• 대한교통학회지
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• 제30권3호
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• pp.57-70
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• 2012

최근 고속도로에서 운전자가 교통운영 및 안전상 적정한 속도로 운행할 수 있도록 기상, 교통사고, 혼잡 등에 효과적으로 대응할 수 있는 교통류 관리전략에 대한 필요성이 증가하고 있다. 새로운 교통시스템을 적용하기에 앞서 해당 시스템의 효과를 극대화할 수 있는 운영구간을 결정하는 기준에 대한 연구가 선행되어야 하며, 교통사고자료를 활용한 통합적인 분석을 통하여 운영구간 우선순위 결정 기준을 마련할 수 있다. 본 연구에서는 향후 국내 가변제한속도 도입 시 교통안전을 고려하여 우선적으로 설치해야할 운영구간을 선정하기 위한 방법론을 제시하였다. 순서형 프로빗 모형을 이용한 분석결과, 교통안전을 고려한 가변제한속도 운영구간 우선순위는 교량 및 터널구간, 내리막구간, 승합차 또는 화물차의 비율이 높은 구간, 야간시, 이상기후시 차량의 평균속도가 높은 구간, 차량간 속도분산이 높게 나타나는 구간 순으로 나타났다. 본 연구의 결과는 기상대응을 목적으로한 국내 가변제한속도 시스템 도입시 운영구간 우선순위 도출에 효과적으로 활용할 수 있다.

• 한국물환경학회지
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• 제29권5호
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• pp.681-690
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• 2013

Watershed models have been increasingly used to support an integrated management of land and water, non-point source pollutants, and implement total daily maximum load policy. However, these models demand a great amount of input data, process parameters, a proper calibration, and sometimes result in significant uncertainty in the simulation results. For this reason, uncertainty analysis is necessary to minimize the risk in the use of the models for an important decision making. The objectives of this study were to evaluate three different uncertainty analysis algorithms (SUFI-2: Sequential Uncertainty Fitting-Ver.2, GLUE: Generalized Likelihood Uncertainty Estimation, ParaSol: Parameter Solution) that used to analyze the sensitivity of the SWAT(Soil and Water Assessment Tool) parameters and auto-calibration in a watershed, evaluate the uncertainties on the simulations of runoff and sediment load, and suggest alternatives to reduce the uncertainty. The results confirmed that the parameters which are most sensitive to runoff and sediment simulations were consistent in three algorithms although the order of importance is slightly different. In addition, there was no significant difference in the performance of auto-calibration results for runoff simulations. On the other hand, sediment calibration results showed less modeling efficiency compared to runoff simulations, which is probably due to the lack of measurement data. It is obvious that the parameter uncertainty in the sediment simulation is much grater than that in the runoff simulation. To decrease the uncertainty of SWAT simulations, it is recommended to estimate feasible ranges of model parameters, and obtain sufficient and reliable measurement data for the study site.

• 농촌계획
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• 제13권1호
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• pp.73-84
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• 2007

The first theme of this study is to preserve and manage rural multi-functionality resource Information. This study is to suggest the method that can irradiate rural multi-functionality resource Information efficiently and constructively. GIS uses PDA and Tablet PC as an investigation tool and verifies the outcome of the development in the investigation system. This study enhanced the mobility function of PDA by installing recording system and camera to the PDA. Also, Using GPS has been ensured scientific precision and realism to the investigation. Direct input on spot can save time, cost and minimize human error by simplifying the investigation process. Database is composed of characters like scale, form, location, distance, resident's opinion and image of 37 resources. The survey system was applied in 170 villages and got a total of 12,270 resources data. Management system should be easy to input and output the surveyed information and to get reports in any kind of form ( i.e. final result can be produced as a map). By utilizing of the Rural Resource information system, the study made a simulation to compare the target areas before and after. Also, digitalized investigation system, minimized re-input and reprocessing of data and enabled to simplify and standardize the process than memorandum investigation. Data collected through digital system could offer people useful information by Web-GIS. It was need to specify practical way in decision-making and a way to measure the value of resources to align with the regional plan. Also, need to keep on developing statistical data and application program that can connect us to present the best solution to support regional planning. Therefore, quality of data is very important. Finally, it is very important to develop various programs to analyze space md rural resource by monitoring rural environment.

