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Optimal and Effective Resource Management in Edge Computing

Computer Systems Science & Engineering 2023年第2期44卷 1201-1217页

作者： Darpan Majumder S.mohan kumar Department of Information Science and Engineering New Horizon College of Engineering Research CentreVisvesvaraya Technological University(VTU)BangaloreIndia Department of CSE Nagarjuna College of Engineering and TechnologyBangaloreIndia

Edge computing is a cloud computing extension where physical compu-ters are installed closer to the device to minimize *** task of edge data cen-ters is to include a growing abundance of applications with a small capability in comparison to conventional data *** this framework,Federated Learning was suggested to offer distributed data training strategies by the coordination of many mobile devices for the training of a popular Artiﬁcial Intelligence(AI)model without actually revealing the underlying data,which is signiﬁcantly enhanced in terms of *** learning(FL)is a recently developed decentralized profound learning methodology,where customers train their localized neural network models independently using private data,and then combine a global model on the core server *** models on the edge server use very little time since the edge server is highly *** the amount of time it takes to download data from smartphone users on the edge server has a signiﬁcant impact on the time it takes to complete a single cycle of FL operations.A machine learning strategic planning system that uses FL in conjunction to minimise model training time and total time utilisation,while recognising mobile appliance energy restrictions,is the focus of this *** further speed up integration and reduce the amount of data,it implements an optimization agent for the establishment of optimal aggregation policy and asylum architecture with several employees’shared *** main solutions and lessons learnt along with the prospects are *** show that our method is superior in terms of the effective and elastic use of resources.

关键词： Federated learning machine learning edge computing resource management

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Skin Lesion Classification System Using Shearlets

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Computer Systems Science & Engineering 2023年第1期44卷 833-844页

作者： S.mohan kumar T.Kumanan Department of Computer Science and Engineering Meenakshi Academy of Higher Education and ResearchChennai600078Tamil NaduIndia

The main cause of skin cancer is the ultraviolet radiation of the *** spreads quickly to other body ***,early diagnosis is required to decrease the mortality rate due to skin *** this study,an automatic system for Skin Lesion Classification(SLC)using Non-Subsampled Shearlet Transform(NSST)based energy features and Support Vector Machine(SVM)classifier is ***,the NSST is used for the decomposition of input skin lesion images with different directions like 2,4,8 and *** the NSST’s sub-bands,energy fea-tures are extracted and stored in the feature database for *** classifier is used for the classification of skin lesion *** dermoscopic skin images are obtained from PH^(2) database which comprises of 200 dermoscopic color images with melanocytic *** performances of the SLC system are evaluated using the confusion matrix and Receiver Operating Characteristic(ROC)*** SLC system achieves 96%classification accuracy using NSST’s energy fea-tures obtained from 3^(rd) level with 8-directions.

关键词： Skin lesion classification non-subsampled shearlet transform sub-band coefficients energy feature support vector machine

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An Ophthalmic Evaluation of Central Serous Chorioretinopathy

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Computer Systems Science & Engineering 2023年第1期44卷 613-628页

作者： L.K.Shoba P.mohan kumar Department of Information Technology Jeppiaar Engineering CollegeChennai600119India Department of Computer Science and Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India

Nowadays in the medicalfield,imaging techniques such as Optical Coherence Tomography(OCT)are mainly used to identify retinal *** this paper,the Central Serous Chorio Retinopathy(CSCR)image is analyzed for various stages and then compares the difference between CSCR before as well as after treatment using different application *** approach,which was focused on image quality,improves medical image *** enhancement algorithm was implemented to improve the OCT image contrast and denoise purpose called Boosted Anisotropic Diffusion with an Unsharp Masking Filter(BADWUMF).The classifier used here is tofigure out whether the OCT image is a CSCR case or not.150 images are checked for this research work(75 abnormal from Optical Coherence Tomography Image Retinal Database,in-house clinical database,and 75 normal images).This article explicitly decides that the approaches suggested aid the ophthalmologist with the precise retinal analysis and hence the risk factors to be *** total precision is 90 percent obtained from the Two Class Support Vector Machine(TCSVM)classifier and 93.3 percent is obtained from Shallow Neural Network with the Powell-Beale(SNNWPB)classifier using the MATLAB 2019a program.

