Updated on 2024/03/30

写真a

 
ITO,Hidetaka
 
Organization
Faculty of Engineering Science Professor
Title
Professor
Homepage
http://www.enzan.ee.kansai-u.ac.jp/~ito/index.html
External link

Degree

  • 工学修士

  • Master of Science ( University of Surrey )

  • 博士（工学）

Research Areas

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Control and system engineering

  • Informatics / Computational science

  • Informatics / Intelligent informatics

  • Informatics / Soft computing

Education

  • Kyoto University   Graduate School, Division of Engineering

    - 1994

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  • Kyoto University   Faculty of Engineering

    - 1988

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    Country： Japan

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  • Kyoto University   Graduate School, Division of Engineering

    1994

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    Country： Japan

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Research History

  • 本学在外研究員（デンマーク工科大学）

    2003.4 - 2004.3

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  • 同助教授

    2002.4

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  • 同専任講師

    1999.4

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  • 本学工学部助手

    1994.4

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Professional Memberships

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Committee Memberships

  • システム制御情報学会   会誌・論文誌編集委員  

    2008.5 - 2010.5   

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  • 電子情報通信学会   基礎・境界ソサイエティ会計幹事  

    2008.5 - 2010.5   

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  • 電気学会   関西支部会計幹事  

    2007.4 - 2009.4   

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Papers

  • Mixed-mode oscillations from a constrained extended Bonhoeffer-van der Pol oscillator with a diode Reviewed

    N. Inaba, T. Kousaka, T. Tsubone, H. Okazaki, H. Ito

    Chaos   vol.31, no.7, 073133 (17 pages)   2021.7

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  • Dynamic gesture recognition system with gesture spotting based on self-organizing maps Reviewed

    H. Hikawa, Y. Ichikawa, H. Ito, Y. Maeda

    Applied Sciences   vol.11, no.4, 1933 (14 pages)   2021.2

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  • Successive nested mixed-mode oscillations Reviewed

    H. Ito, N. Inaba, H. Okazaki

    Nonlinear Theory and Its Applications, IEICE   vol.12, no.1, pp.88-102   2021.1

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  • A numerical framework for designing periodic orbits embedded in chaotic attractors Reviewed

    H. Ito, H. Hikawa, Y. Maeda

    Nonlinear Theory and Its Applications, IEICE   vol.10, no.2, pp.256-267   2019.4

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  • A subspace Newton-type method for approximating transversely repelling chaotic saddles Reviewed

    H. Ito, H. Hikawa, Y. Maeda

    IEICE Transactions on Fundamentals   vol.E101-A, no.7, pp.1127-1131   2018.7

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  • SOM-based vector recognition with pre-grouping functionality

    Yuto Kurosaki, Masayoshi Ohta, Hidetaka Ito, Hiroomi Hikawa

    IEICE Transactions on Information and Systems   E101D ( 6 )   1657 - 1665   2018.6

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：Institute of Electronics, Information and Communication, Engineers, IEICE  

    This paper discusses the effect of pre-grouping on vector classification based on the self-organizing map (SOM). The SOM is an unsupervised learning neural network, and is used to form clusters of vectors using its topology preserving nature. The use of SOMs for practical applications, however, may pose difficulties in achieving high recognition accuracy. For example, in image recognition, the accuracy is degraded due to the variation of lighting conditions. This paper considers the effect of pre-grouping of feature vectors on such types of applications. The proposed pre-grouping functionality is also based on the SOM and introduced into a new parallel configuration of the previously proposed SOM-Hebb classifers. The overall system is implemented and applied to position identification from images obtained in indoor and outdoor settings. The system first performs the grouping of images according to the rough representation of the brightness profile of images, and then assigns each SOM-Hebb classifier in the parallel configuration to one of the groups. Recognition parameters of each classifier are tuned for the vectors belonging to its group. Comparison between the recognition systems with and without the grouping shows that the grouping can improve recognition accuracy.

