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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS, IN (Joint) |
2024-03-01 09:20 |
Okinawa | Okinawa Convention Center | Power Consumption Optimization Method Adaptable to Network Bandwidth Fluctuation for Distributed Video Analysis System based on Gene Regulatory Network Seishiro Inoue, Masaaki Yamauchi, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata (Osaka Univ.)  IN2023-94 |
To construct a digital twin, we have to analyze a large amount of video data in real-time to recognize real-world situat... [more] | IN2023-94 pp.171-176 |
| NS, IN, CS, NV (Joint) |
2023-09-08 14:20 |
Miyagi | Tohoku University (Primary: On-site, Secondary: Online) |
Power Consumption Optimization Method for Distributed Video Analysis System by Artificial Gene Regulatory Networks Seishiro Inoue, Masaaki Yamauchi, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata (Osaka Univ.) NS2023-64 |
A digital twin highly integrates real and virtual worlds. To construct it, we must accurately perceive the current stat... [more] |
NS2023-64 pp.71-76 |
| MSS, CAS, SIP, VLD | 2023-07-07 09:50 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Finite-Time Control of Boolean Networks Considering Specifications on Control Inputs Fuma Motoyama, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2023-16 VLD2023-16 SIP2023-32 MSS2023-16 |
A Boolean network (BN) is widely used as a mathematical model for control of gene regulatory networks. In this paper, a ... [more] | CAS2023-16 VLD2023-16 SIP2023-32 MSS2023-16 pp.78-83 |
| MSS, CAS, IPSJ-AL [detail] | 2020-11-25 17:25 |
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 |
| MSS, NLP (Joint) |
2020-03-10 09:55 |
Aichi | (Cancelled but technical report was issued) |
A method foe estimating gene regulatory networks based on multiple source of information about regulatory relationships Haga Cham, Yutaka Shimada, Takaomi Shigehara (Saitama Univ.) NLP2019-124 |
Gene regulatory networks play an important role in the expression and activities of genes, where specific proteins and g... [more] | NLP2019-124 pp.65-70 |
| NLP, MSS (Joint) |
2019-03-15 09:25 |
Fukui | Bunkyo Camp., Univ. of Fukui | MSS2018-93 |
Research on network motifs has recently focused on the relationship between form and function, in the context of Boolean... [more] | MSS2018-93 pp.65-68 |
| NLP | 2014-05-26 14:50 |
Shimane | Big Heart IZUMO | Inferring method of the Gene Regulatory Networks using RBF Networks Adopting a Majority Rule Naoyuki Kizaki, Hiroaki Kurokawa (Tokyo Univ. of Tech.) NLP2014-3 |
The gene regulatory network(GRN) is the in biological system that describes the interaction of the gene expressions. A l... [more] | NLP2014-3 pp.13-18 |
| NLP | 2012-03-28 09:45 |
Nagasaki | Fukue Cultural Hall | Evaluation of the gene regulatory network inference method by the neural network using DNA microarray data Yasuki Hirai, Naoyuki Kizaki, Soichiro Ikuno, Hiroaki Kurokawa (Tokyo Univ of Tech) NLP2011-152 |
The gene regulatory networks show a correlation among gene expression. A lot of method to describe gene regulatory netw... [more] |
NLP2011-152 pp.63-68 |
| NLP | 2009-12-21 13:25 |
Iwate | Improving the inference method of gene regulatory networks using neural networks Yasuki Hirai, Hiroaki Kurokawa (Tokyo Univ. of Tech.) NLP2009-131 |
The regulatory interaction between gene expressions is considered as a universal mechanism in biological systems and suc... [more] | NLP2009-131 pp.27-32 |
|
| 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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