Search

In recent years, more and more attention has been paid to dynamic traffic congestion management in order to increase traffic light capacity in urban areas. To this end, a number of adaptive control algorithms have been proposed for individual traf C lamps based on the input speed. However, taking into account the road conditions passing through several intersections in real time, attention was paid to the issue of increasing the traf C light capacity. In this article, we formulate the problem of maximum throughput by considering vehicles entering in different directions. Then we present a new adaptive traffic light control algorithm that maximizes traf C and reduces the waiting time for vehicles at the intersection. The proposed algorithm adjusts the phases and duration of the traf C light signal depending on the real-time road conditions of the main and adjacent intersections. Through SUMO simulations, we demonstrate the effectiveness of the proposed algorithm in terms of bandwidth and average travel time. [ABSTRACT FROM AUTHOR]

Objective. This article is a continuation of the topic raised in the article “Systems with optimal geometric shapes”, published in the previous issue of this journal. The purpose of the study is to develop design diagrams and explanations for them, outline the principles of their operation, design features that provide the necessary seismic resistance.Method. To ensure adaptability, various design techniques are used: switching connections, switching connections, switching connections, buildings and structures consisting of various structural blocks having different frequencies of natural oscillations. Thus, the blocks of the building dampen each other during vibrations, thereby providing the necessary seismic resistance during earthquakes.Result. Structural systems with adaptive properties that impart high seismic resistance to buildings and structures are presented.Conclusion. The design techniques outlined in the article ensure high seismic resistance of buildings and structures, which can be used in the practice of designing and constructing earthquake-resistant systems.

The purpose of the study is to develop the architecture and working algorithm of intelligent relay protection of an electrical network with an isolated neutral. “Intellectualization” of relay protection is necessary to increase its sensitivity and reliability. This problem is relevant due to the accident rate of overhead power lines and incorrect operation of traditional relays. This is due to the fact that the set point is not adjusted according to the deviation of the line parameters with changing environmental and load conditions. The purpose of the study is achieved by solving the following problems: the concept of supplementing an electronic relay with a mechanism for correcting the operation set point is proposed. The use of the digital shadow of the electrical network is substantiated. The digital shadow interrogates the sensor system. The advantage of using a digital shadow as part of relay protection has been proven. This allows emulating faults and estimating currents to correct the setpoint. The most significant result of the study is an example of the implementation of intelligent relay protection using a digital shadow in the form of an artificial neural network. The application of a neural network for approximating the current function of a two-phase short circuit is demonstrated. The significance of the results lies in the improvement of the sensitivity and selectivity of current protection due to the digital shadow for working out emergency modes. The convenience of operating and reproducing a digital shadow in the form of a neural network is noted.

Objective. The aim of the study is to solve the problems of constructing logicallinguistic (fuzzy) models for controlling the trajectory movement of complex dynamic objects.Method. To build logical-linguistic (fuzzy) control models, theories of fuzzy sets and algorithms of L. Zadeh were used.Result. The process of constructing logical-linguistic (fuzzy) models for controlling the trajectory movement of complex dynamic objects using the theory of fuzzy sets and fuzzy algorithms is given. A marine mobile object (MMO) operating in an uncertain environment was used as a control object in the work. It is shown that logical-linguistic (fuzzy) MPO control models can be built taking into account the rich practical experience of a navigator who does not have special knowledge, expressed by them in a qualitative form for building fuzzy control models.Conclusion. Logicallinguistic control models make it possible to ensure the movement of a marine moving object along a given trajectory with a quality of the controlled process sufficient for practical purposes under conditions of various external disturbances and drift of the parameters of the controlled object. The use of fuzzy control algorithms can significantly reduce the cost of computer time compared to the optimal search algorithm with an acceptable deterioration in the quality of the process and ensure the implementation of the control process in real time.

