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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IA | 2023-09-21 14:40 |
Hokkaido | Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
Extracting context from external events using auxiliary information from network traffic data Eilaf M.A Babai, Koji Okamura (Kyushu Univ.)  IA2023-13 |
Network traffic flow data is the main source of information about the network status, and it is constantly monitored to ... [more] | IA2023-13 pp.11-18 |
| NS, IN, CS, NV (Joint) |
2023-09-08 11:50 |
Miyagi | Tohoku University (Primary: On-site, Secondary: Online) |
Dynamic Control of Wireless Parameters at Base Stations for Low Latency Video Distribution Using Local 5G Koki Horita, Akihiro Nakao (UTokyo) NS2023-62 |
5G is expected to be applied to low-latency video transmission, however, the setting of QoS for low-latency video deliv... [more] |
NS2023-62 pp.59-64 |
| WIT | 2023-06-16 16:15 |
Okinawa | Okinawa Industry Support Center (Primary: On-site, Secondary: Online) |
Proposing a Feature-Analysis Method of Finger-Movement Data for Predicting Cognitive Function of Elderly People Hayato Seiichi, Sinan Chen, Atsuko Hayashi, Masahide Nakamura (Kobe Univ.) WIT2023-6 |
In recent years, a growing body of research has suggested a relationship between cognitive function and manual dexterity... [more] | WIT2023-6 pp.30-35 |
| BioX, SIP, IE, ITE-IST, ITE-ME [detail] | 2023-05-18 15:45 |
Mie | Sansui Hall, Mie University (Primary: On-site, Secondary: Online) |
A Study on Improving Prediction Accuracy of Frame Extrapolation Using Forward Warping Kazuki Kotoyori, Shota Hirose, Joi Shimizu, Heming Sun, Jiro Katto (Waseda Univ.) SIP2023-6 BioX2023-6 IE2023-6 |
Recently, many extrapolation models, which predict future frames of video, have been proposed. This study proposes to ch... [more] | SIP2023-6 BioX2023-6 IE2023-6 pp.22-27 |
| AP | 2023-05-12 10:00 |
Okinawa | Okinawa Gender Equality Center (Primary: On-site, Secondary: Online) |
A Study on Radio Propagation Modeling using RNN-Encoder with Variable-Size Map Data Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2023-17 |
For efficient evaluation of the performance of wireless systems in physical space, wireless emulation techniques in virt... [more] | AP2023-17 pp.48-53 |
| NS | 2023-04-13 13:40 |
Fukushima | Nihon University, Koriyama Campus + Online (Primary: On-site, Secondary: Online) |
Vehicle Traffic Density Estimation for Predicting Communication Traffic Volume by Vehicle Communication Service Yoshie Morita, Kengo Tajiri, Yoichi Matsuo (NTT) NS2023-3 |
Vehicle communication services are new services using the mobile communication network. Since these services are expecte... [more] | NS2023-3 pp.13-18 |
| ITS, IEE-ITS | 2023-03-13 16:20 |
Chiba | Nihon Univ., Funabashi Campus (Primary: On-site, Secondary: Online) |
Prediction of the Future Location of a Vehicle captured from the Dashboard Camera using Instance Segmentation Koki Ikeda, Takumi Uemura, Shuichi Ojima (Sojo Univ.) ITS2022-83 |
In recent years, the development of automated driving has been active in the automated driving industry, and Level 3 and... [more] | ITS2022-83 pp.22-27 |
| NC, MBE (Joint) |
2023-03-13 16:30 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Evaluation of the transfer of prediction ability between two reflexive eye movements responsible for dynamic visual field stabilization. Toshimi Yamanaka, Yutaka Hirata (Chubu univ.) NC2022-98 |
The optokinetic response (OKR) and the vestibulo-ocular reflex (VOR) are reflexive eye movements that are responsible fo... [more] | NC2022-98 pp.36-41 |
| MI | 2023-03-06 17:04 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Rotation-Equivariant CNN for Medical Image Processing Applications Ryota Ogino, Kugler Mauricio, Tatsuya Yokota, Hidekata Hontani (NITech) MI2022-96 |
In this study, we report an attempt to use a Rotation-Equivariant CNN to organize image data whose rotation direction an... [more] | MI2022-96 pp.113-114 |
| IN, NS (Joint) |
2023-03-02 14:40 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Feature Selection Method for Predicting Network Failures on CNF 5GC Using Machine Learning with Low Layer Log Data Takeru Hakii, Norihiro Fukumoto, Akihiro Nakao (UTokyo) NS2022-192 |
In complex networks, once a failure occurs, it takes a long time to identify and recover from the cause of the failure, ... [more] | NS2022-192 pp.145-150 |
| MW | 2023-03-02 10:40 |
Tottori | Tottori Univ. (Primary: On-site, Secondary: Online) |
