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CAS IR Grid
机构
金属研究所 [3]
长春光学精密机械与物... [1]
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OAI收割 [4]
内容类型
期刊论文 [3]
会议论文 [1]
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2013 [1]
2010 [1]
2008 [1]
2007 [1]
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Highly efficient TIG welding of Cr13Ni5Mo martensitic stainless steel
期刊论文
OAI收割
Journal of Materials Processing Technology, 2013, 卷号: 213, 期号: 2, 页码: 229-237
S. P. Lu
;
M. P. Qin
;
W. C. Dong
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浏览/下载:104/0
  |  
提交时间:2013/12/24
Martensitic stainless steel
TIG welding
Oxygen content
Surface
tension convection
Fusion zone profile
shape variations
marangoni convection
shielding gas
Mechanisms increasing welding efficiency during new development of double shielded TIG process
期刊论文
OAI收割
Science and Technology of Welding and Joining, 2010, 卷号: 15, 期号: 6, 页码: 528-533
D. J. Li
;
S. P. Lu
;
D. Z. Li
;
Y. Y. Li
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  |  
浏览/下载:24/0
  |  
提交时间:2012/04/13
Double shielded
Marangoni convection
Welding parameters
Oxygen
content
marangoni convection
numerical-simulation
deep penetration
shape
variations
activating flux
oxide fluxes
gas
gta
oxygen
geometry
Development of an advanced A-TIG (AA-TIG) welding method by control of Marangoni convection
期刊论文
OAI收割
Materials Science and Engineering a-Structural Materials Properties Microstructure and Processing, 2008, 卷号: 495, 期号: 1-2, 页码: 296-303
H. Fujii
;
T. Sato
;
S. Lu
;
K. Nogi
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  |  
浏览/下载:58/0
  |  
提交时间:2012/04/13
Weld shape
Oxygen
Helium
Marangoni convection
Electromagnetic
convection
Double shielding gas
gas tungsten arc
shape variations
oxide fluxes
penetration
parameters
Integrated intensity, orientation code and spatial information for robust tracking (EI CONFERENCE)
会议论文
OAI收割
2007 2nd IEEE Conference on Industrial Electronics and Applications, ICIEA 2007, May 23, 2007 - May 25, 2007, Harbin, China
作者:
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
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浏览/下载:35/0
  |  
提交时间:2013/03/25
real-time tracking is an important topic in computer vision. Conventional single cue algorithms typically fail outside limited tracking conditions. Integration of multimodal visual cues with complementary failure modes allows tracking to continue despite losing individual cues. In this paper
we combine intensity
orientation codes and special information to form a new intensity-orientation codes-special (IOS) feature to represent the target. The intensity feature is not affected by the shape variance of object and has good stability. Orientation codes matching is robust for searching object in cluttered environments even in the cases of illumination fluctuations resulting from shadowing or highlighting
etc The spatial locations of the pixels are used which allow us to take into account the spatial information which is lost in traditional histogram. Histograms of intensity
orientation codes and spatial information are employed for represent the target Mean shift algorithm is a nonparametric density estimation method. The fast and optimal mode matching can be achieved by this method. In order to reduce the compute time
we use the mean shift procedure to reach the target localization. Experiment results show that the new method can successfully cope with clutter
partial occlusions
illumination change
and target variations such as scale and rotation. The computational complexity is very low. If the size of the target is 3628 pixels
it only needs 12ms to complete the method. 2007 IEEE.