Ahmad, MR, Esa, MRM, Cooray, V & Dutkiewicz, E 2014, 'Interference from cloud-to-ground and cloud flashes in wireless communication system', Electric Power Systems Research, vol. 113, pp. 237-246.
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In this study, cloud-to-ground (CG) flash and intra-cloud (IC) flash events that interfere with the transmission of bits in wireless communication system operating at 2.4 GHz were analyzed. Bit error rate (BER) and consecutive lost datagram (CLD) measurement methods were used to evaluate BER and burst error from 3 tropical thunderstorms on November 27, 28, and 29 during 2012 northeastern monsoon in Malaysia. A total of 850 waveforms from the electric field change recording system were recorded and examined. Out of these, 94 waveforms of very fine structure were selected which matched perfectly with the timing information of the recorded BER. We found that both CG and IC flashes interfered significantly with the transmission of bits in wireless communication system. The severity of the interference depends mainly on two factors namely the number of pulses and the amplitude intensity of the flash. The interference level becomes worst when the number of pulses in a flash increases and the amplitude intensity of pulses in a flash intensifies. During thunderstorms, wireless communication system has experienced mostly intermittent interference due to burst error. Occasionally, in the presence of very intense NBP event, wireless communication system could experience total communication lost. In CG flash, it can be concluded that PBP is the major source of interference that interfered with the bits transmission and caused the largest burst error. In IC flash, we found that the typical IC pulses interfered the bits transmission in the same way as PBP and mixed events in CG flash and produced comparable and in some cases higher amount of burst error. NBP has been observed to interfere the bits transmission more severely than typical IC and CG flashes and caused the most severe burst error to wireless communication system. © 2014 Elsevier B.V.
Al-Jaafreh, A, Al-adaileh, R, Gill, A, Al-Ani, A & alzoubi, Y 2014, 'A Review of Literature of Initial Trust in E-Services: The Case of Internet Banking Services in Jordanian Context', Journal of Electronic Banking Systems, vol. 2014, pp. 1-10.
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Banjar, A, Pupatwibuli, P & Braun, R 2014, 'DAIM: A mechanism to distribute control functions within openflow switches', Journal of Networks, vol. 9, no. 1, pp. 1-9.
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Telecommunication networks need to support a wide range of services and functionalities with capability of autonomy, scalability and adaptability for managing applications to meet business needs. Networking devices are increasing in complexity among various services and platforms, from different vendors. The network complexity is required experts' operators. This paper explores an introduction to networks programmability, by distributing independent computing environment, which would be demonstrated through a structured system named DAIM model (Distributed Active information Model). In addition it seeks to enhance current SDN (Software-Defined Networking) approach which has some scalability issues. The DAIM model can provide richness of nature-inspired adaptation algorithms on a complex distributed computing environment. The DAIM model uses a group of standard switches, databases, and corresponding between them by using DAIM agents. These agents are imposed by a set of network applications, which is integrated with a DAIM model databases. DAIM model also considers challenges of autonomic functionalities, where each network's device can make its own decisions on the basis of collected information by the DAIM agents. The DAIM model is expected to satisfy the requirement of autonomic functionalities. Moreover, this paper discussed the processing of packets forwarding within DAIM model as well as the risk scenarios of the DAIM model. © 2014 ACADEMY PUBLISHER.
Banjar, A, Pupatwibuli, P & Braun, R 2014, 'DAIM: a Mechanism to Distribute Control Functions within OpenFlow Switches', Journal of Networks, vol. 9, no. 1.
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Banjar, AR, Pupatwibul, P, Al Sabbagh, A & Braun, RM 2014, 'Using an ICN Approach to Support Multiple Controllers in OpenFlow', International Journal of Electrical & Computer Sciences, vol. 14, no. 02, pp. 1-6.
Bouwmans, T, Gonzàlez, J, Shan, C, Piccardi, M & Davis, L 2014, 'Special issue on background modeling for foreground detection in real-world dynamic scenes', Machine Vision and Applications, vol. 25, no. 5, pp. 1101-1103.
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Chan, KY, Ramer, R, Mansour, RR & Guo, YJ 2014, '60 GHz to E-Band Switchable Bandpass Filter', IEEE Microwave and Wireless Components Letters, vol. 24, no. 8, pp. 545-547.
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A novel reconfigurable millimeter-wave bandpass filter (BPF) capable of operating between 60 GHz and the E-band, with a good channel isolation, is presented. This fully integrated filter is designed with all reconfigurable elements embedded for compactness. A new method that increases fractional bandwidths is introduced. It uses inductively coupled invertersbut does not require tuning. New circuit models are provided for these inverters, reconfigurable resonators, and the reconfigurable bandstop stubs. The compact BPF achieved a footprint of only 4.75 mm × 3.75 mm. Measurements for the filters show good agreement with the simulation results. © 2014 IEEE.
Cheng, P, Chen, Z, Rui, Y, Guo, YJ & Guizani, M 2014, 'Limited Feedback Unitary Precoding for MIMO Full Stream Transmission', IEEE Transactions on Vehicular Technology, vol. 63, no. 8, pp. 4092-4096.
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© 2014 IEEE. Limited feedback precoding (LFP) significantly improves multiple-input-multiple-output (MIMO) spatial multiplexing link reliability with a small amount of feedback from the receiver back to the transmitter. One of the key problems with LFP is how to select an optimal precoder from a predetermined unitary codebook. We find that the conventional precoder selection criteria are not applicable to the full stream transmission mode with linear [zero forcing (ZF) and minimum mean square error (MMSE)] receivers. To solve this issue, a novel singular value decomposition (SVD)-based precoder selection criterion optimizing the bit error rate (BER) performance is proposed in this paper. The proposed criterion features a unified structure for both linear receivers and it can be calculated based on fast matrix computation algorithms. Its effectiveness in the full stream transmission mode is verified by simulation results.
Cui, H, Feng, C, Chai, Y, Liu, RP & Liu, Y 2014, 'Effect of hybrid circle reservoir injected with wavelet-neurons on performance of echo state network', Neural Networks, vol. 57, pp. 141-151.
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The Echo State Network (ESN) has attracted wide attention for its superior performance in chaos time-series prediction. However, the complicated ESN topologies and the random reservoirs are difficult to implement in practice. We propose a hybrid circle reservoir (HCR) ESN architecture that comprises the following features: (1) built with low complexity circle reservoir; (2) partly injected with wavelet-neurons; (3) uses fixed connection weights in both input matrix and dynamic reservoir matrix. The HCR model has been successfully applied to solve six application problems, and the results are used to compare with the existing low complexity simple circle reservoir (SCR) ESN. Furthermore, we analyze the performance of the new model under different ratios of wavelet-neurons, different circle distributions and different input sign patterns. Simulation results show that the HCR model achieves significantly better performance in prediction accuracy than the SCR model. Additionally, the HCR model has similar low complexity as the SCR. Moreover, the short-term memory capacity (MC) in the HCR is close to the theoretical optimal MC value. © 2014 Elsevier Ltd.
Cunha, I, Teixeira, R, Veitch, D & Diot, C 2014, 'DTRACK: A System to Predict and Track Internet Path Changes', IEEE/ACM Transactions on Networking, vol. 22, no. 4, pp. 1025-1038.
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In this paper, we implement and evaluate a system that predicts and tracks Internet path changes to maintain an up-to-date network topology. Based on empirical observations, we claim that monitors can enhance probing according to the likelihood of path changes. We design a simple predictor of path changes and show that it can be used to enhance probe targeting. Our path tracking system, called dtrack, focuses probes on unstable paths and spreads probes over time to minimize the chances of missing path changes. Our evaluations of dtrack with trace-driven simulations and with a prototype show that dtrack can detect up to three times more path changes than traditional traceroute-based topology mapping techniques. © 1993-2012 IEEE.
Ding, C, Guo, YJ, Qin, P-Y, Bird, TS & Yang, Y 2014, 'A Defected Microstrip Structure (DMS)-Based Phase Shifter and Its Application to Beamforming Antennas', IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, vol. 62, no. 2, pp. 641-651.
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In this paper, a beam-steering antenna array that employs a new type of reconfigurable phase shifter is presented. The phase shifter consists of a number of cascaded reconfigurable defected microstrip structure (DMS) units. Each DMS unit is made by etching a slot in a microstrip line and loading the slot with PIN diodes. The 'on' and 'off' states of the PIN diodes in the DMS unit provide the phase shifts by changing the current paths. Analyses on the performance of various phase shifters cascading different numbers of DMS units are conducted by both simulations and experiments. Using the proposed phase-shifter units and Wilkinson power dividers, a four-element beam-steering antenna array was designed, fabricated, and tested. Experimental results agree well with the simulated ones. The proposed antenna array employing DMS-based phase shifters offers a low-cost solution to beamforming in wireless communications. © 2013 IEEE.
Dong, XJ, Liu, EQ, Yang, J & Wu, Q 2014, 'Visible and infrared automatic image registration based on SLER', Hongwai Yu Haomibo Xuebao/Journal of Infrared and Millimeter Waves, vol. 33, no. 1, pp. 90-97.
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A novel approach to the problem of visible and infrared automatic image registration was proposed. The registration is performed by extracting affine covariant regions through same level extremal region (SLER) detector on a gray gradient image. Then, hypergraph matching algorithm was employed to obtain identical key points. The approach is especially suitable for registering multi-sensor infrared images where the quality of images or the corresponding edge maps are worse than the counterparts on a common optical image. Experiments performed on several challenging real image pair show that our proposed method achieves better performance than other approaches.
Gill, AQ 2014, 'Applying Agility and Living Service Systems Thinking to Enterprise Architecture.', Int. J. Intell. Inf. Technol., vol. 10, no. 1, pp. 1-15.
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Copyright © 2014, IGI Global. Adaptive enterprise architecture capability plays an important role in enabling complex enterprise transformations. One of the key challenges when establishing an adaptive enterprise architecture capability is identifying the enterprise context and the scope of the enterprise architecture. The objective of this paper is to develop and present an adaptive enterprise service system (AESS) conceptual model, which is a part of The Gill Framework for Adaptive Enterprise Service Systems. This model has been developed using a 'Design Research' approach. The AESS conceptual model assimilates agility, service, and living systems thinking (following multi-agent system modelling) for describing and analyzing the enterprise context and scope for establishing an adaptive enterprise architecture capability. The target audience of this AESS model driven approach includes both, enterprise architecture researchers and practitioners.
Gill, AQ 2014, 'Hybrid Adaptive Software Development Capability: An Empirical Study.', J. Softw., vol. 9, no. 10, pp. 2614-2621.
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Software intensive organisations require the integration of agility, people, process, product and tool elements for establishing a hybrid adaptive software development capability. This paper presents the results of the empirical study that has been conducted to identify the important underlying characteristics of the hybrid adaptive software development capability elements. Based on this investigation, the most critical and the least critical characteristics of the hybrid adaptive software development capability elements have been identified. The findings of this empirical study have several implications, and can be re-casted into making practical recommendations for establishing a situation-specific hybrid adaptive software development capability.
Gong, C, Fu, K, Wu, Q, Tu, E & Yang, J 2014, 'Semi-supervised classification with pairwise constraints', NEUROCOMPUTING, vol. 139, pp. 130-137.
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Graph-based semi-supervised learning has been intensively investigated for a long history. However, existing algorithms only utilize the similarity information between examples for graph construction, so their discriminative ability is rather limited. In order to overcome this limitation, this paper considers both similarity and dissimilarity constraints, and constructs a signed graph with positive and negative edge weights to improve the classification performance. Therefore, the proposed algorithm is termed as Constrained Semi-supervised Classifier (CSSC). A novel smoothness regularizer is proposed to make the 'must-linked' examples obtain similar labels, and 'cannot-linked' examples get totally different labels. Experiments on a variety of synthetic and real-world datasets demonstrate that CSSC achieves better performances than some state-of-the-art semi-supervised learning algorithms, such as Harmonic Functions, Linear Neighborhood Propagation, LapRLS, LapSVM, and Safe Semi-supervised Support Vector Machines. © 2014 Elsevier B.V.
Guo, L, Abbosh, A & Zhu, H 2014, 'Ultra‐wideband in‐phase power divider using stepped‐impedance three‐line coupled structure and microstrip‐to‐slotline transitions', Electronics Letters, vol. 50, no. 5, pp. 383-384.
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Hasan, MA, Min Xu, Xiangjian He & Changsheng Xu 2014, 'CAMHID: Camera Motion Histogram Descriptor and Its Application to Cinematographic Shot Classification', IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 10, pp. 1682-1695.
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© 1991-2012 IEEE. In this paper, we propose a nonparametric camera motion descriptor for video shot classification. In the proposed method, a motion vector field (MVF) is constructed for each consecutive video frame by computing the motion vector (MV) of each macroblock. Then, the MVFs are divided into a number of local region of equal size. Next, the inconsistent/noisy MVs of each local region are eliminated by a motion consistency analysis. The remaining MVs of each local region from a number of consecutive frames are further collected for a compact representation. Initially, a matrix is formed using the MVs. Then, the matrix is decomposed using a singular value decomposition technique to represent the dominant motion. Finally, the angle of the most variance retaining principal component is computed and quantized to represent the motion of a local region by using a histogram. In order to represent the global camera motion, the local histograms are combined. The effectiveness of the proposed motion descriptor for video shot classification is tested by using a support vector machine. First, the proposed camera motion descriptors for video shots classification are computed on a video data set consisting of regular camera motion patterns (e.g., pan, zoom, tilt, static). Then, we apply the camera motion descriptors with an extended set of features to the classification of cinematographic shots. The experimental results show that the proposed shot level camera motion descriptor has a strong discriminative capability to classify different camera motion patterns of different videos effectively. We also show that our approach outperforms state-of-the-art methods.
He, X, Zhu, X, Duan, L, Sun, Y & Ma, C 2014, 'A 14-mW PLL-Less Receiver in 0.18- <inline-formula> <tex-math notation='TeX'>$\mu\hbox{m}$</tex-math></inline-formula> CMOS for Chinese Electronic Toll Collection Standard', IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 61, no. 10, pp. 763-767.
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Hoang, DT, Niyato, D, Wang, P & Kim, DI 2014, 'Opportunistic Channel Access and RF Energy Harvesting in Cognitive Radio Networks', IEEE Journal on Selected Areas in Communications, vol. 32, no. 11, pp. 2039-2052.
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Radio frequency (RF) energy harvesting is a promising technique to sustain operations of wireless networks. In a cognitive radio network, a secondary user can be equipped with RF energy harvesting capability. In this paper, we consider such a network where the secondary user can perform channel access to transmit a packet or to harvest RF energy when the selected channel is idle or occupied by the primary user, respectively. We present an optimization formulation to obtain the channel access policy for the secondary user to maximize its throughput. Both the case that the secondary user knows the current state of the channels and the case that the secondary knows the idle channel probabilities of channels in advance are considered. However, the optimization requires model parameters (e.g., the probability of successful packet transmission, the probability of successful RF energy harvesting, and the probability of channel to be idle) to obtain the policy. To obviate such a requirement, we apply an online learning algorithm that can observe the environment and adapt the channel access action accordingly without any a prior knowledge about the model parameters. We evaluate both the efficiency and convergence of the learning algorithm. The numerical results show that the policy obtained from the learning algorithm can achieve the performance in terms of throughput close to that obtained from the optimization.
Jan, MA, Nanda, P, He, X & Liu, RP 2014, 'PASCCC: Priority-based application-specific congestion control clustering protocol', COMPUTER NETWORKS, vol. 74, no. PB, pp. 92-102.
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© 2014 Published by Elsevier B.V. All rights reserved. Wireless sensor networks comprise resource-starved sensor nodes, which are deployed to sense the environment, gather data, and transmit it to a base station (BS) for further processing. Cluster-based hierarchical-routing protocols are used to efficiently utilize the limited energy of the nodes by organizing them into clusters. Only cluster head (CH) nodes are eligible for gathering data in each cluster and transmitting it to a BS. Unbalanced clusters result in network congestion, thereby causing delay, packet loss, and degradation of Quality of Service (QoS) metrics. In this study, we propose a priority-based application-specific congestion control clustering (PASCCC) protocol, which integrates the mobility and heterogeneity of the nodes to detect congestion in a network. PASCCC decreases the duty cycle of each node by maintaining threshold levels for various applications. The transmitter of a sensor node is triggered when the reading of a specific captured event exceeds a specific threshold level. Time-critical packets are prioritized during congestion in order to maintain their timeliness requirements. In our proposed approach, CHs ensure coverage fidelity by prioritizing the packets of distant nodes over those of nearby nodes. A novel queue scheduling mechanism is proposed for CHs to achieve coverage fidelity, which ensures that the extra resources consumed by distant nodes are utilized effectively. The effectiveness of PASCCC was evaluated based on comparisons with existing clustering protocols. The experimental results demonstrated that PASCCC achieved better performance in terms of the network lifetime, energy consumption, data transmission, and other QoS metrics compared with existing approaches.
Ju, H & Zhang, R 2014, 'User Cooperation in Wireless Powered Communication Networks', IEEE Wireless Communications Letters, vol. 8, no. 2, pp. 632-635.
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This paper studies user cooperation in the emerging wireless poweredcommunication network (WPCN) for throughput optimization. For the purpose ofexposition, we consider a two-user WPCN, in which one hybrid access point(H-AP) broadcasts wireless energy to two distributed users in the downlink (DL)and the users transmit their independent information using their individuallyharvested energy to the H-AP in the uplink (UL) throughtime-division-multiple-access (TDMA). We propose user cooperation in the WPCNwhere the user which is nearer to the H-AP and has a better channel for DLenergy harvesting and UL information transmission uses part of its allocated ULtime and DL harvested energy to help to relay the far user's information to theH-AP, in order to achieve more balanced throughput optimization. We maximizethe weighted sum-rate (WSR) of the two users by jointly optimizing the time andpower allocations in the network for both wireless energy transfer in the DLand wireless information transmission and relaying in the UL. Simulationresults show that the proposed user cooperation scheme can effectively improvethe achievable throughput in the WPCN with desired user fairness.
