• Anxiety and mood
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• v.15 no.1
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• pp.35-44
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• 2019

Objective : The aim of this study was to investigate the individual and job related factors as risk factors for mental health of firefighters. Methods : The data of 202 fire-fighters was analyzed by using a multinomial logistic regression analysis. All participants completed self-reported questionnaires including demographics (sex, age, work duration), the Childhood Trauma Questionnaire, the Ways of Coping Checklist, the Colleague related traumatic events, the Korean occupational stress scale, the Korean Perceived Stress Scale-10, and the Beck Depression Inventory. Participants were divided into three groups according to the level of stress and depressive symptom scores: Low Stress-Low Depression (LS-LD), High Stress-Low Depression (HS-LD), and High Stress-High Depression (HS-HD). Results : A job related factor-organizational injustice-was a significant factor related to HS-LD, while individual factors such as active coping level and childhood trauma experience and a job related factor-difficult physical environment-were significantly associated with HS-HD. Conclusion : These results imply the need to take both individual and environmental approaches into account when managing the stress and depression of firefighters. More specifically, psycho-education to facilitate active coping strategy and adaptive emotional regulation at the individual level and the improvement of physical work environment of firefighters should be supported.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.227-233
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• 2020

The purpose of this study is to compare the speed, confidence, and ease of endotracheal intubation in a difficult posture by using the SALT(Supraglottic Airway Laryngopharyngeal Tube), and a direct laryngoscope to improve the ability to implement professional airway management. The subject of the study was an experimental study by a randomized crossover design, targeting 30 first-class emergency medical technicians working in J-do fire station, and the SPSS 20.0 version was used for data analysis. The endotracheal intubation by using SALT showed a significant difference in speed compared to endotracheal intubation by using a direct laryngoscope(p<.001), and also showed a significant difference in confidence and ease(p<.001). If it is difficult to endotracheal intubation by direct laryngoscope, or in the case of trauma patients, if SALT is used, safe and rapid intubation will be possible. In addition, to improve the efficiency of professional airway management, it is believed that the introduction of SALT in domestic sites is necessary.

• Journal of Korean Tunnelling and Underground Space Association
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• v.12 no.3
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• pp.201-213
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• 2010

Recently, plans of tunnel and construction have increased. Unfortunately, the more we have tunnels, the more we have accidents in there. Because an accident or a fire in the tunnel is fatal to user safety, social concerns are focusing on the disaster prevention facilities. Cross passage tunnel is regarded as one of the useful disaster prevention facilities, which is increasing, while there were only few studies about the support system. This study tried to verify whether the support system is appropriate or not with empirical methods-theoretical methods and back analysis using measurement data. Additionally, we also looked into the range of reinforcement in accordance with strength/stress ratio of rock mass.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.300-302
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• 2022

The purpose of this study is to compare the speed, confidence, and ease of endotracheal intubation in a transfer posture by using the SALT(Supraglottic Airway Laryngopharyngeal Tube), and a direct laryngoscope to improve the ability to implement professional airway management. The subject of the study was an experimental study by a randomized crossover design, targeting 28 first-class emergency medical technicians working in J-do fire station, and the SPSS 20.0 version was used for data analysis. The endotracheal intubation by using SALT showed a significant difference in speed compared to endotracheal intubation by using a direct laryngoscope(p<.001), and also showed a significant difference in confidence and ease(p<.001). If it is transfer to endotracheal intubation by direct laryngoscope, or in the case of transfer patients, if SALT is used, safe and rapid intubation will be possible.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.213-215
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• 2022

Recently, deep learning technology that processes images has been widely used in fire detection, autonomous driving, and defective product detection. In particular, in order to determine whether a product is contaminated or not, it can be identified through the contaminants passed from the existing sensor data, but technologies for recognizing cracks in products or contaminants themselves as images are being actively studied in various fields. In this paper, a system for classifying uncontaminated normal cups and contaminated cups through images was designed and implemented. The image was analyzed using an open image and a photographed image, and the image was analyzed by extracting the upper part of the cup image using Google Objectron for 3D object recognition. Through this study, it is thought that it will be used in various ways for research that can extract the contamination level of products required in the hygiene field based on images.

• Steel and Composite Structures
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• v.51 no.3
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• pp.271-288
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• 2024

The primary objective of this study is to investigate the production and performance characteristics of structural concrete incorporating varying proportions (0%, 25%, and 50% by volume) of pumice stone, as well as aluminum lathe as an additive at 0%, 1%, 2%, and 3%, under fire conditions. The experiment will be conducted over a period of up to 1 hour, at temperatures ranging from 24℃, 200℃, 400℃ and 600℃. For the purpose of this, a total of twelve test samples were manufactured, and then tests of compressive strength (CS), splitting tensile strength (STS), and flexural strength (FS) were performed on these samples.Next, a comparison was made between the obtained values and the influence of temperature. To achieve this objective, the manufactured samples were placed at temperatures of 200℃, 400℃, and 600℃ for a duration of 1 hour, and were subjected to the influence of temperature.These values at 24 ℃ were then contrasted with the CS results obtained from test samples that were subjected to the temperature effect for an hour at 200 ℃, 400 ℃, and 600 ℃. A comprehensive analysis of the test outcomes reveals that the incorporation of aluminum lathe wastes into a mixture results in a significant reduction in the compressive strength of the concrete. As a result of this adjustment, the CS values dropped by 32.93%, 45.70%, and 52.07%, respectively. Furthermore, It was shown that testing the ratios of pumice stone alone resulted in a decrease in CS outcomes. Additionally, it was found that the presence of higher temperatures is clearly the primary factor contributing to the decrease in the strength of concrete. Due to elevated temperatures, the CS values decreased by 19.88%, 28.27%, and 38.61% respectively.After this investigation, an equation that explains the connection between CS and STS was provided through the utilization of the data of the experiments that were carried out.

