Bosakova-Ardenska, Atanaska
Advanced Technology and Science (ATScience)

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Store data from experiments with microorganisms used in food industry Bosakova-Ardenska, Atanaska
International Journal of Intelligent Systems and Applications in Engineering Vol 1, No 3 (2013)
Publisher : Advanced Technology and Science (ATScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The aim of this paper is to present results from collaboration of computer engineers and experimenters in microbiology working with molecular-genetic methods. The experimenters in microbiological laboratory at the University of Food Technologies use ARDRA (Amplified Ribosomal DNA Restriction Analysis) analyses and DNA sequencing processed with BLAST (Basic Local Alignment Search Tool) algorithm to identify some microorganisms. Their results have been accumulated in designed database. This will improve the effectiveness and productivity of the molecular-genetic analyses in department of microbiology.
Application of global thresholding in bread porosity evaluation Bosakova-Ardenska, Atanaska
International Journal of Intelligent Systems and Applications in Engineering Vol 3, No 3 (2015)
Publisher : Advanced Technology and Science (ATScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18201/ijisae.30637

Abstract

The white bread is one of most popular food in Bulgaria. Its quality is defined by standards and control is also standardized. The white bread has four groups of quality parameters - organoleptic, physicochemical, chemical contaminants and microbiological. This paper presents one research over white bread porosity which is one of physicochemical parameters. By standard evaluation of bread porosity is time expensive procedure. Current research proposes one fast computer based approach for white bread porosity evaluation. In experiments are used three brands white breads. The images of breads are binarized with four known algorithms and coefficient of diversity (ratio of white pixels and all image pixels) for resulting binary images is calculated. This coefficient corresponds with bread porosity. Experimental results show that one of these algorithms – Vector Median Thresholding, is appropriate for bread porosity evaluation.