Test Method for Automatic Detection Capability of Civil Aviation Security Equipment Using Bayesian Estimation
- Resource Type
- Conference
- Authors
- Xie, Junliang; She, Hong; Chen, Xi; Zhang, Hangting; Niu, Yijie
- Source
- 2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT Civil Aviation Safety and Information Technology (ICCASIT), 2020 IEEE 2nd International Conference on. :831-835 Oct, 2020
- Subject
- Computing and Processing
Engineering Profession
Robotics and Control Systems
Monte Carlo methods
Estimation
Markov processes
Bayes methods
Safety
Security
Information technology
prohibited items
detection rate
false alarm rate
Bayesian estimation
civil aviation security equipment
- Language
There are a lot of emerging security equipment required to be tested on detection rate (DR) and false alarm rate (FAR) for prohibited items. This article imports Bayesian approach to accept or reject DR and FAR. The detailed quantitative predictions can be made through the posterior distribution obtained by Markov chain Monte Carlo method. Based on this, HDI + ROPE decision rule is established. For the tests that need to make early decision, HDI + ROPE stopping rule is presented with biased estimate value, and criterial precision rule is presented with unbiased estimate value. Choosing the stopping rule according to the test purpose can achieve the balance of efficiency and accuracy.