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International Conference on Control, automation and Systems, ICCAS 2007

作者： Sun, Zengqi Li, Hongbo Wang, Yan Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing 100084 China School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing 100083 China

ISBN: (纸本)8995003871

This paper presents a comprehensive overview of the current state of research in the area of Networked control systems (NCSs) first. Then two modeling and control methods are introduced for NCSs in details. The first one is a stochastic control method, which investigates the H∞ control problem for NCSs with random network-induced delay. The second one is a switch control method, which focuses on solving the stabilization problem for NCSs in discrete-time domain, where both network-induced delay and packet dropout are taken into account. Illustrative examples are given to demonstrate the effectiveness of the proposed approaches. Finally, this paper concludes with the discussion of possible future development of NCSs from a control perspective.

关键词： Networked control systems

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On-line learning control for discrete nonlinear systems via an improved ADDHP method

On-line learning control for discrete nonlinear systems via ...

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4th International Symposium on Neural Networks, ISNN 2007

作者： Zhang, Huaguang Wei, Qinglai Liu, Derong School of Information Science and Engineering Northeastern University Shenyang Liaoning 110004 China Key Laboratory of Process Industry Automation Ministry of Education China Department of Electrical and Computer Engineering University of Illinois at Chicago 60607-7053 Chicago United States

ISBN: (纸本)9783540723820

This paper mainly discusses a generic scheme for on-line adaptive critic design for nonlinear system based on neural dynamic programming (NDP), more exactly, an improved action-depended dual heuristic dynamic programming (ADDHP) method. The principal merit of the proposed method is to avoid the model neural network which predicts the state of next time step, and only use current and previous states in the method, as makes the algorithm more suitable for real-time or online application for process control. In this paper, convergence proof of the method will also be given to guarantee the control to reach the optimal. At last, simulation result verifies the performance. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Dynamic programming

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User profiles for personalized information access

User profiles for personalized information access

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The Adaptive Web: Methods and Strategies of Web Personalization

作者： Gauch, Susan Speretta, Mirco Chandramouli, Aravind Micarelli, Alessandro Electrical Engineering and Computer Science Information and Telecommunication Technology Center 2335 Irving Hill Road Lawrence KS 66045-7612 United States Department of Computer Science and Automation Artificial Intelligence Laboratory Roma Tre University Via della Vasca Navale 79 00146 Rome Italy

ISBN: (纸本)3540720782

The amount of information available online is increasing exponentially. While this information is a valuable resource, its sheer volume limits its value. Many research projects and companies are exploring the use of personalized applications that manage this deluge by tailoring the information presented to individual users. These applications all need to gather, and exploit, some information about individuals in order to be effective. This area is broadly called user profiling. This chapter surveys some of the most popular techniques for collecting information about users, representing, and building user profiles. In particular, explicit information techniques are contrasted with implicitly collected user information using browser caches, proxy servers, browser agents, desktop agents, and search logs. We discuss in detail user profiles represented as weighted keywords, semantic networks, and weighted concepts. We review how each of these profiles is constructed and give examples of projects that employ each of these techniques. Finally, a brief discussion of the importance of privacy protection in profiling is presented. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Information analysis

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RESEARCH ON CHINESE FAQ QUESTION ANSWERING SYSTEM IN RESTRICTED DOMAIN

RESEARCH ON CHINESE FAQ QUESTION ANSWERING SYSTEM IN RESTRIC...

