中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共6条，第1-6条

帮助

条数/页：排序方式：
	Experiments and CFD-DEM simulations of cohesive particles sedimentation in stilled fluid 期刊论文 OAI收割 POWDER TECHNOLOGY, 2019, 卷号: 356, 页码: 222-230 作者: Lu, Runrun; Zhang, Lin; Ricoux, Philippe; Wang, Limin \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2020/03/24 Cohesive force CED-DEM Coefficient quantization Correlation method
	The penetrating depth analysis of Lunar Penetrating Radar onboard Chang'e-3 rover 期刊论文 OAI收割 RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2017, 卷号: 17, 期号: 5 作者: 收藏 \| 浏览/下载：44/0 \| 提交时间：2017/09/06 space vehicles instruments: Lunar Penetrating Radar (LPR) techniques: radar astronomy method: radar equation method: correlation coefficient method
	Kernel based nonlinear regression for Internet round trip time-delay prediction 会议论文 OAI收割 2012 10th World Congress on Intelligent Control and Automation (WCICA), Beijing, China, July 6-8, 2012 作者: Yang YH(杨艳华); Li HY(李洪谊) 收藏 \| 浏览/下载：22/0 \| 提交时间：2012/12/28 teleoperation system prediction Round Trip Time-delay (RTT) kernel method nonlinear correlation coefficient long-range autocorrelation
	A new accurate and fast algorithm of sub-pixel image registration (EI CONFERENCE) 会议论文 OAI收割 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China 作者: He B. 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/03/25 In terms of large field view and multi-channel TDICCD remote sensing images previous interpolation methods and curve fitting methods are not able to achieve the high accuracy and fast registration and their noise immunity and robustness is not high. For that this paper presents a more accurate and faster method iterative pixel interpolation and surface fitting method. Firstly the method uses the some overlapping pixels between multi-channel images. Secondly the proposed technique which is based on the maximization of the correlation coefficient function combines an efficient pixel-moving interpolation scheme with surface fitting which makes use of accurate interpolation calculation and fast surface fitting in the iterative process. Finally the accuracy and speed of the algorithm is evaluated by sub-pixel registration of multi-channel images and comparison with other sorts of efficient methods. The experiment results show that the accuracy of the method reaches 0.01 pixels and it is 3 times faster than the interpolation method. In the registration of large field view and multi-channel TDICCD images the method is accurate and fast with greatly high stability noise immunity and robustness. 2010 IEEE.
	A new research of sub-pixel level accuracy of TDICCD remote sensing image registration (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 作者: He B. 收藏 \| 浏览/下载：33/0 \| 提交时间：2013/03/25 In the field of remote sensing imaging TDICCD remote sensing images have a lot of their own characteristics such as high-resolution large amount of information less overlapping parts of pixels additional image blurring etc. Therefore there exist many difficulties especially in terms of high-accuracy registration of pairs of images. For that this paper presents two new pixel interpolation method for sub-pixel level registering images that allows for scaling translation and rotation. The proposed technique which is based on the maximization of the correlation coefficient function combines an efficient pixel-moving interpolation scheme with surface fitting which greatly reduces the overall computational cost. The accuracy of the algorithm is evaluated by calculating correlation coefficient of couples of points belonging to images transformed with preset factors and also comparing it to other sorts of methods. The experiment results show that the accuracy of registration reaches 0.01 pixels. 2010 IEEE.
	Fast determination of total ginsenosides content in Ginseng powder by near infrared reflectance spectroscopy (EI CONFERENCE) 会议论文 OAI收割 ICO20: Biomedical Optics, August 21, 2005 - August 26, 2005, Changchun, China 作者: Chen X.-D.; Chen X.-D. 收藏 \| 浏览/下载：29/0 \| 提交时间：2013/03/25 Near infrared (NIR) reflectance spectroscopy was used to develop a fast determination method for total ginsenosides in Ginseng (Panax Ginseng) powder. The spectra were analyzed with multiplicative signal correction (MSC) correlation method. The best correlative spectra region with the total ginsenosides content was 1660 nm1880 nm and 2230nm-2380 nm. The NIR calibration models of ginsenosides were built with multiple linear regression (MLR) principle component regression (PCR) and partial least squares (PLS) regression respectively. The results showed that the calibration model built with PLS combined with MSC and the optimal spectrum region was the best one. The correlation coefficient and the root mean square error of correction validation (RMSEC) of the best calibration model were 0.98 and 0.15% respectively. The optimal spectrum region for calibration was 1204nm-2014nm. The result suggested that using NIR to rapidly determinate the total ginsenosides content in ginseng powder were feasible.