• Journal of the Korean Society of Clothing and Textiles
• /
• v.36 no.3
• /
• pp.360-370
• /
• 2012

This study investigates the interaction effects of mechanical property-based clusters and colorimetric tones on the subjective touch and color sensation of fabrics when sight and touch were simultaneously provided to humans. Each of six different silk fabrics was colored by digital textile printing to have three tones (pale, vivid, and grayish) and its mechanical properties were measured by a Kawabata Evaluation System (KES). Touch and color sensation were identified to be primarily influenced by mechanical property-based clusters and tones, respectively. In touch, 'smooth', 'warm', 'heavy', and 'soft' were found to be affected by interactive effects of mechanical property-based clusters and colorimetric tone so that the pale tone tended to make differences smaller among the clusters for the touch sensation, while the grayish tone seemed to contribute to larger differences of 'heavy'. However, an interaction effect was not found in the color sensation with touch even though the color sensation was also influenced by mechanical property-based clusters.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.42 no.1
• /
• pp.148-158
• /
• 2018

This study analyzes recent trends in fashion retailing instigated by the fourth industrial revolution and approaches the trends in terms of the convergence of big data and artificial intelligence. The findings are as below. First, companies like 'Edited' and 'Stylumia' offer solutions that support the strategic decisions of fashion brands and fashion retailers by analyzing big data using artificial intelligence. Second, the convergence of big data and artificial intelligence scales personalized service on the web as examples of 'Coded Couture', 'StitchFix', and 'Thread'. Third, the insights gained from artificial intelligence and big data help create new fashion retailing platforms such as 'Botshop' and 'Lyst'. Last, artificial intelligence and big data assist with design. 'Ivyrevel' designs digital fashion, assisted by a macroscopic perspective on fashion trends, market and consumers through the analysis of big data. The Fourth Industrial Revolution brings changes across all industries that will likely accelerate. The fashion industry is also undergoing many changes with advancements in scientific technology. The convergence of big data and artificial intelligence will play a key role in the future of fast-moving industry like fashion, where fickle tastes of consumers are the main drivers.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.34 no.9
• /
• pp.1567-1580
• /
• 2010

This study investigates the effects of visual texture on color emotion and establishes prediction models for color emotion by both physical color properties and visual texture characteristics. A variety of fabrics including silk, cotton, and flax were colored by digital textile printing according to chromatic hue and tone combinations that are evaluated in terms of color emotion. Subjective visual texture ratings are also obtained for gray-colored same fabrics to those used in color emotion tests. As a result, fabric clusters by visual texture factors showed significant differences in color emotion factors that are primarily affected by physical color properties. Finally prediction models for color emotion factors by both physical color properties and visual texture clusters were established, which has a potential to be used to explain color emotion according to the visual texture characteristics of fabrics.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.25 no.10
• /
• pp.1801-1808
• /
• 2001

본 연구는 노년여성을 위한 의복 원형을 설계하기 위하여 60∼80세 의 노년여성을 대상으로 직접 계측을 실시하여 체형을 유형화하고 동작에 따른 체표면 특성을 분석하였다. 인자분석을 실시한 결과 상반신 비만요인, 높이요인, 상반신 앞면길이, 어깨 형태, 상반신 뒷면 길이, 어깨 경사도, 목형태, 진동깊이의 8개 인자가 추출되었다. 군집분석에 의한 체형분류 결과, 유형 1은 상반신의 골격이 가장 작고 왜소하며 가슴의 하수가 작은편의 앞으로 굴신된 체형이며, 유형 2는 키가 작고 보통인 체형으로 상반신의 앞뒤면 길이가 짧으며 가슴의 하수가 크고 어깨가 넓고 약간 앞으로 숙여진 체형이다. 유형 3은 키가 가장 크고 등과 어깨가 두꺼운 골격이 큰 체형이다. 유형 4는 키가 약간 크고 마른 체형에 상반신 앞면길이 인자가 큰 유형으로 약간 뒤로 젖혀진 체형이라 할 수 있다. 동작에 따른 체표면의 변화를 델마토그래프법 (Dermatograph method)에 의해 측정 한 결과, 가로 방향에서 동작에 따라 유의한 차이를 나타낸 기준선은 뒤목점-어깨끝점길이, 어깨 길이 및 앞가슴둘레선, 후액와선이며, 세로 방향에서는 어깨끝점-BP-허리중심점, 어깨중심에서 앞허리선까지의 앞길이 및 옆선길이로 나타났다.

