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A Deep Real-Time Fire Prediction Parallel D-CNN Model on UDOO BOLT V8

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Computers, Materials & Continua 2022年第12期73卷 6237-6252页

作者： amal h.alharbi hanan A.hosni Mahmoud Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

hazardous incidences have significant influences on human life,and fire is one of the foremost causes of such hazard in most *** prediction and classification model from a set of fire images can decrease the risk of losing human lives and *** promotion of fire emergency can be of great ***,construction of these prediction models is relevant and *** article proposes an operative fire prediction model that depends on a prediction unit embedded in the processor UDOO BOLT V8 hardware to predict fires in real time.A fire image database is improved to enhance the images quality prior to classify them as either fire or *** proposed deep learning-based Very Deep Convolutional Networks Visual Geometry Group(VGG-16)model(Parallel VGG-16)is an enhanced version of the VGG-16 model,by incorporating parallel convolution layers and a fusion module for better *** experimental results validate the performance of the Parallel VGG-16 which achieves an accuracy of 97%,compared to the compared state-of-the-art ***,we integrate the prediction module into a UDOO BOLT V8 computer,which precisely controlled the fire alarm so that it can cautious people from fire in real *** this paper we propose a complete fire prediction model using a camera and the UDOO BOLT V8 embedded *** experiments validate the effectiveness and applicability of the proposed fire model.

关键词： Fire prediction UDOO BOLT V8 deep learning

Computerized Detection of Limbal Stem Cell Deficiency from Digital Cornea Images

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Computer Systems Science & Engineering 2022年第2期40卷 805-821页

作者： hanan A.hosni Mahmoud Doaa S.Khafga amal h.alharbi Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11047KSA

Limbal Stem Cell Deficiency(LSCD)is an eye disease that can cause corneal opacity and *** its advanced stage it can lead to a degree of visual *** involves the changing in the semispherical shape of the cornea to a drooping shape to downwards *** is hard to be diagnosed at early *** color and texture of the cornea surface can provide significant information about the cornea affected by *** such as shape and texture are very crucial to differentiate normal from LSCD *** several medical approaches exist,most of them requires complicated procedure and medical ***,in this paper,we pursued the development of a LSCD detection technique(LDT)utilizing image processing *** diagnosis of LSCD is very crucial for physicians to arrange for effective *** the proposed technique,we developed a method for LSCD detection utilizing frontal eye images.A dataset of 280 eye images of frontal and lateral LSCD and normal patients were used in this ***,the cornea region of both frontal and lateral images is segmented,and the geometric features are extracted through the automated active contour model and the spline *** the texture features are extracted using the feature selection *** experimental results exhibited that the combined features of the geometric and texture will exhibit accuracy of 95.95%,sensitivity of 97.91% and specificity of 94.05% with the random forest classifier of n=*** a result,this research developed a Limbal stem cell deficiency detection system utilizing features’fusion using image processing techniques for frontal and lateral digital images of the eyes.

关键词： Feature extraction corneal opacity geometric features computerized detection image processing

Spoofing Face Detection Using Novel Edge-Net Autoencoder for Security

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Intelligent Automation & Soft Computing 2023年第3期35卷 2773-2787页

作者： amal h.alharbi S.Karthick K.Venkatachalam Mohamed Abouhawwash Doaa Sami Khafaga Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh 11671Saudi Arabia Department of Electrical Electronics and Communication Engineering GITAM School of TechnologyGITAM Deemed to be UniversityBengaluru CampusKarnataka560065India Department of Computer Science and Engineering CHRIST(Deemed to be University)Bangalore560074India Department of Mathematics Faculty of ScienceMansoura UniversityMansoura 35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

Recent security applications in mobile technologies and computer sys-tems use face recognition for high-end *** numerous security tech-niques,face recognition is considered a high-security *** fuse and carry out face identiﬁcation as an access authority into these ***,face identiﬁcation authentication is sensitive to attacks with a 2-D photo image or captured video to access the system as an authorized *** the existing spooﬁng detection algorithm,there was some loss in the recreation of *** research proposes an unobtrusive technique to detect face spooﬁng attacks that apply a single frame of the sequenced set of frames to overcome the above-said *** research offers a novel Edge-Net autoencoder to select convoluted and dominant features of the input diffused ***,this pro-posed method is tested with the Cross-ethnicity Face Anti-spooﬁng(CASIA),Fetal alcohol spectrum disorders(FASD)*** database has three models of attacks:distorted photographs in printed form,photographs with removed eyes portion,and video *** images are taken with three different quality cameras:low,average,and high-quality real and spoofed *** extensive experimental study was performed with CASIA-FASD,3 Diagnostic Machine Aid-Digital(DMAD)dataset that proved higher results when compared to existing algorithms.

