• Title/Summary/Keyword: VLS system design

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Engineering Applications of Jet Impingement Associated with Vertical Launching System Design

  • Hong, Seung-Kyu;Lee, Kwang-Seop
    • International Journal of Aeronautical and Space Sciences
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    • v.3 no.2
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    • pp.67-75
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    • 2002
  • In the course of missile system design, jet plume impingement is encountered in designing airframe as well as launchers, requiring careful investigation of its effect on the system. In the present paper, recent works on such topic are presented to demonstrate usefulness of CFD results in helping design the hardware. The jet impinging flow structure exhibits such complex nature as shock shell, plate shock and Mach disk depending on the flow parameters. The main parameters are the ratio of the jet pressure to the ambient pressure and the distance between the nozzle and the wall. In the current application, the nozzle contour and the pressure ratio are held fixed, but the jet impinging distance is varied to illuminate the characteristics of the jet plume with the distance. The same methodology is then applied to a complex vertical launcher system (VLS), capturing its flow structure and major design parameter. These applications involving jets are thus hoped to demonstrate the usefulness and value of CFD in designing a complex structure in the real engineering environment.

A Hardware Design of Feature Detector for Realtime Processing of SIFT(Scale Invariant Feature Transform) Algorithm in Embedded Systems (임베디드 환경에서 SIFT 알고리즘의 실시간 처리를 위한 특징점 검출기의 하드웨어 구현)

  • Park, Chan-Il;Lee, Su-Hyun;Jeong, Yong-Jin
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.3
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    • pp.86-95
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    • 2009
  • SIFT is an algorithm to extract vectors at pixels around keypoints, in which the pixel colors are very different from neighbors, such as vertices and edges of an object. The SIFT algorithm is being actively researched for various image processing applications including 3D image reconstructions and intelligent vision system for robots. In this paper, we implement a hardware to sift feature detection algorithm for real time processing in embedded systems. We estimate that the hardware implementation give a performance 25ms of $1,280{\times}960$ image and 5ms of $640{\times}480$ image at 100MHz. And the implemented hardware consumes 45,792 LUTs(85%) with Synplify 8.li synthesis tool.