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Spatio-temporal Aggregations in Trajectory Data Warehouses [PDF]
, 2007 In this paper we investigate some issues related to the design of a simple Data Warehouse (DW), storing several aggregate measures about trajectories of moving objects. First we discuss the loading phase of our DW which has to deal with overwhelming streams of trajectory observations, possibly produced at different rates, and arriving in an ...
ORLANDO, Salvatore +4 more
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Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query
IEEE Transactions on Big Data, 2019This paper defines and investigates a novel trajectory query, namely, Traversal Trajectory Aggregate (TTA) Query: Given a trajectory database and a pair of upstream and downstream spatio-temporal (ST) regions (i.e., spatial area coupled with a time interval), a TTA query aims to retrieve the total number of unique trajectories that traverse through ...
Yichen Ding +5 more
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Automated trajectory synthesis from animation data using trajectory optimization
2009 IEEE International Conference on Automation Science and Engineering, 2009Trajectory optimization is a technique for finding dynamically feasible trajectories of a mechanical system that approximate a desired trajectory. These tools provide an excellent abstraction from a system's dynamics, allowing a user to animate a robot without considering dynamic complexities, including coupling, instability, and uncontrollable ...
Elliot R. Johnson, Todd D. Murphey
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Anonymous sequences from trajectory data
2009The increasing availability of personal data of a sequential nature, such as time-stamped transaction or location data, enables increasingly sophisticated sequential pattern mining techniques. However, privacy is at risk if it is possible to reconstruct the identity of individuals from sequential data.
R. G. Pensa +3 more
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Ferreting out correlations from trajectory data
The Journal of Chemical Physics, 2011Thermally driven materials characterized by complex energy landscapes, such as proteins, exhibit motions on a broad range of space and time scales. Principal component analysis (PCA) is often used to extract modes of motion from protein trajectory data that correspond to coherent, functional motions.
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2010
In this era of significant advances in telecommunications and GPS sensors technology, a person can be tracked down to proximity of less than 5 meters. This remarkable progress enabled the offering of services that depend on user location (the so-called location-based services—LBSs), as well as the existence of applications that analyze movement data ...
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In this era of significant advances in telecommunications and GPS sensors technology, a person can be tracked down to proximity of less than 5 meters. This remarkable progress enabled the offering of services that depend on user location (the so-called location-based services—LBSs), as well as the existence of applications that analyze movement data ...
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An overview of real‐world data sources for oncology and considerations for research
Ca-A Cancer Journal for Clinicians, 2022Lynne Penberthy +2 more
exaly
GPS trajectory data and order data
The GPS trajectory data and order data of cruising taxis and ride-hailing vehicles, including longitude and latitude, pick-up and drop-off times, travel duration, waiting time and other information.openaire +1 more source
Innovations in research and clinical care using patient‐generated health data
Ca-A Cancer Journal for Clinicians, 2020H S L Jim +2 more
exaly