Theses and Dissertations

ORCID

https://orcid.org/0009-0000-6391-1635

Advisor

Khan, Samee

Committee Member

Ball, John E.

Committee Member

Luo, Chaomin

Date of Degree

8-13-2024

Original embargo terms

Visible MSU Only 1 year

Document Type

Graduate Thesis - Open Access

Major

Electrical & Computer Engineering

Degree Name

Master of Science (M.S.)

College

James Worth Bagley College of Engineering

Department

Department of Electrical and Computer Engineering

Abstract

Unmanned aerial systems (UAS) have become wildly popular over the past decade. With the increased demand of these systems, it is imperative for agencies such as the Federal Aviation Administration (FAA) to integrate rules and regulations of UAS into the National Airspace System (NAS). In 2023, a UAS Integration Safety and Security Technology Ontology (ISSTO) was developed in the Web Ontology Language (OWL) to aid in this integration. To further aid UAS integration into the NAS, it becomes necessary to develop methods for training new pilots, air traffic control operators, drone operators, etc. This paper proposes a query application that allows new operators to query through ISSTO and efficiently access UAS and counter-UAS information from the knowledge domains contained within the ontology. These knowledge domains include information on various FAA regulations and authorizations, National Airspace classifications, counter-UAS procedures and more. The application developed in this thesis serves as a proof of concept for a commercialized training product.

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