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	Multi-attribute Grey Relational Similarity Measure Evaluation Method for Weapon System Performance Based on Entropy-weight 期刊论文 OAI收割 JOURNAL OF GREY SYSTEM, 2021, 卷号: 33, 期号: 2, 页码: 1-13 作者: Yang, Wenguang; Wu, Yunjie; Wang, Shu \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2022/04/02 Multi-attribute Decision Making Grey Relational Similarity Measure Entropy-weight Evaluation Weapon System Rank Reversal
	Unascertained Measure-Set Pair Analysis Model of Collapse Risk Evaluation in Mountain Tunnels and Its Engineering Application 期刊论文 OAI收割 KSCE JOURNAL OF CIVIL ENGINEERING, 2020, 页码: 17 作者: Chen, Wu; Zhang, Guohua; Jiao, Yuyong; Wang, Hao \| 收藏 \| 浏览/下载：38/0 \| 提交时间：2021/05/25 Mountain tunnel Risk evaluation Rough set Unascertained measure theory Set pair analysis Connection degree
	Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification 期刊论文 OAI收割 ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2017, 卷号: 8, 期号: 3, 页码: 26 作者: Xu, Jun; Xia, Long; Lan, Yanyan; Guo, Jiafeng; Cheng, Xueqi \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2019/12/12 Search result diversification relational learning to rank diversity evaluation measure
	Quantitative measures for characterizing the sealing ability of caprock with pore networks in CO2 geological storage 会议论文 OAI收割 Austin, TX, OCT 05-09, 2014 作者: Bai, Bing; Lue, Guangzhong; Li, Xiaochun; Li, Zhipeng; Wang, Yongsheng \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2018/06/05 Caprock sealing ability evaluation measure CO2 geological storage(CGS)
	An auto-focus algorithm of fast search based on combining rough and fine adjustment (EI CONFERENCE) 会议论文 OAI收割 3rd international Conference on Manufacturing Science and Engineering, ICMSE 2012, March 27, 2012 - March 29, 2012, Xiamen, China 作者: Zhang S.; Zhang Y. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 A coarse and fine combined fast search and auto-focusing algorithm was suggested in this paper. This method can automatically search and find the focal plane by evaluating the image definition. The Krisch operator based edge energy function was used as the big-step coarse focusing and then the wavelet transform based image definition evaluation function which is sensitivity to the variation in image definition was used to realize the small-step fine focusing in a narrow range. The un-uniform sampling function of the focusing area selection used in this method greatly reduces the workload and the required time for the data processing. The experimental results indicate that this algorithm can satisfy the requirement of the optical measure equipment for the image focusing. (2012) Trans Tech Publications.
	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：29/0 \| 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.
	Auto-focusing evaluation functions in digital image system (EI CONFERENCE) 会议论文 OAI收割 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China 作者: Gao Y. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 Evaluation function is an important item to measure the quality of images in auto-focusing systems. This paper introduces four categories of evaluation functions which are respectively based on gradient correlation statistics and transform. These functions formally differ from each other and their performances are not consistent when dealing with different images. The same function also performs different when the processed images have different characteristics. Five commonly used functions from the four categories are verified and compared under different circumstances in order to validate their performances. The result provides references for variety of selections in the practical application. 2010 IEEE.
	Dynamic evaluation system for interpolation errors in the encoder of high precision (EI CONFERENCE) 会议论文 OAI收割 4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China 作者: Liang L.-H.; Sun Y.; Sun Y.; Wan Q.-H. 收藏 \| 浏览/下载：34/0 \| 提交时间：2013/03/25 In order to measure dynamic interpolation errors of photoelectric encoder of high precision the dynamic evaluation system of interpolation errors is introduced. Firstly the fine Moire signal of encoder which is collected with the high-speed data gathering card into the computer is treated to equiangular data with the method of linear interpolation. Then the analysis of harmonic wave with the FFT is processed. Compared with the standard signal the dynamic interpolation errors of the encoder are calculated. Experimental results show that the precision of the dynamic evaluation system of interpolation errors is 0.1 %( pitch). The evaluation system is simple fast high precision and can be used in the working field of the encoder. 2009 SPIE.
	Autofocusing technique based on image processing for remote-sensing camera (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2007 - Image Processing, September 9, 2007 - September 12, 2007, Beijing, China 作者: Wang X.; Xu S.-Y.; Wang X.; Wang X. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 The key to the auto-focusing technique based on image processing is the selection of focus measure reflecting image definition. Usually the measures derived are on the premise of the images acquired with the same scene. As for the remote-sensing camera working in linear CCD push-broom imaging mode the premise doesn't exist because the scenes shot are different at any moment which brings about difficulties to the selection of the focus measure. To evaluate the image definition the focus measure based on blur estimation for rough adjustment is proposed to estimate the focused position by only two different lens positions which greatly saves the auto-focusing time. Another evaluation function based on edge sharpness is developed to find best imaging position in the narrow range. Simulations show that the combination of the two measures has the advantages of rapid reaction and high accuracy.