Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICSS, IPSJ-SPT |
2024-03-22 10:10 |
Okinawa |
OIST (Primary: On-site, Secondary: Online) |
Study of keyword-based search method for IoT devices deployed at important facilities Mami Kawaguchi, Takayuki Sasaki, Kihara Momoka, Katsunari Yoshioka, Tsutomu Matsumoto (YNU) ICSS2023-86 |
IoT devices are increasingly deployed in various systems, including remote monitoring systems.Some of these IoT devices ... [more] |
ICSS2023-86 pp.123-128 |
CAS, CS |
2024-03-15 14:20 |
Okinawa |
|
Recoloring aware Countermeasure against Adversarial Examples Chisei Ishida, Ryo Kumagai, Shu Takemoto, Yusuke Nozaki, Masaya Yoshikawa (Meijo Univ.) CAS2023-134 CS2023-127 |
Adversarial Examples(AEs) which cause artificial intelligence (AI) to make a false prediction by embedded slight perturb... [more] |
CAS2023-134 CS2023-127 pp.128-133 |
LOIS |
2024-03-14 14:05 |
Okinawa |
Okinawa Pref Danjyo-Kyoudou-Sankaku Center (Primary: On-site, Secondary: Online) |
Classification Method for Blockchain Addresses Considering Address Clusterings Tomohiro Ojika, Shin Morishima (Toyama Prefectural Univ) LOIS2023-65 |
Blockchain is widely used for multiple applications because of its different features from existing finance, but due to ... [more] |
LOIS2023-65 pp.102-107 |
PRMU, IBISML, IPSJ-CVIM |
2024-03-04 11:10 |
Hiroshima |
Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Towards Client-aware Clustering Federated Learning based on Representations of Local Models Tatsuya Kaneko, Shinya Takamaeda-Yamazaki (Tokyo Univ.) IBISML2023-49 |
In the current era of rapidly expanding machine learning, there has been growing concerns and awareness of data privacy ... [more] |
IBISML2023-49 pp.65-70 |
ICTSSL, CAS |
2024-01-25 09:30 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Base stations with optimal 5% cluster head ratio of LEACH protocol in wireless sensor networks Yoshihiro Kaneko, Keitaro Hirano (Gifu Univ.) CAS2023-82 ICTSSL2023-35 |
A wireless sensor network WSN is widely used in various applications. Usually, a sensor node SN is so tiny and limited i... [more] |
CAS2023-82 ICTSSL2023-35 pp.1-4 |
DE, IPSJ-DBS |
2023-12-26 14:00 |
Tokyo |
Institute of Industrial Science, The University of Tokyo |
Interpretation of unsupervised clustering based on XAI Yu Sasaki, Fumiaki Saitoh (CIT) DE2023-28 |
Explainable Artificial Intelligence (XAI) aims to introduce transparency and interpretability into the decision-making o... [more] |
DE2023-28 pp.1-6 |
IBISML |
2023-12-21 10:30 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
Badminton Rally Analysis Using LSTM Atsushi Yoshinaga, Masato Kiyama, Motoki Amagasaki (Kumamoto Univ.) IBISML2023-35 |
In this study, we analyze badminton rallies as a tactical support technology for sports using AI. In badminton, it is re... [more] |
IBISML2023-35 pp.31-36 |
HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka |
Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Exercise video search and supplement recommendation to support increasing physical activity Yuta Ohkubo, Tomoko Kajiyama (Hiroshima City Univ.) |
In recent years, as people's physical activity levels have decreased, there are concerns that the onset and progression ... [more] |
|
SIS |
2023-12-07 11:40 |
Aichi |
Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
A Proposal of Illuminant Estimation Method Based on Dichromatic Reflection Model Employing Clustering and Color Lines Soshun Muto, Mashiho Mukaida, Noriaki Suetake (Ymaguchi Univ.) SIS2023-26 |
The color casts occur in an image affected by the illuminant. For such image, illuminant estimation method based on dich... [more] |
SIS2023-26 pp.13-18 |
CPSY, IPSJ-ARC, IPSJ-HPC |
2023-12-05 10:55 |
Okinawa |
Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Performance improvements of Multi-Platform Parallel Computing System Based on Web Technologies Soki Imaizumi, Kanemitsu Ootsu, Takashi Yokota (Utsunomiya Univ.) CPSY2023-27 |
Web browsers can be used as architecture-independent execution environments, and nowadays they can provide the same func... [more] |
CPSY2023-27 pp.1-6 |
CPSY, IPSJ-ARC, IPSJ-HPC |
2023-12-05 16:15 |
Okinawa |
Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Implementation of a mixed cluster system using Android OS and Linux OS Yusaku Terashima, Kanemitsu Ootsu, Takashi Yokota (Utsunomiya Univ.) CPSY2023-30 |
In recent years, mobile devices such as smartphones and tablets have become significantly more powerful. We are developi... [more] |
CPSY2023-30 pp.19-24 |
NLP |
2023-11-28 10:00 |
Okinawa |
Nago city commerce and industry association |
Application of associative memories to S-P chart Kazuma Kiyohara, Toshimichi Saito (HU) NLP2023-59 |
This paper studies clustering methods for binary data based on nonlinear dynamics in associative memories (AM).
