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ICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009

作者： Sakaki, Taisuke Kiyota, Takanori Kino, Hitoshi Sagara, Shinichi Oguro, Ryuichi Moromugi, Shunji Imado, Keiji Ikeuchi, Hidetaka Fukushima, Manabu Ikeda, Takeshi Aoki, Kanta Ushimi, Nobuhiro Department of Engineering Kyushu Sangyo University Fukuoka Japan Department of Mechanical Systems Engineering University of Kitakyushu Kitakyushu Japan Department of Intelligent Mechanical Engineering Fukuoka Institute Technology Fukuoka Japan Department of Control Engineering Kyushu Institute of Technology Kitakyushu Japan Department of Computer Science and System Engineering Kyushu Institute of Technology Iizuka Japan Department of Mechanical Systems Engineering Nagasaki University Nagasaki Japan Department of Architecture and Mechatronics Oita University Oita Japan Department of Media Technology Nippon Bunri University Oita Japan Department of Mechanical Engineering Kyushu University Fukuoka Japan Department of Art Kyushu Sangyo University Fukuoka Japan

ISBN: (纸本)9784907764296

We describe a unique competition based on the novel concept of robotics and mechatronics products that included evaluation of the products' engineering function and interface design. Seventy-seven students of eleven teams from seven universities in the Kyushu area participated in the competition, whose subject was " Health care, life supporting and communication or other technical aids for the elderly or disabled." Many of the plans presented ideas that balanced function and design, showing the results of collaboration among students studying engineering and students studying product design. © 2009 SICE.

关键词： robotics

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Vehicle tracking based on co-learning particle filter

Vehicle tracking based on co-learning particle filter

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2009 IEEE/RSJ International Conference on intelligent Robots and systems

作者： Weilong Ye Huaping Liu Fuchun Sun Meng Gao Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and Systems TNLIST Tsinghua University Beijing China Shijiazhuang Railway Institute Hefei China

In this paper, we propose a co-learning particle filter approach for vehicle tracking, which is very important for intelligent vehicle. The proposal distribution of the particle filter is a combination of an extra support vector machine (SVM) detector and the motion prior. Previous works focusing on how to online update the detector or the observation likelihood using the tracking results. These approaches belong to ¿self-learning¿ fashion and easily tend to drift. The major difference between the proposed approach and previous works is that the SVM detector and the likelihood function can be mutually updated in a co-learning manner. By adopting the co-learning technology, the unlabelled samples which are generated during tracking are utilized to progressively modify the SVM detector and update the observation likelihood; therefore the resulting tracker is more robust and effectively avoids the drift problem. Finally, the performance of the proposed approach is evaluated using extensive real visual tracking examples.

关键词： Particle tracking Particle filters Radar tracking Detectors Semisupervised learning intelligent vehicles Support vector machines intelligent robots Sun Proposals

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Metal-filled carbon nanotubes for nanofluidic systems: Modes of melting and evaporation

Metal-filled carbon nanotubes for nanofluidic systems: Modes...

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2009 IEEE/RSJ International Conference on intelligent Robots and systems

作者： Lixin Dong Xinyong Tao Li Zhang Xiaobin Zhang Bradley J. Nelson Department of Electrical & Computer Engineering Michigan State University East Lansing MI USA ETH Zurich Institute of Robotics and Intelligent Systems Zurich Switzerland College of Chemical Engineering and Materials Science Zhejiang University of Technology Hangzhou China Department of Materials Science and Engineering University of Zhejiang Hangzhou China

Modes of melting and evaporation of metal at attogram level from individual carbon nanotubes (CNTs) are investigated experimentally using nanorobotic manipulation inside a transmission electron microscope. We compared the melting and evaporation induced by electric current, Joule heating, charge, and ionization. Experiments show that the most effective method is by positively ionizing the encapsulated metal, therefore, an electrostatic field can be used to guide the flow. Applications and potential applications of mass transport and deposition in nanofluidic systems have been presented including self-welding, actuation, and storage.

