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Multi-sensor integration with imperfect communication networks

29th IEEE Conference on Decision and Control, 1990
Centralized and distributed multi-sensor integration with uncertainties in the communication networks among the sensors are discussed. The uncertainties in the communication networks cause additional errors. However, the algorithms developed minimize the effects of communication network uncertainties in both the local estimation and central integration.
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Multi-sensor networked estimation in electric power grids

2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011
The performance of a continuous-discrete Kalman filter using multi-sensor observations with irregular sampling patterns is analyzed in terms of the dynamics of the associated (predicted) error-covariance matrix. Irregular sampling may occur as a result of differences in sampling rates and/or lack of synchrony in a geographically-distributed power ...
null Bei Yan   +2 more
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Multi-sensor Fusion through Adaptive Bayesian Networks

2011
Common sensory devices for measuring environmental data are typically heterogeneous, and present strict energy constraints; moreover, they are likely affected by noise, and their behavior may vary across time. Bayesian Networks constitute a suitable tool for pre-processing such data before performing more refined artificial reasoning; the approach ...
DE PAOLA, Alessandra   +3 more
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Multi-Sensor Network Design Based on Intelligent Node

Applied Mechanics and Materials, 2011
To resolve the problem of data transmitting in multi-sensor network possessing of a lot of sensors and processing sensors signals on the same time base and transmitting the results remotely, a three classes’ bus topology structure based on intelligent node was designed. The system comprised scene devices, transmission cable, and console.
Zuo Xi Tian, Z Dong, G Y Yang, C J Chen
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Multi-user multi-sensor detectors for CDMA networks

IEEE Transactions on Communications, 1995
Considers a code division multiple access (CDMA) cellular network and proposes sub-optimal multiuser detectors which exploit a type of diversity inherent in the system and are based on the processing of signals received at multiple base stations.
S. Kandala, E.S. Sousa, S. Pasupathy
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Multi-sensor Data fusion in wireless sensor networks

The Proceedings of the Multiconference on "Computational Engineering in Systems Applications", 2006
In wireless sensor networks, the sensor nodes usually use battery power, one of the main design challenges is to obtain long system lifetime. In a sensor network, the nodes usually sense several kinds of information. These kinds of data have different characteristics. In this paper, the sensed data from the sensor nodes are divided into two types; they
Yin Zhenyu   +6 more
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Multi-sensor information fusion based on BP network

2010 Sixth International Conference on Natural Computation, 2010
The output of pressure sensor is affected by non-objection parameters in its application, such as temperature, power fluctuation and so on. Multi-sensor information fusion based on BP network can eliminate the side effect of non-objection parameters and improve the accuracy and reliability for the pressure sensor. This method based on LMBP algorithm of
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Swallow segmentation with artificial neural networks and multi-sensor fusion

Medical Engineering & Physics, 2009
Swallow segmentation is a critical precursory step to the analysis of swallowing signal characteristics. In an effort to automatically segment swallows, we investigated artificial neural networks (ANN) with information from cervical dual-axis accelerometry, submental MMG, and nasal airflow.
Joon, Lee, Catriona M, Steele, Tom, Chau
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Train bearing fault diagnosis based on multi-sensor data fusion and dual-scale residual network

Nonlinear dynamics, 2023
Deqiang He   +5 more
semanticscholar   +1 more source

AVSS 2011 demo session: Smart Resource-Aware Multi-Sensor Network

2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2011
Summary form only given. The invited talks are: How to Compare Alternative Architectures by Radia Perlman of Intel; Portals 4: Enabling Application/Architecture Co-Design for High-Performance Interconnects by Ron Brightwell of Sandia National Laboratories; and Electronic-Photonic Integration within Switches and Routers by Mike Watts of MIT.
Al Machot F.   +10 more
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