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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SRW, SeMI, CNR (Joint) |
2022-11-24 12:30 |
Tochigi | Epinard Nasu (Primary: On-site, Secondary: Online) |
A Comprehensive System for Social Robot Detection Using RoBERTa Classifier and Random Forest Regressor with Similarity Analysis Yeyang Chen, Mondher Bouazizi, Tomoaki Ohtsuki (Keio Univ.)  SeMI2022-51 |
As one of the most popular social media platforms, Twitter has skyrocketed over the past few years. At the same time, th... [more] | SeMI2022-51 pp.12-17 |
| PRMU | 2022-10-21 10:00 |
Tokyo | Miraikan - The National Museum of Emerging Science and Innovation (Primary: On-site, Secondary: Online) |
Melody popularity analysis by using SPICE circuit neural network having time-sequence structured neurons Ayumi Imamoto, Taichiro Kojima, Yuka Honjo, Kan Takeuchi PRMU2022-22 |
To comprehend what in melodies moves our soul, an analog neural network rather than digital AI is used. The unit neuron ... [more] | PRMU2022-22 pp.1-5 |
| LOIS, IPSJ-SPT, IPSJ-CN | 2022-05-27 14:30 |
Online | Online | Analysis of interactions between lecturer and students in lectures (Sixth report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) LOIS2022-1 |
In lectures using blackboard, we can observe the behaviors (listening to the explanation and taking notes) of students c... [more] | LOIS2022-1 pp.1-6 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-11 14:15 |
Online | Online (Zoom) | A morphing-based web conference system for promoting turning on the video Shunsuke Yoshitsugu, Ryota Mima, Keita Kobayashi, Taro Obayashi, Tomoko Yonezawa (Kansai Univ.) IMQ2021-60 IE2021-122 MVE2021-89 |
(To be available after the conference date) [more] | IMQ2021-60 IE2021-122 MVE2021-89 pp.261-265 |
| CNR, BioX | 2022-03-03 14:30 |
Online | Online | Ear feature point detection method using jet space similarity Takanari Minamidani, Daishi Watabe (SIT), Akihiro Hayasaka, Hitoshi Imaoka (NEC) BioX2021-49 CNR2021-30 |
(To be available after the conference date) [more] | BioX2021-49 CNR2021-30 pp.17-20 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 11:20 |
Online | Online | A Study on Elucidating Hierarchical Neural Processing of Visual and Semantic Information using Deep Learning Haruka Kawasaki (Ochadai), Satoshi Nishida (NICT), Ichiro Kobayashi (Ochadai) NC2021-32 |
As an objective to explore the neural hierarchical processing underlying the transition from visual to semantic informat... [more] | NC2021-32 pp.7-12 |
| SS, MSS | 2022-01-11 13:15 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Bisimilarity Control of Timed Nondeterministic Discrete Event Systems under Event and State Observations Mouheeb Aous, Shigemasa Takai (Osaka Univ.) MSS2021-35 SS2021-22 |
In this paper, we address the problem of supervisory control for plants and specifications modeled as timed nondetermini... [more] | MSS2021-35 SS2021-22 pp.23-28 |
| SS, MSS | 2022-01-12 09:15 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Execution-trace embedding using word-proximity metric for a method to automatically classify test results Takuma Ikeda, Kozo Okano, Shinpei Ogata (Shinshu Univ.), Shin Nakajima (NII) MSS2021-46 SS2021-33 |
The problem to solve automatically classifying the results of test executions is called the test oracle problem. This is... [more] | MSS2021-46 SS2021-33 pp.83-88 |
| DE | 2021-07-24 10:20 |
Kanagawa | KAIT IT extension center (Hybrid) (Primary: On-site, Secondary: Online) |
[Short Paper]
COVID-19 and biased information dissemination on Twitter Gefei Li (AIST/Waseda Univ.), Yijun Duan, Taehoon Kim, Kyoungsook Kim (AIST) DE2021-4 |
This study aims to examine if Twitter users with a higher level of similarity would have a more similar distribution of ... [more] | DE2021-4 pp.18-21 |
| KBSE, SWIM | 2021-05-21 14:45 |
Online | Online | Calculating similarity among Java programs based on method calls and visualization of similar programs Yoshihisa Udagawa (Tokyo Univ. of Information Sciences) KBSE2021-5 SWIM2021-5 |