关键词： Carbon nanotubes Copper Transmission electron microscopy Current Materials science and technology Probes intelligent robots Resistance heating Thermal conductivity Ionization

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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) 2010年 6472 LNAI卷 IV-V页

作者： Ando, Noriaki Balakirsky, Stephen Hemker, Thomas Reggiani, Monica Von Stryk, Oskar AIST Tsukuba Central 2 RT-Synthesis R.G ISRI AIST TsukubaIbaraki305-8568 Japan National Institute of Standards and Technology Intelligent Systems Division 100 Bureau Drive GaithersburgMD20899-8230 United States Technische Universität Darmstadt Department of Computer Science Hochschulstr. 10 Darmstadt64289 Germany Stradella San Nicola 3 Vicenza36100 Italy

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Efficient Grouping of Fail Chips for Volume Yield Diagnostics

Efficient Grouping of Fail Chips for Volume Yield Diagnostic...

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International Conference on VLSI Design

作者： Lavanya Jagan Ratan Deep Singh V. Kamakoti Ananta K. Majhi Reconfigurable & Intelligent Systems Engineering Group Department of Computer Science and Engineering Indian Institute of Technology Chennai India NXP Semiconductors Corporate Innovation and Technology Research Eindhoven Netherlands

Volume Yield Diagnostics (VYD) is crucial to diagnose critical systematic yield issues from the reports obtained by testing thousands of chips. This paper presents an efficient clustering technique for VYD that has be... 详细信息

关键词： Runtime Design engineering Electronics industry Inspection Very large scale integration intelligent systems systems engineering and theory computer science Technological innovation Semiconductor device testing

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An intelligent Assistant for Power Plants Based on Factored MDPs

An Intelligent Assistant for Power Plants Based on Factored ...

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International Conference on intelligent systems Applications to Power systems (ISAP)

作者： Alberto Reyes Matthijs T. J. Spaan L. Enrique Sucar Instrumentation and Control Department Instituto de Investigaciones Eléctricas of Mexico Cuernavaca Mexico Institute for Systems and Robotics Instituto Superior Técnico Lisboa Portugal Computer Science Department INAOE Puebla Mexico

Making good operation decisions during abnormal power plant conditions represents in many cases the possibility to avoid a unit trip or having economical losses. This paper introduces AsistO, an intelligent assistant for the decision support based on decision theoretic planning techniques. It provides power plant operators with useful recommendations to (i) maintain a plant running under safe conditions, or (ii) deal with process transients when an unexpected event occurs. We present the formalism of Markov decision processes as the core of the intelligent assistant which uses a factored representation of plant states. We also show a very intutive algorithm to approximate decision models based on training data collected through random exploration routines in a simulated environment. We have tested our system in the steam generation system of a combined power plant to deal with load disturbances.

关键词： Power generation Power system modeling intelligent robots Control systems System testing Knowledge based systems Knowledge acquisition Knowledge management Traffic control Management training

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Crawling Locomotion of Modular Climbing Caterpillar Robot with Changing Kinematic Chain

Crawling Locomotion of Modular Climbing Caterpillar Robot wi...

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2009 IEEE/RSJ International Conference on intelligent Robots and systems

作者： W. Wang H. X. Zhang J. W. Zhang Department of Informatics University of Hamburg Germany Robotics Institute School of Mechanical Engineering and Automation Beijing Aeronautics and Astronautics University Beijing China Institute of Technical Aspects of Multimodal Systems Department of Computer Science University of Hamburg Hamburg Germany

Based on the modular concept, this paper presents two caterpillar robot prototypes which are inspired by two typical caterpillars: inchworm and pine caterpillar. The inchworm robot prototype features simplest kinematics and open chain architecture. Due to the fact that there is only one attachment module supporting the inchworm robot during crawling, we apply an unsymmetrical phase method (UPM) to realize a stable crawling gait for it. A pine caterpillar robot is derived from combining two inchworm robots together. The crawling gait of it features a repetitive changing chain: open-closed-open. Besides the UPM in open chain states, a four-links kinematic model is applied to control the corresponding joints to transfer the crawling wave along the robot body in the closed chain state. These two prototypes are all constructed and, and their crawling locomotion abilities have been tested on vertical glasses respectively.