The... [more] |
NLP2023-59 pp.1-6 |
MSS, CAS, IPSJ-AL [detail] |
2023-11-17 14:25 |
Okinawa |
|
Graph-based Feature Extraction and Clustering for NFT Transaction Data Keitaro Nakai (Univ. Ryukyus), Hideki Kinjo (Okinawa Univ.), Morikazu Nakamura (Univ. Ryukyus) CAS2023-79 MSS2023-49 |
In this paper, we present the construction of transaction graphs for individual assets based on NFT transaction historic... [more] |
CAS2023-79 MSS2023-49 pp.101-106 |
RCS |
2023-10-20 15:15 |
Kagawa |
Kagawa University (Saiwai-cho Campus), and online (Primary: On-site, Secondary: Online) |
Application of Joint Transmit-Receive Diversity to A Cellular Distributed MU-MIMO System Ryo Takahashi (PSNRD), Hidenori Matsuo (Panasonic Holdings), Fumiyuki Adachi (Tohoku Univ.) RCS2023-148 |
Cellular distributed multiuser MIMO (MU-MIMO) is a cellular system in which a wide communication service area is divided... [more] |
RCS2023-148 pp.90-95 |
RCS |
2023-10-20 15:40 |
Kagawa |
Kagawa University (Saiwai-cho Campus), and online (Primary: On-site, Secondary: Online) |
Investigations on Low-Complexity User-Specific TRP Selection Method in Downlink Distributed MIMO with Channel Estimation Errors Hiroki Kato, Takanori Hara, Kenichi Higuchi (TUS) RCS2023-149 |
In this paper, we propose a computationally-efficient method for user equipment (UE)-specific transmission reception poi... [more] |
RCS2023-149 pp.96-101 |
MIKA (3rd) |
2023-10-10 15:35 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Channel Map Clustering for UAV Base Station Placement Method in Cell-Free Massive MIMO Networks Ryota Nosaka, Takahiro Matsuda (Tokyo Metropolitan Univ.) |
Although a cell-free massive MIMO network can provide users with uniformly good quality of services regardless of their ... [more] |
|
MIKA (3rd) |
2023-10-10 15:35 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Anomaly Detection using HDBSCAN and Deep SVDD Yusuke Noji, Tomotaka Kimura, Jun Cheng (Doshisha Univ.) |
In this presentation, we examine an anomaly detection method using Deep SVDD (Support Vector Data Description), a type o... [more] |
|
NLP, CAS |
2023-10-06 15:40 |
Gifu |
Work plaza Gifu |
A clustering system of binary data based on reccurent neural network Kazuma Kiyohara, Toshimichi Saito (HU) CAS2023-44 NLP2023-43 |
This paper studies clustering methods for binary data based on nonlinear dynamics in associative memories (AM).
The... [more] |
CAS2023-44 NLP2023-43 pp.62-65 |
NLP, CAS |
2023-10-07 09:20 |
Gifu |
Work plaza Gifu |
The optimal cluster ratio based on base station of LEACH in wireless sensor networks Keitaro Hirano, Yoshihiro Kaneko (Gifu Univ.) CAS2023-47 NLP2023-46 |
A wireless sensor network WSN is widely used in various applications. Usually, a sensor node SN is so tiny and limited ... [more] |
CAS2023-47 NLP2023-46 pp.74-77 |
NS |
2023-10-04 15:20 |
Hokkaido |
Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
Bayesian optimization with online clustering Yuto Sando (Osaka Univ.), Tatsuaki Kimura (Doshisha Univ.), Takuto Kimura (NTT QONOQ), Tetsuya Takine (Osaka Univ.) NS2023-76 |
Bayesian optimization is a method that sequentially explores optimal values for an unknown continuous reward function an... [more] |
NS2023-76 p.30 |