Study of Liquid Weeping at a Tapered Orifice in a Bubble Column Reactor by a Computer-Aided Image Analysis Algorithm

2010 ◽  
Vol 49 (8) ◽  
pp. 3840-3848 ◽  
Author(s):  
Md. Iqbal Hossain ◽  
Si Qi Pang ◽  
Qing Xi Pang ◽  
Yanhui Yang ◽  
Raymond Lau
2017 ◽  
Author(s):  
Nur Afizah Ibrahim ◽  
Amir Khalid ◽  
Izzuddin Zaman ◽  
Azwan Sapit ◽  
Bukhari Manshoor

Fuel ◽  
2021 ◽  
pp. 122481
Author(s):  
Hung Hai Pham ◽  
Suk Hyun Lim ◽  
Kang Seok Go ◽  
Nam Sun Nho ◽  
Eun Hee Kwon ◽  
...  

2009 ◽  
Vol 146 (2) ◽  
pp. 184-188 ◽  
Author(s):  
José M. Navaza ◽  
Diego Gómez-Díaz ◽  
M Dolores La Rubia

2019 ◽  
Vol 12 (8) ◽  
pp. 4241-4259 ◽  
Author(s):  
Sylke Boyd ◽  
Stephen Sorenson ◽  
Shelby Richard ◽  
Michelle King ◽  
Morton Greenslit

Abstract. Halo displays, in particular the 22∘ halo, have been captured in long time series of images obtained from total sky imagers (TSIs) at various Atmospheric Radiation Measurement (ARM) sites. Halo displays form if smooth-faced hexagonal ice crystals are present in the optical path. We describe an image analysis algorithm for long time series of TSI images which scores images with respect to the presence of 22∘ halos. Each image is assigned an ice halo score (IHS) for 22∘ halos, as well as a photographic sky type (PST), which differentiates cirrostratus (PST-CS), partially cloudy (PST-PCL), cloudy (PST-CLD), or clear (PST-CLR) within a near-solar image analysis area. The color-resolved radial brightness behavior of the near-solar region is used to define the discriminant properties used to classify photographic sky type and assign an ice halo score. The scoring is based on the tools of multivariate Gaussian analysis applied to a standardized sun-centered image produced from the raw TSI image, following a series of calibrations, rotation, and coordinate transformation. The algorithm is trained based on a training set for each class of images. We present test results on halo observations and photographic sky type for the first 4 months of the year 2018, for TSI images obtained at the Southern Great Plains (SGP) ARM site. A detailed comparison of visual and algorithm scores for the month of March 2018 shows that the algorithm is about 90 % reliable in discriminating the four photographic sky types and identifies 86 % of all visual halos correctly. Numerous instances of halo appearances were identified for the period January through April 2018, with persistence times between 5 and 220 min. Varying by month, we found that between 9 % and 22 % of cirrostratus skies exhibited a full or partial 22∘ halo.


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