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Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI 2020-01-30
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
Hiroshima Satellite Campus Hiroshima Optimal pricing method of incentives considering quality in crowdsensing
Yoshiki Amano, Osamu Mizuno (Kogakuin Univ.) IN2019-57
 [more] IN2019-57
Tokyo Tokyo Metropolitan Univ. Incentive mechanism taking into account the quality of data and coverage in crowd sensing
Yoshiki Amano, Osamu Mizuno, Bo Gu (Kogakuin Univ) CQ2018-78
 [more] CQ2018-78
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