Sentence examples for undesirable performance in from inspiring English sources

In practice, time delay phenomenon is frequently encountered in engineering and social systems, and the existence of it may cause undesirable performance in feedback systems such as chaos [19, 20].

However, conventional soft error resilient techniques have significantly increased the access latency and energy consumption in cache memory, thereby resulting in undesirable performance and energy efficiency degradation.

A key aspect of these tests was to identify the potential failure modes of the FRP anchored system and techniques to avoid failure modes that resulted in undesirable performance.

In parallel, to ensure long time operation and to prevent undesirable performance degradation, a shutter system was also implemented in order to reduce impurity deposition on in-vessel mirrors but also to allow in situ transmission calibration.

The candidate design can then be altered to another optimal design from the Pareto set in the case of undesirable performance.

In addition, nonlinear terms are only known approximately in practice and therefore previous works may lead to undesirable performance.

In this paper, we develop a new Data Envelopment Analysis (DEA) model for DfE performance evaluation where the simultaneous increase of desirable outputs and decrease of undesirable outputs are considered with a focus on identifying inefficiency as a result of higher levels of undesirable performance.

While poor glucose sensitivity often contributes to undesirable sensor performance in vivo, diminished accuracy also results from sluggish response of the sensor to changes in BG levels.

That is, the ratio (OA′/OA) indicates the degree of unified efficiency of {A} by frac{{OA^{prime } }}{OA} = frac{{OA - AA^{prime } }}{OA} = 1 - xi.The ratio (AA′/OA), or (xi), indicates a magnitude of the directional vector of DMU {A} to improve the environmental performance in the two undesirable outputs.

In general, having a flow split deviate from equality is likely to result in undesirable thermal performance.

However, few methodologies have focused on the importance of model parameter optimization or data pre-processing, resulting in undesirable forecasting performance.