• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.27 no.1
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• pp.33-41
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• 2016

Radio Frequency Identification(RFID) can provide visibility and efficiency throughout the entire supply chain in fashion apparel and footwear. The technical analysis of RFID performance is necessarily required to create a sealess omni-channel service using customer experience. Especially, several tagged-item performance specifications, for example read range and multi-read rate, strongly depend on the attached material and real-operating environment. This paper suggests minimum performance requirements for RFID tags embedded inside a pair of shoes to negotiate tagged-item performance between retailers and suppliers.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.29-44
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• 2017

In Internet commerce, consumers are heavily influenced by product reviews written by other users who have already purchased the product. However, as the product reviews accumulate, it takes a lot of time and effort for consumers to individually check the massive number of product reviews. Moreover, product reviews that are written carelessly actually inconvenience consumers. Thus many online vendors provide mechanisms to identify reviews that customers perceive as most helpful (Cao et al. 2011; Mudambi and Schuff 2010). For example, some online retailers, such as Amazon.com and TripAdvisor, allow users to rate the helpfulness of each review, and use this feedback information to rank and re-order them. However, many reviews have only a few feedbacks or no feedback at all, thus making it hard to identify their helpfulness. Also, it takes time to accumulate feedbacks, thus the newly authored reviews do not have enough ones. For example, only 20% of the reviews in Amazon Review Dataset (Mcauley and Leskovec, 2013) have more than 5 reviews (Yan et al, 2014). The purpose of this study is to analyze the factors affecting the usefulness of online product reviews and to derive a forecasting model that selectively provides product reviews that can be helpful to consumers. In order to do this, we extracted the various linguistic, psychological, and perceptual elements included in product reviews by using text-mining techniques and identifying the determinants among these elements that affect the usability of product reviews. In particular, considering that the characteristics of the product reviews and determinants of usability for apparel products (which are experiential products) and electronic products (which are search goods) can differ, the characteristics of the product reviews were compared within each product group and the determinants were established for each. This study used 7,498 apparel product reviews and 106,962 electronic product reviews from Amazon.com. In order to understand a review text, we first extract linguistic and psychological characteristics from review texts such as a word count, the level of emotional tone and analytical thinking embedded in review text using widely adopted text analysis software LIWC (Linguistic Inquiry and Word Count). After then, we explore the descriptive statistics of review text for each category and statistically compare their differences using t-test. Lastly, we regression analysis using the data mining software RapidMiner to find out determinant factors. As a result of comparing and analyzing product review characteristics of electronic products and apparel products, it was found that reviewers used more words as well as longer sentences when writing product reviews for electronic products. As for the content characteristics of the product reviews, it was found that these reviews included many analytic words, carried more clout, and related to the cognitive processes (CogProc) more so than the apparel product reviews, in addition to including many words expressing negative emotions (NegEmo). On the other hand, the apparel product reviews included more personal, authentic, positive emotions (PosEmo) and perceptual processes (Percept) compared to the electronic product reviews. Next, we analyzed the determinants toward the usefulness of the product reviews between the two product groups. As a result, it was found that product reviews with high product ratings from reviewers in both product groups that were perceived as being useful contained a larger number of total words, many expressions involving perceptual processes, and fewer negative emotions. In addition, apparel product reviews with a large number of comparative expressions, a low expertise index, and concise content with fewer words in each sentence were perceived to be useful. In the case of electronic product reviews, those that were analytical with a high expertise index, along with containing many authentic expressions, cognitive processes, and positive emotions (PosEmo) were perceived to be useful. These findings are expected to help consumers effectively identify useful product reviews in the future.

• Industrial Engineering and Management Systems
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• v.12 no.3
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• pp.181-189
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• 2013

This paper proposes a two-phase genetic algorithm (GA) to solve the problem of obtaining an optimum configuration of a paired single row assembly line. We pair two single-row assembly lines due to the shared usage of several workstations, thus obtaining an optimum configuration by considering the material flow of the two rows simultaneously. The problem deals with assigning workstations to a sequence and selecting the best arrangement by looking at the length and width for each workstation. This can be considered as an enhancement of the single row facility layout problem (SRFLP), or the so-called paired SRFLP (PSRFLP). The objective of this PSRFLP is to find an optimal configuration that seeks to minimize the distance traveled by the material handler and even the use of the material handler itself if this is possible. Real-world applications of such a problem can be found for apparel, shoe, and other manual assembly lines. This research produces the schematic representation solution using the heuristic approach. The crossover and mutation will be utilized using the schematic representation solution to obtain the neighborhood solutions. The first phase of the GA result is recorded to get the best pair. Based on these best matched pairs, the second-phase GA can commence.

• Fashion & Textile Research Journal
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• v.17 no.2
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• pp.278-286
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• 2015

Fashion industry has tried to adopt the virtual garment technology to reduce the time and effort spent on sample creation. For garment manufacturers to adopt the virtual garment technology as an alternative to sample creation, 3D avatars that meet the needs of each brand should be developed. Virtual garment softwares that are available in the market provide avatars with standardized body models and allow to modify the size by manually entering size specifications. This study proposed a methodology to develop size specifications for 3D avatars as well as brand-customized production sizes. For this, a man's fashion brand which is using virtual garment technology is selected. And the Size Korea database is used to develop size specification based on the customers' body shape. This study developed regression equations on body size specifications, which in turn proposed a regression model to proportionately change size specifications of 3D fitting-models. Based on the each body size calculated by the regression model, a standard model is created, and the skeleton-skin algorithm is applied to the regression model to obtain the results of size changes. Then, the 3D model sizes are tested for size changes as well as measured, which verifies that the regression model reflects body size changes.

