• The Journal of the Korea Contents Association
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• v.9 no.9
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• pp.335-345
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• 2009

This paper is 1) to find out what make cause in the emotional labor and emotional dissonance on hotel employee, 2) to investigate relationship between burnout and turnover intention on the personal character, 3) finally to suggest strategical implications for hotel management decision-maker. The questionnaires are distributed 400 on hotel employees, then used for data analysis 351. The results are as followed. First, the higher surface acting, deep acting, and emotional deviance in the emotional labor, the higher emotional dissonance. But the higher expression of natural emotions, it was showed lowly in the emotional dissonance. Second, the higher emotional dissonance, it was revealed highly burnout and turnover intention.

• Journal of Korea Port Economic Association
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• v.34 no.4
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• pp.105-124
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• 2018

The purpose of this study is to identify human factors that directly or indirectly cause ship accidents and to suggest implications based on the derived human factors. In particular, we conducted a survey on the basis of the human factors derived from the literature survey and interviews, and applied the revised importance-performance analysis (IPA) to develop implications from a comparison of two groups: seafarers and shipping operations managers. Data were collected from 159 practitioners in the Korean shipping industry. The analysis structure consisted of five major factors with 20 components, including unique factors related to ship and shipping management companies, personal competence, in-vessel organization, and personnel's health, as well as social factors. The result of the IPA analysis indicates that in-vessel organization is the most urgent and major factor for improvement. Some differences exist in the components that should be improved between the two groups. For the seafarer group, an increase in unskilled onboard crew affected sustainable safety activities, thus implying an area of preferential improvement regarding the in-vessel organization factor. However, for the shipping operations managers group, the difference in recognizing safety standards among the crew members on board and the ability to communicate with other crew members should be improved first relative to in-vessel organization factors. The personnel's health factor was identified to be of low importance in both groups. Finally, the importance of improving the safety consciousness level according to the safety education and training implementation for seafarers on board was different for the two groups.

• Journal of the Korean Society for Railway
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• v.16 no.3
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• pp.233-239
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• 2013

This paper studied the stress of Metropolitan Transit driving crews. Stress to such workers can not only lead to fatalities and infrastructure damage but also enormous loss of competitiveness. The study was carried out to search for ways of alleviating stress of driving crews. In order to reduce the various factors that exacerbate job stress of driving crews of Metropolitan Transit, it is first necessary to expand training in order to enhance their expertise, and improve facilities to protect driving crews in the event of accidents. Second, psychological compensation or organization's systems may cause job stress. It may therefore be possible to solve fundamental problems through typical organization level approach such as leadership training programs. Third, job stress may be reduced through proper life habits such as personal regular exercise. Fourth, we need to improve driving crews' working conditions and adjust working hours by avoiding excessive performance competition and an unfair evaluation system, by understanding their mental states, and by setting up systems such as a comprehensive health improvement and management program at the organization level.

• Journal of muscle and joint health
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• v.28 no.2
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• pp.152-160
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• 2021

Purpose: This study, using the International Classification for Nursing Practice, aimed to identify the phenomenon of family nursing care, and the factors affecting it, for high-risk and frail older persons who have a significant need for home healthcare services. Methods: This study was conducted using secondary data collected by students who interviewed 93 healthcare subjects in a health center. The data was used to analyze the general characteristics, health-related characteristics, and confirmed problems of family nursing phenomena of the subjects. Independant t-test, Pearson correlation coefficient, and multiple linear regression were used for the data analysis. Results: The mean age of the subjects was 82.4±6.3 years. The most common problem of the family nursing phenomenon were unhealthy lifestyle, disturbance in family communication, and lack of family interaction in the community. People with greater family nursing phenomenon problems reported a higher degree of frailty and depression, lower quality of life and self-rated health. The factors that influence the family nursing phenomenon of frail older persons are the problems of mobility and hearing. Conclusion: Physical and psychological problems associated with aging can cause not only personal, but family functional problems as well. Therefore, a comprehensive family-oriented support program is required.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.303-309
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• 2018

Internet of Things technology is an intelligent service that connects all objects to the Internet and interacts with them. It is a technology that can be used in various fields, such as device management, process management, monitoring of restricted areas for industrial systems, as well as for navigation in military theaters of operation. However, because all devices are connected to the Internet, various attacks using security vulnerabilities can cause a variety of damage, such as economic loss, personal information leaks, and risks to life from vulnerability attacks against medical services or for military purposes. Therefore, in this paper, a mutual authentication method and a key-generation and update system are applied by applying S/Key technology based on a hash chain in the communications process. A mutual authentication method is studied, which can cope with various security threats. The proposed protocol can be applied to inter-peer security communications, and we confirm it is robust against replay attacks and man-in-the-middle attacks, providing data integrity against well-known attacks in the IoT environment.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1523-1537
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• 2018

