Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Accuracy Analysis of Pulse Wave Sensor Data of Ear Label of Husbandry Livestock

축산 가축 이표용 맥파 센서의 데이터 정확도 분석

  • Kim, Il-Gon (Dept. of Sports Health Management, Mokwon University) ;
  • Kang, So-Hyung (Dept. of Sports in Living, Hanyang University)
  • 김일곤 (목원대학교 스포츠건강관리학과) ;
  • 강소형 (한양대학교 생활스포츠학과)
  • Received : 2014.09.14
  • Accepted : 2014.11.20
  • Published : 2014.11.28
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Abstract

In this research, we aimed to investigate the most optimum pulse wave sensor to ear label of live stocks among pulse wave piezo film sensor, conductive textile sensor, photo sensor. As a result of this research with application to 10 cattle, 10 pigs objects with pulse wave piezo film sensor, conductive textile sensor, photo sensor, photo sensor shows less standard deviation to average value than piezo film sensor or conductive textile sensor which means it is the most stable for the cattle. With pigs, piezo film sensor, conductive textile sensor and photo sensor all show stable pulse rate. Thus, to take pulse rate of livestock with curved body and long and dense coat such as cow, photo sensor will be considered as the most efficient mean.

본 연구는 가축을 대상으로 이표용 맥파 압력센서, 전도성 섬유센서, 광센서 중 사육 가축에 적용 할 최적의 맥파 센서를 분석하기 위하여 소10마리, 돼지 10마리를 대상으로 맥파 압력센서, 전도성 섬유센서, 광센서를 적용한 결과, 소는 광센서가 압력센서와 전도성 섬유센서에 비하여 평균값에 대한 표준편차가 작은 것으로 나타나 광센서가 가장 안정적인 것으로 나타났고, 돼지는 압력센서, 전도성 섬유센서, 광센서 모두 안정적인 맥파수를 나타냈다. 따라서 소와 같이 신체부의의 굴곡이 많고 털이 길고 조밀한 가축의 경우, 광센서를 이용한 맥파 측정에 가장 효율적인 것으로 나타났다.

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References

  1. Ju Hee Cha(2007). A Study of Consumption Pattern of Beef and Pork. Chonnam National University Graduate School Master's Thesis.
  2. Sang Gon Jeon, Han Ul Park(2011). Estimation of the Number of Korean Cattle Using ARIMA Model .Journal of Agriculture & Life Sciences 451(5), 115-126.
  3. Lee In Ki(2006). Introduction of regional maximum load system of livestock numbers based on environmental capacity. Yonsei University Graduate School Master's Thesis.
  4. Myung Sun Chun(2011). Foot and Mouth Disease as a Rural Issue in Korean Media during the Japanese Colonial Period. Journal of the Korean Agricultural History Association, 11(1), 1-23.
  5. Hyun Gi Kim, Chul Ju Yang, Hyun Yoe (2012). Design and Implementation of Livestock Disease Forecasting System. Journal of the Kics. 37(12), 1263-1270. https://doi.org/10.7840/kics.2012.37C.12.1263
  6. Jung Chae Kim, Sun Ha Jee, Sun Kook Yoo (2012). Fabrication and Evaluation of Sensor for Measuring Pulse Wave Velocity using Piezo Film and Conductive Textile. Journal of Sensor Science and Technology. 21(2), 135-143. https://doi.org/10.5369/JSST.2012.21.2.135
  7. Sang wan Jang(2012). Globalization and Changing Agrarian Questions. KyungSang University. Journal of Institute for Social Science.9(3).
  8. Hak Bong Jeon(2014), Development of Biological Monitoring System for Cattle Disease Detection. Kwongwoon University Graduate School Master's Thesis
  9. Jeong Seok Kyun(2013). Study on the Livestock Disease Forecasting System Using an the Acceleration Sensor. SoonCheon University Graduate School Master's Thesis
  10. Hong Kyu Kim, Seung Jin Moon, Jong Dae Lee, Sun O Choi (2013). Cattle Shed Management System Based on Wireless Sensor Network with Bio and Environmental Sensors. The Korean Institute of Communications and Information Sciences. 38(27), 573-586.