• 한국콘텐츠학회논문지
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• 제11권5호
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• pp.104-116
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• 2011

추천시스템은 정보기술의 발달에 따른 정보의 홍수 속에서 사용자의 요구 사항과 선호를 바탕으로 사용자와 공급자 양측의 이익을 위해 사용자가 합당한 제품을 선택하기 위한 개인화된 의사결정 지원수단이라고 할 수 있다. 지금까지의 추천시스템에 관한 연구가 주로 공급자의 입장에서 추천시스템의 개선에 관한 연구들이거나 추천시스템 평가에 관한 연구가 대부분이어서 본 논문에서는 수요자의 입장에서 개인감정과 상황이 음악추천시스템의 수용성에 미치는 영향을 분석하기 위해 수정된 TAM을 기반으로 하여 관련 선행연구를 통해 검증된 변수를 기반으로 도출된 잠재변수와 측정치를 바탕으로 연구모형을 설정하고 이를 측정하기 위해 설문조사를 실시하여 다층구조 (High-Order Construct) 구조방정식모형을 통해 이를 분석하였다. 연구결과 개인감정 중에서 내적흥미와 즐거움은 유의한 영향을 미치는 것으로 나타났지만 자기효능감은 유의한 영향을 미치지 못하는 것으로 나타났고 개인상황에 있어서는 사회적영향과 시간적합성은 유의한영향을 미치는 것으로 나타났지만 장소적합성은 유의한 영향을 미치지 못하는 것으로 나타났다.

• 한국실내디자인학회논문집
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• 제24권5호
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• pp.117-127
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• 2015

This paper depicts a case study of the BIM (Building Information Modeling)-enabled evaluation of design alternatives for an actual remodeling project in Yeongwol, Korea. The increase of urban population and income followed by the growth of economy has derived massive supply of grand scale housing project in Korea since 1970s. Consequently, building remodeling became one of the feasible resolutions for renovating such old housings in these days. This paper aims to introduce a technical approach to such remodeling projects based on BIM-enabled applications focusing on quantitative analysis of design alternatives. Among the technical issues of such building remodeling projects, this paper focuses on the BIM-enabled area analysis and comparison between design alternatives to support decision-making even in early phase of remodeling design process. BIM and its variety of applications have broadly influenced the domain of AEC-FM (Architecture, Engineering, Construction, and Facility Management) within the lifecycle of buildings. As one of the applications facilitated by BIM, the automated area calculation and scenario-based comparison between alternatives can play an important role in the early phase of remodeling project. We modeled three design alternatives (buildings) and three housing modules (units) based on the actual case in Yeongwol city, Korea using a BIM design authoring tool. Nine combinatorial BIM models were demonstrated for the BIM-enabled review process described in this paper. To determine the most optimal design scenario among nine alternatives, this paper demonstrates a result of the conducted spatial program review. The main subject includes specific spatial program issues on; 1) the number of unit spaces; and 2) area of individual/grouped and private/shared spaces.

• 한국지하수토양환경학회지:지하수토양환경
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• 제27권spc호
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• pp.64-74
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• 2022

The conceptual site model (CSM) is used as a key tool to support decision making in risk based management of contaminated sites. In this work, CSM was applied in Jeonju Industrial Complex where site investigation for groundwater contamination was conducted. Site background information including facility types, physical conditions, contaminants spill history, receptor exposure, and ecological information were collected and cross-checked with tabulated checklist necessary for CSM application. The CSM for contaminants migration utilized DNAPL transport model and narrative CSMs were constructed for source to receptor pathway, ecological exposure route, and contaminants fate and transport in the form of a diagram or flowchart. The component and uncertainty of preliminary CSM were reviewed using the data gap analysis while taking into account the purpose of the survey and the site management stage at the time of the survey. Through this approach, the potential utility of CSM was demonstrated in the site management process, such as assessing site conditions and planning follow-up survey work.

• 토지주택연구
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• 제13권2호
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• pp.125-139
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• 2022

건설기업이 경쟁력 있는 혁신기업으로 나가기 위해서는 원가 정보를 이용한 원가관리와 효율적인 프로세스 개선이 필요하다. 원가정보를 이용하여 장기적인 의사 결정을 지원하는 활동기준원가계산(ABC)은 기업의 경쟁력을 향상하는 도구이다. 본 연구는 전통기준원가계산(TBC)과 활동기준원가계산(ABC)을 비교·분석하여 성과급 지급의 적정성을 확인한다. 또한 ABC를 이용한 보상시스템이 직원의 만족도와 참여도에 미치는 영향 관계를 실증 분석한다. 연구 결과, 직원의 참여도에 대한 보상시스템의 영향력은 내재적 보상(𝛽=0.338)과 외재적 보상(𝛽=0.308)의 순서로 나타났다. 또한 보상시스템은 직원의 만족도에 긍정적인 (+) 효과를 보였으며, 영향력은 내재적 보상(𝛽=0.360)과 외재적 보상(𝛽=0.337)의 순서로 나타났다. 그리고 직원의 만족도(𝛽=0.225)는 참여도에 긍정적인 영향을 미쳤다. 직원의 만족도와 참여도를 높이기 위해서 외재적 보상과 내재적 보상으로 구성된 보상시스템의 구축이 필요하다는 사실을 확인할 수 있었다.

