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Journal Article Level and Program Analytics of MUM-T System
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Authors
Byung Woon Kim, Ga Eun Choi
Issue Date
2024-04
Citation
International Journal of Aeronautical and Space Sciences, v.25, no.2, pp.593-604
ISSN
2093-274X
Publisher
The Korean Society for Aeronautical & Space Sciences
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1007/s42405-023-00675-4
Abstract
This study establishes the concept and classification system of MUM-T for the operation and development of AI-based complex combat systems. We analyze the core aspects of this system: autonomy, interoperability, and program level. AI MUM-T can improve the survivability of manned systems, expand their operational range, and increase combat effectiveness. We analyze technical challenges and program levels using data from the USA and UK, which are building the AI MUM-T integrated combat system. Currently, MUM-T is at the level of complex operation of a manned platform and an unmanned aerial vehicle platform. In the mid to long term, interoperable communication between heterogeneous platforms such as unmanned ground vehicles, unmanned surface vehicles, and unmanned underwater vehicles is possible. Depending on the level of development of the common architecture and standard protocols for interoperability between AI MUM-T systems, MUM-T can evolve from the “1 to N” concept to various combinations of operating concepts from “N to N.” The difference of this study from existing studies is that the core technologies of the fourth industrial revolution, such as AI, autonomy, and data interoperability, are reflected in the MUM-T system. In addition, an AI-enabled autonomous MUM-T operation and facility classification system was established by reflecting AI and autonomy in the existing unmanned system taxonomy, and the level and program were analyzed taking this into consideration.
KSP Keywords
Classification system, Combat System, Combat effectiveness, Common architecture, Heterogeneous platforms, Interoperable Communication, Level of development, Technical Challenges, Unmanned ground Vehicle, Unmanned systems, Vehicle platform
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
CC BY