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A graphical software application for the ergonomic design of a working place
Author(s) -
Alexandru Ene
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/564/1/012097
Subject(s) - computer science , artificial neural network , software , java , work (physics) , noise (video) , nonlinear system , yield (engineering) , point (geometry) , simulation , industrial engineering , artificial intelligence , engineering , mathematics , programming language , mechanical engineering , physics , materials science , geometry , quantum mechanics , metallurgy , image (mathematics)
A working place has to be designed in order to offer with minimum cost adequate working conditions. The labor yield is much influenced by environmental measurable parameters like temperature, humidity, noise and the luminosity at the working place. In this paper we present a graphical application that could be used to investigate which is the best combination for the values of these input parameters from the point of view of work efficiency. The relationship between the input parameters and the work efficiency is nonlinear. Therefore, we used a neural network to model these nonlinearities. The neural network is simulated using Java programming language.

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