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).
Alzoubi, YI, Gill, AQ & Al-Ani, A 2016, 'Empirical studies of geographically distributed agile development communication challenges: A systematic review.', Inf. Manag., vol. 53, no. 1, pp. 22-37.
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© 2015 Elsevier B.V. All rights reserved. There is increasing interest in studying and applying geographically distributed agile development (GDAD). Much has been published on GDAD communication. There is a need to systematically review and synthesize the literature on GDAD communication challenges. Using the SLR approach and applying customized search criteria derived from the research questions, 21 relevant empirical studies were identified and reviewed in this paper. The data from these papers were extracted to identify communication challenges and the techniques used to overcome these challenges. The findings of this research serve as a resource for GDAD practitioners and researchers when setting future research priorities and directions.
Ara, P, Yu, K, Cheng, S, Dutkiewicz, E & Heimlich, MC 2016, 'Derivation of CRLB for Wireless Capsule Endoscope Localization Using Received Signal Strength', IEEE Sensors Journal, vol. 16, no. 24, pp. 9064-9074.
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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.
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.
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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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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Fang, G, Orgun, MA, Shankaran, R, Dutkiewicz, E & Zheng, G 2016, 'Truthful Channel Sharing for Self Coexistence of Overlapping Medical Body Area Networks', PLOS ONE, vol. 11, no. 2, pp. e0148376-e0148376.
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As defined by IEEE 802.15.6 standard, channel sharing is a potential method to coordinate inter-network interference among Medical Body Area Networks (MBANs) that are close to one another. However, channel sharing opens up new vulnerabilities as selfish MBANs may manipulate their online channel requests to gain unfair advantage over others. In this paper, we address this issue by proposing a truthful online channel sharing algorithm and a companion protocol that allocates channel efficiently and truthfully by punishing MBANs for misreporting their channel request parameters such as time, duration and bid for the channel. We first present an online channel sharing scheme for unit-length channel requests and prove that it is truthful. We then generalize our model to settings with variable-length channel requests, where we propose a critical value based channel pricing and preemption scheme. A bid adjustment procedure prevents unbeneficial preemption by artificially raising the ongoing winner's bid controlled by a penalty factor λ. Our scheme can efficiently detect selfish behaviors by monitoring a trust parameter α of each MBAN and punish MBANs from cheating by suspending their requests. Our extensive simulation results show our scheme can achieve a total profit that is more than 85% of the offline optimum method in the typical MBAN settings.
Gill, AQ, Phennel, N, Lane, D & Phung, VL 2016, 'IoT-enabled emergency information supply chain architecture for elderly people: The Australian context.', Inf. Syst., vol. 58, pp. 75-86.
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© 2016 Elsevier Ltd. All rights reserved. The effective delivery of emergency information to elderly people is a challenging task. Failure to deliver appropriate information can have an adverse impact on the well-being of the elderly people. This paper addresses this challenge and proposes an IoT-enabled information architecture driven approach, which is called 'Resalert'. Resalert offers IoT-enabled emergency information supply chain architecture pattern, IoT device architecture and system architecture. The applicability of the Resalert is evaluated by the means of an example scenario, a portable Raspberry Pi based system prototype and user evaluation. The results of this research indicate that the proposed approach seems useful to the effective delivery of emergency information to elderly people.
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, 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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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.
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.
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.
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.
Karmokar, DK, Esselle, KP & Bird, TS 2016, 'Wideband Microstrip Leaky-Wave Antennas With Two Symmetrical Side Beams for Simultaneous Dual-Beam Scanning', IEEE Transactions on Antennas and Propagation, vol. 64, no. 4, pp. 1262-1269.
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Lei, C, Bie, H, Fang, G, Gaura, E, Brusey, J, Zhang, X & Dutkiewicz, E 2016, 'A Low Collision and High Throughput Data Collection Mechanism for Large-Scale Super Dense Wireless Sensor Networks', Sensors, vol. 16, no. 7, pp. 1108-1108.
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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, 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.
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, 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.
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.
Mohammadi, MS, Zhang, Q & Dutkiewicz, E 2016, 'Reading Damaged Scripts: Partial Packet Recovery Based on Compressive Sensing for Efficient Random Linear Coded Transmission', IEEE Transactions on Communications, vol. 64, no. 8, pp. 3296-3310.
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© 2016 IEEE.Random linear coding (RLC) can improve the performance of multicast transmissions in terms of throughput and energy efficiency. However, RLC and linear codes in general cannot necessarily attain the optimal performance in arbitrary networks. In this regard, partial packet recovery can be considered as a nonlinear strategy to complement such approaches for more general networks. In this paper, we propose a partial packet recovery scheme that benefits from the sparsity of bit errors in partially corrupted RLC packets. As opposed to many previous schemes, it performs without introducing preliminary checksums or preambles, demanding physical layer soft information, or requesting post-redundancy from the transmitter. It relies only on algebraic coding and data processing techniques, the existing knowledge at the receiver, and the conventional acknowledgment messages in RLC. By reconstructing and utilizing the partially corrupted packets that are usually discarded, it can reduce the average number of transmitted RLC packets required for successful decoding by typically 50%, which improves throughput and energy efficiency at the transmitter. We formulate our partial packet recovery in the form of a sparse recovery problem, present its different solutions using compressive sensing theory, discuss their complexity, and present and evaluate a Markov chain model for its performance.
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.
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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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.
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.
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.
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.
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
Tong, X, Fang, G, Nguyen, D, Lin, J & Cabrera, E 2016, 'An Energy-Balanced Routing Algorithm in Wireless Seismic Sensor Network', Journal of Computational and Theoretical Nanoscience, vol. 13, no. 10, pp. 6823-6833.
