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김선진,Kim, Seon-Jin 대한기계학회 1999 大韓機械學會論文集A Vol.23 No.7
Reliability analysis of structures based on fracture mechanics requires knowledge on statistical characteristics of the parameter C and m in the fatigue crack growth law, $da/dN=C({\Delta}K)^m$. The purpose of the present study is to investigate if it is possible to predict fatigue crack growth rate by only the fluctuation of the parameter C. In this study, Paris-Erdogan law is adopted, where the author treat the parameter C as random and m as constant. The fluctuation of crack growth rate is assumed only due to the parameter C. The growth resistance coefficient of material to fatigue crack growth (Z=1/C) was treated as a spatial stochastic process, which varies randomly on the crack path. The theoretical crack growth rates at various stress intensity factor range are discussed. Constant ${\Delta}K$ fatigue crack growth tests were performed on the structural steel, SM45C. The experimental data were analyzed to determine the autocorrelation function and Weibull distributions of the fatigue crack growth resistance. And also, the effect of the parameter m of Paris' law due to variation of fatigue crack growth resistance was discussed.
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김선진 한국스포츠심리학회 1991 한국스포츠심리학회지 Vol.2 No.2
This study examined how speed was related to movement accuracy in terms of impulse variability in a timing task. The scaling of kinetic parameters in impulse resulted in the kinematic error function in a nonlinear fashion. Three experiments investigated the effect of force parameter scaling, time parameter scaling, and scaling of both parameters, The results showed that the speed itself was not sufficient enough to explain movement spatial accuracy. Spatial accuracy was proportional to the impulse variability multiplied by movement time. Timing accuracy was sensitive to the rate of force production in addition to movement time. It was also discussed that why the speed-accuracy relation was different from that of Fitts' aiming paradigm.
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중국 부동산버블 추정에 관한 실증연구 -중국 30개 성⋅시를 중심으로-
김선진 한국동북아경제학회 2015 동북아경제연구 Vol.27 No.1
본 연구는 2004-2013년까지 중국 30개 성⋅시 부동산버블을 추정하였다. 부동산버블 추정방식 중 대표적인 세 가지 지표인 PIR, 다중선형회귀모형, 부분균형모형을 선택하였고, 본 세 가지 추정방식으로 30개 성⋅시 버블수준을 도출하였다. 또한 요인분석법으로 세 가지 분석방법을 종합한 하나의 분석지표를세워 2013년 중국 30개 성⋅시 부동산버블을 종합적으로 추정하였으며, 부동산버블의 경중에 따라 부동산버블 심각지역, 버블 일반지역, 버블 비존재 지역으로 지역을 분류하였다. 본 연구의 차별성은 다음과 같다. 첫째, 중국 부동산버블 추정 방법으로, 요인분석법을 통해 PIR, 다중선형회귀모형, 부분균형법 세 가지 부동산 버블 추정방식에 가중치를 더해 종합적인 부동산버블 지표 방식을 세워 중국 30개 성⋅시 부동산 버블을 추정한 것이다. 둘째, 선행 중국 부동산 연구에서 지역을 분류하여 분석할 경우, 동부⋅중부⋅서부로 분류하는 경우가 대다수이다. 그러나단순히 행정구분에 따라 지역을 나누어 분석하는 것은 부동산 연구에 맞지 않으며, 부동산 버블 경중에 따라 지역을 재분류하여 버블 심각지역, 버블 중간지역, 버블 비존재지역으로 나누어 분석하는 것이 향후 동일한 연구를 진행하거나 부동산 버블 영향 요인을 분석하는 데에 현실적 의의가 있다 하겠다. This study has examined the bubble degree of real estate from 2004 until 2013in Chinese 30 provinses and cities. By employing 3 typical methods - PIR,multivariable linear regression and local balance methods, this paper has analyzedthe bubble degree of real estate of China. According to the index of real estatebubble synthesized and gained by factor analysis, the bubble degree in 30 provincesand cities could be classified as being serious, moderate and slight. The distinctions of this study is as follows. First, as the method of Chinese realestate bubble, this paper has focused on the factor analysis by employing three mainmethods - PIR, multivariable linear regression and local balance methos; and madethe synthetic index of bubble degree based on the result gained by the threemethods above. Second, most of the previous studies on Chinese real estateanalyzed it by classifying the whole provinces into eastern, central and westernparts. However, it is not suitable to analyze the problem by the simpleadministrative districts. Instead, according to the seriousness of real estate bubble,reclassifying the districts as being serious, moderate and slight seems to be arealistic meaning for the future similar or identical study analyzing the factor ofinfluence on the real estate bubble.
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김선진,김종성,김성수,정진규,윤석준,이정윤,김지한 대한가정의학회 2018 Korean Journal of Family Medicine Vol.39 No.6
Background: There is a distinction in alcohol consumption behavior between adults and college students. This study aims to verify the usability and the optimal cutoff point of Alcohol Use Disorders Identification Test–Korean revised version (AUDIT-KR) for screening alcohol use disorder in college students when the diagnostic and statistical manual of mental disorders (DSM), 5th edition diagnostic criteria is applied. Methods: A total of 922 college students living in Daejeon were enrolled and divided into two groups based on how many items they corresponded to among DSM-5 alcohol use disorder diagnostic criteria: those who corresponded to ≥2 of the 11 items were classified into the patient group (107 males, 89 females) while the others into the control group (311 males, 415 females). The participants were evaluated using AUDIT-KR to find the optimal cutoff point for screening alcohol use disorder, sensitivity, and specificity. Results: The mean±standard deviation scores in the AUDIT-KR were 12.76±7.27, 10.72±4.62 for males and females, respectively, in the patient group. In contrast, in the control group the scores were 6.26±5.23 and 3.95±3.59 in males and females, respectively. The area under the receiver operating characteristic curve (95% confidence interval) regarding alcohol use disorder screening by AUDIT-KR was 0.768 (0.715–0.821) and 0.883 (0.848–0.919) for males and females, respectively. The optimal cutoff point of alcohol use disorder for males was >9, sensitivity 64.49%, and specificity 76.85%. The optimal cutoff point for females was >6, sensitivity 82.02%, and specificity 80.48%. Conclusion: This study suggested that AUDIT-KR can be used as a screening tool for alcohol use disorder in groups of college students when DSM-5 diagnosis criteria are applied.
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