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Corrosion Inhibition of SiCp/5A06 Aluminum Metal Matrix Composite by Cerium Conversion Treatment

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Chinese Journal of Aeronautics 2009年第6期22卷 670-676页

作者： irfan Aziz Zhang Qi Xiang Min School of Materials Science and Engineering Beo'ing University of Aeronautics and Astronautics Beijing 100191 China

This article studies the effects of the CeCl3 concentrations in conversion solutions with and without addition of NaCl, pH-values of conversion solution, drying temperature, time and temperature of immersion on the Ce-conversion coatings for corrosion protection of the SiCp/5A06 Al-MMC and 5A06 Al-alloy in the 3.5% NaCl aqueous solution at room temperature. Potentiodynamic polarization tests reveal that the Ce-conversion treatment could markedly improve the pitting corrosion resistance of the composite and the matrix alloy in chloride containing environment. The best corrosion resistance effects are obtained for the samples treatment in 1% CeCl3.7H2O/3.5% NaCl solution at 45℃ for 60 min, followed by drying at 100 ℃ for 30 min. Examinations by means of scanning electron microscopy （SEM）, energy dispersion spectroscopy （EDS） and X-ray photoelectron spectroscopy （XPS） indicate that this behavior is due to the precipitation of Ce-oxides/hydroxides on the cathodic intermetallics and the Al-oxide film on the rest of the metal matrix.

关键词： cerium thermal coatings SiCp/5A06 Al matrix composites potentiodynamic polarization alkaline corrosion

Quintessence anisotropic stellar models in quadratic and Born-Infeld modified teleparallel Rastall gravity

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Chinese Physics B 2024年第3期33卷 179-189页

作者： Allah Ditta 夏铁成 irfan Mahmood Asif Mahmood Department of Mathematics Shanghai University and Newtouch Center for Mathematics of Shanghai UniversityShanghai 200444China Centre for High Energy Physics University of the PunjabLahorePakistan College of Engineering Chemical Engineering DepartmentKing Saud University RiyadhSaudi Arabia

This study aims to discuss anisotropic solutions that are spherically symmetric in the quintessence field,which describe compact stellar objects in the modified Rastall teleparallel theory of *** achieve this goal,the Krori and Barua arrangement for spherically symmetric components of the line element is *** explore the field equations by selecting appropriate off-diagonal tetrad ***-Infeld function of torsion f(T)=β√λT+1-1 and power law form h(T)=δTn are *** Born-Infeld gravity was the first modified teleparallel gravity to discuss *** use the linear equation of state pr=ξρto separate the quintessence *** obtaining the field equations,we investigate different physical parameters that demonstrate the stability and physical acceptability of the stellar *** use observational data,such as the mass and radius of the compact star candidates PSRJ 1416-2230,Cen X-3,&4U 1820-30,to ensure the physical plausibility of our findings.

关键词： anisotropic spheres quintessence field modified Rastall teleparallel gravity equation of state(EoS) f(T)gravity

Bioaugmentation of a novel bacterial consortium in cotton-planted soil for lambda-cyhalothrin degradation

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Pedosphere 2024年第6期34卷 1100-1110页

作者： Samina ANWAR Anusha liaqat Asma MUNIR Muhammad F.ASHRAF Samina IQBAL Soil & Environmental Biotechnology Division National Institute for Biotechnology & Genetic Engineering College Pakistan Institute of Engineering &Applied Sciences (NIBGE-CPIEAS) Department of Chemistry Government College Women University

Extensive use of lambda-cyhalothrin（LC） for agricultural and domestic pest control leads to the accumulation of its residues in soil and water,which poses a serious threat to the *** of LC at the point source is the most effective way to avoid its spread and harmful ***,this study was planned to investigate the potential of indigenously isolated bacteria for the remediation of LC in cotton-vegetated *** potent LC-degrading bacteria,Brucella intermedia Halol,Alcaligenes faecalis CH1S,and Aquamicrobium terrae CH1T,were isolated from a pyrethroid-contaminated soil.A consortium CHST comprising these three strains was found to exhibit a higher potential for LC degradation as compared to the individual *** degradation of LC by CHST was optimized for four varying factors,i.e.,pH,inoculum density（ID）,carbon source（CS）,and initial pesticide（i.e.,LC）concentration（PC）,by applying Taguchi design of *** contributions of these factors to the biodegradation of LC were found to be in the order of pH> CS> PC> *** enhanced degradation of LC（84%） was attained at pH 7.0 in minimum salt medium containing 10 mg L-1LC and 3% *** consortium CHST was also augmented in sterilized and unsterilized soil microcosms at three PCs,i.e.,2,5,and 10 mg *** 21 d of incubation,complete LC degradation was achieved at 2 mg kg-1PC in sterilized as well as unsterilized soil,whereas at higher PCs,the extent of degradation was comparatively *** PC of 5 mg kg-1,88% and 96% LC degradation were observed in sterilized and unsterilized soils,respectively,compared to 79% and90% degradation at 10 mg kg-1,*** biodegradation,the major metabolite of LC,i.e.,3-phenoxybenzoic acid,was produced and further *** a cotton-planted soil spiked with 10 mg kg-1LC,the consortium degraded 91.8% LC,as well as improving the agronomic parameters of the cotton *** a nutshell,the consortium CHST was found to be a promising

