Matsushita Haruna

Researcher Information

Degree

• 博士（工学）（The University of Tokushima）

Research funding number

• 00604539

J-Global ID

• 201701008688487465

Research Interests

• Computational Intelligence   非線形問題   群知能   分岐   進化計算   ソフトコンピューティング   最適化   Nonlinear analysis   Soft-computing   Swarm intelligence   Nonlinear optimization   

Research Areas

• Informatics / Sensitivity (kansei) informatics
• Informatics / Soft computing

Academic & Professional Experience

• 2020/04 - Today  Kagawa UniversityFaculty of Engineering and Design准教授
• 2021/09 - 2022/09  National Institute of Technology, Kagawa College非常勤講師
• 2018/04 - 2020/03  Kagawa UniversityFaculty of Engineering and Design講師
• 2015/04 - 2018/03  Kagawa UniversityFaculty of Engineering講師
• 2011/01 - 2015/03  Kagawa UniversityFaculty of Engineering助教
• 2010/04 - 2010/12  日本学術振興会, 特別研究員PD
• 2008/10 - 2010/03  日本学術振興会, 特別研究員PD
• 2007/04 - 2008/09  日本学術振興会, 特別研究員DC1

Education

•        - 2008  The University of Tokushima  先端技術科学教育部  システム創生工学専攻
•        - 2008  The University of Tokushima  先端技術科学教育部  システム創生工学専攻
•        - 2007  The University of Tokushima  Graduate School, Division of Engineering  電気電子工学専攻
•        - 2007  The University of Tokushima  工学研究科  電気電子工学専攻
•        - 2005  The University of Tokushima  Faculty of Engineering  電気電子工学科
•        - 2005  The University of Tokushima  Faculty of Engineering  Department of Electrical and Electronic Engineering
•        - 2003  The Anan College of Technology  Faculty of Engineering  電気工学科
•        - 2003  Anan National College of Technology  工学部  電気工学科

Association Memberships

• 電子情報通信学会   信号処理学会   進化計算学会   IEEE   

Published Papers

• Deployment of the Parallel Nested-Layer Particle Swarm Optimization to Continuous-time Dynamical Systems

  Tomo Hasegawa; Haruna Matsushita; Takuji Kousaka; Hiroaki Kurokawa

  IEEJ Transactions on Electronics, Information and Systems Institute of Electrical Engineers of Japan (IEE Japan) 144 (12) 1249 - 1250 0385-4221 2024/12
• Derivative-Free-Optimization-based Bifurcation Point Detection Method without Parameter Tuning

  Haruna Matsushita; Hiroaki Kurokawa; Takuji Kousaka

  2024 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS 2024 0271-4302 2024
• Homoclinic Points Calculation Method With Particle Swarm Optimization

  Tatsumi Makino; Yuu Miino; Haruna Matsushita; Takuji Kousaka

  IEEE Access Institute of Electrical and Electronics Engineers (IEEE) 12 35257 - 35270 2024
• Codimension-two bifurcation parameter detection strategy with nested-layer particle swarm optimization

  Haruna Matsushita; Tomoki Gotoh; Takuji Kousaka

  Nonlinear Theory and Its Applications, IEICE Institute of Electronics, Information and Communications Engineers (IEICE) 15 (1) 168 - 182 2024
• Non-gradient-based simultaneous strategy for bifurcation parameter detection

  Haruna Matsushita; Hiroaki Kurokawa; Takuji Kousaka

  Chaos, Solitons & Fractals Elsevier BV 176 114124 - 114124 0960-0779 2023/11
• Derivation of Local Bifurcation Points in Autonomous Systems by Using Particle Swarm Optimization

  Tomoki Gotoh; Hiroaki Kurokawa; Haruna Matsushita; Takuji Kousaka

  Transactions of the Institute of Systems, Control and Information Engineers 36 (5) 121 - 129 2023/05 [Refereed]
  
• Modified parallel nested-layer particle swarm optimization algorithm for fast bifurcation point detection and its software implementation

  Tomo Hasegawa; Haruna Matsushita; Takuji Kousaka; Hiroaki Kurokawa

  Nonlinear Theory and Its Applications, IEICE Institute of Electronics, Information and Communications Engineers (IEICE) 14 (2) 308 - 318 2023/04 [Refereed]
  
• An application software for bifurcation point detection of dynamical systems with nested-layer particle swarm optimization

  Tomo HASEGAWA; Haruna MATSUSHITA; Takuji KOUSAKA; Hiroaki KUROKAWA

  Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA'22) 184 - 187 2022/12 [Refereed]
  
• Investigation of Bifurcation Point Detection Method Based on a Differential Evolution

  Ryo ADACHI; Haruna MATSUSHITA; Hiroaki KUROKAWA; Takuji KOUSAKA

  Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA'22) 635 - 637 2022/12 [Refereed]
  
• Recognition Using YOLO for Degraded Images on Visible Light Communication

  Hiroko MATSUDA; Haruna MATSUSHITA; Shintaro ARAI

  Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA'22) 289 - 292 2022/12 [Refereed]
  
• Computation of homoclinic points using particle swarm optimization in 2-dimensional discrete dynamical systems

  Tatsumi MAKINO; Yu MIINO; Haruna MATSUSHITA; Takuji KOUSAKA

  Proceedings of The 19th International SoC Conference (ISOCC'22) 267 - 268 2022/10 [Refereed]
  
• Neimark-Sacker Bifurcation Points Derivation Method in Nonlinear Dynamical Systems using Nested-Layer Particle Swarm Optimizations

  後藤友綺; 黒川弘章; 松下春奈; 高坂拓司

  電気学会論文誌 C 142 (6) 0385-4221 2022/06 [Refereed]
  
• Bifurcation point detection with parallel nested layer particle swarm optimization

  Tomo Hasegawa; Haruna Matsushita; Takuji Kousaka; Hiroaki Kurokawa

  Nonlinear Theory and Its Applications, IEICE Institute of Electronics, Information and Communications Engineers (IEICE) 13 (2) 312 - 317 2185-4106 2022/04 [Refereed]
  
• Improved Nested-Layer Particle Swarm Optimization-Based Bifurcation Point Detection for the Parameter Space Containing Various Bifurcation Points

  Takaya HIRAYAMA; Haruna MATSUSHITA; Hiroaki KUROKAWA; Takuji KOUSAKA

  Nonlinear Theory and Its Applications, IEICE 2022/04 [Refereed]
  
• An Evaluation of Parallelized Nested Layer Particle Swarm Optimization for Bifurcation Point Detection

  Tomo HASEGAWA; Haruna MATSUSHITA; Takuji KOUSAKA; Hiroaki KUROKAWA

  Proceedings of The 53rd ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'21) 42 - 43 2021/10 [Refereed]
  
• Local bifurcation points derivation method in autonomous systems using particle swarm optimization

  Tomoki GOTOH; Hiroaki KUROKAWA; Haruna MATSUSHITA; Takuji KOUSAKA

  Proceedings of The 53rd ISCIE International Symposium on Stochastic Systems Theory and Its Applications (SSS'21) 33 - 39 2021/10 [Refereed]
  
• 非線形力学系における分岐理論の解析・応用-VI-分岐点導出における新しい潮流

  松下春奈; 黒川弘章; 高坂拓司

  システム/制御/情報 64 (12) 0916-1600 2020/12 [Refereed][Invited]
  
• Improved NLPSO-Based Bifurcation Point Detection for the Parameter Space Containing Various Bifurcation Points

  Takaya HIRAYAMA; Haruna MATSUSHITA; Hiroaki KUROKAWA; Takuji KOUSAKA

  Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA'20) 2020/11 [Refereed]
  
• Improved Nested-Layer Particle Swarm Optimization for Bifurcation Point Detection on Discrete Dynamic Systems

  Juri SHIRASAKA; Haruna MATSUSHITA; Hiroaki KUROKAWA; Takuji KOUSAKA

  Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA'20) 2020/11 [Refereed]
  
• An Automated Design Procedure for Class-E Amplifier

  Yuichi TANJI; Haruna MATSUSHITA; Hiroo SEKIYA

  Nonlinear Theory and Its Applications, IEICE 11 (4) 2020/10 [Refereed]
  
• Bifurcation analysis by particle swarm optimization

  Haruna Matsushita; Hiroaki Kurokawa; Takuji Kousaka

  Nonlinear Theory and Its Applications, IEICE 11 (4) 391 - 408 2185-4106 2020/10 [Refereed][Invited]
  
• Particle swarm optimization-based strategy for detecting border-collision bifurcation points in piecewise smooth maps

  H. Matsushita; W. Kinoshita; H. Kurokawa; T. Kousaka

  Applied Soft Computing Elsevier BV 95 106319-1 - 11 1568-4946 2020/10 [Refereed]
  
• A Study on Spatial Channel Estimation by Nelder-Mead Method for Image Sensor Communication

  Shintaro ARAI; Haruna MATSUSHITA

  Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA'19) 2019/12 [Refereed]
  
• Quasiperiodicity and Chaos Through Hopf-Hopf Bifurcation in Minimal Ring Neural Oscillators Due to a Single Shortcut

  Horikawa Yo; Kitajima Hiroyuki; Matsushita Haruna

  INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS 29 (5) 0218-1274 2019/05 [Refereed]
  
• Maximum Likelihood Decoding Based on Pseudo-Captured Image Templates for Image Sensor Communication

  Shintaro ARAI; Haruna MATSUSHITA; Yuki OHIRA; Tomohiro YENDO; Di HE; Takaya YAMAZATO

  Nonlinear Theory and Its Applications, IEICE 10 (2) 173 - 189 2185-4106 2019/04 [Refereed]
  
• Application of Particle Swarm Optimization for Calculating Local Bifurcation Point in Two-dimensional Continuous Dynamical Systems

  Wataru KINOSHITA; Hideyuki KATO; Hiroaki KUROKAWA; Haruna MATSUSHITA; Takuji KOUSAKA

  Proceedings of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'19) 386 - 389 2019/03 [Refereed]
  
• Saddle-node bifurcation parameter detection strategy with nested-layer particle swarm optimization

  Haruna Matsushita; Hiroaki Kurokawa; Takuji Kousaka

  Chaos, Solitons & Fractals 119 126 - 134 2019/02 [Refereed]
  
• Nested-layer particle swarm optimization method for bifurcation point detection in non-autonomous systems

  Haruna Matsushita; Wataru Kinoshita; Hiroaki Kurokawa; Takuji Kousaka

  Nonlinear Theory and Its Applications, IEICE 10 (3) 289 - 302 2185-4106 2019 [Refereed]
  
