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Feature Extraction and Classification of Plant Leaf Diseases Using Deep Learning Techniques

Computers, Materials & Continua 2022年第10期73卷 233-247页

作者： K.Anitha S.srinivasan Department of Electronics and Communication Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)Saveetha UniversityThandalamChennai602105India Instituteof Bio-Medical Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)Saveetha UniversityThandalamChennai602105India

In India’s economy, agriculture has been the most significantcontributor. Despite the fact that agriculture’s contribution is decreasing asthe world’s population grows, it continues to be the most important sourceof employment with a little margin of difference. As a result, there is apressing need to pick up the pace in order to achieve competitive, productive,diverse, and long-term agriculture. Plant disease misinterpretations can resultin the incorrect application of pesticides, causing crop harm. As a result,early detection of infections is critical as well as cost-effective for *** diagnose the disease at an earlier stage, appropriate segmentation of thediseased component from the leaf in an accurate manner is critical. However,due to the existence of noise in the digitally captured image, as well asvariations in backdrop, shape, and brightness in sick photographs, effectiverecognition has become a difficult task. Leaf smut, Bacterial blight andBrown spot diseases are segmented and classified using diseased Apple (20),Cercospora (60), Rice (100), Grape (140), and wheat (180) leaf photos in thesuggested work. In addition, a superior segmentation technique for the ROIfrom sick leaves with living backdrop is presented here. Textural features of thesegmented ROI, such as 1st and 2nd order WPCA Features, are discoveredafter segmentation. This comprises 1st order textural features like kurtosis,skewness, mean and variance as well as 2nd procedure textural features likesmoothness, energy, correlation, homogeneity, contrast, and entropy. Finally,the segmented region of interest’s textural features is fed into four differentclassifiers, with the Enhanced Deep Convolutional Neural Network provingto be the most precise, with a 96.1% accuracy.

关键词： Convolutional neural network wavelet based pca features leaf disease detection agriculture disease remedies bat algorithm

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STUDY ON PHOTODYNAMIC AND PHOTORESPONSIVE AZO POLYELECTROLYTES

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Chinese Journal of Polymer Science 2000年第4期18卷 337-342页

作者： srinivasan Balasubraminian Jayant Kumar Sukant K.Tripathy Center for Advanced Materials University of Massachusetts Lowell. MA01854. USACenter for Advanced Materials University of Massachusetts Lowell. MA01854. USACenter for Advanced Materials University of Massachusetts Lowell. MA01854. USA

Several kinds of novel azobenzene-containing polyelectrolytes with special molecular design have been developed from acryloyl chloride or epoxy based precursor polymers. The acryloyl chloride based precursor polymer, poly(acryloyl chloride), was prepared by free radical polymerization of acryloyl chloride. The azo polyelectrolytes were prepared by an esterification reaction between the precursor polymer and corresponding azo chromophores containing a reactive hydroxyl group, followed by hydrolysis of the unreacted acyl chloride groups. The epoxy based precursor polymer was prepared by the reaction between 1,4-cyclohexanedimethanol diglycidyl ether and aniline, and postfunctionalized by azo coupling reaction to form azo polymers containing chromophores with ionizable groups. The polyelectrolytes were characterized by elemental analysis, H-1-NMR, IR and UV-Vis spectroscopy. The photodynamic and photoresponsive properties, as well as self-assembly of these azo polyelectrolytes are reported in this paper([1]).

