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	A New Method of Property Right Transaction of Service Data Resources Based on Blockchain 会议论文 OAI收割 Guiyang, China, July 23-25, 2021 作者: \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2022/04/07 data resource property right transaction data confirmation data value evaluation and pricing data infringement tracking blockchain technology
	A method to enhance images baseed on human vision property 会议论文 OAI收割 Proceedings of IEEE 11th International Conference on Signal Processing (ICSP 2012), Beijing, China, October 21-25, 2012 作者: Cai TF(蔡铁峰); Hao YM(郝颖明); Wu QX(吴清潇); Zhu F(朱枫) 收藏 \| 浏览/下载：31/0 \| 提交时间：2012/12/28 Human Vision Property Grayscale Value Difference Perception Degree
	GENERALIZED p-VALUES FOR TESTING REGRESSION COEFFICIENTS IN PARTIALLY LINEAR MODELS 期刊论文 OAI收割 JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2010, 卷号: 23, 期号: 6, 页码: 1118-1132 作者: Hu, Huimin; Xu, Xingzhong; Li, Guoying \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2018/07/30 Fiducial inference frequency property generalized p-value hypothesis testing partially linear model
	The movement estimation of target and background by fourier phase spectrum difference (EI CONFERENCE) 会议论文 OAI收割 2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China 作者: Zhang X.; Zhang X.; Zhang X.; Wang J.; Zhang S. 收藏 \| 浏览/下载：19/0 \| 提交时间：2013/03/25 An algorithm for estimating displacement of the moving target and background by shift theory of Fourier transform is presented. According to the relation between the change and the Fourier transform of image sequence the method employs the displacement value of the moving target and background by the difference of Fourier phase spectrum. The algorithm estimates the movements from the whole field of the image with excellent global property. This paper provides the calculus and experiments of the algorithm which show the accuracy of 1 pixel. 2010 IEEE.
	A fiducial argument for generalized p-value 期刊论文 OAI收割 SCIENCE IN CHINA SERIES A-MATHEMATICS, 2007, 卷号: 50, 期号: 7, 页码: 957-966 作者: Li, Xin-min; Xu, Xing-zhong; Li, Guo-ying \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2018/07/30 fiducial distribution generalized p-value frequency property two-parameter exponential distribution variance component
	Gis supported hedonic model for assessing property value in west oakland, california 期刊论文 iSwitch采集 Chinese geographical science, 2006, 卷号: 16, 期号: 1, 页码: 70-78 作者: Zhou De-min; Xu Jian-chun; Gong Hui-li 收藏 \| 浏览/下载：35/0 \| 提交时间：2019/05/10 Gis Property value Neighborhood effect Hedonic price analysis
	Target track system design based on circular projection (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Song H.-J.; Zhu M.; Hu S.; Shen M.-L. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 Template matching is the process of searching the present and the location of a reference image or an object in a scene image. Template matching is a classical problem in a scene analysis: given a reference image of an object decide whether that object exists in a scene image under analysis and find its location if it does. The template matching process involves cross-correlating the template with the scene image and computing a measure of similarity between them to determine the displacement. The conventional matching method used the spatial cross-correlation process which is computationally expensive. Some algorithms are proposed for this speed problem such as pyramid algorithm but it still can't reach the real-time for bigger model image. Moreover the cross-correlation algorithm can't be effective when the object in the image is rotated. Therefore the conventional algorithms can't be used for practical purpose. In this paper an algorithm for a rotation invariant template matching method based on different value circular projection target tracking algorithm is proposed. This algorithm projects the model image as circular and gets the radius and the sum of the same radius pixel value. The sum of the same radius pixel value is invariable for the same image and the any rotated angle image. Therefore this algorithm has the rotation invariant property. In order to improve the matching speed and get the illumination invariance the different value method is combined with circular projection algorithm. This method computes the different value between model image radius pixel sum and the scene image radius pixel sum so that it gets the matching result. The pyramid algorithm also is been applied in order to improve the matching speed. The high speed hardware system also is been design in order to meet the real time requirement of target tracking system. The results show that this system has the good rotate invariance and real-time property.