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Multifunctional house in Brno
Kalíšková, Eliška ; Žák, Libor (referee) ; Boleslavská, Yvona (advisor) ; Petříček, Tomáš (advisor)
The main aim of this work is the solution of a new multifunctional building in Židenice, Brno, on the Corner of Táborská and Nezamyslova. The conception has been set by the place which is very close to the Chapel of St. F. of Assisi and by urban plans an local people’s needs and interests. The building has been designed not to damage the look of the local houses and streets and the first floor has been supposed to be used for another purpose than housing. The house was originally designed only like the first floor building. There are other houses which have got from 3 to 5 floors in neighbourhood streets. Among other places there are grammar school, school of Arts, shops and services. The problem was to place this building among the houses with various height by the special shape of the roof. The final effect causes no disharmony in the streets. This house is situated among the others perfectly in the corner position and keep the other houses‘ height from both of the streets. The aim of the multifunctional object is filled up by the first floor and housing in the floors above. In spite of the fact that there is a lack of the car parks the new underground parking site has been set up. The flats here have been designed according to local people’s interests.
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House at the chapel
Leitmannová, Barbora ; Žák, Libor (referee) ; Boleslavská, Yvona (advisor) ; Hradil, Dušan (advisor)
This work deals with elaboration of project documentation, adjustments of architectural study and processing architectural detail of a House next to the Kaple svatého Františka z Assisi. The task was to design a polyfunctional building on a corner lot, which is a part of the housing estates of Táborská Street and ends the housing estates of Nezamyslova Street, in the city district Brno-Židenice. The goal of this project was to create an object that would be attractive by it's content for the whole district.The design is composed of two objects. The object that would be a part of the Táborská Street housing estate is a five storey building. The ground floor is used for commerce, specifically a library with a coffe shop. The other three stories are dedicated to residential accommodation for young. The first floor contains two smaller and two larger flats, where each of them is composed of two residential compartments and a shared kitchen joined with the living room. One of these flats is barrier-free. Trough the second and third storey pass six duplex flats. The second object that is a part of the Nezamyslova Street housing estate is a three storey building. The ground floor is again used for commerce, specifically a paper shop. The first floor houses one two floor flat and one four room flat. Due to the shortage of parking space an underground parking lot is situated below the objects which is accessed from the Nezamyslova Street.A significant element of this project is an object formed by an intersection of cubical shapes laid partially on the residential objects. This object creates a vertical garden accessible not only to the tenants, but primarily to the public. This object adds an otherwise absent green space in an unconvientional vertical form. It is a two storey object made of a steel contsruction, overgrown by green vines, whose irregularity allows the visitors increased view of the surroundings and at the same time allowing relaxation while surrounded
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Approximation of spatially-distributed hierarchically organized data
Smejkalová, Veronika ; Žák, Libor (referee) ; Pavlas, Martin (advisor)
The forecast of the waste production is an important information for planning in waste management. The historical data often consists of short time series, therefore traditional prognostic approaches fail. The mathematical model for forecasting of future waste production based on spatially distributed data with hierarchically structure is suggested in this thesis. The approach is based on principles of regression analysis with final balance to ensure the compliance of aggregated data values. The selection of the regression function is a part of mathematical model for high-quality description of data trend. In addition, outlier values are cleared, which occur abundantly in the database. The emphasis is on decomposition of extensive model into subtasks, which lead to a simpler implementation. The output of this thesis is tool tested within case study on municipal waste production data in the Czech Republic.
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Introduction to Six Sigma Method and its Application for Process Improvements
Joska, Jakub ; Žák, Libor (referee) ; Bednář, Josef (advisor)
First part of the thesis deals with the description of Six sigma method and its most commonly used methodology DMAIC. The second part is a brief introduction of specific practical problem - electroforming. The third part describes the statistical tools used to solve the given task, especially the Pearson's chi-squared test of independence. The last part of the thesis contains a summary of data, calculation itself and data analysis results.
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Development and history of probability theory
Michalová, Jitka ; Karpíšek, Zdeněk (referee) ; Žák, Libor (advisor)
This bachelor thesis deals with the history and development of probability and its theory before the introduction of Kolmogorov's axiomatic definition in the 20th century. It follows the Problem of points and its solvers: Luca Pacioli, Niccola Fontana Tartaglia, Blaise Pascal and Pierre de Fermat. It focuses on the works De Ratiociniis in Ludo Aleae by Christiaan Huygens and Ars Conjectandi by Jacob Bernoulli. It also deals with various definitions of probability: classical (Laplac), statistical, geometric and Kolmogorov's axiomatic definition. It also covers conditional probability and Bayes's Theorem.
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Time Series Analysis and Comparison by Means of Statistical Methods
Kopecký, Radek ; Bednář, Josef (referee) ; Žák, Libor (advisor)
The aim of the thesis mainly is to understand an issue of time series analysis. There are many methods in time series analysis, but purpose of this analysis persists the same, which is a construction of sufficient model of time series and his application in forecasting of time series. We have to make a basic identification of time series to establish right process in model constructing. The first and the second chapter is devoted to this basic identification. There are many methods, how we said before, for constructing of concrete model. In this thesis, exactly in the third chapter, we introduce one of the most flexible methodology of model constructing. That is The Box-Jenkins methodology, which was defined in 1976 by these men. In the last chapter we try to put to use insight in the issue of time series analysis for comparison and separation of the space of time series and this comparison use for the right interpretation of the parameters of time series model. The diploma project was supported by project from MSMT of the Czech Republic no. 1M06047 "Centre for Quality and Reliability of Production".
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Statistical Classification Methods
Barvenčík, Oldřich ; Žák, Libor (referee) ; Michálek, Jaroslav (advisor)
The thesis deals with selected classification methods. The thesis describes the basis of cluster analysis, discriminant analysis and theory of classification trees. The usage is demonstrated by classification of simulated data, the calculation is made in the program STATISTICA. In practical part of the thesis there is the comparison of the methods for classification of real data files of various extent. Classification methods are used for solving of the real task – prediction of air pollution based of the weather forecast.
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Comparison of Heuristic and Conventional Statistical Methods in Data Mining
Bitara, Matúš ; Žák, Libor (referee) ; Bednář, Josef (advisor)
The thesis deals with the comparison of conventional and heuristic methods in data mining used for binary classification. In the theoretical part, four different models are described. Model classification is demonstrated on simple examples. In the practical part, models are compared on real data. This part also consists of data cleaning, outliers removal, two different transformations and dimension reduction. In the last part methods used to quality testing of models are described.
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Multidimensional regression models
Hrubešová, Gabriela ; Bednář, Josef (referee) ; Žák, Libor (advisor)
The subject of this diploma thesis is the use of knowledge of multidimensional regression models in practice. The first part describes the theoretical basis for regression analysis. Then further we focus on modeling theory and nonlinear multidimensional models. The next part describes a real problem. This is the width of kerf of titanium alloy using wire electrical discharge machining (WEDM). We apply most of the theoretical knowledge to this problem, and we use regression analysis using Minitab software. We will analyze the data from different perspectives and create several multidimensional regression models. In the last part we summarize the results obtained by the regression analysis.
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