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Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, IT, RCS 2018-01-23
15:35		 Kagawa Sunport Hall Takamatsu Traffic Distribution Scheme based on Real-Coded Genetic Algorithm in Heterogeneous Network
Takahiro Sekii, Shigeaki Ogose (Kagawa Univ.) IT2017-100 SIP2017-108 RCS2017-314		 Processing data traffic in multiple wireless networks improves the user throughput in heterogeneous networks (HetNets). ... [more] IT2017-100 SIP2017-108 RCS2017-314
pp.261-266
NC 2014-01-20
10:25		 Fukuoka Kyusyu Institute of Technology Hodgkin Huxley Type Model Parameter Estimation for Single Neuron via Massively Parallel RCGA -- Application to the Silkmoth Antennal Lobe Neuron --
Akihiko Goto, Tomoki Kazawa, Daisuke Miyamoto (Univ. of Tokyo), Stephan Shuichi Haupt (Bielefeld Univ.), Yusuke Mori, Ryohei Kanzaki (Univ. of Tokyo) NC2013-68		 It is necessary to estimate model parameters of a neuron to simulate electrical activity of the neuron on a computer. We... [more] NC2013-68
pp.7-12
SIS 2011-12-15
14:20		 Yamaguchi   A Reproduction Method of Real-Coded Genetic Algorithm Based on Self-Organizing Map
Yoshiaki Ueda, Ryosuke Kubota (Ube NCT) SIS2011-44		 Genetic algorithm is a search algorithm based on mechanism of natural selection and natural genetics. To solve optimizat... [more] SIS2011-44
pp.25-29
ITE-MMS, MRIS 2010-12-09
15:30		 Ehime Ehime Univ. A Study of Read/Write Channel Modeling for Two-Dimensional Magnetic Recording
Masato Yamashita, Hisashi Osawa, Yoshihiro Okamoto, Yasuaki Nakamura (Ehime Univ.), Yoshio Suzuki (Nihon Univ.), Kenji Miura, Hiroaki Muraoka (Tohoku Univ.) MR2010-46		 Read/write channel modeling using a discrete Voronoi diagram is studied for two-dimensional magnetic recording. The simp... [more] MR2010-46
pp.31-38
MSS 2009-08-06
14:20		 Tokyo JAIST Tokyo Campus Parameter estimation by combination of differential elimination and genetic algorithm in the biological network including unmeasured variables
Masahiko Nakatsui, Katsuhisa Horimoto (AIST) CST2009-13		 In this study, a symbolic-numeric method is proposed to estimate kinetic parameters on the entire network, only from tim... [more] CST2009-13
pp.7-12
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