| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS | 2024-04-11 15:30 |
Okayama | Okayama Prefectural Library + Online (Primary: On-site, Secondary: Online) |
[Invited Talk]
Trust in the Recommender System and its Prediction based on the Performance Beliefs Yoshinori Hijikata (KGU)  NS2024-4 |
This paper introduces our study on users’ perceived trust in the recommendation system. In recent years, as represented ... [more] | NS2024-4 pp.17-22 |
| AP | 2024-03-15 13:25 |
Fukui | UNIVERSITY OF FUKUI (Primary: On-site, Secondary: Online) |
Measurement accuracy of K factor in the sky cell for 3D spatial cell construction Teruya Fujii (Titech), Susumu Yoneda (SB) AP2023-216 |
The flight control of drones and the transfer of captured video data by using the mobile communication network will be e... [more] | AP2023-216 pp.85-90 |
| NLP, MSS | 2024-03-13 13:55 |
Misc. | Kikai-Shinko-Kaikan Bldg. | Improvement of TimesNet's Inception Module in Time Series Prediction Sayaka Tanaka, Masato Shirai (Shimane Univ.) MSS2023-77 NLP2023-129 |
In recent years, time series forecasting has been actively researched. Time series prediction uses the continuity and pe... [more] | MSS2023-77 NLP2023-129 pp.35-37 |
| RCS, SR, SRW (Joint) |
2024-03-15 13:50 |
Tokyo | The University of Tokyo (Hongo Campus), and online (Primary: On-site, Secondary: Online) |
Time-Varying Channel Prediction Considering Angle-of-Arrival Variation for Hybrid Massive MIMO Communications Yuki Ono, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech), Satoshi Suyama, Takahiro Asai (NTT DOCOMO) RCS2023-287 |
For 5G massive MIMO systems, hybrid beamforming (HB), which is composed of analog beamforming (AB) and digital beamformi... [more] | RCS2023-287 pp.146-151 |
| NC, MBE (Joint) |
2024-03-12 11:40 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Generalization Model of Monkey V4 Neurons based on FCN encoder Tsubasa Saito, Taisei Hara, Ko Sakai (Univ. of Tsukuba) NC2023-54 |
The V4 field in the ventral visual pathway is situated as an intermediary region processing visual information crucial f... [more] | NC2023-54 pp.65-68 |
| SeMI, IPSJ-UBI, IPSJ-MBL | 2024-02-29 15:10 |
Fukuoka | Evaluation Experiment of Display Camera Visible Light Communication Using Adversarial Examples on a Monocular Depth Estimation Model Changseok Lee, Hiraku Okada (Nagoya Univ.), Tadahiro Wada (Shizuoka Univ.), Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.) SeMI2023-75 |
Hidden display-camera visible light communication is a method of embedding data in visual information such as images and... [more] | SeMI2023-75 pp.25-30 |
|
| 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 |
|
| ICTSSL, CAS | 2024-01-25 09:55 |
Kanagawa | (Primary: On-site, Secondary: Online) |
A Note on Prediction Method for Road Surface Condition by LSTM Using Time Series Data in Winter Roads Kenta Motosaka, Kota Uenishi, Masahiro Yagi, Sho Takahashi, Toru Hagiwara (Hokkaido Univ.) CAS2023-83 ICTSSL2023-36 |
In snowy and cold regions, road surfaces change with snowfall, causing traffic accidents. If the road administrator ca... [more] | CAS2023-83 ICTSSL2023-36 pp.5-10 |
| SeMI | 2024-01-19 11:05 |
Yamanashi | Raki House Kaiji | 5G throughput prediction for 28GHz cell area using surrounding spatial information Hisashi Nagata, Riichi Kudo, kahoko takahashi, Fujita Takafumi (NIPPON TELEGRAPH AND TELEPHONE CORPORATION), Yuya Aoki, Morihiro Yoshifumi (NTT DOCOMO, INC.) SeMI2023-67 |
Every thing is connected to the network, and the amount of mobile traffic is increasing year by year. Therefore, the use... [more] | SeMI2023-67 pp.94-99 |
| AP, WPT (Joint) |
2024-01-19 10:20 |
Niigata | Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
