• Journal of Digital Contents Society
• /
• v.9 no.4
• /
• pp.625-633
• /
• 2008

Recently, the participation, opening and joint ownership of the users are important issue. The users want professional and accurate information from web. But users often suffer from retrieving accurate information. Even though the users find information they want, it is not guaranteed that the information is reliable since there are too much information placed on the web. Thus, we propose the novel rank metric to promote reliability and efficiency in information retrieval. In order to verify our approach, we implement a web site based on the proposed rank metric for nonofficial medical science information. The proposed rank metric based on user's level. This is to give score of text through differential rate depending on the user's level. The proposed rank metric enhances the reliability of text which is reflecting the user's mental factor. Thus, this method can be used for enhancing the reliability of text.

• Journal of Digital Contents Society
• /
• v.8 no.1
• /
• pp.93-106
• /
• 2007

Web Applications are rapidly increasing and the structure becomes very complicated. However, when users explore such complex Web applications, they cannot often grasp the current location and get the information that they want. Therefore, a novel approach to model the navigation of Web application contents is required. In this study, a framework has been presented for modeling adaptive context-based contents navigation of Web applications. The framework performs activities including navigation analysis, navigation design, and navigation realization. first, in navigation analysis domain is analyzed by using use case, focusing on navigation. Next, in navigation design three models have been produced: a navigation information model, a profile, and a navigation interface model. Finally, in navigation realization a Webpage navigation model and a component navigation model have been produced. In this work, several formal definitions and rules for checking validity of navigation model have also been provided.

• Journal of the HCI Society of Korea
• /
• v.6 no.2
• /
• pp.11-20
• /
• 2011

The mass collaboration, one of the newest solutions for web-related tasks, has been recognized to be an effective tool for the R&D sectors of the corporates, since the key advantages of crowdsourcing is that the industrial challenges can be shared with the public entities to find proper solutions. This research approaches to the possibility of the design adoption with participation thorough the Internet will positively effect to its process. This research tried to look around the current trend of web 2.0 based services which support the Mass Collaboration method and results of paper related to the Crowdsourcing and design integration. Following to the analysis of web research, we meet the conclusion as just a small number of users' opinion has helped designing new product and service. And we compared it to the conventional design process detail functions, less number of websites support it. However, the result of paper research shows optimistic results of collective design activity. Several cases emphasize that participants were very active to support their thoughts, memories and novel design idea, therefore designer and researchers got enormous help from them and it was better than conventional participatory design in some perspective.

• Journal of KIISE:Databases
• /
• v.28 no.3
• /
• pp.406-417
• /
• 2001

With the advances in multimedia databases on the World Wide Web, it becomes more important to provide users with the search capability of distributed multimedia data. While there have been many studies about the database selection and the collection fusion for text databases. The multimedia databases on the Web have autonomous and heterogeneous properties and they use mainly the content based retrieval. The collection fusion problem of multimedia databases is concerned with the merging of results retrieved by content based retrieval from heterogeneous multimedia databases on the Web. This problem is crucial for the search in distributed multimedia databases, however, it has not been studied yet. This paper provides novel algorithms for processing the collection fusion of heterogeneous multimedia databases on the Web. We propose two heuristic algorithms for estimating the number of objects to be retrieved from local databases and an algorithm using the linear regression. Extensive experiments show the effectiveness and efficiency of these algorithms. These algorithms can provide the basis for the distributed content based retrieval algorithms for multimedia databases on the Web.

