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Chinese Journal of Electrical Engineering 2024年第2期10卷 93-102页

作者： Prabhakaran koothu kesavan A.karthikeyan Manoj kumar sushant Mandal Renewable Energy Laboratory Prince Sultan UniversityRiyadh 11586Saudi Arabia Department of Electrical and Electronics Engineering National Institute of Technology KarnatakaMangalore 575025India

The output power generation of a photovoltaic(PV)array reduces under partial shading,resulting in multiple local maxima in the PV characteristics and inaccurate tracking of the global maximum power point(GMPP).Various interconnection schemes are available to reduce power losses under partial *** this study,a primary key algorithm is proposed for distributing shading across an *** method is suitable for any n×n PV array configuration and involves fewer calculations and variables,leading to reduced computational *** power generations of a 9×9 PV array under four different shading conditions were compared with the configurations of:total cross-tied(TCT)and su Du ku,physical relocation and fixed column position of modules with fixed electrical connection(PRFCPM-FEC),and magic square(Ms)and improved-odd-even-prime(IOEP).The advantage of the proposed method is that once the primary key elements are obtained,the remaining array elements are numbered in a simpler *** results obtained using the proposed arrangement show that the power is enhanced with reference to the TCT and is comparable to the su Do ku,PRFCPM-FEC,Ms,and IOEP reconfigurations.

关键词： Photovoltaic(PV)array partial shading global maximum power point(GMPP) power loss primary key

EXIsTEnCE AnD UnIQUEnEss REsULTs FOR BOUnDARY VALUE PROBLEMs OF HIGHER ORDER FRACTIOnAL InTEGRO-DIFFEREnTIAL EQUATIOns InVOLVInG GROnWALL's InEQUALITY In BAnACH sPACEs

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Acta Mathematica scientia 2013年第3期33卷 758-772页

作者： Dimplekumar n. CHALIsHAJAR k. karthikeyan Department of Mathematics and Computer science Virginia Military Institute (VMI) 417 Mallory HallLexington VA 24450 USA Department of Mathematics KSR College of TechnologyTiruchengode-637 215 Tamilnadu India

We study boundary value problems for fractional integro-differential equations involving Caputo derivative of order α∈ （n-1, n） in Banach spaces. Existence and uniqueness results of solutions are established by virtue of the Holder＇s inequality, a suitable singular Cronwall＇s inequality and fixed point theorem via a priori estimate method. At last, examples are given to illustrate the results.

关键词： Boundary value problems fractional order integro-differential equations bound-ary value problems existence and uniqueness singular gronwall inequality fixed point theorem

Pre screening of Cervical Cancer Through Gradient Boosting Ensemble Learning Method

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Intelligent Automation & soft Computing 2023年第3期35卷 2673-2685页

作者： s.Priya n.k.karthikeyan D.Palanikkumar Coimbatore Institute of Technology CoimbatoreIndia Dr.nGP Institute of Technology CoimbatoreIndia

In recent years,cervical cancer is one of the most common diseases which occur in any woman regardless of any *** is the deadliest disease since there were no symptoms shown till it is diagnosed to be the last *** women at a certain age,it is better to have a proper screening for cervical *** most underdeveloped nations,it is very difﬁcult to have frequent scanning for cervical *** Mining and machine learning methodologies help widely inﬁnding the important causes for cervical *** proposed work describes a multi-class classiﬁcation approach is implemented for the dataset using support Vector Machine(sVM)and the perception learning *** is known that most classiﬁcation algorithms are designed for solving binary classiﬁcation *** a heuristic approach,the problem is addressed as a multiclass classiﬁcation problem.A Gradient Boosting Machine(GBM)is also used in implementation in order to increase the classiﬁer *** proposed model is evaluated in terms of accuracy,sensitivity and found that this model works well in identifying the risk factors of cervical cancer.

关键词： Cervical cancer sVM GBM ensemble learning

Efficacy of a Diabetes specific nutrition supplement on Glycemic, Anthropometric, Dietary and Gut Health Markers in Adults with Type 2 Diabetes: An RCT

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Food and nutrition sciences 2024年第8期15卷 846-867页

作者： Deepti khanna Hema s. Gopalan kuzhandaivelu Abirami Vasudevan sudha Rajagopal Gayatri kejal Joshi-Reddy Jaladhi Bhatt Raman Ganesh Jeevan karthikeyan Parkavi Vadivel Deepika Manoj Pareek Ranjit Mohan Anjana Viswanathan Mohan R&D Department Hindustan Unilever Limited Gurugram India Department of Foods Nutrition & Dietetics Research Madras Diabetes Research Foundation Chennai India Department of Diabetology Dr. Mohans Diabetes Specialities Centre Chennai India

