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Time Series Prediction
Dvořáček, Tomáš ; Rozman, Jaroslav (referee) ; Hříbek, David (advisor)
The aim of this thesis is to design and implement a program that will be able to analyze and predict the future evolution of univariate and multivariate time series from a given input. Statistical approaches and approaches where time series are predicted using neural networks have been used in the solution.
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Interactive Processing of Volumetric Data
Kolomazník, Jan ; Pelikán, Josef (advisor) ; Czanner, Silvester (referee) ; Dokládal, Petr (referee)
Title: Interactive Processing of Volumetric Data Author: Jan Kolomazník Department: Department of Software and Computer Science Education Supervisor: RNDr. Josef Pelikán, Department of Software and Computer Science Education Abstract: Interactive visualization and segmentation of volumetric data are quite lim- ited due to the increased complexity of the task and size of the input data in comparison to two-dimensional processing. A special interactive segmentation workflow is presented, based on minimal graph-cut search. The overall execution time was lowered by implementing all the computational steps on GPU, which required a design of massively parallel algorithms (using thousands of threads). To lower the computational burden even further the graph is constructed over the image subregions com- puted by parallel watershed transformation. As a suitable formalism for a range of massively parallel algorithms was chosen cellular automata. A set of cellular automata extensions was defined, which allows efficient mapping and computation on GPU. Several variants of parallel watershed transformation are then defined in the form of cellular automaton. A novel form of 2D transfer function was presented, to improve direct volume visualization of the input data, suited for discriminating image features by their shape and...
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Computation of rate of return of unit trust
SKŮPA, Martin
Nowadays, plenty of people are in need of computation rate of return of unit trust. This is achievable by elaborating the methodology of computation of the profitability of the unit trust, taking into account the random interest rate. Profitability of different investment strategies is compared. The comparison is accompanied by graphs. There is an explanation why using this method of investment is an excellent way for individuals to get a diversified exposure in the equity market. Subsequently an appropriate portfolio composition and a short introduction to history of common business investment strategies are mentioned. Some analyses of random interest rates done by computer programme Microsoft Excel are also shown. These analyses which use specific functions such as standard deviation, average value, normal distribution and take into consideration volatility and risk lead to the final model for calculating the return on the unit trust.
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Informační analýza dat ze sčítání lidu pomocí statistických modelů
Grim, Jiří ; Hora, J. ; Boček, Pavel ; Somol, Petr ; Pudil, P.
We describe a new method of information oriented data analysis (data mining) based on a quick evaluation of a virtual list of several hundreds of thousands of sub-populations. The sub-populations can be ordered according to different criteria like conditional probability of a value, conditional entropy of a variable or mutual informativity of a pair of variables. In this way we can identify causal relations between values and variables in a qualitatively new way.
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