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Deep Learning-Based Mask Identification System Using ResNet Transfer Learning Architecture

Computer Systems Science & Engineering 2024年第2期48卷 341-362页

作者： Arpit Jain Nageswara Rao Moparthi A.Swathi yogesh kumar Sharma Nitin Mittal Ahmed Alhussen Zamil S.Alzamil MohdAnul Haq Department of Computer Science and Engineering KoneruLakshmaiah Education FoundationVaddeswaram522302India Department of Computer Science and Engineering Sreyas Institute of Engineering and TechnologyHyderabad500068India University Centre for Research and Development Chandigarh UniversityMohali140413India Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia

Recently,the coronavirus disease 2019 has shown excellent attention in the global community regarding health and the *** Health Organization(WHO)and many others advised controlling Corona Virus Disease in *** limited treatment resources,medical resources,and unawareness of immunity is an essential horizon to *** all resources,wearing a mask is the primary non-pharmaceutical intervention to stop the spreading of the virus caused by Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2)*** countries made masks mandatory to prevent *** such enforcement,automatic and effective face detection systems are *** study presents a face mask identification approach for static photos and real-time movies that distinguishes between images with and without *** contribute to society,we worked on mask detection of an individual to adhere to the rule and provide awareness to the public or *** paper aims to get detection accuracy using transfer learning from Residual Neural Network 50(ResNet-50)architecture and works on detection *** experiment is tested with other popular pre-trained models such as Deep Convolutional Neural Networks(AlexNet),Residual Neural Networks(ResNet),and Visual Geometry Group Networks(VGG-Net)advanced *** proposed system generates an accuracy of 98.4%when modeled using Residual Neural Network 50(ResNet-50).Also,the precision and recall values are proved as better when compared to the existing *** outstanding work also can be used in video surveillance applications.

关键词： Transfer learning depth analysis convolutional neural networks(CNN) COVID-19

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Investigation of magnetoelectric effect in lead free K0.5Na0.5NbO3–BaFe12O19 novel composite system

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Journal of Advanced Ceramics 2019年第3期8卷 333-344页

作者： yogesh kumar KLYADAV Jyoti SHAH RKKOTNALA Smart Materials Research Laboratory Department of PhysicsIndian Institute of Technology RoorkeeRoorkee247667India National Physical Laboratory New DelhiDelhi110012India

Lead-free magnetoelectric composites(1-x)K0.5Na0.5NbO3–(x)BaFe12O19(x = 30, 40, and 50 wt%) are synthesized using solid state reaction method. X-ray diffraction(XRD) patterns confirm formation of diphase composites. Field emission scanning electron microscopy(FE-SEM) gives information about grain size, connectivity, and microstructure of constituent phases. Dielectric parameters of composite samples are studied as a function of temperature and the transition temperatures corresponding to both the constituent phases are observed in the composite samples. Dielectric constant has been found to decrease with addition of ferrite. Room temperature multiferroic behaviour has been confirmed using P–E and M–H hysteresis loops and magnetoelectric measurement. Polarization is found to decrease;however, magnetization increases with ferrite weight percentage. The highest αME of 4.08 mV/(cm·Oe) is obtained for x = 30 wt% composite and it is realized that ferrite content significantly affects magnetoelectric behaviour.

关键词： composite materials X-ray diffraction(XRD) microstructure dielectric multiferroic

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Auto-Scaling Framework for Enhancing the Quality of Service in the Mobile Cloud Environments

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Computers, Materials & Continua 2023年第6期75卷 5785-5800页

作者： yogesh kumar Jitender kumar Poonam Sheoran CSE Department DCR University of Science and TechnologyMurthalSonepat131039India BME Department DCR University of Science and TechnologyMurthalSonepat131039India

On-demand availability and resource elasticity features of Cloud computing have attracted the focus of various research *** cloud computing is one of these domains where complex computation tasks are offloaded to the cloud resources to augment mobile devices’cognitive ***,the flexible provisioning of cloud resources is hindered by uncertain offloading workloads and significant setup time of cloud virtual machines(VMs).Furthermore,any delays at the cloud end would further aggravate the miseries of real-time *** resolve these issues,this paper proposes an auto-scaling framework(ACF)that strives to maintain the quality of service(QoS)for the end users as per the service level agreement(SLA)negotiated assurance level for service *** addition,it also provides an innovative solution for dealing with the VM startup overheads without truncating the running *** the waiting cost and service cost tradeoff-based systems or threshold-rule-based systems,it does not require strict tuning in the waiting costs or in the threshold rules for enhancing the *** explored the design space of the ACF system with the CloudSim *** extensive sets of experiments demonstrate the effectiveness of the ACF system in terms of good reduction in energy dissipation at the mobile devices and improvement in the *** the same time,the proposed ACF system also reduces the monetary costs of the service providers.

