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Journal of Partial Differential Equations 2023年第2期36卷 203-219页

作者： EL OUAARABI Mohamed ALLALOU Chakir MELLIANI said Applied Mathematics and Scientific Computing Laboratory Faculty of Sciences and TechniquesSultan Moulay Slimane UniversityBeni MellalMorocco

In this paper,we study the existence of"weak solution"for a class of p(x)-Kirchhoff type problem involving the p(x)-Laplacian-like operator depending on two real parameters with Neumann boundary *** a topological degree for a class of demicontinuous operator of generalized(S_(+))type and the theory of the variable exponent Sobolev space,we establish the existence of"weak solution"of this problem.

关键词： p(x)-Kirchhoff type problem p(x)-Laplacian-like operator weak solution topological degree methods variable exponent Sobolev space

Managing Delivery of Safeguarding Substances as a Mitigation Against Outbreaks of Pandemics

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Computers, Materials & Continua 2021年第7期68卷 1161-1181页

作者： said Ali Hassan Khalid Alnowibet Prachi Agrawal Ali Wagdy Mohamed Department of Operations Research and Decision Support Faculty of Computers and Articial IntelligenceCairo UniversityGiza12613Egypt Department of Statistics and Operations Research College of ScienceKing Saud UniversityRiyadhSaudi Arabia Trafc Safety Technologies Chair Vice Deanship of Scientic ResearchKing Saud UniversityRiyadhSaudi Arabia Department of Mathematics and Scientic Computing National Institute of TechnologyHamirpur177005India Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza12613Egypt School of Engineering and Applied Sciences Wireless Intelligent Networks Center(WINC)Nile UniversityGizaEgypt

The optimum delivery of safeguarding substances is a major part of supply chain management and a crucial issue in the mitigation against the outbreak of pandemics.A problem arises for a decision maker who wants to optimally choose a subset of candidate consumers to maximize the distributed quantities of the needed safeguarding substances within a specic time period.A nonlinear binary mathematical programming model for the problem is *** decision variables are binary ones that represent whether to choose a specic consumer,and design constraints are formulated to keep track of the chosen *** better illustrate the problem,objective,and problem constraints,a real application case study is *** case study involves the optimum delivery of safeguarding substances to several hospitals in the Al-Gharbia Governorate in *** hospitals are selected to represent the consumers of safeguarding substances,as they are the rst crucial frontline for mitigation against a pandemic outbreak.A distribution truck is used to distribute the substances from the main store to the hospitals in specied required quantities during a given working *** objective function is formulated in order to maximize the total amount of delivered quantities during the specied time *** case study is solved using a novel Discrete Binary Gaining Sharing Knowledge-based Optimization algorithm(DBGSK),which involves two main stages:discrete binary junior and senior gaining and sharing *** has the ability of nding the solutions of the introduced problem,and the obtained results demonstrate robustness and convergence toward the optimal solutions.

关键词： Safeguarding substances mitigation against pandemic outbreaks supply chain management metaheuristic optimization

Subspace Clustering in High-Dimensional Data Streams:A Systematic Literature Review

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Computers, Materials & Continua 2023年第5期75卷 4649-4668页

作者： Nur Laila Ab Ghani Izzatdin Abdul Aziz said Jadid AbdulKadir Department of Computer and Information Sciences Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Centre for Research in Data Science(CeRDAS) Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia

Clustering high dimensional data is challenging as data dimensionality increases the distance between data points,resulting in sparse regions that degrade clustering *** clustering is a common approach for processing high-dimensional data by finding relevant features for each cluster in the data *** clustering methods extend traditional clustering to account for the constraints imposed by data *** streams are not only high-dimensional,but also unbounded and *** necessitates the development of subspace clustering algorithms that can handle high dimensionality and adapt to the unique characteristics of data *** many articles have contributed to the literature review on data stream clustering,there is currently no specific review on subspace clustering algorithms in high-dimensional data ***,this article aims to systematically review the existing literature on subspace clustering of data streams in high-dimensional streaming *** review follows a systematic methodological approach and includes 18 articles for the final *** analysis focused on two research questions related to the general clustering process and dealing with the unbounded and evolving characteristics of data *** main findings relate to six elements:clustering process,cluster search,subspace search,synopsis structure,cluster maintenance,and evaluation *** algorithms use a two-phase clustering approach consisting of an initialization stage,a refinement stage,a cluster maintenance stage,and a final clustering *** density-based top-down subspace clustering approach is more widely used than the others because it is able to distinguish true clusters and outliers using projected *** algorithms implicitly adapt to the evolving nature of the data stream by using a time fading function that is sensitive to *** work can focus on the clustering framework,parameter optimiza

