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iOS Application for Pokemon's GO Players Community
Pihrt, Patrik ; Kočí, Radek (referee) ; Hrubý, Martin (advisor)
Pokémon Go is one of the most successful mobile game applications ever created. The game is supported on Android and iOS platforms. This bachelor's thesis describes the way of finding out certain type of information from game's screenshot. Those screenshots are inserted to the application by user, datas are calculated and Pokémon's individual value is known and showed. Results are saved and can be seen anytime. The application provides the newest gaming information.
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iOS Application for Driving Data Extraction and Analysis via OBD-II
Pihrt, Patrik ; Beran, Vítězslav (referee) ; Bobák, Petr (advisor)
This project aims to create a mobile application for iOS devices that provide valuable information about user's car rides. Needed data are obtained by ELM327 located in OBD-II scanner which can communicate with the car. Obtained data are analyzed using table of limits. The application informs riders about their driving mistakes and giving them tips how to fix them. Trips can be saved and exported in the form of logbook. In addition application includes diagnostic functions that can be found in every other diagnostic application.
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iOS Application for Driving Data Extraction and Analysis via OBD-II
Pihrt, Patrik ; Beran, Vítězslav (referee) ; Bobák, Petr (advisor)
This project aims to create a mobile application for iOS devices that provide valuable information about user's car rides. Needed data are obtained by ELM327 located in OBD-II scanner which can communicate with the car. Obtained data are analyzed using table of limits. The application informs riders about their driving mistakes and giving them tips how to fix them. Trips can be saved and exported in the form of logbook. In addition application includes diagnostic functions that can be found in every other diagnostic application.
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iOS Application for Pokemon's GO Players Community
Pihrt, Patrik ; Kočí, Radek (referee) ; Hrubý, Martin (advisor)
Pokémon Go is one of the most successful mobile game applications ever created. The game is supported on Android and iOS platforms. This bachelor's thesis describes the way of finding out certain type of information from game's screenshot. Those screenshots are inserted to the application by user, datas are calculated and Pokémon's individual value is known and showed. Results are saved and can be seen anytime. The application provides the newest gaming information.
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