keywords={eemss, energy efficiency, human state recognition, mobile sensing},
}
...
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@@ -189,8 +189,8 @@ title="Optimizing Mobile Application Performance with Model--Driven Engineering"
booktitle="Software Technologies for Embedded and Ubiquitous Systems",
year="2009",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="36--46",
removed_address="Berlin, Heidelberg",
removed_pages="36--46",
abstract="Future embedded and ubiquitous computing systems will operate continuously on mobile devices, such as smartphones, with limited processing capabilities, memory, and power. A critical aspect of developing future applications for mobile devices will be ensuring that the application provides sufficient performance while maximizing battery life. Determining how a software architecture will affect power consumption is hard because the impact of software design on power consumption is not well understood. Typically, the power consumption of a mobile software architecture can only be determined after the architecture is implemented, which is late in the development cycle when design changes are costly.",
isbn="978-3-642-10265-3"
}
...
...
@@ -211,7 +211,7 @@ title={EnLoc: Energy-Efficient Localization for Mobile Phones},