关键词： Clustering subspace clustering projected clustering data stream stream clustering high dimensionality evolving data stream concept drift

Mitigation of sulfate reducing Desulfovibrio ferrophilus microbiologically influenced corrosion of X80 using THPS biocide enhanced by Peptide A

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Journal of Materials Science & Technology 2022年第12期107卷 43-51页

作者： Junlei Wang Hongfang Liu Magdy El-said Mohamed Mazen A.Saleh Tingyue Gu Department of Chemical and Biomolecular Engineering Institute for Corrosion and Multiphase TechnologyOhio UniversityAthensOH 45701USA School of Chemistry and Chemical Engineering Huazhong University of Science and TechnologyWuhan 430074China Research and Development Center Saudi Arabian Oil CompanyDhahran 31311Saudi Arabia

Tetrakis hydroxymethyl phosphonium sulfate(THPS) was enhanced by a 14-mer Peptide A, with its core12-mer sequence mimicking part of Equinatoxin II protein, in the mitigation of sulfate reducing Desulfovibrio ferrophilus MIC(microbiologically influenced corrosion) of X80 carbon steel. Results proved that50 ppm(w/w) THPS was sufficient to mitigate the D. ferrophilus biofilm, and its very agressive MIC(19.7mg/cm^(2) in 7 days or 1.31 mm/a), but not 20 ppm THPS. To achieve effective mitigation at a low dosage of THPS, biofilm-dispersing Peptide A was added to 20 ppm THPS in the culture medium. Sessile cell counts were reduced by 2-log and 4-log after enhancement by 10 ppb and 100 ppb Peptide A, respectively. Enhancement efficiency(further reduction in corrosion rate) reached 69% for 10 ppb Peptide A and 83% for100 ppb Peptide A compared with 20 ppm THPS alone treatment, indicating that Peptide A was a good biocide enhancer for THPS.

关键词： Microbiologically influenced corrosion Carbon steel Sulfate-reducing bacteria Biofilm Biocide

Robust direct power control based on the Lyapunov theory of a grid-connected brushless doubly fed induction generator

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Frontiers in Energy 2016年第3期10卷 298-307页

作者： M. Abdelbasset MAHBOUB said DRID M. A. SID Ridha CHEIKH LSPIE Laboratory of Propulsion-Induction Electromagnetic Department Electrical Engineering University of Bama Batna 05000 Algeria LAS Laboratory Department of Electrical Engineering Setif UniversitySetif 19000 Algeria LGEB Laboratory Department of Electrical Engineering Biskra University Biskra 07000 Algeria UDES Unit6 de Drveloppement des Equipement Solaires Centre de eveloppement des Energies Renouvelables Tipaza 42415 Algeria

This paper deals with robust direct power control of a grid-connected bmshless doubly-fed induction generator（BDFIG）. Using a nonlinear feedback lineariza- tion strategy, an attempt is made to improve the desired performances by controlling the generated stator active and reactive power in a linear and decoupled manner. There- fore, to achieve this objective, the Lyapunov approach is used associated with a sliding mode control to guarantee the global asymptotical stability. Thus, an optimal operation of the BDFIG in sub-synchronous operation is obtained as well as the stator power flows with the possibility of keeping stator power factor at a unity. The proposed method is tested with the Matlab/Simulink software. Simulation results illustrate the performances and the feasibility of the designed control.

