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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS, IN (Joint) |
2024-02-29 11:10 |
Okinawa | Okinawa Convention Center | An unsupervised online learning-based traffic classification and anomaly detection method for 5G-IIoT systems Yuxuan Shi, Qianqian Pan, Akihiro Nakao (U Tokyo)  NS2023-188 |
In the context of Society 5.0, the evolution of the Internet of Things (IoT) and its ever growing demands of massive Mac... [more] | NS2023-188 pp.96-102 |
| OCS, CS (Joint) |
2024-01-12 10:50 |
Kagoshima | Approximate Optimization of Optical Eigenvalue Assignment and its transmission experiment Daisuke Hisano, Ken Mishina, Ryotaro Harada, Akihiro Maruta (Osaka Univ.) CS2023-98 |
(Advance abstract in Japanese is available) [more] | CS2023-98 pp.20-23 |
|
| QIT (2nd) |
2023-12-17 17:30 |
Okinawa | OIST (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Sparse identification of quantum dynamics via quantum circuit learning Yusei Tateyama, Yuzuru Kato (FUN) |
Sparse Identification of Nonlinear Dynamics (SINDy) is a data-driven method for estimation and prediction of nonlinear d... [more] | |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
In rehabilitation conducted by physical therapists, one of the primary methods for assessing body movements is joint ra... [more] | ||
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Deep Item Response Theory using Facial Features Yan Zhou, Kenji Suzuki (Univ. Tsukuba), Shiro Kumano (NTT/Univ. Tsukuba) |
This study proposes a method to integrate students' facial features during item responses into a deep item response theo... [more] | |
| 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 |
| NS | 2023-10-04 15:20 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Bayesian optimization with online clustering Yuto Sando (Osaka Univ.), Tatsuaki Kimura (Doshisha Univ.), Takuto Kimura (NTT QONOQ), Tetsuya Takine (Osaka Univ.) NS2023-76 |
Bayesian optimization is a method that sequentially explores optimal values for an unknown continuous reward function an... [more] | NS2023-76 p.30 |
| ET | 2023-09-08 10:05 |
Osaka | Osaka Metropolitan University / Online (Primary: On-site, Secondary: Online) |
Blended Approach in Online Hands Hands-on AI Education for Corporate Engineers Nobuhiro Ohe (Cyber-U), Sadahiko Yamazaki (OECU), Katsuhiko Seo (Cyber-U), Kenji Ohtaka (M2M/IoT SG), Masahiro Inoue (Keio Univ), Hisao Koizumi (M2M/IoT SG) ET2023-14 |
Blended learning, which combines the advantages of online learning with those of face-to-face learning, is attracting at... [more] | ET2023-14 pp.9-12 |
| SWIM, SC | 2023-08-25 13:10 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Practice and evaluation of AI training methods for corporate engineers in multiple fields. Nobuhiro Ohe (Cyber Univ.), Sadahiko Yamazaki (OECU), Katsuhiko Seo (Cyber Univ.), Kenji Ohtaka (M2M/IoT), Jun Sawamoto (Iwate-PU), Hisao Koizumi (TDU) SWIM2023-12 SC2023-11 |
We report on a practical evaluation of an online AI pedagogy designed to adapt to learners from different companies in d... [more] | SWIM2023-12 SC2023-11 pp.1-6 |
| SIP | 2023-08-08 14:40 |
Osaka | Osaka Univ. (Suita) Convention Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
Recent Development on Acoustic Echo Canceller Kenta Iwai (Ritsumeikan Univ.) SIP2023-61 |
In hands-free tele-communication systems, acoustic echo occurs and disturbs the speech communication. To reduce the acou... [more] | SIP2023-61 pp.71-76 |
| DE | 2023-06-16 09:10 |
Tokyo | Musashino University (Primary: On-site, Secondary: Online) |
A POI recommendation method with explanatory nature for user's purpose based on online review information Hajjime Katayama, Taketoshi Ushiama (Kyushu Univ.) DE2023-2 |
