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 Results 1 - 6 of 6  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CAS, NLP 2009-09-24
15:20		 Hiroshima Hiroshima Univ. Higashi Senda Campus Probability Distribution and Its Applications for Local Standard Fractal Dimension
Kenichi Kamijo (Toyo Univ.), Akiko Yamanouchi (IORI) CAS2009-33 NLP2009-69		 The moving local standard fractal dimension (LSFD) on the uniform or standard normal random process belongs to a non-sym... [more] CAS2009-33 NLP2009-69
pp.53-58
NLP 2009-03-10
15:45		 Kyoto   A Method for Structure Analysis of EEG data -- An Example of EEG Fluctuation in Vegetable Ingestion --
Takashi Ajiro (Toyo Univ. Plant Regulation Center), Akiko Yamanouchi (Izu Oceanics Research Institute), Koichiro Shimomura, Hirobumi Yamamoto, Kenichi Kamijo (Toyo Univ. Plant Regulation Center) NLP2008-161		 Captured times and weak voltage values are included in EEG data from EEG measuring instrument (Brain Builder Unit). Thes... [more] NLP2008-161
pp.59-64
NLP 2008-07-31
16:50		 Kochi   A Method for Statistical Quality Control Using Local Fractal Dimension
Kenichi Kamijo (Toyo Univ.), Akiko Yamanouchi (IORI) NLP2008-31		  [more] NLP2008-31
pp.61-66
NLP 2007-11-22
17:15		 Fukuoka   Standardization for Local Fractal Dimension and Its Characteristics in Discrete Time Series
Kenichi Kamijo (Toyo Univ.), Akiko Yamanouchi (IORI) NLP2007-107		 The local fractal dimension and the local contribution ratio in discrete time series have been already proposed and many... [more] NLP2007-107
pp.65-70
NLP 2006-11-13
16:45		 Okayama   Time Series Analysis Using Moving Relative Variance -- Application to Altitudinal Seawater Temperature --
Kenichi Kamijo (Toyo Univ.), Akiko Yamanouchi (IORI) 		 [more] NLP2006-74
pp.45-50
NLP 2006-05-11
16:20		 Kumamoto Kumamoto Univ. A Method for Fluctuation Analysis in LFD Using Walsh Orthogonal Function System
Kenichi Kamijo (Toyo Univ.), Akiko Yamanouchi (IORI) 		The local fractal dimension can be used as an index to indicate the characteristics or manners of the fluctuation in a g... [more] NLP2006-9
pp.43-48
 Results 1 - 6 of 6  /   
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