• The KIPS Transactions:PartB
• /
• v.13B no.2 s.105
• /
• pp.121-126
• /
• 2006

In this paper, we propose an approach to increase the power of clustering Web images by using high-level semantic features from text information relevant to Web images as well as low-level visual features of image itself. These high-level text features can be obtained from image URLs and file names, page titles, hyperlinks, and surrounding text. As a clustering engine, self-organizing map (SOM) proposed by Kohonen is used. In the SOM-based clustering using high-level text features and low-level visual features, the 200 images from 10 categories are divided in some suitable clusters effectively. For the evaluation of clustering powers, we propose simple but novel measures indicating the degrees of scattering images from the same category, and degrees of accumulation of the same category images. From the experiment results, we find that the high-level text features are more useful in SOM-based Web image clustering.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.22 no.4
• /
• pp.869-882
• /
• 2012

With the growth of Web services and the development of web exploit toolkits, web-based malware has increased dramatically. Using Javascript Obfuscation, recent web-based malware hide a malicious URL and the exploit code. Thus, pattern matching for network intrusion detection systems has difficulty of detecting malware. Though various methods have proposed to detect Javascript malware on a users' web browser, the overall detection is needed to counter advanced attacks such as APTs(Advanced Persistent Treats), aimed at penetration into a certain an organization's intranet. To overcome the limitation of previous pattern matching for network intrusion detection systems, a novel deobfuscating method to handle obfuscated Javascript is needed. In this paper, we propose a framework for effective hidden malware detection through an automated deobfuscation regardless of advanced obfuscation techniques with overriding JavaScript functions and a separate JavaScript interpreter through to improve jsunpack-n.

• Clinical and Experimental Pediatrics
• /
• v.52 no.10
• /
• pp.1069-1074
• /
• 2009

Peritoneal dialysis is a preferred modality of replacement therapy in children and adolescents with end-stage renal disease waiting for kidney transplantation. Recent development of pediatric swan-neck catheters with cuffs, novel dialysis solutions, and cyclers for automated peritoneal dialysis enabled more flexible prescriptions of dialysis with less complication, and improved patients' activities as well as the dialysis adequacy. Principles and practical issues of chronic peritoneal dialysis in children and adolescents are reviewed and utility of a web-based Korean Pediatric CRF Registry is explained.

• 한국정보통신설비학회:학술대회논문집
• /
• 2009.08a
• /
• pp.108-111
• /
• 2009

In this paper, both various content filtering methods and technological trends are briefly reviewed. A novel method is provided for preventing the illegal copies of copyright IPTV contents from being propagated through the P2P sites and web harddisk services.

• IEIE Transactions on Smart Processing and Computing
• /
• v.3 no.2
• /
• pp.88-95
• /
• 2014

This paper proposes a novel desktop virtual reality system. Based on the position of the user's face, the proposed system selects the most appropriate image of an object from a set of photographs taken at various angles, and simply "pastes" it onto the display at the appropriate location and scale. Using this system, the users can intuitively feel the presence of the object.

• Journal of KIISE:Computing Practices and Letters
• /
• v.15 no.3
• /
• pp.189-199
• /
• 2009

The amount of information on the Web is explosively growing as the Internet gains in popularity. However, only a small portion of the information on the Web is truly relevant or useful to the user. Thus, offering suitable information according to user demand is an important subject in information retrieval. In e-commerce, the recommender system is essential to revitalize commercial transactions, raise user satisfaction and loyalty towards the information provider. The existing recommender systems are mostly based on user data collected at servers, so user data are dispersed over several servers. Therefore, web servers that lack sufficient user behavior data cannot easily infer user preferences. Also, if the user visits the server infrequently, it may be hard to reflect the dynamically changing user's interest. This paper proposes a novel personalization system analyzing the user preference based on web documents that are accessed by the user on a user device. The system also identifies non-content blocks appearing repeatedly in the dynamically generated web documents, and adds weight to the keywords extracted from the hyperlink sentence selected by the user. Therefore, the system establishes at an early stage recommendation strategies for the web server that has little user data. Also, user profiles are generated rapidly and more accurately by identifying the information blocks. In order to evaluate the proposed system, this study collected web data and purchase history from users who have current purchase activity. Then, we computed the similarity between purchase data and the user profile. We confirm the accuracy of the generated user profile since the web page containing the purchased item has higher correlation than other item pages.