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Existence of traveling wave solutions for a nonlinear dissipative-dispersive equation

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Applied Mathematics and Mechanics(English Edition) 2009年第4期30卷 513-516页

作者： M.B.A.mansour Mathematics Department Faculty of Science at Qena South Valley University

in this paper, we consider a dissipative-dispersive nonlinear equation appliable to many physi.al phenomena. Using the geometric singular perturbation method based on the theory of dynami.al systems, we investigate the existence of its traveling wave solutions with the dissipative terms having sufficiently small coefficients. The results show that the traveling waves exist on a two-dimensional slow manifold in a three-dimensional system of ordinary differential equations （ODEs）. Then, we use the Melnikov method to establish the existence of a homoclinic orbit in this manifold corresponding to a solitary wave solution of the equation. Furthermore, we present some numeri.al computations to show the approximations of such wave orbits.

关键词： dissipative-dispersive equation singular perturbations traveling waves

Artificial intelligence-Driven FVM-ANNModel for Entropy Analysis ofMHD Natural Bioconvection in Nanofluid-Filled Porous Cavities

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Frontiers in Heat and Mass Transfer 2024年第5期22卷 1277-1307页

作者： Noura alsedais Mohamed Ahmed mansour Abdelraheem M.aly Sara i.Abdelsalam Department of Mathemati.al Sciences College of SciencePrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Mathematics Department Faculty of SciencesAssiut UniversityAssiut71515Egypt Department of Mathematics College of ScienceKing Khalid UniversityAbha62529Saudi Arabia Basic Science Faculty of EngineeringThe British University in EgyptAl-Shorouk CityCairo11837Egypt instituto de Ciencias Matemáticas iCMAT CSICUAMUCMUC3MMadrid28049Spain

The research examines fluid behavior in a porous box-shaped *** fluid contains nanoscale particles and swimming microbes and is subject to magnetic forces at an *** circulation driven by biologi.al factors is *** analysis combines a traditional numeri.al approach with machine learning *** equations describing the system are transformed into a dimensionless form and then solved using computational *** artificial neural network(ANN)model,trained with the Levenberg-Marquardt method,accurately predicts(Nu)values,showing high correlation(R=1),low mean squared error(MSE),and mini.al error *** analysis reveals significant effects of parameters,length and location of source(B),(D),heat generation/absorption coefficient(Q),and porosity parameter(ε).increasing the cooling area length(B)reduces streamline intensity and local Nusselt and Sherwood numbers,while decreasing isotherms,isoconcentrations,and *** Bejan number(Be+)decreases with increasing(B),whereas(Be+++),and global entropy(e+++)*** in(Q)slightly affect streamlines but reduce isotherm intensity and average Nusselt ***(D)significantly impacts isotherms,iso-concentrations,andmicro-rotation,altering streamline contours and local Bejan number ***(ε)enhances streamline strength and local Nusselt number profiles but has mixed effects on average Nusselt *** findings highlight the complex interactions between cooling area length,fluid flow,and heat transfer *** combining finite volume method(FVM)with machine learning technique,this study provides valuable insights into the complex interactions between key parameters and heat transfer,contributing to the development of more efficient designs in applications such as cooling systems,energy storage,and bioengineering.

关键词： ANN model finite volume method natural bioconvection flow magnetohydrodynamics(MHD) porous media

The Hizeh-Jan Kaolin Deposit of NW iran:the Tetrad Effect in REE Distribution Patterns

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Acta Geologica Sinica(English Edition) 2019年第1期93卷 74-87页

作者： ABEDiNi.ali REZAEi AZiZi mansour Department of Geology Faculty of Sciences Urmia University

The Hizeh-Jan kaolin deposit(northwest of Varzeghan, East-Azarbaidjan Province, NW iran) is a product of the alteration of Eocene andesitic rocks. Based on mineralogi.al examinations, kaolinite, quartz, smectite, pyrophyllite, muscovite-illite, alunite, calcite, diaspore, goethite and hematite are the most abundant mineral phases in this deposit. The geochemi.al indicators, such as Y/Ho and Zr/Hf, indicate the non-CHARAC(non-Charge-radius control) behavior of these pairs, which are likely to be due to the occurrence of the tetrad effect phenomenon in this deposit. Simultaneous concave and convex shapes in the chondrite-normalized REE distribution patterns are a remarkable feature of the kaolin samples. Bivariate diagrams of the size of the third tetrad effect(T_3) versus geochemi.al parameters such as Y/Ho, Nb/Ta and Zr/Hf ratios display two distinct populations for the kaolin samples. The first population is characterized by high T_3 values(>0.13), which are near or on the fault zone. The second population is characterized by low T_3 values(ined results from the geochemi.al data have furnished compelling evidence that fluidrock interaction, overprint of hypogene processes by supergene ones, and structural control, are key controlling factors for the occurrence of tetrad effects in REE distribution patterns in the Hizeh-Jan kaolin deposit.

