Is there an optimal sampling time and number of samples for assessing exposure to fast elimination endocrine disruptors with urinary biomarkers?

2020 ◽  
Vol 747 ◽  
pp. 141185 ◽  
Author(s):  
F. Faÿs ◽  
P. Palazzi ◽  
E.M. Hardy ◽  
C. Schaeffer ◽  
C. Phillipat ◽  
...  
Keyword(s):  
Endocrine Disruptors ◽  
Sampling Time ◽  
Urinary Biomarkers ◽  
Optimal Sampling ◽  
Optimal Sampling Time

Optimal sampling time after preparation of platelet concentrates for detection of bacterial contamination by quantitative real-time polymerase chain reaction

Vox Sanguinis ◽  
2005 ◽  
Vol 89 (4) ◽  
pp. 208-214 ◽  
Author(s):  
T. Mohammadi ◽  
R. N. I. Pietersz ◽  
L. A. H. Scholtalbers ◽  
C. M. J. E. Vandenbroucke-Grauls ◽  
P. H. M. Savelkoul ◽  
...  
Keyword(s):  
Polymerase Chain Reaction ◽  
Real Time ◽  
Bacterial Contamination ◽  
Sampling Time ◽  
Optimal Sampling ◽  
Platelet Concentrates ◽  
Chain Reaction ◽  
Polymerase Chain ◽  
Optimal Sampling Time

scholarly journals Optimization Procedure for Computing Sampling Time for Induction Machine Parameter Estimation

2020 ◽  
Vol 10 (9) ◽  
pp. 3222
Author(s):  
Tin Benšić ◽  
Toni Varga ◽  
Marinko Barukčić ◽  
Vedrana Jerković Štil
Keyword(s):  
Parameter Estimation ◽  
Induction Machine ◽  
Optimization Procedure ◽  
Optimization Method ◽  
Sampling Time ◽  
Optimal Sampling ◽  
Machine Parameter ◽  
Machine Model ◽  
Computing Power ◽  
Optimal Sampling Time

This paper presents a method for selecting the sampling time for induction machine parameter estimation from the machine line start measurements. the metaheuristic optimization method is used to find the optimal Prony exponential series approxiamtion of the line start transient current. From the optimal approximation, poles of the linearized induction machine model are computed and used to determine the optimal sampling time. the results show that sampling frequencies needed for parameter estimation are much lower than 1–15 kHz commonly used today. This reduces the necessary amount of collected data and the computing power needed for the estimation. the optimal sampling time is computed for the simulated and for the measured data. Referenced parameter estimation technique is tested for the measured transient showing benefits of using the optimal sampling time.

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