Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP |
2012-07-05 12:30 |
Kagoshima |
Kagoshima Sangyou Hall |
A study on the Pade approximation of the delayed feedback control method Shuhei Aono, Shinji Doi (Kyoto Univ.) NLP2012-38 |
The mathematical analysis of the delayed feedback control (DFC) method, which is famous as a simple and convenient chaos... [more] |
NLP2012-38 pp.1-5 |
NLP |
2012-07-05 12:55 |
Kagoshima |
Kagoshima Sangyou Hall |
Controlling Chaos by linear prediction and data lists. Yusuke Miyaji, Daisuke Ito, Tetsushi Ueta (Tokushima Univ.) NLP2012-39 |
In this study, we propose a chaos controlling with a linear prediction and lists. A linear prediction model is the techn... [more] |
NLP2012-39 pp.7-12 |
NLP |
2012-07-05 13:20 |
Kagoshima |
Kagoshima Sangyou Hall |
Experimental Confirmation of Controlling Chaos Utilizing the Threshold Yoshihiko Yamamoto, Hiroyuki Asahara (Oita Univ.), Daisuke Ito, Tetsushi Ueta (The Univ. of Tokushima), Kazuyuki Aihara (The Univ. of Tokyo), Takuji Kousaka (Oita Univ.) NLP2012-40 |
[more] |
NLP2012-40 pp.13-16 |
NLP |
2012-07-05 13:55 |
Kagoshima |
Kagoshima Sangyou Hall |
A New Continuous-Time Algorithm for Calculating Algebraic Connectivity of Multi-Agent Networks Tatsuya Fukami, Norikazu Takahashi (Kyushu Univ.) NLP2012-41 |
How to maintain connectivity is an important issue in mobile agent networks. An approach is to control movement of agent... [more] |
NLP2012-41 pp.17-22 |
NLP |
2012-07-05 14:20 |
Kagoshima |
Kagoshima Sangyou Hall |
Novel Participant Stream Model in Event Site Based on Multi-Agent System Ikuya Maezawa, Kunihiko Mitsubori (Takushoku Univ.) NLP2012-42 |
This paper proposes a model of the participant stream in event site, based on Multi-Agent System. The event site has the... [more] |
NLP2012-42 pp.23-28 |
NLP |
2012-07-05 14:45 |
Kagoshima |
Kagoshima Sangyou Hall |
Digital Circuit Design of A Pedestrian Flow Model Based on Multi-Agent System Takashi Toyofuku, Kunihiko Mitsubori (Takushoku Univ.) NLP2012-43 |
Recently, many researchers try to construct the models of the pedestrian flow by using the cellular automata. Such a mod... [more] |
NLP2012-43 pp.29-34 |
NLP |
2012-07-05 15:20 |
Kagoshima |
Kagoshima Sangyou Hall |
On a slow phase-locked oscillation in globally coupled neuronal oscillators (II) Ryotaro Tsuneki, Shinji Doi (Kyoto Univ.) NLP2012-44 |
We examine the dynamics in a population of globally coupled neuronal oscillators using the three-dimensional Bonhoeffer-... [more] |
NLP2012-44 pp.35-39 |
NLP |
2012-07-05 15:45 |
Kagoshima |
Kagoshima Sangyou Hall |
A numerical study of canard solution in a singularly perturbed system Takahiro Kodama, Shinji Doi (Kyoto Univ.) NLP2012-45 |
In singularly perturbed systems, there are characteristic phenomena such as canards. Canards are periodic orbits which t... [more] |
NLP2012-45 pp.41-46 |
NLP |
2012-07-05 16:10 |
Kagoshima |
Kagoshima Sangyou Hall |
Experimental study of canard-induced MMOs in the extended BVP oscillator and MMOs in a 3-time scale system Naohiko Inaba (Meiji Univ.), Kuniyasu Shimizu (Chiba Inst. of Tech.), Tetsuro Endo (Meiji Univ.) NLP2012-46 |
