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    Internet of Things. Information Processing in an Increasingly Connected World

    First IFIP International Cross-Domain Conference, IFIPIoT 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Poznan, Poland, September 18-19, 2018, Revised Selected Papers

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    Contributor(s)
    Strous, Leon (editor)
    Cerf, Vinton G. (editor)
    Language
    English
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    Abstract
    This open access book constitutes the refereed post-conference proceedings of the First IFIP International Cross-Domain Conference on Internet of Things, IFIPIoT 2018, held at the 24th IFIP World Computer Congress, WCC 2018, in Poznan, Poland, in September 2018. The 12 full papers presented were carefully reviewed and selected from 24 submissions. Also included in this volume are 4 WCC 2018 plenary contributions, an invited talk and a position paper from the IFIP domain committee on IoT. The papers cover a wide range of topics from a technology to a business perspective and include among others hardware, software and management aspects, process innovation, privacy, power consumption, architecture, applications.
    URI
    http://library.oapen.org/handle/20.500.12657/23113
    Keywords
    Computer science; Special purpose computers; Application software; Computer communication systems; Artificial intelligence; Computer system failures; Operating systems (Computers)
    DOI
    10.1007/978-3-030-15651-0
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2019
    Series
    IFIP Advances in Information and Communication Technology,
    Classification
    Network hardware
    Operating systems
    Information retrieval
    Systems analysis & design
    Artificial intelligence
    Expert systems / knowledge-based systems
    Pages
    235
    Rights
    https://creativecommons.org/licenses/by/4.0
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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