• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.173-174
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• 2022

최근 건설업계의 높은 사고율을 줄이기 위한 노력의 일환으로 스마트 건설 안전 기술이 도입되고 있으며, 일부 제도적 개선이 동시에 이루어지고 있다. 본 연구는 이러한 개선기관의 효과를 파악하고, 스마트 안전기술의 현장적용 확산을 위한 개선의견을 추가로 도출하기 위해 수행되었다. 건설산업 참여자를 대상으로 설문조사를 실시하였으며, 건설현장에서 스마트 안전기술 확산을 위한 제도개선 인식 및 추가요건을 조사하였다. 조사결과 스마트건설 안전기술의 현장 적용에 대한 높은 관심이 확인되었으며, 안전관리비, 현장 안전서류 중복 등 일부 문제가 제기되었다. 본 연구를 통해 도출된 의견은 건설현장에 스마트건설 안전기술 도입 및 확산을 위한 향후 제도개선 기준자료로 활용될 예정이다.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2022.10a
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• pp.225-226
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• 2022

다른 업종보다 2배 이상 많은 건설업 사망률이 높아지면서 만성적인 안전 문제 해결의 필요성이 커지고 있다. 그동안 유지해 온 안전관리대책으로는 건설사고를 줄일 수 없는 상황에서 근로자의 안전관리를 위해 4차 산업기술을 반영한 스마트건설안전기술(SCST) 도입이 요구된다. 본 연구에서는 아직 정립되지 않은 SCST의 개념을 정의하고 설문조사를 통해 SCST의 실태를 분석하였다. 적용 전후 SCST 도입의 필요성, 편의성, 효과성 분석을 통해 현장 관점에서 문제점과 기타 기술 도입에 걸림돌이 되는 요인 등의 문제점을 구체적으로 도출한다. 또한 현재 수준의 안전관리를 위한 효과적인 기술 조합을 결정하고 활성화 계획을 제시한다.

• Electronics and Telecommunications Trends
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• v.35 no.1
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• pp.80-88
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• 2020

This paper describes the development trends and service provision examples of disaster occurrence and spread prediction technology for various disasters such as tsunamis, floods, and fires. In terms of fires, we introduce the WIFIRE system, which predicts the spread of large forest fires in the United States, and the Metro21: Smart Cities Institute project, which predicts the risk of building fires. This paper describes the development trends in tsunami prediction technology in the United States and Japan using artificial intelligence (AI) to predict the occurrence and size of tsunamis that cause great damage to coastal cities in Japan, Indonesia, and the United States. In addition, it introduces the NOAA big data platform built for natural disaster prediction, considering that the use of big data is very important for AI-based disaster prediction. In addition, Google's flood forecasting system, domestic and overseas earthquake early warning system development, and service delivery cases will be introduced.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.28-30
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• 2012

2010년 이후 국내 스마트폰 보급은 급속히 증가하여 2011년에 이미 스마트폰 가입자수가 2천만명을 넘어서면서 계속하여 증가하고 있으며, '12년 하반기에는 휴대폰 가입자중 79%가 스마트폰을 차지할 것으로 예측하고 있다(마케팅인사이트, '12.02). 이러한 스마트폰의 증가와 함께 스마트폰을 이용한 각종 서비스 및 업무의 비중도 증가하고 있으며, 이에 대한 정보보안의 문제도 이슈화 되고 있다. 특히 스마트폰의 경우 일반 PC와 비교하여 보안에 취약하며, 특히 분실/도난 등으로 인한 개인정보의 유출위험성 또한 높다. 본 연구에서는 국립방재연구원에서 추진중인 스마트 재난피해조사를 바탕으로 정보보안의 현안을 분석하였으며, 스마트폰 내 정보저장에 대한 보안취약을 해결하기 위해서는 MDM(Mobile Device Management)를 이용한 단말의 통제 뿐만 아니라 1차적으로 단말의 접근을 통제할 수 있는 얼굴인식, 지문인식 등의 인체인식기술과 저장된 정보의 해킹으로 인한 유출을 방지하기 위한 복호화 및 자동삭제 기능 등을 도입하여야 할 것으로 판단된다.

