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Challenge of human factor influence for car safety

Neural Network World 2004年第1期14卷 37-47页

作者： Novák, Mirko Votruba, Zdenëk Jt. Laboratory of System Reliability Faculty of Transportation Sciences Czech Technical University Prague Institute of Computer Science Acad. of Sci. of the Czech Republic Prague Department of Control Engineering Faculty of Transportation Sciences Czech Technical University Prague

The challenge of human factor influence for analyzing the reliability and safety of car transportation is discussed. An analysis of the density and the kind of use among the drivers in different regions and seasons of the year is made. The possibilities to detect the driver falling into a relaxant, somnolent or micro-sleep stage by the use of suitable combination of secondary factors are investigated. The operation of the driver in the moving car is an example of very complicated interaction between several very heterogeneous systems.

关键词： Motor transportation

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AN EFFICIENT MULTI-PURPOSE OPTIMIZATION METHOD FOR QOS ROUTING USING GENETIC ALGORITHM

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Journal of Interconnection Networks 2004年第4期5卷 409-428页

作者： AKIO KOYAMA LEONARD BAROLLI GENCI CAPI BERNADY O. APDUHAN JUNPEI ARAI ARJAN DURRESI Department of Informatics Yamagata University 4-3-16 Jonan Yonezawa Yamagata 992-8510 Japan Department of Information and Communication Engineering Fukuoka Institute of Technology (FIT) 3-30-1 Wajiro-Higashi Higashi-ku Fukuoka 811- 0295 Japan Department of System Management Fukuoka Institute of Technology (FIT) 3-30-1 Wajiro-Higashi Higashi-ku Fukuoka 811-0295 Japan Department of Intelligent Informatics Kyushu Sangyo University 2-3-1 Matsukadai Higashi-ku Fukuoka 813-8503 Japan Department of Information and Control Engineering Yamagata College of Industry and Technology 1-2-2 Matsuei Yamagata 990-2473 Japan Department of Computer Science Louisiana State University Baton Rouge LA 70803 USA

In order to support multimedia communication, it is necessary to develop routing algorithms that make decisions based on multiple Quality of Service (QoS) parameters. This is because new services such as video on demand and remote meeting systems have multiple QoS requirements. However, the problem of QoS routing is difficult because finding a feasible route with two independent path constraints is NP-complete problem. Also, QoS routing algorithms for broadband networks must be adaptive, flexible, and intelligent for efficient network management. In this paper, we propose a multi-purpose optimization method for QoS routing based on Genetic Algorithm (GA). The simulation results show that the proposed method has a good performance and therefore is a promising method for QoS routing.

关键词： Broadband Networks Genetic Algorithm QoS Routing Multi-purpose Optimization

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Secure firewall traversal in mobile IP network

Secure firewall traversal in mobile IP network

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International Conference on Computational science, ICCS 2003

作者： Park, Jung-Min Jin, Min-Jung Chae, Kijoon Intelligent System Control Research Center KIST Korea Republic of Department of Computer Science and Engineering Ewha Womans Univ Korea Republic of

ISBN: (纸本)3540401970

With recent advances in wireless communication technology, mobile computing is an importance research area. Mobile IP is designed to provide IP services to roaming nodes. Mobile users take advantage of this protocol to obtain the services as if they were connected to their home network. In many cases mobile users is connected through a wireless link and is protected by corporation’s firewall in virtual private network. In order to have a successful deployment of Mobile IP as an extension of a private network, security services should be provided as if the mobile node were attached to its home network. In this paper, we propose the security mechanism of combining Mobile IP and IPSec tunnels, which can provide secure traversal of firewall in a home network. The simulation results show that the proposed mechanism provides the secure and efficient communication. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Home networks

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Plant uncertainty contribution to QFT Tracking control design 4

Plant uncertainty contribution to QFT Tracking control desig...

