• Journal of Fashion Business
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• v.17 no.5
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• pp.138-150
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• 2013

This paper is purposed to study on the Influence of Working Condition and Job Satisfaction on the change of occupation of Cosmetologist(Hair & Skin Care) to reduce cosmetologist change of occupation. The research methods are surveying with 250 persons & doing statistics analysis such as frequency, factor, regression analysis, using SPSS V.14. The results are as belows; 1. working conditions are reduced by two factors (1) welfare working condition, (2) basic working condition, and job satisfactions are reduced by one factor job satisfaction. 2. There is a relationship demographic characteristics, such as years, income/month, number of colleague in working area, working time/day, day off/month, with change of occupation. 3. There is a relationship working condition with change of occupation. 4. There is a relationship job satisfaction with change of occupation.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.1150-1153
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• 2003

Recently, Many studies have been undergoing to reduce a working time in a field of machine tool. There are two ways of reducing working time; to reduce actual working time by heighten spindle speed and to reduce stand-by time by shortening tool exchange time. Automatic tool change system belongs to the latter case. Fixed address type automatic tool change system that is being developed in this study can store more number of tool in small space than magazine transfer type automatic tool changer as well as shorten tool exchange time. In this paper, a simplified equivalent model of finite element method in order to analyze frame structure of fixed address type automatic tool change system is presented.

• Annals of Occupational and Environmental Medicine
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• v.35
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• pp.20.1-20.7
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• 2023

The policy proposal by the current Korean government that proposes flexible overtime rules is causing social controversy. This study has explored the 612 experts' opinions on the occupational safety and health impacts of the policy using an online self-report survey. They expected short-term overwork (87.25%), overwork inequality (86.44%), irregular working hours (84.31%), chronic overwork (84.15%), long working hours (83.66%), and unpredictability of working hours (81.86%) as a result of the policy change. They also responded that the policy change would increase industrial accident deaths (87.25%), mental illnesses (87.09%), deaths due to overwork or cardiovascular diseases (83.84%), and accidents (83.33%). They disagreed that the government's flexibilization policy, while agreeing that the necessity of policies on regulating night work (94.77%), guaranteeing wages to eliminate overtime (90.36%), establishing working time regulations for the bogus self-employed (82.84%), and applying the 52-hour workweek system to all workplaces (76.47%). These expert opinions are consistent with previous research on the health effects of working hours.

• Journal of Families and Better Life
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• v.20 no.4
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• pp.165-177
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• 2002

The purpose of this study is to analyze the effect of different working days of married working men and women on their time use on the weekend. The data collected by The National Statistical Office in 1999 was used. Among the total sample of 17,000 families, 7580 samples who are married, employed, and more than 20 yews old are selected for the analysis. This study has resulted in two major findings. (1)the working days affect on the time use on the weekend. The pattern is somewhat different by sex. The women spend more time in leisure and houseworks on the weekend as the working days decrease. However, the men do not spend more time on doing houseworks as the working days decrease. The time spent on leisure and physiologic time is increased both men and women as the change of workweek from the biweekly five-day to the weekly five-day: (2)if the five-day workweek and more flexible hours are introduced, they will contribute to Improve the quality of life of workers. This fact shows positive view at the last stage of legislation of the five-day workweek .

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.27 no.5
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• pp.358-363
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• 2015

As a preparation process for successful establishment of demonstration offshore wind farm, analyses have been made for working time at the construction site where working time is defined as the time available for marine operation to take place under given weather conditions. Data used are hourly wave and wind data from met mast, HeMOSU-1, and 3 hour numerical model data from Korea Meteorological Administration (KMA). Seasonal results show the minimum working time during winter and moderate during autumn and spring. The most working time was seen during summer on average. Monthly analyses show the most working time in May, June, and August which was higher than the working time in July and September. Working time reaches at steady state and no significant change was seen above wave height of 1.5 m and wind speed of 8 m/s.

• Journal of Applied Reliability
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• v.15 no.3
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• pp.181-191
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• 2015

Change in labor time is affecting occupational safety and health. Recently reduction in labor time brought innovational operation method, investment in plant and equipment, and flexible labor time in some companies, thereby affecting working conditions for labourers. However, working conditions for some vulnerable social groups have deteriorated. As a result, they are becoming more exposed to risk factors such as injury and emotional stress. In this study we use 2014 KWCS data in order to find the social and demographic characteristics in Korean working conditions. To this end, we use exploratory data analysis approach to find the relationship between some of the important variables in the KWCS data. We also use Press-State-Response model to find which group of people are vulnerable to Press and State. We find that women, people over age 50 and business owners are more vulnerable to Press and State than men, people below age 50 and wage workers.

