• Journal of Broadcast Engineering
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• v.28 no.3
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• pp.293-301
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• 2023

Unstandardized medical data collection and management are still being conducted manually, and studies are being conducted to classify CT data using deep learning to solve this problem. However, most studies are developing models based only on the axial plane, which is a basic CT slice. Because CT images depict only human structures unlike general images, reconstructing CT scans alone can provide richer physical features. This study seeks to find ways to achieve higher performance through various methods of converting CT scan to 2D as well as axial planes. The training used 1042 CT scans from five body parts and collected 179 test sets and 448 with external datasets for model evaluation. To develop a deep learning model, we used InceptionResNetV2 pre-trained with ImageNet as a backbone and re-trained the entire layer of the model. As a result of the experiment, the reconstruction data model achieved 99.33% in body part classification, 1.12% higher than the axial model, and the axial model was higher only in brain and neck in contrast classification. In conclusion, it was possible to achieve more accurate performance when learning with data that shows better anatomical features than when trained with axial slice alone.

• Fashion & Textile Research Journal
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• v.21 no.1
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• pp.59-66
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• 2019

The purpose of this study was to develop slacks pattern of elderly women aged over 60s by using the virtual twin and 3D virtual garment simulation system. The results were as follows; first, By using 3D Virtual Garment Simulation, new slacks pattern considered elderly women was development. The basic numerical formula were as follows, front waist girth W/4+2+1.5, back waist girth W/4+1.5+0.5, front hip girth H/4+0.75, back hip girth H/4+1.5, front crotch extension H/16-0.5, back crotch extension H/8-1.3, front dart amount 2 and back dart amount 1.5. Second, according to the results of the new slacks pattern's appearance evaluation, it estimated more highly than existing pattern in silhouette and ease amount, confirming that new slacks pattern is appropriate for the elderly women. Also, new slacks pattern was evaluated to allow proper space length of waist, abdomen and hip. Virtual models production through 3D body scan data, pattern draft and virtual garment digital program were applied to prototypic design method so as to enhance the fitness of ready-made garments. The use of the virtual twin made it impossible to comprehend the appearances and ease correspondent to motions. In order to evaluate wearing fitness, therefore, the system should be improved so as to change arm positions and perform various motions.

• The Research Journal of the Costume Culture
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• v.14 no.1
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• pp.40-47
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• 2006

Three-dimensional body scanners were used for years in the clothing manufacturing fields. The 3D body surface provide essential data to draft patterns for mass customization, virtual fit model, and computerized patternmaking systems. This research proposed the methods of drafting patterns for men's jacket by using three dimensional body scan data. Eight male subjects were scanned, the surface data was flattened. The differentials of the flattened body surface and the jacket draft were measured, and analyzed the regressions. To verify the fit of the patterns, the jacket was constructed by the regression formulae and tested by experts. The fit of the jacket were significantly improved rather than a ready-made suit especially the shoulder areas. This means that the methods that we proposed were good to improve the fit of the garments and could be used effectively to implement mass customization strategies in the apparel retail industry.

• Journal of the Ergonomics Society of Korea
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• v.30 no.6
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• pp.715-725
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• 2011

Objective: This study is aimed at developing Articulated Human Models(AHM) using superquadrics to improve the geometric accuracy of the body shape. Background: The previous work presents the AHM with geometrical simplification such as ellipsoids to improve analysis efficiency. However, because of the simplicity, their physical properties such as a center of mass and moment of inertia are computed with errors compared to their actual values. Method: This paper introduces a three steps method to present the AHM with superquadrics. First, a 3D whole body scan data are divided into 17 body segments according to body joints. Second, superquadric fitting is employed to minimize the Euclidean distance between body segments and superquadrics. Finally, Fee-Form Deformation is used to improve accuracy over superquadric fitting. Results: Our computational experiment shows that the superquadric models give better accuracy of dynamic analysis than that of ellipsoid ones. Conclusion: We generate the AHM composed of 17 superquadrics and 16 joints using superquadric fitting. Application: The AHM using superquadrics can be used as the base model for dynamics and ergonomics applications with better accuracy because it presents the human motion effectively.

• Fashion & Textile Research Journal
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• v.12 no.3
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• pp.347-353
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• 2010

The purpose of this study was to examine the appropriate surplus of clothing for a suitable basic bodice pattern of Male Sports Athletes by using the 3D virtual twin and virtual garment simulation system. The results were as follows; 1. By using 3D virtual twin and garment simulation, new bodice pattern considered male sports athletes was development. The basic numerical formula were as follows ; surplus of chest girth=9, surplus of back length=1, armhole depth=back length/4+13, half back width=chest girth/5+2.5, front chest width=chest girth/5+3. 2. Wearing test by 3D virtual garment simulation system was useful to evaluate wearing outline, surplus of clothes and garment space. Also it estimated more highly than existing pattern in silhouette and ease amount, confirming that new bodice pattern is appropriate for the male sports athletes. New bodice pattern was evaluated to allow proper space length of chest and waist. Virtual models production through 3D body scan data, pattern draft and virtual garment digital program were applied to prototypic design method so as to enhance the fitness of ready-made garments. This study is expected to serve as one of important basic data for ensuing studies that may utilize 3D Virtual Garment Simulation System with 2D patterns, and also for future 3D Pattern Production Program development.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.6
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• pp.799-808
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• 2013

