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Technical Committee on Nonlinear Problems (NLP) (Searched in: 2013)
Search Results: Keywords 'from:2013-10-28 to:2013-10-28'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP | 2013-10-28 09:30 |
Kagawa | Sanport Hall Takamatsu | Firefly Algorithm Searching Multiple Solutions Masafumi Uemura, Haruna Matsushita (Kagawa Univ.)  NLP2013-69 |
This study proposes a Firefly Algorithm Searching Multiple Solutions (MSFA). We confirm that MSFA can find the multiple ... [more] | NLP2013-69 pp.1-4 |
| NLP | 2013-10-28 09:45 |
Kagawa | Sanport Hall Takamatsu | Alternative Arrangement Cellular Neural Networks for Image Processing Applications Tatsuya Masuoka, Kazushige Natsuno, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2013-70 |
[more] | NLP2013-70 pp.5-8 |
| NLP | 2013-10-28 10:00 |
Kagawa | Sanport Hall Takamatsu | Motion Picture Processing by Two-Layer Cellular Neural Networks with Switching Templates Kazushige Natsuno, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2013-71 |
The structure of Cellular Neural Network(CNN) is grating coupling of analog circuits. The CNN can be used for various im... [more] | NLP2013-71 pp.9-13 |
| NLP | 2013-10-28 10:15 |
Kagawa | Sanport Hall Takamatsu | Analysis of Chua's circuits with transmission lines coupled resistively in opposite direction Naoya Kondo, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2013-72 |
We have investigated synchronization phenomena of chaotic circuits with transmission lines coupled by parallel transmiss... [more] | NLP2013-72 pp.15-18 |
| NLP | 2013-10-28 11:00 |
Kagawa | Sanport Hall Takamatsu | Performance evaluation of the weak signal detection of the Stochastic Resonance Receiver using Schmitt Trigger Keita Chiga, Hiroya Tanaka, Takaya Yamazato (Nagoya Univ.), Yukihiro Tadokoro (Toyota Central R & D Labs), Shintaro Arai (Kagawa National College of Technology) NLP2013-73 |
Stochastic Resonance(SR) is a nonlinear phenomena in which the Signal-to-Noise Ratio(SNR) is en-hanced by an increase of... [more] | NLP2013-73 pp.19-23 |
| NLP | 2013-10-28 11:15 |
Kagawa | Sanport Hall Takamatsu | Transformer by using Distortion Printed Spiral Inductor with Semicircle and Ellipse Yuji Tanada, Kazuyoshi Nishio, Masayuki Yamauchi (Hiroshima Inst. of Tech.), Juri Yamashita, Hidekazu Mishiro, Tsutomu Okimoto (Koyo Denshi) NLP2013-74 |
Many electric transformers are very hevy and large because they have iron core and coil of several turns. In this study... [more] |
NLP2013-74 pp.25-30 |
| NLP | 2013-10-28 11:30 |
Kagawa | Sanport Hall Takamatsu | On Determining Mode in Behavioral Model of Class E Amplifiers Hiroto Kamei, Yuichi Tanji (Kagawa Univ.) NLP2013-75 |
[more] | NLP2013-75 pp.31-34 |
| NLP | 2013-10-28 11:45 |
Kagawa | Sanport Hall Takamatsu | Resonant Converter with Class E_M Inverter Hiroo Sekiya, Tomoharu Nagashima (Chiba Univ.), Xiuqin Wei (Fukuoka Univ.) NLP2013-76 |
(To be available after the conference date) [more] | NLP2013-76 pp.35-40 |
| NLP | 2013-10-28 13:30 |
Kagawa | Sanport Hall Takamatsu | Parameter Search for Solving Quadratic Assignment Problems
-- A Case using Particle Swarm Optimization and GPGPU -- Toshihiro Tachibana (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) NLP2013-77 |
The authors have proposed a method for solving multi-objective optimization problems. The proposed method switches more ... [more] | NLP2013-77 pp.41-46 |
| NLP | 2013-10-28 13:45 |
Kagawa | Sanport Hall Takamatsu | Nonlinear Sparse Optimization with Based on Genetic Algorithm
-- Optimization for Food Ingredients and their Quantities -- Hideki Satoh (Future Univ. Hakodate), Masako Satoh (Intelligent Sensor Technology) NLP2013-78 |
Approximate sparse solutions for a high-dimensional nonlinear optimization problem were derived using a genetic algorith... [more] | NLP2013-78 pp.47-52 |
