Publications

Lei, G, Zhu, J & Guo, Y 2016, Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems, Springer Berlin Heidelberg, Berlin, Germany.
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This book presents various computationally efficient component- and system-level design optimization methods for advanced electrical machines and drive systems. Readers will discover novel design optimization concepts developed by the authors and other researchers in the last decade, including application-oriented, multi-disciplinary, multi-objective, multi-level, deterministic, and robust design optimization methods. A multi-disciplinary analysis includes various aspects of materials, electromagnetics, thermotics, mechanics, power electronics, applied mathematics, manufacturing technology, and quality control and management. This book will benefit both researchers and engineers in the field of motor and drive design and manufacturing, thus enabling the effective development of the high-quality production of innovative, high-performance drive systems for challenging applications, such as green energy systems and electric vehicles.

Guo, YJ & Qin, P-Y 2016, 'Reconfigurable Antennas for Wireless Communications' in Handbook of Antenna Technologies, Springer Singapore, pp. 2987-3032.
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© Springer Science+Business Media Singapore 2016. All rights reserved. With the capability to dynamically change their radiation characteristics, reconfigurable antennas will become indispensable parts for the next-generation wireless communications and sensing systems where the RF front-ends are required to be cognitive in nature. Compared to traditional antennas whose characteristics are fixed, reconfigurable antennas pose new challenges to antenna researchers and designers, such as tuning the operating frequency of an antenna whilst maintaining its radiation pattern. In the last two decades, substantial progress has been made in the development of reconfigurable antennas from both academia and industry. This chapter provides an overview of the state-of-the-art of reconfigurable antennas by elaborating the basic concepts of different reconfigurable antennas and practical techniques to realize them. It is focused on both reconfigurable antenna elements and arrays, and outlines some directions for future research.

Hoang, DT 2016, 'Backscattering Wireless-Powered Communications' in Dusit, N, Ekram, H, Dong, K, Vijay, B & Lotfollah, S (eds), Wireless-Powered Communication Networks, Cambridge University Press, pp. 217-245.
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Hoang, DT 2016, 'Cognitive Radio Networks with Wireless Energy Harvesting' in Dusit, N, Ekram, H, Dong, K, Vijay, B & Lotfollah, S (eds), Wireless-Powered Communication Networks, Cambridge University Press, pp. 338-382.
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Huang, X 2016, 'Multiband and Multichannel Aggregation for High‐speed Wireless Backhaul' in Mohammed, K, Huq, S & Rodriguez, J (eds), Backhauling/Fronthauling for Future Wireless Systems, Wiley, United Kingdom, pp. 167-194.
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High-speed and long-range wireless backhaul is a cost-effective alternative to a fibre network. The ever-increasing demand for high-speed broadband services mandates higher spectral efficiency and wider bandwidth to be adopted in wireless backhauls. As the wireless mobile networks evolve toward the fifth generation, employing higher-order modulation and performing multiband and multichannel aggregation for wireless backhauling have become industry trends. However, commercially available wireless backhaul systems do not meet the requirements for both high speed and long range at the same time. In this chapter, the various system architectures for multiband and multichannel aggregation are discussed. The challenges for achieving high-speed wireless transmission in multiband and multichannel systems are addressed. These challenges include how to improve spectrum efficiency and power efficiency, how to prevent inter-channel interference and how to ensure low latency, in-order packet delivery and load balance. Various technical solutions are provided with detailed explanations, illustrations and simulation and experimental results.

Kankanamge-Gunawardane, K 2016, 'Control loop design of DC-to-DC converters' in DC Power Supplies: Power Management and Surge Protection for Power Electronic Systems, p. 5.

Masihpour, M, Agbinya, JI & Abolhasan, M 2016, 'Design Issues in EM Energy Harvesting Systems' in Venkataraman, H & Muntean, GM (eds), Green Mobile Devices and Networks, CRC Press, USA, pp. 201-234.
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Energy scavenging dates back to the use of waterwheels and windmills to harvest the energy from the surrounding environment and convert it to useful forms of energy [1]. Energy scavenging techniques have been around for decades to provide electricity from different natural resources, such as wind power, water flow, heat, sunlight, and vibration. However, there has been a new interest in energy harvesting methods recently, due to the mass increase of wireless sensors and low power electronics [1]. Electronic devices, such as mobile phones, laptops, PDAs (Personal DigitalAssistants),medical implant devices, and differenttypes ofsensor nodes, all require a powersourceto operate.Therefore, they are providedwith eitherwires or disposable/rechargeable batteries to supply the power.Thanks to advanced fabrication technologies, very smallsized batteries areintroduced,which aresmallenough to belocated on a chip to power up a sensor node or a smallelectronic handheld [1]. The problem with batteries is that they havelimited lifetimes or they arerequired to berecharged on a regular basis. However, there have been technology advances to optimizethe battery performance and itslifetime,such as dynamic optimization of voltage and clock rate, hybrid analog digital designs, and clever wake up procedures that allow a deviceto go to inactive mode when it is not required to operate a task [1]

McGloin, D, McDonald, C & Belotti, Y 2016, 'Colloidal Interactions with Optical Fields: Optical Tweezers' in Fluids, Colloids and Soft Materials: An Introduction to Soft Matter Physics, John Wiley & Sons, Inc, USA, pp. 111-130.
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© 2016 by John Wiley & Sons, Inc. All rights reserved. This chapter reviews the basic physics and design of an optical tweezers system. It shows how the optical tweezers can be used in a range of studies, with emphasis on colloidal systems. The chapter examines how modern optical tweezers are able to take advantage of the ability to shape optical beams into near arbitrary shapes through a range of technological innovations from the acousto-optical modulator to the spatial light modulator. It also discusses other optical techniques that make use of radiation pressure to manipulate particles that are typically dual-beam traps and can offer some flexibility over optical tweezers for certain applications. The chapter explores the developing fields of nanoparticle manipulation, and aerosol trapping and analysis. The use of optical tweezers in colloidal science is particularly useful for the measurement of interaction forces, as opposed to adhesion, binding, or structural forces involved in biological processes.

Rana, MM, Li, L & Su, S 2016, 'Microgrid State Estimation Using the IoT with 5G Technology' in Mavromoustakis, CX, Mastorakis, G & Batalla, JM (eds), Internet of Things (IoT) in 5G Mobile Technologies, Springer International Publishing, Germany, pp. 175-195.
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Smith, DB & Abolhasan, M 2016, 'Diversity and cooperative communications in body area networks' in Advances in Body-Centric Wireless Communication: Applications and state-of-the-art, Institution of Engineering and Technology, USA, pp. 7-42.
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In this chapter, we investigate diversity and cooperative communications, and particularly cooperative diversity, for body-centric communications in wireless body area networks (BANs). Cooperative diversity for BANs is vitally important for required communications reliability, as well as increasing network and sensor lifetime by potentially reducing energy consumption, as will be shown here. We describe what is meant by cooperative communications and cooperative diversity, including a brief survey of the state-of-the-art. Description and analysis of the benefits of cooperative diversity in BANs is mainly with respect to the physical layer, but there is also some brief discussion of the MAC layer and network layer. In terms of cooperative receive diversity, feasible in IEEE 802.15.6 Standard compliant BAN, several cooperative receive combining techniques are described, which are all beneficial over single-link communications in terms of firstand second-order statistics. A simple, practical, technique of switch-and-examine combining shows good performance in terms of important metrics, and this can be further enhanced when combined with a simple “sample-and-hold” transmit power control, which can help reduce energy consumption for sensor radios.

Subramanian, R, Afroz, F, Sandrasegaran, K & Kong, X 2016, 'SON in Location-Based Services' in Advances in Wireless Technologies and Telecommunication, IGI Global, USA, pp. 115-129.
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This chapter forays into the literature of emerging field of Self-Organization Network (SON) and its application in the area of location-based services. SON is a widely applied technology in the ad hoc networks, wireless sensor networks and automatic computer networks. This chapter deal exclusively about the projects, standards and literature of SON in the context of the cellular networks and how it can aid to achieve higher position accuracy information of the subscriber. Additionally, in this chapter a clear understanding of SON taxonomy and the guidelines for the design of SON has been presented and a comparison of SON with the existing solutions about its strength and weakness has been made in this chapter. The key research areas for further development is also highlighted in this chapter. This literature will provide comprehensive guidance for anyone interested to delve into the research of SON in cellular wireless communication and location based services.

., RMA 2016, 'A SYSTEMATIC REVIEW ON WHAT FEATURES SHOULD BE SUPPORTED BY FITNESS APPS AND WEARABLES TO HELP USERS OVERCOME OBESITY', International Journal of Research in Engineering and Technology, vol. 05, no. 09, pp. 197-206.
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Obesity is a major global challenge. It increases the risk of developing health problems such as cancer, diabetes and cardiovascular disease. Its prevalence puts pressure on the healthcare systems and on individuals’ health and finances as well. The use of fitness technology, mobile apps and wearable devices in supporting health behaviour change is promising. Fitness technology not only expands opportunities for users to access health related information but also facilitate cueing behaviour change and collection of ongoing personal data. The objective of this paper is to identify the features that should be supported by health and fitness apps and fitness wearable devices to encourage obese individuals to be active, change their lifestyle and to keep them motivated to overcome obesity. Firstly, it investigates the effectiveness and the efficiency of prevalent fitness apps and fitness wearable devices design features used to encourage physical activity. It then provides a method to evaluate both fitness apps and fitness wearable devices as motivational tools. The results regarding mobile apps highlight that goal setting, monitoring/tracking and feedback are the best features for motivation and that Zombie Run is the best fitness app for the Australian market in 2015. The results in regards to wearable devices emphasise reminders, tracking / monitoring/ feedback and goals / rewards are the best features for motivation and that Garmin Vivofitis the best fitness wearable devices for the American market in 2015. These results are useful for the users; fitness apps’ and fitness wearable devices’ developers because they provide some understanding of the various features needed to motivate individuals.

Abolhasan, M, Maali, Y, Rafiei, A & Ni, W 2016, 'Distributed Hybrid Coverage Hole Recovery in Wireless Sensor Networks', IEEE SENSORS JOURNAL, vol. 16, no. 23, pp. 8640-8648.
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© 2001-2012 IEEE. Coverage holes (CHs) can compromise the reliability and functionality of wireless sensor networks. The recovery of CHs is challenging, especially in distributed applications where sensors have little knowledge about other sensors' actions. We propose a new game theoretic approach for recovering the CHs in a distributed manner. The key idea is that we formulate a potential game between the sensors, where each mobile sensor in the network only depends on local knowledge of its neighboring nodes and takes CH recovery actions recursively with global convergence. An appropriate combined action of physical relocation and sensing range adjustment can be taken by each sensor to reduce the CHs in an energy-efficient way. Simulation results show that the proposed game theoretic approach is able to substantially increase network lifetime and maintain network coverage in the presence of random damage events, as compared with the prior counterpart(s).

Afzal, MU & Esselle, KP 2016, 'A Low-Profile Printed Planar Phase Correcting Surface to Improve Directive Radiation Characteristics of Electromagnetic Band Gap Resonator Antennas', IEEE Transactions on Antennas and Propagation, vol. 64, no. 1, pp. 276-280.
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This communication presents a method to enhance the radiation performance of conventional electromagnetic band gap resonator antennas (ERAs) by improving their aperture phase distributions. A lowprofile printed planar phase correcting surface (PCS) was designed and fabricated to demonstrate performance enhancement. Measurements of a prototype demonstrated that the PCS significantly enhances the directive radiation properties of ERAs. This includes an 8 dB increase in peak directivity, 60% reduction in 3 dB beamwidth (from 35° to 14°), and a considerable reduction in side lobe levels.

Ali, A & Lee, JE-Y 2016, 'Electrical characterization of piezoelectric-on-silicon contour mode resonators fully immersed in liquid', Sensors and Actuators A: Physical, vol. 241, pp. 216-223.
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An, L & Lu, DD-C 2016, 'Analysis of DC Bus Capacitor Current Ripple Reduction in Basic DC/DC Cascaded Two-Stage Power Converters', IEEE Transactions on Industrial Electronics, vol. 63, no. 12, pp. 7467-7477.
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Argha, A, Li, L, Su, S & Nguyen, H 2016, 'Stabilising the networked control systems involving actuation and measurement consecutive packet losses', IET Control Theory & Applications, vol. 10, no. 11, pp. 1269-1280.
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© 2016 The Institution of Engineering and Technology. This study is devoted to the problem of designing a robust output-feedback discrete-time sliding mode control (ODSMC) for the networked systems involving both measuring and actuating data packet losses. Packet losses in the networked control systems (NCSs) have been modelled by utilising the probability and the characteristics of the sources and the destinations. Here, the well-known Bernoulli random binary distribution is used to model consecutive packet losses in the NCSs. In this study, first, a robust observer-based discrete-time sliding mode control is proposed for the NCSs including random packet losses. The packet losses occur in the channels from the sensors to the controller and the channels from the controller to the actuators. Then, using the notion of exponential mean square stability, the boundedness of the obtained closed-loop system is analysed with a linear matrix inequality approach. Our proposed robust ODSMC can be applied to unstable NCSs, and there is no need to stabilise the underlying system in advance. Illustrative examples are presented to show the effectiveness of the proposed approach.

Argha, A, Li, L, Su, SW & Nguyen, H 2016, 'On LMI-based sliding mode control for uncertain discrete-time systems', Journal of the Franklin Institute, vol. 353, no. 15, pp. 3857-3875.
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© 2016 The Franklin Institute In this paper, a new approach to design a robust discrete-time sliding mode control (DSMC) is proposed for uncertain discrete-time systems. To this end, an LMI approach is used to develop a new framework to design the sliding function which is linear to the state. Our proposed robust DSMC can be applied to unstable systems, and also there is no need to stabilize the underlying system first. It has been argued in the literature that for the systems involving balanced external disturbances, using switching component is not needed. In this paper, it is shown that with the assumption of smoothness of the external disturbances, a different form of switching element in the controller can outperform the so-called linear controller in terms of the thickness of the boundary layer around the sliding function and the ultimate bound on the system state. Also, this paper extends the idea of disturbance estimation to the uncertain discrete-time systems. The disturbance estimator is exploited in the controller design and the boundedness of the obtained closed-loop system is analyzed. Also, two novel forms of variable structure DSMC are suggested in this paper.

Asheralieva, A & Miyanaga, Y 2016, 'An Autonomous Learning-Based Algorithm for Joint Channel and Power Level Selection by D2D Pairs in Heterogeneous Cellular Networks', IEEE Transactions on Communications, vol. 64, no. 9, pp. 3996-4012.
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Asheralieva, A & Miyanaga, Y 2016, 'Dynamic Buffer Status-Based Control for LTE-A Network With Underlay D2D Communication', IEEE Transactions on Communications, vol. 64, no. 3, pp. 1342-1355.
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Asheralieva, A & Miyanaga, Y 2016, 'Dynamic Resource Allocation with Integrated Reinforcement Learning for a D2D-Enabled LTE-A Network with Access to Unlicensed Band', Mobile Information Systems, vol. 2016, pp. 1-18.
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We propose a dynamic resource allocation algorithm for device-to-device (D2D) communication underlying a Long Term Evolution Advanced (LTE-A) network with reinforcement learning (RL) applied for unlicensed channel allocation. In a considered system, the inband and outband resources are assigned by the LTE evolved NodeB (eNB) to different device pairs to maximize the network utility subject to the target signal-to-interference-and-noise ratio (SINR) constraints. Because of the absence of an established control link between the unlicensed and cellular radio interfaces, the eNB cannot acquire any information about the quality and availability of unlicensed channels. As a result, a considered problem becomes a stochastic optimization problem that can be dealt with by deploying a learning theory (to estimate the random unlicensed channel environment). Consequently, we formulate the outband D2D access as a dynamic single-player game in which the player (eNB) estimates its possible strategy and expected utility for all of its actions based only on its own local observations using a joint utility and strategy estimation based reinforcement learning (JUSTE-RL) with regret algorithm. A proposed approach for resource allocation demonstrates near-optimal performance after a small number of RL iterations and surpasses the other comparable methods in terms of energy efficiency and throughput maximization.

Asheralieva, A & Miyanaga, Y 2016, 'Effective resource block allocation procedure for quality of service provisioning in a single-operator heterogeneous LTE-A network', Computer Networks, vol. 108, pp. 1-14.
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Asheralieva, A & Miyanaga, Y 2016, 'Joint Bandwidth and Power Allocation for LTE-Based Cognitive Radio Network Based on Buffer Occupancy', Mobile Information Systems, vol. 2016, pp. 1-23.
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We investigate the problem of resource allocation in a cognitive long-term evolution (LTE) network, where the available bandwidth resources are shared among the primary (licensed) users (PUs) and secondary (unlicensed) users (SUs). Under such spectrum sharing conditions, the transmission of the SUs should have minimal impact on quality of service (QoS) and operating conditions of the PUs. To achieve this goal, we propose to assign the network resources based on the buffer sizes of the PUs and SUs in the uplink (UL) and downlink (DL) directions. To ensure that the QoS requirements of the PUs are satisfied, we enforce some upper bound on the size of their buffers considering two network usage scenarios. In the first scenario, PUs pay full price for accessing the spectrum and get full QoS protection; the SUs access the network for free and are served on a best-effort basis. In the second scenario, PUs pay less in exchange for sharing the bandwidth and get the reduced QoS guarantees; SUs pay some price for their access without any QoS guarantees. Performance of the algorithms proposed in the paper is evaluated using simulations in OPNET environment. The algorithms show superior performance when compared with other relevant techniques.

Asheralieva, A & Miyanaga, Y 2016, 'QoS-Oriented Mode, Spectrum, and Power Allocation for D2D Communication Underlaying LTE-A Network', IEEE Transactions on Vehicular Technology, vol. 65, no. 12, pp. 9787-9800.
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Bengua, JA, Phien, HN, Tuan, HD & Do, MN 2016, 'Efficient tensor completion for color image and video recovery: Low-rank tensor train', IEEE Transactions on Image Processing, vol. 26, no. 5, pp. 2466-2479.
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This paper proposes a novel approach to tensor completion, which recoversmissing entries of data represented by tensors. The approach is based on thetensor train (TT) rank, which is able to capture hidden information fromtensors thanks to its definition from a well-balanced matricization scheme.Accordingly, new optimization formulations for tensor completion are proposedas well as two new algorithms for their solution. The first one called simplelow-rank tensor completion via tensor train (SiLRTC-TT) is intimately relatedto minimizing a nuclear norm based on TT rank. The second one is from amultilinear matrix factorization model to approximate the TT rank of a tensor,and is called tensor completion by parallel matrix factorization via tensortrain (TMac-TT). A tensor augmentation scheme of transforming a low-ordertensor to higher-orders is also proposed to enhance the effectiveness ofSiLRTC-TT and TMac-TT. Simulation results for color image and video recoveryshow the clear advantage of our method over all other methods.

Bengua, JA, Phien, HN, Tuan, HD & Do, MN 2016, 'Matrix Product State for Higher-Order Tensor Compression and Classification', IEEE Transactions on Signal Processing, vol. 65, no. 15, pp. 4019-4030.
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This paper introduces matrix product state (MPS) decomposition as a new andsystematic method to compress multidimensional data represented by higher-ordertensors. It solves two major bottlenecks in tensor compression: computation andcompression quality. Regardless of tensor order, MPS compresses tensors tomatrices of moderate dimension which can be used for classification. Mainlybased on a successive sequence of singular value decompositions (SVD), MPS isquite simple to implement and arrives at the global optimal matrix, bypassinglocal alternating optimization, which is not only computationally expensive butcannot yield the global solution. Benchmark results show that MPS can achievebetter classification performance with favorable computation cost compared toother tensor compression methods.

Bhattacharya, S, Saha, T & Hossain, MJ 2016, 'Fault contribution from large photovoltaic systems in building power supply networks', Journal of Building Engineering, vol. 5, pp. 222-230.
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Binci, L, Tu, C, Zhu, H & Lee, JE-Y 2016, 'Planar ring-shaped phononic crystal anchoring boundaries for enhancing the quality factor of Lamb mode resonators', Applied Physics Letters, vol. 109, no. 20.
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We report the use of planar ring-shaped phononic crystals (PnCs) as anchor boundaries of very-high-frequency band piezoelectric-on-silicon Lamb mode resonators for the purpose of enhancing their quality factor (Q). Here, we exploit the acoustic bandgap associated with the PnC anchoring boundaries to reduce acoustic energy leakage out of the micromechanical resonator. The proposed approach provides greater mechanical robustness (by merit of interlocking the cells in a matrix) and the possibility of electrical routing through the PnC cells. We experimentally show enhancements in Q by a factor of three using the proposed approach of hybridizing planar ring-shaped PnCs with micromechanical resonators. The effect of these PnCs on resonator Q is further corroborated by their effects in suppressing transmission when incorporated into a delay line.

Chakraborty, S, Milner, LE, Zhu, X, Hall, LT, Sevimli, O & Heimlich, MC 2016, 'A $K$ -Band Frequency Doubler With 35-dB Fundamental Rejection Based on Novel Transformer Balun in 0.13- $\mu \text{m}$ SiGe Technology', IEEE Electron Device Letters, vol. 37, no. 11, pp. 1375-1378.
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© 2016 IEEE. A compact balanced frequency doubler with more than 35 dB odd-harmonic rejection and fractional bandwidth of 73% is presented in this letter. Wide bandwidth and high odd-harmonic suppression is achieved by adopting a new technique for the transformer balun design, resulting in a very low magnitude imbalance of 0.13 dB and a phase imbalance of 0.4° over 7-15 GHz. The balun performance is improved by offsetting the radius of the primary and secondary coils, which reduces the parasitic coupling capacitance. The input and output frequency ranges for the doubler are 7-15 GHz and 14-30 GHz respectively. The circuit was fabricated in 0.13-μm SiGe technology. The chip size is 0.6 mm ×, 0.4 mm.

Chakraborty, S, Yang, Y, Zhu, X, Sevimli, O, Xue, Q, Esselle, K & Heimlich, M 2016, 'A Broadside-Coupled Meander-Line Resonator in 0.13-$\mu \text{m}$ SiGe Technology for Millimeter-Wave Application', IEEE Electron Device Letters, vol. 37, no. 3, pp. 329-332.
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© 2016 IEEE. An on-chip resonator is designed and fabricated using a standard 0.13- μ m SiGe technology for millimeter-wave applications. The designed resonator is based on a unique structure, which consists of two broadside-coupled meander lines with opposite orientation. The equivalent LC circuit of the resonator is given, while the impact of the structure on the resonance frequencies is investigated. Using this structure along with capacitors, a compact bandpass filter (BPF) is also designed and fabricated. The measured results show that the resonator can generate a resonance at 57 GHz with the attenuation better than 13.7 dB, while the BPF has a center frequency at 31 GHz and a insertion loss of 2.4 dB. The chip size of both the resonator and the BPF, excluding the pads, is only 0.024 mm2 ( 0.09× 0.27 mm2.

Chan, KY & Ling, SH 2016, 'A forward selection based fuzzy regression for new product development that correlates engineering characteristics with consumer preferences', JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, vol. 30, no. 3, pp. 1869-1880.
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© 2016 - IOS Press and the authors. All rights reserved. Fuzzy regression models have commonly been used to correlate engineering characteristics with consumer preferences regarding a new product. Based on the models, product developers can determine optimal engineering characteristics of the new product in order to satisfy consumer preferences. However, they have a common limitation in that they cannot guarantee to include significant regressors with significant engineering characteristics or significant nonlinear terms. The generalization capability of the model can be reduced, when too few significant regressors are included and too many insignificant regressors are included. In this paper, a forward selection based fuzzy regression (FS-FR) is proposed based on the statistical forward selection to determine significant regressors. After the significant regressors are determined, the fuzzy regression is used to generate the fuzzy coefficients which address the uncertainties due to fuzziness and randomness caused by consumer preference evaluations. The developed model includes only significant regressors which attempt to improve the generalization capability. A case study of a tea maker design demonstrated that the FS-FR was able to generate consumer preference models with better generalization capabilities than the other tested fuzzy regressions. Also simpler consumer preference models can be provided for the new product development.

Chen, X, Ni, W, Wang, X & Sun, Y 2016, 'Optimal Quality-of-Service Scheduling for Energy-Harvesting Powered Wireless Communications', IEEE Transactions on Wireless Communications, vol. 15, no. 5, pp. 3269-3280.
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Chen, Y, Wang, J, Xu, M, He, X & Lu, H 2016, 'A unified model sharing framework for moving object detection', Signal Processing, vol. 124, pp. 72-80.
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© 2015 Elsevier B.V. All rights reserved. Millions of surveillance cameras have been installed in public areas, producing vast amounts of video data every day. It is an urgent need to develop intelligent techniques to automatically detect and segment moving objects which have wide applications. Various approaches have been developed for moving object detection based on background modeling in the literature. Most of them focus on temporal information but partly or totally ignore spatial information, bringing about sensitivity to noise and background motion. In this paper, we propose a unified model sharing framework for moving object detection. To begin with, to exploit the spatial-temporal correlation across different pixels, we establish a many-to-one correspondence by model sharing between pixels, and a pixel is labeled into foreground or background by searching an optimal matched model in the neighborhood. Then a random sampling strategy is introduced for online update of the shared models. In this way, we can reduce the total number of models dramatically and match a proper model for each pixel accurately. Furthermore, existing approaches can be naturally embedded into the proposed sharing framework. Two popular approaches, statistical model and sample consensus model, are used to verify the effectiveness. Experiments and comparisons on ChangeDetection benchmark 2014 demonstrate the superiority of the model sharing solution.

Choi, S, Tran, TT, Elbadawi, C, Lobo, C, Wang, X, Juodkazis, S, Seniutinas, G, Toth, M & Aharonovich, I 2016, 'Engineering and Localization of Quantum Emitters in Large Hexagonal Boron Nitride Layers', ACS APPLIED MATERIALS & INTERFACES, vol. 8, no. 43, pp. 29642-29648.
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Hexagonal boron nitride is a wide-band-gap van der Waals material that has recently emerged as a promising platform for quantum photonics experiments. In this work, we study the formation and localization of narrowband quantum emitters in large flakes (up to tens of micrometers wide) of hexagonal boron nitride. The emitters can be activated in as-grown hexagonal boron nitride by electron irradiation or high-temperature annealing, and the emitter formation probability can be increased by ion implantation or focused laser irradiation of the as-grown material. Interestingly, we show that the emitters are always localized at the edges of the flakes, unlike most luminescent point defects in three-dimensional materials. Our results constitute an important step on the roadmap of deploying hexagonal boron nitride in nanophotonics applications.

Chowdhury, L, Khan, MI, Deb, K & Kamal, S 2016, 'MetaG: a graph-based metagenomic gene analysis for big DNA data', Network Modeling Analysis in Health Informatics and Bioinformatics, vol. 5, no. 1.
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Chua, T-S, He, X, Liu, W, Piccardi, M, Wen, Y & Tao, D 2016, 'Big data meets multimedia analytics.', Signal Process., vol. 124, pp. 1-4.
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Cooper, O, Wang, B, Brown, CL, Tiralongo, J & Iacopi, F 2016, 'Toward Label-Free Biosensing With Silicon Carbide: A Review', IEEE Access, vol. 4, pp. 477-497.
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© 2013 IEEE. Recent innovation in microelectrical-mechanical systems (MEMSs) and plasmonics-based technologies has opened up perspectives for label-free sensing of biological and chemical analytes. Label-free sensing would enable increased sensitivity and miniaturization capabilities for biosensing devices. Silicon carbide is a semiconductor material that happens to possess ideal properties for augmenting both the MEMS/nanoelectromechanical systems and the plasmonics routes. It has remarkable chemical and biological inertness resulting in a high degree of biocompatibility, as well as pronounced mechanical resilience. In addition, it is an efficient (low loss) plasmonic metamaterial. Its cubic polytype can be grown on silicon wafers, allowing easy micromachining into building blocks for sensing devices, scalable to large volume production. Finally, silicon carbide is an ideal starting material for a controlled, wafer-scale growth of graphene, offering an additional wealth of excellent properties for nanosensing. The combination of all of these capabilities makes silicon carbide an outstanding material platform for the realization of label-free, analyte-specific, and highly sensitive biochemical molecule detection systems. These technologies will open exciting horizons in terms of high throughput, efficient drug screening, and early pathogen detection.

Corsetti, S, McGloin, D & Kiefer, J 2016, 'Comparison of Raman and IR spectroscopy for quantitative analysis of gasoline/ethanol blends', Fuel, vol. 166, pp. 488-494.
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Ethanol is commonly admixed to petrochemical gasoline, and its amount in the fuel blend can influence the performance of an engine. The ethanol content in a commercial fuel can vary. To ensure reliable engine operation, control strategies based on a measurement of the composition need to be developed. Two possible methods to determine the ethanol content in ethanol/gasoline blends are Raman and IR spectroscopy. We compare both techniques for quantitative measurements in systematically varied blends of ethanol and a gasoline surrogate. For each method, two different approaches for data evaluation are tested and compared: Firstly, the calibration of the intensity ratio of characteristic peaks as function of composition; secondly, a principal component regression (PCR). Both methods are found to have comparable uncertainty. For the evaluation of the Raman spectra, the PCR method yielded better accuracy than the intensity ratio approach. In addition, a detailed investigation of the influence of noise in the signal is presented. When the full IR spectra were evaluated by PCR, even high noise levels did not reduce the measurement accuracy significantly.

Du, BX, He, ZY, Du, Q & Guo, YG 2016, 'Effects of water absorption on surface charge and dielectric breakdown of polyimide/Al₂O₃nanocomposite films', IEEE Transactions on Dielectrics and Electrical Insulation, vol. 23, no. 1, pp. 134-141.
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Du, F, Zhang, J, Li, H, Yan, J, Galloway, S & Lo, KL 2016, 'Modelling the impact of social network on energy savings', Applied Energy, vol. 178, pp. 56-65.
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Duan, L, Liu, D, Zhang, Y, Chen, S, Liu, RP, Cheng, B & Chen, J 2016, 'Secure Data-Centric Access Control for Smart Grid Services Based on Publish/Subscribe Systems', ACM Transactions on Internet Technology, vol. 16, no. 4, pp. 1-17.
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The communication systems in existing smart grids mainly take the request/reply interaction model, in which data access is under the direct control of data producers. This tightly controlled interaction model is not scalable to support complex interactions among smart grid services. On the contrary, the publish/subscribe system features a loose coupling communication infrastructure and allows indirect, anonymous and multicast interactions among smart grid services. The publish/subscribe system can thus support scalable and flexible collaboration among smart grid services. However, the access is not under the direct control of data producers, it might not be easy to implement an access control scheme for a publish/subscribe system. In this article, we propose a Data-Centric Access Control Framework (DCACF) to support secure access control in a publish/subscribe model. This framework helps to build scalable smart grid services, while keeping features of service interactions and data confidentiality at the same time. The data published in our DCACF is encrypted with a fully homomorphic encryption scheme, which allows in-grid homomorphic aggregation of the encrypted data. The encrypted data is accompanied by bloom-filter encoded control policies and access credentials to enable indirect access control. We have analyzed the correctness and security of our DCACF and evaluated its performance in a distributed environment.

Duan, L, Zhang, Y, Chen, S, Zhao, S, Wang, S, Liu, D, Liu, RP, Cheng, B & Chen, J 2016, 'Automated Policy Combination for Secure Data Sharing in Cross-Organizational Collaborations', IEEE Access, vol. 4, pp. 3454-3468.
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© 2016 IEEE. During business collaborations, multiple participating organizations often need to share data for common interests. In such cases, it is necessary to combine local policies from different organizations into a global one in order to manage access to the shared data. However, local policies of organizations may be different or even conflicting, due to diverse rules and rule combining algorithms chosen. Few existing methods for policy combination are able to automatically combine multiple local policies into a global one. In this paper, we propose a bottom-up approach to address the issues of multiple policy combinations. The key idea is to first classify the rules based on attribute constraints in each policy, and then reduce the rules of the corresponding classes to one with the same attribute constraints. The reduced rules are then combined into a new global policy by choosing the appropriate rule combining algorithm in XACML. The latter ensures compliance with each of the local policies at syntax and semantic levels. To validate our approach, we develop a proof-of-concept implementation of the automated policy combination. Experimental results demonstrate that our approach is highly scalable and supports a number of attribute constraints in each local policy.

Dusi, M, Finamore, A, Claffy, K, Brownlee, N & Veitch, D 2016, 'Guest Editorial Measuring and Troubleshooting the Internet: Algorithms, Tools and Applications', IEEE Journal on Selected Areas in Communications, vol. 34, no. 6, pp. 1805-1806.
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Ekong, U, Lam, HK, Xiao, B, Ouyang, G, Liu, H, Chan, KY & Ling, SH 2016, 'Classification of epilepsy seizure phase using interval type-2 fuzzy support vector machines', NEUROCOMPUTING, vol. 199, pp. 66-76.
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An interval type-2 fuzzy support vector machine (IT2FSVM) is proposed to solve a classification problem which aims to classify three epileptic seizure phases (seizure-free, pre-seizure and seizure) from the electroencephalogram (EEG) captured from patients with neurological disorder symptoms. The effectiveness of the IT2FSVM classifier is evaluated based on a set of EEG samples which are collected from 10 patients at Peking university hospital. The EEG samples for the three seizure phases were captured by the 112 2-s 19 channel EEG epochs, where each patient was extracted for each sample. Feature extraction was used to reduce the feature vector of the EEG samples to 45 elements and the EEG samples with the reduced features are used for training the IT2FSVM classifier. The classification results obtained by the IT2FSVM are compared with three traditional classifiers namely Support Vector Machine, k-Nearest Neighbor and naive Bayes. The experimental results show that the IT2FSVM classifier is able to achieve superior learning capabilities with respect to the uncontaminated samples when compared with the three classifiers. In order to validate the level of robustness of the IT2FSVM, the original EEG samples are contaminated with Gaussian white noise at levels of 0.05, 0.1, 0.2 and 0.5. The simulation results show that the IT2FSVM classifier outperforms the traditional classifiers under the original dataset and also shows a high level of robustness when compared to the traditional classifiers with white Gaussian noise applied to it.

Elbadawi, C, Tran, TT, Kolíbal, M, Šikola, T, Scott, J, Cai, Q, Li, LH, Taniguchi, T, Watanabe, K, Toth, M, Aharonovich, I & Lobo, C 2016, 'Electron beam directed etching of hexagonal boron nitride', Nanoscale, vol. 8, no. 36, pp. 16182-16186.
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High resolution directed electron beam etching of hBN using water as the precursor gas.

Farrok, O, Islam, MR, Islam Sheikh, MR, Guo, Y, Zhu, J & Xu, W 2016, 'A Novel Superconducting Magnet Excited Linear Generator for Wave Energy Conversion System', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-5.
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Forouzesh, M, Siwakoti, YP, Blaabjerg, F & Hasanpour, S 2016, 'Small-Signal Modeling and Comprehensive Analysis of Magnetically Coupled Impedance-Source Converters', IEEE Transactions on Power Electronics, vol. 31, no. 11, pp. 7621-7641.
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Gao, C, Liu, X, Liu, J, Guo, Y & Chen, Z 2016, 'Multilevel converter with capacitor voltage actively balanced using reduced number of voltage sensors for high power applications', IET Power Electronics, vol. 9, no. 7, pp. 1462-1473.
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© The Institution of Engineering and Technology. Capacitor voltage balance control has attracted increasing attention in the studies of cascaded multilevel converters and modular multilevel converters. This study proposes a novel multilevel converter topology based on diode clamped half-bridge cascaded converter for medium/high voltage and high power applications. In this converter, capacitor voltage balancing using clamping diodes is achieved. Thus very little capacitor voltage control code has to be executed by the digital controller. Furthermore, only two voltage sensors are required for the capacitor voltage control, and the control scheme can be designed as simple as that of a two-level converter. The phase shifted pulse width modulation (PWM) method is employed for the converter, and a control strategy for the converter utilised as a static Var generator is presented. The proposed converter and control strategy were simulated with PSIM. Experiments were also carried out with a laboratory prototype. Results showed that the proposed converter topology with capacitor voltage balancing could work effectively. The applied PWM and control method were also validated.

George, L, Gargiulo, GD, Lehmann, T & Hamilton, TJ 2016, 'A 0.04 mm Buck-Boost DC-DC Converter for Biomedical Implants Using Adaptive Gain and Discrete Frequency Scaling Control', IEEE Transactions on Biomedical Circuits and Systems, vol. 10, no. 3, pp. 668-678.
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© 2015 IEEE. This paper presents the design of a reconfigurable buck-boost switched-capacitor DC-DC converter suitable for use in a wide range of biomedical implants. The proposed converter has an extremely small footprint and uses a novel control method that allows coarse and fine control of the output voltage. The converter uses adaptive gain control, discrete frequency scaling and pulse-skipping schemes to regulate the power delivered to a range of output voltages and loads. Adaptive gain control is used to implement variable switching gain ratios from a reconfigurable power stage and thereby make coarse steps in output voltage. A discrete frequency scaling controller makes discrete changes in switching frequency to vary the power delivered to the load and perform fine tuning when the output voltage is within 10% of the target output voltage. The control architecture is predominately digital and it has been implemented as part of a fully-integrated switched-capacitor converter design using a standard bulk CMOS 0.18 μm process. Measured results show that the converter has an output voltage range of 1.0 to 2.2 V, can deliver up to 7.5 mW of load power and efficiency up to 75% using an active area of only 0.04 mm2, which is significantly smaller than that of other designs. This low-area, low-complexity reconfigurable power converter can support low-power circuits in biomedical implant applications.

Ghasemi, M, Aghaei, J, Akbari, E, Ghavidel, S & Li, L 2016, 'A differential evolution particle swarm optimizer for various types of multi-area economic dispatch problems', Energy, vol. 107, pp. 182-195.
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© 2016 Elsevier Ltd. This paper proposes a new, efficient and powerful heuristic-hybrid algorithm using hybrid DE (differential evolution) and PSO (particle swarm optimization) techniques DEPSO (differential evolution particle swarm optimization) designed to solve eight optimization problems with benchmark functions and the MAED (multi-area economic dispatch), RCMAED (reserve constrained MAED) and RCMAEED (reserve constrained multi area environmental/economic dispatch) problems with reserve sharing in power system operations. The proposed hybridizing sum-local search optimizer, entitled HSLSO, is a relatively simple but powerful technique. The HSLSO algorithm is used in this study for solving different MAED problems with non-smooth cost function. The effectiveness and efficiency of the HSLSO algorithm is first tested on a number of benchmark test functions. Experimental results showe the HSLSO has a better quality solution with the ability to converge for most of the tested functions.

Golsorkhi, MS & Lu, DD-C 2016, 'A Decentralized Control Method for Islanded Microgrids Under Unbalanced Conditions', IEEE Transactions on Power Delivery, vol. 31, no. 3, pp. 1112-1121.
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© 1986-2012 IEEE. Unbalanced load currents not only give rise to unbalanced voltages but also adversely affect the performance of the conventional current-limiting mechanisms. The latter might result in overcurrent stress on the distributed energy resources (DERs) or current harmonics. In this paper, a novel decentralized control method is proposed to improve the power quality and protect DERs from overload. The proposed controller makes use of the model predictive control (MPC) technique to minimize the voltage unbalance, improve current limiting, and prevent active power overload. The MPC is combined with the V-I droop method to realize coordinated operation with fast dynamic response. The proposed method is tested on the CIGRE benchmark microgrid. Simulation results demonstrate that the proposed method improves power quality but also allows for operation close to the maximum load capacity without imposing DERs to overload.

Guan, D, Zhang, Y, Qian, Z, Li, Y, Asaadi, M & Ding, C 2016, 'A Novel 2-D Multibeam Antenna Without Beamforming Network', IEEE Transactions on Antennas and Propagation, vol. 64, no. 7, pp. 3177-3180.
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© 2016 IEEE. A novel design of multibeam array antenna without feeding network is presented in this communication. This array antenna consists of 3 × 3 microstrip patches as radiators. In this design, a feeding network is avoided where each patch is fed by a probe. Furthermore, whatever patch is excited, the input power can be coupled to all patches through four microstrip lines located between the radiating elements. In addition, nine radiation beams can be implemented depending on different field distributions that are generated by exciting each patch individually. The proposed antenna has a simple single-layered structure and does not suffer from a complex feeding network compared with traditional multibeam antennas. The experimental results demonstrate that the scanning ranges of the nine beams are ±24° and ±45° in the vertical and horizontal directions, respectively. Moreover, measured gain for the nine beams of the implemented antenna varies from 9.06 to 10.45 dBi.

Guan, D-F, Ding, C, Qian, Z-P, Zhang, Y-S, Jay Guo, Y & Gong, K 2016, 'Broadband High-Gain SIW Cavity-Backed Circular-Polarized Array Antenna', IEEE Transactions on Antennas and Propagation, vol. 64, no. 4, pp. 1493-1497.
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© 2016 IEEE. A circularly polarized (CP) 4 × 4 array antenna based on substrate integrated waveguide (SIW) technology is presented. Circular polarization is achieved by applying the sequential rotation technique (SRT) with a well-designed sequential feed network and linear-polarized array elements. The proposed 4 × 4 array has a wide axial ratio (AR) bandwidth of 14% from 18.3 to 21.1 GHz with gain > 13 dBic. Then, the array is expanded to achieve higher gains. A 16 × 16-element array is designed, fabricated, and tested. Test results show that the 16 × 16 array has an AR bandwidth of 13.8% from 18.5 to 21.25 GHz and a peak gain of 25.9 dBic at 20.5 GHz.

