On-line monitoring of indoor environmental gases using ART2 neural networks and multi-sensor fusion

Jung Hwan Cho; Chang Hyun Shim; In Soo Lee; Gi Joon Jeon

On-line monitoring of indoor environmental gases using ART2 neural networks and multi-sensor fusion

Jung Hwan Cho
, Chang Hyun Shim
, In Soo Lee
, Gi Joon Jeon

School of Electronics Engineering

Kyungpook National University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

We propose an on-line gas monitoring system for classifying various gases with different concentrations. Using thermal modulation of operating temperature of two sensors, we extract patterns of gases from the voltage across the load resistance. We adopt the relative resistance as a pre-processing method, ART2 neural networks as a pattern recognition method, and a simple coordinator as a multisensor fusion method to provide more reliable and accurate information. The proposed method has been implemented in a real time embedded system with tin oxide gas sensors, TGS 2611, 2602, and an MSP430 ultra-low power microcontroller in the test chamber

Original language	English
Title of host publication	Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04
Editors	M. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa, M. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa
Pages	125-129
Number of pages	5
State	Published - 2004
Event	2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04 - Melbourne, Australia Duration: 14 Dec 2004 → 17 Dec 2004

Publication series

Name	Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04

Conference

Conference	2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04
Country/Territory	Australia
City	Melbourne
Period	14/12/04 → 17/12/04

Cite this

Cho, J. H., Shim, C. H., Lee, I. S., & Jeon, G. J. (2004). On-line monitoring of indoor environmental gases using ART2 neural networks and multi-sensor fusion. In M. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa, M. Palaniswami, B. Krishnamachari, A. Sowmya, & S. Challa (Eds.), Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04 (pp. 125-129). (Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04).

Cho, Jung Hwan ; Shim, Chang Hyun ; Lee, In Soo et al. / On-line monitoring of indoor environmental gases using ART2 neural networks and multi-sensor fusion. Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04. editor / M. Palaniswami ; B. Krishnamachari ; A. Sowmya ; S. Challa ; M. Palaniswami ; B. Krishnamachari ; A. Sowmya ; S. Challa. 2004. pp. 125-129 (Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04).

@inproceedings{4daf09c4be4d425db7b98fbce6336524,

title = "On-line monitoring of indoor environmental gases using ART2 neural networks and multi-sensor fusion",

abstract = "We propose an on-line gas monitoring system for classifying various gases with different concentrations. Using thermal modulation of operating temperature of two sensors, we extract patterns of gases from the voltage across the load resistance. We adopt the relative resistance as a pre-processing method, ART2 neural networks as a pattern recognition method, and a simple coordinator as a multisensor fusion method to provide more reliable and accurate information. The proposed method has been implemented in a real time embedded system with tin oxide gas sensors, TGS 2611, 2602, and an MSP430 ultra-low power microcontroller in the test chamber",

author = "Cho, \{Jung Hwan\} and Shim, \{Chang Hyun\} and Lee, \{In Soo\} and Jeon, \{Gi Joon\}",

year = "2004",

language = "English",

isbn = "0780388933",

series = "Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04",

pages = "125--129",

editor = "M. Palaniswami and B. Krishnamachari and A. Sowmya and S. Challa and M. Palaniswami and B. Krishnamachari and A. Sowmya and S. Challa",

booktitle = "Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04",

note = "2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04 ; Conference date: 14-12-2004 Through 17-12-2004",

}

Cho, JH, Shim, CH, Lee, IS & Jeon, GJ 2004, On-line monitoring of indoor environmental gases using ART2 neural networks and multi-sensor fusion. in M Palaniswami, B Krishnamachari, A Sowmya, S Challa, M Palaniswami, B Krishnamachari, A Sowmya & S Challa (eds), Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04. Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04, pp. 125-129, 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04, Melbourne, Australia, 14/12/04.

On-line monitoring of indoor environmental gases using ART2 neural networks and multi-sensor fusion. / Cho, Jung Hwan; Shim, Chang Hyun; Lee, In Soo et al.
Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04. ed. / M. Palaniswami; B. Krishnamachari; A. Sowmya; S. Challa; M. Palaniswami; B. Krishnamachari; A. Sowmya; S. Challa. 2004. p. 125-129 (Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - On-line monitoring of indoor environmental gases using ART2 neural networks and multi-sensor fusion

AU - Cho, Jung Hwan

AU - Shim, Chang Hyun

AU - Lee, In Soo

AU - Jeon, Gi Joon

PY - 2004

Y1 - 2004

N2 - We propose an on-line gas monitoring system for classifying various gases with different concentrations. Using thermal modulation of operating temperature of two sensors, we extract patterns of gases from the voltage across the load resistance. We adopt the relative resistance as a pre-processing method, ART2 neural networks as a pattern recognition method, and a simple coordinator as a multisensor fusion method to provide more reliable and accurate information. The proposed method has been implemented in a real time embedded system with tin oxide gas sensors, TGS 2611, 2602, and an MSP430 ultra-low power microcontroller in the test chamber

AB - We propose an on-line gas monitoring system for classifying various gases with different concentrations. Using thermal modulation of operating temperature of two sensors, we extract patterns of gases from the voltage across the load resistance. We adopt the relative resistance as a pre-processing method, ART2 neural networks as a pattern recognition method, and a simple coordinator as a multisensor fusion method to provide more reliable and accurate information. The proposed method has been implemented in a real time embedded system with tin oxide gas sensors, TGS 2611, 2602, and an MSP430 ultra-low power microcontroller in the test chamber

UR - https://www.scopus.com/pages/publications/28844499515

M3 - Conference contribution

AN - SCOPUS:28844499515

SN - 0780388933

SN - 9780780388932

T3 - Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04

SP - 125

EP - 129

BT - Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04

A2 - Palaniswami, M.

A2 - Krishnamachari, B.

A2 - Sowmya, A.

A2 - Challa, S.

A2 - Palaniswami, M.

A2 - Krishnamachari, B.

A2 - Sowmya, A.

A2 - Challa, S.

T2 - 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04

Y2 - 14 December 2004 through 17 December 2004

ER -

Cho JH, Shim CH, Lee IS, Jeon GJ. On-line monitoring of indoor environmental gases using ART2 neural networks and multi-sensor fusion. In Palaniswami M, Krishnamachari B, Sowmya A, Challa S, Palaniswami M, Krishnamachari B, Sowmya A, Challa S, editors, Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04. 2004. p. 125-129. (Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04).

On-line monitoring of indoor environmental gases using ART2 neural networks and multi-sensor fusion

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