• Journal of Navigation and Port Research
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• v.47 no.4
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• pp.202-211
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• 2023

In maritime accidents, collisions involving fishing vessels are more frequent and severe than those involving other types of vessels. Previous cases of collision accidents caused by fishing vessels causing serious damage implied that fishing vessels maintained high speeds until just before the collision and that they collided with much larger vessels. This study investigated the correlation between the severity of ship damage resulting from fishing vessel collisions and the vessel's speed. The effective impact speed commonly used in the road transport sector was utilized to analyze ship collision accidents. The study collected collision data between fishing vessels and between fishing vessels and non-fishing vessels from accident investigation reports from 2016 to 2022. The effective impact speed was calculated for a total of 617 vessels. After using binary and multinomial logistic regression methodology, the analysis was carried out with effective impact speed as the independent variable and severity of accident as the dependent variable. The analysis revealed a statistically significant correlation between the effective impact speed and the severity of ship damage, indicating that the severity of ship damage is influenced not only by the effective impact speed but also by the tonnage of the vessel.

• Journal of Digital Contents Society
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• v.16 no.4
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• pp.595-604
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• 2015

This study aimed to analyze service internship participation determinant contents of undergraduate students who major in airline service to influence their career. To accomplish this purpose, data collected from 211 students were analysed using logistic regression analysis. Personal characteristic, big 5character factors, social support were analysed as service internship determinant contents. The research results showed grade, GPA, broad experience, flight experience among personal characteristics and extraversion among big 5factors personality as significant service internship determinant contents of students. Also, the research results showed career preparation, career decision making self-efficacy and social support as non-significant service internship determinants of students. It was concluded that active participation with service internship is imperative for undergraduate students in airline service major to enhance career competence upon graduation.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.69-78
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• 2016

The purpose of this study is to analyze convergent effects of team interaction and team metacognition of participants on a continuous participation in the university learning community. We developed 19 items of team interaction and 17 items of team metacognition through literature review. The subjects were 113 students who participated in learning community in A university. The results are as follows. First, team interaction level and team metacognition level can affect a continuous participation in learning community. The higher team interaction is and the lower team metacognition is, the higher continuous participation is. Second, among team interaction factors that affect a continuous participation in learning community, the more number of learning is and the more encouragement of one another is, the higher continuous participation is. But the less participation of members is, the less flow to learning is, and the less learning time is, the lower a continuous participation is. Third, among team metacognition factors that affect a continuous participation in learning community, the more number of learning is, the higher continuous participation is. But the more use of various learning tools is and the more learning time is, the lower continuous participation is. Based on these results, the convergent ways of support for continuous participation in the university learning community are as follows. First, supporting system is needed to induce students to experience the positive atmosphere of learning community by increasing number of learning to facilitate team interaction and urging them to encourage one another. Second, providing the effective utilization method is necessary for students to fully acknowledge the necessity and value of team metacognition activity.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.23-28
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• 2022

This paper analyzed the influence of employment, human resource development, and labor practices on the corporate performance. Data were collected from the Korea Labor Institute's workplace panel survey(WPS) from 2017, and the analysis used 2,868 companies. This study employed operating profit as a corporate performance. Employment included open recruitment of new employees, evaluation of NCS job competency, and implementation of core human resources acquisition program. Human resource development consisted of incumbent training, job competency improvement evaluation, management program for low performer, emoloyee's career plan, and HRD using job analysis. Labor practices included guarantees for parental leave, guarantees for maternity leave, and support for childcare facilities. The analysis method used binominal logistic regression analysis for two groups of operating profit surplus and deficit companies. As a result of the analysis, it was possible to confirm the influence of employment, human resource development, and labor practices on performance. And the implications of employment, human resource development, and labor practices to improve corporate performance were discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.5
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• pp.244-252
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• 2018

This study examined the aging of people with severe disabilities experiencing relative alienation and deprivation in an aging society to find ways to make them happy and economically stable. This study identified the determinants of economic preparation for aging among people with severe disabilities using the ecosystem perspective. For this study, data were drawn from Panel Survey of Employment for the Disabled (PSED). A total of 950 samples were used from the eighth wave. Logistic regression analysis was conducted to examine the influence of various factors. As a result, age, level of education, employment, subjective socioeconomic status, self-esteem, income, homeowner, and non-beneficiaries affected the economic preparation for aging. These findings have practical and political implications concerned with improving the economic preparations for aging among people with severe disabilities.

