• Fire Science and Engineering
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• v.32 no.2
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• pp.57-66
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• 2018

The most urgent requirement in the event of disaster and fire in a skyscraper is to establish a system that enables people inside to evacuate safely. Hence, a practical direction needs to give evacuees confidence in the evacuation by reducing the psychological anxiety caused by the relatively large number of people inside and at the same time, the physically prolonged evacuation travel line. Evacuation tests with large numbers of people were conducted three times to solve these challenges and identify phenomena and issues that occurred during the experiment. The results revealed the factors that could cause a delay in evacuation and suggested improvements. The study results of this paper are as follows. First, a recent fire at a multipurpose high-rise resulted in a number of casualties due to a lack of experience with the disaster prevention system. To prevent such cases from occurring in advance, adaptability was achieved by conducting evacuation tests. Second, the data collected in the evacuation simulation statistics and the actual escape drills were compared and analyzed. Third, in the evacuation experiment, a large number of people could not participate in the experiment. The reasons for not participating were analyzed and their impact on the actual evacuation time was confirmed. Fourth, equipment aids were purchased to establish the optimal response measure to the causes of a delay in escape time and the standards for ensuring the safety of the evacuee were specified by developing improvements to minimize the evacuation delay time through comparative before and after analysis of the experiment. These results can be used for fire safety control of skyscrapers to improve the efficiency of evacuation.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.4
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• pp.723-733
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• 2016

This study aims to analyze the effects of urban characteristics on the amount of damage caused by natural disasters. It is focused on the areas of a municipal level in Korea. Also, it takes into account the spatial autocorrelation of the damage caused by natural disasters. Moran's I statistics was estimated to examine the spatial autocorrelation in the damage from the study area. Subsequent to evaluating the suitability for spatial regression models and the OLS regression model, the spatial lag model was employed as an empirical analysis for the study. It showed that the increase in residential area leads to the decrease in the amount of natural disaster damage. On the other hand, the increase in green area and river basin is associated with the increase in the damage. As a result of empirical analysis, appropriate policy establishment and implementation about the damage-adding factors is needed in order to reduce the amount of damage in the future.

• Journal of the Society of Disaster Information
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• v.19 no.4
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• pp.916-923
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• 2023

Purpose: Looking at the status of fatal accidents in the construction industry in the 2022 Industrial Accident Status Supplementary Statistics, 27.8% of all fatal accidents in the construction industry are caused by construction equipment. In order to overcome the limitations of tours and inspections caused by the enlargement of sites and high-rise buildings, we plan to build a model that can extract construction equipment using computer vision technology and analyze the model's accuracy and field applicability. Method: In this study, deep learning is used to learn image data from excavators, dump trucks, and mobile cranes among construction equipment, and then the learning results are evaluated and analyzed and applied to construction sites. Result: At site 'A', objects of excavators and dump trucks were extracted, and the average extraction accuracy was 81.42% for excavators and 78.23% for dump trucks. The mobile crane at site 'B' showed an average accuracy of 78.14%. Conclusion: It is believed that the efficiency of on-site safety management can be increased and the risk factors for disaster occurrence can be minimized. In addition, based on this study, it can be used as basic data on the introduction of smart construction technology at construction sites.

• Journal of the Korea Safety Management & Science
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• v.15 no.4
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• pp.105-111
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• 2013

This study aimed to identify the recognition of fire risks on their field operations among firefighters and contribute to setting up safety measures accordingly. A self-administered questionnaire were used to evaluate their recognition of job risks. About 93.4% of respondents answered they have exposed to job risks and 73.4% answered that they had high safety awareness. Our study showed that the lower service years and ranks the fire officers had, the lower relevance in statistics their awareness of the risk of the field operations and safety concerns had. The vulnerable group is those aged 20 to 39, with under 10 years of service, at a lower rank of senior fire sergeant. The study suggests coming up with the measures to motivate the officers to perform safe operations by improving their safety awareness.

• Journal of the Korean Society of Safety
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• v.32 no.4
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• pp.79-88
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• 2017

The purpose of this study is to analyze the effects of personal, job, and health care characteristics of firefighters on musculoskeletal disorders (MSDs) and job stress. This survey was participated 591 firefighters in jeonnam and Busan city. The survey consisted of 1) personal, job, and health care characteristics measurement, 2) job stress measurement (KOSS, Korean Occupational Stress Scale), 3) musculoskeletal disorders symptoms mesurement. The analysis of the data was using SAS 9.1 Ver. The statistics analysis was performed the frequency, percentage, average, and standard deviation for each survey item. The Chi square analysis was performed to analyzed the effects of personal, job, and health care characteristics on MSDs and job stress. According to the results of the study on musculoskeletal disorders symptoms, 49.6% of the subjects perceived pain related to musculoskeletal diseases. The total score for job stress was 51.6 (SD 12.9), which was the highest 50% when compared to the Korean job stress standard (male). Age, department, work experience, working type, position, and sleeping time were found to affect musculoskeletal disorders and job stress.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2006.11a
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• pp.105-112
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• 2006

