Efficient Processing of Multidimensional Sensor Stream Data in Digital Marine Vessel 


Vol. 35,  No. 5, pp. 794-800, May  2010


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  Abstract

It is necessary to accurate and efficient management for measured digital data from various sensors in digital marine vessel. It is not efficient that sensor network process input stream data of mass storage stored in database the same time. In this paper, We propose to improve the processing performance of multidimensional stream data continuous incoming from multiple sensor. We propose that we arrange some sensors (temperature, humidity, lighting, voice) and process query based on sliding window for efficient input stream and found multiple query plan to Mjoin method and we reduce stored data using SVM algorithm. We automatically delete that it isn't necessary to the data from the database and we used to ship diagnosis system for available data. As a result, we obtained to efficient result about 18.3% reduction rate of database using 35,912 data sets.

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  Cite this article

[IEEE Style]

B. Song, K. Park, J. Lee, K. Lee, M. Jung, S. Lee, "Efficient Processing of Multidimensional Sensor Stream Data in Digital Marine Vessel," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 5, pp. 794-800, 2010. DOI: .

[ACM Style]

Byoung-Ho Song, Kyung-Woo Park, Jin-Seok Lee, Keong-Hyo Lee, Min-A Jung, and Sung-ro Lee. 2010. Efficient Processing of Multidimensional Sensor Stream Data in Digital Marine Vessel. The Journal of Korean Institute of Communications and Information Sciences, 35, 5, (2010), 794-800. DOI: .

[KICS Style]

Byoung-Ho Song, Kyung-Woo Park, Jin-Seok Lee, Keong-Hyo Lee, Min-A Jung, Sung-ro Lee, "Efficient Processing of Multidimensional Sensor Stream Data in Digital Marine Vessel," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 5, pp. 794-800, 5. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880