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기계학습 모형을 이용한 양계 복합 악취의 요인 파악에 대한 연구
김도윤(Doyun Kim),김재훈(Jaehoon Kim),박준수(Junsu Park),서시영(Siyoung Seo),김재은(Jaeeun Kim),양병준(Byeong-jun Yang),허태영(Tae-Young Heo) 한국통계학회 2024 응용통계연구 Vol.37 No.4
현대 사회로 발전함에 따라 가축의 수가 증가하고 있으며, 악취는 심각한 사회 문제로 인식되어 지고 있다. 특히, 닭, 오리 및 칠면조와 같은 가금류 고기들의 소비량은 가파른 상승세를 보이고 양계축사 근처에서 악취 문제가 두각을 보인다. 악취 문제를 해결하기 위해, 악취 구성 인자들의 복합 악취에 대한 영향력을 파악하는 것이 중요하다. 본 연구에선 양계 농장에서 얻어진 복합 악취 데이터를 기계 학습 모형을 이용하여 복합 악취를 예측하고 복합 악취에 구성 인자들이 어떠한 영향을 주는지 분석하였다. 추가적으로, 분산분석을 이용하여 부지경계, 퇴비장, 계사내부, 계사외부에서의 주요 악취 구성 인자들의 농도 차이를 분석하였다. 분석 결과, 복합 악취에 큰 영향을 미치는 구성 인자들로는 암모니아, 트라이메틸아민, 다이메틸다이설파이드, 아세트알데하이드로 나타났다. 특히, 암모니아, 트라이메틸아민, 아세트알데하이드는 양계 위치별로 농도의 차이가 있는 것으로 나타났다. With the development of modern society, the number of livestock is increasing, and the corresponding odor is recognized as a serious social problem. In particular, the consumption of poultry meat, such as chicken, duck, and turkey, is expected to rise steeply, making odor problems near poultry farms. To address the problem, it is important to understand the influence of odor components on the complex odor. In this study, the odor data obtained from poultry farms were used to predict the complex odor using machine learning models and analyze the influence of the components. Furthermore, we analyze the differences in the amount of the odor components at the site boundary, compost site, inside the farm, and outside the farm using analysis of variance. The analysis showed that ammonia, trimethylamine, dimethyldisulfide, and acetaldehyde have a high effect on the complex odor. In particular, ammonia, trimethylamine, and acetaldehyde have dierent amount of the occurence by the location.
Kim, Jiwoong,Kwon, Hanjung,Kim, Jae-Hee,Roh, Ki-Min,Shin, Doyun,Jang, Hee Dong Elsevier 2015 JOURNAL OF ALLOYS AND COMPOUNDS Vol.619 No.-
<P><B>Abstract</B></P> <P>The elastic properties and electronic structures of partially ordered and disordered Zr(C<SUB>1−</SUB> <I> <SUB>x</SUB> </I>N<I> <SUB>x</SUB> </I>) solid solution compounds were investigated using first principles calculations to understand the effects of nitrogen content and atomic distribution. To obtain a proper exchange–correlation energy, we used local density and generalized gradient approximations with Perdew–Burke–Ernzerhof (LDA and GGA-PBE) parametrization. Partially ordered and disordered structures of Zr(C<SUB>1−</SUB> <I> <SUB>x</SUB> </I>N<I> <SUB>x</SUB> </I>) compounds were expressed using unit cell and special quasi-random structure (SQS) models, respectively. We demonstrated that although the disordered models have P1 symmetry with different model sizes and cell shapes compared with ordered models, they reproduce the equilibrium structure and elastic properties of the Zr(C<SUB>1−</SUB> <I> <SUB>x</SUB> </I>N<I> <SUB>x</SUB> </I>) compounds with B1 (Fm-3m) symmetry. However, clear differences exist in the electronic structures. Therefore, the atomic configuration is essential for calculating the electronic structures of the Zr(C<SUB>1−</SUB> <I> <SUB>x</SUB> </I>N<I> <SUB>x</SUB> </I>) compounds.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Elastic and electronic properties of Zr(C<SUB>1−<I>x</I> </SUB>N<SUB> <I>x</I> </SUB>) compounds by first principles. </LI> <LI> We elucidate the effects of atomic configuration on compound properties. </LI> <LI> Ordered and disordered models are depicted by unit cell and special quasi-random structures. </LI> <LI> Disordered structures are suitable models to estimate compound elastic properties. </LI> <LI> The atomic configuration is essential to obtain accurate electronic structures. </LI> </UL> </P>
