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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ICTSSL, CAS | 2022-01-21 10:15 |
Online | Online | A Consideration of Methods for Improving Real-Time Responses in Crowdsourcing Ryuya Itano (Doshisha Univ.), Kantaro Mera, Takahiro Koita (Graduate School of Doshisha Univ.)  CAS2021-62 ICTSSL2021-39 |
In recent years, surveillance cameras with high image quality have become widely available at low prices. There is a nee... [more] | CAS2021-62 ICTSSL2021-39 pp.46-51 |
| PRMU | 2021-12-16 17:00 |
Online | Online | Evaluation of CNNs with Narrow Receptive Fields in Crowd Counting Junya Uchida, Yu Wang, Jien Kato (Ritsumeikan Univ.) PRMU2021-43 |
Density map estimation for crowd counting means to estimate the number of people by regressing a two-dimensional density... [more] | PRMU2021-43 pp.101-106 |
| RISING (3rd) |
2021-11-16 11:30 |
Tokyo | (Primary: On-site, Secondary: Online) |
Throughput Prediction by Radio Environment Correlation Recognition Using Crowd Sensing and Federated Learning Satoshi Nakaniida, Takeo Fujii (UEC) |
We propose an approach using federated learning for predicting Wi-Fi and LTE transmission control protocol (TCP) through... [more] | |
| SITE, ISEC, LOIS | 2021-11-12 13:00 |
Online | Online | A Revocable Anonymous Reputation System for Crowd Sensing Haruki Kobayashi, Toru Nakanishi, Teruaki Kitasuka (Hiroshima Univ.) ISEC2021-41 SITE2021-35 LOIS2021-24 |
In crowdsensing, since the data gathered by the server includes user's GPS locations and moving paths, the anonymity of ... [more] | ISEC2021-41 SITE2021-35 LOIS2021-24 pp.1-6 |
| SR | 2021-11-05 11:15 |
Online | Online | Throughput Prediction by Radio Environment Correlation Recognition Using Crowd Sensing and Federated Learning Satoshi Nakaniida, Takeo Fujii (UEC) SR2021-53 |
We propose an approach using federated learning for predicting Wi-Fi and LTE transmission control protocol (TCP) through... [more] | SR2021-53 pp.72-78 |
| HCS | 2021-08-22 10:05 |
Online | Online | A Study on Performance Feedback and Bonus Payment in Crowdsourcing Services Yoshinori Hijikata (KGU) HCS2021-25 |
In recent years, crowdsourcing services have been used to diversify work styles of people and improve work efficiency in... [more] | HCS2021-25 pp.45-50 |
| SP, IPSJ-SLP, IPSJ-MUS | 2021-06-18 15:00 |
Online | Online | Speech Intelligibility Experiments using crowdsourcing
-- from designing Web page to Data screening -- Ayako Yamamoto, Toshio Irino (Wakayama Univ.), Kenichi Arai, Shoko Araki, Atsunori Ogawa, Keisuke Kinoshita, Tomohiro Nakatani (NTT) SP2021-5 |
Many subjective experiments have been performed to develop objective speech intelligibility measures, but the novel coro... [more] | SP2021-5 pp.25-30 |
| MVE, ITE-HI, VRSJ | 2021-06-02 10:50 |
Online | Online | Visualization of Visit Motivation Based on Kansei Value Structure and Attractiveness of Tourism Resource:
-- Toward Attracting Inbound Visitors Based on Ako Salt, a Japan Heritage -- Tomomi Hatano, Tomomi Takezawa, Masashi Sugimoto, Xu Kuangzhe, Takashi Morikawa, Yasuhiro Azuma, Kazuo Shibuta, Noriko Nagata (Kwansei Gakuin Univ.) MVE2021-3 |
We focused on what people consider important in tourism. 50 Japanese adults were asked to rate the importance of each of... [more] | MVE2021-3 pp.13-18 |
| SR | 2021-05-20 10:50 |
Online | Online | Statistic Sample Size Determination for Average Received Signal Power Using Statistical Inference Keita Katagiri, Takeo Fujii (UEC) SR2021-3 |
Nowadays, a crowdsourcing-assisted radio map has attracted attention. In crowdsourcing, distributed mobile terminals obs... [more] | SR2021-3 pp.16-23 |
| IN, NS (Joint) |
2021-03-05 15:30 |
Online | Online | Managing Scores of Crowdsourcing Workers Using Blockchain Kenta Konomi, Noriaki Kamiyama (Fukuoka Univ.) NS2020-172 |
In recent years，services using crowdsourcing have attracted a wide attention. However, in the crowdsourcing, a single se... [more] | NS2020-172 pp.293-298 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 14:05 |
Online | Online | [Poster Presentation]
