• Fire Protection Technology
• /
• s.15
• /
• pp.22-27
• /
• 1993

The classification of hazardous area is a method of analysing and classifying the environment where explosive gas or vapour atmosphere may be expected to be present. The object of area classification is to enable the proper selection and installation of electical apparatus and other equipments. This report is intended to serve a general reference about the classification procedure of hazardous area with explanations of related Korean Standard.

• Korean Journal of Remote Sensing
• /
• v.35 no.6_4
• /
• pp.1341-1350
• /
• 2019

This research deals with algorithm for forest fire severity classification using multi-temporal KOMPSAT-3A image to mapping forest fire areas. The recent satellite of the KOMPSAT series, KOMPSAT-3A, demonstrates high resolution and multi-spectral imagery with infrared and high resolution electro-optical bands. However, there is a lack of research to classify forest fire severity using KOMPSAT-3A. Therefore, the purpose of this study is to analyze forest fire severity using KOMPSAT-3A images. In addition, this research used pre-fire and post-fire Sentinel-2 with differenced Normalized Burn Ratio (dNBR) to taking for burn severity distribution map. To test the effectiveness of the proposed procedure on April 4, 2019, Gangneung wildfires were considered as a case study. This research used the probability density function for the classification of forest fire damage severity based on R software, a free software environment of statistical computing and graphics. The burn severities were estimated by changing NDVI before and after forest fire. Furthermore, standard deviation of probability density function was used to calculate the size of each class interval. A total of five distribution of forest fire severity were effectively classified.

• Journal of the Korean Society of Safety
• /
• v.24 no.6
• /
• pp.7-12
• /
• 2009

This study focuses on the classification of fire equipments for certification based on the risk evaluation. In general, known statistics on fire equipment-related accidents needs to be used for risk evaluation. When statistics is not available, however, expected frequency and severity of accident for individual equipment can be taken into account in evaluating the related risks. Based on the level of inherent risks, each equipment is then classified into three categories for certification. For equipments that risk evaluation is not possible, characteristics of those products such as reliability are considered for classification. Once classified, each equipment is assigned an appropriate certification module.

• Journal of the Korean Society of Safety
• /
• v.20 no.3 s.71
• /
• pp.112-119
• /
• 2005

In road tunnel, in order to prevents an accident and minimize the damage of an accident in the case of fire, safety facilities and equipments are integral parts. The type and amount of safety facilities are based on tunnel type and length, traffic flow rate, etc. Therefore many countries use a tunnel classification system that categories tunnel into groups, and specifies the necessary emergency equipment for each group. In this study, for the purpose of classifying tunnel based on tunnel ist investigated the domestic and foreign standards and regulations for safety of road tunnel. As a results, we suggest the method of classification of tunnel by traffic performance, tunnel grade, the volume of traffic, fraction of HGV, rules or regulations for transports of dangerous good through tunnel.

• Fire Science and Engineering
• /
• v.23 no.4
• /
• pp.112-119
• /
• 2009

Building use classification is classified the building types according to the similar structure, the goal of the use, and its shape. The important reason of building use classification is that building restrictions are applied according to building use classifications. But there are a lot of confusion because the building use classification is regulated not only by the Building Act but also by the several individual Act. Particularly in the large-scaled, high-raised and complex building construction, it is very important to remain the consistency of the building use classification between the Building Act and the Fire-Fighting System Act for safety of occupants. So the purpose of this study is to suggests the improve direction of the building use classifications through the comparative analysis of the Building Act and the Fire-Fighting System Act.

• Journal of the Korean Institute of Gas
• /
• v.24 no.1
• /
• pp.56-65
• /
• 2020

Forecasting of coming fire accidents is quite a challenging problem cause normally fire accidents occur for a variety of reasons and seem randomness. However, if fire accidents that cause critical losses can be forecasted, it can expect to minimize losses through preemptive action. Classifications using machine learning were determined as appropriate classification criteria for the forecasting cause it classified as a constant damage scale and proportion. In addition, the analysis of the periodicity of a critical fire accident showed a certain pattern, but showed a high deviation. So it seems possible to forecast critical fire accidents using advanced prediction techniques rather than simple prediction techniques.

• Analytical Science and Technology
• /
• v.34 no.5
• /
• pp.231-239
• /
• 2021

Detection of fire accelerants from fire residues is critical to determine whether the case was arson or accidental fire. However, to develop a standardized model for determining the presence or absence of fire accelerants was not easy because of high temperature which cause disappearance or combustion of components of fire accelerants. In this study, logistic regression, random forest, and support vector machine models were trained and evaluated from a total of 728 GC-MS analysis data obtained from actual fire residues. Mean classification accuracies of the three models were 63 %, 81 %, and 84 %, respectively, and in particular, mean AU-PR values of the three models were evaluated as 0.68, 0.86, and 0.86, respectively, showing fine performances of random forest and support vector machine models.

• Fire Protection Technology
• /
• s.52
• /
• pp.12-18
• /
• 2012

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
• /
• 2000.11a
• /
• pp.25-33
• /
• 2000

• Fire Science and Engineering
• /
• v.15 no.3
• /
• pp.49-54
• /
• 2001

Recently, intentional arsons for exploitation and wildland fire caused by abnormal change of weather are increasing as well as the damage scale due to such fire in the world. The number of such big wildland fire is also increasing in Korea these days. Fire prevention activity can be said as more important than fire putting-out activity after a fire occurrence for the most effective way to cope with wildland fire, and the research on wildland fire prevention system is what we need to do urgently, In this study I examined and analyzed the experiments and data about the factors influencing wildland fire and stated the dangerousness of each factor for all of the 6 factors and set up the general dangerousness rating applying each factor's contribution to the dangerousness.