Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-03-01 09:30 |
Okinawa |
(Primary: On-site, Secondary: Online) |
SELECTING N-LOWEST SCORES FOR TRAINING MOS PREDICTION MODELS Yuto Kondo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko (NTT) EA2023-94 SIP2023-141 SP2023-76 |
Automatic speech quality assessment (SQA) is a task to evaluate the quality of speech samples without resorting to time-... [more] |
EA2023-94 SIP2023-141 SP2023-76 pp.196-201 |
SeMI |
2024-01-19 11:05 |
Yamanashi |
Raki House Kaiji |
5G throughput prediction for 28GHz cell area using surrounding spatial information Hisashi Nagata, Riichi Kudo, kahoko takahashi, Fujita Takafumi (NIPPON TELEGRAPH AND TELEPHONE CORPORATION), Yuya Aoki, Morihiro Yoshifumi (NTT DOCOMO, INC.) SeMI2023-67 |
Every thing is connected to the network, and the amount of mobile traffic is increasing year by year. Therefore, the use... [more] |
SeMI2023-67 pp.94-99 |
AP |
2023-10-20 11:30 |
Iwate |
Iwate University (Primary: On-site, Secondary: Online) |
[Tutorial Lecture]
Wireless link quality prediction using spatial information Riichi Kudo, Kahoko Takahashi, Hisashi Nagata, Tomoya Kageyama (NTT) AP2023-124 |
The development of wireless communication technologies is accelerating to widespread the various connected devices and e... [more] |
AP2023-124 pp.139-140 |
MIKA (3rd) |
2023-10-10 15:35 |
Okinawa |
Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Assessment of a Collaborative Infrastructure Platform Enabling Stable Wireless Communication through Quality Prediction-Based Multipath Connectivity
-- Considerations on Remote Monitoring for Autonomous Vehicles -- Takehiro Fujinaga, Mika Mori, Taichi Kawano, Takuya Tojo (NTT) |
Due to legal amendments, Level 4 autonomous driving enabling driverless operation has been officially permitted in Japa... [more] |
|
CQ, MIKA (Joint) (2nd) |
2023-08-31 10:50 |
Fukushima |
Tenjin-Misaki Sports Park |
[Poster Presentation]
Study on the Effectiveness of Building TCP Throughput Prediction Model using Federated Learning Han Nay Aung, Hiroyuki Ohsaki (Kwansei Gakuin Univ) |
In the realm of communication networks, ensuring accurate forecasts for the performance of TCP flows is essential to ach... [more] |
|
SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS |
2023-05-19 09:15 |
Okinawa |
Okinawa Institute of Science and Technology (OIST) (Primary: On-site, Secondary: Online) |
An experimental evaluation of millimeter-wave link quality prediction using Wi-Fi CSI and supervised learning Shoki Ohta, Kanare Kodera, Takayuki Nishio (Tokyo Tech) SeMI2023-10 |
This study experimentally evaluates our 60 GHz band millimeter-wave (mmWave) link quality prediction method using 5 GHz ... [more] |
SeMI2023-10 pp.42-45 |
NC, NLP |
2023-01-29 15:55 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Indoor air quality prediction using multi-reservoir echo state network with attention mechanism Wenrui Qiu, Gouhei Tanaka (UTokyo) NLP2022-106 NC2022-90 |
Indoor air quality (IAQ) is a critical matter of concern in terms of its impact on public health and well-being. Researc... [more] |
NLP2022-106 NC2022-90 pp.135-140 |
KBSE |
2023-01-20 13:45 |
Ishikawa |
(Primary: On-site, Secondary: Online) |
Toward Analyzing OSS Developers Contributing to the Removal of Technical Debt in Multiple Projects Junya Hishikawa, Daisuke Fukumoto, Soratouch Pornmaneerattanatri, Yutaro Kashiwa, Toshiki Hirao (NAIST), Kenji Fujiwara (TCU), Hajimu Iida (NAIST) KBSE2022-52 |
In recent years, it has been reported that a large amount of technical debt in systems hinders Digital Transformation (D... [more] |
KBSE2022-52 pp.52-57 |
SeMI, SeMI (Joint) |
2023-01-19 17:25 |
Tokushima |
Naruto grand hotel (Primary: On-site, Secondary: Online) |
[Short Paper]
An Empirical Study of Data Reduction Method for Point Cloud-based Millimeter-wave Link Quality Prediction Shoki Ohta, Takayuki Nishio (Tokyo Tech), Riichi Kudo, Kahoko Takahashi, Hisashi Nagata (NTT) SeMI2022-93 |
This study experimentally evaluates a tradeoff between prediction accuracy and the number of points on a millimeter-wave... [more] |
SeMI2022-93 pp.96-100 |
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) |
CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 15:55 |
Online |
Online (Zoom) |
