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1
Endstrasser, Zdeněk. „Kalibrace a interpretace obrazových dat měřených zařízením LEEM“. Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443243.
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This thesis deals with the software development to calibration and interpretation of image data measured by a LEEM device. As the imaging technique is uniquely suited for in-situ studies of surface dynamical processes, the attention is mainly paid to methods enabling the evaluation of measurement time series. The phase correlation method based on Fourier transform of images is proposed to temperature shift correction between consecutive frames. The thesis describes the methods of additive and impulse noise filtering, image visualization, the filtration of secondary electrons and the determination of I-V curves from measured image data. Implemented methods are described not only in terms of their mathematical origin, but also with emphasis on the revealing of critical aspects associated with their use. The thesis also focuses on the application of the created algorithm to image data capturing the spatial and temporal evolution of 4,4’-biphenyl-dicarboxylic acid surface phases induced by sample annealing. Based on these evaluations, a suitable procedure is then determined to perform accurate detection and compensation of temperature shift said.
2
Ďuričeková, Daniela. „Statická analýza možných hodnot proměnných v programech v C“. Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236176.
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Value-range analysis is a static analysis technique based on arguing about the values that a variable may take on a given program point. It can be used to prove absence of run-time errors such as out-of-bound array accesses. Since value-range analysis collects information on each program point, data-flow analysis can be used in association with it. The main goal of this work is designing and implementing such a value-range analysis tool. The work begins with an introduction into the topic, an explanation of data-flow and value-range analyses and a description of abstract interpretation, which provides the formal basis of the analyser. The core of this work is the design, implementation, testing and evaluation of the analyser. In the conclusion, our personal experience obtained in the area of the thesis is mentioned, along with a discussion of a possible future development of the designed tool.
3
Kejkula, Martin. „Zpracování asociačních pravidel metodou vícekriteriálního shlukování“. Doctoral thesis, Vysoká škola ekonomická v Praze, 2002. http://www.nusl.cz/ntk/nusl-77103.
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Association rules mining is one of several ways of knowledge discovery in databases. Paradoxically, data mining itself can produce such great amounts of association rules that there is a new knowledge management problem: there can easily be thousands or even more association rules holding in a data set. The goal of this work is to design a new method for association rules post-processing. The method should be software and domain independent. The output of the new method should be structured description of the whole set of discovered association rules. The output should help user to work with discovered rules. The path to reach the goal I used is: to split association rules into clusters. Each cluster should contain rules, which are more similar each other than to rules from another cluster. The output of the method is such cluster definition and description. The main contribution of this Ph.D. thesis is the described new Multicriterial clustering association rules method. Secondary contribution is the discussion of already published association rules post-processing methods. The output of the introduced new method are clusters of rules, which cannot be reached by any of former post-processing methods. According user expectations clusters are more relevant and more effective than any former association rules clustering results. The method is based on two orthogonal clustering of the same set of association rules. One clustering is based on interestingness measures (confidence, support, interest, etc.). Second clustering is inspired by document clustering in information retrieval. The representation of rules in vectors like documents is fontal in this thesis. The thesis is organized as follows. Chapter 2 identify the role of association rules in the KDD (knowledge discovery in databases) process, using KDD methodologies (CRISP-DM, SEMMA, GUHA, RAMSYS). Chapter 3 define association rule and introduce characteristics of association rules (including interestingness measuress). Chapter 4 introduce current association rules post-processing methods. Chapter 5 is the introduction to cluster analysis. Chapter 6 is the description of the new Multicriterial clustering association rules method. Chapter 7 consists of several experiments. Chapter 8 discuss possibilities of usage and development of the new method.
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Křížová, Aneta. „Vývoj biofyzikální interpretace dat kvantitativního fázového zobrazování“. Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-401606.
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This doctoral thesis deals with biophysical interpretation of quantitative phase imaging (QPI) gained with coherence-controlled holographic microscope (CCHM). In the first part methods evaluating information from QPI such as analysis of shape and dynamical characteristics of segmented objects as well as evaluation of the phase information itself are described. In addition, a method of dynamic phase differences (DPD) is designed to allow more detailed monitoring of cell mass translocations. All of these methods are used in biological applications. In an extensive study of various types of cell death, QPI information is compared with flow cytometry data, and preferably a combination of QPI and fluorescence microscopy is used. The DPD method is used to study mass translocations inside the cell during osmotic events. The simplified DPD method is applied to investigate the mechanism of tumor cell movement in collagen gels.
5
Novák, Petr. „Analýza panelových dat“. Master's thesis, Vysoká škola ekonomická v Praze, 2006. http://www.nusl.cz/ntk/nusl-4311.
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Tato diplomová práce je zaměřena na seznámení se s problematikou týkající se analýzy panelových dat, vysvětlení základních odhadových technik statických a dynamických panelových modelů. Její nedílnou součástí je analýza panelových jednotkových kořenů s aplikací na konkrétních datech ? vývoj exportu 29 zemí. Poslední část práce tvoří přehled používaného aplikačního softwaru při práci s panelovými daty.
