• Title/Summary/Keyword: Vidio Data

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A Study on the Inspection of Tile Delamination Using Infrared-Ray Method. (열적외선 장비를 활용한 타일박리 조사에 관한 연구)

  • Oh, Kwang-Chin;Choi, Jae-Ho
    • Proceedings of the Korea Concrete Institute Conference
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    • 2005.05a
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    • pp.511-514
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    • 2005
  • Recently, to obtain the reliable data on the state of the structure, various non-destructive techniques are available. The infrared thermography technique is used in detection of cracks, flaws of concrete structures and buildings. In this paper the infrared thermography technique using the difference of surface temperature was studied. Also this paper is case study that the inspection of building's tile using infrared thermal video.

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A Study of Behavioral Characteristic of Elders during Showering (고령자의 샤워 시 행동 특성 분석)

  • Park, Kyung-Ryul;Jeong, Woo-Won;Rhee, Kye-Han;Chun, Keyoung-Jin
    • Journal of the Korean Society for Precision Engineering
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    • v.24 no.7 s.196
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    • pp.120-125
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    • 2007
  • Analysis of elders' behavioral characteristic during showering provides important fundamental data when developing an automatic showering system. We recorded showering behavior of 37 elders' at the front, back, left and right view using four CCTV cameras. The photographic data were analyzed by counting the frequencies of body scrub and identifying zones where hands could reach. And we measured their body sizes, and conducted questionnaire of showering for 302 peoples. Analysis was done according to the analysis criteria established. The human body was divided into 14 zones from a body, and the numbers of body scrub for each zone were counted. The average total numbers of body scrub were 170.8 excluding the head, the face and the neck. The average numbers of body scrub with right hand were 70.2, left hand were 88.2, and both hands were 81.8. The percentages of body scrub frequencies were 16.3% (breast), 12.2%(crotch), 8.8% (abdomen), 7.5% (waist), 8.8% (shoulder), 7% (hips), 0.4% (back), 15.2% (arm), and 23.9% (leg). Elders scrubbed the breast, crotch and abdomen more frequently than the back and hips. According to the video analysis and questionnaire results, the distribution of shower heads (or nozzles) at the front side should be arranged at the ratio of 40% of the trunk(breast, shoulders, abdomen), 20% of the thighs, the calves, and the crotch, respectively. The distribution of shower heads (or nozzles) of the back side were arranged at the ratio of 20% of the waist and the arms, 20% of the back, the thighs, the calves, and the hip, respectively.

Similar sub-Trajectory Retrieval Technique based on Grid for Video Data (비디오 데이타를 위한 그리드 기반의 유사 부분 궤적 검색 기법)

  • Lee, Ki-Young;Lim, Myung-Jae;Kim, Kyu-Ho;Kim, Joung-Joon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.5
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    • pp.183-189
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    • 2009
  • Recently, PCS, PDA and mobile devices, such as the proliferation of spread, GPS (Global Positioning System) the use of, the rapid development of wireless network and a regular user even images, audio, video, multimedia data, such as increased use is for. In particular, video data among multimedia data, unlike the moving object, text or image data that contains information about the movements and changes in the space of time, depending on the kinds of changes that have sigongganjeok attributes. Spatial location of objects on the flow of time, changing according to the moving object (Moving Object) of the continuous movement trajectory of the meeting is called, from the user from the database that contains a given query trajectory and data trajectory similar to the finding of similar trajectory Search (Similar Sub-trajectory Retrieval) is called. To search for the trajectory, and these variations, and given the similar trajectory of the user query (Tolerance) in the search for a similar trajectory to approximate data matching (Approximate Matching) should be available. In addition, a large multimedia data from the database that you only want to be able to find a faster time-effective ways to search different from the existing research is required. To this end, in this paper effectively divided into a grid to search for the trajectory to the trajectory of moving objects, similar to the effective support of the search trajectory offers a new grid-based search techniques.

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