• Title/Summary/Keyword: 사회·경제적 특성

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교실은 어떻게 '스마트'해지는가?

  • JEONG, Hanbyul
    • Journal of Science and Technology Studies
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    • v.19 no.3
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    • pp.201-246
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    • 2019
  • Information technology is sometimes considered as a cause that puts education in a big crisis, or it can be seen as a savior. In 2011, the Korean government announced that it would innovate education and build a talented nation by bringing IT into schools of public education system through the SMART education policy. The policy initiative aimed to establish a standard classroom models that can be diffused all over the country's schools so that teachers and students may become familiar of using devices such as tablet PCs and laptops. This paper analyzes how the smart classrooms caused friction in the actual education practices. To this end, I analyzed the direction and ideals of the SMART education policy by reading government policy document and design guidelines officially published, and visited three elementary schools that are actually building and operating a smart classroom environment to visit the facilities and have in-depth interviews with teachers and technicians. The ideal type of classroom proposed by the smart education policy was a package equipped with various functions at once in a neatly designed space like a "model house", but it was difficult to be used as a normal classroom in everyday life of school. Instead of copying and installing the model, each school decided to get "smart" in its own way, depending on how factors such as size, local characteristics, socioeconomic conditions of students and teachers, teacher experiences, and the level of existing infrastructure were combined. In Elementary School A, the machines tamed specific space of the school to create their own space, while following the rules of the school for being mobile. Although Elementary School B could not construct fully supported environment that encompassed the entire school, the system was organized with the help of well trained teacher's experiences in other schools. In Elementary School C, the machines are concentrated on specific classrooms and they promote teacher's professionalism. The components of the smart classroom were disassembled and recombined in context to make each school's classroom "smart".

Influencing Factors to Enrollment in Private Health Insurance and Medical Use by Life Cycle : Analysis of 2016-2019 Korea Welfare Panel (생애주기별 민간의료보험 가입 영향 요인 및 의료이용 행태 : 2016~2019년 한국복지패널자료를 사용하여)

  • Kim, Ji-On
    • Journal of Convergence for Information Technology
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    • v.11 no.10
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    • pp.194-204
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    • 2021
  • This study was conducted to find out the status and factors of private health insurance subscriptions by life cycle and to identify differences in medical usage behavior by life cycle. Using the SPSS 26 program as the 12th-15th (2016-2019) data of the Korea Welfare Panel, the difference subscriptions was identified as Chi-square by demo social and health characteristics of 58,223 people, and the factors affecting subscription were analyzed by polynomial logistic analysis and average analysis was performed for medical use behavior. As a result of the analysis, the biggest factor in purchasing private health insurance was household income, private health insurance coverage is the highest in growth period, and multiple subscriptions were made depending on household income. In youth, household income, spouse, and no disability, and middle age, household income, economic activities, spouses, and health levels were largely influential factors. The rate of private health insurance coverage in old age was the lowest, and low-income households, poor health levels, and people with disabilities were lower. The increase in medical use by private health insurance subscribers also occurred during growth and youth. It is necessary to strengthen the national health insurance coverage, and the role of private health insurance to supplement it should be established in time for the life cycle to complement each other, eliminating blind spots of medical security and maximizing people's health and well-being.

Analysis of effect of hydrogen jet fire on tunnel structure (수소 제트화염이 터널 구조체에 미치는 영향 분석)

  • Park, Jinouk;Yoo, Yongho;Kim, Whiseong
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.23 no.6
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    • pp.535-547
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    • 2021
  • A policy to expand the hydrogen economy has been established in Korea and the supply of FCEV is being expanded to realize a hydrogen society. Therefore, the supply of FCEV is expected to increase rapidly, and a solution to respond to accidents of FCEV is required. In this study, an experimental study was conducted to analyze the effect of the hydrogen jet flame generated by a FCEV on the inner wall of the tunnel and the characteristics of the internal radiant heat. For the experiment, the initial pressure of hydrogen tank was set to 700 bar, and the injection nozzle diameter was set to 1.8 mm in order to make the same as the conditions generated in the FCEV. In addition, a tunnel fire resistance test specimen having the same strength as the compressive strength of concrete applied to general tunnels of 40 MPa was manufactured and used in the experiment. The results were analyzed for the separation distance (2 m and 4 m) between the hydrogen release nozzle and the tunnel fire resistance test concrete. As the result, the maximum internal temperature of the test concrete was measured to 1,349.9℃ (2 m separation distance), and the radiant heat around the jet flame was up to 39.16 kW/m2.

