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Potential Benefits and Obstacles of the Use of Internet of Things in Saudi Universities: Empirical Study

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Advances in Internet of Things 2024年第1期14卷 1-20页

作者： Najmah Adel Fallatah fahad Mahmoud Ghabban Omair Ameerbakhsh ibrahim Alfadli Wael Ghazy Alheadary Salem Sulaiman Alatawi Ashwaq Hasen Al-Shehri College of Computer Science and Engineering Taibah University Madinah Saudi Arabia Ministry of Education in Al-Madinah Al-Munawwarah Region Madinah Saudi Arabia

Internet of Things (IoT) among of all the technology revolutions has been considered the next evolution of the internet. IoT has become a far more popular area in the computing world. IoT combined a huge number of things (devices) that can be connected through the internet. The purpose: this paper aims to explore the concept of the Internet of Things (IoT) generally and outline the main definitions of IoT. The paper also aims to examine and discuss the obstacles and potential benefits of IoT in Saudi universities. Methodology: the researchers reviewed the previous literature and focused on several databases to use the recent studies and research related to the IoT. Then, the researchers also used quantitative methodology to examine the factors affecting the obstacles and potential benefits of IoT. The data were collected by using a questionnaire distributed online among academic staff and a total of 150 participants completed the survey. Finding: the result of this study reveals there are twelve factors that affect the potential benefits of using IoT such as reducing human errors, increasing business income and worker’s productivity. It also shows the eighteen factors which affect obstacles the IoT use, for example sensors’ cost, data privacy, and data security. These factors have the most influence on using IoT in Saudi universities.

关键词： Internet of Things (IoT) M2M Factors Obstacles Potential Benefits Universities

Determination of gamma-ray parameters for polyethylene glycol of different molecular weights

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Nuclear Science and Techniques 2017年第11期28卷 180-187页

作者： ibrahim F. Al-Hamarneh Mohammad W. Marashdeh fahad I. Almasoud Ahmad Alkaoud Department of Physics Faculty of Science Al-Balqa Applied University Al-Salt 19117 Jordan Department of Physics College of Science Al Imam Mohammad Ibn Saud Islamic University (IMSIU)Riyadh 11623 Saudi Arabia Nuclear Science Research Institute King Abdulaziz City for Science and Technology (KACST) Riyadh 11442 Saudi Arabia National Centre for Nuclear Technology (NCNT) King Abdulaziz City for Science and Technology (KACST)Riyadh 11442 Saudi Arabia

Mass attenuation coefficient(μ_m) for polyethylene glycol(PEG) of different molecular weights was determined by using Nai(Tl) scintillator and Win Xcom mixture rule at gamma energies of 59.5, 302.9, 356.0, 661.7, 1173.2 and 1332.5 keV. The total atomic, molecular and electronic cross sections, half-value layer, effective atomic and electron numbers, mass energy-absorption coefficients and kerma relative to air are calculated. The energy and compositional dependence of μ_m values, and the related radiation absorption parameters, are evaluated and discussed. The experimental results agree well with the theoretical ones, within an uncertainty of 1% in the effective atomic number for all PEG samples at the designated energies.

关键词： Polyethylene glycol Mass attenuation coefficient Effective atomic number Electron density Kerma relative to air

Classification of Electrocardiogram Signals for Arrhythmia Detection Using Convolutional Neural Network

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Computers, Materials & Continua 2023年第12期77卷 3817-3834页

作者： Muhammad Aleem Raza Muhammad Anwar Kashif Nisar Ag.Asri Ag.ibrahim Usman Ahmed Raza Sadiq Ali Khan fahad Ahmad Department of Computer Science and IT Lahore Lead UniversityLahore54000Pakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahore54000Pakistan Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota KinabaluSabah88400Malaysia Computer Science Department UBIT Karachi UniversityKarachi75270Pakistan Department of Basic Sciences Deanship of Common First YearJouf UniversitySakakaAljouf72341Saudi Arabia

With the help of computer-aided diagnostic systems,cardiovascular diseases can be identified timely manner to minimize the mortality rate of patients suffering from cardiac ***,the early diagnosis of cardiac arrhythmia is one of the most challenging *** manual analysis of electrocardiogram(ECG)data with the help of the Holter monitor is ***,the Convolutional Neural Network(CNN)is receiving considerable attention from researchers for automatically identifying ECG *** paper proposes a 9-layer-based CNN model to classify the ECG signals into five primary categories according to the American National Standards Institute(ANSI)standards and the Association for the Advancement of Medical Instruments(AAMI).The Massachusetts Institute of Technology-Beth Israel Hospital(MIT-BIH)arrhythmia dataset is used for the *** proposed model outperformed the previous model in terms of accuracy and achieved a sensitivity of 99.0%and a positivity predictively 99.2%in the detection of a Ventricular Ectopic Beat(VEB).Moreover,it also gained a sensitivity of 99.0%and positivity predictively of 99.2%for the detection of a supraventricular ectopic beat(SVEB).The overall accuracy of the proposed model is 99.68%.

