The article discusses routing options for unmanned aerial vehicles during
environmental monitoring to save battery power and minimize task execution time. It proposed
an algorithm for environmental monitoring using an unmanned aerial vehicle. For its
implementation, the authors developed and justified a network model of work. The article
presents the results of network modelling for environmental monitoring in reconnaissance mode
during the emergency case in the enterprise.
The connection between the state of the territorial technosphere and the ecological
well-being of man is obvious. Modern research is aimed at studying the effect of pollutants on
individual natural systems and do not take into account their complex effects. The assessment is
carried out according to individual parameters, not combined into generalizing indicators
characterizing the state of the territorial technosphere as a whole and not taking into account the
contribution of each. A method for processing measurement information is proposed, which
makes it possible to evaluate the contribution of each impact to the final coagulation index. This
index characterizes the state of the territorial technosphere taking into account the current aspects
and the analyzed criteria and allows, using the method of hierarchy analysis, to determine the
weighting coefficients for each aspect. A feature of the proposed method implementation is the
lack of subjectivity in the ranking of the analyzed criteria due to the use of not subjective expert
assessments, but quantitative values enshrined in regulatory legal acts. The results of such an
analysis are important for setting priorities for the implementation of environmental measures
and ensuring the ecological well-being of man.
The paper contains an analysis of the task of establishing quantitative information reflecting the properties of the observed object. The authors of the article showed that in order to operate, both controls instruments and measuring instruments, it is necessary to form a “Euclidean measure” for the property of the object at the current time. The article describes an independent method for estimating the uncertainty of the state of an object by calculating the entropy of its observed properties. In particular, it is shown that the entropy potential is proportional to the measure of Euclidean space. A description is given of the method for determining the shape of an approximating function for sampling results based on a comparison of the difference between Euclidean measures and measures of the information space formed for entropy potential.
The modern level of development of systems of measurement, processing and data transmission promote creation of optical multiple parameter medical diagnostic systems. One of intensively developed directions is creation of fiber-optical diagnostic systems on the basis of fiber optic sensors. Fiber optic sensors are characterized by high sensitivity to mechanical oscillations of a surface of a body of the patient under power influence of a blood flow. This property creates premises for design miniature, steady against noises, safe sensors of micromovements. Their fixing on a body of the patient allows to reveal a number of the vital parameters characterizing normal and critical condition of the patient. Results of a research of fiber optic sensors of pressure on the basis of standard single-mode optical SMF-28 fiber are presented in article. The principle of operation of sensors consists in use of physical properties of the fiber - the impact which had in some pressure point on throughput characteristic. The purpose of the real work is the research of a possibility of use of fiber optic sensors of the tunnel, flexural and microflexural types on Bragg's grid for control of a pulse wave providing more exact determination of parameters of a pulse wave. The offered monitoring systems of a status of patients on the basis of fiber optic sensors in medicine are very perspective.
Given the high mortality rate from cardiovascular diseases and the need to transfer
medicine to a more high-tech level of development, the authors propose the use of digital twin
technology for the diagnosis and treatment of heart diseases. As a digital twin of the human heart,
it is proposed to use the combination of an equivalent electric heart generator and the of D. Noble
computer heart model within the subsystem for supporting medical decision-making. The use of
such digital twin will make it possible to reliably conduct non-invasive cardiodiagnosis to select
drugs within the treatment regimen.