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University of Cambridge > Talks.cam > Computer Laboratory Digital Technology Group (DTG) Meetings > (Research) Device Analyzer: Uncovering mobile usage patterns / (Research) Energy Model for Modern Smartphone GPS Sensor
(Research) Device Analyzer: Uncovering mobile usage patterns / (Research) Energy Model for Modern Smartphone GPS SensorAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Andrew Rice. Device Analyzer: Uncovering mobile usage patterns, Daniel Wagner Device Analyzer is a data-collection application for Android mobile devices. The application runs in the background and collects data from a multitude of sources, giving a snapshot of phone usage as well as contextual information when available. The system combines event-driven logging of events with polling for continuously changing variables such as CPU load and memory use. The system is currently being tested by a few members of the DTG and should be circulated on the CL-Android mailing list for a closed beta shortly. In this talk I will give an overview of the types of data collected, present some of the employed techniques and share some of the lessons I learned in the process. Energy Model for Modern Smartphone GPS Sensor, Mattias Linnap GPS is one of the most useful, but also the most energy consuming sensor on modern phones. Unlike other sensors, its behaviour is highly non-linear. I will present the results of an experiment to build a detailed energy model for GPS , and explain the behaviour with a short introduction on how the entire GPS system works. This talk is part of the Computer Laboratory Digital Technology Group (DTG) Meetings series. This talk is included in these lists:
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