Model selection for link quality prediction based on physical space information Hisashi Nagata, Riichi Kudo, Kahoko Takahashi, Tomoaki Ogawa (NTT) CQ2021-106 |
With the development of wireless communication technology, it is expected that all things will be connected to the netwo... [more] |
CQ2021-106 pp.31-36 |
RCS, SIP, IT |
2022-01-20 15:10 |
Online |
Online |
[Invited Talk]
Wireless link quality prediction using physical space information in Society 5.0 Riichi Kudo, Kahoko Takahashi, Hisashi Nagata, Tomoki Murakami, Tomoaki Ogawa (NTT) IT2021-44 SIP2021-52 RCS2021-212 |
Thanks to the great advances in wireless communication systems, many types of the wireless terminals are available. It i... [more] |
IT2021-44 SIP2021-52 RCS2021-212 pp.93-94 |
CQ, MIKA (Joint) |
2021-09-10 10:40 |
Online |
Online |
Link Quality Prediction using Multiple cameras in Indoor Environment for Wireless LAN Systems Kahoko Takahashi, Riichi Kudo, Tomoaki Ogawa (NTT) CQ2021-53 |
This paper proposes a received power prediction scheme that uses deep-neural-network based camera image object detection... [more] |
CQ2021-53 pp.77-81 |
SeMI, IPSJ-MBL, IPSJ-UBI [detail] |
2021-03-02 10:50 |
Online |
Online |
A Proposal for Location Predictive V2V Routing Considering Link Quality Masahiro Nishioka, Michiko Harayama (Gifu Univ) SeMI2020-64 |
VANETs, the automotive IoT networks, are currently drawing attention to reducing accidents and improving vehicle conveni... [more] |
SeMI2020-64 pp.35-40 |
SIP, IT, RCS |
2021-01-22 12:30 |
Online |
Online |
Deep Learning based Link Quality Prediction for Autonomous Mobility Robots Riichi Kudo, Kahoko Takahashi, Tomoki Murakami, Tomoaki Ogawa (NTT) IT2020-102 SIP2020-80 RCS2020-193 |
Highly advanced mobility robots are expected to be managed, monitored, or efficiently controlled by using wireless commu... [more] |
IT2020-102 SIP2020-80 RCS2020-193 pp.218-223 |
RCS, SR, SRW (Joint) |
2020-03-04 09:00 |
Tokyo |
Tokyo Institute of Technology (Cancelled but technical report was issued) |
R&D of Technology for High Reliability Management of Advanced 5G Network to Various Requirements of Communication Services Takahide Murakami, Hiroyuki Shinbo, Yu Tsukamoto, Shinobu Nanba, Yoji Kishi (KDDI Research), Morihiko Tamai, Hiroyuki Yokoyama (ATR), Takanori Hara, Koji Ishibashi (The University of Electro-Communications), Kensuke Tsuda, Yoshimi Fujii (Kozo Keikaku Engineering Inc.), Fumiyuki Adachi, Keisuke Kasai, Masataka Nakazawa (Tohoku Univ.), Yuta Seki, Takayuki Sotoyama (Panasonic) RCS2019-320 |
As the 5th generation mobile communication system is widespread approximately 2025, more variety of communication qualit... [more] |
RCS2019-320 pp.1-6 |
MIKA (2nd) |
2019-10-03 11:15 |
Hokkaido |
Hokkaido Univ. |
[Poster Presentation]
Vision information based wireless link quality prediction Kahoko Takahashi, Riichi Kudo, Takeru Inoue, Kohei Mizuno (NTT) |
The advancement of wireless communication technologies is accelerating the widespread use of the various connected devic... [more] |
|
CQ |
2019-08-27 16:15 |
Hokkaido |
Hakodate arena |
[Invited Talk]
Potentiality of machine learning based next generation wireless communication systems for smart connected devices Riichi Kudo, Kahoko Takahashi, Takeru Inoue, Kohei Mizuno (NTT) CQ2019-72 |
The connected devices which are autonomously operated need to recognize its position and surrounding environment by usin... [more] |
CQ2019-72 pp.79-84 |
ASN, NS, RCS, SR, RCC (Joint) |
2018-07-11 13:35 |
Hokkaido |
Hakodate Arena |
Throughput Prediction Method based on machine learning in Mobile Networks Bo Wei, kenji Kanai, Wataru Kawakami, Jiro Katto (Waseda Univ.) NS2018-42 |
Throughput prediction is essential for providing high quality of service for video streaming transmissions. In this pape... [more] |
NS2018-42 pp.31-36 |
ASN, NS, RCS, SR, RCC (Joint) |
2018-07-12 10:55 |
Hokkaido |
Hakodate Arena |
[Poster Presentation]
Deep Learning Based RSS Prediction Using RGB-D Camera for mmWave Communications Kota Nakashima, Yusuke Koda, Koji Yamamoto, Hironao Okamoto, Takayuki Nishio, Masahiro Morikura (Kyoto Univ.) RCC2018-37 NS2018-50 RCS2018-95 SR2018-34 ASN2018-31 |
This paper experimentally finds the optimum number of input images of a machine learning-based mmWave received signal st... [more] |
RCC2018-37 NS2018-50 RCS2018-95 SR2018-34 ASN2018-31 pp.75-76(RCC), pp.81-82(NS), pp.93-94(RCS), pp.85-86(SR), pp.91-92(ASN) |