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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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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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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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.
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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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.
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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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.
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.
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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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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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.
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.
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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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.
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.
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.
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.
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, 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, 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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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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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.
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.
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, 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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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.
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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Hu, J, Zhu, J & Dorrell, DG 2014, 'A New Control Method of Cascaded Brushless Doubly Fed Induction Generators Using Direct Power Control', IEEE TRANSACTIONS ON ENERGY CONVERSION, vol. 29, no. 3, pp. 771-779.
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Hu, J, Zhu, J & Dorrell, DG 2014, 'In-depth study of direct power control strategies for power converters', IET POWER ELECTRONICS, vol. 7, no. 7, pp. 1810-1820.
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Hu, J, Zhu, J & Dorrell, DG 2014, 'Model predictive control of inverters for both islanded and grid-connected operations in renewable power generations', IET RENEWABLE POWER GENERATION, vol. 8, no. 3, pp. 240-248.
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Hu, J, Zhu, J & Dorrell, DG 2014, 'Model-predictive direct power control of doubly-fed induction generators under unbalanced grid voltage conditions in wind energy applications', IET RENEWABLE POWER GENERATION, vol. 8, no. 6, pp. 687-695.
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Hu, J, Zhu, J, Dorrell, DG & Guerrero, JM 2014, 'Virtual Flux Droop Method-A New Control Strategy of Inverters in Microgrids', IEEE TRANSACTIONS ON POWER ELECTRONICS, vol. 29, no. 9, pp. 4704-4711.
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Huangfu, Y, Wang, S, Qiu, J, Zhang, H, Wang, G & Zhu, J 2014, 'Transient Performance Analysis of Induction Motor Using Field-Circuit Coupled Finite-Element Method', IEEE Transactions on Magnetics, vol. 50, no. 2, pp. 873-876.
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In this paper, the application of field-circuit coupled finite-element method for predicting the performance of induction motor (IM) under a sinusoidal voltage excitation is described. The numerical analysis is performed by solving the nonlinear time-stepping finite-element equations coupled with the circuit equations and mechanical motion equations. The circuit equations are described by means of improved nodal method. The local analytical solution of Laplace equation is used to improve the precision of electromagnetic torque. The performances of both three-and single-phase IMs are simulated using the developed field-circuit coupled code. The comparison among the results calculated by the code, the commercial FE package, FLUX 2-D, and the experiment results suggests the correctness of the field-circuit coupled method and related developed code.
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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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.
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.
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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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.
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.
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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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.
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, S, Kong, X & Sandrasegaran, K 2014, 'Dynamic path of mobile beacon in localisation of wireless sensor network', INTERNATIONAL JOURNAL OF SENSOR NETWORKS, vol. 15, no. 2, pp. 130-141.
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Localisation of sensors within wireless sensor networks (WSNs) with the help of mobile beacons (MB) has been shown to be effective. MB is flexible, movable and a powerful replacement for static beacons. The path of a MB within a field of interest is a determining factor of the success of an algorithm. In static paths, the path is determined a priori, often following a fixed pattern and potentially limited by the concrete terrain of the field. Conversely a dynamic path, which is based on the demand of sensors in the field in a real time, is more flexible and applicable in practice. In this paper, a localisation algorithm that is based on a MB dynamic path is proposed which avoids typical complications and heavy computations to save energy in sensors. Simulation results show that the algorithm can settle sensors within a short walking distance of autonomous MB.
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, Y, Yang, Q, Zhu, J, Zhao, Z, Liu, X & Zhang, C 2014, 'Design and Analysis of a Novel 3-D Magnetization Structure for Laminated Silicon Steel', IEEE Transactions on Magnetics, vol. 50, no. 2, pp. 389-392.
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A novel 3-D magnetic properties tester for laminated silicon steel specimen has been designed and constructed. The magnetization structure is the critical part of the tester especially for the magnetic properties of the laminated silicon steel in perpendicular direction of grain oriented. To guarantee the experimental precision and accurately analyze the 3-D magnetic properties of the laminated silicon steel, a symmetrical 3-D magnetic flux path in the magnetization structure fit for given dimension of specimen has been calculated and modeled. Magnetic flux in each direction has been homogenized and concentrated on the top of the core poles through finite element analysis. Therefore, magnetic properties in each direction of the laminated specimen can be really concerned and analyzed in practical engineering.
