore, pp. 901-906.
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© 2014 IEEE. This paper considers path planning for underwater robot in navigation tasks. The main challenge is how to deal with uncertainties in the underwater environment such as motion model error and sensing error. To overcome this challenge, two high level control methods have been presented and compared, which are based on the Model Predictive Control (MPC) strategy and the Partially Observable Markov Decision Process (POMDP) model, respectively. Navigation time, collision frequency, energy consumption and accuracy in localization are used as the assessment criteria for the two methods. It is shown that the MPC-based method is more efficient for our application scenarios while the POMDP-based method can provide more robust solutions.
Zhang, T, Huang, S & Liu, D 1970, 'Comparison of Two Strategies of Path Planning for Underwater Robot Navigation Under Uncertainty', 2014 13TH INTERNATIONAL CONFERENCE ON CONTROL AUTOMATION ROBOTICS & VISION (ICARCV), 13th International Conference on Control Automation Robotics & Vision (ICARCV), IEEE, Singapore, SINGAPORE, pp. 901-906.
Zhang, T, Zhang, G, Lu, J, Gu, J & IEEE 1970, 'A Novel Evaluation Approach for Power Distribution System Planning based on Linear Programming Model and ELECTRE III', 2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), IEEE International Conference on Fuzzy Systems, Institute of Electrical and Electronics Engineers Inc., Beijing, PEOPLES R CHINA, pp. 1921-1928.
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To evaluate solutions of power distribution system planning (PDSP) is an essential task in smart grid and requires multi-criteria decision making (MCDM). However, the vagueness of attribute values and the fuzziness of weights of criteria need integrate fuzzy techniques with MCDM. In order to incorporate the issues with uncertainty in PDSP evaluation, this paper proposes a novel PDSP approach based on linear programming model and ELECTRE IIL The incomplete weight preference information of decision-maker is elicited and expressed by a group of weight constraint functions, combined these functions with the simple multi-attribute rating technique, a linear programming model is set up to obtain the weights for each solution. Then with the weights and a PDSP model based on ELECTRE III model, the outranking score of each solution compared with other solutions can be calculated, and a net present score for each solution will be obtained for ranking these solutions, DM can choose one desired. A case is demonstrated to show the evaluation process using this approach and the results indicate that this approach incorporating the issues with uncertainty is robust for PDSP evaluation. The results are acceptable to DM.
Zhang, W & Lee, JE-Y 1970, 'Electromagnetic induction readout silicon-on-insulator MEMS resonant magnetometer', 2014 European Frequency and Time Forum (EFTF), 2014 European Frequency and Time Forum (EFTF), IEEE.
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Zhang, X, Krabbenhoft, K & Sheng, DC 1970, 'Particle Finite Element Simulation of Granular Media', Applied Mechanics and Materials, Trans Tech Publications, Ltd., pp. 410-415.
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Despite their ubiquity, the simulation of granular materials poses a continuing challenge in computational mechanics, as these materials can behave like solid, liquid and gas. In this paper, a recently developed version of the Particle Finite Element Method is applied for analyzing the behaviour of granular media under very large deformations. Both quasi-static and dynamic problems are considered. It is shown that this continuum approach is applicable to general large deformation problems of granular materials, including liquid-like flows.
Zhang, Y, Fu, M, Wang, M & Xu, Q 1970, 'A Recognition Method about Lidar Data Based on the Rough Set', 2014 33RD CHINESE CONTROL CONFERENCE (CCC), 33rd Chinese Control Conference (CCC), IEEE, PEOPLES R CHINA, Nanjing, pp. 8402-8407.
Zhang, Y, Xu, X, Lu, H & Dai, Y 1970, 'Two-Stage Obstacle Detection Based on Stereo Vision in Unstructured Environment', 2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, 2014 6th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), IEEE, Hangzhou, PEOPLES R CHINA, pp. 168-172.
