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Precision Chemistry 2023年第8期1卷 485-496页

作者： abdulaziz Abdullah Qasem Ali Zeba N.Siddiqui Green Chemistry Laboratory Organic Chemistry DivisionDepartment of ChemistryAligarh Muslim UniversityAligarhUttar Pradesh 202002India

In this work,we have reported the synthesis of a series of heterogeneous catalysts,viz.,[HMIm]_(3)[PW_(12)O_(40)]@MOF-Fe,[HMIm]_(3)[PMo_(12)O_(40)]@MOF-Fe,and[HMIm]_(4)[SiW_(12)O_(40)]@MOFFe,by a simple impregnation *** catalysts were characterized by several techniques,such as FTIR,EDX,XRD,SEM,elemental mapping,and *** these materials,[HMIm]_(3)[PW_(12)O_(40)]@MOF-Fe had more acidic sites(confirmed by potentiometric titration)and high stability around 598℃(confirmed by TGA).The catalytic prospect of the materials was examined through selective acetalization of glycerol to solketal as a fuel additive under solvent-free and room-temperature conditions.[HMIm]_(3)[PW_(12)O_(40)]@MOF-Fe exhibited the highest catalytic activity among the three catalysts in terms of glycerol conversion(100%),solketal selectivity(100%),and solketal yield(100%).A recyclability study of[HMIm]_(3)[PW_(12)O_(40)]@MOF-Fe showed that the material could be reused for up to 7 cycles with insignificant loss in its catalytic performance.

关键词： heteropoly ionic liquids [HMIm]_(3)[PW_(12)O_(40)]@MOF-Fe heterogeneous catalysis MOF-Fe selective acetalization glycerol solketal

Automatic Detection and Classification of Human Knee Osteoarthritis Using Convolutional Neural Networks

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Computers, Materials & Continua 2022年第3期70卷 4279-4291页

作者： Mohamed Yacin Sikkandar S.Sabarunisha Begum abdulaziz AAlkathiry Mashhor Shlwan NAlotaibi Md Dilsad Manzar Department of Medical Equipment Technology College of Applied Medical SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia Department of Chemical Engineering Sethu Institute of TechnologyKariapatti626115TamilnaduIndia Department of Physical Therapy College of Applied Medical SciencesMajmaah UniversityAlMajmaah11952Saudi Arabia Department of Nursing College of Applied Medical SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia

Knee Osteoarthritis(KOA)is a degenerative knee joint disease caused by‘wear and tear’of ligaments between the femur and tibial ***,KOA is classified into four grades ranging from 1 to 4 based on the degradation of the ligament in between these two bones and causes suffering from impaired *** this space between bones through the anterior view of a knee X-ray image is solely subjective and *** classification of this process helps in the selection of suitable treatment processes and customized knee *** this research,a new automatic classification of KOA images based on unsupervised local center of mass(LCM)segmentation method and deep Siamese Convolutional Neural Network(CNN)is ***-order statistics and the GLCM matrix are used to extract KOA anatomical Features from segmented *** network is trained on our clinical data with 75 iterations with automaticweight updates to improve its validation *** assessment performed on the LCM segmented KOA images shows that our network can efficiently detect knee osteoarthritis,achieving about 93.2%accuracy along with multi-class classification accuracy of 72.01%and quadratic weighted Kappa of 0.86.

关键词： Osteoarthritis segmentation intensity value unsupervised neural network

COVID-19 Pandemic Data Predict the Stock Market

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Computer Systems Science & Engineering 2021年第3期36卷 451-460页

作者： abdulaziz Almehmadi Faculty of Computing and Information Technology University of TabukTabukSaudi Arabia

Unlike the 2007–2008 market crash,which was caused by a banking failure and led to an economic recession,the 1918 inﬂuenza pandemic triggered a worldwideﬁnancial *** usually affect the global economy,and the COVID-19 pandemic is no *** stock markets have fallen over 40%,and companies are shutting down,ending contracts,and issuing volun-tary and involuntary leaves for thousands of *** economic effects have led to an increase in unemployment rates,crime,and *** pandemics’economic effects,especially on the stock market,has not been urgent or feasible until ***,with advances in artiﬁcial intelligence(AI)and the inter-connectivity that social media provides,such research has become *** this paper,we propose a COVID-19-based stock market prediction system(C19-SM2)that utilizes social *** AI system enables economists to study how COVID-19 pandemic data inﬂuence social media and,hence,the stock market.C19-SM2 gathers COVID-19 infection and death cases reported by the authorities and social media data from a geographic area and extracts the sentiments and events that occur in that *** information is then fed to the support vector machine(SVM)and random forest and random tree classiﬁers along with current stock market ***,the system produces a projection of the stock market’s movement during the next *** tested the system with the Dow Jones Industrial Average(DJI)and the Tadawul All Share Index(TASI).Our system achieved a stock market prediction accuracy of 99.71%,substantially higher than the 89.93%accuracy reported in the related literature;the inclusion of COVID-19 data improved accuracy by 9.78%.

