Feiyu Lian

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Terahertz (THz) spectroscopy and multivariate data analysis were explored to discriminate eight wheat varieties. The absorption spectra were measured using THz time-domain spectroscopy from 0.2 to 2.0 THz. Using partial least squares (PLS), a regression model for discriminating wheat varieties was developed. The coefficient of correlation in cross(More)
Aflatoxins contaminate and colonize agricultural products, such as grain, and thereby potentially cause human liver carcinoma. Detection via conventional methods has proven to be time-consuming and complex. In this paper, the terahertz (THz) spectra of aflatoxin B1 in acetonitrile solutions with concentration ranges of 1-50μg/ml and 1-50μg/l are obtained(More)
In this paper, we propose a feasible tool that uses a terahertz (THz) imaging system for identifying wheat grains at different stages of germination. The THz spectra of the main changed components of wheat grains, maltose and starch, which were obtained by THz time spectroscopy, were distinctly different. Used for original data compression and feature(More)
The terahertz (THz) spectra in the range of 0.2-1.6 THz (6.6-52.8 cm<sup>-1</sup>) of wheat grains with various degrees of deterioration (normal, worm-eaten, moldy, and sprouting wheat grains) were investigated by terahertz time domain spectroscopy. Principal component analysis (PCA) was employed to extract feature data according to the cumulative(More)
The amount of moisture in stored grain is an important factor which affects food safety. Therefore, a timely and accurate detection of the moisture content in stored grain is of great importance. Electromagnetic wave has a strong trait of penetrating, which is able to detect the moisture content of grain inside the heap in the case of non-destructive. This(More)
Quantitative analysis of component mixtures is an important application of terahertz time-domain spectroscopy (THz-TDS) and has attracted broad interest in recent research. Although the accuracy of quantitative analysis using THz-TDS is affected by a host of factors, wavelength selection from the sample's THz absorption spectrum is the most crucial(More)
The goal of this paper is to find a general model of information fusion network that may prove useful in adapting information fusion to NCW (Network centric warfare) and coordinated development. Based on the OSI reference model, our study presents a layered model for information fusion that is integrated with a networkpsilas function; likewise, we describe(More)
This paper depicts the uncertainty of feature information by using mutual information entrop based on the game theory. It also exposes the underlying nature of the decision-making process that is founded on conflict and cooperation through the construction of a payment function. Finally, the paper seeks to provide a balance solution for this strategy by the(More)
An effective prediction for stored grain pests contributes significantly to pest control at the right time, and thereby reduces control cost and environmental pollution. In this paper, aiming at the deficiencies of the existing prediction models, a new prediction method for grain pests based on Cellular Automaton (CA) combining with environmental factors(More)
By combining a non-contact photoelectric speed sensor and a Single Chip Microcomputer (SCM) with Bluetooth technology, the authors were able to design a precise vehicle speed measurement system. Because signals collected using a comb-shaped photoelectric sensor varied greatly in amplitude and contained high and low random frequency interferences to the(More)