• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.3
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• pp.440-458
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• 2019

Based on a 3D body data and pattern comparison analysis, this study developed a formal jacket pattern for men in their late 30s. In order to select the representative type of men in their late 30s, factor analysis and cluster analysis were conducted on data form 319 men, 35 to 39 years old using the anthropometric data from The 7th Size Korea (2015) as the representative body type. The surface of the body surface was developed using a 3D human shape of a male in his 30s in The 6th Size Korea (2010). Then the shape was changed to a flat pattern that confirmed the necessary elements for setting the shape and dimension. Cluster analysis revealed type B as the representative type because it showed the best shape characteristics for men in the late 30s. The drafting method of the final research pattern is as follows. Jacket length: stature/2.5cm, back length: stature/5+8.5cm (constant)], armhole depth: [stature/ 7-1.5cm (constant)], back width: [C/9+9.5cm (constant)]+1cm (ease), front width: [C/9+8.5cm (constant)]+1cm (ease), armscye depth: C/8, front waist darts: 1cm, front closure amount: 2cm.

• Journal of the Korea Fashion and Costume Design Association
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• v.13 no.4
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• pp.79-91
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• 2011

This study divided school age by considering a change in the stage of body growth by age in elementary schoolgirls with the use of body scan data, and considered by comparing body size characteristics by school age. Elementary schoolgirls' body shape cannot be divided clearly. However, ages 7-10 were bound into the same group for the majority of girth, width, and thickness items. 7-8 years old, 9-10 years old, and 11-12 years old were bound into the same group in most items except ages 9 and 10 for the height item. Thus, significant difference was indicated between groups. Accordingly, this study divided the school age into three periods such as early stage(ages 7-8), middle stage(ages 9-10), and late stage(ages 11-12) in consideration of the stages for elementary schoolgirls' body-shape growth. As a result of analyzing body size according to division of school age, the higher school age leads to continuous growth. The notable growth was indicated especially in the middle stage and late stage. Examining centering on typical items related to the clothing construction, there was notable increase in waist thickness and hip thickness between early and middle stages and in height, weight, breast girth, waist circumference, back length, breast width, and waist width between middle and late stages. On the other hand, hip circumference, hip width, breast thickness, and length between shoulder edges were indicated to grow relatively and evenly among early, middle, and late stages. The lateral form was shown a clear difference in the forms of early, middle, and late stages in height and length of the whole body shape and in side thickness. The early and middle stages belong to body shape that abdomen is projected to be curved. The late stage showed right body shape which is straight and stable form in posture.

• Korean Journal of Human Ecology
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• v.23 no.5
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• pp.891-904
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• 2014

The objective of this study is to classify somatotypes of back-surface shape of women in their late 20s by using 3D body scan data(Size Korea 2010) in order to improve fitness of Hanbok Jeogori. The results were as follows: 1. According to the in-depth survey of the experienced expert's interview, most problems related to the fit were caused by the back area of Jeogori. 2. The result of factor analysis indicated that 6 factors were extracted and those factors comprised 82.85% of total variance. 3. According to the cluster analysis, back somatotypes of women in their late 20s were categorized by two types : straight type(54.1%) and bending type(46.9%). The results could be used as the Hanbok Jeogori to improve the fitness of back-surface shape.

• Fibers and Polymers
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• v.7 no.2
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• pp.195-202
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• 2006

Tight-fitting clothing pattern reflecting the accurate information of the 3D body shape has been one of the challenges for garment industry, however, fitting problems still exist. The objectives of the paper is to develop a 2D pattern which fits tightly to the 3D human scan data for sports suits that need comfort and function for maximum performance. In this study, the user graphic interface application software for the semi-automatic garment pattern generation has been implemented using the triangle simplification scheme together with 2D projections of free-falling of 3D surface polygons keeping the original 3D surface area preservation. A typical application of the developed pattern to the functional body suits is presented and verification of the proposed method is also provided.

• Childhood Kidney Diseases
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• v.19 no.2
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• pp.131-135
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• 2015

Purpose: The aim of this study was to establish a simple formula to predict renal length in children using a Technesium-99m dimercaptosuccinic acid (DMSA) scan data, and to compare it with the formula derived from ultrasonography, which is widely accepted. Methods: Children who underwent a DMSA scan and ultrasonography were reviewed retrospectively, and those who had anatomical urinary tract abnormalities or urinary tract infections were excluded. Results: A total of 230 children (84 males and 146 females; age, 1 month to 16 years; mean age, $16.8{\pm}27.4$ months). Mean renal length measured by DMSA scan was longer than that by ultrasonography ($6.38{\pm}1.16$ vs. $6.02{\pm}1.14cm$; P < 0.001). Renal length was correlated with age, weight, height, and body surface area on the DMSA scan and ultrasonography, and showed the strongest positive correlation with height. The following formulae were established to predict renal length: mean renal length (cm) = 5.433 ${\times}$ height (m) + 2.330 (R2, 0.833) using the DMSA scan data, and mean renal length (cm) = 5.367 ${\times}$ height (m) + 2.027 (R2, 0.853) using ultrasonography data. Conclusion: We propose a simple height-based formula to predict renal length in children using a DMSA scan data, and validate it by comparing with ultrasonography formula.

