Isomorphic graph

2011 ◽  
Keyword(s):  
Isomorphic Graph

scholarly journals A counterexample to the pseudo 2-factor isomorphic graph conjecture

2015 ◽  
Vol 193 ◽  
pp. 57-60
Author(s):  
Jan Goedgebeur
Keyword(s):  
Isomorphic Graph

Proposed Isomorphic Graph Model for Risk Assessment on a Unix Operating System

2015 ◽  
pp. 456-469
Author(s):  
Prashant Kumar Patra ◽  
Padma Lochan Pradhan
Keyword(s):  
Operating System ◽  
Risk Assessment ◽  
Risk Mitigation ◽  
Graph Model ◽  
Optimization Method ◽  
Unix Operating System ◽  
Isomorphic Graph ◽  
Proposed Model ◽  
Business Requirement ◽  
System Resources

Control and risk are the two parts of the coin. Risk assessment is the process of identifying uncertainties, vulnerabilities and threats to the operating system resources in order to achieve business objectives. Risk evaluation involved deciding what counter measures to take in reducing uncertainty to the lowest level of risk. Control is probably the most important aspect of communications security and becoming increasingly important as basic building block for system security. Advanced Encryption Standard (AES) is a primary method of protecting system resources. AES is inversely proportional to the Risk (C=K/R) & mean while control is directly proportional to the quality of standard. AES Control will be optimize the risk as well as improve the IS standard. Control is directly proportional to risk mitigation & mitigation is directly proportional to standard. This paper contributes to the development of an optimization method that aims to determine the optimal cost to be invested into security method, model & mechanisms deciding on the measure component of operating system resources (i.e. Processor, Memory & Encryption). Furthermore, the method & mechanism optimize the cost, time & resources is supposed to optimize the system risks. The proposed model would be update the value of Processor, Memory & Encryption key dynamically as per business requirement and availability of technology & resources. Proposed model is going to be optimizing risk and maximizing the performance. In this study the researchers develop an isomorphic graph model for optimizing risk in the Unix operating system.

Isomorphism Classes of Graph Bundles

1990 ◽  
Vol 42 (4) ◽  
pp. 747-761 ◽  
Author(s):  
Jin Ho Kwak ◽  
Jaeun Lee
Keyword(s):  
Algebraic Characterization ◽  
Cohomology Groups ◽  
Isomorphism Classes ◽  
Isomorphic Graph ◽  
Double Coverings

AbstractRecently, M. Hofmeister [4] counted all nonisomorphic double coverings of a graph by using its Ζ2 cohomology groups, and J. Kwak and J. Lee [5] did the same work for some finite-fold coverings. In this paper, we give an algebraic characterization of isomorphic graph bundles, from which we get a formula to count all nonisomorphic graph-bundles. Some applications to wheels are also discussed.

scholarly journals Proof of Four Color Map Theorem by Using PRN of Graph

2014 ◽  
Vol 11 ◽  
pp. 26-30
Author(s):  
H.R. Bhapkar ◽  
J.N. Salunke
Keyword(s):  
Chromatic Number ◽  
Simple Proof ◽  
Planar Graphs ◽  
Isomorphic Graph ◽  
Color Map

This paper intends to study the relation between PRN and chromatic number of planar graphs. In this regard we investigate that isomorphic or 1 isomorphic graph may or may not have equal PRN and few other related results. Precisely, we give simple proof of Four Color Map Theorem.

Proposed Isomorphic Graph Model for Risk Assessment on a Unix Operating System

2013 ◽  
Vol 2 (3) ◽  
pp. 49-62
Author(s):  
Prashant Kumar Patra ◽  
Padma Lochan Pradhan
Keyword(s):  
Operating System ◽  
Risk Assessment ◽  
Risk Mitigation ◽  
Graph Model ◽  
Optimization Method ◽  
Unix Operating System ◽  
Isomorphic Graph ◽  
Proposed Model ◽  
Business Requirement ◽  
System Resources

Control and risk are the two parts of the coin. Risk assessment is the process of identifying uncertainties, vulnerabilities and threats to the operating system resources in order to achieve business objectives. Risk evaluation involved deciding what counter measures to take in reducing uncertainty to the lowest level of risk. Control is probably the most important aspect of communications security and becoming increasingly important as basic building block for system security. Advanced Encryption Standard (AES) is a primary method of protecting system resources. AES is inversely proportional to the Risk (C=K/R) & mean while control is directly proportional to the quality of standard. AES Control will be optimize the risk as well as improve the IS standard. Control is directly proportional to risk mitigation & mitigation is directly proportional to standard. This paper contributes to the development of an optimization method that aims to determine the optimal cost to be invested into security method, model & mechanisms deciding on the measure component of operating system resources (i.e. Processor, Memory & Encryption). Furthermore, the method & mechanism optimize the cost, time & resources is supposed to optimize the system risks. The proposed model would be update the value of Processor, Memory & Encryption key dynamically as per business requirement and availability of technology & resources. Proposed model is going to be optimizing risk and maximizing the performance. In this study the researchers develop an isomorphic graph model for optimizing risk in the Unix operating system.

scholarly journals Feature level fusion of face and palmprint biometrics by isomorphic graph-based improved K-medoids partitioning

2010 ◽  
Author(s):  
Dakshina Ranjan Kisku ◽  
Phalguni Gupta ◽  
Jamuna Kanta Sing
Keyword(s):  
Isomorphic Graph ◽  
Feature Level Fusion ◽  
Level Fusion

Finding the isomorphic graph with the use of algorithms based on DNA

2010 ◽  
Author(s):  
Ali Etemadi ◽  
Mohamm Ebadzadeh ◽  
Mehdi Eatemadi
Keyword(s):  
Isomorphic Graph
Sign in / Sign up

Export Citation Format

Share Document