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Due to unpredictable geological outdoor environments and imbalances in energy consumption of seismometer nodes in the wireless seismic sensor networks (WSSN), some seismometer nodes fail much earlier than others due to power loss. This would cause hot spot problems, network partitions, and significantly shorten network lifetime. In this paper, we designed an energy-balanced routing algorithm (EBRA) to ensure balanced energy consumption from all seismometer nodes in the WSSN and to enhance the connectivity and lifetime of the WSSN. By aiming at minimizing the imbalance in the residual energy, we divide the routing algorithm into two parts: clustering formation and inter-cluster routing. In clustering formation, we design an energy-balanced clustering algorithm, which selects the cluster head dynamically, based on residual energy, distance between the seismometer node and data collector. The clustering algorithm mitigates hot spot problems by balancing energy consumption among seismometer nodes. In regards to inter-cluster routing, we can relate it to the pareto-candidate set. To reduce the average multi-hop delay from cluster heads to the data collector, we optimize the pareto-candidate set by Hamming distance. In the design of EBRA, we consider minute details such as energy consumed by transmitting bits and impact of average multi-hop delay. This adds to the novelty of this work compared to the existing studies. Simulation results demonstrated a reduction in the average multi-hop delay by 87.5% with network size of 200 nodes in ten different data collector locations. Our algorithm also improves the network lifetime over the others three schemes by 7.8%, 23% and 45.4%, respectively.
Tong, X-Q, Lin, J, Zhang, G-Y & Zhu, X 2016, 'Influence of web plate holes on the radiation noise characteristics of wheels of the high speed train', Journal of Vibroengineering, vol. 18, no. 7, pp. 4870-4884.
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The finite element model of wheels without holes was established to compute its free modal and compare with the experimental result. The relative error was controlled within 5 %, which indicated that the finite element model in this paper was reliable. Based on the finite element and geometric model, the acoustic boundary element model of wheels was established to compute the radiation noise of wheels under the action of radial and normal excitation forces. Results showed that the change trend and value of radiation noises of wheels were similar under the action of two kinds of excitation forces when the analyzed frequency was lower than 1421 Hz. However, the radiation noise of wheels under the action of two kinds of excitation forces was significantly different and presented obvious directivity in three planes with the increase of the analyzed frequency. Then, models of wheels with 5, 6, 9 and ellipse holes were established to compute radiation noises and conduct comparative analysis. Results showed that the radiation noise of wheels with 6 holes was relatively minimum under radial and normal excitations and did not decrease with the increase of the hole number. The radiation noise of wheels with circular holes made certain improvement, compared with the radiation noise of wheels with ellipse holes. Distribution curves for the directivity of radiation noises of various wheels were highly symmetrical in the Z plane and radiation noises had relatively maximum in the position of multiples of 30°. The curve for the directivity of radiation noises of wheels with 5 holes was clearly different from that of other structures in the Y plane.
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.
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.
Wang, C, Cheng, P, Chen, Z, Zhang, JA, Xiao, Y & Gui, L 2016, 'Near-ML Low-Complexity Detection for Generalized Spatial Modulation', IEEE Communications Letters, vol. 20, no. 3, pp. 618-621.
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© 2016 IEEE. Generalized spatial modulation (GSM) is a spectral and energy efficient multiple-input-multiple-output transmission technique. The low-complexity detection algorithm design with near maximum likelihood (ML) performance at the receiver is very challenging, and is the focus of this letter. In specific, we exploit the fixed sparsity constraint in the transmitted GSM signals, and take advantage of Bayesian compressive sensing (BCS) in sparse signal recovery. A new detection algorithm, referred to as enhanced Bayesian compressive sensing (EBCS), is proposed. It features more than 75% complexity reduction at high signal-to-noise ratios compared with the ordered-blocked minimum-mean-squared-error algorithm. Furthermore, it is shown by simulation that its error performance is comparable to the ML algorithm, and the performance gap is negligible in many cases.
Wang, 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, W, Jin, R, Bird, TS, Fan, H, Liang, X & Geng, J 2016, 'A Multifixture Full-Wave De-Embedding Method for Characterizing One-Port Devices', IEEE Transactions on Microwave Theory and Techniques, vol. 64, no. 11, pp. 3894-3910.
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© 1963-2012 IEEE. Full-wave de-embedding refers to a network de-embedding technique in which the fixture effects are removed by characterizing any connection interface using a full-wave EM simulation method instead of by measurement alone. This technique is able to achieve consistent definition of equivalent circuit voltage and current when the de-embedded results are used for EM/circuit cosimulation. Adopting this approach, we describe an improved full-wave de-embedding method for characterizing one-port devices, where multiple redundant fixtures with mutually complementary properties are used to minimize the effects of random errors. Based on a linearized error model, the proposed method is able to improve the de-embedding accuracy over a broad frequency range, particularly when the device under test is reconfigurable. The proposed method is verified through the de-embedding of a surface-mount p-i-n diode, for which numerical and experimental results are provided. We also compare our technique with the thru-reflect-line method, and the results show that full-wave de-embedding can be more reliable in developing device models for accurate EM/circuit cosimulation purposes.
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.
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.
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.
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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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, 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.
Zhou, A, Liu, M, Li, Z & Dutkiewicz, E 2016, 'Joint Traffic Splitting, Rate Control, Routing, and Scheduling Algorithm for Maximizing Network Utility in Wireless Mesh Networks', IEEE Transactions on Vehicular Technology, vol. 65, no. 4, pp. 2688-2702.
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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.
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.
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.
Alzoubi, YI & Gill, AQ 1970, 'An Agile Enterprise Architecture-Driven Model for Geographically Distributed Agile Development', International Conference on Information Systems Development, ISD 2015, International Conference on Information Systems Development, Springer International Publishing, Harbin, China, pp. 63-77.
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Agile development is a highly collaborative environment, which requires active communication (i.e. effective and efficient communication) among stakeholders. The active communication in geographically distributed agile development (GDAD) environment is difficult to achieve due to many challenges. Literature has reported that active communication play critical role in enhancing GDAD performance through reducing the cost and time of a project. However, little empirical evidence is known about how to study and establish active communication construct in GDAD in terms of its dimensions, determinants and effects on GDAD performance. To address this knowledge gap, this paper describes an enterprise architecture (EA) driven research model to identify and empirically examine the GDAD active communication construct. This model can be used by researchers and practitioners to examine the relationships among two dimensions of GDAD active communication (effectiveness and efficiency), one antecedent that can be controlled (agile EA), and four dimensions of GDAD performance (on-Time completion, on-budget completion, software functionality and software quality).
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.