关键词： brushless doubly fed induction generator(BDFIG) vector control Lyapunov theory power factor unity active and reactive power

Design and testing of a centralized protection scheme for micro-grids

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Journal of Central South University 2015年第10期22卷 3876-3887页

作者： Sohrab Mirsaeidi Dalila Mat said Mohammad Wazir Mustafa Mohammad Hafiz Habibuddin Kimia Ghaffari Centre of Electrical Energy Systems (CEES) Faculty of Electrical Engineering (FKE)Universiti Teknologi Malaysia (UTM) Young Researchers and Elites Club Saveh Branch Islamic Azad University

Micro-grids comprise low voltage distribution systems with distributed energy resources(DERs) and controllable loads which can operate connected to the medium voltage grid or islanded in a controlled coordinated way. This concept aims to move from "connect and forget" philosophy towards a full integration of DERs. Micro-grids can provide numerous economic and environmental benefits for end-customers, utilities and society. However, their implementation poses great technical challenges, such as a new philosophy in design of protection systems. In this work, a micro-grid protection scheme is presented based on positive-sequence component using phasor measurement units(PMUs) and a central protection unit(CPU). The salient feature of the proposed scheme in comparison with the previous works is that it has the ability to protect both radial and looped micro-grids against different types of faults with the capability of single-phase tripping. Furthermore, since the CPU is capable of updating its pickup values(upstream and downstream equivalent positive-sequence impedances of each line) after the first change in the micro-grid configuration(such as transferring from grid-connected to islanded mode and or disconnection of a line, bus, or DER either in grid-connected mode or in islanded mode), it can protect micro-grid against subsequent faults. Finally, in order to verify the effectiveness of the suggested scheme and the CPU, several simulations have been undertaken by using DIg SILENT Power Factory and MATLAB software packages.

关键词： micro-grid protection grid-connected mode islanded mode positive-sequence component

An Intelligent Decision Support System for Lung Cancer Diagnosis

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Computer Systems Science & Engineering 2023年第7期46卷 799-817页

作者： Ahmed A.Alsheikhy Yahia F.said Tawfeeq Shawly Electrical Engineering Department College of EngineeringNorthern Border UniversityArarSaudi Arabia Electrical Engineering Department Faculty of Engineering at RabighKing Abdulaziz UniversityJeddahSaudi Arabia

Lung cancer is the leading cause of cancer-related death around the *** treatment and survival rates among lung cancer patients are significantly impacted by early *** diagnostic techniques can identify and classify only one type of lung *** is crucial to close this gap with a system that detects all lung cancer *** paper proposes an intelligent decision support system for this *** system aims to support the quick and early detection and classification of all lung cancer types and subtypes to improve treatment and save *** algorithm uses a Convolutional Neural Network(CNN)tool to perform deep learning and a Random Forest Algorithm(RFA)to help classify the type of cancer present using several extracted features,including histograms and *** simulation experiments were conducted on MATLAB,evidencing that this system achieves 98.7%accuracy and over 98%precision and recall.A comparative assessment assessing accuracy,recall,precision,specificity,and F-score between the proposed algorithm and works from the literature shows that the proposed system in this study outperforms existing methods in all considered *** study found that using CNNs and RFAs is highly effective in detecting lung cancer,given the high accuracy,precision,and recall *** results lead us to believe that bringing this kind of technology to doctors diagnosing lung cancer is critical.

关键词： Lung cancer artificial intelligence CNN computer-aid diagnosis histogram image segmentation decision support systemv

Global Well-Posedness and Asymptotic Behavior for the 2D Subcritical Dissipative Quasi-Geostrophic Equation in Critical Fourier-Besov-Morrey Spaces

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Journal of Partial Differential Equations 2023年第1期36卷 1-21页

作者： AZANZAL Achraf ALLALOU Chakir MELLIANI said ABBASSI Adil Laboratory LMACS FST of Beni MellalSultan Moulay Slimane UniversityMorocco

In this paper,we study the subcritical dissipative quasi-geostrophic *** using the Littlewood Paley theory,Fourier analysis and standard techniques we prove that there exists a unique global-in-time solution for small initial data belonging to the critical Fourier-Besov-Morrey spaces FN^(3-2a+(λ-2)/p)_(p,λ,q).Moreover,we show the asymptotic behavior of the global solution v.i.e.||v(t)||FN^(3-2a+(λ-2)/p)_(p,λ,q)decays to zero as time goes to infinity.

