• 한국농공학회:학술대회논문집
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• 한국농공학회 2002년도 학술발표회 발표논문집
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• pp.105-108
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• 2002

In this study, flood influence analysis in the downstream of Sung-Ju dam was simulated using HEC-RAS model. Input data for the simulation was which measured water level, water velocity, stream section etc. HEC-RAS model could be applied to steady flow or gradually varied flow in natural or artificial stream. HEC-RAS model which can simulate real-time changing water level and compute water surface curve was supplied to show the standard influent amount of Sung-Ju dam. Through this study the submerged damage of Sung-Ju dam's downstream would be minimized.

• 농촌계획
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• 제3권2호
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• pp.81-89
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• 1997

Still today, many streams are channelized and embanked in Korea. On the other hand, some urban streams are being restored to their natural shapes by landscape planners. It would be better to improve rural streams in a way that would not require restoration in later days. Then, one important question is what kind of embankments the residents prefer for what reasons. Five simulated photos showing from very natural to artificial embankments were used in surveying 90 residents of three villages. Major findings are ; 1. Residents regard safety(from flooding) is the most critical factor to be considered in selection of stream bank materials. 2. They think ideal materials are natural stones or concrete blocks as they look tidy. Concrete retaining walls or vegetated natural slopes are not regarded good. 3. The most preferred material is concrete retaining wall, and the least preferred is vegetated natural slope. They prefer concrete retaining wall which they do not think an ideal material, because it will make a safe bank. 4. Natural stone bank is most preferred for its apperance, and vegetated natural slpoe is most disliked as it may collapse and as it does not look clean.

• Journal of Information Processing Systems
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• 제19권4호
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• pp.439-449
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• 2023

This paper deals with a resource efficient artificial intelligence (AI) service architecture for multi-channel video streams. As an AI service, we consider the object detection model, which is the most representative for video applications. Since most object detection models are basically designed for a single channel video stream, the utilization of the additional resource for multi-channel video stream processing is inevitable. Therefore, we propose a resource efficient AI service framework, which can be associated with various AI service models. Our framework is designed based on the modular architecture, which consists of adaptive frame control (AFC) Manager, multiplexer (MUX), adaptive channel selector (ACS), and YOLO interface units. In order to run only a single YOLO process without regard to the number of channels, we propose a novel approach efficiently dealing with multi-channel input streams. Through the experiment, it is shown that the framework is capable of performing object detection service with minimum resource utilization even in the circumstance of multi-channel streams. In addition, each service can be guaranteed within a deadline.

• 한국환경생태학회지
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• 제26권6호
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• pp.970-979
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• 2012

본 연구는 생물학적 보전지수(IBI, Index of Biotic Integrity) 평가와 이화학적 수질 분석, 물리적 서식지 평가(QHEI, Qualitative habitate evaluation index)를 이용하여 하천 건강성을 평가하고자 남천의 10개 지점을 대상으로 2006년 8월과 2006년 11월, 2007년 2월, 2007년 4월까지 총 4회에 걸쳐 부착규조 조사를 실시하였다. IBI, QHEI값을 산정하기 위하여 USEPA(1999) 가 제시한 항목 중 우리나라의 환경적 특성에 맞게 수정 보안하여 사용하여 평가하였다. 남천의 하천 생태 건강도 평가 결과, IBI 등급은 '보통', QHEI등급은 '열악', BOD값에 의거한 이화학적 수질등급은 II등급 기준인 '약간좋음'으로 나타나 총체적인 하천생태계 건강도는 '보통'상태로 나타났다. 이는 수 환경에 대한 교란은 적고 생물들이 서식하기에 비교적 양호한 수질임을 시사한다. 정점별로는 St. 6과 St. 7, St. 8, St. 9는 물리적 서식지 지수가 가장 '열악'한 상태로 대부분이 하천의 흐름을 방해하는 교각이나 인공보가 곳곳에 설치되어 있으며, 하상구조가 대부분 단순화되어 있어 수생태계 심각한 교란이 예상되는 정점이다. 또한 St. 10은 전체적으로 서식 환경은 좋으나 생활하수 유입과 함께 하수종말처리장으로부터 배출되는 영양염으로 인한 수생태계의 교란을 초래할 것으로 예상되므로 추후 영양염 유입에 대한 관리가 필요한 것으로 판단된다.

• Fisheries and Aquatic Sciences
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• 제13권2호
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• pp.167-181
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• 2010

To predict changes in the marine environment of the Beolgyo Stream Estuary in Jeonnam Province, South Korea, where cohesive tidal flats cover a broad area and a large bridge is under construction, this study conducted numerical simulations involving tidal flow and cohesive sediment transport. A wetting and drying (WAD) technique for tidal flats from the Princeton Ocean Model (POM) was applied to a large-scale-grid hydrodynamic module capable of evaluating the flow resistance of structures. Derivation of the eddy viscosity coefficient for wakes created by structures was accomplished through the explicit use of shear velocity and Chezy's average velocity. Furthermore, various field observations, including of tide, tidal flow, suspended sediment concentrations, bottom sediments, and water depth, were performed to verify the model and obtain input data for it. In particular, geologic parameters related to the evaluation of settling velocity and critical shear stresses for erosion and deposition were observed, and numerical tests for the representation of suspended sediment concentrations were performed to determine proper values for the empirical coefficients in the sediment transport module. According to the simulation results, the velocity variation was particularly prominent around the piers in the tidal channel. Erosion occurred mainly along the tidal channels near the piers, where bridge structures reduced the flow cross section, creating strong flow. In contrast, in the rear area of the structure, where the flow was relatively weak due to the formation of eddies, deposition and moderated erosion were predicted. In estuaries and coastal waters, changes in the flow environment caused by artificial structures can produce changes in the sedimentary environment, which in turn can affect the local marine ecosystem. The numerical model proposed in this study will enable systematic prediction of changes to flow and sedimentary environments caused by the construction of artificial structures.

