This master thesis presents a topic of testing network address translation. It describes basic principles of network address translation and general methods for testing network devices. These methods are then applied on NAT devices. Thesis then introduces a design of a  framework for performing functional tests. The designed framework is then implemented as a part of the thesis and used to test a newly developed high-speed NAT application.

Software projects go through a phase of maintenance and, in case of open source projects, through hard development process. Both of these phases are prone to regressions, meaning previously working parts of system do not work anymore. To avoid this behavior, systems are being tested with long test suites, which can be sometimes time consuming. For this reason, prediction models are developed to predict software regressions using historical testing data and code changes, to detect changes that can most likely cause regression and focus testing on such parts of code. But, these predictors rely on static code analysis without deeper semantic understanding of the code. Purpose of this master thesis is to create predictor, that relies not only on static code analysis, but provides decisions based on code semantics as well.

Tato diplomová práce se zabývá tvorbou fúze pozičních dat z existující realtimové im- plementace vizuálního SLAMu a kolové odometrie. Výsledkem spojení dat je potlačení nežádoucích chyb u každé ze zmíněných metod měření, díky čemuž je možné vytvořit přesnější 3D model zkoumaného prostředí. Práce nejprve uvádí teorií potřebnou pro zvládnutí problematiky 3D SLAMu. Dále popisuje vlastnosti použitého open source SLAM projektu a jeho jednotlivé softwarové úpravy. Následně popisuje principy spo- jení pozičních informací získaných vizuálními a odometrickými snímači, dále uvádí popis diferenciálního podvozku, který byl použit pro tvorbu kolové odometrie. Na závěr práce shrnuje výsledky dosažené datovou fúzí a srovnává je s původní přesností vizuálního SLAMu.

This work deal with developing dedicated autonomous device for data collection. The work describes the approaches how to design that. Solve choosing of the sensor taking into his properties for this device. And regard on the comparison with similar devices on market according behavior and function. General concept of the suggested datalogger. The thesis contains hardware and software equipment of this device.

This master`s thesis deals with domain structure. The main concern of this work is analysis and implementation of the Domain Structure in a company. Domain structure will be introduced because of the current unsatisfactory solutions and increase information security. The name of the company is not specified in this thesis.

Diploma thesis is focused on an analysis of radio conditions of indoor LTE-A mobile networks. Measurements of the Huawei LTE-A radio access network were performed using the R&S TSMW spectral analyser. Results have been processed and discussed. The practical part of diploma thesis also consists of a development of a program for processing the data sets obtained from R&S TSMW spectral analyzer.

Tile Calorimeter modules are regularly tested in the CERN SPS North Area, as they are an integral part of the ATLAS experiment at the Large Hadron Collider at CERN. In this thesis, test beam data from November 2018 were used for two separate analyses. Muon SPS H8 beam allowed for the review of radial electromagnetic cali- bration in the extended barrel module EBC65. Data from November 2018 test beam confirmed the correctness of previously established and used constants for rectifying uneven response in A, BC and D cell rows. In the second analysis, hadron beam from the SPS accelerator impinging on the Tile Calorimeter modules in the projective geometry was utilized. It served to determine the distribution of the mean energy in the calorimeter for hadronic showers in Tile Calorimeter at η varying from −0.05 up to −0.65. 1

This thesis is focused on interpreting constitutive components of Michel Foucault's political thought (power, knowledge, subjectivity) from the viewpoint of the subjectification. The first goal of this work is to pursue the technique of confession as a crucial mechanism that participates on constructing the subjectivity in Foucault's work. To uncover in which connections it is usually pursued and what forms according to Foucault did it gain during history depending on various configurations of bonds between power and knowledge. The work's second goal is to substantiate a technique of confession defined by Foucault in contemporary human sciences, specifically in the foundations of the processes of data collection and then to demonstrate confession as a necessary element for creating an empirical type of knowledge.

The thesis deals with the preparation of initial conditions for nume- rical weather prediction in high resolution limited area models. It focuses on the problem of preserving the large-scale part of the global driving model analysis, which can not be determined in sufficient quality in limited-area models. For this purpose, the so-called BlendVar scheme is used. The scheme consists of the appli- cation of the Digital Filter (DF) Blending method, which assures the transmission of a large-scale part of the analysis of the driving model to the limited area model, and of the three-dimensional variational method (3D-Var) at high resolution. The thesis focuses on the appropriate background error specification, which is one of the key components of 3D-Var. Different approaches to modeling of background errors are examined, including the possibility of taking into account the flow- dependent character of background errors. Approaches are also evaluated from the point of view of practical implementation. Study of evolution of background errors during DF Blending and BlendVar assimilation cycles leads to a new pro- posal for the preparation of a background error covariance matrix suitable for the BlendVar assimilation scheme. The use of the new background error covariance matrix gives the required property...

Research in the area of load balancing in distributed systems has not yet come with an optimal load balancing technique. Existing approaches work primarily with replication and sharding. This thesis overviews existing knowledge in this area with focus on shard- ing, and provides an experiment comparing a state-of-the-art load balancing technique called Weighed-Move with a random baseline and an existing domain-specific balancing implementation. As a significant part of the project, we engineered a generic and scal- able load balancer that may be used in any distributed system and deployed it into an existing ad system called Sklik. The major challenges appeared to be tackling various problems related to data consistency, performance and synchronization, together with solving compatibility issues with the rest of the still-evolving ad system. Our experiment shows that the domain-specific load balancing implementation produces data distribution that enables better performance, but Weighed-Move proved to have a great potential and its results are expected to be enhanced by further work on our implementation. 1