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Analysis of Agricultural and Engineering Systems using Simulation Decomposition

Abstract

This paper focuses on the analysis of agricultural and engineering processes using simulation decomposition (SD). SD is a technique that utilizes Monte Carlo simulations and distribution decomposition to visually evaluate the source and the outcome of different portions of data. Here, SD is applied to three distinct processes: a model problem, a nondestructive evaluation testing system, and an agricultural food-water energy system. The results demonstrate successful implementations of SD for the different systems, and the illustrate the potential of SD to support new understanding of cause and effect relationships in complex systems.

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Details

Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Language:
English
Publication year:
2022
Bibliographic description:
Liu Y., Leifsson L., Pietrenko-Dąbrowska A., Kozieł S.: Analysis of Agricultural and Engineering Systems using Simulation Decomposition// / : , 2022,
DOI:
Digital Object Identifier (open in new tab) 10.1007/978-3-031-08757-8_36
Sources of funding:
  • Free publication
Verified by:
Gdańsk University of Technology

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