关键词： Arrhythmia ECG signal deep learning convolutional neural network physioNet MIT-BIH arrhythmia database

An Enhanced Particle Swarm Optimization for ITC2021 Sports Timetabling

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Computers, Materials & Continua 2022年第7期72卷 1995-2014页

作者： Mutasem K.Alsmadi Ghaith M.Jaradat Malek Alzaqebah ibrahim A.Lmarashdeh fahad A.Alghamdi Rami Mustafa A.Mohammad Nahier Aldhafferi Abdullah Alqahtani Department of MIS College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Department of Computer Science Faculty of Computer Science and InformaticsAmman Arab UniversityAmmanJordan Department of Mathematics College of ScienceImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Basic and Applied Scientific Research CenterImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Computer Information Systems Department College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia

Timetabling problem is among the most difficult operational tasks and is an important step in raising industrial productivity,capability,and *** tasks are usually tackled using metaheuristics techniques that provide an intelligent way of suggesting solutions or *** intelligence techniques including Particle Swarm Optimization(PSO)have proved to be effective *** recent experiments showed that the PSO algorithm is reliable for timetabling in many applications such as educational and personnel timetabling,machine scheduling,***,having an optimal solution is extremely challenging but having a sub-optimal solution using heuristics or metaheuristics is *** research paper seeks the enhancement of the PSO algorithm for an efficient timetabling *** algorithm aims at generating a feasible timetable within a reasonable *** enhanced version is a hybrid dynamic adaptive PSO algorithm that is tested on a round-robin tournament known as ITC2021 which is dedicated to sports *** competition includes several soft and hard constraints to be satisfied in order to build a feasible or sub-optimal *** consists of three categories of complexities,namely early,test,and middle *** showed that the proposed dynamic adaptive PSO has obtained feasible timetables for almost all of the *** feasibility is measured by minimizing the violation of hard constraints to *** performance of the dynamic adaptive PSO is evaluated by the consumed computational time to produce a solution of feasible timetable,consistency,and *** dynamic adaptive PSO showed a robust and consistent performance in producing a diversity of timetables in a reasonable computational time.

关键词： Sports timetabling particle swarm optimization ITC2021 roundrobin tournament dynamic adaptive

New Decision-Making Technique Based on Hurwicz Criteria for Fuzzy Ranking

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Computers, Materials & Continua 2022年第12期73卷 4595-4609页

作者： Deepak Sukheja Javaid Ahmad Shah G.Madhu K.Sandeep Kautish fahad A.Alghamdi ibrahim.S.Yahia El-Sayed M.El-Kenawy Ali Wagdy Mohamed Department of Computer Science and Engineering VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadIndia Department of Mathematics Dr.APJ Abdul Kalam University Indore(M.P)India Department of Information Technology VNR Vignana Jyothi Institute of Engineering and TechnologyHyderabadIndia LBEF Campus Kathmandu44600Nepal Department of Management Information Systems College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityDammamSaudi Arabia Laboratory of Nano-Smart Materials for Science and Technology(LNSMST) Department of PhysicsFaculty of ScienceKing Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Research Center for Advanced Materials Science(RCAMS) King Khalid UniversityP.O.Box 9004Abha 61413Saudi Arabia Nanoscience Laboratory for Environmental and Biomedical Applications(NLEBA) Semiconductor Lab.Department of PhysicsFaculty of EducationAin Shams UniversityRoxyCairo 11757Egypt Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt Department of Mathematics and Actuarial Science School of Sciences Engineering The American University in CairoEgypt

