• 복식문화연구
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• 제30권5호
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• pp.732-751
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• 2022

In this study, we aimed to apply 3D digital printing to basic clothing production and to propose futuristic fashion design and production methods that correspond to contemporary trends. Literature on future trends, dynamism, mechanical aesthetics, and experimentalism were used to define the characteristics of "futurism." Based on theoretical considerations about futurism, we created fashion designs using 3D digital printing methods. These designs were produced using the aesthetic characteristics of futurism; the 3D digital clothing program; and application of digital printing technologies to futuristic silhouettes, colors, and materials. The results were as follows: First, with the application of futurism as a fashion motif, we pursued collaboration between artistic work and fashion, and we then explored the possibility of creative expression. Second, harmony between achromatic and chromatic colors revealed even better dynamism and activeness, and the potential to express dynamism was observed. Third, with the development of fashion design processes based on 3D digital printing methodologies, it was found to be possible to eliminate the limitations of time and space, solve problems related to limited budget or communication, and positively influence the fashion industry by enhancing convenience and diversity. Fourth, with the development of fashion design that utilizes digital printing, it was found that problems related to time, space, or limited budget were able to be solved, as compared to the use of traditional printing and image reproduction.

• 복식문화연구
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• 제30권6호
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• pp.779-798
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• 2022

The purpose of this study was to propose the direction of veganism-based fashion design in environmental and animal protection through the theoretical consideration of vegan fashion and the analysis of the practical design characteristics of veganism in Stella McCartney's fashion. The research was conducted through literature research and case studies. After investigating the concept and characteristics of vegan fashion, focusing on previous studies and various fashion-related Internet data, Stella McCartney's fashion was examined with particular attention on vegan characteristics. The results of the study are as follows: First, imitative nature pursues animal and environmental protection, but the motif or appearance is a characteristic of pursuing a multi-purpose design that imitates animals and nature. Second, expression of value is based on slow fashion, simplicity, and sustainable minimal design. It is expressed indirectly by pursuing permanence, simplicity, and long-wearable design, or directly expressing vegan values through phrases expressed in performances or costumes in the collection. Third, alternative eco-friendliness is characterized by using cruelties-free materials such as faux fur, recycling materials, new bio-materials, and regenerated materials. These vegan characteristics are comprehensively and organically expressed in the works of the collection, and through this, sustainable and eco-friendly vegan fashion is pursued. It is anticipated that by deriving the vegan fashion characteristics of Stella McCartney, who represents vegan fashion, it will be possible to provide the basis for practical direction and design methods for fashion brands aiming for vegan fashion styles.

• Journal of Information Science Theory and Practice
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• 제12권2호
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• pp.49-63
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• 2024

Information behavior played a significant role in minimizing the risks of the COVID-19 pandemic. When faced with such a situation, an individual needs information for decision-making and in order to determine the best course of action relating to their health. This study aims to explore information behavior during each phase of the COVID-19 pandemic in Indonesia, which is known for its close-knit collective culture. A sensemaking approach is used, which emphasizes the process individuals go through to understand their situation and give meaning to the information they are getting from their environment. Data was collected through in-depth interviews with 10 participants to obtain a description of their information behaviors during the pandemic. Data analysis was carried out using open, axial, and selective coding. We propose a sensemaking-based information behavior strategy framework for mitigating risk and reducing ongoing health crises. Changes in information behavior strategies, including search, prevention, and restriction of information exposure, were random at the beginning of the pandemic, but became more regular in later phases. This was influenced by the "knowledge gap fulfillment" and "use of local knowledge" among the participants throughout the pandemic. In conclusion, the participants developed a sensemaking process including an understanding of the pandemic situation and the risks that they faced. They used a number of information behavior strategies to prevent transmission, and their perception of the risks changed across the course of the pandemic, up til the situation began to be considered back to normal again in Indonesia.

• 한국의상디자인학회지
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• 제25권4호
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• pp.13-28
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• 2023

The purpose of this study is to analyze the characteristics of hippie style in emerging brands pursuing the hippie spirit, examine the changes in hippie style, and apply them to the design development process to propose a hippie style design that reflects contemporary characteristics. The research method of this study was used to grasp the characteristics and current status of hippie style based on a literature review and prior research. Through the analysis of Bode and Story mfg, a new brand that reflects the hippie spirit, the design expression methods and characteristics of modern hippie style were derived, and based on the analysis, the design of the 3D CLO virtual outfit was developed. The results of the study are as follows. First, in addition to the use of eco-friendly materials, the digital technology of the CLO 3D program was applied to the design development process, which made it possible to increase sustainability from the production process. Second, by creating a retro design centered on a striped pattern expressing freedom, revolution, and equality, and a handcrafted design based on a tie-dye pattern, the design was able to express the hippie spirit of loving nature, and through this, a new direction of eco-friendly and modern fashion design was presented.

