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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

Deceleration-stage Rayleigh–Taylor growth in a background magnetic field studied in cylindrical and Cartesian geometries

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matter and Radiation at Extremes 2022年第2期7卷 41-52页

作者： C.Samulski B.srinivasan m.J.-E.manuel R.masti J.p.Sauppe J.Kline Virginia polytechnic Institute and State University BlacksburgVirginia 24060USA General Atomics P.O.Box 85608San DiegoCalifornia 92186USA Los Alamos National Laboratory P.O.Box 1663Los AlamosNew Mexico 87545USA

Experiments have identified the Rayleigh–Taylor(RT)instability as one of the greatest obstacles to achieving inertial confinement ***,mitigation strategies to reduce RT growth and fuel–ablator mixing in the hotspot during the deceleration phase of the implosion are of great *** this work,the effect of seed magnetic fields on deceleration-phase RT growth are studied in planar and cylindrical geometries under conditions relevant to the National Ignition Facility(NIF)and Omega *** magnetohydrodynamic(mHD)and resistive-mHD capabilities of the FLASH code are used to model imploding cylinders and planar blast-wave-driven *** target and laser parameters are presented that suggest the occurrence of morphological differences in late-time RT evolution in the cylindrical NIF case and a measurable difference in spike height of single-mode growth in the planar NIF *** results of this study indicate the need for target designs to utilize an RT-unstable foam–foam interface in order to achieve sufficient magnetic field amplification to alter RT *** FLASH simulations are used to study these magnetic field effects in both resistive and ideal mHD.

关键词： FLASH cylindrical magnetic

Cyanobacterial metabolites as novel drug candidates in corona viral therapies:A review

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Chronic Diseases and Translational medicine 2022年第3期8卷 172-183页

作者： srinivasan prabhu Subramaniyan Vijayakumar pabakaran praseetha Department of Botany Annai Vailankanni Arts and Science CollegeThanjavurTamil NaduIndia Deparment of Botany A.V.V.M Sri Pushpam CollegePoondi(Affiliated to Bharathidasan University)ThanjavurTamil NaduIndi Department of Nnotechnology Noorul Islam Cenire for Higher EducationKumaracolTamil NaduIndia

most of the medical and nonmedical research labs,all around the world,are racing against time to produce an effective vaccine or an antiviral medicine for coronavirus disease 2019(COVID-19).Conventional medicines and novel nano-materials including chemical and herbal-based compounds are all into positive trials toward coronaviruses and other pandemic *** them,natural immune boosters have attracted physicians because of their longevity and reliability for fewer side *** is a review article with a detailed picture of an unexplored antiviral source with maximum potency in curing viral *** have been known for centuries and are rich in secondary metabolites of proteins,biopeptides,and polysaccharides for prominent antiviral action against chest *** detailed exploratory research is required to purify,scale-up,and commercialize the pharmacologically active agents from these drug reserves.

关键词： antiviral drugs coronavirus covid-19 cyanobacteria

A NEW pOLYmERIC FLAmE RETARDANT ADDITIVE FOR NYLON

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Chinese Journal of polymer Science 1993年第1期11卷 16-21页

作者： m.srinivasan R.VASANTHAKUmARJ p.T.UTHIAH DR. BHARATRAm RESEARCH AND DEVELOpmENT CENTRE SRF LIMITED MANALI MADRAS 600 068 INDIADR. BHARATRAM RESEARCH AND DEVELOPMENT CENTRE SRF LIMITED MANALI MADRAS 600 068 INDIADR. BHARATRAM RESEARCH AND DEVELOPMENT CENTRE SRF LIMITED MANALI MADRAS 600 068 INDIA

The present paper deals with the use of a new polymeric flame retardant material, polyphenylene sulphide (ppS) for plastics. Incorporation of 15—20% ppS into nylon-6 has provided UL V-0 rating for the system and there is enhancement in tensile and flexural properties. The results obtained on the thermal, crystallization and flow characteristics of the nylon-ppS system upto a loading of 40% ppS are also discussed.

