Abstract—This paper presents confidence factor variations for simulated threat perception architecture contributing a better way to quantify the results for threat perception accuracy. Our technique incorporates using data mining algorithms to find effective data patterns and matching the flight parameters with these patterns to give a percentage match. A confidence criterion is proposed to depict these results effectively and show variations for aerial threat prediction. We conclude that maximum confidence percentage can be achieved by using the maximum confidence factors. Each confidence factor returns maximum confidence when offsets and increments close to zero which is the ideal match brings the return.
Index Terms—Aerial Threat Confidence, Aerial Architecture Confidence, Confidence factor Variation, Threat Perception Confidence.
The authors are with National University of Science & Technology (e-mail: anwar136@gmail.com).
Cite: M. Anwar-ul-Haq and Shoab A. Khan, "Confidence Factor Variations for Aerial Threat Perception," International Journal of Information and Electronics Engineering vol. 2, no. 3, pp. 467-469, 2012.