This paper provides four contributions to the study of optimization techniques for component-based distributed realtime and embedded (DRE) systems. First, we describe key challeng...
Activity recognition based on data from mobile wearable devices is becoming an important application area for machine learning. We propose a novel approach based on a combination ...
Abstract— Not only system performance but also energy efficiency is critically important for embedded systems. Optimal real-time scheduling is effective to not only schedulabili...
Model-based automatic code generation is a process of converting abstract models into concrete implementations in the form of a program written in a high-level programming languag...
Abstract. We study schedulability problems of timed systems with nonuniformly recurring computation tasks. Assume a set of real time tasks whose best and worst execution times, and...