关键词： polyphenylene sulphide Nylon-6 Flame retardent Blend Thermal stability UL V-0.

prediction of Link Failure in mANET-IoT Using Fuzzy Linear Regression

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Intelligent Automation & Soft Computing 2023年第5期36卷 1627-1637页

作者： R.mahalakshmi V.prasanna srinivasan S.Aghalya D.muthukumaran Department of Electrical and Electronics Engineering Dhanalakshmi Srinivasan College of Engineering and TechnologyMamallapuramTamil NaduIndia Department of Information Technology R.M.D.Engineering CollegeKavaraipettaiChennaiTamil NaduIndia Department of Electronics and Communication Engineering St.Joseph’s College of EngineeringChennaiTamil NaduIndia Department of Electronics and Communication Engineering Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya UniversityKancheepuramTamil NaduIndia

A mobile Ad-hoc NETwork(mANET)contains numerous mobile nodes,and it forms a structure-less network associated with wireless ***,the node movement is the key feature of mANETs;hence,the quick action of the nodes guides a link *** link failure creates more data packet drops that can cause a long time *** a result,measuring accurate link failure time is the key factor in the *** paper presents a Fuzzy Linear Regression method to measure Link Failure(FLRLF)and provide an optimal route in the mANET-Internet of Things(IoT).This work aims to predict link failure and improve routing efﬁciency in *** Fuzzy Linear Regression method(FLRm)measures the long lifespan link based on the link *** mobile node group is built by the Received Signal Strength(RSS).The Hill Climbing(HC)method selects the Group Leader(GL)based on node mobility,node degree and node ***,it uses a Data Gathering node forward the infor-mation from GL to the sink node through multiple *** GL is identiﬁed by linking lifespan and energy using the particle Swarm Optimization(pSO)*** simulation results demonstrate that the FLRLF approach increases the GL lifespan and minimizes the link failure time in the mANET.

关键词： mobile ad-hoc network fuzzy linear regression method link failure detection particle swarm optimization hill climbing

Leveraging multimodal Ensemble Fusion-Based Deep Learning for COVID-19 on Chest Radiographs

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Computer Systems Science & Engineering 2023年第10期47卷 873-889页

作者： mohamed Yacin Sikkandar K.Hemalatha m.Subashree S.srinivasan Seifedine Kadry Jungeun Kim Keejun Han Department of medical Equipment Technology College of Applied Medical SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia Department of Biomedical Engineering Bannari Amman Institute of TechnologySathyamangalam638401India Department of Computer Science and Engineering K.Ramakrishnan College of EngineeringTiruchirappalli621112India Institute of Biomedical Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesSaveetha UniversityChennai602105India Department of Applied Data Science Noroff University CollegeKristiansandNorway Artificial Intelligence Research Center(AIRC) College of Engineering and Information TechnologyAjman UniversityAjmanUnited Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon Department of Software Kongju National UniversityCheonan31080Korea Division of Computer Engineering Hansung UniversitySeoul02876Korea

Recently,COVID-19 has posed a challenging threat to researchers,scientists,healthcare professionals,and administrations over the globe,from its diagnosis to its *** researchers are making persistent efforts to derive probable solutions formanaging the pandemic in their *** of the widespread and effective ways to detect COVID-19 is to utilize radiological images comprising X-rays and computed tomography(CT)*** the same time,the recent advances in machine learning(mL)and deep learning(DL)models show promising results in medical ***,the convolutional neural network(CNN)model can be applied to identifying abnormalities on chest *** the epidemic of COVID-19,much research is led on processing the data compared with DL techniques,particularly *** study develops an improved fruit fly optimization with a deep learning-enabled fusion(IFFO-DLEF)model for COVID-19 detection and *** major intention of the IFFO-DLEF model is to investigate the presence or absence of *** do so,the presented IFFODLEF model applies image pre-processing at the initial *** addition,the ensemble of three DL models such as DenseNet169,EfficientNet,and ResNet50,are used for feature ***,the IFFO algorithm with a multilayer perceptron(mLp)classification model is utilized to identify and classify *** parameter optimization of the mLp approach utilizing the IFFO technique helps in accomplishing enhanced classification *** experimental result analysis of the IFFO-DLEF model carried out on the CXR image database portrayed the better performance of the presented IFFO-DLEF model over recent approaches.

