• DocumentCode
    1772357
  • Title

    Development of an intelligent scorpion detection technique using vibration analysis

  • Author

    Aibinu, A.M. ; Sadiq, B.A. ; Joseph, E. ; Bello Salau, H. ; Salami, M.J.E.

  • Author_Institution
    Dept. of: Telecommun. Eng., Fed. Univ. of Technol., Minna, Nigeria
  • fYear
    2014
  • fDate
    3-5 June 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A possible solution to address the problem of Scorpion stings is the capability of detecting its presence earlier before it stings. This paper presents efforts in Scorpion detection using substrate vibration modelling approach. An eight stage approach has been presented in this work. Using sinusoidal signal, signal representing Scorpion behaviour was firstly sampled and then amplified before transmitting to a nearby receiving module. The received signal undergoes filtering for noise removal before being modelled for coefficients determination. The computed coefficients were then clustered for analysis of behavioural determination. Results obtained in this work show that the proposed technique can be used for Scorpion detection.
  • Keywords
    biology; signal denoising; vibrations; behavioural determination; coefficients determination; intelligent scorpion detection technique; nearby receiving module; noise removal; scorpion behaviour; scorpion stings; sinusoidal signal; substrate vibration modelling approach; vibration analysis; Artificial neural networks; Computational modeling; Mathematical model; Receiving antennas; Rocks; Substrates; Vibrations; Detection; Frequency; Scorpion; Vibration Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Sciences (ICCOINS), 2014 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-4391-3
  • Type

    conf

  • DOI
    10.1109/ICCOINS.2014.6868374
  • Filename
    6868374