• Journal of Environmental Impact Assessment
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• 제22권5호
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• pp.537-546
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• 2013

In the Seoul Metropolitan Area(SMA) photochemical air pollutants, nitrogenic compound and particulate matters have increased substantially due to mobile sources, power plants and so on. Therefore 'Special Act on Seoul Metropolitan Air Quality Improvement' was enacted on 2003 in order to improve air quality in the SMA. According to the Special Act, Central and local government have developed the state implementation plan(SIP) to reduce air pollutant emissions from various local sources. One of the key elements of the SIP development is the air quality modeling since modeling results can be used to establish emissions control strategies as well as to demonstrate attainment of air quality goals for ozone, particulate matter, and so on. Air quality modeling, therefore, can be usefully utilized to investigate the effects of government's efforts according to control strategies or measures. Using the air quality model, we can determine whether the implementation plan should be revised or not. A number of questions, however, has been raised concerning accuracy, consistency and transparency of modeling results because if we do not trust modeling results, all the measures dependent on modeling becomes in vain. So, without dealing with these questions, we can not guarantee the reliability and utilizability of air quality modeling results. In this study, we tried to establish standard methodology for air quality modeling in order to ensure consistency and transparency of modeling results used in the development and evaluation of national air policy. For this purpose, we established air quality modeling guideline to provide or recommend modeling procedures, vertical and horizontal domains, input data of meteorological and air quality modeling and so on.

• The Journal of Society for e-Business Studies
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• 제12권2호
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• pp.249-267
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• 2007

A variety of BPM (Business Process Management) standards to achieve interoperability among heterogeneous systems have been released. Areas of BPM standards include business process modeling, process execution and management, and monitoring and controlling. The purpose of this research is to develop an adoption strategy and guideline for implementing BPM standards. We suggest a strategy for implementing BPMN (Business Process Modeling Notation), BPEL (Business Process Execution Language), and BPQL (Business Process Query Language) and provide a specific implementation guideline for developing BPM solutions using each standard. We expect that BPM vendors can establish their own strategy for adopting BPM standards and implement BPM solutions efficiently and effectively with the help of the strategy and guideline described in this paper.

• KIEAE Journal
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• 제15권6호
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• pp.69-80
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• 2015

Purpose: Since most simulation programs take the interface that lists up all the input variables representing all the functionalities, users must know where design variables of an Energy Conservation Measure (ECM) are located and also know what values are appropriate. This is why practitioner designers feel frustrated when they attempt to use simulation. The final objective of this study is to provide a building energy modeling guideline for practitioners in various fields such as architectural design and MEP. Method: As the first step of the modeling guideline, this study provides the Level of Detail (LOD) for simulation modeling of primary ECMs considering the design information available in each design phase. It is prepared by literature review, simulation functionality investigation, and field experts' survey. Result: The proposed simulation LOD offers a milestone at each design phases concerning what design variable and attributes need to be developed with how much of details in order to meet the project goal. Also each design team can set up a simulation usecase considering organizational characteristics based on the proposed LOD.

• Korean Journal of Computational Design and Engineering
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• 제13권5호
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• pp.352-361
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• 2008

Architectural design work depends on information made from earlier phases such as feasibility study, planning, and conceptual design. This design guideline information includes design objectives, requirements, and constraints made by decision-making, and has great influence on various works of latter phases of design process. Despite of this cognition, however, the lack of design guideline information management still remains as one among the critical issues in design area. Design tools with design guideline information do not also address the issue of interoperability throughout the life-cycle of buildings. The purpose of this research is to propose a method for design guideline information management by using the IFC technology and IFC Property set (Pset) extension mechanism. The method comprises defining and mapping the practically used design guideline items and extensible IFC data model, and includes the management of relationships that exist between design guideline information and design model in the IFC data model.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• 제24권5호
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• pp.363-373
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• 2014

In this study, computational multi-body dynamic analyses for the drivetrain system of a 5 MW class offshore wind turbine have been conducted using efficient equivalent modeling technique based on the design guideline of GL 2010. The present drivetrain system is originally modeled and its related system data is adopted from the NREL 5 MW wind turbine model. Efficient computational method for the drivetrain system dynamics is proposed based on an international guideline for the certification of wind turbine. Structural dynamic behaviors of drivetrain system with blade, hub, shaft, gearbox, supports, brake disk, coupling, and electric generator have been analyzed and the results for natural frequency and equivalent torsional stiffness of the drivetrain system are presented in detail. It is finally shown that the present multi-body dynamic analysis method gives good agreement with the previous results of the 5 MW class wind turbine system.

