• Journal of Digital Contents Society
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• v.16 no.2
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• pp.227-234
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• 2015

Recently, there is more and more demand on broadcasting display environment that provides a sense of realism basically with high quality and high definition as in UHDTV, so various kinds of 4K cameras have been released. Super 35mm sensor 4K/UHD cameras being generally used can be usefully applied to the single camera-based system such as advertisements, dramas, nature documentaries, and culture programs. However, in the multicamera-based system such as entertaining programs, sports, and concerts, relay broadcasting may face limitations as there are restrictions of close-up or tight shots according to the distance. Besides, 4K lenses are not enough compared with the previous HD lenses' group, so there are limitations in camera photographing shots that have been realized in HD filming. Therefore, to complement this, the use of 2/3 inch sensor 4K/UHD cameras is being demanded, and it is also needed to use various lenses' groups to produce UHD image contents. Accordingly, this study used Grass Valley's LDX 4K/UHD camera to analyze its applicability based on the picture quality test at the use of HD lenses in 2/3 sensors and also the possibility of its efficient application.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.3-6
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• 2012

Due to recent rapid growth of mobile market, the modern people increasing make use of mobile contents as a means to obtain the desired information quickly by overcoming various restraints of a computer. The wide range of recommended contents, however, takes much time in selection of contents. To resolve such issues, a system that predicts the contents desired by the user and makes an accurate recommendation is necessary. In this paper, in order to provide the desired contents in line with the user demands, a method to increase select the number of recommendation using cooperative filtering is proposed. In the first step, the categories are formulated with super-classes and the similarity between the target customer and users is found, and the nearest-neighbors are constituted to find the preference predictions between super-classes, and the super-class with the highest resulting value is recommended to the target customer. In the second step, the preference predictions between sub-classes are found and the sub-class with the highest value is recommended to the target customer. In the experiment, mobile contents are recommended through super-class-based cooperative filtering, and then the mobile contents are recommended through sub-class-based cooperative filtering, and sub-class collaborative filtering method to select a high number of verification.

• Cartoon and Animation Studies
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• s.40
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• pp.423-442
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• 2015

In a digital environment that is keep in change content from smart phones to tablet PC are a social network service is holding deep place in our lives. Social networking applications has building a network and communication with others than other application, it means that Social networking applications are sharing not only personal purpose in that trend of variety and competition of these social networks can be expected to trend and be developed thru analysis of user certification. this study of social network service application is proposed to developing of application thru analyze the two-effective application which is high ranked in google store. the theoretical foundation was set based on the seven elements of the social network service of the information structures designed by Jean Smith. This study proceeded analysis is for the functional elements of Facebook and Instagram, and the advantages and disadvantages through survey research. As a result of the empirical analysis to user of Instagram and face book of communication, identity, satisfaction for the group are equally. Instagram is about the presence, reputation, and Facebook has had a high level of satisfaction for each sharing and relationship. Facebook got high satisfaction from sharing features, but user feel of discomfort in the randomly showing advertising content. Instagram is not showing off advertise on common page of content, it is good point to be complementary to facebook. And, Instagram hashtag is good for convenience, but satisfaction is high with Facebook. in order to increase the satisfaction of Instagram, it is necessary to consider the main advantage of the communication and the functional aspects of the share from facebook.

• Journal of Platform Technology
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• v.9 no.3
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• pp.3-17
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• 2021

Advanced persistent threat (APT) attacks are attacks aimed at a particular entity as a set of latent and persistent computer hacking processes. These APT attacks are usually carried out through various methods, including spam mail and disguised banner advertising. The same name is also used for files, since most of them are distributed via spam mail disguised as invoices, shipment documents, and purchase orders. In addition, such Infostealer attacks were the most frequently discovered malicious code in the first week of February 2021. CDR is a 'Content Disarm & Reconstruction' technology that can prevent the risk of malware infection by removing potential security threats from files and recombining them into safe files. Gartner, a global IT advisory organization, recommends CDR as a solution to attacks in the form of attachments. There is a program using CDR techniques released as open source is called 'Dangerzone'. The program supports the extension of most document files, but does not support the extension of HWP files that are widely used in Korea. In addition, Gmail blocks malicious URLs first, but it does not block malicious URLs in mail systems such as Naver and Daum, so malicious URLs can be easily distributed. Based on this problem, we developed a 'Dangerzone' program that supports the HWP extension to prevent APT attacks, and a Chrome extension that performs URL checking in Naver and Daum mail and blocking banner ads.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.7
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• pp.3454-3459
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• 2013

Sumi-e is one of the art work that uses not only ink line but also color painting. This technique is well known as a representative Asian painting style and widely used in movie, advertisement poster and various effect in camera device. In this paper, we propose an algorithm that can generate result image with Sumi-e effects of example image based on computer graphics and image processing techniques. For this, we pass two steps. The first is painting expression step. We used texture transfer technique to generate result with texture effect of reference image by analyzing numerically. The second step is ink-painting effect generation step. We express ink-painting effect in outline by considering intensity variation in edge of example image. Our algorithm can express various Sumi-e style based on selected reference image. So it can be utilized to various contents generating research.