• Journal of Cadastre & Land InformatiX
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• v.46 no.2
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• pp.27-42
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• 2016

Forest accounts for almost 64 percents of total land cover in South Korea. For inventorying, monitoring, and managing such large area of forest, application of remote sensing and geographic information system (RS/GIS) technology is essential. On the basis of spectral characteristics of satellite imagery, forest cover and tree species can be classified, and forest cover map can be prepared. Using three dimensional data of LiDAR(Light Detection and Ranging), tree location and tree height can be measured, and biomass and carbon stocks can be also estimated. In addition, many indices can be extracted using reflection characteristics of land cover. For example, the level of vegetation vitality and forest degradation can be analyzed with VI (vegetation Index) and TGSI (Top Grain Soil Index), respectively. Also, pine wilt disease and o ak w ilt d isease c an b e e arly detected and controled through understanding of change in vegetation indices. RS and GIS take an important role in assessing carbon storage in climate change related projects such as A/R CDM, REDD+ as well. In the field of climate change adaptation, impact and vulnerability can be spatio-temporally assessed for national and local level with the help of spatio-temporal data of GIS. Forest growth, tree mortality, land slide, forest fire can be spatio-temporally estimated using the models in which spatio-temporal data of GIS are added as influence variables.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.216-223
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• 2019

This study was conducted to identify the effects of patient safety competency on patient safety management practice by nursing students and provide basic data for the development of the program to improve patient safety management practice. Participants were 293 fourth year nursing students who had clinical practice as student nurses for more than one year. Data were collected from April 26 to May 9, 2018. Collected data were analyzed for frequency, percentage, mean, standard deviation, t-test, ANOVA, Pearson' s correlation coefficient, and multiple regression with SPSS/WIN 24.0 computer program. Nursing students' patient safety competency was an average $2.90{\pm}0.38$ points (patient safety knowledge $2.68{\pm}0.65$; patient safety skills $3.26{\pm}0.56$; patient safety attitudes $2.75{\pm}0.40$). The average core of management practices to patient safety recorded $4.13{\pm}0.57$ points. In terms of the correlation among subjects' patient safety knowledge, skills, attitudes and patient safety management practices, significant correlation existed between skills and management practices (r=.337, p<.001), attitudes and management practices (r=-.150, p =.010), knowledge and management practices (r=.171, p=.003). Regression analysis revealed that 15.7% of the variance in patient safety management practice by nursing students could be explained by patient safety skills (${\beta}=.307$, p<.001), patient safety accident experience of Fire (${\beta}=-.127$, p=.026), patient safety attitudes (${\beta}=-.121$, p=.026), and patient safety accident experience of patient education (${\beta}=-.119$, p=.034). Additional studies to determine the various factors affecting patient safety management practice of nursing students and to develop educational program for increasing patient safety management practice should be conducted.

• Korean Chemical Engineering Research
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• v.57 no.2
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• pp.274-282
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• 2019

In recent years, big data analysis has been expanded to include automatic control through reinforcement learning as well as prediction through modeling. Research on the utilization of image data is actively carried out in various industrial fields such as chemical, manufacturing, agriculture, and bio-industry. In this paper, we applied NASNet, which is an AutoML reinforced learning algorithm, to DeepU-Net neural network that modified U-Net to improve image semantic segmentation performance. We used BRATS2015 MRI data for performance verification. Simulation results show that DeepU-Net has more performance than the U-Net neural network. In order to improve the image segmentation performance, remove dropouts that are typically applied to neural networks, when the number of kernels and filters obtained through reinforcement learning in DeepU-Net was selected as a hyperparameter of neural network. The results show that the training accuracy is 0.5% and the verification accuracy is 0.3% better than DeepU-Net. The results of this study can be applied to various fields such as MRI brain imaging diagnosis, thermal imaging camera abnormality diagnosis, Nondestructive inspection diagnosis, chemical leakage monitoring, and monitoring forest fire through CCTV.

• Journal of the Korea Institute of Building Construction
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• v.15 no.5
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• pp.515-525
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• 2015

Currently, according to the climate change, serious damage by typhoon has been occurred in the world. In this respect, the research on the prediction model to minimize the damage from various natural disaster has been conducted in several developed countries. In the case of U.S, various models to predict building damage costs have been used widely in many organizations such as insurance companies and governments. In South Korea, although studies regarding damage prediction model according to typhoon have been conducted, the scope has been only limited to consider the property of typhoon. However, it is necessary to consider various factors such as typhoon information, geography, construction environment, and socio-economy factors to predict the damages. Therefore, to address this issue, first, correlation analysis is conducted between various variables based on the data of typhoon from 2003 to 2012. Second, the damage prediction model by using regression analysis is developed based on suggested influence factors. The findings of this study can be utilized to develop the model for predicting the damage costs of buildings by typhoon like HAZUS-MH of US.