• Fire Science and Engineering
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• v.22 no.3
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• pp.234-238
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• 2008

Autoignition suppression of hydrogen/air premixed mixtures by $CF_3CHFCF_3(HFP)$ was investigated computationally. Numerical simulation was performed in isobaric and homogeneous system to evaluate the induction times. The detailed chemistry of 93 species and 817 reaction mechanism was introduced for hydrogen/air/HFP mixtures. The result of pure hydrogen/air mixture show that the resulting value of induction time depends relatively weakly on the definition used event though there are various criteria for defining the induction time such as the inflection of temperature, OH and $O_2$ concentrations generally. Also, the autoignition temperature of $H_2/air$ mixture is estimated to about 850K, which is corresponds to the literature value. In the case of HFP addition in $H_2/air$ mixture, the results shows that there are several inflection points of radical concentration, and hence it might be to use the temperature for defining ignition delay. When HFP is added to stoichiometric $H_2/air$ mixture, the effect of ignition delay is outstanding above 10% HFP concentration. As HFP concentration increases, both dilution and chemical effects contribute to delay the ignition. Also, the chemical effect on the ignition delay is more considerable with the higher HFP concentration.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.459-466
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• 2009

While Korean allows the same consonants at the coda of the preceding syllable and at the onset of the following syllable, English does not allow the geminate consonants in the same intervocalic position. Due to this difference between Korean and English, Korean learners of English tend to incorrectly produce geminate consonants for English geminate graphemes as in $su\underline{mm}er$. Based on this observation, a pilot study was designed to investigate how Korean learners of English perceive and produce English doubleton graphemes and singleton graphemes. Twenty Korean college students were asked to perform a forced-choice perception test as well as a production test for the 36 real word stimuli which consist of (near) minimal pairs of singleton and doubleton graphemes. The result showed that the accuracy rates for the words with singleton graphemes were higher than those for the words with doubleton graphemes both in perception and production because the subjects misperceived and misproduced the doubleton graphemes as geminates due to orthographic influence. In addition, the low error rates of the word with voiced stops were accounted for by Korean language transfer. Further, spectrographic analyses were provided where more production errors were witnessed in doubleton grapheme words than singleton grapheme words. Finally, pedagogical implications are provided.

• Fire Science and Engineering
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• v.24 no.5
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• pp.39-49
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• 2010

In order to find out the environment vulnerable to cigarette fire in which smoldering fire grows into flame fire, a cigarette combustion test and numerical analysis were performed using fallen leaves of P. densiflora and Q. variabilis. Tests were repeated five times on 2,304 conditions with four cases of fuel moisture content, six cases of velocity, two cases of cigaret location against direction of the wind, three cases of cigaret location against fallen leaves, two species of thickness of cigaret, two cases of slope conditions and two cases of fragileness of fallen leaves. Cigaret fire's flammability to the fallen leaves was monitored by analyzing heat transfer process using CFD (Computational Fluid Dynamic) under the most optimal condition through an ignition test on 2,304 conditions. The result of a cigaret fire ignition test for fallen leaves, found ignition in 197 conditions out of 2,304 conditions representing 8.6% while 13 conditions representing approximately 0.6% saw ignition across five repeated tests. The result of CFD analysis, the temperature of the bottom of fallen leaves was reached on self-ignition and pilot-ignition temperature.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2013.04a
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• pp.178-178
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• 2013

본 연구는 산림 내 주요 시설물 주변의 소나무, 리기다소나무, 해송, 잣나무, 굴참나무낙엽 5종 및 소나무광솔 등 주요 산불연료에 대하여 연소특성을 분석하고자 착화특성과 전파특성을 실험 한 결과, 발화온도의 경우 소나무낙엽($285^{\circ}C$)이 가장 낮게 측정되어 발화위험성이 가장 높은 것으로 나타났으며, 착화시간의 경우 굴참나무낙엽(발화온도 $305^{\circ}C$)이 3초로 가장 빠르게 나타났고, 화염유지시간의 경우 굴참나무낙엽이 가장 긴 것으로 나타났다. 또한, 전파특성 실험결과 소나무 광솔이 총열방출량 $72MJ/m_2$, 평균열방출율 $40KW/m_2$, 최대열방출량 $206KW/m_2$로 가장 높았으며, 두번째는 소나무낙엽으로 나타났다. 따라서, 실제 산불에서도 소나무광솔과 소나무낙엽이 화염전파에 더 영향을 줄 것으로 사료되었고, 또한, 연료별 탄소배출량 분석 결과 평균$CO_2$방출량이 가장 큰 수종은 리기다소나무낙엽(1.33kg/kg)이며, 평균CO방출량이 가장 큰 수종은 굴참나무 낙엽(0.075kg/kg)으로 나타났다.

• Fire Science and Engineering
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• v.23 no.4
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• pp.104-111
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• 2009

To research about the fire spread in Korean apartment house, a full-scale fire test in a four-story apartment was executed. The fire started at the third floor, and originated from overheated cooking oil in the kitchen. The apartment included all combustibles in general house. Through measuring temperature, measuring the concentration of oxygen and observing, we investigated the fire spread inside the apartment house. As a result, we got the data of the time needed for the initiation of fire, the time for fire to spread into each area in the house, and the time required until flash-over was seen. Also we grasped the understanding of the fire spread to the upper floor.

