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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 78 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS, SR, NS, SeMI, RCC
(Joint)
2021-07-14
10:55
Online Online Relaxation of Network Restriction for Deep Learning Based Consensus Problem with Eigenvector Centrality
Shoya Ogawa, Koji Ishii (Kagawa Univ.) RCC2021-23
he convergence performance of consensus problems depends on the applied weighting factors into individual edges. Unfortu... [more] RCC2021-23
pp.7-12
RCS, SR, NS, SeMI, RCC
(Joint)
2021-07-14
16:35
Online Online [Invited Talk] Optimal Control of Multi-Agent Systems: Surveillance Problem and Vehicle Platooning
Koichi Kobayashi (Hokkaido Univ.) RCC2021-29 NS2021-39 RCS2021-84 SR2021-27 SeMI2021-15
In this talk, our results on control of multi-agent systems are introduced. First, the surveillance problem is introduce... [more] RCC2021-29 NS2021-39 RCS2021-84 SR2021-27 SeMI2021-15
p.36(RCC), p.38(NS), p.38(RCS), p.41(SR), p.20(SeMI)
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2021-06-28
13:50
Online Online Simplification of Average Consensus Algorithm in Distributed HALS Algorithm for NMF
Keiju Hayashi, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NC2021-3 IBISML2021-3
Nonnegative Matrix Factorization (NMF) is the process of approximating a given nonnegative matrix by the product of two ... [more] NC2021-3 IBISML2021-3
pp.15-22
NLP, MSS
(Joint)
2021-03-16
09:40
Online Online Pinning consensus control of a group of quadrotors modeled by a directed acyclic graph
Akinori Sakaguchi, Toshimitsu Ushio (Osaka Univ.) MSS2020-50
In this study, we consider a pinning consensus control problem with a given altitude for a group of heterogeneous quadro... [more] MSS2020-50
pp.33-36
ITS, WBS, RCC 2020-12-14
09:55
Online Online Backoff Control for CSMA/CA based on the Number of Neighbor Agents
Tomoya Nishino, Koji Ishii (Kagawa Univ.) WBS2020-9 ITS2020-5 RCC2020-12
For realizing an efficient consensus problem where individual agents are controlled in a distributed manner, we need to ... [more] WBS2020-9 ITS2020-5 RCC2020-12
pp.7-12
ITS, WBS, RCC 2020-12-14
10:45
Online Online A Study on Relaxation of Network Restriction in Deep-Unfolding aided Consensus
Shoya Ogawa, Ishii Koji (Kagawa Univ.) WBS2020-11 ITS2020-7 RCC2020-14
In the consensus problem with a complex network, the convergence performance deeply depends on the given parameters, i.e... [more] WBS2020-11 ITS2020-7 RCC2020-14
pp.19-24
AI 2020-12-10
15:50
Shizuoka Online and HAMAMATSU ACT CITY
(Primary: On-site, Secondary: Online)
What Affect Motivation to Participate in Online Mini-publics with Artificial Intelligence Technologies ? -- Focusing on Social Attributes and Attitudes towards Politics and Information Technology --
Tomoyuki Tatsumi, Takashi Nakazawa, Naoki Fukuta (Shizuoka Univ.) AI2020-6
This paper examined how willingness to participate in deliberative polls was related with the use of ICT, societal attri... [more] AI2020-6
pp.28-33
MSS, CAS, IPSJ-AL [detail] 2020-11-25
17:00
Online Online Distributed Algorithms based on Multiplicative Update Rules for Nonnegative Matrix Factorization
Yohei Domen, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) CAS2020-24 MSS2020-16
Nonnegative matrix factorization (NMF) is a multivariate method that approximates a given nonnegative matrix by the prod... [more] CAS2020-24 MSS2020-16
pp.28-33
NLP 2020-05-15
13:25
Online Online Design of a Distributed Algorithm for Principal Component Analysis based on Power Method and Average Consensus
Mutsuki Oura, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2020-4
Principal component analysis is one of the most important methods of multivariate analysis, and has been applied in a wi... [more] NLP2020-4
pp.17-22
MSS, NLP
(Joint)
2020-03-09
10:15
Aichi  
(Cancelled but technical report was issued)
A projected consensus-based algorithm for minimizing the maximum error of a system of linear equations with nonnegativity constraints
Kosuke Kawashima, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2019-116
If a system of linear equations with nonnegativity constraints has a solution then it can be considered as a constrained... [more] NLP2019-116
