Evaluation on the UbiMDR framework

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages601-611
Number of pages11
Volume4742 LNCS
Publication statusPublished - 2007 Dec 1
Event5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007 - Niagara Falls, Canada
Duration: 2007 Aug 292007 Aug 31

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4742 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007
CountryCanada
CityNiagara Falls
Period07/8/2907/8/31

Fingerprint

Semantics
Ubiquitous computing
Sensors
Evaluation
Ubiquitous Computing
Sensor
Interoperability
Costs and Cost Analysis
Semantic Interoperability
Usability
Performance Evaluation
Maximise
Framework
Costs

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Kim, J. D., Jeong, D., Kim, J., & Baik, D. K. (2007). Evaluation on the UbiMDR framework. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4742 LNCS, pp. 601-611). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4742 LNCS).

Evaluation on the UbiMDR framework. / Kim, Jeong Dong; Jeong, Dongwon; Kim, Jinhyung; Baik, Doo Kwon.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4742 LNCS 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 proceedingConference contribution

Kim, JD, Jeong, D, Kim, J & Baik, DK 2007, Evaluation on the UbiMDR framework. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 4742 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4742 LNCS, pp. 601-611, 5th International Symposium on Parallel and Distributed Processing and Applications, ISPA 2007, Niagara Falls, Canada, 07/8/29.
Kim JD, Jeong D, Kim J, Baik DK. Evaluation on the UbiMDR framework. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4742 LNCS. 2007. p. 601-611. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Kim, Jeong Dong ; Jeong, Dongwon ; Kim, Jinhyung ; Baik, Doo Kwon. / Evaluation on the UbiMDR framework. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4742 LNCS 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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