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Han, Jinju,Han, Sunlee,Sung, Wonmo,Lee, Youngsoo Elsevier 2018 Journal of CO₂ utilization Vol.28 No.-
<P><B>Abstract</B></P> <P>This study experimentally investigated the impact of CO<SUB>2</SUB> miscible flooding on oil recovery and alteration of rock properties in two carbonate cores consisting of more than 98% calcite: Edwards white representing a homogenous medium mainly consisted of micropores, and Indiana limestone representing a heterogeneous medium mostly composed of macropores. Several methods were applied to investigate the alteration of rock properties by CO<SUB>2</SUB>-water-carbonate minerals interactions: 1) Core flooding to measure overall changes, 2) MICP and X-ray CT to analyze small pores and large pores, respectively, 3) SEM, PCM, and ICP to verify physical and chemical reactions.</P> <P>Oil recovery was higher in Edwards white than in Indiana limestone, since characteristic of Edwards white contributes to sufficient contact time and stable displacement between oil and CO<SUB>2</SUB>. From the analysis of the alteration of rock properties in homogenous sample, dissolution facilitates the enlargement of pore sizes. Therefore, fluid flow becomes more favorable. The precipitation is not critical determinant of alteration process, despite the high proportion of small pores. For heterogeneous sample, both dissolution and precipitation significantly affect to alteration of pore structure. Particularly, the precipitation seriously damaged to the main flow channels. These undesirable effects on fluid flow appeared at injection point, which was exposed to fresh CO<SUB>2</SUB> for a long time.</P> <P>This study suggests that pore structure analysis allows a more exact interpretation and judgment of the alteration of pore structure by dissolution and precipitation and can assist in designing injection plans, particularly near the injection area or in complex pore structure.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Initial pore structure is crucial for CO<SUB>2</SUB> flooding in carbonate reservoirs. </LI> <LI> Quantitative pore analysis was performed using MICP and X-ray CT. </LI> <LI> Chemical and physical reactions affect flow characteristics and oil recovery. </LI> <LI> Dissolution and precipitation are simultaneously occurred in pore network. </LI> <LI> Alteration of rock properties is important in designing CO<SUB>2</SUB> EOR and CCS. </LI> </UL> </P>
Posttranscriptional Crossregulation between Drosha and DGCR8
Han, Jinju,Pedersen, Jakob S.,Kwon, S. Chul,Belair, Cassandra D.,Kim, Young-Kook,Yeom, Kyu-Hyeon,Yang, Woo-Young,Haussler, David,Blelloch, Robert,Kim, V. Narry Elsevier 2009 Cell Vol.136 No.1
<P><B>Summary</B></P><P>The Drosha-DGCR8 complex, also known as Microprocessor, is essential for microRNA (miRNA) maturation. Drosha functions as the catalytic subunit, while DGCR8 (also known as Pasha) recognizes the RNA substrate. Although the action mechanism of this complex has been intensively studied, it remains unclear how Drosha and DGCR8 are regulated and if these proteins have any additional role(s) apart from miRNA processing. Here, we report that Drosha and DGCR8 regulate each other posttranscriptionally. The Drosha-DGCR8 complex cleaves the hairpin structures embedded in the DGCR8 mRNA and thereby destabilizes the mRNA. We further find that DGCR8 stabilizes the Drosha protein via protein-protein interaction. This crossregulation between Drosha and DGCR8 may contribute to the homeostatic control of miRNA biogenesis. Furthermore, microarray analyses suggest that a number of mRNAs may be downregulated in a Microprocessor-dependent, miRNA-independent manner. Our study reveals a previously unsuspected function of Microprocessor in mRNA stability control.</P>
Beneficial effect of steam on synthesis of hierarchically porous zeolite-templated carbons
Han Jinju,Kim Kyoungsoo 대한화학회 2022 Bulletin of the Korean Chemical Society Vol.43 No.7
Hierarchically meso-/microporous carbons were synthesized using nanocrystalline beta zeolite as a sacrificial template. The zeolite template possessed intercrystalline mesopores in addition to ordered micropores of the nanocrystals. Various amounts of steam were used with a carbon source, such as ethylene, propylene or acetonitrile, to generate a carbon structure inside the template. The synthesis results showed that adding a suitable amount of steam gave rise to faithful replication of the ordered microporous structure, while the intercrystalline mesopores were retained. That is, the carbon structure was formed selectively inside nanocrystalline zeolites rather than at the exterior by the steam addition. Microscopic observation and thermogravimetric analysis revealed that steam oxidized the carbon species deposited at the external surface of zeolite nanocrystals, and hence inhibited the undesirable carbon deposition. Furthermore, such a beneficial effect of steam could be applied for the carbon synthesis using other type zeolite templates.
