| 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 # | |
| NLP | 2023-11-28 11:15 |
Okinawa | Nago city commerce and industry association | Dynamics of Reservoir in Echo State Network Shion Yoshida, Tohru Ikeguchi (TUS)  NLP2023-62 |
Reservoir computing is one of the frameworks for machine learning for fast and highly accurate analysis of time series a... [more] | NLP2023-62 pp.15-20 |
| WIT | 2023-06-16 16:15 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Proposing a Feature-Analysis Method of Finger-Movement Data for Predicting Cognitive Function of Elderly People Hayato Seiichi, Sinan Chen, Atsuko Hayashi, Masahide Nakamura (Kobe Univ.) WIT2023-6 |
In recent years, a growing body of research has suggested a relationship between cognitive function and manual dexterity... [more] | WIT2023-6 pp.30-35 |
| NLP, MSS | 2023-03-17 16:45 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Enhancement of functionality in Deep Echo State Network by optimizing leak rate Shuichi Inoue, Sou Nobukawa (CIT), Haruhiko Nishimura (UOH), Eiji Watanabe (NIBB), Teijiro Isokawa (UOH) MSS2022-110 NLP2022-155 |
Deep echo state network (Deep-ESN) model consists of multiple reservoir layers, which can respond on layer-specific diff... [more] | MSS2022-110 NLP2022-155 pp.231-236 |
| NC, MBE (Joint) |
2023-03-13 10:40 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Channel Polarization State Prediction Using Phasor Quaternion Neural Networks in Wireless Communications Anzhe Ye, Haotian Chen, Ryo Natsuaki, Akira Hirose (UTokyo) NC2022-91 |
Fading channel compensation requires higher accuracy channel prediction. In this paper, we propose a fading channel pred... [more] | NC2022-91 pp.1-6 |
| NC, NLP | 2023-01-29 15:55 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Indoor air quality prediction using multi-reservoir echo state network with attention mechanism Wenrui Qiu, Gouhei Tanaka (UTokyo) NLP2022-106 NC2022-90 |
Indoor air quality (IAQ) is a critical matter of concern in terms of its impact on public health and well-being. Researc... [more] | NLP2022-106 NC2022-90 pp.135-140 |
| SeMI, SeMI (Joint) |
2023-01-19 15:05 |
Tokushima | Naruto grand hotel (Primary: On-site, Secondary: Online) |
[Short Paper]
An experimental study on the transition of camera-based human localization to CSI sensing Kanare Kodera, Shoki Ohta, Takayuki Nishio (Tokyo Tech) SeMI2022-81 |
Wi-Fi sensing, represented by CSI (channel state information) sensing~cite{CSIsurvey}, has attracted much attention. Com... [more] | SeMI2022-81 pp.43-48 |
| 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 |
| CQ, CS (Joint) |
2022-05-12 11:40 |
Fukui | Fukui (Fuku Pref.) (Primary: On-site, Secondary: Online) |
Experimental Evaluation of the Effect of Feedback Period on Remote Control of a Driving Vehicle Using a Digital Twin Masaki Minagawa, Yudai Yoshimoto, Ryouhei Nakamura, Hisaya Hadama (NDA) CS2022-2 |
In remote control of a moving vehicle via the Internet, the use of digital twin (DT) can reduce the effects of transmiss... [more] | CS2022-2 pp.7-11 |
| SRW, SeMI, CNR (Joint) |
2021-11-26 15:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing Ryosuke Hanahara, Sohei Itahara, Kota Yamashita (Kyoto Univ.), Yusuke Koda (Univ. Oulu), Akihito Taya (Kyoto Univ./Aoyama Gakuin Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Koji Yamamoto (Kyoto Univ.) SRW2021-48 SeMI2021-47 CNR2021-22 |
This paper presents an estimation method of channel state information (CSI) matrices using corresponding beamforming fee... [more] | SRW2021-48 SeMI2021-47 CNR2021-22 pp.71-73(SRW), pp.58-60(SeMI), pp.48-50(CNR) |
| CCS | 2021-11-19 13:00 |
Osaka | Osaka Univ. (Primary: On-site, Secondary: Online) |
Physical reservoir computing on analog-digital hybrid circuit systems consisting of discrete semiconductor devices Yuki Abe, Kose Yoshida (Hokkaido Univ), Megumi Akai-Kasaya (Hokkaido Univ/Osaka Univ), Tetsuya Asai (Hokkaido Univ) CCS2021-30 |
