• Journal of Cadastre & Land InformatiX
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• v.47 no.1
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• pp.251-265
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• 2017

On the Korean peninsula, which has been recognized as a safe haven from earthquakes, A magnitude 5.8 earthquake occurred. It has been confirmed that the Korean Peninsula is no longer a safe zone from an earthquake. The purpose of this study is to examine the state of the earthquake preparedness in our society and to grasp the properties of the building which is a direct damage object in the event of an earthquake and to help the decision making of the earthquake disaster prevention policy through the construction of the earthquake safety map. There is a purpose. Earthquake safety maps are created through spatial analysis using GIS tools. The construction of an earthquake safety map is not the whole of the earthquake disaster prevention policy, but it means that it is a starting point to effectively replace the earthquake disaster prevention system.

• The Korea Journal of Herbology
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• v.30 no.4
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• pp.1-9
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• 2015

Objectives : The present study was under taken to characterize chemical composition, antioxidant and cyto-protecting capacity of essential oil obtained from leaves of Liriodendron tulipifera L. Methods : Essential oil from the leafof L. tulipifera L. (EOLL) was extracted by hydro-distillation process and further its chemical composition was evaluated by GC-MS analysis. The in vitro antioxidant potential of the EOLL was determined by DPPH ^●, ABTS ^●+, superoxide and nitric oxide free radical scavenging activity using different concentrations in the range of 50-800 μg/mL. In addition, cyto-protecting property of the EOLLwas determined by MTT assay on Raw 264.7 macrophage cells challenged with hydrogen peroxide (H ₂ O ₂ ). Results : The result of GC-MS analysis showed presence of 34 volatile compounds, principally germacrene D, spathulenol, and α -cadinol in EOLL. The in vitro antioxidant assays of EOLL at the highest used concentration of 800 μg/mL showed 81.62, 84.29, 83.59 and 58.59% inhibition of DPPH ^●, ABTS ^●+, superoxide, and nitric oxide radicals, respectively. It also showed ferric reducing ability with 1310.04 mM Fe (II)/g of essential oil. The EOLL at three different concentrations (200, 400 and 800 μg/mL) protected the cells from H ₂ O ₂ -induced cell damage through scavenging intracellular ROS. Conclusion : The findings from the study suggest that essential oil isolated from leaves of L tulipifera L. is a potent sources of natural antioxidants, which could be used to treat the diseases associated with oxidative stress condition.

• Smart Structures and Systems
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• v.15 no.6
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• pp.1583-1600
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• 2015

When natural disasters occur, including earthquakes, tsunamis, and debris flows, they are often accompanied by various types of damages such as the collapse of buildings, broken bridges and roads, and the destruction of natural scenery. Natural disaster detection and warning is an important issue which could help to reduce the incidence of serious damage to life and property as well as provide information for search and rescue afterwards. In this study, we propose a novel computer vision technique for debris flow detection which is feature-based that can be used to construct a debris flow event warning system. The landscape is composed of various elements, including trees, rocks, and buildings which are characterized by their features, shapes, positions, and colors. Unlike the traditional methods, our analysis relies on changes in the natural scenery which influence changes to the features. The "background module" and "monitoring module" procedures are designed and used to detect debris flows and construct an event warning system. The multi-criteria decision-making method used to construct an event warring system includes gradient information and the percentage of variation of the features. To prove the feasibility of the proposed method for detecting debris flows, some real cases of debris flows are analyzed. The natural environment is simulated and an event warning system is constructed to warn of debris flows. Debris flows are successfully detected using these two procedures, by analyzing the variation in the detected features and the matched feature. The feasibility of the event warning system is proven using the simulation method. Therefore, the feature based method is found to be useful for detecting debris flows and the event warning system is triggered when debris flows occur.

• Journal of the Korean Geosynthetics Society
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• v.17 no.2
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• pp.9-18
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• 2018

In this study, a field model experiment was performed to analyze the bahavior of slope during failure. It was analyzed through x-MR control chart method with inverse displacement and K-value. As a result, the portent was confirmed at 4 minutes before slope failure in Case 1. The change of the control limit line according to moving range was analyzed and it was effective to apply K = 3. Use of the inverse displacement and x-MR control chart method will be useful for the prediction of abnormal behavior through quick and objective judgment. Prediction of slope failure using control chart method can be used as basic data of slope measurement management standard, and it can contribute in reduction of life and property damage caused by slope disaster.

• Journal of Environmental Science International
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• v.21 no.12
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• pp.1511-1521
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• 2012

An attempt is made to analyse characteristic features of heavy rainfalls which occur at the metropolitan area of the Korean peninsular the on- and off- Changma season. For this, two representative heavy rainfall episodes are selected; one is the on-Changma season wherein a torrential rain episode happened at Goyang city on 12 July 2006, and the other is the off-Changma season, a heavy rainfall event in Seoul on 21 September 2006. Both recorded considerable amounts of precipitation, over 250mm in a half-day, which greatly exceeded the amount expected by numerical prediction models at those times, and caused great damage to property and life in the affected area. Similarities in the characteristics of both episodes were shown by; the location of upper-level jet streak and divergence fields of the upper wind over heavy rainfall areas, significantly high equivalent potential temperatures in the low atmospheric layer due to the entrainment of hot and humid air by the low-level jet, and the existence of very dry air and cold air pool in the middle layer of the atmosphere at the peak time of the rainfall events. Among them, differences in dynamic features of the low-level jet and the position of rainfall area along the low-level jet are remarkable.