Comparison of speech intelligibility results between laboratory and crowd-sourcing experiments Ayako Yamamoto, Toshio Irino (Wakayama Univ.), Kenichi Arai, Shoko Araki, Atunori Ogawa, Keisuke Kinoshita, Tomohiro Nakatani (NTT) EA2020-73 SIP2020-104 SP2020-38 |
Many subjective experiments have been performed to develop objective speech intelligibility measure. But COVID-19 has ma... [more] | EA2020-73 SIP2020-104 SP2020-38 pp.79-84 |
| MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-01 10:45 |
Online | Online | Verifying the Effectiveness of Behavioural Economics in Video Quality Evaluation Using Crowdsourcing Shota Eirai (Waseda Univ.), Kyoko Yamori (Asahi Univ.), Yoshiaki Tanaka (Waseda Univ.) CQ2020-108 |
It is possible to evaluate the Quality of Experience (QoE) in various environments by using crowdsourcing. An unspecifi... [more] | CQ2020-108 pp.6-9 |
| SRW, SeMI, CNR (Joint) |
2020-11-27 16:45 |
Online | Online | [Invited Lecture]
itocon: Bus Stop Congestion Visualizing System with Multiple Congestion Sensors Shunei Inoue, Ryo Takahashi, Kenta Hayashi, Yudai Mitsukude, Masanori Futamata, Shuta Matsuo, Shigemi Ishida, Yutaka Arakawa, ShigeruTakano (Kyushu Univ.) SeMI2020-42 |
Kyushu University Ito Campus is the biggest campus in Japan where more than 20,000 students andstaff are enrolled. About... [more] | SeMI2020-42 p.107 |
| RCS, AP, UWT (Joint) |
2020-11-27 16:05 |
Online | Online | Human Blockage Loss Characteristics of 5 GHz in A Crowded Stadium Motoharu Sasaki, Toshiro Nakahira, Keisuke Wakao, Takatsune Moriyama (NTT) AP2020-94 |
This paper reports on human body blockage loss characteristics based on measurement results under unoccupied and crowded... [more] | AP2020-94 pp.112-117 |
| LOIS, ISEC, SITE | 2020-11-06 11:20 |
Online | Online | Speeding Up a Revocable Group Signature Scheme for Crowdsensing Yuto Nakazawa, Toru Nakanishi (Hiroshima Univ.) ISEC2020-34 SITE2020-31 LOIS2020-14 |
In crowdsensing, many users carrying mobile terminals send environmental data and congestion status to the server togeth... [more] | ISEC2020-34 SITE2020-31 LOIS2020-14 pp.13-18 |
| LOIS | 2020-03-12 13:45 |
Okinawa | Nobumoto Ohama Memorial Hall (Cancelled but technical report was issued) |
Mobile Sensing of Pedestrian Mobility and its Assessment Chenwei Song, Masaki Ito, Yuuki Nishiyama, Kaoru Sezaki (Univ.Tokyo) LOIS2019-77 |
We propose a client-server system that provides crowd detection and mobility information. Our proposed system has the ad... [more] | LOIS2019-77 pp.121-126 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 15:00 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
A Study on Video Quality Design Considering User Attributes Tatsuya Nagata, Tomoki Mae, Takanori Hayashi (HIT) CQ2019-156 |
To provide video delivery services with comfortable quality, it is important to design applications and networks based o... [more] | CQ2019-156 pp.113-117 |
| NS, IN (Joint) |
2020-03-06 09:50 |
Okinawa | Royal Hotel Okinawa Zanpa-Misaki (Cancelled but technical report was issued) |
A Study on Reaction-diffusion based Adaptive Incentive Control for Vehicular Crowd Sensing Yushi Sugawara, Hiroki Akitaya, Yukio Ogawa, Kaoru Ota, Mianxiong Dong (Muroran-IT) IN2019-106 |
Vehicles can be regarded as a mobile crowd sensing platform for gathering environmental information. Because environment... [more] | IN2019-106 pp.165-170 |
| SeMI | 2020-01-30 14:50 |
Kagawa | Considering Reward-Based Allocation Strategies in Multiple Crowdsensing Yoshiki Amano, Osamu Mizuno (Kogkuin Univ) SeMI2019-101 |
Crowd sensing is useful to monitor wide-area data, such as environmental conditions, traffic conditions. It uses sensors... [more] | SeMI2019-101 pp.11-16 |
|
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Analysis and Subjective Labeling for Emotional Speech Database JTES Mai Yamanaka, Takashi Nose, Yuya Chiba, Akinori Ito (Tohoku Univ.) SP2019-39 |
We have constructed JTES, a prosodic balanced emotional speech database containing 50 sentences of 4 emotions of 50 men ... [more] | SP2019-39 pp.61-66 |
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