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UKACC International Conference on Control (CONTROL)

作者： Jian Sun Jie Chen G.P. Liu School of Automation Key Laboratory of Complex Systems Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing China CTGT Center Harbin Institute of Technology Harbin China Faculty of Advanced Technology University of Glamorgan Pontypridd UK

This paper is concerned with the problem of stability of systems with time-varying delay in a given interval. A novel Lyapunov-Krasovskii functional is proposed to obtain new stability conditions. Some triple integral terms are introduced in the Lyapunov-Krasovskii functional and the information on the lower bound on the delay are sufficiently used. New delay-dependent stability criteria are derived using integral inequalities and formulated in terms of linear matrix inequality (LMI). Comparing numerical examples show that the proposed criteria yield a larger upper bound on the delay for a given lower bound on the delay than existing results.

关键词： Delay Stability criteria Time varying systems Linear matrix inequalities Numerical stability Linear systems

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The hot topics evaluation and key issues in online news about emergency events

The hot topics evaluation and key issues in online news abou...

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World Congress on intelligent Control and Automation (WCICA)

作者： Liping Chen Junping Du Katsunori Shimohara Maoqiang Song Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia School of Computer Science Beijing University of Posts and Telecommunications Beijing China Department of Information Systems Design Doshisha University Kyotanabe Kyoto Japan Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Ministry of Education Beijing University of Posts and Telecommunications Beijing China

This paper concentrates on the evaluation system of hot topics in the online news about the emergency events. First, the overall technology framework of the system was established and description was formulated on the key issues need to be resolved prior to the evaluation of the hot topics. Focusing on the vector representation of the news documents and clustering algorithm of the news topics, a modified TF-IDF text representation model was formulated and an improved selection method of initial topic clustering center was established. The evaluation model of the hot topics was then established to evaluate the heat value of the clustered topics based on extracting websites feature parameters, such as the time properties of the news reports, reporting properties, and user attention. Finally, the paper takes news of 2011 Japan Earthquake as data source for algorism and model evaluation. The results showed that the identification and evaluation system of hot topics in online news about the emergency events was valid, and the evaluation result of hot topics by the systems agreed with the expected results. It lays a foundation for the subsequent studying about the tracking and evolution of the hot topics.

关键词： Vectors Heating Feature extraction Media Educational institutions Earthquakes Time frequency analysis

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Consensus control of linear multi-agent systems with distributed adaptive protocols

Consensus control of linear multi-agent systems with distrib...

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American Control Conference (ACC)

作者： Zhongkui Li Xiangdong Liu Wei Ren Lihua Xie Key laboratory for Intelligent Control & Decision of Complex Systems Beijing Institute of Technology Beijing P. R. China Department of Electrical Engineering University of California Riverside CA USA School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)9781457710957

This paper considers the distributed consensus problem of multi-agent systems with general continuous-time linear time-invariant dynamics. Based on the relative output information of neighboring agents, two distributed adaptive dynamic consensus protocols are proposed, namely, the edge-based adaptive protocol which assigns a time-varying coupling weight to each edge in the communication graph and the node-based adaptive protocol which uses a time-varying coupling weight for each node. These two adaptive protocols are designed to ensure that consensus is reached in a fully distributed fashion for any undirected connected communication graphs without using any global information. A sufficient condition for the existence of these adaptive protocols is that each agent is stabilizable and detectable. The case with switching communication graphs is also studied.

关键词： Protocols Eigenvalues and eigenfunctions Couplings Switches Linear matrix inequalities Laplace equations Lyapunov methods

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A new B2B platform based on cloud computing

A new B2B platform based on cloud computing

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Gang Xiong Jiachen Hou Xisong Dong Timo R. Nyberg State Key Laboratory of Management and Control for Complex Systems Institute of Automation Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Dongguan China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Dongguan China BIT Research Centre Aalto University Aalto Finland

With the fast development of Internet and its data scale, B2B (Business to Business), whose speed and high availability advantage is based on Internet, is eroding more and more market share of traditional business. In recent years, the new data processing technologies, such as cloud computing, assure the enhancement of computer's computing capacity; it has become possible for researchers to process and analyze the massive business data, including large scale customer data, and large scale commodity information. A new B2B platform frame, based on cloud computing with less running time and better response efficiency, is proposed here to promote transaction handle efficiency. By adoption of complex network theory and cloud computing technology, the new platform has been evaluated to decrease transaction handle time, and make more benefits.

