• Journal of Information Management
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• v.18 no.2
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• pp.59-92
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• 1985

이윤추구(利潤追求)를 목적(目的)으로 하는 유기적(有機的) 결합체(結合體)인 기업(企業)에 있어서 오피스의 생산성(生産性)을 향상(向上)시키기 위해서는 통합적(統合的)인 정보관리(情報管理)시스템의 확립(確立)이 급선무(急先務)이다. OA의 본질(本質)은 오피스에 있어서 정보(情報) 생산성(生産性)의 효율향상(效率向上)에 있다. OA의 출현이후(出現以後) 기업(企業)은 아직도 정형정보처리(定型情報處理)의 하드웨어지향적(指向的)이며 비지니스 토큐먼트 등과 같은 비정형정보처리(非定型情報處理)에는 그다지 관심(關心)을 기울이지 않았다. 제4(第四)의 자원(資源)인 정보(情報)의 정보력(情報力)은 개인(個人)이나 기업(企業)에 있어서 생존전략(生存戰略)의 기반(基盤)이며 정보력(情報力)의 강화(强化)가 항상 필요(必要)하다. 이것을 늘 유지(維持)하기 위해서는 정보센터의 설치(設置)와 $\ulcorner$동적(動的) 온라인 정보(情報)시스템$\lrcorner$의 구축(構築)이 필요(必要)하다. 보고(本稿)는 Journal of Micrographics 27권 7호(1984)로부터 계속하여 연재(連載)되었는데 기업(企業)에 있어서 OA, 비정형정보(非定型情報)의 관리(管理)와 활용방법(活用方法)에 대해 관심(關心)이 있는 이에게 도움이 될 수 있으리라고 사료(思料)되어 총(總) VI장(章)으로 구성(構成)되어 있는 중에서 금회(今回)에는 $I{\sim}III$ 장(章)을, 다음 회(回)에는 IV장(章)부터 VI장(章)까지 편역(編譯)키로 하였다.

• Journal of Digital Convergence
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• v.13 no.1
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• pp.463-468
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• 2015

A study on how a launcher as smart phone application was utilized as brand communication by deriving a characteristic element that could be changed into an extended function which carried out brand communication function going beyond the basic function of launcher pre-installed for the purpose of UI differentiation according to each device brand. In the results of analyzing the items and features of brand communication shown in each detailed item after classifying properties of launcher components into that of home component and personalization function element, (1) brand image identity element and (2) service marketing commitment element was derived.

• Journal of Internet Computing and Services
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• v.7 no.2
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• pp.1-8
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• 2006

Study of effective synthesis has been amplified in working-level image process corresponding to one of postproduction synthesis ares. However, it is very role to recognize the overall procedure of image composition and unprepared state on a research on variety and complexity for the specific composition method, it is necessary to materialize the overall pattern that can understand stream of image and standardization. In order to embody, it may be desirable that improve working efficiency of database by form called resources. In this paper, by providing the several values such as matte, key, motion, scale, position, or opacity characteristics, we directed th solving problems through the detailed examples while the user has the difficulty on image synthesis.

• Journal of Convergence for Information Technology
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• v.9 no.1
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• pp.142-150
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• 2019

This study is a file management security system that encrypts and decrypts computer and cloud data by using Bluetooth based cryptographic module. It is a necessary solution in terms of abuse of personal information and protection of social and national information. We developed H/W and S/W for SFMS(: Safe File Management Security) related Bluetooth module in cloud environment and implemented firmware development, encryption key generation and issuance, client program for system mobile and key management system. In the terminal internal encryption and decryption, SFMS was developed to ensure high security that the hacking itself is not possible because key values exist separately for each file.

• Trans-
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• v.10
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• pp.1-13
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• 2021

If virtual reality is well known through the medias, it seems that a few visual concepts are clearly related to VR. We try to think about it and introduce to a philosophy of VR techniques. So, from techniques and media techno-powers promotional campaigns, we aim to areal technology, it means an objective reflection on the VR techniques. To do so, we study the representations of VR in films. And we conclude that a negative image is the most common representation, related, often, to an Orwellian vision of the future world. In the second part, we study some VR films, and especially some made by famous film directors (Iñárritu, Bigelow). 'Head-turn' and 'Walk-around' films are commented to check their limits. Finally, we consider that for the moment, VR remains only a new space to screen films (into VR platforms connected to the Internet).

