Although the construction of the TALAKO prototype system has not yet been completed, the tests for vehicle positioning are already in full swing. For the tests, researchers from NES have trained an artificial neural network to recognize various features of a vehicle. In addition to the wheels, the features also […]
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In a multidisciplinary consortium of social, economic and engineering sciences, researchers from the three UA Ruhr universities are investigating the question of how the sustainability of mobility in the Ruhr area can be improved. Funded by the Ministry of Transport of NRW, the project will develop a concept for integrated […]
A goal of the FAIR project is to improve the data basis of the Deutsche Wetterdienst (DWD). In this context, researchers from NES are investigating the suitability of modern cell phones for the automated acquisition of temperature data at a large scale. As a basis for this investigation, researches from […]
A goal of the FAIR project is to improve the data basis of the Deutsche Wetterdienst (DWD). In this context, researchers from NES are investigating the suitability of simple IoT devices for the automated acquisition of temperature data at a large scale. As a basis for the investigation, a construction […]
A goal of the FAIR project is to improve the data basis of the Deutsche Wetterdienst (DWD). In this context, researchers from NES are investigating the suitability of stationary and mobile devices for the automated acquisition of temperature data at a large scale. The technical basis for the processing of […]
The NES Group is looking for 1 Research Assistant – PhD Students starting May 4th 2020. We offer a three years full time contract with interesting and challenging tasks for scientific research in areas of Sensor Networks, Pervasive Computing, Embedded Systems and Robotics. In addition we offer the collaboration in […]
FAIR: A user-friendly provisioning of climate and weather data Weather and climate information are the basis of planning and decisions, both in the private and in the public sector. Depending on the application, climate time series (retrospective) or forecasts (prognostic) are required. In the future, a further increase in interest […]
SMATA: Smart platform for the data-driven networking of taxi and charging operations Taxi vehicles are particularly suitable for electrification due to their potentially long waiting periods at taxi stops. During their waiting time, electric taxis can be optimally charged. Currently, however, taxi drivers are not sufficiently aware of the availability […]
TALAKO: Inductive taxi charging concept for public spaces Taxi vehicles are particularly suitable for electrification due to their potentially long waiting periods at taxi stops. However, existing charging solutions for electric vehicles require taxi drivers to manually initiate and stop the charging process by connecting and disconnecting a charging cable to […]
The result of the master-level project on Location-based Services that took place during the winter term 2017/18 is now available for general use. In the project, students developed a location-based service that allows users to share their location with their friends and to analyze their location history. For more information […]