• 한국안전학회지
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• 제20권4호
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• pp.130-137
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• 2005

Decision tree algorithm is one of the data mining techniques, which conducts grouping or prediction into several sub-groups from interested groups. This technique can analyze a feature of type on groups and can be used to detect differences in the type of industrial accidents. This paper uses C4.5 algorithm for the feature analysis. The data set consists of 24,887 features through data selection from total data of 25,159 taken from 2 year observation of industrial accidents in Korea For the purpose of this paper, one target value and eight independent variables are detailed by type of industrial accidents. There are 222 total tree nodes and 151 leaf nodes after grouping. This paper Provides an acceptable level of accuracy(%) and error rate(%) in order to measure tree accuracy about created trees. The objective of this paper is to analyze the efficiency of the C4.5 algorithm to classify types of industrial accidents data and thereby identify potential weak points in disaster risk grouping.

• 대한정형외과스포츠의학회지
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• 제3권2호
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• pp.93-97
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• 2004

회전근 개의 전층 파열은 운동, 고정, 약물 등의 치료로 재생되기 어렵다. 파열은 시간이 지나면서 격심한 통증은 없어질 수 있으나, 대부분의 환자에서 어깨나 머리 위로 다시 움직일 때 증상이 재발된다. 작은 파열은 진행할 수 있으며, 광범위한 파열 시 통증이 감소될 수 있으나 점진적인 근력 약화가 동반된다. 치료 받지 않은 회전근 개 파열 환자의 일부는 견관절 관절염이 속발될 수 있다. 보존적 방법으로 치료하여도 증상이 지속될 때, 증상을 호전 시키고 기능을 회복시키는 가장 좋은 방법은 수술적 봉합이다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2014년도 추계학술발표대회
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• pp.492-494
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• 2014

정보유출사고가 증가됨에 따라, 기업 및 기관 내 주요정보(개인정보 및 핵심기술)가 유출되어 큰 피해가 발생하고 있다. 이러한 정보유출 사고 중 대부분이 내부자에 의한 고의 또는 실수로 발생하는 경우가 대부분이다. 이를 방지하기 위해 다양한 보안 솔루션을 도입하여 운영하고 있지만 내부자에 의한 정보유출사고는 본인이 소유하고 있는 권한을 이용하여 불법적인 정보유출을 시도하는 것으로, 이러한 위험행동을 탐지하는 것은 쉽지 않다. 이를 해결하기 위해 기업 및 기관에서는 기 구축된 다양한 보안 솔루션을 통합하여 모니터링 할 수 있는 '내부정보유출방지 모니터링시스템'을 구축하고 있으며, 내부정보유출방지 모니터링을 위한 연구도 지속적으로 진행되고 있다. 따라서 본 논문에서는 중점관리 대상(고위험군) 선정을 통해 효율적인 내부정보유출방지 모니터링을 수행할 수 있도록 연구하고자 한다.

• Communications for Statistical Applications and Methods
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• 제23권3호
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• pp.203-213
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• 2016

We investigate volatility spillover aspects of realized volatilities (RVs) for the log returns of the Korea Composite Stock Price Index (KOSPI) and the Hang Seng Index (HSI) from 2009-2013. For all RVs, significant long memories and asymmetries are identified. For a model selection, we consider three commonly used time series models as well as three models that incorporate long memory and asymmetry. Taking into account of goodness-of-fit and forecasting ability, Leverage heteroskedastic autoregressive realized volatility (LHAR) model is selected for the given data. The LHAR model finds significant decompositions of the spillover effect from the HSI to the KOSPI into moderate negative daily spillover, positive weekly spillover and positive monthly spillover, and from the KOSPI to the HSI into substantial negative weekly spillover and positive monthly spillover. An interesting result from the analysis is that the daily volatility spillover from the HSI to the KOSPI is significant versus the insignificant daily volatility spillover of the KOSPI to HSI. The daily volatility in Hong Kong affects next day volatility in Korea but the daily volatility in Korea does not affect next day volatility in Hong Kong.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2011년도 학술발표회
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• pp.51-51
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• 2011

