• Title/Summary/Keyword: 부산 센텀시티

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A Study on the Administrative Spatial Informatization and Ubiquitous Smart City : Focus on Busan Centum City (유비쿼터스 스마트 도시와 행정공간정보화 연구 - 부산 센텀시티 중심으로 -)

  • Lee, Sang-Yun;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.11 no.4
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    • pp.351-364
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    • 2016
  • In recent years, our society, because of the arrival of a new paradigm according to the rapid changes in ICT has entered into future smart society and the ubiquitous era. So it can be a notable turning point in the city and administrative spatial informatization, aspects of the era change. Therefore, this study was to derive a desirable vision for the city of Busan Centum City Informatization in the dream of leading global smart city of Busan by applying 'scenario planning' as a foresight method. Soon this study derived a successful local informatization strategy for Centum City in Busan. It proposed the use of the administrative aspects of information with spatial informatization as metadata information. Also this study explored the future leadership strategy of Busan Centum City in smart society. Eventually in 2030 to around, In order to still remain Busan Centum City as a leading ICT smart city, this study suggested the following strategy. It is important to increase the satisfaction of citizen services through the use of the administrative aspects of information with spatial informatization as metadata information for urban information system.

Building a developmental urban matrix : a Busan city case study (발전주의 도시 매트릭스의 구축 -부산의 강남 따라하기를 사례로 -)

  • Hwang, Jin-Tae
    • Journal of the Korean association of regional geographers
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    • v.22 no.2
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    • pp.331-352
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    • 2016
  • This paper pays attention to the fact that not only Gangnam but also cities outside Seoul that attempt to follow the Gangnam model are deeply involved in Korean developmental urbanism. It examines discursive materials such as newspaper articles, newspaper advertisements and online debates as significant sources of information showing how certain districts are materially and discursively constructed by diverse actors in the national capital and in other cities. The result of in-depth interviews lasting up to two hours reveals local residents' imagined geographies. The article emphasizes that the so-called "Gangnam problem" should be understood as existing beyond the physical, symbolic and administrative boundaries of Gangnam, in cities that follow the Gangnam model. This study helps to provide an epistemological foundation for more equitable, sustainable and de-developmental urbanism.

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Content Recommendation System Using User Context-aware based Knowledge Filtering in Smart Environments (스마트 환경에서의 사용자 상황인지 기반 지식 필터링을 이용한 콘텐츠 추천 시스템)

  • Lee, Dongwoo;Kim, Ungsoo;Yeom, Keunhyuk
    • The Journal of Korean Institute of Next Generation Computing
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    • v.13 no.2
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    • pp.35-48
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    • 2017
  • There are many and various devices like sensors, displays, smart phone, etc. in smart environment. And contents can be provided by using these devices. Vast amounts of contents are provided to users, but in most environments, there are no regard for user or some simple elements like location and time are regarded. So there's a limit to provide meaningful contents to users. In this paper, I suggest the contents recommendation system that can recommend contents to users by reasoning context of users, devices and contents. The contents recommendation system suggested in this paper recommend the contents by calculating the user preferences using the situation reasoned with the contextual data acquired from various devices and the user profile received from the user directly. To organize this process, the method on how to model ontology with domain knowledge and how to design and develop the contents recommendation system are discussed in this paper. And an application of the contents recommendation system in Centum City, Busan is introduced. Then, the evaluation methods how the contents recommendation system is evaluated are explained. The evaluation result shows that the mean absolute error is 0.8730, which shows the excellent performance of the proposed contents recommendation system.