• JSTS:Journal of Semiconductor Technology and Science
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• v.10 no.4
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• pp.251-259
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• 2010

We proposed a tail function parameter extraction procedure for the establishment of a robust ion implantation database. We showed that, for the expression of ion implantation profiles, there are many local minimum values set for the third and fourth moment parameters of $\gamma$ and $\beta$ for the Pearson function that comprises the standard dual Pearson and tail functions. We proposed the use of a joined tail function as a mediate function to extract $\gamma$ and $\beta$, and demonstrated that this enables us to extract the parameters uniquely. Other parameters associated with channeling phenomena can also be simply and uniquely extracted by our procedure.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.1694-1700
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• 2004

In this paper, we propose the AWLS/MFT (Adaptive Weighed Least Squares/ Modulation Function Technique) devised by A. E. Pearson et al. for the transfer function estimation of a modal system and investigate the performance of several algorithms, the Gram matrix method, a Luenberger Observer (LO), Least Squares (LS), and Recursive Least Squares (RLS), for the estimation of initial conditions. With the benefit of the Modulation Function Technique (MFT), we can separate the estimation problem into two phases: the transfer function parameters are estimated in the first phase, and the initial conditions are estimated in the second phase. The LO method produces excellent IC estimates in the noise free case, but the other three methods show better performance in the noisy case. Finally, we compared our result with the Prony based method. In the noisy case, the AWLS and one of the three methods - Gram matrix, LS, and RLS- show better performance in the output Signal to Error Ratio (SER) aspect than the Prony based method under the same simulation conditions.

• Journal of Korean Physical Therapy Science
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• v.4 no.4
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• pp.519-528
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• 1997

The purpose of this research were to evaluate the overall capacity of activity in hemiplegic patients caused by stroke, to learn the relationship of the overall capacity of activity with 8 out of 9 subtest of the Motor Assessment Scale (MAS) excluding general tonus subtest, and to use in creation of more efficient rehabilitation program by using Motor Assessment Scale (MAS). Twenty-four stroke patients (14 men and 10 women) were the subjects in this study. Their average age was 59.5 and they received average of 17.88 month of therapy. Collected data analysis was completed by using Statistic Analysis System (SAS). The results were as follows: 1) There was no difference in capacity of activity between right hemiplegia and left hemiplegia. 2) There was no difference in capacity of activity compared therapeutic period and age. 3) In comparing the relationship of the each subtest with the overall capacity of activity, upper arm function showed the highest relation (pearson's r = 0.914), and balance sitting (pearson's r= 0.812) and supine to sitting overside of bed (pearson'sr = 0.746) also showed large relationship. 4) Hand movement (pearson's r = -0.45) and advanced hand activity (pearson's r = -0.401) revealed relationship of general tonus with each subtest. 5) Supine to sitting over side of bed (pearson's r = 0.74), balanced sitting(pearson's r = 0.523), and sitting to standing (pearson's r = 0.723) showed large relationship with walking.

• Proceedings of the KSME Conference
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• 2004.11a
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• pp.840-845
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• 2004

The reliability analysis for nonnormal distributions using the three level DOE(design of experiments) method was developed by Seo and Kwak in 2002. Although this method estimates only up to the first four moments(mean, standard deviation, skewness, and kurtosis) of the system response function, the result and the type of probability distribution determined by using the Pearson system are shown very good. However the accuracy is low in case of nonlinear performance function and sometimes, the level calculated is outside of the region in which the random variable is defined. In this article we suggest a modified three level DOE method to overcome these weaknesses and to obtain optimum choice for 3 levels and weights to handle nonnormal distributions. Furthermore we extend it to finding the optimum choice for 5 levels and weights to increase the accuracy in case of nonlinear performance function. A systematic procedure for reliability analysis is then proposed by using the Pearson system.

