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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS | 2024-06-19 11:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Environment-Specific Beam Search Using Machine Learning for Connected Autonomous Vehicle Ryo Iwaki, Jin Nakazato (UT), Kazuki Maruta (TUS), Manabu Tsukada, Hideya Ochiai, Hiroshi Esaki (UT) |
[more] | |
| SIP, IT, RCS | 2024-01-19 09:55 |
Miyagi | (Primary: On-site, Secondary: Online) |
A Study on Stable Beam Tracking from Multiple Roadside Devices in Cooperative Automatic Operation Kengo Suzuki, Jin Nakazato (UTOKYO), Kazuki Maruta (TUS), Ehsan Javanmardi, Manabu Tsukada, Hiroshi Esaki (UTOKYO)  IT2023-57 SIP2023-90 RCS2023-232 |
[more] | IT2023-57 SIP2023-90 RCS2023-232 pp.145-150 |
| AP, RCS (Joint) |
2023-11-15 15:35 |
Kumamoto | Kumamoto Prefectural Workers' Welfare Hall (Primary: On-site, Secondary: Online) |
Adaptive Fast Beam Tracking Algorithm for Various Road Environment Ryo Iwaki, Jin Nakazato (UTokyo), Sojin Ozawa, Kazuki Maruta (TUS), Muhammad Asad, Ehsan Javanmardi, Manabu Tsukada, Hideya Ochiai, Hiroshi Esaki (UTokyo) RCS2023-160 |
The commercialization of 5G has been initiated for a while. Furthermore, millimeter wave (mmWave) has been introduced to... [more] | RCS2023-160 pp.45-50 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 14:10 |
Hokkaido | Hokkaido Univ. | Feasibility Study on Remote Collaboration under 5G Mobile Broadband Kosuke Nakagawa, Jin Nakazato (UTokyo), Romain Fontugne (IIJlab), Ito Koki, Manabu Tsukada, Hiroshi Esaki (UTokyo) ITS2022-71 IE2022-88 |
[more] | ITS2022-71 IE2022-88 pp.163-168 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 15:50 |
Hokkaido | Hokkaido Univ. | AutowareV2X: Enabling V2X Communication and Collective Perception for Autonomous Driving Yu Asabe, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, Hiroshi Esaki (UTokyo) ITS2022-77 IE2022-94 |
For cooperative intelligent transport systems (C-ITS), vehicle-to-everything (V2X) communication is utilized to allow au... [more] | ITS2022-77 IE2022-94 pp.198-203 |
| CAS, MSS, IPSJ-AL [detail] | 2022-11-18 09:50 |
Kochi | (Primary: On-site, Secondary: Online) |
A learning network for combing distributed neural modules Kengo Suzuki, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-48 MSS2022-31 |
[more] | CAS2022-48 MSS2022-31 pp.55-58 |
| CAS, MSS, IPSJ-AL [detail] | 2022-11-18 10:10 |
Kochi | (Primary: On-site, Secondary: Online) |
Wide Area Localization Using Autonomous Distributed Cooperative Learning with Wi-Fi Signal Strength Yusuke Sugizaki, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-49 MSS2022-32 |
Although there have been previous studies on localization using Wi-Fi signal information, this study proposes a method u... [more] | CAS2022-49 MSS2022-32 pp.59-62 |
| CAS, MSS, IPSJ-AL [detail] | 2022-11-18 10:30 |
Kochi | (Primary: On-site, Secondary: Online) |
Topology analysis in the P2P Federated Learning Yoshihiko Ito, Hideya Ochiai, Hiroshi Esaki (Univ, Tokyo) CAS2022-50 MSS2022-33 |
P2P Federated Learning is a method of distributed machine learning and the cost of model trading becomes too huge in a l... [more] | CAS2022-50 MSS2022-33 pp.63-66 |
| CAS, MSS, IPSJ-AL [detail] | 2022-11-18 13:05 |
Kochi | (Primary: On-site, Secondary: Online) |
An Analysis of Model Parameters Propagation over Decentralized Federated Learning Koshi Eguchi, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-51 MSS2022-34 |
Although there have been many studies on Decentralized Federated Learning (DFL), few have focused on the propagation of ... [more] | CAS2022-51 MSS2022-34 pp.67-70 |
| CAS, MSS, IPSJ-AL [detail] | 2022-11-18 13:25 |
Kochi | (Primary: On-site, Secondary: Online) |
An ML-Model Transfer Algorithm with Forward Error Correction for Wireless Ad Hoc Federated Learning Kentaro Nagaya, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-52 MSS2022-35 |
