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Analysis and Assessment of Wind Energy Potential of almukalla in Yemen

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

作者： Murad A.A.almekhlafi fahd n.al-wesa.i 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 ann.al 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

Synthesis and spark plasma sintering of al-Mg-Zr alloys

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Journal of Central South University 2013年第1期20卷 7-14页

作者： n.Saheb A.S.Hakeem A.Khalil n.al-Aqeeli T.Laoui Department of Mechanical Engineering/Center of Research Excellence in nanotechnology King Fahd University of Petroleum & Minerals (KFUPM)Dhahran 31261Kingdom of Saudi Arabia

although casting is commonly used to process aluminum alloys, powder metallurgy remains a promising technique to develop aluminum based materials for structural and functional applications. The possibility to synthesize al-Mg-Zr alloys through mechanical alloying and spark plasma sintering techniques was explored. al-10Mg-5Zr and al-5Mg-1Zr alloyed powders were synthesized through wet ball milling the appropriate amount of elemen.al powders. The dried milled powders were spark plasma sintered through passing constant pulsed electric current with fixed pulse duration at a pressure of 35 MPa. The samples were vacuum sintered at 450, 500, 550, 600 and 620 ℃ for 10, 15 and 20 min. The al-10Mg-5Zr alloy displays poor densification at lower sintering temperatures of 450, 500, 550 and 600 ℃. its sinterability is improved at a temperature of 620 ℃ whereas sintering temperatures higher than 620 ℃ leads to partial melting of the alloy. it is possible to sinter the al-5Mg-1Zr alloy at 450, 500 and 550 ℃. The increase of sintering temperature improves its densification and increases its hardness. The al-5Mg-iZr alloy displays better densification and hardness compared to al-10Mg-5Zr alloys.

关键词： aluminum alloys mechanical alloying spark plasma sintering powder metallurgy

Secure and resilient improved image steganography using hybrid fuzzy neural network with fuzzy logic

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Journal of Safety Science and Resilience 2024年第1期5卷 91-101页

作者： Sachin Dhawan Hemanta Kumar Bhuyan Subhendu Kumar Pani Vinayakumar Ravi Rashmi Gupta Arun Rana alanoud al Mazroa Dorset College King George BlvdSurreyBritish ColumbiaCanada Department of information Technology Vignan’s Foundation for ScienceTechnology and Research(Deemed to be University)Andhra PradeshIndia Krupajal Computer Academy Biju Patnaik University of Technology(BPUT)Rourkela 751002India Center for Artificial intelligence Prince Mohammad Bin Fahd UniversityKhobarSaudi Arabia nSUT East Campus(Formerly AIACTRDelhi 110031India(Affiliated to Guru Gobind Singh Inderaprastha University))Dwarka 110078India Department of Computer Science and Engineering Galgotias College of Engineering and Technology Greater Noida 201310Uttar PradeshIndia Department of information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman University(PNU)P.O.Box 84428Riyadh 11671Saudi Arabia

The exponential growth in communication networks,data technology,advanced libraries,and mainly World Wide Web services has played a pivotal role in facilitating the retrieval of various types of information as ***,this progress has also led to security concerns related to the transmission of confidential ***,safeguarding these data during communication through insecure channels is crucial for obvious *** emergence of steganography offers a robust approach to concealing confidential information,such as images,audio tracks,text files,and video files,in suitable media carriers.A novel technique is envisioned based on back-propagation *** to the proposed method,a hybrid fuzzy neural network(HFnn)is applied to the output obtained from the least significant bit substitution of secret data using pixel value dif-ferences and exploiting the modification *** simulation and test results,it has been observed that the proposed methodology achieves secure steganography and superior visual *** the experiments,we observed that for the secret image of the cameraman,the PSnR&MSE values of the proposed technique are 61.963895 and 0.041361,respectively.

关键词： image enhancement image processing Steganography Deep learning Fuzzy neural combination

On nonlinear Conformable Fractional Order Dynamical System via Differential Transform Method

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1457-1472页

作者： Kamal Shah Thabet Abdeljawad fahd Jarad Qasem al-Mdallal Department of Mathematics and Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Department of Mathematics University of MalakandChakdara Dir(L)Khyber Pakhtunkhwa18000Pakistan Department of Medical Research China Medical UniversityTaichung40402Taiwan Department of Mathematics Faculty of Arts and Sciences莂nkaya UniversityAnkara06790Turkey Department of Mathematical Sciences UAE UniversityAl-Ain15551United Arab Emirates

This article studies a nonlinear fractional order Lotka-Volterra prey-predator type dynamical *** the proposed study,we consider the model under the conformable fractional order derivative(CFOD).We investigate the mentioned dynamical system for the existence and uniqueness of at least one ***,Schauder and Banach fixed point theorems are utilized to prove our ***,an.algorithm for the approximate analytical solution to the proposed problem has been *** this regard,the conformable fractional differential transform(CFDT)technique is used to compute the required results in the form of a *** Matlab-16,we simulate the series solution to illustrate our results ***,a comparison of our solution to that obtained for the Caputo fractional order derivative via the perturbation method is given.

