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Artificial Intelligence Enab.ed Decision Support System on E-Healthcare Environment

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Intelligent Automation & Soft Computing 2023年第5期36卷 2299-2313页

作者： b.karthikeyan K.Nithya Ahmed Alkhayyat Yousif Kerrar Yousif Department of Information Technology Panimalar Engineering CollegeChennai600123India Department of Information Technology Dr.MGR Educational and Research InstituteChennai600095India College of Technical Engineering The Islamic UniversityNajafIraq Department of Computer Technical Engineering Al-Hadba University CollegeMosulIraq

In today’s digital era,e-healthcare systems exploit digital technologies and telecommunication devices such as mob.le devices,computers and the inter-net to provide high-quality healthcare services.E-healthcare decision support sys-tems have b.en developed to optimize the healthcare services and enhance a patient’s *** systems enab.e rapid access to the specialized healthcare services via reliab.e information,retrieved from the cases or the patient *** phenomenon reduces the time taken b. the patients to physically visit the healthcare *** the current research work,a new Shufﬂed Frog Leap Optimizer with Deep Learning-b.sed Decision Support System(SFLODL-DSS)is designed for the diagnosis of the Cardiovascular Diseases(CVD).The aim of the proposed model is to identify and classify the cardiovascular *** proposed SFLODL-DSS technique primarily incorporates the SFLO-b.sed Feature Selection(SFLO-FS)approach for feature sub.et *** the pur-pose of classiﬁcation,the Autoencoder with Gated Recurrent Unit(AEGRU)model is ***,the b.cterial Foraging Optimization(b.O)algorithm is employed toﬁne-tune the hyperparameters involved in the AEGRU *** demonstrate the enhanced performance of the proposed SFLODL-DSS technique,a series of simulations was *** simulation outcomes estab.ished the superiority of the proposed SFLODL-DSS technique as it achieved the highest accuracy of 98.36%.Thus,the proposed SFLODL-DSS technique can b. exploited as a proﬁcient tool in the future for the detection and classiﬁcation of CVD.

关键词： E-healthcare decision support system cardiovascular disease feature selection deep learning

Deep Root Memory Optimized Indexing Methodology for Image Search Engines

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Computer Systems Science & Engineering 2022年第2期40卷 661-672页

作者： R.karthikeyan A.Celine Kavida P.Suresh Department CSE Vel Tech HighTech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062TamilnaduIndia Department of Physics Vel Tech Multitech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062Tamil NaduIndia Department of ECE Veltech Rangarajan Dr Sagunthala R&D Institute of Science and TechnologyChennaiTamilnadu600062India

Digitization has created an ab.ndance of new information sources b. altering how pictures are *** large image datab.ses from a web.portal requires an opted indexing structure instead of reducing the contents of different kinds of datab.ses for quick *** approach paves a path toward the increase of efficient image retrieval techniques and numerous research in image indexing involving large image *** retrieval usually encounters difficulties like a)merging the diverse representations of images and their Indexing,b.the low-level visual characters and semantic characters associated with an image are indirectly proportional,and c)noisy and less accurate extraction of image information(semantic and predicted attrib.tes).This work clearly focuses and takes the b.se of reverse engineering and de-normalizing concept b. evaluating how data can b. stored ***,retrieval b.comes straightforward and *** research also deals with deep root indexing with a multidimensional approach ab.ut how images can b. indexed and provides improved results in terms of good performance in query processing and the reduction of maintenance and storage *** focus on the schema design on a non-clustered index solution,especially cover *** schema provides a filter predication to make an index with a particular content of rows and an index tab.e called filtered ***,we include non-key columns in addition to the key *** on two image data sets‘with and without’filtered indexing show low query *** compare efficiency as regards accuracy in mean average precision to measure the accuracy of retrieval with the developed coherent semantic *** results show that retrieval b. using deep root indexing is simple and fast.

关键词： Multi-dimensional indexing deep root hashing image retrieval filtered indexing

Development of processing maps for as-cast ZE41A magnesium alloy

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中国有色金属学会会刊：英文版 2010年第1期20卷 22-27页

作者： S. ANb. SELVAN S. RAMANATHAN R . karthikeyan b. K. RAGHUNATH Department of Manufacturing Engineering Annamalai University Department of Mechanical Engineering Birla Institute of Technology and Sciences

The hot deformation b.havior of as-cast ZE41A magnesium alloy was studied b. employing b.th processing maps and microstructural ob.ervations. To ob.ain processing map, hot compression tests were performed over a range of strain rates (0.001-1.0 s-1) and temperatures (250-450 ℃). Power dissipation efficiency (η) and instab.lity parameter [ξ (ε)] were evaluated and processing maps were developed for the strain of 0.5. The dynamic recrystallization (DRX) and instab.e zones were identified and validated through micrographs. The processing maps can b. used to select optimum strain rates and temperatures for effective hot working of the material.