关键词： REE distribution Tetrad effect Kaolin Hizeh-Jan NW iran

injury Pattern among Road Traffic Accidents’ Victims in Najran City, Saudi Arabia

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international Journal of Clini.al Medicine 2018年第4期9卷 270-280页

作者： Mahdi Yahya al-Zamanan abdullah Saleh al-Yami.ali abdullah al-Najrani mansour Yousef al-Asmari Abdulrahman alamri Manaa Awad Mohammed al-Qahtani Mohammed Helmy Faris Shalayel Abdulhadi Mohamed Elbashir Saeed ali.alsareii College of Medicine Najran University Najran Saudi Arabia Department of Surgery College of Medicine Najran University Najran Saudi Arabia Department of Surgery College of Medicine Najran University Najran Saudi Arabia Department of Family and Community Medicine College of Medicine Najran University Najran Saudi Arabia

Traffic accidents constitute the substantial cause of disability and mortality in the young Saudi individuals reaching horrible figures. The aim of this study was to review and identify the pattern of injury among road traffic accident (RTA) victims as well as the peak time of accidents and their implications. This retrospective hospi.al-based cross-sectional study was carried out in the period between April 2016 to March 2017 in King Khalid Hospi.al, Maternity and Children Hospi.al and Najran General Hospi.al, Najran, Saudi Arabia. all RTA victims admitted to the emergency departments of the pre-mentioned hospi.als. Data collected from 435 Saudis and non-Saudis’ files were statisti.ally analyzed with regard to age, gender, the timing of road traffic accidents, injury pattern, and neurologi.al deficits incidence. Most of the RTAs’ cases (92%) were male victims with the highest peak in the age group 20 - 29 years. 58% of the RTAs happened in the evening (6:00 PM-9:00 PM) while 20% occurred in the morning. Head injury represented the most frequent pattern (36%) followed by the spi.al injury (23%), lower limb injury (23%), upper limb injury (20%), thoracic injury (17%), pelvic injury and abdomi.al injury (8%). 4.4% of RTAs resulted in death whilst 9% of cases experienced neurologi.al deficits. in conclusion, young male drivers in Najran recorded the highest frequency of RTAs. initiation of road safety education and expansion of speed detectors (Saher) system deployment is highly recommended.

关键词： Road Traffic Accidents (RTA) Road Traffic injuries (RTis) Disability

Numeri.al Examination of the Effects of ion Thermal Flow on Plasma Sheath Characteristics

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Chinese Physics Letters 2013年第8期30卷 110-113页

作者： mansour Khoramabadi S.Farhad Masoudi Department of Physics Boroujerd BranchIslamic Azad UniversityP.O.Box 518BoroujerdIran Department of Physics K.N.Toosi University of TechnologyP.O.Box 15875-4416TehranIran

The effects of ion thermal flow on the electric and hydrodynamic characteristics of a plasma sheath are examined using a multi-fluid *** comparison with cold plasma,ion pressure is modeled by a power law dependence on the ion density in warm *** pressure force on the ion depends on the ion density,ion temperature,and a nearly constant parameter called the ion polytropic *** well-known quantities for this coefficient,γi=1 and 3,are considered,corresponding to isothermal and adiabatic flows,*** numeri.al calculations show that increasing the ion temperature decreases the sheath thickness and increases the ion impact energy and ion saturation current at the *** ion polytropic coefficient has the same effect as the ion temperature and intensifies the ion temperature effects.

关键词： coefficient coefficient quantities

Bubble hydrodynamic influence on oxygen transfer rate at presence of cationic and anionic surfactants in electroflotation process

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Journal of Hydrodynamics 2013年第5期25卷 747-754页

作者： KOTTi Mariam KSENTiNi issam BEN mansour Lassaad Laboratory of Applied Fluid Mechanics Process Engineering and EnvironmentScience Faculty of Sfax

in this work, the effects of the presence of surfactants in the liquid phase and the hydrodynamic regime of the bubble flow on the oxygen transfer rate were investigated in an electroflotation process in batch mode. The volumetric mass transfer coefficient KLα and the oxygenation capacity were evaluated to improve the performances of the electroflotation process in terms of oxygenation. in order to evaluate the liquid-side mass transfer coefficient KLα the volumetric mass transfer coefficient KLα was dissociated into KL and the specific interracial area （a） since the last one was obtained from the gas hold-up and the bubble diameter. The effect of Reynolds number which define the hydrodynamic of the bubble flow has been also studied. Models of KLa and KL have been established to show the effects of the hydrodynamic parameters and liquid phase characteristics on the oxygen transfer rate.

