• Journal of the Korea Institute of Building Construction
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• v.18 no.2
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• pp.169-176
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• 2018

The purpose of this study is to analyze the effects of applying BIM to the construction phase on preventing rework. Previous studies have presented the contribution of BIM in various ways, but a more practical and reliable analysis methodology are required. In this study, a BIM effect analysis methodology was proposed after collecting requirements on BIM effect analysis from field professionals. In the case study, the rework prevention effect was analyzed based on the proposed methodology. As a result, it was found that BIM application produced the rework prevention effect of approximately KRW 370,519,593. In addition, a consultation with field professionals on the suitability of the proposed methodology and effect analysis results were revealed that the results were sufficiently reliable. The results of this study can be used as efficient basic materials for research on BIM performance measurement in the future.

• Transactions of the Korean Society of Automotive Engineers
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• v.16 no.1
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• pp.64-70
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• 2008

Temperatures of engine head and liner depend on many factors such as spray and combustion process, coolant passage flow and engine related structures. To estimate the temperature distribution of engine structure, multi-dimensional computational fluid dynamics (CFD) codes have been mainly adopted. In this case, it is of great importance to obtain the realistic wall temperature distribution of entire engine structure. In the present work, a CFD-FEM coupling methodology was presented to address this demand. This approach was applied to a real large-size marine diesel engine. CFD combustion and coolant flow simulations were coupled to FEM temperature analysis. Wall heat flux and wall temperature data were interfaced between combustion simulation and solid component temperature analysis via translator by a commercial CFD package named FIRE by AVL. Heat transfer coefficient and surface temperature data were exchanged and mapped between coolant flow simulation and FEM temperature analysis. Results indicate that there exists the optimum cell thickness near combustion chamber wall to reasonably predict the wall heat flux during combustion period. The present study also shows that the effect of cell refining on predicting in-cylinder pressure during combustion is negligible. Hence, the basic guidance on obtaining the wall heat flux needed for the reasonable CFD-FEM coupling analysis has been established. It is expected that this coupling methodology is a robust tool for practical engine design and can be applied to further assessment of the temperature distribution of other engine components.

• The Journal of Information Technology and Database
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• v.8 no.2
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• pp.137-159
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• 2001

This study provides a thorough methodology for IT Investment evaluation. A software tool to support the evaluation process was introduced along with a case study. The software supports the methodology that consists of 7 phases : Target analysis, ldentifying IT measures, Measuring IT impact, Assessing business value, Analyzing the decree of realization, Cost-benefit analysis, and Reporting. The case study showed that the software (CAFA) was a very useful tool supporting both decision-making and post-implementation reviews of IT investment.

• Nuclear Engineering and Technology
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• v.30 no.3
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• pp.194-201
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• 1998

DYLAM (Dynamic Logical Analytical Methodology) and its related methodologies are reviewed and found to have many favorable characteristics. Previous studies have shown that the DYLAM methodology represents an appropriate tool to study dynamic analysis. A hybrid model which is a synthesis of the DYLAM model, a system thermodynamic simulation model and a neural network predicative model, is implemented and used to analyze dynamically the CANDU pressurizer system. This study demonstrates that the hybrid model for system reliability analyses is effective.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.616-623
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• 2002

This paper proposes a new DFA methodology that ran estimate the standard assembly time and evaluate the assemblability of parts for small-sized product. We deride some determining and influencing factors related with assembly process and measure the assembly time using notion analysis to estimate of assemblability. We deduce quantitative store of assemblability through analysis of a correlation between determining factors and grade of influencing factors.

• Proceedings of the KIEE Conference
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• 2005.07b
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• pp.1297-1299
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• 2005

This paper deals with the static analysis of slotless BLDC motor. The transfer relations methodology is employed for predicting the electromagnetic characteristics, with reference to the magnetic field distribution.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.11a
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• pp.351-352
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• 2010

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.281-287
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• 1999

Decision class analysis (DCA) is viewed as a classification problem where a set of input data (situation-specific knowledge) and output data (a topological leveled influence diagram (ID)) is given. Situation-specific knowledge is usually given from a decision maker (DM) with the help of domain expert(s). But it is not easy for the DM to know the situation-specific knowledge of decision problem exactly. This paper presents a methodology fur sensitivity analysis of DCA under incomplete information. The purpose of sensitivity analysis in DCA is to identify the effects of incomplete situation-specific frames whose uncertainty affects the importance of each variable in the resulting model. For such a purpose, our suggested methodology consists of two procedures: generative procedure and adaptive procedure. An interactive procedure is also suggested based the sensitivity analysis to build a well-formed ID. These procedures are formally explained and illustrated with a raw material purchasing problem.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.03a
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• pp.281-287
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• 1999

Decision class analysis (DCA) is viewed as a classification problem where a set of input data (situation-specific knowledge) and output data(a topological leveled influence diagram (ID)) is given. Situation-specific knowledge is usually given from a decision maker (DM) with the help of domain expert(s). But it is not easy for the DM to know the situation-specific knowledge of decision problem exactly. This paper presents a methodology for sensitivity analysis of DCA under incomplete information. The purpose of sensitivity analysis in DCA is to identify the effects of incomplete situation-specific frames whose uncertainty affects the importance of each variable in the resulting model. For such a purpose, our suggested methodology consists of two procedures: generative procedure and adaptive procedure. An interactive procedure is also suggested based the sensitivity analysis to build a well-formed ID. These procedures are formally explained and illustrated with a raw material purchasing problem.

• Spatial Information Research
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• v.23 no.6
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• pp.77-87
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• 2015

A design methodology for sustainable on the earth requires a synthetic, and holistic perspective to understand natural processes and urban environments. The apperceptive, holistic landscape design methodology includes one united environment combining analysis, planning and design. In addition, the individual process needs to provide enough spatial information and demands evaluation and understanding on the impact of a design result. The perspective and vision of Ian Mcharg, as asserted in his book, Design with Nature (1969), that the earth is one superorganism is being realized with Geodesign technologies. This paper made the following research efforts which can overcome the limit of the present GIS technologies for the sustainable landscape design: Review of the previous researches, analysis of foreign Geodesign cases and applied theories, suggestion of a Geodesign methodology for landscape design, selection of Geodesign tools and technologies for the implementation of the methodology, and finally the demonstration of effectiveness and potentiality by the application of the methodology.