关键词： azo polyelectrolyte photodynamic photoresponsive self-assembly

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Processing and characterization of polymer precursor derived silicon oxycarbide ceramic foams and compacts

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Journal of Advanced Ceramics 2013年第4期2卷 318-324页

作者： srinivasan NEDUNCHEZHIAN Ravindran SUJITH Ravi KUMAR Materials Processing Section Department of Metallurgical and Materials EngineeringIndian Institute of Technology MadrasChennai 600036Tamil NaduIndia

This work focused on the fabrication of silicon oxycarbide ceramic(SiOC)foams as well as dense compacts using poly(hydridomethylsiloxane)(PHMS)as a polymer *** room-temperature cross-linking of PHMS was achieved by the addition of 1,4-diazabicyclo[2.2.2]octane(DABCO)with the release of hydrogen gas as a *** resulted in self-blowing of the polymer precursor at room temperature and thereby offered the possibility of producing SiOC foams without the need of any external blowing *** also reported the fabrication of crack-free silicon oxycarbide compacts by cold compaction and pyrolysis route using polyvinyl alcohol(PVA)as a processing ***-shaped pellets were pyrolysed at 1300℃in argon atmosphere with a ceramic yield of approximately 85%.Increased resistance to phase separation and crystallization up to 1400℃was attributed to the presence of large volume fraction of free carbon in the material which was confirmed by Raman spectroscopy.

关键词： silicon oxycarbide foams 1,4-diazabicyclo[2.2.2]octane(DABCO) self-blown polymer poly(hydridomethylsiloxane)(PHMS)

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Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom

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npj Computational Materials 2024年第1期10卷 2819-2828页

作者： Prashanth srinivasan David Demuriya Blazej Grabowski Alexander Shapeev Institute for Materials Science University of StuttgartPfaffenwaldring 5570569 StuttgartGermany Skolkovo Institute of Science and Technology Bolshoy Boulevard 30bld.1Moscow121205Russia

We present the electronic moment tensor potentials(eMTPs),a class of machine-learning interatomic models and a generalization of the classical MTPs,reproducing both the electronic and vibrational degrees of freedom,up to the accuracy of ab initio *** the original polynomial interpolation idea of the MTPs,the eMTPs are defined as polynomials of vibrational and electronic degrees of freedom,corrected to have a finite interatomic ***,an eMTP is constructed from the classical MTPs fitted to a training set,whose energies and forces are calculated with electronic temperatures corresponding to the Chebyshev nodes on a given temperature *** eMTP energy is hence a Chebyshev interpolation of the classical *** the eMTP,one can obtain the temperature-dependent vibrational free energy including anharmonicity coming from phonon interactions,the electronic free energy coming from electron interactions,and the coupling of atomic vibrations and electronic *** of the contributions can be accessed individually using the proposed *** performance of eMTPs is demonstrated for two refractory systems which have a significant electronic,vibrational and coupling contribution up to the melting point—unary Nb,and a disordered TaVCrW high-entropy *** accurate thermodynamic and kinetic quantities can now be obtained just by using eMTPs,without any further ab initio *** proposed construction to include the electronic degree of freedom can also be applied to other machine-learning models.

关键词： vibrational electronic interpolation

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Poly caprolactone/titanium dioxide nanofiber coating on AM50 alloy for biomedical application

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Journal of Magnesium and Alloys 2021年第2期9卷 532-547页

作者： Mani Karthega Mogan Pranesh Chockalingam Poongothai Nagarajan srinivasan Department of Sciences Amrita School of EngineeringCoimbatoreAmrita VishwaVidyapeethamIndia Department of Chemistry Manonmaniam Sundaranar UniversityTirunelveliIndia

Poly caprolactone(PCL)and Poly caprolactone/TiO_(2)(PCL/TiO_(2))composite nanofiber with different weight percentage compositions(2 wt%,4 wt%and 6 wt%)of TiO_(2)were prepared and coated over AM50 alloy using electrospinning *** surface morphology and elemental composition result confirms that the PCL/TiO_(2)composite nanofiber fiber were successfully electrospun on the surface of AM50 *** degradation behavior of PCL and PCL/6 wt%TiO_(2)coated AM50 alloy was studied by immersing in Simulated Body Fluid(SBF)*** electrochemical and cell proliferation studies reveals that the cellular behavior of PCL and PCL/6 wt%TiO_(2)composite nanofiber exhibited good support for cell proliferation with enhanced corrosion resistance of AM50 alloy in SBF solution.

