• Journal of the Korean Society of Hazard Mitigation
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• v.11 no.1
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• pp.29-35
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• 2011

This study not only investigates emergency medical personnel's posttraumatic stress(PTS), social support, work burden, and coping style but also identifies related factors which were exerted influence on PTS and active coping method of emergency medical personnels among the firefighters. The data were gathered from 143 emergency medical personnels who were receiving training. The data were collected by IES-R, consisting of twenty-two questions that determine the level of PTS, method used in Cho's research(2000) that deal with work burden, method used in Oh's article (2006) relating to social support, and sixty-two questions that deals with coping methods. Then the data gathered were analyzed using SPSSWIN 14.0 program. PTS of general characteristics showed significant difference in age, marriage status, education, and position. High risk group of PTS was 74(51.7%). Work burden, active and passive coping method, and three symptoms in PTS are significantly high(p=0.000) in high risk group. PTS was correlated with work burden(r=0.508, p=0.000), active coping method(r=0.375, p=0.000), and passive coping method(r=0.505, p=0.000) but not with social support. Related factors of PTS were work burden(0.371) and passive coping method(0.366). Also related factors of high risk group of PTS were work burden(odds ratio=1.064, 95% confidence interval:1.031-1.103) and passive coping(odds ratio=1.050, 95% confidence interval:1.022-1.080). Related factors of active coping method were PTS(0.392) and social support(0.158). To minimize the PTS of emergency medical personnels, the new policy should decrease their work burden and passive coping method and strengthen the social support to encourage active coping method.

• Korean Journal of Remote Sensing
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• v.38 no.6_3
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• pp.1827-1836
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• 2022

Disasters that occur unexpectedly are difficult to predict. In addition, the scale and damage are increasing compared to the past. Sometimes one disaster can develop into another disaster. Among the four stages of disaster management, search and rescue are carried out in the response stage when an emergency occurs. Therefore, personnel such as firefighters who are put into the scene are put in at a lot of risk. In this respect, in the initial response process at the disaster site, robots are a technology with high potential to reduce damage to human life and property. In addition, Light Detection And Ranging (LiDAR) can acquire a relatively wide range of 3D information using a laser. Due to its high accuracy and precision, it is a very useful sensor when considering the characteristics of a disaster site. Therefore, in this study, development and experiments were conducted so that the robot could perform real-time monitoring at the disaster site. Multi-sensor module was developed by combining LiDAR, Inertial Measurement Unit (IMU) sensor, and computing board. Then, this module was mounted on the robot, and a customized Simultaneous Localization and Mapping (SLAM) algorithm was developed. A method for stably mounting a multi-sensor module to a robot to maintain optimal accuracy at disaster sites was studied. And to check the performance of the module, SLAM was tested inside the disaster building, and various SLAM algorithms and distance comparisons were performed. As a result, PackSLAM developed in this study showed lower error compared to other algorithms, showing the possibility of application in disaster sites. In the future, in order to further enhance usability at disaster sites, various experiments will be conducted by establishing a rough terrain environment with many obstacles.