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Akademický článek

Stationary Wavelet-based Two-directional Two-dimensional Principal Component Analysis for EMG Signal Classification

Publikováno v: Measurement Science Review, Vol 17, Iss 3, Pp 117-124 (2017)

Discrete wavelet transform (WT) followed by principal component analysis (PCA) has been a powerful approach for the analysis of biomedical signals. Wavelet coefficients at various scales and channels were usually transformed into a one-dimensional ar

Externí odkaz: https://doaj.org/article/6197c68d5b3940e3b221980a981ce396

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Improved security bounds against the Trojan-Horse attack in decoy-state quantum key distribution

Autor: Li, Zijian, Zheng, Bingbing, Zhang, Chengxian, Zhang, Zhenrong, Xie, Hong-Bo, Wei, Kejin

In a quantum Trojan-horse attack (THA), eavesdroppers learn encoded information by injecting bright light into encoded or decoded devices of quantum key distribution (QKD) systems. These attacks severely compromise the security of non-isolated system

Externí odkaz: http://arxiv.org/abs/2312.15399

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Akademický článek

Effect of Zr Addition on Microstructure and Corrosion Properties of AlFeCrCoCuZrx High-entropy Alloys

Autor: XIE Hong-bo, LIU Gui-zhong, GUO Jing-jie

Publikováno v: Cailiao gongcheng, Vol 44, Iss 6, Pp 44-49 (2016)

The microstructure, hardness and the corrosion resistance in 3.5% NaCl solution of the as-cast AlFeCrCoCuZrx(x=0, 0.5, 1) high-entropy alloys were investigated. The results show that typically cast dendrite structure is formed in the alloys. With the

Externí odkaz: https://doaj.org/article/2ce226ab0e10442b999d0ab95247f3c5

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A variational autoencoder-based nonnegative matrix factorisation model for deep dictionary learning

Autor: Xie, Hong-Bo, Li, Caoyuan, Wang, Shuliang, Da Xu, Richard Yi, Mengersen, Kerrie

Construction of dictionaries using nonnegative matrix factorisation (NMF) has extensive applications in signal processing and machine learning. With the advances in deep learning, training compact and robust dictionaries using deep neural networks, i

Externí odkaz: http://arxiv.org/abs/2301.07272

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clusterBMA: Bayesian model averaging for clustering

Autor: Forbes, Owen, Santos-Fernandez, Edgar, Wu, Paul Pao-Yen, Xie, Hong-Bo, Schwenn, Paul E., Lagopoulos, Jim, Mills, Lia, Sacks, Dashiell D., Hermens, Daniel F., Mengersen, Kerrie

Various methods have been developed to combine inference across multiple sets of results for unsupervised clustering, within the ensemble clustering literature. The approach of reporting results from one `best' model out of several candidate clusteri

Externí odkaz: http://arxiv.org/abs/2209.04117

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A 3.8 ps RMS time synchronization implemented in a 20 nm FPGA

Autor: Xie, Hong-Bo, Li, Yang, Shen, Qi, Liao, Sheng-Kai, Peng, Cheng-Zhi

A 3.8ps root mean square (RMS) time synchronization implemented in a 20nm fabrication process ultrascale kintex Field Programmable Gate Array (FPGA) is presented. The multichannel high-speed serial transceivers (e.g. GTH) play a key role in a wide ra

Externí odkaz: http://arxiv.org/abs/1806.03400

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