• DocumentCode
    2026700
  • Title

    The PZMI and Artificel Neural Network to identify the electromagnetic radiation sources

  • Author

    Saidi, Selma ; Ben Hadj Slama, Jaleleddine

  • Author_Institution
    SAGE, Nat. Eng. Sch. of Sousse, Sousse, Tunisia
  • fYear
    2012
  • fDate
    25-28 March 2012
  • Firstpage
    412
  • Lastpage
    416
  • Abstract
    In this paper, the Artificial Neural Network (ANN) and the Pseudo Zernike Moment Invariant (PZMI) is applied to search and identify the radiation sources using its measured electromagnetic Near Field (NF) cartography. The electronic circuits have various configurations that provide the different NF distribution; however, the PZMI and the trained ANN can identify the configurations of those circuits. Both techniques will be included an algorithm scan-window In this document, we focused our work to choice the optimal sizes of the scan-window.
  • Keywords
    electromagnetic waves; magnetic moments; neural nets; PZMI; algorithm scan-window; artificial neural network; electromagnetic near field cartography; electromagnetic radiation source; electronic circuit; pseudo Zernike moment invariant; Artificial neural networks; Electromagnetics; Magnetic resonance imaging; Neurons; Noise measurement; Training; Vectors; Electromagnetic near-field; Neurenal Network; PZMI; electromagnetic compatibility; scan-window;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
  • Conference_Location
    Yasmine Hammamet
  • ISSN
    2158-8473
  • Print_ISBN
    978-1-4673-0782-6
  • Type

    conf

  • DOI
    10.1109/MELCON.2012.6196461
  • Filename
    6196461