• Journal of Korean Academy of Fundamentals of Nursing
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• v.19 no.3
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• pp.374-382
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• 2012

Purpose: The study was done to influence of family function and degree of depression on impulsive behavior in adolescents. Method: Using convenience sampling 780 adolescents were recruited from October 29 and November 9, 2011. Data were collected using self-report questionnaires which included items on general characteristics, family function, depression, and impulsive behavior. Data were analyzed using t-test, ANOVA, Scheffe test, Pearson Correlation Coefficient, and hierarchical regression analysis. Results: The major findings of this study were as follow; 1) There was a significant negative relationship between family function and impulsive behavior (r=-.236, p<.001) and a positive relationship between depression and impulsive behavior (r=.342, p<.001). 2) Factors with a significant negative association with impulsive behavior were higher school records (${\beta}$=-.112, p<.001) and family function: positive resolution of family problems (${\beta}$=-.213, p=.008), while a significant positive association was found for unsatisfactory school life (${\beta}$=.103, p=.016), family function: emotional reactivity (${\beta}$=.159, p=.028), and depression (${\beta}$=.301, p<.001). These variables explained 20.1% of variance for impulsive behavior. Conclusion: The results of this study identify a relationship between family function, depression, and impulsive behavior in adolescents indicating variables to be addressed to reduce impulsive behavior. These variables can be used in developing intervention programs.

• Journal of the Korean Professional Engineers Association
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• v.16 no.4
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• pp.4-14
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• 1983

when one is designing a continuous bridge with variable cross sections, it is very troublesome to integrate explicitly load terms and various factor under consideration so that it has different moment of inertia at each cross section. In this paper to obtain the influence line of a arbitary-span continuous beam with variable cross sections, the value of some particular function due to a load at any point can be carried out by numerical integration instead of definite integral. The ordinate of the influence line equals the product of the magnitude of the final moment at each support due to unit moment at any support and the load terms due to unit load, measured at the point of application of the load. It is concluded that this method can be easily used to design continuous bridges with arbitary cross sections.

• Structural Engineering and Mechanics
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• v.45 no.5
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• pp.595-611
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• 2013

This paper aims to compare three collocation point methods associated with the odd order stochastic response surface method (SRSM) in a systematical and quantitative way. The SRSM with the Hermite polynomial chaos is briefly introduced first. Then, three collocation point methods, namely the point method, the root method and the without origin method underlying the odd order SRSMs are highlighted. Three examples are presented to demonstrate the accuracy and efficiency of the three methods. The results indicate that the condition that the Hermite polynomial information matrix evaluated at the collocation points has a full rank should be satisfied to yield reliability results with a sufficient accuracy. The point method and the without origin method are much more efficient than the root method, especially for the reliability problems involving a large number of random variables or requiring complex finite element analysis. The without origin method can also produce sufficiently accurate reliability results in comparison with the point and root methods. Therefore, the origin often used as a collocation point is not absolutely necessary. The odd order SRSMs with the point method and the without origin method are recommended for the reliability analysis due to their computational accuracy and efficiency. The order of SRSM has a significant influence on the results associated with the three collocation point methods. For normal random variables, the SRSM with an order equaling or exceeding the order of a performance function can produce reliability results with a sufficient accuracy. The order of SRSM should significantly exceed the order of the performance function involving strongly non-normal random variables.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.13 no.2
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• pp.249-256
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• 2006

Purpose: To investigate the influence of clinical and demographical variables on depression, instrumental activities of daily living (IADL), and cognitive function in patients with Parkinson's disease. Method: Using a structured questionnaire data were collected from 100 participants registered in the neurology department of C university hospital. Duration and stage of disease, fall history, vision impairment, duration and quality of sleep, orthostatic hypotension, ambulation impairment, and use of walking aid were included in clinical variables. Depression, IADL, and cognitive function were assessed using Kee's GDSSF-K, Cho's scale, and K-MMSE. Collected data were analyzed using the SAS program. Results: The depression score for the participants was 7.78, higher than cut-off score(5). Participants who were male, living with spouse, above high school education, high economic status, with no vision impairment, and no ambulation impairment revealed high cognitive scores. Average IADL score were significantly higher for participants who were male, who had high economic status, low stage of disease, and no ambulation impairment. Depression IADL & cognitive function scores were significantly different according to ambulation impairment. Scores for ADL and cognitive function were positively correlated. Conclusion: It is recommended that make programs for patients with Parkinson's disease, clinical and demographic variables should be considered according to their individual needs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1317-1328
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• 2009