Awais, M & Gill, AQ 1970, 'Enterprise IT governance: Back to basics', 25th International Conference on Information Systems Development, ISD 2016, International Conference on Information Systems Development, AIS eLibrary, Katowice, Poland., pp. 188-196.
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Enterprise IT (EIT) governance is an emerging and convoluted area in Information Technology (IT). As a subset, EIT governance operates under defined boundaries and set of rules inherited from the enterprise governance. There are a number of definitions that define EIT governance concepts. These concepts are linked in an intricate web of EIT governance. These concepts and related definitions have emerged over a period of time either through implementation models or IT events. This marks the need for a comprehensive review and synthesis of governance concepts in the modern context of always changing IT landscape. This research applied the well-known Systematic Literature Review (SLR) method. 4 different databases are used to find relevant research papers. Based on available definitions, evidence and analysis, it is found that four concepts are used more than any other: decision, organization, process and goal. This study result provides a consolidated set of key concepts, their relationships and trends, which can be used as a knowledge-base by researchers and practitioners' for further work in this important area of EIT governance.
Awwad, S & Piccardi, M 1970, 'Local depth patterns for fine-grained activity recognition in depth videos', 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ), IEEE, Palmerston North, New Zealand, pp. 214-219.
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© 2016 IEEE.Fine-grained activities are human activities involving small objects and small movements. Automatic recognition of such activities can prove useful for many applications, including detailed diarization of meetings and training sessions, assistive human-computer interaction and robotics interfaces. Existing approaches to fine-grained activity recognition typically leverage the combined use of multiple sensors including cameras, RFID tags, gyroscopes and accelerometers borne by the monitored people and target objects. Although effective, the downside of these solutions is that they require minute instrumentation of the environment that is intrusive and hard to scale. To this end, this paper investigates fine-grained activity recognition in a kitchen setting by solely using a depth camera. The primary contribution of this work is an aggregated depth descriptor that effectively captures the shape of the objects and the actors. Experimental results over the challenging '50 Salads' dataset of kitchen activities show an accuracy comparable to that of a state-of-the-art approach based on multiple sensors, thereby validating a less intrusive and more practical way of monitoring fine-grained activities.
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.
Barua, S & Braun, R 1970, 'A novel approach of mobility management for the D2D communications in 5G mobile cellular network system', 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2016 18TH Asia-Pacific Network Operations and Management Symposium (APNOMS), IEEE, Kanazawa, Japan, pp. 1-4.
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© 2016 IEICE. The concept of 5G is regarded to gain 1000× data speed with 20 Billion devices (IoT) connected to the network which will literary connect everything. From the network point of view, lower latency combined with high flexibility is not just limited to the concept of 5G but already on the way to be implemented in real network by 2020. In a cellular network, Device to Device (D2D) communication has been viewed as a promising technology to overcome many existed problems especially the capacity and quality considering the scarce spectrum resource. However, this comes at the price of huge interference and complex mobility issues although it was initially proposed as a new paradigm to enhance the network performance. Cellular devices without smooth mobility readiness are hardly acceptable. A smart mobility system in cellular in-band underlay D2D communication should have lower latency, lower power consumption, and higher data rates. My proposition is to review the existing mobility management system for the LTE-Advanced technology and propose a unique algorithm over the existing proposal so that lower signalling overhead and lower delay along with uninterrupted D2D communication are guaranteed for the 5G cellular communication system by 2020.
Bashir, MR & Gill, AQ 1970, 'Towards an IoT Big Data Analytics Framework: Smart Buildings Systems.', HPCC/SmartCity/DSS, IEEE International Conference on High Performance Computing and Communications, IEEE Computer Society, Sydney, Australia, pp. 1325-1332.
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© 2016 IEEE. There is a growing interest in IoT-enabled smart buildings. However, the storage and analysis of large amount of high-speed real-time smart building data is a challenging task. There are a number of contemporary Big Data management technologies and advanced analytics techniques that can be used to deal with this challenge. There is a need for an integrated IoT Big Data Analytics (IBDA) framework to fill the research gap in the Big Data Analytics domain. This paper presents one such IBDA framework for the storage and analysis of real time data generated from IoT sensors deployed inside the smart building. The initial version of the IBDA framework has been developed by using Python and the Big Data Cloudera platform. The applicability of the framework is demonstrated with the help of a scenario involving the analysis of real-time smart building data for automatically managing the oxygen level, luminosity and smoke/hazardous gases in different parts of the smart building. The initial results indicate that the proposed framework is fit for the purpose and seems useful for IoT-enabled Big Data Analytics for smart buildings. The key contribution of this paper is the complex integration of Big Data Analytics and IoT for addressing the large volume and velocity challenge of real-time data in the smart building domain. This framework will be further evaluated and extended through its implementation in other domains.
Bautista, MG, Dutkiewicz, E, Huang, X, Nguyen, D & Zhu, F 1970, 'Quadrature broadband phase shift generation using passive RC polyphase filter for RF front-end', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Qingdao, China, pp. 597-601.
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© 2016 IEEE. This paper reviews the state of the art of a polyphase complex filter for RF front-end low-IF transceivers applications. We then propose a multi-stage polyphase filter design to generate a quadrature I/Q signal to achieve a wideband precision quadrature phase shift with a constant 90 ° phase difference for self-interference cancellation circuit for full duplex radio. The number of the stages determines the bandwidth requirement of the channel. An increase of 87% in bandwidth is attained when our design is implemented in multi-stage from 2 to an extended 6 stages. A 4-stage polyphase filter achieves 2.3 GHz bandwidth.
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.
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.
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, Q, Fang, G, Nguyen, D & Dutkiewicz, E 1970, 'Novel pilot decontamination methods for Massive MIMO systems under practical scenarios', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Qingdao, PEOPLES R CHINA, pp. 77-81.
