• Journal of Family Resource Management and Policy Review
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• v.27 no.3
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• pp.53-65
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• 2023

The aim of this study was to identify the factors that sustain the work of women activists with children by examining their work and life experiences and demands. This study focused on community-based institutions whose purpose was to spread gender equality and address gender issues. To achieve the purpose of this study, focus group interviews were conducted with 10 women activists working for women's organizations and grassroots women's organizations. By analyzing their interview responses, five topics were derived: the main activities and statuses of the women's organizations and grassroots women's organizations, the motivations for activities, the positive activity experiences that led to life as an activist, the factors that made it difficult to work, and the social support necessary to continue as an activist. The study results show that the work and life experiences and demands of civil society women activists provide the basis for understanding the lives of and scope of social support for women activists compared with women with jobs protected and supported by formal institutions. However, further analysis and discussion are required to identify the needs of more diverse women activists through continuous research in the future.

• Korean Journal of Culture and Social Issue
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• v.16 no.2
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• pp.165-178
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• 2010

The present study was to explore the suicide from the perspective of cultural psychology. The result was that: First, the main reason to commit the familial suicide in korea is due to cultural characteristic. Korean people does not think the relationship of parents and children is separate or independent. So, When they can not bring up their child, Korean parents commit the familial suicide. Second, many people commit suicide not individual problems but interpersonal problems. This result reveal that Korean people think relationship between the people is very important. Third, there art too many alcohol problem in korea. The reason is generous attitude about alcohol problem. Fourth, suicide of man due to economic problem on the other hand, women due to personal health problem. The reason of this is cultural characteristics of korea. In traditional Korean culture, the family responsibility rest with man and the household affairs responsibility rest with women. Also, it is suggested that further psychological researches must be performed in the serious consideration of the indigeneous characteristics of Korean culture.

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.5
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• pp.113-119
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• 2023

Most infrastructure structures were completed during periods of economic growth. The number of infrastructure structures reaching their lifespan is increasing, and the proportion of old structures is gradually increasing. The functions and performance of these structures at the time of design may deteriorate and may even lead to safety accidents. To prevent this repercussion, accurate inspection and appropriate repair are requisite. To this end, demand is increasing for computer vision and deep learning technology to accurately detect even minute cracks. However, deep learning algorithms require a large number of training data. In particular, label images indicating the location of cracks in the image are required. To secure a large number of those label images, a lot of labor and time are consumed. To reduce these costs as well as increase detection accuracy, this study proposed a learning structure based on mean teacher method. This learning structure was trained on a dataset of 900 labeled image dataset and 3000 unlabeled image dataset. The crack detection network model was evaluated on over 300 labeled image dataset, and the detection accuracy recorded a mean intersection over union of 89.23% and an F1 score of 89.12%. Through this experiment, it was confirmed that detection performance was improved compared to supervised learning. It is expected that this proposed method will be used in the future to reduce the cost required to secure label images.

• Journal of the Korea institute for structural maintenance and inspection
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• v.27 no.5
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• pp.30-39
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• 2023

Large dams, which are critical infrastructures for disaster prevention, are exposed to various risks such as aging, floods, and earthquakes. Better dam safety inspection and diagnosis using digital transformation technologies are needed. Traditional visual inspection methods by human inspectors have several limitations, including many inaccessible areas, danger of working at heights, and know-how based subjective inspections. In this study, drone photogrammetry was performed on two large dams to evaluate the applicability of digital data-based dam safety inspection and propose a data management methodology for continuous use. High-quality 3D digital models with GSD (ground sampling distance) within 2.5 cm/pixel were generated by flat double grid missions and manual photography methods, despite reservoir water surface and electromagnetic interferences, and severe altitude differences ranging from 42 m to 99.9 m of dam heights. Geometry profiles of the as-built conditions were easily extracted from the generated 3D mesh models, orthomosaic images, and digital surface models. The effectiveness of monitoring dam deformation by photogrammetry was confirmed. Cracks and deterioration of dam concrete structures, such as spillways and intake towers, were detected and visualized efficiently using the digital 3D models. This can be used for safe inspection of inaccessible areas and avoiding risky tasks at heights. Furthermore, a methodology for mapping the inspection result onto the 3D digital model and structuring a relational database for managing deterioration information history was proposed. As a result of measuring the labor and time required for safety inspection at the SYG Dam spillway, the drone photogrammetry method was found to have a 48% productivity improvement effect compared to the conventional manpower visual inspection method. The drone photogrammetry-based dam safety inspection is considered very effective in improving work productivity and data reliability.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.17 no.2
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• pp.129-140
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• 2022

Micro and small enterprises are businesses that absorb the most labor in Korea. The position of micro and small enterprises in the national economy has an important and strategic role because micro and small enterprises are quite dominant in the Korea economy. The purpose of this study is to look at the effect of the CEO' business experience, competency(job competency, money competency, digital competency), government support service(government support satisfaction, education support) on the performance. For this study, data was collected from 220 CEO by using questionnaires. The statistics analysis SPSS 24.0 was used, it is a factor analysis, reliability test and multiple regression analysis for hypothesis verification. The research results are as follows. First, as a result of examining the effect of the CEO competency on the performance, it was found that among the competency factors, money competency and digital competency had a significantly positive (+) effect on the performance. Second, as a result of examining the effect of government support service on the performance, government support satisfaction, education support had a positive (+) effect on the performance. Thirdly, in the relationship between CEO' business experience, competency, government support service and performance, the mediating effect of self efficiency was significant money competency→self efficiency→performance, digital competency→self efficiency→performance.

