• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.541-545
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• 2012

이 연구에서는 SEEP2D 모형을 사용하여 하부에 투수지반을 갖는 제방 내부의 침투흐름에 대한 수치모의를 수행하였다. 제방의 재료는 4대강사업 낙동강 제2하구둑 건설 현장에서 채취한 시료를 사용하였으며, 입도분석과 들밀도시험을 통해 구한 제방의 건조단위중량과 다짐도 및 제방의 투수계수는 각각 $1.372g/cm^3$, 93%, 1.35 m/day이다. 투수지반층과 1:3 비탈경사를 가지는 제방모형을 제작하여 연직 이차원 정상류 침투해석 모형을 해석하는 SEEP2D 프로그램을 사용하여 나온 결과 값을 수리모형 실험 결과 값과 비교하였다. 모의조건은 0.45 m, 0.50 m, 0.55 m, 0.60 m의 4가지 수위(각각 Case1~4)조건에 대하여 수리모형실험과 동일한 조건을 수치모형에 적용하였다. 수치모형의 결과는 실험결과와 비교적 일치하였지만 제방의 비탈사면이 시작하는 부분에서는 수치모형의 결과 값보다 실험결과 값이 작은 것으로 확인되었다. 각각의 조건별로 수치해와 실험 결과값을 비교해본 결과 대체적으로 비슷한 양상을 보였지만 제방의 비탈사면이 시작하는 지점부터 수치모형의 결과 값보다 실험결과 값이 작은 것으로 확인되었다. Case3의 경우 4.35 m 지점부터 6.00 m 지점까지 유출이 발생하였으며 수치모형의 결과값과 실험결과 값의 차이가 가장 작게 나타났다. 사면유출 길이는 Case4에서 가장 길게 나타났으며 최대 4.10 cm로 발생하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.316-316
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• 2012

본 연구에서는 국립환경과학원에서 체계화된 유역 및 하천환경 DB 구축을 통해 국내 모든 하천에 대한 수리 수문학적 기초자료를 표준화기 위해 만들고 있는 한국형 Reach File을 통하여 경안천 유역에 대해 QUAL2E 모형을 이용하여 수질모의 하고자 한다. 수질 모델링의 적용 사례를 살펴본 바에 따르면 하천을 모델링하기 위해서는 현장 특성 자료의 중요성, 특히 하천수리특성에 관련된 기초 자료의 가용성 여부가 모형의 성패에 매우 중요한 역할을 함을 알 수 있다. 유량, 유속 및 폭과 깊이로 대변되는 하천 지형은 물질 이송에 대한 주요 외력 함수이며, 다른 모든 예측치 들은 이들에 의존적일 수밖에 없다. 따라서 이들의 정확한 표현은 올바른 수질 예측에 있어서 필수적이다. 국립환경과학원에서 구축하는 한국형 Reach File에는 도형 및 속성자료를 설계하였을 뿐만 아니라, 각 수계별 주요하천에 대한 Reach별로 하상단면정보 및 수리계수를 DB화하여 관리하고 있기 때문에 대상 하천의 유량, 유속 및 수심자료를 일괄적으로 제공을 하고 있다. 본 연구에서는 한국형 Reach File을 통하여 경안천유역의 수질을 모의하였다. Reach File에는 경안천 유역의 Reach 별로 수리학적 특성인 하천연장, 하상경사, 조도계수, 수리계수등 QUAL2E 모델의 입력자료등을 제공해 줌으로써 수질모의 과정의 정량화 및 간편화를 가능하게 하였다. 또한 효율성 증대에 기여하는 바가 클 것으로 예상되며 2013년 6월부터 시행되는 한강수계 수질오염총량관리 의무제 시행과 관련하여 보다 과학적이고 정확한 모델링 결과 도출이 가능할 것으로 판단된다.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.193-197
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• 2021

