The magnetic field exposure of the laptop users represents an important task to be researched. This paper proposes an artificial neural network model for the prediction of the extremely low-frequency magnetic field produced by laptops. It is based on measurement data of 10 laptops and a 3-input vector representing typical laptop characteristics. The novelty of the proposed model is that it is created in order to predict the level of the magnetic field emission produced by a laptop when it is powered by both alternating current and battery. Then, the obtained data are classified by the self-organizing map method to describe the safe or dangerous level of a laptop. At the end, a few suggestions are proposed for a safer use of the laptops.
Classification of the Laptop's Extremely Low Frequency Magnetic Field with Alternating Current and Battery
Amelio A.
2021-01-01
Abstract
The magnetic field exposure of the laptop users represents an important task to be researched. This paper proposes an artificial neural network model for the prediction of the extremely low-frequency magnetic field produced by laptops. It is based on measurement data of 10 laptops and a 3-input vector representing typical laptop characteristics. The novelty of the proposed model is that it is created in order to predict the level of the magnetic field emission produced by a laptop when it is powered by both alternating current and battery. Then, the obtained data are classified by the self-organizing map method to describe the safe or dangerous level of a laptop. At the end, a few suggestions are proposed for a safer use of the laptops.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
