Sentence examples for estimation process based on from inspiring English sources

Figure 3 Block diagram for the channel estimation process based on CS.

This is achieved in this study by means of a linear estimation process based on Kalman filtering.

IFDS thus computes the timeout interval for monitoring a process based on an estimation of the next heartbeat arrival time (EA) plus a dynamic safety margin.

Traditional schemes perform the handoff necessity estimation and trigger the network selection process based on a single metric such as Received Signal Strength (RSS).

One possible approach for faster convergence is the intelligent selection of the parameter in (112) (e.g., incorporating the fuzzy logic [26] or genetic algorithm [27] in the selection process) based on the capacity estimation methods such as those in [28, 29]. Figure 4 Rate allocation to different paths of the two sources.

It is more realistic and interesting to consider the parameter estimation for diffusion processes based on discrete observation, since the actual data may be obtained discretely.

A parameter estimation for diffusion processes based on continuous-time observation can be found in, e.g., Kutoyants [12], Kutoyants [13], Uchida and Yoshida [14], and Yoshida [15, 16]), in particular, Uchida and Yoshida [14] considered the evaluation problem of statistical models for diffusion processes driven by a small noise.

However, such studies are limited to relatively large-scale past phreatic events (e.g., Bandai volcano, Yamamoto et al. 1999; Adatara volcano, Fujinawa et al. 2008) and recent well-observed eruptions (e.g., Heiken et al. 1980; Ohba et al. 2007; Lube et al. 2014), and there are still uncertainties on quantitative estimation of the eruption processes based on geological records.

Retrieving when an event occurred may depend on an estimation of the age of the event (distance-based processes) or on strategic reconstruction processes based on contextual information associated with the event (location-based processes).

This paper proposes an estimation model and a classifier algorithm to queuing processes based on respective resource affinities.

The estimation process is based on the real-time monitoring of a limited set of power plants, completed by the acquisition of weather nowcast and energy measures collected on users through the standard Automatic Meter Reading infrastructure.