• Journal of Fashion Business
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• v.17 no.2
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• pp.33-45
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• 2013

A study using 3D virtual garment simulation is carried out for the evaluation and application on the pants fit for obese women in their age of 20s and 30s. The results are as follows; 5 obese women in their 20s and 30s were selected for the testing 3D body. They showed no significant differences in all items, comparing with the data of 5th Size Korea body dimensions. The average waist circumstance of the subjects' 3D body dimensions was 87.0cm, hip circumstance was 102.4cm, BMI was $27.1kg/m^2$, and their obese body types had similar mean values. Based on the detailed design of ready made pants and the study results of 20~30s obese women preference for pants design, pants of straight silhouette and semi-tight fit which have waist line lowered, no front dart and one back dart, were manufactured with 100% black cotton and cotton spandex mixed fabrics. When comparing the appearances between real garment and virtual garment, the average of the real garment with 100% cotton was 3.70 and the virtual garment was 4.05. The average of real garment with cotton spandex mixed fabrics was 3.75 and the virtual garment was 4.06. Therefore, the average of virtual garment was highly evaluated. When comparing the results of evaluating the appearance, there was no significant difference caused by materials between real garment and virtual garment. The expression for the ease of virtual garment and real garment was also similar for good evaluation. Thus, 3D virtual garment simulation did positively prove its reliability and effect.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.1
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• pp.167-173
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• 2011

Most of the terminologies used in medical domain is not intended to be applied directly in clinical setting but is developed to integrate the terms by defining the reference terminology or concept relations between the terms. Therefore, it is needed to develop the subsets of the terminology which classify categories properly for the purpose of use and extract and organize terms with high utility based on the classified categories in order to utilize the clinical terms conveniently as well as efficiently. Moreover, it is also necessary to develop and upgrade the terminology constantly to meet user's new demand by changing or correcting the system. This study has developed a mapping tool that allows accurate expression and interpretation of clinical terms used for medical records in electronic medical records system and can furthermore secure semantic interoperability among the terms used in the medical information model and generate common terms as well. The system is designed to execute both 1:1 and N:M mapping between the concepts of terms at a time and search for and compare various terms at a time, too. Also, in order to enhance work consistency and work reliability between the task performers, it allows work in parallel and the observation of work processes. Since it is developed with Java, it adds new terms in the form of plug-in to be used. It also reinforce database access security with Remote Method Invocation (RMI). This research still has tasks to be done such as complementing and refining and also establishing management procedures for registered data. However, it will be effectively used to reduce the time and expenses to generate terms in each of the medical institutions and improve the quality of medicine by providing consistent concepts and representative terms for the terminologies used for medical records and inducing proper selection of the terms according to their meaning.

• Journal of the Korea Fashion and Costume Design Association
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• v.6 no.3
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• pp.67-81
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• 2004

This research demonstrates clothing consumption values, fashion preferences of career women from the early 1920s to late 1930s. And having thorough understanding of values and preferences, allows us to establish marketing strategies for clothing companies. The main purpose of this study is (1) to formalize consumer group based upon the clothing consumption values, (2) to find for characteristics of consumer depending on classification of consumption value in clothing, (3) to understand the preferences of career women about fashion trends. Analyzing data was performed 292 copies, resulting factor analysis, Cluster analysis, X-test, Anova, Tukey test, t-test, frequency analysis, and reliability analysis. This paper showed 7 distinctive characteristics of career women about clothing consumption value. These characteristics can be listed as 1) value of brand image, 2) value of self-expression, 3) functional values, 4) epistemic values, 5) coordination values, 6) social values 7) psychological values. Importantly, brand image value became most significant aspects among 7 factors. Analyzing consumers based upon stated 7 factors, it was found that they are segregated into 4 groups; Self-expressive Group, Psychological Stability Group, Functional Group, Social Group. Secondly, for fashion trend preferences, self-expressive group, psychological stability group, and functional group favored Romantic Feminine Style respectively. Social Group showed preference in Nu-Basic'. The reason for such trend dealt with fabric materials and colors. Finally examining population statistics, younger generations showed more preferences in Nu-Basic', and consumers from ages of 26 to 28, 32 to 34 showed preferences in Romantic Feminine' regardless of their household income, clothing related expenditures, jobs, and education level. On the other hand, 'Modem Classic' was popular among college graduates and 'Paradise' was somewhat less popular among all ages except from ages of 32 to 34, consumers consumption 300,000Won to 400,000Won on clothing related expenditures. And 'Energy' seemed to attract more highly educated females, who had more than masters in degrees with over 300,000 to 400,000Won for clothing related expenditures.

