Anticipatory mobile computing: A survey of the state of the art and research challenges
V Pejovic, M Musolesi - ACM Computing Surveys (CSUR), 2015 - dl.acm.org
Today's mobile phones are far from the mere communication devices they were 10 years
ago. Equipped with sophisticated sensors and advanced computing hardware, phones can …
ago. Equipped with sophisticated sensors and advanced computing hardware, phones can …
A survey of techniques for architecting and managing asymmetric multicore processors
S Mittal - ACM Computing Surveys (CSUR), 2016 - dl.acm.org
To meet the needs of a diverse range of workloads, asymmetric multicore processors
(AMPs) have been proposed, which feature cores of different microarchitecture or ISAs …
(AMPs) have been proposed, which feature cores of different microarchitecture or ISAs …
Open data kit 2.0: expanding and refining information services for developing regions
W Brunette, M Sundt, N Dell, R Chaudhri… - Proceedings of the 14th …, 2013 - dl.acm.org
Open Data Kit (ODK) is an open-source, modular toolkit that enables organizations to build
application-specific information services for use in resource-constrained environments. ODK …
application-specific information services for use in resource-constrained environments. ODK …
Draining our glass: An energy and heat characterization of google glass
The Google Glass is a mobile device designed to be worn as eyeglasses. This form factor
enables new use cases, such as hands-free video chat and web search. However, its shape …
enables new use cases, such as hands-free video chat and web search. However, its shape …
{eDoctor}: Automatically Diagnosing Abnormal Battery Drain Issues on Smartphones
The past few years have witnessed an evolutionary change in the smartphone ecosystem.
Smartphones have gone from closed platforms containing only pre-installed applications to …
Smartphones have gone from closed platforms containing only pre-installed applications to …
LEO: Scheduling sensor inference algorithms across heterogeneous mobile processors and network resources
P Georgiev, ND Lane, KK Rachuri… - Proceedings of the 22nd …, 2016 - dl.acm.org
Mobile apps that use sensors to monitor user behavior often employ resource heavy
inference algorithms that make computational offloading a common practice. However …
inference algorithms that make computational offloading a common practice. However …
mCerebrum: a mobile sensing software platform for development and validation of digital biomarkers and interventions
The development and validation studies of new multisensory biomarkers and sensor-
triggered interventions requires collecting raw sensor data with associated labels in the …
triggered interventions requires collecting raw sensor data with associated labels in the …
Guaranteeing local differential privacy on ultra-low-power systems
Sensors in mobile devices and IoT systems increasingly generate data that may contain
private information of individuals. Generally, users of such systems are willing to share their …
private information of individuals. Generally, users of such systems are willing to share their …
The latency, accuracy, and battery (lab) abstraction: programmer productivity and energy efficiency for continuous mobile context sensing
Emerging mobile applications that sense context are poised to delight and entertain us with
timely news and events, health tracking, and social connections. Unfortunately, sensing …
timely news and events, health tracking, and social connections. Unfortunately, sensing …
Open data kit sensors: a sensor integration framework for android at the application-level
W Brunette, R Sodt, R Chaudhri, M Goel… - Proceedings of the 10th …, 2012 - dl.acm.org
Smartphones can now connect to a variety of external sensors over wired and wireless
channels. However, ensuring proper device interaction can be burdensome, especially …
channels. However, ensuring proper device interaction can be burdensome, especially …