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	A NEW TYPE OF NON-LANDING EXPONENTIAL RAYS 期刊论文 OAI收割 DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS, 2020, 卷号: 40, 期号: 7, 页码: 4179-4196 作者: Fu, Jianxun; Zhang, Song \| 收藏 \| 浏览/下载：40/0 \| 提交时间：2020/05/24 Exponential map itinerary non-landing ray accumulation set topologist's sine curve
	The automatic interpretation of structural plane parameters in borehole camera images from drilling engineering 期刊论文 OAI收割 JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2017, 卷号: 154, 页码: 417-424 作者: Wang, Jinchao; Wang, Chuanying; Zou, Xianjian; Han, Zengqiang; Wang, Yiteng \| 收藏 \| 浏览/下载：33/0 \| 提交时间：2018/06/05 Automatic interpretation Borehole camera image Structure plane Regional division Sine curve
	An automatic recognition and parameter extraction method for structural planes in borehole image 期刊论文 OAI收割 JOURNAL OF APPLIED GEOPHYSICS, 2016, 卷号: 135, 页码: 135-143 作者: Wang, Chuanying; Zou, Xianjian; Han, Zengqiang; Wang, Yiteng; Wang, Jinchao \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2018/06/05 Borehole image Structural plane Regional partitioning Automatic recognition Sine curve
	A comparison of hardware implementation of BP neural network based on NIOS II single-core and multi-core processor (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Electric Information and Control Engineering, ICEICE 2011, April 15, 2011 - April 17, 2011, Wuhan, China 作者: Zhang W.; Zhang H.; Zhang H.; Zhang W. 收藏 \| 浏览/下载：15/0 \| 提交时间：2013/03/25 The hardware implementation of neural network at present is introduced in this paper. And then implementations of neural network based on NIOS II single-core and multi-core processor are compared. At last the results of two methods are given taking BP network fitting sine curve for example. 2011 IEEE.
	The Research of real time auto-recognition of the moire fringe (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China Wang M.-J.; Wu Z.-G. 收藏 \| 浏览/下载：19/0 \| 提交时间：2013/03/25 Measuring the movement of raster by the method of moire fringe has the advantage of high sensitivity high resolution and non-contacted measurement. The characteristic of moire fringe is that the image is white alternate with black the angle of the stripes is uniform the width of the stripes is uniform the terminators of the stripes aren't clear. A fast method that can figure out the width and angle of the moire fringe precisely is put forward in this paper. It calculates the angle the stripes firstly. According to the principle of the minimum mean squared error (MMSE) the closer a series of data is the smaller the value of the MMSE will be. The method is described as follows: It takes the image's center as the origin 180 beelines pass through the origin with the same angle interval. it calculates the value of the minimum mean squared error of the 180 beelines and find out the least one among those then the angle of the moire fringe comes out primarily. In order to improving the calculating precision of moire fringe 60 equal angles are divided in the neighborhood of the angle then a precise angle of moire fringe is calculated according to the principle of the MMSE. After getting out the angle of the moire fringe we begin to calculate the width of moire fringe. A line vertical with the moire fringe is drawn and we can get the width of the moire fringe by the vertical line. In order to get over the influence of the noise an effective area with the shape of diamond is selected in the image. The data of area is accumulated and projected according to the direction of moire fringe and a sine curve come out. The width of moire fringe can be obtained by getting the position of the first wave crest the position of the last wave crest and the number of wave crest. Experiments prove that the precision of the method put forward in this paper is enhanced in comparison with the traditional frequency method the precision of width calculation achieves to 99.6% according to the evaluation indicators of width detection error. The computing speed is boosted largely compared with traditional method and it can achieve with 15 ms that satisfying the demand of real time. 2011 SPIE.