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4th IFAC Symposium on Robust control Design, ROCOND 2003

作者： Martínez, G.-M. Sanz, G.-M. System Engineering and Automation Group Electrical Engineering Department University of La Rioja Luis de Ulloa. 20 Logrono26004 Spain Automatic Control and Computer Science Department Public University of Navarra Campus Arrosadia s/n Pamplona31006 Spain

Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process mode!. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the contribution of the plant uncertainty to the tracking QFT bounds through a serious study of tracking bound formulas. From this, a methodology for uncertainty fragmentation is developed. It hopes to loosen the bound toughness, or the control design trade-offs. Better feedback benefits can be achieved while reducing the high-frequency amplification of noises and disturbances at the plant input at the same time. Different QFT controllers in a controller-scheduler structure should drive different uncertainty boundaries. © 2003 IFAC.

关键词： Robust control

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Robust tracking performance enhancement through uncertainty division

Robust tracking performance enhancement through uncertainty ...

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2003 European control Conference, ECC 2003

作者： Gil-Martínez, M. García-Sanz, M. System Engineering and Automation Group Electrical Engineering Department University of La Rioja Luis de Ulloa 20 Logroño26004 Spain Automatic Control and Computer Science Department Public University of Navarra Campus Arrosadía s/n Pamplona31006 Spain

ISBN: (纸本)9783952417379

When the process uncertainty size increases, even linear minimum phase systems must sacrifice desirable aggressive feedback control benefits to avoid an excessive 'cost of feedback', while preserving the robust stability. With a suitable uncertainty division and a QFT controller-prefilter to command each uncertainty subset inside a controller-scheduler structure, it is possible to enhance the feedback tracking performance without an excessive bandwidth. To preserve the robust stability from any failure in the switching, each controller is designed to be stable in the whole uncertainty domain, and as accurate in command tracking as desired in its uncertainty subset. © 2003 EUCA.

关键词： Robust control

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Behavior selection architecture for tangible agent

Behavior selection architecture for tangible agent

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IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA)

作者： Kyung-Joong Kim Sung-Bae Cho Sang-Rok Oh Department of Computer Science Yonsei University South Korea Intelligent System Control Research Center KIST South Korea

ISBN: (纸本)0780378660

Tangible agent (TA) is a new medium that communicates the senses of sight, hearing, touch, smell, and taste of human to computer. Intelligent behavior is a key property to realize the agent because it must interact with human to grasp all the information. We have adopted a behavior-based approach for high-level behaviors such as navigation of office, conversation with human, and cleaning of room. Behavior-based method can control unexpected situation without prior knowledge and generate high-level behavior with behavior selection. However, TA requires improvements of behavior selection architecture for better communication with human. In this paper, we propose an intelligent behavior selection architecture that contains interferencing, learning and planning capability to TA. In this paper, overview of technical details and experimental results on physical device (Khepera robot) are presented. Preliminary results show the possibility of the proposed behavior selection for TA.

关键词： Humans Intelligent robots Robot kinematics Intelligent agent Bayesian methods Animals computer architecture Robot sensing systems Artificial intelligence Fuzzy cognitive maps

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Fault detection of non-linear systems based on multi-form quasi-armax modeling and its application to the ship benchmark 13

Fault detection of non-linear systems based on multi-form qu...

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13th IFAC Symposium on system Identification, SYSID 2003

作者： Kumamaru, K. Inoue, K. Hosoyamada, Y. Söerström, T. Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Fukuoka Iizuka820-8502 Japan Department of Automatic Control and System Analysis Institute of Technology Uppsala University P.O.Box 27 Uppsala Sweden

This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the object system, Quasi-ARMAX model with multi-model form is used. In this model, the system non-linearity is incorporated into model parameters by using non-linear non-parametric models (NNMs). Kullback discrimination Information (KDI) is introduced as fault detection index to evaluate the distortion in identified model, which is caused by a fault. The effectiveness of the method is verified through simulation studies on the ship propulsion system. © 2003 International Federation of Automatic control.

