• Proceedings of the Korean Information Science Society Conference
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• 2004.10b
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• pp.604-606
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• 2004

유비쿼터스 컴퓨팅이라는 개념이 정보통신 분야의 패러다임으로 자리잡은 지 오래임에도 불구하고 실생활에서 이용 가능한 유비쿼터스 컴퓨팅 관련 서비스는 극히 적다 U-Messaging 서비스는 카메라가 내장된 모바일 단말기와 무선 인터넷을 활용하여, 캠퍼스 환경이라는 물리적 공간과 센서를 활용함으로써 유비쿼터스 컴퓨팅 개념을 잘 보여주고 있다. U-Messaging 서비스는 이미지 태그가 부착된 명패와 단말기를 이용하여 방문자의 음성과 문자 메시지를 전달하고 사용자는 나중에 방문기록과 메시지를 조회하도록 해주는 서비스이다. 학생과 일반인을 대상으로 한 사용성 평가결과 서비스에 대한 인지성, 편리성, 유용성 측면에서 만족할 안한 결과가 도출되었다.

• 한국정보교육학회:학술대회논문집
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• 2004.08a
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• pp.605-613
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• 2004

인터넷 등 각종 미디어의 발달은 정보에 대한 접근과 취득을 용이하게 만들었고 교육내용의 유용한 전달수단으로 자리 잡았다. 그러나 인터넷의 수많은 정보 중에서 단순한 정보의 취득만으로는 비구조적이고 복잡 다양한 여러 문제를 해결하는데 큰 효과를 발휘하지 못하므로 정보를 가공하여 도출되는 결과물인 지식을 취득하고 활용하여 문제를 해결하는 방안을 제시하였다. 인터넷의 엄청나 정보량은 어떤 정보가 학습자에게 필요한지 파악하기 어려우며 또, 원하는 정보를 적시에 손쉽게 취득하여 학습자가 원하는 지식으로 조합할 수 있는 방법에 익숙치 못하다. 지식검색 서비스는 간단한 키워드의 사용만으로 다양한 지식을 정보의 형태가 아니라 지식의 형태로 제공하기 때문에 빠르고 간편하게 문제를 해결하는 방법으로 지식검색 서비스 활용도는 매우 커지고 있다. 그러나 새로운 지식습득 방법으로 제시되는 지식검색 서비스가 과연 문제중심학습 등에서 문제를 해결할 수 있을 정도로 제공되는 지식이 정확성을 가지고 있는지, 다양한 범위를 가지는지, 손쉽게 사용할 수 있는지 등을 검증할 필요가 있다. 따라서 본 연구에서는 기존의 전통적인 검색방법을 이용한 지식습득과 지식검색 서비스를 이용한 지식의 습득에서 오는 차이를 분석하여 문제중심학습 등에 적용 가능한 현실적인 지식습득 방법과 개선책을 제시하고자 한다.

• Journal of KIISE
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• v.43 no.11
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• pp.1210-1215
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• 2016

Readership of online newspapers has grown with the proliferation of smart devices. However, fierce competition between Internet newspaper companies has resulted in a large increase in the number of hoax articles. Hoax articles are those where the title does not convey the content of the main story, and this gives readers the wrong information about the contents. We note that the hoax articles have certain characteristics, such as unnecessary celebrity quotations, mismatch in the title and content, or incomplete sentences. Based on these, we extract and validate features to identify hoax articles. We build a large-scale training dataset by analyzing text keywords in replies to articles and thus extracted five effective features. We evaluate the performance of the support vector machine classifier on the extracted features, and a 92% accuracy is observed in our validation set. In addition, we also present a selective bigram model to measure the consistency between the title and content, which can be effectively used to analyze short texts in general.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.4
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• pp.151-160
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• 2015

Internet-of-Things(IoT) is the computing environment to provide valuable services by interacting with multiple devices, where diverse devices are connected within the existing Internet infrastructure and acquire context information by sensing. As the concern of IoT has been increased recently, most of the industries develop many IoT devices. And, many people are focused on the IoT application that is utilizing different technologies, which are sensor network, communication technologies, and software engineering. Developing on-ground IoT application is especially even more active in progress depending on increasing of on-ground IoT devices because it is possible for them to access dangerous and inaccessible situation. However, There are a few studies related IoT. Moreover, since on-ground IoT application, which is different from typical software application, has to consider device's characteristics, communication, and surround condition, it reveal challenges, decreasing reliability. Therefore, in this paper, we analyze reliability challenges related to maturity and fault tolerance, one of reliability attributes, occurring in developing on-ground IoT applications and suggest the effective solutions to resolve the challenges. To verify proposed the challenges and solutions, we show result that is applying the solutions to applications. By presenting the case study, we evaluate the effectiveness of applying the solutions to the application.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.848-851
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• 2010

