• Journal of Ginseng Research
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• 제43권2호
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• pp.172-178
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• 2019

Inflammation is an innate immune response that protects the body from pathogens, toxins, and other dangers and is initiated by recognizing pathogen-associated molecular patterns or danger-associated molecular patterns by pattern-recognition receptors expressing on or in immune cells. Intracellular pattern-recognition receptors, including nucleotide-binding oligomerization domain-like receptors (NLRs), absent in melanoma 2, and cysteine aspartate-specific protease (caspase)-4/5/11 recognize various pathogen-associated molecular patterns and danger-associated molecular patterns and assemble protein complexes called "inflammasomes." These complexes induce inflammatory responses by activating a downstream effector, caspase-1, leading to gasdermin D-mediated pyroptosis and the secretion of proinflammatory cytokines, such as interleukin $(IL)-1{\beta}$ and IL-18. Ginsenosides are natural steroid glycosides and triterpene saponins found exclusively in the plant genus Panax. Various ginsenosides have been identified, and their abilities to regulate inflammatory responses have been evaluated. These studies have suggested a link between ginsenosides and inflammasome activation in inflammatory responses. Some types of ginsenosides, including Rh1, Rg3, Rb1, compound K, chikusetsu saponin IVa, Rg5, and Rg1, have been clearly demonstrated to inhibit inflammatory responses by suppressing the activation of various inflammasomes, including the NLRP3, NLRP1, and absent in melanoma 2 inflammasomes. Ginsenosides have also been shown to inhibit caspase-1 and to decrease the expression of $IL-1{\beta}$ and IL-18. Given this body of evidence, the functional relationship between ginsenosides and inflammasome activation provides new insight into the understanding of the molecular mechanisms of ginsenoside-mediated antiinflammatory actions. This relationship also has applications regarding the development of antiinflammatory remedies by ginsenoside-mediated targeting of inflammasomes, which could be used to prevent and treat inflammatory diseases.

• 한국농림기상학회지
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• 제6권4호
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• pp.242-249
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• 2004

This study was conducted to develop a forest fire occurrence model using meteorological characteristics for the practical purpose of forecasting forest fire danger. Forest fire in South Korea is highly influenced by humidity, wind speed, and temperature. To effectively forecast forest fire occurrence, we need to develop a forest fire danger rating model using weather factors associated with forest fire. Forest fore occurrence patterns were investigated statistically to develop a forest fire danger rating index using time series weather data sets collected from 8 meteorological observation centers. The data sets were for 5 years from 1997 through 2001. Development of the forest fire occurrence probability model used a logistic regression function with forest fire occurrence data and meteorological variables. An eight-province probability model by was developed. The meteorological variables that emerged as affective to forest fire occurrence are effective humidity, wind speed, and temperature. A forest fire occurrence danger rating index of through 10 was developed as a function of daily weather index (DWI).

• 대기
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• 제23권2호
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• pp.131-141
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• 2013

Many studies have related the recent variations of wildfire regime such as the increasing number of occurrances, their patterns and timing changes, and the severity of their extreme cases with global warming. However, there are only a few numbers of wildfire studies to assess how the future wildfire regime will change in the interactions between land and atmosphere with climate change especially over East Asia. This study was performed to estimate the future changing aspect of wildfire danger with global warming, using Haines Index (HI). Calculated from atmospheric instability and dryness, HI is the potential of an existing fire to become a dangerous wildfire. Using the Weather Research and Forecasting (WRF) model, two separated 5-year simulations of current (1995~1999) and far future (2095~2099) were performed and analyzed. Community Climate System Model 3 (CCSM3) model outputs were utilized for the model inputs for the past and future over East Asia; future prediction was driven under the IPCC A1B scenario. The results indicate changes of the wildfire danger regime, showing overall decreasing the wildfire danger in the future but intensified regional deviations between north and south. The overall changes of the wildfire regime seems to stem from atmospheric dryness which is sensitive to soil moisture variation. In some locations, the future wildfire danger overall decreases in summer but increases in winter or fall when the actual fire occurrence are generally peaked especially in South China.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년 학술대회 논문집 정보 및 제어부문
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• pp.449-451
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• 2006

