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Implementation of the Smart Metering Systems in Energetics in Slovakia
Petreová, Adela ; Machek, Ondřej (advisor) ; Tyll, Ladislav (referee)
The goal of the Master´s thesis is to map the actual situation of transformation of power energy sector to smart grid, find answers to some of the major questions concerning the implementation of smart metering systems, evaluate societal and economic costs and benefits, evaluate trends in legislation, compare the situation in Slovakia with other peer countries from the European Union, and create a follow-up recommendations for Slovakia based on this assessment. The thesis includes detailed critical analysis of the CBA, originally created for Slovakia, using benchmarking with countries with a different calculation approach. The used methodology in this work is a research of available resources, qualitative research of case studies, break-down of the CBA, and expert research through interviewing. The outcome is evaluation of economic and societal contributions of smart metering systems and mapping the process and state of the implementation.
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Environment in China - current state, problems and perspectives
Salačová, Aneta ; De Castro, Tereza (advisor) ; Neumann, Pavel (referee)
The problematics of the environment has been underestimated in China for a long time. This country has been developing with incredible speed in the last three decades. The price for such growth is the current state of the environment in China. The thesis is divided into three chapters. The goal of this thesis is to evaluate the current state of the environment in China and the development of the stance of the Chinese government towards the protection of the environment in the new millennium. In connection with the economic growth is analysed the dependence on air pollution and Chinese GDP. Last but not least are offered possible solutions and perspectives of the future development of air pollution in China.
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Building and use of smaller computer networks
Kyzivát, Marek ; Pinkas, Otakar (advisor) ; Šmejkal, Ivo (referee)
The thesis describes the initial state of the computer network Basic Schools and Kindergartens Ohradní (ZŠMŠ Ohradní) in Prague 4 and then its reconstruction, which I largely contributed. ZŠMŠ Ohradní consists of four pavilions and from one building on the other side of the street. The aim of this study is to assess the initial state of the network and point out the shortcomings that we discovered. We found deficiencies in the operation stress tests, measurements and data cabling overall analysis. Original networks connectivity was 100Mb/s. Together with a colleague, we are network administrators. Furthermore, I am going to introduce a new form of network, which has identified deficiencies improved, by using on newer technologies. I will describe its structure, address allocation, active and passive components, and operated services. New network is capable of 1Gb/s, and its spine is going to be 10Gb/s soon. Benefits of this reconstruction is faster, more stable and more modern network that will facilitate the work of employees of ZŠMŠ Ohradní. To these improvements, I have mainly contributed by measurements. I participated in the design and implementation of new form of data network. I collaborated with fellow Poc to the configuration of active elements and network services in reconstructed network.
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The Use of Data Analytics in Internal and External Audit
Tecáková, Andrea ; Říhová, Zora (advisor) ; Kadochová, Lucie (referee)
Data Analytics is one of the fast-developing applications of IT in organizations worldwide. This Master's thesis examines data analytics in the context of internal and external audit. Principal aim of the thesis is to identify the opportunities for data analytics application in both audit disciplines. Secondary goal is to design a data-analytical procedure, apply it to actual business data and thus demonstrate the benefits of employing data analytics. The thesis builds on a summary of theoretical sources of the relevant area, followed by a survey conducted by the author. The survey maps current state of data analytics usage in both internal and external audit in the Czech Republic. The added value of this thesis is, apart from the identification of audit areas in which it is beneficial to use data analytics, the design of an analytical procedure and its application. Another benefit is the survey revealing current state of the art and the insights of interviewed auditors, pointing to both benefits and problems of data analytics application to the performance of the audit profession.
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Possibilities of Big Data use for Competitive Intelligence
Verníček, Marek ; Molnár, Zdeněk (advisor) ; Šperková, Lucie (referee)
The main purpose of this thesis is to investigate the use of Big Data for the methods and procedures of Competitive Intelligence. Among the goals of the work is a toolkit for small and large businesses which is supposed to support their work with the whole process of Big Data work. Another goal is to design an effective solution of processing Big Data to gain a competitive advantage in business. The theoretical part of the work processes available scientific literature in the Czech Republic and abroad as well as describes the current state of Competitive Intelligence, and Big Data as one of its possible sources. Subsequently, the work deals with the characteristics of Big Data, the differences from working with common data, the need for a thorough preparation and Big Data applicability for the methods of Competitive Intelligence. The practical part is focused on analysis of Big Data tools available in the market with regard to the whole process from data collection to the analysis report preparation and integration of the entire solution into an automated state. The outcome of this part is the Big Data software toolkit for small and large businesses based on their budget. The final part of the work is devoted to the classification of the most promising business areas, which can benefit from the use of Big Data the most in order to gain competitive advantages and proposes the most effective solution of working with Big Data. Among other benefits of this work are expansion of the range of resources for Competitive Intelligence and in-depth analysis of possibilities of Big Data usage, designed to help professionals make use of this hitherto untapped potential to improve market position, gain new customers and strengthen the existing user base.
