Modeling of Real-Time Embedded Systems in an Object-Oriented Design Environment with UML
ISORC '00 Proceedings of the Third IEEE International Symposium on Object-Oriented Real-Time Distributed Computing
RT-UML for modeling Real-Time Web Services
SCW '06 Proceedings of the IEEE Services Computing Workshops
Optimization of memory system in real-time embedded systems
ICCOMP'07 Proceedings of the 11th WSEAS International Conference on Computers
A SysML profile for mechatronics integrating bond graphs
ICS'05 Proceedings of the 9th WSEAS International Conference on Systems
Using an MDE Approach for Modeling of Interconnection Networks
ISPAN '08 Proceedings of the The International Symposium on Parallel Architectures, Algorithms, and Networks
Model driven development for embedded systems
SEPADS'10 Proceedings of the 9th WSEAS international conference on Software engineering, parallel and distributed systems
Software Development for Embedded Multi-core Systems: A Practical Guide Using Embedded Intel Architecture
Texture measurement and friction estimation using laser data acquisition and neural networks
MACMESE'07 Proceedings of the 9th WSEAS international conference on Mathematical and computational methods in science and engineering
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With the advances in integration of different units such as I/O controllers and network interfaces in a single chip, Intel introduced the low power EP80579 embedded processor. This processor is the first IA based system-on-chip (SoC) with an IA-32 processor core, North and South Bridges, and integrated Accelerator and network interface. In this paper we will show main steps to design a real-time embedded system along with identifying the hardware and software requirements to implement such system. The embedded system introduced in this work will perform several tasks regarding road surface conditions based on multiple sensor readings. The sensor data will be processed in real-time to reconstruct the road profile and provide an estimate for the texture contents of the road surface. The EP80579 SoC will be used in the design of such a system. Modeling will be done with the aid of UML profile for modeling and analysis of real-time and embedded (MARTE) systems.