• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.397-402
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• 2013

In super-tall building construction projects, schedule risk factors which vertically change and are not found in the low and middle-rise building construction influence duration of a project by vertical attribute; and it makes hard to estimate activity or overall duration of a construction project. However, the existing duration estimating methods, that are based on quantity and productivity assuming activities of the same work item have the same risk and duration regardless of operation space, are not able to consider the schedule risk factors which change by the altitude of operation space. Therefore, in order to advance accuracy of duration estimation of super-tall building projects, the degree of changes of these risk factors according to altitude should be analyzed and incorporated into a duration estimating method. This research proposes a simulation model using Monte Carlo method for estimating activity duration incorporating schedule risk factors by weather conditions in a super-tall building. The research process is as follows. Firstly, the schedule risk factors in super-tall building are identified through literature and expert reviews, and occurrence of non-working days at high altitude by weather condition is identified as one of the critical schedule risk factors. Secondly, a calculating method of the vertical distributions of the weather factors such as temperature and wind speed is analyzed through literature reviews. Then, a probability distribution of the weather factors is developed using the weather database of the past decade. Thirdly, a simulation model and algorithms for estimating non-working days and duration of each activity is developed using Monte-Carlo method. Finally, sensitivity analysis and a case study are carried out for the validation of the proposed model.

• 상하수도학회지
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• 제31권6호
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• pp.501-510
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• 2017

In this study, it is estimated that ceramic membrane process which can operate stably in harsh conditions replacing existing organic membrane connected with coagulation, sedimentation etc.. Jar-test was conducted by using artificial raw water containing kaolin and humic acid. It was observed that coagulant (A-PAC, 10.6%) 4mg/l is the optimal dose. As a results of evaluation of membrane single filtration process (A), coagulation-membrane filtration process (B) and coagulation-sedimentation-membrane filtration process (C), TMP variation is stable regardless of in Flux $2m^3/m^2{\cdot}day$. But in Flux $5m^3/m^2{\cdot}day$, it show change of 1-89.3 kpa by process. TMP of process (B) and (C) is increased 11.8, 0.6 kpa each. But, the (A) showed the greatest change of TMP. When evaluate (A) and (C) in Flux $10m^3/m^2{\cdot}day$, TMP of (A) stopped operation being exceeded 120 kpa in 20 minutes. On the other hand, TMP of (C) is increased only 3 kpa in 120 minutes. Through this, membrane filtration process can be operated stably by using the linkage between the pretreatment process and the ceramic membrane filtration process. Turbidity of treated water remained under 0.1 NTU regardless of flux condition and DOC and $UV_{254}$ showed a removal rate of 65-85%, 95% more each at process connected with pretreatment. Physical cleaning was carried out using water and air of 500kpa to show the recovery of pollutants formed on membrane surface by filtration. In (A) process, TMP has increased rapidly and decreased the recovery by physical cleaning as the flux rises. This means that contamination on membrane surface is irreversible fouling difficult to recover by using physical cleaning. Process (B) and (C) are observed high recovery rate of 60% more in high flux and especially recovery rate of process (B) is the highest at 95.8%. This can be judged that the coagulation flocs in the raw water formed cake layer with irreversible fouling and are favorable to physical cleaning. As a result of estimation, observe that ceramic membrane filtration connected with pretreatment improves efficiency of filtration and recovery rate of physical cleaning. And ceramic membrane which is possible to operate in the higher flux than organic membrane can be reduce the area of water purification facilities and secure a stable quantity of water by connecting the ceramic membrane with pretreatment process.

• 토지주택연구
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• 제2권4호
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• pp.415-427
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• 2011

본 연구는 LH의 다가구임대주택 철거 신축사업에 대비하여 노후주택에 대한 해체공사비를 합리적 근거에 의하여 예측하는 것을 목표로 한다. 이를 위하여 소형주택 해체공사 수행 현황과 작업 프로세스를 조사하고 공사비 견적전문가 면담을 통해 해체공사비 산정실태를 파악하였다. 아울러 공공건설공사의 '예정가격 산정기준'과 '건설폐기물 처리비 산정기준', 선행연구 및 문헌을 고찰하였다. 연구 결과의 하나로 표준품셈에 기초한 해체공사 원가계산체계와 내역체계 및 관련 일위대가를 제안하고, 이를 활용하여 지상 2~3층 규모의 다가구임대주택에 대한 해체공사 예정가격을 산출하였다. 산출 결과, 1개 동당 해체공사비는 18,331천원, 바닥면적($m^2$) 기준 104천원으로 예측되었는데, 세부적으로는 직접 철거비가 14,339천원/동, 폐기물 위탁처리비는 3,992천원/동 소요될 것으로 나타났다. 연구 결과는 노후 다가구임대주택 철거 신축사업의 예산수립 단계에서 사업비 추정을 위한 기본 자료로 활용될 뿐 아니라, 연구 제안한 해체공사 원가계산체계 및 내역체계는 공공 건설공사의 발주업무에 유용하게 활용되리라 기대한다.

