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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
openaire   +2 more sources

A Method to Multi-Sensor Networking for Target Tracking

Applied Mechanics and Materials, 2014
The acoustic sensor networking is an important research topic in multi-sensor target tracking system. An acoustic sensor network consists of multiple acoustic sensors which are located in fixed positions with specific deployment mode. It can improve the robustness and fault-tolerance of the target tracking system, especially when a single or few ...
Ning Wang, Hong Wei Quan, Xiu Yin Xue
openaire   +1 more source

Efficient cooperative image transmission in one-way multi-hop sensor network

The International Journal of Electrical Engineering & Education, 2018
The challenging task while transmitting the high-quality images over the wireless sensor networks is to achieve the higher throughput, minimum bit error rate without compromising the image quality.
Bilal Al-Hayani, H. Ilhan
semanticscholar   +1 more source

In-network multi-sensors query aggregation algorithm for wireless sensor networks database

2018 IEEE 15th International Conference on Networking, Sensing and Control (ICNSC), 2018
In-network adaptive query optimization for Wireless Sensor Networks (WSNs) database considered as a distributed database has been a wide research field. Due to a limited battery of sensors, the research direction regarding energy efficiency has attracted increasing interest in different monitoring applications for extending the lifetime of WSNs ...
Hua Yan   +2 more
openaire   +2 more sources

Dynamic Channel Modeling for Multi-Sensor Body Area Networks

IEEE Transactions on Antennas and Propagation, 2013
A channel model for time-variant multi-link wireless body area networks (WBANs) is proposed in this paper, based on an extensive measurement campaign using a multi-port channel sounder. A total of 12 nodes were placed on the body to measure the multi-link channel within the created WBAN.
Van Roy, Stéphane   +6 more
openaire   +2 more sources

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
openaire   +1 more source

Multi sensor data fusion within hierarchical neural networks

1990 IJCNN International Joint Conference on Neural Networks, 1990
Presents a hierarchical neural network architecture which can achieve multisensor data fusion at feature level by combining the coherent activities of higher-level neurons in the architecture. The architecture learns very quickly and is highly stable and plastic. Initial results show promise.
Jagath C. Rajapakse, Raj Acharya
openaire   +2 more sources

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.
openaire   +1 more source

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
openaire   +2 more sources

Multi-sensor multi-network seamless positioning with visual aiding

2011 International Conference on Localization and GNSS (ICL-GNSS), 2011
This paper presents a measurement fusion approach for seamless outdoor/indoor positioning utilizing multiple sensor and network measurements in addition to computer-vision based aiding. A Kalman filter is implemented for fusing WLAN, Bluetooth, and high-sensitivity GPS positioning results with accelerometer based motion information as well as digital ...
Heidi Kuusniemi   +5 more
openaire   +1 more source

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