• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.167-175
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• 2018

To cope with the increasing number of natural disasters in recent years, managers in the National Disaster and Safety Status Control Center, who have considerable experience and skills, are regarded highly important. Although the National Disaster and Safety Status Control Center oversees the disaster-status control tasks in preparation for various natural and social disasters, there is little data due to the frequent replacement of managers. Therefore, this study developed a disaster-safety code system that tracks and manages disaster information, because the current record management and amount of information sharing remains very low. Among 22 natural and social disaster types, this study targeted four types of disasters: heavy snow, strong winds, high seas, and heavy rain. The final disaster-safety data code system was proposed through the following processes: analysis of the code systems of disaster areas in Korea and overseas, setup of the implementation of directions, development of the classification system, and categorization. For the systematic accumulation of data, the four code systems were integrated into one. A prototype system was developed and operated to verify the validity of the proposed code system. The results showed that data were accumulated and services were provided accordingly with respect to the proposed code system. If past data are accumulated and utilized according to the proposed code system in this study, it will be helpful in the decision making process to respond to new types of disasters, based on past experiences.

• Ecology and Resilient Infrastructure
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• v.6 no.4
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• pp.236-242
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• 2019

In this study, we developed the system that can collect and store environmental disaster data into the database and use it for environmental disaster management by converting structured and unstructured documents such as images into electronic documents. In the 4th Industrial Revolution, various intelligent technologies have been developed in many fields. Environmental disaster information is one of important elements of disaster cycle. Environment disaster information management refers to the act of managing and processing electronic data about disaster cycle. However, these information are mainly managed in the structured and unstructured form of reports. It is necessary to manage unstructured data for disaster information. In this paper, the intelligent generation approach is used to convert handout into electronic documents. Following that, the converted disaster data is organized into the disaster code system as disaster information. Those data are stored into the disaster database system. These converted structured data is managed in a standardized disaster information form connected with the disaster code system. The disaster code system is covered that the structured information is stored and retrieve on entire disaster cycle. The expected effect of this research will be able to apply it to smart environmental disaster management and decision making by combining artificial intelligence technologies and historical big data.

• Journal of the Korean GEO-environmental Society
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• v.20 no.12
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• pp.27-32
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• 2019

Disaster Safety Management Information standardization and harmonization simplifies the process of disaster management (prevention, preparedness, response and recovery) to increase the efficiency of disaster management, it is necessary to minimize the people's life and property damage. Disaster safety standardization is to standardize disaster safety information in the past to respond to an uncertain future and systematically manage disaster safety accordingly. This study developed a standard code system to utilize disaster safety information such as earthquake, fire, and fine dust, which are of social interest among various and complex environmental disasters. It aims to support practitioners to conduct efficient disaster tasks in the event of a disaster.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.655-656
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• 2021

April 2021, Disaster Safety Communication Network services have been launched, but security functions are weak at the beginning of the service. The current security method for Android-based APP is using Google Protect's technology to detect malware. Malware is difficult to detect directly because there are various types, so by applying malware detection technology that combines AI and Google Protect technology to Disaster Safety Communication Networks, research on how to implement 'AI-based Disaster Satety Communication Network Protect'.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2017.11a
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• pp.213-214
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• 2017

지방자치단체는 국가에서 지정한 재난 유형에 대하여 해당 지자체에 위험성이 높은 재난 유형을 선정하여 현장조치 행동 매뉴얼을 작성하고 운영하고 있다. 2016년 행정안전부는 이러한 매뉴얼 작성 표준안을 제시하였으며, 지자체에서 작성된 매뉴얼은 이 표준안을 준수하고 있다. 본 표준안은 기존에 정의된 13개 협업기능에 재난 대응 프로세스에 대한 세부 조치 사항(SOP)을 코드화하여 매뉴얼의 규격화를 제공하는 구조적 체계를 제공하고 있다. 그러나 내용적 관점에서 재난 유형에 따른 단계 체계의 명확성, 조치사항 추가에 대한 방향성, 그리고 동일 조치 사항에 대하여 재난 유형에 따른 내용적 차이 등에 대한 기술이 부족하여 이에 대한 개선이 필요하다.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2012.04a
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• pp.270-273
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• 2012