• 한국수자원학회논문집
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• 제37권3호
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• pp.195-206
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• 2004

도시유역 하수처리장의 효율을 저감시키는 가장 큰 요인은 하수관내에 발생하는 불명수(Inflow /Infiltration, Ⅰ/Ⅰ)이다. 불명수 저감방안 수립을 위해서는 관로 개개 시설에 대한 조사를 통해 불명수 유입량을 산정해야 한다 그러나, 국내의 경우 재정적, 시간적 한계로 인해 표본조사 결과를 과업대상 전지역에 확대 적용하여 불명수 저감방안을 수 립하고 있다. 이러한 국내의 불명수 산정 방법은 사업대상 전지역의 불명수 총량에 따른 고려만 이루어질 뿐, 관로개개 시설에 대한 불명수 발생량의 고려가 이루어지지 않는 문제점을 나타낸다. 본 연구에서는 도시유역의 유출시스템에서의 불명수량 산정모형을 개발하여 관로 개개 시설에서의 불명수 발생량을 추정하여 불명수 저감방안 수립을 위한 기초자료로 활용하고자 한다. 전체 대상지역에 대한 관측 불명수량은 CCTV 및 육안조사를 통해 조사된 관거별 결함 상태에 따라 관거별로 분배된다. 이때, 결함 항목별 가중치는 AHP(Analytic Hierarchy Process) 기법을 통해 산정 하였으며, 발생 오차를 고려하기 위하여 MCS(Monte Carlo Simulation) 방법을 사용하여 불확실성 분석을 수행하였다.

• 토지주택연구
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• 제4권4호
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• pp.425-434
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• 2013

중소기업청은 일정규모 이상의 공공건설사업에 대해 일반공사와 의무적으로 분리하여 직접 구매해야 하는 123개 공사용자재 제품군을 지정하고, 법에서 정한 바에 따라 발주기관이 자재를 직접 구매하여 수급인에게 공급하도록 하고 있다. 본 연구에서는 이러한 공사용자재 직접구매제도 하에서 공공아파트 건설 현장에 투입되는 지급자재가 지니는 다양한 특성과 관리요인을 발주자 입장에서 종합적으로 고려하여, 주요관리대상 자재를 파악하고, 자재 조달 프로세스를 기반으로 이들에 대한 적정 관리 방안을 제시하였다. 즉, 조달경로, 현장특화정도, 입주자 요구수준, 업체 책임범위, 납품분할정도, 현장작업 요구도, 부속자재 필요도, 검수조건 등 지급자재가 가지는 주요 관리요인을 적용하여 공공아파트 건설사업에 적용되는 43개 직접 구매 대상품목의 조달관리부담을 평가한 결과, 상대적으로 높은 조달관리노력이 요구되는 주요관리대상그룹에는 목재창호, 알루미늄창호, 승강기, 목재마루재, 레미콘, 타일, 합성수지창호가 포함되었고, 그 중 알루미늄창호와 타일은 집중관리대상으로 분류되었다. 나아가 직접구매제도의 영향에 따른 집중관리대상 자재에 대한 대응방안은 발주자 입장에서 실태, 문제점, 관리측면의 주요 고려사항을 반영하여 작성하였으며, 실질적 수량 산출, 명확한 발주세부조건 정비, 생산 전후 활동 활성화, 하자보수 물량 확보, 공종별 간섭 사전 협의 및 해소 등이 필수적인 관리활동으로 나타났다.

• 한국물환경학회지
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• 제26권5호
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• pp.740-746
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• 2010

Rainwater has been used in many countries as a way of minimizing water availability problems. Rainwater harvesting system (RHS) has been successfully implemented as alternative water supply sources even in Korea. Although RHS is an effective alternative to water supply, its efficiency is often heavily influenced by temporal distribution of rainfall. Since natural precipitation is a random process and has probabilistic characteristics, it will be more appropriate to describe these probabilistic features of rainfall and its relationship with design storage capacity as well as supply deficit of RHS. This study presents the methodology to establish the relationships between storage capacities and deficit rates using probability distributions. In this study, the real three-story building was considered and nine scenaries were developed because the daily water usage pattern of the study one was not identified. GEV, Gumbel and the generalized logistic distribution ware selected according to the results of Kolmogorov-Smirnov test and Chi-Squared test. As a result, a set of curves describing the relationships under different exceedance probabilities were generated as references to RHS storage design. In case of the study building, the deficit rate becomes larger as return period increases and will not increase any more if the storage capacity becomes the appropriate quantity. The uncertainties between design storage and the deficit can be more understood through this study on the probabilistic relationships between storage capacities and deficit rates.