With the increasing danger of personal information being exposed, a technique to protect personal information by identifying a non-user in case it is exposed. A study to construct a neural network recognizer for developing a economical and effective user protecting system. For this, time variables regarding user typing patterns from a pattern extraction device. With the variations in the standard deviation for the collected time variables, non-user patterns were generated. The recognition performance increased with the increase in the standard deviation and a higher recognition was achieved at 2.5. Also, five types of training data were generated and the recognition performance was examined as a function of the number of non-user patterns. With the increase in non-suer patterns, the recognition error quantified in the root mean square error (RMSE) was reduced. The smallest RMSE was obtained at the type 5 and 90 non-user patterns. In overall, the type 3 model yielded the highest recognition accuracy Particularly, a perfect recognition of 100% was achieved at 45 non-user patterns.

• 한국컴퓨터정보학회논문지
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• 제29권1호
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• pp.151-161
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• 2024

이 논문에서는 제조공장 사업장 현장 내 각 공정을 촬영한 영상을 인공지능(AI)으로 분석하여 위험·유해 요인을 파악할 수 있도록 작업장 위험지도(Danger Map)를 개발하고 이 Danger Map 에서 도출된 빈도·강도에 기반한 위험도와 안전도를 실제 현장상황에 맞추어 자동으로 도출하여 유사 제조 업종에 적용할 수 있는 시스템을 제시히였다. 특히, 사업장의 안전도(위험도)를 엑셀 등 수동으로 평가하던 종래의 평가방식에서 영상으로부터 취득된 유해·위험 요인별 위험성 수준을 자동으로 산정 평가하여 시스템에 의한 안전 확보와 안전도(위험도)를 계산함으로써 이에 따라 기업에서 적절한 활동 및 조치를 마련할 수 있도록 하였다. 안전도(위험도) 산출 및 평가 자동화를 위해 '하인리히의 법칙(Heinrich's law)'을 모델로 하였으며, 위험한 행동 패턴에 대해 5X4점 평가척도를 계산하였다. 이 시스템을 실증적용하기 위해 금속주물주조공장에 적용하였으며 매월 안전도(위험도) 계산에 추가되는 시간적 비용 및 노동력을 2명 절감할 수 있었다.

• 대한한방소아과학회지
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• 제22권2호
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• pp.51-67
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• 2008

Objectives : The purpose of this study is to research the internet addiction and the Weak children. Methods : Total 400 of 5th and 6th grade JeonJu Elementary student children consisted with 203 men, 197 women were chosen for this study. They answered questionnaires of the internet addiction and the Weak children on June 12th, 2008. Results : 75% were general internet user, latent danger user group was 14.7%, high danger user group was 10.3%. The mean of the general weak children was the highest and then the group of children who had Heart, the Lung, the Liver, the Spleen, the Kidney problems were followed. These showed the relationships with living styles, especially eating patterns and parents' concerns about children's internet use. The more serious internet addiction was, the more the weaker children symptoms were answered significantly. The heart weak children symptoms were found in latent-high danger internet user group. Conclusions : In conclusion, the physical and psychological symptoms of the internet addiction children were resulted by the disturbance of Qi and the pathological change of internal organs.

• 한국콘텐츠학회논문지
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• 제6권8호
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• pp.57-67
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• 2006

애니메이션은 제작에 있어 수용자의 지각에 반응하는 의도된 프레임 수(명멸현상)를 이용함으로써 움직임의 효과를 극대화 할 수 있다. 그러나 특정의 효과(경찰차의 경광등이나, 신호등의 점멸을 확대한 장면에서 빠른 점멸을 의도적으로 계획한 프레임 수)나 지나친 시각적 자극을 주기 위하여 배색에 있어서 채도의 대비를 높이는 경우는 매우 위험한 상황을 초래할 수도 있다. 일본의 '포켓몬스터' 방영에서 일어난 피해로 문제의 심각성이 대두된 명멸현상의 위험성은 의학용어로 '빛과민성 발작증세'로 정의되고 있다. 애니메이션의 제작에 있어서 컬러의 품질관리도 중요하지만 색채가 미치는 심리적인 요인을 분석한 컬러설정이라든가, 영상효과에 있어서 섬광과 패턴의 연속적인 점멸이 미치는 위험성을 제작단계에서 체크할 필요가 있음을 시사하고 있다. 연구자는 일본에서 사용 중인 영상 애니메이션 등의 제작기법에 관한 가이드라인을 포함, 국외의 관련규정들을 종합 검토하고 피험자를 대상으로 한 실험과 비교하여 명멸현상의 위험성에 대한 해결방안을 마련하였다.

