Multiple signal source terrain topography determination using labview VI algorithm
To apply the knowledge in hardware and software integration, as well as utilizing the NI LabVIEW and NI myDAQ signal acquisition attribute. The aim of this research paper is to provide a solution for determining the type of land topograhy through the detection of incoming multiple groundwave signals...
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oai:animorepository.dlsu.edu.ph:faculty_research-22532021-06-02T06:49:27Z Multiple signal source terrain topography determination using labview VI algorithm Alimuin, Ryann A. Bandala, Argel A. Dadios, Elmer P. To apply the knowledge in hardware and software integration, as well as utilizing the NI LabVIEW and NI myDAQ signal acquisition attribute. The aim of this research paper is to provide a solution for determining the type of land topograhy through the detection of incoming multiple groundwave signals from different oscillation sources. Aside from source determination and notification, the user will also be able to visualize, analyze, and classify the type of the incoming signal which depends upon its response as it passes through an indefinite terrain. The system will be using Low Frequency (LF) ground-wave oscillations. This paper deals with the concern using the finite-difference time-domain (FDTD) of topographic terrain identification through soil conductivity and creating a virtual instrument (vi) that will execute a determination algorithm. The LabVIEW program that will be implemented is multiplatform, it will be able to support different versions of LabVIEW depending on the program availability and to support real-time targets. © BEIESP. 2019-08-01T07:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/faculty_research/1254 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=2253&context=faculty_research Faculty Research Work Animo Repository Electromagnetic ground waves Electrical and Electronics Systems and Communications |
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Electromagnetic ground waves Electrical and Electronics Systems and Communications |
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Electromagnetic ground waves Electrical and Electronics Systems and Communications Alimuin, Ryann A. Bandala, Argel A. Dadios, Elmer P. Multiple signal source terrain topography determination using labview VI algorithm |
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To apply the knowledge in hardware and software integration, as well as utilizing the NI LabVIEW and NI myDAQ signal acquisition attribute. The aim of this research paper is to provide a solution for determining the type of land topograhy through the detection of incoming multiple groundwave signals from different oscillation sources. Aside from source determination and notification, the user will also be able to visualize, analyze, and classify the type of the incoming signal which depends upon its response as it passes through an indefinite terrain. The system will be using Low Frequency (LF) ground-wave oscillations. This paper deals with the concern using the finite-difference time-domain (FDTD) of topographic terrain identification through soil conductivity and creating a virtual instrument (vi) that will execute a determination algorithm. The LabVIEW program that will be implemented is multiplatform, it will be able to support different versions of LabVIEW depending on the program availability and to support real-time targets. © BEIESP. |
format |
text |
author |
Alimuin, Ryann A. Bandala, Argel A. Dadios, Elmer P. |
author_facet |
Alimuin, Ryann A. Bandala, Argel A. Dadios, Elmer P. |
author_sort |
Alimuin, Ryann A. |
title |
Multiple signal source terrain topography determination using labview VI algorithm |
title_short |
Multiple signal source terrain topography determination using labview VI algorithm |
title_full |
Multiple signal source terrain topography determination using labview VI algorithm |
title_fullStr |
Multiple signal source terrain topography determination using labview VI algorithm |
title_full_unstemmed |
Multiple signal source terrain topography determination using labview VI algorithm |
title_sort |
multiple signal source terrain topography determination using labview vi algorithm |
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Animo Repository |
publishDate |
2019 |
url |
https://animorepository.dlsu.edu.ph/faculty_research/1254 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=2253&context=faculty_research |
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1702431843970711552 |