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» Sensor Networks for Everyday Use: The BL-Live Experience
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MOBISYS
2010
ACM
13 years 10 months ago
MoVi: mobile phone based video highlights via collaborative sensing
Sensor networks have been conventionally defined as a network of sensor motes that collaboratively detect events and report them to a remote monitoring station. This paper makes a...
Xuan Bao, Romit Roy Choudhury
TIP
2008
126views more  TIP 2008»
13 years 8 months ago
Maximum-Entropy Expectation-Maximization Algorithm for Image Reconstruction and Sensor Field Estimation
Abstract--In this paper, we propose a maximum-entropy expectation-maximization (MEEM) algorithm. We use the proposed algorithm for density estimation. The maximum-entropy constrain...
Hunsop Hong, Dan Schonfeld
SENSYS
2010
ACM
13 years 6 months ago
Cooperative transit tracking using smart-phones
Real-time transit tracking is gaining popularity as a means for transit agencies to improve the rider experience. However, many transit agencies lack either the funding or initiat...
Arvind Thiagarajan, James Biagioni, Tomas Gerlich,...
EWSN
2007
Springer
14 years 8 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
IS
2011
13 years 5 days ago
Collection trees for event-monitoring queries
In this paper we present algorithms for building and maintaining efficient collection trees that provide the conduit to disseminate data required for processing monitoring queries...
Antonios Deligiannakis, Yannis Kotidis, Vassilis S...