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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 185  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
QIT
(2nd)
2024-05-28
13:00
Ibaraki AIST Tsukuba [Poster Presentation] Analysis of interaction networks of qubits and quantum feature maps in a quantum machine learning model
Aoi Hayashi (SOKENDAI/OIST/NII), Akitada Sakurai, William J. Munro (OIST), Kae Nemoto (OIST/NII)
In this presentation, we introduce our investigations about the relation between learning performance of a quantum machi... [more]
CAS, CS 2024-03-14
16:20
Okinawa   An Approximate Solution Using K-Shortest Path and Reinforcement Learning for a Load Balancing Problem in Communication Networks
Himeno Takahashi, Norihiko Shinomiya (Soka Univ.) CAS2023-123 CS2023-116
In recent years, the amount of data traffic in information and communication networks has been increasing and the risk o... [more] CAS2023-123 CS2023-116
pp.70-73
NLP, MSS 2024-03-14
11:15
Misc. Kikai-Shinko-Kaikan Bldg. Parallelization of a Search Algorithm for Regular Graphs with Minimum Average Shortest Path Length
Taku Hirayama, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) MSS2023-89 NLP2023-141
Computer networks in data centers are modeled as regular graphs, and the average shortest path length (ASPL) of such a g... [more] MSS2023-89 NLP2023-141
pp.87-92
SIP, SP, EA, IPSJ-SLP [detail] 2024-02-29
16:20
Okinawa
(Primary: On-site, Secondary: Online)
EA2023-77 SIP2023-124 SP2023-59 In this paper, we consider a dynamic sensor placement problem where sensors can move within a network over time. Sensor ... [more] EA2023-77 SIP2023-124 SP2023-59
pp.97-102
ICTSSL, CAS 2024-01-26
16:35
Kanagawa
(Primary: On-site, Secondary: Online)
An approximate solution using Cutting Plane Method for a communication link load balancing problem
Taizo Takeuchi, Himeno Takahashi, Norihiko Shinomiya (Soka Univ) CAS2023-110 ICTSSL2023-63
Addressing Congestion Risks Arising from Increased Data Traffic in Information and Communication Networks. In previous r... [more] CAS2023-110 ICTSSL2023-63
pp.127-130
IN, IA
(Joint)
2023-12-21
12:30
Hiroshima Satellite Campus Hiroshima [Short Paper] A Study on the Importance of Spectral Representation of Subgraphs with Different Sampling Strategies
Koki Kato, Ryo Nakamura (Fukuoka Univ.) IA2023-43
Spectral graph theory has been actively studied to analyze topological property of networks using eigenvalues and eigenv... [more] IA2023-43
pp.1-4
MSS, CAS, IPSJ-AL [detail] 2023-11-17
09:45
Okinawa   Analyzing the impact of shrink rates on equity in peer-to-peer energy transactions
Eiichi Kusatake, Norihiko Shinomiya (Soka Univ.) CAS2023-74 MSS2023-44
In recent times, numerous nations have been actively endorsing distributed energy systems to promote the use of clean en... [more] CAS2023-74 MSS2023-44
pp.75-79
NLP, CAS 2023-10-07
13:40
Gifu Work plaza Gifu Expantion of Graph Fourier Transform Based on Degree of Freedom at Circuit Ports
Ayumu Suzuki, Takashi Hisakado, Mahfuzul Islam (Kyoto Univ.) CAS2023-56 NLP2023-55
In this paper, we define the boundary condition of graph.
Recently, graph signal processing is attracting attention.
H... [more]
CAS2023-56 NLP2023-55
pp.117-120
CQ 2023-07-12
14:00
Hokkaido
(Primary: On-site, Secondary: Online)
Study on the Effectiveness of Matrix Approximation without Rank Constraint
Eriko Segawa, Yusuke Sakumto (Kwansei Gakuin Univ.) CQ2023-10
The proper selection of graph spectrum is crucial for constructing efficient graph algorithms. We have discussed a matri... [more] CQ2023-10
pp.12-17
CQ 2023-07-12
14:25
Hokkaido
(Primary: On-site, Secondary: Online)
Statistical Evaluation of WSD-based Network Metrics for Brain Connectome Analysis
Mikihiro Yasuda, Taiki Sasagawa, Yusuke Sakumoto (Kwansei Gakuin Univ.) CQ2023-11
We have proposed network metrics based on the weighted spectral distribution (WSD) to analyze the connectome observed at... [more] CQ2023-11
pp.18-23
MSS, CAS, SIP, VLD 2023-07-07
11:20
Hokkaido
(Primary: On-site, Secondary: Online)
Enhancing Glycan Recognition Pattern Learning with Tree-Structured Data Mining
Kento Totsuka, Norihiko Shinomiya, Kiyoko Kinoshita, Masae Hosoda (Soka Univ.) CAS2023-20 VLD2023-20 SIP2023-36 MSS2023-20
In recent times, the rapid proliferation of semi-structured data has been primarily fueled by the emergence of the World... [more] CAS2023-20 VLD2023-20 SIP2023-36 MSS2023-20
pp.97-101
IA, ICSS 2023-06-21
09:55
Saga Saga Univ.
