Prevention of Electromagnetic Impurities by Electromagnetics Intelligence
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Date
2021
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media Deutschland GmbH
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
Nowadays, electromagnetic pollution has an increasing rate. 4G and 5G battles of base stations, 3G, GPRS and radio broadcasts, incredible increase in bluetooth modules, the huge volume of electromagnetic waves generated by wireless communication while talking about smart systems and IOT, infrared systems, NFC, wireless internet networks. Even if it has not been proven that they cause human health or diseases such as infertility, why should we not work to minimize this pollution? Why not protect especially our children from such factors? We may want to take advantage of these important wireless blessings of technology despite electromagnetic impurities, but it would be more appropriate to prevent our children from being exposed to these impurities, at least in some time periods, such as sleep. Within this study; preventing electromagnetic waves from reaching children’s beds, car seats, playgrounds; measuring the frequency and amplitude values of the waves, followed by automatic generation or selection of band stop filters will be done with frequency selective surface analysis method according to these values by artificial intelligence. The decision of preventing which of the transmissions measured with the help of frequency meters and computer programs will be made by artificial intelligence, and then the information such as which electromagnetic waves are propagated more during which hours will be obtained by electromagnetics intelligence to prevent the impurities. According to the information obtained, the use of band stop filters in various fields may become more common. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Description
Keywords
Band stop filter, Electromagnetic ımpurities and pollution, Electromagnetics intelligence, Frequency selective surface analysis
Journal or Series
Lecture Notes on Data Engineering and Communications Technologies
WoS Q Value
Scopus Q Value
Q3
Volume
76