• 1次元離散力学系における入れ子構造型粒子群最適化法によるサドルノード分岐点導出

  松下 春奈; 富村 祐翔; 黒川 弘章; 高坂 拓司

  電気学会論文誌C 138 (12) 1646 - 1647 2018/12 [Refereed]
  
• Application of Particle Swarm Optimization to the Calculation of Border Collision Bifurcation Point in a One-dimensional map

  Wataru KINOSHITA; Motoaki SAKAI; Hideyuki KATO; Hiroaki KUROKAWA; Haruna MATSUSHITA; Takuji KOUSAKA

  Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA'18) 355 - 358 2018/09 [Refereed]
  
• Fold-Pitchfork Bifurcation, Arnold Tongues and Multiple Chaotic Attractors in a Minimal Network of Three Sigmoidal Neurons

  Yo Horikawa; Hiroyuki Kitajima; Haruna Matsushita

  International Journal of Bifurcation and Chaos 28 (10) 0218-1274 2018/09 [Refereed]
  
• Hopf-Hopf Bifurcation and Chaos in A Ring Neural Oscillator due to A Single Shortcut

  Yo HORIKAWA; Ken'ichi FUJIMOTO; Haruna MATSUSHITA

  Proceedings of International Joint Conference on Neural Networks (IJCNN'18) 3263 - 3270 2018/06 [Refereed]
  
• Deriving Method of a Period Doubling Bifurcation Point by Piecewise-Linear Particle Swarm Optimizer

  Kenji Yamazaki; Haruna Matsushita; Hiroaki Kurokawa; Takuji Kousaka

  Proceedings of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'18) 491-494  2018/03 [Refereed]
  
• Deriving Method of Period Doubling Bifurcation Point by Modified PSO

  Kenji Yamazaki; Hiroaki Kurokawa; Takuji Kosaka; Haruna Matsushita

  Proc. of NCN 15 - 18 2017/12 [Refereed]
  
• Particle Swarm Optimization for Calculating Local Bifurcation Point in One-dimensional Discrete Dynamical Systems

  Yusho Tomimura; Hiroaki Kurokawa; Haruna Matsushita; Takuji Kousaka

  Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA'17) 498-501  2017/10 [Refereed]
  
• International Symposium on Nonlinear Theory and its Applications

  Masaki TAKEUCHI; Thomas OTT; Haruna Matsushita; Yoko UWATE; Yoshifumi NISHIO

  Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA'17) 576-579  2017/10 [Refereed]
  
• Investigation of K-Means Clustering Used Firefly Algorithm Modified Random Component

  Masaki TAKEUCHI; Thomas OTT; Haruna Matsushita; Yoko UWATE; Yoshifumi NISHIO

  Proc. of Asia Pacific Conference on Postgraduate Research in Microelectronics and Electronics 2017/10 [Refereed]
  
• PSO with Fluctuating Acceleration Coefficients for Deriving Multiple Period Doubling Bifurcation Points

  Kenji Yamazaki; Hiroyuki Kitajima; Hiroaki Kurokawa; Takuji Kousaka; Haruna Matsushita

  Proc. of TJCAS2017(2017 Taiwan and Japan Conference on Circuits and Systems) 27 - 27 2017/08
• Period Doubling Bifurcation Point Detection Strategy with Nested Layer Particle Swarm Optimization

  Haruna Matsushita; Yusho Tomimura; Hiroaki Kurokawa; Takuji Kousaka

  INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS 27 (7) 1 - 16 0218-1274 2017/06 [Refereed]
  
  ダウンロード
• The Future Offered by the Development of Nonlinear Analysis Technologies

  松下 春奈

  電子情報通信学会誌 = The journal of the Institute of Electronics, Information and Communication Engineers 電子情報通信学会 100 (6) 489 - 492 0913-5693 2017/06 [Refereed][Invited]
  
• K-Means Algorithm Using Improved Firefly Algorithm

  Masaki Takeuchi; Thomas OTT; Haruna Matsushita; Yoko Uwate; Yoshifumi Nishio

  Proceedings of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'17) 2017/03 [Refereed]
  
• ESS News

  KOUSAKA Takuji; MATSUSHITA Haruna

  IEICE ESS Fundamentals Review The Institute of Electronics, Information and Communication Engineers 10 (3) 219 - 219 2017
• Deriving Method of Multiple Period Doubling Bifurcation Points by Using PSO

  Kenji Yamazaki; Hiroaki Kurokawa; Takuji Kousaka; Haruna Matsushita

  Proc. of 2016 IEEE Workshop on Nonlinear Circuit Networks 59 - 61 2016/12 [Refereed]
  
• Hybrid Method of Genetic Algorithm and Firefly Algorithm Distinguishing Between Males and Females

  Masaki Takeuchi; Haruna Matsushita; Yoko Uwate; Yoshifumi Nishio

  Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA'16) 2016/11 [Refereed]
  
• Investigation of Firefly Algorithm Distinguishing between Males and Females for Minimum Optimization Problems

  Masaki Takeuchi; Haruna Matsushita; Yoko Uwate; Yoshifumi Nishio

  Proceedings of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing (NCSP'16) 2016/03 [Refereed]
  
• Virtualized-elastic-regenerator placement by firefly algorithm for translucent elastic optical networks.

  Kenji Yamazaki; Haruna Matsushita; Masahiko Jinno

  roceedings of 2016 IEEE Congress on Evolutionary Computation (CEC'16) IEEE 2016 (CEC) 2866 - 2872 2016 [Refereed]
  
• Firefly Algorithm Existing Leader Fireflies

  Masaki Takeuchi; Haruna Matsushita; Yoko Uwate; Yoshifumi Nishio

  2016 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS (APCCAS) 2016 (APCCAS) 313 - 316 2016 [Refereed]
  
• International Conference Report:2015 International Symposium on Nonlinear Theory and its Applications

  MATSUSHITA Haruna

  IEICE ESS Fundamentals Review The Institute of Electronics, Information and Communication Engineers 9 (4) 365 - 367 1882-0875 2016
• Effects of Adding/Dropping Nyquist WDM Superchannels on Linear and Nonlinear Transmission Impairments in an Elastic Optical Network.

  Masahiko Jinno; Takuya Nakagawa; Yutaka Mori; Koichi Maru; Haruna Matsushita

  IEICE Transactions 99-B (8) 1669 - 1676 1745-1345 2016 [Refereed]
  
• Effects of Adding/Dropping Nyquist WDM Superchannels on Linear and Nonlinear Transmission Impairments in an Elastic Optical Network.

  Masahiko Jinno; Takuya Nakagawa; Yutaka Mori; Koichi Maru; Haruna Matsushita

  IEICE Transactions 99-B (8) 1669 - 1676 0916-8516 2016 [Refereed]
  
• Maximum power point search strategy with two particle swarm optimizers for photovoltaic model

  Haruna Matsushita; Hiroaki Kurokawa; Takuji Kousaka

  IEEJ Transactions on Electronics, Information and Systems Institute of Electrical Engineers of Japan 136 (11) 1610 - 1611 1348-8155 2016 [Refereed]
  
• Behavior of the Artificial Slime Mould Model and Its Application

  Uemura Masafumi; Matsushita Haruna; K. Kraetzschmar Gerhard

  Journal of Signal Processing 信号処理学会 20 (4) 152 - 152 1880-1013 2016 [Refereed]
  
• Investigation of Optimal Ratio of Males to Females in Firefly Algorithm

  Takeuchi Masaki; Matsushita Haruna; Uwate Yoko; Nishio Yoshifumi

  Journal of Signal Processing 信号処理学会 20 (4) 156 - 156 1880-1013 2016 [Refereed]
  
• Application of Path Planning Algorithm by Slime Molds

  Masafumi Uemura; Haruna Matsushita; Gerhard KRAETZSCHMAR

  Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA'15) 2015/12 [Refereed]
  
• Application of Firefly Algorithm to Optimization of Translucent Elastic Optical Networks

  Haruna Matsushita; Masahiko Jinno; Yoshifumi Nishio

  Proceedings of International Symposium on Nonlinear Theory and its Applications (NOLTA'15) 629-632  2015/12 [Refereed]
  
• Automated Color Image Arrangement Method Using Curvature Computation in Histogram Matching

  Yusuke Kawakami; Tetsuo Hattori; Yoshiro Imai; Haruna Matsushita; Hiromichi Kawano; R. P. C. Janaka Rajapakse

  PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS (ICAROB2015) 272 - 277 2015 [Refereed]
  
• Path Planning with Slime Molds: A Biology-Inspired Approach

  Masafumi Uemura; Haruna Matsushita; Gerhard K. Kraetzschmar

  NEURAL INFORMATION PROCESSING, ICONIP 2015, PT IV 9492 308 - 315 0302-9743 2015 [Refereed]
  
• Firefly Algorithm with Dynamically Changing Connections

  Haruna Matsushita

  2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) 2672 - 2677 2015 [Refereed]
  
• Programmable Multicarrier Generator for Has Superchannel Transponder/Regenerator

  Yutaka Mori; Koichi Maru; Haruna Matsushita; Takuya Nakagawa; Masahiko Jinno

  2015 INTERNATIONAL CONFERENCE ON PHOTONICS IN SWITCHING (PS) 187 - 189 2155-8515 2015 [Refereed]
  
• Automated Color Image Arrangement Method for Multiple-Peak Image

  Yusuke Kawakami; Tetsuo Hattori; Shiro Imai; Yo Horikawa; Haruna Matsushita; R. P. C. Janaka Rajapakse

  2015 SECOND INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE, COMPUTER ENGINEERING, AND SOCIAL MEDIA (CSCESM) 27 - 30 2015 [Refereed]
  
• Linear and nonlinear impairments when adding and dropping superchannels in an elastic optical network.

  Takuya Nakagawa; Yutaka Mori; Koichi Maru; Haruna Matsushita; Masahiko Jinno

  21st Asia-Pacific Conference on Communications, APCC 2015, Kyoto, Japan, October 14-16, 2015 IEEE 25 - 28 2015 [Refereed]
  
• Automated Color Image Arrangement Method Based on Histogram Matching:- Investigation of Kansei impression between HE and HMGD -

  KAWAKAMI Yusuke; HATTORI Tetsuo; MATSUSHITA Haruna; IMAI Yoshiro; KAWANO Hiromichi; Rajapakse R.P.C. Janaka

  KANSEI Engineering International Japan Society of Kansei Engineering 14 (2) 85 - 93 2187-5413 2015 [Refereed]
  
• Network-Structured Particle Swarm Optimizer That Considers Neighborhood Distances and Behaviors

  Matsushita Haruna; Nishio Yoshifumi; Tse Chi K

  Journal of Signal Processing Research Institute of Signal Processing, Japan 18 (6) 291 - 302 1880-1013 2014/11 [Refereed]
  
• Design Curve Tracing of Class E Amplifiers by IPSO

  Yuichi Tanji; Haruna Matsushita; Hiroo Sekiya

  Proc. 2014 International Symposium on Nonlinear Theory and its Applications 906-909  2014/09 [Refereed]
  
• Solving Shortest Path Problems by Adaptable Independent-Minded Particle Swarm Optimization

  Yoko Ishii; Haruna Matsushita; Yo Horikawa

  Proceedings of International Symposium on Nonlinear Theory and its Applications 144-147  2014/09 [Refereed]
  
• Kansei Impression and Automated Color Image Arrangement Methods (incl. erratum).