Kusakunniran, W, Wu, Q, Zhang, J, Li, H & Wang, L 2014, 'Recognizing Gaits Across Views Through Correlated Motion Co-Clustering', IEEE Transactions on Image Processing, vol. 23, no. 2, pp. 696-709.
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Human gait is an important biometric feature, which can be used to identify a person remotely. However, view change can cause significant difficulties for gait recognition because it will alter available visual features for matching substantially. Moreover, it is observed that different parts of gait will be affected differently by view change. By exploring relations between two gaits from two different views, it is also observed that a part of gait in one view is more related to a typical part than any other parts of gait in another view. A new method proposed in this paper considers such variance of correlations between gaits across views that is not explicitly analyzed in the other existing methods. In our method, a novel motion co-clustering is carried out to partition the most related parts of gaits from different views into the same group. In this way, relationships between gaits from different views will be more precisely described based on multiple groups of the motion co-clustering instead of a single correlation descriptor. Inside each group, a linear correlation between gait information across views is further maximized through canonical correlation analysis (CCA). Consequently, gait information in one view can be projected onto another view through a linear approximation under the trained CCA subspaces. In the end, a similarity between gaits originally recorded from different views can be measured under the approximately same view. Comprehensive experiments based on widely adopted gait databases have shown that our method outperforms the state-of-the-art. © 2013 IEEE.
Liu, H, Zhu, X, Boon, CC, Yi, X, Mao, M & Yang, W 2014, 'Design of Ultra-Low Phase Noise and High Power Integrated Oscillator in $0.25~\mu{\rm m}$ GaN-on-SiC HEMT Technology', IEEE Microwave and Wireless Components Letters, vol. 24, no. 2, pp. 120-122.
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Traditionally, the majority of microwave oscillators are implemented on gallium arsenide (GaAs), indium phosphide (InP), or silicon germanium (SiGe) technology. As a result, they often have a relatively low output power level requiring the use of additional power amplifiers (PA). This leads to increased system complexity, cost and even causes reliability issues. Gallium nitride (GaN) high electron-mobility transistors (HEMTs) have been recognized as high power and high frequency device for next generation wireless, space, military and many other applications. The fundamental material properties of GaN allow much higher voltage handling and better heat sinking capability compared to InGaP and SiGe [1]. These material advantages enable oscillators to be realized with significant improvement in output power, potentially eliminating the need for additional PAs. Therefore, the research on high power integrated oscillator design in GaN HEMTs technology has attracted much attention in the literature [2]–[3][4][5][6][7][8].
Liu, RP, Sutton, GJ & Collings, IB 2014, 'WLAN Power Save with Offset Listen Interval for Machine-to-Machine Communications', IEEE Transactions on Wireless Communications, vol. 13, no. 5, pp. 2552-2562.
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Liu, X, Wang, L, Zhang, J, Yin, J & Liu, H 2014, 'Global and local structure preservation for feature selection', IEEE Transactions on Neural Networks and Learning Systems, vol. 25, no. 6, pp. 1083-1095.
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The recent literature indicates that preserving global pairwise sample similarity is of great importance for feature selection and that many existing selection criteria essentially work in this way. In this paper, we argue that besides global pairwise sample similarity, the local geometric structure of data is also critical and that these two factors play different roles in different learning scenarios. In order to show this, we propose a global and local structure preservation framework for feature selection (GLSPFS) which integrates both global pairwise sample similarity and local geometric data structure to conduct feature selection. To demonstrate the generality of our framework, we employ methods that are well known in the literature to model the local geometric data structure and develop three specific GLSPFS-based feature selection algorithms. Also, we develop an efficient optimization algorithm with proven global convergence to solve the resulting feature selection problem. A comprehensive experimental study is then conducted in order to compare our feature selection algorithms with many state-of-the-art ones in supervised, unsupervised, and semisupervised learning scenarios. The result indicates that: 1) our framework consistently achieves statistically significant improvement in selection performance when compared with the currently used algorithms; 2) in supervised and semisupervised learning scenarios, preserving global pairwise similarity is more important than preserving local geometric data structure; 3) in the unsupervised scenario, preserving local geometric data structure becomes clearly more important; and 4) the best feature selection performance is always obtained when the two factors are appropriately integrated. In summary, this paper not only validates the advantages of the proposed GLSPFS framework but also gains more insight into the information to be preserved in different feature selection tasks. © 2012 IEEE.
Lu, L, Du, H & Liu, RP 2014, 'CHOKeR: A Novel AQM Algorithm With Proportional Bandwidth Allocation and TCP Protection', IEEE Transactions on Industrial Informatics, vol. 10, no. 1, pp. 637-644.
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Although differentiated services (DiffServ) networks have been well discussed in the past several years, a conventional Active Queue Management (AQM) algorithm still cannot provide low-complexity and cost-effective differentiated bandwidth allocation in DiffServ. In this paper, a novel AQM scheme called CHOKeR is designed to protect TCP flows effectively. We adopt a method from CHOKeW to draw multiple packets randomly from the output buffer. CHOKeR enhances the drawing factor by using a multistep increase and single-step decrease (MISD) mechanism. In order to explain the features of CHOKeR, an analytical model is used, followed by extensive simulations to evaluate the performance of CHOKeR. The analytical model and simulation results demonstrate that CHOKeR achieves proportional bandwidth allocation between different priority levels, fairness guarantee among equal priority flows, and protection of TCP against high-speed unresponsive flows when network congestion occurs. © 2005-2012 IEEE.
Lu, S, Mei, T, Wang, J, Zhang, J, Wang, Z & Li, S 2014, 'Browse-to-Search', ACM Transactions on Information Systems, vol. 32, no. 4, pp. 1-27.
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With the development of image search technology, users are no longer satisfied with searching for images using just metadata and textual descriptions. Instead, more search demands are focused on retrieving images based on similarities in their contents (textures, colors, shapes etc.). Nevertheless, one image may deliver rich or complex content and multiple interests. Sometimes users do not sufficiently define or describe their seeking demands for images even when general search interests appear, owing to a lack of specific knowledge to express their intents. A new form of information seeking activity, referred to as exploratory search, is emerging in the research community, which generally combines browsing and searching content together to help users gain additional knowledge and form accurate queries, thereby assisting the users with their seeking and investigation activities. However, there have been few attempts at addressing integrated exploratory search solutions when image browsing is incorporated into the exploring loop. In this work, we investigate the challenges of understanding users' search interests from the images being browsed and infer their actual search intentions. We develop a novel system to explore an effective and efficient way for allowing users to seamlessly switch between browse and search processes, and naturally complete visual-based exploratory search tasks. The system, called Browse-to-Search enables users to specify their visual search interests by circling any visual objects in the webpages being browsed, and then the system automatically forms the visual entities to represent users' underlying intent. One visual entity is not limited by the original image content, but also encapsulated by the textual-based browsing context and the associated heterogeneous attributes. We use large-scale image search technology to find the associated textual attributes ...
Matekovits, L & Bird, TS 2014, 'Width-Modulated Microstrip-Line Based Mantle Cloaks for Thin Single- and Multiple Cylinders', IEEE Transactions on Antennas and Propagation, vol. 62, no. 5, pp. 2606-2615.
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A thin mantle cloak is described for electromagnetic footprint reduction for arrays of thin cylinders. The cloaking is obtained by covering the conformal geometry with a metasurface having as a unit cell that is a width modulated microstrip line. Enfoldings at different angles have been considered and numerically studied both for single and multiple cylinders. Frequency scalability and polarization sensitivity of the geometry has also been considered. Experimental results obtained at K-band are in good agreement with numerical data and demonstrate the applicability of the proposed approach for wide-band (≈ 16%) cloaking applications. The performance of the proposed solution has been compared with available data in the literature, and its superiority has been demonstrated. © 2014 IEEE.
Min, W, Xu, C, Xu, M, Xiao, X & Bao, B-K 2014, 'Mobile Landmark Search with 3D Models', IEEE Transactions on Multimedia, vol. 16, no. 3, pp. 623-636.
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Landmark search is crucial to improve the quality of travel experience. Smart phones make it possible to search landmarks anytime and anywhere. Most of the existing work computes image features on smart phones locally after taking a landmark image. Compared with sending original image to the remote server, sending computed features saves network bandwidth and consequently makes sending process fast. However, this scheme would be restricted by the limitations of phone battery power and computational ability. In this paper, we propose to send compressed (low resolution) images to remote server instead of computing image features locally for landmark recognition and search. To this end, a robust 3D model based method is proposed to recognize query images with corresponding landmarks. Using the proposed method, images with low resolution can be recognized accurately, even though images only contain a small part of the landmark or are taken under various conditions of lighting, zoom, occlusions and different viewpoints. In order to provide an attractive landmark search result, a 3D texture model is generated to respond to a landmark query. The proposed search approach, which opens up a new direction, starts from a 2D compressed image query input and ends with a 3D model search result.
Moghaddam, Z & Piccardi, M 2014, 'Training Initialization of Hidden Markov Models in Human Action Recognition', IEEE Transactions on Automation Science and Engineering, vol. 11, no. 2, pp. 394-408.
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Human action recognition in video is often approached by means of sequential probabilistic models as they offer a natural match to the temporal dimension of the actions. However, effective estimation of the models' parameters is critical if one wants to achieve significant recognition accuracy. Parameter estimation is typically performed over a set of training data by maximizing objective functions such as the data likelihood or the conditional likelihood. However, such functions are nonconvex in nature and subject to local maxima. This problem is major since any solution algorithm (expectation- maximization, gradient ascent, variational methods and others) requires an arbitrary initialization and can only find a corresponding local maximum. Exhaustive search is otherwise impossible since the number of local maxima is unknown. While no theoretical solutions are available for this problem, the only practicable mollification is to repeat training with different initializations until satisfactory cross-validation accuracy is attained. Such a process is overall empirical and highly time-consuming. In this paper, we propose two methods for one-off initialization of hidden Markov models achieving interesting tradeoffs between accuracy and training time. Experiments over three challenging human action video datasets (Weizmann, MuHAVi and Hollywood Human Actions) and with various feature sets measured from the frames (STIP descriptors, projection histograms, notable contour points) prove that the proposed one-off initializations are capable of achieving accuracy above the average of repeated random initializations and comparable to the best. In addition, the methods proposed are not restricted solely to human action recognition as they suit time series classification as a general problem. © 2004-2012 IEEE.
Mohammadi, MS, Dutkiewicz, E, Zhang, Q & Huang, X 2014, 'Optimal Energy Efficiency Link Adaptation in IEEE 802.15.6 IR-UWB Body Area Networks', IEEE Communications Letters, vol. 18, no. 12, pp. 2193-2196.
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© 2014 IEEE. We propose a novel link adaptation mechanism to maximize energy efficiency in IEEE 802.15.6 impulse radio ultra wideband (IR-UWB) wireless body area networks (WBANs). We consider noncoherent energy detection and autocorrelation receivers, suitable for low complexity implementations. The amount of captured energy is first modeled for the on-body WBAN channel. Using our energy capture model and Gaussian approximations for the decision statistic, the error performance of various physical layer modes of the IEEE 802.15.6 standard is derived assuming intra-symbol interference. We refer to the IEEE 802.15.6 specification as a use case. The proposed adaptation scheme can be applied to any other IR-UWB system with noncoherent receivers and is based on the estimated signal to noise ratio and the channel's energy capture index for which we propose unbiased estimators.
Mohammadi, MS, Zhang, Q, Dutkiewicz, E & Huang, X 2014, 'Optimal Frame Length to Maximize Energy Efficiency in IEEE 802.15.6 UWB Body Area Networks', IEEE Wireless Communications Letters, vol. 3, no. 4, pp. 397-400.
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Energy efficiency is a major requirement in wireless body area networks (WBANs). In this letter, we optimize the length of the medium access control (MAC) frame body to maximize the energy efficiency in IEEE 802.15.6 ultra-wideband (UWB) WBANs. To achieve this, we derive the probability of packet detection as well as the probability of successful reception of the physical layer header and data payload for the two UWB physical layer modes i.e., the default mode and the high QoS mode. The analysis includes the impact of forward error correction and type II hybrid ARQ on the packet success rate. We further extend the existing model of energy efficiency by incorporating separate energy consumption costs for uplink and downlink channels as well as data transmission and reception. The correctness of the theoretical model is assessed and verified by means of system level simulations, and a closed form expression for optimal frame length is given for the default mode. © 2012 IEEE.
Movassaghi, S, Abolhasan, M, Lipman, J, Smith, D & Jamalipour, A 2014, 'Wireless Body Area Networks: A Survey', IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, vol. 16, no. 3, pp. 1658-1686.
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Recent developments and technological advancements in wireless communication, MicroElectroMechanical Systems (MEMS) technology and integrated circuits has enabled low-power, intelligent, miniaturized, invasive/non-invasive micro and nano-technology sensor nodes strategically placed in or around the human body to be used in various applications, such as personal health monitoring. This exciting new area of research is called Wireless Body Area Networks (WBANs) and leverages the emerging IEEE 802.15.6 and IEEE 802.15.4j standards, specifically standardized for medical WBANs. The aim of WBANs is to simplify and improve speed, accuracy, and reliability of communication of sensors/actuators within, on, and in the immediate proximity of a human body. The vast scope of challenges associated with WBANs has led to numerous publications. In this paper, we survey the current state-of-art of WBANs based on the latest standards and publications. Open issues and challenges within each area are also explored as a source of inspiration towards future developments in WBANs. © 2014 IEEE.
Nguyen, DN & Krunz, M 2014, 'A Cooperative MIMO Framework for Wireless Sensor Networks', ACM Transactions on Sensor Networks, vol. 10, no. 3, pp. 1-28.
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We explore the use of cooperative multi-input multi-output (MIMO) communications to prolong the lifetime of a wireless sensor network (WSN). Single-antenna sensor nodes are clustered into virtual antenna arrays that can act as virtual MIMO (VMIMO) nodes. We design a distributed cooperative clustering protocol (CCP), which exploits VMIMO's diversity gain by optimally selecting the cooperating nodes (CNs) within each cluster and balancing their energy consumption. The problem of optimal CN selection at the transmit and receive clusters is formulated as a nonlinear binary program. Aiming at minimizing the imbalance in the residual energy at various nodes, we decompose this problem into two subproblems: finding the optimal number of CNs (ONC) in a cluster and the CN assignment problem. For the ONC problem, we first analyze the energy efficiency of two widely used VMIMO methods: distributed Space Time Block Code (DSTBC) and distributed Vertical-Bell Laboratories-Layered-Space-Time (DVBLAST). Our analysis provides an upper bound on the optimal number of CN nodes, which greatly reduces the computational complexity of the ONC problem. The second subproblem is addressed by assigning CNs based on the residual battery energy. To make CCP scalable to large WSNs, we propose a multihop energy-balanced routing mechanism for clustered WSNs (C-EBR) with a novel cost metric. Finally, we derive sufficient conditions on the intra- and intercluster ranges, under which CCP guarantees connectivity of the intercluster topology. Extensive simulations show that the proposed approach dramatically improves the network lifetime.
Ni, W, Collings, IB, Liu, RP & Chen, Z 2014, 'Relay-Assisted Wireless Communication Systems in Mining Vehicle Safety Applications', IEEE Transactions on Industrial Informatics, vol. 10, no. 1, pp. 615-627.
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Relays enabled with multiuser MIMO techniques have great potential to mining vehicle safety applications. However, they are yet to be practical due to high scheduling overhead in mobile, radio-unfriendly, mining environments. A new decentralized relay-assisted multiuser MIMO approach is proposed, which cuts the overhead by 80% and enables relay-assisted multiuser MIMO to be implemented in practice. This approach is a new distributed participatory downlink transmission method, where both the relays and destinations participate in the scheduling decisions. A new recursive algorithm is also developed to optimally quantize the channel conditions of the vehicles, thereby minimizing the feedback requirement. Analytical results, confirmed by simulations, show that the proposed approach is able to achieve 97.6% of the sum-rate upper bound of the network, using only three bits to characterize the channel condition of each vehicle. In terms of throughput, the proposed decentralized scheme can perform 45.2% better than the existing centralized scheme. The proposed approach is compatible with industrial communication standards and can be implemented with commercial industrial communication systems. © 2005-2012 IEEE.
Ni, W, Collings, IB, Wang, X & Liu, RP 2014, 'Multi-hop point-to-point FDD wireless backhaul for mobile small cells', IEEE Wireless Communications, vol. 21, no. 4, pp. 88-96.
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Point-to-point FDD microwave can be a fastto- install and cost-effective backhaul solution for mobile small cells. However, its applications have been held back, because the state-of-the-art static backhaul deployment fails to capture drastically fluctuating small cell traffic. To address this issue we introduce a new adaptive backhaul architecture that is able to adapt to changing small cell traffic. Extended from a graph theoretic clique idea, the architecture allows changes to the overall backhaul topology, and it also allows each individual backhaul link to vary its frequency to meet traffic demand. Guard bands are adaptively reserved between some of the links to suppress adjacent-frequency interference, while being efficiently used by other links for data transmission. Our case study of 10 small cells confirms that the adaptive architecture is able to increase the small cell throughput by 75 percent compared to the static backhaul architecture. It can also reduce the backhaul bandwidth requirement by 57 percent, and enhance small cells¿ satisfaction by 158.4 percent with respect to their allocated bandwidths. © 2002-2012 IEEE.
Ni, W, Liu, RP, Biswas, J, Wang, X, Collings, IB & Jha, SK 2014, 'Multiuser MIMO Scheduling for Mobile Video Applications', IEEE Transactions on Wireless Communications, vol. 13, no. 10, pp. 5382-5395.
