The Sensafety research project intends to give citizens the opportunity to rate the current safety situation at their location and to explore what others feel in their surroundings. The ratings of all citizens are collected, aggregated and the statistical results being presented in various forms within the Sensafety App.
Sensafety's map of the perceived sense of safety enables citizens around the globe to compare their personal feeling of safety with the ones perceived by the people in their vicinity. Moreover, visitors can find out how the safety situation is currently assessed at places they are about to visit.
Sensafety was developed, tested and evaluated as part of a student project at the chair of Service-centric Networking at the Technische Universität of Berlin. All the personal data collected by Sensafety are solely used for non-commercial research purposes and remain in sole possession of the Technische Universität Berlin.
To learn more about the project visit www.sensafety.org or download the App on:
CATLES supports application developers with the possibility to interactively test, evaluate and demonstrate context-aware mobile applications within the lab. In the past, testing, evaluating or even demonstrating context-aware mobile applications within the lab was difficult or even impossible due to the lack of valid location-specific context. This is were CATLES comes into the game. CATLES simulates the context a mobile application would sense at a particular location on earth without the need to leave the lab.
A public available web service for the computation of the Geofence Index performance estimator for proactive location-based services. The Geofence Index is intended to increase the reliability of Geofencing systems by making the reliability quantifiable and predictable. Given a geofence under investigation and the particular technical properties of an exemplary proactive location-based service, it determines the probability that a location-dependent action will be executed in case a user crosses the given geofence.
A subproject of Curcuma is the Open Cloud Computing Map (OCCMap) which provides the basis for the (visual and non-visual) server location information of different cloud computing providers and interlinks to sources regarding data protection laws and other linked-data information. The data provided by the OCCMap will be offered in a structured semantic manner to be included in other open and linked data initiatives.