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Minimizing transmission loss using inspired ant colony optimization and Markov Chain Monte Carlo in underwater WSn environment

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Journal of Ocean Engineering and Science 2019年第4期4卷 317-327页

作者： Raj Priyadarshini R sivakumar n Department of Computer Science and Engineering Pondicherry Engineering CollegeEast Coast RoadPillaichavadiPuducherry 605014India

In Underwater Wireless Sensor networks(UWSns),the most important challenging issues are propagation delay,high error probability,high latency,high communication cost,limited bandwidth,limited memory,low packet delivery ratio,and transmission *** our proposed work,the various efforts are taken to minimize the propagation delay and transmission loss during data transmission in an underwater environment.A hybrid mechanism is implemented to improve energy efficiency for faster data transmission in underwater *** the underwater environment of acoustic channel condition,propagation delay and transmission loss lead to high complexity in accessing the information and also it is difficult to obtain the Channel Status Information(CSI).To address this problem,Ant Colony Optimization(ACO)routing with Markov Chain Monte Carlo(MCMC)algorithm is used and to capture the transmission loss in the MCMC approach,CSI Forecast Prediction(FP)algorithm is *** experimental simulations are evaluated by utilizing the performance evaluation metrics such as Transmission Loss,Probability Density Function,Average Delay and *** the simulation results it is evident that the proposed algorithm,ACO-MCMC has recorded the minimum transmission loss,increase in probability density function,minimum average delay and maximum throughput of the network when compared to the existing algorithms.

关键词： UWSn ACO-MCMC CSI Markov Chain Monte Carlo Transmission loss Probability density function

Anti-dermatophytic activity of marine sponge,Sigmadocia carnosa(Dendy)on clinically isolated fungi

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Asian Pacific Journal of Tropical Biomedicine 2012年第8期2卷 635-639页

作者： nB Dhayanithi TT Ajith Kumar M Kalaiselvam T Balasubramanian n sivakumar Centre of Advanced Study in Marine Biology Faculty of Marine SciencesAnnamalai University Department of Molecular Microbiology School of BiotechnologyMadurai Kamaraj University

Objective:To screen the anti-fungal effects and find out the active metabolites from sponge, Sigmadocia carnosa(***) against four dermatophytic ***:The methanol,ethyl acetate and acetone extract of marine sponge,*** was examined against Trichaphyton mentagrophytes(***),Trichophyton rubrum(***),Epidermophyton floccosum(***) and Microsporum gypseum(***) and qualitative analysed to find out the active ***:The methanol extract of sponge was expressed significant activity than ethyl acetate and *** minimum inhibitory concentration(MIC) of methanol extract of sponge that resulted in complete growth inhibition of ***,***, *** and *** were found to 125,250,250 and 250 μg/mL ***, 100%inhibition of fungal spore germination was observed in *** at 500 μg/mL concentration followed by ***,*** and *** at 1000 μg/mL concentration. Other two extracts showed weak anti spore germination activity against the tested dermatophyte *** extracts showed presence of terpenoids,steroids,alkaloids,saponins and ***:Based on the literature,this is the first study which has conducted to inhibit the growth and spore germination of dermatophytic fungi with *** research also needs to purify and characterize the secondary metabolites from the sponge,*** for the valuable source of novel substances for future drug discovery.

关键词： Dermatophytic fungi Sigmadocia Carnosa Anti-fungal activity Spore germination assay Qualitative analysis of Active compounds

THD Analysis of Cascaded H-Bridge Inverter with Fuzzy Logic Controller

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Circuits and Systems 2017年第7期8卷 171-183页

作者： sivakumar n. Sumathi A. Department of EEE Jayalakshmi Institute of Technology Thoppur India Department of ECE Adhiyamaan College of Engineering Hosur India

In recent days, the multilevel inverter technology is widely applied to domestic and industrial applications for medium voltage conversion. But, the power quality issues of the multilevel inverter limit the usage of much sensitive equipment like medical instruments. The lower distortion level of the output voltage and current can generate a quality sinusoidal output voltage in inverters and they can be used for many applications. The harmonics can cause major problems in equipments due to the nonlinear loads connected with the power system. So, it is necessary to minimize the losses to raise its overall efficiency. In this paper, a new topology of seven level asymmetrical cascaded H-bridge multilevel inverter with a Fuzzy logic controller had been implemented to reduce the Total Harmonic Distortion (THD) and to improve the overall performance of the inverter. The proposed model is well suited for use with a solar PV application. In this topology, only six IGBT switches are used with three different voltage ratings of PV modules (1:2:4). The lower number of semiconductor switches leads to minimizing overall di/dt ratings and voltage stress on each switches and switching losses. The gate pulses generated by Sinusoidal Pulse Width Modulation (SPWM) technique with a Fuzzy logic controller are also introduced. A buck-boost converter is used to maintain the constant PV voltage level integrated by an MPPT technique followed by Perturb and Observer algorithm is also implemented. The MPPT is used to harness the maximum power of solar radiations under its various climatic conditions. The new topology is evaluated by a Matlab/Simulink model and compared with a hardware model. The results proved that the THD achieved by this topology is 1.66% and realized that it meets the IEEE harmonic standards.