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Prajer, Jiří. „Analýza burzovních dat“. Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-77888.
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The thesis describes the stock exchange environment, the system and its basic operating principles. The thesis further focuses on the stock exchange data and its analysis. The author describes the development of the technical analysis; he mentions the classical theory and the classical graphical methods, the modern graphical methods, the technical indicators and finally the latest analytical methods, the so-called Artificial Intelligence. The research focuses on the real stock market prediction using the artificial intelligence methods and knowledge of the modern technical analysis.
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Novotný, Jan. „Multispektrální analýza obrazových dat“. Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2009. http://www.nusl.cz/ntk/nusl-228360.
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The airborne hyperspectral remote sensing is used as an approach to monitor actual state of environmental components. This thesis covers priority treatment to analyse of hyperspectral data with the aim of a tree crowns delineation. Specific algorithm applying adaptive equalization and the Voronoi diagrams is designed to subdivide a forest area into individual trees. A computer program executes the algorithm and allows testing it on real data, checking and analyzing the results.
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Starý, Přemysl. „Analýza jízdních dat vozidla“. Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-254457.
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The diploma thesis deals with a data analysis of the Formula Student race car. An attention is given for both, vehicle and driver. Processes of braking, turning and balance of car are analysed. Special attention is given to the dampers positions while driving and their settings. Dampers velocity histograms and ride frequencies graph are put together. Algorithms in MATLAB are suggested to reduce requested time for analysis. Scripts for displaying important channels are made. Analyzed data are used to create events which accelerate orientation in record and tell the most important information.
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Gerych, Petr. „Analýza globálních meteorologických dat“. Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236608.
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The thesis generally describes matters of data warehouses and knowledge discovery in databases. Then it focuses on the meteorological databases and their problems. The practical part of thesis describes design methods for data mining project, NOAA Global Surface Summary of the Day (GSOD), which is then implemented in two different ways using the Pentaho tools. Finally, an evaluation and comparison of these two approaches.
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Sedlák, Jan. „Analýza dat na sociálních sítích s využitím dolování dat“. Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234894.
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This thesis deals with data mining on social networks. It introduces data mining itself and its utilization on data analysis on social networking services. It analyses APIs of Facebook, Twitter, Google+, LinkedIn and GitHub with respect to data mining. It presents implementation of application for downloading dataset from GitHub and it deals with experiments with obtained dataset. Finally, it introduces design and implementation of application that analyses future project activity.
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Fešar, Marek. „Analýza dat na sociálních sítích s využitím dolování dat“. Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2014. http://www.nusl.cz/ntk/nusl-236086.
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The thesis presents general principles of data mining and it also focuses on specific needs of social networks. Certain social networks, chosen with respect to popularity and availability to Czech users, are discussed from various points of view. The benefits and drawbacks of each are also mentioned. Afterwards, one suitable API is selected for futher analysis. The project explains harvesting data via Twitter API and the process of mining of data from this particular network. Design of a mining algorithm inspired by density based clustering methods is described. The implementation is explained in its own chapter, preceded by thorough explanation of MVC architectural pattern. In the end some examples of usage of gathered knowledge are shown as well as possibility of future extensions.
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Ištvánek, Matěj. „Analýza interpretace hudby metodami číslicového zpracování signálu“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400860.
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This diploma thesis deals with methods of the onset and tempo detection in audio signals using specific techniques of digital processing. It analyzes and describes the issue from both the musical and the technical side. First, several implementations using different programming environments are tested. The system with the highest detection accuracy and adjustable parameters is selected, which is then used to test functionality on the reference database. Then, an extension of the algorithm based on the Teager-Kaiser energy operator in the preprocessing stage is created. The difference in accuracy of both systems is compared – the operator has on average increased the accuracy of detection of a global tempo and inter-beat intervals. Finally, a second dataset containing 33 different interpretations of the first movement of Bedřich Smetana’s composition, String Quartet No. 1 in E minor "From My Life". The results show that the average tempo of the entire first movement of the song slightly decreases depending on the later year of the recording.
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Kvapil, Josef. „Analýza dat z jedoucího vozidla“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219318.
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The thesis deals with data analysis obtained from the traffic simulator. The data are from trajectory of vehicle movement. The analysis are suggested to driving trajectory which are obtained from the characteristic parameters for the subsequent detection of the critical vehicle position. Analysis and evaluation of the detection critical vehicle position are solved in the Matlab program scripts.
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Krajčír, Róbert. „Počítačová analýza medicínských obrazových dat“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220590.
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This work deals with medical image analysis, using variety of statisic and numeric methods implemented in Eclipse and Rapidminer environments in Java programming language. Sets of images (slices), which are used here, are the results of magnetic resonance brain examination of several subejcts. Segments in this 3D image are analyzed and some local features are computed, based on which data sets for use in training algorythms are generated. The ability of successful identification of healthy or unhealthy tissues is then practically tested using available data.