关键词： Electrospinning AM50 alloy Polycaprolactone Biocompatible Corrosion resistance Electrochemical studies

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Formulation of corrosion rate of magnesium alloys using microstructural parameters

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Journal of Magnesium and Alloys 2020年第1期8卷 134-149页

作者： Ahmad Bahmani srinivasan Arthanari Kwang Seon Shin Magnesium Technology Innovation Center School of Materials Science and EngineeringSeoul National University1 Gwanak-roGwanak-guSeoul 08826Korea

Up to the date of writing this article,a quantitative analysis between corrosion rate and combined microstructural parameters including composition,grain size,and precipitations has not been ***,a literature review was carried out on these parameters to understand the quantitative effect of each one on the corrosion rate of Mg and Mg ***,using the available data in the literature and several experimental results,a new model was developed to predict the corrosion rate,through microstructural *** model suggests that by using ultra-fined grains,alloying compounds with low Volta-potential difference relative to the matrix and a low fraction of secondary phase,a very low corrosion rates of materials are achievable.

关键词： Corrosion rate Magnesium Grain size Volta-potential

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PLANTAGO PSYLLIUM-GRAFTED-POLYACRYLONITRILE:SYNTHESIS,CHARACTERIZATION AND ITS USE FOR SOLID REMOVAL FROM SEWAGE WASTEWATER

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Chinese Journal of Polymer Science 2005年第1期23卷 113-118页

作者： Anuradha Mishra Alpa Yadav Monika Agarwal Rajani srinivasan Department of Chemistry Institute of Engineering and Technology.CSJM UniversityKanpur-208 024IndiaDepartment of ChemistryInstitute of Engineering and Technology.CSJM UniversityKanpur-208 024IndiaDepartment of ChemistryInstitute of Engineering and Technology.CSJM UniversityKanpur-208 024India

Plantago psyllium mucilage(PSY),an anionic natural polysaccharide consisting of pentosan and uronic acidobtained from the seeds of Plantago psyllium(Plantago family),was grafted with acrylonitrile(AN).Graft copolymers wereprepared by ceric ion initiated solution polymerization technique and were characterized by FT-IR spectroscopy,scanningelectron microscopy and differential scanning *** copolymers are good flocculating agents for removal ofsuspended(SS)and total dissolved solid(TDS)in sewage wastewater *** effects of copolymer dose,pH andcontact time on flocculation capacity of one selected copolymer sample were studied by jar test *** suitable pHrange for maximum solid removal was 7.0 to 9.2 and the optimum copolymer dose was 1.2 mg/*** overall process forsolid removal took 4 h.X-ray diffraction(XRD)patterns of grafted copolymer,PSY grafted polyacrylonitrile(PSY-g-PAN)and solid waste,before and after treatment are used to suggest the interaction of the solid waste with PSY-g-PAN copolymer.

关键词： Plantago psyllium-g-polyacrylonitrile(PSY-g-PAN) Flocculant X-ray Jar test Sewage wastewater.

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An Efficient Video Inpainting Approach Using Deep Belief Network

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Computer Systems Science & Engineering 2022年第11期43卷 515-529页

作者： M.Nuthal srinivasan M.Chinnadurai Department of Electronics and Communication Engineering E.G.S.Pillay Engineering CollegeNagapattinam611002TamilnaduIndia Department of Computer Science and Engineering E.G.S.Pillay Engineering CollegeNagapattinam611002TamilnaduIndia

