• Women's Health Nursing
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• v.22 no.3
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• pp.162-169
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• 2016

Purpose: This study was done to investigate the prevalence and factors affecting body shape misperception among Korean adult women. Methods: We analyzed raw data from the fourth Korean Longitudinal Survey of Women and Families, for 7,658 women over 20 years of age. For the multiple logistic regression model, the dependent variable was existence of misperception (yes/no). Results: The prevalence of body shape misperception was 42.6% (overestimation 6.5%, underestimation 36.1%). Multiple logistic regression analysis revealed that age, education level, marital status, economic status and BMI were significantly associated with body shape underestimation. Education level and BMI were significantly associated with body shape overestimation. Conclusion: An effective obesity intervention program for women must reflect and monitor body shape perception as well as BMI.

• Journal of the Korean Society of Propulsion Engineers
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• v.15 no.2
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• pp.8-14
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• 2011

In this paper, the combustion characteristics of hybrid rocket fuel with tapered grain port were investigated experimentally. The charging efficiency of convergent and divergent port shape fuel with $1^{\circ}$ taper angle was 6.8% higher than that of cylindrical port shape fuel. The regression rate was increased about 17.5% by using the convergent port shape fuel. On the other hand, in case of divergent port shape fuel, no notable difference of regression rate was observed when compared to that of the cylindrical port shape fuel. In the case of convergent port shape fuel, characteristic velocity and its efficiency were notably increased with respect to cylindrical port fuel. It was found that convergent port shape of hybrid rocket fuel can lead to a better option compared to the conventional cylindrical port in terms of combustion efficiency and performance improvement.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.26 no.4
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• pp.644-652
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• 2002

Increasing demands for Electric Resistance Welded pipes of high quality with thick wall require c lose investigations in edge deformation by slitting, strip deformation during break down farming, and difference of circumferential length. In order to obtain good quality of a welding zone, it is necessary to predict the edge shape of the initial strip. The modeling of the multi-pass thick tube roll forming process with rigid plastic finite element method ultra the edge shape prediction of an initial strip with 2nd-degree polynomial regression method are presented. Edge shapes of initial strip have been analyzed by the finite element method and designed by the regression method to satisfy the requirements in target fin pass. It is concluded that the proposed edge design method results in optimal edge shapes sat string the design requirements.

• Journal of International Society for Simulation Surgery
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• v.2 no.1
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• pp.7-9
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• 2015

Purpose In the many face-related application such as head pose estimation, 3D face modeling, facial appearance manipulation, the robust and fast facial feature extraction is necessary. We present the facial feature extraction method based on shape regression and feature selection for real-time facial feature extraction. Materials and Methods The facial features are initialized by statistical shape model and then the shape of facial features are deformed iteratively according to the texture pattern which is selected on the feature pool. Results We obtain fast and robust facial feature extraction result with error less than 4% and processing time less than 12 ms. The alignment error is measured by average of ratio of pixel difference to inter-ocular distance. Conclusion The accuracy and processing time of the method is enough to apply facial feature based application and can be used on the face beautification or 3D face modeling.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.26 no.12
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• pp.2556-2564
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• 2002

The design of airfoil had practiced by repeat tests in its first stage, though an airfoil has as been designed based on simulations according to techniques of computational fluid dynamics. Here, using of traditional optimization is unsuitable because a state of flux is hypersensitive to the shape of airfoil. Therefore the paper optimized the shape of airfoil in transonic region using a genetic algorithm (GA). Response surfaces are based on back propagation neural network (BPN) and regression model. Training data of BPN and regression model were obtained by computational fluid dynamic analysis using CFD-ACE, and each analysis has been designed by design of experiments.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.425-436
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• 2022

The purpose of this study was to examine the factors affecting subjective body shape perception among female university students. This research conducted a survey targeting 121 female university students. The collected data were analyzed by Pearson's Correlation, Multiple Regression using SPSS/Win 23.0. were identified as factors influencing on subjective body shape perception in female university students. As the results of regression analysis, sociocultural attitudes towards appearance, body cathexis, self-esteem, BMI demonstrated significant effects on subjective body shape perception. and these are significantly predicted 46.8% of subjective body shape perception. The factor of the greatest impact on subjective body shape perception is sociocultural attitudes towards appearance. In order to positively change body shape perception, it is necessary to help them perceive their body shape as it is, accept the actual body shape, and have a specific way to be satisfied with their body shape.

• Asia pacific journal of information systems
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• v.11 no.1
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• pp.61-73
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• 2001

Predicting a variable using other variables in a large data set is a very difficult task. It involves selecting variables to include in a model and determining the shape of the relationship between variables. Nonparametric regression such as smoothing splines and neural networks are widely-used methods for such a task. We propose an alternative method based on a genetic algorithm(GA) to solve this problem. We applied GA to regression splines, a nonparametric regression method, to estimate functional forms between variables. Using several simulated and real data, our technique is shown to outperform traditional nonparametric methods such as smoothing splines and neural networks.

• Korean Journal of Computational Design and Engineering
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• v.9 no.4
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• pp.306-314
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• 2004

This paper explains the qualitative shape representation scheme and general shape analysis procedure based on shape feature categories. It takes two different groups of architectural drawings as examples and comparer them so as to confirm that the procedure is capable of comparing one group with another. In order to verify the validity of qualitative shape representation scheme, we used statistical methods as well as symbolic representation and analysis techniques. This paper concludes that two different groups of architectural drawings of similar kind are analyzed to be distinguished and specifically characterized. 11 drawings of Kahn and 13 drawings of Aalto are taken into considerations. Linear regressions are used in characterizing the shape featural relationships.

• International Journal of Advanced Culture Technology
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• v.5 no.1
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• pp.17-25
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• 2017

The purpose of this study was to investigate the effects of self-identity on body shape management for college students. This study used descriptive research to analyze the effects of self-identity, which has contained factors of Subjectivity, Self-acceptance, Future Confidence, Goal Orientation, Scrupulous. The subjects were 404 college students located in C province who were voluntarily agreed. Multiple regression analysis was conducted to verify the effects on self - identity and body shape management. As a result, self - acceptance of self - identity' subcomponents had no effect on body shape management, but future confirmation, goal orientation, Scrupulous, intimacy affects body shape management(P < 0.001). Based on these results, in order to manage the body shape of college students, it is considered effective to present the visible goals and apply the programs that students can do themselves. In addition, it can be seen that it is effective to start body shape management during college group life to enhance intimacy.

• Communications for Statistical Applications and Methods
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• v.16 no.3
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• pp.463-477
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• 2009

Parameter estimation methods such as maximum likelihood estimation method, probability weighted moments method, regression method have been popularly applied to various extreme value models in numerous literature. Among three methods above, the performance of regression method has not been rigorously investigated yet. In this paper the regression method is compared with the other methods via Monte Carlo simulation studies for estimation of parameters of the Generalized Extreme Value(GEV) distribution and the Generalized Pareto(GP) distribution. Our simulation results indicate that the regression method tends to outperform other methods under small samples by providing smaller biases and root mean square errors for estimation of location parameter of the GEV model. For the scale parameter estimation of the GP model under small samples, the regression method tends to report smaller biases than the other methods. The regression method tends to be superior to other methods for the shape parameter estimation of the GEV model and GP model when the shape parameter is -0.4 under small and moderately large samples.