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© 2014 IEEE. In an unstructured environment, there are many challenges for obstacle detection. This paper presents an improved method to detect obstacles based on stereo vision in unstructured environments based on salient obstacle extraction. This method can achieve same or higher level of accuracy of obstacle detection compared to the existing salient obstacle detection with significant reduction of computation time. This method consists of two stages. In the first stage, it extracts the salient obstacles which stand out from the background in the stereo images using a fast salient obstacle detection method. In the second stage, it refines the detection of small obstacles by computing the geometric relationships among 3D points using an improved space-variant resolution (SVR) with the continuity and the height constraints. The experiment results show that this improved method can reduce computation time and improve detection accuracy.
Zhang, Y, Zhang, G, Porter, A, Zhu, D & Lu, J 1970, 'Science, Technology & Innovation Textual Data – Oriented Topic Analysis and Forecasting: Model and A Case Study', 5th International Conference on Future-Oriented Technology Analysis (FTA), Brussels.
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Not only the external quantities, but also the potential topics of current Science, Technology & Innovation (ST&I) are changing all the time, and their induced accumulative innovation or, even, disruptive revolution, should be able to heavily influence the whole society in the near future. Addressing and predicting the changes, this paper proposes an analytic method (1) to cluster associated terms and phrases to constitute meaningful technological topics and (2) to identify changing topical emphases, the results of which we carry forward to present mechanisms to forecast prospective developments via Technology Roadmapping approaches. Furthermore, an empirical case study of Award data in the United States National Science Foundation Division of Computer and Communication Foundations is performed to demonstrate the proposed method and the resulting knowledge could hold interests for R&D management and science policy in practice.
Zhang, Y, Zhao, Y, Xiong, R, Wang, Y, Wang, J & Chu, J 1970, 'Spin observation and trajectory prediction of a ping-pong ball', 2014 IEEE International Conference on Robotics and Automation (ICRA), 2014 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Hong Kong, China, pp. 4108-4114.
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For ping-pong playing robots, observing a ball and
predicting a ball’s trajectory accurately in real-time is essential.
However, most existing vision systems can only provide ball’s
position observation, and do not take into consideration the
spin of the ball, which is very important in competitions. This
paper proposes a way to observe and estimate ball’s spin in
real-time, and achieve an accurate prediction. Based on the
fact that a spinning ball’s motion can be separated into global
movement and spinning respect to its center, we construct an
integrated vision system to observe the two motions separately.
With a pan-tilt vision system, the spinning motion is observed
through recognizing the position of the brand on the ball and
restoring the 3D pose of the ball. Then the spin state is estimated
with the method of plane fitting on current and historical
observations. With both position and spin information, accurate
state estimation and trajectory prediction are realized via
Extended Kalman Filter(EKF). Experimental results show the
effectiveness and accuracy of the proposed method.
Zhang, Z, Oberst, S & Lai, JCS 1970, 'A stochastic approach to predicting brake squeal propensity', 21st International Congress on Sound and Vibration 2014, ICSV 2014, 21st International Congress on Sound and Vibration 2014, ICSV 2014, pp. 629-636.
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Brake squeal as a significant noise, vibration and harshness (NVH) issue to the automotive industry is triggered by friction-induced self-excited vibration. Validating theoretical predictions using analytical or numerical models against experiments is difficult because the test results are often not repeatable even under apparently similar operating conditions. The poor repeatability of brake squeal could be attributed to the nonlinearity of the dynamics involved and the uncertainties associated with material properties, boundary conditions (such as contact pressure, temperature, stiffness, exact area of contact) and operating conditions. In this paper, a stochastic approach to predicting brake squeal propensity is examined using an analytical model of a popular 4-DOF friction oscillator with constant friction coefficient. Instability of this model is first estimated using the conventional linear complex eigenvalue analysis (CEA) and compared with calculations of positive friction work. The sensitivity of this deterministic model to variations of parameters such as spring stiffness and damping coefficient is studied. To account for uncertainties in the exact values of parameters, the analytical model is studied using polynomial chaos expansions with beta distribution on a set of Jacobi polynomials. Probabilities for instabilities based on positive friction work are determined and the implications for estimating squeal propensity in a full brake system are discussed.
Zhang, Z, Oberst, S & Lai, JCS 1970, 'Instability prediction of brake squeal by nonlinear stability analysis', INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control, INTERNOISE 2014 - 43rd International Congress on Noise Control Engineering: Improving the World Through Noise Control.
