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Advances in reduction of NO_x and N_2O emission formation in an oxy-fired fluidized bed boiler

Chinese Journal of Chemical Engineering 2019年第2期27卷 426-443页

作者： khalid el sheikh Mohammad Jakir Hossain Khan Mahar Diana Hamid Siddhartha Shrestha Brahim Si Ali G.A.Ryabov Lya A.Dolgushin Mohd Azlan Hussain Tatiana V.Bukharkina elena A.Gorelova Dmitry Mendeleev University of Chemical Technology of Russia Department of Chemical Engineering Faculty of Engineering University of Malaya Laboratory for Simulation and Modelling of Particulate Systems Department of Chemical Engineering Monash University All-Russian Thermal Engineering Institute VTI

Fossil fuel combustion is one of the major means to meet the mounting global energy demand. However, the increasing NO_x and N_2 O emissions arising from fossil fuel combustion process have hazardous effects. Thus, mitigating these gases is vital to attain a sustainable environment. Interestingly, oxy-fuel combustion in fluidized bed for carbon capture and minimized NO_x emissions is strongly sustainable compare to the other approaches. It was assessed that NO_x formation and fuel-N conversion have significant limitation under oxy-fluidized bed compared to air mode and the mechanism of NO_x formation is still deficient and requires further development. In addition, this review paper discussed the potential of primary measure as low emission process with others supplementary techniques for feasible NO_x reduction. The influences of combustion mode, operating parameters, and reduction techniques such as flue gas recirculation, oxygen staging, biomass co-firing, catalyst, influence of fluidized bed design and structure, decoupling combustion and their merges are respectively evaluated. Findings show that significant minimization of NO_x emission can be achieved through combination of primary and secondary reduction techniques.

关键词： Oxy-fuel combustion Fluidized bed technology Biomass blend Primary/secondary measures NOx emission

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Adaptive Backstepping Control Design for Semi-Active Suspension of Half-Vehicle With Magnetorheological Damper

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IEEE/CAA Journal of Automatica Sinica 2021年第3期8卷 582-596页

作者： khalid el Majdoub Fouad Giri Fatima-Zahra Chaoui Department of electrical Engineering University Hassan IIFaculty of Science and TechnologyMohammedia 20030Morocco Department of electrical Engineering University de Caen NormandieCaen 14032France Department of electrical Engineering University Mohamed VRabat 10000Morocco

This paper investigates the problem of controlling half-vehicle semi-active suspension system involving a magnetorheological(MR)*** features a hysteretic behavior that is presently captured through the nonlinear Bouc-Wen *** control objective is to regulate well the heave and the pitch motions of the chassis despite the road *** difficulty of the control problem lies in the nonlinearity of the system model,the uncertainty of some of its parameters,and the inaccessibility to measurements of the hysteresis internal state *** Lyapunov control design tools,we design two observers to get online estimates of the hysteresis internal states and a stabilizing adaptive state-feedback *** whole adaptive controller is formally shown to meet the desired control *** theoretical result is confirmed by several simulations demonstrating the supremacy of the latter compared to the skyhook control and passive suspension.

关键词： Adaptive control backstepping control Bouc-Wen model half vehicle model magnetorheological(MR)damper semiactive suspension skyhook control state observation

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TWO DISJOINT AND INFINITE SETS OF SOLUTIONS FOR AN elLIPTIC EQUATION INVOLVING CRITICAL HARDY-SOBOLEV EXPONENTS

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Acta Mathematica Scientia 2023年第5期43卷 2061-2074页

作者： khalid BOUABID Rachid ECHARGHAOUI Mohssine el MANSOUR Department of Mathematics Faculty of SciencesIbn Tofail UniversityKenitraB.P.133Morocco

In this paper,by an approximating argument,we obtain two disjoint and infinite sets of solutions for the following elliptic equation with critical Hardy-Sobolev exponents■whereΩis a smooth bounded domain in RN with 0∈?Ωand all the principle curvatures of?Ωat 0 are negative,a∈C1(Ω,R*+),μ>0,02(q+1)/(q-1).By2*:=2N/(N-2)and 2*(s):(2(N-s))/(N-2)we denote the critical Sobolev exponent and Hardy-Sobolev exponent,respectively.

关键词： Laplacien critical Sobolev-Hardy exponent critical Sobolev exponent infinitely many solutions Pohozaev identity

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Existence results and behavior analysis for nonlinear age-dependent population dynamics problems with conformable fractional operator

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International Journal of Biomathematics 2024年第5期17卷 229-256页

作者： Hiba el Asraoui M'hamed el Omari Ali el Mfadel khalid Hilal Laboratory of Applied Mathematics Scientific Computing Sultan Moulay Slimane University BP 523 Beni MellalMorocco

In this paper,we investigate the existence of solutions and analyze the large-time behavior for Gurtin-Maccamy population model involving conformable fractional *** a preliminary step,we construct a generic structure of the solution associated with our proposed model by utilizing some basic properties and tools of conformable fractional *** establish the existence of a unique solution of the given model with the given initial *** last,by using the upper and lower solutions for the characteristic equation,we define the upper and lower boundaries for the obtained solution and describe the large-time behavior of the total population.

