Unmanned Aircraft Systems Predictive Analyctics and Perspectives
Jocelyn Nembe and Pierre F. Tiako
November 03, 2015
Due to their passive nature, Unmanned Aircraft Systems (UAS) are remotely controlled and monitored objects inherently different from manned aircraft. So far military UAS have shared our navigational airspace without major incidents nor defined governmental regulation.
The United States under Federal Aviation Administration (FAA) is taking actions to introduce private commercial and recreational UAS in our skies . That is a big challenge from safety, security and liability point of views, knowing that the US has one of the most complex and busiest airspace in the world. FAA and the aviation community are currently taking incremental approaches to safe private UAS integration in our skies.
Dr. Jocelyn Nembe
Prof. Dr. Pierre F. Tiako
Because UAS come to serve diverse purposes, scientists must not only help improve UAS design and shape to ease their integration but also provide UAS with robust military, commercial and recreational capabilities. One of the main features when it comes to capabilities building for the sky is the real-time handling of big data . The main focus of this research is all about UAS survivability concerns and real-time handling of big data for diverse purposes.
UAS survivability concerns include, but not limited to:
- Improve communication speed with remote units 
- Survivability concerns 
- Independent analysis capabilities 
UAS real-time handling of big data includes, but not limited to:
- Predictive Analytics 
- Security and surveillance [3, 4]
- Contextual analysis 
- Intelligent navigation and decision making 
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