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Prediction of brake squeal as unwanted high frequency noise above 1 kHz remains a challenging problem despite substantial research efforts in the past two decades. Brake squeal, triggered by friction-induced self-excited vibration, can be caused by many different and interacting mechanisms with nonlinear origins in material properties and boundary conditions. Although brake squeal is essentially a nonlinear phenomenon, the standard industrial practice for prediction of brake squeal relies on the linear complex eigenvalue analysis which may under-predict or over-predict the number of unstable vibration modes. Brake squeal can be considered in nonlinear dynamics terms to be caused by a friction-induced self-excitation driven into instability and oscillating in a limit cycle through super-critical Andronov-Hopf bifurcations. In this paper, a nonlinear stability analysis that may be applied to a full brake system is examined using an unforced 4-DOF friction oscillator with cubic nonlinearity. The local bifurcation behaviour of this model is studied using the normal form theory and the nonlinear stability boundary is evaluated. Differences between results of linear and nonlinear analyses are discussed and the limitations of the linear analysis are highlighted. The energy provided by friction and consumed by damping is calculated by multiple scales method to provide a physical explanation for instability generation.
Zhang, Z, Qin, L & Yu, JX 1970, 'Contract & Expand: I/O Efficient SCCs Computing.', ICDE, IEEE International Conference on Data Engineering, IEEE Computer Society, Chicago, IL, pp. 208-219.
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As an important branch of big data processing, big graph processing is becoming increasingly popular in recent years. Strongly connected component (SCC) computation is a fundamental graph operation on directed graphs, where an SCC is a maximal subgraph S of a directed graph G in which every pair of nodes is reachable from each other in S. By contracting each SCC into a node, a large general directed graph can be represented by a small directed acyclic graph (DAG). In the literature, there are I/O efficient semi-external algorithms to compute all SCCs of a graph G, by assuming that all nodes of a graph G can fit in the main memory. However, many real graphs are large and even the nodes cannot reside entirely in the main memory. In this paper, we study new I/O efficient external algorithms to find all SCCs for a directed graph G whose nodes cannot fit entirely in the main memory. To overcome the deficiency of the existing external graph contraction based approach that usually cannot stop in finite iterations, and the external DFS based approach that will generate a large number of random I/Os, we explore a new contraction-expansion based approach. In the graph contraction phase, instead of contracting the whole graph as the contraction based approach, we only contract the nodes of a graph, which are much more selective. The contraction phase stops when all nodes of the graph can fit in the main memory, such that the semi-external algorithm can be used in SCC computation. In the graph expansion phase, as the graph is expanded in the reverse order as it is contracted, the SCCs of all nodes in the graph are computed. Both graph contraction phase and graph expansion phase use only I/O efficient sequential scans and external sorts of nodes/edges in the graph. Our algorithm leverages the efficiency of the semi-external SCC computation algorithm and usually stops in a small number of iterations. We further optimize our approach by reducing the size of nodes and ...
Zhao, G, Li, D, Xu, C, Tang, H & Yu, S 1970, 'Network dynamics of mobile social networks', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, AUSTRALIA, pp. 2478-2483.
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Zhao, L, Huang, S & Dissanayake, G 1970, 'Linear MonoSLAM: A linear approach to large-scale monocular SLAM problems', 2014 IEEE International Conference on Robotics and Automation (ICRA), 2014 IEEE International Conference on Robotics and Automation (ICRA), IEEE, Hong Kong, China, pp. 1517-1523.
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© 2014 IEEE. This paper presents a linear approach for solving monocular simultaneous localization and mapping (SLAM) problems. The algorithm first builds a sequence of small initial submaps and then joins these submaps together in a divide-and-conquer (D&C) manner. Each of the initial submap is built using three monocular images by bundle adjustment (BA), which is a simple nonlinear optimization problem. Each step in the D&C submap joining is solved by a linear least squares together with a coordinate and scale transformation. Since the only nonlinear part is in the building of the initial submaps, the algorithm makes it possible to solve large-scale monocular SLAM while avoiding issues associated with initialization, iteration, and local minima that are present in most of the nonlinear optimization based algorithms currently used for large-scale monocular SLAM. Experimental results based on publically available datasets are used to demonstrate that the proposed algorithms yields solutions that are very close to those obtained using global BA starting from good initial guess.
