Submitted by Anonymous on Wed, 04/06/2011 - 10:05am
Don Winter, VP-Engineering & Information Technology, Boeing Research and Technology, keynote presentation at the CCC Workshop on New Forms of Industry Academy Collaboration
Car and airplane designers each have lessons that they can teach the other. This paper concentrates on what we think automotive designers can learn from aircraft designers, with a short note on the converse. We will also consider some key issues that both disciplines need to work on.
The demand for higher performance computing platforms has dramatically increased during the last decade due to the continuous feature enhancement process. For instance, in automotive systems new safety features like `night view assist’ and `automatic emergency breaking’ require the fusion of sensor data, video processing and real-time warnings when an obstacle is detected on the road; in the avionics domain new applications such as the helmet-mounted display systems require intensive video processing capabilities.
Re-examines the fundamentals of composition in heterogeneous systems.
Our mission is to provide reports, presentations and a science-based predictable tool suite to the Cyber Physical Systems (CPS) community related to our work in developing a new Science of Integration for CPS. This new science re-examines the fundamentals of composition in heterogeneous systems, develops foundations and tools for system integration and validates the results in experiments using automotive and avionics System-of-Systems experimental platforms.
The objective of this research is to develop a theory of ?ActionWebs?, that is, networked embedded sensor-rich systems, which are taskable for coordination of multiple decision-makers. The approach is to first identify models of ActionWebs using stochastic hybrid systems, an interlinking of continuous dynamical physical models with discrete state representations of interconnection and computation. Second, algorithms will be designed for tasking individual sensors, based on information objectives for the entire system.
This project addresses the management of the air traffic system, a cyber-physical system where the need for a tight connection between the computational algorithms and the physical system is critical to safe, reliable and efficient performance. Indeed, the lack of this tight connection is one of the reasons current systems are overwhelmed by the ever increasing traffic and suffer when there is any deviation from the expected (e.g., changing weather).
