中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共6条,第1-6条 帮助

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Sensing and Control for Simultaneous Precision Peg-in-Hole Assembly of Multiple Objects 期刊论文  OAI收割
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2020, 卷号: 17, 期号: 1, 页码: 310-324
作者:  
Liu, Song;  Li, You-Fu;  Xing, Dengpeng
  |  收藏  |  浏览/下载:60/0  |  提交时间:2020/03/30
Analysing post-earthquake landslide susceptibility using multi-temporal landslide inventories - a case study in Miansi Town of China 期刊论文  OAI收割
JOURNAL OF MOUNTAIN SCIENCE, 2020, 卷号: 17, 期号: 2, 页码: 358-372
作者:  
Li, Ning;  Tang, Chuan;  Yang, Tao;  Chen, Ming
  |  收藏  |  浏览/下载:17/0  |  提交时间:2020/11/11
Assessment of rock slope stability by probabilistic-based Slope Stability Probability Classification method along highway cut slopes in Adilcevaz-Bitlis (Turkey) 期刊论文  OAI收割
Journal of Mountain Science, 2016, 卷号: 13, 期号: 11, 页码: 1893-1909
作者:  
Akgun CANAL;  Mutluhan AKIN
收藏  |  浏览/下载:23/0  |  提交时间:2016/10/18
Modeling of human artery tissue with probabilistic approach 期刊论文  OAI收割
COMPUTERS IN BIOLOGY AND MEDICINE, 2015, 卷号: 59, 页码: 152-159
作者:  
Xiong, Linfei;  Chui, Chee-Kong;  Fu, Yabo;  Teo, Chee-Leong;  Li, Yao
  |  收藏  |  浏览/下载:20/0  |  提交时间:2018/03/15
Statistical and probabilistic analyses of impact pressure and discharge of debris flow from 139 events during 1961 and 2000 at Jiangjia Ravine, China 期刊论文  OAI收割
ENGINEERING GEOLOGY, 2015, 卷号: 187, 页码: 122-134
作者:  
Hong, Y.;  Wang, J. P.;  Li, D. Q.;  Cao, Z. J.;  Ng, C. W. W.
收藏  |  浏览/下载:27/0  |  提交时间:2015/06/15
Application of Vague set to Software rating ascertainment for space camera (EI CONFERENCE) 会议论文  OAI收割
2nd International Conference on Information Science and Engineering, ICISE2010, December 4, 2010 - December 6, 2010, Hangzhou, China
作者:  
Li Y.;  Li Y.;  Li Y.;  Li Y.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
Software rating ascertainment is very important in development of space camera software system. It can guide the software measurement and management  and help designer improve system reliability finally. Fault Tree Analysis is a common method to analyze the danger reason and fix on bottom events. The most significant step is calculating the occurrence probabilistic of top event  namely the occurrence probabilistic of dangerous event. Because software failure cause is anfractuous and available data are hard to get  a modeling method for bottom event is proposed based on Vague set to calculate the occurrence probabilistic of top event. Experimental results show that the new approach of Vague set can guide the Software rating ascertainment which is ascertained using qualitative analysis. The results also show that the new method makes software rating ascertainment have the quantificational evidence. 2010 IEEE.