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Identification and education of gifted children in kindergarten
Křivanová, Denisa ; Kadrnožková, Monika (advisor) ; Marádová, Eva (referee)
The bachelor thesis focuses on the issue of identification of a gifted child in kindergarten and pedagogical procedures used by the teacher in subsequent work with a gifted child. The aim of the thesis is to find out how kindergarten teachers contribute to the development of gifted children and the full use of their potential. The theoretical part of the thesis in the introduction pays attention to the general introduction to giftedness, then it deals with the characteristics of gifted children and their subsequent identification. In the conclusion, the legislative documents related to the education of gifted children are presented, followed by the possibilities of development and education in the kindergarten environment and the essentials of the teacher's work with gifted children. The empirical part of the thesis analyses the manifestations of potential giftedness in children in kindergarten and aims to identify the pedagogical methods applied when working with gifted children. The research was conducted using a mixed-methods approach, specifically a sequential combining design (QUAL-quan scheme) that employed a case study design and a questionnaire survey. The main cases consist of two kindergarten teachers who, in the course of their profession, have encountered and had the opportunity to...
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Složení snímku prstu s viditelným krevním řečištěm.
Pekárek, Jakub ; Semerád, Lukáš (referee) ; Rydlo, Štěpán (advisor)
This thesis describes a method for creating a composite image with a visible bloodstream. The bloodstream is detected by the Maximum Curvature algorithm. After that it was experimented with detecting and matching keypoints via algorithms SIFT and ORB. However, the resulting matches from these algoritms were not good enough, therefore the keypoints have to be manually assigned. From these keypoints, an estimated tranformation matrix was created. This matrix was then used for connecting two images. A cycle of assigning keypoints and connecting images is repeated even for newly created images. The final composite image with a visible bloodstream is created after connecting last two images. This composite image can be further used for verification or identification people.
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Digital twin of the heat exchanger station
Vancl, Radim ; Mihálik, Ondrej (referee) ; Husák, Michal (advisor)
The tesis deals with identification and realization of the simulation model of the exchange station. The theoretical part describes the concept of a digital twin and the components that are used in the model of the heath exchanger station. The practical part is divided into two parts. The first part describes the collection of data from the exchange station model. The second part describes the design of the model and the simulation of the exchanger station.
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Possibilities of pathogen identification using MALDI-TOF mass spectrometry
Fusková, Lucie ; Strouhalová,, Dana (referee) ; Šalplachta, Jiří (advisor)
This bachelor thesis focuses on the utilization of MALDI-TOF MS technique for the identification of plant pathogens, specifically targeting molds of the genus Fusarium affecting cereals. Molds pose a serious threat to agriculture and the food industry. Current identification methods are time-consuming and often fail to provide precise results. Mass spectrometry offers a rapid and reliable alternative. Identification via MALDI is characterized by its high accuracy, sensitivity, and speed compared to commonly used methods. The thesis addresses the optimization of the method using cultured fungal strains and the identification of molds in infected cereals. The results of the study demonstrate the potential of utilizing MALDI technique for the identification of plant pathogens.
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Modelling and Simulation of the Longitudinal Flight Control
Zavadil, Dominik ; Jalovecký, Rudolf (referee) ; Jirgl, Miroslav (advisor)
This bachelor thesis focuses on the design of a longitudinal flight model of an aircraft, identification of its parameters and validation of the obtained model. The theoretical part describes the modelling of longitudinal flight using equations of motion, which are then linearized and transformed into a state-space representation. In the practical part, data measured on a flight simulator were used to identify two models and for their subsequent validation. A joystick emulated by an Arduino Leonardo board was used to generate input signals in the process of acquiring the validation data. Finally, the validated models were used to build a simulation model that can be used to determine the response of the aircraft to different types of input signals.
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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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