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	Friction and wear properties of nano-carbon reinforced Cu/Ti3SiC2/C nanocomposites 期刊论文 OAI收割 CARL HANSER VERLAG, 2017, 卷号: 59, 期号: 43416, 页码: 981-989 作者: Li, Wei; Jiang, Xiaosong; Gao, Jun; Li, Yiming; Wang, Haixin \| 收藏 \| 浏览/下载：31/0 \| 提交时间：2018/01/10 Graphene Nanoplatelets Multi-walled Carbon Nanotubes Cu/ti3sic2/c Nanocomposites Orthogonal Experiment Method Friction And Wear Properties
	Information extraction from laser speckle patterns using wavelet entropy techniques (EI CONFERENCE) 会议论文 OAI收割 MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, November 4, 2011 - November 6, 2011, Guilin, China 作者: Li X.-Z.; Wang X.-J. 收藏 \| 浏览/下载：39/0 \| 提交时间：2013/03/25 A novel speckle patterns processing method is presented using multi-scale wavelet techniques. Laser speckle patterns generated from the sample contained abundant information. In this paper we propose a method using wavelet entropy techniques to analyze the speckle patterns and exact the information on the sample surface. In our case we used this approach to test the solar silicon cell surface profiles based on the sym8 orthogonal wavelet family. According different wavelet entropy values the micro-structure of different solar silicon cell surfaces were comparative analyzed. Furthermore we studied the AFM and reflective spectra of the wafer. Results show that the wavelet entropy speckle processing method is effective and accurate. And the experiment proved that this method is a useful tool to investigate the surface profile quality. 2011 SPIE.
	Study of experimental design and Response Surface method for surrogate model of computational simulation (EI CONFERENCE) 会议论文 OAI收割 2nd Annual Conference on Electrical and Control Engineering, ICECE 2011, September 16, 2011 - September 18, 2011, Yichang, China Xi R.; Jia H.; Xiao Q. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 While the high-precision simulation is widely used in science and technology Design of Experiment (DOE) based on Response Surface (RS) method can be employed in surrogate model to reduce the cost and error. In order to illustrate the relationship between parameters and response features several DOE methods and Response Surface (RS) method are studied. The author used polynomial regression and RBF neural network based on orthogonal array to build a rocket aerodynamic discipline surrogate model respectively which proved their feasibility. From the results of the test case conclusion is drawn that characteristic as well as acclimatization of DOE methods and different approximation should be considered for different issues so the factors of cost and accuracy could reach a balance synthetically. 2011 IEEE.
	Study on medical X-ray coherent scatter imaging and processing based digital flat detector (EI CONFERENCE) 会议论文 OAI收割 3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010, October 16, 2010 - October 18, 2010, Yantai, China 作者: Li B.; Zhao J.; Li B.; Li B.; Liu J. 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/03/25 It is introduced a novel imaging technique for medical diagnostic X-ray coherent scatter in this paper. A set of experimental equipment for X-ray coherent scatter imaging was set up with X-ray digital flat detector and medical diagnostic X-ray source. According to this equipment the scatter images obtained are made of some circles with the same center. It is vital to calculate the energy template to classify the different samples. It is difficult to separate them using the traditional threshold method due to noise and overlapped shadow. In this paper the image was transformed a binary image by using K-Means algorithm and Mathematical Morphology Methods. The effective region was extracted from the binary image inside the orthogonal energy projection space then to calculate the centroid of rings. Consequently the curve of the energy distribution was built. The experiment results show that our method is reasonable and feasible. The technique will have wide foreground of application .Besides the imaging of human bone content it can be used for various imaging of tissue and organs in biology. 2010 IEEE.