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Static Analysis of the Parts of the Textile Structures
Husáriková, Natália ; Gratza, Roman (referee) ; Kytýr, Jiří (advisor)
Bachelor thesis deals with elastic modulus determination by experimental measurements and comparison with the manufacturer's declared values. Own methodology for measuring membrane strip is proposed in this thesis. Thus determined values of elastic modulus are used in analysis models using ANSYS software. Calculated values of displacements are compared with the manually measured values of displacements during the experiment. Membrane strip with a hole is modeled in the same way.
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Negation in Fuzzy Logic
Dekrét, Lukáš ; Havlena, Vojtěch (referee) ; Křena, Bohuslav (advisor)
This thesis deals with fuzzy logical connections, mainly negations, their properties and constructions.We focused our attention on triangular norms and conorms, which are often used for modeling of fuzzy conjunction and disjunction.We showed the possibilities of constructions of triangular norm and conorm using involutive negations.Futhermore, we dealed with approximation of function, which was created using empirical data to well known fuzzy negator.
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Automatic tuning of the DC motor controller
Tran, Adam ; Brablc, Martin (referee) ; Najman, Jan (advisor)
Diploma thesis deals with designing of algorithmus for automatic controller tunning for DC motors. Automatic tuning function consist of system identification and controller parametrization. Cascade control loop was chosen for its robustness and proper DC motor control. For electric system identification of DC motor was used recursive method of instrumental variables, because of noisy signal from current transducer. In the case of identification mechanical system, there were used least sqares method. According to identified parameters, current controller was parametrized by optimum module and revolution controller according symetrcal optimum.
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Statistical models for prediction of project duration
Oberta, Dušan ; Žák, Libor (referee) ; Hübnerová, Zuzana (advisor)
Cieľom tejto bakalárskej práce je odvodiť štatistické modely vhodné pre analýzu dát a aplikovať ich na analýzu reálnych dát týkajúcich sa časovej náročnosti projektov v závislosti na charakteristikách projektov. V úvodnej kapitole sú študované lineárne regresné modely založené na metóde najmenších štvorcov, vrátane ich vlastností a predikčných intervalov. Nasleduje kapitola zaoberajúca sa problematikou zobecnených lineárnych modelov založených na metóde maximálnej vierohodnosti, ich vlastností a zostavením asymptotických konfidenčných intervalov pre stredné hodnoty. Ďalšia kapitola sa zaoberá problematikou regresných stromov, kde sú znova ukázané metóda najmenších štvrocov a metóda maximálnej vierohodnosti. Boli ukázané základné princípy orezávania regresných stromov a odvodenie konfidenčných intervalov pre stredné hodnoty. Metóda maximálnej vierohodnosti pre regresné stromy a odvodenie konfidenčných intervalov boli z podstatnej časti vlastným odvodením autora. Posledným študovaným modelom sú náhodné lesy, vrátane ich základných vlastností a konfidenčných intervalov pre stredné hodnoty. V týchto kapitolách boli taktiež ukázané metódy posúdenia kvality modelu, výberu optimálneho podmodelu, poprípade určenia optimálnych hodnôt rôznych parametrov. Na záver sú dané modely a algoritmy implementované v jazyku Python a aplikované na reálne dáta.
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Regression analysis and splines
Benko, Milan ; Bašta, Milan (advisor) ; Komárek, Arnošt (referee)
The aim of this Bachelor's thesis is to introduce the basic concepts of regression analysis and subsequently regression splines as parametric models for regression function. I have looked upon the main characteristics of regression splines (coherence, coherence of derivations, the choice of placement and a number of knots). Further on in the thesis I have studied two bases as the examples of regression splines (truncated power basis and B-spline basis). I have also presented a model of natural cubic splines and a suitable basis for its representation has been derived. In the other part of my thesis I have looked upon the use of natural splines in order to increases the appraisal precision of regression function, mean square error formula has been derived and I have been trying to find out and illustrate under what conditions the use of natural splines is applicable. The thesis is complemented with a Monte Carlo Simulation, contextualized into models of splines. The results show that the criteria commonly used for the choice of a model ($\R_{adj}^2$, $PRESS$ statistic, hypothesis testing) do not always enable us to choose the right model in order to achieve the greatest precision of the estimation of regression function. All the calculations are done in R software and are in the electronic attachment....
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Moving averages in time series
Uhliarik, Andrej ; Cipra, Tomáš (advisor) ; Hudecová, Šárka (referee)
This thesis focuses on time series analysis usikng methods based on moving averages, especially the method based on the approximation of the trend compo- nent of a time series by polynomial functions. In the theoretical part of the thesis, we describe procedures for choosing right weights, degree and length of moving average for a specific time series. In the practical part, we are demonstrating this process on real data. A part of the thesis is a simple software for smoothing time series and tables with weights of moving averages for specific degrees and lengths. 1
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Negation in Fuzzy Logic
Dekrét, Lukáš ; Havlena, Vojtěch (referee) ; Křena, Bohuslav (advisor)
This thesis deals with fuzzy logical connections, mainly negations, their properties and constructions.We focused our attention on triangular norms and conorms, which are often used for modeling of fuzzy conjunction and disjunction.We showed the possibilities of constructions of triangular norm and conorm using involutive negations.Futhermore, we dealed with approximation of function, which was created using empirical data to well known fuzzy negator.
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