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Mobile Water Treatment Plants
Trlica, Karel ; Moravec, Prokop (referee) ; Kárník, Jan (advisor)
This bachelor thesis deals with technologies of drinking water treatment. The focus is on comparison between mobile water treatment systems and ground water treatments. The first part of thesis is concerned with technology and construction of container water treatment system, while pointing out the benefits associated with its usage. The next part of thesis deals with ground water treatment system, analyzes its technologies and advantages. The thesis also assesses the performance differences between classic and container water treatment systems, while taking into account usage of mobile water treatment systems for specific conditions. The last part deals with specific water treatment systems, that is the container water treatment system CCW KU-1 and the water treatment system in Valašské Meziříčí. The thesis strives to explain both water treatment systems in detail. Overall evaluation and set of specific differences between the water treatment systems is included in the conclusion of the thesis.
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Image similarity measuring using deep learning
Štarha, Dominik ; Šeda, Pavel (referee) ; Rajnoha, Martin (advisor)
This master´s thesis deals with the reseach of technologies using deep learning method, being able to use when processing image data. Specific focus of the work is to evaluate the suitability and effectiveness of deep learning when comparing two image input data. The first – theoretical – part consists of the introduction to neural networks and deep learning. Also, it contains a description of available methods, their benefits and principles, used for processing image data. The second - practical - part of the thesis contains a proposal a appropriate model of Siamese networks to solve the problem of comparing two input image data and evaluating their similarity. The output of this work is an evaluation of several possible model configurations and highlighting the best-performing model parameters.
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Image similarity measuring using deep learning
Štarha, Dominik ; Šeda, Pavel (referee) ; Rajnoha, Martin (advisor)
This master´s thesis deals with the reseach of technologies using deep learning method, being able to use when processing image data. Specific focus of the work is to evaluate the suitability and effectiveness of deep learning when comparing two image input data. The first – theoretical – part consists of the introduction to neural networks and deep learning. Also, it contains a description of available methods, their benefits and principles, used for processing image data. The second - practical - part of the thesis contains a proposal a appropriate model of Siamese networks to solve the problem of comparing two input image data and evaluating their similarity. The output of this work is an evaluation of several possible model configurations and highlighting the best-performing model parameters.
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Mobile Water Treatment Plants
Trlica, Karel ; Moravec, Prokop (referee) ; Kárník, Jan (advisor)
This bachelor thesis deals with technologies of drinking water treatment. The focus is on comparison between mobile water treatment systems and ground water treatments. The first part of thesis is concerned with technology and construction of container water treatment system, while pointing out the benefits associated with its usage. The next part of thesis deals with ground water treatment system, analyzes its technologies and advantages. The thesis also assesses the performance differences between classic and container water treatment systems, while taking into account usage of mobile water treatment systems for specific conditions. The last part deals with specific water treatment systems, that is the container water treatment system CCW KU-1 and the water treatment system in Valašské Meziříčí. The thesis strives to explain both water treatment systems in detail. Overall evaluation and set of specific differences between the water treatment systems is included in the conclusion of the thesis.
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Application of the Universal USB Module LabJack
PŘIBYL, Vojtěch
This thesis describes applications of general-purpose USB module LabJackTM. This thesis acquaints with individual measuring modules by LabJackTM Company. It describes the selected modules LabJack U12TM and LabJack U3-HVTM at great length. This thesis contains selected themes acceptable for the application with modules LabJackTM and selection and implementation of sensors usable in selected themes. In this thesis is the signal way through measuring chain from sensor of physical quantity to final signal evaluation through the software eSimLab in detail described, propounded, in practice implemented and checked by measurements.
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