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Deep Learning-Based Classification of Rotten Fruits and Identification of Shelf Life

Computers, Materials & Continua 2024年第1期78卷 781-794页

作者： S.Sofana Reka Ankita Bagelikar Prakash venugopal V.Ravi Harimurugan Devarajan Centre for Smart Grid Technologies School of Electronics EngineeringVellore Institute of TechnologyChennai600127India School of Electronics Engineering Vellore Institute of TechnologyChennai600127India Department of Electrical Engineering Dr.B R Ambedkar National Institute of TechnologyJalandharPunjab144008India

The freshness of fruits is considered to be one of the essential characteristics for consumers in determining their quality,flavor and nutritional *** primary need for identifying rotten fruits is to ensure that only fresh and high-quality fruits are sold to *** impact of rotten fruits can foster harmful bacteria,molds and other microorganisms that can cause food poisoning and other illnesses to the *** overall purpose of the study is to classify rotten fruits,which can affect the taste,texture,and appearance of other fresh fruits,thereby reducing their shelf *** agriculture and food industries are increasingly adopting computer vision technology to detect rotten fruits and forecast their shelf ***,this research work mainly focuses on the Convolutional Neural Network’s(CNN)deep learning model,which helps in the classification of rotten *** proposed methodology involves real-time analysis of a dataset of various types of fruits,including apples,bananas,oranges,papayas and ***,machine learningmodels such as GaussianNaïve Bayes(GNB)and random forest are used to predict the fruit’s shelf *** results obtained from the various pre-trained models for rotten fruit detection are analysed based on an accuracy score to determine the best *** comparison to other pre-trained models,the visual geometry group16(VGG16)obtained a higher accuracy score of 95%.Likewise,the random forest model delivers a better accuracy score of 88% when compared with GNB in forecasting the fruit’s shelf *** developing an accurate classification model,only fresh and safe fruits reach consumers,reducing the risks associated with contaminated ***,the proposed approach will have a significant impact on the food industry for efficient fruit distribution and also benefit customers to purchase fresh fruits.

关键词： Rotten fruit detection shelf life deep learning convolutional neural network machine learning gaussian naïve bayes random forest visual geometry group16

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Mechanism of microbial spore inactivation through electromagnetic radiations:a review

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Journal of Future Foods 2024年第4期4卷 324-334页

作者： Piyush Sharma Arun Prasath venugopal Parag Prakash Sutar Hong-wei Xiao Qi Zhang Deparment of Food Process Engineering.National Institute of Techmology Rourkela Odisha 769008India College of Engineering China Agriculural UniversityBeijing 100083China School of Mechanical Engineering Yangzhou UTniversiny Yangzhou 225002China

Spores are the biological structures formed out of sporulation from vegetative cells in adverse *** tolerant to many extreme environment and conditions,they escape and survives critical processing steps in the food industry that poses food and health safety problems,as is evident from the increase in reports of food-bome outbreaks due to *** radiation(EM)is used for rapid decontamination and sterilization purposes in the food *** studies have reported a greater reduction in spore population upon irradiation with EM rays due to its impact on genomic material and other components of spores that destabilises overall structue and brings clonogenic death However,there is scattered literature regarding the mechanism of its inactivation and resistance against such *** review attempts to concisely evaluate the potential of electromagnetic radiations in spore inactivation and details its mechanism through a collective study of scientific results and *** also briefs about the process of sporulation,the structure of spores and the role of its components in the resistance of spores to *** studies,which demonstrated that combining various EM treatments might be an effective way for inactivation of spores,were discussed in detail.

