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Computational prediction of operating parameters of cogeneration units
Kašpar, Jakub ; Daxner, Ján (referee) ; Jegla, Zdeněk (advisor)
The focus of this work is on gas-fired combined heat and power (CHP) units with internal combustion engine. The aim is to present and analyse a prediction model with subsequent modification and experimental validation. This is preceded by a proper theoretical introduction to CHP units. First, the role of CHP in the transformation of the contemporary energy sector, which is under increasing demands, is outlined. Next, the types of CHP units are briefly introduced, including their advantages. This is followed by a detailed description of their design together with the factors influencing their operating parameters. For the understanding of the subject, emphasis is placed on the description of analytical relations in the field of thermomechanics and physical chemistry. Furthermore, the modelling of CHP is approached based on knowledge gained during the study and work experience in the field of CHP units. The final adjusted predictive model shows deviations of up to 12 % with respect to the nominal parameters. When validated with experimental data, it shows a deviation of up to 31,1 %. In general, the model is not suitable for accurate prediction of operating parameters. However, it has been successfully validated in determining the trend of the dependence of the operating parameters on the hydrogen concentration in the fuel.
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Mobile App for Electronical Evidence of Medical Devices Documentation
Maťašová, Kristýna ; Sekora, Jiří (referee) ; Kašpar, Jakub (advisor)
The Diploma thesis introduces whole documentation of medical devices, laws and legislation related to this topic. It focuses specifically on the problematics of the registration of documents at the medical workplace. Diploma thesis also deals with the design and the implementation of a functional system for electronical evidence of documentation of medical devices, taking into account the practical requirements of employees of medical workplace. The output of the practical part of the thesis is a multiplatform application developed by Flutter toolkits in the development environment Android Studio.
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Epidemiological modeling of Covid-19
Schubert, Richard ; Kašpar, Jakub (referee) ; Mézl, Martin (advisor)
This thesis deals with the continuous epidemiological deterministic compartmental models and the COVID-19 pandemic modeling distinctive features. The effect of different probability distributions of individuals stay in compartments is studied numerically in relation to basic reproductive number and the final size of the epidemic, respectively. New model for a retrospective analysis of the first half of 2020 northern Italy epidemiological data is proposed. The model parameters estimation is performed using minimisation of weighted sum of squared residuals and the search through parameter space with BFGS algorithm implementation.
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Detection of similarity in program codes
Maťašová, Kristýna ; Vítek, Martin (referee) ; Kašpar, Jakub (advisor)
The Bachelor introduces the concept of plagiarism and possible kinds of plagiarism. It focuses on the problem of detecting the similarity of source codes, especially with graphical interfaces in the MATLAB environment. It also describes already existing detectors. The practical part of thesis is focused on finding appropriate flags for detection of similarity in source codes and introduces the metric of detected flags. It also describes the internal logic of created detector of similarity and discusses the results of its testing.
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Basic fingerprint liveness detection
Horák, Tomáš ; Smital, Lukáš (referee) ; Kašpar, Jakub (advisor)
Biometric data is unique, safe and often used to protect information. Even in some cases, detectors can be fooled, and therefore liveness is needed to check. This work focuses on the basic recognition of the liveliness of the fingerprint. Only one finger image is used. For perfect recognition, you need to compare the prints, so have more than one print, and that's why this detection is very demanding. Pre-processing was done with a binary segmentation mask. Methods using gray scale ratios, mean, standard deviations or histogram equalization were also used. All the methods were done on the LivDet 2011 database, in the Matlab environment and the goal was to recognize a live fingerprints from a false ones.
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Plagiarism detection in programme codes
Skoupilová, Alena ; Vítek, Martin (referee) ; Kašpar, Jakub (advisor)
The main goal of this thesis is to introduce the meaning of plagiarism and its types and occuration in academic field in form of textual plagiarism and mainly source-code plagiarism. Thesis also introduces principals and types of source-code plagiarism detection and introduces existing detecting tools. A detector for computing source-code similarity based on detection and counting chosen attributes is being realized and described. Reability of the detector is tested within students’ projects database.
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Plagiarism detection of program codes
Kašpar, Jakub ; Harabiš, Vratislav (referee) ; Vítek, Martin (advisor)
Main goal of this work is to get acquainted with the plagiarism problem and propose the methods that will lead to detection of plagiarism in program codes. In the first part of this paper different types of plagiarism and some methods of detection are introduced. In the next part the preprocessing and attributes detection is described. Than the new method of detection and adaptive weights usage is proposed. Last part summarizes the results of the detector testing on the student projects database
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Basic fingerprint liveness detection
Horák, Tomáš ; Smital, Lukáš (referee) ; Kašpar, Jakub (advisor)
This work focuses on recognizing fingerprints liveness based purely on software-methods evaluating symptoms from just one fingerprint image. At first in this work was described the issue of biometry as such, comparing the advantages and disadvantages of such systems. Next part deal with more detailed process of fingerprint biometry including papillary lines and overall fingerprints as such. In the next phase, the problems and utilization of both software and hardware methods are discussed, including principles of individual approaches. This part is followed by a selection of used fingertip symptoms. This is followed by the practical part and the LivDet 2011 database, which was used for finger recognition. In the practical part is also described the used neural network capturing minor differences in fingerprints according to 13 symptoms.
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