关键词： Image processing edge detection edge net auto-encoder face authentication digital security

Al-Biruni Earth Radius Optimization for COVID-19 Forecasting

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Computer Systems Science & Engineering 2023年第7期46卷 883-896页

作者： El-Sayed M.El-kenawy Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mostafa Abotaleb Tatiana Makarovskikh amal h.alharbi Doaa Sami Khafaga Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams University11566CairoEgypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura University35516MansouraEgypt Department of System Programming South Ural State University454080ChelyabinskRussia Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia

Several instances of pneumonia with no clear etiology were recorded in Wuhan,China,on December 31,*** world health organization(WhO)called it COVID-19 that stands for“Coronavirus Disease 2019,”which is the second version of the previously known severe acute respiratory syndrome(SARS)Coronavirus and identified in short as(SARSCoV-2).There have been regular restrictions to avoid the infection spread in all countries,including Saudi *** prediction of new cases of infections is crucial for authorities to get ready for early handling of the virus ***:Analysis and forecasting of epidemic patterns in new SARSCoV-2 positive patients are presented in this research using metaheuristic optimization and long short-term memory(LSTM).The optimization method employed for optimizing the parameters of LSTM is Al-Biruni Earth Radius(BER)***:To evaluate the effectiveness of the proposed methodology,a dataset is collected based on the recorded cases in Saudi Arabia between March 7^(th),2020 and July 13^(th),*** addition,six regression models were included in the conducted experiments to show the effectiveness and superiority of the proposed *** achieved results show that the proposed approach could reduce the mean square error(MSE),mean absolute error(MAE),and R^(2)by 5.92%,3.66%,and 39.44%,respectively,when compared with the six base *** the other hand,a statistical analysis is performed to measure the significance of the proposed ***:The achieved results confirm the effectiveness,superiority,and significance of the proposed approach in predicting the infection cases of COVID-19.

关键词： COVID-19 prediction meta-heuristic optimization LSTM Al-Biruni earth radius algorithm

Efficient Mapping of high Order Basis Sets for Unbounded Domains

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Communications in Computational Physics 2018年第6期24卷 69-85页

作者： Faisal Mumtaz Fahhad h.alharbi College of Science and Engineering Hamad Bin Khalifa UniversityDohaQatar Qatar Environment&Energy Research Institute(QEERI) Hamad Bin Khalifa UniversityDohaQatar

Many physical problems involve unbounded domains where the physical quantities vanish at ***,this has been handled using different techniques such as domain truncation,approximations using infinitely extended and vanishing basis sets,and mapping bounded basis sets using some coordinate *** technique has its own advantages and ***,approximating simultaneously and efficiently a wide range of decaying rates has persisted as major ***,coordinate transformation,if not carefully implemented,can result in non-orthogonal mapped basis *** this work,we revisited this issue with an emphasize on designing appropriate transformations using sine series as basis *** transformations maintain both the orthogonality and the ***,using simple basis set(sine function)help avoid the expensive numerical *** the calculations,four types of physically recurring decaying behaviors are considered,which are:non-oscillating and oscillating exponential decays,and non-oscillating and oscillating algebraic *** results and the analyses show that properly designed high-order mapped basis sets can be efficient tools to handle challenging physical problems on unbounded *** rate ranges as large of 6 orders of magnitudes can be approximated efficiently and concurrently.

关键词： Mapped basis sets unbounded domain spectral method

Impact Assessment of Plug-in Electric Vehicle Charging Locations on Power Systems with Integrated Wind Farms Incorporating Dynamic Thermal Limits

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Journal of Modern Power Systems and Clean Energy 2022年第3期10卷 710-718页

作者： Bader alharbi Dilan Jayaweera Department of Electronic Electrical and Systems EngineeringUniversity of BirminghamBirminghamUK Department of Electrical Engineering College of Engineering in Majmaah UniversityAl-Majmaah 11952Saudi Arabia

The increased presence of electric vehicle charging locations in a power system with high penetration of intermittent wind power potentially leads to operation complexities resulting in abnormal *** paper proposes an innovative framework for assessing the impact of plug-in electric vehicle(PEV)charging locations on a power system with integrated wind farms,incorporating dynamic thermal limits(DTLs).The framework comprises Monte Carlo simulation,which is embedded with stochastic modeling of various uncertainties under the key operating *** part of the modeling framework,the transmission lines are ranked in accordance with the lowest level of expected energy not *** PEV charging demand is then modeled by incorporating DTLs and applied to the least stressed transmission lines,following the IEEE 738-2006 *** new assessment framework is investigated using an IEEE 24-bus test *** results demonstrate that applying DTLs on the least stressed transmission lines in conjunction with the integration of decentralized wind farms and strategic charging location of PEVs significantly improves the security of the energy supply and considerably reduces interruption costs,as opposed to not having such a framework.

