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Energy Efficient Scheduler of Aperiodic Jobs for Real-time Embedded Systems

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International Journal of Automation and computing 2020年第5期17卷 733-743页

作者： hussein el ghor el-Hadi MAggoune University Institute of Technology Lebanese UniversityLebanon Sensor Networks and Cellular Systems(SNCS)Research Center UTSaudi Arabia electrical Engineering Department University of Tabuk Sensor Networks and Cellular Systems(SNCS)Research Center 71491 TabukSaudi Arabia

Energy consumption has become a key metric for evaluating how good an embedded system is,alongside more performance metrics like respecting operation deadlines and speed of *** improvement is no longer the only metric by which optimality is *** fact,energy efficiency is becoming a preferred choice with a fundamental objective to optimize the system's *** this work,we propose an optimal energy efficient scheduling algorithm for aperiodic real-time jobs to reduce CPU energy ***,we apply the concept of real-time process scheduling to a dynamic voltage and frequency scaling(DVFS)*** address a variant of earliest deadline first(EDF)scheduling algorithm called energy saving-dynamic voltage and frequency scaling(ES-DVFS)algorithm that is suited to unpredictable future energy production and irregular job *** prove that ES-DVFS cannot attain a total value greater than C/ˆSα,whereˆS is the minimum speed of any job and C is the available energy *** also investigate the implications of having in advance,information about the largest job size and the minimum speed used for the competitive factor of *** show that such advance knowledge makes possible the design of semi-on-line algorithm,ES-DVFS∗∗,that achieved a constant competitive factor of 0.5 which is proved as an optimal competitive *** experimental study demonstrates that substantial energy savings and highest percentage of feasible job sets can be obtained through our solution that combines EDF and DVFS optimally under the given aperiodic jobs and energy models.

关键词： Real-time systems energy efficiency aperiodic jobs scheduling dynamic voltage scaling low-power systems embedded systems

Evolution of blockchain consensus algorithms: a review on the latest milestones of blockchain consensus algorithms

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Cybersecurity 2024年第3期7卷 80-101页

作者： Ziad hussein May A.Salama Sahar A.el-Rahman electrical Engineering Department Faculty of Engineering-ShoubraBenha UniversityCairoEgypt

Blockchain technology has gained widespread adoption in recent years due to its ability to enable secure and trans-parent record-keeping and data transfer.A critical aspect of blockchain technology is the use of consensus algorithms,which allow distributed nodes in the network to agree on the state of the *** this review paper,we exam-ine various consensus algorithms that are used in blockchain systems,including proof-of-work,proof-of-stake,and hybrid *** go over the trade-offs and factors to think about when choosing a consensus algorithm,such as energy efficiency,decentralization,and *** also look at the strengths and weaknesses of each algorithm as well as their potential impact on the scalability and adoption of blockchain technology.

关键词： Blockchain Consensus Proof of work Proof of stake Decentralization

Rapid conversion of cellulose to 5-hydroxymethylfurfural using single and combined metal chloride catalysts in ionic liquid

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燃料化学学报 2013年第2期41卷 214-222页

作者： hussein Abou-Yousef el Barbary Hassan Philip Steele Department of Forest Products Mississippi State University Cellulose & Paper Department National Research CenterDokkiCairoEgypt

Direct conversion of cellulose into 5-hydroxymethylfurfural(HMF) was performed by using single or combined metal chloride catalysts in 1-ethyl-3-methylimidazolium chloride(Cl) ionic *** study demonstrated formation of 2-furyl hydroxymethyl ketone(FHMK),and furfural(FF) simultaneously with the formation of *** reaction parameters were addressed to optimize yields of furan derivatives produced from cellulose by varying reaction temperature,time,and the type of metal chloride *** reaction by using FeCl3 resulted in 59.9% total yield of furan derivatives(HMF,FHMK,and FF) from ***3 was the most effective catalyst for selective conversion of cellulose into HMF(35.6%) with less concentrations of FHMK,and *** the yields of furans produced from cellulose could be achieved via reactions catalyzed by different combinations of two metal *** optimization was carried out to produce total furans yield 75.9% by using FeCl3/CuCl2 ***3/CuCl2 was the most selective combination to convert cellulose into HMF(39.9%) with total yield(63.8%) of furans produced from the *** temperature and time of the catalytic reaction played an important role in cellulose conversion,and the yields of *** the reaction temperature could enhance the cellulose conversion and HMF yield for short reaction time intervals(5~20 min).