关键词： Auto-scaling computation offloading mobile cloud computing quality of service service level agreement

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CFD analysis of performance improvement of the Savonius water turbine by using an impinging jet duct design

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Chinese Journal of Chemical Engineering 2019年第4期27卷 794-801页

作者： Narendra Thakur Agnimitra Biswas yogesh kumar Mithinga Basumatary Mechanical Engg.Deptt. NIT Silchar

The majority of research on water turbines focuses on design improvement of large-scale hydrokinetic turbines for power generation, which may have delayed the utilization of kinetic energy contained in rivers and canals. The aim of this paper is to improve the efficiency of a two bladed Savonius type cross-flow hydrokinetic turbine, which can be used as an energy converter to harness free-stream kinetic energy of water. An impinging jet duct design is presented for improving performance of the Savonius turbine in wind application as seen from literature. The performance of the modified turbine is evaluated using CFD software Fluent, and is compared with that of a simple two bladed Savonius water turbine and some of the prominent literature designs of the Savonius turbine. It is shown that the present design exhibits improved performance compared to the selected designs of the Savonius *** an insight of the improved performance of the modified turbine is also obtained from flow physics study.

关键词： Savonius water turbine CFD Impinging jet duct design Power coefficient Water power Flow physics

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Effects of the COVID-19 pandemic on semen quality in male partners of infertile couples: a hospitalbased observational study

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Asian Journal of Andrology 2023年第2期25卷 240-244页

作者： Tribhuwan kumar Kamlesh Jha Md Zabihullah kumari Neelu yogesh kumar kumar Siddharth Department of Physiology All India Institute of Medical SciencesPatna 801507BiharIndia Akshat Spandan Clinic Patna 801507BiharIndia

The effects of the coronavirus disease 2019(COVID-19)pandemic on male fertility have received considerable attention because human testes contain high levels of angiotensin-converting enzyme-2 receptors,through which severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)can *** studies showed decreases in semen quality during and after recovery from ***,no semen quality studies have examined the effects of widespread subclinical and mild disease,as well as changes in lifestyle,psychosocial behavior,intake of dietary supplements,and *** cross-sectional study compared semen quality parameters in male partners of infertile couples between men who underwent semen analysis before the COVID-19 pandemic(prepandemic group)and men who underwent semen analysis during the pandemic period(pandemic group);the analysis sought to clarify the overall effects of the *** participants in the pandemic group had experienced clinically overt *** the 239 participants,mean body weight(P=0.001),mean body mass index(P<0.001),median sperm concentration(P=0.014),total sperm count(P=0.006),and total percentages of motile(P=0.013)and abnormal cells(P<0.001)were significantly greater in the pandemic group(n=137)than those in the prepandemic group(n=102).Among abnormal cells,the percentages of cells with excess residual cytoplasm(P<0.001),head defects(P<0.001),and tail defects(P=0.015)were significantly greater in the pandemic group than those in the prepandemic *** the exception of morphology,the overall semenogram results were better in the pandemic group than those in the prepandemic group.

关键词： coronavirus disease 2019 pandemic male infertility SARS-CoV-2 semen analysis

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The incidence of sporadic viral hepatitis in North India:a preliminary study

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Hepatobiliary & Pancreatic Diseases International 2007年第6期6卷 596-599页

作者： Subrat kumar Radha Kanta Ratho yogesh kumar Chawla Anuradha Chakraborti Department of Virology Department of Hepatology Department of Experimental Medicine and Biotechnology