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© 2016 IEEE. Accurate and efficient channel estimation methods have the ability to realize the theoretical gain in multi-input multi-output (Massive MIMO) systems which have a massive number of antennas. However, the pilot contamination in Massive MIMO channel estimation process, rooted from the pilot reuse, is a critical problem that severely degrades the performance of the system. This work aims to address the problem of pilot contamination in covariance-aided channel estimation meth-ods while considering practical scenarios where the channel covariance matrices change due to a new user arrival and users mobility. To that end, we first design a method to track the channel covariance matrices and then use these estimated values in Bayesian estimation. Simulation results indicate that the normalized mean square error (NMSE) for both channel covariance matrices and the CSI itself of our proposed methods are much lower than those of classical methods based on least square (LS) and Bayesian estimation. Additionally, for the case that users move slowly (e.g., at walking speed), our proposed method can provide satisfactory performance for more than three times as much as classical Bayesian estimation before system re-train channel covariance matrices. In other words, compared with classical Bayesian methods, our proposed methods are able to get good system performance with less overhead and complexity by a lower frequency of re-training process.
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.
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.
Dutkiewicz, E 1970, 'Radio spectrum research for emerging IoT and 5G networks', Proceedings of the Seventh Symposium on Information and Communication Technology, SoICT '16: Seventh International Symposium on Information and Communication Technology, ACM, Ho Chi Minh, VIETNAM, pp. 2-2.
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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.
Gaura, E & Dutkiewicz, E 1970, 'The thirteenth IEEE international workshop on managing ubiquitous communications and services, 2016 - Welcome and committees: Welcome message from the program chairs', 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), IEEE.
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Gill, AQ & Hevary, S 1970, 'Cloud Monitoring Data Challenges: A Systematic Review.', ICONIP (1), International Conference on Neural Information Processing, Springer, Kyoto, Japan, pp. 72-79.
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© Springer International Publishing AG 2016. Organizations need to continuously monitor, source and process large amount of operational data for optimizing the cloud computing environment. The research problem is: what are cloud monitoring data challenges – in particular virtual CPU monitoring data? This paper adopts a Systematic Literature Review (SLR) approach to identify and report cloud monitoring data challenges. SLR approach was applied to initially identify a large set of 1861 papers. Finally, 24 of 1861 relevant papers were selected and reviewed to identify the five major challenges of cloud monitoring data: monitoring technology, virtualization technology, energy, availability and performance. The results of this review are expected to help researchers and practitioners to understand cloud computing data challenges and develop innovative techniques and strategies to deal with these challenges.
Gill, AQ, Chew, EK, Kricker, D & Bird, G 1970, 'Adaptive Enterprise Resilience Management: Adaptive Action Design Research in Financial Services Case Study.', CBI (1), IEEE Conference on Business Informatics (CBI), IEEE, Paris, pp. 113-122.
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© 2016 IEEE. Resilience is the ability of an enterprise to absorb, recover and adapt from a disruption. Being resilient is a complex undertaking for enterprises operating in a highly dynamic environment and striving for continuous efficiency and innovation. The challenge for enterprises is to offer and run a customer-centric and interdependent large portfolio of resilient services. The fundamental research question is: how to enable service resilience in the practical enterprise resilience context? This paper addresses this important research question, and reports findings from on-going (2014-2016) research on adaptive enterprise resilience management in an Australian financial services organization (FSO). This research is being conducted using the adaptive action-design research (ADR) method to iteratively research, develop and deliver the desired resilience framework in short increments. This paper presents the overall evolved adaptive enterprise resilience management framework and its 'service resilience' element details as one of the key outcomes from the second adaptive ADR increment.
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.
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.
Hanawal, MK, Nguyen, DN, Krunz, M & IEEE 1970, 'Jamming Attack on In-band Full-duplex Communications: Detection and Countermeasures', IEEE INFOCOM 2016 - THE 35TH ANNUAL IEEE INTERNATIONAL CONFERENCE ON COMPUTER COMMUNICATIONS, IEEE Conference on Computer Communications, IEEE, San Francisco, USA.
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© 2016 IEEE. Recent advances in the design of in-band full-duplex (IBFD) radios promise to double the throughput of a wireless link. However, IBFD-capable nodes are more vulnerable to jamming attacks than their out-of-band full-duplex (OBFD) counterparts, and any advantages offered by them over the OBFD nodes can be jeopardized by such attacks. A jammer needs to attack both the uplink and the downlink channels to completely break the communication link between two OBFD nodes. In contrast, he only needs to jam one channel (used for both uplink and downlink) in the case of two IBFD nodes. Even worse, a jammer with the IBFD capability can learn the transmitters' activity while injecting interference, allowing it to react instantly with the transmitter's strategies. In this paper, we investigate frequency hopping (FH) technique for countering jamming attacks in the context of IBFD wireless radios. Specifically, we develop an optimal strategy for IBFD radios to combat an IBFD reactive sweep jammer. First, we introduce two operational modes for IBFD radios: transmission reception and transmission-detection. These modes are intended to boost the anti-jamming capability of IBFD radios. We then jointly optimize the decision of when to switch between the modes and when to hop to a new channel using Markov decision processes. Numerical investigations show that our policy significantly improves the throughput of IBFD nodes under jamming attacks.
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.
Huang, W, Chanmongthai, K & Dutkiewicz, E 1970, 'Welcome message from general co-chairs', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE.
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Huang, X, Fan, L, Zhang, J, Wu, Q & Yuan, C 1970, 'Real Time Complete Dense Depth Reconstruction for a Monocular Camera', 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE, Las Vegas, Nevada., pp. 674-679.
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© 2016 IEEE. In this paper, we aim to solve the problem of estimating complete dense depth maps from a monocular moving camera. By 'complete', we mean depth information is estimated for every pixel and detailed reconstruction is achieved. Although this problem has previously been attempted, the accuracy of complete dense depth reconstruction is a remaining problem. We propose a novel system which produces accurate complete dense depth map. The new system consists of two subsystems running in separated threads, namely, dense mapping and sparse patch-based tracking. For dense mapping, a new projection error computation method is proposed to enhance the gradient component in estimated depth maps. For tracking, a new sparse patch-based tracking method estimates camera pose by minimizing a normalized error term. The experiments demonstrate that the proposed method obtains improved performance in terms of completeness and accuracy compared to three state-of the-art dense reconstruction methods VSFM+CMVC, LSDSLAM and REMODE.
Huang, X, Zhang, J, Wu, Q, Fan, L & Yuan, C 1970, 'A coarse-to-fine algorithm for registration in 3D street-view cross-source point clouds', 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016, Digital Image Computing Techniques and Applications, IEEE, Gold coast, Australia..