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© 2014 IEEE. Bandwidth-demanding mobile video applications are becoming increasingly popular in wireless networks, leading to a relentless growth in the demand for wireless throughput and quality of service (QoS). Multiuser Multiple-Input Multiple-Output (MIMO) has great potential to meet the growth of wireless throughput. However, this advancement in physical-layer technologies does not necessarily translate into better QoS for the applications, unless the design principles and operating protocols at the higher layers of the networking stack are adapted accordingly to fully capture this potential. We propose a new scheduling algorithm, which selectsmobile users to form multiuser MIMO based on the priorities we carefully design to leverage the demands of wireless throughput and video quality. We also develop a new computationally efficient parallel technique to calculate the priorities precisely, which allows the users to be selected in a computationally effective way. Analyses and simulations show that the proposed scheme allows video applications to achieve close to the throughput upper bound of multiuser MIMO. Our scheme also improves the video quality by reducing the loss of video enhancement packets by an order of magnitude and by reducing the delay by 35%, compared to the state of the art.
Qimei Cui, Yulong Shi, Xiaofeng Tao, Ping Zhang, Ren Liu, Ningyu Chen, Hamalainen, J & Dowhuszko, A 2014, 'A unified protocol stack solution for LTE and WLAN in future mobile converged networks', IEEE Wireless Communications, vol. 21, no. 6, pp. 24-33.
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© 2002-2012 IEEE. The interworking of the LTE system and WLAN technologies has drawn much attention lately, due to the growing demands for various multimedia services and large data traffic in hotspot areas. Existing research studies have mostly investigated the coupling architectures for these two wireless communication standards at the network layer. However, in the current architectures, many important coordination functions and joint optimizations cannot be accomplished efficiently. To tackle this problem, a new CBS solution is proposed, which integrates different RATs at layer 2 in the true sense of convergence. We design a unified protocol stack that includes all the original functions of both LTE and WLAN systems. Then we propose a convergence architecture, the RMC sublayer, for joint management of these two RATs. The proposed CBS solution can support seamless offloading through soft handover, guaranteed QoS, forwarding management by a single IP address, and customized bandwidth aggregation service. Finally, our simulation and initial experiment results demonstrate the feasibility and efficiency of the CBS solution in future mobile converged networks.
Rezazadeh, J, Moradi, M, Ismail, AS & Dutkiewicz, E 2014, 'Superior Path Planning Mechanism for Mobile Beacon-Assisted Localization in Wireless Sensor Networks', IEEE Sensors Journal, vol. 14, no. 9, pp. 3052-3064.
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In many wireless sensor network applications, such as warning systems or healthcare services, it is necessary to update the captured data with location information. A promising solution for statically deployed sensors is to benefit from mobile beacon-assisted localization. The main challenge is to design and develop an optimum path planning mechanism for a mobile beacon to decrease the required time for determining location, increase the accuracy of the estimated position, and increase the coverage. In this paper, we propose a novel superior path planning mechanism called Z-curve. Our proposed trajectory can successfully localize all deployed sensors with high precision and the shortest required time for localization. We also introduce critical metrics, including the ineffective position rate for further evaluation of mobile beacon trajectories. In addition, we consider an accurate and reliable channel model, which helps to provide more realistic evaluation. Z-curve is compared with five existing path planning schemes based on three different localization techniques such as weighted centroid localization and trilateration with time priority and accuracy priority. Furthermore, the performance of the Z-curve is evaluated at the presence of obstacles and Z-curve obstacle-handling trajectory is proposed to mitigate the obstacle problem on localization. Simulation results show the advantages of our proposed path planning scheme over the existing schemes. © 2001-2012 IEEE.
Sabbagh, AAL, Braun, R & Abolhasan, M 2014, 'Intelligent Hybrid Cheapest Cost and Mobility Optimization RAT Selection Approaches for Heterogeneous Wireless Networks', Journal of Networks, vol. 9, no. 2, pp. 297-305.
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The evolution of wireless networks has led to the deployment of different Radio Access Technologies (RATs) such as UMTS Terrestrial Radio Access Network (UTRAN), Long Term Evolution (LTE), Wireless Local Area Network (WLAN) and Mobile Worldwide Interoperability for Microwave Access (WiMAX) which are integrated through a common platform. Common Radio Resource Management (CRRM) was proposed to manage radio resource utilization in heterogeneous wireless networks and to provide the required Quality of Service (QoS) for allocated calls. RAT selection algorithms are an integral part of the CRRM algorithms. Their role is to decide, when a new or Vertical Handover (VHO) call is requested, which of the available RATs is most suitable to fit the need of the incoming call and when to admit them. This paper extends our earlier work on the proposed intelligent mobility optimization and proposes an intelligent hybrid cheapest cost RAT selection approach which aims to increase users' satisfaction by allocation users that are looking for cheapest cost connections to a RAT that offers the cheapest cost of service. A comparison for the performance of centralized load-balancing, proposed and distributed cheapest cost and mobility optimization algorithms is presented. Simulation results show that the proposed intelligent algorithms perform better than the centralized load-balancing and the distributed algorithms. © 2014 Academy Publisher.
Sabbagh, AAL, Braun, R & Abolhasan, M 2014, 'Performance Analysis of the Intelligent Mobility Optimization CRRM Approach Using a Markovian Chain Model', Journal of Networks, vol. 9, no. 3, pp. 635-644.
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Due to the increasing demand of wireless services, mobile technology has rapidly progressed towards the fourth generation (4G) networking paradigm. This generation will be heterogeneous in nature and it can be achieved through the integration of different Radio Access Technologies (RATs) over a common platform. Common Radio Resource Management (CRRM) was proposed to manage radio resource utilization in heterogeneous wireless networks and to provide required Quality of Service (QoS) for allocated calls. RAT selection algorithms are an integral part of the CRRM algorithms. Their role is to decide, when a new or Vertical Handover (VHO) call is requested, which of the available RATs is most suitable to fit the need of the incoming call and when to admit them. This paper extends our earlier work on the proposed intelligent hybrid mobility optimization RAT selection approach which allocates users in high mobility to the most suitable RAT and proposes an analytical presentation of the proposed approach in a multidimensional Markov chain model. A comparison for the performance of centralized load-balancing, distributed and the proposed intelligent mobility optimization algorithms is presented in terms of new calls blocking probability, VHO calls dropping probability, users' satisfactions probability, average networks load and average system throughput. Simulation and analytical results show that the proposed algorithm performs better than the centralized loadbalancing and distributed algorithms. © 2014 ACADEMY PUBLISHER.
Sun, Z, Esselle, KP, Zhong, S-S & Guo, YJ 2014, 'SHARED-APERTURE DUAL-BAND DUAL-POLARIZATION ARRAY USING SANDWICHED STACKED PATCH', Progress In Electromagnetics Research C, vol. 52, pp. 183-195.
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An L/C dual-band dual-polarized (DBDP) shared aperture microstrip array is proposed in the paper. In the array, the sandwiched stacked patch is employed for the L-band element to exploit the bandwidth for given element thickness. Several key issues regarding the proposed structure are discussed, including: 1) benefit of proposed L band sandwiched stacked patch; 2) C-band feeding method; 3) radiation performance in both bands. A prototype array of L/C DBDP sandwiched stacked patch is designed and fabricated to verify the feasibility of the proposed structure, where the measured data are presented in the paper. © 2010 EMW Publishing. All Rights Reserved.
Tan, Z, Nagar, UT, He, X, Nanda, P, Liu, RP, Wang, S & Hu, J 2014, 'Enhancing Big Data Security with Collaborative Intrusion Detection', IEEE Cloud Computing, vol. 1, no. 3, pp. 27-33.
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© 2014 IEEE. Big data, often stored in cloud networks, is changing our business models and applications. Rich information residing in big data is driving business decision making to be a data-driven process. The security and privacy of this data, however, have always been a concern of the data owners. Securing cloud computing environments could strengthen data security and privacy. Doing so requires a comprehensive security solution, from attack prevention to attack detection. Intrusion detection systems (IDSs) are playing an increasingly important role in network security schemes. This article studies vulnerabilities in cloud computing and proposes a collaborative IDS framework to enhance the security and privacy of big data.
Tan, Z, Nagar, UT, He, X, Nanda, P, Liu, RP, Wang, S & Hu, J 2014, 'Enhancing Big Data Security with Collaborative Intrusion Detection', IEEE CLOUD COMPUTING, vol. 1, no. 3, pp. 27-33.
Thi, TH, Wang, L, Ye, N, Zhang, J, Maurer-Stroh, S & Cheng, L 2014, 'Recognizing flu-like symptoms from videos', BMC Bioinformatics, vol. 15, no. 1, pp. 1-10.
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BACKGROUND: Vision-based surveillance and monitoring is a potential alternative for early detection of respiratory disease outbreaks in urban areas complementing molecular diagnostics and hospital and doctor visit-based alert systems. Visible actions representing typical flu-like symptoms include sneeze and cough that are associated with changing patterns of hand to head distances, among others. The technical difficulties lie in the high complexity and large variation of those actions as well as numerous similar background actions such as scratching head, cell phone use, eating, drinking and so on. RESULTS: In this paper, we make a first attempt at the challenging problem of recognizing flu-like symptoms from videos. Since there was no related dataset available, we created a new public health dataset for action recognition that includes two major flu-like symptom related actions (sneeze and cough) and a number of background actions. We also developed a suitable novel algorithm by introducing two types of Action Matching Kernels, where both types aim to integrate two aspects of local features, namely the space-time layout and the Bag-of-Words representations. In particular, we show that the Pyramid Match Kernel and Spatial Pyramid Matching are both special cases of our proposed kernels. Besides experimenting on standard testbed, the proposed algorithm is evaluated also on the new sneeze and cough set. Empirically, we observe that our approach achieves competitive performance compared to the state-of-the-arts, while recognition on the new public health dataset is shown to be a non-trivial task even with simple single person unobstructed view. CONCLUSIONS: Our sneeze and cough video dataset and newly developed action recognition algorithm is the first of its kind and aims to kick-start the field of action recognition of flu-like symptoms from videos. It will be challenging but necessary in future developments to consider more complex real-life scenario of detecting ...
Wang, D, Yuan, C, Sun, Y, Zhang, J & Jin, X 2014, 'A fast mode decision algorithm applied to Coarse-Grain quality Scalable Video Coding', Journal of Visual Communication and Image Representation, vol. 25, no. 7, pp. 1631-1639.
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© 2014 Elsevier Inc. All rights reserved. A fast mode decision algorithm is proposed for a Coarse-Grain Scalable (CGS) video encoder based on the encoding characteristics of quality Scalable Video Coding (SVC). First, candidate modes and coding orders are predicted, based on inter-layer and spatial correlations. Three early termination methods are then proposed based on CGS encoding structure. Finally, all candidate modes are checked sequentially, according to their predicted order with three early termination conditions, to improve the coding speed. Experimental results have demonstrated that the proposed algorithm could reduce the encoding time by an average of 84.39%, with negligible coding efficiency losses.
Wang, J, Xu, M, He, X, Lu, H & Hoang, D 2014, 'A hybrid domain enhanced framework for video retargeting with spatial–temporal importance and 3D grid optimization', Signal Processing, vol. 94, pp. 33-47.
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Recently, a ubiquitous video access is highly demanded for online video applications. One big challenge is that video service needs to adapt different device capabilities. Pervasive multimedia devices require an accurate and user comfort video retargeting. Letting users see their preferred content accurately directly affects their comforts. User preferences on video contents are different in various video domains. In this paper, we present a hybrid framework of video retargeting with a domain enhanced spatial-temporal grid optimisation. First, we parse videos from low-level features to high-level visual concepts, combining with visual attention for an accurate importance description. Second, a semantic importance map is built up representing the spatial importance and temporal continuity, which is incorporated with a 3D rectilinear grid scaleplate to map frames to a target display, thereby keeping the aspect ratio of semantically salient objects as well as the perceptual coherency. Extensive evaluations are made on five typical video genres, i.e. sports, advertisements, lecture, news and surveillance. The comparison with the state-of-the-art approaches on both images and videos have demonstrated the advantages of the proposed approach.
Wazirali, RA, Alzughaibi, AD & Chaczko, Z 2014, 'Adaptation of Evolutionary Algorithms for Decision Making on Building Construction Engineering (TSP Problem)', International Journal of Electronics and Telecommunications, vol. 60, no. 1, pp. 113-116.
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Abstract The report revolve on building construction engineering and management, in which there are a lot of requirements such as well supervision and accuracy and being in position to forecast uncertainties that may arise and mechanisms to solve them. It also focuses on the way the building and construction can minimise the cost of building and wastages of materials. The project will be based of heuristic methods of Artificial Intelligence (AI). There are various evolution methods, but report focus on two experiments Pattern Recognition and Travelling Salesman Problem (TSP). The Pattern Recognition focuses Evolutionary Support Vector Machine Inference System for Construction Management. The construction is very dynamic are has a lot of uncertainties, no exact data this implies that the inference should change according to the environment so that it can fit the reality, therefore there a need of Support Vector Machine Inference System to solve these problems. TSP focus on reducing cost of building construction engineering and also reduces material wastages, through its principals of finding the minimum cost path of the salesman.
Wei, F, Guo, YJ, Qin, P-Y & Shi, XW 2014, 'WIDEBAND BANDPASS FILTER WITH A BROAD STOPBAND BASED ON A TRIPLE-MODE STUB-LOADED RESONATOR', MICROWAVE AND OPTICAL TECHNOLOGY LETTERS, vol. 56, no. 12, pp. 2878-2881.
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A compact wideband bandpass filter (BPF) with a broad stopband (4.1 f0) based on a triple-mode stub-loaded resonator (SLR) is presented in this article. Using even/odd mode analysis, the proposed SLR is found to have the ability to introduce three transmission poles in the passband. By appropriately adjusting the frequencies of these transmission poles and using a 0° tapped feed structure, the BPF can provide a wide passband and a sharp rejection over a broad stopband without using other lowpass or bandstop networks. The predicted results on S-parameters are compared with measured ones and good agreement is achieved. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:2878–2881, 2014
Wei, F, Jay Guo, Y & Shi, XW 2014, 'Compact balanced UWB bandpass filter with one narrow notched band', Microwave and Optical Technology Letters, vol. 56, no. 7, pp. 1626-1629.
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ABSTRACTA compact balanced ultra‐wideband bandpass filter (BPF) with one sharply notched band is presented in this article. The proposed BPF based on microstrip‐to‐slotline transition obtains favorable uniform differential‐mode response and good common‐mode suppression. Moreover, one narrow notched band with a 3 dB bandwidth of 6.8% is realized by introducing one coupled half‐wavelength resonator. The fabricated filter has a more than 25% size reduction compared to the designs reported in open literature. The predicted results are compared with measured ones and good agreement is achieved. © 2014 Wiley Periodicals, Inc. Microwave Opt Technol Lett 56:1626–1629, 2014
Wu, L, Cao, L, Xu, M & Wang, J 2014, 'A Hybrid Image Retargeting Approach via Combining Seam Carving and Grid Warping', Journal of Multimedia, vol. 9, no. 4, pp. 482-492.
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Image retargeting is a critical technique for browsing images in diversified terminals. In this paper, we propose a hybrid image resizing approach by jointly using seam carving and warping. Firstly, based on the importance partition with the saliency map, we apply a weighted seam carving approach to make the seams distributed dispersedly in the important regions. Then we propose Content Aware Image Distance (CAID) to assess the deformation caused by removing seams. The weighted seam carving will stop with a fixed threshold to assure little visual image quality degradation. Finally, the grid based warping is utilized to achieve the final size with a global optimization model, since warping tends to avoid discontinuity artifacts of important region and typically make the distortion distribution of unimportant region more coherently. Experiments and comparison in the public RetargetMe dataset [1] with Dong [2], Energy-based deformation [3], Multi-operator [4], SeamCarving [5], Simple scaling operator, Shift-maps [6], Scale and Stretch [7], Streaming Video [8], Non-homogeneous warping [9], show the superiority of the proposed approach.
Xu, J, Wu, Q, Zhang, J & Tang, Z 2014, 'Exploiting Universum data in AdaBoost using gradient descent', Image and Vision Computing, vol. 32, no. 8, pp. 550-557.
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Recently, Universum data that does not belong to any class of the training data, has been applied for training better classifiers. In this paper, we address a novel boosting algorithm called UAdaBoost that can improve the classification performance of AdaBoost with Universum data. UAdaBoost chooses a function by minimizing the loss for labeled data and Universum data. The cost function is minimized by a greedy, stagewise, functional gradient procedure. Each training stage of UAdaBoost is fast and efficient. The standard AdaBoost weights labeled samples during training iterations while UAdaBoost gives an explicit weighting scheme for Universum samples as well. In addition, this paper describes the practical conditions for the effectiveness of Universum learning. These conditions are based on the analysis of the distribution of ensemble predictions over training samples. Experiments on handwritten digits classification and gender classification problems are presented. As exhibited by our experimental results, the proposed method can obtain superior performances over the standard AdaBoost by selecting proper Universum data. © 2014 Elsevier B.V.
Xu, J, Wu, Q, Zhang, J, Shen, F & Tang, Z 2014, 'Boosting Separability in Semisupervised Learning for Object Classification', IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 7, pp. 1197-1208.
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Boosting algorithms, especially AdaBoost, have attracted great attention in computer vision. In the early version of boosting algorithms, the weak classifier selection and the strong classifier learning are linked together. It has been demonstrated that decoupling of these two processes can provide more flexibility for training a better classifier. In these studies, linear discriminant analysis (LDA) has been adopted to select weak classifiers independently based on class separability rather than a training error that occurs normally in AdaBoost. It is observed that LDA is successful only if a large number of labeled training samples is available. However, a large-scale labeled training set is not always available in many computer vision applications such as object classification. To tackle this problem, this paper proposes semisupervised subspace learning combined with a boosting framework for object classification, through which unlabeled data can participate in the boosting training to compensate for the lack of enough labeled data. With the proposed framework, this paper develops three various approaches that utilize unlabeled data in different ways. According to the experiments on several public image data sets, the proposed methods achieve superior performance over AdaBoost and existing semisupervised algorithms. © 1991-2012 IEEE.
Xu, M, Wang, J, He, X, Jin, JS, Luo, S & Lu, H 2014, 'A three-level framework for affective content analysis and its case studies', Multimedia Tools and Applications, vol. 70, no. 2, pp. 757-779.
