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» Sensor Fusion and Complex Data Analysis for Predictive Maint...
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EWSN
2007
Springer
14 years 7 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
14 years 1 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
14 years 2 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
14 years 1 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 9 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