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Hyeonsoo Jo,Seunghun Lee,Eunjong Kim,Heekwon Ahn 한국토양비료학회 2017 한국토양비료학회지 Vol.50 No.4
This experiment was conducted to evaluate the effect of leachate replacement frequency on solid state anaerobic digestion (SSAD) of dairy manure using 22 L volume lab-scale digesters at mesophilic temperature(37°C) in batch mode. Three different leachate replacement strategies (no replacement, once every three days, and once every nine days) were applied and three digesters per each treatment were operated for 45 days. Results showed that leachate replacement test unit every nine days resulted in 1.6 times more methane production (53.8 N·mL g<SUP>-1</SUP>·VS) from SSAD compared to test unit every three days (34.0 N·mL g<SUP>-1</SUP><SUP></SUP>·VS). No leachate replacement strategy applied group showed slightly higher methane production (56.3 N·mL g<SUP>-1</SUP>·VS) than every nine days replaced one. When added the methane production potential of replaced leachate itself to the methane produced from digester, leachate replacement every nine days resulted in quite similar methane production (56.5 N·mL g<SUP>-1</SUP>·VS) to no leachate replacement group. Even though methane production potential of replaced leachate itself added to the methane produced from digester, every three days replacement showed only 34 N·mL methane production per gram of volatile solids. These results suggest that farmers do not need to replace leachate during SSAD of dairy manure and sawdust mixture in order to maximize methane production. If there are any concerns with accumulation of inhibiting substances in the digester, the 9-day cycle leachate replacement is appropriate.
Hyeonsoo Jo,Seunghun Lee,Jaehee Lee,Eunjong Kim,Heekwon Ahn 한국토양비료학회 2016 한국토양비료학회지 Vol.49 No.3
The influence of mixing on biogas production and organic material removal performance of solid state anaerobic digestion of dairy manure and sawdust bedding mixtures was evaluated using 22 L volume lab-scale digesters. After 45 days of anaerobic digestion at 37°C, cumulative methane yield of unmixed test unit (73.1 N·mL/g-VS) was almost 1.3 times of that of mixed one (56.3 N·mL/g-VS). The biodegradable volatile solids removal rate of unmixed test unit was 67%, which was almost 28% greater than mixed one. Our results reveal that unmixed condition is better than mixed one in terms of biogas production and organic material reduction.
Jo, Hyeonsoo,Lee, Seunghun,Kim, Eunjong,Ahn, Heekwon 한국토양비료학회 2017 한국토양비료학회지 Vol.50 No.4
This experiment was conducted to evaluate the effect of leachate replacement frequency on solid state anaerobic digestion (SSAD) of dairy manure using 22 L volume lab-scale digesters at mesophilic temperature ($37^{\circ}C$) in batch mode. Three different leachate replacement strategies (no replacement, once every three days, and once every nine days) were applied and three digesters per each treatment were operated for 45 days. Results showed that leachate replacement test unit every nine days resulted in 1.6 times more methane production ($53.8N{\cdot}mL\;g^{-1}{\cdot}VS$) from SSAD compared to test unit every three days ($34.0N{\cdot}mL\;g^{-1}{\cdot}VS$). No leachate replacement strategy applied group showed slightly higher methane production ($56.3N{\cdot}mL\;g^{-1}{\cdot}VS$) than every nine days replaced one. When added the methane production potential of replaced leachate itself to the methane produced from digester, leachate replacement every nine days resulted in quite similar methane production ($56.5N{\cdot}mL\;g^{-1}{\cdot}VS$) to no leachate replacement group. Even though methane production potential of replaced leachate itself added to the methane produced from digester, every three days replacement showed only $34N{\cdot}mL$ methane production per gram of volatile solids. These results suggest that farmers do not need to replace leachate during SSAD of dairy manure and sawdust mixture in order to maximize methane production. If there are any concerns with accumulation of inhibiting substances in the digester, the 9-day cycle leachate replacement is appropriate.
Jo, Hyeonsoo,Lee, Seunghun,Lee, Jaehee,Kim, Eunjong,Ahn, Heekwon 한국토양비료학회 2016 한국토양비료학회지 Vol.49 No.3
The influence of mixing on biogas production and organic material removal performance of solid state anaerobic digestion of dairy manure and sawdust bedding mixtures was evaluated using 22 L volume lab-scale digesters. After 45 days of anaerobic digestion at $37^{\circ}C$, cumulative methane yield of unmixed test unit ($73.1N{\cdot}mL/g-VS$) was almost 1.3 times of that of mixed one ($56.3N{\cdot}mL/g-VS$). The biodegradable volatile solids removal rate of unmixed test unit was 67%, which was almost 28% greater than mixed one. Our results reveal that unmixed condition is better than mixed one in terms of biogas production and organic material reduction.
