• The Korean Journal of Emergency Medical Services
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• v.22 no.1
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• pp.7-19
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• 2018

Purpose: With the purpose of educating and producing outstanding paramedics by enhancing their competencies, this study aimed to make policy suggestions to re-establish the education system and improve the national examination and the certification scheme. Methods: This study used focus group interviews and questionnaires to collect data. Totally, there were 277 subjects, including experts from the education and field. Data were collected from September 9 to 20, 2016, and analyzed using SPSS 22.0. Results: To strengthen the curriculum of paramedics, this study suggested 27 courses with 94 credits as the standardized curriculum and derived 9 core competencies of paramedics. For the national examination, this study suggested consolidating written test subjects, adding scenario questions to practical tests, and applying critical criteria to simple practical tests that performs a procedure, grading these tests on a pass/fail basis. In addition, this study suggested converting certification into license, reflecting paramedics' healthcare job characteristics. Conclusion: The quality of emergency medical services in Korea will improve when those with core competencies that originated from the standardized curriculum based on the results of this study acquire their certification through the national test scheme, and the certification management system creates a virtuous cycle to further enhance paramedics' professionalism.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.139-153
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• 2017

Corporate bankruptcy can cause great losses not only to stakeholders but also to many related sectors in society. Through the economic crises, bankruptcy have increased and bankruptcy prediction models have become more and more important. Therefore, corporate bankruptcy has been regarded as one of the major topics of research in business management. Also, many studies in the industry are in progress and important. Previous studies attempted to utilize various methodologies to improve the bankruptcy prediction accuracy and to resolve the overfitting problem, such as Multivariate Discriminant Analysis (MDA), Generalized Linear Model (GLM). These methods are based on statistics. Recently, researchers have used machine learning methodologies such as Support Vector Machine (SVM), Artificial Neural Network (ANN). Furthermore, fuzzy theory and genetic algorithms were used. Because of this change, many of bankruptcy models are developed. Also, performance has been improved. In general, the company's financial and accounting information will change over time. Likewise, the market situation also changes, so there are many difficulties in predicting bankruptcy only with information at a certain point in time. However, even though traditional research has problems that don't take into account the time effect, dynamic model has not been studied much. When we ignore the time effect, we get the biased results. So the static model may not be suitable for predicting bankruptcy. Thus, using the dynamic model, there is a possibility that bankruptcy prediction model is improved. In this paper, we propose RNN (Recurrent Neural Network) which is one of the deep learning methodologies. The RNN learns time series data and the performance is known to be good. Prior to experiment, we selected non-financial firms listed on the KOSPI, KOSDAQ and KONEX markets from 2010 to 2016 for the estimation of the bankruptcy prediction model and the comparison of forecasting performance. In order to prevent a mistake of predicting bankruptcy by using the financial information already reflected in the deterioration of the financial condition of the company, the financial information was collected with a lag of two years, and the default period was defined from January to December of the year. Then we defined the bankruptcy. The bankruptcy we defined is the abolition of the listing due to sluggish earnings. We confirmed abolition of the list at KIND that is corporate stock information website. Then we selected variables at previous papers. The first set of variables are Z-score variables. These variables have become traditional variables in predicting bankruptcy. The second set of variables are dynamic variable set. Finally we selected 240 normal companies and 226 bankrupt companies at the first variable set. Likewise, we selected 229 normal companies and 226 bankrupt companies at the second variable set. We created a model that reflects dynamic changes in time-series financial data and by comparing the suggested model with the analysis of existing bankruptcy predictive models, we found that the suggested model could help to improve the accuracy of bankruptcy predictions. We used financial data in KIS Value (Financial database) and selected Multivariate Discriminant Analysis (MDA), Generalized Linear Model called logistic regression (GLM), Support Vector Machine (SVM), Artificial Neural Network (ANN) model as benchmark. The result of the experiment proved that RNN's performance was better than comparative model. The accuracy of RNN was high in both sets of variables and the Area Under the Curve (AUC) value was also high. Also when we saw the hit-ratio table, the ratio of RNNs that predicted a poor company to be bankrupt was higher than that of other comparative models. However the limitation of this paper is that an overfitting problem occurs during RNN learning. But we expect to be able to solve the overfitting problem by selecting more learning data and appropriate variables. From these result, it is expected that this research will contribute to the development of a bankruptcy prediction by proposing a new dynamic model.

