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Development of Vital Sign Sensor by Using Fiber-optics

Journal of Robotics and Mechatronics 2000年第3期12卷 286-291页

作者： Toba, Eiji Shimada, Takahiro Kamoto, Tuyoshi Nishimatsu, Toyonori Ishizawa, Hiroaki Department of Textile System Engineering Faculty of Science and Technology Shinshu University 3-15-1 Tokida Ueda City Japan

The main aim of this paper is to present a new sensing method of vital sign for simultaneously monitoring heart and respiratory rates. A new method, which uses a fiber-optic probe to monitor heart and respiratory rates simultaneously, has been developed and discussed. As a result, measurement accuracy of this sensor is ±1.50bpm in heart rates and ±0.93bpm in respiratory rates. A new type of health monitoring vital sign sensor can be used at hospital as well as in other environments, and the method is convenient to use. © 2000, Fuji technology Press. All rights reserved.

关键词： Fiber optics

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ANN (artificial neural network) drive controller of space vector modulation increasing the performance of the induction motor and ensuring harmonic reduction

ANN (artificial neural network) drive controller of space ve...

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SICE Annual Conference

作者： K. Gulez H. Watanabe F. Harashima K. Ohnishi H. Pastaci Department Electronic Systcms enginccring Tokyo Metropolitan Institute of Technology Tokyo Japan Electrical Electronics Faculty electrical engineering Department Yildiz technical University Istanbul Turkey Faculty of Science and Technology depart. of System Design engineering Keio University Yokohama Japan

Control systems have assumed an increasingly important role in the development and advancement of modern civilization and technology. Practically, every aspect of day-to-day activities is affected by some type of control system. Thus, the space-vector technique has become a popular pulse width technique (PWM) for three-phase inverters in applications such as control of AC induction and permanent-magnet synchronous motors. Digital control structures eliminate drifts, solve complex mathematical equations and by using a programmable processor, they can be easily upgraded for new control algorithms. Digital signal processors (DSPs) go further; their high performance allows them to perform high resolution control and minimize control loop delays. These technological improvements supported by artificial neural networks (ANN) have enabled the development of really effective AC drive control with ever lower power dissipation hardware and ever more accurate control structures.

关键词： Artificial neural networks Pulse width modulation inverters Space technology Control systems Space vector pulse width modulation Pulse inverters Synchronous motors Digital control Equations Signal processing algorithms

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design of a HONN (high order neural network) by using a DSP based system for the performance increasing of an induction motor under changeable load

Design of a HONN (high order neural network) by using a DSP ...

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作者： Gulez, K. Mutoh, N. Harashima, F. Ohnishi, K. Pastaci, H. Tokyo Metropolitan Institute of Technology Department of Electronic Systems Engineering 6-6 Asahigaoka Hino-ShiTokyo191-0065 Japan Keio University Dept. of System Design Engineering 3-14-1 Hiyoshi Kohoku-ku Yokohama223-8522 Japan Yýldýz Technical University Electrical-Electronics Faculty Electrical Engineering Department BeiktaÝstanbul80750 Turkey

Motor drives are traditionally designed with relatively inexpensive analog components. The weaknesses of analog systems are their susceptibility to temperature variations and the component aging. Another difficulty is upgrading the system for new needs. Digital control structures eliminate drifts, solve complex mathematical equations and, by using a programmable processor, can be easily upgraded for new control algorithms. Digital signal processors (DSP) go further;their high performance allows them to perform high resolution control and minimize control loop delays. By the help of their fast processor which works parallel, many complicated control algorithms can be implemented easily. With the importance of digital control structures, it was used a TMS320C50 processor board to implement the dynamic speed controller to induction motor. Also, it was used to increase the performance a HONN (high order neural network) structure in the ANN (artificial neural network) architecture in a very short time. © 2000 IEEE.

关键词： Digital signal processors

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Restoration from multiframe blurred images based on stochastic image models

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systems and Computers in Japan 2000年第9期31卷 18-27页

作者： Fujimoto, Koji Fujita, Kazuhiro Yoshida, Yasuo KDK Corporation Kyoto 601-8045 Japan Department of Electronics and Information Science Faculty of Engineering and Design Kyoto Institute of Technology Kyoto 606-8585 Japan

Many studies about restoring blurred images have been performed. But most of them dealt with restoration of one blurred image. However, when the object is observed several times, the restored image using the several observed images is better than the restored images using each observed image. Therefore, this paper proposes a method of restoring the several observed images of the same object. The following three processes are necessary in order to obtain a good restored image: (1) estimating the parameters of both blur process and original image model, (2) restoring via the estimated parameters, and (3) adjusting the position between the observed images. This paper deals with out-of-focus blurred images. The parameters of the blurred images are estimated by means of the characteristic of the discrete cosine transform (DCT) spectrum, and the parameters of the original image model are estimated by fitting the auto-covariance function of the original image model to the sample autocovariance function of the blurred image. The iterative restoring method is derived based on the Bayes rule. In our computer simulation of both blurred images, which are generated by known blur process, and the real out-of-focus blurred images, the restored images using the several blurred images are satisfactory because the restoration using several blurred images compensates for the lost information of the images. These results are explained by the DCT spectrum.

