This thesis is focused on cybercrime, acquisition of evidence and development of a platform for retrieval, analysis and archiving web site data. The goal is to satisfy the investigators and security experts of the Czech police. The aim is to provide an open source platform that will be freely disseminable and in compliance with the requirements of legal institutions. The output of the thesis is two platform versions - full-fledged, fulfilling all the requirements set out in the diploma thesis and a light version for the police investigators of the Czech Republic.

The master's thesis' objective is to study basics of high-frequency trading, especially trading at foreign exchange market. Project deals with foreign exchange data preprocessing, fundamentals of market data collecting, data storing and cleaning are discussed. Doing decisions based on poor quality data can lead into fatal consequences in money business therefore data cleaning is necessary. The thesis describes adaptive data cleaning algorithm which is able to adapt current market conditions. According to design a modular plug-in application for data collecting, storing and following cleaning has been implemented.

The new Health 4.0 concept brings the idea of combining modern technologies from field of science and technology with research in healthcare and medicine. This work realizes a system of secured actigraph data transfer and preprocessing based on the concept of Health 4.0. The system is successfully designed, implemented, tested and secured. With the help of a non-invasive method of monitoring the movement and temperature of the subject using the GENEActiv actigraph allows the system to securely transfer, process and evaluate the subject's sleep data using the machine learning algorithm XGBoost. The proposed system is in accordance with the valid law of the Czech Republic and meets legal requirements.

This masters thesis continues in the work of two previous theses dealing with machine understanding of maps and modelling terrain. The final program also has to be able to interpret position data from dataloggers and integrate it with the loaded map. The goal for the program is to serve during training of Czech orienteering runners. Position measurement and storage is researched first. Also researched are map markers used to define the terrain. Afterwards, past approaches are evaluated, including identification of most severe issues hindering the usage in real world applications. Many improvements are proposed, for example methods to remove noise in the input data, or to improve processing speed. Lastly, a set of possible improvements to the original applications are made, i.e. methods for denoising the input data or for speedup of the image processing. Proposed improvements are then implemented, the most impactful being processing speed and contour segmentation improvements.

The focus of this thesis is development of an electronic subsystem for reduced gravity impact simulator. The research part of this thesis firstly covers methods used for simulation of microgravity or reduced gravity and compares them. Another part of research focuses on three selected potential approaches to creating the electronic subsystem for this device. The second, practical, part of this thesis describes the design and development of the electronic subsystem. The foundation of the electronic subsystem is a control unit which has been developed on the basis of an STMicroelectronics microcontroller. Using the control unit, the electronic subsystem measures pressure, position, acceleration and force in the system. Another task of the control unit is control of a stepper motor. Integration of individual elements into the electronic subsystem is described both in terms of software and hardware. Furthermore, a graphic user interface program for PC has been developed as a means to interact with the system. In the final part of the thesis, the operation of the electronic subsystem is described and lastly, the electronic subsystem is evaluated.

This diploma thesis deals with the use of freely available data sets to estimate the signal strength in localities where measurements are missing. This work aimed to use interpolation and regression methods to estimate as accurately as possible the possible signal coverage in a given locality. First, data sets were analyzed, based on results, a test model for various methods has been created. The methods with the best results have been implemented on real data sets containing thousands of measurements. At the end of the work, accurate estimates are commented and circumstances to reduce the deviation of the measured and calculated values are specified.

This diploma thesis deals with the detection of the current floor during elevator ride. This functionality is necessary for robot to move in multi-floor building. For this task, a fusion of accelerometric data during the ride of the elevator and image data obtained from the information display inside the elevator cabin is used. The research describes the already implemented solutions, data fusion methods and image classification options. Based on this part, suitable approaches for solving the problem were proposed. First, datasets from different types of elevator cabins were obtained. An algorithm for working with data from the accelerometric sensor was developed. A convolutional neural network, which was used to classify image data from displays, was selected and trained. Subsequently, the data fusion method was implemented. The individual parts were tested and evaluated. Based on their evaluation, integration into one functional system was performed. System was successfully verified and tested. Result of detection during the ride in different elevators was 97%.

This thesis deals with questions which are related to the creation of case studies for statistical data analysis using applied computer technology. The main aim is focused on showing the solution of statistical case studies in the field of electrical engineering. Solved case studies include task, exemplary solution and conclusion. Clarity of explained theory and the results understanding and interpretation is accentuated. This thesis can be used for practical education of applied statistical methods, it’s also supplemented with commented outputs from Minitab. Trial version of Minitab has been used for solution of case studies.

This master’s thesis is devoted to safe operating remote station. The security of data and electronic services is very important nowadays because the number of attacks to computer networks is increasing. The security of network services and information can be provided in several different ways which can be combined. The basic security mechanisms are authentication and data encryption. Both these methods are included to the implementation of operating remote station which is the main part of this work. The user of the resulting application will have a choice from several methods of authentication and data encryption. Whole traffic is encryption from the transfer of view of remote desktop to the transfer of files. Safety factor depends only up to the user consequently on that what type of authentication and encryption the user choose. The thesis also deals with analysis of implemented safely functions. Brings the results of analysis of effect of encryption algorithms to data connection of remote desktop.

This work explains to reader the difficulty of production scheduling and why is much advantageous using proper system for this work. Next he reads about complexity of production management and about necessity of linkage between all levels of company’s IT systems. We are going to use three different approaches for getting Siemens controller’s data out and for two of them we are going to describe general procedure, how we gets a data files, which are openable in classic table processor like MS Excel and which contain user’s choosen variables including their actual values. Finally reader will be familiarized with SimRead program, which serves for reading variable’s values in combination with Simatic standart communication blocks.