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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS, NS (Joint) |
2022-12-15 15:00 |
Aichi | Nagoya Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Multi-Radio Proactive Control Technologies (Cradio) Kenichi Kawamura, Motoharu Sasaki, Toshirou Nakahira, Naoki Shibuya, Daisuke Murayama, Takatsune Moriyama (NTT)  NS2022-137 RCS2022-194 |
In the Beyond 5G/6G era, wireless access will require not only the evolution of individual wireless systems but also the... [more] | NS2022-137 RCS2022-194 p.47(NS), p.50(RCS) |
| NS, ICM, CQ, NV (Joint) |
2022-11-24 16:50 |
Fukuoka | Humanities and Social Sciences Center, Fukuoka Univ. + Online (Primary: On-site, Secondary: Online) |
Consideration on Bandwidth Estimation for HTTP-based Adaptive Live Streaming Daichi Hattori, Masaki Bandai (Sophia Univ.) NS2022-113 |
CMAF (Common Media Application Format), which enables low-latency live streaming by dividing video segments into smaller... [more] | NS2022-113 pp.75-78 |
| IA | 2022-11-21 13:55 |
Niigata | Bandai Civic Hall (Niigata) (Primary: On-site, Secondary: Online) |
Massive & Passive RTT Estimation Kaito Sawada (Keio), Ryo Nakamura (UTokyo), Keisuke Uehara (Keio) IA2022-39 |
Quality of Experience (QoE) is important in Internet services, and Round Trip Time (RTT) is one of the indicators. While... [more] | IA2022-39 pp.14-19 |
| RISING (3rd) |
2022-10-31 15:00 |
Kyoto | Kyoto Terrsa (Day 1), and Online (Day 2, 3) | [Poster Presentation]
Measurement error detection by machine learning suitable for QoE based network control Yu Yamaguchi (Kyutech), Yuzo Taenaka (NAIST), Kazuya Tsukamoto (Kyutech) |
With the diversification of applications, network control based on QoE, which can uniformly evaluate application quality... [more] | |
| SeMI, IPSJ-DPS, IPSJ-MBL, IPSJ-ITS | 2022-05-26 13:45 |
Okinawa | (Primary: On-site, Secondary: Online) |
Unsupervised Learning-based Non-invasive Fetal ECG Signal Quality Assessment Xintong Shi, Kohei Yamamoto, Tomoaki Ohtsuki (Keio Univ.), Yutaka Matsui, Kazunari Owada (Atom Medical Co., Ltd.) SeMI2022-4 |
For fetal heart rate (FHR) monitoring, the non-invasive fetal electrocardiogram (FECG) obtained from abdomen surface ele... [more] | SeMI2022-4 pp.15-19 |
| CQ, CS (Joint) |
2022-05-12 15:35 |
Fukui | Fukui (Fuku Pref.) (Primary: On-site, Secondary: Online) |
Study on a Subjective Quality Assessment Method for Multi-service Yuichiro Urata, Noritsugu Egi, Masataka Masuda (NTT) CQ2022-8 |
It is important for telecommunication carriers to monitor and manage quality of communication services they provide, and... [more] | CQ2022-8 pp.38-43 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 17:20 |
Online | Online (Zoom) | QoE Estimation for Variable Bitrate Videos Using Bio-signals Kentaro Oike, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2021-109 |
Our previous study shows that QoE of videos can be estimated by bio-signals while watching around-10-minute variable bit... [more] | CQ2021-109 pp.49-54 |
| 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 |
| RCS, SIP, IT | 2022-01-21 13:55 |
Online | Online | Meta-Bound for Lower Bounds of Bayes Risk Shota Saito (Gunma Univ.) IT2021-82 SIP2021-90 RCS2021-250 |
In the parameter estimation problem of statistics and machine learning, information-theoretic lower bounds of the Bayes ... [more] | IT2021-82 SIP2021-90 RCS2021-250 pp.301-305 |
| CQ, MIKA (Joint) |
2021-09-10 09:30 |
Online | Online | Efficient RPL Tree Construction Using Passive Link Quality Estimation Hiroto Fujita, Yasuyuki Tanaka, Kosuke Mori, Fumio Teraoka (Keio Univ.) CQ2021-50 |
For IIoT (Industrial Internet of Things) networks, RPL (IPv6 Routing Protocol for Low-Power and Lossy Networks) is stand... [more] | CQ2021-50 pp.59-64 |
| HPB (2nd) |
