• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2020년도 학술발표회
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• pp.172-172
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• 2020

In recent years, soil erosion has come to be regarded as an essential environmental problem in human life. Soil erosion causes various on- and off-site problems such as ecosystem destruction, decreased agricultural productivity, increased riverbed deposition, and deterioration of water quality in streams. To solve these problems caused by soil erosion, it is necessary to quantify where, when, how much soil erosion occurs. Empirical erosion models such as the Universal Soil Loss Equation (USLE) family models have been widely used to make spatially distributed soil erosion vulnerability maps. Even if the models detect vulnerable sites relatively well by utilizing big data related to climate, geography, geology, land use, etc. within study domains, they do not adequately describe the physical process of soil erosion on the ground surface caused by rainfall or overland flow. In other words, such models remain powerful tools to distinguish erosion-prone areas at the macro scale but physics-based models are necessary to better analyze soil erosion and deposition and eroded particle transport. In this study, the physics-based Surface Soil Erosion Model (SSEM) was upgraded based on field survey information to produce sediment yield at the watershed scale. The modified model (hereafter MoSE) adopted new algorithms on rainfall kinematic energy and surface flow transport capacity to simulate soil erosion more reliably. For model validation, we applied the model to the Doam dam watershed in Gangwon-do and compared the simulation results with the USLE outputs. The results showed that the revised physics-based soil erosion model provided more improved and reliable simulation results than the USLE in terms of the spatial distribution of soil erosion and deposition.

• 한국정보과학회논문지:정보통신
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• 제37권3호
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• pp.167-174
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• 2010

최근에 비 구조적 피어투피어 시스템을 위해 분산적으로 재결정위상을 구성하는 위상 제어 프로토콜이 제안되었다[1]. 본 논문에서는 재결정위상이라고 불리는 이러한 계층적 위상이 척도 없는 거듭제곱 법칙 망임을 보인다. 우리는 재결정 위상의 분산된 구성을 위한 알고리즘의 프로세스를 모형화 하고, 평균 장 점근법(Mean field Approximation)과 연속체 이론(Continuum theory)에 근거를 두고 분석하여, 구성된 재결정 망이 척도 없는 망임을 보였다. 위상제어 알고리즘을 따르는 각 노드는 더 선호하는 노드에 대한 연결을 추가하고, 가장 비선호하는 노드에 대한 연결을 제거한다. 다시 말해, 알고리즘에 따라, 각 피어는 자신이 알고 있는 피어들 중에서 최고의 적중률(또는 검색 능력 혹은 선호도)을 가지고 있는 노드들과 연결을 추가하고, 최저의 적중률을 가진 노드들과의 연결을 끊는다. 이것은 비구조적 피어투피어 망에서 재결정 위상을 구성하기 위한 지역적인 프로세스를 실제적으로 표현한다. 우리는 차수의 분포를 분석적으로 유도한다. 분석 결과, 만들어지는 재결정 위상은 척도 없는 망이며, 이것의 거듭제곱 법칙의 지수$\gamma$는 3 이다.

• Journal of Biosystems Engineering
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• 제33권5호
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• pp.362-369
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• 2008

There is developing interest in precision agriculture in Korea, despite the fact that typical Korean fields are less than 1 ha in size. Describing within-field variability in typical Korean production settings is a fundamental first step toward determining the size of management zones and the inter-relationships between limiting factors, for establishment of site-specific management strategies. Measurements of rice (Oriza Sativa L) yield, chlorophyll content, and soil properties were obtained in a small (100-m by 30-m) Korean rice paddy field. Yield data were manually collected on 10-m by 5-m grids (180 samples with 3 samples in each of 60 grid cells) and chlorophyll content was measured using a Minolta SPAD 502 in 2-m by 2-m grids. Soil samples were collected at 275 points to compare results from sampling at different scales. Ten soil properties important for rice production in Korea were determined through laboratory analyses. Variogram analysis and point kriging with and without median polishing were conducted to determine the variability of the measured parameters. Influence of variogram model selection and other parameters on the interpretation of the data was investigated. For many of the data, maximum values were greater than double the minimum values, indicating considerable spatial variability in the small paddy field, and large-scale spatial trends were present. When variograms were fit to the original data, the limits of spatial dependency for rice yield and SP AD reading were 11.5 m and 6.5 m, respectively, and after detrending the limits were reduced to 7.4 m and 3.9 m. The range of spatial dependency for soil properties was variable, with several having ranges as short as 2 m and others having ranges greater than 30 m. Kriged maps of the variables clearly showed the presence of both large-scale (trend) variability and small-scale variability in this small field where it would be reasonable to expect uniformity. These findings indicate the potential for applying the principles and technology of precision agriculture for Korean paddy fields. Additional research is needed to confirm the results with data from other fields and crops.d similar tendency with the result for the frequency less than 20 Hz, but the width of change was reduced highly.

