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	Fiber Bragg grating sensor for measuring rate of dissipation of turbulent kinetic energy of ocean 期刊论文 OAI收割 OPTICAL ENGINEERING, 2020, 卷号: 59, 期号: 8, 页码: 11 作者: Wang, Li; Wang, Yongjie; Wang, Jianfeng; Ch'ien, Libin; Li, Fang \| 收藏 \| 浏览/下载：70/0 \| 提交时间：2021/04/12 comparative experiments fiber Bragg grating turbulence sensors
	Tribological properties of Mos2 thin coatings under liquid lubricating (EI CONFERENCE) 会议论文 OAI收割 2nd International Conference on Innovation Manufacturing and Engineering Management, IMEM 2012, December 14, 2012 - December 16, 2012, Chongqing, China Bai Y.; Cao P. 收藏 \| 浏览/下载：37/0 \| 提交时间：2013/03/25 The objective of this study is to investigate the effect of solid and liquid lubrication on friction and wear performance of selected solid lubricating coatings comparative experiments have been carried out on magnetron sputtered MoS2 coatings against Si3N4 ball using a ball-on-disk tribo-tester under the conditions of room temperature and different lubrication. Surface morphology of coatings were investigated by atom force microscope (AFM) and friction coefficient (COF) and wear rate of solid films were also be analyzed. It was shown that the friction is greatly reduced when the solid film is lubricated with oil and grease simultaneously in comparison with single-lubricant lubrication at the start-up or under boundary lubrication conditions. Liquid lubrication causes a dramatic decrease of the wear-ability of the MoS2 coatings. The effect of oil lubrication to the deterioration of wear resistance of MoS2 film was even worse than lubrication grease. (2013) Trans Tech Publications Switzerland.
	A line mapping based automatic registration algorithm of infrared and visible images 会议论文 OAI收割 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者: Ai R(艾锐); Shi ZL(史泽林); Xu DJ(徐德江); Zhang CS(张程硕) 收藏 \| 浏览/下载：42/0 \| 提交时间：2013/12/26 There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.
	A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle 会议论文 OAI收割 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者: Fan XP(范晓鹏); Cai TF(蔡铁峰); Zhu F(朱枫) 收藏 \| 浏览/下载：49/0 \| 提交时间：2013/12/26 The paper is committed in local image enhancement. At first, the authors propose an adjacent pixel gray order-preserving principle. Adjacent pixel gray order-preserving principle is the basement of local enhancement method which ensures that there is no distortion in processed image. And then, the authors propose an iterative algorithm, which could stretch gray-scale difference of adjacent pixels in premise of not changing gray magnitude relationship between adjacent pixels. At last, the authors propose a totally reference image quality assessment method based on adjacent pixel gray order-preserving principle. According to this quality assessment method, the authors made a set of comparative experiments with local histogram equalization and method. Experimental results show that the proposed enhancement method can get higher score and provide better visual effects, fully demonstrating its effectiveness. According to this quality assessment method, the proposed method shows a good effectiveness, through experimental results and comparison with local histogram equalization method.
	Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (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 Wu Z.-G.; Wang M.-J.; Han G.-L. 收藏 \| 浏览/下载：88/0 \| 提交时间：2013/03/25 Being an efficient method of information fusion image fusion has been used in many fields such as machine vision medical diagnosis military applications and remote sensing.In this paper Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing including segmentation target recognition et al. and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First the two original images are decomposed by wavelet transform. Then based on the PCNN a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore by this algorithm the threshold adjusting constant is estimated by appointed iteration number. Furthermore In order to sufficient reflect order of the firing time the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules the experiments upon Multi-focus image are done. Moreover comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.
	An automatic pedestrian detection and tracking method: Based on mach and particle filter (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Network Computing and Information Security, NCIS 2011, May 14, 2011 - May 15, 2011, Guilin, Guangxi, China Han Q.; Yao Z. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 This paper introduces a pedestrian detecting and tracking approach. Correlation filters present the composite properties which have been successively used in target detection. Particle filter are combined to locate the targets in real-time. Our contribution is proposing a general algorithm that is able to detect and track pedestrians in clutter environments. We also create a different view pedestrian dataset. Experiments show our algorithm is comparative when there is block and occlusion in tracking. 2011 IEEE.
	Comparative experiments on the effect of radar data assimilation and increasing horizontal resolution on short-term numerical weather prediction 期刊论文 iSwitch采集 Acta meteorologica sinica, 2007, 卷号: 21, 期号: 1, 页码: 47-63 作者: Sheng Chunyan; Xue Deqiang; Lei Ting; Gao Shouting 收藏 \| 浏览/下载：36/0 \| 提交时间：2019/05/10 Radar data assimilation Increasing horizontal resolution Comparative experiments Short-term prediction