Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NS, IN (Joint) |
2024-03-01 11:35 |
Okinawa |
Okinawa Convention Center |
Application of a Deep Reinforcement Learning Algorithm to Virtual Machine Migration Control in Multi-Stage Information Processing Systems Yuki Kojitani (Okayama Univ.), Kazutoshi Nakane (Nagoya Univ.), Yuya Tarutani (Okayama Univ.), Celimuge Wu (UEC), Yusheng Ji (NII), Tokumi Yokohira (Okayama Univ.), Tutomu Murase (Nagoya Univ.), Yukinobu Fukushima (Okayama Univ.) IN2023-87 |
This paper tackles a virtual machine (VM) migration control problem to maximize the progress (accuracy) of information p... [more] |
IN2023-87 pp.130-135 |
ITS, IE, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2024-02-19 11:00 |
Hokkaido |
Hokkaido Univ. |
Improving Adversarial Robustness in Continual Learning Koki Mukai, Soichiro Kumano (UTokyo), Nicolas Michel (UGE/CNRS/LIGM), Ling Xiao, Toshihiko Yamasaki (UTokyo) ITS2023-48 IE2023-37 |
The goal of continual learning is to prevent catastrophic forgetting. However, few studies have simultaneously considere... [more] |
ITS2023-48 IE2023-37 pp.13-18 |
AP |
2024-02-16 15:00 |
Mie |
Sinfonia Technology Hibiki Hall Ise (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Propagation loss prediction method by machine learning and ray-tracing for indoor environments Takayuki Nakanishi, Kenya Shimizu (MELCO), Kenzaburo Hitomi (MEE), Yasuhiro Nishioka, Yoshio Inasawa (MELCO) AP2023-197 |
Radio propagation estimation is important for improving the stability and reliability of wireless communications. Howeve... [more] |
AP2023-197 pp.50-55 |
UWT (2nd) |
2024-01-29 16:40 |
Tokyo |
Tokai University Shinagawa Campus (Primary: On-site, Secondary: Online) |
Estimation of the modulation method ratio for time-domain hybrid PAM signals using machine learning Ayumu Kariya, Fumiya Kobori, Keita Tanaka, Takahiro Kodama (Kagawa Univ.) |
We propose a transmission capacity estimation method for time-domain hybrid PAM schemes with variable transmission capac... [more] |
|
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM |
2024-01-25 10:03 |
Kanagawa |
Keio Univ. (Hiyoshi Campus) |
Estimation of 3D Coordinates of Fingertips using Contrastive Embeddings from Hand Images Tatsuya Abe, Takeshi Umezawa, Noritaka Osawa (Chiba Univ.) PRMU2023-40 |
This study evaluated a method for estimating the 3D coordinates of fingertips from hand images when manipulating objects... [more] |
PRMU2023-40 pp.7-12 |
PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM |
2024-01-25 14:40 |
Kanagawa |
Keio Univ. (Hiyoshi Campus) |
Efficient exploration with intrinsic motivation considering state transitions in deep reinforcement learning Kaito Ohshika, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2023-42 |
In deep reinforcement learning, learning data is collected through the interaction between the agent and the environment... [more] |
PRMU2023-42 pp.14-19 |
ICTSSL, CAS |
2024-01-25 10:20 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Using Deep Learning to Recognize and Determine the State of Snow on LED Traffic Signals Regardless of the Outside Environment and Its Application Megumi Matsuzaka, Tsubasa Saito, Yuichi Sato (Akita Univ.) CAS2023-84 ICTSSL2023-37 |
Currently, the use of LEDs in traffic signals is being promoted for various advantages. However, due to the characterist... [more] |
CAS2023-84 ICTSSL2023-37 pp.11-16 |
NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-25 09:00 |
Tokushima |
Naruto University of Education |
The Relationship Between Metrics in the Latent Variable Space and Image Classification Performance Haruki Wakasa, Kenya Jin'no (Tokyo City Univ.) NLP2023-99 MICT2023-54 MBE2023-45 |
In recent years, models based on convolutional neural networks (CNNs) have exhibited high performance in image classific... [more] |
NLP2023-99 MICT2023-54 MBE2023-45 pp.78-81 |
ET |
2024-01-20 13:35 |
Kyoto |
Kyoto University Yoshida Campus / Online (Primary: On-site, Secondary: Online) |
Evaluation of the Impact on Mentors in a Mentalization Support System for Generating Questions to Mentee Kaisei Ominami, Shota Tatarai, Kohei Okuoka (Nihon Univ.), Kosuke Sasaki, Masakazu Moriguchi, Hisashi Noda (NECSI), Takashi Omori, Masahiko Osawa (Nihon Univ.) ET2023-46 |
To reduce the burden on educators in inquiry-based learning, we realize a support system to deepen the mentee’s question... [more] |
ET2023-46 pp.5-9 |
ET |
2024-01-20 15:55 |
Kyoto |