Guo, B, Huang, Y, Guo, Y & Zhu, J 2016, 'Thermal Analysis of the Conical Rotor Motor Using LPTN With Accurate Heat Transfer Coefficients', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-7.
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Guo, L, Zhu, H & Abbosh, A 2016, 'Wideband Phase Shifter With Wide Phase Range Using Parallel Coupled Lines and L-Shaped Networks', IEEE Microwave and Wireless Components Letters, vol. 26, no. 8, pp. 592-594.
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A planar broadband phase shifter with wide range of differential phase is proposed. To achieve this performance, the design uses quarter wavelength parallel coupled lines combined with two L-shape networks. The L-shaped network includes a short-ended stub and a section of transmission line as an impedance transformer. The value of the differential phase can be adjusted through varying the coupling coefficient of the coupled lines along with the length and impedance of the short-ended stubs and transformer. The theory of operation for the proposed design is explained. To validate the theory, a phase shifter is designed and manufactured to realize 180° differential phase. The simulated and measured results agree well with the theory and show less than b° phase deviation and 1.3 dB insertion loss across the band 1-3 GHz.

Guo, L, Zhu, H & Abbosh, AM 2016, 'Wideband Tunable In-Phase Power Divider Using Three-Line Coupled Structure', IEEE Microwave and Wireless Components Letters, vol. 26, no. 6, pp. 404-406.
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Guo, Q, Zhang, Y, Celler, BG & Su, SW 2016, 'Backstepping Control of Electro-Hydraulic System Based on Extended-State-Observer With Plant Dynamics Largely Unknown', IEEE Transactions on Industrial Electronics, vol. 63, no. 11, pp. 6909-6920.
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Gupta, B, Di Bernardo, I, Mondelli, P, Della Pia, A, Betti, MG, Iacopi, F, Mariani, C & Motta, N 2016, 'Effect of substrate polishing on the growth of graphene on 3C–SiC(111)/Si(111) by high temperature annealing', Nanotechnology, vol. 27, no. 18, pp. 185601-185601.
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Guzman-Quiros, R, Weily, AR, Gomez-Tornero, JL & Guo, YJ 2016, 'A Fabry–Pérot Antenna With Two-Dimensional Electronic Beam Scanning', IEEE Transactions on Antennas and Propagation, vol. 64, no. 4, pp. 1536-1541.
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© 2016 IEEE. A novel fixed-frequency electronically steerable Fabry-Pérot Antenna (FPA) with electronic two-dimensional (2-D) (azimuth and elevation) steering capability is presented. The configuration is based on a centrally fed Fabry-Pérot cavity (FPC) loaded with a tunable high impedance surface (HIS). Varactor diodes are used to electronically tune the HIS reflection coefficient, forming four azimuthal sectors that are independently controlled by four control signals, respectively. It is demonstrated that this simple configuration generates a pencil beam that can be pointed to eight discrete azimuthal directions, whereas continuous elevation scanning is also attained simultaneously for each azimuthal direction by controlling the leaky-wave propagation constant. The theory, simulation analysis, and experimental results obtained from a prototype operating at 5.5 GHz are presented to validate the antenna design.

Habibullah, M, Lu, DD-C, Xiao, D & Rahman, MF 2016, 'A Simplified Finite-State Predictive Direct Torque Control for Induction Motor Drive', IEEE Transactions on Industrial Electronics, vol. 63, no. 6, pp. 3964-3975.
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© 2016 IEEE. Finite-state predictive torque control (FS-PTC) is computationally expensive, since it uses all voltage vectors (VVs) available from a power converter for prediction and actuation. The computational burden is rapidly increased with the number of VVs and objectives to be controlled. Moreover, designing a cost function with more than two control objectives is a complex task. This paper proposes a simplified algorithm based on a new direct torque control (DTC) switching table to reduce the number of VVs to be predicted and objectives to be controlled. The new switching table also assists to reduce average switching frequency and its variation range. As a result, the cost function is simplified by not requiring to include the frequency term. Experimental results show that the average execution time and the average switching frequency for the proposed algorithm are greatly reduced without affecting the torque and flux performances achieved in the conventional FS-PTC.

Hagelstein, B, Abolhasan, M, Franklin, D, Safaei, F & Ni, W 2016, 'Analytic Performance Model for State-Based MAC Layer Cooperative Retransmission Protocols', IEEE TRANSACTIONS ON MOBILE COMPUTING, vol. 15, no. 1, pp. 32-44.
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© 2015 IEEE. Cooperative retransmission can significantly improve link reliability over lossy and time-varying wireless links. However, comparing retransmission protocols is challenging, and generally requires simplistic assumptions specific to each protocol. In this paper, we develop a general model to evaluate cooperative retransmission protocols with distributed, slot-based contention algorithms. Specifically, we propose to calculate the relay time-out probabilities at a MAC time-slot scale, formulate retransmission outcomes as functions of the time-out probabilities, and derive the probability of a retransmission process for every data frame. We also propose a Markov extension of our model to characterise the dependency between retransmissions of multiple frames. This enables our model to analyse continuous retransmissions of successive frames. Validated by QualNet simulations, our model can analytically predict the probabilities of cooperative retransmissions with an accuracy of ± 1%. As a result, direct comparisons between cooperative retransmission protocols become tangible, without implementing the full protocol in a state-based simulator.

Hossain, MJ, Mahmud, MA, Milano, F, Bacha, S & Hably, A 2016, 'Design of Robust Distributed Control for Interconnected Microgrids', IEEE Transactions on Smart Grid, vol. 7, no. 6, pp. 2724-2735.
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Hu, H, Zhao, J, Liu, X & Guo, Y 2016, 'Magnetic Field and Force Calculation in Linear Permanent-Magnet Synchronous Machines Accounting for Longitudinal End Effect', IEEE Transactions on Industrial Electronics, vol. 63, no. 12, pp. 7632-7643.
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© 1982-2012 IEEE. This paper presents an improved analytical method for predicting the magnetic field and forces in linear permanent-magnet synchronous machines (LPMSMs) accounting for both the primary end effect and secondary end effect. So far, the magnetic field calculation of LPMSM in most studies is conducted in Cartesian coordinate, whereas the end effect is neglected by applying periodic boundary. In this paper, to implement the analytical model, a polar presentation of the machine geometry is proposed and the subdomain method is applied to calculate the magnetic field. Then, according to the developed model, the tangential thrust and normal forces are calculated based on the Maxwell stress theory. Numerical results are subsequently obtained by finite-element method and employed to validate the analytical model. Finally, an LPMSM prototype is manufactured and experiments are conducted. The results show that the developed analytical model has high accuracy for predicting the magnetic field and forces.

Hu, Y, Gan, C, Cao, W, Zhang, J, Li, W & Finney, SJ 2016, 'Flexible Fault-Tolerant Topology for Switched Reluctance Motor Drives', IEEE Transactions on Power Electronics, vol. 31, no. 6, pp. 4654-4668.
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Huang, K, Kong, X & Sandrasegaran, K 2016, 'Modelling software corrective maintenance productivity using an analytical economic model and simulation', International Journal of Computer Applications in Technology, vol. 54, no. 2, pp. 77-77.
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In this paper an economic productivity model for software corrective maintenance process is presented. The productivity is analytically modelled using economic value of the maintenance process as the output, and the precommitted fixed cost and variable cost as input. The Analytical Theory of Investment is used to model the relationship of the economic value and these cost components. The values of corrective software maintenance process are analysed. A simulation approach is investigated to analyse the influences to the productivity in software corrective maintenance. This simulation approach provided a tool to identify and analyze the optimal parameters in productivity using the economic model.

Huang, S, Zhang, J, Wang, L & Hua, X-S 2016, 'Social Friend Recommendation Based on Multiple Network Correlation', IEEE TRANSACTIONS ON MULTIMEDIA, vol. 18, no. 2, pp. 287-299.
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© 2015 IEEE. Friend recommendation is an important recommender application in social media. Major social websites such as Twitter and Facebook are all capable of recommending friends to individuals. However, most of these websites use simple friend recommendation algorithms such as similarity, popularity, or 'friend's friends are friends,' which are intuitive but consider few of the characteristics of the social network. In this paper we investigate the structure of social networks and develop an algorithm for network correlation-based social friend recommendation (NC-based SFR). To accomplish this goal, we correlate different 'social role' networks, find their relationships and make friend recommendations. NC-based SFR is characterized by two key components: 1) related networks are aligned by selecting important features from each network, and 2) the network structure should be maximally preserved before and after network alignment. After important feature selection has been made, we recommend friends based on these features. We conduct experiments on the Flickr network, which contains more than ten thousand nodes and over 30 thousand tags covering half a million photos, to show that the proposed algorithm recommends friends more precisely than reference methods.

Huang, X, Guo, YJ & Zhang, JA 2016, 'Transceiver I/Q Imbalance Self-Calibration With Phase-Shifted Local Loopback for Multichannel Microwave Backhaul', IEEE Transactions on Wireless Communications, vol. 15, no. 11, pp. 7657-7669.
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© 2002-2012 IEEE. Frequency-dependent I/Q imbalance estimation and compensation are of significant practical importance to low-cost wideband systems with an I/Q modulation architecture. To enable multichannel transmission without inter-channel interference, transmitter I/Q imbalance must be pre-compensated to meet stringent transmit mask requirement. In this paper, a simple frequency domain joint transmitter and receiver I/Q imbalance estimation method is proposed for self-calibration of such wideband multichannel transceivers. Using two frequency domain training signals and a phase shifter inserted in the transceiver local loopback channel, the transmitter and receiver I/Q imbalances can be estimated separately. The estimation errors are also analyzed and the mean square error lower bounds are derived. Simulation results are in good agreement with analytical ones. Compared with existing methods, the proposed technique demonstrates better image rejection performance and quicker adaptation to parameter changes, making it more applicable to many wireless systems, especially the multichannel microwave backhaul, for achieving high data rates with high-order modulation and wide transmission bandwidth.

Huang, X, Zhang, J, Fan, L, Wu, Q & Yuan, C 2016, 'A Systematic Approach for Cross-source Point Cloud Registration by Preserving Macro and Micro Structures', IEEE Transactions on Image Processing, vol. 26, no. 7, pp. 3261-3276.
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We propose a systematic approach for registering cross-source point clouds.The compelling need for cross-source point cloud registration is motivated bythe rapid development of a variety of 3D sensing techniques, but many existingregistration methods face critical challenges as a result of the largevariations in cross-source point clouds. This paper therefore illustrates anovel registration method which successfully aligns two cross-source pointclouds in the presence of significant missing data, large variations in pointdensity, scale difference and so on. The robustness of the method is attributedto the extraction of macro and micro structures. Our work has three maincontributions: (1) a systematic pipeline to deal with cross-source point cloudregistration; (2) a graph construction method to maintain macro and microstructures; (3) a new graph matching method is proposed which considers theglobal geometric constraint to robustly register these variable graphs.Compared to most of the related methods, the experiments show that the proposedmethod successfully registers in cross-source datasets, while other methodshave difficulty achieving satisfactory results. The proposed method also showsgreat ability in same-source datasets.

Husev, O, Blaabjerg, F, Roncero-Clemente, C, Romero-Cadaval, E, Vinnikov, D, Siwakoti, YP & Strzelecki, R 2016, 'Comparison of Impedance-Source Networks for Two and Multilevel Buck–Boost Inverter Applications', IEEE Transactions on Power Electronics, vol. 31, no. 11, pp. 7564-7579.
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© 2016 IEEE. Impedance-source networks are an increasingly popular solution in power converter applications, especially in single-stage buck-boost power conversion to avoid additional front-end dc-dc power converters. In the survey papers published, no analytical comparisons of different topologies have been described, which makes it difficult to choose the best option. Thus, the aim of this paper is to present a comprehensive analytical comparison of the impedance-source-based buck-boost inverters in terms of passive component count and semiconductor stress. Based on the waveform of the input current, i.e., with or without a transformer, and with or without inductor coupling, the impedance-source converters are classified. The main criterion in our comprehensive comparison is the energy stored in the passive elements, which is considered both under constant and predefined high frequency current ripple in the inductors and the voltage ripple across the capacitors. Two-level and multilevel solutions are described. The conclusions provide a 'one-stop' information source and a selection guide of impedance-source-based buck-boost inverters for different applications.

Irfansyah, AN, Nicholson, AP, Iberzanov, A, Jenkins, J, Lehmann, T & Hamilton, TJ 2016, 'Automatic tuning of digitally-controllable positive-feedback OTAs in continuous-time sigma–delta modulators', Analog Integrated Circuits and Signal Processing, vol. 89, no. 2, pp. 469-483.
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© 2016, Springer Science+Business Media New York. This paper proposes a technique suitable for on-chip tuning of digitally-tunable positive-feedback operational transconductor amplifiers in a continuous-time sigma–delta modulator (CT-SDM) with active-RC integrator stages. The work we present relies on phase shift and offset measurement of individual active-RC integrator stages output using comparators to estimate output conductance, DC-gain, and common mode level of the differential output signals. The tuning methodology aims to tune the integrator stages to achieve sufficient DC-gain as required by the SDM. We present experimental results to confirm the correlation of our integrator phase and output offset detection technique with the operational transconductance amplifier (OTA) DC gain. We employ this technique in a tuning process of two digitally-tunable OTA chips implemented in complementary metal-oxide semiconductor 180 nm process configured in a second-order CT-SDM circuit with discrete components. The tuning algorithm results in a measured signal-to-noise and distortion ratio (SNDR) of 46.97 dB, which is close to the maximum SNDR of 47.83 dB achievable across a subset of the digitally-tunable OTA code space. High-speed operation of the CT-SDM and tuning circuitry has been verified through circuit simulations.

Jayawickrama, BA, Dutkiewicz, E, Mueck, M & He, Y 2016, 'On the Usage of Geolocation-Aware Spectrum Measurements for Incumbent Location and Transmit Power Detection', IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, vol. 65, no. 10, pp. 8177-8189.
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© 2017 IEEE. Determining the geographical area that needs to be excluded due to incumbent activity is critical to realize high spectral utilization in spectrum sharing networks. This can be achieved by estimating the incumbent location and transmit power. However, keeping the hardware complexity of sensing nodes to a minimum and scalability are critical for spectrum sharing applications with commercial intent. We present a discrete-space l1-norm minimization solution based on geolocation-aware energy detection measurements. In practice, the accuracy of geolocation tagging is limited. We capture the impact as a basis mismatch and derive the necessary condition that needs to be satisfied for successful detection of multiple incumbents' location and transmit power. We find the upper bound for the probability of eliminating the impact of limited geolocation tagging accuracy in a lognormal shadow fading environment, which is applicable to all generic I1-norm minimization techniques. We propose an algorithm based on orthogonal matching pursuit that decreases the residual in each iteration by allowing a selected set of basis vectors to rotate in a controlled manner. Numerical evaluation of the proposed algorithm in a Licensed Shared Access (LSA) network shows a significant improvement in the probability of missed detection and false alarm.

Ji, L-Y, Qin, P-Y, Guo, YJ, Ding, C, Fu, G & Gong, S-X 2016, 'A Wideband Polarization Reconfigurable Antenna With Partially Reflective Surface', IEEE Transactions on Antennas and Propagation, vol. 64, no. 10, pp. 4534-4538.
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© 2016 IEEE. A novel partially reflective surface (PRS) antenna is proposed, which can electronically alter its polarization between linear polarization, left-hand circular polarization (CP), and right-hand CP. The antenna consists of a shorted annular patch antenna as the source, a PRS structure to enhance the gain, and a reconfigurable Wilkinson power divider as the feed network. Four p-i-n diodes are inserted into each branch of the power divider to change its electrical length. By switching the p-i-n diodes ON and OFF, a phase difference of 0°, 90°, or -90° can be realized at the two output ports of the feed network, hence enabling the antenna to radiate either a linearly polarized signal or left/right-handed circularly polarized signal. A prototype antenna with the biasing network is designed, fabricated, and measured. Good agreement between the simulated and measured results is achieved. Measurement results show that the proposed antenna has an overlapped 10-dB impedance bandwidth and 3-dB axial-ratio bandwidth of 4.7-5.36 GHz (13.1%). The average realized gains are ∼9 dBi/dBic, which remain reasonably stable for different polarizations. The proposed antenna outperforms most of the reported polarization reconfigurable antennas for its wide bandwidth and relatively high gain.

Jia, Y, Liu, Y, Guo, YJ, Li, K & Gong, S-X 2016, 'Broadband Polarization Rotation Reflective Surfaces and Their Applications to RCS Reduction', IEEE Transactions on Antennas and Propagation, vol. 64, no. 1, pp. 179-188.
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© 2015 IEEE. A novel broadband polarization rotation (PR) reflective surface (PRRS) with a high polarization conversion ratio (PCR) is proposed, which can reflect the linearly polarized incident wave with 90° PR. The proposed PRRS consists of a periodic array of square patches printed on a substrate, which is backed by a metallic ground. By connecting the square patch with the ground using two nonsymmetric vias, a 49% PR bandwidth is achieved with a high PCR of 96%, which is a significant improvement from the state-of-the-art 29% PR bandwidth. Moreover, the frequency responses within the operation frequency band are consistent under oblique incident waves. Furthermore, another ultra-wideband PRRS with a periodic array of quasi-L-shaped patches is proposed, which increases the PR bandwidth further to 103%. In addition, the designed PRRS is applied to wideband radar cross section (RCS) reduction. Different arrangements of the unit cells of the PRRS are proposed and their effects on RCS reduction are investigated. To validate the simulation results, prototypes of the PRRSs are fabricated and measured. The measured results are in good agreement with the simulated ones.

Jin, JX, Tang, YJ, Xiao, XY, Du, BX, Wang, QL, Wang, JH, Wang, SH, Bi, YF & Zhu, JG 2016, 'HTS Power Devices and Systems: Principles, Characteristics, Performance, and Efficiency', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-26.
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Kamal, S & Arefin, MS 2016, 'Impact analysis of facebook in family bonding', Social Network Analysis and Mining, vol. 6, no. 1.
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Kamal, S, Ripon, SH, Dey, N, Ashour, AS & Santhi, V 2016, 'A MapReduce approach to diminish imbalance parameters for big deoxyribonucleic acid dataset', Computer Methods and Programs in Biomedicine, vol. 131, pp. 191-206.
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Kermany, AR, Bennett, JS, Brawley, GA, Bowen, WP & Iacopi, F 2016, 'Factors affecting the f × Q product of 3C-SiC microstrings: What is the upper limit for sensitivity?', Journal of Applied Physics, vol. 119, no. 5, pp. 055304-055304.
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The fn × Q (Hz) is a crucial sensitivity parameter for micro-electro-mechanical sensing. We have recently shown a fn × Q product of ∼1012 Hz for microstrings made of cubic silicon carbide on silicon, establishing a new state-of-the-art and opening new frontiers for mass sensing applications. In this work, we analyse the main parameters influencing the frequency and quality factor of silicon carbide microstrings (material properties, microstring geometry, clamping condition, and environmental pressure) and investigate the potential for approaching the theoretical upper limit. We indicate that our previous result is only about a factor 2 lower than the thermoelastic dissipation limit. For fully reaching this upper limit, a substantial reduction of the defects in the silicon carbide thin film would be required, while maintaining a high residual tensile stress in the perfect-clamped strings.

Keshavarz, R, Mohammadi, A, Abdipour, A & Mirzavand, R 2016, 'A DUAL BAND E-CRLH FREQUENCY MULTIPLIER WITH TWO MULTIPLICATION FACTORS', Progress In Electromagnetics Research Letters, vol. 64, pp. 99-104.
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Khan, MI, Kamal, MS & Chowdhury, L 2016, 'MSuPDA: A Memory Efficient Algorithm for Sequence Alignment', Interdisciplinary Sciences: Computational Life Sciences, vol. 8, no. 1, pp. 84-94.
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Kianinia, M, Tawfik, SA, Regan, B, Tran, TT, Ford, MJ, Aharonovich, I & Toth, M 2016, 'Robust Solid State Quantum System Operating at 800 K', ACS Photonics, vol. 4, no. 4, pp. 768-773.
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Realization of Quantum information and communications technologies requiresrobust, stable solid state single photon sources. However, most existingsources cease to function above cryogenic or room temperature due to thermalionization or strong phonon coupling which impede their emissive and quantumproperties. Here we present an efficient single photon source based on a defectin a van der Waals crystal that is optically stable and operates at elevatedtemperatures of up to 800 K. The quantum nature of the source and the photonpurity are maintained upon heating to 800 K and cooling back to roomtemperature. Our report of a robust high temperature solid state single photonsource constitutes a significant step to-wards practical, integrated quantumtechnologies for real-world environments.

Lei, G, Liu, C, Guo, Y & Zhu, J 2016, 'Robust Multidisciplinary Design Optimization of PM Machines With Soft Magnetic Composite Cores for Batch Production', IEEE Transactions on Magnetics, vol. 52, no. 3, pp. 1-4.
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© 1965-2012 IEEE. This paper presents a robust approach for multidisciplinary design optimization of permanent magnet (PM) motors with soft magnetic composite (SMC) cores to improve their manufacturing quality in batch production. First, a general multidisciplinary design analysis framework is developed for PM-SMC motors, which includes electromagnetic, thermal, modal, and manufacturing analyses. Second, an improved multilevel optimization method is presented to improve the efficiency of the robust optimization. Finally, to demonstrate the effectiveness, a PM-SMC transverse flux machine is investigated. The numerical solutions, including electromagnetic and thermal analyses, are validated by the experimental results. As shown, the proposed method can significantly increase motor's reliability and greatly reduce the computation cost, which benefits the mass production in industrial applications.

Lei, G, Liu, C, Jafari, M, Zhu, J & Guo, Y 2016, 'Multilevel Robust Design Optimization of a Superconducting Magnetic Energy Storage Based on a Benchmark Study', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-5.
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© 2016 IEEE. Superconducting magnetic energy storage (SMES) systems with different superconducting materials are attracting great attentions and funding from the governments around the world because they are promising large-scale energy storage devices for future smart grid. Due to the high cost of SMES, its manufacturing quality and operation reliability have to be investigated in the design optimization stage. This paper presents a robust design optimization method to solve this issue based on a benchmark problem, TEAM problem 22. The proposed method is based on a technique called design for Six Sigma. Meanwhile, a three-level optimization framework is employed to reduce the computation cost of a finite-element analysis due to high-dimensional design space and Monte-Carlo analysis. As shown, the manufacturing reliability and quality of the investigated SMES after robust optimization have been increased greatly.

Li, J, Zhao, B, Deng, C & Xu, RYD 2016, 'Time Varying Metric Learning for visual tracking', Pattern Recognition Letters, vol. 80, pp. 157-164.
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Li, K, Ni, W, Wang, X, Liu, RP, Kanhere, SS & Jha, SK 2016, 'Energy-Efficient Cooperative Relaying for Unmanned Aerial Vehicles.', IEEE Trans. Mob. Comput., vol. 15, no. 6, pp. 1377-1386.
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© 2002-2012 IEEE. Airborne relaying can extend wireless sensor networks (WSNs) to remote human-unfriendly terrains. However, lossy airborne channels and limited battery of unmanned aerial vehicles (UAVs) are critical issues, adversely affecting success rate and network lifetime, especially in real-time applications. We propose an energy-efficient cooperative relaying scheme which extends network lifetime while guaranteeing the success rate. The optimal transmission schedule of the UAVs is formulated to minimize the maximum (min-max) energy consumption under guaranteed bit error rates, and can be judiciously reformulated and solved using standard optimisation techniques. We also propose a computationally efficient suboptimal algorithm to reduce the scheduling complexity, where energy balancing and rate adaptation are decoupled and carried out in a recursive alternating manner. Simulation results confirm that the suboptimal algorithm cuts off the complexity by orders of magnitude with marginal loss of the optimal network yield (throughput) and lifetime. The proposed suboptimal algorithm can also save energy by 50 percent, increase network yield by 15 percent, and extend network lifetime by 33 percent, compared to the prior art.

Li, M, Chen, XM & Ni, W 2016, 'An extended generalized filter algorithm for urban expressway traffic time estimation based on heterogeneous data', Journal of Intelligent Transportation Systems, vol. 20, no. 5, pp. 474-484.
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Li, X, Ni, W, Mao, F, Wang, W & Li, J 2016, 'A Metal‐free Approach to 3‐Aryl‐3‐hydroxy‐2‐oxindoles by Treatment of 3‐Acyloxy‐2‐oxindoles with Diaryliodonium Salts', Chemistry – An Asian Journal, vol. 11, no. 2, pp. 226-230.
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AbstractA mild, metal‐free approach has been realized for the facile construction of highly valuable 3‐(hetero)aryl‐3‐hydroxy‐2‐oxindoles. Direct arylations of 3‐acyloxy‐2‐oxindoles with diaryliodonium salts as arylation reagents are implemented in the presence of K2CO3 at room temperature without using an organometallic promoter to deliver an array of 3‐(hetero)aryl‐3‐hydroxy‐2‐oxindoles in good yields.

Li, Z, Zhao, G, Li, S, Sun, H, Tao, R, Huang, X & Guo, YJ 2016, 'Rotation Feature Extraction for Moving Targets Based on Temporal Differencing and Image Edge Detection', IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 10, pp. 1512-1516.
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© 2016 IEEE. A rotation parameter extraction method based on temporal differencing and image edge detection from range-Doppler images is presented in this letter. The proposed method first detects the motion trail of the moving pixels caused by the rotating parts in temporal differential range-Doppler images using image edge detection. A Doppler-slow-time image is then generated from the edge pixels on the motion trail. Finally, the rotation parameters are extracted from the Doppler-slow-time image. The proposed method is simple, rapid, and practical. Computer simulations and experimental results demonstrate its effectiveness in terms of computation time compared with existing methods.

Lienhard, B, Schröder, T, Mouradian, S, Dolde, F, Tran, TT, Aharonovich, I & Englund, D 2016, 'Bright and photostable single-photon emitter in silicon carbide', Optica, vol. 3, no. 7, pp. 768-768.
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Liu, C, Zhu, J, Wang, Y, Lei, G & Guo, Y 2016, 'Cogging Torque Minimization of SMC PM Transverse Flux Machines Using Shifted and Unequal-Width Stator Teeth', IEEE Transactions on Applied Superconductivity, vol. 26, no. 4, pp. 1-4.
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Liu, C, Zhu, J, Wang, Y, Lei, G & Guo, Y 2016, 'Design Considerations of PM Transverse Flux Machines With Soft Magnetic Composite Cores', IEEE Transactions on Applied Superconductivity, vol. 26, no. 4, pp. 1-5.
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Liu, H, Boon, CC, He, X, Zhu, X, Yi, X, Kong, L & Heimlich, MC 2016, 'A Wideband Analog-Controlled Variable-Gain Amplifier With dB-Linear Characteristic for High-Frequency Applications', IEEE Transactions on Microwave Theory and Techniques, vol. 64, no. 2, pp. 1-8.
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© 2015 IEEE. A higher frequency, over 2 GHz, is suggested for current 4G or 5G wideband applications. By adopting a unique gain control method, an analog-controlled variable-gain amplifier (VGA) with an accurate dB-linear characteristic is presented. The designed VGA not only features large bandwidth, but also has accurate gain adjustment with a relatively wide control voltage range. The VGA has a measured gain range of 24 dB, of which 17.3 dB is dB-linear with less than ±0.3-dB gain error. The -3-dB bandwidth is relatively constant from 2 to 2.2 GHz for the entire dB-linear range. An output 1-dB compression point of 1.8 dBm and a noise figure of 24 dB are measured. Due to the simple structure, the current consumption of the VGA core is only 2.9 mA from a 1.2-V supply, and the size is only 225 μm ×45 μm, excluding pads. Moreover, the robustness of the designed VGA is verified by means of Monte Carlo simulation.

Liu, H, Xu, M, Wang, J, Rao, T & Burnett, I 2016, 'Improving Visual Saliency Computing With Emotion Intensity', IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 6, pp. 1201-1213.
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Liu, L, Bannerman, PL, Ding, X, Elliott, EJ, Ewart, G & Kong, X 2016, 'The motives for and consequences of underpricing for construction contractors-evidence from Australia', Journal of Modern Project Management, vol. 3, no. 3, pp. 36-45.
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Over the period of 2011-2013, there was a spate of bankruptcies of medium-to-large Australian construction contractors (many of whom were well-established), coinciding with a prolonged decline of the property market. Anecdotal evidence suggests that underpricing played a major role in the collapse of these companies and the financial misfortune of many major Australian construction contractors. On the other hand, anecdotal evidence also suggests that underpricing can be an effective tactic to penetrate markets or weaken competitors when used as part of a strategic mix-a double-edged sword. Because of the political sensitivity of the topic of underpricing, there has been a dearth of research in this area. This study investigates the extent and consequences of the practice of underpricing (in the Australian context), where it is defined as the submission of a tender price at a significantly lower level than the best estimate for the costs, profit margins, and risks of the construction project. Drawing from the literature on construction tender- price formulation, we develop a framework that separates the motives for underpricing into need-for-work and marketing-based competitive pricing; and predict the consequences of the practice of underpricing in terms of adverse financial consequence or profitability in circumstances driven by the two different motives. The framework is validated through data analysis based on a survey of the members of the Australian Institute of Quantity Surveyors and randomly selected large contractors. Underpricing was found to be prevalent in construction projects. Contributing to the literature, the results show that when underpricing is primarily driven by a contractor's need for work to maintain cash flow; underpricing contractors are likely to engage in deceptive practices, such as submission of unwarranted variations or reducing the standard of work. Further, the findings indicate that, although such deceptive conduct could lead to s...

Liu, X, Wang, Y, Zhu, J, Guo, Y, Lei, G & Liu, C 2016, 'Calculation of Capacitance in High-Frequency Transformer Windings', IEEE Transactions on Magnetics, vol. 52, no. 7, pp. 1-4.
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Liu, X, Wang, Y, Zhu, J, Guo, Y, Lei, G & Liu, C 2016, 'Calculation of core loss and copper loss in amorphous/nanocrystalline core-based high-frequency transformer', AIP Advances, vol. 6, no. 5, pp. 055927-055927.
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Amorphous and nanocrystalline alloys are now widely used for the cores of high-frequency transformers, and Litz-wire is commonly used as the windings, while it is difficult to calculate the resistance accurately. In order to design a high-frequency transformer, it is important to accurately calculate the core loss and copper loss. To calculate the core loss accurately, the additional core loss by the effect of end stripe should be considered. It is difficult to simulate the whole stripes in the core due to the limit of computation, so a scale down model with 5 stripes of amorphous alloy is simulated by the 2D finite element method (FEM). An analytical model is presented to calculate the copper loss in the Litz-wire, and the results are compared with the calculations by FEM.

Liu, Y, Li, K, Jia, Y, Hao, Y, Gong, S & Guo, YJ 2016, 'Wideband RCS Reduction of a Slot Array Antenna Using Polarization Conversion Metasurfaces', IEEE Transactions on Antennas and Propagation, vol. 64, no. 1, pp. 326-331.
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© 2015 IEEE. A new approach to reducing the monostatic radar cross section (RCS) and preserving the radiation characteristics of a slot array antenna by employing polarization conversion metasurfaces (PCMs) is presented in this communication. The PCM is arranged in a chessboard configuration consisting of fishbone-shaped element. It is placed on the surface of the slot array antenna. The characteristics and mechanism of the RCS reduction are analyzed. Simulated and experimental results show that the monostatic RCS reduction band of the antenna with PCM ranges between 6.0 and 18.0 GHz for normally impinging both x-and y-polarized waves. The radiation characteristics of the antenna are well preserved simultaneously in terms of the impedance bandwidth, radiation patterns, and realized boresight gains.

Lu, DD-C 2016, 'High Voltage Stress in Single-Phase Single-Stage PFC Converters: Analysis and an Alternative Solution', IEEE Transactions on Industrial Electronics, vol. 63, no. 1, pp. 133-143.
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© 2015 IEEE. Single-stage power-factor-corrected (S2PFC) power supplies usually suffer from high voltage stress, due to lack of control on the intermediate bus capacitor voltage. In the past, analysis of such voltage stress was mostly based on steady-state condition without providing sufficient explanation during the transient circuit operation. This paper revisits the problem at circuit level and reports that the root cause is due to the inherent negative current feedback property of the output inductor or the transformer operating in continuous conductionmode (CCM). Based on the finding, this paper further proposes a new approach to reducing the voltage stress by adding an auxiliary circuit branch to existing S2PFC converters. The additional circuit branch limits the effect of negative current feedback by suppressing the change of output current slope due to change of load. This assists the pulsewidth modulation controller to track the change of load better such that the bus capacitor voltage range is reduced through duty cycle control. The auxiliary circuit branch also reduces reverse-recovery-related losses of the converter under CCM operation. A laboratory prototype using the popular boost PFC converter combined flyback dc/dc converter was built and tested to confirmthe analysis and effectiveness of the approach.

Lu, DD-C, Soon, JL & Verstraete, D 2016, 'Derivation of Dual-Switch Step-Down DC/DC Converters With Fault-Tolerant Capability', IEEE Transactions on Power Electronics, vol. 31, no. 9, pp. 6064-6068.
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Luong, NC, Hoang, DT, Wang, P, Niyato, D, Kim, DI & Han, Z 2016, 'Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey', IEEE Communications Surveys & Tutorials, vol. 18, no. 4, pp. 2546-2590.
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This paper provides a state-of-the-art literature review on economic analysis and pricing models for data collection and wireless communication in Internet of Things (IoT). Wireless sensor networks (WSNs) are the main components of IoT which collect data from the environment and transmit the data to the sink nodes. For long service time and low maintenance cost, WSNs require adaptive and robust designs to address many issues, e.g., data collection, topology formation, packet forwarding, resource and power optimization, coverage optimization, efficient task allocation, and security. For these issues, sensors have to make optimal decisions from current capabilities and available strategies to achieve desirable goals. This paper reviews numerous applications of the economic and pricing models, known as intelligent rational decision-making methods, to develop adaptive algorithms and protocols for WSNs. Besides, we survey a variety of pricing strategies in providing incentives for phone users in crowdsensing applications to contribute their sensing data. Furthermore, we consider the use of some pricing models in machine-to-machine (M2M) communication. Finally, we highlight some important open research issues as well as future research directions of applying economic and pricing models to IoT.

Ma, J, Ni, W, Yin, J, Liu, RP, Yuan, Y & Fang, B 2016, 'Modeling Mobile Cellular Networks Based on Social Characteristics', International Journal of Computers Communications & Control, vol. 11, no. 4, pp. 480-480.
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Social characteristics have become an important aspect of cellular systems, particularly in next generation networks where cells are miniaturised and social effects can have considerable impacts on network operations. Traffic load demonstrates strong spatial and temporal fluctuations caused by users social activities. In this article, we introduce a new modelling method which integrates the social aspects of individual cells in modelling cellular networks. In the new method, entropy based social characteristics and time sequences of traffic fluctuations are defined as key measures, and jointly evaluated. Spectral clustering techniques can be extended and applied to categorise cells based on these key parameters. Based on the social characteristics respectively, we implement multi-dimensional clustering technologies, and categorize the base stations. Experimental studies are carried out to validate our proposed model, and the effectiveness of the model is confirmed through the consistency between measurements and model. In practice, our modelling method can be used for network planning and parameter dimensioning to facilitate cellular network design, deployments and operations.

Mahamedi, B, Zhu, JG & Hashemi, SM 2016, 'A Setting-Free Approach to Detecting Loss of Excitation in Synchronous Generators', IEEE Transactions on Power Delivery, vol. 31, no. 5, pp. 2270-2278.
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Metia, S, Oduro, SD, Duc, HN & Ha, Q 2016, 'Inverse Air-Pollutant Emission and Prediction Using Extended Fractional Kalman Filtering', IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, vol. 9, no. 5, pp. 2051-2063.
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© 2016 IEEE. It is essential to maintain air-quality standards and to take necessary measures when air-pollutant concentrations exceed permissible limits. Pollutants such as ground-level ozone (O3), nitrogen oxides (NOX), and volatile organic compounds (VOCs) emitted from various sources can be estimated at a particular location through integration of observation data obtained from measurement sites and effective air-quality models, using emission inventory data as input. However, there are always uncertainties associated with the emission inventory data as well as uncertainties generated by a meteorological model. This paper addresses the problem of improving the inverse air pollution emission and prediction over the urban and suburban areas using the air-pollution model with chemical transport model (TAPM-CTM) coupled with the extended fractional Kalman filter (EFKF) based on a Matérn covariance function. Here, nitrogen oxide (NO), nitrogen dioxide (NO2), and O3 concentrations are predicted by TAPM-CTM in the airshed of Sydney and surrounding areas. For improvement of the emission inventory, and hence the air-quality prediction, the fractional order of the EFKF is tuned using a genetic algorithm (GA). The proposed methodology is verified with measurements at monitoring stations and is then applied to obtain a better spatial distribution of O3 over the region.

Mishra, N, Boeckl, J, Motta, N & Iacopi, F 2016, 'Graphene growth on silicon carbide: A review', physica status solidi (a), vol. 213, no. 9, pp. 2277-2289.
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Graphene has been widely heralded over the last decade as one of the most promising nanomaterials for integrated, miniaturized applications spanning from nanoelectronics, interconnections, thermal management, sensing, to optoelectronics. Graphene grown on silicon carbide is currently the most likely candidate to fulfill this promise. As a matter of fact, the capability to synthesize high‐quality graphene over large areas using processes and substrates compatible as much as possible with the well‐established semiconductor manufacturing technologies is one crucial requirement. We review here, the enormous scientific and technological advances achieved in terms of epitaxial growth of graphene from thermal decomposition of bulk silicon carbide and the fine control of the graphene electronic properties through intercalation. Finally, we discuss perspectives on epitaxial graphene growth from silicon carbide on silicon, a particularly challenging area that could result in maximum benefit for the integration of graphene with silicon technologies.

Mishra, N, Boeckl, J, Motta, N & Iacopi, F 2016, 'Graphene growth on silicon carbide: A review (Phys. Status Solidi A 9∕2016)', physica status solidi (a), vol. 213, no. 9, pp. 2269-2269.
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Movassaghi, S, Majidi, A, Jamalipour, A, Smith, D & Abolhasan, M 2016, 'Enabling interference-aware and energy-efficient coexistence of multiple wireless body area networks with unknown dynamics', IEEE Access, vol. 4, pp. 2935-2951.
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© 2016 IEEE. This paper presents an adaptive interference mitigation scheme for multiple coexisting wireless body area networks (WBANs) based on social interaction. The proposed scheme considers the mobility of nodes within each WBAN as well as the relative movement of WBANs with respect to each other. With respect to these mobile scenarios traffic load, signal strength, and the density of sensors in a WBAN are incorporated to optimize transmission time with synchronous and parallel transmissions to significantly reduce the radio interference and energy consumption of nodes. This approach leads to higher packet delivery ratio (PDR) and longer network lifetime even with nodes dynamically moving into and out of each others interference region. We make channel assignment more energy-efficient and further reduce power consumption using transmit power control with simple channel prediction. Simulation results show that our approach maintains optimum spatial reuse with a range of channel dynamics within, and between, coexisting BANs. This protocol based on social interaction is shown to mitigate interference and minimize power consumption, and increase the spatial reuse and PDR of each WBAN, while increasing network lifetime. In the context of the adaptive interference mitigation scheme proposed, this paper also reviews the state of the art in literature on mobility, MAC layer, and power control solutions for WBANs, as well as providing a summary of interference mitigation schemes previously applied for the coexistence of WBANs.

Nan, Z, Chen, T, Wang, X & Ni, W 2016, 'Energy-Efficient Transmission Schedule for Delay-Limited Bursty Data Arrivals Under Nonideal Circuit Power Consumption', IEEE Transactions on Vehicular Technology, vol. 65, no. 8, pp. 6588-6600.
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Nasir, AA, Tuan, HD, Ngo, DT, Durrani, S & Kim, DI 2016, 'Path-Following Algorithms for Beamforming and Signal Splitting in RF Energy Harvesting Networks', IEEE Communications Letters, vol. 20, no. 8, pp. 1687-1690.
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Nguyen, BT, Nguyen, DH, Nguyen, TT & Hoang, DB 2016, 'Design of a Workflow-Based Grid Framework', International Journal of Computer Theory and Engineering, vol. 8, no. 1, pp. 14-23.
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This paper aims to present the design of the Grid Collaborative Framework which has been proposed in one of our previous work. Grid infrastructure for resources sharing is somewhat stable with the wide acceptance of the Open Grid Services Architecture (OGSA) and Web Services Resource Framework (WSRF), but Grid framework for collaboration is far from desired. Current Grid Collaborative Frameworks (GCFs) are domain specific and lack of plan-supported capability. These limitations make them less useful and narrow in scope of application. Our grid collaborative framework aims to improve these limitations. With the theoretical foundation based on the activity theory, workflow languages, and designed on top of existing OGSA infrastructure, our proposed framework aims at accelerating the development of grid collaborative systems that consider work plans as central role.

