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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS, IPSJ-AVM | 2022-06-10 11:40 |
Fukuoka | KIT(Wakamatsu Campus) (Primary: On-site, Secondary: Online) |
An embedded-oriented sound classification system using reservoir computing Yuichiro Tanaka, Issei Uchino (Kyutech), Kazunobu Ohkuri (Sony), Hakaru Tamukoh (Kyutech)  SIS2022-9 |
Although deep neural networks (DNNs) have achieved state-of-the-art results in sound classification tasks in recent year... [more] | SIS2022-9 pp.41-44 |
| SDM, ED, CPM | 2022-05-27 15:50 |
Online | Online | Study on semiconductor-based nonlinear dynamic node for physical reservoir computing system Seiya Kasai, Shunsuke Saito (Hokkaido Univ.) ED2022-12 CPM2022-6 SDM2022-19 |
Reservoir computing is a framework of the neural network-based machine learning for time series. In this system, design ... [more] | ED2022-12 CPM2022-6 SDM2022-19 pp.21-24 |
| MSS, NLP | 2022-03-28 11:10 |
Online | Online | Analyses on hierarchical networks of reservoir computing to model visual-information processing Takumi Shinkawa, Hideyuki Katou (Oita Univ) MSS2021-59 NLP2021-130 |
Recently, reservoir computing is expected to have various engineering applications such as real-time learning of time-se... [more] | MSS2021-59 NLP2021-130 pp.23-28 |
| CCS | 2022-03-27 09:00 |
Hokkaido | RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
Construction and Evaluation of Physical Reservoir Based on CNT/Molecular Networks Kento Igarashi, Tetsuya Asai, Megumi Akai (Hokkaido Univ.) CCS2021-36 |
Previous studies have suggested that a network consisting of carbon nanotubes ( CNT ) and polyacid molecules ( POM ) may... [more] | CCS2021-36 pp.1-6 |
| CCS | 2022-03-27 10:50 |
Hokkaido | RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
An Improvement of Prediction Performance of Reservoir Computing using Deep FORCE Learning Kazuki Nakada, Eiji Suzuki, Keita Suda, Yukio Terasaki (TDK), Tetsuya Asai (Hokkaido Univ.), Tomoyuki Sasaki (TDK) CCS2021-40 |
The physical implementation has become increasingly important in the recent machine learning trends. Reservoir Computing... [more] | CCS2021-40 pp.25-30 |
| MBE, NC (Joint) |
2022-03-02 09:55 |
Online | Online | NC2021-47 |
In this paper, we propose reconstructive reservoir computing (RRC), which can detect anomaly in time-series signals. In ... [more] | NC2021-47 pp.5-10 |
| MBE, NC (Joint) |
2022-03-02 15:20 |
Online | Online | NC2021-56 |
We propose a spin-wave antenna structure that penetrates a garnet film, which we named film-penetrating transducers (FPT... [more] | NC2021-56 pp.50-55 |
| CPM | 2022-03-01 15:25 |
Online | Online | Electrical characteristics of single electron transistors fabricated by two-step immersion in gold colloidal solution Kaito Kobayashi, Kenta Fujikura, Tetsuya Urae, Masataka Moriya, Hiroshi Shimada, Yoshinao Mizugaki (UEC) CPM2021-79 |
In this research, we aimed to realize a 6-terminal single-electron device using gold nanoparticles as island electrodes.... [more] | CPM2021-79 pp.28-30 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-22 10:30 |
Online | Online | On the relationship between properties of the hysteresis reservoir layer and the training output sequence Tsukasa Saito, Kenya Jin'no (Tokyo City Univ) NLP2021-99 MICT2021-74 MBE2021-60 |
Reservoir computing is a type of machine learning model that can be trained at low cost and fast. However, conventional ... [more] | NLP2021-99 MICT2021-74 MBE2021-60 pp.121-124 |
| RCS, SIP, IT | 2022-01-20 17:20 |
Online | Online | Hyper Parameter Optimization with Genetic Algorithm in Reservoir Computing Based MIMO-OFDM Detection Yuanyou Chen, Hiroshi Tsutsui, Takeo Ohgane (Hokkaido Univ.) IT2021-46 SIP2021-54 RCS2021-214 |
