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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS | 2023-05-19 09:15 |
Okinawa | Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
An experimental evaluation of millimeter-wave link quality prediction using Wi-Fi CSI and supervised learning Shoki Ohta, Kanare Kodera, Takayuki Nishio (Tokyo Tech)  SeMI2023-10 |
This study experimentally evaluates our 60 GHz band millimeter-wave (mmWave) link quality prediction method using 5 GHz ... [more] | SeMI2023-10 pp.42-45 |
| NC, MBE (Joint) |
2023-03-15 13:00 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Towards recommendation-based Intelligent Tutoring Systems promoting self-regulated learning Tai Fumiya, Kurashige Hiroki (Tokai Univ) NC2022-113 |
Intelligent Tutoring Systems (ITS) that recommend items are expected to improve learning efficiency by recommendation. H... [more] | NC2022-113 pp.119-124 |
| MVE, IPSJ-CVIM, VRSJ-SIG-MR | 2023-01-27 10:25 |
Nara | Nara Institute of Science and Technology (Primary: On-site, Secondary: Online) |
Comparison of brain activity when viewing presentation videos with different features
-- Evaluation based on topic difficulty and explanation skills -- Takahiro Morita, Liang Zhang, Atsushi Nagate (SoftBank), Maryam Alimardani, Shuichi Nishio (Osaka Univ) MVE2022-41 |
EEG was used to sense brain activity when viewing four types of presentation videos with different "topic difficulty" an... [more] | MVE2022-41 pp.37-42 |
| ET | 2023-01-20 13:45 |
Hyogo | Hyogo College of Medicine and Online (Primary: On-site, Secondary: Online) |
ET2022-57 |
Analyses of source codes created by learners are often used to support teaching in programming classes. However, most st... [more] | ET2022-57 pp.5-10 |
| 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 |
| IN | 2023-01-19 10:50 |
Aichi | Aichi Industry & Labor Center (Primary: On-site, Secondary: Online) |
A Time Series Analysis of Queueing Systems by Using Machine Learning Tomoyasu Kudo, Takashi Okuda (Aichi Prefectural Univ.) IN2022-54 |
The digital transformation's (DX) market has been expanding rapidly in recent years, and data processing systems that an... [more] | IN2022-54 pp.13-18 |
| AI | 2022-12-21 10:40 |
Fukuoka | Density-based Bias-Free Automatic Chart Generation for Rhythm Games Zhao Yifan, Tsunenori Mine (Kyushu Univ.) AI2022-35 |
Automatic chart generation methods for rhythm games often use both acoustic features and difficulty information when bui... [more] | AI2022-35 pp.13-17 |
|
| ET | 2022-12-10 11:40 |
Ishikawa | JAIST Kanazawa Satellite and Online (Primary: On-site, Secondary: Online) |
A Study on Heart Rate and Brain Waves During Programming Learning in Several Experiments Katsuyuki Umezawa (Shonan Inst. of Tech.), Makoto Nakazawa (Junior College of Aizu), Michiko Nakano, Shigeichi Hirasawa (Waseda Univ.) ET2022-47 |
Several studies have been conducted to measure brain waves during learning and to better understand the learning state. ... [more] | ET2022-47 pp.42-47 |
| MBE, NC | 2022-12-03 13:55 |
Osaka | Osaka Electro-Communication University | Influence of skill learning on speed invariance of finger motions
-- comparisons among professional pianists, dystonia patients, and non-musicians -- Sanshiro Takeda (TUAT), Shinichi Furuya (SONY CSL), Ken Takiyama (TUAT) MBE2022-36 NC2022-58 |
Body movements under various movement speeds retain speed-invariant kinematic features. Although the speed invariance... [more] |
MBE2022-36 NC2022-58 pp.62-67 |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2022-11-30 17:05 |
Kumamoto | (Primary: On-site, Secondary: Online) |
Error detection and countermeasures for computers inserted with hardware Trojan Takuro Kasai, Masashi Imai (Hirosaki Univ.) VLD2022-55 ICD2022-72 DC2022-71 RECONF2022-78 |
In recent years, the threat of hardware Trojans has become a serious problem. However, due to the nature of hardware Tro... [more] | VLD2022-55 ICD2022-72 DC2022-71 RECONF2022-78 pp.206-211 |
| SR | 2022-11-07 10:45 |
Fukuoka | Fukuoka University (Primary: On-site, Secondary: Online) |
[Short Paper]
