Results 171 to 180 of about 9,392,941 (233)
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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), 2011The 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 ...
Bei Yan +2 more
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Multi-user multi-sensor detectors for CDMA networks
IEEE Transactions on Communications, 1995Considers 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.
Srinivas Kandala +2 more
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A Genetic Algorithm on Multi-sensor Networks Lifetime Optimization
2006Since data communications consume the most energy of sensor networks, it is reasonable to take efficient traffic balancing to prolong the lifetime. In addition, the traffic aggregation is a main characteristic that distinguish sensor networks from others e.g. Internet and MANET.
Yantao Pan, Wei Peng 0005, Xicheng Lu
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IEEE Control Systems Letters, 2019
Average-consensus tracking problem is investigated for sensor network, in which the computing units are modeled by heterogeneous multi-agent systems composed of first-order agents and second-order agents.
Min Zheng, Cheng-Lin Liu, Fei Liu
semanticscholar +1 more source
Average-consensus tracking problem is investigated for sensor network, in which the computing units are modeled by heterogeneous multi-agent systems composed of first-order agents and second-order agents.
Min Zheng, Cheng-Lin Liu, Fei Liu
semanticscholar +1 more source
IEEE Transactions on Network Science and Engineering, 2021
This paper aims to propose a self-triggered consensus control scheme for a class of nonlinear multi-agent systems with sensor saturation. Because of the existence of unknown nonlinear dynamics, this study borrows the approximation capability of neural ...
Du-Xin Chen +4 more
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This paper aims to propose a self-triggered consensus control scheme for a class of nonlinear multi-agent systems with sensor saturation. Because of the existence of unknown nonlinear dynamics, this study borrows the approximation capability of neural ...
Du-Xin Chen +4 more
semanticscholar +1 more source
MULTI-SENSOR NEURAL-NETWORK PROCESSING OF NOISY SPEECH
International Journal of Neural Systems, 1999In this paper, a novel Artificial Neural-Network (ANN) based multi-sensor multi-band adaptive signal-processing scheme is described for enhancing acoustic-speech corrupted by real noise and reverberation. Numerically robust adaptation-algorithms are employed for the ANN based sub-band filters; and, new simulation experiments are reported using real ...
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Design of Smart Car Networking System based on Multi-Sensor Network
2021 6th International Conference on Inventive Computation Technologies (ICICT), 2021Rapid development of intelligent methodologies will leverage novel approaches for enhancing the car monitoring and scheduling system. Hence, this paper studies the smart car networking system based on multi-sensor network. The key to the successful operation of active driving services lies in the selection of high-quality services from the massive ...
Rong Xu, Hui Liu, Harry Haoxiang Wang
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Empirical Examination of Mobile Ad Hoc Routing Protocol on Wireless Sensor Network
2025 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI)A network is a distributed dynamic multi-hop MANET (mobile ad-hoc network). It's critical to create a successful ad-hoc network routing system in order to address the issue with MANET-based WSN (Wireless Sensor Network).
B. Nancharaiah +5 more
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Applied Soft Computing, 2018
Remaining useful life (RUL) prediction of machining tools is a typical multi-sensor information fusion problem. It involves the use of the monitoring information acquired from different types of sensors installed on computer numerical control machine to ...
Jun Wu +5 more
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Remaining useful life (RUL) prediction of machining tools is a typical multi-sensor information fusion problem. It involves the use of the monitoring information acquired from different types of sensors installed on computer numerical control machine to ...
Jun Wu +5 more
semanticscholar +1 more source
2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing
Reliability Engineering & System Safety, 2021Rolling bearing is an indispensable element of rotating machinery, timely and accurate fault diagnosis of rolling bearing plays an important role in the safe and reliable operation of modern industrial systems.
Yang Guan +4 more
semanticscholar +1 more source