• Journal of the Korea Society for Simulation
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• v.28 no.2
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• pp.89-95
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• 2019

This paper introduces the simulation concepts and technical approach of underwater weapon system performance analysis simulator, especially focused on probabilistic target detection concepts. We calculated the signal excess (SE) value using SONAR equation, then derived the probability density function(PDF) for target presence($H_1$) or absence($H_0$) cases, respectively. With the Neyman-Pearson detector criterion, we got the probability of detection($P_D$) while satisfying the given probability of false alarm($P_{FA}$). At every instance of simulation, target detection is decided in the probabilistic perspective. With the proposed detection implementation, we improved the model fidelity so that it could support the tactical decision during the operation.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 1994.11a
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• pp.40-45
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• 1994

The TCAD(Technology Computer Aided Design) software tool is a popular name to be able to simulate the semiconductor process and device circuit. We have developed a two-dimensional TCAD software tool included an editor, parser, each process unit, and 2D, 3D graphic routine that is Integrated Environment. The initial grid for numerical analysis is automatically generated with the geometric series that use the user default(given) line and position separated with grid interval and the nodes corresponding to each mesh point stoic the all the possible attribute. Also, we made a data structure called PIF for input or output. Methods of ion implantation in this paper arc Monte Carlo, Gaussian Pearson and Dual-Pearson. Analytical model such as Gaussian, Pearson and Dual-Pearson were considered the multilayer structure and two-dimensional tilted implantation. We simuttaneously calculated the continuity equation of impurity and point defect in diffusion simulation. Oxidation process was simulated by analytical ERFC(Complementary Error Function) model for local oxidation.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.509-517
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• 2014

The objective of this study was to investigate the degree of interpersonal relationship in nursing students according to their characteristics. This descriptive correlation study conducted visit-surveys with organized questionnaires and sampled 306 nursing students. Data was analyzed by t-tests, ANOVA, Pearson's correlation coefficients and multiple regression analysis using SPSS/WIN 14.0. Findings revealed that; 1) the degree of interpersonal relationship in nursing students according to their characteristics were significantly different in age and grade; 2) Pearson's correlation revealed a significant association among interpersonal relationship, family function and self-differentiation; 3) multiple regression analysis showed self-differentiation and family function significantly influenced interpersonal relationship in nursing students. Based on the findings of this study, nursing professionals should provide proper program of interpersonal relationship related to self-differentiation and family function.

• Journal of East-West Nursing Research
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• v.11 no.2
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• pp.116-123
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• 2005

Purpose: The purpose of this study was to analyze the influencing factors on adolescent's self-efficacy. Method: This was a descriptive study. The data were collected from 7th through 12th graders(N=1710) enrolled in middle schools(N=873) and high schools(N=837) in the metropolitan area of Daegu. The instruments had used for this study were the self-efficacy, the life event checklist, and Family APGAR. The data were analyzed using frequency, t-test, Pearson correlation coefficient, and multiple regression analysis. Result: Pearson correlation analysis revealed that there were negative correlations between the self-efficacy and the stress. However, in case of the subjects who recorded higher scores at self-efficacy they showed higher scores at family function. Stepwise multiple regression analysis revealed that powerful predictors of adolescent's self-efficacy were family function and relations of schoolmate. Conclusion: From these results, we can find that the family function and relations of schoolmate were actual factors theta affected the self-efficacy of adolescents. Accordingly, affirmative emotion in family, harmonic communication among family members and sharing housekeeping works is recommended as a useful method in order to enhance the family function, and then the self-efficacy of adolescence will be increased.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.115-120
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• 2019

This study was undertaken to determine the correlation between β-amyloid, serum lipid levels, and cognitive function in the elderly with mild Alzheimer's dementia. The study was conducted in December 2018, enrolling 45 elderly people with mild Alzheimer's disease. Blood analysis measured the β-amyloid and serum lipid levels, and cognitive function was measured using MMSE-K. The correlation between β-amyloid, serum lipid levels and cognitive function was determined using Pearson's correlation analysis. A significantly negative correlation was observed between the β-amyloid level and cognitive function (p<0.05). Furthermore, serum lipid levels and cognitive function also revealed a significantly negative correlation between TC and LDL levels (p<0.05). These results indicate that increasing levels of β-amyloid, TC, and LDL augments a negative correlation that decreases the cognitive function, signifying that management of pathologic factors related to dementia is important for the prevention and improvement of cognitive function in dementia patients.

• Proceedings of the KSME Conference
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• 2004.11a
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• pp.852-857
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• 2004

A new and efficient method for estimating the statistical moments of a system performance function has been developed. The method consists of two steps: (1) An approximate response surface is generated by a quadratic regression model, and (2) the statistical moments of the regression model are then calculated by experimental design techniques proposed by Seo and $Kwak^{(4)}$. In this approach, the size of experimental region affects the accuracy of the statistical moments. Therefore, the region size should be selected suitably. The D-optimal design and the central composite design are adopted over the selected experimental region for the regression model. Finally, the Pearson system is adopted to decide the distribution type of the system performance function and to analyze structural reliability.