Sentence examples for behavior of a process from inspiring English sources

Commercial process simulators are equipped with extensive property databases and they employ high accuracy mathematical models providing the capability to simulate real behavior of a process operated within the area of the mathematical model validity.

The communication behavior of a process is represented by reading from and writing to FIFO channels.

The behavior of a process is described by data collected for performance measures defined by this process.

Heteroskedasticity is the statistical behavior of a process to produce different variances at different times (i.e., the variance is not constant over time).

The time taken to dynamically understand the I/O behavior of a process, make the initial I/Os of the sequential group experience a higher latency, however, due to lower latencies experienced by the later I/Os, their overall average latency is reduced.

So the two corresponding question templates are "In [parent event], where does the [object of the movement] in [destination] come from?" and "In [parent event], where does the [object of the movement] go after it leaves [origin]?" An "input and output" question focuses on the behavior of a process.

Assuming that the normal and the failed behaviors of a process can be modeled by two linear systems subject to inequality bounded perturbations, a method for on line implementation of a detection signal, guaranteeing detection of failure, is presented.

Standardization can be defined as a process of re-engineering, which aims to obtain the same behavior of a given process in all instances.

In other words, a test procedure is defined to measure whether the behavior of a given process is good enough for the application at hand, if it is then the tested process is recommended.

In this paper, a methodology is suggested for analyzing the behavior of a chemical process with respect to the extent in which trends in unmeasurable process quantities can be identified through recognition of trends in measurable process quantities.

The paper shows how the knowledge about the behavior of a continuous process can be formalized in terms of relation between discrete events so that a recursive recognition process of signatures can be used in order to design monitoring cognitive agents.