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» Sensor Errors Prediction Using Neural Networks
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TSP
2008
149views more  TSP 2008»
13 years 8 months ago
Decentralized Quantized Kalman Filtering With Scalable Communication Cost
Estimation and tracking of generally nonstationary Markov processes is of paramount importance for applications such as localization and navigation. In this context, ad hoc wireles...
Eric J. Msechu, Stergios I. Roumeliotis, Alejandro...
SENSYS
2010
ACM
13 years 6 months ago
Surviving wi-fi interference in low power ZigBee networks
Frequency overlap across wireless networks with different radio technologies can cause severe interference and reduce communication reliability. The circumstances are particularly...
Chieh-Jan Mike Liang, Bodhi Priyantha, Jie Liu, An...
IJCV
1998
105views more  IJCV 1998»
13 years 8 months ago
Robust Algorithms for Object Localization
Object localization using sensed data features and corresponding model features is a fundamental problem in machine vision. We reformulate object localization as a least squares p...
Aaron S. Wallack, Dinesh Manocha
RTSS
2009
IEEE
14 years 3 months ago
Multi-Channel Interference Measurement and Modeling in Low-Power Wireless Networks
Abstract—Multi-channel design has received significant attention for low-power wireless networks (LWNs), such as 802.15.4-based wireless sensor networks, due to its potential of...
Guoliang Xing, Mo Sha, Jun Huang, Gang Zhou, Xiaor...
MOBICOM
2010
ACM
13 years 8 months ago
Inferring and mitigating a link's hindering transmissions in managed 802.11 wireless networks
In 802.11 managed wireless networks, the manager can address under-served links by rate-limiting the conflicting nodes. In order to determine to what extent each conflicting node ...
Eugenio Magistretti, Omer Gurewitz, Edward W. Knig...