• Women's Health Nursing
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• v.7 no.3
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• pp.373-381
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• 2001

Web sites on the internet are excellent resources for the younger generation to gain information related to sexuality education. The potential benefits of the information of sexuality education on web sites are obvious. But the information of sexuality education on web sites could also result in potentially negative effects. Yet the quality of the information of sexuality education on web sites is variable and difficult to assess. There is no rating criteria for quality assessment of the information on web sites. The rating criteria for quality assessment of information of sexuality education were investigated and reviewed. Among the criteria, best 15 items to evaluate the information of sexuality education on web sites were selected and identified in this study. 15 items were categorized to reliability ( 3 items ), content ( 6 items ), goal ( 2 items ), design & technology ( 4 items ). This 15-items questionnaires is considered as commonly implementable criteria for the information of sexuality education on web sites in Korean. 20 web sites related to sexualtiy education were evaluated and the results were discussed.

• The KIPS Transactions:PartD
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• v.15D no.4
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• pp.485-494
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• 2008

Huge amounts of various web items such as keywords, images, and web pages are being made widely available on the Web. The popularities of such web items continuously change over time, and mining temporal patterns in popularities of web items is an important problem that is useful for several web applications. For example, the temporal patterns in popularities of search keywords help web search enterprises predict future popular keywords, enabling them to make price decisions when marketing search keywords to advertisers. However, presence of millions of web items makes it difficult to scale up previous techniques for this problem. This paper proposes an efficient method for mining temporal patterns in popularities of web items. We treat the popularities of web items as time-series, and propose gapmeasure to quantify the similarity between the popularities of two web items. To reduce the computation overhead for this measure, an efficient method using the Fast Fourier Transform (FFT) is presented. We assume that the popularities of web items are not necessarily following any probabilistic distribution or periodic. For finding clusters of web items with similar popularity trends, we propose to use a density-based clustering algorithm based on the gap measure. Our experiments using the popularity trends of search keywords obtained from the Google Trends web site illustrate the scalability and usefulness of the proposed approach in real-world applications.

• Korean Parent-Child Health Journal
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• v.5 no.1
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• pp.90-100
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• 2002

Web sites on the internet are excellent information resources for the consumers to gain health care knowledge. Especially web sites related to child-care more increase recently. But a concern has emerged for the quality of contents contained on the child-care web sites. Lack of evaluation criteria have led to inaccurate and misleading child-care related publications on the Internet. For evaluating the quality and reliability of child-care related information on the Web, rating tool should be provided and developed. So, this article reviewed and investigated the elements to evaluate child-care sites on the internet. On the basis of the review of articles and the validity test about the contents, 16 preliminary items including purpose, contents, authority, feedback, design developed. Through the pilot study that apply the preliminary evaluating criteria to 20 evaluating criteria for child-care web sites developed. This evaluating criteria have 24 items and that were categorized to purpose(2 items), detail of contents(16 items), authority(2 items), feedback(2 items), design(4 items). The result of this study suggest that the evaluation criteria for child-care web sites may be useful for evaluating the quality of child-care web sites.

• Journal of Information Technology Services
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• v.8 no.4
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• pp.87-101
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• 2009

The current information system audit merely inspects a web based information system by focusing on checking items that are extracted from structured and information engineering model and object-oriented component model. As a result, the checking item of web contents and design is inadequate. This paper aims to extract audit framework in order to strengthen the audit of web contents and design during the development of the web based information system and to suggest checking items based on audit framework. For this, the web development process and web site evaluation model were studied, compared, and analyzed with the current information system development audit. From a result of the survey, it was found that the adequacy of the suggested audit framework and audit checking items is above the average value. It is believed that the suggested audit framework is helpful for the audit of web based information system.

• International journal of advanced smart convergence
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• v.10 no.4
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• pp.22-29
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• 2021

For web application vulnerability diagnosis, from the development stage to the operation stage, it is possible to stably operate the web only when there is a policy that is commonly applied to each task through diagnosis of vulnerabilities, removal of vulnerabilities, and rapid recovery from web page damage. KISA presents 28 evaluation items for technical vulnerability analysis of major information and communication infrastructure. In this paper, we diagnose the vulnerabilities in the automobile goods shopping mall website and suggest security measures according to the vulnerabilities. As a result of diagnosing 28 items, major vulnerabilities were found in three items: cross-site scripting, cross-site request tampering, and insufficient session expiration. Cookie values were exposed on the bulletin board, and personal information was exposed in the parameter values related to passwords when personal information was edited. Also, since the session end time is not set, it was confirmed that session reuse is always possible. By suggesting security measures according to these vulnerabilities, the discovered security threats were eliminated, and it was possible to prevent breaches in web applications and secure the stability of web services.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.1
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• pp.21-26
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• 2006