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With the development of numerous 3D sensing technologies, object registrationon cross-source point cloud has aroused researchers' interests. When the pointclouds are captured from different kinds of sensors, there are large anddifferent kinds of variations. In this study, we address an even morechallenging case in which the differently-source point clouds are acquired froma real street view. One is produced directly by the LiDAR system and the otheris generated by using VSFM software on image sequence captured from RGBcameras. When it confronts to large scale point clouds, previous methods mostlyfocus on point-to-point level registration, and the methods have manylimitations.The reason is that the least mean error strategy shows poor abilityin registering large variable cross-source point clouds. In this paper,different from previous ICP-based methods, and from a statistic view, wepropose a effective coarse-to-fine algorithm to detect and register a smallscale SFM point cloud in a large scale Lidar point cloud. Seen from theexperimental results, the model can successfully run on LiDAR and SFM pointclouds, hence it can make a contribution to many applications, such as roboticsand smart city development.
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.
Karmokar, DK, Esselle, KP, Hay, SG, Bird, TS & Heimlich, M 1970, 'A simple single-feed array of uniform half-width microstrip leaky-wave antennas for boresight radiation', 2015 International Symposium on Antennas and Propagation, ISAP 2015, IEEE International Symposium on Antennas and Propagation, IEEE, Hobart, TAS, Australia, pp. 1-3.
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A simple leaky-wave antenna (LWA) array is presented here radiates in the boresight direction. It is based on uniform half-width (HW) microstrip leaky-wave antennas (MLWAs). Uniform HW-MLWAs usually radiate a fan-shaped beam with a beam direction near boresight at lower frequencies and near endfire at higher frequencies. One of the main challenges of uniform LWAs is to make them radiate toward the boresight. Six uniform HW-MLWAs are used in this array to overcome this limitation. The whole array is on a single substrate and is fed at the centre by a single probe. The peak gain of the array is 10.9 dBi and its 3dB gain bandwidth for boresight radiation is 270 MHz.
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.
Kionig, L, Vold, T & Braun, R 1970, 'Exploring positive deviance for enhancing learning outcomes in higher education and training', 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), IEEE, Istanbul, Turkey, pp. 1-4.
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© 2016 IEEE. Due to the terror actions of the 22nd of July 2011 there has been an increased focus on the preparedness and also training for handling and managing crisis. Organizations and municipalities are obliged to have plans for handling crises and plans for training their employees. The focus is often to learn from what went wrong and most reports focus on the improvement areas, implying that there are faults and deficiencies. Positive Deviance (PD) is about looking for success stories, when the statistics imply that it should not be a success. The term PD was in the 1990's introduced and explored by nutrition professor Marian Zeitlin in her book 'Positive Deviance in Nutrition' at Tufts University. Also visiting Tufts University was Jerry and Monique Sternin which brought the ideas further and developed it as a tool for social change. From the PD webpage www.positivedeviance.org, we find: 'Positive Deviance is based on the observation that in every community there are certain individuals or groups whose uncommon behaviors and strategies enable them to find better solutions to problems than their peers, while having access to the same resources and facing similar or worse challenges. The Positive Deviance approach is an asset-based, problem-solving, and community-driven approach that enables the community to discover these successful behaviors and strategies and develop a plan of action to promote their adoption by all concerned.' However, to look for the small successes and explore 'why this was a success', is also possible in other areas than within social change. Which (minor) elements contributed to how this actually had a successful ending, even if the surrounding factors indicated failure? In finding these minor details that contributed to an unexpected success lay a learning potential that is worth exploring, for instance in the area of Crisis Training. One student group in the Crisis Communication course received a task that was about disco...
Korhonen, JJ, Lapalme, J, McDavid, D & Gill, AQ 1970, 'Adaptive Enterprise Architecture for the Future: Towards a Reconceptualization of EA.', CBI (1), IEEE Conference on Business Informatics (CBI), IEEE, Paris, France, pp. 272-281.
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© 2016 IEEE. In some conventional definitions, Enterprise Architecture (EA) is conceived as a descriptive overview of the enterprise, while in other views EA is seen as a prescriptive framework of principles and models that helps translate business strategy to enterprise change. The conceptualizations of EA also vary in scope. There is an increasing recognition of EA as a systemic, enterprise-wide capability encompassing all relevant facets of the organization, transcending the traditional IT-centric view. However, we argue that none of the conventional conceptualizations of EA are adaptive in the face of today's complex environment. We view that an adaptive EA must go beyond a single organization and fully appreciate enterprise-in-environment ecosystemic perspective. Drawing on the heritage of Open Socio-Technical Systems Design and adopting the 'three schools of thought' as a meta-paradigmatic backdrop, the paper features four different views of long-time scholar-practitioners, who discuss what an adaptive enterprise architecture would entail. Integration of these views paints a radically reconceptualized picture of enterprise architecture for the future. With this paper, we want to lay a foundation for a debate on the need for alternative conceptualizations, manifestations and research agenda for enterprise architecture.
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.
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.
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.
Lumor, T, Chew, E & Gill, AQ 1970, 'Exploring the Role of Enterprise Architecture in IS-enabled Ot: An EA Principles Perspective.', EDOC Workshops, Workshop in conjunction with the IEEE International Enterprise Distributed Object Computing Conference, IEEE Computer Society, Vienna, Austria, pp. 1-6.
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© 2016 IEEE. Although EA principles have received considerable attention in recent years, there is still little known about how EA principles can be used to govern the transformation of the Information Systems enabled organization. In this research-in-progress paper, we communicate our initial step towards answering the sub-question: how do enforcing EA principles contribute to IS-enabled OT? Based on a comprehensive literature review, we initially propose five testable hypotheses and a research model, which is a pre-requisite to developing a data-driven theory for this important area of research. It is anticipated that the ensuing theory will provide a basis for further research studying the impact of EA on IS-enabled OT. The tested research model will also provide guidance to practitioners on how to effectively design and use EA principles in managing transformative changes caused by IS within their organizations and overall industry sectors.
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.
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.
Miller, G, Hermans, F & Braun, R 1970, 'Gradual structuring: Evolving the spreadsheet paradigm for expressiveness and learnability', 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), IEEE, Istanbul, Turkey, pp. 1-8.
