• Title/Summary/Keyword: 목 넘김 소리

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

  • Kwak, Ho-Young;Kim, Woo-Chan;Chang, Jin-Wook
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.11
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    • pp.153-161
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    • 2019
  • 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.

Cow Residual Feed Intake(RFI) monitoring and metabolic abnormality prediction system using wearable device for Milk cow and Beef

  • Chang, Jin-Wook;Kwak, Ho-Young
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.10
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    • pp.139-145
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    • 2021
  • In this paper, by using the cattle feed intake, rumination, and in heat monitoring technology, RFI (Residual Feed Intake) monitoring and wearable devices and PCs for predicting abnormalities in budding target web and smart A monitoring system using a phone application was designed and implemented. With the development of this system, the farmer is expected to increase economic efficiency. By analyzing the feed intake, it is possible to identify the difference between the recommended feed amount based on the cow's weight and the feed amount consumed by the cow, and it is expected that early detection of metabolic disorders (abnormality of metabolism) is possible. Farmers using the results of this thesis can distinguish the cows with the most efficient performance, and the 6-axis motion sensor signals input from the wearable device attached to the cow's skin (neck) and the microphone attached to the wearable device. It is possible to measure the cow's rumination and feed intake through the sound of the cow's throat. In the future, improvements will be made to measure additional vital signs such as heart rate and respiration.