Auflistung nach Autor:in "Kroll, Dennis"
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- KonferenzbeitragEnergy saving by context aware heating(INFORMATIK 2013 – Informatik angepasst an Mensch, Organisation und Umwelt, 2013) Kroll, Dennis; Kusber, Rico; David, Klaus; Schumacher, Patrick; Yu, Young JaeA significant part of the overall energy consumption of office buildings and households in Europe is consumed for heating. Today's standard is that heaters are controlled by thermostats so that the desired temperatures are maintained for set periods. We now present ConAH (Context Aware Heating) that controls heaters so that heating periods are minimized while keeping the comfort of the occupants. ConAH utilizes information about future presences of occupants in the rooms, called location context of the occupants. To minimize the heating periods and save energy, heaters are switched on just sufficiently before and during usage times of the room and are switched off in all other cases. To calculate the moments to switch heaters on (heat up) or off (cool down), ConAH needs: 1. the future occupancies of the room. Future room occupancies are obtained via the prediction of the occupant's context, here in terms of location. 2. the time that the room needs to heat up or to cool down between two reference temperatures. This is called the room's heating and cooling profile and is determined by experiments in a real meeting room, as well as by simulations. We present the potential energy savings of ConAH compared to a standard controller with a thermostat and explain the effects that are responsible for these results.
- TextdokumentMeasuring the Capability of Smartphones for Executing Context Algorithms(INFORMATIK 2017, 2017) Kroll, Dennis; David, KlausWhile the rise of context aware apps remains, the question arises whether algorithms for context processing can be applied to any smartphone and for any user. In this paper, we propose to test context algorithms for each specific smartphone, user, and situation to which a context algorithm is applied. Towards this, we present our framework which automatically measures all relevant information about an app´s runtime properties, i.e. resource utilization and the time taken to process sensor values by a context algorithm. Both information can be automatically returned to the app developers in order to improve the app. We implemented the framework on Android and tested it using the example of a state-of-the-art context algorithm to find out whether our test smartphone is capable of running the context algorithm without delays and deadlocks.