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Bio Caryota Fiber Reinforced polymer Composites: Mechanical properties and Vibration Behavior Analysis

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Journal of Bionic Engineering 2019年第3期16卷 480-491页

作者： Kayaroganam palanikumar vijayakumar Subbiah Department of Mechanical Engineering Sri Sai Ram Institute of Technology Chennai Tamil Nadu India Department of Mechanical Engineerings Sathyabama Institute of Science and Technology Chennai Tamil Nadu India

polymer composites reinforced with the biofibers are found to have improved applications in many fields and also they can reduce the environmental effect. In this work, caryota-a new natural fiber for polymer composites is fabricated and their tensile, flexural and impact properties are estimated to be used in economical and lightweight load carrying structures. Laminates at different weight fraction (wt%) of 10 wt%, 20 wt%, 25 wt%, 30 wt%, 35 wt%, 40 wt% and 45 wt% are manufactured using a compression molding technique. Results asserted that the unidirectional arrangement having 40 wt% fiber posses good properties. Also the dynamic characteristics such as natural frequency and damping study are carried out for different wt% of unidirectional caryota fiber reinforced composite laminates by ex? perimental modal analysis. From this study, it has been asserted that by using the caryota fiber reinforced polyester composites, the traditional synthetic fiber can be replaced especially in automobile sector. If the caryota fiber reinforced composite material is applied properly, then its application fields will be improved.

关键词： natural fiber caryota fiber reinforcements polymer-matrix composites (pMCs) mechanical properties vibration analysis

Electrical and non-linear optical studies on electrospun ZnO/BaO composite nanofibers

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Frontiers of Materials Science 2012年第1期6卷 69-78页

作者： G.NIXON SAMUEL vijayakumar M.RATHNAKUMARI p.SURESHKUMAR Department of physics R.M.K.Engineering CollegeR.S.M.NagarKavaraipettai 601206India Materiais Research Centre Department of PhysicsVelammal Engineering CollegeChennai 600066India

Nanocapacitors and nonvolatile ferroelectric random access memories require nanoscale thin film coatings with ferroelectric properties. One dimensional ferroelectric nanofibers are used in ferroelectric memory devices owing to the fact that decrease of the dimensionality of the memory device elements will reduce the addressing and appreciably increase the storage capacity, Novel ZnO/BaO nanocomposite fibers exhibiting ferroelectric properties have been prepared in the form of non-woven mesh by electrospinning the sol derived from the sol-gel route, Thin cylindrical nanofibers of average diameter 100 nm have been obtained and their morphology is confirmed by SEM and AFM images. In the electrospinning process, the effect of the working distance on the fiber morphology was studied and it showed that working distance between 11 and 15 cm can produce fibers without beads and the decrease in working distance in this range increases the fiber diameter. powder XRD was used to identify the phases and EDX analysis confirmed the presence of ZnO/BaO. Dielectric and non-linear optical properties have also been studied. The dielectric studies showed that ZnO/BaO composite nanofibers undergo a phase transition from ferroelectric to paraelectric at 323 K.

关键词： nanocomposite fiber sol-gel process dielectric property non-linear opticalproperty ferroelectric property

MDCN:Modified Dense Convolution Network Based Disease Classification in Mango Leaves

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Computers, Materials & Continua 2024年第2期78卷 2511-2533页

作者： Chirag Chandrashekar K.p.vijayakumar K.pradeep A.Balasundaram School of Computer Science and Engineering Vellore Institute of Technology(VIT)ChennaiIndia Center for Cyber physical Systems School of Computer Science and EngineeringVellore Institute of Technology(VIT)ChennaiIndia

The most widely farmed fruit in the world is *** the production and quality of the mangoes are hampered by many *** diseases need to be effectively controlled and ***,a quick and accurate diagnosis of the disorders is *** convolutional neural networks,renowned for their independence in feature extraction,have established their value in numerous detection and classification ***,it requires large training datasets and several parameters that need careful *** proposed Modified Dense Convolutional Network(MDCN)provides a successful classification scheme for plant diseases affecting mango *** model employs the strength of pre-trained networks and modifies them for the particular context of mango leaf diseases by incorporating transfer learning *** data loader also builds mini-batches for training the models to reduce training ***,optimization approaches help increase the overall model’s efficiency and lower computing *** employed on the MangoLeafBD Dataset consists of a total of 4,000 *** the experimental results,the proposed system is compared with existing techniques and it is clear that the proposed algorithm surpasses the existing algorithms by achieving high performance and overall throughput.

