检索结果-南通市图书馆

Genetic Variability and Phenotypic Correlations Study among Grain Quality Traits and Mineral Elements Concentrations in Colored and Non-Colored Rice (Oryza sativa L.)

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Phyton-International Journal of Experimental Botany 2024年第7期93卷 1733-1748页

作者： Adel A.rezk Mohamed M.El-Malky Heba I.Mohamed Hossam S.El-Beltagi Agricultural Biotechnology Department College of Agricultural and Food ScienceKing Faisal UniversityAl-Ahsa31982Saudi Arabia Plant Pathology Research Institute Agriculture Research CenterGiza12619Egypt Rice Research and Training Center Field Crop Research InstituteAgriculture Research Center33717Egypt Biological and Geological Sciences Department Faculty of EducationAin Shams UniversityCairo11511Egypt Biochemistry Department Faculty of AgricultureCairo UniversityGiza12613Egypt

Twenty-four rice genotypes were examined to assess genetic variability,heritability,and correlations for seven-grain quality traits,eight nutritional elements,and *** revealed signiﬁcant differences for the quality traits *** every trait under study,the phenotypic coefﬁcient of variation was higher than the correspon-dence genotypic coefﬁcient of *** in a broad sense varied from 29.75%for grain length to 98.31%for the elongation *** percentage recovery had a highly signiﬁcant positive correlation with milling and head rice ***,milling percentage had a highly positive correlation with head rice *** amylose percentage,all the genotypes belonged to low amylose except the Hassawi-1 variety,which had intermediate amylose *** nutrition contents of magnesium(Mg),sodium(Na),potas-sium(K),calcium(Ca),copper(Cu),manganese(Mn),zinc(Zn),iron(Fe),or protein percentage gave different variations for 24 rice genotypes under all the nutritional *** the 24 genotypes,ten rice genotypes–HighNutrient-1,HighNutrient-2,HighNutrient-9,HighNutrient-8,HighNutrient-3,Hassawi-2,HighNutrient-7,HighNutrient-6,Hassawi-1,and HighNutrient-4–had the highest heist value for all nutritional and protein con-tents,and could be used as a donor to improving new *** was a positive and signiﬁcant correlation between magnesium Mg,K,Zn and ***,K had a positive correlation with zinc Zn,Fe,and protein *** analysis was divided into two groups:theﬁrst group included all genotypes rich in nutri-ents,while the remaining genotypes with low nutritional content were included in the second group.

关键词： Amylose cluster analysis genotypes grain quality mineral nutrition rice

An Efficient Fuzzy Logic Fault Detection and Identification Method of Photovoltaic Inverters

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第5期67卷 2283-2299页

作者： Mokhtar Aly Hegazy rezk Department of Electrical Engineering Aswan UniversityAswan81542Egypt Electronics Engineering Department Universidad Tecnica Federico Santa MariaValparaiso2390123Chile College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityWadi Addawaser11991Saudi Arabia Electrical Engineering Department Faculty of EngineeringMinia UniversityMinia61111Egypt

Fuzzy logic control(FLC)systems have found wide utilization in several industrial *** paper proposes a fuzzy logic-based fault detection and identification method for open-circuit switch fault in grid-tied photovoltaic(PV)*** installations and ambitious plans have been recently achieved for PV systems as clean and renewable power generation sources due to their improved environmental impacts and availability *** converters represent the main parts for the grid integration of PV ***,PV power converters contain several power switches that construct their *** power switches in PV systems are highly subjected to high stresses due to the continuously varying operating ***,the grid-tied systems represent nonlinear systems and the system model parameters are changing ***,the grid-tied PV systems have a nonlinear factor and the fault detection and identification(FDI)methods based on using mathematical models become more *** proposed fuzzy logic-based FDI(FL-FDI)method is based on employing the fuzzy logic concept for detecting and identifying the location of various switch *** proposed FL-FDI method is designed and extracted from the analysis and comparison of the various measured voltage/current components for the control ***,the proposed FL-FDI method does not require additional components or measurement ***,the proposed method can detect the faulty condition and also identify the location of the faulty switch for replacement and maintenance *** proposed method can detect the faulty condition within only a single fundamental line period without the need for additional sensors and/or performing complex calculations or precise *** proposed FL-FDI method is tested on the widely used T-type PV inverter system,wherein there are twelve different switches and the FDI process represents a challenging *** results sho