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Diversity in the labor market
Gaydoshikova, Ekaterina ; Dvořák, Marek (advisor)
The aim of the thesis is to evaluate the issue of diversity of the labor market in the Czech Republic on the example of specific organizations, evaluate the implementation of the concept of diversity in the workplace on the basis of selected factors. When analyzing diversity is an emphasis on primary and secondary characters of diversity: age, gender, ethnicity, mental and physical abilities, marital status, religion, work experience. The work consists of two parts, theoretical and practical. The theoretical part defines concepts: diversity, equal opportunities, primary and secondary characters of diversity, acceptance of the importance of diversity as a value. The practical part deals with the implementation of diversity into practice on the basis of the analytical methods (analysis: workforce, documents and research positions) and draft incorporation into relevant strategic processes of the organization.
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Subsidy Support of the Sustainable Waste Management
BEDNÁŘOVÁ, Renata
The subject of the dissertation is the issue of the waste management with special emphasis on the recycling of the construction and demolition waste. The recourse is an analysis of the key instruments regulating the activities and behaviour of market operators in this field toward fulfilling all-society priorities and principles of the sustainable development, where special accent is put on the area of subsidy policies and programmes. The aim of the dissertation is to analyse and evaluate the setting of the selected subsidy programme in terms of economic and ecological efficiency with the emphasis on the assessment of the impact on the recipient. The subject of the research will be a priority axis 4 "Improvement of Waste Management and Removal of Old Environmental Burdens" within the Operational Programme Environment 2007 - 2013. In the literature review basic concepts and important definitions are defined, followed by the comprehensive and complex searches of the problematics from different angles of view. First of all, the global aspect of environmental protection is discussed, broader historical, legal, economic and political contexts, that are essential fundament for understanding the current and future challenges both globally regionally, are summarized. Hereafter, a more detailed description of the situation of the European Union is followed, then the overview is completed by a detailed view at the state of the problematics in the Czech Republic. Subsequent chapters are devoted to a detailed analysis of the waste management sector, again in terms of global, European and national standpoint, in the end the view is focused on the key issue of the dissertation problematics of construction and demolition waste. In the application part the fulfilling of the stated objective of the dissertation through four defined hypothesis is solved. Hypotheses verify the efficiency and appropriateness of the setting of the system of subsidies in the frame of the monitored programme. The emphasis is imposed on the assessment of the impact of the allocated subsidies to the private entities on their economic and environmental efficiency.
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HUMAN ACTION RECOGNITION IN VIDEO
Řezníček, Ivo ; Baláž, Teodor (referee) ; Sojka, Eduard (referee) ; Zemčík, Pavel (advisor)
Tato disertační práce se zabývá vylepšením systémů pro rozpoznávání činností člověka. Současný stav vědění v této oblasti jest prezentován. Toto zahrnuje způsoby získávání digitálních obrazů a videí společně se způsoby reprezentace těchto entit za použití počítače. Dále jest prezentováno jak jsou použity extraktory příznakových vektorů a extraktory pros- torově-časových příznakových vektorů a způsoby přípravy těchto dat pro další zpracování. Příkladem následného zpracování jsou klasifikační metody. Pro zpracování se obecně obvykle používají části videa s proměnlivou délkou. Hlavní přínos této práce je vyřčená hypotéza o optimální délce analýzy video sekvence, kdy kvalita řešení je porovnatelná s řešením bez restrikce délky videosekvence. Algoritmus pro ověření této hypotézy jest navržen, implementován a otestován. Hypotéza byla experimentálně ověřena za použití tohoto algoritmu. Při hledání optimální délky bylo též dosaženo jistého zlepšení kvality klasifikace. Experimenty, výsledky a budoucí využití této práce jsou taktéž prezentovány.
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