Journal
INTERNATIONAL JOURNAL OF TECHNOLOGY
Volume 9, Issue 4, Pages 840-851Publisher
UNIV INDONESIA, FAC ENGINEERING
DOI: 10.14716/ijtech.v9i4.455
Keywords
Acoustic signals; Discriminant analysis; Termite detection system
Categories
Funding
- Ministry of Research, Technology and Higher Education of the Public Indonesia [330/SP2H/LT/DRPM/IX/2016]
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Various methods for termite detection have been developed, one of which is purely based on their acoustic signals. However, this method has a weakness, as it is difficult to separate the signals generated by the termites from noise in the environment. A combination of the feature extraction of the acoustic signals and a classification model is expected to overcome this weakness. In this investigation, we inserted 220 subterranean termites Coptotermes curvignathus into pine wood for feeding activity and observed their acoustic signals. In addition, three acoustic features (short-term energy, entropy and zero moment power) were proposed to recognize the termites' acoustic signals. Subsequently, these features were analyzed and combined with discriminant analysis to produce a robust classification model. According to the numerical results, the integrated discriminant analysis and the acoustic feature in our termite detection system has an accuracy of 83.75%.
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