关键词： COVID-19 computer vision deep learning image classification fusion model

OKRA (HIBISCUS ESCULENTUS) AND FENUGREEK (TRIGONELLA FOENUm GRACEUm) mUCILAGE:CHARACTERIZATION AND AppLICATION AS FLOCCULANTS FOR TEXTILE EFFLUENT TREATmENTS

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Chinese Journal of polymer Science 2008年第6期26卷 679-687页

作者： Rajani srinivasan Anuradha mishra Blackland Research and Extension Centre Texas A&M University System720East Blackland RoadTempleTX76502USA Department of Chemistry University Institute of Engineering and TechnologyCSJM UniversityKanpur-208 024India

The use of new food grade polysaccharides (mucilage) obtained from Hibiscus esculentus and Trigonella foenum graceum,commonly called Okra and Fenugreek,respectively,as flocculants was *** polysaccharides were used for removal of solids (suspended solids (SS) and total dissolved solids (TDS)) and dyes from real textile effluents and aqueous solutions of different class of synthetic *** of varying polysaccharide concentration,contact time and pH on removal of pollutant from the textile...

关键词： Fenugreek Okra Natural polysaccharides Flocculation Wastewater treatment Textile effluent Bridging Hibiscus esculentus Trigonella foenum graceum.

CURE CHARACTERISTICS OF HYDROXYL TERmINATED pOLYBUTADIENE pREpOLYmER WITH BLOCKED TOLUENE DIISOCYANATE-Ⅰ

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Chinese Journal of polymer Science 1993年第3期11卷 284-291页

作者： prathima Kamath m.srinivasan V.N.Krishnamurthy Department of Chemistry Indian Institute of Technology Madras 600 036 INDIADepartment of Chemistry Indian Institute of Technology Madras 600 036 INDIAVikram Sarabhai Space Centre Trivandrum 695 022INDIA

Controlled release of TDI and hence the cure characteristics of several blocked TDI with HTpB are reported. The reactions were followed through viscosity measurements as a function of time and temperature under the catalytic influence of triethylamine. The effect of nature of substituents present on the end capping substrate, temperature, solvent, basicity of catalyst and kinetics thereon have been studied.

关键词： Blocked TDI HTpB Cure characteristics Toluene diisocyanate

CURE CHARACTERISTICS OF HYDROXYL TERmINATED pOLYBUTADIENE pREpOLYmER WITH BLOCKED TOLUENE DIISOCYANATE-Ⅱ

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Chinese Journal of polymer Science 1994年第1期12卷 91-97页

作者： prathima Kamath m.srinivasan V.N.Krishnamurthy Department of Chemistry Indian Institute of Technology Madras-600036 INDIADepartment of Chemistry Indian Institute of Technology Madras-600036 INDIAVikram Sarabhai Space Centre Trivandrum-695022 INDIA

Cure characteristics of hydroxyl terminated polybutadiene (HTpB) prepolymer with avariety of blocked toluene diisocyanate (TDI) in the presence of triethylamine (TEA) andchloroacetic acid catalyst are reported. phenol, thiophenol, p-chloropheno1, p-nitrophenol,p-cresol, resorcinol, naphthols, caprolactam and butylated-hydroxytoluene were used as blockingagents. Viscosity measurements have been carried out using a mixture of HTpB and blocked TDIin cyclohexanone in the presence of the catalysts at 50℃ and 60℃ using Haake rotational vis-cometer. Viscosity measurements have also been carried out with 50% solids such as ammonium sulphate along with HTpB and TDI adduct.

关键词： Hydroxyl terminated polybutadiene Blocked toluene diisocyanate Cure characteristics