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Theoretical Applications of Magnetic Fields at Tremendously Low Frequency in Remote Sensing and Electronic Activity Classification

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Advances in Computer Vision and Computational Biology

Abstract

This study was conducted to demonstrate the potential for magnetic fields to serve as a method of remotely sensing electronic activity and to evaluate the potential for classifying the electronic activity. To demonstrate this, a radio frequency generator, antenna, and oscilloscope were placed inside a Faraday cage with varying frequencies transmitted in the range of 1–1000 Hz. A standard radio frequency antenna and magnetic loop antennas were placed outside the Faraday cage and the results were compared to each other as well as natural ambient signals. The results showed positive detection of magnetic field activity outside of the Faraday cage in the transmitted frequencies, with no detection with the radio frequency antenna. They also demonstrated the inability of a Faraday cage to attenuate magnetic fields of objects inside the cage. Errors that produced anomalies in the first attempt served to further validate the collection of the data by generating positive detection on both antennas. Ultimately the use of magnetic field antennas to detect electronic activity demonstrated potential use in a radio frequency adverse environment.

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Correspondence to Christopher Duncan .

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Duncan, C., Gkountouna, O., Mahabir, R. (2021). Theoretical Applications of Magnetic Fields at Tremendously Low Frequency in Remote Sensing and Electronic Activity Classification. In: Arabnia, H.R., Deligiannidis, L., Shouno, H., Tinetti, F.G., Tran, QN. (eds) Advances in Computer Vision and Computational Biology. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-71051-4_18

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  • DOI: https://doi.org/10.1007/978-3-030-71051-4_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-71050-7

  • Online ISBN: 978-3-030-71051-4

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