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» Compressing Kinetic Data from Sensor Networks
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KDD
2006
ACM
156views Data Mining» more  KDD 2006»
15 years 10 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
OTM
2004
Springer
15 years 3 months ago
Towards a Peer-to-Peer Event Broker Grid in a Hybrid Network Environment
Peer-to-peer networks and grids offer promising paradigms for developing efficient distributed systems and applications. Event-based middleware is becoming a core architectural el...
Eiko Yoneki, Jean Bacon
PERCOM
2005
ACM
15 years 9 months ago
Understanding the real behavior of Mote and 802.11 ad hoc networks: an experimental approach
IEEE 802.11 and Mote devices are today two of the most interesting wireless technologies for ad hoc and sensor networks respectively, and many efforts are currently devoted to und...
Giuseppe Anastasi, Eleonora Borgia, Marco Conti, E...
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 2 months ago
Robust stability of multi-hop control networks
Abstract— We propose formal models for analyzing robustness of multi-hop control networks, where data from sensors to controllers and from controllers to actuators is sent throug...
Gera Weiss, Alessandro D'Innocenzo, Rajeev Alur, K...
ECAI
2010
Springer
14 years 10 months ago
Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive
Abstract. Control engineering is a field of major industrial importance as it offers principles for engineering controllable physical devices, such as cell phones, television sets,...
Arjen Hommersom, Peter J. F. Lucas