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» Sensor Fusion and Complex Data Analysis for Predictive Maint...
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EWSN
2007
Springer
14 years 5 months ago
Removing Systematic Error in Node Localisation Using Scalable Data Fusion
Methods for node localisation in sensor networks usually rely upon the measurement of received strength, time-of-arrival, and/or angle-of-arrival of an incoming signal. In this pap...
Albert Krohn, Mike Hazas, Michael Beigl
DCOSS
2005
Springer
13 years 11 months ago
Routing Explicit Side Information for Data Compression in Wireless Sensor Networks
Abstract. Two difficulties in designing data-centric routes [2–5] in wireless sensor networks are the lack of reasonably practical data aggregation models and the high computatio...
Huiyu Luo, Gregory J. Pottie
ICSM
2008
IEEE
13 years 12 months ago
Supporting software evolution analysis with historical dependencies and defect information
More than 90% of the cost of software is due to maintenance and evolution. Understanding the evolution of large software systems is a complex problem, which requires the use of va...
Marco D'Ambros
ISMAR
2006
IEEE
13 years 11 months ago
Spatial relationship patterns: elements of reusable tracking and calibration systems
With tracking setups becoming increasingly complex, it gets more difficult to find suitable algorithms for tracking, calibration and sensor fusion. A large number of solutions e...
Daniel Pustka, Martin Huber, Manuel Bauer, Gudrun ...
ICWN
2008
13 years 7 months ago
Progressive Content-Sensitive Data Retrieval in Sensor Networks
: Problem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data)...
Bo Yang, Mareboyana Manohar, Shaoying Kou