Zhao, S, Qiu, X & Lu, J 1970, 'Curving sound field reproduction in free field', 21st International Congress on Sound and Vibration 2014, ICSV 2014, 21st International Congress on Sound and Vibration 2014, pp. 2297-2304.
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Curving sound field reproduction refers to recreating sound propagating along a curving trajectory without disturbing the other side. This kind of sound could bypass the obstacle to reach the region behind the obstacle, which is difficult for conventional sound field reproduction system. Curving sound field reproduction can find applications in various situations, for example, speech signal could be delivered to a person without disturbing another person in front of him/her. This paper investigates the mechanisms for generating sound field based on the wave equation and the spatial sampling theory and the method of using linear loudspeaker arrays to generate such a sound field. A method based on ray acoustics to determine the loudspeaker weights is proposed and the simulation results are in good agreement with the theory. Extension to wideband situation of the method is also investigated and proved to be effective in a broad range of frequencies covering the human speech signal spectrum from 300 Hz to 3400 Hz.
Zheng, G, Fang, G, Orgun, MA, Shankaran, R & Dutkiewicz, E 1970, 'Securing wireless medical implants using an ECG-based secret data sharing scheme', 2014 14th International Symposium on Communications and Information Technologies (ISCIT), 2014 14th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Incheon Metropolitan City, Incheon, SOUTH KOREA, pp. 373-377.
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© 2014 IEEE. Wireless Implantable Medical Devices (IMDs), including pacemakers and cardiac defibrillators, often have built-in wireless modules in order to facilitate non-invasive programming and data read-out; however, most IMDs lack a security mechanism. The unique challenge is that IMDs should be able to be accessed by doctors at any legitimate hospital for emergency purposes, but conventional security mechanisms using keys or credentials cannot guarantee that doctors could obtain keys timely in emergency situations. To address this unique challenge, we present an ECG-based Secret Data Sharing (ESDS) scheme for securing wireless IMDs which does not require pre-deployed keys or credentials. The ESDS scheme makes use of electrocardiograph (ECG) features to hide a secret within the IMD before transmission, and then reveal the secret with simultaneously measured ECG features by an external programmer. This scheme can protect IMDs against eavesdropping and other active attacks. In addition, the scheme uses an improved fuzzy vault scheme in which hash functions are substituted for chaff points to hide genuine points on a polynomial. This improvement saves IMD resources in terms of memory and communications, making the ESDS scheme lightweight. Performance analysis shows that the ESDS scheme meets our design goal of security.
Zheng, G, Fang, G, Shankaran, R, Orgun, MA & Dutkiewicz, E 1970, 'An ECG-based Secret Data Sharing scheme supporting emergency treatment of Implantable Medical Devices', 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), IEEE, Sydney, Australia, pp. 624-628.
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© 2014 National Institute of Information and Communicatio. The security issue of wireless Implantable Medical Devices (IMD) is an emerging area of research. The unique challenge here is that an IMD should be accessed by doctors with no authorization for emergency treatments while it still has to be protected from adversaries. In this paper, we propose a novel ECG-based Secret Data Sharing (ESDS) scheme in order to protect the IMD data privacy against eavesdropping and other active attacks from adversaries. The scheme establishes a secure wireless channel wherein the secret is encrypted with a random ECG bit string generated from real-time ECG signals. This secret can only be revealed by an IMD programmer which has the ability of measuring real-time ECG signals synchronously with the IMD. Since there is no pre-deployment of credentials, the IMD can be accessed by doctors without prior authorization. Performance analysis based on the real ECG data shows that the encrypted secret cannot be revealed by non-real-time or other patients' ECG signals; thus, it achieves our design goal of providing robust security.
Zheng, W, Ma, JY, Guo, F, Li, J, Zhou, HM, Xu, XX, Li, L & Zheng, YF 1970, 'A novel biofuel cell based on electrospun collagen-carbon nanotube nanofibres', Bio-Medical Materials and Engineering, International Conference on Biomedical Engineering and Biotechnology (iCBEB), IOS Press, Wuhan, China, pp. 229-235.
