• 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.

• Journal of Korean Society of Disaster and Security
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• v.9 no.2
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• pp.1-7
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• 2016

The 'alert' is to provide a signal or information beforehand, in order to prepare against situations in which abrupt incidents or disasters are expected. In other words, the purpose of alert is to help people or respondents to take precautions against and quickly cope with disasters or incidents, before those actually occur. This paper draws requirements of alert system from definitions of the alert and cases of it home and abroad. Following requirements of alert system are derived to allow subjects responsible for alert issue to quickly handle changes of situations; 1) identification of subjects responsible for alert issue, 2) use of definite terms regarding alert levels, for prompt actions, and 3) distinct separations among alert levels. This paper suggests improvement directions by extracting several problems of National Crisis Alert System according to such requirements.

• Fire Science and Engineering
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• v.34 no.3
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• pp.91-99
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• 2020

Recently, a new infectious disease, COVID-19, has been spreading not only in Korea but around the world. As a result, the Korean government raised the level of infectious disease crisis alerts to a serious level on February 23, 2020. The purpose of this study is to apply the situational theory of publics to publics segmentation according to the issuance of a crisis alert and to suggest ways to improve the crisis alert system. To this end, the level of public perception on crisis alerts was checked. The verification confirmed that the situational theory of publics is a suitable theoretical framework for analyzing the communication behaviors of the public toward crisis alerts. As a result of the public segmentation, 42.7% were classified as active publics. Based on this, it was suggested to reorganize the crisis alert system as a system for communicating with the public.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.303-304
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• 2022

본 논문에서는 재난위기경보관리시스템 구축을 위해 행정안전부가 구축중인 재난안전데이터 공유 플랫폼의 데이터를 연동하기 위한 기반 및 기술을 제안한다. 국가 R&D로 수행중인 재난위기경보관리시스템은 위기경보 수준을 판단하기 위해 필요한 데이터를 수집, 위기경보 수준 자동분석, 위기경보 수준 판단 및 표출하는 기능을 구현하였다. 그러나 실제 운영하기 위해서는 국가재난정보관리시스템(NDMS)내에서 운영할 수 있도록 재난안전데이터 공유 플랫폼의 데이터 연동을 위한 방안에 대해 연구하였다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.5
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• pp.805-821
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• 2020

Cyber defense exercise should require training on the latest cyber attacks and have a similar process to defense cyber attacks. In addition, it is also important to train on cyber resilience that can perform normal tasks or support equivalent tasks regardless of cyber attacks. In this paper, we proposed and developed a cyber range that can strengthen the elements of cyber resilience by performing cyber defense exercise in real time based on the cyber crisis alert issued when a cyber attack occurs in Korea. When BLUE, YELLOW, ORANGE, and RED warnings are issued according to the cyber crisis, our system performs proactive response, real time response, and post response according to the alarm. It can improve trainee's capability to respond to cyber threats by performing cyber defense exercise in a cyber crisis environment similar to the actual situation of Korea.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.453-458
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• 2024

Due to global issues such as climate crisis and rising energy costs, there is an increasing focus on energy conservation and management. In the case of South Korea, approximately 53.5% of the total energy consumption comes from industrial complexes. In order to address this, we aimed to improve issues through the 'Shared Network Utility Plant' among companies using similar energy utilities to find energy-saving points. For effective energy conservation, various techniques are utilized, and stable data supply is crucial for the reliable operation of factories. Many anomaly detection and alert systems for checking the stability of data supply were dependent on Energy Management Systems (EMS), which had limitations. The construction of an EMS involves large-scale systems, making it difficult to implement in small factories with spatial and energy constraints. In this paper, we aim to overcome these challenges by constructing a data collection system and anomaly detection alert system on embedded devices that consume minimal space and power. We explore the possibilities of utilizing anomaly detection alert systems in typical institutions for data collection and study the construction process.

• Journal of the Korea Convergence Society
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• v.8 no.3
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• pp.15-22
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• 2017

People generally believe that disaster forecast and warning systems and response systems are well established in the age of cutting edge technology. As a matter of fact, reliable systems to respond to disasters are not properly equipped, as we witnessed the Sewol ferry disaster in 2014. The existing forecast and warning systems are based on sensor information with low efficiency, and image information is only operated by monitoring staff manually. In addition, the interconnection between a warning system and a response system in order to decide how to cope with the recognized disaster is very insufficient. This paper introduces the CCTV based disaster recognition and real time crisis response system composed of the CCTV image recognition engine and the crisis response technique. This system has brought the possibility to overcome the limitations of existing sensor based forecast and warning systems, and to resolve the problems in the absence of monitoring staff when responding to crisis.

• The Journal of Bigdata
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• v.8 no.1
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• pp.99-109
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• 2023

Recently, not only in Korea but also around the world, we have been experiencing constant disasters such as typhoons, wildfires, and heavy rains. The property damage caused by typhoons and heavy rain in South Korea alone has exceeded 1 trillion won. These disasters have resulted in significant loss of life and property damage, and the recovery process will also take a considerable amount of time. In addition, the government's contingency funds are insufficient for the current situation. To prevent and effectively respond to these issues, it is necessary to collect and analyze accurate data in real-time. However, delays and data loss can occur depending on the environment where the sensors are located, the status of the communication network, and the receiving servers. In this paper, we propose a two-stage hybrid situation analysis and prediction algorithm that can accurately analyze even in such communication network conditions. In the first step, data on river and stream levels are collected, filtered, and refined from diverse sensors of different types and stored in a bigdata. An AI rule-based inference algorithm is applied to analyze the crisis alert levels. If the rainfall exceeds a certain threshold, but it remains below the desired level of interest, the second step of deep learning image analysis is performed to determine the final crisis alert level.

• Korean Journal of Agricultural and Forest Meteorology
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• v.17 no.4
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• pp.290-305
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• 2015

To improve the practicality of 'Early warning service about agrometeorological weather hazards' and operation efficiency to deliver site-specific about a lot of land unit possibility of weather hazard occurrence with the suitable counterplan to farmer, site-specific early warning service system that was built at the National Academy of Agricultural Science in Korea passed some of the error supplementation and service's stabilization stage during operation period for trial services from October 2014 to March 2015. Field service system covered about 470 volunteered farmer and 950 lots in Seomjin river downstream areas (part of Gwangyang-si, Hadong-gun, Gurye-gun). This system (Two track system) consists of early warning system (a lot of land unit) to inform farmer by individual text message and dispersal prior alert system that can see the jurisdiction's situation of local government. Individual text message about Seomjin river downstream that is our first study area was launched since $2^{nd}$ March 2015, and online site (http://www.agmet.kr) started business since April 2015. Service offers currently information of farm weather, farm weather hazard, nationwide weather risk and special weather alert, also our system will consistently expand the service target area and contents and improve the service quality until 2017 when our study finished. To prevent crops damage that was caused by crisis situation like farm weather and weather damage offer prior alert about agrometeorological weather harzard to volunteered farmer, thereby our study expects to help the reduction of farm's damage caused by weather derivatives.