National Repository of Grey Literature 147 records found  beginprevious113 - 122nextend  jump to record: Search took 0.00 seconds. 
Creating Internal Database by Using SQL Server
Košinová, Kateřina ; Marek, Tom (referee) ; Kříž, Jiří (advisor)
This thesis focuses on the design and creation of internal SQL database to improve the operation of company Service Baur, s. r. o. In the first part of this work are defined the oretical foundations that are necessary for designing internal database. The second part analyzes the current state the company and the third part focuses on the design solutions and service benefits for company Servis Baur, s. r. o.
Productivity Analysis of Králík's Bakery Using Time Series
Šimková, Marcela ; Pokorný, Petr (referee) ; Kropáč, Jiří (advisor)
The purpose of this Bachelor thesis is to come up with an in-depth efficiency analysis of Kralik's bakery by means of using time series. The intput data set is entirely based on references which were obtained directly from the bakery. Main intention is therefore concentrated on drawing up an analysis that will be used for prediction of production factors in a future. This will consequently lead to better optimization of production plans.
Statistic evaluation of chosen investment funds
Mitrengová, Anna ; Odehnalová, Bohumila (referee) ; Kropáč, Jiří (advisor)
It exists a lot of ways, how to value our money. One of them is its investing to investment funds. But nowadays it is difficult for us to choose in such a big supply of the funds. That is why a lot of investors ask their financial advisors who are able to help them with the choice Everyone who is interested in coffers investing would surely appreciate some well arranged investment fund comparison which would help him/her in quick decision to which of these funds entrust the money for a time. By this bachelor thesis I try to create right such summary. I hope I will help to make the whole investment procedure effective beginning with the choice of the right investment fund.
Static image enhancement using wavelet transform
Candrák, Matúš ; Rajmic, Pavel (referee) ; Smékal, Zdeněk (advisor)
In tomography and ultrasound signal processing, there is the noise build-up into the processing. Bachelor's thesis deals with static images highlighting, with denoising using wavelet transformation and edge detection with basic operators. This work describes some types of wavelts used for denoising of image and basic operators for edge detection in the image. The last part deals with a particular application for image processing, which was created in MATLAB.
Prediction of Time Series Using Statistical Methods
Beluský, Ondrej ; Bidlo, Michal (referee) ; Schwarz, Josef (advisor)
Many companies consider essential to obtain forecast of time series of uncertain variables that influence their decisions and actions. Marketing includes a number of decisions that depend on a reliable forecast. Forecasts are based directly or indirectly on the information derived from historical data. This data may include different patterns - such as trend, horizontal pattern, and cyclical or seasonal pattern. Most methods are based on the recognition of these patterns, their projection into the future and thus create a forecast. Other approaches such as neural networks are black boxes, which uses learning.
Decomposition of Volatile Organic Compounds in Gliding Arc Discharge
Grossmannová, Hana ; Kapička, Vratislav (referee) ; Pekárek,, Stanislav (referee) ; Krčma, František (advisor)
The aim of this thesis was to elaborate the issue of the decomposition of volatile organic compounds in the Gliding Arc plasma discharge at atmospheric pressure. Technologies based on nonthermal plasma could offer a good alternative to conventional techniques for the decomposition of volatile organic compounds, such as thermal and catalytic oxidation. Gliding Arc discharge (GidArc) is a widely exploited nonthermal plasma source used for many industrial applications, such as air-pollution control. The energy efficiency, reaction selectivity or production of specific species may be achieved in this kind of plasma, and thus for various chemical processes it can be much more effective then in conventional techniques. Presented experiments are linked to the previous results published in diploma thesis, which gave us the basics for construction of new reactor and optical emission spectroscopy measurements have been done to characterize the plasma. Toluene (aromatic, unsaturated), cyclohexane (aromatic, saturated) and hexane (aliphatic, saturated) were used as the model compounds for these experiments in the concentration range from hundreds to thousands ppm. Results focused on the electrical parameters of the reactor were carried out, with the aim to operate the system at a lower energy cost. In order to get the time-resolved diagnostics of the moving plasma channel, the evolution of the plasma channel was recorded continuously by using a high-speed video camera. In next part of the work, some results concerning generation of low molecular products like nitric oxide, nitrogen dioxide, hydrogen and carbon monoxide on the discharge conditions are presented. In combustion process, undesirable mixture of toxic highmolecular by-products can be formed. Samples were therefore analysed in gas chromatograph linked to mass spectrometer, to characterize the chemical transformation pathway of VOC in plasma.
Implementation of edge detector using wavelet transform
Pálka, Zbyněk ; Rášo, Ondřej (referee) ; Růčka, Lukáš (advisor)
This thesis is focused on edge detection in image. In theoretical part are contained genarally used methods of edge detection using first and second-order derivate and both of mentioned methods are described here. Further it’s deiscribed here continuous, descrete and two dimensional descrete wavelet transform and process of noise removing in image by descrete wavelet transform. In next part are analysed two methods of edge detection using wavelet transform and their possible realizations in program Matlab. In practical part of thesis is in detail described algorithm of program on edge detection using wavelet transform and it‘s described here individual functions of program. The main content of practical part are visual results of wavelet edge detector and their comparison with Canny, Prewitt and Sobel edge detector.
Image noise reduction method based on discrete wavelet transform
Holiš, Michal ; Přinosil, Jiří (referee) ; Malý, Jan (advisor)
This bachelor's thesis contains theoretical treatise on noises, which occur in digital visual data, their classification and possibilities of their removal. The next part is applied to theory of wavelets, wavelet transforms and their usage in working with one-dimensional, but mostly with two-dimensional signals. It is than mainly applied on visual data with a view to removing of failures contained in these data. The last part of the thesis is about implementation of demonstrational programme. This programme is created for removing of noise from the chosen visual data on the basis of user's chosen variables.
Time Series Analysis and Predictionby Means of Statistical Methods – Box-Jenkins
Zatloukal, Radomír ; Bednář, Josef (referee) ; Žák, Libor (advisor)
Two real time series, one discussing the area of energy, other discussing the area of economy. By the energetic area we will be dealing with the electric power consumption in the USA, by the economic area we will be dealing with the progress of index PX50. We will try to approve the validity of hypothesis that with some test functions we will be able to set down the accidental unit distribution in these two time series.
Use of Statistical Methods for Data Processing
Havel, Tomáš ; Michalcová, Jitka (referee) ; Doubravský, Karel (advisor)
This master’s thesis engages in elaborating the chosen ratio indicators of the two competing companies, elaborating time series out of these indicators and their equation. The prognosis of the future development will be determined based on these indicators and the suggestions will be formulated for eventual issues.

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