• Korean Journal of Human Ecology
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• v.18 no.2
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• pp.465-476
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• 2009

The purpose of this study is to investigate recognition degree and acceptability of fashion trends of new consumers who live in digital era, and to determine how these factors have influence on their use of fashion trend information. The study was conducted with 696 people from 15 to 34 years old. A self-administrated questionnaire based on the results of previous researches was developed. The data were analyzed with statistical analyses such as frequency analysis, mean, factor analysis, t-test, ANOVA, correlation and regression analysis. The results are as follows: first, new digital consumer's recognition degree (RD) of fashion trends is 7.85 on the average, given that the top of scale is 20.0, it is quite low. Of fashion trend RD, fashion item RD is the highest. The female subjects recognize fashion trends better than the male subjects. Second, fashion trend acceptance of new digital generation is classified into 5 factors: 'search acceptance', 'lead acceptance', 'follow acceptance', 'non-acceptance', and 'delay acceptance'. The female subjects show higher degree in the factors of 'search acceptance', 'lead acceptance' and 'follow acceptance' of fashion trend than the males; hence it means that the females have more positive attitudes in fashion trend acceptance than the males. Third, there are significant differences between genders in the fashion information utilization. Compared to the males, the females more use fashion information on style, fabrics and color. Concludingly, their fashion trend recognition degree and acceptance made an influence in part on their utilization of fashion information.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.39-60
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• 2019

The purpose of this study is to examine new types of political participation using the new media of digital convergence generation. For this purpose, groups were classified according to age and characteristics of media usage to investigate whether there are differences in media-related tendencies, SNS and characteristics of Smartphone usage political-related characteristics, and political participation by types. The results of the study is that the media usage characteristics by generation showed a difference between groups according to the high and low motivation for using media, and there was a generation differences in politics-related characteristics and types of political participation. Digital generation showed lower political involvement, political efficiency and offline political participation than Web 1.0 generation. In addition, political efficacy showed the moderating effect that had the greatest effect on political participation by types.

• The Research Journal of the Costume Culture
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• v.28 no.6
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• pp.830-844
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• 2020

The fourth Industrial Revolution, known as digital transformation, has made MZ generation to be the focus of the new consumer market, brought about the use of technological platforms a new consumption method. Currently, as various types of content collaboration are emerging that specifically targeting at the MZ generation. Content collaboration are considered an integration of content to create new values through co-existence and co-prosperity. This study identified the characteristics of collaboration of fashion brands from 2018 using literature and online news articles, and identified and classified through case studies of it determined movie content, game and virtual characters. By this research, it shown that collaboration with movie contents have increased the collaborative synergy by using the story in global media content. Collaboration with mobile games was generally used by young casual and sportswear brands. These brands which utilized characters from mobile games popular with to attract more teen consumers and strengthen brand awareness by adding values of high-technology and scarcity to the familiar images. In addition, collaboration with virtual characters has expanded value of the collaborative approach on expanding the range of advanced digital technology, from a promotional strategy during the distribution process through to the use of virtual models. As such, collaboration using the various types of content has developed beyond simple integration of identities among various areas, integrated products or brands that as a new value.

• ETRI Journal
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• v.45 no.4
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• pp.636-649
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• 2023

Renewable energy generation cannot be consistently predicted or controlled. Therefore, it is currently not widely used in the electricity market, which requires dependable production. In this study, reliability- and variance-based controls of energy storage strategies are proposed to utilize renewable energy as a steady contributor to the electricity market. For reliability-based control, photovoltaic (PV) generation is assumed to be registered in the power generation plan. PV generation yields a reliable output using energy storage units to compensate for PV prediction errors. We also propose a runtime state-ofcharge management method for sustainable operations. With variance-based controls, changes in rapid power generation are limited through ramp rate control. This study introduces new reliability and variance indices as indicators for evaluating these strategies. The reliability index quantifies the degree to which the actual generation realizes the plan, and the variance index quantifies the degree of power change. The two strategies are verified based on simulations and experiments. The reliability index improved by 3.1 times on average over 21 days at a real power plant.

• The Research Journal of the Costume Culture
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• v.17 no.2
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• pp.238-254
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• 2009

The purpose of this study were to examine fashion information acceptance and fashion information sources and to analyze the difference according to clothing shopping orientation among digital generation male consumers. The subject were 349 male who were belonging to digital generation as the digital era's new consumers familial with internet and various kinds of digital media. A self-administrated questionnaire was developed based on the results of previous researches. The data were analyzed by using frequency analysis, factor analysis, cluster analysis, ANOVA, Duncan test, $\chi^2$ test, multiple regression analysis by SPSS WIN 12.0 package. The results of this study are as follows: First, clothing shopping orientation of digital generation males were classified into 6 factors: fashion oriented, impulse buying, aesthetic pursuit, individuality pursuit, practical type and reasonable economy. Based on the factor scores, 3 clusters were identified; independent, unconcern, high involvement. Second, the high involvement shopping group utilized various information sources. On the other hand, the unconcerned shopping group was passive in utilizing information sources. Third, the fashion information acceptance of digital generation was classified into 5 factors: searching, leading, following, non-accepting, and delaying acceptance. All fashion information acceptance factors were affected by the information and communication media. Finally, The high involved type of shopping group accepted fashion information at its most and actively.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.351-355
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• 2006

