• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.5D
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• pp.497-504
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• 2010

In this paper, the author presents a reliability estimation technique to analyze the effects of traffic loads on pavement mean life based on the national highway database of Suwon and Uijeongbu region from 1999 to 2008. The estimation of the mean life, its standard deviation and reliability for pavement sections are calculated by using an appropriate distribution, Lognormal distribution, based on reliability theory. Furthermore, the probability paper method and Maximum likelihood estimation are both used to estimate parameters. The author found that mean life of newly constructed sections and over-layed sections is about 6.5 to 7.9 years and 7.3 to 9.1 years, respectively. The author also ascertained that the results of cumulative failure probability for pavement life between the proposed methods and observed data are similar. Such an assessment methodology and measures based on reliability theory can provide useful information for maintenance plans in pavement management systems as long as additional life data on pavement sections are accumulated.

• The Journal of Engineering Geology
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• v.34 no.1
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• pp.107-115
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• 2024

This study assesses forest fire susceptibility in Gangwon-do, South Korea, which hosts the largest forested area in the nation and constitutes ~21% of the country's forested land. With 81% of its terrain forested, Gangwon-do is particularly susceptible to wildfires, as evidenced by the fact that seven out of the ten most extensive wildfires in Korea have occurred in this region, with significant ecological and economic implications. Here, we analyze 480 historical wildfire occurrences in Gangwon-do between 2003 and 2019 using 17 predictor variables of wildfire occurrence. We utilized three machine learning algorithms—random forest, logistic regression, and support vector machine—to construct wildfire susceptibility prediction models and identify the best-performing model for Gangwon-do. Forest and soil map data were integrated as important indicators of wildfire susceptibility and enhanced the precision of the three models in identifying areas at high risk of wildfires. Of the three models examined, the random forest model showed the best predictive performance, with an area-under-the-curve value of 0.936. The findings of this study, especially the maps generated by the models, are expected to offer important guidance to local governments in formulating effective management and conservation strategies. These strategies aim to ensure the sustainable preservation of forest resources and to enhance the well-being of communities situated in areas adjacent to forests. Furthermore, the outcomes of this study are anticipated to contribute to the safeguarding of forest resources and biodiversity and to the development of comprehensive plans for forest resource protection, biodiversity conservation, and environmental management.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.245-258
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• 2016

This paper aims to present the way to bring about significant results through performance improvement of learning algorithm in the research applying to machine learning. Research papers showing the results from machine learning methods were collected as data for this case study. In addition, suitable machine learning methods for each field were selected and suggested in this paper. As a result, SVM for engineering, decision-making tree algorithm for medical science, and SVM for other fields showed their efficiency in terms of their frequent use cases and classification/prediction. By analyzing cases of machine learning application, general characterization of application plans is drawn. Machine learning application has three steps: (1) data collection; (2) data learning through algorithm; and (3) significance test on algorithm. Performance is improved in each step by combining algorithm. Ways of performance improvement are classified as multiple machine learning structure modeling, $+{\alpha}$ machine learning structure modeling, and so forth.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.4
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• pp.687-694
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• 2020

SDN and NFV are next-generation network technologies, and cloud, such as data centers, campuses, and large companies, has been established, or is actively applied by service-oriented communication companies. In particular, the Defense Integrated Data Center will be a prime example for military applications. In order for the Defense Integrated Data Center (DIDC) to become an intelligent center, it is accelerating the promotion of the "Smart Defense Integrated Data Center", which applied the latest information and communication technology (ICT). At the time of the establishment of DIDC, it plans to start building infrastructure such as cloud services at around 30% level, and expand D-Cloud to 75% through 'Cloud First'. In addition, the introduction of SDN/NFV will reduce the operation cost and manpower of DIDC, strengthen the ability to efficiently use information resources and cyber information protection systems, and increase flexibility and agility in using each system to improve efficiency in defense management in the future. Therefore, we will discuss the justification and expected effects of SDN/NFV introduction, focusing on DIDC.

• Journal of Industrial Convergence
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• v.18 no.6
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• pp.19-25
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• 2020

Big data analytics are indispensable today in various industries and public sectors. Therefore, in this study, we will utilize big data analysis to search for improvement plans for domestic tourism services using the LDA analysis method. In particular, we have tried an exploratory approach that can improve tourist satisfaction, which can improve revisit and service, especially in Seoul, which has the largest number of foreign tourists. In this study, we collected and analyzed statistical data of Seoul City and Korea Tourism Organization and Internet information such as SNS via R. And we utilized text mining methods including LDA. As a result of the analysis, one of the purposes of visiting South Korea by foreigners was gastronomic tourism. We will try to derive measures to improve the quality of services centered on gastronomic tourism.

