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DOI: 10.14569/IJACSA.2020.0110575
PDF

Thinging-Oriented Modeling of Unmanned Aerial Vehicles

Author 1: Sabah Al-Fedaghi
Author 2: Jassim Al-Fadhli

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 5, 2020.

  • Abstract and Keywords
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Abstract: In recent years, there has been a dramatic increase in both practical and research applications of unmanned aerial vehicles (UAVs). According to the literature, there is a need in this area to develop a more refined model of UAV system architecture—in other words, a conceptual model that defines the system’s structure and behavior. The existing models mostly are fractional and do not account for the entire important dynamic attributes. Progress in this area could reduce ambiguity and increase reliability in the design of such systems. This paper aims to advance the modeling of UAV system architecture by adopting a conceptual model called a thinging (abstract) machine in which all of the UAV’s software and hardware components are viewed in terms of the flow of things and five generic operations. We apply this model to a real case study of a drone. The results— an integrated conceptual representation of the drone—support the viability of this approach.

Keywords: Unmanned aerial vehicle (UAV); drone; conceptual modeling; diagrammatic representation; system architecture

Sabah Al-Fedaghi and Jassim Al-Fadhli, “Thinging-Oriented Modeling of Unmanned Aerial Vehicles” International Journal of Advanced Computer Science and Applications(IJACSA), 11(5), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110575

@article{Al-Fedaghi2020,
title = {Thinging-Oriented Modeling of Unmanned Aerial Vehicles},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110575},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110575},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {5},
author = {Sabah Al-Fedaghi and Jassim Al-Fadhli}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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