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AN INTERNET-BASED LABORATORY FOR DISTANCE LEARNING IN CONTROL ENGINEERING

IFAC Proceedings Volumes 2005年第1期38卷 91-96页

作者： Tudor Buzdugan Ioan Nascu Robin De Keyser Faculty of Automation and Computer Science Technical University of Cluj-Napoca Romania Electrical energy Systems & Automation Ghent University Belgium

The motivation, structure and performances of an educational Internet based control engineering laboratory are presented. It is intended to be a general tool, able to work with a large category of real processes and to provide support for the most common and specific laboratory experiments in the field of control engineering. It is a ready to use solution and a user friendly system from both points of view, student and professor.

关键词： distance learning laboratory experiments real-time control engineering internet

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Fault Detection Using Non-Linear Model-Based Approach

Fault Detection Using Non-Linear Model-Based Approach

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： D. Valh B. Bratina B. Tovornik Faculty of Electrical Engineering and Computer Science/ Laboratory for Process Automation University of Maribor Maribor Slovenia

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Gauss-chebyshev neural networks

Gauss-chebyshev neural networks

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International Conference on Machine Learning and Cybernetics, ICMLC 2005

作者： Xing, Hong-Jie Hu, Bao-Gang National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing Graduate School Chinese Academy of Sciences P.O. Box-2728 Beijing 100080 China Faculty of Mathematics and Computer Science Hebei University Baoding 071002 Hebei China

ISBN: (纸本)078039092X

This paper presents a novel neural network integrating both Gauss neural network and Chebyshev neural network. The Gauss-Chebyshev neural networks take advantages of the Gauss kernel for local approximation ability, but the Chebyshev one for global generalization ability. Numerical experiments confirm the new strategy on the better performance in comparison with Gauss neural networks. Furthermore, under the same initialization conditions, Gauss-Chebyshev neural network is more efficient than Gauss-Sigmoid neural network for regression application. All eight functions tested from the experiments show the improvements of the proposed neural networks. © 2005 IEEE.

关键词： Neural networks

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Humanoid robot platform suitable for studying embodied interaction

Humanoid robot platform suitable for studying embodied inter...

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2005 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： M. Hackel S. Schwope J. Fritsch B. Wrede G. Sagerer Robotics Research Department MABOTIC-Robotics and Automation Hurth Germany Applied Computer Science Faculty of Technology Bielefeld University Germany

This paper presents the humanoid robot BARTHOC who has been developed to study human-robot interaction (HRI). The main focus of BARTHOC's design was to realize the expression and behavior of the robot to be as human-like as possible. This allows to apply the platform to manifold research and demonstration areas. With his human-like look and mimic possibilities, he differs from other platforms like ASIMO or QRIO, and enables experiments even close to Mori's 'uncanny valley'. The paper describes details of the mechanical and electrical design of BARTHOC together with its PC control interface. Through its humanoid appearance, it can imitate human behavior with its soft- and hardware. Currently, several components for HRI on a mobile robot platform are being ported to BARTHOC. Starting with these components, the robot's human-like appearance enables us to study embodied interaction and to explore theories of human intelligence.

关键词： Humanoid robots Human robot interaction Robotics and automation Intelligent robots Hardware Machine intelligence Robot sensing systems Speech Anatomy computer science

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Design of a climbing robot for cleaning spherical surfaces

Design of a climbing robot for cleaning spherical surfaces

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IEEE International Conference on Robotics and Biomimetics

作者： Houxiang Zhang Jianwei Zhang Rong Liu Wei Wang Guanghua Zong TAMS Faculty of Computer Science University of Hamburg Hamburg Germany School of Mechanical Engineering and Automation Beihang University Beijing China

This paper proposes a new kind of auto-climbing robot which is used for cleaning the spherical surface of the newly built National Grand Theatre in China. Firstly, an overview of the robotic system is given. Then for system design and control purposes, the climbing process is studied in detail. The force distribution of the front and rear supporting mechanisms is computed in a way that ensures the safety of the climbing process. After that, a new approach to path planning for wall-cleaning robots is presented considering the movement security, cleaning efficiency and the percentage of cleaning coverage. The successful on-site test confirms the principles described above and the robot's ability to work on a spherical surface

关键词： Climbing robots Cleaning Robotics and automation Path planning Buildings Safety Shape Legged locomotion Control systems computer science

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Towards modeling human expertise: Am empirical case study

Towards modeling human expertise: Am empirical case study

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Recent Advances in Artifical Intelligence - Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005

作者： Knauf, Rainer Tsuruta, Setsuo Gonzalez, Avelino J. Faculty of Computer Science and Automation Ilmenau Technical University PO Box 100565 98684 Ilmenau Germany School of Information Environment Tokyo Denki Unversity 2-1200 Musai-gakuendai Inzai Chiba 270-1382 Japan Dept. of Electrical and Computer Engineering University of Central Florida Orlando FL 32816-2450 United States

ISBN: (纸本)1577352343

The success of TURING Test technologies for system validation depends on the quality of the human expertise behind the system. The authors developed models of collective and individual human expertise, which are shortly outlined here. The focus of the paper is an experimental work aimed at determining the quality of these models. The models have been used for both solving problem cases and rating (other agents') solutions to these cases. By comparing the models' solutions and ratings with those of the human original we derived assessments of their quality. An analysis revealed both the general usefulness and some particular weaknesses. Copyright © 2005, American Association for Artificial Intelligence (***). All rights reserved.

