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Mathematical programming formulation for neural combinatorial optimization algorithms

ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC science 1995年第9期78卷 67-75页

作者： Urahama, K Member Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka Japan 820

This paper considers the analog neural solution of the combinatorial optimization problem. The solution method is analyzed based on the Lagrange multiplier method for the continuous relaxation problem of 0-1 integer programming. It is shown that the solution process can be interpreted as the solution by the gradient method for the saddle point of the Lagrange function. An improved Hopfield net is derived from the formulation as the pure integer programming. The elastic net and the generalized deformable model are derived from the mixed integer programming problem. Based on those results, an interpretation of the deterministic annealing is derived from the viewpoint of mathematical programming. It is shown that the Lagrange function can work as the Lyapunov function for the solution process and the convergence property of those neural methods of solution is analyzed.

关键词： combinatorial optimization Lagrange multiplier method Hopfield net elastic net generalized deformable model

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Fuzzy diagnosis and fuzzy navigation for plant inspection and diagnosis robot

Fuzzy diagnosis and fuzzy navigation for plant inspection an...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

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

Plant inspection and diagnosis robot (IDR) must have the ability to widely monitor the condition of plant machinery with only a few sensors, and to quickly discriminate machine failures. Sound information can be used for monitoring the condition and diagnosing the failure of many machines at the same time, so a sound measuring system is suitable for an IDR. However, when using sound information for condition monitoring and inspection, several problems, such as the effect of noise and a dull sensibility to failure signals, etc., must be solved. In this paper, the method of failure detection and navigation for an IDR is discussed by using sound information and fuzzy logic.< >

关键词： Navigation Inspection Condition monitoring Fuzzy logic Robot sensing systems computerized monitoring Machinery Acoustic noise Signal detection Fault detection

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A self-organized reuse-partitioning dynamic channel assignment scheme with quality based power control

A self-organized reuse-partitioning dynamic channel assignme...

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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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

High spectrum efficiency is promised by reuse partitioning in a cellular system. We propose an improved algorithm for self-organized reuse partitioning (SORP), a distributed dynamic channel assignment scheme, in order to obviate the need for broadcasting transmit power level information of each mobile terminal. The concept of the improved scheme is simple: a mobile terminal with low transmit power uses a low numbered channel throughout the system. Reuse partitioning can be achieved owing to such a channel segmentation. The algorithm is designed to realize the channel segmentation without the broadcasting of the transmit power level. computer simulation results show that a high capacity and short delay time in finding an appropriate channel can be obtained. Furthermore, a higher capacity can be obtained by introducing quality based power control into this algorithm.

关键词： Partitioning algorithms Proposals Power control Microcell networks Broadcasting computer science Power engineering and energy systems engineering and theory Telephony Algorithm design and analysis

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Direct conversion receiver for 2- and 4-level FSK signals

Direct conversion receiver for 2- and 4-level FSK signals

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International Conference on Universal Personal Communications

作者： M. Saitou M. Kawabata Y. Akaiwa Department of Computer Science and Electronics Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan

Direct conversion (DC) receivers are suitable for integrated circuit implementation. In this report, DC receivers for 2- and 4-level FSK signals are proposed and its BER performance is investigated with computer simulation. For FSK signals, a difference of baseband signal level appears as a difference in a velocity of rotation on IQ-plane. In the proposed circuits, this difference in the velocity is detected with differential circuits and logic circuits such as flip-flop, counter and so on. Performance under frequency offset is also investigated and a compensation method for the frequency offset is proposed.

关键词： Frequency shift keying Baseband Signal detection Logic circuits RF signals Modulation Detectors computer science Bit error rate computer simulation

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BONSAI Garden: Parallel Knowledge Discovery system for Amino Acid Sequences

BONSAI Garden: Parallel Knowledge Discovery System for Amino...

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3rd International Conference on Intelligent systems for Molecular Biology, ISMB 1995

作者： Shoudai, T. Lappe, M. Miyano, S. Shinohara, A. Okazaki, T. Arikawa, S. Uchida, T. Shimozono, S. Shinohara, T. Kuhara, S. Department of Physics Kyushu University 01 Ropponmatsu Fukuoka810 Japan FB Mathematik-Informatik Universität-GH-Paderborn PaderbornD-33095 Germany Rsearch Institute of Fundamental Informaetion Science Kyushu University 33 Fukuoka812 Japan Department of Information Science Hiroshima City University Hiroshima731-31 Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Iizuka820 Japan Graduate School of Genetic Resources Technology Kyushu University Fuknoka812-81 Japan

ISBN: (纸本)0929280830

We have developed a machine discovery system BONSAI which receives positive and negative examples as inputs and produces as a hypothesis a pair of a decision tree over regular patterns and an alphabet indexing. This system has succeeded in discovering reasonable knowledge on transmembrane domain sequences and signal peptide sequences by computer experiments. However, when several kinds of sequences are mixed in the data, it does not seem reasonable for a single BONSAI system to find a hypothesis of a reasonably small size with high accuracy. For this purpose, we have designed a system BONSAI Garden, in which several BONSAI's and a program called Gardener run over a network in parallel, to partition the data into some number of classes together with hypotheses explaining these classes accurately. © 1995, AAAI (***). All rights reserved.