Efficient decision-making remains an open challenge in the research community,and many researchers are working to improve accuracy through the use of various computational *** this case,the fuzzification and defuzzification processes can be very *** is an effective process to get a single number from the output of a fuzzy *** defuzzification as a center point of this research paper,to analyze and understand the effect of different types of vehicles according to their *** this paper,the multi-criteria decision-making(MCDM)process under uncertainty and defuzzification is discussed by using the center of the area(COA)or ***,to find the best solution,Hurwicz criteria are used on the defuzzified ***-making technique is proposed using Hurwicz criteria for triangular and trapezoidal fuzzy *** proposed technique considers all types of decision makers’perspectives such as optimistic,neutral,and pessimistic which is crucial in solving decisionmaking problems.A simple case study is used to demonstrate and discuss the Centroid Method and Hurwicz Criteria for measuring risk attitudes among *** significance of the proposed defuzzification method is demonstrated by comparing it to previous defuzzification procedures with its application.

关键词： Defuzzification decision-making fuzzy numbers Hurwicz multicriteria decision-making ranking order

Prevalence of Canine Impaction among Saudi Population at Al Qassim Area in the Kingdom of Saudi Arabia

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Open Journal of Clinical Diagnostics 2020年第4期10卷 115-123页

作者： Sumayah fahad Alhumaid Zainab Wajih Aljishi Fathma fahad Alribdi Hessah Khaled Aldhubaiy Abeer ibrahim AlGhfaili Al-Habib Polyclinic Buraydah Al Qassim KSA Qassim Regional Dental Center Buraydah Al Qassim KSA Buraydah Dental Clinics Buraydah Al Qassim KSA

Background: One of the most reported dental problems is a tooth impaction which is defined as the infraosseous position of the tooth after the estimated time of eruption [1]. Thus, the most notable tooth impaction is canine impaction which is a frequently encountered clinical problem. aim: This study aimed to determine the prevalence of impacted canines among Saudi people from the 5-year period of 2013-2018 in Al Qassim area in the KSA. Methodology: A retrospective research designed was utilized in the study. A retrospective study simply means to “look back” in the past and usually done by obtaining data from medical records of the targeted population with common characteristics [2]. Results: This 5-year study covered year 2013 to 2018. In this study, there were 1500 who seek dental health in King Fahd Specialist Hospital. Thus, out of these clients, only 89 were identified with cases of impacted canine using the OPG with a prevalence rate of 5.9 %. In addition, it was found that out of 89 patients identified, the patients have impacted canines in different locations: maxillary, mandible, right side and left side. It was found that there were 187 impacted teeth in different locations among 89 clients affected. There were 48 cases (25.7%) of impacted canines on the right side while 64 cases (34.2%) were reported on the left side of the total group. Moreover, impacted maxillary canine were 68 cases (36.4%) and mandibular impacted canine were only 7 cases (3.7%) of the total group. Conclusion: The early detection and treatment approach of impacted canines among affected individuals is vital in order to prevent different problems that may arise during impaction of canine teeth. Awareness, early detection, proper diagnostic test and multiple treatment approaches are needed to prevent different sequelae due to canine impaction.

关键词： Canine Impaction Dental Health Maxillary and Mandibular

Current Trends in Online Programming Languages Learning Tools: A Systematic Literature Review

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Journal of Software Engineering and Applications 2021年第7期14卷 277-297页

作者： Ahmad Alaqsam fahad Ghabban Omair Ameerbakhsh ibrahim Alfadli Amer Fayez Department of Information System Faculty of Computing The University of Tabuk Tabuk Saudi Arabia Information System Department Faculty of Computer Science and Engineering Taibah University Madinah Saudi Arabia

Students face difficulties in programming languages learning (PLL) which encourages many scholars to investigate the factors behind that. Although there a number of positive and negative factors found to be effective in PLL procedure, utilising online tools in PLL were recognized as a positive recommended means. This motivates many researchers to provide solutions and proposals which result in a number of choices and options. However, categorising those efforts and showing what has been done, would provide a better and clear image for future studies. Therefore, this paper aims to conduct a systematic literature review to show what studies have been done and then categorise them based on the type of online tools and the aims of the research. The study follows Kitchenham and Charters guidelines for writing SLR (Systematic Literature Review). The search result reached 1390 publications between 2013-09/2018. After the filtration which has been done through selected criteria, 160 publications were found to be adequate to answer the review questions. The main results of this systematic review are categorizing the aims of the studies in online PLL tools, classifying the tools and finding the current trends of the online PLL tools.

