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문남미,Mun, Nam-Mi 한국데이터베이스진흥원 2003 디지털콘텐츠 Vol.11 No.-
미국의 ADL(Advance Distributed Learning)에서 제안한 스콤(SCORM; Sharable Content Object Reference Model)은 2000년 미국 국방부에서 발주한 6억달러에 이르는 e-러닝(e-Learning) 구축 입찰 계약에서 가이드라인으로 쓰여졌다. 용역 입찰 제안서에 스콤을 기초로 해 e-러닝 시스템을 구축하겠다는 내용이 명시돼야만 입찰에 참여할 수 있었던 것이다. 현재 제안된 e- 러닝 기술표준안들에 대한 국제인증 여부와 관계없이 e-러닝 실수요자 및 공급자의 움직임에 따라 이러한 추세는 향후 더욱 확대될 전망이다. 이 글에서는 실질적인 국제 표준으로 가장 근접해 있는 스콤의 내용 및 기술적 특징에 대해 설명하고자 한다.
Design of Multi-dimensional Contents Retrieval UI for Mobile IPTV
문남미,변재희,송주홍 한국정보처리학회 2011 Journal of information processing systems Vol.7 No.2
Since two-way interactive broadcasting service began, remote controls have been fitted with 4 color buttons, which enables interaction and convenience to increase between users and content. Currently, diverse studies on IPTV are in progress. Particularly, as the mobile market rapidly grows, studies on mobile IPTV and on linkage with other media are constantly increasing. However, mobile IPTV has never been studied until now. In that sense, this present study attempted to design a mobile-based IPTV UI that could use a multi-dimensional search method based on consistent criteria for content search. As a result, the proposed IPTV UI is fitted with more usability and functionality for 4 color buttons. The UI designed in this study was compared to the IMDb Android Application, which uses GOMS-KLM. The results showed that the performance process was reduced by three stages, and that the performance time was reduced by more than 17.9%. Therefore, the conclusion can be reached that the proposed UI is effective for a fast search of contents.
POI 에서 딥러닝을 이용한 개인정보 보호 추천 시스템
펭소니 ( Sony Peng ),박두순 ( Doo-soon Park ),김대영 ( Daeyoung Kim ),양예선 ( Yixuan Yang ),이혜정 ( Hyejung Lee ),싯소포호트 ( Sophort Siet ) 한국정보처리학회 2022 한국정보처리학회 학술대회논문집 Vol.29 No.2
POI refers to the point of Interest in Location-Based Social Networks (LBSNs). With the rapid development of mobile devices, GPS, and the Web (web2.0 and 3.0), LBSNs have attracted many users to share their information, physical location (real-time location), and interesting places. The tremendous demand of the user in LBSNs leads the recommendation systems (RSs) to become more widespread attention. Recommendation systems assist users in discovering interesting local attractions or facilities and help social network service (SNS) providers based on user locations. Therefore, it plays a vital role in LBSNs, namely POI recommendation system. In the machine learning model, most of the training data are stored in the centralized data storage, so information that belongs to the user will store in the centralized storage, and users may face privacy issues. Moreover, sharing the information may have safety concerns because of uploading or sharing their real-time location with others through social network media. According to the privacy concern issue, the paper proposes a recommendation model to prevent user privacy and eliminate traditional RS problems such as cold-start and data sparsity.
데이타 베이스 개념적 설계를 위한 전문가 시스템에 관한 연구
문남미,이석호 한국정보과학회 1986 한국정보과학회 학술발표논문집 Vol.13 No.1
데이타 베이스 설계 과정은 복잡하고 까다롭기 때문에 오랜 시간과 노력을 요구하고, 또한 고도의 전문 지식의 축적과 경험이 필요하다. 이와 같은 데이타베이스 설계 단계를 전문가 시스템을 이용하여 효율적이고 간편하게 할수있다. 이 논문은 데이타 베이스 설계 과정중 개념적 설계 단계를 위한 전문가 시스템의 설계, 구현에 관한 것이다. 이 시스템을 이용해서, 데이타 베이스 설계 과정에서 데이타 베이스 설계자와 시스템은 상호 작용이 가능하고, 사용자는 독학(heuristic)을 바탕으로 설계 규칙을 첨가시키거나 수정할 수 있다.
A Cultural Dimensions Model based on Smart Phone Applications
문남미,오정민 한국정보처리학회 2011 Journal of information processing systems Vol.7 No.1
One of the major factors influencing the phenomenal growth of the smart phone market is the active development applications based on open environments. Despite difficulties in finding and downloading applications due to the small screens and inconvenient interfaces of smart phones, users download applications nearly every day. Such user behavior patterns indicate the significance of smart phone applications. So far, studies on applications have focused mainly on technical approaches, including recommendation systems. Meanwhile, the issue of culture, as an aspect of user characteristics regarding smart phone use, remains largely unexamined throughout the world. Hence, the present study attempts to analyze the highest ranked smart phone applications downloaded and paid for that are ranked the highest in 10 countries (Korea, Japan, China, India, the UK, USA, Indonesia, Canada, France, and Mexico) and we then derive the CDSC (Cultural Dimensions Score of Content) for these applications. The results derived are, then, mapped to the cultural dimensions model to determine the CISC (Cultural Index Score for Country). Further, culturally significant differences in smart phone environments are identified using MDS analysis.