유역의 홍수위험도를 산정하기 위해서는 홍수의 발생가능성과 유역의 홍수방어 능력 등의 환경적, 공학적 요소 이외에도 홍수로 인한 피해 및 영향의 종류에 따라 사회적, 경제적, 문화적, 공학적인 요소를 반영해야 한다. 이들 홍수 피해 요소는 그 중요성이나 특성별로 홍수로부터의 방어 비중이 다르게 설정될 수 있으며 지역별로도 차이를 나타낼 수 있다. 본 연구에서는 홍수위험도를 평가하기 위한 인자 선정에 지속가능성 평가 모형인 DPSIR (Driving force-Pressure-States-Impacts-Response)을 이용하여 환경적, 공학적 요소뿐만 아니라 사회적, 경제적, 문화적인 요소를 반영하고자 한다. DPSIR 모형은 유역의 영향 인자들을 지표로 선정하며 각 지표간의 유기적 관계를 반영하는 구조로 이루어져 홍수로 인하여 인자 간에 발생하는 반응을 묘사할 수 있는 장점이 있다. 또한 인자를 선정함에 있어서 전문가 및 이해당사자들의 견해에 따른 평가 지역의 특성과 지속적인 변화 가능성 등을 유기적으로 연결될 수 있도록 평가요소로 반영할 수 있다. 본 연구는 추가 연구를 통해 남한강의 하도구간 별로 적용될 예정이며 각 인자들에 대한 자료는 문헌조사, 통계자료 조사 및 수리학적 수치모형 등의 분석을 통해 수집될 예정이다. 인자들에 대한 가중치는 전문가들의 의견을 반영할 예정이다. 향후 하천의 구간별 상대적 홍수취약도를 사회, 경제, 문화, 환경적인 측면을 고려한 인자들을 반영하여 정량적으로 제시하므로 하천 구간별 치수관리 우선순위를 결정하는데 적극적으로 활용될 수 있다.

• 보건교육건강증진학회지
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• 제35권5호
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• pp.35-45
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• 2018

Objectives: Despite the importance of Non-pharmacological interventions for Eating Disorders, no meta-analysis providing definite conclusions in this field has been reported. The purpose of the this study was to conduct meta-analysis of Non-pharmacological interventions for the improvement of eating disorders. Methods: We searched the Koreamed, KISTI, KMBASE, RISS and KISS and so on up to October 2017 using search terms such as ((Eating disorders OR anorexia OR binge) AND (Mediation OR program OR treatment OR therapy OR technique)) in Korean. Results: Initial searches yielded 602 citations. Of these results, seven met selection criteria. Interventions reduced the risk of binge eating disorder (standardised mean difference [SMD] -2.133, 95% CI -3.107~-1.159). Interventions reduced drive for leanness (-1.857, -3.143~-0.571), body dissatisfaction (-1.357, -2.238~-0.477), depression (-0.745, -1.298~-0.192), but not physical function (0.191, -0.089~0.471). Conclusions: The results from this study indicate that Non-pharmacological Interventions may help Eating disorders' binge eating, drive for thinness, body dissatisfaction, depression. However, larger-scale studies are needed to confirm this conclusion.

• Clinical and Experimental Pediatrics
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• 제62권9호
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• pp.325-333
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• 2019

