Determining the Type of Interference in a Receiving Antenna Using Machine Learning in Fog Computing Environments

This article describes a small view of the interference type in the receiving antenna. The new opportunities of computing vision for the conception of oscillograms for a specialist in digital signal processing are described. A new approach is proposed for the interaction of a specialist in digital s...

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Bibliographic Details
Published in2022 International Conference on Quality Management, Transport and Information Security, Information Technologies (IT&QM&IS) pp. 311 - 314
Main Author Subbotin, Alexey N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 26.09.2022
Subjects
Cloud computing
Computer architecture
computer vision
Digital signal processing
fog and cloud computing
image and pattern recognition
Interference
Internet of Things
Machine learning
Pattern recognition
receiving antenna
Receiving antennas
types of electrical interference
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Summary:This article describes a small view of the interference type in the receiving antenna. The new opportunities of computing vision for the conception of oscillograms for a specialist in digital signal processing are described. A new approach is proposed for the interaction of a specialist in digital signal processing and interference with pattern recognition using a smartphone. According to three standards, at the design stage, a description of the architecture of the proposed system is given. An approach for a smartphone has been created and viewed. Efficiency of using fog and cloud computing to determine types of interference using pattern recognition has been proven, and specific examples are provided.
DOI:10.1109/ITQMIS56172.2022.9976645