Predicting the day of storage of dairy products by data combination

Vasilev, M. D.; Shivacheva, Galya; Krastev, K. I.

doi:10.1088/1757-899x/1031/1/012056

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…This improves the accuracy reported by Vasilev et al [16], where the authors indicated a maximum accuracy of 89% in predicting a day of cheese storage. In the present work, by up to 33% the accuracy of prediction of the storage day of cheese, which was reported by Vasilev et al [6], was increased who use data in the visible region of the spectrum. Added the data of Atanassova et al [2], who indicated that by means of data from NIR spectral characteristics (900 -1700 nm), in selected spectral ranges, the determination of basic technological characteristics of cheese is possible with an accuracy of 95%.…”

Section: Resultssupporting

confidence: 59%

“…The mentioned authors found that the use of data in the visible range of the spectrum (380-780 nm) is not appropriate for predicting changes in the surface characteristics of cheese, especially in the early stage of the development of mold fungi. Vasilev et al [6], develop predictive models for a day of cheese storage from three Bulgarian producers. For this purpose, the authors use vectors of color components and spectral indices obtained from spectral features in the VNIR region (600-1100 nm).…”

Section: Introductionmentioning

confidence: 99%

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Influence of unregulated storage conditions on physico-chemical, organoleptic and NIR spectral characteristics of yellow cheese

2023

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In the present work, software and hardware tools are proposed for determining the change in the main characteristics of Bulgarian yellow cheese during storage in conditions not regulated by the manufacturers. NIR images in the 800-1100 nm range of yellow cheese samples from 3 manufacturers were obtained using a GT-903 video camera with the IR-filter removed from the camera lens. Several physicochemical characteristics of the product were determined - active acidity, electrical conductivity and completely dissolved solids. Data from organoleptic evaluation of the product are presented. Using ABC- XYZ analysis, informative wavelengths are selected from the spectral features. Spectral indices calculated as ratios of the reflectance coefficients of selected wavelengths were defined and used to predict the storage characteristics of yellow cheese. It has been found that the shelf life of yellow cheese can be predicted with an accuracy of up to 95%, and the active acidity with an accuracy of up to 88%, depending on the manufacturer. The obtained results can be used for analyzes of yellow cheese during its storage and applied in automatic measurement and control systems, as well as in advisory systems for evaluating the quality of yellow cheese in the different stages of its production, transport and storage.

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Section: Resultssupporting

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Influence of unregulated storage conditions on physico-chemical, organoleptic and NIR spectral characteristics of yellow cheese

2023

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“…When there is a need to predict the values of a grouping variable, discriminant analysis (DA) is a useful technique in multivariate data analysis [29]. This is known as classification or pattern recognition.…”

Section: Classification Methodsmentioning

confidence: 99%

Environmental Monitoring in Bus Transportation Using a Developed Measurement System

Todorov,

Gicheva,

Stoykova

et al. 2023

Urban Science

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Air pollution and travel comfort in public transport is a significant problem as it can cause health problems for passengers. There are no sufficiently developed and researched monitoring systems for measuring the quality of the environment in public transport, which makes it difficult to assess the extent of the problem and implement effective solutions. This study presents the results of measurements made with a developed system for assessing air pollution and environmental quality in urban transport. Two time periods were defined based on air pollution and traffic levels, and informational features were selected for bus stops and buses. Noise was found not to be an informative feature, but vehicle acceleration should be considered in environmental quality monitoring. A quadratic discriminant classifier combined with principal components was shown to accurately classify high and low pollution time periods. Further research is planned to investigate the relationship between air pollution and travel discomfort and to develop effective strategies to improve air quality in urban public transport.

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“…The processing of the survey data was done with the Principal Component Analysis (PCA) method [18][19][20]. It is a multivariate statistical method used to reduce the dimensionality of a data set while retaining most of the variability present in the data.…”

Section: Data Analysis Methodsmentioning

confidence: 99%

Exploring the attractiveness of combinations of natural colors and contemporary shapes in fashion design

Genova,

Ilieva,

Ruseva

et al. 2023

cdatp

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In this research, the attractiveness of combinations of natural colors and contemporary shapes in fashion design is explored. This was done by means of a questionnaire survey. Four shapes of clothing and ten colors obtained from plant and insect pigments are proposed. The research was conducted in two phases – qualitative and quantitative analysis. The quantitative study confirmed the results of the qualitative study and using an appropriate data reduction method, the study results were analyzed graphically. The results showed that users rated designs with high-contrast color and shape combinations as more attractive than those with low-contrast combinations. The study also showed that in addition to the shape of the garment, the choice of natural color sources can also influence consumer preferences. This study aims to overcome the shortcomings of previous studies that only examined color without investigating its relationship to garment shape. The knowledge gained from this study can help fashion designers create garments that are both aesthetically pleasing and environmentally friendly. However, further research is needed to determine the relationship between natural colors, contemporary shapes and consumer behavior in selecting them.

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Predicting the day of storage of dairy products by data combination

Cited by 4 publications

References 4 publications

Influence of unregulated storage conditions on physico-chemical, organoleptic and NIR spectral characteristics of yellow cheese

Influence of unregulated storage conditions on physico-chemical, organoleptic and NIR spectral characteristics of yellow cheese

Environmental Monitoring in Bus Transportation Using a Developed Measurement System

Exploring the attractiveness of combinations of natural colors and contemporary shapes in fashion design

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