Sentence examples for implementation of a robust from inspiring English sources

After an effective implementation of a robust reporting solution, the transition to digital imaging ensued.

This paper details the design and implementation of a robust controller that stabilizes an unmanned motorcycle.

In this work, we focus on the design and implementation of a robust flight control system for an unmanned helicopter.

The cyclic elastic plastic stress strain field was analyzed using the general-purpose finite element software (ABAQUS) with the implementation of a robust cyclic plasticity theory.

Thus, implementation of a robust and cost-efficient carbon accounting system is one of the prerequisites for receiving financial benefits under the REDD + mechanism.

The paper proposes the implementation of a robust cruise control system which is able to ensure the fuel-efficient travel of the vehicle with a look-ahead control algorithm.

A lack of absorptive capacity at all levels of grant implementation has been identified in many settings and may explain the slow progress in grant implementation outside of a robust health system [ 16, 27].

The error in the calculation of product recovery increases approximately two-fold increasing the number of beds from 2 to 6. Therefore, the present study shows that implementation of a more robust method for the evaluation of final pressure during the equalization steps is imperative for the development of new models of industrial PSA processes, especially for the number of beds exceeding 2.

The implementation of a relatively robust defense response was somewhat unexpected, at least against insect herbivory, considering that the unusually high tolerance to defoliation we have observed in A. hypochondriacus plants (see below), might be expected to exempt this species from an investment in metabolically costly inducible defense responses (e.g. protease inhibitors and lectins).

An implementation of all robust rank correlation tests used in this paper is available as an R package from the CRAN repository.

In this paper we introduced a basic implementation of a noise-robust ASR system that uses the modulation spectrum, instead of the short-time spectrum to represent noisy speech signals, and sparse classification to derive state probability estimates from time samples of the modulation spectrum.