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Postprocessing of GPS Logs
Jaška, Roman ; Pavelková, Alena (referee) ; Polok, Lukáš (advisor)
This thesis aims to analyse common errors in recorded GPS activities, identify algorithms suitable for correction of these problems and design and subsequently implement an Android application. The first chapter contains an introduction to the problem, demonstration of a few affected examples and explains the motivation behind the choice of this subject for my thesis. Second chapter decomposes the established problem. I specifically elaborate on the source of the errors, the format of input data, existing solutions, mathematical methods suitable for this problem, available APIs and reasons behind the selection of the final platform. Chapter number three describes the actual solution of the problem employed in the final application. The requirements for the final application are laid out as well as the specific details of the functionality, such as the usage of Kalman filter, individual APIs, libraries as well as the design of the user interface. The penultimate chapter reveals selected parts of the implementation, such as the Kalman filtering itself or the problem of manual track correction. This chapter also contains description of design changes executed during the implementation. The final chapter reviews the achieved results of Kalman filtering and snapping of points to roads using Google Maps Roads API. Ultimately, I elaborate on possibilities of continued development of the application.
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The Impact of Uncertainty of Project Models on Investment Decision Making
Pískatá, Petra ; Heralová,, Renáta Schneiderová - (referee) ; Pavelková,, Martina (referee) ; Hromádka, Vít (referee) ; Heralová,, Renáta Schneiderová (referee) ; Korytárová, Jana (advisor)
This doctoral thesis widely analyses the process of investment decision-making. In its individual parts, it researches models used for planning, analysing and evaluation of investments projects, but also models used for final decision about realization of the investment. Investing activity is present in world economic cycle in all it’s phases. Capital sources used for financing if the investment projects are scarce and must be handled with care. For this reason, there are many supportive methodologies and models employed in managing of the investments as well as instruments developed to miti-gate the potential project risks. However, even utilization of these instruments and models can’t guarantee the expected results. There are uncertainties, errors and in-accuracies in the process that can thwart investment decisions. The aim of the thesis is to analyse the investment decision-making process (from the initial idea to the realization of the investment project) and to identify the main un-certainties – factors influencing the success / error rate of models for investment project planning as well as the decision on their realization. The main outcome of the thesis is an overview of these factors and recommenda-tions on how to work with these factors and make the process as effective as possi-ble. Another output is an analysis and recommendations for the use of financing sources and mix of the instruments that should be used to mitigate the potential impact of risks that are connected to all investment projects.
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The Impact of Uncertainty of Project Models on Investment Decision Making
Pískatá, Petra ; Heralová,, Renáta Schneiderová - (referee) ; Pavelková,, Martina (referee) ; Hromádka, Vít (referee) ; Heralová,, Renáta Schneiderová (referee) ; Korytárová, Jana (advisor)
This doctoral thesis widely analyses the process of investment decision-making. In its individual parts, it researches models used for planning, analysing and evaluation of investments projects, but also models used for final decision about realization of the investment. Investing activity is present in world economic cycle in all it’s phases. Capital sources used for financing if the investment projects are scarce and must be handled with care. For this reason, there are many supportive methodologies and models employed in managing of the investments as well as instruments developed to miti-gate the potential project risks. However, even utilization of these instruments and models can’t guarantee the expected results. There are uncertainties, errors and in-accuracies in the process that can thwart investment decisions. The aim of the thesis is to analyse the investment decision-making process (from the initial idea to the realization of the investment project) and to identify the main un-certainties – factors influencing the success / error rate of models for investment project planning as well as the decision on their realization. The main outcome of the thesis is an overview of these factors and recommenda-tions on how to work with these factors and make the process as effective as possi-ble. Another output is an analysis and recommendations for the use of financing sources and mix of the instruments that should be used to mitigate the potential impact of risks that are connected to all investment projects.
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Postprocessing of GPS Logs
Jaška, Roman ; Pavelková, Alena (referee) ; Polok, Lukáš (advisor)
This thesis aims to analyse common errors in recorded GPS activities, identify algorithms suitable for correction of these problems and design and subsequently implement an Android application. The first chapter contains an introduction to the problem, demonstration of a few affected examples and explains the motivation behind the choice of this subject for my thesis. Second chapter decomposes the established problem. I specifically elaborate on the source of the errors, the format of input data, existing solutions, mathematical methods suitable for this problem, available APIs and reasons behind the selection of the final platform. Chapter number three describes the actual solution of the problem employed in the final application. The requirements for the final application are laid out as well as the specific details of the functionality, such as the usage of Kalman filter, individual APIs, libraries as well as the design of the user interface. The penultimate chapter reveals selected parts of the implementation, such as the Kalman filtering itself or the problem of manual track correction. This chapter also contains description of design changes executed during the implementation. The final chapter reviews the achieved results of Kalman filtering and snapping of points to roads using Google Maps Roads API. Ultimately, I elaborate on possibilities of continued development of the application.
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Modifikace divergenčních kriterií ve spojitých rodinách
Vajda, Igor
The paper extends the applicability of the minimum divergence criterion to the parameter estimation in continuous statistical models. Four criteria are motivated, all of them leading to different Fisher consistent estimators: Superdivergence, Subdivergence, Disturbed power divergence, Disturbed Rényi divergence.
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