• Proceedings of the Korea Information Processing Society Conference
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• 2000.10b
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• pp.1529-1532
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• 2000

제 3 세대 이동 통신인 IMT-2000 서비스의 목적은 언제 어디서나 어떠한 환경 하에서도 고품질의 영상과 신뢰성 있는 멀티미디어 서비스를 제공한다는 점이다. 기존의 2 세대 이동통신에서의 엔터테인먼트 서비스가 텍스트 기반의 온라인 게임이나 단순한 이미지 및 그래픽 파일 그리고 저 해상도의 영상만이 제공되었다면 IMT-2000 상에서의 엔터테인먼트 서비스는 개인화가 부각된, 눈으로 보고 느낄 수 있는 고 부가가치의 영상서비스를 제공 할 것이다. 사용자는 정지 또는 이동 중에도 IMT 단말기로 3 차원 게임을 즐기고 실시간 또는 주문형 영상 및 음악을 시청하며 여행정보를 수집하는 등의 더욱 더 효과적인 무선 오락을 즐길 수 있도록 기존의 시간 때우기 식의 개념에서 벗어나 자신만의 가상 세계를 체험할 수 있는 사이버 월드의 킬러 서비스로서 기반을 다져가야 할 것이다. 본 고에서는 IMT-2000 엔터테인먼트 서비스와 이에 관련되는 소요기술 등을 기술 하고자 한다.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.95-104
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• 2019

Recently, software education has been emphasized as a key element of the fourth industrial revolution. Many universities are strengthening the software education for all students according to the needs of the times. The use of online content is an effective way to introduce SW education for all students. However, the provision of uniform online contents has limitations in that it does not consider individual characteristics(major, sw interest, comprehension, interests, etc.) of students. In this study, we propose a recommendation method that utilizes the directional similarity between contents in the boolean view history data environment. We propose a new item-based recommendation formula that uses the confidence value of association rule analysis as the similarity level and apply it to the data of domestic paid contents site. Experimental results show that the recommendation accuracy is improved than when using the traditional collaborative recommendation using cosine or jaccard for similarity measurements.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.37-44
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• 2021

This study is about a strategy to analyze learning activities in an intelligent learning system. To this end, the conceptual definition of the intelligent learning system and the type of learning using the intelligent learning system were analyzed. The learning types were presented as individual, adaptive, competency-based, and blended learning, and although there are some differences, most of them have similar characteristics. In addition, learning activity analysis is based on data such as mouse clicks, keyboarding, and uploads generated by the system. Through this, basic analysis such as viewing time and number of uploads can be performed. However, more diverse learning analysis is needed for personalization and adaptation. It can judge not only learning attitude and achievement level, but also metacognitive level and creativity level. However, since the level of metacognition includes complex human cognitive activities, the teacher's intervention is required in the judgment of the intelligent learning system.

• Journal of Korea Multimedia Society
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• v.13 no.10
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• pp.1413-1422
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• 2010

With the emergence of digital TV broadcasting, various channels are provided to a TV audience. But it is getting hard for the audience to find his or her preferred TV programs due to the huge number of TV channels. In order to mitigate the difficulty, TV broadcasting companies provide an electronic program guide (EPG), which is a digital guide to scheduled broadcast TV programs. However, it results in the information overload problem and the time-consuming problem since the number of TV channels and programs is gradually on the increase. In this paper, we design and develop a channel filtering system, which recommends a small number of channels by filtering TV channels based on the watching pattern of the TV audience. The channel filtering system does not require the replacement or upgrade of existing TV or set-top box. In addition, it increases usability by skipping the channels that broadcast the audience's non-preferred TV programs while the TV audience presses the channel up/down button.

• Journal of Broadcast Engineering
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• v.15 no.5
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• pp.632-641
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• 2010

This paper shows the research about the personalized broadcasting system. The personalized broadcasting is the service that users only show the programs which they want to watch when they want to watch these. The purpose of the bi-directional broadcasting service is supporting more satisfied and more personalized services by permitting the bi-directional data transformation. This research also develops the user profiling system for the bi-directional and personalized broadcasting service. This system applied the TV-Anytime metadata specifications which is the standard for the personalized broadcasting services, the system supports the various functions for the bi-directionl and personalized broadcasting such as the user profiling, contents metadata and targeting advertisement services. The bi-directional and personalized broadcasting system increases the users' satisfaction with the recommendation and management of the personally favorite broadcasting contents and advertisements, the trial run results show that the services raise the users' satisfaction with the intelligent and discriminating broadcasting services.

