강제환기식 돈사의 환기량 추정을 위한 회귀모델의 비교
Comparison of Regression Models for Estimating Ventilation Rate of Mechanically Ventilated Swine Farm
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초록
To estimate the ventilation volume of mechanically ventilated swine farms, various regression models were applied, and errors were compared to selectthe regression model that can best simulate actual data. Linear regression, linear spline, polynomial regression (degrees 2 and 3), logistic curve,generalized additive model (GAM), and gompertz curve were compared. Overfitting models were excluded even when the error rate was small. Theevaluation criteria were root mean square error (RMSE) and mean absolute percentage error (MAPE). The evaluation results indicated that degree 3exhibited the lowest error rate; however, an overestimation contradiction was observed in a certain section. The logistic curve was the most stable andsuperior to all the models. In the estimation of ventilation volume by all of the models, the estimated ventilation volume of the logistic curve was thesmallest except for the model with a large error rate and the overestimated model.
Abstract
To estimate the ventilation volume of mechanically ventilated swine farms, various regression models were applied, and errors were compared to selectthe regression model that can best simulate actual data. Linear regression, linear spline, polynomial regression (degrees 2 and 3), logistic curve,generalized additive model (GAM), and gompertz curve were compared. Overfitting models were excluded even when the error rate was small. Theevaluation criteria were root mean square error (RMSE) and mean absolute percentage error (MAPE). The evaluation results indicated that degree 3exhibited the lowest error rate; however, an overestimation contradiction was observed in a certain section. The logistic curve was the most stable andsuperior to all the models. In the estimation of ventilation volume by all of the models, the estimated ventilation volume of the logistic curve was thesmallest except for the model with a large error rate and the overestimated model.
참고문헌 (34)
- Aarnink, A. J. A., "Ammonia emission patterns during the growing periods of pigs housed on partially slatted floors", Journal of Agricultural Engineering Research, 62(2), pp.105~116 (1995)[DOI]
- Aarnink, A. J. A., "Effect of slatted floor area on ammonia emission and on the excretory and lying behaviour of growing pigs", Journal of Agricultural and Engineering Research, 64(4), pp.299~310 (1996)[DOI]
- Abowei, M. F. N., "Modelling cow-dung and grass-clippings isothermal continuous stirred co-digester for biogas production using modified Gompertz rate equation", European Journal of Engineering Research and Science, 4(3), pp.196~202 (2019)[DOI]
- Archives American Society of Heating, Refrigerating and Air-Conditioning Engineers, "1993 ASHRAE Handbook: fundamentals", ~ (1993)
- Anthony, T. R., "Modeled effectiveness of ventilation with contaminant control devices on indoor air quality in a swine farrowing facility", Journal of Occupational and Environmental Hygiene, 11(7), pp.434~449 (2014)[DOI]
- Breum, N. O., "Upward vs. downward ventilation air flow in a swine house", Transactions of the American Society of Agricultural Engineers, 33(5), pp.1693~1699 (1990)[DOI]
- Casey, K. D., "On-farm ventilation fan performance evaluations and implications", Journal of Applied Poultry Research, 17(2), pp.283~295 (2008)[DOI]
- Coyne, J. M., "Estimation of genetic(co)variances of Gompertz growth function parameters in pigs", Journal of Animal Breeding and Genetics, 134(2), pp.136~143 (2017)[DOI]
- Ecim-Djuric, O., "Energy efficiency optimization of combined ventilation systems in livestock buildings", Energy and Buildings, 42(8), pp.1165~1171 (2010)[DOI]
