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Switching off of Electrical Tools by Voice
Rozsypálek, Lukáš ; Šebesta, Vladimír (referee) ; Sigmund, Milan (advisor)
In theoretical part Master’s thesis deals with processing acoustic signal before speech recognition. There are described methods of automatic speech recognition and capture attributes. Those methods are short-term energy of signal, short-term autocorrelation analysis, linear predictive analysis etc. In practical part has been created software, which has to switch off of electrical tool, if the keyword “zastav” has been spoken. In the second part of this thesis software has been optimized for work in real conditions (noise generated by electrical tools).
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Hydrological Time Series Analysis for Chosen Sub Catchment in Morava River Basin
Černý, Vojtěch ; Benáčková, Kateřina (referee) ; Marton, Daniel (advisor)
Current climate conditions raise questions about how climate change should affect the hydrological regime of the Czech Republic. The main questions are: I) Is climate change serious and is it already tangible in hydrological series? II) Are there significant changes in the climatic conditions, or in the flow of the river network? III) How does climate change affect hydrological conditions in the catchment? IV) Are there non-stationary tendencies in the hydrological series caused by climate change? The aim of this work was to perform a basic analysis of hydrological time series and estimated its possible changes. The analysis was done with using autocorrelation function, spectral density, moving averages methods, statistical characteristics, empirical line of probability of exceeding and last but not least by decomposing the time series. The practical application was applied on time series of average monthly flows determined in the hydrometric profile of Dalečín in the Svratka river basin.
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Water Management Analysis of Storage Capacity of the Vranov Reservoir
Vítková, Lucie ; Havlík, Martin (referee) ; Marton, Daniel (advisor)
The current persistent drought and changes in the climate system have raised water managers expert questions about how to manage water resources in the future. The manifestation of climate change in hydrological series and their influence on the magnitude of threats to the storage functions of reservoirs are more often investigated. Already today, long-term shortages of storage capacity in reservoirs lead to the introduction of special manipulations on water structures. The aim of the thesis is to perform the analysis of time series, respectively decomposition of hydrological series average annual and monthly discharges. Create extended hydrological bases using synthetic discharge series generators and develop a comprehensive analysis of storage volume without considering losses even with the introduction of losses from the water surface vapor in the UNCE RESERVOIR program. The created discharge series are compared and evaluated on the basis of statistical characteristics and reservoir storages results with the real discharge series. The practical app is conducted on the Vranov reservoir in the Dyje River Basin.
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Robust estimation of autocorrelation function
Lain, Michal ; Hudecová, Šárka (advisor) ; Hlávka, Zdeněk (referee)
The autocorrelation function is a basic tool for time series analysis. The clas- sical estimation is very sensitive to outliers and can lead to misleading results. This thesis deals with robust estimations of the autocorrelation function, which is more resistant to the outliers than the classical estimation. There are presen- ted following approaches: leaving out the outliers from the data, replacement the average with the median, data transformation, the estimation of another coeffici- ent, robust estimation of the partial autocorrelation function or linear regression. The thesis describes the applicability of the presented methods, their advantages and disadvantages and necessary assumptions. All the approaches are compared in simulation study and applied to real financial data. 1
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Water Management Analysis of Storage Capacity of the Vranov Reservoir
Vítková, Lucie ; Havlík, Martin (referee) ; Marton, Daniel (advisor)
The current persistent drought and changes in the climate system have raised water managers expert questions about how to manage water resources in the future. The manifestation of climate change in hydrological series and their influence on the magnitude of threats to the storage functions of reservoirs are more often investigated. Already today, long-term shortages of storage capacity in reservoirs lead to the introduction of special manipulations on water structures. The aim of the thesis is to perform the analysis of time series, respectively decomposition of hydrological series average annual and monthly discharges. Create extended hydrological bases using synthetic discharge series generators and develop a comprehensive analysis of storage volume without considering losses even with the introduction of losses from the water surface vapor in the UNCE RESERVOIR program. The created discharge series are compared and evaluated on the basis of statistical characteristics and reservoir storages results with the real discharge series. The practical app is conducted on the Vranov reservoir in the Dyje River Basin.
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Hydrological Time Series Analysis for Chosen Sub Catchment in Morava River Basin
Černý, Vojtěch ; Benáčková, Kateřina (referee) ; Marton, Daniel (advisor)
Current climate conditions raise questions about how climate change should affect the hydrological regime of the Czech Republic. The main questions are: I) Is climate change serious and is it already tangible in hydrological series? II) Are there significant changes in the climatic conditions, or in the flow of the river network? III) How does climate change affect hydrological conditions in the catchment? IV) Are there non-stationary tendencies in the hydrological series caused by climate change? The aim of this work was to perform a basic analysis of hydrological time series and estimated its possible changes. The analysis was done with using autocorrelation function, spectral density, moving averages methods, statistical characteristics, empirical line of probability of exceeding and last but not least by decomposing the time series. The practical application was applied on time series of average monthly flows determined in the hydrometric profile of Dalečín in the Svratka river basin.
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Analysis of Climate Model Outputs
Chládová, Zuzana ; Raidl, Aleš (advisor) ; Pišoft, Petr (referee) ; Kliegrová, Stanislava (referee)
Title: Analysis of Climate Model Outputs Author: RNDr. Zuzana Chládová E-mail: zuzana.chladova@gmail.com Department: Department of Meteorology and Environment Protection, Faculty of Mathematics and Physics, Charles University in Prague Supervisor: RNDr. Aleš Raidl, Ph.D. Supervisor's e-mail address: ales.raidl@mff.cuni.cz Consultant: doc. RNDr. Jaroslava Kalvová, CSc. Regional climate models are currently the most important tools regularly used for downscaling outputs of global climate models. This analysis compares control and future runs of the global climate models HadCM3, ECHAM5/OPYC3 and ARPÉGE/OPA and the regional climate models RCAO, RCA3, HIRHAM4, HIRHAM5 and ALADIN- CLIMATE/CZ with observed data and CRU data for the Czech Republic. In the period 1961-1990, the global climate models underestimated the air temperature in comparison with corresponding virtual time series representing real data; mean annual courses and variance of the temperature, on the other hand, were simulated satisfactorily. The results of the regional climate models showed overestimation of the model temperature in winter season, while in other seasons the model temperatures corresponded better with real values and the results of simulation were generally more accurate in comparison with global climate models. Concerning...
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Switching off of Electrical Tools by Voice
Rozsypálek, Lukáš ; Šebesta, Vladimír (referee) ; Sigmund, Milan (advisor)
In theoretical part Master’s thesis deals with processing acoustic signal before speech recognition. There are described methods of automatic speech recognition and capture attributes. Those methods are short-term energy of signal, short-term autocorrelation analysis, linear predictive analysis etc. In practical part has been created software, which has to switch off of electrical tool, if the keyword “zastav” has been spoken. In the second part of this thesis software has been optimized for work in real conditions (noise generated by electrical tools).
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