pp.19-23
BioX, CNR 2020-03-05
10:30
Tokyo
(Cancelled but technical report was issued)
Construction of a conversation order consensus building corpus on interruption in HRI
Takumi Horie, Rumi Yamaguchi, Tae Kuwahara, Takuto Watanabe, Kazunori Takashio (Keio Univ.) BioX2019-69 CNR2019-52
(To be available after the conference date) [more] BioX2019-69 CNR2019-52
pp.41-46
AI 2020-02-14
15:30
Shimane Izumo Campus, Shimane University Elucidation of factors supporting co-creative consensus building and proposal of the communication environment
Sae Kondo (UT), Taichi Miyamae, Masaaki Kuzuya, Karen Sasagawa, Hiroyuki Sekikawa (Itoki), Takashi Numata (Hitachi), Kotaro Onishi, Hiroko Ohno (HF), Masako Maeda, Takuo Inoue, Chikako Goto, Hideki Koizumi (UT) AI2019-42
In recent years, new services and systems are being created every day due to IoT and AI development. There is a big expe... [more] AI2019-42
pp.1-6
SIS 2019-12-12
15:45
Okayama Okayama University of Science [Invited Talk] Consensus-Based Distributed Algorithms and Applications to Machine Learning
Norikazu Takahashi (Okayama Univ.) SIS2019-29
Recently, consensus-based distributed optimization methods for multi-agent systems have been vigorously studied in the f... [more] SIS2019-29
p.35
SeMI, RCS, NS, SR, RCC
(Joint)
2019-07-11
10:40
Osaka I-Site Nanba(Osaka) [Poster Presentation] Backoff Control for Consensus Problem based on CSMA/CA
Tomoya Nishino, Koji Ishii (Kagawa Univ.) RCC2019-23 NS2019-59 RCS2019-116 SR2019-35 SeMI2019-32
This paper provides an adaptive backoff period setting for CSMA/CA based consensus problem. The consensus we focused in ... [more] RCC2019-23 NS2019-59 RCS2019-116 SR2019-35 SeMI2019-32
pp.61-66(RCC), pp.87-92(NS), pp.83-88(RCS), pp.93-98(SR), pp.75-80(SeMI)
AI 2019-02-23
15:30
Tokyo   Data Selecting Method for Consensus Building among Stakeholders with Extended Goal Graph
Noriyuki Kushiro, Masafumi Ifuku, Yusuke Aoyama (KIT) AI2018-52
In this paper, we propose Extended Goal Graph as a method for requirements definition method for systems including stake... [more] AI2018-52
pp.81-86
KBSE 2019-01-26
14:55
Tokyo NII A subject of experiment for studying amount of context information in daily communication
Yuta Aoyama, Yuto Onuma, Yutaka Matsuno (Hihon Univ.) KBSE2018-49
(To be available after the conference date) [more] KBSE2018-49
pp.37-41
WBS, ITS, RCC 2018-12-06
13:00
Okinawa Miyako Island Hirara Port Terminal Bldg. [Poster Presentation] Multi-hop Transmission Aided Consensus Problem Using the Farthest State Information as Side-Information
Tomoya Nishino, Koji Ishii (Kagawa Univ.) WBS2018-49 ITS2018-32 RCC2018-80
Wireless communication constraints significantly degrades the quality-of-control in a consensus control. To mitigate the... [more] WBS2018-49 ITS2018-32 RCC2018-80
pp.121-124
NLP 2018-08-09
09:55
Kagawa Saiwai-cho Campus, Kagawa Univ. A Convergence Condition for the Projected Consensus Algorithm on a Network with a Fixed Topology
Kosuke Kawashima, Norikazu Takahashi (Okayama Univ.) NLP2018-65
This report studies the problem of making the states of all agents in a network converge to the same point in the inters... [more] NLP2018-65
pp.63-68
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2018-07-30
17:00
Kumamoto Kumamoto City International Center An Efficient Implementation Method and Development of Demonstration Environment for Byzantine Fault Tolerant Systems
Masashi Imai, Takeru Nanao, Yudai Ishikawa, Koutaro Inaba (Hirosaki Univ.) DC2018-15
Threats for mission critical systems increase every year. Traditionally, the target fault model of fault–tolerant system... [more] DC2018-15
pp.13-18
CAS, SIP, MSS, VLD 2018-06-14
10:00
Hokkaido Hokkaido Univ. (Frontier Research in Applied Sciences Build.) Self-Triggered Predictive Pinning Control for Consensus of Multi-Agent Systems
Shun Andoh, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2018-4 VLD2018-7 SIP2018-24 MSS2018-4
Pinning control of multi-agent systems is a method that the external control input is added to some agents (pinning node... [more] CAS2018-4 VLD2018-7 SIP2018-24 MSS2018-4
pp.17-21
 Results 21 - 40 of 78 [Previous]  /  [Next]  
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