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Modeling Context-Aware and Agent-Ready Systems for the Outdoor Smart Lighting

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Artificial Intelligence and Soft Computing (ICAISC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8468))

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Abstract

Smart lighting systems considered as context-awareness systems are challenging. The use of advanced technology for street lighting allows to achieve a number of potential benefits of improving the efficiency of lighting, enhance the ability to monitor and control street lighting. A context-aware based system in architecture for street lighting control dealing with intelligent software applications in pervasive computing has been proposed. Some diagrams in the UML language are extended by some elements of the CML language in order to provide possibilities to design and verify behaviour of context-aware-based systems.

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Author information

Authors and Affiliations

  1. AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Krakow, Poland

    Radosław Klimek & Grzegorz Rogus

Authors
  1. Radosław Klimek
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  2. Grzegorz Rogus
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Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Armii Krajowej 36, 42-200, Częstochowa, Poland

    Leszek Rutkowski  & Rafał Scherer  & 

  2. Częstochowa University of Technology, 42-200, Częstochowa, Poland

    Marcin Korytkowski

  3. AGH University of Science and Technology, Mickiewicza 30, 30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Computer Science Division, Department of Electrical Engineering and Computer Sciences, University of California Berkeley, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory, Electrical and Computer Engineering, University of Louisville, 405 Lutz Hall, 40292, Louisville, KY, USA

    Jacek M. Zurada

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© 2014 Springer International Publishing Switzerland

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Klimek, R., Rogus, G. (2014). Modeling Context-Aware and Agent-Ready Systems for the Outdoor Smart Lighting. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2014. Lecture Notes in Computer Science(), vol 8468. Springer, Cham. https://doi.org/10.1007/978-3-319-07176-3_23

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  • DOI: https://doi.org/10.1007/978-3-319-07176-3_23

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07175-6

  • Online ISBN: 978-3-319-07176-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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