• 한국대기환경학회지
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• 제23권2호
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• pp.158-168
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• 2007

The cement industry is one of the energy intensive industries such as petrochemical and steel industry. The energy efficiency of cement industry is high comparing to oversea's cement industries due to the enforcement of energy conservation policies. The purpose of this study is estimate emission factors for greenhouse gas ($CO_{2}$) in cement industry. The results of field study, quicklime contained quantity of five factories were $0.64{\sim}0.65$. Measurement emission (15,382 ton/day) is 40% higher than process emission (8,929 ton/day) on the IPCC Guidelines (1996). Add to combustion emission on the lines of IPCC Guidelines (1996) is similar to the emission of this study. The emission factor of greenhouse gas ($CO_{2}$) were as follows the emission factor between $9.01E-01{\sim}2.15E-01\;ton/ton$ for $CO_{2}$. The result of this study is higher than emission factor of IPCC (0.51) but it is similar to U.S. EPA's (0.952).

• Environmental Engineering Research
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• 제15권2호
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• pp.123-126
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• 2010

Modeling non-point pollution across multiple scales has become an important environmental issue. As a more representative and practical approach in quantifying and qualifying surface water, a modular neural network (MNN) was implemented in this study. Two different site-scales ($1.5\;{\times}\;10^5$ and $1.62\;{\times}\;10^6\;m^2$) with the same plants, soils, and paddy field management practices, were selected. Hydrologic data (rainfall, irrigation and surface discharge) and water quality data (time-series nutrient loadings) were continuously monitored and then used for the verification of MNN performance. Correlation coefficients (R) for the results predicted from the networks versus measured values were within the range of 0.41 to 0.95. The small block could be extrapolated to the large field for the rainfall-surface drainage process. Nutrient prediction produced less favorable results due to the complex phenomena of nutrients in the drainage water. However, the feasibility of using MNN to generate improved prediction accuracy was demonstrated if more hydrologic and environmental data are provided. The study findings confirmed the estimation accuracy of the upscaling from a small-segment block to large-scale paddy field, thereby contributing to the establishment of water quality management for sustainable agriculture.

• 아시안잔디학회지
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• 제20권1호
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• pp.93-105
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• 2006

최근 많은 수의 골프장 건설로 인하여 국토의 상당면적이 원지형의 변화 또는 파괴되고 있으며 주변 생태계가 급속한 변이를 겪고 있다. 골프코스 건설을 위해서는 정밀하고 효율적인 설계를 요하지만 기존의 통상적 설계방식으로는 사업의 방대성으로 인한 설계자료의 처리에 한계를 가지고 있었다. 특히 공사 후의 경관 변화에 대한 예측이나 환경영향 저감대책에 대하여 적절한 대안을 제시할 적절한 수단이 없었다. 따라서 이러한 문제점을 해결하기 위하여 지형정보시스템(GIS)을 골프코스 설계에 적용하여 건설에 따른 물리적 영향을 최소화시킬 수 있는 친환경적인 골프코스 설계 기법개발에 대하여 연구하였다. 연구된 내용은 지형정보시스템을 기초자료입력 단계에서부터 최종 성과물 단계까지 적용시켜 전 설계과정을 전산화하며, 부수적으로 골프 경기의 기능적 효과 증대 토지이용의 적정성, 코스유지 관리의 용이성 등을 사전 검토할 수 있는 친환경적 전산설계기법을 개발 연구하였다.

• Journal of Biosystems Engineering
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• 제17권1호
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• pp.65-78
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• 1992

When using a computer vision system for a measurement, the geometrically distorted input image usually restricts the site and size of the measuring window. A geometrically distorted image caused by the image sensing and processing hardware degrades the accuracy of the visual measurement and prohibits the arbitrary selection of the measuring scope. Therefore, an image calibration is inevitable to improve the measuring accuracy. A calibration process is usually done via four steps such as measurement, modeling, parameter estimation, and compensation. In this paper, the efficient error calibration technique of a geometrically distorted input image was developed using a neural network. After calibrating a unit pixel, the distorted image was compensated by training CMLAN(Cerebellar Model Linear Associator Network) without modeling the behavior of any system element. The input/output training pairs for the network was obtained by processing the image of the devised sampled pattern. The generalization property of the network successfully compensates the distortion errors of the untrained arbitrary pixel points on the image space. The error convergence of the trained network with respect to the network control parameters were also presented. The compensated image through the network was then post processed using a simple DDA(Digital Differential Analyzer) to avoid the pixel disconnectivity. The compensation effect was verified using known sized geometric primitives. A way to extract directly a real scaled geometric quantity of the object from the 8-directional chain coding was also devised and coded. Since the developed calibration algorithm does not require any knowledge of modeling system elements and estimating parameters, it can be applied simply to any image processing system. Furthermore, it efficiently enhances the measurement accuracy and allows the arbitrary sizing and locating of the measuring window. The applied and developed algorithms were coded as a menu driven way using MS-C language Ver. 6.0, PC VISION PLUS library functions, and VGA graphic functions.