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IEEE International Symposium on Intelligent Signal Processing and Communication systems (ISPACS)

作者： Akira Sasou Nyamerdene Odontsengel Smart Communication Research Group Intelligent Systems Research Institute Advanced Industrial Science and Technology Tsukuba Ibaraki Japan Department of Computer Science Graduate school of System and Information Engineering University of Tsukuba Tsukuba Ibaraki Japan

ISBN: (纸本)9781467350839

The importance of video surveillance applications has been increasing with the increase of crime and terrorism. In addition to traditional video cameras, the use of acoustic sensors in surveillance and monitoring applications is also becoming increasingly important. In this paper, we apply High-Order Local Auto-Correlation (HLAC), which has succeeded in video surveillance applications, to extract features from acoustic signals in order to construct an acoustic surveillance system based on a novelty detection approach. We also apply Non-Negative Matrix Factorization (NMF) to this problem. Experiment results confirmed that the AHLAC-based method outperforms the NMF-based and the cepstrum-based methods under all SNR conditions. The combined NMF-AHLAC method was able to improve the Equal Error Rate (EER) at lower SNRs, although the EERs at higher SNRs tend to degrade.

关键词： Acoustics Time frequency analysis Vectors Feature extraction Matrix decomposition Video surveillance

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A 13.56 MHz rectifier with efficiency-improving harmonic-termination circuit for wireless power transmission systems

A 13.56 MHz rectifier with efficiency-improving harmonic-ter...

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European Radar Conference (EURAD)

作者： S. Yoshida M. Tanomura R. A. Chinga J. Lin Wei-ting Chen Smart Energy Research Lab. NEC Corporation Tsukuba Japan Department of Electrical & Computer Engineering University of Florida Gainesville Florida USA Electronics and Optoelectronics Research Laboratories Industrial Technology Research Institute Hsinchu Taiwan

New efficiency-improving technique applicable for all types of shunt-diode rectifier is presented. The proposed technique using a harmonic-termination circuit improves the efficiency of conventional shunt-diode rectifiers by nearly 10% at 13.56 MHz. The efficiency of a shunt-diode rectifier was analyzed by using Fourier transform and it is concluded that the efficiency loss can be significantly reduced by using a series resonant circuit to terminate the 2nd harmonic component. The series harmonic-termination circuit consists of lumped components, so that the circuit size in MHz band can be smaller compared to a conventional shunt-diode rectifier with a λ/4 stub line technique. In this paper, both theoretical analysis and experimental results are presented. The proposed circuit can be used for high efficiency and compact wireless power receivers to improve efficiency of emerging wireless power transmission or energy harvesting systems.

关键词： Rectifiers Power harmonic filters Harmonic analysis Wireless communication Power transmission Radio frequency Simulation

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A 13.56 MHz rectifier with efficiency-improving harmonic-termination circuit for wireless power transmission systems

A 13.56 MHz rectifier with efficiency-improving harmonic-ter...

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European Conference on Microwave

关键词： Rectifiers Power harmonic filters Harmonic analysis Wireless communication Power transmission Radio frequency Simulation

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Survivable Virtual Infrastructure Mapping in Virtualized Data Centers

Survivable Virtual Infrastructure Mapping in Virtualized Dat...

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IEEE International Conference on Cloud Computing, CLOUD

作者： Jielong Xu Jian Tang Kevin Kwiat Weiyi Zhang Guoliang Xue Department of Electrical Engineering and Computer Science at Syracuse University Air Force Research Lab (AFRL) AT&T Labs Research School of Computing Informatics and Decision Systems Engineering at Arizona State University

In a virtualized data center, survivability can be enhanced by creating redundant Virtual Machines (VMs) as backup for VMs such that after VM or server failures, affected services can be quickly switched over to backup VMs. To enable flexible and efficient resource management, we propose to use a service-aware approach in which multiple correlated VMs and their backups are grouped together to form a Survivable Virtual Infrastructure (SVI) for a service or a tenant. A fundamental problem in such a system is to determine how to map each SVI to a physical data center network such that operational costs are minimized subject to the constraints that each VM's resource requirements are met and bandwidth demands between VMs can be guaranteed before and after failures. This problem can be naturally divided into two sub-problems: VM Placement(VMP) and Virtual Link Mapping (VLM). We present a general optimization framework for this mapping problem. Then we present an efficient algorithm for the VMP sub problem as well as a polynomial-time algorithm that optimally solves the VLM sub problem, which can be used as subroutines in the framework. We also present an effective heuristic algorithm that jointly solves the two sub problems. It has been shown by extensive simulation results based on the real VM data traces collected from the green data center at Syracuse University that compared with the First Fit Descending (FFD) and single shortest path based baseline algorithm, both our VMP+VLM algorithm and joint algorithm significantly reduce the reserved bandwidth, and yield comparable results in terms of the number of active servers.

