Publication:
Simulation of Radio Tomographic Imaging for Measurement Rice Moisture Content

cris.author.scopus-author-id 57210915376
cris.author.scopus-author-id 57192974774
cris.author.scopus-author-id 16175792400
cris.author.scopus-author-id 16943523200
cris.author.scopus-author-id 36560557700
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtual.department Universiti Malaysia Perlis
cris.virtualsource.department 0a657b50-c6c1-403e-ac43-c1c3eed50be2
cris.virtualsource.department 320708d5-9ee0-402f-806f-c58a5b23d87a
cris.virtualsource.department b4e47073-9eb5-4c58-8562-c9b7e36f8ac7
cris.virtualsource.department db7b85b7-3dd9-408d-9d57-03e40dcbf1c9
dc.contributor.author Mohammed Saeed Moqbel Abdullah
dc.contributor.author Latifah Munirah Kamarudin
dc.contributor.author Mohd Hafiz Fazalul Rahiman
dc.contributor.author Latifah Mohamed
dc.contributor.author Ammar Zakaria
dc.date.accessioned 2024-09-27T01:19:21Z
dc.date.available 2024-09-27T01:19:21Z
dc.date.issued 2020-08-01
dc.description.abstract Radio Tomographic Imaging (RTI) is an emerging technology for imaging the attenuation caused by physical objects in wireless networks that perform wireless receive signal strength (RSS) measurements obtain a reconstruction of objects inside an area of interest to know the different moisture content of rice in the silo. The simulation results analysis has been performed. The image of the phantoms was reconstructed by the selected image reconstruction algorithms, which are Linear Back Projection (LBP), Filtered Back Projection (FBP), and Gaussian. Evaluation of this work was assessed by using three image quality assessment techniques Mean Structural Similarity Index (MSSIM). MSSIM was used to analyze the reconstructed images. Among the three proposed images reconstruction algorithms linear back projection, filtered back projection, and Gaussian algorithm. Gaussian seems to be a more reliable option for reconstructing the image of moisture content of rice in a silo by using 20 RF nodes in the RTI system. This paper discusses in detail the use of shadowing losses on links between RF sensors in a wireless community to image the attenuation of moisture content inside the wi-fi network vicinity.
dc.identifier.doi 10.1109/ICCSCE50387.2020.9204958
dc.identifier.isbn [9781728172439]
dc.identifier.scopus 2-s2.0-85093835975
dc.identifier.uri https://hdl.handle.net/20.500.14170/4014
dc.relation.funding Ministry of Higher Education, Malaysia
dc.relation.grantno undefined
dc.relation.ispartof Proceedings - 10th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2020
dc.relation.ispartofseries Proceedings - 10th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2020
dc.subject Moisture Content | Radio Tomography | Receive Signal Strength
dc.title Simulation of Radio Tomographic Imaging for Measurement Rice Moisture Content
dc.type Conference Proceeding
dspace.entity.type Publication
oaire.citation.endPage 67
oaire.citation.startPage 62
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.affiliation.orgunit Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.author.affiliation Universiti Malaysia Perlis
oairecerif.citation.number 9204958
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person.identifier.scopus-author-id 57210915376
person.identifier.scopus-author-id 57192974774
person.identifier.scopus-author-id 16175792400
person.identifier.scopus-author-id 16943523200
person.identifier.scopus-author-id 36560557700
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