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» Adaptive sampling for sensor networks
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IROS
2006
IEEE
129views Robotics» more  IROS 2006»
14 years 1 months ago
Acquisition of Multi-Modal Expression of Slip through Pick-Up Experiences
— To realize adaptive and robust manipulation, a robot should have several sensing modalities and coordinate their outputs to achieve the given task based on underlying constrain...
Yasunori Tada, Koh Hosoda

Publication
209views
13 years 5 months ago
Adaptive beamforming method based on constrained LMS algorithm for tracking mobile user
In this paper, Constrained Least Mean Square (CLMS) algorithm for narrowband adaptive beamforming for tracking mobile user in a 2D urban environment has been used. This algorithm i...
Peyman Rahmati
CN
2007
168views more  CN 2007»
13 years 8 months ago
Network anomaly detection with incomplete audit data
With the ever increasing deployment and usage of gigabit networks, traditional network anomaly detection based Intrusion Detection Systems (IDS) have not scaled accordingly. Most,...
Animesh Patcha, Jung-Min Park
UBIMOB
2009
ACM
225views Management» more  UBIMOB 2009»
14 years 17 days ago
Historical data storage for large scale sensor networks
Wireless sensor networks are rapidly finding their way through a plethora of new applications like precision farming and forestry, with increasing network scale, system complexit...
Loïc Petit, Abdelhamid Nafaa, Raja Jurdak
SENSYS
2004
ACM
14 years 1 months ago
Synopsis diffusion for robust aggregation in sensor networks
Previous approaches for computing duplicate-sensitive aggregates in sensor networks (e.g., in TAG) have used a tree topology, in order to conserve energy and to avoid double-count...
Suman Nath, Phillip B. Gibbons, Srinivasan Seshan,...