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Published in 2017 at "Journal of Software: Evolution and Process"
DOI: 10.1002/smr.1820
Abstract: Software development project during its lifecycle passes through various states. These states describe the condition, status, and behavior of software projects. In the present study, these states are defined based on the various activities performed…
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Keywords:
project;
software projects;
project states;
software ... See more keywords
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Published in 2019 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-019-0740-0
Abstract: In this study, optimum design process to reduce a torque ripple was presented for an interior permanent magnet (IPM) type electric traction motor. Firstly, 2-D electromagnetic finite element analysis was conducted to analyze the characteristics…
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Keywords:
torque ripple;
meta model;
design;
optimum design ... See more keywords
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Published in 2019 at "Journal of the Brazilian Society of Mechanical Sciences and Engineering"
DOI: 10.1007/s40430-019-1796-6
Abstract: Silicon carbonitride (SiCN) thin films were deposited on p-type Si(100) substrate by thermal chemical vapour deposition process using SiC and Si3N4 nanopowder as the source, and mixture of N2 and H2 as precursor gases. For…
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Keywords:
deposition;
topsis;
sicn thin;
deposition process ... See more keywords
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Published in 2019 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2019.02.039
Abstract: Abstract This paper presents an efficient multi-objective optimization method, focusing on aerodynamic optimization of a diverterless supersonic inlet (DSI) in transonic and supersonic flight conditions. The DSI inlet, through scrutinizing the Bump shape has potential…
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Keywords:
optimization;
bump;
inlet;
meta model ... See more keywords
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Published in 2020 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2020.106174
Abstract: Abstract A meta model was developed to evaluate the performance of electrothermal anti-icing systems for a rotorcraft engine air intake. A reduced-order model based on proper orthogonal decomposition and a general regression neural network was…
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Keywords:
model;
anti icing;
meta model;
engine air ... See more keywords
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Published in 2018 at "Journal of Natural Fibers"
DOI: 10.1080/15440478.2017.1376303
Abstract: ABSTRACT To meet the requirements of the cotton spinning industry and achieve the best quality of ring-spun yarn, it becomes an imperative task to determine the technological values of cotton fibers. The availability of High…
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Keywords:
quality;
topsis;
cotton fiber;
cotton ... See more keywords
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Published in 2019 at "Journal of Cosmology and Astroparticle Physics"
DOI: 10.1088/1475-7516/2019/03/035
Abstract: The presence of strong magnetic fields in neutron stars, such as in magnetars, may significantly affect their crust-core transition properties and the crust size. This knowledge is crucial in the correct interpretation of astrophysical phenomena…
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Keywords:
magnetic fields;
estimating magnetar;
model;
strong magnetic ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3225736
Abstract: The graphical modeling language GRAFCET is used as a formal specification language in industrial control design. To use these formal specifications for model-driven development of control code it is beneficial to ensure their syntactical and…
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Keywords:
transformation grafcet;
detailed meta;
grafcet gal;
model ... See more keywords
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Published in 2018 at "Scientia Iranica"
DOI: 10.24200/sci.2018.20221
Abstract: Reliability analysis of structures is often problematic for the structures with nonlinear and complex limit state functions (LSF). For these cases, simulation methods often provide accurate failure probability, but with high number of structure’s LSF…
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Keywords:
analysis;
based meta;
reliability analysis;
meta model ... See more keywords
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Published in 2022 at "Polymers"
DOI: 10.3390/polym14030430
Abstract: This study presents a framework based on Machine Learning (ML) models to predict the drag coefficient of a spherical particle translating in viscoelastic fluids. For the purpose of training and testing the ML models, two…
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Keywords:
predict drag;
machine learning;
model;
meta model ... See more keywords