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Interval-Based Out-of-Order Event Processing in Intelligent Manufacturing

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DOI: 10.4236/jilsa.2018.102002    291 Downloads   546 Views


Estimating the cycle time of each job over event streams in intelligent manufacturing is critical. These streams include many long-lasting events which have certain durations. The temporal relationships among those interval-based events are often complex. Meanwhile, network latencies and machine failures in intelligent manufacturing may cause events to be out-of-order. This topic has rarely been discussed because most existing methods do not consider both interval-based and out-of-order events. In this work, we analyze the preliminaries of event temporal semantics. A tree-plan model of interval-based out-of-order events is proposed. A hybrid solution is correspondingly introduced. Extensive experimental studies demonstrate the efficiency of our approach.

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Zhou, C. , Dai, P. , Zhang, Z. and Liu, T. (2018) Interval-Based Out-of-Order Event Processing in Intelligent Manufacturing. Journal of Intelligent Learning Systems and Applications, 10, 21-35. doi: 10.4236/jilsa.2018.102002.

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