• Structural Engineering and Mechanics
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• v.9 no.5
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• pp.449-467
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• 2000

The natural frequencies and the corresponding mode shapes of a non-uniform beam carrying multiple point masses are determined by using the analytical-and-numerical-combined method. To confirm the reliability of the last approach, all the presented results are compared with those obtained from the existing literature or the conventional finite element method and close agreement is achieved. For a "uniform" beam, the natural frequencies and mode shapes of the "clamped-hinged" beam are exactly equal to those of the "hinged-clamped" beam so that one eigenvalue equation is available for two boundary conditions, but this is not true for a "non-uniform" beam. To improve this drawback, a simple transformation function ${\varphi}({\xi})=(e+{\xi}{\alpha})^2$ is presented. Where ${\xi}=x/L$ is the ratio of the axial coordinate x to the beam length L, ${\alpha}$ is a taper constant for the non-uniform beam, e=1.0 for "positive" taper and e=1.0+$|{\alpha}|$ for "negative" taper (where $|{\alpha}|$ is the absolute value of ${\alpha}$). Based on the last function, the eigenvalue equation for a non-uniform beam with "positive" taper (with increasingly varying stiffness) is also available for that with "negative" taper (with decreasingly varying stiffness) so that half of the effort may be saved. For the purpose of comparison, the eigenvalue equations for a positively-tapered beam with five types of boundary conditions are derived. Besides, a general expression for the "normal" mode shapes of the non-uniform beam is also presented.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.293-301
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• 2019

The purpose of this study was to explore the relationship andinfluence of Focusing manner to deal with somatization symptoms of adolescents with experience of cyberbullying. For this study, we conducted on teenagers aged 14 to 19. A total of 366 of these results -84 men (23%) and 282 women(77%)- were used for the analysis. Data was analyzed through frequency analysis, reliability analysis, correlation analysis, and multiple regression analysis. As a result, cyber-bullying experiences have a positive effect on somatizaion symptoms. Among the sub-factors of focusing manner, "knowledge" and "reviewing" have a negative effect on somatizaion symptoms, and "expression" has an negative effect on somatizaion symptoms. Based on the results of the study, the need for a therapeutic approach to focusing manner was presented when appealing for somatizaion symptoms of adolescents who experienced cyberbullying.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.215-228
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• 2022

This paper aims to summarize and analyze the optical illusion designs in magazine advertisements. By giving questionnaires that compare print advertisements using the optical illusion design method and traditional print magazine advertisements without adopting the method, the paper performs a quantitative analysis of technical statistics along with a factor analysis of reliability and exploration using IBM SPSS 27.0. when designing through visual illusion expression methods, you can design from the perspective of visual impact and how the information contained in the product is expressed. While making full use of the characteristics of visual illusion, appropriate use of the combination of visual language and overall structure to maximize the brand The effectiveness of information transmission.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.603-607
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• 2004

The vision-based driver fatigue detection is one of the most prospective commercial applications of facial expression recognition technology. The facial feature tracking is the primary technique issue in it. Current facial tracking technology faces three challenges: (1) detection failure of some or all of features due to a variety of lighting conditions and head motions; (2) multiple and non-rigid object tracking and (3) features occlusion when the head is in oblique angles. In this paper, we propose a new active approach. First, the active IR sensor is used to robustly detect pupils under variable lighting conditions. The detected pupils are then used to predict the head motion. Furthermore, face movement is assumed to be locally smooth so that a facial feature can be tracked with a Kalman filter. The simultaneous use of the pupil constraint and the Kalman filtering greatly increases the prediction accuracy for each feature position. Feature detection is accomplished in the Gabor space with respect to the vicinity of predicted location. Local graphs consisting of identified features are extracted and used to capture the spatial relationship among detected features. Finally, a graph-based reliability propagation is proposed to tackle the occlusion problem and verify the tracking results. The experimental results show validity of our active approach to real-life facial tracking under variable lighting conditions, head orientations, and facial expressions.

