Zhenghua Ma

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In this paper, we present an automatic artifact removal method by combining independent component analysis (ICA) and wavelet denoising to remove artifacts from attention deficit hyperactivity disorder (ADHD) electroencephalograms (EEGs). First, the ICA algorithm is used to analyze EEG signals to get the independent components (ICs); then, the wavelet method(More)
Exploring effective connectivity between neuronal assemblies at different temporal and spatial scales is an important issue in human brain research from the perspective of pervasive computing. At the same time, network motifs play roles in network classification and analysis of structural network properties. This paper develops a method of analyzing the(More)
The recycling of livestock manure in cropping systems is considered to enhance soil fertility and crop productivity. However, there have been no systematic long-term studies of the effects of manure application on soil and crop macro- and micro-nutrients, heavy metals, and crop yields in China, despite their great importance for sustainable crop production(More)
This paper investigates the stability of network control systems, regarded as a class of large-scale hybrid systems, for ubiquitous computing environment. The problem of robust exponential stabilization for the hybrid systems is addressed, which are composed of impulsive subsystems with time-delay and parameter uncertainties. Using the Lyapunov–Krasovskii(More)