• Korean Journal of Child Studies
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• v.29 no.1
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• pp.33-48
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• 2008

This study analyzed social development and self-efficacy in use of internet in adolescents. Subjects were 510 7th, 8th, 10th, and 11th grade students in Daegu. Instruments were the modified Activities Questionnaire for Students (Heitner & Erica, 2(02), the Personality Inventory for Youth (Heitner & Erica, 2002) and the Self-Efficacy Scale (Song, 1998). Findings were that (1) male students use more synchronous (multi-game) but female students use more asynchronous (e-mail) and asocial (web-surfing) internet activity. (2) Synchronous social internet (multi-game) users were more social and more efficient than asynchronous (e-mail) and asocial (web-surfing) internet users.

• The Journal of Information Systems
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• v.10 no.1
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• pp.5-25
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• 2001

The main purpose of this paper is to develop a Delphi Decision Support System based on the web, which can improve the conventional Delphi method. Among major drawbacks of the conventional Delphi methods are cost and efforts to distribute and collect the questionnaire by the regular mail and the tardiness in collecting, categorizing, analyzing, and reporting the result of the questionnaire. With the proposed Delphi Decision Support System, the moderator sends the e-mail to invite the member of panels so that they may visit the homepage of the Delphi Decision Support System. When the panelists input their opinions about the issues, the Delphi Decision Support System analyzes the inputs and reports the result without delay. To implement the Delphi Decision Support System, we integrated Microsoft SQL Server 6.5, jdbcKona/MS SQLServer 4 JDBC driver, and Java Development Kit 1.2

• Proceedings of the Korean Society of Medical Physics Conference
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• 2002.09a
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• pp.133-135
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• 2002

We developed a system that can assist to automatically survey survived patients and to lighten the hard work imposed on radiation oncologists employing Radiation Oncology Greater Area Database (ROGAD) and Internet by web mail.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2531-2533
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• 2003

네트워크의 발달과 고성능 PC의 보급이 증가함에 따라 웹을 통한 이메일 사용량도 기하급수적으로 많아지고 있다. 또한 일반 사용자나 e-Commerce상에서 오가는 메일의 양도 갈수록 늘어나고 있다. 편리하다는 점을 이용해서 엄청난 양의 스팸메일도 매일 같이 쏟아져 나와 사회적 문제점으로 부각되고 있는 현실이다. 본 연구에서는 이메일 사용자 개개인에 맞게 메일을 자동 관리해주는 웹 메일 개인화를 위한 에이전트(An Agent for Web Mail Personalization)를 제안하고자 한다. 사용자가 새로운 메일을 받게 되면 먼저 사용자의 메일 처리과정을 학습하고, 각각 개인에 맞는 룰을 형성하고, 만들어진 개인적 룰(Personal Rule)를 바탕으로 메일을 자동 관리한다. 제안된 에이전트는 카테고리 설정, 카테고리별 분류 및 저장, 불필요한 메일이나 스팸메일을 자동 삭제 해 주는 것이다. 또한 자동분류 외에 수신된 메일에 대한 추천 카테고리(Recommendation Category)를 사용자에게 고려하게 하는 기능도 추가하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.195-197
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• 2022

In this paper, we intend to study the fundamental blocking methodology for the use of external commercial mail systems in the corporate internal Internet network, which is a common concern of public and administrative agencies. By checking the limitations of the blacklist-based blocking method used in the past, and by analyzing packet of the mail sending web page, the delimiter used for mail transmission is extracted, and the purpose is to monitor and block the leakage of intenal information of the company using whitelist technology.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.4
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• pp.505-512
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• 2002

Fast spreading of web made we get easily the vast amount of information all over the world, but quantity of great information on the Internet space is giving much troubles to recognize change of information that users are interested soon justly. That is, users must connect and examine one by one to relevant site to detect change of web documents that changes from time to time. Therefore, the development of Robot which accomplish Information change monitoring function that sense automatically changed contents and inform to user is required. In this paper, we designed and implemented Web site contents change monitoring system, which notify-automatically the change of Web documents to users through alarm or E-mail if user defines target URL to do monitoring, monitoring condition, monitoring period etc. And we presented the method that structure and classify Web Documents to semantic units using HTML Tag. Also, we introduced the concept of virtual key to manage position of word to watch some change efficiently.

• Journal of KIISE:Software and Applications
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• v.34 no.1
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• pp.30-39
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• 2007

The existing content-based spam mail filtering algorithms have difficulties in filtering spam mails when e-mails contain images but little text. In this thesis we propose an efficient spam mail classification algorithm that utilizes the link structure of e-mails. We compute the number of hyperlinks in an e-mail and the in-link frequencies of the web pages hyperlinked in the e-mail. Using these two features we classify spam mails and legitimate mails based on the decision tree trained for spam mail classification. We also suggest a hybrid system combining three different algorithms by majority voting: the link structure analysis algorithm, a modified link structure analysis algorithm, in which only the host part of the hyperlinked pages of an e-mail is used for link structure analysis, and the content-based method using SVM (support vector machines). The experimental results show that the link structure analysis algorithm slightly outperforms the existing content-based method with the accuracy of 94.8%. Moreover, the hybrid system achieves the accuracy of 97.0%, which is a significant performance improvement over the existing method.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.43-48
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• 2010

Useful emails influence on consumers' purchase behavior and activate them to visit retail stores. Regular contact with consumers by e-mail has positive effects on brand loyalty. However, email marketing has a limitation. Spam now accounts for over half of all e-mail traffic. The increase of email users has resulted in the dramatic increase of spam emails during the past few years. In this paper, we proposed an ontology-based system offering personalized email services to overcome such limitation. Our method is not the ontology-driven spam filtering, but a personalized content service considering personal interests and relations among people by using FOAF and domain ontologies. Our system was successfully tested in email marketing domain.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.10a
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• pp.349-352
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• 2000

As a lot of people have used electronic commerce, many shopping malls have appeared on the Interne and the shopping information in them has been enormous. So, the need for a system to recommend product to customers is on the increase so as to reduce time and efforts for shopping. In this paper, we suppose a Product Recommender System which is constructed by applying data mining techniques to web for files and analyzing customer's action pattern, customer's profile and product purchase data. This system offers convenience that customers can get their desired information easily, by sending e-mail or mail and recommending web pages when they visit a shopping mall.

• Journal of Korea Society of Industrial Information Systems
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• v.7 no.5
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• pp.175-182
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• 2002

The email system is one of the most popular internet applications used to transmit and exchange personal information. However, the pattern of existing email system is fixed, and the system cannot be expanded or re-used. This thesis has proposed the system which can provide the users with better e-mail data which is flexible, re-usable, and expandable XML data on the web-mail. The process of change is as follows: First, make the XML data to have a tree structure using DOM API and then bring the received messages of the users with the CDONTS. Last, transform the received messages into the element and element value. When the e-mail data is transformed t the XML data, 'the data' and 'the presentation' can be distinguished, which enables the users to see messages according to each individual's unique need. With this system, the user can not only convert data to XML, but also can combine the data segments to a form of letter box in order to manage data conveniently and search the data.