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Accurate Phase Detection for ZigBee Using Artificial Neural Network

Intelligent Automation & Soft Computing 2023年第6期36卷 2505-2518页

作者： Ali Alqahtani abdulaziz a.alsulami Saeed Alahmari Mesfer Alrizq Department of Networks and Communications Engineering College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Information Systems College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia

The IEEE802.15.4 standard has been widely used in modern industry due to its several benefits for stability,scalability,and enhancement of wireless mesh *** standard uses a physical layer of binary phase-shift keying(BPSK)modulation and can be operated with two frequency bands,868 and 915 *** frequency noise could interfere with the BPSK signal,which causes distortion to the signal before its arrival at ***,filtering the BPSK signal from noise is essential to ensure carrying the signal from the sen-der to the receiver with less ***,removing signal noise in the BPSK signal is necessary to mitigate its negative sequences and increase its capability in industrial wireless sensor ***,researchers have reported a posi-tive impact of utilizing the Kalmen filter in detecting the modulated signal at the receiver side in different communication systems,including ***-while,artificial neural network(ANN)and machine learning(ML)models outper-formed results for predicting signals for detection and classification *** paper develops a neural network predictive detection method to enhance the performance of BPSK ***,a simulation-based model is used to generate the modulated signal of BPSK in the IEEE802.15.4 wireless personal area network(WPAN)***,Gaussian noise was injected into the BPSK simulation *** reduce the noise of BPSK phase signals,a recurrent neural networks(RNN)model is implemented and integrated at the receiver side to esti-mate the BPSK’s phase *** evaluated our predictive-detection RNN model using mean square error(MSE),correlation coefficient,recall,and F1-score *** result shows that our predictive-detection method is superior to the existing model due to the low MSE and correlation coefficient(R-value)metric for different signal-to-noise(SNR)*** addition,our RNN-based model scored 98.71%and 96.34%based on recall and F1-score,respectively.

关键词： Neural networks RNN BPSK phasedetection WPAN IEEE802.15.4 signal demodulation

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Priority Detector and Classifier Techniques Based on ML for the IoMT

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Computers, Materials & Continua 2023年第8期76卷 1853-1870页

作者： Rayan A.Alsemmeari Mohamed Yehia Dahab Badraddin Alturki abdulaziz a.alsulami Department of Information Technology Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia

Emerging telemedicine trends,such as the Internet of Medical Things(IoMT),facilitate regular and efficient interactions between medical devices and computing *** importance of IoMT comes from the need to continuously monitor patients’health conditions in real-time during normal daily activities,which is realized with the help of various wearable devices and *** major health problem is workplace stress,which can lead to cardiovascular disease or psychiatric ***,real-time monitoring of employees’stress in the workplace is *** levels and the source of stress could be detected early in the fog layer so that the negative consequences can be mitigated ***,overwhelming the fog layer with extensive data will increase the load on fog nodes,leading to computational *** study aims to reduce fog computation by proposing machine learning(ML)models with two *** first phase of theMLmodel assesses the priority of the situation based on the stress *** the second phase,a classifier determines the cause of stress,which was either interruptions or time pressure while completing a *** approach reduced the computation cost for the fog node,as only high-priority records were transferred to the ***-priority records were forwarded to the *** MLapproaches were compared in terms of accuracy and prediction speed:Knearest neighbors(KNN),a support vector machine(SVM),a bagged tree(BT),and an artificial neural network(ANN).In our experiments,ANN performed best in both phases because it scored an F1 score of 99.97% and had the highest prediction speed compared with KNN,SVM,and BT.

