• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.547-554
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• 2020

This study attempted to examine how we really think about our daily duties, work, and labor, and what it means. In particular, in this study, using the Q-methodology, one of the "qualitative studies," diagnosed and categorized general workers' thoughts about their work and labor. Accordingly, the following analysis results were derived. First, as a result of the analysis, three types were derived, and the types were named as follows based on the Q statement emphasized by each type. emphasizes statements such as 'blessing/happiness', 'rest', 'lover', and 'reward' for work, and labor was named 「Positive Type」. was named as 「Negative Type」 because statements such as 'painfulness', 'the beginning of the day', 'duty', and 'war' were emphasized. In , 'colleagues and friends' and 'learning' were positive, and 'beginning of the day', 'duty', and 'rest' were expressed as negative statements, so it was named as 「Positive Neutral Type」. 'Work' and 'labor', which are indispensable beings in our daily life, are blessings that must be done, happiness, and co-workers and friends, but the value of their existence is possible when appropriate 'resting' is assumed. In addition, Q methodology is expected to be confirmed as an empirical study in the future, as well as usefulness as a hypothesis abductive approach.

• Journal of the Korea Institute of Building Construction
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• v.15 no.6
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• pp.621-629
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• 2015

Construction worker safety and safety training continue to be main issues in the construction industry. In order to promote safety awareness among workers, it is imperative to develop a more effective and efficient safety training. This study compared two methods in construction worker safety training: 1) a conventional lecture and 2) 3D simulation through Building Information Modeling. Both training methods included the same contents, a selection of safety standard and guide suggested by Occupational Safety and Health Agency and the Korea Occupational Safety and Health Agency; the contents were then produced into two types of training methods. A survey was conducted targeting on safety managers, in which the managers evaluated lifelikeness, active learning and enjoyment that each of training methods can promote. The results of the survey showed that innovative method using 3D simulation was more effective than conventional lecture method in terms of its lifelikeness, active learning and enjoyment. This study will provide implications that innovative method using the virtual reality is more effective than conventional lecture method.

• 대한공업교육학회지
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• v.35 no.2
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• pp.82-111
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• 2010

The goal of this paper was to understand the skill-up experiences of ex-participants of the customized training program in Technical High Schools for Small and Medium Business during first 2 years in Company through qualitative interviews with 3 purposefully selected ex-participants. Their core skill-up experience in this period was assumed as the shift from' dependent worker' to 'independent worker' on the base of literature review. The results of this study were following : 1. The small and medium companies offered a few formal training for newcomers, production-site orientation through short job rotation, linking them with skilled workers and job manuals or job standards. 2. Authentic skill-up experiences were combined with a structured reprimand, peer learning, deep learning through reflection on one's own experiences. 3. There were a few handicap conditions that disturbed their skill-up activities: the skilled worker don't open their skill toward new corner; the ex-participants in company had no time to learn anything meaningful to up-grade their competency.

• Journal of Agricultural Extension & Community Development
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• v.20 no.3
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• pp.729-753
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• 2013

The purpose of this study was to analyze effectiveness of 4-H Seoul Field-Experiential Learning Program(4-H SFELP). The effectiveness scale of youth accredited activity was applied to analyze the effectiveness and satisfaction of the program. After screening the data, 155 responses were used to analyze the data for this study. The major findings of this study were as follows. First, 4-H SFELP has positive effects on the level of global leadership, initiative in exchange, and understanding other cultures which are related with effectiveness of youth exchange activity. Second, 4-H SFELP has positive effects on the level of confidence, challenge spirit, achievement motivation, and collective leadership which are related with effectiveness of youth adventure and challenge activity. Third, 4-H SFELP has positive effects on the level of problem-solving skills, morality, other-respect, and self-respect which are related with effectiveness of youth self-improvement activity. Fourth, 4-H SFELP has positive effects on the level of self-efficacy and autonomy but has not effects on the level of inquiring mind of participants. All these findings were discussed for youth workers and researchers.

• Korean Journal of Social Welfare
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• v.56 no.1
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• pp.253-282
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• 2004

The study is to examine the actual conditions and problems of educational welfare which is a part of social welfare and to offer its future directions and things to do. First of all, education has been considered to be part of social welfare in developed countries for a long time and it has been used the same as school educational welfare. These days Korea is confronted with increasing needs of educational welfare caused by emphasis of manpower, appearance of new poor class after IMF, handing down poverty to their children, absence of public education and educational fever, stress of life long learning and extending needs of students' social welfare service. In advanced countries compared to Korea, people perceive education as an equal opportunity. To reach this thesis, various efforts have been making in terms of manpower development such as reform of related laws, financial and official support, offering of parental skills and protecting children for the disadvantaged, dispatching school social workers and overall life improvement. The subjects and age of educational welfare are also diverse ranging from poor families and pre school children to general public and adults. On the other hand, Korea lacks related laws and financial support that are supposed to enforce educational welfare systematically. Also integrated and professional services are not often available due to the lack of cooperation between related agencies. Therefore, government's role and responsibility should be defined clearly in the future directions of educational welfare in Korea. For this, it is needed to establish related laws and build a concrete financial and executive interrelationship. Also every person should be a target of educational welfare putting priorities on the disadvantaged. A lot of efforts should be made to achieve things mentioned above. Multi-dimensional approach intertwined with education, welfare and labour, establishment of cooperation system between related agencies, reinforcement of life long learning, extension of free education including infants and toddlers, and offering financial support to the poor are a few among these efforts. Finally, institutionalization of school social welfare and improvement school facilities are strongly recommended to get to the right track of educational welfare.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.701-715
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• 2021

