• Radiation Oncology Journal
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• 제18권3호
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• pp.187-193
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• 2000

목적 : 여러 종양에 있어 DNA ploidy 양상은 여러 임상조직학적인 소견과의 연관성을 보여주어 왔다. 이에 본 연구에서는 대장직장암에 있어서의 이러한 연관성에 대해 알아보고 직장 5상 결장암에 있어서 치료 실패율과의 연관성에 대해 알아 보고자 하였다. 대상 및 방법 : 본 연구에서는 대장 직장암으로 진단 후, 근치적 절제술을 시행받은 환자 117명을 대상으로 하였고 Medley method에 따라 파라핀에 고정 후 flow cytometry를 사용하여 DNA ploldy와 여러 임상조직학적인 소견들과의 연관성을 밝히고자 하였다. 이 중 Duke 병기 B, C 직장 5상 결장암 환자 75명을 대상으로 하여 치료실패 양상과 DNA ploidy 간의 상관관계를 알아 보았다. 결과 : 종양분석 결과 40예(34.2%)에서 aneupioldy histogram을 얻을 수 있었다. DNA aneuploidy와 나이, 성별, 침범 깊이, 위치 그리고 Dukes' 병기와는 유의한 상관관계를 보이지 않았다. 그러나 Dukes 병기 B 직장암에 있어서는 치료 실패율과 DNA ploidy 사이에 유의한 상관관계를 보였다(p=0.048). 결론 : 대장 직장암에서 DNA ploi텀는 다른 임상조직학적 소견들과 관련이 없었고 직장 5상 결장암 병기 B에서는 치료 실패율과 연관성을 보였으나 보다 많은 수의 환자를 대상으로한 검증이 필요하다고 생각된다.

• Journal of Forest and Environmental Science
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• 제14권1호
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• pp.145-156
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• 1998

본 연구는 집중호우로 인하여 임도사면 붕괴가 발생한 강원도 춘천시 지역의 5개 임도(백양임도, 변가터임도, 사오랑임도, 부귀임도, 당림임도)를 대상으로 수량화이론(II)에 의한 절토사면의 붕괴위험 예측에 관하여 분석하였다. 그 결과는 다음과 같다. 임도 절토사면 붕괴는 주로 절토부 구조적인 요인과 식생, 지형적인 요인이 복합적으로 작용하여 발생하는 것으로 나타났다. 또한 편상관계수(partial correlation coefficient) 및 범위(range) 값에 의한 절토사면의 붕괴예측 결과는 절토길이 8m이상, 토심이 2.5m이상, 산지경사 $30^{\circ}{\sim}50^{\circ}$사이, 절토피복율이 무식생인 경우, 절토경사 $60^{\circ}$ 이상에서 붕괴위험도가 높게 나타났으며, 판별적중율은 90.1%이었다.

• 기본간호학회지
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• 제8권2호
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• pp.160-171
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• 2001

Purpose: The purpose of study was to identify the relationship between body image and self-esteem in patients with chronic renal failure. Method The subjects of study were 97 patients with chronic renal failure who were outpatients at K medical center. B hospital, H hospital in Busan. Data were collected from Nov 15th to Dec. 17th, 1999. The instruments used for study were the Body Cathexis Scale and Rogenberg's Self-esteem Scale. Collected data were analyzed by frequency, percentage, mean, standard deviation, t-test, ANOVA, Scheffe test, and Pearson's correlation coefficients. Result: 1 The mean score for body image was $137.46{\pm}22.21$, the mean mark $2.92{\pm}0.47$, and the mean score of self-esteem was $30.80{\pm}8.76$, the mean mark $3.08{\pm}0.87$. 2. There was a significant difference in the score for body image according to educational level (F=5.189, P=.002) and type of residence (F=6.095. P=.001). 3. There was a significant difference in the score for self-esteem according to age (F=3.615, P=.009), educational level (F= 4.772, P=.004), marital status (F=3.498 P=.019) and presence of children (F=2.511, P=.014). 4. Body image in patients with chronic renal failure patients showed significant correlation with self-esteem (r=.519, P=.000). Conclusion: From this study, a relationship between body image and self-esteem in patients with chronic renal failure was identified. Therefore, nursing interventions are needed to promote body image and self esteem in patients with chronic renal patients.

• 산업경영시스템학회지
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• 제44권4호
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• pp.65-75
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• 2021

This study explores multiple variables of an OTT service for discovering hidden relationship between rating and the other variables of each successful and failed content, respectively. In order to extract key variables that are strongly correlated to the rating across the contents, this work analyzes 170 Netflix original dramas and 419 movies. These contents are classified as success and failure by using the rating site IMDb, respectively. The correlation between the contents, which are classified via rating, and variables such as violence, lewdness and running time are analyzed to determine whether a certain variable appears or not in each successful and failure content. This study employs a regression analysis to discover correlations across the variables as a main analysis method. Since the correlation between independent variables should be low, check multicollinearity and select the variable. Cook's distance is used to detect and remove outliers. To improve the accuracy of the model, a variable selection based on AIC(Akaike Information Criterion) is performed. Finally, the basic assumptions of regression analysis are identified by residual diagnosis and Dubin Watson test. According to the whole analysis process, it is concluded that the more director awards exist and the less immatatable tend to be successful in movies. On the contrary, lower fear tend to be failure in movies. In case of dramas, there are close correlations between failure dramas and lower violence, higher fear, higher drugs.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2008년도 춘계 학술발표회 초청강연 및 논문집
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• pp.22-33
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• 2008