• The Korean Journal of Applied Statistics
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• v.31 no.4
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• pp.497-505
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• 2018

Attacking computer systems using ransomware is very common all over the world. Since antivirus and detection methods are constantly improved in order to detect and mitigate ransomware, the ransomware itself becomes equally better to avoid detection. Several new methods are implemented and tested in order to optimize the protection against ransomware. In our work, 582 of ransomware and 942 of normalware sample data along with 30,967 dynamic action sequence variables are used to detect ransomware efficiently. Several variable selection techniques combined with various machine learning based classification techniques are tried to protect systems from ransomwares. Among various combinations, chi-square variable selection and random forest gives the best detection rates and accuracy.

• Journal of Cadastre & Land InformatiX
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• v.44 no.2
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• pp.231-242
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• 2014

On the Pre-Housing-Sale Systems there are many risks that developers might not fulfill the pre-sale obligations. In korea, in order to protect the people who bought houses from these risk, the Housing Sold Guarantee System was introduced and has been operated. Even though this system if there is accident in the pre-sale warranty business, several problems, such as damages caused to the people who bought the houses, occurs. Therefore, research is needed to Housing Sold Guarantee accident factor. But there are few study about it. This study attempted to analyze influencers on the possibility of the accident. We employ 3,026 data which Korea Housing Guarantee Co., Ltd manages and analyze them empirically, using business characteristics, housing market characteristics, and regional characteristics. Especially this study used to the binary logistic regression model. The results of analysis showed that the accident rate of Housing Sold Guarantee had been effected on the business type, house type, project financing guarantee, operator credit rating, housing market, and regional characteristics.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.95-101
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• 2020

The purpose of this study is to examine the features of students moving to other areas for university education in entrance stage. 2018 K-NSSE data were analyzed, and Chi-square test and binary logistic regression analysis were performed. As a result, many students in Seoul area moved to various areas, but students from local areas moved to Seoul area universities with low percentage. In addition, it was confirmed that there was a difference in socioeconomic background, high school type and academic achievement level, career maturity, and university commitment level among the students group moving from Seoul to the local and from the local to Seoul area. This study suggests that the government needs to provide systematic support to overcome the stratification structure of the university centered on Seoul and to secure diversity of student composition to improve the quality of education and contribute to regional development.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.15-23
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• 2022

There is little research about medical treatment after prison. The purpose of this study is to examine factors influencing mentally-ill prisoner's decision making for medical treatment on release from prison. With the data collected from prisoners in 2019, binary logistic regression was used to analyze the effect of variables on the mentally-ill prisoner's decision making. In result, bipolar disorder, depression, anxiety disorder, and panic disorder decreased the likelihood of answering that I will have no medical treatment plan after prison, whereas lack of experience in receiving medical care increased the likelihood of answering as such. Bipolar disorder, anxiety disorder, counseling, medical treatment, and education had a positive effect on selecting mental hospital in the answer. Depression enhanced the likelihood of choosing mental health center for treatment. Policy implications and directions for future research are discussed.

• Journal of the Korean Regional Science Association
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• v.40 no.1
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• pp.69-88
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• 2024

The study examines the effects of local environmental factors on stress among young and senior single-person households. We analyzed the '2019 Community Health Survey' by employing logistic regression analysis. The empirical results are as follows: First, there are greater differences in stress factors between young single-and multi-person households than senior single-and multi-person households; Second, stress among young single-person households was mainly influenced by physical environmental factors while stress among senior single-person households was influenced by both physical and social environmental factors. The results suggest that customized support at the local level is necessary in consideration of age-specific characteristics and stress vulnerabilities when promoting policies for the promotion of mental health among single-person households.