Sentence examples for metrics for characterizing from inspiring English sources

These errors affect the statistics of the estimated motion and distort common metrics for characterizing stochastic motion such as the mean-squared displacement (MSD) and velocity autocorrelation (VAC).

The body of research on this topic has been growing, but substantial work remains in developing metrics for characterizing system flexibility and trading it against other metrics of interest.

This chapter also discusses metrics for characterizing the data migration problem, the typical legacy data sources for automated mapping/facilities management (AM/FM) features, and the typical target model AM/FM characteristics.

This paper describes our progress towards this goal, including a tool for generating a wide range of negotiation scenarios, a set of high-level metrics for characterizing how negotiation scenarios differ, a testbed environment for evaluating protocol performance with different scenarios, and a community repository which allows us to systematically record and analyze protocol performance data.

The results demonstrate that the robustness metrics are more flexible and complete than the conventional metrics for characterizing wind farm power production, such as mean power output or wind power variability alone, and it is feasible to design wind farms to produce power with high mean value and low variability.

Other researchers have also attempted to apply various metrics for characterizing water scarcity, water stress index, and environmental flows to assess the environmental significance of ethanol's water requirements [37, 38].

The objective of this work was to evaluate a set of standardized metrics proposed for characterizing a surface that has been scratched from a two-body abrasion test.

Quantitative homology metrics are proposed for characterizing the thermal elastic response of polycrystalline materials.

To evaluate the metrics and scales appropriate for characterizing structural complexity in managed red pine, we applied metrics that incorporated one-, two-, and three-dimensional structural attributes to eight 1.0 ha mature stem-mapped stands.

Therefore, we believe that a blending of precise and imprecise metrics is more meaningful for characterizing and ranking a cloud service.

In this paper, we introduce two novel statistical metrics for defining and characterizing homogeneity of mixture in 3-D domain using centered L2-star discrepancy (CD) and wrap-around L2-star discrepancy (WD).