The plane strain test has been used widely in order to examine the stress-strain relation and failure behavior. Its advantages are more realistic simulation of deformation and failure behaviors of soils. Most plane strain tests have been carried out with restrained end plates due to difficulties in manufacturing the equipment with free end condition and also performing it. In this study, plane strain tests with/without bottom plate restraint were performed on Jumunjin-sand. The measurement of overall and local deformation was accomplished by digital image correlation technique as well as external LVDT. By applying digital image correlation method using two consecutive images captured through the transparent wall, local deformation behavior of various parts inside the specimen was estimated. From digital image analysis result, the restrained effect of end plate was examined about formation and development of shear band, and deformation mechanism of sand under plane strain condition.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1989년도 가을 학술발표회 논문집
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• pp.34-39
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• 1989

Recent trends in design standards development have encouraged the use of probabilistic limit sate design concepts. Reliability analysis adopted in those advanced countries have the potentials that they afford for symplifying the design Process arid placing it on a consistent reliability based for various construction materials. This study is proposed in the reliability analysis of plane frame structures using second-order moment method(Level-II they). Lind-Hasofer's minimum distance method is use in the derivation of an mathematical algorithm as well as an determination of Correlation cofficients, reliability index and total reliability index depending on the multiple failure modes. In addition. This study is employed as a practical tool for the approximate reliability analysis. Results of the numerincal analysis showed that the difference between the reliability index of the failure probability of the multiple failure modes and the total reliability index of the failure probability with the simultaneous failure modes deviated nearly 3∼10% depending on tile performance functions.

• 한국표면공학회지
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• 제36권4호
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• pp.347-355
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• 2003

Roughening of metal surfaces frequently enhances the adhesion strength of metals to polymers by mechanical interlocking. When a failure occurs at a roughened metal/polymer interface, the failure prone to be cohesive. In a previous work, an adhesion study on a roughened metal (oxidized copper-based leadframe)/polymer (Epoxy Molding Compound, EMC) interface was carried out, and the correlation between adhesion strength and failure path was investigated. In the present work, an attempt to interpret the failure path was made under the assumption that microvoids are formed in the EMC as well as near the roots of the CuO needles during compression-molding process. A simple adhesion model developed from the theory of fiber reinforcement of composite materials was introduced to explain the adhesion behavior of the oxidized copper-based leadframe/EMC interface and failure path. It is believed that this adhesion model can be used to explain the adhesion behavior of other similarly roughened metal/polymer interfaces.

• 한국항공운항학회지
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• 제27권2호
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• pp.9-15
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• 2019

The initial buckling of thin walled structures does not result in immediate failure. This post buckling capability is used to achieve light weight design, and final failure of thin walled structure is called crippling. To predict the failure load, empirical methods are often used for thin walled structures in design stage. But empirical method accuracy depend on geometry. In this study, experimental, empirical and numerical study of the crippling behavior of I-section beam made of carbon-epoxy are performed. The progressive failure analysis model to simulate the crippling failure is evaluated using the test results. In this study, commercial software LS-DYNA is utilized to compute the collapse load of composite specimen. Six kinds of specimens were tested in axial compression where correlation between analytical and experimental results has performed. From the results, we have partially conclude that the flange width-to-thickness ratio is found to influence the accuracy of empirical and numerical method.

• 한국해안·해양공학회논문집
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• 제20권2호
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• pp.137-147
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• 2008

다중 파괴모드에 대한 경사제 제체의 시스템적 안정성을 신뢰성 이론으로 해석하였다. 먼저 경사제의 안정성과 관련된 네 개의 단일 파괴모드에 대한 신뢰함수가 수립되었다. 각각의 단일 파괴모드에 대한 AFDA 신뢰성 해석 모형이 개발되었으며, CIAD(1985)의 결과와 비교하여 만족스럽게 검증하였다. 단일 파괴모드에 대한 신뢰성 해석에서는 파괴확률 뿐만 아니라 파괴확률에 영향을 미치는 각 확률변수들의 영향계수를 산정하였다. 한편 경사제의 다중 파괴모드에 대한 신뢰성 해석을 수행하기 위해 세 가지, 일차해석법, 이차해석법 그리고 PNET, 해석법이 적용되었다. 해석 결과에 의하면 일차해석법은 파괴확률을 과다 추정하는 경향이 있다. 따라서 다중 파괴모드를 해석할 때는 각 파괴모드간의 상관성을 고려할 수 있는 이차해석법이나 PNET 해석법을 이용하는 것이 바람직하다. 마지막으로 파괴모드간의 상관성에 기인하는 파괴확률의 추가적인 발생 가능성을 다중 파괴모드 해석을 통하여 확인할 수 있었다.

• 산업경영시스템학회지
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• 제43권2호
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• pp.33-38
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• 2020

Anomaly detection of Machine Learning such as PCA anomaly detection and CNN image classification has been focused on cross-sectional data. In this paper, two approaches has been suggested to apply ML techniques for identifying the failure time of big time series data. PCA anomaly detection to identify time rows as normal or abnormal was suggested by converting subjects identification problem to time domain. CNN image classification was suggested to identify the failure time by re-structuring of time series data, which computed the correlation matrix of one minute data and converted to tiff image format. Also, LASSO, one of feature selection methods, was applied to select the most affecting variables which could identify the failure status. For the empirical study, time series data was collected in seconds from a power generator of 214 components for 25 minutes including 20 minutes before the failure time. The failure time was predicted and detected 9 minutes 17 seconds before the failure time by PCA anomaly detection, but was not detected by the combination of LASSO and PCA because the target variable was binary variable which was assigned on the base of the failure time. CNN image classification with the train data of 10 normal status image and 5 failure status images detected just one minute before.