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13th International Conference on Pattern Recognition, ICPR 1996

作者： Zheng, Jiang Yu Murata, Akio Fukagawa, Yoshihiro Abe, Norihiro Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Fukuoka 820 Japan

ISBN: (纸本)081867282X

This paper generalizes a shape recovery method for specular surfaces. We have use linear lights that generate planes of ray to highlight a rotating object so that its specular surfaces are computed from continuous images. By setting lights properly, shape at each rotation plane can be measured and a 3D graphics model can be subsequently reconstructed. In this paper, we extend the lights used to circular ones to produce cones of ray. Under such illuminations, all surface points with different normals are highlighted in a rotation period. The computation of shape is simpler than compared with the linear light case. We give results of shape recovery on real objects. © 1996 IEEE.

关键词： Image reconstruction

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A clustering-based approach to the separation of text strings from mixed text/graphics documents

A clustering-based approach to the separation of text string...

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13th International Conference on Pattern Recognition, ICPR 1996

作者： He, Shoujie Abe, Norihiro Dept. of Information Systems and Computer Science National University of Singapore Lower Kent Ridge Rd Singapore 0511 Singapore Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Kawatsu 680-4 Iizuka-shi 820 Japan

ISBN: (纸本)081867282X

A clustering-based approach to the separation of text from mixed text/graphics documents is presented. The approach starts from the grouping of connected components. Clustering is employed at three critical stages to improve the efficiency and effectiveness of the grouping, i.e., prior to the grouping, prior to orientation estimation, and posterior to the orientation estimation. Because of the high accuracy of the estimated orientation, not only the overgrouping but also most of undergrouping cases could be successfully handled. © 1996 IEEE.

关键词： Pattern recognition

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Digital adaptive control for space robot manipulator

Digital adaptive control for space robot manipulator

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International Conference on Industrial Electronics, Control and Instrumentation

作者： J. Kobayashi E. Hino F. Ohkawa R. Katoh Department of Control Engineering and Science Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Japan Department of Control Engineering Faculty of Engineering Kyushu Institute of Technology Kitakyushu Japan

This paper deals with a digital adaptive control method for a manipulator mounted on a space robot after it captures an unknown object. Most control methods are based on the supposition that all physical parameters of the space robot are known. However, if the end-effector catches an unknown object, the physical parameters of the robot are changed, and the control performance deteriorates. In this paper, the authors propose two types of digital adaptive control algorithm using a discretized kinematic equation. computer simulation was used to make it clear that the control performance can be improved by using either of the proposed methods.

关键词： Adaptive control Orbital robotics Manipulators Space technology Communication system control Angular velocity Control engineering computer simulation Space missions Parameter estimation

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Multi-valued neural network and the knowledge acquisition method by the rough sets for ambiguous recognition problem

Multi-valued neural network and the knowledge acquisition me...

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IEEE International Conference on systems, Man and Cybernetics

作者： P. Chen T. Toyota Faculty of Computer Science and System Engineering Kyushu Institute of Technology Fukuoka Japan

Proposes a "multi-valued neural network" (MNN) which can distinguish patterns (or failure types) on the basis of the probability distributions of ambiguous feature parameters (or symptom parameters). In most cases of pattern recognition, the knowledge for the recognition are ambiguous. In these cases, the learning data (the diagnosis knowledge) for the MNN must be acquired in some way. Therefore, the knowledge acquisition method for the MNN by using rough sets is also proposed. Several examples of failure diagnosis verify that the methods are effective.

关键词： Neural networks Knowledge acquisition Rough sets Pattern recognition computer science Knowledge engineering systems engineering and theory Multi-layer neural network Probability distribution

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Self-reorganization method of symptom parameters for failure diagnosis by genetic algorithms

Self-reorganization method of symptom parameters for failure...

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International Conference on Industrial Electronics, Control and Instrumentation

作者： Peng Chen T. Toyota M. Nasu Faculty of Computer Science and System Engineering Kyushu Institute of Technology Fukuoka Japan

In the field of failure diagnosis of plant rotating machinery, one of the most important and most difficult things is the identification of symptom parameters (SP). By using the optimum SP, failures can be sensitively detected and the failure types can be distinguished. However, there is no acceptable method for extracting the optimum SP. In order to overcome this difficulty and insure highly accurate failure diagnosis, in this paper, a new method called "self-reorganization of symptom parameters" has been proposed by using genetic algorithms (GA). And the new method can also be applied to other pattern recognition problems. By applying the method to many practices, the optimum SP can be quickly discovered. Several examples show that this method is very effective.

关键词： Genetic algorithms Machinery Pattern recognition Signal processing computer science Genetic engineering systems engineering and theory Length measurement Medical diagnosis Acoustic sensors

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Sequential fuzzy diagnosis method and identification method of membership function by probability and possibility theories

Sequential fuzzy diagnosis method and identification method ...

