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Your search keyword '"Li, Xiao-hong"' showing total 1,233 results
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1,233 results on '"Li, Xiao-hong"'

41. Study and Test of the Model of Unsound Kernel Measuring Instrumengt for Distiller Sorghum

Author

LI Xiao-hong, CHU Yi-hong, MAO Yu-zhi, YIN Guan-jun, NIE Ye, and JIAO Fu

Subjects
sorghum, unsound kernel, deep learning, fine-grained image classification, Food processing and manufacture, TP368-456, Nutrition. Foods and food supply, TX341-641
Abstract

In view of the low efficiency and low recognition accuracy of sorghum unsound kerneld etection in wine-making enterprises at the present stage, the sorghum unsound kernel detection instrument with image recognition, which was combined with the existing cereal unsound kernel detection instruments in the market, was developed. A series of research was focus on the image collection, key hardware, machine vision and deep learning. In this study, single feature analysis technology, machine-learning based image classification technology, deep-learning based image classification technology and fine-grained image classification technology were used to classify and identify sorghum images, respectively. By contrast, tensorrt deployment technology was used to deploy fine-grained image classification network into the device. The results showed that the recognition accuracy of the developed rapid sorghum imperfect grain detector was less than 1% of the average error of manual detection. The detection time of 50 g sorghum sample was controlled within 5 minutes. Compared with the traditional manual detection, the detection time was greatly shortened, and the subjective deviation of manual detection was also avoided. It is of great significance for the detection and identification of sorghum imperfection rate in wine-making enterprises.

Published
2023
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50. Fundamentals of the orbit and response for TianQin

Author

Hu, Xin-Chun, Li, Xiao-Hong, Wang, Yan, Feng, Wen-Fan, Zhou, Ming-Yue, Hu, Yi-Ming, Hu, Shou-Cun, Mei, Jian-Wei, and Shao, Cheng-Gang

Subjects
General Relativity and Quantum Cosmology, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

TianQin is a space-based laser interferometric gravitational wave detector aimed at detecting gravitational waves at low frequencies (0.1 mHz -- 1 Hz). It is formed by three identical drag-free spacecrafts in an equilateral triangular constellation orbiting around the Earth. The distance between each pair of spacecrafts is approximately $1.7 \times 10^{5} ~\rm{km}$. The spacecrafts are interconnected by infrared laser beams forming up to three Michelson-type interferometers. The detailed mission design and the study of science objectives for the TianQin project depend crucially on the orbit and the response of the detector. In this paper, we provide the analytic expressions for the coordinates of the orbit for each spacecraft in the heliocentric-ecliptic coordinate system to the leading orders. This enables a sufficiently accurate study of science objectives and data analysis, and serves as a first step to further orbit design and optimization. We calculate the response of a single Michelson detector to plane gravitational waves in arbitrary waveform which is valid in the full range of the sensitive frequencies. It is then used to generate the more realistic sensitivity curve of TianQin. We apply this model on a reference white-dwarf binary as a proof of principle., Comment: 19 pages, 4 figures, to be published in CQG

Published
2018
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