scholarly journals A Text Similarity Measurement Method Based on Singular Value Decomposition and Semantic Relevance

2017 ◽  
Author(s):  
Xu Li ◽  
Chunlong Yao ◽  
Fenglong Fan ◽  
Xiaoqiang Yu
Keyword(s):  
Singular Value Decomposition ◽  
Measurement Method ◽  
Singular Value ◽  
Similarity Measurement ◽  
Text Similarity ◽  
Semantic Relevance ◽  
Value Decomposition

Kinematic calibration of a 3-DOF parallel tool head

2017 ◽  
Vol 44 (2) ◽  
pp. 231-241 ◽  
Author(s):  
Yuzhe Liu ◽  
Jun Wu ◽  
Liping Wang ◽  
Jinsong Wang ◽  
Dong Wang ◽  
...  
Keyword(s):  
Singular Value Decomposition ◽  
Parameter Identification ◽  
Measurement Method ◽  
Singular Value ◽  
Kinematic Calibration ◽  
Content Type ◽  
Identification Method ◽  
Value Decomposition ◽  
Five Axes ◽  
Calibration Approach

Purpose The purpose of this study is to develop a modified parameter identification method and a novel measurement method to calibrate a 3 degrees-of-freedom (3-DOF) parallel tool head. This parallel tool head is a parallel mechanism module in a five-axes hybrid machine tool. The proposed parameter identification method is named as the Modified Singular Value Decomposition (MSVD) method. It aims to overcome the difficulty of choosing the algorithm parameter in the regularization identification method. The novel measurement method is named as the vector projection (VP) method which is developed to expand the measurement range of self-made measurement implements. Design/methodology/approach Newton Iterative Algorithm based on Least Square Method is analyzed by using the Singular Value Decomposition method. Based on the analysis result, the MSVD method is proposed. The VP method transforms the angle measurement into the displacement measurement by taking full advantage of the ability that the 3-DOF parallel tool head can move in the X – Y plane. Findings The kinematic calibration approach is verified by calibration simulations, a Rotation Tool Center Point accuracy test and an experiment of machining an “S”-shaped test specimen. Originality/value The kinematic calibration approach with the MSVD method and VP method could be successfully applied to the 3-DOF parallel tool head and other 3-DOF parallel mechanisms.

Improving TF-IDF with Singular Value Decomposition (SVD) for Feature Extraction on Twitter

2017 ◽  
Author(s):  
Ammar Ismael Kadhim ◽  
Yu-N Cheah ◽  
Inaam Abbas Hieder ◽  
Rawaa Ahmed Ali
Keyword(s):  
Feature Extraction ◽  
Singular Value Decomposition ◽  
Singular Value ◽  
Value Decomposition

Multi-scale singular value decomposition polarization image fusion defogging algorithm and experiment

2020 ◽  
Vol 13 (6) ◽  
pp. 1-10
Author(s):  
ZHOU Wen-zhou ◽  
◽  
FAN Chen ◽  
HU Xiao-ping ◽  
HE Xiao-feng ◽  
...  
Keyword(s):  
Singular Value Decomposition ◽  
Image Fusion ◽  
Singular Value ◽  
Multi Scale ◽  
Polarization Image ◽  
Value Decomposition
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