关键词： Age-dependent population conformable fractional operator upper and lower boundary of the solution dynamics of populations

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An Efficient Hybrid Model for Arabic Text Recognition

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Computers, Materials & Continua 2023年第2期74卷 2871-2888页

作者： Hicham Lamtougui Hicham el Moubtahij Hassan Fouadi khalid Satori LIIAN Laboratory Faculty of Sciences Dhar-MahrazFez30000Morocco Modeling Systems and Technologies of Information TeamUniversity of Ibn ZohrAgadir

In recent years,Deep Learning models have become indispensable in several fields such as computer vision,automatic object recognition,and automatic natural language *** implementation of a robust and efficient handwritten text recognition system remains a challenge for the research community in this field,especially for the Arabic language,which,compared to other languages,has a dearth of published *** this work,we presented an efficient and new system for offline Arabic handwritten text *** new approach is based on the combination of a Convolutional Neural Network(CNN)and a Bidirectional Long-Term Memory(BLSTM)followed by a Connectionist Temporal Classification layer(CTC).Moreover,during the training phase of the model,we introduce an algorithm of data augmentation to increase the quality of *** proposed approach can recognize Arabic handwritten texts without the need to segment the characters,thus overcoming several problems related to this *** train and test(evaluate)our approach,we used two Arabic handwritten text recognition databases,which are IFN/ENIT and *** Experimental results show that our new approach,compared to other methods in the literature,gives better results.

关键词： Deep learning arabic handwritten text recognition convolutional neural network(CNN) bidirectional long-term memory(BLSTM) connectionist temporal classification(CTC)

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Evaluation of Landsat 8 image pansharpening in estimating soil organic matter using multiple linear regression and artificial neural networks

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Geo-Spatial Information Science 2022年第3期25卷 353-364页

作者： Abdelkrim Bouasria khalid Ibno Namr Abdelmejid Rahimi el Mostafa Ettachfini Badr Rerhou Faculty of Sciences Chouaib Doukkali UniversityEl JadidaMorocco Agricultural Development Department Doukkala Regional Agricultural Development OfficeEl JadidaMorocco Soil Science Department Hassan II Agronomic and Veterinary InstituteRabatMorocco

In agricultural systems,the regular monitoring of Soil Organic Matter(SOM)dynamics is *** task is costly and time-consuming when using the conventional method,especially in a very fragmented area and with intensive agricultural activity,such as the area of Sidi *** study area is located in the Doukkala irrigated perimeter in *** data can provide an alternative and fill this gap at a low *** to predict SOM from a satellite image,whether linear or nonlinear,have shown considerable *** study aims to compare SOM prediction using Multiple Linear Regression(MLR)and Artificial Neural Networks(ANN).A total of 368 points were collected at a depth of 0-30 cm and analyzed in the *** image at 15 m resolution(MSPAN)was produced from a 30 m resolution(MS)Landsat-8 image using image pansharpening processing and panchromatic band(15 m).The results obtained show that the MLR models predicted the SOM with(training/validation)R^(2)values of 0.62/0.63 and 0.64/0.65 and RMSE values of 0.23/0.22 and 0.22/0.21 for the MS and MSPAN images,*** contrast,the ANN models predicted SOM with R2 values of 0.65/0.66 and 0.69/0.71 and RMSE values of 0.22/0.10 and 0.21/0.18 for the MS and MSPAN images,*** pansharpening improved the prediction accuracy by 2.60%and 4.30%and reduced the estimation error by 0.80%and 1.30%for the MLR and ANN models,respectively.

关键词： Digital soil mapping soil organic matter remote sensing multiple linear regression artificial neural networks irrigated area Doukkala Morocco

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Direct torque control of doubly fed induction motor using three-level NPC inverter

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Protection and Control of Modern Power Systems 2019年第1期4卷 208-216页

作者： Najib el Ouanjli Aziz Derouich Abdelaziz el Ghzizal Mohammed Taoussi Youness el Mourabit khalid Mezioui Badre Bossoufi Laboratory of Production Engineering Energy and Sustainable DevelopmentHigher School of TechnologySidi Mohamed Ben Abdellah UniversityFezMorocco Laboratory of Systems Integration and Advanced Technologies Faculty of Sciences Dhar El MahrazSidi Mohamed Ben Abdellah UniversityFezMorocco Laboratory of electrical Engineering and Maintenance ESTO School of TechnologyUniversity Mohammed IOujdaMorocco

This article presents the direct torque control (DTC) strategy for the doubly fed induction motor (DFIM) connected to two three-level voltage source inverters (3LVSIs) with neutral point clamped (NPC) structure. This control method allows to reduce the torque and flux ripples as well as to optimize the total harmonic distortion (THD) of motor currents. The use of 3LVSI increases the number of generated voltage, which allows improving the quality of its waveform and thus improves the DTC strategy. The system modeling and control are implemented in Matlab/Simulink environment. The analysis of simulation results shows the better performances of this control, especially in terms of torque and flux behavior, compared to conventional DTC.