BACKGROUND: Viral hepatitis is one of the major causes of mortality and morbidity in developing countries. Hepatitis E virus (HEV) among the major etiological agents is responsible for both sporadic and epidemic outbreaks. The epidemic outbreak is water-borne whereas the sporadic outbreak is possibly through contact. Various diagnostic tools at times fail to pinpoint the cause of viral hepatitis. This study was carried out to evaluate the utility of ELISA and nRT-PCR (nested reverse transcriptase polymerase chain reaction) for the diagnosis of sporadic and acute viral hepatitis (AVH) caused by HEV in an endemic situation in North India. METHODS: Serum samples were collected from all the affected and suspected persons and subjected to serological detection of HAV IgM, HBsAg, HCV antibody and HEV IgM. The samples that were positive for HEV IgM were further processed for the detection of HEV RNA by nRT-PCR. RESULTS: A total of 843 samples were collected from 685 patients with AVH, 70 patients with fulminant hepatic failure (FHF), 53 patients with chronic liver disease (CLD), 11 patients with antituberculosis therapy (ATT)-induced jaundice, and 24 pregnant women. The percentage of positivity for anti-HEV IgM was 58.3% in the pregnant women, 41.4% in the paients with FHF, 38.6% in the patients with AVH, 9.4% in the patients with CLD and 18.2% in the patients with ATT induced jaundice. 9.4% of HBsAg carriers were positive for anti-HEV IgM. Males outnumbered females (62.8% vs. 37.1%). Furthermore, the rates of fulminant and acute outbreaks of hepatitis with HEV RNA positivity were 41.4% and 9.4%, respectively. CONCLUSION: Serological and molecular analysis should be combined for the diagnosis of viral infections, especially in endemic areas.

关键词： viral hepatitis fulminant liver failure pregnancy

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Novel Z-Scheme ZnIn_(2)S_(4)-based photocatalysts for solar-driven environmental and energy applications: Progress and perspectives

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Journal of Materials Science & Technology 2021年第28期87卷 234-257页

作者： yogesh kumar Rohit kumar Pankaj Raizada Aftab Aslam Parwaz Khan Quyet Van Le Pardeep Singh Van-Huy Nguyen School of Advanced Chemical Sciences Shoolini UniversitySolanHP173229India Department of Chemistry Government Degree CollegeSolanHP173212India Chemistry Department Faculty of ScienceKing Abdulaziz UniversityP.O.Box 80203Jeddah21589Saudi Arabia Institute of Research and Development Duy Tan UniversityDa Nang550000Vietnam Department for Management of Science and Technology Development Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Applied Sciences Ton Duc Thang UniversityHo Chi Minh CityVietnam

Benefiting from strong redox ability,improved charge transport,and enhanced charge separation,Zscheme heterostructures of ZnIn_(2)S_(4) based photocatalysts have received considerable interest to tackle energy needs and environmental *** present review highlights the properties of ZnIn_(2)S_(4),which make it a promising photocatalyst,and a suitable combination with oxidation photocatalyst to form Zscheme,leading to improve their photocatalytic properties *** the central part of this review,various types of Z-scheme heterojunction developed recently based on ZnIn_(2)S_(4) and their application in pollutant degradation,water splitting,CO_(2) reduction,and toxic metals *** analytical techniques to detect or trap the active radical and study the charge separation and lifetime of charge carriers in these Z-schemes are *** review offers its readers a broad optical window for the structural architecture of ZnIn_(2)S_(4)-based Z-schemes,photocatalytic activity,stability,and their technological ***,we discuss the challenges and opportunities for further development on Z-Scheme ZnIn_(2)S_(4)-based photocatalysts toward energy and environmental applications based on the recent progress.

关键词： ZnIn_(2)S_(4) Z-scheme photocatalyst Charge transfer mechanism Pollutant degradation Environmental remediation

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Artificial neural network (ANNs) and mathematical modelling of hydration of green chickpea

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Information Processing in Agriculture 2021年第1期8卷 75-86页

作者： yogesh kumar Lochan Singh Vijay Singh Sharanagat Ayon Tarafdar Department of Food Engineering National Institute of Food Technology Entrepreneurship and ManagementHaryanaIndia Department of Agriculture and Environmental Sciences National Institute of Food Technology Entrepreneurship and ManagementHaryanaIndia

The present study was aimed to model the hydration characteristics of green chickpea(GC)using mathematical modelling and examine predictive ability of artificial neural network(ANN)*** of GC was performed at different temperatures 25,35,45,55 and 65℃.Different mathematical models were tested for the hydration at different *** ANN modelling,the hydration time and hydration temperature were used as input variables and moisture ratio,moisture content and hydration ratio were taken as output *** model best described the hydration behavior at 25℃;while hydration at high-temperature was better described by Page model and Ibarz et *** optimum temperature obtained for hydration was 35℃.Effective mass diffusion coefficient(D_(e))increased from 1.5510^(-11)-1.7910^(-9) m^(2)/s with the increase in the hydration *** low activation energy(39.66 kJ/moL)shows the low-temperature sensitiveness of *** temperature hydration(25℃)required higher time(>200 min)to achieve the equilibrium moisture content(EMC),however high temperature hydration(35–65℃)reduced the EMC time(150 min).ANN was used to predict the hydration behavior and K fold cross validation was performed to check the over fitting of ANN *** show that the LOGSIGMOID transfer function showed better performance when used at the hidden layer input node in conjunction to both PURELIN and *** was found suitable for moisture ratio(MR)and hydration ratio(HR)prediction,as opposed to PURELIN for moisture content(MC)*** model prediction was obtained when the number of neurons in the hidden layer for MC,MR and HR was 12,8 and 15,*** and ANN modelling results are useful to improve/predict the MC,MR and HR during hydration process of GC at different temperature and other similar process.

