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Substituting circuit of an induction machine
Běloušek, Radim ; Cipín, Radoslav (referee) ; Patočka, Miroslav (advisor)
Although induction motors are the simplest and most working reliability machines, is the identification of the parameters of their substituting circuit very difficult. There is solved the identification of the parameters of the substituting circuit in the T-network and ? –network in this work. The work also includes the proposal of magnetic circuit of the induction motor, the calculation of magnetizing and leakage inductances and resistances of the machine. The conclusion of the work is devoted to the sensitivity analysis of current and torque characteristics of induction motor upon the change of the single parameters of the substituting circuit.
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Identification of DC motor parameters
Kabelka, Ondřej ; Veselý, Libor (referee) ; Pohl, Lukáš (advisor)
This bachelor´s thesis deals with identification of parameters of the DC motor. An identification program in LabVIEW with data processing in Matlab has been created. After the identification of electrical and mechanical parameters of the motor there are current regulators and velocity regulators designed and implemented in the LabVIEW enviroment as a verification of the correctness of the identification.
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DESIGN OF FIBER-OPTIC BIOSENSOR WITH NEAR-INFRARED SPECTRAL ANALYSIS
Křepelka, Pavel ; Jakubec,, Martin (referee) ; Skládal, Petr (referee) ; Mikulka, Jan (advisor)
This thesis deals with a measurement and interpretation of NIR spectra of bacterial cells and design of biosensor using this analytical technique. In the first chapter, there is introduction of current state of knowledge in the field of NIR spectroscopy in microbiology and technology of fiber optic biosensors. The summary of this chapter shows that NIR is a suitable technique for direct molecular analysis of bacteria, but it suffers from low sensitivity and insufficient interpretation of bacterial spectra. In the next part of the thesis, there is a theoretical background of spectral analysis techniques and technology of fiber optic sensors. In the practical part of this work, there is suggested the elimination of disadvantages of NIR spectroscopy in microbiology by a series of experiments used for interpretation of NIR spectra of bacteria and design of fiber optic sensor to increase sensitivity of this technique. In this work, spectral regions important for the identification of bacterial strains were determined and partially interpreted and the sensor for bacterial analysis capable of classifying strains based on 105 captured cells was designed. Therefore, the objectives of this work were fulfilled.
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Application of Generalized Laguerre Functions to System Identification and Modeling
Tůma, Martin ; Kozák,, Štefan (referee) ; STRAKA,, Ondřej (referee) ; Jura, Pavel (advisor)
Tato práce se zabývá použitím zobecněných Laguerrových funkcí pro modelování a identifikaci dynamických systémů. Po krátkém úvodu je uvedena definice zobecněných Laguerrových polynomů a funkcí a některé jejich vlastnosti. Je zavedena metoda pro identifikaci spojitých dynamických systémů z diskrétních nasamplovaných dat s použitím zobecněných Laguerrových funkcí a porovnána s metodou nejmenších čtverců. Je diskutována volba optimálních parametrů p a alpha pro konečné Fourierovy řady se zobecněnými Laguerrovými funkcemi. Na příkladech je porovnána navržená identifikační metoda s metodou nejmenších čtverců. Je zavedena diskrétní Laguerrova transformace a její rozšíření s použitím zobecněných Laguerrových funkcí. Na příkladech je předvedena aplikace diskrétní Laguerrovy transformace na kompresi dat. Je ukázáno, že použití diskrétní Laguerrovy transformace může vést k lepším výsledků při kompresi dat než tradiční postup s využitím diskrétní kosinové transformace.
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Parameters identification of the asynchronous machine substituting circuit
Běloušek, Radim ; Cipín, Radoslav (referee) ; Patočka, Miroslav (advisor)
Mathematical model and substituting circuit both include several parameters, which is important to determine for a control. This work is target on identification of parameters of substitute circuit of the asynchronous machine in -network form. The work is divided into several main units. In the first of them are shown the methods of identification of asynchronous machine on the selected machine. The measuring of torque characteristic by classical way with dynamometer and by dynamically with fly-wheels is shown in the next part of this work. The final part of this work is devoted to interpretation and comparison of achieved results.
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Optimalization of PCR-RFLP method for taxonomy of yeasts
Olivová, Radana ; Vadkertiová, Renata (referee) ; Vránová, Dana (advisor)
This thesis deal with optimalization method PCR – RFLP for taxonomy enlistment of yeasts. Conventional identification methods for yeasts are time-consuming. Molecular biological method based on PCR are instrumental towards fast and precise identification as compared to conventional phenotypic methods. In this thesis molecular biological method PCR – RFLP was used for identification and enlistment of yeasts. This metod follow repeating spacers of ribozomal DNA of yeast, characteristic for each species and strain. By the help of PCR were amplified specific partitions of DNA. These fragments of DNA were split by restriction endonucleases and identified by horizontal electroforesis. In background of this thesis there are information about yeasts, their taxonomy and molecular biological methods.
