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Preparing teachers to work with gifted students
Balková, Veronika ; Kadrnožková, Monika (advisor) ; Marádová, Eva (referee)
The diploma thesis focuses on the preparation of teachers for work with gifted pupils at primary schools of mainstream education. The aim of the thesis is to describe possible educational practices and to analyze the methods of work that teachers can apply in the process of educating gifted pupils at a regular primary school. The theoretical part of the thesis defines the concept of giftedness, its models and classification. Furthermore, the theoretical part focuses on the identification of gifted individuals, especially teachers, on basic approaches in the education of gifted pupils and also focuses on the education of teachers for working with gifted pupils. The research part of the thesis describes the research itself, which is solved by a mixed design of quantitative and qualitative approach. The quantitative research was carried out through a questionnaire survey and we used semi-structured interviews to collect data as part of the qualitative research. 81 respondents took part in the questionnaire survey and four respondents were subsequently contacted for semi-structured interviews. These were three teachers and one special educator working in a mainstream primary school. The results of the research show that teachers approach their work with gifted pupils responsibly, try to identify them...
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Bayesian approaches to adaptive system identification
Skalský, Ondřej ; ,, Straka Ondřej (referee) ; Dokoupil, Jakub (advisor)
The paper deals with Bayesian identification of time variant normal regression models and provides four key algorithms. The first two algorithms are designed for the online regularized identification of a single regression model. Absence of the time evolution model is solved in both algorithmizations by a data-informed forgetting technique. The choice of the forgetting factor in the first algorithm is performed using Variational Bayesian approximation. The second algorithm determines the value of the forgetting factor by statistical decision making. The second pair of algorithms treats the problem of time evolution of parameters as a sequence of switching normal regression models. In both of these offline algorithms which are based on the Variational Bayesian approximation, both the inference of the bank of model parameters and the activities of these models over the time of the experiment are iteratively performed. The actual number of models forming this bank is determined automatically. The difference between these algorithms lies mainly in the noise properties of the switched models. All four algorithms are tested on a real system and in simulations. The paper is complemented by a short introduction to the Bayesian world, which presents the essential statistical techniques that are used. For completeness and continuity with the aforementioned algorithms, the offline and online identification of a time invariant normal regression model is also described.
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Yeasts and wine
Palíková, Petra ; Vadkertiová, Renata (referee) ; Vránová, Dana (advisor)
This thesis deals with isolation and identification wine yeasts from grapes and must. For analysis was used white wine Sauvignon that was grown and producing after needs ecological agriculture. Remove samples were processed in laboratory and by the help of dilution method were obtained pure culture isolated yeasts. In the following step, by the application of commercial kit UltraCleanTM Microbial DNA Isolation Kit we were able to isolated individual DNA that it was used to the next analysis. Isolated DNA was amplification by PCR method with ITS1 and ITS4 primers. PCR products were detected on agarose gel. Amplification samples were chopped five restriction endonucleases: HaeIII, HinfI, TaqaI, AluI and MseI. Chopped DNA was detected by the same way as PCR products and it was compared with restriction patterns of collection yeasts. In the next step it was compared genetic similarity of isolated yeasts by using BioNumerics software. As a criterion it was used Pearson coefficients and UPGMA clastering analysis. The result is dedrogram of genetics similarity isolated yeasts.
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Laboratory device with temperature control
Telecký, Jakub ; Škrabánek, Pavel (referee) ; Němec, Zdeněk (advisor)
This work deals with regulation and procedures that can be used for this. The theoretical part therefore presents the basic concepts of automation and controllers. The main part is the practical part. The purchased system consists of a regulated system, which must be set up correctly. Using system identification and known procedures, sample examples of how to best set the controller are compiled. The result is a sample laboratory task that automation students can try and gain experience with methods of setting up the controller.
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Adaptive controllers with principles of artificial intelligence and its comparison with classical identifications methods
Vaňková, Tereza ; Dokoupil, Jakub (referee) ; Pivoňka, Petr (advisor)
Master’s thesis is focused on the adaptive controllers. The first theoretic part mainly describes the parametric identification, which belongs to the most important part of the adaptive controller’s structure. Classical identification methods (the recursive least squares methods) are firstly mentioned and afterwards the identification methods based on the neural network (the Marquardt-Levenberg algorithm and the new identification algorithm NIA inspired by the neural networks) are described. At the conclusion of the theoretic part there are mentioned the algorithm of the adaptive controller’s tuning which uses the identification parameters (the modified Z-N method) and the tested types of adaptive controllers. Particular results, which were found out by verifying of the adaptive controllers on the simulation and real models, are contained in second, the practical, part of the thesis. Finally, achieved results are compared with the classical discrete PID controller and with the adaptive controller of the B&R company.
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Biometry based on retinal videosequences
Oweis, Kamil ; Odstrčilík, Jan (referee) ; Kolář, Radim (advisor)
The biometric methods are the most advanced methods for recognition and verification of person identity. These methods are quite fast, safe and applicable in different situations. In this thesis is used a set of retinal scans taken with a video-ophtalmoscope. These pictures are further modified for next processing, first of all by convertion into black-andwhite binary image, in some cases was after that used a binary matrix for description of image. Afterwards was suggested comparison method of images from the database with reference image of the retina: method of overlap and shift. It was tested a set of blackand-white and then also grey images. All method calculations was realized in program Matlab of which outcome was determination of the most congruent image with reference image and evaluation of overall program accuracy.
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Jaroslavice – place in the landscape
Májek, Jan ; Veselá, Markéta (referee) ; Foretník, Jan (advisor)
The work is aimed at the center of the village, which is a square that, in size comparable to that of the Square of Freedom in Brno, is an exhibition of problems: considerable deterioration of the building fund, underground use of the public space, which is moreover unreadable and unreachable. The proposed solution divides the area of the square into three smaller public spaces that have a different character and function. Mariánské námětí is the torso of the existing one, which has been earmarked for the building of a new municipal office and library, is characterized by town houses and the location of services and public amenities. The second area is a semi-detached cottage. It is dominated by walnuts and water. The proposed buildings are oriented towards the library and the wine house. The third such defined area is the Wine Market, which is the crossroads, the scattered area of the surrounding houses, like a school, shops, or wine house. A large part of the COOP building has a sports complex with a halo and a swimming pool. There are solved especially the buildings of the town hall with a library and a wine house.
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RFID acces system realization
Buchal, Adam ; Matyáš, Pavel (referee) ; Marada, Tomáš (advisor)
This bachelor thesis deals with the use of RFID technology in access control systems in intelligent buildings. The study also describes the principle functions of RFID readers and the list of frequencies at which the technology works. The next section is dedicated to the design of the access system with iClass R10 operating at a frequency of 13.56 MHz, the whole system is controlled by a microprocessor ATmega8. The board design is described program for creating electronic schematics EAGLE. The try-out functionality and basic programming functions used kit EVB 4.3 The last section describes the procedure for the production of printed circuit boards photo path including drawings and schemes and also describes the program controlling the entire device using the block diagram.
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Least-Squares Method in System Identification
Matějka, Jiří ; Bělohradský, Petr (referee) ; Máša, Vítězslav (advisor)
This bachelor thesis deals with the description of the least squares method and its application in system identification of dynamic processes. It contains mathematical derivation of least squares method and basic principles of system identification. It describes parametrization of an mathematical model of experimental unit for biomass combustion.
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