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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
DC 2019-12-20
13:30		 Wakayama   Consideration of AHP calculation method according to scale
Ryota Kouduki, Naohiro Morishima, Yukiko Sugimoto, Tomoki Kobayashi (Kyosan), Takeshi Mizuma, Upvinder Singh, Maheshuni Shiva Krishna (UTokyo) DC2019-78		 AHP is a problem-solving method that approaches both subjective and mechanical indicators in decision-making problems th... [more] DC2019-78
pp.1-6
DC 2019-12-20
13:55		 Wakayama   Consideration of safety analysis application in railway signal system -- Safety analysis using FMEA, STAMP and HAZOP --
Tomoki Kobayashi, Yukiko Sugimoto, Ryota Kouduki, Naohiro Morishima (Kyosan), Upvinder Singh, Maheshuni Shiva Krishna, Takeshi Mizuma (UTokyo) DC2019-79		 Railway signal system design requires a safety analysis method suitable for large-scale and complex systems.Safety analy... [more] DC2019-79
pp.7-10
DC 2019-12-20
14:20		 Wakayama   STAMP & FTA -- Proposal of New Safety Evaluation Method using STAMP & FTA --
Upvinder Singh, Takeshi Mizuma (UTokyo), Hideo Nakamura (NU), Yukiko Sugimoto (Kyosan) DC2019-80		 Modern railway signaling systems are becoming more and more complex with the increased use of software. Conventional saf... [more] DC2019-80
pp.11-15
DC 2019-12-20
14:45		 Wakayama   Examination of safety evaluation method of railway signal system -- Combined use of FMEA, FTA and STPA --
Yukiko Sugimoto, Tomoki Kobayashi, Ryota Kouzuki, Naohiro Morishima (Kyosan), Takeshi Mizuma, Upvinder Singh, Maheshuni Shiva Krishna (Univ. of Tokyo) DC2019-81		 The safety evaluation method for railway signal systems was examined and it was judged that the combination use of FMEA,... [more] DC2019-81
pp.17-20
DC 2019-12-20
15:15		 Wakayama   Classification of railway stop positions by machine learning using on-board equipment accumulated data
Naohiro Morishima, Ryota kouduki, Tomoki Kobayashi, Yukiko Sugimoto (Kyosan), Takeshi Mizuma, Upvinder Singh Upvinder, Shiva Krishna Maheshuni (The University of Tokyo) DC2019-82		 In recent years, the development of AI technology has been remarkable. Analysis using machine learning is attracting att... [more] DC2019-82
pp.21-23
DC 2018-12-14
14:45		 Okinawa Miyako Seisyonen-No-Ie Study on the influence on system quality using FMEA result
Keita Ishikawa, Yasunori Miyama (KYOSAN), Upvinder Singh, Takeshi Mizuma (Tokyo Univ.) DC2018-63		 (To be available after the conference date) [more] DC2018-63
pp.29-32
DC 2018-12-14
15:05		 Okinawa Miyako Seisyonen-No-Ie Study on how to choose substitutes for discontinued parts
Yusuke Yamamoto (Kyosan Electric Mfg.), Takeshi Mizuma, Upvinder Singh (Univ. of Tokyo) DC2018-64		 It is necessary to select a substitute when production discontinuations or recalls occur in parts of products, and it ne... [more] DC2018-64
pp.33-36
 Results 1 - 7 of 7  /   
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