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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SeMI, IPSJ-UBI, IPSJ-MBL | 2024-03-01 11:50 |
Fukuoka | Proposal of a method for analyzing the flow of people near stations based on multiple data integration Yasuhiro Aoki, Yoshiki Mashima, Yoshihiko Suzuki (Toshiba Infrastructure S&S co,ltd)  SeMI2023-84 |
With the spread of smartphones, it has become possible to know people's movement history in detail, and people flow pred... [more] | SeMI2023-84 pp.76-81 |
|
| SAT, SANE (Joint) |
2024-02-09 11:50 |
Kagoshima | AmaHome PLAZA (Amami City Shimin Koryu Center) (Primary: On-site, Secondary: Online) |
[Short Paper]
BPSK Symbol-Level Precoding with CSI Sign-only Prediction for Satellite Communication System Rizky Pratama Hudhajanto (NAIST), Duong Quang Thang (OIT), Na Chen, Minoru Okada (NAIST) SAT2023-74 |
LEO satellites offer potential global coverage for 5G networks, but their fast movement and propagation delay render acq... [more] | SAT2023-74 pp.75-77 |
| UWT (2nd) |
2024-01-29 14:15 |
Tokyo | Tokai University Shinagawa Campus (Primary: On-site, Secondary: Online) |
Shallow-Water Experimental Evaluation of Differential OFDM Software MODEMs for Underwater Acoustic Communications Taichi Fujita, Kouichi Hashimoto, Takumi Yoshimura, Hiroshi Kubo (Ritsumeikan Univ.) |
It is well-known that underwater acoustic communications (UWACs) play an important role in underwater mobile communicati... [more] | |
| 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 |
| SIP, IT, RCS | 2024-01-19 10:55 |
Miyagi | (Primary: On-site, Secondary: Online) |
Experimental Results of Differential OFDM for Underwater Acoustic Communications in Sharrow Sea Environment Taichi Fujita, Kouichi Hashimoto, Takumi Yoshimura, Hiroshi Kubo (Ritsumeikan Univ.) IT2023-59 SIP2023-92 RCS2023-234 |
It is well known that wireless transmission technologies employing spatial combining and adaptive equalization and those... [more] | IT2023-59 SIP2023-92 RCS2023-234 pp.157-162 |
| SeMI | 2024-01-19 10:00 |
Yamanashi | Raki House Kaiji | [Short Paper]
Prediction of concentration by measuring head motion using AR glasses with 9-axis sensor Tatsuki Itani, Masashi Sugano (Osaka Metropolitan Univ.) SeMI2023-64 |
Fatigue and concentration are closely related, and successful concentration measurement can lead to efficient work promo... [more] | SeMI2023-64 pp.76-81 |
| 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 17:10 |
Fukuoka | Kyushu Institute of Technology Tobata campus, and Online (Primary: On-site, Secondary: Online) |
A Study of Q-drop Identification by Analyzing Receiver-Side Quality Data for Optical Transmission Systems Kohei Watanabe, Hiroshi Yamamoto, Hiroki Date, Daisaku Shimazaki (NTT), Yutaka Fukuchi, Hideki Maeda (TUS) NS2023-153 |
High reliability is required for optical transmission systems, which are widely deployed as the network infrastructure f... [more] | NS2023-153 pp.157-162 |
| 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 |
| NLP | 2023-11-28 11:15 |
Okinawa | Nago city commerce and industry association | Dynamics of Reservoir in Echo State Network Shion Yoshida, Tohru Ikeguchi (TUS) NLP2023-62 |
Reservoir computing is one of the frameworks for machine learning for fast and highly accurate analysis of time series a... [more] | NLP2023-62 pp.15-20 |
| 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 |
| AP, RCS (Joint) |
2023-11-17 11:25 |
Kumamoto | Kumamoto Prefectural Workers' Welfare Hall (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Differential OFDM for Underwater Acoustic Communications and its Experimental Results in Sharrow Sea Environment Hiroshi Kubo, Taichi Fujita, Kouichi Hashimoto, Takumi Yoshimura (Ritsumeikan Univ.) RCS2023-172 |
It is well-known that underwater acoustic communications (UWACs) play an important role for underwater mobile communicat... [more] | RCS2023-172 pp.101-106 |
| 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] | |
| RISING (3rd) |
2023-10-31 10:45 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Formulation of a Social Surplus Optimization Problem for Predicting Fishing Outcomes Using Federated Learning Shotaro Kitano, Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) |
In cross-device federative learning, where each client participates with an IoT device such as a smartphone, a large num... [more] | |
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