• 제목/요약/키워드: Personalized Consumption

검색결과 56건 처리시간 0.034초

Implementation of TV-Anytime Compliant STB for Personalized TV Services

  • Lee Hee Kyung;Yang Seung Jun;Kim Jae Gon;Hong Jin Woo
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 학술대회지
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    • pp.576-580
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    • 2004
  • In this paper, we present a design and implementation of a TV-Anytime compliant STB to provide personalized content consumption according to user preferences and various terminal/network conditions. This paper mainly details with a metadata engine which consists of meta data de-multiplexing, metadata decoding, and metadata-based content browsing. For personalized content consumption, the proposed metadata engine provides the following key functionalities: advanced EPG, non-linear segment navigation wirh Tables-of-Content and/or event-based summary, automatic recommendation of user-preferred programs, and etc. The implemented STB employing the metadata engine is successfully tested with a set of service scenarios in an end-to-end broadcasting test-bed.

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개인화된 소비를 위한 방송 콘텐츠 저장 및 이동 방법에 관한 연구 (A Study on Storing and Removing Method of Broadcasting Content for Personalized Consumption)

  • 장재석;진성호;김휘용;노용만
    • 한국멀티미디어학회논문지
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    • 제10권7호
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    • pp.869-881
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    • 2007
  • 본 논문에서는 개인화된 소비를 위하여 방송 콘텐츠를 저장하고 이동하는 방법을 제안한다. 본 연구의 주된 목적은 디지털 방송 환경에서 사용자가 방송 콘텐츠를 소비함에 있어서 부가 콘텐츠의 소비, 사용자 데이터의 입력, 시청 기록 정보 등 생성되는 개인화 정보를 방송 콘텐츠와 함께 저장하여 관리함으로써 효과적인 방송 콘텐츠 소비를 돕기 위함이다. 본 논문에서 제안하는 방법은 이를 위해 다양한 형식의 데이터를 포함할 수 있고, 포함된 데이터에 대한 접근 및 추출이 용이하며 데이터 사이의 시간, 공간적인 관계를 유지하기 위하여 MPEG-4 파일 포맷 및 MPEG-21 파일 포맷 기반의 저장 파일 포맷을 사용하였다. 방송 콘텐츠 및 부가 콘텐츠들의 정보를 서술하기 위한 메타데이터로서 TV-Anytime 메타데이터를 활용하였으며, 제안된 방법을 검증하기 위해 저장 파일 포맷을 재생할 수 있는 재생 도구를 구현하고, 효과적으로 활용 가능한 응용 시나리오를 제시하였다.

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유비쿼터스 지능 공간에서의 지수 기반 상황인지 에너지경영 시스템 (An Index-Based Context-Aware Energy Management System in Ubiquitous Smart Space)

  • 권오병;이연님
    • 지식경영연구
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    • 제9권4호
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    • pp.51-63
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    • 2008
  • Effective energy consumption now becomes one of the area of knowledge management which potentially gives global impact. It is considerable for the energy management to optimize the usage of energy, rather than decreasing energy consumption at any cases. To resolve these challenges, an intelligent and personalized system which helps the individuals control their own behaviors in an optimal and timely manner is needed. So far, however, since the legacy energy management systems are nation-wide or organizational, individual-level energy management is nearly impossible. Moreover, most estimating methods of energy consumption are based on forecasting techniques which tend to risky or analysis models which may not be provided in a timely manner. Hence, the purpose of this paper is to propose a novel individual-level energy management system which aims to realize timely and personalized energy management based on context-aware computing approach. To do so, an index model for energy consumption is proposed with a corresponding service framework.