关键词：化学动力学燃料化学理论 EMIM HMF

Effect of smart sprinkler irrigation utilization on water use efficiency for wheat crops in arid regions

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International Journal of Agricultural and Biological Engineering 2014年第1期7卷 26-35页

作者： hussein Mohammed Al-Ghobari Mohamed Said Abdalla el Marazky Department of Agricultural Engineering College of Food and Agriculture Sciences King Saud UniversityRiyadh 11451Kingdom of Saudi Arabia

The smart irrigation system(SIS)developed in this research is a valuable tool for scheduling irrigation and quantifying water required by *** was implemented and tested under sprinkler irrigation system to irrigate wheat crops(YecoraRojo).Results obtained from this system were compared with the control irrigation system(CIS),whose scheduling method was based on data from an automatic weather *** indicated significant savings in applied water using the *** addition,the use of the SIS conserved 12%of irrigation water compared to CIS and obtained an economical *** water use efficiency(WUE)under SIS had generally higher values(1.64 kg/m^(3))compared to CIS(1.46 kg/m^(3)).Hence,the application of SIS technology provides significant advantages on WUE and irrigation water use efficiency(IWUE).Relatively high WUE and IWUE were found for the irrigation treatment(80%of evapotranspiration under SIS).Results showed that the irrigation requirements of wheat increased(100%of ETc under CIS)with increasing evapotranspiration(ETc)but excessive irrigation could decrease WUE and *** results indicated that extreme irrigation might not produce higher yield or optimal economic benefit,thus,suitable irrigation schedules by using SIS must be established and extendable to other agricultural crops.

关键词： smart irrigation system(SIS) sprinkler irrigation scheduling water use efficiency arid region evapotranspiration grain yield

Generalized Green Correspondence of Graded Modules

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Chinese Annals of Mathematics,Series B 2009年第4期30卷 413-420页

作者： Salah el-Din S. hussein Department of Mathematics Faculty of Science Ain Shams University Abasaya-Cairo 11566 Egypt.

The author studies the Green correspondence and quasi-Green correspondence for indecomposable modules over strongly graded rings. The motivation is to investigate the influence of induction and restriction processes o... 详细信息

关键词： Vertices Sources Graded rings Graded modules Green correspondence

Denoising different types of acoustic partial discharge signals using power spectral subtraction

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High Voltage 2018年第1期3卷 44-50页

作者： Ramy hussein Khaled Bashir Shaban Ayman H.el-Hag Department of electrical and Computer Engineering University of British ColumbiaVancouverBCCanada Department of Computer Science and Engineering Qatar UniversityDohaQatar Department of electrical Engineering American University of SharjahSharjahUAE

Measuring acoustic emission(AE)of partial discharge(PD)phenomena can be adopted to estimate the condition of power ***,the environmental noise encountered with AE of PD measurements negatively affects the accuracy of PD localisation and ***,efficient signal denoising techniques are required for noise suppression and hence,better detection *** study deals with white noise and it is a continuation of a previously published work that deals with random *** published work addresses the random noise suppression using a method named,power spectral subtraction denoising(PSSD).This study applies PSSD to the PD signals contaminated with white noise and uses a novel scheme of noise power spectrum density *** types of AE signals are examined including signals produced by corona,surface,parallel,and void *** and real data demonstrate the superiority of the proposed method over the wavelet shrinkage denoising method as it can more effectively eliminate white noise and preserve signals of low signal-to-noise ratio.

关键词： power noise spectral

Optimization of double chamber microbial fuel cell for domestic wastewater treatment and electricity production

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燃料化学学报 2015年第9期43卷 1092-1099页

作者： Amr el-Hag Ali Ola M.Gomaa Reham Fathey hussein Abd el Kareem Mohamed Abou Zaid Polymer Chemistry Department Microbiology Department National Center for Radiation Research and Technology (NCRRT) Egyptian Atomic energy Authority ( EAEA ) Nasr City Cairo Egypt DAS Taibah University Medinah KSA