关键词： Green chickpea Water absorption Hydration temperature ANN modeling

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Physical Characterization of Ionic Liquid-Modified Polyvinyl Alcohol and Sodium Thiocyanate Polymer Electrolytes for Electrochemical Double-Layer Capacitor Application

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Journal of Shanghai Jiaotong university(Science) 2023年第2期28卷 161-171页

作者： AZEMTSOP Manfo Theodore MEHRA Ram Mohan kumar yogesh GUPTA Meenal Material Research Laboratory Department of PhysicsSBSRSharda UniversityGreater Noida 201310India Department of Electronics and Communication Engineering Sharda UniversityGreater Noida 201310India Department of Physics Atma Ram Sanatan Dharma CollegeUniversity of DelhiNew Delhi 110021India

Novel gel polymer electrolytes(GPEs)composed of polyvinyl alcohol(PVA)and sodium thiocyanate were developed via a solution casting *** ionic liquid(IL),1-ethyl-3-methyl-imidazolium tricyanomethanide([EMIM][TCM]),was doped into a polymer–salt complex system(PVA+NaSCN)to further enhance the ***-doped polymer electrolyte(ILDPE)films were characterized using X-ray diffraction(XRD),polarized optical microscopy(POM),Fourier-transform infrared(FTIR)spectroscopy,and conductivity *** was performed to check the degree of crystallinity and amorphicity of the ILDPE films,and the amorphicity of GPEs increased with the increase of the IL *** was employed to evaluate the changes in the surface morphology due to the inclusion of salt and IL in the *** compositional nature of the GPE films was examined via FTIR *** electrical and electrochemical properties were characterized by cyclic voltammetry and electrochemical impedance *** maximum conductivity for the GPE film was estimated to be 1.10×10^(-5) S/cm for 6%(mass fraction)of IL in the polymer–salt *** ionic transference number was approximately *** electrochemical double-layer capacitor(EDLC)was built from optimized GPE films and reduced graphene oxide-based *** specific capacitance calculated from the cyclic voltammograms of the EDLC cells was 3 F/g.

关键词： ionic conductivity ionic liquid(IL) mobility transference number cyclic voltammetry polymer electrolyte

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Automatic License Plate Recognition System for Vehicles Using a CNN

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Computers, Materials & Continua 2022年第4期71卷 35-50页

作者： Parneet Kaur yogesh kumar Shakeel Ahmed Abdulaziz Alhumam Ruchi Singla Muhammad Fazal Ijaz Department of Computer Science Chandigarh Group of CollegesLandran140307India Department of Computer Science College of Computer Sciences and Information TechnologyKing Faisal UniversityAl-AhsaSaudi Arabia Department of Research InnovationsSponsored Projects&EntrepreneurshipChandigarh Group of CollegesLandran140307India Department of Intelligent Mechatronics Engineering Sejong UniversitySeoul05006Korea

Automatic License Plate Recognition(ALPR)systems are important in Intelligent Transportation Services(ITS)as they help ensure effective law enforcement and *** systems play a significant role in border surveillance,ensuring safeguards,and handling vehicle-related *** most effective approach for implementing ALPR systems utilizes deep learning via a convolutional neural network(CNN).A CNN works on an input image by assigning significance to various features of the image and differentiating them from each *** are popular for license plate character ***,little has been reported on the results of these systems with regard to unusual varieties of license plates or their success at *** present an efficient ALPR system that uses a CNN for character recognition.A combination of pre-processing and morphological operations was applied to enhance input image quality,which aids system *** system has various features,such as the ability to recognize multi-line,skewed,and multifont license *** also works efficiently in night mode and can be used for different vehicle *** overall accuracy of 98.13%was achieved using the proposed CNN technique.

关键词： Deep learning intelligent transportation services morphological convolutional neural network accuracy

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