关键词： Cloud computing Availability Visualization Helium Java

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2012年 7366 LNAI卷 VI页

作者： Zhang, Huaguang Hussain, Amir Liu, Derong Wang, Zhanshan Northeastern University College of Information Science and Engineering Shenyang 110004 China University of Stirling Dept. of Computing Science and Mathematics Stirling FK9 4LA United Kingdom Institute of Automation Chinese Academy of Sciences State Key Laboratory of Managment and Control for Complex Systems Beijing 100190 China

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Editorial

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International Journal on Artificial Intelligence Tools 2012年第3期21卷

作者： Cui, Zhihua Shi, Zhongzhi Alex, Rajan Complex System and Computational Intelligence Laboratory School of Computer Science and Technology Taiyuan University of Science and Technology Shanxi 030024 China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences No. 6 Kexueyuan South Road Zhongguancun Haidian District Beijing 100190 China Department of Engineering and Computer Science West Texas AandM University Canyon TX 79015 United States

Swarm intelligence is an umbrella for amount optimization algorithms. This discipline deals with natural and artificial systems composed of many individuals that coordinate their activities using decentralized control and self-organization. In general, multi-agent systems that use some swarm intelligence are said to be swarm intelligent systems. They are mostly used as search engines and optimization tools. The goal of this special issue has been to offer a wide spectrum of sample works throughout the world about innovative methodologies of swarm intelligence. The issue should be useful both for beginners and experienced researchers in the field of computational intelligence. © 2012 World Scientific Publishing Company.

关键词： Swarm intelligence

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Fitting a Functional Structural Plant Model based on Global Sensitivity Analysis

Fitting a Functional Structural Plant Model based on Global ...

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IEEE International Conference on Automation Science and Engineering

作者： Yubin LIN Mengzhen KANG Jing HUA National Key Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences

ISBN: (纸本)9781467304290

Calibration of a functional structural plant model is a challenging task because of the complexity of model structure. Parameter estimation through gradient-based optimization technique was highly dependent on initial parameter values. This motivated the use of global sensitivity analysis technique to choose parameter subset in fitting the data sequence. Global sensitivity indices were computed using the source sink ratio as the output of interest, which regulates all organ growth. By fitting on chrysanthemum data from nine sampling dates, it is shown that sensitivity analysts method helps to identify the influential parameters for a given sampling date. As a result, fitting process is less dependent on the initial parameter values. Current work provides a new method of calibrating a plant growth model with multiple outputs.

关键词： Sensitivity analysis plant models organ growth MACHINE SHOP PRACTICE

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Research on Students' Mental Crisis Monitoring and Intervention Mechanism Based on Online Social Network

Research on Students' Mental Crisis Monitoring and Intervent...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Suna Li Xia Shao feifei Zhao Tianjin Professional University Tanjin China Tianjin Polytechnic University Tian Jin China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Dongguan Research Institute of CAS lA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

Internet as the fertile ground of free speech, everyone can express their emotions, cognition and views of things via the internet, especially in the era of Web2.0, the occurrence of blog which provides a wider space for personal speech. Internet provides a broad platform for contemporary college students to express thought and emotion, at the same time it provides a channel for education workers to understand students' thought and mental. Through real-time monitoring information on school area network, we can get real-time status, mood and some dynamic data which can portray characteristics of emotion of the concerned entity; also we can abstract the characterization of psychological crisis information, and use this feature to do data mining on these data. In this way we can find group of students which have tendency of psychological CriSIS, and use corresponding psychological crisis intervention online and offline methods to ease students' psychological crisis and to prevent tragic events in timely.

关键词： Psychology Educational institutions Monitoring Bellows

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Mobile sensor network node deployment via Central Voronoi Tessellation

Mobile sensor network node deployment via Central Voronoi Te...

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International Conference on intelligent Control and Information Processing

作者： Xiong, R. Bai, Y.Q. Sun, W. Liu, X. Key Laboratory of Complex Systems Intelligent Control and Decision School of Automation Ministry of Education Beijing 100081 China

ISBN: (纸本)9781457708145

The present work focuses on the node deployment algorithm of Wireless Sensor Networks. The Central Voronoi Tessellation algorithm is employed to optimize the node position. The energy consumption of the whole sensor network will be minimized by using this algorithm. Simulation of the proposed algorithm shows the effectiveness of minimizing the energy consumption. © 2011 IEEE.

关键词： Energy utilization

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A multi-target tracking approach combined with occlusion segmentation

A multi-target tracking approach combined with occlusion seg...

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4th International Workshop on Advanced Computational Intelligence, IWACI 2011

作者： Ding, Huan Zhang, Wensheng State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781612843735

Multiple-target tracking in complex scenes is one of the most complicated problems in computer vision. Handling the occlusion between objects is the key issue in multiple target tracking. This paper presents an occlusion segmentation-based method to track multiple people in complex situations which are captured by static monocular cameras. In the proposed method, we calculate the probabilistic histogram of each object's optical flow vector, then use this motion statistic information along with the color and appearance information to construct a new expression of pixel distance. Finally, a stepwise classification and K-means clustering method are taken advantages of to accomplish occlusion segmentation. Object tracking is handled by a particle filter-based tracking framework, and a probabilistic appearance model is used to find the best particle. Experiments are conducted using public challenging data set PETS 2009. Results show that our approach can improve the performance of the existing tracking approach and handle dynamic occlusions better. © 2011 IEEE.

关键词： Clutter (information theory)

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