In this paper, we propose a customer personalized system that presents the web pages to users which are customized to their individuality. It analyzes the action of users who visit the shopping mall, and preferentially supplies the necessary information to them. When they actually buy some items, it forecasts the user's access pattern to web site and their following purchasable items and improves their web page on the bases of their individuality. It reasons the relation among the web documents and among the items by using the log data of web server and the purchase information of DB. For reasoning, it employs Apriori algorithm, which is a method that searches the association rule. It reasons the web pages by considering the user's access pattern and time by using the web log and reasons the user's purchase pattern by using the purchase information of DB. On the basis of the relation among them, it appends the related web pages to link of user's web pages and displays the inferred goods on user's web pages.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.11a
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• pp.29-32
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• 2006

In this paper, we propose a customer personalized system that presents the web pages to users which are customized to their individuality. It analyzes the action of users who visit the shopping mall, and preferentially supplies the necessary information to them. When they actually buy some items, it forecasts the users' access pattern to web site and their following purchasable items and improves their web pare on the bases of their individuality. It reasons the relation among the web documents and among the items by using the log data of web server and the purchase information of DB. For reasoning it employs Rough Set, which is a method that searches the association rule and offers most suitable cases by reduces cases. It reasons the web pages by considering the users' access pattern and time by using the web log and reasons the users' purchase pattern by using the purchase information of DB. On the basis of the relation among them, it appends the related web pages to link of users' web pages and displays the inferred goods on users' web pages.

• The Journal of Korean Association of Computer Education
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• v.7 no.6
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• pp.59-68
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• 2004

Cooperative web-based learning is an teaching strategy in which small teams, each of students with different levels of ability, use a variety of learning activities to improve their understanding of a subject via the web. The objective of this paper is to propose new assessment items for evaluating students fairly in cooperative web-based learning. As a result, improved academic achievement, improved behavior and attendance, and increased self-confidence can be made in cooperative web-based learning due to the fair assessment, In this paper, the environment and instructional strategies for successful learning are firstly examined. In addition, the existing evaluation items in traditional classroom are also analyzed in order to develop new evaluation criteria in the web. Based on these analyzed items, we propose new evaluation items for cooperative web-based learning. In addition, the proposed items related to participant ratio, cooperability, and accountability are analyzed according to team organization styles and instructional models.

• Journal of Information Technology Services
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• v.19 no.4
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• pp.63-84
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• 2020

With the recent announcement of the WCAG2.2 Work Draft of the W3C, revision of the WCAG2.2 guidelines will be made soon. Consequently, the revision of KWCAG2.1 in response to changes in the domestic and international environment of web accessibility is urgent. The revision primarily involves development and selection of web accessibility evaluation items. In this study, the efficient procedures and useful methodologies for developing and selecting the evaluation items are to be presented. FGI (Focus Group Interview) has been devised to reflect every stakeholders opinion fairly. GT (Group Technology) has been applied to expedite the revision processes particularly in the FGI. QFD (Quality Function Deployment) method plays an important role in investigating the relationship between evaluation items and its characteristics, and in analyzing the importance and priorities of each item. This study proposes 5 principles, 17 guidelines and 39 evaluation items which can be used for the revision of KWCAG 2.1. This study is expected to be of great help in establishing the KWCAG 2.2 in the near future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.3 no.6
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• pp.628-646
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• 2009

Users want to browse and search various web contents with mobile devices which can be used anywhere and anytime without limitations, in the same manner as desktop. But mobile devices have limited resources compared to desktop in terms of computing performance, network bandwidth, screen size for full browsing, and etc, so there are many difficulties in providing support for mobile devices to fully use desktop-based web contents. Recently, mobile network bandwidth has been greatly improved, however, since mobile devices cannot provide the same environment as desktop, users still feel inconvenienced. To provide web contents optimized for each user device, there have been studies about analyzing code to extract blocks for adaptation to a mobile environment. But since web contents are divided into several items such as menu, login, news, shopping, etc, if the block dividing basis is limited only to code or segment size, it will be difficult for users to recognize and find the items they need. Also it is necessary to resolve interface issues, which are the biggest inconvenience for users browsing in a mobile environment. In this paper, we suggest a personalized adaptation system that extracts item blocks from desktop-based web contents based on user interests, layers them, and adapts them for users so they can see preferred contents first.