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
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;
Conference_Titel :
Electrotechnical Conference (MELECON), 2012 16th IEEE Mediterranean
Conference_Location :
Yasmine Hammamet
Print_ISBN :
978-1-4673-0782-6
DOI :
10.1109/MELCON.2012.6196461