关键词： Prey predator model existence results conformable fractional differential transform

Unsupervised intrusion detection system for in-vehicle communication networks

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Journal of Safety Science and Resilience 2024年第2期5卷 119-129页

作者： Kabilan n Vinayakumar Ravi V Sowmya Center for Computational Engineering and networking(CEn) Amrita School of Artificial InteligenceAmrita Vishwa VidyapeethamCoimbatoreIndia Center for Artificial intlligence Prince Mohammad Bin Fahd UniversityKhobarSaudi Arabia

in-vehicle communication has been optimized day to day to keep updated of the *** area network(CAn)is used as a standard communication method because of its efficient and reliable ***,CAn is prone to several network level attacks because of its lack in security *** methods have been introduced to incorporate this in *** proposed an unsupervised method of intrusion detection for in-vehicle communication networks by combining the optimal feature extracting ability of autoencoders and more precise clustering using fuzzy C-means(FCM).The proposed method is light weight and requires less computation *** performed an extensive experiment and achieved an accuracy of 75.51%with the ML35o in-vehicle intrusion *** experimen.al result,the proposed method also works better for other intrusion detection problems like wireless intrusion detection datasets such as WnS-DS with accuracy of 84.05%and network intrusion detection datasets such as KDDCup with accuracy 60.63%,UnSW_nB15 with accuracy 73.62%and information Security Center of Excellence(iscx)with accuracy 74.83%.Overall,the proposed method outperforms the existing methods and avoids labeled datasets when training an in-vehicle intrusion detection *** results of the experiment of our proposed method performed on various intru-sion detection datasets indicate that the proposed approach is generalized and robust in detecting intrusions and can be effectively deployed in real time to monitor CAn traffic in vehicles and proactively alert during attacks.

关键词： Controlarea network intrusiondetection Unsupervised learning Autoencoders Fuzzy C-means

novel frameshift mutation in the SACS gene causing spastic ataxia of charlevoix-saguenay in a consanguineous family from the Arabian Peninsula:A case report and review of literature

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World Journal of Clinical Cases 2020年第8期8卷 1477-1488页

作者： Abdullah al-Ajmi Sarah Shamsah aleksandar Janicijevic Michayla Williams fahd al-Mulla neurology Unit Al-Jahra HospitalJahra City 13110Kuwait Faculty of allied Health Sciences Kuwait UniversityKuwait City 13110Kuwait Department of Radiology Al-Jahra HospitalJahra City 13110Kuwait Department of Genetics Genatak Center for Genomic MedicineKuwait City 12000Kuwait

BACKGROUnD Familial cases of autosomal recessive spastic ataxia of charlevoix-saguenay have not been reported in the Arabian Peninsula,although the consanguineous marriage rate is very *** report the first family from the Arabian Peninsula harboring a novel frameshift mutation in the SACS *** SUMMARY A 33-year-old man presented to our neurology clinic with balance problems and weakness of distal upper and lower *** was previously clinically diagnosed with Friedreich's ***,the severity of polyneuropathy and the electrodiagnostic studies(EDX)findings are atypical features of Friedreich’s ataxia,and the deterioration was attributed to diabetic *** examination of other family members identified cerebellar ataxia,lower-limb pyramidal signs,peripheral neuropathy,and magnetic resonance imaging findings characterized by pontine linear *** testing for Friedreich’s ataxia did not yield a *** exome sequencing identified a novel frameshift germline mutation in the SACS gene termed c.5824_5827delTACT using the transcript nM_014363.5,which is predicted to cause premature termination of the sacsin protein at amino acid position 1942(***1942Metfs*9)and disrupts the sacsin SRR3 and domains downstream from *** mutation segregated with the disease in the *** Our data add to the spectrum of mutations in the SACS gene and argues for a need to implement suitably integrated clinical and diagnostic services,including next generation sequencing technology,to better classify ataxia in this area of the world.