With increasing incidence of diabetes, use of diabetes specific nutrition supplements (Dsns) is common for better management of the disease. To study effect of 12-week Dsns supplementation on glycemic markers, anthropometry, lipid profile, sCFAs, and gut microbiome in individuals with diabetes. Markers studied were glycemic [Fasting Blood Glucose (FBG), Post Prandial Glucose (PPG), HbA1c, Incremental Area under curve (iAUC), Mean Amplitude of Glycemic Excursions (MAGE), Time in/above Range (TIR/TAR)], anthropometry [weight, Body Mass Index (BMI), waist circumference (WC)], lipid profile, diet and gut health [plasma short chain fatty acids (sCFAs)]. n = 210 adults were randomized to receive either Dsns with standard care (Dsns + sC;n = 105) or standard care alone (sC alone;n = 105). After 12 weeks, significant differences between Dsns + sC versus sC alone was observed in FBG [−3 ± 6 vs 14 ± 6 mg/dl;p = 0.03], PPG [−35 ± 9 vs −3 ± 9 mg/dl;p = 0.01], weight [−0.6 ± 0.1 vs 0.2 ± 0.1 kg;p = 0.0001], BMI [−0.3 ± 0.1 vs 0.1 ± 0.1 kg/m2;p = 0.0001] and WC [−0.3 ± 0.2 vs 0.2 ± 0.2 cm;p = 0.01]. HbA1C and low-density lipoprotein (LDL) were significantly reduced in Dsns + sC [−0.2 ± 0.9;p = 0.04 and −5 mg/dl;p = 0.03] respectively with no change in control. Continuous Glucose Monitoring (CGM) reported significant differences between Dsns + sC versus sC alone for mean glucose [−12 ± 65 vs 28 ± 93 mg/dl;p s 7 ± 45 mg/dl;p = 0.04], TAR 250 [−3 ± 27 vs 9 ± 38 mg/dl;p = 0.05], iAUC [−192 (1.1) vs −48 (1.1) mg/dl;p = 0.03]. MAGE was significantly reduced for both Dsns + sC (−19 ± 67;p nd sC alone (−8 ± 70;p = 0.04), with reduction being more pronounced for Dsns + sC. Dsns + sC reported a decrease in carbohydrate energy % [−9.4 (−11.3, −7.6) %;p nd amount [−47.4 (−67.1, −27.7) g;p ncreased dietary fiber [9.5 (7.2, 11.8) g;p nd protein energy % [0.9 (0.5, 1.3) %;p sus sC alone. Dsns + sC reported signi

关键词： Diabetes specific nutrition supplement standard of Care Diabetes Glycemic Markers HbA1C

Classification Model for IDs Using Auto Cryptographic Denoising Technique

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Computer systems science & Engineering 2023年第4期45卷 671-685页

作者： n.karthikeyan P.sivaprakash s.karthik Department of Computer science&Engineering PPG Institute of TechnologyCoimbatoreTamilnaduIndia Department of Computer science&Engineering SNS College of TechnologyCoimbatoreTamilnaduIndia

Intrusion detection systems(IDs)are one of the most promising ways for securing data and networks;In recent decades,IDs has used a variety of categorization *** classifiers,on the other hand,do not work effectively unless they are combined with additional algorithms that can alter the classifier’s parameters or select the optimal sub-set of features for the *** are used in tandem with classifiers to increase the stability and with efficiency of the classifiers in detecting *** algorithms,on the other hand,have a number of limitations,particularly when used to detect new types of *** this paper,the nsL kDD dataset and kDD Cup 99 is used to find the performance of the proposed classifier model and compared;These two IDs dataset is preprocessed,then Auto Cryptographic Denoising(ACD)adopted to remove noise in the feature of the IDs dataset;the classifier algorithms,k-Means and neural network classifies the dataset with adam *** classifier is evaluated by measuring performance measures like f-measure,recall,precision,detection rate and *** neural network obtained the highest classifying accuracy as 91.12%with drop-out function that shows the efficiency of the classifier model with drop-out function for kDD Cup99 *** their power and limitations in the proposed methodology that could be used in future works in the IDs area.

