• Journal of the Korean Data and Information Science Society
• /
• v.17 no.1
• /
• pp.149-160
• /
• 2006

Association rule mining searches for interesting relationships among items in a given large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary threshold measures in association rule; support and confidence and lift. In the case of appling real world to association rules, we have some difficulties in data interpretation because we obtain many rules. In this paper, we develop the model of association rules using latent variables for environmental survey data.

• Hwankyungkyoyuk
• /
• v.21 no.2
• /
• pp.40-50
• /
• 2008

The purpose of this study was that verify the difference of pro-environmental behavior according to be present or not of experience environmental education for developing pro-environmental and show basic material to prepare efficient operation plans of experience environmental education is based on factor which effect of pro-environmental behavior difference according to the types. Elementary schools were divided through existence and nonexistence of an experience environmental education than I was checked up the pro-environmental behavior of students, who joined in different environmental educations each other. It was analysis by dividing into an environmental education of school, an educator (teacher, environmental-interpreter), and fields for environmental education (school inside and outside) to know types of experience environmental education. In result, elementary schoolers who experienced an experience environmental education at school class, had higher an environment-friendly behavior and elementary schoolers, who experienced an experience environmental education at class from environmental-interpreter, had higher an environment-friendly behavior by and large. As a result, this study showed that the area based on their residential quarter and an experience environmental education with realistic plans to connect with social environmental education for developing pro-environmental carrying out the most positive effect.

• Journal of Korean Society of Forest Science
• /
• v.98 no.4
• /
• pp.435-443
• /
• 2009

The purpose of this study is to construct user satisfaction model using factor analysis and regression analysis through survey on various factors which decide users' satisfaction index of OK-SUNG Recreation Forest located in Gumi-city, Kyungbuk (newly opened on Dec, 26, 2007) and to suggest the right operation plans referring to the studies on existing recreation forests. The research results are as follows; The using behavior of recreation forests reported similar pattern to existing researches such as companion pattern, duration of status, ages and costs. The result of construction regression model after dividing of using behavior of recreation forests into two sections, which are physical sector and mental sector, showed that recreation environmental factor and inner recreation factor influenced more highly on satisfaction index. This result showed that the recreation factor, which is for obtaining mental satisfaction and friendship among companions, nature friendly factor and environmental factor more highly influence on the satisfaction index and the existing studies also support this result. Therefore, in order to offer higher standard recreation opportunities to the users, there needs consideration not only concerning experience facilities, walks and paths up a mountain, but also concerning the harmony between nature and facilities. In addition, in order to offer comfort and stableness in body and mind to users, it is necessary to educate and train the staff to offer better service and to maintain the facilities of recreation forest peaceful and calm.

• Korea Journal of Hospital Management
• /
• v.22 no.3
• /
• pp.46-60
• /
• 2017

The purpose of this study is to analyze the difference of productivity according to environmental factors among 25 Regional base public hospitals. Also this study is to propose a method to improve the productivity of Regional base public hospitals in the future by improving the public performance and stable management performance by studying the productivity variables affecting profitability. The survey period was based on the last three years, and 25 Regional base public hospitals were selected for the survey. The dependent variable is the total capital medical marginal profitability and the medical profit marginal profitability which are the indicators of profitability. The independent variable, productivity, is classified into three indicators: capital productivity, labor productivity, and value added productivity. The ANOVA analysis method was used to analyze the productivity difference according to the frequency factor and the environmental factors of the Regional base public hospitals. Finally, we conducted a hierarchical regression analysis to examine the productivity variables affecting profitability. The results of this study showed that there were differences in productivity due to environmental factors such as hospital size, competition in the local medical market, and differences in management performance. The difference in productivity and profitability depending on the environmental factors suggests that it is difficult for Regional base public hospitals in each regional base to perform a balanced public service. In order to overcome this, it is necessary to provide balanced medical services such as government financial support expansion, regional medical demand forecasting and facility infrastructure construction.

• Journal of Korean Society for Atmospheric Environment
• /
• v.25 no.6
• /
• pp.562-570
• /
• 2009

Although anthracite power plant acts as the important source of greenhouse gas emissions, relatively little is known about its emission potentials. Especially, because the emissions of Non-$CO_2$ greenhouse gas $CH_4$ and $N_2O$ are strongly dependent on fuel type and technology available, it is desirable to obtain the information concerning their emission pattens. In this study, the anthracite power plants in Korea were investigated and the emission gases were analyzed using GC/FID and GC/ECD to develop Non-$CO_2$ emission factors. The anthracite samples were also analyzed to quantity the amount of carbon and hydrogen using an element analyzer, while calorie was measured by an automatic calorie analyzer. The emission factor of $CH_4$ and $N_2O$ computed through the gas analysis corresponded to 0.73 and 1.98 kg/TJ, respectively. Compared with IPCC values, the $CH_4$ emission factor in this study was about 25% lower, while that of $N_2O$ was higher by about 40%. More research is needed to extend our database for emission factors of various energy-consuming facilities in order to stand on a higher position.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2007.11a
• /
• pp.961-966
• /
• 2007

Recently the regulation related the environment is getting more and more strengthened. Needs for sustainable building is growing more and more interested in construction industry. However, most of the research has been conducted is focused on material production or maintaining phases. There are not enough research especially in construction phase. And it still exists a lot of environmental barrier factor which could not be easily quantified in construction fields. It makes problems that contractors make an effort only an adequate regulation and they does not take an interest in reducing efforts of environmental pollution. This research defines factor categories which have to be mainly managed and provides the integrated construction management method for sustainable building to reduce environmental pollution through analysis of environmental barrier factor in each work package and effective adjustment of construction plan.

