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)
Most of the existing job scheduling algorithms for grids have ignored the security problem with a handful of exceptions. Moreover, existing algorithms using fixed- number job replications will consume excessive resources when grid security level changes dynamically. In this paper, a security aware and fault tolerant scheduling (SAFTS) algorithm based on(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)
Realization of the full potential of human induced pluripotent stem cells (hiPSCs) in clinical applications requires development of well-defined conditions for their growth and differentiation. A novel fully defined polyvinyl alcohol/hyaluronan (PVA/HA) polysaccharide nanofiber was developed for hiPSCs culture in commercially available xeno-free, chemically(More)
It is time-consuming and expensive to design and develop a real time, large scale, and high fidelity interactive cloth simulation system, especially for an online virtual fitting room. In this paper, a new body modeling algorithm for cloth simulation is introduced and the key techniques for GOVFiR, a grid computing based online virtual fitting room, are(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)
  • Yinghui Zhao
  • 2010
Soil moisture is an important variable for understanding hydrology and climate. Its distribution is of great importance in the hydrological cycle due to its high spatial and temporal variability The massive data generated by satellite has rapidly created new processing challenges, especially, the tremendous increase in the amount of computational power(More)