• 한국지형학회지
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• 제27권1호
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• pp.1-19
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• 2020

A river bed which is submerged in water at high flow and becomes part of the river at low flow, serves as a bridge between the river and the land. The channel bar creates a unique ecosystem with vegetation adapted to the particular environment and the water pool forms a wetland that plays a very important role in the environment. To evaluate anthropogenic impacts on the river bed in the Middle Yeongsangang River, the fluvial landforms in the stream channel were analyzed using multi-temporal remotely-sensed images. In the aerial photograph of 2005 taken before the construction of the large weirs, oxbow lakes, mid-channel bars, point bars, and natural wetlands between the artificial levees were identified. Multiple bars divided the flow of stream water to cause the braided pattern in a particular section. After the construction of the Seungchon weir, aerial photographs of 2013 and 2015 revealed that most of the fluvial landforms disappeared due to the dredging of its riverbed and water level control(maintenance at 7.5El.m). Sentinel-2 images were analyzed to identify differences between before and after the opening of weir gate. Change detection was performed with the near infrared and shortwave infrared spectral bands to effectively distinguish water surfaces from land. As a result, water surface area of the main stream of the Yeongsangang River decreased by 40% from 1.144km² to 0.692km². A large mid-channel bar that has been deposited upstream of the weir was exposed during low water levels, which shows the obvious influence of weir on the river bed. Newly formed unvegetated point bars that were deposited on the inside of a meander bend were identified from the remotely sensed images. As the maintenance period of the weir gate opening was extended, various habitats were created by creating pools and riffles around the channel bars. Considering the ecological and hydrological functions of the river bed, it is expected that the increase in bar areas through weir gate opening will reduce the artificial interference effect of the weir.

• 한국지반공학회논문집
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• 제40권1호
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• pp.39-46
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• 2024

전 지구적 기후변화에 따른 용수확보 방안으로 인공함양 기법이 활용되고 있다. 함양률을 감소시키는 클로깅 문제는 인공함양 기법의 활용에 큰 장애가 되고 있다. 이 연구는 하천수 주입 과정에서 발생할 가능성이 있는 클로깅 평가를 위한 기초자료를 확보하기 위해 인공함양 예정 지역 충적층의 토양 조직과 광물 특성을 분석하였다. 충적층 쇄설성 입자의 주요 구성 광물은 석영, 정장석, 사장석, 흑운모 등이며, 공극을 충진하는 주요 2차 광물은 일라이트, 카오린나이트, Fe-산화광물이다. 2차 광물로서 탄산염 혹은 황산염 광물의 산출이 없는 것은 인공함양 실험 전인 연구 지역 충적층에서는 지하수와 지표수 간의 반응에 의한 화학적 클로깅은 발생하지 않았음을 시사한다. 인공함양 실험과 관련된 화학적 클로깅에 대한 평가를 위해 대수층 내 공극에서 2차 광물의 생성과 성장과 같은 충적층의 토양특성에 대한 모니터링이 필요하다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2006년도 학술발표회 논문집
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• pp.51-56
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• 2006

Biases embedded in numerical weather precipitation forecasts by the RDAPS model was determined, quantified and corrected. The ultimate objective is to eventually enhance the reliability of reservoir operation by Korean Water Resources Corporation (KOWACO), which is based on precipitation-driven forecasts of stream flow. Statistical post-processing, so called MOS (Model Output Statistics) was applied to RDAPS to improve their performance. The Artificial Neural Nwetwork (ANN) model was applied for 4 cases of 'Probability of Precipitation (PoP) for wet and dry season' and 'Quantitative Precipitation Forecasts (QPF) for wet and dry season'. The reduction on the large systematic bias was especially remarkable. The performance of both networks may be improved by retraining, probably every month. In addition, it is expected that performance of the networks will improve once atmospheric profile data are incorporated in the analysis. The key to the optimal performance of ANN is to have a large data set relevant to the predictand variable. The more complex the process to be modeled by the ANN, the larger the data set needs to be.

• 한국지진공학회:학술대회논문집
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• 한국지진공학회 2003년도 춘계 학술발표회논문집
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• pp.12-15
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• 2003

Korea Institute of Geoscience and Mineral Resources(KIGAM) is operating Wonju Korea Seismic Research Station(KSRS), 29 regional seismic research stations and 5 Korea-China joint seismic stations in China. Also KIGAM is operating Korea Earthquake Monitoring System (KEMS) to archive the real-time data stream and to determine event parameters (epicenter, origin time, and magnitude) by the automatic processing and analyst review. To do this, KEMS used KIGAM's regional seismic network and other institute's network in a near real-time base. From Dec. 1, 2001 to Nov. 30, 2002, 3,827 seismic events were analyzed in a automatic processing procedure and finally 3,437 events were analyzed by analyst and archived. But problem is this event catalog includes not only natural earthquake, but also artificial events produced by the blast. More than 80 % events were concentrated in daytime and many events were concentrated in the confirmed blast sites, Pyeongyang, Pocheon, Yeongjong-do, Donghae city, etc. Because these artificial events are a major potential cause of error when estimating the seismicity of a specific region, discrimination procedure has to be developed in the first place.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2022년도 추계학술대회
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• pp.457-458
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• 2022

하천의 용존 산소량은 어류의 생존과 관계되는 중요한 수질 정보중 하나이다. 안양천에서 수집된 수질 정보 및 기상 정보를 이용하여 artificial neural network - XGBoost (ANN-XGB)를 훈련하였으며, 12시간 이후의 DO를 예측할 수 있다. 본 발표에서는 ANN-XGB의 performance를 보고한다.