This study focused on the exposure evaluation of the 2D spatial distribution of the E-field in a one-floor apartment when a WiFi source is placed in uncertain position. An innovative approach that combines a Principal Component Analysis and Kriging model in order to build space-dependent surrogate models was applied and validated. Results showed the feasibility of the approach.

Innovative stochastic modeling of residential exposure due to a WiFi source placed in uncertain position

Chiaramello E;Fiocchi S;Bonato M;Tognola G;Parazzini M;Ravazzani P
2019

Abstract

This study focused on the exposure evaluation of the 2D spatial distribution of the E-field in a one-floor apartment when a WiFi source is placed in uncertain position. An innovative approach that combines a Principal Component Analysis and Kriging model in order to build space-dependent surrogate models was applied and validated. Results showed the feasibility of the approach.
2019
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
Inglese
BioEM2019 - Annual Joint Meeting of the Bioelectromagnetics Society (BEMS) and the European BioElectromagnetics Association (EBEA)
Sì, ma tipo non specificato
23-28/06/2019
Montpellier, France
RF-EMF exposure
Stochastic dosimetry
2D surrogate models
Indoor exposure
10
none
Chiaramello, E; Plets, D; Fiocchi, S; Bonato, M; Tognola, G; Parazzini, M; Le Brusquet, L; Martens, L; Joseph, W; Ravazzani, P
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/392492
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