关键词： Kinematics Mobile robots Climbing robots intelligent robots Prototypes Joining processes USA Councils Testing Glass Gravity

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A Structural Health Monitoring System Using Wireless Sensor Network

A Structural Health Monitoring System Using Wireless Sensor ...

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International Conference on Wireless Communications, Networking and Mobile Computing (WiCom)

作者： Jianjun Niu Zhidong Deng Fengguang Zhou Zongsheng Cao Zhanqing Liu Fangzhou Zhu State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory of Information Science and Technology Department of Computer Science and Technology Tsinghua University China Beijing Special Engineering Design and Research Institute China

Wireless sensor network (WSN) based structural health monitoring (SHM) system attracts increasing interest in recent years. However, the restricted bandwidth, memory and energy pose great challenges to the application of SHM in large scale building. Supported by a real engineering project, a WSN based prototype of SHM system is designed in this paper. Acceleration data, synchronously sampled in each sensor node, are transported to a data processing computer through a base station. In order to achieve a high network throughput, a time division multiple access (TDMA) approach is proposed to reduce the packet collision and energy consumption. 17 sensor nodes, one base station and a processing computer are distributed to validate the prototype system. Test results present that the approach, we proposed, can reduce the signal collision and increase data throughput. The prototype is feasible to the SHM project of a large scale building.

关键词： Monitoring Wireless sensor networks Prototypes Large-scale systems Base stations Throughput Time division multiple access Bandwidth Application software Buildings

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Improved Shape Context algorithm for online fast recognition -an application in pedestrian detection from a moving vehicle

Improved Shape Context algorithm for online fast recognition...

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IEEE Symposium on intelligent Vehicle

作者： Min Wang Jian-Qing Wang Hong Qiao Xian-Bin Cao Institute of Automation Chinese Academy and Sciences Beijing China School of Computer Science University of Manchester Institute of Science and Technology Manchester UK School of Informatics University of Manchester Institute of Science and Technology Manchester UK Laboratory of Complex Systems and Intelligent Science Institute of Automation Chinese Academy and Sciences Beijing China Department of Computer Science and Technology University of Science and Technology Hefei China

ISBN: (纸本)9781424435036

Shape context algorithm is a recently proposed good method for object recognition. It is robust under small geometrical distortions and occlusion, invariant under scaling, translation, and change of illumination. However, because of its computational complexity, this algorithm is not suitable for online recognition. In this paper, we proposed an improved shape context algorithm which introduces an optimal hierarchical structure and gives new reference points selection criteria. Compared with the original shape context algorithm, the improved algorithm keeps the recognition accuracy and reduces the computational cost greatly. The good experimental results reveal that, this new algorithm can be applied to the pedestrian detection system online, which is an important research topic in intelligent transportation.

关键词： Shape Vehicle detection Vehicles Change detection algorithms intelligent transportation systems Object recognition Robustness Lighting Computational complexity Computational efficiency

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Fractional order iterative learning control

Fractional order iterative learning control

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SICE Annual Conference

作者： Yan Li YangQuan Chen Hyo-Sung Ahn Department of Electrical and Computer Engineering Center of Self-Organizing and Intelligent Systems (CSOIS) Utah State University Logan UT USA Department of Mechatronics Gwangju Institute of Science and Technology Gwangju South Korea

In this paper, we first discuss in time domain the convergence of the iterative process for fractional order linear systems. Fractional order iterative learning updating schemes are considered. Moreover, fractional order iterative learning control for time-varying systems in convolution form are analyzed, where generalized fractional order time varying system is proposed. Finally, one simulation result is provided for illustration.

关键词： Control systems Fractional calculus Time varying systems Time invariant systems Iterative algorithms Convergence Time domain analysis Integral equations intelligent systems Mechatronics

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