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© 2016 IEEE. Spreadsheets are arguably the most used form of programming and are frequently used in higher education to teach fundamental concepts about computation. Their success has shown that they are simple enough for a huge number of end users to learn and use. This is in contrast to traditional programming languages and the high dropout rate from introductory programming and computer science. However in comparison to traditional programming languages and structured modelling, spreadsheets are not expressive, placing a limit on the levels of computational thinking that can be taught using the spreadsheet paradigm. This limitation is imposed by the lack of programming language features and abstractions in the paradigm. Furthermore, more advanced spreadsheet features (e.g. array formulae, lookup formulae, R1C1 syntax) can be difficult to learn and use. This paper discusses the idea of adding language features to spreadsheets, enabling the gradual structuring of free-form spreadsheets to more structured models. We propose that this concept is termed Gradual Structuring, and is analogous to the programming language concept of gradual typing. In this analogy, spreadsheets take the place of dynamic programming and structured modelling of static programming. In programming languages, gradual typing allows dynamic programming to be mixed with static programming. It is our contention that dynamic programming is more learnable while static programming is more expressive and abstract. Gradual typing could be used to mitigate the issues in the teaching of traditional programming. Likewise Gradual Structuring can mitigate the conceptual limits that can be taught using current spreadsheets. The key language feature required to enable Gradual Structuring is the ability to logically group cells together so that a single formula can be applied to the grouped cells. This concept, termed cell grouping diminishes and can even eliminate the need for the ubiquitous and ...
Mohammadi, MS, Dutkiewicz, E & Zhang, Q 1970, 'Joint Source-Channel Optimization of Vector Quantization with Polar Codes', 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall), IEEE, Montreal, QC, Canada, pp. 1-6.
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© 2016 IEEE. Joint application of polar channel coding combined with vector quantization lossy source coding is considered in this paper. The existing index assignment schemes in the literature cannot be used with polar codes due to their unique crossover probabilities. We elaborate on this problem and locally optimize index assignments. In addition, we propose an algorithm that jointly optimizes the number of quantization levels and the rate of the polar code in order to achieve minimum end-to-end distortion. It finds the optimal tradeoff between the distortion caused by channel errors and the quantization distortion. We also derive estimates for the crossover probabilities of the polar code which are required in the analysis. Simulation results confirm the effectiveness of the proposed algorithms and the accuracy of the crossover probabilities.
Nguyen, LD, Duong, TQ, Nguyen, DN & Tran, L-N 1970, 'Energy efficiency maximization for heterogeneous networks: A joint linear precoder design and small-cell switching-off approach', 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), IEEE, Washington DC, pp. 718-722.
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© 2016 IEEE. In this paper, we consider a multiuser multiple-input multipleoutput (MU-MIMO) heterogeneous network (HetNet) in which a macro base station (MBS) and multiple small-cells (SCs) coexist to serve multiple user terminals. We propose a joint linear precoder design problem to maximize the energy efficiency of the considered network. To tackle the cross-tier interference in the HetNets, we exploit zero-forcing precoding where the interference at the users is cancelled out by block diagonalization scheme. A novel group sparsity promoted as group Lasso is proposed using the weighted norm minimization, where the group sparsity pattern indicates those SCs that can be switched off and non-associated users. Simulation results show that the proposed algorithm outperforms many existing algorithms in terms of the total energy efficiency in the HetNets.
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, 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.
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.
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.
Ranglund, OJ, Kionig, L, Holen, S, Vold, T, Venemyr, GO, Bakken, BT & Braun, R 1970, 'Using games for teaching crisis communication in higher education and training', 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), 2016 15th International Conference on Information Technology-Based Higher Education and Training (ITHET), IEEE, Istanbul, Turkey.
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© 2016 IEEE. Terror actions and catastrophes are frequently described in media. As more and more countries experience terror actions and natural disasters, there has been a greater focus on learning how to handle and to manage them. In Norway on the 22nd of July 2011, Anders Behring Breivik placed a bomb in a car that exploded near the Governmental Offices killing 8 persons. He went on to an island where there was a political camp for youths killing another 67. The rescue operations unveiled an unprepared task force. The Gjrv-report provide a massive critique towards the call out services [1]. This kicked off a major work on updating safety routines in all municipalities. The municipalities are now obliged to have a plan for crisis preparedness [2]. This again triggered the need for education within the area of crisis preparedness, crisis training and crisis management. Hedmark University of Applied Science now offers different study programs, including a BA within these areas. It is, however, very expensive to train realistically and the need for different approaches regarding training has been discussed. One of the solutions that the University is currently working on, is the use of games. Game based learning, also called 'serious games', has become an academic genre and using games for learning and training has proven fruitful [3-12]. In the military, games have been used for simulation purposes [13] and spin offs from these have also reached a commercial market [14, 15]. Using games in education opens up a range of opportunities. One of them is within the area of Crisis Communication. Crisis Communication as a curriculum is about how to approach the area of crisis communication, understanding the key concepts and develop skills within the curriculum. Games that support communication between the gamers can for instance contribute towards a greater understanding of communication in a crisis situation. What is needed to communicate and how messages are...
Rao, T, Xu, M, Liu, H, Wang, J & Burnett, I 1970, 'Multi-scale blocks based image emotion classification using multiple instance learning', 2016 IEEE International Conference on Image Processing (ICIP), 2016 IEEE International Conference on Image Processing (ICIP), IEEE, Phoenix, Arizona, USA.
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Emotional factors usually affect users' preferences for and evaluations of images. Although affective image analysis attracts increasing attention, there are still three major challenges remaining: 1) it is difficult to classify an image into a single emotion type since different regions within an image can represent different emotions; 2) there is a gap between low-level features and high-level emotions and 3) it is difficult to collect a training set of reliable emotional image content. To address these three issues, we propose an emotion classification method based on multi-scale blocks using Multiple Instance Learning (MIL). We firstly extract blocks of an image at multiple scales using different image segmentation methods pyramid segmentation and simple linear iterative clustering (SLIC) and represent each block using the bag-of-visual-words (BoVW) method. Then, to bridge the “affective gap”, probabilistic latent semantic analysis (pLSA) is employed to estimate the latent topic distribution as a mid-level representation of each block. Finally, MIL, which reduces the need for exact labelling, is employed to classify the dominant emotion type of the image. Experiments carried out on three widely used datasets demonstrate that our proposed method with S-LIC effectively improves the state-of-the-art results of image emotion classification 5.1% on average.