In this study, we discuss the breakdown of canard-induced MMOs generated in the BVP oscillator. The governing equation i... [more] |
NLP2012-46 pp.47-52 |
NLP |
2012-07-06 09:20 |
Kagoshima |
Kagoshima Sangyou Hall |
Unpredictability of Galton board Kenichi Arai (NTT), Takahisa Harayama (Toyo Univ.), Satoshi Sunada (Kanazawa Univ.), Peter Davis (Telecognix Corp.) NLP2012-47 |
[more] |
NLP2012-47 pp.53-58 |
NLP |
2012-07-06 09:45 |
Kagoshima |
Kagoshima Sangyou Hall |
A Basic Study on Particle Swarm Optimization Based on Chaotic Spiking Oscillator Dynamics Yoshikazu Yamanaka, Tadashi Tsubone (Nagaoka Univ. of Tech.) NLP2012-48 |
In this study, we propose the particle swarm optimization based on chaotic spiking oscillator dynamics(CSOPSO). Our met... [more] |
NLP2012-48 pp.59-64 |
NLP |
2012-07-06 10:10 |
Kagoshima |
Kagoshima Sangyou Hall |
The Experimental Study of the Grazing Bifurcation in an Impact Oscillator with Two Mass System Katsuya Nakadoi, Hiroyuki Asahara (Oita Univ.), Shu Karube (Oita National College of Technology), Takuji Kousaka (Oita Univ.) NLP2012-49 |
[more] |
NLP2012-49 pp.65-68 |
NLP |
2012-07-06 10:45 |
Kagoshima |
Kagoshima Sangyou Hall |
Global Convergence of a Modified Multiplicative Update Algorithm for Convex Quadratic Programming Problems with Nonnegativity Constraints Jiro Katayama, Norikazu Takahashi (Kyushu Univ.) NLP2012-50 |
We consider problems of minimizing a convex quadratic function under
nonnegativity constraints. Sha {\it et al.} propos... [more] |
NLP2012-50 pp.69-73 |
NLP |
2012-07-06 11:10 |
Kagoshima |
Kagoshima Sangyou Hall |
Online medium-term time series prediction
-- evaluation of prediction accuracy -- Yoshito Hirata (Univ. Tokyo), Taiji Yamada, Jun Takahashi (Aihara), Hideyuki Suzuki (Univ. Tokyo) NLP2012-51 |
We propose a method for constructing multi-step predictions and evaluating the predition errors in
advance. The propose... [more] |
NLP2012-51 pp.75-77 |
NLP |
2012-07-06 11:35 |
Kagoshima |
Kagoshima Sangyou Hall |
Some properties of extremal points of solution curves for a class of nonlinear equations Tetsuo Nishi, Shin'ichi Oishi (Waseda Univ.), Norikazu Takahashi (Kyushu Univ.) NLP2012-52 |
[more] |
NLP2012-52 pp.79-84 |
NLP |
2012-07-06 12:10 |
Kagoshima |
Kagoshima Sangyou Hall |
An Effective and Globally Convergent Newton Fixed-Point Homotopy Method for MOS Transistor Circuits Dan Niu, Ziming Zhao, Yasuaki Inoue (Waseda Univ.) NLP2012-53 |
[more] |
NLP2012-53 pp.85-90 |
NLP |
2012-07-06 12:35 |
Kagoshima |
Kagoshima Sangyou Hall |
A Study of Optimization Method by a Recurrent Neural Network for a Smart Grid System Keisuke Kimura, Takayuki Kimura (NIT) NLP2012-54 |
[more] |
NLP2012-54 pp.91-96 |
NLP |
2012-07-06 13:00 |
Kagoshima |
Kagoshima Sangyou Hall |
Performance Evaluation of Stochastic-Resonance-based Delay Network under colored-noise environment Yukihiro Tadokoro (TOYOTA CRDL), Seiya Kasai (Hokkaidou Univ.), Akihisa Ichiki (TOYOTA CRDL) NLP2012-55 |
[more] |
NLP2012-55 pp.97-102 |