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	Study on the difference between turfy soil and normal peat soil in China (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Vibration, Structural Engineering and Measurement, ICVSEM2011, October 21, 2011 - October 23, 2011, Shanghai, China 作者: Nie L. 收藏 \| 浏览/下载：41/0 \| 提交时间：2013/03/25 As the special soil turfy soil and peat soil in China contained some similar properties with high void ratio high water content high organic content etc. But turfy soil also had properties which difference from peat soil. In this paper based on the formation of the cause and geological environment and geomorphologic characteristics of geological in the quaternary took the typical and widespread turfy soil and peat soil regions for example systematically discussed the material composition and macroscopic and microcosmic structural features put further research on the physical chemistry mechanical characteristics. Then the come to the conclusion that the essential reason for difference between turfy soil and peat soil were decomposition degree and organic content. The result that worse engineering properties such as higher the moisture content porosity compressibility internal cohesion and the lower specific weight consolidation coefficient and permeability were due to the lower decomposition degree and higher organic content of turfy soil than peat soil. It can provide reference to the practical projects of turfy soil to distinguish peat soil according to this characteristic. (2012) Trans Tech Publications.
	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：34/0 \| 提交时间：2012/12/28 Human Vision Property Grayscale Value Difference Perception Degree
	Phase transition on the degree sequence of a random graph process with vertex copying and deletion 期刊论文 OAI收割 STOCHASTIC PROCESSES AND THEIR APPLICATIONS, 2011, 卷号: 121, 期号: 4, 页码: 885-895 作者: Cai, Kai-Yuan; Dong, Zhao; Liu, Ke; Wu, Xian-Yuan \| 收藏 \| 浏览/下载：11/0 \| 提交时间：2018/07/30 Degree sequence Power law Phase transition Difference equation
	DFT Feature Analysis of Corn Varieties Based on Near Infrared Spectra 期刊论文 OAI收割 spectroscopy and spectral analysis, 2011, 卷号: 31, 期号: 1, 页码: 119-122 Li YP; Li WJ; Lai JL 收藏 \| 浏览/下载：63/1 \| 提交时间：2011/07/06 Near infrared spectra (NIRS) Corn seed Discrete fourier Transform (DFT) Difference degree Character analyse SPECTROSCOPY CALIBRATION MODEL
	Dft feature analysis of corn varieties based on near infrared spectra 期刊论文 iSwitch采集 Spectroscopy and spectral analysis, 2011, 卷号: 31, 期号: 1, 页码: 119-122 作者: Li Yang-peng; Li Wei-jun; Lai Jiang-liang 收藏 \| 浏览/下载：37/0 \| 提交时间：2019/05/12 Near infrared spectra (nirs) Corn seed Discrete fourier transform (dft) Difference degree Character analyse
	Decomposition of ordinary difference polynomials 期刊论文 OAI收割 JOURNAL OF SYMBOLIC COMPUTATION, 2009, 卷号: 44, 期号: 10, 页码: 1394-1409 作者: Zhang, Mingbo; Gao, Xiao-Shan \| 收藏 \| 浏览/下载：18/0 \| 提交时间：2018/07/30 Functional decomposition Difference polynomial Difference operator Difference degree
	Assessment of surface roughness by use of soft x-ray scattering (EI CONFERENCE) 会议论文 OAI收割 Soft X-Ray Lasers and Applications VIII, August 4, 2009 - August 6, 2009, San Diego, CA, United states Yan-li M.; Yong-gang W.; Shu-yan C.; Bo C. 收藏 \| 浏览/下载：30/0 \| 提交时间：2013/03/25 A soft x-ray reflectometer with laser produced plasma source has been designed which can work from wavelength 8nm to 30 nm and has high performance. Using the soft x-ray reflectometer above the scattering light distribution of silicon and zerodur mirrors which have super-smooth surfaces could be measured at different incidence angle and different wavelength. The measurement when the incidence angle is 2 degree and the wavelength is 1 lnm has been given in this paper. A surface scattering theory of soft x-ray grazing incidence optics based on linear system theory and an inverse scattering mathematical model is introduced. The vector scattering theory of soft x-ray scattering also is stated in detail. The scattering data are analyzed by both the methods above respectively to give information about the surface profiles. On the other hand both the two samples are measured by WYKO surface profiler and the surface roughness of the silicon and zerodur mirror is 1.3 nm and 1.5nm respectively. The calculated results are in quantitative agreement with those measured by WYKO surface profiler which indicates that soft x-ray scattering is a very useful tool for the evaluation of highly polished surfaces. But there still some difference among the results of different theory and WYKO and the possible reasons of such difference have been discussed in detail. 2009 SPIE.
	Study on color difference estimation method of medicine biochemical analysis (EI CONFERENCE) 会议论文 OAI收割 ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China 作者: Zhou Y.; Zhou F.; Wang C. 收藏 \| 浏览/下载：35/0 \| 提交时间：2013/03/25 The biochemical analysis in medicine is an important inspection and diagnosis method in hospital clinic. The biochemical analysis of urine is one important item. The Urine test paper shows corresponding color with different detection project or different illness degree. The color difference between the standard threshold and the test paper color of urine can be used to judge the illness degree therefore it can be used in hospital so that further analysis and diagnosis to urine is gotten. The color is a three-dimensional physical variable concerning psychology the estimation method of color difference in urine test can have better precision and facility than the conventional test method with one-dimensional reflectance calibrating organization and family while reflectance is one-dimensional variable it can make an accurate diagnose. The digital camera is easy to take an image of urine test paper and is used to carry out the urine biochemical analysis conveniently. On the experiment so its application prospect is extensive. the color image of urine test paper is taken by popular color digital camera and saved in the computer which installs a simple color space conversion (RGB &rarr XYZ &rarr Lab*) and the calculation software. Test sample is graded according to intelligent detection of quantitative color. The images taken every time were saved in computer and the whole illness process will be monitored. This method can also use in other medicine biochemical analyses that have relation with color. Experiment result shows that this test method is quick and accurate
	Study on color model conversion for camera with neural network based on the combination between second general revolving combination design and genetic algorithm (EI CONFERENCE) 会议论文 OAI收割 ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China 作者: Li Z.; Zhou F.; Wang C.; Li Z. 收藏 \| 浏览/下载：36/0 \| 提交时间：2013/03/25 Munsell color system is selected to establish the mutual conversion between RGB and Lab* color model for camera. The color luminance meter and CCD camera synchronously measure the same color card XYZ value is gotten from the color luminance meter the training error is 0.000748566 it can show that the method combining second general revolving combination design with genetic algorithm can optimize the hidden-layer structure of neural network. Using the data of testing set to test this network and calculating the color difference between forecast value and true value the color picture captured from CCD camera is expressed for RGB value as the input of neural network and the Lab* value converted from XYZ value is regarded as the real color value of target card which the difference is not obvious comparing with forecast result the maximum is 5.6357 NBS namely the output of neural network. The neural network of two hidden-layers is considered the minimum is 0.5311 NBS so the second general revolving combination design is introduced into optimizing the structure of neural network and the average of color difference is 3.1744 NBS. which can carry optimization through unifying project design data processing and the precision of regression equation. Their mathematics model of encoding space is gained and the significance inspection shows the confidence degree of regression equation is 99%. The mathematics model is optimized by genetic algorithm optimization solution is gotten and function value of the goal is 0.0007168. The neural network of the optimization solution is trained