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