한국정보통신학회논문지 (Journal of the Korea Institute of Information and Communication Engineering)

  • 제21권10호
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  • Pages.1898-1908
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  • 2017
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  • 2234-4772(pISSN)
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  • 2288-4165(eISSN)
한국정보통신학회 (The Korea Institute of Information and Commucation Engineering)
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온톨로지와 베이지안 네트워크를 활용한 송아지 질병 예측

Prediction of Calf Diseases using Ontology and Bayesian Network

  • Kang, Yun-Jeong (Computer and Software Engineering, College of Engineering, Wonkwang University)
  • 투고 : 2017.07.18
  • 심사 : 2017.09.11
  • 발행 : 2017.10.31
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초록

가축 질병을 정확하게 예측하고 관리하는 것은 지속가능한 가축의 생산을 보장하고 궁극적으로 인간의 건강을 유지하는 데 기여한다. 가축의 건강을 유지하는 것은 인간의 건강에 영향을 미치는 중요한 부분이다. 송아지 질병 예측은 송아지의 생체 데이터를 측정하여 전처리 과정을 거친다. 송아지 정보는 송아지의 출산 이력과 송아지 생체 정보측정, 축사의 환경 정보, 질병 관리를 위한 정보를 사용하며, 온톨로지 개발하여 지식 베이스로 활용하였고, 송아지의 질병에 대한 상호 연관성을 분석 과정하기 위해 베이지안 네크워크를 사용하여 추론하였다. 송아지 질병, 원인, 발생 시기, 증상 등에 대한 송아지 질병 지식을 기반으로 질병을 예측하면 그 결과로 정확한 질병 치료에 대응할 수 있고 다른 가축에게 전염되는 것을 사전에 방지할 수 있을 것이다.

Accurately Diagnosing and managing disease in livestock can help sustainable livestock productivity and maintain human health. Maintaining the health of livestock is an important part of human health. The prediction of calf diseases is carried out by pre-processing the calf biometric data. calf information is used as information for calf birth history, calf biometric information, environmental information on housing, and disease management. It can be developed as an ontology and used as a knowledge base. The Bayesian network was used and inferred in the process of analyzing the correlations of calf diseases. Prediction of diseases based on knowledge of calf disease on calf diseases name, causes, occur timing, care and symptoms, etc., will be able to respond to accurate disease treatment and prevent other livestock from being infected in advance.

