• Journal of KIISE:Software and Applications
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• v.34 no.6
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• pp.539-548
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• 2007

Mobile content adaptation is a technology of effectively representing the contents originally built for the desktop PC on wireless mobile devices. Previous approaches for Web content adaptation are mostly device-dependent. Also, the content transformation to suit to a smaller device is done manually. Furthermore, the same contents are provided to different users regardless of their individual preferences. As a result, the user has difficulty in selecting relevant information from a heavy volume of contents since the context information related to the content is not provided. To resolve these problems, this paper proposes an enhanced method of Web content adaptation for mobile devices. In our system, the process of Web content adaptation consists of 4 stages including block filtering, block title extraction, block content summarization, and personalization through learning. Learning is initiated when the user selects the full content menu from the content summary page. As a result of learning, personalization is realized by showing the information for the relevant block at the top of the content list. A series of experiments are performed to evaluate the content adaptation for a number of Web sites including online newspapers. The results of evaluation are satisfactory, both in block filtering accuracy and in user satisfaction by personalization.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.682-684
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• 2005

본 논문에서는 시각적 웹페이지 세그멘테이션 기법을 웹 콘텐츠 변환에 적용하고 이를 사용하여 이동기기에 적합한 개인화 기법을 제안한다. 웹페이지를 사람이 시각적으로 구분하는 것과 유사한 블록으로 나누고, 각 블록의 속성을 파악하여 불필요한 블록은 필터링한다. 그리고 실제 내용을 나타내는 블록의 주제를 추출하여 휴대장치에 제공하는 효율적인 콘텐츠 적응화 기법을 제시한다. 또한 개인화된 콘텐츠를 제공하기 위해 적응화 과정에서 학습을 기반으로 사용자가 선호하는 정보만을 제공할 수 있는 개인화 기법을 제시한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.757-760
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• 2004

유비쿼터스 시대의 도래에 발맞춰 유저가 콘텐츠를 이용하는 방법과 사용하는 기기는 PC에 머물지 않고 점차 다양화, 소형화 되고 있다. 최근, 많은 콘텐츠 중에서 e러닝 콘텐츠에 대한 관심은 높아지고 있으며, 본 논문에서는 e러닝 콘텐츠를 다양한 디바이스에 적합한 콘텐츠로 동적 변환하는 모듈을 제안한다. CC/PP 기반의 디바이스 프로파일과 사용자 정보를 포함한 유저 프로파일, 콘텐츠 구성정보를 가진 콘텐츠 프로파일을 통합하여 특성을 추상화 한다. 추상화 된 프로파일을 기반으로 변환방법을 생성하여 콘텐츠에 적용함으로서 해당 디바이스에 적합한 콘텐츠로 적응화 한다. 기존 HTML의 경우 잘 구성된(Well-formed)문서가 아닌 경우가 많고, 문서 내에 데이터와 구조정보를 모두 포함하고 있으므로, 요구되는 데이터의 추출과 정형화된 변환룰의 적용에 어려움이 따른다. 그 대안으로 본 적응화 모듈은 문서의 데이터와 표현 구조를 분리 할 수 있는 XML/XSL 기반의 콘텐츠를 대상으로 하고 있으며, e러닝 콘텐츠의 특성에 적합한 콘텐츠 프리패치 및 캐시 기법을 적용하여 콘텐츠 동적변환에 따른 응답시간 오버헤드를 최소화 하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.819-822
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• 2008

The demand against the contents service which is various with improvement capability of the mobile device. But the capability of heterogeneous mobile device to display contents has a difference from the side of the hardware, software, network conditions so the adaptation of contents is a solution to overcome this difference. This adaptation of contents is based on profile(DDL : Device Description Language) but there is no system which manages the profile efficiently. In this paper, we designed independent DDR(Device Description Repository) system that offers storage and optimized profiles processed by searching and recombination with request conditions.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.10a
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• pp.320-323
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• 2008

