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Numerical Analysis of the Magnetic Dipole Effect on a Radiative Ferromagnetic Liquid Flowing over a Porous Stretched Sheet

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Fluid Dynamics & Materials Processing 2024年第2期20卷 293-310页

作者： G.Dharmaiah F.Mebarek-Oudina K.S.balamurugan N.Vedavathi Department of Mathematics Narasaraopeta Engineering CollegeNarasaraopetIndia Department of Physics Faculty of SciencesUniversity of 20 Août 1955-SkikdaSkikdaAlgeria Department of Mathematics RVR&JC College of EngineeringGunturIndia Department of Mathematics Koneru Lakshmaiah Education FoundationVaddeswaramIndia

The effects of a magnetic dipole on a nonlinear thermally radiative ferromagnetic liquidﬂowing over a stretched surface in the presence of Brownian motion and thermophoresis are *** means of a similarity transformation,ordinary differential equations are derived and solved afterwards using a numerical(the BVP4C)*** impact of various parameters,namely the velocity,temperature,concentration,is presented *** is shown that the nanoparticles properties,in conjunction with the magnetic dipole effect,can increase the thermal conductivity of the engineered nanoﬂuid and,consequently,the heat *** with earlier studies indicates high accuracy and effectiveness of the numerical *** increase in the Brow-nian motion parameter and thermophoresis parameter enhances the concentration and the related boundary *** skin-friction rises when the viscosity parameter is increased.A larger value of the ferromagnetic para-meter results in a higher skin-friction and,vice versa,in a smaller Nusselt number.

关键词： Brownian motion thermo-phoresis radiation magnetic dipole BVP4C non-linear

Effect of Moringa oleifera on semen quality profiles in endangered Teressa goat under tropical humid island ecosystem

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Asian pacific Journal of Reproduction 2024年第2期13卷 89-96页

作者： P.Perumal Jai Sunder A.K.De A.K.Nahak D.K.Chaurasia T.C.balamurugan D.Bhattacharya ICAR-Central Island Agricultural Research Institute Port Blair-744105Andaman and Nicobar IslandsIndia OUAT-College of Veterinary Science and Animal Husbandry Bhubaneswar-751003OdishaIndia TANUVAS-Veterinary College and Research Institute Salem-636112Tamil NaduIndia

Objective:To investigate the effect of Moringa oleifera leaf extract on semen quality parameters in Teressa goat ***:A total of 25 semen samples from six bucks were selected for the *** of 150×10^(6) were incubated in 0,300,500 and 700μg of leaf extract as groupⅠ,Ⅱ,Ⅲ and Ⅳ,*** stored semen samples were analysed for motility,viability,total sperm abnormalities,plasma membrane,acrosomal and nuclear integrities,seminal plasma intracellular enzymes[aspartate aminotransferase(AST),alanine aminotransferase(ALT)and lactate dehydrogenase(LDH)]and total antioxidant capacity(TAC)and spermatozoa malondialdehyde(MDA)and cholesterol efflux in comparison with the control group(groupⅠ)for up to 72 ***:Moringa oleifera leaf extract(500μg/150×10^(6) spermatozoa)-treated semen had significantly higher motility,viability,plasma membrane,acrosomal and nuclear integrities,and TAC(P<0.05),and had significantly lower total sperm abnormalities,AST,ALT,LDH,MDA production and cholesterol efflux compared to those in other Moringa oleifera leaf extract treated(300 or 700μg/150×10^(6) spermatozoa)and control groups at different hours of liquid storage(P<0.05).Semen quality parameters and TAC showed an increasing trend and total sperm abnormalities,MDA production,leakage of intra-cellular enzymes and cholesterol efflux showed a decreasing trend from group Ⅰto group Ⅲand then an opposite trend from group Ⅲ to group Ⅳ at different hours of liquid ***:Moringa oleifera leaf extract 500μg/150×10^(6) spermatozoa can be used for liquid semen preservation in Teressa goat at Andaman and Nicobar Islands.

关键词： Moringa oleifera Semen Teressa goat Andaman and Nicobar Islands

Extended Deep Learning Algorithm for Improved Brain Tumor Diagnosis System

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Intelligent Automation & Soft Computing 2024年第1期39卷 33-55页

作者： M.Adimoolam K.Maithili N.M.balamurugan R.Rajkumar S.Leelavathy Raju Kannadasan Mohd Anul Haq Ilyas Khan ElSayed M.Tag El Din Arfat Ahmad Khan Department of Computer Engineering Government Polytechnic CollegeSevvapetTiruvallurTamil Nadu602025India Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyHyderabadTelangana500075India Department of Computer Science and Engineering Sri Venkateswara College of EngineeringSriperumbudurChennai602117India Department of Computer Science and Engineering Annamalai UniversityChidambaramTamil Nadu608002India Department of Computer Science and Engineering Aarupadai Veedu Institute of TechnologyVinayaka Mission Research FoundationPaiyanurTamil Nadu603104India Department of Electrical and Electronics Engineering Sri Venkateswara College of EngineeringSriperumbudur602117India Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Electrical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer Science College of ComputingKhon Kaen UniversityKhon Kaen40002Thailand