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2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： ZHENG-TAO YU YAN-XIA QIU JIN-HUI DENG LU HAN XIANG-YAN MENG CUN-LI MAO The School of Information Engineering and Automation Kunming University of Science and Technology The School of Information Engineering and Automation Kunming University of Science and Technology The Institute of Intelligent Information Processing Computer Technology Application Key Laboratory

FAQ(Frequently-asked Question) is a good question and answer model to realize business advisory system in restricted domain.A FAQ question answering system model is presented in this *** the help of the idea of ontology, a knowledge base is constructed in the *** the help of language KDML (Knowledge Database Mark-up Language) of HowNet,the domain ontology and the relationship of it are defined and described, and the fusion of domain knowledge base (Domain HowNet) and common knowledge base(HowNet) is *** this basis, a question similarity calculation method, which makes use of the characteristics of the domain question and combines lexical relationship, syntactic interdependent relationship and the semantic relationship of domains among question sentences, is *** based on the question similarity calculation, retrieval of related question from the candidate question set and extraction of answers can be implemented with this *** result of Yunnan tourism question-answer model experiment shows that this method is feasible and effective.

关键词： Restricted domain question answering system Frequently-asked question Domain ontology Question similarity

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An Initial Rotor Position Estimation Method for Switched Reluctance Motor without Using Machine Parameter

An Initial Rotor Position Estimation Method for Switched Rel...

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International Conference on Electrical Machines and Systems 2007(ICEMS2007)(第十届国际电机与系统会议)

作者： K. Tungpimolrut S. Kachapornkul P.Somsiri P. Jitkreeyarn Tadashi Fukao Akira Chiba Industrial Control and Automation Laboratory Section National Electronics and Computer Technology C Department of Electrical Engineering Faculty of Science and Technology Tokyo University of Science

In this paper a method to estimate the initial rotor position of the switched reluctance motor (SRM) at the stand still condition is proposed. The proposed method can be implemented by the simple microcontroller based system, and it is not necessary to know the magnetization curves. The impulse gate drive signal is applied and the winding current is detected and its approximate value is used for calculating the rotor position. The compensation method to reduce the estimation error thorough one cycle is also mentioned. The proposed method is implemented with the 6-stator-pole and 4- rotor-pole, 1.5 kW 3-phase switched reluctance motor.

关键词： Switched reluctance motor initial rotor position estimation

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A Novel Time-Delay Recurrent Neural Network and Application for Identifying and Controlling Nonlinear Systems

A Novel Time-Delay Recurrent Neural Network and Application ...

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International Conference on Natural Computation (ICNC)

作者： Hongwei Ge Wenli Du Feng Qian Yanchun Liang Automation Institute State-Key Laboratory of Chemical Engineering East China University of Science and Technology Shanghai China College of Computer Science Jilin University Changchun China

A time-delay recurrent neural network (TDRNN) model is proposed. TDRNN has a simple structure but far more "depth" and "resolution ratio" in memory by introducing the time-delay and recurrent mechanism. A dynamic recurrent back propagation algorithm is developed. The optimal adaptive learning rates are derived in the sense of discrete-type Lyapunov stability to guarantee the fast convergence of the proposed model. More specifically, a TDRNN identifier and a TDRNN controller are utilized for identifying and controlling nonlinear systems. Numerical experiments show that the TDRNN has good effectiveness in the identification and control for dynamic systems.

关键词： Recurrent neural networks Nonlinear control systems Control systems Nonlinear systems System identification Artificial neural networks Automatic control Neurons Nonlinear dynamical systems Application software

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Online Appearance Model Learning for Video-Based Face Recognition

Online Appearance Model Learning for Video-Based Face Recogn...

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： Liang Liu Yunhong Wang Tieniu Tan National Laboratory of Pattern Recognition Institute of Automation Chinese Academy and Sciences Beijing China School of Computer Science and Engineering Beihang University Beijing China

In this paper, we propose a novel online learning method which can learn appearance models incrementally from a given video stream. The data of each frame in the video can be discarded as soon as it has been processed. We only need to maintain a few linear eigenspace models and a transition matrix to approximately construct face appearance manifolds. It is convenient to use these learnt models for video-based face recognition. There are mainly two contributions in this paper. First, we propose an algorithm which can learn appearance models online without using a pre-trained model. Second, we propose a method for eigenspace splitting to prevent that most samples cluster into the same eigenspace. This is useful for clustering and classification. Experimental results show that the proposed method can both learn appearance models online and achieve high recognition rate.

