Manuscript Number : IJSRST162437
Querying Unintelligible Data on Geospatial Trajectory Database
Authors(2) :-Dr. K. Sathesh Kumar, Dr. S. Ramkumar Current GPS technologies collect objects and its movement and store the trajectories periodically in the MOD (Moving Object Database). In such environment, some location errors may arise and some models are unable to capture the changes in trajectories dynamically. Especially, the uncertainty capturing is a challenging one. In order to handle these issues in spatial database, the proposed system develops a new trajectory model to handle the uncertainty and querying on uncertain spatial queries. Initially this develops an adaptable trajectory approach to provide actual positions and temporal changes in uncertainty along with improbable uncertainty ranges. The next part of ongoing implementation provides effective spatial query processing with successful indexing process. This presents the temporal R+ tree indexing with inverted list. This provides an efficient mechanism to evaluate improbable range objects and its spatial queries using Rife-density trajectories.
Dr. K. Sathesh Kumar RFID sensors, R+Tree, GSM, Trajectory Model, Road Network, Dynamic Route Map. Publication Details
Published in : Volume 2 | Issue 4 | July-August 2016 Article Preview
Assistant Professor, Department of Computer Science and Information Technology, Kalasalingam University, Krishnankoil, Virudhunagar, Tamil Nadu, India
Dr. S. Ramkumar
Assistant Professor, Department of Computer Applications, Kalasalingam University, Krishnankoil, Virudhunagar, Tamil Nadu, India
Date of Publication : 2016-08-30
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 180-187
Manuscript Number : IJSRST162437
Publisher : Technoscience Academy
Journal URL : https://ijsrst.com/IJSRST162437
Citation Detection and Elimination |
|
|Proceedings of the 31st international conference on Very large data bases. VLDB Endowment, 2005.