关键词： Bioremediation HPLC analysis 3-Phenoxybenzoic acid Pyrethroids Taguchi design of experiments

Deepdive:a learning-based approach for virtual camera in immersive contents

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Virtual Reality & Intelligent Hardware 2022年第3期4卷 247-262页

作者： Muhammad irfan Muhammad MUNSIF Department of Computer Science Oakland UniversityMichiganUSA Digital Image Processing Laboratory Islamia CollegePeshawarPakistan

A 360°video stream provide users a choice of viewing one's own point of interest inside the immersive *** head or hand manipulations to view the interesting scene in a 360°video is very tedious and the user may view the interested frame during his head/hand movement or even lose *** automatically extracting user's point of interest(UPI)in a 360°video is very challenging because of subjectivity and difference of *** handle these challenges and provide user's the best and visually pleasant view,we propose an automatic approach by utilizing two CNN models:object detector and aesthetic score of the *** proposed framework is three folded:pre-processing,Deepdive architecture,and view selection *** first fold,an input 360°video-frame is divided into three sub frames,each one with 120°*** second fold,each sub-frame is passed through CNN models to extract visual features in the sub-frames and calculate aesthetic ***,decision pipeline selects the sub frame with salient object based on the detected object and calculated aesthetic *** compared to other state-of-the-art techniques which are domain specific approaches i.e.,support sports 360°video,our syste m support most of the 360°videos *** evaluation of proposed framework on our own collected data from various websites indicate performance for different categories of 360°videos.

关键词： Virtual reality Immersive contents Deep learning Aesthetic Saliency

Multi-Objective Vendor Selection Problem of Supply Chain Management Under Fuzzy Environment

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Journal of the Operations Research Society of China 2021年第1期9卷 33-62页

作者： Srikant Gupta irfan Ali Aquil Ahmed Department of Statistics and Operations Research Aligarh Muslim UniversityAligarhUPIndia

Survival of a company in today's competitive business environment depends mainly on its supply *** adequate supply chain gives a competitive edge to a ***,which is the initial stage of a supply chain,can be made efficient by making an appropriate selection of *** vendor selection results not only in reduced purchasing costs,decreased production lead time,increased customer satisfaction but also in improved corporate *** general,the vendor selection problem is a multi-objective decision-making problem that involves some quantitative and qualitative ***,we have considered a multi-objective ven-dor selection problem(MOV SP)with three multiple objective goals:minimization of net ordering price,minimization of rejected units and minimization of late delivered *** most of the cases,information about the price of a unit,percentage of rejected units,percentage of late delivered units,vendor rating value and vendor quota flexibil-ity may not be known precisely due to some *** this paper,imprecision in input information is handled by the concept of a simulation technique,where the parameter follows the uniform ***,stochastic,a-cut and ranking function approaches are used to get the crisp value of the simulated data *** four differ-ent algorithms,namely-fuzzy programming,goal programming,lexicographic goal programming and D1-distance algorithm,have been used for solving the *** last,three different types of simulated data sets have been used to illustrate the work.

关键词： Vendor selection problem Trapezoidal fuzzy number α-Cut and ranking function Fuzzy programming Goal programming Lexicographic goal programming

Exact Solutions on MHD Flow Past an Accelerated Porous Plate in a Rotating Frame

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Chinese Physics Letters 2011年第5期28卷 168-171页

作者： T.Hayat liaqat Ali.Khan R.Ellahi S.Obaidat Department of Mathematics Quaid-i-Azam University Islamabad Pakistan Department of Mathematics King Saud UniversityRiyadhSaudi Arabia Department of Mathematics Military College MurreePakistan Department of Mathematics FBASIIUIH-10 SectorPakistan

We present an analysis of an electrically conducting viscous fluid over a porous plate in a rotating *** plate starts impulsively from rest relative to the rotating fluid moving with uniform acceleration in its own *** solutions are developed for both large and small *** addition,skin friction is *** variations of magnetic field and porosity are displayed and *** is noted that steady state behavior is not achieved even under the simultaneous effects of suction,magnetic field and rotation.

