• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2009년도 세계 도시지반공학 심포지엄
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• pp.677-694
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• 2009

While the budget has been allocated more for repairs and reinforcements, casualties are gradually increased due to slope disaster. Slope disaster causes road damaged as well as casualties. It also causes significant social and economic loss. The measurement device, which is installed inside ground of slope like inclinometer, has the high loss rate when slope is being slided. The electric type and the vibrating wire type have low durability because of corrosion. To cover the demerit of the present slope monitoring, the measurement method using the Multi-Antenna GPS has been developed. The Multi-Antenna GPS has been installed in the local slope as the regular monitoring system for slope. Although the initial cost of the Multi-Antenna GPS for installation is high, the additional cost is low. So it is the suitable method for large slope. The regular monitoring system using the Multi-Antenna GPS is the suitable measurement method for watching slope collapse, which is occurred widely, because it is economical, has high durability, and collects data with high resolution.

• 한국수의병리학회:학술대회논문집
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• 한국수의병리학회 2005년도 Proceedings of The 2nd Asian Society of Veterinary Pathology Symposium(Vol.2) and 2005 Annual Meeting of The Korean Society of Veterinary Pathology(Vol.9)
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• pp.79-80
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• 2005

• 한국안전학회지
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• 제34권3호
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• pp.89-95
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• 2019

Currently, the legal framework for installation of safety facilities has not been implemented for new multi-purpose business excluding 23 multi-purpose business types, and therefore, there is a high likelihood of large number of casualties in case of fire accident. At present, the new multi-purpose business can start its operation only with administrative actions of the licensing agencies and registration to the tax agency, and it is difficult that the fire department, which is a competent safety management department, makes intervention them in the same way as before. In addition, as the licensing agency has no authority to restrict the business due to insufficient implementation of safety facilities, a lot of civil complaints occur, which causes difficulties in changing concerned laws and regulations rapidly. In this study, it is considered to analyze the legal system, status of safety management of multi-purpose business, type of new multi-use facility and characteristics of fire risk. Based on such analysis results, this study will suggest the improvement plan to solve the blind zones in the safety management, which enables the multi-purpose business to be operated within the legal framework.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 가을 학술논문 발표대회
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• pp.48-49
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• 2021

The purpose of evaluating the fire risk of a building is to predict damage or loss of life and property in unspecified circumstances and to minimize expected damage. The fire risk assessment for buildings in Korea analyzes fire risk according to performance-oriented design under the Enforcement Decree of the Fire Facilities Act and the Fire Causing Index under the Enforcement Decree of the Multi-Use Business Act. Fire risk analysis is mainly conducted by using fire statistics or analyzing the results of safety inspections of buildings. In the case of fire statistics, it is necessary to analyze the fire risk in consideration of the degree of fire damage in each number of fires, as all fires received by the fire department are collected. In addition, it is necessary to devise fire safety measures for buildings by predicting the number of casualties that may occur due to fires in each building. Accordingly, this study aims to analyze the characteristics of casualties by building use using the number of fires judged to have grown.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2021년도 가을 학술논문 발표대회
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• pp.208-209
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• 2021

In 2017, 100 aftershocks with a magnitude of 2.0~3.0 and 615 minor earthquakes in Pohang in Korea caused the collapse and destruction of aggregate, tile, glass, and other structural components of multi-family houses constructed as finishing materials for buildings, causing damage to vehicles and casualties. Based on this factor, seismic design standards were established for non-structural elements of buildings that were applied only to past structures. Therefore, this study reinterpreted various vibration response spectra transmitted to waterproof layers as well as the definition and concept of the waterproof layer demand response spectrum derived by developing various vibration response test evaluation devices through a new testing apparatus.

• 국제초고층학회논문집
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• 제12권3호
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• pp.225-234
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• 2023

Even at this point in the era of digital transformation, we are still facing many problems in the safety sector that cannot prevent the occurrence or spread of human casualties. When you are in an unexpected emergency, it is often difficult to respond only with human physical ability. Human casualties continue to occur at construction sites, manufacturing plants, and multi-use facilities used by many people in everyday life. If you encounter a situation where normal judgment is impossible in the event of an emergency at a life site where there are still many safety blind spots, it is difficult to cope with the existing manual guidance method. New variable guidance technology, which combines artificial intelligence and digital twin, can make it possible to prevent casualties by processing large amounts of data needed to derive appropriate countermeasures in real time beyond identifying what safety accidents occurred in unexpected crisis situations. When a simple control method that divides and monitors several CCTVs is digitally converted and combined with artificial intelligence and 3D digital twin control technology, intelligence augmentation (IA) effect can be achieved that strengthens the safety decision-making ability required in real time. With the enforcement of the Serious Disaster Enterprise Punishment Act, the importance of distributing a smart location guidance system that urgently solves the decision-making delay that occurs in safety accidents at various industrial sites and strengthens the real-time decision-making ability of field workers and managers is highlighted. The smart location guidance system that combines artificial intelligence and digital twin consists of AIoT HW equipment, wireless communication NW equipment, and intelligent SW platform. The intelligent SW platform consists of Builder that supports digital twin modeling, Watch that meets real-time control based on synchronization between real objects and digital twin models, and Simulator that supports the development and verification of various safety management scenarios using intelligent agents. The smart location guidance system provides on-site monitoring using IoT equipment, CCTV-linked intelligent image analysis, intelligent operating procedures that support workflow modeling to immediately reflect the needs of the site, situational location guidance, and digital twin virtual fencing access control technology. This paper examines the limitations of traditional fixed passive guidance methods, analyzes global technology development trends to overcome them, identifies the digital transformation properties required to switch to intelligent variable smart location guidance methods, explains the characteristics and components of AI-based public facility smart fire safety integrated system (ISFS).

