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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 64 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AI 2011-05-26
10:30
Tokyo Kwansei Gakuin Univ. Tokyo Marunouchi Campus Several Remarks on the Acquisition of Web-Information -- Co-existence of Bit and Linguistic Information, and Corporal Intelligence --
Kimiaki Tokumaru (System Engineer) AI2011-1
The author has been investigating on the origin and mechanism of language through interdisciplinary researches. He reali... [more] AI2011-1
pp.1-6
SITE, IPSJ-EIP 2011-05-19
10:25
Tokyo Tokyo Univ. of Science A study on Action research and Antivirus awareness that uses Boolean Analysis
Nobuo Iiduka, Shun-ichi Kurino, Noriaki Yoshikai (Nihon Univ.) SITE2011-2
A virus infection situation can be considered a kind of state of panic. Although such a situation is an area applicable ... [more] SITE2011-2
pp.5-10
COMP 2010-12-03
11:05
Fukuoka Kyutech Plaza, Kyushu Institute of Technology Energy-Efficient Threshold Circuits Computing Mod Functions
Akira Suzuki, Kei Uchizawa, Xiao Zhou (Tohoku Univ.) COMP2010-40
We prove that the modulus function
MOD$_m$ of $n$ variables can be computed by a threshold circuit $C$ of
energy $e$ a... [more]
COMP2010-40
pp.7-13
TL, NLC 2010-10-23
17:25
Tokyo Kikai-Shinko-Kaikan Bldg. The Logic and Emotion in Natural Language -- On their common root, and the emotion as an origin of concept --
Kimiaki Tokumaru (System Engineer) TL2010-35 NLC2010-14
The logic and emotion are originally an inseparable function of survival instinct of living creatures; the emotion devel... [more] TL2010-35 NLC2010-14
pp.31-36
DE 2010-08-04
10:00
Tokyo Aoyama Gakuin University Concept which Dogs Acquire and Concept System which Dogs Construct(A New Interpretation of Conditional Reflexes Experiments by I.P. Pavlov) -- Life Logic and Boolean Operation Construct A Concept System --
Kimiaki Tokumaru (System Engineer) DE2010-14
It is generally supposed that logical thinking and concept system are human unique characteristics. Having read intensiv... [more] DE2010-14
pp.1-6
MVE, ITE-HI 2010-06-29
18:05
Tokyo Sanjo Conference Hall What is Virtual Reality ? -- Some thoughts on the Concept System established in human Brain and the Reversible Destiny - In memory of ARAKAWA --
Kimiaki Tokumaru (System Engineer) MVE2010-39
The difference between human and non-human animals is simply digital or analog communications. Dogs have concepts and es... [more] MVE2010-39
pp.93-98
COMP 2010-01-25
16:10
Fukuoka Nishijin Plaza, Kyushu University Size-Energy Tradeoff of Unate Circuits Computing Symmetric Functions
Kei Uchizawa (Tohoku Univ.), Eiji Takimoto (Kyushu Univ.), Takao Nishizeki (Tohoku Univ.) COMP2009-47
A unate gate is a logical gate computing a unate Boolean function.
Examples of unate gates are
AND-gates, OR-gates, NO... [more]
COMP2009-47
pp.57-64
COMP 2009-10-16
14:50
Miyagi Tohoku University Algorithm for Finding Minimum Reaction Cut of Metabolic Network
Takeyuki Tamura (Kyoto Univ.), Kazuhiro Takemoto (Univ. of Tokyo.), Tatsuya Akutsu (Kyoto Univ.) COMP2009-36
In this article, we study two problems ReactionCut and MD-ReactionCut
for calculating minimum reaction cuts of a metabo... [more]
COMP2009-36
pp.27-34
MSS 2009-08-06
15:20
Tokyo JAIST Tokyo Campus Polynomial-time Algorithm for Controllability Test of Boolean Networks
Koichi Kobayashi (JAIST), Jun-ichi Imura (Tokyo Inst. of Tech.), Kunihiko Hiraishi (JAIST) CST2009-14
This paper proposes a polynomial-time algorithm to determine if a Boolean network with control nodes and controlled node... [more] CST2009-14
pp.13-18
MSS 2009-08-07
10:20
Tokyo JAIST Tokyo Campus Analyzing Boolean Networks by Using Integer Programming
Tatsuya Akutsu, Morihiro Hayashida, Takeyuki Tamura (Kyoto Univ.) CST2009-17
The Boolean network (BN) model is known as a mathematical model of genetic networks and many studies have been done on B... [more] CST2009-17
pp.31-36
NC, NLP 2009-07-13
15:10
Nara NAIST Uncorrelated inputs driven correlations in sub-Boolean Networks
Chikoo Oosawa (Kyushu Inst. of Tech.) NLP2009-25 NC2009-18
We propose an analyzing and comparing method for 12 different sub-Boolean networks that have three nodes. By applying ra... [more] NLP2009-25 NC2009-18
pp.61-66
COMP 2009-04-17
13:30
Kyoto Kyoto Univ. Energy Complexity and Depth of Threshold Circuits
Kei Uchizawa, Takao Nishizeki (Tohoku Univ.) COMP2009-4
Suppose that a Boolean function $f$
can be computed by a threshold circuit $C$ of energy complexity $e$.