• Journal of Fashion Business
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• v.17 no.6
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• pp.44-59
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• 2013

The modern people do express their personalities by appearance and actively use the appearance as the social tools, and the attractive appearance largely does influence the human relationship. As the appearance's importance is being magnified, the attractive appearance and favourable impression is an important standard for job performance and social position, and used as the way to reach the social goal. This study does investigate the design's kind and character of the beard which belongs to the male exclusive property and compare the differences of the impression's formation according to the beard design. The empirical results confirmed that the male beard design formated the various impressions according to the designs and their mutual relationship existed. Therefore, the beard is a symbol of maleness and an expression for the social position and personal character, whereas it possesses the very important meaning as the influencing factor on the impression's change. First, the pre stimuli were finished through the pre survey for composition of questionnaire in order to evaluate the impression after selection of experimental models and beard types for measuring instruments. Second, sixty three university students were surveyed by pre stimuli and questionnaire as pre experiment, and afterwards the measuring instruments and experimental design were revised. Third, the stimuli completed (nine beard designs) were intentionally well distributed as questionnaire by sex and ages in Seoul metropolitan and her environment. and the factorial analysis and the coefficient of Cronbach's ${\alpha}$ for reliability test were completed for questionnaire's validity using SPSS/PC+ Window Ver. 12.0.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.2 no.3
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• pp.53-60
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• 2009

The vision-based driver fatigue detection is one of the most prospective commercial applications of facial expression recognition technology. The facial feature tracking is the primary technique issue in it. Current facial tracking technology faces three challenges: (1) detection failure of some or all of features due to a variety of lighting conditions and head motions; (2) multiple and non-rigid object tracking; and (3) features occlusion when the head is in oblique angles. In this paper, we propose a new active approach. First, the active IR sensor is used to robustly detect pupils under variable lighting conditions. The detected pupils are then used to predict the head motion. Furthermore, face movement is assumed to be locally smooth so that a facial feature can be tracked with a Kalman filter. The simultaneous use of the pupil constraint and the Kalman filtering greatly increases the prediction accuracy for each feature position. Feature detection is accomplished in the Gabor space with respect to the vicinity of predicted location. Local graphs consisting of identified features are extracted and used to capture the spatial relationship among detected features. Finally, a graph-based reliability propagation is proposed to tackle the occlusion problem and verify the tracking results. The experimental results show validity of our active approach to real-life facial tracking under variable lighting conditions, head orientations, and facial expressions.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.1
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• pp.67-75
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• 2011

This paper presents a new test technique for evaluating performance of vehicle detectors with interval estimation, not the conventional point estimation, for presenting statistical confidence interval. The methodology is categorized into three parts; sampling plan, analysis on the characteristic of evaluation indices, and the expression of evaluation results. Even though many statistical sampling plans exist, stratified random sampling is regarded as the most appropriate one, considering the detector performance characteristics that varies with traffic, illumination, and meteorological conditions. No magic bullet exists for evaluation index for detector evaluation, hence the characteristics of evaluation indices were thoroughly analyzed and a reasonable process for choosing the best evaluation index is proposed. Finally, the methodology to express the result of detector evaluation for the entire evaluation period and individual analysis interval is represented, respectively. To overcome the existing drawbacks in point estimation, interval estimation by which statistical confidence interval can be represented is introduced for enhancing statistical reliability of traffic detector evaluation. This research can make vehicle detector scheme improve one step forward.