Trip Assignment for Transport Card Based Seoul Metropolitan Subway Using Monte Carlo Method (Monte Carlo 기법을 이용한 교통카드기반 수도권 지하철 통행배정)

  • Meeyoung Lee;Doohee Nam
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.2
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    • pp.64-79
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    • 2023
  • This study reviewed the process of applying the Monte Carlo simulation technique to the traffic allocation problem of metropolitan subways. The analysis applied the assumption of a normal distribution in which the travel time information of the inter-station sample is the basis of the probit model. From this, the average and standard deviation are calculated by separating the traffic between stations. A plan was proposed to apply the simulation with the weights of the in-vehicle time of individual links and the walking and dispatch interval of transfer. Long-distance traffic with a low number of samples of 50 or fewer was evaluated as a way to analyze the characteristics of similar traffic. The research results were reviewed in two directions by applying them to the Seoul Metropolitan Subway Network. The travel time between single stations on the Seolleung-Seongsu route was verified by applying random sampling to the in-vehicle time and transfer time. The assumption of a normal distribution was accepted for sample sizes of more than 50 stations according to the inter-station traffic sample of the entire Seoul Metropolitan Subway. For long-distance traffic with samples numbering less than 50, the minimum distance between stations was 122Km. Therefore, it was judged that the sample deviation equality was achieved and the inter-station mean and standard deviation of the transport card data for stations at this distance could be applied.

Exploring A Research Trend on Entrepreneurial Ecosystem in the 40 Years of the Asia Pacific Journal of Small Business for the Development of Ecosystem Measurement Framework (「중소기업연구」 40년 동안의 창업생태계 연구 동향 고찰 및 측정모형 개발을 위한 탐색적 연구)

  • Seo, Ribin;Choi, Kyung Cheol;Byun, Youngjo
    • Korean small business review
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    • v.42 no.4
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    • pp.69-102
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    • 2020
  • Shedding new light on the research trend on entrepreneurial ecosystems in the 40-year history of the Asia Pacific Journal of Small Business, this study aims at exploring a potential measurement framework of ecological inputs and outputs in an entrepreneurial ecosystem that promotes entrepreneurship at geographical and spatial levels. As a result of the analysis of research on the entrepreneurial ecosystem in the journal, we found that prior studies emphasized the managerial importance of various ecological factors on the premise of possible causalities between the factors and entrepreneurship. However, empirical research to verify the premised causality has been underexplored yet. This literature gap may lead to unbalanced development of conceptual and case studies that identify requirements for successful entrepreneurial ecosystems based on experiential facts, thereby hindering the generalization of the research results for practical implications. In that there is a growing interest in creating and operating productive entrepreneurial ecosystems as an innovation engine that drives national and regional economic growth, it is necessary to explore and develop the measurement framework for ecological factors that can be used in future empirical research. Hereupon, we apply a conceptual model of 'input-output-outcome-impact' to categorize individual environmental factors identified in prior studies. Based on the model. We operationalize ecological input factors as the financial, intellectual, institutional, and social capitals, and ecological output factors as the establishment-based, innovation-based, and performance-based entrepreneurship. Also, we propose several longitudinal databases that future empirical research can use in analyzing the potential causality between the ecological input and output factors. The proposed framework of entrepreneurial ecosystems, which focuses on measuring ecological input and output factors, has a high application value for future research that analyzes the causality.