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The paper demonstrates a novel glucose/O2 biofuel cell (BFC) based on the electrospun collagen-SWNTs nanofibres with the glucose oxidase (GOD) as the anodic biocatalysts and the laccase as the cathodic biocatalysts. With an average diameter of about (260±95) nm, the electrospun collagen-SWNTs nanofibres exhibited smooth surfaces. The collagen-SWNTs nanofibres modified electrode showed good electron transfer behavior, because of the properties of SWNTs and the three-dimensional reticular structure of the electrospun nanofibers. The GOD and laccase, immobilized in the collagen-SWNTs nanofibres, exhibited good catalytic activity towards glucose oxidation and oxygen reduction through mediators of ferrocene monocarboxylic acid (FMCA) and 2,2'-azinobis (3-ethylbenzthiazoline-6-sulfonic acid) diammonium salt (ABTS), respectively. The maximum power density of the assembled glucose/O2 BFC based on the electrospun collagen-SWNTs nanofibres was ca. 14.3 μW/cm2. Moreover, more than 50% of the initial value remained after continuous operation of 100 h. The results indicated the potential to apply the electrospun collagen-SWNTs nanofibres for novel BFC device.
Zhou, A & Sheng, D 1970, 'Modeling hydro-mechanical behaviors for unsaturated soils with different initial densities via stress-saturation framework with subloading concept', Computer Methods and Recent Advances in Geomechanics, Computer Methods and Recent Advances in Geomechanics, CRC Press, KYOTO, JAPAN, pp. 1385-1390.
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Zhou, AN & Sheng, D 1970, 'Modeling density effect on hydro-mechanical behavior of unsaturated soils', Unsaturated Soils: Research and Applications - Proceedings of the 6th International Conference on Unsaturated Soils, UNSAT 2014, 6th International Conference on Unsaturated Soils (UNSAT), CRC PRESS-TAYLOR & FRANCIS GROUP, Sydney, AUSTRALIA, pp. 503-509.
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This paper presents an advanced constitutive model for unsaturated soil based on subloading surface plasticity. The proposed model is capable of modelling typical hydro-mechanical behaviour of soils compacted to different initial densities. Bishop's effective stress and the effective degree of saturation are selected as two fundamental constitutive variables in the proposed constitutive model. A sub-loading surface and a unified hardening parameter are introduced into the stress-saturation modelling framework to interpret the effects of initial density on hydro-mechanical behaviour of compacted soils. The proposed advanced unsaturated soil model is then validated against a number of experimental results reported in the literature. © 2014 Taylor & Francis Group, London.
Zhou, H, Liu, B, Hou, F, Zhang, N, Gui, L, Chen, J & Shen, XS 1970, 'A QoS supported spectrum allocation scheme for database-assisted secondary access networks', 2014 IEEE/CIC International Conference on Communications in China (ICCC), 2014 IEEE/CIC International Conference on Communications in China (ICCC), IEEE, Shanghai, PEOPLES R CHINA, pp. 835-839.
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Zhou, H, Lu, J, Zhang, G & IEEE 1970, 'An Extended Bilevel Programming Model and Its Kth-Best Algorithm for Dynamic Decision Making in Emergency Situations', 2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN MULTI-CRITERIA DECISION-MAKING (MCDM), IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, IEEE, Orlando, FL, USA, pp. 100-105.
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© 2014 IEEE. Linear bilevel programming has been studied for many years and applied in different domains such as transportation, economics, engineering, environment, and telecommunications. However, there is lack of attention of the impacts on dynamic decision making with abrupt or unusual events caused by unpredictable natural environment or human activities (e.g. Tsunami, earthquake, and malicious or terrorist attacks). In reality these events could happens more often and have more significant impacts on decision making in an increasingly complex and dynamic world. This paper addresses this unique problem by introducing a concept of Virtual Follower (VF). An extended model of bilevel multi-follower programming with a virtual follower (BLMFP-VF) is defined and the kth-best algorithm for solving this problem is proposed. An example is given to illustrate the working of the extended model and approach.