• Journal of Digital Convergence
• /
• v.12 no.6
• /
• pp.637-643
• /
• 2014

The purpose of this study was twofold: 1) to analyze the impact factor of clothing and textile-related journals by utilizing the average number of cross-citation that evaluates the relative importance of an academic journal and 2) to provide a list of journals with higher impact factor by analyzing closeness and betweenness among individual journals through graph networks. To fulfill this, a total of 10 clothing and textile-related journals, which are accredited by National Research Foundation of Korea, were analyzed. For analysis of the average number of cross-citation, the targeted research papers were limited to those published between 2008 and 2011 and they were derived from the Korea Citation Index. The software used for network analysis was R ver. 2.15. The results of the study were as follow: First, 'The Korean Society of Knit Design' was indicated as the highest rate of self-citation, followed by 'Journal of the Korean Fashion & Costume Design Association.' Secondly, the average impact power of clothing & textile-related journals was relatively lower (0.681) compared to that (1.00) of 23 journals under the human ecology discipline. 'Korean Journal of Human Ecology' was found to have impact factor of 1.24, which was higher than the average impact factor of human ecology-related journals. Lastly, together with 'Journal of the Korean Society of Clothing and Textiles.'

• Fashion & Textile Research Journal
• /
• v.23 no.3
• /
• pp.380-389
• /
• 2021

This study aimed to reveal the perceptions and trends of digital fashion technology through an informational approach. A big data analysis was conducted after collecting the text shown in a web environment from April 2019 to April 2021. Key words were derived through text mining analysis and network analysis, and the structure of perception of digital fashion technology was identified. Using textoms, we collected 8144 texts after data refinement, conducted a frequency of emergence and central component analysis, and visualized the results with word cloud and N-gram. The frequency of appearance also generated matrices with the top 70 words, and a structural equivalent analysis was performed. The results were presented with network visualizations and dendrograms. Fashion, digital, and technology were the most frequently mentioned topics, and the frequencies of platform, digital transformation, and start-ups were also high. Through clustering, four clusters of marketing were formed using fashion, digital technology, startups, and augmented reality/virtual reality technology. Future research on startups and smart factories with technologies based on stable platforms is needed. The results of this study contribute to increasing the fashion industry's knowledge on digital fashion technology and can be used as a foundational study for the development of research on related topics.

• The Research Journal of the Costume Culture
• /
• v.21 no.5
• /
• pp.613-628
• /
• 2013

This study aims to identify characteristics of neo-naturalism coming from periodical changes in the 21th society, culture based on naturalism and analyze the expressional and design characteristics of neo-naturalism on 2000s. For a research method, this study researched development of naturalism in fashion, and searched digital naturalism and ecology which are design paradigm effecting on neo-naturalism through literature research and preliminary study. Analyzing preliminary study on architecture, interior, fashion about digital naturalism and ecology design, concept of neo-naturalism identified and four expressional characteristics of neo-naturalism was classified, actual examples of neo-naturalism in 21th fashion were extracted and drew design characteristics. The results are as followings. Firstly, naturalism described nature as it is and developed according to the values and needs of the times. Naturalism in fashion showed natrual human body's curve, nature pattern and used natural materical focused on ideal beauty of nature. Secondly, neo-naturalism renews with the foundation of digital culture and ecology design paradigm, and focuses on the flexible possibility to express nature with digital, new media and formative art, and made the artificial nature uniting human-nature-environment as organic whole by ecology design paradigm. Thirdly, design of neo-naturalism divided four characteristics, nature's organic form, combination with the technology, ethical harmony with nature, global local design. The first characteristics of the nature's organic form are expressing silhouette of the nature's organic volume abstractly, the second ones of the combination with the technology are reinterpreting primitive nature contemporary with artificial sensibility of high technology, the third ones of the ethical harmony with nature are showing simple design and high-touch, and the forth ones of global local design are expressing cultural hybrid preserving vernacular design.