2021-03-03 | Online | Online | Estimation of CO2 Concentration Using MOX Sensors and Neural Network Harunobu Taguchi, Takuya Sano (NITTC), Shinichi Kondo, Koji Takahashi, Yutaka Tamura, Toshimitsu Kitamura (Toshiba Info. Sys. Co.), Shinichiro Mito (NITTC) |
A visualization of indoor environments by measuring CO2 concentration has been attracting attention, because CO2 causes ... [more] | |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-03 11:35 |
Online | Online | Extension of ITU-T Recommendation P.1203 model to Tile-based VR Video Streaming Yuichiro Urata, Msanori Koike, Kazuhisa Yamagishi, Noritsugu Egi (NTT) CQ2020-115 |
Recently, omnidirectional virtual reality (VR) video streaming has become widespread. Since the data size of omnidirecti... [more] | CQ2020-115 pp.38-43 |
| CQ, CS (Joint) |
2020-06-25 14:50 |
Online | Online | [Special Invited Talk]
Capture and Transparency in Perceptual Image Quality Assessment Damon M. Chandler (Shizuoka University) CS2020-6 CQ2020-10 |
Perceptual image and video quality assessment (QA) algorithms aim to estimate the quality of an image/video in a manner ... [more] | CS2020-6 CQ2020-10 p.23(CS), p.49(CQ) |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 09:20 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
A Consideration on Subjective Video Quality Estimation by Using Bio-signals while Watching Video with Smart-phone Takayuki Sakamoto, Wataru Kameyama, Mutumi Suganuma (Waseda Univ) CQ2019-135 |
It has been found by our study that subjective quality or QoE of video can be estimated by using subjects’ bio-signals w... [more] | CQ2019-135 pp.5-10 |
| CQ | 2019-07-18 10:45 |
Niigata | Niigata Univ. | Viewing-abandonment-factor Estimation for Adaptive Bitrate Video Streaming Shoko Takahashi, Kazuhisa Yamagishi (NTT) CQ2019-36 |
Recently, adaptive bitrate video streaming services have spread widely. However, in spite of realizing smoother playbac... [more] | CQ2019-36 pp.19-24 |
| CQ | 2019-07-19 09:30 |
Niigata | Niigata Univ. | An applicability of ITU-T Recommendation P.1203 model to VR video streaming Yuichiro Urata, Masanori Koike, Kazuhisa Yamagishi (NTT) CQ2019-52 |
Recently, omnidirectional video streaming has spread widely, the quality of experience (QoE) monitoring is desirable. Th... [more] | CQ2019-52 pp.79-83 |
| RCS | 2019-06-20 14:25 |
Okinawa | Miyakojima Hirara Port Terminal Building | Data Flow Control based on Available Bandwidth Estimation of Wi-Fi Networks Toru Osuga, Taketoshi Nakajima, Fumiko Ohori, Kenichi Maruhashi, Satoko Itaya, Fumihide Kojima (NICT) RCS2019-75 |
Recently, the utilization of wireless communication becomes essential for manufacturing because improving productivity a... [more] | RCS2019-75 pp.233-238 |
| NS | 2019-04-19 13:00 |
Kagoshima | Tenmonkan Vision Hall | A Study on Network Monitoring Method using In-band Network Telemetry Takayuki Fujiwara, Masayuki Nishiki (NTT), Takashi Kurimoto, Shigeo Urushidani (NII) NS2019-15 |
In-band network telemetry (INT) is a method to monitor communication quality. INT is a technique of giving time stamp in... [more] | NS2019-15 pp.85-90 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 10:20 |
Kagoshima | Kagoshima University | Time-wise QoE Estimation of Video Quality using Multimodal Bio-signals Akio Oishi, Mutsumi Suganuma, Wataru Kameyama (Waseda Univ.) CQ2018-94 |
In various communication services such as video streaming, QoE (Quality of Experience) as the degree of user’s satisfact... [more] | CQ2018-94 pp.13-18 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 15:10 |
Kagoshima | Kagoshima University | A Study on Objective Quality Estimation Model for Tile-based VR Video Streaming Services Masanori Koike, Yuichiro Urata, Kazuhisa Yamagishi (NTT) CQ2018-102 |
In tile-based VR video distribution service with a head-mounted display, users perceive the quality degradation due to w... [more] | CQ2018-102 pp.55-59 |
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