• Title/Summary/Keyword: Marae

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A Study on the Plan Type of Anchae of Folk Houses in Jeoun-Nam Province (전남지방 민가의 안채 평면형 연구)

  • Kim, Ji-Min
    • Journal of architectural history
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    • v.14 no.4 s.44
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    • pp.197-211
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    • 2005
  • The purpose of this study is to find out the plan type of traditional folk housing in Jeoun-Nam Province. The building time of these houses is mainly from early 19C to early 20C and about 1,000 houses have been investigated. The conclusion of this research is 1. Small house is composed of kitchen, one or two rooms and Marae(the place of storage and sacrificial rite). Big house has one more room and one more storage in comparison with the small house. Marae and Jeoungjibang(a room which is in front of kitchen) are characteristic rooms of folk house in Jeoun-Nam Province. 2. The plan type varies in Jeoun-Nam Province. '-'type is a main type of layout and it is arranged a kitchen, a big room, a Marae and a small room in order. In the big house, jeoungjibang(the third room) is added. 3. In the southwestern Island area, no room is arranged beside Marae. Marae has characteristic confucian order because it is the place of sacrificial rite. Therefore there is a great difference in comparison with other area. 4. In the mountain area such as Gurae, there are some houses which have two rooms arranged up and down in one side; that is, upside is Marae and downside is small room. This type is called Kyump Jip.

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Method of Tunnel Incidents Detection Using Background Image (배경영상을 이용한 터널 유고 검지 방법)

  • Jeong, Sung-Hwan;Ju, Young-Ho;Lee, Jong-Tae;Lee, Joon-Whoan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.12
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    • pp.6089-6097
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    • 2012
  • This study suggested a method of detecting an incident inside tunnel by using camera that is installed within the tunnel. As for the proposed incident detection method, a static object, travel except vehicles, smoke, and contra-flow were detected by extracting the moving object through using the real-time background image differencing after receiving image from the camera, which is installed inside the tunnel. To detect the moving object within the tunnel, the positive background image was created by using the moving information of the object. The incident detection method was developed, which is strong in a change of lighting that occurs within the tunnel, and in influence of the external lighting that occurs in the entrance and exit of the tunnel. To examine the efficiency of the suggested method, the experimental images were acquired from Marae tunnel and Expo tunnel in Yeosu of Jeonnam and from Unam tunnel in Imsil of Jeonbuk. Number of images, which were used in experiment, included 20 cases for static object, 20 cases for travel except vehicles, 4 cases for smoke, and 10 cases for contra-flow. As for the detection rate, all of the static object, the travel except vehicles, and the contra-flow were detected in the experimental image. In case of smoke, 3 cases were detected. Thus, excellent performance could be confirmed. The proposed method is now under operation in Marae tunnel and Expo tunnel in Yeosu of Jeonnam and in Unam tunnel in Imsil of Jeonbuk. To examine accurate efficiency, the evaluation of performance is considered to be likely to be needed after acquiring the incident videos, which actually occur within tunnel.