Thus, at most... [more]
COMP2009-4
pp.21-28
COMP 2008-10-10
15:15
Miyagi Tohoku Univ. Size-Energy Tradeoff for Threshold Logic Circuits Computing MOD Functions
Kei Uchizawa (Tohoku Univ.), Eiji Takimoto (Kyushu Univ.), Takao Nishizeki (Tohoku Univ.) COMP2008-42
A threshold logic circuit $C$ computing a Boolean function MOD$_m: \{ 0,1\}^n \to \{0, 1\}$ outputs ``0'' if the number ... [more] COMP2008-42
pp.63-69
NLP 2008-02-01
11:10
Hokkaido   Analysis of Random Boolean Network Dynamics Based on One-dimensional Mapping
Nobumitsu Fujiwara, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.) NLP2007-145
The dynamics of random Boolean networks which are used to model a range
of complex phenomena is studied. The states of... [more]
NLP2007-145
pp.19-24
NLP 2007-11-22
11:30
Fukuoka   Effects of embedded motifs on behavior of Boolean networks
Chikoo Oosawa (KIT), Kazuhiro Takemoto (Kyoto Univ.) NLP2007-95
We show advantages of feedforward loops using Boolean network that is one of the discrete dynamical models for the trans... [more] NLP2007-95
pp.1-6
VLD, CPSY, RECONF, DC, IPSJ-SLDM, IPSJ-ARC
(Joint) [detail]
2007-11-20
15:35
Fukuoka Kitakyushu International Conference Center A Study of Conection Block Structure and Implementation Methods of Multi-Input Functions for Variable Grain Logic Cell
Kazunori Matsuyama, Ryoichi Yamaguchi, Yoshiaki Satou, Hiroshi Miura, Masahiro Koga, Kazuki Inoue, Motoki Amagasaki, Masahiro Iida, Toshinori Sueyoshi (Kumamoto Univ.) RECONF2007-33
Since VGLC(Variable Grain Logic Cell) has a feature set both coarse-grained and fine-grained
types, its structure can ... [more]
RECONF2007-33
pp.7-12
COMP 2007-05-25
13:20
Fukuoka Kyushu University An O(1.787^n)-time Algorithm for Detecting a Singleton Attractor in a Boolean Network Consisting of AND/OR Nodes
Takeyuki Tamura, Tatsuya Akutsu (Kyoto Univ.) COMP2007-13
The Boolean network (BN) is a mathematical model of genetic networks. It is known that detecting a singleton attractor i... [more] COMP2007-13
pp.13-18
COMP 2007-03-05
09:30
Tokyo The University of Electro-Communications On a Diagnosable System with Solutions represented by Boolean Expressions
Itaru Kataoka, Tetsuo Moriya (Kokushikan Univ.)
Even if I suggest algorithm of a diagnose system expressing a diagnosis result with Boolean expression, and this algorit... [more] COMP2006-51
pp.7-12
NLP 2007-01-18
17:30
Kagawa   Statistical Analysis of Boolean Network Based on One-Dimensional Mapping
Nobumitsu Fujiwara, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.)
The dynamics of Boolean network, which is a typical model of genetic regulatory networks is studied in detail. We examin... [more] NLP2006-141
pp.85-90
NLP 2006-06-23
15:20
Tokyo Chuo Univ. Modeling and Analysis of Genetic Regulatory Networks with Coupled Maps
Nobumitsu Fujiwara, Shinji Doi, Sadatoshi Kumagai (Osaka Univ.)
A novel model using coupled maps for genetic regulatory networks is proposed.
We study the dynamics of Boolean network,... [more]
NLP2006-19
pp.47-52
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