The present paper proposes a method for an effective analysis of Romanian folk motifs using two basic algorithms – Radius-Vector function (RV) and Principal Component Analysis (PCA). For a better accuracy of the analysis, a combination of these methods has been proposed. The authors selected few Romanian folk motifs (embroidered on blouses, skirts called “poale”, front aprons called “zadii”, sleeveless vest) from Bihor, Arad, and Maramures Counties. The vectorization of traditional motifs was made by GIS software.

At the current level of science and technology is used semi-automatic measurement of body parts of the bees, yielding images taken with a reference object via a camera or a scanner and then perform measurement by software using a pointing device. There are attempts to fully automated process of measuring the morphological characteristics of bees, at this stage there are conversions for Measuring wings, but this process for other parts are still made by manual way. The informative colour features for the separation of tergite and probotics from background in the image are selected by distance functions and correspondence analysis. Distances are determined between the values of the colour components of the object and background. From statistical analysis is found that appropriate for the separation of an object from background are S and V colour components of the HSV colour model. Algorithms and program in Matlab environment for separating tergite and proboscis from the background of the image and definition of their main sizes are developed. From the analysis of the results is found that the major influence on the accuracy of the measurement is the angle at the disposal of the bee body part in the image.

In the present work, a method for indirect determination of the weight of Japanese quail eggs is proposed, taking into account changes in their internal properties. Visual data and transmission spectra is used. Shape features and spectral indices are selected and applied. It has been found that egg weight M can be predicted by the volume V of eggs and the spectral index GLI, M=f(V,GLI). The resulting model has a coefficient of determination R2=0,89, low error values, up to 3%. Mean square error MSE=0,03 and root mean square error RMSE=0,2. The results obtained can be used to indirect determination the weight of Japanese quail eggs when incubated, packaged.

No abstract

A comparative analysis of models describing the change in yield of essential oil over time is presented in the article. Nonlinear models, third-order polynomial and second exponential model describe with sufficient precision the change of experimental data over time. These models can be used to predict the extraction time of essential oils. The results can be useful in planning and managing the production of essential oils. For this purpose, further research is needed to determine the diffusion coefficient and to analyze the impact of the individual elements of the process on the production of essential oils.

No abstract

Abstract:The color of the crust is a significant feature of bread and bakery products.

In this article a possibility of application of the ultrasonic non-contact method for assessing the quality of yogurt was researched. A prediction assessment was made by an ultrasound based on four parameters – pH, conductivity, fat content, and viscosity. An ultrasonic device was developed to determine the parameters of yoghurt by modified ultrasound sensor available commercially. In order to obtain data for post-processing, a software application was designed for recognizing the ultrasonic signal through the image processing and analysis techniques.<br>The developed algorithms and procedures were applied to determine the distance between the object and the sensor, whereby basic physico-chemical parameters of yogurt could be predicted with the lowest relative error. The working distance was 35 cm for the considered system. The survey results show that the parameters fat content, pH, conductivity, and viscosity of yogurt could be predicted by the proposed system for contactless measurement with accuracy of 94-97%.<br><br>