This Master’s thesis deals with project of blueprints for installation of data cabling in specific building following regulations. Theoretical part describes basic overview of used regulations and principles of data networks with focus on Ethernet and Wi-Fi standards. Separated chapters cover passive layer of data networks and computer-aided-design. Practical part contains implementational and architectural drawing of data network project in multipurpose building. According to these plans the project could be realized.

Master thesis involves the development of quality measurement issues and performance parameters in data networks. It describes the main technologies as they affect the quality and performance parameters and the effect of these parameters for voice, video and data services. Next are listed some methods for measuring parameters of the data network.In the practical part is selected one method of measuring network parameters and properties of this method are demonstrated by illustrative examples.

The purpose of this study is to produce new knowledge concerning the perceived user’s value generated using machine learning technologies that activate data network effects factors that create value through various business model themes. The data network effects theory represents a set of factors that increase the user’s perceived value for a platform that uses artificial intelligence capabilities. The study followed an abductive research approach where initially found facts were matched against the data network effects theory to be put in context and understood. The study’s data was gathered through semi-structured interviews with experts who were active within the research area and chosen based on their practical experience and their role in the digitization of the healthcare sector. The results show that three out of six factors were fully realized contributing to value creation while two of the factors showed to be partially realized in order to contribute to value creation and that is justified by the exclusion of users' perspectives in the scope of the research. Lastly, only one factor has limited contribution to the value creation due to the heavy regulations limiting its realization in the health sector. It is concluded that data network effects moderators contributed differently in the activation of various business model themes for value creation in a general manner where further studies should apply the theory in the assessment of one specific AI health offering to take full advantage of the theory potential. The theoretical implications showed that the data network factors may not necessarily be equally activated to contribute to value creation which was not initially highlighted by the theory. Additionally, the practical implications of the study’s results may help managers in their decision-making process on which factors to be activated for which business model theme.

Este trabalho propôs o desenvolvimento e a avaliação de uma metodologia com o propósito de identificar anomalias em redes de comunicação Profinet, muito utilizadas na automação de plantas industriais. A metodologia desenvolvida está fundamentada na análise das características de comunicação do protocolo Profinet e na identificação e classificação de padrões, sendo esta, uma das principais aplicações do uso de Redes Neurais Artificiais (RNA). As anomalias são identificadas por meio da análise do tráfego de rede Profinet em sua fase de operação. Tais anomalias podem ser desde defeitos comuns apresentados pelos equipamentos da rede e/ou tentativas de ataques a esta, que por sua vez, podem gerar instabilidade e mau funcionamento da unidade industrial que fazem parte. Para o desenvolvimento deste trabalho foram apresentados: o detalhamento do protocolo Profinet, os mecanismos de segurança mais utilizados atualmente, os tipos de sistemas de detecção de anomalias existentes e os principais tipos de ataques em redes de comunicação conhecidos na literatura. Alguns ensaios para a validação da metodologia foram realizados, utilizando-se uma infraestrutura de rede instalada em laboratório. Ensaios com diferentes tipos de equipamentos interligados em rede foram realizados e os resultados apresentados. Como resultado final, demonstrou-se que a metodologia utilizada obteve êxito na identificação da presença ou ausência de anomalias na rede, sendo que os resultados obtidos podem ser considerados satisfatórios e condizentes às expectativas desta dissertação. Concluiu-se então que a metodologia apresentada é factível e aplicável no meio industrial, podendo ser incorporada a uma ferramenta mais abrangente, como os analisadores de redes Profinet. / This work proposed the development and evaluation of a methodology in order to identify anomalies in Profinet communication networks, widely used in the automation of industrial plants. The methodology is based on an analysis of the communication features of the Profinet protocol and identifying and pattern classification, which is one of the main applications of the use of Artificial Neural Networks (ANN). The anomalies are identified by analyzing the Profinet network traffic in its operation phase. Such anomalies can be provided by common defects in equipment in the network and / or attempted attacks to this, which in turn can cause instability and malfunction of the plant forming part. In development of this work were presented: the details of the Profinet protocol, the security mechanisms most widely used, the types of anomalies detection systems and the main types of attacks on communication networks known in the literature. Some assays to validate the method were performed, using a network infrastructure installed in the laboratory. Tests with different types of networked equipment were performed and the results presented. The final result showed that the methodology was successful in identifying the presence or absence of anomalies in the network, and the obtained results can be considered satisfactory and consistent with expectations of this paper. It was therefore concluded that this methodology is feasible and applicable in industrial environment and can be incorporated into a more comprehensive tool, such as analyzers Profinet networks.