  Yusuke Kawakami; Tetsuo Hattori; Yoshiro Imai; Haruna Matsushita; Hiromichi Kawano; R. P. C; Janaka Rajapakse

  JRNAL 1 (1) 60 - 67 2014 [Refereed]
  
• Automated Color Image Arrangement Method and Kansei Impression

  Y. Kawakami; T. Hattori; Y. Imai; H. Matsushita; H. Kawano; R. P. C. J. Rajapakse

  PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ARTIFICIAL LIFE AND ROBOTICS (ICAROB 2014) 260 - 263 2014 [Refereed]
  
• Arrangement Effect of Histogram Matching for Image and Sound Signal

  Yusuke Kawakami; Tetsuo Hattori; Haruna Matsushita; Yoshiro Imai; Hiromichi Kawano; Janaka Rajapakse

  Proceedings of ICHS 2013 (International Conference on Humanized Systems 2013) pp.87-91  2013/09 [Refereed]
  
• Network-Structured Firefly Algorithm and its Behavior

  Haruna MATSUSHITA; Daiki MATSUMOTO; Yoshifumi NISHIO

  Proceedings of International Symposium on Nonlinear Theory and its Applications 2013/09 [Refereed]
  
• Independent-minded Firefly Algorithm

  Haruna MATSUSHITA

  Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing 2013/03 [Refereed]
  
• SELECTED PAPER : Ant Colony Optimization Including Dull Ants Caused by Genetic Algorithm (Special Section on Papers Awarded the Student Paper Award at NCSP'12)

  Shimomura Sho; Matsushita Haruna; Uwate Yoko

  信号処理 [信号処理学会] 16 (4) 303 - 306 1880-1013 2012/07 [Refereed]
  
• SELECTED PAPER : Classification Function of Radial-Basis Adaptive Resonance Theory Map and Its Application (Special Section on Papers Awarded the Student Paper Award at NCSP'12)

  Enosawa Yoko; Matsushita Haruna; Tanaka Yasuhiro

  信号処理 [信号処理学会] 16 (4) 307 - 310 1880-1013 2012/07 [Refereed]
  
• Acceleration of PSO for Designing Class E Amplifier

  Yuichi Tanji; Haruna Matsushita; Hiroo Sekiya

  Proc. 2012 RISP International Workshop on Nonlinear Circuits and Signal Processing 146-149  2012/03 [Refereed]
  
• Application of Independent-minded Particle Swarm Optimization for Design of Class-E Amplifiers

  Haruna Matsushita; Yuichi Tanji

  6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS 60 - 64 2012 [Refereed]
  
• Proposal of Parameter Setting Method on Independent-Minded Particle Swarm Optimization

  Haruna MATSUSHITA

  Proceedings of International Symposium on Nonlinear Theory and its Applications 2012/01 [Refereed]
  
• Particle swarm optimization for design of class-E amplifier

  Tanji Yuichi; Matsushita Haruna; Sekiya Hiroo

  Nonlinear Theory and Its Applications, IEICE 一般社団法人 電子情報通信学会 3 (4) 586 - 595 2185-4106 2012 [Refereed]
  
• An Enhanced PSO Algorithm for Designing Class E Amplifier

  Yuichi Tanji; Haruna Matsushita; Hiroo Sekiya

  Proc. 2011 International Symposium on Nonlinear Theory and its Applications 491-494  2011/09 [Refereed]
  
• Ant Colony Optimization Using Genetic Information for TSP

  Sho SHIMOMURA; Haruna MATSUSHITA; Yoshifumi NISHIO

  Proceedings of International Symposium on Nonlinear Theory and its Applications 2011/09 [Refereed]
  
• Particle swarm optimization using shared velocity (Special Section on Papers Awarded the Student Paper Award at NCSP'11)

  Sugimoto Masaki; Matsushita Haruna; Nishio Yoshifumi

  Journal of signal processing 〔信号処理学会〕 15 (4) 255 - 258 1342-6230 2011/07 [Refereed]
  
• Ant Colony Optimization Changing the Rate of Dull Ants and its Application to QAP

  Sho Shimomura; Haruna Matsushita; Yoshifumi Nishio

  2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 2830 - 2835 2011 [Refereed]
  
• Application of particle swarm optimization to parameter search in dynamical systems

  Matsushita Haruna; Saito Toshimichi

  Nonlinear Theory and Its Applications, IEICE 一般社団法人 電子情報通信学会 2 (4) 458 - 471 2185-4106 2011 [Refereed]
  
• Self-Organizing Map with Weighted Connections Avoiding False-Neighbor Effects

  Haruna Matsushita; Yoshifumi Nishio

  2010 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS 2554 - 2557 0271-4302 2010 [Refereed]
  
• Batch-Learning Self-Organizing Map with Weighted Connections Avoiding False-Neighbor Effects

  Haruna Matsushita; Yoshifumi Nishio

  2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010 2161-4393 2010 [Refereed]
  
• Particle Swarm Optimization with Novel Concept of Complex Network

  Haruna MATSUSHITA; Yoshifumi NISHIO

  Proceedings of International Symposium on Nonlinear Theory and its Applications 2010 [Refereed]
  
• Application of Particle Swarm Optimizers to Finding Desired Parameters of Switched Dynamical Systems

  Haruna MATSUSHITA; Yoshifumi NISHIO; Toshimichi SAITO

  Proceedings of International Symposium on Nonlinear Theory and its Applications 2010 [Refereed]
  
• Behavior of Ant Colony Optimization with Intelligent and Dull Ants

  Sho SHIMOMURA; Masaki SUGIMOTO; Taku HARAGUCHI; Haruna MATSUSHITA; Yoshifumi NISHIO

  Proceedings of International Symposium on Nonlinear Theory and its Applications 情報処理学会 2010 (2) 4p  1884-0930 2010 [Refereed]
  
• A Classification System Based on Collaboration of Adaptive Resonance Theory Maps and Learning Vector Quantization

  Yoko ENOSAWA; Haruna MATSUSHITA; Toshimichi SAITO

  Proceedings of International Symposium on Nonlinear Theory and its Applications 2010 [Refereed]
  
• Particle Swarm Optimizer Arranged in Two-Dimensional Array

  Haruna MATSUSHITA; Yoshifumi NISHIO

  Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing 2009/03 [Refereed]
  
• Fuzzy ART Combining Overlapped Categories Using Variable Vigilance

  Haruka ISAWA; Haruna MATSUSHITA; Yoshifumi NISHIO

  Proceedings of RISP International Workshop on Nonlinear Circuits and Signal Processing 2009/03 [Refereed]
  
• Network-Structured Particle Swarm Optimizer with Various Topology and Its Behaviors

  Haruna Matsushita; Yoshifumi Nishio

  ADVANCES IN SELF-ORGANIZING MAPS, PROCEEDINGS 5629 163 - 171 0302-9743 2009 [Refereed]
  
• Community Self-Organizing Map and its Application to Data Extraction

  Taku Haraguchi; Haruna Matsushita; Yoshifumi Nishio

  IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6 2075 - 2082 1098-7576 2009 [Refereed]
  
• Network-Structured Particle Swarm Optimizer Considering Neighborhood Relationships

  Haruna Matsushita; Yoshifumi Nishio

  IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6 1644 - 1650 2161-4393 2009 [Refereed]
  
• Behavior of Community Self-Organizing Map with Camaraderie

  Taku HARAGUCHI; Haruna MATSUSHITA; Yoshifumi NISHIO

  Proceedings of International Workshop on Nonlinear Maps and their Applications 2009 [Refereed]
  
• Particle Swarm Optimization Containing Characteristic Swarms

  Masaki SUGIMOTO; Taku HARAGUCHI; Haruna MATSUSHITA; Yoshifumi NISHIO

  Proceedings of International Workshop on Nonlinear Maps and their Applications 2009 [Refereed]
  
• Network-Structured Particle Swarm Optimizer with Small-World Topology

  MATSUSHITA H.

  Proc. of NOLTA, 2009 372 - 375 2009 [Refereed]
  
• Particle swarm optimization containing plural swarms

  SUGIMOTO M.

  Proc. RISP Int. Workshop on Nonlinear Circuits and Signal Processing, 2009 419 - 412 2009 [Refereed]
  
• Neural gas containing two types of neurons and its behaviors

  Kanda Keiko; Matsushita Haruna; Nishio Yoshihumi

  Journal of signal processing 〔信号処理学会〕 12 (4) 295 - 298 1342-6230 2008/07 [Refereed]
  
• Self-Organizing Map with False-Neighbor degree between neurons for effective self-organization

  Haruna Matsushita; Yoshifumi Nishio

  IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E91A (6) 1463 - 1469 0916-8508 2008/06 [Refereed]
  
• SOM with False-Neighbor degree and its behaviors

  Haruna Matsushita; Yoshifumi Nishio

  PROCEEDINGS OF 2008 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-10 2008 Vol.3 864 - 867 0271-4302 2008 [Refereed]
  
• SOM with false-neighbor degree and its behaviors

  Haruna Matsushita; Yoshifumi Nishio

  Proceedings - IEEE International Symposium on Circuits and Systems 864 - 867 0271-4310 2008 [Refereed]
  
• Batch-Learning Self-Organizing Map with False-Neighbor Degree between Neurons

  Haruna Matsushita; Yoshifutrti Nishio

  2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8 2259 - 2266 1098-7576 2008 [Refereed]
  
• Fuzzy Adaptive Resonance Theory Combining Overlapped Category in Consideration of Connections

  Haruka Isawa; Haruna Matsushita; Yoshifumi Nishio

  2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8 3595 - 3600 1098-7576 2008 [Refereed]
  
• Lazy Self-Organizing Map and its Behaviors

  Taku Haraguchi; Haruna Matsushita; Yoshifumi Nishio

  2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8 2275 - 2280 1098-7576 2008 [Refereed]
  