• Wind and Structures
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• 제16권4호
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• pp.301-322
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• 2013

Recent major post-hurricane damage assessments in the United States have reported that the most common damages result from the loss of building roof coverings and subsequent wind driven rain intrusion. In an effort to look further into this problem, this paper presents a full-scale (Wall of Wind --WoW--) investigation of external and underneath wind pressures on roof tiles installed on a low-rise building model with various gable roofs. The optimal dimensions for the low-rise building that was tested with the WOW are 2.74 m (9 ft) long, 2.13 m (7 ft) wide, and 2.13 m (7 ft) high. The building is tested with interchangeable gable roofs at three different slopes (2:12; 5:12 and 7:12). The field tiles of these gable roofs are considered with three different tile profiles namely high (HP), medium (MP), and low profiles (LP) in accordance with Florida practice. For the ridge, two different types namely rounded and three-sided tiles were considered. The effect of weather block on the "underneath" pressure that develops between the tiles and the roof deck was also examined. These tests revealed the following: high pressure coefficients for the ridge tile compared to the field tiles, including those located at the corners; considerably higher pressure on the gable end ridge tiles compared to ridge tiles at the middle of the ridge line; and marginally higher pressure on barrel type tiles compared to the three-sided ridge tiles. The weather blocking of clay tiles, while useful in preventing water intrusion, it doesn't have significant effect on the wind loads of the field tiles. The case with weather blocking produces positive mean underneath pressure on the field tiles on the windward side thus reducing the net pressures on the windward surface of the roof. On the leeward side, reductions in net pressure to a non-significant level were observed due to the opposite direction of the internal and external pressures. The effect of the weather blocking on the external pressure on the ridge tile was negligible.

• 한국해양공학회지
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• 제35권1호
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• pp.75-81
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• 2021

Artificial Coral Reefs (ACRs) have been introduced to help solve coastal erosion problems, but their feasibility has not been assessed with field data. This study conducted a feasibility analysis of ACRs on their erosion mitigation effects by performing a case study of Cheonjin-Bongpo beach, South Korea. A numerical-physical combined analysis was carried out using a SWAN model simulation and physical model test with a scale of 1/25 based on field observations of Cheonjin-Bongpo beach. Both Dean's parameter and the surf-scaling parameter were applied to comparative analysis between the absence and presence conditions of the ACR. The results for this combined method indicate that ACR attenuates the wave height significantly (59~71%). Furthermore, ACR helps decrease the mass flux (~50%), undertow (~80%), and maximum wave set up (~61%). The decreases in Dean's parameter (~66%) and the surf-scaling parameter suggest that the wave properties changed from the dissipative type to the reflective type even under high wave conditions. Consequently, an ACR can enhance shoreline stability.

• 벤처창업연구
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• 제18권6호
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• pp.41-55
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• 2023

스타트업의 지속적인 경쟁력 확보를 위해 비즈니스 모델을 구성하는 여러 요소를 변형시켜 경쟁우위를 달성하는 비즈니스 모델 혁신은 중요한 과제이다. 본 연구는 전 세계 스마트팜 선도기업들을 대상으로 비즈니스 모델 이론에 입각한 분석 틀을 활용하여 다중사례 분석 연구를 실시함으로써 동일 산업에서 경쟁력 있는 비즈니스 모델 유형과 구성요소의 차별화를 확인하고자 하였다. 이를 위해 애그테크(AgTech) 전문 글로벌 투자 리서치 기업인 애그펀더(Agfunder)가 발표한 최근 3개년 연도별 Top 10 투자유치 스타트업 목록으로부터 도출된 19개 기업 사례를 분석 대상으로 하여 사례연구 프로토콜에 따른 자료수집과 분석을 실시하였다. 연구 결과, 비즈니스 모델 유형은 대규모 중앙집중식 생산 모델, 중대형 로컬분산방식 생산 모델, 소규모 하이퍼로컬 모듈식 FaaS 모델, 소규모 하이퍼로컬 턴키솔루션 공급모델, 이상 4개로 분석되었고, 각 유형별로 5가지 비즈니스 모델 구성요소에 따른 비교 분석을 실시하여 전략적 시사점을 도출하였다. 본 연구는 스마트팜 분야의 해외 선도기업 비즈니스 모델을 학문적 분석 틀을 이용해 규명함으로써 국내 스타트업의 경쟁력 제고와 전략 다변화에 기여할 것으로 기대한다.

