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Journal of Environmental Science and Engineering 2011年第3期5卷 344-356页

作者： m.A. Bashir H. Tanakamaru A. Tada A.E.khalid Agricultural Research Corporation Wad Medani 126 Sudan Graduate School of Agricultural Science Kobe University Kobe 657-8501 Japan

The effective and efficient management of agricultural water use is crucial to enhance agricultural production to meet the demand of a rapidly growing population. The performance assessment studies are successfully used to describe the irrigation problems and provide remedial measures. In this study, the performance assessment of the twin main canals of the Gezira Scheme were examined and evaluated using a set of performance indicators. The analysis was made using 3 Landsat and 8 modis data of 2001-2002, and results showed that the seasonal average values of water productivity, relative water supply, overall consumed ratio, depleted fraction and relative evapotranspiration were respectively 0.47, 0.72, 1.41, 0.75 and 0.57 kg·m-3 for Gezira main canal, whereas the values for managil main canal were 0.43, 0.54, 1.68, 0.71 and 0.50 kg·m-3, respectively. The monthly average values of crop water deficit for Gezira and managil were respectively 71 and 78 mm·month-1. Considering the spatial variation in some indicators, the irrigation uniformity is deemed as poor according to molden and Gates (1990). The analysis also showed that the gap between water demand and supply during winter season was glaringly high (46%).

关键词：绩效评估水管理灌溉干旱环境遥感苏丹 mODIS 农业生产

具有高品质因数的剪切力扫描近场光学显微镜在液体中的生物成像(英文)

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电子显微学报 2006年第4期25卷 298-306页

作者：雷 F H 卡里德 K 科瑞特 L 特萨迪 A 特洛瓦约 m 芒费 m 法国兰斯大学药学院&法国国家科技中心 MeDIAN联合实验室法国兰斯大学理学院 LMEN实验室

基于剪切力的探针-试样间距控制扫描近场光学显微镜用于生物材料在液体中的成像比在空气中难得多。液体的黏性阻尼和软的试样表面要求更高的力检测灵敏度。最近我们试验成功的压电双晶片剪切力检测器结合力反馈技术,可以大幅度提高双晶... 详细信息

基于剪切力的探针-试样间距控制扫描近场光学显微镜用于生物材料在液体中的成像比在空气中难得多。液体的黏性阻尼和软的试样表面要求更高的力检测灵敏度。最近我们试验成功的压电双晶片剪切力检测器结合力反馈技术,可以大幅度提高双晶片的机械谐振品质因数,从而改善在粘滞液体中力检测灵敏度。当双晶片在它的某一本征频率下被激励,通过调节一个适当的反馈力,它的机械谐振品质因数在水中可以从40增强到103,因此成像灵敏度获得显著改善。上述力检测技术被用于一些生物试样在液体环境下的拓扑和近场光学成像。所得到的力、相位和光学图像显示了高的成像质量和分辨率。实验结果证明上述装置尤其适宜于近场光学显微镜在生物领域的应用。

关键词：扫描近场光学显微镜剪切力距离控制品质因数增强液体中的生物成像

Federated Learning with Blockchain Assisted Image Classification for Clustered UAV Networks

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Computers, materials & Continua 2022年第7期72卷 1195-1212页

作者： Ibrahim Abunadi maha m.Althobaiti Fahd N.Al-Wesabi Anwer mustafa Hilal mohammad medani manar Ahmed Hamza mohammed Rizwanullah Abu Serwar Zamani Department of Information Systems Prince Sultan UniversityRafha StreetRiyadh11586Saudi Arabia Department of Computer Science College of Computing and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’a61101Yemen Department of Computer and Self Development Prince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia

