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422 results on '"Sivasankar, S."'

12. Secure Dominance in Neutrosophic Graphs

Author

Sivasankar S. and Said Broumi

Subjects
dominance set, total dominance neutrosophic number, secure dominance neutrosophic number, neutrosophic total secure dominance number, Mathematics, QA1-939, Electronic computers. Computer science, QA75.5-76.95
Abstract

Secure dominance is a significant proportion of dominance which plays vital role in communication networks. In this article, we present and analyze an idea of the secured neutrosophic dominance and totally neutrosophic dominance number of neutrosophic graphs primarily based on strong arcs and the properties of both notions are studied. The terms 2- neutrosophic dominance number, 2- secured neutrosophic dominance variety, 2- totally neutrosophic dominance, and 2- secured neutrosophic dominance number also are defined. Some of their theoretical properties are investigated.

Published
2023
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13. Cyclic Symmetry of Riemann Tensor in Fuzzy Graph Theory

Author

Balaji, U S Naveen, Sivasankar, S, S, Sujan Kumar, and Tamilmani, Vignesh

Subjects
Mathematics - General Mathematics
Abstract

In this paper, we define a graph-theoretic analog for the Riemann tensor and analyze properties of the cyclic symmetry. We have developed a fuzzy graph-theoretic analog of the Riemann tensor and have analyzed its properties. We have also shown how the fuzzy analog satisfies the properties of the 6X6 matrix of the Riemann tensor by expressing it as a union of the fuzzy complete graph formed by the permuting vertex set and a Levi-Civita graph analog. We have concluded the paper with a brief discussion on the similarities between the properties of the fuzzy graphical analog and the Riemann tensor and how it can be a plausible analogous model for the Petrov-Penrose classification., Comment: 12 pages, 1 figure

Published
2019
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15. New study on Cauchy problems of fractional stochastic evolution systems on an infinite interval.

Author

Sivasankar, S., Nadhaprasadh, K., Kumar, M. Sathish, Al‐Omari, Shrideh, and Udhayakumar, R.

Subjects
*CAPUTO fractional derivatives, *STOCHASTIC analysis, *STOCHASTIC systems, *CAUCHY problem, *EVOLUTION equations
Abstract

In this study, we examine whether mild solutions to a fractional stochastic evolution system with a fractional Caputo derivative on an infinite interval exist and are attractive. We use semigroup theory, fractional calculus, stochastic analysis, compactness methods, and the measure of noncompactness (MNC) as the foundation for our methodologies. There are several suggested sufficient requirements for the existence of mild solutions to the stated problem. Examples that highlight the key findings are provided. [ABSTRACT FROM AUTHOR]

Published
2025
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17. Investigations on the Tensile and Flexural Properties of Vacuum-Infused Areca Polymer Nanocomposites

Author

Shunmugasundaram, M., Praveen Kumar, A., Amudhavalli, N. K., Sivasankar, S., Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Praveen Kumar, A., editor, Dirgantara, Tatacipta, editor, and Krishna, P. Vamsi, editor

Published
2020
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18. Correlation Involving Compressive Strength and Flexural Strength of Polyester Fiber-Reinforced Binary Blended Concrete

Author

Amudhavalli, N. K., Sivasankar, S., Shunmugasundaram, M., Praveen Kumar, A., Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Praveen Kumar, A., editor, Dirgantara, Tatacipta, editor, and Krishna, P. Vamsi, editor

Published
2020
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19. Effect of Nano Fillers on the Mechanical Behavior of Mercerized Plain Weaved Flax Fabric Reinforced Polymer Composites

Author

Praveen Kumar, A., Shunmugasundaram, M., Sivasankar, S., Amudhavalli, N. K., Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Praveen Kumar, A., editor, Dirgantara, Tatacipta, editor, and Krishna, P. Vamsi, editor

Published
2020
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20. Effect of Carbon Fiber-Reinforced Polymer Strips on Square Steel Tubular Sections Under Compression

Author

Sivasankar, S., Amudhavalli, N. K., Praveen Kumar, A., Shunmugasundaram, M., Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Praveen Kumar, A., editor, Dirgantara, Tatacipta, editor, and Krishna, P. Vamsi, editor

Published
2020
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44. Hybrid ZOA-SNN technique heat transfer enhancement of the heat exchanger.

Author

Sivasankar, S. and Prem Ananth, M.

Abstract

AbstractThis paper proposes a hybrid ZOA-SNN technique for Heat Transfer Enhancement of the Heat Exchanger. The proposed hybrid technique is the combined performance of both the Zebra Optimization algorithm (ZOA) and Spiking Neural Network. Commonly it is named as ZOA-SNN method. The proposed method’s main goals are to control temperature and optimize heat transfer (HT). The proposed technique was analyzed using an optimization technique to get a minimal pressure drop and maximum possible heat transfer efficiency for the heat exchanger design. By then, the proposed model is executed on the MATLAB work stage and the performance is calculated using the present procedures. The pressure drop for the proposed strategy is 225 pa. The temperature rise for the proposed method is 3.5 °C. When the temperature drops by 3.5 °C, the heat transfer rate is 4.5 (L/min). Better outcomes are shown by the proposed method in all approaches like Nonprofit Organization (NPO) Obstructive Sleep Apnea (OSA), Global Outstanding Assessment (GOA). From the result, it is concluded that the proposed approach-based temperature is lower and the heat transfer is maximized in contrast to current methods. [ABSTRACT FROM AUTHOR]

Published
2024
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