|
| |
|
|
Controlling Mobile App by Voice
Cologna, Adam ; Szőke, Igor (referee) ; Herout, Adam (advisor)
The aim of this bachelor's thesis is to explore, analyze, and compare available libraries for controlling mobile applications with voice commands. According to the thesis requirements, I solved the problem primarily for the Android operating system. I have considered not only libraries for keyword detection but also those using the speech recognition technology. For the selected libraries, I conducted accuracy testing for voice command detection and performance testing. To facilitate the integration of the chosen libraries, an application was developed in the modern programming language Kotlin using Jetpack Compose. The main contribution of this work is the experiments carried out and the resulting recommendations regarding the examined libraries. Among the most effective solutions were those from Microsoft Azure and the Android Speech Recognizer class. The main obstacles for each library were the distance between the speaker and the microphone, as well as distracting background music.
|
|
|
Mobile App for Reading Sensor Data
Homola, Jan ; Neuwirth, Bernard (referee) ; Dydowicz, Petr (advisor)
The bachelor thesis focuses on the design and implementation of an application for reading sensor data. The thesis includes an analysis of the current state in the field of sensors, mobile applications and software tools. The practical part includes the design of a complete application including database schema, user interface designs and graphical elements of the application. Finally, the design and implementation costs are evaluated.
|
|
|
The use of federated learning in the field of security on Android OS
Szüč, Martin ; Myška, Vojtěch (referee) ; Michálek, Jakub (advisor)
This thesis explores the use of federated learning in the context of cybersecurity, specifically in detecting phishing attacks via email on the Android operating system. The~theoretical part of the thesis deals with concepts of federated learning, machine learning, and various phishing techniques. The main goal of the practical part is to design and implement a mobile application that uses federated learning to train machine learning models. This application is designed to detect phishing emails while ensuring that the content of the emails is not sent to a central server, thereby protecting users' sensitive data. The~thesis includes the design of the application architecture, integration of Python modules, processing and classification of emails, and implementation of federated learning. The results of the application testing demonstrate the effectiveness of the proposed solution in detecting phishing attacks while also highlighting the privacy benefits provided by federated learning.
|
|
|
Application for automated rating of the media being played
Volf, Vojtěch ; Heriban, Pavel (referee) ; Roupec, Jan (advisor)
This thesis describes the development of the MelodyMetrics Android application, which aims to evaluate user's media listening habits based on critical rating downloaded from the web. The app is developed in Kotlin using Jetpack Compose library, it records the music played on user's device, downloads its rating from the web and provides statistics on the quality of their music selection. The work provides a comprehensive overview of the modern Android development process and describes the technologies used. The source code and installation package are published on GitHub.
|
|
|
Mobile Application for Recommending and Managing Cooking Recipes
Lončík, Andrej ; Šůstek, Martin (referee) ; Zbořil, František (advisor)
The goal of the submitted thesis is the creation of mobile application for devices using the Android operation system. The main purpose of the application is the discovery and administration of food recipes and meal planning. The functions of the application include voice control and search by a photo or an image. This work describes the whole process of app -creation, beginning from the original idea, followed by the competition analysis, draft of the user interface, its implementation and concluding with the testing and final publication to the Google Play. In addition, the final version of the application offers the feature of creating new recipes or searching for already published ones on the internet based on the ingredients the user possesses. The ingredients can be written in, entered by the user's voice, or recognized from an uploaded image. The photo and image recognition is provided by the Firebase ML Kit Image Labeling tool. Thanks to the Google account authentization , the application is also able to save the user's content in Firebase Realtime Database. Mobile application is published on the Google Play store and is officially named Recipio .
|
|
|
Mobile App for Notifying about Reaching a Location
Ungrová, Klára ; Szőke, Igor (referee) ; Herout, Adam (advisor)
The aim of this bachelor thesis is to create a simple Android application which will be able to send notifications when entering or exiting a zone of user's interest and will overall ease the process of informing other people. Detection of entering/exiting zone is based on the principles of geofencing. SQLite database is used to save user's zones of interest (and details about them) persistently. When crossing the boundaries of a zone of interest, a user receives a notification - by clicking on it a user has the opportunity to send the message to other person. The message to be sent can be preset for every zone (both for entering and exiting). It is possible to activate/deactivate the monitoring of any zone any time. A user can display zones on the map. There is a possibility to send a trial explanatory notification for user to better understand its functionality. The foreground service which takes care of retrieving up-to-date location is running even if the app is swiped away from running applications. To kill the application, the switch off button in the app needs to be pressed. The main focus of this work is design, implementation and testing of the mobile application. The final version has been published to Google Play store.
|
|
|
Anonymous certificates for user authentication
Hlinka, Jan ; Malina, Lukáš (referee) ; Dzurenda, Petr (advisor)
Topic of this thesis is privacy protection when using anonymous certificate authentication. Today’s most common case of oversharing private data is proving Covid vaccination or Covid test results. This thesis describes and implements system that is using anonymous certficates. The system solves mentioned issues of current CovidPass authentication methods. The implementation is done on the Android platform in case of the user application and verifier application is run on Raspberry PI, which works as an access terminal.
|
|
|
Client-server search engine for optimal public transport routes
Brát, Daniel ; Hošek, Jiří (referee) ; Myška, Vojtěch (advisor)
This bachelor thesis deals with the design and implementation of a client-server based program for finding the optimal path in public transport networks. Theoretical basics describe the Traveling salesman problem and mention some methods for finding its solution. This chapter is followed by a theoretical design of the application itself. Next chapter describes chosen technologies to be used. The last chapter describes the realization of the application itself. Reached goals are described in the conclusion.
|
|
|
Rendering on "Looking Glass"
Kotáb, Dominik ; Milet, Tomáš (referee) ; Zemčík, Pavel (advisor)
This bachelor's thesis focuses on rendering real objects from real world on stereo display called "Looking Glass", a device from the company Looking Glass Factory Inc., whose main advantage is three-dimensional rendering. The working roots are designing and implementing a mobile application that, with the help of a user, creates a format, which can then be projected on the display. The first part of the thesis presents the basics of 3D rendering, on which the functionality of the device is based. The second part of the thesis covers the design of a mobile application for the Android operating system, which is based on the official documentation of this stereo display. The completed mobile app captures a recording of the viewed object, which can then be cropped, stabilized, and converted to the format required by the Looking Glass. The created format is correctly displayed and creates a three dimensional illusion.
|
guest ::