关键词： Leaf disease detection deep convolutional neural networks transfer learning optimization MangoLeafBD Dataset

pV based water pumping system for agricultural irrigation

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Frontiers in Energy 2016年第3期10卷 319-328页

作者： T A BINSHAD K vijayakumar M KALEESWARI Department of Electrical Engineering Malaviya National Institute of Technology Jaipur 302017 India Department of Electrical Engineering Poomima University Jaipur302017 India

This paper investigates the operation and analysis of the photovoltaic water pumping system in detail. power electronic controllers were designed and developed for the water pumping system using a boost converter along with an inverter followed by an induction motor pump set. The proposed system could be employed in agricultural irrigation under any operating condition of varying natures of solar irradiances and temperatures. The configuration and implementation of the system were described in detail. Further, the detailed method of analysis and simulation characteristics of such pV water pumping system was also presented. With the concern of shortage of fossil fuel, global warming and energy security, the proposed pV based water pumping significant demand of electricity agricultural sector. system can meet the and serve for the

关键词： photovoltaic water pumping system power electronic controller solar irradiances and temperature

Detection of Diabetic Retinopathy from Retinal Images Using DenseNet Models

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Computer Systems Science & Engineering 2023年第4期45卷 279-292页

作者： R.Nandakumar p.Saranya vijayakumar ponnusamy Subhashree Hazra Antara Gupta Department of ECE K S R Institute for Engineering and TechnologyTiruchengode637215India Department of Computer Science and Engineering SRM Institute of Science and TechnologyChennai603203India Department of Electronics and Communication and Engineering SRM Institute of Science and TechnologyChennai603203India

A prevalent diabetic complication is Diabetic Retinopathy(DR),which can damage the retina’s veins,leading to a severe loss of *** treated in the early stage,it can help to prevent vision *** since its diagnosis takes time and there is a shortage of ophthalmologists,patients suffer vision loss even before ***,early detection of DR is the necessity of the *** primary purpose of the work is to apply the data fusion/feature fusion technique,which combines more than one relevant feature to predict diabetic retinopathy at an early stage with greater *** procedures for diabetic retinopathy analysis are fundamental in taking care of these *** profound learning for parallel characterization has accomplished high approval exactness’s,multi-stage order results are less noteworthy,especially during beginning phase *** Connected Convolutional Networks are suggested to detect of Diabetic Retinopathy on retinal *** presented model is trained on a Diabetic Retinopathy Dataset having 3,662 images given by *** results suggest that the training accuracy of 93.51%0.98 precision,0.98 recall and 0.98 F1-score has been achieved through the best one out of the three models in the proposed *** same model is tested on 550 images of the Kaggle 2015 dataset where the proposed model was able to detect No DR images with 96%accuracy,Mild DR images with 90%accuracy,Moderate DR images with 89%accuracy,Severe DR images with 87%accuracy and proliferative DR images with 93%accuracy.

关键词： Convolutional Neural Networks vision loss pathogenic blood vessels DenseNet AlexNet ResNet

Nickel oxide nanoparticles catalyzed synthesis of poly-substituted quinolines via Friedlander hetero-annulation reaction

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Chinese Chemical Letters 2014年第12期25卷 1595-1600页

作者： B.palakshi Reddy p.Iniyavan S.Sarveswari V.vijayakumar Centre for Organic and Medicinal Chemistry VIT University

Reusable acidic nickel oxide nanoparticles have been synthesized,characterized and applied as a catalyst to convert 2-aminoaryl ketones and β-ketoesters/ketones into the corresponding quinolines in good yields with h... 详细信息

关键词： o-Aminoaryl ketones NiO Nps Friedlander annulation Quinolines

Enteric Red Mouth disease and its causative bacterium, Yersinia ruckeri, in Indian Major Carps from culture ponds in Andhra pradesh, India

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Aquaculture and Fisheries 2021年第3期6卷 289-299页

作者： Shameem Ummey Sharmila Khan p.p.N vijayakumar Adanki Ramya Department of Zoology Andhra UniversityVisakhapatnam530003India Advanced Analytical Laboratory Andhra UniversityVisakhapatnam530003India

During the present investigation,studies were carried out to investigate the outbreak of Redmouth disease in culture ponds situated at Krishna,West Godavari and East Godavari districts of Andhra *** Red Mouth disease or Yersiniosis is a serious infectious bacterial disease,sometimes responsible for causing severe economic loss to fish farming *** disease is clinically characterized by symptoms like bleeding at the base of fins,inside and around mouth,bilateral exophthalmia with or without haemorrhage,and per-ocular and peri-oral *** the present study,live or moribund fish showing lesions similar to enteric redmouth disease were collected and the causative agent was isolated by culture *** identification was carried out by conventional biochemical methods and molecular polymerase chain *** extracted from isolated pathogen was subjected to pCR amplification with a pair of *** specific *** pCR product was run on 1.5%agarose gel electrophoresis and positive bands with a molecular size of approximately 500bp were *** is similar to that given for pCR products with primers specific for ***.

