The thesis deals with strategic and financial analysis in the company Účetnictví a daně OSNOVA, s.r.o. It is divided into four parts. In the first part, the thesis deals with the theoretical basis according to the literature. The analytical part introduces the company. In the practical part, strategic and financial analyzes are performed. In the last part, conclusion and suggestions, concrete measures to reduce the value of risks resulting from the performed analyzes are then discussed.

Thesis provides an overview and discussion of current findings in the field of biometrics. In particular, it focuses on facial recognition subject. Special attention is payed to convolutional neural networks and capsule networks. Thesis then lists current approaches and state-of-the-art implementations. Based on these findings it provides insight into engineering a very own solution based of CapsNet architecture. Moreover, thesis discussed advantages and capabilitied of capsule neural networks for identification of a person by its face.

This thesis is concerned with the identification of the yeasts belonging to Saccharomyces species, which is participating in the particular fermentation phases of the white wine. The rapidity that we are able to identify the yeast strains is the significant factor for appreciation the fermantation proces quality as well as final product quality – the quality of wine. The molecular biology method developing is gradually limiting the using of traditional identification methods mainly because of their time intensity. In this thesis was used molecular method PCR-RFLP as an implement to quick and accurate identification of particular strains of yeasts. The specific DNA section was amplified by the help of PCR and consequently amenabled to the restrict analysis. The restrict endonukleas fissiled DNA to fragments specified for the certain strain of yeast. The fragments were detected by horizontal electrophoresis. To compare the fragments with type yeast fragments made us possible to identify the trast strain and its taxonomy classification. The literature search contains the basic information about the yeasts and their using, the information about wine making as well as the PCR-RFLP method principle.

This thesis deals with identification of the wine yeasts by applying the PCR-RFLP method. The identification and characteristic of the yeasts has gone through substantial changes in recent years. There have been introduced new methods of taxonomic classifying based on the molecular methods, which are oriented to easy and fast identification. One of these methods is the PCR-RFLP method. The amplification of the 5•8S-ITS rDNA sequence by the polymerase chain reaction with use of the primers ITS1 and ITS4 leads to the amplification of the specific sequence of DNA. Such multiplied DNA is after repurifying by the ethanol and drying submitted to the restriction analysis. With use of the restriction endonuklases DNA is chopped into the specific segments typical for the particular genus. The chopped fragments can be separated in the electric field in the agarose gel and subsequently evaluated. In this thesis together 63 type yeasts were used. These yeasts were analysed by applying of the seven restriction endonuklases – HaeIII, HhaI, HinfI, HpaII, TaqI, AluI a MseI. The final image of type yeasts splitting was compared to the results of splitting of already identified wine yeasts and these yeasts were subsequently taxonomically classified. Evaluation of genetic similarity was conducted by program BioNumerics and as the results the dendrograms that were created with use of Jaccard‘s coefficients are obtained.

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.

This thesis deals with identification of wine yeasts isolated during fermentation process of wine cider and grapes of Sauvignon grape variety, grown in the integrated vineyard. The identification and taxonomic classification is faster and easier due to the progress of molecular methods. In this thesis PCR-RFLP method was used for identification of yeasts. Sequences of DNA specific for each species were analysed. These sequences were amplified by means of PCR method and by using ITS1 and ITS4 primers. In following step, they were put through the restrictiction analysis with five restriction endonucleases. Fragments of DNA were separated by horizontal electrophoresis. The electrophoreograms were evaluated by BioNumerics software and final dendrogram representing genetics similarity of isolated yeasts was created by using UPGMA claster analysis. The basic information about yeasts and their identification by molecular methods are described in the theoretical part of this thesis.

This thesis deals with identification of yeasts isolated during spontaneous fermentation of grape juice. For analysis the Pinot Noir grape variety grown in the integrated vineyard was chosen. In the theoretical part of this thesis basic information about yeasts are described. Genera of yeasts that occurs during fermentation process and methods based on PCR are also described. In this thesis PCR-RFLP method was used for identification of yeasts. The amplification of the 5,8S-ITS rDNA sequence was performed by the polymerase chain reaction with use of the primers ITS1 and ITS4. The restriction analysis was performed by applying five restriction endonucleases: HaeIII, HinfI, Taq?, AluI, MseI. The amplicons were split into fragments which length and number are typical for the particular species. These fragments were identified by agarose gel electrophoresis and electrophoreograms were evaluated by BioNumerics software. Dendrograms representing genetic similarity of isolated wine yeasts were created by using UPGMA cluster analysis.

This diploma thesis intends to describe some of identification methods applicable to the induction motor resulting in the profit of some of these parameters by means of mathematical analysis. Afterwards these methods are simulated in MATLAB/Simulink and in the final part algorithms of these methods are consequently implemented to the digital signal processor.

This diploma work analyzes the problem of logistic and invertory management with using barcode. This diploma work is based on cooperation with Identcode company. DataPro Solutions is customer of Identcode company. The task is project warehouse system based on portable computers Dolphin from Hanhedl. The output of this diploma is proposal of warehouse inventory system for customer - DataPro Solutions company.

We often use a vector control for controlling of synchronous motor with permanent magnets. To get this control more effective we need to know the parameters of controlled motor. This document describes several methods, which deal with this problem and they are trying to expand them. We are talking about method uses Ohm’s law and the knowledge of motor model and method uses improved frequency analysis. The text below includes the principles of these methods and also identification verification of parameters by means of simulations on a created motor model. The final result of this work is the library of functions, which identificate on the basis on the improved frequency analysis.