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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, NLP
(Joint)		 2021-01-21
10:05		 Online Online Extraction of Property for Nonlinear Time Series by Changing Density of Recurrence Plots
Shiki Kanamaru, Nina Sviridova (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2020-41		 A recurrence plot is one of the most effective nonlinear time series analysis methods for qualitatively understanding a ... [more] NLP2020-41
pp.7-12
NLP 2019-05-10
14:55		 Oita J:COM HoltoHALL OITA Feature extraction of nonlinear time series signal by threshold variation of recurrence plot
Shiki Kanamaru (TUS), Yutaka Shimada (Saitama Univ.), Tohru Ikeguchi (TUS) NLP2019-5		 In this report, we propose a feature extraction method of nonlinear time series by threshold variation of the recurrence... [more] NLP2019-5
pp.23-28
NLP, NC
(Joint)		 2019-01-23
11:00		 Hokkaido The Centennial Hall, Hokkaido Univ. Performance Evaluation of Chaotic Random Numbers Using Integer Logistic Map by NIST Test
Shiki Kanamaru (TUS), Yutaka Shimada (Saitama Univ.), Kantaro Fujiwara (UT), Tohru Ikeguchi (TUS) NLP2018-100		 In this report, we generated pseudorandom numbers using chaotic dynamics and investigated its performance as pseudorando... [more] NLP2018-100
pp.23-28
CAS, NLP 2018-10-18
15:05		 Miyagi Tohoku Univ. Effects of numerical precision on statistical performance of chaotic random numbers
Shiki Kanamaru (TUS), Yutaka Shimada (Saitama Univ.), Kantaro Fujiwara (UT), Tohru Ikeguchi (TUS) CAS2018-45 NLP2018-80		 We investigated the possibility of generating a pseudo random number sequence with good performance by using chaotic dyn... [more] CAS2018-45 NLP2018-80
pp.45-50
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