Methods for Classification of WWW Pages

Hlavním cílem této diplomové práce bylo prostudovat podstatné části klasifikačních metod. Práce obsahuje klíčové klasifikační metody, vysvětluje princip získávání znalostí z databází, pojem datový sklad a třídu CSSBox. Speciálně se zaměřuje na implementování hlavní metody k-nejbližších sousedů. První cílem této práce bylo vytvořit trénovací a testovací data popsaná 'n' atributy. Druhým cílem bylo experimentálně určit, jak zvolit správnou hodnotu 'k', tedy počet sousedů.The main goal of this master's thesis was to study the main principles of classification methods. Basic principles of knowledge discovery process, data mining and using an external class CSSBox are described. Special attantion was paid to implementation of a ,,k-nearest neighbors`` classification method. The first objective of this work was to create training and testing data described by 'n' attributes. The second objective was to perform experimental analysis to determine a good value for 'k', the number of neighbors.

Detection of Cortical Oscillations Induced by SCS Using Power Spectral Density

Chronic, intractable pain of lower back and lower extremity might develop as the result of unsuccessful surgery of back. This state called failed-back surgery syndrome (FBSS) cannot be effectively treated by pharmacotherapy. Electric stimulation of the dorsal spinal cord is applied to relieve the pain. According to the medical hypothesis, oscillatory activity, which might be related to the analgesic effects, may occur in the cortex during the stimulation. To confirm the presence of the SCS induced oscillations, a new method of detection was designed for this purpose. The analysis of EEG data was performed using power spectral density, confidence intervals, visualization and group statistic for its verification. Parameters of the method were experimentally optimized to maximize its reliability. During ongoing SCS, statistically significant changes were detected and localized at the stimulation frequency and/or its subharmonic or upper harmonic over central midline electrodes in eight patients

Localization of Cortical Oscillations Induced by SCS Using Coherence

This paper suggests a method based on coherence analysis and scalp mapping of coherence suitable for more accurate localization of cortical oscillations induced by electric stimulation of the dorsal spinal cord (SCS), which were previously detected using spectral analysis. While power spectral density shows the increase of power during SCS only at small number of electrodes, coherence extends this area and sharpens its boundary simultaneously. Parameters of the method were experimentally optimized to maximize its reliability. SCS is applied to suppress chronic, intractable pain by patients, whom pharmacotherapy does not relieve. In our study, the pain developed in lower back and lower extremity as the result of unsuccessful vertebral discotomy, which is called failed-back surgery syndrome (FBSS). Our method replicated the results of previous analysis using PSD and extended them with more accurate localization of the area influenced by SCS

The Gear Tooth Flank Temperature Measurements System

This paper deals with a design of equipmentfor the temperature measurements near the gear toothflank. The paper describes choosing of temperature sensorsand a method of data transport from the rotating shaft. Thecalibration of sensors is described too. Instructions for useare introduced in the text. The equipment for temperaturemeasurements was tested on a little stand which wasspecially designed. The goal of this paper is the design andtesting of equipment for temperature measurements near agear tooth flank

Proposal of 3D Laser Measuring

Import 04/07/2011Tato práce je zaměřena na 3D laserové měření aplikované na železniční kolejové vozidlo ŽKV. Data získané měřením jsou nezbytné pro komparaci s výkresovou dokumentací, resp. pro vyhodnocení odchylek a finální kontrolu statického obrysu polohy skříně a podvozku ŽKV. Hlavní část práce je věnována postupu pro 3D laserové měření. V praxi se přínos této práce projeví především časovou úsporou vlivem navržené metody měření a přesností naměřených hodnot.This work is focused on 3D laser measurement applied to railway rolling vehicle (hereinafter referred as ŽKV). Data obtained by measurements are needed for comparison with the drawing documentation respectively for evaluation of variations and final verification of static outline position of gear box and chassis of ŽKV. The main part of the thesis is devoted to the procedure of 3D laser measurement. In practice, the contribution of this work is particulary shown in time saving due to the proposed methods of measurement and accuracy of measurements.346 - Katedra obrábění a montáževelmi dobř

Recognizing Faces within Image

Základem rozpoznávání lidí ve fotografii je obecně počítačové vidění, které poskytuje metody a algoritmy pro samotnou implementaci. Některé z nich popisuje právě tato práce. Celý proces rozpoznávání lidí je zpracován do tří fází. Těmi jsou detekce, zarovnání detekovaného obličeje a konečně jeho rozpoznání. Ke každé fázi jsou zmíněny algoritmy, které se v dané problematice používají a jenž jsou ze současného pohledu stále vyvíjeny. V implementaci tvoří páteř systému 3 základní algoritmy, mezi které patří AdaBoost pro získání klasifikátoru k detekci, metoda zarovnání obličeje na základě markantních rysů a metoda Eigenfaces k samotnému rozpoznávání. Teoreticky jsou rozebrány mimo výše uvedené i neuronové sítě pro detekci, ASM - Active Shape Models pro zarovnání a AAM - Active Appearance Model pro rozpoznávání. Závěrem nechybí tabulky dat vyhodnocující implementaci.The essence of face recognition within the image is generally computer vision, which provides methods and algorithms for the implementation. Some of them are described just in this work. Whole process is split in to three main phases. These are detection, aligning of detected faces and finally its recognition. Algorithms which are used to applied in given issue and which are still in progress from todays view are mentioned in every phase. Implementation is build up on three main algorithms, AdaBoost to obtain the classifier for detection, method of aligning face by principal features and method of Eigenfaces for recognizing. There are theoretically described except already mentioned algorithms neural networks for detection, ASM - Active Shape Models algorithm for aligning and AAM - Active Appearance Model for recognition. In the end there are tables of data retrieved by implemented system, which evaluated the main implementation.