• Lazy Self-Organizing Map Considering Lazy-Neuron Rate for Effective Self-Organization

  Taku HARAGUCHI; Haruna MATSUSHITA; Yoshifumi NISHIO

  Proceedings of International Symposium on Nonlinear Theory and its Applications 2008 [Refereed]
  
• Nonlinear Spring Model of Self-Organizing Map Arranged in Two-Dimensional Array

  Proceedings of International Symposium on Nonlinear Theory and its Applications 2008 [Refereed]
  
• Growing Grid with False-Neighbor Degree

  Proceedings of International Workshop on Vision, Communications and Circuits 2008 [Refereed]
  
• Reunifying self-organizing map and disconnecting self-organizing map (Special issue on nonlinear circuits and signal processing)

  Matsushita Haruna; Nishio Yoshifumi

  Journal of signal processing 〔信号処理学会〕 11 (6) 445 - 452 1342-6230 2007/11 [Refereed]
  
• Tentacled self-organizing map for effective data extraction

  Haruna Matsushita; Yoshifumi Nishio

  IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E90A (10) 2085 - 2092 0916-8508 2007/10 [Refereed]
  
• Competing behavior of two kinds of self-organizing maps and its application to clustering

  Haruna Matsushita; Yoshifumi Nishio

  IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES E90A (4) 865 - 871 0916-8508 2007/04 [Refereed]
  
• Self-Organizing Map considering False Neighboring Neuron

  Haruna Matsushita; Yoshifumi Nishio

  2007 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11 2007 Vol.5 1533 - 1536 0271-4302 2007 [Refereed]
  
• Self-organizing map considering false neighboring neuron

  Haruna Matsushita; Yoshifumi Nishio

  Proceedings - IEEE International Symposium on Circuits and Systems Institute of Electrical and Electronics Engineers Inc. 1533 - 1536 0271-4310 2007
• Nonlinear spring model of Self-Organizing Map and its chaotic behavior

  Haruna Matsushita

  2007 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2 1099 - 1102 2007 [Refereed]
  
• Competing and Accommodating Behaviors of Peace Self-Organizing Maps

  MATSUSHITA H

  Journal of signal processing 〔信号処理学会〕 10 (5) 371 - 376 1342-6230 2006/09 [Refereed]
  
• Data Extraction by Self-Organizing Map Containing Neurons with Additional States (Special Section on Papers Awarded the Student Paper Award at NCSP'06)

  Tomita Masato; Matsushita Haruna; Nishio Yoshifumi

  Journal of signal processing 〔信号処理学会〕 10 (4) 243 - 246 1342-6230 2006/07 [Refereed]
  
• Behavior of fatigable SOM and its application to clustering

  Masato Tomita; Haruna Matsushita; Yoshifumi Nishio

  2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10 3526 - + 2161-4393 2006 [Refereed]
  
• Tentacled Self-Organizing Map for effective data extraction

  Haruna Matsushita; Yoshifumi Nishio

  2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10 950 - + 2161-4393 2006 [Refereed]
  
• Competing and accommodating behaviors of Peace SOM

  Haruna Matsushita; Yoshifumi Nishio

  2006 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11, PROCEEDINGS 2006 Vol.7 3642 - + 0271-4302 2006 [Refereed]
  
• Competing behavior of two kinds of SOMs and its application to clustering

  Haruna Matsushita; Yoshifumi Nishio

  WSOM 2005 - 5th Workshop on Self-Organizing Maps 355 - 362 2005
• Study for Algorithm of Speech/Music Discriminator

  Haruna Matsushita; Ken'ichi Fujimoto; Tatsumi Toumiya

  Proc. 2004 RISP International Workshop on Nonlinear Circuits and Signal Processing 419-421  2004/03 [Refereed]
  

Conference Activities & Talks

• 並列NLPSOによる分岐点探索のアルゴリズムとソフトウェア実装

  長谷川 朝; 松下 春奈; 高坂 拓司; 黒川 弘章

  電子情報通信学会 非線形問題研究会  2023/03
• 誤差逆伝播法によるボートレースの1・2着予測法の提案

  田邉 郁人; 松下 春奈

  電子情報通信学会 非線形問題研究会  2023/01
• Application of Differential Evolution to Detect Bifurcation Point with High Number of Periods

  Ryo ADACHI; Haruna MATSUSHITA; Hiroaki KUROKAWA; Takuji KOUSAKA

  IEEE Workshop on Nonlinear Circuit Networks (NCN'22)  2022/12
• ニューラルネットワークを用いたボートレースにおける結果予想

  田邉 郁人; 松下 春奈

  令和4年度電気・電子・情報関係学会四国支部連合大会  2022/09
• イメージセンサ通信における撮影画像に対する最尤推定による復調性能の調査

  羽野 智仁; 松下 春奈; 荒井 伸太郎

  令和4年度電気・電子・情報関係学会四国支部連合大会  2022/09
• 単構造型差分進化による分岐点探索手法の提案

  安達 良; 松下 春奈; 黒川 弘章; 高坂 拓司

  令和4年度電気・電子・情報関係学会四国支部連合大会  2022/09
• 粒子群最適化を用いたシステムパラメータ推定における目的関数の検証  [Not invited]

  金光 信幸; 松下 春奈

  令和4年度電気・電子・情報関係学会四国支部連合大会  2022/09
• YOLOv5を用いたイメージセンサ通信におけるノイズ画像への堅牢性調査  [Not invited]

  松田 寛子; 松下 春奈; 荒井 伸太郎

  令和4年度電気・電子・情報関係学会四国支部連合大会  2022/09
• YOLOv5を用いたイメージセンサ型可視光通信における点灯パターン推定  [Not invited]

  松田 寛子; 松下 春奈; 荒井 伸太郎

  電子情報通信学会 非線形問題研究会 技術報告  2022/01
• 粒子群最適化を用いた2次元離散力学系におけるHomoclinic点計算法  [Not invited]

  牧野 達海; 松下 春奈; 美井野 優; 高坂 拓司

  電子情報通信学会 非線形問題研究会 技術報告  2022/01
• 改良型入れ子構造型粒子群最適化による分岐点導出法の2次元離散力学系への適用

  平山 鷹哉; 松下 春奈; 黒川 弘章; 高坂 拓司

  電子情報通信学会 非線形問題研究会  2021/12
• 数値微分を利用したPSOによる離散力学系の分岐点探索

  川下 貴士; 松下 春奈; 黒川 弘章; 高坂 拓司

  電子情報通信学会 非線形問題研究会  2021/12
• Proposal of a Bifurcation Point Search Method Based on Differential Evolution

  Ryo ADACHI; Haruna MATSUSHITA; Hiroaki KUROKAWA; Takuji KOUSAKA

  IEEE Workshop on Nonlinear Circuit Networks (NCN'21)  2021/12
• Recognition Using YOLO for Degraded Images on Visible Light Communication

  Hiroko MATSUDA; Haruna MATSUSHITA; Shintaro ARAI

  IEEE Workshop on Nonlinear Circuit Networks (NCN'21)  2021/12
• 粒子群最適化を用いた自律系の局所的分岐点導出法

  後藤 友綺; 黒川 弘章; 松下 春奈; 高坂 拓司

  電子情報通信学会 非線形問題研究会  2021/11
• Extreme Learning Machineを用いたボートレースにおける結果予想

  谷 拓也; 松田 寛子; 松下 春奈

  2021/09
• イメージセンサ通信の信号復調における画像の劣化度合いを考慮したBDEの検討

  三鍋 詞音; 松下 春奈; 荒井 伸太郎

  令和3年度電気・電子・情報関係学会四国支部連合大会  2021/09
• ニューラルネットワークとPSOによる離散力学系のパラメータ推定

  小野 晴輝; 松下 春奈

  令和3年度電気・電子・情報関係学会四国支部連合大会  2021/09
• 数値微分を利用した PSO による 1 次元写像の分岐点探索

  川下 貴士; 松下 春奈; 黒川 弘章; 高坂 拓司

  令和3年度電気・電子・情報関係学会四国支部連合大会  2021/09
• 差分進化による離散力学系における分岐点探索の性能調査  [Not invited]

  安達 良; 松下 春奈; 黒川 弘章; 高坂 拓司

  電子情報通信学会 非線形問題研究会  2021/06
• 並列化NLPSOによる分岐点導出

  長谷川 朝; 松下 春奈; 高坂 拓司; 黒川 弘章

  2021年 電子情報通信学会 NOLTAソサイエティ大会  2021/06
• Extreme Learning Machineを用いたイメージセンサ通信における点灯パターン推定  [Not invited]

  松田 寛子; 松下 春奈; 荒井 伸太郎

  2021年 電子情報通信学会 NOLTAソサイエティ大会  2021/06
• BIFURCATION POINT SEARCH METHOD USING DIFFERENTIAL EVOLUTION

  安達良; 松下春奈; 黒川弘章; 高坂拓司

  電子情報通信学会大会講演論文集(CD-ROM)  2021
• NLPSO-Based Bifurcation Point Detection That Improves Divisor Problem  [Not invited]

  Takaya HIRAYAMA; Haruna MATSUSHITA; Hiroaki KUROKAWA; Takuji KOUSAKA

  IEEE Workshop on Nonlinear Circuit Networks (NCN'20)  2020/12
• NLPSOによる効率的な分岐点導出法の連続力学系への応用  [Not invited]

  白坂 樹里; 松下 春奈; 黒川 弘章; 高坂 拓司

  令和2年度電気・電子・情報関係学会四国支部連合大会  2020/09
• ペナルティ法を適用した改良型NLPSOによる分岐点探索

  平山 鷹哉; 松下 春奈; 黒川 弘章; 高坂 拓司

  令和2年度電気・電子・情報関係学会四国支部連合大会  2020/09
• 入れ子構造を持つ粒子群最適化の並列化

  谷森 翔太; 松下 春奈; 高坂 拓司; 黒川 弘章

  2020年 電子情報通信学会 総合大会  2020/03
• 入れ子構造型PSOによる離散写像の効率的な分岐点導出

  白坂 樹里; 松下 春奈; 黒川 弘章; 高坂 拓司

  2020年 電子情報通信学会 総合大会  2020/03
• PSOを用いた離散力学系のBorder-Collision分岐点探索手法

  後藤 友綺; 木下 航; 黒川 弘章; 松下 春奈; 高坂 拓司

  令和2年 電気学会 全国大会  2020/03
• イメージセンサ型可視光通信における遺伝的アルゴリズムを用いた信号復調手法の検討

  羽野 智仁; 松下 春奈; 荒井 伸太郎

  令和元年度 電気関係学会 四国支部連合大会  2019/09
• Nelder–Mead法を用いた可視光通信のための空間チャネル推定に関する一検討

  松下 春奈; 荒井 伸太郎

  電子情報通信学会 非線形問題研究会  2019/09
• 入れ子構造型PSO による1次元離散写像の効率的な分岐点導出

  白坂 樹里; 松下 春奈; 黒川 弘章; 高坂 拓司

  令和元年度 電気関係学会 四国支部連合大会  2019/09
• 可視光通信における畳み込みニューラルネットワークを用いた画像認識手法の改善に関する一検討

  松下 春奈; 荒井 伸太郎

  2019年 電子情報通信学会 NOLTA ソサイエティ大会  2019/06
• イメージセンサ通信のためのNetwork in Networkを用いた信号復調に関する一検討

