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The Analysis of Company Financial Position
Zapletal, Petr ; Kubala, Jaroslav (referee) ; Luňáček, Jiří (advisor)
The subject of my bachelor work is to make estimation of the financial health of the concrete sign based on the financial-analytical methods. Work consists of free basic parts. The first one deals with the theoretical pieces of knowledge, which are practically used for the financial analysing of the concrete sign in the second part. The third part summarises the overall financial situation of the sign and presents the proposals to it’s improvement.
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Web Portal for Network Traffic Reporting
Zapletal, Petr ; Straka, Martin (referee) ; Tobola, Jiří (advisor)
This thesis deals with the design and implementation of web portal with reports about network traffic. This system is designed for easy network monitoring with transparent charts a tables. To obtain statistics from network traffic, NetFlow technology, which is the key part of system, is used. Portal is platform independent and is built around HTML and PHP technologies. Portal also allows export proccessed data through periodic email service or files in PDF format.
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A Classification Methods for Retinal Nerve Fibre Layer Analysis
Zapletal, Petr ; Kolář, Radim (referee) ; Odstrčilík, Jan (advisor)
This thesis is deal with classification for retinal nerve fibre layer. Texture features from six texture analysis methods are used for classification. All methods calculate feature vector from inputs images. This feature vector is characterized for every cluster (class). Classification is realized by three supervised learning algorithms and one unsupervised learning algorithm. The first testing algorithm is called Ho-Kashyap. The next is Bayess classifier NDDF (Normal Density Discriminant Function). The third is the Nearest Neighbor algorithm k-NN and the last tested classifier is algorithm K-means, which belongs to clustering. For better compactness of this thesis, three methods for selection of training patterns in supervised learning algorithms are implemented. The methods are based on Repeated Random Subsampling Cross Validation, K-Fold Cross Validation and Leave One Out Cross Validation algorithms. All algorithms are quantitatively compared in the sense of classication error evaluation.
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Building of Successful Web Projects
Kadeřábek, Jakub ; Zapletal, Petr (referee) ; Kříž, Jiří (advisor)
This diploma thesis considers with describing of methods and procedures used in process of production and building successful web projects. Main spheres of interest are e-business strategy, strategy of internet marketing and procedures of managing customer relationship. Theoretic notes are demonstrating on practice example of project management in case study which describes application of internet shop.
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Wall crane
Zapletal, Petr ; Jonák, Martin (referee) ; Pokorný, Přemysl (advisor)
This bachelor thesis deals with the constructional design of wall crane with 2500 mm crane radius and lifting capacity 1000 kg. Thesis includes design of crane, the choice of components, control calculation according to applicable standards and choice of a suitable hoist and trolley. An integral part of the thesis is design documentation.
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Fundraising of Selected Non-Profit Organization
Matušková, Nikola ; Zapletal, Petr (referee) ; Lajtkepová, Eva (advisor)
The aim of this study is to suggest new ways of obtaining additional financial resources from the public and private sources. It is based on the analysis of the selected non-profit organization. The theoretical part is focused on a legal definition of non-profit organizations and a justification of their existence. The design part is devoted to the analysis of the economic statements of the selected non-profit organization – Junák-český skaut, středisko Křtiny, z.s. that is based on education of children and young people. This study also includes acquisitions of the additional financial resources, that were proposed in according to the activities of the organization.
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Mining Module of Data Mining System FIT-Miner
Zapletal, Petr ; Bartík, Vladimír (referee) ; Zendulka, Jaroslav (advisor)
This master's thesis deals with with FIT-Miner, the system for knowledge discovery in databases. The first part of this paper describes the data-mining process, mixture model's issues and FIT-Miner system. Second part deals with design, implementation and testing of created module, which is used for cluster analysis with Expectation-Maximalization algorithm. The end of the paper is focused to design of modules using Java Store Procedures Technology.
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