• International Commerce and Information Review
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• v.17 no.3
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• pp.73-91
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• 2015

This study investigated how Korean image and cosmetics products image effect by the Korean Wave(Hanllyu) on the Vietnam Customer focus on the cosmetics. Especially, Korean Wave of this study consisted in the movie/drama, K-pop and Korean stars. Korean image and cosmetics brand image was effected by factors related to the Korean Wave which had been deducted, based on preceeding research. A study was conduct in Vietnam where the spread of the Korean Wave content customer bases has been over along time. A total of 295 samples were used for th final analysis. Data analysis consisted of descriptive statistics, Cronbach's alpha, a confirmatory factor analysis, and multi-regression. It is also found that Korean image and cosmetics brand image has affect by Korean Wave. and Cosmetics purchasing intention has affect Korean image and cosmetics brand image.

• Journal of Korea Multimedia Society
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• v.12 no.9
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• pp.1342-1350
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• 2009

Until today, the uses of digital display system mostly included demonstration, observation, and exhibition of simple images. The strengths were that the images that changes in line with the music played could be reinterpreted as a different work. Also, it could stimulate the sensibility of the users. However, the range of the uses of the system is very limited and users could easily lose their interest. Therefore, it is necessary to develop a system that could continuously induce and motivate user interaction. Therefore, the RSS based digital folding screen system proposed by this paper has an objective of being used as an interactive media system which overcome the limitations of former eight-sided folding screen used for simple observation purposes. It also applied the main function of RSS in which the user could collect and read newly registered messages without visiting the blogs or corresponding websites. Therefore, it is capable of sending the information needed by the user. Generally, we can observe the contents for mere observation purposes and when necessary, it could also be utilized for advertisement or exhibition purposes. It could also be used as a information transfer system in public facilities.

• Cartoon and Animation Studies
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• s.45
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• pp.127-146
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• 2016

The most presentative case would be functional evolution of webtoon as a contents business model, which has taken a initiating role in both innovated strategic experiments and outcomes. Most of all, There are the launch of PPS(Page Profit Sharing) sevice in NAVER webtoon, the paid service model implementation in KAKAOpage and potential business as an exclusive application in Lezhin entertainment This study to analyze these phenomina and results can figure out how the business model in the webtoon platform is developed in various fields diversely and what makes this model evolved and extended. Especially, the diversification of the webtoon platform has been received attention since it pursued the grouped spin off through horizontal convergence and transformational expansion among similar platforms, and also this shows that which factors enhance these phenomina to be controled and expanded. On the basis of the result of this study, we try to find the way to connect business vision of the domestic webtoon platform with affiliated business. Furthermore, it proposes the interrelationship between this and the business strategy for overseas in the globalized platform.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.423-429
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• 2016

The study evaluates user experiences of YouTube and Vimeo, typical Video-sharing websites, to suggest guidelines that are more user-cantered and useful. I did some literature research followed with evaluation of theoretical backgrounds, present conditions and future services. Also, I used the six principles of "Creating Pleasurable Interface" by Stephen Anderson to conduct an in-depth interview. The results indicate that YouTube needs to improve availability of its functions and usability by reducing advertisement. Vimeo needs to improve its popularity by increasing popular contents and add relationship service such as personal broadcasting system and community services. I expect this study will become a good resource for upgrading user experiences of Video-sharing websites. I also believe that this study can guide other studies about user experience in other fields.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.115-120
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• 2017

Online reputation systems for social network services(SNS) aggregate users' feedback and estimate the reputation of contents or providers. The aim of this research is to enhance credibility of the online reputation system on the SNS based e-Commerce(we called it as social commerce). SNS users usually refer to evaluations from other users who bought the products before. Most social commerce sites provide reputation system to help their customer make a decision, but sometimes we can't believe the reputation because the reputation is too subjective and the seller can deceive the customer for sales promotion. Threrefore, we usually use just the average value to show the general customer's evaluation result. We applied collaborative filtering method to give more weighting to the users who have evaluated correctly in the past. As a result, we could get more accurate evaluation results by considering each customers' credibility value that was computed by collaborative filtering.