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IEEE International Conference on Pervasive Computing and Communications (PerCom)

作者： Dian Zhang Yunhuai Liu Lionel M. Ni College of Software Shenzhen University China Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong China Shenzhen Institutes of Advanced Technology Chinese Academy and Sciences China Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiaotong University China

Transceiver-free object tracking is to trace a moving object without carrying any communication device in an environment where the environment is pre-deployed with some monitoring nodes. Among all the tracking technologies, RF-based technology is an emerging research field facing many challenges. Although we proposed the original idea, until now there is no method achieving scalability without sacrificing latency and accuracy. In this paper, we put forward a real-time tracking system RASS, which can achieve this goal and is promising in the applications like the safeguard system. Our basic idea is to divide the tracking field into different areas, with adjacent areas using different communication channels. So the interference among different areas can be prevented. For each area, three communicating nodes are deployed on the ceiling as a regular triangle to monitor this area. In each triangle area, we use a Support Vector Regression (SVR) model to locate the object. This model simulates the relationship between the signal dynamics caused by the object and the object position. It not only considers the ideal case of signal dynamics caused by the object, but also utilizes their irregular information. As a result it can reach the tracking accuracy to around 1m by just using three nodes in a triangle area with 4m in each side. The experiments show that the tracking latency of the proposed RASS system is bounded by only about 0.26s. Our system scales well to a large deployment field without sacrificing the latency and accuracy.

关键词： Accuracy Wireless communication Wireless sensor networks Interference Lead Synchronization Predictive models

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Reports of the AAAI 2010 fall symposia

Reports of the AAAI 2010 fall symposia

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作者： Azevedo, Roger Biswas, Gautam Bohus, Dan Carmichael, Ted Finlayson, Mark A. Hadzikadic, Mirsad Havasi, Catherine Horvitz, Eric Kanda, Takayuki Koyejo, Oluwasanmi Lawless, William F. Lenat, Doug Meneguzzi, Felipe Mutlu, Bilge Oh, Jean Pirrone, Roberto Raux, Antoine Sofge, Donald A. Sukthankar, Gita Van Durme, Benjamin Yorke-Smith, Neil Department of Educational and Counseling Psychology McGill University Canada Center for Intelligent Systems Vanderbilt University United States Microsoft Research Redmond United States Department of Software and Information Systems University of North Carolina Charlotte United States Complex Systems Institute United States Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology United States Media Lab. Massachusetts Institute of Technology United States ATR Intelligent Robotics and Communication Laboratories Kyoto Japan Department of Electrical and Computer Engineering University of Texas Austin United States Department of Mathematics Paine College Augusta GA United States Cycorp Austin TX United States Robotics Institute Carnegie Mellon University United States Department of Computer Sciences University of Wisconsin Madison United States University of Palermo Italy Honda Research Institute United States Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory Washington DC United States Department of Electrical Engineering and Computer Science University of Central Florida United States Department of Computer Science Johns Hopkins University United States American University of Beirut Lebanon SRI International's Artificial Intelligence Center United States

The Association for the Advancement of Artificial Intelligence (AAAI) presented the 2010 Fall Symposium Series on November 11-13, 2010. The eight symposia included Cognitive and Metacognitive Educational systems, Commonsense Knowledge, complex Adaptive systems: Resilience, Robustness, and Evolvability, Computational Models of Narrative, Dialog with Robots, Manifold Learning and Its Applications, Proactive Assistant Agents and Quantum Informatics for Cognitive, Social, and Semantic Processes. Cognitive and Metacognitive Educational systems aimed to provide a comprehensive definition of metacognitive educational systems that is inclusive of the theoretical, architectural, and educational aspects of this field. The AAAI Commonsense Knowledge Fall Symposium had the goal of bringing together the diverse elements of this community whose work benefits from or contributes to the representation of general knowledge about the world. One of the specific goals of Proactive symposium was to gather the researchers from various projects in assistant agents to share their wisdom in retrospect.

