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Applied mathematics and mechanics(English Edition) 2014年第11期35卷 1375-1386页

作者： A.A.AFIFY m.j.uddin m.FERDOWS Department of mathematics Faculty of Science Helwan University American International University-Bangladesh Department of mathematics University of Dhaka

Taking into account the slip flow effects, Newtonian heating, and thermal radiation, two-dimensional magnetohydrodynamic （mHD） flows and heat transfer past a permeable stretching sheet are investigated numerically. We use one parameter group transformation to develop similarity transformation. By using the similarity transformation, we transform the governing boundary layer equations along with the boundary conditions into ordinary differential equations with relevant boundary conditions. The obtained ordinary differential equations are solved with the fourth-fifth order Runge-Kutta- Fehlberg method using mAPLE 13. The present paper is compared with a published one. Good agreement is obtained. Numerical results for dimensionless velocity, temperature distributions, skin friction factor, and heat transfer rates are discussed for various values of controlling parameters.

关键词： magnetohydrodynamic (mHD) heat transfer boundary layer Lie groupanalysis Newtonian heating slip flow

Electrostatic Nonplanar Positron-Acoustic Shock Waves in Superthermal Electron-Positron-Ion Plasmas

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Communications in Theoretical Physics 2015年第6期63卷 754-760页

作者： m.j.uddin m.S.Alam A.A.mamun Department of Physics Jahangirnagar University

The basic properties of the nonlinear propagation of the nonplanar （cylindrical and spherical） positronacoustic （PA） shock waves （SHWs） in an unmagnetized electron-positron-ion （e-p-i） plasma containing immobile positive ions, mobile cold positrons, and superthermal （kappa distributed） hot positrons and electrons are investigated both analytically and numerically. The modified Burgers equation （roBE） is derived by using the reductive perturbation method. The basic features of PA SHWs are significantly modified by the cold positron kinematic viscosity （U）, superthermal parameter of electrons （ke）, superthermal parameter of hot positrons （kp）, the ratio of the electron temperature to hot positron temperature （or）, the ratio of the electron number density to cold positron number density （μe）, and the ratio of the hot positron number density to cold positron number density （μph）. This study could be useful to identify the basic properties of nonlinear electrostatic disturbances in dissipative space and laboratory plasmas.

关键词： positron-acoustic waves superthermal particles Kappa distribution shock waves modified Burg-ers equation electron-positronion plasmas

Numerical solution of thermo-solutal mixed convective slip flow from a radiative plate with convective boundary condition

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journal of Hydrodynamics 2016年第3期28卷 451-461页

作者： m.j.uddin o.anwar bég m.n.uddin a.i.md.ismail Department of mathematics American International University-BangladeshDhakaBangladesh Fluid mechanics Spray Research GroupPetroleum and Gas Engineering DivisionRoom G77Newton BuildingSchool of ComputingScience and Engineering(CSE)University of SalfordM54WTUK Department of mathematical Sciences Ball State University2000 W University AvenueMuncieIN 47306USA School of mathematical Sciences Universiti Sains MalaysiaPenang 11800Malaysia

A mathematical model for mixed convective slip flow with heat and mass transfer in the presence of thermal radiation is presented. A convective boundary condition is included and slip is simulated via the hydrodynamic slip parameter. Heat generation and absorption effects are also incorporated. The Rosseland diffusion flux model is employed. The governing partial differential conservation equations are reduced to a system of coupled, ordinary differential equations via Lie group theory method. The resulting coupled equations are solved using shooting method. The influences of the emerging parameters on dimensionless velocity, tempera- ture and concentration distributions are investigated. Increasing radiative-conductive parameter accelerates the boundary layer flow and increases temperature whereas it depresses concentration. An elevation in convection-conduction parameter also accelerates the flow and temperatures whereas it reduces concentrations. Velocity near the wall is considerably boosted with increasing momentum slip parameter although both temperature and concentration boundary layer thicknesses are decreased. The presence of a heat source is found to increase momentum and thermal boundary layer thicknesses but reduces concentration boundary layer thickness. Excelle- nt correlation of the numerical solutions with previous non-slip studies is demonstrated. The current study has applications in bio- reactor diffusion flows and high-temperature chemical materials processing systems.

