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Moving Object in Different Environment (MODE) using Spatial-Temporal Database Concept

by V. Karthikeyani, I. Shahina Begam, K. Tajudin, I. Parvin Begum
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 58 - Number 18
Year of Publication: 2012
Authors: V. Karthikeyani, I. Shahina Begam, K. Tajudin, I. Parvin Begum
10.5120/9383-3857

V. Karthikeyani, I. Shahina Begam, K. Tajudin, I. Parvin Begum . Moving Object in Different Environment (MODE) using Spatial-Temporal Database Concept. International Journal of Computer Applications. 58, 18 ( November 2012), 22-28. DOI=10.5120/9383-3857

@article{ 10.5120/9383-3857,
author = { V. Karthikeyani, I. Shahina Begam, K. Tajudin, I. Parvin Begum },
title = { Moving Object in Different Environment (MODE) using Spatial-Temporal Database Concept },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 58 },
number = { 18 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 22-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume58/number18/9383-3857/ },
doi = { 10.5120/9383-3857 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:02:51.989525+05:30
%A V. Karthikeyani
%A I. Shahina Begam
%A K. Tajudin
%A I. Parvin Begum
%T Moving Object in Different Environment (MODE) using Spatial-Temporal Database Concept
%J International Journal of Computer Applications
%@ 0975-8887
%V 58
%N 18
%P 22-28
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Spatial-temporal data models and query languages are a topic of growing interest. A spatial-temporal database is a database that embodies spatial, temporal, and spatial-temporal database concepts and captures simultaneously spatial and temporal aspects of data. A spatial data object occupies a certain region of space, which is characterized by its location and boundary. It deals with geometries that change with time. In this research to focus the moving object in different environment with the algorithmic details of each object movement likewise sky, water fall and hills. The positions of moving objects are continuously changing over time. For modeling these moving objects, consider both continuous and discrete models. The position of moving object can be calculated by time, speed, route, hiding position and reflection angle etc. The speed and route are managed as dynamic attributes, and are the motion information of moving object. The attribute uses in whole concept in dynamic.

References
  1. Jose Antonio Cotelo Lema, Luca Forlizzi, Ralf Hartmut Guting, Enrico Nardelli and Markus Schneider, " Algorithms for Moving Objects Databases", the computer journal, 46(6),© British Computer Society 2003,pp-1 to 33.
  2. Michael F. Worboys " A Unified Model for Spatial and Temporal Information", The Computer Journal, Vol 37, no. 1, pp25-34, 1994.
  3. Reasey Praing & Markus Schneider, "Modeling Historical and Future Spatio-Temporal Relationships of Moving Objects in Databases", University of Florida, Department of Computer & Information Science & Engineering, 2007
  4. Markus Schneider, "Moving object in database and GIS: State of the art and open problem" pp. 171-186, 2008.
  5. Hoda M. O. Mokhtar "HITS: a history Based intelligent transportation system", IJDKP vol. 1, No. 2, March 2011.
  6. Ganesh Viswanathan & Markus Schneider, "The object interaction graticlue for cardinal direction querying in moving objects data warehousing", NASA-AIST-08-0081.
  7. Dieter Pfoser, "Issues in the Management of Moving Point Objects",Ph. D thesis, Aalborg University,2009.
  8. Yufei Tao, Dimitris Papadias,"Time-Parameterized Queries in Spatio-Temporal Databases", ACM SIGMOD'2002, June 4-6, Madison, Wisconsin, USA.
  9. Ghazi H. Al-Naymat, "New Methods foe Mining Sequential and Time Series Data", Ph. D Thesis, The University of Sydney, June 2009.
  10. Daniel B. Neill "Detection of Spatial and Spatio-Temporal Clusters",Ph. D thesis, Carnegie Mellon University,2006.
  11. Dieter Pfoser, "Indexing the Trajectories of Moving Objects",Data Engineering,June2002, Vol. 25 No. 2, IEEE Computer Society,pp. 3-9.
  12. T. Abraham and J. F. Roddick, "Survey of Spatio-temporal Databases", Research Report CIS-96-011,School of Computer and Information Science, University of South Australia, 1996.
  13. Ralf Hartmut Gutingand Markus Schneider "Moving Objects Databases", Elsevier publication, 2005.
  14. H. M. Abdul–Kader "Location Updating Strategies in Moving Object Databases", International Journal of Computer Theory and Engineering, Vol. 1, No. 1, April 2009.
  15. Xiangyu Ye, "An Indexing Structure and Application Model for Vehicles Moving on Road Networks", Florida International University, dissertation, 2004.
  16. Arif Khan & Markus Schneider, "Topological reasoning between complex regions in database with frequent updates", ACM GIS' 10, Nov 2-5, 2010. San Jose, CA, USA.
  17. Hechen Liu & Markus Schneider "Querying moving objects with uncertainty in spatio-temporal databases", 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Spatial Temporal Database-Moving Object- Hiding Value-Location finding-Query analyzation

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