The pandemic situation caused by COVID-19 has a large and small impact on our society socially, economically, psychologically, and other aspects. In order to prevent the spread of COVID-19, various countries, including Korea, have entered into long-term home care and distance learning systems. However, distance learning experiments conducted in many countries have raised whether face-to-face education can be replaced by distance learning. Therefore, in this study, public opinion, social perception, and field trends were analyzed based on media reports on distance learning. For this purpose, 2,600 articles from 11 newspapers and four broadcasters related to distance learning were collected in this study. Based on this data, keyword trend analysis, topic modeling analysis, sentiment analysis were performed.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.36-36
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• 2022

2010년대 후반에 딥 러닝 관련 기술이 발전하고 복잡한 강우-유출 현상을 모의하는데 적합하다는 점이 알려지면서 많은 수문관련 연구에서 딥러닝 기법을 통하여 수문모델링을 대체 가능함을 제시하여 왔다. 그러나, 이러한 가능성은 단순 모의효율을 통한 분석이므로 실제 수문관리 현장에 대한 적용을 위한 고찰이 필요한 시점이다. 이에 본 연구에서는 딥러닝 기법을 통하여 수문모의의 가능성을 고찰하고 개선점을 고찰하고자 한다. 이를 위하여 수문자료에 많이 적용되는 LSTM 기법과 수문모형인 TANK모형을 이용하여 경상남도의 형산강 유역을 대상으로 2013년부터 2020년까지의 유출량을 모의하고 그 결과를 비교 분석하였다. 형산강 유역에 대한 수문모의를 수행한 결과, LSTM 기법을 이용한 수문모의가 TANK모형에 비하여 높은 모의효율을 보여주었다. 그러나, 높은 모의효율에도 불구하고 유역의 물리적인 강우-유출과정을 모사하는 수문모형과 달리 LSTM 기법은 인간이 이해할 수 없는 과정을 통하여 학습하고 구조화되므로 기존과 다른 경향의 입력자료로 인한 예측오류가 발생할 가능성과 그에 따른 인간의 판단불가에 따른 문제를 내포하고 있음을 고찰하였다. 따라서, 딥러닝을 이용하여 수문모델링 분야에 수문모형을 전면적으로 대체하기에는 어려움이 있을 것이다. 본 연구에서는 현재까지의 딥러닝을 이용하여 수문모형을 대체하기 위해서는 ① 국민의 생활에 직접적으로 영향을 미치는 분야가 아닌 단순 연구목적이나 위험성 분석 등에 적용하거나, ② 딥러닝의 모의결과에 대해 사용자가 검토하거나 판단할 수 있는 의사결정 체계를 구축하거나, ③ 도출된 결과에 대한 윤리적 검토나 책임소재에 대한 사회적 합의 등이 선결되어야 할 것이다.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.10
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• pp.1145-1156
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• 2015

There is a shortage of mobile application systems readily applicable to the field of crop cultivation in relation to diseases and insect pests directly connected to the quality of crops. Most of system have been devoted to diseases and insect pests that would offer full predictions and basic information about diseases and insect pests currently. But for lack of the instant diagnostic functions seriously and the field of crop cultivation, we design and implement a crop cultivation field-oriented smart diseases and insect pests information retrieval system based on mobile for u-Farm. The proposed system had such advantages as providing information about diseases and insect pests in the field of crop cultivation and allowing the users to check the information with their smart-phones real-time based on the Lucene, a search library useful for the specialized analysis of images, and JSON data structure. And it was designed based on object-oriented modeling to increase its expandability and reusability. It was capable of search based on such image characteristic information as colors as well as the meta-information of crops and meta-information-based texts. The system was full of great merits including the implementation of u-Farm, the real-time check, and management of crop yields and diseases and insect pests by both the farmers and cultivation field managers.

