• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.4
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• pp.181-194
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• 2019

The purpose of this study is to analyze the problems associated with the domestic fashion sewing industry and suggest solutions for re-development. The research methods are a content analysis of literature, including articles and reports, and interviewing practitioners who are in charge of the fashion industry. The problems of the domestic fashion sewing industry are as follows. 1. Weakness in price competitiveness and a lack of work. 2. Aging of workers and difficulty securing new workers. 3. The age of the production facilities and the lack of manpower required for mass production. 4. Unrealistically low cost of labor due to over-competition considering the lack of work.5. The prevalence of illegal label grinding. The solutions to the problems listed above are as follows. 1. Establishment of a win-win effort between fashion brands and sewing companies. 2. Allow systematic education, support, and development of a meister system for fostering sewing manpower. 3. Undertake efforts to improve the sewing work environment. 4. Establishment of the system for realizing the actual cost of labor. 5. Establishment of a quota system to secure domestic sewing production. 6. Construction of Smart DB to connect work orders. 7. Construction of a smart factory using technology such as automated systems of production suitable for the 4th Industrial Age. 8. Enforcement of specialized strategies to encourage fashion sewing companies, not only Seoul but also in other urban areas.

• Journal of Family Resource Management and Policy Review
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• v.10 no.3
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• pp.131-148
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• 2006

The purpose of this study is to examine the allocation of time between work and leisure by the rural elderly in Korea. The data used for this study are collected from fm households during the peak ($17^{th}\;to\;30^{th}$ June) and off-peak ($28^{th}$ November to $10^{th}$ December) farming seasons of 2005 using time diary. The sample for this study consists of 120 elderly over 65 years old living in rural area in eight provinces. The major findings are as follows. (1) The time spent of farm work by rural elderly in much longer than average work hours of elderly in general regardless of farming season. The indicates that the elderly farmers are the sustaining forces of agriculture as the urban industrial sector absorbs the younger labor force rural area. (2) There are significant differences in the work time(including form work, housework, and farm work plus house work) by gender, age, education, marital status, living arrangements. (3) The rural elderly spends less time in leisure compared to the elderly in general even during the off-peak season. (4) Especially during the peak season, time allocation between work and leisure by the rural elderly is heavily skewed, resulting in an inadequate amount of time for reproduction of labor. (5) There is only significant age difference in the amount leisure time regardless of farming season. (6) Male elderly farmers work approximately 30 minutes to 1 hour longer on farm than the females do, but the total work time (farm work plus housework) of female elderly is longer than that of the male elderly. There is no significant gender difference in the amount of leisure time during the peak season, whereas the men have more leisure than the women during the off-peak season. To conclude, the gender differences in time allocation among the rural elderly are minimal. However, the rural elderly of both genders suffers from excessive work hours and heavy workload compared to the urban counterpart.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.147-153
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• 2019

Recently, the perception of software education, which had been considered as a field of education for programmers in this field, is changing in response to recent changes with the trend of 4th industrial revolution. Major counties competitively invest in software education and the target age group for software education is also on the decline. However, the traditional text-based programing languages such as JAVA and Python, have a high entry barrier. To address the shortcoming, a variety of methods have been recently proposed for the effective software education for kindergarten and elementary school student. In this paper, we propose a robot-based coding education system with steps for coding education for effective software education. The proposed method is divided into three stages, depending on the level of the student being trained in the software coding education to interact with robots. The proposed stages consists of unplugged coding using a remote control, coding using a graphic-based programming language and text- based coding. We conducted an experiment with performing separate missions while providing propoer tutorials for each stage to verify the effectiveness of the proposed software education system.

• Journal of Industrial Convergence
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• v.19 no.3
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• pp.27-34
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• 2021

In the era of the 4th industrial revolution, the age of artificial intelligence, the development of ICT technology is having various effects on the online and offline educational environment. The universal access of online education changes the educational paradigm and converts it to a learner-centered service. At the time when a new educational environment is required to change, interest in flip learning is increasing. Even adult learner's online learning needs is also shown very high. The purpose of this study was to investigate how repetitive learning activities through flip learning for middle-aged online learners of K-Cyber University has a relationship and structural relationship between the effects of learning immersion and learning interest on learning satisfaction. Through this study, there is significance in research to suggest direction for learning satisfaction based on flip learning. For further studies, if a model of analysis of various factors that can be measured is specified and applied, it can be used as a research background that can maximize learning satisfaction based on flip learning.

• Safety and Health at Work
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• v.9 no.4
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• pp.421-426
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• 2018

Background: The purpose of this study was to investigate the effect of shift work on occupational safety in various industrial sectors. The study analyzes the effects of shift work on the health of workers by considering factors such as the workplace environment and welfare. Methods: Focusing on the $4^{th}$ Korean Working Conditions Survey, this study used an ordinary least-square multiple regression analysis. The dependent variable was the annual frequency of injuries reported by workers. Independent variables were categorized as demographic, shift work, workplace environment, and welfare variables. The analysis was conducted on two levels: 1) Shift work and nonshift work groups were compared, and 2) Shift work was compared with fixed and rotating shifts. Results: For the entire group, age, a low level of education, work hours, and daily and dispatch work negatively impacted the frequency of injuries. Shift work was negatively affected by workplace environment and welfare factors. In the shift group, the frequency of injuries was lower than that of regular workers, and the higher the autonomy in the choice of work hours, the lower the frequency of injuries. Furthermore, shift workers in Korea have more extended work hours (49.25 h/week) than other workers (46.34 h/week). Conclusion: Overall, welfare factors such as workplace satisfaction and worke-life balance reduced the frequency of injuries. The effect of shift work was limited, but it was confirmed that shift worker autonomy could reduce the frequency of injuries.