  荒井 伸太郎; 廣末 拓己; 松下 春奈

  2019年 電子情報通信学会 総合大会  2019/03
• 様々な分岐点が混在する領域におけるNLPSOによる分岐点探索の問題点

  松下 春奈; 黒川 弘章; 高坂 拓司

  2019年 電子情報通信学会 総合大会  2019/03
• Similarity analysis of Rock-Scissors-Paper game strategy using homology search

  Takahiro KOMAI; Song-ju KIM; Haruna MATSUSHITA; Takuji KOUSAKA; Hiroaki KUROKAWA

  IEEE Workshop on Nonlinear Circuit Networks (NCN'18)  2018/12
• 可視光通信におけるディープラーニングを用いた撮影画像の分類  [Not invited]

  廣末 拓己; 松下 春奈; 荒井 伸太郎

  平成30年度 電気関係学会 四国支部連合大会  2018/09
• 入れ子構造型粒子群最適化による分岐点探索手法のサドルノード分岐点探索への拡張  [Not invited]

  松下 春奈; 黒川 弘章; 高坂 拓司

  電子情報通信学会 非線形問題研究会 技術報告  2018/08
• Parameter Setting of K-Means Clustering with Modifying Firefly Algorithm  [Not invited]

  Masaki TAKEUCHI; Thomas OTT; Haruna MATSUSHITA; Yoko UWATE; Yoshifumi NISHIO

  Proceedings of IEEE Workshop on Nonlinear Circuit Networks (NCN'17)  2017/12
• Deriving Method of Period Doubling Bifurcation Point by Modified PSO  [Not invited]

  Kenji YAMAZAKI; Hiroaki KUROKAWA; Haruna MATSUSHITA; Takuji KOUSAKA

  Proceedings of IEEE Workshop on Nonlinear Circuit Networks (NCN'17)  2017/12
• 粒子群最適化を用いた一次元離散力学系に対するborder collision分岐点導出法  [Not invited]

  酒井基光; 富村祐翔; 黒川弘章; 松下春奈; 高坂拓司

  電気・情報関係学会九州支部連合大会講演論文集(CD-ROM)  2017/09
• Bifurcation Analysis Method by Using PSO with Fluctuating Acceleration Coefficients  [Not invited]

  YAMAZAKI Kenji; KITAJIMA Hiroyuki; KUROKAWA Hiroaki; KOUSAKA Takuji; MATSUSHITA Haruna

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2017/09
• Parameter Setting of K-Means Clustering used Firefly Algorithm Modified Random Component  [Not invited]

  TAKEUCHI Masaki; OTT Thomas; MATSUSHITA Haruna; UWATE Yoko; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2017/09
• イメージセンサ型可視光通信における差分進化を用いた擬似撮影画像に基づく信号復調法のパラメータ依存性に関する一検討  [Not invited]

  荒井伸太郎; 松下春奈; 大平祐生; 圓道知博

  電子情報通信学会大会講演論文集(CD-ROM)  2017/03
• 2つのPSOを用いた一次元離散時間力学系の局所分岐点導出法  [Not invited]

  富村祐翔; 黒川弘章; 松下春奈; 高坂拓司

  電子情報通信学会大会講演論文集(CD-ROM)  2017/03
• A Study on Computational Cost Reduction Using Differential Evolution for Signal Demodulation Method Based on Pseudo-Captured Image in Image-Sensor-Based Visible Light Communication  [Not invited]

  荒井 伸太郎; 松下 春奈; 大平 祐生; 圓道 知博

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報  2016/11
• A Study on Computational Cost Reduction Using Differential Evolution for Signal Demodulation Method Based on Pseudo-Captured Image in Image-Sensor-Based Visible Light Communication  [Not invited]

  荒井伸太郎; 松下春奈; 大平祐生; 圓道知博

  電子情報通信学会技術研究報告  2016/10
• 粒子群最適化を用いた一次元離散時間力学系の分岐点導出法の拡張  [Not invited]

  富村祐翔; 黒川弘章; 松下春奈; 高坂拓司

  電気・情報関係学会九州支部連合大会講演論文集(CD-ROM)  2016/09
• Application of PSO with Deflection Technique to Bifurcation Analysis  [Not invited]

  YAMAZAKI Kenji; KUROKAWA Hiroaki; KOUSAKA Takuji; MATSUSHITA Haruna

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2016/09
• Maximum Power Point Search Strategy with Particle Swarm Optimization for Photovoltaic Model  [Not invited]

  松下 春奈; 黒川 弘章; 高坂 拓司

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報  2016/09
• Maximum Power Point Search Strategy with Particle Swarm Optimization for Photovoltaic Model  [Not invited]

  松下春奈; 黒川弘章; 高坂拓司

  電子情報通信学会技術研究報告  2016/09
• 2つのPSOによる分岐点導出手法のサドルノード分岐への適用  [Not invited]

  松下春奈; 富村祐翔; 黒川弘章; 高坂拓司

  電子情報通信学会大会講演論文集(CD-ROM)  2016/09
• Particle Swarm Optimization for Calculating Period Doubling Bifurcation Point in One-dimensional Discrete Time Dynamical Systems  [Not invited]

  富村 祐翔; 黒川 弘章; 松下 春奈; 高坂 拓司

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報  2016/07
• Particle Swarm Optimization for Calculating Period Doubling Bifurcation Point in One-dimensional Discrete Time Dynamical Systems  [Not invited]

  富村祐翔; 黒川弘章; 松下春奈; 高坂拓司

  電子情報通信学会技術研究報告  2016/07
• Firefly Algorithm Changing Parameters of Females  [Not invited]

  武内 将希; 松下 春奈; 上手 洋子; 西尾 芳文

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報  2016/05
• Firefly Algorithm Changing Parameters of Females  [Not invited]

  武内将希; 松下春奈; 上手洋子; 西尾芳文

  電子情報通信学会技術研究報告  2016/05
• トランスルーセントEONにおけるBRCFFを用いたVER配置及び経路探索手法の検討  [Not invited]

  電子情報通信学会 NOLTAソサイエティ大会  2016
• Female Percentage in Firefly Algorithm  [Not invited]

  電子情報通信学会 NOLTAソサイエティ大会  2016
• Performance of Swarm Optimizations with Different Chaotic Structures  [Not invited]

  2016 IEEE Workshop on Nonlinear Circuit Netwroks  2016
• Improved Firefly Algorithms Including Slow Fireflies  [Not invited]

  2016 IEEE Workshop on Nonlinear Circuit Netwroks  2016
• Deriving Method of Multiple Period Doubling Bifurcation Points by Using PSO  [Not invited]

  2016 IEEE Workshop on Nonlinear Circuit Netwroks  2016
• Application of path planning algorithm by slime molds  [Not invited]

  上村 昌史; 松下 春奈

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報  2015/10
• Application of path planning algorithm by slime molds  [Not invited]

  上村昌史; 松下春奈

  電子情報通信学会技術研究報告  2015/09
• Firely Algorithm Using Familiarity Degree  [Not invited]

  KAWANO Saki; MATSUSHITA Haruna

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2015/09
• Firefly Algorithm Distinguishing between Males and Females  [Not invited]

  TAKEUCHI Masaki; MATSUSHITA Haruna; UWATE Yoko; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2015/09
• Maze solving algorithm by a slime molds model  [Not invited]

  UEMURA Masafumi; MATSUSHITA Haruna

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2015/09
• Spectrum Assignment Method in Consideration of Free Spaces for Translucent Elastic Optical Networks  [Not invited]

  YAMAZAKI Kenji; MATSUSHITA Haruna; JINNO Masahiko

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2015/09
• Firefly Algorithm That Connections Change Dynamically  [Not invited]

  松下 春奈

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報  2015/04
• Bee Algorithm using Voronoi Diagram  [Not invited]

  上村 昌史; 松下 春奈

  電子情報通信学会技術研究報告 = IEICE technical report : 信学技報  2015/04
• Bee Algorithm using Voronoi Diagram  [Not invited]

  上村昌史; 松下春奈

  電子情報通信学会技術研究報告  2015/04
• Firefly Algorithm That Connections Change Dynamically  [Not invited]

  松下春奈

  電子情報通信学会技術研究報告  2015/04
• Evaluating availability and Solving Shortest Path Problems by Adaptable Independent-minded Particle Swarm Optimization  [Not invited]

  ISHII Yoko; MATSUSHITA Haruna

  IEICE technical report. Nonlinear problems  2014/10 

  The Shortest-Path Problem (SPP) is one of the most fundamental problems in graph theory. We proposed to investigate on the applicability of Adaptable Independent-minded PSO (AIPSO) for SPP. This study investigates on the effectiveness of AIPSO for complex SPPs.
• Independent-Minded Firefly Algorithm  [Not invited]

  松下 春奈

  回路とシステムワークショップ論文集 Workshop on Circuits and Systems  2014/08
• Application of Particle Swarm Optimization to Routing and Wavelength Assignment Problem  [Not invited]

  IEEE Workshop on Nonlinear Circuit Networks  2014
• 画像・音声信号に対するHMGDの自動補整効果  [Not invited]

  川上裕介; 服部哲郎; 松下春奈; 今井慈郎; 泉哲也; 河野弘道

  電気関係学会関西連合大会講演論文集(CD-ROM)  2013/11
• Solving Shortest Path Problems of Complex Networks Using Adaptable Independent-minded Particle Swarm Optimization  [Not invited]

  ISHII Yoko; MATSUSHITA Haruna

  IEICE technical report. Nonlinear problems  2013/10 

  The Shortest Path Problem (SPP) is one of the most fundamental problems in graph theory. The purpose of this study is to investigate on the applicability of Adaptable Independent-minded Particle Swarm Optimization (AIPSO) for SPP.
• Discrete Firefly Algorithm Using Familiarity Degree and Its Application to QAP  [Not invited]