Most studies of Wireless Ad-Hoc Federated Learning(WAFL) are done in simulations, and few have focused on its feasibilit... [more] | CAS2022-52 MSS2022-35 pp.71-74 |
| CAS, MSS, IPSJ-AL [detail] | 2022-11-18 13:45 |
Kochi | (Primary: On-site, Secondary: Online) |
Propagation of the Impact of Model Poisoning Attack on Wireless Ad Hoc Federated Learning Naoya Tezuka, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-53 MSS2022-36 |
[more] | CAS2022-53 MSS2022-36 pp.75-78 |
| CAS, MSS, IPSJ-AL [detail] | 2022-11-18 14:05 |
Kochi | (Primary: On-site, Secondary: Online) |
Unsupervised Representation Learning over Decentralized Federated Learning Haruki Sakurai, Hideya Ochiai, Hiroshi Esaki (Univ. Tokyo) CAS2022-54 MSS2022-37 |
Contrastive Learning is a form of self-supervised learning, a method for learning a general-purpose encoder using a larg... [more] | CAS2022-54 MSS2022-37 pp.79-82 |
| CAS, MSS, IPSJ-AL [detail] | 2022-11-18 14:25 |
Kochi | (Primary: On-site, Secondary: Online) |
How to decide threshold value in anomaly detection using Wireless Ad hoc Federated Learning and Autoencoder Riku Nishihata, Hideya Ochial, Hiroshi Esaki (Univ. Tokyo) CAS2022-55 MSS2022-38 |
Machine learning requires a lot of data, but from the perspective of privacy and security, new learning methods without ... [more] | CAS2022-55 MSS2022-38 pp.83-86 |
| ICSS | 2021-11-29 15:25 |
Kochi | KOCHIJYO HALL (Primary: On-site, Secondary: Online) |
Masquerade Detection using command log of Honeypot Ryusei Higuchi, Hideya Ochiai, Hiroshi Esaki (UTokyo) ICSS2021-51 |
A masquerade attack is an attack in which an attacker impersonates a legitimate user and invades the system. In order to... [more] | ICSS2021-51 pp.31-36 |
| ICSS | 2021-11-29 15:50 |
Kochi | KOCHIJYO HALL (Primary: On-site, Secondary: Online) |
A SDN-based Honeypot System: Attracting Suspicious Traffic in Local Area Networks Koki Ito, Hideya Ochiai, Esaki Hiroshi (The Univ. of Tokyo) ICSS2021-52 |
With the increasing informatization of society, attacks via networks are increasing and diversifying, and the need for s... [more] | ICSS2021-52 pp.37-42 |
| ICSS | 2021-11-29 16:15 |
Kochi | KOCHIJYO HALL (Primary: On-site, Secondary: Online) |
Automating the collection of malware behavior captured by honeypots Eisuke Tomiyama, Hideya Ochiai, Hiroshi Esaki (UTokyo) ICSS2021-53 |
A honeypot is a system that exposes vulnerable systems to cyber attacks on the Internet. They are used to analyze the at... [more] | ICSS2021-53 pp.43-48 |
| ICSS | 2021-11-30 10:20 |
Kochi | KOCHIJYO HALL (Primary: On-site, Secondary: Online) |
Monitoring IPv6 packets by dynamic routing in a LAN configured with IPv4 Yuki Yagi, Hideya Ochiai, Hiroshi Esaki (the Univ. of Tokyo) ICSS2021-56 |
With IPv4 address exhaustion, the transition to IPv6 has been progressing in recent years, but the security measures for... [more] | ICSS2021-56 pp.61-66 |
| ICSS | 2021-11-30 10:45 |
Kochi | KOCHIJYO HALL (Primary: On-site, Secondary: Online) |
Detection of spoofing attacks in RS-485/Modbus communication by non-contact current measurement Tatsuya Arisawa, Hideya Ochiai, Hiroshi Esaki (Tokyo Univ.) ICSS2021-57 |
[more] | ICSS2021-57 pp.67-72 |
| MSS, CAS, IPSJ-AL [detail] | 2021-11-18 09:00 |
Online | Online | Design and Implementation of a Distributed Building Control Simulator for Federated Learning Shugo Fujimura, Koki Fujita, Yuwei Sun, Hiroshi Esaki, Hideya Ochiai (UTokyo) CAS2021-37 MSS2021-17 |
Toward a sustainable society in the 2050s, zero-energy buildings have been proposed, which consume virtually no energy b... [more] | CAS2021-37 MSS2021-17 pp.1-6 |
| MSS, CAS, IPSJ-AL [detail] | 2021-11-18 09:25 |
Online | Online | A Proposal of the Control Method for Multiple Buildings with AI Techiques Koki Fujita, Shugo Fujimura, Yuwei Sun, Hiroshi Esaki, Hideya Ochiai (UTokyo) CAS2021-38 MSS2021-18 |
In recent years, the use of AI techniques for controlling building facilities has begun to be proposed. In the future, b... [more] | CAS2021-38 MSS2021-18 pp.7-12 |
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