中国科学院机构知识库网格
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Microstructure, Mineralogical Characterization and the Metallurgical Process Reconstruction of the Zinc Calcine Relics from the Zinc Smelting Site (Qing Dynasty) 期刊论文  OAI收割
MATERIALS, 2021, 卷号: 14, 期号: 8, 页码: 15
作者:  
Xiao, Ya;  Zhou, Wenli;  Mo, Linheng;  Chen, Jianli;  Li, Meiying
  |  收藏  |  浏览/下载:26/0  |  提交时间:2022/07/01
The properties of bio-energy transport and influence of structure nonuniformity and temperature of systems on energy transport along polypeptide chains 期刊论文  OAI收割
Progress in Biophysics & Molecular Biology, 2012, 卷号: 108, 期号: 1-2, 页码: 1-46
X. F. Pang
收藏  |  浏览/下载:40/0  |  提交时间:2013/02/05
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.  
Displacement estimation by the phase-shiftings of fourier transform in present white noise (EI CONFERENCE) 会议论文  OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Wu Y.-H.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
Displacement estimation is a fundamental problem in Real-time video image processing. It can be typically approached by theories based on features in spatial domain. This paper presents an algorithm which improves the theory for estimating the moving object's displacement in spatial domain by its Fourier transform frequency spectrum. Because of the characters of Fourier transform  the result is based on all the features in the image. Utilizing shift theorem of Fourier transform and auto-registration  the algorithm employs the phase spectrum difference in polar coordinate of two frame images sequence with the moving target1  2. The method needn't transform frequency spectrum to spatial domain after calculation comparing with the traditional algorithm which has to search Direc peak  and it reduces processing time. Since the technique proposed uses all the image information  including all the white noise in the image especially  and it's hard to overcome the aliasing from noises  but the technique can be an effective way to analyze the result in little white noise by the different characters between high and low frequency bands. It can give the displacement of moving target within 1 pixel of accuracy. Experimental evidence of this performance is presented  and the mathematical reasons behind these characteristics are explained in depth. It is proved that the algorithm is fast and simple and can be used in image tracking and video image processing.