  ISHIKAWA Mami; MATSUSHITA Haruna

  IEICE technical report. Nonlinear problems  2013/10 

  This study modifies Discrete Firefly Algorithm (DFA) and proposes a DFA using Familiarity Degree (FDFA).We apply FDFA to various Quadratic Assignment Problems (QAPs),which are well-known discrete optimization problems, and confirm the effectiveness of FDFA.
• Firefly Algorithm Searching Multiple Solutions  [Not invited]

  UEMURA Masafumi; MATSUSHITA Haruna

  IEICE technical report. Nonlinear problems  2013/10 

  This study proposes a Firefly Algorithm Searching Multiple Solutions (MSFA). We confirm that MSFA can find the multiple solutions for maximization optimization problem and minimization optimizationincluding local optima and global optima.
• Solving Shortest Path Problems Using Adaptable Independent-minded Particle Swarm Optimization  [Not invited]

  ISHII Yoko; MATSUSHITA Haruna

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2013/09
• Discrete Firefly Algorithm Using Familiarity Degree  [Not invited]

  ISHIKAWA Mami; MATSUSHITA Haruna

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2013/09
• Firefly Algorithm Searching Multiple Solutions  [Not invited]

  UEMURA Masafumi; MATSUSHITA Haruna

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2013/09
• Reduction of Computation Amount by Independent-minded Particle Swarm Optimization  [Not invited]

  松下 春奈

  回路とシステムワークショップ論文集 Workshop on Circuits and Systems  2013/07
• Appropriate Parameter Setting of Independent-Minded Particle Swarm Optimization  [Not invited]

  松下 春奈

  回路とシステムワークショップ論文集 Workshop on Circuits and Systems  2012/07
• Swarm-Based Optimization with Dynamically-Changing Topology  [Not invited]

  IEEE Workshop on Nonlinear Circuit Networks  2012
• Network-Structured Firefly Algorithm  [Not invited]

  IEEE Workshop on Nonlinear Circuit Networks  2012
• 自立心を持つ粒子群最適化法とその振る舞い  [Not invited]

  松下春奈; 西尾芳文; 斎藤利通

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2011/09
• Ant Colony Optimization Changing the Rate of Dull Ants for QAP  [Not invited]

  SHIMOMURA Sho; MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2011/09
• Ant Colony Optimization using Genetic Information for TSP  [Not invited]

  SHIMOMURA Sho; MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2011/05 

  This study proposes an Ant Colony Optimization using Genetic Information (GIACO). GIACO algorithm combines Ant Colony Optimization (ACO) with Genetic Algorithm (GA). GIACO searches solutions using the pheromone of ACO and the genetic information of GA. In addition, the ant which cannot trail the pheromone is caused by the mutation. We apply GIACO to Traveling Salesman Problems (TSPs) and confirm that GIACO obtains more effective results than the conventional ACO and the conventional GA.
• On Classification Function of Radial Basis ART Maps  [Not invited]

  ENOSAWA Yoko; MATSUSHITA Haruna; SAITO Toshimichi

  IEICE technical report. Neurocomputing  2011/02 

  In this paper, we present a new application of radial basis adaptive resonance theory Maps (RB-ARTMAP) to classification problems. The RB-ARTMAP can classify a set of analog input data by circle-shaped categories. The RB-ARTMAP uses a new distance that measures the similarities of an input and categories. The RB-ARTMAP has an simpler learning algorithm than other ART systems. Using basic three benchmarks, we have confirmed that our algorithm is competitive at classification function with Fuzzy-ARTMAP and support vector machine (SVM).
• Growing Ant Colony Optimization with Intelligent and Dull Ants and its Application to TSP  [Not invited]

  IEEE Workshop on Nonlinear Circuit Networks  2011
• Particle Swarm Optimization Containing Cooperative Particles  [Not invited]

  SUGIMOTO Masaki; MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2010/09
• ACO with Intelligent and Dull Ants for QAP  [Not invited]

  SHIMOMURA Sho; SUGIMOTO Masaki; MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2010/09
• Particle Swarm Optimization Containing Plural Swarms whose Particles have Different Features  [Not invited]

  杉本雅樹; 松下春奈; 西尾芳文

  電子情報通信学会技術研究報告  2010/07 

  This study proposes a new Particle Swarm Optimization (PSO) algorithm containing plural swarms whose particles have different features. Each particle of the proposed PSO belongs to one of plural swarms, which have different characteristics, and the particle periodically changes the swarm that it belongs to. We confirm the effectiveness of the proposed PSO for both unimodal and multimodal functions with various dimensions.
• Particle Swarm Optimization Containing Plural Swarms whose Particles have Different Features  [Not invited]

  SUGIMOTO Masaki; MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2010/07 

  This study proposes a new Particle Swarm Optimization (PSO) algorithm containing plural swarms whose particles have different features. Each particle of the proposed PSO belongs to one of plural swarms, which have different characteristics, and the particle periodically changes the swarm that it belongs to. We confirm the effectiveness of the proposed PSO for both unimodal and multimodal functions with various dimensions.
• Behavior of Ant Colony Optimization with Intelligent and Dull Ants  [Not invited]

  下村将; 杉本雅樹; 原口卓; 松下春奈; 西尾芳文

  電子情報通信学会技術研究報告  2010/06 

  This study proposes a new Ant Colony Optimization (ACO) method; ACO with Intelligent and Dull Ants (IDACO). In IDACO algorithm, two kinds of ants coexist: intelligent ants and dull ants. IDACO algorithm is nearer to the real ant colony than the standard ACO algorithm. We apply IDACO to Traveling Salesman Problems (TSPs) and confirm that IDACO obtains more effective results than the standard ACO which consists of only the intelligent ants.
• NLP2010-20 Behavior of Ant Colony Optimization with Intelligent and Dull Ants  [Not invited]

  SHIMOMURA Sho; SUGIMOTO Masaki; HARAGUCHI Taku; MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2010/06 

  This study proposes a new Ant Colony Optimization (ACO) method; ACO with Intelligent and Dull Ants (IDACO). In IDACO algorithm, two kinds of ants coexist: intelligent ants and dull ants. IDACO algorithm is nearer to the real ant colony than the standard ACO algorithm. We apply IDACO to Traveling Salesman Problems (TSPs) and confirm that IDACO obtains more effective results than the standard ACO which consists of only the intelligent ants.
• Network-Structured Particle Swarm Optimizer with Various Topology  [Not invited]

  MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2010/03 

  This study proposes Network-Structured Particle Swarm Optimizer (NS-PSO) with various neighborhood topology. The proposed PSO has the various network topology as rectangular, hexagonal, cylinder and toroidal. We apply NS-PSO with various topology to optimization problems. We investigate their behaviors and evaluate what kind of topology would be the most appropriate for each function.
• Particle Swarm Optimization Containing Shared Velocity  [Not invited]

  IEEE Workshop on Nonlinear Circuit Networks  2010
• Analysis of Classication Precision with Radial Basis ARTMAP and Nonlinear SVM  [Not invited]

  IEEE Workshop on Nonlinear Circuit Networks  2010
• Radial Basis ART and its Basic Application  [Not invited]

  IEEE Workshop on Nonlinear Circuit Networks  2010
• Particle Swarm Optimization Containing Plural Swarms with Influence  [Not invited]

  SUGIMOTO Masaki; HARAGUCHI Taku; MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2009/09
• Ant Colony Optimization with Intelligent and Dull Ants  [Not invited]

  SHIMOMURA Sho; SUGIMOTO Masaki; HARAGUCHI Taku; MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2009/09
• Behavior of Community Self-Organizing Map  [Not invited]

  HARAGUCHI Taku; MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2009/09
• Fuzzy ART Relieving Vigilance  [Not invited]

  ISAWA Haruka; MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2008/09
• Particle Swarm Optimization Containing Multiple Swarms  [Not invited]

  SUGIMOTO Masaki; HARAGUCHI Taku; MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2008/09
• Clustering of Lazy Self-Organizing Map Considering Lazy-Neuron Rate  [Not invited]

  HARAGUCHI Taku; MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2008/09
• Nonlinear Spring Model of Self-Organizing Map Arranged in Rectangular Grid and its Chaotic Behaviors  [Not invited]

  MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2008/09
• Behaviors of Lazy Self-Organizing Map Considering Lazy-Neuron Rate  [Not invited]

  HARAGUCHI Taku; MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2008/07 

  The Self-Organizing Map (SOM) is unsupervised neural networks introduced by Kohonen. The SOM attracts attentions for clustering in these years. In the previous study, we have proposed the Lazy Self-Organizing Map (LSOM), whose learning rate depends on only each neuron's character. Meanwhile, the learning rate of the conventional SOM depends on learning step. We investigated its behaviors, however, we confirmed that the previous LSOM tend to obtain effective map reflecting the distribution state of the input data and a strongly twist map than the conventional SOM. In this study, we propose an improved LSOM, whose learning rate depends on each neuron's character, lazy-neuron rate and decreases according to learning step. We apply the improved LSOM considering lazy-neuron rate to various input data set and confirm its behaviors and effectiveness.
• Nonlinear Spring Model of Self-Organizing Map Arranged in Rectangular Grid  [Not invited]

  MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2008/07 

  In this study, we propose a nonlinear spring model of Self-Organizing Map (SOM) arranged in 2-dimensional grid. The neurons of the proposed model consists of N×M neurons located at a rectangular grid and are connected by the nonlinear spring. We investigate the chaotic behaviors of the model connected in 2×2 and 5×5.
• Self-organization considering neighborhood relationship between neurons  [Not invited]

  松下 春奈; 西尾 芳文

  回路とシステム軽井沢ワークショップ論文集  2008/04
• Lazy Self-Organizing Map for Effective Self-Organization  [Not invited]

  HARAGUCHI Taku; MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2008/03 

  The Self-Organizing Map (SOM) is a famous algorithm for the unsupervised learning and visualization introduced by Teuvo Kohonen. This study proposes the Lazy Self-Organizing Map (LSOM) algorithm which reflects the world of worker ants. In LSOM, three kinds of neurons exist: worker neurons, lazy neurons and indecisive neurons. We apply LSOM to various input data set and confirm that LSOM can obtain a more effective map reflecting the distribution state of the input data than the conventional SOM.
• Batch-Learning Self-Organizing Map with False-Neighbor Degree for Effective Self-Organization  [Not invited]

  MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2008/01 

  This study proposes a Batch-Learning Self-Organizing Map with False-Neighbor degree between neurons (called BL-FNSOM). False-neighbor degrees are allocated between adjacent rows and adjacent columns of BL-FNSOM. The initial values of all of the false-neighbor degrees are set to zero, however, they are increased with learning, and the false-neighbor degrees act as a burden of the distance between map nodes when the weight vectors of neurons are updated. BL-FNSOM changes the neighborhood relationship more flexibly according to the situation and the shape of data although using batch learning. We apply BL-FNSOM to some input data and confirm that FN-SOM can obtain a more effective map reflecting the distribution state of input data than the conventional Batch-Learning SOM.
• Neural Gas Containing Two Kinds of Neurons and its Behaviors  [Not invited]

  KANDA Keiko; MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2008/01 

  In this study, we propose two new Neural Gas algorithms. One method is the Neural Gas Containing Two Kinds of Neurons (called TN-NG). In TN-NG, all neurons learn according to own character at each learning. The other method is the Neural Gas Containing Two Kinds of Update Functions (called TF-NG). In TF-NG, all neurons learn according to winner's character at each learning. The behavior of TN-NG and TF-NG is investigated with computer simulation. We confirm that TN-NG and TF-NG can obtain the more effective learning results than the conventional Neural Gas.
• SOM with False Neighbor Degree between Neurons  [Not invited]

  MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2007/09
• Self-Organizing Map Considering Winning Frequency  [Not invited]

  HARAGUCHI Taku; TOMITA Masato; MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2007/09
• Fuzzy ARTMAP with Group Learning  [Not invited]

  ISAWA Haruka; TOMITA Masato; MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2007/09
• Neural Gas Containing Two Kinds of Neurons  [Not invited]

  KANDA Keiko; MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2007/09
• Nonlinear Spring Model of Self-Organizing Map and its Chaotic Behavior  [Not invited]

  MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2007/06 

  The Self-Organizing Map (SOM) is an unsupervised neural network introduced by Kohonen and is a model simplifying self-organization process of the brain. However, SOM is still far away from the realization of the brain mechanism. In order to realize more powerful and more flexible mechanism, it is important to propose new models of the brain mechanism and to investigate their behaviors. In this study, as the first step to realize a new nonlinear spring model of SOM, we propose a simple one dimensional 2-neuron model connected by a nonlinear spring. We investigate its behavior under a simple assumption where input vectors are given to the model periodically. Furthermore, in order to investigate the behavior of the nonlinear spring model of SOM, we calculate one-parameter bifurcation diagram and the largest Lyapunov exponent of the proposed model. Computer simulated results show that the neurons oscillate chaotically.
• 再結合する自己組織化マップとその応用  [Not invited]

  松下春奈; 西尾芳文

  電子情報通信学会大会講演論文集  2007/03
• A-2-21 REUNIFYING SELF-ORGANIZING MAP AND ITS APPLICATION  [Not invited]

  Matsushita Haruna; Nishio Yoshifumi

  Proceedings of the IEICE General Conference  2007/03
• Fuzzy ART with Group Learning  [Not invited]

  ISAWA Haruka; TOMITA Masato; MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2007/01 

  Adaptive Resonance Theory (ART) is an unsupervised neural network based on competitive learning which is capable of automatically finding categories and creating new ones. Fuzzy ART is a variation of ART, allows both binary and continuous input pattern. Fuzzy ART has limits of category space size by the vigilance parameter. Thus, input data are classified in each appropriate category. However, Fuzzy ART often makes input data of the common categories classify several categories. In this study, we propose an additional step, called "Group Learning", for Fuzzy ART in order to obtain more effective categorization. This algorithm is called Fuzzy ART with Group Learning (Fuzzy ART-GL). The important feature of group learning is that creating a connection between similar categories. We investigate the behavior of Fuzzy ART-GL with application to the recognition problems.
• Gray Scale Display Method Using Shooting SOM  [Not invited]

  TOMITA Masato; MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2007/01 

  The Self-Organizing Map (SOM) is unsupervised neural network introduced by Teubo Kohonen. One of the most attractive applications of SOM is data visualization. In the previous study, we have proposed a new type of SOM algorithm, which is called Shooting SOM (SSOM) algorithm. The important feature of SSOM is that the neurons move like aiming at a target, namely, only some neurons near the cluster move toward the cluster to hit the area where input data are concentrated and 1-neighborhood neurons of the winner neuron get away a fraction of an inch from the cluster. Because of this feature, SSOM tends to self-organize each cluster along the figure of each cluster. We investigate the behavior of SSOM and apply SSOM to data visualization problems.
• Self-Organizing Map Considering False Neighboring Neuron and its Applications  [Not invited]

  MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2007/01 

  In the real world, it is not always true that the next-door house is close to my house, in other words, "neighbors" are not always "true neighbors". In this study, we propose a new Self-Organizing Map (SOM) algorithm which considers the False Neighboring Neuron (called FNN-SOM). The FNN-SOM self-organizes with considering the real neighboring relation. The behavior of FNN-SOM is investigated with learning for various input data. We confirm that we can obtain the more effective map reflecting the distribution state of input data than the conventional SOM.
• Behavior of Fatigable SOM with Fatigue Level  [Not invited]

  TOMITA Masato; MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2006/09
• Reunifying Self-Organizing Map for Effective Clustering  [Not invited]

  MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2006/09
• Combining Overlapped Category Spaces Fuzzy ART  [Not invited]

  ISAWA Haruna; TOMITA Masato; MATSUSHITA Haruna; NISHIO Yoshifumi

  電気関係学会四国支部連合大会講演論文集(CD-ROM)  2006/09
• CHAOSOM and its Application to Traveling Salesman Problem  [Not invited]

  MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2006/03 

  In this study, we try to implant chaotic features into the learning algorithm of self-organizing map. We call this concept as Chaotic SOM (CHAOSOM). As a first step to realize CHAOSOM, we consider the case that learning rate and neighboring coefficient of SOM are refreshed by chaotic pulses generated by the Hodgkin-Huxley equation. We apply the CHAOSOM to solve a traveling salesman problem and confirm that the chaotic feature improves the performance.
• A-2-16 STUDY OF SELF-ORGANIZING CAPABILITY OF TENTACLED SELF-ORGANIZING MAP  [Not invited]

  Matsushita Haruna; Nishio Yoshifumi

  Proceedings of the IEICE General Conference  2006/03
• Fatigable SOM and its Application to Clustering  [Not invited]

  TOMITA Masato; MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2006/01 

  The Self-Organizing Map (SOM) is unsupervised neural network introduced by Teubo Kohonen. SOM attracts attentions for clustering in these years. In this study, we propose the Fatigable SOM (FSOM) algorithm. The neurons of ESOM are fatigable, namely, the neurons which have become a winner can not become a winner during a certain period of time. FSOM self-organizes only cluster of the input data which includes a lot of noises. The behaviors of FSOM are investigated with applications to clustering the input data including a lot of noises. We can see that FSOM successfully extracts only cluster.
• Estimation of Embedding Dimension Using Self-Organizing Map  [Not invited]

  MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2006/01 

  In order to analyze nonlinear time series, the embedding is very important. In the embedding process, we must determine the appropriate embedding dimension with time-delay to reconstruct attractors. In this study, we propose a method to estimate the embedding dimension using Self-Organizing Map (SOM). We can obtain the map reflecting the distribution state of input data using SOM. We carry out simulations for the time series obtained from the Henon map, the Ikeda map, and the Lorenz equations, and confirm that our method is useful to estimate the appropriate embedding dimensions.
• Research on Competing and Accommodating Behaviors of Peace SOM  [Not invited]

  MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Neurocomputing  2005/11 

  The Self-Organizing Map (SOM) attracts attentions for clustering in these years. In our past study, we have proposed a method using simultaneously two kinds of SOMs whose features are different, namely, one self-organizes the area on which input data are concentrated, and the other self-organizes the whole of the input space. Further, we have applied this method to clustering of data including a lot of noises and have confirmed the efficiency. However, in order to obtain an efficient clustering performance using this method, we must determine the appropriate number of the SOMs used in the method. In this study, we propose the Peace Self-Organizing Map (PSOM) algorithm which possesses both competing and accommodating abilities. The competing and the accommodating behaviors of PSOM are investigated with applications to clustering input data including a lot of noises. We can see that PSOM successfully extracts clusters even in the case that we do not know the number of clusters in advance.
• Research on Clustering Using Two Kinds of SOMs  [Not invited]

  MATSUSHITA Haruna; NISHIO Yoshifumi

  IEICE technical report. Nonlinear problems  2005/06 

  The Self-Organizing Map (SOM) is an unsupervised neural network introduced in the 80's by Teuvo Kohonen. In this study, we propose a method of using simultaneously two kinds of SOMs whose features are different. Namely, one is distributed in the area on which input data are concentrated, and the other self-organizes the whole of the input space. The competing behavior of the two kinds of SOMs for nonuniform input data is investigated. Furthermore, we show its application to clustering and confirm the efficiency by comparing with the k-means method.

MISC

• Tracking Method for Bifurcation Points in Discrete-Time Systems using Nelder-Mead Method

  細田舞; 北島博之; 松下春奈; 高坂拓司  電子情報通信学会技術研究報告(Web)  124-  (362(NLP2024 92-105))  2025
• DE-based derivation method of period-doubling bifurcation points with consideration of the transversality condition

  山崎涼平; 武田健太郎; 高坂拓司; 松下春奈  電子情報通信学会技術研究報告(Web)  125-  (69(NLP2025 1-23))  2025
• Separatrix loops derivation method in two-dimensional autonomous systems with differential evolution

  仁賀康太; 津元国親; 松下春奈; 高坂拓司  電子情報通信学会技術研究報告(Web)  124-  (62(NLP2024 14-40))  2024
• Algorithm and Software Investigation for Bifurcation Point Detection via Parallel Nested-Layer Particle Swarm Optimization

  長谷川朝; 松下春奈; 高坂拓司; 黒川弘章  電子情報通信学会技術研究報告(Web)  122-  (436(NLP2022 107-155))  2023
• Derivation of border-collision bifurcation points for dynamical systems with intermittent operating characteristics using PSO

  吉冨正敏; 藤田実沙; 松下春奈; 高坂拓司  電子情報通信学会技術研究報告(Web)  123-  (203(NLP2023 29-58))  2023
• Application of DE-based Bifurcation Point Detection Strategy to Non-Autonomous Systems

  松下春奈; 黒川弘章; 高坂拓司  電子情報通信学会技術研究報告(Web)  123-  (287(NLP2023 59-81))  2023
• Manifold Tracking Method in Discrete-Time Systems using Particle Swarm Optimization