    DOI： 10.1587/transinf.2017EDP7198

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  • Complete mixed-mode oscillation synchronization in weakly coupled nonautonomous Bonhoeffer-van der Pol oscillators Reviewed

    N. Inaba, H. Ito, K. Shimizu, H. Hikawa

    Progress of Theoretical and Experimental Physics   vol.2018, iss.6, 063A01 (15 pages)   2018.6

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  • Off-chip training with additive perturbation for FPGA-based hand sign recognition system

    Hiroomi Hikawa, Masayuki Tamaki, Hidetaka Ito

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences   E101A ( 2 )   499 - 506   2018.2

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：Institute of Electronics, Information and Communication, Engineers, IEICE  

    An FPGA-based hardware hand sign recognition system was proposed in our previous work. The hand sign recognition system consisted of a preprocessing and a self-organizing map (SOM)-Hebb clas- sifier. The training of the SOM-Hebb classifier was carried out by an off-chip computer using training vectors given by the system. The recog- nition performance was reportedly improved by adding perturbation to the training data. The perturbation was added manually during the process of image capture. This paper proposes a new off-chip training method with automatic performance improvement. To improve the system's recognition performance, the off-chip training system adds artificially generated pertur- bation to the training feature vectors. Advantage of the proposed method compared to additive scale perturbation to image is its low computational cost because the number of feature vector elements is much less than that of pixels contained in image. The feasibility of the proposed off-chip training was tested in simulations and experiments using American sign language (ASL). Simulation results showed that the proposed perturbation compu- tation alters the feature vector so that it is same as the one obtained by a scaled image. Experimental results revealed that the proposed off-chip training improved the recognition accuracy from 78.9% to 94.3%.

    DOI： 10.1587/transfun.E101.A.499

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  • Statistical mechanics of on-line learning using correlated examples and its optimal scheduling Reviewed

    T. Fujii, H. Ito, S. Miyoshi

    Journal of the Physical Society of Japan   vol.86, no.8, 084804 (5 pages)   2017.7

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  • Statistical-mechanical analysis connecting supervised learning and semi-supervised learning Reviewed

    T. Fujii, H. Ito, S. Miyoshi

    Journal of the Physical Society of Japan   vol.86, no.6, 063801 (4 pages)   2017.5

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  • Statistical-mechanical analysis of semi-supervised learning Reviewed

    T. Fujii, H. Ito, S. Miyoshi

    Journal of the Physical Society of Japan   vol.85, no.8, 084802 (6 pages)   2016.7

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  • Effect of Grouping in Vector Recognition System Based on SOM Reviewed

    Masayoshi Ohta, Yuto Kurosaki, Hidetaka Ito, Hiroomi Hikawa

    PROCEEDINGS OF 2016 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI)   2016

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    Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

    This paper discusses effect of grouping on vector classifiers that are based on self-organising map (SOM). The SOM is an unsupervised learning neural network, and is used to form clusters using its topology preserving nature. Thus it is used for various pattern recognition applications. In image recognition, recognition accuracy is degraded under difficult lighting conditions. This paper proposes a new image recognition system that employs a grouping method. The proposed system does the grouping of vectors according to their brightness, and multiple vector classifiers are assigned to every groups. Recognition parameters of each classifier are tuned for the vectors belonging to its group. The proposed method is applied to position identification from images obtained from an on-board camera on a mobile robot. Comparison between the recognition systems with and without the grouping shows that the grouping can improve recognition accuracy.

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  • Real Time Gesture Recognition System with Gesture Spotting Function Reviewed

    Yuta Ichikawa, Shuji Tashiro, Hidetaka Ito, Hiroomi Hikawa

    PROCEEDINGS OF 2016 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI)   2016

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    Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE  

    A real-time dynamic hand gesture recognition system with gesture spotting is discussed in this paper. The gesture spotting detects the start and the end of the gesture frames. The system consists of preprocessing, posture sequence generation, and SOM-Hebb network. Feature vectors are computed by the preprocessing from video frames taken by a USB camera in real time, and these feature vectors are fed to the posture sequence generation and a vector that represents the sequence of postures, called a posture sequence vector, is generated. Then, gesture classification and the gesture spotting are performed in the SOM-Hebb network. Our gesture spotting function detects the end of the gesture by using vector distance between the posture sequence vector and the winner neuron's weight vector. The gesture recognition algorithm is implemented on a PC. A USB camera was used to acquire live images. The real time experimental results show that the system recognizes nine gestures with the accuracy of 96.22%.

