Publications
Solving Linear Problems: Applications in Structural, Thermal, and Fluid Analysis
Sep 2, 2024Journal IGI Global
Publisher IGI Global
DOI 10.4018/979-8-3693-3964-0.ch008
Problems associated with heat exchange between a gas and a packed bed are quite common in several branches of industry. To properly study this type of phenomenon, a good prediction of the flow dynamics through the bed is necessary. Based on this, this work presents a study of the flow in a packed bed through computer simulation. The packed bed considered in this study is cylindrical and made up of spheres. The simple cubic sphere arrangement was considered to generate the bed geometry. To make the simulation feasible, some simplifications were necessary. The first was flow periodicity in the axial direction of the bed. Another simplification was symmetry in relation to one-eighth of the bed. A very simplified case, considering a single simple cubic cell of spheres, was also simulated. The geometry and mesh of the packed bed were generated in the Gambit software and the flow simulation was carried out in the Fluent software.
Parallel Computing Techniques
Feb 9, 2024Journal IGI Global
Publisher IGI Global
DOI 10.4018/979-8-3693-3964-0.ch006
Meshless methods are numerical methods for solving partial differential equations. The connectivity relationships between the discretized nodes do not need to be explicitly established. Instead, a collection of nodes is distributed over the problem domain. This represents an advantage when it is necessary to generate a new mesh several times, as in the case of moving structures. However, this advantage has its price, as this class of methods consumes more computing time than methods such as finite element methods. Thus, for more complex problems that require “remesh” such a moving electrical machine models, this work aims to apply parallel programming techniques to accelerate the execution of computational codes that solve mathematical models of electromagnetism based on meshless methods. Programming with threads, in this case open multi-processing, was used to parallelize the most time-consuming parts of the code of an electromagnetic model of an induction machine based on the Element-Free Galerkin meshless method.
Artificial intelligence innovation and human resource recruitment
Aug 4, 2023Journal Tamjeed Journal of Healthcare Engineering and Science Technology
Publisher Tamjeed Journal of Healthcare Engineering and Science Technology
DOI https://doi.org/10.59785/fp28n371
This research aims to show the perspectives of personnel in various organizations. From senior executives to operational staff responsible for recruiting employees of private organizations in India, 22 people peruse artificial intelligence innovation in human resource recruitment which relies on collecting insights from the sample and theoretical research studies to study the possibility. Advantages and effects of artificial intelligence innovation on human resource recruitment and use it as a recommendation for organizations to apply artificial intelligence innovation to human resource recruitment.