• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.29 no.1
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• pp.69-81
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• 2019

Objective: The purpose of this study was to find out what kind of change in death rate when job stress is solved by calculating job stress relieve coefficient. Methods: This study used the data of the fourth working condition survey. Regression analysis was used to determine the relationship between health effects recognition and Death rate per 10,000 workers. After that the recognizing and non - recognizing groups were categorized by health effects recognition, and the differences between the two groups were confirmed by cross tabulation analysis. Results: Regress analysis P-value is 0.011 and $R^2$ is 0.979. Death rate per 10,000 worker increased with the increase in the number of non - health impact recognizing group. The relieve factors were (1) work culture(2.859) (2) physical environment(2.184), (3) improper reward (1,839), (4) relationship conflict(1.646), (5) job requirement(1.613), (6) job autonomy(1.354), (7) job instability(1.334), And (8) organizational system(1.201). The higher the relieve coefficient is, the higher the probability of belonging to the non - health impact recognizing group when there is no job stress factor. Conclusions: When job stress is resolved, there is a high probability that the health impact recognition is reduced, which can lead to an increase in death rate. but according to previous studies, Job stress can cause accidents by reducing the safety behavior of accidents. The job stress management plan should simultaneously consider reducing job stress and increasing health impact recognition.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.515-522
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• 2018

Current signs of a downturn in South Korea's economy include the sharp drop in consumption. Considering internal and external complications such as the raise in minimum wage and fierce global competition, people's taste and purpose of consumption is shifting as well. Under such circumstances, crowdfunding provides a new investment and distribution channel for businesses in their initial stages. Crowdfunding can serve as a key driver of growth in early stages of business operations and lead to growth in consumption as a new distribution channel. This study explores how customers perceive the process of reward crowdfunding, especially when it comes to fairness in procedure, interaction, and distribution. In addition, we further seek how perceived fairness affects customer satisfaction and loyalty in the industry.

• Journal of Korean Society for Quality Management
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• v.46 no.4
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• pp.939-958
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• 2018

Purpose: The purpose of this study was to propose useful suggestions by analyzing causal effect relationship between quality of followership, perceived style of leadership, job satisfaction and team commitment in the aviation industry. Methods: For the analysis of this study, a survey was conducted on local flight attendant. A total of 364 surveys were collected and 336 effective samples were used for analysis. And the collected data were analyzed using Structural Equation Modeling. Results: The results of this study were as follows : First, In the relationship between quality of followership and perceived leadership styles, independent thinking has a positive effect on all six sub-factors of transformational and transactional leadership and active engagement has negative influence on all six sub-factors of transformational and transactional leadership. Inaddition As a result of total and direct and indirect effects, Idealized Influence of perceived leadership style indirectly influences between Quality of Followership and job satisfaction, Idealized Influence, Inspirational Motivation, Intellectual Stimulation, Individualized Consideration, Contingent Reward of perceived leadership style have been shown to have indirect effects on team Commitment Conclusion: Based on the characteristics of followers and the type of leadership, it is necessary to develop ways to develop job satisfaction and team commitment of airline crews. In addition, flight attendant act as leaders and followers of each other depending on their work characteristics. Therefore, it is necessary to understand the relationship between leadership and followership based on the results of this study.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.13-21
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• 2019

The restricted network or the unbalanced distribution of spectrum is causing the problems of lack of spectrum resources and deterioration of the service quality. In addition, the existing centralized radio sharing method has not been a fundamental solution for radio sharing and is inefficient in terms of cost, convenience, and security. In this paper, we propose a blockchain-based spectrum sharing as a low-cost, trustworthy, high-efficiency platform that can distribute and share spectrum resources, and propose policies to realize this. In the spectrum sharing platform, spectrum information about Wi-Fi AP and LTE mobile hotspot is registered in the blockchain, and spectrum sharers and users can conclude peer-to-peer spectrum sharing contract quickly and efficiently through smart contract. The pay for the shared spectrum resources and reward for spectrum quality management open platform ecosystem to activate the circulation-sharing and it can provide a convenient and efficient public wireless infrastructure.

