Requirements to embedded systems increase steadily. In parallel, also the performance of the processors used in these systems is improved leading to multithreaded and/or multicore...
We present a new approach, called local discriminant embedding (LDE), to manifold learning and pattern classification. In our framework, the neighbor and class relations of data a...
— The paper presents a software architecture for Distributed Timed Multitasking - a new model of computation that can be used to engineer open, and the same time, predictable emb...
As embedded applications are getting more complex, they are also demanding highly diverse computational capabilities. The majority of all previously proposed reconfigurable archite...
Antonio Carlos Schneider Beck, Mateus B. Rutzig, G...
The need for low-power, small factor secondary storage device has led to the widespread use of flash memory in embedded systems. The energy consumption of processor and flash base...