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长春光学精密机械与物... [2]
大连理工大学 [1]
内容类型
会议论文 [3]
发表日期
2011 [1]
2010 [2]
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Non-linear compensation algorithm of LOS locating in aerial remote sensor (EI CONFERENCE)
会议论文
2011 International Conference on Electronic and Mechanical Engineering and Information Technology, EMEIT 2011, August 12, 2011 - August 14, 2011, Harbin, China
Li J.
;
Xiu J.
;
Huang P.
;
Li Y.
;
Chen L.
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浏览/下载:23/0
  |  
提交时间:2013/03/25
A non-linear light-of-sight(LOS) locating compensation algorithm for certain aerial remote sensor is presented in this paper. The LOS locating system is composed of two main components
which are an inertial reference frame to provide coarse LOS locating and a 2-axis Fast Steering Mirror to remove the frame's residual error. The azimuth and elevation of LOS are both affected by the FSM two-degree-of-freedom rotation
which should be dealt with to raise the accuracy of LOS location. This paper extrapolates LOS locating algorithm of FSM by coordinate transformation
and gives corresponding deviation analysis for different LOS poiting angles. It is found that the angle deviation grows rapidly with range of FSM's travel enlarging
so the deviation must be eliminated. Through the data analysis for deviation
a non-linear compensation algorithm is proved effective to reduce the error of LOS significantly. Taking LOS changing in [-3 deg
3 deg] as an example
two analytic expressions are given
and the LOS locating accuracy rises by 34 times compared with non-linear compensation unused
and the cross coupling of LOS loating is 0.08%. 2011 IEEE.
An improved algorithm to generate high quality progressive animation models (EI CONFERENCE)
会议论文
2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010, April 23, 2010 - April 25, 2010, Wuhan, China
Zhang S.
;
Zhao J.
;
Cao J.
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浏览/下载:18/0
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提交时间:2013/03/25
In computer graphics
investigation has been made in many years in progressive models generation to alleviate the workload of visualization processing. However
most of the existing algorithms only focus on static meshes
and very little works are to deal with animation models. In this paper
we propose an improved method for generating progressive multiresolution animation models. By the method we first use a normal deviation parameter to improve the famous QEM method as our basic edge contraction metric to generate a base hierarchy. The sequence of the simplified models is generated progressively from the first frame to the last one. Based on the edge contraction sequence in the previous frame
the contraction order in the current frame is adjusted according to the deformation degree. We demonstrate that our method works efficiently and can generate better approximations with well-preserved features than previous methods. 2010 IEEE.
Application of Cloud Theory based on Interval Number in Supplier Selection
会议论文
International Conference on Management Science and Engineering, Wuhan, PEOPLES R CHINA, 2010-01-01
作者:
Li, Chao
;
Feng, Yujun
;
Wu, Di
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浏览/下载:2/0
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提交时间:2019/12/24
supplier selection
interval number
multidimensional cloud
ideal attribute deviation degree
uncertainly deduction
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