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Task Scheduling Optimization in Cloud Computing by Rao Algorithm

Computers, Materials & Continua 2022年第9期72卷 4339-4356页

作者： A.Younes M.Khelnahary Monagi h.Alkinani hamdy h.el-Sayed Faculty of Computers and Information Department of Computer ScienceSohag UniversitySohag82524Egypt Department of Computer Science and Artificial Intelligence College of Computer Science and EngineeringUniversity of JeddahJeddah21959Saudi Arabia

Cloud computing is currently dominated within the space of highperformance distributed computing and it provides resource polling and ondemand services through the ***,task scheduling problem becomes a very important analysis space within the field of a cloud computing environment as a result of user’s services demand modification *** main purpose of task scheduling is to assign tasks to available processors to produce minimum schedule length without violating precedence *** heterogeneous multiprocessor systems,task assignments and schedules have a significant impact on system *** the heuristic-based task scheduling algorithm,the different processes will lead to a different task execution time(makespan)on a heterogeneous computing ***,a good scheduling algorithm should be able to set precedence efficiently for every subtask depending on the resources required to reduce(makespan).In this paper,we propose a new efficient task scheduling algorithm in cloud computing systems based on RAO algorithm to solve an important task and schedule a heterogeneous multiple processing *** basic idea of this process is to exploit the advantages of heuristic-based algorithms to reduce space search and time to get the best *** evaluate our algorithm’s performance by applying it to three examples with a different number of tasks and *** experimental results show that the proposed approach significantly succeeded in finding the optimal solutions than others in terms of the time of task implementation.

关键词： heterogeneous processors RAO algorithm heuristic algorithms task scheduling multiprocessing cloud computing

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A Synergistic Multi-Attribute Decision-Making Method for Educational Institutions Evaluation Using Similarity Measures of Possibility Pythagorean Fuzzy hypersoft Sets

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 501-530页

作者： Khuram Ali Khan Saba Mubeen Ishfaq Atiqe Ur Rahman Salwa el-Morsy Department of Mathematics University of SargodhaSargodha40100Pakistan Department of Mathematics University of Management and TechnologyLahore54000Pakistan Department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia

Due to the numerous variables to take into account as well as the inherent ambiguity and uncertainty,evaluating educational institutions can be *** concept of a possibility Pythagorean fuzzy hypersoft set(pPyFhSS)is more flexible in this regard than other theoretical fuzzy set-like models,even though some attempts have been made in the literature to address such *** study investigates the elementary notions of pPyFhSS including its set-theoretic operations union,intersection,complement,OR-and *** results related to these operations are also modified for ***,the similarity measures between pPyFhSSs are formulated with the assistance of numerical examples and ***,an intelligent decision-assisted mechanism is developed with the proposal of a robust algorithm based on similarity measures for solving multi-attribute decision-making(MADM)problems.A case study that helps the decision-makers assess the best educational institution is discussed to validate the suggested *** algorithmic results are compared with the most pertinent model to evaluate the adaptability of pPyFhSS,as it generalizes the classical possibility fuzzy set-like theoretical ***,while considering significant evaluating factors,the flexibility of pPyFhSS is observed through structural comparison.

关键词： hypersoft set Pythagorean fuzzy hypersoft set computational complexity multi-attribute decision-making optimization similarity measures uncertainty

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The Thermodynamical Behaviors of Kerr–Newman AdS Black holes

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Chinese Physics Letters 2013年第9期30卷 29-33页

作者： A.Belhaj M.Chabab h.el Moumni L.Medari M.B.Sedra Département de Physique FacultéPolydisciplinaireUniversitéSultan Moulay SlimaneBéni MellalMorocco high Energy Physics and Astrophysics Laboratory FSSMCadi Ayyad UniversityMarrakeshMorocco UniversitéIbn Tofail Facultédes SciencesDépartement de PhysiqueLHESIRKénitraMorocco

We reconsider the study of critical behaviors of Kerr—Newman Anti-de Sitter(AdS)black holes in four *** study is made in terms of the moduli space parameterized by the charge Q and the rotation parameter a,relating the mass M of the black hole and its angular momentum J via the relation a=J/***,we discuss such thermodynamical behaviors in the presence of a positive cosmological constant considered as a thermodynamic pressure and its conjugate quantity as a thermodynamic *** equation of state for a charged Reissner—Nordstrom AdS black hole predicts a critical universal number depending on the(Q,a)moduli *** the vanishing limit of the a parameter,this prediction recovers the usual universal number in four ***,we find the bounded region of the moduli space allowing the consistency of the model with real thermodynamical variables.

