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2023 Photonics and Electromagnetics Research Symposium, PIERS 2023 - Proceedings2023, Pages 1856-18612023 Photonics and Electromagnetics Research Symposium, PIERS 2023; Prague; Czech Republic; 3 July 2023 through 6 July 2023; Category numberCFP23C18-ART; Code 192077

A Hidden Knowledge in Long-Term EMF Monitoring of EMF RATEL Monitoring Network(Conference Paper)

  • Djuric, N.,
  • Skoric, T.,
  • Kljajic, D.,
  • Otasevic, V.,
  • Djuric, S.
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  • aUniversity of Novi Sad, Faculty of Technical Sciences, Novi Sad, Serbia
  • bRegulatory Agency for Electronic Communications and Postal Services (RATEL), Belgrade, Serbia
  • cInstitute BioSens, University of Novi Sad, Novi Sad, Serbia

Abstract

The long-term electromagnetic field (EMF) monitoring has become an imperative task in modern EMF investigation, particularly in areas of increased sensitivity to EMF exposure. Such kind of monitoring can provide valuable information on EMF variability, as well as some additional, hidden, knowledge from its continuous measurement data series. This paper will present an approach of the EMF behavior extraction from the measurement results, based on the averaging over time. The case study of the five-year monitoring period was analyzed, in which data seta was acquired by the sensor of the Serbian EMF RATEL monitoring network, in the University of Novi Sad (UNS) campus. © 2023 IEEE.

Indexed keywords

Engineering uncontrolled termsBehavior extractionsContinuous measurementsData seriesElectromagnetic field exposureField investigationField monitoringField variabilityHidden knowledgeMeasurement dataMonitoring network
Engineering main heading:Electromagnetic fields

Funding details

Funding sponsor Funding number Acronym
451-03-47/2023-01/200156

  • 1

    This paper is supported by PSSTD APV, through the project 142-451-3156/2022-01/02 and MSTDI of the Republic of Serbia, through the project 451-03-47/2023-01/200156.

  • ISBN: 979-835031284-3
  • Source Type: Conference Proceeding
  • Original language: English
  • DOI: 10.1109/PIERS59004.2023.10221410
  • Document Type: Conference Paper
  • Publisher: Institute of Electrical and Electronics Engineers Inc.


© Copyright 2023 Elsevier B.V., All rights reserved.

Cited by 3 documents

Song, X. , Feng, W. , Yang, C.
Study on field strength prediction using different models on time series from urban continuous RF-EMF monitoring
(2025) Expert Systems with Applications
Djuric, N. , Kljajic, D. , Pasquino, N.
Extraction of Concealed Features from RF-EMF Monitoring at Kindergartens and Schools
(2024) IEEE Access
Pasquino, N. , Solmonte, N. , Djuric, N.
Model-Based Clustering of RF-EMF Monitoring Data to Analyze Time Variability
(2024) 2024 IEEE International Symposium on Measurements and Networking, M and N 2024 - Proceedings
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