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http://dx.doi.org/10.9708/jksci.2019.24.11.153

A Method of White Noise Reduction for Recognizing Cattle's Gulp Downing Sounds  

Kwak, Ho-Young (Dept. of Computer Engineering, Jeju National University)
Kim, Woo-Chan (Graduate School of Computer Engineering, Jeju National University)
Chang, Jin-Wook (HRG Incorporated)
Publication Information
Journal of the Korea Society of Computer and Information / v.24, no.11, 2019 , pp. 153-161 More about this Journal
Abstract
In this paper, we proposed a method to measure the feed intake of cattle using the cattle's gulp downing sounds. To measure the sound of cattle's gulp downing, the recording is performed through a wearable device attached to the cattle's neck. A lot of noises are recorded according to the ranching environment. This paper proposed a method for spectralizing raw gulping sound data containing white noise and removing white noise through the signal transformation using a filter. This allows the feed intake to be measured. Through the proposed white noise reduction method, it was possible to extract only the cattle's gulp downing sound, and through this, the number of cattle's gulp downing could be measured. The proposed method in this paper makes it possible to measure cattle's feed intake easily, so that estrus prediction, health care for cattle, and feed management can be done efficiently.
Keywords
Gulp downing sound; White noise; Feed intake; Sound spectrum; Signal transformation;
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Times Cited By KSCI : 2  (Citation Analysis)
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