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Artificial Intelligence in Bang! Game
Kolář, Vít ; Lodrová, Dana (referee) ; Orság, Filip (advisor)
The goal of this master's thesis is to create an artificial intelligence for the Bang! game. There is a full description of the Bang! game, it's entire rules, player's using strategy principles and game analysis from UI point of view included. The thesis also resumes methods of the artificial intelligence and summarizes basic information about the domain of game theory. Next part describes way of the implementation in C++ language and it's proceeding with use of Bayes classification and decision trees based on expert systems. Last part represent analysis of altogether positive results and the conclusion with possible further extensions.
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Measurement of ECG signal for TWA analysis
Řezáč, Petr ; Vítek, Martin (referee) ; Kozumplík, Jiří (advisor)
The thesis deals with possibilities of using wavelet transform in the field of surface electrocardiogram (ECG) signals denoising and ECG signals measuring. Several algorithms have been used to detect and estimate T-wave alternans (TWA), such as spectral method (SM), Poincaré Mapping (PM) or correlation method (CM). T-wave alternans, also called repolarization alternans, is a phenomenon appearing in the electrocardiogram as a consistent fluctuation in the repolarization morphology on every-other-beat basis. Electrical TWA has been recognized as a marker of electrical instability, and has been shown to be related with patients at increased risk for ventricular arrhytmias. Presence of TWA has been reported in a wide range of clinical and experimental situations including long QT syndrome, myocardial infarction, angina pectoris, acute ischemia, etc. Projected methods of detection TWA are realized in Matlab software, and they are experimentally verified on real ECG signals from the European ST-T Database.
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Estimation of Respiration Activity from ECG Using Mechine Learning
Ondrejková, Eliška ; Vítek, Martin (referee) ; Plešinger, Filip (advisor)
This Bachelor thesis deals with methods to estimate respiration activity from ECG. For a better understanding of a subject, the anatomy and physiology of the respiratory and cardiovascular systems are described. Furthermore, several estimation methods are explained as well. A public dataset of ECG signals read from polysomnography was used in the practical part. An algorithm for estimation was implemented in the programming language Python using the PyTorch library. Finally, results are discussed and compared to other methods.
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Property valuation for mortgage loans in the Czech Republic
Kovářová, Petra ; Bejšovec, Jaroslav (referee) ; Staněk, Roman (advisor)
The subject of this bachelor's thesis focuses on an assets valuation, especially on residential real estate for banking purposes. The thesis is devided into two parts. The first part explains the theoretical concepts which are closely linked to an asset's evaluation, while the second part focuses on the practical areas which presents an expert opinion based on comparative methods when the price of a specific property is determined.
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Application of Agile Methodology in a Company
Bednařík, Jaroslav ; Truong, Majka (referee) ; Doubravský, Karel (advisor)
This bachelor thesis is aimed at agile project management, primarily at using Scrum as one of the agile practices. The theoretical part describes each and every active and passive part of Scrum during project management. The practical part describes concrete application of Scrum practices on software project for a language school, in real environment.
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Perception of vehicle speed by driver
Formanová, Barbora ; Bradáč, Albert (referee) ; Bilík, Martin (advisor)
This diploma thesis deals with the issue of perception of vehicle speed by the driver, without the possibility of checking the vehicle's tachometer. The theoretical part defines the basic concepts of vehicles, including the design of passenger cars. Furthermore, the work is devoted to the field of human perception, which is also focused on perception from the perspective of the driver, gender, and driving experience. The practical part deals with the design, preparation and implementation of experimental measurements. Subsequently, the evaluation of the measured data is performed in terms of selected factors that could affect the subjective estimate of the driver's speed. The conclusion of this work is also devoted to proposals for possible modifications of the measurement methodology for further use.
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Real Estate as the Object of the Right of Inheritance within an Inheritance Procedure
Rolencová, Tereza ; Mercl, Jan (referee) ; Telec, Ivo (advisor)
The thesis focuses on the settlement of real estate in probate proceedings, which describes the various stages of progress, účastků relationship management and sharing of evidence that are part of the process. The theoretical part of chapter three model situations concerning the valuation of real estate appraisal expert, real estate price trends, and the settlement of a member's interest in cooperative housing, both in terms of marital property and from a more heirs.
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Creep-fatigue models for solder joints reliability prediction
Novotný, Václav ; Šandera, Josef (referee) ; Švecová, Olga (advisor)
This project is focused on utilization of creep-fatigue models for estimate of reliability lead-free solder joints. It describes basic groups of creep-fatigue models, their usage for estimate of reliability solder joint, advantages and disadvantages. There are discusssed properties of single models, which are on different base. Purpose of this project is find optimal creep-fatigue model for lead-free solder and devise a test structure to which the model will be verified. Results are compared with theoretical calculations.
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Unsupervised learning
Kantor, Jan ; Sáblík, Václav (referee) ; Honzík, Petr (advisor)
The purpose of this work has been to describe some techniques which are normally used for cluster data analysis process of unsupervised learning. The thesis consists of two parts. The first part of thesis has been focused on some algorithms theory describing advantages and disadvantages of each discussed method and validation of clusters quality. There are many ways how to estimate and compute clustering quality based on internal and external knowledge which is mentioned in this part. A good technique of clustering quality validation is one of the most important parts in cluster analysis. The second part of thesis deals with implementation of different clustering techniques and programs on real datasets and their comparison with true dataset partitioning and published related work.
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