关键词： Direct torque control Doubly fed induction motor Three-level inverter Ripples Switching table

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3D Face Reconstruction Using Images from Cameras with Varying Parameters

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International Journal of Automation and computing 2017年第6期14卷 661-671页

作者： Mostafa Merras Soulaiman el Hazzat Abderrahim Saaidi khalid Satori Abderrazak Gadhi Nazih LIIAN Department of Mathematics and Computer ScienceFaculty of SciencesDhar-MahrazSidi Mohamed Ben Abdellah UniversityB.P 1796 Atlas-FezMorocco LIIAN Department of Mathematics and Computer ScienceFaculty of SciencesDhar-MahrazSidi Mohamed Ben Abdellah UniversityB.P 1796 Atlas-FezMorocco LSI Department of MathematicsPhysics and Computer SciencePolydisciplinary Faculty of TazaSidi Mohamed Ben Abdellah UniversityB.P 1223 TazaMorocco

In this paper, we present a new technique of 3D face reconstruction from a sequence of images taken with cameras having varying parameters without the need to grid. This method is based on the estimation of the projection matrices of the cameras from a symmetry property which characterizes the face, these projections matrices are used with points matching in each pair of images to determine the 3D points cloud, subsequently, 3D mesh of the face is constructed with 3D Crust algorithm. Lastly, the 2D image is projected on the 3D model to generate the texture mapping. The strong point of the proposed approach is to minimize the constraints of the calibration system： we calibrated the cameras from a symmetry property which characterizes the face, this property gives us the opportunity to know some points of 3D face in a specific well-chosen global reference, to formulate a system of linear and nonlinear equations according to these 3D points, their projection in the image plan and the elements of the projections matrix. Then to solve these equations, we use a genetic algorithm which consists of finding the global optimum without the need of the initial estimation and allows to avoid the local minima of the formulated cost function. Our study is conducted on real data to demonstrate the validity and the performance of the proposed approach in terms of robustness, simplicity, stability and convergence.

关键词： Camera calibration genetic algorithm 3D face 3D mesh 3D reconstruction

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Exact Solution of Space-Time Fractional Coupled EW and Coupled MEW Equations Using Modified Kudryashov Method

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Communications in Theoretical Physics 2017年第7期67卷 49-56页

作者： K. R. Raslan Talaat S. el-Danaf khalid K. Ali Mathematics Department Faculty of Science Al-Azhar University Mathematics Department Faculty of Science Ai-Azhar University Nasr City 11884 Cairo Egypt Faculty of Science Menoufia University Shebein E1-Koom Egypt

In the present paper, we established a traveling wave solution by using modified Kudryashov method for the space-time fractional nonlinear partial differential equations. The method is used to obtain the exact solutions for different types of the space-time fractional nonlinear partial differential equations such as, the space-time fractional coupled equal width wave equation(CEWE) and the space-time fractional coupled modified equal width wave equation(CMEW), which are the important soliton equations. Both equations are reduced to ordinary differential equations by the use of fractional complex transform and properties of modified Riemann–Liouville derivative. We plot the exact solutions for these equations at different time levels.

关键词： fractional coupled EW fractional coupled MEW equations modified Kudryashov method

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Optimized Weighted Ensemble Using Dipper Throated Optimization Algorithm in Metamaterial Antenna

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Computers, Materials & Continua 2022年第12期73卷 5771-5788页

作者： Doaa Sami Khafaga el-Sayed M.el-kenawy Faten khalid Karim Sameer Alshetewi Abdelhameed Ibrahim Abdelaziz AAbdelhamid Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt General Information Technology Department Ministry of DefenseThe Executive AffairsExcellence Services DirectorateRiyadh11564Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia

Metamaterial Antennas are a type of antenna that uses metamaterial to enhance *** bandwidth restriction associated with small antennas can be solved using metamaterial *** learning is gaining popularity as a way to improve solutions in a range of *** learning approaches are currently a big part of current research,and they’re likely to be huge in the *** model utilized determines the accuracy of the prediction in large *** goal of this paper is to develop an optimized ensemble model for forecasting the metamaterial antenna’s bandwidth and *** basic models employed in the developed ensemble are Support Vector Regression(SVR),K-NearestRegression(KNR),Multi-Layer Perceptron(MLP),Decision Trees(DT),and Random Forest(RF).The percentages of contribution of these models in the ensemble model are weighted and optimized using the dipper throated optimization(DTO)*** choose the best features from the dataset,the binary(bDTO)algorithm is *** proposed ensemble model is compared to the base models and results are recorded and analyzed *** addition,two other ensembles are incorporated in the conducted experiments for *** ensembles are average ensemble and K-nearest neighbors(KNN)-based *** comparison is performed in terms of eleven evaluation *** evaluation results confirmed the superiority of the proposed model when compared with the basic models and the other ensemble models.

关键词： Metamaterial antenna dipper throated optimization feature selection parameters prediction

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