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Upgrade of application of excavator MECALAC 714 MW
Cikánek, Martin ; Vepřek, Milan (referee) ; Škopán, Miroslav (advisor)
This thesis deals with the use-expansion of Mecalac 714 MW excavators. There are three modifications of this device which improve its applicabibility and versatility in constructional machines branch. The first modification is creating additional frame for additional devices transportation. The second one is mechanical enlargement of supporting feet for better stabilisation during working regime. The third one is creating the device for transportation of materials stored on pallets. This thesis presents the description of all devices, the way of fastening to the excavator, stability calculatoins and the calculatoin of economic demandingness.
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Detection of biological structures in TEM microscope images
Cikánek, Martin ; Chmelík, Jiří (referee) ; Potočňák, Tomáš (advisor)
The aim of the first part of this thesis is to explain the theoretical basis of transmission electron microscopy and to mention fundamental parts of transmission electron microscopes. The next part of this work is focused on possible methods of image segmentation, the use of neural networks in the detection of objects in an image and the subsequent clustering of results. The theoretical part of the thesis is concluded with an explanation of some already published methods of automatic detection of biological structures in microscopic images and theoretical design of the algorithm, which will be subsequently developed. The process of training neural networks in order to automatically detect biological structures in an image is described at the beginning of the practical part. This is followed by an evaluation of the results achieved by these networks. Subsequently, cluster analysis methods are applied to these results, the products of which are compared with each other and also with the results obtained by already published methods.
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Sleep stages classification
Cikánek, Martin ; Mézl, Martin (referee) ; Potočňák, Tomáš (advisor)
The aim of this bachelor thesis was to elaborate a literature research on the topic of automatic classification of sleep stages from polysomnographic measurements and to subsequently select a way of feature extraction and quantitatively evaluate it. In the first part, the thesis deals mostly with the theory regarding the classification of sleep stages and analyzes the various possibilities of the process. This part is followed by a description of individual parts of the program, which is used for the extraction and subsequent quantitative evaluation of the features. The work is concluded by statistical evaluation of the results.
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Detection of biological structures in TEM microscope images
Cikánek, Martin ; Chmelík, Jiří (referee) ; Potočňák, Tomáš (advisor)
The aim of the first part of this thesis is to explain the theoretical basis of transmission electron microscopy and to mention fundamental parts of transmission electron microscopes. The next part of this work is focused on possible methods of image segmentation, the use of neural networks in the detection of objects in an image and the subsequent clustering of results. The theoretical part of the thesis is concluded with an explanation of some already published methods of automatic detection of biological structures in microscopic images and theoretical design of the algorithm, which will be subsequently developed. The process of training neural networks in order to automatically detect biological structures in an image is described at the beginning of the practical part. This is followed by an evaluation of the results achieved by these networks. Subsequently, cluster analysis methods are applied to these results, the products of which are compared with each other and also with the results obtained by already published methods.
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Sleep stages classification
Cikánek, Martin ; Mézl, Martin (referee) ; Potočňák, Tomáš (advisor)
The aim of this bachelor thesis was to elaborate a literature research on the topic of automatic classification of sleep stages from polysomnographic measurements and to subsequently select a way of feature extraction and quantitatively evaluate it. In the first part, the thesis deals mostly with the theory regarding the classification of sleep stages and analyzes the various possibilities of the process. This part is followed by a description of individual parts of the program, which is used for the extraction and subsequent quantitative evaluation of the features. The work is concluded by statistical evaluation of the results.
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|
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Upgrade of application of excavator MECALAC 714 MW
Cikánek, Martin ; Vepřek, Milan (referee) ; Škopán, Miroslav (advisor)
This thesis deals with the use-expansion of Mecalac 714 MW excavators. There are three modifications of this device which improve its applicabibility and versatility in constructional machines branch. The first modification is creating additional frame for additional devices transportation. The second one is mechanical enlargement of supporting feet for better stabilisation during working regime. The third one is creating the device for transportation of materials stored on pallets. This thesis presents the description of all devices, the way of fastening to the excavator, stability calculatoins and the calculatoin of economic demandingness.
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