关键词： Newman thermodynamic behaviors

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Seasonal electric vehicle forecasting model based on machine learning and deep learning techniques

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Energy and AI 2023年第4期14卷 398-414页

作者： heba-Allah I.el-Azab R.A.Swief Noha h.el-Amary h.K.Temraz Faculty of Engineering Ahram Canadian University(ACU)GizaEgypt Faculty of Engineering Ain Shams UniversityCairo 11517Egypt Arab Academy for Science Technology and Maritime Transport(AASTMT)Cairo 2033Egypt

In this paper,multiple featured machine learning algorithms and deep learning algorithms are applied in fore-casting the electric vehicles charging load profile from real datasets of Spain’s electrical *** study aims to provide realistic datasets of electric vehicle load profiles to cope with the potential increase in electric vehicle penetration taking into consideration the seasonality *** issues are caused by the distribution network of the electricity grid;such as the huge charging power and stochastic charging behaviors of the drivers of electric vehicles due to the mass rollout of electric *** electric vehicles’load profile is necessary to face challenges to solve the problem of the potential mass rollout of electric vehicles ***,electric vehicle is considered one of the most promising solutions that develops faster than other stochastic renewable solution to reduce greenhouse *** seasonality effect is one of the huge chal-lenges on electrical loads,so it is investigated by creating four separate forecasting networks to increase system accuracy and studying the effect of seasonal factors such as temperature fluctuation in the four seasons affecting the electric vehicles’battery in charging and draining *** factors are affecting the accuracy of the forecasting *** featured algorithms are *** Neural Networks and Adaptive Neuro-Fuzzy Inference Systems are applied as machine learning algorithms,and Long Short-Term Memory and the Gated Recurrent Units are also utilized as deep learning *** Gated Recurrent Units model performs slightly better than the long short-term memory employed on the hourly average daily historical data of charging electric *** the Adaptive Neuro-Fuzzy Inference System gathers both Artificial Neural Network and Fuzzy Inference System advantages.

关键词： Adaptive neuro-fuzzy inference system Deep learning electric vehicles Gated recurrent units Long short-term memory Neural network Short-term load forecasting

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Rao Algorithms-Based Structure Optimization for heterogeneous Wireless Sensor Networks

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Computers, Materials & Continua 2024年第1期78卷 873-897页

作者： Shereen K.Refaay Samia A.Ali Moumen T.el-Melegy Louai A.Maghrabi hamdy h.el-Sayed Faculty of Computers and Artificial Intelligence Sohag UniversitySohag82524Egypt Faculty of Engineering Assiut UniversityAssiut711745Egypt College of Engineering University of Business and TechnologyJeddah23411Saudi Arabia

The structural optimization of wireless sensor networks is a critical issue because it impacts energy consumption and hence the network’s *** studies have been conducted for homogeneous networks,but few have been performed for heterogeneouswireless sensor *** paper utilizes Rao algorithms to optimize the structure of heterogeneous wireless sensor networks according to node locations and their initial *** proposed algorithms lack algorithm-specific parameters and metaphorical *** proposed algorithms examine the search space based on the relations of the population with the best,worst,and randomly assigned *** proposed algorithms can be evaluated using any routing protocol,however,we have chosen the well-known routing protocols in the literature:Low Energy Adaptive Clustering hierarchy(LEACh),Power-Efficient Gathering in Sensor Information Systems(PEAGSIS),Partitioned-based Energy-efficient LEACh(PE-LEACh),and the Power-Efficient Gathering in Sensor Information Systems Neural Network(PEAGSIS-NN)recent routing *** compare our optimized method with the Jaya,the Particle Swarm Optimization-based Energy Efficient Clustering(PSO-EEC)protocol,and the hybrid harmony Search Algorithm and PSO(hSA-PSO)*** efficiencies of our proposed algorithms are evaluated by conducting experiments in terms of the network lifetime(first dead node,half dead nodes,and last dead node),energy consumption,packets to cluster head,and packets to the base *** experimental results were compared with those obtained using the Jaya optimization *** proposed algorithms exhibited the best *** proposed approach successfully prolongs the network lifetime by 71% for the PEAGSIS protocol,51% for the LEACh protocol,10% for the PE-LEACh protocol,and 73% for the PEGSIS-NN protocol;Moreover,it enhances other criteria such as energy conservation,fitness convergence,packets to cluster head,and packets to the base sta

关键词： Wireless sensor networks Rao algorithms optimization LEACh PEAGSIS

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Influence of potassium fertilization and foliar application of zinc and phosphorus on growth,yield components,yield and fiber properties of Egyptian cotton(Gossypium barbadense L.)

