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Kompostování jako způsob zpracování potravinových odpadů
Tóthová, Katarína
This master thesis focuses on waste and waste management, with an emphasis on biodegradable waste, specifically food waste. The thesis discusses the legislative regulations in the Czech Republic and the European Union. Among other things, composting is considered as a possible solution to the waste generated. The practical part of the thesis evaluates the final product of composters to which additives have been added to reduce odour. The additives were added to the waste collection bins. The added additives include citric acid, tea tree oil and lime. In addition, compost without additives was also evaluated as a control sample. The composting lasted for 12 weeks. The pH and electrical conductivity were evaluated throughout the composting process and then the final product, i.e. the mature compost, was evaluated using phytotoxicity tests. The results showed that although the compost met the required pH and electrical conductivity values, it was found to be highly toxic. Even at a compost concentration of 10%, inhibition of plant root growth was shown, making the compost inapplicable to soil. Furthermore, even compost without additives was found to be toxic, with the cause of toxicity apparently being the waste used and not the additives. In view of these results, further investigation of additives is still needed. This thesis contributes to a better understanding of composting as a way of treating food waste and shows the importance of systematic monitoring of the quality of the final product.
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Numerické metody zpracování obrazu
Tóthová, Katarína ; Hnětynková, Iveta (advisor) ; Zítko, Jan (referee)
The aim of this thesis is to provide a concise overview of the numerical techniques in digital image processing, specifically to discuss the construction, properties and methods of solving of the image deblurring problems modelled by a linear system Ax = b. Often, these problems fall within a group of the ill-posed problems with severely ill-conditioned matrix A and hence require special numerical treatment. We provide a brief overview of selected regularization methods that can be used in this situation, including direct (TSVD, Tikhonov regularization) and iterative ones (CGLS, LSQR), together with the pertinent parameter-choice methods - L-curve, GCV and the discrepancy principle. The theoretical discussion is supplemented by the numerical experiments with real-life image data.
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