• Asia pacific journal of information systems
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• 제17권4호
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• pp.31-59
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• 2007

We frequently use search engines to find relevant information in the Web but still end up with too much information. In order to solve this problem of information overload, ranking algorithms have been applied to various domains. As more information will be available in the future, effectively and efficiently ranking search results will become more critical. In this paper, we propose a ranking algorithm for the Semantic Web resources, specifically RDF resources. Traditionally, the importance of a particular Web page is estimated based on the number of key words found in the page, which is subject to manipulation. In contrast, link analysis methods such as Google's PageRank capitalize on the information which is inherent in the link structure of the Web graph. PageRank considers a certain page highly important if it is referred to by many other pages. The degree of the importance also increases if the importance of the referring pages is high. Kleinberg's algorithm is another link-structure based ranking algorithm for Web pages. Unlike PageRank, Kleinberg's algorithm utilizes two kinds of scores: the authority score and the hub score. If a page has a high authority score, it is an authority on a given topic and many pages refer to it. A page with a high hub score links to many authoritative pages. As mentioned above, the link-structure based ranking method has been playing an essential role in World Wide Web(WWW), and nowadays, many people recognize the effectiveness and efficiency of it. On the other hand, as Resource Description Framework(RDF) data model forms the foundation of the Semantic Web, any information in the Semantic Web can be expressed with RDF graph, making the ranking algorithm for RDF knowledge bases greatly important. The RDF graph consists of nodes and directional links similar to the Web graph. As a result, the link-structure based ranking method seems to be highly applicable to ranking the Semantic Web resources. However, the information space of the Semantic Web is more complex than that of WWW. For instance, WWW can be considered as one huge class, i.e., a collection of Web pages, which has only a recursive property, i.e., a 'refers to' property corresponding to the hyperlinks. However, the Semantic Web encompasses various kinds of classes and properties, and consequently, ranking methods used in WWW should be modified to reflect the complexity of the information space in the Semantic Web. Previous research addressed the ranking problem of query results retrieved from RDF knowledge bases. Mukherjea and Bamba modified Kleinberg's algorithm in order to apply their algorithm to rank the Semantic Web resources. They defined the objectivity score and the subjectivity score of a resource, which correspond to the authority score and the hub score of Kleinberg's, respectively. They concentrated on the diversity of properties and introduced property weights to control the influence of a resource on another resource depending on the characteristic of the property linking the two resources. A node with a high objectivity score becomes the object of many RDF triples, and a node with a high subjectivity score becomes the subject of many RDF triples. They developed several kinds of Semantic Web systems in order to validate their technique and showed some experimental results verifying the applicability of their method to the Semantic Web. Despite their efforts, however, there remained some limitations which they reported in their paper. First, their algorithm is useful only when a Semantic Web system represents most of the knowledge pertaining to a certain domain. In other words, the ratio of links to nodes should be high, or overall resources should be described in detail, to a certain degree for their algorithm to properly work. Second, a Tightly-Knit Community(TKC) effect, the phenomenon that pages which are less important but yet densely connected have higher scores than the ones that are more important but sparsely connected, remains as problematic. Third, a resource may have a high score, not because it is actually important, but simply because it is very common and as a consequence it has many links pointing to it. In this paper, we examine such ranking problems from a novel perspective and propose a new algorithm which can solve the problems under the previous studies. Our proposed method is based on a class-oriented approach. In contrast to the predicate-oriented approach entertained by the previous research, a user, under our approach, determines the weights of a property by comparing its relative significance to the other properties when evaluating the importance of resources in a specific class. This approach stems from the idea that most queries are supposed to find resources belonging to the same class in the Semantic Web, which consists of many heterogeneous classes in RDF Schema. This approach closely reflects the way that people, in the real world, evaluate something, and will turn out to be superior to the predicate-oriented approach for the Semantic Web. Our proposed algorithm can resolve the TKC(Tightly Knit Community) effect, and further can shed lights on other limitations posed by the previous research. In addition, we propose two ways to incorporate data-type properties which have not been employed even in the case when they have some significance on the resource importance. We designed an experiment to show the effectiveness of our proposed algorithm and the validity of ranking results, which was not tried ever in previous research. We also conducted a comprehensive mathematical analysis, which was overlooked in previous research. The mathematical analysis enabled us to simplify the calculation procedure. Finally, we summarize our experimental results and discuss further research issues.