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Journal of Plant Ecology 2008年第4期1卷 259-270页

作者： Zakaria M.Sawan Mahmoud h.Mahmoud Amal h.el-Guibali Cotton Research Institute Agricultural Research CenterMinistry of Agriculture and Land Reclamation9 Gamaa StreetGiza 12619Egypt Soils Water and Environment Research InstituteAgricultural Research CenterMinistry of Agriculture and Land Reclamation9 Gamaa StreetGiza 12619Egypt

Aims Supplying optimal quantities of mineral nutrients to growing crop plants is one way to improve crop *** need to be used rationally in order to avoid a negative ecological impact and undesirable effects on the sustainability of agricultural production *** application of nutrients also affects the farmer’s *** order to calculate the amount of fertilizer to be applied to crops,it is necessary to develop recommendation programmers that adjust nutrient rates to crop *** Experiments in two successive seasons were conducted to investigate the effect of K fertilization and foliar application of Zn and P on yield and fiber properties of cotton *** ***(0.0 and 47.4 kg of K ha^(-1))was soil applied,while chelated zinc(0.0 and 57.6 g of Zn ha^(-1),applied twice at 70 and 85 days after sowing‘DAS’)and phosphorus(0.0,576,1152 and 1728 g of P ha^(-1),applied twice at 80 and 95 DAS)were applied to the *** findings Dry matter yield,total chlorophyll concentration,K,Zn and P uptake per plant,number of opened bolls per plant,boll weight,seed index,lint index,seed cotton yield per plant,seed cotton and lint yield ha^(-1) and earliness of harvest increased with the application of K,Zn and *** generally had no significant effect on lint percentage and fiber properties,with exceptions,for micronaire reading and flat bundle strength,and uniformity ratio,where the mean values of these characters were significantly increased over the untreated control by applying K,and for the micronaire reading in the first season,when applying P at 1728 g ha^(-1),and uniformity ratio in the second season,when applying Pat 1152 and 1728 g ha^(-1),where the mean values of these characters were significantly increased over the untreated control by applying *** the conditions of this study,applying K fertilization at 47.4 kg ha^(-1) combined with spraying cotton plants with zinc at 57.6 g ha^(-1) and also with P at

关键词： cotton fiber properties phosphorus potassium yield and yield components zinc

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The use of new class α-amino nitrile modified magnetic adsorbents for removal of Cd(II) from aqueous medium: Sorbent modification vs. α-amino nitrile addition to the adsorption medium

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Emerging Contaminants 2024年第1期10卷 32-46页

作者： Eyad A.Younes Amjad h.el-Sheikh Rawan B.Alsmadi Department of Chemistry Faculty of ScienceThe Hashemite UniversityP.O.Box 330127Zarqa13133Jordan

In the present work,some novel α-amino nitriles were prepared:amino-2-(anthracen-9-yl)acetonitrile(AAN),and 2-(naphthalen-1-yl)-2-((triethoxysilyl)propyl)amino)acetonitrile(Si-AN).With the aid of other organic compounds(3-aminopropyl triethoxysilane“APTES”and tetraethyl orthosilicate“TEOS”),the following carbon nanotubes“CNT”and magnetite“Mag”based adsorbents were prepared:CNT-AAN,Mag-SiO_(2),Mag-SiO_(2)-APTES,Mag-SiO_(2)-*** FT-IR,1h and 13C NMR spectroscopy proved the formation of(C triple bond N)and(Nh-)bonds which indicated successful amino nitrile modification of the *** ability of the above-mentioned adsorbents to remove cadmium“Cd(II)”from water was studied at various ph *** modification with AAN reduced Cd(II)uptake,while all Mag modifications increased Cd *** addition of AAN to the extraction medium with CNT sorbent reduced Cd(II)*** addition of TEOS and Si-AN to the extraction medium for Cd(II)removal using Mag was studied where a positive impact was *** on the above experiments,it was decided to use Mag as adsorbent with the addition of Si-AN to the extraction *** optimization recommended ph 8 and Cd:Si-AN molar ratio of 1:*** maximum adsorption capacity towards Cd(II)achieved in this study was 65 mg g^(−1).The method selectivity,re-usability and applicability on well water and tap water samples gave appropriate *** adsorption of Cd(II)on Mag in the presence of Si-AN was fast,endothermic,spontaneous,favored and physi-sorption was predominant.

关键词： Amino nitriles Magnetite Carbon nanotubes Cadmium uptake

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Optimization Task Scheduling Using Cooperation Search Algorithm for heterogeneous Cloud Computing Systems

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Computers, Materials & Continua 2023年第1期74卷 2133-2148页

作者： Ahmed Y.hamed M.Kh.elnahary Faisal S.Alsubaei hamdy h.el-Sayed Department of Computer Science Faculty of Computers and Artificial IntelligenceSohag UniversitySohag82524Egypt Department of Cybersecurity College of Computer Science and EngineeringUniversity of JeddahJeddah21959Saudi Arabia

