The thesis is divided into several parts. At first, there are written information from the laws and decrees concerning the lead pipeline, drinking water, observance of lead concentrations in drinking water, etc. Then the water connection, the ownership relations to the connection and the materials used for the water connection are defined. The next chapter deals with lead, lead pipeline, lead in drinking water and the legislative requirements for lead content in drinking water. Other part is about the health risks of lead in drinking water. These theoretical parts follow the practical part, which focuses on drinking water quality testing, which was in contact with the lead pipeline. This section describes drinking water sampling principles for determining the concentration of lead, the locations where the samples were taken, the methods used to determine the concentration, the description, the results and the evaluation of the information. The last chapter shows the methods and materials that remove lead from water.

This thesis focuses on comparing methods of denoising by deep learning and their implementation. In the last few years, it has become clear that it is not necessary to have paired data, as for noisy and clean pictures, to train convolution neural networks but it is sufficient to have only noisy pictures for denoising in particular cases. By using methods described in this thesis it is possible to effectively remove i.e. additive Gaussian noise and what more, it is possible to achieve better results than by using statistic methods, which are being used for denoising these days.

Capacitive deionization technologies have gained significant attention in recent years. The development and availability of a variety of materials have enabled the growth of research on electrosorption, which makes capacitive deionization increasingly attractive. This technology has a wide range of applications, such as softening, desalination and selective removal, each of which has been the focus of the experimental part of this work. The theoretical part is devoted to the issue of functioning of capacitive deionization, electrode material and especially the specific application. Water desalination is a major issue, given the global shortage of drinking water and the possibility of using capacitive deionization as a competitive method to conventional desalination methods. Conversely, softening and selective removal of ions can pose everyday problems both in the treatment of drinking water or pre-treatment of industrial water and in the treatment of wastewater. In this diploma thesis, it was proved that the method of capacitive deionization can be used to solve all the above problems. Although capacitive deionization is not a commercially available technology in the Czech Republic yet, it can be expected to be used more and more in the future.

This master’s thesis deals with the wavelet transform and its use in processing and removing noise from images acquired by nuclear magnetic resonance. It defines fundamental terms for this work as mother wavelet or thresholding. Above all, it describes the principle of wavelet transform, thresholding techniques and criteria for evaluating the effectiveness of filtration. It describes the relation between wavelet transforms and digital filter banks. The experimental section describes the designed filtering method for removing noise from an image captured by the technique of nuclear magnetic resonance. We applied to different kinds of mother wavelets. Evaluation of the effectiveness of filtering was performed using the signal to noise ratio, relative contrast and the steepness of the intensity changes in signal intensity. It also discusses the comparison of properties of the image and selecting the mother wavelets based on image characteristics. Images were compared in terms of a histogram, cumulative histogram, k-space and the difference image.

Transformation methods are used to describe the image based on defined shapes, which are called bases or frames. Thanks to these shapes it is possible to transform the image with the help of calculated transformation coefficients and further work with this image. It is possible to image denoising, reconstruct the image, transform it and do other things. There are several types of methods of the image processing. In this field a significiant development could be seen. This study is focused on analysis of characteristics of individual well known methods of transformation such as Fouriers´s or Wavelet´s. For comparison, there are also new chosen methods of transformation described: Ripplet, Curvelet, Surelet, Tetrolet, Contourlet and Shearlet. Functional toolboxes were used for comparison of individual methods and their characteristics. These functional toolboxes were modified for the possibility of limitation of transformation coefficients for their potential use in subsequent reconstruction.

ANNOTATION Václav Řídký Implementation of modern quality control metods in production of electromotors Diploma thesis, Institute of metrology and quality assurance testing, UT FME, Brno This diploma thesis deals with problems of reducing the complaints quota in production of electromotors to acceptable level. This work includes analysis of faults, presentation of single faults and instituted measures leading to the elimination their inception.

Diploma thesis deals with searching of the most appropriate solution of air mass cooling to clear away contained solvents. The solution is based on real and operated pharmaceutical unit. The cooling system is solved as systém of three tubular heat exchangers. In the first heat exchanger the air mass is cooled down by water, in the second by ice-cold water and brine R32 is used for cooling in the third heat exchanger. Heat exchanger system is solved for cooling the air mass which results in condensation of contained solvent – acetone.

The new approach for motion artifact suppression in optical action potential records is presented in this thesis. Presented approach is based on independent component analysis utilization. Efficiency of proposed approach is evaluated here as well as its comparison with state of the art motion artifact suppression approaches.

This work deals with development of an application for optical music recognition. This application is designed for mobile phones with Android operating system. The work includes a brief introduction to the problem and introduces some existing solutions. There are described methods for image processing and classification, which are used in final application. It also shows the design and implemenation of the final aplication, where used methods for detection and removal of staff lines, detection and processing of musical symbols and their classification are described. The evaluation of the final application and a summary of achieved results are shown in the end of this work.

This diploma thesis is engaged in problems of micropollutants removal by water treatment process. The first part aims to define single micropollutants, possibilities of their removal in laboratory and micropollutants removal on water treatment plant. In the second part, there is data evaluation of water analyses on factual water treatment plant. Also there is description and evaluation of experiment, which aims to pesticide removal from river by using filtration across granulated active carbon.