• Journal of the Korean Institute of Landscape Architecture
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• v.40 no.3
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• pp.42-50
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• 2012

City squares are public open spaces which are closely related to the peoples daily lives. Most squares are located in the center of the city, and they are usually used for community gatherings and they are suitable for open markets, music concerts, political rallies, and other events. City squares also play an important role as a grand public place operating in multi functions that require involvement of more people. The purpose of this study is to examine satisfaction on the spatial components, characteristics, and the user satisfaction in City Squares. The slady also analyzed the relationship between the satisfaction about spatial components, characteristics and it also shows that the user satisfaction is followed. This study sites are made in 3 grand public places in the center of Seoul including the Seoul plaza, Cheonggye Plaza, and Gwanghwarnun Square. Data were analyzed using several statistical methods such as descriptive statistics, factor analysis, ANOVA, correlation and regression. Results of the study are as follows: First, factor analysis carried out to extract the various factors of satisfaction on the sites; spatial components, usability, amenity/security, and spatial characteristics. User satisfaction concerning usability factor was higher than the satisfaction of the other factors. This result represented that the slady sites play an important role to the public open spaces in the city. Second, users showed high user satisfaction to study sites, and user satisfaction rate toward the Gwanghwarnun Square is the highest because of its facility planuing. Finally, user satisfactim was strongly correlated on the usability factor of spatial planning. Also, the significant correlations between the user satisfaction and the other factors such as spatial components, security, and spatial characteristics of spatial planning are presented. Results of this study can help guide the planning and management of the city square as a public open space based on the understanding of user perception and satisfaction.

• Journal of the Korean Institute of Landscape Architecture
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• v.48 no.4
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• pp.19-28
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• 2020

The Urban Heat Island (UHI) Effect has intensified due to urbanization and heat management at the urban level is treated as an important issue. Green space improvement projects and environmental policies are being implemented as a way to alleviate Urban Heat Islands. Several studies have been conducted to analyze the correlation between urban green areas and heat with linear regression models. However, linear regression models have limitations explaining the correlation between heat and the multitude of variables as heat is a result of a combination of non-linear factors. This study evaluated the Heat Island alleviating effects in Seoul during the summer by using a deep neural network model methodology, which has strengths in areas where it is difficult to analyze data with existing statistical analysis methods due to variable factors and a large amount of data. Wide-area data was acquired using Landsat 8. Seoul was divided into a grid (30m × 30m) and the heat island reduction variables were enter in each grid space to create a data structure that is needed for the construction of a deep neural network using ArcGIS 10.7 and Python3.7 with Keras. This deep neural network was used to analyze the correlation between land surface temperature and the variables. We confirmed that the deep neural network model has high explanatory accuracy. It was found that the cooling effect by NDVI was the greatest, and cooling effects due to the park size and green space proximity were also shown. Previous studies showed that the cooling effects related to park size was 2℃-3℃, and the proximity effect was found to lower the temperature 0.3℃-2.3℃. There is a possibility of overestimation of the results of previous studies. The results of this study can provide objective information for the justification and more effective formation of new urban green areas to alleviate the Urban Heat Island phenomenon in the future.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.17 no.1
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• pp.123-134
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• 2014

Identification of methods to optimize the growth of a plant community, including the capacity of the soil to further sequester carbon, is important in urban design and planning. In this study, to construct and manage an urban park to mitigate carbon emissions, soil organic carbon of varying biomass, different park construction times, and a range of vegetation types were analyzed by measuring aboveground and belowground carbon in Seoseoul Lake Park and Yangjae Citizen's Forest. The urban parks were constructed during different periods; Seoseoul Lake Park was constructed in 2009, whereas Yangjae Citizen's Forest was constructed in 1986. To identify the differences in soil organic carbon in various plant communities and soil types, above and belowground carbon were measured based on biomass, as well as the physical and chemical features of the soil. Allometric equations were used to measure biomass. Soil total organic carbon (TOC) and chemical properties such as pH, cation exchange capacity (CEC), total nitrogen (TN), and soil microbes were analyzed. The analysis results show that the biomass of the Yangjae Citizen's Forest was higher than that of the Seoseoul Lake Park, indicating that older park has higher biomass. On the other hand, TOC was lower in the Yangjae Citizen's Forest than in the Seoseoul Lake Park; air pollution and acid rain probably changed the acidity of the soil in the Yangjae Citizen's Forest. Furthermore, TOC was higher in mono-layered plantation area compared to that in multi-layered plantation area. Improving the soil texture would, in the long term, result in better vegetation growth. To improve the soil texture of an urban park, park management, including pH control by using lime fertilization, soil compaction control, and leaving litter for soil nutrition is necessary.

