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What can users do if they need their device to last for a specific duration in order to perform a specific task?

To this extent, we developed Battery Extender, a user-guided power management tool that enables the reconfiguration of the device’s resources based on the workload requirement, similar to the principle of creating virtual machines in the cloud.

We evaluate their performance using an experiment in which 10 individuals play 6 team sports and show that these activities are emergent in nature through natural processes.

Centralized recognition performs very well, upwards of an F-score of 0.95 for large window sizes.

In this paper, we explore new opportunities for ubicomp technology to promote a new meme of casual and cheerful interpersonal touch such as high-fives towards facilitating vibrant workplace culture.

Through field experiments using Android smartphones, we show that our system can recognize the current situation with accuracy of 60-78%.Much of the literature focuses on accurately profiling the power consumption of device components or enabling application developers to develop energy-efficient applications through fine-grained power profiling.However,there is a lack of tools to enable users to extend battery life on demand.The distributed methods iteratively converge to solutions which are comparable to centralized methods.DPI-LBP also reduces energy consumption by a factor of 7 to 40, where a centralized unit or infrastructure is not required.Results from the Student Life study show a number of significant correlations between the automatic objective sensor data from smartphones and mental health and educational outcomes of the student body.

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