Development of Intrusive Uncertainty Quantification Method Based on Edge Detection Technique

2019 ◽  
Vol 2019.29 (0) ◽  
pp. 3103
Author(s):  
Shigetaka KAWAI ◽  
Akira OYAMA
Keyword(s):  
Edge Detection ◽  
Uncertainty Quantification ◽  
Detection Technique ◽  
Quantification Method

An edge detection technique based on geometrical features

2011 ◽  
Author(s):  
Hongjie Wu ◽  
Baochuang Fu ◽  
Yin Zhu ◽  
Jianlan Ji ◽  
Fuyuan Hu
Keyword(s):  
Edge Detection ◽  
Detection Technique ◽  
Geometrical Features

scholarly journals ANALYSIS OF UNCERTAINTY QUANTIFICATION METHOD BY COMPARING MONTE-CARLO METHOD AND WILKS’ FORMULA

2014 ◽  
Vol 46 (4) ◽  
pp. 481-488 ◽  
Author(s):  
SEUNG WOOK LEE ◽  
BUB DONG CHUNG ◽  
YOUNG-SEOK BANG ◽  
SUNG WON BAE
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Uncertainty Quantification ◽  
Quantification Method

scholarly journals A Cellular Automata based Optimal Edge Detection Technique using Twenty-Five Neighborhood Model

2013 ◽  
Vol 84 (10) ◽  
pp. 27-33 ◽  
Author(s):  
Deepak RanjanNayak ◽  
Sumit Kumar Sahu ◽  
Jahangir Mohammed
Keyword(s):  
Cellular Automata ◽  
Edge Detection ◽  
Detection Technique

scholarly journals Review of the evaluation of the key nodes in quality system management based on the uncertainty quantification method

2021 ◽  
Vol 336 ◽  
pp. 09011
Author(s):  
Jun Wang ◽  
Qiang Ye ◽  
Chi Zhang ◽  
Tong Zhang ◽  
Shicheng Li
Keyword(s):  
Quality Management ◽  
Uncertainty Quantification ◽  
Management System ◽  
Quality Management System ◽  
Weak Link ◽  
Quality System ◽  
System Management ◽  
Quantification Method ◽  
Key Nodes

To explore the relatively weak link of the quality management system, the evaluation of the key nodes in quality system management is the crucial method for the enterprises and organizations. However, due to inadequate understanding of the goals and principles, the evaluation results are difficult to meet the requirements. Therefore, in this paper we normalize the evaluation of the quality management system and discuss the methods of uncertainty quantification as the supplementary for evaluation which brings the more accurate results for improvement suggestions.

scholarly journals Novel Adaptive Neuro-Fuzzy based Edge Detection Technique

2012 ◽  
Vol 49 (4) ◽  
pp. 23-27
Author(s):  
Suryakant Suryakant ◽  
Renu Dhir
Keyword(s):  
Edge Detection ◽  
Detection Technique ◽  
Neuro Fuzzy
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