关键词： COVID-19 economic impact artiﬁcial intelligence sentiment analysis stock market

Dynamic channel estimation-aware routing protocol in mobile cognitive radio networks for smart IIoT applications

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Digital Communications and Networks 2023年第2期9卷 367-382页

作者： Qusay M.Salih Md Arafatur Rahman A.Taufiq Asyhari Muhammad Kamran Naeem Mohammad Patwary Ryan Alturki Mohammed abdulaziz Ikram Faculty of Computing Universiti Malaysia Pahang26300GambangPahangMalaysia School of Engineering Computing and Mathematical SciencesUniversity of WolverhamptonUK Data Science Program Monash UniversityIndonesiaand Birmingham City UniversityB47XGUK Department of Information Science College of Computer and Information SystemsUmm Al-Qura UniversitySaudi Arabia Computer Science Department Al Jumoum University CollegeUmm Al-Qura UniversitySaudi Arabia

Cognitive Radio Networks(CRNs)have become a successful platform in recent years for a diverse range of future systems,in particularly,industrial internet of things(IIoT)*** order to provide an efficient connection among IIoT devices,CRNs enhance spectrum utilization by using licensed ***,the routing protocol in these networks is considered one of the main problems due to node mobility and time-variant channel ***,the channel selection for routing protocol is indispensable in CRNs to provide an adequate adaptation to the Primary User(PU)activity and create a robust routing *** study aims to construct a robust routing path by minimizing PU interference and routing delay to maximize throughput within the IIoT ***,a generic routing framework from a cross-layer perspective is investigated that intends to share the information resources by exploiting a recently proposed method,namely,Channel Availability ***,a novel cross-layer-oriented routing protocol is proposed by using a time-variant channel estimation *** protocol combines lower layer(Physical layer and Data Link layer)sensing that is derived from the channel estimation ***,it periodically updates and stores the routing table for optimal route ***,in order to achieve higher throughput and lower delay,a new routing metric is *** evaluate the performance of the proposed protocol,network simulations have been conducted and also compared to the widely used routing protocols,as a *** simulation results of different routing scenarios demonstrate that our proposed solution outperforms the existing protocols in terms of the standard network performance metrics involving packet delivery ratio(with an improved margin of around 5–20%approximately)under varying numbers of PUs and cognitive users in Mobile Cognitive Radio Networks(MCRNs).Moreover,the cross-layer routing protocol successfully achiev

关键词： Channel selection Cross-layer design Mobile cognitive radio networks Routing protocol IIoT applications

Impact of COVID-19 on G20 countries:analysis of economic recession using data mining approaches

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Financial Innovation 2022年第1期8卷 2208-2237页

作者： Osman Taylan abdulaziz S.Alkabaa Mustafa Tahsin Yılmaz Department of Industrial Engineering Faculty of EngineeringKing Abdulaziz UniversityP.O.Box 80204Jeddah 21589Saudi Arabia

The G20 countries are the locomotives of economic growth,representing 64%of the global population and including 4.7 billion *** a monetary and market value index,real gross domestic product(GDP)is affected by several factors and reflects the economic development of *** study aimed to reveal the hidden economic patterns of G20 countries,study the complexity of related economic factors,and analyze the economic reactions taken by policymakers during the coronavirus disease of 2019(COVID-19)pandemic recession(2019–2020).In this respect,this study employed data-mining techniques of nonparametric classification tree and hierarchical clustering approaches to consider factors such as GDP/capita,industrial production,government spending,COVID-19 cases/population,patient recovery,COVID-19 death cases,number of hospital beds/1000 people,and percentage of the vaccinated population to identify clusters for G20 *** clustering approach can help policymakers measure economic indices in terms of the factors considered to identify the specific focus of influences on economic *** results exhibited significant findings for the economic effects of the COVID-19 pandemic on G20 countries,splitting them into three clusters by sharing different measurements and patterns(harmonies and variances across G20 countries).A comprehensive statistical analysis was performed to analyze endogenous and exogenous ***,the classification and regression tree method was applied to predict the associations between the response and independent factors to split the G-20 countries into different groups and analyze the economic *** such as GDP per capita and patient recovery of COVID-19 cases with values of$12,012 and 82.8%,respectively,were the most significant factors for clustering the G20 countries,with a correlation coefficient(R2)of 91.8%.The results and findings offer some crucial recommendations to handle pandemics in terms of the

