• Korean Journal of Remote Sensing
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• v.36 no.1
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• pp.29-39
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• 2020

Forest fire is a critical disaster that causes massive destruction of forest ecosystem and economic loss. Hence, accurate estimation of the burned area is important for evaluation of the degree of damage and for preparing baseline data for recovery. Since most of the area size damaged by wildfires in Korea is less than 1 ha, it is necessary to use satellite or drone images with a resolution of less than 10m for detecting the damage area. This paper aims to detect wildfire-damaged area from a Kompsat-3 image using the indices such as NDVI (normalized difference vegetation index) and FBI (fire burn index) and to examine the classification characteristics according to the methods such as Otsu thresholding and ISODATA(iterative self-organizing data analysis technique). To mitigate the salt-and-pepper phenomenon of the pixel-based classification, a gaussian filter was applied to the images of NDVI and FBI. Otsu thresholding and ISODATA could distinguish the burned forest from normal forest appropriately, and the salt-and-pepper phenomenon at the boundaries of burned forest was reduced by the gaussian filter. The result from ISODATA with gaussian filter using NDVI was closest to the official record of damage area (56.9 ha) published by the Korea Forest Service. Unlike Otsu thresholding for binary classification,since the ISODATA categorizes the images into multiple classes such as(1)severely burned area, (2) moderately burned area, (3) mixture of burned and unburned areas, and (4) unburned area, the characteristics of the boundaries consisting of burned and normal forests can be better expressed. It is expected that our approach can be utilized for the high-resolution images obtained from other satellites and drones.

• Journal of the Korean Society of Safety
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• v.33 no.1
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• pp.66-72
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• 2018

This study analyses the types, related operations, facilities, and causes of chemical accidents in Korea based on the RISCAD classification taxonomy. In addition, human error analysis was carried out employing different human error classification criteria. Explosion and fire were major accident types, and nearly half of the accidents occurred during maintenance operation. In terms of related facility, storage devices and separators were the two most frequently involved ones. Results of the human error-based analysis showed that latent human errors in management level are involved in many accidents as well as active errors in the field level. Action errors related to unsafe behavior leads to accidents more often compared with the checking behavior. In particular, actions missed and inappropriate actions were major problems among the unsafe behaviors, which implicates that the compliance with the work procedure should be emphasized through education/training for the workers and the establishment of safety culture. According to the analysis of the causes of the human error, the frequency of skill-based mistakes leading to accidents were significantly lower than that of rule-based and knowledge based mistakes. However, there was limitation in the analysis of the root causes due to limited information in the accident investigation report. To solve this, it is suggested to adopt advanced accident investigation system including the establishment of independent organization and improvement in regulation.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.49 no.8
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• pp.405-411
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• 2000

When faults occur in transmission lines, the classification of faults is very important. If the fault is HIF(High Impedance Fault), it cannot be detected or removed by conventional overcurrent relays (OCRs), and results in fire hazards and causes damages in electrical equipment or personal threat. The fast discrimination of fault needs to effective protection and treatment and is important problem for power system protection. This paper propolsed the fault detection and discrimination algorithm for LIFs(Low Impedance Faults) and HIFs(High Impedance Faults). This algorithm uses artificial neural networks and variation of 3-phase maximum currents per period while faults. A double lines-to-ground and line-to-line faults can be detected using Neural Network. Also, the other faults can be detected using the value of variation of maximum current. Test results show that the proposed algorithms discriminate LIFs and HIFs accurately within a half cycle.

• Journal of the Korean Home Economics Association
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• v.36 no.9
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• pp.1-11
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• 1998

In this paper the Korean standards of clothing for firefighters were examined and analysed to improve the uniform's effectiveness. The results of the analysis are as follows: 1. The Korean standards for firefighters' uniforms first established in 1949 and were amended eleven times before 1983. The standards were reestablished in 1983 and had been amended four times by 1995. Recently there have been different causes of fire, and fires have become bigger and bigger. For these reasons, it is necessary to review the Korean standards for firefighters' uniforms. 2. The Korean standards are very different from those of Japan and USA. In Japan, firefighters' uniforms are classified by factors such as season and working conditions, while in Korea they are classified by factors such as sex and position. Furthermore, there are many items which are not mentioned in the Korean standards, such as ear covers and gloves. Textile materials are specified by brand names or company-designated item names. Classification of clothing items also needs to be esamined. 3. Such words as fire-proof, water-proof and heat-proof clothing just mean that the clothing blocks fire, water, or hear, and do not specifically include the meaning of protecting firefighters. Some word such as "firefighters' clothing" must be developed to imply all these types of blockage and protection. 4. Considering the rules of Korean orthography, the rules of romanization of borrowed words, and technical terms for clothing many technical words in the Korean standards for firefighters' uniforms are not appropriate, and need to be corrected and improved.

• Journal of Korean Institute of Fire Investigation
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• v.11 no.1
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• pp.59-65
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• 2008

Among the various cases of fire accident, gas accident which is roost essential have a lot of forms and causes. The quantity consumed of gas is increasing because of increment of gas-using families and variations of gas machinery. The quantity consumed of gas in 2007 was 35078 tons and the average rate of increasement was 9.4%. The amount of gas accident was on the peak at 1995 when 557 accidents occurred in a year. In 2007, 123 gas accidents was occurred and the average rate of diminution was 11.5%. Accidents by LP gas took 80% of the whole accident and city gas and high pressure gas took 20%. In case of LP gas, accidents were usually occurred because of lack of blocking after the removal of gas machinery and moveable butane burner. Especially, the accidents cause by carelessness of a provider is increasing. Gas accidents which generate damage of human life and property, are caused by users' carelessness, providers' carelessness, inferiority of structure and old products. In this thesis, We will classify the gas accidents. Furthermore through the classification of accidents by forms, causes and regions, this thesis going to be a reference to understand and prevent the accidents.

