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Oliver Gohlke [05-2014]:

Datenqualitätssicherung und Datenaggregationsverfahren in Participatory Sensing Anwendungen

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With participatory sensing applications humans participate in mobile sensor networks by using their smartphone or tablets with the integrated sensors. For the evaluation and further use of this data a consideration of data quality and data aggregation is useful. Especially spatial data is collected by voluntary people, who are non-experts, the quality of data plays a major role for further use. Also, the data aggregation does mean an aspect of data quality. For this reason Participatory Sensing applications are examined with regard to procedures for securing and testing the quality of data as well as to examined the use of data aggregation process. In the master thesis first the basic research topics are described in their surrounding to participatory sensing applications. These themes range from the Web 2.0, GIS 2.0, Neogeography, Volunteered Geographic Information and human as sensors. The basis for further analysis of the master thesis is a classification of Participatory Sensing applications and a division into phases of the project. Subsequently, methods and techniques for quality improvement and auditing are set up and data aggregation processes are described. The methods are evaluated with three different Participatory Sensing applications. For the evaluation of a practical example a prototype was developed and implemented. With this prototype, some of the presented quality techniques have been implemented and a simple data aggregation process is shown. As a result of this master thesis a set of procedures for quality assurance and quality control in Participatory Sensing applications is given and a description of how data aggregation is used within Participatory Sensing applications.


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