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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ET | 2023-03-15 16:45 |
Tokushima | Tokushima University (Primary: On-site, Secondary: Online) |
Research on the Development of an Interface to Configure Network Teaching Materials through Physical Manipulation Yudai Nakamura (Hiroshima Univ), Kazuaki Yoshihara (Kindai Univ), Kenzi Watanabe (Hiroshima Univ)  ET2022-94 |
The Course of Study of Information subject for Senior High School indicates that the contents of information and telecom... [more] | ET2022-94 pp.215-221 |
| PRMU | 2022-12-15 14:10 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
* Yuki Taya, Rin Takano, Hiroyuki Oyama (NEC) PRMU2022-37 |
In order for a robot to perform a given task instruction, it is important for the robot to correctly recognize the targe... [more] | PRMU2022-37 pp.29-33 |
| WIT, HI-SIGACI | 2022-12-08 11:15 |
Tokyo | AIST Tokyo Waterfront (TBD) | Analysis of Learning Behavior of Deaf and Hard of Hearing Students in Use of Novel-Game Type On-Demand Learning Contents Daisuke Wakatsuki (NTUT), Takeaki Shionome (Teikyo Univ.), Tatsuya Arai (NTUT) WIT2022-7 |
Captions are extremely important for the Deaf and hard of hearing(DHH) people to understand and comprehend video content... [more] | WIT2022-7 pp.17-22 |
| ET | 2022-11-05 10:10 |
Online | Online | Development of a VR class contents creation support system that enables manipulation of 3D objects by hand signs. Riku Koyama, Toru Kano, Takako Akakura (TUS) ET2022-30 |
With the recent development of information technology, VR class content that enables learning in a VR space has been att... [more] | ET2022-30 pp.1-4 |
| ET | 2022-11-05 13:25 |
Online | Online | Strategy-based Code Sharing Method in a Code Sharing Platform for Encouraging Refinement Activities Shintaro Maeda, Kento Koike, Takahito Tomoto (Tokyo Polytechnic Univ.) ET2022-34 |
Refinement activities are important in learning programming to make codes better. To promote refinement activities, we h... [more] | ET2022-34 pp.25-28 |
| MVE | 2022-09-09 10:30 |
Tokyo | (Primary: On-site, Secondary: Online) |
Self-Supervised Learning for Echo Chamber-aware Friend Recommendation Luwei Zhang, Toshihiko Yamsaski (UTokyo) MVE2022-14 |
In recommender systems, the creation of echo chambers and filter bubbles obviously lowers the diversity of recommendatio... [more] | MVE2022-14 pp.22-25 |
| IN, CCS (Joint) |
2022-08-04 13:10 |
Hokkaido | Hokkaido University(Centennial Hall) (Primary: On-site, Secondary: Online) |
Research on Content Selection Manner by Predicting Users' Interests Focusing on Acquired Web Similarity Takeshi Tsuchiya (Tokyo International Univ.), Rika Misawa, Ryuichi Mochizuki, Tetsuyasu Yamada, Hiroo Hirose (SUS) IN2022-15 |
This research proposes content selection methods using the characteristics of a user's most recent web content history t... [more] | IN2022-15 pp.7-10 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 14:25 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Development and Evaluation of Blockchain-based Work Execution Status Management and Verification System Rui Tanaka (Ritsumeikan Univ.), Hiroshi Yamamoto (Ritsumeikan University) NS2022-48 |
In Japan, due to the revision of the model employment regulations, the companies that allows side jobs are increasing. H... [more] | NS2022-48 pp.112-117 |
| 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 |
| SC | 2022-05-27 09:55 |
Online | Online | Considerations for Identifying Machine Learning Models Naoto Kiribuchi, Ryohei Suzuki, Nami Ashizawa (NTT), Tetsushi Ohki, Hiroshi Mineno, Masakatsu Nishigaki (Shizuoka Univ.) SC2022-2 |
As a part of considerations for identifying machine learning models, we experimented whether we can identify multiple di... [more] | SC2022-2 pp.7-12 |