As a study on how the Neurofeedback training effects on young children's brain function and intelligence, first, this paper aims to verity the effect Neurofeedback training brings to the function of young children's brain. Second, through K-WPPSI IQ test, analyses how Neurofeedback training influences on the development of young children's intelligence. The subjects of this study were the 60 five-year children attenging J kindergarten in Cheon-an, experimnet treatment was performed according to Neurofeedback training guidance from Aprile 21 to December 12, 2008. It analyzes the states of brain waves before and after the Neurofeedback training, and performed the statistical analysis through t-test, using SPSS for Window(V.13.0) package. As a result of analysis, it was shown that firstly Neurofeedback training was very effective on the d!evelopment of infan's brain intelligence, since the quotient to evaluate the entire brain function appeared to have a meaningful influence. Secondly, it was proved that Neurofeedback training had much influence on the object assembly-area, the maze-area, and picture completion-area, and that it had the same influence on the performance intelligence quotient too. So, such results as these one make us realize that Neurofeedback training is a very effective method to the development of performance intelligence quotient. Thirdly, they indicate that Neurofeedback training hasn't a meaningful influence on verbal intelligence quotient, since it affects only on the similarities area among verbal intelligence quotient, the total evaluative quotient.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.1 s.94
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• pp.191-199
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• 1999

In designing the tracking system of an optical disc drive, it is first necessary to eliminate the undesired influence of any visible mechanical vibrations. In this paper a geometrical method to analyze the frequency response of an elastically supported planar rigid body has been presented. Using the theory of screw, a geometrical expression of a compliant transfer function which describes the effects of the locations of an applied force and observation on the response has been derived. Applying the substructure synthesis method, a technique to stabilize the tracking mechanical system has been presented with a numerical example.

• Journal of the Korean Data and Information Science Society
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• v.7 no.2
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• pp.257-262
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• 1996

When we are estimate the smoothing parameter in spline regression model, we deal the diagnostic of influence observations as posteriori analysis. When we use Generalized Maximum Likelihood Function as the estimation method of smoothing parameter, we propose the diagnostic measure for influencial observations in the obtained estimate, and we introduce the finding method of the proper smoothing parameter estimate.

• Journal of Mechanical Science and Technology
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• v.19 no.2
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• pp.625-633
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• 2005

A finite element vibration analysis of thin-walled cylindrical shells conveying fluid with uniform velocity is presented. The dynamic behavior of thin-walled shell is based on the Sanders' theory and the fluid in cylindrical shell is considered as inviscid and incompressible so that it satisfies the Laplace's equation. A beam-like shell element is used to reduce the number of degrees-of-freedom by restricting to the circumferential modes of cylindrical shell. An estimation of frequency response function of the pipe considering of the coupled effects of the internal fluid is presented. A dynamic coupling condition of the interface between the fluid and the structure is used. The effective thickness of fluid according to circumferential modes is also discussed. The influence of fluid velocity on the frequency response function is illustrated and discussed. The results by this method are compared with published results and those by commercial tools.

• Computational Structural Engineering
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• v.10 no.1
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• pp.173-183
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• 1997

In this paper a method is suggested for the probabilistic analysis of impact buckling failure time of cylinder with random axisymmetric geometric imperfection under axial impact. Failure is assumed as axisymmetric radial deformation exceeds the given criteria for the first time. For the generation of random geometric initial imperfection, random field theory by mean function and autocorrelation function of geometric imperfection is used. Suggested method is useful for the treatment of the randomness of realistic geometric imperfection and can be used for the structural safety analysis of cylinder considering its effect.

• Journal of Electrical Engineering and Technology
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• v.12 no.5
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• pp.1945-1954
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• 2017

In recent years, several LCL filter design methods for different converter topologies have been published, many of which use analytical expressions to calculate the ideal converter AC voltage harmonic spectrum. This paper presents the LCL filter design methodology but the focus is on presentation and validation of the non-iterative filter design method for a grid-connected three-phase two-level PWM-VSC. The developed method can be adapted for different converter topologies and PWM algorithms. Furthermore, as a starting point for the design procedure, only the range of PWM carrier frequencies is required instead of an exact value. System nonlinearities, usually omitted from analysis have a significant influence on VSC AC voltage harmonic spectrum. In order to achieve better accuracy of the proposed procedure, the system nonlinear model is incorporated into the method. Optimal filter parameters are determined using the novel cost function based on higher frequency losses of the filter. An example of LCL filter design for a 40 kVA grid-connected PWM-VSC has been presented. Obtained results have been used to construct the corresponding laboratory setup and measurements have been performed to verify the proposed method.