• Fashion & Textile Research Journal
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• v.24 no.4
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• pp.443-450
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• 2022

This study developed a three-dimensional helmet mold design software that can design helmets for treating the infant plagiocephaly (flat head syndrome) using three-dimensional head scan data. For this, the three-dimensional head data of sixth SizeKorea body measurement project as well as the data produced by a head modeling software were used to prepare the head shape data of plagiocephaly patients. A total of 14 landmarks and 10 dimensions of heads required for helmet mold shape design and plagiocephaly diagnosis were automatically measured using an anthropometric analysis software. Using the software developed in this study, plagiocephaly can be diagnosed not only visually by three-dimensional head data visualization but also quantitatively by calculating the medically defined indices such as cranial index, which measures the proportions of the head, and the cranial vault asymmetry index, which measures the asymmetry of the head. The basic shape of the helmet mold was automatically generated based on the head scan data. Additionally, it is possible to fine tune the shape of the mold to reflect individual characteristics by using a free form deformation technique. Finally, the designed helmet mold was converted into the data that can be printed on a three-dimensional printer for generating the actual prototype.

• The Journal of Advanced Prosthodontics
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• v.14 no.4
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• pp.236-249
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• 2022

PURPOSE. The present study compared the accuracy between digital and conventional implant impressions. MATERIALS AND METHODS. The experimental models were divided into six groups depending on the implant location and the scanning span. Digital impressions were captured using the intraoral optical scanner TRIOS (3Shape, Copenhagen, Denmark). Conventional impressions were taken with the monophase impression material based on addition-cured silicones, Honigum-Mono (DMG, Hamburg, Germany). A high-precision laboratory scanner D900 (3Shape, Copenhagen, Denmark) was used to obtain digital data of resin models and stone casts. Surface tessellation language (STL) datasets from scanner were imported into the analysis software Geomagic Qualify 14 (3D Systems, Rock Hill, SC, USA), and scan body deviations were determined through two-dimensional and three-dimensional analyses. Each scan body was measured five times. The Sidak t test was used to analyze the experimental data. RESULTS. Implant position and scanning distance affected the impression accuracy. For a unilateral arch implant and the mandible models with two implants, no significant difference was observed in the accuracy between the digital and conventional implant impressions on scan bodies; however, the corresponding differences for trans-arch implants and mandible with six implants were extremely significant (P<.001). CONCLUSION. For short-span scanning, the accuracy of digital and conventional implant impressions did not differ significantly. For long-span scanning, the precision of digital impressions was significantly inferior to that of the traditional impressions.

• Fashion Information and Technology
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• v.5
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• pp.41-53
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• 2008

• International Journal of Human Ecology
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• v.15 no.2
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• pp.13-21
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• 2014

This study investigated the anthropometric characteristics of US women 26 to 45 years of age to classify their body shapes into different categories. Research data was obtained from 2950 women 26 to 45 years of age who participated in the SizeUSA study. A 26 to 35 years of age group and a 36 to 45 years of age group were selected from the data pool. A total of 26 measurements important for body shape classification and for apparel product development was used for the data analysis. Five factors accounted for the US women's body measurements. The body shapes of women were categorized into 4 types: Obese A-Shape, Overweight Y-Shape, Obese H-Shape, and Normal S-Shape. Normal S-Shape was the most common body shape type. More women in the 26 to 35 years of age group had Normal S-Shape type than women in the 36 to 45 years of age group. More women in the 36 to 45 years of age group had Obese A-Shape, Overweight Y-Shape, and Obese H-Shape than women in the 26 to 35 years of age group. Younger US women, 26 to 35 years of age had slimmer body sizes with more balanced body shapes; however, older US women, 36 to 45 years of age had larger body sizes with more various body shapes.

• International Journal of Human Ecology
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• v.12 no.1
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• pp.87-99
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• 2011

Purpose- The purpose of this study was to compare the fit of two prototype liquid cooled vests using a 3D body scanner and accompanying software. The objectives of this study were to obtain quantitative measurements of ease values, and to use these data to evaluate the fit of two cooling vests in active positions and to develop methodological protocol to resolve alignment issues between the scans using software designed for the alignment of 3D objects. Design/methodology/approach- Garment treatments and body positions were two independent variables with three levels each. Quantitative dataset were dependent variables, and were manipulated in 3x3 factorial designs with repeated measures. Scan images from eight subjects were used and ease values were obtained to compare the fit. Two different types of analyses were conducted in order to compare the fit using t-test; those were radial mean distance value analysis and radial distance distribution rate analysis. Findings- Overall prototype II achieved a closer fit than prototype I with both analyses. These were consistent results with findings from a previous study that used a different approach for evaluation. Research limitations/implications- The main findings can be used as practical feedback for prototype modification/selection in the design process, making use of 3D body scanner as an evaluation tool. Originality/value- Methodological protocols that were devised to eliminate potential sources of errors can contribute to application of data from 3D body scanners.