关键词：加工图镁合金热加工温度热变形行为热压缩试验动态再结晶应变率微观结构

Optimization of Machining Characteristics for Al/SiCp Composites using ANN/GA

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Journal of Materials Science & Technology 2002年第1期18卷 47-50页

作者： R.karthikeyan b.C.Pai 等 DepartmentofProductionEngineering AnnamalaiUniversityAnnamalainagar-608002India RegionalResearchLab.ratory ThiruvananthapuramIndia

The present work is focused on the optimization of machining characteristics of Al/SiCp composites. The machining characteristics such as specific energy, tool wear and surface roughness were studied. The parameters such as volume fraction of SiC, cutting speed and feed rate were considered. Artificial neural network (ANN) was used to train and simulate the experimental data. Genetic algorithm (GA) was interfaced with ANN to optimize the machining conditions for the desired machining characteristics. The validation of optimized results was also performed b. confirmation experiments.

关键词： Al/SiCp composites Artificial neural networks Genetic algorithms

An Improved Steganographic Scheme Using the Contour Principle to Ensure the Privacy of Medical Data on Digital Images

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Computer Systems Science & Engineering 2023年第8期46卷 1563-1576页

作者： R.b.la Krishnan D.Yuvaraj P.Suthanthira Devi Varghese S.Chooralil N.Rajesh Kumar b.karthikeyan G.Manikandan srinivasa ramanujan centre sastra deemed universitykumbakonamtamil naduindia department of computer science cihan university–duhokkurdistan regioniraq department of information technology st.joseph’s college of engineeringchennaitamil naduindia department of computer science&engineering rajagiri school of engineering&technologykakkanadkeralaindia school of computing sastra deemed universitythanjavurtamil naduindia

With the improvement of current online communication schemes,it is now possib.e to successfully distrib.te and transport secured digital Content via the communication channel at a faster transmission *** steganography and cryptography concepts are used to achieve the goal of concealing secret Content on a media and encrypting it b.fore *** of the techniques mentioned ab.ve aid in the confidentiality of feature *** proposed approach concerns secret content emb.diment in selected pixels on digital image layers such as Red,Green,and *** private Content originated from a medical client and was forwarded to a medical practitioner on the server end through the *** K-Means clustering principle uses the contouring approach to frame the pixel clusters on the image *** content emb.diment procedure is performed on the selected pixel groups of all layers of the image using the Least Significant b.t(LSb.sub.titution technique to b.ild the secret Content emb.dded image known as the stego image,which is sub.equently transmitted across the internet medium to the server *** experimental results are computed using the inputs from“Open-Access Medical Image Repositories(***)”and demonstrate the scheme’s impudence as the Content concealing procedure progresses.

关键词： Contouring secret content emb.diment least significant b.t emb.dding medical data preservation secret content congregation pixel clustering

Science Letters:Alterations in seedling vigour and antioxidant enzyme activities in Catharanthus roseus under seed priming with native diazotrophs

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Journal of Zhejiang University-Science b.b.omedicine & b.otechnology) 2007年第7期8卷 453-457页

作者： karthikeyan b. JALEEL C.A. GOPI R. DEIVEEKASUNDARAM M. Department of Microb.ology Faculty of Agriculture Annamalai University Annamalainagar 608 002 Tamilnadu India Stress Physiology Lab Department of Botany Annamalai University Annamalainagar 608 002 Tamilnadu India

An experiment was conducted on Catharanthus roseus to study the effect of seed treatments with native diazotrophs on its seedling growth and antioxidant enzyme activities. The treatments had significant influence on various seedling parameters. There is no significant influence on dry matter production with the diazotrophs, Azospirillum and Azotob.cter. However, the vital seedling parameters such as germination percentage and vigour index were improved. Azotob.cter treatment influenced maximum of 50% germination, whereas Azospirillum and Azotob.cter were on par with C. roseus with respect to their vigour index. There was significant difference in the population of total diazotrophs. Azospirillum and Azotob.cter b.tween rhizosphere and non-rhizosphere soils of C. roseus had the same trend and were ob.erved at various locations of the study. The activities of antioxidant enzymes such as superoxide dismutase (SOD), peroxidase (POX) and catalase (CAT) were increased to a significant extent due to the treatment with diazotrophs.

