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Control of hybrid DC/AC microgrid system employing fuel cell and solar photovoltaic sources using grey wolf optimization

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Clean Energy 2022年第4期6卷 659-670页

作者： Ahmed M.Al-Antaki T.V.Golubchik Mushtaq A.Al-Furaiji h.j.mohammed Moscow Automobile and Road Construction State Technical University(MADI) Leningradsky Ave.64Moscow125319Russian Federation Bauman Moscow State Technical University MoscowRussian Federation Faculty of Energy and Ecotechnology ITMO University49 Kronverksky prospectSt.Petersburg197101Russian Federation Department of Mechanical Engineering College of EngineeringUniversity of MisanMisanAl-Amarah62001Iraq Institute of Energy Peter the Great St.Petersburg Polytechnic UniversitySaint Petersburg 195251Russian Federation

The outcome of this study is to improve and enhance the power quality of the hybrid DC/AC microgrid(MG).The photovoltaic(PV)system and the proton exchange membrane fuel cell(PEMFC)are used as renewable energy sources to deliver the optimum active power to the utility *** MG system based on the PV system,PEMFC and voltage source inverter is modelled ***,the maximum power point tracking(MPPT)-based grey wolf optimization(GWO)is used to increase the PV module efficiency and enhance ***,to improve the PEMFC performance,a digital proportional-integral controller is used to control the PEMFC *** proposed inverter is controlled using synchronous reference frame theory,called the direct-quadrature(dq)control ***,the performance of the proposed MG system is tested using MATLAB®for various weather and loading condi*** the simulation results,the proposed MG system can deliver and absorb an active power based on the PV and fuel cell *** a result,the hybrid DC/AC MG is enhanced in terms of stabilization of the DC-bus ***,the power quality of the MG is improved using GWO optimization based on ***,good results are achieved using GWO in terms of the total harmonic distortion of the output current of 2.3%and higher efficiency of 98.9%.

关键词： DC/AC inverter optimization

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A hydrodynamic modelling of wave-activated bodies for wavelet marine regions

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Clean Energy 2024年第2期8卷 35-47页

作者： j.S.Peh mohammed W.Muhieldeen N.h.Shuaib Mechanical Engineering Department Faculty of EngineeringTechnology&Built EnvironmentUCSI UniversityKuala Lumpur56000Malaysia MTC Engineer Sdn.Bhd Shah AlamSelangorMalaysia

Recently,most wave energy research has targeted sea areas with high power density under extreme wave conditions for *** trend often leads to higher energy costs for wave power ***,many marine areas with low power density,characterized by wavelet conditions and less destructive forces than extreme wave conditions,remain ***,this study aimed to propose a wave-activated body model for sea regions with wavelet *** wave-activated body design process encompassed site selection,parameter determination,geometry design,comparison and performance evaluation using the ANSYS®AQWA *** results indicated that the proposed device achieved the desired heave motion,with an amplitude range of 1.2 to-2.5 m,validating its potential for deployment in marine regions with wavelet ***,while the proposed design is optimized for wavelet conditions,it was found to have potential limitations in extreme wave *** observation emphasizes the challenge of formulating a generalized design suitable for both ***,it is pivotal for wave-activated body designs to be customized based on the specific ocean conditions they target,underscoring the need for specialized designs of wave energy converters that consider the unique wave characteristics of their deployment sites.

关键词： wave energy converter South China sea renewable and sustainable energy wavelet ANSYS AQWA hydrodynamic wave-activated bodies

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Kaoline-based catalyst for a high stability desulfurization of sour heavy naphtha in a three-phase oscillatory baffled reactor

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Particuology 2024年第1期84卷 249-260页

作者： hassan M.hmood Saba A.Gheni Safaa M.R.Ahmed Mudheher M.Ali hamid Yonis Saleh mohammed h.mohammed Awad E.mohammed Marwan A.Mahomood hiba R.mohammed Ahmed A.hassan Adam harvey North Refineries Company Ministry of OilIraq Chemical Engineering Department Tikrit UniversityIraq Ministry of Oil Iraq AL-hawija Technical Institute Northern Technical UniversityMoselIraq School of Engineering Newcastle UniversityUK

To meet the rapidly increasing demand for energy and the dramatic depletion of conventional crude oil,it is imperative to utilize sour *** no coke being produced,oxidative desulfurization(ODS)of naphtha lowers its sulfur content and average molecular *** this article,we outline a method for heavy naphtha non-extractive ODS using a very stable *** technique involves the use of a solid catalyst with oxygen gas as the *** necessitated relatively high mixing intensities;hence a three-phase Oscillatory Baffled Reactor(OBR)was *** catalyst was based on the zeolite ZSM-5,prepared from natural kaolin by a series of delamination and activation steps and impregnated with Fe.A TiO2 nanolayer was applied,using the sol-gel method,to prevent rapid *** reactor performance was evaluated to minimize the sulfur content in the naphtha *** to the protective coating,the sulfur conversion stabilized at 90%.The results of this work establish the use of natural clay-based catalysts in a continuous,three-phase ODS,particularly with regard to proving long-term *** also showed that modest ODS can be achieved using an environmentally friendly oxidant,at mild operating conditions,whilst maintaining stability.

