• Safety and Health at Work
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• v.15 no.2
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• pp.200-207
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• 2024

Background: Workers are often exposed to hazardous heat due to their work environment, leading to various injuries. As a result of climate change, heat-related injuries (HRIs) are becoming more problematic. This study aims to identify critical contributing factors to the severity of occupational HRIs. Methods: This study analyzed historical injury reports from the Occupational Safety and Health Administration (OSHA). Contributing factors to the severity of HRIs were identified using text mining and model-free machine learning methods. The Multinomial Logit Model (MNL) was applied to explore the relationship between impact factors and the severity of HRIs. Results: The results indicated a higher risk of fatal HRIs among middle-aged, older, and male workers, particularly in the construction, service, manufacturing, and agriculture industries. In addition, a higher heat index, collapses, heart attacks, and fall accidents increased the severity of HRIs, while symptoms such as dehydration, dizziness, cramps, faintness, and vomiting reduced the likelihood of fatal HRIs. Conclusions: The severity of HRIs was significantly influenced by factors like workers' age, gender, industry type, heat index , symptoms, and secondary injuries. The findings underscore the need for tailored preventive strategies and training across different worker groups to mitigate HRIs risks.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.564-578
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• 2015

The present study is aimed to investigate antecedents(person-job fit, human capital investment) and outcome variable(subjective career success) of continuous-related career learning, and to demonstrate mediating effects of continuous-related career learning. The data which was applied to analysis was collected from 241 office workers who have worked for automobile company in Ulsan and public companies in Jeju and applied temporal separation of measurement as an alternative for common method bias. The results are as follows. First, person-job fit, human capital investment affected to career-related continuous learning positively. Second, the impacts of career-related continuous learning to subjective career success was positively significant. Third, the mediating effects by career-related continuous learning demonstrated statistically significant in the links between antecedents-outcome variables as partial mediation. Implications of this study contribute to expand research area of continuous-related career learning with regard to job and organizational variables, and to facilitate of research interests on subjective career success. In addition, the mechanism of career advance was empirically proved by continuous-related career learning.

• Health Policy and Management
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• v.15 no.3
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• pp.1-16
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• 2005

This study was planned to investigate the relationship between development levels of learning organization and organization effectiveness in Hospital. Data were collected from 285 respondents who have participated in 'Learning Organization Project'(response rate =$50.5\%$). Structured questionnaire were applied by self administrated survey for two weeks since 2003 May. Main results were as follows; In the result of factor analysis, four factor were created and almost questionnaire items were classified into as same categories as theoretical concepts. Cronbach's a coefficient also showed over 0.7 in all categories. This result means that measurement tool to evaluate the development level of learning organization is valid and reliable. In the comparison of the development level of learning organization by participants' specialties, managerial workers perceived the lowest construction level, while medical technicians evaluated it as the highest level. In regression analysis, the perception levels of work environment, task and human aspect showed positive relationship with job competency significantly. For job satisfaction, levels of task and human aspects had positive relationship significantly. In addition, for organizational commitement, levels of organization and human aspect were positive predictors. Finally, for the satisfaction about experience of learning organization project, levels of environment, task and hmm aspects were related positively. We concluded from these result that the positive relationship between construction levels of learning organization and organization effectiveness was extended to hospital, besides industrial fields. We recommend the introduction and facilitation of learning organization project in various settings to improve the competency of knowledge management in individual and organizational levels.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.647-654
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• 2023

Deep Learning is a useful method for classifying and recognizing complex data such as images and text, and the accuracy of the deep learning method is the basis for making artificial intelligence-based services on the Internet useful. However, the vast amount of user da vita used for training in deep learning has led to privacy violation problems, and it is worried that companies that have collected personal and sensitive data of users, such as photographs and voices, own the data indefinitely. Users cannot delete their data and cannot limit the purpose of use. For example, data owners such as medical institutions that want to apply deep learning technology to patients' medical records cannot share patient data because of privacy and confidentiality issues, making it difficult to benefit from deep learning technology. In this paper, we have designed a privacy preservation technique-applied deep learning technique that allows multiple workers to use a neural network model jointly, without sharing input datasets, in multi-party system. We proposed a method that can selectively share small subsets using an optimization algorithm based on modified stochastic gradient descent, confirming that it could facilitate training with increased learning accuracy while protecting private information.

