Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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A Method of White Noise Reduction for Recognizing Cattle's Gulp Downing Sounds

  • Received : 2019.11.01
  • Accepted : 2019.11.19
  • Published : 2019.11.29
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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.

본 논문에서는 소의 목 넘김 소리를 이용하여 소의 사료 섭취량을 측정할 수 있도록 하는 방법을 제안하였다. 목 넘김 소리를 측정하기 위해 소의 목에 부착한 웨어러블 장치를 통해 녹음을 하게 되는데, 목장 사육환경에 따라 많은 소음이 함께 녹음되어진다. 이처럼 백색 잡음(white noise)이 섞여 들어간 원시 사운드 데이터를 스펙트럼화 하고, 필터를 이용한 신호 변환을 통하여 백색 잡음을 제거할 수 있는 방법을 제안하였다. 이를 통해 사료 섭취량을 측정할 수 있도록 하였다. 제안된 백색 소음 제거 방법을 통하여 소의 목 넘김 소리만을 추출하는 것이 가능하였고, 이를 통하여 소의 목 넘김 횟수 측정이 가능하였다. 본 논문에서 제안된 방법을 통하여 손쉽게 소의 사료섭취량을 측정할 수 있게 됨으로써 발정기 예측, 건강관리, 그리고 사료 관리 등이 효율적으로 이루어질 수 있게 되었다.

Keywords

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