- Fuller, S. B., "Estimating attitude and wind velocity using biomimetic sensors on a microrobotic bee", Proc. IEEE International Conference on Robotics and Automation, pp.1374~1380 (2013)
- Gompertz, B., "On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies", Proceedings of the Royal Society of London, 2, pp.252~253 (1825)[DOI]
- Hastie, T., "Generalized additive models", Statistical Science, 1(3), pp.297~310 (1986)[DOI]
- Heber, A. J., "Effect of a manure additive on ammonia emission from swine finishing buildings", Transactions of the American Society of Agricultural Engineers, 43(6), pp.1895~1902 (2000)[DOI]
- Holt, J., "Changes in inorganic fine particulate matter sensitivities to precursors due to large-scale us emissions reductions", Environmental Science and Technology, 49(8), pp.4834~4841 (2015)[DOI]
- 김락우, "돈사 내부 열환경 분포의 공기연령 이론법 적용을 통한 전산유체역학 환기 예측 모델 개발", 한국농공학회논문집, 59(6), pp.61~71 (2017), 한국농공학회[DOI]
- Lever, J., "Points of significance : Model selection and overfitting", Nature Methods, 13(9), pp.703~704 (2016)[DOI]
- Lim, T. T., "Effects of manure removal strategies on odor and gas emissions from swine finishing", Transactions of the American Society of Agricultural Engineers, 47(6), pp.2041~2050 (2004)[DOI]
- Moophayak, K., "Evaluation of an I-box wind tunnel model for assessment of behavioral responses of blow flies", Parasitology Research, 112(11), pp.3789~3798 (2013)[DOI]
- Nagula, M., "Forecasting of fuel cell technology in hybrid and electric vehicles using Gompertz growth curve", Journal of Statistics and Management Systems, 19(1), pp.73~88 (2016)[DOI]
- Ni, J. Q., "Ammonia emission from a large mechanically-ventilated swine building during warm weather", Journal of Environmental Quality, 29(3), pp.751~758 (2000)[DOI]
- Nikolaev, N., "Overfitting avoidance in genetic programming of polynomials", Proc. Congress on Evolutionary Computation, pp.1209~1214 (2002)
- "National Air Pollutants Emission Service" (2016)[URL]
- 오병욱, "전산유체역학을 사용한 양돈장 내 작업환경 환기효율성 분석", 한국농공학회논문집, 61(2), pp.85~95 (2019), 한국농공학회[DOI]
- 박석규, "Gompertz 성장곡선 기반 소프트웨어 신뢰성 성장 모델", 정보처리학회논문지D, 11(7), pp.1451~1458 (2004), 한국정보처리학회
- Pavlov, N., "A new class of Gompertz–type software reliability models", International Electronic Journal of Pure and Applied Mathematics, 12(1), pp.43~57 (2018)[DOI]
- Schiferl, L. D., "An investigation of ammonia and inorganic particulate matter in california during the calnex campaign", Journal of Geophysical Research, 119(4), pp.1883~1902 (2014)[DOI]
- 서일환, "강제환기식 돈사의 환기 효율성 분석을 위한 CFD 모델 개발", 한국농공학회논문집, 50(1), pp.25~37 (2008), 한국농공학회
- Sharma, M., "Role of atmospheric ammonia in the formation of inorganic secondary particulate matter: A study at Kanpur, India", Journal of Atmospheric Chemistry, 58(1), pp.1~17 (2007)[DOI]
- Simmons, J. D., "Reduction of poultry ventilation fan output due to shutters", Applied Engineering in Agriculture, 13(5), pp.671~673 (1997)[DOI]
- Tang, L., "Equivalent circuit representation and analysis of gallopingbased wind energy harvesting", IEEE, 2015, pp.20(2), 834~844
- 윤상후, "통계적모형을 통한 고해상도 일별 평균기온 산정", 한국데이터정보과학회지, 27(5), pp.1215~1224 (2016), 한국데이터정보과학회[DOI]
- Verhulst, P. F., "Deuxième mémoire sur la loi d’accroissement de la population", Mémoires de l’Académie Royale des Sciences, des Lettres et des Beaux-Arts de Belgique, 20, pp.1~32 (1847)
- Verification of Environmental Technologies for Agricultural Production (VERA), "Test Protocol for Livestock Housing and Management Systems", 48~ (2011)
- Zhu, J., "Daily variations in odor and gas emissions from animal facilities", Applied Engineering in Agriculture, 16(2), pp.153~158 (2000)[DOI]