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Emotional factors directly reflect audiences' attention, evaluation and memory. Recently, video affective content analysis attracts more and more research efforts. Most of the existing methods map low-level affective features directly to emotions by applying machine learning. Compared to human perception process, there is actually a gap between low-level features and high-level human perception of emotion. In order to bridge the gap, we propose a three-level affective content analysis framework by introducing mid-level representation to indicate dialog, audio emotional events (e.g., horror sounds and laughters) and textual concepts (e.g., informative keywords). Mid-level representation is obtained from machine learning on low-level features and used to infer high-level affective content. We further apply the proposed framework and focus on a number of case studies. Audio emotional event, dialog and subtitle are studied to assist affective content detection in different video domains/genres. Multiple modalities are considered for affective analysis, since different modality has its own merit to evoke emotions. Experimental results shows the proposed framework is effective and efficient for affective content analysis. Audio emotional event, dialog and subtitle are promising mid-level representations. © 2012 Springer Science+Business Media, LLC.
Yu, K, Oppermann, I, Dutkiewicz, E, Sharp, I & Retscher, G 2014, 'Indoor navigation and tracking', Physical Communication, vol. 13, pp. 1-3.
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Yue, XD, Miao, DQ, Cao, LB, Wu, Q & Chen, YF 2014, 'An efficient color quantization based on generic roughness measure', Pattern Recognition, vol. 47, no. 4, pp. 1777-1789.
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Color quantization is a process to compress image color space while minimizing visual distortion. The quantization based on preclustering has low computational complexity but cannot guarantee quantization precision. The quantization based on postclustering can produce high quality quantization results. However, it has to traverse image pixels iteratively and suffers heavy computational burden. Its computational complexity was not reduced although the revised versions have improved the precision. In the work of color quantization, balancing quantization quality and quantization complexity is always a challenging point. In this paper, a two-stage quantization framework is proposed to achieve this balance. In the first stage, high-resolution color space is initially compressed to a condensed color space by thresholding roughness indices. Instead of linear compression, we propose generic roughness measure to generate the delicate segmentation of image color. In this way, it causes less distortion to the image. In the second stage, the initially compressed colors are further clustered to a palette using Weighted Rough K-means to obtain final quantization results. Our objective is to design a postclustering quantization strategy at the color space level rather than the pixel level. Applying the quantization in the precisely compressed color space, the computational cost is greatly reduced; meanwhile, the quantization quality is maintained. The substantial experimental results validate the high efficiency of the proposed quantization method, which produces high quality color quantization while possessing low computational complexity. © 2013 Elsevier Ltd.
Yuwei Wu, Bo Ma, Min Yang, Jian Zhang & Yunde Jia 2014, 'Metric Learning Based Structural Appearance Model for Robust Visual Tracking', IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 5, pp. 865-877.
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Zeng, C, Jia, W, He, X & Zhang, L 2014, 'Text Detection in Born-Digital Images Using IT-LBP', Journal of Algorithms & Computational Technology, vol. 8, no. 1, pp. 127-142.
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Fine text detection plays a crucial role in a text detection algorithm as it is capable of removing the false alarms while keeping the detected text lines in coarse text detection. Good performance of a machine learning-based fine text detection heavily depends on the powerful feature to depict the characteristics of text. In this paper, a novel texture-based descriptor, named IT-LBP, is proposed by considering horizontal, vertical, diagonal and anti-diagonal directions of character strokes to better describe the texture of text. The new feature demonstrates its superiority by comparing with other texture-based features. The new feature is used to train an SVM classifier to further filter out non-text candidates. The ICDAR 2011 born-digital image dataset is used to evaluate and demonstrate the performance of the proposed method. Following the same performance evaluation criteria, the proposed method outperforms the winner algorithm of the ICDAR 2011 Robust Reading Competition Challenge 1.
Zhang, JA, Cheng, P, Weily, AR & Guo, YJ 2014, 'Towards 5th generation cellular mobile networks', Australian Journal of Telecommunications and the Digital Economy, vol. 2, no. 2, pp. 1-15.
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Cellular mobile networks have enabled ubiquitous communications and largely changed the way we live and work. At the same time, the network itself has been undergoing significant changes in the process of meeting our ever increasing demands on data rate and quality of service. In this article, we show the path of the evolution in both standards and techniques, and provide our vision for the future of the cellular networks. We review the evolution of international standards for cellular mobile networks in the last two decades, describe how the network layout has been migrating from rigid cellular architecture to random and dense small cells, and provide an indepth discussion on potential enabling techniques for the next generation (5G) cellular networks, particularly massive MIMO and multiband base-station antennas.
Zhiyuan Tan, Jamdagni, A, Xiangjian He, Nanda, P & Ren Ping Liu 2014, 'A System for Denial-of-Service Attack Detection Based on Multivariate Correlation Analysis', IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 2, pp. 447-456.
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Interconnected systems, such as Web servers, database servers, cloud computing servers and so on, are now under threads from network attackers. As one of most common and aggressive means, denial-of-service (DoS) attacks cause serious impact on these computing systems. In this paper, we present a DoS attack detection system that uses multivariate correlation analysis (MCA) for accurate network traffic characterization by extracting the geometrical correlations between network traffic features. Our MCA-based DoS attack detection system employs the principle of anomaly based detection in attack recognition. This makes our solution capable of detecting known and unknown DoS attacks effectively by learning the patterns of legitimate network traffic only. Furthermore, a triangle-area-based technique is proposed to enhance and to speed up the process of MCA. The effectiveness of our proposed detection system is evaluated using KDD Cup 99 data set, and the influences of both non-normalized data and normalized data on the performance of the proposed detection system are examined. The results show that our system outperforms two other previously developed state-of-the-art approaches in terms of detection accuracy. © 1990-2012 IEEE.
Zhou, T, Lu, Y, Lv, F, Di, H, Zhao, Q & Zhang, J 2014, 'Abrupt Motion Tracking via Nearest Neighbor Field Driven Stochastic Sampling', Neurocomputing, vol. 165, pp. 350-360.
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Stochastic sampling based trackers have shown good performance for abruptmotion tracking so that they have gained popularity in recent years. However,conventional methods tend to use a two-stage sampling paradigm, in which thesearch space needs to be uniformly explored with an inefficient preliminarysampling phase. In this paper, we propose a novel sampling-based method in theBayesian filtering framework to address the problem. Within the framework,nearest neighbor field estimation is utilized to compute the importanceproposal probabilities, which guide the Markov chain search towards promisingregions and thus enhance the sampling efficiency; given the motion priors, asmoothing stochastic sampling Monte Carlo algorithm is proposed to approximatethe posterior distribution through a smoothing weight-updating scheme.Moreover, to track the abrupt and the smooth motions simultaneously, we developan abrupt-motion detection scheme which can discover the presence of abruptmotions during online tracking. Extensive experiments on challenging imagesequences demonstrate the effectiveness and the robustness of our algorithm inhandling the abrupt motions.
Zhu, H, Abbosh, A & Guo, L 2014, 'Ultra‐wideband unequal in‐phase power divider using three‐line coupled structure', Electronics Letters, vol. 50, no. 15, pp. 1081-1082.
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Aljaafreh, A, Gill, AQ & Ani, AA 1970, 'Towards the development of an initial trust model for the adoption of internet banking services in Jordan', Proceedings - Pacific Asia Conference on Information Systems, PACIS 2014, Pacific Asia Conference on Information Systems, AIS, Chengdu, China, pp. 1-11.
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Internet banking service (IBS) is transforming the traditional ways of customer banking. Although IBS is very common in developed countries, however, its adoption by customers in developing countries is still very slow. This may well be due to the lack of customer's trust in IBS in developing countries. This paper studies the important issue of customer's initial trust in IBS in the Jordanian context and proposes the customer initial trust model. The objective of this model is to understand and analyse the underlying factors that affect the early stage of trust (i.e. initial customer trust) in IBS, which may, impact customer's initial intention to use IBS. The proposed model of customer's initial trust in IBS integrates constructs from Diffusion of Innovation (DoI) theory, Hofstede culture theory and trust literature. The distinguishable property of this model is the incorporation of national culture dimensions on initial trust. The proposed model will assist Jordanian banks in understanding the factors that may impact their customers' initial trust in IBS.
Alzoubi, YI & Gill, AQ 1970, 'Agile Global Software Development Communication Challenges: a Systematic Review.', PACIS, Pacific Asia Conference on Information Systems, AIS, Chengdu, China, pp. 20-20.
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Organizations have shown a significant interest in adopting human and communication-oriented agile practices for Global Software Development (GSD). Agile practices originated in the context of small and medium co-located project teams present a number of communication challenges when they are applied to the distributed GSD. There is a need to understand the underlying communication challenges of agile GSD environment. This paper adopts a Systematic Literature Review (SLR) approach and reports communication challenges in the agile GSD context. A customized literature search and selection criteria was first developed and then applied to initially identify a set of 449 papers. Finally, 22 of 449 papers, relevant to this research, were selected for this study. These final 22 papers were reviewed and 7 major categories of communication challenges were identified in the context of agile GSD. The review results of this paper are expected to help researchers and practitioners to understand communication challenges of agile GSD and develop tools, techniques and strategies to deal with these challenges. This paper is limited to the number of reviewed studies from selected databases.
Ara, P, Heimlich, M & Dutkiewicz, E 1970, 'Antenna performance for localization of capsule endoscope', 2014 8th International Symposium on Medical Information and Communication Technology (ISMICT), 2014 8th International Symposium on Medical Information and Communication Technology (ISMICT), IEEE, Firenze, Italy.
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Recent developments in capsule endoscopy have highlighted the need for accurate techniques to estimate the location of a capsule endoscope in the gastrointestinal (GI) tract. Besides the channel propagation environment that can highly influence the accuracy of the capsule location estimation, the deployed antenna properties and its radiation pattern can also have a significant impact on the performance of the location estimation technique. Therefore, it is essential to select the antenna type that can meet the location estimation requirements. In this paper, the studies are done for two different antenna types: half-dipole and loop at the frequency of 2.4 GHz to explore and compare the effect of different antenna types. The results show that the half-dipole antenna outperforms the loop antenna in respect to the signal attenuation inside the human abdomen region. © 2014 IEEE.
Ara, P, Heimlich, M & Dutkiewicz, E 1970, 'Investigation of radar approach for localization of gastro intestinal endoscopic capsule', 2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, Istanbul, Turkey, pp. 99-104.
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© 2014 IEEE. Location estimation of a capsule endoscope in the gastrointestinal (GI) tract is a challenging task, as radio frequency signals encounter a high loss and highly dynamic channel propagation environment. In this paper, the possibility of using a radar system for capsule localization is investigated at frequencies of 2.4 GHz, 3.4 GHz, 4.8 GHz and 5.8 GHz respectively. Based on our theoretical analysis, the system at 2.4 GHz exhibits better performance. Therefore, in the next step a detailed analysis of the RF propagation in the human abdomen is presented with the aid of numerical simulations using Finite-Difference TimeDomain (FDTD) method. Our simulation results show that a radar system at 2.4 GHz can be considered for tracking the capsule if a high sensitivity receiver is deployed. In addition, we provide an in-depth study investigating the effect of antenna position and polarization on the received signal strength. The studies show that vertical polarization of the antenna outperforms other linear polarization because it provides better signal strength in the center of the human abdomen.
Aslazandeh, S, Chaczko, Z & Chiu, C 1970, 'Cloud computing — The effect of generalized spring tensor algorithm on load balancing', 2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE), 2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE), IEEE, South Kuta, pp. 5-8.
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In business world, competitors use innovative approaches to improve their performance and profits. Cloud computing is one of these creative concepts that allowed companies to further taking advantage of their potential. Cloud computing is assisting companies to execute their business plans more efficiently. As cloud computing has multi-tenancy structure, availability and efficiency of the resources is essential foundation of the cloud architecture. Recent studies showed that, optimized cloud computing could be seen as an elastic network of resources that are interacting with each other, to minimize the waiting time and utilize the throughput. Therefore load balancing and resource management can be highlighted as the main concerns in cloud computing as they are impacting the network performance directly. This research aims to discuss the current challenges existing in load balancing algorithms. Different metrics and policies of the relevant load balancer algorithms have been investigated and as a result, collective behavior has been proposed as a new policy for classification of elasticity mechanism in load balancing.
Banjar, A, Pupatwibul, P, Braun, R & Moulton, B 1970, 'Analysing the performance of the OpenFlow standard for software-defined networking using the OMNeT plus plus network simulator', 2014 ASIA-PACIFIC CONFERENCE ON COMPUTER AIDED SYSTEM ENGINEERING (APCASE), Asia-Pacific Conference on Computer Aided System Engineering (APCASE), IEEE, South Kuta, Indonesia, pp. 31-37.
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© 2014 IEEE. Software-defined networking (SDN) is a relatively advanced method for implementing communication networks. SDN separates the decision maker, called the control plane, which decides where packets are sent, from the underlying infrastructure, called the data plane, which forwards packets to the decided destination. A newly emerging standard for SDN is the OpenFlow standard, which includes a standardized protocol for communications between the control plane and the data plane. This study analyses the extent to which the location of OpenFlow controllers affect the performance of an OpenFlow network. The analysis is undertaken using the OMNeT++ INET Framework discrete events network simulator. By analyzing key network metrics including round-trip-time (RTT) and data transfer rate (DTR), the results indicate the location of the controller has a demonstrable affect the performance of the network.
Bargi, A, Da Xu, RY & Piccardi, M 1970, 'An Infinite Adaptive Online Learning Model for Segmentation and Classification of Streaming Data', 2014 22nd International Conference on Pattern Recognition, 2014 22nd International Conference on Pattern Recognition (ICPR), IEEE, Stockholm, Sweden, pp. 3440-3445.
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© 2014 IEEE. In recent years, the desire and need to understand streaming data has been increasing. Along with the constant flow of data, it is critical to classify and segment the observations on-the-fly without being limited to a rigid number of classes. In other words, the system needs to be adaptive to the streaming data and capable of updating its parameters to comply with natural changes. This interesting problem, however, is poorly addressed in the literature, as many of the common studies focus on offline classification over a pre-defined class set. In this paper, we propose a novel adaptive online system based on Markov switching models with hierarchical Dirichlet process priors. This infinite adaptive online approach is capable of segmenting and classifying the streaming data over infinite classes, while meeting the memory and delay constraints of streaming contexts. The model is further enhanced by a 'predictive batching' mechanism, that is able to divide the flowing data into batches of variable size, imitating the ground-truth segments. Experiments on two video datasets show significant performance of the proposed approach in frame-level accuracy, segmentation recall and precision, while determining the accurate number of classes in acceptable computational time.
Bargi, A, Da Xu, RY, Ghahramani, Z & Piccardi, M 1970, 'A non-parametric conditional factor regression model for multi-dimensional input and response', Journal of Machine Learning Research, International Conference on Artificial Intelligence and Statistics, JMLR, Reykjavik, Iceland, pp. 77-85.
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In this paper, we propose a non-parametric conditional factor regression (NCFR) model for domains with multi-dimensional input and response. NCFR enhances linear regression in two ways: a) introducing low-dimensional latent factors leading to dimensionality reduction and b) integrating the Indian Buffet Process as prior for the latent layer to dynamically derive an optimal number of sparse factors. Thanks to IBP's enhancements to the latent factors, NCFR can significantly avoid over-fitting even in the case of a very small sample size compared to the dimensionality. Experimental results on three diverse datasets comparing NCRF to a few baseline alternatives give evidence of its robust learning, remarkable predictive performance, good mixing and computational efficiency.
Barua, B, Safaei, F & Abolhasan, M 1970, 'Error Exponent of Amplify and Forward Relay Networks in Presence of I.I.D. Interferers', 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall), 2014 IEEE 80th Vehicular Technology Conference (VTC Fall), IEEE, Vancouver, Canada.
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© 2014 IEEE. In this paper, we derive the random coding error exponent of amplify-and-forward (AF) relay networks in presence of arbitrary number of independent and identically distributed (i.i.d.) interferers both at the relay and the destination. Multiuser networks are common examples of interference limited networks. We derive the ergodic capacity of the network and present simulation results on the performance of the network where we compare the capacity and error exponent performance of interference limited networks with noise limited networks. Numerical results show that noise limited networks outperform interference limited networks even when only a very few interferers exist in the network.
Borzeshi, EZ, Dehghan, A, Piccardi, M & Shah, M 1970, 'Complex event recognition by latent temporal models of concepts', 2014 IEEE International Conference on Image Processing (ICIP), 2014 IEEE International Conference on Image Processing (ICIP), IEEE, Paris, pp. 2373-2377.
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© 2014 IEEE. Complex event recognition is an expanding research area aiming to recognize entities of high-level semantics in videos. Typical approaches exploit the so-called 'bags' of spatiotemporal features such as STIP, ISA and DTF-HOG; yet, more recently, the notion of concept has emerged as an alternative, intermediate representation with greater descriptive power, and 'bags of concepts' have been used for recognition. In this paper we argue that concepts in an event tend to articulate over a discernible temporal structure and we exploit a temporal model using the scores of concept detectors as measurements. In addition, we propose several heuristics to improve the initialization of the model's latent states and take advantage of the time-sparsity of the concepts. Experimental results on videos from the challenging TRECVID MED 2012 dataset show that the proposed approach achieves an improvement in average precision of 8.92% over comparable bags of concepts, thus validating the use of temporal structure over concepts for complex event recognition.
Braun, RM, Pupatwibul, P & Banjar, A 1970, 'Performance Evaluation of TCP/IP Vs.OpenFlow in INET Framework Using Omnet++, and Implementation of Intelligent Computational Model to Provide Autonomous Behavior', The Asian Conference on Technology, Information & Society 2014 (ACTIS 2014), The Asian Conference on Technology, Information & Society 2014 (ACTIS 2014), IAFOR International Academic Forumn, Osaka, Japan.
