Self-Organizing Maps Classification with Application to Laptop's Adapters Magnetic Field
Abstract
This paper presents an application of the Self-Organizing-Map classification method, which is used for classification of the extremely low frequency magnetic field emission in the near neighborhood of the laptop adapters. The experiment is performed on different laptop adapters of the same characteristics. After that, the Self-Organizing-Map classification on the obtained emission data is performed. The classification results establish the typical emission levels of the laptop adapters, which are far above the safety standards' limit. At the end, a discussion is carried out about the importance of using the classification as a possible solution for safely use the laptop adapters in order to reduce the negative effects of the magnetic field emission to the laptop users.
Keywords
Cite
@article{arxiv.1711.10135,
title = {Self-Organizing Maps Classification with Application to Laptop's Adapters Magnetic Field},
author = {Darko Brodić and Alessia Amelio},
journal= {arXiv preprint arXiv:1711.10135},
year = {2017}
}
Comments
11 pages, 7 figures, in Proceedings of 5th International Conference on Renewable Electricity Sources (MKOIEE), 12-13 October 2017, Belgrade, Serbia