• Title/Summary/Keyword: 상가 및 쇼핑센터

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Diagnosis Program Development for Shopping District and Shopping Mall (상가 및 쇼핑센터의 범죄예방진단 프로그램 개발)

  • Lee, Sang-Won
    • The Journal of the Korea Contents Association
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    • v.10 no.8
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    • pp.317-326
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    • 2010
  • Recently, in contemporary society, because of the international economic crisis and the increase of unemployment, there are dangerous crime elements that threaten the safety of citizen. The Safety from the crime is important as much as existence of need. Therefore, in order to make the safety of community, the government needs to make the best effort. In everyday life, crime is the fear of the target. Therefore, if the government can not solve the crime problem, the quality of citizen's life can not improve. In order to safety of community, this study is the one of the crime prevention diagnosis about shopping district and shopping mall. Also, this study can apply to the policy. If this study can apply to the policy, the safety of citizen's life will be protecting. The content of this study consist of introduction in chapter 1, theoretical consideration in chapter 2, foreign crime prevention diagnosis evaluation in chapter 3, crime prevention diagnosis in chapter 4 and conclusion in chapter 5.

Design of intelligent fire detection / emergency based on wireless sensor network (무선 센서 네트워크 기반 기능형 화재 감지/경고 시스템 설계)

  • Yuk, Ui-Su;Kim, Seong-Ho
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2007.04a
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    • pp.367-371
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    • 2007
  • 최근 여러 지역에서 발생되는 지하철 참사 및 대형화재 또는 지하철 역사, 대형 지하상가, 백화점, 지하공간, 대형쇼핑센터, 숙박업소, 공공건물등 대형 다중이용시설 등에서 발생될 수 있는 예측 불가능한 인재, 천재지변에 안전하게 대피하기 위한 수단으로 비상등 및 여러 감지기들이 소방법 개정으로 의무설치 하고 있다. 비상등 및 감지기들은 비상시 위험 감지 및 경고 전파를 위해 사용되는데 방음벽이나 격벽, 경고 거리의 제한으로 인해 경고 전달의 어려움이 있다. 본 논문에서는 무선 데이터 전송기능 및 경고등, 음성전파 기능을 갖는 무선 지능형 화재 감지/경고시스템을 설계하고자 한다.

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Design of intelligent fire detection / emergency based on wireless sensor network (무선 센서 네트워크 기반 지능형 화재 감지/경고 시스템 설계)

  • Kim, Sung-Ho;Youk, Yui-Su
    • Journal of the Korean Institute of Intelligent Systems
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    • v.17 no.3
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    • pp.310-315
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    • 2007
  • When a mail was given to users, each user's response could be different according to his or her preference. This paper presents a solution for this situation by constructing a u!;or preferred ontology for anti-spam systems. To define an ontology for describing user behaviors, we applied associative classification mining to study preference information of users and their responses to emails. Generated classification rules can be represented in a formal ontology language. A user preferred ontology can explain why mail is decided to be spam or non-spam in a meaningful way. We also suggest a nor rule optimization procedure inspired from logic synthesis to improve comprehensibility and exclude redundant rules.

Schematic Regeneration Strategy of Old Downtown, Myeongdong, in Cheonan (천안 구도심 명동지역 도시재생 전략수립 연구)

  • Sung, Min-Ho;Lee, Heewon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.5
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    • pp.3231-3239
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    • 2014
  • After 1970-80's rapid economic and urban development, nowadays the old downtown suffers from the deterioration of physical environment, outflow of its function and cavitation of population. And this phenomenon makes urban regeneration as a new paradigm in urban development. This is the case of Myeongdong area (Jungang-dong, Monsung-dong), old downtown of Cheonan around rail station, in the same way. City government has tried many regeneration/ redevelopment projects on this area but all failed due to lack of feasibility. This study intends to suggest new viable strategic regeneration scheme of this area through research and analysis of TOD development, existing condition and problems. As a result, the area needs to be considered as a node that links bus terminal complex and central market place with walkable street. For regeneration of this area, a strategic development scheme of this area is suggested deploying private capital invested rail station, underground shopping mall, transfer center, culture complex and nature park with Myeongdong street mall.