In this paper, we investigate a MIMO-OFDM symbol detection based on reservoir computing (RC), which is a special type of... [more] | IT2021-46 SIP2021-54 RCS2021-214 pp.96-100 |
| NLP | 2021-12-18 15:40 |
Oita | J:COM Horuto Hall OITA | Performance evaluation on timeseries prediction of multi-layer simple cycle reservoir computing Kentaro Imai, Masaharu Adachi (Tokyo Denki Univ.) NLP2021-67 |
The purpose of this study is to combine Deep Echo State Network with other models. In this study, we propose and impleme... [more] | NLP2021-67 pp.110-113 |
| QIT (2nd) |
2021-11-30 13:30 |
Online | Online | [Poster Presentation]
Quantum Reservoir Computing with a Multimode Interferometric Optical Circuit
-- Estimation of Characteristic Quantities of Quantum States of Light -- Natsuki Yokoyama, Masaya Shintoku, Kazuya Yuasa (Waseda Univ.) |
We discuss quantum reservoir computing with a multimode interferometric optical circuit. Multiparticle quantum interfere... [more] | |
| NLP | 2021-11-19 15:20 |
Hiroshima | Feature extraction from speech data using leaky echo state network Naoto Kikukawa, Koshiro Onuki, Takaya Miyano (Ritsumeikan Univ.) NLP2021-40 |
(To be available after the conference date) [more] | NLP2021-40 pp.23-26 |
|
| CCS | 2021-11-19 12:35 |
Osaka | Osaka Univ. (Primary: On-site, Secondary: Online) |
FPGA Architecture for Reservoir Computing with time-division input interfaces and online learning systems Kose Yoshida, Yuki Abe (Hokkaido Univ.), Megumi Akai-Kasaya (Hokkaido Univ./Osaka Univ.), Tetsuya Asai (Hokkaido Univ.) CCS2021-29 |
In this paper we present an FPGA architecture for reservoir computing using a ring-type reservoir with time-division I/O... [more] | CCS2021-29 pp.67-72 |
| 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 |
| SDM | 2021-11-11 13:00 |
Online | Online | [Invited Talk]
Prospects of HfZrO2-based FeFETs for Ultra-low Power Memory, Logic and AI Applications Shinichi Takagi, Kasidit Toprasertpong, Xuan Luo, Eishin Nako, Zeyu Wang, Tsung-En Lee, Kento Tahara, Mitsuru Takenaka, Ryosho Nakane (U. Tokyo) SDM2021-55 |
Since the discovery of ferroelectricity in HfO2-based dielectric films in 2011, FeFETs using HfO2-based thin films as ga... [more] | SDM2021-55 pp.13-18 |
| MBE, NC (Joint) |
2021-10-28 11:40 |
Online | Online | Reservoir computing properties of micropatterned neuronal networks in culture Takuma Sumi, Hideaki Yamamoto, Satoshi Moriya, Taiki Takemuro, Tomohiro Konno, Shigeo Sato, Ayumi Hirano-Iwata (Tohoku Univ) NC2021-19 |
In this experiment, we used the reservoir computing model to analyze the information processing properties of micropatte... [more] | NC2021-19 pp.7-10 |
| NLP, CCS | 2021-06-11 15:20 |
Online | Online | Improvement of Controllability of a Nonlinear MEMS Resonator Type Reservoir based on Mutual Information Criteria Kazuki Nakada, Shunya Suzuki, Eiji Suzuki, Yukio Terasaki, Tomoyuki Sasaki (TDK), Tetsuya Asai (Hokkaido Univ.) NLP2021-10 CCS2021-10 |
In this work, we propose a parameter tuning method based on mutual information criteria for MEMS (Micro Electro Mechanic... [more] | NLP2021-10 CCS2021-10 pp.45-50 |
| CCS | 2021-03-29 13:00 |
Online | Online | Construction of Nonlinear Large-Scale Network Simulator aiming for Emergence of Reservoir function Kento Igarashi, Tetsuya Asai, Megumi Akai (Hokkaido Univ.) CCS2020-21 |
A large-scale network simulator consisting of non-linear elements has been constructed for the physical implementation o... [more] | CCS2020-21 pp.1-6 |
| NC, MBE (Joint) |
2021-03-05 09:55 |
Online | Online | Aspect classification by using complex-valued reservoir computing Bungo Konishi, Akira Hirose, Ryo Natsuaki (UT) NC2020-65 |
Synthetic aperture radar (SAR) is widely used for ground surface classification because of their information on vegetati... [more] | NC2020-65 pp.127-132 |
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