Kim Doyun,Bak Myeong Seong,Park Haney,Baek In Seon,Chung Geehoon,박재현,Ahn Sora,Park Seon-Young,배현수,Park Hi-Joon,김선광 한국뇌신경과학회 2023 Experimental Neurobiology Vol.32 No.3
Quantification of tyrosine hydroxylase (TH)-positive neurons is essential for the preclinical study of Parkinson’s disease (PD). However, manual analysis of immunohistochemical (IHC) images is labor-intensive and has less reproducibility due to the lack of objectivity. Therefore, several automated methods of IHC image analysis have been proposed, although they have limitations of low accuracy and difficulties in practical use. Here, we developed a convolutional neural network-based machine learning algorithm for TH+ cell counting. The developed analytical tool showed higher accuracy than the conventional methods and could be used under diverse experimental conditions of image staining intensity, brightness, and contrast. Our automated cell detection algorithm is available for free and has an intelligible graphical user interface for cell counting to assist practical applications. Overall, we expect that the proposed TH+ cell counting tool will promote preclinical PD research by saving time and enabling objective analysis of IHC images.
Kim, Doyun,Sathesh-Prabu, Chandran,JooYeon, Young,Lee, Sung Kuk American Chemical Society 2019 Journal of agricultural and food chemistry Vol.67 No.38
<P>γ-Hydroxyvalerate (4HV) is an important monomer used to produce various valuable polymers and products. In this study, an engineered 3-hydroxybutyrate dehydrogenase that can convert levulinic acid (LA) into 4HV was co-expressed with a cofactor (NADH) regeneration system mediated by an NAD<SUP>+</SUP>-dependent formate dehydrogenase (<I>Cb</I>FDH) in the <I>Escherichia coli</I> strain, MG1655. The resulting strain produced 23-fold more 4HV in a shake flask. The 4HV production was not dependent on ATP and required low aeration; all of these are considered beneficial characteristics for the production of target compounds, especially at an industrial scale. Under optimized conditions in a 5 L fermenter, the titer, productivity, and molar conversion efficiency for 4HV reached 100 g/L, 4.2 g/L/h, and 92%, respectively. Our system could prove to be a promising method for the large-scale production of 4HV from LA at low-cost and using a renewable biomass source.</P> [FIG OMISSION]</BR>
Doyun KIM,Sung Kuk LEE 한국생물공학회 2021 한국생물공학회 학술대회 Vol.2021 No.4
γ-Hydroxyvalerate (4HV) is an important monomer that has been used to produce various valuable polymers and products. In this study, an engineered 3-hydroxybutyrate dehydrogenase that can convert levulinic acid (LA) into 4HV was co-expressed with a cofactor (NADH) regeneration system mediated by an NAD<sup>+</sup>-dependent formate dehydrogenase (CbFDH) in the Escherichia coli strain, MG1655. The resulting strain produced 23-fold more 4HV in a shake flask. The 4HV was highly produced at low aeration condition suggesting that ATP is not a limiting factor. All of these factors are considered beneficial characteristics for the production of target compounds, especially at an industrial scale. Under optimized conditions in a 5 L fermenter, the titer, productivity, and molar conversion efficiency for 4HV reached 100 g/L, 4.2 g/L/h, and 92%, respectively. Our system could prove to be a promising method for the large-scale production of 4HV from LA at low-cost and using a renewable biomass source.