• Korean Management Science Review
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• 제21권2호
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• pp.61-77
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• 2004

As various methodologies for business process analysis and design have been conducted in many organizations by their own ways, those methodologies are not compatible each other. In order to reduce the cost of analysis for organizations. some mapping methods between different methodologies need to be developed. UMM(UN/CEFACT Modeling Methodology) that has an object-oriented point of view. can overcome the limits of existing bottom-up approaches and make it reasonable. It also simplifies the business and administrative procedures. IDEF( Integrated Definition Language) with a structural point of view that has been widely used as a system analysis and design method, needs to be mapped to UMM in order to reuse the existing IDEF models. In this study, we propose a guideline that deals with procedures of utilizing IDEF models from which we want to derive the UMM models for developing an electronic commerce system including electronic documents exchange. By comparing IDEF and UMM, we analyze the differences between those two methodologies. Based on these differences. we suggest the basic strategies for mapping method from IDEF to UMM. We also propose a mapping guideline that can make UMM results from the modeling results of IDEF. We can take an advantage of the existing IDEF analysis design results when we adopt UMM methodology for electronic business system. Many analysts who are familiar with the IDEF methodology can develop UMM work-flow by utilizing their existing results and skills.

• Journal of Information Technology Services
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• 제11권1호
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• pp.197-210
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• 2012

This paper presents the ways that can improve the Software Cost Estimation Guidelines in order to replace those that are expected to be abolished at February, 2012, and solve the problems that are being occurred in the current Software Cost Estimation Guidelines. By using multidimensional modeling of OLAP(On-Line Analytical Processing), this paper does three dimensional modeling that considers the product/service view, process view and skill view. Also, it presents the identification method of cost estimation data through the view of each dimension. Furthermore, it defines the software cost estimation process and adapts them into the bottom up estimation and the top down estimation. Finally, it proposes the access of cost estimation data by the multidimensional analysis of OLAP.

• Journal of KIBIM
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• 제3권1호
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• pp.1-10
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• 2013

BIM(Building Information Modeling) ordering manuals and guidelines are diffused with the recent BIM activation. However, it is causing drawbacks such as an increase of work at each design stage and a decline of BIM application level that the standard of making up and managing BIM is vague and it includes comprehensive meaning. Therefore, this study aims to secure BIM work standard by establishing BIM making-out standard based on LOD(Level of Detail) classification considering domestic design process. It compared each definition of LOD by analyzing domestic and foreign BIM guideline examples, and figured out insufficiency of existing domestic and foreign design process and BIM guidelines. Moreover, it drew architects' work articles for promoting the progression of the efficient design process, and analyzed BIM requirements on design process, dividing BIM application scale by field. Through this analyzing process, it finally established BIM making-out standard classified by design process. The effects of establishing BIM making-out standard would include improving a division of labor and cooperation environment by creating integrated BIM model on design stages, advancing work efficiency by preventing a repetition and an increase of work, and upgrading project completeness and design quality. Besides, it can secure BIM work standard by clarifying responsibility for working steps. BIM making-out standard established by this study will contribute to developing the future BIM work standard document and BIM guideline as a data base.

• Journal of KIBIM
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• 제1권2호
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• pp.1-5
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• 2011

A recent introduction of BIM has raised a necessity for BIM guidelines and guidelines following the decision about the BIM introduction are being present both home and abroad. This study hereby intended to develop BIM guidelines to the architectural field, for which the role and development directives of BIM guidelines were set up based on BIM concepts and examples of foreign guidelines. As a result, the role of guideline in (1)Activation of BIM (2)Support BIM process (3)Support and enhance collaboration (4)Standardized implementation of construction information (5)Technical support for BIM utilizing technology. It also classified the role of each guideline, standard and manual to establish detailed development directives. Besides, regarding the BIM process to clarify the goal to share among participants, information levels per stage and applicable scopes, for the sake of when to introduce BIM and how to use it properly, their contents were suggested in consideration of applicable BIM technologies based on business for each design stage at home.

• Environmental Engineering Research
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• 제14권2호
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• pp.102-110
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• 2009

Application of artificial intelligence (AI) approaches in eco-environmental modeling has gradually increased for the last decade. Comprehensive understanding and evaluation on the applicability of this approach to eco-environmental modeling are needed. In this study, we reviewed the previous studies that used AI-techniques in eco-environmental modeling. Decision Tree (DT) and Artificial Neural Network (ANN) were found to be major AI algorithms preferred by researchers in ecological and environmental modeling areas. When the effect of the size of training data on model prediction accuracy was explored using the data from the previous studies, the prediction accuracy and the size of training data showed nonlinear correlation, which was best-described by hyperbolic saturation function among the tested nonlinear functions including power and logarithmic functions. The hyperbolic saturation equations were proposed to be used as a guideline for optimizing the size of training data set, which is critically important in designing the field experiments required for training AI-based eco-environmental modeling.