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2016 IEEE International Conference on Progress in Informatics and Computing

作者： Huahui Lyu Ping Li Ruihong Yan Anum Masood Bin Sheng Yaoying Luo Information Department China Southern Power Grid Department of Mathematics and Information Technology The Education University of Hong Kong Department of Computer Science and Engineering Shanghai Jiao Tong University The State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Department of electrical engineering and automation Shanghai Jiao Tong University

Cloud architectures have become increasing common in the IT industry and academic circle. However, most cloud architectures only focus on availability but ignore economic effectiveness. Based on Eucalyptus, this paper proposes an effective way to balance high availability and economic profits. We designed a forecast mechanism using three new modules: the forecast module, adjustment module, and collection module. The forecast module uses a set of machine learning techniques to improve forecast accuracy. We carried out a comparative experiment and the experimental results prove the efficiency of the proposed forecast mechanism.

关键词： forecast mechanism virtual machine cloud architecture machine learning

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A Switching Approach to Designing Finite-Time Synchronization Controllers of Coupled Neural Networks

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IEEE Transactions on Neural Networks and Learning Systems 2016年第2期27卷 471-482页

作者： Liu, Xiaoyang Su, Housheng Chen, Michael Z. Q. School of Computer Science and Technology Jiangsu Normal University Xuzhou221116 China Image Processing and Intelligent Control Key Laboratory School of Automation Huazhong University of Science and Technology Wuhan430074 China Department of Mechanical Engineering University of Hong Kong Hong Kong Hong Kong

This paper is concerned with the finite-Time synchronization issue of nonlinear coupled neural networks by designing a new switching pinning controller. For the fixed network topology and control strength, the newly d... 详细信息

关键词： Network topology

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Algorithms and Experiments for Multi-vehicle Systems in Diverse Motion Patterns 34

Algorithms and Experiments for Multi-vehicle Systems in Dive...

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第三十四届中国控制会议

作者： ZHANG Hai-Tao CHEN Zhiyong FAN Ming-Can State Key Laboratory of Digital Manufacturing Equipment and Technology School of AutomationHuazhong University of Science and Technology School of Electrical Engineering and Computer Science University of Newcastle

ISBN: (纸本)9781467374439

In this paper, a decentralized control algorithm is proposed for a group of vehicles to form diverse collective motion patterns. Without the guidance of a global beacon or a global reference framework, the desired collective behavior occurs provided that the associated network of the multi-vehicle system is jointly-connected. The effectiveness of the approach is verified through theoretical analysis, numerical simulation, and experimental results.

关键词： Collaborative control,Multi-agents,Collective motion,Torus

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Density peaks clustering based on multiple distance measures for manufacturing process

Density peaks clustering based on multiple distance measures...

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International Conference on Information and automation (ICIA)

作者： Shuai Li Shiying Gao Xiaofeng Zhou Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China Chinese Academy of Sciences Key Laboratory of Network Control System Shenyang China College of Computer Science and Engineering Northeastern University Shenyang China

ISBN: (纸本)9781509041039

Data analysis and processing of manufacturing process is significant to ensure the stable production safety, maintain quality stabilization, and optimize production profit. Practical manufacturing process often has complex characteristics, such as multimode, nonlinearity, etc. Mode division can divide manufacturing process into multiple modes and is useful for subsequent process monitoring and scheduling optimizing. In this paper, density peaks clustering (DPC) based on multiple distance measures is used for mode division in manufacturing process. Multiple distance measures for computing the local density and minimum distance between the point and any other point with higher density in DPC are compared and analyzed. To illustrate the effectiveness of the clustering method for mode division in manufacturing process, experiments are developed based on penicillin fermentation process and practical foods industrial production process. Experimental results verify the feasibility and efficiency of the clustering method for mode division in manufacturing process.

