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National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Context-Aware Notification Filter for Android
 Jaklovský, Samuel ; Špaňhel, Jakub (referee) ; Szentandrási, István (advisor)
The goal of this thesis is to develop an application for devices running Android which will determine user profile, based on obtained context, and apply user pre-defined sound settings for this profile. The thesis contains a description of common theory and design of user interface which was implemented as fully operational application. The application uses Naive Bayes classifier and Decision tree for determining the user profile. The functionality of the application was successfully tested by twenty users. The average ratings in the questionnaires were about eight and a half points from a possible maximum of ten. These results can be considered successful.
Detailed record
Context Aware Android Application Trace Analysis
 Kacz, Kristián ; Pop, Tomáš (advisor) ; Parízek, Pavel (referee)
The thesis examines how current mobile operating systems support context-aware applications and investigates the methods of mobile application debugging. The thesis points out what kind of problems need to be solved during debugging of context-aware applications. The primary goal of the thesis is to propose a debugging method which takes context information into account and to implement this method. The thesis contains a real world use case to demonstrate the proposed method.
Detailed record
Context-Aware Notification Filter for Android
 Jaklovský, Samuel ; Špaňhel, Jakub (referee) ; Szentandrási, István (advisor)
The goal of this thesis is to develop an application for devices running Android which will determine user profile, based on obtained context, and apply user pre-defined sound settings for this profile. The thesis contains a description of common theory and design of user interface which was implemented as fully operational application. The application uses Naive Bayes classifier and Decision tree for determining the user profile. The functionality of the application was successfully tested by twenty users. The average ratings in the questionnaires were about eight and a half points from a possible maximum of ten. These results can be considered successful.
Detailed record

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