The 40th Annual Conference of the Japanese Society for Artificial Intelligence, 2026
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Session Details

Organized SessionOrganized session : OS-38

[5K3-OS-38b]OS-38

Fri. Jun 12, 2026 2:00 PM - 3:30 PM JST
Fri. Jun 12, 2026 5:00 AM - 6:30 AM UTC
Room K(Middle room 201A)
オーガナイザ：矢入 健久（東京大学），堤 誠司（JAXA），今村 誠（東海大学），植野 研（東芝）
2:00 PM - 2:15 PM JST(5:00 AM - 5:15 AM UTC)

[5K3-OS-38b-01]Degradation Diagnosis based on Current Sensor Waveforms by Robust One-Class Learning Time-series Shapelets (ROCLTS)

〇Ken Ueno1, Akihiro Yamaguchi1, Jin Machida1, Yuko Kobayashi2, Misato Ishikawa2, Hitoshi Kobayashi3, Ayaka Takemura3, Takahiro Kokubo3, Tetsuya Asayama3 (1. System AI R&D Dept., AI Digital R&D Center, Toshiba Corporation, 2. Mechanical Systems R&D Dept., Advanced Devices R&D Center, Toshiba Corporation, 3. Machinery and Equipment Development Dept., Production Innovation Technology Center, Toshiba Corporation)
2:15 PM - 2:30 PM JST(5:15 AM - 5:30 AM UTC)

[5K3-OS-38b-02]Target class incomplete domain adaptation using state difference representations and its application to damage level estimation of wind turbine bearings

Takuya Wakayama1, Taiki Inoue1, Teppei Nakano1, Satoru Fukayama2, Makoto Iida3, 〇Tetsuji Ogawa1 (1. Waseda University, 2. National Institute of Advanced Industrial Science and Technology, 3. The University of Tokyo)
2:30 PM - 2:45 PM JST(5:30 AM - 5:45 AM UTC)

[5K3-OS-38b-03]Anomaly Detection for Spacecraft Propulsion Systems Based on Mode Decomposition of Pressure Responses

〇Noriyasu Omata1, Shotaro Hamato1, Himeko Yamamoto1, Yu Daimon1,2, Seiji Tsutsumi1 (1. Japan Aerospace Exploration Agency, 2. University of Tsukuba)
2:45 PM - 3:00 PM JST(5:45 AM - 6:00 AM UTC)

[5K3-OS-38b-04]A Visualization Approach for Dataset Quality Adaptable to Continuously Varying Measurement Error Factors

〇Kosei Ozeki1, Nobuaki Tanaka1, Toshiyuki Kuriyama1 (1. Mitsubishi Electric Corporation)
3:00 PM - 3:15 PM JST(6:00 AM - 6:15 AM UTC)

[5K3-OS-38b-05]Performance Improvement of LLM-Based Automated Physical Model Building by Workflow and Prompt Design

〇Daiki Furusho1, Shota Kato1, Manabu Kano1 (1. Kyoto University)
3:15 PM - 3:30 PM JST(6:15 AM - 6:30 AM UTC)

[5K3-OS-38b-06](Summarization)

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