• Fire Science and Engineering
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• v.28 no.6
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• pp.52-57
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• 2014

The present study suggests the fundamental method for the prediction time of the fire origin by analyzing the combustion phenomenon of inflammable material in the building structure. The heat release rate (HRR) with time variant is evaluated for the interphone as a inflammable material, which is opted from the fire incidents in the stairwell. the fire dynamics simulator (FDS ver. 6.1) is applied in order to analyze the difference of the smoke inflow time to the downstair from the fire event area with various fire pattern. The results show that the maximum inflow time difference for the case of the interphone made from ABS materials is about 4.93 times with the input conditions of heat flux values and the environment in the FDS for the fixed stairwell which composed of total volume $291.3m^3$, floorage $23.3m^2$ and the height of each floor 2.5 m. This research can be practical information for the application method of simulation scheme with experimental data to the fire Identification.

• Nuclear Engineering and Technology
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• v.49 no.2
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• pp.342-348
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• 2017

Precursor analysis is widely used in the nuclear industry to judge the significance of events relevant to safety. However, in case of events that may damage equipment through effects that are not ordinary functional dependencies, the analysis may not always fully appreciate the potential for further evolution of the event. For fires, which are one class of such events, this paper discusses modelling challenges that need to be overcome when performing a probabilistic precursor analysis. The events used to analyze are selected from the Organisation for Economic Cooperation and Development (OECD) Fire Incidents Records Exchange (FIRE) Database.

• Journal of Korean Society for Geospatial Information Science
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• v.8 no.1 s.15
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• pp.97-103
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• 2000

The main purpose of 1-1-9 Caller Location Information System is to identify and display the precise location of emergency incidents such as natural or man - made fires, medical emergencies and accidents. The state - of- the - art technologies such as Am (Automatic Number Identification), GIS(Geographical Information System) and GPS (Global Positioning System) were applied and integrated in the system for efficient and effective location identification. It displays a radius of 25M, 50M and 100M on the map after location identification. The system can also provide the shortest path to an incident location from a fire station or a fire engine. In case of a fire breakout in or near a building, the attribute information of the building, called a building attribute card, is displayed along with the map location. The system then matches the information with the fire situation and sends an alert to a responsible fire station by phone or fax in order to help promptly react to the problem. An attribute card includes the critical information of a premise such as building's location, number of stories, floor plans, capacity, construction history, indoor fire detection and Prevention facilities, etc.

• Fire Science and Engineering
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• v.25 no.1
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• pp.7-12
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• 2011

As recent buildings are getting more high-rise and larger, steel structures, not a reinforced concrete structure, for columns and beams among the main structural members in a building are being widely used. Steels used for the main members of a building are constructed with a fire-resistive structure by applying them with fire-resistive coatings. The introduction of a simple test method that can verify the performance of fire-resistive material constructed on a site without conducting a fire-resistant test(real scale fire test) is needed and this study derived a site analysis method possible to make a rapid and scientific analysis through the analysis of components (instrumental analysis) concerning tire-resistive materials. the possibility of application of it in analyzing congruence over site construction materials by recognizing it as a standard material after securing an inherent fingerprint area of tire-resistive materials of which performance was verified in the concrete through thermal analysis was proved through experiments. This research result can be minimize of casualties, who is harmed to building collapse according to structures fire.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 1997.11a
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• pp.526-533
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• 1997

Reliability of fire protection systems is often discussed, written about, and even put into codes and standards. However, reliability is seldom considered for the fire protection system as a whole. Why does this happen and why should the designer consider the system as a whole\ulcorner Existing codes and standards incorporate the concept of reliability usually In the form of key component redundancy for some parts of a system. The "Fire Safety Concepts Tree" presented in the National Fire Protection Association Guide 550, Guide to the Fire Safety Concepts Tree, provides a starting point for considering the performance of a water based fire suppression system. Considering fire protection objectives for water based fire suppression systems, means of evaluating system reliability can be developed. This development requires identification of system components that are significant to the overall system reliability.

• The Journal of Korean Medicine
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• v.40 no.4
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• pp.49-60
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• 2019

Objectives: To develop a standardized diagnostic pattern identification equation for stroke patients, our group conducted a study to derive the predictive logistic equations. However, the sample size was relatively small. In the current study, we aimed to derive new predictive logistic equations for each diagnostic pattern using an expanded number of subjects. Methods: This study was a hospital-based multi-center trial recruited stroke patients within 30 days of symptom onset. Patients' general information, and the variables related to diagnostic pattern identification were measured. The diagnostic pattern of each patient was identified independently by two Korean Medicine Doctors. To derive a predictive model for pattern identification, binary logistic regression analysis was applied. Results: Among the 1,251 patients, 385 patients (30.8%) had the Fire Heat Pattern, 460 patients (36.8%) the Phlegm Dampness Pattern, 212 patients (16.9%) the Qi Deficiency Pattern, and 194 patients (15.5%) the Yin Deficiency Pattern. After the regression analysis, the predictive logistic equations for each pattern were determined. Conclusion: The predictive equations for Fire Heat, Phlegm Dampness, Qi Deficiency, and Yin Deficiency would be useful to determine individual stroke patients' pattern identification in the clinical setting. However, further studies using objective measurements are necessary to validate these data.