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  • Investigation of the relevance between an electronic courseware implementation and students' learning styles Reviewed

    A. Kumamoto, H. Ito

    Journal of Measurement Science and Instrumentation   vol.1, no.3, pp.262-266   2010.9

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  • 構成要素のレイアウト情報を用いたカラー文書画像の方位検出 Reviewed

    泉井宏之, 伊藤秀隆, 隈元 昭

    電気学会論文誌C   vol.122-C, no.2, pp.242-248   2002.2

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  • Chaotic multidomain oscillations in a spatially-extended semiconductor device

    H Ito, Y Ueda

    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES   E84A ( 11 )   2908 - 2914   2001.11

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG  

    Spatiotemporal chaos in a multidomain regime in a Gunn-effect device is numerically investigated as an example of collective domain oscillations under global constraints. The dynamics of carrier densities are computed using a set of model partial differential equations. Numerical results reveal some distinctive and chaotic clustering features caused by the global coupling and boundary effects. The chaotic regime is then characterized in terms of a Lyapunov spectrum and Lyapunov dimension, the latter increasing with the size of the system.

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  • Emergence of a multidomain regime and spatiotemporal chaos in Gunn diodes under impact ionization conditions

    H Ito, Y Ueda

    PHYSICS LETTERS A   280 ( 5-6 )   312 - 317   2001.3

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：ELSEVIER SCIENCE BV  

    Nonlinear spatiotemporal dynamics of carrier densities in Gunn diodes under impact ionization conditions is numerically investigated using a set of model partial differential equations. Numerical results show that a multidomain regime emerges as a result of the decrease in domain size caused by impact ionization, and that the spatiotemporal evolution of the domains becomes chaotic in the presence of strong impact ionization. (C) 2001 Published by Elsevier Science B.V.

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  • 複数の力学系軌道を用いた大域的最適化における相互作用の効果に関する数値的検討 Reviewed

    森川貴展, 伊藤秀隆, 隈元 昭

    電気学会論文誌C   vol.120-C, no.11, pp.1580-1586   2000.11

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  • Adaptive query expansion based on clustering search results Reviewed

    K. Eguchi, H. Ito, A. Kumamoto, Y. Kanata

    Transactions of Information Processing Society of Japan   vol.40, no.5, pp.2439-2449   1999.5

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  • 漸次的に拡張されたクエリを用いた適応的文書クラスタリング法 Reviewed

    江口浩二, 伊藤秀隆, 隈元 昭, 金田彌吉

    電子情報通信学会論文誌D-I   vol.J82-D-I, no.1, pp.140-149   1999.1

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  • Adaptive and incremental query expansion for cluster-based browsing Reviewed

    K Eguchi, H Ito, A Kumamoto, Y Kanata

    6TH INTERNATIONAL CONFERENCE ON DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PROCEEDINGS   25 - 34   1999

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    Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：IEEE COMPUTER SOC  

    In this paper, we propose a new method of information retrieval which combines adaptive and incremental query expansion with cluster-based browsing. The proposed method attempts to accurately learn users' interests from their relevance judgments on clustered search results instead of individual documents, reducing users' loads for the judgments. The use of adaptive relevance feedback leads to the capability for tracking vague or dynamically shifting goals of users. Incrementally expanded and refined queries can be used in re-searching to improve the retrieval effectiveness. We apply the proposed method to the information retrieval on the World Wide Web and demonstrate its effectiveness through basic experiments.

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  • 複数地図の照合による道路情報抽出 Reviewed

    赤木幸知, 伊藤秀隆, 隈元 昭

    電気学会論文誌C   118巻12号   1998.12

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  • Locating fold bifurcation points using subspace shooting

    H Ito, A Kumamoto

    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES   E81A ( 9 )   1791 - 1797   1998.9

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    Language：English   Publishing type：Research paper (scientific journal)   Publisher：IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG  

    A numerical method is proposed for efficiently locating fold bifurcation points of periodic orbits of high-dimensional differential-equation systems. This method is an extension of the subspace shooting method (or the Newton-Picard shooting method) that locates periodic orbits by combining the conventional shooting method and the brute-force method. Fold bifurcation points are located by combining a variant of the subspace shooting method with a fixed parameter value and the secant method for searching the parameter value of the bifurcation point. The target in the subspace-shooting part is an (not necessarily periodic) orbit represented by a Poincare mapping point which is close to the center manifold and satisfies the eigenvalue condition for the bifurcation. The secant-search part finds the parameter value where this orbit becomes periodic. Avoiding the need for differentiating the Poincare map with respect to the bifurcation parameter and exploiting several properties of the center manifold, the proposed method is both robust and easy to implement.

