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A Data Cleaning Framework for Trajectory ClusteringIdrissov, Agzam Y. Unknown Date
No description available.
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An audit of prescribing by peer review carried out in general practiceReilly, P. M. January 1985 (has links)
No description available.
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Optimal integration of GPS with inertial sensors: Modelling and implementationDing, Weidong, Surveying & Spatial Information Systems, Faculty of Engineering, UNSW January 2009 (has links)
Integration of GPS with Inertial Navigation Systems (INS) can provide reliable and complete positioning and geo-referencing parameters including position, velocity and attitude for dynamic platforms for a variety of applications. This research has been focusing on four modelling and implementation issues for a GPS/INS integrated platform in order to improve the overall integration performance, in particular: a) Time synchronization Having recognised that having a precise time synchronisation of measurements is fundamental in constructing a multi-sensor integration platform and is critical for achieving high data fusion performance, various time synchronisation scenarios and solutions have been investigated. A criterion for evaluating synchronisation accuracy and error impacts has been derived; an innovative time synchronisation solution has been proposed; an applicable data logging system has been implemented with off-the-shelf components and tested. b) Noise suppression of INS raw measurements Low cost INS sensors, especially MEMS INS, would normally exhibit much larger measurement noise than conventional INS sensors. A novel method of using vehicle dynamic information for de-noising raw INS sensor measurements has been proposed in this research. Since the vehicle dynamic model has the characteristic of a low pass filter, passing the raw INS sensor measurements through it effectively reduces the high frequency noise component. c) Adaptive Kalman filtering The present data fusion algorithms, which are mostly based on the Kalman filter, have the stringent requirement on precise a priori knowledge of the system model and noise properties. This research has investigated the utilization issues of online stochastic modelling algorithm, and then proposed a new adaptive process noise scaling algorithm which has shown remarkable capability in autonomously tuning the process noise covariance estimates to the optimal magnitude. d) Integration of a low cost INS sensor with a standalone GPS receiver To improve the performance where a standalone GPS receiver integrated with a MEMS INS, additional velocity aiding and a new integration structure has been adopted in this research. Field test shows that velocity determination accuracy could reach the centimetre level, and the errors of MEMS INS have been limited to such a level that it can generate stable attitude and heading references under low dynamic conditions.
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Design und Entwicklung einer Anwendung für GeoMail und GeoMessagesTill, Alexander. January 2001 (has links)
Stuttgart, Univ., Studienarb., 2001.
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Neigungsbestimmung mit GPS für die PhotogrammetrieSchade, Holger, January 2002 (has links)
Zugl.: Stuttgart, Univ., Diss., 2001.
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Genauigkeitsuntersuchungen zur GPS/INS-Integration in der AerophotogrammetrieCramer, Michael. January 2001 (has links)
Zugl.: Stuttgart, Univ., Diss., 2001.
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Modeling and simulating GNSS signal structures and receiversWinkel, Jón Ólafur. January 1900 (has links) (PDF)
München, Univ. der Bundeswehr, Diss., 2003. / Computerdatei im Fernzugriff.
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Spektrale Untersuchung GPS-ähnlicher Orbits unter Anwendung einer Analytischen Bahntheorie 2. OrdnungMai, Enrico. January 2005 (has links) (PDF)
Berlin, Techn. Univ., Diss., 2004. / Computerdatei im Fernzugriff.
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On ground based GPS tropospheric delay estimationSchüler, Torben. January 2001 (has links)
München, Univ. der Bundeswehr, Diss., 2001. / Computerdatei im Fernzugriff.
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On ground based GPS tropospheric delay estimationSchüler, Torben. January 2001 (has links)
München, Univ. der Bundeswehr, Diss., 2001. / Computerdatei im Fernzugriff.
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