• Korean Journal of Psychosomatic Medicine
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• v.28 no.2
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• pp.155-160
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• 2020

Objectives : This study investigate to identify the stability of temperament and personality characteristics of patients including Posttraumatic Stress Disorder (PTSD) patients. Methods : The number of subjects was 102, of which 33 were PTSD patients and 69 were non-PTSD patients. To demonstrate the change in individual temperament and personality characteristics, Temperament and Character Inventory (TCI) were administered repeatedly on the subjects. Repeated measures ANOVA and simple main effects analysis were conducted. Results : When analysed by dividing the subjects into PTSD groups and non-PTSD groups, the differences between the primary and secondary tests did not appear in the non-PTSD groups, but the differences between the primary and secondary tests were significant in Harm Avoidance (HA), Reward Dependence (RD), Self-Directedness (SD), Cooperativeness (C). In addition, it was noted that the time and group interaction effects of HA, RD, SD and C were significant, and that the main effects of time of HA, RD, SD and C were significant. Conclusions : This study is meaningful in that in the course of experience and recovery of traumatic events, we have clinically confirmed that changes in the temperament, known as stable variables, are possible.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.271-277
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• 2021

Companies are actively engaged in various innovation activities and intellectual property rights activities such as patents in order to survive in a fiercely competitive global environment. The purpose of this study is to understand the factors that influence corporate patent-related activities on business results. For this reason, we conducted a questionnaire survey of patent practitioners and R & D personnel of Chinese companies, and analyzed the causal relationship using PLS analysis tools. As a result of the analysis, it was found that compensation and obstacle factors have a significant effect on information sharing (collaboration)... It was found that information sharing (collaboration) has a significant impact on technology complementation (improvement) and corporate image. It was also found that technical complementation (improvement) and corporate image have an impact on management results. The results of this study will be able to find and strategically utilize the factors that promote and encourage companies to develop their patent activities.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.13-22
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• 2020

This study aims to find out success factors of crowdfunding on movie projects. For empirical analysis, we collected 583 data of the movie projects from the crowdfunding platform 'Tumblbug'. To figure out the success factors, we examined effects of 10 independent variables on 1 dependent variable. The independent variable includes target amount, project information, reward options, creator funding power, editor recommendation, creator contents power, movie type, number of comments, number of replies, and number of SNS information. The final achievement rate of crowdfunding was set as dependent variable. This study found that the target amount, number of text information, number of video information, editor recommendation, number of backers' reply, and number of SNS information had a significant impact on the achievement rate of the movie crowdfunding project. This study has implications in that it has discovered a variable of editor recommendation and the number of SNS information, and both of them have a positive effect on crowdfunding achievement.

• 한국노년학
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• v.36 no.4
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• pp.959-979
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• 2016

This study was performed to explore the life experience as a teacher was dissolved in life aimed at elementary school female teachers. The selection of the four-year teaching career more than 35 years, from January to November 2015 and retired teacher retirement not more than three years to 2015, five people in the study participants were conducting research. Research method was approached narrative interview method of qualitative research, Sch?tze of biographical research methods utilized in exploring how narratives. Results from this study showed the biographical curve through the 'biographical statement', 'experience the life of a female teacher','difficulties experienced in the reality of female teachers', 'reward as a teacher', divided into the categories' 'post-retirement life adaptation types'. These findings are in accordance with the retirement teacher pointed out the lack of social adaptation programs, such as training or preparation for life after retirement, With the increasing need for pre-retirement training is to prepare for life after retirement were suggestions that the government offers programs and information about the life after retirement is necessary.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.6
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• pp.118-133
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• 2020

Research interest in the Mobility-as-a-Service (MaaS) concept for enhancing users' mobility experience is increasing. In particular, dynamic pricing techniques based on reinforcement learning have emerged since adjusting prices based on the demand is expected to help mobility services, such as taxi and car-sharing services, to gain more profit. This paper provides a simulation framework that considers more practical factors, such as demand density per location, preferred prices, the distance between users and drivers, and distance to the destination that critically affect the probability of matching between the users and the mobility service providers (e.g., drivers). The aforementioned new practical features are reflected on a data structure referred to as the Matching Matrix. Using an efficient algorithm of computing the probability of matching between the users and drivers and given a set of precisely identified high-demand locations using HDBSCAN, this study developed a better reward function that can gear the reinforcement learning process towards finding more realistic dynamic pricing policies.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.9-17
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• 2021

In this paper, an autonomous multi-agent path planning using reinforcement learning for monitoring of infrastructures and resources in a computationally distributed system was proposed. Reinforcement-learning-based multi-agent exploratory system in a distributed node enable to evaluate a cumulative reward every action and to provide the optimized knowledge for next available action repeatedly by learning process according to a learning policy. Here, the proposed methods were presented by (a) approach of dynamics-based motion constraints multi-agent path-planning to reduce smaller agent steps toward the given destination(goal), where these agents are able to geographically explore on the environment with initial random-trials versus optimal-trials, (b) approach using agent sub-goal selection to provide more efficient agent exploration(path-planning) to reach the final destination(goal), and (c) approach of reinforcement learning schemes by using the proposed autonomous and asynchronous triggering of agent exploratory phases.