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  • 書籍の輪郭情報に基づくコピー機の画像補正 Reviewed

    大削弘樹, 伊藤秀隆, 隈元 昭

    画像電子学会誌   vol.27, no.4, pp.397-404   1998.8

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  • ユーザへの適応性を考慮した適合フィードバックによるWWW情報検索 Reviewed

    江口浩二, 伊藤秀隆, 隈元 昭

    電気学会論文誌C   117巻11号 pp1643-1649   1997.11

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  • 空間自由度をもつ強制自励振動系における分岐現象 Reviewed

    伊藤秀隆, E. Mosekilde, 上田睆亮

    電気学会論文誌A   113巻5号 pp.365-371   1993.5

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MISC

  • Adaptive document clustering using incrementally expanded queries

    Koji Eguchi, Hidetaka Ito, Akira Kumamoto, Yakichi Kanata

    Systems and Computers in Japan   32 ( 2 )   64 - 74   2001.2

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    Language：English  

    This paper describes a method of increasing the effectiveness of browsing by clustering large numbers of information retrieval results, and discusses the implementation of adaptive document clustering. In the proposed method, query information is successively expanded and refined in the course of browsing, and it is utilized as a clustering viewpoint that expresses the interests of the user. The proposed method is experimentally evaluated in an application to WWW information retrieval and its effectiveness is demonstrated. © 2001 Scripta Technica.

    DOI： 10.1002/1520-684X(200102)32:2<64::AID-SCJ7>3.0.CO;2-E

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Presentations

  • A synthesis method of spiking neural oscillators with considering asymptotic stability

    Y. Kuroe, S. Miyoshi, H. Hikawa, H. Ito, K. Motonaka, Y. Maeda

    2021 International Joint Conference on Neural Networks  2021.7 

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    Venue：Virtual event  

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  • A new hardware self-organizing map architecture with high expandability

    H. Hikawa, H. Ito, Y. Maeda

    Third IEEE International Conference on Image Processing, Applications and Systems  2018.12 

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    Venue：Sophia Antipolis, France  

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  • A new self-organizing map with continuous learning capability

    H. Hikawa, H. Ito, Y. Maeda

    2018 IEEE Symposium Series on Computational Intelligence  2018.11 

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    Venue：Bangalore, India  

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  • Hardware self-organizing map based on frequency-modulated signal and digital frequency-locked loop

    H. Hikawa, H. Ito, Y. Maeda

    2018 IEEE International Symposium on Circuits and Systems  2018.5 

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    Venue：Florence, Italy  

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  • 周波数変調パルスを用いたハードウェア自己組織化マップ

    肥川宏臣, 伊藤秀隆

    電子情報通信学会技術研究報告  2018.1 

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  • Continuous learning of the SOM with an adaptive neighborhood function

    H. Yoshimi, H. Ito, H. Hikawa

    2017 International Symposium on Nonlinear Theory and Its Applications  2017.12 

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    Venue：Cancun, Mexico  

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  • Winner-take-all neural network with distributed winner search circuit

    K. Hanada, S. Ueda, H. Ito, H. Hikawa

    2017 International Symposium on Nonlinear Theory and Its Applications  2017.12 

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    Venue：Cancun, Mexico  

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  • A numerical method for designing periodic orbits embedded in chaotic attractors

    H. Ito, H. Hikawa, Y. Maeda

    2017 International Symposium on Nonlinear Theory and Its Applications  2017.12 

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    Venue：Cancun, Mexico  

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  • Synchronization of mixed-mode oscillations from a two coupled driven Bonhoeffer-van der Pol oscillator

    K. Ogawa, N. Inaba, K. Shimizu, H. Ito, H. Hikawa, T. Endo

    2017 International Symposium on Nonlinear Theory and Its Applications  2017.12 

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    Venue：Cancun, Mexico  

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  • 適応型近傍関数を用いた自己組織化マップの学習特性

    吉見光, 伊藤秀隆, 肥川宏臣

    電子情報通信学会技術研究報告  2017.10 

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  • 強制BVP発振器の結合系に見られるmixed-mode振動の完全同期とMMO加算現象について

    小川勝弘, 稲葉直彦, 伊藤秀隆, 肥川宏臣, 清水邦康, 遠藤哲郎

    電子情報通信学会技術研究報告  2017.10 

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  • 同時摂動学習則を用いた多層ニューラルネットワークの研究

