• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.11-12
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• 2015

두 선박이 정면에서 마주치며 선박간 상호 통항하거나 상대선을 추월할 경우 각 선박의 선체형상과 선속에 의한 유체력 상호작용에 따른 선박간 간섭력이 발생한다. 선박간 간섭력의 주요한 평가 요소인 횡력과 회두 모멘트의 측정을 통해 두 선박이 근접하였을 때의 위험도와 충돌을 예측할 수 있다. 선행된 간섭력에 관한 연구는 대부분 경험에 의하거나 이론적인 측면에서 관련 연구가 진행되어왔으며, 학계에서 통상적으로 널리 알려진 뉴턴의 연구(1960)에서는 깊은 수심에서 두 선박을 평행하게 항주시켰을 때 선박간 최대 흡인력은 두 선박이 정횡으로 나란하게 위치되는 지점에서 발생하고, 이때의 간섭력은 선속의 제곱에 비례한다고 추정하였다. 현대의 조선기술이 발전함에 따라 선박의 크기는 점점 대형화되고 선박의 운항 효율성 증진을 위한 다양한 선형이 개발되어 실선에 적용되고 있다. 이런 경향에 따라 과거에 비해 현대 선박 운항환경에서의 선박간 간섭은 선박의 크기 및 선형에 의한 영향이 클 것으로 판단된다. 본 연구에서는 선박의 종류별로 대표 선종을 선정하여 두 선박이 정면에서 마주치며 통과하는 운항조건에서의 선속 증가에 따른 선박 상호간 간섭력의 변화를 통상적으로 사용되는 선박조종시뮬레이터를 이용하여 실험 및 분석하여 상관관계를 도출하였다. 선박 유형에 따른 시뮬레이션 실험 결과 최대 횡력은 주로 선미 부근에서 발생하였고 최대 회두모멘트는 선수가 근접할 때 발생하였으며, 선속이 증가할수록 선박 상호간 근접거리가 좁혀졌고 선형별로 각기 다른 선속에서 선미 충돌이 발생하였다. 이 실험연구는 선형에 따른 선박 상호간 근접 시의 횡거리와 통과속력에 대한 기준 설정의 연구 근간을 마련하였고 선박간 교항시 안전운항을 위한 지침이 될 것으로 판단된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.475-478
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• 2014

최근 인터넷이 발전함에 따라 월드와이드웹(World Wide Web) 기반의 웹 서비스가 급격한 발전을 이루었다. 또한 이 웹 서비스를 바탕으로 다양한 컨텐츠들과 이를 이용하는 사용자의 수도 함께 증가하였다. 그러나 이와 같은 웹 서비스의 보편화가 증대될수록 이를 악용하려는 사이버 범죄 또한 비례하여 증가하고 있다. 최근에는 공격자들이 스마트폰을 대상으로 악성코드를 전파하기 위한 방법으로 웹 서비스를 활용하기 시작하면서 웹 서비스의 보안에 대한 중요성이 더욱 강조되고 있다. 이러한 웹 서비스 보안의 필요성을 인지하고, 많은 사람들이 무료로 쉽게 웹 서비스 보안취약점을 진단 할 수 있도록 여러 오픈소스 기반의 보안 취약점 진단도구가 연구, 개발되고 있다. 하지만 웹 서비스의 보안약점을 진단하는 도구의 적합성 평가 및 기능 분류가 명확하지 않아서 진단도구를 선택하고 활용함에 있어 어려움이 따른다. 본 논문에서는 OWASP에서 위험도에 따라 선정한 웹 서비스의 보안 취약점 Top 10 항목과 소프트웨어 보안약점 진단가이드 등을 통해 웹 서비스 보안 취약점을 진단하는 도구에 대한 분석 기준을 제시한다. 이후 오픈소스로 공개된 테스트 기반 취약점 탐지도구와 소스 기반 취약점 진단도구들에 대해 제시한 기준을 이용하여 분석한다. 본 논문의 분석결과로 웹 서비스의 안전성을 평가하기 위해 활용할 수 있는 진단 도구에 대한 분석정보를 제공함으로써 보다 안전한 웹 서비스의 개발과 운영에 기여할 것으로 기대한다.

• Clinical and Experimental Pediatrics
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• v.48 no.12
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• pp.1362-1369
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• 2005

Purpose : This study aimed to investigate the correlation between the plasma level of N-terminal pro-B-type natriuretic peptide(pro-BNP) and several known risk factors influencing outcomes after Fontan operations, and to assess whether pro-BNP levels can be used as predictive risk factors in Fontan operations. Methods : Plasma pro-BNP concentrations were measured in 35 patients with complex cardiac anomalies before catheterization. Cardiac catheterization was performed in all subjects. Mean right atrium pressure, mean pulmonary artery pressure(PAP), and ventricular end-diastolic pressure(EDP) were obtained. Cardiac output and pulmonary vascular resistance were calculated by Fick method. Results : Plasma pro-BNP levels exhibited statistically significant positive correlations with mean PAP(r=0.70, P<0.001), pulmonary vascular resistance(r=0.57, P<0.001), RVEDP(r=0.63, P<0.001), LVEDP(r=0.74, P<0.001), and cardiothoracic ratio(r=0.71, P<0.001). The area under the ROC curve using pro-BNP level to differentiate risk groups in Fontan operations was high : 0.868(95 percent CI, 0.712-1.023, P<0.01). The cutoff value of pro-BNP concentrations for the detection of risk groups in Fontan operations was determined to be 332.4 pg/mL(sensitivity 83.3 percent, specificity 82.7 percent). Conclusion : These data suggest that plasma pro-BNP levels may be used as a predictive risk factor in Fontan operations, and as a guide to determine the mode of therapy during follow-up after Fontan operations.