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개인맞춤생산 개념의 공예적 융합에 관한 연구 (A Study on the Craft Fusion of Personalized Production Concept)

  • 황선욱
    • 디지털융복합연구
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    • 제17권1호
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    • pp.327-335
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    • 2019
  • 개인맞춤생산은 4차산업혁명속에서 변화하는 생산과 소비를 대표하는 개념이다. 각 분야의 생산업체들은 이 개념을 도입하기 위해 많은 노력을 하고 있으나 공예분야, 특히 사회 곳곳에 퍼져있는 공방체제에서는 이와 같은 변화의 흐름을 찾아보기 어렵다. 이에 변화하는 생산과 소비에 발맞추어 공예공방속에서 개인맞춤생산을 융합할 수 있는 가능성을 가늠해 보고자 한다. 이를 위해 유사한 체계인 대량맞춤생산의 개념과 실예를 살펴보고 개인맞춤생산을 정의한 후 현대 공예 공방의 제작현황을 인지하고 결과적으로 생산성과 소통이라는 두 가지 기준점을 삼아 융합의 가능성을 살폈다.

Personalized Battery Lifetime Prediction for Mobile Devices based on Usage Patterns

  • Kang, Joon-Myung;Seo, Sin-Seok;Hong, James Won-Ki
    • Journal of Computing Science and Engineering
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    • 제5권4호
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    • pp.338-345
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    • 2011
  • Nowadays mobile devices are used for various applications such as making voice/video calls, browsing the Internet, listening to music etc. The average battery consumption of each of these activities and the length of time a user spends on each one determines the battery lifetime of a mobile device. Previous methods have provided predictions of battery lifetime using a static battery consumption rate that does not consider user characteristics. This paper proposes an approach to predict a mobile device's available battery lifetime based on usage patterns. Because every user has a different pattern of voice calls, data communication, and video call usage, we can use such usage patterns for personalized prediction of battery lifetime. Firstly, we define one or more states that affect battery consumption. Then, we record time-series log data related to battery consumption and the use time of each state. We calculate the average battery consumption rate for each state and determine the usage pattern based on the time-series data. Finally, we predict the available battery time based on the average battery consumption rate for each state and the usage pattern. We also present the experimental trials used to validate our approach in the real world.

양방향 개인맞춤형 모바일 방송 시스템 (Bidirectional Personalized Mobile Broadcasting System)

  • 이희경;양승준;이한규
    • 한국통신학회논문지
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    • 제35권2B호
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    • pp.361-371
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    • 2010
  • 지상파 DMB(Digital Multimedia Broadcasting) 시장의 활성화를 위한 방송망과 통신망이 융합되는 개인화된 방송 소비 환경을 이용한 메타데이터 기반 맞춤시청형 DMB 서비스 모델과 이를 위해 TTA(Telecommunications Technology Association)에서 제정한 DMB ECG(Electronic Content Guide) XML 표준에 대해 소개한다. 또한, DMB ECG XML 표준의 정확성과 DMB ECG 서비스의 유효성 검증을 위해 개발한 맞춤시청형 DMB 시스템에 대해 DMB ECG 메타데이터 저작단계에서부터 단말 소비단계에 이르는 전단계에 걸쳐 상세히 설명하고, 지상파 방송 실험(KBS)과 이동통신사와의 시범서비스(LGT) 수행 결과를 제시하여, 맞춤시청형 DMB 시스템의 표준 부합성과 효용성, 그리고 이동멀티미디어 방송 시장에서의 가능성을 보인다.

Metadata Broadcasting for Personalized Service: A Practical Solution

  • Kang, Kyeong-Ok;Kim, Jae-Gon;Lee, Hee-Kyung;Chang, Hyun-Sung;Yang, Seung-Jun;Kim, Young-Tae;Lee, Han-Kyu;Kim, Jin-Woong
    • ETRI Journal
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    • 제26권5호
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    • pp.452-466
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    • 2004
  • As the number of broadcasting channels and programs increases rapidly, the importance of personalized service has been emphasized. In this paper, we propose a practical framework of metadata broadcasting to provide personalized service according to user preferences and various terminal/network conditions. First, we present an overall system architecture of a metadata broadcasting system and then propose several core technologies (particularly in the parts of metadata authoring, metadata encoding, and metadata-based personalized content consumption). For interoperability, the proposed solution is designed to be compliant with the relevant standards of the TV-Anytime Forum, MPEG-7 Systems, and MPEG-2 Systems. Considering a home network environment, we also propose a metadata-based content adaptation scheme. Each component technology has been implemented individually, integrated into an end-to-end prototype broadcasting system, and successfully tested with a set of personalized service scenarios that are also developed in this study.