    尾上研二, 伊藤秀隆, 肥川宏臣

    電子情報通信学会技術研究報告  2017.1 

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  • Real time gesture recognition system with gesture spotting function

    Y. Ichikawa, S. Tashiro, H. Ito, H. Hikawa

    2016 IEEE Symposium on Computational Intelligence in Feature Analysis, Selection, and Learning in Image and Pattern Recognition  2016.12 

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    Venue：Athens, Greece  

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  • Effect of grouping in vector recognition system based on SOM

    M. Ohta, Y. Kurosaki, H. Ito, H. Hikawa

    2016 IEEE Symposium on Computational Intelligence in Feature Analysis, Selection, and Learning in Image and Pattern Recognition  2016.12 

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    Venue：Athens, Greece  

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  • Gesture spotting by using vector distance of self-organizing map

    Y. Ichikawa, S. Tashiro, H. Ito, H. Hikawa

    23rd International Conference on Neural Information Processing  2016.10 

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    Venue：Kyoto Japan  

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  • A theoretical analysis of semi-supervised learning

    T. Fujii, H. Ito, S. Miyoshi

    23rd International Conference on Neural Information Processing  2016.10 

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    Venue：Kyoto, Japan  

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  • パルス結合自励振動系の同時摂動型パラメータ学習による波形生成

    鈴木淳平, 坂本達哉, 池本 陸, 伊藤秀隆, 前田 裕

    平成28年電気学会全国大会  2016.3 

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  • カオス生成テンプレートの変形とベクトル場学習による複数周期軌道の設計

    三宅一輝, 伊藤秀隆, 前田 裕

    平成27年電気関係学会関西連合大会  2015.11 

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  • 半教師あり学習の統計力学的解析と最適スケジューリング

    藤井隆史, 伊藤秀隆, 三好誠司

    第30回信号処理シンポジウム  2015.11 

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  • 連続時間カオス生成テンプレートの変形による所望の複数周期軌道の設計

    三宅一輝, 伊藤秀隆, 前田裕

    計測自動制御学会第52回システム工学部会研究会  2015.3 

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  • 結合自励振動系の同時摂動型パラメータ学習による波形生成

    鈴木淳平, 伊藤秀隆, 前田裕

    平成26年電気関係学会関西連合大会  2014.11 

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  • Waveform generation using simultaneous perturbationlearning of coupled oscillators

    H. Ito, J. Suzuki, Y. Maeda

    2014 CACS International Automatic Control Conference  2014.11 

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    Venue：Kaohsiung, Taiwan  

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  • 連続時間カオス生成テンプレートの構成と周期軌道の配置に関する検討

    三宅一輝, 伊藤秀隆, 前田裕

    平成26年電気関係学会関西連合大会  2014.11 

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  • Waveform generation using simultaneous perturbation learning of coupled oscillators

    H. Ito, J. Suzuki, Y. Maeda

    2014 CACS International Automatic Control Conference  2014.11 

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    Venue：Kaohsiung, Taiwan  

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  • アナログ回路による複素ニューロン演算の検討

    池端惇一, 前田裕, 伊藤秀隆

    計測自動制御学会システム・情報部門学術講演会2014  2014.11 

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  • 同時摂動学習則を用いた複素ニューラルネットワークによるＳＣＡＲＡロボットの制御

    藤原隆, 前田裕, 伊藤秀隆

    計測自動制御学会システム・情報部門学術講演会2014  2014.11 

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  • Robot control using high-dimensional neural networks

    Y. Maeda, T. Fujiwara, H. Ito

    SICE Annual Conference 2014  2014.9 

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    Venue：Sapporo, Japan  

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  • 連続時間カオス生成テンプレートを用いた複数周期軌道の数値的設計とその応用

    門田直樹, 三宅一輝, 伊藤秀隆, 前田 裕

    計測自動制御学会第41回知能システムシンポジウム  2014.3 

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  • Learning of inverse-kinematics for robot using high-dimensional neural networks

    T. Fujiwara, Y. Maeda, H. Ito

    SICE Annual Conference 2013  2013.9 

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    Venue：Nagoya, Japan  

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  • 連続時間カオス生成テンプレートを用いた複数周期軌道の数値的設計