关键词： Fault detection

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Design and implementation of a behavior-based control and learning architecture for mobile robots

Design and implementation of a behavior-based control and le...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Il Hong Suh Sanghoon Lee Bong Oh Kim Byung Ju Yi Sang Rok Oh Department of Electrical Engineering and Computer Science Hanyang University Seoul South Korea Intelligent System Control Research Center Korea Institute of Science and Technology Seoul South Korea

ISBN: (纸本)0780377362

A behavior-based control and learning architecture is proposed, where reinforcement learning is applied to learn proper associations between stimulus and response by using two types of memory called as short Term Memory and Long Term Memory. In particular, to cope with delayed-reward problem, a knowledge-propagation (KP) method is proposed, where well-designed or well-trained S-R(stimulus-response) associations for low-level sensors are utilized to learn new S-R associations for high-level sensors, in case that those S-R associations require same objective such as obstacle avoidance. To show the validity of our proposed KP method, comparative experiments are performed for the cases that:(1) only a delayed reward is used, (2) some of S-R pairs are preprogrammed, (3) immediate reward is possible, and (4) our KP method is applied.

关键词： Mobile robots Intelligent robots Learning Delay Animals control systems computer architecture Intelligent systems Cognitive robotics Robot sensing systems

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Implementation of a neural network based system for estimating the strength of a board using mixed signals

Implementation of a neural network based system for estimati...

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IEEE Pacific Rim Conference on Communications, computers and Signal Processing

作者： H. Saboksayr A. Saravi P.D. Lawrence F. Lam IEEE Control System Society Vancouver Canada Robotics and Control Laboratoryratory Department of Electrical and Computer Engineering University of British Columbia Vancouver Canada Robotics and Control Laboratory Department of Electrical and Computer Engineering University of British Columbia Vancouver Canada Department of Wood Science University of British Columbia Vancouver Canada

An intelligent lumber grading system was developed to provide a new way for estimating the strength of a board by posing the estimation problem as an empirical learning problem. This system processed the X-ray image, extracted geometric features (of 1000 boards that eventually underwent destructive strength testing), and predicted the strength of the lumber by using a neural network. The X-ray image was passed through a threshold filter to separate the knots based on the fact that a denser knot produces a local maximum (as a rounded protrusion in an otherwise almost flat density surface) of the X-ray image. Each knot was modeled by a three-dimensional-cone with seven parameters. Information on all the detected knots such as volume, and knot-area-ratio were fed to a processor to generate 16 geometrical features (such as; the average of knot area ratio, and the number of knots detected in each board), which characterize each board. Then by using back-propagation as the training method, cross correlation as the measure of accuracy, and actual strength of a thousand boards as the empirical data set, a neural network was trained to estimate the strength of each board. The learning system consisted of three layers, with 1, 5, 16 neurons in output, hidden and input layer respectively. Ten-fold cross validation was used to produce an unbiased accuracy of the estimation problem. The learning and testing sets comprised of 900 and 100 boards respectively. By repeating the learning and testing for ten times and averaging the results, a coefficient of determination of 0.4059 was reached in this study for using X-ray images alone. The same methodology was applied to MOE (modulus of elasticity) and a coefficient of determination of 0.56 was reached. The results were improved by fusing the X-ray image and MOE using a learning system consisting of three layers, with 1, 5, 40 neurons in output, hidden and input layer respectively. Ten-Fold cross validation resulted in a coefficient o

关键词： Neural networks X-ray imaging Feature extraction Learning systems Neurons Intelligent systems system testing Filters Character generation Elasticity

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Fault detection of non-linear systems based on multi-form quasi-armax modeling and its application to the ship benchmark

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IFAC Proceedings Volumes 2003年第16期36卷 1047-1052页

作者： K. Kumamaru K. Inoue Y. Hosoyamada T. Söerström Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawazu 680-4 Iizuka 820-8502 Fukuoka Japan Department of Automatic Control and System Analysis Institute of Technology Uppsala University P.O.Box 27 Uppsala Sweden

关键词： Fault detection Kullback discrimination information non-linear system parameter estimation quasi-ARMAX model

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