• Management & Information Systems Review
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• v.38 no.1
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• pp.23-41
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• 2019

Smart Factory is different from existing factory automation in that it aims to produce personalized products with minimum time and cost through ICT. However, previous researches, not from consumers but from product suppliers, have focused on technology trends and technology application methods. In order for Smart Factory to be successful, it must go beyond supplier-focus to meet the needs of consumers. In this study, we surveyed the purchase intention of the personalized product manufactured by smart factory. Influencing factors of purchase intention were drawn as consumers' need for uniqueness, innovativeness, need for touch, and privacy concern, based on previous research. As results of data analysis, it was confirmed that respondents were willing to purchase personalized products, and that consumers' need for uniqueness, innovativeness, and need for touch had a significant impact on purchase intention of personalized products. Our findings can be summarized as follows. First, Consumers' need for uniqueness was found to have positive effects(${\beta}=0.168$) on purchase intention of personalized products. The desire to differentiate themselves from others will be reflected in their personalized products. Therefore, consumers with a higher desire for uniqueness tend to be more willing to purchase personalized products. Second, consumer innovativeness was found to have positive effects(${\beta}=0.233$) on purchase intention of personalized products. Personalized shoes suggested in this study is a new type of personalized product that is manufactured by the latest information and communication technologies such as multi-function robots and 3D printing. Therefore, consumers seeking innovative new experiences are more willing to purchase personalized products. Third, need for touch was found to have positive effects(${\beta}=0.299$) on purchase intention of personalized products. In a smart factory environment, prosuming participation is given to consumers. If consumers participate in the product development process and reflect their requirements on the product, they are expected to increase their purchase intention by virtually satisfying the need for touch. Fourth, privacy concern was found to have no significantly related to purchase intention of personalized products. This is interpreted as a willingness to tolerate the risk of exposing personal information such as home address, telephone number, body size, and preference for consumers who feel highly useful in personalized products.

• The Journal of Society for e-Business Studies
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• v.20 no.1
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• pp.23-43
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• 2015

Information and communications technology facilitates collaboration among individuals by functioning as an open platform for open collaboration projects. In this regard, this study aims to understand the network characteristics of participants who contribute greatly to open collaboration by investigating the mutual cooperation network in an open source project, which represents a form of open collaboration based on social network theory. To achieve this objective, this study analyzes the network centrality of developers with a high number of commits, particularly 8,101 developers in 782 repositories in GitHub, a representative open source platform. This study also determines how the relationship between network centrality and number of commits depends on the size of a repository network and the presence of a hub. Consequently, the number of commits by developers with high degree, betweenness, and closeness centrality is increasing. Among which, betweenness centrality has the highest explanatory power. Furthermore, when a hub is present and as network size increases, the relationship between the betweenness centrality of a developer and his/her number of commits continues to grow. This study is expected to provide suggestions for the successful performance of open collaboration projects in the future.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.6
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• pp.841-852
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• 2009

The aim of the study was to quantify and explore the causal relationships of appearance management through an analysis of one's own clothing and wearing experience, namely clothing preference, personality factors, emotion and mood, newness, familiarity of one's own clothing, and social interaction. Explorative quantitative and qualitative research was carried out using a uniformly composed sample of 10 size 12 females. A personality questionnaire was completed a short while prior to the study. A 10 day ‘wearing diary’ was administered to record where and when outfits were worn. Two questionnaires were completed measure emotion and mood, prior to changing into clothing (a daily baseline), and when they were wearing or changed clothing (dynamic mood). Qualitative information was recorded and included their thoughts and feelings other than the questionnaires, along with photographs that were taken by participants. Preference, social and newness ratings for each outfit worn were recorded after the 10 day period. SPSS analysis identified relationships and linear regression analysis identified preference indicators. Thematic analysis identified 9 themes regarding the management of mood, personality and social factors when wearing one's own clothing. The results indicated strong relationships between emotion, mood, personality and preference and how much newness and different levels of social interaction influence these factors. Participants tended to match their mood and personality with their clothing choices but in some cases also compensated. This research recognises the value of consumer psychological processes involved in appearance management, and has implications for further research into product involvement, post-purchase behaviour and retail strategies for personal shoppers.

