• Journal of Information Technology Applications and Management
• /
• v.26 no.3
• /
• pp.43-59
• /
• 2019

The goal of this paper is to investigate changes in North Korea's domestic and foreign policies through automated text analysis over North Korean new year addresses, one of most important and authoritative document publicly announced by North Korean government. Based on that data, we then analyze the status of text mining research, using a text mining technique to find the topics, methods, and trends of text mining research. We also investigate the characteristics and method of analysis of the text mining techniques, confirmed by analysis of the data. We propose a procedure to find meaningful tendencies based on a combination of text mining, cluster analysis, and co-occurrence networks. To demonstrate applicability and effectiveness of the proposed procedure, we analyzed the inaugural addresses of Kim Jung Un of the North Korea from 2017 to 2019. The main results of this study show that trends in the North Korean national policy agenda can be discovered based on clustering and visualization algorithms. We found that uncovered semantic structures of North Korean new year addresses closely follow major changes in North Korean government's positions toward their own people as well as outside audience such as USA and South Korea.

• Safety and Health at Work
• /
• v.11 no.1
• /
• pp.1-9
• /
• 2020

Background: As the impact of climate change intensifies, exposure to heat stress will grow, leading to a loss of work capacity for vulnerable occupations and affecting individual labor decisions. This study estimates the future work capacity under the Representative Concentration Pathways 8.5 scenario and discusses its regional impacts on the occupational structure in the Republic of Korea. Methods: The data utilized for this study constitute the local wet bulb globe temperature from the Korea Meteorological Administration and information from the Korean Working Condition Survey from the Occupational Safety and Health Research Institute of Korea. Using these data, we classify the occupations vulnerable to heat stress and estimate future changes in work capacity at the local scale, considering the occupational structure. We then identify the spatial cluster of diminishing work capacity using exploratory spatial data analysis. Results: Our findings indicate that 52 occupations are at risk of heat stress, including machine operators and elementary laborers working in the construction, welding, metal, and mining industries. Moreover, spatial clusters with diminished work capacity appear in southwest Korea. Conclusion: Although previous studies investigated the work capacity associated with heat stress in terms of climatic impact, this study quantifies the local impacts due to the global risk of climate change. The results suggest the need for mainstreaming an adaptation policy related to work capacity in regional development strategies.

• Journal of Families and Better Life
• /
• v.31 no.4
• /
• pp.97-111
• /
• 2013

The purpose of this study was to explore the typology of child care, investigate the characteristics of child care types, and analyze the differences in time deficit as well as time satisfaction by the types of child care for dual-earner couples with preschool children. The data source for this research was the 2009 Time Use Survey conducted by the Korea National Statistical Office. Dual-earners aged 20 to 59 years completed 1,568 time diaries, which were analyzed using chi-square, cluster analysis, and ANOVA analysis. Child care time was classified into three types in the three categories of child care, household work sharing and leisure sharing for both males and females respectively. Three types for husbands were named "vulnerable", "household work child care predominant" and "leisure predominant". The three types for wives were named "vulnerable", "household work child care oriented" and "household work child care". The characteristics of each type depended on age, education, weekly working hours, gender role of husbands and age, weekly working hours of wives. The vulnerable type of wives showed the highest level of time deficit. Based on the results, implications for Public policy on child care and various types of education as well as programs were suggested.

• Journal of Digital Convergence
• /
• v.11 no.11
• /
• pp.343-349
• /
• 2013

Rough set theory comes to derive optimal rules through the effective selection of features from the redundancy of lots of information in data mining using the concept of equivalence relation and approximation space in rough set. The reduction of attributes is one of the most important parts in its applications of rough set. This paper purports to define a information-theoretic measure for determining the most important attribute within the association of attributes using rough entropy. The proposed method generates the effective reduct set and formulates the core of the attribute set through the elimination of the redundant attributes. Subsequently, the control rules are generated with a subset of feature which retain the accuracy of the original features through the reduction.

• Fashion & Textile Research Journal
• /
• v.11 no.1
• /
• pp.57-65
• /
• 2009

The purpose of this study was to investigate the effects of cognitive age, service quality, and consumer satisfaction on repurchase intention according to silvers' lifestyle types in the hairdressing shop. Data were obtained from 853 women in the 50's and 60's who living in Busan. Data were analyzed by factor analysis, Cronbach's alpha, cluster analysis and path analysis using SPSS WIN 12.0 and LISREL 8.53. The results of the study were as follows: First. silver consumers were classified by the lifestyle into the Active self-fidelitist, Economy family-oriented, and Passive-stagnant. Service quality of hairdressing shop were consisted of Personal Service, Facilities Service, Skill Service, and Policy Service. Second, according to silvers' lifestyle types, repurchasing intention was differently influenced by cognitive age, perceived store service quality, and consumer satisfaction when hairdressing services. Hairdressers were the most important variable for silver consumers' satisfaction, which influenced the repurchase intention of hairdressing services.

