Influence of different feature selection approaches on the performance of emotion recognition methods based on SVM

In this paper we evaluate performance of modern emotion recognition methods. Our task is to classify emotions as basic 8 categories: anger, contempt, disgust, fear, happy, sadness, surprise and neutral. CK+ dataset is used in all experiments. We apply Adaptive Boosting and Principal Component Analysis for dimensionality reduction and Support Vector Machine for classification. Size of train dataset is increased by use of few frames of sequences instead of one and vertical mirroring of faces. All images were normalized with mean centering and standardizing. In total 4428 images were used in experiment. The proposed method can work in real time and achieved average accuracy higher than 95%

Universal computer vision system for monitoring the main parameters of wind turbines

The article presents universal autonomous system of computer vision to monitor the operation of wind turbines. The proposed system allows to estimate the rotational speed and the relative position deviation of the wind turbine. We present a universal method for determining the rotation of wind turbines of various shapes and structures. All obtained data are saved in the database. The presented method was tested at the Territory of Non-traditional Renewable Energy Sources of Ural Federal University Experimental wind turbines is produced by “Scientific and Production Association of automatics named after academician N.A. Semikhatov”. Results show the efficiency of the proposed system and the ability to determine main parameters such as the rotational speed, accuracy and quickness of orientation. The proposed solution is to assume that, in most cases a rotating and central parts of the wind turbine can be allocated different color. The color change of wind blade should not affect the system performance

Remote photoplethysmography application to the analysis of time-frequency changes of human heart rate variability

In this article we present the possibilities of using remote photoplethysmography (rPPG or imaging PPG) technology to estimate time-frequency changes of human heart rate variability. We propose improvements for algorithm presented in our recent study. Algorithm modification allows to exclude skin areas with highly variable levels of lighting, thus reducing noise level and increasing duration of signal suitable for processing. Twenty healthy volunteers (males and females) aged from 20 to 25 took part in this investigation. The blood volume pulse rate estimated from the rPPG rhythmogram and cardiac pulse rate estimated from the electrocardiogram are compared. The results showed that the very low frequency hemodynamic oscillations of blood volume pulse rate estimated from the rPPG rhythmogram in the [0.04-0.003] Hz frequency band can be used to monitor functional changes of a human

Improving the efficiency of corporate management of agricultural enterprises

Financial indicators play an important role in the management of an agricultural enterprise. the tasks of the management of the agricultural enterprise are to control the efficiency of employees and maintain the financial stability of the enterprise. In this paper, the problem of ensuring effective management of an agricultural enterprise was investigated. The activity of an agricultural enterprise depends on the influence of external factors: political and legal, technical and economic, ecological and economic, demographic, socio-cultural. We studied the question of how to take into account the influence of variable external factors in the management of an agricultural enterprise. Traditional methods based on financial analysis data, in our opinion, do not fully reflect the situation in the agricultural enterprise. International management accounting standards are optional, but they allow for the use of more flexible indicators in management accounting that take into account the activities of a particular agricultural enterprise. This will facilitate short - and medium-term planning at the agricultural enterprise and facilitate the achievement of the enterprise’s tactical and strategic goals

Universal computer vision system for monitoring the main parameters of wind turbines

The article presents universal autonomous system of computer vision to monitor the operation of wind turbines. The proposed system allows to estimate the rotational speed and the relative position deviation of the wind turbine. We present a universal method for determining the rotation of wind turbines of various shapes and structures. All obtained data are saved in the database. The presented method was tested at the Territory of Non-traditional Renewable Energy Sources of Ural Federal University Experimental wind turbines is produced by “Scientific and Production Association of automatics named after academician N.A. Semikhatov”. Results show the efficiency of the proposed system and the ability to determine main parameters such as the rotational speed, accuracy and quickness of orientation. The proposed solution is to assume that, in most cases a rotating and central parts of the wind turbine can be allocated different color. The color change of wind blade should not affect the system performance

