• Title/Summary/Keyword: 지능형 반사경

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A Study on Management Functions of Intelligent Reflectors Environment (지능형 반사경의 관리 기능 연구)

  • Kang-Hyun Nam
    • The Journal of the Korea institute of electronic communication sciences
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    • v.18 no.3
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    • pp.433-440
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    • 2023
  • When the reflector is hit by a vehicle or returned by a storm, an event is generated by the impact sensor and a trigger is operated. The trigger processing algorithm of this paper compares the X, Y, and Z values of the gyro sensor with the registered values and proposes to drive them to the original values by the operation of the 3-axis driving motor. And by recognizing the vehicle license plate, if the vehicle is stolen or a social problem, information is provided to the police operation network. When the reflector is stolen or moved, it has a registered GPS value, so it operates the theft monitoring function to process it.

GRINDING OPTIMIZATION MODEL FOR NANOMETRIC SURFACE ROUGHNESS FOR ASPHERIC ASTRONOMICAL OPTICAL SURFACES (천체망원경용 비구면 반사경 표면조도 향상을 위한 최적연삭변수 수치결정모델)

  • Han, Jeong-Yeol;Kim, Sug-Whan;Kim, Geon-Hee;Han, In-Woo;Yang, Sun-Choel
    • Journal of Astronomy and Space Sciences
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    • v.22 no.1
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    • pp.13-20
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    • 2005
  • Bound abrasive grinding is used for the initial fabrication phase of the precision aspheric mirrors for both space and ground based astronomical telescopes. We developed a new grinding optimization process that determines the input grinding variables for the target surface roughness, checks the grinding error magnitude in resulting surface roughnesses, and minimizes the required machining time. Using the machining data collected from the previous grinding runs and subsequently fed into the multivariable regression engine, the process has the evolving controllability that suggests the optimum set of grinding variables for each target surface roughness. The process model was then used for ten grinding experiments that resulted in the grinding accuracy of $=-0.906{\pm}3.38(\sigma)\;nm(Ra)$ for the target surface roughnesses of Zerodur substrate ranging from 96.1 nm (Ra) to 65.0 nm (Ra) The results imply that the quantitative process optimization technique developed in this study minimizes the machining time and offers the nanometric surface roughness controllability superior to the traditional, qualitative, craftsman based grinding process for the astronomical optical surfaces.