Comparative analysis of dietary behavior and nutrient intake of elderly in urban and rural areas for development of "Village Lunch Table" program: Based on 2014 Korea National Health and Nutrition Examination Survey data (농촌 노인의 마을 밥상 개선 프로그램 개발을 위한 도시와 농촌 노인의 식생활 행태 및 영양소 섭취 상태 비교분석 : 2014년 국민건강영양조사 자료를 이용하여)

  • Lee, Youngmi;Choi, Yourim;Park, Hae Ryun;Song, Kyung Hee;Lee, Kyung Eun;Yoo, Chang;Lim, Young Suk
    • Journal of Nutrition and Health
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    • v.50 no.2
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    • pp.171-179
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    • 2017
  • Purpose: We conducted comparative analysis of dietary behavior and food and nutrient intakes of Korean elderly in urban and rural areas using the 2014 Korea National Health and Nutrition Examination Survey (KNHANES). Methods: This study was conducted on 1,239 participants (urban elderly: 867, rural elderly: 372) aged 65 years and over who participated in the health examination and nutrition survey in the 6th 2014 KNHANES. Dietary behaviors, including skipping meals, eating out frequencies, and food and nutrient intakes were analyzed using 24-hour recall data. Analysis of complex sample design data through SPSS 19.0 was used for the analysis. Results: The rate of skipping dinner was higher in urban (6.5%) than in rural elderly (3.6%) (p < 0.05), and the frequency of eating out per week of urban elderly (1.73) was higher than that of rural elderly (1.35) (p < 0.001). The rural elderly consumed a greater amount of grain compared to urban elderly, whereas consumption of water, seaweed food, and dairy products was lower in rural than in urban areas (p < 0.05). The rural elderly consumed significantly less highly unsaturated fatty acids, n-6 fatty acids, phosphorus, iron, vitamin A, carotene, niacin, and vitamin C in comparison with elderly in urban areas. Comparison of the percentages of Dietary Reference Intakes for Koreans (KDRIs) between the two groups showed that intakes of vitamin A and vitamin C were significantly lower in the rural elderly than in urban elderly. Conclusion: The elderly in rural areas showed unbalanced food and nutrient intakes compared to the elderly in urban areas. Therefore, customized nutrition education according to residential areas should be developed and provided to rural elderly to improve their health and nutritional status.

Development of Yóukè Mining System with Yóukè's Travel Demand and Insight Based on Web Search Traffic Information (웹검색 트래픽 정보를 활용한 유커 인바운드 여행 수요 예측 모형 및 유커마이닝 시스템 개발)

  • Choi, Youji;Park, Do-Hyung
    • Journal of Intelligence and Information Systems
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    • v.23 no.3
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    • pp.155-175
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    • 2017
  • As social data become into the spotlight, mainstream web search engines provide data indicate how many people searched specific keyword: Web Search Traffic data. Web search traffic information is collection of each crowd that search for specific keyword. In a various area, web search traffic can be used as one of useful variables that represent the attention of common users on specific interests. A lot of studies uses web search traffic data to nowcast or forecast social phenomenon such as epidemic prediction, consumer pattern analysis, product life cycle, financial invest modeling and so on. Also web search traffic data have begun to be applied to predict tourist inbound. Proper demand prediction is needed because tourism is high value-added industry as increasing employment and foreign exchange. Among those tourists, especially Chinese tourists: Youke is continuously growing nowadays, Youke has been largest tourist inbound of Korea tourism for many years and tourism profits per one Youke as well. It is important that research into proper demand prediction approaches of Youke in both public and private sector. Accurate tourism demands prediction is important to efficient decision making in a limited resource. This study suggests improved model that reflects latest issue of society by presented the attention from group of individual. Trip abroad is generally high-involvement activity so that potential tourists likely deep into searching for information about their own trip. Web search traffic data presents tourists' attention in the process of preparation their journey instantaneous and dynamic way. So that this study attempted select key words that potential Chinese tourists likely searched out internet. Baidu-Chinese biggest web search engine that share over 80%- provides users with accessing to web search traffic data. Qualitative interview with potential tourists helps us to understand the information search behavior before a trip and identify the keywords for this study. Selected key words of web search traffic are categorized by how much directly related to "Korean Tourism" in a three levels. Classifying categories helps to find out which keyword can explain Youke inbound demands from close one to far one as distance of category. Web search traffic data of each key words gathered by web crawler developed to crawling web search data onto Baidu Index. Using automatically gathered variable data, linear model is designed by multiple regression analysis for suitable for operational application of decision and policy making because of easiness to explanation about variables' effective relationship. After regression linear models have composed, comparing with model composed traditional variables and model additional input web search traffic data variables to traditional model has conducted by significance and R squared. after comparing performance of models, final model is composed. Final regression model has improved explanation and advantage of real-time immediacy and convenience than traditional model. Furthermore, this study demonstrates system intuitively visualized to general use -Youke Mining solution has several functions of tourist decision making including embed final regression model. Youke Mining solution has algorithm based on data science and well-designed simple interface. In the end this research suggests three significant meanings on theoretical, practical and political aspects. Theoretically, Youke Mining system and the model in this research are the first step on the Youke inbound prediction using interactive and instant variable: web search traffic information represents tourists' attention while prepare their trip. Baidu web search traffic data has more than 80% of web search engine market. Practically, Baidu data could represent attention of the potential tourists who prepare their own tour as real-time. Finally, in political way, designed Chinese tourist demands prediction model based on web search traffic can be used to tourism decision making for efficient managing of resource and optimizing opportunity for successful policy.