关键词： Spore structure Electromagnetic radiations Mechanism of inactivation Damage resistance

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Management of Hypertension:JNC 8 and Beyond

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Cardiovascular Innovations and Applications 2016年第B9期1卷 409-416页

作者： Ezra A.Amsterdam sandhya venugopal Jonathan Bui Balasingam Thevakumar Angela Thinda Sabrina Virk William J.Bommer Aman Khullar Gagan Singh Division of Cardiovascular Medicine Department of Internal MedicineUniversity of CaliforniaDavisSchool of MedicineSacramentoCA 95817USA

Hypertension is a leading risk factor for cardiovascular disease,the leading cause of death and morbidity in our society and on a global *** components of cardiovascular disease include stroke,coronary artery disease,heart failure,and chronic kidney disease,in all of which hypertension plays a major *** risk of these complications increases directly and linearly with systolic blood pressure starting at 115 *** usually asymptomatic,hypertension is readily detectable on physical examination and is amenable to both lifestyle modifi cation and pharmacologic treatment in most ***,large proportions of the hypertensive population remain undetected and *** guidelines have been issued during the past few decades to promote detection and optimal *** the increase in risk with systolic blood pressure greater than 115 mmHg,the generally accepted threshold for diagnosis and treatment has been systolic blood pressure greater than 139 mmHg and diastolic blood pressure greater than 80 mmHg because until recently treatment to lower levels has been associated with an unfavorable relation between clinical benefi t and *** the past several years,new guidelines,advisories,commentaries,and clinical trials have provided evidence for a potential change in current recommendations for the management of *** this regard,the long-awaited eighth report of the Joint National Committee on the Prevention,Detection,Evaluation,and Treatment of High Blood Pressure recommended patients older than 60 years be treated to a systolic blood pressure of less than 150 mmHg,which has generated considerable controversy and *** striking fi ndings of the Systolic Blood Pressure Intervention Trial(SPRINT)have received considerable attention because of the demonstration that intensive therapy to a target systolic blood pressure below 120 mmHg decreases cardiovascular mortality and morbidity more than less intensive treatment to

关键词： hypertension JNC 7 JNC 8 cardiovascular risk factors SPRINT

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Reversed-Phase-HPLC Assay Method for Simultaneous Estimation of Sorbitol, Sodium Lactate, and Sodium Chlorides in Pharmaceutical Formulations and Drug Solution for Infusion

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American Journal of Analytical Chemistry 2024年第2期15卷 57-71页

作者： Sreenivas Pippalla venugopal Komreddy Srinivasulu Kasa Vaishnavi Chintala Poluri Venkata Reddy Department of Chemistry Sikkim Professional University Gangtok India Analytical Research & Development Hikma Pharmaceuticals USA Inc. Bedford USA Department of Chemistry Osmania University Hyderabad India Analytical Research & Development Cambrex High Point High Point USA Department of Analytical Chemistry Annamalai University Annamalai Nagar India

A rapid, straightforward, sensitive, efficient, and cost-effective reverse-phase high-performance liquid chromatographic method was employed for the simultaneous determination of Sorbitol, Sodium Lactate, and Chlorides in a drug solution for infusion. Sorbitol, Sodium lactate, and Chloride are all officially recognized in the USP monograph. Assay methods are provided through various techniques, with titrations being ineffective for trace-level quantification. Alternatively, IC, AAS, and ICP-MS, though highly accurate, are costly and often unavailable to most testing facilities. When considering methods, it’s important to prioritize both quality control requirements and user-friendly techniques. A simple HPLC simultaneous method was developed for the quantification of Chlorides, Sorbitol, and Sodium Lactate with a shorter run time. The separation utilized a Shimpack SCR-102(H) ion exclusion analytical column (7.9 mm × 300 mm, 7 μm), with a flow rate of 0.6 mL per min. The column compartment temperature was maintained at 40°C, and the injection volume was set at 10 μL, with detection at 200 nm. All measurements were conducted in a 0.1% solution of phosphoric acid. The analytical curves demonstrated linearity (r > 0.9999) in the concentration range of 0.79 to 3.8 mg per mL for Sodium Lactate (SL), 0.16 to 0.79 mg per mL for Sodium Chloride (SC), and 1.5 to 7.2 mg per mL for Sorbitol. Validation of the developed method followed the guidelines of the International Conference on Harmonization (ICH Q2B) and USP. The method exhibited precision, robustness, accuracy, and selectivity. In accelerated stability testing over 6 months, no significant variations were observed in organoleptic analysis and pH. Consequently, the developed method is deemed suitable for routine quality control analyses, enabling the simultaneous determination of Sodium Lactate, Sodium Chloride, and Sorbitol in pharmaceutical formulations and infusions.