Nguyen, LD, Tuan, HD & Duong, TQ 2016, 'Energy-Efficient Signalling in QoS Constrained Heterogeneous Networks', IEEE Access, vol. 4, pp. 7958-7966.
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© 2013 IEEE. This paper considers a heterogeneous network, which consists of one macro base station and numerous small cell base stations (SBSs) cooperatively serving multiple user terminals. The first objective is to design cooperative transmit beamformers at the base stations to maximize the network energy efficiency (EE) in terms of bits per joule subject to the users' quality of service (QoS) constraints, which poses a computationally difficult optimization problem. The commonly used Dinkelbach-type algorithms for optimizing a ratio of concave and convex functions are not applicable. This paper develops a path-following algorithm to address the computational solution to this problem, which invokes only a simple convex quadratic program of moderate dimension at each iteration and quickly converges at least to a locally optimal solution. Furthermore, the problem of joint beamformer design and SBS service assignment in the three-objective (EE, QoS, and service loading) optimization is also addressed. Numerical results demonstrate the performance advantage of the proposed solutions.

Ni, W 2016, 'Minimized Error Propagation Location Method Based on Error Estimation', The Computer Journal, vol. 59, no. 9, pp. 1282-1288.
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Nicholson, AP, Iberzanov, A, Jenkins, J, Hamilton, TJ & Lehmann, T 2016, 'A Statistical Design Approach for a Digitally Programmable Mismatch-Tolerant High-Speed Nauta Structure Differential OTA in 65-nm CMOS', IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no. 9, pp. 2899-2910.
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© 2016 IEEE. The Nauta structure differential operational transconductance amplifier (OTA) is introduced as a solution to an amplifier design in deep submicrometer CMOS. This simple high-speed inverter-based architecture uses a negative conductance dc gain enhancement technique to produce high dc gains and large unity gain frequencies. The design tradeoff is that the achievable dc gain is proportional to transistor device matching. Our analysis shows that fixed width Nauta structure OTAs have low dc gains due to variations, and thus viable Nauta OTAs need to have tuning mechanisms available to correct for mismatch. This paper presents a digitally programmable Nauta structure OTA architecture built using digital-to-transconductance converters (DTCs). These DTCs are designed to allow for flexibility in producing digital tuning solutions to the device mismatch problem using Nauta OTAs. We present a theoretical analysis of the digital Nauta OTA solution space for high dc gains and a statistical framework to estimate the likelihood of achieving certain gain specifications. Experimental results from a 65-nm CMOS prototype shows that the architecture achieves an average dc gain of greater than 60 dB in line with the minimum expected gain of 59 dB, and on-chip unity gain bandwidth is inferred above 5.8 GHz.

Odeh, N, Abolhasan, M, Safaei, F, Franklin, DR & Mao, G 2016, 'Utility-based resource allocation for interference limited OFDMA cooperative relay networks', PHYSICAL COMMUNICATION, vol. 20, pp. 74-84.
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Palmer, S, Litvinova, K, Dunaev, A, Fleming, S, McGloin, D & Nabi, G 2016, 'Changes in autofluorescence based organoid model of muscle invasive urinary bladder cancer', Biomedical Optics Express, vol. 7, no. 4, pp. 1193-1193.
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Muscle invasive urinary bladder cancer is one of the most lethal cancers and its detection at the time of transurethral resection remains limited and diagnostic methods are urgently needed. We have developed a muscle invasive transitional cell carcinoma (TCC) model of the bladder using porcine bladder scaffold and the human bladder cancer cell line 5637. The progression of implanted cancer cells to muscle invasion can be monitored by measuring changes in the spectrum of endogenous fluorophores such as reduced nicotinamide dinucleotide (NADH) and flavins. We believe this could act as a useful tool for the study of fluorescence dynamics of developing muscle invasive bladder cancer in patients. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Peng, F, Lu, J, Wang, Y, Xu, RY-D, Ma, C & Yang, J 2016, 'N -dimensional Markov random field prior for cold-start recommendation', Neurocomputing, vol. 191, pp. 187-199.
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© 2016 Elsevier B.V. A recommender system is a commonly used technique to improve user experience in e-commerce applications. One of the popular recommender methods is Matrix Factorization (MF) that learns the latent profile of both users and items. However, if the historical ratings are not available, the latent profile will draw from a zero-mean Gaussian prior, resulting in uninformative recommendations. To deal with this issue, we propose using an n-dimensional Markov random field as the prior of matrix factorization (called mrf-MF). In the Markov random field, the attribute (such as age, occupation of users and genre, release year of items) is considered as the site and the latent profile, the random variable. Through the prior, new users or items will be recommended according to its neighbors. The proposed model is suitable for three types of cold-start recommendation: (1) recommend new items to existing users; (2) recommend new users for existing items; (3) recommend new items to new users. The proposed model is assessed on two movie datasets, Movielens 100K and Movielens 1M. Experimental results show that it can effectively solve each of the three cold-start problems and outperforms several matrix factorization based methods.

Pradeepkumar, A, Mishra, N, Kermany, AR, Boeckl, JJ, Hellerstedt, J, Fuhrer, MS & Iacopi, F 2016, 'Catastrophic degradation of the interface of epitaxial silicon carbide on silicon at high temperatures', Applied Physics Letters, vol. 109, no. 1, pp. 011604-011604.
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Epitaxial cubic silicon carbide on silicon is of high potential technological relevance for the integration of a wide range of applications and materials with silicon technologies, such as micro electro mechanical systems, wide-bandgap electronics, and graphene. The hetero-epitaxial system engenders mechanical stresses at least up to a GPa, pressures making it extremely challenging to maintain the integrity of the silicon carbide/silicon interface. In this work, we investigate the stability of said interface and we find that high temperature annealing leads to a loss of integrity. High–resolution transmission electron microscopy analysis shows a morphologically degraded SiC/Si interface, while mechanical stress measurements indicate considerable relaxation of the interfacial stress. From an electrical point of view, the diode behaviour of the initial p-Si/n-SiC junction is catastrophically lost due to considerable inter-diffusion of atoms and charges across the interface upon annealing. Temperature dependent transport measurements confirm a severe electrical shorting of the epitaxial silicon carbide to the underlying substrate, indicating vast predominance of the silicon carriers in lateral transport above 25 K. This finding has crucial consequences on the integration of epitaxial silicon carbide on silicon and its potential applications.

Pradeepkumar, A, Mishra, N, Kermany, AR, Boeckl, JJ, Hellerstedt, J, Fuhrer, MS & Iacopi, F 2016, 'Response to “Comment on ‘Catastrophic degradation of the interface of epitaxial silicon carbide on silicon at high temperatures’” [Appl. Phys. Lett. 109, 196101 (2016)]', Applied Physics Letters, vol. 109, no. 19, pp. 196102-196102.
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Prukkanon, N, Chamnongthai, K & Miyanaga, Y 2016, 'F0 contour approximation model for a one-stream tonal word recognition system', AEU - International Journal of Electronics and Communications, vol. 70, no. 5, pp. 681-688.
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Qin, P, Zhu, H, Lee, JE-Y & Xue, Q 2016, 'Phase Noise Reduction in a VHF MEMS-CMOS Oscillator Using Phononic Crystals', IEEE Journal of the Electron Devices Society, vol. 4, no. 3, pp. 149-154.
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Qin, P-Y, Guo, YJ & Weily, AR 2016, 'Broadband Reflectarray Antenna Using Subwavelength Elements Based on Double Square Meander-Line Rings', IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, vol. 64, no. 1, pp. 378-383.
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© 2015 IEEE. A linearly polarized broadband reflectarray is presented employing a novel single layer subwavelength phase shifting element. The size of the element is a fifth of a wavelength at the center frequency of 10 GHz and the element consists of double concentric square rings of meander lines. By changing the length of the meander line, a 420° phase variation range is achieved at the center frequency. This characteristic makes the proposed configuration unique, as most of the reported subwavelength reflectarray elements can only realize a phase range far less than 360°. In addition, the slope of the phase response remains almost constant from 9 to 11 GHz, demonstrating a broadband property. A 48 × 48-element reflectarray antenna is simulated, fabricated, and measured. Good agreement is obtained between simulated and measured results. A measured 1.5-dB gain bandwidth of 18% and 56.5% aperture efficiency is achieved.

Radmanesh, N, Burnett, IS & Rao, BD 2016, 'A Lasso-LS Optimization with a Frequency Variable Dictionary in a Multizone Sound System', IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 24, no. 3, pp. 583-593.
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©2016 IEEE. This paper presents an approach for multizone wideband sound field generation using an efficient harmonic nested (EHN) dictionary for sparse loudspeakers' placement and weight. Effectively, the nested arrays provide a priori knowledge of prospective loudspeaker locations based on the frequency bands of interest. The nested arrays are then further optimized in the Lasso stage to form an efficient loudspeakers' location dictionary. The final loudspeaker locations and weightings are estimated by a two-stage Lasso-LS pressure matching optimization. In the first stage Lasso algorithm, the center band frequencies of octave bands from 1 kHz to 8 kHz were used to select active loudspeakers. A second stage then optimizes reproduction using all selected loudspeakers on the basis of a regularized LS algorithm. The results demonstrate that the proposed approach provides a solution for the multizone sound system with the mean squared error (MSE) under -30 dB across the targeted frequency range (500 Hz- 16 kHz) using a linear array e.g. 13 loudspeakers. While, the single-stage LS approach generates the MSE peaks of -10 dB and -9 dB at 9 kHz within the active and silent zones respectively using an identical number of loudspeakers and array length.

Rafi, FHM, Hossain, MJ & Lu, J 2016, 'Hierarchical controls selection based on PV penetrations for voltage rise mitigation in a LV distribution network', International Journal of Electrical Power & Energy Systems, vol. 81, pp. 123-139.
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Rahman, A, Chattopadhyay, G & Hossain, MJ 2016, 'Maintenance Decisions for IngroundDecay of Power-Supply Timber Poles', IEEE Transactions on Power Delivery, vol. 31, no. 3, pp. 1106-1111.
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Rahman, MS, Hossain, MJ & Lu, J 2016, 'Coordinated control of three-phase AC and DC type EV–ESSs for efficient hybrid microgrid operations', Energy Conversion and Management, vol. 122, pp. 488-503.
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Rahman, MS, Mahmud, MA, Oo, AMT, Pota, HR & Hossain, MJ 2016, 'Agent-based reactive power management of power distribution networks with distributed energy generation', Energy Conversion and Management, vol. 120, pp. 120-134.
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Rahman, MS, Pota, HR, Mahmud, MA & Hossain, MJ 2016, 'A decentralised multi-agent approach to enhance the stability of smart microgrids with renewable energy', International Journal of Sustainable Energy, vol. 35, no. 5, pp. 429-442.
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© 2014 Taylor & Francis. This paper presents the impact of large penetration of wind power on the transient stability through a dynamic evaluation of the critical clearing times (CCTs) by using intelligent agent-based approach. A decentralised multi-agent-based framework is developed, where agents represent a number of physical device models to form a complex infrastructure for computation and communication. They enable the dynamic flow of information and energy for the interaction between the physical processes and their activities. These agents dynamically adapt online measurements and use the CCT information for relay coordination to improve the transient stability of power systems. Simulations are carried out on a smart microgrid system for faults at increasing wind power penetration levels and the improvement in transient stability using the proposed agent-based framework is demonstrated.

Rana, MM, Li, L & Su, SW 2016, 'An Adaptive-Then-Combine Dynamic State Estimation Considering Renewable Generations in Smart Grids', IEEE Journal on Selected Areas in Communications, vol. 34, no. 12, pp. 3954-3961.
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© 1983-2012 IEEE. The penetration of renewable distributed energy resources, such as wind turbine, has been dramatically increased in distribution networks. Due to the intermittent property, the wind power generation patterns vary, which may risk distribution network operations. So, it is intrinsically necessary to monitor wind turbines in a distributed way. This paper presents an adaptive-Then-combine distributed dynamic approach for monitoring the grid under lossy communication links between the wind turbines and energy management system. First, the wind turbine is represented by a state-space linear model, with sensors deployed to obtain the system state information. Based on the mean squared error principle, an adaptive approach is proposed to estimate the local state information. The global estimation is designed by combining estimation results with weighting factors which are calculated by minimizing the estimation error covariance based on semidefinite programming. Finally, the convergence analysis indicates that the estimation error is gradually decreased, so the estimated state converges to the actual state. The efficacy of the developed approach is verified using the wind turbine and the IEEE 6-bus distribution system.

Rana, MM, Li, L & Su, SW 2016, 'Microgrid state estimation and control using Kalman filter and semidefinite programming technique', International Energy Journal, vol. 16, no. 2, pp. 47-56.
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The design of environment-friendly microgrids at the smart distribution level requires a stable behaviour for multiple state operations. This paper develops a Kalman filter based optimal feedback control method for the microgrid state estimation and stabilization. First, the microgrid is modelled by a discrete-time state space equation. Then the cost-effective smart sensors are deployed in order to obtain the required system information. From the communication point of view, the recursive systematic convolution code is adopted to add the redundancy in the system. At the end, the soft output Viterbi decoder is used to recover the system information from the noisy measurements and transmission uncertainties. Thereafter, the Kalman filter is utilized to estimate the system states, which acts as a precursor for applying the control algorithm. Finally, this paper proposes an optimal feedback control method to stabilize the microgrid based on semidefinite programming. The performance of the proposed approach is demonstrated by extensive numerical simulations.

Rao, T, Xu, M & Xu, D 2016, 'Learning Multi-level Deep Representations for Image Emotion Classification', Neural Processing Letters, vol. 51, pp. 2043-2061.
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In this paper, we propose a new deep network that learns multi-level deeprepresentations for image emotion classification (MldrNet). Image emotion canbe recognized through image semantics, image aesthetics and low-level visualfeatures from both global and local views. Existing image emotionclassification works using hand-crafted features or deep features mainly focuson either low-level visual features or semantic-level image representationswithout taking all factors into consideration. The proposed MldrNet combinesdeep representations of different levels, i.e. image semantics, imageaesthetics, and low-level visual features to effectively classify the emotiontypes of different kinds of images, such as abstract paintings and web images.Extensive experiments on both Internet images and abstract paintingsdemonstrate the proposed method outperforms the state-of-the-art methods usingdeep features or hand-crafted features. The proposed approach also outperformsthe state-of-the-art methods with at least 6% performance improvement in termsof overall classification accuracy.

Ripon, SH, Kamal, S, Hossain, S & Dey, N 2016, 'Theoretical Analysis of Different Classifiers under Reduction Rough Data Set', International Journal of Rough Sets and Data Analysis, vol. 3, no. 3, pp. 1-20.
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Rough set plays vital role to overcome the complexities, vagueness, uncertainty, imprecision, and incomplete data during features analysis. Classification is tested on certain dataset that maintain an exact class and review process where key attributes decide the class positions. To assess efficient and automated learning, algorithms are used over training datasets. Generally, classification is supervised learning whereas clustering is unsupervised. Classifications under mathematical models deal with mining rules and machine learning. The Objective of this work is to establish a strong theoretical and manual analysis among three popular classifier namely K-nearest neighbor (K-NN), Naive Bayes and Apriori algorithm. Hybridization with rough sets among these three classifiers enables enable to address larger datasets. Performances of three classifiers have tested in absence and presence of rough sets. This work is in the phase of implementation for DNA (Deoxyribonucleic Acid) datasets and it will design automated system to assess classifier under machine learning environment.

Ruan, J, Walker, PD, Watterson, PA & Zhang, N 2016, 'The dynamic performance and economic benefit of a blended braking system in a multi-speed battery electric vehicle', Applied Energy, vol. 183, pp. 1240-1258.
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© 2016 Elsevier Ltd As motor-supplied braking torque is applied to the wheels in an entirely different way to hydraulic friction braking systems and it is usually only connected to one axle complicated effects such as wheel slip and locking, vehicle body bounce and braking distance variation will inevitability impact on the performance and safety of braking. The potential for braking energy recovery in typical driving cycles is presented to show its benefit in this study. A general predictive model is designed to analysis the economic and dynamic performance of blended braking systems, satisfying the relevant regulations/laws and critical limitations. Braking strategies for different purposes are proposed to achieve a balance between braking performance, driving comfort and energy recovery rate. Special measures are taken to avoid any effects of motor failure. All strategies are analyzed in detail for various braking events. Advanced driver assistance systems (ADAS), such as ABS and EBD, are properly integrated to work with the regenerative braking system (RBS) harmoniously. Different switching plans during braking are discussed. The braking energy recovery rates and brake force distribution details for different driving cycles are simulated. Results for two of the cycles in an ‘Eco’ mode are measured on a drive train test rig and found to agree with the simulated results to within approximately 10%. Reliable conclusions can thus be gained on the economic benefit and dynamic braking performance. The strategies proposed in this paper are shown to not only achieve comfortable and safe braking during all driving conditions, but also to significantly reduce cost in both the short and long term.

Rufangura, P & Sabah, C 2016, 'Design and characterization of a dual-band perfect metamaterial absorber for solar cell applications', Journal of Alloys and Compounds, vol. 671, pp. 43-50.
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This paper proposes a metamaterial absorber design for solar energy harvesting using a simplified and symmetric structure. A unit cell of this design consists of three important layers namely, the bottom metallic layer, which is gold lossy, the intermediate layer: made of a lossy dielectric material that is gallium arsenide and patches which formed by a combination of gold and gallium arsenide. These three important layers are being carefully arranged at the top of a dielectric spacer. The geometric structure was being examined for its contribution towards absorption characteristics. The simulation results show outstanding dual-bands absorption (99.96% and 99.37%) in the visible frequency regime of electromagnetic wave. Due to the excellent symmetric nature of the proposed structure, its absorptance capacity exhibits polarization insensitivity for a wide range of incident angles for electromagnetic radiation.

Rufangura, P & Sabah, C 2016, 'Polarisation insensitive tunable metamaterial perfect absorber for solar cells applications', IET Optoelectronics, vol. 10, no. 6, pp. 211-216.
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Rufangura, P & Sabah, C 2016, 'Theoretical and thermal characterization of a wideband perfect absorber for application in solar cells', Applied Physics A, vol. 122, no. 12.
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Rufangura, P & Sabah, C 2016, 'Wide-band polarization independent perfect metamaterial absorber based on concentric rings topology for solar cells application', Journal of Alloys and Compounds, vol. 680, pp. 473-479.
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Saadat, A, Ni, W, Vesilo, R & Cui, Q 2016, 'Errata to the paper “An Evolutionary Game Theoretic Framework for Femtocell Radio Resource Management”', IEEE Transactions on Wireless Communications, vol. 15, no. 12, pp. 8610-8612.
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Schell, AW, Tran, TT, Takashima, H, Takeuchi, S & Aharonovich, I 2016, 'Non-linear excitation of quantum emitters in hexagonal boron nitride multiplayers', APL Photonics, vol. 1, no. 9, pp. 091302-091302.
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Two-photon absorption is an important non-linear process employed for high resolution bio-imaging and non-linear optics. In this work, we realize two-photon excitation of a quantum emitter embedded in a two-dimensional (2D) material. We examine defects in hexagonal boron nitride (hBN) and show that the emitters exhibit similar spectral and quantum properties under one-photon and two-photon excitation. Furthermore, our findings are important to deploy two-dimensional hexagonal boron nitride for quantum non-linear photonic applications.

Scott, JA, Totonjian, D, Martin, AA, Tran, TT, Fang, J, Toth, M, McDonagh, AM, Aharonovich, I & Lobo, CJ 2016, 'Versatile method for template-free synthesis of single crystalline metal and metal alloy nanowires', Nanoscale, vol. 8, no. 5, pp. 2804-2810.
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A versatile, template-free growth technique for single crystalline metal nanowires using gas or solution phase precursors.

Shen, L, Lu, DD & Wang, Y 2016, 'Geometric maximum power point tracking and sliding mode control of a bidirectional grid connected single phase two‐stage photovoltaic system with DC loads', IET Renewable Power Generation, vol. 10, no. 9, pp. 1310-1317.
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Shi, S, Ni, W, Liu, RP & Li, S 2016, 'Performance analysis of two‐way MAC layer network coding under finite relay buffer and non‐negligible signalling overhead', Wireless Communications and Mobile Computing, vol. 16, no. 18, pp. 3230-3243.
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AbstractTwo‐way exclusive OR (XOR) relay can enable hidden nodes to exchange data with low delays and high data rate, while keeping signal processing simple. In this paper, we analyse practical two‐way XOR relaying systems, where finite relay buffer, non‐negligible signalling overhead, and lossy wireless channels are all captured. A two‐layer model is developed to characterise such practical two‐way relay systems, which is then reformulated into a Markov process after we project and combine inter‐layer state transitions of the two‐layer model. Using Markov techniques, we evaluate the steady state probabilities of the Markov process and, in turn, the key performance measures of two‐way XOR relaying, such as throughput, delay, and packet loss. The accuracy of our model is validated by simulations. Our model can also be used as an online tool to configure the buffer resources, adapting to wireless channel conditions and signalling requirements. Copyright © 2016 John Wiley & Sons, Ltd.

Shrestha, S, Fang, G, Dutkiewicz, E & Huang, X 2016, 'Solving hidden terminal problem in MU-MIMO WLANs with fairness and throughput-aware precoding and a degrees-of-freedom-based MAC design', EURASIP Journal on Wireless Communications and Networking, vol. 2016, no. 1.
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© 2016, Shrestha et al. We generally emphasize that the zeroforcing (ZF) technique backed by an appropriate medium access control (MAC) protocol can be used to address the inevitable hidden terminal (HT) problem in multi-user multiple input multiple output (MU-MIMO) wireless local area network (WLAN) settings. However, to address the implementation-specific requirements of MU-MIMO WLANs, such as fairness in client access and throughput of the network, we propose a fairness and a throughput-aware ZF precoding in our design at the physical layer (PHY). This precoding scheme not only solves the HT problem but also meets the fairness and the throughput requirements of MU-MIMO WLANs. Besides, we design a MAC layer protocol, supportive to PHY, which decides transmission opportunities (TXOPs) among access points (APs) based on the available degrees of freedom (DoF). We make a mandatory provision in our design that APs should have a sufficient DoF. This can ensure collision-free transmission whenever APs/transmitters transmit in the HT scenario. Additionally, we design an improved channel sounding process for MU-MIMO WLANs with a less signaling overhead than IEEE802.11ac. We demonstrate the feasibility of our PHY in a USRP2/GNU Radio testbed prototype in the lab settings. It is found that our PHY improves the SNR and effective SNR of the received signal from about 5 to 11 dB in the HT scenario. The performance of our MAC design is checked with simulation studies in a typical six-antenna AP and clients scenario. We observe that our MAC protocol has a slightly higher signaling overhead than traditional ready to send/clear to send (RTS/CTS) due to design constraints; however, the signaling time overheads are reduced by 98.67 μs compared to IEEE802.11ac. Another interesting aspect to highlight is the constant Throughput gain of four to five times that of the traditional RTS/CTS. Our MAC protocol obtains this gain as early as 98.67 μs compared to IEEE802.11ac.

Siwakoti, YP, Blaabjerg, F & Loh, PC 2016, 'High Step-Up Trans-Inverse (Tx-1) DC-DC Converter for the Distributed Generation System.', IEEE Trans. Ind. Electron., vol. 63, no. 7, pp. 4278-4291.
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Siwakoti, YP, Blaabjerg, F & Loh, PC 2016, 'New Magnetically Coupled Impedance (Z-) Source Networks', IEEE Transactions on Power Electronics, vol. 31, no. 11, pp. 7419-7435.
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Siwakoti, YP, Blaabjerg, F, Galigekere, VP, Ayachit, A & Kazimierczuk, MK 2016, 'A-Source Impedance Network', IEEE Transactions on Power Electronics, vol. 31, no. 12, pp. 1-1.
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© 2016 IEEE. A novel A-source impedance network is proposed in this letter. The A-source impedance network uses an autotransformer for realizing converters for any application that demand a very high dc voltage gain. The network utilizes a minimal turns ratio compared to other magnetically coupled impedance source networks to attain a high voltage gain. In addition, the proposed converter draws a continuous current from the source, and hence it is suitable for many types of renewable energy sources. The derived network expressions and theoretical analysis are finally validated experimentally with an example single-switch 400-W dc-dc converter. For the closed-loop control design and stability assessment, a small signal model and its analysis of the proposed network are also presented in brief.

Soltani, M, Mostaan, A, Siwakoti, YP, Davari, P & Blaabjerg, F 2016, 'Family of step‐up DC/DC converters with fast dynamic response for low power applications', IET Power Electronics, vol. 9, no. 14, pp. 2665-2673.
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Soon, JL & Lu, DD-C 2016, 'Design of Fuse–MOSFET Pair for Fault-Tolerant DC/DC Converters', IEEE Transactions on Power Electronics, vol. 31, no. 9, pp. 6069-6074.
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Sun, J, Boon, CC, Zhu, X, Yi, X, Devrishi, K & Meng, F 2016, 'A Low-Power Low-Phase-Noise VCO With Self-Adjusted Active Resistor', IEEE Microwave and Wireless Components Letters, vol. 26, no. 3, pp. 201-203.
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This letter presents a low-power low-phase-noise VCO with self-adjusted active resistor (SAAR). A pair of PMOS transistors is introduced between cross-coupled pairs and LC-tank, serving as the SAAR. When cross-coupled transistor resides in the saturation region, SAAR exhibits small resistance, enabling fast switching and suppressing flicker noise up-conversion to 1/f3 phase noise. Moreover, as cross-coupled transistor enters triode region, SAAR will adjust to larger resistance and prevent the small conducting resistance of the cross-coupled transistor degrading the quality factor of LC tank. Fabricated in a 65 nm CMOS technology, the proposed VCO demonstrates a tuning range of 5.07-6.35 GHz (22.4%) with only 0.42 mW power consumption at 0.6 V supply. The phase noise in the worst case is -40.8 dBc/Hz at 1 kHz and -111 dBc/Hz at 1 MHz, respectively

Sun, X, Xue, Z, Zhu, J, Guo, Y, Yang, Z, Chen, L & Chen, J 2016, 'Suspension Force Modeling for a Bearingless Permanent Magnet Synchronous Motor Using Maxwell Stress Tensor Method', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-5.
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© 2016 IEEE. Bearingless permanent magnet synchronous motors (BPMSMs) have been received more and more attention during the past few decades. To realize the high-performance control for rotation and levitation, we will first need to obtain the accurate suspension force model of a BPMSM. In this work, different from conventional suspension force models, a modeling scheme for the suspension force of a BPMSM is presented by taking into account rotor eccentricity with the Maxwell stress tensor modeling scheme. The theoretical value of a suspension force model is compared by the two-dimensional finite element (FE) analysis, and calculation results reveal that the theoretical value closely agree with the FE computed one. Furthermore, the digital control system is devised by taking advantage of TMS320F2812, and a test platform for experiments is then set up. In accordance with the corresponding findings of the experiments, the rotor stabilization with magnetic levitation can be achieved. The results lay a theoretical and experimental foundation for further study of the BPMSM.

Tam, HHM, Tuan, HD & Ngo, DT 2016, 'Successive Convex Quadratic Programming for Quality-of-Service Management in Full-Duplex MU-MIMO Multicell Networks', IEEE Transactions on Communications, vol. 64, no. 6, pp. 2340-2353.
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© 2016 IEEE. This paper designs jointly optimal linear precoders for both base stations (BSs) and users in a multiuser multi-input multi-output (MU-MIMO) multicell network. The BSs are full-duplexing transceivers while uplink users and downlink users (DLUs) are equipped with multiple antennas. Here, the network quality-of-service (QoS) requirement is expressed in terms of the minimum throughput at the BSs and DLUs. We consider the problems of either QoS-constrained sum throughput maximization or minimum cell throughput maximization. Due to the nonconcavity of the throughput functions, the optimal solutions of these two problems remain unknown in both half-duplexing and full-duplexing networks. The first problem has a nonconcave objective and a nonconvex feasible set, whereas the second problem has a nonconcave and nonsmooth objective. To solve such challenging optimization problems, we develop iterative low-complexity algorithms that only invoke one simple convex quadratic program at each iteration. Since the objective value is proved to iteratively increase, our path-following algorithms converge at least to the local optimum of the original nonconvex problems. Due to their guaranteed convergence, simple implementation, and low complexity, the devised algorithms lend themselves to practical precoder designs for large-scale full-duplex MU-MIMO multicell networks. Numerical results demonstrate the advantages of our successive convex quadratic programming framework over existing solutions.

Teng, QF, Li, GF, Zhu, JG & Guo, YG 2016, 'Finite-control-set model predictive control for PMSM systems driven by three-phase four-switch fault-tolerant inverter', Dianji yu Kongzhi Xuebao/Electric Machines and Control, vol. 20, no. 10, pp. 15-22.
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Based on three-phase four-switch inverter, a finite-control-set model predictive control (FCS-MPC) strategy is proposed for permanent magnet synchronous motor (PMSM) drive system with MRAS observer. Because of the reason that permanent magnet flux linkage is varied with temperature change, a MRAS observer was designed to identify permanent magnet flux online. In order to improve the inverter reliability, its switch frequency optimization was taken into account in designing cost function of FCS-MPC. Compared with conventional FCS-MPC, the proposed one in this paper obviously reduces the computation amount of control system. Meanwhile the current feedback characteristic provided by this method can automatically suppress the adverse effect resulting from two capacitor voltages' unbalance of DC bus terminal in three-phase four-switch inverter. Numerical simulation results illustrate that the proposed FCS-MPC can enable whole system to not only run continuously and stably but also achieve satisfactory torque and speed control as well as reduce the average inverter switching frequency.

Teng, QF, Li, GF, Zhu, JG & Guo, YG 2016, 'Sensorless active disturbance rejection model predictive torque control using extended state observer for permanent magnet synchronous motors fed by three-phase four-switch inverter', Kongzhi Lilun Yu Yingyong/Control Theory and Applications, vol. 33, no. 5, pp. 676-684.
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A novel sensorless active disturbance rejection model predictive torque control (ADRMPTC) strategy is developed for permanent magnet synchronous motors (PMSMs) fed by three-phase four-switch inverters, an after-faulttopology for a fault-tolerant three-phase six-switch inverter. Firstly the mathematical model of a PMSM fed by a three-phase four-switch inverter is built. Secondly by the use of technique of extended state observer (ESO), a sensorless estimator is constructed to realize rapid and accurate speed identification. Thirdly an active disturbance rejection controller (ADRC), acting as speed regulator, is designed to realize disturbance estimation and disturbance compensation for the purpose of enhancing robustness. Finally a model predictive torque controller (MPTC) is designed in order to reduce the torque and flux ripples. The resultant ESO-based sensorless ADRMPTC strategy for PMSMs fed by an unhealthy inverter has fault-tolerant ability with dynamical performance very close to the PMSMs fed by a healthy inverter. On the other hand, compared with PI-based MPTC strategy, the ADRMPTC strategy enables the PMSMs to possess better command-following characteristics and stronger robustness in the presence of variations of reference speed and load torque. The simulation results validate the feasibility and effectiveness of the proposed scheme.

Thakur, CS, Afshar, S, Wang, RM, Hamilton, TJ, Tapson, J & van Schaik, A 2016, 'Bayesian Estimation and Inference Using Stochastic Electronics', Frontiers in Neuroscience, vol. 10, no. MAR.
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© 2016 Thakur, Afshar, Wang, Hamilton, Tapson and van Schaik. In this paper, we present the implementation of two types of Bayesian inference problems to demonstrate the potential of building probabilistic algorithms in hardware using single set of building blocks with the ability to perform these computations in real time. The first implementation, referred to as the BEAST (Bayesian Estimation and Stochastic Tracker), demonstrates a simple problem where an observer uses an underlying Hidden Markov Model (HMM) to track a target in one dimension. In this implementation, sensors make noisy observations of the target position at discrete time steps. The tracker learns the transition model for target movement, and the observation model for the noisy sensors, and uses these to estimate the target position by solving the Bayesian recursive equation online. We show the tracking performance of the system and demonstrate how it can learn the observation model, the transition model, and the external distractor (noise) probability interfering with the observations. In the second implementation, referred to as the Bayesian INference in DAG (BIND), we show how inference can be performed in a Directed Acyclic Graph (DAG) using stochastic circuits. We show how these building blocks can be easily implemented using simple digital logic gates. An advantage of the stochastic electronic implementation is that it is robust to certain types of noise, which may become an issue in integrated circuit (IC) technology with feature sizes in the order of tens of nanometers due to their low noise margin, the effect of high-energy cosmic rays and the low supply voltage. In our framework, the flipping of random individual bits would not affect the system performance because information is encoded in a bit stream.

Thakur, CS, Wang, R, Hamilton, TJ, Tapson, J & van Schaik, A 2016, 'A Low Power Trainable Neuromorphic Integrated Circuit That Is Tolerant to Device Mismatch', IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 63, no. 2, pp. 211-221.
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© 2015 IEEE. Random device mismatch that arises as a result of scaling of the CMOS (complementary metal-oxide semi-conductor) technology into the deep submicrometer regime degrades the accuracy of analog circuits. Methods to combat this increase the complexity of design. We have developed a novel neuromorphic system called a trainable analog block (TAB), which exploits device mismatch as a means for random projections of the input to a higher dimensional space. The TAB framework is inspired by the principles of neural population coding operating in the biological nervous system. Three neuronal layers, namely input, hidden, and output, constitute the TAB framework, with the number of hidden layer neurons far exceeding the input layer neurons. Here, we present measurement results of the first prototype TAB chip built using a 65 nm process technology and show its learning capability for various regression tasks. Our TAB chip is tolerant to inherent randomness and variability arising due to the fabrication process. Additionally, we characterize each neuron and discuss the statistical variability of its tuning curve that arises due to random device mismatch, a desirable property for the learning capability of the TAB. We also discuss the effect of the number of hidden neurons and the resolution of output weights on the accuracy of the learning capability of the TAB. We show that the TAB is a low power system-the power dissipation in the TAB with 456 neuron blocks is 1.38 μW.

Tong, X-Q, Lin, J, Zhang, G-Y & Zhu, X 2016, 'Influence of web plate holes on the radiation noise characteristics of wheels of the high speed train', Journal of Vibroengineering, vol. 18, no. 7, pp. 4870-4884.
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The finite element model of wheels without holes was established to compute its free modal and compare with the experimental result. The relative error was controlled within 5 %, which indicated that the finite element model in this paper was reliable. Based on the finite element and geometric model, the acoustic boundary element model of wheels was established to compute the radiation noise of wheels under the action of radial and normal excitation forces. Results showed that the change trend and value of radiation noises of wheels were similar under the action of two kinds of excitation forces when the analyzed frequency was lower than 1421 Hz. However, the radiation noise of wheels under the action of two kinds of excitation forces was significantly different and presented obvious directivity in three planes with the increase of the analyzed frequency. Then, models of wheels with 5, 6, 9 and ellipse holes were established to compute radiation noises and conduct comparative analysis. Results showed that the radiation noise of wheels with 6 holes was relatively minimum under radial and normal excitations and did not decrease with the increase of the hole number. The radiation noise of wheels with circular holes made certain improvement, compared with the radiation noise of wheels with ellipse holes. Distribution curves for the directivity of radiation noises of various wheels were highly symmetrical in the Z plane and radiation noises had relatively maximum in the position of multiples of 30°. The curve for the directivity of radiation noises of wheels with 5 holes was clearly different from that of other structures in the Y plane.

Tran, LC, Mertins, A, Huang, X & Safaei, F 2016, 'Comprehensive Performance Analysis of Fully Cooperative Communication in WBANs', IEEE Access, vol. 4, pp. 8737-8756.
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© 2013 IEEE. While relay-based cooperative networks (widely known in the literature as cooperative communication), where relays only forward signals from the sources to the destination, have been extensively researched, fully cooperative systems have not been thoroughly examined. Unlike relay networks, in a fully cooperative network, each node acts as both a source node sending its own data and a relay forwarding its partner's data to the destination. Mutual cooperation between neighboring nodes is believed to improve the overall system error performance, especially when space-time codes are incorporated. However, a comprehensive performance analysis of space-time-coded fully cooperative communication from all three perspectives, namel,y error performance, outage probability, and energy efficiency, is still missing. Answers to the commonly asked questions of whether, in what conditions, and to what extent the space-time-coded fully cooperative communication is better than direct transmission are still unknown. Motivated by this fact and inspired by the increasing popularity of healthcare applications in wireless body area networks (WBANs), this paper derives for the first time a comprehensive performance analysis of a decode-and-forward space-time coded fully cooperative communication network in Rayleigh and Rician fading channels in either identically or non-identically distributed fading scenario. Numerical analysis of error performance, outage probability, and energy efficiency, validated by simulations, show that fully cooperative communication is better than direct transmission from all three aspects in many cases, especially at a low-power and low signal-to-noise ratio regime, which is a typical working condition in WBANs.

Tran, TT, ElBadawi, C, Totonjian, D, Lobo, CJ, Grosso, G, Moon, H, Englund, DR, Ford, MJ, Aharonovich, I & Toth, M 2016, 'Robust multicolor single photon emission from point defects in hexagonal boron nitride', 2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings, vol. 2017-January, no. 8, pp. 1-2.
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Hexagonal boron nitride (hBN) is an emerging two dimensional material forquantum photonics owing to its large bandgap and hyperbolic properties. Here wereport a broad range of multicolor room temperature single photon emissionsacross the visible and the near infrared spectral ranges from point defects inhBN multilayers. We show that the emitters can be categorized into two generalgroups, but most likely possess similar crystallographic structure. We furthershow two approaches for engineering of the emitters using either electron beamirradiation or annealing, and characterize their photophysical properties. Theemitters exhibit narrow line widths of sub 10 nm at room temperature, and ashort excited state lifetime with high brightness. Remarkably, the emitters areextremely robust and withstand aggressive annealing treatments in oxidizing andreducing environments. Our results constitute the first step towardsdeterministic engineering of single emitters in 2D materials and hold greatpromise for the use of defects in boron nitride as sources for quantuminformation processing and nanophotonics.

Tran, TT, Zachreson, C, Berhane, AM, Bray, K, Sandstrom, RG, Li, LH, Taniguchi, T, Watanabe, K, Aharonovich, I & Toth, M 2016, 'Quantum Emission from Defects in Single Crystal Hexagonal Boron Nitride', Physical Review Applied, vol. 5, no. 3.
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Bulk hexagonal boron nitride (hBN) is a highly nonlinear natural hyperbolicmaterial that attracts major attention in modern nanophotonics applications.However, studies of its optical properties in the visible part of the spectrumand quantum emitters hosted by bulk hBN have not been reported to date. In thiswork we study the emission properties of hBN crystals in the red spectral rangeusing sub-bandgap optical excitation. Quantum emission from defects is observedat room temperature and characterized in detail. Our results advance the use ofhBN in quantum nanophotonics technologies and enhance our fundamentalunderstanding of its optical properties.

Tu, C & Lee, JE-Y 2016, 'Effects of cryogenic cooling on the quality factor of lamb wave mode aluminium nitride piezoelectric-on-silicon MEMS resonators', Sensors and Actuators A: Physical, vol. 244, pp. 15-23.
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Tu, C & Lee, JE-Y 2016, 'VHF-band biconvex AlN-on-silicon micromechanical resonators with enhanced quality factor and suppressed spurious modes', Journal of Micromechanics and Microengineering, vol. 26, no. 6, pp. 065012-065012.
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Usman, M, He, X, Lam, K-M, Xu, M, Bokhari, SMM & Chen, J 2016, 'Frame Interpolation for Cloud-Based Mobile Video Streaming', IEEE Transactions on Multimedia, vol. 18, no. 5, pp. 831-839.
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© 2016 IEEE. Cloud-based High Definition (HD) video streaming is becoming popular day by day. On one hand, it is important for both end users and large storage servers to store their huge amount of data at different locations and servers. On the other hand, it is becoming a big challenge for network service providers to provide reliable connectivity to the network users. There have been many studies over cloud-based video streaming for Quality of Experience (QoE) for services like YouTube. Packet losses and bit errors are very common in transmission networks, which affect the user feedback over cloud-based media services. To cover up packet losses and bit errors, Error Concealment (EC) techniques are usually applied at the decoder/receiver side to estimate the lost information. This paper proposes a time-efficient and quality-oriented EC method. The proposed method considers H.265/HEVC based intra-encoded videos for the estimation of whole intra-frame loss. The main emphasis in the proposed approach is the recovery of Motion Vectors (MVs) of a lost frame in real-time. To boost-up the search process for the lost MVs, a bigger block size and searching in parallel are both considered. The simulation results clearly show that our proposed method outperforms the traditional Block Matching Algorithm (BMA) by approximately 2.5 dB and Frame Copy (FC) by up to 12 dB at a packet loss rate of 1%, 3%, and 5% with different Quantization Parameters (QPs). The computational time of the proposed approach outperforms the BMA by approximately 1788 seconds.