• Korean Journal of Health Education and Promotion
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• v.28 no.4
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• pp.15-25
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• 2011

Objectives: The present study examined whether smoking rate has declined in 1992-2006 and who the high risk groups were on industry classification and employment type. Methods: Data from 91,263 persons aged 25-64 years were analyzed from three rounds of the Social Statistical Surveys of Korea between 1992 and 2006. Industry indicators were divided by the 9th Korean Standard Industrial Classification. Age-adjusted prevalence of smoking was calculated. Prevalence ratios(PR) and differences(PD) were estimated using log-binomial regression analysis. Results: Age-adjusted prevalence of smoking decreased between 1992 and 2006, specially the smoking prevalence of regular employees decreased most. PD in age-adjusted prevalence of smoking were the biggest between regular and daily employees. PR of the temporary employees', daily employees', self-employed persons' in order was wider than that of regular employees. PR increased significantly increased between 1999 and 2006 for those in manufacturing, construction, wholesale & retail trade, service industries. Increases in PR(regular/irregular) for women in service industry were statistically significant. Conclusions: Despite reducing overall cigarette smoking rates in males, the smoking rate was not reduced equally by industry classification and employment type in both genders. More adjustable antismoking policies and consideration of employment type are requested to reduce inequalities in smoking.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.46-53
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• 2021

This study aimed to compare general and female health-related factor between day-work and shift-work worker. It is based on the data of the Korea National Health&Nutrition Examination Survey(KNHANES) 2nd year on 7th period. The number of participants was 10,430. Out of the participants, 1,995 workers' dara was analyzed. The age, marital status, education level, occupational status and childbirth experience of female workers indicated significant differences between day and shift work. By contrast, health-related quality of life did not represent significant differences these factors; income, subjective health cognition, stress perception, depression experience, menarcheal age, menopausal age and breastfeeding period. The shift work is inevitably implemented as an industrial development and flexible work hours. Therefore, social and national attention and measures as well as those of individual workers are required to reduce the side effects from shiftwork.

• International Journal of Industrial Entomology and Biomaterials
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• v.38 no.2
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• pp.38-50
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• 2019

We investigated the developmental characteristics and life cycle of the lawn cutworm, Spodoptera depravata (Lepidoptera: Noctuidae), which is one of the most important pests causing economic damage in grass production. For larval culture, we provided the zoysiagrass at $25^{\circ}C$ and $60{\pm}5%$ humidity. The durations of the developmental stages were as follows: $4.11{\pm}0.19$ days for eggs, $25.17{\pm}3.02$ for larvae, $8.80{\pm}0.28$ for pupae, and $7.57{\pm}0.95$ for adults. We grew the larvae to the 7th instar stage, unlike previous studies, in which it was assumed that the 6th instar was the final age. There was a significant positive correlation between the body length and head capsule width of each instar larvae. In terms of morphology, the eggs changed from light green immediately following oviposition to black as they developed, and the grass-fed larvae changed from light yellow immediately after hatching to green as development continued. We observed a pattern of black spots at regular intervals on the dorsal sides of the abdomens of the final instar larvae. Furthermore, we detected two notable designs on the dorsal side of the front of the head. The pupal colors changed from light brown and green immediately after pupation, to dark brown as the pupal cuticle hardened. The wingspans of the adults were similar in both sexes. However, the forewings of the males had obvious outer lines and eyespots with dark gray-brown backgrounds, whereas the corresponding features on the female forewings were less obvious. The oviposition preperiod was 2.11 days, the oviposition period was 4.2 days, the average fecundity per female was approximately 341 eggs, and the hatching rate was approximately 76.1%.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.302-311
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• 2017

This is predictive correlational study to identify the influence of emotional labor and resourcefulness on turnover intention among clinical nurses. The participants were 138 clinical nurses and the data were collected by an online survey using a self-administered questionnaire from 10th to 17th April, 2016.The collected data were analyzed using SPSS program through t-test, One-way ANOVA, Scheffe's test and multiple linear regression. In the results, there were differences in emotional labor by age, marital status, job position, clinical career, shift work, in resourcefulness by gender, clinical career, and in turnover intention by age. As a result of multiple linear regression, emotional labor and resourcefulness were selected as significant related variables affecting nurse's turnover intentions. These factors accounted for 3.7% of turnover intention, which necessitates the consideration of a specific plan to reduce emotional labor and increase resourcefulness for decreasing clinical nurse's turnover intention.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.378-387
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• 2018

With the advent of the fourth industrial revolution in recent years, the field of health care services is getting attention again. Accordingly, personalized medical systems through smart products are emerging in various forms. With the use of wearable tech and sensor system, health management and monitoring can be done anytime, anywhere without help of others. However, healthcare services for pregnant women are very scarce. Due to the low fertility rate the number of obstetrics and gynecology is decreasing and as a result, environment surrounding the uncomfortable pregnant women is getting worse. Pregnant women are unable to take a comfortable sleeping posture due to pregnancy. Various environmental factors such as noise, temperature and humidity decrease the quality of sleeping of pregnant women and hinder happy preaching. The purpose of this study is to develop a UI design that can manage sleeping by providing good sleeping posture information and improved sleeping environment for the health of pregnant women. We expect to apply the sensor technology of the 4th industrial age to maximize the sleep quality and quality of life of expectant mothers.