Sentence examples for operational identification from inspiring English sources

Using a threshold of 1 1.3% for the operational identification of species based on 16S rRNA genes (Thompson et al. 2005; Pei et al. 2010), 137 genomes demonstrated an intragenomic diversity equal to or higher than the operational threshold, revealing a borderline diversity (between 1% and 1.3%) in 57 genomes and ≥1.3% in 80 genomes.

Among current techniques for performing operational modal identification, the so-called blind identification methods are the subject of considerable investigation.

The train operational state identification is required by the MSS or the dispatching center, and should cover every SS in the entire traction network [5].

DIARES-IPM is an operational automatic identification tool that helps non-experts to identify pests (insects, diseases, nutritional deficiencies and beneficial insects) and suggest the appropriate treatments.

But due to the inherent complexity of such interdependencies and the dynamic operational environments, identification and mitigation of composite risks in systems remains a challenge.

Following a brief review of the development of operational modal identification techniques, we describe a new method named frequency spatial domain decomposition (FSDD), with theoretical background, formulation and algorithm.

Simultaneously, the integral operational modal identification method of offshore wind turbine in the range of full power is proposed based on traditional and modified stochastic subspace identification technologies, and further the modal identification results and the relationship between structural modal parameters and environmental/operational factors are also illustrated in this paper.

Andersen's model of health services utilisation was used as the operational framework for identification of variables in this study (Fig.  1).

The resulting safety indicators reflect safety in AMS operation and can assist in planning of operations, in daily operational decision-making, and identification of improvements.

It has allowed the identification of operational and design parameters which influence sample cutter performance and bias.

The struggle with the identification of operational risk determinants should be minimized by the identified set of determinants, obtained from a representative sample of SMEs in New Zealand.