The aim of this study was to analyze the semantic network structure of keywords and the visual composition of images extracted from Instagram in relation to the multipersona phenomenon with in fashion imagery, which has recently been attracting attention. To this end, the concept of a ‘secondary character’, which forms a separate identity from a ‘main character’ on various social media platforms as well as on the airwaves, was considered as the spread of multi-persona and #SecondaryCharacter on Instagram was investigated. 3,801 keywords were collected after crawling the data using Python and morphological analysis was undertaken using KoNLP. The semantic network structure was then examined by conducting a CONCOR analysis using UCINET and Netdraw to determine the top 50 keywords. The results were then classified into a total of 6 clusters. In accordance with the meaning and context of the keywords included in each cluster, group names were assigned : virtual characters, relationship with the main character, hobbies, daily record, N-job person, media and marketing. Image analysis considered the technical, compositional, and social styles of the media based on Gillian Rose’s visual analysis method. The results determined that Instagram uses fashion images that virtualize one's face to produce multi-persona representation s that show various occupations, describe different types of hobbies, and depict situations pertaining to various social roles.

In this study, in order of to reflect the mold deformation in the injection molding process to design of mold, the mold deformation was analyzed by performing flow and structural analysis. The 5 inch LGP(light guide plate) mold, platen and tie bar were modeled and applied to the analysis. The result of melt pressure from flow analysis was extracted for use as boundary conditions acting on the mold surface in the structural analysis. In order to evaluate the accuracy of simulation analysis results, injection molding was performed under the process conditions of simulation. As a results, the mold deformation during injection molding tends to be similar that of injection pressure, and it is confirmed that it shows the behavior and properties of melt resins. Compared with the simulation and experiment, the error of the maximum mold deformation in the injection phase was 4.20%.

The goal of this study was to develop a haptic communication system that can convey the tactile sensation of fashion materials in a virtual environment. In addition, the effectiveness and how realistically the virtual fabric image of this system delivers the tactile sensation of actual fabric was verified. First, a literature review was conducted through which the tactile attributes of fashion materials were defined that would be implemented in the haptic communication system. Then, a questionnaire for evaluating the tactile attributes of fashion materials was developed. Next, a haptic communication system was designed to convey fashion image experiences in a virtual environment, from which a haptic rendering model was suggested. The effectiveness of the haptic communication system was evaluated by verifying user experiences with questions developed through a user evaluation experiment. The validity of the evaluation questions pertaining to the tactile attributes and the effects of the haptic communication system were verified. Factor analysis was conducted to verify the evaluation of the tactile sense attributes of the fashion material, which identified density, thickness, and elasticity of the material as key factors. As a result of comparisons between the tactile sense through haptic characteristics and through touching, it was observed that regarding density and thickness, tactile sense experience led to greater perceived reality, while this was not the case for elasticity.

Upcycling is the process of repurposing abandoned resources or useless products into products of better quality or higher environmental value. Upcycling products are evaluated to be sustainable because they demonstrate environmental values. However, domestic upcycling companies are operating on a small scale with a slow growth rate. This study aims to examine the value and risk factors of upcycling products from previous literature and clarify the effect of these ambivalent characteristics on purchase intention. This provides direction regarding factors upcycling companies should focus on. The data were collected via an online experiment with women in their 20s and 30s residing in South Korea, nationwide. The data were statistically analyzed using SPSS 21.0 and AMOS 18.0. Analysis of this data suggests that environmental, design, and self-expression value positively affect purchase intention. This extends previous upcycling literature by identifying design and self-expression value as important antecedents of purchase intention. However, in contrast to previous literature, no significant effect of performance or diversity risk was found. These results indicate that ethical attitude has a moderating effect on the relationship between environmental value and purchase intention. This study confirms that consumers intend to purchase upcycling products when they possess not only environmental value but also design and self-expression value.

The number of hand knitters has increased dramatically in the past few years. Recently, various hand knitted items have been seen in many fashion collections. The main purpose of this study is to analyze the design features of hand knitted items in the collections from Daniela Gregis. This brand was selected because it featured knitted items in its collections every season. An empirical analysis about form, material, color and knitting technique was done for hand knitted items from Daniela Gregis’ collections from 2012 S/S to 2018 S/S. The results can be summarized as follows: In terms of form, garments such as pullovers, cardigans, and shawls used basic components, and accessories such as bags, mufflers, hats, and decorative pieces had various shapes. In the material, there were many items that expressed unique textures by combining various materials such as a mix of fabric and yarn. With regards to color, orange, yellow, and red were mainly used as accent colors, and combinations of two or more colors were prominent in the items. In terms of knitting technique, the methods used in the collections were mostly simple and basic. Among various techniques, plain knitting, garter knitting, and single crochet methods were mainly used. While this study is limited to the characteristics of hand knitted items from a single brand, therefore cannot be generalized for all knit fashion, the study provides basic data that could facilitate the revitalization of the hand knitting industry and expand the application range of hand knitting techniques.

Cost for plant survey has been dramatically reduced due to the development of mobile technology to obtain pictures with their GPS coordination. We developed a PlantGPS system consisting of an Android application specialized for collecting plant pictures and their locations using mobile devices, a server-side component for uploading data, and a web-based interface for managing and analyzing data. As examples of application of our PlantGPS system, surveys of “plants in Nangsae (Daksum) Island” and “ferns in Chollipo arboretum” were conducted. Results showed that our PlantGPS system could be used to quickly survey plant distribution in restricted area with reasonable time and effort.