关键词： Machine learning priority detector Internet of Medical Things IoMT fog computing cloud computing

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A comprehensive survey of cyberattacks on EVs: Research domains,attacks, defensive mechanisms, and verification methods

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Defence Technology（防务技术） 2024年第12期42卷 31-58页

作者： Tawfiq Aljohani abdulaziz Almutairi Department of Electrical Engineering College of Engineering at YanbuTaibah UniversityYanbu41911Saudi Arabia Department of Electrical Engineering College of EngineeringMajmaah UniversityAlmajmaah11952Saudi Arabia

With the continuous development of transportation electrification,the cybersecurity of energy infrastructure has become increasingly ***,EVs resemble a significant tool to carryout cyberattacks since EVs are not only seen as dynamic loads but also as mobile energy sources that establish two-way communications with several players in the *** taxonomy aims to provide a comprehensive overview of cyberattacks against EVs from four distinct *** first is the research domains of EVs application,which investigates the different fields of research related to the development and application of EVs and how they are susceptible to cyber *** second is the CIAbased attacks,which examines the threats to the confidentiality,integrity,and availability of EVs'sensitive information and critical *** third taxonomy discusses the countermeasures and defensive mechanisms to secure the EVs against cyberattacks,including preventive measures,detection algorithms,response strategy,and recovery *** fourth taxonomy is the verification and validation methodologies,which explores the software tools and hardware testbeds used to test and evaluate the security of EVs against cyber ***,this taxonomy presents an understanding of the current state of cyberattacks against EVs and serves as a valuable resource for researchers and practitioners in the fields of cybersecurity and electric mobility.

关键词： Cybersecurity Electric vehicles Charging stations Cybersecurity of energy systems Cyberattacks

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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

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探索CD164:从疾病标志物到治疗新策略

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现代肿瘤医学 2025年第1期 102-108页

作者：吴薇魏金枫徐辉 abdulaziz 孙逊陈天浩邱洪斌佳木斯大学公共卫生学院佳木斯大学基础医学院

近年来，有许多动物实验及临床研究表明CD164在多种疾病中表达异常，该文系统地综述了最新研究成果，发现CD164在不同疾病中均呈现出独特的表达模式，尤其在肿瘤、免疫系统疾病、人畜共患病及其他多种疾病中扮演着关键角色。深入分析这... 详细信息

近年来，有许多动物实验及临床研究表明CD164在多种疾病中表达异常，该文系统地综述了最新研究成果，发现CD164在不同疾病中均呈现出独特的表达模式，尤其在肿瘤、免疫系统疾病、人畜共患病及其他多种疾病中扮演着关键角色。深入分析这些研究发现，CD164不仅与各疾病的发生和发展密切相关，更可能成为未来疾病诊断与治疗的新靶点。进一步探讨CD164的功能和调控机制，将有望为疾病的早期诊断、精准治疗提供新的思路和方法，进而推动其在临床实践中的应用，为患者的健康带来更大的利益。

关键词： CD164 肿瘤免疫系统疾病人畜共患病新靶点

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Explainable Software Fault Localization Model: From Blackbox to Whitebox

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Computers, Materials & Continua 2022年第10期73卷 1463-1482页

作者： abdulaziz Alhumam Department of Computer Science College of Computer Sciences and Information TechnologyKing Faisal UniversityAl-Ahsa31982Saudi Arabia

The most resource-intensive and laborious part of debugging is finding the exact location of the fault from the more significant number of code *** of machine intelligence models has offered the effective localization of *** models can precisely locate the faulty with more than 95%accuracy,resulting in demand for trustworthy models in fault *** and trustworthiness within machine intelligencebased software models can only be achieved via explainable artificial intelligence in Fault Localization(XFL).The current study presents a model for generating counterfactual interpretations for the fault localization model’s *** system approximations and disseminated presentation of input information may be achieved by building a nonlinear neural network *** demonstrates a high level of proficiency in transfer learning,even with minimal training *** proposed XFL would make the decisionmaking transparent simultaneously without impacting the model’s *** proposed XFL ranks the software program statements based on the possible vulnerability score approximated from the training *** model’s performance is further evaluated using various metrics like the number of assessed statements,confidence level of fault localization,and TopN evaluation strategies.