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Analysing performance of transmitting data from a source to a certain destination is an interesting task. One of the most reliable networking protocol suites is the Transport Control Protocol and the Internet Protocol (TCP/IP), which will be studied against a new management paradigm called Software Defined Networking (SDN). SDN is an emerging programmable network architecture, where network control plane is decoupled from forwarding plane. SDN forwarding methods are based on flows, which operate in contrast to conventional routing methods, such as TCP/IP routing table and MAC learning table. Moreover, OpenFlow protocol has efficient forwarding methods to push L2-L4 functions which are simplified into a Flow-Table(s) abstraction. This paper discusses the relationship between the processes of forwarding packets in conventional IP routing table vs. OpenFlow-table and evaluates the performance between both implementations using INET framework in OMNeT++. While OpenFlow performs slightly better than TCP with respect to mean round trip time (RTT). The results also proved the correctness of OpenFlow implemented simulation model. Finally, we propose the three phases of implementing a Distributed Active Information Model (DAIM) within OpenFlow to support an autonomic network management.
Busch, P, Smith, S, Gill, AQ, Harris, P, Fakieh, B & Blount, Y 1970, 'A study of government cloud adoption: The Australian context', Proceedings of the 25th Australasian Conference on Information Systems, ACIS 2014, Australasian Conference on Information Systems, ACIS, Auckland, New Zealand, pp. 1-10.
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The literature is scant around the take up rates of cloud computing by organisations. Cloud computing is nonetheless expected to be a major computing paradigm in the future. The benefits of the cloud vis-à-vis outsourcing many current in-house IT services and applications - both hardware and software based, are numerous. However, governments and many enterprises are still relatively unclear on the motives for adopting cloud technologies and the consequent benefits gained in a real-world operational environment. This paper examines the results from a survey conducted at a forum of senior government IT managers and their views towards cloud computing adoption. The paper provides insights both from technological and non-technological perspectives in the overall context of cloud adoption in Australian government enterprises. Dr. Peter Busch; Dr. Stephen Smith, Dr. Asif Gill, Dr. Pedro Harris, Bahjat Fakieh, Dr. Yvette Blount
Can Ding, Guo, YJ, Pei-Yuan Qin & Yintang Yang 1970, 'A compact phase-shifting unit for phased array antennas', 2014 44th European Microwave Conference, 2014 44th European Microwave Conference (EuMC), IEEE.
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Chaczko, Z & Alenazy, W 1970, 'The Extended Technology Acceptance Model and the Design of the 21st Century Classroom', 2014 ASIA-PACIFIC CONFERENCE ON COMPUTER AIDED SYSTEM ENGINEERING (APCASE), Asia-Pacific Conference on Computer Aided System Engineering (APCASE), IEEE CONFERENCE PUBLICATIONS, South Kuta, pp. 117-121.
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Recent technological models advancements have led to the need to adjust education methods in many educational institutions. Since the start of the use of technology in education, the approach gained a lot of attention from the education sectors, and has been applied across many areas in the academic field. The idea is to support the acceptance of the technology implementation by modifying TAM model with the pre-acknowledgement of technology users using an additional element. This additional element should serve to increase the motivation level of instructors and students alike. Moreover, it should grow the need for using modern technology in the education environment. The result of these changes should be to spur on those resistant to the adoption of technology to adopt and incorporate it into their systems.
Chaczko, Z, Alenazy, W, Carrion, L & Tran, A 1970, 'Augmented Reality based monitoring of the remote-lab', 2014 Information Technology Based Higher Education and Training (ITHET), 2014 Information Technology Based Higher Education and Training (ITHET), IEEE, York, United Kingdom.
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© 2014 IEEE. Augmented Reality technology approach has been being adopted within the education sector. The advanced technology tools in many classes have the potential changed of users' attitudes toward the pedagogical and psychological objectives and goals. Moreover, augmented reality has not elicited so much attention within the corridors of education sector as it is now. In order to improve the interactive effectiveness in the smart classroom environment, there is a demand to tailor the innovation technology and align it with every changing requirements and capabilities of various users. Consequently, the educators are increasingly finding augmented reality suitable for deployment in education. In this paper, a project shows how Augmented Reality utilised with overlay Smart-Grid can support the learning process in attractive methods for monitoring events of captured scenes in remote-lab such as video stream, Web-link from smart devices' camera.
Chaczko, Z, Braun, R, Carrion, L & Dagher, J 1970, 'Design of unit testing using xUnit.net', 2014 Information Technology Based Higher Education and Training (ITHET), 2014 Information Technology Based Higher Education and Training (ITHET), IEEE, York, United Kingdom, pp. 1-9.
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© 2014 IEEE. This paper presents an in-depth study of designing, implementing and executing unit test cases using the xUnit.net testing tool in general and in the context of the TeleMedicine Cluster System project within the ICT Design subject delivered at UTS, Australia. The case studies are based on the utilisation of the tool in Visual Basic 2012 using the.NET framework for C#. The paper elucidates on how and why the xUnit framework can be applied in the context of the TMC system, and how it can be tailored to meet the testing ad integration needs of the delivery of TMC system.
Chaczko, Z, Carrion, L, Alenazy, W & Mu, M 1970, 'Development of an expert system to assist in Resource Management', 2014 Information Technology Based Higher Education and Training (ITHET), 2014 Information Technology Based Higher Education and Training (ITHET), IEEE, York, United Kingdom.
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© 2014 IEEE. This paper aims to demonstrate an idea of utilizing Kohonen Maps as a tool to portray and study resource allocations when constructing an expert system to assist in Resource Management. The context of work encompasses resource allocation and management tasks related to design of courses, as well as, various teaching and learning projects. The key aspect is to show the design of an expert system for resource allocation with the use of Kohonen Maps as an alternative way to visualise the demand and availability of project resources.
Chye, YH, Dutkiewicz, E, Vesilo, R & Liu, RP 1970, 'Adaptive spectrum sensing for cognitive radio systems in a fading environment', 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), IEEE, Sydney, NSW, Australia, pp. 451-456.
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© 2014 National Institute of Information and Communicatio. Cognitive radio (CR) has been emerging as a new technology enabling unlicensed secondary users (SUs) to dynamically access licensed spectrum bands underutilized by primary users (PUs). Spectrum sensing plays an important role in CR systems to detect PU inactivity and the resulting spectrum holes that allow dynamic spectrum access by SUs. In most existing spectrum sensing schemes, dynamics of the channel in a fading environment have not been fully addressed, thus leading to inefficient spectrum utilization. This paper proposes a dynamic sensing scheme that can adaptively schedule sensing duration according to channel dynamics in a fading environment while mitigating the effect of sensing errors (i.e., false alarm and miss-detection). We introduce a sensing duration bound to facilitate the optimization of spectrum utilization. Both simulation and analytical results verify the improvement on spectrum utilization offered by the proposed scheme while achieving target sensing requirements, as compared to the existing sensing schemes.
Cooper, CS, Mukunthan, A, Ros, M, Franklin, DR & Abolhasan, M 1970, 'Dynamie environmental fading in urban VANETs.', ICC, IEEE International Conference on Communications, IEEE, Sydney, NSW, Australia, pp. 5641-5646.
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A method of approximating the Rician K-Factor with considerations of the local human-built environment is proposed for urban VANETs. The model is validated experimentally on a busy street in Australia, in the presence and absence of other vehicles. The model is found to accurately predict actual channel measurements in close-range communications scenarios.
Cooper, CS, Ros, M, Safaei, F, Franklin, DR & Abolhasan, M 1970, 'Simulation of Contrasting Clustering Paradigms under an Experimentally-Derived Channel Model.', VTC Fall, IEEE Vehicular Technology Conference, IEEE, Vancouver, BC, pp. 1-6.
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This is a simulation study of weight-based and precedence-based clustering paradigms in VANETs under an experimentally-derived channel model. The study reveals that CH election schemes accounting for driver intention form more stable and long-lived clusters. The results also show that ignoring elements of the VANET channel (such as vehicular shadowing) results in an unreliable comparative analysis of protocol performance.
Ding, C, Guo, YJ, Qin, P-Y, Ji, L, Yang, Y & IEEE 1970, 'A Compact Phase Shift Unit for Analogue Beamforming', 2014 INTERNATIONAL WORKSHOP ON ANTENNA TECHNOLOGY: 'SMALL ANTENNAS, NOVEL EM STRUCTURES AND MATERIALS, AND APPLICATIONS' (IWAT), International Workshop on Antenna Technology, IEEE, Sydney, NSW, Australia, pp. 93-95.
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© 2014 IEEE. A novel phase shift unit for analogue beamforming is proposed. It is based on a defected microstrip structure (DMS). The DMS unit has a phase shift of 15° with insertion losses below 0.5 dB at 5.2 GHz. It is etched on a 50 Ohm conventional microstrip line and the length of which is only 0.07 wavelengths long. Due to the low insertion loss and compact size, the DMS units can be easily cascaded to realize a higher phase shift. As an example, a 1-bit phase shifter made by cascading 3 DMS units is designed. It has a phase shift of 45°±1.8° with the insertion losses still below 0.5 dB across the 5.2 GHz band (5.15 GHz to 5.35 GHz). The phase shifter design based on DMS is compact, low cost, and easy to be fabricated and integrated in microstrip systems. Therefore, it provides a low cost solution for analogue beamforming which usually employs a large number of phase shifters.
Ding, C, Guo, YJ, Qin, P-Y, Yang, Y & IEEE 1970, 'A Compact Phase-Shifting Unit for Phased Array Antennas', 2014 11TH EUROPEAN RADAR CONFERENCE (EURAD), European Microwave Conference, IEEE, Rome, Italy, pp. 443-446.
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© 2014 European Microwave Association. A compact reconfigurable defected microstrip structure (RDMS) unit is proposed for phase shifters used in phased array antennas. The RDMS unit can introduce a phase shift when working in two different states. The performance of the RDMS unit, including the phase shift and insertion loss, is found to have closely correlations with some key dimensions, which is elucidated using equations and simulations. A RDMS unit with optimized dimensions is fabricated as an example, and measured to have a phase shift of 20° at 5.2 GHz. Then, two of such RDMS units are cascaded, resulting in a 1-bit phase shifter which has a doubled phase shift but smaller insertion loss. The proposed phase shifter is compact, low cost, and easy to be fabricated and integrated in microstrip systems. Therefore, it offers a low-cost and low-profile solution to phase shifts in phased array antennas.
Ding, C, Guo, YJ, Qin, P-Y, Yang, Y & IEEE 1970, 'A Reconfigurable Defected Microstrip Structure for Applications in Phase Shifter', 2014 8TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), European Conference on Antennas and Propagation, IEEE, IEEE, pp. 2342-2346.
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© 2014 European Association on Antennas and Propagation. A reconfigurable defected microstrip structure (RDMS) is proposed for phase shift applications. The RDMS unit is made by etching a rectangle slot in a segment of microstrip line and then loading the slot with PIN diodes and capacitors. A phase shift is achieved by switching the diodes between the 'on' and 'off' states. By cascading such RDMS units, a stepwise phase shifter is realized. The measured results show that the phase shifter is able to achieve phase shifts of 0°, 44°, 95°, and 143° with a maximum insertion loss of 2.3 dB at 5.2 GHz. The RDMS based phase shifter has a simple fabrication process and is easy to be integrated in microstrip systems, and thus provides a low cost solution to phase control in microstrip antenna arrays.
Ding, J, Dutkiewicz, E & Huang, X 1970, 'Optimal spectral efficiency for cooperative UWB based on-body area networks', 2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, New Orleans, LA, USA, pp. 1224-1229.
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© 2014 IEEE. In this paper, spectral efficiency (SE) is investigated for cooperative ultra-wideband (UWB) based on-body area networks (OBANs). To optimize SE for single-relay cooperation, an equivalent generic cooperative model in UWB based OBANs is established first. With the proposed model, joint optimal relay location and power allocation for cooperation is then derived to solve the SE maximization problem. Simulation results show that direct transmission is preferable for UWB based OBANs when the transmitter and receiver are located on the same side of the human body. However, the joint optimal cooperative transmission scheme can achieve a significant improvement on SE compared with direct transmission when the transmitter and receiver are located on the different sides of the human body, which indicates that cooperation is more feasible to be applied in this case due to its robustness to the significant path loss.
ding, J, Dutkiewicz, E, Huang, X & Fang, G 1970, 'Spectral Efficiency Optimization with Distributed Beamforming in UWB Based Implant Body Area Networks', Proceedings of the 9th International Conference on Body Area Networks, 9th International Conference on Body Area Networks, ICST, pp. 32-38.
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Copyright © 2014 ICST. In this paper, a distributed beamforming problem is investigated based on spectral efficiency (SE) optimization for ultra-wideband (UWB) based implant body area networks (IBANs). We consider a relay network consisting of one implant source, several wearable relays, and one body network coordinator under the assumption that the individual relay power is constrained due to the Federal Communications Commission (FCC) regulations for UWB signals. Taking into account realistic wireless channels and relay locations, the SE optimization problem is mathematically formulated and solved by using convex optimization. Simulation results show that the proposed beamforming scheme is superior to other transmission schemes. Moreover, our numerical examples reveal that the relay location has a significant impact on the beamforming performance and the proposed beamforming scheme provides an efficient way to prolong the lifetime of the implant node.
Donovan, A, Alem, L, Huang, W, Liu, R & Hedley, M 1970, 'Understanding How Network Performance Affects User Experience of Remote Guidance', Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), CYTED-RITOS International Workshop on Groupware, Springer International Publishing, pp. 1-12.
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Much research has been done to support remote collaboration on physical tasks. However, the focus of the research has been mainly on system and interface design and their impact on collaboration. Relatively less attention has been paid to investigating how network performance can affect user experience and task performance. In this paper, we present a preliminary user study on this issue in which participants were asked to work collaboratively in pair using a remote mobile tele-assistance system we developed. In this study, five network scenarios were examined and network performance (QoS) was measured using four metrics including delay, jitter, bandwidth and packet loss. User experience (QoE) was measured using both objective and subjective metrics. The formal included time taken and number of instructions repeated for task performance while the latter included user ratings of quality of audio experience, quality of video experience and overall quality of experience. The results indicated that the packet loss rate in QoS is the biggest contributor to loss in QoE. We also discuss implications of the study and possible directions of future work. © 2014 Springer International Publishing.
Gill, AQ, Alam, SL & Eustace, J 1970, 'Using social architecture to analyzing online social network use in emergency management', 20th Americas Conference on Information Systems, AMCIS 2014, Americas Conference on Information Systems, AIS, Savannah, Georgia, USA, pp. 1-12.
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Emergency Management Agencies (EMA) are increasingly adopting online social network (OSN) such as Twitter and Facebook for interacting with partner institutions and citizens for sourcing and distributing of vital crisis information. However, EMA need to study and analyze how well they are using and, how they should be using the OSN. This paper adopts a holistic social architecture driven approach and demonstrates how to systematically study and analyze OSN adoption in the Australian EMA case study. The results of this study indicate that OSNs do not replace traditional systems and should be considered a part of the whole crisis information management environment. Further, it indicates that a holistic social architecture driven approach seems useful for studying and analyzing the OSN-enabled EMA crisis information management environment, which is critical for the identification of opportunities for improvement.
Gill, AQ, Smith, S, Beydoun, G & Sugumaran, V 1970, 'Agile enterprise architecture: A case of a cloud technology-enabled government enterprise transformation', Proceedings - Pacific Asia Conference on Information Systems, PACIS 2014, Pacific Asia Conference on Information Systems, AIS, Chengdu, China, pp. 1-11.
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Australian government enterprises have shown a significant interest in the cloud technology-enabled enterprise transformation. Australian government suggests the whole-of-a-government strategy to cloud adoption. The challenge is how best to realise this cloud adoption strategy for the cloud technologyenabled enterprise transformation? The cloud adoption strategy realisation requires concrete guidelines and a comprehensive practical framework. This paper proposes the use of an agile enterprise architecture framework to developing and implementing the adaptive cloud technology-enabled enterprise architecture in the Australian government context. The results of this paper indicate that a holistic strategic agile enterprise architecture approach seems appropriate to support the strategic whole-of-a-government approach to cloud technology-enabled government enterprise transformation.
Gomez-Tornero, JL, Alvarez-Melcon, A, Mesa, F, Medina, F, Goussetis, G & Guo, YJ 1970, 'Analysis and design of controllable leaky-wave antennas inspired by Prof. Arthur Oliner a tribute to Prof. Oliner', 2014 44th European Microwave Conference, 2014 44th European Microwave Conference (EuMC), IEEE, Rome, ITALY, pp. 440-443.
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In this paper, we make a summary on the different leaky-wave antenna (LWA) technologies developed by Spanish groups in collaboration with UK and Australia, and which have been inspired by seminal works of Prof. Oliner. First, we will describe the LWAs based on asymmetric waveguides proposed by Prof. Oliner and collaborators in the 80s-90s. Also, the labor of Prof. Oliner to reveal the nature of leaky modes in microstrip lines will be reminded. Based on these pioneering works, the contribution of the authors to the analysis and design of LWAs in three distinct technologies will be described. Namely: hybrid waveguide-printed circuit technology, Fabry-Pérot (FP) technology, and Substrate Integrated Waveguide (SIW) technology. The control of the complex leaky-mode wavenumber is necessary for the synthesis of high-gain frequency scanning patterns. This paper gives an overview of the working mechanism and taper principles used for each technology, in a tribute to Prof. Oliner and collaborators who inspired all these ideas.
Guo, D, Zhang, J, Liu, X, Cui, Y & Zhao, C 1970, 'Multiple Kernel Learning Based Multi-view Spectral Clustering', 2014 22nd International Conference on Pattern Recognition, 2014 22nd International Conference on Pattern Recognition (ICPR), IEEE, Stockholm, Sweden, pp. 3774-3779.
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© 2014 IEEE. For a given data set, exploring their multi-view instances under a clustering framework is a practical way to boost the clustering performance. This is because that each view might reflect partial information for the existing data. Furthermore, due to the noise and other impact factors, exploring these instances from different views will enhance the mining of the real structure and feature information within the data set. In this paper, we propose a multiple kernel spectral clustering algorithm through the multi-view instances on the given data set. By combining the kernel matrix learning and the spectral clustering optimization into one process framework, the algorithm can determine the kernel weights and cluster the multi-view data simultaneously. We compare the proposed algorithm with some recent published methods on real-world datasets to show the efficiency of the proposed algorithm.
