Fuzzy Logic Based Sound Source Localization System Using Sound Strength in the Underground Parking Lot 


Vol. 38,  No. 5, pp. 434-439, May  2013


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  Abstract

It is very difficult to monitor the blind spots that are not recognized by traditional surveillance camera (CCTV) systems, and the surveillance efficiencies are very low though many accidents/events can be solved by the systems. In this paper, the fuzzy logic based sound source localization system using sound strength in the underground parking lot is suggested and the performance of the system is analyzed in order to enhance the stabilization and the accuracy of the localization algorithm in the suggested system. It is confirmed that the localization stabilization of the localization algorithm (SLA_fuzzy) using the fuzzy logic in the suggested system is 4 times higher than that of the conventional localization algorithm (SLA). In addition to this, the localization accuracy of the SLA_fuzzy in the suggested system is 29% higher than that of the SLA.

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  Cite this article

[IEEE Style]

C. Y. Choi and D. M. Lee, "Fuzzy Logic Based Sound Source Localization System Using Sound Strength in the Underground Parking Lot," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 5, pp. 434-439, 2013. DOI: .

[ACM Style]

Chang Yong Choi and Dong Myung Lee. 2013. Fuzzy Logic Based Sound Source Localization System Using Sound Strength in the Underground Parking Lot. The Journal of Korean Institute of Communications and Information Sciences, 38, 5, (2013), 434-439. DOI: .

[KICS Style]

Chang Yong Choi and Dong Myung Lee, "Fuzzy Logic Based Sound Source Localization System Using Sound Strength in the Underground Parking Lot," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 5, pp. 434-439, 5. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880