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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS | 2024-06-20 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
[more] | ||
| SR | 2024-05-21 10:15 |
Kagoshima | Yokacenter (Kagoshima) (Primary: On-site, Secondary: Online) |
[Short Paper]
An Implementation of Radio Propagation Graph Representation Learning in Multi-hop Path Situations Shimon Takagi, Katsuya Suto (UEC) |
(To be available after the conference date) [more] | |
| ET | 2024-05-11 10:00 |
Online | Online | Is Learner Support the same as Learning Support? Toyohide Watanabe (NISRI) |
(To be available after the conference date) [more] | |
| DC, CPSY, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2024-03-23 11:45 |
Nagasaki | Ikinoshima Hall (Primary: On-site, Secondary: Online) |
Evaluating composition of quantum circuit and learnability in quantum neural network with NISQ devices Naoki Marumo (Waseda Univ.), Yasutaka Wada (Meisei Univ.), Kazunori Ueda, Keiji Kimura (Waseda Univ.)  CPSY2023-52 DC2023-118 |
The more numbers of repeat of Ansatz and the more qubit entangling improve learnability of quantum machine learning by v... [more] | CPSY2023-52 DC2023-118 pp.82-87 |
| EMCJ, MICT (Joint) |
2024-03-15 10:55 |
Shimane | Analysis of BPSD onset time to improve BPSD prediction performance with environmental and vital sensor data Tatsunoshin Shinmi (The Univ. of Electro-Communications), Naoya Tokiwa (RAKUS Partners), Junichi Shibata, Toshikazu Suzuki (iD), Takehiko Kashiwagi (The Univ. of Electro-Communications), Tatsuya Moe (RAKUS Partners), Kaito Kamura, Hyuta Onuma, Shunichi Tano, Yasuhiro Minami (The Univ. of Electro-Communications) MICT2023-79 |
Behavioral and psychological symptoms of dementia (BPSD) that develop in patients with dementia not only impose a heavy ... [more] | MICT2023-79 pp.12-16 |
|
| NC, MBE (Joint) |
2024-03-12 13:55 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Identification of filamentous fungi by segmentation models using consistency regularization and classmix Taiga Shimizu (Yamanashi Univ.), Waleed Asghar (Oklahoma State Univ.), Ryota Kataoka, Motonobu Hattori (Yamanashi Univ.) NC2023-57 |
In agriculture, soil diagnosis is necessary to protect the environment. However, since current diagnostic methods are no... [more] | NC2023-57 pp.81-86 |
| SeMI, IPSJ-UBI, IPSJ-MBL | 2024-02-29 15:50 |
Fukuoka | Development and Evaluation of the Water Flow Prediction Model for Remote Control of Sluice Gates in the Onga River Takahiro Ueno (Fukuoka Univ.), Koki Ozono (AJP), Masayoshi Ohashi (Fukuoka Univ.) SeMI2023-77 |
Our laboratory is engaged in the research and development of a system for the remote control and monitoring of sluice ga... [more] | SeMI2023-77 pp.37-41 |
|
| NS, IN (Joint) |
2024-02-29 10:10 |
Okinawa | Okinawa Convention Center | Analysis of Wireless Link for Mobile Communication Devices Using a Machine Learning Model Yuki Kanto, Kohei Watabe (Nagaoka Univ. of Tech.) IN2023-67 |
In recent years, mobile communication devices have been providing various services via high-speed and high-capacity wire... [more] | IN2023-67 pp.13-18 |
| NS, IN (Joint) |
2024-02-29 11:10 |
Okinawa | Okinawa Convention Center | An unsupervised online learning-based traffic classification and anomaly detection method for 5G-IIoT systems Yuxuan Shi, Qianqian Pan, Akihiro Nakao (U Tokyo) NS2023-188 |
In the context of Society 5.0, the evolution of the Internet of Things (IoT) and its ever growing demands of massive Mac... [more] | NS2023-188 pp.96-102 |
| 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 |
| SR | 2024-01-25 13:25 |
Nagano | Nagano-ken JA building (Primary: On-site, Secondary: Online) |
[Short Paper]
A Performance Evaluation on Deep Reinforcement Learning based Transmit Power Control for Uplink NOMA Kaito Sawada, Xiaoyan Wang, Zhou Hang (Ibaraki Univ.), Masahiro Umehira (Nanzan Univ.) SR2023-73 |
Non-Orthogonal Multiple Access (NOMA) technology has attracted much attention in order to improve frequency utilization ... [more] | SR2023-73 pp.25-27 |
| 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 |
| ET | 2024-01-20 15:05 |
Kyoto | Kyoto University Yoshida Campus / Online (Primary: On-site, Secondary: Online) |
Learning Environment for Functional Programming with Focus on Application to Study Java Programming Kosuke Hotta, Yoshiki Sato (Tokyo Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.), Youzou Miyadera (Tokyo Gakugei Univ.) ET2023-49 |
Functional programming is a programming paradigm with characteristics that are significantly different from procedural p... [more] | ET2023-49 pp.24-31 |
| 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 |
|
| SS, MSS | 2024-01-17 14:30 |
Ishikawa | (Primary: On-site, Secondary: Online) |
Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator Ryoma Furuyama, Daiki Kuyoshi, Yamane Satoshi (Kanazawa Univ.) MSS2023-55 SS2023-34 |
Imitation learning is often used in addition to reinforcement learning in environments where reward design is difficult ... [more] | MSS2023-55 SS2023-34 pp.19-24 |
| 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) |
2024-01-17 16:00 |
Niigata | Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
A Proposal of Indoor Radio Propagation Estimation Method Using DCNN
-- On Input Maps for Improving Estimation Accuracy of Out-of-sight Areas -- Masamitsu Irikuchi, Tetsuro Imai (Tokyo Denki Univ.), Koshiro Kitao, Satoshi Suyama (NTTDOCOMO) AP2023-165 |
In the next generation communication system (6G), where further improvement of frequency utilization efficiency and powe... [more] | AP2023-165 pp.30-34 |
| SS, MSS | 2024-01-18 11:30 |
Ishikawa | (Primary: On-site, Secondary: Online) |
Deep Reinforcement Learning Using LMM's Studying Papers and Intrinsic Rewards Sota Nagano, Satoshi Yamane (Kanazawa Univ.) MSS2023-64 SS2023-43 |
Research combining deep reinforcement learning with a large language model (LLM) produced high scores even for open-worl... [more] | MSS2023-64 SS2023-43 pp.70-75 |
| 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 |
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