(Primary: On-site, Secondary: Online)
A Proposal for Access Control Method based on File Relation Inference from Users Behavior
Yuki Kodaka (SOKENDAI), Hirokazu Hasegawa, Hiroki Takakura (NII) IA2023-8 ICSS2023-8
File access control is an effective method for protecting information from unauthorized access both within and outside a... [more] IA2023-8 ICSS2023-8
pp.40-47
TL 2023-06-10
13:30
Online
(Primary: Online, Secondary: On-site)
Two Cognitive Processes - Quantitive and Relational Meanings and Modes of Thought
Hiroshi Sano (TUFS) TL2023-5
In the previous article (TL2022-40), the author focused on the two cognitive processes of recognizing things and explain... [more] TL2023-5
pp.17-22
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-15
11:00
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Evaluating the Efficiency of Anomaly Detection Methods for Temporal Networks Using the Graph Spectrum
Masataka Nagao, Eriko Segawa, Yusuke Sakumoto (Kwansei Gakuin Univ.) CQ2022-83
LAD (Laplacian Anomaly Detection) is a method for detecting anomalies in dynamic networks using the eigenvalues (the gra... [more] CQ2022-83
pp.19-24
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-15
11:25
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
Study on the Importance of Each Eigenvalue and Eigenvector for Laplacian Matrix Using Matrix Approximation
Eriko Segawa, Yusuke Sakumoto (Kwansei Gakuin Univ.) CQ2022-84
It is important for developing sophisticated graph algorithms to understand deeply the characteristics of the typical ma... [more] CQ2022-84
pp.25-30
AI, JSAI-KBS, JSAI-SAI, JSAI-DOCMAS, IPSJ-ICS
(Joint)
2023-03-11
15:00
Hokkaido
(Primary: On-site, Secondary: Online)
On the Acceptance of Arguments in Dynamic Argumentation Frameworks
Kazuko Takahashi, Ami Kimura, Tomohiro Ueno (Kwansei Gakuin Univ.) AI2022-48
This paper presents a method that detects the argument to which an agent should give a counter-argument when an argument... [more] AI2022-48
pp.1-6
CAS, CS 2023-03-01
09:30
Fukuoka Kitakyushu International Conference Center
(Primary: On-site, Secondary: Online)
Modification and Comparison of Learning Sudoku with Convolutional Networks
Koichiro Ishii, Hiroshi Tamura (Chuo Univ.) CAS2022-96 CS2022-73
Sudoku is a logic puzzle in which the number between 1 and 9 is to fill in the boxes of the 9x9 grid by using the number... [more] CAS2022-96 CS2022-73
pp.1-5
NS, NWS
(Joint)
2023-01-26
10:55
Yamaguchi Hybrid Meeting (Yamaguchi Prefecture)
(Primary: On-site, Secondary: Online)
Autonomous Decentralized Spectral Clustering for Hierarchical Routing in Dynamic Multi-hop Wireless Networks
Naoki Matsuhashi (Tokyo Metropolitan Univ.), Chisa Takano (Hiroshima City Univ.), Masaki Aida (Tokyo Metropolitan Univ.) NS2022-151
Multi-hop wireless networks are decentralized in that they do not depend on the existing communication infrastructure an... [more] NS2022-151
pp.7-12
CQ, CBE
(Joint)
2023-01-27
10:15
Ibaraki Epochal Tsukuba International Congress Center
(Primary: On-site, Secondary: Online)
An approximate solution using K-shortest paths for a communication link load balancing problem
Himeno Takahashi, Daichi Shimizu, Norihiko Shinomiya (Soka Univ) CQ2022-72
In recent years, the amount of data traffic in information and communication networks has been increasing and the risk o... [more] CQ2022-72
pp.65-68
IN, IA
(Joint)
2022-12-13
10:15
Hiroshima Higashi-Senda campus, Hiroshima Univ.
(Primary: On-site, Secondary: Online)
[Short Paper] Investigation of a Matrix Approximation Method for Analyzing the Information Amount Contained in the Specified Eigenvalues and Eigenvectors
Eriko Segawa, Yusuke Sakumoto (Kwansei Gakuin Univ) IA2022-56
In general, the large eigenvalues and their eigenvectors of a matrix representing the network structure are important to... [more] IA2022-56
pp.47-49
 Results 1 - 20 of 185  /  [Next]  
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