National Repository of Grey Literature 15 records found  1 - 10next  jump to record: Search took 0.01 seconds. 
Spline interpolation in CNC milling
Soukupová, Veronika ; Píška, Miroslav (referee) ; Ohnišťová, Petra (advisor)
Tato práce se zaměřuje na využití různých typů splinové interpolace pro obrábění na číslicově řízených strojích. Cílem této práce je teoreticky popsat využití splinových interpolací při CNC frézování a následně stanovit a zhodnotit limity využití různých typů splinových interpolací na základně daného objemu vstupních dat. Součástí práce je vytvoření programu pro generaci různého počtu uzlových bodů na analyticky známé křivce. Následuje vložení uzlových bodů do vytvořeného CNC programu pětiosého obráběcího centra a poté jeho verifikace. Pro stejné uzlové body jsou aplikovány různé druhy interpolace pro následné porovnání metod a stanovení minimálního počtu bodů na délku křivky pro dosažené vyhovující přesnosti při použití dané interpolační metody.
Sinumerik Operate tools for programming of CNC machines
Krejčík, Jan ; Sliwková, Petra (referee) ; Polzer, Aleš (advisor)
The diploma thesis is focused on possibilities of spline approximation and interpolation of CAD imported by CAD Reader to control system. First chapter describes mathematical meaning of curves, the second chapter shows possibilities of approximation and interpolation in control system Sinumerik 840D and the third chapter applies these possibilities on practical example.
Geometrical Image Transforms
Havelka, Jan ; Švub, Miroslav (referee) ; Španěl, Michal (advisor)
This bachelor's thesis is about introducing to basics of image processing, mostly with linear image transformations and interpolation. For the purpose of the closer understanding is properly to implement some basic geometrical image transformations and some different interpolation methods.
Curves in Computer Graphics
Míchal, Luboš ; Zuzaňák, Jiří (referee) ; Venera, Jiří (advisor)
This work deal with proposal and implementation demonstrational application, that will be instrumental towards demonstration curves used in computer graphic. Application is created in language C++ in environment Visual Studio 2005. By the help of those application can be individual steps of calculation watch and set control point. After it is possible watch differences among single used algorithms. Aim work is put near individual curves potential interested person about this theme.
Using Spectral Analysis for 3D Triangles Polygonal Mesh Conversion on 3D Spline Surfaces
Šenk, Miroslav ; Španěl, Michal (referee) ; Kršek, Přemysl (advisor)
In this work we deal with conversion of 3D triagonal polygonal meshes to the 3D spline patches using spectral analysis. The converted mesh is divided into quadrilaterals using eigenvectors of Laplacian operator. These quadrilaterals will be converted into spline patches. We will present some interesting results of this method. The assets and imperfections of this method will be briefly discussed.
Estimation of Algorithm Execution Time Using Machine Learning
Buchta, Martin ; Chlebík, Jakub (referee) ; Jaroš, Jiří (advisor)
This work aims to predict the execution time of k-Wave ultrasound simulations on supercomputers based on a given domain size. The program uses MPI and can be run on multiple nodes. Prediction models were developed using symbolic regression and neural networks, both of which trained on captured data and compared against each other. The results demonstrate that the models outperform existing solutions. Specifically, the symbolic regression model achieved an average error of 5.64% for suitable tasks, while the neural network model achieved an average error of 8.25% on unseen domain sizes and across all tasks, including those not optimized for k-Wave simulations. This work contributes a new, more accurate model for predicting execution time, and compares the effectiveness of neural networks and symbolic regression for this specific type of regression problem. Overall, these findings suggest that new models will have important practical applications in the field of k-Wave ultrasound simulations.
Zobecněné lineární a aditivní modely v pojišťovnictví
Rusnák, Peter ; Branda, Martin (advisor) ; Pešta, Michal (referee)
In this thesis we describe the theory of generalized linear models and demon- strate its applications in non-life insurance. We also introduce some methods com- monly used to estimation of regression parameters and hypothesis testing . Further- more, we discuss possible extensions of GLM by introducing tools for reparametriza- tion of predictors which leads to new classes of models, concretely to segmented generalized linear models and generalized additive models. Consequently, we derive models appropriate for actuarial praxis using the real insurance data. In practical part of this thesis we illustrate the use of appropriate software for calculating the parameters of GAM and find way how to use open source statistical program .
Sinumerik Operate tools for programming of CNC machines
Krejčík, Jan ; Sliwková, Petra (referee) ; Polzer, Aleš (advisor)
The diploma thesis is focused on possibilities of spline approximation and interpolation of CAD imported by CAD Reader to control system. First chapter describes mathematical meaning of curves, the second chapter shows possibilities of approximation and interpolation in control system Sinumerik 840D and the third chapter applies these possibilities on practical example.
Using Spectral Analysis for 3D Triangles Polygonal Mesh Conversion on 3D Spline Surfaces
Šenk, Miroslav ; Španěl, Michal (referee) ; Kršek, Přemysl (advisor)
In this work we deal with conversion of 3D triagonal polygonal meshes to the 3D spline patches using spectral analysis. The converted mesh is divided into quadrilaterals using eigenvectors of Laplacian operator. These quadrilaterals will be converted into spline patches. We will present some interesting results of this method. The assets and imperfections of this method will be briefly discussed.
Yield Curves
Korbel, Michal ; Hurt, Jan (advisor) ; Hlávka, Zdeněk (referee)
The master thesis is looking into the estimation of yield curve using two ap- proaches. The first one is searching for parametric model which is able to describe the behavior of yield curve well and estimate its parameters. The parametric mo- dels used in the thesis are derived from the class of models introduced by Nelson and Siegel. The second approach is nonparametric estimation of yield curves using spline smoothing and kernel smoothing. All used methods are then compared on real observed data and their suitability for various tasks and concrete available observations is considered. 1

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