Evaluation on the UbiMDR framework

Jeong Dong Kim; Dongwon Jeong; Jinhyung Kim; Doo Kwon Baik

doi:10.1007/978-3-540-74742-0_54

Evaluation on the UbiMDR framework

Jeong Dong Kim, Dongwon Jeong, Jinhyung Kim, Doo Kwon Baik

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper describes the performance evaluation to validate the superiority of UbiMDR framework. In ubiquitous application, the semantic operability is one of the most important issues to maximize the usability of sensors in sensor fields. However, existing frameworks are not suitable for the ubiquitous computing environment because of data heterogeneity between data elements. The MDR-based framework in ubiquitous computing provides the semantic interoperability among ubiquitous applications or sensor fields. In addition, the UbiMDR framework represents low costs for mapping or addition of new elements or operation compared to conventional framework.

Original language	English
Title of host publication	Parallel and Distributed Processing and Applications - 5th International Symposium, ISPA 2007, Proceedingsq
Publisher	Springer Verlag
Pages	601-611
Number of pages	11
ISBN (Print)	3540747419, 9783540747413
DOIs	https://doi.org/10.1007/978-3-540-74742-0_54
Publication status	Published - 2007
Event	5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007 - Niagara Falls, Canada Duration: 2007 Aug 29 → 2007 Aug 31

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4742 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007
Country/Territory	Canada
City	Niagara Falls
Period	07/8/29 → 07/8/31

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-540-74742-0_54

Cite this

Kim, J. D., Jeong, D., Kim, J., & Baik, D. K. (2007). Evaluation on the UbiMDR framework. In Parallel and Distributed Processing and Applications - 5th International Symposium, ISPA 2007, Proceedingsq (pp. 601-611). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4742 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-74742-0_54

Evaluation on the UbiMDR framework. / Kim, Jeong Dong; Jeong, Dongwon; Kim, Jinhyung et al.
Parallel and Distributed Processing and Applications - 5th International Symposium, ISPA 2007, Proceedingsq. Springer Verlag, 2007. p. 601-611 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4742 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, JD, Jeong, D, Kim, J & Baik, DK 2007, Evaluation on the UbiMDR framework. in Parallel and Distributed Processing and Applications - 5th International Symposium, ISPA 2007, Proceedingsq. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4742 LNCS, Springer Verlag, pp. 601-611, 5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007, Niagara Falls, Canada, 07/8/29. https://doi.org/10.1007/978-3-540-74742-0_54

Kim JD, Jeong D, Kim J, Baik DK. Evaluation on the UbiMDR framework. In Parallel and Distributed Processing and Applications - 5th International Symposium, ISPA 2007, Proceedingsq. Springer Verlag. 2007. p. 601-611. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-74742-0_54

Kim, Jeong Dong ; Jeong, Dongwon ; Kim, Jinhyung et al. / Evaluation on the UbiMDR framework. Parallel and Distributed Processing and Applications - 5th International Symposium, ISPA 2007, Proceedingsq. Springer Verlag, 2007. pp. 601-611 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Evaluation on the UbiMDR framework

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