Sentence examples for flow classification from inspiring English sources

In our previous work we proposed a classification algorithm for Internet traffic flow classification based on Artificial Immune Systems (AIS).

We used a sub-regional flow classification for eight states as a way to stratify unregulated and regulated streams into comparable units.

In this paper, we develop a framework for the flow classification (FC) design and performance analysis of multi-protocol over ATM (MPOA) network.

The purpose of this study was to use a regional flow classification as the foundation for evaluating patterns of hydrologic alteration due to dams and to determine if the response of rivers to regulation was specific to different flow classes.

Substantial improvement was observed in all the measured properties after dry coating relative to the uncoated powders, such that each powder moved from a poorer to a better flow classification and showed improved dispersion.

Meanwhile, using the flow classification control technology to reduce unnecessary flow rate, making the flow rate to be control in the post-affordable range.

Only the models of turbulent cross-flow classification, which are adjusted to the conditions of hydrocyclone classification in dilute suspensions, come in the form of the tapping model or partition model close to the satisfaction of the demands mentioned above.

Two-flow classification of [2] assumes the same transmission and carrier sense range and do not clearly differentiate between links interfering from transmission and carrier sense range.

Per-flow throughput prediction and starvation modeling in [1] are based on embedded two-flow classification of [2], which actually defines geometrical relations between two contending flows and their MAC behavior.

Unlike a prior work on two-flow [2], two-flow classification in [12] takes more realistic assumption of different transmission and carrier sense range, and it can clearly differentiate between links interfering from transmission and carrier sense range.

In this work, we model packet loss probability of individual station based on our prior geometric analysis of a two-flow classification in [12], and unlike [1], our proposed model can clearly differentiate between interference from transmission and carrier sense range.