• Journal of the Korean Society of Hazard Mitigation
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• v.2 no.4 s.7
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• pp.117-122
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• 2002

A large number of accidents at an underground place have been happening, including the gas explosion under construction of subway, the fires of underground utility and underground shopping malls, and other explosion, at home and abroad recently. These accidents make the function of a city ineffective due to the paralyses of electricity and communications net as well as the loss of property, and cause people to feel unsecured with accompaniment of a heavy of toll of lives. This study suggests safety assessment items and fire protection assessment technique for underground shopping malls by extracting dangerous elements in the management stage through examination of related accidents, documents and present conditions.

• Fire Science and Engineering
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• v.23 no.6
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• pp.24-31
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• 2009

The Environment of disaster has more complicated, diversified and unpredicted sides, which causes extensive damage to humankind. Above all, presently the climatic change causes worldwide disaster of nature like cataclysm, intense heat, drought, earthquake and hard winter. After 9.11, most of countries continuously try to protect their own compatriots' life and property which forms the social safety net as well. This research investigates the current system used by the firerenation which is the national disaster response agency.ict also suggests the unation whiih is the nasystem unationdisaster mthe nasys accundihg to tionld el of disaster like the constructe naof DB, disaster cycld repunt, analysis of danger, facilities ih is ation system, disaster media system, location search system, disaster damage collection system.

• Journal of Korean Tunnelling and Underground Space Association
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• v.20 no.2
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• pp.331-346
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• 2018

In the tunnel of domestic high - speed railway, the main fire - fighting facility, fire - extinguishing passageway, is installed. However, due to the high pressure of the high - speed train, frequent breakage and maintenance are caused by strong shock and long - term vibration. In order to solve these problems, it is necessary to improve the fire door, but in Korea, it is installed by submitting a certificate by simple KS F 2296 performance test. At present, it is developed as a simple test certification by producing a real scale fireproof door without the theoretical examination in advance, so that a high cost for improvement is occurring in Korea. Therefore, through this study, structural analysis study which can preliminary structure review was carried out in order to design the refuge connection passage fire door and to improve the performance improvement. In order to secure the reliability of the result value, the official authentication test (KS F 2296) were compared.

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1413-1425
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• 2023

The increasing frequency of wildfires due to climate change is causing extreme loss of life and property. They cause loss of vegetation and affect ecosystem changes depending on their intensity and occurrence. Ecosystem changes, in turn, affect wildfire occurrence, causing secondary damage. Thus, accurate estimation of the areas affected by wildfires is fundamental. Satellite remote sensing is used for forest fire detection because it can rapidly acquire topographic and meteorological information about the affected area after forest fires. In addition, deep learning algorithms such as convolutional neural networks (CNN) and transformer models show high performance for more accurate monitoring of fire-burnt regions. To date, the application of deep learning models has been limited, and there is a scarcity of reports providing quantitative performance evaluations for practical field utilization. Hence, this study emphasizes a comparative analysis, exploring performance enhancements achieved through both model selection and data design. This study examined deep learning models for detecting wildfire-damaged areas using Landsat 8 satellite images in California. Also, we conducted a comprehensive comparison and analysis of the detection performance of multiple models, such as U-Net and High-Resolution Network-Object Contextual Representation (HRNet-OCR). Wildfire-related spectral indices such as normalized difference vegetation index (NDVI) and normalized burn ratio (NBR) were used as input channels for the deep learning models to reflect the degree of vegetation cover and surface moisture content. As a result, the mean intersection over union (mIoU) was 0.831 for U-Net and 0.848 for HRNet-OCR, showing high segmentation performance. The inclusion of spectral indices alongside the base wavelength bands resulted in increased metric values for all combinations, affirming that the augmentation of input data with spectral indices contributes to the refinement of pixels. This study can be applied to other satellite images to build a recovery strategy for fire-burnt areas.

• Nuclear Engineering and Technology
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• v.51 no.1
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• pp.317-324
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• 2019

A high energy arcing fault event occurred in the medium-voltage (13.8 kV and 4.16 kV) metalclad switchgears in a nuclear power plant not only affecting switchgear but also connected equipment due to the arc energy. The high energy arcing fault also causes a fire that influences the safety function of the unit. Therefore, from the safety point of view, it is necessary to evaluate the influences of high energy arcing fault events on the safety functions of nuclear power plants. The purpose of this paper is to elaborate the characteristics of high energy arcing faults and propose a high energy arcing fault mitigation scheme for medium voltage networks in nuclear power plants.

