• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.643-655
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• 2022

The purpose of this study was to verify the moderating effect of parental learning involvement in the effect of adolescents' time management ability on face-to-face and non-face-to-face learning flow. The participants were 363 middle and high school adolescents, and data were collected through an online survey. The main statistical analysis methods were ANOVA, correlation analysis, and regression analysis. The major findings were as follows. First, learning flow was significantly higher in the face-to-face class than in the non-face-to-face class. Second, there was a statistically significant positive correlation among time management ability, parental involvement in learning, and learning flow. Third, in the effect of time management ability on face-to-face learning flow, the moderating effect of parental learning involvement was statistically significant. Fourth, in the effect of time management ability on non-face-to-face learning flow, the moderating effect of parental learning involvement was statistically significant. In other words, the higher the positive parental involvement in learning, the stronger the effect of adolescents' time management ability on learning flow. Finally, the importance of positive parental involvement for the improvement of adolescents' learning flow and methods of enhancing time management ability were discussed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.3
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• pp.542-548
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• 2006

In this paper, we propose a face region detection/verification method using wavelet packet analysis and structural statistic for frontal human color image. The method extracts skin color lesions from input images, first. and then applies spatial restrictive conditions to the region, and determines whether the region is face candidate region or not. In second step, we find eye region in the face candidate region using structural statistic for standard korean faces. And in last step, the face region is verified via wavelet packet analysis if the face torture were satisfied to normal texture conditions.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.6
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• pp.930-940
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• 2019

This study analyzes the facial data required for sheet design in order to pursue the facial compatibility of disposable sheets used in facial mask products that are increasing in popularity as self-care methods. The subjects of the study were 23 facial measurements of 1,001 women in their 20s to 60s from Size Korea's 6th 3D data. Through factor analysis, sheet-related facial measurements were collected into six factors included in the vertical length of each part of the face: length of face surface from the ear to each part of the face, width of eyes, nose, lips, length of nose, vertical length of lower face, width of the head and width of chin. Three sheet face types were classified using six factor scores as variables, and the characteristics of each type differed according to age group. As a result of the discriminant analysis to identify the dimension items that classify the three cluster types, 12 contributing items were extracted out of 23 items. This study provides useful information and data for further studies of products requiring facial fitness.

• Geomechanics and Engineering
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• v.17 no.1
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• pp.97-107
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• 2019

Based on the results of Han et al. (2016), in the failure zone ahead of the tunnel face it can be obviously identified that a shear failure band occurs in the lower part and a pressure arch happens at the upper part, which was often neglected in analyzing the face stability of shield tunnel. In order to better describe the collapse failure feature of the tunnel face, a new improved failure mechanism is proposed to evaluate the face stability of shield tunnel excavated in layered soils in the framework of limit analysis by using spatial discretization technique and linear interpolation method in this study. The developed failure mechanism is composed of two parts: i) the rotational failure mechanism denoting the shear failure band and ii) a uniformly distributed force denoting the pressure arch effect. Followed by the comparison between the results of critical face pressures provided by the developed model and those by the existing works, which indicates that the new developed failure mechanism provides comparatively reasonable results.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.6
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• pp.797-803
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• 2014

In this paper, 3D face recognition system is designed by using polynomial based on RBFNNs. In case of 2D face recognition, the recognition performance reduced by the external environmental factors such as illumination and facial pose. In order to compensate for these shortcomings of 2D face recognition, 3D face recognition. In the preprocessing part, according to the change of each position angle the obtained 3D face image shapes are changed into front image shapes through pose compensation. the depth data of face image shape by using Multiple Point Signature is extracted. Overall face depth information is obtained by using two or more reference points. The direct use of the extracted data an high-dimensional data leads to the deterioration of learning speed as well as recognition performance. We exploit principle component analysis(PCA) algorithm to conduct the dimension reduction of high-dimensional data. Parameter optimization is carried out with the aid of PSO for effective training and recognition. The proposed pattern classifier is experimented with and evaluated by using dataset obtained in IC & CI Lab.

• Korean Journal of Computational Design and Engineering
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• v.13 no.6
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• pp.403-411
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• 2008

The alignment of facial images is crucial for 2D face recognition. This is the same to facial meshes for 3D face recognition. Most of the 3D face recognition methods refer to 3D alignment but do not describe their approaches in details. In this paper, we focus on describing an automatic 3D alignment in viewpoint of quantitative analysis. This paper presents a framework of 3D face alignment and normalization based on feature points obtained by Active Shape Models (ASMs). The positions of eyes and mouth can give possibility of aligning the 3D face exactly in three-dimension space. The rotational transform on each axis is defined with respect to the reference position. In aligning process, the rotational transform converts an input 3D faces with large pose variations to the reference frontal view. The part of face is flopped from the aligned face using the sphere region centered at the nose tip of 3D face. The cropped face is shifted and brought into the frame with specified size for normalizing. Subsequently, the interpolation is carried to the face for sampling at equal interval and filling holes. The color interpolation is also carried at the same interval. The outputs are normalized 2D and 3D face which can be used for face recognition. Finally, we carry two sets of experiments to measure aligning errors and evaluate the performance of suggested process.