Este trabalho propôs o desenvolvimento e a avaliação de uma metodologia com o propósito de identificar anomalias em redes de comunicação Profinet, muito utilizadas na automação de plantas industriais. A metodologia desenvolvida está fundamentada na análise das características de comunicação do protocolo Profinet e na identificação e classificação de padrões, sendo esta, uma das principais aplicações do uso de Redes Neurais Artificiais (RNA). As anomalias são identificadas por meio da análise do tráfego de rede Profinet em sua fase de operação. Tais anomalias podem ser desde defeitos comuns apresentados pelos equipamentos da rede e/ou tentativas de ataques a esta, que por sua vez, podem gerar instabilidade e mau funcionamento da unidade industrial que fazem parte. Para o desenvolvimento deste trabalho foram apresentados: o detalhamento do protocolo Profinet, os mecanismos de segurança mais utilizados atualmente, os tipos de sistemas de detecção de anomalias existentes e os principais tipos de ataques em redes de comunicação conhecidos na literatura. Alguns ensaios para a validação da metodologia foram realizados, utilizando-se uma infraestrutura de rede instalada em laboratório. Ensaios com diferentes tipos de equipamentos interligados em rede foram realizados e os resultados apresentados. Como resultado final, demonstrou-se que a metodologia utilizada obteve êxito na identificação da presença ou ausência de anomalias na rede, sendo que os resultados obtidos podem ser considerados satisfatórios e condizentes às expectativas desta dissertação. Concluiu-se então que a metodologia apresentada é factível e aplicável no meio industrial, podendo ser incorporada a uma ferramenta mais abrangente, como os analisadores de redes Profinet. / This work proposed the development and evaluation of a methodology in order to identify anomalies in Profinet communication networks, widely used in the automation of industrial plants. The methodology is based on an analysis of the communication features of the Profinet protocol and identifying and pattern classification, which is one of the main applications of the use of Artificial Neural Networks (ANN). The anomalies are identified by analyzing the Profinet network traffic in its operation phase. Such anomalies can be provided by common defects in equipment in the network and / or attempted attacks to this, which in turn can cause instability and malfunction of the plant forming part. In development of this work were presented: the details of the Profinet protocol, the security mechanisms most widely used, the types of anomalies detection systems and the main types of attacks on communication networks known in the literature. Some assays to validate the method were performed, using a network infrastructure installed in the laboratory. Tests with different types of networked equipment were performed and the results presented. The final result showed that the methodology was successful in identifying the presence or absence of anomalies in the network, and the obtained results can be considered satisfactory and consistent with expectations of this paper. It was therefore concluded that this methodology is feasible and applicable in industrial environment and can be incorporated into a more comprehensive tool, such as analyzers Profinet networks.

In this diploma thesis, the reader is familiarized with polymer optical fiber (POF). Firstly is mentioned theoretical background of optical fibers and optical transmission. The following are the basic properties and significant parameters of POF, a more detailed description of each type POF and their essential advantages and disadvantages in comparison with established optical fibers based on glass. The next chapter describes the area of practical issues: working with fibers and fiber installation, as well as the available connectors and methods of measurement of POF. Closely are analyzed knowledge of the practice, including the utilize in the aerospace and automotive industries, as well as in industrial networks, access data networks and local area networks. The practical part includes the measurement of basic transmission and mechanical parameters, including analysis of the results. The conclusion summarizes all the findings and results of this work, including possible future developments.

This thesis deals with analysis of company’s MBG, spol. s r.o. problems, following with teoretical basis for these problems and in the end, it suggests the solutions. These problems are insufficient monitoring, any of used technology are old and absent of any information security management system. The first part is focused on a teoretical basis for the described problems, the second part will completely analyze all mentioned problems of a company. Final part will contain a solution for every company’s problem, based on theory and analysis with taking care about company’s demand too.

This diploma thesis analyzes the PLC communications in various scenarios. The first part of the thesis describes the principle of narrowband and broadband communication and the analysis of electrical lines. The next part describes the NS-3 framework, simulation scenarios for establishment the effect of branches and other parameters on the baud rate. The last part determines the minimum number of repeaters and their location on the extended topology.