关键词： Natural kaoline Desulfurization Three-phase Oscillatory baffled reactor

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GraphFlow+:Exploiting Conversation Flow in Conversational Machine Comprehension with Graph Neural Networks

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Machine Intelligence Research 2024年第2期21卷 272-282页

作者： jing hu Lingfei Wu Yu Chen Po hu mohammed j.Zaki School of Computer Science Central China Normal UniversityWuhan 430079China Pinterest San Francisco 94016USA Meta Mountain View 94039USA Rensselaer Polytechnic Institute Troy 12180USA

The conversation machine comprehension(MC)task aims to answer questions in the multi-turn conversation for a single ***,recent approaches don’t exploit information from historical conversations effectively,which results in some references and ellipsis in the current question cannot be *** addition,these methods do not consider the rich semantic relationships between words when reasoning about the passage *** this paper,we propose a novel model GraphFlow+,which constructs a context graph for each conversation turn and uses a unique recurrent graph neural network(GNN)to model the temporal dependencies between the context graphs of each ***,we exploit three different ways to construct text graphs,including the dynamic graph,static graph,and hybrid graph that combines the *** experiments on CoQA,QuAC and DoQA show that the GraphFlow+model can outperform the state-of-the-art approaches.

关键词： Conversational machine comprehension(MC) reading comprehension question answering graph neural networks(GNNs) natural language processing(NLP)

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Phishing Attacks Detection Using EnsembleMachine Learning Algorithms

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Computers, Materials & Continua 2024年第7期80卷 1325-1345页

作者： Nisreen Innab Ahmed Abdelgader Fadol Osman mohammed Awad mohammed Ataelfadiel Marwan Abu-Zanona Bassam Mohammad Elzaghmouri Farah h.Zawaideh Mouiad Fadeil Alawneh Department of Computer Science and Information Systems College of Applied SciencesAlmaarefa UniversityDiriyahRiyadh13713Saudi Arabia Applied College King Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Management Information Systems College of Business AdministrationKing Faisal UniversityAl-Ahsa31982Saudi Arabia Department of Computer Science Faculty of Computer Science and Information TechnologyJerash UniversityJerash26110Jordan Department of Business Intelligence and Data Analysis Faculty of Financial Sciences and BusinessIrbid National UniversityIrbid21110Jordan Faculty of Information Technology Ajloun National UniversityAjloun26767Jordan

Phishing,an Internet fraudwhere individuals are deceived into revealing critical personal and account information,poses a significant risk to both consumers and web-based *** indicates a persistent rise in phishing ***,these fraudulent schemes are progressively becoming more intricate,thereby rendering them more challenging to ***,it is imperative to utilize sophisticated algorithms to address this *** learning is a highly effective approach for identifying and uncovering these harmful *** learning(ML)approaches can identify common characteristics in most phishing *** this paper,we propose an ensemble approach and compare it with six machine learning techniques to determine the type of website and whether it is normal or not based on two phishing *** that,we used the normalization technique on the dataset to transform the range of all the features into the same *** findings of this paper for all algorithms are as follows in the first dataset based on accuracy,precision,recall,and F1-score,respectively:Decision Tree(DT)(0.964,0.961,0.976,0.968),Random Forest(RF)(0.970,0.964,0.984,0.974),Gradient Boosting(GB)(0.960,0.959,0.971,0.965),XGBoost(XGB)(0.973,0.976,0.976,0.976),AdaBoost(0.934,0.934,0.950,0.942),Multi Layer Perceptron(MLP)(0.970,0.971,0.976,0.974)and Voting(0.978,0.975,0.987,0.981).So,the Voting classifier gave the best *** in the second dataset,all the algorithms gave the same results in four evaluation metrics,which indicates that each of them can effectively accomplish the prediction ***,this approach outperformed the previous work in detecting phishing websites with high accuracy,a lower false negative rate,a shorter prediction time,and a lower false positive rate.

