Jenkins CI, the continuous integration server, enables to extend its functionality by plug-ins. These plug-ins can be written in Java and Ruby. The support for Python language is missing although it is one of the most popular programming languages. Therefore we have implemented the SDK for Python plug-in development and this SDK has been integrated into the Jenkins CI community repository. The documentation for the plug-in development in Python has been also published. Thanks to that work, developers can now implement plug-ins in Python programming language.

The goal of the thesis is to develop and describe application for Mikrotik Network stress testing. The aplication is developed in high-level scripting programming language Python. The aplication allowed us to configure and display in diagram our connected routers and network stress testing. Theoretical part is focused on Mikrotik company, their development and products. Next part is about theory of network stress testing and graph theory. The last part is about aplications development, programming language Python and used tools and libraries.

This thesis is meant to present the methods of cluster analysis, their use for detecting network traffic anomalies. It deals with various types of cyber attacks particularly DoS (DDoS) attacks. It contains a list of well-known DoS attacks. Also includes a program in Python, using the k-means method for detection of anomalous traffic.

The graduation thesis deals with invention of detailed definition of the coordinate system for Pontos system. The solution is based on suitable localization method of the point on a car body, whose coordinates are known from CAD data. First part of the thesis describes the design of adapter which determines the reference point. Software solution is presented in second part. Contribution of the work and accuracy of the method are discussed in the end.

Schaffung einer stabilen, erweiterbaren und skalierbaren Infrastruktur für die Bereitstellung von Diensten im Umfeld von Bibliotheken und ähnlichen wissensanbietenden Einrichtungen unter Verwendung von XML-RPC und Python.

Gemeinsamer Workshop von Universitaetsrechenzentrum und Professur Rechnernetze und verteilte Systeme der Fakultaet fuer Informatik der TU Chemnitz. Der Vortrag stellt wxWindows und wxPython als Lösung zur Entwicklung plattformunabhängiger Software mit graphischer Benutzerschnittstelle vor.

<p>New technologies such as electric vehicles, Autonomous vehicles and transportation platforms are changing the way humanity move in a dramatic way and cities around the world need to adjust to this rapid change brought by technology. One of the aspects more challenging for urban planners is the parking problem as the new increase or desire for these private technologies may increase traffic congestion and change the parking requirements across the city. For example, Electric vehicles will need parking places for both parking and charging and Autonomous vehicles could increase the congestion by making longer trips in order to search better parking alternatives. Thus, it becomes essential to have clear, precise and practical models for transportation engineers in order to better represent present and future scenarios including normal vehicles, autonomous vehicles and electric vehicles in the context of parking and traffic alike. Classical network model such as traffic assignment have been frequently used for this purpose although they do not take into account essential aspects of parking such as fixed capacities, variety of users and autonomous vehicles. In this work a new methodology for modelling parking for multi class traffic assignment is proposed including autonomous vehicles and hard capacity constraints. The proposed model is presented in the classical Cournot Game formulation based on path flows and in a new link-node formulation which states the traffic assignment problem in terms of link flows instead of path flows. This proposed model allows for the creation of a new algorithm which is more flexible to model requirements such as linear constrains among different players flows and take advantage of fast convergence of Linear programs in the literature and in practice. Also, this link node formulation is used to redefine the network capacity problem as a linear program making it more tractable and easier to calculate. Numerical examples are presented across this work to better exemplify its implications and characteristics. The present work will allow planners to have a clear methodology for modelling parking and traffic in the context of multiusers which can represent diverse characteristics as parking time or type of vehicles. This model will be modified to take into account AV and the necessary assumptions and discussion will be provided.</p>

The thesis deals with data acquisition from crowdfunding and their analysis. The theoretical part is focused on the description of available technologies and algorithms for data analysis. In the practical part the data collection is realized. Data mining and text mining algorithms are applied in this section for data.

This thesis deals with implementation of a new framework, which allows to define and generate demo data for the star schema structure. Work analyses and com-pares available demo data generators. In theoretical part of the thesis, there are described concepts and technologies using in the field of Business Intelligence. Practical part deals with the design and implementation of the framework. In the final section, there are actual examples of generated data and their possible rep-resentation (samples of possible reports and dashboards).

The aim of diploma thesis is to compare methods of accessibility analysis in regions. The result of the analysis must cover only the region itself and not to overlap the neighbouring regions. This condition must be valid for every single region in the multi region system. The first part of the thesis deals with the methods which make the analysis possible. There are described their main characteristics and their advantages and disadvantages. The core part of the thesis consists of the detailed description of the functions and the approaches in the models and scripts, which were based on the methods identified in the former part. The methods are evaluated by the broad use of the models and scripts with various data samples. For every method is found an applicable use. The results are basis for the further inquires and questions eventually leading to the better understanding and the enhancement of the current approaches in that matters.