Due to the improvement of mobile device capabilities, a demand for various contents service is increasing. But the differences from heterogeneous mobile devices force to develop contents which is dependent on a mobile. To solve this problem, adaptation course that reorganize contents by the device capability is needed. In this course, device description is described using device description language but there are some problems that is absence of device description repository and the way to get device description data. In this paper, I suggest device description acquisition module and define the interfaces to access device description repository that I designed and implemented.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.11
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• pp.2091-2096
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• 2008

Due to the improvement of mobile device capabilities, a demand for various contents service is increasing. But the differences from heterogeneous mobile devices force to develop contents which is dependent on a mobile. To solve this problem, adaptation course that reorganize contents by the device capability is hooded. In this course, device description is described using device description language but there are some problems that is absence of device description repository and the way to get device description data. In this paper, I suggest device description acquisition module and define the interfaces to access device description repository that I designed and implemented.

• The KIPS Transactions:PartA
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• v.16A no.5
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• pp.389-394
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• 2009

Lately the usage of multimedia equipment with small LCD displays is rapidly increasing. Although many people use devices like this, videos intended for TV or HDTV are sent to these mobile devices. Therefore cases where it is hard for the user to view the desired scenes are growing more frequent. Currently, most services simply reduce the size of the content to fit the screen when they offer it for mobile devices. However, especially with sports broadcasts, there are many areas that cannot be seen very well because it was simply reduced in size. We therefore consider this weakness and are researching how to let the user choose an area of interest and then sending it to the user in a way that fits the device. In this paper, we address the problem of video delivery and personalization. For the delivered video content, we suggest the UP-SAM User Personalized Context-Aware Service Adaptation Middleware) model that uses the video content description and MPEG-21 multimedia framework.

• Journal of Korea Multimedia Society
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• v.12 no.3
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• pp.427-435
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• 2009

Users are able to search and read interesting items and hence click hyperlink linked to the item which is detailed content unit such as menu, login, news, video, etc. Small screen like mobile device is very difficult to viewing all web contents at once. Browsing and searching for interesting items by scrolling to left and right or up and down is discomfort to users in small screen. Searching and displaying directly the item preferred by users can reduces difficulty of interface manipulation of mobile device. To archive it, web contents based on desktop will be segmented on a per-item basis which component unit of web contents. Most segment algorithms are based on segment method through analysis of HTML code or mobile size. However, it is difficult to extract item blocks. Because present web content is getting more complicated and diversified in structure and content like web portal services. A web content segment algorithm suggested in this paper is based on extracting item blocks is component units of web contents.

• Journal of the HCI Society of Korea
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• v.5 no.1
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• pp.1-9
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• 2010

The objective of this study is to present a prototype of organic content, using 3 Screen as the basic concept, and to examine the possible applications of such models. Organic content is something with the characteristics of an organism, which adapts to each unit while maintaining connectivity without losing identity, according to the situation of the user and the characteristics of each unit, opposed to contents that exist without connectivity among units. To this end, I produced a prototype called "Fishing Phone," which crosses over TV, 모바일 and PC. In the Fishing Phone, the fish adapts to each unit as it interacts differently with users while maintaining its own identity. It is an organic content that travels freely through the 3Screen. Fishing Phone was created by using technology and products widely used and serviced today, such as WiFi, java networking, flash player 7, omnia2, and space censors. It demonstrates that organic content can transcend the limitations of space in existing contents, generating new value, realizing complex interaction, and ultimately providing advanced applications for marketing.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.19-26
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• 2016

Among the various services for mobile banking, user authentication method using bank security card is still very useful. We can use mobile banking easily and safely in case of saving encoded security codes in smart phone and entering codes automatically whenever user authentication is required without bank security card. In this paper automatic recognition algorithm of security codes of bank security card is proposed in oder to enroll the encoded security codes into smart phone using smart phone camera. Advanced adaptive binarization is used for extracting digit segments from various background image pattern and adaptive 2-dimensional layout analysis method is developed for segmentation and recognition of damaged or touched digits. Experimental results of proposed algorithm using Android and iPhone, show excellent security code recognition results.