%0 Journal Article
%T Interval-Based Out-of-Order Event Processing in Intelligent Manufacturing
%A Chunjie Zhou
%A Pengfei Dai
%A Zhenxing Zhang
%A Tong Liu
%J Journal of  Intelligent Learning Systems and Applications
%P 21-35
%@ 2150-8410
%D 2018
%I Scientific Research Publishing
%R 10.4236/jilsa.2018.102002
%X <div style=\"text-align:justify;\">
	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.
</div>
%K Event Streams
%K Intelligent Manufacturing
%K Interval-Based Events
%K Out-of-Order Events
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=84370