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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PN | 2024-11-19 14:45 |
Oita | (Primary: On-site, Secondary: Online) |
Root Cause Analysis of Failures in Communication Services Provided over Optical Transport Networks Kohei Shiomoto (TCU)  PN2024-35 |
Telecom carriers construct nation-wide network systems consisting of IP networks on top of optical transport networks, a... [more] | PN2024-35 pp.41-48 |
| PN | 2024-08-26 11:20 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Research Trends on Massively Parallel Computing Infrastructure for Deep Learning Kohei Shiomoto (TCU) PN2024-17 |
In recent years, data centers have built large-scale GPU clusters consisting of thousands of GPUs for deep learning. Whi... [more] | PN2024-17 pp.21-28 |
| NS, PN, OCS (Joint) |
2024-06-07 09:25 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Implementation of NVMe over TCP using SPDK and Its Performance Measurement Tatsuki Oyama, Kohei Shiomoto (TCU) PN2024-12 |
Generative artificial intelligence has attracted a great deal of attention in recent years, and there is an emerging nee... [more] | PN2024-12 pp.28-35 |
| PN, NS, OCS (Joint) |
2023-06-09 13:00 |
Kagawa | (Primary: On-site, Secondary: Online) |
Arachtecture separating storage and computing based on NVMe over Fabrics Tomoya Takahashi, Kohei Shiomoto (TCU) PN2023-11 |
A paradigm shift toward dis-aggregated computing, where computing resources such as CPU, memory, and storage are realize... [more] | PN2023-11 pp.40-47 |
| CS, CQ (Joint) |
2023-05-18 15:10 |
Kagawa | Rexxam Hall (Kagawa Kenmin Hall) (Primary: On-site, Secondary: Online) |
On the performance of sorting out invalid jobs in scheduling using the policy gradient method for deadline-aware jobs Tatusya Sagisaka, Kohei Shiomoto (TCU), Takashi Kurimoto (NII) CQ2023-1 |
When transferring data in the field of communication between data centers, existing methods such as Earliest Deadline Fi... [more] | CQ2023-1 pp.1-6 |
| EMCJ, MICT (Joint) |
2023-03-17 13:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg (Primary: On-site, Secondary: Online) |
Effectiveness of FineTuning with ViT in Medical Imaging Yuki Shibuya, Kuniki Imagawa, Kohei Shiomoto (TCU) MICT2022-56 |
[more] | MICT2022-56 pp.1-5 |
| SRW, SeMI, CNR (Joint) |
2022-11-25 15:05 |
Tochigi | Epinard Nasu (Primary: On-site, Secondary: Online) |
[Poster Presentation]
A Prototype of IoT-based River Flood Monitoring and Evaluation
-- MQTT Brokers Connected in Tandem -- Yoshiyuki Shinji, Kohei Shiomoto (TCU) SRW2022-33 SeMI2022-68 CNR2022-26 |
The developing countries in Southeast Asia are constantly exposed to the risk of river floods during typhoons and cyclon... [more] | SRW2022-33 SeMI2022-68 CNR2022-26 pp.54-57(SRW), pp.70-73(SeMI), pp.39-42(CNR) |
| IA, ICSS | 2022-06-23 13:55 |
Nagasaki | Univ. of Nagasaki (Primary: On-site, Secondary: Online) |
Decentralized Identifier and Access Control based Architecture for Privacy-Sensitive Data Distribution Service Reiya Oku, Kohei Shiomoto (Tokyo City Univ.), Yoshihiro Ohba (Kioxia) IA2022-3 ICSS2022-3 |
[more] | IA2022-3 ICSS2022-3 pp.15-18 |
| ICM | 2021-07-15 16:40 |
Online | Online | [Special Talk]
Report on IEEE International Conference on Network Softwarization (NetSoft) 2021 Kohei Shiomoto (TCU) ICM2021-14 |
International Conference on Network Softwarization (NetSoft) is a flagship conference aiming at addressing the “Softwari... [more] | ICM2021-14 pp.22-27 |
| PN | 2020-08-25 10:50 |
Online | Online | Policy Gradient-based Deep Reinforcement Learning for Deadline-aware Data Transfer over Wide Area Networks Masaki Notoya, Kohei Shiomoto (Tokyo City Univ.), Takashi Kurimoto (NII) PN2020-21 |
Deadline-aware job scheduling problems have been attracting attention in the application domains of scientific workflows... [more] | PN2020-21 pp.49-56 |
| ICM | 2020-07-17 09:25 |
Online | Online | Study on which data we should label in a few-shot learning for service identification over encrypted web services Shouta Yoshida, Yutaka Eguchi, Kohei Shiomoto (TCU) ICM2020-14 |
