• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.5
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• pp.209-214
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• 2018

In this paper, we recognize the damage caused by a disaster to a facility in the event of a large-scale disaster and present the possible disasters in the form of a matrix. The typhoon was selected as a major disaster and covered mainly the flood damage, a possible damage caused by the typhoon. Flood damage is mainly caused by flooding, and damage is determined by flooding and flow rate, and the results of applying this to low-rise facilities are derived. In addition, the results were derived by applying a method of classification of disaster types in a matrix format to make it easy to see at a glance the connection between disasters caused by damage to a facility. Continuing research in the form presented in this paper will help us identify additional disasters as an occurrence of a disaster.

• Proceedings of the KSRS Conference
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• 2008.10a
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• pp.3-5
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• 2008

An increase in oil and gas plants caused by development of process industry have brought into the increase in use of flammable and toxic materials in the complex process under high temperature and pressure. There is always possibility of fire and explosion of dangerous chemicals, which exist as raw materials, intermediates, and finished goods whether used or stored in the industrial plants. Since there is the need of efforts on disaster damage reduction or mitigation process, we have been conducting a research to relate explosion model on the background of real 3D terrain model. By predicting the extent of damage caused by recent disasters, we will be able to improve efficiency of recovery and, sure, to take preventive measure and emergency counterplan in response to unprepared disaster. For disaster damage prediction, it is general to conduct quantitative risk assessment, using engineering model for environmental description of the target area. There are different engineering models, according to type of disaster, to be used for industry disaster such as UVCE (Unconfined Vapour Cloud Explosion), BLEVE (Boiling Liquid Evaporation Vapour Explosion), Fireball and so on, among them, we estimate explosion damage through UVCE model which is used in the event of explosion of high frequency and severe damage. When flammable gas in a tank is released to the air, firing it brings about explosion, then we can assess the effect of explosion. As 3D terrain information data is utilized to predict and estimate the extent of damage for each human and material. 3D terrain data with synthetic environment (SEDRIS) gives us more accurate damage prediction for industrial disaster and this research will show appropriate prediction results.

• Journal of the Korean Institute of Gas
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• v.25 no.4
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• pp.1-9
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• 2021

The process and facilities of modern chemical plants are becoming increasingly complex, there is possibility of potential risk. Internal chemicals generate stress concentration when operated due to turbulence, laminar flow, pressure, temperature, friction, etc. It causes cumulative fatigue damage, which can damage or rupture chemical facilities and devices. The statistics of chemical accidents found that the highest rate of occurrence was in summer, and in the last five years statistics on chemical accidents, leakage incidents make up a decent percentage of accidents. Chemical leaks can cause serious human damage and economic damage, including explosions and environmental pollution. In this study, based on the leak accident of chemical plant, the risk analysis, and damage effects assessment were estimated using a 3D scanner and FLACS. As a result, if chemicals leak in summer, the risk is higher than in other seasons, the seasonal safety management measures, and countermeasure were estimated.

• Earthquakes and Structures
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• v.17 no.2
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• pp.175-189
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• 2019

The aim of the study is to show the results of complex shaking table experimental investigation focused on the response of two models of cylindrical steel tanks under mining tremors and moderate earthquakes, including the aspects of diagnosis of structural damage. Firstly, the impact and the sweep-sine tests have been carried out, so as to determine the dynamic properties of models filled with different levels of liquid. Then, the models have been subjected to seismic and paraseismic excitations. Finally, one fully filled structure has been tested after introducing two different types of damages, so as to verify the method of damage diagnosis. The results of the impact and the sweep-sine tests show that filling the models with liquid leads to substantial reduction in natural frequencies, due to gradually increasing overall mass. Moreover, the results of sweep-sine tests clearly indicate that the increase in the liquid level results in significant increase in the damping structural ratio, which is the effect of damping properties of liquid due to its sloshing. The results of seismic and paraseismic tests indicate that filling the tank with liquid leads initially to considerable reduction in values of acceleration (damping effect of liquid sloshing); however, beyond a certain level of water filling, this regularity is inverted and acceleration values increase (effect of increasing total mass of the structure). Moreover, comparison of the responses under mining tremors and moderate earthquakes indicate that the power amplification factor of the mining tremors may be larger than the seismic power amplification factor. Finally, the results of damage diagnosis of fully filled steel tank model indicate that the forms of the Fourier spectra, together with the frequency and power spectral density values, can be directly related to the specific type of structural damage. They show a decrease in the natural frequencies for the model with unscrewed support bolts (global type of damage), while cutting the welds (local type of damage) has resulted in significant increase in values of the power spectral density for higher vibration modes.

• Steel and Composite Structures
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• v.44 no.2
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• pp.241-254
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• 2022

The cables in a cable-stayed bridge are critical load-carrying parts. The potential damage to cables should be identified early to prevent disasters. In this study, an efficient deep learning model is proposed for the damage identification of cables using both a multi-layer perceptron (MLP) and a graph neural network (GNN). Datasets are first generated using the practical advanced analysis program (PAAP), which is a robust program for modeling and analyzing bridge structures with low computational costs. The model based on the MLP and GNN can capture complex nonlinear correlations between the vibration characteristics in the input data and the cable system damage in the output data. Multiple hidden layers with an activation function are used in the MLP to expand the original input vector of the limited measurement data to obtain a complete output data vector that preserves sufficient information for constructing the graph in the GNN. Using the gated recurrent unit and set2set model, the GNN maps the formed graph feature to the output cable damage through several updating times and provides the damage results to both the classification and regression outputs. The model is fine-tuned with the original input data using Adam optimization for the final objective function. A case study of an actual cable-stayed bridge was considered to evaluate the model performance. The results demonstrate that the proposed model provides high accuracy (over 90%) in classification and satisfactory correlation coefficients (over 0.98) in regression and is a robust approach to obtain effective identification results with a limited quantity of input data.

