• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.32 no.2
• /
• pp.5-24
• /
• 2021

This study intended to look at the Library Living Lab to solve community problems. To this end, this study investigated cases outside of the country and investigated various aspects of Living Lab's application to solving community problems. In addition, a survey was conducted on residents of Chungju to find areas where libraries can contribute to solving problems in the community and investigate the need. As a result, residents generally responded that "Library Living Lab," in which libraries participate in living lab activities in various fields, is needed to solve problems in the community. It shows that the range of services and activities that the library can provide can be expanded to the community and can be an innovative measure for library services that can solve almost all problems in the community through the Library Living Lab.

• Korean Journal of Remote Sensing
• /
• v.38 no.5_3
• /
• pp.819-834
• /
• 2022

Artificial Intelligence (AI) techniques have been effectively used for image classification, object detection, and image segmentation. Along with the recent advancement of computing power, deep learning models can build deeper and thicker networks and achieve better performance by creating more appropriate feature maps based on effective activation functions and optimizer algorithms. This review paper examined technical and academic trends of Convolutional Neural Network (CNN) and Transformer models that are emerging techniques in remote sensing and suggested their utilization strategies and development directions. A timely supply of satellite images and real-time processing for deep learning to cope with disaster monitoring will be required for future work. In addition, a big data platform dedicated to satellite images should be developed and integrated with drone and Closed-circuit Television (CCTV) images.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.8 no.10
• /
• pp.25-32
• /
• 2018

Recently, the complexity of underground utilities has increased and it has became more difficult to identify and manage information about all underground utilities due to changes such as road extension or building relocation. As a result, number of accidents related to underground utilities caused by excavation works or disasters are in rise, and naturally damages as well are increasing due to the accidents. Therefore, there is a need for a management system capable of easily registering or retrieving information of underground utilities from a remote place. In our previous work, we have developed a utility labelling system based on NFC (Near Field Communication) tag and a utility management system based on IoT (Internet of Things). However, in general, there are diverse communication devices and protocols in IoT environment. Therefore, in this paper, we propose management system and IoT gateway that enables smooth communication even in different types of devices based on the previous our work.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.28 no.1D
• /
• pp.73-81
• /
• 2008

Hereafter, the domestic housing industry has to give consequence to the redevelopment and rebuilding of existing housings rather than the supply by developing a new building site, and now those tendencies are rapidly spreading out. Also, because apartment buildings occupies 50% over of the existing housing, its maintenance, repair, remodeling and reconstruction got to be necessary area for the slumming prevention of a residential area and the disaster prevention occurred by durability lowering of the building. Accordingly, C&D waste is rising largely by reason of demolition works in city is increasing. The right management of C&D waste is being one of very important things, but little research has been conducted to estimate correctly C&D waste. In this study is to suggest standard units of C&D waste which can estimate demolition quantity of apartment. This units can estimate easily and correctly C&D waste in demolition works, also can possible use very important material to carry out policy of national waste management.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.59-59
• /
• 2022

