Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Xingbin Zhang"'
Publikováno v:
Algorithms, Vol 8, Iss 4, Pp 929-950 (2015)
Arc fault is one of the most critical reasons for electrical fires. Due to the diversity, randomness and concealment of arc faults in low-voltage circuits, it is difficult for general methods to protect all loads from series arc faults. From the anal
Externí odkaz:
https://doaj.org/article/35bf22a50a0541d19b5b1d7dce8f352c
Autor:
Xingbin Zhang, Hui Chen, Guangchun Xiao, Mingdong Yi, Jingjie Zhang, Zhaoqiang Chen, Qun Lin, Chonghai Xu
Publikováno v:
Ceramics International. 49:19753-19765
Publikováno v:
Nanotechnology. 33:485504
The unique mechanical properties of graphene make it an excellent candidate for resonators. We have used molecule dynamic to simulate the resonance process of graphene. The kirigami approach was introduced to improve the mass sensitivity of graphene
Publikováno v:
Algorithms, Vol 8, Iss 4, Pp 929-950 (2015)
Algorithms
Volume 8
Issue 4
Pages 929-950
Algorithms
Volume 8
Issue 4
Pages 929-950
Arc fault is one of the most critical reasons for electrical fires. Due to the diversity, randomness and concealment of arc faults in low-voltage circuits, it is difficult for general methods to protect all loads from series arc faults. From the anal
Publikováno v:
Software: Practice and Experience. 28:1213-1243
Publikováno v:
Chinese Journal of Space Science. 36:536
Publikováno v:
Scientific Programming, Vol 3, Iss 4, Pp 301-324 (1994)
The nascent and rapidly evolving state of parallel systems often leaves parallel application developers at the mercy of inefficient, inflexible operating system software. Given the relatively primitive state of parallel systems software, maximizing t
Publikováno v:
IPPS
Fine-grained concurrent object-oriented programming (COOP) models can simplify the programming of irregular parallel applications but are often perceived as inefficient. In this paper, we study implementation techniques to obtain efficient parallel e
Publikováno v:
HIPS
Programmers of concurrent applications are faced with a complex performance space in which data distribution and concurrency management exacerbate the difficulty of building large, complex applications. To address these challenges, the Illinois Conce