• Journal of The Korean Digital Architecture Interior Association
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• v.2 no.1
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• pp.16-23
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• 2002

The Subject of this research is building integrated library to supported to CAAD of the A.E.C field that is oriented to the environment of integrated design. In this research, we design and implement a new library model as a solution of design-data sharing and multi-displaying that is on the rise among many problems in construction integration. We name this integrated library ACO(Actual Component Object) and using the ACO, we can share data without loss in the fields such as construction, estimation, structure. Together with this, the different expressions along each field provide the solution of sharing both graphic data and non-graphic data. This ACO is a newly conceptualized Library that is able to supply a composite structure to an architect(designer) through the internet-based ACO System. To the ACO System that supplies those ACO service, we introduce the concept of DBMS in design and design administrator, and we investigate the solutions that enable an architect to use this ACO directly on the Web.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.709-712
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• 2004

The development of a basin-wide runoff analysis model is to analysis monthly and daily hydrologic runoff components including surface runoff, subsurface runoff, return flow, etc. at key operation station in the targeted basin. h short-term water demand forecasting technology will be developed fatting into account the patterns of municipal, industrial and agricultural water uses. For the development and utilization of runoff analysis model, relevant basin information including historical precipitation and river water stage data, geophysical basin characteristics, and water intake and consumptions needs to be collected and stored into the hydrologic database of Integrated Real-time Water Information System. The well-known SSARR model was selected for the basis of continuous daily runoff model for forecasting short and long-term natural flows.

• Proceedings of the Korea Society for Simulation Conference
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• 2000.11a
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• pp.34-40
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• 2000

통합 생산시스템의 성능평가문제는 많은 요소들이 고려되어야하며 수리모델을 위하여 많은 가정사항들이 주어진다. 실제 제생산시스템의 운영환경을 고려한 성능평가를 위하여 Simulation Model들이 많이 연구되어 오고있으나, 실제 활용의 용이성 및 관련 data 및 출력의 이해가 실무자들에게는 매우 어려운 문제로 남아 있다 본 연구에서는 사용자의 요구 수준과 System의 환경 여건에 따른 각종 Simulation Model들을 비교 조사 연구하여 수요자의 요구와 System의 특성에 적절한 방법을 활용할 수 있도록 하였다. 본 연구에 다음과 같은 Simulation Model들을 비교 연구하였다 : 1) CAN-WIP Model, 2) RAM-Cost Model, 3) FACTOR/AIM 응용, 및 4) AutoMod의 응용, 본 연구에 고려된 Simulation Model들의 관련 응용 Program을 개발하고 Sample 예제를 통하여 결과를 비교 분석하였다.

• Atmosphere
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• v.30 no.2
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• pp.103-113
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• 2020

In this study, we analyzed and developed the monitoring system in order to confirm the effect of observations on forecast sensitivity on ensemble-based data assimilation. For this purpose, we developed the Ensemble Forecast Sensitivity to observation (EFSO) monitoring system based on Local Ensemble Transform Kalman Filter (LETKF) system coupled with Korean Integrated Model (KIM). We calculated 24 h error variance of each of observations and then classified as beneficial or detrimental effects. In details, the relative rankings were according to their magnitude and analyzed the forecast sensitivity by region for north, south hemisphere and tropics. We performed cycle experiment in order to confirm the EFSO result whether reliable or not. According to the evaluation of the EFSO monitoring, GPSRO was classified as detrimental observation during the specified period and reanalyzed by data-denial experiment. Data-denial experiment means that we detect detrimental observation using the EFSO and then repeat the analysis and forecast without using the detrimental observations. The accuracy of forecast in the denial of detrimental GPSRO observation is better than that in the default experiment using all of the GPSRO observation. It means that forecast skill score can be improved by not assimilating observation classified as detrimental one by the EFSO monitoring system.

