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
Link To Document