Sentence examples for shift processes from inspiring English sources

In view of these specificities, a preprocessing model was designed, based on the main perceptual cues involved in the auditory perception of moving sound sources, such as the intensity, timbre, reverberation, and frequency shift processes.

The emergence of magnetization M may be due to a change in magnetic field strength H. Hysteresis loop proceeds in three main stages: initial reversible magnetization, rapid irreversible magnetization, and the slow approach to saturation, which they related, respectively, to the reversible shifts of domain walls, irreversible rotation and shift processes, and the reversible rotation of domains [3].

An essential requirement for the proton exchange membrane (PEM) fuel cell is to deliver clean H2 to the anode electrode, the kinetics of which are greatly hindered by traces of CO present from the upstream hydrocarbon steam reforming and water-gas shift processes.

To examine whether there was an anxiety-related bias for threat cues in attentional shift processes, an ANOVA of RTs from valid trials was carried out with anxiety and cue valence (angry and neutral) as IVs.

The presence of Cu mitigates the methanation activity of Ni favoring the shift process.

We propose an attention shift network (or attention graph) representation to represent the attention shift process at the collective level.

Based on the dynamic analysis of shift process, Dual Clutch Transmission (DCT) movement's influence on shift quality is studied.

In order to make the transmission output torque change smoothly during shift process, a control method is put forward.

As shown in Figure 2, we construct an attention shift network or attention graph to represent the attention shift process at the collective level.

The attention graphs allow for qualitatively characterizing the collective attention shift process, with evident statistical and structural changes under exogenous shocks.

We present k-NN reweighting methods and clustering reweighting method to estimate the importance of training set in covariate shift process.