Kyoto University Yoshida Campus / Online (Primary: On-site, Secondary: Online) |
Difficulty-Controllable Question Generation of Reading Comprehension incorporating Answerability Evaluation Mechanism Ayaka Suzuki, Masaki Uto (UEC) ET2023-51 |
Question generation (QG) for reading comprehension is a technology for automatically generating questions related to giv... [more] |
ET2023-51 pp.38-44 |
EMCJ |
2024-01-19 11:10 |
Kumamoto |
|
Estimation of the number of people transported by ambulance for different illness in Nagoya City Haruto Ueta, Kota Ogawa, Sachiko Kodera, Akimasa Hirata (Nitech) EMCJ2023-91 |
In Japan, there has been a rapid progression of aging, giving rise to various anticipated challenges. A high proportion ... [more] |
EMCJ2023-91 pp.21-26 |
AP, WPT (Joint) |
2024-01-17 15:25 |
Niigata |
Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
A Method for Estimating Ray-Tracing Parameters Using Machine Learning
-- A Study in Indoor Environment Using Point Cloud Data -- Satoshi Iwasaki, Kento Sugiyama, Yukiko Kishiki (KKE) AP2023-164 |
Radio propagation analysis using the ray tracing method is used in various situations because various radio propagation ... [more] |
AP2023-164 pp.24-29 |
AP, WPT (Joint) |
2024-01-19 15:25 |
Niigata |
Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Radio Propagation Modeling Using CNN with Rectangular Map Data Tatsuya Nagao, Takahiro Hayashi (KDDI Research, Inc.) AP2023-184 |
Recently, machine learning-based methods using environmental information as features have been proposed to model site-sp... [more] |
AP2023-184 pp.126-130 |
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 |
EA, US (Joint) |
2023-12-23 10:05 |
Fukuoka |
|
Inspection of Fat Content in Frozen Albacore Using Multi-Channel A-Mode Ultrasound Suguru Yasutomi, Akira Sakai (Fujitsu), Masafumi Yagi (Tokai Univ.), Kanata Suzuki (Fujitsu), Hiroki Kashikura, Shuichiro Abe, Kaito Nakamura, Yuya Arai, Yuki Tajima, Keiichi Goto (Tokai Univ.) US2023-68 |
Albacore is a commercially important fish in Japan. Traditionally, experts determine its value by cutting and ob- servin... [more] |
US2023-68 pp.68-73 |
ITS, WBS, RCC |
2023-12-21 10:15 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Platoon control to satisy string stability by local model Ryota Nakai, Kazumune Hashimoto, Shigemasa Takai (Osaka Uni) WBS2023-33 ITS2023-16 RCC2023-27 |
This research focuses on platoon control through the introduction of a sophisticated controller incorporating Long Short... [more] |
WBS2023-33 ITS2023-16 RCC2023-27 pp.31-36 |
IBISML |
2023-12-20 15:20 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
Stabilization and Acceleration of Stochastic Gradient Descent Based on Eigenvalue Decomposition of the Fisher Information Matrix Masazumi Iida, Yoshinari Takeishi (Kyushu Univ.), Siyang Wang (Umea Univ.), Jun'ichi Takeuchi (Kyushu Univ.) IBISML2023-32 |
By using approximated eigen-decomposition of the Fisher information matrix, the Stabilizer method was recently developed... [more] |
IBISML2023-32 pp.13-17 |
ET |
2023-12-16 14:20 |
Okayama |
Tsushima Campus,Okayama University |
Design and Development of AR Based Learning Materials for the ``Digitization of Information'' Unit Riho Sakaguchi, Mizue Kayama, Nobuyuki Tachi (Shinshu Univ.), Takashi Nagai (IoT) ET2023-41 |
In this study, we propose an Augmented Reality (AR) teaching material for the ''Digitalization of Information'' unit. We... [more] |
ET2023-41 pp.28-33 |
NS, RCS (Joint) |
2023-12-14 16:50 |
Fukuoka |
Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
Dueling Networks Architecture in the Deep Reinforcement Learning for the Automated ICT System Design Tianchen Zhou (Sophia Univ.), Yutaka Yakuwa (NEC), Natsuki Okamura, Hiroyuki Hochigai (Sophia Univ.), Takayuki Kuroda (NEC), Ikuko E. Yairi (Sophia Univ.) NS2023-135 |
This paper presents a reinforcement learning based approach for the design of ICT systems. The automated ICT system desi... [more] |
NS2023-135 pp.54-59 |
HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka |
Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Compact Emotional Space Simulating Human Percieve of Emotion Based on Crossmodal Contrastive Learning with Softlabel Seiichi Harata, Takuto Sakuma, Shohei Kato (NITech) |
This study aims to explore data-driven emotion modeling by extracting the latent space of emotions from human emotion ex... [more] |
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