• Nuclear Engineering and Technology
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• v.50 no.8
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• pp.1421-1425
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• 2018

The dynamics of gas release at thermal oxidation of extraction systems on the basis of diamides of dicarbonic acids in fluorinated sulphones with 14 mol/L $HNO_3$ was investigated. The effect of preirradiation of the mixtures with accelerated electrons on the kinetics of their thermolysis was determined. The mixtures were heated in an autoclave at temperatures of 170 and $200^{\circ}C$ and irradiated using an electron accelerator to absorbed doses of 0.1, 0.5, and 1.0 MGy. It has been shown that no conditions for autocatalytic oxidation at thermolysis of extraction mixtures irradiated up to a dose of 1 MGy were developed.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.134-141
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• 2023

We present a novel method aimed at refining ground truth data through regularization and modification, particularly applicable when working with the original ground truth set. Enhancing the performance of deep neural networks is achieved by applying regularization techniques to the existing ground truth data. In many machine learning tasks requiring pixel-level segmentation sets, accurately delineating objects is vital. However, it proves challenging for thin and elongated objects such as blood vessels in X-ray coronary angiography, often resulting in inconsistent generation of ground truth data. This method involves an analysis of the quality of training set pairs - comprising images and ground truth data - to automatically regulate and modify the boundaries of ground truth segmentation. Employing the active contour model and a recursive ground truth generation approach results in stable and precisely defined boundary contours. Following the regularization and adjustment of the ground truth set, there is a substantial improvement in the performance of deep neural networks.

• Fire Science and Engineering
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• v.30 no.5
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• pp.60-66
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• 2016

This study investigated the structure and combustion characteristics of four species, Timber Douglas-fir being used construction materials (finishes), Lauan, Cryptomeria japonica, Pinus densiflora trees in the area. In lookong into the ignition characteristics was a time range of ignition (TTI) appeared in the 21 s~32 s, especially Pinus densiflora TTI is ignited in a relatively rapid 601 s to 21 s than the other materials were destroyed in the 631 s. The maximum heat release rate and average heat release rate is Pinus densiflora > Lauan > Cryptomeria japonica > Douglas-fir showed a net. Barrel emissions are Lauan > Douglas-fir > Pinus densiflora > Cryptomeria japonica was in order. The total emissions was postponed Pinus densiflora $424.80m^2/m^2$, Lauan $185.93m^2/m^2$. Douglas-fir carbon emissions of 1460, showing 0.185 kg/kg CO maximum value from s $CO_2$ values show the maximum value to 15,986 kg/kg in 750 s stopped in the 3,090 s. Next, the study suggested methods to utilize as the basic data for evaluating the safety of the fire as a building material.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.641-651
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• 2022

This research compares and analyzes evacuation time depending on the change in stair width in case of fire at Goshiwons. For this, a simulation has been conducted based on possible evacuation time according to the calculation method for the number of people admittable to a specific target for fire fighting equipped with accommodation. Currently, Gosiwon, which is classified as an accommodation facility (a total floor area of 500 m² or more), uses blind spots prescribed by the Fire Services Act, Building Act, and Parking Act to build a high-rise building on a small area of land, and most Gosiwon is transformed into a modified accommodation. This is in line with the owner's operating profit, so it is expected to show a continuous increase. Securing the golden time of Gosiwon evacuation time is the last bastion of Gosiwon residents who belong to the economically disadvantaged in our society, and we hope this study will serve as a starting point for discussions on revising related laws and regulations to establish a social safety net As a result of the evacuation simulation analysis, the evacuation time was the least when the width of the group and the evacuation stairs were expanded to 200cm, and the evacuation time of the existing building was reduced by up to 166.3 seconds by comparing 648.4 seconds and scenario 6. This analysis can be meaningful, in that the width of the evacuation stairs revision of related laws and regulations for the safety of multiplex available premises.

• Journal of agriculture & life science
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• v.46 no.4
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• pp.31-39
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• 2012

In this study, biodiversity was classified as 4 sectors (genes, species, ecosystems, and cultures) and overall 14 indicators were subdivided by the classification criterion of 4 sectors. Among those 14 indicators, monetary evaluation was conducted for 11 indicators that can be quantified in economic perspectives. Results show that negative economy effects (forest degradation, forest fire, forest damage caused by diseases and insects, deforestation, and cost under the assumption with the adoption of the Nagoya Protocol to be compensated for traditional knowledge) by reducing forest biodiversity were evaluated as 254.5 billion won annually. Also, Bioindustry, indigenous species, forest production, protection area, and income associated with mountain village were considered as positive economy effects and their annual economic value was 6.72 trillion won. Net annual benefit by maintaining forest biodiversity was about 6.5 trillion won.