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Analysis and Assessment of Wind Energy Potential of Almukalla in Yemen

Computers, materials & Continua 2022年第8期72卷 3113-3129页

作者： murad A.A.Almekhlafi Fahd N.Al-Wesabi majdy m.Eltahir Anwer mustafa Hilal Amin m.El-Kustaban Abdelwahed motwakel Ishfaq Yaseen manar Ahmed Hamza Department of Electrical Engineering–Communication Engineering Sana’a UniversityYemen Department of Computer Science King Khalid UniversityMuhayelAseerSaudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Information Systems King Khalid UniversityMuhayelAseerSaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Electronic Department Faculty of EngineeringUniversity of Science and TechnologySana’aYemen

Energy is an essential element for any civilized country’s social and economic development,but the use of fossil fuels and nonrenewable energy forms has many negative impacts on the environment and the *** Republic of Yemen has very good potential to use renewable ***,we find few studies on renewable wind energy in *** the lack of a similar analysis for the coastal city,this research newly investigates wind energy’s potential near the Almukalla area by analyzing wind ***,evaluation,model identification,determination of available energy density,computing the capacity factors for several wind turbines and calculation of wind energy were extracted at three heights of 15,30,and *** wind speeds were obtained only for the currently available data of five recent years,2005–*** study involves a preliminary assessment of Almukalla’s wind energy potential to provide a primary base and useful insights for wind engineers and *** research aims to provide useful assessment of the potential of wind energy in Almukalla for developing wind energy and an efficient wind *** Weibull distribution shows a perfect approximation for estimating the intensity of Yemen’s wind *** on both theWeibullmodel and the results of the annual wind speed data analysis for the study site in mukalla,the capacity factor for many turbines was also calculated,and the best suitable turbine was *** to the International Wind Energy Rating criteria,Almukalla falls under Category 7,which is,rated“Superb”most of the year.

关键词： Almukalla energy potential Rayleigh distribution Weibull distribution wind power density wind speed

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Competitive multi-Verse Optimization with Deep Learning Based Sleep Stage Classification

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Computer Systems Science & Engineering 2023年第5期45卷 1249-1263页

作者： Anwer mustafa Hilal Amal Al-Rasheed Jaber SAlzahrani majdy m.Eltahir mesfer Al Duhayyim Nermin m.Salem Ishfaq Yaseen Abdelwahed motwakel Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam Bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversitySaudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Science College of Sciences and Humanities-AflajPrince Sattam Bin Abdulaziz UniversitySaudi Arabia Department of Electrical Engineering Faculty of Engineering and TechnologyFuture University in EgyptNew Cairo11835Egypt

Sleep plays a vital role in optimum working of the brain and the *** people suffer from sleep-oriented illnesses like apnea,insomnia,*** stage classification is a primary process in the quantitative examination of polysomnographic *** stage scoring is mainly based on experts’knowledge which is laborious and time ***,it can be essential to design automated sleep stage classification model using machine learning(mL)and deep learning(DL)*** this view,this study focuses on the design of Competitive multi-verse Optimization with Deep Learning Based Sleep Stage Classification(CmVODL-SSC)model using Electroencephalogram(EEG)*** proposed CmVODL-SSC model intends to effectively categorize different sleep stages on EEG ***,data pre-processing is performed to convert the actual data into useful ***,a cascaded long short term memory(CLSTm)model is employed to perform classification *** last,the CmVO algorithm is utilized for optimally tuning the hyperparameters involved in the CLSTm *** order to report the enhancements of the CmVODL-SSC model,a wide range of simulations was carried out and the results ensured the better performance of the CmVODL-SSC model with average accuracy of 96.90%.

关键词： Signal processing EEG signals sleep stage classification clstm model deep learning cmvo algorithm

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On-chip parallel Fourier transform spectrometer for broadband selective infrared spectral sensing

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microsystems & Nanoengineering 2020年第1期6卷 1267-1275页

作者： Alaa Fathy Yasser m.Sabry Sebastien Nazeer Tarik Bourouina Diaa A.Khalil Faculty of Engineering Ain-Shams University1 Elsarayat St.AbbassiaCairoEgypt Si-Ware Systems 3 Khalid Ibn Al-Waleed St.HeliopolisCairoEgypt UniversitéParis-Est ESYCOM EA 2552ESIEE Paris93162 Noisy-le-GrandFrance

Optical spectrometers enable contactless chemical ***,decreasing both their size and cost appears to be a prerequisite to their widespread ***-scale implementation of optical spectrometers still requires tackling two main ***,operation over a broad spectral range extending to the infrared is required to enable covering the molecular absorption spectrum of a broad variety of *** is addressed in our work with an micro-Electro mechanical Systems(mEmS)-based Fourier transform infrared spectrometer with an embedded movable micro-mirror on a silicon ***,fine spectral resolutionΔλis also required to facilitate screening over several chemicals.A fundamental limit states thatΔλis inversely proportional to the mirror motion range,which cannot exceed the chip *** boost the spectral resolution beyond this limit,we propose the concept of parallel(or multi-core)FTIR,where multiple interferometers provide complementary optical paths using the same actuator and within the same *** concept scalability is validated with 4 interferometers,leading to approximately 3 times better spectral *** the atmospheric contents of a greenhouse gas are monitored,the methane absorption bands are successfully measured and discriminated using the presented device.

