Reliability Model of a Homogeneous Hot-Standby k-Out-of-n: G System

2021 ◽  
pp. 358-368
Author(s):  
H. G. K. Houankpo ◽  
Dmitry Kozyrev
Keyword(s):  
Reliability Model

Digraph reliability model processing advances and applications

1993 ◽  
Author(s):  
D. Iverson ◽  
F. Patterson-Hine
Keyword(s):  
Reliability Model

DAG Reliability Model and Fault-Tolerant Algorithm for Heterogeneous Distributed Systems

2014 ◽  
Vol 36 (10) ◽  
pp. 2019-2032 ◽  
Author(s):  
Guo-Qi XIE ◽  
Ren-Fa LI ◽  
Lin LIU ◽  
Fan YANG
Keyword(s):  
Distributed Systems ◽  
Fault Tolerant ◽  
Reliability Model ◽  
Heterogeneous Distributed Systems

Nuclear Hybrid Energy System Reliability Model Progress Report

2017 ◽  
Author(s):  
Askin Guler Yigitoglu ◽  
Thomas Harrison ◽  
Michael Scott Greenwood
Keyword(s):  
System Reliability ◽  
Energy System ◽  
Progress Report ◽  
Reliability Model ◽  
Hybrid Energy System ◽  
Hybrid Energy

Face detection in single and multiple images using different skin color models

2020 ◽  
Vol 13 ◽  
Author(s):  
Manpreet Kaur ◽  
Jasdev Bhatti ◽  
Mohit Kumar Kakkar ◽  
Arun Upmanyu
Keyword(s):  
Face Detection ◽  
Skin Color ◽  
Input Image ◽  
Morphological Operations ◽  
Reliability Model ◽  
Multiple Images ◽  
Face Region ◽  
Bounding Box ◽  
The Face ◽  
Precision And Accuracy

Introduction: Face Detection is used in many different steams like video conferencing, human-computer interface, in face detection, and in the database management of image. Therefore, the aim of our paper is to apply Red Green Blue ( Methods: The morphological operations are performed in the face region to a number of pixels as the proposed parameter to check either an input image contains face region or not. Canny edge detection is also used to show the boundaries of a candidate face region, in the end, the face can be shown detected by using bounding box around the face. Results: The reliability model has also been proposed for detecting the faces in single and multiple images. The results of the experiments reflect that the algorithm been proposed performs very well in each model for detecting the faces in single and multiple images and the reliability model provides the best fit by analyzing the precision and accuracy. Moreover Discussion: The calculated results show that HSV model works best for single faced images whereas YCbCr and TSL models work best for multiple faced images. Also, the evaluated results by this paper provides the better testing strategies that helps to develop new techniques which leads to an increase in research effectiveness. Conclusion: The calculated value of all parameters is helpful for proving that the proposed algorithm has been performed very well in each model for detecting the face by using a bounding box around the face in single as well as multiple images. The precision and accuracy of all three models are analyzed through the reliability model. The comparison calculated in this paper reflects that HSV model works best for single faced images whereas YCbCr and TSL models work best for multiple faced images.

Sign in / Sign up

Export Citation Format

Share Document