关键词： Cascaded H-Bridge Multilevel Inverter THD Photo Voltaic Modules SPWM Fuzzy Logic Controller MPPT Technique

Optimal Control of Service Rates of Discrete-Time(s,Q)Queueing-Inventory Systems with Finite Buffer

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Journal of Systems Science and Systems Engineering 2024年第3期33卷 261-280页

作者： L.Iniya B.sivakumar G.Arivarignan School of Mathematics Madurai Kamaraj UniversityMaduraiTamilnaduIndia Department of Statistics Manonmaniam Sundaranar UniversityTirunelveliTamilnaduIndia

This article,we develop an optimal policy to control the service rate of a discrete time queueing-inventory system with finite *** customers arrive according to a Bernoulli process and the service time for the customers are *** the buffer size attains its maximum,any arriving new customers are considered to be *** customers are served one by one according to FCFS rule and each customers request random number of *** inventory is replenished according to a(s,Q)inventory policy with geometric lead *** main objectives of this article are to determine the service rates to be employed at each slot so that the long run expected cost rate is minimized for fixed inventory level and fixed buffer size and to minimize the expected waiting time for a fixed inventory level and fixed buffer *** problems are modelled as Markov decision *** establish the existence of a stationary policy and employ linear programming method to find the optimal service *** provide some numerical examples to illustrate the behaviour of the model.

关键词： Queueing-inventory system discrete time batch demand-Markov decision process

Smart Healthcare Activity Recognition Using Statistical Regression and Intelligent Learning

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Computers, Materials & Continua 2024年第1期78卷 1189-1205页

作者： K.Akilandeswari nithya Rekha sivakumar Hend Khalid Alkahtani Shakila Basheer Sara Abdelwahab Ghorashi Department of Computer Sciences Government Arts College(Autonomous)Salem636007India Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia

In this present time,Human Activity Recognition(HAR)has been of considerable aid in the case of health monitoring and *** exploitation of machine learning with an intelligent agent in the area of health informatics gathered using HAR augments the decision-making quality and *** many research works conducted on Smart Healthcare Monitoring,there remain a certain number of pitfalls such as time,overhead,and falsification involved during ***,this paper proposes a Statistical Partial Regression and Support Vector Intelligent Agent Learning(SPR-SVIAL)for Smart Healthcare *** first,the Statistical Partial Regression Feature Extraction model is used for data preprocessing along with the dimensionality-reduced features extraction ***,the input dataset the continuous beat-to-beat heart data,triaxial accelerometer data,and psychological characteristics were acquired from IoT wearable *** attain highly accurate Smart Healthcare Monitoring with less time,Partial Least Square helps extract the dimensionality-reduced *** that,with these resulting features,SVIAL is proposed for Smart Healthcare Monitoring with the help of Machine Learning and Intelligent Agents to minimize both analysis falsification and *** evaluation is carried out for factors such as time,overhead,and false positive rate accuracy concerning several *** quantitatively analyzed results indicate the better performance of our proposed SPR-SVIAL method when compared with two state-of-the-art methods.

关键词： Internet of Things smart health care monitoring human activity recognition intelligent agent learning statistical partial regression support vector

Insights into the anorexic mechanism of Khat:an integrated in vivo,ex vivo,and in silico investigations

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Traditional Medicine Research 2024年第10期9卷 36-51页

作者： Ahmed Ali Jerah Manal Mohamed Elhassan Taha Abdullah Farasani sivakumar Sivagurunathan Moni Emad Sayed Shaheen Andleeb Khan Ibrahim Abdo Khardali Magbool Oraiby Heyam Mohamed Ali Sidahmed Siddig Ibrahim Abdelwahab Department of Medical Laboratory Technology College of Applied Medical SciencesJazan UniversityJazan 45142Saudi Arabia Health Research Centre Jazan UniversityJazan 45142Saudi Arabia Department of Pharmaceutics College of PharmacyJazan UniversityJazan 45142Saudi Arabia Department of Biosciences Faculty of ScienceIntegral UniversityLucknow 226026India Poison Control and Medical Forensic Chemistry Center General Directorate of Health AffairsJazan 45142Saudi Arabia Department of Pharmaceutical Chemistry Faculty of PharmacyAl-Neelain UniversityKhartoum 16458Sudan