Childhood Obesity and Cardiovascular Health: Using 2010-2012 Data of the Korea National Health and Nutrition Examination Survey (아동기 인구 집단의 비만과 심혈관건강: 제5기 국민건강영양조사 자료 이용)

  • Lee, Go Eun;Choo, Jina
    • Korean journal of health promotion
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    • v.17 no.2
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    • pp.109-118
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    • 2017
  • Background: Abdominal obesity as measured by waist-to-height ratio (WHtR) may have stronger and inverse associations with cardiovascular (CV) health than overall obesity as measured by body mass index (BMI). However, there was some challenges for controversies. We aimed to examine the associations of WHtR and BMI with CV health among Korean children using data of the 2010-2012 Korea National Health and Nutrition Examination Survey. Methods: A cross-sectional study was conducted with the sample of 2,363 children by analyzing by gender and two-age groups (10-12 and 13-18 years). Overall obesity was categorized into 3 groups by BMI percentile: non-overweight (<85), overweight (${\geq}85$), and obesity groups (${\geq}95$). Abdominal obesity was categorized into 2 groups by WHtR: normal (<0.5) and abdominal obesity groups (${\geq}0.5$). The CV health score was defined as a z-score by calculating the sum of 7 CV factors. Results: The overweight/obesity groups had significantly lower CV health scores than the normal group (P<0.05) in boys and girls aged either 10-12 years or 13-18 years after adjusting for covariates. The abdominal obesity group also showed significantly lower CV health scores than the normal group (P<0.05) in all the groups; this significant association remained significant in boys aged 13-18 years even after further adjusting for BMI category (P<0.01). Conclusions: Among boys aged 13-18 years, abdominal obesity as measured by WHtR was significantly and inversely associated with CV health, independent of BMI category. Therefore, it should be considered to assess the level of abdominal obesity as a measure of CV health in late adolescent boys.

A Study of the Application of 'Digital Heritage ODA' - Focusing on the Myanmar cultural heritage management system - (디지털 문화유산 ODA 적용에 관한 시론적 연구 -미얀마 문화유산 관리시스템을 중심으로-)

