Earticle

초록

영어

In this paper,we made a research for soybean straw hemicellulose rapid detection by establishing a quantitative analysis model based on near-infrared spectroscopy. At first,146 samples were collected from varieties of soybean straws are gathered in different areas of Heilongjiang province, then made chemical testing of components and spectral scanning to soybean straw, the 140 samples were classified to two groups, in which 100 samples were chosen as calibration set and the remaining 40 samples were chosen as verification set. Wavelet transform was used to deal with the noise spectrum, selected DBN wavelet, Haar wavelet and Symlet wavelet in different layers under penalty threshold, Bridge-massart threshold, and default global threshold for spectral signal decomposition and reconstruction, compared with other traditional noise reduction methods,Symlet2-2 layer decomposition wavelet basis for hemicellulose spectral processing possessed better effect with the determination coefficient of validation set rising from 0.462524 to 0.6314158 after processing.

목차

Abstract
 1. Introduction
 2. Theory
  2.1 Principle of Wavelet De-noising
  2.2 Wavelet De-noising Threshold
  2.3 Determination of Threshold Method in the Wavelet De-noising
 3. Material and Methods
  3.1 Collection and Preparation of Samples
  3.2 Acquisition of Spectra
 4. Results and Discussion
  4.1 DBN Series Wavelet
  4.2 Haar Wavelet Transform
  4.3 Symlets Wavelet Transform
 5. Conclusions
 References

키워드

저자

• Weizheng Shen [ School of Electronic Engineering and Information Northeast Agricultural University, Harbin, China ]
• Nan Ji [ School of Electronic Engineering and Information Northeast Agricultural University, Harbin, China ]
• Haoran Du [ School of Electronic Engineering and Information Northeast Agricultural University, Harbin, China ]
• Hongbin Li [ School of Electronic Engineering and Information Northeast Agricultural University, Harbin, China ]
• Sida Ma [ School of Electronic Engineering and Information Northeast Agricultural University, Harbin, China ]
• Qingming Kong [ School of Electronic Engineering and Information Northeast Agricultural University, Harbin, China ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605