中国科学院机构知识库网格系统: 检索

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	Bifurcation analysis on a class of three-dimensional quadratic systems with twelve limit cycles 期刊论文 OAI收割 APPLIED MATHEMATICS AND COMPUTATION, 2019, 卷号: 363, 页码: 12 作者: Guo, Laigang; Yu, Pei; Chen, Yufu \| 收藏 \| 浏览/下载：70/0 \| 提交时间：2020/01/10 3-dimensional quadratic system Symmetrical vector field Normal form Limit cycle Isochronous center
	Warm season heavy rainfall events over the Huaihe River Valley and their linkage with wintertime thermal condition of the tropical oceans SCI/SSCI论文 OAI收割 2016 作者: Li L. F.; Li, W. H.; Tang, Q. H.; Zhang, P. F.; Liu, Y. M. \| 收藏 \| 浏览/下载：31/0 \| 提交时间：2017/11/09 Heavy rainfall events Seasonal climate prediction Bayesian inference on precipitation Huaihe River Valley Normal mixture model Support vector machine asian summer monsoon surface-temperature western pacific climate variability daily precipitation eastern china late 1970s impacts teleconnection circulation
	基于DEM的地壳运动模拟系统地形拟合与控制方法研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院大学, 2015 作者: 马庆增收藏 \| 浏览/下载：74/0 \| 提交时间：2015/09/02 地壳运动模拟系统同步控制数字高程模型随机抽样一致性算法法向量地形表面拟合 Crustal movement simulation system Synchronization control Digital elevation model (DEM) Random sample consensus (RANSAC) Normal vector Land surface fitting
	Facet normal vector based adaptive slicing algorithm 会议论文 OAI收割 2010 2nd International Conference on Computer Engineering and Technology, ICCET 2010, Chengdu, China, April 16-18, 2010 作者: Wang HB(王华兵); Liu WJ(刘伟军); Bian HY(卞宏友) 收藏 \| 浏览/下载：12/0 \| 提交时间：2017/03/13 Slicing algorithm Triangular facet Normal vector
	Rigorous vector analysis of diffractive microlens by using of finitedifference time-domain method (EI CONFERENCE) 会议论文 OAI收割 2009 International Conference on Optical Instruments and Technology, OIT 2009, October 19, 2009 - October 22, 2009, Shanghai, China 作者: Liu Y.; Liu H.; Liu H.; Liu H.; Liu Y. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 We use finite difference time domain (FDFD) method as rigorous vector analysis model to simulate the focusing process of diffractive microlens (DML). Differing with most analysis model which the near field distributions are calculated by FDTD and then far field are obtained by using of propagation method we obtain the fields in whole computational space by using of FDTD only. The advantages are that all the results are vector based and the computational time is saved greatly. In this paper we present two methods to obtain wave amplitude one is comparison method and the other is integral method. Depending on wave amplitude in the whole computational space one can conveniently obtain distributions of electric field intensity and calculate the time-average Poynting vector. We also present the formulation for calculating diffractive efficiency of DML based on time-average Poynting vector which denotes energy flow. As demonstration a DML is analyzed by using of these algorithms. The time depended graphic results of FDTD show the process of wave propagation. The distribution of electric field intensity illustrates the focusing of the normal incident light. The focus pattern in the focal plane is also show. The diffractive efficiency of the DML is calculated by using of the energy flow method in this paper. The results show the high accuracy and efficiency of the model. 2009 SPIE.
	Vertex normal vector estimation methods for manifold triangular mesh 会议论文 OAI收割 International Conference on Informational Technology and Environmental System Science, Jiaozuo, China, May 15-17, 2008 作者: Wang HB(王华兵); Liu WJ(刘伟军); Bian HY(卞宏友) 收藏 \| 浏览/下载：30/0 \| 提交时间：2012/06/06 triangular mesh vertex normal vector estimation
	Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China Sun J.; Ma D. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly we use frame grabber to capture the 4-bar target image data. Then according to image gray scale we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets along with known target visibility are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.
	NS condition of admissibility for the linear estimator of normal mean with unknown variance 期刊论文 OAI收割 ACTA MATHEMATICA SINICA-ENGLISH SERIES, 2005, 卷号: 21, 期号: 5, 页码: 1083-1086 作者: Xu, XZ; Wu, QG \| 收藏 \| 浏览/下载：14/0 \| 提交时间：2018/07/30 multivariate normal distribution mean vector linear estimator admissibility