[2I4-GS-2] Machine learning: Anomaly detection

Wed. Jun 10, 2020 1:50 PM - 3:30 PM Room I (jsai2020online-9)

座長：堀井隆斗（大阪大学）

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1:50 PM - 2:10 PM

[2I4-GS-2-01] Development of an Abnormality Predictor Detection Method Using Partial Observation Markov Decision Process (POMDP)

〇Tomoaki Kimura¹, Dinesh Malla^1,2, Masaru Sogabe², katshuyoshi Sakamoto¹, koichi Yamaguchi¹, Tomah Sogabe^1,2 (1. UEC, 2. Grid Inc. )

2:10 PM - 2:30 PM

[2I4-GS-2-02] An Anomaly Detection Method with Neural Network Near Neighbor

〇Yuichi Kato¹, Kentaro Takagi¹, yaling Tao¹, Susumu Naito¹, Yasunori Taguchi¹, Teguh Budianto¹, Kouta Nakata¹ (1. TOSHIBA CORPORATION)

2:30 PM - 2:50 PM

[2I4-GS-2-03] A Study on Density-Based Data Management in Edge Computing and Its Application to Anomaly Detection

〇Hiroki Oikawa¹, Masaaki Kondo¹ (1. The University of Tokyo)

2:50 PM - 3:10 PM

[2I4-GS-2-04] Failure factor detection in production process

〇Yosuke Otsubo¹, Naoya Otani¹, Megumi Chikasue¹, Masashi Sugiyama^2,3 (1. Nikon Corporation, R&D Division, 2. RIKEN Center for Advanced Intelligence Project, 3. The University of Tokyo, Graduate School of Frontier Sciences)

3:10 PM - 3:30 PM

[2I4-GS-2-05] Technique for Generating Training Data by Fusing Experiment and Simulation for Fault Detection and Diagnosis of Rocket Engine

〇Daiwa SATOH¹, Miki HIRABAYASHI¹, Seiji TSUTSUMI¹, Noriyasu OMATA¹, Masaharu ABE², Kaname KAWATSU¹ (1. Japan Aerospace Exploration Agency, 2. Ryoyu Systems Co., Ltd.)

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