• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.3
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• pp.7-14
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• 2008

To nurture skilled IT professionals required in the 21st information society, we have been faced to the need of learner-centered open lifelong education through the e-learning system that crosses the boundaries of time, space and geography. The object of this research is primarily as-is analysis of the IT contents in present cyber institutions, then making out the basic research data by to-be analysis and international standardization trend through benchmarking. Eventually this research intends to produce a prototype of the contents especially for the subjects related to the IT which is based on the modeling of e-Learning standard contents development model. It is possible that the final output of this project is used for the contents producing and operating data in cyber universities and institutions. This output also enhances the international competitiveness by the standardization and presents a standardized guideline to the domestic cyber education institutions.

• Journal of the Korea Society of Computer and Information
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• v.17 no.1
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• pp.19-30
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• 2012

Based on the internet-based infrastructures such as various information devices, social network systems and cloud computing environments, distributed and sharable data are growing explosively. Recently, as a data analysis and mining technique for extracting, analyzing and classifying the inherent and useful knowledge and information, Formal Concept Analysis on binary or many-valued data has been successfully applied in many diverse fields. However, in formal concept analysis, there has been little research conducted on analyzing interval data whose attributes have some interval values. In this paper, we propose a new approach for classification of interval data based on the formal concept analysis. We present the development of a supporting tool(iFCA) that provides the proposed approach for the binarization of interval data table, concept extraction and construction of concept hierarchies. Finally, with some experiments over real-world data sets, we demonstrate that our approach provides some useful and effective ways for analyzing and mining interval data.

• The KIPS Transactions:PartA
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• v.10A no.5
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• pp.559-570
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• 2003

In this paper, we investigate a problem with Web-based learing contents and introduce the solving method of the problem. To be more accurate, existing Web-based learning contents were one fixd and uniformed courseware file with a large size and HTML format. Also, They were written files with authoring tools of which depended upon providing a multimedia vender. These learning contents were difficult to reuse among cyber education systems and change the applicable contents to the learner for learning experiences in time. So in this paper, we produced reusable and interopreable learning contents among instruction designers and education systems. They were deconstructed into smaller chunks and added to its properties. For the purpose of this producing method, we used the pedagogical designs for units of reuse. These are just turorial link-more and tell-more and was implemented with CBD method. As a result, The problem of existing Web-based learning contents system was resolved and then the power of understanding about objectified learning content was increased for the learner and instruction designers.

• Journal of the Korea society of information convergence
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• v.1 no.1
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• pp.41-46
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• 2008

Contents application from contents development of web technical base and with the operation different environment information of the educational resources integration the importance and necessity of the management central chain e-Learning system will be able to operate are raising its head with base. Is the actual condition which develops the development process where but, the education application currently is not standardized in base. Approaches with an educational domain from the present paper consequently, and defines MDA(Model Driven Architecture) coats e-Learning System. Also uses a studying contents standard metadata and about the contents storage space analyzes and plans the core property which uses MDA automatic tools leads and under developing boil e-Learning System will be able to provide the contents which does in actual professor own necessity.

• The Journal of Society for e-Business Studies
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• v.14 no.4
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• pp.47-57
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• 2009

Collaborative tagging systems allow users to attach tags to diverse sharable contents in social networks. These tags provide usefulness in reusing the contents for all community members as well as their creators. Three-dimensional data composed of users, items, and tags are used in the collaborative tag-based recommendation. They are generally more voluminous and sparse than two-dimensional data composed of users and items. Therefore, there are many difficulties in applying existing collaborative filtering methods directly to them. Latent factor models, which are also successful in the area of collaborative filtering recently, discover latent features(factors) for explaining observed values and solve problems based on the features. However, establishing the models require much time and efforts. In order to apply the latent factor models to three-dimensional collaborative filtering data, we have to overcome the difficulty of establishing them. This paper proposes various methods for determining preferences of users to items via establishing an intuitive model by assuming tags used for items as latent factors to users and items respectively. They are compared using real data for concluding desirable directions.

• Journal of the Korea Society of Computer and Information
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• v.16 no.9
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• pp.19-26
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• 2011

Users want to receive customized service using users' personal device. To fulfill this requirement, the mobile device has to support a lot of functions. However, the mobile device has limitations such as tiny display screens. To solve this limitation problem and provide customized service to users, this paper proposes the environment to provide services by sharing resources and the method to recommend user-suitable resources among sharable resources. For the resource recommendation, This paper analyzes user's behavior pattern from usage history and proposes the method for recommending customized resources. This paper also shows that the approach is reasonable one for resource recommendation through the satisfaction evaluation.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.579-586
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• 2013

To see what the promotional movie of the same product, Each concept were respectively constructed for Optimized SNS marketing movie. There are two types of movies. One is the teaser of product design in the form of showing 'Feature Movie' and the other is the 'Viral Movie' presenting USP of the product in parody technique, which can be compared with each others. The two movies show on YouTube, then feedback from viewers were analyzed in detail. As a result, data for view and shares of viral movie showed relatively higher than the feature movie. It means that the viral movie is more effective for marketing since its various elements such as fun, story and visuals are sharable. It makes people more interested and immersed in these contents. Thus, viral movies for SNS marking are distributed to reflect the issue of the time, all the concepts are clear to show what the product is for, and most importantly it can trigger the attention of viewers.

• Journal of KIISE:Databases
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• v.35 no.4
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• pp.368-378
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• 2008

In recent years, publish-subscribe (pub-sub) systems based on XML document filtering have received much attention. In a typical pub-sub system, subscribed users specify their interest in profiles expressed in the XPath language, and each new content is matched against the user profiles so that the content is delivered to only the interested subscribers. As the number of subscribed users and their profiles can grow very large, the scalability of the system is critical to the success of pub-sub services. In this paper, we propose a fast and scalable XML filtering system called SFiST which is an extension of the FiST system. Sharable segments are extracted from twig patterns and stored into the hash-based Segment Table in SFiST system. Segments are used to represent user profiles as Terse Sequences and stored in the Compact Segment Index during filtering. Our experimental study shows that SFiST system has better performance than FiST system in terms of filtering time and memory usage.

• Journal of KIISE
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• v.43 no.9
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• pp.947-952
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• 2016

Most data centers attempt to consolidate servers using virtualization technology to efficiently utilize limited physical resources. Moreover, virtualized systems have commonly adopted contents-based page sharing mechanism for page deduplication among virtual machines (VMs). However, previous page sharing schemes are limited by the inability to effectively manage accumulated hints which mean sharable pages in stack. In this paper, we propose a priority-based hint management scheme to efficiently manage accumulated hints, which are sent from guest to host for improving page sharing opportunity in virtualized systems. Experimental results show that our scheme removes pages with low sharing potential, as compared with the previous schemes, by efficiently managing the accumulated pages.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.5
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• pp.1277-1283
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• 2010

Many e-learning systems adopts SCORM as an e-learning standard. E-learning systems evaluate and apply the learning difficulty in order to improve the studying efficiency. But, it is hard to change the learning difficulty and provide the customized learning contents during studying in SCORM. Because it is difficult to provide the customized contents to learners by changing the learners' level at runtime and to control optional learning. In this paper, we designed and implemented SCORM-based Contents Organization System on learners' level(SCOS) for complementing the SCORM's weakness. SCOS re-evaluates a learner's level whenever the learner's level is changed during learning, and provides customized contents on the learner's level.