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Bio-Inspired Intelligent Routing in WSN: Integrating Mayfly Optimization and Enhanced Ant Colony Optimization for Energy-Efficient Cluster Formation and Maintenance

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 127-150页

作者： v.g.saranya S.Karthik Department of Electronics and Communication Engineering Faculty of Engineering&TechnologySRM Institute of Science and TechnologyVadapalani CampusChennai600026India

Wireless Sensor Networks(WSNs)are a collection of sensor nodes distributed in space and connected through wireless *** sensor nodes gather and store data about the real world around ***,the nodes that are dependent on batteries will ultimately suffer an energy loss with time,which affects the lifetime of the *** research proposes to achieve its primary goal by reducing energy consumption and increasing the network’s lifetime and *** present technique employs the hybrid Mayfly Optimization Algorithm-Enhanced Ant Colony Optimization(MFOA-EACO),where the Mayfly Optimization Algorithm(MFOA)is used to select the best cluster head(CH)from a set of nodes,and the Enhanced Ant Colony Optimization(EACO)technique is used to determine an optimal route between the cluster head and base *** performance evaluation of our suggested hybrid approach is based on many parameters,including the number of active and dead nodes,node degree,distance,and energy *** objective is to integrate MFOA-EACO to enhance energy efficiency and extend the network life of the WSN in the *** proposed method outcomes proved to be better than traditional approaches such as Hybrid Squirrel-Flying Fox Optimization Algorithm(HSFLBOA),Hybrid Social Reindeer Optimization and Differential Evolution-Firefly Algorithm(HSRODE-FFA),Social Spider Distance Sensitive-Iterative Antlion Butterfly Cockroach Algorithm(SADSS-IABCA),and Energy Efficient Clustering Hierarchy Strategy-Improved Social Spider Algorithm Differential Evolution(EECHS-ISSADE).

关键词： Enhanced ant colony optimization mayfly optimization algorithm wireless sensor networks cluster head base station(BS)

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2D Finite Element Analysis of Asynchronous Machine Influenced Under Power Quality Perturbations

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Computers, Materials & Continua 2022年第3期70卷 5745-5763页

作者： Jasmin Pamela S R.saranya v.Indragandhi R.Raja Singh v.Subramaniyaswamy Yuvaraja Teekaraman Shabana Urooj Norah Alwadai School of Electrical Engineering Vellore Institute of TechnologyVelloreIndia School of Computing SASTRA Deemed UniversityThanjavurIndia Mobility Logisticsand Automotive Technology Research CentreFaculty of EngineeringETECDepartment of Electrical Engineering and Energy TechnologyVrije Universiteit BrusselBrussel1050Belgium Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Physics College of SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Asynchronous machines are predominantly preferred in industrial sectors for its *** quality perturbations have a greater impact on industries;among the different power quality events,voltage fluctuations are the most common and that may cause adverse effect on machine’s operation since they are longer *** article discusses a numerical technique for evaluating asynchronous motors while taking into account magnetic saturation,losses,leakage flux,and voltage drop.A 2D linear analysis involving a multi-slice time stepping finite element model is used to predict the end *** an outcome,the magnetic saturation and losses are estimated using amodified 2D nonlinear time-stepping finite element *** method takes the electromagnetic fields at the ends of the motor into account using limited computer *** proposed method will greatly reduce computation timewith limited computer resources for analyzing themachine’s performance with high *** analyzed findings assist in preventing voltage variance issues in the power network system and provide suggestions for developing a robust system.

关键词： Asynchronous machine finite element model analysis voltage variations power quality multi-slice model

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Implementation of Legendre Neural Network to Solve Time-varying Singular Bilinear Systems

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Computers, Materials & Continua 2021年第12期69卷 3685-3692页

作者： v.Murugesh B.Saravana Balaji Habib Sano Aliy J.Bhuvana P.saranya Andino Maseleno K.Shankar A.Sasikala Department of Computer Science College of InformaticsBule Hora UniversityPO Box 144Ethiopia Department of Information Technology Lebanese French UniversityErbil44001Iraq Deptartment of Logistics and Supply Chain Management Arba Minch UniversitySawla CampusPO Box 13Ethiopia Department of MCA School of Computer Science and ITJain(Deemed to be)UniversityBangalore560069India Department of Computer Science and Engineering SRM Institute of Science and TechnologyChennai603203India Department of Information Systems STMIK PringsewuLampungIndonesia Department of Computer Applications Alagappa UniversityKaraikudi630003India Department of EEE Sri Sairam Institute of TechnologyChennai600044India