• 정보화정책
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• 제29권3호
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• pp.61-81
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• 2022

본 연구에서는 EA에서 제공하는 정보가 공공기관 정보화 사업수행 활동에 어떻게 영향을 주는지 살펴보았다. 분석 대상은 관세청 국가 관세망 및 관련 정보화 사업이며 설문 조사를 활용하였다. EA 정보 제공은 정보의 적절성, 충분성, 일관성으로 정의하고 사업수행 활동은 사업관리, 사업 참여, 의사소통, 요구사항 관리, 인력투입으로 정의하여 항목 간 상관분석을 통해 영향도를 제시하였다. EA에서 제공된 정보와 사업관리 툴의 활용도, 인력투입 적정성과는 유의미한 상관관계를 확인할 수 없었다. 담당 공무원은 제공된 정보가 충분하면 사업수행 중 의사 결정에 긍정적인 효과를 주고, 수행업체는 정보가 일관되게 제공된다면 사업에 필요한 자원을 효율적으로 활용할 수 있음을 확인하였다. 연구 결과는 정보화 사업의 성공적인 진행을 위해 사업이 가진 특성과 함께 발주처의 사업환경을 확인하고, 사업을 수행하는 주체별 핵심 역할에 집중하여 사업수행 전략을 수립하는 것이 사업의 성공에 중요하다는 것을 제시하였다.

• Nuclear Engineering and Technology
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• 제55권9호
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• pp.3423-3440
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• 2023

In this work, a multivariate time-series machine learning meta-model is developed to predict the transient response of a typical nuclear power plant (NPP) undergoing a steam generator tube rupture (SGTR). The model employs Recurrent Neural Networks (RNNs), including the Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and a hybrid CNN-LSTM model. To address the uncertainty inherent in such predictions, a Bayesian Neural Network (BNN) was implemented. The models were trained using a database generated by the Best Estimate Plus Uncertainty (BEPU) methodology; coupling the thermal hydraulics code, RELAP5/SCDAP/MOD3.4 to the statistical tool, DAKOTA, to predict the variation in system response under various operational and phenomenological uncertainties. The RNN models successfully captures the underlying characteristics of the data with reasonable accuracy, and the BNN-LSTM approach offers an additional layer of insight into the level of uncertainty associated with the predictions. The results demonstrate that LSTM outperforms GRU, while the hybrid CNN-LSTM model is computationally the most efficient. This study aims to gain a better understanding of the capabilities and limitations of machine learning models in the context of nuclear safety. By expanding the application of ML models to more severe accident scenarios, where operators are under extreme stress and prone to errors, ML models can provide valuable support and act as expert systems to assist in decision-making while minimizing the chances of human error.

• Earthquakes and Structures
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• 제22권5호
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• pp.503-515
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• 2022

This paper presents the development of seismic fragility curves for a precast reinforced concrete bridge instrumented with a structural health monitoring (SHM) system. The bridge is located near an active seismic fault in the Dominican Republic (DR) and provides the only access to several local communities in the aftermath of a potential damaging earthquake; moreover, the sample bridge was designed with outdated building codes and uses structural detailing not adequate for structures in seismic regions. The bridge was instrumented with an SHM system to extract information about its state of structural integrity and estimate its seismic performance. The data obtained from the SHM system is integrated with structural models to develop a set of fragility curves to be used as a quantitative measure of the expected damage; the fragility curves provide an estimate of the probability that the structure will exceed different damage limit states as a function of an earthquake intensity measure. To obtain the fragility curves a digital twin of the bridge is developed combining a computational finite element model and the information extracted from the SHM system. The digital twin is used as a response prediction tool that minimizes modeling uncertainty, significantly improving the predicting capability of the model and the accuracy of the fragility curves. The digital twin was used to perform a nonlinear incremental dynamic analysis (IDA) with selected ground motions that are consistent with the seismic fault and site characteristics. The fragility curves show that for the maximum expected acceleration (with a 2% probability of exceedance in 50 years) the structure has a 62% probability of undergoing extensive damage. This is the first study presenting fragility curves for civil infrastructure in the DR and the proposed methodology can be extended to other structures to support disaster mitigation and post-disaster decision-making strategies.