• 한국화재소방학회논문지
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• 제27권3호
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• pp.60-65
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• 2013

외단열시스템(EIFS)은 단열효과가 뛰어나고 시공비가 저렴하며, 또한 시공성이 용이하여 공기(工期)를 단축할 수 있다는 장점이 있다. 이와 같은 이유로 외장재용 건축자재로서 서민들의 주거인 다세대 공동주택, 교육기관인 학교건물과 오피스텔 등의 신축 및 리모델링 등에 폭넓게 시공되고 있다. 그러나 스티로폼을 사용하는 재료의 특성상 화재발생 시 다량의 가연성 가스가 발생하는 특성이 있다. 최근 주택에서 발생하는 화재에서 가연성 가스와 관련된 인명피해가 빈번히 발생하고 있어 이에 대한 대책 마련이 시급히 요구되고 있다. 본 연구에서는 서민의 주거시설인 다세대 공동주택과 학교 교육기관 외벽의 소재로 가장 많이 사용되고 있는 외단열시스템 화재의 위험성을 분석하여 그 대책을 제안하고자 한다.

• Computers and Concrete
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• 제4권3호
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• pp.167-186
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• 2007

Ductility based design of reinforced concrete structures implicitly assumes certain damage under the action of a design basis earthquake. The damage undergone by a structure needs to be quantified, so as to assess the post-seismic reparability and functionality of the structure. The paper presents an analytical method of quantification and location of seismic damage, through system identification methods. It may be noted that soft ground storied buildings are the major casualties in any earthquake and hence the example structure is a soft or weak first storied one, whose seismic response and temporal variation of damage are computed using a non-linear dynamic analysis program (IDARC) and compared with a normal structure. Time period based damage identification model is used and suitably calibrated with classic damage models. Regenerated stiffness of the three degrees of freedom model (for the three storied frame) is used to locate the damage, both on-line as well as after the seismic event. Multi resolution analysis using wavelets is also used for localized damage identification for soft storey columns.

• 한국인공지능학회지
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• 제10권1호
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• pp.1-7
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• 2022

In this paper, a study was conducted to predict natural disasters in Afghanistan based on machine learning. Natural disasters need to be prepared not only in Korea but also in other vulnerable countries. Every year in Afghanistan, natural disasters(snow, earthquake, drought, flood) cause property and casualties. We decided to conduct research on this phenomenon because we thought that the damage would be small if we were to prepare for it. The Azure Machine Learning Studio used in the study has the advantage of being more visible and easier to use than other Machine Learning tools. Decision Forest is a model for classifying into decision tree types. Decision forest enables intuitive analysis as a model that is easy to analyze results and presents key variables and separation criteria. Also, since it is a nonparametric model, it is free to assume (normality, independence, equal dispersion) required by the statistical model. Finally, linear/non-linear relationships can be searched considering interactions between variables. Therefore, the study used decision forest. The study found that overall accuracy was 89 percent and average accuracy was 97 percent. Although the results of the experiment showed a little high accuracy, items with low natural disaster frequency were less accurate due to lack of learning. By learning and complementing more data, overall accuracy can be improved, and damage can be reduced by predicting natural disasters.

• 한국수자원학회논문집
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• 제51권4호
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• pp.301-311
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• 2018

지구 온난화가 심화됨에 따라 도시지역에서 집중호우에 의한 침수 피해가 증가하는 추세이다. 이러한 지구온난화에 의한 기후변화의 변동성은 IPCC 5차 보고서(2014)에서도 기술되어 있으며 기후변화에 의한 강수 패턴의 변화, 수문시스템의 변화 등 수자원 불확실성의 증가에 대하여 시사하고 있다. 최근 서울이나 부산과 같은 대도시의 관로의 수용 범위를 초과하는 국지성 호우가 발생하여 큰 피해를 초래하였다. 도시지역의 침수는 1차적으로 우수관거 통수능 부족에 의한 내수범람이 발생하고 방류구와 인접한 하천의 외수범람이 발생한다. 인구가 밀집되어 있는 도시지역에서 발생하는 침수는 인명피해 뿐만 아니라 도로, 교량, 지하공간 침수 및 파괴를 복구하기 위한 사회 경제적 피해를 동반하기 때문에 농촌, 산지 지역에 비해 피해량이 크다. 또한 도시개발에 인한 불투수면적 증가, 강우 유출시 출구부까지의 짧은 도달시간, 배수시설의 통수능부족 등 다양한 원인이 침수피해를 증대시킨다. 본 연구에서는 집중호우에 취약한 지역을 선정하고 XP-SWMM을 이용하여 내수침수 모의를 실시하였다. 또한 시범지역에 관로 개량, 우수저류지 설치, 우수펌프장 설치와 같은 홍수방어대안을 적용하여 각각의 침수모의를 실시하였으며 해당유역을 격자별로 분할하여 대안별 침수데이터를 추출하였다. 또한 격자별로 가장 적합한 구조적 홍수방어대안을 제시하기 위해 침수시간, 최대침수심, 구조물 설치비용을 평가요소로 이용하였으며 MCDM 기법 중 하나인 Compromise Programming 기법을 적용하였다. 본 연구에서는 동일 유역이라도 지리적 여건에 따라 대안의 선호도가 다르다는 점을 반영하고자 하였으며, Spatial Multi-Criteria Decision Making을 적용하여 지역특성을 고려한 홍수방어대안을 선정하는 방법에 대하여 연구하였다.