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BMCBI
2010
229views more  BMCBI 2010»
14 years 9 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
INFOCOM
2009
IEEE
15 years 4 months ago
Trap Coverage: Allowing Coverage Holes of Bounded Diameter in Wireless Sensor Networks
—Tracking of movements such as that of people, animals, vehicles, or of phenomena such as fire, can be achieved by deploying a wireless sensor network. So far only prototype sys...
Paul Balister, Zizhan Zheng, Santosh Kumar, Prasun...
EWSN
2004
Springer
15 years 9 months ago
Context-Aware Sensors
Wireless sensor networks typically consist of a large number of sensor nodes embedded in a physical space. Such sensors are low-power devices that are primarily used for monitoring...
Eiman Elnahrawy, Badri Nath
SIGMETRICS
2004
ACM
115views Hardware» more  SIGMETRICS 2004»
15 years 3 months ago
Emulating low-priority transport at the application layer: a background transfer service
Low priority data transfer across the wide area is useful in several contexts, for example for the dissemination of large files such as OS updates, content distribution or prefet...
Peter B. Key, Laurent Massoulié, Bing Wang
IEEECIT
2010
IEEE
14 years 8 months ago
Tessellating Cell Shapes for Geographical Clustering
This paper investigates the energy-saving organization of sensor nodes in large wireless sensor networks. Due to a random deployment used in many application scenarios, much more n...
Jakob Salzmann, Ralf Behnke, Dirk Timmermann