Committee 
Date Time 
Place 
Paper Title / Authors 
Abstract 
Paper # 
NLP 
20080131 13:00 
Hokkaido 

All solution for nonlinear equation with GPGPU Keichiro Kashiwagi (Waseda Univ.), Shinya Miyajima (Gifu Univ.), Masahide Kashiwagi, Hajime Uchimura (Waseda Univ.) NLP2007129 
We are numerically able to obtain all solutions of the systems of nonlinear equations with
guaranteed accuracy applyin... [more] 
NLP2007129 pp.16 
NLP 
20080131 13:25 
Hokkaido 

Ray Triangle intersection using Affine arithmetic Hajime Uchimura, Masahide Kashiwagi, Keichiro Kashiwagi (Waseda Univ.) NLP2007130 
In these days, rendering algorithms are getting complex, and target models are getting dense.Those dense triangles cause... [more] 
NLP2007130 pp.711 
NLP 
20080131 13:50 
Hokkaido 

Nonlinear Prediction for Top and Bottom Values of Time Series Masaki Ota, Tomoya Suzuki (Doshisha Univ.) NLP2007131 
To predict stock price and foreign exchange rates, it is efficient to follow only these top and bottom values more than ... [more] 
NLP2007131 pp.1318 
NLP 
20080131 14:15 
Hokkaido 

The Correlation between Centralities of Node and Prediction Accuracy in Complex Network Systems Shinichi Ikeda, Tomoya Suzuki (Doshisha Univ.) NLP2007132 
Some real systems compose networks where each element interacts with each other.We can obtain their behavior as time ser... [more] 
NLP2007132 pp.1924 
NLP 
20080131 14:50 
Hokkaido 

Estimation about The Tone Translation for A Circuit Simulation Yutaka Takakura, Jun Shirataki, Makiko Okumura (KAIT) NLP2007133 
The tone of signal is changed by various methods now.
There is a method of using effector circuits for one of tone tra... [more] 
NLP2007133 pp.2530 
NLP 
20080131 15:15 
Hokkaido 

Design of Auxiliary Circuit on ClassE_M Power Amplifier Ryosuke Miyahara, Hiroo Sekiya, Jianming Lu, Takashi Yahagi (Chiba Univ.) NLP2007134 
The class E$_{\rm M}$ amplifier is composed of class E amplifier and auxiliary circuit output harmonic. The class E$_{\r... [more] 
NLP2007134 pp.3136 
NLP 
20080131 15:40 
Hokkaido 

Design of iinterleaved fullbridge converter Tomomi Dohi, Hiroo Sekiya, Jianming Lu, Takashi Yahagi (Chiba Univ.) NLP2007135 
This paper presents one configuration of the interleaved fullbridge converter.
Approached converter has the following... [more] 
NLP2007135 pp.3740 
NLP 
20080131 16:05 
Hokkaido 

Investigation of Nonlinear Phenomenon in CrossCoupled Chaotic Circuits Yumiko Uchitani, Yoshifumi Nishio (Tokushima Univ.) NLP2007136 
Studies on chaos synchronization in coupled chaotic circuits are extensively carried out in various fields.
In this stu... [more] 
NLP2007136 pp.4144 
NLP 
20080131 16:40 
Hokkaido 

Frequency spectra of chaotic oscillations in the PLL circuit driven with a nonsinusoidal signal Akio Takada, Kazuya Unjo (Hakodate Nat.Col. of Tech.) NLP2007137 
It has been reported that the white noise can be generated from the chaotic PLL circuit of which the dynamics is compati... [more] 
NLP2007137 pp.4550 
NLP 
20080131 17:05 
Hokkaido 

Investigation and Application of the Phenomena in Coupled Oscillators as a Lattice Suguru Yamane, Takeo Imoto, Masayuki Yamauchi (Hiroshima I T) NLP2007138 
A lot of kinds of synchronization phenomena are observed in this nature world. For example, the revolution and the rotat... [more] 
NLP2007138 pp.5156 
NLP 
20080131 17:30 
Hokkaido 

Stability analysis and experimental verification of amplitude death in coupled delay chaotic oscillators. Keiji Konishi, Katsuhisa Senda, Hideki Kokame (Osaka Prefecture Univ.) NLP2007139 
[more] 
NLP2007139 pp.5759 
NLP 
20080131 17:55 
Hokkaido 

Estimate of Attractive Regions of Saturated Systems by using Star Shaped Polytopic Lyapunov Functions Yuzo Ohta (Kobe Univ.) NLP2007140 
We show how the combination of piecewise linear Lyapunov functions and
starshaped polytopic Lyapunov functions can be ... [more] 
NLP2007140 pp.6166 
NLP 
20080201 09:20 
Hokkaido 

A Lossless Steganography Technique for Speech Codec Based on Nonlinear Quantization Naofumi Aoki (Hokkaido Univ.) NLP2007141 
This study proposes a technique of lossless steganography for G.711, the most common codec for digital speech communicat... [more] 
NLP2007141 pp.14 
NLP 
20080201 09:45 
Hokkaido 

An automatic music composition system by using chaotic signal Ayumi Kodaira, Kenya Jin'no (Kanto Gakuin Univ.) NLP2007142 
In this article, we propose an automatic music composition system which uses a chaotic signal. The chaotic signal is gen... [more] 
NLP2007142 pp.58 
NLP 
20080201 10:10 
Hokkaido 

Neural Gas Containing Two Kinds of Neurons and its Behaviors Keiko Kanda, Haruna Matsushita, Yoshifumi Nishio (Tokushima Univ.) NLP2007143 
[more] 
NLP2007143 pp.912 
NLP 
20080201 10:45 
Hokkaido 

ComplexValued Multistate Associative Memory with Nonlinear Multilevel Function Gouhei Tanaka, Kazuyuki Aihara (Tokyo Univ.) NLP2007144 
A complexvalued neural network can be used for multistate associative memory by quantizing a neuronal state into a mult... [more] 
NLP2007144 pp.1318 
NLP 
20080201 11:10 
Hokkaido 

Analysis of Random Boolean Network Dynamics Based on Onedimensional Mapping Nobumitsu Fujiwara, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.) NLP2007145 
The dynamics of random Boolean networks which are used to model a range
of complex phenomena is studied. The states of... [more] 
NLP2007145 pp.1924 
NLP 
20080201 11:35 
Hokkaido 

A Generalised Entropy based Assosiative Memory Masahiro Nakagawa (Nagaoka Univ. of Tech.) NLP2007146 
In this paper, a generalised entropy based associative memory model will be proposed and
applied to memory retrievals w... [more] 
NLP2007146 pp.2530 
NLP 
20080201 13:00 
Hokkaido 

A modified Particle Swarm Optimization to search an optimal value Kai Yamasaki, Tomokadu Kaneko, Kenya Jin'no (Kanto Gakuin Univ.) NLP2007147 
Recently, Particle Swarm Optimization (abbr. PSO) is paid great attention.
PSO is one of the powerful metaheuristic al... [more] 
NLP2007147 pp.3134 
NLP 
20080201 13:25 
Hokkaido 

Hopfield NN Using Scaling Law for Quadratic Assignment Problem Yoshifumi Tada, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2007148 
If the scale of the combinatrial optimization problem becomes large, the problem can not be solved by method of searchin... [more] 
NLP2007148 pp.3538 