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Identification of human iris
Horníček, Vladimír ; Maršálek, Roman (referee) ; Frýza, Tomáš (advisor)
This bachelor‘s thesis deals with eye iris human identification. The main advantage of eye iris human identification is individuality and accuracy of human eye iris. In the beginnig of this thesis there are described the main biometrics terms. The second part of this work engages theoretical basics of identification system activity and functionality. By using theoretical datas, there is designed and created an aplication in the Matlab simulation program. This aplication is able to creates and then compares the iris human. In the end of this thesis there are a results analysis.
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Realization of fingerprint scanner
Kovář, Martin ; Sekora, Jiří (referee) ; Mézl, Martin (advisor)
This master’s thesis deals with the issue of scanning human fingerprints, which is currently very topical and represents the most widespread biometric technology. The theoretical part of the work acquaints the reader with basics of dactyloscopy and biometrics and concerns technologies used for fingerprinting, image preprocessing methods and commercially available contactless optical scanners. The practical part is a realisation of a contactless optical scanner based on a Raspberry Pi minicomputer, implementation of preprocessing algorithms in Python and testing of the device from the perspective of image quality.
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Isolation, Identification and Characterisation of Microbial Communities of Wine and Selected Foods
Šuranská, Hana ; Španová, Alena (referee) ; Jarošová, Alžběta (referee) ; Omelková, Jiřina (advisor)
Proposed dissertation thesis deals with wine and artisanal cheeses microbiology. The first part is focused on identification of yeasts isolated from grapes and musts during production of white and red wines. The grape varieties were grown under the integrated and organic farming on Moravian vineyard. Yeasts were identified by ITS-PCR-RFLP method (amplifying internal transcribed spacer ITS: ITS1, ITS2 and 5.8S rDNA) and unknown species were subjected to partial sequencing of ITS rDNA region. In total, 524 isolates were divided into 14 different species belonging to six genus were identified from. The first stages of fermentation process were characterised by predominance of non-saccharomyces species especially H. uvarum. Due to increased ethanol concentration strains of S. cerevisiae prevailed in the later phases of the process. Further, partial aim of this study was to isolate and to apply selected autochthonous S. cerevisiae strains as starter culture during controlled industrial wine fermentation process. Genus Saccharomyces was distinguished from other non-saccharomyces species by ITS-PCR-RFLP. Further, in order to distinguish Saccharomyces genus at the species and the strain level, several molecular methods were applied including PCR-fingerprinting (rep- and RAPD-PCR), species-specific primers (multiplex and touchdown PCR), LSU-DGGE and interdelta PCR. Species-specific primers enabled us to distinguish some species of the Saccharomyces sensu stricto complex. Furthermore, interdelta PCR seems to be useful tool for S. cerevisiae strains identification. Among 120 isolated autochthonous strains belonging to Saccharomyces genus, 45 different strains were identified. Based on its sufficient technological properties (osmo- and ethanol tolerance, low H2S production etc.), S. cerevisiae 1-09 strain isolated from grape berries coming from moravian vineyard was chosen. Strain S. cerevisiae 1-09 was tested in small amount of must and after that also during industrial fermentation of red and white wine production. Based on the results of chemical and sensorial analysis, the strain seems to be suitable for application as the starter culture for winemaking process. The final part of this thesis is focused on quantification and identification of the yeasts isolated from artisanal cheeses and their by-products coming from Western Balkan Countries. Isolated species were identified by ITS-PCR-RFLP, partial sequencing and by physiological tests. Among the 20 yeast species found, D. hansenii, C. zeylanoides and Y. lipolytica were found to be predominant. Moreover, we developed culture-independent, semi-quantitative technique based on construction of ITS-clone library from metagenomic DNA to investigate complex fungal communities associated with artisanal cheeses and their by-products. Novel technique is based on direct extraction of total DNA from the sample. This was compared with culture-dependent ITS-PCR-RFLP and culture-independent LSU-DGGE methods. The results highlighted the discrepancies among these methods. Finally, the divergences among applied methods were confirmed by correlation analysis and by indices of general biodiversity and dominance of species. ITS-clone library approach combines the advantages of cultivation-based analysis and LSU-DGGE with semi-quantification of fungal species without the requirement of their cultivation. This study might open new perspectives in direct and complex analysis of yeasts and moulds in food matrices.
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