Hot electrons in semiconductors are known to quench radiative impurity and exciton recombination photoluminescence. This effect has been applied in a low invasive technique to determine the spatial form of current filaments generated by impurity breakdown in high purity n-GaAs epitaxial layers at low temperatures. Observations on samples with Corbino disc contacts clearly demonstrate symmetry breaking and self-organization by the current filamentation.
Abstract-Engine control units in the automotive industry are particular challenging real-time systems regarding their real-time analysis. Some of the tasks of such an engine control unit are triggered by the engine, i.e. the faster the angular velocity of the engine, the more frequent the tasks are executed. Furthermore, the execution time of a task may vary with the angular velocity of the engine. As a result the worst case does not necessarily occur when all tasks are activated simultaneously. Hence this behavior cannot be addressed appropriately with the currently available real-time analysis methods. In this paper we make a first step towards a real-time analysis for an engine control unit. We present a sufficient real-time analysis assuming that the angular velocity of the engine is arbitrary but fixed.
In the design and development of embedded realtime systems the aspect of timing behavior plays a central role. Especially, the evaluation of different scheduling approaches, algorithms and configurations is one of the elementary preconditions for creating not only reliable but also efficient systems -a key for success in industrial mass production. This is becoming even more important as multi-core systems are more and more penetrating the world of embedded systems together with the large (and growing) variety of scheduling policies available for such systems. In this work simple mathematical concepts are used to define performance indicators allowing to quantify the benefit of different solutions of the scheduling challenge for a given application. As a sample application some aspects of analyzing the dynamic behavior of an combustion engine management system for the automotive domain are shown. However, the described approach is flexible in order to support the specific optimization needs arising from the timing requirements defined by the application domain and can be used with simulation data as well as target system measurements.
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