• Title/Summary/Keyword: 본넷

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Structural Design of Light Weight Natural Fiber Composites for Next Generation Automobile Bonnet (차세대 자동차 본넷용 친환경 경량화 자연섬유 복합재 구조 설계)

  • Park, Kilsu;Kong, Changduk;Park, Hyunbum
    • Composites Research
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    • v.28 no.2
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    • pp.46-51
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    • 2015
  • In this study, structural design and analysis of the automobile bonnet is performed. The flax/vinly ester composite material is applied for structural design. The Vacuum Assisted Resin Transfer Molding-Light (VARTML) manufacturing method is adopted for manufacturing the flax fiber composite bonnet. The VARTML is a manufacturing process that the resin is injected into the fly layered-up fibers enclosed by a rigid mold tool under vacuum. A series of flax/vinyl ester composite panels are manufactured, and several kinds of specimens cut out from the panels are tested to obtain mechanical performance data. Based on this, structural design of the automobile bonnet is performed.

남자 헤드기어(headgear) 제작에 관한 고찰 -본넷(bonnet)을 중심으로-

  • 문윤경;김경희
    • Proceedings of the Costume Culture Conference
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    • 2004.04a
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    • pp.118-120
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    • 2004
  • 복식은 인체를 바탕으로 하여 착용한 사람의 사상이나 감정을 대변하고 그 시대의 문화적인 현상을 잘 표현하고 있으며 헤어스타일(hairstyle) 과 헤드기어(headgear) 또한 복식의 외관적 특징을 나타내는데 중요한 역할을 한다. 지금까지 서양복식사에서 여자 헤어스타일이나 헤드드레스(headdress)에 관한 연구는 많이 보고되어 왔지만 여자 헤드드레스의 화려함과 다양함에 못지 않은 남자 헤드기어에 대한 연구는 많지 않았다. (중략)

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A Study on the Restoration of Men's Headgear - Focusing on Bonnets - (남자 헤드기어(Headgear) 제작에 관한 고찰 - 본넷(Bonnet)을 중심으로 -)

  • Mun, Yun-Kyeong;Kim, Kyung-Hee
    • The Research Journal of the Costume Culture
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    • v.14 no.1
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    • pp.16-26
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    • 2006
  • There have been in the history of western costume a few studies on men's headgear that cannot be the second to the women's headdress in terms of the gorgeousness and variety whereas the studies on women's hair styles and head dresses have frequently been carried out. Such varieties of the headgear in terms of forms and ornaments have still been found with various types. Thus, the study on the change in designs and details of headgear and the recreation of them may contribute to the utilization of the fashion in current vogue and the guidance of the creation for the new design. The aim of this study is to find such changes in the designs and the methods for the production of bonnets which have played important roles to emphasize external characteristics of costumes. As a result, this study may provide key materials for the development of new designs. As with the previous studies on the women's headdress and men's hat, the methodology of this study is to recreate bonnets based on the literature review and the portrait analysis. this study will cover the eras from the late fifteenth century to the mid sixteenth century when bonnets began to be produced. First, the characteristics of hair styles and bonnets are to be reviewed for the selection of bonnets to be recreated. Next step is to make a literature review on the form, materials, colors and ornaments used for bonnets. Finally, the patterns of bonnets is to be illustrated for the reproduction of selected bonnets. Materials to be used in this study for such a reproduction are velvets, silks and wools as presented in the literatures and ornaments to be used are similar to those captured in photos.

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A Vehicle Detection System Robust to Environmental Changes for Preventing Crime (환경 변화에 강인한 방범용 차량 검지 시스템)

  • Bae, Sung-Ho;Hong, Jun-Eui
    • Journal of Korea Multimedia Society
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    • v.13 no.7
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    • pp.983-990
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    • 2010
  • The image processing technique is very sensitive to the variation of external environment, so it tends to lose a lot of accuracy when the external environment changes rapidly. In this paper, we propose a vehicle detecting and tracking system for crime prevention suitable for an external environments with various changes using the image processing technique. Because the vehicle camera detector for crime prevention extracts and tracks the vehicle within one lane, it is important to classify a characteristic region rather than the contour of a vehicle. The proposed system detects the entrance of the vehicle using optical flow and tracks the vehicle by classifying the headlights, the bonnet, the front-window and the roof area of the vehicle. Experimental results show that the proposed method is robust to the environmental changes such as type, speed and time of a vehicle.