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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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Iterative learning control for multi-agent formation

Iterative learning control for multi-agent formation

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SICE Annual Conference

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

This paper employs iterative learning control scheme to generate a sequence of control signals for multi-agent formation control. It is assumed that individual agent of a group of multi-agents is governed by nonlinear dynamics, which could be known in part; in such case, we would like to find control sequences of individual agents such that they form a desired formation with respect to other agents, from initial starting points to final stop points. That is, we would like to ensure that the multi-agents form relative desired states with respect to other agents along the desired trajectory. The algorithm established in this paper can be used to find a control sequence of multi-agent systems for keeping relative formation, in off-line tuning manner. The utility of the algorithm established in this paper can be therefore used for finding optimal control strategy of nonlinear dynamic systems with partially available system information.

关键词： Control systems Optimal control Iterative algorithms Signal generators Nonlinear dynamical systems Convergence Mechatronics intelligent systems Multiagent systems Robots

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High stiffness pneumatic actuating scheme and improved position control strategy realization of a pneumatic climbing robot

High stiffness pneumatic actuating scheme and improved posit...

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IEEE International Conference on robotics and Biomimetics

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

The improved full pneumatic climbing robot Sky Cleaner IV has recently been developed as an intelligent demonstrator and test bed for the implementation of nonlinear locomotion control. Pneumatic actuators control the robot's movement, reducing its weight and increasing its dexterity. The pneumatic system of the robot includes X, Y and Z cylinders, a waist cylinder, brush cylinders and vacuum suckers. The major challenge of the pneumatic system is to achieve precise position control of the two rodless linear X and Y cylinders since the system is nonlinear. Two novel ideas are introduced to the pneumatic actuating system. Firstly, the X and Y cylinders feature an improved pneumatic scheme that drives two groups of four 2-position-2-port high speed on-off valves to adjust the pressure in the two chambers of each cylinder. This improves the pneumatic stiffness of the cylinders remarkably. Secondly, considering the effects of friction and movement acceleration of the cylinder, a compensating variable bang-bang controller is presented to control the cylinders' movement and keep the merits while eliminating the oscillation. The experimental results prove that the two approaches can effectively improve the system's stiffness and control its quality.

关键词： Position control Climbing robots Pneumatic systems intelligent robots intelligent actuators Testing Pneumatic actuators Robot control Brushes Vacuum systems

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Cooperative Autonomous Marine Vehicle motion control in the scope of the EU GREX Project: Theory and Practice

Cooperative Autonomous Marine Vehicle motion control in the ...

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OCEANS - Europe

作者： A. Aguiary J. Almeiday M. Bayaty B. Cardeiray R. Cunhay A. Hauslery P. Mauryay A. Oliveiray A. Pascoaly A. Pereira M. Rufinoy L. Sebastiaoy C. Silvestrey F. Vanniy Dept. Electrical Engineering and Institute for Systems and Robotics (ISR) Instituto Superior Tecnico (IST) Lisbon Portugal Department Computer Science University슠of슠Southern California USA Dept. Computer Science Univ. Southern California (USC) USA

This paper describes the core of the research work done by the ISR/IST team on cooperative autonomous marine vehicle (AMV) motion control in the scope of the EU Project GREX - coordination and control of cooperating heterogeneous unmanned systems in uncertain environments. The first part of the paper affords the reader a concise introduction to the general problem of cooperative motion control of fleets of AMVs by highlighting illustrative mission scenarios developed collectively by the GREX partners and summarizing the main challenges that they pose to system engineers. This is followed by the description of a general architecture for cooperative autonomous marine vehicle control in the presence of time-varying communication topologies and communication losses that is rooted in a solid control-theoretic framework. The results of simulations with the NetMar SyS - networked marine systems simulator - of ISR/IST are presented and show the efficacy of the algorithms developed for cooperative motion control. The last part of the paper focuses on practical issues and describes the results of tests at sea in the Azores, in the Summer of 2008. The paper concludes with a critical review of the work done and a discussion of theoretical and practical implementation issues that warrant further research and development effort.

关键词： Marine vehicles Motion control Communication system control Control systems Automotive engineering systems engineering and theory Network topology Solids Testing Research and development

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AAAI 2008 workshop reports

AAAI 2008 workshop reports

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作者： Anand, Sarabjot Singh Bunescu, Razvan Carvcdho, Vitor Chomicki, Jan Conitzer, Vincent Cox, Michael T. Dignum, Virginia Dodds, Zachary Dredze, Mark Furcy, David Gabrilovich, Evgeniy Göker, Mehmet H. Guesgen, Hans Hirsh, Haym Jannach, Dietmar Junker, Ulrich Ketter, Wolfgang Kobsa, Alfred Koenig, Sven Lau, Tessa Lewis, Lundy Matson, Eric Metzler, Ted Mihalcea, Rada Mobasher, Bamshad Pineau, Joelle Poupart, Pascal Raja, Anita Ruml, Wheeler Sadeh, Norman Shani, Guy Shapiro, Daniel Smith, Trey Taylor, Matthew E. Wagstaff, Kiri Walsh, William Zhou, Rong Department of Computer Science University of Warwick United Kingdom School of Electrical Engineering and Computer Science Ohio University United States Microsoft Live Labs United States computer science and engineering University at Buffalo United States Computer science and economics Duke University United States Intelligent Computing group of BBN Technologies Utrecht University Netherlands Department of Computer science Harvey Mudd College United States University of Pennsylvania United States University of Wisconsin United States Yahoo Research PricewaterhouseCoopers Center for Advanced Research United States Department of Computer science School of Engineering and Advanced Technology Massey University New Zealand Departent of Computer science Rutgers University United States Department of Computer Science Dortmund University of Technology. Germany ILOG Rotterdam School of Management Erasmus University Netherlands Donald Bren School of Information and Computer Sciences University of California Irvine United States Depatrment of Computer science University of Southern California United States IBM Almaden Research Center United States Department of Computer Information Technology Southern New Hampshire University United States Computer and Information Technology Program College of Technology Purdue University United States Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computer Science and Engineering University of North Texas United States School of Computing DePaul University United States Department of Computer Science McGill University Canada School of Computer Science University of Waterloo Canada Department of Software and Information Systems University of North Carolina Charlotte United States University of New Hampshire United States Microsoft Research Institute for the Study of Learning and Expertise Applied Reactivity Inc. United States NASA Ames Research Center Carnegie Mellon University West

AAAI was pleased to present the AAAI-08 Workshop Program, held Sunday and Monday, July 13-14, in Chicago, Illinois, USA. The program included the following 15 workshops: Advancements in POMDP Solvers;AI Education Workshop Colloquium;Coordination, Organizations, Institutions, and Norms in Agent systems, Enhanced Messaging;Human Implications of Human-Robot Interaction;intelligent Techniques for Web Personalization and Recommender systems;Metareasoning: Thinking about Thinking;Multidisciplinary Workshop on Advances in Preference Handling;Search in Artificial Intelligence and robotics;Spatial and Temporal Reasoning;Trading Agent Design and Analysis;Transfer Learning for Complex Tasks;What Went Wrong and Why: Lessons from AI Research and Applications;and Wikipedia and Artificial Intelligence: An Evolving Synergy. Copyright © 2009, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

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