Vazquez, S, Aguilera, RP, Acuna, P, Pou, J, Leon, JI, Franquelo, LG & Agelidis, VG 2016, 'Model Predictive Control for Single-Phase NPC Converters Based on Optimal Switching Sequences', IEEE Transactions on Industrial Electronics, vol. 63, no. 12, pp. 7533-7541.
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Vinnikov, D, Li, Y & Abu-Rub, H 2016, 'Editorial Special Issue on Impedance-Source Converter Topologies and Applications', IEEE Transactions on Power Electronics, vol. 31, no. 11, pp. 7417-7418.
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Vu, TT, Kha, HH & Tuan, HD 2016, 'Transceiver Design for Optimizing the Energy Efficiency in Multiuser MIMO Channels', IEEE Communications Letters, vol. 20, no. 8, pp. 1507-1510.
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Wang, B, Ahmed, M, Wood, B & Iacopi, F 2016, 'All-solid-state supercapacitors on silicon using graphene from silicon carbide', Applied Physics Letters, vol. 108, no. 18, pp. 183903-183903.
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Carbon-based supercapacitors are lightweight devices with high energy storage performance, allowing for faster charge-discharge rates than batteries. Here, we present an example of all-solid-state supercapacitors on silicon for on-chip applications, paving the way towards energy supply systems embedded in miniaturized electronics with fast access and high safety of operation. We present a nickel-assisted graphitization method from epitaxial silicon carbide on a silicon substrate to demonstrate graphene as a binder-free electrode material for all-solid-state supercapacitors. We obtain graphene electrodes with a strongly enhanced surface area, assisted by the irregular intrusion of nickel into the carbide layer, delivering a typical double-layer capacitance behavior with a specific area capacitance of up to 174 μF cm−2 with about 88% capacitance retention over 10 000 cycles. The fabrication technique illustrated in this work provides a strategic approach to fabricate micro-scale energy storage devices compatible with silicon electronics and offering ultimate miniaturization capabilities.

Wang, C, Ni, W, Zhang, D, Sun, X, Wang, J, Li, H & Zhang, N 2016, 'Dielectric properties of pure and Mn-doped CaCu3Ti4O12 ceramics over a wide temperature range', Journal of Electroceramics, vol. 36, no. 1-4, pp. 46-57.
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Wang, J, Qu, Z, Chen, Y, Mei, T, Xu, M, Zhang, L & Lu, H 2016, 'Adaptive Content Condensation Based on Grid Optimization for Thumbnail Image Generation', IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 11, pp. 2079-2092.
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An ideal thumbnail generator should effectively condense unimportant regions and keep the important content undeformed, completed, and at a proper scale, i.e., accuracy, completeness, and sufficiency. Each retargeting method has its own advantage for resizing arbitrary images. However, they often ignore the completeness and sufficiency for information presentation in thumbnails. In this paper, we formulate thumbnail generation as an image content condensation problem and propose a unified grid optimization framework to fuse multiple operators. From the view of accuracy, completeness, and suffi- ciency for information presentation, we exploit complementary relationships among three condensation operators and fuse them into a unified grid-based convex programming problem, which could be solved simultaneously and efficiently through numerical optimization. Besides warping energy to preserve the geometric structure of important objects, we put forward two grid-based energy terms to keep the completeness of important objects and retain them at a proper size. Finally, an adaptive procedure is proposed to dynamically adjust the contribution of loss functions for achieving optimal content condensation. Both qualitative and quantitative comparison results demonstrate that the proposed method achieves an excellent tradeoff among accuracy, completeness, and sufficiency of information preservation. The experimental results show that our approach is obviously superior to the state-of-the-art techniques.

Wang, J, Xu, M, Lu, H & Burnett, I 2016, 'ActiveAd: A novel framework of linking ad videos to online products', Neurocomputing, vol. 185, pp. 82-92.
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© 2016 Elsevier B.V. With the wide use of consumer electronics and the rapid development of online shopping, more and more ad videos are developed for IDTV and mobile users. However, a huge amount of time spending on the Internet advertising somehow brings users uncomfortable viewing experience rather than effectively generates high consumption of advertised products. Therefore, it is urgent to find a viewer-friendly and advertiser-beneficial solution to launch ads. This paper is the first attempt to improve the effectiveness of advertising through combining online shopping information with an ad video and directing viewers to proper online shopping places. The proposed ActiveAd framework includes four main components. Firstly, an ad video analysis component detects both syntactic and semantic elements from ad videos, e.g. FMPIs (Frame Marked with Production Information), visual concepts, and textual keywords within the ad videos. Our ad video analysis provides a comprehensive solution to extract meaningful elements from ad videos. Secondly, a visual linking by search component is proposed to collect websites which contain similar images as FMPIs. Features used for the visual search are weighted and fused in order to ensure the uniformity of search results. Thirdly, different kinds of tags and product categories extracted from collected websites are aggregated in order to identify the representative text of the product. Finally, query keywords are selected through calculating cosine similarity from two kinds of keywords, i.e. keywords identified from tag aggregation and keywords obtained through ad video analysis (visual concept detection and textual keyword detection). A query vector is generated by selected keywords and used to retrieve product online. In this paper, a powerful cross-media contextual search including visual search, tag aggregation and textual search is achieved with the help of ad video analysis. Experiments demonstrate that our proposed Active...

Wang, L, Patras, I, Zhang, J, Mori, G & Davis, L 2016, 'Special Issue on Individual and Group Activities in Video Event Analysis', Computer Vision and Image Understanding, vol. 144, pp. 1-2.
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Wang, P, Lu, G, Yan, H, Ni, W, Xu, M, Xue, Y & Yan, Y-M 2016, 'Preparation of porous reduced graphene oxide using cellulose acetate for high performance capacitive desalination', RSC Advances, vol. 6, no. 74, pp. 70532-70536.
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A three-dimensional porous graphene electrode is prepared by using cellulose acetate as a template. The electrode possesses ideal porous structure and large surface area, therefore resulting in high electrosorption capacity for CDI application.

Wang, S, Dorrell, DG, Guo, Y & Hsieh, M-F 2016, 'Inductive Charging Coupler With Assistive Coils', IEEE TRANSACTIONS ON MAGNETICS, vol. 52, no. 7.
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© 2016 IEEE. A wireless charging system contains a high-frequency power source, a wireless transformer/coupler, a rectifier, and the load. The wireless transformer/coupler is the key element of the wireless charging system, and the power source and the rectifier design are all dependent on its design. For a two coil type wireless transformer, the maximum efficiency is limited by the coupling coefficient, which rapidly decreases with increasing distance between the primary and secondary coils. The four coil system is widely used in low-power applications, where the maximum power transfer operating point is away from the maximum efficiency point. This paper proposes an inductive charging coupler with small assistive coils, where the high power and maximum efficiency regions overlap.

Wang, X, Ni, W, Zheng, K, Liu, RP & Niu, X 2016, 'Virus Propagation Modeling and Convergence Analysis in Large-Scale Networks', IEEE Transactions on Information Forensics and Security, vol. 11, no. 10, pp. 2241-2254.
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© 2016 IEEE. Biological epidemic models, widely used to model computer virus propagations, suffer from either limited scalability to large networks, or accuracy loss resulting from simplifying approximations. In this paper, a discrete-time absorbing Markov process is constructed to precisely characterize virus propagations. Conducting eigenvalue analysis and Jordan decomposition to the process, we prove that the virus extinction rate, i.e., the rate at which the Markov process converges to a virus-free absorbing state, is bounded. The bounds, depending on the infection and curing probabilities, and the minimum degree of the network topology, have closed forms. We also reveal that the minimum curing probability for a given extinction rate requirement, specified through the upper bound, is independent of the explicit size of the network. As a result, we can interpret the extinction rate requirement of a large network with that of a much smaller one, evaluate its minimum curing requirement, and achieve simplifications with negligible loss of accuracy. Simulation results corroborate the effectiveness of the interpretation, as well as its analytical accuracy in large networks.

Wang, Y, Zhang, J, Liu, Z, Wu, Q, Chou, PA, Zhang, Z & Jia, Y 2016, 'Handling Occlusion and Large Displacement Through Improved RGB-D Scene Flow Estimation', IEEE Transactions on Circuits and Systems for Video Technology, vol. 26, no. 7, pp. 1265-1278.
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© 1991-2012 IEEE. The accuracy of scene flow is restricted by several challenges such as occlusion and large displacement motion. When occlusion happens, the positions inside the occluded regions lose their corresponding counterparts in preceding and succeeding frames. Large displacement motion will increase the complexity of motion modeling and computation. Moreover, occlusion and large displacement motion are highly related problems in scene flow estimation, e.g., large displacement motion often leads to considerably occluded regions in the scene. An improved dense scene flow method based on red-green-blue-depth (RGB-D) data is proposed in this paper. To handle occlusion, we model the occlusion status for each point in our problem formulation, and jointly estimate the scene flow and occluded regions. To deal with large displacement motion, we employ an over-parameterized scene flow representation to model both the rotation and translation components of the scene flow, since large displacement motion cannot be well approximated using translational motion only. Furthermore, we employ a two-stage optimization procedure for this overparameterized scene flow representation. In the first stage, we propose a new RGB-D PatchMatch method, which is mainly applied in the RGB-D image space to reduce the computational complexity introduced by the large displacement motion. According to the quantitative evaluation based on the Middlebury data set, our method outperforms other published methods. The improved performance is also comprehensively confirmed on the real data acquired by Kinect sensor.

Wang, Z, Xu, W, Lei, G & Zhu, J 2016, 'Multilayer Winding Effect on Performance of Flux-Switching Permanent Magnet Machines', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-4.
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© 2002-2011 IEEE. Flux-switching permanent magnet machines (FSPMMs) with fractional-slot concentrated windings (FSCWs) are good candidates for electric vehicle applications due to their simple doubly salient construction, the magnets and windings being removed from rotor to stator, and strong mechanical robustness. They have attracted considerable interest from academia and industry not only because of their essentially sinusoidal phase back electromotive force (back-EMF) waveform, but also their high electromagnetic torque/power densities. Although the FSCW can reduce the end-winding overlap and deliver near-sinusoidal back-EMF, it still contains a little amount of harmonics so as to result in other more losses. The inherent nature of the FSPMMs with different types of FSCWs has not been investigated in detail till now. In this paper, a typical three-phase FSPMM with 12/13 stator teeth/rotor poles with FSCW is employed, to investigate the effect of number of winding layer on key electromagnetic indexes based on finite element analysis. Comprehensive simulations demonstrate that significant reduction can be got on torque ripple, total harmonic distortion of back-EMF and losses with higher number of winding layer.

Wang, Z, Ye, N, Malekian, R, Xiao, F & Wang, R 2016, 'TrackT: Accurate tracking of RFID tags with mm-level accuracy using first-order taylor series approximation', Ad Hoc Networks, vol. 53, pp. 132-144.
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Watterson, PA & Nicholson, GM 2016, 'Untitled Reply', JOURNAL OF PHYSIOLOGY-LONDON, vol. 594, no. 13, pp. 3843-3844.
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Drs Kordi´candDeletis(Kordi´c&Deletis,2016) have raised important issues aboutthe focality and controllability of theexcitation method described in our recentpaper entitled ‘Nerve–muscle activation byrotating permanent magnet configurations’(Watterson & Nicholson, 2016), which weare pleased to discuss.

Wei, F, Qin, P, Guo, YJ & Shi, X 2016, 'Design of multi‐band bandpass filters based on stub loaded stepped‐impedance resonator with defected microstrip structure', IET Microwaves, Antennas & Propagation, vol. 10, no. 2, pp. 230-236.
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© The Institution of Engineering and Technology. The design of multi-band bandpass filters (BPFs) employing stub loaded stepped-impedance resonator with defected microstrip structure (SL-SIR-DMS) is presented in this study for the first time. The proposed SL-SIR-DMS is created by embedding DMS on the low-impedance line of the SL-SIR. It is found that different defected structures can lead to different frequency responses. In addition, by using DMS, tri-band and even quad-band responses can be easily achieved without increasing the resonator size. As verification, one tri-band SL-SIR-DMS and one quad-band SL-SIR-DMS are designed and analysed using even/odd-mode method. Subsequently, one tri-band BPF and one quad-band BPF have been developed with pseudo-interdigital coupling to realise good out-of-band performance. The predicted results are compared with measured ones and good agreement is achieved. Compared with BPFs using only SL-SIR, the proposed filters with DMS are more compact due to the slow-wave characteristic. Compared with the BPFs using defected ground structure to improve the stopband performance, the proposed ones can realise comparable wide stopbands but maintaining the signal integrity on the ground plane for packaging purpose.

Wei, F, Qin, P-Y, Guo, YJ, Ding, C & Shi, XW 2016, 'Compact Balanced Dual- and Tri-Band BPFs Based on Coupled Complementary Split-Ring Resonators (C-CSRR)', IEEE Microwave and Wireless Components Letters, vol. 26, no. 2, pp. 107-109.
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© 2016 IEEE. Two multi-band balanced bandpass filters (BPFs) are proposed by embedding multi-band coupled complementary split-ring resonators (C-CSRRs) into a balanced stepped-impedance microstrip-slotline transition structure. The proposed C-CSRR is made from two or three nested CSRRs with a pair of coupling slotlines in the open end of each ring, which can result in dual-band or tri-band bandpass responses, respectivley. It is found that a high and wideband common-mode (CM) suppression can be achieved for the proposed filters. Moreover, the center frequencies of the differential-mode (DM) passbands are independent from the CM responses, which significantly simplify the design procedure. In order to validate its practicalbility, two balanced BPFs with two and three DM passbands are fabricated and good agreement between simulated and measured results is observed.

Wei, Y, Sun, B, Su, D, Zhu, J & Wang, G 2016, '3D Free-Standing NiCo2O4@graphene Foam for High-Performance Supercapacitors', ENERGY TECHNOLOGY, vol. 4, no. 6, pp. 737-743.
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Wu, C, Goh, WL, Kok, CL, Siek, L, Lam, YH, Zhu, X & Singh, RP 2016, 'Asymmetrical Dead-Time Control Driver for Buck Regulator', IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 24, no. 12, pp. 3543-3547.
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This brief presents an asymmetrical dead-time control driver (ASDTCD) for synchronous buck converter operating in the continuous conduction mode. Dead-time control is an important metric for improving the efficiency of switching mode power regulator. Without an additional circuit, the proposed ASDTCD can generate dead time by controlling the slope for the output signal of the driver. The proposed ASDTCD utilizes the transition between triode region and saturation region for the power transistor to avoid body-diode conduction and shoot-through current while minimizing the switching loss. Thus, high-speed body-diode conduction sensor is avoided; thereby, reducing the power consumption and saving silicon area. In addition, the body-diode conduction time control accuracy is also enhanced. Less than 1-ns body-diode conduction time has been achieved without bringing in shoot-through current across 10-450-mA load range. With less than 0.5% of the total input power consumed, the proposed ASDTCD takes less than 1% of the power transistor area. This design is implemented in the 0.18-μm CMOS process.

Wu, D, Chen, W & Ni, W 2016, 'Software Implementation of BeiDou B1I Code Generator Using Matlab/Simulink', Recent Patents on Computer Science, vol. 9, no. 1, pp. 74-80.
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Conventional Matlab implementation of software ranging code generator requires code shifts to produce the ranging codes assigned to different satellites. Unfortunately, it is unable to implement software BeiDou B1I code generator using this method, because the B1I code shifts are unknown. Based on the generator revealed in BeiDou Interface Control Document (BICD), a software generator is implemented by using Simulink blocks in conjunction with Matlab programs in this paper. The Simulink blocks enable the generator to compute the BeiDou B1I code shifts, as well as reducing the complexity of the implementation. Simulation results show that the implementation is feasible and reliable. All B1I code shifts are calculated, which can be used for both software and hardware implementation in the future. Patents describing a wide range of applications based on the BeiDou system have also been proposed and implemented.

Wu, L, Qiu, X, Burnett, I & Guo, Y 2016, 'Uncertainties of reverberation time estimation via adaptively identified room impulse responses', JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, vol. 139, no. 3, pp. 1093-1100.
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Xu, W, Duan, N, Wang, S, Guo, Y & Zhu, J 2016, 'A Stress-Dependent Magnetic Hysteresis Model for Soft Magnetic Composite Materials', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-5.
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Xu, W, Wang, G, Duan, N, Wang, S, Guo, Y & Zhu, J 2016, 'Extended Finite-Element Method for Weak Discontinuities in Electric Fields', IEEE Transactions on Applied Superconductivity, vol. 26, no. 7, pp. 1-5.
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Yang, Y, Zhu, X, Ma, K, Simorangkir, RBVB, Karmakar, NC & Esselle, KP 2016, 'Development of Wireless Transducer for Real-Time Remote Patient Monitoring', IEEE Sensors Journal, vol. 16, no. 12, pp. 4669-4670.
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© 2001-2012 IEEE. A novel wireless transducer that uses analog-based technology at 2.4 GHz is presented in this letter. The transducer consists of an electrocardiography (ECG) detection circuit and a novel three-stage amplitude modulation transmitter that up-converts the ECG signal to a 2.4-GHz carrier frequency. To minimize the effects due to local oscillator leakage as well as the interference at the image frequency, the intermediate frequency is carefully selected, and a bandpass filter with a very sharp selectivity is designed. As demonstrated by the experimental results, the full-wave ECG signals can be successfully demodulated from the transmitted signal using the presented transducer. This enables the possibility of using analog-based technology for remote patient monitoring in real time.

Ye, L, Liu, Z, Zhou, X, Shen, L & Zhang, J 2016, 'Saliency Detection Via Similar Image Retrieval', IEEE Signal Processing Letters, vol. 23, no. 6, pp. 838-842.
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Yuwono, M, Qin, Y, Zhou, J, Guo, Y, Celler, BG & Su, SW 2016, 'Automatic bearing fault diagnosis using particle swarm clustering and Hidden Markov Model', Engineering Applications of Artificial Intelligence, vol. 47, pp. 88-100.
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© 2015 Elsevier Ltd. Ball bearings are integral elements in most rotating manufacturing machineries. While detecting defective bearing is relatively straightforward, discovering the source of defect requires advanced signal processing techniques. This paper proposes an automatic bearing defect diagnosis method based on Swarm Rapid Centroid Estimation (SRCE) and Hidden Markov Model (HMM). Using the defect frequency signatures extracted with Wavelet Kurtogram and Cepstral Liftering, SRCE+HMM achieved on average the sensitivity, specificity, and error rate of 98.02%, 96.03%, and 2.65%, respectively, on the bearing fault vibration data provided by Case School of Engineering of the Case Western Reserve University (CSE) which warrants further investigation.

Zarotti, F, Gupta, B, Iacopi, F, Sgarlata, A, Tomellini, M & Motta, N 2016, 'Time evolution of graphene growth on SiC as a function of annealing temperature', Carbon, vol. 98, pp. 307-312.
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Zeb, BA, Afzal, MU & Esselle, KP 2016, 'Performance analysis of classical and phase‐corrected electromagnetic band gap resonator antennas with all‐dielectric superstructures', IET Microwaves, Antennas & Propagation, vol. 10, no. 12, pp. 1276-1284.
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Zhang, C, Zhu, J & Han, X 2016, 'Rotor strength analysis of high-speed surface mounted permanent magnet rotors', Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, vol. 36, no. 17, pp. 4719-4727.
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During high speed operation, permanent magnets (PMs) cannot withstand tensile stress due to the large centrifugal force, and an alloy enclosure is commonly employed to protect the permanent magnets. In order to ensure the safe operation of permanent magnet rotors, it is necessary to calculate the stress in the alloy enclosures and PMs. Because of the slim characteristic of high speed permanent magnet rotors, analytical expressions of stress, strain and displacement were deduced based on the theory of the thick-walled cylinder. The validity of the theoretic analysis was verified by the finite element method (FEM). Based on the derived analytic expressions, the influences of static interference, the thickness of alloy enclosures and shaft material character on strength were analyzed, and the general design guidelines were derived. Using a high speed PM machine of 30000r/min and 15kW as an example, the design method of high speed PM rotor strength and a basis for protective sleeve design are given.

Zhang, J, Wu, Q, Shen, C, Zhang, J & Lu, J 2016, 'Multi-Label Image Classification with Regional Latent Semantic Dependencies', IEEE Transactions on Multimedia, vol. 20, no. 10, pp. 2801-2813.
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Deep convolution neural networks (CNN) have demonstrated advanced performanceon single-label image classification, and various progress also have been madeto apply CNN methods on multi-label image classification, which requires toannotate objects, attributes, scene categories etc. in a single shot. Recentstate-of-the-art approaches to multi-label image classification exploit thelabel dependencies in an image, at global level, largely improving the labelingcapacity. However, predicting small objects and visual concepts is stillchallenging due to the limited discrimination of the global visual features. Inthis paper, we propose a Regional Latent Semantic Dependencies model (RLSD) toaddress this problem. The utilized model includes a fully convolutionallocalization architecture to localize the regions that may contain multiplehighly-dependent labels. The localized regions are further sent to therecurrent neural networks (RNN) to characterize the latent semanticdependencies at the regional level. Experimental results on several benchmarkdatasets show that our proposed model achieves the best performance compared tothe state-of-the-art models, especially for predicting small objects occurredin the images. In addition, we set up an upper bound model (RLSD+ft-RPN) usingbounding box coordinates during training, the experimental results also showthat our RLSD can approach the upper bound without using the bounding-boxannotations, which is more realistic in the real world.

Zhang, JA, Chen, Z, Cheng, P & Huang, X 2016, 'Multiple-measurement vector based implementation for single-measurement vector sparse Bayesian learning with reduced complexity', Signal Processing, vol. 118, no. January 2016, pp. 153-158.
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© 2015 Elsevier B.V. Abstract Sparse Bayesian learning (SBL) has high computational complexity associated with matrix inversion in each iteration. In this paper, we investigate complexity reduced multiple-measurement vector (MMV) based implementation for single-measurement vector SBL problems. For problems with special structured sensing matrices, we propose two sub-optimal SBL schemes with significantly reduced complexity and slight estimation performance degradation, by exploiting the deterministic correlation in the converted MMV model explicitly. Two application scenarios on channel estimation in multicarrier systems and direction of arrival estimation are presented. Simulation results validate the effectiveness of the schemes.

Zhang, JA, Ni, W, Cheng, P & Lu, Y 2016, 'Angle-of-Arrival Estimation Using Different Phase Shifts Across Subarrays in Localized Hybrid Arrays', IEEE Communications Letters, vol. 20, no. 11, pp. 2205-2208.
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© 1997-2012 IEEE. Angle-of-arrival (AoA) estimation, even for a single arriving signal, in a localized hybrid array is challenging and time-consuming due to a phase ambiguity problem. Subarrays use the same phase shifting values conventionally to exploit cross correlation between them. This results in the requirement of scanning multiple angles over excessively long periods to resolve the phase ambiguity problem. In this letter, we propose an approach which allows subarrays to use different phase shifts per estimation and can resolve the ambiguity problem by directly estimating the desired AoA parameter. This can potentially speed up the estimation and improve the estimation performance significantly. Simulation results are provided to demonstrate the effectiveness of the proposed approach.

Zhang, K, Zhang, X, Ni, W, Zhang, L, Yao, J, Li, L & Yan, X 2016, 'Nonlinear constrained production optimization based on augmented Lagrangian function and stochastic gradient', Journal of Petroleum Science and Engineering, vol. 146, pp. 418-431.
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Zhang, T, Yang, Z, Jia, W, Yang, B, Yang, J & He, X 2016, 'A new method for violence detection in surveillance scenes', Multimedia Tools and Applications, vol. 75, no. 12, pp. 7327-7349.
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© 2015, Springer Science+Business Media New York. Violence detection is a hot topic for surveillance systems. However, it has not been studied as much as for action recognition. Existing vision-based methods mainly concentrate on violence detection and make little effort to determine the location of violence. In this paper, we propose a fast and robust framework for detecting and localizing violence in surveillance scenes. For this purpose, a Gaussian Model of Optical Flow (GMOF) is proposed to extract candidate violence regions, which are adaptively modeled as a deviation from the normal behavior of crowd observed in the scene. Violence detection is then performed on each video volume constructed by densely sampling the candidate violence regions. To distinguish violent events from nonviolent events, we also propose a novel descriptor, named as Orientation Histogram of Optical Flow (OHOF), which are fed into a linear SVM for classification. Experimental results on several benchmark datasets have demonstrated the superiority of our proposed method over the state-of-the-arts in terms of both detection accuracy and processing speed, even in crowded scenes.

Zhang, X, Yuan, Z, Yang, Q, Li, Y, Zhu, J & Li, Y 2016, 'Coil Design and Efficiency Analysis for Dynamic Wireless Charging System for Electric Vehicles', IEEE Transactions on Magnetics, vol. 52, no. 7, pp. 1-4.
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Wireless charging electric vehicles (EV) is the development trend of EV. However, the battery taken by EVs has the disadvantages of big volume, long time to recharge, and limited driving distance. In this paper, an innovative dynamic wireless charging system based on magnetic coupled resonant power transmission is presented. The transmitting coil of this charging system can selectively turn ON/OFF for charging vehicles while driving. The structures of the transmitting coil and receiving coil are researched and improved. In addition, the dispersed coupling structure named grouped periodic series spiral coupler is proposed, and its characteristics are described. A simulation of coupling coefficients at different D values is carried out. A prototype is built to experiment on the dynamic wireless charging process of EV. Meanwhile, the coil coupling and variation of transmission efficiency are analyzed. The comparison of the experiment indicated that the EV can obtain a stable charging process under 25 mm transmission distance using the improved receiving coil with R : H : D=4:5:13. Moreover, the dynamic charging process is relatively stable without an obvious fluctuation while passing the interval between two transmitting coils, and the transmission efficiency is promoted by 50%.

Zhang, Y, Čejka, J, Lumpkin, GR, Tran, TT, Aharonovich, I, Karatchevtseva, I, Price, JR, Scales, N & Lu, K 2016, 'Hydrothermal synthesis, structures and properties of two uranyl oxide hydroxyl hydrate phases with Co(ii) or Ni(ii) ions', New Journal of Chemistry, vol. 40, no. 6, pp. 5357-5363.
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Two new iso-structured uranyl oxide hydroxyl hydrate phases with hydroxyl Co²⁺or Ni²⁺ions at the interlayers have been synthesised under hydrothermal conditions and structurally characterised.

Zhang, Y, Clegg, JK, Lu, K, Lumpkin, GR, Tran, TT, Aharonovich, I, Scales, N & Li, F 2016, 'Uranium(VI) hybrid materials with [(UO₂)₃(µ₃‐O)(µ₂‐OH)₃]⁺ as the sub–building unit via uranyl–cation interactions', ChemistrySelect, vol. 1, no. 1, pp. 7-12.
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AbstractThe hydrothermal reaction of uranyl nitrate with 1,4‐benzenedicarboxylic acid (H2bdc) in the presence of strontium or potassium hydroxides and nitrates afford the formation of two new uranyl hybrid materials featuring extensive uranyl‐strontium or uranyl‐potassium interactions with [(UO2)3(µ3‐O)(µ2‐OH)3]+ as the sub‐building unit. Sr1.5[(UO2)12(O)3(OH)13(bdc)4]⋅6H2O (1) contains one‐dimensional (1D) uranyl oxohydroxyl ribbons made of trinuclear pentagonal bipyramidal uranyl units. The ribbons are linked together via uranyl‐strontium interactions to form 2D inorganic domains which are further connected through µ4‐bdc anions forming a 3D hybrid structure. This is the first reported uranyl‐strontium interaction in extended hybrid solid with the shortest Sr‐O−yl bond length of 2.596 (8) Å. K3[(UO2)12(O)3(OH)13(bdc)4]⋅8H2O (2) has a similar 3D hybrid structure built up through extensive K‐O−yl interactions with the shortest K‐O−yl bond length of 2.620 (6) Å. Raman spectroscopy has confirmed the presence of oxo‐bridging (U−O−U) vibrations. Thermal stabilities and photoluminescent properties are reported.

Zhang, Y, Karatchevtseva, I, Bhadbhade, M, Tran, TT, Aharonovich, I, Fanna, DJ, Shepherd, ND, Lu, K, Li, F & Lumpkin, GR 2016, 'Solvothermal synthesis of uranium(VI) phases with aromatic carboxylate ligands: A dinuclear complex with 4-hydroxybenzoic acid and a 3D framework with terephthalic acid', Journal of Solid State Chemistry, vol. 234, pp. 22-28.
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Crown Copyright © 2015 Published by Elsevier Inc. With the coordination of dimethylformamide (DMF), two new uranium(VI) complexes with either 4-hydroxybenzoic acid (H2phb) or terephthalic acid (H2tph) have been synthesized under solvothermal conditions and structurally characterized. [(UO2)2(Hphb)2(phb)(DMF)(H2O)3]·4H2O (1) has a dinuclear structure constructed with both pentagonal and hexagonal bipyramidal uranium polyhedra linked through a μ2-bridging ligand via both chelating carboxylate arm and alcohol oxygen bonding, first observation of such a coordination mode of 4-hydroxybenzoate for 5 f ions. [(UO2)(tph)(DMF)] (2) has a three-dimensional (3D) framework built with pentagonal bipyramidal uranium polyhedra linked with μ4-terephthalate ligands. The 3D channeled structure is facilitated by the unique carboxylate bonding with nearly linear C-O-U angles and the coordination of DMF molecules. The presence of phb ligands in different coordination modes, uranyl ions in diverse environments and DMF in complex 1, and tph ligand, DMF and uranyl ion in complex 2 has been confirmed by Raman spectroscopy. In addition, their thermal stability and photoluminescence properties have been investigated.

Zhao, H, Lu, Z, Zhang, J, Li, X, Guo, X & Sun, X 2016, 'Method to decide a multi-fault rush repair robust strategy in power distribution networks', Engineering Applications of Artificial Intelligence, vol. 56, pp. 91-101.
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Zhao, S, Cheng, E, Qiu, X, Burnett, I & Liu, JC-C 2016, 'Pressure spectra in turbulent flows in the inertial and the dissipation ranges', The Journal of the Acoustical Society of America, vol. 140, no. 6, pp. 4178-4182.
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Based on existing studies that provide the pressure spectra in turbulent flows from the asymptotic pressure structure function in the inertial range, this paper extends the pressure spectrum to the dissipation range by proposing a pressure structure function model that incorporates both the inertial and dissipation ranges. Existing experiment results were used to validate the proposed pressure structure function model first, and then the obtained pressure spectrum was compared with the simulation and measurement data in the literature and the wind-induced noise measured outdoors. All comparisons demonstrate that the pressure spectrum obtained from the proposed pressure structure function model can be used to estimate the pressure spectra in both the inertial and dissipation ranges in turbulent flows with a sufficiently large Reynolds number.

Zheng, L, Zhang, L, Zhu, J, Wang, G & Jiang, J 2016, 'Co-estimation of state-of-charge, capacity and resistance for lithium-ion batteries based on a high-fidelity electrochemical model', Applied Energy, vol. 180, pp. 424-434.
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Zheng, L, Zhu, J, Wang, G, He, T & Wei, Y 2016, 'Novel methods for estimating lithium-ion battery state of energy and maximum available energy', Applied Energy, vol. 178, pp. 1-8.
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© 2016 Elsevier Ltd. The battery state of energy (SOE) allows a direct determination of the ratio between the remaining and maximum available energy of a battery, which is critical for energy optimization and management in energy storage systems. In this paper, the ambient temperature, battery discharge/charge current rate and cell aging level dependencies of battery maximum available energy and SOE are comprehensively analyzed. An explicit quantitative relationship between SOE and state of charge (SOC) for LiMn2O4 battery cells is proposed for SOE estimation, and a moving-window energy-integral technique is incorporated to estimate battery maximum available energy. Experimental results show that the proposed approaches can estimate battery maximum available energy and SOE with high precision. The robustness of the proposed approaches against various operation conditions and cell aging levels is systematically evaluated.

Zhu, H & Abbosh, A 2016, 'Compact tunable bandpass filter with wide tuning range of centre frequency and bandwidth using coupled lines and short‐ended stubs', IET Microwaves, Antennas & Propagation, vol. 10, no. 8, pp. 863-870.
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Zhu, H & Abbosh, AM 2016, 'Modified Wideband Marchand Balun With Tunable Power Division Ratio and Constant Phase', IEEE Microwave and Wireless Components Letters, vol. 26, no. 5, pp. 319-321.
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Zhu, H & Abbosh, AM 2016, 'Single- and Dual-Band Bandpass Filters Using Coupled Stepped-Impedance Resonators With Embedded Coupled-Lines', IEEE Microwave and Wireless Components Letters, vol. 26, no. 9, pp. 675-677.
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Zhu, H & Abbosh, AM 2016, 'Tunable Balanced Bandpass Filter With Wide Tuning Range of Center Frequency and Bandwidth Using Compact Coupled-Line Resonator', IEEE Microwave and Wireless Components Letters, vol. 26, no. 1, pp. 7-9.
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Zhu, H, Abbosh, AM & Guo, L 2016, 'Wideband Four-Way Filtering Power Divider With Sharp Selectivity and Wide Stopband Using Looped Coupled-Line Structures', IEEE Microwave and Wireless Components Letters, vol. 26, no. 6, pp. 413-415.
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A compact wideband four-way filtering PD is presented. The structure of the proposed device includes a pair of looped coupled-line structures to provide the needed power division to four output ports. Moreover, a pair of short-ended coupled-line stubs is used to introduce multiple transmission poles and transmission zeros for a sharp cut-off of the passband and high upper-stopband rejection. A detailed design procedure is shown to determine the initial design parameters. A prototype is designed, simulated and measured experimentally. The measured results show 56.5% bandwidth centered at 1.5 GHz with more than 15 dB upper-stopband rejection up to 4.15 GHz, more than 13 dB in-band isolation, and 15 dB return loss at all output ports.

Zhu, LF, Zhu, JG, Tong, WM & Han, XY 2016, 'Experimental research on influences of shrink fitting process to iron losses of amorphous alloy motor', Dianji yu Kongzhi Xuebao/Electric Machines and Control, vol. 20, no. 9, pp. 40-45.
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In order to research the influences of shrink fitting process to the iron losses of amorphous alloy permanent magnet motor, experimental method was adopted to measure the loss characteristics of amorphous alloy material at several shrink ranges, and the results were analyzed. The iron losses calculation method of amorphous alloy motor was given which is in consideration of the influences of shrink fitting process. The calculated results were verified by measured results of an amorphous alloy motor, and the influences of shrink fitting process to amorphous alloy motor was analyzed. The results show that, the eddy current part of amorphous alloy material and the yoke loss of amorphous alloy motor increase a lot because of the shrink fitting process, which leads to a increasing of temperature raise and decreasing of efficiency performance. So, the shrink range should be as small as possible or the shrink fitting process is not used during the casing of amorphous alloy motors.

Abidi, S, Piccardi, M & Williams, M-A 1970, 'Static action recognition by efficient greedy inference', 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 2016 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, Lake Placid, NY, USA, pp. 1-8.
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© 2016 IEEE. Action recognition from a single image is an important task for applications such as image annotation, robotic navigation, video surveillance and several others. Existing methods for recognizing actions from still images mainly rely on either bag-of-feature representations or pose estimation from articulated body-part models. However, the relationship between the action and the containing image is still substantially unexplored. Actually, the presence of given objects or specific backgrounds is likely to provide informative clues for the recognition of the action. For this reason, in this paper we propose approaching action recognition by first partitioning the entire image into superpixels, and then using their latent classes as attributes of the action. The action class is predicted based on a graphical model composed of measurements from each superpixel and a fully-connected graph of superpixel classes. The model is learned using a latent structural SVM approach, and an efficient, greedy algorithm is proposed to provide inference over the graph. Differently from most existing methods, the proposed approach does not require annotation of the actor (usually provided as a bounding box). Experimental results over the challenging Stanford 40 Action dataset have reported an impressive mean average precision of 72.3%, the highest achieved to date.

Afzal, MU & Esselle, KP 1970, 'A low profile flat perforated dielectric beam focusing structure for electromagnetic bandgap resonator antennas', 2016 IEEE 2nd Australian Microwave Symposium (AMS), 2016 IEEE 2nd Australian Microwave Symposium (AMS), IEEE, IEEE MTT S, Adelaide, AUSTRALIA, pp. 31-32.
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Afzal, MU & Esselle, KP 1970, 'A planar low-profile transverse permittivity gradient phase correcting structure for electromagnetic bandgap resonator antennas', 2016 IEEE International Symposium on Antennas and Propagation (APSURSI), 2016 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, IEEE, Fajardo, PR, pp. 1919-1920.
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Afzal, MU & Esselle, KP 1970, 'Comparative study and analysis of high permittivity and low permittivity continuous phase correcting structures for EBG resonator antennas', 2015 International Symposium on Antennas and Propagation, ISAP 2015, International Symposium on Antennas and Propagation (ISAP), IEEE, Hobart, AUSTRALIA.
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This paper presents low-profile continuous phase correcting structures (PCS) for conventional electromagnetic bandgap resonator antennas (ERAs). This PCS has been implemented using a relative high-permittivity-dielectric material and is compared with a low-permittivity Rexolite PCS reported previously. The use of high permittivity materials is not advisable for the PCS design as it increases reflections from the input surface of the PCS; a PCS is supposed to be highly transmitting structure. However, it was found that if a high-permittivity-dielectric PCS is placed above ERA with a proper spacing then high reflections can be used to an advantage. Overall peak directivity of an ERA with TMM4 PCS is 1 dB more than that of the Rexolite PCS along with 44% reduced height profile.

Afzal, MU & Esselle, KP 1970, 'Radiation performance and profile comparison of all-dielectric phase-corrected electromagnetic bandgap resonator antennas and hyperbolic lens antennas', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, AUSTRALIA, pp. 704-707.
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Afzal, MU & Esselle, KP 1970, 'Sometimes phase correction does not increase directivity of electromagnetic bandgap resonator antennas - a case study', 2016 URSI Asia-Pacific Radio Science Conference (URSI AP-RASC), 2016 URSI Asia-Pacific Radio Science Conference (URSI AP-RASC), IEEE, Seoul, SOUTH KOREA, pp. 20-23.
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Agrawal, A, Cabrera-Espana, FJ, Oates, A & Reehal, H 1970, 'Hut-like pillar Si solar cells', 2016 Conference on Lasers and Electro-Optics, CLEO 2016.
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This paper introduces an exciting new hut-like texturing pattern that shows lower Reflectance than pyramids and nanowires in the shorter and longer wavelengths respectively.

Ahmed, F, Chowdhury, MHM & Hasan, N 1970, 'A Compact Multiband Antenna for 4G/LTE and WLAN Mobile Phone Applications', 2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), IEEE, Military Inst Sci & Technol, Dhaka, BANGLADESH.
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Aldebei, K, He, X, Jia, W & Yang, J 1970, 'Unsupervised Multi-Author Document Decomposition Based on Hidden Markov Model', Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics, Berlin, Germany, pp. 706-714.
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© 2016 Association tor Computational Linguistics. This paper proposes an unsupervised approach for segmenting a multiauthor document into authorial components. The key novelty is that we utilize the sequential patterns hidden among document elements when determining their authorships. For this purpose, we adopt Hidden Markov Model (HMM) and construct a sequential probabilistic model to capture the dependencies of sequential sentences and their authorships. An unsupervised learning method is developed to initialize the HMM parameters. Experimental results on benchmark datasets have demonstrated the significant benefit of our idea and our approach has outperformed the state-of-the-arts on all tests. As an example of its applications, the proposed approach is applied for attributing authorship of a document and has also shown promising results.

Al-Doghman, F, Chaczko, Z, Ajayan, AR & Klempous, R 1970, 'A review on Fog Computing technology', 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, Budapest, Hungary, pp. 1525-1530.
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© 2016 IEEE. Out of the many computing and software oriented models that are being adopted by Computer Networking, Fog Computing has captured quite a wide audience in Research and Industry. There is a lot of confusion on its precise definition, position, role and application. The Internet of Things (IOT), todays' digitized intelligent connectivity domain, demands real time response in many applications and services. This renders Fog Computing a suitable platform for achieving goals of autonomy and efficiency. This paper is a justification of the concepts, interest, approaches, and practices of Fog Computing. It describes the need for adopting this new model and investigate its prime features by elucidating the scenarios for implementing it, thereby outlining its significance in the IoT world.

Al-Fatlawi, AH, Jabardi, MH & Ling, SH 1970, 'Efficient diagnosis system for Parkinson's disease using deep belief network', 2016 IEEE Congress on Evolutionary Computation (CEC), 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE, Piscataway, USA, pp. 1324-1330.
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In this paper, a deep belief network (DBN) has been adopted as an efficient technique to diagnosis the Parkinson's disease (PD). This diagnosis has been established based on the speech signal of the patients. Through the distinguishing and analyzing of the speech signal, the DBN has the ability to diagnose Parkinson's disease. To realize the diagnosis of Parkinson's disease by using DBN, the proposed system has been trained and tested with voices from a number of patients and healthy people. A feature extraction process has been prepared to be inputted to the deep belief network (DBN) which is used to create a template matching of the voices. In this paper, DBN is used to classify the Parkinson's disease which composes two stacked Restricted Boltzmann Machines (RBMs) and one output layer. Two stages of learning need to be applied to optimize the networks' parameters. The first stage is unsupervised learning which uses RBMs to overcome the problem that can cause because of the random value of the initial weights. Secondly, backpropagation algorithm is used as a supervised learning for the fine tuning. To illustrate the effectiveness of the proposed system, the experimental results are compared with different approaches and related works. The overall testing accuracy of the proposed system is 94% which is better than all of the compared methods. In short, the DBN is an effective method to diagnosis Parkinson's disease by using the speech signal.