• Journal of the Korean Data and Information Science Society
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• v.22 no.1
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• pp.1-8
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• 2011

In panel studies in which the same respondents are interviewed repeatedly over the long term, panel attrition may cause the problems in the reliability of the result and the representativeness of the sample in panel study. In this article, we explore the risk factors of sample attrition in the first 11 waves of the Korean Labor and Income Panel Study (KLIPS) data covering the years 1998-2008, for which the survival analysis techniques such as life-table method and Cox proportional hazard model based on the time to the attrition of each respondent as the survival time of the respondent are applied.

• The Korean Journal of Applied Statistics
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• v.23 no.4
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• pp.705-713
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• 2010

Predicting survival from microarray data is not easy due to the problem of high dimensionality of data and the existence of censored observations. Also the limitation of individual gene analysis causes the shift of focus to the level of gene sets with functionally related genes. For developing a survival prediction model based on pathway information, the methods for selecting a supergene using principal component analysis and testing its significance for each pathway are discussed. Besides, the performance of gene filtering is compared.

• Journal of Labour Economics
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• v.43 no.2
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• pp.41-74
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• 2020

In this study, using the job history data of the Youth Panel(1-12th year: 2007 ~ 2018) of the Korea Employment Information Service, it is found that characteristics and duration distribution of first jobs of wage and salary worker, and estimated the factors of first job exit by utilizing survival analysis. As a result of the analysis, regular workers are less likely to leave their first jobs than temporary/daily workers. In addition, the group with a high degree of major congruence was found to have a lower chance of leaving the first job than the group with a major mismatch. And the higher the income level, the lower the probability of departure, which shows that the possibility of leaving low-income workers is very high.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.4093-4099
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• 2013

We studied sea water pollution by waste water of H condominium near the Bunam Lake in Seosan City. We simulated COD of discharged waste water, and other factors can be expected by proportional. The direction of sea flow is almost west, and there is no fish cultivation in the west area, so it is safe for fish cultivation. We assumed that there is no flow in the sea water, and simulated the divergence of water pollution. We concluded that, the fish cultivation will be free from danger of water pollution.

• Journal of Korean Society of Water and Wastewater
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• v.23 no.3
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• pp.305-313
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• 2009

This paper provides a method for evaluating a residual life of water mains using a proportional hazard model(PHM). The survival time of individual pipe is defined as the elapsed time since installation until a break rate of individual pipe exceeds the Threshold Break Rate. A break rate of an individual pipe is estimated by using the General Pipe Break Model(GPBM). In order to use the GPBM effectively, improvement of the GPBM is presented in this paper by utilizing additional break data that is the cumulative number of pipe break of 0 for the time of installation and adjusting a value of weighting factor(WF). The residual lives and hazard ratios of the case study pipes of which the cumulative number of pipe breaks is more than one is estimated by using the estimated survival function. It is found that the average residual lives of the steel and cast iron pipes are about 25.1 and 21 years, respectively. The hazard rate of the cast iron pipes is found to be higher than the steel pipes until 20 years since installation. However, the hazard rate of the cast iron pipes become lower than the hazard rates of the steel pipes after 20 years since installation.

• Journal of the Korean Data and Information Science Society
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• v.26 no.3
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• pp.569-580
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• 2015

Log-rank is widely used for testing equality of two survival functions, and this method is efficient only under the proportional hazard assumption. However, crossing survival functions are common in practice. Therefore, many approaches have been suggested to test equality of them. This study considered several methods; Renyi type test, modified Kolmogorov-Smirnov and Cramer-von Mises test, and weighted Log-rank test, which can be applied when the survival functions cross, and simulated power of those methods. Based on the simulation results, we provide the useful information to choose a suitable approach in a given situation.

• The Korean Journal of Applied Statistics
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• v.17 no.2
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• pp.253-267
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• 2004

In some clinical trials, one may see that a significant fraction of patients are cured and their original disease does not recur even after termination of treatment and pro-longed follow-up. This situation occurs frequently in pediatric cancer trials where there are excellent therapeutic results. In such cases, interest concentrated on the difference of cure rates rather than other types of differences in failure distributions. Various authors have investigated the parametric and nonparametric methods for testing the difference of cure rates. In this study, we compare by simulation the power and size of a parametric test and five nonparametric tests in a various range of the alternatives, censoring rates and cure rates. Our objectives are to determine if any test was preferable on the basis of size and power in various situation, and to investigate the effect of the model misspecification.