• Journal of Korean Society of Forest Science
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• v.104 no.3
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• pp.476-487
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• 2015

This study was conducted to analyze the potential of Baekdu-daegan Mountain System (BDMS) in the Republic of Korea for World Heritage inscription and undertook preliminary global comparative analysis. UNEP WCMC global datasets, World Heritage global gap analyses and thematic studies conducted by IUCN were reviewed to see if the BDMS could have been identified within these as a priority area for World Heritage. With respect to potential Outstanding Universal Value this study found that the case for BDMS was weak. The BDMS lies within biogeographic regions which are already represented on the World Heritage List and at a global scale its natural values do not stand out. It was emphasized that a more fine scale analysis of the values should be undertaken. The BDMS stands out at a global scale in terms of the degree of contiguity between protected areas along its length and the legal and institutional frameworks established in the Republic of Korea. The BDMS has potential for a trans-national and serial properties along the full length of the BDMS, if two Koreas agree to work together.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.19 no.2
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• pp.1-18
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• 2016

Baekdudaegan Mountain System (BDMS) is a unique and traditional concept in Korea that puts importance on the connectivity of energy when Korean people recognize their mountain system. Two main national organizations that are in charge of managing natural environment in Korea, Korea Forest Service (KFS) and Ministry of Environment (MoE), have been independently investigating the natural resources in protected areas of BDMS. Each organization released its first survey report for the whole protected areas in 2011. In order to provide better understanding of BDMS's natural environment, the results contained in the first reports of KFS and MoE were compared. It was found that KFS contains a wider variety of survey items, though many of the items are overlapped between the reports of KFS and MoE. It was noticeable that the survey results of KFS and MoE were not always matched even for the same or similar items in the identical target areas. The main causes of the different survey results are suggested to be the differences of the details of the survey conditions between KFS and MoE, such as the season of the surveys and the subjectivity of surveyors, and the type of literatures included in the indoor survey. As a result, it is difficult to directly compare the survey results of KFS and MoE, which leads to low usability of the data and low efficiency of the survey processes. Therefore, it is strongly recommended that the sections and methodologies of survey should be clearly set with consideration for the research purposes. The survey data and geographical information should be digitalized and opened to the public for better accessibility to BDMS information. Also, the survey reports should include English summary, thereby the results can be utilized globally for scientific, cultural and political purposes, such as designation of a heritage site.

• Journal of applied mathematics & informatics
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• v.41 no.5
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• pp.1129-1143
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• 2023

Social media platforms have become an integral part of our daily lives, and they generate vast amounts of data that can be analyzed for various purposes. However, the quality of the data obtained from social media is often questionable due to factors such as noise, bias, and incompleteness. Enhancing data quality is crucial to ensure the reliability and validity of the results obtained from such data. This paper proposes an enhanced decision-making framework based on Business Decision Management Systems (BDMS) that addresses these challenges by incorporating a data quality enhancement component. The framework includes a backtracking method to improve plan failures and risk-taking abilities and a steep optimized strategy to enhance training plan and resource management, all of which contribute to improving the quality of the data. We examine the efficacy of the proposed framework through research data, which provides evidence of its ability to increase the level of effectiveness and performance by enhancing data quality. Additionally, we demonstrate the reliability of the proposed framework through simulation analysis, which includes true positive analysis, performance analysis, error analysis, and accuracy analysis. This research contributes to the field of business intelligence by providing a framework that addresses critical data quality challenges faced by organizations in decision-making environments.

• Journal of the Korean Society of Marine Environment & Safety
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• v.18 no.1
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• pp.49-54
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• 2012

The purpose of this study is to define emergency response procedures by BDMS [Building Disaster Management System] when earthquake occurs on long-span bridge structures. The study is about developing a computer-based algorithm for various earthquake intensities that works with the System. Presently, long-span bridge disaster prevention relies on closed-system centered on human intervention alone. However, this study combines IT technology and internet-based open system creating a more practical system. Additionally, assigned duties and tasks are clearly defined to all personnel involved in various disaster situations using the Active Action Diagram(AAD) techniques. Also, the design of 3-dimensional view assists to determine the appropriate initial response in times of earthquake and other disasters. The combination of the existing manual emergency response procedures and the scenario-based (IT) response system being developed will create an efficiency and fast response actions in times of emergencies.

• Journal of the Korean Society for Railway
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• v.5 no.2
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• pp.84-92
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• 2002

For an efficient management and analysis of geological/geotechnical data obtained during site investigations or tunnel construction, Tunnel Information System(TIS) was developed in this study. TIS is running in CIS(Geographical Information System) which has a spatial data. TIS consists of two parts, the Tunnel Face Mapping System(FaceMap), to record a geological features by observations and measurements at the surface of the excavation, the Borehole Data Management System(BDMS), to store the different types of rock data related to boreholes. Using the database of collapsed tunnels, 20 in Korea and 84 in Europe and with an artificial neural network, an expert system was developed for inferring the tunnel collapse pattern and its volume. And by applying Geo-predict, the system developed, in tunnels under construction, observed data from the $\bigcirc$$\bigcirc$tunnl site was compared and analyzed.