• Smart Structures and Systems
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• 제21권5호
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• pp.591-600
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• 2018

The probabilistic characterization of wind field characteristics is a significant task for fatigue reliability assessment of long-span railway bridges in wind-prone regions. In consideration of the effect of wind direction, the stochastic properties of wind field should be represented by a bivariate statistical model of wind speed and direction. This paper presents the construction of the bivariate model of wind speed and direction at the site of a railway arch bridge by use of the long-term structural health monitoring (SHM) data. The wind characteristics are derived by analyzing the real-time wind monitoring data, such as the mean wind speed and direction, turbulence intensity, turbulence integral scale, and power spectral density. A sequential quadratic programming (SQP) algorithm-based finite mixture modeling method is proposed to formulate the joint distribution model of wind speed and direction. For the probability density function (PDF) of wind speed, a double-parameter Weibull distribution function is utilized, and a von Mises distribution function is applied to represent the PDF of wind direction. The SQP algorithm with multi-start points is used to estimate the parameters in the bivariate model, namely Weibull-von Mises mixture model. One-year wind monitoring data are selected to validate the effectiveness of the proposed modeling method. The optimal model is jointly evaluated by the Bayesian information criterion (BIC) and coefficient of determination, $R^2$. The obtained results indicate that the proposed SQP algorithm-based finite mixture modeling method can effectively establish the bivariate model of wind speed and direction. The established bivariate model of wind speed and direction will facilitate the wind-induced fatigue reliability assessment of long-span bridges.

• Korean Chemical Engineering Research
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• 제46권5호
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• pp.922-930
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• 2008

질소산화물($NO_x$) 저감을 위한 선택적 무촉매 환원(SNCR; selective non-catalytic reduction) 공정의 성능은 유속, 반응온도 그리고 반응물간의 혼합과 같은 공정변수에 민감하다. 따라서 효율적인 SNCR 공정의 설계와 운전을 위하여 속도장, 온도장, 및 화학물질들의 농도 분포에 대한 이해가 필수적이다. 본 연구에서는 150 kW LPG 버너가 장착되고, 요소용액을 환원제로 사용하는 파일럿 규모 SNCR 공정에 대하여 액적모델과 결합된 2차원 난류반응흐름 전산유체역학(CFD; computational fluid dynamics) 모델을 개발하고, 이 모델은 실험결과를 통하여 검증된다. 난류반응 CFD 모델에서는 $NO_x$저감율과 $NH_3$-slip을 예측하기 위하여 7개 반응식으로 이루어진 요소용액과 $NO_x$와의 반응기작을 이용한다. 이러한 모델을 이용한 CFD 모사결과는 온도와 NSR(normalized stoichiometric ratio)에 따른 $NO_x$ 저감율에서 실험결과와 최대 20% 이내에서 차이를 보여주고 있으며, $NH_3$-slip에 대하여는 실험결과와 모사결과 사이에 유사한 경향성을 얻었다.

• 한국지반공학회논문집
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• 제31권1호
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• pp.15-24
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• 2015

본 논문에서는 지반 시추시 공벽붕괴 방지를 위해 적용되는 시추 안정액(drilling fluid)의 다양한 배합설계에 따른 공벽붕괴 방지 효과에 대한 실험적 연구 결과를 다루었다. 이를 위해 먼저 벤토나이트 계열 안정액의 공벽 붕괴 방지 메카니즘을 검토하였으며 아울러 벤토나이트계 안정액의 배합(conditioning)에 따른 안정액의 성능지표 변화에 대한 실험결과를 간략히 기술하였다. 또한 지반시추(굴착) 및 안정액 투입을 간략히 모사하는 토조 장치를 구축하여 세립분이 20% 포함된 화강풍화토 및 모래지반을 대상으로 다양한 배합으로 조성된 벤토나이트계 안정액에 대한 실험을 수행하고 안정액 투입량, 수평 침투범위, 굴착가능 깊이 등을 측정하여 공벽붕괴 방지 효과를 고찰하였다. 그 결과 벤토나이트에 폴리머를 추가할 경우 안정액 투입량 및 수평 침투범위가 굴착가능 깊이가 증가하는 것으로 나타났으며 폴리머의 공벽유지 기능 향상 정도는 모래층보다 화강풍화토 지반에서 보다 뚜렷하게 발휘되는 것으로 검토되었다. 본 논문에서는 도출된 연구결과가 실무적 차원에서 지니는 의미에 대한 내용을 기술하였다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집E
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• pp.386-391
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• 2001

A finite element code based on P2P1 tetra element has been developed for the large eddy simulation (LES) of turbulent flows around a complex geometry. Fractional 4-step algorithm is employed to obtain time accurate solution since it is less expensive than the integrated formulation, in which the velocity and pressure fields are solved at the same time. Crank-Nicolson method is used for second order temporal discretization and Galerkin method is adopted for spatial discretization. For very high Reynolds number flows, which would require a formidable number of nodes to resolve the flow field, SUPG (Streamline Upwind Petrov-Galerkin) method is applied to the quadratic interpolation function for velocity variables, Noting that the calculation of intrinsic time scale is very complicated when using SUPG for quadratic tetra element of velocity variables, the present study uses a unique intrinsic time scale proposed by Codina et al. since it makes the present three-dimensional unstructured code much simpler in terms of implementing SUPG. In order to see the effect of numerical diffusion caused by using an upwind scheme (SUPG), those obtained from P2P1 Galerkin method and P2P1 Petrov-Galerkin approach are compared for the flow around a sphere at some Reynolds number. Smagorinsky model is adopted as subgrid scale models in the context of P2P1 finite element method. As a benchmark problem for code validation, turbulent flows around a sphere and a MIRA model have been studied at various Reynolds numbers.