Modern breeding, especially when fruit plants cultivated for decades at the same location are concerned, requires a new strategy to develop cultivars resistant to abiotic limfactors of the environment. A more in-depth analysis of genotype–environment interaction phenomena is needed, as modern studies have shown that the level of plant productivity and yields is determined not by specific “genes of quantitative traits”, but mainly by the emergent (newly occurring when a lim-factor of the environment changes at the ontogenetic and phytocenotic levels) effects of the genotype–environment interaction (GEI). New knowledge is needed about the values of contributions to the productivity of a cultivar made by each of the genetic–physiological systems of plant adaptability (GPS-ad) when exposed to a particular lim-factor of the environment at a particular phase of ontogenesis. For the first time, aiming at finding promising peach genotypes for further breeding, we studied their adaptability to low temperatures in different horticulture zones of Krasnodar Territory.Shifts in the effects of low-temperature environmental stressors in the developmental phases of cultivars (produced by climate change) were analyzed in the time interval of 1985–2018.The presence of hereditary adaptive reserves for increasing peach productivity for each phase of development in the process of studying the phenomena of GEI was disclosed. Recommendations are given to breeders on phase-to-phase breeding of future cultivars: how to protect their production process at each developmental phase from negative effects of low temperatures.

Relevance.The comprehensive assessment of cardiorespiratory coupling (CRC) for the diagnosis of functional adaptation in pulmonological patients is presented.The objective of the study was to test the complex criteria of CRC for objective differential diagnosis of individual adaptive reactions of pulmonological patients.Methods and materials. 30 volunteers without verified pathology and 31 patients with restrictive and obstructive disorders were examined. All subjects underwent physical examination with traditional routine method using spiroarteriocardiorhythmography (SACR) at rest and during performing functional tests with hypercapnia and moderate physical exercise.Results. We proposed the methodology of integrated assessment of multicomponent system of CRC, which increases the diagnostic precision of SACR in the tasks of predicting the adaptive defects of the organism at different pulmonary syndromes.Conclusion. Breathing with a fixed frequency normalizes the regulation of CRC, both in healthy and pulmonological patients. Moderate physical activity (80 W) modifies the indicators of CRC in pulmonological patients in comparison with the control group statistically due to disorders of the heart rate and circulation. During moderate physical activity, stroke volume (SV) statistically decreases in patients differently: SV were significantly lower in the group with obstructive disorders than in the group with non-obstructive disorders.

Object. The object of research is the modernization of the drives of oil pumping units through the use of synchronous motors and adaptive control systems. Field of application: electrical equipment for oil pumping units.The purpose of the work is to identify inventions in the field of electric drives based on Russian highly efficient synchronous motors for oil pumping machines, to determine the advantages and disadvantages of modern developments in this field.Methods. This analysis will reveal the strengths of the drive being developed and most competitively present them. An important point is, and checking the possibility of patenting in this area, i.e. check for patent purity.Results. As a result of the study, the most significant inventions (based on the patent analysis of the Russian Federation) were identified in the field of sucker rod pump control stations, dynamometry, and wattmetry, which are presented in the work, they provide a brief overview, provide basic information and novelty.Conclusion. A literature review showed that the issues of control stations for sucker rod pumps, dynamometry, wattmetry, and the development of synchronous electric motors are rather deeply covered, on the other hand, the literature does not sufficiently reflect the problems of frequency regulation of synchronous motors, as well as the capabilities of intelligent control stations that would allow increase the level of oil production, optimize the technological process, significantly reduce the influence of the “human” factor improve production safetyThus, the need to create a competitive electric drive for oil pumping machines is the use of “smart” control systems that will regulate the operation of the well due to adaptive (based on automatic analysis of dynamograms and wattmetergrams) private regulation.

The article is devoted to the optimal configuration of honeypots in the enterprise network. It describes the mathematical model of an enterprise computer network with honeypots. The authors analyze the standard ways of setting up honeypot parameters and propose the optimization criterion with regard to the dynamics of the external environment. The optimization problem of configuring decoys is reviewed and the solution of the problem is discussed. Also a procedure of searching optimal honeypot configuration is proposed and recommendations concerning practical appliance of the obtained results are given.