This research work analyzes the conditions of influence of meteorological and climatic factors on the level of atmospheric pollution that contribute to atmospheric self-purification from pollutants in industrial centers, on the example of Ust-Kamenogorsk. Methods are considered for calculation of meteorological dispersion potential and self-purification of the atmosphere from pollutants. In accordance with climate data, there are calculated the parameters of climatic dispersion potential of the atmosphere (СPA) and the coefficient of atmospheric self-purification (K) in Ust-Kamenogorsk. According to the results of the research, it is concluded that the calculated average annual parameters of СPA and K in the climatic aspect of the studied region characterize extremely unfavorable conditions for the dispersion of impurities in the air environment of Ust-Kamenogorsk. This work contributes to further analysis of the regional assessment of the atmosphere ecological state in a large industrial center.

The article discusses the issues of taking into account the features of the geomechanical state of the rock massif in the complex conditions of foothill area to solve the actual scientific and practical problem of studying the negative effects of geomechanical processes on the stability of structures and safety of sports facilities of national and international importance. It was noted that one of the main reasons for the increase cases of deformation in engineering objects is insufficient study of processes of development of dynamics of surface soils shift and change in the physical and mechanical properties of rocks. In this regard, an analysis was carried out of engineering and geological features of the rock massif on the territory of the international complex of ski jumps "Sunkar". It was established the development of geomechanical processes on the territory of the object, leading to deformation of the base and structures of the ski jumps, which determines the need for high-precision geomonitoring measurements.

This article explores the Progressive Web Application web development technology. It also explains what this technology is and its purpose. The paper also compares progressive web applications with other closely related web technologies such as adaptive websites and native applications. This highlights the most important differences and similarities between them. In addition, the paper discusses the benefits as well as possible limitations of this technology. Progressive web applications, or PWAs, are applications built using web technologies such as HTML, CSS and JavaScript. But they have the feel and functionality of a true native application. A native app is a software application created in a specific programming language for a specific device platform - iOS or Android. Thanks to modern technology, almost any website can be turned into a PWA. This means that you can quickly create a PWA compared to a native app, which is quite difficult to develop. PWAs have been gaining popularity lately. Many websites of large companies are PWAs - for example Twitter, one of the most common social networking platforms.

Most electric vehicles have a range of less than 300 miles, take more than an hour to recharge the battery, lose almost one-third of their cell capacity over 10 years, and pose a serious safety risk when handling flammable materials, resulting in an explosion. This article discusses the various types of electric car batteries, their operation, advantages and disadvantages. Solid-state batteries – the battery technology of the future, one of the most active areas of research of secondary batteries. The scientific community believes that lithium-ion batteries have reached their limit, solid-state batteries in recent years are seen as batteries that can inherit the state of lithium-ion batteries. The article presents the trend of introduction and widespread use of solid-state batteries in modern electric vehicles.

The article considers the technology of utilization of waste in special furnaces, the waste heat, which is a two-stage combustion of low-quality fuel resources and their involvement in technological operations of public utilities of towns and cities, in winter, when it is necessary to remove snow from the streets. The technology of the combustion process of fuel and lubricants waste assumes complete combustion and ensures low emissions of NOx and СО with using special burners and also providing the combustion, the liquid phase fuel and the gas-air mixture. The process obtained by pyrolysis in the burner device is characterized by the fact that combustion of low-grade fuel and gasification of combustible components occur separately. The results of experiments on the combustion of waste oils in a special waste furnace showed that in the first stage the temperature on the surface of the steel body reached T1= 550oC, and in the second stage T2= 900oC. The determination of the temperature values was carried out by comparing the accepted color of heat characteristics of steel.

Digital technologies exist in almost all areas of human life. The volume of data recorded in global warehouses increases every second, which means that the conditions for storing information change at the same rate, and new opportunities must appear to increase its volume. The introduction of big data technology is a new step in scientific and technical development in various sectors of society. Despite the fact that big data technology is at the initial stage of development, it has achieved high results in the field of Information Technology. There are no universal methods for processing big data, but they allow you to use different methods to partially solve the problem. Successful use of Big Data Increases work efficiency several times. Currently, Big Data Processing is focused on the effectiveness of using new technologies. The article discusses methods and approaches to working with big data, emerging complex problems and the importance of using big data in a distributed Information System, Functional Requirements for a distributed information system that supports scientific and educational activities, and the big data architecture that supports scientific and educational activities of a distributed information system.