关键词： Servers Bandwidth Heuristic algorithms Cloud computing Joining processes Virtual machining

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The new multipoint relays selection in OLSR using particle swarm optimization

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Telkomnika 2012年第2期10卷 343-352页

作者： Malik, Reza Firsandaya Rahman, Tharek Abdul Ngah, Razali Hashim, Siti Zaiton Mohd. Communication Network and Security Research Lab Faculty of Computer Science Universitas Sriwijaya Indonesia Wireless Communication Centre Faculty of Electrical Engineering Universiti Teknologi Malaysia Faculty of Computer Science and Information Systems Universiti Teknologi Malaysia

The standard optimized link state routing (OLSR) introduces an interesting concept, the multipoint relays (MPRs), to mitigate message overhead during the flooding process. This paper propose a new algorithm for MPRs selection to enhance the performance of OLSR using particle swarm optimization sigmoid increasing inertia weight (PSOSIIW). The sigmoid increasing inertia weight has significance improve the particle swarm optimization (PSO) in terms of simplicity and quick convergence towards optimum solution. The new fitness function of PSOSIIW, packet delay of each node and degree of willingness are introduced to support MPRs selection in OLSR. The throughput, packet loss and end-toend delay of the proposed method are examined using network simulator 2 (ns2). Overall results indicate that OLSR-PSOSIIW has shown good performance compared to the standard OLSR and OLSR-PSO, particularly for the throughput and end-to-end delay. Generally the proposed OLSR-PSOSIIW shows advantage of using PSO for optimizing routing paths in the MPRs selection algorithm. © 2012 Universitas Ahmad Dahlan.

关键词： Particle swarm optimization (PSO)

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EEG-based motor imagery classification using wavelet coefficients and ensemble classifiers

EEG-based motor imagery classification using wavelet coeffic...

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International Symposium on Artificial Intelligence and Signal Processing (AISP)

作者： Reza Ebrahimpour Kioumars Babakhani Morteza Mohammad-Noori Brain and Intelligent Systems Research Lab Department of Electrical and Computer Engineering Shahid Rajaee Teacher Training University Tehran Iran School of Mathematics Statistics and Computer Science University of Tehran Iran

Brain-computer interface (BCI) is a system that captures and decodes electroencephalogram (EEG) signals and transforms human thoughts into actions. To achieve this goal, using classification algorithms are most popular approach. However, classification of EEG signals can be categorized in complex problems because of high nonlinearity, high dimensionality, poor signal to noise ratio and poor spatial resolution. Combining classifiers is an approach to improve the performance of complex problems. In this article we studied the application of combining classifiers based on wavelet features to improve the performance of EEG signal classification in BCI systems. Three normal subjects K3b, K6b and L1b were asked to perform imaginary movements of left hand, right hand, tongue and foot during predefined time interval. EEG signals were decomposed into wavelet coefficients by discrete wavelet transform and used as feature vectors, presenting them into classifiers. Four combining classifiers were used to evaluate the EEG signals. Experimental results show that wavelet transform is an appropriate tool for the analyzing EEG signals. Also, according to the results of the experiments, mixture of experts overcomes the other used combining methods.

关键词： Electroencephalography Accuracy Wavelet coefficients Support vector machines Feature extraction Training

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Principles of the active collision mitigation system for vehicles involved in light impact 13

Principles of the active collision mitigation system for veh...

