Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP |
2022-08-02 09:00 |
Online |
Online |
Low Noise Environment Generates Non Linear Evolution
-- The Evolution of Complexity in Living Organism and Phoneme Sharing of Humans -- Kumon Tokumaru (Researcher) NLP2022-26 |
The evolution of life occurs suddenly after mass extinction. Lives who survived mass extinction period with mutation, ev... [more] |
NLP2022-26 pp.1-6 |
NLP |
2022-08-02 09:25 |
Online |
Online |
Performance Evaluation of Time Series Forecasting with Chaotic Neural Network Reservoir using ReLU Derived Functions Tatsuya Saito, Misa Fujita (Chukyo Univ.) NLP2022-27 |
Reservoir computing has been attracting attention in recent years.
It can learn time-series data at high speed.
Th... [more] |
NLP2022-27 pp.7-10 |
NLP |
2022-08-02 09:50 |
Online |
Online |
Characteristics of degree period of commutative polynomials defined by fourth-order recurrence relations with two variables over Z2K Takuma Nishizaka, Daisaburo Yoshioka (Sojo Univ.) NLP2022-28 |
In recent years, a public-key cryptosystem based on Chebyshev polynomials over Z_{2^k} has been presented. Unfortunately... [more] |
NLP2022-28 pp.11-14 |
NLP |
2022-08-02 10:15 |
Online |
Online |
A new method for the system of nonlinear equations
-- Newton-Raphson method and W4 method -- Hirotada Okawa (WIAS) NLP2022-29 |
There is no successful single method that can solve any system of nonlinear equations so far. Although the Newton-Raphs... [more] |
NLP2022-29 pp.15-19 |
NLP |
2022-08-02 10:40 |
Online |
Online |
* Keita Kiyosu (Chukyo Univ.), Hiroyuk Asahara (Okayama Univ. of Sci.), Naohiko Inaba (Shonan Inst. of Tech.), Yuu Miino (Naruto Univ. Educ), Takuji Kousaka (Chukyo Univ.) NLP2022-30 |
(To be available after the conference date) [more] |
NLP2022-30 pp.20-23 |
NLP |
2022-08-02 11:15 |
Online |
Online |
[Invited Talk]
Dimensionality reduction of dynamical systems via Koopman operator theory and applications to nonlinear rhythms Hiroya Nakao (Tokyo Tech.) NLP2022-31 |
A method of dimensionality reduction for nonlinear dynamical systems via the Koopman operator theory and its application... [more] |
NLP2022-31 pp.24-26 |
NLP |
2022-08-02 13:00 |
Online |
Online |
[Invited Talk]
Recent trends in thermodynamic uncertainty relation Yoshihiko Hasegawa (Univ. Tokyo) NLP2022-32 |
(To be available after the conference date) [more] |
NLP2022-32 p.27 |
NLP |
2022-08-02 13:45 |
Online |
Online |
[Invited Talk]
A theory for reciprocity in synchronization Hisa-Aki Tanaka (UEC) NLP2022-33 |
We present a theory and its application that opens the door to step forward for unknown design principles behind biologi... [more] |
NLP2022-33 p.28 |
NLP |
2022-08-02 14:40 |
Online |
Online |
Nonlinear sound processing of ergodic cellular automaton cochlear model Kubota Itsuki (Hosei Univ.), Kentaro Takeda (Kagawa Univ.), Hiroyuki Torikai (Hosei Univ.) NLP2022-34 |
In this paper, a novel cochlea model based on the nonlinear dynamics of an ergodic cellular automaton is presented. It i... [more] |
NLP2022-34 pp.29-34 |
NLP |
2022-08-02 15:05 |
Online |
Online |
A fundamental virtual clinical trial of neural prosthetic device based on ergodic cellular automaton neuron model Haruto Suzuki, Torikai Hiroyuki (Hosei Univ.) NLP2022-35 |
In this paper, an ergodic cellular automaton neuron model and its differentiation method are proposed.
It is shown that... [more] |
NLP2022-35 pp.35-38 |
NLP |
2022-08-02 15:30 |
Online |
Online |
The energy-accuracy trade-off in thresholding Nobumasa Ishida, Yoshihiko Hasegawa (Univ. Tokyo) NLP2022-36 |
In the last decade, stochastic thermodynamics revealed that the accuracy of various information processing, from biologi... [more] |
NLP2022-36 pp.39-42 |
NLP |
2022-08-02 15:55 |
Online |
Online |
Quantum Phase Reduction for Continuous Measurement Wataru Setoyama, Yoshihiko Hasegawa (Univ. Tokyo) NLP2022-37 |
With the recent development of quantum technology, quantum synchronization and quantum limit cycle attract interest. In ... [more] |
NLP2022-37 p.43 |
NLP |
2022-08-02 16:20 |
Online |
Online |
Esimation of Propagation Delay and Doppler Frequency based on Time-Domain and Frequency-Domain Spread Spectrum Signal. Yutaka Jitsumatsu (Tokyo Tech.) NLP2022-38 |
In Direct Sequence Spread Spectrum (DSSS) communications, a symbol interval is divided into chip intervals, and a pseudo... [more] |
NLP2022-38 pp.44-49 |