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Automatic configuration of virtual infrastructure
Kadlíček, Jan ; Mašek, Jan (referee) ; Uher, Václav (advisor)
This master thesis focuses on the issue of automation of virtual infrastructure and available tools such as Ansible, Terraform and Puppet. The individual tools are compared here in sequence for installations or configuration creation. The result of this semester thesis is the selection of a suitable tool for automation of virtual infrastructure.
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Xtend GUI regression testing tool
Hamár, Lukáš ; Mašek, Jan (referee) ; Sikora, Marek (advisor)
The diploma thesis deals with regression testing of the Campaign Manager web application of the Xtend product. The work interprets the software development methodologies and subsequently it describes the types of testing that are closely related to development. Furthermore, the work focuses on tools used for the graphical user interface testing and their mutual comparison. The next part of the work is dedicated to the creation of the development environment and it analyzes the structure of test cases that were developed in the created environment. The last section describes how the Campaign Manager was tested and how test results were generated and obtained.
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Parallelization of complex tasks in reconstruction of dynamic magnetic resonance
Bijotová, Kateřina ; Rajmic, Pavel (referee) ; Mašek, Jan (advisor)
This thesis deals with parallelization of complex tasks in reconstruction of dynamic magnetic resonance. It describes the basic principle of magnetic resonance and its relation to Fourier transform. It deals with the difference between static and dynamic magnetic resonance image reconstruction. It analyzes SVD algorithm and its use in magnetic resonance image reconstruction. It presents the principles and the importance of parallel computing in magnetic resonance imaging and describes CUDA technology. The thesis also contains a description and execution of the implementation of the reconstruction model in MATLAB and Java programming language which were optimized by JCuda library for Java implementation and gpuArray function in case of MATLAB implementation.
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Parallelization of complex tasks in reconstruction of dynamic magnetic resonance
Bijotová, Kateřina ; Rajmic, Pavel (referee) ; Mašek, Jan (advisor)
This thesis deals with parallelization of complex tasks in reconstruction of dynamic magnetic resonance. It describes the basic principle of magnetic resonance and its relation to Fourier transform. It deals with the difference between static and dynamic magnetic resonance image reconstruction. It analyzes SVD algorithm and its use in magnetic resonance image reconstruction. It presents the principles and the importance of parallel computing in magnetic resonance imaging and describes CUDA technology. The thesis also contains a description and execution of the implementation of the reconstruction model in MATLAB and Java programming language which were optimized by JCuda library for Java implementation and gpuArray function in case of MATLAB implementation.
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Conditioning of Primary Systems for Solving by Flexibility Method
Sabelová, Katarína ; Mašek, Jan (referee) ; Frantík, Petr (advisor)
This bachelor thesis deals with effect of chosen basic determinate structure on solution of statically indeterminate structures obtained by using force method. Evaluation of basic determinate structure is based on conditioning of flexibility matrix, defined by three different condition numbers. Each of the four analyzed structures is examined in different way, due to their individual characteristics. As a result, few findings about dependence of conditioning of used basic structure on structures parameters and its effect on solution by force method were obtained.
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Static analysis of the office building
Golisová, Michaela ; Mašek, Jan (referee) ; Vlk, Zbyněk (advisor)
This bachelor thesis contains design and structural analysis of monolitic reinforced concrete frame structure of a high rise office building. Spatial bar model was created from my own design using RFEM software, in which it was then linearly statically analysed using Finite Element Method. RF - CONCRETE plug-in was used for prelminary design of necessary reinforcement.
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Robot with autonomous audio-video control
Dvořáček, Štěpán ; Mašek, Jan (referee) ; Přinosil, Jiří (advisor)
This thesis describes the design and realization of a mobile robot with autonomous audio-visual control. This robot is able of movement based on sensors consisting of camera and microphone. The mechanical part consists of components made with 3D print technology and omnidirectional Mecanum wheels. Software utilizes OpenCV library for image processing and computes MFCC a DTW for voice command detection.
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System for 3D data visualisation in virtual reality
Kalafut, Oliver ; Mašek, Jan (referee) ; Kolařík, Martin (advisor)
This bachelor thesis deals with the imaging of medical models, for example human body organs, in virtual reality via Oculus Go. Oculus Go is an all-in-one device with a powerful processor and high-resolution display that is ideal for this bachelor thesis. The main goal is the conversion of 2D and 3D medical data formats, including formats such as DICOM and NIfTI, into 3D formats usable for virtual reality and then create the application. The first part of this work is devoted to the theoretical introduction and introduces the issues of virtual reality and 3D modelling to the reader. Then in the practical part, there was implemented a standalone (offline) application for display and interaction of used medical models with users in the virtual reality environment. In total, eight models of different parts of the human body were processed and converted to a uniform 3D Object (.obj) format. Subsequently, they were imported into program Unity, in which I created the entire application environment called Model Preview VR. The application enables viewing, zooming, rotating, and cross-section features of individual objects and is suitable for the presentation of simple models. This application can be helpful for development of not only medical imaging, but also for getting quality photos for publishing.
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Computational tasks for solving parallel data processing
Rexa, Denis ; Uher, Václav (referee) ; Mašek, Jan (advisor)
The goal of this diploma thesis was to create four laboratory exercises for the subject "Parallel Data Processing", where students will try on the options and capabilities of Apache Spark as a parallel computing platform. The work also includes basic setup and use of Apache Kafka technology and NoSQL Apache Cassandra database. The other two lab assignments focus on working with a Travelling Salesman Problem. The first lab was designed to demonstrate the difficulty of a task where the student will face an exponential increase in complexity. The second task consists of an optimization algorithm to solve the problem in cluster. This algorithm is subjected to performance measurements in clusters. The conclusion of the thesis contains recommendations for optimization as well as comparison of running with different number of computing devices.
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A dynamical particle system as a driver for optimal statistical sampling
Mašek, Jan ; Šejnoha,, Jiří (referee) ; Kruis,, Jaroslav (referee) ; Vořechovský, Miroslav (advisor)
The presented doctoral thesis aims at development a new efficient tool for optimization of uniformity of point samples. One of use-cases of these point sets is the usage as optimized sets of integration points in statistical analyses of computer models using Monte Carlo type integration. It is well known that the pursuit of uniformly distributed sets of integration points is the only possible way of decreasing the error of estimation of an integral over an unknown function. The tasks of the work concern a survey of currently used criteria for evaluation and/or optimization of uniformity of point sets. A critical evaluation of their properties is presented, leading to suggestions towards improvements in spatial and statistical uniformity of resulting samples. A refined variant of the general formulation of the phi optimization criterion has been derived by incorporating the periodically repeated design domain along with a scale-independent behavior of the criterion. Based on a notion of a physical analogy between a set of sampling points and a dynamical system of mutually repelling particles, a hyper-dimensional N-body system has been selected to be the driver of the developed optimization tool. Because the simulation of such a dynamical system is known to be a computationally intensive task, an efficient solution using the massively parallel GPGPU platform Nvidia CUDA has been developed. An intensive study of properties of this complex architecture turned out as necessary to fully exploit the possible solution speedup.
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