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36th Annual IEEE International Computer Software and Applications Conference Workshops, COMPSACW 2012

作者： Sun, Chang-Ai Wang, Guan Cai, Kai-Yuan Chen, Tsong Yueh School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Department of Automatic Control Beijing University of Aeronautics and Astronautics Beijing China State Key Laboratory of Computer Science Institute of Software Chinese Academy of Science Beijing China Facuity of Information and Communication Technologies Swinburne University of Technology Melbourne VIC Australia

ISBN: (纸本)9780769547589

Mutation analysis is widely employed to evaluate the effectiveness of various software testing techniques. In most situations, mutation operators are uniformly applied to the original programs, while the faults tend to be clustered in practice. This may result in the inappropriate simulation of faults, and thus cannot deliver the reliable evaluation results. To overcome this, we propose a distribution-aware mutation analysis technique and conducted empirical studies to investigate the impact of the mutation distribution on the effectiveness evaluation of testing techniques. As an illustration, we select the commonly practiced random testing technique and two versions of dynamic random testing techniques and apply them to testing Web services. Results of empirical studies suggest that the mutation distribution significantly affects the evaluation results. This observation further indicates that the effectiveness of testing techniques previously evaluated with the uniform mutation analysis needs further realignments. © 2012 IEEE.

关键词： Software testing

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Automatic detection of photic evoked spikes contaminated with slow burst by use of morphological filter and similarity coefficient

Automatic detection of photic evoked spikes contaminated wit...

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6th International Conference on Complex Medical engineering, CME 2012

作者： Nishida, Shigeto Sugi, Takenao Ikeda, Akio Nagamine, Takashi Shibasaki, Hiroshi Nakamura, Masatoshi Department of Computer and Communication Engineering Fukuoka Institute of Technology Fukuoka Japan Department of Advanced Systems Control Engineering Saga University Saga Japan Department of Neurology Kyoto University School of Medicine Kyoto Japan Department of System Neuroscience Sapporo Medical University Sapporo Japan Takeda General Hospital Kyoto Japan Research Institute of Systems Control Saga Japan

ISBN: (纸本)9781467316163

A method for detecting spikes and slow burst in photic evoked electroencephalogram (EEG) was proposed. The spikes were detected by combining methods of the morphological filter and the similarity coefficient in the time domain. The slow burst was detected by using pole of AR model (auto-regressive model) in the frequency domain. The proposed method was applied for the photic evoked EEG data containing spikes and slow burst, and brought satisfactory coincidence with the results interpreted by a qualified electroencephalographer. © 2012 IEEE.

关键词： Electroencephalography

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Ant colony algorithm and genetic algorithm optimization for test vector reordering

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Information technology Journal 2012年第12期11卷 1786-1789页

作者： Shang, Jin Zhang, Liyong College of Measure-Control Technology and Communication Engineering Harbin University of Science and Technology Harbin 150080 China School of Electrical and Information Engineering Heilongjiang Institute of Technology Harbin 150050 China

Power dissipation during testing has been found to be much more than during normal mode due to increased switching activity. Test vector reordering technique helps mitigate this problem as it enables the reduction of switching activity during testing. This study presents a new test vector reordering approach. This approach maps the reordering problem to Traveling Salesman Problem (TSP). A hybrid ant colony algorithm and genetic algorithm is presented to solve this problem. The proposed approach is effective and verified with ISCAS'85 benchmark circuits which shows that yield on an average of about 30.05% reduction in switching activity. © 2012 Asian Network for Scientific Information.

关键词： Genetic algorithms

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Design and construction of tapered cells

Design and construction of tapered cells

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Conference on Precision Electromagnetic measurements (CPEM)

作者： W. T. Shay W. P. Hong R. R. Lao Department of Communication Engineering National Chiao Tung University Taiwan Center for Measurement Standards Industrial Technology Research Institute Taiwan

ISBN: (纸本)9781467304399

Tapered cells are used in E-field probes calibration [1]-[2]. Nevertheless, few studies on tapered cells are found. In this paper, the structure of taper cells is introduced and a theoretical model for characteristic impedance calculation is provided. Based on this model, we constructed a tapered cell. And the model is then verified by the measured characteristic impedances of the tapered cell.

关键词： Impedance Probes TEM cells Capacitance Calibration Impedance measurement Transmission line measurements

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Bottleneck Prediction Method Based on Improved Adaptive Network-based Fuzzy Inference System (ANFIS) in Semiconductor Manufacturing System

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Chinese Journal of Chemical engineering 2012年第6期20卷 1081-1088页

作者：曹政才邓积杰刘民王永吉 College of Information Science and Technology Beijing University of Chemical Technology Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University Tsinghua National Laboratory for Information Science and Technology State Key Laboratory of Computer Science Institute of SoftwareChinese Academy of SciencesBeijing 100190China

Semiconductor manufacturing (SM) system is one of the most complicated hybrid processes involved continuously variable dynamical systems and discrete event dynamical systems. The optimization and scheduling of semiconductor fabrication has long been a hot research direction in automation. Bottleneck is the key factor to a SM system, which seriously influences the throughput rate, cycle time, time-delivery rate, etc. Efficient prediction for the bottleneck of a SM system provides the best support for the consequent scheduling. Because categorical data (product types, releasing strategies) and numerical data (work in process, processing time, utilization rate, buffer length, etc.) have significant effect on bottleneck, an improved adaptive network-based fuzzy inference system (ANFIS) was adopted in this study to predict bottleneck since conventional neural network-based methods accommodate only numerical inputs. In this improved ANFIS, the contribution of categorical inputs to firing strength is reflected through a transformation matrix. In order to tackle high-dimensional inputs, reduce the number of fuzzy rules and obtain high prediction accuracy, a fuzzy c-means method combining binary tree linear division method was applied to identify the initial structure of fuzzy inference system. According to the experimental results, the main-bottleneck and sub-bottleneck of SM system can be predicted accurately with the proposed method.