At present,the prediction of brain tumors is performed using Machine Learning(ML)and Deep Learning(DL)*** various ML and DL algorithms are adapted to predict brain tumors to some range,some concerns still need enhancement,particularly accuracy,sensitivity,false positive and false negative,to improve the brain tumor prediction system ***,this work proposed an Extended Deep Learning Algorithm(EDLA)to measure performance parameters such as accuracy,sensitivity,and false positive and false negative *** addition,these iterated measures were analyzed by comparing the EDLA method with the Convolutional Neural Network(CNN)way further using the SPSS tool,and respective graphical illustrations were *** results were that the mean performance measures for the proposed EDLA algorithm were calculated,and those measured were accuracy(97.665%),sensitivity(97.939%),false positive(3.012%),and false negative(3.182%)for ten *** in the case of the CNN,the algorithm means accuracy gained was 94.287%,mean sensitivity 95.612%,mean false positive 5.328%,and mean false negative 4.756%.These results show that the proposed EDLA method has outperformed existing algorithms,including CNN,and ensures symmetrically improved *** EDLA algorithm introduces novelty concerning its performance and particular activation *** proposed method will be utilized effectively in brain tumor detection in a precise and accurate *** algorithm would apply to brain tumor diagnosis and be involved in various medical diagnoses *** the quantity of dataset records is enormous,then themethod’s computation power has to be updated.

关键词： Brain tumor extended deep learning algorithm convolution neural network tumor detection deep learning

A Novel Framework for Learning and Classifying the Imbalanced Multi-Label Data

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Computer Systems Science & Engineering 2024年第5期48卷 1367-1385页

作者： P.K.A.Chitra S.Appavu alias balamurugan S.Geetha Seifedine Kadry Jungeun Kim Keejun Han Department of Computer Science and Engineering SRM Institute of Science and TechnologyTiruchirappalliTamil Nadu603203India Department of Computer Science and Engineering Periyar Maniammai Institute of Science&Technology(Deemed to be University)ThanjavurTamil Nadu613403India School of Computer Science and Engineering ChennaiTamil Nadu600048India Department of Applied Data Science Noroff University CollegeKristiansand4612Norway Artificial Intelligence Research Center(AIRC) College of Engineering and Information TechnologyAjman UniversityP.O.Box 346AjmanUnited Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblos10150Lebanon Department of Software Kongju National UniversityCheonan31080Republic of Korea Division of Computer Engineering Hansung UniversitySeoul02876Republic of Korea

A generalization of supervised single-label learning based on the assumption that each sample in a dataset may belong to more than one class simultaneously is called multi-label *** main objective of this work is to create a novel framework for learning and classifying imbalancedmulti-label *** work proposes a framework of two *** imbalanced distribution of themulti-label dataset is addressed through the proposed Borderline MLSMOTE resampling method in phase ***,an adaptive weighted l21 norm regularized(Elastic-net)multilabel logistic regression is used to predict unseen samples in phase *** proposed Borderline MLSMOTE resampling method focuses on samples with concurrent high labels in contrast to conventional *** minority labels in these samples are called difficult minority labels and are more prone to penalize classification *** concurrentmeasure is considered borderline,and labels associated with samples are regarded as borderline labels in the decision *** phase II,a novel adaptive l21 norm regularized weighted multi-label logistic regression is used to handle balanced data with different weighted synthetic *** on various benchmark datasets shows the outperformance of the proposed method and its powerful predictive performances over existing conventional state-of-the-art multi-label methods.

关键词： Multi-label imbalanced data multi-label learning Borderline MLSMOTE concurrent multi-label adaptive weighted multi-label elastic net difficult minority label

Factors affecting truck driver behavior on a road safety context:A critical systematic review of the evidence

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Journal of Traffic and Transportation Engineering(English Edition) 2023年第5期10卷 835-865页

作者： balamurugan Shandhana Rashmi Sankaran Marisamynathan Department of Civil Engineering National Institute of Technology(NIT)Tiruchirappalli 620015India

Road traffic injuries and crashes are one of the major public concerns contributing to mortality and morbidity figures across the *** estimated that around 90%of all causative factors for crashes are attributed to road users of which drivers are the principal controlling ***,understanding complex human driver behavior and their possible violations or errors are necessary to control and prevent accident occurrence to a considerable *** on driver behavior of commercial vehicles such as trucks are scattered widely and scarcely explored hindering the possibility of road safety *** underscores the need to excavate and synthesize the past studies for an effective understanding of human factors causing truck *** this paper,an attempt has been made to systematically review the pieces of literature and to identify the causative factors affecting truck driver *** trend of studies shows a promising framework for improving truck driver safety on taking care of human factors influencing *** kinds of literature have cited unsafe driving behaviors as a predominant source of truck *** outcomes of this research can be utilized by transportation firms and stakeholders for identifying the possible lags to develop pragmatic and possible effective preventive measures featuring truck driver safety.