The drastic advance of recent deep learning technologies is heavily dependent on training datasets which are essential to train models by themselves with less human efforts. In comparison with the work to design deep learning models, preparing datasets is a long haul; at the moment, in the domain of vision intelligent, datasets are still being made by handwork requiring a lot of time and efforts, where workers need to directly make labels on each image usually with GUI-based labeling tools. In this paper, we overview the current status of vision datasets focusing on what datasets are being shared and how they are prepared with various labeling tools. Particularly, in order to relieve the repetitive and tiring labeling work, we present an interactive smart image annotating system with which the annotation work can be transformed from the direct human-only manual labeling to a correction-after-checking by means of a support of automatic labeling. In an experiment, we show that automatic labeling can greatly improve the productivity of datasets especially reducing time and efforts to specify regions of objects found in images. Finally, we discuss critical issues that we faced in the experiment to our annotation system and describe future work to raise the productivity of image datasets creation for accelerating AI technology.

• Journal of the Society of Disaster Information
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• v.18 no.2
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• pp.269-279
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• 2022

Purpose: The purpose of this study is to develop a deep learning-based personal protective equipment detection model for disaster prevention at construction sites, and to apply it to actual construction sites and to analyze the results. Method: In the method of conducting this study, the dataset on the real environment was constructed and the developed personal protective equipment(PPE) detection model was applied. The PPE detection model mainly consists of worker detection and PPE classification model.The worker detection model uses a deep learning-based algorithm to build a dataset obtained from the actual field to learn and detect workers, and the PPE classification model applies the PPE detection algorithm learned from the worker detection area extracted from the work detection model. For verification of the proposed model, experimental results were derived from data obtained from three construction sites. Results: The application of the PPE recognition model to construction site brings up the problems related to mis-recognition and non-recognition. Conclusions: The analysis outcomes were produced to apply the object recognition technology to a construction site, and the need for follow-up research was suggested through representative cases of worker recognition and non-recognition, and mis-recognition of personal protective equipment.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.287-297
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• 2012

In order to prepare for the introduction of the E-Discovery system from the United States and to cope with some causable changes of legal systems, we propose a general E-Discovery process and essential tasks of the each phase. The proposed process model is designed by the analysis of well-known projects such as EDRM, The Sedona Conference, which are advanced research for the standardization of E-Discovery task procedures and for the supply of guidelines to hands-on workers. In addition, Machine Learning Algorithms, Open-source libraries for the Information Retrieval and Distributed Processing technologies based on the Hadoop for big data are introduced and its application methods on the E-Discovery work scenario are proposed. All this information will be useful to vendors or people willing to develop the E-Discovery service solution. Also, it is very helpful to company owners willing to rebuild their business process and it enables people who are about to face a major lawsuit to handle a situation effectively.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.25 no.4
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• pp.573-583
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• 2015

Objectives: This study was carried out to evaluate the effect of noise exposure and aging on changes in hearing threshold level and the relationship between age and noise. Materials: The author selected 274 male shipyard and assembly line workers as the noise exposed group and 582 males not exposed to noise as the general population group. Data were collected from five years of consecutive annual audiometric tests performed from 2008 to 2012. Results: In the general population and noise exposed groups, there was a reverse phenomenon that hearing threshold level for 2009 was lower than that of 2008, which seemed to be due to the learning effect, but from 2010 hearing threshold level increased. In the noise exposed group, the mean hearing threshold level in the left ear was significantly higher than that for right ear. In the general population group, the older was the age, the higher was the hearing threshold level, especially at 4000 Hz. In the general population and noise exposed groups, frequency, age group and noise exposure independently affected hearing threshold level, and there was no relationship between age and noise exposure. Over all frequencies, the change of hearing threshold level was larger in the noise exposed group than in the general population group. In the noise exposed group below thirty years old, the change at 4000 Hz was remarkable. Conclusions: Age and noise exposure seem to affect hearing threshold level independently and contribute to an additive effect on hearing threshold level.

• Journal of Korean Clinical Health Science
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• v.2 no.2
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• pp.126-132
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• 2014

Purpose. Because traditional statistics approach had limitations in learning future forecasting and major factors causing occupational injuries in each industry, this paper develops a model forecasting and evaluating occupational injury rate by using a system dynamics model through the analysis of the industry injury statistics and the project for industry injury prevention. Method. The model of this paper consists of 12 total models such as a model of employees, of industrial disaster victims, of injury rate, etc.; In the analysis of firm size, it is classified and developed according to 12 groups on the basis of the number of employees, and in the analysis of industrial classification, it is done according to 10 total business fields such as manufacturing business, construction one, etc. Results. This paper suggests the methodology which forecasts industry injury rate by business field and size on the basis of developed model, and evaluates an industry injury prevention project from various angles. Conclusions. This paper deduced problem through the analysis of an industry injury by business fields and a comparative analysis of foreign cases, and analyzed to affect industry injury prevention by industry. And it also analyzed actual condition of industry injury, and did a difference in the level of safety consciousness according to the general characteristics of workers and occupational safety and health education related characteristics. In result, this paper suggests that analyzing occupational injury related factors, a safety budgetary allocation, and industry injury related factors can reduce illness costs such as employees' injury and medical care, and also assist cost for a disability.