• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.452-462
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• 2020

This study analyzed the impact of resilience on the job satisfaction of middle-aged employees and the meditating effect of retirement attitude. The survey was administered to 468 regular workers aged 40 or older in Seoul and the surrounding metropolitan area. This study utilized SPSS 19.0 statistical program, and multiple regression and mediated effect analyses were applied with descriptive statistics, reliability and validity of measurement tools to analyze differences between correlations and groups. First, male workers had higher self-regulation ability and job satisfaction than women. Female workers had higher old age rest than male ones. The higher the educational background, the higher the recognition of retirement as a new beginning, The longer the working years, the higher the self-regulation ability and job satisfaction. The higher the household income, the higher the positiveness. Second, the Resilience had a positive effect on job satisfaction. Third, resilience had had a negative impact on the forced frustration and a positive influence on the new beginning of retirement attitudes. Fourth, the forced frustration and new beginning showed mediating effects of resilience and job satisfaction. The study results confirmed the importance of resilience and demonstrated the need for measures to enhance resilience in order to reduce anxiety about retirement and increase job satisfaction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.8
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• pp.370-377
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• 2018

Currently, Korea is ahead of the forest sector such as forest management, forest investigation and forest management, which is not insufficient compared with the forest advanced countries (Germany, Japan, Austria). However, there is a lack of systematic and advanced forest management plan and related research, and it is not enough to construct GIS for practical and complex analysis. Therefore, in order to perform forest analysis effectively, this study maps forest basic statistics (2010, 2015) based on GIS to map forest information. As a result, the forest area, growing stock, average growing stock, and forest rate could be produced with the maximized visual effect by detailed administrative districts, and systematic analysis of the time series changes was also possible. Forest area increased only in Goseong, Sejong, Cheolwon, Yeoncheon, Daejeon, and Seoul Guro-gu, and decreased in all other areas, while growing stock increased in most areas, Uljin, Ulleung, Seoul Nowon-gu, and Seoul Gangdong-gu. The average growing stock was found to increase in most areas excluding the four administrative districts and the forest rate was higher in 10 regions (Goseong, Yeoncheon, Gongju, Busan Dong-gu, Daegu Seo-gu, etc.) but it decreased in most regions excluding 10 regions. Based on this research, we plan to produce and analyze forest information maps for smaller administrative districts and more.

• The Korean Journal of Applied Statistics
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• v.33 no.5
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• pp.615-625
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• 2020

The document-term frequency matrix is a term extracted from documents in which the group information exists in text mining. In this study, we generated the document-term frequency matrix for document classification according to research field. We applied the traditional term weighting function term frequency-inverse document frequency (TF-IDF) to the generated document-term frequency matrix. In addition, we applied term frequency-inverse gravity moment (TF-IGM). We also generated a document-keyword weighted matrix by extracting keywords to improve the document classification accuracy. Based on the keywords matrix extracted, we classify documents using a deep neural network. In order to find the optimal model in the deep neural network, the accuracy of document classification was verified by changing the number of hidden layers and hidden nodes. Consequently, the model with eight hidden layers showed the highest accuracy and all TF-IGM document classification accuracy (according to parameter changes) were higher than TF-IDF. In addition, the deep neural network was confirmed to have better accuracy than the support vector machine. Therefore, we propose a method to apply TF-IGM and a deep neural network in the document classification.

• The Journal of Korean Academy of Sensory Integration
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• v.12 no.2
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• pp.13-24
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• 2014

Objective : The purpose of this research is to choose scissoring, handling chopsticks, wearing a jacket with buttons as a significant subject in order to understand relations between writing ability of a preschool child and functional achievement ability. Methods : The subjects are 66 preschool children under the age of 5. The research has conducted for 1 week by using writing test, scissoring, handling chopsticks, wearing a jacket with buttons as an indicator of valuation. We collected statistics by using program called SPSS WIN 14.0 for the process of analysis. Results : The score of writing ability which is one of the common characteristic of subject has a significant difference in terms of statistics according to the gender. the score of girls are higher($13.33{\pm}2.55$) than boys($11.92{\pm}2.52$). Writing ability has a significant relativity with the achievement ability of scissoring(r=0.244, p=0.048),handling chopsticks(r=0.403, p=0.001), achievement ability in terms of statistics. Conclusion : A significant difference between writing ability according common characteristics of children is showed based on the gender. writing ability has a significant relativity with the achievement ability of scissoring, handling chopsticks, achievement ability.

