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Committee Date Time Place Paper Title / Authors Abstract Paper #
RCC, MICT 2019-05-29
15:30		 Tokyo TOKYO BIG SIGHT [Poster Presentation] Vibration time series analysis using persistent homology
Koki Terauchi (Osaka City Univ.), Kazunori Hayashi (Osaka City Univ./RIKEN), Jing Di, Yoji Okada (SEI) RCC2019-10 MICT2019-10		 In this research, in order to diagnose a failure of consumable parts of a rotating machine by using vibration time serie... [more] RCC2019-10 MICT2019-10
pp.47-52
NLP 2008-03-27
15:00		 Hyogo   Analysis method of chaotic time series using measures of networks.
Yutaka Shimada, Tohru Ikeguchi (Saitama Univ.) NLP2007-161		 Complex phenomena are ubiquitous in the real world, for example, fluctuation of financial indices in a
stock market, po... [more]		 NLP2007-161
pp.43-48
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