• The Journal of Internal Korean Medicine
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• v.30 no.4
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• pp.772-779
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• 2009

Object : In the present study, we investigated the obesity and blood parameters between Qi-deficiency and Fire/Heat pattern identification/syndrome differentiation (PI/SD) in acute stroke patients. Materials and Methods : A total of 391 stroke patients within 7 days after onset were consecutively recruited from 12 hospitals across South Korea from Nov. 1st, 2006 to Jun. 31st, 2009. They were diagnosed as Fire/Heat or Qi-deficiency among five PI/SD subtypes by two independent stroke experts. We investigated the differences of obesity and blood characteristics between Fire/Heat and Qi-deficiency by statistical analyses. Results : In male subjects, obesity was significantly associated with Fire/Heat PI/SD. The averaged mean BMI ($24.13kg/m^2$) and waist circumference(89.34cm) of the Fire/Heat group were higher than those of the Qi-deficiency group ($22.60kg/m^2$ and 83.43 cm, respectively). The number of obese patients was larger in the Fire/Heat group than in the Qi-deficiency group (p = 0.001). Hyperlipidemia was also related with Fire/Heat. However, obesity was not associated with PI/SD in female subjects where the number of hyperlipidemic patients was higher in the Qi-deficiency group. Among blood parameters, the levels of triglycerides and fasting blood sugar were higher in the Fire/Heat group compared with the Qi-deficiency group in male subjects. However, total cholesterol of the Qi-deficiency group was higher than in the Fire/Heat group among female subjects. Conclusion : This study shows that obesity and hyperlipidemia are significantly difference between Qi-deficiency and Fire/Heat. We suggests that PI/SD may be associated with clinical characteristics and large population study between PI/SD and clinical characteristics including blood parameters are needed.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.169-172
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• 2008

The purpose of this paper is to summarize characteristics of fire growth stages, combustion proceeding, human behavior factors against fire, fire active protections, fire alarms in order to perform public safety and protection, personnel property protection, with identification of economic analysis aspects based on respective stages classified as fire generation- fire growth- flashover- fire extinction, which is differ from previous studies that based on distinct concepts such as fire stages, escapes, building construction, fire sensing.

• Journal of Physiology & Pathology in Korean Medicine
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• v.27 no.3
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• pp.318-326
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• 2013

This study was performed to investigate relationship between each pattern identification and heart rate variability(HRV) indices. We analyzed 201 subjects who participated in stroke check up. We classified the subjects into four groups of pattern identifications; Fire-Heat pattern(FH), Yin Deficiency pattern(YD), Qi Deficiency pattern(QD) and Dampness-Phlegm pattern(DP) that based on Korean Standard Pattern Identifications for Stroke-III. We investigated significance of HRV indices between each pattern identification and heart rate variability indices. The total number of the subject group was 201, whereas the groups were divided into four groups; Fire-Heat pattern group(n=47), Yin Deficiency pattern(n=65), Qi Deficiency pattern(n=33), and Dampness-Phlegm pattern(n=56). SDNN, TP, Ln(TP), VLF, Ln(VLF), LF, Ln(LF) and HF were significantly higher in the Fire-Heat pattern(FH) group than other groups of pattern identifications, but there was no differences among the Yin Deficiency group, the Qi Deficiency group and the Dampness-Phlegm group. Ln(HF), LF(NORM), HF(NORM) and LF/HF ratio were significantly higher in the Fire-Heat group than in the Qi Deficiency group. However, there was no significant differences among the Dampness-Phlegm group, the Yin Deficiency group, Fire-Heat group and the Qi Deficiency group. Through this study, we found out some significant relationships between each pattern identification group and HRV indices. The result of this study demonstrates that sympathetic nerve was more active in the Fire-Heat group than other groups.

• Journal of Physiology & Pathology in Korean Medicine
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• v.29 no.3
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• pp.230-239
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• 2015

This study was performed to find a relationship between each pattern identification and vascular status using the second derivative of photoplethysmogram waveform(SDPTG) indices. We analyzed 200 subjects who participated in stroke preventive examination. We classified the subjects into four groups of pattern identifications; Fire-Heat pattern(火熱證; FH), Yin Deficiency pattern(陰虛證; YD), Qi Deficiency pattern(氣虛證; QD) and Dampness-Phlegm pattern(濕痰證; DP) that based on Korean Standard Pattern Identifications for Stroke-Ⅲ. We studied a relationship between each pattern identification and the SDPTG. The total number of the subject group was 200, whereas the groups were divided into four groups; Fire-Heat pattern group(n=49), Yin Deficiency pattern(n=57), Qi Deficiency pattern(n=45), and Dampness-Phlegm pattern(n=49). b/a ratio was related with age and systolic blood pressure, c/a ratio was associated with age, systolic blood pressure, fasting blood sugar and Total cholesterol, d/a ratio was affected with age, diastolic blood pressure, and hypertension, e/a ratio was related with age and sex and SDPTG AI was associated with age. c/a ratio and d/a ratio were significantly higher in the Fire-Heat group than in the Qi Deficiency group. SDPTG AI was significantly higher in the Qi Deficiency group than in the Fire-Heat group. The Qi Deficiency group was significantly older than the Fire-Heat group and the number of hypertension patients was significantly more in the Fire-Heat group than in the Qi Deficiency group. Through this study, we found out some significant relationships between each pattern identification group and the SDPTG indices.