关键词： Ataxia Autosomal recessive spastic ataxia of charlevoix-saguenay Sacsin SACS mutation Arabia next generation sequencing Case report

The Villainous Moor： Eleazar in Dekker＇s Lust＇s Dominion （1600）

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Fudan Journal of the Humanities and Social Sciences 2017年第1期10卷 69-85页

作者： fahd Mohammed Taleb Saeed al-Olaqi Department of English and Translation University of Jeddah Jeddah Kingdom of Saudi Arabia

The article explores the disruptive social contexts and inter-racial rela- tionships in Thomas Dekker＇s Lust＇s Dominion （c.1599-1600） [Collier found out about its original performance date, which was in February 1600, and that it was first published in 1657 （Collier 1827, p. 264）] with focus on the Moorish Eleazar. The play is about race, lust, revenge and politics. The Elizabethan experienced a cultural blend and a fear of Africans and other foreigners. Like Dekker, Elizabethan dramatists imparted well-known contemporary prejudices and stereotypes on those of specific origin in Africa based solely on their dark skin. Elizabethan shows reinforced the image of the Moor as cruel, tyrannical and deceitful. The African Moors are portrayed to the Elizabethan expectations as being demi-devil, deceitful, lascivious, unpleasant, merciless egotist as soon as he appears. The depiction of the evil Moor contributes to Elizabethan superiority as an intrinsic right. Dekker illustrates the pervasive racism of Elizabethan Europe and the plain consequences of this institutionalized prejudice.

关键词： Moor · Black·Race - Lust · Lascivious · Evil · Spain - Revenge · Betray

Artificial intelligence Based Optimal Functional Link neural network for Financial Data Science

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Computers, Materials & Continua 2022年第3期70卷 6289-6304页

作者： Anwer Mustafa Hilal Hadeel alsolai fahd nal-wesa.i Mohammed Abdullah al-Hagery Manar Ahmed Hamza Mesfer al Duhayyim 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 UniversitySaudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia&Faculty of Computer and ITSana’a UniversitySana’aYemen Department of Computer Science College of ComputerQassim UniversitySaudi Arabia Department of natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia

in present digital era,data science techniques exploit artificial intelligence(Ai)techniques who start and run small and medium-sized enterprises(SMEs)to have an impact and develop their *** science integrates the conventions of econometrics with the technological elements of data *** make use of machine learning(ML),predictive and prescriptive analytics to effectively understand financial data and solve related *** technologies for SMEs enable allows the firm to get smarter with their processes and offers efficient *** the same time,it is needed to develop an effective tool which can assist small to medium sized enterprises to forecast business failure as well as financial *** becomes a familiar tool for several businesses due to the fact that it concentrates on the design of intelligent decision making tools to solve particular real time *** this motivation,this paper presents a new Ai based optimal functional link neural network(FLnn)based financial crisis prediction(FCP)model *** proposed model involves preprocessing,feature selection,classification,and parameter *** the initial stage,the financial data of the enterprises are collected and are preprocessed to enhance the quality of the ***,a novel chaotic grasshopper optimization.algorithm(CGOA)based feature selection technique is applied for the optimal selection of ***,functional link neural network(FLnn)model is employed for the classification of the feature reduced ***,the efficiency of theFLnnmodel can be improvised by the use of cat swarm optimizer(CSO)algorithm.A detailed experimen.al validation process takes place on Polish dataset to ensure the performance of the presented *** experimen.al studies demonstrated that the CGOA-FLnn-CSO model has accomplished maximum prediction accuracy of 98.830%,92.100%,and 95.220%on the applied Polish dataset Year i-iii respectively.

关键词： Data science small and medium-sized enterprises business sectors financial crisis prediction intelligent systems artificial intelligence decision making machine learning

Authenblue: A new Authentication Protocol for the industrial internet of Things

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Computers, Materials & Continua 2021年第4期67卷 1103-1119页

作者： Rachid Zagrouba Asayel alAbdullatif Kholood alAjaji norah al-Serhani fahd alhaidari Abdullah almuhaideb Atta-ur-Rahman Department of Computer information System College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Computer Science College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia

The internet of Things(ioT)is where almost anything can be controlled and managed remotely by means of *** the ioT evolution led to quality of life enhancement,many of its devices are *** lack of robust key management systems,efficient identity authentication,low fault tolerance,and many other issues lead to ioT devices being easily targeted by *** this paper we propose a new authentication protocol called Authenblue that improve the authentication process of ioT devices and Coordinators of Personal Area network(CPAns)in an industrial ioT(iioT)*** study proposed Authenblue protocol as a new Blockchainbased authentication *** enhance the authentication process and make it more secure,Authenblue modified the way of generating iioT identifiers and the shared secret keys used by the iioT devices to raise the efficiency of the authentication *** enhance the authentication protocol that other models rely on by enhancing the approach used to generate the User identifier(Ui).The Ui values changed from being static values,sensors MAC addresses,to be generated values in the inception *** approach makes the process of renewing the sensor keys more secure by renewing their Ui values instead of changing the secret *** this study,Authenblue has been simulated in the network Simulator 3(nS3).Simulation results show an improved performance compared to the related work.

关键词： Authentication industrial internet of things security Authenblue blockchain nS3