• Fashion & Textile Research Journal
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• v.21 no.5
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• pp.665-676
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• 2019

This study provides basic data for future design proposals aimed at improving the uniforms and bullet/stab proof garments of local police. An analysis was conducted on various aspects of the uniforms used until 2015 and those newly introduced in 2016. Current bullet/stab proof garments were compared with old stab proof garments; in addition, police force posting on the internal SNS were analyzed in regards to the improvement needs for uniforms. Analyses results are as follows. As for the uniforms, convenience was improved by eliminating the necktie, and the four trigrams embroidery was added to emphasize the Korean identity. Cargo-style pants were added for enhanced activity, and the color of the top was changed to turquoise to improve discrimination. In terms of material, durable polyester was used heavily in outside uniforms that were likely to be damaged during work; consequently, the percentage of elastic materials was increased for improved activity. The price showed a high increase rate due to inflation and the use of functional new materials. Complaints and demands for improvement continued despite various modifications made to uniforms and suggested a strong need for further improvements that reflected the opinions of wearers. As for the protective garments, there was a limit to reducing the final weight despite the use of lightweight material because of protection performance enhancements made from expanding the protection surface area. Also, considering further decrease in supply rate, it was deemed necessary to secure budget for full supply of bullet/stab proof garments.

• BMB Reports
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• v.54 no.9
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• pp.476-481
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• 2021

Liver receptor homolog-1 (LRH-1) has emerged as a regulator of hepatic glucose, bile acid, and mitochondrial metabolism. However, the functional mechanism underlying the effect of LRH-1 on lipid mobilization has not been addressed. This study investigated the regulatory function of LRH-1 in lipid metabolism in maintaining a normal liver physiological state during fasting. The Lrh-1^f/f and LRH-1 liver-specific knockout (Lrh-1^LKO) mice were either fed or fasted for 24 h, and the liver and serum were isolated. The livers were used for qPCR, western blot, and histological analysis. Primary hepatocytes were isolated for immunocytochemistry assessments of lipids. During fasting, the Lrh-1^LKO mice showed increased accumulation of triglycerides in the liver compared to that in Lrh-1^f/f mice. Interestingly, in the Lrh-1^LKO liver, decreases in perilipin 5 (PLIN5) expression and genes involved in β-oxidation were observed. In addition, the LRH-1 agonist dialauroylphosphatidylcholine also enhanced PLIN5 expression in human cultured HepG2 cells. To identify new target genes of LRH-1, these findings directed us to analyze the Plin5 promoter sequence, which revealed -1620/-1614 to be a putative binding site for LRH-1. This was confirmed by promoter activity and chromatin immunoprecipitation assays. Additionally, fasted Lrh-1^f/f primary hepatocytes showed increased co-localization of PLIN5 in lipid droplets (LDs) compared to that in fasted Lrh-1^LKO primary hepatocytes. Overall, these findings suggest that PLIN5 might be a novel target of LRH-1 to mobilize LDs, protect the liver from lipid overload, and manage the cellular needs during fasting.

• Journal of the Korea Convergence Society
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• v.12 no.1
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• pp.163-170
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• 2021

Smart-textronics technology which enables functional textiles has recently been applied in various fields such as smart clothes, smart home and smart health care, and a variety of smart-textronics products have been developed. In this context, the smart-textronics product development process is proposed based on the systematic participatory design method in this paper. The proposed method consists of two phases: in-depth interviews and analyzing. In the phase of in-depth interviews, participants are asked to create journey maps that include activities, pain points and emotional status and to generate solution ideas with sketches and simple prototypes. In the analyzing phase, design researchers investigate the participants' journey maps, and create personas by identifying critical characteristics with the behavior pattern analysis. Then, each persona's needs are linked with value elements of the E3 value framework. Finally, pre-survey was conducted to identify smart-textronics market and a smart sofa design is proceeded as the case study to show the applicability of the proposed method.

