Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Fucun Li"'
Publikováno v:
IEEE Access, Vol 8, Pp 199308-199322 (2020)
Recent efforts in the network function virtualization (NFV) field have targeted ameliorating end-to-end latency of service function chains (SFCs) using network function (NF) composition. NF composition breaks the NF into building blocks and decides t
Externí odkaz:
https://doaj.org/article/44da3b9f732a459698e94aebcd958e80
Publikováno v:
The Journal of Engineering (2019)
With the increasing number of electric vehicles (EVs), how to make full use of EVs to a peak shaving and valley filling effect on the electrical load, realise the effective interaction between EVs and power grid has become a hot spot of research. How
Externí odkaz:
https://doaj.org/article/1a4e4104775c42f48a16c85d9b5dcc55
Publikováno v:
The Journal of Engineering (2019)
With the increasing number of electric vehicles, the vehicle-to-grid (V2G) technology has become a hotspot for the present research because it can cause peak-load shifting; it is also a practical technical means to improve the power grid capacity of
Externí odkaz:
https://doaj.org/article/ad1176044ad447ba8a6f63761108ab52
Publikováno v:
The Journal of Engineering (2018)
Wireless power transmission is a promising technique to provide continuous power supply for the limited capacitance of smart meters (SMs) with short distance communication. In this study, the authors propose a remote-relay-nodes (RRNs)-aided wireless
Externí odkaz:
https://doaj.org/article/b91cf9102b4840f1af68886adffb4448
Publikováno v:
Multimedia Tools and Applications. 80:34103-34119
© 2020, Springer Science+Business Media, LLC, part of Springer Nature. Cardiovascular diseases (CVD) seriously threaten the health of human beings, and they have caused widespread concern in recent years. At present, the diagnosis of CVD is mainly c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f0054180d50833abf03389ea626653f
https://doi.org/10.1007/s11042-020-08911-9
https://doi.org/10.1007/s11042-020-08911-9
Publikováno v:
Future Generation Computer Systems. 97:825-835
In this paper, we propose a novel traffic control architecture which is based on fog computing paradigm and reinforcement leaning technologies. We firstly provide an overview of this framework and detail the components and workflows designed to relie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa87deca81eb7edbc6c68fe4989b94a7
https://doi.org/10.1016/j.future.2019.02.058
https://doi.org/10.1016/j.future.2019.02.058
Publikováno v:
The Journal of Supercomputing. 76:6330-6343
© 2019, Springer Science+Business Media, LLC, part of Springer Nature. In this paper, we apply the Monte Carlo neural network (MCNN), a type of neural network optimized by Monte Carlo algorithm, to electricity load forecast. Meanwhile, deep MCNNs wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a416515e86d0973975fcfbe4fcd14e1c
https://doi.org/10.1007/s11227-019-02828-3
https://doi.org/10.1007/s11227-019-02828-3
Publikováno v:
The Journal of Engineering (2018)
Wireless power transmission is a promising technique to provide continuous power supply for the limited capacitance of smart meters (SMs) with short distance communication. In this study, the authors propose a remote-relay-nodes (RRNs)-aided wireless
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e0af715cfb6dbf8f6fe0a4517ec966c
https://doi.org/10.1049/joe.2018.8657
https://doi.org/10.1049/joe.2018.8657
Publikováno v:
The Journal of Engineering (2019)
With the increasing number of electric vehicles, the vehicle-to-grid (V2G) technology has become a hotspot for the present research because it can cause peak-load shifting; it is also a practical technical means to improve the power grid capacity of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dff52416673d0886bce432fa6a94d8ca
https://doi.org/10.1049/joe.2018.8544
https://doi.org/10.1049/joe.2018.8544
Publikováno v:
IEEE BigData
An intelligent industrial system is demanded for the development of Industry 4.0, which aims at providing efficient and intelligent computing service to increase the productivity. In-ternet of things become critical to achieve this goal by employing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9eebec1cdb34f0ab85bcdbd0d15bbbdf
https://doi.org/10.1109/bigdata50022.2020.9378300
https://doi.org/10.1109/bigdata50022.2020.9378300