In this study, we propose a method in which the purpose of searching for a POI is entered as a query, and a POI suitable... [more] | DE2023-2 pp.7-12 |
| CCS | 2023-03-26 11:35 |
Hokkaido | RUSUTSU RESORT | A Study on Hardware Architectures of Ensemble Kalman Filters towards High-Speed and Memory-Efficient Online Learning for Reservoir Computing Kota Tamada, Yuki Abe, Kose Yoshida, Tetsuya Asai (Hokkaido Univ) CCS2022-70 |
The objective of this study was to develop a hardware architecture for an ensemble Kalman filter in reservoir computing.... [more] | CCS2022-70 pp.42-47 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 13:00 |
Hokkaido | Hokkaido Univ. | Assessment System of Remote Structured Interview using Bimodal Neural Network Shengzhou Yi (UTokyo), Toshiaki Yamasaki (Talent and Assessment), Toshihiko Yamasaki (UTokyo) ITS2022-67 IE2022-84 |
A structured interview is a data collection method that relies on asking questions in a set of order to eliminate subjec... [more] | ITS2022-67 IE2022-84 pp.141-146 |
| ET | 2023-01-20 14:35 |
Hyogo | Hyogo College of Medicine and Online (Primary: On-site, Secondary: Online) |
Support of Online Classes by Estimating Learner’s Subjective Learning Difficulty Based on Eye Movement Yosuke Asano, Eiji Kamioka, Manami Kanamaru (SIT) ET2022-59 |
In online classes where the instructor and learners are not in the same space, it is difficult for the instructor to obs... [more] | ET2022-59 pp.17-22 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Development of a collaborative reading annotation system for lecture materials Yusuke Kawamura, Saburo Higuchi (Ryukoku Univ.) |
With the spread of online classes, it has become difficult for students to feel connected to each other while learning, ... [more] | |
| IN, IA (Joint) |
2022-12-13 11:05 |
Hiroshima | Higashi-Senda campus, Hiroshima Univ. (Primary: On-site, Secondary: Online) |
A Study On the Impact of Network Topology on the Efficiency of Distributed Online Kernel Learning Koki Takamori, Taichi Emi, Han Nay Aung, Keita Goto, Hiroyuki Ohsaki (Kwansei Univ.) IA2022-58 |
Distributed learning, which estimates the parameters of a nonlinear model from nonlinear data observed at each distribut... [more] | IA2022-58 pp.56-59 |
| NS | 2022-10-05 14:30 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Development of MR Application for Learning to Operate Measuring Instruments
-- Implementation of Learning Tutorials -- Taiyo Yoshida, Naoto Hoshikawa (Oyama Col.), Atsushi Shiraki, Tomoyoshi Ito, Tomoyoshi Shimobaba (Chiba Univ.) NS2022-82 |
Online classes are rapidly becoming popular in recent educational institutions as a countermeasure against infection cau... [more] | NS2022-82 p.7 |
| PN | 2022-08-29 10:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Compensation Performance of DNN-based Nonlinear Equalizer for Optical Communication Systems Jinya Nakamura, Kai Ikuta, Daisuke Motai, Moriya Nakamura (Meiji Univ.) PN2022-10 |
We investigated and compared the performances of three-layer-ANN- and four-layer-DNN-based nonlinear equalizers used for... [more] | PN2022-10 pp.10-14 |
| 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 |
| CCS | 2022-03-27 10:25 |
Hokkaido | RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
A novel hardware-oriented log-quantized optimizer for edge AI devices and their online learning Tatsuya Kaneko, Yoshiharu Yamagishi, Hiroshi Momose, Tetsuya Asai (Hokkaido Univ.) CCS2021-39 |
In recently, the concept of training neural networks (NN) at the edge has attracted much attention. Updating parameters... [more] |
CCS2021-39 pp.19-24 |
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