• Journal of the Korea Convergence Society
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• v.8 no.10
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• pp.1-8
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• 2017

Accurate forecasting enables to effectively prepare for future phenomenon. Especially, meteorological phenomenon is closely related with human life, and it can prevent from damage such as human life and property through forecasting of weather and disaster that can occur. To respond quickly and effectively to oil spill accidents, it is important to accurately predict the movement of oil spills and the weather in the surrounding waters. In this paper, we selected four representative machine learning techniques: support vector machine, Gaussian process, multilayer perceptron, and radial basis function network that have shown good performance and predictability in the previous studies related to oil spill detection and prediction in meteorology such as wind, rainfall and ozone. we suggest the applicability of oil spill prediction model based on machine learning.

• Proceedings of the Korea Concrete Institute Conference
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• 2008.11a
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• pp.605-608
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• 2008

This study investigated fundamental properties corresponding to mixtures for the high strength, and their properties of spalling prevention after a fire test. The results were summarized as following. For the flowability of using mixtures for the high strength, the target flow was satisfied with a small quantity of high performance reducing water agent to compare with silica fume. For the compressive strength in the case of using mixtures for the high strength, it was higher to compare with silica fume at 7 days, so it was proved that using mixtures for the high strength was profitable to prevent early frost damage. The compressive strength at the 28 days of silica fume and mixtures for the high strength were similar. There was no reduced tendency at the compressive strength according fiber contents, so it found out that the bonding strength between the fiber and concrete was hardly effective. For the spalling properties, the specimens without fibers were destroyed, however using over 0.05% of NY and PP fibers was effective to prevent spalling on the high strength concrete.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.2
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• pp.411-421
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• 2015

These days, a conversion of the fast-advancing ICT (Information and Communications Technologies) and the IoT (Internet of Things) has been in progress. However, these conversion Technology could lead to many of the security threat existing in the ICT environment. The security threats of car in the IoT environment could cause the property damage and casualty. There are the inadequate preparations for the car security and the difficulty of detection for the security threats by itself. In this paper, we proposed the decision-making framework for the anomaly detection and found out what are the threats of car in the IoT environment. The discrimination of the factor, path and type of threats from the attack against the car should take priority over the self-inspection and the swift handling of the attack on control system.

• Journal of Navigation and Port Research
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• v.29 no.8 s.104
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• pp.661-666
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• 2005

Recent warnings indicate that there is a potential risk of massive earthquake. These earthquakes could produce large-scale tsunamis. Consideration of the effect of Tsunami to the moored ship is very important bemuse it brings the loss of life and vast property damage in a viewpoint of ship operations within a harbor. If a tsunami occurs, a ship in a harbor may begin drifting in case of ship entering and departing harbor, and breakage of mooring rope and drifting of moored ship are happened. And extremely serious accident, such as stranding and collision to a quay, might occur. On the other hand, since the tsunami consists of approximately component waves of several minutes, there is a possibility of resonance with the long period motion of mooring vessel. As the speed of Tsunami is much faster than tidal current in a harbor, a strong resisting force might act on the moored ships. In this paper, the numerical simulation procedure in the matter of ship motions due to the attack of large-scale tsunamis are investigated and the effects on the ship motions and mooring loads are evaluated by numerical simulation.

• Journal of Ocean Engineering and Technology
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• v.21 no.6
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• pp.72-80
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• 2007

The tsunami that resulted from the Central East sea Earthquake, which registered 7.7 on the Richter scale, that occurred over the entire water region in Akita on May. 26, 1983 and the tsunami that was triggered by the Southwest off Hokkaido Earthquake (7.8 on the Richter scale) that occurred in Southwest off Hokkaido on July 12, 1993 are representative cases that led to considerable damage in life and property, not only in Japan but also in Korea. In this study, multi-grid method was used in order to reproduce sufficiently the shoaling effect that occurs as water depth becomes shallow in the shallow water region and moving boundary condition was introduced to consider the runup in the coastal region. For the tsunamis that exerted considerable effect on the East Sea coast of Korea that were caused by the Central East Sea Earthquake in 1983 and the Southwest off Hokkaido Earthquake in 1993, characteristics like water level rise and propagation in the East Sea coast will be examined using numerical simulations. At the same time, these values will be compared with observed values. In addition, maximum water level rise and change in the water level with respect to time that were caused by the tsunamis were examined at each location along the East sea coast. Usefulness of numerical analysis was verified by comparing with observed values.