Volume-10 , Issue-3 , Jun 2022, ISSN 2321-3256 (Electronic Version) Go Back

• Open Access   Article

  Design and Analysis of Hybrid Software Defined Network System for Stability Enhancement

  J. Jeyarani, R. Deepalakshmi, R. Vanitha, M. Shivashankari, S. Shanthi

  Research Paper | Journal (IJSRNSC)

  Vol.10 , Issue.3 , pp.1-6, Jun-2022

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  Abstract
  Software-defined networks (SDNs) facilitate more efficient routing when traffic flows using centralized network view. On the other hand, traditional distributed routing still has the advantage of better scalability, robustness, and swift reaction to events such as failure. Therefore significant potential benefits to adopt a hybrid operation where both distributed and centralized routing mechanisms co-exist. This hybrid operation however imposes a new challenge to network stability since a poor and inconsistent design can lead to repeated route switching when the two control mechanisms take turns to adjust the routes. In this paper, we discuss the ways of solving the stability problem. To develop the stable networking environment three tire routing architecture is proposed. The router stability is enhanced and speed of data transfer is high in this proposed system. The router will analyze the network traffic that occurs during the data transfer and redirect to the other router. The algorithms used in this proposed systems are Support vector machine algorithm and Multilayer perception algorithm. The stability of a hybrid-software defined network involves the consistency between the centralized routing performed by the centralized controller and the distributed routing performed by the individual local routers. If these two control units are not consistent with each other, the routing decision may be overturned repeatedly as they take turns to modify the routes.

  Key-Words / Index Term
  ANN, Software-defined networks (SDNs), Support vector machine algorithm, Multilayer perception algorithm, Bandwidth enhancement

  References
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  Citation
  J. Jeyarani, R. Deepalakshmi, R. Vanitha, M. Shivashankari, S. Shanthi, "Design and Analysis of Hybrid Software Defined Network System for Stability Enhancement," International Journal of Scientific Research in Network Security and Communication, Vol.10, Issue.3, pp.1-6, 2022

• Open Access   Article

  The Double Laplace-Stieltjes Transform and their Applications in solving Integral and partial Differential Equations

  M.S. Alrazouk, M. Amer

  Research Paper | Journal (IJSRNSC)

  Vol.10 , Issue.3 , pp.7-10, Jun-2022

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  Abstract
  Most phenomena in nature are represented using ordinary or partial differential equations which are easy to solve when combined with double integral transforms, Therefore, We find many previous studies talking about double integral transformations, the most famous of which is the double Laplace transform and the double Milline transform. In our research, we present a new double transform of a special nature, which is the double Laplace-Stieltjes transform, where we are found the relationship between it and the double Laplace transform, in addition to proving some of its properties and applying them in finding solutions to partial Differential equations and Integral Equations.

  Key-Words / Index Term
  Laplace-Stieltjes Transform, Double Laplace Transform, Double Riemann-Stieltjes Integral.

  References
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  Citation
  M.S. Alrazouk, M. Amer, "The Double Laplace-Stieltjes Transform and their Applications in solving Integral and partial Differential Equations," International Journal of Scientific Research in Network Security and Communication, Vol.10, Issue.3, pp.7-10, 2022

• Open Access   Article

  The Future of Artificial Intelligence with Respect to Society: A Comprehensive Review

  Parveen Singh, Ashok Sharma, Vibha Mahajan

  Review Paper | Journal (IJSRNSC)

  Vol.10 , Issue.3 , pp.11-17, Jun-2022

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  Abstract
  Artificial Intelligence (AI) is still in its infancy but continues to bring tremendous benefits to human life and may well prove to be the most powerful technology ever invented. It has played a vital role in our society and has transformed lifestyle of humans to a massive extent. It has the potential to transform health sector, increase productivity, can play a major role in saving environment and enhance both freedom and democracy. In recent past the AI has penetrated into human’s life to a greater extent. Although this penetration has impacted into positive and negative ways on society but, this current era of Digitization can’t survive without adopting AI tools and technologies in solving highly complex and diverse societal problems. Presently, the dependency of humans on AI system has increase manifold and in near future the society may leads to explainable AI, where there are chances for every human activity to be controlled by machines. In this paper, we begin with a general introduction to the field of artificial intelligence, then progress to exploring the subsets of AI and examine their practical applicability with respect to different domains of society followed by Impactful Evaluation where the positive influence of AI in different fields has been explored. Lastly, the focus has been paid to Critical Evaluation in which the negative consequences and various challenges associated with AI has been paid attention. In conclusion, several recommendations for AI systems and their associated applications have been made to enhance its applicability in the society.

  Key-Words / Index Term
  Artificial Intelligence, Machine Learning, Model Building, Expert System.

  References
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  Citation
  Parveen Singh, Ashok Sharma, Vibha Mahajan, "The Future of Artificial Intelligence with Respect to Society: A Comprehensive Review," International Journal of Scientific Research in Network Security and Communication, Vol.10, Issue.3, pp.11-17, 2022