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
Link To Document :
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