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More ice deposits accreted on conductors or ground wires may be shed off when an overhead electric transmission line is responding to shocks initiated by natural ice shedding. Ice shedding causes the global mass, stiffness, and damping of the tower-line system to vary with time, and the successive

The present work investigates the effects of a forced harmonic oscillations of fixed frequency and amplitudes on the characteristics of a turbulent pipe flow with a mean Reynolds based on the cross sectional bulk velocity and pipe diameter of 5900. The setup refers to an extremely thin Stokes layer

r Abstract: When studying the neural responses to acupuncture with a block-designed paradigm, its temporal dynamics predicted by the general linear model (GLM) conforms to typical ‘‘on-off’ ’ variations during a limited period of the experiment manipulation. Despite a lack of direct evidence associating its psychophysiological response, numerous clinical reports suggest that acupuncture can provide pain relief beyond a needling session. Therefore, a typical GLM analysis may be insensitive or inappropriate for identifying altered neural responses resulting from acupuncture. We developed a new approach to investigate the dynamics underlying sustained effects of acupuncture. Specifically, we designed two separate models to evaluate the baseline activities (prior to stimulation) and neural activities in sequential epochs, using three block-designed functional runs: acupuncture at acupoint

of the crack and the shaft rigidity varying characteristics was simulated in a steady state rotating by apply the stress intensity factor is zero method, and the time-varying characteristics of inclination of 45 ° cracked shaft stiffness was detailed study. The studies have shown that, the stiffness of shaft

(TGF) mechanisms have time-varying characteristics. Furthermore, we utilized the Renyi entropy to measure the complexity of blood-flow dynamics in the time-frequency plane in an effort to discern differences between normotensive and hypertensive recordings. We found a clear difference in Renyi entropy

that such conditional models perform far better than unconditional specifications and about as well as the Fama-French three-factor model on portfolios sorted by size and book-to-market characteristics. The conditional consumption CAPM can account for the difference in returns between low-book-to-market and high

Abstract Stable indirect and direct adaptive controllers are presented for a class of input-output feedbacklinearizable time-varying nonlinear systems. The radial basis function neural networks are used as on-line approximators to learn the time-varying characteristics of system parameters

Abstract-A switching controller is designed and implemented in a custom-made temperature control system to perform sensitive bio-chemical reactions for medical diagnostics within a microfluidic platform. Nonlinear and time-varying characteristics of the plant are considered, and the system

sinusoidal model (TSM), to retrieve the spectral amplitudes of voiced frames. The proposed TSM spectral estimator provides precise estimation of spectral amplitudes and refines the fractional pitch lag of speech signals with time-varying characteristics. Compared to the traditional SM approaches, it is shown