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Your search keyword '"Shi, Hongxiao"' showing total 47 results
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47 results on '"Shi, Hongxiao"'

8. Combatting global grassland degradation

Author

Bardgett, Richard D., Bullock, James M., Lavorel, Sandra, Manning, Peter, Schaffner, Urs, Ostle, Nicholas, Chomel, Mathilde, Durigan, Giselda, L. Fry, Ellen, Johnson, David, Lavallee, Jocelyn M., Le Provost, Gaëtane, Luo, Shan, Png, Kenny, Sankaran, Mahesh, Hou, Xiangyang, Zhou, Huakun, Ma, Li, Ren, Weibo, Li, Xiliang, Ding, Yong, Li, Yuanheng, and Shi, Hongxiao

Published
2021
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42. Shufflenetv2UNet: An improved neural network model for grassland sample coverage extraction.

Author

Liu, Yunyu, Liu, Tonghai, Wang, Fanzhen, Shi, Hongxiao, Wang, Hai, Hasi, Bagen, Gao, Fangyu, Liu, Changqin, and Li, Hua

Subjects
*ARTIFICIAL neural networks, *ENVIRONMENTAL monitoring, *DEEP learning, *GRASSLANDS, *SCALABILITY
Abstract

Accurate extraction of grassland sample coverage is crucial for regional ecological environment monitoring. Due to the strong feature learning capability, high flexibility, and scalability of deep learning methods, they have great potential in grassland sample extraction modelling. However, we still lack a model that can achieve both lightweight structure and effective performance for small object segmentation to considering the small target characteristics of grassland vegetation and the requirements for model deployment in later stages. Here, we combined the UNet model, which performs well in small target segmentation, with the lightweight network Shufflenetv2 model, proposing an improved UNet neural network, Shufflenetv2UNet, for grassland sample coverage extraction. The core of Shufflenetv2UNet is the removal of maximum pooling and double‐layer convolution modules from downsampling in the UNet neural network. In addition, the Inverted Residual Block structure module from Shufflenetv2 was added to achieve a lightweight model and improved extraction accuracy. The Shufflenetv2UNet achieves an accuracy of 98.23%, with a parameter size of 50.74 M, and a model inference speed of 0.004 s. Compared to existing extraction methods, this model has advantages in prediction accuracy, parameter size, and model inference speed. Moreover, Shufflenetv2UNet achieved different types of grassland sample coverage extractions, with good robustness, generalization, and universality, enabling investigators to quickly and accurately obtain grassland sample coverage. This allows more dynamic and accurate ground measurement data for regional grassland environmental monitoring. [ABSTRACT FROM AUTHOR]

Published
2024
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43. Probing the structure and electronic properties of beryllium doped boron clusters: A planar BeB16− cluster motif for metallo-borophene.

Author

Kang, Dongliang, Sun, Weiguo, Shi, Hongxiao, Lu, Cheng, Kuang, Xiaoyu, Chen, Bole, Xia, Xinxin, and Maroulis, George

Subjects
BERYLLIUM, METALLOBORANES, MOLECULAR structure, ANISOTROPY, NANOSTRUCTURED materials
Abstract

Beryllium-doped boron clusters display essential similarities to borophene (boron sheet) with a molecular structure characterized by remarkable properties, such as anisotropy, metallicity and high conductivity. Here we have determined low-energy structures of BeBn0/− (n = 10–20) clusters by utilizing CALYPSO searching program and DFT optimization. The results indicated that most ground states of clusters prefer plane or quasi-plane structures by doped Be atom. A novel unexpected fascinating planar BeB16− cluster with C2v symmetry is uncovered which possesses robust relative stability. Furthermore, planar BeB16− offers a possibility to construct metallo-borophene nano-materials. Molecular orbital and chemical bonding analysis reveal the peculiarities of BeB16− cluster brings forth the aromaticity and the strong interaction of B-B σ-bonds in boron network. [ABSTRACT FROM AUTHOR]

Published
2019
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47. Stable multi-frequency generator based on phase-locked optical frequency combs

Author

Zhang, Chao, Sun, Dongning, Xie, Weilin, Xia, Zongyang, Wang, Siwei, Shi, Hongxiao, Tong, Yitian, Dong, Yi, and Hu, Weisheng

Abstract

A photonic generation of multi-frequency source based on the heterodyne of two phase-locked optical frequency combs (OFCs) is proposed and demonstrated. By applying an optical phase-locked loop, the phase noise induced by optical links is decreased by approximately 70, 66, and 35 dB at 0.01, 0.1, and 1.0 Hz offset frequencies, respectively. The proposed scheme provides 8 radio frequency signals, the frequencies of which span from 540 to 4040 MHz, with a 500-MHz interval. The number of generated signals can be readily scaled by using OFCs with broader bands, whereas the frequencies can be scaled by tuning the repetition rates of OFCs.

Published
2014

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