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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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, 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.
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, 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 ...
Mahamedi, B & Zhu, JG 2014, 'Unsynchronized Fault Location Based on the Negative-Sequence Voltage Magnitude for Double-Circuit Transmission Lines', IEEE Transactions on Power Delivery, vol. 29, no. 4, pp. 1901-1908.
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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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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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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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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, 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.
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.
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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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.
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.
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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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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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.
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, 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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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.
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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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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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.
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.
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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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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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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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.
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.
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, 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.
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.
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.
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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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.
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 ...
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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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.
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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Tushar, W, Zhang, JA, Smith, DB, Poor, HV & Thiebaux, S 2014, 'Prioritizing Consumers in Smart Grid: A Game Theoretic Approach', IEEE Transactions on Smart Grid, vol. 5, no. 3, pp. 1429-1438.
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This paper proposes an energy management technique for a consumer-to-grid system in smart grid. The benefit to consumers is made the primary concern to encourage consumers to participate voluntarily in energy trading with the central power station (CPS) in situations of energy deficiency. A novel system model motivating energy trading under the goal of social optimality is proposed. A single-leader multiple-follower Stackelberg game is then studied to model the interactions between the CPS and a number of energy consumers (ECs), and to find optimal distributed solutions for the optimization problem based on the system model. The CPS is considered as a leader seeking to minimize its total cost of buying energy from the ECs, and the ECs are the followers who decide on how much energy they will sell to the CPS for maximizing their utilities. It is shown that the game, which can be implemented distributedly, possesses a socially optimal solution, in which the sum of the benefits to all consumers is maximized, as the total cost to the CPS is minimized. Numerical analysis confirms the effectiveness of the game. © 2010-2012 IEEE.
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, 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, 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.
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, 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
Wei, Y, Chen, S, Su, D, Sun, B, Zhu, J & Wang, G 2014, '3D mesoporous hybrid NiCo2O4@graphene nanoarchitectures as electrode materials for supercapacitors with enhanced performances', JOURNAL OF MATERIALS CHEMISTRY A, vol. 2, no. 21, pp. 8103-8109.
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3D mesoporous hybrid NiCo2O4@graphene nanoarchitectures were successfully synthesized by a combination of freeze drying and hydrothermal reaction. Field-emission scanning electron microscopy (FESEM) and TEM analyses revealed that the NiCo2O 4@graphene nanostructures consist of a hierarchical mesoporous sheet-on-sheet nanoarchitecture with a high specific surface area of 194 m 2 g-1. Ultrathin NiCo2O4 nanosheets, with a thickness of a few nanometers and mesopores ranging from 2 to 5 nm, were wrapped in graphene nanosheets and hybrid nanoarchitectures were formed. When applied as electrode materials in supercapacitors, the hybrid NiCo 2O4@graphene nanosheets exhibited a high capacitance of 778 F g-1 at a current density of 1 A g-1, and an excellent cycling performance extending to 10000 cycles at a high current density of 10 A g-1. This journal is © the Partner Organisations 2014.
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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Xie, K, Fu, K, Zhou, T, Zhang, J, Yang, J & Wu, Q 2014, 'Small target detection based on accumulated center-surround difference measure', Infrared Physics & Technology, vol. 67, pp. 229-236.
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Small target detection is a critical problem in the Infrared Search And Track (IRST) system. Although it has been studied for years, there are some difficulties remained due to the clutter environment such as the cloud edge and the horizontal line. In the homogeneous area such as sky, cloud-inner area and sea surface area, target can easily be detected, but in heterogeneous area which contains cloud edge, sky-sea line the target may be falsely detected. This paper proposes a novel method called accumulated center-surround difference measure to detect infrared small target in heavy clutter. Each pixel's accumulated center-surround difference measure is computed by using sliding window manner. The measure can effectively distinguish target region and heterogeneous region. Experimental results show our method achieves better performance. © 2014 Elsevier B.V. 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.
Yang, Q, Li, Y, Zhao, Z, Zhu, L, Luo, Y & Zhu, J 2014, 'Design of a 3-D Rotational Magnetic Properties Measurement Structure for Soft Magnetic Materials', IEEE Transactions on Applied Superconductivity, vol. 24, no. 3, pp. 1-4.