Ali, A & Lee, JE-Y 1970, 'Fully-differential AlN-on-Si wine glass mode resonator for enhanced characterization in water', 2016 IEEE SENSORS, 2016 IEEE SENSORS, IEEE.
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Ali, A & Lee, JE-Y 1970, 'On-chip Feedthrough Cancellation Technique for Enhanced Electrical Characterization of a Piezoelectric MEMS Resonator in Water', Procedia Engineering, Elsevier BV, pp. 1573-1576.
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Ali, A & Lee, JE-Y 1970, 'Square-extensional mode piezoelectric-on-silicon resonator for physical measurements of liquids', 2016 IEEE International Frequency Control Symposium (IFCS), 2016 IEEE International Frequency Control Symposium (IFCS), IEEE.
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Allahaim, F, Liu, L & Kong, X 1970, 'Developing a risk-based cost contingency estimation model based on the influence of cost overrun causes', Proceedings of the CIB World Building Congress 2016, CIB World Building Congress, Queensland University of Technology, Tampere, Finland, pp. 726-743.

Alqudah, H, Cao, K, Zhang, T, Haddad, A, Su, S, Celler, B & Nguyen, HT 1970, 'Cardiovascular fitness strengthening using portable device', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, USA, pp. 2692-2695.
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The paper describes a reliable and valid Portable Exercise Monitoring system developed using TI eZ430-Chronos watch, which can control the exercise intensity through audio stimulation in order to increase the Cardiovascular fitness strengthening.

Al-Soeidat, MR, Cembrano, A & Lu, DD-C 1970, 'Comparing effectiveness of hybrid mppt algorithms under partial shading conditions', 2016 IEEE International Conference on Power System Technology (POWERCON), 2016 IEEE International Conference on Power System Technology (POWERCON), IEEE, Wollongong, AUSTRALIA.
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© 2016 IEEE. For photovoltaic (PV) systems, a key area which can affect the amount of energy harvested is the effectiveness of the Maximum Power Point Tracking (MPPT) algorithm, which dynamically locates the operating point for maximum power output. Currently, there are many MPPT algorithms proposed and in use, however, they are not without problems. For example, algorithms such as the Fractional Open Circuit method are simple and effective, but their accuracy is poor. Other algorithms such as the Perturb & Observe (P&O) approach, although more accurate, will cause oscillations around the maximum power point. It is perceived that the use of two MPPT algorithms in tandem will help to overcome the drawbacks of individual MPPT algorithms used in isolation. This paper proposes two new versions of Hybrid MPPT algorithm; one being a combination of the Fractional Open Circuit Voltage and P&O methods, and the other a combination of the Power Increment and P&O techniques. Experimental results are reported to evaluate and compare the performance of the algorithms.

Alzughaibi, A & Chaczko, Z 1970, 'Human detection model using feature extraction method in video frames', 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), IEEE, Palmerston North, New Zealand, pp. 1-6.
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© 2016 IEEE.This paper presents a robust machine learning based computational solution for human detection. The proposed mechanism is specifically applicable for pose-variant situations in video frames. In order to address the pose variance problem, features are extracted using an improved variant of Histograms of Gradients (HoG) and local Binary Pattern features (LBP). The two feature sets are combined to form a feature vector based on different poses and human shapes, while a support vector machine (SVM)-based classifier is used for detection. Common issues faced by current approaches include false and missed detections in frames with robust feature-sets consisting of improved HoG features and LBP features with rotation information. The proposed detector model performs efficiently; the miss rates are reduced, the true positives are increased, and the accuracy is improved. Some false detections for human look alike objects are also observed. A diverse dataset depicting different poses is used for training purposes. A challenge test dataset is used to test the performance of the proposed approach against current state-of-the-art detectors to verify the performance. Receiver operating characteristic (ROC) curves are plotted to compare and evaluate the results based on miss rates and true positives, which demonstrate the proposed model achieves optimal results.

Amin, U, Hossain, MJ, Lu, J & Mahmud, MA 1970, 'Cost-benefit analysis for proactive consumers in a microgrid for transactive energy management systems', 2016 Australasian Universities Power Engineering Conference (AUPEC), 2016 Australasian Universities Power Engineering Conference (AUPEC), IEEE.
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Amin, U, Hossain, MJ, Lu, J & Mahmud, MA 1970, 'Cost-benefit analysis for proactive consumers in a microgrid for transactive energy management systems', Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016, Australasian Universities Power Engineering Conference (AUPEC), IEEE, Brisbane, AUSTRALIA.
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This paper proposes the installation of a battery energy storage (BES) system along with a PV system in a hierarchical transactive energy management (TEM) framework to reduce consumer's electricity bills. An algorithm is developed to control the charging and discharging cycle of the proposed battery in a TEM system. A new cost benefit analysis (CBA) approach is presented for solar energy systems and combination of photovoltaic (PV) units and BES systems when these are installed in a proactive houses. Economic benefit analysis is based on real time electricity rate and battery cost to give an exact idea of returns and yearly savings to consumers on their investment. Real load and generation data are used for the analysis and based on the developed algorithm the appropriate battery size is determined. When it is integrated with a 4kW PV unit, it reduces the power mismatch between the load demand and solar generation. The result shows that proactive consumers can maximize their savings considerably on solar investment by installing BES systems.

Ardashir, JF, Siwakoti, YP, Sabahi, M, Hosseini, SH & Blaabjerg, F 1970, 'S4 grid-connected single-phase transformerless inverter for PV application.', IECON, Annual Conference of the IEEE Industrial Electronics Society, IEEE, Florence, Italy, pp. 2384-2389.
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© 2016 IEEE.A novel transformerless inverter for grid-tied PV systems is introduces with low leakage current in this paper. Four power switches, two capacitors, two diodes, and a LC filter are uses in this topology. The negative polarity of the PV panel is connected to the neutral of the utility grid with common line. Therefore, a common-mode voltage is constant and leakage current is nearly zero. A unipolar Sinusoidal Pulse-Width modulation (SPWM) method is utilized to reduce the output current ripple and requirements of filter. The major merits of this topology are compact size, low cost, flexible grounding configuration and higher efficiency. The operating principle and analysis of the proposed inverter are presented in details. Finally, a universal prototype rated 500 W are tested to validate the proposed topology and the overall concept. The results obtained clearly confirm the performance and practical application of the proposed topology for grid-connected PV systems.

Argha, A, Li, L, Su, SW & Nguyen, H 1970, 'ℋ<inf>2</inf>-based optimal sparse sliding mode control for networked control systems', 2016 IEEE 55th Conference on Decision and Control (CDC), 2016 IEEE 55th Conference on Decision and Control (CDC), IEEE, Las Vegas, NV, pp. 6826-6831.
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This paper is devoted to the problem of designing a sparsely distributed sliding mode control for networked systems. Indeed, this note employs a distributed sliding mode control framework by exploiting (some of) other subsystems' information to improve the performance of each local controller so that it can widen the applicability region of the given scheme. To do so, different from the traditional schemes in the literature, a novel approach is proposed to design the sliding surface, in which the level of required control effort is taken into account during the sliding surface design based on the ℋ2 control. We then use this novel scheme to provide an innovative less-complex procedure that explores sparse control networks to satisfy the underlying control objective.

Argha, A, Su, SW & Savkin, A 1970, 'Optimal actuator/sensor selection through dynamic output feedback', 2016 IEEE 55th Conference on Decision and Control (CDC), 2016 IEEE 55th Conference on Decision and Control (CDC), IEEE, Las Vegas, USA, pp. 3624-3629.
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© 2016 IEEE.This paper is devoted to the problem of optimal selection of a subset of available actuators/sensors through a multi-channel H22 dynamic output feedback controller for continuous linear time invariant systems. Incorporating two extra terms for penalizing the number of actuators and sensors into the optimization objective function, we develop an iterative process to identify the favorable row/column-wise sparse DOF gains. Employing the identified structure, we solve the constructed row/column structured multi-channel H22 DOF problem in order to derive a gain that exploits optimum number of sensors/actuators by which the closed-loop stability is maintained and the performance degradation of the closed-loop system is restricted. Through an example we demonstrate the remarkable performance and broad applicability of the proposed approach.

Argha, A, Su, SW, Savkin, A & Celler, B 1970, '”<inf>2</inf>/H<inf>∞</inf> based sliding mode control: A partial eigenstructure assignment method', 2016 IEEE 55th Conference on Decision and Control (CDC), 2016 IEEE 55th Conference on Decision and Control (CDC), IEEE, Las Vegas, NV, pp. 5354-5359.
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This paper is devoted to the problem of designing a sliding surface for an underlying system, while ”2/H∞ performance specifications of the closed-loop system are under control. This scheme is different from a large number of the existing methods in the literature for the sliding surface design, in the sense that it will penalize the required level of control effort to maintain sliding. This novel scheme consists of two stages. First, exploiting a certain partial eigenstructure assignment method, a state feedback gain is selected that ensures precise locations for some of the closed-loop system poles while minimizing the H∞-norm (”2-norm) of a specific closed-loop transfer function and satisfying an ”2-norm (H∞-norm) constraint on the same or another closed-loop transfer function. Following this, the second stage derives the sliding surface and thereby the control law associated with the particular state feedback designed in the first stage by using one of an approach developed for this purpose. We present a numerical example to demonstrate the remarkable performance of the proposed scheme.

Argha, A, Ye, L, Su, SW, Nguyen, H & Celler, BG 1970, 'Heart rate regulation during cycle-ergometer exercise using damped parameter estimation method', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, Florida, United States, pp. 2676-2679.
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© 2016 IEEE.This paper is devoted to the problem of heart rate regulation using a model-based control strategy and a realtime damped parameter estimation scheme. The controller is a time-varying integral sliding mode controller. A recursive damped parameter estimation method is also developed, by incorporation of a weighting upon the one-step parameter variation, which in contrast to the conventional parameter estimation schemes (e.g. recursive least squares (RLS) method) can avoid the occurrence of the so-called blowup phenomena. The calculated control signals are transmitted to the subjects employing a synchronized biofeedback mechanism. The proposed control and estimation scheme were experimentally verified using twelve healthy male subjects and the results demonstrated that the designed scheme is able to regulate the HR of the exercising subjects to a predetermined HR profile preventing overshooting in the HR responses.

Asheralieva, A & Miyanaga, Y 1970, 'Multi-agent Q-learning for autonomous D2D communication', 2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), IEEE.
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Awwad, S & Piccardi, M 1970, 'Local depth patterns for fine-grained activity recognition in depth videos', 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), IEEE, Palmerston North, New Zealand, pp. 214-219.
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© 2016 IEEE.Fine-grained activities are human activities involving small objects and small movements. Automatic recognition of such activities can prove useful for many applications, including detailed diarization of meetings and training sessions, assistive human-computer interaction and robotics interfaces. Existing approaches to fine-grained activity recognition typically leverage the combined use of multiple sensors including cameras, RFID tags, gyroscopes and accelerometers borne by the monitored people and target objects. Although effective, the downside of these solutions is that they require minute instrumentation of the environment that is intrusive and hard to scale. To this end, this paper investigates fine-grained activity recognition in a kitchen setting by solely using a depth camera. The primary contribution of this work is an aggregated depth descriptor that effectively captures the shape of the objects and the actors. Experimental results over the challenging '50 Salads' dataset of kitchen activities show an accuracy comparable to that of a state-of-the-art approach based on multiple sensors, thereby validating a less intrusive and more practical way of monitoring fine-grained activities.

Azim, MI, Hossain, MA, Mohiuddin, SM, Hossain, MJ & Pota, HR 1970, 'Proportional reactive power sharing for islanded microgrids', 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), IEEE, Hefei, PEOPLES R CHINA, pp. 1139-1144.
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Bah, AO, Pei-Yuan Qin & Guo, YJ 1970, 'An extremely wideband tapered balun for application in tightly coupled arrays', 2016 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC), 2016 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC, IEEE, Cairns, Australia, pp. 162-165.
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© 2016 IEEE. This paper presents the design of a single layer, compact, tapered balun with a >20:1 bandwidth and less than λ/17 in length at the lowest frequency of operation. The balun operates from 0.7GHz to over 15GHz. It can provide both impedance transformation as well as a balanced feed for tightly coupled arrays. Its performance is compared with that of a full-length balun operating over the same frequency band. There is a high degree of agreement between the two baluns.

Baidya, R, Aguilera, RP, Acuna, P, Delgado, R, Geyer, T, Quevedo, D & Mouton, T 1970, 'Fast multistep finite control set model predictive control for transient operation of power converters', IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IEEE, Florence, Italy, pp. 5039-5045.
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© 2016 IEEE.Recently, an efficient optimization strategy based on the sphere decoding algorithm (SDA) has been proposed to solve the optimal control problem underlying direct model predictive control (MPC) formulations with long horizons. However, as will be elucidated in this work, this optimization algorithm presents some limitations during transient operation of power converters, which increase the execution time required to obtain the optimal solution. To overcome this issue, the present work presents an improved version of the SDA for direct MPC that is not affected by transient operations of the power converter. The key novelty of the proposal is to reduce the execution time of the SDA when the system is in a transient by projecting the unconstrained optimal solution onto the envelope of the original finite control set. As evidenced by the simulation results, the proposed SDA is able to quickly compute the optimal solution for the long-horizon direct MPC during both steady-state and transient operation of the power converter.

Bautista, MG, Dutkiewicz, E, Huang, X, Nguyen, D & Zhu, F 1970, 'Quadrature broadband phase shift generation using passive RC polyphase filter for RF front-end', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Qingdao, China, pp. 597-601.
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© 2016 IEEE. This paper reviews the state of the art of a polyphase complex filter for RF front-end low-IF transceivers applications. We then propose a multi-stage polyphase filter design to generate a quadrature I/Q signal to achieve a wideband precision quadrature phase shift with a constant 90 ° phase difference for self-interference cancellation circuit for full duplex radio. The number of the stages determines the bandwidth requirement of the channel. An increase of 87% in bandwidth is attained when our design is implemented in multi-stage from 2 to an extended 6 stages. A 4-stage polyphase filter achieves 2.3 GHz bandwidth.

Bengua, JA, Tuan, HD, Phien, HN & Do, MN 1970, 'Concatenated image completion via tensor augmentation and completion', 2016, 10th International Conference on Signal Processing and Communication Systems, ICSPCS 2016 - Proceedings.
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This paper proposes a novel framework called concatenated image completionvia tensor augmentation and completion (ICTAC), which recovers missing entriesof color images with high accuracy. Typical images are second- or third-ordertensors (2D/3D) depending if they are grayscale or color, hence tensorcompletion algorithms are ideal for their recovery. The proposed frameworkperforms image completion by concatenating copies of a single image that hasmissing entries into a third-order tensor, applying a dimensionalityaugmentation technique to the tensor, utilizing a tensor completion algorithmfor recovering its missing entries, and finally extracting the recovered imagefrom the tensor. The solution relies on two key components that have beenrecently proposed to take advantage of the tensor train (TT) rank: A tensoraugmentation tool called ket augmentation (KA) that represents a low-ordertensor by a higher-order tensor, and the algorithm tensor completion byparallel matrix factorization via tensor train (TMac-TT), which has beendemonstrated to outperform state-of-the-art tensor completion algorithms.Simulation results for color image recovery show the clear advantage of ourframework against current state-of-the-art tensor completion algorithms.

Bengua, JA, Tuan, HD, Phien, HN, Kha, HH & IEEE 1970, 'Two-hop Power-Relaying for Linear Wireless Sensor Networks', 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE), International Conference on Communications and Electronics (HUT-ICCE), IEEE, Ha Long, Vietnam, pp. 111-115.
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This paper presents two-hop relay gain-scheduling control in a Wireless Sensor Network to estimate a static target prior characterized by Gaussian probability distribution. The target is observed by a network of linear sensors, whose observations are transmitted to a fusion center for carrying out final estimation via a amplify-and-forward relay node. We are concerned with the joint transmission power allocation for sensors and relay to optimize the minimum mean square error (MMSE) estimator, which is deployed at the fusion center. Particularly, such highly nonlinear optimization problems are solved by an iterative procedure of very low computational complexity. Simulations are provided to support the efficiency of our proposed power allocation.

Braun, R, Brookes, W, Chaczko, Z & Hadgraft, R 1970, 'Position paper: BE(Hons) data engineering', 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), IEEE, IEEE, pp. 1-6.
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© 2016 IEEE. This paper describes the UTS view of Data Engineering, and the degree program that has been created to educate Data Engineers. The document describes the guiding philosophies and the key ideas used in designing the program. The design of the program takes advantage of the 3rd, 4th and 5th shifts in engineering education[1]. Namely the shift to emphasizing design (problem solving) (3), the shift to applying education, learning, and socialbehavioral sciences research, and the shift to integrating information, computational, and communications technology in education. Mills and Treagast[2] question the relative value of Problem Based or Project Based learning in the Australian context. They quote a comparison of problem-based and project-based learning at tertiary level by Perrenet et al[3]. They noted that the similarities between the two strategies are that they are both based on self-direction and collaboration, and that they both have a multidisciplinary orientation. The differences that they noted included: • Project tasks are closer to professional reality • Project work is more directed to the application of knowledge • Project-based learning is usually accompanied by subject courses (eg maths, physics etc. in engineering), whereas problem-based learning is not. • Management of time and resources by the students as well as task and role differentiation is very important in project-based learning • Self-direction is stronger in project work, compared with problem-based learning.

Bui, HM, Lech, M, Cheng, E, Neville, K, Burnett, IS & IEEE 1970, 'Using Grayscale Images for Object Recognition with Convolutional-Recursive Neural Network', 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE), International Conference on Communications and Electronics (HUT-ICCE), IEEE, Vietnam, pp. 321-325.
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Butt, S, Gay, VC & Shorab, M 1970, 'Use of Multivariate Function to Identify Chronic Diabetic Patients of Type1 from Health Database in Australia', HISA, HIC, Melbourne.

Candra, H, Yuwono, M, Chai, R, Nguyen, HT & Su, S 1970, 'Classification of facial-emotion expression in the application of psychotherapy using Viola-Jones and Edge-Histogram of Oriented Gradient', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, United States, pp. 423-426.
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Psychotherapy requires appropriate recognition of patient's facial-emotion expression to provide proper treatment in psychotherapy session. To address the needs this paper proposed a facial emotion recognition system using Combination of Viola-Jones detector together with a feature descriptor we term Edge-Histogram of Oriented Gradients (E-HOG). The performance of the proposed method is compared with various feature sources including the face, the eyes, the mouth, as well as both the eyes and the mouth. Seven classes of basic emotions have been successfully identified with 96.4% accuracy using Multi-class Support Vector Machine (SVM). The proposed descriptor E-HOG is much leaner to compute compared to traditional HOG as shown by a significant improvement in processing time as high as 1833.33% (p-value = 2.43E-17) with a slight reduction in accuracy of only 1.17% (p-value = 0.0016).

Cao, K, Ye, L, Alqudah, HM, Szymanski, J, Zhou, J & Su, SW 1970, 'Dynamical Estimation of Key Cardiac-respiratory Variables by using Commercialized Wearable Sensors', Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, ACTAPRESS, Zurich, Switzerland, pp. 1-4.
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This paper investigates the estimation of key cardiacrespiratory variables (e.g.,V O2) by using commercialised wearable sensors such as SensorTag and iPhone. The main aim of this study is to use inexpensive and user-friendly wearable sensors rather than expensive and cumbersome equipment (e.g., metabolic analyser). This study also aims to explore the possibility of using only embedded sensors of smart-phone to dynamically estimate oxygen consumption during moderate exercises. The major focus of this research is the modelling of the linear dynamic component. In order to capture the variance of linear dynamic characteristics (e.g., the time constant and steady state gain), we proposed a least square estimation algorithm equipped with automated equilibrium detection function. Finally, the effectiveness of the proposed approaches has been well demonstrated by experimental results.

Carrion Gordon, L & Chaczko, Z 1970, 'Towards Digital Heritage Preservation Framework for Situation and Context Aware for Information Management', eissn: 2010-3778, ICCS 2016: International Conference on Computational Science, Barcelona.

Chaczko, Z, Klempous, R, Nikodem, J & Rozenblit, J 1970, 'Assessment of education process management', 2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI), 2016 IEEE 14th International Symposium on Applied Machine Intelligence and Informatics (SAMI), IEEE, Herlany, Slovakia, pp. 263-267.
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© 2016 IEEE. One of the most important segments of the university education process management seems to be the student knowledge verification as well as support of the monitoring and assessment of the quality of educational programs and related processes. The organization of the examination tests, as well as, the process and methods of student knowledge verification can take a lot of time. This paper elaborates on various aspects of key checking areas related to basis data, information, and knowledge and wisdom skills. Additionally, authors present their experiences with using three different technological solutions taking into an account important human dimensions of the computer based test systems.

Chai, R, Naik, GR, Nguyen, TN, Ling, SH, Tran, Y & Nguyen, HT 1970, 'Selecting optimal EEG channels for mental tasks classification: An approach using ICA', 2016 IEEE Congress on Evolutionary Computation (CEC), 2016 IEEE Congress on Evolutionary Computation (CEC), IEEE, Vancouver, Canada, pp. 1331-1335.
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© 2016 IEEE. This paper presents a systematic method to select optimal electroencephalography (EEG) channels for three mental tasks-based brain-computer interface (BCI) classification. A blind source separation (BSS) technique based on independent component analysis (ICA) with its back-projecting of the scalp map was used for selecting the optimal EEG channels. The three mental tasks included: mental letter composing, mental arithmetic and mental Rubik's cube rolling. Based on a power spectral density (PSD), the features of the two-channel EEG data were extracted, and then were classified by Bayesian neural network. The results of the ICA decomposition with the back-projected scalp map showed that the prominent channels could be selected for dominant features from original six EEG channels (C3, C4, P3, P4, O1, O2) to four dominant channels (P3, O1, C4, O2) with the best two EEG channels selection at O1&C4. Two channel combinations classification yielded to the best two EEG channels of O1&C4 with an accuracy of 76.4%, followed by P3&O2 with an accuracy of 74.5%; P3&C4 with an accuracy of 71.9% and O1&O2 with an accuracy of 70%.

Chai, R, Tran, Y, Naik, GR, Nguyen, TN, Ling, SH, Craig, A & Nguyen, HT 1970, 'Classification of EEG based-mental fatigue using principal component analysis and Bayesian neural network', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, pp. 4654-4657.
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© 2016 IEEE. This paper presents an electroencephalography (EEG) based-classification of between pre- and post-mental load tasks for mental fatigue detection from 65 healthy participants. During the data collection, eye closed and eye open tasks were collected before and after conducting the mental load tasks. For the computational intelligence, the system uses the combination of principal component analysis (PCA) as the dimension reduction method of the original 26 channels of EEG data, power spectral density (PSD) as feature extractor and Bayesian neural network (BNN) as classifier. After applying the PCA, the dimension of the data is reduced from 26 EEG channels in 6 principal components (PCs) with above 90% of information retained. Based on this reduced dimension of 6 PCs of data, during eyes open, the classification pre-task (alert) vs. post-task (fatigue) using Bayesian neural network resulted in sensitivity of 76.8 %, specificity of 75.1% and accuracy of 76% Also based on data from the 6 PCs, during eye closed, the classification between pre- and post-task resulted in a sensitivity of 76.1%, specificity of 74.5% and accuracy of 75.3%. Further, the classification results of using only 6 PCs data are comparable to the result using the original 26 EEG channels. This finding will help in reducing the computational complexity of data analysis based on 26 channels of EEG for mental fatigue detection.

Chalapathy, R, Zare Borzeshi, E & Piccardi, M 1970, 'An Investigation of Recurrent Neural Architectures for Drug Name Recognition', Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis, Proceedings of the Seventh International Workshop on Health Text Mining and Information Analysis, Association for Computational Linguistics, Austin, Texas, USA.
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Chalapathy, R, Zare Borzeshi, E & Piccardi, M 1970, 'Bidirectional LSTM-CRF for Clinical Concept Extraction', Proceedings for the Clinical NLP workshop - Bidirectional LSTM-CRF for Clinical Concept Extraction, Clinical Natural Language Programming Workshop, ClinicalNLP, Osaka, Japan.

Chau Nguyen, TM, Hoang, DB & Chaczko, Z 1970, 'Can SDN Technology Be Transported to Software-Defined WSN/IoT?', 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2016 IEEE International Conference on Internet of Things (iThings), IEEE Green Computing and Communications (GreenCom), IEEE Cyber-, Physical and Social Computing (CPSCom), and IEEE Smart Data (SmartData), IEEE, Chengdu, China, pp. 234-239.
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© 2016 IEEE. Wireless sensor networks (WSNs) are essential elements of the Internet of Things ecosystem, as such, they encounter numerous IoT challenging architectural, management and application issues. These include inflexible control, manual configuration and management of sensor nodes, difficulty in an orchestration of resources, and virtualizing sensor network resources for on-demand applications and services. Addressing these issues presents a real challenge for WSNs and IoTs. By separating the network control plane from the data forwarding plane, Software-defined networking (SDN) has emerged as network technology that addresses similar problems of current switched-networks. Despite the differences between switched network and wireless sensor network domains, the SDN technology has a real potential to revolutionize WSNs/IoTs and address their challenging issues. However, very little has been attempted to bring the SDN paradigm to WSNs. This paper identifies weaknesses of existing research efforts that aims to bring the benefits of SDN to WSNs by mapping the control plane, the OpenFlow protocol, and the functionality between the two network domains. In particular, the paper investigates the difficulties and challenges in the development of software-defined wireless sensor networking (SDWSN). Finally, the paper proposes VSensor, SDIoT controller, SFlow components with specific and relevant functionality for an architecture of an SDWSN or SDIoT infrastructure.

Chen, X, Guo, YJ, Qin, PY & Fu, G 1970, 'Low-cost 3D printed compact circularly polarized antenna with high efficiency and wide beamwidth', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, Queensland, Australia, pp. 497-500.
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© 2016 IEEE. A novel compact circularly polarized (CP) microstrip antenna is presented. The antenna introduces a circular radiation patch with a crossed slot to improve the impedance matching and reduce the antenna sizes. Meanwhile, triangular feed patches are adopted to increase the bandwidth. A no-resistor series feed line is used for achieving a high antenna efficiency. Based on the above method, the antenna is constructed by three low-cost PCBs which form a solid and light structure. The profile and the diameter of the antenna are just 0.064λ0 and 0.28λ0 respectively (λ0 is the wavelength in free space). The impedance bandwidth for VSWR≤2 is 20.8%, and the AR bandwidth for AR≤3dB is 8.3%. In the overlap band, the radiation efficiency can reaches more than 95%, and the gains are over 5.2dBic. Especially, the beamwidth for AR≤3dB can cover more than 128°.

Cheng, L, Acuna, P, Aguilera, RP, Ciobotaru, M & Jiang, J 1970, 'Model predictive control for DC-DC boost converters with constant switching frequency', 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC), 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC), IEEE, Auckland, New Zealand, pp. 1-6.
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© 2016 IEEE. Boost converters are widely used in several applications such as solar PV systems, energy storage systems, etc. In order to improve its dynamic performance, several model predictive control (MPC) strategies have been proposed to govern this DC-DC converter. However, in general, they require long prediction horizons to achieve a stable closed-loop due to its well-known non-minimum phase behavior. A simple but effective MPC strategy for DC-DC boost converters is proposed in this work. The advantage of this proposal is that it requires only one-step prediction horizon to govern the converter. Moreover, the proposed controller belongs to the continuous control set MPC (CCS-MPC) family, which provides a constant switching frequency.

Cho, N-H, Wu, Q, Xu, J & Zhang, J 1970, 'Content Authoring Using Single Image in Urban Environments for Augmented Reality', 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, Gold Coast, Australia, pp. 1-7.
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© 2016 IEEE. Content authoring is one of essentials of Augmented Reality (AR), which is to emplace an augmented content on a true part of a real scene in order to enhance users' visual experience. For the case of street view single 2D images, the challenge emerges because of clutter environments and unknown position and orientation related to camera pose. Although existing methods based on 2D feature point matching or vanishing point registration may recover the camera pose, the robustness is always challenging because of the uncertainty of feature point detection on texture-less region and displacement of vanishing point detection caused by irregular lines detected on the scene. By taking the advantages of characteristics of the man-made object (e.g. building) widely seen on the street view, this paper proposes a simple yet efficient content authoring approach. In this approach, the building dominant plane where the virtual object will be emplaced is detected and then projected to the frontal-parallel view on which the virtual object can be reliably emplaced. Once the virtual object and the true scene are embedded to each other on the frontal-parallel view, they are able to be converted back to the original view using inverse projection without any distortion. Experiments on public databases show that the proposed method can recover camera pose and implement content emplacement with promising performance.

Dah-Chuan Lu, D, Wu, M & Cheng, T 1970, 'Using cross regulation in single-switch single-inductor dual-output CCM boost converter to simplify controller design', 2016 IEEE International Conference on Industrial Technology (ICIT), 2016 IEEE International Conference on Industrial Technology (ICIT), IEEE, Taiwan, pp. 390-395.
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© 2016 IEEE.Cross regulation of single-inductor multiple-output (SIMO) boost dc/dc converter is usually considered as a key factor that degrades the voltage regulation of individual outputs. Analysis of the cross coupling of a single-switch single-input dual-output (SIDO) boost converter operating in continuous conduction mode (CCM) reveals that it is an automatic current feedback mechanism during converter operation, which, however, can improve steady-state voltage regulation of both outputs. It is possible to use this natural cause to simplify the PWM controller design. That is, only one output needs to be sensed and regulated. The other output will be regulated accordingly. The drawback is the transient response of one output will share by another output Low-frequency model of a SIDO boost converter is derived and analyzed to reveal such phenomenon. A single Type-in PWM controller is designed for one of the outputs but is able obtain both regulated outputs. The analysis and design are verified by both simulation and experimental results.

Dang, DNM, Ngo, QT, Dang, HN & Hong, CS 1970, 'A Multi-channel MAC Protocol with Power Control for Wireless Ad Hoc Networks', Springer International Publishing, pp. 63-73.
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Dang, TD & Hoang, D 1970, 'Data Mobility as a Service', 2016 IEEE 36th International Conference on Distributed Computing Systems Workshops (ICDCSW), 2016 IEEE 36th International Conference on Distributed Computing Systems Workshops (ICDCSW), IEEE, Nara, Japan, pp. 67-71.
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Cloud computing and cloud services provide an alternative IT infrastructure and service models for users. The users use cloud to store their data, delegate the management of the data, and deploy their services cost-effectively. This usage model, however, raised a number of concerns relating to data control, data protection and data mobility: 1) users may lose control of their resource; 2) data protection schemes are not adequate when data is moved to a new cloud; 3) tracking and tracing changes of data location as well as accountability of data operations are not well supported. To address these issues, this paper proposes a novel cloud service for data mobility from two aspects: data mobility and data protection. A data mobility service is designed and implemented to manage data mobility and data traceability. A Location Register Database (LRD) is also developed to support the service. Furthermore, data is protected by a data security service CPRBAC (Cloud-based Privacy-aware Role Based Access Control) and an Auditing service that are capable of verifying data operations and triggering alarms on data violations in the Cloud environment.

Dang, TD, Hoang, D & Nanda, P 1970, 'A novel hash-based file clustering scheme for efficient distributing, storing, and retrieving of large scale health records', Proceedings - 15th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE TrustCom/BigDataSE/ISPA 2016, International Conference on Trust, Security and Privacy in Computing and Communications, 10th IEEE International Conference on Big Data Science and Engineering and 14th IEEE International Symposium on Parallel and Distributed Processing with Applications, IEEE, Tianjin, China, pp. 1485-1491.
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Cloud computing has been adopted as an efficient computing infrastructure model for provisioning resources and providing services to users. Several distributed resource models such as Hadoop and parallel databases have been deployed in healthcare-related services to manage electronic health records (EHR). However, these models are inefficient for managing a large number of small files and hence they are not widely deployed in Healthcare Information Systems. This paper proposed a novel Hash-Based File Clustering Scheme (HBFC) to distribute, store and retrieve EHR efficiently in cloud environments. The HBFC possesses two distinctive features: it utilizes hashing to distribute files into clusters in a control way and it utilizes P2P structures for data management. HBFC scheme is demonstrated to be effective in handling big health data that comprises of a large number of small files in various formats. It allows users to retrieve and access data records efficiently. The initial implementation results demonstrate that the proposed scheme outperforms original P2P system in term of data lookup latency.

Ding, C, Sun, H, Guo, YJ, Qin, P & Yang, Y 1970, 'Beamwidth control of base station antennas employing reflectors and directors', 2015 International Symposium on Antennas and Propagation, ISAP 2015, International Symposium on Antennas and Propagation, IEEE, Hobart, Tasmania, Australia, pp. 1-3.
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The effects of reflectors and directors on the radiation pattern of a base station antenna are studied. A ±45° linear-polarized cross-dipole with an operating band from 1.7 GHz to 2.7 GHz is designed as an example. The antenna is then encircled by a conducting wall constructed using vertical reflectors to control its horizontal half-power beam-width (HPBW). Subsequently, cross-directors are placed above the antenna, which provides another solution to control the HPBW. A parametric study is conducted, and the findings can serve as design guidelines for the design of wide band base station antennas.

Dinh, TH, Ha, QP & La, HM 1970, 'Computer vision-based method for concrete crack detection', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE, Phuket, Thailand, pp. 1-6.
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© 2016 IEEE. This paper presents a computer vision-based method to automatically detect concrete cracks. We focus on images containing the concrete: background and crack, where the background is the major mode of the gray-scale histogram. Therefore, we address the detection problem of potential concrete cracks by dealing with histogram thresholding to extract regions of interests from the background. We first employ line emphasis and moving average filters to remove noise from concrete surface images obtained from an inspection robot. The developed algorithm is then applied for automatic detection of significant peaks from the gray-scale histogram of the smoothed image. The biggest peak and its corresponding valley(s) are consequently identified to calculate the threshold value for image binarization. The effectiveness of our proposed method was successfully evaluated on various test images, where cracks could be identified without the requirement of some heuristic reasoning.

Duan, N, Xu, W, Wang, S & Zhu, J 1970, 'Current distribution calculation of superconducting layer in HTS cable considering magnetic hysteresis by using XFEM', 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), IEEE, Miami, FL, USA, pp. 1-1.
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© 2016 IEEE. This paper presents a coupled field-circuit analysis method for the high temperature superconducting (HTS) cable considering magnetic hysteresis by using the improved extended finite element method (XFEM). The quasi-3D cylindrical coordinate HTS cable model is firstly proposed based on the shell element theory. The quasi-3D meshing elements are used instead of the traditional 3D meshing elements to overcome the difficulties in meshing. A new Preisach type hysteresis model of HTS tapes is firstly combined with the improved XFEM to determine the magnetic hysteresis inductance. The numerical simulation results of this field-circuit coupled method are reported compared with the experimental test results for the case of an HTS cable with 2 layers.

Elbadawi, C, Tran, TT, Shimoni, O, Totonjian, D, Lobo, CJ, Grosso, G, Moon, H, Englund, DR, Ford, MJ, Aharonovich, I & Toth, M 1970, 'Ultra-bright emission from hexagonal boron nitride defects as a new platform for bio-imaging and bio-labelling', SPIE Proceedings, SPIE BioPhotonics Australasia, SPIE, Adelaide, AUSTRALIA.
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© 2016 SPIE. Bio-imaging requires robust ultra-bright probes without causing any toxicity to the cellular environment, maintain their stability and are chemically inert. In this work we present hexagonal boron nitride (hBN) nanoflakes which exhibit narrowband ultra-bright single photon emitters1. The emitters are optically stable at room temperature and under ambient environment. hBN has also been noted to be noncytotoxic and seen significant advances in functionalization with biomolecules2,3. We further demonstrate two methods of engineering this new range of extremely robust multicolour emitters across the visible and near infrared spectral ranges for large scale sensing and biolabeling applications.

Every, J, Li, L, Guo, YG & Dorrell, DG 1970, 'Maximizing investment value of small-scale PV in a smart grid environment', 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA), IEEE, Birmingham, UK, pp. 385-390.
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© 2016 IEEE. Determining the optimal size and orientation of small-scale residential based PV arrays will become increasingly complex in the future smart grid environment with the introduction of smart meters and dynamic tariffs. However consumers can leverage the availability of smart meter data to conduct a more detailed exploration of PV investment options for their particular circumstances. In this paper, an optimization method for PV orientation and sizing is proposed whereby maximizing the PV investment value is set as the defining objective. Solar insolation and PV array models are described to form the basis of the PV array optimization strategy. A constrained particle swarm optimization algorithm is selected due to its strong performance in non-linear applications. The optimization algorithm is applied to real-world metered data to quantify the possible investment value of a PV installation under different energy retailers and tariff structures. The arrangement with the highest value is determined to enable prospective small-scale PV investors to select the most cost-effective system.

Fan, X, Xu, RYD & Cao, L 1970, 'Copula mixed-membership stochastic block model', IJCAI International Joint Conference on Artificial Intelligence, International Joint Conference on Artificial Intelligence, AAAI Press / International Joint Conferences on Artificial Intelligence, New York City, New York, United States, pp. 1462-1468.
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The Mixed-Membership Stochastic Blockmodels (MMSB) is a popular framework for modelling social relationships by fully exploiting each individual node's participation (or membership) in a social network. Despite its powerful representations, MMSB assumes that the membership indicators of each pair of nodes (i.e., people) are distributed independently. However, such an assumption often does not hold in real-life social networks, in which certain known groups of people may correlate with each other in terms of factors such as their membership categories. To expand MMSB's ability to model such dependent relationships, a new framework - a Copula Mixed-Membership Stochastic Blockmodel - is introduced in this paper for modeling intra-group correlations, namely an individual Copula function jointly models the membership pairs of those nodes within the group of interest. This framework enables various Copula functions to be used on demand, while maintaining the membership indicator's marginal distribution needed for modelling membership indicators with other nodes outside of the group of interest. Sampling algorithms for both the finite and infinite number of groups are also detailed. Our experimental results show its superior performance in capturing group interactions when compared with the baseline models on both synthetic and real world datasets.

Fazzion, E, Cunha, Í, Guedes, D, Meira, W, Teixeira, R, Veitch, D & Diot, C 1970, 'Efficient Remapping of Internet Routing Events', Proceedings of the 2016 ACM SIGCOMM Conference, SIGCOMM '16: ACM SIGCOMM 2016 Conference, ACM, Florianopolis, Brazil, pp. 565-566.
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© 2016 Copyright held by the owner/author(s).Routing events impact multiple paths in the Internet, but current active topology mapping techniques monitor paths independently. Detecting a routing event on one Internet path does not trigger any measurements on other possibly-impacted paths. This approach leads to outdated and inconsistent routing information. We characterize routing events in the Internet and investigate probing strategies to efficiently identify paths impacted by a routing event. Our results indicate that targeted probing can help us quickly remap routing events and maintain more up-to-date and consistent topology maps.

Fernando, WA & Lu, DD-C 1970, 'Feasibility study of existing 50/60Hz electrical appliances for HFAC power distribution systems', 2016 IEEE International Telecommunications Energy Conference (INTELEC), 2016 IEEE International Telecommunications Energy Conference (INTELEC), IEEE, Austin, Texas, USA.
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This paper investigates into the key parameters (e.g. voltage, frequency, waveform, etc.) of HFAC Power Distribution Systems (PDS) ranging from smaller 0.5 kW laptop/desktop computer upto 1.0 MW domestic/commercial/industrial power distribution applications. Due to the high reactance and associated issues observed with increased frequency, different HFAC PDSs have been designed to operate with different frequencies. Advantages of using HFAC over utility AC (50/60Hz) or DC in PDSs predominantly connected with electronic converters has been presented in many publications. Although most electrical appliances are intended to operate mainly with utility AC, it would facilitate widespread uptake of HFAC in PDSs if they could operate also at HFAC. The possibility of cross-matching and using a wide variety of electrical appliances on HFAC PDSs has been investigated and the findings are presented in this paper. Use of AC-AC power converters as interfacing devices for the appliances that do not perform well with HFAC has also been proposed.

Ferro, V, Sonnberger, A, Abdosamadi, MK, McDonald, C, Schäffer, E & McGloin, D 1970, 'Improved antireflection coated microspheres for biological applications of optical tweezers', SPIE Proceedings, SPIE Nanoscience + Engineering, SPIE, San Diego, CA.
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Forouzesh, M, Siwakoti, YP, Blaabjerg, F & Hasanpour, S 1970, 'AC small signal modeling of PWM Y-source converter by circuit averaging and averaged switch modeling technique', 2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe), 2016 18th European Conference on Power Electronics and Applications (EPE'16 ECCE Europe), IEEE, GERMANY.
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Forouzesh, M, Siwakoti, YP, Gorji, SA, Blaabjerg, F & Lehman, B 1970, 'A survey on voltage boosting techniques for step-up DC-DC converters', 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE, Milwaukee, WI, USA, pp. 1-8.
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© 2016 IEEE. Step-up DC-DC converters are used to boost the voltage level of the input to a higher output level. Despite of its features such as simplicity of implementation, the fundamental boost DC-DC converter has shortcomings such as low boost ability and low power density. With these limitations, researches on new voltage boosting techniques are inevitable for various power converter applications. This can be achieved either by additional magnetic or by electric field storage elements with switching elements (switch and/or diode) in different configurations. Such combination of primary voltage boosting techniques and topologies are large, which at times may be confusing and difficult to follow/adapt for different applications. Considering these aspects and in order to make a clear sketch of the general law and framework of various voltage boosting techniques, this paper comprehensively reviews different voltage boosting techniques and categorizes them according to their circuit performance.

