PROBLEM OF A DISCRETE DATA ARRAY APPROXIMATION BY A SET OF ELEMENTARY GEOMETRIC ALGORITHMS

Context. In this paper, a problem of a discrete data array approximation by a set of elementary geometric algorithms and a recognition model representation in a form of algorithmic classification tree has been solved. The object of the present study is a concept of a classification tree in a form of an algorithm trees. The subject of this study are the relevant models, methods, algorithms and schemes of different classification tree construction. Objective. The goal of this work is to create a simple and efficient method and algorithmic scheme of building the tree-like recognition and classification models on the basis of the algorithm trees for training selections of large-volume discrete information characterized by a modular structure of independent recognition algorithms assessed in accordance with the initial training selection data for a wide class of applied tasks. Method. A scheme of classification tree (algorithm tree) synthesis has been suggested being based on the data array approximation by a set of elementary geometric algorithms that constructs a tree-like structure (the ACT model) for a preset initial training selection of arbitrary size. The latter consists of a set of autonomous classification/recognition algorithms assessed at each step of the ACT construction according to the initial selection. A method of the algorithmic classification tree construction has been developed with the basic idea of step-by-step arbitrary-volume and structure initial selection approximation by a set of elementary geometric classification algorithms. When forming a current algorithm tree vertex, node and generalized attribute, this method provides alignment of the most effective and high-quality elementary classification algorithms from the initial set and complete construction of only those paths in the ACT structure, where the most of classification errors occur. The scheme of synthesizing the resulting classification tree and the ACT model developed allows one to reduce considerably the tree size and complexity. The ACT construction structural complexity is being assessed on the basis of a number of transitions, vertices and tiers of the ACT structure that allows the quality of its further analysis to be increased, the efficient decomposition mechanism to be provided and the ACT structure to be built in conditions of fixed limitation sets. The algorithm tree synthesis method allows one to construct different-type tree-like recognition models with various sets of elementary classifiers at the preset accuracy for a wide class of artificial intelligence theory problems. Results. The method of discrete training selection approximation by a set of elementary geometric algorithms developed and presented in this work has received program realization and was studied and compared with those of logical tree classification on the basis of elementary attribute selection for solving the real geological data recognition problem. Conclusions. Both general analysis and experiments carried out in this work confirmed capability of developed mechanism of constructing the algorithm tree structures and demonstrate possibility of its promising use for solving a wide spectrum of applied recognition and classification problems. The outlooks of the further studies and approbations might be related to creating the othertype algorithmic classification tree methods with other initial sets of elementary classifiers, optimizing its program realizations, as well experimental studying this method for a wider circle of applied problems.

Use of GPS at research of roads & a vehicle

The purpose of this work are consideration of use of GPS for a research of roads and modeling of the vehicle/wheel machines (WM).Implementation for this problem of the measuring registering complex on a basis the Raspberry Pi 3/4 minicomputer, the GN-803G sensor and creation of the software in the language C/C ++ is considered.The obtained information about GPS and approaches of selection of necessary data from the messages on the basis of the NMEA 0183 standard submitted in the text ASCII form with the fields divided by a comma is analyzed. An assessment of opportunities of use of the obtained information is given.The scheme of connection of the GN-803N module to Raspberry 3/4 through the GPIO protocol is developed and proved.Reduction of the obtained data to a constant step with use of a polynom of Lagrange of the 2-nd order on three points of a variable step is considered.It is recommended at further use of this corrected data array in process modeling of the car application of a method of interpolation CatMull-Rom on the 4-th points at the fixed step. Program fragments are given in C/C ++.It is offered in the territory of RB during the determining of relative distances and a binding to cards at conversion it is possible to use the simplified linear formula lat_m= 112297,6196∙ Ddec lat , lon_m= 63215,444 ∙ Ddec lon .The offered technique of application of GPS, software, received data are planned to be used for a research of influence of the driver and road conditions on the movement of the vehicle and the subsequent their application when modeling in Matlab/ Simulink, and also in problems of preliminary debugging of management systems by self-driving vehicles.

The mechanisms of sociopolitical mobilization of youth on the example of Russian, Belarusian and Chinese Telegram channels

The subject of this research is the online and offline mechanisms of sociopolitical mobilization of youth, namely digital grouping and formation of digital communities, as well as the opposition-mobilization model of information distribution developed by E. V. Brodovskaya and A. Y. Dombrovskaya. This model was tested on the open statistical databases provided by “Telegram Analytics” and “Google Trends”, which revealed the key patterns and differences in the protest events that unfolded in Moscow (July 14 – September 29, 2019), Minsk (August 9 – November 19, 2020), and Hong Kong (June 12, 2019 – July 1, 2020). The novelty of this research lies in the following: 1) application of the model of information distribution developed by E. V. Brodovskaya and A. Y. Dombrovskaya to the data array obtained by the author from the statistical database of “Telegram Analytics” and “Google Trends” regarding the protest events in Moscow, Minsk, and Hong Kong; compilation of weekly charts of the activity of protest Telegram channels and building histograms based on them, with visualization of their peak mentioning in other Telegram channels during the indicated periods. The author formulates recommendations on how to avoid the escalation of conflict during protest actions, taking into account mobilization mechanisms on the basis of Telegram channels.