This report describes machine learning process & benchmarks by using physical reservoir computing device. We design phys... [more] | CCS2021-30 pp.73-78 |
| SIS, ITE-BCT | 2021-10-07 11:40 |
Online | Online | Wireless Channel Prediction with Gaussian Process Yitu Wang (NTT), Takayuki Nakachi (former NTT), Takeru Inoue, Toru Mano, Kudo Riichi (NTT) SIS2021-12 |
With accurate knowledge of future Channel State Information (CSI), it becomes possible to better manipulate the wireless... [more] | SIS2021-12 pp.11-16 |
| KBSE | 2021-03-06 14:25 |
Online | Online | KBSE2020-46 |
In recent years, the use of open source software (OSS) in product software has been increasing in the industrial world, ... [more] | KBSE2020-46 pp.71-76 |
| NC, MBE (Joint) |
2021-03-05 09:30 |
Online | Online | Quaternion neural networks for channel prediction including polarization states Haotian Chen, Ryo Natsuaki, Akira Hirose (Tokyo Univ.) NC2020-64 |
Fading channel compensation requires channel prediction because channels change in time. In this paper, we ... [more] | NC2020-64 pp.121-126 |
| 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 |
| CCS, IN (Joint) |
2019-08-02 14:20 |
Hokkaido | KIKI SHIRETOKO NATURAL RESORT | Effect of shapes of activation functions on predictability in the echo state network Hanten Chang (Univ. of Tsukuba), Shinji Nakaoka (Hokkaido Univ.), Hiroyasu Ando (Univ. of Tsukuba) CCS2019-23 |
We investigate prediction accuracy for time series of Echo state networks with respect to several kinds of activation fu... [more] | CCS2019-23 pp.27-30 |
| PRMU, IPSJ-CVIM | 2019-05-30 11:20 |
Tokyo | Daily Fish Catch Forecasting For Fixed Shore Net Fishing Using State Space Model Describing Probabilistic Behavior of Fish Inside Net Yuya Kokaki, Naohiro Tawara, Tetsunori Kobayashi, Kazuo Hashimoto (Waseda Univ.), Masayoshi Hukushima, Akira Idoue (KDDI Research), Ogawa Tetsuji (Waseda Univ.) PRMU2019-3 |
A state space model that incorporates knowledge on fixed shore net fishing was developed and suc- cessfully applied to d... [more] | PRMU2019-3 pp.13-18 |
|
| MoNA, IN, CNR (Joint) [detail] |
2018-11-15 16:05 |
Saga | Karatsu Civic Exchange Plaza | [Invited Talk]
A remote control method through a communications network and its application to cooperative conveyance using multiple robots Hiroshi Yoshida, Shinya Yasuda, Taichi Kumagai (NEC Corp.), Yuichi Ohsita (Osaka Univ.), Kozo Satoda (NEC Corp.), Masayuki Murata (Osaka Univ.) IN2018-55 MoNA2018-32 CNR2018-29 |
By controlling robots remotely using external sensors and computers through a communications network, the function and p... [more] | IN2018-55 MoNA2018-32 CNR2018-29 pp.19-24(IN), pp.61-66(MoNA), pp.67-72(CNR) |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
Nonlinear Time Series Prediction using Multi-Step Learning Echo State Networks Takanori Akiyama, Gouhei Tanaka (Tokyo Univ.) IBISML2018-83 |
Reservoir Computing (RC) has recently attracted much attention as brain-like information processing for high-speed learn... [more] | IBISML2018-83 pp.293-299 |
| IN, NS, CS, NV (Joint) |
2018-09-07 10:45 |
Miyagi | Research Institute of Electrical Communication, Tohoku Univ. | Jitter-Robust State-Predictive Control Hiroshi Yoshida, Shinya Yasuda, Taichi Kumagai (NEC Corp.) IN2018-36 |
Stabilizing a remote control system through a communications network is difficult because such a network brings about ti... [more] | IN2018-36 pp.83-88 |
| CQ | 2018-08-23 16:30 |
Shiga | Ritsumeikan Univ. Biwako-Kusatsu Campus (BKC) | [Invited Talk]
A predictive control method for a remote control system through a network with delay fluctuation Hiroshi Yoshida, Shinya Yasuda, Taichi Kumagai (NEC Corp.) CQ2018-50 |
Under the concept of Internet of Things (IoT), various machines are beginning to be controlled remotely through the Inte... [more] | CQ2018-50 pp.23-27 |
[Return to Top Page]