Universal computer vision system for monitoring the main parameters of wind turbines

The article presents universal autonomous system of computer vision to monitor the operation of wind turbines. The proposed system allows to estimate the rotational speed and the relative position deviation of the wind turbine. We present a universal method for determining the rotation of wind turbines of various shapes and structures. All obtained data are saved in the database. The presented method was tested at the Territory of Non-traditional Renewable Energy Sources of Ural Federal University Experimental wind turbines is produced by “Scientific and Production Association of automatics named after academician N.A. Semikhatov”. Results show the efficiency of the proposed system and the ability to determine main parameters such as the rotational speed, accuracy and quickness of orientation. The proposed solution is to assume that, in most cases a rotating and central parts of the wind turbine can be allocated different color. The color change of wind blade should not affect the system performance

Universal computer vision system for monitoring the main parameters of wind turbines

The article presents universal autonomous system of computer vision to monitor the operation of wind turbines. The proposed system allows to estimate the rotational speed and the relative position deviation of the wind turbine. We present a universal method for determining the rotation of wind turbines of various shapes and structures. All obtained data are saved in the database. The presented method was tested at the Territory of Non-traditional Renewable Energy Sources of Ural Federal University Experimental wind turbines is produced by “Scientific and Production Association of automatics named after academician N.A. Semikhatov”. Results show the efficiency of the proposed system and the ability to determine main parameters such as the rotational speed, accuracy and quickness of orientation. The proposed solution is to assume that, in most cases a rotating and central parts of the wind turbine can be allocated different color. The color change of wind blade should not affect the system performance

The role and importance of financial results in the effective management of an agricultural enterprise

Currently, in all regions of Republic of Belarus much attention is paid to improving the functioning of agricultural enterprises. Due to the fact that their level of liquidity and profitability to a large extent becomes dependent on the current state of the state food market, its ability to meet the needs of legal entities and the population and the ability to purchase high-quality agricultural products have a great influence on agricultural export growth indicators and dependence countries from food imports. In view of this, the concepts of financial results and their role in the development of the activities of an agricultural enterprise are disclosed in this article. The relevance of the topic of this study is due to the fact that at this stage of the development of agriculture in the Republic of Belarus, not only a significant amount of state assistance to agricultural enterprises plays an important role, but also an increase in the efficiency of the agricultural enterprises themselves, an increase in their added value and their products

Universal computer vision system for monitoring the main parameters of wind turbines

The article presents universal autonomous system of computer vision to monitor the operation of wind turbines. The proposed system allows to estimate the rotational speed and the relative position deviation of the wind turbine. We present a universal method for determining the rotation of wind turbines of various shapes and structures. All obtained data are saved in the database. The presented method was tested at the Territory of Non-traditional Renewable Energy Sources of Ural Federal University Experimental wind turbines is produced by “Scientific and Production Association of automatics named after academician N.A. Semikhatov”. Results show the efficiency of the proposed system and the ability to determine main parameters such as the rotational speed, accuracy and quickness of orientation. The proposed solution is to assume that, in most cases a rotating and central parts of the wind turbine can be allocated different color. The color change of wind blade should not affect the system performance

Monte Carlo simulation of aging phenomena in multilayer magnetic structures

A Monte Carlo simulation of the non-equilibrium behavior of multilayer magnetic structures consisting of alternating magnetic and nonmagnetic nanolayers is realized. The calculated two-time autocorrelation function for the structure during its evolution starting from high-temperature initial state is analyzed. The analysis reveals aging effects characterized by a slowing down of correlation characteristics in the system with increase of the waiting time. The dependence of aging characteristics on thickness of ferromagnetic films is investigated. It is shown that, in contrast to bulk magnetic systems, the aging effects in magnetic superstructures arise not only at the ferromagnetic ordering temperature Tc in the films but also within a wide temperature range at T ≤ Tc