COLORED LIGHT-TO-VOLTAGE CONVERTERS BASED ABSORBANCE METER

Authors

  • M. Pereira
  • O. Postolache
  • P. Girao
  • Helena Ramos

DOI:

https://doi.org/10.47839/ijc.2.1.164

Keywords:

Absorbance measurement, error compensation, neural networks

Abstract

A low-cost absorbance meter for dissolved compounds identification and concentration evaluation is proposed. The main elements of the system are a white light source and a set of three colored light-to-voltage converters. The system includes auto-calibration capabilities and compensates spectral sensitivity variation of the optical source and detectors. A neural network-processing scheme is used to identify dissolved compounds and evaluate the correspondent concentrations.

References

D. Skoog, F.J. Holler, T.A. Nieman, Principles of Instrumental Analysis, 5th edition, Saunders College Publishing, 1998.

John B. Peatman, Design with PIC Microcontrollers, Prentice Hall, 1998.

Frank van der Goes, Gerard Meijer, “A Simple Accurate Bridge-Transducer Interface with Continuous Autocalibration”, IEEE Trans. Instrum. Meas., Vol. 46, No.3, pp. 704-710, June 1997.

O. Postolache, M. Pereira, P. Girao, "An Intelligent Turbidity and Temperature Sensing Unit for Water Quality Assessment", Proc. of 2002 IEEE Canadian Conference on Electrical & Computer Engineering, Winnipeg, Canada, 12-15 May 2002, pp.494-499.

O. Postolache, P. Girao, M. Pereira, H. Ramos, An IR Turbidity Sensor: Design and Application, Proc. of IEEE Instrumentation and Measurement Technology Conference, Anchorage, AK, USA, 21-23 May 2002, pp.535-540.

Daniel H. Sheingold, Transducer Interfacing Handbook, Analog Devices Inc., 1981.

R. Rojas, Neural Networks – A Systematic Introduction, Springer Berlin Heidelberg, New York, 1996.

S. Haykin, Neural Networks - A Comprehensive Foundation, Prentice Hall, 1999.

C. Jain, N. M. Martin, Fusion of Neural Networks, Fuzzy Seta, and Genetic Algorithms - Industrial Applcations, CRC Press LLC, 1998.

J.M. Dias Pereira, P. Silva Girao, O. Postolache, “Fitting Transducer Characteristics to Measured Data”, IEEE Instrumentation & Measurement Magazine, Vol.4, No.4, pp. 26-39, Dec. 2001.

A. Bernieri, G. Betta, A. Pietrosanto and C. Sansone “A neural network approach to instrument fault detection and isolation” IEEE Trans.Instr. Meas., vol. 44, pp.747-750, June 1997.

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Published

2014-08-01

How to Cite

Pereira, M., Postolache, O., Girao, P., & Ramos, H. (2014). COLORED LIGHT-TO-VOLTAGE CONVERTERS BASED ABSORBANCE METER. International Journal of Computing, 2(1), 58-64. https://doi.org/10.47839/ijc.2.1.164

Issue

2003, Volume 2, Issue 1

Section

Articles

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