A Time Interval Index for Tracking Trajectories of RFID Tags : SLR-Tree |
Ryu, Woo-Seok
(부산대학교 컴퓨터공학과)
Ahn, Sung-Woo (부산대학교 컴퓨터공학과) Hong, Bong-Hee (부산대학교 컴퓨터공학과) Ban, Chae-Hoon (경남정보대학 인터넷응용계열) Lee, Se-Ho (삼성전자 정보통신총괄) |
1 | A. Guttman, 'R-Trees: A dynamic index structure for spatial searching,' In Proc. of the 1984 ACM SIGMOD Intl. Conf. on Management of Data, pp.47-57, June 1984 |
2 | K. Romer, T. Schoch, 'Infrastructure Concepts for Tag-Based Ubiquitous Computing Applications,' Workshop on Concepts and Models for Ubiquitous Computing, Ubicomp 2002, Goteborg, Sweden, September 2002 |
3 | D. Pfoser, C. S. Jensen, and Y. Theodoridis, 'Novel Approaches to the Indexing of Moving Objects,' In Proc. of the 26th VLDB Conf, pp.395-406, 2000 |
4 | J. L. Bently, 'Algorithms for Klee's Rectangle Problems,' Computer Science Department, Carnegie-Mellon University, Pittsburgh, 1977 |
5 | Mark Harrison, 'EPCTM Information Service-Data Model and Queries,' 2003 |
6 | Y. Theodoridis, M. Vassilakopoulos, and T. Sellis, 'Spatio-temporal indexing for large multimedia applications,' In Proc. of the 3rd IEEE Conf. on Multimedia Computing and Systems, pp.441-448, June 1996 |
7 | B. CheaHoon. BongHee Hong, 'Time Parameterized Interval R-tree for Tracing Tags in RFID Systems,' 16th International Conference, DEXA 2005 (pp. 503-513) |
8 | N. Beckmann and H. P. Kriegel, 'The R*-tree: An Efficient and Robust Access Method for Points and Rectangles,' Proc. ACM SIGMOD, pp.332-331, 1990 |
9 | S. E. Sarma, S. A. Weis, and D. W. Engels, 'RFID Systems and Security and Privacy Implications,' Springer-Verlag, pp.454-469, 2002 |
10 | M. A. Nascimento and J.R.O. Silva, 'Towards historical R-Trees,' In Proc. of the 1998 ACM Symposium on applied Computing, pp.235-240, February 1998 |
11 | M. A. Nascimento, J. T. O. Silca, and Y. Theodoridis, 'Evaluation of access structures for discretel moving points,' Proc. Of Int'l Workshop on Spatio-Temporal Database Management, pp.171-188, 1999 |
12 | C. Kolovson and M. Stonebraker, 'Segment Indexes: Dynamic Indexing Techniques for Multi-Dimensional Interval Data,' Proc. ACM SIGMOD, pp.138-147, 1991 |