세계적으로 지구온난화를 동반한 기후변화로 인해 자연재난이 빈번하게 발생하고 있다. 재해의 발생 유형 중 집중호우와 태풍으로 인한 수문학적 재해가 대부분을 차지하고 있다. 이와 같이 홍수로 인해 발생하는 피해는 강우의 특성과 지역적 특성에 따라 피해의 규모와 범위가 달라진다. 따라서 이러한 이질적인 홍수피해로부터 재산과 인명을 보호하기 위해서는 위해성(Hazard), 노출성(Exposure), 취약성(Vulnerability)을 고려하여 지역 특성에 맞는 홍수방어계획을 수립해야한다. 본 연구에서는 전국 228개 행정구역을 대상으로 과거에 실제로 발생하였던 홍수피해 사례 조사를 통해 지역별 홍수피해 특성을 파악하여 지역 특성을 고려한 홍수피해 강우기준을 제시하고자 하였다. 이를 위해서 재해연보 보고서에 기재되어 있는 과거 홍수피해 기간과 홍수피해액을 수집하였고, 홍수피해 기간동안의 강우량과 뉴스 기사를 수집하여 뉴스 기사에서 언급되었던 홍수피해 현상 정보를 수집하였다. 수집된 홍수피해 정보를 통해 지역별 노출성과 취약성이 반영된 현상기반 강우등급을 제시하였으며, 이와 함께 지역별 강우특성을 나타내며 위해성을 내포하고 있는 확률강우량과의 합성을 통해 위해성, 노출성, 취약성을 고려한 지역별 홍수피해 강우기준을 제시하였다. 대부분 홍수피해에 관한 정보를 재해연보 보고서를 활용하여 수집하지만 홍수피해 현상에 대한 정보를 포함하고 있지 않기 때문에 지역별로 홍수피해로부터 발생하는 홍수피해 유형에 대해 파악하기에는 한계가 있다. 따라서 본 연구에서는 과거 홍수피해가 발생했던 기간에 대해 뉴스 기사를 수집하여 홍수피해 현상 정보를 수집하였고, 수집된 홍수피해 현상 정보를 텍스트 마이닝(Text Mining) 기법을 적용하여 홍수피해 현상 키워드 빈도분석을 통해 어떠한 홍수피해 유형에 취약한지 파악하였다.

• Journal of Korea Water Resources Association
• /
• v.56 no.12
• /
• pp.929-937
• /
• 2023

This study aims to develop rules for the Determination of Drought Stages at the Local Level based on the drought cases in Gwangju and Jeollanam-do in 2022-2023. Among the eight drought indicators provided, six indicators (Agricultural drought stage (for paddy), Residential & industrial drought stage, SPI-12, Relative agricultural water storage, Residential water consumption change (for domestic use), Residential water consumption change (for non-domestic use) were confirmed to have statistical correlations with the perceptions of local government officials and experts. Additionally, this drought indicator was applied to a decision tree algorithm to develop rules for determining the severity of drought. Although it presented results similar to those of the existing method presented in previous studies, it showed a significant comparative advantage in explaining the temporal and spatial patterns of drought in the Gwangju and Jeollanam-do.

• Journal of the Society of Disaster Information
• /
• v.11 no.1
• /
• pp.135-147
• /
• 2015

Recent underground common utility tunnels are underground facilities for jointly accommodating more than 2 kinds of air-conditioning and heating facilities, vacuum dust collector, information processing cables as well as electricity, telecommunications, waterworks, city gas, sewerage system required when citizens live their daily lives and facilities responsible for the central function of the country but it is difficult to cope with fire accidents quickly and hard to enter into common utility tunnels to extinguish a fire due to toxic gases and smoke generated when various cables are burnt. Thus, in the event of a fire, not only the nerve center of the country is paralyzed such as significant property damage and loss of communication etc. but citizen inconveniences are caused. Therefore, noticing that most fires break out by a short circuit due to electrical works and degradation contact due to combustible cables as the main causes of fires in domestic and foreign common utility tunnels fire cases that have occurred so far, the purpose of this paper is to scientifically analyze the behavior of a fire by producing the model of actual common utility tunnels and reproducing the fire. A fire experiment was conducted in a state that line type fixed temperature detector, fire door, connection deluge set and ventilation equipment are installed in underground common utility tunnels and transmission power distribution cables are coated with fire proof paints in a certain section and heating pipes are fire proof covered. As a result, in the case of Type II, the maximum temperature was measured as $932^{\circ}C$ and line type fixed temperature detector displayed the fire location exactly in the receiver at a constant temperature. And transmission power distribution cables painted with fire proof paints in a certain section, the case of Type III, were found not to be fire resistant and fire proof covered heating pipes to be fire resistant for about 30 minutes. Also, fire simulation was carried out by entering fire load during a real fire test and as a result, the maximum temperature is $943^{\circ}C$, almost identical with $932^{\circ}C$ during a real fire test. Therefore, it is considered that fire behaviour can be predicted by conducting fire simulation only with common utility tunnels fire load and result values of heat release rate, height of the smoke layer, concentration of O2, CO, CO2 etc. obtained by simulation are determined to be applied as the values during a real fire experiment. In the future, it is expected that more reliable information on domestic underground common utility tunnels fire accidents can be provided and it will contribute to construction and maintenance repair effectively and systematically by analyzing and accumulating experimental data on domestic underground common utility tunnels fire accidents built in this study and fire cases continuously every year and complementing laws and regulations and administration manuals etc.

