• Journal of the Korea Society of Computer and Information
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• v.24 no.10
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• pp.183-188
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• 2019

This study is a descriptive research to compare and analyze the current status of disaster-related curriculum between emergency department and nursing department Research and analysis targets were 41 universities which include the emergency department in South Korean by using the universities' internet homepage, finally 30 universities were researched by removing the universities which doesn't upload the curriculum on their homepage, have emergency department or have nursing department. The research data were collected and analyzed by using the universities' internet homepage. The Keyword is 'Disaster', 'Catastrophe', and 'Emergency' to search the name of the subjects. The curriculum calculated as a percentage of frequency by using the status of disaster-related subjects opening, classification of major education, grade, credit, number of class, practical hours, and the total number of subjects. According to the study, 29 universities (96.7%) of emergency department and 19 universities (63.3%) of nursing department has the disaster-related subjects in their curriculum. The current status of the class opening is emergency department at second grade and nursing department as fourth grade. As a subject of major, two credits are the common class credits. Based on the results of the study, knowledge and skills and training courses are necessary to develop the ability to cope with disasters in the disaster field. The curriculum that matches the role of health care resources will be required.

• Korean Journal of Environment and Ecology
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• v.33 no.5
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• pp.552-564
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• 2019

The purpose of this study was to investigate vegetation characteristics of evergreen broad-leaved forests in the area of Duryunsan Provincial Park, where the deciduous broad-leaved trees and evergreen broad-leaved trees are mixed and thus had a high botanical value. To investigate the vegetation characteristics, we installed 40 quadrats with an area of $100m^2$ each for survey and analysis. Haenam-gun, where the Duryunsan Provincial Park is located, is a warm-temperate forest region. The meteorological data for the past 40 years showed a coldness index of $-8^{\circ}C$, a monthly warmth index of $109.2^{\circ}C$, and annual mean precipitation of 1,310.5mm, indicating it is an ideal habitat for the distribution of evergreen broad-leaved forest. The results of community classification based on TWINSPAN showed three categories of vegetation communities in the surveyed region: Quercus acuta community-I, Q. acuta community-II, and Neolitsea sericea-Aphananthe aspera community. In the evergreen broad-leaved forest in the Duryunsan Provincial Park, Q. acuta dominant in the canopy were expanding their presence in the understory. In addition to the Q. acuta, N. sericea and Cinnamomum yabunikkei, which are evergreen broad-leaved trees of the canopy, were found in all layers. The deciduous broad-leaved trees such as Q. variabilis, Q. serrata, and Carpinus tschonoskii were culled, and the transition to Q. acuta evergreen broad-leaved trees was ongoing. N. sericea community appeared locally. The species diversity index of N. sericea-A. aspera community was lower at 1.0798 than that of Q. acuta Community-I at 1.3208 and Q. acuta Community-II at 1.4916.

• Asian Journal of Turfgrass Science
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• v.23 no.2
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• pp.253-264
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• 2009

The purpose of seed certification is to preserve the genetic purity and identity of seed varieties. This study is to provide information concerning seed certification procedures and certification standards of Kentucky bluegrass especially used in golf courses. We analyzed data from the seed certification standards of three states (Washington, Idaho and Oregon) in U.S.A. The certification processes both field inspection and laboratory requirement satisfying the minimum seed quality standards. The seed harvesting field must be propagated with the specified class of seeds and requires an adequate isolated distance from other crops. Moreover, the field should be clean and free from the objectionable weeds. The seed analysis tests include a germination rate, a percentage of pure seed, contents of other crop seed, weed seed, and inert matter. The certification standards of the certified seed and the sod quality seed showed general similarity in all three states. The certification standards of the sod quality seed should have less than 0.02% of maximum weed seed. The certified seed should have less than 0.3% of maximum weed seeds. Those certification standards of seed quality should guaranty the quality of turfgrass establishment of golf course.