• Korean Journal of Culture and Social Issue
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• v.30 no.2
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• pp.121-157
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• 2024

This study explored the essence of psychological burnout experiences due to emotional contagion using a hermeneutic phenomenological approach. In-depth interviews were conducted on 9 participants who work in fields that are subject to emotional contagion. Data analysis was conducted by using van Manen's methodology, insisting that the pure description of an experience can be enriched by adding interpretation. The emotional contagion experiences were identified through this process and the findings were categorized into 3 core themes, 8 essential themes, and 35 subthemes. The first core theme is "emotions in constant exchange". This theme included two essential themes: 'various channels of emotional contagion' and 'subjective states that change depending on the transmitted emotions'. The second core theme, "filtering the experience of emotional contagion" included the essential themes of 'the characteristics susceptible to the emotions of others', 'attitudes of spreading negative emotions' and 'situations that makes one feel overwhelmed by emotions'. The final core theme, "from burnout by emotional contagion to communication" was categorized into the following essential themes: 'burnout-inducing entangled interactions', 'moving toward communication and connection' and 'recovery after psychological burnout'. Finally, the implications and suggestions for future research were discussed by summarizing the core contents of each themes.

• Science of Emotion and Sensibility
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• v.26 no.4
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• pp.15-28
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• 2023

Considering the necessity for individuals to check and manage their wellness to promote happiness, this study conducted preliminary research on the effect of wellness enhancement of the self-life coaching app. Thirty-six participants were randomly assigned to experimental groups 1 and 2 and a control group, respectively. In particular, the experimental groups were asked to perform self-life coaching for 4 weeks using a research app. Weekly feedback was provided to experimental group 1, but not to experimental group 2. The wellness index for workers (WIW) and the Korean wellness scale (KWS) were used as dependent variables. The analysis results of interaction effects between pre-, post-, and follow-up time points and groups reveal no statistically significant effects in both dependent variables, but the tendency of the effects was confirmed. Moreover, no difference was determined in terms of the presence or absence of weekly feedback in the experimental treatment effect. As a result of repeated measures variance analysis on KWS measured at five times, the wellness enhancement effect over time was statistically significant. Meanwhile, the polynomial trend analysis result confirmed the linear effect of the experimental treatment on wellness. The participation opinion survey also revealed that 84.2% of the participants perceived the activity to be helpful, and 78.9% responded that they would use it once every 1 or 2 weeks if the app is commercially available. This study is meaningful in that it suggests a methodology for utilizing the self-life coaching app so that anyone can use it to promote their wellness and partially confirms the effectiveness of this method.

• Journal of Korean Tunnelling and Underground Space Association
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• v.25 no.6
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• pp.555-567
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• 2023

The cracks in the tunnel are currently determined through visual inspections conducted by inspectors based on images acquired using tunnel imaging acquisition systems. This labor-intensive approach, relying on inspectors, has inherent limitations as it is subject to their subjective judgments. Recently research efforts have actively explored the use of deep learning to automatically detect tunnel cracks. However, most studies utilize public datasets or lack sufficient objectivity in the analysis process, making it challenging to apply them effectively in practical operations. In this study, we selected test datasets consisting of images in the same format as those obtained from the actual inspection system to perform an objective evaluation of deep learning models. Additionally, we introduced ensemble techniques to complement the strengths and weaknesses of the deep learning models, thereby improving the accuracy of crack detection. As a result, we achieved high recall rates of 80%, 88%, and 89% for cracks with sizes of 0.2 mm, 0.3 mm, and 0.5 mm, respectively, in the test images. In addition, the crack detection result of deep learning included numerous cracks that the inspector could not find. if cracks are detected with sufficient accuracy in a more objective evaluation by selecting images from other tunnels that were not used in this study, it is judged that deep learning will be able to be introduced to facility safety inspection.

• Industry Promotion Research
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• v.9 no.2
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• pp.69-75
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• 2024

Korea has entered the ranks of advanced countries in terms of economic size and technological competitiveness. However, its industrial accident fatality rate remains among the lowest in OECD countries, and recent incidents such as various building collapses have resulted in numerous deaths of workers or citizens, reminiscent of accidents in developing countries. According to the 2022 Industrial Accident Status Analysis by the Ministry of Employment and Labor, out of the 874 fatalities in work-related accidents in 2022 across all industries, 402 were in the construction industry, accounting for approximately 46% of all fatalities. In particular, the construction industry's fatality rate stands at 1.61, significantly higher than the overall industry fatality rate of 0.43, indicating its severity. Construction ranks highest in terms of fatality rates, with mining at 12.18 and fishing at 1.80. When categorizing construction projects into private and public, private projects show significantly higher figures in terms of contracts, contract amounts, accident numbers, and fatalities compared to public projects. However, unlike public agencies, many private clients lack adequate safety and health activities and lack established safety and health systems. This study aims to raise awareness among private clients about the need to establish safety and health systems and enhance safety and health activities, and to discuss the direction of future development of advanced safety and health practices among private clients.

• Journal of Technology Innovation
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• v.31 no.3
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• pp.139-169
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• 2023

This study analyzes the effects of firms' technology innovation(patent applications) on employment(number of workers and proportion of high-skilled workers) and corporate performance(sales per worker), while considering the two-way causal relationships between these variables. We used the three-stage least squares(3SLS) estimation to examine system of equations in which the dependent variables affect each other with a two-year lag wherever relevant, and applied it to firm-level panel data of Korean manufacturers with 100 or more workers. Our data covered the period of 2005-2017. Exogenous variables, such as firms' managerial and other characteristics, were controlled as explanatory variables. The identification variables for each equation included firms' R&D intensity, labor cost per worker(or operation of firms' own R&D center), and investment on worker training. We find that firms' patent applications increased number of workers, proportion of high-skilled workers, and sales per worker; the causal relationships in the opposite direction were also significant. Evidently, firms' technology innovation is critical to the growth and quality improvement of employment as well as sustainable corporate growth.