Determination of Survivability Indicator of Unmanned Aerial Vehicle Acoustic Detection System

The example of an acoustic detection system for unmanned aerial vehicles demonstrates the capabilities of the logic-probabilistic trajectory modeling method for determining the survivability indicators of safety-critical systems with a grid structure of communication networks. Based on the proposed method, it is possible to create an automated system for assessing the survivability of safety-critical systems. This system will allow the designer to obtain quantitative values of survivability indicators at the stage of system engineering design, when the systems are still not physically implemented, through modeling. This will enable conducting a multi-variant analysis of design solutions, increasing the efficiency of system design, and significantly reducing time costs.

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Publication Details

Published
2024-09-19
DOI
https://doi.org/10.1109/acit62333.2024.10712562
Citations
1
Primary Topic
Advanced Measurement and Detection Methods
Type
article
Field-Weighted Citation Impact
0.21
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article

Determination of Survivability Indicator of Unmanned Aerial Vehicle Acoustic Detection System

Ю.О. Жук, Bohdan Volochiy, Leonid Ozirkovskyy, Nazar Pryymak
1 citations
Advanced Measurement and Detection Methods
0.21
article

Determination of Survivability Indicator of Unmanned Aerial Vehicle Acoustic Detection System

Ю.О. Жук, Bohdan Volochiy, Leonid Ozirkovskyy, Nazar Pryymak
article en
1 citations

Abstract

The example of an acoustic detection system for unmanned aerial vehicles demonstrates the capabilities of the logic-probabilistic trajectory modeling method for determining the survivability indicators of safety-critical systems with a grid structure of communication networks. Based on the proposed method, it is possible to create an automated system for assessing the survivability of safety-critical systems. This system will allow the designer to obtain quantitative values of survivability indicators at the stage of system engineering design, when the systems are still not physically implemented, through modeling. This will enable conducting a multi-variant analysis of design solutions, increasing the efficiency of system design, and significantly reducing time costs.

Lviv Polytechnic National University (UA)
Openalex Percentile: Top 47%
Advanced Measurement and Detection Methods
0.21
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