| ISBN: 978-0-7695-3154-0
|
| |
description |
We present the design and implementation of a component for the
preprocessing of position data taken from moving objects. The
movement of mobile objects is represented by piecewise functions
over time that approximate the real object movement and
significantly reduce the initial data volume such that efficient
storage and analysis of object trajectories can be achieved. The
maximal acceptable deviation---an input parameter of our
algorithms---of the approximations also includes the uncertainty of
the position sensor measurements. We analyze and compare five
different lossy preprocessing methods. Our results clearly indicate
that even with simple approaches, a more than sufficient overall
performance can be achieved.
|
publisher |
University of Stuttgart : Collaborative Research Center SFB 627
(Nexus: World Models for Mobile Context-Based
Systems)
|
| IEEE computer society
|
type |
Text
|
| Article in Proceedings
|
source |
In: Proceedings of the 9th International Conference on Mobile Data
Management (MDM'08); Beijing, China, April 27-30, 2008., pp.
1-8
|
contributor |
Institut für Parallele und Verteilte Systeme,
Anwendersoftware
|
|
subject |
Database Applications (CR H.2.8)
| | Numerical Analysis Approximation (CR G.1.2)
| |