The diploma thesis deals with the design of a system for measuring infrared spectra from local areas of samples. The theoretical part describes the electromagnetic waves and related phenomena. Furthermore, the semiconductor junction and solar cells are discussed. The following is a basic description of line spectrometers. In the practical part, a suitable arrangement of the whole system, collimator design, and especially the core of the whole work, ie control software and signal processing, are proposed.

This thesis is focused on distributed systems modeling using Petri nets. Distributed systems are increasingly being implemented in applications and computing systems, where their task is to ensure sufficient performance and stability for a large number of its users. When modeling a distributed systems, stochastic behavior of Petri nets is important, which will provide more realistic simulations. Therefore, this thesis focuses mainly on timed Petri nets. The theoretical part of this thesis summarizes distributed systems, their properties, types and available architectures, as well as Petri nets, their representation, types and the principle of an operation. In the practical part, two models were implemented, namely a horizontally scaled web application divided into several services with a distributed database and a large grid computing system, more precisely the BOINC platform with the Folding@home project. Both models were implemented using the PetNetSim library of Python. The goal of this thesis is to perform simulations on the created models for different scenarios of their behavior.

This diploma thesis summarizes the knowledge about microalgae, their use, cultivation methods and obstacles that prevent their wider use. In the practical part of the work, a device was designed, constructed, and programmed. This device can analyze the bubbles of the tubular photobioreactor and, based on the obtained data, control its aeration. The Python programming language was used to create the program and the OpenCV library was used to analyze the photographs. The bubble detection is based on the edge detection and the subsequent refinement. The data obtained from the analysis are displayed on the device screen and the data are also stored in a csv file. The discussion lists possible improvements and lessons learned during the creation of this device.

The goal of this thesis is to design and implement algorithm for text layout analysis in historical documents. Neural network was used to solve this problem, specifically architecture Faster-RCNN. Dataset of 6 135 images with historical newspaper was used for training and testing. For purpose of the thesis four models of neural networks were trained: model for detection of words, headings, text regions and model for words detection based on position in line. Outputs from these models were processed in order to determine text layout in input image. A modified F-score metric was used for the evaluation. Based on this metric, the algorithm reached an accuracy almost 80 %.

In this thesis a robust Python based software for controlling a Chlorophyll-a Pulse-Amplitude-Modulated (PAM) fluorescence microscope and analysing subsequent data has been developed and validated. The automation software, called PACMan (PAM Automation Control Manager) was made for the purpose of increasing the amount of single cell data generated per experiment. PACMan includes an autofocus algorithm and the ability to vary experimental parameters during experiments. The analysis software, called PAMalysis, processes and facilitates interpretation of PAM experimental data, printing both text files and creating graphical output. PACMan was used on two different phytoplankton species of the Symbiodiniacae family to characterize them under thermal stressors while immobilized on a microfluidic device. The heterogeneity of the phytoplanktons response to increasing thermal stress was evaluated and the best performers under heat stress have been removed using Laser Capture Microdissection for downstream cultivation. PACMan was also used to compare the response of 4 Symbiodiniacae species to increasing relaxation time between light pulses and to image the heterogeneity of response of the common eukaryotic model organism C. reinhartii to a chemical gradient of the common herbicide DCMU (3-(3,4-dichlorophenyl)-1,1-dimethylurea).

This thesis is dedicated to the principles of a MP3 audio format decoding on available develpoment kits powered by ARM processors. It compares kit MCB2300 with LPC2378 microcontroller and kit Raspberry Pi with Debian operation system. The comparsion is focused on their suitability for MP3 decoder implementation. A complete design of support hardware modules, which complement the missing hardware of development kits is described in detail. Thesis includes the realization of an implementation of a MP3 decoder with additional visual effects in a form of an attached RGB LED strip developed on a Raspberry Pi development kit.

This project explores basic methods of time series analysis and decomposition of these series using the additive model. It describes creation of classes for generating and decomposition of time series in Python. This project also guides the reader through creation of Matlab user interface which is used to generate time series and mark chosen parameters. I also go through implementation of functions for time series decomposition previously created in Python. I chose seven parameters of which I kept track. I also chose general features for representing chosen parameters as well as features which were chosen carefully for each parameter. Every time series generated by this user interface are then used to train a program, which classifies them for semantic description. After training the created model was used to predict chosen parameters of previously unknown time series.

In this thesis, there are discussed use-cases of NoSQL database MongoDB implemented as a datastore for user data, which is stored by Datastore stubs in Google App Engine SDK. Existing stubs are not very well optimized for higher load; they significantly slow down application development and testing if there is a need to store larger data sets in these storages. The analysis is focused on features of MongoDB, Google App Engine NoSQL Datastore and interfaces for data manipulation in SDK - Datastore Service Stub API. As a result, there was designed and implemented new datastore stub, which is supposed to solve problems of existing stubs. New stub uses MongoDB as a database layer for storing testing data and it is fully integrated into Google App Engine SDK.

Business process management is important topic in business information systems. Workflow systems are taking the top places in company information system architecture due to aspiration to make business process more and more optimized. This project is about parallel processing and implementation of business processes parallel processing in complex information systems. Content of this project is o function and object library for modeling business process in Vema, a. s. Workflow system. Important part of this project is parallel processing solution and its implementation.

The thesis deals with implementation of a program which can, through the use of FUSE library, make data accessible in the relational database like the classical Gentoo Portage storage. First, the reader of the thesis becomes familiar with FUSE library itself. After that, the new data model is built based on the analysis of the Portage structure. The new model emphasizes especially dependencies of packages. The key implementation issues are also described in the next part. Finally, the thesis assesses outcomes achieved including comparison with standard Portage implementation and classical file system. The other possibilities of the project development are considered as well.