NAWMS: Nonintrusive autonomous water monitoring system

SenSys'08 - Proceedings of the 6th ACM Conference on Embedded Networked Sensor Systems

Volumn , Issue , 2008, Pages 309-321

  Kim, Younghun ^a   Schmid, Thomas ^a   Charbiwala, Zainul M ^a   Friedman, Jonathan ^a   Srivastava, Mani B ^a  

^a University of California   (United States)

Author keywords

adaptive sensor calibration; machine learning; nonintrusive and spatially distributed sensing; parameter estimation via optimization; tiered information architecture; water flow rate estimation

Indexed keywords

ADAPTIVE SENSORS; AUTO CALIBRATION; COMMODITY HARDWARE; DISTRIBUTED SENSING; GEOMETRIC PROGRAMMING; GROWING DEMAND; HOUSEHOLD WATER; INFORMATION ARCHITECTURES; LONG TERM STABILITY; LOW-COST SENSORS; MATERIAL VARIABILITY; MEAN ABSOLUTE ERROR; NON-INTRUSIVE; REAL-TIME INFORMATION; SELF-CALIBRATING; SHOW THROUGH; SPATIAL GRANULARITY; SYSTEM USE; TWO-PHASE LINEAR PROGRAMMING; VIBRATION SENSORS; WATER FLOW RATE; WATER FLOWS; WATER MONITORING SYSTEMS; WATER PIPES; WATER USAGE; WIRELESS VIBRATION SENSORS;

ADAPTIVE SYSTEMS; CALIBRATION; EMBEDDED SYSTEMS; ESTIMATION; FLOW OF WATER; HYDRAULICS; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; PARAMETER ESTIMATION; WATER CONSERVATION; WATER PIPELINES; WATER SUPPLY;

SENSORS;

EID: 84866483675     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1460412.1460443     Document Type: Conference Paper

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