• Korean Journal of Construction Engineering and Management
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• v.19 no.1
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• pp.43-53
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• 2018

Modular construction can improve construction quality and accuracy through manufacturing process, and it allow massive production and cost savings by repeatedly producing the same unit. In particular, it is possible to reduce the time because the on-site work and the manufacturing process can be carried out at simultaneously. However, according to the modular construction project survey report, there is no significant difference regarding the average construction period between modular construction and conventional construction. This is due to schedule delay problems that occur during construction phase. Therefore, it is necessary to select alternatives to prevent schedule delay during on-site construction progressing. Especially, in case of large-scale modular construction project, on-site module assembly and manufacturing process are performed concurrently. Hence, identification of alternatives should be done at the co-occurrence by taking both manufacturing and on-site work process in to account. In this research, the management factors of large-scale modular construction project were identified through the IDEF0 modeling, and the quantity management model for manufacturing and assembly is developed. This will reduce the schedule delay problem that occurs in the progression on-site work of a large scale modular construction.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.31 no.4
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• pp.326-339
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• 1995

In this paper, the validity of the numerical model of fishes' behavior presented in our earlier paper was examined by the whiteness test on the residual of numerical model and by the comparison between experiment and simulation on several indexes represented by fishes' swimming characteristics. The validity of the numerical model was proved statistically by means of the whiteness test of the residual. The similarity was confirmed by comparison between experiment and simulation for the swimming trajectory of fishes, the mean distance of individual from wall, the mean swimming speed and the mean distance between the nearest individuals. These results suggest that the behavior of fishes according to the flow speed in three-dimensional space can be estimated partially by the numerical model presented in our earlier paper. However, a long-term approach to improve the modeling technique on the behavior of fishes may be needed before applying the numerical model presented in our earlier paper to real fishing ground.

• Tunnel and Underground Space
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• v.30 no.4
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• pp.271-305
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• 2020

An effect of coupled thermo-hydro-mechanical and chemical (THMC) behavior is an essential part of the performance and safety assessment of geological disposal systems for high-level radioactive waste and spent nuclear fuel. Furthermore, numerical models and modeling techniques are necessary to analyze and predict the coupled THMC behavior in the disposal systems. However, phenomena associated with the coupled THMC behavior are nonlinear, and the constitutive relationships between them are not well known. Therefore, it is challenging to develop numerical models and modeling techniques to analyze and predict the coupled THMC behavior in the geological disposal systems. It is also difficult to verify and validate the development of the models and techniques because it requires expensive laboratory tests and in-situ experiments that need to be performed for a long time. DECOVALEX was initiated in 1992 to efficiently develop numerical models and modeling techniques and validate the developed models and techniques against the lab and in-situ experiments. In Korea, Korea Atomic Energy Research Institute has participated in DECOVALEX-2011, DECOVALEX-2015, and DECOVALEX-2019 since 2008. In this study, all tasks in the three DECOVALEX projects were introduced to the researcher in the field of rock mechanics and geotechnical engineering in Korea.

• Journal of the Korean GEO-environmental Society
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• v.13 no.10
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• pp.15-23
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• 2012

A numerical model and field monitoring data are used to estimate a change in groundwater level at a borrow site, which will be constructed at the mountainous area with a large ground excavation in the study area, Hwaseong city. Lithologic data and hydraulic coefficients are collected at 9 boreholes and also groundwater levels are measured at these boreholes and existing wells in the study area. Additionally, groundwater recharge rate for the type of land cover is estimated using water budget analysis; 133.34mm/year for a mountainous area, 157.68mm/year for a farming area, 71.08mm/year for an urbanized area, and 26.06mm/year for a bedrock exposure area. The change in groundwater level in and around a borrow site is simulated with Modflow using these data. The result of a transient model indicates that a removal of high ground (over 40El.m) by an excavation will produce a decrease in groundwater levels, up to 1 m, around a borrow site in 10 years. It also explains that this ground excavation will bring about the decreases of 9.4% and 7.0% for groundwater recharge and surface runoff, respectively, which are the factors causing groundwater level's change. This study shows that it is required to construct the groundwater monitoring wells to observe the change of groundwater near a borrow site.

• Journal of the Korea Convergence Society
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• v.9 no.4
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• pp.23-29
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• 2018

To reduce the accident rate caused by the delay of corrective action, which is common in the construction site, in order to shorten the time from correcting the existing system to the corrective action, I used a time similarity check to inform the inspectors of the problem in real time, modeling the system so that corrective action can be performed immediately on site, and studied a system that can actively cope with safety accidents. The research result shows that there is more than 90% opening effect and more than 60% safety accident reduction rate. I will continue to study more effective system combining voice recognition and deep learning based on this system.