关键词： slip flow thermal radiation lie group theory heat source/sink materials processing

Two-component modeling for non-Newtonian nanofluid slip flow and heat transfer over sheet: Lie group approach

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Applied mathematics and mechanics(English Edition) 2016年第10期37卷 1325-1340页

作者： P.RANA m.j.uddin Y.GUPTA A.I.m.ISmAIL Department of mathematics Jaypee Institute of Information Technology School of mathematical Sciences Universiti Sains Malaysia Department of mathematics American International University-Bangladesh

The present paper deals with the multiple solutions and their stability analy- sis of non-Newtonian micropolar nanofluid slip flow past a shrinking sheet in the presence of a passively controlled nanoparticle boundary condition. The Lie group transformation is used to find the similarity transformations which transform the governing transport equations to a system of coupled ordinary differential equations with boundary condi- tions. These coupled set of ordinary differential equation is then solved using the Runge- Kutta-Fehlberg fourth-fifth order （RKF45） method and the ode15s solver in mATLAB. For stability analysis, the eigenvalue problem is solved to check the physically realizable solution. The upper branch is found to be stable, whereas the lower branch is unsta- ble. The critical values （turning points） for suction （0 〈 sc 〈 s） and the shrinking parameter （Xc 〈 X 〈 0） are also shown graphically for both no-slip and multiple-slip conditions. multiple regression analysis for the stable solution is carried out to inves- tigate the impact of various pertinent parameters on heat transfer rates, The Nusselt number is found to be a decreasing function of the thermophoresis and Brownian motion parameters.

关键词： micropolar nanofluid stability multiple-slip Lie group mATLAB

melting and second order slip effect on convective flow of nanofluid past a radiating stretching/shrinking sheet

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Propulsion and Power Research 2018年第1期7卷 60-71页

作者： m.j.uddin W.A.Khan A.I.md.Ismail American International University-Bangladesh BananiDhaka 1213Bangladesh PN Engineering College PNS JauharNational University of Sciences and TechnologyHabib Ibrahim Rehmatullah RoadKarsazKarachiPakistan School of mathematical Sciences Universiti Sains MalaysiaPenang 11800Malaysia

A mathematical model is presented for forced convective slip flow of a nanofluid past a radiating stretching/shrinking *** boundary condition is taken into *** nanofluid model involves the Brownian motion and thermophoresis *** group transformation is used to the transport equations as well as the boundary conditions to develop the similarity equations,before being solved numerically using the Runge-Kutta-Fehlberg fourth-fifth order numerical *** show the effects of the controlling parameters on the dimensionless velocity,temperature,nanoparticle volume fraction,skin friction factor,local Nusselt,and local Sherwood numbers,numerical results are presented both in graphical and tabular *** is found that the friction factor decreases with slip and melting parameters for both stretching/shrinking *** is also found that the Nusselt number decreases with the first order slip while it increases with melting and radiation parameters in both ***,the Sherwood number decreases with the melting parameter both for radiating and non-radiating stretching/shrinking *** excellent agreement is found between the present numerical results and published results.

关键词： Nanofluid melting effect Lie group Thermal radiation Slip boundary condition

Natural convective heat transfer in a square enclosure utilizing magnetic nanoparticles

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Propulsion and Power Research 2019年第3期8卷 194-209页

作者： Latifa m.Al-Balushi m.j.uddin m.m.Rahman Department of mathematics College of ScienceSultan Qaboos UniversityP.O.Box 36Al-KhodP.C.123MuscatSultanate of Oman Department of General Educational Development Daffodil International University102 ShukrabadDhanmondiDhaka 1207Bangladesh

In the present paper,unsteady natural convective heat transfer flow inside a square enclosure filled with nanofluids containing magnetic nanoparticles using nonhomogeneous dynamic model is investigated *** horizontal top wall of the enclosure is considered a colder wall and the bottom wall is maintained at uniform temperature whereas two other vertical walls of the cavity are thermally *** Galerkin weighted residual finite element method has been used to solve the governing non-dimensional partial differential *** numerical simulations,four types of nanoparticles such as magnetite(Fe_(3)O_(4)),cobalt ferrite(CoFe_(2)O_(4)),mn-Zn ferrite(mn-ZnFe_(2)O_(4)),and silicon dioxide(SiO2),and three types of base fluids such as water(H_(2)O),engine oil(EO)and kerosene(Ke)have been *** with previously published work are performed and excellent agreement is *** effects of various model parameters such as thermal Rayleigh number,nanoparticles volume fraction and nanoparticles shape factor are *** results show that the average Nusselt number increases as the thermal Rayleigh number and nanoparticles volume fraction *** results indicate that the average Nusselt numbers are higher for the blade shape of nanoparticles.