关键词： Driving behavior Road safety Truck Crash Aberrant

Vibrational Spectroscopic Study of N-[4-[1-Hydroxy-2-[(1-Methyl Ethyl)Amino]Ethyl]Phenyl]Methane Sulfonamide

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光谱学与光谱分析 2016年第3期36卷 880-886页

作者： N.balamurugan S.Sampathkrishnan C.Charanya Department of Physics Sri Lakshmi Ammaal Engineering College Department of Physics Sri Venkateswara College of Engineering Research Scholar Department of PhysicsSri Venkateshwara College of Engineering

The vibrational spectral analysis was carried out by using FT-Raman and FT-IR spectroscopy in the range 4 000~400and 4 000~400cm-1 respectively,for N-[4-[1-hydroxy-2-[(1-methyl ethyl)amino]ethyl]phenyl]methane sulfonamide(HPAEPMS)*** calculations were performed by ab initio Density Functional Theory(DFT)method using 6-31G(d,p)basis *** complete vibrational assignments of wavenumbers were made on the basis of potential energy distribution(PED).The results of the calculations were applied to simulated spectra of the title compound,which show excellent agreement.

关键词： FT-IR FT-Raman DFT Vibrational analysis

Addressing demand for recombinant biopharmaceuticals in the COVID-19 era

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Asian Pacific Journal of Tropical Medicine 2021年第2期14卷 49-51页

作者： balamurugan Shanmugaraj Waranyoo Phoolcharoen Research Unit for Plant-produced Pharmaceuticals Chulalongkorn UniversityBangkokThailand Department of Pharmacognosy and Pharmaceutical Botany Faculty of Pharmaceutical SciencesChulalongkorn UniversityBangkokThailand

***-19 pandemic The emergence and re-emergence of infectious diseases in recent years demand national health care systems to develop effective surveillance mechanisms,diagnostic,treatment,and preventive *** last two d... 详细信息

关键词： diseases COV treatment

GIS-based potential assessment of floating photovoltaic systems in reservoirs of Tamil Nadu in India

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Clean Energy 2023年第3期7卷 671-689页

作者： Nagavinothini Ravichandran balamurugan Paneerselvam Nagananthini Ravichandran Independent researcher(Structural Engineering) Tamil NaduIndia Center of Excellent of Interdisciplinary Research for Sustainable Development Chulalongkorn UniversityBangkokThailand Department of Electrical Engineering and Information Technology University of Naples Federico IINaplesItaly

Floating photovoltaic systems(FPVs)are one of the emerging renewable-energy technologies suitable for implementation in land-scarce areas around the *** installation of FPVs in water bodies in highly populated countries such as India will improve renewable-energy production with added advantages in terms of efficiency,water savings and reduced carbon *** this context,the present study aims to identify suitable reservoirs for solar energy production using FPV technology in Tamil Nadu,India using geographic information system techniques.A total of 118 reservoirs located in the study area were *** results have shown that the implementation of FPV systems will significantly improve the production of renewable *** most suitable res-ervoirs with hydroelectric power plants for hybrid FPV implementation and their potential to reduce water evaporation and carbon emissions are *** results reveal that hybrid systems will generate 1542.53 GWh of power annually and also save 36.32×10^(6)m^(3)of water every *** results of this investigation will aid in fulfilling sustainable energy production in India,and the meth-odology presented may be useful for the analysis and prioritization of reservoirs for the implementation of FPV all over the world.

关键词： floating photovoltaic system evaporation carbon emission solar energy geographic information system

Regularised Layerwise Weight Norm Based Skin Lesion Features Extraction and Classification

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Computer Systems Science & Engineering 2023年第3期44卷 2727-2742页

作者： S.Gopikha M.balamurugan School of Computer Science of Engineering Bharathidasan UniversityTiruchirapalli620023India

Melanoma is the most lethal malignant tumour,and its prevalence is *** detection and diagnosis of skin cancer can alert patients to manage precautions and dramatically improve the lives of ***,deep learning has grown increasingly popular in the extraction and categorization of skin cancer features for effective prediction.A deep learning model learns and co-adapts representations and features from training data to the point where it fails to perform well on test *** a result,overfitting and poor performance *** deal with this issue,we proposed a novel Consecutive Layerwise weight Con-straint MaxNorm model(CLCM-net)for constraining the norm of the weight vector that is scaled each time and bounding to a *** method uses deep convolutional neural networks and also custom layer-wise weight constraints that are set to the whole weight matrix directly to learn features *** this research,a detailed analysis of these weight norms is performed on two distinct datasets,International Skin Imaging Collaboration(ISIC)of 2018 and 2019,which are challenging for convolutional networks to *** to thefindings of this work,CLCM-net did a better job of raising the model’s performance by learning the features efficiently within the size limit of weights with appropriate weight constraint *** results proved that the proposed techniques achieved 94.42%accuracy on ISIC 2018,91.73%accuracy on ISIC 2019 datasets and 93%of accuracy on combined dataset.

关键词： Norm overfitting regularization melanoma weight constraints