Zhou, J, Dutkiewicz, E, Liu, RP, Fang, G & Liu, Y 1970, 'Modified Elite Chaotic Immune Clonal Selection Algorithm for sever resource allocation in cloud computing systems', 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), IEEE, Sydney, Australia, pp. 226-231.
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© 2014 National Institute of Information and Communicatio. Cloud computing is a promising technology to improve computational efficiency for both IT enterprise and individuals. Resource allocation in cloud computing is very challenging as both server computing power and network bandwidth are limited. The computational efficiency of cloud computing system can be significantly improved if the resources are allocated in a balanced fashion. However, resource allocation in cloud computing is a multi-constrained nonlinear optimization problem. The computational complexity for an exhaustive search over all combinations of resource allocations is too high for practical implementation. In this paper, we develop a Modified Elite Chaotic Immune Clonal Selection Algorithm to increase the overall efficiency of the system. An elite strategy and chaotic approaches are designed to improve population diversity and escape from local optima. Performance comparisons are made with simulated annealing algorithm (SA) and three other heuristic algorithms. Simulation results show that the Modified Elite Chaotic Immune Clonal Selection Algorithm solves the resource allocation problem with higher system resource efficiency than all other heuristic algorithms.
Zhou, J, Dutkiewicz, E, Liu, RP, Fang, G & Liu, Y 1970, 'QoS routing based on parallel elite clonal quantum evolution for multimedia wireless sensor networks', 2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, Istanbul, Turkey, pp. 2498-2503.
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© 2014 IEEE. Quality of Service (QoS) routing is one of the key enabling techniques for multimedia wireless sensor networks (WSNs). However, the multi-constraints QoS routing problem is an NP-hard problem, and the computational complexity of an exhaustive search over all the paths is too high for large scale multimedia WSNs. In this paper, a novel parallel elite clonal quantum evolutionary algorithm is proposed to solve the multi-constraints QoS routing problem. The proposed algorithm minimizes the energy consumption, while guaranteeing QoS performance, including delay, bandwidth, delay jitter and packet loss rate, in multimedia WSNs. The algorithm is tested by extensive simulations and its performance is compared with the genetic algorithm and ant colony optimization. Simulation results demonstrate that the proposed algorithm achieves lower energy consumption at a faster convergence rate than the other two evolutionary algorithms.
Zhou, J, Dutkiewicz, E, Liu, RP, Fang, G, Liu, Y & Huang, X 1970, 'A modified shuffled frog leaping algorithm for PAPR reduction in OFDM systems', TENCON 2014 - 2014 IEEE Region 10 Conference, TENCON 2014 - 2014 IEEE Region 10 Conference, IEEE, Piscataway, USA.
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© 2014 IEEE. Reducing peak-to-average power ratio (PAPR) is an implementation challenge in orthogonal frequency division multiplexing (OFDM) systems. One way to reduce PAPR is to apply a set of selected partial transmission sequence (PTS) to the transmit signals. However, PTS selection is a highly complex NP-hard problem and the computational complexity is very high when a large number of subcarriers are used in the OFDM system. In this paper, we propose a new heuristic PTS selection method, the modified chaos clonal shuffled frog leaping algorithm (MCCSFLA-PTS). The MCCSFLA-PTS is inspired by natural clonal selection of frog colony and based on chaos theory. Simulation results show that the proposed MCCSFLA-PTS achieves better PAPR reduction than genetic, quantum evolutionary and selective mapping algorithms. Furthermore, the proposed algorithm converges faster than the genetic and quantum evolutionary algorithms.
Zhou, J, Dutkiewicz, E, Liu, RP, Huang, X, Fang, G & Liu, Y 1970, 'Modified elite chaotic artificial fish swarm algorithm for PAPR reduction in OFDM systems', 2014 14th International Symposium on Communications and Information Technologies (ISCIT), 2014 14th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Incheon Metropolitan City, Incheon, SOUTH KOREA, pp. 503-507.