• Journal of Environmental Impact Assessment
• /
• v.2 no.1
• /
• pp.39-55
• /
• 1993

The importance of urban and regional natural park increases because of the needs for preserving the natural resources and providing with natural recreation space in nature. This planning of natural park management should be established based on the research of the various natural resources in the park. But for the lack of effective data synthesizing methods and concepts, only some restricted factors for zoning plan are considered even though GIS computer system for large complex simulation is used. Therefore, in this study three ecological zoning models such as Basic Factor Model (BFM), Visual Landscape Model (VLM) and Comprehensive Ecological Model (CEM) are proposed and applied to Byounsan Peninsula Nature Park(BPNP) for comparison with the current natural park zoning. The BFM has three components -elevation, slope and vegetation. The VLM has applied with six components -elevation, slope, vegetation, road type, and the visual distance. Finally the CEM's modelling factors have included all of BFM, VLM components are added with the land use type, nature and historic resource factors. The zoning concept of BPNP was based on "Minimization" focused on the specific factors. But introduced modelling concept is "Optimization" based on the total ecological environment. So the result of the modelling has larger area for preservation and development zoning compared with the current zoning whose characteristics are ambiguous which allows the environmental destruction. The future study issues will be the determination of the weighting factor, component reconsideration based on the ground truth data and the agriculture residential area zoning.

• Journal of Climate Change Research
• /
• v.8 no.3
• /
• pp.239-245
• /
• 2017

This study aimed to suggest priority for developing emission factor (EF) and to develop the methodology of quantitative assessment of EF in the forestry sector. Based on the stock-difference method, 17 kinds of EFs (27 EFs based on forest types) were required to calculate the carbon emission in the forestry sector. Priority for developing EFs followed the standards, which is a development plan by the government agency, importance of carbon stock for greenhouse gas, and EFs by the species. Currently, the most urgent development of EFs was carbon fraction in biomass and carbon stock in dead wood. Meanwhile, the quantitative assessment of EF consisted of 7 categories (5 categories of compulsory and 2 categories of quality evaluation) and 12 verification factors. Category in compulsory verification consisted of administrative document, determination methodology of emission factors, emission characteristic, accuracy of measurement and analysis, and data representative. Category in quality evaluation consisted of data management and uncertainty estimates. Based on the importance of factors in the verification process, each factor was scored separately, however, the score needs to be coordinated by the government agency. These results would help build a reliable and accurate greenhouse gas inventory report of Korea.

• Journal of Environmental Science International
• /
• v.17 no.10
• /
• pp.1069-1073
• /
• 2008

Indoor air quality can be affected by indoor sources, ventilation, decay and outdoor levels. Although technologies exist to measure these factors, direct measurements are often difficult. The purpose of this study was to develop an alternative method to characterize indoor environmental factors by multiple indoor and outdoor measurements. Using a mass balance model and regression analysis, penetration factor (ventilation rate divided by the sum of ventilation rate and deposition constant) and source strength factor (source strength divided by the sum of ventilation rate and deposition constant) were calculated using multiple indoor and outdoor measurements. Subsequently, the ventilation rate and $NO_2$ generation rate were estimated. Mean of ventilation rate was 1.41 ACH in houses, assuming a residential N02 deposition constant of 0.94 $hr^{-1}$. Mean generation rate of $NO_2$ was 16.5 ppbv/hr. According to house characterization, inside smoking and family number were higher $NO_2$ generation rates, and apartment was higher than single-family house. In conclusion, indoor environmental factors were effectively characterized by this method using multiple indoor and outdoor measurements.

• Proceedings of the Korean Environmental Sciences Society Conference
• /
• 2003.05a
• /
• pp.155-160
• /
• 2003

Indoor air quality can be affected by indoor sources, ventilation, decay and outdoor levels. Although technologies exist to measure these factors, direct measurements are often difficult. The purpose of this study was to develop an alternative method to characterize indoor environmental factors by multiple indoor and outdoor measurements. Daily indoor and outdoor $NO_2$ concentrations were measured for 30 consecutive days in 28 houses in Brisbane, Australia, and for 21 consecutive days in 37 houses in Seoul, Korea. Using a mass balance model and regression analysis, penetration factor (ventilation rate divided by the sum of ventilation rate and deposition constant) and source strength factor (source strength divided by the sum of ventilation rate and deposition constant) were calculated using multiple indoor and outdoor measurements. Subsequently, the ventilation rate and $NO_2$ source strength were estimated. Geometric means of ventilation rate were 1.44 ACH in Brisbane, assuming a residential $NO_2$ deposition constant of 1.05 $hr^{-1}$, and 1.36 ACH in Seoul, with the measured residential $NO_2$ deposition constant of 0.94 $hr^{-1}$. Source strengths of $NO_2$ were 15.8 $\pm$ 18.2 ${\mu}g$/$m^3$.hr and 44.7 $\pm$ 38.1${\mu}g$/$m^3$.hr in Brisbane and Seoul, respectively. In conclusion, indoor environmental factors were effectively characterized by this method using multiple indoor and outdoor measurements.