• Journal of Korean Society of Forest Science
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• v.86 no.2
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• pp.233-240
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• 1997

This study was carried out to investigate members' affiliation motive to Forest Management Cooperative which is the main managemental body of the private forests and management problems of the organization to find out a solution of the problems and set active promotion plan. The questionnaire about the management of the cooperatives was done by interviewing the members at Seoha Inboh Forest Management Cooperative in Ulsan-gun, Kyongsangnam-do and Sechong Forest Management Cooperative in Chinan-gun, Chollabuk-do from July to August in 1993. Twenty interviewees were selected in the order of their business quantity on the forest from the members who reside in their villages. Integrated matters such as were members' affiliation motive, benefit after their affiliation, management system, incorporation of the organization and other issues concerning to managemental plans questioned. During the survey period, other data about management of the cooperatives were collected from the related organizations and opinions of every president of nine cooperatives in the investigated regions. The majority of the members agreed that the cooperative is an independent forest organization and evaluated the Training and Extension Service Center high. However, their participations in the cooperative such as forest technical training and cooperative forest management were low since they have not earned any income from their forest management.

• Journal of the Korean Institute of Landscape Architecture
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• v.43 no.6
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• pp.109-126
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• 2015

This study is for constructing detailed data to secure biological diversity and maintain a healthy ecosystem in Backsasil Valley Ecological and Scenery Conservation Area, and for preparing an ecological management plan fit for the protected area. The period for this study was from April 2010 to May 2013. Recently, the increase of visitors to Baeksasil Valley, as well as the plantation and dissemination of introduced vegetable species, become factors accelerating ecological disturbance. Major research contents included the reviews of the management system of the protected areas, the necessity of ecological management at the basin level, establishing the system of a management plan, research and analysis of environment ecology, analysis of threatening factors, goal-setting, management strategies, and a plan through SWOT analysis. Survey items were the natural environment, major components of ecosystem, and human-use. The goals of ecological management were basin zone management for amphibians, conservation and restoration of forest vegetation for conservation habitat of Dryocopus martius, conservation habitat of Zelkova serrta for nature landscape, and management of users for environment protection. The conservation management plan at a basin zone level contains the management of point and non-point pollution sources in the upstream, securing growing conditions for native plants, securing safe habitats for amphibians, and securing of habitats for major wild birds. Also, restoration of natural forests, management of native plants and introduced vegetable species, and restoration of degraded forest paths are suggested for the restoration plans.

• Journal of radiological science and technology
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• v.30 no.4
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• pp.321-327
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• 2007

The purpose of this study to survey radiation workers' knowledge, attitude and behavior related to radiation safety management at medical institutions as an educational approach to radiation safety management and to accumulate materials in continuity of past data and, by doing so, to examine changes over time, to analyze long-term trends systematically and to derive ground data for establishing radiation safety control plans to prevent health disorders caused by radiation not only in radiation workers but also in ordinary people. For these purposes, a questionnaire survey was conducted with radiation workers at medical institutions throughout the country for around 40 days in 2001 and 2006. The results are summarized as follows. 1. The levels of knowledge, attitude and behavior related to radiation safety management were all higher in 2006 than in 2001. 2. Statistically significant correlations were observed between knowledge and attitude, between behavior and knowledge and between attitude and behavior in both 2001 and 2006. In particular, the correlation between attitude and behavior were higher in 2006 than in 2001, suggesting that radiation workers' attitude has been improved. 3. Factors affecting radiation workers' behavior related to radiation safety management were knowledge and attitude in both 2001 and 2006, and the effect of attitude was higher than that of knowledge.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.23 no.4
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• pp.375-384
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• 2005

Three dimensional urban models are being increasingly applied for various purposes such as city planning, telecommunication cell planning, traffic analysis, environmental monitoring and disaster management. In recent years, technologies from CAD and GIS are being merged to find optimal solutions in three dimensional modeling of urban buildings. These solutions include modeling of the interior building space as well as its exterior shape visualization. Research and development effort in this area has been performed by scientists and engineers from Computer Graphics, CAD and GIS. Computer Graphics and CAD focussed on precise and efficient visualization, where as GIS emphasized on topology and spatial analysis. Complementary research effort is required for an effective model to serve both visualization and spatial analysis purposes. This study presents an efficient way of using the CAD plans included in the building register documents to reconstruct the internal space of buildings. Topological information was built in the geospatial database and merged with the geometric information of CAD plans. as well as other attributal data from the building register. The GIS network modeling method introduced in this study is expected to enable an effective 3 dimensional spatial analysis of building interior which is developing with increasing complexity and size.

• Culinary science and hospitality research
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• v.15 no.4
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• pp.212-226
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• 2009

This study attempted to analyze the correlation between financial ratio and operating performance of foodservice companies, using the financial data by DART service. Financial ratio is an index to identify the management of foodservice companies from calculating the ratio associating two accounts in the financial statements. Managers, creditors and investors often have different purposes for using the ratio analysis to evaluate the contents of the financial statements. According to the analysis of financial ratio and operating performance, listed food and beverage companies proved to have a high correlation in all except for interest coverage. However, foodservice companies showed a high correlation in stability and growth ratio. Therefore, managers of the foodservice companies will need to improve operating performance for using efficient utilization plans of debt from assets and operating expenses(cost of goods sold, general and other expenses).