  • Jeong, Seongmi
    • Korean Journal of Heritage: History & Science
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    • v.53 no.4
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    • pp.198-215
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    • 2020
  • Official development assistance refers to assistance provided by governments and other public institutions in donor countries, aimed at promoting economic development and social welfare in developing countries. The purpose of this research is to examine the construction process of the "Myanmar Cultural Heritage Management System" that is underway as part of the ODA project to strengthen cultural and artistic capabilities and analyze the achievements and challenges of the Digital Cultural Heritage ODA. The digital cultural heritage management system is intended to achieve the permanent preservation and sustainable utilization of tangible and intangible cultural heritage materials. Cultural heritage can be stored in digital archives, newly approached using computer analysis technology, and information can be used in multiple dimensions. First, the Digital Cultural Heritage ODA was able to permanently preserve cultural heritage content that urgently needed digitalization by overcoming and documenting the "risk" associated with cultural heritage under threat of being extinguished, damaged, degraded, or distorted in Myanmar. Second, information on Myanmar's cultural heritage can be systematically managed and used in many ways through linkages between materials. Third, cultural maps can be implemented that are based on accurate geographical location information as to where cultural heritage is located or inherited. Various items of cultural heritage were collectively and intensively visualized to maximize utility and convenience for academic, policy, and practical purposes. Fourth, we were able to overcome the one-sided limitations of cultural ODA in relations between donor and recipient countries. Fifth, the capacity building program run by officials in charge of the beneficiary country, which could be the most important form of sustainable development in the cultural ODA, was operated together. Sixth, there is an implication that it is an ODA that can be relatively smooth and non-face-to-face in nature, without requiring the movement of manpower between countries during the current global pandemic. However, the following tasks remain to be solved through active discussion and deliberation in the future. First, the content of the data uploaded to the system should be verified. Second, to preserve digital cultural heritage, it must be protected from various threats. For example, it is necessary to train local experts to prepare for errors caused by computer viruses, stored data, or operating systems. Third, due to the nature of the rapidly changing environment of computer technology, measures should also be discussed to address the problems that tend to follow when new versions and programs are developed after the end of the ODA project, or when developers have not continued to manage their programs. Fourth, since the classification system criteria and decisions regarding whether the data will be disclosed or not are set according to Myanmar's political judgment, it is necessary to let the beneficiary country understand the ultimate purpose of the cultural ODA project.

Effects of nutrition education on nutrition-related knowledge, dietary habits, and nutrient intakes of alcoholic patients (영양교육이 알코올중독자의 영양지식, 식습관 및 영양섭취상태에 미치는 효과)

  • Kim, An Na;Lim, Hyeon-Sook
    • Journal of Nutrition and Health
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    • v.47 no.4
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    • pp.277-286
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    • 2014
  • Purpose: The aim of this study was to examine the characteristics of nutrition-related knowledge, dietary habits, and nutrient intakes of alcoholic patients and how nutrition education affects these nutritional behaviors. Methods: Subjects included 37 adult male alcoholic patients who were hospitalized. The nutrition education program consisted of five lessons over a five-week period. An each 80-minute nutrition education program per week was implemented for the alcoholic patients over a five-week period. Both before and after the implementation of nutrition education, their nutrition-related knowledge and dietary habits were assessed and nutrient intakes were investigated. Results: The subjects showed drinking habits of considerably high frequency, a large quantity of alcohol consumption, and preference for soju (a liquor) over beer. They had proper weight, height, and BMI, and came from relatively poor socioeconomic backgrounds with a low-level of self-rated health status and a comparatively high rate of suffering from disease. Mean score of their nutrition-related knowledge and dietary habits was quite low. They consumed less energy, dietary fiber, vitamin C, thiamin, riboflavin, folic acid, Ca, and K, but more Na compared to each Dietary Reference Intake (DRI). After implementing the nutrition education, mean score of nutrition-related knowledge and dietary habits showed significant improvement. In addition, the meeting rate of each DRI of several nutrients was increased significantly, including energy, carbohydrate, dietary fiber, vitamins A, C, and $B_6$, thiamin, riboflavin, niacin, pyridoxine, folic acid, Ca, P, K, Fe, and Zn, while that of Na decreased. Conclusion: The findings of this study indicate that alcoholic patients had various nutritional problems, such as lack of nutrition-related knowledge, bad dietary habits, and insufficient nutrient intakes, however, these problems can be positively modified by implementation of a relatively short-term nutrition education program.