关键词： interferometer spectral mirror

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malicious URL Classification Using Artificial Fish Swarm Optimization and Deep Learning

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Computers, materials & Continua 2023年第1期74卷 607-621页

作者： Anwer mustafa Hilal Aisha Hassan Abdalla Hashim Heba G.mohamed mohamed K.Nour mashael m.Asiri Ali m.Al-Sharafi mahmoud Othman Abdelwahed motwakel Department of Electrical and Computer Engineering International Islamic University Malaysia 53100 Kuala LumpurMalaysia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Electrical Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Science College of Computers and Information TechnologyUniversity of BishaSaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt

Cybersecurity-related solutions have become familiar since it ensures security and privacy against cyberattacks in this digital *** Uniform Resource Locators(URLs)can be embedded in email or Twitter and used to lure vulnerable internet users to implement malicious data in their *** may result in compromised security of the systems,scams,and other such *** attacks hijack huge quantities of the available data,incurring heavy financial *** the same time,machine Learning(mL)and Deep Learning(DL)models paved the way for designing models that can detect malicious URLs accurately and classify *** this motivation,the current article develops an Artificial Fish Swarm Algorithm(AFSA)with Deep Learning Enabled malicious URL Detection and Classification(AFSADL-mURLC)*** presented AFSADL-mURLC model intends to differentiate the malicious URLs from genuine *** attain this,AFSADL-mURLC model initially carries out data preprocessing and makes use of glove-based word embedding *** addition,the created vector model is then passed onto Gated Recurrent Unit(GRU)classification to recognize the malicious ***,AFSA is applied to the proposed model to enhance the efficiency of GRU *** proposed AFSADL-mURLC technique was experimentally validated using benchmark dataset sourced from Kaggle *** simulation results confirmed the supremacy of the proposed AFSADL-mURLC model over recent approaches under distinct measures.

关键词： malicious URL cybersecurity deep learning machine learning metaheuristics gated recurrent unit

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Computational Analysis of Airflow in Upper Airway under Light and Heavy Breathing Conditions for a Realistic Patient Having Obstructive Sleep Apnea

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Computer modeling in Engineering & Sciences 2021年第8期128卷 583-604页

作者： W.m.Faizal N.N.N.Ghazali C.Y.Khor m.Z.Zainon Irfan Anjum Badruddin Sarfaraz Kamangar Norliza Binti Ibrahim Roziana mohd Razi Faculty of mechanical Engineering Technology University Malaysia PerlisPerlisMalaysia Department of mechanical Engineering Faculty of EngineeringUniversity of MalayaKuala Lumpur50603Malaysia Research Center for Advanced materials Science King Khalid UniversityAbha61413Saudi Arabia Department of mechanical Engineering College of EngineeringKing Khalid UniversityAbha61421Saudi Arabia Department of Oral&maxillofacial Clinical Science Faculty of DentistryUniversity of MalayaKuala Lumpur50603Malaysia Department of Paediatric Dentistry and Orthodontics Faculty of DentistryUniversity of MalayaKuala Lumpur50603Malaysia

Background:Obstructive sleep apnea is a sleeping disorder that has troubled a sizeable *** is an active area of research on obstructive sleep apnea that intends to better understand airflow behaviors and therefore treat patients more *** paper aims to investigate the airflow characteristics of the upper airway in an obstructive sleep apnea(OSA)patient under light and heavy breathing conditions by using Turbulent Kinetic Energy(TKE),an accurate method in expressing the flow concentration mechanisms of sleeping *** is important to visualize the concentration of flow in the upper airway in order to identify the severity level of the obstruction during ***:Computational fluid dynamic(CFD)analysis was used as a solution tool to evaluate the airflow during light and heavy breathing conditions.A medical imaging technique was used to extract the 3D model from the CT scan ***,mesh generation and simulation were carried out via CFD software to evaluate the light and heavy breathing characteristics related to obstructive sleep *** state Reynold’s averaged Navier-Stoke(RANS)with the k-ωshear stress transport(SST)turbulence model was *** airflow characteristics were quantified using parameters such as pressure distribution,skin friction coefficient,velocity profile,Reynolds number,turbulent Reynolds number and turbulence kinetic ***:Contour plots at different planes were used to visualize the airflow distribution as it passed through different cross-sectional areas of the *** results revealed that the presence of a smaller cross-sectional area of the airway caused an increase in airflow parameters,especially during heavy ***,turbulent airflow conditions along the airway were noticed during heavy *** severity of OSA could be measured by the turbulent kinetic energy which is able to show the behavior and concentration of mean *** study is expected to p

