Extraction of Concealed Features From RF-EMF Monitoring at Kindergartens and Schools

Modern electromagnetic field (EMF) monitoring networks, such as the Serbian EMF RATEL network, are based on continuous EMF monitoring and offer daily observation of EMF levels in areas where people can reside for many hours a day and, consequently, experience an increased sensitivity to EMF exposure...

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Main Authors: Nikola Djuric, Dragan Kljajic, Nicola Pasquino, Vidak Otasevic, Snezana Djuric
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10778486/
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author Nikola Djuric
Dragan Kljajic
Nicola Pasquino
Vidak Otasevic
Snezana Djuric
author_facet Nikola Djuric
Dragan Kljajic
Nicola Pasquino
Vidak Otasevic
Snezana Djuric
author_sort Nikola Djuric
collection DOAJ
description Modern electromagnetic field (EMF) monitoring networks, such as the Serbian EMF RATEL network, are based on continuous EMF monitoring and offer daily observation of EMF levels in areas where people can reside for many hours a day and, consequently, experience an increased sensitivity to EMF exposure. Areas of particular importance are residential locations, kindergartens, schools, hospitals, and children’s playgrounds. Such areas require daily, comprehensive EMF monitoring and compliance checking with the prescribed reference levels. The whole process must be followed by transparent presentation of measurement results, to increase public confidence in the EMF monitoring. However, any additional information on EMF behavior, beyond elementary field strength measurements, is welcome. Therefore, this paper presents an innovative EMF data analysis of monitoring results, utilizing a time-averaging approach applied to acquired EMF data. The analysis is performed on a case study of EMF-sensitive areas in the Serbian city of Novi Sad, i.e., two kindergartens and an elementary school, revealing some of the concealed features in the behavior of the EMFs exposure in those areas, through a comparative evaluation.
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spelling doaj-art-c65b0ba2aa90410c83adc4dfeef8d38b2024-12-11T00:06:04ZengIEEEIEEE Access2169-35362024-01-011218342918344310.1109/ACCESS.2024.351200110778486Extraction of Concealed Features From RF-EMF Monitoring at Kindergartens and SchoolsNikola Djuric0https://orcid.org/0000-0002-7174-3499Dragan Kljajic1https://orcid.org/0000-0001-7766-177XNicola Pasquino2https://orcid.org/0000-0002-3548-299XVidak Otasevic3Snezana Djuric4https://orcid.org/0000-0003-2718-5570Faculty of Technical Sciences, University of Novi Sad, Novi Sad, SerbiaFaculty of Technical Sciences, University of Novi Sad, Novi Sad, SerbiaDepartment of Electrical Engineering and Information Technology, University of Naples Federico II, Naples, ItalyRegulatory Agency for Electronic Communications and Postal Services (RATEL), Belgrade, SerbiaBioSense Institute, University of Novi Sad, Novi Sad, SerbiaModern electromagnetic field (EMF) monitoring networks, such as the Serbian EMF RATEL network, are based on continuous EMF monitoring and offer daily observation of EMF levels in areas where people can reside for many hours a day and, consequently, experience an increased sensitivity to EMF exposure. Areas of particular importance are residential locations, kindergartens, schools, hospitals, and children’s playgrounds. Such areas require daily, comprehensive EMF monitoring and compliance checking with the prescribed reference levels. The whole process must be followed by transparent presentation of measurement results, to increase public confidence in the EMF monitoring. However, any additional information on EMF behavior, beyond elementary field strength measurements, is welcome. Therefore, this paper presents an innovative EMF data analysis of monitoring results, utilizing a time-averaging approach applied to acquired EMF data. The analysis is performed on a case study of EMF-sensitive areas in the Serbian city of Novi Sad, i.e., two kindergartens and an elementary school, revealing some of the concealed features in the behavior of the EMFs exposure in those areas, through a comparative evaluation.https://ieeexplore.ieee.org/document/10778486/EMF monitoringwireless sensors networkdata analysistemporal variability
spellingShingle Nikola Djuric
Dragan Kljajic
Nicola Pasquino
Vidak Otasevic
Snezana Djuric
Extraction of Concealed Features From RF-EMF Monitoring at Kindergartens and Schools
IEEE Access
EMF monitoring
wireless sensors network
data analysis
temporal variability
title Extraction of Concealed Features From RF-EMF Monitoring at Kindergartens and Schools
title_full Extraction of Concealed Features From RF-EMF Monitoring at Kindergartens and Schools
title_fullStr Extraction of Concealed Features From RF-EMF Monitoring at Kindergartens and Schools
title_full_unstemmed Extraction of Concealed Features From RF-EMF Monitoring at Kindergartens and Schools
title_short Extraction of Concealed Features From RF-EMF Monitoring at Kindergartens and Schools
title_sort extraction of concealed features from rf emf monitoring at kindergartens and schools
topic EMF monitoring
wireless sensors network
data analysis
temporal variability
url https://ieeexplore.ieee.org/document/10778486/
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AT vidakotasevic extractionofconcealedfeaturesfromrfemfmonitoringatkindergartensandschools
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