Graph Structure Learning-Based Neural Network for ETF Price Movement Prediction
조현수(Hyeonsoo Jo),김진기(Jin-gee Kim),김태훈(Taehun Kim),신기정(Kijung Shin) Korean Institute of Information Scientists and Eng 2024 정보과학회논문지 Vol.51 No.5
상장지수펀드(ETF)는 특정 지수를 추종하는 인덱스 펀드로, 개별 종목에 대한 위험도 및 운용보수가 낮다는 특징을 가지고 있다. ETF 예측을 위해 다양한 방법들이 개발되었으며 최근 인공지능 기반기술들이 개발되고 있다. 대표적인 방법은 시계열 기반 인공신경망을 활용하여 ETF의 가격 방향성을 예측하는 것이다. 이는 ETF의 과거 가격 정보들을 효과적으로 반영하여 ETF의 등락을 예측할 수 있다는 장점이 있다. 하지만 개별 ETF의 과거 정보만 사용할 뿐 서로 다른 ETF 간의 관계를 반영하지 못하는 한계점을 지닌다. 이러한 문제를 해결하기 위해 본 논문에서는 ETF 간의 관계를 반영할 수 있는 모델을 제안한다. 제안 모델은 그래프 구조 학습을 통해 다양한 ETF 간의 관계를 표현하는 그래프를 추론하고, 이를 기반으로 그래프 신경망 모델을 통해 ETF 가격 방향성을 예측한다. 실험을 통해, 제안 모델이 개별 ETF 정보만 사용한 시계열 모델보다 우수한 예측 성능을 보이는 것을 확인하였다. Exchange-Traded Funds (ETFs) are index funds that mirror particular market indices, usually associated with their low risk and expense ratio to individual investors. Various methods have emerged for accurately predicting ETF price movements, and recently, AI-based technologies have been developed. One representative method involves using time-series-based neural networks to predict the price movement of ETFs. This approach effectively incorporates past price information of ETFs, allowing the prediction of their movement. However, it has a limitation as it only utilizes historical information of individual ETFs and does not account for the relationships and interactions between different ETFs. To address this issue, we propose a model that can capture relationships between ETFs. The proposed model uses graph structure learning to infer a graph representing relationships between ETFs. Based on this, a graph neural network predicts the ETF price movement. The proposed model demonstrates superior performance compared to time-series-based deep-learning models that only use individual ETF information.
Fluent를 이용한 3톤급 액체로켓엔진 매니폴드 내 추진제 유동 균일성 해석
윤동호(Dongho Yun),조현택(Hyeontaek Jo),장현수(Hyeonsoo Jang),현성윤(Seongyoon Hyun),정진택(Jintaeg Jung),홍용기(Yonggi Hong),윤영빈(Yuongbin Yoon) 한국추진공학회 2023 한국추진공학회 학술대회논문집 Vol.2023 No.5
Flow analysis was performed using Fluent to determine flow uniformity of 3 tonf liquid rocket engine propellant manifold. Based on the manifold initial design, the shape of the fuel distribution plate and propellant pipe inlet was changed to improve flow uniformity, and the flow uniformity of the computational analysis results for these initial and modified designs was compared/analyzed. As a result of the computational analysis, it was confirmed that the flow uniformity of the revised design was improved compared to the initial design.
Fluent를 이용한 3톤급 액체로켓엔진 매니폴드 내 추진제 유동 균일성 해석
윤동호(Dongho Yun),조현택(Hyeontaek Jo),장현수(Hyeonsoo Jang),현성윤(Seongyoon Hyun),정진택(Jintaeg Jung),홍용기(Yonggi Hong),윤영빈(Yuongbin Yoon) 한국추진공학회 2023 한국추진공학회지 Vol.27 No.4
Flow analysis was performed using Fluent to determine flow uniformity of 3 tonf liquid rocket engine propellant manifold. Based on the manifold initial design, the shape of the fuel distribution plate and propellant pipe inlet was changed to improve flow uniformity, and the flow uniformity of the computational analysis results for these initial and modified designs was compared/analyzed. As a result of the computational analysis, it was confirmed that the flow uniformity of the revised design was improved compared to the initial design.
Kim, Kee-Beom,Son, Hye-Ju,Choi, Sulji,Hahm, Ja Young,Jung, Hyeonsoo,Baek, Hee Jo,Kook, Hoon,Hahn, Yoonsoo,Kook, Hyun,Seo, Sang-Beom Oxford University Press 2015 Nucleic acids research Vol.43 No.7
<P>Histone H3K9 methyltransferase (HMTase) G9a-mediated transcriptional repression is a major epigenetic silencing mechanism. UHRF1 (ubiquitin-like with PHD and ring finger domains 1) binds to hemimethylated DNA and plays an essential role in the maintenance of DNA methylation. Here, we provide evidence that UHRF1 is transcriptionally downregulated by H3K9 HMTase G9a. We found that increased expression of G9a along with transcription factor YY1 specifically represses UHRF1 transcription during TPA-mediated leukemia cell differentiation. Using ChIP analysis, we found that <I>UHRF1</I> was among the transcriptionally silenced genes during leukemia cell differentiation. Using a DNA methylation profiling array, we discovered that the <I>UHRF1</I> promoter was hypomethylated in samples from leukemia patients, further supporting its overexpression and oncogenic activity. Finally, we showed that G9a regulates UHRF1-mediated H3K23 ubiquitination and proper DNA replication maintenance. Therefore, we propose that H3K9 HMTase G9a is a specific epigenetic regulator of UHRF1.</P>