关键词： OCT CSCR macula segmentation boosted anisotropic diffusion with unsharp maskingfilter two class support vector machine classifier and shallow neural network with powell-beale classifier

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Evolutionary dynamics of solitary wave profiles and abundant analytical solutions to a(3+1)-dimensional burgers system in ocean physics and hydrodynamics

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Journal of Ocean Engineering and Science 2023年第1期8卷 1-14页

作者： Sachin kumar Amit kumar Brij mohan Department of Mathematics Faculty of Mathematical SciencesUniversity of DelhiDelhi 110007India Department of Mathematics Sri Vankateswara CollegeUniversity of DelhiDelhi 110021India Department of Mathematics Hansraj CollegeUniversity of DelhiDelhi 110007India

In the fields of oceanography,hydrodynamics,and marine engineering,many mathematicians and physi-cists are interested in Burgers-type equations to show the different dynamics of nonlinear wave phenom-ena,one of which is a(3+1)-dimensional Burgers system that is currently being *** this paper,we apply two different analytical methods,namely the generalized Kudryashov(GK)method,and the generalized exponential rational function method,to derive abundant novel analytic exact solitary wave solutions,including multi-wave solitons,multi-wave peakon solitons,kink-wave profiles,stripe solitons,wave-wave interaction profiles,and periodic oscillating wave profiles for a(3+1)-dimensional Burgers sys-tem with the assistance of symbolic *** employing the generalized Kudryashov method,we obtain some new families of exact solitary wave solutions for the Burgers ***,we applied the generalized exponential rational function method to obtain a large number of soliton solutions in the forms of trigonometric and hyperbolic function solutions,exponential rational function solutions,peri-odic breather-wave soliton solutions,dark and bright solitons,singular periodic oscillating wave soliton solutions,and complex multi-wave solutions under various family *** on soft computing via Wolfram Mathematica,all the newly established solutions are verified by back substituting them into the considered Burgers ***,the dynamical behaviors of some established results are exhibited graphically through three-and two-dimensional wave profiles via numerical simulation.

关键词： Dynamical structures Burger system GERF Method Generalized kudryashov method Closed-form solutions Solitary waves

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Relative active tectonics evaluation using geomorphic and drainage indices, in Dadra and Nagar Haveli, western India

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Geodesy and Geodynamics 2022年第3期13卷 219-229页

作者： Naveen kumar Rakesh K.Dumka Kapil mohan Sumer Chopra Institute of Seismological Research(ISR) RaysanGandhinagarGujaratIndia Department of Earth Science Gujarat UniversityNavrangpuraAhmedabad380009India

The present study area,Dadra and Nagar Haveli,contains several lineaments and traces of active *** various aspect of the geomo rphic analysis,i.e.,stream length(SL) gradient,hypsometric integral(HI),basin shape(BS),valley floor(VF),have been applied to evaluate the relative index of active tectonics(RIAT) of the Damanganga *** high and low zones of tectonic activity have been identified based on the geomorphic analysis of the *** evaluation of all indices,three classes,class IIhigh(1.3 ≤RIAT <1.5),class Ⅲ-moderate(1.5 ≤RIAT <1.8),and class Ⅳ-low(1.8 ≤RIAT),have been obtained to outline the degree/gradation of comparative tectonic activities in the study *** appraised outcome of the RIAT dispersal is also well reinforced by the geomorphic evidence in the *** collective outcomes of geomorphic evidence,such as stream deflection and analysis of lineament,deflection of streams,and geomorphic indices,conceal that the Damanganga watershed is affected by tectonic activity.

关键词： Active tectonics Geomorphic indices Relative index of active tectonics(RIAT) Drainage indices

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Feature Selection with Deep Reinforcement Learning for Intrusion Detection System

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Computer Systems Science & Engineering 2023年第9期46卷 3339-3353页

作者： S.Priya K.Pradeep mohan kumar Department of Computer Science and Engineering SRM Institute of Science and TechnologyRamapuramChennai600089India Department of Computing Technologies SRM Institute of Science and TechnologyKattankulathurChennai603203India

An intrusion detection system(IDS)becomes an important tool for ensuring security in the *** recent times,machine learning(ML)and deep learning(DL)models can be applied for the identification of intrusions over the network *** resolve the security issues,this paper presents a new Binary Butterfly Optimization algorithm based on Feature Selection with DRL technique,called BBOFS-DRL for intrusion *** proposed BBOFSDRL model mainly accomplishes the recognition of intrusions in the *** attain this,the BBOFS-DRL model initially designs the BBOFS algorithm based on the traditional butterfly optimization algorithm(BOA)to elect feature ***,DRL model is employed for the proper identification and classification of intrusions that exist in the ***,beetle antenna search(BAS)technique is applied to tune the DRL parameters for enhanced intrusion detection *** ensuring the superior intrusion detection outcomes of the BBOFS-DRL model,a wide-ranging experimental analysis is performed against benchmark *** simulation results reported the supremacy of the BBOFS-DRL model over its recent state of art approaches.