맞춤형샴푸 사용에 따른 두피상태 변화 추이 연구 (A Study on Trends in Scalp Condition Based on Use of Customized Shampoo)

  • 이은지;이정현
    • 한국의류산업학회지
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    • 제26권3호
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    • pp.273-278
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    • 2024
  • Consumer preferences for food are influenced by personal values and personalities. Social, economic, and cultural developments in modern society have influenced consumer lifestyles and brought about multiple changes in consumption patterns. In the beauty market, consumers are now more interested in specialized offerings, and an increasing number of people are opting for customized products in a market structure where mass production has led to mass consumption. Hair products are now manufactured as functional cosmetics designed to maintain and improve scalp health and hair growth by removing waste from the scalp and adding fragrance for cleanliness, breaking away from the concept of general cosmetics. Many studies have focused on personalized products in the cosmetics industry. This study aimed to accurately determine scalp types and further diagnose individual scalp conditions using a scalp diagnostic device. Based on the diagnoses, it recommended and provided personalized shampoos in order to understand how these shampoos improved scalp health. By objectively analyzing and comparing scalp conditions before and after using customized shampoos, the study demonstrated a significant effect on scalp health. The results of this study confirmed the perception and effectiveness of personalized shampoos.

Multimedia Information and Authoring for Personalized Media Networks

  • Choi, Insook;Bargar, Robin
    • Journal of Multimedia Information System
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    • 제4권3호
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    • pp.123-144
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    • 2017
  • Personalized media includes user-targeted and user-generated content (UGC) exchanged through social media and interactive applications. The increased consumption of UGC presents challenges and opportunities to multimedia information systems. We work towards modeling a deep structure for content networks. To gain insights, a hybrid practice with Media Framework (MF) is presented for network creation of personalized media, which leverages the authoring methodology with user-generated semantics. The system's vertical integration allows users to audition their personalized media networks in the context of a global system network. A navigation scheme with dynamic GUI shifts the interaction paradigm for content query and sharing. MF adopts a multimodal architecture anticipating emerging use cases and genres. To model diversification of platforms, information processing is robust across multiple technology configurations. Physical and virtual networks are integrated with distributed services and transactions, IoT, and semantic networks representing media content. MF applies spatiotemporal and semantic signal processing to differentiate action responsiveness and information responsiveness. The extension of multimedia information processing into authoring enables generating interactive and impermanent media on computationally enabled devices. The outcome of this integrated approach with presented methodologies demonstrates a paradigmatic shift of the concept of UGC as personalized media network, which is dynamical and evolvable.

도서 정보 및 본문 텍스트 통합 마이닝 기반 사용자 맞춤형 도서 큐레이션 시스템 (Personalized Book Curation System based on Integrated Mining of Book Details and Body Texts)

  • 안희정;김기원;김승훈
    • Journal of Information Technology Applications and Management
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    • 제24권1호
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    • pp.33-43
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    • 2017
  • The content curation service through big data analysis is receiving great attention in various content fields, such as film, game, music, and book. This service recommends personalized contents to the corresponding user based on user's preferences. The existing book curation systems recommended books to users by using bibliographic citation, user profile or user log data. However, these systems are difficult to recommend books related to character names or spatio-temporal information in text contents. Therefore, in this paper, we suggest a personalized book curation system based on integrated mining of a book. The proposed system consists of mining system, recommendation system, and visualization system. The mining system analyzes book text, user information or profile, and SNS data. The recommendation system recommends personalized books for users based on the analysed data in the mining system. This system can recommend related books using based on book keywords even if there is no user information like new customer. The visualization system visualizes book bibliographic information, mining data such as keyword, characters, character relations, and book recommendation results. In addition, this paper also includes the design and implementation of the proposed mining and recommendation module in the system. The proposed system is expected to broaden users' selection of books and encourage balanced consumption of book contents.