1990년대 후반 이후 등장한 N세대 N generation라는 신조어는 넓게는 '10대 후반과 20대 초반의 새로운 세대'라는 'new'의 개념에서의 N세대 new generation를, 좁게는 '네트워크 network를 자유자재로 다루는 세대' 또는 '네트워크 속에서 생활하는 세대' 라는 '디지털 유저 digital user'의 개념에서의 N세대 network generation를 의미한다. 다시 말해, N세대는 디지털 디바이스의 정보와 지식을 바탕으로 자유롭게 디지털 세상을 넘나드는 젊은 디지털 유저 층이다. 본 연구의 목적은 디지털 디바이스 프로덕트 광고의 한 사례를 기호학적으로 분석하여 '"디지털 디바이스+ N세대=디지털 코드"라는 광고공식'과 '외연과 내연이 합해져 "기술적 시니피앙과 감성적 시니피에"의 상호작용적 조합 interaction'을 찾아보는 것에 있다. 여기서는 광고 분석의 사례로써 삼성 KENOX V4 광고를 이용한다. KENOX V4 는 N세대를 겨냥한 디지털 디바이스 프로덕트이며, 이 광고는 '외국 브랜드를 제압하는 의미의 V'라는 코드를 사용하고 있다. 자기만의 주장을 당당하게 할 줄 아는 N세대가 소년기에 가졌던 한국이라는 자부심이 그가 성인기에 들어선 이후에도 V라는 승리의 표상으로 나타나고 있는 것이다. V4 광고의 이미지는 N세대를 상징하는 강력한 '디지털 코드digital code'를 담아내고 있으며, 그 V4의 메시지는 '4백만 화소'라는 '기술적 시니피앙 technological significant'과 '4가지 승리'라는 '감성적 시니피에 emotional signifie'의 상호작용적 조합을 구성하고 있다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.9
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• pp.1728-1734
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• 2009

This paper proposes a new power conditioning system for the fuel cell power generation, which consists of a ZVS DC-DC converter and 3-phase inverter. The ZVS DC-DC converter with a digital controller boosts the fuel cell voltage of 26-50V up to 400V, and the grid-tie inverter controls the active power delivered to the grid. The operation of proposed power conditioning system was verified through simulations with PSCAD/EMTDC software. The feasibility of hardware implementation was verified through experimental works with a laboratory prototype, which was built with 1.2kW PEM fuel-cell stack, 1kW DC-DC converter, and 3kW PWM inverter. The proposed system can be utilized to commercialize an interconnection system for the fuel-cell power generation.

• Journal of Advanced Navigation Technology
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• v.13 no.6
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• pp.984-990
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• 2009

Halftoning is very important image processing techniques in the digital printing industry which is a process of converting a continuous-tone image to bi-level tone image. In this paper we introduce a new digital halftoning method based on maze generation algorithm as a replacement algorithm of halftoning with space-filling curve. Previous error-diffusion methods based on space-filling curve suffer from regular pattern artifacts from uniform scan pattern. We use maze generation algorithm to remove this undesirable pattern of space-filling curve method.

• Journal of Fashion Business
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• v.27 no.1
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• pp.77-109
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• 2023

This study attempted to understand current status of overseas virtual fashion brands and analyze attributes of common digital fashion brands. Based on brand analysis criteria of previous studies, digital fashion brands were analyzed for brand concept, price range, characteristic elements, and attributes. Digital fashion design elements of items, colors, materials, patterns, and effects were analyzed by collecting images of brands' digital fashion design products. Digital fashion brands could be divided into experimental and creative digital fashion brands and digital fashion brands aiming for popular brands. This study introduces a creative fashion collection that experiments sustainability and future value. It shares a new way of self-expression and a playful culture centered on the younger generation. In terms of fashion design elements, fashion items were similar to the existing fashion category, but included other accessories that reflected the lifestyle of Generation Z. Silhouette expressed a minimalistic futuristic image centered on straight silhouettes. Color showed a bold and modern color image through black and color contrast. Unique patterns reflecting the concept of the brand appeared, centering on abstract and geometric patterns. Regarding materials and effects, new elements differentiated from existing fashion design area, showing meaningful characteristics. Digital materials are developed and proposed for sustainability. Materials (such as metal, glass, plastic) and effects (such as weightlessness, flames) expand impossible senses in reality and enable new fashion experiences. This is a case study of digital fashion brands. It is meaningful in that it identifies characteristics and discusses their values and meanings.

• International journal of advanced smart convergence
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• v.11 no.4
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• pp.47-56
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• 2022

Recently bank card number recognition plays an important role in improving payment efficiency. In this paper we propose a new bank-card number identification algorithm. The proposed algorithm consists of three modules which include edge detection, candidate region generation, and recognition. The module of 'edge detection' is used to obtain the possible digital region. The module of 'candidate region generation' has the role to expand the length of the digital region to obtain the candidate card number regions, i.e. to obtain the final bank card number location. And the module of 'recognition' has Convolutional deep learning Neural Network (CNN) to identify the final bank card numbers. Experimental results show that the identification rate of the proposed algorithm is 95% for the card numbers, which shows 20% better than that of conventional algorithm or method.