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The Use of Statistical Methods for Data Processing
Čupr, Jiří ; Klučková, Martina (referee) ; Novotná, Veronika (advisor)
This master's thesis is focused on problem of orders of ingredients in McDonald's. It's an analysis of usage changes depending on outside temperature. Thesis includes theoretical background for correct analysis of the problem and possibilities to figuring it out. There is also an algorithmus for more efficient solution of problem with needs or excess of ingredients. There is also a program written in VBA language, that makes more simple usage of this algorithm on restaurants.
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Assessment of the Economic Situation of the Parent Company Using Statistical Methods
Zborovská, Marie ; Maňáková, Marie (referee) ; Doubravský, Karel (advisor)
The master‘s thesis examines the issue of the interconnection of market potential with financial indicators and other variables. Data from the financial statements of ABC, s. r. o. operating on the Slovak IT market are used. The dependence of market potential and other market variables was evaluated using statistical methods. Subsequently, the analysis of selected financial indicators of the company ABC, s. r. o. is statistically evaluated and the dependence with market potential is verified. Thanks to the results, the company's proposals are determined, taking into account the current situation in the world.
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Advanced analysis of spontaneous spoken dialogues
Musil, David ; Burget, Radim (referee) ; Atassi, Hicham (advisor)
First part of this thesis contains information about call centers. This chapter focuses at their origin and history and basic division of software call centers use. Second chapter contains ways of processing speech and methods for call quality evaluation. Next chapter provides a description of basic dialogue features such as reaction, hesitation and interruption. Following chapters contain desing and description of graphic environment designed in Matlab programming language for previously mentioned basic dialogue features from data provided by thesis supervisor and their use for conversation analysis. Second part of thesis describes the process of creation a call assessment. It includes gathering necessary data for this part of thesis, their subsequent modification, usage and discussion of results and foundings.
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Permanent Magnet Synchronous Machine Sensorless Control Algorithms
Veselý, Libor ; Prokop, Roman (referee) ; Melichar,, Jiří (referee) ; Václavek, Pavel (advisor)
Algorithms of sensorless control of surface permanent magnet synchronous motors are discussed in the dissertation thesis. A method for position and speed estimation in high-speed region based on model reference adaptive system is described. Furthermore, classical approach using Kalman filtering was verified. Kalman filter expected the rotor speed to be constant as a modification of model using variable speed approach. These algorithms are not able to work at low speed region, thus a new method was proposed. This method is designed on extended Kalman filtering and uses the model which describes the stator inductance changes in - coordinates. At motor start, knowledge of initial rotor setup is required. The algorithm for initial rotor angle using high frequencies injected into the motor was proposed.
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Biometric fingerprint identification
Dašek, Filip ; Vítek, Martin (referee) ; Smital, Lukáš (advisor)
In biometrics we use distinctive physical features for identification and verification of identity. The most famous technique is identification by fingerprints. This technique use unique structure created by papillary lines for unambiguous identification. Thesis contains methods which were created throughout the years for analysis and adjustments of fingerprint. The algorithm is based on compairng two pairs of minitua and calculating transform matrix for correct alignment
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Clustering of ECG cycles
Němečková, Karolína ; Kozumplík, Jiří (referee) ; Ronzhina, Marina (advisor)
This bachelor thesis deals with application of cluster analysis to different ECG records in order to identify particular cardiac pathologies. The work is mainly focused on the detection of premature atrial and premature ventricular beats. Presented approach is based on the signal correlation and further beat type identification and beats clustering via specific ECG features. By evaluation the method on test data, we obtained TPR 73.40 %, FPR 91.00 %, PPV 29.00 %, ACC 90.00 %, F1 41.40 % for PAC detection and TPR 76.50 %, FPR 94.20 %, PPV 45.90 %, ACC 93.10 %, F1 57.40 % for PVC detection. Pure F1 and PPV is due to high number of false positive detections mainly in noisy ECG or ECG with manifested atrial fibrillation.
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Data acquisition and processing in LabVIEW
Kroliczek, Filip ; Havránek, Zdeněk (referee) ; Šedivá, Soňa (advisor)
The thesis deals with data collecting and treating issues utilizing the help of the LabVIEW software. An overview is presented on the first pages. Following chapters are dedicated to theoretical analysis of convolution, correlation, fast Fourier transformation and harmonic distortion of signal. Theoretical analysis of the function with of signal treatment precedes an introduction to LabVIEW – a programme for measurement and treatment of signal. The subsequent chapter describes a LabVIEW created measuring function, program settings and description of a chosen part of the programme. The end comprises the evaluation of the elaborated conclusions by means of the measuring card.
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Correlation of standard mechanical test results and small punch test results
Holzer, Jakub ; Němec, Karel (referee) ; Válka, Libor (advisor)
The Bachelor’s thesis is aimed to sum up relations of mechanical properties of metallic materials obtained by standard mechanical tests with material properties obtained by small punch test. Methods and procedures used to evaluate material properties are evaluated and influence of external circumstances is analysed. Most important difficulties, that limit correlation of standard mechanical tests results and small punch test results, are also stated. Thesis contains an experimental validation of few selected correlation formulas.
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Mathematical Analysis of Captured Network Traffic
Soós, Tibor ; Koutný, Martin (referee) ; Hošek, Jiří (advisor)
This thesis is considering with network traffic analysis and prediction of real networks default services. The first part of this paper is containing the theoretical explanation of the mathematical model’s needs. These models are mainly used as a part of simulation algorithms which are describing the processes of network traffic simulations. The second part is describing the process how to apply the models to mathematically analyze the captured traffic. The capture is including all kind of packet types which can appear on the real network. At the last part of the thesis is described the detailed design of the prediction algorithm’s which are developed in programing language of Matlab® Mathworks®.
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Clustering of ECG cycles
Ředina, Richard ; Smíšek, Radovan (referee) ; Ronzhina, Marina (advisor)
The bachelor thesis explores the aplication of cluster analysis on diferent ECGs in order to create a reliable algorithm for detecting different QRS complexes. Algorithm comprises filtration, R-wave positions adjustment, model cycle creation and comparasion based on mean square error and correlation. Both, correlation and mean square error, become data for k-means clustering. The number of clusters is derived from silhouette values for diferent numbers of clusters.
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