• Journal of Korean Tunnelling and Underground Space Association
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• v.14 no.4
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• pp.357-374
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• 2012

Considerable uncertainties are included in ground properties used for tunnel designs due to the limited investigation and tests. In this study, a back analysis was performed to find optimal ground properties based on artificial neural network using both face mapping data and convergence measurement data. First of all, the rock class of a study tunnel is determined from face mapping data. Then the possible ranges of ground properties were selected for each rock class through a literature review on the previous studies and utilized to establish more precise learning data. To find an optimal training model, a sensitivity analysis was also conducted by varying the number of hidden layers and the number of nodes more minutely than the previous study. As a result of this study, more accurate ground properties could be obtained. Therefore it was confirmed that the accuracy of the results could be increased by making use of not only convergence measurement data but also face mapping data in tunnel back analyses using artificial neural network. In future, it is expected that the methodology suggested in this study can be used to estimate ground properties more precisely.

• Journal of the Korean Institute of Landscape Architecture
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• v.26 no.2
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• pp.118-132
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• 1998

There are numerous plant and animal species which are adapted to the conditioins of the urban environment. The objectie of landscape and nature conservation in cities can be considered as the perservation of these organisms as the basis for a direct contact between urban dwellers and the landscape elements. However, after 1980 in Korea, green and biotope oases started to develop in the center of the urban area, from which the surrounding population benefited, at least indirectly. Thus urban biotope mapping and biotope informatioin system as a specialized tool of urban ecological landscape planning will make clear the orientation for the preservation of species and renaturalizing measures. The results are as follows : 1) Biotope types in the study area were separated to 21 biotope. 2) The written description of the biotopes took place on the computerized forms. The basis for the uniform inclusion and description of all biotopes surveyed was a codeplan. Additional details were included on the urban biotope mapping. 3) The evaluation of the mapped biotopes was completed to the following aspect, namely " species diversity and biotope conservation value" and "nature experience value". 4) UBM and BIS represent an important basis for decision aid for the city administration within the context of the ecological urban and landscape planning process. 5) The methodology of UBM and BIS in this study area could be extended to whole urban area.to whole urban area.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.497-500
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• 2008

Recently, the urban regeneration project has been performed actively at home and abroad. The stake-holders in urban regeneration project are various and complicated, and has large scale during a long life period. Also they show the characteristics of a mega-project and most mixed-use form. Therefore, the urban regeneration has a lot of potential risk factors from project beginning to completion. It means they need efficient and continuous risk management in terms of performance measurement. But the current domestic construction project does not reflect risk management in view of performance measurement. This study proposes the risk management methodology by mapping risk factors with major performance indexes of the urban regeneration project.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.30-30
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• 2018

Research on mapping levees is an important task for assessing levee stability. The drone imagery acquired in river basins is useful for generating real-time levee maps. This research proposes a robust methodology for mapping levees in river basins using the drone imagery. In the first step, the multiple imagery taken in the test bed was acquired by the drone. Then, the orthorectified image and DEM (Digital Elevation Model) were generated by the photogrammetry and image processing process. Finally, the significant features on levee surfaces such as levee tops, levee lines, levee slopes, eroded areas were detected from the generated DEM and orthorectified image by manual labors and automatic methods. In future research, the automatic procedure for identifying the significant levee features from the drone imagery would be proposed.

• Journal of Wellbeing Management and Applied Psychology
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• v.6 no.3
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• pp.1-11
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• 2023

Purpose: This research aims to facilitate a smooth transition from KCD-8 to ICD-11 through the study of ICD-11. Research design, data and methodology: Skilled Health Information Managers (HIMs) in Korea performed manual mapping and conducted a study of the code structure of ICD-11 chapters 11 and 12. Results: When comparing the granularity between ICD-11 and KCD-8, 58.1% of ICD-11 codes showed higher granularity, and 38.6% had similar granularity. The granularity of the circulatory system was higher than that of the respiratory system. When comparing the KCD-8 codes mapped by ICD-11 with the total 924 KCD-8 codes, it was found that about 50% of KCD-8 codes were not mapped to ICD-11. This means that 50% of diseases in the KCD-8 do not have individual codes as they did in ICD-11. Conclusions: ICD-11 demonstrated high granularity, indicating its effectiveness in describing cutting-edge medical technology in modern society. However, we also observed that some diseases were removed from KCD-8, while others were added to ICD-11. To ensure smooth statistics transition from KCD8 to ICD-11, especially for leading domestic diseases, integrated management, including the preparation of KCD-9 reflecting ICD-11 and ICD-11 training, will be necessary through the analysis of new codes and the removal of codes.

