中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
数学与系统科学研究... [20]
长春光学精密机械与... [13]
沈阳自动化研究所 [2]
力学研究所 [1]
地理科学与资源研究所 [1]
过程工程研究所 [1]
更多
采集方式
OAI收割 [38]
内容类型
期刊论文 [20]
会议论文 [17]
SCI/SSCI论文 [1]
发表日期
2019 [1]
2018 [1]
2017 [2]
2016 [1]
2015 [1]
2014 [2]
更多
学科主题
筛选
浏览/检索结果:
共38条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Consensus Protocol for Multiagent Systems With Undirected Topologies and Binary-Valued Communications
期刊论文
OAI收割
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 卷号: 64, 期号: 1, 页码: 206-221
作者:
Zhao, Yanlong
;
Wang, Ting
;
Bi, Wenjian
  |  
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2019/03/05
Binary-valued communication
consensus
convergence
convergence rate
identification method without truncation
multiagent system
two-time-scale protocol
Macroscopic damping model for structural dynamics with random polycrystalline configurations
期刊论文
OAI收割
ACTA MECHANICA SINICA, 2018, 卷号: 34, 期号: 3, 页码: 493-506
作者:
Yang, Yantao
;
Cui, Junzhi
;
Yu, Yifan
;
Xiang, Meizhen
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2018/07/30
Polycrystalline cluster
Dynamical equation
Damping coefficient
Two-scale homogenization method
Atomic-Continuum Coupled Model
Thermo-mechanical coupling analysis of statistically inhomogeneous porous materials with surface radiation by second-order two-scale method
期刊论文
OAI收割
COMPOSITE STRUCTURES, 2017, 卷号: 182, 页码: 346-363
作者:
Yang, Zhiqiang
;
Sun, Yi
;
Cui, Junzhi
;
Yang, Zihao
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2018/07/30
Second-order two-scale method
Radiation effect
Statistically inhomogeneous materials
Thermo-mechanical coupling performance
Second-order two-scale analysis and numerical algorithm for the damped wave equations of composite materials with quasi-periodic structures
期刊论文
OAI收割
APPLIED MATHEMATICS AND COMPUTATION, 2017, 卷号: 298, 页码: 201-220
作者:
Dong, Hao
;
Nie, Yufeng
;
Cui, Junzhi
;
Wu, Yatao
;
Yang, Zihao
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2018/07/30
Multiscale asymptotic analysis
Damped wave equations
Quasi-periodic structure
Second-order two-scale numerical method
Newmark scheme
Second-order two-scale computational method for ageing linear viscoelastic problem in composite materials with periodic structure
期刊论文
OAI收割
APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION, 2016, 卷号: 37, 期号: 2, 页码: 253-264
作者:
Zhang, Yang
;
Cui, Junzhi
;
Nie, Yufeng
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2018/07/30
second-order two-scale (SOTS) method
ageing
viscoelasticity
composite material
periodic structure
Second-order two-scale analysis and numerical algorithms for the hyperbolic-parabolic equations with rapidly oscillating coefficients
期刊论文
OAI收割
CHINESE PHYSICS B, 2015, 卷号: 24, 期号: 9, 页码: 14
作者:
Dong Hao
;
Nie Yu-Feng
;
Cui Jun-Zhi
;
Wu Ya-Tao
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2018/07/30
hyperbolic-parabolic equations
rapidly oscillating coefficients
second-order two-scale numerical method
Newmark scheme
Second-order two-scale method for bending behavior analysis of composite plate with 3-D periodic configuration and its approximation
期刊论文
OAI收割
SCIENCE CHINA-MATHEMATICS, 2014, 卷号: 57, 期号: 8, 页码: 1713-1732
作者:
Wang ZiQiang
;
Cui JunZhi
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2021/01/14
REISSNER-MINDLIN PLATE
second-order two-scale computational method
Reissner-Mindlin deformation pattern
composite plate
approximation analysis
Dynamic thermo-mechanical coupled response of random particulate composites: A statistical two-scale method
期刊论文
OAI收割
CHINESE PHYSICS B, 2014, 卷号: 23, 期号: 7
作者:
Yang ZiHao
;
Chen Yun
;
Yang ZhiQiang
;
Ma Qiang
  |  
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2021/01/14
PERIODIC MULTIPHASE MATERIALS
THERMOELASTIC ANALYSIS
ANNULAR FIN
HOMOGENIZATION
PARAMETERS
GRAINS
random particulate composites
statistical second-order two-scale (SSOTS) analysis method
thermo-mechanical coupling effect
numerical algorithm
A shape context based Hausdorff similarity measure in image matching
会议论文
OAI收割
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:
Ma TL(马天磊)
;
Liu YP(刘云鹏)
;
Shi ZL(史泽林)
;
Yin J(尹健)
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2013/12/26
The traditional Hausdorff measure, which uses Euclidean distance metric (L2 norm) to define the distance between coordinates of any two points, has poor performance in the presence of the rotation and scale change although it is robust to the noise and occlusion. To address the problem, we define a novel similarity function including two parts in this paper. The first part is Hausdorff distance between shapes which is calculated by exploiting shape context that is rotation and scale invariant as the distance metric. The second part is the cost of matching between centroids. Unlike the traditional method, we use the centroid as reference point to obtain its shape context that embodies global information of the shape. Experiment results demonstrate that the function value between shapes is rotation and scale invariant and the matching accuracy of our algorithm is higher than that of previously proposed algorithm on the MEPG-7 database.
A line mapping based automatic registration algorithm of infrared and visible images
会议论文
OAI收割
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:
Ai R(艾锐)
;
Shi ZL(史泽林)
;
Xu DJ(徐德江)
;
Zhang CS(张程硕)
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2013/12/26
There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.