关键词： Semantics

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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) 2011年第PART 3期6677 LNCS卷

作者： Liu, Derong Zhang, Huaguang Polycarpou, Marios Alippi, Cesare He, Haibo Chinese Academy of Sciences Institute of Automation Key Laboratory of Complex Systems and Intelligence Science Beijing 100190 China Northeastern University College of Information Science and Engineering Shenyang Liaoing 110004 China University of Cyprus Dept. of Electrical and Computer Engineering 75 Kallipoleos Avenue 1678 Nicosia Cyprus Politecnico di Milano Dip. di Elettronica e Informazione Piazza L. da Vinci 32 20133 Milano Italy University of Rhode Island Dept. of Electrical Computer and Biomedical Engineering Kingston RI 02881 United States

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

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2011年第PART 1期6675 LNCS卷

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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) 2011年第PART 2期6676 LNCS卷

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Visualization of signalized intersections in driving simulator and validity of driving behaviors in virtual environments

Advances in Transportation Studies

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Advances in Transportation Studies 2011年第26期 17-28页

作者： Yan, X. Abdel-Aty, M. Guo, D. Radwan, E. MOE Key Laboratory for Transportation Complex Systems Theory and Technology Beijing Jiaotong University Beijing 100044 China Department of Civil and Environmental Engineering University of Central Florida Orlando FL 32816-2450 United States Computer Science Program College of Business Florida Gulf Coast University 10501 FGCU Boulevard South Fort Myers FL 33965-6565 United States Center for Advanced Transportation Systems Simulation University of Central Florida Orlando FL 32816-2450 United States

Visualization of highway traffic environments in virtual reality plays a key role on fidelity of simulation and validity of driving behaviors in driving simulator studies. This paper describes a procedure to replicate a signalized intersection with many complex features into a driving simulator's 3-D databases through building a graphical visual database, constructing a road motion database, and creating simulated traffic. The validity of the visualization was assessed via the comparison of the drivers' speeds in the simulator and the speed data at the real intersection. It was found that both speed data follow normal distributions and have equal means for each intersection approach;however, that the speeds measured in the driving simulator have a larger variability than those measured in the field. The users' subjective evaluation results indicated that 92% subjects could recognize the simulated intersection in the driving simulator experiment. Therefore, the strategy of geo-specific environment modeling would be useful for studying driving behaviors in virtual environments.

关键词： Visualization

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Mechanical decision for a class of integral inequalities

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Science China(Information Sciences) 2010年第9期53卷 1800-1815页

作者： YANG Lu1,3,YU WenSheng1,2* & YUAN RuYi2 1Shanghai key laboratory of Trustworthy Computing,software engineering Institute,East China Normal University,Shanghai 200062,China 2The key laboratory of complex systems and Intelligence Science,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China 3laboratory for Automated Reasoning and Programming,Chengdu Institute of computer Applications,Chinese Academy of Sciences,Chengdu 610041,China 1. Shanghai Key Laboratory of Trustworthy Computing Software Engineering Institute East China Normal University Shanghai 200062 China3. Laboratory for Automated Reasoning and Programming Chengdu Institute of Computer Applications Chinese Academy of Sciences Chengdu 610041 China2. The Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100190 China

A class of integral inequalities is transformed into homogeneous symmetric polynomial inequalities beyond Tarski model,where the number of elements of the polynomial,say n,is also a variable and the coefficients are functions of *** is closely associated with some open problems formulated recently by Yang et *** Timofte's dimension-decreasing method for symmetric polynomial inequalities,combined with the inequality-proving package BOTTEMA and a program of implementing the method known as successive difference substitution,we provide a procedure for deciding the nonnegativity of the corresponding polynomial inequality such that the original integral inequality is mechanically decidable;otherwise,a counterexample will be *** effectiveness of the algorithm is illustrated by some more examples.

关键词： integral inequality symmetric polynomial inequality Timofte’s dimension-decreasing method successive difference substitution mechanical decision inequality-proving package BOTTEMA

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Adaptive and impulsive cluster synchronization of a general complex dynamical network

Adaptive and impulsive cluster synchronization of a general ...