A Study of Interference Detection Methods when Multiple Types of Radio Waves are Mixed Riku Yamabe, Toshi Ito, Osamu Takyu (Shinshu Univ.) SR2022-48 |
In 5G and beyond 5G, each radio must have high interference tolerance capability. To improve interference tolerance,the ... [more] | SR2022-48 pp.20-23 |
| ET | 2022-11-05 10:35 |
Online | Online | Evaluation of safety education and collaborative learning using GUI in a chemical experiment environment using VR Fujiwara Hisashi, Kano Toru, Akakura Takako (TUS) ET2022-31 |
The purpose of this study is to realize better collaborative learning of chemical experiments in distance learning. In o... [more] | ET2022-31 pp.5-10 |
| ET | 2022-11-05 13:00 |
Online | Online | Proposal for Dynamic Gaze Feedback System to Support Programming Debugging Learning Kohei Yoshimori, Toru Kano, Takako Akakura (TUS) ET2022-33 |
In recently, IT human resources are much in demand to realize of Society 5.0. Therefore, the expansion of programming ed... [more] | ET2022-33 pp.19-24 |
| MI | 2022-09-15 15:15 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Learning of Squamous Cell Image Classification Model Using Preference Learning to Assist Cervical Cytology Yuta Nambu (Future Univ. Hakodate), Tasuku Mariya, Syota Shinkai, Mina Umemoto, Hiroko Asanuma, Yoshihiko Hirohashi, Tsuyoshi Saito, Toshihiko Torigoe (Sapporo Medical Univ.), Ikuma Sato, Yuichi Fujino (Future Univ. Hakodate) MI2022-62 |
To support cervical cell diagnosis, Various classification methods of cervical cell images using machine learning have b... [more] | MI2022-62 pp.53-58 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-15 15:05 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
A Predictive Model of Heat Stress Using Heart Rate Variability Analysis Yusuke Shimada, Masashi Sugano (Osaka Metro. Univ.) SeMI2022-47 |
Predicting and controlling heat stress leads to comfort. Because People have different feelings against heat, we need a ... [more] | SeMI2022-47 pp.127-132 |
| AI | 2022-07-04 16:00 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Unsupervised Learning of a Dynamic Task Ordering Model for Crowdsourcing Ryo Yanagisawa (Waseda Univ.), Susumu Saito, Teppei Nakano (ifLab Inc.), Tetsunori Kobayashi, Tetsuji Ogawa (Waseda Univ.) AI2022-14 |
An unsupervised learning method for a dynamic task ordering model that optimizes the number of orders according to the d... [more] | AI2022-14 pp.72-76 |
| ET, IPSJ-CLE | 2022-06-11 14:15 |
Aichi | Nagoya Institute of Technology/Online (Primary: On-site, Secondary: Online) |
About the Relationship Between Brain Waves, Heart Rate and Facial Expressions During Programming Learning Katsuyuki Umezawa (Shonan Inst. of Tech.), Makoto Nalazawa (Junior College of Aizu), Michiko Nakano, Shigeichi Hirasawa (Waseda Univ.) ET2022-5 |
In the current self-study system, only the learning contents prepared in advance are used, and it is not possible to res... [more] | ET2022-5 pp.14-19 |
| EA | 2022-05-13 14:35 |
Online | Online | A serial anomalous sound detection method using outlier exposure based on two types of binary classification Ibuki Kuroyanagi (Nagoya Univ.), Tomoki Hayashi (Nagoya Univ./HDL/), Kazuya Takeda, Tomoki Toda (Nagoya Univ.) EA2022-8 |
Anomalous sound detection systems use only normal sound data to detect unknown, atypical sounds. Conventional methods us... [more] | EA2022-8 pp.35-40 |
| MSS, NLP | 2022-03-29 10:05 |
Online | Online | Relationship between Computational Performance and Task Difficulty of Reinforcement Learning Methods Using Reward Machines Ryuji Watanabe, Gouhei Tanaka (The Univ. of Tokyo) MSS2021-70 NLP2021-141 |
In reinforcement learning, it is necessary to take into account the history of past state transitions during learning fo... [more] | MSS2021-70 NLP2021-141 pp.77-82 |
| SWIM | 2022-02-18 13:35 |
Online | Online | Proposal of Circulatory Data Model between Big Data and Fog Nodes Tsukasa Kudo, Takehiro Yamamoto, Tomoki Watanabe (SIST) SWIM2021-33 |
Currently, a large amount of data is published on the cloud as big data. However, since it is not fit for the individual... [more] | SWIM2021-33 pp.15-22 |
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