Gadalla, B, Schaltz, E, Siwakoti, Y & Blaabjerg, F 1970, 'Thermal performance and efficiency investigation of conventional boost, Z-source and Y-source converters', 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), 2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC), IEEE.
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© 2016 IEEE. Boost converters are needed in many applications that require the output voltage to be higher than the input voltage. Recently, boost type converters have been attracted by the industrial applications, and hence it has become an extremely hot topic of research. Recently, many researchers proposed the impedance source converters with their unique advantages as having a high voltage gain in a small range of duty cycle ratio. However, the thermal behaviour of the semiconductor devices and passive elements in the impedance source converter is an important issue from a reliability point of view and has not been investigated yet. Therefore this paper presents a comparison between the conventional boost, the Z-source, and the Y-source converters based on the thermal evaluation of semiconductors. In addition, the three topologies are also compared with respect to their efficiency. The operational principle, mathematical derivations, simulation results and finally conclusion comparisons are presented in this paper.

Gay, V, Leijdekkers, P & Pooley, A 1970, 'Building Social Awareness for Teens and Young Adults with Autism via Gamification', SERIOUS GAMES, JCSG 2016, Joint International Conference on Serious Games (JCSG), Springer International Publishing, Brisbane, QLD, Australia, pp. 116-127.
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Teens and young adults are in one of the most challenging phases of their life in terms of discovering new and complex emotions and situations. This is particularly the case for a demographic diagnosed with conditions commonly referred to as Autistic Spectrum Disorders, which is inclusive of Asperger’s Syndrome. Through a video game medium, it is possible to place the players in virtual situations that explore these the intricacies of social interaction and relationships. This could be powerful for communicating such concepts: players can be explained to, practice and given feedback in a comfortable, non-threatening, and perhaps even familiar environment. Our objective is to build such a game by modifying an already popular video game. Through modification, a game’s already existing mechanisms and resources may be repurposed for serious functions. In the case of our team, this is to allow the player to have conversations that dynamically change depending on their input. Characters in the game can be manipulated to communicate verbally and non-verbally, delivering emotive lines recorded by voice actors whilst projecting certain facial expressions and body language. We created a tangible video game learning resource that can be trialed to investigate its value to build social awareness.

Ghosh, S & Lee, JEY 1970, 'Lorentz Force Magnetic Sensor based on a Thin-Film Piezoelectric-on-Silicon Laterally Vibrating Micromechanical Resonator', Procedia Engineering, Elsevier BV, pp. 654-657.
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Golsorkhi, MS, Lu, DDC, Savaghebi, M, Vasquez, JC & Guerrero, JM 1970, 'A GPS-based control method for load sharing and power quality improvement in microgrids', 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC 2016 - ECCE Asia), IEEE, Hefei, China, pp. 3734-3740.
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© 2016 IEEE.This paper proposes a novel control method for accurate sharing of load current among the Distributed Energy Resources (DER) and high power quality operating in islanded ac microgrids. This control scheme is based on hierarchical structure comprising of decentralized primary controllers and a centralized secondary controller. The controllers in the primary level use GPS timing technology to synchronize their local time with a common time reference. In this context, proportional current sharing is achieved by adjusting the reference voltage of each DER unit according to a voltage-current (V-I) droop characteristic. The droop coefficient, which acts as a virtual resistance, is adaptively changed as a function of peak current. This strategy not only simplifies the control design but also enables faster dynamics and higher accuracy of current sharing especially at high loading conditions. The secondary controller produces compensation signals at fundamental and dominant harmonics to improve the voltage quality at a sensitive load bus. Experimental results are presented to validate the efficacy of the proposed method.

Golsorkhi, MS, Lu, DDC, Shafiee, Q & Guerrero, JM 1970, 'Distributed voltage control and load sharing for inverter-interfaced microdrid with resistive lines', 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE.
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© 2016 IEEE. This paper proposes a new distributed control method for coordination of distributed energy resources (DERs) in low-voltage resistive microgrids. The proposed framework consists of two level structure; primary and secondary control. Unlike the existing distributed control methods, the proposed method is based upon the practical assumption of resistive network impedance. In this context, a V-I droop mechanism is adopted in the primary control level, where GPS timing is used to synchronize the control agents. A new distributed secondary control method based on consensus protocol is introduced to improve the voltage regulation and load sharing accuracy of the V-I droop method. In this method, the d-axis components of the voltage is altered so as to regulate the average microgrid voltage to the rated value while guarantying proper sharing of active power among the DERs. Additionally, the q-axis component of voltage is adjusted to perform proper current and, accordingly reactive power sharing. The proposed control methodology accounts for the distribution line impedances. It features a plug-and-play environment; prior system knowledge is not required, and an arbitrary DER can enter the microgrid without any need for additional synchronization mechanisms. An AC microgrid is prototyped to experimentally demonstrate the efficacy of the proposed method.

Guan, D-F, Ding, C, Sun, H & Yuan, F 1970, 'Wide-band SIW cavity-backed circular polarized array antennas with sequential rotation technique', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, pp. 466-468.
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© 2016 IEEE. A circularly-polarized (CP) array antenna based on the substrate integrated waveguide (SIW) technology is proposed. The 2×2 linearly polarized SIW sub-arrays with 90° sequential rotation are employed as the radiating elements on the top layer. The sequential rotation technique is introduced to design SIW corporate-feed network on the bottom layer to realize wideband circular polarized characteristic. The network and the radiating elements of the array are both designed on close SIW structure with low cost printed circuit board (PCB) technology. The simulated results show that, the proposed 4×4 array has a large axial ratio (AR) bandwidth of 14% from 18.3 GHz to 21.1 GHz with a gain above 13 dBi.

Guo, B, Huang, Y, Guo, Y & Zhu, J 1970, 'Analytical modeling of manufacturing imperfections in double rotor axial flux PM machines: Effects on back EMF', 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), IEEE, Miami, FL, USA, pp. 1-1.
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© 2016 IEEE. In this paper, a general analytical model is proposed to investigate various eccentricities in double rotor axial flux permanent magnet (DRAFPM) machine, the back electromotive forces (EMFs) is calculated and compared in this paper. At first, the radial and tangential flux density in the air gap under healthy condition is developed via Maxwell's equations and Schwarz-Christoffel mapping. After that, variable air gap length and radii are introduced to calculate the flux density caused by eccentricities. The back EMF at each case is calculated and compared with that in healthy condition. At each section, FEM models are built to validate the analytical model, and the results show that the analytical model predictions agree well with those from the FE results. Finally, the analytical model is verified via experimental results.

Guo, Y, Yue, T & Wang, L 1970, 'Unconventional roll axis response-type Nonlinear Dynamic Inversion flight control law design', 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), IEEE, Nanjing, PEOPLES R CHINA, pp. 1085-1090.
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Guo, Y, Zhu, J, Lu, H & Lei, G 1970, 'Design considerations of electric motors with soft magnetic composite cores', 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC-ECCE Asia), 2016 IEEE 8th International Power Electronics and Motion Control Conference (IPEMC 2016 - ECCE Asia), IEEE, Hefei, China, pp. 3007-3011.
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© 2016 IEEE. Soft magnetic composite (SMC) materials possess many unique properties, which are particularly suitable for development of novel structure electric motors for various electric drive systems. The unique properties of SMC material include three-dimensional (3-D) magnetic and thermal isotropy, very low eddy current loss, and prospect of very low cost mass production. Therefore, the application of SMC materials in electrical appliance, particularly in electric motors, has attracted great interest in research. However, SMC materials also have some drawbacks, e.g. low permeability, high hysteresis loss and low mechanical strength, and hence a direct replacement of electrical steels by SMC would not necessarily lead to satisfaction or improvement of motor performance. To fully explore the application potential of the SMC materials, their unique properties should be fully employed and at the same time the effects of their drawbacks should be avoided or minimized. This paper aims to present some key issues on design of SMC electric motors based on the extensive research in the past two decades by various researchers including the authors of this paper. The key design issues are discussed and some conclusions are drawn for future effort in this area.

Habibullah, M, Dah-Chuan Lu, D, Xiao, D & Rahman, MF 1970, 'Performance investigation of selected prediction vectors based FS-PTC for 3L-NPC inverter fed motor drive', 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE, Milwaukee, WI, USA.
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© 2016 IEEE. Computational burden is a major hurdle for practical implementation of finite-state predictive torque control (FS-PTC) of motor drive fed by a multi-level inverter. One of the reasons of computational complexity is that all voltage vectors are evaluated for prediction and actuation. This paper proposes selected number of voltage vectors for the prediction and actuation, which are called prediction vectors in FS-PTC, and the performance is investigated for a three-level neutral-point clamped (3L-NPC) inverter fed motor drive. The number of prediction vectors is reduced based on the position of stator flux and the deviation in stator flux from its reference. Experimental results confirm that the computational burden is reduced significantly, while the dynamic performance in terms of torque and flux ripple, stator current total harmonic distortion (THD), neutral-point voltage, torque rise time, and average switching frequency is comparable to the all voltage vectors based FS-PTC.

Hakami, H & Chaczko, Z 1970, 'Improve data compression performance using wavelet transform based on HVS', 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), IEEE, Palmerston North, New Zealand, pp. 1-6.
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© 2016 IEEE.In recent years, multimedia computing has emerged as a major area of research. This led to the development of various other types of applications like video, images and graphics. Data compression is specifically valuable during communication as it enables the electronic devices to store and transmit the data in a smaller number of bits. The following research considers data compression as a possible solution to retrieve, store and transmit data. In relation to this, this research also aims to have a balance between the processing time, the quality and compression rate based on Human Visual System (HVS) perception. The best compression method for multimedia conversion would be to convert at the highest possible rate with the minimum amount of distortion. For this reason, the proposed method using wavelet based on HVS method with integrated JPEG2000 to achieve a high compression ratio, faster execution and better quality all in real time. This experiment work has improved the performance of the previous method and achieved the best result of data compression using wavelet based on HVS.

Hakimi, R, Saputra, YM & Nugraha, B 1970, 'Case study analysis on BGP: Prefix hijacking and transit AS', 2016 10th International Conference on Telecommunication Systems Services and Applications (TSSA), 2016 10th International Conference on Telecommunication Systems Services and Applications (TSSA), IEEE, Denpasar, INDONESIA.
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Han, Y, Li, J, Hoang, D, Yoo, J-H & Hong, JW-K 1970, 'An intent-based network virtualization platform for SDN', 2016 12th International Conference on Network and Service Management (CNSM), 2016 12th International Conference on Network and Service Management (CNSM), IEEE, Montreal, Quebec, Canada.
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He, ZY, Du, BX, Li, J, Xing, YQ, Li, A, Guo, YG & Ma, ZL 1970, 'Surface Charge Behaviors of Polyimide/Al2O3 Nanocomposite Films after Water Absorption', 2016 IEEE INTERNATIONAL CONFERENCE ON DIELECTRICS (ICD), VOLS 1-2, IEEE International Conference on Dielectrics (ICD), IEEE, FRANCE, Montpellier, pp. 301-304.

Hoang, DT & Niyato, D 1970, 'Information service pricing competition in Internet-of-Vehicle (IoV)', 2016 International Conference on Computing, Networking and Communications (ICNC), 2016 International Conference on Computing, Networking and Communications (ICNC), IEEE, Kauai, HI.
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In this work, we address the problem of service pricing competition in Internet-of-Vehicle (IoV) networks where multiple service providers compete with each other to offer vehicular services to users. We first introduce IoV networks and then develop an economic model for the competitive pricing problem among service providers through using the Bertrand game model. With the Bertrand game, we find the offered prices for providers at the Nash equilibrium. Then, we analyze the impact of parameters on the offered prices. Furthermore, due to the inefficiency of the Nash equilibrium to the profits of service providers, we propose using a repeated game model with the aim to establish a cooperation among providers such that their profits can be improved. The simulation results demonstrate the efficiency of the proposed repeated game model as well as conditions to maintain the cooperation among providers.

Hossain, MA, Pota, HR, Haruni, AMO & Hossain, MJ 1970, 'Over-voltage limiter of an inverter to improve microgrid reliability during unpredictable cases', 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), IEEE, Melbourne, AUSTRALIA, pp. 406-411.
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Huang, X, Fan, L, Zhang, J, Wu, Q & Yuan, C 1970, 'Real Time Complete Dense Depth Reconstruction for a Monocular Camera', 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, Las Vegas, Nevada., pp. 674-679.
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© 2016 IEEE. In this paper, we aim to solve the problem of estimating complete dense depth maps from a monocular moving camera. By 'complete', we mean depth information is estimated for every pixel and detailed reconstruction is achieved. Although this problem has previously been attempted, the accuracy of complete dense depth reconstruction is a remaining problem. We propose a novel system which produces accurate complete dense depth map. The new system consists of two subsystems running in separated threads, namely, dense mapping and sparse patch-based tracking. For dense mapping, a new projection error computation method is proposed to enhance the gradient component in estimated depth maps. For tracking, a new sparse patch-based tracking method estimates camera pose by minimizing a normalized error term. The experiments demonstrate that the proposed method obtains improved performance in terms of completeness and accuracy compared to three state-of the-art dense reconstruction methods VSFM+CMVC, LSDSLAM and REMODE.

Huang, X, Zhang, J, Wu, Q, Fan, L & Yuan, C 1970, 'A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds', 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016, Digital Image Computing Techniques and Applications, IEEE, Gold coast, Australia..
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With the development of numerous 3D sensing technologies, object registrationon cross-source point cloud has aroused researchers' interests. When the pointclouds are captured from different kinds of sensors, there are large anddifferent kinds of variations. In this study, we address an even morechallenging case in which the differently-source point clouds are acquired froma real street view. One is produced directly by the LiDAR system and the otheris generated by using VSFM software on image sequence captured from RGBcameras. When it confronts to large scale point clouds, previous methods mostlyfocus on point-to-point level registration, and the methods have manylimitations.The reason is that the least mean error strategy shows poor abilityin registering large variable cross-source point clouds. In this paper,different from previous ICP-based methods, and from a statistic view, wepropose a effective coarse-to-fine algorithm to detect and register a smallscale SFM point cloud in a large scale Lidar point cloud. Seen from theexperimental results, the model can successfully run on LiDAR and SFM pointclouds, hence it can make a contribution to many applications, such as roboticsand smart city development.

Hussein, F, Awwad, S, Piccardi, M & IEEE 1970, 'JOINT ACTION RECOGNITION AND SUMMARIZATION BY SUB-MODULAR INFERENCE', 2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Shanghai, China, pp. 2697-2701.
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Action recognition and video summarization are two important multimedia tasks that are useful for applications such as video indexing and retrieval, video surveillance, human-computer interaction and home intelligence. While many approaches exist in the literature for these two tasks, to date they have always been addressed separately. Instead, in this paper we move from the assumption that these two tasks should be tackled as a joint objective: on the one hand, action recognition can drive the selection of meaningful and informative summaries; on the other, recognizing actions from a summary rather than the entire video can in principle reduce noise and prove more accurate. To this aim, we propose a novel approach for joint action recognition-summarization based on the performing latent structural SVM framework, together with an efficient algorithm for inferring the action and the summary based on the property of sub-modularity. Experimental results on a challenging benchmark, MSR Dai-lyActivity3D, show that the approach is capable of achieving remarkable action recognition accuracy while providing appealing video summaries.

Imai, S, Kasauka, D, Tsutsui, H, Imagawa, T, Okuhata, H & Miyanaga, Y 1970, 'Processing time reduction of tone mapping based on iterative shrinkage smoothing using parallel processing', 2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), IEEE, Prince Songkla Univ, Dept Comp Engn, Phuket, THAILAND, pp. 211-214.
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Islam, M, Nadarajah, M & Hossain, J 1970, 'Multifunctional control of single-phase transformerless PV inverter connected to a distribution network', 2016 Australasian Universities Power Engineering Conference (AUPEC), 2016 Australasian Universities Power Engineering Conference (AUPEC), IEEE.
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Islam, M, Nadarajah, M & Hossain, J 1970, 'Multifunctional control of single-phase transformerless PV inverter connected to a distribution network', Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016, Australasian Universities Power Engineering Conference (AUPEC), IEEE, Brisbane, AUSTRALIA.
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Recently transformerless grid-tied photovoltaic (PV) inverters are getting popular in order to address several concerns; for example, poor efficiency, large size, and heavy weight compared to those with traditional inverter topologies. However, according to the several recently updated grid codes, the grid-tied PV inverter are required to provide full range of services such as maximum power injection, grid voltage regulation (VR), and fault ride through (FRT). In this paper, the performance of a transformerless PV system with a new droop based controller connected to the low voltage distribution system under different operating condition is investigated. In order to provide full-range of grid supporting services, three operation modes are proposed. A detail description of the transformerless PV inverter, droop based controller, and the control strategy are provided. The theoretical analysis is verified using nonlinear simulations in MATLAB/Simulink software environment. The results show that the presented system is capable of injecting maximum power when participate in the grid voltage regulation, and also can enhance fault ride through capability.

Kamal, MS, Nimmy, SF, Hossain, MI, Dey, N, Ashour, AS & Santhi, V 1970, 'ExSep: An exon separation process using Neural Skyline Filter', 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), IEEE.
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Karmokar, DK, Guo, YJ, Qin, P-Y, Esselle, KP & Bird, TS 1970, 'A dual-band half-width microstrip leaky-wave antenna for beam scanning in the forward and backward directions', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, QLD, Australia, pp. 816-819.
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© 2016 IEEE. A microstrip leaky-wave antenna (LWA) loaded periodically with C-shaped slots is described. Uniform half-width (HW) microstrip LWAs (HW-MLWAs) operate in a single band and radiate a main beam that scans only in the forward direction. The proposed antenna operates in two frequency bands and the main beam can be steered in both the forward and backward directions by sweeping the frequency. The -10 dB reflection bandwidths of the antenna are 4.2 to 4.9 GHz and 8.23 to 8.8 GHz. The beam scanning ranges of the antenna are 22° to 59° and -76° to -18° when the frequency is swept from 4.2 to 5 GHz and 7.85 to 8.9 GHz, respectively.

Kasauka, D, Tsutsui, H, Imai, S, Imagawa, T, Okuhata, H & Miyanaga, Y 1970, 'Image smoothing in the spatial domain using multigrid conjugate gradient methods based on accelerated iterative shrinkage', 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), IEEE.
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Khan, SA, Guo, Y & Zhu, J 1970, 'A high efficiency transformerless PV grid-connected inverter with leakage current suppression', 2016 9th International Conference on Electrical and Computer Engineering (ICECE), 2016 9th International Conference on Electrical and Computer Engineering (ICECE), IEEE, Dhaka, Bangladesh, pp. 190-193.
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© 2016 IEEE. This paper presents a new diode free freewheeling and common-mode voltage (CMV) clamping branches for single phase transformerless grid connected photovoltaic (PV) inverter for complete leakage current elimination and low conduction losses. In the past, various isolation techniques have been proposed for leakage current elimination in transformerless PV inverters. However, galvanic isolation only cannot completely eliminate leakage current due to that a resonant path is created by the switch junction capacitors, which also generate leakage current. The proposed freewheeling branch consists of four MOSFETs along with a clamping branch, which consists of two MOSFETs and a capacitor divider. The divider is connected to the DC side of the converter to keep constant CMV in the freewheeling path. As a result, the improved CMV clamping has been achieved for complete leakage current elimination. The unipolar sinusoidal pulse width modulation (SPWM) technique and modified HERIC topology with AC-decoupling for galvanic isolation is adopted for lower conduction losses. The proposed topology consists of only MOSFET in the freewheeling and clamping path which provides lower conduction losses compared with diode based topologies. The performances of the proposed topology in terms of common mode characteristics, leakage current, total harmonic distortion and conversion efficiency are analyzed and compared with H5, H6, HERIC and HBZBR topologies. The detail analyses are performed using MATLAB/Simulink and PSIM.

Kong, X, Brookes, W, Wang, Z, Han, B & Liu, L 1970, 'Identification and Analysis of Factors Influencing theEfficiency of Web Development Team Projects from theStudents’ Perspective', Proceedings of The 27th Australasian Association for Engineering Education, The 27th Australasian Association for Engineering Education, Southern Cross University, Coffs Harbour, Australia.
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The postgraduate subject “Web Technologies” is offered to engineering students who have different engineering backgrounds. The students have generally studied other computer programming and design methodologies in their engineering domain. The major learning objectives of this subject include being able to critically evaluate web technologies, apply web design methodologies to web based systems, and work efficiently with groups. To achieve these objectives, we have designed a web development process to apply to the major assessment task of developing a web system as a group. This research is to study the efficiency of this process with regard to student learning.

Kovaleva, M, Zeb, BA, Bulger, D & Esselle, KP 1970, 'An extremely wideband Fabry-Perot cavity antenna for superfast wireless backhaul applications', 2016 17th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM), 2016 17th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM), IEEE, Montreal, CANADA.
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Kovaleva, M, Zeb, BA, Bulger, D & Esselle, KP 1970, 'Radiation performance enhancement of a compact Fabry-Perot cavity antenna using particle swarm optimization', 2015 International Symposium on Antennas and Propagation, ISAP 2015, International Symposium on Antennas and Propagation (ISAP), IEEE, Hobart, AUSTRALIA.
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A Fabry-Perot cavity antenna (FPCA) with a compact single-layer all-dielectric superstructure is designed using particle swarm optimization (PSO). The PSO algorithm, implemented in a MATLAB code, considers Ackley function to achieve stable convergence by adjusting its internal parameters. We performed single-objective optimization using an objective function that maximizes the sum of boresight directivities at three distinct frequencies. It was found that peak directivity of 19 dBi and 3-dB directivity bandwidth of 24 % can be achieved by optimizing the permittivity distribution of the superstructure with a diameter of 2.2A0.

Kovaleva, M, Zeb, BA, Bulger, D & Esselle, KP 1970, 'Simulation-driven optimization of a compact Fabry-Perot cavity antenna', 2016 IEEE International Symposium on Antennas and Propagation (APSURSI), 2016 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, IEEE, Fajardo, PR, pp. 541-542.
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Lalbakhsh, A, Afzal, MU & Esselle, K 1970, 'Simulation-driven particle swarm optimization of spatial phase shifters', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, AUSTRALIA, pp. 428-430.
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Lalbakhsh, A, Afzal, MU, Esselle, KP & Zeb, BA 1970, 'Multi-objective particle swarm optimization for the realization of a low profile bandpass frequency selective surface', 2015 International Symposium on Antennas and Propagation, ISAP 2015, International Symposium on Antennas and Propagation (ISAP), IEEE, Hobart, AUSTRALIA.
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This paper presents a new application of evolutionary optimization algorithm to design an extremely low profile bandpass frequency selective surface (FSS). A particle swarm optimization algorithm is interfaced with a commercial time-domain solver to design and optimize a second-order bandpass FSS at 10 GHz with 20% fractional bandwidth. Four structure variables are defined in the algorithm to be optimized for realization of a grid of capacitive patches and inductive strips, which constitute the bandpass FSS. Optimization led to a FSS with a total thickness of λo/65.

Lalbakhsh, A, Afzal, MU, Zeb, BA & Esselle, KP 1970, 'Design of a dielectric phase-correcting structure for an EBG resonator antenna using particle swarm optimization', 2015 International Symposium on Antennas and Propagation, ISAP 2015, International Symposium on Antennas and Propagation (ISAP), IEEE, Hobart, AUSTRALIA.
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This paper presents a novel method to design an all-dielectric phase correcting structure (PCS) to improve phase uniformity on the aperture of a classical electromagnetic band gap resonator antenna (ERA). This PCS has fixed permittivity, but varying thickness in a plane perpendicular to the dominant radiated E-field component. A particle swarm optimization (PSO) algorithm and a commercial time-domain solver are combined to optimize the PCS thickness. The proposed PCS not only significantly reduces the phase non-uniformity, but also improves the broadside directivity of the ERA by 4.6 dBi.

Le, NT & Hoang, DB 1970, 'Can maturity models support cyber security?', 2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC), 2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC), IEEE, Las Vegas, USA, pp. 1-7.
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We are living in a cyber space with an unprecedented rapid expansion of the space and its elements. All interactive information is processed and exchanged via this space. Clearly a well-built cyber security is vital to ensure the security of the cyber space. However the definitions and scopes of both cyber space and cyber security are still not well-defined and this makes it difficult to establish sound security models and mechanisms for protecting this space. Out of existing models, maturity models offer a manageable approach for assessing the security level of a system or organization. The paper first provides a review of various definitions of cyber space and cyber security in order to ascertain a common understanding of the space and its security. The paper investigates existing security maturity models, focusing on their defining characteristics and identifying their strengths and weaknesses. Finally, the paper discusses and suggests measures for a sound and applicable cyber security model

Lei, G, Zhu, J, Liu, C & Ma, B 1970, 'Robust design optimization of electrical machines and drive systems for high quality mass production', 2016 6th International Electric Drives Production Conference (EDPC), 2016 6th International Electric Drives Production Conference (EDPC), IEEE, Nuremberg, Germany, pp. 217-223.
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© 2016 IEEE. Electrical drive is the heart in many modern appliances, as well as industry equipment and systems. In order to achieve the best design objectives, such as high performance and low material cost, various deterministic optimization methods have been developed for optimal design of electrical machines, power electronic converters, and parameters of control algorithms. On the other hand, the final quality of a motor drive system in mass production depends highly on the manufacturing technology employed and can be greatly affected by essential manufacturing tolerances and unavoidable uncertainties due to material diversity, machining error, and assembling inaccuracy, etc. An aggressively optimized design may be difficult to mass produce and end up with high manufacturing cost and/or high rejection rates. To solve this challenge, a robust design technique called design for six-sigma has been introduced to improve the manufacturing quality of both electrical machines and drive systems based on the multi-disciplinary, multi-level and multi-objective optimization methods. This work aims to show the development of these methods and their applications.

Li, H, Huang, X & Guo, YJ 1970, 'Improved quality-based channel state feedback scheme in multicast systems with greedy scheduling', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Qingdao, China, pp. 73-76.
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© 2016 IEEE. This paper proposes an Improved Quality-Based Channel State Feedback (IQCF) scheme in multicast systems with greedy scheduling for multiple multicast groups. The proposed scheme outperforms the Quality-Based Channel State Feedback (QCF) scheme in the literature by selecting a scheduling outage group for data transmission when scheduling outage happens. We also analyze its performance in terms of average capacity and outage probability, and present a closed-form system average capacity expression over Rayleigh fading channels. The numerically evaluated analytical results are verified by simulations.

Li, H, Wang, S, Yuan, D, Duan, N, Wang, S & Zhu, J 1970, 'Titanium droplet formation in electromagnetic levitation melting process', 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), IEEE, Miami, FL, USA, pp. 1-1.
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© 2016 IEEE. This paper simulates the melting process and liquid titanium droplet formation in electromagnetic levitation melting (EML) process by using the finite element method. The modelling of the physical EML process involves the coupling of electromagnetic, thermal, and fluid flow fields. The bidirectional interactions of different fields are also consided. The electrical parameters, such as frequency, current, and number of turns of the excitation coils, which might affect the size of droplet, are studied. The arbitrary Lagrangian-Eulerian formulation is employed to model the deformation of metal sample during the melting process. The results show that the method adopted in this paper could dynamically predict the melting process, and size of the droplet could be controlled by modifying the electrical parameters.

Li, L, Ni, W, Ma, X, Yang, Z, Meng, X & Shen, F 1970, 'A study on computation optimization method for three-dimension scene light field radiation simulation in visible light band', SPIE Proceedings, SPIE Remote Sensing, SPIE.
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Li, Y, Yang, Z, Ma, X & Ni, W 1970, 'Modeling the coupling effect of jitter and attitude control on TDICCD camera imaging', SPIE Proceedings, SPIE Remote Sensing, SPIE.
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Lin, Z, Wang, L, Dutkiewicz, E & Huang, X 1970, 'Performance Analysis of Chaotic Sampling and Detection in CS-DCSK UWB System', 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), IEEE, Nanjing, China, pp. 1-5.
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© 2016 IEEE. Compressed sensing based noncoherent UWB systems have been proved to be feasible with a sub-Nyquist sampling rate. As a kind of noncoherent UWB systems, code-shifted differential chaos shift keying (CS- DCSK) UWB system has drawn much attention recently. However, its receiver cannot directly be combined with compressed sensing to reduce the sampling rate. With this motivation, in this paper, we redesign the receiver of the CS-DCSK UWB system and further design two compressed sensing based receivers where the measurement matrix is redesigned. Bit error rate (BER) expression is derived over UWB channel. It is shown that the simulation results are in good agreement with the theoretical ones.

Linfeng Zheng, Jianguo Zhu & Guoxiu Wang 1970, 'A comparative study of battery balancing strategies for different battery operation processes', 2016 IEEE Transportation Electrification Conference and Expo (ITEC), 2016 IEEE Transportation Electrification Conference and Expo (ITEC), IEEE, Dearborn, Michigan, USA, pp. 1-5.
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© 2016 IEEE. To reduce the effect of cell inconsistencies and improve battery pack capacity, battery balancing techniques are essentially required in battery management systems (BMSs). This paper presents a comparative study of four battery balancing strategies for different battery operation processes. These balancing strategies are developed from the state-of-the-art battery balancing circuits and algorithms reported in recent literature. The performance of balancing strategies is evaluated and compared by battery pack maximum available capacity, state of charge (SOC) variances at the end of charge (EOC) and end of discharge (EOD). The comparative result is helpful for BMSs developers to employ optimal balancing strategies in actual applications.

Liu, J, Rahman, MS, Lu, J & Hossain, MJ 1970, 'Performance investigation of hybrid AC/DC microgrids during mode transitions', 2016 Australasian Universities Power Engineering Conference (AUPEC), 2016 Australasian Universities Power Engineering Conference (AUPEC), IEEE.
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Liu, J, Rahman, MS, Lu, J & Hossain, MJ 1970, 'Performance investigation of hybrid ACIDC microgrids during mode transitions', Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016, Australasian Universities Power Engineering Conference (AUPEC), IEEE, Brisbane, AUSTRALIA.
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The hybrid AC/DC microgrid is getting popular in different countries including Australia as it could enhance energy efficiency and system's reliability. This paper investigates the dynamic performance of a hybrid ACmC microgrid during transition from grid-tied mode to isolated mode and vice versa. As the droop control method allows the system to operate under both grid-connected mode and islanded mode, it is adopted as the main inverter control strategy for observing the system's performance during mode switching. Different characteristics of distribution energy resources (DERs) make it complicated to share power between the DC subgrid and the AC subgrid during islanded mode. Therefore, this paper investigates the performance of a hybrid microgrid under different scenarios which contains various DER combinations. DER units such as PV modules, wind turbines, battery energy storage systems (BESSs), and micro-turbines are utilized for building systems with different structures. Different case studies are carried out in MATLAB/SIMULINK environment based on a real microgrid system which is built in Griffith University Nathan campus for demonstrations. Simulation results show that the microgrid system could perform well and ensure smooth transition with the proposed control strategy described in this paper. Through the comparisons of different scenarios, it can be seen that system which include BESS could show better performance during mode transition. When micro-turbine involves in power supply, fluctuations in AC voltage and power supply can be optimized.

Liu, RP, Zhang, J & Guo, Y 1970, 'Resilient UAV Mesh Networks for Military Operations', Future Landforce Conference, Future Landforce Conference, Adelaide, Australia.

Liu, W, Chen, X, Yang, J & Wu, Q 1970, 'Robust weighted least squares for guided depth upsampling', 2016 IEEE International Conference on Image Processing (ICIP), 2016 IEEE International Conference on Image Processing (ICIP), IEEE, Phoenix, AZ, USA, pp. 559-563.
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© 2016 IEEE. In this paper, we propose a new guided depth upsampling method denoted as Robust Weighted Least Squares (RWLS). Our work is inspired by the connection between the Weighted Least Squares (WLS) and the Auto Regressive (AR) model. By adopting a new robust penalty function to model the smoothness of the proposed model, we show that the proposed method performs much better in preserving sharp depth discontinuities than previous work. Through both mathematical analysis and experimental results, we show that our method has promising performance on handling the inconsistency between the guidance image and the depth map in both preserving sharp depth discontinuities and suppressing the texture copy artifacts.

Lu, J, Taghizadeh, S, Hossain, MJ & Zhao, X 1970, 'Harmonic balance method used for harmonics calculation and prediction in power systems', 2016 Australasian Universities Power Engineering Conference (AUPEC), 2016 Australasian Universities Power Engineering Conference (AUPEC), IEEE, Brisbane, AUSTRALIA.
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Lu-Yang Ji, Pei-Yuan Qin, Guo, YJ, Guang Fu & Mittra, R 1970, 'A wideband polarization reconfigurable antenna for WLAN applications', 2016 10th European Conference on Antennas and Propagation (EuCAP), 2016 10th European Conference on Antennas and Propagation (EuCAP), IEEE, Davos, Switzerland.
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© 2016 European Association of Antennas and Propagation.This paper proposes a wideband polarization reconfigurable antenna design for WLAN applications. It consists of a shorted annular patch (SAP) antenna as the source, a partially reflective surface (PRS) structure to enhance the gain, and a reconfigurable Wilkinson power divider as the feed network. The antenna can electronically alter its polarization between linear polarization (LP), left-hand circular polarization (LHCP), and right-hand circular polarization (RHCP),achieving an overlapped 10dB impedance bandwidth and 3 dB axial-ratio bandwidth of 4.68-5.33 GHz (13%), thus outperforming most of the reported polarization reconfigurable antennas in terms of the frequency bandwidth.

Ly, QT, Handojoseno, AMA, Gilat, M, Nguyen, N, Chai, R, Tran, Y, Lewis, SJG & Nguyen, HT 1970, 'Detection of Gait Initiation Failure in Parkinson's disease patients using EEG signals', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, USA, pp. 1599-1602.
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© 2016 IEEE. Gait Initiation Failure (GIF) is one of the most disabling gait disturbances seen in advanced Parkinson's disease (PD). Gait Initiation is a complex motor task that requires motor and cognitive processing to enable the correct selection, timing and scaling of movement. Failure to initiate the first step often precipitates falls and leads to significant morbidity. However, the brain mechanisms underlying GIF remain unknown. This study utilized an ambulatory electroencephalography (EEG) technique to investigate the brain dynamic changes underlying GIF and aims to detect the occurrence of GIF in four PD patients. We sought to determine whether episodes of GIF might be associated with a characteristic brain signal that could be detected by surface EEG. This preliminary investigation analyzed the EEG signals through power spectra density (PSD) and centroid frequency (CF) to show that the GIF episodes were associated with significant increases in the high beta band (21-38Hz) across the central, frontal, occipital and parietal EEG sites. By implementing PSD and CF as input features with two-layer Back Propagation neural networks as a classifier, the proposed system was able to detect GIF events with a classification performance of 84.27% sensitivity and 84.80% accuracy. This is the first study to show cortical dynamic changes associated with GIF in Parkinson's disease, providing valuable information to enhance the performance of future GIF detection that could be translated into clinical practice.

Ly, QT, Handojoseno, AMA, Gilat, M, Nguyen, N, Chai, R, Tran, Y, Lewis, SJG & Nguyen, HT 1970, 'Identifying montages that best detect the electroencephalogram power spectrum alteration during freezing of gait in Parkinson's disease patients', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, USA, pp. 6094-6097.
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© 2016 IEEE. Our research team has previously used four Electroencephalography (EEG) leads to successfully detect and predict Freezing of Gait (FOG) in Parkinson's disease (PD). However, it remained to be determined whether these four sensor locations that were arbitrarily chosen based on their role in motor control are indeed the most optimal for FOG detection. The aim of this study was therefore to determine the most optimal location and combination of sensors to detect FOG amongst a 32-channel EEG montage using our EEG classification system. EEG measures, including power spectral density, centroid frequency and power spectral entropy, were extracted from 7 patients with PD and FOG during a series of Timed up and Go tasks. By applying a feed-forward neural networks to classify EEG data, the obtained results showed that even a small number of electrodes suffice to construct a FOG detector with expected performance, which is comparable to the use of a full 32 channels montage. This finding therefore progresses the realization of a FOG detection system that can be effectively implemented on a daily basis for FOG prevention, improving the quality of life for many patients with PD.

Maung, H, Aramvith, S & Miyanaga, Y 1970, 'Improved region-of-interest based rate control for error resilient HEVC framework', 2016 IEEE International Conference on Digital Signal Processing (DSP), 2016 IEEE International Conference on Digital Signal Processing (DSP), IEEE.
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Md Rafi, FH, Hossain, MJ, Rahman, MS & Lu, J 1970, 'Impact of controlling zero sequence current in a three-phase four-wire LV network with PV units', 2016 IEEE Power and Energy Society General Meeting (PESGM), 2016 IEEE Power and Energy Society General Meeting (PESGM), IEEE, Boston, MA.
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Membrey, P, Veitch, D & Chang, RKC 1970, 'Time to Measure the Pi', Proceedings of the 2016 Internet Measurement Conference, IMC 2016: Internet Measurement Conference, ACM, Santa Monica, California, USA, pp. 327-334.
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The Raspberry Pi platform is increasingly being used for network measurement due to its low cost, ease of deployment, and ability to run Linux. Timestamps are a critical part of measurement data, yet the suitability of the Pi for timing has not been established. We use reference hardware to characterize the Pi's STC hardware counter, and to evaluate its performance when paired with a low cost yet powerful GPS 'hat'. We find that the platform can support timing adequate for most measurement purposes, but with some caveats.

Muhammad, KS, Baharom, R, Salleh, MKM & Lu, DD-C 1970, 'Open-circuit fault tolerant bridgeless boost rectifier', IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IEEE, Florence, Italy, pp. 2201-2206.
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© 2016 IEEE.In this paper, a bridgeless boost rectifier with open circuit fault tolerant capability is proposed. The proposed converter is based on a H-bridge rectifier configuration. It possesses a redundancy feature such that only two out of four switches require to be functional to ensure the continuity of the converter operation with power factor correction (PFC). A detailed analysis of the converter operation under all open circuit faults of the switches are presented. In order to achieve smooth input current waveform, a PWM controller is proposed and developed which combines a conventional average current mode PFC controller with several logic gates and a phase detector. An experimental prototype is developed and tested to verify the converter performance.

Nanda, A, Nanda, P & He, X 1970, 'Geo-Location Oriented Routing Protocol for Smart Dynamic Mesh Network', 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), IEEE, Sydney, Australia, pp. 891-898.
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© 2016 IEEE. Wireless Mesh Network is an emerging technology with great potential to become a Self-Sustained Network. Unlike the traditional networks that dominate the current communication system and rely on a large and expensive setup of wired/wireless access points to provide connection between users, the Wireless Mesh Network is formed by the user devices (referred as Nodes) which connect to each other to form a network. However, due to the use of legacy/traditional network models for mesh networks, there exist various limitations towards its implementation. This paper presents a new approach towards the Wireless Mesh Network, incorporating a new routing scheme based on the Geo-Location of the devices. It puts forward the structure, working principle and its performance during the first implementation.

Nasir, AA, Ngo, DT, Tuan, HD, Durrani, S & Kim, DI 1970, 'Secure beamforming for max-min SINR in multi-cell SWIPT systems', 2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), IEEE, Doha, QATAR, pp. 1-6.
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© 2016 IEEE.We consider the downlink of a dense multicell network where each cell region is divided into two zones. The users nearby their serving base station (BS) in the inner zone implement simultaneous wireless information and power transfer (SWIPT), thus harvest energy and decode information using the power splitting approach. Further, they try to eavesdrop the information intended for other users within the same cell. The users in the outer zone of each cell only implement information decoding. Our objective is to maximize the minimum user equipment (UE) signal-To-interference-And-noise ratio (SINR) under constraints on the BS transmit power, minimum energy harvesting levels of near-by users, and maximum SINR of eavesdroppers in the presence of multi-cell interference. For such a highly non-convex problem, semidefinite relaxation (SDR) may even fail to locate a feasible solution. We propose two methods to address such a difficult problem. In the spectral optimization, we express the rank-one constraints as a single reverse convex nonsmooth constraint and incorporate it into the optimization objective. In the difference-of-convex-functions iteration method, we directly solve for the beamforming vectors via quadratic programming (QP), avoiding the matrix rank constraints. In each iteration of the proposed algorithms, we only solve one simple convex semidefinite program (SDP) or QP. Our simulation results confirm that the proposed algorithms converge quickly after a few iterations. More importantly, our algorithms yield the performance that is very close to the theoretical bound given by SDP relaxation with comparable computational complexity.

Nasir, AA, Tuan, HD, Duong, TQ & Poor, HV 1970, 'Secrecy Rate Beamforming for Multi-Cell SWIPT Networks', 2016 IEEE Globecom Workshops (GC Wkshps), 2016 IEEE Globecom Workshops (GC Wkshps), IEEE, Washington, DC, USA, pp. 1-5.
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© 2016 IEEE. Considering a multicell network for secure wireless information and power transfer, this paper studies the joint design of transmit beamformers at the base stations (BSs) and receive signal splitting ratios at the end users' equipment (UEs). The primary concern in this work is the network internal security, where there may be a single multi-antenna eavesdropper who eavesdrop on the received signal of any user. The objective is to maximize the minimum secrecy user rate under BS transmit power and UE minimum harvested energy constraints. New path-following algorithm is proposed for computational solution of the difficult nonconvex optimization problem. Each iteration involves one simple convex quadratic program (QP). Numerical results confirm that the proposed algorithm converges quickly after few iterations and the secrecy rate performance is close to that of normal rate in the absence of eavesdropper.

