中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Attributing the Evapotranspiration Trend in the Upper and Middle Reaches of Yellow River Basin Using Global Evapotranspiration Products 期刊论文  OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 1, 页码: 21
作者:  
Wang, Zhihui;  Cui, Zepeng;  He, Tian;  Tang, Qiuhong;  Xiao, Peiqing
  |  收藏  |  浏览/下载:22/0  |  提交时间:2022/09/21
Model Research of Electric Coal Calorific Value Based on Near Infrared Frequency Domain Self-Adaption Analysis Method 期刊论文  OAI收割
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2014, 卷号: 34, 期号: 10, 页码: 2792-2798
作者:  
Li Zhi;  Wang Shenghao;  Zhao Yong;  Wang Xiangfeng;  Li Yaozheng
  |  收藏  |  浏览/下载:19/0  |  提交时间:2021/02/26
Application of quantitative fault tree analysis based on fuzzy synthetic evaluation to software development for space camera (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011, August 8, 2011 - August 10, 2011, Zhengzhou, China
作者:  
Li Y.;  Li Y.;  Li Y.;  Li Y.
收藏  |  浏览/下载:28/0  |  提交时间:2013/03/25
Software reliability analysis is a significant measure to guide design of software reliability. Now software fault tree method to carry on software reliability analysis is used more and more. But it can only qualitative carry on the analysis because of many reasons. For example  the scale of software is enlarging  the software architecture is getting more and more complex  the reason of software fault is very difficult to analyze  the software is difference with hardware  and it is very hard to obtain the expiration the quantitative data and so on. The space camera is extremely high to the reliable request. So the qualitative analysis is unable to satisfy the analysis request. In view of space camera characteristics  a method of fault tree analysis based on fuzzy synthetic evaluation is proposed. The results show that the new method makes software quantitative fault tree analysis possible and optimizes. It can also solve the problem of software component which is unable to quantize precisely. 2011 IEEE.  
Study on color difference estimation method of medicine biochemical analysis (EI CONFERENCE) 会议论文  OAI收割
ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Zhou Y.;  Zhou F.;  Wang C.
收藏  |  浏览/下载:33/0  |  提交时间:2013/03/25
The biochemical analysis in medicine is an important inspection and diagnosis method in hospital clinic. The biochemical analysis of urine is one important item. The Urine test paper shows corresponding color with different detection project or different illness degree. The color difference between the standard threshold and the test paper color of urine can be used to judge the illness degree  therefore  it can be used in hospital  so that further analysis and diagnosis to urine is gotten. The color is a three-dimensional physical variable concerning psychology  the estimation method of color difference in urine test can have better precision and facility than the conventional test method with one-dimensional reflectance  calibrating organization and family  while reflectance is one-dimensional variable  it can make an accurate diagnose. The digital camera is easy to take an image of urine test paper and is used to carry out the urine biochemical analysis conveniently. On the experiment  so its application prospect is extensive.  the color image of urine test paper is taken by popular color digital camera and saved in the computer which installs a simple color space conversion (RGB &rarr XYZ &rarr L*a*b*) and the calculation software. Test sample is graded according to intelligent detection of quantitative color. The images taken every time were saved in computer  and the whole illness process will be monitored. This method can also use in other medicine biochemical analyses that have relation with color. Experiment result shows that this test method is quick and accurate  
A new quantitative method in analysing the experiments on short term serial memory 期刊论文  OAI收割
SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES, 1998, 卷号: 41, 期号: 5, 页码: 460-464
作者:  
Tang XW(唐孝威);  Tang, XW;  Chen, XC;  Zhang, D
收藏  |  浏览/下载:21/0  |  提交时间:2016/06/28