关键词： Manufacturing processes Density measurement Level measurement Clustering methods automation Monitoring

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Distance learning by treating negative samples differently and exploiting impostors with symmetric triplet constraint for person re-identification

Distance learning by treating negative samples differently a...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Xiaoke Zhu Xiao-Yuan Jing Fei Wu Weishi Zheng Ruimin Hu Chunxia Xiao Chao Liang School of Computer and Information Engineering Henan University State Key Laboratory of Software Engineering Wuhan University College of Automation Nanjing University of Posts and Telecommunications School of Data and Computer Science Sun Yat-sen University National Engineering Research Center for Multimedia Software Computer School of Wuhan Univ. Collaborative Innovation Center of Geospatial Technology China

ISBN: (纸本)9781467372596

Distance learning (DL) is an effective technique for person reidentification (PR-ID). DL based methods learn the distance metric by exploiting the discriminative information contained in samples. In PR-ID, different types of negative samples own different amounts of discriminative information, and impostor samples usually own more than other well separable negative samples (WSN-samples). Therefore, how to make full use of the different discriminative information conveyed by all negative samples in the DL process is a critical issue to be investigated. In this paper, we propose a novel DL approach for PR-ID. Specifically, for each target sample, we divide its negative samples into impostors and WSN-samples. Then we learn the distance metric by utilizing impostors and WSN-samples differently. For impostors, we design a symmetric triplet constraint, which requires the impostor to be far away from both samples of its corresponding positive sample pair simultaneously; for WSN-samples, we require them to keep their favorable separability. Experimental results on three benchmark datasets demonstrate the effectiveness and efficiency of our approach.

关键词： Wireless sensor networks Measurement Thyristors computer aided instruction Cameras Linear programming computers

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Multi-player pursuit–evasion games with one superior evader

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Automatica 2016年 71卷 24-32页

作者： Jie Chen Wenzhong Zha Zhihong Peng Dongbing Gu School of Automation Beijing Institute of Technology Beijing 100081 China State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081 China School of Computer Science and Electronic Engineering University of Essex Colchester CO4 3SQ UK

Inspired by the hunting and foraging behaviors of group predators, this paper addresses a class of multi-player pursuit–evasion games with one superior evader, who moves faster than the pursuers. We are concerned with the conditions under which the pursuers can capture the evader, involving the minimum number and initial spatial distribution required as well as the cooperative strategies of the pursuers. We present some necessary or sufficient conditions to regularize the encirclement formed by the pursuers to the evader. Then we provide a cooperative scheme for the pursuers to maintain and shrink the encirclement until the evader is captured. Finally, we give some examples to illustrate the theoretical results.

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High-PSRR High-Order Curvature-Compensated CMOS Bandgap Voltage Reference

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Journal of Harbin Institute of Technology(New Series) 2015年第5期22卷 116-124页

作者： Qianneng Zhou Yunsong Li Jinzhao Lin Hongjuan Li Yu Pang Wei Luo Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology Chongqing University of Posts and Telecommunications College of Computer Science and Technology Chongqing University of Posts and Telecommunications School of Electronic Information and Automation Sichuan University of Science and Engineering

A high-PSRR high-order curvature-compensated CMOS bandgap voltage reference( BGR),which has the performances of high power supply rejection ratio( PSRR) and low temperature coefficient,is designed in SMIC 0. 18 μm CMOS process. Compared to the conventional curvature-compensated BGR which adopted a piecewise-linear current,the temperature characterize of the proposed BGR is effectively improved by adopting two kinds of current including a piecewise-linear current and a current proportional 1. 5 party to the absolute temperature T. By adopting a low dropout( LDO) regulator whose output voltage is the operating supply voltage of the proposed BGR core circuit instead of power supply voltage VDD,the proposed BGR with LDO regulator achieves a well PSRR performance than the BGR without LDO regulator. Simulation results show that the proposed BGR with LDO regulator achieves a temperature coefficient of 2. 1 × 10-6/ ℃ with a 1. 8 V power supply voltage and a line regulation of 4. 9 μV / V at 27 ℃. The proposed BGR with LDO regulator at 10 Hz,100 Hz,1 k Hz,10 k Hz and 100 k Hz have the PSRR of- 106. 388,- 106. 388,- 106. 38,- 105. 93 and-88. 67 d B respectively.