Guo, D, Zhang, J, Xu, M, He, X, Li, M & Zhao, C 1970, 'A Multiple Features Distance Preserving (MFDP) Model for Saliency Detection', 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, Wollongong.
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© 2014 IEEE. Playing a vital role, saliency has been widely applied for various image analysis tasks, such as content-aware image retargeting, image retrieval and object detection. It is generally accepted that saliency detection can benefit from the integration of multiple visual features. However, most of the existing literatures fuse multiple features at saliency map level without considering cross-feature information, i.e. generate a saliency map based on several maps computed from an individual feature. In this paper, we propose a Multiple Feature Distance Preserving (MFDP) model to seamlessly integrate multiple visual features through an alternative optimization process. Our method outperforms the state-of-the-arts methods on saliency detection. Saliency detected by our method is further cooperated with seam carving algorithm and significantly improves the performance on image retargeting.
Guo, YJ, Qin, P-Y, Ding, C & IEEE 1970, 'Low-Cost Beamforming Employing Reconfigurable Antennas', 2014 INTERNATIONAL WORKSHOP ON ANTENNA TECHNOLOGY: 'SMALL ANTENNAS, NOVEL EM STRUCTURES AND MATERIALS, AND APPLICATIONS' (IWAT), International Workshop on Antenna Technology, IEEE, Sydney, NSW, Australia, pp. 155-158.
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© 2014 IEEE. This paper presents CSIRO's recent research activities and achievements in low-cost beamforming employing reconfigurable antennas. Two novel concepts and configurations, a beam switching quasi-Yagi antenna and a phased array antenna based on a reconfigurable defected microstrip structure for phase shifting, are described. Future research directions are also discussed.
Hanawal, MK, Abdel-Rahman, MJ & Krunz, M 1970, 'Game theoretic anti-jamming dynamic frequency hopping and rate adaptation in wireless systems', 2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), IEEE, Hammamet, TUNISIA, pp. 247-254.
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Hayman, DB, Chippendale, AP, Hotan, AW, Shaw, RD, Hay, SG, Bird, TS, Hall, PJ & Esselle, KP 1970, 'Measuring radiotelescope phased array feed noise and sensitivity', The 8th European Conference on Antennas and Propagation (EuCAP 2014), 2014 8th European Conference on Antennas and Propagation (EuCAP), IEEE, Hague, NETHERLANDS, pp. 3526-3530.
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He, Y, Dutkiewicz, E, Fang, G & Mueck, M 1970, 'Licensed Shared Access in Distributed Antenna Systems Enabling Network Virtualization', Proceedings of the 1st International Conference on 5G for Ubiquitous Connectivity, 1st International Conference on 5G for Ubiquitous Connectivity, ICST, Akaslompolo, Finland, pp. 76-80.
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© 2014 ICST. A distributed antenna system (DAS) architecture is considered to be a key enabler for further Network Virtualization where different network configurations are created as needed by a centralized decision making unit that is typically integrated into the Cloud Radio Access Network (C-RAN) which offers a potential architecture for 5G wireless communication systems. Many schemes have been proposed for Fractional Frequency Reuse (FFR) for resource allocation in the static cellular network architecture. In this paper, we investigate using the emerging Licensed Shared Access (LSA) on the downlink cell edge in a Network Virtualization context. We derive a threshold of the LSA bandwidth ratio for the average capacity and analyze the average capacity gain. This provides a guide in the decision making for using LSA bandwidth in DAS with Network Virtualization.
He, Y, Dutkiewicz, E, Fang, G & Shi, J 1970, 'Differential capacity bounds for distributed antenna systems under low SNR conditions', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Australia, pp. 5550-5554.
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A distributed antenna system (DAS) architecture is believed to be able to enhance capacity performance of Cloud Radio Access Networks (C-RAN), especially for users near the cell boundary who experience low Signal-Noise-Ratio (SNR). However, the problem of finding the analytical bounds on the capacity of DAS with the rising number of antennas in low SNR rigime has not been fully studied. In this paper, we investigate a case in C-RAN of multiple transmitting base stations and a single receiving user under low SNR conditions. We derive closed-form upper and lower bounds in efficiently computable expressions for differential capacity (DCAP) using the moment generating function (MGF) of SNR. Bounds accuracy is evaluated and compared to results in current literature. Numerical results corroborate our analysis and the analytic bounds on DCAP is tight in the low SNR regime. Furthermore, The upper bound approximates better compared with the one obtained in [1] under two different channel models. These lower and upper bounds provide more accurate capacity measures which can be used in the evaluation of DAS performance and C-RAN design. © 2014 IEEE.
He, Y, Dutkiewicz, E, Fang, G & Shi, J 1970, 'Downlink capacity in Cloud Radio Access Networks with Fractional Frequency Reuse', 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), IEEE, Sydney, Australia, pp. 424-428.
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© 2014 National Institute of Information and Communicatio. A distributed antenna system (DAS) architecture is believed to be able to enhance capacity performance of Cloud Radio Access Networks (C-RAN), especially for users near the cell boundary. Many schemes have been proposed to plan Fractional Frequency Reuse (FFR) on resource allocation. Some of them have leveraged the Coordinated multi-point transmission (CoMP) to improve the cell-edge performance. In this paper, we investigate and compare the capacity of Single User with Multiple-Input-Single-Output (SU-MISO) and Multiple Users with Multiple-Input-Multiple-Output (MU-MIMO) in C-RAN of multiple transmitting remote antenna units with FFR.
Hoang, DT, Niyato, D & Le, LB 1970, 'Simulation-based optimization for admission control of mobile cloudlets', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, AUSTRALIA, pp. 3764-3769.
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This paper considers an admission control problem for a mobile cloud computing hotspot with a cloudlet. We first formulate the admission control problem as a Markov decision process (MDP). The objective is to maximize the average reward in terms of revenue for cloudlet service providers. However, the MDP could suffer from the complexity problem (i.e., curse of dimensionality). Therefore, we apply the simulation-based algorithm to obtain the optimal policy for the MDP. The algorithm can estimate the performance measure to update the policy gradient in an online fashion. The performance evaluation of the proposed algorithm uses parameters setting profiled from real mobile applications. The extensive simulation results clearly show the convergence and the efficiency of the proposed algorithm. © 2014 IEEE.
Hoang, DT, Niyato, D, Wang, P & Kim, DI 1970, 'Optimal decentralized control policy for wireless communication systems with wireless energy transfer capability', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, AUSTRALIA, pp. 2835-2840.
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In this paper, we consider a decentralized wireless communication system with wireless energy transfer capability. We aim to minimize the total number of packets waiting at wireless nodes for the whole system. We first formulated the optimization problem as a decentralized partially observable Markov decision process (DEC-POMDP). To solve an optimization problem with constraints, we applied the Lagrangian multiplier and the policy gradient method. In addition, to reduce the complexity of DEC-POMDP, we proposed a decentralized online learning algorithm with minimum communication among the wireless nodes. Under appropriate conditions, we showed that the proposed algorithm converges to a local optimal solution. The simulation results clearly showed the convergence as well as the efficiency of the proposed algorithm. © 2014 IEEE.
Huang, S, Zhang, J, Liu, X & Wang, L 1970, 'A Method of Discriminative Information Preservation and In-Dimension Distance Minimization Method for Feature Selection', 2014 22nd International Conference on Pattern Recognition, 2014 22nd International Conference on Pattern Recognition (ICPR), IEEE, Swedish Soc Automated Image Anal, Stockholm, SWEDEN, pp. 1615-1620.
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© 2014 IEEE. Preserving sample's pair wise similarity is essential for feature selection. In supervised learning, labels can be used as a direct measure to check whether two samples are similar with each other. In unsupervised learning, however, such similarity information is usually unavailable. In this paper, we propose a new feature selection method through spectral clustering based on discriminative information as an underlying data structure. Laplacian matrix is used to obtain more partitioning information than other previously proposed structures such as the Eigen space of original data. The high dimension of sample data is projected into a low dimensional space. The in-dimension distance is also considered to get a better compact clustering result. The proposed method can be solved efficiently by updating the projection matrix and its inverse normalized diagonal matrix. A comprehensive experimental study has demonstrated that the proposed method outperforms many state-of-the-art feature selection algorithms with different criterion including the accuracy of clustering/classification and Jaccard score.
Huang, X 1970, 'High speed E-band backhaul: applications and challenges', IEEE 2014 International Conference on Communications, IEEE 2014 International Conference on Communications, Sydney, Australia.
Huang, X, Guo, YJ & Zhang, JA 1970, 'Multi-Gigabit Microwave and Millimeter-Wave Communications Research at CSIRO', 2014 14th International Symposium on Communications and Information Technologies (ISCIT), 2014 14th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Incheon, pp. 542-546.
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© 2014 IEEE. High speed and long range wireless backhauls are cost-effective alternatives to fibre networks and becoming more and more attractive as the demand for broadband wireless services grows rapidly in recent years. However, current commercially available wireless backhaul systems neither provide sufficiently high speed nor meet the requirements to achieve both high speed and long range at the same time with sufficiently low latency for targeted applications. Traditional microwave systems can achieve long transmission range, but the data rates are limited to a few hundred Mega bits per second only. Multi-Gigabit wireless communications can be achieved using millimetre-wave (mm-wave) frequency bands, especially the E-bands, but the practical transmission range is still a major weakness. In this paper, the state-of-the-art microwave and mm-wave technologies developed at the Commonwealth Scientific and Industrial Research Organization (CSIRO) are introduced to demonstrate CSIRO's technology leadership in multi-Gigabit wireless communications research and development. The technology trends in multi-Gigabit wireless communications are also discussed and various recently developed microwave and mm-wave systems are compared. It is hoped that this paper will stimulate further research interest and industry development.
Huang, X, Zhang, JA & Guo, YJ 1970, 'Comprehensive imperfection mitigation for precoded OFDM systems', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, NSW, Australia, pp. 5932-5937.
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This paper proposes a comprehensive solution to reduce peak-to-average power ratio (PAPR), cancel out-of-band emission (OOBE), and alleviate the impact of phase noise for precoded orthogonal frequency-division multiplexing (OFDM) systems. Making use of the cancellation and pilot symbols and subcarriers in both data and frequency domains, this solution integrates a number of novel schemes to overcome OFDM's inherent drawbacks and mitigate practical impairments for high speed wireless communications. These schemes include a layered precoding structure, a low complexity OOBE cancellation using both data domain cancellation symbols and frequency domain cancellation subcarriers, and an effective phase noise compensation using data domain pilot symbols. The improved overall system performance of the proposed solution is verified by simulation results. © 2014 IEEE.
Huang, X, Zhang, JA & Guo, YJ 1970, 'Unified out-of-band emission reduction with linear complexity for OFDM', 2014 IEEE/CIC International Conference on Communications in China (ICCC), 2014 IEEE/CIC International Conference on Communications in China (ICCC), IEEE, IEEE, pp. 523-527.
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© 2014 IEEE. This paper proposes a unified out-of-band emission (OOBE) reduction framework with linear complexity for orthogonal frequency-division multiplexing (OFDM) systems. Unlike conventional spectral precoding approaches which use orthogonal precoding matrixes, this framework composes cancellation signals from the linear combinations of data symbols and minimizes the average OOBE power with a general least-squares solution. A joint frequency domain cancellation subcarrier and data domain cancellation symbol allocation scheme is also proposed for discrete Fourier transform precoded OFDM, by which the overall signal processing complexity of the OFDM transceiver is further reduced without impact on other system performance. The advantages of the proposed scheme is verified both analytically and by simulation as compared with some well-known low-complexity OOBE reduction schemes.
Huang, Y, Fu, K, Yao, L, Wu, Q & Yang, J 1970, 'Saliency Detection Based on Spread Pattern and Manifold Ranking', Proceedings for CCPR Conference on Pattern Recognition, Chinese Conference on Pattern Recognition, Springer Berlin Heidelberg, Changsha; China, pp. 283-292.
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Jan, MA, Nanda, P, He, X, Tan, Z & Liu, RP 1970, 'A Robust Authentication Scheme for Observing Resources in the Internet of Things Environment', 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications, 2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE, Beijing, pp. 205-211.
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© 2014 IEEE. The Internet of Things is a vision that broadens the scope of the internet by incorporating physical objects to identify themselves to the participating entities. This innovative concept enables a physical device to represent itself in the digital world. There are a lot of speculations and future forecasts about the Internet of Things devices. However, most of them are vendor specific and lack a unified standard, which renders their seamless integration and interoperable operations. Another major concern is the lack of security features in these devices and their corresponding products. Most of them are resource-starved and unable to support computationally complex and resource consuming secure algorithms. In this paper, we have proposed a lightweight mutual authentication scheme which validates the identities of the participating devices before engaging them in communication for the resource observation. Our scheme incurs less connection overhead and provides a robust defence solution to combat various types of attacks.
Jayawickrama, BA, Dutkiewicz, E, Oppermann, IJ & Mueck, M 1970, 'Iteratively reweighted compressive sensing based algorithm for spectrum cartography in cognitive radio networks.', WCNC, IEEE Wireless Communications and Networking Conference, IEEE, Istanbul, Turkey, pp. 719-724.
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© 2014 IEEE. Spectrum cartography is the process of constructing a map showing Radio Frequency signal strength over a finite geographical area. In our previous work we formulated spectrum cartography as a compressive sensing problem and we illustrated how cartography can be used in the context of discovering spectrum holes in space that can be exploited locally in cognitive radio networks. This paper investigates the performance of compressive sensing based approach to cartography in a fading environment where realtime channel estimation is not feasible. To accommodate for lack of channel information we take an iterative approach. We extend the well-known iteratively reweighted ℓ1 minimisation approach by exploiting spatial correlation between two points in space. We evaluate the performance in an urban environment where Rayleigh fading is prominent. Our numerical results show a significant improvement in the probability of accurately making a spectrum sensing decision, in comparison to the well-known weighted approach and the traditional compressive sensing based method.
Jozi, BJ, Dackermann, U, Braun, RB, Li, JL & Samali, BS 1970, 'Application and improvement of conventional stress-wave-based non-destructive testing methods for the condition assessment of in-service timber utility poles', Proceedings of the 23rd Australasian Conference on the Mechanics of Structures and Materials, Australasian Conference on the Mechanics of Structures and Materials, Southern Cross University, Byron Bay, Australia, pp. 1197-1202.
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Timber utility poles represent a significant part of Australia’s infrastructure for power distribution andcommunication networks. Due to their advanced age, significant efforts are undertaken to preventutility lines from failure. However, the lack of reliable tools for assessing the condition of in-servicepoles seriously jeopardizes the maintenance and asset management. Non-destructive testing (NDT)methods based on stress wave propagation can potentially offer simple and cost-effective tools for thecondition assessment of in-service timber poles. Based on the impact direction and location, mainlytwo wave types can be excited in a pole, i.e. longitudinal and bending waves. A conventional stresswave-based method that analyses longitudinal waves is the Sonic Echo (SE) method; and a typicalsignal processing method for the analysis of bending waves (BW) is the Short Kernel Method (SKM).In this paper, firstly, the application of the conventional SE method and the BW method with SKMdata analysis is investigated for the condition assessment of timber poles from a signal processingperspective. Secondly, to improve limitations of the current methods, the application of a multisensorsarray is proposed for more reliable and accurate results. The new method is validated onnumerical data of a timber pole modelled with both isotropic and orthotropic material properties.
Lin, S, Tian, H, Ni, W & Liu, R 1970, 'Broker based bipartite matching game for resource management in femtocell networks', 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), IEEE, Sydney, NSW, Australia, pp. 579-583.
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© 2014 National Institute of Information and Communicatio. Femtocells have great potential to enhance home cellular access and improve macrocell network efficiency by offload local traffic. However, dense deployment imposes critical challenges to resource management (i.e., interference mitigation and sub-channels allocation).In this paper, to formulate this resource management of femtocell, we propose broker based many-to-many bipartite matching game and develop a new distributed solution to the game. The key idea of our solution is that we propose clustering strategy to decompose the many-to-many matching game into several parallel cluster-based many-to-one matching sub-games. Then, for each sub-problem, we develop a cluster based fairness guaranteed matching algorithm (CFGM), which is able to guarantee intra-cluster fairness. Simulation results show that CFGM outperforms its counterparts, which guaranteeing statistical fairness.
Liu, W, Xue, H, Gu, Y, Yang, J, Wu, Q & Jia, Z 1970, 'Shape Preserving RGB-D Depth Map Restoration', Proceedings, Part III 21st International Conference, ICONIP 2014., International Conference on Neural Information Processing, Springer International Publishing, Kuching, Malaysia, pp. 150-158.
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The RGB-D cameras have enjoined a great popularity these years. However, the quality of the depth maps obtained by such cameras is far from perfect. In this paper, we propose a framework for shape preserving depth map restoration for RGB-D cameras. The quality of the depth map is improved from three aspects: 1) the proposed region adaptive bilateral filter (RA-BF) smooths the depth noise across the depth map adaptively, 2) by associating the color information with the depth information, incorrect depth values are adjusted properly, 3) a selective joint bilateral filter (SJBF) is proposed to successfully fill in the holes caused by low quality depth sensing. Encouraging performance is obtained through our experiments.
Liu, X, Wang, L, Zhang, J & Yin, J 1970, 'Sample-adaptive multiple kernel learning', Proceedings of the National Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, AAAI Publication, Québec, Canada, pp. 1975-1981.
