• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.10a
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• pp.233-234
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• 2013

IMO에서는 피로(Fatigue)를 정신력, 체력, 신속성, 반응시간, 기능의 조화, 의사결정, 마음의 안정 등을 포함한 모든 육체적, 정신적 또는 감정적인 소모의 결과로 인하여 인간의 육체적 또는 정신적 능력이 저하되는 것 즉, 인간의 효율성의 감소라고 정의하고 있다. 선박승무원의 피로는 선박안전운항과 해양환경보호를 위한 업무수행능력(Performance)에 영향을 미칠 뿐만 아니라 승선중인 선박승무원의 건강(Health)과도 밀접한 관계가 있으며 또한 많은 영향을 미치게 된다. 본 연구에서는 선박승무원의 피로에 영향을 미치는 다양한 요인과 그로 인한 효과들을 살펴보고 피로와 선박승무원의 건강과의 관련성 및 그 영향 등에 대하여 고찰을 하고자 한다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.18 no.2
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• pp.108-116
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• 2014

The proper stress history measurement should be conducted in order to examine the accurate cause of fatigue cracks or the fatigue safety in the steel bridge. Only one strain gauge is generally installed in the field for the stress history examination because of the field circumstances, economic feasibility, workability, and so on. However, this method may not consider the actual size of the specific structure, the gauge length, and the affect of stress concentration in the welded joint. In addition, it is difficult to apply for the stress analysis. Therefore, this study suggests improvements that are a great number of gauge installations, the gauge location adjustment, and the use of the minimum length gauge. It is drived the correlative equation of strain for the distance between the welding toe and the strain gauge installation, and compare correlative equation with equation of IIW. Also, this study could estimate the remaining life and fatigue damage of bridge in service by selecting the suitable stress category. In conclusion, it is possible to understand the member which is high in the fatigue cracks, and the quantitative relations between the welding toe and the strain gauge installation distances. The proposed approach in this study can make an more accurate fatigue damage and a remaining life prediction so that the improved method should be applied in measuring the strain of bridges from now on.

• The Journal of the Korea Contents Association
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• v.14 no.3
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• pp.223-231
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• 2014

This study aims to identify job stress of firemen and the relations between their job stress, depression and fatigue, targeting firemen who are working for local fire stations. We interviewed the subjects using a short-answer type questionnaire or a online questionnaire. The data collected were analysed with a use of SPSS WIN 15.0 for confidence analysis, correlation analysis, step-by-step multi-regression analysis, and covariance structure analysis(CSA). This study result tasks and emotional stress had a direct effect on depression and fatigue. Therefore, this study suggests that governmental management should be provided for firemen that are classified as a high-risk group in occupational characteristics. Above all, the causes of stress should be diagnosed, its management goals should be set, and effective intervention programs should be provided.

• Journal of the Korean Society of Radiology
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• v.17 no.2
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• pp.257-265
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• 2023

The purpose of this study was to vaccinate every year according to the general characteristics of COVID-19, whether to vaccinate every year according to the vaccination experience, whether to vaccinate every year according to knowledge/attitude about vaccination, and negative responses to the vaccinate every year In order to understand the factors affecting the vaccination physician every year by identifying the factors of Statistical analysis is based on general characteristics, variables based on vaccination experience, and knowledge/attitudes related to vaccination. The doctor calculates the frequency and percentage, A square test (-test) was performed, and if the chi-square test was significant but the expected frequency was less than 5 for 25% or more, a ratio difference test was performed with Fisher's exact test. Through multiple logistic regression analysis using variables that were significant in simple analysis, a predictive model for future vaccination and the effect size of each independent variable were estimated. As statistical analysis software, SAS 9.4 (SAS Institute Inc., Cary, NC, USA) was used, and because the sample size was not large, the significance level was set at 10%, and when the p-value was less than 0.10, it was interpreted as statistically significant. In the simple logistic regression analysis, the reason why they answered that they would not be vaccinated every year was that they answered 'to prevent infection of family and hospital guests' rather than 'to prevent my infection' as the reason for the vaccination. It was 11.0 times higher and 3.67 times higher in the case of 'for the formation of collective immunity of the local community and the country'. The adverse reactions experienced after the 1st and 2nd vaccination were 8.42 times higher in those who did not experience pain at the injection site than those who did not, 4.00 times higher in those who experienced swelling or redness, and 5.69 times higher in those who experienced joint pain. There was a 5.57 times higher rate of absenteeism annually than those who did not. In addition, the more anxious they felt about vaccination, the more likely they were to not get the vaccine every year by 2.94 times.