This document describes the three methods for the detection and classification of paralinguistic expressions such as laughing and crying from usual speech by analysis of the audio signal. The database of records was originally designed for this purpose. When analyzing everyday dialogs, music might be included, so the database was extended by four new classes as speech, music, singing with music and usual speech with background music. Feature extraction, feature reduction and classification are common steps in recognizing for all three methods. Difference of the methods is given by classification process in detail. One classification of all six classes at once is proposed in the first method called straight approach. In the second method called decision tree oriented approach we are using five intuitive sub classifiers in the tree structure and the final method uses for classification emotion coupling approach. The best features were reduced by feature evaluation using F-ratio and GMM classifiers were used for the each classification part.

The master´s thesis is focussed on principles and characteristics of Powerline Communications (PLC), practical usage possibilities and advantages and disadvantage of it. There are described mudulations and a channel encoding which are in PLC used. The main part of the thesis deals with a design of a channel as transfer function through the use of two methods, an echo model and the ABCD matrix. After finishing of the design of transfer function the model of communication was created in the Matlab-Simulink program. There were used the narrowband modulations in the model and analyzed the bit error rate of the tranfer data. In the end all results were treated graphically and evaluated.

The thesis first provides a brief introduction to wind energy and bring in the current status of this rapidly growing industry. Further, the distribution of wind turbines, their specific and general description of the construction is described. Emphasis is placed on wind turbine control system. The first goal was to build a simulation model of wind power plant in the MATLAB / Simulink usable for subsequent overall design of control system of wind power plant. Furthermore, the analysis of the control of individual components of power station in the light of the possibility of optimizing the operation and in particular the optimization of efficiency of plant, i.e. maximization of the reached performance is performed. In the last part of this thesis structure and parameters of individual control system of plant is designed and the results are discussed.

This master thesis is focused on the synchronous generator mathematical model analysis. Based on the analysis are compiled mathematical models of main generator and exciter cooperating in brushless synchronous generator excitation system. Mathematical models of both machines are based on system of differential equations and their validity is verified in Matlab-Simulink. The master thesis is devided into three main parts. First part is focused on the derivation of differential equations to describe the behavior of electrical quantities of machines. In the second part are compiled and simulated mathematical models of both synchronous machines in Matlab-Simulink. The correctness of models are verified by approximate analytical calculations of selected steady and dynamic states. The last part is focused on design and simulation of concept for main generator rapid field winding deexcitation in brushless synchronous genereator excitation system.

Táto diplomová práca sa zaoberá vytvorením dynamického modelu mobilného pracovného stroja. Ciežom práce je vytvorenie blokového modelu pohonu štvorkolesového mobilného pracovného stroja. Model hydrostatického prevodu bol dodaný firmou Sauer-Danfoss. Model mobilného pracovného stroja bol vytvorený v programe MATLAB-Simulink. Dalšou časťou práce je výber typu riadenia hydrostatického prevodu a návrh riadiaceho algoritmu hydrostatického prevodu. Výstupom práce je blokový matematicko-fyzikálny model pohonu štvorkolesového mobilného pracovného stroja spolu s riadiacim algoritmom hydrostatického prevodu v prostredí MATLAB-Simulink.

This thesis is focused on the design of vector control of interior permanent magnet synchronous motors. The first part of this work deals with vector control transformations and mathematical modelling of synchronous motors. Furthermore, algorithms of sensorless control are discussed, especially HF injection sensorless methods. One of these methods was used for torque and speed control. Problem of phase delay caused by filters and it’s compensation is also discused. One of the HF injection sensorless method was implemented on both motors. The results of simulations in MATLAB/Simulink and tests of real motors on dSpace are included.