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Süss, Ivo. „Kvantitativní analýza schémat zálohování dat“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400929.
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The aim of master thesis was to create a program for the quantitative analysis of data backup schemes and with its help to identify and analyze the properties of commonly used schemes for different loads. Based on the obtained results, compile a set of principles for choosing the optimal data backup scheme. The program was created by Matlab. It can be used to find out parameters for individual backup schemes: Parameters C (total backup volume) and E (medium volume of recovery backups), backups size of individual days, workload of individual storages, cost of storages and cost of overall backup scheme, size the total amount of data written per storage per time slot. At the end of the thesis is defined a scheme for choosing the optimal backup scheme.
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Kutina, Michal. „Analýza burzovních dat metodami UI“. Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-15866.
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The graduation thesis "Analysis of stock-exchange data using AI methods" is focused on the use of neural networks while predicating the exchange-rate movements on Change. The theoretical part is divided into three independent units. The Change matters and the related individual terms are described in the first part. In the second part, the two basic approaches to the stock-exchange data analysis are analyzed, these two approaches being the fundamental and technical analysis. The third, and the last, theoretical part forms an individual unit describing the Artificial Intelligence theory. Particularly the issue of the neuronal networks is described in detail. The practical part seeks the use for the chosen neuronal network GAME. It analyses the chosen YMZ9 market. It focuses on the prediction of the exchange-rate movements using the "sliding window" method. The last chapter summarizes the results and it proves that under certain circumstances it is possible to properly use the neuronal networks both for the prediction of the stock-exchange movements and as one of the corner-stones of the profitable trading system.
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Šubrt, Jiří. „Analýza finančních dat metodami ekonofyziky“. Master's thesis, Vysoká škola ekonomická v Praze, 2012. http://www.nusl.cz/ntk/nusl-113910.
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For financial forcasting of crisis new concepts from disciplines dissimilar to economics are looked for by financial experts. The branch of econophysics using theories of natural sciences is significant. The meaning of this work is to point out one of many methods applied to financial data with help of the theory of turbulence of fluids and deterministic chaos. We provide a parallel analysis of high frequency financial time series of a stock index and velocities of a turbulent fluid. This work concerns the use of concepts from statistical mathematics, probability theory and scaling. We find differences of both studied systems but the methodologies of natural diciplines can be also applied to financial data.
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Smrčková, Zuzana. „Motilita leukemických buněk analyzovaná nekoherentním holografickým kvantitativním zobrazováním fáze“. Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-444984.
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This diploma thesis deals with the issue of motility analysis in leukemia cells. An accurate description of the cell movement and the detection of differences in motility under experimental conditions can be obtained by quantitative analysis of cell motility using time-lapse recording. The first part of this work describes various types of tumor cell migraton. The second part focuses on methods of analysis of cell motility in tissue culture using time-lapse recording, which include image acquisition and processing. Part of this chapter describes a coherence-controlled holographic microscope, which was used in the practical part and for which an insert was designed to ensure the exact and stable position of the individual chambers. The last part is focused on the research of leukemic cell motility, which is concluded by a discussion of the obtained results. The appendix contains a published study included acknowledgement to the author of this diploma thesis for participation in the project.
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Hudrlíková, Lenka. „Kompozitní indikátory: konstrukce, využití, interpretace“. Doctoral thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-191786.
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This thesis brings a comprehensive view on the construction, usage and interpretation of composite indicators. Methods and techniques, which can be used for constructing composite indicators, are introduced. The focus is on their contribution to the transparent solution of the problem of correlation and compensability among underlying indicators. Transparency in construction of composite indicators is a crucial requirement for obtaining reliable results and their correct interpretation. The thesis consists of two main parts. The first part is theoretically oriented. First, the problem of adequacy and subsequently a measurement of the phenomenon by means of statistical indicators are discussed. Different methods for data normalization, setting a weighting scheme and aggregation are introduced and compared. These three steps are considered to be crucial in a process of constructing a composite indicator and thus, they are the core of the thesis. The aim is to investigate an interaction of normalization methods, weight-setting and aggregation methods, since these steps are not separate. The second part of the thesis consists of two comprehensive cases. Theoretical findings are applied and empirically verified in these cases. I investigated a robustness of the composite indicator depending on a combination of selected methods of normalization, setting weights and aggregation on a set of Europe 2020 indicators. Whereas this first case dealt with the comparative analysis of methods, the second case is focused purely on one issue -- university ranking. The proposed method reacts to criticism of currently published university rankings and takes into account specifics of the particular university as well as the exogenous background characteristics. The main added value rests in a contribution to a discussion about the improvement of construction and overall quality of composite indicators including their interpretation. I pointed out the main concerns and difficulties of composite indicators that often remain unnoticed by users and even constructors. The conclusion brings several beneficial findings, which can be used for the construction of a composite indicator and an interpretation of final scores and ranking. This work can also serve as a scientific ground for further research and development of the methodology of constructing composite indicators.