• Journal of the Korean Applied Science and Technology
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• v.40 no.1
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• pp.35-47
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• 2023

This study aimed to confirm the potential as a material for food, medicine, and cosmetics by measuring the physiological activity of the complex extract(Leonurus japonicus Houtt., Houttuynia cordata Thunberg and Citrus unshiu Markovich). The complex extract was with hot water, The evaluation of cytotoxicity, antioxidant, anti-inflammatory, and MAPKs of the extract was performed by using ELISA and western blot. Total polyphenols and flavonoid contents of complex extracts were 126.16 mg/g and 105.84 mg/g, respectively. The scavenging activities of DPPH and ABTS radical significantly increased in a dose-dependent in complex extracts. Compared to the control group, the complex extracts treatments significantly reduced concentrations of nitric oxide and inflammatory cytokine (i.e., IL-1β, TNF-α, and IL-6). Furthermore, the complex extracts treatments significantly reduced protein expression levels of MAPKs (i.e., ERK, JNK, and p38). The results indicate that the complex extract can be used for oxidative damage and inflammation. Thus, the results of this study can be used as basic data for composite materials for food, medicine, and cosmetics.

• Journal of the Korean Applied Science and Technology
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• v.40 no.6
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• pp.1289-1297
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• 2023

In this study, NF Complex of 0%, 0.5%, 2.5%, 12.5%, and 100% was prepared by complexing and extracting Indian gooseberry, Rosa multiflora Thunberg roots, and saw palmetto fruit in a ratio of 5:1:1. The manufactured NF Complex was applied to bleached sample hair and then compared and analyzed with damaged hair. To confirm the improvement effect, tensile strength, gloss, absorbance, and brightness were measured. As a result of the measurement, the tensile strength increased. The gloss content decreased by 100%, but the remaining content increased. The change in absorbance was minimal. There was also a change in brightness, but it was minimal. It was confirmed that there is a significant difference in the average value of NF Complex, and it is judged necessary to study various ratios in the future.

• Journal of Satellite, Information and Communications
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• v.12 no.4
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• pp.18-25
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• 2017

Recently, disasters have become bigger and more complex, and the economic damage has increased due to the increase of urbanization and the concentration of infrastructure. These large complex disasters occur simultaneously in the second and third disasters due to the first single disaster, but the existing disaster management system in Korea is less adaptable because it is divided into natural disasters and social disasters. The cause of the complex disaster is the rapid urbanization of the residential environment caused by the change of the industrial structure, and the threat factors are various and unpredictable in the living environment. Natural disasters are becoming larger and more complex due to climate change due to global warming. Unlike the past, natural disasters are likely to develop into multiple disasters such as urban paralysis. Therefore, this paper considers natural disasters and social disasters in a comprehensive concept in order to overcome limitations of disaster management by existing single factors and manage disasters effectively and rationally. It is expected that it will play a big role in protecting the lives and property of the people through the establishment of a preemptive disaster management framework.

• Molecules and Cells
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• v.40 no.10
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• pp.773-786
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• 2017

The loss of green coloration via chlorophyll (Chl) degradation typically occurs during leaf senescence. To date, many Chl catabolic enzymes have been identified and shown to interact with light harvesting complex II to form a Chl degradation complex in senescing chloroplasts; this complex might metabolically channel phototoxic Chl catabolic intermediates to prevent oxidative damage to cells. The Chl catabolic enzyme 7-hydroxymethyl Chl a reductase (HCAR) converts 7-hydroxymethyl Chl a (7-HMC a) to Chl a. The rice (Oryza sativa) genome contains a single HCAR homolog (OsHCAR), but its exact role remains unknown. Here, we show that an oshcar knockout mutant exhibits persistent green leaves during both dark-induced and natural senescence, and accumulates 7-HMC a and pheophorbide a (Pheo a) in green leaf blades. Interestingly, both rice and Arabidopsis hcar mutants exhibit severe cell death at the vegetative stage; this cell death largely occurs in a light intensity-dependent manner. In addition, 7-HMC a treatment led to the generation of singlet oxygen ($^1O_2$) in Arabidopsis and rice protoplasts in the light. Under herbicide-induced oxidative stress conditions, leaf necrosis was more severe in hcar plants than in wild type, and HCAR-overexpressing plants were more tolerant to reactive oxygen species than wild type. Therefore, in addition to functioning in the conversion of 7-HMC a to Chl a in senescent leaves, HCAR may play a critical role in protecting plants from high light-induced damage by preventing the accumulation of 7-HMC a and Pheo a in developing and mature leaves at the vegetative stage.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.437-443
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• 2016

To treat a kind of nail damage, this study proceeded with gel polish procedure oriented to 19 women in their twenties and thirties, dividing into three experimental groups, such as the A group with non-treatment (n=6), the B group taking Nutritional Convergent supplement (n=6), and the C group simultaneously taking Nutritional Convergent supplement and Nail Convergent Strengthener (n=7), and inquired into the superficial change of nails, changes of thickness, analysis of damage degree and satisfaction rate. The analysis shows that the C group simultaneously applied with dietary supplement and complex nail supplement presented the best result in all areas. As for the morphological changes of the surface of nails measured by the scanning electron microscope, there were definite changes as compared with the B group. According to the result, it is proved that complex dietary supplement helps to improve the thickness and the surface of damaged nails and it is reasoned that a higher effect can be expected when complex nail supplement is simultaneously used.