Background:Chewing Khat(Catha edulis)releases cathine and cathinone,which may reduce appetite via an unknown *** study investigated the peripheral and central effects of fresh leaves and buds of Catha edulis water extract(CEWE)on appetite biomarkers,gene expression,and body weight,using in vivo,ex vivo,and in silico ***:Rats of both sexes were orally administered CEWE at different doses and durations in three different *** chromatography-mass spectroscopy(LC-MS)-MS was used to detect cathinone and cathine in the murine *** effect of Khat on serotonin receptors was studied in isolated rat fundus *** of the two Khat ligands was performed on G(The 5-hydroxytryptamine-type 2C receptor(5-HT2C)in an agonist-bound active conformation)and H(5-HT2C in an antagonist-bound inactive conformation)proteins to determine which ligands are most likely to act as agonists or ***:Significant differences(Pn body weight were observed between the CEWE-treated groups and the controls over eight ***,the plasma leptin and ghrelin levels did not change significantly(P>0.05).The expression of the ghrelin and leptin genes was also unaffected,but the expression of the 5-hydroxytryptamine(5-HT)gene decreased(Pntagonizes 5-HT receptors in isolated rat fundus *** findings indicated that the khat ligands bound to 5-HT2C *** and cathinone levels in rat plasma were ***:Khat extract may suppress appetite by antagonizing the 5-HT *** research is required to understand its mechanism and potential applications.

关键词： Catha edulis appetite leptin ghrelin 5-hydroxytryptamine molecular docking

Sustainable Furfural Biomass Feedstocks Electrooxidation toward Value-Added Furoic Acid with Energy-Saving H_(2) Fuel Production Using Pt-Decorated Co_(3)O_(4) nanospheres

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Energy & Environmental Materials 2024年第2期7卷 350-358页

作者： Talshyn Begildayeνa Jayaraman Theerthagiri Seung Jun Lee Ahreum Min Gyeong-Ah Kim Siνakumar Manickam Myong Yong Choi Department of Chemistry(BK21 FOUR) Core-Facility Center for Photochemistry&NanomaterialsResearch Institute of Natural SciencesGyeongsang National UniversityJinju 52828South Korea Petroleum and Chemical Engineering Faculty of EngineeringUniversiti Teknologi BruneiJalan Tungku Link GadongBandar Seri Begawan BE1410Brunei Darussalam

Here,furfural oxidation was performed to replace the kinetically sluggish O_(2)evolution reaction(OER).Pt-Co_(3)O_(4)nanospheres were developed via pulsed laser ablation in liquid(PLAL)in a single step for the paired electrocatalysis of an H_(2)evolution reaction(HER)and furfural oxidation reaction(FOR).The FOR afforded a high furfural conversion(44.2%)with a major product of 2-furoic acid after a 2-h electrolysis at 1.55 V versus reversible hydrogen electrode in a 1.0-M KOH/50-mM furfural *** Pt-Co_(3)O_(4)electrode exhibited a small overpotential of 290 mV at 10 mA cm^(-2).As an anode and cathode in an electrolyzer system,the Pt-Co_(3)O_(4)electrocatalyst required only a small applied cell voltage of~1.83 V to deliver 10 mA cm^(-2),compared with that of the pure water electrolyzer(OER||HER,~1.99 V).This study simultaneously realized the integrated production of energy-saving H_(2)fuel at the cathode and 2-furoic acid at the anode.

关键词： biomass conversion electrochemical furfural oxidation overall water splitting Pt-Co_(3)O_(4)electrocatalyst pulsed laser ablation in liquid

Impact of phytoconstituents on oral health practices:a post COVID-19 observation

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Food Science and Human Wellness 2024年第5期13卷 2386-2400页