• Journal of KIISE:Computing Practices and Letters
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• v.9 no.6
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• pp.683-692
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• 2003

The rapid increase of the number of channels makes it hard to find wanted programs from TV. In recent years, the number of channels come up to hundreds with the digital TV arrival. So, it will drive us to the new way of watching TV. In this paper, we introduce a recommendation system for TV programs to overcome this difficulty. We model user profiles and design each module of the system, considering TV environment. Our system gathers basic information from people manually and then updates user profiles automatically by tracking viewing and usage history. As a result, our system recommends daily TV programs based on the changing interest of users. In this paper, we address the problems and solutions by describing our system and the experiment.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.182-183
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• 2016

최근 UHDTV 방송의 대두와 함께 방송 부가 서비스에 대한 관심이 높아지고 있다. ATSC 3.0, HbbTV, IBB 등 각 방송 표준 기구로부터 부가서비스에 대한 표준이 공표되고 있으며, 이 표준들은 공히 Companion Screen에 대한 내용을 포함하고 있다. Companion Screen은 사용자가 TV를 통하여 시청하고 있는 컨텐츠에 대한 부가 정보를 사용자의 스마트폰/태블릿으로 표시할 수 있어 방송 기반의 개인화 서비스 구현방법으로 각광받고 있다. 본 논문에서는 이러한 Companion Screen과 IoT 기기의 연동을 통한 서비스 구성 방법을 제시한다. IoT는 최근 급격한 발전을 거듭하고 있으며 다양한 제품군의 출시도 지속적으로 이루어지고 있다. 이러한 IoT를 Companion Screen과 연계하여 활용함으로써, 방송과 통신을 연계하는 신규 서비스의 구성이 가능할 것으로 예상된다. 본 논문에서 제시하는 서비스 구성 기법은 방송에 내제된 부가 정보 기반의 IoT 제어를 Companion Screen을 통하여 구성할 수 있도록 한다.

• Electronics and Telecommunications Trends
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• v.26 no.4
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• pp.14-21
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• 2011

본 고는 스마트TV 광고 시장 및 기술 동향에 대하여 소개한다. 2012년은 디지털 방송 전환과 스마트TV, 3DTV 등 신규 서비스 출현 등으로 오랜 세월 집안의 강력한 엔터테인먼트 기기 중 하나인 TV의 변화가 본격적으로 시작된 해이다. 방송 미디어 서비스의 변화는 디지털 방송 전환에 따른 단순한 시청 품질의 향상뿐만 아니라, 양방향 서비스, 부가데이터 제공, TV 연계형 개인 휴대단말과의 동기화된 미디어 서비스 등 다양한 형태로 나타날 수 있다. 광고는 방송 미디어의 주 비즈니스 모델이며, 위와 같은 TV 환경의 변화에 큰 영향을 받을 것으로 예상된다. 변화에 대응하고 방송광고 시장의 활성화를 위해서는 광고 관련 법, 제도 정비, 표준화와 함께 광고 특화된 기술 개발이 필요하다. 광고 산업계에서 요구하는 기술 수요는 변화하는 미디어 환경에서의 광고물의 제작, 중개 및 유통, 소비, 효과 측정 및 분석 등 광고 생태계상의 전 영역을 포함하며, 각 영역에서의 당면한 기술적 이슈에 대해 소개한다.

• Journal of Satellite, Information and Communications
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• v.8 no.4
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• pp.117-123
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• 2013

The development of the latest emotional recognition and multimedia technology has changed the traditional broadcasting system. The previous broadcasting system, which was operated by the terrestrial broadcasters, is now transformed to the viewer-centered and bidirectional broadcasting through the convergence of internet, mobile and smart TV. In this paper, smart-phone application for estimating human emotion(sadness, anger, depression) has been developed and emerged with smart TV, thereby we can present broadcasting service for enhancing the sense of common humanity among people of same group. If there is friend in the depression, we can bring comfort to him by inviting one for TV program what I watch and having a honest talk with facial avatar or emoticon. The proposed emotional broadcasting service inter-working with smart-phone application can give feeling of belonging and happiness to the people suffering from the blues, and it can prevent him from attempting suicide. In addition, smart-phone based emotional broadcasting service can be expended to program recommendation service customized to user's emotion, emotional LED lighting service to maximize the sense of reality and home shopping service taking advantage of the mood of customer.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.8
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• pp.315-320
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• 2015

The purposed of this research is to develop multimedia content usage analysis service platform. In the proposed platform, the content gazing behaviors of the users are monitored and profiled in real-time and a set of quantifiable metrics is provided. These metrics are used to determine the closeness of the users' behavior from the intent set by the provider. Based on the evaluation, it is possible to assess the effectiveness of the contents themselves as well. The content usage assessment is accomplished by utilizing the intention flow and the intent weight, which are embedded into the content by the content provider. Proposed methodology can be effectively applied and used in various application domains such as in education and in commercial advertisements.