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We report on measuring radiation effects of energetic oxygen ions on silicon carbide (SiC) diaphragm resonators. Micromachined SiC diaphragms (1 mm × 1 mm × 2μm) vibrating at ∼200–800 kHz on multimode resonances are exposed to 14.3 MeV oxygen ions to sensitively probe the radiation effects of high-energy ions. We have observed frequency redshifts as large as ∼2.6%, as well as quality (Q) factor degradation...
Because the wireless sensor network (WSN) has the characteristics of dynamic change of network topology, wireless link interference, and many-to-one, it is easy to cause congestion in wireless sensor networks. Analyzing the current congestion detection algorithms, Aiming at the characteristics of wireless sensor networks with limited data source, proposed congestion control algorithm based on a small...
Nowadays, high dynamic range (HDR) images have been widely used in photography, video processing and visual reality. In order to display HDR image on the ordinary low dynamic range devices, a technique named tone-mapping is introduced to reform its intensity value and produce a low dynamic range (LDR) image while keeping high contrast and rich detail. According to the work [1–5], the operators are...
Laplace transform is a very import conclusion guided by complex function integral, which occupies a very important position in applied mathematics. Especially when solving the initial value problem of n-order linear differential equations with constant coefficients, it is simpler than method of variation of constant and method of undetermined coefficients, and in some cases, it can be used to find...
With the popularity of database technology matures and data applications, the amount of data accumulated by the human increases rapidly. Facing the extremely large amount of data, we gradually step into a “rich data, poor knowledge” embarrassing situation. The data mining (Data Mining) rise to solve this problem. In this paper, we study the means and methods of clustering analysis that processing...
This paper studies a modification of quasi-maximum likelihood estimator for GARCH (1, 1) process with the errors, whose squares have regularly varying tail probabilities with the exponent α, α > 0. We showed that, this estimator is unbiased and asymptotically normal with standard convergence rate of n1/2 regardless of whether the errors are heavy-tailed.
In this paper we present a Power GARCH model with stable errors and apply the general theory of volatility forecasting to it. The use of the new model is illustrated with an application to the volatility of stock and exchange rate returns. In general, standard GARCH is outperformed by more sophisticated Power GARCH model, but use of imperfect volatility proxies leads to loss of precision in evaluating...
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