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Title: :  Seismological data Discrimination using Fuzzy Classification
PaperId: :  2468
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2468
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Krishna G. VadoliaL.J. Institute of Engineering and Technology

Abstract

Computer Engineering
seismic data classification, data classification applications, seismic data differentiation, application of fuzzy classification algorithm.
Earthquake mainly produces P- and S- wave at the point of occurrence. Mining site that mines the geological ma-terial from earth often makes the quarry blasts on the surface of earth to accelerate the mining process instead of drilling. This mining blast also causes the same wave as the earthquake. It is very difficult to differentiate between two of them as the characteristics of waves produced by these two events are similar. Sometimes mining sites are located near to residential area and discrimination of earthquake and quarry blast data is important to analyze the geological activities to create awareness. Data classification is one of the effective techniques that differentiate the data into a number of classes. In this paper , I calculated several parameters from wave form of an event. Fuzzy classification is good idea to differentiate them. Experimental result shows that Rule- based classification method is not useful to differentiate seismic data into mining blast and earthquake. While Fuzzy Classification Method gives 80-85% accurate result to identify class over noisy data.

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IJARIIE Krishna G. Vadolia. "Seismological data Discrimination using Fuzzy Classification" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 2589-2597
MLA Krishna G. Vadolia. "Seismological data Discrimination using Fuzzy Classification." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 2589-2597.
APA Krishna G. Vadolia. (2016). Seismological data Discrimination using Fuzzy Classification. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 2589-2597.
Chicago Krishna G. Vadolia. "Seismological data Discrimination using Fuzzy Classification." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 2589-2597.
Oxford Krishna G. Vadolia. 'Seismological data Discrimination using Fuzzy Classification', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 2589-2597. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Seismological_data_Discrimination_using_Fuzzy_Classification_ijariie2468.pdf (Accessed : ).
Harvard Krishna G. Vadolia. (2016) 'Seismological data Discrimination using Fuzzy Classification', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 2589-2597IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Seismological_data_Discrimination_using_Fuzzy_Classification_ijariie2468.pdf (Accessed : )
IEEE Krishna G. Vadolia, "Seismological data Discrimination using Fuzzy Classification," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 2589-2597, May-Jun 2016. [Online]. Available: http://ijariie.com/AdminUploadPdf/Seismological_data_Discrimination_using_Fuzzy_Classification_ijariie2468.pdf [Accessed : ].
Turabian Krishna G. Vadolia. "Seismological data Discrimination using Fuzzy Classification." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 ().
Vancouver Krishna G. Vadolia. Seismological data Discrimination using Fuzzy Classification. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(3) : 2589-2597. Available from: http://ijariie.com/AdminUploadPdf/Seismological_data_Discrimination_using_Fuzzy_Classification_ijariie2468.pdf
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