The AI speaker is a simple operation that provides users with useful functions such as music playback, online search, and so the AI speaker market is growing at a very fast pace. However, AI speakers always wait for the user's voice, which can cause serious problems such as eavesdropping and personal information exposure if exposed to security threats. Therefore, in order to provide overall improved security of all AI speakers, it is necessary to identify potential security threats and analyze them systematically. In this paper, security threat modeling is performed by selecting four products with high market share. Data Flow Diagram, STRIDE and LINDDUN Threat modeling was used to derive a systematic and objective checklist for vulnerability checks. Finally, we proposed a method to improve the security of AI speaker by comparing the vulnerability analysis results and the vulnerability of each product.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.142-144
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• 2016

Recent promising technologies of the manufacturing sector interest, and the interest in 3D printing that is expected to cause a huge ripple effect rapidly, and various types of products advertised in accordance with the falling price of 3D printers is spreading. However, the personal 3D printers that are currently being advertised is used for Injection output of the simple type that does not require a high processing precision in accordance with the limitation of technical performance, and consumer satisfaction is very low. In this paper, we propose a 3D printer, 3D precision to overcome existing limitations in the way the printer's high SLA 3D printer that combines injection method and the LSU (Laser Scanning Unit) in the office laser printer polygon mirror scanning method. 3D printers which are proposed to improve the accuracy and manufacturing speed is expected to replace the existing entry-level 3D printer.

• Korea Journal of Hospital Management
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• v.24 no.3
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• pp.1-10
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• 2019

Purpose: The purpose of this study was to investigate determinants of purchasing indemnity private health insurance and its impact on the healthcare utilization among outpatients with chronic disease. Methods: The study analyzed 4,997 chronic ill patients using 2015 Korean Health Panel data. Logistic regression analysis was conducted to analyze the factors affecting the purchase of indemnity private health insurance and multiple regression analysis was conducted to analyze the effect of private health insurance on the number of outpatient visits and outpatient expenditures. Findings: The age, education level, and number of chronic diseases were significant factors affecting the purchasing of indemnity private health insurance among chronic patients. As a result of analyzing the impact of indemnity private health insurance on healthcare utilization, the number of outpatient visits for those who enrolled in the indemnity private health insurance was higher than the number of outpatient visits for those who did not. But there was no statistically significant difference in outpatient medical expenses. Practical Implications: The results of this study shows that indemnity private health insurance may cause inequality in the healthcare utilization of the socially vulnerable. It is necessary to seek ways to strengthen the health security of chronic disease patients and high-risk elderly people who need more healthcare.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.451-456
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• 2019

Our students are shocked by the results that there is an inverse proportion between academic achievement and life satisfaction. Recently, the Organization for Economic Cooperation and Development (OECD) published the PISA 2015 Student Well-Being Report. According to the report, Korean students' education is the highest among OECD countries, but their life satisfaction is the 47th ranked among the 48 OECD and non-OECD countries.[1] This is the cause of the unilateral education using collective achievement in evaluation methods. Therefore, I propose a personalized integrated model utilizing block chain technology. I suggest a personalized education and evaluation system model using selective education and personal approval rather than from teachers' unilateral education. This will no longer open the student's achievement grade system to the public. This change will be accomplished utilizing block chain technology. This technology is characterized by security, transparency and dispersion. The result of this work can be used to improve students' quality of living through a management system of personalized education and evaluation, based on the nature of education.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.19-30
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• 2021

Diabetes Mellitus (DM) is one of common chronic diseases leading to severe health complications that may cause death. The disease influences individuals, community, and the government due to the continuous monitoring, lifelong commitment, and the cost of treatment. The World Health Organization (WHO) considers Saudi Arabia as one of the top 10 countries in diabetes prevalence across the world. Since most of the medical services are provided by the government, the cost of the treatment in terms of hospitals and clinical visits and lab tests represents a real burden due to the large scale of the disease. The ability to predict the diabetic status of a patient without the laboratory tests by performing screening based on some personal features can lessen the health and economic burden caused by diabetes alone. The goal of this paper is to investigate the prediction of diabetic and prediabetic patients by considering factors other than the laboratory tests, as required by physicians in general. With the data obtained from local hospitals, medical records were processed to obtain a dataset that classified patients into three classes: diabetic, prediabetic, and non-diabetic. After applying three machine learning algorithms, we established good performance for accuracy, precision, and recall of the models on the dataset. Further analysis was performed on the data to identify important non-laboratory variables related to the patients for diabetes classification. The importance of five variables (gender, physical activity level, hypertension, BMI, and age) from the person's basic health data were investigated to find their contribution to the state of a patient being diabetic, prediabetic or normal. Our analysis presented great agreement with the risk factors of diabetes and prediabetes stated by the American Diabetes Association (ADA) and other health institutions worldwide. We conclude that by performing class-specific analysis of the disease, important factors specific to Saudi population can be identified, whose management can result in controlling the disease. We also provide some recommendations learnt from this research.