| 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 # | |
| AI | 2024-03-01 15:00 |
Aichi | Room0221, Bldg.2-C, Nagoya Institute of Technology | Performance Improvement for Mobile Edge Computing with Multi-Agent Deep Reinforcement Learning Kohei Suzuki, Toshiharu Sugawara (Waseda Univ.)  AI2023-42 |
In this paper, we propose a method for mobile edge computing using unmanned aerial vehicles (UAVs) to improve both the n... [more] | AI2023-42 pp.31-36 |
| NS, IN (Joint) |
2024-02-29 11:35 |
Okinawa | Okinawa Convention Center | Real-time Application Identification Scheme and Evaluation Method Using Machine Learning Tatsuhiro Ou, Kenji Kanai, Akihiro Nakao (Tokyo Univ.) NS2023-189 |
With the diversification of mobile applications, the implementation of priority control that meets the communication req... [more] | NS2023-189 pp.103-108 |
| RISING (3rd) |
2023-10-31 09:45 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Task Offloading for High-accuracy Computing in Mobile Edge-Quantum Computing Shimba Nozaki, Takuji Tachibana (Univ. Fukui) |
Because future applications with machine learning and AI require more sophisticated and faster computational processing... [more] |
|
| RISING (3rd) |
2023-10-31 10:45 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
Real-time Application Identification Scheme and Evaluation Method Using Machine Learning Tatsuhiro Ou, Kenji Kanai, Akihiro Nakao (Tokyo Univ.) |
With the diversification of mobile applications, the implementation of priority control that meets the communication requ... [more] | |
| AP | 2023-10-19 10:00 |
Iwate | Iwate University (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Study on Effective Output Layer for DCNN-Based Channel Prediction Model Kazuki Takahashi, Tetsuro Imai (Tokyo Denki Univ.), Miyuki Hirose (Kyushu Institute of Technology) AP2023-94 |
The next-generation mobile communication systems (B5G / 6G) currently under consideration require further improvements i... [more] | AP2023-94 pp.32-36 |
| MIKA (3rd) |
2023-10-10 15:35 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Study on Effective Optimization of Input Dataset for DCNN-Based Channel Prediction Model Kazuki Takahashi, Tetsuro Imai (Tokyo Denki Univ.), Miyuki Hirose (Kyushu Institute of Technology) |
The next-generation mobile communication systems (B5G / 6G) currently under consideration require further improvements i... [more] | |
| HWS | 2023-04-14 15:35 |
Oita | (Primary: On-site, Secondary: Online) |
Object Generation - Backdoor Attack against Object-Detection DNN Triggered by Fault Injection into MIPI Takumi Takubo, Tatsuya Oyama, Kota Yoshida, Shunsuke Okura, Takeshi Fujino (Ritsumeikan Univ.) HWS2023-6 |
Backdoor attacks that induce misclassification by poisoning training data and adding specific patterns (trigger marks) t... [more] | HWS2023-6 pp.20-25 |
| IN, NS (Joint) |
2023-03-03 11:40 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Real-time application identification method for mobile networks using machine learning Tatsuhiro Ou, Akihiro Nakao (Tokyo Univ.) NS2022-232 |
With the diversification of mobile applications, the implementation of priority control that meets the communication requ... [more] | NS2022-232 pp.372-377 |
| SIS | 2023-03-02 13:30 |
Chiba | Chiba Institute of Technology (Primary: On-site, Secondary: Online) |
An image watermarking method using adversarial perturbations Sei Takano, Mitsuji Muneyasu, Soh Yoshida (Kansai Univ.) SIS2022-43 |
The performance of convolutional neural networks (CNNs) has been dramatically improved in recent years, and they have at... [more] | SIS2022-43 pp.15-20 |
| RISING (3rd) |
2022-10-31 14:00 |
Kyoto | Kyoto Terrsa (Day 1), and Online (Day 2, 3) | [Poster Presentation]
Proposal of Traffic Collection and System Operation Schemes for Real-time Application Identification Tatsuhiro Ou, Norihiro Fukumoto, Akihiro Nakao (Tokyo Univ.) |
With the diversification of mobile applications, the need to identify the application names of traffic is increasing for ... [more] | |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 17:45 |
Online | Online (Zoom) | Estimating Subjective Video Quality of Smartphone Users Using Bio-signals in Real Environment by Considering Video-watching Contexts Shotaro Mishina, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2021-110 |
