Temat: calibration curve - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Sensor Calibration Design Based on D-Optimality Criterion
Autorzy:: Hajiyev, C.
Powiązania:: https://bibliotekanauki.pl/articles/220607.pdf
Data publikacji:: 2016
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: sensor
calibration curve
calibration design
D-optimality criterion
least squares method
Opis:: In this study, a procedure for optimal selection of measurement points using the D-optimality criterion to find the best calibration curves of measurement sensors is proposed. The coefficients of calibration curve are evaluated by applying the classical Least Squares Method (LSM). As an example, the problem of optimal selection for standard pressure setters when calibrating a differential pressure sensor is solved. The values obtained from the D-optimum measurement points for calibration of the differential pressure sensor are compared with those from actual experiments. Comparison of the calibration errors corresponding to the D-optimal, A-optimal and Equidistant calibration curves is done.
Źródło:: Metrology and Measurement Systems; 2016, 23, 3; 413-424
0860-8229
Pojawia się w:: Metrology and Measurement Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: An example of the application of Mössbauer spectroscopy for determination of concentration of iron in lyophilized brain tissue
Autorzy:: Rzepecka, P.
Duda, P.
Giebułtowicz, J.
Sochacka, M.
Friedman, A.
Gałązka-Friedman, J.
Powiązania:: https://bibliotekanauki.pl/articles/147214.pdf
Data publikacji:: 2017
Wydawca:: Instytut Chemii i Techniki Jądrowej
Tematy:: Mössbauer spectroscopy
background spectrum
iron concentration
brain tissue
calibration curve
Opis:: Mössbauer spectroscopy is not routinely used for the determination of the concentration of iron. However, as this method does not need any pre-treatment of samples before measurements, it may be of extreme importance for the assessment of iron in samples, which can then be used for further investigations. Biological samples are a good example, however, as the concentrations of iron are very low in these, it is important to exclude possible artefacts from the background spectrum related to iron present in the counter and cryostat windows. The aim of this study was to compare two methods of determination of the amounts of iron in investigated sample: one, in which the background spectrum was subtracted from the sample spectrum measured, and the other, in which the obtained non-elaborated spectrum was fitted with two doublets – a doublet for the measured sample and a doublet for the background spectrum. Three samples containing known amounts of natural iron (400, 800 and 1600 µg) and a sample of lyophilized human brain tissue obtained from globus pallidus were assessed. Both methods led to the creation of a very good calibration curve with a correlation coefficient of 0.99. Although both methods gave similar results for the concentration of iron in the sample, the subtraction of the background spectrum had a significantly lower error of the final result.
Źródło:: Nukleonika; 2017, 62, 2; 159-163
0029-5922
1508-5791
Pojawia się w:: Nukleonika
Dostawca treści:: Biblioteka Nauki

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