关键词： semiconductor manufacturing system bottleneck prediction adaptive network-based fuzzy inference system

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A design of Rotman lens for phase antenna array

A design of Rotman lens for phase antenna array

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Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)

作者： Wan Chen Jiahui Fu Qun Wu Jun Hua Department of Electronics and Communication Engineering Harbin Institute of Technology Harbin Heilongjiang China Science and Technology on Communication Information Security Control Laboratory Jiaxing Zhejiang China

In this work, a wide banded planar multi-input/output port Rotman lens for phase array antennas is investigated by simulation. The Rotman lens consists of lens and delay lines. With essential parameters, the outline of the lens is calculated by Matlab, in this way we can design a Rotman lens with certain functions, also the model is constructed by simulation software with the data imported from Matlab. The lens consists of the lens and the delay line. A useful segmented design of the delay line is applied to improve the transmission efficiency. A principle for dumpy port design is raised to improve the output characteristics. By this way, the magnitude error of different frequency is limited within 3 dB and below 5 dB when the port is changed. The lens offers a phase shift from -70 degree to +70 degree with a changeable step.

关键词： Lenses Arrays Delay lines Mathematical model Antenna arrays MATLAB Equations

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Non-negative matrix factorization and support vector data description based one class classification

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International Journal of Computer Science Issues 2012年第5 5-2期9卷 36-42页

作者： Ma, Liyong Feng, Naizhang Wang, Qi School of Information and Electrical Engineering Harbin Institute of Technology at Weihai Weihai 264209 China Department of Automatic Measurement and Control Harbin Institute of Technology Harbin 150001 China

One class classification is widely used in many applications. Only one target class is well characterized by instances in the training data in one class classification, and no instance is available for other non-target classes, or few instances are present and they cannot form statistically representative samples for the negative concept. A two-step paradigm employing nonnegative matrix factorization (NMF) and support vector data description (SVDD) for one class classification training of nonnegative data is developed. Firstly, a projected gradient based NMF method is used to find the hiding structure from the training instances and the training instances are projected into a new feature space. Secondly, SVDD is employed to perform one class classification training with the projected feature data. Classification examples demonstrate that the proposed method is superior to principal component analysis (PCA) based SVDD method and other standard one class classifiers. (c) 2012 International Journal of Computer Science Issues.

关键词： Non-negative matrix factorization

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Trend prediction method of running stability deterioration faced to wind power group

Trend prediction method of running stability deterioration f...

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第四届国际自动化测试与仪器仪表学术会议

作者： Jiang Zhanglei Xu Xiaoli Ren Bin School of Mechanical and Vehicle Engineering Beijing Institute of Technology Key Laboratory of Modern Measurement & Control Technology Ministry of EducationBeijing Information Science and Technology University

A running stability prediction model faced to wind power equipment group based on Internet of Things（IOT） is ***’s beneficial to improve the running stability of key equipment group and promote the emerging IOT technology application in equipment *** prediction model mainly includes the system of remote online sample acquisition and prediction method of running stability based on IOT,proposing running trend prediction algorithm faced to wind power rotating machinery,realizing of running trend feature extraction of equipment group,and constructing running stability trend prediction model faced to equipment *** running trend feature is used to predict the fault trend of wind power in order to ensure safe and stable running of wind power group.

关键词： wind power IOT feature extraction stability deterioration

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Performance analysis of various routing protocols (proactive and reactive) for random mobility models of Adhoc networks

Performance analysis of various routing protocols (proactive...

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International Conference on Recent Advances in Information technology (RAIT)

作者： Rashmi Rohankar Rinkoo Bhatia Vineet Shrivastava Deepak Kumar Sharma Department of Electronics & Communication Engineering Institute of Technology and Management Gwalior India Department of Instrumentation & Control Engineering College of Science and Engineering Jhansi India

With emerging trend in technology wireless networks allow user to travel from one location to another. Mobile Adhoc network (MANET) is one of the subareas of wireless network that dynamically form infrastructure less temporary network. MANET is a collection of intercommunicating mobile nodes forming a temporary network without any centralized administration. Due to the dynamic property of mobile nodes in MANET, they require good routing protocol. This paper analyzes the effect of random based mobility models on the performance of Proactive Routing Protocol (DSDV-Destination Sequence Distance Vector) and Reactive Routing Protocol (AODV- on Demand Distance Vector, DSR- Dynamic Source Routing). Performance analysis is done with respect to end-to-end delay, throughput and Packet delivery ratio for varying node densities.

关键词： Routing protocols Delay Mobile communication Analytical models Mobile ad hoc networks Mobile computing

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Object Tracking Method Based on SURF

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AASRI Procedia 2012年 3卷 351-356页

作者： Hu Shuo Wu Na Song Huajun Key Lab of Industrial Computer Control Engineering of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China Key Lab of Measurement Technology & Instrumentation of Hebei Province Institute of Electrical Engineering Yanshan University Qinhuangdao 066004 China Institute of Information and Control Engineering China University of Petroleum (East China) Dongying 257061 China

An object tracking algorithm based on SURF is presented in this paper. Interest points are detected by SURF detector in reference region which is located in the first frame manually. In the following sequences, the SURF feature points are extracted in a larger window which is selected as test region. In the matching stage, we calculate the Euclidean distance between the descriptor vectors of interest points in the test image and ones in the reference image. The proposed algorithm is implemented on an embedded platform with TI's DM6446 high performance processor. The experimental results show that our system implements a real-time tracking with robustness against appearance variations, scale change, and cluttered scenes.

关键词： Object track SURF descriptor Feature detection DM6446

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