• Journal of the Korea Society of Computer and Information
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• v.21 no.3
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• pp.47-56
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• 2016

Recently many small and mid-sized hospitals are closing down or experiencing financial difficulties. As a result, in order to provide exceptional service that would increase their competitiveness, they implemented telemedicine service for the prescription of medicine necessary before a colonoscopy. This study is an analysis of how telemedicine service affects patient satisfaction. Through the focus group interview (FGI) of medical service providers, regarding telemedicine service and face-to-face service, it was appraised that telemedicine service was more effective than face-to-face service. Afterward, a second survey aimed at endoscopy patients was conducted in order to find out the value of telemedicine service. First, through the analysis of the three main factors of telemedicine service, conclusions were drawn(safety/reliability, convenience/rapidity, and economics). A follow-up analysis showed that convenience/rapidity had the greatest effect on telemedicine service satisfaction. Next the factors of the quality of medical service were analyzed and 3 main factors were deduced (the superiority of the external and internal environments/appropriateness, superiority of the medical team, telemedicine service). A follow-up analysis found that telemedicine service had the greatest effect on patient satisfaction. This study found that providing exceptional medical service that utilizes telemedicine service would improve patient satisfaction. Therefore, we would be able to form a strategic plan that would strengthen the competitiveness of small and mid-sized hospitals.

• The Research Journal of the Costume Culture
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• v.17 no.2
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• pp.189-202
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• 2009

The purpose of this study was to examine the effect of social-face sensitivity, conspicuous consumption, and preference of luxury fashion goods on purchasing behavior of fashion counterfeits. The questionnaire was administered to 600 women in their teens to thirties in Gwangju. The data from 519 participant were analyzed using the SPSS 14.0 Package. Frequency, factor analysis, regression analysis and path analysis were used to analysis the data. The results indicate that social-face sensitivity, conspicuous consumption and the preference of luxury fashion goods has significant effect on purchasing behavior of fashion counterfeits respectively. The direct effect of social-face sensitivity on purchasing behavior of fashion counterfeits was somewhat stronger than the indirect effect of social-face sensitivity on purchasing behavior of fashion counterfeits through conspicuous consumption and preference of fashion luxury goods.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.35C no.10
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• pp.48-58
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• 1998

We present a method that can recognize face images using independent component analysis that is used mainly for blind sources separation in signal processing. We assumed that a face image can be expressed as the sum of a set of statistically independent feature images, which was obtained by using independent component analysis. Face recognition was peformed by projecting the input image to the feature image space and then by comparing its projection components with those of stored reference images. We carried out face recognition experiments with a database that consists of various varied face images (total 400 varied facial images collected from 10 per person) and compared the performance of our method with that of the eigenface method based on principal component analysis. The presented method gave better results of recognition rate than the eigenface method did, and showed robustness to the random noise added in the input facial images.

• The Research Journal of the Costume Culture
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• v.22 no.6
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• pp.979-996
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• 2014

The purpose of this study is to identify the antecedents of fashion consciousness. As antecedents, psychological variables and consumption-related variables were considered. Materialism and change seeking were included as psychological variables, and face conscious consumption, status consumption, and shopping enjoyment were included as consumption-related variables. It was hypothesized that materialism and change seeking not only influence fashion consciousness directly but also indirectly through face conscious consumption, status consumption, and shopping enjoyment. Data were gathered by surveying university students in Seoul, using convenience sampling. Three hundred five questionnaires were used in the statistical analysis. SPSS was used for exploratory factor analysis, and AMOS was used for confirmatory factor analysis and path analysis. The results showed that all the fit statistics for the variable measures were quite acceptable. In addition, the overall fits of the model suggest that the model fits the data well. The hypothesized relationship test proved that materialism directly influence fashion consciousness and that materialism and change seeking influence fashion consciousness indirectly through face conscious consumption and shopping enjoyment. Regarding their relative importance on fashion consciousness, shopping enjoyment was the most influential factor followed by materialism and face conscious consumption, in that order. In developing and implementing marketing strategies for fashion conscious consumers, marketers should focus on satisfying shopping enjoyment, materialism and face conscious consumption.