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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)

A Simple Primary Key Algorithm Based Shade Dispersion Method for Maximizing PV Power Generation under Partial Shading Conditions

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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

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 nificantly 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 ne. DSnS + SC reported signi

关键词： Diabetes Specific nutrition Supplement Standard of Care Diabetes Glycemic Markers HbA1C

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

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

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

Secret Image Communication Scheme Based on Visual Cryptography and Tetrolet Tiling Patterns

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Computers, Materials & Continua 2020年第11期65卷 1283-1301页

作者： n.RajeshKumar DYuvaraj G.Manikandan R.BalaKrishnan B.karthikeyan D.narasimhanand n.R.Raajan Srinivasa Ramanujan Centre SASTRA Deemed UniversityKumbakonamTamil NaduIndia Department of Computer Science Cihan University-DuhokDuhokIraq School of Computing SASTRA Deemed UniversityThanjavurTamil NaduIndia School of EEE SASTRA Deemed UniversityThanjavurTamil NaduIndia

Visual cryptographic scheme is specially designed for secret image sharing in the form of shadow *** basic idea of visual cryptography is to construct two or more secret shares from the original image in the form of chaotic *** this paper,a novel secret image communication scheme based on visual cryptography and Tetrolet tiling patterns is *** proposed image communication scheme will break the secret image into more shadow images based on the Tetrolet tiling *** secret image is divided into 4×4 blocks of tetrominoes and employs the concept of visual cryptography to hide the secret *** main feature of the proposed scheme is the selection of random blocks to apply the tetrolet tilling patterns from the fundamental tetrolet pattern *** procedure is used to perform both tetrolet transform and the scheme of visual ***,the experimental results showcase the proposed scheme is an extraordinary approach to transfer the secret image and reconstruct the secret image with high visual quality in the receiver end.

关键词： Tetrominoes tile visual secret share image transmission security visual cryptography

Effect of metal content on the activity and product selectivity of n-decane hydroisomerization over ni-Pd/HY zeolite

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Chinese Journal of Catalysis 2016年第11期37卷 1907-1917页

作者： Dhanapalan.karthikeyan Raji Atchudan Raji Sivakumar ArignarAnna艺术与科学学院化学系安那大学化学系(库因地校区) 岭南大学化学工程学院

Metal-loaded zeolite catalysts were synthesized and examined in the hydroisomerization of ***,zeolite Y was impregnated with 0.1 wt%Pd and varying amounts of ni（0.1-0.5 wt%].The crystallinity of the metal-loaded catalysts was characterized by X-ray diffraction,and the average metal particle size was determined by transmission electron *** states of Pd and ni were identified by X-ray photoelectron *** temperature-programmed desorption analysis revealed the occurrence of ion-exchange of some of the catalyst acid sites with ni-（2＋）.The reducibility of the HY zeolite-supported Pd,ni,and Pd-ni catalysts was studied by temperature-programmed *** hydroisomerization of n-decane over the prepared catalyst was conducted at 200-450℃ under 1 *** addition of up to 0.3 wt%over 0.1 wt%Pd/HY enhanced the n-decane conversion and isomerization product *** improved selectivity of the mono- and dibranched isomers suggested the occurrence of a protonated cyclopropane intermediate ***,further ni addition above 0.3 wt%considerably reduced the activity and isomerization *** bimetallic catalysts were more selective toward the formation of dibranched isomers,i.e.,those containing a higher octane number.

关键词： Hydroisomerization n-Decane Zeolite Y Palladium Impregnation method