关键词： Auto cryptographic denoising(ACD) classifier intrusion detection system(IDs) optimizer performance measures

Polymer-sandwich Ultra-Thin silicon(100) Platform for Flexible Electronics

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Chinese Physics Letters 2016年第6期33卷 86-89页

作者：张永华 s.karthikeyan 张健 Department of Electronic science and Engineering East China Normal University Department of Electrical and Computer Engineering University of Minnesota

As a potential flexible substrate for flexible electronics, a polymer-sandwiched ultra-thin silicon platform is stud- ied. sU-8 photoresist coated on the silicon membrane improves its flexibility as shown by an AnsYs simulation. Using the plasma enhanced chemical vapor deposited si02/si3n4 composite film as an etching mask, a 4＂ silicon- （100） wafer is thinned to 26[tm without rupture in a 30wt.% kOH solution. The thinned wafer is coated on both sides with 20 pm of sU-8 photoresist and is cut into strips. Then the strips are bent by a caliper to measure its bending radius. A sector model of bending deformation is adopted to estimate the radius of curvature. The determined minimal bending radius of the polymer-sandwiched ultra-thin silicon layer is no more than 3.3mm. The fabrication process of this sandwich structure can be used as a post-fabrication process for high performance flexible electronics.

关键词： of for Platform for Flexible Electronics PECVD is in

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)

silibinin 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 Laboratory 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 silibinin(sBn)against n-nitrosodimethylamine(DMn)-induced toxic insults in the rat *** liver damage was induced in Wistar albino rats by 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 before and after sBn *** of the liver was evaluated by 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 sBn treatment significantly reversed the DMn-induced damages,towards *** studies confirmed the development of liver toxicity in DMn-treated rats,which was reversed by sBn treatment in corroboration with the aforementioned biochemical results,indicating the hepatoprotective and antioxidant properties of *** conclusion,the DMn-induced degenerative changes in the liver were alleviated by sBn treatment and this protective ability may be attributed to its antioxidant,free radical scavenging,and membrane stabilizing properties.

关键词： Dimethylnitrosamine silibinin Oxidative stress Hepatotoxicity Glutathione dysregulation

studies on electroless ni-P-Cr_2O_3 and ni-P-siO_2 composite coatings

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电镀与涂饰 2007年第1期26卷 1-6页

作者： karthikeyan s sRInIVAsAn k n VAsUDEVAn T JOHn s national Engineering College K.R.NagarKovilpatti-628503TamilnaduIndia Central Electrochemical Research Institute Karaikudi-630006India Alagappa University Karaikudi-630003India

本文对化学镀镍及化学镀镍磷基质中siO2与Cr2O3的共沉积进行了研究。微粒在不断生长的膜层中共沉积引起了新的化学复合镀层的出现,这些复合镀层许多都具有优异的耐磨及耐蚀性能。通过选取镀层合金/复合微粒/金属基体的组分可改进镀层,... 详细信息

本文对化学镀镍及化学镀镍磷基质中siO2与Cr2O3的共沉积进行了研究。微粒在不断生长的膜层中共沉积引起了新的化学复合镀层的出现,这些复合镀层许多都具有优异的耐磨及耐蚀性能。通过选取镀层合金/复合微粒/金属基体的组分可改进镀层,获得所需的性能,以满足特别的需求。在对这些复合镀层的应用需求正在迫近与增长的同时,其市场正在迅速扩张。本文开发出了一种合适的复合化学镀镍液,并通过维氏硬度法对化学复合镀镍层进行了表征。采用动电位极化及交流阻抗法测定了镀层的Taber耐磨性能及耐蚀性能。采用sEM及XRD对复合镀层的表面形貌进行了分析。

关键词：化学镀镍化学复合镀层siO2 Cr2O3 共沉积维氏硬度法动电位极化交流阻抗

Comparative Analysis of Quantum based Receivers with Linear and nonlinear Adaptive Receivers

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China Communications 2007年第4期4卷 33-39页

作者： s.sasikumar s.karthikeyan M.suganthi M.Madheswaran P.s.n.A.College of Engineering and Technology Dindigul-624622.India Thiagarajar College of Engineering MaduraiIndia Muthayammal Engineering College RasipuramIndia

In this paper,we propose a new linear multiuser receiver for synchronous code-division multiple-access (CDMA) systems,referred to as the orthogonal multiuser(OMU) *** the linear minimum mean-squared error(MMsE) receiver,the OMU receiver depends only on the signature vectors and does not require knowledge of the received amplitudes or the channel signal-to-noise ratio(snR).Here we develop methods that construct an optimal set of vectors with a specified inner product structure,from a given set of vectors in a complex Hilbert *** optimal vectors are chosen to minimize the sum of the squared norms of the errors between the constructed vectors and the given *** algorithm has been developed using the principles of quantum parameters and some of its axioms and *** place of the classical matched filter(MF) receiver we propose a modified *** approach assumes that improving the accuracy will necessarily result in im- proved *** simulation results provided here suggests that in certain cases the OMU and POMU receivers can significantly increase the probability of correct detection with low error rate over the MF receiver.

关键词： Quantum mechanics inner product structure least square Orthogonal Orthonormal matched filter