• Title, Summary, Keyword: Library Least-Squares Method

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Application of Pulse Pile-Up Correction Spectrum to the Library Least-Squares Method (펄스 중첩 보정 스펙트럼의 라이브러리 최소자승법에의 이용)

  • Lee, Sang-Hoon
    • Journal of Radiation Protection and Research
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    • v.31 no.4
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    • pp.173-179
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    • 2006
  • The Monte Carlo simulation code CEARPPU has been developed and updated to provide pulse pile-up correction spectra for high counting rate cases. For neutron activation analysis, CEARPPU correction spectra were used in library least-squares method to give better isotopic activity results than the convention library least-squares fitting with uncorrected spectra.

Attitude Estimation of an Aircraft using Image Data (영상데이타를 이용한 항공기 자세각 추정)

  • Park, Sung-Su
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.19 no.4
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    • pp.44-50
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    • 2011
  • This paper presents the algorithm for attitude determination of an aircraft using binary image. An image feature vector, which is invariant to translation, scale and rotation, is constructed to capture the functional relations between the feature vector and the corresponding aircraft attitude. An iterated least squares method is suggested for estimating the attitude of given aircraft using the constructed feature vector library. Simulation results show that the proposed algorithm yields good estimates of aircraft attitude in most viewing range, although a relatively large error occurs in some limited viewing direction.

Estimation of Nitrate Nitrogen Concentration in Liquid Fertilizer Contaminated Areas using Hyperspectral Images (초분광 영상을 이용한 액비 오염지역의 질산성질소 농도 추정)

  • Lim, Eun Sung;Kim, I Seul;Han, Soo Jeong;Lim, Tai Yang;Song, Wonkyong
    • Journal of the Society of Disaster Information
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    • v.16 no.3
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    • pp.542-549
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    • 2020
  • Purpose: As nitrate nitrogen produced during fermentation of liquid fertilizer is a pollution indicator of water, in this study, four research areas where liquid fertilizer was sprayed were selected, and a model was designed to estimate the concentration of nitrate nitrogen pollution. Method: Prior to shooting on site, a spectrum library was constructed by dividing the ratio of liquid fertilizer into 5 groups: 0%, 25%, 50%, 75%, and 100%. PLSR (Partial least squares regression) method was applied to hyperspectral images acquired in the study area based on the aspect of spectrum. Result: The behavior of nitrate nitrogen was confirmed by 1st and 2nd differentiation of the spectrum of the constructed liquid fertilizer. PLSR concentration estimation modeling was implemented using images from field experiments and compared with actual concentration of nitrate nitrogen. Conclusion: When comparing the PLSR concentration estimation model with the actual concentration of nitrate nitrogen, it was measured that the detection is possible in high concentration areas where the concentration of nitrate nitrogen is 70mg/kg or more.