• The Journal of the Convergence on Culture Technology
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• v.7 no.1
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• pp.439-445
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• 2021

This study aims to investigate the distance of culture and life by 'The Relation-Approach.' For this, We identified the path and mechanism of importance of culture and life through the concept of respective distance and closed distance. We found that the structure of closed culture and closed life makes the distance of culture and life dangerous, which is operated as the factor of making dangerous culture and life. This fact shows that respectiveness operates in the process of converting respective distance to closed distance. Also, It was confirmed that the problem of solving dangerous distance can be established in the condition that mutual distance of culture and life can have the possibility of accomplishment. But We found the fact that the distance which is regarded as the true mutual distance having the consistence of the open condition-accomplishment in culture and life is actually operated by making the dangerous path and mechanism. In this point, We suggested the concept of 'The Multi-tier Dangerousness,' not 'The Single-tier Dangerousness.' We also found the importance of dangerousness of perception with a view to resolving dangerousness operating in culture and life. The fact that 'dangerousness of perception' produced 'dangerousness of phenomenon' was identified. Further more, We suggested that intrinsic perception is needed so as to healthy culture and life. And Open perception was emphasized to go to mutual distance beyond respective distance.

• Fire Science and Engineering
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• v.24 no.2
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• pp.21-30
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• 2010

We have test chemical resistance and flame retardant properties of chemical protective clothing Fabrics by the ASTM and ISO standard methods. The flame retardant test results show that polyethylene is poor in flame resistance but fluoroelastomer add to decabrom is excellent in flame resistance. Especially, nowadays heat protective clothing for firefighters, which is aluminized film layers laminated to aramid fabric, show the excellent flame resistance. However, the chemical resistance test results show that aluminium is high corrosive in 4M NaOH solution alone. The problem of corrosion can be overcome by employing multiple barrier film. Also, based on the result of flame retardant test, duel skin of polymer barrier film add to aluminum film and single skin of fluorinated rubber with flame retardant materials seems to be fit for the chemical protective clothing. Also the thermal protection and heat transfer test results show that TPP and HTI is increased assured that the continued study on fire risk assessment & chemical resistance of chemical protective clothing fabrics will contribute to the upgrade the performances of chemical protective clothing fabrics.

• Elastomers and Composites
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• v.46 no.2
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• pp.94-101
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• 2011

The conventional radiation barriers may show some disadvantages such as heavy weight and possibility of poisoning human bodies because they are composed of lead plates or resin plates containing large amounts of lead powders. Another disadvantage may be direct penetration of radiation through small pin holes. In this article, technologies of multi-layered polymer barriers against radiation, which has been extensively focused recently, will be introduced. A new concept of radiation protection as well as improving endurance with employing nano-layered inorganic particles is introduced.

• Journal of the Korean Society of Radiology
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• v.14 no.2
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• pp.149-155
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• 2020

Most of radiation protection clothing is made of lead with excellent radiation shielding because it has excellent process ability and economic efficiency and has a high atomic number. However, lead is classified as a hazardous heavy metal, and there is a risk of lead poisoning. Recently, research to replace lead has been actively conducted. In this study, a research on a shielding sheet with improved physical properties while maintaining the radiation shielding ability equivalent to that of conventional materials by mixing two materials that are harmless to the human body, such as BaSO₄ and Bi₂O₃, and a silicone material binder Was performed. For comparison evaluation with the existing lead shielding sheet, the shielding rate was evaluated using a 40 degree shielding sheet having the highest porosity. As a result, it was analyzed that the shielding rate was superior to 9 % or more at the same thickness. In addition, as a result of studies to improve the physical properties of the shielding sheet, it was analyzed that the shielding sheet mixed with BaSO₄/nylon/Bi₂O₃ was the best.

• Journal of Korea Water Resources Association
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• v.38 no.7 s.156
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• pp.575-584
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• 2005

The judgement model to warn of possible pollution accident is constructed by multi-perceptron, multi layer neural network, neuro-fuzzy and it is trained stability, notice, and warming situation due to developed standard axis. The water quality forecasting model is linked to the runoff forecasting model, and joined with the judgement model to warn of possible pollution accident, which completes the artificial intelligence warning system. And GUI (Graphic User Interface) has been designed for that system. GUI screens, in order of process, are main page, data edit, discharge forecasting, water quality forecasting, warming system. The application capability of the system was estimated by the pollution accident scenario. Estimation results verify that the artificial intelligence warning system can be a reasonable judgement of the noized water pollution data.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2011.11a
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• pp.163-166
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• 2011

본 연구는 Zone Model을 활용하여 장대도로터널의 화재성상 예측방법의 고찰을 목적으로 1/5 Scale 모형실험 및 MLZSUZUKI 결과 분석과 CFD와 MLZ의 비교 분석을 실시하였다. Modeling한 모형터널의 해석시간이 MLZ 1분, FDS 약 6시간으로 CFD에 비하여 360배의 시간 감소와 다층으로 구분하여 구간의 온도변화 및 환기풍에 의한 열기류의 움직임 등의 상황이 해석됨으로 향후 MLZ을 활용하여 터널화재의 위험성 예측에 용이할 것으로 판단된다.

