Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Huai-Min Wang"'
Autor:
Yingwen Chen, Ming Xu, Huai-min Wang, Hong Va Leong, Jiannong Cao, Keith C. C. Chan, Alvin T. S. Chan
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2007 (2007)
Minimizing the communication overhead is always a hot topic in wireless sensor networks. In a multirate query system, data sources disseminate the data streams to users at the frequency they request. However, sending data in different frequencies to
Externí odkaz:
https://doaj.org/article/e540ddb330b04a2ebc344873c16eec8a
Publikováno v:
DEStech Transactions on Environment, Energy and Earth Sciences.
Seismic velocity of rocks have a wide range of applications in regional tectonic research and shallow seismic exploration. Hami area is one of the important production bases for oil and gas in China, but there is short of seismic velocity. This paper
Publikováno v:
Science China Information Sciences. 58:1-15
Adaptivity is the capacity of software to adjust itself to changes in its environment. A common approach to achieving adaptivity is to introduce dedicated code during software development stage. However, since those code fragments are designed a prio
Publikováno v:
Journal of Software. 23:3009-3028
Publikováno v:
Journal of Software. 23:2885-2894
Publikováno v:
Advanced Materials Research. :5078-5086
There are large numbers of infrastructure resources in network virtualization environment (NVE), how to quickly and accurately find the resources that virtual network required is a challenging problem. Pointing to this problem, a resource finding mec
Publikováno v:
Journal of Software. 21:3042-3055
Publikováno v:
Chinese Journal of Computers. 33:2321-2334
Autor:
Yan Wen, Huai-Min Wang
Publikováno v:
Chinese Journal of Computers. 31:1768-1779
Publikováno v:
Soil Dynamics and Earthquake Engineering. 29:1379-1387
This paper presents a novel intelligent fuzzy weighted input estimation method which effiviently and robustly estimates the unknown ground motion accelerations. The new input estimation method includes the Kalman Filter (KF) and the recursive least s