• Fire Science and Engineering
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• v.15 no.1
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• pp.100-107
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• 2001

A Interior material, a main cause of fire-growth and generating toxic gas when it burns, should be dealt with great care in life safety design. Nonetheless, it has been used recklessly with undue attention to its contribution to fire in particular in entertainment occupancy and causes many victims in fire. Therefore, this study attempts to examine the current use of interior material in Korea and find out what to be improved and enhanced in terms of related regulations. Based on the comparison and analysis of the Korea regulation with those of advanced nations, suggestions are made for an effective and efficient improvement and complement to the current system. What can be suggested from this study are as follows. The use of interior material should be controlled under the unified regulation of fire-safety codes. Code should be set up so that the current construction enforcement should be applied in retroactive to those entertainment buildings that obtained a license prior to the implementation of the system certifying that the building is fire-resistant and fire-protective. The legislation should be made to control the fire-protection facilities of small-sized, underground entertainments. It should be obliged to present the blueprint displaying the use of interior material at the time of changing occupancy. Or, it should be compelled to report changes that go way without permit to the administrative office. A compulsory provision should be set up to have a fire-resistant performance to movable furniture. The classification index designating the fire hazard of interior material by flame spread rate and smoke toxicity and its test method should be established.

• Journal of the Ergonomics Society of Korea
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• v.30 no.1
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• pp.87-98
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• 2011

In this study, we investigated and identified criterial human factors(errors), most of which lead to terrible ship accidents such as collisions, sinking, fire and explosions resulting both in human lives and physical damages to ships as well as surrounding environments. To this end, we went through the accident reports of 413 cases over 2005~2009 period and classified the human factors into 6 major factors with 19 sub ones which were constructed in hierarchical order. The relative importance of major factors was calculated and among others the lack of awareness turned out to be the most important factor with the weight of 0.391. The contributions of the results in the research are two fold: it will help (i) identify the root causes of ship accidents and prevent further potential ship related incidents, (ii) analyze the degree of the risk associated with the ship accidents, when risk analysis is performed.

• Fire Science and Engineering
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• v.20 no.2 s.62
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• pp.80-86
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• 2006

This study focuses on spalling phenomenon which is the one of the main issues of high strength concrete. The definition, classification and characterization, causes and the reaction mechanism of the spalling were investigated on the basis of previous literatures. The spalling phenomenon occurs when several factors such as sharp temperature increase, high water content, low water/cement ratio and local stress concentration in material combine in the concrete material. On the basis o f the factors, the preventing methods from the spalling are known as decrease of temperature increase, preventing of concrete fragmentation and fast drying of internal moisture. In this study, the controlling method of water content below some critical value was proposed as the most effective spalling-preventing method among the spalling-preventing methods. The spalling phenomenon can be prevented by adjusting the water content in the high strength concrete. Therefore, an enforced drying method is needed to decrease the water content below a critical value. Additional experimental data should be generated to determine the critical value of water content for preventing the spalling.

• Journal of the Korea Institute of Construction Safety
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• v.1 no.1
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• pp.31-39
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• 2018

It is reported that about 20 % of all fires in Korea are caused by the electric equipment and installations. In complex and large-scale buildings, the sizes of electric fires are becoming larger as property damage and casualties increase. Among the causes of various electric fires, fire by short circuit accounts for about 71.5% of overall fires, and in the classification by electric equipment and installation, fire caused by wiring and wiring equipment accounts for approximately 38.3% of overall fires. The purpose of this study is to propose methods to prevent electric fires due to short circuit by improving indoor wiring currently in use and to find the fundamental measures to prevent wiring equipment caused fires by improving the socket and plug which are commonly used in wiring equipment. It is expected that the electric fire prevention measures presented through this study can be used as a measure to protect many people and properties by eliminating the root cause of electric fire.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.967-977
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• 2022

The occurrence and intensity of wildfires are increasing with climate change. Emissions from forest fire smoke are recognized as one of the major causes affecting air quality and the greenhouse effect. The use of satellite product and machine learning is essential for detection of forest fire smoke. Until now, research on forest fire smoke detection has had difficulties due to difficulties in cloud identification and vague standards of boundaries. The purpose of this study is to detect forest fire smoke using Level 1 and Level 2 data of Geostationary Environment Monitoring Spectrometer (GEMS), a Korean environmental satellite sensor, and machine learning. In March 2022, the forest fire in Gangwon-do was selected as a case. Smoke pixel classification modeling was performed by producing wildfire smoke label images and inputting GEMS Level 1 and Level 2 data to the random forest model. In the trained model, the importance of input variables is Aerosol Optical Depth (AOD), 380 nm and 340 nm radiance difference, Ultra-Violet Aerosol Index (UVAI), Visible Aerosol Index (VisAI), Single Scattering Albedo (SSA), formaldehyde (HCHO), nitrogen dioxide (NO₂), 380 nm radiance, and 340 nm radiance were shown in that order. In addition, in the estimation of the forest fire smoke probability (0 ≤ p ≤ 1) for 2,704 pixels, Mean Bias Error (MBE) is -0.002, Mean Absolute Error (MAE) is 0.026, Root Mean Square Error (RMSE) is 0.087, and Correlation Coefficient (CC) showed an accuracy of 0.981.