关键词： Sorbitol Sodium Lactate and Chloride Assay Analytical Validation HPLC

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Blockchain: Secured Solution for Signature Transfer in Distributed Intrusion Detection System

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Computer Systems Science & Engineering 2022年第1期40卷 37-51页

作者： Shraddha R.Khonde venugopal Ulagamuthalvi Department of Computer Science and Engineering Sathyabama Institute of Science and TechnologyChennai600119India Department of Computer Engineering M.E.S.College of EngineeringS.P.Pune UniversityPune411001India

Exchange of data in networks necessitates provision of security and *** networks compromised by intruders are those where the exchange of data is at high *** main objective of this paper is to present a solution for secure exchange of attack signatures between the nodes of a distributed *** activities are monitored and detected by the Intrusion Detection System(IDS)that operates with nodes connected to a distributed *** IDS operates in two phases,where the first phase consists of detection of anomaly attacks using an ensemble of classifiers such as Random forest,Convolutional neural network,and XGBoost along with genetic algorithm to improve the performance of *** novel attacks detected in this phase are converted into signatures and exchanged further through the network using the blockchain framework in the second *** phase uses the cryptosystem as part of the blockchain to store data and secure it at a higher *** blockchain is implemented using the Hyperledger Fabric v1.0 and v2.0,to create a prototype for secure signature *** exchanges signatures in a much more secured manner using the blockchain architecture when implemented with version 2.0 of Hyperl-edger *** performance of the proposed blockchain system is evaluated on UNSW NB15 *** performance has been evaluated in terms of execution time,average latency,throughput and transaction processing *** evidence of the proposed IDS system demonstrates improved performance with accuracy,detection rate and false alarm rate(FAR)as key parameters *** and detection rate increase by 2%and 3%respectively whereas FAR reduces by 1.7%.

关键词： Blockchain intrusion detection system machine learning algorithms secured communication ensemble approach

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Critical roles of non-coding RNAs in lifecycle and biology of Marek's disease herpesvirus

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Science China(Life Sciences) 2023年第2期66卷 251-268页

作者： Man Teng Zhi-Jian Zhu Yongxiu Yao venugopal Nair Gai-Ping Zhang Jun Luo Key Laboratory of Animal Immunology Ministry of Agriculture and Rural Affairs of China&Henan Provincial Key Laboratory of Animal ImmunologyHenan Academy of Agricultural SciencesZhengzhou 450002China UK-China Centre of Excellence for Research on Avian Diseases Henan Academy of Agricultural SciencesZhengzhou 450002China School of Biological and Food Processing Engineering Huanghuai UniversityZhumadian 463000China The Pirbright Institute&UK-China Centre of Excellence for Research on Avian Diseases PirbrightAsh RoadGuildfordSurrey GU240NFUnited Kingdom International Joint Research Center of National Animal Immunology&College of Veterinary Medicine Henan Agricultural UniversityZhengzhou 450002China Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses Yangzhou UniversityYangzhou 225009China Key Laboratory of Animal Disease and Public Safety College of Animal Science and TechnologyHenan University of Science and TechnologyLuoyang 471003China

Over the past two decades, numerous non-coding RNAs(ncRNAs) have been identified in different biological systems including virology, especially in large DNA viruses such as herpesviruses. As a representative oncogenic alphaherpesvirus, Marek’s disease virus(MDV) causes an important immunosuppressive and rapid-onset neoplastic disease of poultry, namely Marek’s disease(MD). Vaccinations can efficiently prevent the onset of MD lymphomas and other clinical disease, often heralded as the first successful example of vaccination-based control of cancer. MDV infection is also an excellent model for research into virally-induced tumorigenesis. Recently, great progress has been made in understanding the functions of ncRNAs in MD ***, we give a review of the discovery and identification of MDV-encoded viral miRNAs, focusing on the genomics,expression profiles, and emerging critical roles of MDV-1 miRNAs as oncogenic miRNAs(oncomiRs) or tumor suppressor genes involved in the induction of MD lymphomas. We also described the involvements of host cellular miRNAs, lincRNAs, and circRNAs participating in MDV life cycle, pathogenesis, and/or tumorigenesis. The prospects, strategies, and new techniques such as the CRISPR/Cas9-based gene editing applicable for further investigation into the ncRNA-mediated regulatory mechanisms in MDV pathogenesis/oncogenesis were also discussed, together with the possibilities of future studies on antiviral therapy and the development of new efficient MD vaccines.