The evolving“Industry 4.0”domain encompasses a collection of future industrial developments with cyber-physical systems(CPS),Internet of things(IoT),big data,cloud computing,***,the industrial Internet of things(IIoT)directs data from systems for monitoring and controlling the physical world to the data processing system.A major novelty of the IIoT is the unmanned aerial vehicles(UAVs),which are treated as an efficient remote sensing technique to gather data from large *** are commonly employed in the industrial sector to solve several issues and help decision *** the strict regulations leading to data privacy possibly hinder data sharing across autonomous *** learning(FL)becomes a recent advancement of machine learning(mL)which aims to protect user *** this aspect,this study designs federated learning with blockchain assisted image classification model for clustered UAV networks(FLBIC-CUAV)on IIoT *** proposed FLBIC-CUAV technique involves three major processes namely clustering,blockchain enabled secure communication and FL based image *** UAV cluster construction process,beetle swarm optimization(BSO)algorithm with three input parameters is designed to cluster the UAVs for effective *** addition,blockchain enabled secure data transmission process take place to transmit the data from UAVs to cloud ***,the cloud server uses an FL with Residual Network model to carry out the image classification process.A wide range of simulation analyses takes place for ensuring the betterment of the FLBIC-CUAV *** experimental outcomes portrayed the betterment of the FLBIC-CUAV approach over the recent state of art methods.

关键词： UAV networks clustering secure communication blockchain federated learning image classification

Analysis of strong refractive effect within 11Li projectile structure

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Chinese Physics C 2021年第2期45卷 414-425页

作者： Kassem O.Behairy m.El-Azab Farid Awad A.Ibraheem Ola Ramadan m.Anwar Physics Department Aswan UniversityAswan 81528Egypt Physics Department Assiut UniversityAssiut 71516Egypt Physics Department King Khalid UniversityAbhaSaudi Arabia Physics Department Al-Azhar UniversityAssiut 71524Egypt

In the context of the double folding optical model,the strong refractive effect for elastic scattering of 11Li+12C and 11Li+28Si systems at incident energies of 29,50,and 60 meV/n is *** folded potentials are generated based on a variety of nucleon-nucleon interactions with the suggested density distributions for the halo structure of 11Li *** rearrangement term(RT)of the extended realistic density dependent CDm3Y6 effective interaction is *** imaginary potential was taken in the traditional standard Woods-Saxon *** results for the calculated potentials are obtained,with a slight effect of the RT in CDm3Y6 *** reproduction with a normalization factor close to one for the observed angular distributions of the elastic scattering differential cross section has been achieved using the derived *** obtained reaction cross-section is studied as a guide by extrapolating our calculations and previous results.

关键词： optical model elastic and inelastic scattering halo nuclei folding model refraction effect

Deep Learning Enabled microarray Gene Expression Classification for Data Science Applications

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Computers, materials & Continua 2022年第11期73卷 4277-4290页

作者： Areej A.malibari Reem m.Alshehri Fahd N.Al-Wesabi Noha Negm mesfer Al Duhayyim Anwer mustafa Hilal Ishfaq Yaseen Abdelwahed motwakel Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

In bioinformatics applications,examination of microarray data has received significant interest to diagnose *** gene expression data can be defined by a massive searching space that poses a primary challenge in the appropriate selection of *** data classification incorporates multiple disciplines such as bioinformatics,machine learning(mL),data science,and pattern *** paper designs an optimal deep neural network based microarray gene expression classification(ODNN-mGEC)model for bioinformatics *** proposed ODNN-mGEC technique performs data normalization process to normalize the data into a uniform ***,improved fruit fly optimization(IFFO)based feature selection technique is used to reduce the high dimensionality in the biomedical ***,deep neural network(DNN)model is applied for the classification of microarray gene expression data and the hyperparameter tuning of the DNN model is carried out using the Symbiotic Organisms Search(SOS)*** utilization of IFFO and SOS algorithms pave the way for accomplishing maximum gene expression classification *** examining the improved outcomes of the ODNN-mGEC technique,a wide ranging experimental analysis is made against benchmark *** extensive comparison study with recent approaches demonstrates the enhanced outcomes of the ODNN-mGEC technique in terms of different measures.

