• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.3
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• pp.453-463
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• 2021

The lengthwise and widthwise deformation of warp-knitted fabrics with different sizes and loading modes were evaluated. Moreover, five tricot samples cut in three directions were compared under four test conditions (A-D). In tests A and B, 500 and 250 g loads were applied on a layer of 20 × 20 and 5 × 10 cm² samples, respectively. In test C, a 20 × 20 cm² sample was folded in half over a rod, and 500 g load was applied to each half. In test D, a 20 × 20 cm² sample was sewn in a loop and subjected to a 500 g load. The lengthwise extension and widthwise contraction analysis results indicate that test B affords the largest values. However, analysis results of the warp-knitted fabric normalized through conversion to a 1 g load and 1 cm sample width indicate that the largest values are afforded for test D. Therefore, pattern reduction may vary depending on the measurement method and properties of the knitted fabric used for the compression wear production, causing variations in the finished product. Thus, an appropriate measurement method must be adopted based on the compression wear design and knitted fabric to be used.

• Fashion & Textile Research Journal
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• v.20 no.4
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• pp.410-421
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• 2018

The study is designed to develop a educational basic pants patterns for men, and has been analyzed focusing on the university textbooks published since 2000. We also used CAD programs and virtual fitting programs to analyze the fitness of pants. To do this purpose, after choosing 7 Men's Wear textbooks, selected patterns were drawn and measured using PAD system and were compared and analyzed. Also, the appearance evaluation was examined through virtual fitting and then evaluated 21 male and female university students in their 20s. After supplementing the problems of the patterns in the existing textbooks, a pattern was developed and verified the fitness of the developed pattern. The results of comparing the proposed measurement items of each textbook for the pants pattern indicated a significant differences in terms of hip circumference of each pattern, which were between 96~105cm. A comparison of the drafting methods of each pattern showed the drafting methods for the crotch length, the front crotch extension, the back crotch extension were the difference. The results of appearance evaluation were pattern E presented the slimmest fit and pattern D presented the loosest fit. As a result of analysis of pants pattern, a waist circumference 82cm, a hip circumference 98cm, a crotch length 24cm, a pants length 104cm and a ham line width 46cm were most suitable. The development pattern was evaluated as superior to the existing pattern through the appearance evaluation of the virtual fitting.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.1
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• pp.97-113
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• 2016

This study develops pant patterns using body shape, measurement and shell mesh data to decide optimal women's pants according to styles with excellent size, fit and shape for different individuals and silhouettes. Standard landmarks, lines, triangles and structures were set on a 3D scanned lower body shell to represent women in their twenties and flattened as a 2D pattern. Patterns were created and analyzed according to culotte, formal, slacks and tight type considering crotch shape, location of the crotch point, and adjusting waist darts. Flattened patterns were rotated to compare existing methods. The crease lines were then set through the hip protrusion point and compared. The main factor of the pant pattern were extracted, total rise, crotch depth, crotch width, angle of center line, shape of the center line curve, the thigh width, the amount of waist dart, and crease line position. With going tight style from the culotte, the fits are closer to the figure with minimized thigh circumference, the dart amount decreases, the crotch depth increases, the crotch extensions were shorter, and the angle of the center back increased. The total rise is U shape for culotte and is closer to V shape as the silhouette tightens. T-test of appearance evaluation of the developed pant pattern were conducted after analyzing measurements and shapes of each styles. The results of the developed patterns were superior to existing patterns in accordance to hip line between body and pants as well as appearance evaluation. We found systematic mechanisms among pattern factors that create various pant silhouettes. Evidence on classification of the silhouettes of traditional types of pants were explained objectively through the process of playing out 3D forms.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.3_4
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• pp.390-401
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• 2002

This study was to evaluate the fitness and the suitability of size specification of the ready made jacket for women by analysing pattern size and space between skin and clothing using 3D scanner. The results were as follows: 1. Pattern B had the lowest score and the feeling of wearing was significantly different among the given patterns even though all jacket size specification were the same. 2. Ease amount was different between each brand even though the jacket size specification was the same due to the different pattern grading rules. And increasing grading amounts were bigger in horizontal direction rather than in vertical direction. 3. We could obtain accurate a 3 dimensional figure, using 3D scanner which was very useful and more accurate than 2 dimensional data using photography method. 4. Analyzing the average space between skin and clothing of each pattern, there was no significant difference in the average space between skin and clothing among all patterns except waist part of B88 size. And analyzing the average space between skin and clothing of each measured body parts by each size, there existed a significant difference in the interscye, abdomen and hip parts.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.295-296
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• 2021