• Journal of Society of Preventive Korean Medicine
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• v.7 no.1
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• pp.139-150
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• 2003

This study tried to know the chang of lifestyle and the factors causing of lifestyle change by the outcome of oriental medical examination for labors in one of the automobile factories in Jeon Buk area. The results will be helpful to the effective health care for the labors in factory. Oriental medical examination was done 22 times from May 20 to June 19, 2002. The numbers of labor who received oriental medical examination were 531, and 300 questionnaires among them were collected. The results were as follows: 1) General characteristics of examinee for oriental medical examination; total 300 labors, high percentage in age range $31{\sim}45$ years old, mostly married, high percentage of high school in completion of study. High percentages in drinking, smoking, and working hour were less than 1 time per week, non-smoking, and above 10 hours, respectively. High percentages in working year and salary were $11{\sim}15$ years. 2) The degree of lifestyle change by the oriental medical examination had the highest score with consult of oriental medicine doctor, and the lowest score was from moire typography result. 3) The degree of lifestyle change by medical examination was highly influenced by the subject characteristics that were less than 1 time per week for drinking, non-smoking, and less than 10 years of working year. 4) For the lifestyle change by the cognition of subject, the subjects who had high confidence for oriental medical examination, high recognition for oriental medical examination's requirement, high concern for health. effective cognition for early detection of disease, had high degree of lifestyle change. 5) The variables that cause lifestyle change in Sasang constitutional analysis result were early detection of disease, type of smoking, working year, moire typography result, interview for health. The variables that cause lifestyle change in moire typography result were type of drinking, ages, working year, consult for health, moire typography result. The variables that cause lifestyle change in interview with oriental medicine doctor were constitutional analysis and moire typography result.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.394-397
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• 2004

Working-day calculation with weather factors of construction-site has estimated wethout proper data. They usually estimate it with their own experience and intuition. It causes not only economic loss to time-adjustment but also conflict with each participants. Moreover, weather estimation becomes worse than before, due to tendency of recently weather change. So, in this paper we present optimal estimation method as assessment by period of the arithmetical mean methods. For that, we analyse characteristic of the regions and weather change of temperature and rainfall which affects time.

• Korean Journal of Construction Engineering and Management
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• v.19 no.1
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• pp.103-113
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• 2018

In this study, Construction work is mainly done outdoors, so earth works, reinforced concrete works, etc. are Non-Working Days to rainfall. In particular, changes in rainfall due to global warming have made air calculation more difficult. Therefore, when establishing the process plan, the change of the rainfall in the area should be identified and Non-Working Days should be calculated. In this study, the time of rainfall change point was identified using the meteorological 'observation' data from 1960 to 2016 in Incheon and RCP 4.5, 'weather forecast' data from 2018 to 2074, Year rainfall and seasonal rainfall. The results showed that rainfall changed point in 1972, 1988, 2013, 2038, 2050 and 2069. In particular, it has been found that non-working days due to rainfall has big changed point as of 2013, 2038 and 2069.

• Korean Journal of Construction Engineering and Management
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• v.24 no.6
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• pp.81-90
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• 2023

Climate change has resulted in increased frequency and intensity of heat waves, which poses a significant threat to the health and safety of construction workers, particularly those engaged in labor-intensive and heat-stress vulnerable working environments. To address this challenge, this study aimed to propose an interpretable machine learning approach for forecasting personal heat strain by considering the cumulative effect of heat exposure as a situational variable, which has not been taken into account in the existing approach. As a result, the proposed model, which incorporated the cumulative working time along with environmental and personal variables, was found to have superior forecast performance and explanatory power. Specifically, the proposed Multi-Layer Perceptron (MLP) model achieved a Mean Absolute Error (MAE) of 0.034 (℃) and an R-squared of 99.3% (0.933). Feature importance analysis revealed that the cumulative working time, as a situational variable, had the most significant impact on personal heat strain. These findings highlight the importance of systematic management of personal heat strain at construction sites by comprehensively considering the cumulative working time as a situational variable as well as environmental and personal variables. This study provided a valuable contribution to the construction industry by offering a reliable and accurate heat strain forecasting model, enhancing the health and safety of construction workers.