In Kazakhstan, according to historical traditions, the diet is dominated by meat products, types and nomenclature of which are quite diverse, however, in this segment there are no new types of meat products that are common on the world meat market, as fast-food products, called meat snacks. Meat snacks differ from traditional meat products in their predetermined functional characteristics, which add nutritional and biological value to them. The purpose of our research was to develop a technology for the manufacture of meat chips using different types of meat (combination) to obtain optimal technological properties of the meat product. The formation and development of the market for domestic meat products such as snacks will expand the capabilities of Kazakhstan's meat industry enterprises in the production of innovative food products, on the one hand, and the growing demand of the population for new meat food products, on the other hand, which makes it expedient to develop meat chips technologies using technological methods that allow maintain the stability of consumer properties of products. As a research methodology, experimental research methods were used, including a statistical sample of raw materials and preparation of samples for research, expert methods for determining the organoleptic properties of products, instrumental methods for determining the physicochemical parameters of finished products.The article presents the results of research on the selection of the composition of raw materials and methods of manufacturing meat chips. The main types of meat were selected, their mineral composition was studied, the ratio of their combination was selected, the consistency optimal for obtaining meat chips, the required size and thickness, temperature conditions for drying semi-finished products were selected. It was found that the combination of three types of meat – horse meat, beef and chicken fillet gives the optimal composition of minced meat, selected as the most convenient form for the formation of dimensional values of meat chips, as well as in consistency, juiciness, taste and smell with a reduction in the time of their manufacture by drying with air convection up to 9 hours. The mineral composition of the initial images of meat showed that they contain trace elements such as potassium, phosphorus, magnesium and sodium. In horse meat content, in weight.% K-29.25, P-16.96, Mg-1.69. Na-4.12; in beef, in weight.% K-31.02, P-13.38, Mg-1.26. Na-4.12; in chicken flesh, in weight.% K-30.27, P-17.94, Mg-1.89, Na-1.89, which indicates the equivalence of all types of meat for these trace elements.
An approach to monitoring the state of the system for ensuring the uniformity of measurements and forecasting its state, based on the method of hierarchy analysis, is proposed. A decomposition of the system for ensuring the uniformity of measurements is proposed, the further processing of the judgments sequence for decision-making based on paired comparisons, is discussed. The processing of experts judgments in order to obtain a generalized judgment is described.
The paper proposes methodological approaches to development of a human-machine interface for the specialized software supporting operator activities of industrial facilities in emergencies. As an example, development of a system is considered to support activities of the oil refinery operators in eliminating various failures and their consequences in accordance with the adopted regulations of the accident elimination plan. Features of the operator actions in the emergency were analyzed, and requirements for the operator support program interface were formulated. The proposed approach is based on introduction of design patterns for human-machine interfaces in the safety-critical systems. Main patterns were analyzed, and recommendations were given on the use of specific patterns in creating a software interface to support the operator actions. Results of the experimental study of possibilities of the proposed software practical application are presented showing significant reduction in the time spent by the operator on actions to execute the emergency response plan requirements and decrease the number of errors. This confirms effectiveness of the developed methodology in practice. As the area for further improvement of the industrial facilities operator actions, it is advisable to consider methods for estimating the operator state according to the data obtained from heterogeneous information channels including speech, analysis of the number of blinks, evaluation of emotions, analysis of the head tilt, direction of gaze and others using the convolutional neural networks of deep learning
The paper deals with the problem of estimating human operator functional characteristics using frequency analysis of operator’s speech. The analysis is carried out using operator’s speech transfer function based on the classical definition of transfer function in the automatic control theory. The algorithms for calculating the operator’s speech transfer function are presented, the experimental results are discussed.
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