Freak waves in the ocean are recently drawing much attention as a natural disaster to ocean structures and navigating ships as well. Several observation data, among them the Draupner New Year Wave, show the very impressive feature of Freak waves whose wave height is up to three times as high as the significant wave height of surrounding waves, In addition, Freak wave appears as an isolated very high crest in somewhat stationary random waves of same order in their wavelengths. Bearing such characteristics in mind, one notices its extraordinary steepness. This strongly suggests that Freak wave is not long lived but transient nature on the whole. A great number of studies to explain these natures were published from both theoretical and numerical point of view. However it is not sure if they are applicable to actual ocean environment. In this paper, we deal with the results concerning abnormal and/or Freak waves from in-situ ocean wave data and point out several remarks to the problems lain behind the contributions in this context. A physical experiment is described to reinforce the subject discussed from the observation data.

• Fire Science and Engineering
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• v.22 no.5
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• pp.9-21
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• 2008

The objective of this study is to suggest a fire prevention measure for suppressing and preventing loss of precious human lives and property damages. The characteristics of incendiary fire are analyzed in terms of fire engineering to review a plan for promoting for coping with the risk. In this study, a medical aspect such as mental and psychological analysis of the motive or act of an incendiary and legal and administrative problems such as the penalty for the incendiary are not included in the scope of the study. Fire statistics data of Korea, Japan, and U.S. are investigated for analysis of actual states of incendiary fire occurrences. In particular, to quantitatively recognize the burning characteristics of common fire and the burning characteristics of incendiary fire, a fire model test and computer simulation were performed. And a plan for promoting the optimal incendiary fire prevention measure were suggest.

• Journal of The Korean Society of Agricultural Engineers
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• v.55 no.3
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• pp.85-89
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• 2013

In the current domestic, many industrial accidents have happened. And these are analyzed according to several factors. But it is difficult that they evaluate their business safety. Thus, we conducted a study on business specific safety assessment techniques in order that business know their safety level and perform appropriative safety activities. Study methods are survey and AHP (Analytic Hierarchy Process). Each specific weighting factors to calculate the survey was conducted for safety and consulting experts (20 persons). Weight factor was used to AHP decision support as one of the ways through a number of alternatives to the ratings for the Minesota Multiphasic. Factors are each type of industry, specific industrial scale, disaster type and strength, worker age and tenure period, and region. First, survey was conducted with 20 professionals to estimate the weighting factors. Weights between factors using the AHP analysis tool based on the mean values were calculated. Second, last 3 years between the industrial accidents statistics were used to calculate the weights for each of the rating factors in the Occupational Safety and Health Agency. Grade weights between each factor which was based on the rating of each factor was calculated as the average of three years. Finally, the weights between each factor and the grade weights for each factor using the safety level of the enterprise were calculated so that you can evaluate the weighting.

• Journal of the Korea Safety Management & Science
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• v.17 no.4
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• pp.113-121
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• 2015

This study aims to examine the risk of electrical fire in places where electric heat wires are used. In general, the use of electric heating wires is becoming more common and prevalent in a bid to prevent increasing damage caused by freezing and bursting in residential water pipes, factory pipes and irrigation pipes in vinyl greenhouse and a variety of heat wire products are available in market with legal safety requirements imposed on them. However, the widespread use of anti-freezing burst heat wire products has caused increasing incidents of fire, which often fail to be incorporated into statistics due to quick onsite extinguishing and insignificant damage although damage is gradually on the rise. Against this backdrop, this study aims to look into the possibility of ignition caused by electric heat wires and the mechanism of how it turns into catching fire through overheat and short circuit tests for anti-freezing burst electrical heat wires (hereinafter called the 'heat wire') and expects to serve as the basis for further observations and analyses on the cause of fire and the process of ignition in a scientific manner.

• Korean Journal of Occupational Health Nursing
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• v.24 no.3
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• pp.224-234
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• 2015

Purpose: The purpose of this study was to identify family stress, somatization, social support, depression and its influencing factor among middle-aged workers. Methods: The research was cross-sectional descriptive study. The subjects were 212 middle-aged workers living in Seoul and Gyeonggi-do. Data collection was done from May 21 to 31, 2015 using self-reported structured questionnaires asking about general characteristics, family stress, somatization, social support and depression. Data were analyzed using descriptive statistics, independent sample t-test, one way ANOVA, Pearson's correlation coefficient, stepwise multiple regression with SPSS/WIN 19.0 program. Results: Mean score of family stress was 41.67 (range: 25~125), somatization 17.42 (range: 12~60), social support 69.79 (range: 12~84) and depression 13.01 (range: 0~60) and reported as depression in 34.0%. Social support (${\beta}=-.36$, p<.001), somatization (${\beta}=.28$, p<.001), family stress (${\beta}=.15$, p=.014) had significant association with depression and the most important variable was social support. Conclusion: It is suggested to check social support system in middle aged workers and needed to reinforce social support of community based on the relation of occupational category. Also, it is necessary to legalize the institutional devices to prevent and control depression to ensure industrial safety and disaster prevention.