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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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Analyzer of web application
Vašíček, Tomáš ; Lieskovan, Tomáš (referee) ; Martinásek, Zdeněk (advisor)
This work focuses on the identification of technologies in web applications. The main goal is to develop a software tool for basic analysis of web applications that aims to identify the application's operating system, web server, and programming language. This work further aims to allow the developed tool to be integrated into the Penterep platform as an extension module. The theoretical part of this work is an introduction into the area of web application analysis with emphasis on describing and manually demonstrating the existing identification methods. The practical part presents the design, implementation and testing of the developed tool. This part also includes a description of an experimental environment that was built using the Docker platform.
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Probiotics and their use in food industry
Diado, Aleksandra ; Rittich, Bohuslav (referee) ; Španová, Alena (advisor)
Probiotic bacteria are defined as live microorganisms, which when consumed in the determining quantities, have healthy and beneficial effects. Most of probiotics belongs to the genera Lactobacillus and Bifidobacterium. These and other genera of microorganisms are successfully used in industry, including food industry at present. Probiotics are used primarily in dairy products and food additives in food idustry. Probiotic bacteria, like other organisms, can be to identifie by PCR method that allows amplifying specific regions of DNA. Polymerase chain reaction was performed after DNA isolation from bacterial cultures of three strains using phenol extraction method. PCR specific for the domain Bacteria and genus-specific PCR were used for the confirmation of the presence of bacteria of the genus Lactobacillus.
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Traction Drives with Asynchronous Motors
Běloušek, Josef ; Skala, Bohumil (referee) ; Richter, Aleš (referee) ; Patočka, Miroslav (advisor)
The first part of this work is devoted to the design of a traction asynchronous motor. The second part focuses on the developed method of the equivalent circuit parameters identification of the asynchronous motor in the form of -network. It is explained here that the equivalent circuit in the shape of a -network, alternatively of an inverse 'I-network, is exactly equivalent and fully-fledged to a T-network, although one of two stray inductances is formally missing. Furthermore, the relationships for the conversions of the T-network parameters to the -network parameters and back, and of the T-network to the inverse 'I-network and back are found. The third part deals with the calculation of the torque and the current characteristics of the asynchronous motor. A sensitive analysis of the torque characteristic is carried out on the individual parameters of the equivalent circuit of the asynchronous motor in the form of a -network and a method of the measurement by means of a flywheel is used for the torque characteristic measurement of the asynchronous motor. The fourth part focuses on the verification of the identified -network parameters in the Matlab-model of the traction drive.
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Application of RFID Technology for the Registration of Vehicles
Kraus, Zdeněk ; Lukáš, Roman (referee) ; Koutný, Jiří (advisor)
The thesis considers using of contanctless identification technology - RFID onto practical objective for vehicles registration. It describes basic principles of this techonology, components construction, process of communication and used frequency bands. Additionaly it describes complete system and process of it's development with solutions of difficulties, which has occured during the implementation. Finally it describes progress of system implementation and further additional possible development of the system. In conclusion it evaluates contribution of the whole thesis.
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Multicameras Biometric Gateway to Identify People
Kosík, Dominik ; Orság, Filip (referee) ; Goldmann, Tomáš (advisor)
This thesis is about creating biometric gate to identify people. The Identification is achieved with 5 RGB cameras and one thermal camera. Thermal camera is used for detection of person. Then, from images acquired from RGB cameras, is created 3D model of photographed person. This model is then used for the identification. However due to inaccuracies in created model, identification isn't precise enough. Because of that, it's necessary to modify used algorithms processing 3D model, so better precision is achieved.
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Monitoring of the influence of using indigenous yeasts for wine production in the conditions of winery
Beníčková, Romana ; Vadkertiová, Renata (referee) ; Vránová, Dana (advisor)
This thesis deals with identification of yeasts by applying the RFLP-PCR method. Objective of the thesis was to identify the yeasts present in wine from Grüner Veltliner during fermentation. Identification was made by amplification of 5,8S-ITS sequences of DNA by the polymerase chain reaction with primers ITS1 and ITS4. Amplified DNA was submitted to the restriction analysis by restriction endonuclease HaeIII, HinfI and HhaI. By restriction analysis with a specific enzyme, the amplified DNA is chopped into the specific fragments which are characteristic for given kind of yeasts. In the analysed wine, the dominance of autochthonal yeast Saccharomyces cerevisiae was confirmed throughout fermentation. The other identified yeasts in the wine were of kind Pichia. The second part of the thesis was to expand the database by characterization of 28 type-yeasts, using RFLP-PCR analysis. To compare the genetic similarity, program BioNumerics was used, which processed the results of UPGMA cluster analysis using Jaccard´s coefficients.
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Biometric Performance Testing of Signature Technology
Homola, Petr ; Drahanský, Martin (referee) ; Fiala, Jiří (advisor)
This bachelor thesis is focused to possibilities of biometrics of dynamics signature. The first part is devoted to general explanations of basic concepts and standards for measuring effectiveness. Explains the problematics of processing characteristics of the signature. Descibes the equipment of the appropriate components for capturing the dynamic signature. The main section deals with testing abillities of verification of user and identification and testing the posibillities of deception devices. Presents design and implementation of program for identification. Records the progress and results of all performed tests.
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Algorithms of Electrical Drives State Estimation
Herman, Ivo ; Vavřín, Petr (referee) ; Václavek, Pavel (advisor)
This thesis deals with state estimation methods for AC drives sensorless control and with possibilities of the estimation. Conditions for observability for a synchronous drive were derived, as well as conditions for the moment of inertia and the load torque observability for both drive types - synchronous and asynchronous. The possibilities of the estimation were confirmed by experimental results. The covariance matrices for all filters were found using an EM algorithm. Both drives were also identified. The algoritms used for state estimation are Extended Kalman Filter, Unscented Kalman Filter, Particle Filters and Moving Horizon Estimator.
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