• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.55-63
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• 2023

In this paper, we propose a function and service of the Disaster Crisis Alert Management System that automatically analyzes the situation judgment criteria to issue a disaster crisis alert and a plan to operate in the National Disaster Management System(NDMS). In the event of a disaster, a crisis alert(interest-caution-alert-serious) is issued according to the crisis alert level. In order to automatically analyze and determine the crisis alert level, first, data collection, crisis alert level analysis, crisis alert level judgment, and disaster crisis alert management system that expresses the crisis alert level by spatial scale(province, city, district) were implemented. The crisis alert level was analyzed and expressed in two ways by applying the intelligent crisis alert level(determination of regional sensitivity, risk level, and crisis alert level) and the crisis alert standard of the crisis management manual(province-level standard setting). Second, standard metadata, linkage of situation information of target) and API standards for data provision are presented to jointly utilize data linkage and crisis alert data of the disaster and safety data sharing platform so that it can be operated within the NDMS.

• Fire Science and Engineering
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• v.32 no.6
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• pp.126-133
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• 2018

Korea has been preparing and operating crisis management standardized manuals so that over 30 disaster types that need to be managed at the national level can be selected and systematically managed. This study analyzed the crisis alert levels of two standard manuals related to the case with reference to the contents of the Framework Act on the Management of Disaster and Safety and National Crisis Management Basic Guidelines. According to the Act and Guidelines, crisis alerts are issued before a crisis or disaster, but the criteria of crisis alerts of the two manuals showed that the national crisis had already occurred and the disaster occurred due to a marine vessel accident at the serious level. In addition, the results of timing of issuance of crisis alert were reviewed. If the signs can be identified, a crisis alert may be issued prior to the occurrence of the incident, but a crisis alert cannot be issued when an incident occurs without a sign. In the case of an incident where there are no signs, but there is a possibility of spreading to a national level disaster, the disaster management supervision agency could issue a crisis alert.

• Fire Science and Engineering
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• v.34 no.4
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• pp.29-35
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• 2020

This study was conducted to examine the performance in the space for a single alarm type detector installed in a single house. Three types of houses were used, including two types of one-story and two-story houses. A computer simulation program was used to predict the sound pressure level in response to the occurrence of an alarm sound in a residential space. The characteristics of the sound source applied to the simulation were directly measured and used as input data. As a result of simulation, it was found that the sound pressure level in the kitchen and living room generally met the standard when the alarm sound of the detector occurred. However, the sound pressure level in the bedroom was predicted to be at least 20 dB (A) lower than the American Fire Protection Association standard of 75 dB (A). Therefore, a plan should be prepared to maintain a sufficient sound level in the bedroom space inside the house, and efforts will be needed to ensure safe evacuation in case of fire by establishing relevant standards.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.5-6
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• 2021

재난문자는 국가가 재난 상황에 대해 국민에게 경보를 전달하여 알림으로써 피해를 예방하거나 경감시키는 대표적인 수단이다. 하지만 재난문자의 기술 규격을 민간 표준으로 제정하여 준수 여부가 휴대전화 제조사나 통신사에 달려있어 서비스에 차이가 발생하는 문제가 있다. 이 연구는 이러한 문제를 해결하기 위해 국내 재난문자의 기술기준 제정 필요성을 제시한다.

• Journal of Korea Water Resources Association
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• v.52 no.12
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• pp.963-973
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• 2019

This study reviews a urban flooding risk criteria estimation model to predict risk criteria in areas where flood risk criteria are not precalculated by using watershed characteristic data and limit rainfall based on damage history. The risk criteria estimation model was designed using Support Vector Machine, one of the machine learning algorithms. The learning data consisted of regional limit rainfall and watershed characteristic. The learning data were applied to the SVM algorithm after normalization. We calculated the mean absolute error and standard deviation using Leave-One-Out and K-fold cross-validation algorithms and evaluated the performance of the model. In Leave-One-Out, models with small standard deviation were selected as the optimal model, and models with less folds were selected in the K-fold. The average accuracy of the selected models by rainfall duration is over 80%, suggesting that SVM can be used to estimate flooding risk criteria.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.3-4
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• 2021

재난문자는 국가가 재난 상황에 대해 국민에게 경보를 전달하여 알림으로써 피해를 예방하거나 경감시키는 대표적인 수단이다. 하지만 재난문자의 기술 규격을 민간 표준으로 제정하여 준수 여부가 휴대전화 제조사나 통신사에 달려있어 서비스에 차이가 발생하는 문제가 있다. 이 연구는 이러한 문제를 해결하기 위해 국내 재난문자의 기술기준 제정 필요성을 제시한다.

