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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ASN, MoNA, MICT (Joint) |
2017-01-19 14:50 |
Oita | Method of simple screening Measurement for Radiation Wireless Monitoring by Applying Non-linear Estimation Yoshitsugu Nakagawa, Chisato Murakami (TIRI), Kazuyuki Mori, Haruhiko Sato (ING)  ASN2016-74 |
Five years have passed since the Fukushima nuclear power plant accident, and the decontamination project in disaster are... [more] | ASN2016-74 pp.31-36 |
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| NLP | 2015-10-31 13:50 |
Okinawa | Nobumoto Ohama Memorial Hall | Frequency response analysis of bouncing ball system Yuya Kawazu, Shu Karube (NIT, Oita College), Takuji Kousaka (Oita Univ.) NLP2015-109 |
Bouncing ball system is often used for describing collision vibration generated in machine systems. In this research, we... [more] | NLP2015-109 pp.11-16 |
| RCS, SR, SRW (Joint) |
2015-03-06 14:35 |
Tokyo | Tokyo Institute of Technology | Theoretical BER Performance of Nonlinearly Amplified Uplink OFDMA Signals in the Presence of Terminal Mobility Takahiro Yamaguchi, Kei Nishimura, Fumiaki Maehara (Waseda Univ.) RCS2014-370 |
OFDM has become one of the most promising techniques because of its robustness against the severe frequency selective fa... [more] | RCS2014-370 pp.411-416 |
| NLP | 2014-03-10 13:30 |
Tokyo | Sophia University | Analysis of chaotic response in the Izhikevich neuron model using nonlinear prediction Nozomi Sugiura, Kantaro Fujiwara, Tohru Ikeguchi (Saitama Univ.) NLP2013-170 |
The Izhikevich neuron model is a mathematical model that can reproduce various neural firing patterns, such as regular s... [more] | NLP2013-170 pp.31-36 |
| NLP | 2013-03-15 09:50 |
Chiba | Nishi-Chiba campus, Chiba Univ. | Analysis on real networks by classical multidimensional scaling Yong Gao, Kaori Kuroda (Saitama Univ.), Yutaka Shimada (Aihara Innovative Mathematical Modelling Project/JST), Kantaro Fujiwara, Tohru Ikeguchi (Saitama Univ.) NLP2012-162 |
In the real world, we have a wide variety of complex networks, such as Internet, neural networks, human relationships an... [more] | NLP2012-162 pp.91-96 |
| NLP | 2013-03-15 10:15 |
Chiba | Nishi-Chiba campus, Chiba Univ. | Prediction of growth of complex networks Suguru Yaginuma, Kaori Kuroda (Saitama Univ.), Yutaka Shimada (Aihara Innovative Mathematical Modelling Project), Kantaro Fujiwara, Tohru Ikeguchi (Saitama Univ.) NLP2012-163 |
In this report, we propose a method to predict growth of a complex network. In our method, first, we transformed a compl... [more] | NLP2012-163 pp.97-102 |
| NC, MBE (Joint) |
2012-12-12 10:20 |
Aichi | Toyohashi University of Technology | Numerical Analysis of Electrogastrograms in Elderly using Stochastic Resonance Model Yukimasa Kasamatsu, Fumiya Kinoshita, Yasuyuki Matsuura, Hiroki Takada (Univ. of Fukui) MBE2012-62 |
The electrical activity of the gastrointestine is measured using an electrogastrograph and presented as an electrogastro... [more] | MBE2012-62 pp.9-12 |
| NLP | 2011-03-11 16:10 |
Tokyo | Tokyo University of Science | Theoretical analysis on periodicity and randomness of time series generated from complex netowrks Yuta Haraguchi, Yutaka Shimada, Tohru Ikeguchi, Takaomi Shigehara (Saitama Univ.) NLP2010-195 |
A bridge between the complex network theory and the nonlinear dynamical system theory has been discussed to establish a ... [more] | NLP2010-195 pp.181-186 |
| AP | 2010-05-13 14:00 |
Overseas | Southeast Univ. | MIMO Performance of Modulated Scattering Antenna Array in Indoor Environment Lin Wang, Qiang Chen (Tohoku Univ.), Qiaowei Yuan (Sendai National College of Tech.), Kunio Sawaya (Tohoku Univ.) AP2010-18 |
In this report, the MIMO performance of modulated scattering antenna array (MSAA) is analyzed numerically based on an ap... [more] | AP2010-18 pp.33-36 |
| NLP | 2009-12-21 14:25 |
Iwate | High-dimensional Nonlinear Time Series Prediction with Reinforcement Learning Baku Takaiwa, Hideki Satoh (Future Univ. Hakodate) NLP2009-133 |
We extracted principal elements from several nonlinear time series and reduced the prediction error of the time series u... [more] | NLP2009-133 pp.37-42 |
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| NLP | 2009-11-13 10:45 |
Kagoshima | Partialization Analysis for Nonlinear Connections of Second Order Kaori Kuroda, Tohru Ikeguchi (Saitama Univ.) NLP2009-102 |
Real systems often produce very complicated behavior due to complex interactions between elements in the system. In orde... [more] | NLP2009-102 pp.115-120 |
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| NLP | 2008-03-27 15:00 |
Hyogo | Analysis method of chaotic time series using measures of networks. Yutaka Shimada, Tohru Ikeguchi (Saitama Univ.) NLP2007-161 |
Complex phenomena are ubiquitous in the real world, for example, fluctuation of financial indices in a stock market, po... [more] |
NLP2007-161 pp.43-48 |
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| NLP | 2007-12-20 13:00 |
Fukui | Nonlinear Quantization Analysis of Chaos produced by the (m+1) Order Mapping Functions and their Predictability I Jiguo Dong (uec), Takako Yamada (KG), Katsufusa Shono NLP2007-124 |
Internal state $x_t$ was calculated for $(m+1)$ order mapping function $x_{t+1}=\frac{(m+1)^{m+1}}{m^m}x_t(1-x_t)^m$, $0... [more] | NLP2007-124 pp.21-26 |
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| CAS, NLP | 2007-10-19 09:20 |
Tokyo | Musashi Institute of Technology | Nonlinear Quantization Analysis of Chaos produced by the Third Order Mapping Functions and their Predictability Jiguo Dong (uec), Takako Yamada (KG), Katsufusa Shono CAS2007-53 NLP2007-81 |
Analysis of chaos, produced by 128 bit fixed point calculation for the third order mapping functions controlled by a par... [more] | CAS2007-53 NLP2007-81 pp.7-12 |
| NLP | 2007-08-07 14:10 |
Shizuoka | Nonlinear quantization Analysis of Chaos Generated from Mapping Functions Jiguo Dong (uec), Takako Yamada (KG), Katsufusa Shono NLP2007-59 |
Chaos were generated by calculating repeatedly mapping functions with fixed point calculation keeping 128 bit calculatio... [more] | NLP2007-59 pp.33-37 |
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