关键词： Software fault localization explainable artificial intelligence statement ranking vulnerability detection

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Oscillatory flow of second grade fluid in cylindrical tube

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Applied Mathematics and Mechanics(English Edition) 2013年第9期34卷 1097-1106页

作者： A.ALI S.ASGHAR H.H.alsulami Laboratoire Jean Alexandre Dieudonne Universite de Nice Sophia Antipolis Department of Mathematics Commission on Science and Technology for Sustainable Development in the SouthInstitute of Information Technology Department of Mathematics King Abdulaziz University

The unsteady oscillatory flow of an incompressible second grade fluid in a cylindrical tube with large wall suction is studied analytically. Flow in the tube is due to uniform suction at the permeable walls, and the oscillations in the velocity field are due to small amplitude time harmonic pressure waves. The physical quantities of interest are the velocity field, the amplitude of oscillation, and the penetration depth of the oscillatory wave. The analytical solution of the governing boundary value problem is obtained, and the effects of second grade fluid parameters are analyzed and discussed.

关键词： second grade fluid cylindrical coordinate oscillatory flow incompressible flow laminar flow Navier-Stokes equation partial differential equation Wentzel- Kramers-Brillouin (WKB) approximation

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Solving Fractional Differential Equations via Fixed Points of Chatterjea Maps

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Computer Modeling in Engineering & Sciences 2023年第6期135卷 2617-2648页

作者： Nawab Hussain Saud M.alsulami Hind Alamri Department of Mathematics King Abdulaziz UniversityP.O.Box 80203Jeddah21589Saudi Arabia Department of Mathematics College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

In this paper,we present the existence and uniqueness of fixed points and common fixed points for Reich and Chatterjea pairs of self-maps in complete metric ***,we study fixed point theorems for Reich and Chatterjea nonexpansive mappings in a Banach space using the Krasnoselskii-Ishikawa iteration method associated withSλand consider some applications of our results to prove the existence of solutions for nonlinear integral and nonlinear fractional differential *** also establish certain interesting examples to illustrate the usability of our results.

关键词： Common fixed points Reich and Chatterjea mappings Krasnoselskii-Ishikawa iteration complete metric space Banach space integral equation nonlinear fractional differential equation

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Edge-Cloud Computing for Scheduling the Energy Consumption in Smart Grid

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Computer Systems Science & Engineering 2023年第7期46卷 273-286页

作者： abdulaziz Alorf Department of Electrical Engineering College of EngineeringQassim UniversityBuraydah52571Saudi Arabia

Nowadays,smart electricity grids are managed through advanced tools and *** advent of Artificial Intelligence(AI)and network technology helps to control the energy *** advanced technologies can resolve common issues such as blackouts,optimal energy generation costs,and peakhours *** this paper,the residential energy demand has been investigated and optimized to enhance the Quality of Service(QoS)to *** energy consumption is distributed throughout the day to fulfill the demand in peak ***,an Edge-Cloud computing-based model is proposed to schedule the energy demand with reward-based energy *** model gives priority to consumer preferences while planning the operation of appliances.A distributed system using non-cooperative game theory has been designed to minimize the communication overhead between the edge ***,the allotment mechanism has been designed to manage the grid appliances through the edge *** proposed model helps to improve the latency in the grid appliances scheduling process.

关键词： Edge-cloud computing smart grid smart home energy scheduling non-cooperative game theory

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Peristaltic flow of Johnson-Segalman fluid in asymmetric channel with convective boundary conditions

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Applied Mathematics and Mechanics(English Edition) 2014年第6期35卷 697-716页

作者： H.YASMIN T.HAYAT A.ALSAEDI H.H.alsulami Department of Mathematics Quaid-i-Azam University Nonlinear Analysis and Applied Mathematics (NAAM) Research Group Faculty of Science King Abdulaziz University

This work is concerned with the peristaltic transport of the Johnson-Segalman fluid in an asymmetric channel with convective boundary conditions. The mathematical modeling is based upon the conservation laws of mass, linear momentum, and energy. The resulting equations are solved after long wavelength and low Reynolds number are used. The results for the axial pressure gradient, velocity, and temperature profiles are obtained for small Weissenberg number. The expressions of the pressure gra-dient, velocity, and temperature are analyzed for various embedded parameters. Pumping and trapping phenomena are also explored.

关键词： asymmetric channel convective condition pumping and trapping Johnson-Segalman fluid

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