The topic Modern Approaches to Designing Electrical Equipment with a Focus on Railway Construction responds to the decision of the Government of the Czech Republic to introduce the BIM method for government over-the-counter contracts from 1 January 2022. The government evaluated the BIM method as an effective tool for digitizing the construction industry. The diploma thesis deals with the method of designing high-current equipment, technologies and distribution on railways according to this new method. The work summarizes information about the present method of design, used high-current electrical equipment on the railway, the near and distant future of railway operation, the organization of administration and maintenance of equipment. It discusses the principle of the BIM method and basic software solutions supporting design activities according to this new method. The Promis.e software published by Bentley is also described in detail, which supports the design of electrical equipment for linear structures according to this method. The BIM method is a means of fulfilling the essence of Construction 4.0. It uses uniform data formats, a common data environment, working with non-graphic information. In the second part of the diploma thesis, the drawing documentation for the sample project of high-current distribution of the railway station was prepared. It was first created using AutoCAD software. After that, the sample project demonstrates the basic principles of the BIM method using Promis.e software. Furthermore, this project is evaluated, both methods of design are compared. The procedure of introducing the BIM method for the design of electrical equipment in a specific design company is proposed and other possible steps in working with the Promis.e software are discussed. The way of creating a and adding element libraries is described. At the end of the diploma thesis it is stated that to successfully master the design work according to the BIM method, it is necessary to have experience with design work in the field, know the principles of the BIM method, choose a suitable software solution, continuously and thoroughly manage these tools and train staff. Under these conditions, it will be possible to make full use of the potential of the BIM method.

The thesis focuses on modern methods of traffic sign detection and traffic lights detection directly in traffic and with use of back analysis. The main subject is convolutional neural networks (CNN). The solution is using convolutional neural networks of YOLO type. The main goal of this thesis is to achieve the greatest possible optimization of speed and accuracy of models. Examines suitable datasets. A number of datasets are used for training and testing. These are composed of real and synthetic data sets. For training and testing, the data were preprocessed using the Yolo mark tool. The training of the model was carried out at a computer center belonging to the virtual organization MetaCentrum VO. Due to the quantifiable evaluation of the detector quality, a program was created statistically and graphically showing its success with use of ROC curve and evaluation protocol COCO. In this thesis I created a model that achieved a success average rate of up to 81 %. The thesis shows the best choice of threshold across versions, sizes and IoU. Extension for mobile phones in TensorFlow Lite and Flutter have also been created.

Theme of this master’s thesis is design of software support for business intelligence. Design is realized in cooperation with corporation ZZN Pelhřimov a.s. Introduction is focused on theoretical description of business intelligence and datamining and also on development environment in which is project designed. Corporation is characterised also in introduction. Main part contains data collecting and definition of individual modules. In conclusion of this thesis will be several types of analysis from collected data and then according to these analysis, we can draw measures to improve current state of corporation.

This Master's thesis deals with the principles of the data mining process, especially with the mining  of association rules. The theoretical apparatus of general description and principles of the data warehouse creation is set. On the basis of this theoretical knowledge, the application for the association rules mining is implemented. The application requires the data in the transactional form or the multidimensional data organized in the Star schema. The implemented algorithms for finding  of the frequent patterns are Apriori and FP-tree. The system allows the variant setting of parameters for mining process. Also, the validation tests and efficiency proofs were accomplished. From the point of view of the association rules searching support, the resultant application is more applicable and robust than the existing compared systems SAS Miner and Oracle Data Miner.

At the beginning, the work describes DNS and SSL/TLS protocols, it mainly deals with communication between devices using these protocols. Then we'll talk about data preprocessing and data cleaning. Furthermore, the thesis deals with basic data mining techniques such as data classification, association rules, information retrieval, regression analysis and cluster analysis. The next chapter we can read something about how to identify mobile devices on the network. We will evaluate data sets that contain collected data from communication between the above mentioned protocols, which will be used in the practical part. After that, we finally get to the design of a system for analyzing network communication data. We will describe the libraries, which we used and the entire system implementation. We will perform a large number of experiments, which we will finally evaluate.

This master thesis deals with design and implementation of betting agent. It covers issues such as theoretical background of an online betting, probability and statistics. In its first part it is focused on data mining and explains the principle of knowledge mining form data warehouses and certain methods suitable for different types of tasks. Second, it is concerned with neural networks and algorithm of back-propagation. All the findings are demonstrated on and supported by graphs and histograms of data analysis, made via SAS Enterprise Miner program. In conclusion, the thesis summarizes all the results and offers specific methods of extension of the agent.