It is very important to monitor and control the communication traffic to cope with the increasing communication traffic... [more] |
ICM2020-14 pp.37-42 |
| PN | 2020-03-03 09:00 |
Kagoshima | (Cancelled but technical report was issued) |
Research of Scheduling Method Considering Traffic-Characteristics for Data Center Wide Area Network(DC-WAN) Takashi Arakawa, Kohei Shiomoto (TCU), Takashi Kurimoto (NII) PN2019-61 |
Recent years, the demand for efficient use of Data-Center Wide Area Network (DC-WAN) is increasing. Since delay affects... [more] |
PN2019-61 pp.51-58 |
| SR | 2019-12-05 13:50 |
Okinawa | Ishigaki City Hall (Ishigaki Island) | [Poster Presentation]
Quality state analysis of eNodeB log data by semi-supervised learning using Self training Shouta Yoshida (TCU), Atsushi Morohoshi (Fujitsu Fsas), Kohei Shiomoto (TCU), Chin Lam Eng, Sebastian Backstad (Ericsson Japan) SR2019-92 |
In an LTE network where traffic is increasing year by year. It is important to quickly find the cause when a failure occ... [more] | SR2019-92 pp.29-36 |
| NS, ICM, CQ, NV (Joint) |
2019-11-21 12:10 |
Hyogo | Rokkodai 2nd Campus, Kobe Univ. | Study on Reduction of Inconsistency between SDN Controllers Considering Traffic Fluctuation Masaru Kosugi, Kohei Shiomoto (Tokyo City Univ.) ICM2019-23 |
In a large-scale network, centralized control of all network devices with a single SDN controller is undesirable because... [more] | ICM2019-23 pp.13-18 |
| PN | 2019-08-26 10:40 |
Hokkaido | Kanpo-No-Yado Otaru | Survey on Topology Design and Traffic Measurement in Datacenter Networks Kohei Shiomoto (TCU) PN2019-12 |
We survey research papers on topology design and traffic measurement in data center networks. We categorize the research... [more] | PN2019-12 pp.9-16 |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 15:00 |
Osaka | I-Site Nanba（Osaka） | Deep learning-based classification for the automatic of eNodeB state management in LTE networks Kazuki Hara (Tsukuba Univ.), Kohei Shiomoto (TCU), Chin Lam Eng, Sebastian Backstad (Ericsson Japan) RCC2019-41 NS2019-77 RCS2019-134 SR2019-53 SeMI2019-50 |
It is crucial to identify the cause immediately when a failure occurs at base station of mobile communication. However, ... [more] | RCC2019-41 NS2019-77 RCS2019-134 SR2019-53 SeMI2019-50 pp.145-150(RCC), pp.171-176(NS), pp.167-172(RCS), pp.177-182(SR), pp.159-164(SeMI) |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 15:25 |
Osaka | I-Site Nanba（Osaka） | Few-shot Learning based on Prototypical Network to Understand Area Service Level in LTE Networks Shogo Aoki (Waseda Univ.), Kohei Shiomoto (TCU), Chin Lam Eng, Sebastian Backstad (Ericsson Japan) RCC2019-42 NS2019-78 RCS2019-135 SR2019-54 SeMI2019-51 |
In case a base station in mobile network malfunction, it is crucial to classify a service degradation event and identify... [more] | RCC2019-42 NS2019-78 RCS2019-135 SR2019-54 SeMI2019-51 pp.151-156(RCC), pp.177-182(NS), pp.173-178(RCS), pp.183-188(SR), pp.165-170(SeMI) |
| IN, NS (Joint) |
2019-03-04 09:00 |
Okinawa | Okinawa Convention Center | Intrusion Detection System using semi-supervised learning with Adversarial Autoencoder Kazuki Hara, Kohei Shiomoto (Tokyo City Univ.) NS2018-193 |
In recent years the importance of intrusion detection system(IDS) is increasing. In particular, a method using machine l... [more] | NS2018-193 pp.1-6 |
| ASN, NS, RCS, SR, RCC (Joint) |
2018-07-12 09:55 |
Hokkaido | Hakodate Arena | Attack classification method using neural network by analysis of log data of intrusion detection system and investigation for improvement of accuracy Tsukasa Mannen, Kohei Shiomoto (TCU) SR2018-31 |
In this paper, we focus on the Intrusion Detection System (IDS) and examine the accuracy of attack and non-attack classi... [more] | SR2018-31 pp.65-72 |
| NS, IN (Joint) |
2018-03-01 10:00 |
Miyazaki | Phoenix Seagaia Resort | Study on QoE management method of browsing and streaming Web services Keisuke Abe, Takumi Kyono, Kohei Shiomoto (TCU) NS2017-178 |
Web pages in recent years have been realized using HTML, CSS, JavaSctipt, it is important to grasp the quality of servic... [more] | NS2017-178 pp.61-65 |
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