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Yiying Wei, Jianguo Zhu & Guoxiu Wang 2014, 'High-Specific-Capacitance Supercapacitor Based on Vanadium Oxide Nanoribbon', IEEE Transactions on Applied Superconductivity, vol. 24, no. 5, pp. 1-4.
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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.
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, 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.
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.
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, H, Xu, W, Wang, S, Huangfu, Y, Wang, G & Zhu, J 2014, 'Optimum Design of Rotor for High-Speed Switched Reluctance Motor Using Level Set Method', IEEE Transactions on Magnetics, vol. 50, no. 2, pp. 765-768.
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This paper presents a novel rotor structure optimized by using the level set method (LSM) to improve the static torque characteristics of a two-phase 4/2 high-speed switched reluctance motor. The magnetic equivalent circuit approach is used to analyze the influence factors on the static torque. The inner material boundary contained in the rotor saliency, which will be optimized, is implicitly represented by an embedded level set function. The evolution of the inner material boundaries is driven by the normal velocity derived through sensitivity analysis and adjoint variable computation. Optimal rotor configuration produces the nonuniform distribution of magnetic flux density in the air gap at aligned position, which can make the ratio of maximum and minimum inductances increased. High-permeability material is applied to enhance the mean torque. In order to achieve the optimal static torque, the strategy combining finite-element electromagnetic computation with LSM is conducted to optimize the rotor saliency at different rotor positions. The comparison of the optimized rotor configuration using LSM with that using density-based method suggests that the optimized rotor structure obtained using this presented method is easier to implement.
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, 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, 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, Hu, J & Zhu, J 2014, 'Three-Vectors-Based Predictive Direct Power Control of the Doubly Fed Induction Generator for Wind Energy Applications', IEEE Transactions on Power Electronics, vol. 29, no. 7, pp. 3485-3500.
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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.
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, 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, 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.
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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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.
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.
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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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.
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.
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.
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.
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.
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.
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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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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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.
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.
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.
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.
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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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.
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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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, 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.
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.
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.
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.
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.
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.
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, 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.
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, 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.
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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Hu, J, Zhu, J & Guerrero, JM 1970, 'Model predictive control of smart microgrids', 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. 2815-2820.
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Huang, K, Kong, X & Sandrasegaran, K 1970, 'Analysis of the influence to productivity of software corrective maintenance using an economic model', Proceedings of 2nd International Conference on Information Technology and Electronic Commerce, ICITEC 2014, 2014 2nd International Conference on Information Technology and Electronic Commerce (ICITEC), IEEE, Dalian CHINA, pp. 117-121.
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© 2014 IEEE. This paper presents an economic model for productivity of software corrective maintenance. The productivity is modeled using economic value of the maintenance process as the output, and the pre-committed fixed cost and variable cost as input. The relationship of the economic value and these cost components are modeled using analytical theory of investment. The values of corrective maintenance process are analyzed. A simulation approach is demonstrated to analyze the influences to the productivity in corrective maintenance. This approach provides a tool to identify and analyze the optimal parameters in productivity using the economic model and simulation.
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, 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, 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, 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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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.
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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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.
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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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.
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.
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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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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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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Kong, X, Liu, L, Tran, TP & Sandrasegaran, K 1970, 'Analysis of Stakeholder Concerns for Vehicle Navigation System Architecture Solution', The Fifth International Conference on Communications and Electronics, 2014 IEEE Fifth International Conference on Communicatiosn and Electronics (ICCE), Thomson Reuters, Da Nang, Vietnam, pp. 1-6.
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, 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.
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, 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, 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.
Lopez, A, Quevedo, DE, Aguilera, R, Geyer, T & Oikonomou, N 1970, 'Reference design for predictive control of modular multilevel converters', 2014 4th Australian Control Conference (AUCC), 2014 4th Australian Control Conference (AUCC), IEEE, Canberra, Australia, pp. 239-244.
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© 2014 Engineers Australia. This paper proposes a reference design technique for the control of Modular Multilevel Converters. Assuming balanced operation, a reduced-order model for the power converter is developed and its state trajectories are characterized in closed form. This allows one to specify desired references for the current and voltage at the load, and also for the circulating current and capacitor voltages in the converter. A simulation study using finite-set constrained predictive control illustrates advantages of the proposed method.
