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Temperature Compensation for Low Concentration Nitrate Measurement

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Book cover Smart Nitrate Sensor

Part of the book series: Smart Sensors, Measurement and Instrumentation ((SSMI,volume 35))

Abstract

This chapter explains the design and development of a portable sensing system that could be used in situ to detect the concentrations of nitrate present in the groundwater.

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References

  1. A.I. Zia et al., Electrochemical impedance spectroscopy based MEMS sensors for phthalates detection in water and juices. J. Phys.: Conf. Ser. 439, 012026 (2013)

    Google Scholar 

  2. M. Yunus, S. Mukhopadhyay, K. Jayasundera, A novel planar interdigital sensor for environmental monitoring, in Sensors, 2009 IEEE (IEEE, 2009), pp. 105–110

    Google Scholar 

  3. A. Prodic, D. Maksimovic, R.W. Erickson, Design and implementation of a digital PWM controller for a high-frequency switching DC-DC power converter, in Industrial Electronics Society, 2001. IECON’01. The 27th Annual Conference of the IEEE, vol. 2 (IEEE, 2001), pp. 893–898

    Google Scholar 

  4. C.S. Eva Murphy. All about direct digital synthesis. Analog Dialogue. http://www.analog.com/library/analogdialogue/archives/38-08/dds.pdf

  5. “PWM Sine Wave Generation.” http://web.csulb.edu/~hill/ee470/Lab%202d%20-%20Sine_Wave_Generator.pdf

  6. L. Liao, W. Jin, R. Pavel, Enhanced restricted boltzmann machine with prognosability regularization for prognostics and health assessment. IEEE Trans. Industr. Electron. 63(11), 7076–7083 (2016)

    Article  Google Scholar 

  7. S. Pirbhulal, H. Zhang, S.C. Mukhopadhyay, W. Wu Y.-T. Zhang, Heart-beats based biometric random binary sequences generation to secure wireless body sensor networks. IEEE Trans. Biomed. Eng. (2019)

    Google Scholar 

  8. S. Pirbhulal, O.W. Samuel, W. Wu, A.K. Sangaiah, G. Li, A joint resource-aware and medical data security framework for wearable healthcare systems. Future Gener. Comput. Syst. 95(19), 382–391 (2019)

    Article  Google Scholar 

  9. A.H. Sodhro, S. Pirbhulal, Artificial intelligence driven mechanism for edge computing based industrial applications. IEEE Trans. Industr. Inf. 19(1), 1–8 (2019)

    Article  Google Scholar 

  10. S. Pirbhulal, P. Shang, W. Wu, O.W. Samuel, G. Li, Fuzzy vault-based biometric security method for tele-health monitoring systems. Comput. Electr. Eng. 71(1), 546–557 (2018)

    Article  Google Scholar 

  11. S. Pirbhulal, P. Shang, W. Wu, A.K. Sangaiah, O.W. Samuel, G. Li, Fuzzy vault-based biometric security method for tele-health monitoring systems. Comput. Electr. Eng. 71, 546–557 (2018)

    Article  Google Scholar 

  12. W. Wu, S. Pirbhulal, G. Li, Adaptive computing-based biometric security for intelligent medical applications. Neural Comput. Appl. pp. 1–10 (2018)

    Google Scholar 

  13. S. Pirbhulal, H. Zhang, S.C. Mukhopadhyay, W. Wu Y.-T. Zhang, An efficient biometric-based algorithm using heart rate variability for securing body sensor networks. Sensors, SCI, 15, 15067–15089 (2015)

    Article  Google Scholar 

  14. S. Pirbhulal, H. Zhang, W. Wu, Y.-T. Zhang, Analysis of Efficient Biometric Index using Heart Rate Variability for Remote Monitoring of Obstructive Sleep Apnea. Neuropsychiatry, SCI (2017)

    Google Scholar 

  15. L. Da Xu, W. He, S. Li, Internet of things in industries: a survey. IEEE Trans. Industr. Inf. 10(4), 2233–2243 (2014)

    Article  Google Scholar 

  16. L. Li, H. Xiaoguang, C. Ke, H. Ketai, The applications of WiFi-based wireless sensor network in internet of things and smart grid, in 2011 6th IEEE Conference on Industrial Electronics and Applications (ICIEA) (IEEE, 2011), pp. 789–793

    Google Scholar 

  17. Thingspeak: The open data platform for the Internet of Things. https://thingspeak.com/

  18. T. Berners-Lee, R. Fielding, H. Frystyk, Hypertext transfer protocol–HTTP/1.0, 2070-1721 (1996)

    Google Scholar 

  19. M.E.E. Alahi, X. Li, S. Mukhopadhyay, L. Burkitt, Application of practical nitrate sensor based on electrochemical impedance spectroscopy, in Sensors for Everyday Life: Environmental and Food Engineering, ed. by S.C. Mukhopadhyay, O.A. Postolache, K.P. Jayasundera, A.K. Swain (Springer International Publishing, Cham, 2017), pp. 109–136

    Chapter  Google Scholar 

  20. M.E. Alahi, L. Xie, A.I. Zia, S. Mukhopadhyay, L. Burkitt, Practical nitrate sensor based on electrochemical impedance measurement, in Instrumentation and Measurement Technology Conference Proceedings (I2MTC), 2016 IEEE International (IEEE, 2016), pp. 1–6

    Google Scholar 

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Correspondence to Md Eshrat E Alahi .

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Alahi, M.E., Mukhopadhyay, S.C. (2019). Temperature Compensation for Low Concentration Nitrate Measurement. In: Smart Nitrate Sensor. Smart Sensors, Measurement and Instrumentation, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-030-20095-4_4

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  • DOI: https://doi.org/10.1007/978-3-030-20095-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20094-7

  • Online ISBN: 978-3-030-20095-4

  • eBook Packages: EngineeringEngineering (R0)

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