• Journal of Intelligence and Information Systems
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• v.2 no.1
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• pp.109-120
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• 1996

TV 부라운관 유리를 생산하기 위한 용해 공정은 원료의 투입에서부터 유리물이 생성될 때 까지 고온의 화확적 작용을 거친다. 유리몰을 생성하기 위한 여러 가지 조건중에서 용해로 내부에서의 유리몰의 온도 변화 및 이에 따른 제반 공정변수의 조정 설정치(Set-up)는 불량률에 밀접한 영향을 미친다. 그러나 고온의 밀폐된 환경에서 반응이 진행되므로 공정의 운전 요원들은 그들의 경험을 바탕으로 용해로의 운전상태를 파악하고 운전해 나간다. 본 연구에서는 이러한 경험적 판단에 따른 위험성을 가능한 한 줄이고 용해로의 안정적인 운영을 통하여 불량률을 감소시키기 위하여 용해로 최적 Set-up 예측 시스템을 개발하였다. 이 시스템은 일정 기간 동안의 용해로서 운전 상태와 불량률간의 관계를 신경망 기법을 이용하여 학습한 후에, 이를 이용하여 불량률을 유지하기 위한 Set-up 값을 예측하여 준다.

• Korean Journal of Social Welfare
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• v.68 no.3
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• pp.29-50
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• 2016

This study examined the determinants of housing affordability using the 2014 fact-finding survey of housing. This study identified the effects of characters of districts as well as the effects of characters of family and housing, taking advantage of HGLM(Hierarchical General Linear Model). The results of this study showed that male householder, higher education level, the monthly housing, higher satisfaction of environment of housing are the factors that increased the odds of living at unaffordable housing, but higher income, public transfer recipient, living at sub-standard housing, the Jensei housing are the factors that decreased the odds of living at unaffordable housing. And the higher housing price, the higher rent of the districts increased significantly the odds of living at unaffordable housing, but the higher rate of public housing of the districts decreased the odds of living at unaffordable housing. This study provides the basis that the price of housing and rent should be controled and the policy of public housing should be expanded for housing welfare.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.720-729
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• 2021

The purpose of this study was to measure repeated the process of non-suicidal self-injury individuals change in everyday life through the Ecological Momentary Assessment(EMA) daily diary. The study subjects of were 17 adults aged 19 to 29, accessed a link sent by text message on a cell phone and recorded a diary of the day's affects, interpersonal conflicts, self-injury thoughts, and behaviors once a day for two weeks. Using a total of 238 reported entries, the contextual factors of NSSI were examined, and the effects of affects and interpersonal conflicts on NSSI analyzed through a multi-level model. As a result, the negative affects of that day have a significant relation with within subject NSSI behavior and positive affects have a significant relation between subject NSSI behavior. These findings means that overall individuals with low positive affects have a higher risk of self-injury behavior compared to those with higher levles of positive emotions, and an increase in negative emotions on that day within an individual increases the risk of self-injury behavior on that day. In other words, it implies that it is important to manage negative emotions and strengthen overall positive affects for that day in the intervention of emotion-regulation of experienced self-injury individuals. It is meaningful that this study explored NSSI risk factors experienced in daily life through the short-term longitudinal study.

• Proceedings of the Korea Database Society Conference
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• 1999.06a
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• pp.415-421
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• 1999

Altman의 연구(1965, 1977)나 Beaver의 연구(1986)와 같은 전통적 예측모형은 분석자의 판단에 따른 예측도가 높은 재무비율을 선정하여 다변량판별분석(MDA： multiple discriminant analysis), 로지스틱회귀분석 등과 같은 통계기법을 주로 이용해 왔으나 1980년 후반부터 인공지능 기법인 귀납적 학습방법, 인공신경망모형, 유전모형 둥이 부실기업예측에 응용되기 시작했다. 최근 연구에서는 인공신경망을 활용한 변수 및 모형개발에 관한 보고가 있다. 그러나 지금까지의 연구가 주로 기업의 재무적 비율지표를 고려한 모형에 치중되었으며 정성적 자료인 비재무지표에 대한 검증과 선정이 자의적으로 이루어져온 경향이었다. 또한 너무 많은 입력변수를 사용할 경우 다중공선성 문제를 유발시킬 위험을 내포하고 있다. 본 연구에서는 부실기업예측모형을 수립하기 위하여 정량적 요인인 재무적 지표변수와 정성적요인인 비재무적 지표변수를 모두 고려하였다. 재무적 지표변수는 상관분석 및 요인분석들을 통하여 유의한 변수들을 도출하였으며 비재무적 지표변수는 조직생태학내에서의 조직군내 조직사멸과 관련된 생태적 과정에 대한 요인들 중 조직군 내적요인으로 조직의 연령, 조직의 규모, 조직의 산업밀도를 도출하여 4개의 실험집단으로 분류하여 비재무적 지표변수를 보완하였다. 인공신경망은 다층퍼셉트론(multi-layer perceptrons)과 역방향 학습(back-propagation )알고리듬으로 입력변수와 출력변수, 그리고 하나의 은닉층을 가지는 3층 퍼셉트론(three layer perceptron)을 사용하였으며 은닉충의 노드(node)수는 3개를 사용하였다. 입력변수로 안정성, 활동성, 수익성, 성장성을 나타내는 재무적 지표변수와 조직규모, 조직연령, 그 조직이 속한 산업의 밀도를 비재무적 지표변수로 산정하여 로지스틱회귀 분석과 인공신경망 기법으로 검증하였다. 로지스틱회귀분석 결과에서는 재무적 지표변수 모형의 전체적 예측적중률이 87.50%인 반면에 재무/비재무적 지표모형은 90.18%로서 비재무적 지표변수 사용에 대한 개선의 효과가 나타났다. 표본기업들을 훈련과 시험용으로 구분하여 분석한 결과는 전체적으로 재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적 중률을 나타내었다.