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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MSS, CAS, IPSJ-AL [detail] 2024-11-26
10:45
Hokkaido (Hokkaido) On Reconstruction of Boolean Networks Using Input-Output Data Sets
Xiaoniujin Chen, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2024-62 MSS2024-27
In this paper, we propose a reconstruction method of Boolean networks from input-output data sets. A Boolean network is ... [more] CAS2024-62 MSS2024-27
pp.1-3
RCC, RCS, SeMI, NS, SR, RISING
(Joint)
2024-07-18
09:50
Hokkaido Hokkaido Citizens Activities Promotion Center (Hokkaido, Online)
(Primary: On-site, Secondary: Online)
State-Flipped Control for Probabilistic Boolean Networks Using Reinforcement Learning
Tatsuya Hasegawa, Fuma Motoyama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) RCC2024-26
In this paper, we propose a Q-learning reward design method for state-flipped control of probabilistic Boolean networks ... [more] RCC2024-26
pp.43-46
COMP 2023-12-22
14:10
Miyazaki Miyazaki Univ. Machinaka Campus (Miyazaki) Efficient Enumeration of Quantum Circuits Realizing Boolean Functions by Toffoli Gate Count
Shigeru Yamashita (Ritsumeikan Univ.), Takashi Horiyama (Hokkaido Univ.), Norihito Yasuda (NTT) COMP2023-22
Quantum Boolean circuits, which compute Boolean functions necessary for quantum computation, are commonly designed using... [more] COMP2023-22
pp.37-44
DC 2023-02-28
15:15
Tokyo Kikai-Shinko-Kaikan Bldg (Tokyo, Online)
(Primary: On-site, Secondary: Online)
A Seed Generation Method for Multiple Random Pattern Resistant Transition Faults for BIST
Yangling Xu, Rei Miura, Toshinori Hosokawa (Nihon Univ), Masayoshi Yoshimura (KSU) DC2022-89
With shrinking feature sizes, growing clock frequencies, and decreasing power supply voltage, modern very large integrat... [more] DC2022-89
pp.39-44
MSS, CAS, IPSJ-AL [detail] 2020-11-25
17:25
Online Online (Online) Data-Driven Optimal Reconstruction of Boolean Networks with Noisy Dynamics
Koichi Kobayashi (Hokkaido Univ.), Yuhu Wu (Dalian Univ. of Tech.) CAS2020-25 MSS2020-17
A Boolean network is a mathematical model that the dynamics are represented by Boolean functions. In this paper, a metho... [more] CAS2020-25 MSS2020-17
pp.34-39
COMP 2019-12-13
15:35
Gunma Ikaho Seminar House, Gunma University (Gunma) Reduction of number of signals on controlling reaction systems
Ryutaro Yako, Satoshi Kobayashi (UEC) COMP2019-39
We proposed a mathematical framework in which we can choose arbitrary boolean function to be computed by controlling rea... [more] COMP2019-39
pp.69-76
NLP 2018-04-26
16:25
Kumamoto Kumaoto Univ. (Kumamoto) Construction Methods of Probabilistic Boolean Networks Based on Imperfect Information
Katsuaki Umiji, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) NLP2018-11
A probabilistic Boolean network (PBN) is one of the mathematical models of gene regulatory networks. In a Boolean networ... [more] NLP2018-11
pp.49-52
VLD, CAS, MSS, SIP 2016-06-16
15:50
Aomori Hirosaki Shiritsu Kanko-kan (Aomori) Controllability Analysis of Boolean Networks Focusing on Attractors
Koichi Kobayashi (Hokkaido Univ.) CAS2016-12 VLD2016-18 SIP2016-46 MSS2016-12
In this paper, based on a singleton attractor, the controllability problem of a gene regulatory network modeled by a Boo... [more] CAS2016-12 VLD2016-18 SIP2016-46 MSS2016-12
pp.61-66
ICSS, IPSJ-SPT 2016-03-04
15:40
Kyoto Academic Center for Computing and Media Studies, Kyoto University (Kyoto) Higher-order differential attack on the round-reduced variants of the block cipher
Yusuke Takahashi, Yasutaka Igarashi, Toshinobu Kaneko (TUS) ICSS2015-73
Midori64 proposed by Banik et al. in 2015 is an SPN-type block cipher with 128-bit secret key. The designers have evalua... [more] ICSS2015-73
pp.159-164
MSS, CAS, SIP, VLD 2015-06-17
09:20
Hokkaido Otaru University of Commerce (Hokkaido) Design of Probabilistic Boolean Networks Based on Network Structure and Steady-state Probabilities
Koichi Kobayashi (Hokkaido Univ.), Kunihiko Hiraishi (JAIST) CAS2015-1 VLD2015-8 SIP2015-32 MSS2015-1
In this paper, we consider the problem of finding a probabilistic Boolean network (PBN) based on network structure and d... [more] CAS2015-1 VLD2015-8 SIP2015-32 MSS2015-1
pp.1-6
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