• Journal of Internet Computing and Services
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• v.17 no.4
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• pp.61-68
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• 2016

In this paper, an implementation method of augmented reality (AR) technology using Web 3.0 information services in the field of disaster response is proposed. The structure and characteristics of semantic web-based Web 3.0 are realized and a AR based mobile visual search (MVS) applied in the disaster sites is described. Based on Web 3.0 and AR MVS, a semantic web ontology oriented configuration scheme for disaster-related information and the communication scheme of information provided by AR technology are proposed. For the purpose of providing disaster-related and customized information to the disaster response site quickly and accurately, a method of leveraging Web 3.0 information services in AR technology is presented.

• Journal of the Society of Disaster Information
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• v.7 no.2
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• pp.110-122
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• 2011

In this study, the disaster management and disaster medical improvement was described in underground space(specifically underground shopping center) in case of fire disaster occurred. Firstly, statue and system was discussed concerning building law, safety, fire services, refuge. The underground in Seoul management is classified as to space and form and management agent is different according to the type form. Because the difficulty of emergency rescue arises due to individual management system unified system needs to be established and improvement of facility management agent is necessary. For the patient to be transfer on the ground, corporation between command head quarter and emergency rescue team are essential. And disaster information and emergency medical information are also need to be considered. Therefore, effective countermeasures for emergency saving is urgent considering distribution of medical institution and medical treatment.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.492-492
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• 2021

최근 세계적으로 기상이변에 의해 한파와 폭설이 발생하고 있으며, 이로 인한 피해를 예측하기 어려워 졌다. 우리나라의 대설피해는 지역별로 상이해 강설 특성을 파악하기 위해 강설자료와 과거의 기상현상자료를 분석하여야 한다. 대표적인 대설피해로 설압피해, 적설피해, 착설피해와 간접피해로 분류 되며 시설재배면적에 가장 많은 영향을 미치는 설압피해는 쌓인 눈의 압력으로 인하여 파손 및 붕괴를 유발한다. 본 연구에서는 과거 재해연보 자료(1994년~2018년)와 기상청에서 제공되는 적설자료를 활용해 대설피해 관련 자료를 수집 및 분석하여 온실에 손상을 입힐 수 있는 적설심을 분석하였다. 로지스틱 회귀분석을 위한 자료 구축은 재해연보의 피해기간을 기반으로 하여 종속변수로 사용하였다. 이후 적설심자료를 최심신적설로 변형하였으며 온도와 함께 독립변수로 사용하였다. 우리나라의 대설 사례가 많은 영동지역은 강설빈도가 높아 대설 방지대책 및 대설 연구자료가 다른 지역에 비해 많은 것으로 판단된다. 이에 따라 최근 빈도가 증가하고 있으며 대설피해 사례가 10건 이상이고 관측지점이 피해지역과 가까운 지역, 적설관측자료가 연속적으로 관측되어 있는 남원, 보령, 장수, 부안을 공간적 범위로 선정하였다. 연구의 결과로 대설 피해 재난관리가 가능한 적설심 기준 설립에 도움을 줄 것으로 판단된다.

• Journal of Korean Society of Disaster and Security
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• v.9 no.2
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• pp.87-91
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• 2016

In recent years, lots of damages appear frequently due to cyber terrorism and natural disasters such as typhoon 'Chaba', earthquake at Kyeongju. The damages lead to people's anxiety and public institutions connected directly with them also can't be free from the threat situation. In addition, public institutions must prepare business continuity issues with the highest priority in the event of disasters because they are closest with people's safety. However, preceding researches suggest needs of disaster mitigation activities management system or central office oriented top-down BCP establishing system. In this study, We grasp the current status of public institutions's business continuity plan(BCP) against disaster and we propose an efficient bottom-up method for structuring the BCP of public institutions.

• Journal of the Society of Disaster Information
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• v.16 no.2
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• pp.248-266
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• 2020

Purpose: The purpose of this study is to create a checklist for each type of disaster and to suggest a method for establishing an appropriate response system and making accurate and rapid decision-making. Method: In order to derive checklist factors, previous case analyses (Tropical Storm Rusa (2002), Typhoon Maemi (2003), and Typhoon Chaba (2016) were conducted for typhoon disaster. Grouping was conducted to derive checklist factors by analyzing general status (climate and weather) information and characteristics by case. Result: The case study was divided into national level and county level. In terms of national unit, eight forecasts were included: weather forecast, typhoon landing status, typhoon intensity, typhoon radius, central pressure, heavy rain conditions, movement speed, and route. Local governments should reflect regional characteristics, focusing on the presence or absence of similar typhoons (paths) in the past, typhoon landing time, regional characteristics, population density, prior disaster recovery, recent disaster occurrence history, secondary damage, forecast warning system. A total of eight items were derived. Conclusion: In the event of a disaster, decision making will be faster if the checklist proposed in this study is used and applied. In addition, it can be used as the basic data for disaster planners' response plans in case of disasters, and it is expected to be a more clear and quick disaster preparedness and response because it reflects local characteristics.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1101-1104
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• 2021

최근 COVID-19(코로나 바이러스 감염증) 확산에 따라 다양한 분야에서 힘든 상황이 이어지고 있다. 중앙 재난 안전 대책본부에 따르면 지난 2월 한 달간 코로나 안전신고는 약 2만 5천 건의 방역수칙 위반 신고가 들어온 것으로 집계됐다. 이에 따라 음식점 및 매장은 QR코드. 수기 작성을 통한 동선 체크, 온도 검사 등 코로나 확산을 방지하기 위한 방법을 시행하고 있지만 이는 단지 코로나 확산 방지를 위한 대책 일뿐 소상공인의 매장 운영이나 안정적인 영업 유지 등 직접적인 영향을 줄 수 없다. 이에 본 논문은 OpenCV를 활용한 고객 출입 관리 시스템을 제안한다. 본 시스템은 OpenCV 영상처리기술을 활용하여 매장을 방문하는 고객의 나이, 성별을 수집하여 주요 고객층 분석, 출입 현황 및 이용 시간을 파악한다. 본 시스템은 코로나 확진자 동선 파악을 위한 역학조사와 소상공인의 효율적인 매장 운영 시간을 분석하여 '코로나 확산 방지', '소상공인 매출 증가'의 기대 효과를 얻을 수 있다. 향후, 제안하는 기법의 실질적인 검증을 위해 실제 매장 환경에서의 테스트가 필요하다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1756-1761
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• 2021

Although the COVID-19 outbreak that occurred in Wuhan, Hubei around December 2019, seemed to be gradually decreasing, it was gradually increasing as of November 2020 and June 2021, and estimated confirmed cases were 192 million worldwide and approximately 184 thousand in South Korea. The Central Disaster and Safety Countermeasures Headquarters have been taking strong countermeasures by implementing level 4 social distancing. However, as the highly infectious COVID-19 variants, such as Delta mutation, have been on the rise, the number of daily confirmed cases in Korea has increased to 1,800. Therefore, the number of cumulative confirmed COVID-19 cases is predicted using ARIMA algorithms to emphasize the severity of COVID-19. In the process, differences are used to remove trends and seasonality, and p, d, and q values are determined and forecasted in ARIMA using MA, AR, autocorrelation functions, and partial autocorrelation functions. Finally, forecast and actual values are compared to evaluate how well it was forecasted.