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Article:Sensor Fusion of Intelligent Sensors using Probability Density

by Dr.L.Mary Immaculate Sheela
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 8
Year of Publication: 2010
Authors: Dr.L.Mary Immaculate Sheela
10.5120/1700-2205

Dr.L.Mary Immaculate Sheela . Article:Sensor Fusion of Intelligent Sensors using Probability Density. International Journal of Computer Applications. 12, 8 ( December 2010), 10-13. DOI=10.5120/1700-2205

@article{ 10.5120/1700-2205,
author = { Dr.L.Mary Immaculate Sheela },
title = { Article:Sensor Fusion of Intelligent Sensors using Probability Density },
journal = { International Journal of Computer Applications },
issue_date = { December 2010 },
volume = { 12 },
number = { 8 },
month = { December },
year = { 2010 },
issn = { 0975-8887 },
pages = { 10-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume12/number8/1700-2205/ },
doi = { 10.5120/1700-2205 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:01:06.792671+05:30
%A Dr.L.Mary Immaculate Sheela
%T Article:Sensor Fusion of Intelligent Sensors using Probability Density
%J International Journal of Computer Applications
%@ 0975-8887
%V 12
%N 8
%P 10-13
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The accuracy of a system is the distance of the system's results from the results desired. The precision of a system is the size of the range of values returned by the system. The algorithm will terminate with each PE Processing Element. A value that is within the given value of all the values held by the other PEs. This method is called Approximate Agreement method.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Expected Output Intelligent Sensor Processing Element (PE) Fault Sensor F

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