Improving the climate system of cars is important since it is the largest auxiliary load in a standard vehicle with an increase of fuel consumption by up to 20%. In Electric Vehicles (EV) the range of the car is more limited than in a fossil fueled car; furthermore there is a limited waste heat available from the EV, approximately 2-3kW at 40oC for heating and defogging in winter. The goals of this report have been part of an existing European project (ICE) where the climate system of an electric minibus is being investigated. The specific objectives of this project were to develop a radiation model and integrate it in the existing thermal model of the cabin, validating the new model with existing experimental data, including the thermal model in the overall model of the complete vehicle and to use the existing AC-model to optimize the control with the aim of decreasing the energy consumption maintaining thermal comfort inside the cabin. The radiation model uses total radiation on a horizontal surface in order to calculate the radiation hitting the different parts of the car body and windows, finally the total radiative power entering the minibus is calculated. After including these calculations into the thermal model it could be seen that the results from the model in terms of cabin temperatures fit the experimental values surprisingly well. The control of the AC-system was optimized for a hot and sunny summer day in Italy which resulted in the AC-system working very hard following that the best control strategy was to reduce only the speed of the compressor in order to save energy. Calculations show that in the Normal European Driving Cycle (NEDC) the potential energy savings of following this control strategy can result in an energy saving of the AC-system by up to 27% compared to an unregulated case, with a maintained thermal comfort resulting in 4,2% increase in autonomy.

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La complexité croissante des applications embarquées dans les voitures modernes augmente le besoin de puissance de calcul. Pour répondre à ce besoin, le standard automobile AUTOSAR introduit l'utilisation de plates-formes multi-cœurs. Cependant, l'utilisation du multi-cœurs pour des applications temps-réel critique automobile soulève plusieurs problématiques. Notamment, il faut respecter la spécification fonctionnelle et garantir de manière déterministe les échanges de données entre cœurs. Dans cette thèse, nous considérons des systèmes multi-périodiques spécifiés et validés fonctionnellement avec des modèles Matlab/Simulink. Ainsi, nous avons développé un framework pour déployer des applications Matlab/Simulink sur AUTOSAR multi-cœurs afin de garantir le déterminisme fonctionnel et temporel tout en exploitant au mieux le parallélisme. Notre contribution a porté sur trois axes. Premièrement nous avons identifié les mécanismes d'échanges de données imposés dans le modèle fonctionnel Matlab/Simulink. Nous avons montré que ces mécanismes pouvaient s'exprimer en utilisant le formalisme des Synchronous Dataflow Graph (SDFG). Ce modèle est un excellent outil d'analyse pour exploiter le parallélisme car il est très populaire dans la littérature et largement étudié pour le déploiement d'applications flow de données sur plateforme multi/many-cœurs. Par la suite, nous avons développé des méthodes pour réaliser le flux de données exprimés par le SDFG dans un ordonnancement temps-réel préemptif. Ces méthodes utilisent des résultats théoriques sur les SDFGs pour garantir les contraintes de précédence de manière déterministe sans utiliser des mécanismes de synchronisation bloquants. De cette sorte, nous garantissons à la fois le déterminisme fonctionnel et temporel des applications. Finalement, nous caractérisons l'impact des contraintes de flux de données sur l'ordonnancement des tâches. Nous proposons une technique de partitionnement qui minimise cet impact. Nous montrons alors que cette technique favorise la construction d'un partitionnement et d'un ordonnancement lorsqu'elle est utilisée pour initialiser des algorithmes de recherche et d'optimisation heuristiques. / The increasing complexity of embedded applications in modern cars has increased the need of computing power. To meet this need, the European automotive standard AUTOSAR has introduced the use of \multicore platforms. However, \multicore platform for critical automotive applications raises several issues. In particular, it is necessary to respect the functional specification and to guarantee deterministically the data exchanges between cores. In this thesis, we consider multi-periodic systems specified and validated with \mat. So, we developed a framework to deploy \mat applications on AUTOSAR \multicore. This framework guarantees the functional and temporal determinism and exploits the parallelism. Our contribution is threefold. First, we identify the communication mechanisms in \mat. Then, we prove that the dataflow in a multi-periodic \mat system is modeled by a SDFG. The SDFG formalism is an excellent analysis tool to exploit the parallelism. In fact, it is very popular in the literature and it is widely studied for the deployment of dataflow applications on multi/many-core. Then, we develop methods to realize the dataflow expressed by the SDFG in a preemptive \rt scheduling. These methods use theoretical results on SDFGs to guarantee deterministic precedence constraints without using blocking synchronization mechanisms. As such, both the functional and temporal determinism are guaranteed. Finally, we characterize the impact of dataflow requirements on tasks. We propose a partitioning technique that minimizes this impact. We show that this technique promotes the construction of a partitioning and a feasible scheduling when it is used to initiate multi-objective research and optimization algorithms. %As such, we reduce the number of design iterations and shorten the design time.

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