DLFTI: A deep learning based fast truth inference mechanism for distributed spatiotemporal data in mobile crowd sensing

Tang, Jianheng; Fan, Kejia; Yin, Pengzhi; Qu, Zhenzhe; Liu, Anfeng; Xiong, Neal N.; Dong, Mianxiong; Zhang, Shaobo

doi:10.1016/j.ins.2023.119245

Cited by 18 publications

(2 citation statements)

References 41 publications

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“…Furthermore, several key enabling technologies, including smart contracts and decentralized concepts utilized through blockchain, can contribute to expanding an online financial and digital system continuously, as well as to establishing decentralized data storage management. Furthermore, mobile crowd sensing (MCS) was used to achieve a data collection and processing platform in a dynamic environment where a billion IoT devices, service requesters, and social participants are utilized for sensing tasks, platform budgeting, bids, recruitment, and large-scale data processing [31,32]. The challenges and requirements of MCS should be addressed timely, and sufficient data supported by active participants are needed to ensure the quality of services.…”

Section: Introductionmentioning

confidence: 99%

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BeneWinD: An Adaptive Benefit Win–Win Platform with Distributed Virtual Emotion Foundation

Kim,

Ben-Othman

2023

Electronics

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In recent decades, online platforms that use Web 3.0 have tremendously expanded their goods, services, and values to numerous applications thanks to its inherent advantages of convenience, service speed, connectivity, etc. Although online commerce and other relevant platforms have clear merits, offline-based commerce and payments are indispensable and should be activated continuously, because offline systems have intrinsic value for people. With the theme of benefiting all humankind, we propose a new adaptive benefit platform, called BeneWinD, which is endowed with strengths of online and offline platforms. Furthermore, a new currency for integrated benefits, the win–win digital currency, is used in the proposed platform. Essentially, the proposed platform with a distributed virtual emotion foundation aims to provide a wide scope of benefits to both parties, the seller and consumer, in online and offline settings. We primarily introduce features, applicable scenarios, and services of the proposed platform. Different from previous systems and perspectives, BeneWinD can be combined with Web 3.0 because it deliberates based on the decentralized or distributed virtual emotion foundation, and the virtual emotion feature and the detected virtual emotion information with anonymity are open to everyone who wants to participate in the platform. It follows that the BeneWinD platform can be connected to the linked virtual emotion data block or win–win digital currency. Furthermore, crucial research challenges and issues are addressed in order to make great contributions to improve the development of the platform.

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Section: Introductionmentioning

confidence: 99%

“…The estimation or calculation of benefit for each participant is achieved according to the system circumstances and the selected incentive mechanism and winner selection process [31].…”

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confidence: 99%