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참고문헌

  1. F. Brian, The Intimate Bond, Korea, Interpark Banni, Part 4, pp. 79-155, 2016.
  2. S. H. Wang, "Legal Issues Regarding Utilization of Genetic Technology for Diagnosis and Treatment of Livestock Disease," Science and Technology Law, vol.7, no.2, pp. 45-74, Dec. 2016.
  3. J. C. Brock, History of humans and livestock, Korea, Seanal, 2004.
  4. J. C. Brock, A natural history of domesticated mammals, Korea, Minumsa, 1996.
  5. S. P. Park, Human beings are happy if livestock is happy, Korea, Kama Plateau, 2012.
  6. C. Patterson, Eternal Treblinka: Our Treatment of Animal and the Holocaust, Korea, KARA, Part 2, pp.85-188, 2014.
  7. A. F. Goetschel, Tiere Klagen an, Korea, ALMA, 2016.
  8. Korea FAO, [Internet]. Available: http://www.fao.or.kr.
  9. UNFAO, FAO's role in animal production of Food and Agriculture Organizion of the United Nations, [Internet]. Available: http://www.fao.org/animal-production.
  10. HAHIS, [Internet]. Available: https://www.kahis.go.kr.
  11. Animal and Plant Quarantine Agency, [Internet]. Available: http://www.qia.go.kr.
  12. Animal Medical Management System, [Internet]. Available: http://medi.qia.go.kr.
  13. National Institute of Animal Science, [Internet]. Available: http://www.nias.go.kr.
  14. Y. Y. Sim, I. H. Nam, M. S. Lee, S. H. Woo, H. J. Kang, D. M. Jeon and J. B. Lee, "A study on the prevalence of bovine coronavirus infection for calves in Seosan-Taean Area," Korean journal of veterinary service, vol. 32, no. 3, pp.209-213, Sep. 2009.
  15. H. K. Kim, S. J. Moon, J. D. Lee and S. O. Choi, "Cattle Shed Management System Based on Wireless Sensor Network with Bio and Environmental Sensors," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 7, pp. 573-586, Jul. 2013.
  16. Y. J. Kang and D. O. Choi, "The Design of Cattle disease Forecast System using Ontology," International Conferences Green and Smart Technology with Sensor Applications 2012, Jeju Island, Korea, pp. 196-203, 2012.
  17. Y. J. Kang and D. O. Choi, "Development a Animal Bioinformation Monitoring Device," Journal of The Korea Entertainment Industry Association, vol. 6, no. 2, pp. 101-106, Jan. 2012.
  18. Y. J. Kang and D. O. Choi, "Cattle Bio-information Monitoring System Based on Context Awareness," Journal of The Korea Entertainment Industry Association, vol. 6, no. 2, pp. 92-100, Jan. 2012. https://doi.org/10.21184/jkeia.2012.06.6.2.92
  19. H. G. Kim, C. J. Yang and H. Yoe, "Design and Implementation of Livestock Disease Forecasting System," The Journal of Korean Institute of Communications and Information Sciences, vol. 37C, no. 12, pp.1263-1270, Dec. 2012. https://doi.org/10.7840/kics.2012.37C.12.1263
  20. M. C. park, H. C. Jung and O. K. Ha, "Development of Livestock Monitoring Device based on Biosensors for Preventing Livestock Diseases," Journal of The Korea Society of Computer and Information, vol. 21. no. 10, pp. 91-98 , Oct. 2016. https://doi.org/10.9708/jksci.2016.21.10.091
  21. D. O. Choi, A system for analyzing the movement patterns of cattle, KR Patent 10-2013-0007479 to Wonkwang University, Iksan in Korea, 2013.
  22. G. Hao, K. Y. Kim, D. K. Kim and S. J. Lee, "Analyzing Activity for Estrus Detection in Korean Native Cattle," Journal of Knowledge Information Technology and Systems (JKITS), vol. 10, no. 2, pp.193-202, Apr. 2015.
  23. S. Hachem, T. Teixeira and V. Issarny, "Ontologies for the Internet of Things," in Proceedings of the 8th Middleware Doctoral Symposium, NY, USA, Article No. 3, Dec. 2011.
  24. T. R. Gruber, "A translation approach to portable ontology specifications," Knowledge acquisition, vol. 5, no. 2, pp.199-220, Jun. 2003. https://doi.org/10.1006/knac.1993.1008
  25. Protege, [Internet]. Available: protege.stanford.edu/.
  26. N. Asai, Translation Y. W. Woo, Learned with EXCEL, Korea, Danny Hong Agency, Chapter 9, pp.171-186, 2017.
  27. A. M Iqba, M. Shepherd and S.S.R. Abidi. "An ontologybased electronic medical record for chronic disease management," System Sciences (HICSS), 44th Hawaii International Conference on. IEEE, Hawaii, HI, USA, pp. 1-10. 2011.
  28. G. H. Kim, M. J. Kang, C. Y. Jung, J. Y. Jung, S. E. Jung, J. S. Kim and J. S. Lee, "Development of Ontology for the Diseases of Spine," In Advances in Computer Science and its Applications Springer, Berlin, Heidelberg, pp. 1171-1178. Feb. 2014.
  29. O. Mohammed, R. Benlamri and S. Fong, "Building a diseases symptoms ontology for medical diagnosis: an integrative approach," In Future Generation Communication Technology, International Conference on IEEE, pp. 104-108, Dec. 2012.
  30. BayesFusion, [Internet]. Available: https://www.bayesfusion.com/.
  31. K. S. Hwang and S. B. Cho, "Landmark detection from mobile life log using a modular Bayesian network model," Expert Systems with Applications, vol. 36, no.10, pp.12065-12076, Dec. 2009. https://doi.org/10.1016/j.eswa.2009.03.002
  32. S. Fenz, "An ontology-based approach for constructing Bayesian networks," Data & Knowledge Engineering, vol.73, pp. 73-88, Mar. 2012. https://doi.org/10.1016/j.datak.2011.12.001