• Journal of Digital Convergence
• /
• v.15 no.2
• /
• pp.511-518
• /
• 2017

The purpose of this study was to investigate the typology of response to unwanted sexual request, and find the characteristics according to the types. For this purpose, 332 college female students were surveyed. As a results, two group were identified through cluster analysis: assertive type and compliant type. Compliant type had more sexual experiences, consensual unwanted sex, reasons for sexual compliance. Furthermore, compliant type had more unstable attachment, rejection sensitivity, and loneliness. Implications related with prevention and education program for the high risk compliant group were discussed and ideas for health, education, psychological experts were suggested.

• The Journal of the Korea Contents Association
• /
• v.17 no.9
• /
• pp.12-20
• /
• 2017

This study aim to analyze the differences of the technology support on ICT SMEs conducted by ETRI - a government funded research institute. To collect the data, 167 beneficiaries participated in the survey and we classified them as 3 groups using cluster analysis. Then, we conducted ANOVA to verifying the differences among 3 groups. Results show that companies belonging to the higher revenue size groups have a highly effective technical support, while companies belonging to the lower revenue size groups have a highly effective information offering.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.10
• /
• pp.147-158
• /
• 2021

Due to COVID-19, the risk of price volatility in commodity and equity markets increases. The research and application of hedging is the most effective way to reduce the market risk. Hedging is a risk management strategy employed to offset losses in investments by taking an opposite position in a related asset. We use K-means and hierarchical clustering methods to cluster companies and futures products respectively, and analyze the relationship between the number of hedging firms, regional distribution, nature of firms, capital distribution, company size, profitability, number of local Futures Commission Merchants (FCMs), regional location, and listing time. The study shows that listed companies with large scale and good profitability invest more money in hedging, while state-owned enterprises' participation in hedging is more likely to be affected by the company size and the number of local futures commission merchants, and private enterprises are more likely to be affected by the company profitability and the regional location. Listed companies are more willing to choose long-listed and mature futures products for hedging. We also provide policy advice based on our conclusion. So far, there is no study on the characteristics of hedging. This paper fills the gap. The results provide a basis and guidance for people's investment and risk management. Using clustering analysis in hedging study is another innovation of this paper.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.5
• /
• pp.345-354
• /
• 2021

With the evolution of containerization and globalization of supply chains, aspects of port functions have made the transition from the sea to the inland region that forms the dry port. To explore the relationship between dry ports and regional economic development, this study uses a gravity model and forecast model to analyze 1,040 observations in 104 cities (22 dry port cities) along the Yangtze River Economic Belt (YREB) from 2008 to 2017. The model includes economic variables, logistics variables, foreign relations variables, and human capital variables. It was found that the dry port is positively correlated with trade volume. Compared with a city without a dry port, the trade volume of a city with a dry port will increase 0.099 times. It can be concluded that a dry port is crucial for the economic development of the YREB. It was also found that per capita GDP as an economic variable, road area and rail number as logistics variables, and foreign relation variables are positively correlated with trade volume, while the human capital variable has no significant effect on trade volume. In addition, governmental policy implications are addressed from the aspects of dry port and industry cluster caused by foreign investment.

• Journal of Korea Planning Association
• /
• v.53 no.7
• /
• pp.5-22
• /
• 2018

While the competitiveness of small and medium sized cities has become important for balanced development at the national scale, they have experienced continuous decline in population and employment, particularly those in non-capital regions. In addition, some of small and medium sized cities have been classified into shrinking cities that have declined due to their long-term structural reasons. To address these issues, a regional approach, by which a hub city and its surrounding small and medium sized cities can collaborate has been suggested. Given this background, the purpose of this study is to identify and delineate hub cities and their impact areas by using travel data as a functional network index. This study uses a centrality index to identify the hub cities of small and medium sized cities and Markov-chain model and cluster analysis to delineate regional boundaries. The mean first passage time (MFPT) generated from the Markov-chain model can be interpreted as functional distance of each region. The study suggests a methodological approach delineating the boundaries of regions incorporating functional relationships of hub cities and their impact areas, and provides 59 hub cities and their impact areas. The results also provide policy implications for regional spatial planning that addresses appropriate planning boundaries of regions for enhancing the economic competitiveness of small and medium sized cities and ensuring services for shrinking cities.