• Journal of Korea Multimedia Society
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• v.23 no.2
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• pp.293-300
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• 2020

Since the communication networks like the Internet collapses at disaster and calamity sites, a maintenance system that can be operated offline is required for the maintenance of various facilities. In this paper, we propose a system that memory tags attached on the facilities may transmit the emergency manual to a smart-phone, and the smart phone displays it off-line. The main issue is to design low energy mode memory tags. This study presents two kinds of methods and analyzes each's energy consumption mode. The first one is to develop memory tags by using one chip, and the next one is to design memory tags by forming multi-modules. Both ways show proper application fields under the low energy mode. This research selects the off-line maintenance system by using one chip design, and proposes the direction of contents for enhancing the effectiveness of the system. And we expect that this memory tags will be valuable for disaster scenes as well as battle fields.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.79-80
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• 2023

본 논문에서는 화재 시뮬레이션을 이용하여 풍량, 풍향, 보관물질, 시설물의 위치 등 여러 요소를 고려한 플랜트 시설물의 상황별 화재 성상을 분석하여 화재진압 시나리오를 구축하고 이를 스마트 화재 모니터링 구현을 위한 아키텍처 시스템을 설계하여 화재 초기상황에 스마트 화재 모니터링을 통해 방수총을 빠르게 동작시킬 수 있다. 플랜트 시설 화재 시 스마트 화재 모니터링과 연동된 방수총의 동작 시간을 효과적으로 단축시키며 화재 취약지점에 거점타격방식으로 방수하고자 한다

• Journal of Korean Society of Disaster and Security
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• v.9 no.1
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• pp.19-24
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• 2016

In this study, we conducted a study on the development of Internet of Things-based disaster response system. We researched the method of building the network-based disaster prevention system using a client machine that the sensor network and the keeper. Also, we developed the algorithm for optimal evacuation shelter based on spanning tree algorithm. The system is tested actually in Seoul Gaepo station, and we verified the usability of the system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.929-932
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• 2007

The integrated prevention of disaster management system is collected prevention of disaster data from prevention of disaster relation other systems and smart sensor in USN. This system manages fire fighting facility effectively. The relation equipment which is used in existing and network using "Open Protocols" about under using the support system which is integrated effectively as the destroyer. It connects CCTV, the sensitivity environmental sensor, automatic fire detection equipment and security equipment and air flow equipment system using Internet. The System Server was collected monitoring data at the each equipment and processing by operational scenario. It will verified the effectiveness of operational scenario and integrated prevention of disaster management system

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.245-256
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• 2021

This study is significant in determining the reduction of safety accidents by applying PDCA's theory by subdividing it into a case analysis technique for construction sites by PDCA's theory. For this study, accidents accounted for the largest proportion of each type of disaster in the construction site were considered, and safety accidents were reduced through the PDCA theory through prior research. The analysis method of this study derived improvement plans by applying PDCA techniques to plan, implement, confirm, review, and improve disaster accidents at construction sites. The conclusions of this study are as follows. In the plan, first of all, measures shall be taken to prepare a safety management plan, to verify the implementation of the plan, and to verify the degree of implementation by the field manager. In the implementation, first of all, it is necessary to introduce a safety education history system to strengthen the safety education curriculum to suit the site, as long-term work is impossible for field workers depending on field conditions. First of all, it is necessary to strengthen the installation of safety facilities, including "work scaffolding" and "conducting prevention facilities" at construction sites. In management review and improvement, the risk assessment system for construction sites needs to be expanded first°.

• Journal of Korea Water Resources Association
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• v.52 no.12
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• pp.1087-1098
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• 2019

In this study, we developed an integrated urban river data platform that collects, cleans, and provides data for urban river management. The urban river integrated data platform has the function of collecting data provided by various institutions using the Open API service. The collected data is purified through pre-processing and loaded into a database. The collected data can be reviewed and analyzed using a visualization system and provided through the Open API, so that it can be used as individual input data by combining them in the urban river model. In addition, the development system for real-time data was developed to apply real-time data to urban river models. Through this, users will be able to reduce the time and effort required for data collection, pre-processing and input data construction, thereby increasing efficiency and scalability in the development of urban river models and systems.