Please use this identifier to cite or link to this item: http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/554
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dc.contributor.authorAibinu, A. M.-
dc.contributor.authorSadiq, B. A.-
dc.contributor.authorJoseph, E.-
dc.contributor.authorSalau, Bello H.-
dc.contributor.authorSalami, Momoh-Jimoh E.-
dc.date.accessioned2019-10-16T13:55:54Z-
dc.date.available2019-10-16T13:55:54Z-
dc.date.issued2014-06-03-
dc.identifier.citationAibinu, A. M., Sadiq, B. A., Joseph, E., Salau, H. B., & Salami, M. J. E. (2014, June). Development of an intelligent scorpion detection technique using vibration analysis. In 2014 International Conference on Computer and Information Sciences (ICCOINS) (pp. 1-4). IEEE.en_US
dc.identifier.urihttp://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/554-
dc.description.abstractA 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.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectDetectionen_US
dc.subjectFrequencyen_US
dc.subjectScorpionen_US
dc.subjectVibration Analysisen_US
dc.titleDevelopment of an intelligent scorpion detection technique using vibration analysisen_US
dc.typeArticleen_US
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