The Impact of Ray Tracing Parameters for Mobile Propagation Prediction in Outdoor Urban Scenarios Miyuki Hirose (Kyutech), Tetsuro Imai (TDU), Satoshi Iwasaki, Gilbert Siy Ching, Yukiko Kishiki (KKE) AP2023-180 |
This paper aims to improve the mobile propagation prediction by optimizing the ray tracing parameters. Ray tracing techn... [more] | AP2023-180 pp.105-109 |
| 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 |
| AP, WPT (Joint) |
2024-01-19 15:50 |
Niigata | Tokimate, Niigata University (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Generation of Virtual City 3D Model for Pathloss Dataset Extension Rento Hagiwara, Koichi Ichige (Yokohama National Univ), Tatsuya Nagao, Takahiro Hyashi (KDDI Research Inc.) AP2023-185 |
In this paper, we propose a method to generate a 3D model of virtual cities for propagation data generation by ray traci... [more] | AP2023-185 pp.131-136 |
| NS, RCS (Joint) |
2023-12-15 09:50 |
Fukuoka | Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Analysis of Features Contributing to Early Detection of Failures in 5G Core Networks Using Machine Learning Takeru Hakii (UTokyo), Takuya Miyasaka, Junichi Kawasaki, Daiki Koyama (KDDI Research, Inc.), Norihiro Fukumoto, Akirhiro Nakao (UTokyo) NS2023-141 |
CNF-based 5GC, a cloud-native implementation of network functions (NFs), is increasingly using machine learning for earl... [more] | NS2023-141 pp.90-96 |
| NS, RCS (Joint) |
2023-12-15 14:50 |
Fukuoka | Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
High-accuracy 3D spatial measurement of Nakagami-Rice variation K-Factor in Sky Cells Teruya Fujii (Titeck) RCS2023-202 |
The flight control of drones and the transfer of captured video data by using the mobile communication network will be e... [more] | RCS2023-202 pp.129-134 |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Turn-Taking Prediction Model Using Single Speaker Features Kazuyo Onishi, Hiroki Tanaka, Satoshi Nakamura (NAIST) |
Prediction of utterances in two-party conversations is important to make turn-taking between humans and virtual agents n... [more] | |
| SIS | 2023-12-08 09:30 |
Aichi | Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
A Proposal of Losing Point Prediction Method Reflecting the Day's Conditions Based on Tracking Data Sota Akamatsu, Eiichiro Kodama, Wang Jiahong, Bhed Bahadur Bista, Toyoo Takata (Iwate Prefectural University) SIS2023-33 |
In baseball, the timing of pitcher substitutions is one of the most important factors influencing the winning percentage... [more] | SIS2023-33 pp.49-54 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-16 16:50 |
Tottori | (Primary: On-site, Secondary: Online) |
Flood forecasting in Matsue City using statistical methods Kazuki Yamamoto, Hitoshi Sakano, Hiroshi Yajima (Shimane Univ.) PRMU2023-23 |
In this study, we applied a statistical modeling approach to flood forecasting in rivers within Matsue City, examining a... [more] | PRMU2023-23 pp.43-46 |
| RISING (3rd) |
2023-10-31 10:45 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Experiments on a Large-scale Federated Learning System for Fishing Prediction Harii Oura, Takuji Tachibana, Tomoya Kawakami (Fukui Univ) |
In federated learning, a method of distributed learning, a global model is constructed from only the training results wi... [more] | |
| NC, MBE (Joint) |
2023-10-28 11:10 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Multi-step ahead time series prediction based on hierarchical reservoir computing with multiple memory capacity. Wenkai Yu, Satoshi Moriya, Hideaki Yamamoto, Shigeo Sato (Tohoku Univ) NC2023-30 |
Reservoir computing has proven to be an efficient model in many areas, such as time series prediction. However, multi-st... [more] | NC2023-30 p.24 |
| 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 |
[Return to Top Page]