Nguyen, T, Hoang, D & Seneviratne, A 1970, 'Challenge-response trust assessment model for personal space IoT', 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), IEEE, Australia.
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© 2016 IEEE. Internet of Things (IoT) embraces the interconnection of identifiable devices that are capable of providing services through their cooperation. The cooperation among devices in such an IoT environment often requires reliable and trusted participating members in order to provide useful services to the end user. Consequently, an IoT environment or space needs to evaluate the trust levels of all devices in contact before admitting them as members of the space. Existing trust evaluation models are based on resources such as historical observations or recommendations information to evaluate the trust level of a device. However, these methods fail if there is no existing trust resource. This paper introduces a specific IoT environment called personal space IoT and proposes a novel trust evaluation model that performs a challenge-response trust assessment to evaluate the trust level of a device before allowing it to participate in the space. This novel challenge-response trust assessment model does not require the historical observation or previous encounter with the device or any existing trusted recommendation. The proposed challenge-response trust assessment model provides a reliable trust resource that can be used along with other resources such as direct trust, recommendation trust to get a comprehensive trust opinion on a specific device. It can also be considered as a new method for evaluating the trust value on a device.

Nurhanim, K, Elamvazuthi, I, Izhar, LI, Ganesan, T & Su, SW 1970, 'Development of a model for sEMG based joint-torque estimation using Swarm techniques', 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA), 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation (ROMA), IEEE, Ipoh, Malaysia, pp. 1-6.
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Over the years, numerous researchers have explored the relationship between surface electromyography (sEMG) signal with joint torque that would be useful to develop a suitable controller for rehabilitation robot. This research focuses on the transformation of sEMG signal by adopting a mathematical model to find the estimated joint torque of knee extension. Swarm techniques such as Particle Swarm Optimization (PSO) and Improved Particle Swarm Optimization (IPSO) were adapted to optimize the mathematical model for estimated joint torque. The correlation between the estimated joint torque and actual joint torque were determined by Coefficient of Determination (R2) and fitness value of Sum Squared Error (SSE). The outcome of the research shows that both the PSO and IPSO have yielded promising results.

Peng, F, Lu, X, Lu, J, Xu, RY-D, Luo, C, Ma, C & Yang, J 1970, 'MetricRec: Metric Learning for Cold-Start Recommendations', Advanced Data Mining and Applications (LNAI), International Conference on Advanced Data Mining and Applications, Springer International Publishing, Gold Coast, QLD, Australia, pp. 445-458.
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© Springer International Publishing AG 2016.Making recommendations for new users is a challenging task of cold-start recommendations due to the absence of historical ratings. When the attributes of users are available, such as age, occupation and gender, then new users’ preference can be inferred. Inspired by the user based collaborative filtering in warm-start scenario, we propose using the similarity on attributes to conduct recommendations for new users. Two basic similarity metrics, cosine and Jaccard, are evaluated for cold-start. We also propose a novel recommendation model, MetricRec, that learns an interest-derived metric such that the users with similar interests are close to each other in the attribute space. As the MetricRec’s feasible area is conic, we propose an efficient Interior-point Stochastic Gradient Descent (ISGD) method to optimize it. During the optimizing process, the metric is always guaranteed in the feasible area. Owing to the stochastic strategy, ISGD possesses scalability. Finally, the proposed models are assessed on two movie datasets, Movielens-100K and Movielens-1M. Experimental results demonstrate that MetricRec can effectively learn the interest-derived metric that is superior to cosine and Jaccard, and solve the cold-start problem effectively.

Pham, M & Hoang, DB 1970, 'SDN applications - The intent-based Northbound Interface realisation for extended applications', 2016 IEEE NetSoft Conference and Workshops (NetSoft), 2016 IEEE NetSoft Conference and Workshops (NetSoft), IEEE, Seoul, South Korea, pp. 372-377.
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© 2016 IEEE.The Northbound Interface (NBI) plays a crucial role in promoting the adoption of SDN as it allows developers the freedom of developing their revenue-generating applications without being affected and constrained by the complexities of the underlying networks. To do so the NBI has to allow applications to express their requirements and constraints in their own application specific language, and the SDN controller to translate those requirements into SDN network specific language for provisioning network resources and services to satisfy the application requirements. The intent-based NBI is born from this consideration and the Open Networking Foundation (ONF) provides principles and guidelines to build such an intent-based NBI. However, these principles do not lend themselves readily to the design and practical realization of an intent-based NBI for extended classes of business-like network applications. This paper introduces a solution and its initial implementation in the form of a novel architecture for realizing the intent-based NBI. The new solution exploits the modularized and reuse features of the micro services and service oriented architectures.

Pham, TT, Nguyen, DN, Dutkiewicz, E, McEwan, AL, Thamrin, C, Robinson, PD & Leong, PHW 1970, 'Feature Engineering and Supervised Learning Classifiers for Respiratory Artefact Removal in Lung Function Tests', 2016 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2016 - 2016 IEEE Global Communications Conference, IEEE, Washington D, US, pp. 1-6.
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A critical task in forced oscillation technique (FOT), a promising lung function test, is to remove respiratory artefacts. Manual removal by specialists is widely used but time- consuming and subjective. Most existing automated techniques have involved simple thresholding methods in an unsupervised manner. Breath cycles can be classified by a binary classification model (classes: artefactual and accepted). While attempting to use off-the-shelf sorting algorithms (e.g., one-class support vector machine, knearest neighbours, and adaptive boosting ensemble), we noticed their poor detection performance. This may result from the dependence of samples as found in physiological studies of the lung function that challenges the learning process. Specifically, statistics of breaths that we recorded may change from one to another patient and even within the same recording of a patient. We introduce an additional feature engineering step that is an intermediate module to decorrelate samples, called feature learning (using Wilcoxon signed rank tests). To that end, we collected FOT recordings from various groups of patients (paediatric and adult including healthy and asthmatics). Artefacts in this work were recorded naturally and processed in a complete-breath approach. Performance metrics include evaluations on preservation of 'accepted' breaths in the filtered output (including F1- score, throughput, and approval rate). Our experiment found that our feature engineering steps significantly improve the artefact removal performance of all implemented classifiers especially with feature inputs selected by mutual information criterion.

Phan, TT, Nguyen, VL, Hossain, MJ, To, AN & Tran, HT 1970, 'An Unified Iterative Algorithm for Load Flow Analysis of Power System Including Wind Farms', 2016 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND APPLICATIONS (ACOMP), International Conference on Advanced Computing and Applications (ACOMP), IEEE, Can Tho Univ Technol, Can Tho City, VIETNAM, pp. 105-112.
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Phan, TT, Nguyen, VL, Hossain, MJ, To, AN & Tran, HT 1970, 'An Unified Iterative Algorithm for Load Flow Analysis of Power System Including Wind Farms', 2016 International Conference on Advanced Computing and Applications (ACOMP), 2016 International Conference on Advanced Computing and Applications (ACOMP), IEEE, pp. 105-112.
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© 2016 IEEE. This paper presents a new power flow (PF) technique for distribution system including wind farms (WFs) with asynchronous generators (AGs) represented by RXv bus model using an unified iterative algorithm. With RXv bus model, AGs are supposed as RX load buses with their equivalent impedances and v is wind speed. In addition, it is assumed that wind speed is a known variable which combined with the AGs' impedance to become the RXv model. The paper proposes a highly efficient and accurate method which combines the slip variables corresponding to the AGs with the nodal voltage magnitudes and angles of the network in a single frame-of-reference for a unified iterative solution. The method retains Newton Raphson (NR) quadratic convergence characteristics. By considering characteristics of AGs, the RXv bus model is more suitable. To validate the proposed model, the modified IEEE 30-bus system with two connected WFs is used to represent wind generators in power flow analysis. Calculated results of load flow analysis program show that the proposed model and the unified calculating method are feasible and accurate.

Phan, TT, Nguyen, VL, Hossain, MJ, To, AN, Tran, HT & Phan, TN 1970, 'Transient Responses of the Doubly-Fed Induction Generator Wind Turbine under Grid Fault Conditions', 2016 International Conference on Advanced Computing and Applications (ACOMP), 2016 International Conference on Advanced Computing and Applications (ACOMP), IEEE, pp. 97-104.
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© 2016 IEEE. Doubly-fed induction generator (DFIG) wind turbine (WT) is an integrated part of distributed generation system. The use of DFIG in wind farms is growing rapidly because of its advantages in decoupled active and reactive power control. However, one of the main disadvantages of DFIG is that it is very sensitive to grid faults. To analysis dynamic behaviors of DFIG during grid faults, a model including wind wheel, wind speed, drive train, generator, and converters has been proposed. This paper examines the use of distribution static compensator (D-STATCOM) as a dynamic voltage restorer at the point of common coupling (PCC) to improve the grid fault ride-through (FRT) capability and thereby protecting system stability during disturbances. The simulation results illustrate the transient responses of DFIG when a sudden short circuit at PCC is introduced. Besides, the paper also shows detailed comparisons of the transient behaviors between DFIG and conventional induction generator wind turbine under grid fault conditions.

Phan, TT, Nguyen, VL, Hossain, MJ, To, AN, Tran, HT & Phan, TN 1970, 'Transient Responses of the Doubly-Fed Induction Generator Wind Turbine under Grid Fault Conditions', 2016 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND APPLICATIONS (ACOMP), International Conference on Advanced Computing and Applications (ACOMP), IEEE, VIETNAM, Can Tho Univ Technol, Can Tho City, pp. 97-104.
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Phoon, DK-H, Lehmann, T, Hamilton, TJ & Jenkins, J 1970, 'Hybrid dual-mode low voltage dropout regulator with infinite impulse response digital filters', 2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS), 2016 IEEE 7th Latin American Symposium on Circuits & Systems (LASCAS), IEEE, Florianopolis, BRAZIL, pp. 195-198.
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Phung, MD, Quach, CH, Chu, DT, Nguyen, NQ, Dinh, TH & Ha, QP 1970, 'Automatic interpretation of unordered point cloud data for UAV navigation in construction', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE, Phuket, Thailand, pp. 1-6.
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© 2016 IEEE. The objective of this work is to develop a data processing system that can automatically generate waypoints for navigation of an unmanned aerial vehicle (UAV) to inspect surfaces of structures like buildings and bridges. The input includes data recorded by two 2D laser scanners, orthogonally mounted on the UAV, and an inertial measurement unit (IMU). To achieve the goal, algorithms are developed to process the data collected. They are separated into three major groups: (i) the data registration and filtering to generate a 3D model of the structure and control the density of point clouds for data completeness enhancement; (ii) the surface and obstacle detection to assist the UAV in monitoring tasks; and (iii) the waypoint generation to set the flight path. Experiments on different data sets show that the developed system is able to reconstruct a 3D point cloud of the structure, extract its surfaces and objects, and generate waypoints for the UAV to accomplish inspection tasks.

Poostchi, H, Borzeshi, EZ, Abdous, M & Piccardi, M 1970, 'PersoNER: Persian named-entity recognition', COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers, International Conference on Computational Linguistics, COLING, Osaka, Japan, pp. 3381-3389.
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Named-Entity Recognition (NER) is still a challenging task for languages with low digital resources. The main difficulties arise from the scarcity of annotated corpora and the consequent problematic training of an effective NER pipeline. To abridge this gap, in this paper we target the Persian language that is spoken by a population of over a hundred million people world-wide. We first present and provide ArmanPerosNERCorpus, the first manually-annotated Persian NER corpus. Then, we introduce PersoNER, an NER pipeline for Persian that leverages a word embedding and a sequential max-margin classifier. The experimental results show that the proposed approach is capable of achieving interesting MUC7 and CoNNL scores while outperforming two alternatives based on a CRF and a recurrent neural network.

Pradhan, S, Gay, V & Nepal, S 1970, 'An innovative approach to derive trust from social networks and to improve the matching in dental care recommendation systems', Pacific Asia Conference on Information Systems, PACIS 2016 - Proceedings, Pacific Asia Conference on Information Systems, PACIS, Taiwan.
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Social trust has been gradually transitioned from face to face to online platforms due to the increasing engagement by the internet users in online social networks. This study looks at how this affects the way medical professionals, and dentists in particular, are recommended and chosen. Based on the literature, analysis of online dental reviews and a survey, it finds that subjective qualities of both dentists and patients are important aspects of the social trust. In order to analyse those qualities, this study introduces an innovative trust-based information model to evaluate those important subjective qualities. The model evaluates 4 trust components: context, relationship, reputation and personality analysis. Dentists and patients are profiled using this model and information extracted from social networks. Dentists are profiled using subjective qualities derived from online dental reviews and patients are profiled using subjective information such as level of dental fear and personality traits, collected from the survey with 580 participants. This paper provides an overview of dentists' profiles from online reviews and that of patients from the survey results, on a particular example as an illustration. The result of this study can be used to define a set of rules to improve the matching between patients and dentists in dental care recommendation systems.

Pradhan, S, Gay, V & Nepal, S 1970, 'Impact of subjective aspects in the matching of dentists and patients in dental care recommendation systems', 2016 International Conference on Information Systems, ICIS 2016, International Conference on Information Systems (ICIS), AISEL, Dublin, pp. 1-19.
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The recent growth of social media has impacted the way users are searching and sharing health information. Online review and rating websites, in particular, provide a support for patients to share their opinions. Yet, finding the right information can be a challenge, particularly when there is no consistency in the evaluation criteria across various sources. The invasive nature of many dental treatments highlights the importance of selecting a suitable trustworthy provider for dental patients. This study proposes a new trust-enhanced information model in which dentists and patients are profiled based on subjective information. Subjective aspects of dentists are extracted from dental crowd sources such as DrOogle and Yelp. Two matching algorithms are presented. They are based on 580 responses to an online survey. The subjective aspects of both patients and dentists are important factors which are incorporated to improve the matching capability of dental care recommendation systems.

Qi, J & Dah-Chuan Lu, D 1970, 'A control scheme combining state-of-charge balancing and voltage/current regulation for a distributed battery system based on fly-back converter', 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC), 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC), IEEE.
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© 2016 IEEE. This paper presents a control scheme combining SoC balancing and voltage/current regulation for a distributed battery system based on fly-back converters. In discharging operation, the proposed control scheme consists of two control loops. The first control loop is designed to regulate all battery terminal voltages to be identical, thus SoC imbalance issue is solved from the root. The other control loop is designed to regulate the output voltage. These two control objectives are combined into one system. In charging operation, the flyback converters are operated in discontinuous conduction mode (DCM). As a result, the charging power of each battery is identical. Therefore, SoC imbalance issue is avoided. The analysis of the control scheme and prototype validation based on flyback converters are provided to illustrate and demonstrate the proposed control scheme.

Qiao, M, Bian, W, Xu, RYD & Tao, D 1970, 'Diversified hidden Markov models for sequential labeling', 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 2016 IEEE 32nd International Conference on Data Engineering (ICDE), IEEE, Helsinki, FINLAND, pp. 1512-+.
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Qin, P-Y, Guo, YJ, Ji, L-Y & Wei, F 1970, 'A single-layer wideband reflectarray with sub-wavelength phase-shifting elements', 2016 IEEE International Symposium on Antennas and Propagation (APSURSI), 2016 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, IEEE, Puerto Rico, pp. 1415-1416.
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© 2016 IEEE. A single-layer wideband reflectarray antenna employing sub-wavelength phase-shifting elements is presented. The element is composed of double concentric square meander line rings and its size is a fifth of a wavelength. By changing the length of the meander line, a phase variation range of about 360° is achieved with an almost constant slop across the 9 to 11 GHz. Using this element, a 48 × 48 - element reflectarray antenna is designed. A measured 1.5-dB gain bandwidth of 18 % is achieved.

Rafi, FHM, Hossain, MJ, Rahman, MS & Lu, J 1970, 'Implementation of independent improved neutral current controller using four leg PV-VSI', 2016 Australasian Universities Power Engineering Conference (AUPEC), 2016 Australasian Universities Power Engineering Conference (AUPEC), IEEE, Brisbane, AUSTRALIA.
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Rahman, MS, Hossain, MJ, Md Rafi, FH & Lu, J 1970, 'A multi-purpose interlinking converter control for multiple hybrid AC/DC microgrid operations', 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), 2016 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia), IEEE, Melbourne, AUSTRALIA, pp. 221-226.
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Rahman, MS, Hossain, MJ, Rafi, FHM & Lu, J 1970, 'EV charging in a commercial hybrid AC/DC microgrid: Configuration, control and impact analysis', 2016 Australasian Universities Power Engineering Conference (AUPEC), 2016 Australasian Universities Power Engineering Conference (AUPEC), IEEE, Brisbane, AUSTRALIA.
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Rana, MM, Li Li & Su, SW 1970, 'Cyber attack protection and control in microgrids using channel code and semidefinite programming', 2016 IEEE Power and Energy Society General Meeting (PESGM), 2016 IEEE Power and Energy Society General Meeting (PESGM), IEEE, USA.
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© 2016 IEEE. The smart grid has been considered as a nextgeneration power system to modernize the traditional grid to improve its security, connectivity and sustainability. Unfortunately, the grid is susceptible to malicious cyber attacks, which can create serious technical, economical and control problems in power network operations. In contrast to the traditional cyber attack minimization techniques, this paper proposes a recursive systematic convolutional (RSC) code and Kalman filter based method in the context of microgrids. Specifically, the proposed RSC code is used to add redundancy in the microgrid states, and the log maximum a posterior is used to recover the state information which is affected by random noises and cyber attacks. Once the estimated states are obtained, a semidefinite programming based optimal feedback controller is proposed to regulate the system states. Test results show that the proposed approach can accurately mitigate the cyber attacks and properly estimate and control the system states.

Rana, MM, Li, L & Su, SW 1970, 'Distributed condition monitoring of renewable microgrids using adaptive-then-combine algorithm', 2016 IEEE Power and Energy Society General Meeting (PESGM), 2016 IEEE Power and Energy Society General Meeting (PESGM), IEEE, USA.
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© 2016 IEEE. This paper explores the problem of distributed state estimation including packet losses for the environment-friendly renewable microgrid incorporating electricity generating circuits. The problem is becoming critical due to the global warming, increasing green house gas emissions, and practical infeasibility with computational burden of the large-scale centralized power system monitoring. To address the impending problem, a novel distributed microgrid state estimation algorithm is derived in the context of microgrids. Specifically, after modelling the microgrid, this paper proposes a local microgrid state estimation algorithm considering packet losses. Then a novel optimal weighting factor calculation method for the global state estimation is proposed. Particularly, it can automatically adjust the optimal weighting factors for different sensor measurements based on the observation quality, improving the estimation accuracy of the global estimation. Simulations show that the desired state estimation accuracy is achievable.

Rana, MM, Li, L & Su, SW 1970, 'Distributed dynamic state estimation considering renewable generation and packet losses', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE, Phuket, Thailand, pp. 1-6.
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© 2016 IEEE. The penetration of renewable distributed energy resources such as wind turbine has been dramatically integrated in distribution networks due to clean, sustainable, and economical green energy. Due to intermittent wind speed, the power generation patterns vary which can risk the distribution network operation. So, it is intrinsically required to monitor the wind turbines in a distributed way. This paper presents an adaptive-then-combine distributed dynamic approach for monitoring the grid under lossy communication link between the wind turbines and energy management system. Firstly, the wind turbine is represented by a state-space linear equation, with sensors deployed to obtain system state information. Based on the mean squared error principle, an adaptive approach is proposed to estimate the local state information. The global estimation is designed by combining estimation results with weighting factors which are calculated by minimizing estimation error covariance based on semi-definite programming. Finally, the convergence analysis indicates that estimation error is gradually decreased, so the estimated state converges to the actual state. The efficacy of the developed approach is verified using the turbine model. The research is valuable for green energy technologies, households and interconnected industrial information societies, and also provides the knowledge towards a smart and secure green energy future.

Rana, MM, Li, L & Su, SW 1970, 'Distributed dynamic state estimation over a lossy communication network with an application to smart grids', 2016 IEEE 55th Conference on Decision and Control (CDC), 2016 IEEE 55th Conference on Decision and Control (CDC), IEEE, Las Vegas, USA, pp. 6657-6662.
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© 2016 IEEE. In contrast to the traditional centralised power system state estimation methods, this paper investigates the interconnected optimal filtering problem for distributed dynamic state estimation considering packet losses. Specifically, the power system incorporating microgrids is modelled as a state-space linear equation where sensors are deployed to obtain measurements. Basically, the sensing information is transmitted to the energy management system through a lossy communication network where measurements are lost. As the system states are unavailable, so the estimation is essential to know the overall operating conditions of the electricity network. The proposed estimator is based on the mean squared error between the actual state and its estimate. To obtain the distributed estimation, the optimal local and neighbouring gains are computed to reach a consensus estimation after exchanging their information with the neighbouring estimators. Then the convergence of the developed algorithm is theoretically proved. Afterwards, a distributed controller is designed based on the semidefinite programming approach. Simulation results demonstrate the accuracy of the developed approaches under the condition of missing measurements.

Rana, MM, Li, L & Su, SW 1970, 'Microgrid protection and control through reliable smart grid communication systems', 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), IEEE, Phuket, Thailand, pp. 1-6.
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© 2016 IEEE. Due to dramatically rising energy demand worldwide power system is often run near the operational and technical limits, where unexpected trivial disturbances can cause possibly massive blackouts. Cyber attacks on smart grid communication networks are one of the impending threats to cause large-scale cascading outage. In contrast to the traditional cyber attack protection techniques, this paper presents a recursive systematic convolutional code based defending technique from the signal processing perspective. This code introduces redundancy in the system for protecting the grid information. Furthermore, an optimal control law is designed to stabilize the power network. Specifically, the performance index for control is converted to a convex semidefinite programming problem. The proposed controller can work well for any initial values. The efficacy of the developed approach is verified through numerical simulations. Results show that the proposed strategy has stronger attack protection performance and the controller can stabilize the grid in a fairly short time. This approach provides a fundamental framework for the design of the smart grid energy management system and reliable communication infrastructure scheme with renewable integration applications.

Rao, T, Xu, M, Liu, H, Wang, J & Burnett, I 1970, 'Multi-scale blocks based image emotion classification using multiple instance learning', 2016 IEEE International Conference on Image Processing (ICIP), 2016 IEEE International Conference on Image Processing (ICIP), IEEE, Phoenix, Arizona, USA.
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Emotional factors usually affect users' preferences for and evaluations of images. Although affective image analysis attracts increasing attention, there are still three major challenges remaining: 1) it is difficult to classify an image into a single emotion type since different regions within an image can represent different emotions; 2) there is a gap between low-level features and high-level emotions and 3) it is difficult to collect a training set of reliable emotional image content. To address these three issues, we propose an emotion classification method based on multi-scale blocks using Multiple Instance Learning (MIL). We firstly extract blocks of an image at multiple scales using different image segmentation methods pyramid segmentation and simple linear iterative clustering (SLIC) and represent each block using the bag-of-visual-words (BoVW) method. Then, to bridge the “affective gap”, probabilistic latent semantic analysis (pLSA) is employed to estimate the latent topic distribution as a mid-level representation of each block. Finally, MIL, which reduces the need for exact labelling, is employed to classify the dominant emotion type of the image. Experiments carried out on three widely used datasets demonstrate that our proposed method with S-LIC effectively improves the state-of-the-art results of image emotion classification 5.1% on average.

Reza, CMFS & Lu, DD-C 1970, 'Improved power routing algorithm for power packet distribution system', 2016 IEEE 5th Global Conference on Consumer Electronics, 2016 IEEE 5th Global Conference on Consumer Electronics, IEEE, Kyoto, Japan.
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© 2016 IEEE.Recently proposed power packet (PP) distribution system can reduce stand-by power, improve the traditional power distribution system efficiency using less power processing stages, and monitor load demand intelligently from source side to keep the power system stable. Each PP includes header and footer bits which are used to distribute the PP. Reduced footer bit can save the transitional switching loss. A modified PP format with reduced footer bit and an improved algorithm to route the PP to the objective loads are proposed in this paper and verified by the experimental results.

Salah, A, Dorrel, D & Guo, Y 1970, 'Monitoring and Damping UMP Due Eccentricity Fault in Induction Machines: A Review', 2016 International Conference of Asian Union of Magnetics Societies (ICAUMS), 2016 International Conference of Asian Union of Magnetics Societies (ICAUMS), IEEE, Tainan, Taiwan.
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© 2016 IEEE. Three-phase induction machines are reliable and widely used in industrial plants. The efficient condition monitoring can diagnose the inception of fault mechanisms in induction motors thus avoiding failure and expensive repairs. Therefore, there is a strong need to develop a more efficient condition monitoring. The main target is to achieve a relatively low cost and/or non-invasive system which is still powerful in terms of monitoring for online detection of developing faults. This digest adresses rotor eccentricity faults and study of conventional monitoring techniques for induction motor faults. In order to reduce the UMP in case of an eccentric rotor, the eccentricity-generated additional airgap flux waves should be reduced. Additional, the characteristics of UMP in induction machines are addressed. Methods to reduce the side-band flux waves and hence attenuate the UMP will be addressed.

Salah, A, Youguang Guo & Dorrell, D 1970, 'Impedance matrix analysis technique in wound rotor induction machines including general rotor asymmetry', IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IEEE, Florence, Italy, pp. 1821-1826.
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© 2016 IEEE. A steady state analysis is developed for a wound rotor induction machine. In this paper the authors derive simple expressions for the mutual and coupling impedance in order to build impedance matrix. The analysis can be used in two ways when dealing with a symmetrical and asymmetrical rotor. The analysis is verified using a wound-rotor motor; the analysis can then be used to investigate asymmetry faults in a wound rotor machine. Experimental results (torque and current characteristic) are compared with computer predictions for the machine with both open-circuit and short-circuit faults.

San, PP, Ling, SH & Nguyen, HT 1970, 'Deep learning framework for detection of hypoglycemic episodes in children with type 1 diabetes', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, pp. 3503-3506.
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© 2016 IEEE. Most Type 1 diabetes mellitus (T1DM) patients have hypoglycemia problem. Low blood glucose, also known as hypoglycemia, can be a dangerous and can result in unconsciousness, seizures and even death. In recent studies, heart rate (HR) and correct QT interval (QTc) of the electrocardiogram (ECG) signal are found as the most common physiological parameters to be effected from hypoglycemic reaction. In this paper, a state-of-the-art intelligent technology namely deep belief network (DBN) is developed as an intelligent diagnostics system to recognize the onset of hypoglycemia. The proposed DBN provides a superior classification performance with feature transformation on either processed or un-processed data. To illustrate the effectiveness of the proposed hypoglycemia detection system, 15 children with Type 1 diabetes were volunteered overnight. Comparing with several existing methodologies, the experimental results showed that the proposed DBN outperformed and achieved better classification performance.

San, PP, Ling, SH, Chai, R, Tran, Y, Craig, A & Nguyen, H 1970, 'EEG-based driver fatigue detection using hybrid deep generic model', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, USA, pp. 800-803.
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Classification of electroencephalography (EEG)- based application is one of the important process for biomedical engineering. Driver fatigue is a major case of traffic accidents worldwide and considered as a significant problem in recent decades. In this paper, a hybrid deep generic model (DGM)- based support vector machine is proposed for accurate detection of driver fatigue. Traditionally, a probabilistic DGM with deep architecture is quite good at learning invariant features, but it is not always optimal for classification due to its trainable parameters are in the middle layer. Alternatively, Support Vector Machine (SVM) itself is unable to learn complicated invariance, but produces good decision surface when applied to well-behaved features. Consolidating unsupervised high-level feature extraction techniques, DGM and SVM classification makes the integrated framework stronger and enhance mutually in feature extraction and classification. The experimental results showed that the proposed DBN-based driver fatigue monitoring system achieves better testing accuracy of 73.29 % with 91.10 % sensitivity and 55.48 % specificity. In short, the proposed hybrid DGM-based SVM is an effective method for the detection of driver fatigue in EEG.

Saputra, YM & Hakimi, R 1970, 'Performance analysis on gain prediction of dual-radio aggregation system in heterogeneous network', 2016 8th International Conference on Information Technology and Electrical Engineering (ICITEE), 2016 8th International Conference on Information Technology and Electrical Engineering (ICITEE), IEEE, Univ Gadjah Mada, Fac Engn, Dept Elect Engn & Informat Technol, Yogyakarta, INDONESIA.
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Saputra, YM & Hendrawan 1970, 'The effect of packet loss and delay jitter on the video streaming performance using H.264/MPEG-4 Scalable Video Coding', 2016 10th International Conference on Telecommunication Systems Services and Applications (TSSA), 2016 10th International Conference on Telecommunication Systems Services and Applications (TSSA), IEEE, Denpasar, INDONESIA.
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Savitha, R, Chan, KY, San, PP, Ling, SH & Suresh, S 1970, 'A hybrid Deep Boltzmann Functional Link Network for classification problems', 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016 IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Athens, GREECE.
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Sheng, Z, Tuan, HD, Kha, HH & Fang, Y 1970, 'Effectively inserted training for channel state estimation of spatially correlated MIMO-OFDM', 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE), 2016 IEEE Sixth International Conference on Communications and Electronics (ICCE), IEEE, Ha Long, Vietnam, pp. 89-93.
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© 2016 IEEE.This work considers channel state estimation of multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) with spatial correlation by inserting a very short-length training sequence into each OFDM symbol. The rate occupancy of the training sequence within one OFDM symbol is just 1/128. The objective for designing training sequences is to minimize the entropy of the error between channel state and its estimator. Unlike the case with full length training sequences, where the training sequence design is formulated as a convex optimization problem with the available computational solution, the problem of short-length training sequence design is highly nonconvex and thus is very computationally challenging. Our main result is to develop a low-complexity iterative procedure for its solution. Simulations show the effectiveness of our methods.

Shi, Y, Tuan, HD & Su, S 1970, 'Nonconvex spectral algorithm for solving BMI on the reduced order H<inf>∞</inf> control', 2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), 2016 6th IEEE International Conference on Control System, Computing and Engineering (ICCSCE), IEEE, Batu Ferringhi, Malaysia, pp. 316-319.
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© 2016 IEEE. The design of reduced-order H∞ control can be transformed into an optimization problem with bilinear matrix inequality (BMI) constraints, which is an NP-hard problem. We propose a method to equivalently transfer the BMI constraint into a convex LMI constraint plus a matrix-rank constraint. The optimization with matrix-rank constraint is iteratively solved by a sequence of semidefinite programming (SDP) problems. Simulations on several benchmark systems show that our algorithm is practical and efficient.

Shi, Y, Tuan, HD, Su, SW & Savkin, AV 1970, 'Multiple Matrix Rank Constrained Optimization for Optimal Power Flow over Large Scale Transmission Networks', Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems, 5th International Conference on Smart Cities and Green ICT Systems, SCITEPRESS - Science and and Technology Publications, Rome, Italy, pp. 384-389.
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© Copyright 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.The optimal power flow (OPF) problem for power transmission networks is an NP-hard optimization problem with numerous quadratic equality and indefinite quadratic inequality constraints on bus voltages. The existing nonlinear solvers often fail in yielding a feasible solution. In this paper, we follow our previously developed nonsmooth optimization approach to address this difficult large-scale OPF problem, which is an iterative process to generate a sequence of improved solutions that converge to an optimal solution. Each iteration calls an SDP of a moderate dimension. Intensive simulations for OPF over networks with a large number of buses are provided to demonstrate the efficiency of our approach.

Shrestha, S, Gengfa Fang, Dutkiewicz, E & Xiaojing Huang 1970, 'Effect of CSI quantization on the average rate in MU-MIMO WLANs', 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC), IEEE, USA, pp. 824-828.
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© 2016 IEEE. In Multi-User Multiple Input Multiple Output (MU-MIMO) Wireless Local Area Networks (WLANs), the optimal-solution such as Dirty Paper Coding (DPC) or the sub-optimal solution Zeroforcing Beamforming (ZFB) with perfect Channel State Information (CSI), is practically limited due to the complexity and the non-availability of perfect CSI at the Access Points (APs)/transmitters. In such a context, ZFB based on channel quantization available at the APs (ZFQ) is the obvious choice for the Multi-User transmission strategy. However, since the quantized CSI is used instead of the perfect CSI at the APs, the quantization error and its impact on the average rate for ZFQ have to be quantified in MU-MIMO WLAN settings. In this paper, we derive a closed-form expression for the upper bound of the channel quantization error and the average rate reduction due to the quantization error with respect to the perfect CSI at the APs. In MU-MIMO WLAN settings, our analytical and numerical studies show that, with an increasing number of antennas at the clients, both the quantization error bound and the average rate reduction increase for ZFQ, in comparison to the ZFB with the perfect CSI.

Simorangkir, RBVB, Yang Yang, Esselle, KP, Matekovits, L & Abbas, SM 1970, 'A simple dual-band dual-mode antenna for off-/on-body centric communications', 2016 10th European Conference on Antennas and Propagation (EuCAP), 2016 10th European Conference on Antennas and Propagation (EuCAP), IEEE, Davos, SWITZERLAND.
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By utilizing inherently generated TM11 and TM02 modes of a patch antenna, a new dual-band dual-mode antenna is proposed for off-/on-body centric communication. The antenna consists of a simple probe-fed circular patch with a shorting pin and two arc-shaped slots, which are added to tune the resonances of the corresponding modes to the desired frequencies of 2.45 and 5.8 GHz. A broadside radiation pattern suitable for off-body communication and a monopole-like radiation pattern for on-body communication are thereby provided at each frequency, respectively. To determine the human body's effect on the antenna performance, a study has been conducted through simulations in both free space and on a human body-equivalent phantom. The results reveal a robust performance of the antenna against the human body loading, which indicates that the proposed antenna is a very promising candidate for body centric communications.

Simorangkir, RBVB, Yang, Y & Esselle, KP 1970, 'Double-layer embroidery strategy for fabrication of textile antennas with improved efficiency', 2016 17th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM), 2016 17th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM), IEEE, Montreal, QC, Canada.
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In this paper, two approaches in fabricating textile antennas with double-layer embroidery technique, as one of the way to increase the textile antennas' efficiency, are discussed and compared. In the first approach, a conductive thread is used for both the upper and lower (bobbin) threads, while in the second, the conductive thread is used only for the lower thread but the embroidery process is done twice. To study the effect of each approach, two embroidered rectangular patch antennas operating at 2.45 GHz ISM band were fabricated and measured. The embroidered layers were then placed on top of a 3.175 mm thick Rogers TMM3 substrate, tested, and compared with an etched copper version of the patch antenna. The results show that both approaches give a comparable radiation performance to the etched copper version with a slightly higher efficiency in the first one. However, the second approach allows faster and cost efficient fabrication

Siwakoti, YP & Blaabjerg, F 1970, 'A novel flying capacitor transformerless inverter for single-phase grid connected solar photovoltaic system', 2016 IEEE 7th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), 2016 IEEE 7th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), IEEE, Vancouver, BC, Canada.
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© 2016 IEEE.This paper proposes a new single-phase flying capacitor transformerless PV inverter for grid-connected photovoltaic (PV) systems. The neutral of the grid can be directly connected to the negative terminal of the source (PV). It consists of four power switches, one diode, one capacitor and a small filter at the output stage. A simple Unipolar Sinusoidal Pulse-Width Modulation (SPWM) technique is used to modulate the inverter to minimize switching loss, output current ripple and filter requirements. The main advantages of the new inverter topology are: (1) the negative polarity of the PV is directly connected to the grid, so no leakage current, (2) voltage stress of all switches are the same and equal to the dc-link voltage, (3) reactive power can be send to the grid, so no problem of reactive power compensation (4) peak of output ac voltage is equal to input dc-voltage (unlike NPC, ANPC and some topologies, which requires two times of the peak ac-voltage magnitude) and, (5) the flying capacitor charges every switching cycle, which reduces the size of the required capacitor with switching frequency. In addition, industry standard half bridge module can be used in the new inverter without any modification. Experimental results of 1 kW prototype are presented at the end of the paper to prove the concept and theoretical analysis of the proposed transformerless inverter. The peak efficiency of the inverter at a full load is 99.2%.

Siwakoti, YP, Blaabjerg, F & Loh, PC 1970, 'Ultra-step-up DC-DC converter with integrated autotransformer and coupled inductor', 2016 IEEE Applied Power Electronics Conference and Exposition (APEC), 2016 IEEE Applied Power Electronics Conference and Exposition (APEC), IEEE, Long Beach, CA, USA, pp. 1872-1877.
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© 2016 IEEE.This paper introduces a new single-switch nonisolated dc-dc converter with very high voltage transfer ratio and reduced semiconductor voltage stress. The converter utilizes an integrated autotransformer and a coupled inductor on the same core to achieve a high step-up voltage gain without extreme duty cycle. Further, an integrated passive regenerative circuit recycles the leakage energy of the coupled magnetics and transfer the leakage energy to the load, which helps to avoid high voltage spikes across the switch. This feature along with low stress on the switching device enables the designer to use a low voltage and low RDS-on MOSFET, which reduces the cost, and also the conduction and turn on losses of the switch. The principle of operation and theoretical analysis supported by key simulation and experimental waveforms are presented in details.

Siwakoti, YP, Blaabjerg, F, Chub, A & Vinnikov, D 1970, 'Quadratic boost A-source impedance network', 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE, Milwaukee, WI, USA.
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© 2016 IEEE. A novel quadratic boost A-source impedance network is proposed to realize converters that demand very high voltage gain. To satisfy the requirement, the network uses an autotransformer where the obtained gain is quadratically dependent on the duty ratio and is unmatched by any existing impedance source networks and normal DC-DC converters with coupled magnetics at the same duty ratio and turns ratio. The term 'Quadratic Boost A-Source' indicates its quadratic varying gain in the operating principle of the converter. The proposed converter draws a continuous current from the source and suits for many types of renewable sources. This capability has been demonstrated by mathematical derivation and proven in experiments with a single-switch 200 W, 40 kHz DC-DC converter.

Siwakoti, YP, Blaabjerg, F, Galigekere, VP & Kazimierczuk, MK 1970, 'A-source impedance network', 2016 IEEE Energy Conversion Congress and Exposition (ECCE), 2016 IEEE Energy Conversion Congress and Exposition (ECCE), IEEE, Milwaukee, WI, USA.
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© 2016 IEEE. A novel A-source impedance network is proposed in this paper using an autotransformer for realizing converters that demand a very high dc voltage gain. The network utilizes a minimal turns ratio compared to other Magnetically Coupled Impedance Source (MCIS) networks to attain high voltage gain. In addition, the proposed converter draws a continuous current from the source, and hence it is suitable for many types of renewable energy sources. This voltage boost capability has been demonstrated by mathematical derivations, and it is also realized in experiments with an example single-switch 50 kHz, 200 W DC-DC converter.

Subasinghage, K, Gunawardane, K, Lie, T & Kularatna, N 1970, 'Design concepts and preliminary implementations of dual output supercapacitor-assisted low-dropout regulators (DO-SCALDO)', Proceedings of the 2016 Australasian Universities Power Engineering Conference, AUPEC 2016.
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Supercapacitor-assisted low dropout regulators (SCALDO) technique has been developed to improve the end-toend efficiency of linear regulators by factor of 1.33 to 3. In this approach, a low frequency supercapacitor circulation stage is combined with a commercial LDO to achieve the overall efficiency improved design. After successful implementation of various SCALDO prototypes, practically useful further improvements for original concept were considered. Dual output (DO-SCALDO) has been suggested as an improvement to provide two output levels in a single design while maintaining the useful hallmarks of the original SCLADO approach. The new improvement: the DO-SCALDO technique, can generate dual output levels which are same or different. A circuit prototype of a 7V-to-dual-1.5 V DO-SCALDO was built and tested to prove the concept and summary of results are presented.

Subasinghage, K, Gunawardane, K, Lie, T & Kularatna, N 1970, 'Design of an efficiency improved dual-output DC-DC converter utilizing a supercapacitor circulation technique', 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC), 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC), IEEE.
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Subramanian, R, Sandrasegaran, K & Kong, X 1970, 'Benchmarking of real-time LTE network in dynamic environment', 2016 22nd Asia-Pacific Conference on Communications (APCC), 2016 22nd Asia-Pacific Conference on Communications (APCC), IEEE, Indonesia, pp. 20-25.
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LTE/LTE-A is high speed wireless communication technology which got evolved from 2G/3G. LTE provides very high throughput in uplink and downlink and hence it is attracting more and more subscribers every day. This paper analyzes the performance of real time LTE network of two different LTE service providers through drive test. Test cases were performed under dynamic environment where the test user is dynamic or the environment around the test user is dynamic (travelling in train or car). The performance comparison of different Key Performance Indicators (KPI) such as Reference Signal Received Power (RSRP), Reference Signal Received Quality (RSRQ), Reference Signal Strength Indicator (RSSI) and throughput (uplink - UL and downlink - DL) are made between the two LTE service providers. The performance tests were performed using Nemo tool in a real-time LTE network. Average values were obtained for different KPIs to study the performance of the LTE network.