One of the promising ways to improve programming techniques is to refer to sample programs published on the Internet. Ho... [more] | KBSE2021-5 SWIM2021-5 pp.25-30 |
| LOIS, IPSJ-SPT, IPSJ-CN | 2021-05-11 11:00 |
Online | Online | Analysis of noting behaviors by students in video lectures (Fifth report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) LOIS2021-10 |
In this report, we analyze learning behaviors of students for video lectures assuming real-time lectures. Here, we assum... [more] | LOIS2021-10 pp.54-59 |
| LOIS | 2021-03-04 16:40 |
Online | Online | A study of similarity prediction method for human activity by combining POI and GEO Cao Qingying, Yoshikazu Ueda (Ibaraki University) LOIS2020-55 |
In the information-oriented society, SNS has permeated the society widely, and it is difficult to select the people who ... [more] | LOIS2020-55 pp.47-52 |
| SIS | 2021-03-04 10:20 |
Online | Online | Evaluation of Sound Field by Monofractal Dimension Hideo Shibayama (Shibaura Institute of Technology), Yoshiaki Makabe (Kanagawa Institute of Technology), Kenji Muto (Shibaura Institute of Technology), Tomoaki Kimura (Kanagawa Institute of Technology) SIS2020-39 |
Environmental sound is composed of sounds generated from various sources. And, the sound pressure waveform is constantly... [more] | SIS2020-39 pp.21-26 |
| ICSS, IPSJ-SPT | 2021-03-01 11:30 |
Online | Online | Method of Similarity Evaluation among Incidents for Multi-Located Network Masahito Kumazaki, Hirokazu Hasegawa, Yukiko Yamaguchi, Hajime Shimada (Nagoya Univ.), Hiroki Takakura (NII) ICSS2020-31 |
In an organization computer network which consists of multiple sites, there are differences in security strength between... [more] | ICSS2020-31 pp.31-36 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-19 14:50 |
Online | Online | [Special Talk]
A Framework of Exploring Store-Clusters with Multiple Similarities Yoshiaki Okubo (Hokkaido Univ.) |
In this paper, we discuss an interactive framework of exploring various clusters of objects observed in a given relation... [more] | |
| NS, NWS (Joint) |
2021-01-22 14:20 |
Online | Online | An Aggregation Approach for Improving Network Scan Failure and Delay Estimation of IoT Wireless Equipment Babatunde Ojetunde, Kenta Suzuki, Kazuto Yano, Yoshinori Suzuki (ATR) NS2020-118 |
Recently we proposed a method for identifying the network scan response state that is needed to estimate the cause of ne... [more] | NS2020-118 pp.43-52 |
| DE, IPSJ-DBS | 2020-12-21 13:30 |
Online | Online | Quantification of relation between semantic similarity and price transition similarity among words Takaaki Moriya, Manabu Nishio, Taizo Yamamoto, Yu Miyoshi (NTT) DE2020-17 |
Data analysis often finds a new evidence which is different from what is expected in advance. It includes unexpectedness... [more] | DE2020-17 pp.1-6 |
| PRMU | 2020-12-18 17:15 |
Online | Online | Rethinking the local similarity in content-based image retrieval Longjiao Zhao (Nagoya Univ.), Yu Wang (Ritsumeikan Univ), Yoshiharu Ishikawa (Nagoya Univ.), Jien Kato (Ritsumeikan Univ) PRMU2020-68 |
Recently, Convolutional Neural Networks(CNN) have shown good performance in the image retrieval task. Especially, local ... [more] | PRMU2020-68 pp.172-176 |
| KBSE, SC | 2020-11-13 15:02 |
Online | Online + Kikai-Shinko-Kaikan Bldg. (Primary: Online, Secondary: On-site) |
[Poster Presentation]
Understanding Problem Characteristics in Online Judge System Taro Ikeda, Erina Makihara, Keiko Ono, Hirotaka Yoneda (Doshisha Univ.) KBSE2020-14 SC2020-18 |
Online Judge System (OJS) as a means of programming learning has attracted a lot of attention, But it is inherently the ... [more] | KBSE2020-14 SC2020-18 pp.27-29 |
| ET | 2020-10-17 13:10 |
Online | Online | Analysis of interactions between lecturer and students in lectures (Fifth report) Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) ET2020-22 |
In lectures using blackboard, we can observe the behaviors (listening to the explanation and taking notes) of students c... [more] | ET2020-22 pp.1-6 |
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