关键词： herpesvirus MDV miRNA lincRNA circRNA CRISPR pathogenesis oncogenesis

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Numerical analysis of the performance of a three-bladed vertical-axis turbine with active pitch control using a coupled unsteady Reynolds-averaged Navier-Stokes and actuator line model

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水动力学研究与进展B辑:英文版 2023年第3期35卷 516-532页

作者： Rui-wen Zhao Angus C.W.Creech Ye Li Vengatesan venugopal Alistair G.L.Borthwick Laboratory of Multi-function Towing Tank State Key Laboratory of Ocean EngineeringSchool of Naval ArchitectureOcean and Civil EngineeringShanghai Jiao Tong UniversityShanghai 200240China School of Engineering and Physical Sciences Heriot-Watt UniversityEdinburghUK School of Engineering The University of EdinburghEdinburghUK School of Engineering Computing and MathematicsUniversity of PlymouthPlymouthUK

In this paper,we present a numerical model of a vertical-axis turbine(VAT)with active-pitch torque *** model is based upon the Wind and Tidal Turbine Embedded Simulator(WATTES)and WATTES-V turbine realisations in conjunction with the actuator line method(ALM),and uses OpenFOAM to solve the unsteady Reynolds-averaged Navier-Stokes(URANS)equations with two-equation k-εturbulence *** novel pitch-controlled system is based on an even pressure drop across the entire rotor to mitigate against dynamic stall at low tip speed *** numerical model is validated against experimental measurements and alternative numerical predictions of the hydrodynamic performance of a 1:6 scale UNH-RM2 hydrokinetic *** deploying the variable pitch mechanism exhibit improved turbine performance compared to measured data and fixed zero-pitch model ***-wake characteristics are investigated by examining the vorticity distribution near the *** pitch-controlled system is demonstrated to theoretically decrease turbulence generated by turbine rotations,mitigate the intensity of vortex shedding and size of detached vortices,and significantly enhance the performance of a vertical-axis hydrokinetic turbine for rated tip-speed ratios.

关键词： Vertical-axis turbine pitch control hydrodynamic performance unsteady Reynolds-averaged Navier-Stokes(URANS) numerical simulation

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Pattern Recognition of Modulation Signal Classification Using Deep Neural Networks

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Computer Systems Science & Engineering 2022年第11期43卷 545-558页

作者： D.venugopal V.Mohan S.Ramesh S.Janupriya Sangsoon Lim Seifedine Kadry Department of Electronics and Communication Engineering KPR Institute of Engineering and TechnologyCoimbatore641048India Department of Electronics and Communication Engineering Saranathan College of EngineeringTrichy620012India Department of Computer Science and Engineering Krishnasamy College of Engineering&TechnologyCuddalore607109India Department of Electronics and Communication Engineering K.Ramakrishnan College of EngineeringTiruchirappalli621112India Department of Computer Engineering Sungkyul UniversityAnyangKorea Department of Applied Data Science Noroff University CollegeKristiansandNorway

In recent times,pattern recognition of communication modulation signals has gained significant attention in several application areas such as military,civilian field,*** becomes essential to design a safe and robust feature extraction(FE)approach to efficiently identify the various signal modulation types in a complex *** works have derived new techniques to extract the feature parameters namely instant features,fractal features,and so *** addition,machine learning(ML)and deep learning(DL)approaches can be commonly employed for modulation signal *** this view,this paper designs pattern recognition of communication signal modulation using fractal features with deep neural networks(CSM-FFDNN).The goal of the CSM-FFDNN model is to classify the different types of digitally modulated *** proposed CSM-FFDNN model involves two major processes namely FE and *** proposed model uses Sevcik Fractal Dimension(SFD)technique to extract the fractal features from the digital modulated ***,the extracted features are fed into the DNN model for modulation signal *** improve the classification performance of the DNN model,a barnacles mating optimizer(BMO)is used for the hyperparameter tuning of the DNN model in such a way that the DNN performance can be raised.A wide range of simulations takes place to highlight the enhanced performance of the CSM-FFDNN *** experimental outcomes pointed out the superior recognition rate of the CSM-FFDNN model over the recent state of art methods interms of different evaluation parameters.