• Journal of the Korean Institute of Rural Architecture
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• v.23 no.4
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• pp.21-29
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• 2021

The purpose of this study is to present the basic direction of the desirable spatial plan for elderly care facilities by analyzing the spatial characteristics of elderly care facilities in gyeongnam-province. As a research method, 189 elderly care facilities in gyeongnam-province were investigated for location conditions, site area, floor area, total floor area, and space composition. In addition, the area of each specific space was analyzed for two elderly care facilities with a typical floor plan. The results of the survey and analysis are as follows. First, the average number of people in the facility was 53.8, and the number of people in the facility needs to be planned to be medium or less so that they can live in a more comfortable environment in the future. Second, in the location type, it was found that many facilities were distributed in the order of suburban and rural type, urban type, mountain type, and waterfront type. In addition, in terms of facility space composition, the proportion of detached facilities was 50.8%. Complex facilities require a reasonable plan in consideration of the location type and other functional facility characteristics. Third, the average total floor area per person of elderly care facilities was 27.57m². There is a limit to constructing a unique nursing space. In the composition of bedrooms, quadruple rooms account for 67.4%, but it is necessary to expand the proportion of bedrooms that can be used by fewer people.

• Journal of radiological science and technology
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• v.45 no.2
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• pp.151-158
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• 2022

The Cardiac Gated Blood Pool (GBP) scintigram, a nuclear medicine imaging, calculates the left ventricular Ejection Fraction (EF) by segmenting the left ventricle from the heart. However, in order to accurately segment the substructure of the heart, specialized knowledge of cardiac anatomy is required, and depending on the expert's processing, there may be a problem in which the left ventricular EF is calculated differently. In this study, using the DeepLabV3 architecture, GBP images were trained on 93 training data with a ResNet-50 backbone. Afterwards, the trained model was applied to 23 separate test sets of GBP to evaluate the reproducibility of the region of interest and left ventricular EF. Pixel accuracy, dice coefficient, and IoU for the region of interest were 99.32±0.20, 94.65±1.45, 89.89±2.62(%) at the diastolic phase, and 99.26±0.34, 90.16±4.19, and 82.33±6.69(%) at the systolic phase, respectively. Left ventricular EF was calculated to be an average of 60.37±7.32% in the ROI set by humans and 58.68±7.22% in the ROI set by the deep learning segmentation model. (p<0.05) The automated segmentation method using deep learning presented in this study similarly predicts the average human-set ROI and left ventricular EF when a random GBP image is an input. If the automatic segmentation method is developed and applied to the functional examination method that needs to set ROI in the field of cardiac scintigram in nuclear medicine in the future, it is expected to greatly contribute to improving the efficiency and accuracy of processing and analysis by nuclear medicine specialists.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.2
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• pp.147-165
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• 2022

The purpose of this study is to examine various types and characteristics of masks and to consider what meanings they have in the recent fashion world. To this end, this study attempts to reflect on the internal meaning of masks exhibited in fashion designers' collections rather than functional meanings. It has an implication; in that it tries to help understand the expressive needs for variety and freshness pursued by modern fashion and use the unique design development to understand the internal meanings of masks. It, therefore, examines the existing domestic and foreign literature and data about masks from a theoretical perspective, and also attempts to draw findings from the data of fashion collections which have been held since the 2000s, as well as from literature research based on books about fashion and various other media. The meanings of masks in the field of fashion are as follows: First, they express identity, by criticizing the couture fashion, through the fashion. Second, they present a new concept of body, showing an illogical and ambiguous identity in which both feminine and masculine images coexist. Third, they are media externally communicating insights about human beings' inner world, through which various messages are transferred to modern people who are attached to external appearances, and the identities possessed by designers are revealed by the masks. Fourth, they ask about a boundary between gender and sexuality, as a means to make us concentrate on the important social issue, while expressing various and new identities, like the hybrid identity. In other words, they can be found to be used as effective media in communicating fashion massages intended by fashion experimental and creative designers.