• Journal of Fashion Business
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• v.11 no.5
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• pp.155-164
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• 2007

Viscose rayon has advantages such as vivid luster, good dyeability, low static electricity, good absorbance and good spinnability but also has flaws such as easy crease and decrease of physical properties when it gets wetting, and it requires dry cleaning. Therefore in order to synthesize the polymer to solve the problems of rayon while keeping the advantages of it, this study made the high specific gravity polyester for ultra drape property and high contraction polyester for rayon-like fiber having volume, soft and warm sense. The polyester with high specific gravity, 1.47 was made by adding 7 wt% of $BaSO_4$ as additive. High contraction polyester was made by copolymerization by using IPA 5 mole% to increase the amorphous region as comonomer and also using Newpol BPE-20(NPE) 1.5 wt% not to decrease the properties.

• Journal of Fashion Business
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• v.21 no.3
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• pp.1-13
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• 2017

Ralph Rucci, the first American designer who presented official collections at Paris Couture since Mainbocher, is known for his innovative dressmaking techniques and sculptural forms. Accompanied by literature survey, this study examines the aesthetics of Ralph Rucci's designs by content analysis of his works, Rucci's designs since his debut collection of 1994 until he left the Chado Ralph Rucci label in 2014 and his returning collection under the new label, RR331, in 2016. Ralph Rucci developed his creative designs by the following strategies: First, he reinvents the couture tradition of Balenciaga and $Gr{\grave{e}}s$ into progressive and functional American couture in that he gives consideration to a wearer's movements and comforts. Second, Rucci constructs architectural volume based on human anatomy and architectonic strategies, with the attention to three-dimensional quality of the space built between the body and a garment. Third, he conducts engineered construction summarized by his original 'suspension' techniques, which function as both ornamentation and construction.

• The International Journal of Costume Culture
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• v.12 no.2
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• pp.107-120
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• 2009

This research extracted and analyzed 54 papers on knit field published in "The Research Journal of the Costume Culture", "Journal of The Korean Society of Clothing and Textiles", "The Journal of The Korean Society of Costume", "The Science and Technology of Clothing Appearance and Fit", "Journal of The Korean Society of Design Culture", "Textile Science and Engineering (Formerly Journal of the Korean Fiber Society", "Journal of The Korean Society for Clothing Industry", "Journal of the Korean Living Science Association", and "Journal of The Korean Home Economics Association" to analyze papers on knit field in textile science in depth. The result of the research shows that the number of papers is small compared to other fields and it is being researched limitedly due to relatively high ratio of subjects such as designs and patterns, knit hand assessment, and manufacturing fashion trends.

• Fibers and Polymers
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• v.2 no.1
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• pp.144-147
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• 2001

The HVI properites and Mantis single fiber tensile properties were analyzed to evaluate the relationship between fiber and bundle tensile properties. For this study, a new method has been developed for estimating the modulus and toughness of cotton fiber bundles directly from the HVI tenacity-elongation curves. The single fiber tensile properties were shown to be translated well into the bundle tensile properties. The single fiber breaking elongation was found to be the most significant contributing factor to bundle tensile properties. The bundle breaking elongation and toughness were shown to increase as the single fiber breaking elongation increased. The bundle modulus increased as the single fiber breaking elongation and/or standard deviation of single fiber breaking elongation decreased.

• Fibers and Polymers
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• v.4 no.4
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• pp.145-150
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• 2003

Polypropylene nonwoven fabrics were exposed to He/$O_2$ atmospheric pressure glow discharge plasma. Surface chemical analysis and contact angle measurement revealed the surface oxidation by formation of new functional groups after plasma treatment. Weight loss (%) measurement and scanning electron microscopy analysis showed a significant plasma etching effect. It was investigated in low-stress mechanical properties of the fabrics using Kawabata Evaluation System (KES-FB). The surface morphology change by plasma treatment increased surface friction due to an enhancement of fiber-to-fiber friction, resulting in change of other low-stress mechanical properties of fabric.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2002.05a
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• pp.366-372
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• 2002

본 연구는 제 1보와 2보로 구성되었으며, 본 연구의 목적은 1) 동작 인식형 입력기술에 기반한 디지털웨어(이하, DMDI로 약칭함)의 의류상품화 가능성을 탐색하고, 2) 소비자의 잠재적 수요에 기초하여 DMDI의 디자인을 개발하는 것이다. 제 1 보에서는 소비자의 DMDI 에 대한 잠재수요를 고찰하기 위하여, 디자인 에스노 그래피적 견지에 기초하여 개발된 심층면접 방식 및 범주분석 방식을 취하였다 그 분석 결과를 토대로 하여, DMDI를 위한 7가지의 가능성있는 애플리케이션 영역과 DMDI의 6가지 디자인 방향이 제안되었으며, 이를 토대로 디자인 프로토타입 개발을 위한 기본형 디자인을 제시하였다. 제 2보에서는 제 1보의 결과를 토대로 하여 DMDI의 디자인 프로토타입을 개발하였다. 본 학술발표는 제 1보의 내용을 중심으로 하여 DMDI에 대한 소비자 수요의 분석결과와 DMDI를 위한 기본형 디자인을 주요 내용으로 구성하였다.