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Technical Committee on Nonlinear Problems (NLP) (Searched in: 2016)
Search Results: Keywords 'from:2016-05-26 to:2016-05-26'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP | 2016-05-26 13:00 |
Kochi | Kochi Univ. | Amplitude death in a pair of one-dimensional Turing instability media coupled by diffusive connections Keiji Konishi, Naoyuki Hara (Osaka Pref. Univ.)  NLP2016-1 |
(To be available after the conference date) [more] | NLP2016-1 pp.1-6 |
| NLP | 2016-05-26 13:25 |
Kochi | Kochi Univ. | Model identification of propagating wave segments in an excitable medium and its stabilization with two-degree-of-freedom control Hisatoshi Katsumata, Keiji Konishi, Naoyuki Hara (Osaka Pref. Univ.) NLP2016-2 |
A propagating wave segment in an excitable medium has attracted attention as one of interesting spatio-temporal phenomen... [more] | NLP2016-2 pp.7-12 |
| NLP | 2016-05-26 13:50 |
Kochi | Kochi Univ. | Schemes for controlling unbalanced energy stored in a pair of EV car-sharing stations and their performance comparison Yuusuke Izumi (Osaka Pref. Univ.), Akira Itou (DENSO CORPORATION), Koki Yoshida, Yoshiki Sugitani, Keiji Konishi, Naoyuki Hara (Osaka Pref. Univ.) NLP2016-3 |
In recent years, considerable attention has been paid to a car-sharing system, in which a user hires a small electronic ... [more] | NLP2016-3 pp.13-18 |
| NLP | 2016-05-26 14:25 |
Kochi | Kochi Univ. | Investigation of synchronization under temporal evolution of coupling strength Naoto Kanazawa, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2016-4 |
[more] | NLP2016-4 pp.19-23 |
| NLP | 2016-05-26 14:50 |
Kochi | Kochi Univ. | Decreasing Gradient of Sigmoid Functions in Back Propagation of Feed-Forward Neural Netowork Shinaburo Kittaka, Yoko Uwate, Nishio Yoshihumi (Tokushima Univ.) NLP2016-5 |
Our study is about the learning method of feed-forward neural network. Generally, the method of improvingitslearningisfo... [more] | NLP2016-5 pp.25-28 |
| NLP | 2016-05-26 15:15 |
Kochi | Kochi Univ. | Firefly Algorithm Changing Parameters of Females Masaki Takeuchi (Tokushima Univ.), Haruna Matsushita (Kagawa Univ.), Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2016-6 |
We have proposed Firefly Algorithm Distinguishing between Males and Females. It is important to have a diversity in vari... [more] | NLP2016-6 pp.29-32 |
| NLP | 2016-05-26 15:50 |
Kochi | Kochi Univ. | Synchronization Coupled by Oscillators Containing Ring and Star Structures Kazuki Ueta, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2016-7 |
Analysis of synchronization phenomena is expected for applying in various feilds. In this study, we propose a new syste... [more] |
NLP2016-7 pp.33-36 |
| NLP | 2016-05-26 16:15 |
Kochi | Kochi Univ. | Synchronization Phenomena in Coupled van der Pol Oscillators Fitzhugh by Adding Different Frequenies Oscillator Minh Hai Tran, Kosuke Oi, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2016-8 |
The synchronization phenomena are observed at everywhere of the natural world such as firefly luminescences, cry of frog... [more] | NLP2016-8 pp.37-40 |
| NLP | 2016-05-26 16:40 |
Kochi | Kochi Univ. | Chaos Propagation and Synchronization in Coupled Chaotic Circuits as Single Ring and Double Ring Combination Takahiro Chikazawa, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ) NLP2016-9 |
[more] | NLP2016-9 pp.41-44 |
| NLP | 2016-05-27 09:00 |
Kochi | Kochi Univ. | Synchronization mechanism of optical-coupled oscillators Kyosuke Miyamoto, Tetsushi Ueta (Tokushima Univ.), Hiroshi Kawakami (Professor Emeritus, Tokushima Univ.) NLP2016-10 |
Self-organized and mutual emphasized periodic behavior of creatures is often observed in nature. This is called a synchr... [more] | NLP2016-10 pp.45-50 |
| NLP | 2016-05-27 09:25 |
Kochi | Kochi Univ. | Synchronized firing phenomena and bifurcation in coupled Izhikevich neuron model Yuu Miino, Tetsushi Ueta (Tokushima Univ.) NLP2016-11 |
In a coupled Izhikevich neuron model, there are some parameter regions where each neuron arises firing at the same time;... [more] | NLP2016-11 pp.51-56 |
| NLP | 2016-05-27 09:50 |
Kochi | Kochi Univ. | A packet routing method by chaotic neurodynamics using degree information Yuuki Morita, Sho Nishi, Tokuma Sato, Takayuki Kimura, Kenya Jin'no (NIT) NLP2016-12 |
Recently, the internet users continue to increase by the rapid spread of convenient mobile devices. In addition, the num... [more] | NLP2016-12 pp.57-62 |
| NLP | 2016-05-27 10:15 |
Kochi | Kochi Univ. | Implementation of parallel particle swarm optimizers on PC cluster Hidehiro Nakano, Ryosuke Matsumoto, Tomoyuki Sasaki, Arata Miyauchi (Tokyo City Univ.) NLP2016-13 |
This paper proposes an implementation method of the particle swarm optimizer (PSO) to PC cluster. In PSO, many particles... [more] | NLP2016-13 pp.63-66 |
| NLP | 2016-05-27 10:55 |
Kochi | Kochi Univ. | Extending the Nelson's Stochastic Quantization for Multi-particle Quantum Systems Takashi Murakami, Hisato Fujisaka, Takeshi Kamio (Hiroshima City Univ.) NLP2016-14 |
This paper describes a theory on the transformation between multi-particle quantum systems and classical probabilistic s... [more] | NLP2016-14 pp.67-71 |
| NLP | 2016-05-27 11:20 |
Kochi | Kochi Univ. | Efficient Curve Tracing of Switching Characteristics of Class-E Amplifiers Tomoya Nishimura, Yuichi Tanji (Kagawa Univ.) NLP2016-15 |
[more] | NLP2016-15 pp.73-76 |
| NLP | 2016-05-27 11:45 |
Kochi | Kochi Univ. | Controlling ON/OFF-Time in Current-Controlled DC/DC Converter Hiroyuki Fukue (Okayama Univ. of Science), Takuji Kousaka (Oita Univ.), Tetsushi Ueta (Tokushima Univ.), Daisuke Ito (The Univ. of Shiga Prefecture), Hirokazu Ohtagaki, Koh Utsunomiya, Hiroyuki Asahara (Okayama Univ. of Science) NLP2016-16 |
[more] | NLP2016-16 pp.77-81 |
| NLP | 2016-05-27 12:10 |
Kochi | Kochi Univ. | Controlling chaos and its stability analysis for Lorenz model with external force control Daisuke Ito (Univ. of Shiga Prefecture), Tetsushi Ueta (Tokushima Univ.) NLP2016-17 |
An external force controller, which is one of controlling chaos methods, gives the difference between objective trajecto... [more] | NLP2016-17 pp.83-86 |
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