关键词： Intrusion detection security reinforcement learning machine learning feature selection beetle antenna search

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Machine learning based fault detection and state of health estimation of proton exchange membrane fuel cells

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能源与人工智能(英文) 2023年第2期12卷 178-186页

作者： Vijay mohan Nagulapati SShiva kumar Vimalesh Annadurai Hankwon Lim School of Energy and Chemical Engineering Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan44919Republic of Korea Carbon Neutrality Demonstration and Research Center Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan44919Republic of Korea Department of Mechatronics Rajalakshmi Engineering CollegeChennaiTamilnaduIndia Graduate School of Carbon Neutrality Ulsan National Institute of Science and Technology50 UNIST-gilEonyang-eupUlju-gunUlsan44919Republic of Korea

In fuel cells, chemical energy is directly converted into heat and electricity without any emissions which makes them an attractive substitute for various energy needs. Fuel cells have high energy conversion ratio and highpower densities which make them suitable for automotive applications. However, these fuel cell systems suffer with low reliability and durability as system components develop faults during operation resulting in degradation and diminished system performance. In this context, fault detection and fault mitigation strategies are being extensively developed. Diagnostic approaches like electrochemical impedance spectroscopy, cyclic voltammetry, and galvanostatic analysis offer a truthful representation of the State of Health (SOH) of the fuel cell. However, these approaches are intrusive and require pausing the operation of the fuel cell effecting its integrity. Machine learning based fault detection and SOH estimation is a non-intrusive approach where a mapping function is established between the indicators and SOH. The SOH of a fuel cell can be correlated to the patterns in sensor signals or indicators. Indicators that influence SOH are cell voltages, current density distribution, impedance spectra, acoustic emission and magnetic fields. Developing an accurate fault detection and state estimation technique through data driven machine learning approaches will allow corrective measures to avoid irreversible faults and improve the reliability and durability of fuel cells.

关键词： PEM fuel cell Data driven prognostics Fault detection Dynamic load test Gaussian process regression Support vector machine Artificial neural networks

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Physical Characterization of Ionic Liquid-Modified Polyvinyl Alcohol and Sodium Thiocyanate Polymer Electrolytes for Electrochemical Double-Layer Capacitor Application

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Journal of Shanghai Jiaotong university(Science) 2023年第2期28卷 161-171页

作者： AZEMTSOP Manfo Theodore MEHRA Ram mohan kumar Yogesh GUPTA Meenal Material Research Laboratory Department of PhysicsSBSRSharda UniversityGreater Noida 201310India Department of Electronics and Communication Engineering Sharda UniversityGreater Noida 201310India Department of Physics Atma Ram Sanatan Dharma CollegeUniversity of DelhiNew Delhi 110021India

Novel gel polymer electrolytes(GPEs)composed of polyvinyl alcohol(PVA)and sodium thiocyanate were developed via a solution casting *** ionic liquid(IL),1-ethyl-3-methyl-imidazolium tricyanomethanide([EMIM][TCM]),was doped into a polymer–salt complex system(PVA+NaSCN)to further enhance the ***-doped polymer electrolyte(ILDPE)films were characterized using X-ray diffraction(XRD),polarized optical microscopy(POM),Fourier-transform infrared(FTIR)spectroscopy,and conductivity *** was performed to check the degree of crystallinity and amorphicity of the ILDPE films,and the amorphicity of GPEs increased with the increase of the IL *** was employed to evaluate the changes in the surface morphology due to the inclusion of salt and IL in the *** compositional nature of the GPE films was examined via FTIR *** electrical and electrochemical properties were characterized by cyclic voltammetry and electrochemical impedance *** maximum conductivity for the GPE film was estimated to be 1.10×10^(-5) S/cm for 6%(mass fraction)of IL in the polymer–salt *** ionic transference number was approximately *** electrochemical double-layer capacitor(EDLC)was built from optimized GPE films and reduced graphene oxide-based *** specific capacitance calculated from the cyclic voltammograms of the EDLC cells was 3 F/g.

