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The object of study of this research paper is the processes of changing the properties of three-dimensional surfaces of a user avatar in real time. In the course of this work, the research addressed the limitations of existing solutions for synthesizing three-dimensional user avatars, particularly in terms of realism and personalization on mobile devices. Furthermore, the study tackled the challenge of efficiently adjusting color attributes without compromising the underlying texture information, ultimately enhancing user experience across various applications such as gaming, virtual reality, and social media platforms. A method consisting of three key components is proposed: pre-designed 3D models, multi-layer texturing, and software and hardware implementation. The multilayer texturing approach includes different texture maps, such as diffuse and occlusion maps, which contributes to the smooth integration of texture attributes and the overall realism of 3D avatars. The real-time change of surface properties is achieved by mixing the diffusion map with other texture maps using the Metal hardware accelerator, allowing users to efficiently adjust the color attributes of their 3D avatars while preserving the underlying texture information. The paper presents a software algorithm that uses the SceneKit game engine and the Metal framework for rendering 3D avatars on iOS devices. The result of the developed method and tool is a mobile application for the iOS platform that allows users to modify a digital 3D avatar by changing the model's colors. The paper presents the results of testing the proposed methods, means and developed application and compares them with existing solutions in the industry. The developed method can be implemented in areas such as gaming, virtual reality, video conferencing, and social media platforms, offering greater personalization and a more immersive user experience.

The neural network technology for real-time cryptographic data protection with symmetric keys (masking codes, neural network architecture and weights matrix) for unmanned aerial vehicles (UAV) onboard communication systems has been developed. It provides hardware and software implementation with high technical and operational characteristics. The development of neural network technology for real-time cryptographic data protection was performed using an integrated approach based on theoretical foundations of neural network cryptographic data protection, new algorithms and structures of neural network data encryption and decryption, modern element base with the possibility of programming for the structure, and computer-aided design of hardware and software tools. The development and implementation of the on-board system of neural network cryptographic data protection in real-time are based on the following principles: variable composition of equipment; modularity; conveyorization and spatial parallelism; specialization and adaptation of hardware and software to data encryption and decryption. The tabular-algorithmic method of calculating the scalar product has been improved, it provides fast calculation of the scalar product of input data for both fixed and floating-point by bringing to the largest common order of weights and forming tables of macro-partial products for them. Components of neural network cryptographic data encryption and decryption have been developed on the processor core supplemented by specialized scalar product calculation modules. The specialized hardware for neural network cryptographic data encryption was developed using VHDL for equipment programming in the Quartus II development environment ver. 13.1 and the appropriate libraries, and implemented on the basis of the FPGA EP3C16F484C6 Cyclone III family.

The complexity and high cost of processing associated petroleum gas leads to its inefficient combustion in flares. In Russia, more than 20 billion m3 of associated petroleum gas is burned annually, which leads to the release of up to 400 thousand tons of pollutants into the atmosphere.

Canada is one of the most developed countries in the world. The country is rich in natural resources. The environmental issues of the country play an important role for both the population and the government.

The United Arab Emirates occupies one of the first places in the world economy due to high oil and gas production. At the same time, the rapid economic development of the country entails environmental problems.

This article presents an analysis of the production and consumption of hydrocarbons in Iraq from 2011 to 2021. The main factors determining the growth rates of the country's oil and gas complex are identified.

This article presents an assessment of oil and gas reserves in Venezuela, an analysis of the production and consumption of hydrocarbons in the country for the period from 2011 to 2021. The main problems and prospects for the development of the country's oil and gas complex are determined.

