In this paper, exponentially damped sinusoidal signals are analyzed. Simple algorithms for fast measurement and estimation of the unknown damping, frequency, amplitude and phase are presented. The peaks of the discrete Fourier transform (DFT) results are adopted to obtain the parameters. The concept of quotient interpolation using the Hann window for the basic three parameters is also adopted for the damping estimation. In the case of the weakly damped sinusoids with dumping values up to 1, using the rectangular window in the estimation reduces the systematic errors in comparison with the Hann window, especially in the vicinity of the coherent sampling conditions.
COBISS.SI-ID: 8344660
This paper investigates the influence of affective metadata on the performance of a content-based recommender (CBR) system for images. We performed a user-interaction session and compared the performance of the recommender system with affective versus generic metadata. The results of the statistical analysis showed that the proposed affective parameters yield a significant improvement in the performance of the recommender system.
COBISS.SI-ID: 7907412
The systematic bias error of the amplitude ratio estimation owed to leakage effect can be effectively reduced by employment of the non-parametric multi-point interpolation of the discrete Fourier transform in the quotient of amplitudes. Simple single-step algorithms for fast measurement and estimation of the amplitude ratio of sinusoidal signals with the same frequency from two channels are presented. The paper analyzes and compares the systematic bias errors and the noise error behaviors of the amplitude ratio estimation changing the order of Rife-Vincent windows class I, which are designed for maximization of the window spectrum side-lobe fall-off, and minimum side-lobe level (MSL) windows, which are designed for minimization of the energy in the window spectrum main lobe. Estimation errors are shown in relation to the number of signal cycles in the measurement interval.
COBISS.SI-ID: 10567508
This paper describes a procedure for metrological evaluation of skin conductance measurement. Three commercial devices for measuring skin conductance were calibrated by comparison with a precision digital ohmmeter used as a reference. Combined measurement uncertainty of skin conductance meters was calculated by means of uncertainty of reference instrument and uncertainties due to measurement repeatability, reproducibility, resolution and environmental condition. Measurement uncertainty analysis showed that contributions due to resolution and sensitivity of the measuring device, usually obtained from specifications, are negligible when compared to uncertainty of measuring method.
COBISS.SI-ID: 9940052
This paper describes the problem of thermographic cameras, which are widely used for accurate measurement of temperature and not just temperature differences, which is more easy. To provide accurate and reliable measurements it is necessary to calibrate the thermal imaging camera, which allows assessment of the entire field of vision. To this end, we created a black body with a large opening, which has better temperature stability and homogeneity as the temperature sensitivity of the detector thermal imaging cameras. Experimental results show that the calibration can be in the range of 10 ° C to 70 ° C with an expanded uncertainty 0.2 ° C, while further research is needed in order to ensure a wider range of calibration. Furthermore, a thermal imaging camera calibration process was developed and tested, and a new ISO standard will be proposed that will set requirements for thermal imaging cameras. Our laboratory is involved in the development of this standard.
COBISS.SI-ID: 9591380