Cloud computing has taken over the high-performance distributed computing area,and it currently provides on-demand services and resource polling over the *** a result of constantly changing user service demand,the task scheduling problem has emerged as a critical analytical topic in cloud *** primary goal of scheduling tasks is to distribute tasks to available processors to construct the shortest possible schedule without breaching precedence *** and schedules of tasks substantially influence system operation in a heterogeneous multiprocessor *** diverse processes inside the heuristic-based task scheduling method will result in varying makespan in the heterogeneous computing *** a result,an intelligent scheduling algorithm should efficiently determine the priority of every subtask based on the resources necessary to lower the *** research introduced a novel efficient scheduling task method in cloud computing systems based on the cooperation search algorithm to tackle an essential task and schedule a heterogeneous cloud computing *** basic idea of thismethod is to use the advantages of meta-heuristic algorithms to get the optimal *** assess our algorithm’s performance by running it through three scenarios with varying numbers of *** findings demonstrate that the suggested technique beats existingmethods NewGenetic Algorithm(NGA),Genetic Algorithm(GA),Whale Optimization Algorithm(WOA),Gravitational Search Algorithm(GSA),and hybrid heuristic and Genetic(hhG)by 7.9%,2.1%,8.8%,7.7%,3.4%respectively according to makespan.

关键词： heterogeneous processors cooperation search algorithm task scheduling cloud computing

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Solid Waste Management:A MADM Approach Using Fuzzy Parameterized Possibility Single-Valued Neutrosophic hypersoft Expert Settings

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 531-553页

作者： Tmader Alballa Muhammad Ihsan Atiqe Ur Rahman Noorah Ayed Alsorayea hamiden Abd el-Wahed Khalifa Department of Mathematics College of SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia 2 Department of Mathematics University of Management and TechnologyLahore54000Pakistan Department of Mathematics College of ScienceQassim UniversityBuraydah51452Saudi Arabia

The dramatic rise in the number of people living in cities has made many environmental and social problems *** search for a productive method for disposing of solid waste is the most notable of these *** scholars have referred to it as a fuzzy multi-attribute or multi-criteria decision-making problem using various fuzzy set-like approaches because of the inclusion of criteria and anticipated *** goal of the current study is to use an innovative methodology to address the expected uncertainties in the problem of solid waste site *** characteristics(or sub-attributes)that decision-makers select and the degree of approximation they accept for various options can both be indicators of these *** tackle these problems,a novel mathematical structure known as the fuzzy parameterized possibility single valued neutrosophic hypersoft expert set(ρˆ-set),which is initially described,is integrated with a modified version of Sanchez’s *** this,an intelligent algorithm is *** steps of the suggested algorithm are explained with an example that explains *** compatibility of solid waste management sites and systems is discussed,and rankings are established along with detailed justifications for their *** study’s strengths lie in its application of fuzzy parameterization and possibility grading to effectively handle the uncertainties embodied in the parameters’nature and alternative approximations,*** uses specific mathematical formulations to compute the fuzzy parameterized degrees and possibility grades that are missing from the prior *** is simpler for the decisionmakers to look at each option separately because the decision is *** the computed results,it is discovered that they are consistent and dependable because of their preferred properties.

关键词： hypersoft expert set Sanchez’s method decision making optimization solid waste management possibility grade fuzzy parameterization

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A DNA sensor based on upconversion nanoparticles and two-dimensional dichalcogenide materials

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Frontiers of Chemical Science and Engineering 2021年第4期15卷 935-943页

作者： Konstantina Alexaki Davide Giust Maria-eleni Kyriazi Afaf h.el-Sagheer Tom Brown Otto L.Muskens Antonios G.Kanaras School of Physics and Astronomy Faculty of Engineering and Physical SciencesUniversity of SouthamptonSouthampton SO171BJUK Department of Chemistry University of OxfordChemistry Research LaboratoryOxford OX13TAUK Chemistry Branch Department of Science and MathematicsFaculty of Petroleum and Mining EngineeringSuez UniversitySuez 43721Egypt Institute for Life Sciences University of SouthamptonSouthampton SO171BJUK

We demonstrate the fabrication of a new DNA sensor that is based on the optical interactions occurring between oligonucleotide-coated NaYF4:Yb^(3+);Er^(3+) upconversion nanoparticles and the two-dimensional dichalcogenide materials,MoS_(2) and WS_(2).Monodisperse upconversion nanoparticles were functionalized with single-stranded DNA endowing the nanoparticles with the ability to interact with the surface of the two-dimensional materials via van der Waals interactions leading to subsequent quenching of the upconversion *** contrast,in the presence of a complementary oligonucleotide target and the formation of double-stranded DNA,the upconversion nanoparticles could not interact with MoS_(2) and WS_(2),thus retaining their inherent fluorescence *** this sensor we were able to detect target oligonucleotides with high sensitivity and specificity whilst reaching a concentration detection limit as low as 5 mol·L^(-1),within minutes.

关键词： upconversion nanoparticles DA sensor two-dimensional materials MoS_(2) WS_(2)

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