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Steel Surface Defect Detection Using Learnable memory Vision Transformer

Computers, materials & Continua 2025年第1期82卷 499-520页

作者： Syed Tasnimul Karim Ayon farhan m..siraj Jia Uddin Department of Computer Science and Engineering BRAC UniversityDhaka1212Bangladesh Department of AI and Big Data Endicott CollegeWoosong UniversityDaejeon34606Republic of Korea

This study investigates the application of Learnable memory Vision Transformers(LmViT)for detecting metal surface flaws,comparing their performance with traditional CNNs,specifically ResNet18 and ResNet50,as well as other transformer-based models including Token to Token ViT,ViT withoutmemory,and Parallel *** awidely-used steel surface defect dataset,the research applies data augmentation and t-distributed stochastic neighbor embedding(t-SNE)to enhance feature extraction and *** techniques mitigated overfitting,stabilized training,and improved generalization *** LmViT model achieved a test accuracy of 97.22%,significantly outperforming ResNet18(88.89%)and ResNet50(88.90%),aswell as the Token to TokenViT(88.46%),ViT without memory(87.18),and Parallel ViT(91.03%).Furthermore,LmViT exhibited superior training and validation performance,attaining a validation accuracy of 98.2%compared to 91.0%for ResNet 18,96.0%for ResNet50,and 89.12%,87.51%,and 91.21%for Token to Token ViT,ViT without memory,and Parallel ViT,*** findings highlight the LmViT’s ability to capture long-range dependencies in images,an areawhere CNNs struggle due to their reliance on local receptive fields and hierarchical feature *** additional transformer-based models also demonstrate improved performance in capturing complex features over CNNs,with LmViT excelling particularly at detecting subtle and complex defects,which is critical for maintaining product quality and operational efficiency in industrial *** instance,the LmViT model successfully identified fine scratches and minor surface irregularities that CNNs often *** study not only demonstrates LmViT’s potential for real-world defect detection but also underscores the promise of other transformer-based architectures like Token to Token ViT,ViT without memory,and Parallel ViT in industrial scenarios where complex spatial relationships are *** research m

关键词： Learnable memory Vision Transformer(LmViT) Convolutional Neural Networks(CNN) metal surface defect detection deep learning,computer vision image classification learnable memory gradient clipping label smoothing t-SNE visualization

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Rayleigh Waves Propagation in an Infinite Rotating Thermoelastic Cylinder

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Computers, materials & Continua 2021年第5期67卷 2515-2525页

作者： A.m.farhan Department of Physics Faculty of ScienceJazan UniversityJazanSaudi Arabia Department of Physics Faculty of ScienceZagazig UniversityZagazigEgypt

In this paper,we investigated the inuence of rotating half-space on the propagation of Rayleigh waves in a homogeneous isotropic,generalized thermo-elastic body,subject to the boundary conditions that the surface is traction *** addition,it is subject to insulating thermal conduction.A general solution is obtained by using Lame’potential’s and Hankel *** dispersion equations has been derived separately for two types of Rayleigh wave propagation properties by solving the equations of motion with appropriate boundary *** is observed that the rotation,frequency and r exert some influence in the homogeneous isotropic medium due to propagation of Rayleigh *** frequency equation has been derived of homogeneous properties by solving the equations of motion with appropriate boundary *** has been found that the frequency equation of waves contains a term involving the ***,the phase velocity of Rayleigh waves changes with respect to this *** the rotating vanishes,the derived frequency equation reduces to that obtained in classical generalized thermo-elastic case which includes the relaxation time of heat *** order to illustrate the analytical development,the numerical solution is carried out and computer simulated results in respect of Rayleigh wave velocity and attenuation coefficient are presented graphysically.A comparative and remarkable study has been carried out through various graphs to deliberate the consequences of different parameter on the frequency *** obtained results can be very useful in the design and optimization of Rayleigh wave.