• Journal of Korea Water Resources Association
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• v.56 no.10
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• pp.619-629
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• 2023

Recent intensification of climate change has led to an increase in damages caused by droughts. Currently, in Korea, the Standardized Precipitation Index (SPI) is used as a criterion to classify the intensity of droughts. Based on the accumulated precipitation over the past six months (SPI-6), meteorological drought intensities are classified into four categories: concern, caution, alert, and severe. However, there is a limitation in classifying drought intensity solely based on precipitation. To overcome the limitations of the meteorological drought warning criteria based on SPI, this study collected emergency water supply damage data from the National Drought Information Portal (NDIP) to classify drought intensity. Factors of SPI, such as precipitation, and factors used to calculate evapotranspiration, such as temperature and humidity, were indexed using min-max normalization. Coefficients for each factor were determined based on the Genetic Algorithm (GA). The drought intensity based on emergency water supply was used as the dependent variable, and the coefficients of each meteorological factor determined by GA were used as coefficients to derive a new Drought Severity Classification Index (DSCI). After deriving the DSCI, cumulative distribution functions were used to present intensity stage classification boundaries. It is anticipated that using the proposed DSCI in this study will allow for more accurate drought intensity classification than the traditional SPI, supporting decision-making for disaster management personnel.

• Journal of Korea Water Resources Association
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• v.56 no.4
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• pp.261-272
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• 2023

In recent years, natural disasters such as heavy rainfall and typhoons have occurred more frequently, and their severity has increased due to climate change. The Korea Meteorological Administration (KMA) currently uses the same criteria for all regions in Korea for watch and warning based on the maximum cumulative rainfall with durations of 3-hour and 12-hour to reduce damage. However, KMA's criteria do not consider the regional characteristics of damages caused by heavy rainfall and typhoon events. In this regard, it is necessary to develop new criteria considering regional characteristics of damage and cumulative rainfalls in durations, establishing four stages: blue, yellow, orange, and red. A classification model, called DSCM (Disaster Severity Classification Model), for the four-stage disaster severity was developed using four machine learning models (Decision Tree, Support Vector Machine, Random Forest, and XGBoost). This study applied DSCM to local governments of Seoul, Incheon, and Gyeonggi Province province. To develop DSCM, we used data on rainfall, cumulative rainfall, maximum rainfalls for durations of 3-hour and 12-hour, and antecedent rainfall as independent variables, and a 4-class damage scale for heavy rain damage and typhoon damage for each local government as dependent variables. As a result, the Decision Tree model had the highest accuracy with an F1-Score of 0.56. We believe that this developed DSCM can help identify disaster risk at each stage and contribute to reducing damage through efficient disaster management for local governments based on specific events.

• Convergence Security Journal
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• v.6 no.4
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• pp.67-73
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• 2006

The method which research a standardization from real time cyber threat is finding the suspicious indication above the attack against cyber space include internet worm, virus and hacking using analysis the event of each security system through correlation with the critical point, and draft a general standardization plan through statistical analysis of this evaluation result. It means that becomes the basis which constructs the effective cyber attack response system. Especially at the time of security accident occurrence, It overcomes the problem of existing security system through a definition of the event of security system and traffic volume and a concretize of database input method, and propose the standardization plan which is the cornerstone real time response and early warning system. a general standardization plan of this paper summarizes that put out of threat index, threat rating through adding this index and the package of early warning process, output a basis of cyber threat index calculation.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.11a
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• pp.210-211
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• 2020

COVID-19으로 인해 국민들에게 전달되는 재난정보의 양상이 서서히 변화하고 있다. 이는 정보통신의 발전 양상과도 매우 깊은 관계를 가지고 있다고 볼 수 있다. 이전까지의 정부 및 지자체에서 제공되는 재난정보에 대한 형태는 문자와 음성으로만 제공하므로써 고령자와 외국인과 같은 재난 약자에게 명확한 상황인지를 하기에 어려움이 있었다. 이를 해결하기 위한 전방위적인 노력을 하고 있으며, 보다 정확하고 보다 다양한 정보를 제공하고자 관련 연구를 수행하고 있다. 이는 급속도로 발전하는 정보통신 매체(UHD 및 5G, 오픈스크린 등)를 기반으로 국민들로 하여금 신속.정확한 재난상황인지를 가능케 할 수 있다. 이로 인한 재난경보 관련 최근 이슈는 '내 위치 맞춤형 정보'와 '다매체 정보'가 아닐까 싶다. 정보통신 매체가 발달함에 따라 제공되는 재난경보의 범위가 내 위치를 기준으로 좁아지며, 시각적으로 직관적인 콘텐츠를 제공할 수 있다. 이는 각 매체의 고유 정보를 통해 위치가 확인 가능하면서 해당 지역에 맞는 정보만 선택적으로 취함으로써 불필요한 정보를 제공하지 않게 된다. 본 연구를 통해 이러한 부분을 해결하기 위해 TTA에서 표준으로 제정된 CAP (Common Alerting Protocol)을 활용하였으며, 'Area' 항목에 지역코드(전국~읍면동)를 함께 포함함으로써 가능해졌다. 또한 CAP을 활용함에 따라 텍스트부터 음성, 이미지, 웹 콘텐츠까지 최신의 영상 매체에 적용 가능한 재난정보 콘텐츠를 제공 가능해졌으며, 특히 UHD 및 5G, 오픈스크린과 같은 통신 네트워크 기반 영상 매체에 적합한 멀티미디어 재난정보 콘텐츠를 제공할 수 있다. 제공된 콘텐츠에는 각종 관련 정보를 확인 가능하도록 링크를 제공하여 필요에 따라 보다 자세한 재난정보를 확인할 수 있다. 이를 기반으로 재난경보에 대한 다변화를 통해 나에게 꼭 필요한 정보가 제공될 수 있도록 발령 체계 개편이 필요하다.