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SMS Enterprise Premises
Zatloukalová, Veronika ; Suchánek,, Petr (referee) ; Nový, Alois (advisor) ; Novotný, Miloslav (advisor)
The Bachelor thesis focuses on small and medium-size enterprise (SMEs) premises situated near the Kšírova Street in Brno. The construction area is to be found in the city district Horní Heršpice. The nearest surroundings are characterised by a multifunctional neighbourhood. At the same time, the new planned city district is taken into consideration. The area intended for reconstruction has recently served as a builder´s yard. The designed construction is composed of two buildings and its location on the plot enables it to form a city block. Both buildings are designed as a four-storey, one of the buildings are located underground parking. There are main entrance hall, production areas with facilities, eating facilities offices and a car park in the buildings. The access to individual production units is from outside back porches. There is an inner yard between the two buildings that is going to be used partly for supplying and partly to rest. The street facades are compact character, austere space is lined CETRIS plates, strip windows are placed in fixed horizontal and vertical lines.
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Bootstrap methods in phylogenetics
Sedlář, Karel ; Vohánka,, Jaroslav (referee) ; Škutková, Helena (advisor)
In recent decades, phylogenetic reconstruction has noted great development. It was achieved by using newly acquired molecular characteristics and processing that it began to be taken as an objective science. Rapid development showed that it is necessary to evaluate the results because new techniques provided phylograms from unreliable data. For these purposes, statistical sampling methods have been applied to the phylogeny, of which bootstrapping began later to dominate. However, it also has limitations, which should be considered during interpreting the results it provided to us. This work demonstrates by combining the principles of bootstrapping and consensus trees we can obtain phylograms with better properties than those of conventional phylograms.
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Web Page Classification
Kolář, Roman ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This paper presents problem of automatic webpages classification using association rules based classifier. Classification problem is presented, as a one of datamining technique, in context of mining knowledges from text data. There are many text document classification methods presented with highlighting benefits of classification methods using association rules. The main goal of work is adjusting selected classification method for relation data and design draft of webpages classifier, which classifies pages with the aid of visual properties - independent section layout on the web page, not (only) by textual data. There is also ARC-BC classification method presented as a selected method and as one of intriguing classificators, that derives accuracy and understandableness benefits of all other methods.
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Design of slide Grinder
Kudláček, Miroslav ; Tůma, Jiří (referee) ; Holub, Michal (advisor)
The goal of my thesis is to design a support for a CNC horizontal surface grinder, using the working area of grinding wheel circumference. The proposal is based on the client’s requirements for several variants of the propulsion drive and guide systems.
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Evaluation of Posible Benefits of Enterprise Europe Network pro MSP
Jünglingová, Ivana ; Šafránek, Jiří (referee) ; Koleňák, Jiří (advisor)
The goal of the thesis „Evaluation of possible benefits of Enterprise Europe Network for SME“ is to describe and analyze the services of the network in the real business environment. The theoretical part is aimed to characterize a small and middle enterprise, its importance for national economy, financial management, possibilities to obtain financial support and services of Enterprise Europe Network. The practical part is concentrated on decription of the companies which took use of the all-European network. The inquiry of processing shows us benefits and help of the network for Czech enterprisers.
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