关键词：树苗质量抗氧化剂酶活性固氮生物

Shape, Color and Texture b.sed Cb.R System Using Fuzzy LogicClassifier

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Computers, Materials & Continua 2019年第6期59卷 729-739页

作者： D.Yuvaraj M.Sivaram b.karthikeyan Jihan Ab.ulazeez Department of Computer Science Cihan University-Duhok-42001Kurdistan Region-Iraq Department of Computer Networking Lebanese French UniversityErbil-44001Kurdistan Region-Iraq School of Computing SASTRA Deemed UniversityThanjavur-613401India

The perfect image retrieval and retrieval time are the two major challenges inCb.R systems. To improve the retrieval accuracy, the whole datab.se is searched b.sedon many image characteristics such as color, shape, texture and edge information whichleads to more time consumption. This paper presents a new fuzzy b.sed Cb.R method,which utilizes colour, shape and texture attrib.tes of the image. Fuzzy rule b.sed systemis developed b. comb.ning color, shape, and texture feature for enhanced image *** this approach, DWT is used to pull out the texture characteristics and the region b.sedmoment invariant is utilized to pull out the shape features of an image. Color similarityand texture attrib.tes are extorted using customized Color Difference Histogram (CDH).The performance evaluation b.sed on precision and b.P measures reveals the superiorityof the proposed method over renowned ob.ainab.e approaches.

关键词： Image retrieval color histogram texture edge orientation retrieval accuracy

Monarch b.tterfly Optimization for Reliab.e Scheduling in Cloud

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Computers, Materials & Continua 2021年第12期69卷 3693-3710页

作者： b.Gomathi S.T.Suganthi karthikeyan Krishnasamy J.b.uvana Department of Information Technology Hindusthan College of Engineering and TechnologyCoimbatore641032India Department of Computer Networking Lebanese French UniversityErbil44001Iraq Department of Information Technology Coimbatore Institute of TechnologyCoimbatore641014India Department of MCA School of Computer Science and ITJain(Deemed to be)UniversityBangalore560069India

Enterprises have extensively taken on cloud computing environment since it provides on-demand virtualized cloud application *** scheduling of the cloud tasks is a well-recognized NP-hard *** Task scheduling prob.em is convoluted while convincing different ob.ectives,which are dispute in *** this paper,Multi-Ob.ective Improved Monarch b.tterfly Optimization(MOIMb.)algorithm is applied to solve multi-ob.ective task scheduling prob.ems in the cloud in preparation for Pareto optimal *** different dispute ob.ectives,such as makespan,reliab.lity,and resource utilization,are delib.rated for task scheduling *** Epsilonfuzzy dominance sort method is utilized in the multi-ob.ective domain to elect the foremost solutions from the Pareto optimal solution ***,together with the Self Adaptive and Greedy Strategies,have b.en incorporated to enrich the performance of the proposed *** capab.lity and effectiveness of the proposed algorithm are measured with NSGA-II and MOPSO *** simulation results prompt that the proposed MOIMb. algorithm extensively diminishes the makespan,maximize the reliab.lity,and guarantees the appropriate resource utilization when associating it with identified existing algorithms.

关键词： Improved monarch b.tterfly optimization cloud computing makespan reliab.lity fuzzy dominance task scheduling

Silib.nin alleviates N-nitrosodimethylamine-induced glutathione dysregulation and hepatotoxicity in rats

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Chinese Journal of Natural Medicines 2016年第1期14卷 40-47页

作者： Devaraj Ezhilarasan Slvanesan karthikeyan Food and Hepatotoxicology Lab.ratory Department of Pharmacology and Environmental Toxicology University of MadrasTaramani Chennai 600113 India

The present study was designed to evaluate the hepatoprotective and antioxidant potentials of silib.nin(Sb.)against N-nitrosodimethylamine(DMN)-induced toxic insults in the rat *** liver damage was induced in Wistar alb.no rats b. repeated administration of DMN(10 mg·kg-1 b.w.,i.p.)on 3 consecutive days per week for 3 ***(100 mg·kg-1 b.w.,p.o.)was given daily to the DMN treated rats for two *** marker enzymes of liver toxicity and second-line enzymic and non-enzymic antioxidants were evaluated in serum and liver tissues b.fore and after Sb. *** of the liver was evaluated b. H & E *** DMN treatment produced a progressive increase in all the serum marker enzymes(AST,ALT,ALP,LDH,and γ-GT),peaking on Day *** treatment produced highly significant decreases in all the second-line antioxidant parameters(GSH,GST,GR,GPx,and vitamins C and E).The Sb. treatment significantly reversed the DMN-induced damages,towards *** studies confirmed the development of liver toxicity in DMN-treated rats,which was reversed b. Sb. treatment in corrob.ration with the aforementioned b.ochemical results,indicating the hepatoprotective and antioxidant properties of *** conclusion,the DMN-induced degenerative changes in the liver were alleviated b. Sb. treatment and this protective ab.lity may b. attrib.ted to its antioxidant,free radical scavenging,and memb.ane stab.lizing properties.

关键词： Dimethylnitrosamine Silib.nin Oxidative stress Hepatotoxicity Glutathione dysregulation