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In this work an attempt is made to concurrently design Inter -Cell Layout and the MHS using a Genetic Algorithm based methodology for a Cellular Manufacturing System CMSS) environment under open field configuration.
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In this paper we contribute to fill this gap: we propose a quantitative based methodology for designing a cycle-tourist network infrastructure intended to provide local administrators with a quantitative based decision support tool to optimally exploit the scarce public funding devoted to the project deployment.
As an alternative, a copula based methodology for prediction modeling and an algorithm to simulate data are proposed.
In this research, first we designed a fuzzy logic based methodology for offering suitable gait pattern for an amputee, followed by formulating a suitable algorithm for designing a CPG, based on Rayleigh's oscillator.
A goal based methodology for HAZOP studies in which a functional model of the plant is used to assist in a functional decomposition of the plant starting from the purpose of the plant and continuing down to the function of a single node, e.g. a pipe section.
This study presents a GIS based methodology for use in the visual assessment of a potential new coastal fish farm development, focusing on both sea cages and the associated land based structures.
This paper proposes a Monte Carlo based methodology for uncertainty quantification that combines parametric building simulation and LCC analysis, showing a great potential in the possibility of combining several EEMs and undertake the uncertainty calculation with low computational costs and high accuracy of the result.
This paper presents a genetic programming (GP) based methodology for the automated optimum designs of structures using an approach which is free from ground structures.
In this paper, we present an evidential reasoning (ER) based methodology for synthesizing various types of assessment information provided by a group of customers and multiple QFD team members.
This paper proposed a PMU based methodology for adaptive zone settings of distance relays to improve the performance and reliability of distance protection.
In this paper a Monte Carlo based methodology for uncertainty quantification that combines the building simulation and the cost-benefit calculation is developed and demonstrated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com