전기 가격 예측을 위한 맵리듀스 기반의 로컬 단위 선형회귀 모델
한진주(Jinju Han),이인규(Ingyu Lee),온병원(Byung-Won On) 대한전기학회 2018 전기학회논문지 P Vol.67 No.4
Predicting accurate electricity prices is an important task in the electricity trading market. To address the electricity price forecasting problem, various approaches have been proposed so far and it is known that linear regression-based approaches are the best. However, the use of such linear regression-based methods is limited due to low accuracy and performance. In traditional linear regression methods, it is not practical to find a nonlinear regression model that explains the training data well. If the training data is complex (i.e., small-sized individual data and large-sized features), it is difficult to find the polynomial function with n terms as the model that fits to the training data. On the other hand, as a linear regression model approximating a nonlinear regression model is used, the accuracy of the model drops considerably because it does not accurately reflect the characteristics of the training data. To cope with this problem, we propose a new electricity price forecasting method that divides the entire dataset to multiple split datasets and find the best linear regression models, each of which is the optimal model in each dataset. Meanwhile, to improve the performance of the proposed method, we modify the proposed localized linear regression method in the map and reduce way that is a framework for parallel processing data stored in a Hadoop distributed file system. Our experimental results show that the proposed model outperforms the existing linear regression model. Specifically, the accuracy of the proposed method is improved by 45% and the performance is faster 5 times than the existing linear regression-based model.
다양한 형태의 사물데이터 질의 처리를 위한 단일 색인 및 시각화 방안
한진주(Jinju Han),나철원(Chul-Won Na),이다희(Dahee Lee),이도훈(Do-Hoon Lee),온병원(Byung-Won On),이용(Ryong Lee),박민우(Min-Woo Park),이상환(Sang-Hwan Lee) 한국컴퓨터정보학회 2019 韓國컴퓨터情報學會論文誌 Vol.24 No.9
Recently, a variety of IoT data is collected by attaching geosensors to many vehicles that are on the road. IoT data basically has time and space information and is composed of various data such as temperature, humidity, fine dust, Co2, etc. Although a certain sensor data can be retrieved using time, latitude and longitude, which are keys to the IoT data, advanced search engines for IoT data to handle high-level user queries are still limited. There is also a problem with searching large amounts of IoT data without generating indexes, which wastes a great deal of time through sequential scans. In this paper, we propose a unified spatial index model that handles both grid and trajectory queries using a cell-based space-filling curve method. also it presents a visualization method that helps user grasp intuitively. The Trajectory query is to aggregate the traffic of the trajectory cells passed by taxi on the road searched by the user. The grid query is to find the cells on the road searched by the user and to aggregate the fine dust. Based on the generated spatial index, the user interface quickly summarizes the trajectory and grid queries for specific road and all roads, and proposes a Web-based prototype system that can be analyzed intuitively through road and heat map visualization.
유아와 어머니가 재구성한 집 공간의 의미: COVID-19 대유행 시기 동안
한진주 ( Han Jinju ) 한국유아교육학회 2022 유아교육연구 Vol.42 No.6
This study aims to explore the spatial meaning of the house experienced by children and mothers during the COVID-19 pandemic. The results of interviews with seven families' mothers and children during three months of research are as follows. First, participants created a vacant space in the house into a diversiform space through affection. Second, each participant experienced the house space in different meanings. Third, the participants extended the hidden house space in fantasy and time. Fourth, they experienced limited house space due to the monitoring of others and the prevention of infectious diseases. Based on the research results, expansion of the understanding horizon of spatially divided into space/human, and inside/outside, etc. were discussed. Furthermore, children were found to be spatial beings that make house spaces heterogeneously.