METHOD FOR CALCULATING THE COMPOSITION OF CELLULAR CONCRETE

The analysis of existing methods for calculating concrete compositions was carried out. The characteristics and sequence of the calculation-experimental and experimental-calculation methods for the selection of concrete compositions are provided. The advantages and disadvantages of each of the methods are described. These methods are generalized by the general systemic cycle PDCA (Deming cycle), which is determined by the sequence of actions: P (plan) ‒ D (do) ‒ C (check) ‒ A (Action). It was established that for calculating the compositions of the cellular method there is no universal method, which would ensure the achievement of the required strength and average density at the same time. Based on the above, the aim of the thesis was formulated. The aim of the thesis is to develop a method for calculating the composition of cellular concrete, based on experimental-statistical models, which would ensure the production of concrete with the required properties while minimizing the cost of raw materials. A calculation algorithm, a block diagram and a computer program for designing cellular concrete compositions based on experimental-statistical modeling were developed. Using the example of the specified block diagram for calculating concrete compositions, the sequence of calculations is described in detail. The essence of the calculations is that the three-factor mathematical model of the property parameter of cellular concrete, which is supposed to be guaranteed, leads to a second order equation. After that, the roots of the equation are determined. They are substituted into a mathematical model and the composition of concrete is determined in natural values of variable factors. After that, the cost of the composition is determined, which is entered into the data array. Then one of the factors changes, according to the set step and the cycle repeats. At the last stage, the formed data array is processed and the composition with the minimum cost of materials is determined. Testing of the developed software was carried out by processing and calculating a three factor experiment. As a result, the composition of cellular concrete which provides the required strength of foam concrete with a minimum cost of materials, was determined.

APPLICATION OF THE ADAPTIVE PRINCIPAL COMPONENT EXTRACTION (APEX) ALGORITHM FOR SIGNAL DIMENSION REDUCTION

В работе рассмотрено применение алгоритма адаптивного извлечения главных компонент (APEX) для понижения размерности массива данных. Данный алгоритм является нейросетевым алгоритмом обучения без учителя и использует как прямые, так и обратные связи. Проведено исследование эффективности алгоритма APEX для сокращения размерности сигнала, полученного при поверхностном ЭКГ-картировании. The paper considers the use of the adaptive principal component extraction (APEX) algorithm to reduce the dimension of the data array. This algorithm is a neural network algorithm for unsupervised learning and uses both forward and backward connections. The study of the efficiency of the APEX algorithm for reducing the dimensionality of the signal obtained by surface ECG mapping was carried out.

Solving a task of coordinated control over a ship automated electric power system under a changing load

This paper reports the synthesis of the main processes for the basic control over a complex technical vessel system. The issue related to the semantics of the description and the method for decomposing management tasks has been proposed to resolve in the context of the synthesis of the program to coordinate control over vessel technical systems and complexes with a sophisticated structure. An example of a five-unit ship’s automated electric power system (SAEPS) for the predefined level of generated power, taking into consideration the efficiency criteria, was used to synthesize the algorithms that execute transitions from one level to another while taking into account the pre-emergency and emergency states of SAEPS. The organization of the sequential process of enabling/disabling generator units (GUs) implies developing a program for managing the coordinator's supervisor as part of a distributed two-level hierarchical structure of SAEPS control when the load changes. The sequence of operations to launch, synchronize, transfer the loading, and stop GU is based on the formation of GU optimal composition, the distribution of loads among GUs running in parallel, and the implementation of the program for optimizing the primary engine of the power plant. The reported principles for constructing GU composition control procedures based on the principle of "rigid and flexible" thresholds have made it possible to build a diagram of adjustment of the time delay in enabling GU dependent on the demanded power. It has been proven that the proposed technique improves the reliability of SAEPS operation as it eliminates possible emergency modes when false control combinations are assigned. Databases on the quantity of GUs, their technical condition, loading, fuel consumption, and environmental parameters have been built. The synthesis of control over a five-unit SAEPS has made it possible to determine the algorithmization procedure based on using an extended data array and simplify the functioning algorithm involved in the operations of choosing the structure for a five-unit SAEPS

Cryptocurrency Open Innovation Payment System: Comparative Analysis of Existing Cryptocurrencies

This study was conducted to evaluate the implementation of an open innovation cryptocurrency financial system using a statistical approach. The data array reflects the actual speed of the cryptocurrency system, expressed in transactions per second (TPS), taken as the average annual speed. The article offers a comprehensive approach for choosing the optimal cryptocurrency financial system. The final analysis shows that the reasons for the adoption of the cryptocurrency financial system are practicality and convenience, as well as efficient transaction time, faster payment, and simplicity of the payment process. The impact of social factors, expected efforts, and conditions of assistance on the attitude to the cryptocurrency financial system were evaluated. In addition, social factors that have a significant impact on the implementation of the cryptocurrency financial system were identified.

MODEL OF CHOOSING A MINI-EXCAVATOR FOR ROAD CONSTRUCTION WORK ACCORDING TO MANY CRITERIA

Problem. Currently a steady growth of mini-excavator market is observed in Ukraine. Due to the compactness and versatility in exploitation mini-excavators are used for carrying out building, municipal, road and other types of works. However, in modern conditions there is a problem of the reasonable choice of a mini-excavator using the criteria of necessary functionality and economic efficiency. This problem can be solved only on the basis of analysis of the data array on machine samples available on the market using modern information technology. The aim of the work is to increase the efficiency for the process of choosing a mini-excavator by developing a multi-criteria choosing model, which will reduce the time of scientifically grounded selection. Methodology. Utility theory methods and multi-criteria decision-making methods are used to select mini-excavators according to many functional and cost criteria. The results obtained. The main parameters of mini-excavators that impact their choice are considered. A model for choosing a mini-excavator based on many functional and cost criteria and limitations has been developed. The model developed belongs to the problems of multi-criteria linear discrete programming with Boolean variables. Practical value. The use of the developed model for choosing a mini-excavator based on many functional and cost criteria will allow to make a scientifically grounded choice.