关键词： Human upper airway computational fluid dynamics obstructive sleep apnea turbulent kinetic energy

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Effect of UV-Irradiation on Fluorescence of Poly （Para-Ethoxystyrene） Films with Phthalate and Terephthalate Plasticizers

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材料科学与工程（中英文B版） 2018年第3期8卷 100-119页

作者： khalid E. Al Ani Wadhah N. Al Sieadi Thanaa m. Al mouamin Afrah Essa Ramadhan Department of Pharmaceutical Chemistry Faculty of Pharmacy Jadara University Irbid 2111O Jordan Department of Chemistry Faculty of Science Baghdad University Baghdad 1O071 Iraq Department of Industrial Chemistry Institute of Technology Baghdad 10071 Iraq

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Pythagorean Neutrosophic Planar Graphs with an Application in Decision-making

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Computers, materials & Continua 2023年第6期75卷 4935-4953页

作者： P.Chellamani D.Ajay mohammed m.Al-Shamiri Rashad Ismail Department of mathematics Sacred Heart College(Autonomous)Tirupattur635601TamilnaduIndia Department of mathematics St.Joseph’s College of EngineeringOMRChennai600119TamilnaduIndia Department of mathematics Faculty of Science and ArtsKing Khalid UniversityMuhayl AssirSaudi Arabia Department of mathematics and Computer Faculty of ScienceIbb UniversityIbbYemen

Graph theory has a significant impact and is crucial in the structure of many real-life *** simulate uncertainty and ambiguity,many extensions of graph theoretical notions were *** graphs play a vital role in modelling which has the property of non-crossing *** crossing edges benefit,they have some drawbacks,which paved the way for the introduction of planar *** overall purpose of the study is to contribute to the conceptual development of the Pythagorean Neutrosophic *** basic methodology of our research is the incorporation of the analogous concepts of planar graphs in the Pythagorean Neutrosophic *** significant finding of our research is the introduction of Pythagorean Neutrosophic Planar graphs,a conceptual blending of Pythagorean Neutro-sophic and Planar *** idea of Pythagorean Neutrosophic multigraphs and dual graphs are also introduced to deal with the ambiguous *** paper investigates the Pythagorean Neutrosophic planar values,which form the edges of the Pythagorean neutrosophic *** concept of Pythagorean Neutrosophic dual graphs,isomorphism,co-weak and weak isomorphism have also been explored for Pythagorean Neutrosophic planar graphs.A decision-making algorithm was proposed with a numerical illustra-tion by using the Pythagorean Neutrosophic fuzzy graph.

关键词： Pythagorean neutrosophic planar graph planarity value isomorphism dual graphs multigraph

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Vaccinations against respiratory infections in Arabian Gulf countries: Barriers and motivators

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World Journal of Clinical Cases 2017年第6期5卷 212-221页

作者： Amani S Alqahtani Daniah m Bondagji Abdullah A Alshehari mada H Basyouni Tariq m Alhawassi Nasser F Bin Dhim Harunor Rashid School of Public Health the University of Sydney National Centre for Immunisation Research and Surveillance of Vaccine Preventable Diseases (NCIRS) the Children’s Hospital at Westmead and the Discipline of Paediatrics and Child Health Sydney Medical School the University of Sydney ministry of Health Investigational Drugs and Research Unit King Khalid University Hospital College of Pharmacy King Saud University medication Safety Research Chair College of Pharmacy King Saud University Saudi Food and Drug Authority