关键词： Social engineering attacks phishing attacks machine learning security artificial intelligence

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Exploring public perception and willingness to pay for a renewable source of energy:evidence from an emerging economy of renewable-energy development

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Clean Energy 2024年第2期8卷 177-188页

作者： mohammed j.K.Bashir Senadjki Abdelhak Wael A.Salah Mai Abuhelwa School of Engineering&Technology Central Queensland University120 Spencer St.MelbourneQLD 3000Australia Faculty of Business and Finance Universiti Tunku Abdul RahmanKamparPerakMalaysia Department of Electrical Engineering College of Engineering and TechnologyPalestine Technical University-KadooriePO Box 7Yafa StreetTulkarmPalestine Department of Electrical Engineering and Computer Science University of MissouriColumbiaMO 65211USA

The study focuses on the transition from conventional energy sources to sustainable renewable energy(RE)in Palestine,particularly in the West Bank and Gaza *** research aims to understand the relationship between key factors and residents’willingness to invest in the RE sector,with a specific focus on the impact of *** the unified theory of acceptance and use of technology,the study analyzes data from 400 residents through a questionnaire and employs ordinary least-squares regression analysis with Eviews *** key findings indicate that residents’inclination to invest in RE is significantly influenced by factors such as resource availability,knowledge level and power ***,the study suggests that educated residents are more likely to invest in RE when factors such as knowledge,effort expectation,enabling conditions and resource availability are relatively *** conclusion emphasizes the importance of policymakers’allocating sufficient funds to research and development to promote technological innovation in RE sources,thereby enhancing the population’s energy efficiency.

关键词： renewable energy technology energy security public perceptions sustainable development

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Predicting potential invasion risks of Leucaena leucocephala(Lam.)de Wit in the arid area of Saudi Arabia

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journal of Arid Land 2024年第7期16卷 983-999页

作者： haq S MARIFATUL Darwish mohammed Waheed MUhAMMAD Kumar MANOj Siddiqui h MANZER Bussmann W RAINER Department of Ethnobotany Institute of BotanyIlia State UniversityTbilisi 0162Georgia The Centre of Excellence on Sustainable Land Management(CoE-SLM) Indian Council of Forestry Research and EducationDehradun 248006India Department of Botany and Microbiology College of ScienceKing Saud UniversityRiyadh 11451Saudi Arabia Department of Botany State Museum for Natural HistoryKarlsruhe 76133Germany

The presence of invasive plant species poses a substantial ecological impact,thus comprehensive evaluation of their potential range and risk under the influence of climate change is *** study uses maximum entropy(MaxEnt)modeling to forecast the likelihood of Leucaena leucocephala(Lam.)de Wit invasion in Saudi Arabia under present and future climate change *** the MaxEnt modeling,we integrated climatic and soil data to predict habitat suitability for the invasive *** conducted a detailed analysis of the distribution patterns of the species,using climate variables and ecological *** focused on the important influence of temperature seasonality,temperature annual range,and precipitation *** distribution modeling used robust measures of area under the curve(AUC)and receiver-operator characteristic(ROC)curves,to map the invasion extent,which has a high level of accuracy in identifying appropriate *** complex interaction that influenced the invasion of *** was highlighted by the environmental parameters using jackknife ***,the actual geographic area where *** was found in Saudi Arabia was considerably smaller than the theoretical maximum range,suggesting that it had the capacity to expand *** MaxEnt model exhibited excellent prediction accuracy and produced reliable results based on the data from the ROC *** and temperature were the primary factors influencing the potential distribution of ***,an estimated area of 216,342 km^(2)in Saudi Arabia was at a high probability of invasion by *** investigated the potential for increased invasion hazards in the future due to climate change scenarios(Shared Socioeconomic Pathways(SSPs)245 and 585).The analysis of key climatic variables,including temperature seasonality and annual range,along with soil properties such as clay composition and nitrogen content,unveiled their substanti

关键词： area under the curve invasive species invasion risks climate change MaxEnt model

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Biosynthesized CS-MgO/zeolite hybrid material:An efficient adsorbent for chlorpyrifos removal-Kinetic studies and response surface methodology

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Emerging Contaminants 2024年第3期10卷 304-317页

作者： mohammed T.M.h.hamad Belal N.A.Mahran Central Laboratory for Environmental Quality Monitoring National Water Research CenterEgypt

