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Study of potential of heat transfer enhancement in process plant
Němeček, Zbyněk ; Kilkovský, Bohuslav (referee) ; Jegla, Zdeněk (advisor)
This diploma thesis is a study of the potential of heat transfer enhancement in the process of hydrogenation refining of oil. The simulation of the process and the heat-hydraulic analysis of the heat exchanger network are performed using the software tools. Based on the obtained results and the results of the optimization study, a new heat exchanger is placed in the process and its parameters are subject to further calculations. The aim is to study the possibilities of heat transfer enhancement for the newly used heat exchanger and to discuss aspects connected with the use of selected software.
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Segmentation in the color fundus imges
Malínský, Miloš ; Jiřík, Radovan (referee) ; Kolář, Radim (advisor)
Optic nerve head and macula are important structures in fundus images. Detection and measurement plays crucial role in several diagnosis methods of optic disease. This work is focused on the detection of the central point of macula and optic nerve head, where the inner border is detected too. There are many methods for extracting this structure in retinal images. Due to the unique properties of each acquisition technique, a single generally acknowledged detection algorithm does not exist. The whole detection process is described from preprocessing through segmentation towards postprocessing. Presented methods are based on the combination of correlation techniques, Hough transform, active contours and morphological operations. The detected contours of the optic nerve head are evaluated and quantitatively compared with the contour drawn by experienced ophthalmologist. The master thesis contains quantity of images that help to describe detection methods.
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Automatic detection of neural fibers losses
Václavek, Martin ; Jiřík, Radovan (referee) ; Kolář, Radim (advisor)
This work is focused on detection of loss in nerve fibre layer on colour pictures of retina, witch are makes by fundus camera. It describe every simple objects of retina, optic nerve head, macula lutea and vascular bed. It detect optic nerve head and his near area, witch is general for detection of breakdownds. It use several metodes of picture adjusting for picture elaboration and objects detection (segmentation, thresholding, enhancement, hough transformation ). The detection of loss in nerve fibre layer is based on comparing of statistic parameters ( average, standart deviation, skewness coefficient and kurtosis coefficient histogram, entropy ) in choosed areas with and withou destruction of nerve layers. Vascular bed have badwatsh on results, cause of this we using hand choosing of essay.
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Theoretical Study of Magnetic Anisotropy in MgO-based Magnetic Tunnel Junctions
Vojáček, Libor ; Li,, Jing (referee) ; Chshiev,, Mairbek (advisor)
Magnetický tunelový spoj (MTJ) je spintronická součástka komerčně používaná ve vysoce citlivých čtecích hlavách pevných disků. Počínaje rokem 2007 přispěla k udržení exponenciálního nárůstu hustoty magnetického zápisu. Kromě toho se také stala stavebním kamenem rychlé, odolné, úsporné a nevolatilní magnetické paměti s přímým přístupem (MRAM). Tento nový typ polovodičové paměti, stejně jako je tomu u čtecích hlav disků, využívá tunelové spoje založené na krystalickém oxidu hořečnatém (MgO) spolu s 3d kovovými magnetickými prvky (Fe a Co). Pro zmenšení MTJ a současné udržení dlouhodobé stability paměti proti tepelným fluktuacím je zapotřebí silná magnetická anizotropie ve směru kolmém na rozhraní kov|MgO. V této práci proto nejdříve provedeme analýzu magnetokrystalické anizotropie (MCA) kubického prostorově centrovaného Fe, Co a Ni na MgO pomocí ab initio simulací. Dále bude vyvinut program pro výpočet tvarové anizotropie, která je kromě MCA velmi podstatná, neboť v součtu dávají efektivní anizotropii. Na závěr implementujeme program pro výpočet MCA na základě poruchové teorie druhého řádu. To nám umožní dát pozorované anizotropní vlastnosti do souvislosti přímo s elektronickou strukturou systému (pásovou strukturou a hustotou stavů).
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Photographic Detail Enhancement Methods
Sedlář, Pavel ; Zemčík, Pavel (referee) ; Čadík, Martin (advisor)
The aim of this Bachelor Thesis, which falls within the field of computer vision, is to get acquainted with the issue of methods that can highlight detail in the image. This work also describes specific methods that will later be implemented and with which, last but not least, experiment for further use.
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Removal of the masonry pillar in the front wall of the apartment house
Vítková, Barbora ; Bažant,, Zdeněk (referee) ; Strnad, Jiří (advisor)
This thesis focuses on the removal of the masonry pillar from the front wall of an apartment house. The masonry pillar should be replaced with two steel columns in a given axis distance. The parts of the thesis are a technical report, a static calculation and a graphic documentation. The description of the current object and the proposed solution is included within the technical report. The static calculation deals with a calculation of the strain and the enhancement of the current ferroconcrete lintel on the ground and first floor. A proposal of the solution, which is determined by the static calculation, is evident from the graphic documentary.
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Video Enhancement Using Convolutional Networks
Skácel, David ; Špaňhel, Jakub (referee) ; Hradiš, Michal (advisor)
Convolutional neural networks (CNN) represent a state-of-the-art approach to non-trivial image processing tasks, including compression artifacts reduction and image super-resolution. As some research groups nowadays show, these networks can also be leveraged to perform such tasks on real-world video data, resulting in video spatial super-resolution and more. The main goal of this work is to determine whether these nets can be adjusted to perform temporal super-resolution of real-world video data. I utilize the aforementioned neural net architectures in this paper to do so. As I show, given that the input videos are of reasonable quality, these nets are capable of double-image interpolation up to a certain level, where the output image is usable for temporal upsampling. Although the presented results are promising, I encourage more research to be done on this topic.
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Modification of Company Information System
Došek, Ivan ; Ondrovič, Ing Michal (referee) ; Koch, Miloš (advisor)
Bachelor thesis focuses on the enhancement and improvement of work with the data to be inserted into the database, due to more efficient work. Report data being generated by my software, where user will have to log in to see when and where the individual sees training and training of subordinates. The system is intended to replace the current inadequate and hardly maintainable condition momentary record of training in opaque Excel spreadsheets
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Identification of Speech Activity in Noisy Speech Signal
Pelikán, Martin ; Sysel, Petr (referee) ; Smékal, Zdeněk (advisor)
This paper is focused on identification of pauses in noisy speech signal and following filtering of the noise from the signal. Firstly the signal processing methods are theoretically described, then voice activity detectors and in the end noise filtering methods are described. Several voice activity detectors were created and their pause detection rate was compared.
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Enhancement of Probabilistic Methods for Password Cracking
Lištiak, Filip ; Polčák, Libor (referee) ; Hranický, Radek (advisor)
This thesis describes passwords cracking using probabilistic context-free grammars, specifically PCFG Cracker tool. The aim of the thesis is to design and implement enhancements to this tool, which reduce the size of output dictionaries while maintaining acceptable success rate. This work also solves critical parts in the tool that slow down the overall duration of the program. Another goal of the thesis is to analyze and implement targeted attack dictionaries that increase the scope and success rate of generated passwords.
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