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Fančal, Petr. „Analýza zvukové interpretace hudby metodami číslicového zpracování signálu“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-317017.
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The aim of this master's thesis is the analysis of musical compositions from the standpoint of time resources of music. The introduction briefly describes the basic musicological terms and variables that are in direct relationship to the time resources in expressive music performance. The following part of the work is devoted to the known methods of digital signal processing, suitable for music information retrieval from audio recordings. In the practical part these methods are demonstrated on three recordings in MATLAB environment and the results were compared in terms of used agogics.
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Abraham, Lukáš. „Analýza dat síťové komunikace mobilních zařízení“. Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2020. http://www.nusl.cz/ntk/nusl-432938.
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At the beginning, the work describes DNS and SSL/TLS protocols, it mainly deals with communication between devices using these protocols. Then we'll talk about data preprocessing and data cleaning. Furthermore, the thesis deals with basic data mining techniques such as data classification, association rules, information retrieval, regression analysis and cluster analysis. The next chapter we can read something about how to identify mobile devices on the network. We will evaluate data sets that contain collected data from communication between the above mentioned protocols, which will be used in the practical part. After that, we finally get to the design of a system for analyzing network communication data. We will describe the libraries, which we used and the entire system implementation. We will perform a large number of experiments, which we will finally evaluate.
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Zamazal, Petr. „Statistická analýza rozsáhlých dat z průmyslu“. Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-445466.
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This thesis deals with processing of real data regarding waste collection. It describes select parts of the fields of statistical tests, identification of outliers, correlation analysis and linear regression. This theoretical basis is applied through the programming language Python to process the data into a form suitable for creating linear models. Final models explain between 70 \% and 85 \% variability. Finally, the information obtained through this analysis is used to specify recommendations for the waste management company.
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Menšík, David. „Analýza přenosu dat v konvergované síti“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-218839.
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This thesis deals with data transmission applications in the converged network, focusing on the WiFi network IEEE 802.11. The theoretical part describes the cause and nature of converged networks. One chapter is devoted to a description of IEEE 802.11, which is next to different standards and options described architecture, coordination and access network QoS solution to that standard. The research is based on custom design converged networks, and WiFi elements in the environment of graphic simulation software OPNET Modeler. In the proposed network was also simulated the operation of services such as voice, video conferencing, FTP and HTTP streaming. Results of simulation data traffic in the network are then analyzed. At the Conclusion of the thesis, is in OPNET Modeller program created the role of laboratory. The essence here is the comparison of operating a converged network, with and without quality support services.
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Slavíček, Martin. „Analýza provozních dat pro účely optimalizace“. Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-229256.
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This thesis deals with analysis of operation data for purposes of optimization. The thesis is divided into four chapters. First chapter focuses on present and future development in waste management legislation. It mainly deals with prevention, recycling and disposal of waste. Second chapter more closely describes waste-to-energy process. This chapter also describes the technology of municipal waste incinerator in Liberec, Termizo, a.s. Third chapter starts with description of tools used in design of the models based on operation data. Then the models for individual technological nodes are described. The last part is focused on building a complex model of Termizo using previous results.
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Kováčik, Dušan. „Analýza a predikce z GPS dat“. Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234909.
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This paper deals with the analysis of the collected GPS data and the possibility of the prediction of most advantageous route on its basis, by the application written in the PHP scripting language. The suitability of the route is considered by the distance, driving time, or elevation. The thesis also describes a GPS system, the format of the source data and their storing in an appropriate database. There is also a description of the search of the shortest path in the graph and some famous algorithms for finding it. The paper includes information about implementation of new data integration and path finding within this data in PHP scripting language. In conclusion it is evaluated what are the benefits of this application and design saying how this application can be improved in the future.
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Sychra, Martin. „Analýza sentimentu s využitím dolování dat“. Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255424.
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The theme of the work is sentiment analysis, especially in terms of informatics (marginally from a linguistic point of view). The linguistic part discusses the term sentiment and language methods for its analysis, e.g. lemmatization, POS tagging, using the list of stopwords etc. More attention is paid to the structure of the sentiment analyzer which is based on some of the machine learning methods (support vector machines, Naive Bayes and maximum entropy classification). On the basis of the theoretical background, a functional analyzer is projected and implemented. The experiments are focused mainly on comparing the classification methods and on the benefits of using the individual preprocessing methods. The success rate of the constructed classifier reaches up to 84 % in the cross-validation.
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Radonský, Tomáš Bc. „Analýza nákladů alternativ uschování pacientských dat“. Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-1915.
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Provést ekonomickou analýzu způsobu získávání a uchování pacientských dat ?moderními? metodami (IS +PACS) v porovnání se ?staršími? (fotografie, rentgeny, papír). Zhodnotit přínos zavedení moderních metod.