• 감성과학
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• 제18권1호
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• pp.49-58
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• 2015

본 연구는 감성의류용 탄화지르코늄 함유 축열 니트의 원적외선 특성을 연구하였다. 탄화지르코늄 함유 축열 PET 원사가 이성분 방사법에 의해 방사되었다. 이 원사의 core부에는 고점도 PET와 탄화지르코늄을 혼합한 용액을, sheath부에는 저점도 PET 용액을 사용하여 콘쥬게이트 방사를 실시하였다. 이들 방사된 원사의 원소분석과 원적외선 특성 분석이 EDS와 FT-IR 계측기기에 의해 분석되었으며 두 가지 조직의 니트 소재를 편직하여 이들의 열적특성을 분석하였다. EDS 분석에서 Zr 피크를 확인하였으며 원사내에 Zr 원소가 19.29% 함유되어 있음을 확인하였다. 또한 원적외선 분석에서 $5{\sim}20{\mu}m$ 파장 영역에서 원적외선 방사에너지가 $3.65{\times}10^2W/m^2$, 방사율이 0.906 임을 확인하였다. KES-F7 측정기 분석에서 ZrC 함유 편성물의 Qmax 값이 일반 PET 편성물의 값보다 낮은 값을 보였고 보온율 값은 ZrC 함유 편성물이 일반 PET보다 더 높은 값을 보이므로서 ZrC의 축열성을 확인하였다. 열전도도는 Zr의 높은 열전도도 때문에 일반 PET 편물보다 더 높은 값을 보였다. ZrC의 함유가 편물의 촉감에 미치는 영향을 없었으며 편성 조직이 더 큰 영향을 주는 것을 확인하였다.

• 감성과학
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• 제14권3호
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• pp.385-394
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• 2011

본 연구의 목적은 20대 표준체형 여성을 대상으로 하여, 소재에 따른 플레어 스커트의 실제착의와 가상착의에 따른 시각적 이미지를 비교 분석하고, 시각적 이미지와 역학적 특성간의 상관관계를 분석하는 데에 있다. 본 연구는 드레이프 특성이 확연히 다른 5종류의 소재를 사용하였다. 실험에 사용되어진 플레어 스커트의 실제착의와 가상착의의 이미지는 사진으로 제공되었으며, 피설문자는 20대의 의류학 전공의 여성이었다. 자료의 분석은 SPSS Ver.12.0 프로그램을 사용하여 통계 처리하였으며, 연구 문제별로 요인분석, 일원변량분석(One way ANOVA), T 검정(t-test), 던컨테스트(Duncan test)를 실시하였다. 시각적 이미지에 대한 요인분석 결과 '드레이프성', '매력성', '신체 보정성', '부피감', '활동성' 의 총 5 가지 요인이 분석되었다. 시각적 이미지중 '부피감'의 경우 G, 무게, 두께와 같은 역학적 특성들과 밀접한 상관관계를 나타냈으며, 3차원 의복 시뮬레이션과 실제착의간의 시각적 이미지는 소재에 따라 유의한 차이점을 나타냈는데, 실크나 폴리에스터 소재와 면, 린넨, 양모소재간 이미지 차이는 소재의 무게와 두께에 따라 영향을 많이 받는 것으로 나타났다.

• 패션비즈니스
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• 제3권1호
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• pp.113-124
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• 1999