关键词： Pattern recognition signal modulation communication signals deep learning feature extraction

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Airborne Acoustic Transmission and Terrain Topography at SAINTGITS Amphitheatre:An Analysis of Outdoor Auditory Perception and Comparison of Contour Plots

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Sound & Vibration 2022年第3期56卷 255-274页

作者： Jacob Thottathil Varghese Sajan Thomas Joselin Herbert Chacko Preno Koshy Arjun venugopal Department of Mechanical Engineering SAINTGITS College of EngineeringKottayam686532India APJ Abdul Kalam Technological University ThiruvanathapuramKerala695016India Part-Time Research Scholar Department of Mechanical EngineeringNICHENagercoil629180India Department of Mechanical Engineering NICHENagercoilTamil Nadu629180India

The arrangement of natural and physical features on the earth’s surface are a few among the countless items that govern the airborne acoustic transmission at boundary *** particular,if the acoustic waves are attributes of live concerts at open-air theatres,without losing the sheen and quality,the audience should certainly receive the unbroken depth of the ***,at all times,it is advisable to analyse the auditory receptiveness,particularly in all intended recreational *** current pandemic circumstances and the mandated COVID-19 prevention protocols encourage gatherings in naturally ventilated outdoor regions than confined *** work predicts and quantifies the acoustic experience at the naturally carved amphitheatre at SAINTGITS,an autonomous institution at the down South-West of the Indian *** entire recreational space at SAINTGITS AMPHI was separately modelled as a Base case and Advanced case,and were analysed using the acoustic modelling module of EASE Focus,a renowned simulation freeware,which is in strict adherence with the International *** variation in loudness received at the nearest and farthest ends of the amphitheatre was between 67 to 80 *** the Zero frequency SPL(Z-weighting)exhibited the loudness in the range of 81 to 85 dB and could maintain a safer auditory level for any human ear,it was confined to a hemispherical region near the sound source.A vertical beam angle of−4.0°was found to be effective *** procedures and analyses will certainly help the future organizers and stakeholders to effectively plan the resources to reap rich acoustic experience at terrain-centric *** surface topography and contours were plotted with another set of freeware,the CADMAPPER and the QUIKGRID,to compare terrain gradient with the known ***,this interdisciplinary research exhibits the extensive simulation capability of both EASE Focus and QUIKGRID and demonstrates the modelling v

关键词： Acoustic airborne transmission Sound Pressure Level(SPL) Amphitheatre SAINTGITS contour plot terrain topology safe acoustics

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Performance analysis of jig for coal cleaning using 3D response surface methodology

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International Journal of Mining Science and Technology 2017年第2期27卷 333-337页

作者： Kumar Shravan venugopal R. Department of Fuel and Mineral Engineering Indian Institute of Technology(ISM)Dhanbad826004India

Beneficiation of coal of -4.76 mm + 3 mm size fraction was investigated in a laboratory model Denver *** variables were studied to analyze their effect on the performance of jig in terms of yield and ash content of clean coal. Three-factor three-level Box-Behnken design of experiments with response surface methodology(RSM) was employed to understand the performance behavior of jig. From the study, the bed height was found to be the most significant parameter affecting the yield and ash content of clean coal. It was possible to reduce the ash content from 24.32% in feed to an ash content of 16.55% in clean coal at 2 L/min water flow rate and 10 min jigging time. Influence of operating variables of the jig on responses was presented and discussed in 3D surface plots. The developed model was found to be significant within the range of parameters under investigation with correlation of co-efficient values as 0.99(yield) and 0.98(ash).

关键词：性能分析响应面法三维表面 Box-Behnken设计夹具选煤实验室模型灰分含量

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