Enhanced MMW and SMMW/THz imaging system performance prediction and analysis tool for concealed weapon detection and pilotage obstacle avoidance

2017 ◽  
Vol 56 (3) ◽  
pp. B231 ◽  
Author(s):  
Steven R. Murrill ◽  
Charmaine C. Franck ◽  
Eddie L. Jacobs ◽  
Douglas T. Petkie ◽  
Frank C. De Lucia
1987 ◽  
Vol 31 (3) ◽  
pp. 358-362 ◽  
Author(s):  
Floyd A. Glenn ◽  
A. O. Dick ◽  
Alvah C. Bittner

This paper presents the concept of an Automated Job Analysis Tool (AJAT) which predicts personnel characteristics that are required in order to ensure acceptable human-system performance with a specified system design. The scope of this tool is intended to be quite broad, applying to all types of military systems, addressing the performance of both operators and maintainers, providing a means for considering training issues, and incorporating the effects of all relevant performance-impacting factors. In order to achieve this objective, several major innovations in performance prediction technology are required; these are described in this paper in terms of AJAT requirements, current technology status, and a plan for developing and validating the required capabilities. The AJAT concept is based on the use of existing models (i.e., HOS, CAR, and possibly others) to predict performance under specified conditions and the use of a factor-analytic framework to achieve efficient mapping of the performance space of interest.


2014 ◽  
Vol 486 ◽  
pp. 012027 ◽  
Author(s):  
Artem N Perov ◽  
Kirill I Zaytsev ◽  
Irina N Fokina ◽  
Valeriy E Karasik ◽  
Egor V Yakovlev ◽  
...  
Keyword(s):  

2018 ◽  
Vol 113 ◽  
pp. 270-278 ◽  
Author(s):  
Yuyun Zeng ◽  
Jingquan Liu ◽  
Kaichao Sun ◽  
Lin-wen Hu

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