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A low power ammonia sensor node embedded with a light weight non-linear analytics.

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Title: A low power ammonia sensor node embedded with a light weight non-linear analytics.
Authors: Baskar, Chanthini1, Nesakumar, Noel2, Rayappan, John Bosco Balaguru3, Doraipandian, Manivannan1 dmv@cse.sastra.edu
Source: Sensors & Actuators A: Physical. Aug2017, Vol. 263, p357-362. 6p.
Subjects: Gas detectors, Wireless sensor nodes, Ammonia, Standard deviations, Energy consumption
Abstract: A wireless gas sensor node with nanosensor for rapid in-situ detection of ammonia gas is developed and an analytical model for precise and accurate quantification of ammonia in any industrial or closed environment has been proposed. A nanosensor is preferred due to its highly selective and sensitive properties for target gases. In this work, a traditional sensing circuit is replaced with a single sensor based voltage divider sensing circuit for signal feeding to microcontroller. As the room temperature operated chemiresistive ammonia sensor has eliminated the use of micro heater, overall power consumption is reduced. A low sensing power consumption of 56 mW was observed and the performance of non-linear model based gas detection algorithm was analysed using Relative Prediction Error (RPE), Root Mean Square Error for Cross Validation (RMSECV) and percentage recovery (% recovery). Best performance metrics values (RPE = 0.04%, RMSECV = 6.128, % recovery = 99.273) were obtained. In addition to this, the wireless sensor node is designed with power harvesting techniques to overcome the issues on node lifetime. [ABSTRACT FROM AUTHOR]
Copyright of Sensors & Actuators A: Physical is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 124608389
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PubTypeId: academicJournal
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  Data: A low power ammonia sensor node embedded with a light weight non-linear analytics.
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  Data: <searchLink fieldCode="DE" term="%22Gas+detectors%22">Gas detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+sensor+nodes%22">Wireless sensor nodes</searchLink><br /><searchLink fieldCode="DE" term="%22Ammonia%22">Ammonia</searchLink><br /><searchLink fieldCode="DE" term="%22Standard+deviations%22">Standard deviations</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink>
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  Data: A wireless gas sensor node with nanosensor for rapid in-situ detection of ammonia gas is developed and an analytical model for precise and accurate quantification of ammonia in any industrial or closed environment has been proposed. A nanosensor is preferred due to its highly selective and sensitive properties for target gases. In this work, a traditional sensing circuit is replaced with a single sensor based voltage divider sensing circuit for signal feeding to microcontroller. As the room temperature operated chemiresistive ammonia sensor has eliminated the use of micro heater, overall power consumption is reduced. A low sensing power consumption of 56 mW was observed and the performance of non-linear model based gas detection algorithm was analysed using Relative Prediction Error (RPE), Root Mean Square Error for Cross Validation (RMSECV) and percentage recovery (% recovery). Best performance metrics values (RPE = 0.04%, RMSECV = 6.128, % recovery = 99.273) were obtained. In addition to this, the wireless sensor node is designed with power harvesting techniques to overcome the issues on node lifetime. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Sensors & Actuators A: Physical is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=124608389
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        Value: 10.1016/j.sna.2017.07.003
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      – Code: eng
        Text: English
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        PageCount: 6
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        Type: general
      – SubjectFull: Wireless sensor nodes
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      – SubjectFull: Ammonia
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      – SubjectFull: Standard deviations
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      – SubjectFull: Energy consumption
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              M: 08
              Text: Aug2017
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              Y: 2017
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