    門田直樹, 伊藤秀隆, 前田 裕

    第23回インテリジェント・システム・シンポジウム  2013.9 

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  • Robot control using 2D visual information via database

    Y. Maeda, H. Ito

    The Second International Conference on Intelligent Systems and Applications  2013.4 

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    Venue：Venice, Italy  

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  • 連続時間カオス生成テンプレートを用いた周期軌道の数値的設計に関する検討

    門田直樹, 伊藤秀隆, 前田 裕

    計測自動制御学会第48回システム工学部会研究会  2013.3 

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  • カメラ動作を備えたHand-eye system

    横田崇博, 前田 裕, 伊藤秀隆

    平成24年電気関係学会関西連合大会  2012.12 

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  • 複素ニューラルネットワークのハードウェア化

    前田 裕, 安藤充弥, 伊藤秀隆

    計測自動制御学会第2回コンピューテーショナル・インテリジェンス研究会  2012.9 

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  • Simultaneous perturbation optimization method for adaptive control

    Y. Maeda, T. Suzuki, H. Ito

    Advances in Mathematical and Computational Methods  2012.9 

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    Venue：Sliema, Malta  

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  • 結合振動系を用いた動画像領域分割におけるカオス同期特性の解析と応用

    門田直樹, 伊藤秀隆, 隈元 昭, 前田 裕

    第22回インテリジェント・システム・シンポジウム  2012.8 

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  • Central pattern generator and its learning via simultaneous perturbation method

    Y. Maeda, A. Ito, H. Ito

    2012 International Joint Conference on Neural Networks  2012.6 

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    Venue：Brisbane, Australia  

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  • SOMによるポーズ分類を利用したジェスチャー認識

    高橋正典, 伊藤秀隆, 隈元 昭

    電子情報通信学会画像工学研究会  2012.4 

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  • Constructing continuous-time chaos-generating templates with desirably configured periodic orbits

    H. Ito, T. Furuoka, A. Kumamoto

    2011 International Conference on Informatics and Computational Intelligence  2011.12 

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    Venue：Bandung, Indonesia  

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  • 連続時間カオス生成テンプレートの構成と周期軌道の配置に関する検討(II)

    古岡達弥, 伊藤秀隆, 隈元 昭

    第54回自動制御連合講演会  2011.11 

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  • ハイパーカオスシステムに対する部分空間不動点反復法の収束特性に関する検討

    持田有将, 伊藤秀隆, 隈元 昭

    計測自動制御学会システム・情報部門学術講演会2011  2011.11 

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  • バックグラウンドプロセスを考慮した分散処理システムの処理時間予測

    安平庸人, 伊藤秀隆, 隈元 昭

    平成23年電気関係学会関西連合大会  2011.10 

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  • カオス的結合振動系を用いた領域分割における同期様態に関する検討

    柿本大輔, 伊藤秀隆, 隈元 昭

    第21回インテリジェント・システム・シンポジウム  2011.9 

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  • 部分空間不動点反復法によるハイパーカオスシステムの不安定周期軌道の探索(II)

    持田有将, 伊藤秀隆, 隈元 昭

    第55回システム制御情報学会研究発表講演会  2011.5 

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  • カオス的結合振動系を用いた領域分割におけるパラメータ設定に関する検討

    柿本大輔, 山本公章, 伊藤秀隆, 隈元 昭

    第55回システム制御情報学会研究発表講演会  2011.5 

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  • 連続時間カオス生成テンプレートの構成と周期軌道の配置に関する検討

    古岡達弥, 伊藤秀隆, 隈元 昭

    計測自動制御学会第38回知能システムシンポジウム  2011.3 

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  • USBカメラを用いたプレゼンテーション支援

    高橋正典, 山田翔平, 伊藤秀隆, 隈元 昭

    2011年電子情報通信学会総合大会  2011.3 

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  • 分散処理システムの処理時間の予測

    井上晃嗣, 伊藤秀隆, 隈元 昭

    2011年電子情報通信学会総合大会  2011.3 

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  • エンドユーザ利用を目的とした分散処理ポータルシステムの構築

    大川弘樹, 伊藤秀隆, 隈元 昭

    2011年電子情報通信学会総合大会  2011.3 

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  • 特異タスクを考慮したMPJ分散処理システムの検討