关键词： Image reconstruction

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Constraint satisfaction on dynamic environments by the means of coevolutionary genetic algorithms

Constraint satisfaction on dynamic environments by the means...

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Annual Conference of Industrial Electronics Society

作者： H. Handa O. Katai T. Konishi M. Baba Department of Information Technology Faculty of Engineering Okayama University Okayama Japan Department of System Science Graduate School of Informatics Kyoto University Kyoto Japan

We discuss adaptability of evolutionary computations in dynamic environments. We introduce two classes of dynamic environments which are utilizing the notion of constraint satisfaction problems: changeover and gradation. The changeover environment is a problem class which consists of a sequence of the constraint networks with the same nature. On the other hand, the gradation environment is a problem class which consists of a sequence of the constraint networks such that the sequence is associated with two constraint networks, i. e., initial and target, and all constraint networks in the sequence metamorphosis from the initial constraint network to the target constraint network. We compare coevolutionary genetic algorithms with SGA in computational simulations. Experimental results on the above dynamic environments confirm us the effectiveness of our approach, i.e., coevolutionary genetic algorithm.

关键词： Genetic algorithms Stochastic processes Cultural differences Information technology Informatics Decision making Environmental economics Game theory Evolutionary computation Problem-solving

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Speech recognition using stochastic phonemic segment model based on phoneme segmentation

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systems and Computers in Japan 2000年第10期31卷 89-98页

作者： Furuichi, Chieko Aizawa, Katsura Inoue, Kazuhiko Faculty of Engineering Toin University of Yokohama 1614 Kurogane Midori Yokohama 225-8502 Japan Department of Physics Faculty of Science Ochanomizu Women's University Res. Lab. of Precision Engineering Tokyo Institute of Technology Dept. of Control System Engineering Faculty of Engineering Toin Yokohama University Acoustic Society of Japan Department of Control Systems Faculty of Engineering Toin Yokohama University

This paper discusses speech recognition based on a new statistical phoneme segment model which is trained by phoneme parameters derived from automatically extracted phoneme segments. The proposed system operates as follows. In preprocessing before recognition, the phoneme boundaries are detected by segmentation. The phonemes are discriminated using a stochastic phoneme segment model, and a phoneme segment lattice with scores is constructed. Next the speech recognition is performed by matching of symbol sequences to dictionary items. The segmentation system that is employed can infer phoneme boundaries with high accuracy. This helps to eliminate unnecessary parameters, leaving the feature parameters which are effective in separating phonemes. In other words, the phoneme recognition problem in continuous speech can be reduced to a discrimination problem and thus a speaker-independent model can be constructed from a relatively small number of training data. The stochastic phoneme segment model is trained with training samples extracted from a phoneme-balanced word set of 4920 words uttered by 10 speakers. In a recognition experiment with 6709 words uttered by 63 nontraining speakers, a recognition rate of 92.6% was obtained as the average for all speakers, using a word dictionary of 212 words.

关键词： Speech recognition

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design of a HONN (high order neural network) by using a DSP based system for the performance increasing of an induction motor under changeable load

Design of a HONN (high order neural network) by using a DSP ...

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Annual Conference of Industrial Electronics Society

作者： K. Gulez N. Mutoh F. Harashima K. Ohnishi H. Pastaci Department of Electronic Systems Engineering Tokyo Metropolitan Institute of Technology Hino Tokyo Japan Dept. of System Design Engineering Keio University Yokohama Japan Electrical Engineering Department Electrical-Electronics Faculty Yýldýz Technical University Istanbul Turkey

Motor drives are traditionally designed with relatively inexpensive analog components. The weaknesses of analog systems are their susceptibility to temperature variations and the component aging. Another difficulty is upgrading the system for new needs. Digital control structures eliminate drifts, solve complex mathematical equations and, by using a programmable processor, can be easily upgraded for new control algorithms. Digital signal processors (DSP) go further; their high performance allows them to perform high resolution control and minimize control loop delays. By the help of their fast processor which works parallel, many complicated control algorithms can be implemented easily. With the importance of digital control structures, it was used a TMS320C50 processor board to implement the dynamic speed controller to induction motor. Also, it was used to increase the performance a HONN (high order neural network) structure in the ANN (artificial neural network) architecture in a very short time.

关键词： Neural networks Digital signal processing Artificial neural networks Digital control Signal processing algorithms Motor drives Temperature Aging Equations Digital signal processors

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High speed and precise ablation etching of wide band gap GaN semiconductor using high-intensity femtosecond laser

High speed and precise ablation etching of wide band gap GaN...