본 연구는 신한복 저고리에 대한 선호도 조사를 통해 추출된 신한복 저고리 디자인을 기본으로 하여 신한복 저고리 원형을 개발하고자 한다. 이를 통해 신한복 저고리 생산에 기본이 되는 패턴에 관한 정보를 제공하고자 한다. 연구에 사용된 프로그램은 CLO 3D와 DC Suite 5.1 프로그램이며, 분석에는 SPSS 26.0을 활용하였다. 1차 외관평가를 통해 낮게 평가된 부분을 수정하여 어깨폭, 소매길이, 소매통, 앞단의 겹침 분량에 대한 수정이 이루어졌다. 2차 외관평가결과 저고리길이, 소매길이, 밑단둘레에 대한 수정이 요구되었다. 최종 신한복 저고리 패턴은 앞면, 뒷면, 옆면의 모든 항목에서 4.60이상으로 높은 평가를 받았다. 개발된 신한복 저고리 패턴은 20대 전반 여성의 체형에 맞추어져 있고 소재에 대한 고려 없이 3D 시뮬레이션 상에서의 일반적인 Physical parameter값에 맞추어 제작되었다. 따라서 향후 발전된 연구에서는 소재별, 저고리의 길이별, 연령별 신한복 저고리 패턴에 대한 연구가 이루어져야 할 것으로 생각된다.

• Journal of Fashion Business
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• v.27 no.3
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• pp.96-114
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• 2023

In modern society, there is a tendency to prioritize both fashion and comfort, with a preference for loose-fit clothing that enhances mobility. While darts may not be visibly present on the garment's exterior, their effects should be dispersed and incorporated into the design. However, there is a significant lack of systematic research on dartless patterns in the current state. Therefore, this study focuses on investigating dartless patterns used in loose-fit clothing tailored to the body measurements of women in their 20s. The objective of this research is to develop foundational dartless patterns that serve as a basis for diverse design possibilities in loose-fit clothing. To achieve this purpose, seven dartless patterns introduced in clothing construction references were selected for the production of experimental prototypes, which were then subjected to visual evaluations by a panel of experts. Based on the evaluation results, superior patterns were selected and they underwent modification and improvement to develop the research patterns. The developed research patterns were derived through the formulation of calculation formulas, and based on these formulas, garments were produced. Subsequently, a second round of visual evaluations was conducted by a panel of experts, and notable improvements were observed in most of the aspects assessed. However, it should be noted that this study was limited to women in their 20s it did not explore a wide range of fabrics. Therefore, further research is needed in the future.

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2012.03a
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• pp.99-99
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• 2012

