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数学与系统科学研究院 [2]
过程工程研究所 [2]
自动化研究所 [2]
力学研究所 [1]
地理科学与资源研究所 [1]
长春光学精密机械与物... [1]
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期刊论文 [9]
会议论文 [3]
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2024 [1]
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Global stability analysis of flow-induced-vibration problems using an immersed boundary method
期刊论文
OAI收割
Journal of Fluids and Structures, 2024, 卷号: 130, 页码: 104187
作者:
Zhang ZY(张治愚)
;
Lu JF(卢剑锋)
;
Zhang X(张星)
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/09/13
global stability analysis
eastically mounted cylinder
fluid–structure interaction
immersed boundary method
flow-induced vibration
LOTVS: A global collection of permanent vegetation plots
期刊论文
OAI收割
JOURNAL OF VEGETATION SCIENCE, 2022, 卷号: 33, 期号: 2, 页码: 11
作者:
Gaia Sperandii, Marta
;
de Bello, Francesco
;
Valencia, Enrique
;
Goetzenberger, Lars
;
Bazzichetto, Manuele
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2022/09/21
ecoinformatics
ecological succession
ecosystem stability
global scale
permanent plots
plant communities
plant diversity
temporal analysis
time-series
vegetation
Research on Time Comparison Based on Galileo PPP
期刊论文
OAI收割
IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE, 2021, 卷号: 24, 期号: 4, 页码: 18-22
作者:
Zhang, Jihai
;
Bong, Shaowu
;
Yuan, Haibo
;
Guang, Wei
;
Li, Wei
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/11/29
Global navigation satellite system
Observatories
Europe
Market research
Extraterrestrial measurements
Stability analysis
Orbits
Dynamical analysis in a harvested prey predator model with density dependent maturation delay
会议论文
OAI收割
27th Chinese Control and Decision Conference, CCDC 2015, Qingdao, China, May 23-25, 2015
作者:
Liu C(刘超)
;
Li JN(李金娜)
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2015/11/18
global stability analysis
maturation delay
density dependent
harvesting
The critical slip surface search of non-homogeneous slopes based on the global procedure for slope stability analysis
会议论文
OAI收割
Kunming, PEOPLES R CHINA, JUL 17-19, 2013
作者:
Sun, Cong
;
Li, Chunguang
;
Zheng, Hong
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2018/06/05
slope stability
global analysis method
non-homogeneous
smoothing
critical slip surfaces
optimization
The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:
Sun H.
;
Han H.-X.
;
Sun H.
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2013/03/25
Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring
precision
and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection
the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure
but in order to capture the change of the state space
it need a certain amount of particles to ensure samples is enough
and this number will increase in accompany with dimension and increase exponentially
this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining"
we expand the classic Mean Shift tracking framework.Based on the previous perspective
we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis
Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism
used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation
and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information
this approach also inhibit interference from the background
ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
A critical analysis on global convergence of Hopfield-type neural networks
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2005, 卷号: 52, 期号: 4, 页码: 804-814
作者:
Peng, JG
;
Xu, ZB
;
Qiao, H
;
Zhang, B
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2018/07/30
attractive
global convergence
Hopfield-type neural networks
stability analysis
A critical analysis on global convergence of Hopfield-type neural networks
期刊论文
OAI收割
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2005, 卷号: 52, 期号: 4, 页码: 804-814
作者:
Peng, JG
;
Xu, ZB
;
Qiao, H
;
Zhang, B
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2015/11/06
attractive
global convergence
Hopfield-type neural networks
stability analysis
New error estimates of Adini's elements for Poisson's equation
期刊论文
OAI收割
APPLIED NUMERICAL MATHEMATICS, 2004, 卷号: 50, 期号: 1, 页码: 49-74
作者:
Huang, HT
;
Li, ZC
;
Yan, NN
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2018/07/30
Adini's elements
Neumann problems
Poisson's equation
global superconvergence
stability analysis
A comparative study of two modeling approaches in neural networks
期刊论文
OAI收割
NEURAL NETWORKS, 2004, 卷号: 17, 期号: 1, 页码: 73-85
作者:
Xu, ZB
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2016/12/05
static neural network modeling
local field neural network modeling
recurrent neural networks
stability analysis
asymptotic stability
exponential stability
global convergence
globally attractive