Innovative Stochastic Modeling of Residential Exposure to Radio Frequency Electromagnetic Field Sources | IEEE Journals & Magazine | IEEE Xplore

Innovative Stochastic Modeling of Residential Exposure to Radio Frequency Electromagnetic Field Sources


Use of 2-dimensional stochastic approach to assess indoor exposure to a WiFi source in residential apartment: schematic view of the exposure scenario and main steps of th...
Impact Statement:Take-Home Messages • An innovative 2-dimensional stochastic approach based on the combination of principal component analysis and Kriging method was proposed and applied ...Show More

Abstract:

This study focused on the assessment of radio-frequency electromagnetic fields (RF-EMF) exposure in a realistic apartment due to the presence of a WiFi source deployed in...Show More
Impact Statement:
Take-Home Messages • An innovative 2-dimensional stochastic approach based on the combination of principal component analysis and Kriging method was proposed and applied to evaluate how the spatial distribution of RF-EMF emitted by a WiFi source in a realistic residential environment was influenced by the uncertainty of the exposure scenario. • In three different usage scenarios of the WiFi source, i.e. surfing to a new web site, using a Skype video call and watching a You Tube video at 1080p, electric field strength in the apartment was found to have median values in the range 2.2 – 96.1 mV/m and 90th percentiles in the range 4.9-209.3 mV/m. • The targeted biological application are the RF-EMF exposure levels in a residential environment when a WiFi source is placed in unknown positions.

Abstract:

This study focused on the assessment of radio-frequency electromagnetic fields (RF-EMF) exposure in a realistic apartment due to the presence of a WiFi source deployed in uncertain position. In order to describe the 2D spatial distribution of electric field induced in the whole apartment for whatever position of the WiFi source, an innovative approach that combines Principal Component Analysis (PCA) and Gaussian process regression (Kriging method) was applied. The 2D surrogate model was used to investigate the exposure in three different usage scenarios of the WiFi sources, i.e. surfing to a new web site, using a Skype video call and watching a You Tube video at 1080p, evaluating the electric field E induced at each location of the apartment for 10,000 different positions of the source. Across all the examined conditions, we found E values distributions with median values in the range 2.2-96.1 mV/m and 90th percentiles in the range 4.9-209.3 mV/m. The 2D surrogate model allowed obtaini...
Use of 2-dimensional stochastic approach to assess indoor exposure to a WiFi source in residential apartment: schematic view of the exposure scenario and main steps of th...
Page(s): 62 - 69
Date of Publication: 14 May 2020

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