关键词： 2D quasi-geostrophic equation subcritical dissipation Littlewood-Paley theory global well-posedness long time behavior of the solution Fourier-Besov-Morrey spaces

Metallic nanostructures for efficient LED lighting

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Light(Science & Applications) 2016年第1期5卷 778-787页

作者： Gabriel Lozano said RK Rodriguez Marc A Verschuuren Jaime Gómez Rivas Instituto de Ciencia de Materiales de Sevilla Consejo Superior de Investigaciones Científicas-Universidad de Sevilla(CSIC-US)41092 SevillaSpain Laboratoire de Photonique et de Nanostructures(LPN) Centre National de la Recherche Scientifique(CNRS)91460 MarcoussisFrance Philips Research Laboratories 5656AE EindhovenThe Netherlands Dutch Institute for Fundamental Energy Research 5600 HH EindhovenThe Netherlands COBRA Research Institute Technical University of EindhovenEindhovenThe Netherlands

Light-emitting diodes(LEDs)are driving a shift toward energy-efficient ***,modifying the emission intensities,colors and directionalities of LEDs in specific ways remains a challenge often tackled by incorporating secondary optical *** nanostructures supporting plasmonic resonances are an interesting alternative to this approach due to their strong light–matter interaction,which facilitates control over light emission without requiring external secondary optical *** review discusses new methods that enhance the efficiencies of LEDs using nanostructured *** is an emerging field that incorporates physics,materials science,device technology and ***,we provide a general overview of state-of-the-art LED lighting,discussing the main characteristics required of both quantum wells and color converters to efficiently generate white ***,we discuss the main challenges in this field as well as the potential of metallic nanostructures to circumvent *** review several of the most relevant demonstrations of LEDs in combination with metallic nanostructures,which have resulted in light-emitting devices with improved *** also highlight a few recent studies in applied plasmonics that,although exploratory and eminently fundamental,may lead to new solutions in illumination.

关键词： light-emitting diodes nanophotonics plasmonics solid-state lighting

An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security

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Big Data Mining and Analytics 2023年第3期6卷 273-287页

作者： Mouaad Mohy-Eddine Azidine Guezzaz said Benkirane Mourade Azrour Yousef Farhaoui Technology Higher School Cadi Ayyad UniversityEssaouira 44000Morocco IDMS Team Faculty of Sciences and TechniquesMoulay Ismail University of MeknesErrachidia 52000Morocco

Industrial Internet of Things(IIoT)represents the expansion of the Internet of Things(IoT)in industrial *** is designed to implicate embedded technologies in manufacturing fields to enhance their ***,IIoT involves some security vulnerabilities that are more damaging than those of ***,Intrusion Detection Systems(IDSs)have been developed to forestall inevitable harmful *** survey the environment to identify intrusions in real *** study designs an intrusion detection model exploiting feature engineering and machine learning for IIoT *** combine Isolation Forest(IF)with Pearson’s Correlation Coefficient(PCC)to reduce computational cost and prediction *** is exploited to detect and remove outliers from *** apply PCC to choose the most appropriate *** and IF are applied exchangeably(PCCIF and IFPCC).The Random Forest(RF)classifier is implemented to enhance IDS *** evaluation,we use the Bot-IoT and NF-UNSW-NB15-v2 ***-PCCIF and RF-IFPCC show noteworthy results with 99.98%and 99.99%Accuracy(ACC)and 6.18 s and 6.25 s prediction time on Bot-IoT,*** two models also score 99.30%and 99.18%ACC and 6.71 s and 6.87 s prediction time on NF-UNSW-NB15-v2,*** prove that our designed model has several advantages and higher performance than related models.

关键词： Industrial Internet of Things(IIoT) isolation forest Intrusion Detection Dystem(IDS) intrusion Pearson’s Correlation Coefficient(PCC) random forest