• Journal of the Korea Computer Graphics Society
• /
• v.26 no.3
• /
• pp.21-29
• /
• 2020

This study defines the pipeline for digital fashion contents production using CLO 3D, a 3D fashion design software that supports virtual clothing visualization as a cutting-edge simulation technology for fashion, and vuforia, a mobile platform augmented reality (AR) development kit for creating AR applications. The proposed production pipeline is organized in a method to produce a virtual clothing model through CLO 3D software through works of patterns, sewing lines, textures, etc., and AR contents based on computer vision techniques using the functions and properties of vuforia development kits in the Unity engine development environment. In addition, we present application method that can be practically utilized from the perspective of practical users, such as fashion designers and directors, by creating a new type of AR digital fashion contents directly as a flow of the defined production pipeline.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.40 no.6
• /
• pp.1025-1033
• /
• 2016

It is important to compare and analyze digital camouflage from different countries to promote the continuous development of a camouflage combat uniform. This effort should lead to developing a camouflage pattern suitable for the domestic environment and expand its performance of night camouflage. This study investigates digital camouflage by comparing camouflage fabrics sampled from Korea and eight other countries (USA, UK, Singapore, Croatia, Colombia, and Mongolia) in terms of textile, near-infrared reflectivity of colors, and color distribution. First, the fabric construction of camouflage from Korea, UK, US, Singapore, Span, and Croatia were all characterized by derivative plain weaves, while derivative twill weaves were generally used in Croatia and Mongolia. It is assumed that derivative plain weaves are adopted to improve the tearing strength of fine yarns. However, twill weaves enhance the flexibility of coarse yarn fabrics. Next, reflectivity change was analyzed based on camouflage color. The reflectivity of a combat uniform in Korea, Colombia, Croatia, and UK increased before 780nm in the visible light range, but remained consistent from 800nm which falls under the near-infrared range. In contrast, camouflage samples in Mongolia, Span, Singapore and USA showed a gradual increase of reflectivity in the near-infrared range. Finally, the color distribution analysis of digital camouflage found that camouflage of countries with desert or woodland combat settings dominantly contained brown colors. It indicates the color pattern consideration of different geographic regions is important to determine camouflage performance. This research involves basic study that will have implications for developing patterns and colors suitable for the South Korean environment and expand its use as night camouflage that helps achieve continuous improved camouflage performance.

• The Research Journal of the Costume Culture
• /
• v.30 no.3
• /
• pp.455-476
• /
• 2022

The aim of this study was to develop Jiangxi Nuo masks using 3D digital fashion design technology and suggest various ways to utilize traditional culture based on the characteristics of Nuo masks, a traditional Chinese artifact of intangible cultural significance. The researchers conducted a literature review to gather information about Nuo culture and masks that could represent Jiangxi. Features of the masks were analyzed and classified. The result are as follows. First, the symbolic characteristics of Jiangxi's Nuo masks can be divided into those based on their origin and history, the user's social status, and the notions of primitive beliefs of the chosen people, such as naturism and totemism. Second, Nuo masks' splendid decorations convey meanings such as luck, the bixie, longevity, wealth, and peace in the family. Third, playfulness in mask-making is about dismantling the original form of the mask, re-creating it through application. Fourth, the masks express primitiveness mostly by conserving the wood's original color or material. The initial masks carved to represent images of figures aptly deliver the primitive forms and images of Nuo culture. In this study, Nuo masks were developed and produced using the 3D digital technology CLO 3D by adopting the expressive characteristics and applying design methods such as asymmetricity, exaggeration, and modification. The results of this study demonstrate the possibility of creating diverse as well as economical designs through the reduction of production.