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Helcl, Zbyněk. „Shluková analýza víceroměrných dat neuronovou sítí“. Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-3810.
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The topic of the present thesis is an analysis of a sample data archive containing measured values of real and reactive power. The measurement in question took place in late 2006 and early 2007 using MEg40 recording measurement devices disposed in a station for transforming high voltage to low voltage in the Pražská energetika distribution network. The procedure of processing measured values, the preparation thereof for a subsequent processing by a neural network, and a final statistical evaluation of determined individual clusters -- typical daily take-off diagrams -- will be described. The results of the present thesis may be applied in the making of predictions of electrical energy consumption at a particular transformer station.
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Jurečka, Jan. „Analýza BI dat pomocí geografického systému“. Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-197063.
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The topic of the current Master's thesis is Business Intelligence's data presentation using maps. Through integrating BI and geographic information systems a new discipline is emerging - Location Intelligence. The main goal of this thesis is to highlight and analyse reporting possibilities of the BI tools in the framework of maps. The theoretical part of this paper is dedicated to the foundation and principles of geographic information systems and their intersection with BI, where such field as Location Intelligence is being created. In the practical part of the thesis the BI tools IBM Cognos and Oracle BI are compared. The comparison is based on the following criteria: field of implementation, visualization, map external sources and performance. The evaluating criteria are defined in the beginning of the practical part as well as the evaluation method. The methods of analysis and information collecting were used to extract and revise the knowledge from specific electronic and printed sources in Czech or English. Sources for the practical part origin from my technical knowledge of the field of BI, as well as practical experience with implementation of map sources as a feature of Business Intelligence. Statistical methods are used for evaluation of the criteria results. The practical and theoretical value of the thesis lies in creating the lucid comparison of implementation of the map sources into the selected BI tools and options for reporting or visualization of BI data over map. Apart from comparison the framework for implementation of maps into the selected BI tools is established in the above mentioned work.
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Šimeček, Petr. „Analýza reálných dat z restauračního prostředí“. Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-198455.
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The aim of this thesis is to analyze the real data from the restaurant sector in the center of Prague, prove assumptions based on existing knowledge and explore hidden relations. The database management system MySQL was used for the initial transformation of the original data structure. The data after the transformation were converted into a form that it was possible to manipulate with it using the procedure LMDataSource of the system LISp-Miner. The analysis of association of relations were used for the procedure 4ft-Miner of the system LISp-Miner. The MySQL database system was used for the frequency analysis to obtain results, and Microsoft Word and Excel were used to interpret the results. Some of the assumptions in the research were found proven. Furthermore, an interesting combination of relations was discovered. The output of this work allows the owner of the data to use some of the data analysis results for the optimization of internal processes. In addition, this study points out other possible ways to analyze these data.
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Sobíšek, Lukáš. „Shluková a regresní analýza mikropanelových dat“. Doctoral thesis, Vysoká škola ekonomická v Praze, 2010. http://www.nusl.cz/ntk/nusl-261941.
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The main purpose of panel studies is to analyze changes in values of studied variables over time. In micro panel research, a large number of elements are periodically observed within the relatively short time period of just a few years. Moreover, the number of repeated measurements is small. This dissertation deals with contemporary approaches to the regression and the clustering analysis of micro panel data. One of the approaches to the micro panel analysis is to use multivariate statistical models originally designed for crosssectional data and modify them in order to take into account the within-subject correlation. The thesis summarizes available tools for the regression analysis of micro panel data. The known and currently used linear mixed effects models for a normally distributed dependent variable are recapitulated. Besides that, new approaches for analysis of a response variable with other than normal distribution are presented. These approaches include the generalized marginal linear model, the generalized linear mixed effects model and the Bayesian modelling approach. In addition to describing the aforementioned models, the paper also includes a brief overview of their implementation in the R software. The difficulty with the regression models adjusted for micro panel data is the ambiguity of their parameters estimation. This thesis proposes a way to improve the estimations through the cluster analysis. For this reason, the thesis also contains a description of methods of the cluster analysis of micro panel data. Because supply of the methods is limited, the main goal of this paper is to devise its own two-step approach for clustering micro panel data. In the first step, the panel data are transformed into a static form using a set of proposed characteristics of dynamics. These characteristics represent different features of time course of the observed variables. In the second step, the elements are clustered by conventional spatial clustering techniques (agglomerative clustering and the C-means partitioning). The clustering is based on a dissimilarity matrix of the values of clustering variables calculated in the first step. Another goal of this paper is to find out whether the suggested procedure leads to an improvement in quality of the regression models for this type of data. By means of a simulation study, the procedure drafted herein is compared to the procedure applied in the kml package of the R software, as well as to the clustering characteristics proposed by Urso (2004). The simulation study demonstrated better results of the proposed combination of clustering variables as compared to the other combinations currently used. A corresponding script written in the R-language represents another benefit of this paper. It is available on the attached CD and it can be used for analyses of readers own micro panel data.
