| IEICE Technical Committee Submission System Conference Schedule |
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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SR | 2025-01-31 10:35 |
Kagawa | Sunport Takamatsu (Kagawa, Online) (Primary: On-site, Secondary: Online) |
[Short Paper]
Semantic Blockage Prediction and Low-Latency Handover in V2I Communications Katsuya Suto (UEC), Hikaru Tsuchida, Yuji Miyake, Masao Oga (MELCO) |
(To be available after the conference date) [more] | |
| NC, NLP (Joint) |
2025-01-29 09:30 |
Osaka | (Osaka) | The Neural Network Model of Cerebellum-Cerebrum connection Taishiro Chiba, Kajimoto Shotaro, Hirokazu Tanaka (TCU) |
(To be available after the conference date) [more] | |
| HCS, HIP | 2025-01-24 14:00 |
Osaka | Ritsumeikan University Osaka Ibaraki Campus (Osaka) | Detecting Cultural Differences in Emoji Usage between Japanese and English Kanaha Mori, Yohei Murakami, Mondheera Pituxcoosuvarn (Ritsumeikan Univ.)  HCS2024-71 HIP2024-72 |
(To be available after the conference date) [more] | HCS2024-71 HIP2024-72 pp.34-39 |
| AP, WPT (Joint) |
2025-01-23 14:35 |
Shimane | Rokan, Matsue (Shimane, Online) (Primary: On-site, Secondary: Online) |
Long-term trends in Rainfall extreme data in Japan [III] Yoshio Karasawa AP2024-174 |
(To be available after the conference date) [more] | AP2024-174 pp.39-44 |
| IBISML | 2024-12-20 14:00 |
Hokkaido | Lecture room 1 (D101), Graduate School of Environmental Science (Hokkaido, Online) (Primary: On-site, Secondary: Online) |
Conformal Prediction and Bayesian Optimization Shun Nanjo (SOKENDAI), Ryo Yoshida (ISM) IBISML2024-42 |
Conformal Prediction is a framework for quantifying the uncertainty of predictions from any given model. In this study, ... [more] | IBISML2024-42 pp.77-80 |
| CPSY, IPSJ-ARC, IPSJ-HPC | 2024-12-17 16:25 |
Okinawa | Okinawa Industry Support Center (Okinawa, Online) (Primary: On-site, Secondary: Online) |
Analyzing and Resolving the precision drop in Branch Prediction on the RISC-V Processor Supporting Compressed instruction-set extension Shun Murakami, Yasushi Inoguchi (JAIST) CPSY2024-44 |
In recent years, embedded and application processors have been considering using RISC-V Instruction set architecture, wh... [more] | CPSY2024-44 pp.13-19 |
| SIS | 2024-12-05 16:40 |
Osaka | Osaka Electro-Communication University (Osaka, Online) (Primary: On-site, Secondary: Online) |
Improving Accuracy of Network Bandwidth Prediction Using Multi-Output Gaussian Process Regression Chen shude, Shiroma Tadashi, Nakamura Morikazu, Nakachi Takayuki (Ryudai) SIS2024-39 |
In this report, we propose a network bandwidth prediction model utilizing a Multi-Output Gaussian Process (MOGP). Conven... [more] | SIS2024-39 pp.49-54 |
| SITE, LOIS, ISEC | 2024-11-15 13:05 |
Fukuoka | (Fukuoka) | A Study on Plaintext Prediction for a Lightweight Block Cipher Midori Using Neural Network Eiki Furutsu, Shunsuke Araki (Kyutech) ISEC2024-81 SITE2024-78 LOIS2024-45 |
Midori is a lightweight block cipher designed for low power consumption. Since many analysis papers have been published... [more] |
ISEC2024-81 SITE2024-78 LOIS2024-45 pp.126-133 |
| CCS | 2024-11-12 13:05 |
Miyagi | Tohoku University (Miyagi) | Performance evaluation of a physical reservoir consisting of analog electronic circuits with real-world temporal data Shimon Matsuno, Yuki Abe, Kota Ando, Tetsuya Asai (Hokkadio Univ.) CCS2024-43 |
This report describes popular benchmark tasks & time series prediction with real-world temporal datas by using physical ... [more] | CCS2024-43 pp.1-6 |
| RISING (3rd) |
2024-11-12 09:15 |
Hokkaido | Kaderu 2・7 (Sapporo) (Hokkaido) | [Poster Presentation]
A Matching Method for Power Trading with Autonomous Vehicles in V2G Shun Yokoyama, Tomoko Iwata, Taku Yamazaki, Takumi Miyoshi (SIT) |
In recent years, the use of electric vehicles (EVs) and renewable energy has been expanding in efforts to realize a deca... [more] | |
| RISING (3rd) |
2024-11-12 09:15 |
Hokkaido | Kaderu 2・7 (Sapporo) (Hokkaido) | [Poster Presentation]