    名川秀夫, 伊藤秀隆, 隈元 昭

    2011年電子情報通信学会総合大会  2011.3 

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  • 連続時間カオス生成テンプレートの構成と変形に関する検討

    岡本真治, 伊藤秀隆, 隈元 昭

    平成22年電気関係学会関西連合大会  2010.11 

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  • 部分空間不動点反復法の切替えを用いた不安定周期軌道の逐次探索

    桑原克弥, 伊藤秀隆, 隈元 昭

    平成22年電気関係学会関西連合大会  2010.11 

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  • バックグラウンドプロセスを考慮した分散処理システムにおけるジョブの処理時間予測方法の検討

    安平庸人, 伊藤秀隆, 隈元 昭

    平成22年電気関係学会関西連合大会  2010.11 

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  • Globus Toolkitによるユーザ向け分散処理システムの構築

    大川弘樹, 伊藤秀隆, 隈元 昭

    平成22年電気関係学会関西連合大会  2010.11 

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  • E-learning support for students to generate questions originated from descriptions in course

    A. Kumamoto, H. Ito

    2010 IEEE International Conference on Software Engineering and Service Sciences  2010.7 

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    Venue：Beijing, China  

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  • Detecting unstable periodic orbits in hyperchaotic systems using subspace fixed-point iteration

    H. Ito, Y. Mochida, A. Kumamoto

    2nd International Conference on Smart IT Applications  2010.7 

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    Venue：Qingdao, China  

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  • Constructing continuous-time chaos-generating templates using polynomial approximation

    H. Ito, S. Okamoto, K. Fujimoto, A. Kumamoto

    24th European Conference on Modelling and Simulation  2010.6 

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    Venue：Kuala Lumpur, Malaysia  

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  • Globus Toolkitを用いたfork-join分散処理システムにおける処理時間の予測

    安平庸人, 伊藤秀隆, 隈元 昭

    第54回システム制御情報学会研究発表講演会  2010.5 

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  • 部分空間不動点反復法によるハイパーカオスシステムの不安定周期軌道の探索

    持田有将, 湯川宜則, 伊藤秀隆, 隈元 昭

    第54回システム制御情報学会研究発表講演会  2010.5 

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  • ベクトル場の関数近似によるカオス生成テンプレートの構成に関する検討

    古岡達弥, 藤本幸佑, 伊藤秀隆, 隈元 昭

    第54回システム制御情報学会研究発表講演会  2010.5 

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  • 帯域幅を考慮した分散処理システムにおけるホストのタスク処理

    井上晃嗣, 伊藤秀隆, 隈元 昭

    第54回システム制御情報学会研究発表講演会  2010.5 

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  • Convergence analysis of subspace fixed-point iteration for detecting unstable periodic orbits

    H. Ito, K. Kuwabara, Y. Yukawa, A. Kumamoto

    2009 CACS International Automatic Control Conference  2009.11 

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    Venue：Taipei, Taiwan  

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  • An investigation on constructing chaotic dynamics using polynomial approximation

    H. Ito, K. Fujimoto, Y. Obata, S. Nakano, A. Kumamoto

    14th International Congress of Cybernetics and Systems  2008.9 

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    Venue：Wroclaw, Poland  

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  • 細胞内カルシウムウェーブの伝播における分岐現象の解析

    中野嗣貴, 伊藤秀隆, 隈元 昭

    第50回システム制御情報学会研究発表講演会  2006.5 

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  • Web環境における学習支援システムの開発と検討

    加藤 賢, 伊藤秀隆, 隈元 昭

    電子情報通信学会技術研究報告  2005.3 

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  • 部分空間不動点反復法による高次元系の不安定周期軌道の探索

    水野洋二, 伊藤秀隆, 隈元 昭

    第46回自動制御連合講演会  2003.11 

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  • Detecting unstable periodic orbits in high-dimensional chaotic systems using subspace fixed-point iteration

    H. Ito, I. Wakabayashi, Y. Mizuno, A. Kumamoto

    4th Euromech Nonlinear Oscillations Conference  2002.8 

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    Venue：Moscow, Russia  

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  • Bifurcation analysis of periodically driven Gunn diodes

    H. Ito, I. Wakabayashi, A. Kumamoto, E. Mosekilde, Y. Ueda

    Applied Non-Linear Dynamics  2001.8 

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    Venue：Thessaloniki, Greece  