关键词： Rayleigh waves wave propagation generalized thermoelasticity thermal stress rotation

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Effect of Rotation on the Propagation of Waves in Hollow Poroelastic Circular Cylinder with magnetic Field

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Computers, materials & Continua 2017年第2期53卷 129-156页

作者： A.m.farhan physics department faculty of science jazan university-K.S.A physics department faculty of sciencezagazig universityzagazig

Employing Biot’s theory of wave propagation in liquid saturated porous media,the effect of rotation and magnetic field on wave propagation in a hollow poroelastic circular of infinite extent is *** exact closed form solution is *** frequency equations for propagation of poroelastic cylinder are obtained when the boundaries are stress *** frequencies are calculated for poroelastic cylinder for different values of magnetic field and *** results are given and illustrated *** results indicate that the effect of rotation,and magnetic field are very *** a model would be useful in large-scale parametric studies of mechanical response.

关键词： Wave propagation rotation magnetic field poroelastic medium natural frequency.

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Optimal Simultaneous Allocation of Electric Vehicle Charging Stations and Capacitors in Radial Distribution Network Considering Reliability

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Journal of modern Power Systems and Clean Energy 2024年第5期12卷 1584-1595页

作者： B.Vinod Kumar Aneesa farhan m A the Department of Electrical and Electronic Engineering National Institute of Technology TiruchirappalliTamilnaduIndia

The popularity of electric vehicles(EVs)has sparked a greater awareness of carbon emissions and climate *** mobility expansion and EV adoption have led to an increased infrastructure for electric vehicle charging stations(EVCSs),impacting radial distribution networks(RDNs).To reduce the impact of voltage drop,the increased power loss(PL),lower system interruption costs,and proper allocation and positioning of the EVCSs and capacitors are *** paper focuses on the allocation of EVCS and capacitor installations in RDN by maximizing net present value(NPV),considering the reduction in energy losses and interruption *** a part of the analysis considering reliability,several compensation coefficients are used to evaluate failure rates and pinpoint those that will improve *** locate the best nodes for EVCSs and capacitors,the hybrid of grey wolf optimization(GWO)and particle swarm optimization(PSO)(HGWO_PSO)and the hybrid of PSO and Cuckoo search(CS)(HPSO_CS)algorithms are proposed,forming a combination of GWO,PSO,and CS *** impact of EVCSs on NPV is also investigated in this *** effectiveness of the proposed optimization algorithms is validated on an IEEE 33-bus RDN.

关键词： Electric vehicle charging station optimization radial distribution network vehicle-to-grid loss reduction reliability

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Separation of Isotopes via Dynamical Delocalization

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Chinese Physics Letters 2008年第10期25卷 3660-3662页

作者： farhan Sail Department of Electronics Quaid-i-Azam University Islamabad 45320 Pakistan

Based on the dynamical delocalization phenomenon we show that different isotopes of a material can be separated. We explain that the suggested scheme can be realized in the laboratory using presently available experim... 详细信息

关键词： the power-law exponents precipitation durative abrupt precipitation change

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Effect of rotation on the surface wave propagation in magneto-thermoelastic materials with voids

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Journal of Ocean Engineering and Science 2018年第4期3卷 334-342页

作者： A.m.farhan A.m.Abd-Alla Physics Department Faculty of ScienceJazan UniversitySaudi Arabia Physics Department Faculty of ScienceZagzig UniversityEgypt mathematics Department Faculty of ScienceSohag UniversityEgypt

The present investigation is focused on studying the surface wave propagation in a generalized magneto-thermoelastic materials taking(Green Lindsay)model with *** general surface wave speed is derived to study the effects of magnetic field and rotation on surface wave in the presence of *** addition the present study can be comprehensively applied to the magneto-thermoelastic medium with *** possible non-dimensional frequency of surface wave propagation has been obtained as the solution of an algebraic equation involving a determinant whose elements contain the material parameters,the direction of applied magnetic field and rotation of surface wave *** comparisons for the physical quantities are established numerically and represented graphically in different cases with respect to the used effects.

关键词： Green Lindsay theory Thermoelasticity Surface waves.

