• Journal of The Korean Association of Information Education
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• v.2 no.2
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• pp.278-285
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• 1998

Computer users frequently request large scale multimedia data such as images. voice, video rather than conventional formal data. Data in virtual fossil museum are represented as points, shape, location in multidimensional space and interrelation with other spatial object. Informations in virtual fossil museum should be maintained to manipulate spatial object and non-spatial object. In this report we propose virtual fossil museum which is consisted of two parts. In the first step, basic system is implemented in internet for non-specialist such as primary students. This system is implemented based on visual multimedia information system so that non-specialist about computer can access easily. In the second step, expert system is designed which allows computer users can store, magnify, reduce, and retrieve the spatial data. This expert system uses animation, spatial query and VRML.

• Korean Journal of Construction Engineering and Management
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• v.9 no.6
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• pp.257-267
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• 2008

In order to encourage construction practitioners to acknowledge failures and disseminate the information, the failure information must be documented and accumulated with a well-structured format, which contains not only the fact and result but also the circumstance and cause of the failure. In the Korean construction industry, many failures are not explained clearly and often not even reported publicly, partly because due to the lack of understanding positive aspects of failures, which can improve construction practices as a result of learning from failures. The purpose of this study is to develop a web-based construction failure information system using the case-based reasoning techniques, which can systematically accumulate, manage, and share the valuable failure information using a structured failure cases database. It can be utilized for planning proactive solutions on future failures by searching the very similar past failure cases.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.8
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• pp.1223-1233
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• 2002

Recently various electronic books (I-Book) based on PDA (personal digital assistance) that we can easily use anytime and anywhere have been developed. Volume and weight of the E-Book is much less than that of traditional books. In that reason, it is easy to carry and serve us with contents by diverse functions such as searching, bookmark, dictionary, and playing of color image, sound or moving picture. On account of these advantages, many products connected with I-Book have been emerged in the market. However a product connected with educational contents is scarce, because it requires not only normal function but also additional functions such as a problem solving. Therefore it is actually necessary to develop a browser and an editor for educational contents. In this paper, we express educational contents by XML and define structure of document with XML schema. Then, we design and implement an editor and a browser that can manage educational contents on PDA.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.1
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• pp.23-28
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• 2018

In this work, we developed a platform that can monitor status and manage events of factory workplaces by providing events and data collected from various types of multi-touch technology based sensors installed in the workplace. By using the image recognition technology, faces of the people in the factory workplace are recognized and the customized contents for each worker are provided, and security of contents is enhanced by the authenticating an individual worker through face recognition. Contents control function through gesture recognition is constructed, so that workers can easily search documents. Also, it is possible to provide contents for workers by implementing face recognition function in mobile devices. The result of this work can be used to improve workplace safety, convenience of workers, contents security and can be utilized as a base technology for future smart factory construction.

• The Journal of Korean Association of Computer Education
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• v.14 no.2
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• pp.47-59
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• 2011

Linked Data is about using the web to link related data that wasn't linked previously. To publish linked data, people should be able to represent, share, and link pieces of data, information, and knowledge by using URIs and RDF. However, building linked data is not easy for the common users who do not know the knowledge or skill about using URIs and RDF. In this paper, we present a system that the common users can create linked data by connecting data originated from different RDFs. They build linked data by adding new links to connect between RDF data saved in their computers or searched from Swoogle. We can apply the proposed system to creating educational contents. For example, teachers can develop various learning contents by building linked data that connects different data suited to the learning level of their students.

• Journal of the Korean School Mathematics Society
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• v.15 no.2
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• pp.317-330
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• 2012

The purpose of this paper is to examine current state of curriculum research and research methods used in the research in Korea. Results from the review of peer-reviewed research articles suggest that the ways in which the research studies on curriculum in Korea sorted out issues seemed to heavily concentrate on the written and intended curriculum by means of a document analysis. The topics of curriculum studies were biased in the studies of intended curriculum, and a significant number of curriculum studies were related to elementary levels. Regarding the research methods, the findings showed that many studies on mathematics curriculum have focused on national curriculum, textbooks, and curriculum materials, document analysis are the most frequently used methods in the studies of mathematics curriculum. We finally suggest pursuing various research topics and issues on curriculum, balancing weigh on the written and enacted curriculum, and deeper analysis and investigation of textbooks.

• The Journal of the Korea Contents Association
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• v.20 no.2
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• pp.462-471
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• 2020

The Zolpidem, commonly used as a sleeping pill, binds to GABA receptors to increase neuro-inhibiting transporters. There are many cases where people take Zolpidem for more than four weeks in a row. The Drug Utilization Review, currently in effect in South Korea, can identify the use patterns of Zolpidem. It is necessary to prevent Zolpidem's misuse. The study was conducted from May 10, 2019 to May 15, 2019. Primary and secondary screening was performed out of 125,197 total retrieved documents. The final 254 literature cases directly related to Zolpidem's misuse were selected. Through systematic literature research through meta-analysis, we tried to find a way to prevent Zolpidem's misuse through the Drug Utilization Review. The distortion was minimized by applying it in the screening process. Zolpidem's misuse was severe and continued to increase its use. There has also been an increase in crime using Zolpidem. It has been analyzed that Zolpidem can be managed through Narcotics Integrated Management System and Drug Utilization Review. In order to reduce the use of Zolpidem, the supply through the Narcotics Integrated Management System and the demand through long-term user education should be suppressed.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.5
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• pp.551-559
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• 2003

This paper describes the data model and software development of XWS, an XWEET Web-wrapper System for generation wrapper program. To access information from various information sources, one has to convert and integrate source data into the same data model. XWS is developed as a part of XWEET project. We have implemented the XWS system using the Perl programming language stressing efficiency and ease-of-use. XWS has a few distinct features. First, data model and operator used for extracting information from HTML support a unified model of different views of HTML document. Second, it provides a user-friendly interface program to enable wrapper programmer to generate wrapper easily Third, XWS use the high-level script language designed by object-oriented methodology. In this paper, we also present the detail demonstration where it is useful for extracting article information from DBLP site.

• The KIPS Transactions:PartB
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• v.19B no.2
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• pp.149-154
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• 2012

The aim of this paper is to collect relevant keywords from clicklog data including user's keywords and URLs accessed using them. Our main hyphothesis is that two or more different keywords may be relevant if users access same URLs using them. Also, they should have higher relationship when the more same URLs are accessed using them. To validate our idea, we collect relevant keywords from clicklog data which is offered by a portal site. As a result, our experiment shows 89.32% precision when we define answer set to only semantically same words, and 99.03% when we define answer set to broader sense. Our approach has merits that it is independent on language and collects relevant words from real world data.

• Korean Journal of Cognitive Science
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• v.13 no.3
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• pp.33-46
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• 2002

Recently, unstructured random data such as website logs, texts and tables etc, have been flooding in the internet. Among these unstructured data there are potentially very useful data such as bulletin boards and e-mails that are used for customer services and the output from search engines. Various text mining tools have been introduced to deal with those data. But most of them lack accuracy compared to traditional data mining tools that deal with structured data. Hence, it has been sought to find a way to apply data mining techniques to these text data. In this paper, we propose a text mining system which can incooperate existing data mining methods. We use text mining as a preprocessing tool to generate formatted data to be used as input to the data mining system. The output of the data mining system is used as feedback data to the text mining to guide further categorization. This feedback cycle can enhance the performance of the text mining in terms of accuracy. We apply this method to categorize web sites containing adult contents as well as illegal contents. The result shows improvements in categorization performance for previously ambiguous data.