Thesis deals with data technology, which can be used for communication between mobile and IP networks. The aim of the project is to design data communication and the subsequent implementation of the mobile and IP networks. First of all, it made an introduction to telecommunications systems with focus on GSM. Subsequently, the work examines data provided by GSM technology standard with a focus on GPRS, which is in the other chapters discusses in more detail. The resulting communication application protocol is designed in two versions, which is achieved by the creation of an autonomous system. Communication is implemented using JAVA programming language, which created an application client, server and implemented application protocol. Client application is tested on a mobile phone with Internet connection with support for GPRS technology. Server application is installed on a PC workstation, which is assigned a public IP address, it is easily addressable from the Internet.

The aim of this work is to introduce a new type of fuzzy system AnYa. This system, unlike the classical fuzzy systems Takagi-Sugeno and Mamdani, uses a type of antecendent based on real data distribution. As part of the work there will be mentioned system programmed and its functionality will be verified on testing data.

The dissertation deals with utilisation of multispectral optical measurement for data fusion that may be used for visual telepresence and indoor/outdoor mapping by heterogeneous mobile robotic system. Optical proximity sensors, thermal imagers, and tricolour cameras are used for the fusion. The described algorithms are optimised to work in real-time and implemented on CASSANDRA robotic system made by our robotic research group.

This master´s thesis deals with data integration that is used for data transfer within various database systems in both directions - data migration and replication. We become familiar with the technologies of distributed databases. In detail the system of health care providers is described and particular tables involved into its data integration are explored. For the project execution the proposal for integration of this system is created and whereupon following implementation is described.

This thesis describes design and implementation of application for offline NetFlow data annotation from perspective of network security. In this thesis is explained the NetFlow architecture in detail along with methods for security incidents detection in the captured data. The application design is based on analysis of manual annotation and supported by several UML diagrams. The Nemea system is used for detecting security events and Warden system as a source of information about reported security incidents on the network. The application uses technologies such as PHP 5, Nette framework, jQuery library and Bootstrap framework. The CESNET association provided NetFlow data for testing the application. The result of this thesis could be used for analysis and annotation of NetFlow data. Resulting data set could be used to verify proper functionality of detection tools.

Bezpečnost publikování prostorových dat na internetu Abstrakt Diplomová práce se věnuje problematice publikování prostorových dat v síti internet. Cílem je popsat soudobé způsoby publikování dat, analyzovat bezpečnostní slabiny z hlediska úniku dat a navrhnout opatření, která by umožnila zabezpečit volně dostupná data proti automatizovanému stahování. V práci je vysvětlena motivace ilegálního získávání prostorových dat, jsou popsány soudobé možnosti publikování dat na internetu (včetně specifik pro data rastrová a vektorová), možnosti ochrany dat proti nelegálnímu získání a jejich slabiny. Výsledkem je navržení a formulování obecné metodiky ve formě doporučení pro publikování různých typů prostorových dat, která automatizované útoky na získání dat významně ztíží. Klíčová slova: prostorová data, internet, mapový server, datová politika, webové technologie Security of publishing spatial data on the Internet Abstract The master's thesis focuses on the topics of security of publishing spatial data on the Internet. The goal of the work is to describe present ways of publishing, to analyze weaknesses from point of view of leaks and to propose measures, that would allow securing publicly accessible data against automated downloads. Readers will get explained the motivation of getting spatial data, description and...

The aim of the thesis is to develop a method to identify driving lanes based on aerial images and existing spatial data. The proposed method uses up to date available data in which it identifies road surface marking (RSM). Polygons classified as RSM are further processed to obtain their vector line representation as the first partial result. While processing RSM vectors further, borders of driving lanes are modelled as the second partial result. Furthermore, attempts were done to be able to automatically distinguish between solid and broken lines for a higher amount of information contained in the resulting dataset. Proposed algorithms were tested in 20 case study areas and results are presented further in this thesis. The overall correctness as well as the positional accuracy proves effectivity of the method. However, several shortcomings were identified and are discussed as well as possible solutions for them are suggested. The text is accompanied by more than 70 figures to offer a clear perspective on the topic. The thesis is organised as follows: First, Introduction and Literature review are presented including the problem background, author's motivation, state of the art and contribution of the thesis. Secondly, technical and legal requirements of RSM are presented as well as theoretical concepts and...

NoSQL databases are becoming increasingly more popular due to their undeniable advantages in the context of storing and processing big data, mainly horizontal scala- bility and the lack of a requirement to define a data schema upfront. In the absence of explicit schema, however, an implicit schema inherent to the stored data still exists and can be inferred. Once inferred, a schema is of great value to the stakeholders and database maintainers. Nevertheless, the problem of schema inference is non-trivial and is still the subject of ongoing research. We explore the many aspects of NoSQL schema inference and data modeling, analyze a number of existing schema inference solutions in terms of their inner workings and capabilities, point out their shortcomings, and devise (1) a novel horizontally scalable approach based on the Apache Spark platform and (2) a new NoSQL Schema metamodel capable of modeling i.a. inter-entity referential relation- ships and deeply nested JSON constructs. We then experimentally evaluate the newly designed approach along with the preexisting solutions with respect to their functional and performance capabilities. 1

The diploma thesis titled Transformation of Journalistic Practices Relating to Advent of Data Journalism concerns the current situation in Czech data journalism and its devel- opment. It examines how the newsroom, the journalists and the readers cope with new technology, big data and the related advent of data journalism. The theoretical part of the text explains the relationship between classical journalism and data-driven journal- ism and compares the so-called "narrative" and "interactive" approaches as forms of data-driven journalism. Further it gives a deeper understanding of the relation between data journalism and the new concept of objectivity and it deals with the cultural, social and technical preconditions of data journalism. The thesis also describes the historical aspects of the topic comparing computer-assisted reporting to current practice. Sub- sequent chapters deal with the visualizations, infographics, amateur data journalism and open data which all play a key role in data-driven journalism. The practical part intro- duces the Czech data team. It was originally established within the publishing house Economia and then moved to the office of Czech Radio (Český rozhlas). The final parts discuss the cooperation model of the Czech data team, the use of visualization in their projects,...

The main purpose of the thesis is to introduce a method for data migration quality assurance or completeness and accuracy testing of migrated data. Method will become part of the knowledge base of Deloitte Czech Republic for projects in the Enterprise Risk Services department. Data migration quality assurance projects carried by Deloitte in the Czech Republic have its own specifics. Although there exists methodology "Systems Development Playbook" which also includes a data migration methodology, the problem especially of the Prague branch is the fact that the procedures and methods for consulting projects in the area of data migration are not described in current methodological documentations including specifics of the Czech and Slovak projects. This represents a risk of inconsistencies in the implementation of this type of consulting projects in case of key employees leaving. Improving procedures and optimization of human resources engagement in data migration projects can't be measurably compared among projects, if there don't exists a basic methodology against which specific projects can be measured. The objectives of the work are achieved by consolidating experience from past projects involving data migration within Deloitte Czech Republic and designing improvement of existing processes by integrating information from external sources and internal sources of the global Deloitte Touche Tohmatsu.