• Clinics in Shoulder and Elbow
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• v.12 no.1
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• pp.61-66
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• 2009

Purpose: Several authors have reported excellent results of delayed reconstruction of non-union & malunion in displaced mid-shaft fractures of the clavicle and these results were equal to that of immediate fixation. But direct comparison between these treatments is rare. We evaluated the results between the immediate fixation group and delayed reconstruction group for treating displaced mid-shaft fractures of the clavicle. Materials and Methods: We studied the results of 18 cases with immediate fixation of displaced mid-shaft fractures of the clavicle and 15 cases with delayed reconstruction of non-union & malunion after conservative management, and these cases were seen from March 2000 to February, 2006. The final postoperative outcome was analyzed according to the clinical outcomes with using the Constant score and the radiological findings of bony union. Results: The constant score was low in the delayed reconstruction group compare to that of the immediate fixation group (p value=0.045). For the pain score & the activities of daily living score, a statistically significant difference was seen between the two groups (p<0.05), but not for the range of motion score & the power score (p>0.05). Radiological findings of bony union were seen for both groups at an average of 8.8 weeks for the immediate fixation group and at an average of 9.8 weeks for the delayed reconstruction group. Conclusion: Though the delayed reconstruction group was shown good clinical and radiological results, the immediate fixation group had a significantly better pain score, a better activities of daily living score and a better Constant score. It is important to choose the initial treatment option for displaced mid-shaft fractures of the clavicle after sufficient explanation to patients about the merits and demerits between these two treatment options.

• Journal of Korean Society of Environmental Engineers
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• v.28 no.11
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• pp.1213-1221
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• 2006

In this study, granular sludge used in an anaerobic process treating brewery waste was inoculated in a laboratory scale of reactor to induce anaerobic ammonium oxidation(ANAMMOX). The reactor was operated with synthetic wastewater, which prepared at 1:1 ratio of $NH_4^+-N$ over $NO_2^--N$. Changes in nitrogen concentration, COD, alkalinity and gas production were analyzed. There are 3 phases of spanning in experimental period according to influent nitrogen concentration. In the Phase 1, each of the concentration of $NH_4^+-N$ and $NO_2^--N$ were increased from 1.91 $gN/m^3{\cdot}d$ to 14.29 $gN/m^3{\cdot}d$. Ammonium nitrogen loading(same as nitrite nitrogen) was 23.81 $gN/m^3{\cdot}d$ in the Phase 2 and 19.05 $gN/m^3{\cdot}d$ in the Phase 3, respectively $NO_2^--N$ has been removed up to 99% during whole period while the removal efficiency of $NH_4^+-N$ was significantly varied. In Phase 2, $NH_4^+-N$ was removed up to 75%. Microorganisms varied temporally through three phases were characterized by 16s rDNA analysis methods. ANAMMOX bacteria were dominantly found in phase 2 when the removal rate of $NO_2^--N$and $NH_4^+-N$ was the highest up to 99% and 75%, respectively. Due to erroneous exposed to air, the removal efficiency of $NH_4^+-N$ was unexpectedly lowered, but ANAMMOX bacteria still existed.

• Korean Journal of Environmental Agriculture
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• v.34 no.1
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• pp.6-13
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• 2015