• The Journal of the Korea Contents Association
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• v.6 no.11
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• pp.182-189
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• 2006

Consumers can choose suitable shoes for their feet in off-line shopping. However, in on-line shopping, because they can not wear shoes, compare to the off-line shopping, there are many problems in internet shopping. And the solution of user-oriented internet shopping is development of new type of prototype which is accessible to user and to offer visual information through 3D-virtual reality. We made this Prototype that the consumer can measure their own shoes size. And the consumer can print out their foot size in the internet database and measure their own foot size and type. And we maximized the visual experience though it is indirect and then we wanted to overcome a emotional experience in the real world. we visualized first, 'the softness' of shoes meterial, second 'the drainage' in the realtion of shoes meterial and water, third 'the close adhesion' in the realtion of shoes and consumer's their own foot and last 'the elasticity' in the relation of the shoes outer sole and surface. The result of this research can solve the problem in the existing on-line shoes' shop and it will become an alternative plan. And this prototype just will not become the localization at the on-line shoes' shop. In true sense, it will be an important example in the whole internet industry.

• The Journal of the Korea Contents Association
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• v.10 no.5
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• pp.115-123
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• 2010

Because of development of information technology, moving picture can run various platforms. We should consider and apply users' attitude as well as production technique because convergence between mobile and media technology may be increased full-browsing service using mobile device. Previous research related to production technique in various platforms only focus on video quality and adjustment of screen size. However, besides of technical side, production techniques should be changed such as image production as well as image editing by point of view aesthetic. Mise-en-scene such as camera angle, composition, and lighting is changed due to HD image. Also image production should be changed to a suitable full-browsing service using mobile device. Therefore, we would explore a new suitable production techniques and image editing for smart phone. To propose production techniques for smart phone, we used E-learning production system, which are transition, editing technique for suitable converting system. Such as new attempts are leading to new paradigm and establishing their position by applying characteries such as openness, timeliness to mobile. Also it can be extended individual area and established as expression and play tool.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.289-289
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• 2012

터치패널은 키보드나 마우스와 같은 입력장치를 사용하지 않고, 스크린에 손가락, 펜 등을 접촉하여 입력하는 방식이다. 누구나 쉽게 입력할 수 있는 장점으로 인해 기존에는 현금인출기, 키오스크 등 공공분야에 주로 많이 사용되어 왔으나, 최근의 터치스크린은 휴대폰, 게임기, 네비게이션, 노트북 모니터 등 개인정보기기의 입력장치로 활용분야가 넓어져가고 있다. 최근의 정전용량 방식의 터치패널은 디스플레이 패널 위에 올여지는 형태의 Add on type이며, 테블렛의 출현으로 터치패널의 사이즈가 커지면서 인듐산화물 투명성 전도막의 두께가 두꺼워지고, 이로 인하여 광학적 특성인 투과율이 저하되는 문제가 발생하여 투과율을 높여주기 위한 새로운 전도박막 제조방법이 요구되는 상황이다. 현재의 고글절 산화물(TiO2)과 저굴절 산화물(SiO2)의 적층형태의 저반사 특성의 다층막은 주로 플라즈마 보조의 전자빔 증착기를 이용하여 제조되기 때문에, 저반사 특성이 우수하지만 대면적 크기의 대량생산에는 적합하지가 않다. 그리고 태양전지의 에너지 변환효율도 태양전지로 흡수되는 태양광의 량에 크게 의존하기 때문에, 태양전지로 흡수되는 태양광 량을 높이기 위하여 태양전지의 가장 위층에 혹은 모듈 제작시 커버유리의 내부에 저반사 특성을 갖는 박막을 코팅한다. 특히 박막태양전지의 경우는 대면적의 유리위에 저반사 코팅을 해야 한다. 본 연구에서는 In-line magnetron sputtering system을 사용하여 소다라임 유리 기판 위에 고글절 산화물(Nb2O5)과 저굴절 산화물(SiO2)의 2층 적층형태의 "SiO2/Nb2O5/SiO2/Nb2O5/SLG" 다층 박막을 증착하고, 저반사의 광학적 특성을 하였고, 이를 논하고자한다. 일반적으로 빛이 투과되는 투명한 기판이 공기층에 노출되어있을 경우에 기판의 양면에서 공기층과의 계면에서 각각 4%의 반사율 즉, 총 8%의 반사율을 갖는데, 본 연구의 다층 박막에서는 530에서 540nm 파장 영역에서 투과율은 95% 이상, 반사율은 4.8% 이하이었다. 이 결과는 터치패널과 박막태양전지 시장의 Needs에 대응할 수 있기 때문에 산업의 응용측면에서 매우 중요한 연구 성과를 얻었다고 말할 수 있다. (본 연구는 지식경제부 사업화연게기술개발 연구지원금으로 일부 이루어졌음).