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13th Mini Conference on Vehicle System Dynamics, Identification and Anomalies, VSDIA 2012

作者： Mihály, András Gáspár, Péter Szabó, Zoltán Sename, Oliver Dugard, Luc Department of Control and Transport Automation Faculty of Transportation Engineering and Vehicle Engineering Budapest University of Technology and Economics Bertalan L. U. 2. Budapest Hungary Computer and Automation Research Institute Systems and Control Laboratory Kende U. 13-17 Budapest Hungary Control Systems Department GIPSA-Lab 11 Rue des Mathématiques ENSE3 BP 46 St martin d'Hrescedex GrenobleF-38402 France

ISBN: (纸本)9789633131022

The paper presents a collision mitigation method in which the aim is to stabilize the motion of the vehicle after a light impact has occurred. A yaw rate servo control based on the bicycle model is applied for control purposes. The collision is assumed to have been detected by a passive safety system, e.g., airbag sensors. The control system is activated by the monitoring signal. After the collision has occurred the motion of the vehicle and the operation of the control system are illustrated through CarSim simulation examples. Two control solutions are analyzed: in the first case active steering is used while in the second case steering is combined with differential braking. With the knowledge of certain vehicle parameters and the impact force and direction, post impact vehicle states (yaw rate, velocities, roll rate) can be analyzed. A sensitivity analysis is carried out to determine the validity range of the vehicle model in the presence of uncertainties and different kinds of impact forces. Several software packages are used for the design and analysis of the controlled system. The control design is performed by using the Matlab/Simulink software and the verification of the designed controller is performed by using the CarSim software.

关键词： Automobile steering equipment

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System concept of a compact multi-antenna GNSS receiver

System concept of a compact multi-antenna GNSS receiver

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2012 the 7th German Microwave Conference, GeMiC 2012

作者： Basta, Nikola Dreher, Achim Caizzone, Stefano Sgammini, Matteo Antreich, Felix Kappen, Götz Irteza, Safwat Stephan, Ralf Hein, Matthias A. Schäfer, Eric Richter, André Khan, Muhammad Abdullah Kurz, Lothar Noll, Tobias G. Oberpfaffenhofen Wessling 82234 Germany Institute for Information Technology RF and Microwave Research Lab Ilmenau University of Technology Ilmenau 98684 Germany Institut für Mikroelektronik- und Mechatronik-Systeme Gemeinnützige GmbH Ilmenau 98693 Germany Department of Electrical Engineering and Computer Systems RWTH Aachen University Aachen 52062 Germany

ISBN: (纸本)9783981266849

This paper presents the conceptual design of a compact 2×2 array receiver for GNSS applications. Besides mere miniaturization, the goal of this work is also investigation on novel techniques for coping with the strong mutual coupling imposed in electrically small antenna arrays and RF front ends, by means of eigenmode reception and digital beamforming in the beam space. © 2012 Institut f r Mikrowellen.

关键词： Beamforming

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Diagnostic Fusion for Time-Triggered Automotive Networks

Diagnostic Fusion for Time-Triggered Automotive Networks

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IEEE International Symposim on High Assurance systems engineering

作者： Utsav Drolia Soila P. Kavulya Kunal Mankodiya Priya Narasimhan Thomas E. Fuhrman Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA Electrical & Control Systems Research Lab General Motors R&D Warren MI

Modern vehicles with semi-autonomous (driver-assistance systems) and autonomous capabilities require sophisticated on-board and off-board diagnostics for safe operation, and to reduce unnecessary component replacements at the service garage. We present a diagnostic approach that strategically fuses different sources of instrumentation available in a time-triggered automotive network (Flex Ray) for vehicle control, and learns patterns or signatures of different faults. These patterns ease the classification of faults during runtime or in the service garage. We evaluate our approach through fault-injection experiments on an automotive test bench, and demonstrate that by fusing different sources of instrumentation we can diagnose protocol-level and physical faults with over 98% accuracy. We also show that our approach is applicable across different network topologies.

关键词： Instruments Network topology Automotive engineering Vehicles Synchronization Monitoring Protocols

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Dynamics of information systems: Mathematical foundations

Springer Proceedings in Mathematics and Statistics

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Springer Proceedings in Mathematics and Statistics 2012年 20卷

作者： Sorokin, Alexey Murphey, Robert Thai, My T. Pardalos, Panos M. Industrial and Systems Engineering University of Florida Gainesville FL United States Air Force Research Lab Eglin Air Force Base FL United States Department of Computer and Information Science and Engineering University of Florida Gainesville FL United States Center for Applied Optimization Industrial and Systems Engineering University of Florida Gainesville FL United States National Research University Higher School of Economics Moscow Russia

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