Our previous study suggests that it is possible to estimate the subjective video quality of smartphone users in real env... [more] | CQ2021-110 pp.55-60 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-11 14:15 |
Online | Online (Zoom) | Research on state recognition and behavior prediction of surrounding people using a stereo camera in a human coexistence type autonomous mobile robotResearch on State Recognition and Behavior Prediction of Surrounding People using a Stereo Camera in a Huma Masaaki Hayashi, Jun Ohya (Waseda Univ), Junji Yamato (KUTE-TOKYO), Mitsuhiro Kamezaki (Waseda Univ/JST PRESTO), Kyousuke Saitou, Tarou Hamada, Eriko Sakurai, Shigeki Sugano (Waseda Univ) IMQ2021-52 IE2021-114 MVE2021-81 |
In recent years, major advanced countries have been developing autonomous mobile robots to replace human labor as a coun... [more] | IMQ2021-52 IE2021-114 MVE2021-81 pp.216-221 |
| CQ, CBE (Joint) |
2022-01-28 17:05 |
Ishikawa | Kanazawa（Ishikawa Pref.） (Primary: On-site, Secondary: Online) |
Estimation of area contest for improving the quality of mobile network Yukina Takano, Kei Takeshita (NTT) CQ2021-99 |
Since mobile network is used in a variety of contexts such as applications and devices, it is important for network oper... [more] | CQ2021-99 pp.126-131 |
| RCS, SR, SRW (Joint) |
2021-03-05 16:30 |
Online | Online | [Invited Lecture]
A Hazardous Spot Detection Framework by Mobile Sensing and V2V Opportunistic Networks Yoshito Watanabe, Yozo Shoji (NICT) SR2020-88 |
This study proposes a framework to detect hazardous spots on roads by combining mobile sensing on commercial-use vehicle... [more] | SR2020-88 pp.91-98 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-01 09:20 |
Online | Online | A Comparison of Context Analysis and Estimation Methods for Mobile Users Considering the Time Series of Data Hiromi Shimizu, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2020-107 |
Recently, the demand for analyzing mobile user’s activities has been increasing in the fields such as customer behavior ... [more] | CQ2020-107 pp.1-5 |
| PRMU | 2020-12-18 14:40 |
Online | Online | Construction of SSD model applied Feature Contraction and Rand Augment by small training data Tomokazu Ozawa (UNICO), Yuki Matsumoto, Katsushi Miura (SEI), Takuya Okuno (SCE) PRMU2020-60 |
Appearance inspection is often performed to maintain quality in the industrial production. Until now, the appearance ins... [more] | PRMU2020-60 pp.128-132 |
| NS, ICM, CQ, NV (Joint) |
2020-11-27 14:00 |
Online | Online | [Encouragement Talk]
A Study of Accuracy Improvement of Silent Anomaly Detection Using Machine Learning in Mobile Access Networks Masatomo Suzuki, Akihiro Shiozu, Yasushi Konou (DOCOMO Technology) ICM2020-32 |
Mobile communication services have become indispensable in our daily life. While it is important to ensure the stabili... [more] |
ICM2020-32 pp.67-72 |
| PRMU | 2020-09-02 11:00 |
Online | Online | Cross-Modal Realization of Logical Scientific Concepts
-- To Think with Collective Human Intelligence -- Kumon Tokumaru (Writer) PRMU2020-12 |
Words are transferred to the brain as sound stimuli, and network with individual episodic and semantic memories to gener... [more] | PRMU2020-12 pp.29-34 |
| ISEC, IT, WBS | 2020-03-11 11:20 |
Hyogo | University of Hyogo (Cancelled but technical report was issued) |
Applying Machine Learning to Malware Detection in Mobile Applications Yoshiki Kusama, Keiji Takeda, Kazuma Kobayashi, Osamu Nakamura (Keio Univ.), Lee Myoungje (LINE corp.) IT2019-112 ISEC2019-108 WBS2019-61 |
In this paper, we proposed and implemented a detection method that focuses on a binary file stored in an APK(Android app... [more] | IT2019-112 ISEC2019-108 WBS2019-61 pp.151-157 |
| ICM | 2020-03-03 13:50 |
Okinawa | Ohama Nobumoto Memorial Hall (Cancelled but technical report was issued) |
Efforts to apply AI to network operation analysis Tatsuya Kimura (Solution Service Division), Ryo Saito (Service Operations Department), Yuichi Suwa, Seiji Shibata, Akihiro Shiozu, Yoshitomo Inagaki, Masatomo Suzuki (Solution Service Division), Kouji Yamamoto (Service Operations Department) ICM2019-58 |
With the introduction of new technologies such as network virtualization and 5G, the amount of maintenance work on mobil... [more] | ICM2019-58 pp.95-99 |
[Return to Top Page]