关键词： Fault detection and identification fuzzy logic T-type inverter photovoltaic(PV)

A Robust Single-Sensor MPPT Strategy for Shaded Photovoltaic-Battery System

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2021年第4期37卷 63-71页

作者： A.N.M.Alahmadi Hegazy rezk Department of Electrical Engineering Umm Al-Qura UniversityMakkah21955Saudi Arabia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityWadi Ad-Dawasir11991Saudi Arabia Electrical Engineering Department Faculty of EngineeringMinia UniversityMinia61111Egypt

A robust single-sensor global maximum power point tracking(MPPT)strategy based on modern optimization for photovoltaic systems considering shading conditions is proposed in this *** proposed strategy is designed for battery charging applications and direct current(DC)*** normal operation,the curve of photovoltaic(PV)output power versus PV voltage contains only a single peak *** point can be simply captured using any traditional tracking method like perturb and ***,this situation is completely different during the shadowing effect where several peaks appear on the power voltage *** of these peaks are local with only a single *** condition leads to the incapability of traditional tracking approaches to extract the global peak power due to their inability to distinguish between the local and global peak *** are trapped in the first peak point even when the point is ***,global tracking approaches based on modern optimization are highly required.A recent marine predators algorithm(MPA)has been used to solve the problem of tracking the global MPP under shadowing *** shadowing scenarios are used to test and evaluate the performance of MPA based *** obtained results are compared with particle swarm optimization(PSO)and ant lion optimizer(ALO).The results of the comparison con-firmed the effectiveness and robustness of the proposed global MPPT-MPA based tracker over PSO and ALO.

关键词： Optimization marine predators algorithm photovoltaic system battery charging applications partial shading condition MPPT

Grey Wolf Optimization Based Tuning of Terminal Sliding Mode Controllers for a Quadrotor

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2021年第8期68卷 2265-2282页

作者： Rabii Fessi Hegazy rezk Soufiene Bouallègue Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of Tunis EL MANARTunis1002Tunisia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt High Institute of Industrial Systems of Gabès(ISSIG) University of GabèsGabès6011Tunisia

The research on Unmanned Aerial Vehicles(UAV)has intensified considerably thanks to the recent growth in the fields of advanced automatic control,artificial intelligence,and *** this paper,a Grey Wolf Optimization(GWO)algorithm is proposed and successfully applied to tune all effective parameters of Fast Terminal Sliding Mode(FTSM)controllers for a quadrotor UAV.A full control scheme is first established to deal with the coupled and underactuated dynamics of the *** for altitude,attitude,and position dynamics become separately designed and *** work around the repetitive and time-consuming trial-error-based procedures,all FTSM controllers’parameters for only altitude and attitude dynamics are systematically tuned thanks to the proposed GWO *** a hard and complex tuning task is formulated as a nonlinear optimization problem under operational *** performance and robustness of the GWO-based control strategy are compared to those based on homologous metaheuristics and standard terminal sliding mode *** simulations are carried out to show the effectiveness and superiority of the proposed GWO-tuned FTSM controllers for the altitude and attitude dynamics’stabilization and *** statistical analyses revealed that the GWO algorithm is more competitive with high performance in terms of fastness,non-premature convergence,and research exploration/exploitation capabilities.

关键词： Quadrotor cascade control fast terminal sliding mode control grey wolf optimizer nonparametric Friedman analysis

Validity,Reliability,and Measurement Invariance of the Thai Smartphone Application-Based Addiction Scale and Bergen Social Media Addiction Scale

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Mental Health Promotion 2024年第4期26卷 293-302页