• Journal of the Korean Data and Information Science Society
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• v.28 no.4
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• pp.743-754
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• 2017

Assessing bioequivalence between original drug and generic drug is traditionally based on $2{\times}2$ crossover design. As bioequivalence trials for highly variable drugs are getting popular, the required sample size based on $2{\times}2$ crossover design would be very large, which might cause the ethical concerns. Regulatory agencies like EMA and MFDS recommended higher order crossover designs such as $2{\times}4$, $4{\times}2$ and $4{\times}4$ crossover designs. Alternatively, a $2{\times}3$ dual design may be recommended in terms of economical and ethical points of view in comparison with the $2{\times}4$ crossover design for highly variable drug. In this study, we consider some statistical characteristics of $2{\times}3$ dual design and propose statistical procedures for calculating sample size and assessing bioequivalence based on $2{\times}3$ dual design. We also discuss the proposed procedures from the perspective of newly revised bioequivalence guidance issued by MFDS.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.9
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• pp.156-166
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• 2019

For this study, a survey was conducted with the employees of small and medium-size enterprises (SMEs) located in Seoul and in Gyeonggi province. In the end, a total of 328 valid questionnaires were received and used in the analysis. The data of this study were analyzed using two statistics programs: SPSS Statistics 22.0 and AMOS 22.0. As for the method to verify the hypothesis, we used a structural equation model. The key findings of this study are as follows. First, the results of correlation analysis between management strategy factors, innovation activities, and business performance showed that the factors that were at a higher level of correlation were the technology differentiation strategies, marketing differentiation strategies, and the cost-driven strategy. Second, the strategic management factors that influenced innovation activities were in the following order: marketing differentiation, technology differentiation, and the cost-driven strategy, while the valid factors that affected business performance with significance were only the marketing differentiation strategy and the cost-driven strategy. Third, while the analysis showed that the technology differentiation strategy did not have a direct effect on business performance, it was shown that the relationship between the technology differentiation strategy and business performance was completely mediated by innovation activities.

• Journal of the Economic Geographical Society of Korea
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• v.1 no.2
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• pp.21-42
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• 1998

This paper aims at examining the regional comparison of the business organization of retailing in the Seoul and Taegu metropolitan areas, as an attempt to understand regional structure of retailing within metropolitan areas which represents the suburbanization. On the national level, retail sales have concentrated on larger metropolitan area, the Seoul metroplitan area, the first largest metropolitan area, having higher sales for population scale. While the Taegu metropolitan area, the third largest metropolitan area, appears to lower retail sales for population scale. In order to confirm such phenomenon, this paper is to analyze and to compare the industrial composition of retailing by industry in 1991 of Seoul with that of Taegu. And this paper is to analyze the regional comparison of business organization of retailing: the percents of establishments under four employees, of juridical establishments, of employees of ordinary times, the annual sales per establishment of retailing. And the characteristics of business organization of retailing by industry are analyzed by principal components analysis, and the explanation of the types with component in each district(city, county, ward) is analyzed by cluster analysis(Ward method). The data of 1991 were obtained from the statistics in the Report on Establishment Census(Vol.3 Wholesale and Retail Trade) published by the National Statistics Office. The results are as follows: 1. The composition of retailing by industry in Seoul metropolitan area by annual sales in 1991 is characterized as appeared very higher composition rates of retailing of textiles, clothing, footwear and apparel accessaries', ‘retailing of furniture, home furnishings and equipment’, retailing of jewellery and watches’, ‘retailing of printed matter and stationery’, ‘retailing of personal transport equipment and gasoline service stations’, and ‘general merchandise stores’. But in Taegu metropolitan area, ‘retailing of food, beverages and tobacco’, ‘retailing of drugs, cosmetics and other chemical goods’, 'retailing household fuel’, and ‘genernal retail trade, n.e.c.’appears very high. Therefore Seoul metropolitan area has larger business scale and retailing of shopping goods has developed than Taegu metropolitan area.

• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.295-304
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• 2013

This study aims to examine the level of fear and the influential factors affecting their dental fear and to utilize the result as the basic materials in the dental management. The subjects were the students from a middle school located in Cheongju-City. The school was selected by convenient sampling and self-answered questionnaire was filled in by the students for a week from December 19th 2011. The survey result showed that 77 male students and 169 female students(total 246 students) answered 'yes' to the question 'Have you ever felt fear when you visited a dentist?' among 475 students who had visited a dentist in the past. The distribution of responses in each category of fear was examined by frequency analysis. The study results showed significant difference in the item of 'causing irritation during the dental treatments' between male students and female students (p<0.05). Converting the level of fear into scores after marking the answers, the score of male students was 52.0 points and the score of female students was 58.53 showing the score of female students was significantly higher in statistics. Moreover, the fear score of female students for the category 'causing irritation during the dental treatments' was also significantly higher in statistics(p<0.05). Therefore, these results should be reflected to the dental care environments in order for the adolescent to reduce the dental anxiety and fear.

• Journal of Korean Academy of Oral Health
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• v.42 no.4
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• pp.216-223
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• 2018

Objectives: The purpose of the study was to investigate factors affecting the assessment of objective and subjective masticatory ability in the elderly, and to evaluate masticatory ability assessment more accurately. Methods: A total of 112 participants were recruited after oral examination in senior citizen welfare facilities. The participants' masticatory ability was evaluated objectively (Mixing ability index; MAI), and subjectively (Key food intake ability; KFIA). Participants' general characteristics and oral health-related variables were also recorded. Based on masticatory ability assessment, participants were classified as either high or low. IBM SPSS Statistics Ver.23.0 was used for all analyses, including descriptive statistics, Chi-square test, Mann-Whitney U test, Spearman rank correlation, and Logistic regression analysis. Results: Higher masticatory ability was positively correlated with higher scores on MAI and KFIA. Additionally, there was a significant positive correlation between MAI and KFIA. When analyzing factors affecting objective and subjective masticatory ability assessments, Functional tooth units (FTUs) were revealed as a related factor. In subjective masticatory ability assessment, oral moisture, difficulty in chewing, and the Geriatric Oral Health Assessment Index (GOHAI) were also influential factors. Conclusions: In order to accurately assess masticatory ability, it is necessary to use both objective and subjective measures. Additionally, to improve the masticatory ability in the elderly, treatment should be provided to improve overall oral health and satisfaction.

• Studies on Life and Culture
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• v.52
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• pp.225-248
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• 2019

This study examines the variables affecting the cyberbullying of adolescents. The purpose of this study is to analyze the difference of variables that personal, domestic environmental, school environment, digital media factors, and more specifically, gender differences. In order to achieve the purpose of the study, we used 811 online survey data of youths with smart phones nationwide. The results of technical statistics, T-test, correlation analysis and multiple regression analysis can be summarized as follows. First, the descriptive statistics showed that male cyberbullying scores were higher than female students, and t-test results were statistically significant. Second, multiple regression analysis including gender variables showed that male cyberbullying was higher than female students. Finally, multiple regression analysis of male and female students showed that the variables affecting the cyberbullying of boys and girls were somewhat different. The common causative variables were 'parental stress', 'peer attachment', and 'game addiction'. The direction was statistically significant (+) direction. The causes of 'depression', 'aggression', and 'SNS addiction' were different among males and females were 'academic stresses', suggesting that there are differences in cyberbullying factors according to gender.