Computer-Communication Networks / Special Purpose And Application-Based Systems / Mag / CrossBow Inc. / Wireless Sensor Networks / Honeywell / Extreme Scaling WSN / /
Country
United States / /
Currency
VND / USD / / /
Event
Product Issues / /
Facility
University of Illinois / Ohio State University / University of Virginia / Carnegie Mellon University / /
IndustryTerm
surveillance sensor network / energy-and-cost-effective sensor nodes / in-network data processing schemes / energy detector / car passing / hierarchical processing / resilient detection algorithm / energy aware context / style processing / instantaneous acoustic energy / surveillance networks / choices are different in these systems / human speaking passing car / energy / offline-style processing / collaborative signal processing / acoustic processing / communication device / similar processor / energy consumption / sensor networks / energy-andcost-effective hardware / in-place solution / surveillance systems / motion sensing algorithms / node-level sensing algorithm / higher-level signal processing algorithms / classification solutions / real-world technology / motion sensing algorithm / middleware services / energy budget / energy efficiency / semi-offline algorithm / quality signal processing / car moves / higher-level algorithms / collaborative signal processing framework / magnetic algorithm / false positives waste energy / sensor network / energy-and-cost-effective systems / acoustic signal processing / acoustic energy / sensor network hardware / energy-and-cost-effective device / distributed group management / micro-processor / car moving / acoustic algorithm / latency-sensitive surveillance systems / car increases / signal processing mathematics / low-end hardware / considerable energy variation / signal processing / external device / magnetic sensing algorithm / computation/energy resources / acoustic sensing algorithm / classification systems / digital signal processing co-processors / base-level algorithms / classification algorithms / surveillance network / base-level classification algorithm / signal processing algorithms / 4MHz processor / energy-and-cost-effective embedded systems / reasonable energy cost / least square algorithm / /
NaturalFeature
Great Duck Island / /
Organization
University of Virginia / Ohio State University / Carnegie Mellon University / National Science Foundation / University of Illinois / Department of Computer Science / Computer System Organization / /
Person
Et / /
Position
αmp / statically assigned group leader / suitable αmp / system designer / Qing Cao / group leader / parameter αmp / ABSTRACT General / representative / sensitivity and resilience The parameters αmp / classification Group Group Group leader / sensor driver / /
Lightweight Detection and Classification for Wireless Sensor Networks in Realistic Environments Lin Gu 1 Dong Jia 2 Pascal Vicaire 1 Ting Yan 1 Liqian Luo 1 Ajay Tirumala 3 Qing Cao 1 Tian He 1