Yinghui Zhao

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—Wireless sensor networks (WSNs) are emerging as essential and popular ways of providing pervasive computing environments for various applications. In all these environments energy constraint is the most critical problem that must be considered. Clustering is introduced to WSNs because of its network scalability, energy-saving attributes and network(More)
—This paper uses the canonical correlation decomposition (CCD) framework to investigate the spatial correlation of sources captured using two spatially separated sensor arrays. The relationship between the canonical correlations of the observed signals and the spatial correlation coefficients of the source signals are first derived, including an analysis of(More)
BACKGROUND Exercise is associated with favorable outcomes in cancer survivors. The purpose of this meta-analysis is to comprehensively summarize the effects of exercise intervention in breast cancer survivors. METHODS A systematic search of PubMed, Elsevier, and Google scholar was conducted up to March 2015. References from relevant meta-analyses and(More)
The classification of buried underwater objects is challenging owing to several issues that include: changes in operating and environmental conditions when collecting sonar data, variability of target signatures with respect to the aspect angle and range of the sonar, presence of competing natural and/or man-made clutter, bottom reverberation effects, and(More)
—Conventional hardware based per-component and system-wide power management methods can save more power consumptions if they are in assistance with software-level adaptation. Since the conventional coarse-grained methods are not adaptive to various fluctuating workload in real scenarios, the system performance can be deteriorated greatly if the objective is(More)
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