Microbial fuel cells(M FCs)represent a new approach for treating w aste w ater along w ith electricity *** present study addressed electricity production from domestic w astew ater using a mediator-less double chamber M *** electricity production w as monitored under different operational conditions for both summer and w inter *** of the anodic and cathodic chambers resulted in a maximal current of 0.784 and 0.645 m A w ith the maximal pow er intensity of 209 and 117 m W/m2in pow er duration of 24 h for the summer and w inter samples,*** electron microscopy show ed that the bacterial biofilm formation on the anode w as denser for the summer sample than that w hen the w inter sample w as used,so w as the total bacterial ***,samples taken during summer w ere considered better in electricity production and w aste w ater treatment than those taken during w inter basically because of the high microbial load during the hot *** parallel,there w as a decrease in both biological oxygen demand(BOD5)and chemical oxygen demand(COD)values which reached 71.8%and 72.85%,respectively at the end of the operation process for the summer sample,w hile there w as no evident decrease for the w inter *** the operating conditions not only increased the potential of using domestic w aste w ater in microbial fuel cells to produce electricity,but also improved the quality of the domestic w aste w ater.

关键词：微生物引起的燃料房间国内废水处理操作条件电生产

Prospects delineation and evaluation using the CDP gathers characterization, onshore Nile Delta, Egypt

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Petroleum Research 2019年第4期4卷 365-375页

作者： Mohamed hussein Ahmed S.Abu el-Ata Mohamed G.el-Behiry Petroleum Engineering Department Faculty of EngineeringFuture University in EgyptEgypt Geophysics Department Faculty of ScienceAin Shams UniversityEgypt Geophysics Department Faculty of ScienceCairo UniversityEgypt

In the last decade, the seismic AVO analysis have become prominent in the direct hydrocarbons indicator(DHI), aimed at characterizing the fluid content or the lithology of a possible reservoir and reducing theexploration drilling risk. This research discuss the impact of studying the common depth point (CDP)gathers on Near, Mid and Far-offsets, to verify the credibility of the amplitude response in the prospectevaluation, through analyzing a case study of two exploratory wells;one has already penetrated a gasbearing sandstone as a reservoir and the other one is dry-sand, but drilled in two different prospects,using the amplitude versus offset (AVO) analysis, to understand the reservoir configuration and itsrelation to the different amplitude response. The results show, that the missing of the short-offset data isthe reason of the false anomaly encountered in the dry sand, due to some urban surface obstacles duringacquiring the seismic data in the field especially, the study area is located in el Mansoura city, which it isa highly cultivated flat terrain, with multiple channels and many large orchards on the edge of the river,and sugar cane and rice fields. Several lessons have been learned, which how to differentiate between thegas reservoirs and non-reservoirs, by understanding the relation between the Near and Far-offset traces,to reduce the amplitude anomalies to their right justification, where missing of Near-offset data led to apseudo-amplitude anomaly. The results led to a high success of exploration ratio as the positives vastlyoutweigh the negatives.

关键词： CDP gathers AVO analysis Seismic attributes Qawasim sands Near-offset

Course Evaluation Based on Deep Learning and SSA Hyperparameters Optimization

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Computers, Materials & Continua 2022年第4期71卷 941-959页

作者： Alaa A.el-Demerdash Sherif E.hussein John FW Zaki Department of Computer and Systems Faculty of EngineeringMansoura UniversityMansoura35516Egypt

Sentiment analysis attracts the attention of Egyptian Decisionmakers in the education *** offers a viable method to assess education quality services based on the students’feedback as well as that provides an understanding of their *** machine learning techniques offer automated strategies to process big data derived from social media and other digital channels,this research uses a dataset for tweets’sentiments to assess a few machine learning *** dataset preprocessing to remove symbols,necessary stemming and lemmatization is performed for features *** is followed by several machine learning techniques and a proposed Long Short-Term Memory(LSTM)classifier optimized by the Salp Swarm Algorithm(SSA)and measured the corresponding ***,the validity and accuracy of commonly used classifiers,such as Support Vector Machine,Logistic Regression Classifier,and Naive Bayes classifier,were ***,LSTM based on the SSA classification model was compared with Support Vector Machine(SVM),Logistic Regression(LR),and Naive Bayes(NB).Finally,as LSTM based SSA achieved the highest accuracy,it was applied to predict the sentiments of students’feedback and evaluate their association with the course outcome evaluations for education quality purposes.

关键词： Sentiment analysis course evaluation deep learning Bi-LSTM opinion mining students feedback natural language processing machine learning tweets analysis SSA