• International Journal of Quality Innovation
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• v.6 no.1
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• pp.74-97
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• 2005

IDEF0 is the IEEE standard for functional enterprise modeling and has been used for business process modeling or process mapping in US and Europe. But it does not reflect the potential benefits of modeling and simulation of the dynamic aspects of an enterprise or a system. On the other hand, simulation tools concentrate mostly on the simulation of material flows and are difficult to include information flows and control flows. Additionally, the simulation models that include elements such as queues, event generators and process nodes is a visual interactive representation for the model builder, but is inconvenient for the domain expert. In an attempt to fill that void, we provide an integration of business process and simulation models in this paper. An enhancement of the IDEF0, called parameterized IDEF0, is proposed and its conversion mechanism to network simulation model is developed. Using this methodology, business process models for alternative systems can be evaluated and compared through simulation on time, cost, and quality metrics. As an application of the proposed methodology, economic evaluation of EDI (Electronic Data Interchange) for time-based BPR (Business Process Redesign) is demonstrated. In addition to BPR, the developed methodology may be further integrated with ABC (Activity Based Costing), TQM (Total Quality Management), and economic evaluation of information systems.

• New & Renewable Energy
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• v.9 no.2
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• pp.40-50
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• 2013

Government spending on research and development increased continuously is much more important to decision-making methodology for rational investment. Rely on a group of minority experts in the application of a general methodology, a tipping effect occur in specific technology field or difficult balanced procedure and objective control to maintain. This paper presents a qualitative-quantitative methodology to avoid such risks by utilizing Technology-Tree pertaining to energy R&D planning of the government Energy Technology Development program. Especially Energy Technology Development program "energy storage system" is applied to the analysis of Technology-Tree, mapping and analysis of existing government-supported projects during the recent 5 years, is derived essential missing elements of the technology value chain. This study suggests that significant evidence is utilized for improving efficiency of government R&D budget considering the importance of technology, domestic research-based and so forth, could be used to implement the R&D project planning.

• The Journal of Korea Robotics Society
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• v.9 no.4
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• pp.197-205
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• 2014

As computer vision algorithms are developed on a continuous basis, the visual information from vision sensors has been widely used in the context of simultaneous localization and mapping (SLAM), called visual SLAM, which utilizes relative motion information between images. This research addresses a visual SLAM framework for online localization and mapping in an unstructured seabed environment that can be applied to a low-cost unmanned underwater vehicle equipped with a single monocular camera as a major measurement sensor. Typically, an image motion model with a predefined dimensionality can be corrupted by errors due to the violation of the model assumptions, which may lead to performance degradation of the visual SLAM estimation. To deal with the erroneous image motion model, this study employs a local bundle optimization (LBO) scheme when a closed loop is detected. The results of comparison between visual SLAM estimation with LBO and the other case are presented to validate the effectiveness of the proposed methodology.

• Nuclear Engineering and Technology
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• v.19 no.4
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• pp.266-278
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• 1987

This paper addresses the issues in setting performance criteria for safety regulation of nuclear power plants. Since setting criteria at the low level is a much more difficult task than it is at the top level, the low-level performance criteria should be derived consistently from the more easily determinable top-level performance criteria. The paper also proposes several approaches to characterizing uncertainties in performance criteria, by extending the reliability allocation methodology that is based on the mean-to-mean mapping to a stochastic multi-objective optimization problem where the state variables are uncertain.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.6
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• pp.539-545
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• 2010

Through the AUTOSAR methodology, the embedded software shall become more flexible, reusable, maintainable than ever. However, it is not mentioned about specific timing constraints of software components in AUTOSAR. There are a few basic principles for mapping runnable entities. At this point, AUTOSAR software design with optimal scheduling method is one of the enabling technologies in vehicle embedded system. This paper presents an approach based on mapping runnable entities and task scheduling design method for EPS (Electric Power Steering) software components, based on AUTOSAR. In addition, the experimental results of concurrent simulation show that the proposed scheduling technique and timing synchronization in the software component design can achieve the improved torque ripple performance and it well suited for EPS application software.