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Jaroslavice – place in the landscape
Šmejkal, Jiří ; Galeová, Nicol (referee) ; Ponešová, Barbora (advisor)
The theme of this diploma thesis is the architectural study of the complex of the Farm of 3D Printers in Jaroslavice. The technology of 3D printing at its speed of development has far outweighed the response to its needs. It lacks a new systematically planned building typology corresponding to the requirements of farms. Farms adapt to the spaces. The main aim of the work is to introduce the possibility of turning the situation and adapting the premises to the farms. The thesis follows the urban design of the restructuring of the Jaroslavice landscape elaborated in the previous semester. The project respects established principles at microregion level in the form of emphasis on self-sufficiency, population integrity or the use of current technologies. The land is located on the southern part of Jaroslavice. There are 3 agricultural buildings located on the property, which until 2010, when a photovoltaic power plant was built, operated in conjunction with a neighboring agricultural court. After the power plant was built, the bonds were irreversibly broken. Buildings are in a very poor condition and mutual cooperation no longer works. The existing solution replaces and shows the possibility of using solar energy in a different way. Thus, the construction cartridge works with a hybrid typology where the 3D production area is combined with the maximum solar gains of the photovoltaic panels. Generative methods have been used to design dominantly either for finding a form in terms of achieving maximum solar gains or after verifying the efficiency of the structure. The proposal has several scenarios of possible development. There are four different stages of growth and the linkage of production areas. Printers are able to replicate themselves at such a rate that they can expect rapid growth. The proposal uses controlled growth methods to simulate complex development under the conditions of maximum solar radiation. Visual distraction and overheating are also solved by atypical sunsets on the exterior façade. Thin-film photovoltaic panels are used on the sun, so it is able to produce electricity besides the shield. The energy-efficient shape along with the great advantage of the layout solution, instead of the corridor disposition, is a basic cell on the central plan view. This makes it possible to control and operate more of the machines more efficiently. The production site forwards counts full robot automation.
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Jaroslavice – place in the landscape
Šmejkal, Jiří ; Galeová, Nicol (referee) ; Ponešová, Barbora (advisor)
The theme of this diploma thesis is the architectural study of the complex of the Farm of 3D Printers in Jaroslavice. The technology of 3D printing at its speed of development has far outweighed the response to its needs. It lacks a new systematically planned building typology corresponding to the requirements of farms. Farms adapt to the spaces. The main aim of the work is to introduce the possibility of turning the situation and adapting the premises to the farms. The thesis follows the urban design of the restructuring of the Jaroslavice landscape elaborated in the previous semester. The project respects established principles at microregion level in the form of emphasis on self-sufficiency, population integrity or the use of current technologies. The land is located on the southern part of Jaroslavice. There are 3 agricultural buildings located on the property, which until 2010, when a photovoltaic power plant was built, operated in conjunction with a neighboring agricultural court. After the power plant was built, the bonds were irreversibly broken. Buildings are in a very poor condition and mutual cooperation no longer works. The existing solution replaces and shows the possibility of using solar energy in a different way. Thus, the construction cartridge works with a hybrid typology where the 3D production area is combined with the maximum solar gains of the photovoltaic panels. Generative methods have been used to design dominantly either for finding a form in terms of achieving maximum solar gains or after verifying the efficiency of the structure. The proposal has several scenarios of possible development. There are four different stages of growth and the linkage of production areas. Printers are able to replicate themselves at such a rate that they can expect rapid growth. The proposal uses controlled growth methods to simulate complex development under the conditions of maximum solar radiation. Visual distraction and overheating are also solved by atypical sunsets on the exterior façade. Thin-film photovoltaic panels are used on the sun, so it is able to produce electricity besides the shield. The energy-efficient shape along with the great advantage of the layout solution, instead of the corridor disposition, is a basic cell on the central plan view. This makes it possible to control and operate more of the machines more efficiently. The production site forwards counts full robot automation.
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Generative neural networks in image reconstruction
Honzátko, David ; Šorel, Michal (advisor) ; Zvirinský, Peter (referee)
Recent research in generative models came up with a promising approach to modelling the prior proba- bility of natural images. The architecture of these prior models is based on deep neural networks. Although these priors were primarily designed for generating new natural-like images, its potential use is much broader. One of the possible applications is to use these models for solving the inverse problems in low-level vision (i.e., image reconstruction). This usage is mainly possible because the architecture of these models allows computing the derivative of the prior probability with respect to the input image. The main objective of this thesis is to evaluate the usage of these prior models in image reconstruction. This thesis proposes a novel model-based optimization method to two image reconstruction problems - image denoising and single-image super-resolution (SISR). The proposed method uses optimization algorithms for finding the maximum-a- posteriori probability, which is defined using the above mentioned prior models. The experimental results demonstrate that the proposed approach achieves reconstruction performance competitive with the current state-of-the-art methods, especially regarding SISR.
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