关键词： Hierarchical clustering CART Economic recession Data mining COVID-19 G20 countries

Choroidal thickness measurements in young Saudi adult population: a cross-sectional study

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International Journal of Ophthalmology(English edition) 2023年第11期16卷 1814-1819页

作者： Mohammed M Althomali Ahmed A Alharbi Nouf M Albnayan abdulaziz M Alkhudhair Muteb K Alanazi Optometry Department College of Applied Medical SciencesKing Saud UniversityRiyadh 11362Saudi Arabia

AIM:To determine the choroidal thickness(CT)in young healthy Saudi adults using spectral-domain optical coherence tomography(SD-OCT)with an automated CT segmentation ***:Fifty-eight young adults(total of 116 eyes),39 males and 19 females participated in this study between the ages of 18 and 38y(mean 22.65±3.9y).All participants underwent ophthalmic screening examination,including the SD-OCT for measurements of CT in each quadrant egmented into five eccentric regions starting from the foveal region up to 4.5 mm towards the ***:The choroid was thickest in the foveal region(central 1 mm,300±60μm)and began to progressively thinner beyond the parafovea(1.5–2.5 mm,284±67μm)towards the peripheral region(3.5–4.5 mm from the fovea,254±83μm).The superior choroid showed the thickest profile(309±57μm),while the nasal choroid exhibited the thinnest(229±76μm).The rate of the thinning with increasing eccentricity was more predominant in the nasal choroid,which thinned from the foveal region(294±58μm)to the peripheral region(158±55μm).The superior and inferior choroid did not show a statistically significant thinning with eccentricity(all P>0.05).There was no statistically significant difference in the CT between gender,age,and laterality of the eyes(all P>0.05).A significant association of myopia with thinner subfoveal choroid was observed(Pearson’s,r=0.37),and regression analysis showed that a 10.3μm choroidal thinning for each diopter increase of ***:CT profile depends on eccentric and the *** CT profile across the measured area in the young Saudi adult population is comparable to other previous *** error is critical for CT evaluation.

关键词： choroidal thickness optical coherence tomography young adults Saudi population

An Intelligent Approach for Intrusion Detection in Industrial Control System

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Computers, Materials & Continua 2023年第11期77卷 2049-2078页

作者： Adel Alkhalil abdulaziz Aljaloud Diaa Uliyan Mohammed Altameemi Magdy Abdelrhman Yaser Altameemi Aakash Ahmad Romany Fouad Mansour Department of Information and Computer Science College of Computer Science and EngineeringUniversity of Ha’ilHa’il81481Saudi Arabia Applied College University of Ha’ilHa’il81481Saudi Arabia College of Education New Valley UniversityEl-Kharga72511Egypt College of Art University of Ha’ilHa’il81481Saudi Arabia School of Computing and Communications Lancaster UniversityLeipzig04109Germany College of Science New Valley UniversityEl-Kharga72511Egypt

Supervisory control and data acquisition(SCADA)systems are computer systems that gather and analyze real-time data,distributed control systems are specially designed automated control system that consists of geographically distributed control elements,and other smaller control systems such as programmable logic controllers are industrial solid-state computers that monitor inputs and outputs and make logic-based *** recent years,there has been a lot of focus on the security of industrial control *** to the advancement in information technologies,the risk of cyberattacks on industrial control system has been drastically *** they are so inextricably tied to human life,any damage to them might have devastating *** provide an efficient solution to such problems,this paper proposes a new approach to intrusion ***,the important features in the dataset are determined by the difference between the distribution of unlabeled and positive data which is deployed for the learning ***,a prior estimation of the class is proposed based on a support vector *** results show that the proposed approach has better anomaly detection performance than existing algorithms.

关键词： Industrial control system anomaly detection intrusion detection system protection

Minimizing Buoyancy Factor of Metallic Pressure-Hull Subjected to Hydrostatic Pressure

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Intelligent Automation & Soft Computing 2023年第1期35卷 769-793页

作者： Mahmoud Helal Elsayed Fathallah abdulaziz H Alghtani Hussein Shawki Osman Jong Wan Hu Hasan Eleashy Department of Mechanical Engineering Faculty of EngineeringTaif UniversityTaif 21944Saudi Arabia Production and Mechanical Design Department Faculty of EngineeringMansoura UniversityMansoura 35516Egypt Civil Engineering Department M.T.C.Kobry ElkobbaCairo 11865Egypt Ships and Submarines Engineering Department Military Technical CollegeCairo 11865Egypt Civil Engineering Department Sohag UniversitySohag 82524Egypt Department of Civil and Environmental Engineering Incheon National UniversityIncheon 22012Korea Incheon Disaster Prevention Research Center Incheon National UniversityIncheon 22012Korea Mechanical Engineering Department Faculty of Engineering&TechnologyFuture University in EgyptCairo 11835Egypt

