Please use this identifier to cite or link to this item: https://elibrary.tucl.edu.np/handle/123456789/8921
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dc.contributor.authorGhimire, Pramod-
dc.date.accessioned2022-03-10T10:07:10Z-
dc.date.available2022-03-10T10:07:10Z-
dc.date.issued2011-01-
dc.identifier.citationMaster of Science in Information and Communication Engineering.en_US
dc.identifier.urihttps://elibrary.tucl.edu.np/handle/123456789/8921-
dc.descriptionThe Particle Tracking Velocimetry (PTV) can be splitted into three sub-processes; the recording of the experiment, the image processing and determination of the velocity components.en_US
dc.description.abstractThe Particle Tracking Velocimetry (PTV) can be splitted into three sub-processes; the recording of the experiment, the image processing and determination of the velocity components. It is essential that each of the three steps be accurate to determine the actual velocity components. Many factors can affect the end result in the particle tracking velocimetry. These factors are scattered in many papers. This thesis collects all the factors that can affect the velocity components in each three steps. The thesis then deals with the modified relaxation based algorithm for tracking the tracer particles between the two image frames. The effect of the maximum threshold value used in the relaxation method on the matching percent and the time for computation is deducted.en_US
dc.language.isoenen_US
dc.publisherPulchowk Campusen_US
dc.subjectParticle Tracking Velocimetry (PTV)en_US
dc.titleFactors Affecting the Particle Tracking Velocimetry & Approach to the New Particle Tracking Algorithmen_US
dc.typeThesisen_US
local.institute.titleInstitute of Engineeringen_US
local.academic.levelMastersen_US
local.affiliatedinstitute.titlePulchowk Campusen_US
Appears in Collections:Electronics and Computer Engineering

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