• Journal of the Microelectronics and Packaging Society
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• v.12 no.2 s.35
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• pp.105-109
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• 2005

A compact antenna switch module for GSM/DCS dual band applications based on multilayer low temperature co-fired ceramic (LTCC) substrate is presented. Its size is $4.5{\times}3.2{\times}0.8 mm^3$ and insertion loss is lower than 1.0 dB at Rx mode and 1.2 dB at Tx mode. To verify the stability of the developed module to the process window, each block that is diplexer, LPF's and bias circuit is measured by probing method in the variation with the thickness of ceramic layer and the correlation between each block is quantified by calculating the VSWR In the mean while, two types of bias circuits -lumped and distributed - are compared. The measurement of each block and the calculation of VSWR give good information on the behavior of full module. The reaction of diplexer to the thickness is similar to those of LPF's and bias circuit, which means good relative matching and low value of VSWR, so total insertion loss is maintained in quite wide range of the thickness of ceramic layer at both band. And lumped type bias circuit has smaller insertion itself and better correspondence with other circuit than distributed stripline structure. Evaluated ceramic module adopting lumped type bias circuit has low insertion loss and wider stability region of thickness over than 6um and this can be suitable for the mass production. Stability characterization by probing method can be applied widely to the development of ceramic modules with embedded passives in them.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.4
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• pp.135-144
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• 2015

Fingerprint pores have proven to be useful features for fingerprint recognition and several pore-based fingerprint recognition systems have been reported recently. In order to recognize fingerprints using pore information, it is very important to extract pores reliably and accurately. Existing pore extraction methods utilize 2D model fitting to detect pore centers. This paper proposes a pore extraction method using 1D Gaussian model which is much simpler than 2D model. During model fitting process, 1D model requires less computational cost than 2D model. The proposed method first calculates local ridge orientation; then, ridge mask is generated. Since pore center is brighter than its neighboring pixels, pore candidates are extracted using a $3{\times}3$ filter and a $5{\times}5$ filter successively. Pore centers are extracted by fitting 1D Gaussian model on the pore candidates. Extensive experiments show that the proposed pore extraction method can extract pores more effectively and accurately than other existing methods, and pore matching results show the proposed pore extraction method could be used in fingerprint recognition.

• Korean Chemical Engineering Research
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• v.60 no.1
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• pp.132-138
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• 2022

In this study, a basic study was performed to systematically compare the changes in surface properties according to the post-processing method of the stereolithography (SLA) printing method, which is a photocuring 3D printing method, and to provide information on the post-processing method suitable for the application. Although it was possible to improve some of the transparency of the SLA-type output by regularly changing the irregular microstructure of the surface through polishing, it was difficult to secure sufficient transparency like glass. The change in contact angle characteristics due to grinding showed a tendency to slightly increase as the grinding time increased and the particle size of the sandpaper used was small, but the variation between samples was large and the average contact angle was 77~90°, showing no statistically significant difference. Surface treatment methods other than polishing were tried, and it was confirmed that it was possible to easily and simply improve the transparency by applying a commercially available vehicle scratch remover or silicone oil. In addition, a method for securing high transparency such as glass by using a scratch remover after sequential grinding while reducing the particle size of the sandpaper was proposed. Finally, even after surface treatment through polishing and various methods, it was difficult to secure a contact angle of 90° or more.

• Journal of Broadcast Engineering
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• v.28 no.1
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• pp.31-41
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• 2023

Directly converting the focal depth and image size of computer-generated-hologram (CGH), which is obtained by calculating the interference pattern of light from the 3D image, is known to be quite difficult because of the less similarity between the CGH and the original image. This paper proposes a method for separately converting the each of focal length of the given CGH, which is composed of multi-depth images. Firstly, the proposed technique converts the 3D image reproduced from the CGH into a Light-Field (LF) image composed of a set of 2D images observed from various angles, and the positions of the moving objects for each observed views are checked using an object detection algorithm YOLOv5 (You-Only-Look-Once-version-5). After that, by adjusting the positions of objects, the depth-transformed LF image and CGH are generated. Numerical simulations and experimental results show that the proposed technique can change the focal length within a range of about 3 cm without significant loss of the image quality when applied to the image which have original depth of 10 cm, with a spatial light modulator which has a pixel size of 3.6 ㎛ and a resolution of 3840⨯2160.