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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 #
CCS, NLP 2022-06-10
14:25
Osaka
(Primary: On-site, Secondary: Online)
The skeletal structure of transition probabilities on quantum-walk-replicating random walks
Tomoki Yamagami (UTokyo), Etsuo Segawa (YNU), Ken'ichiro Tanaka, Takatomo Mihana, Andre Roehm, Ryoichi Horisaki, Makoto Naruse (UTokyo) NLP2022-19 CCS2022-19
In this report, we analyze the transition probabilities of random walk replicating the probability distribution of quant... [more] NLP2022-19 CCS2022-19
pp.94-99
CCS, NLP 2022-06-10
17:10
Osaka
(Primary: On-site, Secondary: Online)
Application of pairing optimization algorithm to non-orthogonal multiple access
Naoki Fujita, Andre Roehm, Takatomo Mihana, Ryoichi Horisaki (The Univ. of Tokyo), Aohan Li (The Univ. of Electro-Communications), Mikio Hasegawa (Tokyo Univ. of Science), Makoto Naruse (The Univ. of Tokyo) NLP2022-25 CCS2022-25
Non-Orthogonal Multiple Access (NOMA) is a promising next-generation communication technology that enables multiple term... [more] NLP2022-25 CCS2022-25
pp.129-134
NLP, NC
(Joint)
2019-01-24
11:40
Hokkaido The Centennial Hall, Hokkaido Univ. Numerical simulation on decision making using spontaneous exchange of synchronization in chaotic lasers
Takatomo Mihana, Yusuke Mitsui, Kazutaka Kanno (Saitama Univ.), Makoto Naruse (NICT), Atsushi Uchida (Saitama Univ.) NLP2018-115
Decision making using chaotic laser dynamics has been proposed recently. We propose a method for solving the multi-armed... [more] NLP2018-115
pp.101-106
NLP 2017-07-13
14:55
Okinawa Miyako Island Marine Terminal Adaptivity and convergence characteristics of decision making using chaotic semiconductor laser
Takatomo Mihana, Yuta Terashima (Saitama Univ.), Makoto Naruse (NICT), Song-Ju Kim (NIMS), Atsushi Uchida (Saitama Univ.) NLP2017-35
We numerically investigate decision making based on the tug-of-war theory using fast chaotic temporal waveforms generate... [more] NLP2017-35
pp.41-46
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