| NLP | 2013-10-28 14:00 |
Kagawa | Sanport Hall Takamatsu | Investigation of Synchronizations in a Ring of Cross-Coupled Chaotic Circuits Naoto Kageyama, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2013-79 |
Studies on synchronization phenomena are extensively carried out in various fields. Recently, in par- ticular, synchroni... [more] | NLP2013-79 pp.53-57 |
| NLP | 2013-10-28 14:15 |
Kagawa | Sanport Hall Takamatsu | Synchronization of Two Rings with Different Sizes of Coupled Oscillators Honami Kume, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2013-80 |
Synchronization is one of fundamental concepts in the field of nonlinear science and it is important to investigate sync... [more] | NLP2013-80 pp.59-62 |
| NLP | 2013-10-28 15:00 |
Kagawa | Sanport Hall Takamatsu | Mathematical structure of optimal solutions in continuous optimization problems (2)
-- Necessary and sufficient optimality condition, and estimations of the number of solutions -- Hideo Kanemitsu (Hokkaido Univ. of Edu.), Hideyuki Imai (Hokkaido Univ.) NLP2013-81 |
We show mathematical structures of optimal solutions in continuous optimization problem with continuous multivariate mul... [more] | NLP2013-81 pp.63-68 |
| NLP | 2013-10-28 15:15 |
Kagawa | Sanport Hall Takamatsu | Canonical Deterministic Particle Swarm Optimization Kenya Jin'no (Nippon Inst. of Tech.) NLP2013-82 |
A particle swarm optimization (PSO) system is one of the powerful systems for solving global optimization problems. The ... [more] | NLP2013-82 pp.69-72 |
| NLP | 2013-10-28 15:30 |
Kagawa | Sanport Hall Takamatsu | Solution Decision Method of Quadratic Assignment Problem from Mutually Connected Chaotic Neural Network Takafumi Matsuura (Tokyo Univ. of Science), Tohru Ikeguchi (Saitama Univ.) NLP2013-83 |
[more] | NLP2013-83 pp.73-78 |
| NLP | 2013-10-28 15:45 |
Kagawa | Sanport Hall Takamatsu | A Study on Optimizer using Swarm of Chaotic Dynamical Particles Yoshikazu Yamanaka, Tadashi Tsubone (Nagaoka Univ. of Tech) NLP2013-84 |
We propose Optimizer using Swarm of Chaotic Dynamical Particles. One of well-known heuristic optimization method is Part... [more] | NLP2013-84 pp.79-84 |
| NLP | 2013-10-28 16:00 |
Kagawa | Sanport Hall Takamatsu | Synchronization of Ring Inhibitory Neural Network with Polygonal Structure Yuki Shoji, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2013-85 |
Some oscillation models of neural network were proposed in late years (ex. neural oscillator, ring inhibitory neural net... [more] | NLP2013-85 pp.85-88 |
| NLP | 2013-10-28 16:45 |
Kagawa | Sanport Hall Takamatsu | On the Definition of the Determinant of Matrices Yuzo Ohta (Kobe Univ.) NLP2013-86 |
The usual definition of determinant is difficult to understand the idea why this definition is introduced. In this rep... [more] | NLP2013-86 pp.89-93 |
| NLP | 2013-10-28 17:00 |
Kagawa | Sanport Hall Takamatsu | Bifurcation boundaries of quasi-periodic oscillation Yoshimasa Shinotsuka, Naohiko Inaba (Meiji Univ.), Munehisa Sekikawa (Utsunomiya Univ.), Tetsuro Endo (Meiji Univ.) NLP2013-87 |
A two-torus and a three-torus have been a subject of intense research in recent years. There is a hypothesis concerning... [more] |
NLP2013-87 pp.95-98 |
| NLP | 2013-10-28 17:15 |
Kagawa | Sanport Hall Takamatsu | Propagation and Reflection of Phase-Inversion Waves in Phase States of Mixed In-Phase Synchronization and In-and-Anti-Phase Synchronization on Coupled Oscillators as a 2D Lattice. Yoshihito Todani, Masayuki Yamauchi (Hiroshima Inst. of Tech.), Yoshifumi Nishio (Tokushima Univ.) NLP2013-88 |
We have been researching synchronization phenomena on coupled oscillators systems of ladder shapes and lattice shapes. ... [more] |
NLP2013-88 pp.99-104 |
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