关键词： ionic conductivity ionic liquid(IL) mobility transference number cyclic voltammetry polymer electrolyte

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Atrous Convolution-Based Residual Deep CNN for Image Dehazing with Spider Monkey-Particle Swarm Optimization

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Intelligent Automation & Soft Computing 2023年第8期37卷 1711-1728页

作者： CH.mohan Sai kumar R.S.Valarmathi Department of Electronics and Communication Engineering VelTech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India

Image dehazing is a rapidly progressing research concept to enhance image contrast and resolution in computer vision *** to severe air dispersion,fog,and haze over the environment,hazy images pose specific challenges during information *** the advances in the learning theory,most of the learning-based techniques,in particular,deep neural networks are used for single-image *** existing approaches are extremely computationally complex,and the dehazed images are suffered from color distortion caused by the over-saturation and pseudo-shadow ***,the slow convergence rate during training and haze residual is the two demerits in the conventional image dehazing *** article proposes a new architecture“Atrous Convolution-based Residual Deep Convolutional Neural Network(CNN)”method with hybrid Spider Monkey-Particle Swarm Optimization for image *** large receptive field of atrous convolution extracts the global contextual *** swarm based hybrid optimization is designed for tuning the neural network parameters during *** experiments over the standard synthetic dataset images used in the proposed network recover clear output images free from distortion and halo *** is observed from the statistical analysis that Mean Square Error(MSE)decreases from 74.42 to 62.03 and Peak Signal to Noise Ratio(PSNR)increases from 22.53 to *** proposed method with hybrid optimization algorithm demonstrates a superior convergence rate and is a more robust than the current state-of-the-art techniques.

关键词： Image dehazing computer vision convolutional neural network color distortion over-saturation pseudo-shadow phenomenon convergence rate

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Comparison of gliclazide vs linagliptin on hypoglycemia and cardiovascular events in type 2 diabetes mellitus: A systematic review

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World Journal of Diabetes 2022年第12期13卷 1168-1183页

作者： Viswanathan mohan Subhash Wangnoo Sambit Das Rajnish Dhediya kumar Gaurav Department of Diabetes Madras Diabetes Research Foundation&Dr Mohan’s Diabetes Specialties CentreChennai 600086Tamil NaduIndia Department of Diabetes Apollo Hospital Education and Research FoundationNew Delhi 110001India Department of Endocrinology Endeavour ClinicsBhubaneswar 750017India Medical Affairs Dr.Reddy’s Laboratories LtdHyderabad 500016India

BACKGROUND Cardiovascular outcome trials have demonstrated cardiovascular safety of glimepiride(a sulfonylureas) against dipeptidyl peptidase-4 inhibitor ***(another newer sulfonylureas) has shown similar glycemic efficacy and 50% decreased risk of hypoglycemia compared to *** Considering the absence of cardiovascular outcome trials for gliclazide, we decided to conduct a systematic review of the literature to assess the cardiovascular(CV) safety by assessing the risk for major adverse CV events and hypoglycemia risk of gliclazide vs linagliptin in patients with type 2 diabetes(T2D).METHODS This systematic review followed the current Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to analyze all the clinical studies published from 2008 that compared the two drugs in patients with T2D with no risk of CV disease(CVD). We included only evidence designated high quality by the Oxford Center for Evidence-based Medicine-Levels of *** Eight clinical studies were included in the narrative descriptive analysis(gliclazide: 5 and linagliptin: 3). The CV safety of gliclazide in the Action in Diabetes and Vascular Disease: Preterax and Diamicron Modified Release Controlled Evaluation trial and of linagliptin in the Cardiovascular and Renal Microvascular Outcome Study With Linagliptin(CARMELINA) and CARdiovascular Outcome study of LINAgliptin vs glimepiride in patients with T2D(CAROLINA)trials were excluded from the comparative analysis as these trials demonstrated CV and hypoglycemia benefits in patients at high risk of CVD. However, since these are landmark trials,they were discussed in brief to show the CV benefits and low hypoglycemia risk of gliclazide and linagliptin. We did not find any study comparing gliclazide with linagliptin. Hence, direct comparison of their major adverse CV events and hypoglycemia risk could not be carried ***, the literature meeting the inclusion criteria showed that b

关键词： Linagliptin Gliclazide Hypoglycemia Major cardiovascular adverse events Type 2 diabetes

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