作者： Kamolthip Ruckwongpatr Chirawat Paratthakonkun Usanut Sangtongdee Iqbal Pramukti ira Nurmala Kanokwan Angkasith Weena Thanachaisakul Jatuphum Ketchatturat Mark DGriffiths Yi-Kai Kao Chung-Ying Lin Institute of Allied Health Sciences College of MedicineNational Cheng Kung UniversityTainan701401Taiwan College of Sports Science and Technology Mahidol UniversityNakhon Pathom73170Thailand Department of Forensic Science Royal Police Cadet AcademyNakhon Pathom73110Thailand School of Computing Engineeringand Digital TechnologyTeesside UniversityMiddlesbroughUK Faculty of Nursing Universitas PadjadjaranWest Java45363Indonesia Division of Health Promotion and Behavioral Sciences Faculty of Public HealthUniversitas AirlanggaSurabaya60115Indonesia Faculty of Education Chiang Mai UniversityChiang Mai50200Thailand Faculty of Education Khon Kaen UniversityKhon Kaen40002Thailand International Gaming Research Unit Psychology DepartmentNottingham Trent UniversityNottinghamNG14FQUK Division of Colorectal Surgery E-DA HospitalKaohsiung82445Taiwan College of Medicine National Cheng Kung UniversityTainan701401Taiwan Biostatistics Consulting Center National Cheng Kung University HospitalTainan701401Taiwan

Background:In recent years,there has been increased research interest in both smartphone addiction and social media addiction as well as the development of psychometric instruments to assess these ***,there is a lack of psychometric evaluation for instruments assessing smartphone addiction and social media addiction in *** present study evaluated the psychometric properties and gender measurement invariance of the Thai version of the Smartphone Application-Based Addiction Scale(SABAS)and Bergen Social Media Addiction Scale(BSMAS).Method:A total of 801 Thai university students participated in an online survey from January 2022 to July 2022 which included demographic information,SABAS,BSMAS,and the Internet Gaming Disorder Scale-Short Form(IGDS9-SF).Results:Confirmatory Factor Analyses(CFAs)found that both the SABAS and BSMAS had a one-factor *** demonstrated adequate psychometric properties of both instruments and also supported measurement invariance across ***,scores on the SABAS and BSMAS were correlated with scores on the ***:The results indicated that the SABAS and BSMAS are useful psychometric instruments for assessing the risk of smartphone addiction and social media addiction among Thai young adults.

关键词： Factor analysis smartphone addiction social media addiction smartphone application-based addiction scale bergen social media addiction scale psychometric validation

A Novel Siamese Network for Few/Zero-Shot Handwritten Character Recognition Tasks

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第1期74卷 1837-1854页

作者： Nagwa Elaraby Sherif Barakat a.ira.rezk Department of Information System Faculty of Computers and InformationMansoura UniversityMansouraP.O.35516Egypt

Deep metric learning is one of the recommended methods for the challenge of supporting few/zero-shot learning by deep *** depends on building a Siamese architecture of two homogeneous Convolutional Neural Networks(CNNs)for learning a distance function that can map input data from the input space to the feature *** of determining the class of each sample,the Siamese architecture deals with the existence of a few training samples by deciding if the samples share the same class identity or *** traditional structure for the Siamese architecture was built by forming two CNNs from scratch with randomly initialized weights and trained by binary cross-entropy *** two CNNs from scratch is a trial and error and time-consuming *** addition,training with binary crossentropy loss sometimes leads to poor *** this paper,a novel Siamese network is proposed and applied to few/zero-shot Handwritten Character Recognition(HCR)*** novelties of the proposed network are in.1)Utilizing transfer learning and using the pre-trained AlexNet as a feature extractor in the Siamese ***-tuning a pre-trained network is typically faster and easier than building from scratch.2)Training the Siamese architecture with contrastive loss instead of the binary *** loss helps the network to learn a nonlinear mapping function that enables it to map the extracted features in the vector space with an optimal *** proposed network is evaluated on the challenging Chars74K datasets by conducting two *** is for testing the proposed network in few-shot learning while the other is for testing it in zero-shot *** recognition accuracy of the proposed network reaches to 85.6%and 82%in few-and zero-shot learning *** addition,a comparison between the performance of the proposed Siamese network and the traditional Siamese CNNs is *** comparison results show that the proposed network achieves hi

关键词： Handwritten character recognition(HCR) few-shot learning zero-shot learning deep metric learning transfer learning contrastive loss Chars74K datasets

Optimal Tuning of FOPID-Like Fuzzy Controller for High-Performance Fractional-Order Systems

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第1期70卷 171-180页

作者： Ahmed M.Nassef Hegazy rezk College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Computers and Automatic Control Engineering Faculty of EngineeringTanta UniversityTanta31733Egypt Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt

This paper addresses improvements in fractional order(FO)system *** the classical proportional-integral-derivative(PID)-like fuzzy controller can provide adequate results for both transient and steady-state responses in both linear and nonlinear systems,the FOPID fuzzy controller has been proven to provide better *** high performance was obtained thanks to the combinative benefits of FO and fuzzy-logic *** paper describes how the optimal gains and FO parameters of the FOPID controller were obtained by the use of a modern optimizer,social spider optimization,in order to improve the response of fractional dynamical *** group of systems had usually produced multimodal error surfaces/functions that occasionally had many variant local *** integral time of absolute error(ITAE)used in this study was the error *** results showed that the strategy adopted produced superior performance regarding the lowest ITAE *** reached a value of 88.22 while the best value obtained in previous work was 98.87.A further comparison between the current work and previous studies concerning transient-analysis factors of the model’s response showed that the strategy proposed was the only one that was able to produce fast rise time,low-percentage overshoot,and very small steady-state ***,the other strategies were good for one factor,but not for the others.

关键词： Fuzzy-logic control fractional-order systems parameter estimation optimization

An Efficient Ensemble Model for Various Scale Medical Data

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第10期73卷 1283-1305页

作者： Heba A.Elzeheiry Sherief Barakat a.ira.rezk Information System Department Faculty of Computers and InformationMansoura UniversityMansoura35516Egypt

Electronic Health Records(EHRs)are the digital form of patients’medical reports or *** facilitate advanced analytics and aid in better decision-making for clinical *** data are very complicated and using one classification algorithm to reach good results is *** this reason,we use a combination of classification techniques to reach an efficient and accurate classification *** model combination is called the Ensemble *** need to predict new medical data with a high accuracy value in a small processing *** propose a new ensemble model MDRL which is efficient with different *** MDRL gives the highest accuracy *** saves the processing time instead of processing four different algorithms sequentially;it executes the four algorithms in *** implement five different algorithms on five variant datasets which are Heart Disease,Health General,Diabetes,Heart Attack,and Covid-19 *** four algorithms are Random Forest(RF),Decision Tree(DT),Logistic Regression(LR),and Multi-layer Perceptron(MLP).In addition to MDRL(our proposed ensemble model)which includes MLP,DT,RF,and LR *** our experiments,we conclude that our ensemble model has the best accuracy value for most *** reach that the combination of the Correlation Feature Selection(CFS)algorithm and our ensemble model is the best for giving the highest accuracy *** accuracy values for our ensemble model based on CFS are 98.86,97.96,100,99.33,and 99.37 for heart disease,health general,Covid-19,heart attack,and diabetes datasets respectively.

关键词： Electronic health records(EHRs) Random forest(RF) Decision tree(DT) linear model(LR) Multi-layer Perceptron(MLP) MDRL correlation feature selection(CFS)

A Transfer Learning-Enabled Optimized Extreme Deep Learning Paradigm for Diagnosis of COVID-19

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第1期70卷 1381-1399页

作者： Ahmed Reda Sherif Barakat a.ira.rezk Department of Information System Faculty of Computer and Information ScienceMansoura UniversityMansouraEgypt

Many respiratory infections around the world have been caused by ***-19 is one of the most serious coronaviruses due to its rapid spread between people and the lowest survival *** is a high need for computer-assisted diagnostics(CAD)in the area of artificial intelligence to help doctors and radiologists identify COVID-19 patients in cloud *** learning(ML)has been used to examine chest X-ray *** this paper,a new transfer learning-based optimized extreme deep learning paradigm is proposed to identify the chest X-ray picture into three classes,a pneumonia patient,a COVID-19 patient,or a normal ***,three different pre-trainedConvolutionalNeuralNetwork(CNN)models(resnet18,resnet25,densenet201)are employed for deep feature ***,each feature vector is passed through the binary Butterfly optimization algorithm(bBOA)to reduce the redundant features and extract the most representative ones,and enhance the performance of the CNN *** selective features are then passed to an improved Extreme learning machine(ELM)using a BOA to classify the chest X-ray *** proposed paradigm achieves a 99.48%accuracy in detecting covid-19 cases.

关键词： Butterfly optimization algorithm(BOA) covid-19 chest X-ray images convolutional neural network(CNN) extreme learning machine(ELM) feature selection