• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.4
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• pp.83-90
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• 2012

With the rapid growth of internet infrastructure, World Wide Web is evolving recently into various services such as cloud computing, social network services. It simply go beyond the sharing of information. It started to provide new services such as E-business, remote control or management, providing virtual services, and recently it is evolving into new services such as cloud computing and social network services. These kinds of communications through World Wide Web have been interested in and have developed user-centric customized services rather than providing provider-centric informations. In these environments, it is very important to check and analyze the user requests to a website. Especially, estimating user preferences is most important. For these reasons, analyzing web logs is being done, however, it has limitations that the most of data to analyze are based on page unit statistics. Therefore, it is not enough to evaluate user preferences only by statistics of specific page. Because recent main contents of web page design are being made of media files such as image files, and of dynamic pages utilizing the techniques of CSS, Div, iFrame etc. In this paper, large log analyzer was designed and executed to analyze web server log to estimate web contents preferences of users. With mapreduce which is based on Hadoop, large logs were analyzed and web contents preferences of media files such as image files, sounds and videos were estimated.

• International Journal of Contents
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• v.1 no.1
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• pp.35-39
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• 2005

This research employs the intelligent application form agent to help people to locate the information they would want from Internet quickly. Based on Internet GUI environment, this user-friendly online application form program uses the agent concept to provide the customized, individual information to the users who registered their application form answers, to the extent of increasing the interest and participation of users. The system helps along with the decision making process, by quickening the information gathering process.

• Archives of design research
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• v.16 no.2
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• pp.23-34
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• 2003

The need for personalized web site design has been increased these days. Current approach for personalized web site design is easily applied to web site with their cost-effective feature, but is hard to provide a more refined personalized service due to its lack of accumulation of user data. In this study, the design recommender system is investigated as a more advanced method for web site design personalization. We provide an overview of current recommender systems, and then outlined a newly developed design recommender system, which employs collaborative filtering technique to provide tailored recommendation for users.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.06a
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• pp.905-910
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• 2003

Most of previous research on machining process planning has not fully included consideration on fixturing. With fixture components properly assembled with the part workpiece in a CAD modeling environment, necessary geometric information of fixture elements and their interrelations with the part model can be obtained so that machining process plans could incorporate fixturing considerations. This paper introduces an interactive fixturing system called I-Fix. I-Fix is a dowel-pin based modular fixture system, and it has been developed using Solid Edge CAD system and Visual Basic. Through customized operations of the assembly commands of the CAD system, I-Fix significantly simplifies user operations and thus reduces fixturing time. Furthermore, I-Fix enhances user convenience by providing general guidance about the fixture components and fixturing methods.

• Proceedings of the KSME Conference
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• 2008.11a
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• pp.1600-1602
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• 2008

Various applications of exoskeleton system are reported in the area of military, healthcare, and industries. More the user gets help from exoskeleton system, more power is consumed. To resolve this design conflict, we suggest an energy efficient exoskeleton system which compensates muscle fatigue in isotonic and isometric contraction conditions. Fatigue compensated exoskeleton significantly reduced muscle fatigue while consumed less operation power. In addition, the level of fatigue compensation can be managed by motor control using various input profile. It can make user customized exoskeleton system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.171-173
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• 2012

광범위한 스마트폰의 보급으로 인해 관련 APP 시장 또한 급격하게 증가하고 있다. 많은 APP이 개발되고 있지만 대부분 특정 분야에 집중되어 있으며 교육용 APP이 시장에서 차지하고 있는 비율은 극히 낮다. 시장 비율이 낮은 이유는 기존 출시된 대다수의 교육용 APP이 가지는 두 문제점 때문이다. 첫 번째는 동일 콘텐츠의 반복학습으로 인해 재사용 빈도가 많이 낮고 자기주도학습 능력을 이끌어 낼 수 없다는 점이며 두 번째는 문제 제공 및 정답 확인의 단순 구조로 되어 있어 사용자가 자신의 수준 및 취약 부분을 분석하기 힘들다는 점이다. 본 논문은 스마트폰 환경에서 앞서 언급한 두 가지 문제점을 해결하기 위해 시스템 구조 변경 없이 콘텐츠 변경이 가능하며 사용자의 수준을 파악할 수 있는 기능을 가진 사용자 맞춤 교육을 위한 교육용 앱 설계에 대하여 제안한다.

• Journal of Sensor Science and Technology
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• v.24 no.1
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• pp.62-68
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• 2015

The MPEG user description (MPEG-UD) which is a standard under exploration to ensure interoperability among customized recommendation services has been contributed since MPEG $104^{th}$ meeting at 2013. Twenty-two use cases that were divided into different applications have been proposed in the MEPG meetings. Most of use cases were referred to specific and restricted regarding to applications, it appears to miss an overall and explicit infra-structure. In this paper we describe a reference model, namely methodology to overcome aforementioned problems. Thereafter, we have applied reference model to context-based recommendation system to demonstrate the methodology and MPEG-UD schemas. In addition, we propose a development process of recommendation system in compliance with MPEG-UD.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.01a
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• pp.157-158
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• 2014

본 논문에서는 모바일용 맞춤형 웰니스 콘텐츠 추천을 위한 사용자 프로파일을 제안한다. 제안하는 프로파일에는 웰니스 콘텐츠를 제공받는 사용자의 웰니스 5 영역(신체, 정서, 사회, 지식, 정신) 각각의 선호도가 포함되어 있으며 사용자의 신변에 위험을 초래할 수 있는 신체적 제약 조건도 포함한다. 이 프로파일을 이용하면 사용자에게 맞춤형 웰니스 콘텐츠를 추천함에 있어 웰니스 5 영역을 모두 고려할 수 있으며 추가적으로 사용자의 질환 정보를 프로파일로 유지함으로서 사용자의 신체적 조건에 맞지 않는 콘텐츠를 선별하여 제외시키는 필터 및 안전 장치의 역할도 가능하게 한다.

• Journal of the Korea Society of Computer and Information
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• v.23 no.2
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• pp.99-107
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• 2018

This study started from the public interest purpose to help accessibility for the information acquisition of the vulnerable groups due to visual difficulties such as the elderly and the visually impaired. In this study, the server resources are minimized and implemented in most of the user smart phones. In addition, we implement a method to gather necessary information by collecting only pattern information by utilizing crawl & clipping without having to visit the site of the information of the various sites having the data necessary for the user, and to have it in the server. Especially, we applied the TTS(Text-To-Speech) service composed of smart phone apps and tried to develop a unified customized information collection service based on voice-based information collection method.

• International Journal of Advanced Culture Technology
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• v.8 no.4
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• pp.255-262
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• 2020

Recently, medical tourism is recognized as a high value-added industry because of its longer period of stay and higher expenditure than general tourism. In particular, although the number of medical tourists visiting Korea is increasing, the perception of Korean medical services is low. The purpose of this paper is to develop the app which, based on medical tourism type, recommends tourism destinations. Additionally, this proposed app can expand general tourism as well. It can provide tourists with medical information easily by sorting types tourists. Besides, as medical tourists normally stay long, we can take the advantage of post-treatment time. This app collects medical information data and tourist destination data, and categorizes the types of medical tourists into four categories: disease medical tourism, traditional medical tourism, cosmetic medical tourism, and recreational medical tourism. It provides medical information according to each type and recommends customized tourist destinations. User-based collaborative filtering is applied for tourist destination recommendations.