• Journal of the Society of Disaster Information
• /
• v.13 no.4
• /
• pp.442-454
• /
• 2017

Biological weapon is manipulated and produced from microorganisms such as bacteria, virus, rickettsia, fungi etc. It is classified as one of the Weapons of Mass Destruction (WMD) along with chemical weapon and radiological weapon. Biological weapon has a number of operational advantages over the other WMDs including ease of development and production, low cost and possibility of covert dissemination. In this study we analyze the history of biological weapon's development and the existing biological threats. Then, we predict the social impact of biological attack based on the physical properties of biological agent and infection mechanisms. By analyzing the recognition, dispersion pattern of agents, characteristics of the diseases in the biological weapon related historical events such as Sverdlovsk anthrax accident, 2001 anthrax attack, we found out some of the facts that biological attack would not likely to be recognized rapidly, produce large number of the exposed, increase number of paients who suffed from severe respiratory illness. It would lead the public health and medical service providers to be struggled with hugh burden. Base on the facts that we found from this case study, we suggested the main capabilities of public health required to respond to bioterrorism event efficiently. Syndromic surveillance and other reporting system need to be operated effeciently so that any suspicious event should be detected promptly. the pathogen which suspected to be used should be identified through laboratory diagnostic system. It is critical for the public health agency to define potentially exposed population under close cooperation with law enforcement agencies. Lastly, massive prophylaxis should be provided rapidly to the people at need by operating human and material resources effeciently. If those capacities of public health are consistantly fortified we would be able to deal with threat of bioterrorism successfully.

• Journal of the Korean Data and Information Science Society
• /
• v.26 no.5
• /
• pp.1105-1115
• /
• 2015

Big data analysis for disaster have been recently started especially to text data such as social media. Social data usually supports for the final two stages of disaster management, which consists of four stages: prevention, preparation, response and recovery. Otherwise, big data analysis for meteorologic data can contribute to the prevention and preparation. This motivated us to review big data technologies dealing with non-text data rather than text in natural disaster area. To this end, we first explain the main keywords, big data, data mining and machine learning in sec. 2. Then we introduce the state-of-the-art machine learning techniques in meteorology-related field sec. 3. We show how the traditional machine learning techniques have been adapted for climatic data by taking into account the domain specificity. The application of these techniques in natural disaster response are then introduced (sec. 4), and we finally conclude with several future research directions.

• Journal of the Korean Society of Hazard Mitigation
• /
• v.9 no.6
• /
• pp.51-56
• /
• 2009

Safety and quality assessment systems are very important in manufacture, storage, transportation, and handling of hazardous materials(hazmat) to prevent hazmat disasters. At present, hazardous materials exist everywhere in our daily lives with various forms of plastics, household products of cleaning and washing detergents, fertilizers or petroleum-related products. However, hazardous materials are dangerous substances when they are released to human or environment. Hazardous materials become very widely used substances in the age of oil-based industrial economy. The Korean Ministry of Environment (KMOE) describes about one hundred thousand types of chemicals are produced and used worldwide. Over four hundred new chemicals are introduced in every year. A crucial question for the Korean hazardous material management may have been raised: Will you be safe from hazardous material incidents? The gas leak disaster at Union Carbide's Bhopal, India in 1984 that made over 6,400 people killed and 30,000 to 40,000 people seriously injured is the representative case for the safety of hazmat. Korea becomes vulnerable to hazmat disaster due to the development of high-tech industry. Thus, the risk assessment system is required to Korea for transferring abandoned hazmat management systems to self-correcting safety systems. This research analyzed characteristics of various hazmat incidents applying statistical analysis methods including frequency analysis or analysis of category data to hazmat incidents for ten years. All of three analyses of category data indicate the significance of causality between hazmat incident site groups and seasons, regional groups, and incident casualty groups.