Janusz Smulko - Science profile - Bridge of Knowledge

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Centrum Transferu Wiedzy i Technologii
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Al. Zwycięstwa 27, 80-219 Gdańsk
Phone
+48 58 348 62 62
E-mail
biznes@pg.edu.pl

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Publication showcase

  • New approaches for improving selectivity and sensitivity of resistive gas sensors: a review

    • J. Smulko
    • M. Trawka
    • C. G. Granqvist
    • R. Ionescu
    • F. E. Annanouch
    • E. Llobet
    • L. B. Kish

    - Sensor Review - Year 2015

    Purpose – This paper aims to present the methods of improving selectivity and sensitivity of resistance gas sensors. Design/methodology/approach – This paper compares various methods of improving gas sensing by temperature modulation, UV irradiation or fluctuation-enhanced sensing. The authors analyze low-frequency resistance fluctuations in commercial Taguchi gas sensors and the recently developed tungsten trioxide (WO3) gas-sensing...

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  • New approaches for improving selectivity and sensitivity of resistive gas sensors: A review

    • J. Smulko
    • M. Trawka
    • L. Hasse
    • C. G. Granqvist
    • R. Ionescu
    • F. E. Annanouch
    • E. Llobet
    • L. B. Kish

    - Year 2014

    Resistive gas sensors are very popular and reliable but suffer from low selectivity and sensitivity. Various methods have been suggested to improve both features without increasing the number of sensors in gas detection systems. Fluctuation enhanced gas sensing was proposed to improve gas detection efficiency by analyzing low-frequency resistance fluctuations, and noise parameters can be more informative than the single DC resistance...

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  • Methods of trend removal in electrochemical noise data – overview

    In this paper we shall review popular methods of trend removal from electrochemical noise time records. The basic principles of operation of the six most popular methods are explained. The proposed methods are: high - pass filtering, Moving Average Removal, polynomial detrending, wavelet detrending, Empirical Mode Decomposition and Variational Mode Decomposition. Estimation of trend removal quality...

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