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Intelligent Data Processing in Recycling of Household Appliances

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Book cover Hybrid Artificial Intelligent Systems (HAIS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7209))

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Abstract

This paper presents processes of numerical data processing and objects digitalizing in recycling of household appliances. General description of technological line designed for refrigerators recycling. Processes of refrigerator housing scanning and scanned data processing are presented. Algorithm of scanning process, data filtration and key parameters getting are described in details. Moreover, database designed for storing scanned data is presented.

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Author information

Authors and Affiliations

  1. Institute of Production Engineering and Automation, Wrocław University of Technology, Lukasiewicza st, 50-371, Wroclaw, Poland

    Edward Chlebus, Kamil Krot, Michał Kuliberda & Bolesław Jodkowski

Authors
  1. Edward Chlebus
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  2. Kamil Krot
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  3. Michał Kuliberda
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  4. Bolesław Jodkowski
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Editor information

Editors and Affiliations

  1. Universidad de Salamanca, Plaza de la Merced S/N, 37008, Salamanca, Spain

    Emilio Corchado

  2. VŠB-TU Ostrava 17, Listopadu 15, 70833, Ostrava, Czech Republic

    Václav Snášel

  3. Machine Intelligence Research Labs Machine Intelligence Research Labs(MIR Labs),, Scientific Network for Innovation and Research Excellence, P.O. Box 2259, 98071, Auburn, Washington, USA

    Ajith Abraham

  4. Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370, Wroclaw, Poland

    Michał Woźniak

  5. University of the Basque Country, Pº Manuel Lardizabal 1, 20018, San Sebastian, Spain

    Manuel Graña

  6. Yonsei University, 134 Shinchon-dong, 120-749, Sudaemoon-ku, Seoul, Korea

    Sung-Bae Cho

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© 2012 Springer-Verlag Berlin Heidelberg

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Chlebus, E., Krot, K., Kuliberda, M., Jodkowski, B. (2012). Intelligent Data Processing in Recycling of Household Appliances. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, SB. (eds) Hybrid Artificial Intelligent Systems. HAIS 2012. Lecture Notes in Computer Science(), vol 7209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28931-6_23

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  • DOI: https://doi.org/10.1007/978-3-642-28931-6_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28930-9

  • Online ISBN: 978-3-642-28931-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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