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- W2470562966 abstract "Ocean currents monitoring is a crucial research area in marine sciences as it has a significant impact on marine ecology. Currents carry nutrients; they affect diffusion of various marine species, and knowledge of currents can help energy savings in naval vessels. Today, large-scale sensing platforms such as stationary buoys, research vessels, gliders, single drifters and high frequency coastal radars are utilized in ocean current monitoring. In the near future, novel technologies will be added, such as small-scale, cost effective networks of drifters and/or autonomous underwater vehicles (AUVs) such as gliders. Such networks of drifter are equipped with GPS devices to collect location data and can use acoustic, optical and/or radio communications systems to be in coordination with other instruments and each other; furthermore, we assume some drifters will be use satellite communication to send their data to onshore base stations or research vessels. Deploying a fleet of passively propelled drifters presents novel research questions in spatio-temporal modeling and querying. It raises challenges with regard to in-network data collection, and aggregation to provide continuous ocean current observations on a much finer scale as is possible today. Our proposed model relies on a fleet deployment of passive, current-propelled, smallsized ocean drifters as an alternative or support to CODAR systems. We simulated the connectivity of the drifters and uniformity of monitoring area using real data from the Gulf of Maine (US) and Liverpool Bay (UK) in our previous work. In this paper, we develop a formal model for fleets based on the relative motion patterns of drifters as a group, which is connected over time. The drifters are conceptualized as geo-spatial lifelines (i.e. trajectories) with spatio-temporal relationships between the relative movements of the objects. This leads to the formalization of various moving patterns types such as flock, leadership, convergence, and encounter patterns." @default.
- W2470562966 created "2016-07-22" @default.
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- W2470562966 date "2007-01-01" @default.
- W2470562966 modified "2023-09-27" @default.
- W2470562966 title "A Model for Motion Pattern Discovery in Ocean Drifter Networks" @default.
- W2470562966 hasPublicationYear "2007" @default.
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