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IEEE International Conference on systems, Man and Cybernetics

作者： T. Toyota Peng Chen Faculty of Computer Science and System Engineering Kyushu Institute of Technology Fukuoka Japan

When building up a fuzzy diagnosis system for machinery diagnosis, fuzzy relation between failure symptoms and failure categories must be defined for fuzzy inference. However, it is not easy to search out the failure symptoms by which all failure categories can be distinguished perfectly and automatically. In order to resolve the problem, we proposed (1) a new type of symptom parameter function called off-group type of symptom parameter (OGSP); (2) the identification method of the OGSP; (3) the identification method of the membership function of OGSP; (4) the algorithm of sequential fuzzy inference by using the OGSP and its membership function for diagnosis. The efficiency of the above methods has been verified by applying them to the ball bearing diagnosis system.

关键词： Fuzzy systems Possibility theory Machinery Density measurement Signal processing computer science systems engineering and theory Pattern recognition Inference algorithms Probability density function

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Interface dynamics in a block copolymer melt and the effect of noise

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Physical Review E 1996年第6期53卷 R5588(R)-R5588(R)页

作者： Shigeyuki Komura Jun-ichi Fukuda Glenn C. Paquette Department of Mechanical System Engineering Kyushu Institute of Technology Iizuka 820 Japan Department of Physics Faculty of Science Kyoto University Kyoto 606 Japan Media Dynamics Corp.Ltd. Kyoto 600 Japan

The role of fluctuations in the disorder-lamellar transition in a block copolymer melt is investigated using a cell dynamical system simulation by measuring the propagation velocity of the interface between ordered and disordered regions. Our results strongly suggest that near the transition temperature, in the absence of noise, the velocity increases with quench depth as v∼τ [τ=(Tc−T)Tc is the reduced temperature measured from the transition temperature Tc], while in the presence of noise, the velocity increases as v∼τ. These results lead us to conclude that the addition of noise causes the disorder-lamellar transition to change from second order to first order. This conclusion is consistent with the prediction of Brazovskii [Sov. Phys. JETP 41, 85 (1975)].

关键词： Surface phenomena

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Robust Fault Detection Using Index of Kullback Discrimination Information

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IFAC Proceedings Volumes 1996年第1期29卷 6524-6529页

作者： K. Kumamaru J. Hu K. Inoue T. Söderström Department of Control Engineering and Science Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka 820 Fukuoka Japan. Department of Automatic Control and Systems Analysis Institute of Technology Uppsala University P.O.Box 27 Uppsala Sweden

This paper presents a robust fault detection system (FDS) for dynamic systems with unmodeled dynamics. In the FDS, umnodeled dynamics is first qualified as soft bound, which as well as model parameters are estimated using a robust identification algorithm. Then as a fault detection index, Kullback discrimination information (KDI) is derived into a feasible form and an index of umnodeled dynamics is also introduced. A decision making scheme is thus developed so that fault detection is carried out based on the KDI, the index of umnodeled dynamics and other prior information about the system.

关键词： Fault detection parameter identification stochastic modeling robust estimation uncertainty

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Performance comparison of dynamic channel assignments for indoor microcell environment

Performance comparison of dynamic channel assignments for in...

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IEEE Conference on Vehicular technology (VTC)

作者： H. Furukawa M. Oishi Y. Akaiwa H. Shimizu Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan

This paper compares the performance of an indoor cellular system in terms of capacity and channel assignment delay for different dynamic channel assignment (DCA) and fixed channel assignment (FCA) schemes. We refer to specific group of DCAs, namely channel segregation and reuse partitioning. Our main concern is to show that these DCA schemes offer better performance than FCA. Since the structure and floor layout of a building will have a major influence on the propagation and hence on the cell shape, a path loss simulator (operating in the 2.5 GHz band) is developed for predicting the path loss which is used in evolving base station layouts. computer simulation, based on Monte Carlo method, are carried out using the path loss values and the base station layouts. The results indicate that increased traffic capacity can be achieved with all DCAs in comparison with FCA. The highest capacity and a shorter channel assignment delay are delivered by self-organized reuse partitioning DCA scheme.

关键词： Delay Propagation losses Base stations Channel capacity Floors Buildings Shape Computational modeling Predictive models computer simulation

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A hybrid quasi-ARMAX modeling scheme for identification and control of nonlinear systems

A hybrid quasi-ARMAX modeling scheme for identification and ...

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IEEE Conference on Decision and Control

作者： Jinglu Hu K. Kumamaru K. Inoue Department of Control Engineering and Science Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan

ISBN: (纸本)0780335902

This paper proposes a hybrid quasi-ARMAX modeling and identification scheme for nonlinear systems. The idea is to incorporate a group of certain nonlinear nonparametric models (NNMs) into a linear ARMAX structure. Particular effort is made to find a better compromise to the trade-off between the model flexibility and the simplicity for estimation by using knowledge information efficiently. As the result, we obtain a model equipped with a linear ARMAX structure, flexibility and simplicity. The effectiveness and usefulness of the proposed hybrid model are examined by applying it to identification and control of nonlinear systems.

关键词： Control system synthesis Nonlinear control systems Nonlinear systems Ear Control engineering computer science systems engineering and theory Control design Programmable control Adaptive control

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