中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共7条，第1-7条

帮助

条数/页：排序方式：
	Quantitative Cenozoic climatic reconstruction and its implications for aridification of the northeastern Tibetan Plateau 期刊论文 OAI收割 PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY, 2021, 卷号: 567, 页码: 8 作者: Jia, Yunxia; Wu, Haibin; Zhang, Wenchao; Li, Qin; Yu, Yanyan \| 收藏 \| 浏览/下载：56/0 \| 提交时间：2021/10/19 Pollen Qaidam Basin Palaeoclimate Cenozoic Multi-method approach Seasonality
	Determination of optimum process parameters in gas-assisted injection molding (EI CONFERENCE) 会议论文 OAI收割 2011 International Conference on Electrical Information and Mechatronics, ICEIM2011, December 23, 2011 - December 25, 2011, Jiaozuo, China Zi K.; Chen L. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 With finite element analysis software Moldflow numerical simulation and studies about FM truck roof handle were conducted on gas-assisted injection molding process. The influences of melt pre-injection shot gas pressure delay time and melt temperature were observed by using multi-factor orthogonal experimental method. According to the analysis of the factors' impact on evaluation index the optimized parameter combination is obtained. Therefore the optimization design of technological parameters is done. The results show that during the gas-assisted injection molding optimum pre-injection shot is 94% gas pressure is 15MPa delay time is 0.5s melt temperature is 240 C. This study provided a more practical approach for the gas-assisted injection molding process optimization.
	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.
	The method on the measurement of the aircraft attitude by the spatial cosines relationship of the single station and planes to the intersection the multi-station of electro-optical theodolite (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 Zhao L.-R.; Cao Y.-G. 收藏 \| 浏览/下载：16/0 \| 提交时间：2013/03/25 In order to realize the aircraft attitude measurement The paper advances electro-optical theodolite methods of measuring the aircraft attitude by using the spatial cosines relationship the single station theodolite and how to use intersection of the multi-station theodolite. The single station theodolite was introduced in a measured distance from the aircraft posture information. An exhaustive approach was used to access to the aircraft axis of the feature points and the location in the space was used to obtain space posture parameters. The multi-station theodolite was introduced to get the information of the aircraft flight attitude by method of using planes to the intersection. Two-dimensional image to obtain objective axis by fitting algorithm using Hough transform. And then Calculate the vertical distance of the origin to the target of the central axis and the origin to the target of the central axis of the angle between the normal and the X-axis obtaining the linear equation in the two-dimensional plane. Two-dimensional axis of the target image and the camera system's optical center only identified a space plane. The aircraft yaw axis angle and pitch angle can be obtained by getting the space axis using plains to the intersection method. Experimental results show that attitude angle error of the single station theodolite is less than 1 when its distance is less than 6000m and attitude angle error of the multi-station theodolite is less than 0.6 when its intersection angle is between 30 and 150. In this paper according to test result of precision comparing the mathematical model is correct and the algorithm is reasonable in extracting effective parameters of the aircraft's attitude. 2010 IEEE.
	Improvement of urban land use and land cover classification approach in arid areas 会议论文 OAI收割 Proceedings of SPIE - The International Society for Optical Engineering, Image and Signal Processing for Remote Sensing XVI, Toulouse, France, 2010 Qian; Jing1; 2; Zhou; Qiming1; Chen; Xi2 收藏 \| 浏览/下载：35/0 \| 提交时间：2011/08/23 Arid regions - Image analysis - Image classification - Land use - Landforms - Maximum likelihood - Photography - Pixels - Remote sensing - Signal processing - Aerial Photographs - Arid area - Bare soils - Beijing-1 - Built-up areas - Classification approach - Classification results - Construction materials - Data sets - Discrete elements - Extraction accuracy - Field investigation - High resolution image - Land-cover types - Landsat ETM - Maximum likelihood classifications - Mixed pixel - Multi-sensor data - Object oriented - object-oriented classification method - Object-oriented processing - Spectral characteristics - Stony deserts - Urban areas - Urban change detection - Urban environments - Urban land use
	Using bidirectional binary particle swarm optimization for feature selection in feature-level fusion recognition system (EI CONFERENCE) 会议论文 OAI收割 2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009, May 25, 2009 - May 27, 2009, Xi'an, China 作者: Wang D.; Wang Y.; Wang Y.; Wang Y.; Wang Y. 收藏 \| 浏览/下载：23/0 \| 提交时间：2013/03/25 In feature-level fusion recognition system the other is optimizing system sensor design to get outstanding cost performance. So feature selection become usually necessary to reduce dimensionality of the combination of multi-sensor features and improve system performance in system design. In general there are two main missions. One is improving the recognition correct rate as soon as possible the optimization is usually applied to feature selection because of its computational feasibility and validity. For further improving recognition accuracy and reducing selected feature dimensions this paper presents a more rational and accurate optimization Bidirectional Binary Particle Swarm Optimization (BBPSO) algorithm for feature selection in feature-level fusion target recognition system. In addition we introduce a new evaluating function as criterion function in BBPSO feature selection method. At the last we utilized Leave-One-Out method to validate the proposed method. The experiment results show that the proposed algorithm improves classification accuracy by two percentage points while the selected feature dimensions are less one dimension than original Particle Swarm Optimization approach with 16 original feature dimensions. 2009 IEEE.
	Recent development in bioluminescence tomography 期刊论文 OAI收割 CURRENT MEDICAL IMAGING REVIEWS, 2006, 卷号: 2, 期号: 4, 页码: 453-457 作者: Wang, Ge; Qian, Xin; Cong, Wenxiang; Shen, Haiou; Li, Yi 收藏 \| 浏览/下载：27/0 \| 提交时间：2015/11/06 bioluminescence imaging bioluminescence tomography finite element method Monte Carlo approach molecular optical simulation environment multi-spectral signal separation