Paper
3 February 2023 Analysis method of weapon equipment capability emergence based on incidence matrix
Zhiming Guo, Liang Gao, Long Chen, Ting Pang, Di Wang
Author Affiliations +
Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125110J (2023) https://doi.org/10.1117/12.2660695
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China
Abstract
To solve the problem that it is difficult to measure the emergence of weapon equipment capability, an analysis method of emergence of weapon equipment capability based on incidence matrix is proposed. According to the characteristics of the emergence of new capabilities from various types of equipment coordination in the weapon equipment system, the relationship between equipment and capabilities in the system is analysed by using the association matrix. In order to unify the capabilities of a single type of equipment in the system and the capabilities emerging from equipment coordination to construct the integrated matrix of equipment capability, based on the correlative analysis of equipment capability. Finally, the effectiveness and rationality of the method are verified by an example. The results show that this method can measure the capability emergence of each equipment in the weapon equipment system.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiming Guo, Liang Gao, Long Chen, Ting Pang, and Di Wang "Analysis method of weapon equipment capability emergence based on incidence matrix", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125110J (3 February 2023); https://doi.org/10.1117/12.2660695
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KEYWORDS
Weapons

Positioning equipment

Reconnaissance systems

Analytical research

Complex adaptive systems

Information fusion

Instrument modeling

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