  細田舞; 北島博之; 松下春奈; 高坂拓司  電子情報通信学会技術研究報告(Web)  123-  (287(NLP2023 59-81))  2023
• Extension of Bifurcation Point Search Application with Parallel NLPSO to Continuous-Time Dynamical Systems

  長谷川朝; 松下春奈; 高坂拓司; 黒川弘章  電子情報通信学会技術研究報告(Web)  123-  (287(NLP2023 59-81))  2023
• Homoclinic points calculation method in two-dimensional discrete dynamical systems with particle swarm optimization

  牧野達海; 松下春奈; 美井野優; 高坂拓司  電子情報通信学会技術研究報告(Web)  121-  (335(NLP2021 69-125))  2022
• Bifurcation point detection method using single differential evolution

  安達良; 松下春奈; 黒川弘章; 高坂拓司  電気・電子・情報関係学会四国支部連合大会講演論文集(CD-ROM)  2022-  2022
• Performance Investigation of Bifurcation Point Search Method Using Differential Evolution in Discrete Dynamical Systems

  安達良; 松下春奈; 黒川弘章; 高坂拓司  電子情報通信学会技術研究報告(Web)  121-  (61(NLP2021 1-14))  2021
• PSO-based Bifurcation Point Detection with Numerical Differentiation

  川下貴士; 松下春奈; 黒川弘章; 高坂拓司  電気・電子・情報関係学会四国支部連合大会講演論文集(CD-ROM)  2021-  2021
• Application of bifurcation point detection method by improved nested-layer particle swarm optimization to two-dimensional discrete dynamical systems

  平山鷹哉; 松下春奈; 黒川弘章; 高坂拓司  電子情報通信学会技術研究報告(Web)  121-  (307(NLP2021 43-68))  2021
• PSO-based Bifurcation Point Detection of Discrete-Time Dynamical System with Numerical Differentiation

  川下貴士; 松下春奈; 黒川弘章; 高坂拓司  電子情報通信学会技術研究報告(Web)  121-  (307(NLP2021 43-68))  2021

Awards & Honors

• 2016 Research Institute of Signal Processing Japan Best Paper Award
   Network-Structured Particle Swarm Optimizer That Considers Neighborhood Distances and Behaviors JPN 

  受賞者: Haruna MATSUSHITA;Yoshifumi NISHIO;Chi K. TSE
• 2010 IEEE CASS Shikoku Chapter Young Researcher Award
   JPN
• 2009 社団法人 電子情報通信学会 第21回 回路とシステム軽井沢ワークショップ奨励賞
   JPN
• 2007 社団法人 電子情報通信学会 平成18年度 学術奨励賞
   JPN
• IEICE Research Society of Nonlinear Theory and its Applications NOLTA'08 Student Paper Award
   

  受賞者: Haruna MATSUSHITA
• ICCCAS'07 Steering Committee ICCCAS'07 Best Paper Award
   

  受賞者: Haruna MATSUSHITA;Yoshifumi NISHIO

Research Grants & Projects

• 群知能型最適化法による手軽なホモクリニック分岐導出法の提案と応用

  日本学術振興会：科学研究費助成事業 基盤研究(C)

  Date (from‐to) : 2022/04 -2025/03 

  Author : 松下 春奈
• 進化計算最適化法を用いた様々なシステムを対象とする手軽な分岐点導出法の提案と応用

  Japan Society for the Promotion of Science：Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)

  Date (from‐to) : 2019/04 -2023/03 

  Author : 松下 春奈

   

  本研究では、進化計算最適化法による、手軽かつ高精度な分岐解析手法の提案を目的としている。これまでに提案した粒子群最適化(PSO)による分岐探索手法は、様々な分岐曲線が混在する領域の分岐点探索において、正しく分岐点を検出できない問題点があった。また、周期数が高い分岐点の場合、探索に時間がかかることもわかっていた。本年度は、主にこれら2点の問題点の更なる調査、および、その解決法の提案を行った。 まず、正しく分岐点を検出できない状況が、探索対象としている周期の約数周期が探索領域に混在する場合に起因していることを確認した。また、この問題を解決する新たな目的関数を提案し、既存の手法と比較した場合の違いや利点について詳細に調査した。これらの結果は学術論文として発表した。 次に、探索時間の削減に関する研究を行った。まず、入れ子構造型PSO（NLPSO）をGPUへ実装し、大幅な計算時間短縮に成功した。本手法は単純にNLPSOにGPUへ適用するのではなく、より効率的な分岐点探索を可能とする工夫を取り入れた手法である。この成果は学術論文として発表した。 また、既存の手法であるPSOと比較し、差分進化（DE）が分岐点探索に適していることを詳細に調査、考察した。まず入れ子構造型DEでその有効性を確認した。次に、単一のDEにも応用し、より高速な分岐点探索の実施を目指して、それらの問題点や適用方法を調査中である。これらの結果は順次国際会議や学術論文として発表予定である。
• Proposal of Easy and Advanced Nonlinear Analysis method by Particle Swarm Optimization

  Japan Society for the Promotion of Science：Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)

  Date (from‐to) : 2016/04 -2019/03 

  Author : Matsushita Haruna

   

  This paper proposes a bifurcation point detection strategy based on nested layer particle swarm optimization (NLPSO). The NLPSO is performed by two particle swarm optimization (PSO) algorithms with a nesting structure. The proposed method is tested in detection experiments of local bifurcation points in discrete-time dynamical systems. The proposed method directly detected the parameters of period doubling bifurcation and saddle-node bifurcation in both discrete-time and continuous dynamical systems, regardless of the stability of the periodic point, but require no careful initialization, exact calculation or Lyapunov exponents. Moreover, the proposed method is an effective detection technique in terms of accuracy, robustness usability, and convergence speed.
• Particle Swarm Optimization that changes its network structure

  Japan Society for the Promotion of Science：Grants-in-Aid for Scientific Research Grant-in-Aid for Young Scientists (B)

  Date (from‐to) : 2012/04 -2016/03 

  Author : Matsushita Haruna

   

  This study proposed a novel Particle Swarm Optimization (PSO) that changes its neighborhood structure dynamically with time. Furthermore, the proposed PSO was applied to various real world applications such as a parameter detection on the circuit design and an multi-objective problems on the communication network.
• 複雑ネットワークの自己組織化マップと粒子群最適化への応用

  Japan Society for the Promotion of Science：Grants-in-Aid for Scientific Research Grant-in-Aid for JSPS Fellows

  Date (from‐to) : 2010 -2010 

  Author : 松下 春奈

   

  1.自己組織化写像(Self-Organizing Map : SOM)は教師なしニューラルネットワークの一つであり、クラスタリング分野で注目されている。SOMは、複数の離れたクラスタを持つ入力データに対して学習を行うと、入力データが存在しない部分にニューロンが存在してしまうという、「不活性ニューロン問題」が発生する。そこで、不活性ニューロンを削減するために、誤り近傍の効果を除去する、重み付けされた結合を持つSOM(WC-SOM)を提案した。これは、SOMのニューロン間に「誤り近傍重み」と呼ばれる新たな指標を用いることで、"本当の近傍"と"間違った近傍"を区別することを可能とする。本手法により、従来法と比較してより柔軟な自己組織化が可能となった。また、クラスタリング制度の向上を確認した。 2.本研究では、複雑ネットワークの新しい考え方を粒子群最適化(Particle Swarm Optimization : PSO)へ応用し、主体性を持つPSO(IPSO)を提案した。本手法の最大の特徴は、各粒子が個別に動くか、粒子群内の他の粒子と情報交換しながら動くかは、確率的に決定される点である。つまり、IPSOの各粒子は常に粒子群と結合されているわけではなく、自立心を持って振舞う。本手法を様々なベンチマーク問題へ応用し、提案手法の振る舞いを調査した。またシミュレーション結果では、従来法と比較して大幅な制度の改善に成功したことを確認した。
• 自己組織化マップを用いたノイズを含むカオス時系列データの解析

  Japan Society for the Promotion of Science：Grants-in-Aid for Scientific Research Grant-in-Aid for JSPS Fellows

  Date (from‐to) : 2007 -2009 

  Author : 松下 春奈

   

  粒子群最適化(Particle Swarm Optimization : PSO)は,鳥の群れの動きをモデル化した群知能の一種である.概念が単純であり実現が容易な上,収束が早いという特徴を持つことから,近年,異なる分野の様々な応用に用いられている.しかしながら,パラメータに大きく依存することや,多数の局所解を持つような複雑な問題を解く場合においての早すぎる収束などが,PSOの問題点として挙げられている. PSOは複数の解(粒子)群で構成され,各粒子は位置と速度の情報を持っている.PSOは,これらの情報を群内で交換しながら良好な位置を探すが,粒子間に特別な繋がりはない.つまり,各粒子の情報は固体が最も良かった位置と群全体で最も良かった位置に従って更新するが,どちらを重要視するかの重みは毎更新ごとにランダムで決められる.しかしながら,実社会においては,上下関係,信頼関係,親子関係などの様々なネットワークが存在している. そこで,近傍関係を考慮するネットワーク構造型内PSO(NS-PSO)を提案し,四角形,六角形,円筒,トロイダルの4種のトポロジーに適用した.シミュレーション結果より,環状トポロジーは,各粒子の最良位置の情報が群全体に伝わりやすいことから,単峰性関数に適していることを確認した.また,六角形トポロジーには振る舞いの異なる様々な粒子が共存しており,早すぎる収束を防ぐことから,複雑な多峰性関数に効果的であることを確かめた.
• Information Processing by Phase Patterns Generated in Chaotic Circuit Networks

  Japan Society for the Promotion of Science：Grants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)

  Date (from‐to) : 2006 -2008 

  Author : NISHIO Yoshifumi; ARAI Shintaro; MATSUSHITA Haruna; AOAO Shuichi; NAKANO Masaru; KINOUCHI Takaaki; KUMENO Hironori

   

  本研究では、多様な位相パターンを発生する大規模カオス回路ネットワークを構築し、回路実験・計算機による数値シミュレーション・理論解析を通して、大規模カオス回路ネットワークの位相パターンの特徴を明らかにするとともに、その情報処理への応用についての調査を行った。特に、新たな解析手法として、ネットワークに発生する位相パターンのカオス的な自己スイッチング現象をマルコフチェインでモデリングする手法を開発した。
• Development of optimization methods based on evolutional computation and its application to nonlinear problems

  Grant-in-Aid for Scientific Research

Committee Membership

• 2020/06 - Today   IEICE, NOLTA Society   Steering Committee Member
• 2020/06 -2022/05   IEICE Engineering Sciences Society, Technical Committee on Nonlinear Problems (NLP)   Secretary

Other link

researchmap

https://researchmap.jp/haruna