Fatigue assessment of welded joints using finite element methods is becoming very common. Research about new methods is being carried out every day that show a more accurate estimation of the fatigue life cycle than the previous ones. Some of these methods are investigated in this thesis for a thorough understanding of the weld fatigue evaluation process.The thesis study presents several methods as candidates for analysis of selected case studies for comparison. The sensitivity of methods towards FE model properties was studied. The ease of implementation for further automatization of the method was highly considered from the early stages of the project. A comparison study amongst feasible methods was then performed after analysis.The selected three case studies provided a wide range of difficulties in terms of geometry and loading and made them suitable for the methods to be evaluated. It should be noted that case studies only with fillet welds were considered during the literature study and analysis. Implementation of some methods on a case study where they have not previously been tested before gave a challenging task during the analysis phase. The proposed method after comparison and ranking of the methods based on several criteria such as accuracy, robustness, etc. was the hot spot stress method. The main advantages of this method are its low computational time, less complexity during both pre- and post-processing, and the ability to work for both solid and shell models.Finally, the report gives a walk-through of several functionalities of the post-processor tool built to enhance workflow for the hot spot based fatigue assessment of welds. Pseudo-codes for some functions of the tool are given for clarity. A summary of the workflow is presented as a flowchart. The outputs of the case studies were then evaluated using the tool and compared with the manual evaluation to check the effectiveness of the tool on different scenarios. The tool shows flexibility in handling different types of weld geometry with good agreement to the results obtained manually but only for welds lying on a flat surface. Some of the advantages of the tool are its capability to handle multiple welds simultaneously and the flexibility to the user in selecting the way the results are presented. Most of the postprocessing steps are automatized, while some require user inputs.

This diploma thesis deals with robotic automation of selected business process using RPA technology. Robotic automation tools are compared with each other and two are subsequently selected for development of the automation – the UiPath software and the AiVIRO library. Realized automations are compared and evaluated in conclusion.

This thesis investigates the automation of forensic analysis in identifying and categorising forensically interestingchanges across different versions of chat applications on Android platforms. The focus is primarily on thedifferentiation of Android Package Kit (APK) using reverse-engineering techniques to reconstruct the originalsource code and comparing the source code from two different versions of the APK. Given the rapid evolutionof chat applications and their frequent updates, it is crucial for forensic investigators to understand thesechanges to maintain the integrity of legal investigations.The research introduces a comprehensive framework leveraging the open-source tools, Ghidra and BinDiff, toautomate the decompilation and differential analysis of APK files. This approach not only makes forensicanalysis less complicated but also ensures that investigators can keep pace with the continuous updates in chatapplications.Tests on the system are conducted on various versions of the Signal chat application. These tests aim todemonstrate the proposed tool in capturing significant changes between APK versions, such as alterations inlogging mechanisms, database interactions, and the use of encryption and cypher libraries.The results confirm that the integration of Ghidra and BinDiff provides a solution for automated forensicanalysis, facilitating the identification of changes and categorisation of methods based on their forensicrelevance. The study shows that the tool can pinpoint modifications and structural changes, which are essentialfor forensic investigations.

The aim of this thesis was to learn and summarize basic information about IoT systems, which protocols are used and introduction of Google Home system. The first part of the thesis describes the individual parts of the system --- microcontrollers, sensors, light elements and possible systems for backend. In the implementation part of the thesis was designed a solution for smart home controling using Google Home technology. Based on data from the weather station, the system controls and adjusts the intensity of outdoor lighting and controls the blinds. Furthermore, a control module for gate and garage door control is implemented. The system also takes care of vacuum cleaning in the house using iRobot Roomba vacuum cleaners with custom Wi-Fi module. The final part of the thesis summarizes the achieved results.