Lasse Linnerup Christiansen

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Monitoring the actual and predicted flow of receptor-based (e.g. RFID) moving objects can be useful in a variety of applications, e.g., to predict congestion in an airport bag handling system or reason about the location of a lost bag. In this paper, we propose the Flow Representation Graph (FRG) model, which, unlike earlier work, captures both the actual(More)
In this paper we demonstrate FlowPredictor, a novel Continuous Query Processing Framework (CQPF) for continuous query processing of the actual and predicted flow of receptor-based moving objects in a symbolic space covering both indoor and outdoor space. FlowPredictor enables spatiotemporal selection, aggregate, nested, and complex queries to be evaluated(More)
Increasingly, streaming positions from moving objects in blended indoor/outdoor spaces are used to deliver new types of real-time location-based services. To support such scenarios, this paper presents the Searchlight Graph (SLG) model and the associated Searchlight Continuous Query Processing Framework (CQPF) for (predictive) Continuous Query Processing(More)
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