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Analysis of Agricultural and Engineering Systems Using Simulation Decomposition

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Computational Science – ICCS 2022 (ICCS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13352))

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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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Acknowledgements

This material is based upon work supported by the United States National Science Foundation under grant no. 1739551.

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Authors and Affiliations

  1. Department of Aerospace Engineering, Iowa State University, Ames, IA, 50011, USA

    Yen-Chen Liu

  2. School of Aeronautics and Astronautics, Purdue University, West Lafayette, IN, 47907, USA

    Leifur Leifsson

  3. Faculty of Electronics Telecommunications and Informatics, Gdansk University of Technology, Narutowicza 11/12, 80-233, Gdansk, Poland

    Anna Pietrenko-Dabrowska & Slawomir Koziel

  4. Engineering Optimization and Modeling Center, Department of Engineering, Reykjavík University, Menntavegur 1, 102, Reykjavík, Iceland

    Slawomir Koziel

Authors
  1. Yen-Chen Liu
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  2. Leifur Leifsson
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  3. Anna Pietrenko-Dabrowska
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  4. Slawomir Koziel
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Corresponding author

Correspondence to Leifur Leifsson .

Editor information

Editors and Affiliations

  1. Brunel University London, London, UK

    Derek Groen

  2. University of Amsterdam, Amsterdam, The Netherlands

    Clélia de Mulatier

  3. AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  4. University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya

  5. University of Tennessee at Knoxville, Knoxville, TN, USA

    Jack J. Dongarra

  6. University of Amsterdam, Amsterdam, The Netherlands

    Peter M. A. Sloot

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Liu, YC., Leifsson, L., Pietrenko-Dabrowska, A., Koziel, S. (2022). Analysis of Agricultural and Engineering Systems Using Simulation Decomposition. In: Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13352. Springer, Cham. https://doi.org/10.1007/978-3-031-08757-8_36

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  • DOI: https://doi.org/10.1007/978-3-031-08757-8_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08756-1

  • Online ISBN: 978-3-031-08757-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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