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Members of Air Force Department presented theirs research at 37th Digital Avionics Systems Conference, London, UK

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Members of Air Force Department presented theirs research at 37th Digital Avionics Systems Conference, London, UK

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07/11/2018 • The 37th meeting of the Digital Avionics Systems Conference has continued in the rich profile of a preeminent aviation industry and research institution conference by focusing on avionics, communication, navigation and surveillance hardware and software systems, as well as human factors in aviation.

This year's conference theme was "Intelligent Automation and Autonomy for a safe and secure Air Transport System." Technical presentations and posters have covered diverse perspectives of capabilities, dependencies and implementations of intelligent systems in aerospace to better understand issues and opportunities. The technical sessions included over 200 technical presentations.

Department of Air Force was represented by two members. Captain Jan Boril presented the paper „Survey of Spatial Disorientation and Sensory Illusion among Air Force Pilots" written together with colleagues. The paper intentions was to develop a web-based questionnaire survey, coordinated responses, and made recommendations for future training. Generally the proper spatial disorientation training in aviation would facilitate a common understanding to prevent the loss of life. Lieutenant colonel Ludek Cicmanec presented the paper "Use of an Aircraft Monitoring System for Condition Assessment of a Maneuvering Area" which was written with his research team. The paper dealt with the use of an aircraft monitoring system for quality assessment of an airport maneuvering area. Having selected an essential airplane and its monitoring system, the focus is aimed at automatization of surface quality and defect inspection.

We have learned of new technology development, regulatory standards and ground-breaking research from major global aeronautics companies, international government research institutions and universities world-wide. To date innovation in aviation has focused on control of the airplane or its systems, but imagine when machine learning is paired with deep learning and neural networks to create powerful algorithms that attempt to "think" like a human.

 

Authors: Jan Bořil, Luděk Čičmanec

   
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