中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共5条,第1-5条 帮助

条数/页: 排序方式:
Load-Balancing and QoS Based Dynamic Resource Allocation Method for Smart Gird Fiber-Wireless Networks 期刊论文  OAI收割
CHINESE JOURNAL OF ELECTRONICS, 2019, 卷号: 28, 期号: 6, 页码: 1234-1243
作者:  
Xu Siya;  Li Peng;  Qi Feng;  Guo Shaoyong;  Zhou Guiping
  |  收藏  |  浏览/下载:25/0  |  提交时间:2021/02/02
optical fibre networks  quality of service  radio access networks  radiofrequency interference  resource allocation  smart power grids  virtualisation  wireless channels  realtime resource consumption  time-window based substrate network resource update mechanism  smart gird communication services  specific QoS requirements  resource utilization  Fiber-wireless access networks  real-time network resource allocation  smart gird Fiber-wireless networks  dynamic resource allocation method  unbalanced resource consumption  load-balancing based resource allocation mechanism  QoS-based Virtual network request sorting mechanism  allocation algorithm  resource status  substrate networks  Load-balancing  Quality of Service (QoS)  Smart grid communication networks  Fiber-wireless (Fi-Wi) networks  Resource allocation  
A comparison of GPS-TEC with IRI-TEC at low latitudes in China in 2006 期刊论文  OAI收割
ADVANCES IN SPACE RESEARCH, 2017, 卷号: 60, 期号: 2, 页码: 250-256
作者:  
Wan, Qingtao;  Ma, Guanyi;  Li, Jinghua;  Wang, Xiaolan;  Fan, Jiangtao
收藏  |  浏览/下载:39/0  |  提交时间:2017/09/01
A strong coupled CFD-CSD method on computational aeroelastity (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011, July 15, 2011 - July 17, 2011, Inner Mongolia, China
Xi R.; Jia H.
收藏  |  浏览/下载:67/0  |  提交时间:2013/03/25
In this paper  a strong coupled CFD-CSD method is developed to simulate the aeroelastic phenomena. The CFD solver is based on the finite-volume algorithm for the Navier-Stokes equations on unstructured grid. The CSD solver solves the aeroelastic governing equations in the modal space. Their coupling is realized by a dual-time method. The spring-based smoothing method is adopted to deform and regenerate the aerodynamic grid. Two test cases are selected to validate the authors' method for static and dynamic aeroelastity .The results of the simulation for the static aeroelastic problems of a missile wing show that the Lift Coefficient and Drag Coefficient are severally 7% and 5% lower than those don't consider the elasticity of the wing. The results for the flutter boundary prediction of the AGARD 445.6 wing have been proved much closer to the experiment than using the DLM. This method can describe the effects of fluid viscosity more exactly for highly nonlinear transonic flight conditions. The calculation has proved reliable in the subsonic regime  but not accurate enough in the supersonic regime. 2011 IEEE.  
DPD simulation of multiphase flow at small scales 会议论文  OAI收割
2nd International Conference on Computer and Automation Engineering, ICCAE 2010, Singapore, Singapore, February 26, 2010 - February 28, 2010
作者:  
Liu MB(刘谋斌);  Chang JZ(常建忠);  Liu HT
收藏  |  浏览/下载:22/0  |  提交时间:2017/06/20
Abrupt sensor fault diagnosis based on wavelet network (EI CONFERENCE) 会议论文  OAI收割
2006 IEEE International Conference on Information Acquisition, ICIA 2006, August 20, 2006 - August 23, 2006, Weihai, Shandong, China
作者:  
Li W.;  Li W.;  Zhang H.;  Zhang H.
收藏  |  浏览/下载:17/0  |  提交时间:2013/03/25
The possible faults of a sensor may be classified as abrupt (sudden) faults and incipient (slowly developing) faults. This paper focuses on the abrupt faults of a sensor. Due to the limited number of scales  a single wavelet amplitude map has not enough scales to describe all details of the signal. The sampling grid in the scale direction is rather sparse  Some of the fault information will be leaked under such sparse grid. To make up for the deficiency of scalar orthogonal wavelet transform in the application of abrupt fault diagnosis  multiwavelet packets transform was introduced into the field of abrupt fault diagnosis. The distribution differences of the signal energy on decomposed multiwavelet scales of the signal before and after the fault occurring are extracted as the fault feature and used as the input of multi-dimensional wavelet network. A new model-free diagnostic method for isolating abrupt sensor faults is developed based on a proposed algorithm of multi-dimensional wavelet network constructing. The method has been proved to be quite effective in the detection of sensor abrupt fault. 2006 IEEE.