BACKGROUND: Most of the tailings have been left without any management in abandoned metalliferous mines and have become the main source of heavy metal contamination for agricultural soils and crops in the these areas. METHODS AND RESULTS: This experiment was carried out to investigate the assessment of the heavy metal contamination in paddy soils located on downstream of the closed metalliferous mine. The average total concentrations of cadmium (Cd), copper (Cu), lead (Pb), zinc (Zn), and arsenic (As) in paddy soils were 8.88, 56.7, 809, 754, and 37.9 mg/kg, respectively. Specially, the average concentrations of Cd, Pb and Zn were higher than those of warning criteria for soil contamination(4 mg/kg for Cd, 200 mg/kg for Pb, and 300 mg/kg for Zn) in agricultural soil established by Soil Environmental Conservation Act in Korea. The proportions of 0.1 M HCl extractable Cd, Cu, Pb, Zn, and As concentration to total concentration of these heavy metals in paddy soils were 27.7, 21.3, 35.1, 13.8 and 10.5%, respectively. The pollution index of these five metals in paddy soils ranged from 0.42 to 11.92. Also, the enrichment factor (EFc) of heavy metals in paddy soils were in the order as Cd>Pb>Zn>Cu>As, and the enrichment factor in paddy soil varied considerably among the sampling sites. The geoaccumulation index (Igeo) of heavy metals in soils were in the order as Cd>Pb>Zn>Cu>As, specially, the average geoaccumulation index of Cd, Pb, and Zn (Igeo 2.49~3.10) were relatively higher than that of other metals in paddy soils. CONCLUSION: Based on the pollution index, enrichment factor, and geoaccumulation index for heavy metal in paddy soils located on downstream of closed metalliferous mine, the main contaminants are mine waste materials and mine drainage including mine activity.

• Korean Journal of Environmental Agriculture
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• v.30 no.3
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• pp.252-260
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• 2011

BACKGROUND: Currently, national biomass inventory are being established for efficient management of the potential energy sources. Among the various types of biomass, agricultural wastes are considered to take the biggest portion of the total annual biomass generated in Korea, implying its importance. However, the currently estimated amount is not reliable because the old reference data are still used to estimate total annual amount of agricultural wastes. METHODS AND RESULTS: Therefore, to provide reliable estimation data, a correct conversion factor obtained by taking into account the current situation is required. For this, the current study was conducted to provide the conversion factors for each representative 8 crop through a field cultivation study. Also conversion factors for 18 crops were calculated using the average amount of each crop produced during 2004 and 2008, subsequently; total amount of agricultural wastes generated in 2009 was estimated using these conversion factors. The total biomass of rice straw and rice husk generated in 2009 were 6.5 and 1.1 million tons, respectively, which consist 75% of the total agricultural based wastes, while the total biomass of pepper shoots and apple pruning twigs were 1.0 and 0.6 million tons, respectively. Despite the high amount of rice-based biomass, their applicability for bio-energy production is low due to conventional utilization of these materials for animal feeds and beds for animal husbandry. In addition to exact estimation of the total biomass, temporal variations in both generated amount and the type of agricultural biomass materials are also important for efficient utilization; fruit pruning twigs (January to March); barley-, been-, and mustard-related waste materials (April to June); rice-related waste (September to October). CONCLUSION(s): Such information provided in this study can be used to establish a master plan for efficient utilization of the agricultural wastes on purpose of bio-energy production.

• Journal of Nutrition and Health
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• v.50 no.1
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• pp.85-97
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• 2017

Purpose: This study was conducted to investigate dietary habits related to weight reduction and snack intake habits of $4^{th}$ to $5^{th}$ grade elementary students located in Jeju-si, Jeju, South Korea. Methods: The $4^{th}$ and $5^{th}$ grade elementary school students (total n = 234, equally matched numbers of normal weight children and overweight/obese children (n = 117/group)) were surveyed using a questionnaire and a 24-hour dietary recall method in Oct 2015. Results: The percentage of students who experienced reduced food intake to control weight was 26.3% in the normal weight group (NG) and 77.6% in the obese group (OG). Most frequently answered meal for reduced intake was snacks in the NG and dinner in the OG. Percentages of daily calorie intake among subjects were 17.2% for breakfast, 33.8% for lunch, 29.7% for dinner, and 19.3% for snacks. Frequency of snack intake was 2.1 times a week in NG and 1.6 times a week in OG, which showed a statistical difference between body weight groups. Types of snack foods were distinctly different depending on where children consumed them, although no difference was observed between NG and OG. In addition, snack intake level of low energy and nutrient-dense foods was significantly lower in the OG compared to the NG, whereas snack intake level of energy dense and low-nutritive foods was not different between the OG and NG. Conclusion: Taken together, snack intake level with consideration of frequency and amount of snack intake showed that children in the OG consumed significantly less low energy and nutrient-dense foods compared to the NG. Therefore, nutritional education for choosing healthy snack foods for children regardless of body weight status is crucial based on family-school links.