• Journal of the Korean Society of Costume
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• v.60 no.7
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• pp.14-30
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• 2010

The purpose of this study is to come up with a perspective that can enhance the understanding about the mechanism of fashion change. The starting idea of this study is that fashion has changed according to the ideal body image of the specific society or individual. The theoretical framework about the ideal body image has been studied by the literatures on the subject and it is verified by the analysis of John Galliano & Martin Margiela's fashion works. The results are as follows. First, Galliano exposes the woman's body as a sexual symbol which is articulated by men's eyes. Margiela describes the woman's body as human being which doesn't highlight any sexual characteristics. Second, Galliano emphasizes the body conscious silhouette whereas Margiela perceives the body as a whole, rather than looks into each body part. Third, Galliano uses lots of decoration to make display luxurious. Margiela restrains himself from using decorations and tries to create images by interaction between the clothes and bodies. Forth, Galliano expresses the eroticism by accentuating eyes and lips with strong color cosmetics. Margiela's fashion is not dazzling with makeup. He even covers the face with fabrics. Aesthetics in all societies is articulated by their hidden social power groups, and then it has influence on taking shape of the ideal body image and the mainstream of fashion. But the innate characters of individuals offer challenges to the fashion majority. The tension between the social power and individual character makes and changes the fashion.

• Journal of the Korea Society of Computer and Information
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• v.12 no.2 s.46
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• pp.197-207
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• 2007

This thesis suggested that the 'customized' marketing would be a new strategy in terms of a marketing in the digital media age under the circumstances where a form of marketing was evolving in accordance with the convergence of digital media. Because of the media environment due to an 'individualization', the strategy would meet an individual demand of a consumer in a rapidly changing environment. The best marketing to capture a 'customer's heart' is not a brand that first entered the market, but the one that is first settled in a customer's heart. If a differentiated interactive marketing strategy is equipped, it is possible to capture a completely new market space ad create a profit over several years. In the aspect of an effect of a digital marketing, first, a concept relating to an interaction between a consumer and a producer is important. Secondly, the important one is an empathy marketing which is an emotional marketing through a brand image beyond a product. Thirdly, the author studied an orally transmitted marketing effect through digital media.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.293-301
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• 2017

Most new products not only suddenly disappear in the market but also quickly cannibalize older products. Under such a circumstance, retailers may have too much stock, and customers may be faced with difficulties discovering products suitable to their preferences among short life cycle products. To address these problems, recommender systems are good solutions. However, most previous recommender systems had difficulty in reflecting changes in customer preferences because the systems employ static customer preferences. In this paper, we propose a recommendation methodology that considers dynamic customer preferences. The proposed methodology consists of dynamic customer profile creation, neighborhood formation, and recommendation list generation. For the experiments, we employ a mobile image transaction dataset that has a short product life cycle. Our experimental results demonstrate that the proposed methodology has a higher quality of recommendation than a typical collaborative filtering-based system. From these results, we conclude that the proposed methodology is effective under conditions where most new products have short life cycles. The proposed methodology need to be verified in the physical environment at a future time.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.197-206
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• 2010

For an emotion retrieval system implementation to support pedestrian navigation, coordinating the pedestrian emotion model with the system user's emotion is considered a key component. This study proposes a new method for capturing the user's model that corresponds to the pedestrian emotion model and examines the validity of the method. In the first phase, a database comprising a set of interior images that represent hypothetical destinations was developed. In the second phase, 10 subjects were recruited and asked to evaluate on navigation and satisfaction toward each interior image in five rounds of navigation experiments. In the last phase, the subjects' feedback data was used for of the pedestrian emotion model, which is called ‘learning' in this study. After evaluations by the subjects, the learning effect was analyzed by the following aspects: recall ratio, precision ratio, retrieval ranking, and satisfaction. Findings of the analysis verify that all four aspects significantly were improved after the learning. This study demonstrates the effectiveness of the learning algorithm for the proposed pedestrian emotion model. Furthermore, this study demonstrates the potential of such pedestrian emotion model to be well applicable in the development of various mobile contents service systems dealing with visual images such as commercial interiors in the future.

• Knowledge Management Research
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• v.21 no.3
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• pp.27-44
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• 2020

In order to solve the user's information overload problem, recommender systems infer users' preferences and suggest items that match them. The collaborative filtering (CF), the most successful recommendation algorithm, has been improving performance until recently and applied to various business domains. Visual information, such as book covers, could influence consumers' purchase decision making. However, CF-based recommender systems have rarely considered for visual information. In this study, we propose VizNCS, a CF-based deep learning model that uses visual information as additional information. VizNCS consists of two phases. In the first phase, we build convolutional neural networks (CNN) to extract visual features from image data. In the second phase, we supply the visual features to the NCF model that is known to easy to extend to other information among the deep learning-based recommendation systems. As the results of the performance comparison experiments, VizNCS showed higher performance than the vanilla NCF. We also conducted an additional experiment to see if the visual information affects differently depending on the product category. The result enables us to identify which categories were affected and which were not. We expect VizNCS to improve the recommender system performance and expand the recommender system's data source to visual information.