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Jun, Jakub. „Analýza sběru dat ve vybrané firmě“. Master's thesis, Vysoká škola ekonomická v Praze, 2017. http://www.nusl.cz/ntk/nusl-360181.
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The main focus of this thesis is on data gathering process in the chosen company. The main goal of the thesis is to map the process of data gathering, analyse the current situation and suggest improvements based on revealed problems. The thesis is divided into two parts. The first part focuses on the theoretical foundation of data gathering. There are mentions of the basics of quality management and parts of the ISO 9001:2015 which can be applied to data gathering systems, process and the tools for its mapping and the methods of data gathering. There is a part which focuses on FMEA method, which is used for the analysis of the current state of the process. The second part introduces chosen company. There are used a few tools to map the process with the focus on spots where the data are gathered. According to the FMEA method and its process, there is an analysis of the current system. The attention is paid to the problematic parts of the process of data gathering. Then there can be found few propositions how to make the data gathering process in the company better.
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Peter, Roman. „Fúze a analýza multidimenzionálních medicínských obrazových dat“. Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-233584.
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Analýza medicínských obrazů je předmětem základního výzkumu již řadu let. Za tu dobu bylo v této oblasti publikováno mnoho výzkumných prací zabývajících se dílčími částmi jako je rekonstrukce obrazů, restaurace, segmentace, klasifikace, registrace (lícování) a fúze. Kromě obecného úvodu, pojednává tato disertační práce o dvou medicínsky orientovaných tématech, jež byla formulována ve spolupráci s Philips Netherland BV, divizí Philips Healthcare. První téma je zaměřeno na oblast zpracování obrazů subtrakční angiografie dolních končetin člověka získaných pomocí výpočetní X-Ray tomografie (CT). Subtrakční angiografie je obvykle využívaná při podezření na periferní cévní onemocnění (PAOD) nebo při akutním poškození dolních končetin jako jsou fraktury apod. Současné komerční metody nejsou dostatečně spolehlivé už v předzpracování, jako je například odstranění pacientského stolu, pokrývky, dlahy, apod. Spolehlivost a přesnost identifikace cév v subtrahovaných datech vedoucích v blízkosti kostí je v důsledku Partial Volume artefaktu rovněž nízká. Automatické odstranění kalcifikací nebo detekce malých cév doplňujících nezbytnou informaci o náhradním zásobení dolních končetin krví v případě přerušení hlavních zásobujících cév v současné době rovněž nesplňují kritéria pro plně automatické zpracování. Proto hlavním cílem týkající se tohoto tématu bylo vyvinout automatický systém, který by mohl současné nedostatky v CTSA vyšetření odstranit. Druhé téma je orientováno na identifikaci patologických změn na páteři člověka v CT obrazech se zaměřením na osteolytické a osteoblastické léze u jednotlivých obratlů. Tyto změny obvykle nastávají v důsledků postižení metastazujícím procesem rakovinového onemocnění. Pro detekci patologických změn je pak potřeba identifikace a segmentace jednotlivých obratlů. Přesnost analýzy jednotlivých lézí však závisí rovněž na správné identifikaci těla a zadních segmentů u jednotlivých obratlů a na segmentaci trabekulárního centra obratlů, tj. odstranění kortikální kosti. Během léčby mohou být pacienti skenováni vícekrát, obvykle s několika-mesíčním odstupem. Hodnocení případného vývoje již detekovaných patologických změn pak logicky vychází ze správné detekce patologií v jednotlivých obratlech korespondujících si v jednotlivých akvizicích. Jelikož jsou příslušné obratle v jednotlivých akvizicích obvykle na různé pozici, jejich fúze, vedoucí k analýze časového vývoje detekovaných patologií, je komplikovaná. Požadovaným výsledkem v tomto tématu je vytvoření komplexního systému pro detekci patologických změn v páteři, především osteoblastických a osteolytických lézí. Takový systém tedy musí umožnovat jak segmentaci jednotlivých obratlů, jejich automatické rozdělení na hlavní části a odstranění kortikální kosti, tak také detekci patologických změn a jejich hodnocení. Ačkoliv je tato disertační práce v obou výše zmíněných tématech primárně zaměřena na experimentální část zpracování medicínských obrazů, zabývá se všemi nezbytnými kroky, jako je předzpracování, registrace, dodatečné zpracování a hodnocení výsledků, vedoucími k možné aplikovatelnosti obou systému v klinické praxi. Jelikož oba systémy byly řešeny v rámci týmové spolupráce jako celek, u obou témat jsou pro některé konkrétní kroky uvedeny odkazy na doktorskou práci Miloše Malínského.
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Brož, Petr. „Zpracování a analýza oftalmologických obrazů a dat“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219730.
