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Efficient Intelligent E-Learning Behavior-Based Analytics of Student’s Performance Using Deep Forest Model

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Computer Systems Science & Engineering 2024年第5期48卷 1133-1147页

作者： raed Alotaibi Omar Reyad Mohamed Esmail Karar Applied College Shaqra UniversityP.O.Box 33Shaqra11961Saudi Arabia College of Computing and Information Technology Shaqra UniversityP.O.Box 33Shaqra11961Saudi Arabia Faculty of Computers and Artificial Intelligence Sohag UniversitySohag82524Egypt Faculty of Electronic Engineering Menoufia UniversityMenouf32952Egypt

E-learning behavior data indicates several students’activities on the e-learning platform such as the number of accesses to a set of resources and number of participants in *** article proposes a new analytics systemto support academic evaluation for students via e-learning activities to overcome the challenges faced by traditional learning *** proposed e-learning analytics system includes a new deep forest *** consists of multistage cascade random forests with minimal hyperparameters compared to traditional deep neural *** developed forest model can analyze each student’s activities during the use of an e-learning platform to give accurate expectations of the student’s performance before ending the semester and/or the final *** have been conducted on the Open University Learning Analytics Dataset(OULAD)of 32,593 *** proposed deep model showed a competitive accuracy score of 98.0%compared to artificial intelligence-based models,such as ConvolutionalNeuralNetwork(CNN)and Long Short-TermMemory(LSTM)in previous *** allows academic advisors to support expected failed students significantly and improve their academic level at the right ***,the proposed analytics system can enhance the quality of educational services for students in an innovative e-learning framework.

关键词： E-learning behavior data student evaluation artificial intelligence machine learning

Improved Dynamic Johnson Sequencing Algorithm(DJS)in Cloud Computing Environment for Efficient Resource Scheduling for Distributed Overloading

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Journal of Systems Science and Systems Engineering 2024年第4期33卷 391-424页

作者： Anurag Sinha Pallab Banerjee Sharmistha Roy Nitasha Rathore Narendra Pratap Singh Mueen Uddin Maha Abdelhaq raed Alsaqour Department of Computer Science Engineering ICFAI Tech SchoolICFAI UniversityJharkhandRanchi834004India Department of Computer Science Engineering Amity UniversityJharkhandRanchi835303India Department of Computing and Information Technology Usha Martin UniversityRanchi835103India Department of Information Technology Bharti Vidyapeeth’s College of EngineeringPaschim ViharNew DelhiIndia Department of CSE Delhi UniversityNew DelhiIndia College of Computing and Information Technology University of Doha for Science and TechnologyDoha24449Qatar Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdurrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computing and InformaticsSaudi Electronic University93499RiyadhSaudi Arabia

This study introduces an innovative approach to optimize cloud computing job distribution using the Improved Dynamic Johnson Sequencing Algorithm(DJS).Emphasizing on-demand resource sharing,typical to Cloud Service Providers(CSPs),the research focuses on minimizing job completion delays through efficient task *** Johnson’s rule from operations research,the study addresses the challenge of resource availability post-task *** advocates for queuing models with multiple servers and finite capacity to improve job scheduling models,subsequently reducing wait times and queue *** Dynamic Johnson Sequencing Algorithm and the M/M/c/K queuing model are applied to optimize task sequences,showcasing their efficacy through comparative *** research evaluates the impact of makespan calculation on data file transfer times and assesses vital performance indicators,ultimately positioning the proposed technique as superior to existing approaches,offering a robust framework for enhanced task scheduling and resource allocation in cloud computing.

关键词： First come first served(FCFS)scheduling round robin task scheduling queuing model Johnson scheduling algorithm

Efficient and Secure IoT Based Smart Home Automation Using Multi-Model Learning and Blockchain Technology

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 3387-3415页

作者： Nazik Alturki raed Alharthi Muhammad Umer Oumaima Saidani Amal Alshardan Reemah M.Alhebshi Shtwai Alsubai Ali Kashif Bashir Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia Department of Computer Science and Engineering University of Hafr Al-BatinHafar Al-BatinSaudi Arabia Department of Computer Science&Information Technology The Islamia University of BahawalpurBahawalpurPakistan Department of Computer Science Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Computing and Mathematics Manchester Metropolitan UniversityManchesterUK Woxsen School of Business Woxsen UniversityHyderabadIndia Department of Computer Science and Mathematics Lebanese American UniversityBeirutLebanon

The concept of smart houses has grown in prominence in recent *** challenges linked to smart homes are identification theft,data safety,automated decision-making for IoT-based devices,and the security of the device *** home automation systems try to address these issues but there is still an urgent need for a dependable and secure smart home solution that includes automatic decision-making systems and methodical *** paper proposes a smart home system based on ensemble learning of random forest(RF)and convolutional neural networks(CNN)for programmed decision-making tasks,such as categorizing gadgets as“OFF”or“ON”based on their normal routine in *** have integrated emerging blockchain technology to provide secure,decentralized,and trustworthy authentication and recognition of IoT *** system consists of a 5V relay circuit,various sensors,and a Raspberry Pi server and database for managing *** have also developed an Android app that communicates with the server interface through an HTTP web interface and an Apache *** feasibility and efficacy of the proposed smart home automation system have been evaluated in both laboratory and real-time *** is essential to use inexpensive,scalable,and readily available components and technologies in smart home automation ***,we must incorporate a comprehensive security and privacy-centric design that emphasizes risk assessments,such as cyberattacks,hardware security,and other cyber *** trial results support the proposed system and demonstrate its potential for use in everyday life.