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© 2014 IEEE. Orthogonal frequency division multiplexing (OFDM) is a leading technology in the field of broadband wireless communications. In OFDM systems, a high peak-to-average power ratio (PAPR) is a critical issue, which may cause a nonlinear distortion and reduce power efficiency. To reduce the PAPR, partial transmit sequences (PTS) technique can be applied to the transmit data. However, the phase factor sequence selection in PTS technique is a non-linear optimization problem and it suffers from high complexity and memory use when there is a large number of non-overlapping sub-blocks in one symbol. In this paper a novel modified elite chaotic artificial fish swarm algorithm for PTS method (MECAFSA-PTS) is proposed to generate the optimum phase factors. The MECAFSA-PTS method is evaluated with extensive simulations and its performance is compared with quantum evolutionary and selective mapping algorithms. Our results show that the proposed MECAFSA-PTS algorithm is efficient in PAPR reduction.
Zhou, J, Hang, K, Oviatt, S, Yu, K & Chen, F 1970, 'Combining empirical and machine learning techniques to predict math expertise using pen signal features', Proceedings of the 2014 ACM workshop on Multimodal Learning Analytics Workshop and Grand Challenge, ICMI '14: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, ACM, pp. 29-36.
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Multimodal learning analytics aims to automatically analyze students' natural communication patterns based on speech, writing, and other modalities during learning activities. This research used the Math Data Corpus, which contains timesynchronized multimodal data from collaborating students as they jointly solved problems varying in difficulty. The aim was to investigate how reliably pen signal features, which were extracted as students wrote with digital pens and paper, could identify which student in a group was the dominant domain expert. An additional aim was to improve prediction of expertise based on joint bootstrapping of empirical science and machine learning techniques. To accomplish this, empirical analyses first identified which data partitioning and pen signal features were most reliably associated with expertise. Then alternative machine learning techniques compared classification accuracies based on all pen features, versus empirically selected ones. The best unguided classification accuracy was 70.8%, which improved to 83.3% with empirical guidance. These results demonstrate that handwriting signal features can predict domain expertise in math with high reliability. Hybrid methods also can outperform blackbox machine learning in both accuracy and transparency.
Zhou, J, Wang, X & Feng, D 1970, 'Importance-aware lighting design in volume visualization', 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on Control Automation Robotics & Vision (ICARCV), IEEE, Singapore, SINGAPORE, pp. 839-843.
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Zhu, H & Lee, JE-Y 1970, 'Orientation dependence of nonlinearity and TCf in high-Q shear-modes of silicon MEMS resonators', 2014 IEEE International Frequency Control Symposium (FCS), 2014 IEEE International Frequency Control Symposium (FCS), IEEE.
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Zhu, H, Tu, C, Lee, JE-Y & Rufer, L 1970, 'Active electronic cancellation of nonlinearity in a High-Q longitudinal-mode silicon resonator by current biasing', 2014 European Frequency and Time Forum (EFTF), 2014 European Frequency and Time Forum (EFTF), IEEE.
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Zhu, T, Li, G, Zhou, W, Xiong, P & Yuan, C 1970, 'Deferentially Private Tagging Recommendation Based on Topic Model', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer International Publishing, pp. 557-568.
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Tagging recommender system allows Internet users to annotate resources with personalized tags and provides users the freedom to obtain recommendations. However, It is usually confronted with serious privacy concerns, because adversaries may re-identify a user and her/his sensitive tags with only a little background information. This paper proposes a privacy preserving tagging release algorithm, PriTop, which is designed to protect users under the notion of differential privacy. 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. We present extensive experimental results on four real world datasets and results suggest the proposed PriTop algorithm can successfully retain the utility of the datasets while preserving privacy. © 2014 Springer International Publishing.
Zhu, X & Jayawardhana, M 1970, 'AN EXPERIMENTAL STUDY FOR DECENTRALIZED DAMAGE DETECTION USING WIRELESS SENSOR NETWORKS', PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL SYMPOSIUM ON STRUCTURAL ENGINEERING, VOLS 1 AND II, 13th International Symposiums on Structural Engineering (ISSE), SCIENCE PRESS BEIJING, Hefei Univ Technol, Hefei, PEOPLES R CHINA, pp. 1768-1777.