关键词： Human computer interaction

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Contract-based mutation for testing components

Contract-based mutation for testing components

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International Conference on Software Maintenance (ICSM)

作者： Ying Jiang Shan-Shan Hou Jin-Hui Shan Lu Zhang Bing Xie Institute of Software School of Electronics Engineering and Computer Science Peking University Beijing China Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China

Testing plays an important role in the maintenance of component based software development. Test adequacy for component testing is one of the hardest issues for component testing. To tackle this problem, it is a natural idea to apply mutation testing, which is a fault-based testing method used for measuring test adequacy, for component contracts, whose aim is to improve the testability of the component. Though powerful, mutation testing is usually very computation-expensive, as many mutants need to be produced and executed in mutation testing. In this paper, we propose a contract-based mutation technique for testing components. Based on the discordance between contracts and specification, our approach employs a set of high level contract mutation operators. The experimental results show that these operators can greatly reduce the number of mutants compared with traditional mutation operators. At the same time, the contract-based mutation using our contract mutation operators can provide almost the same ability as that of using traditional mutation operators. Moreover, effective test suite can be produced to reduce the maintenance effort.

关键词： Genetic mutations Contracts Software testing Software reusability Software maintenance Electronic equipment testing Programming Application software computer science automation

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Chaos-based Pseudo-Random Number Generators and Chip Implementation

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IFAC Proceedings Volumes 2005年第1期38卷 1090-1094页

作者： Zhong Li Ping Li Yaobin Mao W.A. Halang Faculty of Electrical and Computer Engineering Fern Universität in Hagen 58084 Hagen Germany Department of Automation Nanjing University of Science and Technology Nanjing 210094 P. R. China

Cryptography as an ancient subject is endowed with new vigor by chaos theory. Cryptography protects the security of today's ubiquitous Internet communication, which as an open network is vulnerable to attack. In this paper, chaos-based cryptography is surveyed with focus on designing chaotic pseudo-random number generators (CPRNGs) for stream cipher and their chip implementation. The properties of the proposed CPRNG are analyzed.

关键词： Chaos-based pseudo-random number generator (CPRNG) cryptography chaos chip implementation

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Gauss-Chebyshev neural networks

Gauss-Chebyshev neural networks

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Hong-Jie Xing Bao-Gang Hu National Laboratory of Pattern Recognition Institute of Automation Chinese Academy and Sciences Faculty of Mathematics and Computer Science Hebei University Baoding Hebei China Chinese Academy of Sciences Beijing Graduate School Beijing China

This paper presents a novel neural network integrating both Gauss neural network and Chebyshev neural network. The Gauss-Chebyshev neural networks take advantages of the for local approximation ability, but the Chebyshev one for global generalization ability. Numerical experiments confirm the new strategy on the better performance in comparison with Gauss neural networks. Furthermore, under the same initialization conditions, Gauss-Chebyshev neural network is more efficient than Gauss-Sigmoid neural network for regression application. All eight functions tested from the experiments show the improvements of the proposed neural networks.

关键词： Gaussian processes Neural networks Chebyshev approximation Feedforward neural networks Gaussian approximation Pattern recognition Kernel Convergence Parametric statistics Laboratories

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ICDAR 2003 robust reading competitions: Entries, results, and future directions

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International Journal on Document Analysis and Recognition 2005年第2-3期7卷 105-122页

作者： Lucas, Simon M. Panaretos, Alex Sosa, Luis Tang, Anthony Wong, Shirley Young, Robert Ashida, Kazuki Nagai, Hiroki Okamoto, Masayuki Yamamoto, Hiroaki Miyao, Hidetoshi Zhu, JunMin Ou, WuWen Wolf, Christian Jolion, Jean-Michel Todoran, Leon Worring, Marcel Lin, Xiaofan Department of Computer Science University of Essex Colchester CO4 3SQ United Kingdom Department of Information Engineering Faculty of Engineering Shinshu University Nagano 380-8553 4-17-1 Wakasato Japan Institute of Automation Chinese Academy of Science Beijing 100080 PO Box 2738 China Lyon Research Center for Images and Intelligent Information Systems INSA de Lyon 69621 Villeurbanne Cedex Bt. J. Verne 20 rue Albert Einstein France Informatics Institute University of Amsterdam 1098 SJ Amsterdam Kruislaan 403 Netherlands Hewlett-Packard Laboratories Palo Alto CA 94304 1501 Page Mill Road United States

This paper describes the robust reading competitions for ICDAR 2003. With the rapid growth in research over the last few years on recognizing text in natural scenes, there is an urgent need to establish some common benchmark datasets and gain a clear understanding of the current state of the art. We use the term 'robust reading' to refer to text images that are beyond the capabilities of current commercial OCR packages. We chose to break down the robust reading problem into three subproblems and run competitions for each stage, and also a competition for the best overall system. The subproblems we chose were text locating, character recognition and word recognition. By breaking down the problem in this way, we hoped to gain a better understanding of the state of the art in each of the subproblems. Furthermore, our methodology involved storing detailed results of applying each algorithm to each image in the datasets, allowing researchers to study in depth the strengths and weaknesses of each algorithm. The text-locating contest was the only one to have any entries. We give a brief description of each entry and present the results of this contest, showing cases where the leading entries succeed and fail. We also describe an algorithm for combining the outputs of the individual text locators and show how the combination scheme improves on any of the individual systems. © Springer-Verlag 2005.

关键词： Camera captured Reading competition Text locating

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