• Annual Conference on Human and Language Technology
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• 2022.10a
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• pp.521-525
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• 2022

사용자와 상호작용하는 대화시스템에서 사용자의 의도를 이해하기 위한 의도 분류는 중요한 역할을 한다. 하지만, 실제 대화시스템에서는 범위 내의 의도를 가진 발화 뿐만 아니라 범위 외의 의도를 가진 발화에 대한 인식도 중요하다. 본 논문에서는 기존에 사용되던 인코더 기반의 모델이 아닌 인코더-디코더 구조를 가지는 T5 모델을 활용하여 의도 분류 실험을 진행하였다. 또한, (K+1)-way 의도 탐지 방식이 아닌 Kway의 방식에 템퍼러처 스케일링 기법을 적용하여 범위 외 의도 발화 데이터 구축과 재학습이 필요 없는 확장성 있는 범위 외 의도 탐지 방법을 제안하였다. 범위 내 의도 분류 실험 결과 인코더-디코더 구조의 T5 모델이 인코더 구조의 모델에 비해 높은 성능을 보이며, 흔히 생성 태스크에서 활용되던 모델의 분류 태스크로의 확장 가능성을 확인하였다. 또한, 범위 외 의도 탐지 실험 결과에서는 T5 모델이 인코더 구조의 모델인 RoBERTa 보다 범위 외 탐지 재현율이 14.2%p 이상의 높은 성능을 기록하여 인코더-디코더 구조를 활용한 모델이 인코더 구조를 활용한 모델보다 범위 외 의도 탐지에 강건함을 확인하였다.

• Fire Science and Engineering
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• v.25 no.4
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• pp.28-34
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• 2011

For the safe handling of cyclohexanone, the explosion limits at $25^{\circ}C$ were investigated. The lower flash points and AITs (auto-ignition temperatures) by ignition time delay for cyclohexanone were experimented. By using the literatures data, the lower and upper explosion limits of cyclohexanone recommended 1.1 Vol.% ($100^{\circ}C$) and 9.4 Vol.%, respectively. The lower flash points of cyclohexanone were experimented $42{\sim}43^{\circ}C$ by using closed-cup tester and $49{\sim}51^{\circ}C$ by using open cup tester. This study measured relationship between the AITs and the ignition delay times by using ASTM E659-78 apparatus for cyclohexanone and the experimental AIT of cyclohexanone was $415^{\circ}C$.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.342-345
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• 2023

최근 자연어처리 연구 중 오픈 도메인 지식 기반 대화는 많은 관심을 받고 있다. 연구를 위해서는 오픈 도메인 환경을 갖추고 적절한 지식을 사용한 대화 데이터셋이 필요하다. 지금까지 오픈 도메인 환경을 갖춘 한국어 지식 기반 대화 데이터셋은 존재하지 않아 한국어가 아닌 데이터셋을 한국어로 기계번역하여 연구에 사용하였다. 이를 사용할 경우 두 가지 단점이 존재한다. 먼저 사용된 지식이 한국 문화에 익숙하지 않아 한국인이 쉽게 알 수 없는 대화 내용이 담겨있다. 그리고 번역체가 남아있어 대화가 자연스럽지 않다. 그래서 본 논문에서는 자연스러운 대화체와 대화 내용을 담기 위해 새로운 오픈 도메인 한국어 지식 기반 대화 데이터셋을 구축하였다. 오픈 도메인 환경 구축을 위해 위키백과와 나무위키의 지식을 사용하였고 사용자와 시스템의 발화로 이루어진 1,773개의 대화 세트를 구축하였다. 시스템 발화는 크게 지식을 사용한 발화, 사용자 질문에 대한 답을 주지 못한 발화, 그리고 지식이 포함되지 않은 발화 3가지로 구성된다. 이렇게 구축한 데이터셋을 통해 KE-T5와 Long-KE-T5를 사용하여 간단한 실험을 진행하였다.

• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.459-480
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• 2010

A dialogue system includes various morphological analyses for recognizing a user's intention from the user's utterances. However, a user can represent various intentions via emotional states in addition to morphological expressions. Thus, a user's emotion recognition can analyze a user's intention in various manners. This paper presents a new method to automatically recognize a user's emotion for a dialogue system. For general emotions, we define nine categories using a psychological approach. For an optimal feature set, we organize a combination of sentential, a priori, and context features. Then, we employ a support vector machine (SVM) that has been widely used in various learning tasks to automatically classify a user's emotions. The experiment results show that our method has a 62.8% F-measure, 15% higher than the reference system.

• Journal of the Society of Disaster Information
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• v.19 no.2
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• pp.292-304
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• 2023

Purpose: This study was conducted to obtain experimental data for the establishment of preventive measures against fire, as large and small fire accidents occur at production and storage sites of superabsorbent polymers developed for the convenience of daily life. Method: The sample container was fixed at 0.2m in both length and width, and was shaped into a rectangular cuboid with heights of 3cm, 5cm, 7cm, and 14cm to access an infinite flat plane. The sample container was fixed in the center of a thermostatic bath that was heated to a predetermined temperature according to a preset temperature control program. If the central temperature of the sample rose more than 20℃ above the set temperature, it was determined to have 'ignited', and if it remained similar to the set temperature, it was determined to have 'unignited'. Result: The critical autoignition temperature was calculated to be 212.5℃ for a sample container with a height of 3cm, 202.5℃ for 5cm, 192.5℃ for 7cm, and 177.5℃ for 14cm. The ignition induction time to reach the highest temperature was approximately 42hours for 3cm, 91hours for 5cm, 151hours for 7cm, and 300hours for 14cm. Conclusion:① As the size of the sample container increased, the autoignition temperature decreased and the ignition induction time to reach the highest temperature increased. ② The apparent activation energy was calculated to be 39.30kcal/mol, with a correlation of 99.5%.