• Proceedings of the Korean Geotechical Society Conference
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• 2009.09a
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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.

• Proceedings of the Korean Society of Veterinary Pathology Conference
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• 2005.11a
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• pp.79-80
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• 2005

• Journal of the Korean Society of Safety
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• v.34 no.3
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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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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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.

• International Journal of High-Rise Buildings
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• v.12 no.3
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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).

• Fire Science and Engineering
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• v.27 no.3
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• pp.60-65
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• 2013

EIFS system has the merit of low construction cost and shortening of construction period by easy-to-construct. For such reasons as mentioned above, it has been using across the board such as residential building, school, officetel, building remodeling and so on. It, however, has a drawback of generating plenty of combustible gases from styrofoam which is main material of it. In this regard, measures to prevent losses of life from combustible gases are needed urgently as fires on residential buildings applied EIFS caused human casualties resulted from combustible gases. With respect to the above, this study will analyze the risk of fires on residential facilities, such as multi-family apartment houses, schools and other buildings, applied EIFS which is the most frequently used as material of exterior wall and suggest countermeasure of it.

• Computers and Concrete
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• v.4 no.3
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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.

• Korean Journal of Artificial Intelligence
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• v.10 no.1
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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.

• Journal of Korea Water Resources Association
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• v.51 no.4
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• pp.301-311
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• 2018

Recently, the flood inundation caused by heavy rainfall in urban area is increasing due to global warming. The variability of climate change is described in the IPCC 5th report (2014). The precipitation pattern and hydrological system is varied by climate change. Since the heavy rainfall surpassed the design capacity of the pipeline, it caused great damage in metropolitan cities such as Seoul and Busan. Inundation in urban area is primarily caused by insufficient sewer capacity and surplus overflow of river. Inundation in urban area with concentrated population is more dangerous than rural and mountains areas, because it is accompanied by human casualties as well as socio-economic damage to recover destruction of roads, brides and underground spaces. In addition, various factors such as an increase in impervious area, a short time of concentration to outlet, and a shortage of sewer capacity's lack increase flooding damage. In this study, flood inundation analysis was conducted for vulnerable areas using XP-SWMM. Also, three structural flood prevention measures such as drainage pipeline construction, detention reservoir construction, and flood pumping station construction are applied as flood damage prevention alternatives. The flood data for each alternative were extracted by dividing the basin by grid. The Spatial Compromise Programming are applied using flood assessment criteria, such as maximum inundation depth, inundation time, and construction cost. The purpose of this study is to reflect the preference of alternatives according to geographical condition even in the same watershed and to select flood defense alternative considering regional characteristics.