关键词： Bioinformatics data science microarray gene expression data classification deep learning metaheuristics

Feature Selection with Stacked Autoencoder Based Intrusion Detection in Drones Environment

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Computers, materials & Continua 2022年第12期73卷 5441-5458页

作者： Heba G.mohamed Saud S.Alotaibi majdy m.Eltahir Heba mohsen manar Ahmed Hamza Abu Sarwar Zamani Ishfaq Yaseen Abdelwahed motwakel Department of Electrical Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia

The Internet of Drones(IoD)offers synchronized access to organized airspace for Unmanned Aerial Vehicles(known as drones).The availability of inexpensive sensors,processors,and wireless communication makes it possible in real time *** several applications comprise IoD in real time environment,significant interest has been received by research *** IoD operates in wireless environment,it is needed to design effective intrusion detection system(IDS)to resolve security issues in the IoD *** article introduces ametaheuristics feature selection with optimal stacked autoencoder based intrusion detection(mFSOSAEID)in the IoD *** major intention of the mFSOSAE-ID technique is to identify the occurrence of intrusions in the IoD *** do so,the proposed mFSOSAE-ID technique firstly pre-processes the input data into a compatible *** addition,the presented mFSOSAEID technique designs a moth flame optimization based feature selection(mFOFS)technique to elect appropriate ***,firefly algorithm(FFA)with stacked autoencoder(SAE)model is employed for the recognition and classification of intrusions in which the SAE parameters are optimally tuned with utilize of *** performance validation of the mFSOSAE-ID model was tested utilizing benchmark dataset and the outcomes implied the promising performance of the mFSOSAE-ID model over other techniques with maximum accuracy of 99.72%.

关键词： Internet of drones unmanned aerial vehicles security intrusion detection machine learning

Folded novel accurate analytical and semi-analytical solutions of a generalized Calogero–Bogoyavlenskii–Schiff equation

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Communications in Theoretical Physics 2021年第9期73卷 26-36页

作者： mostafa m A Khater S K Elagan m A El-Shorbagy S H Alfalqi J F Alzaidi Nawal A Alshehri Department of mathematics Faculty of ScienceJiangsu University212013ZhenjiangChina Department of mathematics Obour High Institute For Engineering and Technology11828CairoEgypt Department of mathematics Faculty of ScienceTaif University P.O.Box 11099Taif 21944Saudi Arabia Department of mathematics College of Science and Humanities in Al-KharjPrince Sattam bin Abdulaziz UniversityAl-Kharj 11942Saudi Arabia Department of Basic Engineering Science Faculty of EngineeringMenoufia UniversityShebin El-Kom 32511Egypt Department of mathematics Faculty of Science and ArtsMahayil Asir King Khalid UniversityAbhaSaudi Arabia

This paper studies the analytical and semi-analytic solutions of the generalized Calogero–Bogoyavlenskii–Schiff(CBS)*** model describes the(2+1)–dimensional interaction between Riemann-wave propagation along the y-axis and the x-axis *** extended simplest equation(ESE)method is applied to the model,and a variety of novel solitarywave solutions is *** solitary-wave solutions prove the dynamic behavior of soliton waves in *** accuracy of the obtained solution is verified using a variational iteration(VI)semi-analytical *** analysis and the match between the constructed analytical solution and the semi-analytical solution are sketched using various diagrams to show the accuracy of the solution we *** adopted scheme’s performance shows the effectiveness of the method and its ability to be applied to various nonlinear evolution equations.

关键词： generalized Calogero-Bogoyavlenskii-Schiff equation accurate analytical semianalytical solutions

Comparative Analysis of COVID-19 Detection methods Based on Neural Network

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Computers, materials & Continua 2023年第7期76卷 1127-1150页

作者： Inès Hilali-Jaghdam Azhari A Elhag Anis Ben Ishak Bushra m.Elamin Elnaim Omer Eltag mohammed Elhag Feda muhammed Abuhaimed S.Abdel-Khalek Computer Sciences and Information Technology Programs Applied CollegePrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia Department of mathematics and Statistics College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Quantitative methods Higher Institute of ManagementUniversity of Tunis1073Tunisia Department of Computer Science College of Science and Humanities in Al-SulailPrince Sattam Bin Abdulaziz UniversityAl KharjSaudi Arabia Department of Computer Science Faculty of Science and ArtsKing Khalid UniversityAbha61421Saudi Arabia Department of mathematics Faculty of ScienceSohag UniversitySohagEgypt