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.199-208
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• 2023

Performance analysis for work-learning dual system has been mainly conducted from the perspective of diagnosing the effectiveness of policies at the macro level. This study aims to analyze issues in organizational management of the work-learning dual system training center by conducting an analysis focusing on the organizational performance of the work-learning dual system training center's employees. As a result of the analysis, it was confirmed that the perception and attitude of employees toward the work-learning dual training center differed depending on the type of work-learning dual system and the type of employment contract. Among the types of work-learning dual system, overall, in the case of IPP, the organizational performance of employees was low, while the apprenticeship was relatively high. As for the type of employment contract, the need for institutional improvement has been derived, especially for the project contract workers.

• Journal of Applied Reliability
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• v.6 no.4
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• pp.255-274
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• 2006

Recently firms become largely changed because of rapid technological innovation and serious global competition. It induces job stress of workers and finally leads to job burnout. This study aims to find the effects of job demands and job resources on job burnout. Job demands contains role ambiguity, role conflict, role overload and job characteristics. Job resources contains job control and feedback, involvement in decision making, learning opportunity and social support. The result reveals that job demands raises job burnout and job resources decreases job burnout. And it reveals that the effects of job demands and job resources on job burnout differs slightly according to job categories.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.2
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• pp.103-108
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• 2005

Loading/Unloading task in the real industry is performed by crane, but most of the loading/unloading task with the weight of 5kg∼30kg is done by human workers and this kind of work causes industrial disaster of workers. Therefore it is necessary to develop low cost loading/unloading manipulator system to prevent this kind of industrial accidents. This paper is concerned with the design and fabrication of 2 axis pneumatic manipulators using on/off solenoid valves and accurate position control without respect to the external load and low damping in the pneumatic rotary actuator. To overcome the change of external load, switching of control parameter using LVQNN (Learning Vector Quantization Neural Network) is newly applied, which estimates the external loads in the pneumatic cylinder. As an underlying controller, a state feedback controller using position, velocity and acceleration is applied to the switching control system. The effectiveness of the proposed control algorithms are demonstrated through experiments of pneumatic cylinder with various loads.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.327-330
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• 2020

Port workers commuting by bicycle are threatened by damaged roads such as port halls created by large cargo. To solve this problem, a device was designed to detect broken roads with sensors and a camera.

• Journal of the Korea Safety Management & Science
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• v.24 no.4
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• pp.41-47
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• 2022

A reliable prediction model of national occupational accident fatality rate can be used to evaluate level of safety and health protection for workers in a country. Moreover, the socio-economic aspects of occupational accidents can be identified through interpretation of a well-organized prediction model. In this paper, we propose a machine learning based relative comparison methods to predict and interpret a national occupational accident fatality rate based on socio-economic indicators. First, we collected 29 years of the relevant data from 11 developed countries. Second, we applied 4 types of machine learning regression models and evaluate their performance. Third, we interpret the contribution of each input variable using Shapley Additive Explanations(SHAP). As a result, Gradient Boosting Regressor showed the best predictive performance. We found that different patterns exist across countries in accordance with different socio-economic variables and occupational accident fatality rate.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.574-599
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• 2018

The purpose of this study is to suggest implications for the importance of shared leadership of leaders by analyzing the influence of learning orientation and unlearning on the recognition of leader's shared leadership and employees'. The questionnaire survey was conducted on the employees who work as knowledge workers in the domestic SMEs. A total of 387 questionnaires were collected using SPSS 24.0 statistical package. The results of this study were that the relationships between a leader's shared leadership and innovation behavior, shared leadership and learning orientation, and learning orientation and innovation behavior were positive. In addition, learning orientation mediated in the relationship between shared leadership and innovation behavior, and unlearning reinforced the relationship between shared leadership and learning orientation. The implication of this study is that the employees themselves need continuous reinforcement activities for active unlearning and learning orientation in order to improve the innovation behavior of the employees. In addition, the shared leadership of leaders in employees and organization is more important.