APPLICATION OF A HYBRID NEURAL NETWORK AE-LSTM FOR ANOMALIESb DETECTION IN CONTAINER SYSTEMS

When design satellite communication complexes that are placed on board space satellites, it is requiredto ensure a given communication quality within the established service area. The workspace insuch tasks can have a complex border shape. To cover a given area, on-board antenna systems are used,which implement a contour pattern. The quality of communication is directly related to the parameters ofthe main lobe of the directional pattern. The directional pattern should take this factor into account, andthe main lobe should be as close in shape as possible to the contour of the border of the serviced area.One of the possible options for design an antenna system with a contour pattern is the use of a reflectorantenna. The antenna has a single source and a reflector with a profiled surface. The law of profiling thereflector surface is determined by the shape of the boundary of the serviced area. At the antenna designstage, it becomes necessary to model and analyze the parameters of the radiation pattern. This requires a3D model of a profiled reflector. This 3D model is used as input data for electrodynamic modeling programs.The construction of a 3D model consists of solving the equation that describes the reflector andforming the results of solving the equation in the form of a solid. The analysis of the published articlesshowed that currently the issues of forming 3D models, taking into account the design features of reflectorantennas, are not considered in sufficient detail. The goal of the work was to build a 3D model of a profiledreflector for electrodynamic modeling, taking into account the features of the construction of reflectorantennas. To achieve this goal, the task of developing an appropriate algorithm has been solved. In thecourse of the conducted research, an algorithm for forming a profiled reflector has been developed, whichallows creating an appropriate 3D model that can be used in electrodynamic modeling tasks. The developedalgorithm converts the results of solving an equation containing information about the shape of thereflector into a discontinuous surface on which boundary conditions can be set.

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Publication Details

Journal
Izvestiâ ÛFU. Tehničeskie nauki
Published
2024-11-13
DOI
https://doi.org/10.18522/2311-3103-2024-5-38-47
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
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article

APPLICATION OF A HYBRID NEURAL NETWORK AE-LSTM FOR ANOMALIESb DETECTION IN CONTAINER SYSTEMS

Igor Kotenko, M.V. Melnik
Izvestiâ ÛFU. Tehničeskie nauki
Neural Networks and Applications
article

APPLICATION OF A HYBRID NEURAL NETWORK AE-LSTM FOR ANOMALIESb DETECTION IN CONTAINER SYSTEMS

Igor Kotenko, M.V. Melnik
article en

Abstract

When design satellite communication complexes that are placed on board space satellites, it is requiredto ensure a given communication quality within the established service area. The workspace insuch tasks can have a complex border shape. To cover a given area, on-board antenna systems are used,which implement a contour pattern. The quality of communication is directly related to the parameters ofthe main lobe of the directional pattern. The directional pattern should take this factor into account, andthe main lobe should be as close in shape as possible to the contour of the border of the serviced area.One of the possible options for design an antenna system with a contour pattern is the use of a reflectorantenna. The antenna has a single source and a reflector with a profiled surface. The law of profiling thereflector surface is determined by the shape of the boundary of the serviced area. At the antenna designstage, it becomes necessary to model and analyze the parameters of the radiation pattern. This requires a3D model of a profiled reflector. This 3D model is used as input data for electrodynamic modeling programs.The construction of a 3D model consists of solving the equation that describes the reflector andforming the results of solving the equation in the form of a solid. The analysis of the published articlesshowed that currently the issues of forming 3D models, taking into account the design features of reflectorantennas, are not considered in sufficient detail. The goal of the work was to build a 3D model of a profiledreflector for electrodynamic modeling, taking into account the features of the construction of reflectorantennas. To achieve this goal, the task of developing an appropriate algorithm has been solved. In thecourse of the conducted research, an algorithm for forming a profiled reflector has been developed, whichallows creating an appropriate 3D model that can be used in electrodynamic modeling tasks. The developedalgorithm converts the results of solving an equation containing information about the shape of thereflector into a discontinuous surface on which boundary conditions can be set.

Izvestiâ ÛFU. Tehničeskie nauki(5)
Openalex Percentile: Top 77%
Neural Networks and Applications
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