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  • Detecting unstable periodic orbits in chaotic systems using subspace fixed-point iteration

    H. Ito, M. Murakita, I. Wakabayashi, A. Kumamoto

    Progress in Nonlinear Science  2001.7 

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    Venue：Nizhny Novgorod, Russia  

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  • Locating unstable periodic orbits using subspace fixed-point iteration

    H. Ito, M. Murakita, A. Kumamoto

    2000 International Symposium on Nonlinear Theory and its Applications  2000.9 

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    Venue：Dresden, Germany  

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  • Distributed processing in upstream data retrieval for distance education

    Y. Tagami, H. Ito, A. Kumamoto

    7th International Conference on Computers in Education  1999.11 

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    Venue：Chiba, Japan  

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  • Search for unstable periodic orbits in normally repelling chaotic saddles using subspace shooting

    H. Ito, A. Kumamoto

    3rd European Nonlinear Oscillations Conference  1999.8 

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    Venue：Lyngby, Denmark  

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  • Adaptive and incremental query expansion for cluster-based browsing

    K. Eguchi, H. Ito, A. Kumamoto, Y. Kanata

    6th International Conference on Database Systems for Advanced Applications  1999.4 

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    Venue：Taiwan  

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  • Locating fold bifurcation points using subspace shooting

    H. Ito, A. Kumamoto

    1997 International Symposium on Nonlinear Theory and its Applications  1997.12 

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    Venue：Honolulu, USA  

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  • Information retrieval considering adaptation to user's behaviors on the WWW

    K. Eguchi, H. Ito, A. Kumamoto

    2nd International Workshop on Information Retrieval with Asian Languages  1997.10 

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    Venue：Tsukuba, Japan  

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  • Multidomain regime and spatiotemporal chaos in Gunn diodes under impact ionization conditions

    H. Ito, Y. Ueda

    1995 International Symposium on Nonlinear Theory and its Applications  1995.12 

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    Venue：Las Vegas, USA  

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  • Self-generated chaos in a spatially extended system with two types of instabilities

    H. Ito, K. Harada, Y. Ueda

    1993 International Symposium on Nonlinear Theory and its Applications  1993.12 

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    Venue：Honolulu, USA  

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  • Bifurcation in a periodically forced oscillator with spatial degrees of freedom

    H. Ito, E. Mosekilde, Y. Ueda

    1992 Symposium on Nonlinear Theory and its Applications  1992.7 

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    Venue：Kanagawa, Japan  

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  • Mode locking and chaos in a forced self-oscillatory system with spatial degrees of freedom

    H. Ito, Y. Ueda

    2nd Symposium on Nonlinear Theory and its Applications  1991.7 

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    Venue：Fukuoka, Japan  

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Awards

  • Excellent Paper Award

    2016.10   23rd International Conference on Neural Information Processing (ICONIP2016)  

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  • 電気学会 電子・情報・システム部門貢献賞 2001年

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    Country：Japan

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Devising educational methods

  • ・「回路システム理論」などの担当講義科目で取り上げる様々な技術的手法について、それらの発想や歴史的事情の検討も含めた教材研究を十分に行った上で、内容をできるだけ現代的かつシステマティックに再構成するとともに、その過程（なぜそのように再構成したか）も説明しながら講義している。 ・講義中の問題演習や実験科目においては、学生間の議論を奨励するとともに、その流れの中で適切な助言を行うよう努めている。 ・過去の試験問題を略解、評価基準および成績結果とともに公表しながら、年度ごとに適切に変化させた出題を心がけることで、講義内容の深い理解につながる自主演習を誘導している。 ・当該科目のカリキュラム上の位置付け，関連科目や上位・下位年次科目の授業内容、資格試験の問題や高等学校の学習指導要領および教科書の記述などに留意して、授業内容に反映させるとともに、何に留意したかをその都度説明している。 ・研究室で独自の観点に基づいて開発した学習支援Webシステムを、担当講義の一部において実験的に使用しながら、学習意欲の刺激を試みるとともに、学習行動の分析を行っている。

Teaching materials

  • ・「電気電子情報工学実験1」テキスト（分担執筆）

Teaching method presentations

  • ・岩瀬正善、伊藤秀隆、隈元 昭：他者の学習進捗状況を参照可能な学習システム、2010年電子情報通信学会総合大会、D-15-21、2010年

Special notes on other educational activities

  • 　特になし