오픈 소스인 FDS(fire dynamic simulator)는 건물, 터널내의 화재나 연기, 열기류의 거동을 연구하기 위하여 국내외적으로 광범위하게 이용되고 있다. 체계적인 연구와 확장이 가능하도록 소스코드와 프로그램구조, 각종 메뉴얼을 갖추고 있으며 향후 개발 방향을 온라인을 통해서 소스코드와 함께 공개하고 있다. 비압축성 비정상해석을 근간으로 하고 있으며 난류유동을 해석할 수 있도록 DNS와 LES모델을 가지고 있다. 화재, 연소, 스프링클러, 화재 확산 등의 모델링을 제공하고 있다. 이러한 모델을 바탕으로 다양한 시나리오의 재난, 피난에 적용할 수 있다. 향후 이러한 기본 모델을 바탕으로 새로운 재난 시나리오에 따라 새로운 알고리즘의 적용하기 위해서는 FDS 기본적인 구조와 모델, 그리고 한계점을 이해할 필요가 있다. 본 연구에서는 이러한 FDS모델을 더욱 확장하기 위한 일환으로 FDS(V5.5.3)의 기본적인 구조을 파악하고 몇 가지 검증모델(verification)에 적용하였다. 또한 이를 향후 FDS의 소스코드를 확장할 수 있는 근간으로 삼고자 한다.

• Journal of Satellite, Information and Communications
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• v.6 no.2
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• pp.125-130
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• 2011

In this paper, there was compared to the performance of the Auto Correlation Feature of each code using Spreading code for improving the data transmission technology in T-DMB disaster broadcasting. Generally, wireless mobile communication environment such as DMB occur the Inter Code Interference and the Multi-Path Interference in the process of the identification of the transmitter from the receiver. To solve this problem, spreading code technology was able to improve the security property. Also, it will be able to use in many fields of signal processing, because to control a period of the code can be variable. Therefore, in this paper, we studied to compare the performance of excellent orthogonal Golay code, Kasami code and ZCD(Zero Correlation Duration) code.

• Disaster Prevention Review
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• v.19 no.5
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• pp.44-50
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• 2017

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.12A
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• pp.1207-1213
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• 2010

In this paper, we proposed analysis additional data transmission scheme based on T-DMB system with watermarking technique for emergency broadcasting service. By applying the proposed scheme to T-DMB system, it allows additional data transmission and improves spectral efficiency of data transmission through watermarking spreading code. In the emergency situation, we can react the emergency situation using the emergency information that generated by proposed scheme. We are certified availability of our proposed technology by using various simulation. The performance is evaluated in terms of bit error rate (BER). From the simulation result, we confirmed the performance of T-DMB system embedded watermarking scheme and it is shown that system performance is affected the watermarking level. The results of the paper can be applied to wireless multimedia digital broadcasting system.

• Review of KIISC
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• v.33 no.1
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• pp.77-88
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• 2023

인터넷 사용매체 및 네트워크 접속방법이 다양해지면서 인터넷 사용량은 매우 빠르게 증가하고 있다. 이러한 인터넷은 현대사회에서 꼭 필요한 자원이지만 악성코드, 스팸, 개인정보 유출 등 이를 악용한 범죄도 증가하고 있다. 또한 전 세계적으로 유행중인 코로나로 인해 관련된 접종정보, 동선, 재난문자 등으로 위장한 피싱 공격도 증가하고 있다. 대다수의 공격자들은 사이버 범죄를 저지르기 위해 악성코드 유포사이트를 통해 악성코드를 유포한다. 이러한 범죄를 예방하기 위해선 악성코드 유포사이트에 대한 초기 대응이 필수이며, 사용자가 악성코드 유포사이트에 접근하기 전에 차단할 수 있는 실시간 탐지 기술이 필요하다. 본 논문에서는 이러한 탐지 기술 중 URLDeep, POSTER, Random-Forest, XGBoost와 같은 기계학습을 이용한 탐지 기술의 연구동향을 조사하였다.