Passive Prediction for WLAN Potential Throughput using Communication Logs Nan Ni, Takeo Fujii (UEC) |
With the advent of 5G and Wi-Fi 6, wireless communication has become faster and lower latency than ever before. This has... [more] | |
| RISING (3rd) |
2024-11-12 10:15 |
Hokkaido | Kaderu 2・7 (Sapporo) (Hokkaido) | [Poster Presentation]
Initial Evaluation for Interpolating Anomalous Point Cloud Frames Based on Point Cloud Prediction Yoshiki Yamaguchi, Yuki Umemoto, Takumi Miyoshi, Taku Yamazaki, Ryoichi Shinkuma (SIT) |
Light detection and ranging (LiDAR) sensors, which can capture real-time 3D point cloud data as spatial information, pla... [more] | |
| RISING (3rd) |
2024-11-12 11:15 |
Hokkaido | Kaderu 2・7 (Sapporo) (Hokkaido) | [Poster Presentation]
Magnetic Field Prediction for Wireless Power Transfer Systems Using Gaussian Process Regression Yuichi Honjo, Cedric Caremel (Utokyo), Yuta Noma (UoT), Ken Takaki, Yoshihiro Kawaraha, Takuya Sasatani (Utokyo) |
Wireless power transfer (WPT) systems promise seamless powering for dynamic electronic devices, from electric vehicles ... [more] |
|
| OFT, OCS, IEE-CMN, ITE-BCT, CQ (Joint) [detail] |
2024-11-07 15:00 |
Kochi | (Kochi) | A study for prediction-based contents distribution control for moving robotics devices Arata Koike (Tokyo Kasei Univ.), Yoshiko Sueda (Meisei Univ.) CQ2024-61 |
We studied a robotics device that traveled through an intermittent communication network environment. We assumed that th... [more] | CQ2024-61 pp.18-23 |
| CS | 2024-11-07 11:12 |
Osaka | Osaka Public University I-site Namba C1 Conference Room (Osaka) | Energy-Saving Method Using Traffic Prediction with Optical-Wireless Cooperative Control for Radio Access Network Karin Umeda, Kenji Miyamoto, Tatsuya Shimada, Tomoaki Yoshida (NTT) CS2024-55 |
To achieve carbon neutrality, we need to reduce power consumption while meeting strict performance requirements in the 6... [more] | CS2024-55 pp.44-45 |
| CS | 2024-11-08 10:50 |
Osaka | Osaka Public University I-site Namba C1 Conference Room (Osaka) | [Invited Lecture]
Received Signal Strength Prediction using Multimodal Deep Learning Khanh Nam Nguyen, Kenichi Takizawa (NICT) CS2024-65 |
This study demonstrates the feasibility of predicting future 2.4 GHz Received Signal Strength Indicator (RSSI) for robot... [more] | CS2024-65 pp.77-81 |
| RCS | 2024-10-18 13:15 |
Tokyo | (Tokyo, Online) (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Multi-Radio Proactive Control Technologies: Cradio Keisuke Wakao, Motoharu Sasaki, Kenichi Kawamura, Toshiro Nakahira, Yusuke Asai, Tomoaki Ogawa (NTT) RCS2024-147 |
In the age of 6G/IOWN, it is assumed that the communication quality index required for the network and the requirement w... [more] | RCS2024-147 p.64 |
| NLP, CAS | 2024-10-17 11:40 |
Tottori | Information Center, Tottori University (Tottori) | Hierarchical lossless RGB color image coding by CNN predictors with color difference prediction Yoshiki Nimi, Shuichi Tajima (Chukyo Univ.), Hideharu Toda (Tohoku Bunka Gakuen Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) CAS2024-33 NLP2024-63 |
We are developing a hierarchical lossless image coding scheme using cellular neural networks (CNNs) as image predictors.... [more] | CAS2024-33 NLP2024-63 pp.33-38 |
| AP | 2024-10-18 09:20 |
Fukuoka | ACROS Fukuoka (Fukuoka, Online) (Primary: On-site, Secondary: Online) |
Long-term trends in rainfall extreme data in Japan [II] Yoshio Karasawa AP2024-126 |
This presentation is a sequel to the AP-ken presentation of the same title in April this year. In recent years, the issu... [more] | AP2024-126 pp.200-205 |
| AI | 2024-09-12 16:20 |
Fukui | (Fukui) | Development of a Fish Catch Prediction Model Using Machine Learning Tomohiro Tanaka, Yasuyuki Tahara, Akihiko Ohsuga, Yuichi Sei (UEC) AI2024-7 |
In this study, a fish catch prediction model was developed using meteorological and tidal data, with the machine learnin... [more] | AI2024-7 pp.36-41 |
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