• Journal of Convergence for Information Technology
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• v.9 no.12
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• pp.115-123
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• 2019

This is descriptive study to 2nd analysis data KNHANES IV-VI about risk factors of readmission among patients with cardiovascular disease. Among the total 65,973 adults, 1,037 with angina or myocardial infarction were analyzed. The analysis was conducted using SPSS window 21 Program and CHAID decision tree was used in the classification analysis. Root nodes are economic activity(χ²=12.063, p=.001), children's nodes are personal income(χ²=6.575, p=.031), weight change(χ²=12.758, p=.001), residential area(χ²=4.025, p=.045), direct smoking(χ²=3.884, p=.031). p=.049), level of education(χ²=9.630, p=.024). Terminal nodes are hypertension(χ²=3.854, p=.050), diabetes mellitus(χ²=6.056, p=.014), occupation type(χ²=7.799, p=.037). We suggest that the development and operation of programs considering the integrated approach of various factors is necessary for the readmission management of cardiovascular patients.

• Journal of The Korean Society of Clinical Toxicology
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• v.17 no.2
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• pp.108-117
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• 2019

Purpose: The study examined the poisoned patients' characteristics nationwide in Korea by using data from the National Emergency Department Information System (NEDIS). Methods: Among the patients' information sent to NEDIS from January 1, 2013 to December 31, 2015, the included subjects' main diagnosis in ED showed poisoning according to the 7th edition of the Korean Standard Disease Classification (KCD-7). We analyzed the patients' gender, age, initial vital signs, visit time, stay time of staying in ED, results of ED care, main diagnosis in ED, length of hospitalization, and results of hospitalization. Results: A total of 106,779 ED visits were included in the analysis. There were 55,878 males (52.3%), which was more than the number of females. The number of intentional poisoning was 49,805 (59.6%). 75,499 cases (70.8%) were discharged, and 25,858 cases (24.2%) were hospitalized. The numbers of poisoning patients per 1,000 ED visits were 14 in Chungnam and 11.9 in Jeonbuk. The most common cause of poisoning, according to the main diagnosis, was venomous animals. It was the same for hospitalized patients, and pesticide was next. Pesticide was the most common cause of mortality in ED (228 cases, 46.1%) and after hospitalization (584 cases, 54.9%). The incidence of poisoning by age group was frequent for patients in their 30s to 50s, and mortality in ED and post-hospitalization were frequent for patients in their 60s to 80s. Conclusion: This study investigated the characteristics of poisoning patients reported in the past 3 years. Pesticide poisoning had a high mortality rate for patients in ED and in-hospital. For mortality, there was a high proportion of elderly people over 60. Thus, policy and medical measures are needed to reduce this problem. Since it is difficult to identify the poison substance in detail due to nature of this study, it is necessary to build a database and monitoring system for monitoring the causative substance and enacting countermeasures.

• Journal of Korean Tunnelling and Underground Space Association
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• v.24 no.6
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• pp.583-598
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• 2022

As human-based tunnel inspections are affected by the subjective judgment of the inspector, making continuous history management difficult. There is a lot of deep learning-based automatic crack detection research recently. However, the large public crack datasets used in most studies differ significantly from those in tunnels. Also, additional work is required to build sophisticated crack labels in current tunnel evaluation. Therefore, we present a method to improve crack detection performance by inputting existing datasets into a deep learning model. We evaluate and compare the performance of deep learning models trained by combining existing tunnel datasets, high-quality tunnel datasets, and public crack datasets. As a result, DeepLabv3+ with Cross-Entropy loss function performed best when trained on both public datasets, patchwise classification, and oversampled tunnel datasets. In the future, we expect to contribute to establishing a plan to efficiently utilize the tunnel image acquisition system's data for deep learning model learning.

