Zobrazeno 1 - 10
of 244
pro vyhledávání: '"Hojung Cha"'
Publikováno v:
Sensors, Vol 9, Iss 12, Pp 9925-9944 (2009)
Research on acoustic source localization is actively being conducted to enhance accuracy and coverage. However, the performance is inherently limited due to the use of expensive sensor nodes and inefficient communication methods. This paper proposes
Externí odkaz:
https://doaj.org/article/5aae88e8f5da4e98a0a13103c7aad140
Publikováno v:
Sensors, Vol 9, Iss 10, Pp 7970-7987 (2009)
Wireless sensor networks equipped with various gas sensors have been actively used for air quality monitoring. Previous studies have typically explored system issues that include middleware or networking performance, but most research has barely cons
Externí odkaz:
https://doaj.org/article/d58079eb05d44a9f95d0b4b1701ddd38
Publikováno v:
IEEE Internet of Things Journal. 10:9928-9941
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:4181-4192
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:3850-3861
Publikováno v:
IEEE Transactions on Mobile Computing. 21:3744-3756
Games are energy-intensive applications on mobile devices. Optimizing the energy efficiency of games is hence critical for battery-limited mobile devices. Although the advent of energy-aware scheduling (EAS) integrated in recent devices has provided
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41:225-237
Publikováno v:
Proceedings of the 59th ACM/IEEE Design Automation Conference.
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 5:1-27
Light energy harvesting is a valuable technique for batteryless sensors located indoors. A key challenge is finding the right locations to deploy sensors to provide sufficient harvesting capability. A trial-and-error approach or energy prediction met
Publikováno v:
Design Automation for Embedded Systems. 25:65-85
Mobile device users tend to extend the device’s usage time by checking the battery level frequently via the battery level indicator (BLI) and adjusting their device usage patterns. This behavior is based on the assumption that the BLI is accurate.