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Technical Committee on Dependable Computing (DC) (Searched in: 2019)
Search Results: Keywords 'from:2019-12-20 to:2019-12-20'
| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| DC | 2019-12-20 15:40 |
Wakayama | Study on Condition-Based Maintenance of Railway Signal Equipment using the Machine Learning Hiroshi Shida (JR West), Akihiro Tamura, Takashi Ninomiya, Hiroshi Takahashi (Ehime Univ) DC2019-83 |
Dependable systems are required high safety and reliability. Recently, condition-based maintenance(CBM) is expected to m... [more] | DC2019-83 pp.25-30 |
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| DC | 2019-12-20 16:05 |
Wakayama | Extension of an Approximate Voting Scheme IDMR for Fail-Operational Systems Kazunori Yukihiro, Hideyuki Ichihara, Tomoo Inoue (Hiroshima City Univ.) DC2019-84 |
In safety critical systems, e.g., automotive systems, the concept of fail-operational is very important. In this paper ... [more] |
DC2019-84 pp.31-36 |
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| DC | 2019-12-20 16:30 |
Wakayama | Aging Observation using On-Chip Delay Measurement in Long-term Reliability Test Yousuke Miyake, Takaaki Kato, Seiji Kajihara (Kyutech), Masao Aso, Haruji Futami, Satoshi Matsunaga (Syswave), Yukiya Miura (TMU) DC2019-85 |
Avoidance of delay-related faults due to aging phenomena is an important issue of VLSI systems. Periodical delay measure... [more] | DC2019-85 pp.37-42 |
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