Subramanian, R, Sandrasegaran, K & Kong, X 1970, 'Performance comparison of packet scheduling algorithms in LTE-A HetNets', 2016 22nd Asia-Pacific Conference on Communications (APCC), 2016 22nd Asia-Pacific Conference on Communications (APCC), IEEE, Indonesia, pp. 185-190.
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Performance comparison of various Packet Scheduling (PS) algorithms such as Proportional Fair (PF), Maximum Largest Weighted Delay First (MLWDF) and Exponential/Proportional Fair (EXP/PF) has been studied in HetNets environment. The performance indicators such as throughput, Packet Loss Ratio (PLR), delay and fairness are considered to judge the performance of the scheduling algorithms. Various strategies such as increasing the number of pico cells in the cell edge were used in the simulation for the performance evaluation study. The results achieved by various simulations show that adding the pico cells to the existing macros enhances the overall system performance in addition to various scheduling algorithms implemented in macros. Simulation results show that the overall system gain has increased by adding picos, provide better coverage in the cell edge and increase the capacity of the network to provide better Quality of Service (QoS). Furthermore, simulations show that MLWDF performs better for video traffic than compared to other with PS algorithms.

Teng, Q-F, Li, G-F, Zhu, J-G, Guo, Y-G & Li, S-Y 1970, 'ADRC-based model predictive torque control for PMSMs fed by three-phase four-switch inverters', 2016 35th Chinese Control Conference (CCC), 2016 35th Chinese Control Conference (CCC), IEEE, Chengdu, Sichuan Province, China, pp. 4550-4555.
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© 2016 IEEE.A novel automatic disturbances rejection control (ADRC)-based model predictive current control (MPCC) strategy is developed for permanent magnet synchronous motors (PMSMs) fed by three-phase four-switch inverters, an after-fault-topology for fault-tolerant three-phase six-switch inverters. The mathematical model of a PMSM fed by a three-phase four-switch inverter is built firstly. Then the ADRC and MPCC are respectively designed, with the former being used to realize disturbance estimation and disturbance compensation while the latter being used to reduce stator current ripple and improve the quality of the torque and speed control. The resultant ADRC-based MPCC PMSM fed by an unhealthy inverter has fault-tolerant effective with dynamical performance very close to an ADRC-based MPCC PMSM fed by a healthy inverter. On the other hand, compared with PI-based MPCC PMSM fed by an unhealthy inverter, it possesses better dynamical response behavior and stronger robustness as well as smaller THD index of three-phase stator current in the presence of variation of load torque. The simulation results validate the feasibility and effectiveness of the proposed scheme.

Teng, Q-F, Li, G-F, Zhu, J-G, Guo, Y-G & Li, S-Y 1970, 'ADRC-Based Model Predictive Torque Control for PMSMs fed by Three-Phase Four-Switch Inverters', PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 35th Chinese Control Conference (CCC), IEEE, Chengdu, PEOPLES R CHINA, pp. 4550-4555.

Townsend, CD, Aguilera, R, Acuna, P, Konstantinou, G, Pou, J, Mirzaeva, G & Goodwin, GC 1970, 'Capacitance minimization in modular multilevel converters: Using model predictive control to inject optimal circulating currents and zero-sequence voltage', 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC), 2016 IEEE 2nd Annual Southern Power Electronics Conference (SPEC), IEEE, Auckland, New Zealand, pp. 127DUMMY-127DUMMY.
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© 2016 IEEE. The superior harmonic performance of the modular multilevel converter facilitates reduction in passive filtering requirements. However, in practice, any volume and weight reduction brought about by using smaller filtering components, is offset by the increase in stored capacitor energy inside the converter. This paper proposes injection of high-frequency circulating currents and zero-sequence voltages, that significantly reduce capacitor voltage ripple. This can ultimately facilitate use of smaller capacitances. Optimal reference voltages and currents are designed off-line, with a model predictive control scheme used to track the references on-line while also compensating for any disturbances introduced by the practical system.

Tran, TT, Bray, K, Ford, MJ, Toth, M & Aharonovich, I 1970, 'Quantum Emission from Hexagonal Boron Nitride Monolayers', Optics InfoBase Conference Papers.
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We demonstrate first room temperature, and ultrabright single photon emission from a color center in two-dimensional multilayer hexagonal boron nitride. Density Functional Theory calculations indicate that vacancy-related centers are a likely source of the emission.

Tu, C & Lee, JE-Y 1970, 'Boosting the Quality Factor of Low Impedance VHF Piezoelectric-on-Silicon Lateral Mode Resonators Using Etch Holes', Procedia Engineering, Elsevier BV, pp. 1261-1264.
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Tu, C, Lee, JE-Y, Frank, A, Schaffel, C, Stehr, U & Hein, M 1970, 'Probing anchor losses in AlN-on-Si contour mode MEMS resonators through laser Doppler vibrometry', 2016 IEEE SENSORS, 2016 IEEE SENSORS, IEEE.
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Tuan, HD, Ngo, DT & Minh Tam, HH 1970, 'Joint power allocation for MIMO-OFDM communication with full-duplex relaying', 2016 10th International Conference on Signal Processing and Communication Systems (ICSPCS), 2016 10th International Conference on Signal Processing and Communication Systems (ICSPCS), IEEE, Gold Coast, Australia, pp. 1-7.
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© 2016 IEEE. We address the problem of joint power allocation in a two-hop MIMO-OFDM link where a source node sends data to a destination node via an amplify-and-forward relay. Since the relay operates in the full-duplex mode, it receives and forwards data simultaneously. Our design objective is to maximize the end-to-end throughput, subject to either the joint sum-power constraint of both the source and the relay or the individual sum-power constraints at the source and the relay. The formulated problems are large-scale nonconvex optimization problems, for which efficient and optimal solutions are not available. Using the successive convex optimization approach, we develop a novel iterative algorithm of extremely low complexity that is especially suitable for large-scale computation. In each iteration, a simple closed-form solution is derived for the approximated convex program. The proposed algorithm is proved to always converge to at least a local optimum of the original nonconvex problems. Numerical results confirm that the devised algorithm converges quickly, and that our optimal power allocation solutions help realize the potential throughput gain of MIMO-OFDM full-duplex relaying over the conventional half-duplex relaying strategy.

Ullah, A, Lie, TT, Gunawardane, K & Nair, NKC 1970, 'Development of browne's arc model for HTS applications', 2016 IEEE International Conference on Power System Technology (POWERCON), 2016 IEEE International Conference on Power System Technology (POWERCON), IEEE.
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Usman, M, Jan, MA, He, X & Nanda, P 1970, 'Data Sharing in Secure Multimedia Wireless Sensor Networks', 2016 IEEE Trustcom/BigDataSE/ISPA, 2016 IEEE Trustcom/BigDataSE/I​SPA, IEEE, Tianjin, China, pp. 590-597.
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© 2016 IEEE. The use of Multimedia Wireless Sensor Networks (MWSNs) is becoming common nowadays with a rapid growth in communication facilities. Similar to any other WSNs, these networks face various challenges while providing security, trust and privacy for user data. Provisioning of the aforementioned services become an uphill task especially while dealing with real-time streaming data. These networks operates with resource-constrained sensor nodes for days, months and even years depending on the nature of an application. The resource-constrained nature of these networks makes it difficult for the nodes to tackle real-time data in mission-critical applications such as military surveillance, forest fire monitoring, health-care and industrial automation. For a secured MWSN, the transmission and processing of streaming data needs to be explored deeply. The conventional data authentication schemes are not suitable for MWSNs due to the limitations imposed on sensor nodes in terms of battery power, computation, available bandwidth and storage. In this paper, we propose a novel quality-driven clustering-based technique for authenticating streaming data in MWSNs. Nodes with maximum energy are selected as Cluster Heads (CHs). The CHs collect data from member nodes and forward it to the Base Station (BS), thus preventing member nodes with low energy from dying soon and increasing life span of the underlying network. The proposed approach not only authenticates the streaming data but also maintains the quality of transmitted data. The proposed data authentication scheme coupled with an Error Concealment technique provides an energy-efficient and distortion-free real-time data streaming. The proposed scheme is compared with an unsupervised resources scenario. The simulation results demonstrate better network lifetime along with 21.34 dB gain in Peak Signal-to-Noise Ratio (PSNR) of received video data streams.

Veitch, D 1970, 'Past Present and Future of Scaling Behaviour in Telecommunications Networks', The University of Melbourne, Australia..

Veitch, D & Vijayalayan, K 1970, 'Network Timing and the 2015 Leap Second', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Passive and Active Measurement (PAM), Springer International Publishing, Heraklion, Greece, pp. 385-396.
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© Springer International Publishing Switzerland 2016.Using a testbed with reference timestamping, we collected timing data from public Stratum-1 NTP servers during the leap second event of end-June 2015. We found a wide variety of anomalous serverside behaviors, both at the NTP protocol level and in the server clocks themselves, which can last days or even weeks after the event. Out of 176 servers, only 61% had no erroneous behavior related to the leap second event that we could detect.

Vijayalayan, K & Veitch, D 1970, 'Rot at the roots? Examining public timing infrastructure', IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016 - IEEE Conference on Computer Communications, IEEE, USA.
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© 2016 IEEE.Timekeeping is central to network measurement. In typical systems, its accuracy is ultimately dependent on the forest of timeservers accessible over the network, whose roots are the stratum-1 timeservers, which benefit from reference hardware. It is essential that these servers are accurate and reliable, and it is commonly assumed that this is the case. We put this belief to the test through an examination of around 100 publicly accessible stratum-1 servers, using datasets spanning over 3 years, collected in a testbed with reference timestamping. We develop a methodology capable of disambiguating the effects of routing changes, congestion related variability, and server anomalies on timestamps. We use it to make a first assessment of the health of (public) network timing, by reporting on the type, severity, and frequency of anomalies we encounter.

Wang, H, Dutkiewicz, E, Fang, G & Mueck, MD 1970, 'A fair spectrum sharing framework based on topological sort and max weight for femtocells', 2016 Australian Communications Theory Workshop (AusCTW), 2016 Australian Communications Theory Workshop (AusCTW), IEEE, Monash University, Australia.
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Femto base stations will be widely deployed in 5G times for compensating poor cellular coverage for use in residential or small business environments. In this paper, we propose a spectrum sharing framework, where a cluster of femtocells are under the control of a centralized local manager. The framework assumes that each femto base station has the sniffing ability that can detect its neighbor femtocells and the controller can then have complete knowledge of local interference constraints. Unlike distributed WiFi that runs on unlicensed band, the femtocell owned by a carrier runs on licensed band and the carrier prefers a centralized system to a distributed one. Therefore, a fair spectrum sharing policy on the licensed band is more important among carriers to break the monopoly and inefficient spectrum allocation. Considering the spectrum can be spatial reused, an interference graph is adopted to avoid the interference between femtocells of all the carriers. We test the framework not only by comparing the average number of channels per user can get but also the variance to guarantee the fairness. In this framework, the scheme combining topological sort and maximum traffic load of femtocell contributes to keep a better balance on the average number of channels and variance.

Wang, R, Thakur, CS, Hamilton, TJ, Tapson, J & van Schaik, A 1970, 'A stochastic approach to STDP', 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2016 IEEE International Symposium on Circuits and Systems (ISCAS), IEEE, pp. 2082-2085.
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© 2016 IEEE. We present a digital implementation of the Spike Timing Dependent Plasticity (STDP) learning rule. The proposed digital implementation consists of an exponential decay (exp-decay) generator array and a STDP adaptor array. The weight values are stored in a digital memory, and the STDP adaptor w ill send these values to the exp-decay generator using a digital spike of which the duration is modulated according to these values. The exp-decay generator will then generate an exponential decay, which will be used by the STDP adaptor for performing the weight adaption. The exponential decay, which is computational expensive, is efficiently implemented by using a novel stochastic approach. This stochastic approach was fully analysed and characterised. We use a time multiplexing approach to achieve 8192 (8k) virtual STDP adaptors and exp-decay generators with only one physical adaptor and exp-decay generator respectively. We have validated our stochastic STDP approach with measurement results of a balanced excitation experiment. In that experiment, the competition (induced by STDP) between the synapses can establish a bimodal distribution of the synaptic weights: either towards zero (weak) or the maximum (strong) values. Our stochastic approach is therefore ideal for implementing the STDP learning rule in large-scale spiking neural networks running in real time.

Wang, X, Zheng, K, Niu, X, Wu, B & Wu, C 1970, 'Detection of command and control in advanced persistent threat based on independent access', 2016 IEEE International Conference on Communications (ICC), ICC 2016 - 2016 IEEE International Conference on Communications, IEEE, pp. 1-6.
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© 2016 IEEE. Advanced Persistent Threat (APT) imposes increasing threats on cyber security with the developing network attack technologies. APT is a highly interactive, specifically targeted and extremely harmful network-centric attack, which employs various technologies to evade detection during attacks leading to the result that victims will not be aware of attacks until they suffer from tremendous losses. Since command and control (C&C) is an essential component during the lifetime of APT, the detection of it is a practical measure to defend against the APT. In this paper, we analyze the features of C&C in APT and find that the HTTP-based C&C is widely used. Based on the analysis results, we propose a new feature of C&C, i.e., independent access, to characterize the difference between C&C communications and normal HTTP requests. Applying the independent access feature into DNS records, we implement a novel C&C detection method and validate it on public dataset. As a new feature of C&C, its advantages and drawbacks are also analyzed.

Wang, Z & Piccardi, M 1970, 'A pair hidden Markov support vector machine for alignment of human actions', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle, WA, USA.
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Alignment of human actions in videos is an important task for applications such as action comparison and classification. While well-established algorithms such as dynamic time warping are available for this task, they still heavily rely on basic linear cost models and heuristic parameter tuning. In this paper we propose a novel framework that combines the flexibility of the pair hidden Markov model (PHMM) with the effective parameter training of the structural support vector machine (SSVM). The framework extends the scoring function of SSVM to capture the similarity of two input sequences and introduces suitable feature and loss functions. The proposed approach is evaluated against state-of-the-art algorithms such as dynamic time warping (DTW) and canonical time warping (CTW) on pairs of human actions from the Weizmann and Olympic Sports datasets. The experimental results show that the proposed approach is capable of achieving an accuracy improvement of over 7 percentage points over the runner-up on both datasets.

Wu, L, Wang, J, Zhu, G, Xu, M & Lu, H 1970, 'Person re-identification via rich color-gradient feature', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle, USA, pp. 1-6.
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© 2016 IEEE. Person re-identification refers to match the same pedestrian across disjoint views in non-overlapping camera networks. Lots of local and global features in the literature are put forward to solve the matching problem, where color feature is robust to viewpoint variance and gradient feature provides a rich representation robust to illumination change. However, how to effectively combine the color and gradient features is an open problem. In this paper, to effectively leverage the color-gradient property in multiple color spaces, we propose a novel Second Order Histogram feature (SOH) for person reidentification in large surveillance dataset. Firstly, we utilize discrete encoding to transform commonly used color space into Encoding Color Space (ECS), and calculate the statistical gradient features on each color channel. Then, a second order statistical distribution is calculated on each cell map with a spatial partition. In this way, the proposed SOH feature effectively leverages the statistical property of gradient and color as well as reduces the redundant information. Finally, a metric learned by KISSME [1] with Mahalanobis distance is used for person matching. Experimental results on three public datasets, VIPeR, CAVIAR and CUHK01, show the promise of the proposed approach.

Wu, S, Jing, X-Y, Yue, D, Zhang, J, Yang, KJ & Yang, J 1970, 'Unsupervised visual domain adaptation via dictionary evolution', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle, Washington, United States.
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© 2016 IEEE. In real-word visual applications, distribution mismatch between samples from different domains may significantly degrade classification performance. To improve the generalization capability of classifier across domains, domain adaptation has attracted a lot of interest in computer vision. This work focuses on unsupervised domain adaptation which is still challenging because no labels are available in the target domain. Most of the attention has been dedicated to seeking domain-invariant feature by exploring the shared structure between domains, ignoring the valuable discriminative information contained in the labeled source data. In this paper, we propose a Dictionary Evolution (DE) approach to construct discriminative features robust to domain shift. Specifically, DE aims to adapt a discriminative dictionary learnt based on labeled source samples to unlabeled target samples through a gradual transition process. We show that the learnt dictionary is endowed with cross-domain data representation ability and powerful discriminant capability. Empirical results on real world data sets demonstrate the advantages of the proposed approach over competing methods.

Xu, W, Duan, N, Wang, S & Zhu, J 1970, 'A temperature-dependent hysteresis model for soft ferrites based on a vectorial elemental operator', 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), IEEE, Miami, FL, USA, pp. 1-1.
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© 2016 IEEE. This paper introduces a temperature dependent hysteresis model based on a vectorial elemental operator with temperature-sensitive spontaneous magnetization and biaxial anisotropy for the soft ferrites. This model is validated by the substantial agreement between the simulated and measured major hysteresis loops of a soft ferrite sample at different temperatures.

Xu, W, Duan, N, Wang, S & Zhu, J 1970, 'Modelling of magnetic properties in soft magnetic composite material under rotational magnetization', 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), 2016 IEEE Conference on Electromagnetic Field Computation (CEFC), IEEE, Miami, FL, USA, pp. 1-1.
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© 2016 IEEE. This paper proposes a vectorial magnetic hysteresis model based on a vectorial elemental operator and its distribution function to represent the magnetization mechanisms of soft magnetic materials. The magnetic hysteresis of a soft magnetic composite material under rotational magnetization is simulated and compared with the experimental results.

Yang, X, Zhao, G, Hu, W, Guo, YJ, Yin, YZ & Bah, AO 1970, 'Characteristics of wideband phased array with two-layer metasurface', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, Australia, pp. 852-855.
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© 2016 IEEE. The agile beam scanning ability is attractive feature of phased array over traditional mechanical array, but it is difficult to achieve perfect impedance matching in all the directions. Furthermore, phased array capable of wideband operation is desired in multi-function radar and modern communication systems. In this paper, a wideband tightly coupled array models equipped with two-layer metasurface is presented and its characteristics are investigated. The metasurface consists of two substrates each printed with different periodic metallic patches to accommodate wideband and wide angle applications. The results show that, with the assistance of this artificial metasurface, the phased array can operate over a 5:1 ratio impedance bandwidth (VSWR<3) and the scanning angle is as large as 45°.

Yang, Y, Zhu, X & Heimlich, MC 1970, 'A broadside-coupled meander-line resonator (BCMLR) for ultra-compact millimeter-wave MMIC designs in 0.13μm SiGe technology', 2016 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM), 2016 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM), IEEE, Nanjing, PEOPLES R CHINA.
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Ye, L, Cao, K, Guo, YJ, Huang, X, Beadle, P, Argha, A, Piccardi, M, Zhang, G & Su, SW 1970, 'Inertial Sensor based Post Fall Analysis for False Alarming Reduction', Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, ACTAPRESS, Zurich, Switzerland, pp. 36-43.
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One of the major public health problems among elderly people is falling injury. This study investigates fall detection and prevention by using inertial sensors for which the major existing challenging is how to significantly reduce false alarming in order to enhance the acceptance of elderly users during rehabilitation and daily exercises. Different from most existing approaches in the literature, the behavior after falling will be analyzed in details, which can not only greatly reduce false alarming, but also significantly improves the accuracy of the assessment of the severity of falling injuries.

Ye, L, Su, SW, Lei, D & Nguyen, HT 1970, 'An online recursive autocalibration of triaxial accelerometer', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, Florida, USA, pp. 2038-2041.
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In this paper, we proposed a novel method for autocalibration of triaxial Micro-Electro-Mechanical systems (MEMS) accelerometer that does not require any sophisticated laboratory facilities. In particular, this method is an online calibration method which can be conveniently implemented with the accuracy of MEMS accelerometer being significantly improved. The procedure exploits the fact that the output vector of the accelerometer must match the local gravity in static state condition. To achieve online calibration, the model as well as the cost function are linearized at the beginning, and an online recursive method is then utilized to identify the unknown parameters and remove the bias caused by linearization. This online recursive method is based on damped recursive least square estimation (DRLS), which can significantly reduce the calculation complexity comparing to nonlinear optimization method. In addition, the unknown parameters can be solved in a short time and the estimated parameters can remain stable during calibration. Experimentally, this method was tested by comparing the output results before and after calibration in different condition. It showed that the output, after calibrated by the proposed method, is more accurate with respect to raw output using default factory parameters.

Zhang, C, Tong, W, Ma, X, Tang, R & Zhu, J 1970, 'Development of a High-Speed Permanent Magnet Machine Using Amorphous Alloy Cores', 2016 IEEE Vehicle Power and Propulsion Conference (VPPC), 2016 IEEE Vehicle Power and Propulsion Conference (VPPC), IEEE, Hangzhou, China, pp. 1-5.
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© 2016 IEEE.This paper details the design of high-speed permanent magnet machine made of amorphous alloy core. The motor is rated as 15kW, and base speed is 20000rpm. A multidisciplinary approach is used to optimize the machine. The select of pole-slot numbers is presented in this paper. The effect of converter switching frequency on the machine is analyzed. Meanwhile, the mechanical properties of rotor is analyzed. The machine is prototyped and tested to validate the analytical-computational performances predicted in the design and analysis stage.

Zhang, G & Heusdens, R 1970, 'On simplifying the primal-dual method of multipliers', 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Shanghai, China, pp. 4826-4830.
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Recently, the primal-dual method of multipliers (PDMM) has been proposed to solve a convex optimization problem defined over a general graph. In this paper, we consider simplifying PDMM for a subclass of the convex optimization problems. This subclass includes the consensus problem as a special form. By using algebra, we show that the update expressions of PDMM can be simplified significantly. We then evaluate PDMM for training a support vector machine (SVM). The experimental results indicate that PDMM converges considerably faster than the alternating direction method of multipliers (ADMM).

Zhang, G & Piccardi, M 1970, 'Sequential Labeling with Structural SVM Under an Average Precision Loss', Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop on Structural and Syntactic Pattern Recognition (SSPR) / International Workshop on Statistical Techniques in Pattern Recognition (SPR), Springer International Publishing, Mérida, Mexico, pp. 344-354.
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© Springer International Publishing AG 2016.The average precision (AP) is an important and widelyadopted performance measure for information retrieval and classification systems. However, owing to its relatively complex formulation, very few approaches have been proposed to learn a classifier by maximising its average precision over a given training set. Moreover, most of the existing work is restricted to i.i.d. data and does not extend to sequential data. For this reason, we herewith propose a structural SVM learning algorithm for sequential labeling that maximises an average precision measure. A further contribution of this paper is an algorithm that computes the average precision of a sequential classifier at test time, making it possible to assess sequential labeling under this measure. Experimental results over challenging datasets which depict human actions in kitchen scenarios (i.e., TUM Kitchen and CMU Multimodal Activity) show that the proposed approach leads to an average precision improvement of up to 4.2 and 5.7% points against the runner-up, respectively.

Zhang, H & Xu, M 1970, 'Modeling temporal information using discrete fourier transform for recognizing emotions in user-generated videos', 2016 IEEE International Conference on Image Processing (ICIP), 2016 IEEE International Conference on Image Processing (ICIP), IEEE, Phoenix, Arizona, USA, pp. 629-633.
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With the widespread of user-generated Internet videos, emotion recognition in those videos attracts increasing research efforts. However, most existing works are based on framelevel visual features and/or audio features, which might fail to model the temporal information, e.g. characteristics accumulated along time. In order to capture video temporal information, in this paper, we propose to analyse features in frequency domain transformed by discrete Fourier transform (DFT features). Frame-level features are firstly extract by a pre-trained deep convolutional neural network (CNN). Then, time domain features are transferred and interpolated into DFT features. CNN and DFT features are further encoded and fused for emotion classification. By this way, static image features extracted from a pre-trained deep CNN and temporal information represented by DFT features are jointly considered for video emotion recognition. Experimental results demonstrate that combining DFT features can effectively capture temporal information and therefore improve emotion recognition performance. Our approach has achieved a state-of-the-art performance on the largest video emotion dataset (VideoEmotion-8 dataset), improving accuracy from 51.1% to 55.6%.

Zhang, J, Guo, Y & Huang, X 1970, 'Framework of Joint Communications and Sensing Using Two Phased Antenna Arrays', Future Land Force Conference, Future Land Force Conference, Adelaide, Australia.

Zhang, J, Li, L & Dorrell, DG 1970, 'D-q coupling suppressed PID controller for the transmission line power flow control using a matrix converter', IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, IEEE, Florence, Italy, pp. 6249-6254.
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© 2016 IEEE.This work designs a d-q coupling-suppressed PID controller for the transmission line power flow control using a matrix converter. Matrix converters are used as the power flow controller to regulate the active and reactive power flowing through a transmission line in a power system since there is no bulky energy storage element in this structure. Therefore, the volume is reduced, efficiency increased, and lifetime prolonged. Direct and indirect space vector modulation are investigated and compared. Afterwards, a PID controller is designed to control the power flow. By introducing coupling components into the controller, the coupling effects in the system are suppressed. The proposed strategy can control the active and reactive power efficiently and effectively. Controllable power regions are also obtained. MATLAB/Simulink simulations verify the feasibility and effectiveness of the proposed scheme. An experimental prototype is being developed in order to support the proposition.

Zhang, J, Zhang, J, Lu, J, Shen, C, Curr, K, Phua, R, Neville, R & Edmonds, E 1970, 'SLNSW-UTS: A Historical Image Dataset for Image Multi-Labeling and Retrieval', 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, Gold Coast, Australia, pp. 1-6.
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© 2016 IEEE.This paper introduces a dataset of historical images created by the State Library of New South Wales and the University of Technology Sydney (UTS). The dataset has a total of 29713 images with 119 unique labels. Each image contains multiple labels. We use a CNN-based framework to explore the feasibility of our dataset in image multi-labeling and retrieval research, and extract semantic level image features for future research use. The experiment results illustrate that effective deep learning models can be trained on our dataset. We also introduce five applications that can be studied on our historical image dataset.

Zhang, JA, Hay, S & Guo, YJ 1970, 'Directional antennas for point-to-multipoint millimetre wave communications', 2016 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC), 2016 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC, IEEE, Cairns, QLD, 2016, pp. 204-207.
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© 2016 IEEE. In this paper, we investigate the feasibility and potential performance of applying an antenna array of directional elements such as horn antennas for mmWave point-to-multipoint communications. We propose a conceptual design of the array, and review options for antenna elements and mechanical steering devices. We then estimate the achievable performance with respect to link data rate and distance, and show that pointing to users exactly does not always achieve system capacity, but the gap is typically small. We also provide comparison for two types of multiple access schemes.

Zhang, JW, Li, L & Dorrell, DG 1970, 'Applications of the Direct Space Vector Modulation Controlled Matrix Converter as the Unified Power Flow Controller', 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016), 8th IET International Conference on Power Electronics, Machines and Drives (PEMD 2016), Institution of Engineering and Technology, Liverpool, UK, pp. 1-6.
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© 2016, Institution of Engineering and Technology. All rights reserved. This paper investigates the matrix converter when working as the unified power flow controller which can regulate the active reactive power flowing in a transmission line. A conventional unified power flow controller usually has a DC capacitor; this is removed in the proposed controller. This reduces the volume, improves the efficiency and lifetime, and eliminates the DC voltage control. The detailed direct space vector modulation method for the matrix converter is described. Based on this modulation scheme, a PID controller is designed in order to control the power flow. Coupling effects are suppressed by feedback of the coupling components to the controller. The proposed strategy can control the active and reactive power efficiently and effectively. Simulations based on MATLAB/Simulink help verify the feasibility and effectiveness of the scheme.

Zhang, T, Su, S & Nguyen, HT 1970, 'The hybrid bio-inspired aerial vehicle: Concept and SIMSCAPE flight simulation', 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, Orlando, Florida, USA, pp. 2107-2110.
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© 2016 IEEE. This paper introduces a Silver Gull-inspired hybrid aerial vehicle, the Super Sydney Silver Gull (SSSG), which is able to vary its structure, under different manoeuvre requirements, to implement three flight modes: the flapping wing flight, the fixed wing flight, and the quadcopter flight (the rotary wing flight of Unmanned Air Vehicle). Specifically, through proper mechanism design and flight mode transition, the SSSG can imitate the Silver Gull's flight gesture during flapping flight, save power consuming by switching to the fixed wing flight mode during long-range cruising, and hover at targeted area when transferring to quadcopter flight mode. Based on the aerodynamic models, the Simscape, a product of MathWorks, is used to simulate and analyse the performance of the SSSG's flight modes. The entity simulation results indicate that the created SSSG's 3D model is feasible and ready to be manufactured for further flight tests.

Zhao, S, Cheng, E, Qiu, X, Burnett, I & Liu, JCC 1970, 'Estimation of the frequency boundaries of the inertial range for wind noise spectra in anechoic wind tunnels', 2nd Australasian Acoustical Societies Conference, ACOUSTICS 2016, Conference of the Australian Acoustical Society, AAS, Brisbane, Australia, pp. 1187-1196.
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Wind noise generated by the intrinsic turbulence in the flow can affect outdoor noise measurements. Various attempts have been made to investigate the wind noise generation mechanism. Wind noise spectra in anechoic wind tunnels can be divided into three frequency regions: In the low frequency region known as the energy-containing range, the wind noise spectrum does not change significantly with frequency. In contrast, in the middle frequency region (or inertial range) the decay rate of the wind noise spectrum curve follows the -7/3 power law, but in the high frequency region (or dissipation range) the decay rate of the wind noise spectrum curve is faster than the -7/3 power law. The boundaries of the -7/3 power law frequency range depend on the Reynolds number; however, no exact value is known according to current literature. This paper proposes a method for predicting the boundary values based on the energy cascade theory. Large eddy simulations of free jet were performed to validate the proposed method and the results were found to be in reasonable agreement with existing experiment measurements obtained in an anechoic wind tunnel. Additional simulations were also conducted with different inflow entrance sizes to further verify the predictions from the proposed method.

Zhao, Y, Di, H, Zhang, J, Lu, Y & Lv, F 1970, 'Recognizing human actions from low-resolution videos by region-based mixture models', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle, Washington, United States.
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© 2016 IEEE. Recognizing human action from low-resolution (LR) videos is essential for many applications including large-scale video surveillance, sports video analysis and intelligent aerial vehicles. Currently, state-of-the-art performance in action recognition is achieved by the use of dense trajectories which are extracted by optical flow algorithms. However, the optical flow algorithms are far from perfect in LR videos. In addition, the spatial and temporal layout of features is a powerful cue for action discrimination. While, most existing methods encode the layout by previously segmenting body parts which is not feasible in LR videos. Addressing the problems, we adopt the Layered Elastic Motion Tracking (LEMT) method to extract a set of long-term motion trajectories and a long-term common shape from each video sequence, where the extracted trajectories are much denser than those of sparse interest points(SIPs); then we present a hybrid feature representation to integrate both of the shape and motion features; and finally we propose a Region-based Mixture Model (RMM) to be utilized for action classification. The RMM models the spatial layout of features without any needs of body parts segmentation. Experiments are conducted on two publicly available LR human action datasets. Among which, the UT-Tower dataset is very challenging because the average height of human figures is only about 20 pixels. The proposed approach attains near-perfect accuracy on both of the datasets.

Zheng, Z, Sun, D & Zhu, J 1970, 'Torque Ripple Suppression of Open-Winding PMSMs by Current Injection Considering Magnetic Saturation', 2016 IEEE Vehicle Power and Propulsion Conference (VPPC), 2016 IEEE Vehicle Power and Propulsion Conference (VPPC), IEEE, Hangzhou, China, pp. 1-5.
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This paper proposes a modified harmonic currents injection strategy for permanent magnet synchronous motors (PMSMs) with open winding topology to suppress torque ripples considering magnetic saturation. Harmonic current injection strategy is commonly used to reduce torque ripples generated by interaction between non-sinusoidal flux linkage and sinusoidal current. However, the influence of magnetic saturation, which is one of the major causes of flux linkage and back-EMF distortion, is not considered by the current control schemes. In this paper, a modified harmonic current injection strategy is proposed to adapt magnetic saturation condition. It is demonstrated by numerical simulation results that the proposed harmonic compensation method can effectively reduce the torque ripples.

Zhou, T, Lu, Y, Di, H & Zhang, J 1970, 'Video object segmentation aggregation', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle.
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© 2016 IEEE. We present an approach for unsupervised object segmentation in unconstrained videos. Driven by the latest progress in this field, we argue that segmentation performance can be largely improved by aggregating the results generated by state-of-the-art algorithms. Initially, objects in individual frames are estimated through a per-frame aggregation procedure using majority voting. While this can predict relatively accurate object location, the initial estimation fails to cover the parts that are wrongly labeled by more than half of the algorithms. To address this, we build a holistic appearance model using non-local appearance cues by linear regression. Then, we integrate the appearance priors and spatio-temporal information into an energy minimization framework to refine the initial estimation. We evaluate our method on challenging benchmark videos and demonstrate that it outperforms state-of-the-art algorithms.

Zhu, H, Tu, C & Lee, JE-Y 1970, 'High-Q low impedance UHF-band ALN-ON-SI mems resonators using quasi-symmetrical Lamb wave modes', 2016 IEEE 29th International Conference on Micro Electro Mechanical Systems (MEMS), 2016 IEEE 29th International Conference on Micro Electro Mechanical Systems (MEMS), IEEE.
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Zhu, HL, Cheung, SW, Guo, YJ, Can Ding & Yuk, TI 1970, 'Aperture efficiency improvement using metasurface', 2016 10th European Conference on Antennas and Propagation (EuCAP), 2016 10th European Conference on Antennas and Propagation (EuCAP), IEEE, Davos, Switzerland.
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© 2016 European Association of Antennas and Propagation. A method to improve the aperture efficiency of antennas using a non-uniform metasurface (MS) is studied in this paper. For illustration, a patch antenna and a planar MS having unit cells of square patches with different sizes are used. The sizes of the square patches on the MS follow a radial gradient index function. The aperture efficiencies of the patch antenna and the antenna using the MS are compared. For easy comparison, the patch antenna is designed to have an aperture size of λ0×λ0, where the λ0 is wavelength at the operating frequency in free space. Simulation results show that, by placing the MS atop the patch antenna with a separating distance of 35 mm, the directivity of the patch antenna can be increased from 9.7 dBi to 11.6 dBi. With the aperture size remains unchanged, the aperture efficiency of the patch antenna is increased by more than 100%.

Zhu, X, Yang, Y & Liu, H 1970, 'Cell-based wideband variable-gain amplifier with accurate gain adjustment in 65 nm CMOS technology', 2016 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM), 2016 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM), IEEE, Nanjing, PEOPLES R CHINA.
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Zhu, X, Yang, Y & Xue, Q 1970, 'Design of an Integrated on-chip bandpass filter using inverse-coupled resonator', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, Queensland, Australia, pp. 860-862.
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© 2016 IEEE. This paper presents an Integrated on-chip bandpass filter design using an inverse-coupled resonator. Both the resonator and bandpass filter are designed and fabricated in a standard silicon-germanium technology. The designed resonator is based on a unique structure, which consists of two broadside-coupled meander lines with opposite orientation. Using this structure along with capacitors, the bandpass filter is designed. The measured results show that the BPF has a center frequency at 31 GHz and insertion loss of 2.5 dB. The chip size of the BPF, excluding the pads, is only 0.024 mm2 (0.09 × 0.27 mm2), which the most compact one among the other state-of-the-art designs.

Zhu, X, Yang, Y, Chakraborty, S, Sevimli, O, Esselle, KP, Heimlich, M & Xue, Q 1970, 'An ultra-compact integrated millimeter-wave coupled-line resonator and a bandpass filter in silicon-germanium technology', 2016 IEEE MTT-S International Microwave Symposium (IMS), 2016 IEEE/MTT-S International Microwave Symposium (IMS), IEEE, San Francisco, CA, USA, pp. 1-4.
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© 2016 IEEE. An ultra-compact integrated resonator and bandpass filters (BPF), in silicon-based technology, are presented for millimetre-wave applications. The resonator consists of two broadside-coupled lines in opposite orientations. Using this resonator, a first-order and a second-order BPFs were also designed. To prove the concept, three prototypes of each of the resonator and the first-order BPF were fabricated using a standard 0.13-μm SiGe process. The measured results show that the resonator has an attenuation of 13.7 dB at the resonance frequency of 57 GHz, while the BPF has a centre frequency of 31 GHz and an insertion loss of only 2.4 dB. Excluding the pads, the chip size of both the resonator and the BPF is extremely compact, only 0.024 mm2 that is equivalent to 0.001 λg2. The unloaded Q factor of the filter is higher than other state-of-the-art designs.

Zuo, Y, Wu, Q, An, P & Zhang, J 1970, 'Explicit measurement on depth-color inconsistency for depth completion', 2016 IEEE International Conference on Image Processing (ICIP), 2016 IEEE International Conference on Image Processing (ICIP), IEEE, Phoenix, AZ, USA, pp. 4037-4041.
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© 2016 IEEE. Color-guided depth completion is to refine depth map through structure light sensing by filling missing depth structure and de-nosing. It is based on the assumption that depth discontinuity and color edge at the corresponding location are consistent. Among all proposed methods, MRF-based method including its variants is one of major approaches. However, the assumption above is not always true, which causes texture-copy and depth discontinuity blurring artifacts. The state-of-the-art solutions usually are to modify the weighting inside smoothness term of MRF model. Because there is no any method explicitly considering the inconsistency occurring between depth discontinuity and the corresponding color edge, they cannot adaptively control the effect of guidance from color image when completing depth map. In this paper, we propose quantitative measurement on such inconsistency and explicitly embed it into weighting value of smoothness term. The proposed method is evaluated on NYU Kinect datasets and demonstrates promising results.

Zuo, Y, Wu, Q, Zhang, J & An, P 1970, 'Explicit modeling on depth-color inconsistency for color-guided depth up-sampling', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, USA.
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© 2016 IEEE. Color-guided depth up-sampling is to enhance the resolution of depth map according to the assumption that the depth discontinuity and color image edge at the corresponding location are consistent. Through all methods reported, MRF including its variants is one of major approaches, which has dominated in this area for several years. However, the assumption above is not always true. Solution usually is to adjust the weighting inside smoothness term in MRF model. But there is no any method explicitly considering the inconsistency occurring between depth discontinuity and the corresponding color edge. In this paper, we propose quantitative measurement on such inconsistency and explicitly embed it into weighting value of smoothness term. Such solution has not been reported in the literature. The improved depth up-sampling based on the proposed method is evaluated on Middlebury datasets and ToFMark datasets and demonstrate promising results.

Bluff, AJ & Johnston, AJ 2016, 'Creature: A Retelling of Dot and the Kangaroo', Queensland Performing Arts Centre.

Afshar, S, Cohen, G, Hamilton, TJ, Tapson, J & Schaik, AV 2016, 'Investigation of event-based memory surfaces for high-speed tracking, unsupervised feature extraction and object recognition'.

Chalapathy, R, Borzeshi, EZ & Piccardi, M 2016, 'An Investigation of Recurrent Neural Architectures for Drug Name Recognition'.

Chalapathy, R, Borzeshi, EZ & Piccardi, M 2016, 'Bidirectional LSTM-CRF for Clinical Concept Extraction'.

Chalapathy, R, Borzeshi, EZ & Piccardi, M 2016, 'Bidirectional LSTM-CRF for Clinical Concept Extraction'.

Choi, S, Tran, TT, ElBadawi, C, Lobo, C, Wang, X, Juodkazis, S, Seniutinas, G, Toth, M & Aharonovich, I 2016, 'Engineering and localization of quantum emitters in large hexagonal boron nitride layers'.

Every, J, Li, L, Guo, YG & Dorrell, DG 2016, 'Maximizing Investment Value of Small-Scale PV in a Smart Grid Environment'.

Schell, AW, Tran, TT, Takashima, H, Takeuchi, S & Aharonovich, I 2016, 'Non-linear excitation of quantum emitters in two-dimensional hexagonal boron nitride'.

Tran, TT, Choi, S, Scott, JA, Xu, Z-Q, Zheng, C, Seniutinas, G, Bendavid, A, Fuhrer, MS, Toth, M & Aharonovich, I 2016, 'Room temperature single photon emission from oxidized tungsten disulphide multilayers'.

Wang, R, Thakur, CS, Hamilton, TJ, Tapson, J & Schaik, AV 2016, 'A Stochastic Approach to STDP'.

Yao, Y, Zhang, J, Shen, F, Hua, X, Xu, J & Tang, Z 2016, 'Exploiting Web Images for Dataset Construction: A Domain Robust Approach'.

Zhang, W, Du, T & Wang, J 2016, 'Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction'.
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Predicting user responses, such as click-through rate and conversion rate, are critical in many web applications including web search, personalised recommendation, and online advertising. Different from continuous raw features that we usually found in the image and audio domains, the input features in web space are always of multi-field and are mostly discrete and categorical while their dependencies are little known. Major user response prediction models have to either limit themselves to linear models or require manually building up high-order combination features. The former loses the ability of exploring feature interactions, while the latter results in a heavy computation in the large feature space. To tackle the issue, we propose two novel models using deep neural networks (DNNs) to automatically learn effective patterns from categorical feature interactions and make predictions of users' ad clicks. To get our DNNs efficiently work, we propose to leverage three feature transformation methods, i.e., factorisation machines (FMs), restricted Boltzmann machines (RBMs) and denoising auto-encoders (DAEs). This paper presents the structure of our models and their efficient training algorithms. The large-scale experiments with real-world data demonstrate that our methods work better than major state-of-the-art models.