Flavonoids, as representatives of the class of aromatic phenols, in the structure of which have several cyclic groups and form chelates with many metal ions. Quercetin, morin and rutin belong to the group of polyphenolic compounds that actively absorb ultraviolet light and have wide absorption bands with high values of molar absorption coefficients. Quercetin and morin in ethanolic solutions show their own intense luminescence. The luminescence intensity (Ilum) of rutin, in the 3-oxy group of which the hydrogen atom is replaced by rhamnose, is of little importance. In the presence of bovine serum albumin (BSA) Ilum sorbates of morin and rutin complexes increase 2-3 times. This work studied the effect of BSA on Ilum sorbates of flavonoid complexes under the conditions of obtaining the optimal analytical signal. BSA has a slight intrinsic luminescence due to the presence of the amino acid tryptophan in its molecule. The possibility of intermolecular energy transfer in the BSA-rutin (morin) system is due to the overlap of the BSA luminescence spectra with the rutin and morin absorption bands. The study of the luminescent properties of BSA in the presence of flavonoids of different concentrations upon excitation of one component - serum albumin, showed that in the spectrum of its luminescence appear new, characteristic of flavonoids bands of sensitized luminescence. As the concentration of flavonoids grows, the Ilum of the acceptor increases with a simultaneous decrease in the luminescence of the BSA donor, which indicates the intermolecular transfer of excitation energy from the BSA donor to the flavonoid acceptor. The use of sorbents as a solid matrix causes a significant increase in Ilum complexes Y(III) and Sc(III) with flavonoids (up to 100 times). The highest value of Ilum complex Y(III) with quercetin is found on aluminum phosphate and silica gel 100/160, for complexes Y(III) with rutin on dextran-type sorbent Sephadex G-75 and G-150. Similar results were obtained for the Sc(III) complex with morin. It was found that in the presence of albumin in the excitation spectrum of the complex Y(III) – rutin hyper and batochromic shift of the band is observed, which indicates the interaction with BSA with the formation of the complex Y(III) – rutin – BSA. The effect of BSA on the Sc(III) complex with morin has a different character, as the interaction takes place at a low pH value, at which the BSA is not negatively charged and a complex compound with Sc(III) is not formed. The introduction of BSA into the system Ln(III) – flavonoid leads to an increase in Ilum. of sorbates of complexes due to intermolecular transfer of excitation energy from BSA energy donor to flavonoid acceptor. The linear region of dependence of luminescence intensity sorbates of complexes on the concentration of morin is observed in the range of concentrations (0.005-0.02)·10-3 mol/l, for rutin (0.005-0.01)·10-3mol/l, for quercetin – (0.005- 0.015)·10-3 mol/l. The range of determined concentrations is sufficient to determine the content and amount of flavonoids in vegetable raw materials. Keywords: flavonoids; luminescence; yttrium; scandium; quercetin; morin; rutin; albumin.

The existing acceleration measuring methods are analyzed in the article. An overview of modern research on this topic is also provided. A new method of measuring acceleration in the form of an electrical circuit using a stable frequency generator is developed. Among the already known methods, the following three groups are highlighted in the analysis: methods based on compensatory accelerometers with discrete output; methods based on accelerometers with the analog-to-digital converter; measurement techniques, which use mounted elements. The main difference between the proposed method and the existing ones is the use of circuits of two resonant circles with built-in capacitance sensors, developed according to microelectromechanical system technologies. The principle of operation of the acceleration measuring device is described in the article, and its structural diagrams are provided. The peculiarities of the functioning of its components are analyzed. The main advantages of using the proposed method are highlighted. It is described the technical difference of this method from those already implemented ones, which also lies in the presence of an additional transformer. Based on the proposed method of measuring acceleration in the form of an electrical circuit, the operating frequency characteristics of the device are investigated. The stages of conversion of accelerometer signals are described in the article as well as the forms of input and output signals. The use of two resonant circles within built capacity sensors and the stable frequencies generator in the scheme of acceleration measuring device allows for measurement of the frequency characteristics changes in resonant circuits with minimum capacity changes in sensors. The resulting frequency value is linear in the range of the accelerometer frequency due to the frequency characteristics of the first and second resonance circles, which are reversed and symmetrical about the horizontal axis. A feature of the developed new measurement method is the possibility of using this scheme at very low input voltages. Due to the proposed method, it is possible to increase the accuracy of acceleration measurement and expand the working capabilities of the device. In its turn, it allows applying this device in vibration and position variation conditions.

The paper deals with the urgent issue of improving the professional software for text statistical analysis in accordance with the needs of specialists. Peculiarities and prospects of statistical research in linguistics are analyzed and information technology (IT) for determining the statistical profile of Ukrainian-language texts is developed. Complex work on modelling the software system was carried out, it was presented in the corresponding schemes and diagrams, which integrally reflect the functioning and purpose of the developed product. Mathematical and system bases of statistical analysis aimed at automation of professional processing of Ukrainian-language texts, in the context of introducing the offered information technology are considered. The structural scheme of the project decision is constructed and the main requirements for hardware are defined. The components of information technology are developed, and the software system structure is proposed, which is based on the modular principle. Mathematical support for IT has been developed, it is based on the methods of applied statistics and allows determining the main characteristics (statistical profile) of the studied Ukrainian-language texts. In addition, the algorithms and software for IT have been developed using Python. The results of research on Ukrainian-language texts and their statistical profiles are given, it is shown that the developed information technology provides processing of Ukrainian-language texts with a high level of automation. The obtained results can be considered as a contribution to the development of scientific research in linguistics, which creates conditions for the study of authors texts of different styles and the effective use of professional skills and knowledge by a wide range of users. The scientific novelty of the work is that a model of automated determination of the statistical profile of Ukrainian language texts has been developed, which provides an opportunity for a comprehensive study of the corpus of Ukrainian-language texts. The obtained results are also of practical significance, as the structural scheme of IT has been developed, software tools of information technology for automation of the determining the statistical profile of Ukrainian-language texts have been implemented, and the results of text investigation have been analyzed.