In 2019,the novel coronavirus disease 2019(COVID-19)ravaged the *** of July 2021,there are about 192 million infected people worldwide and 4.1365 million *** present,the new coronavirus is still spreading and circulating in many places around the world,especially since the emergence of Delta variant strains has increased the risk of the COVID-19 pandemic *** symptoms of COVID-19 are diverse,and most patients have mild symptoms,with fever,dry cough,and fatigue as the main manifestations,and about 15.7%to 32.0%of patients will develop severe *** are screened in hospitals or primary care clinics as the initial step in the therapy for *** transcription-polymerase chain reaction(PCR)tests are still the primary method for making the final diagnosis,in hospitals today,the election protocol is based on medical imaging because it is quick and easy to use,which enables doctors to diagnose illnesses and their effects more *** to this approach,individuals who are thought to have COVID-19 first undergo an X-ray session and then,if further information is required,a CT-scan *** methodology has led to a significant increase in the use of computed tomography scans(CT scans)and X-ray pictures in the clinic as substitute diagnostic methods for identifying *** provide a significant collection of various datasets and methods used to diagnose COVID-19,this paper provides a comparative study of various state-of-the-art *** impact of medical imaging techniques on COVID-19 is also discussed.

关键词： Neural networks frameworks intelligent systems COVID-19 CT

Fractional Optimal Control of Navier-Stokes Equations

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Computers, materials & Continua 2020年第8期64卷 859-870页

作者： Abd-Allah Hyder m.El-Badawy King khalid University College of ScienceDepartment of MathematicsP.O.Box 900461413AbhaSaudi Arabia Department of Engineering mathematics and Physics Faculty of EngineeringAl-Azhar UniversityCairo11371Egypt mathematics Department Al-Azhar UniversityCairoEgypt

In this paper,the non-stationary incompressible fluid flows governed by the Navier-Stokes equations are studied in a bounded *** study focuses on the time-fractional Navier-Stokes equations in the optimal control subject,where the control is distributed within the domain and the time-fractional derivative is proposed as Riemann-Liouville *** addition,the control object is to minimize the quadratic cost *** using the Lax-milgram lemma with the assistance of the fixed-point theorem,we demonstrate the existence and uniqueness of the weak solution to this ***,for a quadratic cost functional subject to the time-fractional Navier-Stokes equations,we prove the existence and uniqueness of optimal ***,via the variational inequality upon introducing the adjoint linearized system,some inequalities and identities are given to guarantee the first-order necessary optimality conditions.A direct consequence of the results obtained here is that when a→1,the obtained results are valid for the classical optimal control of systems governed by the Navier-Stokes equations.

关键词： Optimal control lax-milgram lemma fixed point theorem navier-stokes equations

mHD Boundary Layer Flow of a Power-Law Nanofluid Containing Gyrotactic microorganisms Over an Exponentially Stretching Surface

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Computers, materials & Continua 2020年第2期62卷 525-549页

作者： mohamed Abd El-Aziz A.m.Aly Department of mathematics Faculty of ScienceKing Khalid UniversityAbha61411Saudi Arabia Department of mathematics Faculty of ScienceHelwan UniversityHelwan-Cairo11795Egypt Department of mathematics Faculty of ScienceSouth Valley UniversityQena83523Egypt

This study focusses on the numerical investigations of boundary layer flow for magnetohydrodynamic(mHD)and a power-law nanofluid containing gyrotactic microorganisms on an exponentially stretching surface with zero nanoparticle mass flux and convective *** nonlinear system of the governing equations is transformed and solved by Runge-Kutta-Fehlberg *** impacts of the transverse magnetic field,bioconvection parameters,Lewis number,nanofluid parameters,Prandtl number and power-law index on the velocity,temperature,nanoparticle volume fraction,density of motile microorganism profiles is *** addition,the impacts of these parameters on local skin-friction coefficient,local Nusselt,local Sherwood numbers and local density number of the motile microorganisms are *** results reveal that the power law index is considered an important factor in this *** to neglecting the buoyancy force term,the bioconvection and nanofluid parameters have slight effects on the velocity *** resultant Lorentz force,from increasing the magnetic field parameter,try to decrease the velocity profiles and increase the rescaled density of motile microorganisms,temperature and nanoparticle volume fraction ***,an augmentation of power-law index drops the reduced local skin-friction and reduced Sherwood number,while it increases reduced Nusselt number and reduced local density number of motile microorganisms.

关键词： Bioconvection gyrotactic microorganisms magnetohydrodynamic nanofluid boundary layer power-law