The article discusses the possibility of using information technologies in the forest industry, for example, the use of aerospace services, geographic information systems, as well as models of virtual enterprises that allow interactive, competent and timely decisions to increase the quality and accuracy of the forest fund and digital production management process. The information model is constantly being transformed by updating its geometry and attributes, replenishing with data generated at all stages of its life cycle and necessary for solving problems by specialists involved at a particular stage. The information model of digital production helps to solve the following problems in training: the training of students with the minimum necessary knowledge about the basics of process modeling in technical systems; promotes the assimilation of basic concepts, laws and modeling methods; contributes to the acquisition of experience important for practice activities: from the goal to obtain the result in the process of solving production problems; the formation in students of scientific thinking, a correct understanding of the limits of applicability of various laws of modeling, and mastery of methods for assessing the degree of reliability of results obtained using experimental research methods on models of production processes.
The article discusses the application of modern biometric methods and systems for identifying persons, exercising control and supervision of the special contingent in correctional facilities. A brief description is given of personality recognition methods, the problems and the need for their use in the penitentiary system of Russia are considered. The article discusses the biometric methods of identifying a person and the appropriateness of their implementation in the penal correction system, the use of an integrated approach in recognizing people in official activities, the problems of using biometric systems in institutions, and the task is to design a model for applying a biometric system in a particular institution. The article considers the need for the active implementation of biometric access control systems at checkpoints and at the premises, as well as the prevention of crimes in sensitive premises and on the perimeter, exists in absolutely all FSIN facilities. However, it is necessary to design models for the use of these tools in a particular institution, including process and functional ones, as well as carefully study all the advantages and disadvantages of each identification method, software and hardware product, in order to assess the possibilities of their implementation.
The article presents data on acidity indicators and chemical composition of high humidity grain in hermetic storage conditions. It is established that by increasing humidity of barley grain fodder its acidity increases with increasing pH value from 5.25 to 4.13, which is explained by increasing content of lactic and acetic acids. During storage the grain did not deteriorate, because the pH value decreases to a certain level (from 5.25 to 4.13). No butyric acid was found in the examined samples and its appearance was not observed during the whole storage period. The content of other acids (lactic acid, acetic acid), as well as their percentage ratio were in optimal quantities, which corresponds to the normative requirements for feeding farm animals. Most of the acids were lactic acid, whose share was 86-93% depending on grain moisture. As the humidity of wheat grain increases, its acidity also increases with the introduction of various additives in the amount of 3% of the mass of raw materials. The number of mineral macro- and microelements in grain slightly increases in comparison with the control variant, which is caused by their higher content in additives. The main part of mineral elements was occupied by potassium, the quantity of which was from 6,53 (variant: mixture of needles and moss, 2%) to 7,93 mg (variant: nettle, 3%). In variants with the use of the studied plant additives, there is a tendency to increase the content of raw protein from 10.72% in the control without additives to 12.72% in variants with meadow grass and 12.84% in variant with pine needles.
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