Confidence factor Variations for Aerial Threat Perception

摘要：

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.

关键词： Aerial Threat Confidence Threat Perception Confidence Confidence factor Variation Aerial Architecture Confidence

作者: M. Anwar-ul-Haq Shoab A. Khan

作者单位: Department of Computer Engineering, E&ME National University of Science and Technology Islamabad. Pa Department of Computer Engineering, E&ME National University of Science and Technology Islamabad, Pa

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 70-73

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）