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Content Creation and Flow: Why They Clik or Create UCCs (콘텐츠 창조와 플로우:동영상 UCC 이용 동기)

  • Chun, Bang-Jee
    • The Journal of the Korea Contents Association
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    • v.8 no.12
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    • pp.222-235
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    • 2008
  • This study looks at motivations of video UCC users as a member of creative class. A qualitative research method was used for analyzing data collected by interviews. Killing time users, active clickers and creators are distinguished as different types of UCC users and their differing motivations are explored. The findings of the study are as follows: First, information sharing, self presentation, communication needs, ease of use for self presentation, usefulness are expressed as motivating factors for both active clickers and creators, Pleasure motivates every type of users. However, content creators experience a specific type of pleasure which is the pleasure of creativity or flow, which this study highlights as a key driving factor for content creators. The study adds to the findings of UCC user research which applies the TAM and the PAD model by revealing what pleasure and flow specifically mean for different types of UCC users.

A Real-time Monitoring and Simulation of Turbidity Flow using the RTMMS in Daecheong Reservoir (RTMMS를 이용한 대청호 실시간 탁수 감시 및 거동 예측)

  • Chung, Se-Woong;Yoon, Sung-Wan;Ko, Ick-Hwan;No, Jun-Woo;Kim, Nam-Il
    • Proceedings of the Korea Water Resources Association Conference
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    • 2006.05a
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    • pp.419-424
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    • 2006
  • 대청호로 유입하는 탁수의 감시와 저수지내의 시공간분포를 예측할 수 있는 실시간 탁수감시 및 예측시스템(RTMMS)을 개발하였다. RTMMS는 탁도와 수온 등 실시간 계측자료를 데이터베이스에 저장.조회하는 실시간 감시(Realtime Monitoring), 2차원 탁수예측 수치모델의 입력자료 생성(Input Data), 탁수예측 수치모델의 수행 (W2 Run), 모의결과의 조회 및 저수지 운영 시나리오별 탁수조절 효과분석을 위한 후처리 (Post-Process) 기능을 제공한다. 시스템의 GUI 화면은 개별 기능을 탭 형식으로 제공하여 사용자가 순차적으로 자료조회와 모델수행 그리고 결과분석을 쉽게 수행할 수 있도록 설계하였다. RTMMS는 강우사상 동안 유입하천의 수온예측을 위해 대기기온, 이슬점온도, 하천유량자료를 독립변수로 이용하는 다중회귀모델(DMR)을 사용하며, 탁도 예측은 유량과 SS 부하량의 상관관계를 이용하는 탁도예측모델(QLM)을 사용한다. 저수지로 유입한 탁수의 밀도류 거동과 시공간적인 탁도분포 예측은 2차원 횡방향 평균 수리 수질해석 모형인 CE-QUAL-W2를 채택하였다. 개발된 시스템은 2004년 홍수기를 대상으로 시범적용 하였으며, 그 결과를 실측자료와 비교하여 제시하였다. RTMMS는 저수지 탁수발생 현황조회, 취수원 도달시간 및 지속기간, 밀도류와 전도현상을 고려한 시공간 분포 예측, 발전 및 수문방류, 선택취수 등 다양한 저수지운영 시나리오에 따른 상.하류 영향 분석, 용수 이용자에게 탁도 예측정보의 제공 등 탁수를 고려한 저수지운영 의사결정지원 도구로써 매우 유용하게 활용 될 것으로 기대된다.

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Design of Multiprocess Models for Parallel Protocol Implementation (병렬 프로토콜 구현을 위한 다중 프로세스 모델의 설계)

  • Choi, Sun-Wan;Chung, Kwang-Sue
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.10
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    • pp.2544-2552
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    • 1997
  • This paper presents three multiprocess models for parallel protocol implementation, that is, (1)channel communication model, (2)fork-join model, and (3)event polling model. For the specification of parallelism for each model, a parallel programming language, Par. C System, is used. to measure the performance of multiprocess models, we implemented the Internet Protocol Suite(IPS) Internet Protocol (IP) for each model by writing the parallel language on the Transputer. After decomposing the IP functions into two parts, that is, the sending side and the receiving side, the parallelism in both sides is exploited in the form of Multiple Instruction Single Data (MISD). Three models are evaluated and compared on the basis of various run-time overheads, such as an event sending via channels in the parallel channel communication model, process creating in the fork-join model and context switching in the event polling model, at the sending side and the receiving side. The event polling model has lower processing delays as about 77% and 9% in comparison with the channel communication model and the fork-join model at the sending side, respectively. At the receiving side, the fork-join model has lower processing delays as about 55% and 107% in comparison with the channel communication model and the event polling model, respectively.

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The Relationship between Program Talk of the Town, Program Attention and Active Viewing among Ground Wave Channel, TV Channels of Comprehensive Programming, Cable TV (지상파와 종편·케이블 채널 간 프로그램의 화제성·프로그램 주목도와 능동적 시청의 관계 연구)

  • Hong, Ju-Hyun
    • The Journal of the Korea Contents Association
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    • v.18 no.11
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    • pp.222-235
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    • 2018
  • This study explores the factor which effects user's viewing on online in the situation of increasing viewing via OTT. After analyzing how the amount of news coverage and viewing rate affects user's active viewing, higher the number of views, In case of groundwave programs, if number of news coverage is high, hits of view and the number of comments is also high. While viewing rate, the number of views, the number of comments are independent of each other. In case of TV channels of comprehensive programming and cable TV, there is a interaction effect of viewing rate and the amount of news coverage. This study highlights the importance of the amount of news coverage when viewers is watching video on web.

Network Operation Support System on Graph Database (그래프데이터베이스 기반 통신망 운영관리 방안)

  • Jung, Sung Jae;Choi, Mi Young;Lee, Hwasik
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.22-24
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    • 2022
  • Recently, Graph Database (GDB) is being used in wide range of industrial fields. GDB is a database system which adopts graph structure for storing the information. GDB handles the information in the form of a graph which consists of vertices and edges. In contrast to the relational database system which requires pre-defined table schema, GDB doesn't need a pre-defined structure for storing data, allowing a very flexible way of thinking about and using the data. With GDB, we can handle a large volume of heavily interconnected data. A network service provider provides its services based on the heavily interconnected communication network facilities. In many cases, their information is hosted in relational database, where it is not easy to process a query that requires recursive graph traversal operation. In this study, we suggest a way to store an example set of interconnected network facilities in GDB, then show how to graph-query them efficiently.

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