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Automatic Data Quality Control for Environmental Measurements

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Large-Scale Scientific Computing (LSSC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8353))

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Abstract

The modern physics requires a large uninterrupted data for advanced study. The research data must be reliable, precise, adequate and available on time. Therefore advanced information systems should be developed and used. These systems must implement the most advanced technologies, algorithms and knowledge of informatics, programming and mathematics. This article describes a neural network model of automatic data quality control for large amount of real time uninterrupted data, implemented in the Institute for Nuclear Research and Nuclear Energy (INRNE) at the Basic Environmental Observatory (BEO) at Moussala.

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Author information

Authors and Affiliations

  1. Institute for Nuclear Research and Nuclear Energy–BAS, 72 Tzarigradsko Chaussee, Blvd., 1784, Sofia, Bulgaria

    A. Tchorbadjieff

Authors
  1. A. Tchorbadjieff
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Correspondence to A. Tchorbadjieff .

Editor information

Editors and Affiliations

  1. Inst. of Info. & Comm. Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Ivan Lirkov

  2. Bulgarian Academy of Sciences, Sofia, Bulgaria

    Svetozar Margenov

  3. Dept. of Informatics and Mathematical Modell, Technical University of Denmark, Kongens Lyngby, Denmark

    Jerzy Waśniewski

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Tchorbadjieff, A. (2014). Automatic Data Quality Control for Environmental Measurements. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2013. Lecture Notes in Computer Science(), vol 8353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43880-0_48

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  • DOI: https://doi.org/10.1007/978-3-662-43880-0_48

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-43879-4

  • Online ISBN: 978-3-662-43880-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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