• Journal of KIBIM
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• v.9 no.1
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• pp.22-31
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• 2019

In this paper, we construct a prototype model for city data prediction by using time series data of floating population, and use machine learning to analyze urban data of complex structure. A correlation prediction model was constructed using three of the 10 data (total flow population, male flow population, and Monday flow population), and the result was compared with the actual data. The results of the accuracy were evaluated. The results of this study show that the predicted model of the floating population predicts the correlation between the predicted floating population and the current state of commerce. It is expected that it will help efficient and objective design in the planning stages of architecture, landscape, and urban areas such as tree environment design and layout of trails. Also, it is expected that the dynamic population prediction using multivariate time series data and collected location data will be able to perform integrated simulation with time series data of various fields.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.29A no.11
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• pp.25-39
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• 1992

Due to the data processing development by the computer, the early warning system recently has made a remarkable evolution in its functions and performance as a component of the communication and control system which is also supported by the computer communication and intelligence system. In this paper it is presented that a integrated data processing system is designed to integrate the information sent from the various radar systems which constitute an early warning system. The suggested system model of this paper is devided into two types of structures, the centralized model and the distributed model, according to the data processing algorithm. We apply the queueing theory to analyse the performance of the designed models and the OPNET system kernel to make the analysing program with C language. From the analysis of the queueing components by applying the analysis programs to the designed systems, we got the tendancies and characteristics of both models, that is, a fast data processing performance of the distributed model and a stable data processing capability of the centralized model.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.280-283
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• 2015

Many construction projects have used the building information modeling (BIM) extensively considering data interoperability throughout the projects' lifecycles. However, the current approach, which is to collect the data required to support facility maintenance system (FMS) has a significant shortcoming in that there are various individual pieces of information to represent the performance of the facility and the condition of each of the elements of the facility. Since a heterogeneous external database could be used to manage a construction project, all of the conditions related to the building cannot be included in an integrated BIM-based building model for data exchange. In this paper, we proposed an ontology-based facility maintenance information model to integrate multiple, related pieces of information on the construction project using industry foundation classesbased (IFC-based) BIM data. The proposed process will enable the engineers who are responsible for facility management to use a BIM-based model directly in the FMS-based work process without having to do additional data input. The proposed process can help ensure that the management of FMS information is more accurate and reliable.

• 한국신재생에너지학회:학술대회논문집
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• 2011.05a
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• pp.156.1-156.1
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• 2011

It is of great importance to predict operating parameter characteristics of an integrated fuel processor by the increased life-time and system performance. In this study, computational analysis is performed to gain fundamental insights on transport phenomena and chemical reactions in reformer which consists of preheating, steam reforming, and water gas shift reaction beds. Also, a top-fired burner locates inside of the reforming system. The combustor is providing thermal energy necessary for the steam reforming bed which is a endothermic catalytic reactor. Two-dimensional numerical model of the integrated fuel processing system is introduced for the analysis of heat and mass transport phenomena as well as surface kinetics and catalytic process. A kinetic model was developed and then computational results were compared with the experimental data available in the literature. Subsequently, parameter study using the validated steam methane reforming model was conducted by considering operating parameters, i.e. steam to carbon ratio and temperature.

• Journal of the Korean Society for Railway
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• v.10 no.4
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• pp.438-443
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• 2007

This paper proposes an integrated SE process for the development of railway systems with safety assessment included. Although the safety assessment process must be performed with SE process properly with good coordination, the interfaces between the two processes have not been clear. Thus, in many of safety critical system developments in Korea, it is difficult to assess safety in proper development phase. The process model proposed in this paper is based on both the concept of system life cycle and the repetitive use of SE process. In each of development phases, appropriate safety assessment methods are described. Also the evaluation of the integrated system incorporating safety factors is described. The resultant process model is expressed by the Enhanced Functional Flow Block Diagram (EFFBD) using a CASE tool. The model also allows timeline analysis for identifying activity flow and data flow, resulting in the effective management of process. In conclusion, the integrated process enable both the SE process and safety assessment process to cooperate with each other from early development phase throughout the whole system life cycle.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.53
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• pp.233-264
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• 2012

This study proposes and verifies an integrated model that reflects and helps to explain complexities and comprehensiveness of e-Trade in practice. The primary objective was to widen and deepen our understanding about the phenomena of paperless trading which will enable us to formulate an effective means to promote the adoption and utilization of e-Trade infrastructure. This investigation combined and extended the theories and models of TAM, TOE framework, and TTF in order to identify and hypothesize the causal relationships between factors of technology, organization and environment, and the usage level and performance of e-Trade. The previous research on e-Trade was reviewed and incorporated into the extended model. The integrated model was tested based on the survey data collected from a sample of 417 trading firms. Overall, the regression and path analysis demonstrated the usefulness of the proposed model as a conceptual framework for better understanding and explanation of e-Trade. The result of the analysis implies the relevancy of the factors of technology, organization and environment for facilitating usage of and increasing performance of e-Trade. However, rejection of a few hypothesized relationships implies the necessity of extensive promotion and education about the related laws and regulations, and education, supervision and incentives for e-Trade practitioners.