|
|
Monitoring of GSM network
Trávníček, Tomáš ; Krajsa, Ondřej (referee) ; Koutný, Martin (advisor)
This master’s thesis is focused on problems of monitoring GSM network using a mobile phone. Problems are analyzed on a theoretic basis with a description of available network parameters. Then the thesis offers a description of existing application environments providing a user with given data about the network. The main part of this work describes a development of application compiling queue data from mobile network and GPS, and creates output data illustrating signal strength in selected areas. The work also includes extensive measuring in select areas together with an evaluation of the processed data.
|
|
|
Stress-strain analysis of a bar systems using finite element method
Fodor, Ján ; Fuis, Vladimír (referee) ; Návrat, Tomáš (advisor)
The aim of this bachelors thesis is primarily programming of algorithm for solving bar systems (i.e. trusses) using finite element method. Programming language Python and his modules NumPy, SciPy and Matplotlib are used . The results thus obtained are verified in the program ANSYS . This work also gives a brief overview of commercial and freely accessible scientific software. Finite Element Method is a numerical method used for solving technical problems in mechanical engineering, structural engineering, electrical engineering and related fields.
|
|
| |
|
|
Robot model in the Python
Fikar, Josef ; Věchet, Stanislav (referee) ; Marada, Tomáš (advisor)
This work describes creation of simulation environment for mobile robot, which is designed to take part in Micromouse competition. Another solved issue is creation of communication interface and its control application, to provide combination between both robot and control program. Simulation is designed to serve as testing environment for development of tracking algoritm, which will guide robot through the defined labyrinth.
|
|
|
Modul pro vyhledávání nevhodných obrázků
Žurek, Aleš
This work is focused on classifying photos which are uploaded on dating service Lidé.cz. Pictures are classified into two categories based on whether they contain pornographic content or not. Convolutional neural networks are used for classification and these neural networks are taught by using Caffe framework. The results of this work fulfilled all requirements from Seznam.cz, a.s. company. Classification accuracy of the best model on created testing dataset with 5643 photos was 93,64 % and the time for classification of photography is low enough to perform classification in real time. The first part contains an analysis of the current approaches for image classification. The second part focuses on the analysis and draft of the solution and the third part describes the implementation of the solution and the testing of neural networks models.
|
|
|
Interaktivní průchod obcí Borkovany před rokem 1970
Starý, Miroslav
Starý, M. Interactive Walkthrough Village Borkovany Before 1970. Bachelor thesis. Brno: Mendel University, 2015. Thesis analyzes the tools for creating 3D scenes and tools for creating interactions, gradual modeling and programming of interactive walkthrough village Borkovany before 1970.
|
|
|
Hledání sémantické informace v textových datech s využitím latentní analýzy
Řezníček, Pavel
The first part of thesis focuses on theoretical introduction to the methods of text mining -- Information retrieval, classification and clustering. LSA method is presented as an advanced model for representing textual data. Furthermore, the work describes source data and methods for their preprocessing and preparation used to enhance the effectiveness of text mining methods. For each chosen text mining method there are defined evaluation metrics and used already existing, or newly implemented, programs are presented. The results of experiments comparing the effects of different preprocessing type and use of different models of the source data are then demonstrated and discussed in the conclusion.
|
|
|
Detekce anomálií v datech výzkumu PROSO
Šormová, Hana
The thesis deals with algorithms for detecting anomalies in the data collected by the Problem Solving Tutor research. In the theoretical part, the author introduces the term of anomaly, the ideas of the PROSO research and a detailed overview of existing algorithms to detect anomalies. In the practical part, selected algorithms are implemented. Real outputs and results as well as recommendations to a user are presented in this part, and the chapter is supplemented by a number of graphs. The implemented algorithms are also compared to existing data mining software. An example of working with the data mining tools, applied to the data coming from PROSO, and explanation of their outputs is also part of the thesis. In the summary, the appropriate methodology for behavior analysis and anomaly detection is determinied.
|
|
| |
|
| |
guest ::