关键词： rotating plate viscous

A geochemical perspective on the genesis of Cenozoic basic volcanism in northeastern Turkey:an overview of metasomatism and heterogeneity of the sub-continental lithospheric mantle in a post-collisional setting

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Acta Geochimica 2024年第3期43卷 489-506页

作者： Mehmet Arslan irfan Temizel Department of Geological Engineering Karadeniz Technical University61080 TrabzonTurkey

The post-collisional Cenozoic basic volcanic rocks in NE Turkey show temporal variations in whole-rock lithophile element and highly siderophile element(HSE)systematics that are mainly associated with the nature of sub-continental lithospheric mantle(SCLM)sources and parental melt *** far,the traditional whole-rock lithophile geochemical data of these basic volcanic rocks have provided important constraints on the nature of SCLM *** lithophile element and HSE geochemical data of these basic volcanic rocks also reveal the heterogeneity of the SCLM source,which is principally related to variable metasomatism resulting from previous subduction(s)and post-collisional mantle-crust interactions in an extensional *** element geochemical features suggest that the parental magmas have derived from metasomatized spinel-to garnet-bearing SCLM sources for Eocene and Miocene basic volcanic rocks with subduction signatures whereas originated from spinel-to garnet-bearing SCLM sources for Mio-Pliocene and Plio-Quaternary basaltic volcanic rocks without the subduction *** element and HSE geo-chemistry also reveal that Eocene and Miocene basic vol-canic rocks were affected by more pronounced crustal contamination than the basaltic volcanic rocks of Mio-Pliocene and ***,the integrated lithophile element and HSE compositions of these basic volcanic rocks,together with the regional asymmetric lithospheric delamination model,reveal that the compositional variation(especially due to metasomatism)was significant temporally in the heterogeneity of the SCLM sources from which parental magmas formed during the Cenozoic era.

关键词： Basalt Lithospheric mantle Metasomatism Mantle heterogeneity Cenozoic volcanics NE Turkey

Personality Assessment Based on Natural Stream of Thoughts Empowered with Machine Learning

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Computers, Materials & Continua 2023年第7期76卷 1-17页

作者： Mohammed Salahat liaqat Ali Taher M.Ghazal Haitham M.Alzoubi College of Engineering and Technology University of Science and Technology of FujairahFujairahUAE School of Information Technology Skyline University CollegeUniversity City Sharjah1797UAE Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebangsaan Malaysia(UKM)43600Malaysia School of Business Skyline University CollegeUniversity City Sharjah1797SharjahUAE

Knowing each other is obligatory in a multi-agent collaborative *** may develop the desired know-how of each other in various aspects such as habits,job roles,status,and *** different distinguishing characteristics related to a person,personality traits are an effective predictive tool for an individual’s behavioral *** has been observed that when people are asked to share their details through questionnaires,they intentionally or unintentionally become *** knowingly or unknowingly provide enough information in much-unbiased comportment in open writing about *** writings can effectively assess an individual’s personality traits that may yield enormous possibilities for applications such as forensic departments,job interviews,mental health diagnoses,*** of consciousness,collected by James Pennbaker and Laura King,is one such way of writing,referring to a narrative technique where the emotions and thoughts of the writer are presented in a way that brings the reader to the fluid through the mental states of the ***-over,computationally,various attempts have been made in an individual’s personality traits assessment through deep learning algorithms;however,the effectiveness and reliability of results vary with varying word embedding *** article proposes an empirical approach to assessing personality by applying convolutional networks to text *** Encoder Representations from Transformers(BERT)word embedding technique is used for word vector generation to enhance the contextual meanings.

关键词： Personality traits convolutional neural network deep learning word embedding

Efficient Data Augmentation Techniques for Improved Classification in Limited Data Set of Oral Squamous Cell Carcinoma

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Computer Modeling in Engineering & Sciences 2022年第6期131卷 1387-1401页

作者： Wael Alosaimi M.irfan Uddin Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan

Deep Learning(DL)techniques as a subfield of data science are getting overwhelming attention mainly because of their ability to understand the underlying pattern of data in making *** techniques require a considerable amount of data to efficiently train the DL ***,when the data size is larger,the DL models perform ***,it is not possible to have a considerable amount of data in different domains such as *** healthcare,it is impossible to have a substantial amount of data to solve medical problems using Artificial Intelligence,mainly due to ethical issues and the privacy of *** solve this problem of small dataset,different techniques of data augmentation are used that can increase the size of the training ***,these techniques only change the shape of the image and hence the classification model does not increase *** Adversarial Networks(GANs)are very powerful techniques to augment training data as new samples are *** technique helps the classification models to increase their *** this paper,we have investigated augmentation techniques in healthcare image *** objective of this research paper is to develop a novel augmentation technique that can increase the size of the training set,to enable deep learning techniques to achieve higher *** have compared the performance of the image classifiers using the standard augmentation technique and *** results demonstrate that GANs increase the training data,and eventually,the classifier achieves an accuracy of 90%compared to standard data augmentation techniques,which achieve an accuracy of up to 70%.Other advanced CNN models are also tested and have demonstrated that more deep architectures can achieve more than 98%accuracy for making classification on Oral Squamous Cell Carcinoma.

关键词： Data science deep learning data augmentation classification data manipulation