• Journal of Korean Society of Forest Science
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• v.110 no.4
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• pp.516-529
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• 2021

Coniferous forests in the Baekdudaegan protected area are gradually losing their landscape diversity and uniqueness along with their ecological stability due to changes in vegetation composition and structures caused by various disturbance factors, such as climate change, vegetation succession, and human interference. This study provides basic data for establishing a comprehensive conservation plan for coniferous forests in the Baekdudaegan protected area. We classified the vegetation unit types using the Zurich-Montpellier School of Phytosociology and two-way indicator species analysis methods and analyzed the species diversity and structural characteristics based on the vegetation information of 755 stands collected in the natural resources change survey of the Baekdudaegan mountains (2016 to 2020) by the Korea Forest Service. Therefore, the vegetation of the coniferous forests of theBaekdudaegan protected area was classified into 15 types under the vegetation unit hierarchy of two community groups, four communities, seven sub-communities, and 14 variants. Furthermore, we compared the total coverage among vegetation types, importance values, constancy classes, life-forms, and diversity indices. Additionally, the average total coverage and number of species per 100 m² of all coniferous forests were 232% and 21 species, respectively, with the species diversity and dominance indices averaging 1.907 and 0.222, respectively.

• Journal of the Korea Convergence Society
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• v.12 no.9
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• pp.11-19
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• 2021

A software system is required to change during its life cycle due to various requirements such as adding functionalities, fixing bugs, and adjusting to new computing environments. Such program code modification should be considered as carefully as a new system development becase unexpected software errors could be introduced. In addition, when reusing open source programs, we can expect higher quality software if code changes of the open source program are predicted in advance. This paper proposes a Convolutional Neural Network (CNN)-based deep learning model to predict source code changes. In this paper, the prediction of code changes is considered as a kind of a binary classification problem in deep learning and labeled datasets are used for supervised learning. Java projects and code change logs are collected from GitHub for training and testing datasets. Software metrics are computed from the collected Java source code and they are used as input data for the proposed model to detect code changes. The performance of the proposed model has been measured by using evaluation metrics such as precision, recall, F1-score, and accuracy. The experimental results show the proposed CNN model has achieved 95% in terms of F1-Score and outperformed the multilayer percept-based DNN model whose F1-Score is 92%.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.12-23
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• 2021

This study organizes policy tasks currently being promoted by the government to revitalize the domestic VR and AR industries, which are evaluated to be stagnant compared to major overseas countries, and aims to derive priorities through analysis of an AHP survey for experts in the VR/AR field, and to seek countermeasures based on the analysis results. As a result of classification based on various previous studies, press releases, and policy data, it was divided into 5 major categories and 16 sub-categories: technical issues, awareness improvement, legal/institutional improvement, government support, and manpower development. As a result of the AHP analysis, in the major category, the "government support" appeared as the top priority policy task, followed by the "manpower development". In the sub-categories, "training new manpower" was the most important policy implementation task, followed by "enhancing technological competitiveness". This study is meaningful in that it selects and presents prioritized policy tasks that clearly reflect the position and perspective of the industry on the policy-making situation exposed to the limitations of time and resources, while also presenting practical improvement plans.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.299-311
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• 2021

The purpose of this study is to analyze the ripple effect of the Chinese education industry on the national economy by using the industry-related table of 2017 by the China Statistical Office to use it as policy data for revitalization of the Chinese education industry in the future. To achieve this purpose, 149 industries in the basic classification of the industry-related table were classified into 32 industries. Based on these classifications, by analyzing the production induction coefficient, sensitivity coefficient, influence coefficient, yield inducement coefficient, production tax induction coefficient, and labor induction coefficient, etc. The purpose of this study is to understand the relationship between different industries and to find out the economic impact of the Chinese education industry. The analysis results show that in 2017, the total production induction coefficient of China's education industry was 1.7188, the row total was 1.0626, the sensitivity coefficient was 0.01211, the influence coefficient was 0.01958, the income induction coefficient was 0.6667, the production tax induction coefficient was 0.035, and the final demand was 1 billion yuan. When this occurs, the labor induction coefficient shows a total of 31,254 persons (indirect 15,541 persons, direct 15,713 persons). Based on the analysis results, this study suggested the implications that government support, technology introduction and application of new operating models, policy regulations, and efficient supervision of the system and president are required for further development of the Chinese education industry.