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ICDCS
2008
IEEE
14 years 3 months ago
Mobile Filtering for Error-Bounded Data Collection in Sensor Networks
In wireless sensor networks, filters, which suppress data update reports within predefined error bounds, effectively reduce the traffic volume for continuous data collection. A...
Dan Wang, Jianliang Xu, Jiangchuan Liu, Feng Wang
AAAI
2006
13 years 10 months ago
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis
A Machine Learning (ML) System known as ROAMS (Ranker for Open-Auto Maintenance Scheduling) was developed to create failure-susceptibility rankings for almost one thousand 13.8kV-...
Philip Gross, Albert Boulanger, Marta Arias, David...
SKG
2006
IEEE
14 years 2 months ago
Ontology Enabled Learning Resource Modeling and Management
In this paper, we proposed the learning resource ontology(LRO) models to formally describe learning content and learning context, respectively. In addition to utilizing the models...
Zongkai Yang, Tao Huang, Qingtang Liu, Xia Li, Bei...
ICPADS
2005
IEEE
14 years 2 months ago
Distributed Spanning Tree Algorithms for Large Scale Traversals
— The Distributed Spanning Tree (DST) is an overlay structure designed to be scalable. It supports the growth from small scale to large scale. The DST is a tree without bottlenec...
Sylvain Dahan
IEEECIT
2010
IEEE
13 years 7 months ago
Scaling the iHMM: Parallelization versus Hadoop
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
Sebastien Bratieres, Jurgen Van Gael, Andreas Vlac...