Galois field transformation effect on space-time-volume velocimetry method for water surface velocity video analysis

Author:

Sirenden Bernadus H.,Mursanto PetrusORCID,Wijonarko Sensus

Funder

University Grant for Internationally Indexed Publication of Students’ Final Project

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference32 articles.

1. Bahjat H, Salih MA (2014) Article: speed image encryption scheme using dynamic galois field gf(p) matrices. Int J Comput Appl 89(7):7–12. https://doi.org/10.5120/15513-4218

2. Frost J (2020) Measures of variability: range, interquartile range, variance, and standard deviation. https://statisticsbyjim.com/basics/variability-range-interquartile-variance-standard-deviation/ Accessed 20 Feb 2021

3. Fujita I (2017) Discharge measurements of snowmelt flood by space-time image velocimetry during the night using far-infrared camera. Water 2017 9:269. https://doi.org/10.3390/w9040269

4. Fujita I, Kosaka Y, Honda M, Yorozuya A (2012) Tracking of river surface features by space time imaging. In: 15th international symposium on flow visualization June 25–28, 2012, Minsk, Belarus. http://www.itmo.by/pdf/isfv/ISFV15-045.pdf

5. Fujita I, Watanabe H, Tsubaki R (2007) Development of a non-intrusive and efficient flow monitoring technique: the space-time image velocimetry (stiv). Int J River Basin Manag 5(2):105–114. https://doi.org/10.1080/15715124.2007.9635310

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