• 수산해양교육연구
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• 제26권5호
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• pp.979-990
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• 2014

Recently the frequency of coastal disasters caused by global warming is increasing and the damage is becoming greater. Therefore, the Korean government is establishing various policies and measures to minimize damage. For disaster prevention, this study will evaluate the disaster response capacity of each local resident(Eup/Myeun/Dong) in coastal areas through the survey. The purpose of this study is to quantitatively understand the disaster response capacity and analyze spatial autocorrelation between hot spots(vulnerable area) and cold spots. Thus this study was conducted a survey of 311 towns(Eup/Myeun/Dong) about the disaster response capacity of coastal residents. As a result, Namhae has the highest average score(4.9). On the contrary, Hampyeong has the lowest(1.6). Coastal residents in Namhae seem to have better understanding of first aid and preventive maintenance. But coastal residents in Hampyeong seem to not have these characteristics. Afterwards, this study builds a database of disaster response capacity, and analyzes it using the spatial autocorrelation method. Finally, the area of hot spots and cold spots for disaster response capacity was quantitatively detected.

• 한국재난정보학회:학술대회논문집
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• 한국재난정보학회 2022년 정기학술대회 논문집
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• pp.341-342
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• 2022

본 논문에서는 실내 재난 상황에서 재실자의 위치를 판단하기 위한 Frequency Modulated Continuous Wave(FMCW) 레이더 시스템의 정확도 향상을 위한 Generative Adversarial Networks(GAN) 기반의 신호 보간법을 제안한다. 제안된 실내 위치 추정 시스템은 딥러닝 학습 생성 모델을 활용하게 되는데, 학습을 위한 데이터의 수집이 용이하지 않아 부족하게 되는 학습데이터를 GAN 기법을 통해 확보하고자한다.

• Smart Structures and Systems
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• 제29권3호
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• pp.475-484
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• 2022

The loss of cable tension for civil infrastructure reduces structural bearing capacity and causes harmful deformation of structures. Currently, most of the structural health monitoring (SHM) approaches for cables rely on contact transducers. This paper proposes a cable tension identification technology using percussion sound, which provides a fast determination of steel cable tension without physical contact between cables and sensors. Notably, inspired by the concept of tensioning strings for piano tuning, this proposed technology predicts cable tension value by deep learning assisted classification of "percussion" sound from tapping a steel cable. To simulate the non-linear mapping of human ears to sound and to better quantify the minor changes in the high-frequency bands of the sound spectrum generated by percussions, Mel-frequency cepstral coefficients (MFCCs) were extracted as acoustic features to train the deep learning network. A convolutional neural network (CNN) with four convolutional layers and two global pooling layers was employed to identify the cable tension in a certain designed range. Moreover, theoretical and finite element methods (FEM) were conducted to prove the feasibility of the proposed technology. Finally, the identification performance of the proposed technology was experimentally investigated. Overall, results show that the proposed percussion-based technology has great potentials for estimating cable tension for in-situ structural safety assessment.

• 한국항행학회논문지
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• 제13권5호
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• pp.699-704
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• 2009

지구 온난화 및 환경 파괴 등으로 인해 재난 발생 빈도가 높아지고, 피해 또한 가속화됨에 따라 실시간 환경 변화의 인식을 통한 재난 안전에 대한 요구가 증가하고 있다. 특히 국지적 기후 변화로 인한 피해가 높게 발생하고 있는 실정이다. 이에 지역적 재난 안전에 대한 대처 방안이 요구된다. 본 논문에서는 동해안의 해상 기상 악화로 사고발생 우려가 높아지고 있는 해안 방파제를 대상으로 무선 센서 기술을 통합하는 재해 안전 모니터링 시스템을 제시하고자 한다. 제시된 재난 안전 시스템은 실시간 원격지 상황 정보와 예측시스템을 통해 발생 가능한 위기상황을 파악하고 재해예방 및 피해를 감소시키는데 많은 도움을 제공할 수 있을 것이다.

• 한국위성정보통신학회논문지
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• 제10권1호
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• pp.12-16
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• 2015

본 논문에서는 아마추어 무선 HR(HAM Radio)을 기반으로 구축되는 새로운 무선 재난통신망인 이동단말용 위성 통신 무선패키지 시스템을 소개하고, D2D 다중 홉 기반의 재난통신망 접속에서 D2D 단말이 인접 기지국과 D2D 그룹들에 의해 간섭을 받는 간섭 시나리오를 구성하였다. 이러한 간섭 시나리오에서 D2D 단말이 재난통신시 필요한 채널용량 확보하고 재난통신망에 원활하게 접속, 통신할 수 있도록 주파수 재할당 방법을 제시하였고, 제안한 기법의 성능을 컴퓨터 시뮬레이션을 통해 기존 알고리즘 대비 시스템 Throughput 성능 개선 및 BER 성능에서 최대 1.5dB 이득이 있음을 확인하였다.

