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Existing volcano instrumentation and monitoring system use centralized approach for data collection and image reconstruction and they lack the capability of obtaining real time information. A new distributed method is required which can obtain a high resolution seismic tomography in real time. In this paper, we present a component-average distributed multi-resolution evolving tomography algorithm...
In this paper, a family of exponential integrators of Runge-Kutta type are formulated for initial value problems of systems of ordinary differential equations with asymptotically stable equilibria. A convenient approach to constructing new exponential RK methods on the base of traditional Runge-Kutta methods is presented. The exponential RK methods are zero-dispersive and zero-dissipative, and are...
In case of three-phase short circuit fault occurring at the terminal of a doubly-fed induction generator (DFIG), the rotor current characters of DFIG are analyzed from the viewpoint of the flux linkage, and the expression of the rotor current is deduced together with the estimated expression of the maximum rotor current. Based on above analysis, the max rotor currents and their appearing times with...
The awareness and acceptance of consumer on Virtual goods are the research focus in the evolution of the internet business model. The Paper based on the technology acceptance model, designs the acceptance extended model for virtual items consumption in the internet environment, uses the model to create attitudes and intentions model of consumer for virtual items, introduces structural equation model...
Bayesian compressive sensing (BCS) utilizes the prior distribution of signal coefficients to reconstruct the original signal. The widely used prior is Laplace and Gaussian distributed. In this paper, we use the scene of L sets of signal sparse coefficients which are statistically related and take advantage of Laplace prior and statistically interrelationship among signals to propose the Laplace prior...
Topic description is as important as topic detection. In this paper, we propose a novel method to describe Web topics with topic words. Under the assumption that representative words exist in important sentences and have high probability of occurrence with other representative words, two graphs are built, one of which represents the relationship for sentences, the other for words. Considering a topic...
In order to probe the effects of the renewal rate and the renewal period on the cell biomass, nutrients consumption and extracellular polysaccharide production, the Porphyridium cruentum was cultivated semicontinuously in the 30 L flat plate photobioreactor. The results showed that the growth rate of microalgae followed a progressive rise with the increase of renewal rate and fall with the extension...
Active contours model (snake) is a typical quantity dynamic contours model. Its main principle is to define a curve with energy in the area in which the researcher is interested, approaching the contours of the object through optimizing the energy function dynamically. Its biggest defect is that it can hardly handle the topological structure transformation when extracting the object contour. Geodesic...
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