Saadat, A, Fang, G, Dutkiewicz, E, Mueck, M & Srikanteswara, S 1970, 'Enhanced QoS for domestic licensees in border areas through game theory based licensed shared access', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Qingdao, PEOPLES R CHINA, pp. 44-47.
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© 2016 IEEE.In this paper, we propose a non-coordinated Licensed Shared Access (LSA) model which enables Mobile Network Operators (MNOs) acting as domestic licensees to provide enhanced Quality of Service (QoS) in border areas. The proposed model allows the domestic licensees to rely on their backup strategies while utilizing available spectrum resources, to avoid severe interference and maintain their QoS, whenever foreign incumbents initiate their operation in similar frequency spectrum across the border. The proposed model is presented as an LSA based game theoretic algorithm. We prove its convergence to an equilibrium point after finite iterations, both analytically and through simulations.
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, 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
Siyari, P, Krunz, M & Nguyen, DN 1970, 'A Game Theoretic Design of Artificial-Noise Aided Transmissions in MIMO Wiretap Interference Network', 2016 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2016 - 2016 IEEE Global Communications Conference, IEEE, Washington, DC, pp. 1-6.
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© 2016 IEEE. The article considers the joint optimization of artificial noise (AN) and information signal precoders in a MIMO wiretap interference network where the transmission of each user may be overheard by several MIMO-capable eavesdroppers. We use the theory of non-cooperative games to propose a distributed framework to optimize the covariance matrices of the information signal and AN at each link. To tackle the non-convexity of each link/player's optimization problem, we recruit a relaxed equilibrium concept in game theory, called quasi-Nash equilibrium (QNE). Under the assumption of no coordination between links, we derive sufficient conditions for the existence and uniqueness of the resulting QNE. It turns out that the uniqueness of QNE is not always guaranteed, especially in the case of high interference. Hence, multiple QNEs might exist, and an ordinary updating process (e.g., Gauss-Seidel, Jacobi, or asynchronous update) does not guarantee the convergence to a QNE. Instead, by using the Tikhonov regularization method for variational inequality problems, we modify our algorithm to guarantee the game's convergence to a QNE even in the case of having multiple QNEs. The modified algorithm also allows the links to select between multiple QNEs so as to reduce the received interference at the legitimate receivers. Simulations are then used to confirm the above theoretical findings and the efficacy (in terms of secrecy sum-rate, convergence guarantee, and energy efficiency) of the latter algorithm.
Siyari, P, Krunz, M & Nguyen, DN 1970, 'Price-based friendly jamming in a MISO interference wiretap channel', IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016 - IEEE Conference on Computer Communications, IEEE, San Francisco, USA.
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© 2016 IEEE. In this paper, we expand the scope of PHY-layer security by investigating TX-based friendly jamming (FJ) for the wiretap channel in multi-link settings. For the single-link scenario, creating a TX-based FJ is an effective and practical method in improving the secrecy rate. In a multi-link setting, several information signals must be transmitted simultaneously. Thus, the design must guarantee that the FJ signal of a given transmitter does not interfere with unintended but legitimate receivers. Under the assumption of exact knowledge of the eavesdropping channel, we first propose a distributed price-based approach to improve the secrecy sum-rate of a two-link network with one eavesdropper while satisfying an information-rate constraint for both link. Simulations show that price-based FJ control outperforms greedy FJ, and is close to the performance of a centralized approach. Next, we propose a method based on mixed strategic games that can offer robust solutions to the distributed secrecy sum-rate maximization problem under the assumption of an unknown eavesdropping channel. Lastly, we use simulations to show that in addition to outperforming the greedy approach, our robust optimization also satisfies practical network considerations. In particular, the transmission time for the robust optimization can be determined flexibly to match the channel's coherence time.
Sun, S, Huang, X, Liu, J & Cheng, X 1970, 'Welcome message from TPC chairs', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE.
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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.
Void, T, Braun, R & Lundesgaard, D 1970, 'Flipped classroom — Students as producers', 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), 2016 15th International Conference on Information Technology Based Higher Education and Training (ITHET), IEEE, Istanbul, Turkey, pp. 1-6.
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© 2016 IEEE. Flipped classroom is something that more and more teachers add to their teaching plans. To use video recordings of their lectures as a support for the students and then focus more on working with the curriculum in class has become a method that is adopted by an increasing number of lecturers. In higher education the students are adults. This implies that it needs to be a form of lecturing adapted to adults. From the area of organizational learning, and from andragogy, the key to learning lies in motivation and the motivation is triggered by engagement that in its turn stems from involvement. However, involving the learner in their own learning process is also about 'letting go' of the teachers' full control. But is it necessary to maintain control? Is it possible to view the undertaking as a learning experience also for the teacher/lecturer? What control should be executed and what can one let go of? The research done at Hedmark University of Applied Sciences, show some interesting features. The courses have been 'Learning Organizations' (autumn) and 'Knowledge Management' (spring). The lectures have been in the form of streaming video and the course is organized as three full day seminars each semester/course. Each day has had a similar approach: a browse through the different chapters that are going to be discussed. Then follows solving assignments related to the presented topics, first in small groups, then in plenary. Before the lunch break, the students present suggestions towards possible new assignments. During the lunch break, the lecturer writes up the assignment using the input from the students. There is a quality check regarding the topics being within the scope of the seminar. After the lunch break, the students solve the assignment, first in small groups, then in plenary. The assignment and solution(s) are discussed using the following standard: 1. What did we learn from the assignment? 2. What did we learn from making the ass...
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, 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.
Weilemann, E, Brune, P & Gill, AQ 1970, 'Do They Miss the Lectures? – Flipped Classroom Perception by Software Engineering Students', Proceedings of ECSEE 2016 - Flipped Classroom Perception by Software Engineering Students, European Conference of Software Engineering Education, Shaker Verlag, Seeon Monastery, Germany, pp. 245-249.
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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.
