Sentence examples for performance optimization process from inspiring English sources

The results produced by The material performance optimization process are visual.

It presents a new tool architecture that has recently been developed in the ASCI/Earth simulator scope to support applications on very large machines and to ease the performance optimization process significantly.

Synthetic solution of diplexer design, RF performance optimization, fabrication process, packaging, RF response measurement, and reliability test is particularly explained and analyzed in this work.

By utilizing the finite element analysis (FEA) to analyze the stress distribution of sensitive elements and subsequently deducing the relationships between structural dimensions and mechanical performance, the optimization process makes the sensor achieve a higher sensitivity and a lower pressure nonlinearity.

However, overall performance of the optimization process is proved quite reliable.

Several factors affect the performance of the optimization process, and one of which is the design criterion.

We propose in this work an efficient way to evaluate the measurement of uncertainty at the end of the development step of an analytical method, since this assessment provides an indication of the performance of the optimization process.

Building energy simulators such as TRNSYS, EnergyPlus, and Esp-r offer an excellent opportunity for detailed design of house thermal model and its Heating, Ventilating, and Air Conditioning (HVAC) system and provide very accurate simulation results useful for performance analysis and optimization process.

An analysis of these settings does, in fact, enable enhancement of the performance of the optimization process [ 33, 47, 48].

The models arising from the remaining 92 experiments were, in theory, identical, such that their comparison gave an insight into the performance of the optimization process.

We calculated the performance of any optimization process that selects the pacing setting which maximizes an underlying signal, such as flow or pressure, in the presence of overlying random variability (noise).