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Remote lab experiment RC oscillator for learning of control
Suzana Uran, Darko Hercog, Karel Jezernik, 2006, izvirni znanstveni članek

Opis: In the paper a remote lab experiment RC oscillator used to support Web based learning, to support learning by doing, to learn control design and to minimize the gap between theory and practice is presented. The experiment was designed with a special care for visualisation of important control design parameters in Bode plot and Root-Locus diagram. The experiment is based on MATLAB, LABview and DSP2 learning module. Using RC oscillator experiment RC circuit step response based or sinusoidal response based analysis, P controller design using Bode plot or Root-locus, relations between control design parameters and control performance and discrepancy between theory and practice could be covered. A homework based on RC oscillator experiment is presented and obtained experiences are discussed.
Ključne besede: control learning, RC oscillator, remote lab
Objavljeno: 31.05.2012; Ogledov: 915; Prenosov: 19
.pdf Celotno besedilo (2,40 MB)

Combined edge detection using wavelet transform and signal registration
Dušan Heric, Damjan Zazula, 2006, izvirni znanstveni članek

Opis: This paper presents a novel edge detection algorithm, using Haar wavelet transform and signal registration. The proposed algorithm has two stages: (a) adaptive edge detection with the maximum entropy thresholding technique on time-scale plane and (b) edge linkage into a con tour line with signal registration in order to c1ose edge discontinuities and calculate a confidence index for contour linkages. This index measures the level of confidence in the linkage of two adjacent points in the con tour structure. Experimenting with synthetic images, we found out the lower level of confidence can be set to approximately e-2. The method was tested on 200 synthetic images at different signal-to-noise ratios (SNRs) and II clinical images. We assessed its reliability, accuracy and robustness using the mean absolute distance (MAD) metric and our confidence index. The results for MAD on synthetic images yield the mean of 0.7 points and standard deviation (std) of 0.14, while the mean confidence level is 0.48 with std of 0.19 (the values are averaged over SNRs from 3 to 50 dB each in 20 Monte-Carlo runs). Our assessment on clinical images, where the references were expert's annotations, give MAD equal1.36:1:: 0.36 (mean :1:: std) and confidence level equal 0.67 :1:: 0.25 (mean :1:: std).
Ključne besede: edge model, edge detection, wavelet transform, signal registration
Objavljeno: 31.05.2012; Ogledov: 1002; Prenosov: 16
URL Celotno besedilo (0,00 KB)

All-fiber quasi-distributed polarimetric temperature sensor
Denis Đonlagić, Miran Lešič, 2006, izvirni znanstveni članek

Opis: This paper presents an all-fiber design of a quasi-distributed polarimetric temperature sensor array that utilizes commercially available single polarization and high birefringence fibers. The modulation depth of temperature induced loss and the operational temperature range of individual sensors in the network are set by the rotational alignment of fibers before fusion splicing and through fine adjustment of the sensing fiber lengths. A practical sensor network was built with sensors that operated in the temperature range from 0 to 100 C. Individual sensors in the network generatedtemperature dependent loss that changed proportionally from 0.9 to 1.8 dB. With current standard telecommunication OTDRs, more than 20 prototype sensors could be interrogated.
Ključne besede: fiber optics, sensors, temperature measurements, polarization, alignement, birefringence, polarization maintaining
Objavljeno: 31.05.2012; Ogledov: 1124; Prenosov: 16
URL Celotno besedilo (0,00 KB)

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