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Heat Transfer Analysis of mHD Power Law Nano Fluid Flow through Annular Sector Duct

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Journal of Thermal Science 2020年第1期29卷 169-181页

作者： AHmED farhan IQBAL mazhar School of Natural Sciences National University of Science and Technology

Flow and heat transfer analysis of an electrically conducting mHD power law nano fluid is carried out through annular sector duct,under the influence of constant pressure *** types of nano particles(*** and TiO2)are used in power law nano *** implicit procedure,(SIP)is used to simulate the discretized coupled algebraic *** has been observed that volume fraction of nano particles,ϕand magnetic field parameter,Ha are favourable for the heat transfer rate,however,both resist the fluid *** of applied uniform transverse magnetic field exceeds in the case of shear thickening fluids(i.e.n>1)by increasing the value of Ha as compared to that in shear thinning fluids(i.e.nment in heat transfer rate is comparably more in shear thickening ***,comparable limiting case study with published result is also carried out in this research paper.

关键词： electrically conducting power law nano fluid Cu nano particles TiO2 nano particles shear thickening fluid shear thinning fluid heat transfer rate friction factor

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Proper Conformal Killing Vectors in Kantowski-Sachs metric

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Communications in Theoretical Physics 2018年第4期69卷 393-398页

作者： Tahir Hussain muhammad farhan Department of mathematics University of Peshawar Khyber Pakhtunkhwa Pakista

This paper deals with the existence of proper conformal Killing vectors(CKVs) in Kantowski-Sachs *** to some integrability conditions, the general form of vector filed generating CKVs and the conformal factor is presented. The integrability conditions are solved generally as well as in some particular cases to show that the nonconformally flat Kantowski-Sachs metric admits two proper CKVs, while it admits a 15-dimensional Lie algebra of CKVs in the case when it becomes conformally flat. The inheriting conformal Killing vectors(ICKVs), which map fluid lines conformally, are also investigated.

关键词： conformal killing vectors killing vectors Kantowski-Sachs metric

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Big Data Analytics Using Graph Signal Processing

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Computers, materials & Continua 2023年第1期74卷 489-502页

作者： farhan Amin Omar m.Barukab Gyu Sang Choi Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea Faculty of Computing and Information Technology-Rabigh King Abdulaziz UniversityJeddahSaudi Arabia

The networks are fundamental to our modern world and they appear throughout science and *** to a massive amount of data presents a unique opportunity to the researcher’s *** networks grow in size the complexity increases and our ability to analyze them using the current state of the art is at severe risk of failing to keep ***,this paper initiates a discussion on graph signal processing for large-scale data *** first provide a comprehensive overview of core ideas in Graph signal processing(GSP)and their connection to conventional digital signal processing(DSP).We then summarize recent developments in developing basic GSP tools,including methods for graph filtering or graph learning,graph signal,graph Fourier transform(GFT),spectrum,graph frequency,*** filtering is a basic task that allows for isolating the contribution of individual frequencies and therefore enables the removal of *** then consider a graph filter as a model that helps to extend the application of GSP methods to large *** show the suitability and the effeteness,we first created a noisy graph signal and then applied it to the *** several rounds of simulation *** see that the filtered signal appears to be smoother and is closer to the original noise-free distance-based *** using this example application,we thoroughly demonstrated that graph filtration is efficient for big data analytics.

关键词： Big data data science big data processing graph signal processing social networks

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mixed Convective Viscoelastic Nanofluid Flow Past a Porous media with Soret–Dufour Effects

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Communications in Theoretical Physics 2016年第7期65卷 133-142页

作者： m.Ramzan farhan Yousaf m.Farooq Jae Dong Chung Department of Computer Science Bahria University Department of mathematics Faculty of Computing Capital University of Science and Technology Department of mathematics Riphah International University Department of mechanical Engineering Sejong University

The present study is carried out to see the thermal-diffusion(Dufour) and diffusion-thermo(Soret) effects on the mixed convection boundary layer flow of viscoelastic nanofluid flow over a vertical stretching surface in a porous medium. Optimal homotopy analysis method(OHAm) is best candidate to handle highly nonlinear system of differential equations obtained from boundary layer partial differential equations via appropriate transformations. Graphical illustrations depicting different physical arising parameters against velocity, temperature and concentration distributions with required discussion have also been added. Numerically calculated values of skin friction coefficient, local Nusselt and Sherwood numbers are given in the form of table and well argued. It is found that nanofluid velocity increases with increase in mixed convective and viscoelastic parameters but it decreases with the increasing values of porosity parameter. Also, it is observed that Dufour number has opposite behavior on temperature and concentration profiles.

关键词： mixed convection porous media nanofluid flow soret-dufour effects

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