关键词： Dynamic thermal limit impact assessment Monte Carlo simulation plug-in electric vehicle wind farm

Thomson effect with hyperbolic two-temperature on magneto-thermo-visco-elasticity

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Applied Mathematics and Mechanics(English Edition) 2021年第9期42卷 1311-1326页

作者： A.M.alharbi M.I.A.OThMAN h.M.ATEF Department of Mathematics College of ScienceTaif UniveristyTaif 21944Saudi Arabia Department of Mathematics Faculty of ScienceZagazig UniversityZagazig 44519Egypt Department of Mathematics Faculty of ScienceDamanhur UniversityDamanhur 22511Egypt

The study considers a homogeneous isotropic thermo-visco-elastic solid with hyperbolic two-temperature to cope up with its two-dimensional(2 D)*** heat conduction equation is influenced by the Thomson ***-Shulman’s theory is used to modify the basic governing equations.A method called"normal mode analysis"is utilized to attain the magnetic field,stress,conductive and thermodynamic temperature,and displacement ***,a number of numerical calculations are performed and discussed to understand the impact of hyperbolic two-temperatures,Thomson parameter,and viscosity on the material mentioned above.

关键词： thermo-visco-elasticity magnetic field hyperbolic two-temperature Lord-Shulman’s theory Thomson coefficient normal mode analysis

A Study of Traveling Wave Structures and Numerical Investigation of Two-Dimensional Riemann Problems with Their Stability and Accuracy

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Computer Modeling in Engineering & Sciences 2023年第3期134卷 2193-2209页

作者： Abdulghani Ragaa alharbi Department of Mathematics College of ScienceTaibah UniversityAl-Madinah Al-Munawarah42353Saudi Arabia

The Riemann wave system has a fundamental role in describing waves in various nonlinear natural phenomena,for instance,tsunamis in the *** paper focuses on executing the generalized exponential rational function approach and some numerical methods to obtain a distinct range of traveling wave structures and numerical results of the two-dimensional Riemann *** stability of obtained traveling wave solutions is analyzed by satisfying the constraint conditions of the hamiltonian *** simulations are investigated via the finite difference method to verify the accuracy of the obtained *** extract the approximation solutions to the underlying problem,some ODE solvers in FORTRAN software are applied,and outcomes are shown *** stability and accuracy of the numerical schemes using Fourier’s stabilitymethod and error analysis,respectively,to increase the reassurance are investigated.A comparison between the analytical and numerical results is obtained and graphically *** proposed methods are effective and practical to be applied for solving more partial differential equations(PDEs).

关键词： The Riemann wave equation hamiltonian system solitary solutions numerical solutions stability accuracy

A Learning Model to Detect Android C&C Applications Using hybrid Analysis

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Computer Systems Science & Engineering 2022年第12期43卷 915-930页

作者： Attia Qammar Ahmad Karim Yasser alharbi Mohammad Alsaffar Abdullah.alharbi Department of Information Technology Bahauddin Zakariya UniversityMultan60000Pakistan College of Computer Science and Engineering University of HailHa’il81451Saudi Arabia

Smartphone devices particularly Android devices are in use by billions of people everywhere in the ***,this increasing rate attracts mobile botnet attacks which is a network of interconnected nodes operated through the command and control(C&C)method to expand malicious *** present,mobile botnet attacks launched the Distributed denial of services(DDoS)that causes to steal of sensitive data,remote access,and spam generation,***quently,various approaches are defined in the literature to detect mobile botnet attacks using static or dynamic *** this paper,a novel hybrid model,the combination of static and dynamic methods that relies on machine learning to detect android botnet applications is ***,results are evaluated using machine learning *** Random Forest(RF)classifier outperform as compared to other ML techniques i.e.,Naïve Bayes(NB),Support Vector Machine(SVM),and Simple Logistic(SL).Our proposed framework achieved 97.48%accuracy in the detection of botnet ***,some future research directions are highlighted regarding botnet attacks detection for the entire community.

关键词： Android botnet botnet detection hybrid analysis machine learning classifiers mobile malware