关键词： Online Programming Languages Online Learning Use of Information Technology Online Platforms Online Courses MOOC

Characterizing Peak-Time Traffic Jam Incidents in Kampala Using Exploratory Data Analysis

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Journal of Transportation Technologies 2023年第1期13卷 61-86页

作者： Sekalema Hamza Umar Yahya Abdal Kasule Kasagga Usama Pembe fahad Kamoga ibrahim Department of Computer Science and Information Technology Islamic University in Uganda Kampala Uganda Department of Information and Communication Technology Equator University of Science and Technology Masaka Uganda

Traffic congestion is associated with increased environmental pollutions, as well as reduced socio-economic productivity due to significant delays in travel times. The consequences are worse in least developed countries where motorized road transport networks are often inefficiently managed in addition to being largely underdeveloped. Recent research on traffic congestion has mostly focused on infrastructural aspects of road networks, with little or no emphasis at all on motorists’ on-the-road behavior (MB). The current study thus aimed to bridge this knowledge gap by characterizing traffic jam incidents (TJI) observed over a period of 80 days in Uganda’s Capital City, Kampala. MB as well as road network infrastructural factors such as road blockage (RB), were captured for each of the observed TJI. A total of 483 peak-time TJI were recorded, and exploratory data analysis (EDA) subsequently performed on the TJI dataset. EDA involved Hierarchical clustering analysis (HCA) and K-means clustering of the TJI dataset, as well as a detailed descriptive statistical analysis of both the entire dataset and the emerging TJI clusters. A highlight finding of this study is that 48.2% of the observed TJIs were as a result of on-the-road motorist behavior. Furthermore, the intervention of traffic police officers in a bid to regulate traffic flow was equally responsible for 25.9% of the TJIs observed in this study. Overall, these results indicate that whereas road infrastructural improvement is warranted in order to improve traffic flow, introducing interventions to address inappropriate on-the-road motorists’ behavior could alone improve traffic flow in Kampala, by over 48%. Additionally, in-order to effectively regulate traffic flow in Kampala and other least developed cities with similar traffic congestion management practices, motorists’ on-the-road behavior ought to be factored into any data-driven mechanisms deployed to regulate traffic flow and thus potentially significantly

关键词： Motorist Behavior Traffic Jam Traffic Congestion Urban Road-Networks Motorized Transport Traffic Clusters

Improved Whale Optimization with Local-Search Method for Feature Selection

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Computers, Materials & Continua 2023年第4期75卷 1371-1389页

作者： Malek Alzaqebah Mutasem KAlsmadi Sana Jawarneh Jehad Saad Alqurni Mohammed Tayfour ibrahim Almarashdeh Rami Mustafa A.Mohammad fahad A.Alghamdi Nahier Aldhafferi Abdullah Alqahtani Khalid A.Alissa Bashar A.Aldeeb Usama A.Badawi Maram Alwohaibi Hayat Alfagham Department of Mathematics College of ScienceImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Basic&Applied Scientific Research Center Imam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of MIS College of Applied Studies and Community ServiceImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Science Community CollegeImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Educational Technology College of EducationImam Abdulrahman Bin Faisal UniversityP.O.Box 1982DammamSaudi Arabia Department of Computer Information Systems College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Department of Computer Science College of Computer Science and Information TechnologyImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia Deanship of Information and Communication Technology Imam Abdulrahman bin Faisal UniversityP.O.Box 1982Dammam31441Saudi Arabia

Various feature selection algorithms are usually employed to improve classification models’overall *** algorithms typically accompany such algorithms to select the optimal set of *** the most currently attractive trends within optimization algorithms are hybrid *** present paper presents two Stages of Local Search models for feature selection based on WOA(Whale Optimization Algorithm)and Great Deluge(GD).GD Algorithm is integrated with the WOA algorithm to improve exploitation by identifying the most promising regions during the *** version is employed using the best solution found by the WOA algorithm and exploited by the GD *** addition,disruptive selection(DS)is employed to select the solutions from the population for local *** is chosen to maintain the diversity of the population via enhancing low and high-quality ***(15)standard benchmark datasets provided by the University of California Irvine(UCI)repository were used in evaluating the proposed approaches’***,a comparison was made with four population-based algorithms as wrapper feature selection methods from the *** proposed techniques have proved their efficiency in enhancing classification accuracy compared to other wrapper ***,the WOA can search effectively in the feature space and choose the most relevant attributes for classification tasks.

关键词： Optimization whale optimization algorithm great deluge algorithm feature selection and classification