The work revealed the need for providing cryptographic protection and immunity to data transmission and control commands when using the mobile robotic platform as well as the importance of taking into account the limitations regarding dimensions, energy consumption and productivity. It was found that one of the ways to meet the requirements of cryptographic protection is the use of neuro-like networks. Their feature is the ability to pre-calculate the weight coefficients that will be used when encrypting/decrypting data. It is suggested that during neuro-like encryption/decryption of data, the key should be generated taking into account the architecture of the neuro-like network (the number of neurons, the number of inputs and their bit rate), the matrix of weight coefficients and the table for masking. It was determined that a neural network with pre-calculated weight coefficients makes it possible to use a table-algorithmic method for data encryption/decryption, which is based on the operations of reading from memory, adding and shifting. Limitations regarding dimensions, energy consumption and performance are analyzed. They can be overcome during implementation by using a universal processor core supplemented with specialized FPGA hardware for neuro-like elements. That is the combined use of software and specialized hardware ensures the effective implementation of neuro-like data encryption/decryption algorithms and management teams. Models and tools for debugging and testing a neuro-like cryptographic system are presented. A model of the preliminary settings of the neuro-like data encryption system has been developed, the main components of which are the former of the neuro-like network architecture, the calculator of weight coefficient matrices and the calculator of tables of macro-partial products. A model of the process of neuro-like encryption of control commands using a table-algorithmic method has been developed. Models for testing and debugging blocks of encryption (decryption), encoding (decoding), and masking (unmasking) of data have been developed, which, due to the use of reference values for comparison, ensure an increase in the quality of testing and debugging of the cryptographic system. A cryptographic system was developed, which, as a result of a dynamic change in the type of neuro-like network architecture and the values of weighting coefficients, mask codes and barker-like code, provides an increase in the crypto-resistance of data transmission. Testing of the simulation model was carried out on the example of message transmission for various configurations of a cryptographic system.

Mobile robots are increasingly used in the most diverse spheres of human activities; accordingly, it is essential to ensure their reliable functioning, which in turn determines efficiency. Using appropriate calculations during design, it is possible to increase reliability and reduce the metal consumption of the machine samples being created. It is crucial that such calculations consider the loading modes in which the vehicle is used. The purpose of the presented work is to increase the technical and operational indicators of the electromechanical drive of mobile robots by selecting the input parameters in combination with the appropriate methods and techniques of design and mathematical modelling. In order to achieve the specified goal, the following main tasks of the research are defined: firstly, to improve the model of increasing reliability and reducing the metal consumption of mechanical components of mobile robots; and secondly, to calculate the mechanical components of mobile robots using the proposed model. Providing the necessary margin of strength with a simultaneous reduction in metal density is necessary for improving the electromechanical drive of a mobile robot and improving its characteristics in general. The paper presents a model and developed an algorithm for increasing the reliability and reducing the metal consumption of mechanical components of mobile robots. The method includes geometric, kinematic, dynamic, energy, technical and economic indicators' calculations, as well as strength and stiffness calculations. The calculations were performed for a small mobile robot with an electromechanical transmission, and the results of a study of the reliability and strength characteristics of the shaft of the mobile robotics platform were presented. The case of turning a mobile robot with the realization of the maximum torque, which is transmitted to one of the tracks, is considered. Based on the kinematic scheme of the electric transmission, a solid-state model of one of its elements (the traction star shaft of the crawler motor) was developed, for which, based on the schematized Serensen – Kinasoshvili diagram, the margin of safety was determined. The proposed model has been examined and successfully used to construct the experimental samples of mobile robots.

Background: The modern stage of the development data protection and transmission systems is characterized by an extension of the application areas, most of which require encryption (decryption) and encoding (decoding) in real time on hardware that satisfy the restrictions on the dimensions, energy, cost and development time. In this connection, the problem of choosing an elemental base for the synthesis of neuro-like structures of symmetric encryption-decryption of data and means of encoding-decoding when transmitting data using noise-like codes becomes especially relevant. Methods: Software implementation of data protection and transmission using noise-like codes involves the use of universal and functionally oriented microprocessors. In the programmatic implementation of neuro-like algorithms for encryption and decryption of data, computational processes are mostly expandable in time with a large volume of information transfer between the RAM and operating devices. Results: In this work were performed series of element base selection simulations and synthesis of DPTS, with various technical parameters. During each simulation, the microcontroller, memory blocks, operating nodes and communication interfaces are selected. The simulation was performed on a MacBook Pro 2015 with a Core i7 processor and 16 GB of RAM. Conclusion: It has been proposed to implement the real-time DPTS using noise-like codes by combining universal and special approaches based on the processor core supplemented by hardware with a table-algorithmic implementation of encryption (decryption) processes. The method of selection of the elemental base for synthesis of DPTS has been improved. A simulation model of element base selection for the synthesis of the DPTS has been developed. The system of synthesis of data protection and data transmission using noise-like codes has been developed.