Zeyong Shan

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One of the important tasks for bridge maintenance is bridge deck crack inspection. Traditionally, a human inspector detects cracks using his/her eyes and finds the location of cracks manually. Thus the accuracy of the inspection result is low due to the subjective nature of human judgement. We propose a system that uses a mobile robot to conduct the(More)
Underdetermined blind source separation (UBSS) is a challenging problem that has recently been formulated in the time-frequency domain. Previous work in the area of UBSS problem focuses on using sparse representations of signals, such as matching pursuit and wavelet packet decomposition, for identifying the sources. However, these methods are in general(More)
Human brain activity can be measured with high temporal resolution by recording the electric potentials on the scalp surface using imaging methods such as the electroencephalogram (EEG). The analysis of EEG data is difficult due to the fact that multiple neurons may be simultaneously active and the potentials from these sources are superimposed on the(More)
Blind source separation aims at recovering the original source signals given only observations of their mixtures. Some common approaches to the source separation problem include second or higher order statistics based methods, and independent component analysis. Most of these methods are developed in the time domain, and thus, inherently assume the(More)
Joint Probabilistic Data Association (JPDA) technique can be applied for locating and tracking the radiated sources in dynamic and ad hoc wireless sensor networks (WSN). Vice versa, the located sensor nodes in the WSN network can help mapping the environment which is covered by their RF communication links. However, the sensed information may be corrupted(More)
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