A TOOLBOX DESIGN FOR LABORATORY APPLICATION OF ELECTRONIC NOSE USING VIRTUAL INSTRUMENTATION

Authors

  • Mohammad Ayub Khan Electronics and Communication, Anand Engineering College, Agra, India
  • Prakash Chandra Electronics and Communication, SIET, Greater Noida, India
  • Pratibha Mishra Electronics and Communication, RKGEC, Pilkhuwa, Ghaziabad, India
  • Rajansh Sinha Electronics and Communication, Anand Engineering College, Agra, India

DOI:

https://doi.org/10.29121/ijetmr.v5.i2.2018.646

Keywords:

Electronic Nose, Sno2 Sensor, Virtual Instrumentation

Abstract

The tool consists of several virtual instrumentation allowing the implantation of the different measurement technique that are commonly used in this research field. What follows describes an integrated system that automatically controls the composition of the mixture under analysis, provides set up for both the virtual instrumentation and customs electronics, and performs the selected class algorithms for features extraction, data dimensionality reduction and classification. Assisting perspective task to virtual instrumentation controlling the entire system gives us the possibility to avoid the presence of error due to human control. Such systems, and in particular those designed for research application, utilize a large number of sub system for chemical sampling control, for signal generation and acquisition, and for data manipulation. This paper describes a tool box of virtual instrumentation developed for research purposes and based on a laboratory electronics nose.

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References

N. Bârsan and R. Ionescu, “The Mechanism of the Interaction between CO and an SnO2 Surface: The Role of Water Vapor”, Sensors and Actuators B12, (1993) 71-75 DOI: https://doi.org/10.1016/0925-4005(93)85017-5

http://www .emsl.pnl.gov:2080/docs/cie/neural/

N. Bârsan, “Conduction Models in Gas-Sensing SnO2 Layers: Grain-Size Effects and Ambient Atmosphere Influence”, Sensors and Actuators B17 (1994), 241-246 DOI: https://doi.org/10.1016/0925-4005(93)00873-W

Peter Wide, “The Human-Based Multisensor Fusion Method for Artificial Nose and Tongue Sensor Data”, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 47, NO. 5, OCTOBER 1998 DOI: https://doi.org/10.1109/19.746559

Andrei Fluerasu, Syprotec Inc. , Pointe Claire, Quebec Nicolae Bârsan, Institute for Interface Analysis and Sensors, Tuebingen, Germany Ken K. Chin, New Jersey Institute of Technology, Newark, NJ, “Gas Sensing Mechanisms in Thick and Porous SnO2 layers

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Published

2018-02-28

How to Cite

Khan, M. A., Chandra, P., Mishra , P., & Sinha, R. (2018). A TOOLBOX DESIGN FOR LABORATORY APPLICATION OF ELECTRONIC NOSE USING VIRTUAL INSTRUMENTATION. International Journal of Engineering Technologies and Management Research, 5(2), 208–215. https://doi.org/10.29121/ijetmr.v5.i2.2018.646