关键词： Nanofluids Nanoparticles Heat transfer Natural convection Square enclosure Finite element method

Stefan blowing effect on bioconvective flow of nanofluid over a solid rotating stretchable disk

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Propulsion and Power Research 2016年第4期5卷 267-278页

作者： N.A.Latiff m.j.uddin A.I.md.Ismail School of mathematical Sciences Universiti Sains MalaysiaPenang 11800Malaysia

A mathematical model for the unsteady forced convection over rotating stretchable disk in nanofluid containing microorganisms and taking into account Stefan blowing effect is presented theoretically and *** transfonnations are used to transform the governing boundary layer equations into non-linear ordinary differential equations,before being solved numerically using the Runge-Kutta-Fehlberg *** effect of the governing parameters on the dimensionless velocities,temperature,nanoparticle volume fraction(concentration),density of motile microorganisms as well as on the local skin friction,local Nusselt,Sherwood number and motile microorganisms numbers are thoroughly examined via *** is observed that the Stefan blowing increases the local skin friction and reduces the heat transfer,mass transfer and microorganism transfer *** numerical results are in good agreement with those obtained from previous *** quantities results from this investigation show that the effects of higher disk stretching strength and suction case provides a good medium to enhance the heat,mass and microorganisms transfer compared to blowing case.

关键词： Stefan blowing Bio-nanofluid Stretching disk Rotating disk Heat transfer

Novel Framework for an Intrusion Detection System Using multiple Feature Selection methods Based on Deep Learning

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Tsinghua Science and Technology 2024年第4期29卷 948-958页

作者： A.E.m.Eljialy mohammed Yousuf uddin Sultan Ahmad Department of Information Systems College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabia Department of Computer Science College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAlkharjSaudi Arabiaand also with University Center for Research and Development(UCRD)Department of Computer Science and EngineeringChandigarh UniversityPunjabIndia

Intrusion detection systems (IDSs) are deployed to detect anomalies in real time. They classify a network’s incoming traffic as benign or anomalous (attack). An efficient and robust IDS in software-defined networks is an inevitable component of network security. The main challenges of such an IDS are achieving zero or extremely low false positive rates and high detection rates. Internet of Things (IoT) networks run by using devices with minimal resources. This situation makes deploying traditional IDSs in IoT networks unfeasible. machine learning (mL) techniques are extensively applied to build robust IDSs. many researchers have utilized different mL methods and techniques to address the above challenges. The development of an efficient IDS starts with a good feature selection process to avoid overfitting the mL model. This work proposes a multiple feature selection process followed by classification. In this study, the Software-defined networking (SDN) dataset is used to train and test the proposed model. This model applies multiple feature selection techniques to select high-scoring features from a set of features. Highly relevant features for anomaly detection are selected on the basis of their scores to generate the candidate dataset. multiple classification algorithms are applied to the candidate dataset to build models. The proposed model exhibits considerable improvement in the detection of attacks with high accuracy and low false positive rates, even with a few features selected.

关键词： random forest feature selection decision tree software-defined network logistic regression intrusion detection system XGB classifier AdaBoost

Improved Dynamic johnson Sequencing Algorithm(DjS)in Cloud Computing Environment for Efficient Resource Scheduling for Distributed Overloading

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journal of Systems Science and Systems Engineering 2024年第4期33卷 391-424页

作者： Anurag Sinha Pallab Banerjee Sharmistha Roy Nitasha Rathore Narendra Pratap Singh mueen uddin maha Abdelhaq Raed Alsaqour Department of Computer Science Engineering ICFAI Tech SchoolICFAI UniversityJharkhandRanchi834004India Department of Computer Science Engineering Amity UniversityJharkhandRanchi835303India Department of Computing and Information Technology Usha Martin UniversityRanchi835103India Department of Information Technology Bharti Vidyapeeth’s College of EngineeringPaschim ViharNew DelhiIndia Department of CSE Delhi UniversityNew DelhiIndia College of Computing and Information Technology University of Doha for Science and TechnologyDoha24449Qatar Department of Information Technology College of Computer and Information SciencesPrincess Nourah Bint Abdurrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Technology College of Computing and InformaticsSaudi Electronic University93499RiyadhSaudi Arabia

This study introduces an innovative approach to optimize cloud computing job distribution using the Improved Dynamic johnson Sequencing Algorithm(DjS).Emphasizing on-demand resource sharing,typical to Cloud Service Providers(CSPs),the research focuses on minimizing job completion delays through efficient task *** johnson’s rule from operations research,the study addresses the challenge of resource availability post-task *** advocates for queuing models with multiple servers and finite capacity to improve job scheduling models,subsequently reducing wait times and queue *** Dynamic johnson Sequencing Algorithm and the m/m/c/K queuing model are applied to optimize task sequences,showcasing their efficacy through comparative *** research evaluates the impact of makespan calculation on data file transfer times and assesses vital performance indicators,ultimately positioning the proposed technique as superior to existing approaches,offering a robust framework for enhanced task scheduling and resource allocation in cloud computing.

关键词： First come first served(FCFS)scheduling round robin task scheduling queuing model johnson scheduling algorithm

硒和维生素E对肉鸡粘膜相关组织(MALT)和淋巴器官中分泌免疫球蛋...

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