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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IN, NS (Joint) |
2023-03-03 10:30 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Optimum Worker Sampling in Crowdsecsing with Multiple Areas Chihiro Matsuura, Noriaki Kamiyama (Ritsumeikan Univ.)  NS2022-218 |
The use of mobile crowdsensing (MCS), in which sensing data measured by mobile devices equipped with high-performance se... [more] | NS2022-218 pp.292-297 |
| NS, IN (Joint) |
2022-03-11 09:10 |
Online | Online | Optimal Poisoning Attacks on Crowdsensing at Multiple Locations Rin Fujimoto (Fukuoka Univ), Noriaki Kamiyama (Ritsumeikan Univ) NS2021-138 |
Recently, crowdsensing using mobile devices has gathered wide attention as a way to estimate various environmental data ... [more] | NS2021-138 pp.91-96 |
| 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 |
| 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 |
| 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 |
|
| ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] | 2019-07-23 13:35 |
Kochi | Kochi University of Technology | A Revocable Group Signature Scheme with Strong Anonymity for Crowdsensing Yuto Nakazawa, Toru Nakanishi (Hiroshima Univ.) ISEC2019-22 SITE2019-16 BioX2019-14 HWS2019-17 ICSS2019-20 EMM2019-25 |
In crowdsensing, many users carrying mobile terminals send environmental data and congestion status to the server togeth... [more] | ISEC2019-22 SITE2019-16 BioX2019-14 HWS2019-17 ICSS2019-20 EMM2019-25 pp.107-112 |
| RCS, SR, SRW (Joint) |
2019-03-06 15:40 |
Kanagawa | YRP | [Invited Lecture]
Spectrum Sharing based on Radio Environment Map: Theory and Open Issues Koya Sato (Tokyo Univ. of Science) SR2018-127 |
This paper summarizes the radio environment map (REM) for spatial spectrum sharing. REM contains spatial distribution of... [more] | SR2018-127 pp.43-49 |
| ASN, MoNA, IPSJ-MBL, IPSJ-UBI [detail] | 2019-03-05 09:40 |
Tokyo | The University of Tokyo, Komaba Campus | Reward-based Allocation for Mobile Crowdsensing in Real-time Prediction of Spatial Information Rieko Takagi, Yuichi Inagaki, Ryoichi Shinkuma (Kyoto Univ.), Fatos Xhafa (UPC), Takehiro Sato, Eji Oki (Kyoto Univ.) MoNA2018-72 |
Real-time prediction of spatial information has attracted a lot of attention as a potential solution to social problems ... [more] | MoNA2018-72 pp.53-58 |
| IN, NS (Joint) |
2019-03-04 11:10 |
Okinawa | Okinawa Convention Center | A proposal of mobile crowdsensing application using blockchain technology Akihiro Fujihara (CIT) IN2018-96 |
Mobile crowdsensing is a method to collectively gather and share local data with the help of a large number of anonymo... [more] |
IN2018-96 pp.73-78 |
| SR | 2019-01-24 15:45 |
Fukushima | Corasse, Fukushima city (Fukushima prefecture) | On the Radio Environment Map Construction using Neural Network Residual Kriging Koya Sato (TUS), Kei Inage (TMCIT), Takeo Fujii (UEC) SR2018-106 |
In this paper, we discuss the performance of feedforward neural network (FFNN) in radio environment map (REM) constructi... [more] | SR2018-106 pp.63-70 |
| SR | 2018-01-26 10:55 |
Fukuoka | Fukuoka univ. | A Calibration Method for Crowdsensing Based Radio Environment Database Miho Ito, Keita Onose, Koya Sato (UEC), Kei Inage (TMCIT), Takeo Fujii (UEC) SR2017-103 |
In spectrum sharing with cognitive radio, radio environment estimation is essential to secure quality of unlicensed user... [more] | SR2017-103 pp.57-62 |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Differential Privacy on Linear Regression Model of Crowdsensing Tran Quang Khai, Kazuto Fukuchi, Jun Sakuma (Univ. of Tsukuba) IBISML2014-47 |
Learning statistic models using the data collected from crowd is one of the important tasks in the crowdsensing. Crowdse... [more] | IBISML2014-47 pp.95-102 |
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