| ET | 2022-03-04 13:25 |
Online | Online | An Interactive Robot Lecture System Using Humanoid Robot Toshiyuki Shimazaki, Ayumu Sugawara, Mitsuhiro Goto, Akihiro Kashihara (UEC) ET2021-68 |
In lectures, it is important for lecturers to control the attention of learners to elicit their interests and maintain t... [more] | ET2021-68 pp.97-102 |
| ET | 2021-12-11 11:10 |
Online | Online | Application and Improvement of VR Content Creation Support System in Classes Riku Koyama (TUS), Teruhiko Unoki (PHOTRON), Toru Kano, Takako Akakura (TUS) ET2021-32 |
One of the reasons why VR has not been widely used in the field of education is that handling VR requires specialized kn... [more] | ET2021-32 pp.17-22 |
| ET | 2021-11-06 13:40 |
Online | Online | Analysis of behaviors by students in cooperative learning for video lectures (Sixth report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Ozeki (Kindai Univ.) ET2021-26 |
In this report, we discuss a method for the estimation of the face direction of students in the cooperative learning. He... [more] | ET2021-26 pp.25-30 |
| WIT | 2021-08-20 14:20 |
Online | Online | Basic Study on Novel-Game Type On-Demand Learning Contents for Deaf and Hard of Hearing Students Tatsuya Arai (NTUT), Takeaki Shionome (Teikyo Univ.), Daisuke Wakatsuki (NTUT) WIT2021-15 |
In this study, we developed a learning contents that allows students to learn based on subtitles by presenting speech-r... [more] | WIT2021-15 pp.11-16 |
| MBE | 2021-05-28 13:55 |
Online | Online | Emotional Estimation by Micro-expression Using Ensemble Learning Koki Kato, Hironobu Takano (Toyama Pref. Univ.), Masahiro Saiko, Masahiro Kubo, Hitoshi Imaoka (NEC) MBE2021-2 |
Bad news, such as cancer notifications from doctors, has a big impact on patients. The patient does not remember the con... [more] | MBE2021-2 pp.2-5 |
| EMM, IT | 2021-05-20 16:10 |
Online | Online | [Invited Talk]
Secure Computation of Sparse Modeling
-- Edge AI with Lightweight and Small Amounts of Data -- Takayuki Nakachi (Univ. of the Ryukyus) IT2021-6 EMM2021-6 |
With the advent of the big data, IoT, AI era, all digital contents continue to increase. Sparse modeling is drawing atte... [more] | IT2021-6 EMM2021-6 pp.31-36 |
| LOIS, IPSJ-SPT, IPSJ-CN | 2021-05-11 11:25 |
Online | Online | Analysis of behaviors by students in cooperative learning for video lectures (Fifth report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) LOIS2021-11 |
In this report, we propose a model for evaluating the interaction between behaviors of students and quantify the strengt... [more] | LOIS2021-11 pp.60-65 |
| MI | 2021-03-17 11:00 |
Online | Online | Optimal Design and Quality Assessment of Color Laparoscopic Super-Resolution Image by Generative Adversarial Networks Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MI2020-91 |
The Generative Adversarial Networks (GAN) is unsupervised learning enabled to transform according to data characteristic... [more] | MI2020-91 pp.186-190 |
| MVE, IPSJ-CVIM | 2021-01-22 10:00 |
Online | Online | Marine life VR learning support system based on swimming simulation of fish Masaki Akaike, Yuko Takishita, Wenjun Li, Junichi Hoshino (Tsukuba Univ.) MVE2020-35 |
In this paper, we created a marine life learning support system” Marine Quest” based on swimming simulation of fish. In ... [more] | MVE2020-35 pp.24-29 |
| ET | 2020-12-12 10:50 |
Online | Online | Learning Support System for Intellectual Property Law using Logic Circuits and its Practical Use Masashi Komatsu, Toru Kano, Takako Akakura (TUS) ET2020-36 |
The authors have been working on the development of an intellectual property law learning support system for students in... [more] | ET2020-36 pp.11-16 |
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