NDLI: A virtual layer of measure based on soft sensors

Content Provider	Springer Nature Link
Author	Maniscalco, Umberto Rizzo, Riccardo
Copyright Year	2016
Abstract	In this paper it is proposed a method to design and train a layer of soft sensors based on neural networks in order to constitute a virtual layer of measure in a wireless sensor network. Each soft sensor of the layer esteems the missing values of some hardware sensors by using the values obtained from some other sensors. In so doing, we perform a spatial forecasting. The correlation analysis for all parameter taken into account is used to define a cluster of real sensors used as sources of measure to esteem missing values. An application concerning the fire prevention field is used as a test case and results evaluation.
Starting Page	69
Ending Page	78
Page Count	10
File Format	PDF
ISSN	18685137
Journal	Journal of Ambient Intelligence and Humanized Computing
Volume Number	8
Issue Number	1
e-ISSN	18685145
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-02-22
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Soft sensors Virtual measurement Neural networks Environmental monitoring Computational Intelligence Artificial Intelligence (incl. Robotics) Robotics and Automation User Interfaces and Human Computer Interaction
Content Type	Text
Resource Type	Article
Subject	Computer Science

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A virtual layer of measure based on soft sensors