Bilinear singular systems can be used in the investigation of different types of engineering *** the past decade,considerable attention has been paid to analyzing and synthesizing singular bilinear *** importance lies in their real world application such as economic,ecological,and socioeconomic *** are also applied in several biological processes,such as population dynamics of biological species,water balance,temperature regulation in the human body,carbon dioxide control in lungs,blood pressure,immune system,cardiac regulation,*** singular systems naturally represent different physical processes such as the fundamental law of mass action,the DC motor,the induction motor drives,the mechanical brake systems,aerial combat between two aircraft,the missile intercept problem,modeling and control of small furnaces and hydraulic rotary multimotor *** current research work discusses the Legendre Neural Network’s implementation to evaluate time-varying singular bilinear systems for finding the exact *** results were obtained from two methods namely the RK-Butcher algorithm and the Runge Kutta Arithmetic Mean(RKAM)*** with the results attained from Legendre Neural Network Method for time-varying singular bilinear systems,the output proved to be *** such,this research article established that the proposed Legendre Neural Network could be easily implemented in *** can obtain the solution for any length of time from this method in time-varying singular bilinear systems.

关键词： Time-varying singular bilinear systems RK-butcher algorithm legendre neural network method

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Analytical Solution of the Non-Linear Equation in Biodegradation of N-Butanol in a Biofilter

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American Journal of Analytical Chemistry 2020年第4期11卷 172-186页

作者： K. saranya v. Mohan L. Rajendran Department of Mathematics Thiagarajar College of Engineering Madurai India Department of Mathematics AMET Deemed to be University Chennai India

In this paper, mathematical models of biofilm mixtures of n-butanol biofilters were discussed. The model is based on the mass transfer in the biofilm interface and chemical oxidation in the biofilm phase and gas phase. An approximate analytical expression of concentration profiles of n-butanol in the biofilm phase and gas phase has been derived using the homotopy perturbation method and hyperbolic function method for all possible values of parameters. Furthermore, in this work, the numerical simulation of the problem is also reported using the Matlab program. good agreement between the analytical and numerical results is noted. graphical results are presented and discussed quantitatively to illustrate the solution. The analytical results will be useful in finding the yields of biomass and oxygen consumption, the specific biomass surface area, activation energy and saturation constant for the Michaelis-Menten kinetics.

关键词： Mathematical Modeling Nonlinear Differential Equations Biofilters Biodegradation Diffusion Limitation Kinetics

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First molluscan antimicrobial peptide hydramacin in Manila clam:molecular characterization and expression analysis

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Journal of Coastal Life Medicine 2014年第6期 447-452页

作者： Youngdeuk Lee saranya Revathy K Sukkyoung Lee Ilson Whang Chulhong Oh Do-Hyung Kang gee-Wook Shin Jehee Lee Mahanama De Zoysa Korea Institute of Ocean Science&Technology Ansan426-744Republic of Korea Department of Marine Life Sciences School of Marine Biomedical SciencesJeju National UniversityJeju Special Self-Governing Province690-756Republic of Korea College of veterinary Medicine Chonbuk National UniversityJeonju561-756Republic of Korea Marine and Environmental Institute Jeju National UniversityJeju Special Self-Governing Province 690-814Republic of Korea College of veterinary Medicine and Research Institute of veterinary Medicine Chungnam National UniversityYuseong-guDaejeon305-764Republic of Korea

Objective:To investigate molecular characterization and the immune responses of Manila clam hydramacin(Rp-hdmc).Methods:cDNA sequence of hydramacin was isolated from Manila clam transcriptome *** characterization of hydramacin cDNA was performed by BLAST and SWISS-MODEL bioinformatics ***-specific expression and transcriptional regulation after vibrio tapetis challenge was done by quantitative real time ***:Rp-hdmc has 291 bp open reading frame(ORF),encoding 97 amino acids with a mature hydramacin consisting of 77 amino acid *** un-challenged clam,Rp-hdmc was constitutively expressed in all tested tissues and the highest expression level was detected in *** pathogenic bacteria vibrio tapetis challenge,Rp-hdmc mRNA was up-regulated in gill and ***:We identified hydramacin cDNA(Rp-hdmc)from mollusk Manila clam that shows the characteristic features of hydramacin *** has eight cysteine residues with four disulfide linkages,three helices and two β-strands in secondary *** results after *** challenges suggest that Rp-hdmc is involved in immune response against pathogenic bacteria.

关键词： Manila clam Ruditapes philippinarum Hydramacin Antimicrobial peptide

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