Yang, X, Zhao, G, Hu, W, Guo, YJ, Yin, YZ & Bah, AO 1970, 'Characteristics of wideband phased array with two-layer metasurface', 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, Cairns, Australia, pp. 852-855.
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© 2016 IEEE. The agile beam scanning ability is attractive feature of phased array over traditional mechanical array, but it is difficult to achieve perfect impedance matching in all the directions. Furthermore, phased array capable of wideband operation is desired in multi-function radar and modern communication systems. In this paper, a wideband tightly coupled array models equipped with two-layer metasurface is presented and its characteristics are investigated. The metasurface consists of two substrates each printed with different periodic metallic patches to accommodate wideband and wide angle applications. The results show that, with the assistance of this artificial metasurface, the phased array can operate over a 5:1 ratio impedance bandwidth (VSWR<3) and the scanning angle is as large as 45°.
Yang, Y, Zhu, X & Heimlich, MC 1970, 'A broadside-coupled meander-line resonator (BCMLR) for ultra-compact millimeter-wave MMIC designs in 0.13μm SiGe technology', 2016 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM), 2016 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition (iWEM), IEEE, Nanjing, PEOPLES R CHINA.
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Yao, Y, Hua, X-S, Shen, F, Zhang, J & Tang, Z 1970, 'A Domain Robust Approach For Image Dataset Construction', Proceedings of the 24th ACM international conference on Multimedia, MM '16: ACM Multimedia Conference, ACM, Amsterdam, The Netherlands, pp. 212-216.
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© 2016 ACM.There have been increasing research interests in automatically constructing image dataset by collecting images from the Internet. However, existing methods tend to have a weak domain adaptation ability, known as the \dataset bias problem". To address this issue, in this work, we propose a novel image dataset construction framework which can generalize well to unseen target domains. In specific, the given queries are first expanded by searching in the Google Books Ngrams Corpora (GBNC) to obtain a richer semantic description, from which the noisy query expansions are then filtered out. By treating each expansion as a \bag" and the retrieved images therein as \instances", we formulate image filtering as a multi-instance learning (MIL) problem with constrained positive bags. By this approach, images from different data distributions will be kept while with noisy images filtered out. Comprehensive experiments on two challenging tasks demonstrate the effectiveness of our proposed approach.
Yao, Y, Zhang, J, Hua, X-S, Shen, F & Tang, Z 1970, 'Extracting Visual Knowledge from the Internet: Making Sense of Image Data', MultiMedia Modeling (LNCS), International Conference on Multimedia Modeling, Springer International Publishing, Miami, USA, pp. 862-873.
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© Springer International Publishing Switzerland 2016.Recent successes in visual recognition can be primarily attributed to feature representation, learning algorithms, and the everincreasing size of labeled training data. Extensive research has been devoted to the first two, but much less attention has been paid to the third. Due to the high cost of manual data labeling, the size of recent efforts such as ImageNet is still relatively small in respect to daily applications. In this work, we mainly focus on how to automatically generate identifying image data for a given visual concept on a vast scale. With the generated image data, we can train a robust recognition model for the given concept. We evaluate the proposed webly supervised approach on the benchmark Pascal VOC 2007 dataset and the results demonstrates the superiority of our method over many other state-ofthe- art methods in image data collection.
Yao, Y, Zhang, J, Shen, F, Hua, X, Xu, J & Tang, Z 1970, 'Automatic image dataset construction with multiple textual metadata', 2016 IEEE International Conference on Multimedia and Expo (ICME), 2016 IEEE International Conference on Multimedia and Expo (ICME), IEEE, Seattle, Washington, USA.
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© 2016 IEEE. The goal of this work is to automatically collect a large number of highly relevant images from the Internet for given queries. A novel image dataset construction framework is proposed by employing multiple textual metadata. In specific, the given queries are first expanded by searching in the Google Books Ngrams Corpora to obtain a richer semantic description, from which the visually non-salient and less relevant expansions are then filtered. After retrieving images from the Internet with filtered expansions, we further filter noisy images by clustering and progressively Convolutional Neural Networks (CNN). To verify the effectiveness of our proposed method, we construct a dataset with 10 categories, which is not only much larger than but also have comparable cross-dataset generalization ability with manually labeled dataset STL-10 and CIFAR-10.
Ye, L, Cao, K, Guo, YJ, Huang, X, Beadle, P, Argha, A, Piccardi, M, Zhang, G & Su, SW 1970, 'Inertial Sensor based Post Fall Analysis for False Alarming Reduction', Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, Telehealth and Assistive Technology / 847: Intelligent Systems and Robotics, ACTAPRESS, Zurich, Switzerland, pp. 36-43.
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One of the major public health problems among elderly people is falling injury. This study investigates fall detection and prevention by using inertial sensors for which the major existing challenging is how to significantly reduce false alarming in order to enhance the acceptance of elderly users during rehabilitation and daily exercises. Different from most existing approaches in the literature, the behavior after falling will be analyzed in details, which can not only greatly reduce false alarming, but also significantly improves the accuracy of the assessment of the severity of falling injuries.
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, 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.
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.
Zhong, Y, Zhou, Z, Jiang, T, Heimlich, M, Dutkiewicz, E & Fang, G 1970, 'Classification of animals and people based on radio-sensor network', 2016 16th International Symposium on Communications and Information Technologies (ISCIT), 2016 16th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Qingdao, China, pp. 113-116.
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© 2016 IEEE.Personnel detection embedded in foliage is extremely important to border patrol, perimeter protection and search-and-rescue operations. In this paper, we explore the utility of radio-sensor network (RSN) to distinguish between humans and animals. We explore the phenomenon that signals are always affected by the presence of obstacles and identify human based on the received signals by transceivers, which leads to a potential low-cost way for personnel detection without specific sensors. In our study, the impulse radio ultra-wideband (IR-UWB) technology is selected for the RF transceiver due to the fact that it is not only energy efficient, but also robust against interferences. The principle component analysis (PCA) is applied to extract the feature vector, and a support vector machine is used as the target classifier. Experiment result with an average accuracy of 97.5% based on actual data collected in a cornfield indicates that this approach has a good capability to distinguish between human and animals in a foliage environment.
Zhou, 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, 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.