关键词： Blockchain Internet of Things(IoT) smart home automation cybersecurity

Recent progress in two-dimensional metallenes and their potential application as electrocatalyst

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Journal of Energy Chemistry 2024年第7期94卷 577-598页

作者： Umer Shahzad Mohsin Saeed Muhammad Fazle Rabbee Hadi M.Marwani Jehan Y.Al-Humaidi Muhammad Altaf raed H.Althomali Kwang-Hyun Baek Md.Rabiul Awual Mohammed M.Rahman Department of Chemistry Faculty of ScienceKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Biotechnology Yeungnam UniversityGyeongsanSouth Korea Center of Excellence for Advanced Materials Research(CEAMR) King Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Chemistry College of SciencePrincess Nourah Bint Abdulrahman UniversityP.O.BOX 84428Riyadh 11671Saudi Arabia Department of Chemistry Center of Excellence for Innovation in Chemistry(PERCH-CIC)Center of Excellence in Materials Science and TechnologyFaculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Department of Chemistry College of Art and SciencePrince Sattam Bin Abdulaziz UniversityWadi Al-Dawasir 11991Saudi Arabia Western Australian School of Mines:Minerals Energy and Chemical EngineeringCurtin UniversityGPO Box U 1987PerthWA 6845Australia

In this article,we looked at metallenes,a novel class of two-dimensional(2D)metals that are attracting interest in the energy and catalysis *** is one area where their exceptional physicochemical and electrical characteristics might be *** are unique because they include several metal atoms that are not in a coordinated *** makes them more active and improves their atomic uti-lization,which in turn increases their catalytic *** article delves into the potential of two-dimensional metals as electrocatalysts for carbon dioxide reduction,fuel oxidation,oxygen evolution,and oxygen reduction reactions in the context of sustainable energy *** to the exception-ally high surface-to-volume ratio,large surface area as well as their optimized atomic use efficiency,2D materials defined by atomic layers are crucial for surface-related sustainable energy *** to its exceptional properties,such as high conductivity and the ability to enhance the exposure of active metal sites,2D metallenes have recently attracted a lot of interest for use in catalysis,electronics,and energy-related *** their highly mobility,adjustable surface states,and electrical struc-tures that can be fine-tuned,2D metallenes are promising nanostructure materials for use in energy con-version with the sustainable applications.

关键词： Metallenes Electrocatalysts Electrochemical processes Atomically thin structure

Cognitive Radio Networks Using Intelligent Reflecting Surfaces

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Computer Systems Science & Engineering 2022年第11期43卷 751-765页

作者： raed Alhamad Information Technology Department Saudi Electronic UniversityRiaydhKingdom of Saudi Arabia

In this article,we optimize harvesting and sensing duration for Cognitive Radio Networks(CRN)using Intelligent Reflecting Surfaces(IRS).The secondary source harvests energy using the received signal from node ***,it performs spectrum sensing to detect Primary Source PS *** PS activity is not detected,The Secondary Source SS transmits data to Secondary Destination SD where all reflected signals on IRS are in phase at *** show that IRS offers 14,20,26,32,38,44,50 dB enhancement in throughput using M=8,16,32,64,128,256,512 reflectors with respect to CRN without *** also suggested to add a second IRS between A and SS to increase the harvested *** use of 2 IRS with M1=8 reflectors in the first IRS and M2=8 reflectors in the second IRS offers 18 dB gain(respectively 32 dB)gain with respect to a single IRS with M2=8 reflectors(respectively without IRS).The use of 2 IRS with M1=16 reflectors in the first IRS and M2=8 reflectors in the second IRS offers 28 dB gain(respectively 42 dB)gain with respect to a single IRS with M2=8 reflectors(respectively without IRS).Our results are valid for Nakagami channels of fading figure *** also provide the throughput of IRS with energy *** have studied packet waiting time and total delay in the presence and absence or *** Signal to Noise Ratio(SNR)per bit equal to 0 dB,packet waiting time is 0.9 ms when there is no IRS and 0.5 ms when there is an IRS with M=8 *** SNR per bit equal to 0 dB,total transmission delay is 54 ms when there is no IRS and 1.5 ms when there is an IRS with M=8 *** show that the energy efficiency is larger when both harvesting and sensing durations are *** maximum of energy efficiency is 260 Mbit/s/Hz/J when harvesting and sensing durations are optimized while the maximum is 80 Mbit/s/Hz/J when harvesting and sensing durations are not optimized.

