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CAS IR Grid
机构
长春光学精密机械与物... [2]
计算技术研究所 [1]
过程工程研究所 [1]
武汉岩土力学研究所 [1]
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OAI收割 [5]
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期刊论文 [3]
会议论文 [2]
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2014 [1]
2013 [1]
2010 [1]
2009 [1]
2004 [1]
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Crowd Simulation and Its Applications: Recent Advances
期刊论文
OAI收割
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 2014, 卷号: 29, 期号: 5, 页码: 799
作者:
Xu MingLiang
;
Jiang Hao
;
Jin XiaoGang
;
Deng Zhigang
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/12/04
SOCIAL FORCE MODEL
PEDESTRIAN BEHAVIOR
TRAFFIC SIMULATION
NAVIGATION
ANIMATION
ENVIRONMENTS
EVACUATION
FLOW
FIELDS
crowd simulation
emergency evacuation
pedestrian crowd
crowd formation
traffic simulation
swarm simulation
Slope reliability analysis by updated support vector machine and Monte Carlo simulation
期刊论文
OAI收割
NATURAL HAZARDS, 2013, 卷号: 65, 期号: 1, 页码: 707-722
作者:
Li, Shaojun
;
Zhao, Hong-Bo
;
Ru, Zhongliang
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2018/06/05
Slope
Reliability analysis
Monte Carlo simulation
Support vector machine
Particle swarm optimization
Swarm robots task allocation based on local communication (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
Yongming Y.
;
Xihui C.
;
Qingjun L.
;
Yantao T.
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2013/03/25
Task allocation is an essential strategy to achieve effective cooperation for swarm robots. Self-organized task allocation strategy is studied and efficient labor division and regulation is realized through local interactions among individual robots based on response threshold model. Local communication mechanism is proposed for the purpose of sharing local sensation information
and the simulation experiments verify that the efficiency of task allocation is improved significantly. 2010 IEEE.
Challenges in Study of Single Particles and Particle Swarms
期刊论文
OAI收割
CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2009, 卷号: 17, 期号: 4, 页码: 535-545
作者:
Mao Zaisha
;
Yang Chao
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2013/12/05
particle
drop
bubble
swarm
interphase force
multiphase flow
numerical simulation
PSO based gabor wavelet feature extraction method (EI CONFERENCE)
会议论文
OAI收割
2004 International Conference on Information Acquisition, ICIA 2004, June 21, 2004 - June 25, 2004, Hefei, China
作者:
Sun H.
;
Zhang Y.
;
Sun H.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2013/03/25
In this paper
the time of feature extraction is faster. By test in low contrast image
2D continues Gabor wavelets are adopted to realize feature extraction. By optimize Gabor wavelet's parameters of translation
the feasibility and effectiveness of the algorithm are demonstrated by VC++ simulation platform in experiments. 2004 IEEE.
orientation
and scale to make it approximates a local image contour region. The method of Sobel edge detection is used to get the initial position and orientation value of optimization in order to improve the convergence speed. In the wavelet characteristic space
we adopt PSO (particle swarm optimization) Algorithm to identify points on the security border of the system. Comparing to the LM algorithm
it can ensure reliable convergence the target
which can improve convergent speed