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.
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.
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, 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.
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.
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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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.
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.
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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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.
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, 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.
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.
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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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.
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.
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.
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.
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.
Sung, CK, Zhang, JA, Chen, Z & Collings, IB 1970, 'Distributed Link Clustering for Clustered Cooperative MIMO', 2014 IEEE 79th Vehicular Technology Conference (VTC Spring), 2014 IEEE Vehicular Technology Conference (VTC 2014-Spring), IEEE, Seoul, South Korea.
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© 2014 IEEE. In the cooperative multiple-input/multiple-output (MIMO), multiple access point (AP)-user links form a cluster to increase achievable throughput by cooperatively mitigating inter-user interference within the cluster. In this paper, we propose a clustered cooperative MIMO endowing a constraint on the cluster size such that the clustered MIMO can be implemented as a distributed version of downlink multiuser MIMO in existing standards with minimal modifications. New greedy algorithm and coalition formation algorithm are proposed using matching theory for establishing clusters and allocating frequencies. Simulation results shows that the proposed algorithms achieve almost 20% higher throughput than the fixed cell planning scheme, with very low searching complexity.
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.
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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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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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.
Tushar, W, Huang, S, Yuen, C, Jian, Zhang & Smith, DB 1970, 'Synthetic Generation of Solar States for Smart Grid: A Multiple Segment Markov Chain Apptoach', arXiv preprint arXiv:1407.4879, IEEE PES Innovative Smart Grid Technologies, Europe, Turkey.
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The use of photovoltaic (PV) sources is becoming very popular in smart gridfor their ecological benefits, with higher scalability and utilization forlocal generation and delivery. PV can also potentially avoid the energy lossesthat are normally associated with long-range grid distribution. The increasedpenetration of solar panels, however, has introduced a need for solar energymodels that are capable of producing realistic synthetic data with small errormargins. Such models, for instance, can be used to design the appropriate sizeof energy storage devices or to determine the maximum charging rate of aPV-powered electric vehicle (EV) charging station. In this regard, this paperproposes a stochastic model for solar generation using a Markov chain approach.Based on real data, it is first shown that the solar states areinter-dependent, and thus suitable for modeling using a Markov model. Then, theprobabilities of transition between states are shown to be heterogeneous overdifferent time segments. A model is proposed that captures the inter temporaldependency of solar irradiance through segmentation of the Markov chain acrossdifferent times of the day. In the studied model, different state transitionmatrices are constructed for different time segments, which the proposedalgorithm then uses to generate the solar states for different times of theday. Numerical examples are provided to show the effectiveness of the proposedsynthetic generator.
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, 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, 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, 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.
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, Y, Wang, G & Zhu, J 1970, 'Synthesis and Characterization of Vanadium Oxide Nanotube Electrode Material for Electrochemical Capacitors', ECS Transactions, Meeting of the Electrochemical-Society (ECS)/Symposium on Corrosion General Session/Symposium on Nanocrystal Embedded Dielectrics for Electronic and Photonic Devices, The Electrochemical Society, San Francisco, CA, pp. 61-67.
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Vanadium oxide nanotube was synthesized by hydrothermal treatment with high-speed stirring. The preparation involved dissolution of V2O5 into H2O2 and high-speed stirring (10000r/min) with hexadecylamine. The product was characterized by using scanning electron microscopy, transmission electron microscope, X-ray diffraction and thermogravimetric analysis. The electrochemical properties of the material as the electrode of electrochemical capacitor were evaluated by cyclic voltammetry in a three electrode system consisting of a saturated calomel electrode as reference electrode, platinum as a counter electrode and the active material as the working electrode. A capacitance of 297F/g was obtained at a scan rate of 2mV/s in 2M KCl, and it still maintained a high capacitance of 210F/g at a higher scan rate of 50mV/s in 2M KCl. Even though the materials achieved the highest capacitance of 304F/g in 2M LiCl at the scan rate of 2mV/s, the specific capacitance degraded significantly as the increase of the scan rate.
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.
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, 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.
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, 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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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, 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.
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.
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, 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, 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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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.
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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