作者： Harsh Kumar Reena Singh Daljeet Singh Dhanjal Chirag Chopra natália Cruz-Martins Gheyath K.nasrallah Amin F.Majdalawieh sivakumar Manickam Shahida Anusha Siddiqui Dinesh Kumar Indu Sharma Varun Sharma School of Bioengineering&Food Technology Shoolini University of Biotechnology and Management SciencesSolan 173229India School of Bioengineering and Biosciences Lovely Professional UniversityPunjab 144402India Faculty of Medicine University of PortoPorto 4200-319Portugal Institute for Research and Innovation in Health(i3S) University of PortoPorto 4200-135Portugal Institute of Research and Advanced Training in Health Sciences and Technologies(CESPU) RuaCentral de GandraGandra 4585-116Portugal TOXRUn-Toxicology Research Unit University Institute of Health SciencesCESPUCRLGandra 4585-116Portugal Biomedical Research Center Qatar UniversityDoha 2713Qatar Department of Biomedical Science College of Health SciencesQatar UniversityDoha 2713Qatar Department of Biology Chemistryand Environmental SciencesCollege of Arts and SciencesAmerican University of SharjahSharjah 26666United Arab Emirates Petroleum and Chemical Engineering Faculty of EngineeringUniversiti Teknologi BruneiBandar Seri Begawan BE1410Brunei Campus Straubing for Biotechnology and Sustainability Technical University of MunichStraubing 94315Germany Genetic Heritage Group New York UniversityAbu Dhabi 129188United Arab Emirates Bioinformatics Division NMC Genetics India Pvt.Ltd.Gurugram 122001India

Appropriate oral hygiene significantly reduces the possibility of oral ***,dental caries and periodontal diseases are major oral health issues causing chronic diseases due to poor oral ***,herbal compounds have gained interest in maintaining oral *** of burdock root(Arctium),noni fruit(Morinda citrifolia),and neem leaf(Azadirachta indica)are now used as intracanal medicaments in endodontics and *** amboinicus species and other plants produces essential oil likeβ-caryophyllene,p-cymene,andγ-terpinene can exhibit antibacterial activity;highlighting phytoconstituents plays a vital role in oral *** COVID-19 pandemic highlighted the importance of hygiene and sanitization,to curb *** cavity is among the gateways for virus entry into *** is a potential reservoir of SARS-CoV-2,and there is an increased risk of infection if there is any fissure in the *** enables entry of virus into the vascular system through gingival or periodontal pocket,possibly reaching lung periphery then to lung vessels by interacting with endothelial surface receptors triggering pulmonary vasoconstriction and lung damage due to endothelial *** review aims to draw attention to the possible route of SARS-CoV-2 infection via the oral cavity and the importance of oral hygiene against COVID-19.

关键词： COVID-19 SARS-CoV-2 Oral Hygiene Microbiota Phytochemicals

An Efficient Deep Learning-based Content-based Image Retrieval Framework

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Computer Systems Science & Engineering 2022年第11期43卷 683-700页

作者： M.sivakumar n.M.Saravana Kumar n.Karthikeyan Department of CSE Sri Krishna College of Engineering and TechnologyAnna UniversityCoimbatoreTamil Nadu641008India Department of CSE M.Kumarasamy College of EngineeringAnna UniversityKarurTamil Nadu639113India

The use of massive image databases has increased drastically over the few years due to evolution of multimedia *** retrieval has become one of the vital tools in image processing ***-Based Image Retrieval(CBIR)has been widely used in varied ***,the results produced by the usage of a single image feature are not ***,multiple image features are used very often for attaining better ***,fast and effective searching for relevant images from a database becomes a challenging *** the previous existing system,the CBIR has used the combined feature extraction technique using color auto-correlogram,Rotation-Invariant Uniform Local Binary Patterns(RULBP)and local ***,the existing system does not provide significant results in terms of recall and ***,the computational complexity is higher for the existing CBIR *** order to handle the above mentioned issues,the Gray Level Co-occurrence Matrix(GLCM)with Deep Learning based Enhanced Convolution neural network(DLECnn)is proposed in this *** proposed system framework includes noise reduction using histogram equalization,feature extraction using GLCM,similarity matching computation using Hierarchal and Fuzzy c-Means(HFCM)algorithm and the image retrieval using DLECnn *** histogram equalization has been used for computing the image *** enhanced image has a uniform ***,the GLCM method has been used to extract the features such as shape,texture,colour,annotations and *** HFCM similarity measure is used for computing the query image vector's similarity index with every database *** enhancing the performance of this image retrieval approach,the DLECnn algorithm is proposed to retrieve more accurate features of the *** proposed GLCM+DLECnn algorithm provides better results associated with high accuracy,precision,recall,f-measure and lesser *** the experimental results,it is

关键词： Content based image retrieval(CBIR) improved gray level cooccurrence matrix(GLCM) hierarchal and fuzzy C-means(HFCM)algorithm deep learning based enhanced convolution neural network(DLECnn)