In this study, by using the performance-based plastic design method (PBPD), an iterative, simple and highly accurate procedure is introduced for designing these dual systems.
This paper deals with the optimal topology selection of continuum structures subject to displacement constraints by using the performance-based design concept.
The relative performances of algorithms are compared by using the three performance measures: number of iteration, iteration time, and convergence time.
By using the prescribed performance bounds, an adaptive fuzzy controller equipped with the Nussbaum-type gain function is developed.
Each subject had a neurobehavioral assessment by using the Swedish Performance Evaluation System (SPES), a computerized test battery.
We compare the three MAC protocols (i.e., ASO-TDMA, SO-TDMA, and CS-TDMA) in terms of CRs and delays by using the derived performance parameters.
Hooke Jeeves algorithm, Multi-Objective Genetic Algorithm II, and Multi-Objective Particle Swarm Optimization algorithm are evaluated by using the proposed performance indices and benchmark design problem.
In fact, for Scenario 1, own performance of the animals in the training set was used as response variable, whereas for the additive scenario more information was available by using the mean performance of 10 crossbred progeny.
Global cardiac function was evaluated by using the Myocardial Performance Index (MPI), which is the ratio of total time spent in isovolumic activity (isovolumic contraction time and isovolumic relaxation time) to the ejection time (ET).
Blood samples from 130 patients were taken for the analysis, and plasma INH concentrations were determined by using the high-performance liquid chromatography (HPLC) technology.
Steady-state plasma levels of tamoxifen and its 14 metabolites were measured by using the ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) method.
