Results 261 to 270 of about 1,502,311 (318)

Multi-sensor filtering fusion meets censored measurements under a constrained network environment: advances, challenges and prospects

International Journal of Systems Science, 2021
Multi-sensor filtering fusion (MSFF) is a fascinating subject in the realm of networked filtering due to its advantage of effectively integrating sensor outputs from multiple sources.
Hang Geng, Hongjian Liu, Lifeng Ma, X. Yi   +3 more
semanticscholar   +1 more source

Centralized Cooperative Sensor Fusion for Dynamic Sensor Network With Limited Field-of-View via Labeled Multi-Bernoulli Filter

IEEE Transactions on Signal Processing, 2021
This paper presents a new solution for multi-target tracking over a network of sensors with limited spatial coverage. The proposed solution is based on the centralized data fusion architecture.
A. Gostar, T. Rathnayake, Ruwan Tennakoon, A. Bab-Hadiashar, G. Battistelli, L. Chisci, R. Hoseinnezhad   +6 more
semanticscholar   +1 more source

An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network

IEEE Transactions on Instrumentation and Measurement, 2020
An enhanced intelligent diagnosis method for rotary equipment is proposed based on multi-sensor data-fusion and an improved deep convolutional neural network (CNN) models.
Huaqing Wang, Shi Li, Liuyang Song, Lingli Cui, Pengxin Wang   +4 more
semanticscholar   +1 more source

MULTI-SENSOR WIRELESS NETWORK SYSTEM FOR HURRICANE MONITORING

SOFT MEASUREMENTS AND COMPUTING, 2021
A wireless sensor system is described. Pressure sensor measurements are compared with National Weather Service data and wind tunnel test data. It then describes a minivan highway test that was used to evaluate the effect of sensor housing shape on pressure measurements.
Chelakara Subramanian, Gabriel Lapilli, Frederic Krate, JeanPaul Pinelli, Ivica Kostanic   +4 more
openaire   +1 more source

Multi-sensor data fusion using neural networks

1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings, 2002
A general approach to the use of neural networks for data fusion is outlined. The discussion begins with examples of data fusion problems and a pattern recognition example is given to illustrate the concepts involved in data fusion. The differences between using post- and pre-detection signals and the advantages of using the latter are discussed.
D.W. Fincher, D.F. Mix
openaire   +1 more source

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, Liang Chen, Laura Ruotsalainen, Ling Pei, Yuwei Chen, Ruizhi Chen   +5 more
openaire   +1 more source

Neural network based multi sensor heart sound analysis

[1990] Proceedings Computers in Cardiology, 2002
It is demonstrated how neural nets, used for nonlinear modeling and signal classification, can estimate from a continuous recording of an acoustical stethoscope signal the beginning of a cardiac cycle, the systolic and diastolic time intervals and suggest suitable diagnoses in case of heart failures and arrhythmia.
D. Barschdorff, S. Ester, T. Dorsel, E. Most   +3 more
openaire   +1 more source

Decorrelators for multi‐sensor systems in CDMA networks

European Transactions on Telecommunications, 1995
AbstractIn this paper we consider a multi‐sensor detection problem in both additive white Gaussian noise (AWGN) and fading channels with the users using the channel based on a code division multiple access (CDMA) scheme. Several multi‐sensor detectors that have been studied previously do offer good performance; however, these detectors require the ...
Srinivas Kandala, Elvino S. Sousa, Subbarayan Pasupathy   +2 more
openaire   +1 more source

Multi-Sensor Multi-Network Positioning

2012
This chapter discusses methods for positioning utilizing multiple sensors and networks. For achieving seamless positioning and navigation in a smartphone from satellite signal denied areas such as indoors to everywhere outdoors, various technologies to replace and assist satellite navigation, and flexible integration algorithms for measurement fusion ...
Heidi Kuusniemi, Yuwei Chen, Liang Chen
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.
J. Rajapakse, R. Acharya
openaire   +1 more source