| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IN, IA (Joint) |
2022-12-13 09:25 |
Hiroshima | Higashi-Senda campus, Hiroshima Univ. (Primary: On-site, Secondary: Online) |
Division of User Dynamics in Online Social Networks and Appearance of Spikes in User Activity Ryusei Yamamoto, Masaki Aida (Tokyo Metropolitan Univ.)  IN2022-47 |
With the development of social networking services (SNS), the convenience of information exchange through online social ... [more] | IN2022-47 pp.20-25 |
| NLP | 2022-11-25 11:10 |
Shiga | (Primary: On-site, Secondary: Online) |
[Invited Talk]
Chaotic time series and Ueda's theory of chaos Takaya Miyano (Ritsumeikan Univ.) NLP2022-72 |
In terms of Ueda’s theory of chaos, i.e., the concept of randomly transitional oscillations, we discuss the implications... [more] | NLP2022-72 pp.71-72 |
| NLP | 2022-11-25 14:15 |
Shiga | (Primary: On-site, Secondary: Online) |
Synchronization of Coupled Nonlinear Sampled-data Systems with Transmission Delays Takuya Misawa, Toshiki Oguchi (Tokyo Metropolitan Univ.) NLP2022-76 |
First, we consider two nonlinear sampled-data systems bidirectionally coupled via transmission delay couplings. Reducing... [more] | NLP2022-76 pp.87-90 |
| CCS | 2022-11-18 16:00 |
Mie | (Primary: On-site, Secondary: Online) |
Investigation for the coupling interactions in swarm intelligence algorithm based on spiking neural-oscillator networks Tomoyuki Sasaki (SIT), Hidehiro Nakano (TCU) CCS2022-60 |
Optimizer based on Spiking Neural-oscillator Networks (OSNNs) are deterministic swarm intelligence algorithms which intr... [more] | CCS2022-60 pp.85-90 |
| CAS, NLP | 2022-10-20 15:45 |
Niigata | (Primary: On-site, Secondary: Online) |
Study on Unsafety Evaluation of Voltage Dynamics for Distribution Networks Based on Reachable Set Shunsuke Fujii, Yoshihiko Susuki, Takashi Hikihara (Kyoto Univ.) CAS2022-25 NLP2022-45 |
In recent years, many distributed power sources such as photovoltaic power generation have been connected to distributio... [more] | CAS2022-25 NLP2022-45 pp.29-34 |
| SIS, ITE-BCT | 2022-10-13 16:00 |
Aomori | Hachinohe Institute of Technology (Primary: On-site, Secondary: Online) |
[Invited Talk]
Quasiconformal Mapping and its Application
-- Numerical Method and Application to Machine Learning -- Hirokazu Shimauchi (Hachinohe Inst. of Tech.) SIS2022-14 |
Quasiconformal mapping is a natural generalization of conformal mapping and plays an important role in the areas of math... [more] | SIS2022-14 pp.17-20 |
| NS | 2022-10-05 16:40 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Modeling of malware diffusion with mobile devices in intermittently connected networks Hideyoshi Miura, Syoya Abukawa (Kansai Univ.), Tomotaka Kimura (Doshisha Univ.), Kouji Hirata (Kansai Univ.) NS2022-86 |
In this paper, we introduce an epidemic model of malware with mobile devices in intermittently connected networks. In re... [more] | NS2022-86 pp.24-28 |
| NC, MBE (Joint) |
2022-09-29 10:25 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Analog circuit implementation of spiking neural networks and its application to time-series information processing Satoshi Moriya, Hideaki Yamamoto (Tohoku Univ), Yasushi Yuminaka (Gunma Univ.), Shigeo Sato, Yoshihiko Horio (Tohoku Univ) NC2022-33 |
Edge computing in which low-dimensional signals such as sensor output are processed nearby sensors have become increasin... [more] | NC2022-33 p.5 |
| IN, CCS (Joint) |
2022-08-05 13:30 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Analysis on nonlinear dynamics of temporal networks using spectral distance Taiga Ito, Kazuya Sawada, Honami Tsushima, Tohru Ikeguchi (TUS) CCS2022-39 |
In this report, we used spectral distance and classical multidimensional scaling (CMDS) to extract the state change of t... [more] | CCS2022-39 pp.66-71 |
| IN, CCS (Joint) |
2022-08-05 14:10 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Preliminary Study on Mitigation for Overheating of Online User Dynamics by Adjusting Logical Network Structure Ryo Miyamoto (Tokyo Metropolitan Univ.), Chisa Takano (Hiroshima City Univ.), Masaki Aida (Tokyo Metropolitan Univ.) CCS2022-41 |
In today's online social networks, explosive user dynamics such as online flaming on SNS have become a problem. Its imp... [more] |
CCS2022-41 pp.74-79 |
| 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 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-29 13:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Optimization of recurrent neural network structure by controlling symmetry of weight matrix Arisa Fujimoto, Hideaki Yamamoto, Satoshi Moriya (Tohoku Univ.), Keita Tokuda (Tsukuba Univ.), Yuichi Katori (Future Univ. Hakodate), Shigeo Sato (Tohoku Univ.) NC2022-26 IBISML2022-26 |
In this study, we investigated the relationship between the strength of symmetry in a Gaussian random matrix of a recurr... [more] | NC2022-26 IBISML2022-26 pp.184-188 |
| CCS, NLP | 2022-06-09 16:25 |
Osaka | (Primary: On-site, Secondary: Online) |
User-guided Image Colorization by Cellular Neural Network Shungo Saizuka, Yuto Ozeki, Tasuku Kuroda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2022-8 CCS2022-8 |
Many historically attractive and valuable images are taken as gray-scale images. On the other hand, since color informa... [more] |
NLP2022-8 CCS2022-8 pp.36-39 |
| CCS, NLP | 2022-06-10 14:00 |
Osaka | (Primary: On-site, Secondary: Online) |
A study on synergistic effects of online user dynamics by multiple users Mio Harada, Masaki Aida (Tokyo Metropolitan Univ.) NLP2022-18 CCS2022-18 |
The oscillation model for online social networks describes the propagation of influences among users at finite speeds. ... [more] |
NLP2022-18 CCS2022-18 pp.88-93 |
| IN, RCS, NV (Joint) |
2022-05-26 11:50 |
Kanagawa | Keio University (Hiyoshi Campus) (Primary: On-site, Secondary: Online) |
Application of Darwinian Neurodynamics Model for Dynamic TDD Resource Allocation Lu Chen, Masayuki Murata (Osaka Univ.) IN2022-3 |
Following the launch of 5G mobile network services, private 5G networks are getting started to be available, and have a ... [more] | IN2022-3 pp.13-18 |
| IBISML | 2022-03-09 11:35 |
Online | Online | [Invited Talk]
--- Masanobu Horie (RICOS Co. Ltd.) IBISML2021-43 |
Learning flow phenomena is an important problem for both theoretical and practical aspects. Graph neural networks are a ... [more] | IBISML2021-43 p.37 |
| SR | 2022-01-24 16:20 |
Online | Online | Channel Selection of Environment-Adaptive Sensor Networks Using Channel Occupancy Rate Taiki Matsushima, Takeo Fujii (UEC) SR2021-65 |
In Wireless Sensor Networks (WSNs), it is possible to transmit packets efficiently by implementing an autonomous distrib... [more] | SR2021-65 pp.31-36 |
| 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 |
[Return to Top Page]