关键词： electroflotation mass transfer coefficient hydrodynamic parameters surfactant

Microstructural features of flower like Fe brushite

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Progress in Natural Science:Materials international 2017年第4期27卷 520-526页

作者： S.i.El-dek S.F.mansour M.A.Ahmed M.K.Ahmed Materials Science and Nanotechnology Department Faculty of Post Graduate Studies for Advanced Science Beni-Suef University Physics Department Faculty of ScienceZagazig University Materials Science Lab(1) Physics Department Faculty of Science Cairo University

The iron doped brushite(Fe-DCPD) nano particles were synthesized via co-precipitation method with Fe concentrations(0 ≤x≤ 1) in steps 0.2. The influence of iron concentration on the crystallinity, particle shape,morphology, opti.al, magnetic and electri.al properties was investigated. The results showed that iron doping content is the crucial factor in the variation of physi.al properties. The particle shape changed from spheres at x=0.2 to be fiber network at x = 0.8. The saturation magnetization(Ms) increased from 0.4(emu/g) at x = 0.2 to 1.6(emu/g) at x = 0.8 which is considered more than four times with a considerable decrease of coercive field.

关键词： Bioceramic Calcium phosphate Brushite Fe brushite Magnetic hydroxyapatite

Dynamic Modeling and Closed-loop Control of Hybrid Grid-connected Renewable Energy System with Multi-input Multi-output Controller

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Journal of Modern Power Systems and Clean Energy 2021年第1期9卷 94-103页

作者： Mahdi Salimi Fereshteh Radmand mansour Hosseini Firouz the Department of Electri.al Engineering Ardabil BranchIslamic Azad UniversityArdabilIran

in this study, a novel approach for dynamic modeling and closed-loop control of hybrid grid-connected renewable energy system with multi-input multi-output(MiMO) controller is proposed. The studied converter includes two parallel DC-DC boost converters, which are connected into the power grid through a single-phase H-bridge inverter. The proposed MiMO controller is developed for maximum power point tracking of photovoltaic(PV)/fuel-cell(FC) input power sources and output power control of the grid-connected DC-AC inverter. Considering circuit topology of the system, a unique MiMO model is proposed for the analysis of the entire system. A unique model of the system includes all of the circuit state variables in DCDC and DC-AC converters. in fact, from the viewpoint of closed-loop controller design, the hybrid grid-connected energy system is an MiMO system. The control inputs of the system are duty cycles of the DC-DC boost converters and the amplitude modulation index of DC-AC inverters. Furthermore, the control outputs are the output power of the PV/FC input power sources as well as AC power injected into the power grid. After the development of the unique model for the entire system, a decoupling network is introduced for system input-output linearization due to inherent connection of the control outputs with all of the system inputs. Considering the decoupled model and small signal linearization, the required linear controllers are designed to adjust the outputs. Fi.ally, to evaluate the accuracy and effectiveness of the designed controllers, the PV/FC based grid-connected system is simulated using the MATLAB/Simulink toolbox.

关键词： Multi-input multi-output(MiMO)converter maximum power point tracking grid-connected inverter conversion function matrix

Disaster Monitoring of Satellite image Processing Using Progressive image Classification

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Computer Systems Science & Engineering 2023年第2期44卷 1161-1169页

作者： Romany F.mansour Eatedal alabdulkreem Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt Department of Computer Science College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia

The analysis of remote sensing image areas is needed for climate detec-tion and management,especially for monitoringﬂood disasters in criti.al environ-ments and *** are mostly used to detect disasters on Earth,and they have advantages in capturing Earth *** the control technique,Earth images can be used to obtain detailed terrain *** the acquisi-tion of satellite and aerial imagery,this system has been able to detectﬂoods,and with increasing convenience,ﬂood detection has become more desirable in the last few *** this paper,a Big Data Set-based Progressive image Classiﬁcation algorithm(PiCA)system is introduced to implement an image processing tech-nique,detect disasters,and determine results with the help of the PiCA,which allows disaster analysis to be extracted more *** PiCA is essential to overcoming strong shadows,for proper access to disaster characteristics to false positives by operators,and to false predictions that affect the impact of the *** PiCA creates tailoring and adjustments obtained from satellite images before training and post-disaster aerial image data *** types of proposed PiCA systems detect disasters faster and more accurately(95.6%).

关键词： Clustering segmentation progressive image classiﬁcation algorithm satellite image disaster detection