Memory-Driven MLP-Mixer Deep Learning Model for Intelligent Reflecting Surface-Assisted mmWave Systems Beam Prediction Taisei Urakami, Haohui Jia, Na Chen, Minoru Okada (NAIST) MW2022-159 |
Although deep learning (DL) based beam prediction for intelligent reflecting surface (IRS)-assisted millimeter wave (mmW... [more] | MW2022-159 pp.13-18 |
| SeMI, IPSJ-UBI, IPSJ-MBL | 2023-03-01 15:50 |
Aichi | (Primary: On-site, Secondary: Online) |
Implementation and Evaluation of a Hyperglycemia Control Support System Considering both User Preference and Blood Glucose Level Nanako Michiura, Yuki Matsuda, Hirohiko Suwa, Keiichi Yasumoto (Naist) SeMI2022-112 |
In recent years, there has been much effort to develop self-management systems to control hyperglycemia for diabetic pat... [more] | SeMI2022-112 pp.31-36 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 11:10 |
Hokkaido | Hokkaido Univ. | [Special Talk]
Study of Probability Modeling for Lossless Image Coding Using Example Search and Adaptive Prediction Hiroki Kojima (KDDI), Yasuyo Kita, Ichiro Matsuda (Tokyo Univ. of Science) ITS2022-46 IE2022-63 |
Many efficient lossless image coding methods predict the next pel value to be coded from the pels already coded, and rem... [more] | ITS2022-46 IE2022-63 p.25 |
| NC, NLP | 2023-01-29 15:55 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Indoor air quality prediction using multi-reservoir echo state network with attention mechanism Wenrui Qiu, Gouhei Tanaka (UTokyo) NLP2022-106 NC2022-90 |
Indoor air quality (IAQ) is a critical matter of concern in terms of its impact on public health and well-being. Researc... [more] | NLP2022-106 NC2022-90 pp.135-140 |
| IA | 2023-01-25 15:45 |
Osaka | Osaka Umeda Campus, Kwansei Gakuin University (Osaka) (Primary: On-site, Secondary: Online) |
Predicting the drop out of Prince of Songkla University students using machine learning methods Theerayuth Prasompong, Suwimon Bureekarn, Chidchanok Choksuchat (PSU) IA2022-73 |
In point of students, ‘dropout’ problem in higher education wastes their time and tuition fees. In contrast, universitie... [more] | IA2022-73 pp.36-42 |
| IT, RCS, SIP | 2023-01-25 14:35 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
An Optimal Prediction on Multilevel Coefficient Linear Regression Model by Bayes Decision Theory and Its Approximation Method Kohei Horinouchi, Koshi Shimada, Toshiyasu Matsushima (Waseda Univ.) IT2022-67 SIP2022-118 RCS2022-246 |
It is common practice to apply Multilevel Analysis for the data sampled from various classes. In this Analysis, it is co... [more] | IT2022-67 SIP2022-118 RCS2022-246 pp.217-222 |
| IN | 2023-01-19 13:00 |
Aichi | Aichi Industry & Labor Center (Primary: On-site, Secondary: Online) |
A Study on Throughput Estimation Method using Transmission Rate Variation Model based on Advection-Diffusion Equation for Multi-Rate Wireless LAN Environment Shunsuke Sawamura, Hiroyasu Obata, Chisa Takano, Kenji Ishida (Hiroshima City Univ.) IN2022-56 |
In the situation where there are a lot of WiFi spots, it is necessary to select appropriate Access Point (AP) in order t... [more] | IN2022-56 pp.27-32 |
| AP, WPT (Joint) |
2023-01-19 11:15 |
Hiroshima | Hiroshima Institute of Technology (Primary: On-site, Secondary: Online) |
Multi-Input RNN Based Proactive Prediction of Path Loss using Building Information in UMa Environments Motoharu Sasaki, Naoki Shibuya, Kenichi Kawamura, Nobuaki Kuno, Minoru Inomata, Wataru Yamada, Takatsune Moriyama (NTT) AP2022-180 |
We report a multi-input RNN model that predicts path loss after 5 seconds using GRU (Gated Recurrent Unit), which is one... [more] | AP2022-180 pp.18-23 |
| AP, WPT (Joint) |
2023-01-19 13:55 |
Hiroshima | Hiroshima Institute of Technology (Primary: On-site, Secondary: Online) |
[Tutorial Lecture]
On the Prediction of Vertical Plane Over-the-Rooftop Propagation Loss in Urban Macrocellular Environment (2) Jun-ichi Takada, Du Xin (Tokyo Tech) AP2022-184 |
As over-the-rooftop propagation is dominant in an urban macrocell environment, the multi-screen diffraction model has be... [more] | AP2022-184 pp.39-44 |
| RCS, NS (Joint) |
2022-12-15 09:45 |
Aichi | Nagoya Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Efficient Beam Prediction for Intelligent Reflecting Surface-Assisted mmWave Systems based on Memory Driven Simple Transformer Deep Learning Model Taisei Urakami, Haohui Jia, Na Chen, Minoru Okada (NAIST) RCS2022-185 |
In this paper, we propose a memory driven simple transformer (MDST) deep learning (DL) model with the autoregressive mod... [more] | RCS2022-185 pp.1-6 |
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