Hua-Mei Xin

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Internet of things (IoT) has become an emerging new technology. Things having identities and virtual personalities use intelligent interfaces to connect and communicate within social environmental and user contexts. This paper first studied the mechanisms of some existing routing protocols such as AODV, DSR and OLSR, which is widely used in Ad Hoc networks.(More)
The analysis of a large number of two-dimensional gel electrophoresis (2-DE) images requires developing automatic methods. In such analyses, spot matching plays a fundamental role, in particular for the identification of proteins. We describe a simple and accurate method which allows to automatically and accurately match spots in 2-DE images. The method(More)
Modulation identification for communication signals is an important topic in the intercepted signal processing. However, early researches mainly focused on common modulation. Aiming at the statistical feature of unitary space-time modulation (USTM), we propose the suitable algorithms for high order joint moment and high order joint cumulant, and employ the(More)
Two-dimensional gel electrophoresis (2DGE) images are extremely useful support for proteins analysis in the field of proteomics. The registration of 2DGE images is an important element for protein identification in biological research while it is a complex and difficult problem. This paper proposes a new non-linear registration approach for 2DGE images,(More)
We propose a multiary unitary space-time signal-based turbo coding (UST-SB-TC) and decoding scheme for multiple-input multiple-output (MIMO) wireless communication systems. UST-SB-TC can make full use of the characteristics of rapidly fading channels in decoding and hence can give a better performance compared with bit-wise processing with the same code(More)
Spot matching is considered as one of key elements in protein identification based on 2-DE while it is a difficult problem. We propose a novel simple and accurate method for matching spots in 2-DE images. The method, inspired from the principle of attraction, is based on the simultaneous exploitation of multiple information such as spot distance, spot(More)
Two-dimensional gel electrophoresis (2DGE) images play an important role in the analysis of proteins in proteomics. The registration of 2DGE images is considered as one of key elements in protein identification while it is a difficult problem. This paper investigates the role of spot pattern information in 2DGE image registration by considering two(More)
Denoising is a fundamental stage of two-dimensional gel electrophoresis (2DGE) images analysis, which strongly influences spot detection, spot matching and other pixel-based methods. It is critical to effective noise suppression. This paper proposed a new method based on the Non-Local-means (NLmeans) algorithm, which is simple and can protect the structure(More)
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