Allergic diseases, including allergic rhinitis, asthma, and atopic dermatitis, are common heterogeneous diseases that encompass diverse phenotypes and different pathogeneses. Phenotype studies of allergic diseases can facilitate the identification of risk factors and their underlying pathophysiology, resulting in the application of more effective treatment, selection of better treatment responses, and prediction of prognosis for each phenotype. In the early phase of phenotype studies in allergic diseases, artificial classifications were usually performed based on clinical features, such as triggering factors or the presence of atopy, which can result in the biased classification of phenotypes and limit the characterization of heterogeneous allergic diseases. Subsequent phenotype studies have suggested more diverse phenotypes for each allergic disease using relatively unbiased statistical methods, such as cluster analysis or latent class analysis. The classifications of phenotypes in allergic diseases may overlap or be unstable over time due to their complex interactions with genetic and encountered environmental factors during the illness, which may affect the disease course and pathophysiology. In this review, diverse phenotype classifications of allergic diseases, including atopic dermatitis, asthma, and wheezing in children, allergic rhinitis, and atopy, are described. The review also discusses the applications of the results obtained from phenotype studies performed in other countries to Korean children. Consideration of changes in the characteristics of each phenotype over time in an individual's lifespan is needed in future studies.

• Structural Monitoring and Maintenance
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• 제6권2호
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• pp.125-145
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• 2019

Bridge scour is one of the predominant causes of bridge failure. Current climate deterioration leads to increase of flooding frequency and severity and thus poses a higher risk of bridge scour failure than before. Recent studies have explored extensively the vibration-based scour monitoring technique by analyzing the structural modal properties before and after damage. However, the state-of-art of this area lacks a systematic approach with sufficient robustness and credibility for practical decision making. This paper attempts to develop a data-driven methodology for bridge scour monitoring using support vector machines. This study extracts features from the bridge dynamic responses based on a generic sensitivity study on the bridge's modal properties and selects the features that are significantly contributive to bridge scour detection. Results indicate that the proposed data-driven method can quantify the bridge scour damage with satisfactory accuracy for most cases. This paper provides an alternative methodology for bridge scour evaluation using the machine learning method. It has the potential to be practically applied for bridge safety assessment in case that scour happens.

• 유통과학연구
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• 제19권11호
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• pp.17-25
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• 2021

Purpose: This study aims to examine the effect of gender diversity and institutional ownership on earnings management in distribution industry sub-sector companies listed on the Indonesia Stock Exchange in 2017-2018. Research design, data and methodology: This research is case study research, where the population in this study are all distribution sub-sector companies listed on the IDX in 2017-2018. The sample selection technique used was purposive sampling and obtained 74 companies with the 2017-2018 research period. Multiple linear regression analysis was used in this study, using Stata 17. Results: The results of this study indicate that: 1) Gender diversity has a negative effect on earnings management. 2) Institutional ownership has a negative effect on earnings management. Conclusions: This study contributes to the agency theory where gender diversity and institutional ownership can reduce the agency conflict that the shrinkage of earnings management. These results indicate that companies in which there are female directors will reduce earnings management practices, this is due to the attitude of female directors who tend to avoid risk. The results also show that institutional ownership will also lead to reduced levels of earnings management, because institutional investors will increase its oversight of the company.

• 대한한방내과학회지
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• 제42권3호
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• pp.259-278
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• 2021

Objectives: This study examines the effect of Sagunja-tang on functional dyspepsia (FD) through a systematic review and meta-analysis of a randomized controlled trial (RCT). Methods: A search for RCTs that tested the effect of Sagunja-tang on functional dyspepsia was conducted in Medline, Embase, PubMed, CENTRAL, CiNii, CNKI, NDSL, RISS, OASIS, and KISS databases on November 8, 2020, with no limit on the year of publication. A meta-analysis was performed by synthesizing the findings, including total efficiency, clinical symptom score, myosin light-chain kinase (MLCK) level (pg/mL, and gastric half-emptying time (min). RevMan 5.4.1 software was used for data analysis. The quality of the literature was evaluated using Cochrane's risk of bias (RoB) tool. Results: A total of 14 RCTs met the selection criteria. As a result of the meta-analysis, the treatment group had higher total efficacy and MLCK levels (gastric antrum, jejunum) than the control group, and the clinical symptom score and gastric half-emptying time were lower. However, due to the low quality of the included RCT and the small sample size, the results may be slightly biased.