Earticle

초록

영어

Orthogonal signal correction (OSC)and partial least squares(PLS)were used during the pretreatment of straw to reduce environmental noise and prediction models were established for near-infrared detection of straw cellulose. Tests were run with soybean stalk as the object of study. Test results indicated that compared to a model established using a traditional denoising method, the determination coefficients for calibration set models established by second derivative+smoothing and OSC were 0.9318595 and 0.9328905 respectively while the root mean square error for calibration (RMSEC) were 0.6762902 and 0.6696454. For an OSC-PLS regression model with a factor of 8, the relative standard deviation of a prediction model was less than 5%. In the OSC denoising process, the root mean square error fluctuated with the increasing number of PLS factors. Compared to the second derivative-smoothing denoising, OSC-PLS denoising removed the non-correlated variation from spectra and improved interpretation ability of variation while the analysis and convergence were expedited. It was therefore concluded that OSC-PLS denoising could be used to realize the rapid and accurate near-infrared detection of straw cellulose.

목차

Abstract
 1. Introduction
 2. Theory
 3. Material and Methods
  3.1 Collection and Preparation of Samples
  3.2 Acquisition of Spectra
 4. Results and Discussion
  4.1 S-G Convolution Smoothing Algorithm
  4.2 Treatments of Derivative
  4.3 Orthogonal Signal Correction
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Qingming Kong [ School of Electronic Engineering and Information Northeast Agricultural University, China ]
• Zhongbin Su [ School of Electronic Engineering and Information Northeast Agricultural University, China ]
• Weizheng Shen [ School of Electronic Engineering and Information Northeast Agricultural University, China ]
• Mingming Han [ School of Electronic Engineering and Information Northeast Agricultural University, China ]
• Bohan Li [ School of Electronic Engineering and Information Northeast Agricultural University, China ]
• Xudong Wang [ School of Electronic Engineering and Information Northeast Agricultural University, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605