关键词： Decision trees

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An interactive analysis of large scale multi-spectral images using a Hilbert curve

An interactive analysis of large scale multi-spectral images...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： M. Niimi S. Kamata E. Kawaguchi Computer Science and Control Engineering Course Nagasaki Institute of Applied Science Nagasaki Japan Faculty of Engineering Kyushu Institute of Technology South Korea

There have been some new developments of an interactive analysis for the multi-spectral images. Recently the authors have proposed an interactive analysis method for classification using a Hilbert curve which is a one-to-one mapping and takes a neighborhood between N-dimensional space and one-dimensional space into consideration. In order to analyze large scale multi-spectral images, the authors divide a large scale image into subimages which can be analyzed using their proposed method. A problem is that after classifying one of the subimages, how they classify the rest of the subimages using this result effectively. They present a solution of this problem using a tree structure expression. They assign a reliability measure to each pixels on the rest. The reliability measure is based on a distance from a center of a cluster, and the center is considered occurrence information. For the low reliable data, they apply their interactive analysis method for classification again. In the experiment using a LANDSAT image data, they confirmed the effectiveness of the reliability measure because category boundaries on the rest have lower reliability.

关键词： Image analysis Large-scale systems Multispectral imaging Remote sensing Space technology Satellites Hypercubes computer science Control engineering Displays

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Frequency shaping of a hydraulic speaker using H/sub /spl infin// control theory

Frequency shaping of a hydraulic speaker using H/sub /spl in...

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American Control Conference (ACC)

作者： T. Fujii T. Tsujino T. Sugano H. Kitayama M. Hayahi N. Shikano Department of Control Engineering and Science Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan Ishikawajima-Harima Heavy Industries Company Limited Japan

Designs a control system for shaping the low frequency characteristics of a new type of hydraulic speaker, so as to-make a louder sound at low frequencies than the usual type of speaker. In this design, the authors use H/sub /spl infin// control design method, which is capable of treating both frequency shaping and robust stabilization. The authors also illustrate the validity of the resulting controller by showing some experimental results.

关键词： Frequency Control theory Loudspeakers Control systems Shape control Servomechanisms Valves Acceleration Pistons Actuators

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Mainsteam Temperature Raising Control for a Thermal Power Plant via MRACS Based on a Quick Identification Method

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IFAC Proceedings Volumes 1995年第13期28卷 191-196页

作者： K. Inoue K. Kumamaru H. Nakamura Kyushu Institute of Technology Department of Control Engineering and Science Faculty of Computer Science and Systems Engineering Iizuka Fukuoka 820. Japan Bailey Japan Co. Ltd. Nirayama Shizuoka. 410-21 Japan

In this paper an adaptive way of mainsteam temperature control is proposed for a thermal power plant at the ramping stage. A physical model of the super-heater system is built up based on the experimental knowledge on actual thermal power plants. The model yields a continuous time nonlinear system with several unknown varying parameters. A quick identification method is Introduced to estimate online the model parameters. The identified model is used for designing a control signal to raise the mainsteam temperature at the outlet of the super- heater along a reference curve. In this way, an adaptive control of thermal power plant can be realized in the framework of MRACS. The effectiveness of the method has been confirmed through simulation studies.

关键词： Nonlinear systems parameter estimation system identification model reference adaptive control thermal power plant

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A new method for parameter estimation in the NARMAX model using neural computation

A new method for parameter estimation in the NARMAX model us...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： H. Shindou M. Noshiro Y. Fukuoka M. Ishikawa H. Minamitani Faculty of Science and Technology Keio University Yokohama Kanagawa Japan School of Allied Health Sciences Kitasato University Kanagawa Japan Institute for Medical and Dental Engineering Tokyo Medical and Dental University Tokyo Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan

This work shows a new method for parameter estimation in the NARMAX (Non-linear AutoRegressive Moving Average with eXogenous inputs) model using neural computation. A three-layered feedforward neural network is trained to describe a system. The actual input of the system and the computed output of the network are used as the input data set of the network for training. Parameters in the NARMAX model are calculated from the values of weights and the sigmoid functions in neural units expanded in a series by Maclaurin's formula. The structure of the NARMAX model is finally determined by the Baysian information criteria. The proposed method, therefore, requires no prior knowledge of the structure of the NARMAX model.

关键词： Parameter estimation Computational modeling Neural networks computer networks Feedforward neural networks Dentistry Biomedical engineering Intelligent networks computer science systems engineering and theory

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Shape and model from specular motion

Shape and model from specular motion

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International Conference on computer Vision (ICCV)

作者： Jiang Yu Zheng Y. Fukagawa N. Abe Fac. of Comput. Sci. & Syst. Electron. Kyushu Inst. of Technol. Fukuoka Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology Fukuoka Japan

This work investigates visual characteristics of specular surfaces during rotation, and gives approaches to qualitatively identify and quantitatively recover shapes of these surfaces. Continuous images are taken when an object rotates. We look at specularly reflected patterns on the surfaces and their motion in the EPIs parallel to the rotation plane, from which estimation of each surface point and construction of the object model are carried out. We find very simple and direct methods to fulfill this objective; linear equations for multiple lights illumination, and a 1st-order differential equation for single light illumination. The motion of specular reflection has nice global characteristics in EPI. The surface types range from very shiny metal surfaces to surfaces with only week specular reflectance. We give both simulation and experiments on real objects.< >

关键词： Reflectivity Surface texture Cameras Equations Optical reflection Motion estimation Lighting Shape measurement computer science systems engineering and theory

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