• Journal of Fashion Business
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• v.26 no.1
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• pp.1-15
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• 2022

Digital transformation has induced changes in human life patterns; consumption patterns are also changing to digitalization. Entering the era of industry 4.0 with the 4th industrial revolution, it is important to pay attention to a new paradigm in the fashion industry, the shift from developer-centered to user-centered in the era of the 3rd industrial revolution. The meaning of storing users' changing life and consumption patterns and analyzing stored big data are linked to consumer sentiment. It is more valuable to read emotions, then develop and distribute products based on them, rather than developer-centered processes that previously started in the fashion market. An AI(Artificial Intelligence) deep learning algorithm that analyzes user emotion big data from user experience(UX) to emotion and uses the analyzed data as a source has become possible. By combining AI technology, the fashion industry can develop various new products and technologies that meet the functional and emotional aspects required by consumers and expect a sustainable user experience structure. This study analyzes clear and useful user experience in the fashion industry to derive the characteristics of AI algorithms that combine emotions and technologies reflecting users' needs and proposes methods that can be used in the fashion industry. The purpose of the study is to utilize information analysis using big data and AI algorithms so that structures that can interact with users and developers can lead to a sustainable ecosystem. Ultimately, it is meaningful to identify the direction of the optimized fashion industry through user experienced emotional fashion technology algorithms.

• Journal of Fashion Business
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• v.27 no.3
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• pp.50-62
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• 2023

The e-commerce fashion market has experienced a remarkable growth, leading to an overwhelming availability of shared information and numerous choices for users. In light of this, chatbots have emerged as a promising technological solution to enhance personalized services in this context. This study aimed to develop user-product attributes for a chatbot-based personalized fashion recommendation service using big data text mining techniques. To accomplish this, over one million consumer reviews from Coupang, an e-commerce platform, were collected and analyzed using frequency analyses to identify the upper-level attributes of users and products. Attribute terms were then assigned to each user-product attribute, including user body shape (body proportion, BMI), user needs (functional, expressive, aesthetic), user TPO (time, place, occasion), product design elements (fit, color, material, detail), product size (label, measurement), and product care (laundry, maintenance). The classification of user-product attributes was found to be applicable to the knowledge graph of the Conversational Path Reasoning model. A testing environment was established to evaluate the usefulness of attributes based on real e-commerce users and purchased product information. This study is significant in proposing a new research methodology in the field of Fashion Informatics for constructing the knowledge base of a chatbot based on text mining analysis. The proposed research methodology is expected to enhance fashion technology and improve personalized fashion recommendation service and user experience with a chatbot in the e-commerce market.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.81-90
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• 2024

The purpose of this study is to examine the possibility of combining DOOH advertising, which has fully met the functional requirements of a standalone digital medium, with transmedia storytelling as a expansion of a new advertising area. This researcher examined the concept of transmedia storytelling used in various fields and its application cases in dramas, movies, and webtoons, and analyzed examples of transmedia storytelling approaches in the field of advertising. As a result of the analysis, it was analyzed that although OOH advertising has brought many changes in the way of content implementation with the advent of digital signage, DOOH advertising needs to be approached in a more diverse way in a situation where the boundaries that were considered to be the unique domain of each content are blurring. In particular, it has been analyzed that it can not only fulfill its role as an independent medium but also expand the scope of DOOH advertising by combining it with transmedia storytelling enthusiasts. These results suggest the need to incorporate DOOH advertising with transmedia storytelling strategies.

• Journal of the korean academy of Pediatric Dentistry
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• v.39 no.3
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• pp.306-313
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• 2012

Class III malocclusion or anterior crossbite is commonly seen in Asian. This problem is easily recognized by dentists and parents. During the primary dentition period, anterior crossbite with functional shift and deep overbite could develop to skeletal protrusive mandible. So, early and proper diagnosis of anterior crossbite which needs prompt treatment is important. These cases showed the early management of crossbite with functional shift in primary dentition using intraoral removable appliance resulting in improvement of intermaxillary relationship. And I analyzed the positional change and the dimensional change during treatment with lateral cephalometric x-ray analysis. Our patients showed vertical dimensional change of lower anterior facial height and clockwise rotation which results crossbite correction in 1 year of treatment period.