National Repository of Grey Literature 7 records found  Search took 0.00 seconds. 
Visual inspection of surface treatment using machine vision
Tsarykau, Matsvei ; Sujová, Sára (referee) ; Škrabánek, Pavel (advisor)
Automated visual inspection of surface finishes is a fundamental challenge that can be solved by integrating machine vision systems. This work aims to analyze, design, implement and test such a system. The proposed system includes the selection of suitable hardware, the design of its placement relative to the target object, and the formulation of an algorithm for processing the image data captured by the system. In addition, it forms an integral part of the testing phase to evaluate the quality of object classification.
Comparation of prices of materials in the country and abroad
Pavlová, Nikola ; Výskala, Miloslav (referee) ; Aigel, Petr (advisor)
The aim of this master’s thesis is comparing prices of building materials wi-thin the building structure in Czech Republic with prices in Poland. The first, theo-retical, part describes differences among the construction classifications and pri-ces. At the end of this theoretical part is written about price calculation of building materials. Specifically about creations of that calculations and comparing between Poland and Czech Republic. The second part is concentrated on created budget and mainly on his bill of materials. The result part is made by comparing of chosen building material pri-ces..
Differential analysis of multilingual corpus in patients with neurodegenerative diseases
Kováč, Daniel ; Zvončák, Vojtěch (referee) ; Mekyska, Jiří (advisor)
This diploma thesis focuses on the automated diagnosis of hypokinetic dysarthria in the multilingual speech corpus, which is a motor speech disorder that occurs in patients with neurodegenerative diseases such as Parkinson’s disease. The automatic speech recognition approach to diagnosis is based on the acoustic analysis of speech and subsequent use of mathematical models. The popularity of this method is on the rise due to its objectivity and the possibility of working simultaneously on different languages. The aim of this work is to find out which acoustic parameters have high discriminative power and are universal for multiple languages. To achieve this, a statistical analysis of parameterized speech tasks and subsequent modelling by machine learning methods was used. The analyses were performed for Czech, American English, Hungarian and all languages together. It was found that only some parameters enable the diagnosis of the hypokinetic disorder and are, at the same time, universal for multiple languages. The relF2SD parameter shows the best results, followed by the NST parameter. When classifying speakers of all the languages together, the model achieves accuracy of 59 % and sensitivity of 72 %.
Differential analysis of multilingual corpus in patients with neurodegenerative diseases
Kováč, Daniel ; Zvončák, Vojtěch (referee) ; Mekyska, Jiří (advisor)
This diploma thesis focuses on the automated diagnosis of hypokinetic dysarthria in the multilingual speech corpus, which is a motor speech disorder that occurs in patients with neurodegenerative diseases such as Parkinson’s disease. The automatic speech recognition approach to diagnosis is based on the acoustic analysis of speech and subsequent use of mathematical models. The popularity of this method is on the rise due to its objectivity and the possibility of working simultaneously on different languages. The aim of this work is to find out which acoustic parameters have high discriminative power and are universal for multiple languages. To achieve this, a statistical analysis of parameterized speech tasks and subsequent modelling by machine learning methods was used. The analyses were performed for Czech, American English, Hungarian and all languages together. It was found that only some parameters enable the diagnosis of the hypokinetic disorder and are, at the same time, universal for multiple languages. The relF2SD parameter shows the best results, followed by the NST parameter. When classifying speakers of all the languages together, the model achieves accuracy of 59 % and sensitivity of 72 %.
Revitalization of specific areas of industrial and military brownfields
DUŠEK, Milan
This thesis is focused on issues of a real, military and industrial brownfield. There is explained the term ''brownfield'' in the first part of this thesis and then there are described types, classifications, methods of mapping, opportunities of revitalization and their financing. The second part is focused on a real, industrial and military brownfield in the South-Bohemian region, his history and a potential utilization in the years to come.
Creation of Unit for Datamining
Krásenský, David ; Burgetová, Ivana (referee) ; Lukáš, Roman (advisor)
The goal of this work is to create data mining module for information system Belinda. Data from database of clients will be analyzed using SAS Enterprise Miner. Results acquired using several data mining methods will be compared. During the second phase selected data mining method will be implemented such as module of information system Belinda. The final part of this work is evaluation of acquired results and possibility of using this module.
Comparation of prices of materials in the country and abroad
Pavlová, Nikola ; Výskala, Miloslav (referee) ; Aigel, Petr (advisor)
The aim of this master’s thesis is comparing prices of building materials wi-thin the building structure in Czech Republic with prices in Poland. The first, theo-retical, part describes differences among the construction classifications and pri-ces. At the end of this theoretical part is written about price calculation of building materials. Specifically about creations of that calculations and comparing between Poland and Czech Republic. The second part is concentrated on created budget and mainly on his bill of materials. The result part is made by comparing of chosen building material pri-ces..

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