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Existing multiple kernel learning (MKL) algorithms indiscriminately apply a same set of kernel combination weights to all samples. However, the utility of base kernels could vary across samples and a base kernel useful for one sample could become noisy for another. In this case, rigidly applying a same set of kernel combination weights could adversely affect the learning performance. To improve this situation, we propose a sample-adaptive MKL algorithm, in which base kernels are allowed to be adaptively switched on/off with respect to each sample. We achieve this goal by assigning a latent binary variable to each base kernel when it is applied to a sample. The kernel combination weights and the iatent variables are jointly optimized via margin maximization principle. As demonstrated on five benchmark data sets, the proposed algorithm consistently outperforms the comparable ones in the literature.
Matekovits, L, Ranga, Y, Bird, TS, Esselle, KP & Orefice, M 1970, 'Anisotropic cloaking of a metallic cylinder', 2014 International Workshop on Antenna Technology: Small Antennas, Novel EM Structures and Materials, and Applications (iWAT), 2014 International Workshop on Antenna Technology: 'Small Antennas, Novel EM Structures and Materials, and Applications' (iWAT), IEEE, Sydney, AUSTRALIA, pp. 216-219.
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Mohammadi, MS, Dutkiewicz, E & Zhang, Q 1970, 'Sampling of Band-Limited Signals with Nonuniform Sampling-Time and Bit-Depth', 2015 IEEE Global Communications Conference (GLOBECOM), GLOBECOM 2015 - 2015 IEEE Global Communications Conference, IEEE, San Diego, USA.
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© 2015 IEEE. To reproduce a band-limited continuous-time signal with optimal fidelity, usually it is sampled at the Nyquist sampling rate and then the sample values are quantized. In nonuniform sampling, the total number of samples are reduced in expense of adding some reconstruction complexity and assuming prior information about the signal. In this paper we propose nonuniform sampling-time with nonuniform bit resolution per sample (bit-depth) to reduce the total required bit budget (i.e. the number of samples timed the bit-depth) even further. This idea is based on the fact that the maximum local variation of band-limited signals is bounded in a given time horizon. Therefore, it is not necessary to allocate a fixed bit-depth proportional to the signal's dynamic range to each sample. Instead, we try to allocate adaptively only the needed number of bits to represent the next sample considering the physical characteristics of the signal. Both sampling and reconstruction entities can generate the next sampling-times and bit-depths locally by observing the current and previous samples only. We propose different techniques in our generalized sampling framework that share a common sampling architecture. Here we only consider ECG signals for evaluation purpose. Based on the simulation results, the total number of required bits to reconstruct the signal with negligible distortion can be reduced up to 88% without imposing any form of transform coding compression.
Mohammadi, MS, Zhang, Q & Dutkiewicz, E 1970, 'Channel-adaptive MAC frame length in wireless body area networks', 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), IEEE, Sydney, Australia, pp. 584-588.
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© 2014 National Institute of Information and Communicatio. The nature of wireless channel in a wireless body area network is highly dynamic and hence, any static design is trivially sub-optimal. In this paper we propose a cross-layer channel-adaptive framework to adjust the MAC frame body length of the data packets. We propose two different approaches to incorporate the impact of the time-varying channel gain in the transmission policy aiming to improve the overall energy efficiency of the system. The first approach is based on autoregressive channel prediction and the second scheme is a novel procedure inspired by the well-known slow-start mechanism. Explicitly, in our first scheme the channel gain is predicted and the optimal frame length is selected. In the second method, MAC frame length is sequentially increased after receiving the acknowledgment message or decreased if no acknowledgment is received. Our simulation results show that the proposed schemes can significantly improve energy efficiency in comparison with the case with fixed frame length.
Mohammadi, MS, Zhang, Q, Dutkiewicz, E, Huang, X & Vesilo, R 1970, 'Energy-delay tradeoffs in impulse-based ultra-wideband body area networks with noncoherent receivers', 2014 IEEE Global Communications Conference, GLOBECOM 2014 - 2014 IEEE Global Communications Conference, IEEE, Austin, USA, pp. 4014-4019.
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© 2014 IEEE. In this paper we address the problem of rate scheduling in the Impulse Radio (IR) ultra-wideband (UWB) wireless body area networks (WBANs) and the minimum energy required to stabilize the queuing system. Targeting low complexity WBAN applications, we assume noncoherent receivers based on energy detection and autocorrelation for all nodes. The coordinating node can minimize the average energy consumption of the system and achieve the queue backlog stability of the sensor nodes by controlling the number of pulses per symbol. We first illustrate the necessary and sufficient conditions of network stability for a multi-mode UWB system and then propose a feasible rate scheduling algorithm based on the Lyapunov optimization theory. The scheduling algorithm uses the instantaneous channel state information and the length of the local queue of all sensor nodes and can approach the optimal energy-delay tradeoff of the network. We apply our theoretical framework to the IR-UWB physical layer of the IEEE 802.15.6 standard and extract the optimal physical layer modes that can achieve the desired energy-delay tradeoff.
Movassaghi, S, Abolhasan, M & Smith, D 1970, 'Cooperative scheduling with graph coloring for interference mitigation in wireless body area networks', 2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, Turkey.
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Movassaghi, S, Abolhasan, M & Smith, D 1970, 'Smart Spectrum Allocation for Interference Mitigation in Wireless Body Area Networks', 2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE International Conference on Communications, IEEE, Australia, pp. 5688-5693.
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Movassaghi, S, Abolhasan, M, Smith, D & Jamalipour, A 1970, 'Joint Energy Harvesting and Internetwork Interference Mitigation amongst Coexisting Wireless Body Area Networks', Proceedings of the 9th International Conference on Body Area Networks, 9th International Conference on Body Area Networks, ICST, London, Great Britain.
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This paper investigates simultaneous transfer of information and energy for interference mitigation amongst multiple coexisting Wireless Body Area Networks (WBANs). We propose to utilize interference that falls into the network as a source of energy, which is mainly discarded in conventional interference mitigation schemes. More specifically, in each time slot, a single sensor node is scheduled to receive information whilst the remaining sensor nodes opportunistically harvest the ambient radio frequency energy. We develop a novel opportunistic scheduling scheme, which offers a significantly high network lifetime through a tradeoff between a sensor's spectral efficiency and average amount of energy harvested. Simulation results show that the proposed energy harvesting with smart channel allocation (E-SCA) scheme can achieve optimal spatial reuse and good energy harvesting. We also show that the proposed approach is robust to variations in channel conditions, density of sensor nodes in each WBAN and increase in number of coexisting WBANs.
Movassaghi, S, Abolhasan, M, Smith, D, Jamalipour, A & IEEE 1970, 'AIM: Adaptive Internetwork Interference Mitigation Amongst Co-existing Wireless Body Area Networks', 2014 IEEE Global Communications Conference (GLOBECOM 2014), IEEE Global Telecommunications Conference, IEEE, Austin, Texas, USA, pp. 2460-2465.
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Nguyen, DN, Krunz, M & Hanly, S 1970, 'On the throughput of full-duplex MIMO in the multi-link case', 2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), IEEE, Tunisia, pp. 421-428.
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We are concerned with the throughput of a full-duplex (FD) MIMO network. Unlike conventional half-duplex (HD) MIMO, two wireless devices of a bidirectional FD-MIMO link have freedom of selecting which antennas/RF-chains to transmit or receive before tuning their radiation patterns to maximize the link's throughput. The freedom in configuring the function of available RF-chains, resulting in various FD-MIMO transmission modes, is referred to as FD-MIMO freedom that is shown to significantly improve the spectral efficiency of a given link. For a given RF-chain/antenna selection of a set of FD-MIMO links, we end up with a non-convex throughput maximization problem of a heterogeneous MIMO network. We design both centralized (using the augmented Lagrange function) and distributed algorithm (using a hierarchical game and pricing) to solve the problem for its locally optimal solutions. Comparing the achieved throughput of the FD-MIMO network, averaged over all obtained locally optimal solutions, with that when FD-MIMO nodes choose to operate in an HD mode, we find the HD mode surprisingly outperforms the FD mode. This trend is also observed when exploring all possible communication modes of a small size FD-MIMO network. © 2014 IFIP.
Peng, F, Wu, Q, Fan, L, Zhang, J, You, Y, Lu, J & Yang, J-Y 1970, 'Street view cross-sourced point cloud matching and registration', 2014 IEEE International Conference on Image Processing (ICIP), 2014 IEEE International Conference on Image Processing (ICIP), IEEE, Paris, France, pp. 2026-2030.
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© 2014 IEEE. Object registration has been widely discussed with the development of various range sensing technologies. In most work, however, the point clouds of reference and target are generated by the same technology, such as a Kinect range camera, LiDAR sensor, or Structure from Motion technique. Cases in which reference and target point clouds are generated by different technologies are rarely discussed. Due to the significant differences across various point cloud data in terms of point cloud density, sensing noise, scale, occlusion etc., object registration between such different point clouds becomes extremely difficult. In this study, we address for the first time an even more challenging case in which the differently-sourced point clouds are acquired from a real street view. One is generated on the basis of an image sequence through the SfM process, and the other is produced directly by the Li-DAR system. We propose a two-stage matching and registration algorithm to achieve object registration between these two different point clouds. The experiments are based on real building object point cloud data and demonstrate the effectiveness and efficiency of the proposed solution. The newly proposed solution can be further developed to contribute to several related applications, such as Location Based Service.
Qin, P-Y, Guo, YJ, Ding, C & IEEE 1970, 'A Polarization Reconfigurable Antenna for Dual-Band Operation', 2014 INTERNATIONAL WORKSHOP ON ANTENNA TECHNOLOGY: 'SMALL ANTENNAS, NOVEL EM STRUCTURES AND MATERIALS, AND APPLICATIONS' (IWAT), International Workshop on Antenna Technology - Small Antennas, Novel EM Structures and Materials, and Applications (iWAT), IEEE, IEEE, pp. 65-67.
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© 2014 IEEE. A polarization reconfigurable microstrip patch antenna is presented for wireless local area network (WLAN) dual-band operation (2.4 GHz and 5.8 GHz). The microstrip patch is aperture coupled to a microstrip line located along the diagonal line of the patch. The dual-band operation is realized by adjusting the frequency ratio of the TM10 and TM30 modes using four shorting posts. PIN diodes are employed to control the connection between the centre of each edge of the patch and the ground. By switching the PIN diodes, the proposed antenna can radiate either horizontal, vertical, or 45°linear polarization in the two frequency bands. The antenna are fabricated and measured. Good agreement is observed between the measured and the simulated results on reflection coefficients.
Qin, P-Y, Guo, YJ, Wei, F & IEEE 1970, 'Frequency Agile Monopole Antenna Using A Reconfigurable Bandpass Filter', 2014 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM (APSURSI), IEEE Antennas-and-Propagation-Society International Symposium (APSURSI), IEEE, Memphis, TN, USA, pp. 1250-1251.
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A novel microstrip monopole antenna with a reconfigurable -10 dB impedance bandwidth is proposed in this paper for cognitive radios. The antenna is fed by a microstrip line integrated with a stub coupled multiple-mode-resonator (MMR) filter. The reconfiguration of the filter makes the circular disc monopole antenna operate at either a wideband state from 3.8 to 6.9 GHz or a narrowband state by using a PIN diode. For the narrowband state, two varactor diodes are employed to change the antenna operating frequency from 4.3 to 6.6 GHz with a minimum 40 MHz bandwidth. Preliminary simulated results on input reflection coefficients for different states of the antenna are discussed in the paper.
Qin, P-Y, Guo, YJ, Weily, AR & IEEE 1970, 'A Sub-wavelength Reflectarray Element Based on Double Square Rings Loaded with Meander Lines', 2014 8TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), European Conference on Antennas and Propagation, IEEE, The Hague, Netherlands, pp. 2296-2298.
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A sub-wavelength phase-shifter element is presented for a single-layer reflectarray design at 10 GHz. The element has a size of around a fifth of a wavelength and consists of double concentric square rings loaded with meander lines. By changing the length of the meander line from 0 to 1mm, a 340 degree phase variation range can be achieved, which is much greater than many reported sub-wavelength reflectarray elements. In addition, the slope of the phase response remains almost constant at 9 GHz and 11 GHz, implying the proposed element has broadband properties. A WR 90 waveguide is used to measure the reflection phase of the elements and good agreement between the simulated and measured results are obtained.
Ranga, Y, Matekovits, L, Peter, I, Esselle, KP, Orefice, M & Bird, TS 1970, 'Width modulated microstrip line patterned surface for isotropic cloak', 2014 International Conference on Electromagnetics in Advanced Applications (ICEAA), 2014 International Conference on Electromagnetics in Advanced Applications (ICEAA), IEEE, NETHERLANDS, pp. 830-833.
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Shariati, N, Rowe, WST & Ghorbani, K 1970, 'Highly sensitive rectifier for efficient RF energy harvesting', 2014 44th European Microwave Conference, 2014 44th European Microwave Conference (EuMC), IEEE, Rome, Italy, pp. 1190-1193.
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© 2014 European Microwave Association. RF (Radio Frequency) energy harvesting is a promising technique to provide a sustainable energy source for the long-term conservation of the environment and the global economy. To address this, we proposed an efficient rectifier over a wide low input RF power range (-40 to -10 dBm) for broadcasting band (520- 590 MHz) to determine the usefulness of exploiting freely available RF energy sources in this band. The input reflection coefficient and rectified output power demonstrate the practical feasibility of this low-power rectification technique. Power conversion efficiency (PCE) of 53% and 1.5% are achieved for a single-tone input power of -10 dBm and -40 dBm respectively. Therefore, this innovative technique has the potential to generate a viable perpetual energy source for low power applications in urban environments.
Shrestha, S, Gengfa Fang, Dutkiewicz, E & Xiaojing Huang 1970, 'Addressing Hidden Terminals in WLANs with Zero Forcing Coordinated Beamforming', 2014 14th International Symposium on Communications and Information Technologies (ISCIT), 2014 14th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Incheon Metropolitan City, Incheon, SOUTH KOREA, pp. 249-253.
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© 2014 IEEE. We present here a new technique that can be used to address a well-known Hidden Terminal problem in Wireless Local Area Networks. Specifically, Zero Forcing Coordinated Beamforming can be applied, in a hidden terminal scenario, in order to null the signal of the interfering transmitter so that desired transmission can take place without collision at the receiver. Basically, a precoding range of a receiver is used as a determinant in order to take a nulling decisions based on the notion that a successful transmission depends on the interference free condition at the receiver. We demonstrate the feasibility of the approach in an USRP2/GNURadio test-bed prototype. Our scheme improves the SNR and Effective SNR from about 5 to 11 dB in a hidden terminal scenario and maintains collision free simultaneous transmissions.
Teng, K, Wang, J, Xu, M & Lu, H 1970, 'Mask Assisted Object Coding with Deep Learning for Object Retrieval in Surveillance Videos', Proceedings of the 22nd ACM international conference on Multimedia, MM '14: 2014 ACM Multimedia Conference, ACM, Orlando, Florida, USA.
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Tune, P & Veitch, D 1970, 'OFSS', Proceedings of the 2014 Conference on Internet Measurement Conference, IMC '14: Internet Measurement Conference, ACM, Canada, pp. 235-240.
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Copyright © 2014 by the Association for Computing Machinery, Inc. (ACM). We introduce a new method for ow size estimation, the Op- Timised Flow Sampled Sketch, which combines the optimal properties of Flow Sampling with the computational advan- Tages of a counter array sketch. Using Fisher Information as a definitive basis of comparison, we show that it is superior to alternatives in both model and traffic based comparisons.
Wan, Y, Wu, Q & He, X 1970, 'Dense feature correspondence for video-based endoscope three-dimensional motion tracking', IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), IEEE, Valencia, pp. 49-52.
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This paper presents an improved video-based endoscope tracking approach on the basis of dense feature correspondence. Currently video-based methods often fail to track the endoscope motion due to low-quality endoscopic video images. To address such failure, we use image texture information to boost the tracking performance. A local image descriptor - DAISY is introduced to efficiently detect dense texture or feature information from endoscopic images. After these dense feature correspondence, we compute relative motion parameters between the previous and current endoscopic images in terms of epipolar geometric analysis. By initializing with the relative motion information, we perform 2-D/3-D or video-volume registration and determine the current endoscope pose information with six degrees of freedom (6DoF) position and orientation parameters. We evaluate our method on clinical datasets. Experimental results demonstrate that our proposed method outperforms state-of-the-art approaches. The tracking error was significantly reduced from 7.77 mm to 4.78 mm. © 2014 IEEE.
Wang, D, Yuan, C, Sun, Y, Zhang, J & Zhou, H 1970, 'Fast Mode and Depth Decision Algorithm for Intra Prediction of Quality SHVC', Intelligent Computing Theory, International Conference on Intelligent Computing, Springer International Publishing, Taiyuan, China, pp. 693-699.
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Scalable High-Efficiency Video Coding (SHVC) is an extension of High Efficiency Video Coding (HEVC). Since the coding procedure for HEVC is very complex, the coding procedure for SHVC is even more complex, it is very important to improve its coding speed. In this paper, we have proposed a fast mode and depth decision algorithm for Intra prediction of Quality SHVC. Initially, only partial modes are checked to determine the local minimum points (LMPs) based on the relationships between the modes and their corresponding Hadamard Costs (HC); and then only partial depths are checked by skipping depths with low possibilities indicated based on their inter-layer correlations and textural features. The experimental results showed that the proposed algorithm could improve coding speed by 61.31% on average with negligible coding efficiency losses.
Wang, H, Liu, RP, Ni, W, Chen, W & Collings, IB 1970, 'A new analytical model for highway inter-vehicle communication systems', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, Sydney, NSW, Australia, pp. 2581-2586.
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In Vehicular Ad Hoc Networks (VANETs), vehicles along highways can be grouped into clusters. The design of VANET clusters (i.e., size and geographical span) depends on the packet collision in MAC layer, the wireless channel conditions in PHY layer, and the mobility of the vehicles. Existing works investigated these effects separately. In this paper, we present a comprehensive analysis that combines these three important factors into one model. In particular, we model an unsaturated VANET cluster with a Markov chain by introducing an idle state. The wireless channel fading and vehicle mobility are integrated by explicitly deriving the joint distribution of inter-vehicle distances. Closed-form expressions of network performance measures, i.e., packet loss probability and system throughput, are derived. The proposed analytic model, validated by simulations, is able to accurately characterize VANET performance. Our model can be applied to the design of VANET clusters, and reveals a number of insights that provide guidelines for VANETs design and management. © 2014 IEEE.
