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Motivated by the increasing trend in embedded systems towards platform integration, there has been an increasing research interest in scheduling mixed-criticality systems. However, most existing efforts have concentrated on scheduling sequential tasks and ignored intra-task parallelism. In this paper, we study the scheduling of mixed-criticality parallel(More)
1 Abstract—This paper presents an efficient FPGA based architecture for skin region detection algorithm from a facial image. A lot of research work has been carried out on skin region detection for image processing applications. But there is a very limited work to design a hardware module for the same purpose which is very useful for a real time system(More)
One of the challenges in personalized e-learning research field is how to meet the unique learning strategies according to a learner's personality characteristic. But a learner's characteristic may have many attributes, and some of them have not equal value for personalized e-learning. This paper exploits the aspect to evaluate the important attributes,(More)
Recent years, there is an increasing interest of integrating mixed-criticality functionalities onto a shared computing platform in automotive, avionics and the control industry. The benefits of such an integration include reduced hardware cost and high computational performance. Also, new challenges appear as a result of the integration since interferences(More)
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