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Analysis of Classification Methods
Juríček, Jakub ; Zendulka, Jaroslav (referee) ; Burgetová, Ivana (advisor)
This work deals with the classification methods used in the knowledge discovery from data process and discusses the possibilities of their validation and comparison. Through experiments, the work focuses on the analysis of four selected methods: Naive Bayes classificator, decision tree, neural network and SVM. Factors influencing basic characteristics such as training speed, classification speed, accuracy are examined. A part of the thesis is a desktop application, which is a tool for training, testing and validation of individual methods. Eleven reference data sets are selected for experimental purposes. At the end of this work experimental results of comparison and observed characteristics of classification methods are summarized.
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Probabilistic discrete model of concrete fracturing
Kaděrová, Jana ; Lehký, David (referee) ; Konečný,, Petr (referee) ; Eliáš, Jan (advisor)
The thesis presents results of a numerical study on the performance of 3D discrete meso–scale lattice–particle model of concrete. The existing model was extended by introducing the spatial variability of chosen material parameter in form of random field. An experimental data from bending tests on notched and unnotched beams was exploited for the identification of model parameters as well as for the subsequent validation of its performance. With the basic and the extended randomized version of the model, numerical simulations were calculated so that the influence of the rate of fluctuation of the random field (governed by the correlation length) could be observed. The final part of the thesis describes the region in the beam active during the test in which the most of the fracture energy is released in terms of its size and shape. This region defines the strength of the whole member and as shown in the thesis, it does not have a constant size but it is influenced by the geometrical setup and the correlation length of the random field.
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Automatic Photography Categorization
Veľas, Martin ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This thesis deals with content based automatic photo categorization. The aim of the work is to create an application, which is would be able to achieve sufficient precision and computation speed of categorization. Basic solution involves detection of interesting points, extraction of feature vectors, creation of visual codebook by clustering, using k-means algorithm and representing visual codebook by k-dimensional tree. Photography is represented by bag of words - histogram of presence of visual words in a particular photo. Support vector machines (SVM) was used in role of classifier. Afterwards the basic solution is enhanced by dividing picture into cells, which are processed separately, computing color correlograms for advanced image description, extraction of feature vectors in opponent color space and soft assignment of visual words to extracted feature vectors. The end of this thesis concerns to experiments of of above mentioned techniques and evaluation of the results of image categorization on their usage.
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Mobila Application Supporting Time Orientation for People with Autism
Deák, Jaromír ; Chrápek, David (referee) ; Beran, Vítězslav (advisor)
The aim of the project is to design graphical user interface, which helps autistic people with time orientation. The devised user interface follows the rules of Structured education. The main components of the mobile application are mobile schedule and digital clock accompanied by a story. Final user interface was tested by real users, who used the experimental application. Developed experimental application has been used for testing by real users. The tests offer important result: under the supervision, the autistic users are able to utilize the application. The utilisation of clock accompanied by a story is partly verified so far. The important finding is, that after some training, the designed and developed application is exploitable for autistic people.
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Application for Outlier Detection
Siladi, František ; Bartík, Vladimír (referee) ; Burgetová, Ivana (advisor)
The goal of this work is to investigate methods for outlier detection and to create an application which is able to correctly identify these values using individual methods or combinations of outlier detection methods. Another goal of the application is to clearly display the results of outlier detection and then visualize them in 2D or 3D space. The work also includes experiments on selected data sets, which are adapted to outlier detection and on automatically generated sets. The application and experiments were created in Python and Qt for Python was used to create the graphical user interface.
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Automatic Photography Categorization
Veľas, Martin ; Řezníček, Ivo (referee) ; Španěl, Michal (advisor)
This thesis deals with content based automatic photo categorization. The aim of the work is to experiment with advanced techniques of image represenatation and to create a classifier which is able to process large image dataset with sufficient accuracy and computation speed. A traditional solution based on using visual codebooks is enhanced by computing color features, soft assignment of visual words to extracted feature vectors, usage of image segmentation in process of visual codebook creation and dividing picture into cells. These cells are processed separately. Linear SVM classifier with explicit data embeding is used for its efficiency. Finally, results of experiments with above mentioned techniques of the image categorization are discussed.
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Searching for Similar 3D Models
Šťáva, Zdeněk ; Veľas, Martin (referee) ; Španěl, Michal (advisor)
This paper deals with searching similar 3D models in a database containing up to thousands of models. It focuses in particular on the comparison of existing descriptors used to describe 3D models and the subsequent evaluation of similarity between models. In particular, the descriptors Rotation Invariant Spherical Harmonics and 3D Zernike Descriptor are compared. It also describes the use of libraries to extract these descriptors and to design of various experiments with these libraries over several object databases. It examines the effect of scale, translation, deformation and rotation of different 3D models on the resulting descriptor and the overall accuracy of both selected methods. These results compare.
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Monitoring equipment for fermentation processes using the thermodynamic sensors
Jáneš, Pavel ; Búran, Martin (referee) ; Adámek, Martin (advisor)
The bachelor's thesis is focused on the design and implementation of a prototype device that is to be used to monitor fermentation processes in the food industry using thermodynamic sensors. The work contains a brief description of fermentation processes in the food industry and also possible methods of their monitoring. It also deals with the principle of the thermodynamic sensor and the description of the ESP32 microcontroller, which is the core of the prototype. Subsequently, it deals with the design of a prototype, including a program for ESP32, which is able to monitor the fermentation process using a pair of thermodynamic sensors and send the measured data to the cloud service ThingSpeak, to a personal computer or store them in Flash memory. Furthermore, the work deals with testing in experimental measurements, in which fermentation processes were monitored with the prototype.
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Analysis of training dataset influence on the efficiency of segmentation
Benešovská, Veronika ; Vičar, Tomáš (referee) ; Jakubíček, Roman (advisor)
Microbial structures are present in every living organism, so it is important to classify them for subsequent research of their origin and function. Bruker, s.r.o is developing the MBT Pathfinder for this purpose, which automates the transfer of colonies to MALDI plates, where the subsequent analysis of the sample takes place. Transferred colonies can be selected manually or using an algorithm that ensures automatic colony segmentation. This algorithm must be learned on a training set, which has huge influence on its accuracy. This work deals with measuring the influence of a dataset on the accuracy of this learning algorithm.
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Inquiry-based science club for children
Šulcová, Alena ; Čapek Adamec, Martin (advisor) ; Blažková, Veronika (referee)
This Bachelor thesis is dealing with the use of research-oriented teaching during hobbies as part of leisure activities in the field of natural sciences, especially chemistry. Nowadays is noticeable trend to start with research activities and building relation to natural and technical sciences at very young age of students. In the theoretical part the thesis describe principles and forms of research-oriented teaching and their realization, lecturer qualification conditions and work safety during the experiments in the hobby, development of students potential during younger school age, specifics of this students period and characterizes leisure activities in detail and their delineation in relation to formal education. Part of the practical part is a local survey of the accessibility of research-oriented clubs in the Polepy and Libochovice districts. The empirical part contains verified proposals for five meetings of the science-oriented research group for students of younger school age. The preparation allows both: face-to-face and distance form and indicates the availability and price budget of the material, the risks and the safety of working with tools, the clearly stated goal of each meeting and a detailed description of the students research-oriented activities, including questions and...
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