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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 38  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IA, SITE, IPSJ-IOT [detail] 2024-03-13
11:10
Okinawa Miyakojima City Future Creation Center
(Primary: On-site, Secondary: Online)
Analysis of Business Model of Co-Creative Platform for Realizing Digital-Twin City Using Evolutionary Game
Kaito Kondo, Noriaki Kamiyama (Ritsumeikan Univ.) SITE2023-90 IA2023-96
Digital twins that predict various phenomena in the real world by collecting a wide variety of data from the real world ... [more] SITE2023-90 IA2023-96
pp.136-141
NS 2023-10-06
15:20
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
Incentive Mechanism Considering Heterogeneous Privacy Demand Level in Federated Learning with Differential Privacy
Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) NS2023-104
In federated learning, where multiple data owners participate as clients to perform machine learning, each client shares... [more] NS2023-104
pp.162-167
IN, NS
(Joint)
2023-03-03
14:10
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
Considering Safety and Security in Chainless Multi-Layer Consensus
Takaaki Yanagihara, Akihiro Fujihara (CIT) NS2022-240
The diversification of crypto assets in recent years has increased the demand for decentralized finance. In order to rea... [more] NS2022-240
pp.418-423
NS, ICM, CQ, NV
(Joint)
2022-11-24
10:20
Fukuoka Humanities and Social Sciences Center, Fukuoka Univ. + Online
(Primary: On-site, Secondary: Online)
Social Surplus Maximization Using Incentive Mechanism for Cross-Silo Federated Learning with Differential Privacy
Shota Miyagoshi, Takuji Tachibana (Univ. Fukui) NS2022-101
In cross-silo federated learning, where multiple organizations participate, the prediction accuracy of the global model ... [more] NS2022-101
pp.7-12
SC 2022-03-11
16:30
Online EventIn Proposal of a Token Model Selection Method Based on User Loyalty Observation for Realizing Token Economy
Kentaro Watanabe (Hitachi) SC2021-46
The formation of a token economy, which is a unique economic sphere mediated by tokens, is expected to promote service u... [more] SC2021-46
pp.65-70
RISING
(3rd)
2021-11-17
09:00
Tokyo
(Primary: On-site, Secondary: Online)
Proposal of Incentive Mechanism for Cross-Silo Federated Learning with Differential Privacy
Shota Miyagoshi, Takuji Tachibana (Univ. Fukui)
In cross-silo federated learning, where multiple companies/organizations participate, the prediction accuracy of the glo... [more]
SIP, CAS, VLD, MSS 2021-07-05
16:00
Online Online Analysis of the impact of incentive-type demand spons on consumer power saving behavior
Kiyosi Suzumoto, Norihiko Sinomiya (Souka Univ) CAS2021-7 VLD2021-7 SIP2021-17 MSS2021-7
This study focuses on negawatt trading of incentive-type demand spawns in the electricity market. Negawatt trading uses ... [more] CAS2021-7 VLD2021-7 SIP2021-17 MSS2021-7
pp.31-35
ISEC 2021-05-19
10:25
Online Online Toward the proposal of Healthcare Information Exchange (HIE) system using blockchain
Ryuji Ueno (Tsukuba Univ), Kazumasa Omote (Tsukuba Univ./NICT) ISEC2021-2
The introduction of healthcare information exchange (HIE) systems has been limited although its societal need has been r... [more] ISEC2021-2
pp.9-16
SC 2020-03-16
16:45
Online Online Blockchain-based collaborative scoring method for digital service ecosystem revitalization
Kentaro Watanabe, Yusuke Arai, Yoji Ozawa, Shin Tezuka, Yoshiko Yasuda (Hitachi) SC2019-51
Innovation creation with digital technologies has been more important, and collaboration among ecosystem organizations f... [more] SC2019-51
pp.103-108
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
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
NS, IN
(Joint)
2018-03-02
10:50
Miyazaki Phoenix Seagaia Resort Incentive Mechanism for Encouraging Co-operation among Infrastructure Provider and Virtual Network Operators
Abu Hena Al Muktadir, Masahiro Jibiki, Ved P. Kafle, Hiroaki Harai (NICT) NS2017-211
Allocation of over-estimated virtual resources results in financial losses for both infrastructure provider (InP) and vi... [more] NS2017-211
pp.249-254
AI 2016-12-09
17:30
Oita   Incentive design in crowdsourcing as a multi-armed bandit problem -- A case of more than one requesters --
Shigeo Matsubara, Akihiko Itoh (Kyoto Univ.) AI2016-23
We have examined to apply the multi-armed bandit (MAB) techniques to an incentive design problem in crowdsourcing. So fa... [more] AI2016-23
pp.61-66
HCS 2016-08-20
16:10
Kyoto   MyDrill -- An application for tsunami evacuation drills applied in disaster education for elderly --
Yingying Sun, Takashi Sugiyama, Fuhsing Lee, Katsuya Yamori (Kyoto Univ.), Shingo Suzuki (NIED), Takahiro Nishino (R2), Kenshin Urabe (GK) HCS2016-50
This study discussed problems recently emerged in the field of disaster risk mitigation. With the high-tech development ... [more] HCS2016-50
pp.109-114
NS, IN
(Joint)
2016-03-03
11:20
Miyazaki Phoenix Seagaia Resort Relay Probability Characteristics in Social Ad-hoc Network with Different Intimacy Calculations and Social Network Structures
Tianran Luo, Tutomu Murase (Nagoya Univ.) IN2015-122
In this paper, we discuss a method of whether to create a connection between members in an ad-hoc network based on human... [more] IN2015-122
pp.83-88
NS 2015-05-22
09:30
Tokyo Tokyo Univ. Selfish Behavior Preventing Method with User's Information in Incentive-Based Delay Tolerant Networking
Naoto Shimada, Takuji Tachibana (Univ. of Fukui) NS2015-24
Currently, in order to perform the regional activation, an Incentive-based Delay Tolerant Network system has been propos... [more] NS2015-24
pp.53-58
CQ 2014-01-24
09:50
Tokyo Tokyo City University A Principal-Agent Theory based Game Theoretic Incentive Method for Packet Forwarding in Ad Hoc Networks
Bo Yang, Ryo Yamamoto, Yoshiaki Tanaka (Waseda Univ.) CQ2013-69
Dropping packets is one of the most devastating threatens on a performance of ad hoc networks. Among various motivation... [more] CQ2013-69
pp.11-16
ASN, RCS, NS, SR
(Joint)
2013-07-17
15:20
Shizuoka Hamamatsu Act City An Incentive Approach for Efficient Information Collection in Smartphone Sensing Environment
Tomoya Tsujimori, Niwat Thepvilojanapong (Mie Univ.), Hao Wang (Harbin Engineering Univ.), Yoshikatsu Ohta (Mie Univ.), Yunlong Zhao (Harbin Engineering Univ.), Yoshito Tobe (Aoyama Gakuin Univ.) ASN2013-48
Recently, the number of smartphone users is growing rapidly.
Recent smartphones equipped with several sensors are conve... [more]
ASN2013-48
pp.7-12
AI 2013-07-04
11:50
Tokyo   Smart Pricing Scheme Facilitating Scoring Rule based Incentive Payment
Shantanu Chakraborty, Takayuki Ito (Nitech) AI2013-5
Defining appropriate pricing strategy for smart environment is important and complex at the same time. In our work, we d... [more] AI2013-5
pp.25-30
 Results 1 - 20 of 38  /  [Next]  
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