关键词： bandgap voltage reference low dropout regulator temperature coefficient power supply rejection ratio

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A Survey of Bitmap Index Compression Algorithms for Big Data

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Tsinghua science and Technology 2015年第1期20卷 100-115页

作者： Zhen Chen Yuhao Wen Junwei Cao Wenxun Zheng Jiahui Chang Yinjun Wu Ge Ma Mourad Hakmaoui Guodong Peng the Research Institute of Information Technology Tsinghua University Tsinghua National Laboratory for Information Science and Technology (TNList) Tsinghua University Department of Electronic Engineering Tsinghua University Department of Physics Tsinghua University Department of Aerospace Engineering Tsinghua University Department of Automation Tsinghua University Department of Computer Science and Technology Tsinghua University Department of Mechanical Engineering Tsinghua University

With the growing popularity of Internet applications and the widespread use of mobile Internet, Internet traffic has maintained rapid growth over the past two decades. Internet Traffic Archival Systems（ITAS） for packets or flow records have become more and more widely used in network monitoring, network troubleshooting, and user behavior and experience analysis. Among the three key technologies in ITAS, we focus on bitmap index compression algorithm and give a detailed survey in this paper. The current state-of-the-art bitmap index encoding schemes include： BBC, WAH, PLWAH, EWAH, PWAH, CONCISE, COMPAX, VLC, DF-WAH, and VAL-WAH. Based on differences in segmentation, chunking, merge compress, and Near Identical（NI） features, we provide a thorough categorization of the state-of-the-art bitmap index compression algorithms. We also propose some new bitmap index encoding algorithms, such as SECOMPAX, ICX, MASC, and PLWAH＋, and present the state diagrams for their encoding algorithms. We then evaluate their CPU and GPU implementations with a real Internet trace from CAIDA. Finally, we summarize and discuss the future direction of bitmap index compression algorithms. Beyond the application in network security and network forensic, bitmap index compression with faster bitwise-logical operations and reduced search space is widely used in analysis in genome data, geographical information system, graph databases, image retrieval, Internet of things, etc. It is expected that bitmap index compression will thrive and be prosperous again in Big Data era since 1980s.

关键词： Internet traffic big data traffic archival network security bitmap index bitmap compression algorithm

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Corrigendum to “Road detection algorithm for Autonomous Navigation Systems based on dark channel prior and vanishing point in complex road scenes” [Robot. Auton. Syst. 85 (2016) 1–11]

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Robotics and Autonomous Systems 2017年 88卷 202-202页

作者： Yong Li Weili Ding Xuguang Zhang Zhaojie Ju Laboratory of Pattern Recognition and Intelligent Systems Key Laboratory of Industrial Computer Control Engineering of Hebei Province Department of Automation Institute of Electrical Engineering Yanshan University Qinghuangdao Hebei 066004 China College of Information Science and Engineering Northeastern University Shenyang Liaoning 110004 China School of Computing University of Portsmouth PO1 3HE UK

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fuzzy PID control synthesis for Takagi–Sugeno fuzzy systems

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IET Control Theory & Applications 2016年第6期10卷 607-616页

作者： Kairui Cao Xiaozhi Gao Hak-Keung Lam Athanasios Vasilakos National Key Laboratory of Tunable Laser Technology Harbin Institute of Technology Harbin People's Republic of China Department of Electrical Engineering and Automation Aalto University School of Electrical Engineering Aalto Finland Department of Informatics King's College London London UK Computer Science Department Kuwait University Kuwait City Kuwait

This study proposes a kind of H ∞ fuzzy proportional–integral–derivative (PID) control synthesis method for Takagi–Sugeno (T–S) fuzzy systems. The basic idea of the presented method is to transform the fuzzy PID controller design problem into that of the fuzzy static output feedback (SOF) controller design. On the basis of an iterative linear matrix inequality algorithm, the fuzzy SOF control laws can be obtained. After that, the fuzzy PID controller is recovered from the fuzzy SOF controller. Simulation examples are given to show the effectiveness of the proposed method.

关键词： H∞ control three-term control control system synthesis fuzzy systems feedback linear matrix inequalities iterative methods fuzzy control fuzzy SOF control laws iterative linear matrix inequality algorithm static output feedback fuzzy SOF controller design T-S fuzzy systems proportional-integral-derivative control Takagi-Sugeno fuzzy systems H∞ fuzzy PID control synthesis

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