• Proceedings of the Korean Environmental Sciences Society Conference
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• 2003.11a
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• pp.73-78
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• 2003

In this research, we implement Realtime Air Diffusion Prediction System which is a parallel Fortran model running on distributed-memory parallel computers. The system is designed for air diffusion simulations with four-dimensional data assimilation. For regional air quality forecasting a series of dynamic downscaling technique is adopted using the NCAR/Penn. State MM5 model which is an atmospheric model. The realtime initial data have been provided daily from the KMA (Korean Meteorological Administration) global spectral model output. It takes huge resources of computation to get 24 hour air quality forecast with this four step dynamic downscaling (27km, 9km, 3km, and lkm). Parallel implementation of the realtime system is imperative to achieve increased throughput since the realtime system have to be performed which correct timing behavior and the sequential code requires a large amount of CPU time for typical simulations. The parallel system uses MPI (Message Passing Interface), a standard library to support high-level routines for message passing. We validate the parallel model by comparing it with the sequential model. For realtime running, we implement a cluster computer which is a distributed-memory parallel computer that links high-performance PCs with high-speed interconnection networks. We use 32 2-CPU nodes and a Myrinet network for the cluster. Since cluster computers more cost effective than conventional distributed parallel computers, we can build a dedicated realtime computer. The system also includes web based Gill (Graphic User Interface) for convenient system management and performance monitoring so that end-users can restart the system easily when the system faults. Performance of the parallel model is analyzed by comparing its execution time with the sequential model, and by calculating communication overhead and load imbalance, which are common problems in parallel processing. Performance analysis is carried out on our cluster which has 32 2-CPU nodes.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.636-643
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• 2013

The current media and content situation is increasingly more competitive and under the radical environment changes, the social & financial position of regional broadcasting companies has been threatened. The internet & mobile based platforms and smart media, however, bring a new opportunity of content distribution. This study analyzes the current status of MBCNET which is the superstation of regional MBC stations and specialists interviews to develop the content distribution strategies of regional broadcasting companies. According to the following: finance, ratings, and new media distribution analysis, the MBCNET outcome is deemed successful based on the content library and regional power. MBCNET utilized opportunity to develop strong content resources and distribution power. In order to maintain its competitive edge, MBCNET needs to adopt the following strategies: content and platform marketing power, research & development of competitive content based on user behavior analysis, and reorganization that is able to counteract N-screen circumstances.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.21 no.3
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• pp.151-163
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• 2010

It is necessary, due to changes in the information environment, to investigate problems in existing information retrieval systems. Ontologies and social tagging, which are a relatively new means of information organization, enable exploratory discovery of information. These two connect a thought of a user with the thoughts of numerous other people on the Internet. With these connection chains through the interactions, users are foraging information actively and exploratively. Thus, the purpose of this study is, through qualitative research methods, to identify numerous discovery facilitators provided by ontologies and social tagging, and to create an exploratory discovery model based on them. The results show that there are three uppermost categories in which 5, 4 and 4 subcategories are enumerated respectively. The first category, 'Browsing and Monitoring,' has 5 sub categories: Noticing the Needs, Being Aware, Perceiving, Stopping, and Examining a Resource. The second category, Actively Participating, has 4 categories: Constructing Meaning, Social Bookmarking and Tagging, Sharing on Social Networking, Specifying the Original Needs. The third category, Actively Extends Thinking, also has 4 categories: Social Learning, Emerging Fortuitous Discovery, Creative Thinking, Enhancing Problem Solving Abilities. This model could contribute to the design of information systems, which enhance the ability of exploratory discovery.

• Journal of the Korean Society for information Management
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• v.18 no.2
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• pp.273-294
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• 2001

In recent years, changes in the university libraries environment have led to increased emphases on improving or restructuring the organizational structures of university libraries. Technology, trends toward access over ownership, user focus, and restructuring in higher education are some of the major factors contributing to these changes. The users' new information retrieving behavior are emerged from the developments in information technology with new media and from the competitive research environments, and thus this trend has led to the gradual increase of collection arrangement by subjects rather than by forms, particularly from 1995 in Korean universities' libraries. Users especially in university libraries who are frequently seeking information on the specific subject, are going to find a room accoinmodating all forms of information on the subject, that is, one-stop information service. As a result, subject division structure have adopted as a new organizational structure in Korea. Our survey shows 34 out of 73 university libraries in Korea is taking this structure of which collections are arranged by subjects, while the rest of them are operating with a traditional organizational structure by forms focusing on keeping of collection management. In the future, university libraries with traditional organizational structure will be moving towards the subject division structure which is a recommended one by this study.

• Journal of Korea Game Society
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• v.9 no.3
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• pp.139-150
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• 2009

This paper attempts to investigate the establishment of an interactive knowledge base for action planning by virtual agents and an interactive knowledge-based planning system. A fixed knowledge base is unable to properly handle a change in circumstances because fixed planning is only available under a fixed knowledge base. Therefore, this paper proposes the establishment of an interactive knowledge base which is applicable to diverse environments and an artificial intelligence planning system in which an interactive knowledge base is available. The interactive knowledge base proposed in this paper consists of motivation, behavior, object and action. The association relationship between knowledge base and its input is set using an automation tool. With this tool, a user can easily add to or amend the components of the knowledge base. With this knowledge base, a character plans all action items and chooses one of them to take an action. Since a new action can be applicable by updating the knowledge base even when the character environment changes, it is very useful for virtual reality content developers. This paper has established a relationship between scalable interactive knowledge base components and other components and proposes a convenient input tool and a planning system algorithm effective for an interactive knowledge base. The results of this study have been verified through testing in a virtual environment ('virtual library').