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Cutting tools for deep drilling and their use in practice
Sedlář, Jiří ; Kalivoda, Milan (referee) ; Jaroš, Aleš (advisor)
This bachelor thesis deals with tools for drilling deep holes. The first part is focused on the basic description of the drilling process, sorting the tools according to their construction and last but not least, sorting of the systems used for deep drilling. In the theses is further elaborated an overview of materials for the production of cutting tools and ways of coating, which are used the most nowadays. There is a constant development in coating, because of the better mechanical, physical and chemical properties in this field. The last part is dedicated to the definition of the tools for deep drilling and their use in practice.
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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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Cutting tools for deep drilling and their use in practice
Sedlář, Jiří ; Kalivoda, Milan (referee) ; Jaroš, Aleš (advisor)
This bachelor thesis deals with tools for drilling deep holes. The first part is focused on the basic description of the drilling process, sorting the tools according to their construction and last but not least, sorting of the systems used for deep drilling. In the theses is further elaborated an overview of materials for the production of cutting tools and ways of coating, which are used the most nowadays. There is a constant development in coating, because of the better mechanical, physical and chemical properties in this field. The last part is dedicated to the definition of the tools for deep drilling and their use in practice.
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|
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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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