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2010 International Conference on Networking, Sensing and Control, ICNSC 2010

作者： Shi, Bingxiong Lu, Junan Lü, Jinhu Yu, Xinghuo College of Mathematics and Statistics State Key Lab. of Software Engineering Wuhan University Wuhan 430072 China Key Laboratory of Systems and Control Institute of Systems Science Chinese Academy of Sciences Beijing 100190 China School of Electrical and Computer Engineering RMIT University Melbourne 3000 Australia School of Electrical and Computer Engineering RMIT University Melbourne VIC 3001 Australia

ISBN: (纸本)9781424464531

Recently, cluster synchronization has attracted an increasing interest in various disciplines, includingmathematics, physics, and engineering sciences. This paper further investigates the cluster synchronization of a complex dynamical network by using adaptive and impulsive control techniques, respectively. Based on a complex dynamical network with two different clusters, several adaptive and impulsive cluster synchronization criteria are then proposed. It should be especially pointed out that the dynamics and its dimensions of the individual dynamical systems are different in the two different clusters. Also, some numerical simulations are given to verify the effectiveness of the above theoretical results. ©2010 IEEE.

关键词： Dynamical systems

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Output synchronization of multiple mobile agents

Output synchronization of multiple mobile agents

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2010 International Conference on Networking, Sensing and Control, ICNSC 2010

作者： Tan, Fuxiao Liu, Derong Guan, Xinping School of Computer and Information Sciences Fuyang Teachers College Fuyang Anhui 236041 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100190 China College of Electrical Engineering Yanshan University Qinhuangdao Hebei 066004 China

ISBN: (纸本)9781424464531

In real-life, many practical applications involve agents that are nonlinear and nonholonomic. This paper investigates output synchronization of multiple mobile agents in a plane. The output synchronization of mobile agent's aims are two aspects: making the speed of each agent synchronized and tracking desired trajectories in a group. First, each agent dynamics is described by an affine control system and the communication topology among the agents is represented by a digraph. Using adjacent information and incidence matrix, a decentralized control law is acquired, which is composed of alignment control and cohesion control. Second, the stability of the group is proved by the decentralized control law and the synchronization control objective is realized. Finally, ten mobile agents are simulated to show the effectiveness of the present control law. ©2010 IEEE.

关键词： Mobile agents

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Security alert management system for Internet Data Center based on ISO/IEC 27001 ontology

Security alert management system for Internet Data Center ba...

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International Workshop on Cloud Services-Platform Accelerating E-Business

作者： Tsang, Terry M.F. Yeung, Thomas M.W. Chiu, Dickson K.W. Hu, Haiyang Zhuang, Yi Hu, Hua Department of Computer Science Hong Kong Baptist University Kowloon Tong Hong Kong Dickson Computer Systems 7 Victory Avenue Homantin Hong Kong Hangzhou Dianzi University Hangzhou China College of Computer Science and Information Engineering Zhejiang Gongshang University China State Key Laboratory for Novel Software Technology Nanjing University China

ISBN: (纸本)9780769542270

Internet Data Centers (IDC) emerge as a major network service platform to converge Internet related services and applications to one location, managing servers, networks, together with valuable and sensitive data of many enterprises. Therefore, an appropriate security approach is essential. Intrusion Detection systems (IDS) are often deployed in IDC as a security measure to detect real-time intrusions and alert system administrators to take proper handling actions. However, a large number of low-level alerts lacking of classification make their management difficult. To tackle this problem, we propose a Security Alert Management System (SAMS) in which alerts generated by each IDS undergo alert aggregation. By incorporating ISO/IEC 27001 requirements into the ontology, our system classifies and aggregates alerts from multiple sources, providing a consolidated view of security incidents which are compliant with the ISO/IEC 27001 standard. We further facilitate effective handling of security alerts with different urgency classifications via an Alert Management System (AMS). © 2010 IEEE.

关键词： Ontology

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