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In this work is describe anatomy and physiology of the cornea. The following are the primary non-inflamatory degeneration of the cornea. Then describe the physical principles diagnostic devices for cornea – keratometer, pachymeter, Michelson interferometr and optical coherence tomography (OCT). At the end of the theoretical introduction is describes the principle of laser correction surgery – LASIK. The practical part is divided into two main objectives. The first task is propose an algorithm for automatic detection of corneal surface and then calculation of corneal thickness and size of the chamber angle in Matlab. The aim of the second task is image flap analysis for boundary detection.
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Klímová, Lenka. „Analýza ekonomických dat s využitím statistických metod“. Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2016. http://www.nusl.cz/ntk/nusl-224827.
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The teoretical part of the thesis focuses on timeline and also on economic issues of mainly ratio indicators and their interpratation. The aim of this work is to analyze and evaluate selected economic indicators of the company, using timeline analysis and regressive analysis. The analysis is related to value prediction of selected economic indicators which I predicted for the next two years (2014 and 2015). Based on the detected values I proposed measures for successful future development of the company. I have processed the data using Gretl and Microsoft Excel programs.
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Prišť, Lukáš. „Analýza obchodních dat využitím metod rozpoznání vzoru“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-220412.
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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.
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Matějková, Petra. „Analýza ekonomických dat s využitím statistických metod“. Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318359.
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This master‘s thesis evaluates the financial situation of the company using selected indicators of financial analysis using time series analysis and regression analysis. Theses is separated into two parts. The theoretical part focuses on the issue of economic indicators, financial analysis, interpretation and on time series. The practical part deals with analysis of economic indicators, which will then be subjected to statistical analysis, which tries using statistical methods to analyse the trend of individual indicators and on the basis of values from previous periods to predict future developments.
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Štens, Radovan. „Analýza obrazových dat funkční magnetické rezonance (fMRI)“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-375489.
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Master's thesis focuses on processing fMRI data, which are mapping blood oxygenation level dependence in a state of brain activity. Usable and necessarily preprocessing tech- niques of the data, together with two main analysis approaches are introduced. The area of univariate methods, especially general linear model and multivariate principal or independent component analysis is explained. Practical application of the methods involved on the real fMRI data set is implemented. Relevant results as well as theirs mutual possible comparison is presented.
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Foltýnová, Veronika. „Multidimenzionální analýza dat a zpracování analytického zobrazení“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-376922.
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This thesis deals with the analysis and display of multidimensional data. In the theoretical part, the issue of data mining, its tasks and techniques, and a brief explanation of the terms Business Intelligence and data warehouse are presented. The issue of databases is also described in this thesis. Subsequently, the options for displaying multidimensional data are described. At the end of the theoretical part is briefly explained the problems of optical networks and especially the terms Gigabit passive optical network and its frame, because the data from the frames of this network will be displayed by an application. In the practical part, you can find creating a source database and an application to create a OLAP cube and display multidimensional data. This application is based on the theoretical knowledge of multidimensional databases and OLAP technology.
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Chmiel, Filip. „Analýza senzorických dat pro pokročilé uživatelské rozhraní“. Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236186.
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The paper deals with the creation of interface based on multiple input signals, i.e. multimodal interface. For this purpose analyzes the benefits of the approach to communicate with the device that way. The work also includes an overview of the level at which you can perform data fusion, and different approaches to the layout of the system architecture for multimodal data processing. The important part is the actual design of the system, where for the interface was chosen distributed architecture using software agents for processing inputs. As a method for data integration was picked hybrid fusion based on dialog driven and unification strategy. The result should be an interface for media center control and interaction with other devices around the user.
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Huf, Petr. „Fundamentální analýza numerických dat pro automatický trading“. Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255325.
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This thesis is aimed to exploitation of fundamental analysis in automatic trading. Technical analysis uses historical prices and indicators derived from price for price prediction. On the opposite, fundamental analysis uses various information resources for price prediction. In this thesis, only quantitative data are used. These data sources are namely weather, Forex, Google Trends, WikiTrends, historical prices of futures and some fundamental data (birth rate, migration, \dots). These data are processed with LSTM neural network, which predicts stocks prices of selected companies. This prediction is basis for created trading system. Experiments show major improvement in results of the trading system; 8\% increase in success prediction accuracy thanks to involvement of fundamental analysis.
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Pohl, Ondřej. „Analýza veřejně dostupných dat Českého statistického úřadu“. Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2017. http://www.nusl.cz/ntk/nusl-363884.
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The aim of this thesis is analysis of data of the Czech Statistical Office concerning foreign trade. At first, reader familiarize with Business Intelligence and data warehousing. Further, OLAP analysis and data mining basics are explained. In next parts the thesis deal with describing and analysis of data of foreign trade by the help of OLAP technology and data mining in MS SQL Server including selected analytical tasks implementation.
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Kocman, Tomáš. „Automatizovaná analýza a archivace dat z webu“. Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403129.