The purpose of this study is to provide for the basic data useful to designing a scientific and systematic merchandising program for infants' wear brands. For this purpose, designer and MD working for 8 local infants' wear brands were surveyed to analyze the conditions of their designing and merchandising of infants' wears. The results of this study can be summarized as follows; 1. Only 3 brands employed MD for their merchandising departments. The average number of clothing designers employed by the subject brands was 3-5, while that of colorists was 1-2, and that of accessory designers was 2-3. On the other hand, the average number of patternmakers employed was about 1, while that of sewer was 4. 2. Many of the sample infants' wear brands tended to collect and analyze the information for merchandising, while most of them relied less on outside planned data. The information source upon which they relied most was 'local and foreign fashion magazine', followed by 'data surveyed by local and foreign department stores' and 'data surveyed for local fabric markets' in their order. Meanwhile, the main color represented 70-90% of the total colors, while the pastel groups accounted for 30-40% and vivid color groups for 40-50%. On the other hand, knit accounted for about 60% of their materials, while woven and sweater accounted for 30% and 10%, respectively. 3. In overall terms, most of brands felt that their brands were preferred as much as or less than their competitive brands, while consumers felt expensive for infants' wears. Namely, most consumers were dissatisfied with the price levels of infants' wears. On the other hand, consumers were found to favor the pastel color groups a little more, while being aware of each brand's sizes more or less precisely. 4. The medium upon which the infants' wear brands depended most for their advertisement was 'magazine', followed by 'radio' and 'catalogue' in their order. Most of them were analyzing the results of their sale turnover monthly or frequently in order to review their sales performances in comparison with their competitors. Most of brands bothered to program a sale strategy 4 times a year, primarily to dispose the stocks or find a breakthrough for their sales activities.

• 복식문화연구
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• 제21권1호
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• pp.57-65
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• 2013

With environmental pollution becoming a serious problem, recently there has been increased interest in the environment and health. In addition, the development of materials for environmentally friendly and functional clothing has increased. Environmentally friendly products that use bark fibers of the mulberry(dak) tree are expressed in terms of dak fiber and Hanji yarn. This research analyzed consumer's perceived images of Hanji and Hanji yarn infant clothing. The research results are as follows. Based on analyzing images of Hanji and Hanji yarn, Hanji was categorized into four images that can be described as natural, pure, decorative, and functional, and Hanji yarn infant clothing was categorized into three images that can be described as natural, decorative, and functional. Based on the analysis of well-being elements in subjects' lifestyles, the following four inclinations were found: environmental friendliness, pursuit of novelty, life care, and environmental protection. On this basis, the subjects were categorized into three groups: the trend-pursuing group, the life-care group, and the social responsibility group. Subjects' perceived images of Hanji and Hanji yarn infant clothing were investigated, and these products were found to have a strong image of being Korean, traditional, and natural, while being weakly perceived as comfortable, functional, and practical. Analyzing the correlation between images of Hanji and Hanji yarn infant clothing and lifestyle groups revealed that these products were not perceived differently according to group. This study showed that Hanji and Hanji yarn are terms that are commonly associated with positive clothing material. However, both Hanji and Hanji yarn are perceived negatively in terms of functional image, which is an important factor in clothing material. In addition, even among consumers who pursue a lifestyle based on well-being, the functional image of Hanji yarn was not perceived highly. Hence, it is necessary to further examine the effect of terms such as Hanji and Hanji yarn on consumer choices. Therefore, caution is considered needed when using such terms in the marketing of related products.

• 디지털융복합연구
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• 제12권6호
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• pp.637-643
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• 2014

본 연구는 학술지의 질적인 수준을 평가할 수 있는 도구인 상호인용 빈도를 활용하여 의류학 관련 학술지의 영향력을 파악하고, 나아가 연결망 그래프를 활용하여 학술지 간의 관계도를 연구하여 연구자들에게 국내 의류 관련 학술지에 대한 정보를 제공함으로써 영향력 있는 학술지를 보다 쉽게 파악하고자 한다. 분석대상은 한국연구재단에 등재되어 있는 의류학관련 10개 학술지로 하였으며, 상호인용 빈도는 2008년부터 2011년까지의 논문으로 KCI 데이터베이스로부터 재정리된 별도의 자료를 이용하였다. 연결망분석에 활용한 소프트웨어는 R ver. 2.15이다. 결과는 다음과 같다. 첫째, 자기인용비율에 대해서는 패션과 니트가 압도적으로 높고 한국의상디자인학회지가 다음 순이었다. 둘째, 중분류 생활과학에 속하는 23개 학술지의 영향력지수 평균이 1.00임에 비추어 볼 때, 의류학 관련 학술지들의 영향력지수 평균은 0.681로 다소 낮은 편이다. 한국생활과학회지는 1.24의 영향력 지수를 보여 중분류 생활과학에 속하는 학술지 평균보다 높았다. 한국생활과학회지는 근접중심성 및 중개중심성도 한국의류학회지와 함께 높아 의식주 관련 학술지들의 상호인용에 있어 중심적인 역할을 하는 것으로 나타났다.