关键词： Face recognition Streaming media Computational complexity Clustering algorithms Training data Laboratories Pattern recognition automation computer science Maintenance engineering

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Fuzzy $H_\infty$ Filter Design for a Class of Nonlinear Discrete-Time Systems With Multiple Time Delays

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IEEE Transactions on Fuzzy Systems 2007年第3期15卷 453-469页

作者： Huaguang Zhang Shuxian Lun Derong Liu School of Information Science and Engineering Northeastern University Shenyang Liaoning China Ministry of Education Key Laboratory of Integrated Automation of Process Industry of MOE China School of Informatica Science and Engineering Northeastern University Liaoning China Department of Electrical and Computer Engineering University of Illinois Chicago Chicago IL USA

This paper studies the fuzzy H infin filter design problem for signal estimation of nonlinear discrete-time systems with multiple time delays and unknown bounded disturbances. First, the Takagi-Sugeno (T-S) fuzzy model is used to represent the state-space model of nonlinear discrete-time systems with time delays. Next, we design a stable fuzzy H infin filter based on the T-S fuzzy model, which guarantees asymptotic stability and a prescribed H infin index for the filtering error system, irrespective of the time delays and uncertain disturbances. A sufficient condition for the existence of such a filter is established by using the linear matrix inequality (LMI) approach. The proposed LMI problem can be efficiently solved with global convergence guarantee using convex optimization techniques such as the interior point algorithm. Simulation examples are provided to illustrate the design procedure of the present method.

关键词： Fuzzy systems Delay effects Signal design Estimation Takagi-Sugeno model Asymptotic stability Filtering Sufficient conditions Nonlinear filters Linear matrix inequalities

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Research on passage retrieval in Chinese question answering system

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Journal of Computational Information Systems 2007年第6期3卷 2367-2373页

作者： Yu, Zhengtao Han, Lu Wan, Zhou Xiang, Fenghong Mao, Cunli Guo, Jianyi School of Information Engineering and Automation Kunming University of Science and Technology Kunming 650051 China Computer Technology Application Key Laboratory of Yunnan Province Institute of Intelligent Information Processing Kunming 650051 China

In Chinese Question Answering System, in order to improve the accuracy of the passage retrieval which includes answers, this paper presents a method to compute the weight of passage based on the analysis of current passage retrieval methods. The word frequency of query words and query expansion words in passage, the length of passage;the distribution density and minimum match span of query words and query expansion words in passage are considered. The weight calculation of the answer passage is realized. And candidate passage set is retrieved on the basis of the weight Calculation. The experiment result on passage retrieval shows that this method has good effects that the MRR value equals 0.50.

关键词： Search engines

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Evaluating the efficiency of candidates for graduate study via data envelopment analysis

Evaluating the efficiency of candidates for graduate study v...

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114th Annual ASEE Conference and Exposition, 2007

作者： Kongar, Elif Sobh, Tarek University of Bridgeport United States Northeastern University United States Center for Industrial Ecology Yale University United States Scientific Research Society United States Sigma Xi United States Industrial Engineering Honor Society United States Alpha Pi Mu Phi Beta Delta Honor Society United States Phi Kappa Phi Honor Society United States School of Engineering Dept. of Computer Science Computer Engineering Mechanical Engineering and Electrical Engineering Laboratory University of Bridgeport CT United States Computer Society Robotics and Automation Society United States United States School of Engineering University of Bridgeport Bridgeport CT 06604 United States

In this paper, we present a DEA approach to measure the relative efficiency of applicants to the graduate programs in engineering. The proposed performance criteria are determined depending on the current evaluation criteria in the School of engineering at the University of Bridgeport. The steps and implementation of the proposed methodology are explained with the help of a numerical example for the Fall 2004 semester. © American Society for engineering Education, 2007.

关键词： engineering education

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