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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
DC |
2019-12-20 13:30 |
Wakayama |
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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 |
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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 14:45 |
Wakayama |
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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 |
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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 |
CAS, NLP |
2013-09-27 09:00 |
Gifu |
Satellite Campus, Gifu University |
Dynamic Binary Neural Networks: Storing a Periodic Orbit and its Stabilization Ryota Kouzuki, Toshimichi Saito (Hosei Univ.) CAS2013-44 NLP2013-56 |
(To be available after the conference date) [more] |
CAS2013-44 NLP2013-56 pp.45-49 |
MBE, NC (Joint) |
2013-03-13 11:05 |
Tokyo |
Tamagawa University |
Learning of Dynamic Binary Networks with Sparse Connection and Its Application Jungo Moriyasu, Ryota Kouzuki, Toshimichi Saito (Hosei Univ.) NC2012-136 |
This paper studies basic dynamics and learning capability of the simple dynamic binary neural network. The network has ... [more] |
NC2012-136 pp.13-17 |
NC, NLP |
2013-01-25 13:10 |
Hokkaido |
Hokkaido University Centennial Memory Hall |
Learning of Dynamics Binary Neural Networks: Storing a Desired Periodic Orbit and its Stability Ryota Kouzuki, Toshimichi Saito (Hosei Univ.) NLP2012-133 NC2012-123 |
This paper studies a dynamic binary neural networks characterized by signum activation function and ternary weighting pa... [more] |
NLP2012-133 NC2012-123 pp.165-168 |
NC |
2012-10-05 11:05 |
Fukuoka |
Kyushu Institute of Technology (Wakamatsu Campus) |
Learning and application of dynamic binary neural networks Ryota Kouzuki, Yuta Nakayama, Toshimichi Saito (HU) NC2012-51 |
This paper studies simple dynamic binary neural networks characterized by signum activation function and ternary weighti... [more] |
NC2012-51 pp.85-89 |
NLP |
2012-01-24 10:35 |
Fukushima |
Aizu-keiko-do Hall |
Behavioral analysis of cellular automata based on mixed rules Ryota Kouzuki, Ryo Ito, Toshimichi Saito (HU) NLP2011-137 |
This paper studies a modified cellular automaton whose dynamics is governed by repetition of two local rules.
This sys... [more] |
NLP2011-137 pp.75-79 |
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