Wang, Y, Di, H, Wang, B, Liang, W, Zhang, J & Jia, Y 1970, 'Depth Super-resolution by Fusing Depth Imaging and Stereo Vision with Structural Determinant Information Inference', 2014 22nd International Conference on Pattern Recognition, 2014 22nd International Conference on Pattern Recognition (ICPR), IEEE, Stockholm, Sweden, pp. 4212-4217.
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In this paper, we present a depth super-resolution
framework by fusing depth imaging and stereo vision for highresolution
and high-accuracy depth maps. Depth cameras and
stereo vision have their own limitations in some aspects, but
their characteristics of range sensing are complementary. Thus,
combining both approaches can produce more satisfactory results
than either one. Unlike previous fusion methods, we initially
taking the noisy depth observation from depth camera as prior
information of scene structure. The prior information of scene
structure is also utilized to infer structural determinant information,
like depth discontinuity and occlusion, which is essential
to improve the quality of depth map in the fusion process. In
succession, the prior knowledge helps to overcome difficulties of
intensity inconsistency in image observation from stereo vision
component. Experimental results dem
Wazirali, RA, Chaczko, Z & Carrión, L 1970, 'Multilayers DNA-QR Based Steganography', Asia-Pacific Conference on Computer Aided System Engineering – APCASE 2014, Bali, Indonesia.
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Biological systems have been a rich source of stimulation for computer security specialists. A wide number of approaches have been proposed over the last decade for encoding data using deoxyribonucleic acid (DNA), giving rise to the developing area of DNA data hiding. In this work, a new data hiding technique based upon DNA characteristic have been developed. DNA matrix has been used to represent the secret message. After that DNA matrix converted to QR (Quick Response) representation that offers a broad scope of practical usage. In addition, we embed the QR codes into the cover image by applying the Haar Wavelet technique on the resulting DNA signals and LSB. Experimental results have presented a high PSNR which indicate a high level of quality in stego image with high capacity.
Wazirali, RA, Chaczko, Z & Kale, A 1970, 'Digital multimedia archiving based on optimization steganography system', 2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE), 2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE), IEEE, Bali/South Kuta, pp. 82-86.
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© 2014 IEEE. As soon as digital artifacts have become a part and parcel of everyday life, the need for digital media archives with the capacity of preserving the given metadata has risen impressively. The process of converting the digital metadata to archives, however, is fraught with a number of difficulties, the key one concerning the methodology for embedding high payload capacity information into the digital multimedia and at the same time retains high quality of the image. The given paper will consider steganography as a possible solution to the aforementioned issue. Allowing for detecting the genetic algorithm for boosting the PSNR value with the information of high capacity will help solve the issue regarding the digital multimedia archiving. Many sizes of data are embeded inside the images and the PSNR (Peak signal-to-noise ratio) is also taken for each of the images verified.
Wei, F, Shi, XW, Qin, PY, Guo, YJ & IEEE 1970, 'Compact UWB Power Divider with Unequal Distribution Ratio', 2014 INTERNATIONAL WORKSHOP ON ANTENNA TECHNOLOGY: 'SMALL ANTENNAS, NOVEL EM STRUCTURES AND MATERIALS, AND APPLICATIONS' (IWAT), IEEE, pp. 297-299.
Xu, J, Wu, Q, Zhang, J, Silk, B, Ngo, GT & Tang, Z 1970, 'Efficient People Counting with Limited Manual Interferences', 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, Wollongong, NSW, Australia.
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© 2014 IEEE. People counting is a topic with various practical applications. Over the last decade, two general approaches have been proposed to tackle this problem: a) counting based on individual human detection; b)counting by measuring regression relation between the crowd density and number of people. Because the regression based method can avoid explicit people detection which faces several well-known challenges, it has been considered as a robust method particularly on a complicated environments. An efficient regression based method is proposed in this paper, which can be well adopted into any existing video surveillance system. It adopts color based segmentation to extract foreground regions in images. Regression is established based on the foreground density and the number of people. This method is fast and can deal with lighting condition changes. Experiments on public datasets and one captured dataset have shown the effectiveness and robustness of the method.
Xu, L, Gong, C, Yang, J, Wu, Q, Yao, L & IEEE 1970, 'VIOLENT VIDEO DETECTION BASED ON MoSIFT FEATURE AND SPARSE CODING', 2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Florence, Italy, pp. 3538-3542.
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To detect violence in a video, a common video description method is to apply local spatio-temporal description on the query video. Then, the low-level description is further summarized onto the high-level feature based on Bag-of-Words (BoW) model. However, traditional spatio-temporal descriptors are not discriminative enough. Moreover, BoW model roughly assigns each feature vector to only one visual word, therefore inevitably causing quantization error. To tackle the constrains, this paper employs Motion SIFT (MoSIFT) algorithm to extract the low-level description of a query video. To eliminate the feature noise, Kernel Density Estimation (KDE) is exploited for feature selection on the MoSIFT descriptor. In order to obtain the highly discriminative video feature, this paper adopts sparse coding scheme to further process the selected MoSIFTs. Encouraging experimental results are obtained based on two challenging datasets which record both crowded scenes and non-crowded scenes. © 2014 IEEE.
Yang, X, Cui, Q, Dutkiewicz, E, Huang, X, Tao, X & Fang, G 1970, 'Anti-noise-folding regularized subspace pursuit recovery algorithm for noisy sparse signals', 2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, Istanbul, Turkey, pp. 275-280.
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© 2014 IEEE. Denoising recovery algorithms are very important for the development of compressed sensing (CS) theory and its applications. Considering the noise present in both the original sparse signal x and the compressive measurements y, we propose a novel denoising recovery algorithm, named Regularized Subspace Pursuit (RSP). Firstly, by introducing a data pre-processing operation, the proposed algorithm alleviates the noise-folding effect caused by the noise added to x. Then, the indices of the nonzero elements in x are identified by regularizing the chosen columns of the measurement matrix. Afterwards, the chosen indices are updated by retaining only the largest entries in the Minimum Mean Square Error (MMSE) estimated signal. Simulation results show that, compared with the traditional orthogonal matching pursuit (OMP) algorithm, the proposed RSP algorithm increases the successful recovery rate (and reduces the reconstruction error) by up to 50% and 86% (35% and 65%) in high noise level scenarios and inadequate measurements scenarios, respectively.
Ye, T, Veitch, D & Johnson, S 1970, 'RA-inspired codes for efficient information theoretic multi-path network security', Proceedings of 2014 International Symposium on Information Theory and Its Applications, ISITA 2014, International Symposium on Information Theory and Its Applications, IEEE, Australia, pp. 408-412.
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Mobile devices have multiple network interfaces, some of which have security weaknesses, yet are used for sensitive data despite the risk of eavesdropping. We describe a data-splitting approach which, by design, maps exactly to a wiretap channel, thereby offering information theoretic security. Being based on the deletion channel, it perfectly hides block boundaries from the eavesdropper, which enhances security further. We provide an efficient Repeat Accumulate inspired code design, which satisfies the security criterion, and explore its security rate as a function block size and other parameters.
Zhang, G & Piccardi, M 1970, 'Sequential labeling with structural SVM under the F<inf>1</inf> loss', 2014 IEEE International Conference on Image Processing (ICIP), 2014 IEEE International Conference on Image Processing (ICIP), IEEE, Paris.
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Sequential labeling addresses the classification of sequential data and is of increasing importance for the classification and segmentation of video data. The model traditionally used for sequential labeling is the hidden Markov model where the sequence of class labels to be predicted is encoded as a Markov chain. In recent years, hidden Markov models and other structural models have benefited from minimum-loss training approaches which in many cases lead to greater classification accuracy. However, the loss functions available for training are restricted to decomposable cases such as the zero-one loss and the Hamming loss. Other useful losses such as the F1 loss, equal error rates and others are not available for sequential labeling. For this reason, in this paper we propose a training algorithm that can cater for the F1 loss and any other loss function based on the contingency table. Experimental results over the challenging TUM Kitchen Dataset depicting human actions in a kitchen scenario show that the proposed training approach leads to significant improvement of different performance metrics such as the classification accuracy (4.3 percentage points) and the F1 measure (8.9 percentage points).
Zhang, JA & Huang, X 1970, 'DFT-OFDM systems with real modulation and DC-biasing for intensity modulated direct-detection optical communications', 2014 IEEE International Conference on Communications (ICC), ICC 2014 - 2014 IEEE International Conference on Communications, IEEE, IEEE, pp. 3359-3364.
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This paper investigates discrete Fourier Transform (DFT)-precoded OFDM systems (DFT-OFDM) for intensity modulated direct-detection optical communications. Such scheme can be used to support both single and multiple user communications. Two DFT-OFDM systems using real modulation and DC-biasing are proposed. Performance analysis based on signal-to-interference-and-noise ratio (SINR) is provided. Insights are provided for designing choices between different modulations, and between using DC-biasing and asymmetrical clipping approaches. Simulation results show that the proposed schemes largely outperform systems using asymmetrical clipping, particularly in the case of using higher order modulations. © 2014 IEEE.
Zhang, JA, Wei Ni, Matthews, J, Chang-Kyung Sung, Xiaojing Huang, Suzuki, H & Collings, I 1970, 'Low latency integrated point-to-multipoint and e-band point-to-point backhaul for mobile small cells', 2014 IEEE International Conference on Communications Workshops (ICC), 2014 ICC - 2014 IEEE International Conference on Communication Workshop (ICC), IEEE, Sydney, NSW, Australia, pp. 592-597.
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Wireless backhaul is one of the main challenges in small cell deployment. Current wireless backhaul systems have one or more limitations on capacity, link distance and supporting line-of-sight (LOS) links. In this paper, we propose a novel two-tier small-cell backhaul architecture which provides a future-proof, powerful, flexible and scalable solution by using aggregation nodes and integrating sub-6GHz point-to-multipoint (P2MP) and point-to-point E-band links. In the bottom tier of the proposed architecture, local small cells are connected to an aggregation node by P2MP and low-cost mega bits per second (Mbps) E-band links; in the top tier, aggregation nodes are inter-connected by LOS giga bits per second (Gbps) E-band links. PHY and higher layer protocols, which integrate the three different links into a comprehensive solution, are introduced. Designs of devices used in the architecture, which are being developed in CSIRO, are provided. Novel techniques that have been developed for achieving low-latency are detailed. Simulation results show that the backhaul latency can be as low as a few microseconds when only E-band backhaul links are involved. © 2014 IEEE.
Zheng, G, Fang, G, Orgun, MA, Shankaran, R & Dutkiewicz, E 1970, 'Securing wireless medical implants using an ECG-based secret data sharing scheme', 2014 14th International Symposium on Communications and Information Technologies (ISCIT), 2014 14th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Incheon Metropolitan City, Incheon, SOUTH KOREA, pp. 373-377.
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© 2014 IEEE. Wireless Implantable Medical Devices (IMDs), including pacemakers and cardiac defibrillators, often have built-in wireless modules in order to facilitate non-invasive programming and data read-out; however, most IMDs lack a security mechanism. The unique challenge is that IMDs should be able to be accessed by doctors at any legitimate hospital for emergency purposes, but conventional security mechanisms using keys or credentials cannot guarantee that doctors could obtain keys timely in emergency situations. To address this unique challenge, we present an ECG-based Secret Data Sharing (ESDS) scheme for securing wireless IMDs which does not require pre-deployed keys or credentials. The ESDS scheme makes use of electrocardiograph (ECG) features to hide a secret within the IMD before transmission, and then reveal the secret with simultaneously measured ECG features by an external programmer. This scheme can protect IMDs against eavesdropping and other active attacks. In addition, the scheme uses an improved fuzzy vault scheme in which hash functions are substituted for chaff points to hide genuine points on a polynomial. This improvement saves IMD resources in terms of memory and communications, making the ESDS scheme lightweight. Performance analysis shows that the ESDS scheme meets our design goal of security.
Zheng, G, Fang, G, Shankaran, R, Orgun, MA & Dutkiewicz, E 1970, 'An ECG-based Secret Data Sharing scheme supporting emergency treatment of Implantable Medical Devices', 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), IEEE, Sydney, Australia, pp. 624-628.
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© 2014 National Institute of Information and Communicatio. The security issue of wireless Implantable Medical Devices (IMD) is an emerging area of research. The unique challenge here is that an IMD should be accessed by doctors with no authorization for emergency treatments while it still has to be protected from adversaries. In this paper, we propose a novel ECG-based Secret Data Sharing (ESDS) scheme in order to protect the IMD data privacy against eavesdropping and other active attacks from adversaries. The scheme establishes a secure wireless channel wherein the secret is encrypted with a random ECG bit string generated from real-time ECG signals. This secret can only be revealed by an IMD programmer which has the ability of measuring real-time ECG signals synchronously with the IMD. Since there is no pre-deployment of credentials, the IMD can be accessed by doctors without prior authorization. Performance analysis based on the real ECG data shows that the encrypted secret cannot be revealed by non-real-time or other patients' ECG signals; thus, it achieves our design goal of providing robust security.
Zhou, J, Dutkiewicz, E, Liu, RP, Fang, G & Liu, Y 1970, 'Modified Elite Chaotic Immune Clonal Selection Algorithm for sever resource allocation in cloud computing systems', 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), 2014 International Symposium on Wireless Personal Multimedia Communications (WPMC), IEEE, Sydney, Australia, pp. 226-231.
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© 2014 National Institute of Information and Communicatio. Cloud computing is a promising technology to improve computational efficiency for both IT enterprise and individuals. Resource allocation in cloud computing is very challenging as both server computing power and network bandwidth are limited. The computational efficiency of cloud computing system can be significantly improved if the resources are allocated in a balanced fashion. However, resource allocation in cloud computing is a multi-constrained nonlinear optimization problem. The computational complexity for an exhaustive search over all combinations of resource allocations is too high for practical implementation. In this paper, we develop a Modified Elite Chaotic Immune Clonal Selection Algorithm to increase the overall efficiency of the system. An elite strategy and chaotic approaches are designed to improve population diversity and escape from local optima. Performance comparisons are made with simulated annealing algorithm (SA) and three other heuristic algorithms. Simulation results show that the Modified Elite Chaotic Immune Clonal Selection Algorithm solves the resource allocation problem with higher system resource efficiency than all other heuristic algorithms.
Zhou, J, Dutkiewicz, E, Liu, RP, Fang, G & Liu, Y 1970, 'QoS routing based on parallel elite clonal quantum evolution for multimedia wireless sensor networks', 2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, Istanbul, Turkey, pp. 2498-2503.
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© 2014 IEEE. Quality of Service (QoS) routing is one of the key enabling techniques for multimedia wireless sensor networks (WSNs). However, the multi-constraints QoS routing problem is an NP-hard problem, and the computational complexity of an exhaustive search over all the paths is too high for large scale multimedia WSNs. In this paper, a novel parallel elite clonal quantum evolutionary algorithm is proposed to solve the multi-constraints QoS routing problem. The proposed algorithm minimizes the energy consumption, while guaranteeing QoS performance, including delay, bandwidth, delay jitter and packet loss rate, in multimedia WSNs. The algorithm is tested by extensive simulations and its performance is compared with the genetic algorithm and ant colony optimization. Simulation results demonstrate that the proposed algorithm achieves lower energy consumption at a faster convergence rate than the other two evolutionary algorithms.
Zhou, J, Dutkiewicz, E, Liu, RP, Fang, G, Liu, Y & Huang, X 1970, 'A modified shuffled frog leaping algorithm for PAPR reduction in OFDM systems', TENCON 2014 - 2014 IEEE Region 10 Conference, TENCON 2014 - 2014 IEEE Region 10 Conference, IEEE, Piscataway, USA.
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© 2014 IEEE. Reducing peak-to-average power ratio (PAPR) is an implementation challenge in orthogonal frequency division multiplexing (OFDM) systems. One way to reduce PAPR is to apply a set of selected partial transmission sequence (PTS) to the transmit signals. However, PTS selection is a highly complex NP-hard problem and the computational complexity is very high when a large number of subcarriers are used in the OFDM system. In this paper, we propose a new heuristic PTS selection method, the modified chaos clonal shuffled frog leaping algorithm (MCCSFLA-PTS). The MCCSFLA-PTS is inspired by natural clonal selection of frog colony and based on chaos theory. Simulation results show that the proposed MCCSFLA-PTS achieves better PAPR reduction than genetic, quantum evolutionary and selective mapping algorithms. Furthermore, the proposed algorithm converges faster than the genetic and quantum evolutionary algorithms.
Zhou, J, Dutkiewicz, E, Liu, RP, Huang, X, Fang, G & Liu, Y 1970, 'Modified elite chaotic artificial fish swarm algorithm for PAPR reduction in OFDM systems', 2014 14th International Symposium on Communications and Information Technologies (ISCIT), 2014 14th International Symposium on Communications and Information Technologies (ISCIT), IEEE, Incheon Metropolitan City, Incheon, SOUTH KOREA, pp. 503-507.
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© 2014 IEEE. Orthogonal frequency division multiplexing (OFDM) is a leading technology in the field of broadband wireless communications. In OFDM systems, a high peak-to-average power ratio (PAPR) is a critical issue, which may cause a nonlinear distortion and reduce power efficiency. To reduce the PAPR, partial transmit sequences (PTS) technique can be applied to the transmit data. However, the phase factor sequence selection in PTS technique is a non-linear optimization problem and it suffers from high complexity and memory use when there is a large number of non-overlapping sub-blocks in one symbol. In this paper a novel modified elite chaotic artificial fish swarm algorithm for PTS method (MECAFSA-PTS) is proposed to generate the optimum phase factors. The MECAFSA-PTS method is evaluated with extensive simulations and its performance is compared with quantum evolutionary and selective mapping algorithms. Our results show that the proposed MECAFSA-PTS algorithm is efficient in PAPR reduction.
