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Mobile App for Sharing Playlists in a Band
Skoták, Jiří ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This bachelor thesis describes development of an application for sharing playlists in band. The application is developed for iOS in Objective-C language. The application is imple- mented using MVC software architectural pattern. The result is user-friendly application, suitable for managing band’s playlists. The main feature of this thesis is summary of recom- mendations for iOS platform, summary of principles for creating user-friendly application and introduction of band’s playlists management.
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Cooking Advisor for iOS
Vaďura, Martin ; Rozman, Jaroslav (referee) ; Hrubý, Martin (advisor)
The bachelor thesis deals with the design and implementation of a mobile application for iOS devices that allows easy sharing of recipes. The design was developed in diagrams or Figma tool. The implementation is in swift language using CoreData, CloudKit, VisonKit, SwiftUI frameworks. The focus in the design and implementation was on usability, extensibility and synchronization with cloud storage in sync with persistent storage. The thesis discusses iOS application development tools, analysis of each technology, design and implementation of the application and finally testing of the application.
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Library of UI Components for Developing Applications in iOS
Salih, Adam ; Zbořil, František (referee) ; Hrubý, Martin (advisor)
In this thesis I analyse and implement a set of frequently used components that are not part of the standard set of user interfaces. Then I implement these components using the UIKit and SwiftUI libraries. In this work I also focus on the implementation of strongly typed data models. In the end I verify the implementation of the set of components on a demonstration application.
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Sport Assistant for iOS
Fišer, Jakub ; Janoušek, Vladimír (referee) ; Hrubý, Martin (advisor)
The aim of this thesis was to create a mobile phone application for iOS, that would be used for recording all sport activities of a person. The application can record activity using GPS or count the exercise manually, automatically at time intervals or by motion sensor. For recognition of moves while using motion sensor was developed a library called Motion Recognizer. The application uses HealthKit framework. The application also offers an opportunity of planning a sport activity by using Trainer objects. It uses Core Data framework while working with data and it backs up the data on iCloud.
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Balloon Pilot Assistant for iPhone
Fabián, Ondřej ; Beran, Vítězslav (referee) ; Herout, Adam (advisor)
This thesis concerns the development of a mobile application for the Apple iPhone plat- form for hot-air balloon pilots. The main functionality is to create up-to-date map of wind strength and direction for each flight level and navigation tools. Accompanying functions include pilot logbook management, flight recording and recall. A crucial aspect of this appli- cation is the GUI design, which meets the conditions in which the application will be used. The application will also be evaluated in test conditions during an actual balloon flight.
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Training Manager for iOS
Kondek, Ondrej ; Smrčka, Aleš (referee) ; Hrubý, Martin (advisor)
This bachelor thesis describes a draft and the implementation of an iOS application. The application is meant to work as a tracking tool of user's physical activities with emphasis on simple data input using extensions such as voice assistent Siri, widget and context menu. The user can create records of their activities, show their own statistics but they are also able to share data between other users of the application. The thesis describes existing tools for iOS development, analysis of competitive applications, draft and implementation of the application and in the end its testing.
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Player for iPhone for Educational Purposes
Klobása, Jiří ; Polok, Lukáš (referee) ; Beran, Vítězslav (advisor)
This thesis deals with the design and implementation of mobile application for iPhone that serves as a music player. The application works with meta-information to a music song and suggests their use in the process of memorization. The thesis is divided into chapters, starting with the characteristics of the target platform iOS, user interface design and its testing, principles of creating computer music and sound. The core of this thesis is to design a user interface along with the structure and use of meta-information related to a song. At the end of the thesis there is described the implementation of the application, the tests performed and possibilities for further improvements of the application.
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Augmented Reality for iPhone
Bednář, David ; Herout, Adam (referee) ; Beran, Vítězslav (advisor)
This Bachelor's Thesis was performed during a study stay at the "Technische Universität Graz", Austria. This Thesis talks about handheld augmented reality, especially for the iPhone. In theoretical part of the Thesis, we discuss available frameworks and description of the platform itself and its application development. The practical part describes development of a demonstrational AR application, which uses popular OpenCV computer vision library for processing the image captured by iPhone's camera. The application also permits to overlay visual information above the camera preview (with and without the use of private APIs) and also permits to align OpenGL camera to the position of the iPhone's camera in the real world.
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An Application for Tracking of Alcohol in Blood
Nácar, Arthur ; Zbořil, František (referee) ; Hrubý, Martin (advisor)
The aim of this thesis was to create mobile applications for iOS devices and a smartwatches with WatchOS that allows the user to monitor blood alcohol content over time. The application is implemented in Swift language and it uses Apple HealthKit framework to access the user's personal data. Predictions of blood ethanol content are calculated using a simulation model that takes into account the resorption phase of ethanol and uses the extended Widmark method to estimate the course of the elimination phase. The result of this work is an application that provides the user with information about the time needed to get a sober and detailed overview of the course of blood alcohol concentration using several available metrics.
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