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Intelligent Music Player for Android
Tomášek, Michal ; Rozman, Jaroslav (referee) ; Kalmár, Róbert (advisor)
Today's market is full of different kinds of music players. However there is no music player using prediction, which would be able to work with usual usage and in real time. This bachelor's thesis deals with the design and implementation of a music player with implemented prediction. The creation of high quality architecture for this application and the choice of appropriate prediction algorithm are emphasized. At first, the category of methods of machine learning and afterwards the algorithm are determined. The final prediction algorithm is divided into a several sections, therefore it is necessary to pick or create a solution for all its parts. The outcome of this project is the music player for Android OS which would be able to predict and learn from a user interaction in real time.
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Android Music Player with the Song Selection by a Device Context
Chmelařová, Gabriela ; Burget, Radek (referee) ; Rychlý, Marek (advisor)
Tato práce pojednává o vytvoření mobilní aplikace zvažující kontext zařízení, která vybírá a doporučuje hudební skladby dle aktuálního stavu kontextu zařízení. Kontext je získáván na základě naměřených hodnot, které jsou získány z vestavěných senzorů mobilního zařízení a z ostatních systémových hodnot zařízení. Výběr konkrétní skladby je poté založen na výstupu modelu strojového učení, který klasifikuje kontext na základě aktuálních získaných dat a následně zvolí skladbu připadající k danému kontextu.
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A smart multimedia panel for Raspberry Pi
Bari, Lukáš ; Pavlík, Michal (referee) ; Macháň, Ladislav (advisor)
The subject of this project is design of a system for a multimedia player based on the Raspberry Pi platform. The work contains a design of the entire device as a multimedia panel with the possibility of direct access or remote access via web interface. With the help of this system with intuitive interface, the user will be able to browse the list of albums, songs, create playlists etc.
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Sound
Kryl, Ivo ; Schneider, Jiří (referee) ; Tobola, Ondřej (advisor)
The main objective of this bachelor thesis is to achieve modernization of the appearance of the audio equipment manufacturer. Design should respect all structural, technological, functional and ergonomic patterns.
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Mobile App for Receiving Podcasts and Audeliver.com
Janota, Maroš ; Szőke, Igor (referee) ; Herout, Adam (advisor)
The aim of this thesis is to implement a mobile application for receiving podcasts from Audeliver service. It is using modern graphic design for user interface based on Material Design. The application provides automatic synchronization of podcasts and downloading of newest episodes. All information about all episodes are saved into the Realm database. Individual chapters explain theoretical information about podcasts and developing of applications for Android platform. The other chapters describe design, testing, and implementation of the MyPodcasts application.
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Android Music Player with the Song Selection by a Device Context
Chmelařová, Gabriela ; Burget, Radek (referee) ; Rychlý, Marek (advisor)
Tato práce pojednává o vytvoření mobilní aplikace zvažující kontext zařízení, která vybírá a doporučuje hudební skladby dle aktuálního stavu kontextu zařízení. Kontext je získáván na základě naměřených hodnot, které jsou získány z vestavěných senzorů mobilního zařízení a z ostatních systémových hodnot zařízení. Výběr konkrétní skladby je poté založen na výstupu modelu strojového učení, který klasifikuje kontext na základě aktuálních získaných dat a následně zvolí skladbu připadající k danému kontextu.
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Intelligent Music Player for Android
Tomášek, Michal ; Rozman, Jaroslav (referee) ; Kalmár, Róbert (advisor)
Today's market is full of different kinds of music players. However there is no music player using prediction, which would be able to work with usual usage and in real time. This bachelor's thesis deals with the design and implementation of a music player with implemented prediction. The creation of high quality architecture for this application and the choice of appropriate prediction algorithm are emphasized. At first, the category of methods of machine learning and afterwards the algorithm are determined. The final prediction algorithm is divided into a several sections, therefore it is necessary to pick or create a solution for all its parts. The outcome of this project is the music player for Android OS which would be able to predict and learn from a user interaction in real time.
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Vytvoření CD a MP3 přehrávače za pomoci Raspberry Pi
KRATOCHVÍL, Ivan
The aim of this bachelor thesis is to construct functional CD and MP3 player with a use of the computer Raspberry Pi. The player is going to be controlled with hardware buttons, infrared remote controller, from web interface and from mobile appliaction. The thesis also contains instructions of putting the created device into operation, a description of its source code and the testing process.
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Sound
Kryl, Ivo ; Schneider, Jiří (referee) ; Tobola, Ondřej (advisor)
The main objective of this bachelor thesis is to achieve modernization of the appearance of the audio equipment manufacturer. Design should respect all structural, technological, functional and ergonomic patterns.
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|
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Mobile App for Receiving Podcasts and Audeliver.com
Janota, Maroš ; Szőke, Igor (referee) ; Herout, Adam (advisor)
The aim of this thesis is to implement a mobile application for receiving podcasts from Audeliver service. It is using modern graphic design for user interface based on Material Design. The application provides automatic synchronization of podcasts and downloading of newest episodes. All information about all episodes are saved into the Realm database. Individual chapters explain theoretical information about podcasts and developing of applications for Android platform. The other chapters describe design, testing, and implementation of the MyPodcasts application.
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