关键词： Cognitive radio networks energy harvesting spectrum sensing throughput analysis

Symbol Error Probability of Incremental Relaying with Distributed/Centralized Relay Selection

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China Communications 2020年第11期17卷 141-155页

作者： raed Alhamad Hatem Boujemaa Saudi Electronic University College of Computation and InformaticsRiyadh13316Saudi Arabia COSIM-SUPCOM Tunis2083 Tunisia

In this paper,we derive the Symbol Error Probability(SEP)of cooperative systems with incremental relaying and Distributed Relay Selection(DRS).The relays remain idle when the Signal to Noise Ratio(SNR)between the source and destination is larger than ***,we activate a relay using *** nodes transmit only if their SNR is larger than thresholdβ.If the SNRs of more than two relays is larger thanβ,there is a collision and the destination uses only the received signal from the *** all relays have SNR less thanβ,no relay is ***βis optimized to yield the lowest SEP at the *** results are compared to centralized relay selection using opportunistic Amplify and Forward(OAF),Partial and Reactive Relay Selection(PRS and RRS).We compare our results to computer simulations for Rayleigh fading channels.

关键词： incremental relaying distributed relay selection centralized relay selection rayleigh fading channels

Solar Energy Harvesting Using a Timer-Based Relay Selection

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Computers, Materials & Continua 2023年第1期74卷 2149-2159页

作者： raed Alhamad Hatem Boujemaa Information Technology Department Saudi Electronic UniversityRiyadhSaudi Arabia UCAR-SUPCOM-COSIM Ariana2083Tunisia

In this paper,the throughput and delay of cooperative communications are derived when solar energy is used and relay node is selected using a *** source and relays harvest energy from sun using a photo voltaic *** harvested power is used by the source to transmit data to the ***,a selected relay amplifies the signal to the ***,partial and reactive relay selection are *** relay transmits when its timer *** timer is set to a value proportional to the inverse of its Signal to Noise Ratio(SNR).Therefore,the relay with largest SNR will transmit first and its signal will be detected by the other relays that will remain idle to avoid *** duration is optimized to maximize the ***’s waiting time and total delay are also *** also derive the statistics of SNR when solar energy is *** harvested power from sun is proportional to the sum of a deterministic radiation intensity and a random attenuation due to weather effects and clouds *** fixed radiation intensity depends on season,month and time t in *** throughput of cooperative communications with energy harvesting from sun was not yet studied.

关键词： Solar energy harvesting timer based relay selection relaying techniques throughput and delay analysis

Throughput Enhancement for NOMA Systems Using Intelligent Reflecting Surfaces

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Computers, Materials & Continua 2022年第12期73卷 5233-5244页

作者： raed Alhamad Hatem Boujemaa Information Technology Department Saudi Electronic UniversityRiaydhSaudi Arabia UCAR-SUPCOM-COSIM Ariana2083Tunisia

In this article,we optimize the powers associated to Non Orthogonal Multiple Access(NOMA)users,sensing and harvesting duration for Cognitive Radio Networks(CRN).The secondary source harvests energy from node A ***,it senses the channel to detect primary ***,the secondary source transmits a signal that is reflected by Intelligent Reflecting Surfaces(IRS)so that all reflections have a zero phase at any user.A set Ii of reflectors are associated to user *** use ofM=Mi=512,256,128,64,32,16,8 reflectors per user offers 45,42,39,36,33,30,27 dB gain *** absence of *** also suggest the use of IRS in energy *** use P=8 reflectors for energy harvesting and M=Mi=8 reflectors per user for data communications offers 7 and 38 dB gain *** IRSM=Mi=8 and the absence of *** use of P=16 reflectors for energy harvesting and M=Mi=8 reflectors per user for data communications offers 9 and 42 dB gain *** IRS M=Mi=8 and the absence of IRS.

关键词： CRN NOMA spectrum sensing energy harvesting throughput maximization

NOMA with Adaptive Transmit Power Using Intelligent Reflecting Surfaces

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Computer Systems Science & Engineering 2023年第5期45卷 2059-2070页

作者： raed Alhamad Hatem Boujemaa Information Technology Department Saudi Electronic UniversityRiaydhSaudi Arabia University of Carthage SUPCOM-COSIMAriana2083Tunisia

In this article,we use Intelligent Reflecting Surfaces(IRS)to improve the throughput of Non Orthogonal Multiple Access(NOMA)with Adaptive Transmit Power(ATP).The results are valid for Cognitive Radio Networks(CRN)where secondary source adapts its power to generate low interference at primary *** all previous studies,IRS were implemented with fixed transmit power and previous results are not valid when the power of the secondary source is *** CRN,secondary nodes are allowed to transmit over the same band as primary users since they adapt their power to minimize the generated *** NOMA user has a subset of dedicated *** any NOMA user,all IRS reflections have the same ***-NOMA using IRS offers 7,13,20 dB gain ***-NOMAwithout IRS for N=8,16,32 *** also evaluate the effects of primary *** results are valid for any number of NOMA users,Quadrature Amplitude Modulation(QAM)and Rayleigh channels.

关键词： IRS 6G CRN NOMA adaptive transmit power(ATP)