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	Combined use of network inference tools identifies ecologically meaningful bacterial associations in a paddy soil 期刊论文 OAI收割 SOIL BIOLOGY & BIOCHEMISTRY, 2017, 卷号: 105, 期号: 0, 页码: 227-235 作者: Wei, Zhong; Yin, Shixue; Shen, Qirong; Wang, Yulong; Deng, Ye \| 收藏 \| 浏览/下载：42/0 \| 提交时间：2018/07/29 Soil Microbial Community Interaction Network Inference Ecologically Meaningful Interactions Paddy Soil
	A new method for comparing Zernike circular polynomials with Zernike annular polynomials in annular pupils (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China Jing S.; Dongmei M. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 To compare the difference between Zernike annular polynomial and Zernike circular polynomial an approximate mathematic relationship between Zernike annular polynomial coefficients and SEIDEL coefficients is proposed. A new method is applied in comparing experiment. For real interferometric data of annular wave front the SEIDEL aberration calculated in different ways is removed from the original wave front. Residual astigmatism aberration in annular polynomial way is close to zero but defocus and sphere aberration are 0.002709 -0.00182. The residual SEIDEL using annular polynomial is least. Data used in comparison shows that Zernike annular polynomial is more accurate and meaningful for the decomposition of aberrations and the calculation of Seidel aberrations in annular pupil. The calculation in astigmatism aberration is most accurate and those in defocus and sphere aberration are least accurate when the first 9 terms are used in approximate solving SEIDEL. More coefficients are needed to obtain the real SEIDEL. 2010 IEEE.
	A new segmentation method of CR images based on discrete wavelet transform and mathematics morphology (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Li Z.; Li Z. 收藏 \| 浏览/下载：63/0 \| 提交时间：2013/03/25 In this paper we propose a segmentation method of CR(computed radiography) images with being rid of under-segmentation and over-segmentation. An under-segmentation occurs when pixels belonging to different objects are grouped into a single region. Such errors are the most dangerous because they can invalidate the whole segmentation process. The phenomenon always takes place when we segment CR images because of the principle of CR. In order to depressed under-segmentation we enhance the CR images using DWT (discrete wavelet transform) to get more detail of CR image features. As we enhance the CR image the over-segmentation maybe occurs. Compared with under-segmentation the over-segmentation occurs when a single objects is subdivided by segmentation into several region. For the purpose of preventing from the over-segmentation we present a scheme for enhanced CR images based on watershed algorithm that solves over-segmentation problem. We use marker-based watershed algorithm. Together with gradient image and marker image watershed segmentation can make sure to partition CR image into meaningful object and avoid further segmentation of homogeneous regions. The result of the proposed algorithm are compared with those of other standard methods. Experiments have shown a better result and indeed solved under-segmentation and over-segmentation problems.
	CHANGE OF QCD VACUUM IN NUCLEI AND EMC EFFECT 期刊论文 OAI收割 Science in China;Ser.A, 1985, 期号: 1, 页码: 1184-1191 作者: Liu LS(刘连寿); Peng HA(彭宏安); Zhao WQ(赵维勤) 收藏 \| 浏览/下载：18/0 \| 提交时间：2015/12/10 satisfactory determining intuitive outside meaningful explanation nuclei radius nucleus absolute