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Universal Reservation System in Cloud
Bulín, Martin ; Kouřil, Jan (referee) ; Škoda, Petr (advisor)
This bachelor thesis describes design and implementation of universal reservation system in cloud. Main part of this thesis includes review of cloud providers and existing reservation systems. Furthermore this academic paper deals with proposal and implementation of the reservation system. This system can show us the benefit of the cloud. In the conclusion I deal with scalability of cloud and testing created system in Amazon Web Services cloud.
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XML Dictionary Tagging
Vavrečan, Lukáš ; Škoda, Petr (referee) ; Smrž, Pavel (advisor)
This thesis deals with processing of electronic dictionaries in the LMF format, their analysis and conversion into an unified form. The aim is to create a system, that can make the machine processing of dictionaries easier, thanks to the mass changes. We will introduce the necessary technology, especially Python3, format XML and LMF.
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Advanced Songbook for Mobile Devices
Komárek, Ondřej ; Škoda, Petr (referee) ; Smrž, Pavel (advisor)
This Thesis describes all way from design and implementation to release and advertising of songbook application for Android operation system. The most important goal of the app is the ability to modify lyrics in such way, that they can be viewed flawlessly even on small screens of mobile devices. Application also features many other functions mostly useful for guitar players. User can download lyrics of song with chords directly from app and set up automatic scrolling with different speed for each part of the song. Thesis also describes other important aspects of application development, like user testing and final app release.
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Upcoming Features of SPLAT-VO in Astroinformatics
Šaloun, P. ; Andrešič, D. ; Škoda, Petr ; Zelinka, I.
During last decade was developed fully automatized (robotic) class of telescopes, that produce huge amount of data per each night. Amount of recorded data is usually in the scale of petabytes. To process properly all data and select an important events it is needed to use sophisticated software methods and algorithms. It caused an appearance of a new field of science - astroinformatics. In this paper we introduce a small part of our contribution to the astroinformatics field - a specialized software SPLAT-VO. It is used for processing and visualization of astrophysical data generated by nonlinear, complex or even chaotic processes in the space. Overview of new features so far prepared for new version of SPLAT-VO. The overview is focused on enhancements of user experience, work with SAMP protocol and other interoperability that improves work with global list of spectra, plot window and analysis menu.
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Wavelet Based Feature Extraction for Clustering of Be Stars
Bromová, P. ; Škoda, Petr ; Zendulka, J.
The goal of our work is to create a feature extraction method for classification of Be stars. Be stars are characterized by prominent emission lines in their spectrum. We focus on the automated classification of Be stars based on typical shapes of their emission lines. We aim to design a reduced, specific set of features characterizing and discriminating the shapes of Be lines. In this paper, we present a feature extraction method based on the wavelet transform and its power spectrum. Both the discrete and continuous wavelet transform are used. Different feature vectors are created and compared on clustering of Be stars spectra from the archive of the Astronomical Institute of the Academy of Sciences of the Czech Republic. The clustering is performed using the kmeans algorithm. The results of our method are promising and encouraging to more detailed analysis.
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