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Bachelor Thesis

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Author

  • Aksu, Hakan (1)
  • Gauterin, Alvaro (1)
  • Neumann, Sergej (1)

Year of publication

  • 2012 (2)
  • 2011 (1)

Document Type

  • Bachelor Thesis (3) (remove)

Language

  • German (2)
  • English (1)

Keywords

  • Android <Systemplattform> (3) (remove)

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Development of an Android Application for the Recognition and Translation of Words in Camera Scenes (2012)
Neumann, Sergej
This bachelor- thesis describes the conception and implementation of a translation software for the Android platform. The specific feature of the software is the independent text recognition based on the view of the camera. This approach aims to enhance and accelerate the process of translation in certain situations. After an introduction into text recognition, the underlying technologies and the operation system Android useful applications are described. Then the concept of the software is created and the implementation examined. Finally an evaluation is conducted to identify strengths and weaknesses of the software.
Systematic study of the Android platform in the conceptual framework of the 101companies project (2012)
Aksu, Hakan
In this thesis I explore the Android platform. I demonstrate three different implementations, covering features and technology of the 101companies project and I add new Android specific features into the project. The implementations show applications that can be used in the real world.
Path tracing via comparison of received signal strength within WiFi landscapes (2011)
Gauterin, Alvaro
This bachelor thesis deals with the comparison related to the similarity of recorded WiFi patterns during the tracing of a path through the streets of a large city. Both MAC address only comparison has been investigated as well as the incorporation of RSSI values, whereby the localization accuracy has been evaluated. Methods for the detection of different types and combinations of loops in the path are demonstrated likewise the attempt to estimate the degree of urban development in the environment of the user by assessing the received signal strength and signal-to-noise ratio of GPS satellites and GSM cell towers. In order to observe a user- proximity to a certain spot on a large public square the absorption of WiFi signals by the human body has been taken into account. Finally, the results of a comparison of the computing performance of a modern smartphone versus the alternative of remote calculation on a server including data transmission via cellular data network are presented.
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