AIm To study the uptake, barriers and motivators of influen-za, pneumococcal, meningococcal and pertussis vaccines among members of public in Arabian Gulf *** A cross-sectional survey among the Gulf Cooperation Council(GCC) countries' residents. Data collected electronically through a smartphone app. The survey variables aimed to investigate the respondents' awareness about vaccines against influenza, pneumococcal, meningococcal and pertussis infections. Collected data concerning the respondents' socio-demographic characteristics, their perception toward vaccine uptake and the factors that motivate or demotivate them from taking influenza vaccine. The data were analysed statistically using the SPSS v.23.0. Differences in the characteristics of users from different countries were quantified through bivariate analysis. Other important variables and controlling factors were studied using logistic regression. RESULTS A total of 1812 respondents participated in the study. Their mean age was 27 years, 82% were male and 24% had ≥ 1 chronic diseases. The overall uptake of influenza vaccine was 17%(21% among "at risk" people) and ranged from 15% in Saudi Arabia to 24% in Qatar. Doctor's advice(23%) and a perception of having low body immunity(21%) were the main cited reasons for being vaccinated, whereas unawareness about the vaccine(43%) was the main barrier. The overall uptake of pneumococcal vaccine in the preceding three years was 22%(25% among "at risk" individuals) and ranged from 0% in Bahrain to 79% in Kuwait. The overall uptake of pertussis vaccine was 16%(31% among "vulnerable" people), and ranged from 7% in Saudi Arabia to 75% in Oman. The overall uptake of meningococcal vaccine was 20%(29% among the "at risk" people) and ranged from 3% in Oman to 50% in *** The vaccination uptake across GCC countries is suboptimal and varies widely across the countries. Further research is needed to unearth the reasons and formulate action plan.

关键词： Gulf Cooperation Council Influenza meningococcal vaccine motivators and barriers Pertussis vaccine Pneumococcal vaccine Respiratory infections

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Quantile Version of mathai-Haubold Entropy of Order Statistics

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Computer modeling in Engineering & Sciences 2021年第9期128卷 907-925页

作者： Ibrahim m.Almanjahie Javid Gani Dar Amer Ibrahim Al-Omari Aijaz mir Department of mathematics College of ScienceKing Khalid UniversityAbha62529Saudi Arabia Statistical Research and Studies Support Unit King Khalid UniversityAbha62529Saudi Arabia Department of mathematical Sciences IUSTKashmir192231India Department of mathematics Faculty of ScienceAl al-Bayt UniversityMafraq25113Jordan Department of mathematics Govt.Degree College KilamHigher EducationJ&K192231India

many researchers measure the uncertainty of a random variable using quantile-based entropy *** techniques are useful in engineering applications and have some exceptional characteristics than their distribution function *** order statistics,the key focus of this article is to propose new quantile-based mathai-Haubold entropy and investigate its *** divergence measure of themathai-Haubold is also considered and some of its properties are ***,based on order statistics,we propose the residual entropy of the quantile-based mathai-Haubold and some of its property results are *** performance of the proposed quantile-based mathai-Haubold entropy is investigated by simulation ***,a real data application is used to compare our proposed quantile-based entropy to the existing quantile *** results reveal the outperformance of our proposed entropy to the other entropies.

关键词： Shannon entropy mathai-Haubold entropy quantile function residual entropy order statistics failure time reliability measures

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Nanofluid Flows Within Porous Enclosures Using Non-Linear Boussinesq Approximation

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Computers, materials & Continua 2021年第3期66卷 3195-3213页

作者： Sameh E.Ahmed Dalal Alrowaili Ehab mahmoud mohamed Abdelraheem m.Aly Department of mathematics College of ScienceKing Khalid UniversityAbha62529Saudi Arabia Department of mathematics South Valley UniversityQena83523Egypt mathematics Department College of ScienceJouf UniversitySakakaSaudi Arabia Electrical Engineering Department College of EngineeringPrince Sattam Bin Abdulaziz UniversityWadi Addwasir11991Saudi Arabia Electrical Engineering Department Aswan UniversityAswan81542Egypt

In this paper,the Galerkin finite element method(FEm)together with the characteristic-based split(CBS)scheme are applied to study the case of the non-linear Boussinesq approximation within sinusoidal heating inclined enclosures filled with a non-Darcy porous media and *** enclosure has an inclination angle and its side-walls have varying sinusoidal temperature *** working fluid is a nanofluid that is consisting of water as a based nanofluid and Al2O3 as *** porous medium is modeled using the Brinkman Forchheimer extended Darcy *** obtained results are analyzed over wide ranges of the non-linear Boussinesq parameter 0≤ζ≤1,the phase deviation 00≤Φ≤1800,the inclination angle 00≤γ≤900,the nanoparticles volume fraction 0%≤φ≤4%,the amplitude ratio 0≤a≤1 and the Rayleigh number 104≤Ra≤*** results revealed that the average Nusselt number is enhanced by 0.73%,26.46%and 35.42%at Ra=104,105 and 106,respectively,when the non-linearBoussinesq parameter is varied from 0 to *** addition,rate of heat transfer in the case of a non-uniformly heating is higher than that of a uniformly ***-linear Boussinesq parameter rises the flow speed and heat transfer in an *** deviation makes clear changes on the isotherms and heat transfer rate on the right wall of an *** inclination angle varies the flow speed and it has a slight effect on heat transfer in an enclosure.

关键词： CBS scheme non-linear Boussinesq approximation nonuniformly heating non-darcy flow nanofluid

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