• 융합보안논문지
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• 제18권1호
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• pp.143-155
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• 2018

본 연구는 경호원의 실패요인을 규명하기 위하여 실패귀인을 추출하고, 사례통합분석을 통하여 위해패턴 요인을 도출하였다. 실패귀인은 완전 개방형 질문지(8명)를 시작으로 반구조화 질문지(17명), 폐쇄형 설문지(179명)를 제작하여 SPSS 21.0, AMOS 21.O 통계패키지를 통하여 자료를 처리하였다. 실패귀인과 실패사례 간의 인과관계(경호 실패패턴 요인)를 분석한 결과, 박정희 암살사건에서 불성실(2), 부정적 마인드(1), 업무능력부족(1), 경험부족(2), 조직의 비체계성(2), 사명의식결여(1), 개인주의(1), 업무공유실패(2), 사명의식결여(2) 등 14개의 실패 패턴이 발견되었고, 아웅산 묘소 폭발사건은 불성실(1), 부정적 마인드(1), 업무능력부족(2), 경험부족(2), 개인주의(1), 업무공유실패(1) 등 8개의 실패패턴이 있는 것으로 조사되었으며, 육영수여사 저격사건의 경우, 불성실(2), 부정적 마인드(1), 경험부족(2), 사명의식결여(2), 업무공유실패(1) 등 8개 실패패턴이 있는 것으로 조사 되었다. 3개 사례와 실패귀인 요인간의 관계에서 총 30건의 실패패턴이 발견되었다.

• 한국응급구조학회지
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• 제8권1호
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• pp.57-70
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• 2004

This is an exploratory study to describe drinking patterns and problem drinking and alcohol-related problem in college students. The major purpose of this study is to describe the prevalence of drinking styles, the quantity of alcohol getting drunken and the describe the frequency of drunkenness in the previous 12months prior to the survey, and to examine the patterns of how various drinking behaviors are different by drinking style. We used the scale for measuring problem drinking NAST(1), AUDIT, indicated that males drank more and more and more frequently, and had episodes of drunkenness and more accepting of drinking than females, the amount of alcohol becoming intoxicated, the frequency and quantity of alcohol consumed in the month, and the frequency of intoxicated were significantly different by drinking styles in both sexes. A problem drinking rate, danger drinker 49.3% dependence drinker 3.5% in ADULT and alcohol dependency 9.7% in NAST(1) It will be necessary to discuss about adequate policy and eucation protrams to be able to curb collegiate's alcohol abuse.

• 한국위성정보통신학회논문지
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• 제9권4호
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• pp.57-62
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• 2014

본 논문에서는 빅 데이터를 이용하여 범죄 발생 패턴을 분석하는 알고리즘을 제안하고 구현했다. 제안된 알고리즘은 대검찰청에서 수집하여 공개한 범죄관련 빅 데이터를 사용하며, 표준편차 타원체 및 공간밀도 분석과 같은 공간통계분석을 통해 서울시의 2011-2013년 범죄발생 패턴을 분석했다. 범죄 발생 빈도수를 이용하여 범죄발생지역, 시간, 요일, 장소의 위험지수를 구했고, 범죄 패턴 분석 알고리즘을 통해 범죄 발생 확률을 구했다. 이를 통해 공간통계분석을 했다. 제안된 알고리즘의 구현 결과, 서울시의 각 구별로 범죄발생 패턴이 다르다는 것을 파악할 수 있었고, 다양한 범죄발생 패턴을 분석하고 범죄발생확률을 위험지수를 통해 수치화하여 위험도를 정량적으로 산출할 수 있었다.