• 한국컴퓨터정보학회논문지
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• 제24권9호
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• pp.109-117
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• 2019

This study was attempted to provide fundamental data in a disaster response education program by comparing the differences between students of the paramedic and nursing in ego-resilience, disaster-experience and core competencies of disaster response. The data is collected from March 2 to April 2, 2019, on a total of 358 students (196 paramedic students and 162 nursing students) based in Jeolla Province. The structured questionnaire were used as research tools and the collected data were analyzed by using the SPSS program as frequency, percentage, t-test, ANOVA and Pearson's correlation coefficient. The average score of total ego-resilience among the subjects was 86.97 out of 125 points. The number of paramedic students who experienced or witnessed the disaster situation in person was 11.2%, and the number of nursing students was 11.7%. The core competence of disaster response was 3.21% in paramedic students and 3.16% in nursing students. The ego-resilience of the paramedic and nursing students according to their general characteristics is statistically significant differences (t=2.797, p<.005) and the paramedic students has an average score of 3.52 points, which is higher than the nursing students (3.42 points). General characteristics and experience in disasters are statistically significant differences (t=2.797, p<.005), paramedic students had more disaster experiences (3.11 points) than nursing students (2.67 points). It indicated the static correlation relationship between ego-resilience, disaster experience and core competences of disaster response (p<.000). Through this study, the paramedic students were found to be more ego-resilience, more disaster experience and more critical capacity for disaster treatment than nursing students.

• Advances in Computational Design
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• 제5권1호
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• pp.91-109
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• 2020

Over the past few decades, the impact of natural, manmade and natech (natural hazard triggering technological disasters) disasters has been devastating, affecting over 4.4 billion people. In spite of recent technological advances, the increasing frequency and intensity of natural disasters and the escalation of manmade threats is presenting a number of challenges that warrant immediate attention. This paper explores the integration of drones or Unmanned Aerial Vehicles (UAV's) into infrastructure monitoring and post-disaster assessment. Through reviewing some of the recent disasters, effectiveness of utilizing UAV's in different stages of disaster life cycle is demonstrated and needed steps for successful integration of UAV's in infrastructure monitoring, hazard mitigation and post-incident assessment applications are discussed. In addition, some of the challenges associated with implementing UAV's in disaster monitoring, together with research needs to overcome associated knowledge gaps, is presented.

• 한국방재학회:학술대회논문집
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• 한국방재학회 2007년도 정기총회 및 학술발표대회
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• pp.323-326
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• 2007

Recently, occurrence frequency of natural disasters decrease but scale of damage increase remarkably by the Climate change due to global warming. Especially, extreme heat become more critical weather problem in the Korean Peninsula. But, we don't have exact threshold about extreme heat. Extreme heat does not classify into natural disaster. Therefore, we have compared death count of the natural disaster with the one of extreme heat at Seoul, Korea. As a result, the number of death by extreme heat don't smaller than one by the natural disasters and we knew extreme heat have also to consider as natural disaster.

• Journal of Information Technology Applications and Management
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• 제15권2호
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• pp.67-82
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• 2008

Risk that breed large size disaster is happening variously for cause at social. natural a management. Incidence and damage scale are trend that increase rapidly than past. In these circumstance, to keep operational continuity of organization, area, society, risk management action that establish systematic counter measure estimating and analyze occurrence possibility and expectation damage of risk is essential indispensable issue and the best countermeasure. Risk management action does by main purpose establish optimum disaster reduction countermeasure. To deduce various countermeasure, process that estimate and analyze occurrence possibility and expectation damage of risk is essential indispensable issue. Therefore, this paper studies process design that can presume risk occurrence frequency and damage scale through distribution of probability.

• 지역사회간호학회지
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• 제30권2호
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• pp.217-225
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• 2019

Purpose: The purpose of this study is to assess socio-demographic, disaster-related, physical health-related, psychological, and social factors that may adversely affect disaster victims' QoL (Quality of Life). Methods: A cross sectional study was designed by using the secondary data. From the 3rd Disaster Victims Panel Survey (2012~2017), a total of 1,659 data were analyzed by using descriptive statistics including frequency, percentage, t-test, ANOVA, and multivariate linear regression. Results: Older people with lower health status lacking financial resources prior to a disaster were more at risk of low levels of QoL. Lower levels of perceived health status, resilience, and QoL were reported by disaster exposed individuals, while their depression was higher than the depression in the control group of disaster unexposed ones. Resilience, social and material supports were positively associated with QoL whereas depression and PTSD (Post-Traumatic Stress Disorders) were negatively associated. Conclusion: These findings suggest that psychological symptoms and loss due to disasters can have adverse impacts on the QoL of disaster victims in accordance with their prior socio-demographic background. They also indicate that targeted post-disaster community nursing intervention should be considered a means of increased social support as well as physical and mental health care for disaster victims.