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This work addresses the leader election problem in distributed systems where processes can crash and recover. More precisely, it focuses on implementing the Omega failure detector class, which provides a leader election functionality, in the crash-recovery failure model. The concepts of quiescence and near-quiescence for an algorithm implementing Omega are defined. Depending on the use or not of stable...
An approach to the implementation of virtual-labs well-suited for control education is proposed. The virtual-lab model is described in the Modelica language and it is adapted for interactive simulation by applying a systematic methodology. The virtual-lab view (i.e., the user-to-model interactive interface) is composed by connecting predefined components of Interactive, a free Modelica library presented...
Unreliable failure detectors provide information about process failures. A particular failure detector called Omega has been shown to be the weakest for solving consensus with a majority of correct processes. This work addresses the implementation of Omega in the crash-recovery failure model. Firstly, the definition of Omega is adapted to that model, assuming that processes do not use stable storage...
In this paper, we present an approach for facial expression classification, based on Active Appearance Models. To be able to work in real-world, we applied the AAM framework on edge images, instead of gray images. This yields to more robustness against varying lighting conditions. Additionally, three different facial expression classifiers (AAM classifier set, MLP and SVM) are compared with each other...
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