The prevalence of organophosphate pesticides in aquatic environments raises severe concerns on a global ***,an insecticide,is included in a class of organophosphate *** is widely used on agricultural lands to control pests in cotton,fruit,and *** acute toxicity of chlorpyrifos is still dangerous to all aquatic living *** the treatment of water contaminated with chlorpyrifos is an important *** recent decade has witnessed adsorption technology emerging as an advanced organophosphate pesticide wastewater treatment with great potential and a grand blueprint,in which the specific surface area and active sites of the adsorbent are considered to be the two most important characteristics largely impacting the adsorption *** this study,a CS-MgO/Zeolite composite was prepared by the microbial method as an effective adsorbent for the removal of chlorpyrifos from an aqueous *** adsorbent's properties were carefully characterized using Xray diffraction,scanning electron microscopy,and Fourier-transform infrared *** refinement of experimental conditions,encompassing variations in adsorbent dosage,contact time,and chlorpyrifos concentration at five discrete levels,was systematically undertaken through the utilization of a composite central design rooted in response surface *** solution ph played a key role in chlorpyrifos removal,and a ph of 7.0 was selected according to its high adsorption *** highest removal(80.9%)of chlorpyrifos by CS-MgO/Zeolite was obtained at an optimum ph of 7,a contact time of 40 min,an adsorbent dosage of 0.4 g/L,and a chlorpyrifos concentration of 5 mg/L^(-1).The adsorption results were highly fitted with the Freundlich adsorption isotherm model,and the maximum adsorption was 83.3 mg/*** studies indicate that the removal of chlorpyrifos followed the pseudo-secondorder model of adsorption(0.994).The thermodynamic parameters indicate the sponta

关键词： Chlorpyrifos adsorption CS-MgO/Zeolite Response surface methodology

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Threshold-Based Software-Defined Networking(SDN)Solution for healthcare Systems against Intrusion Attacks

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Computer Modeling in Engineering & Sciences 2024年第2期138卷 1469-1483页

作者： Laila M.halman mohammed j.F.Alenazi Department of Computer Engineering College of Computer ScienceKing Saud UniversityRiyadh11451Saudi Arabia

The healthcare sector holds valuable and sensitive *** amount of this data and the need to handle,exchange,and protect it,has been increasing at a fast *** to their nature,software-defined networks(SDNs)are widely used in healthcare systems,as they ensure effective resource utilization,safety,great network management,and *** this sector,due to the value of thedata,SDNs faceamajor challengeposed byawide range of attacks,such as distributed denial of service(DDoS)and probe *** attacks reduce network performance,causing the degradation of different key performance indicators(KPIs)or,in the worst cases,a network failure which can threaten human *** can be significant,especially with the current expansion of portable healthcare that supports mobile and wireless devices for what is called mobile health,or *** this study,we examine the effectiveness of using SDNs for defense against DDoS,as well as their effects on different network KPIs under various *** propose a threshold-based DDoS classifier(TBDC)technique to classify DDoS attacks in healthcare SDNs,aiming to block traffic considered a hazard in the form of a DDoS *** then evaluate the accuracy and performance of the proposed TBDC *** technique shows outstanding performance,increasing the mean throughput by 190.3%,reducing the mean delay by 95%,and reducing packet loss by 99.7%relative to normal,with DDoS attack traffic.

关键词： Network resilience network management attack prediction software defined networking(SDN) distributed denial of service(DDoS) healthcare

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射孔密度分布对水平井生产动态的影响

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石油勘探与开发 2024年第2期51卷 409-417页

作者： KAREEM hasanain j hASINI hasril ABDULWAhID mohammed A 马来西亚国家能源大学工程学院机械工程系马来西亚加影43000 马来西亚国家能源大学可持续工程研究院马来西亚加影43000 南方工业大学热能工程系伊拉克巴士拉市61001

针对水平井产量受水平井井筒射孔密度分布影响的问题,建立两种水平井射孔密度分布模式(即分别增大井筒入口段和出口段射孔密度)下的数值模型对水平井两相流动进行模拟;将模拟结果与实验结果进行对比,验证本研究数值模拟方法的可靠性,在... 详细信息

针对水平井产量受水平井井筒射孔密度分布影响的问题,建立两种水平井射孔密度分布模式(即分别增大井筒入口段和出口段射孔密度)下的数值模型对水平井两相流动进行模拟;将模拟结果与实验结果进行对比,验证本研究数值模拟方法的可靠性,在此基础上采用数值模拟研究两种射孔密度分布模式下井筒各流型阶段总压降、气水两相流体表观速度、空隙率、液膜厚度和产气量、产液量的变化规律。研究表明,当水相流量保持不变时,随着空气流量的增加,总压降、气水两相流体表观速度增大,空隙率增加,液膜厚度减小;相较于增大出口段射孔密度,当入口段射孔密度增大时,产液量和产气量均增加,且产气量随着气体流量增加而增大;产液量在泡状流阶段增加,而达到弹状流—分层流过渡点后开始降低,进入分层波状流阶段后产液量开始增加;无因次产液量在增大井筒入口段射孔密度的模式下更大,且随着径向气相流量的增加而增大。

关键词：水平井两相流流型射孔密度井筒压降空隙率生产动态

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