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Approach to the Monitoring of Energy Consumption in Eco-grinder Based on ABC Optimization

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Beyond Databases, Architectures and Structures (BDAS 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 521))

Abstract

This article is a part of the series dedicated to AI Methods Inspired by Nature and their implementation in the mechatronic systems. The Artificial Bee Colony (ABC) enables the optimization of the consumption of power supplied from photovoltaic cells. The paper includes a few implementations of ABC. Special emphasis was put on maintaining proper energetic balance, and on monitoring of power demand as well as energy sources used for the comminution. The ecological grinder was designed based on the autonomic unit. It can be called autonomous, because it does not need external control. The built-in computer system ensures monitoring and visualization of the current state of the energetic balance.

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References

  1. Alvarado, S., Algerno, J., Auracher, H., Casali, A.: Energy-exergy optimization of comminution. Energy 23(2), 153–158 (1998)

    Article  Google Scholar 

  2. Brajevic, I., Tuba, M., Subotic, M.: Improved artificial bee colony algorithm for constrained problems. In: Proceedings of 11th WSEAS International Conference on Fuzzy Systems 2010, pp. 185–190 (2010)

    Google Scholar 

  3. Czerniak, J.: Evolutionary approach to data discretization for rough sets theory. Fundamenta Informaticae 92(1-2), 43–61 (2009)

    MathSciNet  Google Scholar 

  4. Czerniak, J.M., Apiecionek, Ł., Zarzycki, H.: Application of ordered fuzzy numbers in a new oFNAnt algorithm based on ant colony optimization. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B. z. (eds.) BDAS 2014. CCIS, vol. 424, pp. 259–270. Springer, Heidelberg (2014)

    Chapter  Google Scholar 

  5. Ewald, D., Czerniak, J.M., Zarzycki, H.: Approach to solve a criteria problem of the ABC algorithm used to the WBDP multicriteria optimization. In: Angelov, P., Atanassov, K.T., Doukovska, L., Hadjiski, M., Jotsov, V., Kacprzyk, J., Kasabov, N., Sotirov, S., Szmidt, E., Zadrożny, S. (eds.) Intelligent Systems’2014. AISC, vol. 322, pp. 129–137. Springer, Heidelberg (2015)

    Google Scholar 

  6. Flizikowski, J.: Micro- and Nano-energy grinding. Pan Stanford Publishing 2011 (2011)

    Google Scholar 

  7. Flizikowski, J.: Rozdrabnianie tworzyw sztucznych. ATR Publishing House, Bydgoszcz (1998)

    Google Scholar 

  8. Karaboga, D.: An idea based on honey bee swarm for numerical optimization. Technical report-tr06, Technical Report-TR06, Erciyes University, Engineering Faculty, Computer Engineering Department, Turkey (2005)

    Google Scholar 

  9. Karaboga, D., Basturk, B.: Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems. In: Melin, P., Castillo, O., Aguilar, L.T., Kacprzyk, J., Pedrycz, W. (eds.) IFSA 2007. LNCS (LNAI), vol. 4529, pp. 789–798. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  10. Lesiak, P., Świsulski, D.: Komputerowa technika pomiarowa w przykadach (Examples of computerized measuring techniques). PAK, Warsaw (2002)

    Google Scholar 

  11. Lindauer, M.: Communication among social bees. Harvard books in biology (1971)

    Google Scholar 

  12. Macko, M.: Metoda doboru rozdrabniaczy wielokrawdziowych do przerbki materiaw polimerowych (Multi-edge grinders selection method for polymer materials processing), p. 177. Publishing house of UKW, Bydgoszcz (2011)

    Google Scholar 

  13. Marbac-Lourdelle, M.: Model-based clustering for categrocial and mixed data sets. Statitics, Universite de Lille 1, Ph.D. Thesis (2014)

    Google Scholar 

  14. Pahl, M.H.: Zerkleinerungstechnik. Praxiswissen Verfahrenstechnik. Mechanische Verfahrenstechnik. Auflage, Leipzig (1993)

    Google Scholar 

  15. Pieńkowski, G.: Ocena energochonnoci operacji obrbki ubytkowej (energy consumption assessment of material removal processes). Thesis, Wrocaw University of Technology (2006)

    Google Scholar 

  16. Sameon, D.F., Shamsuddin, S.M., Sallehuddin, R., Zainal, A.: Compact classification of optimized boolean, reasoning with particle swarm optimization. Intelligent Data Analysis 16, 915–931 (2012)

    Google Scholar 

  17. Stanarevic, N., Tuba, M., Bacanin, N.: Enhanced artificial bee colony algorithm performance. Latest Trends on Computers 2, 443–444 (2010)

    Google Scholar 

  18. Tanaka, K.: Assessment of energy efficiency performance measures in industry and their application for policy. Energy Policy 36, 2877–2892 (2008)

    Article  Google Scholar 

  19. Weger, O., Henseler, P., Bongulielmi, L., Birkhofer, H., Meier, M.: Sustainability in the information society. In: 15th Int. Symp. Inf. for Environ. Protection ETH Zürich, Switzerland, Umwelt. aktuell (2001)

    Google Scholar 

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Authors and Affiliations

  1. Institute of Technology, Kazimierz Wielki University in Bydgoszcz, ul. Chodkiewicza 30, 85-064, Bydgoszcz, Poland

    Jacek Czerniak & Dawid Ewald

  2. Institute of Mechanics and Applied Computer Science, Kazimierz Wielki University in Bydgoszcz, Bydgoszcz, Poland

    Marek Macko, Grzegorz Śmigielski & Krzysztof Tyszczuk

Authors
  1. Jacek Czerniak
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  2. Dawid Ewald
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  3. Marek Macko
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  4. Grzegorz Śmigielski
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  5. Krzysztof Tyszczuk
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Corresponding author

Correspondence to Jacek Czerniak .

Editor information

Editors and Affiliations

  1. Silesian University of Technology, Gliwice, Poland

    Stanisław Kozielski

  2. Silesian University of Technology, Gliwice, Poland

    Dariusz Mrozek

  3. Silesian University of Technology, Gliwice, Poland

    Paweł Kasprowski

  4. Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Silesian University of Technology, Gliwice,, Poland

    Daniel Kostrzewa

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Czerniak, J., Ewald, D., Macko, M., Śmigielski, G., Tyszczuk, K. (2015). Approach to the Monitoring of Energy Consumption in Eco-grinder Based on ABC Optimization. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures and Structures. BDAS 2015. Communications in Computer and Information Science, vol 521. Springer, Cham. https://doi.org/10.1007/978-3-319-18422-7_46

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  • DOI: https://doi.org/10.1007/978-3-319-18422-7_46

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18421-0

  • Online ISBN: 978-3-319-18422-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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