Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Zhenni Feng"'
Autor:
Zhenni Feng, Yanmin Zhu
Publikováno v:
IEEE Access, Vol 4, Pp 2056-2067 (2016)
Rapid advance of location acquisition technologies boosts the generation of trajectory data, which track the traces of moving objects. A trajectory is typically represented by a sequence of timestamped geographical locations. A wide spectrum of appli
Externí odkaz:
https://doaj.org/article/da3477bf3b86462a9ab6a8e8562c1e38
Publikováno v:
Highlights in Science, Engineering and Technology. 36:530-537
In searching for various kinds of painkillers and comparing the pharmaceutical effects of them, morphine and M6G, metadon, sufentanil are the most common and attractive among all the painkillers. The content below would mainly introduce the mechanism
Publikováno v:
Wireless Communications and Mobile Computing. 2022:1-14
Data is an extremely important asset in a modern scientific and commercial society. The life force behind powerful artificial intelligence (AI) or machine learning (ML) algorithms is data, especially lots of data, which makes data trading significant
Publikováno v:
2022 18th International Conference on Mobility, Sensing and Networking (MSN).
Publikováno v:
IEEE Transactions on Big Data. 7:313-326
Nowadays most metro advertising systems schedule advertising slots on digital advertising screens to achieve the maximum exposure to passengers by exploring passenger demand models. However, our empirical results show that these passenger demand mode
Publikováno v:
2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD).
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS).
Publikováno v:
ACM TUR-C
Mobile crowd sensing (MCS) systems, which offer a great opportunity to fully take advantage of wisdom of the crowd, naturally benefits from low deployment cost and widely spatial coverage. Due to failure or risk caused by a central server, we study t
Autor:
Zhenni Feng, Junchang Chen
Publikováno v:
Networking
Mobile crowd sensing (MCS) systems fully take advantage of wisdom of the crowd and benefit from low deployment cost and widely spatial coverage. We propose a practical decentralized MCS system based on a distributed auction process and the blockchain