关键词： Yersinia ruckeri pCR Enteric Red Mouth Disease Indian Major Carps Andhra pradesh

Fresnel incoherent correlation holography with single camera shot

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Opto-Electronic Advances 2020年第8期3卷 12-22页

作者： Anand vijayakumar Tomas Katkus Stefan Lundgaard Denver p.Linklater Elena p.Ivanova Soon Hock Ng Saulius Juodkazis Optical Sciences Centre and ARC Training Centre in Surface Engineering for Advanced Materials(SEAM) School of ScienceSwinburne University of TechnologyHawthorn 3122Australia Department of physics Royal Melbourne Institute of TechnologyGPO Box 2476Melbourne 3001Australia Melbourne Centre for Nanofabrication Australian National Fabrication Facility151 Wellington RoadClaytonVIC 3168Australia Tokyo Tech World Research Hub Initiative(WRHI) School of Materials and Chemical TechnologyTokyo Institute of Technology2-12-1OokayamaMeguro-kuTokyo 152-8550Japan

Fresnel incoherent correlation holography(FINCH)is a self-interference based super-resolution three-dimensional imaging *** in inline configuration requires an active phase modulator to record at least three phase-shifted camera shots to reconstruct objects without twin image and bias *** this study,FINCH is realized using a randomly multiplexed bifocal binary diffractive Fresnel zone lenses fabricated using electron beam *** object space is calibrated by axially scanning a point object along the optical axis and recording the corresponding point spread holograms(pSHs).An object is mounted within the calibrated object space,and the object hologram was recorded under identical experimental conditions used for recording the *** image of the object at different depths was reconstructed by a cross-correlation between the object hologram and the *** potential including bio-medical optics is discussed.

关键词： imaging holography correlation three-dimensional imaging diffractive optics

Thermal Degradation Kinetics of Structurally Diverse poly(bispropargyl ethers-bismaleimide) Blends

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Chinese Journal of polymer Science 2016年第3期34卷 253-253,254-267页

作者： Jeyaraj pandiyan Dhanalakshmi Mahendran Arunjunai Raj Chinnaswamy Thangavel vijayakumar Department of Chemistry Kamaraj College of Engineering and Technology S.P.G.C.Nagar Wood Carinthian Competence Centre Kompetenzzentrum Holz GmbH Department of polymer Technology Kamaraj College of Engineering and Technology S.P.G.C.Nagar

Structurally diverse bispropargyl ethers using resorcinol,quinol,4,4￠-dihydroxy biphenyl,bisphenol-A,4,4￠-dihydroxy diphenyl ketone,4,4￠-dihydroxy diphenylsulphone,trimethyl indane bisphenol and tetramethyl spirobiindane bisphenol were prepared by using phase transfer *** materials were separately blended with 4,4￠-bismaleimido diphenyl methane（BMIM）in mole ratios（0.5：0.5）.The materials were thermally cured and the structural characterisation and the thermal properties of these cross-linked materials are investigated using Fourier-transform infrared（FTIR）spectrophotometer and thermogravimetric analyzer（TGA）.Among the different materials investigated poly MRpE,poly MBpEBpA and poly MSpE show higher onset degradation temperature of 300°C indicating higher thermal *** degradation kinetics is investigated using Flynn-Wall-Ozawa（FWO）,Vyazovkin（VYZ）and Friedman（FRD）*** the various cured materials investigated,the activation energy（Ea-D）values obtained for poly MRpE and poly MKpE were observed to increase continuously froma=0.2 to 0.8 and the values range from 199 kJ/mol to 245 k J/mol and 153 k J/mol to 295 k J/mol *** crosslinked materials resulting from these bispropargyl monomers definitely need more energy for bond cleavage due to the presence of more aromatic *** volatile products obtained during the thermal degradation of the polymers were analyzed using thermogravimetric-Fourier transform infrared analyses（TG-FTIR）.The phenols,substituted phenols,carbon monoxide,carbon dioxide and small amount of aniline were found to be the major products during thermal degradation of these cured blends.

关键词： Bispropargyl ethers Bismaleimide TG Degradation kinetics TG-FTIR