To increase the payload,reduce energy consumption,improve work efficiency and therefore must accordingly reduce the total hull weight of the *** paper introduces a design optimization process for the pressurehull of submarines under uniform external hydrostatic pressure using bothfinite element analysis(FEA)and optimization tools.A comprehensive study about the optimum design of the pressure hull,to minimize the weight and increase the volume,to reach minimum buoyancy factor and maximum operating depth minimizing the buoyancy factor(B.F)is taken as an objective function with constraints of plate and frame yielding,general instability and *** optimization process contains many design variables such as pressure-hull plate thickness,unsupported spacing,dimensions of long and ring beams andfinally the elliptical submersible pressure-hull *** optimization process was conducted using ANSYS parametric design language(APDL)and *** Multi-Island Genetic Algorithm(G.A)is considered to conduct the optimization ***,parametric analysis is done on the pressure hull to examine the effect of different design variables on the pressure-hull *** a result,the B.F of the proposed optimal model is reduced by an average of 31.78%compared with Reference Model(RM).Maximum von Mises stress is reduced by 27%as *** results can be helpful for submarine pressure-hull designers.

关键词： Buoyancy factor pressure-hull material failure ANSYS ISIGHT general instability

Experimental and numerical analysis on suitability of S-Glass-Carbon fiber reinforced polymer composites for submarine hull

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Defence Technology（防务技术） 2023年第1期19卷 1-11页

作者： Elango Natarajan Lídio Inacio Freitas M.S.Santhosh Kalaimani Markandan Ammar abdulaziz Majeed Al-Talib C.S.Hassan Faculty of Engineering Technology and Built EnvironmentUCSI UniversityKuala LumpurMalaysia Dili Institute of Technology DiliTimor-Leste Selvam Composite Materials Research Laboratory Department of Mechanical EngineeringSelvam College of TechnologyTamil NaduIndia

Suitability of S-Glass/carbon fiber reinforced polymer composite for submarine hull subjected to hydrostatic pressure has been investigated in the present *** materials have raised concerns owing to their decomposition due to low resistance towards salinity and hence polymer composites have been explored to showcase their mechanical stability to withstand transverse and impact *** this end,the mechanical properties of S-Glass/carbon fiber reinforced polymer composite were experimentally investigated and higher specific strength and stiffness of the composite in comparison to many metallic materials used for submarine hull were *** obtained experimental values were used for the static and dynamic crash analysis of the bow,stern and foil through Finite Element Analysis(FEA);where depth of travel was varied from sea surface level of 0-7000 *** assembly was later developed with the optimum shape and thickness of each *** also report the nonlinear crash analysis upon impact at velocity ranging from 3 to 21 m/***,kinetic energy,acceleration peak and internal energy in struck submarine revealed that travel depth 1750 m and 3500 m is recommendable,more particularly,crash safety factor of the submarine is found to be within limit when submarine encounters crash at 1750 m.

关键词： Crash Impact Design Submarine Hull Bow Stern Foil

Developing an Abstraction Framework for Managing and Controlling Saudi Banks’ Cybersecurity Threats Based on the NIST Cybersecurity Framework and ISO/IEC 27001

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Journal of Software Engineering and Applications 2023年第12期16卷 695-713页

作者： abdulaziz Saleh Alraddadi College of Computer Science and Engineering Taibah University Yanbu Kingdom of Saudi Arabia

Saudi Arabian banks are deeply concerned about how to effectively monitor and control security threats. In recent years, the country has taken several steps towards restructuring its organizational security and, consequently, protecting financial institutions and their clients. However, there are still several challenges left to be addressed. Accordingly, this article aims to address this problem by proposing an abstract framework based on the National Institute of Standards and Technology (NIST) Cybersecurity Framework and International Organization for Standardization/International Electrotechnical Commission (ISO/IEC 27001). The framework proposed in this paper considers the following factors involved in the security policy of Saudi banks: safety, Saudi information bank, operations and security of Saudi banks, Saudi banks’ supplier relationships, risk assessment, risk mitigation, monitoring and detection, incident response, Saudi banks’ business continuity, compliance, education, and awareness about all factors contributing to the framework implementation. This way, the proposed framework provides a comprehensive, unified approach to managing bank security threats. Not only does the proposed framework provide effective guidance on how to identify, assess, and mitigate security threats, but it also instructs how to develop policy and procedure documents relating to security issues.

关键词： Cybersecurity Threats NIST Cybersecurity Framework ISO/IEC 27001 Saudi Banks Design Science Research