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.
The paper presents application of a modified, symmetrical Bouc-Wen model to simulate the mechanical behaviour of high-frequency piezoelectric actuators (PAs). In order to identify parameters of the model, a two-step algorithm was developed. In its first stage, the mechanical parameters were identified by taking into account their bilinear variability and using a square input voltage waveform. In the second step, the hysteresis parameters were determined based on a periodic excitation. Additionally, in order to reduce the influence of measurement errors in determination of selected derivatives the continuum wavelet transform (CWT) and translation-rotation transformation (TRT) methods were applied. The results proved that the modified symmetrical Bouc-Wen model is able to describe the mechanical behaviour of PAs across a wide frequency range.
Climate change has been affecting plants over the last century and caused
changes in life history features such as the flowering time. Herbarium specimens provide
a snapshot of the past environmental conditions during their collection. The collection
date in a herbarium specimen is a good proxy to determine the flowering period (phenology).
In this study, phenological data from subarctic plant specimens collected over
100 years were gathered by using one of the largest herbarium databases in the World.
The collection dates of 7146 herbarium specimens were analyzed and significant shifts
in the phenology of subarctic plants were detected. In this study, most of the analyzed
142 species in a subarctic biogeographic region tended to flower earlier in the 1950–2018
period compared to the 1900–1949 as a possible result of the climate change. Flowering
time shifted from 8 to 26 days in some species. Changes in flowering time may
alter species interactions, community composition, and species distribution in a region.
Therefore, results of this study may shed light on the possible shifts in phenology and
plant responses under the climate change.