소비자의 기호가 다양화되면서 다품종 소량생산에 따른 대량 맞춤화에 대한 관심이 높아지고 있으며, 1990년대 후반부터 급격히 확산되고 있는 인터넷의 발달 및 디지털 기기의 확산에 따라 인터넷을 기반으로 한 전자상거래 환경에서의 대량 맞춤화 프로세스는 최근 의류 분야에서 주요한 경향으로 받아들여지고 있다. 대량 맞춤화 의류 제품의 수요는 인터넷 등 IT 기술의 발달과 맞물려 최근 개인의 특성과 취향을 고려한 인터넷 맞춤서비스를 기반으로 증가추세에 있으며, CAD 등의 테크놀러지의 활용을 통하여 디자인, 패턴제작, 재단 등의 자동 시스템을 도입함으로써 그 영역을 확장하고 있다. 이에 발맞추어 국내에서는 '디지털 패션 시스템'을 통해 3차원 바디 스캔, 3차원 컴퓨터 그래픽스, 3차원 Simulation, DID, DTP, 맞춤주문형 제품의 대량 생산기술 등의 단위 기술이 기업단위로 활용되는 등 가상현실을 이용한 3차원 가상쇼핑 등을 포함하는 기술로서 차세대 섬유패션 산업의 창출에 기여하고 있다. 그 중, 디지털 텍스타일 프린팅은 디자인에서부터 날염까지 전체 공정을 컴퓨터로 처리하여 기존의 복잡한 날염 공정을 단축하여 다품종 소량생산이 가능한 날염 방식으로, 대량 맞춤형 프로세스를 지원하며, 프로슈머(prosumer)로서의 소비자가 직접 참여하여 그들의 욕구를 최대화 할 수 있는 소비자 만족을 극대화 시킬 수 있는 대량 맞춤화 프로세스 중 하나의 단계로 소비자의 수요 반영하는 요소로 작용하고 있다. 즉, 디지털 패션 시스템에서의 디지털 텍스타일 프린팅은 대량 맞춤형 의류 제품에 있어 소비자 만족도와 직결되는 요인으로 분석된다. 따라서, 본 연구에서는 디지털 패션 시스템 기반의 대량맞춤형 섬유제품 및 디지털 텍스타일 프린팅 적용 섬유제품에 대한 기초 평가 문항을 제시하고, 소비자 태도를 분석하여 제시하였다. 또한, 분석된 기초 소비자 태도를 반영하여, 디지털 패션 시스템 기반의 디지털 텍스타일 프린팅(Digital Textile Printing) 의류 제품의 선호도, 인지도, 수요도 및 구입의향을 분석하여 최종적으로 디지털 패션 시스템에 적용된 디지털 텍스타일 프린팅 의류 제품의 수요 경향을 제시하였다.

• Smart Media Journal
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• v.3 no.4
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• pp.35-40
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• 2014

As small sized bio-sensors and digital yarns are developed, digital wear measuring vital signs can be used for individuals' health, the elderly care and sports activities. This paper discusses a database structure for analyzing stress state, pulses, positions, exercise amount of user based on vital signs measured for 24 hours measured by the wear and GPS information, and a storage for storing XML documents following a standard HL7 meta-model. By analyzing the stored information, the system identifies the stress state and exercise amount of users. Pulses, exercise intensity and emergency situations can be also detected by the system in real time. This paper discusses the implementation of a system enabling to acquire and analyze vital signals to understand user behavior patterns.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.112-120
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• 2009

The purpose of this study is to develop Andongpo apparel pattern design connected with the Apparel CAD system. It includes pattern making, grading, marking program. In this study, it will be able to make apparel pattern quickly and accurately by using Apparel CAD system. The results were as following : Computerization of the pattern making process is expected to provide higher accuracy and efficiency in apparel pattern making for narrow and expensive Andongpo. ESMOD pattern making method was selected as basic pattern. Tailored jacket patterns were developed for Andongpo. Refer to and . The jacket patterns developed is automatically depicted by inputting consumer's body size. Tailored jacket patterns for Andongpo were marked by using marking program in Apparel CAD system. The efficiency of marking appeared of 70% or more in Andongpo jacket patterns. This results is showed it has an effect on narrow and expensive Andongpo. 3tailored jacket patterns will be able to make a simulation by 3D Apparel CAD system. The results of this study is expected to provide higher consumer's satisfaction and internet brand launching. In addition, encouraging majority of the young to participate in using CAD program for Andongpo is regarded as beneficial for the reinforcement of competitiveness of traditional clothing business.

• Fashion & Textile Research Journal
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• v.23 no.4
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• pp.480-490
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• 2021

Sales forecasting is crucial for many retail operations. For apparel retailers, accurate sales forecast for the next season is critical to properly manage inventory and plan their supply chains. The challenge in this increases because apparel products are always new for the next season, have numerous variations, short life cycles, long lead times, and seasonal trends. In this study, a sales forecasting model is proposed for apparel products using machine learning techniques. The sales data pertaining to outerwear items for four years were collected from a Korean sports brand and filtered with outliers. Subsequently, the data were standardized by removing the effects of exogenous variables. The sales patterns of outerwear items were clustered by applying K-means clustering, and outerwear attributes associated with the specific sales-pattern type were determined by using a decision tree classifier. Six types of sales pattern clusters were derived and classified using a hybrid model of clustering and decision tree algorithm, and finally, the relationship between outerwear attributes and sales patterns was revealed. Each sales pattern can be used to predict stock-keeping-unit-level sales based on item attributes.