Traffic control and coordination is an important feature on today's busy roads. Typical traffic lights switch from a fixed time to those based on a variety of sensors. Some weaknesses were identified when considering these various approaches. In this article, we offer intelligent dynamic traffic lights that can adapt their signaling time (for example, changes from green to red and vice versa) according to traffic density, using information about the arrival direction and leading time transmitted from mobile phones transmitted by car drivers, smart antennas installed on cellular base stations. Analysis of the simulation shows that the proposed system can reduce the queue delay by 22%. Therefore, this approach will reduce fuel consumption and environmental pollution by 22%, avoiding the queue at the traffic lights. On this architecture, we define and evaluate an adaptive light control algorithm using simulation. Based on two main objectives, this algorithm dynamically determines the sequence of green lights by selecting the movements that make up each phase and its duration. The simulation results show that this algorithm, if properly configured, is able to reduce the average waiting time at the intersection. The development of modern digital technologies, information exchange and the use of intelligent control systems in the automotive industry has led to a significant change in scientific, technological and practical approaches to the organization of optimal road traffic in densely populated cities.

The article presents the results of a comparison of partial values of the carrying capacity of piles obtained by static and dynamic tests. The tests were carried out for driven piles, cross-section 30x30 cm. The complex of investigations is represented by more than 150 pile soil tests carried out in accordance with the requirements regulated by GOST 5686. On the basis of the results we analyzed convergence of the compared test methods and statistical analysis of data. The results of the analysis have shown that all obtained private and average values of bearing capacity are acceptable and have a close relationship with each other. The research is of practical importance for further construction of the oil and gas complex. The revealed regularities will allow to make correction of dynamic express method results in relation to a static method, which is considered to be a reference one. A large number of obtained private values of bearing capacities provides statistical reliability of the obtained results.

To improve the reliability of digital transmissions, error correction codes are used in each digital communication system. New encoding schemes are currently being developed to meet new data rate or reliability constraints. Therefore, digital communication systems are in constant development. In a digital communication system the use of an error correction code is mandatory. The error-correcting code allows you to get good resistance to channel quality degradation. The article presents an analysis of the digital communication system. The article describes the purpose, structure, and blocks on which information transmission is based. Channel encoders are considered to describe a technique for correcting errors in a communication channel. The encoders introduce some redundancy into the binary information sequence, which can be used by the channel decoder in the receiver to overcome the effects of noise and interference that occur when the signal is transmitted over the communication channel. The paper describes the algorithm of the convolutional error correction code in a digital communication channel, and analyzes the main performance indicators of convolutional data encoding. The article illustrates the operation of the convolutional encoding algorithm with a data transfer rate of 1/2.

A mathematical formulation of the problem of controlling the reforming process in a fuzzy environment has been formulated and obtained, and a heuristic method for the task has been developed based on the modification of the principles of absolute (relative) assignment and Pareto optimality. The proposed fuzzy approach to solving the control problem in a fuzzy environment is based on the involvement of a decision maker, i.e. his knowledge and experience in the decision-making process for process control in a fuzzy environment. In this case, the experience, knowledge, intuition and preference of the decision-maker, as a rule, is expressed in the form of fuzzy information. The mathematical formulation of the reforming process control problem is concretized for the case of one criterion (gasoline yield) and a vector of fuzzy constraints, when the yield of other minor products (hydrocarbon gases) can be ignored. The specific task of controlling the reforming process is solved using the proposed heuristic method. The results obtained are compared with the known results obtained on the basis of a deterministic approach and real data. The advantages are shown and the effectiveness of the proposed fuzzy approach to solving the control problem in a fuzzy environment is substantiated, which, when solving the problem, takes into account and makes the most of the initial fuzzy information. The novelty of the proposed approach to the formulation and solution of the control problem in a fuzzy environment lies in increasing the adequacy of the decision made based on the use of the experience, knowledge and intuition of the decision maker.