|
| |
|
|
Multifunctional building
Králík, Martin ; Spáčilová, Jitka (referee) ; Spáčil, Miroslav (advisor)
The subject of the diploma thesis is the elaboration of project documentation for the construction of a multifunctional house. The building is located on a building plot of parcel number 2176/15 in the cadastral area of Stará Boleslav. It is located in the northeastern part of the cadastral area. The terrain of the building plot is flat and currently the plot is covered with grass. It is a built-up area in which the development of apartment buildings predominates. The designed multifunctional house is spread over four floors. On the first floor there are three surgeries with a preparation room, facilities for staff and clients and communication areas of the building. The first floor is designed as barrier-free. There are six apartments on the second and third floors. On the fourth floor are designed two apartments and a walking terrace. The underground part consists of technical facilities, storage space and 13 parking spaces.
|
|
|
Utilization of Multiple Level Association Rules in an e-Shop
Králík, Michael ; Šebek, Michal (referee) ; Bartík, Vladimír (advisor)
This thesis deals with design and implementation of a complete information system for the needs of electronic shop, where multiple level association rules will be used for data mining. The information system will include warehouse management, automated order processing, payment management, tax records and display various statistics. Technologies such as HTML, Latte, CSS, JavaScript, Nette Framework, PHP and MySQL were used to implement this system.
|
|
| |
|
|
Advanced methods for sleep quality assessment
Doležalová, Anna ; Králík, Martin (referee) ; Ronzhina, Marina (advisor)
This diploma thesis is focused on advanced sleep assessment using deep learning. Metrics for sleep assessment and their use are described here. There are hearth rate and accelerometer data from Apple Watch used for classification. The basis for the classification was a model composed of 1D convolution networks in combination with recurrent neural network. LSTM and GRU were used as recurrent networks. Models were taught to classify into two, three and five phases. At last the resulting methods are compared.
|
|
|
Sleep apnea detection from ECG records
Trnková, Simona ; Smital, Lukáš (referee) ; Králík, Martin (advisor)
The aim of this work is to propose an algorithm for the detection of sleep apnea from the respiratory signal that was extracted from the ECG signal. The work includes the theory of sleep medicine, methods for extracting the respiratory curve from the ECG signal and methods for detecting apnoeic sections. In the practical part, the algorithm for estimating the breathing curve and models classifying apnoeic sections are described and evaluated.
|
|
|
Stresss and fatique detection in complex driver's data
Šimoňáková, Sabína ; Králík, Martin (referee) ; Mézl, Martin (advisor)
Main aim of our thesis is fatigue and stress detection from biological signals of a driver. Introduction contains information on published methods of detection and thoroughly informs readers about theoretical background necessary for our thesis. In the practical application we have firstly worked with a database of measured rides and subsequently chose their most relevant sections. Extraction and selection of features followed afterward. Five different classification models for tiredness and stress detection were used in the thesis and prediction was based on actual data. Lastly, the final section compares the best model of our thesis with the already published results.
|
|
| |
|
|
Analysis of accelerometric signals during gait cycle
Nemčeková, Petra ; Sekora, Jiří (referee) ; Králík, Martin (advisor)
Kinematic analysis of gait is one of the most important examination of lower limbs. One of the possibilities of this analysis is measuring by accelerometer. This thesis is focusing on construction of a functional device, which measures an angle of ankle, hip and knee joint during gait and developing application, which enables measurement and displays measured data. Results from device were compared with kinematic norm used in ortopedy.
|
|
|
Sleep stage classification
Lacinová, Michaela ; Smital, Lukáš (referee) ; Králík, Martin (advisor)
This bachelor thesis deals with analysis of polysomnography and its methods of measurement in electroencephalography, electromyography and electrooculography in the first part. It comprises an analysis of sleep stages recommended by the AASM. Polysomnographic data are further analysed in the domains of time and frequency, which are evaluated separately. In the second part the data are classified into particular classes using methods of decision trees and k-nearest neighbours in the MATLAB programming environment. These data are evaluated and compared with available literature.
|
guest ::
RSS feed.