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This paper presents a machine learning algorithm to detect ionospheric scintillation and classify scintillation events based on training data in the frequency domain. The detector input is the signal intensity. Validation using data from Ascension Island, Hong Kong, and Peru shows 91–96% accuracy of scintillation detection. Different combinations of training data, observation matrices, and learning...
Model-based diagnosis is an effective approach without needing expert experience, whose one key step is to identify the conflict sets. According to general diagnostic engine(GDE), an approach to identify the minimal conflict sets based on assumption-based truth maintenance system (ATMS) is proposed. By defining negative-node and some new rules, the incompleteness of ATMS is overcome. This approach...
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