Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NLP |
2021-12-17 10:00 |
Oita |
J:COM Horuto Hall OITA |
Basic performances of a swarm intelligence algorithm based on spiking oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) NLP2021-43 |
Spiking oscillator networks are simply coupling systems of plural spiking oscillators, which generate various synchroniz... [more] |
NLP2021-43 pp.1-6 |
MBE, NC (Joint) |
2021-10-28 15:55 |
Online |
Online |
A Study on Improvement Learning Performance with Chaos Neurons Renshi Nagasawa, Masahiro Nakagawa (NUT) NC2021-23 |
In the backpropagation method in neural networks, the problem is that the energy converges to the local minimum. On the... [more] |
NC2021-23 pp.28-33 |
MBE, NC (Joint) |
2021-10-29 11:40 |
Online |
Online |
A numerical study on the relationship between complexity and accuracy of neural networks based on ordinary differential equations Kaoru Esashika, Jun Ohkubo (Saitama Univ.) NC2021-26 |
In recent years, many reports have been published on deep neural networks. The residual networks have contributed to rem... [more] |
NC2021-26 pp.46-50 |
IN, CCS (Joint) |
2021-08-05 14:00 |
Online |
Online |
A Spectral-based Model of Polarization in Online Social Networks Tomoya Kinoshita, Masaki Aida (Tokyo Metropolitan Univ.) CCS2021-15 |
The phenomenon known as ``polarization,'' in which a social group splits into two or more groups, can hurt social activi... [more] |
CCS2021-15 pp.1-6 |
CS |
2021-07-15 17:05 |
Online |
Online |
A basic study on collective effects of online user dynamics under the influence of mass media Mio Harada, Masaki Aida (Tokyo Metropolitan Univ.) CS2021-24 |
With the spread of social networking services (SNS), information from the mass media immediately influences users on onl... [more] |
CS2021-24 pp.40-45 |
RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-16 09:00 |
Online |
Online |
Throughput Analysis based on Energy Queueing Model for Wireless Powered Communication Networks with Constant Supplying Intervals Atsuhiro Iwaki, Kosuke Sanada, Hiroyuki Hatano, Kazuo Mori (Mie Univ.) NS2021-51 |
In the Wireless Powered Communication Networks (WPCNs), An Access Point (AP) supplies power to multiple stations (STAs) ... [more] |
NS2021-51 pp.94-99 |
CCS |
2021-03-29 13:25 |
Online |
Online |
Neuromorphic Devices using Spatial Free Wiring of Conductive Polymer for Hardware Artificial Neural Networks Emiliano Ali, Yoshiki Amemiya, Tetsuya Asai (Hokkaido Univ.), Megumi Akai-Kasaya (Osaka Univ.) CCS2020-22 |
Nanowires made of conductive polymer have a promising potential to be used in a wide range of applications in the electr... [more] |
CCS2020-22 pp.7-12 |
NC, MBE (Joint) |
2021-03-05 13:00 |
Online |
Online |
The Relation between Sensitivity and Maximum Lyapunov Exponent when Sensitivity Adjustment Learning is Applied to Layered Recurrent Neural Networks Takuya Ejima, Yuuki Tokumaru, Kastunari Shibata (Oita Univ.) NC2020-69 |
We have proposed a local learning method named "sensitivity adjustment learning (SAL)". The sensitivity, which is adjust... [more] |
NC2020-69 pp.151-156 |
CAS, ICTSSL |
2021-01-28 09:55 |
Online |
Online |
On differential equations and numerical approximations of a nonlinear field effect transistor for LSTM neural networks Zhihui He, Cheng Wang, Moyong Hong, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-39 ICTSSL2020-24 |
In this report,we discuss how to build differential equations and numerical approximations of a nonlinear field effect t... [more] |
CAS2020-39 ICTSSL2020-24 pp.7-10 |
CAS, ICTSSL |
2021-01-29 10:10 |
Online |
Online |
Consideration of Switching by Chaotic Neurodynamics for Asymmetric TSPs by using Hidden Markov Model Tomoya Matsuno, Toshihiro Tachibana (Shonan Inst. of Tech.), Masaharu Adachi (Tokyo Denki Univ.) CAS2020-59 ICTSSL2020-44 |
Several methods for solving the asymmetric traveling salesman problem using chaotic neural networks is proposed by Tachi... [more] |
CAS2020-59 ICTSSL2020-44 pp.107-110 |
CAS, ICTSSL |
2021-01-29 10:30 |
Online |