The video inpainting process helps in several video editing and restoration processes like unwanted object removal,scratch or damage rebuilding,and *** intends to fill spatio-temporal holes with reasonable content in the *** of the recent advancements of deep learning for image inpainting,it is challenging to outspread the techniques into the videos owing to the extra time *** this view,this paper presents an efficient video inpainting approach using beetle antenna search with deep belief network(VIA-BASDBN).The proposed VIA-BASDBN technique initially converts the videos into a set of frames and they are again split into a region of 5*5 *** addition,the VIABASDBN technique involves the design of optimal DBN model,which receives input features from Local Binary Patterns(LBP)to categorize the blocks into smooth or structured ***,the weight vectors of the DBN model are optimally chosen by the use of BAS ***,the inpainting of the smooth and structured regions takes place using the mean and patch matching approaches *** patch matching process depends upon the minimal Euclidean distance among the extracted SIFT features of the actual and references *** order to examine the effective outcome of the VIA-BASDBN technique,a series of simulations take place and the results denoted the promising performance.

关键词： Video inpainting deep learning video restoration beetle antenna search deep belief network patch matching feature extraction

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Broadband ferromagnetic resonance studies on influence of interface bonding on magnetoeletric effects in ferrit e-ferroelectric composites

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Frontiers of physics 2012年第4期7卷 418-423页

作者： D.V.B.Murthy Gopalan srinivasan Physics Department Oakland UniversityRochesterMI 48309USA

A systematic study has been carried out on the effects of interface bonding on the strain mediated magnetoelectric （ME） coupling in ferromagnetic-ferroelectric bilayers. The technique used involves the static electric field E tuning of the ferromagnetic resonance （FMR） in yttrium iron garnet （YIG） and lead zirconate titanate （PZT） or lead magnesium niobate-lead titanate （PMN-PT）. A broad band detection technique has been developed for studies over 1 40 GHz in three types of bilayers： epoxy bonded, eutectic bonded and YIG films directly grown onto piezoelectric substrate by electrophoretic deposition. The strength A of the converse ME effect （CME） defined as the ratio of the frequency shift 8f in FMR in E, A = 8f/E, varies over the range 0.8 to 4.3 ***/kV, and is the highest for eutectic bonded samples and is the weakest for epoxy bonded bilayers. The results presented here as of importance for dual electric and magnetic field tunable ferrite ferroelectric microwave resonators and filters.

关键词： Keywords ferrite ferroelectric magnetoelectric ferromagnetic resonance

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Synthesis and anticholinesterase activity of a novel series of acetazolamide condensed 1,4-dihydropyridines

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Carbon Resources Conversion 2019年第3期2卷 191-197页

作者： Mudduluru Niranjan Babu Karthikeyan Elumalai Sivaneswari srinivasan Kalpana Eluri Manogaran Elumalai srinivasan Sivannan Department of Phytochemistry Seven Hills College of PharmacyTirupati 517561India Department of Medicinal Chemistry Seven Hills College of PharmacyTirupati 517561India Department of Pharmaceutics K.K.College of PharmacyChennai 600122India Faculty of Pharmaceutical Sciences UCSI UniversityCherasKuala Lumpur 56000Malaysia Department of Pharmacy Practice Togari Veeramallappa Memorial College of PharmacyBallariIndia

A novel Acetazolamide condensed 1,4-dihydropyridines was set up by treating of N-(5-acetamido-1,3,4-thiadiazol-2-ylsulfonyl)-3-oxobutanamide with an aryl aldehyde and 25-30%alkali with sight amount of barium nitrate as a *** of the synthetic structure of the titled compounds(4-16)was substantiated by thin-layer chromatography(TLC),IR,^(1)H NMR,^(13)C NMR,Mass spectra(MS)and elemental analysis(C,H,and N)were *** titled compounds were assessed for anticholinesterase activity against acetylcholinesterase and butyl cholinesterase *** titled compound produced weak,moderate,or high anticholinesterase ***,compound 8 demonstrated the best anticholinesterase activity of all the 1,4-dihydropyridines,with an IC_(50) estimation of 0.08μM and 2.9μM.

关键词： Acetazolamide Anticholinesterase 1,4-Dihydropyridines Acetylcholinesterase Butyl cholinesterase

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