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AUGMENTED EXCEPTION PROGNOSIS AND MANAGEMENT IN REAL TIME SAFETY CRITICAL EMBEDDED APPLICATIONS
AUGMENTED EXCEPTION PROGNOSIS AND MANAGEMENT IN REAL TIME SAFETY CRITICAL EMBEDDED APPLICATIONS
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机译:实时安全关键嵌入式应用中的增强例外预测和管理
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摘要
A smart exception handler system for safety-critical real-time systems is provided. The system is configured to: receive a plurality of parameters at a plurality of nodal points in a real-time execution path; analyze the received parameters using a trained exception handling model, wherein the trained exception handling model has been trained using machine learning techniques to learn the critical path of execution and/or critical range of parameters at critical nodes, wherein the critical range of parameters comprises a learned threshold at a node; compute, using the trained exception handling model, a probability of fault at the critical nodes; compare the probability of fault at a critical node against a learned threshold at the node; and take proactive action in real-time to avoid the occurrence of a fault when the probability of fault at the node is higher than the learned threshold at the node.
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