인터넷 사용의 증가와 함께 최근 많은 양의 정보가 인터넷에 쏟아지고 있다. 이들 정보는 다른 사람의 생각을 알고 싶어하는 정보 수집 연구자들에게는 매우 유용한 정보이다. 현재 존재하는 오피니언 마이닝 기법은 매우 다양하다. 그러나 이러한 기법들은 모든 의견들을 동일한 영향력을 지닌 것으로 취급한다. 하지만 현실에서는 모든 의견이 동일한 영향력을 가지고 있지는 않다. 이런 문제점 해결을 위해서 우리는 새로운 오피니언 마이닝 기법을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.721-722
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• 2009

인터넷 시장이 빠르게 성장함에 따라 사용자들의 참여도가 매우 높아졌다. 인터넷 사용자들은 시장의 상품과 더불어 영화와 같은 문화 생활에 관한 의견을 웹 상에 표현하기 시작했고, 현재에 들어 그 양이 방대해 졌다. 본 논문에서는 사용들이 작성한 영화에 관한 리뷰를 모아 방대한 양에서 유용한 정보를 효율적으로 도출하고 요약해서 사용자에게 제공하는 방법을 제안한다.

• Journal of Global Scholars of Marketing Science
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• v.13
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• pp.1-27
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• 2004

This study attempts to investigate the difference between the internet shoppingmall types. The main purpose of this study is to verify the relationships among shoppingmall evaluation criteria, shopping satisfaction, revisit frequency, and repurchase intention across the shoppingmall type. The following results were shown by testing eleven hypotheses using LISREL. First, shoppingmall evaluation criteria such as entertainment, product authentification, economical prices and on-time delivery were significantly related to shopping satisfaction in general merchandise shoppingmall. Second, in specialty shoppingmall, evaluation criteria like informativeness, economical prices and on-time delivery significantly affected shopping satisfaction. Third, as contrasted with the expectation, site design and product assortment did not have significant impact on satisfaction in both internet shoppingmall types. Fourth, shopping satisfaction was significantly related to revist frequency and repeat purchase intention. Finally, some theoretical and managerial implications were discussed.

• Journal of Internet Computing and Services
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• v.13 no.2
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• pp.119-126
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• 2012

The purpose of this study is to test the motivations for e-Learning service usage of smart device users. To do this, empirical data were collected by conducting a field survey with 382 smart-device based e-learners, and structural equation model was used for the purpose of analyzing the data acquired by the survey. A structural equation model was designed and constructed by such factors like usefulness, enjoyment, word-of-mouse(WOM) effect, and social interaction on e-Learning usage intention. In addition, social interaction has an influence on WOM effect. The results of the analysis are summarized as follows; first, usefulness, enjoyment, and WOM have direct effects on e-Learning usage intention. Second, social interaction not only has direct influence on e-Learning usage intention but also has indirect influence carried by WOM effect. The findings have significant implications which the study inquires into the factors for e-Learning usage motivations of smart-device based e-learners.

• Journal of KIISE:Software and Applications
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• v.36 no.9
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• pp.749-757
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• 2009

A Internet user can easily access to the target information by web searching using some key-words or categories in the present Internet environment. When some meta-data which represent attributes of several data structures well are used, then more accurate result which is matched with the intention of users can be provided. This study proposes a multiple dimensional vector tagging method for the small web user group who interest in maintaining and sharing the bookmark for common interesting topics. The proposed method uses vector tag method for increasing the effect of categorization, management, and retrieval of target information. The vector tag composes with two or more components of the user defined priority. The basic vector space is created time of information and reference value. The calculated vector value shows the usability of information and became the metric of ranking. The ranking accuracy of the proposed method compares with that of a simply link structure, The proposed method shows better results for corresponding the intention of users.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.1
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• pp.237-252
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• 2017

This study suggests a strategy to provide effective mobile advertising marketed by identifying factors affecting the use and avoidance intention of mobile advertising on SNS. This article has three main findings. First, each factor of usefulness, novelty and irritation have a significant effect on satisfaction and usefulness, clutter and irritation factor have a significant effect on dissatisfaction. Second, satisfaction and dissatisfaction of mobile advertising exist at the same time, and it is confirmed that they are considered when consumers use mobile advertising. The third finding is that effective mobile advertising avoids the boredom of ads through moderating irritation and should be used in fresh form with more useful information than other ads' form. The result of this study should be an important criterion that mobile advertising providers make advertisements that consumers want in the future.