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Simulation of the human vocal fold vibrations – sensitivity to the material parameters
Vampola, T. ; Horáček, Jaromír ; Klepáček, I.
A 3D finite element (FE) fully parametric model of the human larynx was developed and used for numerical simulation of vocal folds vibrations excited by a prescribed intraglottal aerodynamic pressure. The complex model consists of the arytenoid, thyroid and cricoid cartilages. The vocal fold tissue is modelled as a three layered orthotropic material and the FE contact elements are used for modelling the vocal folds collisions. The principal and shear stresses on the surface the vocal fold tissue are computed in time domain.
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Transformation of a Processor Description in CodAL to SystemC Structures
Ondruš, Tomáš ; Hynek, Jiří (referee) ; Přikryl, Zdeněk (advisor)
The goal of this thesis is to create a generator of simulators and hardware representation of application specific processors in a SystemC language. An aim of the first part is to create a wrapper layer compatible with SystemC TLM 2.0 that wraps an existing simulator to avail modeling of transaction oriented systems. The second part is a generator of a hardware representation for the processor that is suitable not only for logical synthesis, but also for the simulation on a cycle accurate level. A final result is a state of the art solution comparable to existing generators.
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Accelerated Neural Networks on GPU
Tomko, Martin ; Zachariášová, Marcela (referee) ; Krčma, Martin (advisor)
This thesis deals with the implementation of an application for artificial neural networks simulation and acceleration using a graphics processing unit. The computation and training of feedforward neural networks using the Backpropagation algorithm are the main focus of this thesis, but the application also supports other network types, and it makes it possible to extend the application with different training algorithms. Next, the application allows us to create neural networks with structural anomalies, and thus, to test the neural network's fault tolerance. The application is implemented in the C++ language, using OpenCL to manage GPU computation. The Backpropagation acceleration results were compared with the free open source library FANN.
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Acquisition, Modeling and Signal Processing in Ultrasound Perfusion Imaging
Mézl, Martin ; Kozubek, Michal (referee) ; Flusser,, Jan (referee) ; Jiřík, Radovan (advisor)
This work deals with possibilities of ultrasound perfusion analysis for the absolute quantification of perfusion parameters. In the theoretical part of this work are discussed possibilities of using of the ultrasound contrast agents and approaches for the perfusion analysis. New methods for the perfusion analysis are suggested and tested in the practical part of this work. The methods are based on convolutional model in which the concentration of the contrast agent is modeled as aconvolution of the arterial input function and the tissue residual function. The feasibility of these methods for the absolute quantification of perfusion parameters is shown on data from phantom studies, simulations and also preclinical and clinical studies. The software for the whole process of the perfusion analysis was developed for using in hospitals.
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New Approaches in Airborne Thermal Image Processing for Landscape Assessment
Pivovarník, Marek ; Pokorný,, Jan (referee) ; Štarha, Pavel (referee) ; Zemek, František (advisor)
Letecká termální hyperspektrální data přinášejí řadu informací o teplotě a emisivitě zemského povrchu. Při odhadování těchto parametrů z dálkového snímání tepelného záření je třeba řešit nedourčený systém rovnic. Bylo navrhnuto několik přístupů jak tento problém vyřešit, přičemž nejrozšířenější je algoritmus označovaný jako Temperature and Emissivity Separation (TES). Tato práce má dva hlavní cíle: 1) zlepšení algoritmu TES a 2) jeho implementaci do procesingového řetězce pro zpracování obrazových dat získaných senzorem TASI. Zlepšení algoritmu TES je možné dosáhnout nahrazením používaného modulu normalizování emisivity (tzv. Normalized Emissivity Module) částí, která je založena na vyhlazení spektrálních charakteristik nasnímané radiance. Nový modul je pak označen jako Optimized Smoothing for Temperature Emissivity Separation (OSTES). Algoritmus OSTES je připojen k procesingovému řetězci pro zpracování obrazových dat ze senzoru TASI. Testování na simulovaných datech ukázalo, že použití algoritmu OSTES vede k přesnějším odhadům teploty a emisivity. OSTES byl dále testován na datech získaných ze senzorů ASTER a TASI. V těchto případech však není možné pozorovat výrazné zlepšení z důvodu nedokonalých atmosférických korekcí. Nicméně hodnoty emisivity získané algoritmem OSTES vykazují více homogenní vlastnosti než hodnoty ze standardního produktu senzoru ASTER.
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International Standards and Electronic Health Record Development
Hanzlíček, Petr
In the paper we discuss the development of electronic health record based on three-layer architecture using universal structure of collectable data, equipped by supporting systems for data verification and medical guidelines connection. Data items and their correlations are defined by knowledge base, represented by graph structure, allowing the user to modify the set of collected data without having to change the database structure. Development is based on existing international standards.
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Identification of parameters of mechanical systems with dissipation layer
Pešek, Luděk
The contribution deals with identification of parameters of non-linear reological couplings, which are used for numerical modelling of a dissipation layer. The layer is considered as elastomeric. The methodology for this identification is herein presented and tested on the study case of circular ring on visco-elastic layer cushioning. As a non-linear contribution to the elastic force of this coupling the cubic function was used.
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