Previous research reported that body size measured as Body Mass Index (BMI) and body shape measured as waist-hip-ratio (WHR) are two essential factors that form the perceptions of body attractiveness. However, the debate on the importance of BMI versus WHR is ongoing. In addition, scholarly articles, that focus on the role of geographic and cultural variability on perceptions of attractiveness, report inconsistent results. Some suggested that according to globalization and the rise of mass media, geographic variability of perceptions of attractiveness have been altered, while others believed that it remains. This study cross-regionally investigates the role of body size and body shape on the perceptions of female attractiveness. Samples were composed of 107 female college students in Alabama and 107 female college students in California. Participants viewed 27 three-dimensional body scan images of women in three body shapes (pear, hourglass, and rectangle) and three body sizes (underweight, normal weight, and overweight) and rated their perceptions of attractiveness. Images were shown to students in a random order with an overhead projector and Microsoft Office PowerPoint software. A three-way mixed-ANOVA was conducted to analyze the data. The results of the study showed that some regional differences exist between the two sample groups. However, regardless of the regional difference, hourglass shapes were perceived to be the most attractive shape and underweight sizes were perceived to be the most attractive size for both samples.

• Fashion & Textile Research Journal
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• v.14 no.1
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• pp.83-89
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• 2012

Recent rapid development of computer, information communication and Web service technologies is exerting considerable effects on all industrial areas. As such digital technologies are also introduced to the clothing and fashion industry and create 'virtual garment environment' consisting of 3D virtual bodies, virtual garments and virtual try-on systems, consumers are now able to try virtual garments on their virtual body online. This study was conducted in order to analyze consumers' tendency of clothing purchase using 3D virtual simulation technology, which is increasing attention throughout the world, and to propose strategies on the development of virtual try-on technology for activating apparel online shopping. The subjects of this study were men and women aged 18 or older living in the North Carolina State, U.S., and a questionnaire survey was conducted with them on their tendency of apparel online shopping and their preference for real garments and virtual garments. According to the results of this study, consumers' awareness of apparel shopping using virtual try-on was still low. Moreover, in the results of surveying consumers' purchase preference for real garments and virtual garments, preference was highest for real garment (P), which was followed by virtual garments OA, OB and BB. Based on the results of this study, for the activation of apparel online shopping using virtual simulation technology, it is considered necessary to provide services implementing virtual try-on similar to consumers' actual try-on. This requires further active research and technology development on virtual try-on simulation using digital technologies.

• Progress in Medical Physics
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• v.32 no.2
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• pp.40-49
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• 2021

Purpose: This study aimed to develop a surface-guided radiosurgery system customized for a neurosurgery clinic that could be used as an auxiliary system for improving the accuracy, monitoring the movements of patients while performing hypofractionated radiosurgery, and minimizing the geometric misses. Methods: RGB-D cameras were installed in the treatment room and a monitoring system was constructed to perform a three-dimensional (3D) scan of the body surface of the patient and to express it as a point cloud. This could be used to confirm the exact position of the body of the patient and monitor their movements during radiosurgery. The image from the system was matched with the computed tomography (CT) image, and the positional accuracy was compared and analyzed in relation to the existing system to evaluate the accuracy of the setup. Results: The user interface was configured to register the patient and display the setup image to position the setup location by matching the 3D points on the body of the patient with the CT image. The error rate for the position difference was within 1-mm distance (min, -0.21 mm; max, 0.63 mm). Compared with the existing system, the differences were found to be as follows: x=0.08 mm, y=0.13 mm, and z=0.26 mm. Conclusions: We developed a surface-guided repositioning and monitoring system that can be customized and applied in a radiation surgery environment with an existing linear accelerator. It was confirmed that this system could be easily applied for accurate patient repositioning and inter-treatment motion monitoring.

• Korean Journal of Computational Design and Engineering
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• v.13 no.6
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• pp.450-458
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• 2008

Recently, Cartesian grid approach has been popular to generate grid meshes for complex geometries in CFD (Computational Fluid Dynamics) because it is based on the non-body-fitted technique. This paper presents a method of an octree generation and boundary cell clipping using section curves for fast octree generation and elimination of redundant intersections between boundary cells and triangles from 3D triangular mesh. The proposed octree generation method uses 2D Scan-Converting line algorithm, and the clipping is done by parameterization of vertices from section curves. Experimental results provide octree generation time as well as Cut-cell clipping time of several models. The result shows that the proposed octree generation is fast and has linear relationship between grid generation time and the number of cut-cells.

• Journal of the Korean Society of Costume
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• v.64 no.4
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• pp.106-117
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• 2014

The purpose of this study is to provide basic information for the development of well-fitting and comfortable brassieres for women in their 30s, based on the classification of breast shapes by utilizing 3D body measurement data of women in the age group. The result of processing the measurements from the 3D body scan data through RapidForm 2006 shows that while the vertical body measurements decrease, the horizontal measurements, which indicates the degree of obesity, increase proportionally with age. Also, the relevant measurements for upper breasts increase proportionally with age, while the measurements for lower part of the breasts decrease as the degree of sagging increases. Four composition factors of the breasts were identified through the factor analysis: Factor 1 is the level of volume in the breasts and the surrounding area; Factor 2 is the position of nipples and the shape of upper part of breasts; Factor 3 is the position and vertical length of the breasts; Factor 4 is the shape of lower part of breasts; and Factor 5 is the shape of inner part of breasts and degree of width between both breasts. The breasts have been categorized into three distinctive shapes: Breast Shape 1, Breast Shape 2 and Breast Shape 3. According to the results of the cluster analysis, the largest percentage (36.68%) of women in their 30s falls into the category of Breast Shape 2 with small volume and flat upper breasts, followed by Breast Shape 1 (32.66%) with large volume in the upper and lower parts of breasts, and large side to side area, and Breast Shape 3 (30.65%) with average volume and width between breasts.