Ontology-based Instantaneous Route Suggestion of Enemy Warplanes with Unknown Mission Profile

Abstract

The routes of warplanes are planned confidentially, and they are not shared with any organization in advance. In some cases, border violations may occur, and as a result, it increases the tension between two states. This situation puts many people at risk and impairs the prestige of the state both economically and socially. In this paper, Ontology-Based Instantaneous Route Suggestion System (SUARSIS) based on semantic approach is proposed to predict and plan routes of warplanes before they reach their target. In the proposed system, we developed an architecture called Ontology-based Route Suggestion by using the OWL (Web Ontology Language) language with realistic data. The aircraft model, aircraft fuel system, features of the military field, and the relations in the semantic context are logically defined through ontology. Synthetic scenarios were created to validate the accuracy of the proposed method. Experimental results show that the proposed system has a good performance on predicting warplane routes.

Vision-Based Moving UAV Tracking by Another UAV on Low-Cost Hardware and a New Ground Control Station

“…In this context, represents the velocity of the air flowing around the solid object, α refers to the angle of attack of the aircraft, is the aerodynamic force which is perpendicular to the air velocity (lift), is the component parallel to the air velocity (drag), and finally, is the aerodynamic effect force resultant affecting a solid object [28].…”