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This thesis is focused on cybercrime, acquisition of evidence and development of a platform for retrieval, analysis and archiving web site data. The goal is to satisfy the investigators and security experts of the Czech police. The aim is to provide an open source platform that will be freely disseminable and in compliance with the requirements of legal institutions. The output of the thesis is two platform versions - full-fledged, fulfilling all the requirements set out in the diploma thesis and a light version for the police investigators of the Czech Republic.
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Brada, Tomáš. „Analýza původu vzniku interpretace za pomoci metod parametrizace hudebního signálu“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-401950.
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Presented thesis summarizes existing findings in the problematics of music recording comparison, in the field of so-called Music Information Retrieval. One of the goals of the thesis is to perform analysis of multiple musical renditions from the point of view of the tempo, dynamics and sound timbre. From the obtained data, such musical parameters will be chosen which exhibit the biggest potential to differentiate the origine of the individual renditions.
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Václavík, Marek. „Analýza dat a reportování vsystému ALVAO Service Desk“. Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2021. http://www.nusl.cz/ntk/nusl-444628.
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The diploma thesis focuses on the analysis of the current state of reporting and data analysis of the ALVAO Service Desk system in the company's internal operation. Based on the findings of deficiencies, a new method of reporting and data analysis on the Microsoft Power BI platform is proposed. The proposal includes the entire Power BI feature cycle from data accessing to sharing.
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Odstrčilík, Jan. „Analýza obrazových dat sítnice pro podporu diagnostiky glaukomu“. Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-233628.
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Fundus kamera je široce dostupné zobrazovací zařízení, které umožňuje relativně rychlé a nenákladné vyšetření zadního segmentu oka – sítnice. Z těchto důvodů se mnoho výzkumných pracovišť zaměřuje právě na vývoj automatických metod diagnostiky nemocí sítnice s využitím fundus fotografií. Tato dizertační práce analyzuje současný stav vědeckého poznání v oblasti diagnostiky glaukomu s využitím fundus kamery a navrhuje novou metodiku hodnocení vrstvy nervových vláken (VNV) na sítnici pomocí texturní analýzy. Spolu s touto metodikou je navržena metoda segmentace cévního řečiště sítnice, jakožto další hodnotný příspěvek k současnému stavu řešené problematiky. Segmentace cévního řečiště rovněž slouží jako nezbytný krok předcházející analýzu VNV. Vedle toho práce publikuje novou volně dostupnou databázi snímků sítnice se zlatými standardy pro účely hodnocení automatických metod segmentace cévního řečiště.
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Klein, Martin. „Analýza a zpracování naměřených dat z nárazových zkoušek“. Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-241369.
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This thesis presents four crash test of two cars, in which always a moving vehicle strikes with fully overlaid front part into the side part (cabin for passengers) of another stationary vehicle. Crash test were carried out to detect the impact parameters for use in the road accidents analysis. Experimentally measured data and the acquisition of documentation during crash tests were therefore analyzed in an appropriate manner in order to obtain relevant impact parameters. One of the main evaluated parameters was the deformation energy that has been used for the permanent damage to vehicles. In the forensic engineering practice for analyzing vehicle impacts is as a control parameter used EES (Energy Equivalent Speed), this parameter was counted according to measured values during crash tests.
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Dopita, Michal. „Objektivní analýza dat získaných během měření kvality signálu“. Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-317219.
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This thesis is focused on objective analysis of data obtained during quality of service measurements provided by the company O2 Czech Republic Inc. Purpose of this study is mapping of existing methods, resources and ways of measurement. The result of practical part is design of new methodology of measurement for the department RAN Management, which is responsible for measurement of quality of services.
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Mikulášková, Lucie. „Analýza naměřených dat z nárazových zkoušek - čelní střety“. Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-318563.
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In this thesis are solved the problematics of crash tests. It is focused primarily on front impacts with full or part overlap. In the introduction are described the best known methods used in forensic - engineering practice for determination of energy equivalent speed (EES). Exactly specified impact tests, which are part of passive safety, are being addressed by several organizations around the world. In the practical part of this diploma thesis are solved four frontal impact tests, which were documented with the participation of the Institute of Forensic Ingeneering BUT in Brno.. These impact tests were performed to capture and analyze the data, resulting in the deformation energy used for permanent damage to the vehicle. Subsequently, the EES parameters were set for each vehicle.
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Tillhonová, Veronika. „Analýza naměřených dat z nárazových zkoušek - kolmé střety“. Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-318573.
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The diploma thesis deals with crash tests. Many international organizations specialize directly in conducting crash tests. Impact test simulates vehicle collision. The three most common test are front, side, and backstreets. The diploma thesis focuses on side conflicts. Side clashes are characterized by the fact that the first vehicle is damaged at the front and the second in the side. The measured data from these tests was evaluated to obtain the deformation energy consumed for permanent damage to vehicles. Deformation energy was calculated as equivalent to the individual speed of individual vehicles. EES values have been evaluated by various methods used in expert practice and compared. The impact tests were simulated to clarify assistance to experts in the analysis of traffic accidents.