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期刊论文 [3]
会议论文 [2]
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Cognitive shape similarity assessment for 3D part search
期刊论文
JOURNAL OF INTELLIGENT MANUFACTURING, 2017, 卷号: 28, 页码: 1679-1694
作者:
Chu, Chih-Hsing
;
Lo, Cheng-Hung
;
Cheng, Han-Chung
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  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
Product variety
Shape cognition
Part search
Part similarity
PlatEMO: A MATLAB Platform for Evolutionary Multi-Objective Optimization
期刊论文
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE, 2017, 卷号: Vol.12 No.4, 页码: 73-87
作者:
Zhang,Xingyi
;
Jin,Yaochu
;
Cheng,Ran
;
Tian,Ye
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  |  
浏览/下载:4/0
  |  
提交时间:2019/04/22
MANY-OBJECTIVE OPTIMIZATION
NONDOMINATED SORTING APPROACH
DOMINANCE RELATION
PART I
ALGORITHM
DECOMPOSITION
SEARCH
HYPERVOLUME
CONVERGENCE
CONSTRAINTS
Optimization of Stamping Parameters Using Stochastic Focusing Search Algorithm
期刊论文
ADVANCED MECHANICAL DESIGN, PTS 1-3, 2012, 卷号: Vol.479-481, 页码: 1963
作者:
Long, L
;
Song, C
;
Yin, GF
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浏览/下载:2/0
  |  
提交时间:2019/02/28
Deep drawing process
Rectangular box part
Stochastic focusing search(SFS)
BP network
Optimization of process parameters
Predatory Search Strategy for Load Distribution of Multiple Chiller Water Units for the Purpose of Energy Saving
会议论文
MANUFACTURING SCIENCE AND TECHNOLOGY, PTS 1-8, 2011-09-16
作者:
Zhang Jun[1]
;
Zhang Kanyu[2]
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浏览/下载:7/0
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提交时间:2019/04/30
Energy consumption
Energy saving
Algorithm
Predatory search
Optimal chiller load distribution
Part load
Chiller water units
Direct load control
Optimization on motion estimation algorithm based on H. 264 (EI CONFERENCE)
会议论文
2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China
Wen X.
;
Li G.
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浏览/下载:55/0
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提交时间:2013/03/25
Motion estimation is a very important part of video compression. As a result of using precision of motion vector in H.264 encoder
the computational cost increases rapidly
and motion estimation is the most time-consuming stage. In this paper
based on the UMHexagonS algorithm
an optimized algorithm is proposed based on the dynamic search window selection
big hexagon and small hexagon search mode respectively
which saves motion estimation time effectively with a little quality loss. Experiments with some typical video sequences show that compared to the original UMHexagonS algorithm
this new algorithm can save about 17.851 % motion estimation time and reduce the complexity of original scheme as well as enhance the real time performance of encoder and almost has no changes in the reconstructed picture quality and bitrates. 2010 IEEE.
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