Online |
A Method for Solving Traveling Salesman Problems Using Switching of Crossover by Chaotic Neurodynamics Masayuki Kashiwagi, Tomoki Ishizawa, Toshihiro Tashibana (Shonan Inst. of Tech.) CAS2020-60 ICTSSL2020-45 |
In this paper, we solve traveling salesman problems using genetic algorithm. The genetic algorithm is a heuristic method... [more] |
CAS2020-60 ICTSSL2020-45 pp.111-114 |
NC, NLP (Joint) |
2021-01-22 14:20 |
Online |
Online |
Contrast dependent spatial frequency tuning dynamics and its underlying neural mechanisms in the cat area 17 Kazuki Kohara, Seisiro Nitta, Hiroki Tanaka (Kyoto Sangyo Univ.) NC2020-40 |
In order to examine neural mechanisms to form spatial frequency (SF) tunings of area 17 neurons, we recorded extracellul... [more] |
NC2020-40 pp.45-48 |
IMQ |
2020-12-18 10:05 |
Online |
Online |
Investigation of Relationship between cerebral blood flow and human preference during image viewing using deep learning Yohei Ochiai, Shuhei Kishida, Koki Buyo, Yuya Okazaki, Yuuko Horita (Univ. of Toyama) IMQ2020-9 |
In recent years, the evaluation of Quality of Experience (QoE), which shows user experience quality, has attracted atten... [more] |
IMQ2020-9 pp.9-12 |
MSS, CAS, IPSJ-AL [detail] |
2020-11-25 17:25 |
Online |
Online |
Data-Driven Optimal Reconstruction of Boolean Networks with Noisy Dynamics Koichi Kobayashi (Hokkaido Univ.), Yuhu Wu (Dalian Univ. of Tech.) CAS2020-25 MSS2020-17 |
A Boolean network is a mathematical model that the dynamics are represented by Boolean functions. In this paper, a metho... [more] |
CAS2020-25 MSS2020-17 pp.34-39 |
MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 10:15 |
Online |
Online |
Quantitative Evaluation of the Effects of Quarantine of Infected Person Using Mathematical Models of Infectious Diseases Ayumi Manabe, Kazuya Sawada, Nanfu Miya, Tohru Ikeguchi (TUS) CAS2020-14 NLP2020-35 |
In 2020, COVID-19 has become a global pandemic and is still spreading.
One of the reason why COVID-19 spreads widely is... [more] |
CAS2020-14 NLP2020-35 pp.15-20 |
IBISML |
2020-10-21 11:05 |
Online |
Online |
IBISML2020-20 |
As complexity of robots and environments increases, analytically formulating their kinematics and dynamics becomes diffi... [more] |
IBISML2020-20 pp.37-38 |
IA |
2020-10-01 16:25 |
Online |
Online |
[Poster Presentation]
A Study on Topology Estimation from Observed Network Flows Keita Kitaura, Ryotaro Matsuo (Kwansei Gakuin Univ.), Ryo Nakamura (Fukuoka Univ.), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2020-11 |
Acquisition and estimation of topologies of large-scale evolving networks
such as communication networks and social net... [more] |
IA2020-11 p.31 |
IA |
2020-10-01 16:25 |
Online |
Online |
[Poster Presentation]
A Study on Flow-Level Network Simulator for Large-Scale Information-Centric Networks Soma Yamamoto (Kwansei Gakuin Univ.), Ryo Nakamura (Fukuoka Univ.), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2020-13 |
In recent years, network architecture called ICN (Information-Centric Networking), which mainly focuses on contents tran... [more] |
IA2020-13 p.33 |
SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-08 14:50 |
Online |
Online |
[Invited Talk]
Dissipativity-Based Stability Analysis of Networked Nonlinear Descriptor Systems and Its Application to Power Grids Chiaki Kojima (Toyama Prefectural Univ.) RCC2020-2 NS2020-31 RCS2020-66 SR2020-9 SeMI2020-3 |
This paper pursues to construct a theoretical framework which can efficiently capture the dynamics of large-scale hetero... [more] |
RCC2020-2 NS2020-31 RCS2020-66 SR2020-9 SeMI2020-3 pp.1-6(RCC), pp.1-6(NS), pp.49-54(RCS), pp.1-6(SR), pp.1-6(SeMI) |
CCS |
2020-03-26 11:25 |
Tokyo |
Hosei Univ. Ichigaya Campus (Cancelled but technical report was issued) |
Reservoir computing using fluid motion Keita Kohashi, Masanobu Inubushi, Susumu Goto (Osaka Univ.) CCS2019-40 |
Reservoir computing (RC) is a machine learning method using nonlinear dynamical systems, which is effective for time-ser... [more] |
CCS2019-40 pp.25-27 |