No description available.

Our research mainly consisted by two parts. First, apply p-norm error measure instead of 1-norm measure in a linear programming discrimination, which generates a linear hyperplane to classify two data sets. With this p-norm error measure, the errors generated by the classifier are not treated equally but rather biased. For 1, the bigger one error is, the more weight it obtains in the objective function. Second, investigation is conducted on a psychophysiological data set. Various methods are tested on this multi-dimensional time-series data set, from the linear programming method to the neural network method. With the help of DFT, The data is able to be transferred from the time domain to the frequency domain, in which the data set has interesting patterns

No description available.

This thesis describes the design and evaluation process of experimental measuring of the amount of bubbly air in water. The measuring principle is based on the assessment of speed of sound, which is dependent on the presence of air. Results were compared with the concentration calculated from the calibrated air flow through nozzles.

<p>U tezi je rešavan centralni problem &ndash; detekcija nule dvobitnom<br />stohastičkom digitalnom mernom metodom (SDMM). Formulisane su<br />dve metode detekcije nule primenom dvobitne SDMM. Po prvoj metodi<br />dinamička rezerva je oko 100 dB a po drugoj ne manje od 160 dB. Obe<br />metode su proverene teorijski, simulaciono i eksperimentalno. Pored<br />rešenja centralnog problema, dato je i nekoliko rešenja problema<br />koji su sa njim vezani. Hipoteza ove teze &ndash; &bdquo;dvobitna SDMM je u opsegu<br />0 % - 10% FS bolja od standardne sempling metode (SSM)&ldquo; &ndash; je potpuno<br />potvrđena u svim razmatranim slučajevima.</p> / <p>The main goal of this thesis was null-detection using a two-bit stochastic<br />digital measurement method (SDMM). Two methods of null-detection, using<br />two-bit SDMM, were formulated. Using the first method around 100 dB of<br />dynamic reserve was achieved and using the second one no less than<br />160 dB. Both methods were theoretically, using simulation and experimentally<br />confirmed. In addition to the solution of the main problem, several other<br />related problems were also solved. The hypothesis of this thesis &ndash; &ldquo;two-bit<br />SDMM in range from 0 % - 10 % FS is better than the standard sampling<br />method (SSM)&rdquo; has been fully confirmed in all considered cases.</p>