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IEEE Photonics Conference (IPC)

作者： K. Ozono M. Obara A. Usui H. Sunakawa Department of Electronics and Electrical Engineering Faculty of Science arid Technology Keio University Yokohama Japan Photonic and Wireless Devices Research Laboratories System Devices and Furidamental Research NEC Corporation Limited Tsukuba Ibaraki Japan

We report on the demonstration of precise and high-speed ablation etching of GaN films using high-intensity femtosecond laser at 800 nm. This ablation etching process is based on the two-photon absorption process of t... 详细信息

关键词： Wideband Gallium nitride Laser ablation X-ray lasers Dry etching Surface emitting lasers Absorption Optical pulses Ultrafast electronics Laser theory

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Alignment of liquid crystals on a photosensitive substrate studied by surface optical second-harmonic generation

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Physical Review E 2000年第4期61卷 R3310(R)-R3310(R)页

作者： I. Drevenšek Olenik M. W. Kim A. Rastegar Th. Rasing Faculty of Mathematics and Physics University of Ljubljana Jadranska 19 SI 1000 Ljubljana SloveniaJ. Stefan’ Institute Jamova 39 SI 1001 Ljubljana Slovenia Research Institute for Materials University of Nijmegen Toernooiveld 1 6525 ED Nijmegen The Netherlands Department of Advanced Materials Engineering Korea Advanced Institute of Science and Technology Seoul Korea Nijmegen SON Research Institute for Molecular Structures Design and Synthesis University of Nijmegen Toernooiveld 1 6525 ED Nijmegen The Netherlands

The adsorption kinetics and orientational ordering of 4′−n−octyl−4-cyanobiphenyl (8CB) liquid crystal films evaporated onto photosensitive poly(vinyl-cinnamate) (PVCN) substrates were investigated by surface optical second-harmonic generation. The adsorption rate of the first monolayer decreases with increasing degree of photochemical modification of the polymer. The in-plane orientational anisotropy of the 8CB films grown on unidirectionally photopolymerized PVCN substrates is considerably lower than the intrinsic surface orientational anisotropy of these substrates, which can explain the generally found weak surface anchoring of liquid crystals on PVCN alignment layers.

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Periodicity of TeV gamma-ray emissions from Mrk501

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AIP Conference Proceedings 2000年第1期515卷 134-138页

作者： S. Hayashi D. Nishikawa N. Chamoto M. Chikawa Y. Hayashi N. Hayashida K. Hibino H. Hirasawa K. Honda N. Hotta N. Inoue F. Ishikawa N. Ito S. Kabe F. Kajino T. Kashiwagi S. Kakizawa S. Kawakami Y. Kawasaki N. Kawasumi H. Kitamura K. Kuramochi E. Kusano H. Lafoux E. C. Loh K. Mase T. Matsuyama K. Mizutani Y. Morizane M. Nagano J. Nishimura T. Nishiyama M. Nishizawa T. Ouchi H. Ohoka M. Ohnishi S. Osone To. Saito N. Sakaki M. Sakata M. Sasano H. Shimodaira A. Shiomi P. Sokolsky T. Takahashi S. F. Taylor M. Takeda M. Teshima R. Torii M. Tsukiji Y. Uchihori T. Yamamoto Y. Yamamoto K. Yasui S. Yoshida H. Yoshii T. Yuda 2Department of Physics Konan University Kobe 658-8501 Japan 10Department of Physics Kobe University Kobe 657-8501 Japan 1Institute for Cosmic Ray Research University of Tokyo Tokyo 188-8502 Japan 3Department of Physics Kinki University Osaka 577-8502 Japan 4Department of Physics Osaka City University Osaka 558-8585 Japan 5Faculty of Engineering Kanagawa University Yokohama 221-8686 Japan 6Faculty of Education Yamanashi University Kofu 400-8510 Japan 7Faculty of Education Utsunomiya University Utsunomiya 320-8538 Japan 8Department of Physics Saitama University Urawa 338-8570 Japan 9High Energy Accelerator Research Organization (KEK) Tsukuba 305-0801 Japan 19Department of Physics Shinshu University Matsumoto 390-8621 Japan 16National Institute of Radiological Sciences Chiba 263-8555 Japan 11Faculty of Science and Technology Meisei University Tokyo 191-8506 Japan 12Department of Physics University of Utah Utah 84112 18Department of Applied Physics and Chemistry Fukui University of Technology Fukui 910-8505 Japan 13Yamagata Academy of Technology Yamagata 993-0021 Japan 14National Center for Science Information System Tokyo 112-8640 Japan 15Tokyo Metropolitan College of Aeronautical Engineering Tokyo 116-0003 Japan 17Department of Physics Ehime University Matsuyama 790-8577 Japan

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