International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

The study of the theoretical aspects of the development of innovative business has proved that the most effective form of innovative business, which can create and implement the final product, is a startup. The environment and infrastructure of a startup form its ecosystem. An innovation ecosystem includes economic agents, as well as an innovation environment consisting of ideas, rules of the game, social interactions, and culture. The state of the innovative business and the startup ecosystem of Ukraine behind its main components and institutions are analyzed, and the factors of the development of the startup ecosystem for its competitiveness among the world are determined. Government measures and initiatives should promote the emergence of a community of startup founders who will work closely with other actors in the private sector of the economy and the public sector. At the same time, the state should not assume the role of a leader, but only an initiator.

The aim of the research is to develop a database management system for collecting, processing, storing and using information for the teaching of PhD students at a university using the high-level Python language.
Studied and researched in the process of development are the main characteristics of the most widely used database management systems. The practical aspects of the design, creation and use of databases were analysed. Has been formulated the requirements to the functional capabilities of the developed database. For the development of the web-application was used Python programming language. The database model, the user interface and a set of reports were developed. A physical data model, oriented towards the design and the development of a database management system using the Python programming language was proposed. The main risks and threats to the security of information in the web-application are characterized. Guidelines for infrastructure protection are proposed.

In this paper the physical model for high pressure water atomization of metal melts using hydraulic nozzle of a vortex type was proposed. The developed model assumes, that due to high speed water flow with significant centrifugal component of its velocity vector the rarefaction is formed, which causes intensive air suction leading to the formation of rotating gas (vapor-air) layer of toroid-like shape, providing a gap between the water flow and the metal stream. Thus water stream is separated from the heated surface of metal stream and the formation of particles during crystallization of melt droplets occurs due to surface tension mainly in this vapor-air layer. The cooling of melt droplets in the gas-water leads to the formation of spherical powder particles. The proposed model correlates well with the known experimental data on the production of spherical powders using a vortex-type annular hydraulic nozzle.

In this paper, it was proposed the experimental identification of the mathematical model of the DC motor, coupled with a reaction wheel. It was proposed to approximate the experimental curve with the mathematical model of order 2 inertia, identified by Genetic Algorithm. To estimate the mathematical model of the control object it was proposed to use the Genetic Algorithm method, the results obtained were compared with the Strejc methods and the results obtained using the Process Models module from System Identification Toolbox from MATLAB.

The purpose of the study is the problem of forming a specialist knowledge model. Its relevance is related to the need for an adequate response to strengthening the scientific and technological progress dynamics and the transition to the information interactions economy. The research analyzes the consequences of Russia’s entry into the Bologna Convention on education. According to the principle of institutional autonomy, solution of these problems is the responsibility of universities. The paper shows that the way to solve these problems is to transfer universities to a design and technological type of administration. The most promising form of education project management is the model of information interaction within the framework of active self-developing network expert environments. Integration in the natural intelligence network structure forms a collective strategic subject, which is a tool of a knowledge and action synergy in the interaction process. The paper describes the developed structure of the active self-developing network expert environment when forming a specialist knowledge model. It is proposed to consider the construction of specialist’s knowledge model in the context of corporate knowledge management strategies in organizations to increase competitiveness as the established support systems for organization knowledge lifecycle and specialist’s integral knowledge model are used to integrate strategic corporate tasks with strategic tasks of developing employees’ corporate knowledge. They consider a specialist as an element of a company production system. His purpose is to give a product specified quantitative and qualitative parameters that ensure its competitive advantages. To carry out production activities, a specialist uses a complex of abilities, knowledge and skills that should be considered as models of his production and technological activities. At each moment, this complex should be considered as a subjective model of its production and technological activity. This creates a basis for a university self-development process by involving advanced consumers using network technologies in the innovative process of improving educational services, receiving ideas or content by referring to their creative abilities in exchange for a reward that corresponds to a contribution. The paper proposes a system that provides a direction for finding solutions and ideas, as well as filtering, summarizing information, determining its value and prospects. It is shown that the method of improving the quality of solutions on an educational project is the synthesis of crowdsourcing technologies, network expertise and the methodology of the active systems theory.

The dynamics of the environment in which businesses operate underlines the need for new tools and approaches to management engineering. There has been recently a growing interest in finding comprehensive solutions covering all aspects of the entire business management. Besides, with a more pronounced customer-centred focus of the company, the competition now takes on a brand-new character considering the fact that the rivalry is not between individual companies, but between entire chains of manufacturers and suppliers. The research study focuses on the need for innovative engineering solutions in response to company’s management processes. A network approach has been proposed as an opportunity to implement the reengineering of external processes (Х-engineering). Moreover, such a proposition is strongly substantiated by the fact that modern companies are prone to expand their activities in the (cyber) space, working together in different types of business networks (Businessnetwork-BN).

The simple model of grain and phase boundaries diffusion into polycrystalline solid system with micro grain dimensions is proposed. There are considered different types of diffusion regimes which are realized by definite correlations between volume and grain boundary diffusion lengths and average grain sizes.

In this paper, a simulation model of the novel concept of autonomous vehicles is developed for public transport (PT) service. The model aims to serve PT planners as a tool enabling the simulation of a metro-like, high-frequency service with punctual autonomous vehicles running on exclusive lanes. The model was applied in a numerical example of a passenger bus, with different scenarios employed. The outcome of the simulation shows that characteristics of the modelled system are reproduced, with the following results: (i) highfrequency, metro-like PT service, with reduced passenger waiting time, (ii) reduced vehicle capacity with reduced average dwell time; (iii) the least number of unserved passengers, across all scenarios, and (iv) better utilisation of vehicle capacity (with fewer unserved passengers) achieved through a small decrease in vehicle frequency, which led to a negligible increase of the average passenger waiting times. In addition, the model allows us to examine the system’s behaviour under uncertainty, considering passenger arrivals and vehicle headways as random input variables with predefined probability distributions. The proposed model enables modellers not only to evaluate a system’s performance, but also to examine different working conditions and possible future scenarios.

In order to establish this model, several independent variables of aggregate level and dependent variables have been taken into account for traffic production of a region for a period of 24 hours. The objective of this paper is to identify and estimate the main variables which are significant for development of a suitable model for forecasting the traffic production for Anamorava region. Establishment and assessment of a model will be done using techniques such as Multiple Regression Analysis (MRA) and Radial Basis Function Neural Network (RBFNN). The results gained according to these two techniques will be compared to find out differences. In this regard performance analysis through indicators R², ME, RSME which are also used to show errors in forecasting. The results are in favour of RBFNN model because it performs better than MRA in forecasting traffic production.

The paper considers the problem of modeling agent’s choice, which allows explaining made decisions, as well as predicting possible options. The approach is based on the ideas of a subjectively rational choice. The subjectively rational choice supposes that a choice motivation is determined by external and internal factors. Internal factors represent the interests of a subject induced by his needs and ethical system he follows. External factors are induced by accepted obligations. The agent can estimate his satisfaction with the current goal-seeking state situation. The estimation might lead to changing a structure of interests, so the agent can choose it. The paper shows that when making decisions the agent uses three sets of alternatives as follows: controlling, structural and identification. This supposes the existence of three virtual sides, which choose relevant alternatives. The selection rules for such alternatives depending on subject’s awareness of the situation and the structure of his interests are formed by finding a compromise.

A fuzzy model for determining the morbidity rate of employees of a refinery with diseases of the respiratory organs is analyzed on the basis of an analysis of the concentrations of pollutants in all occupational environments using a mathematical apparatus of fuzzy sets. The results of visualization of the developed fuzzy model in the MATLAB Fuzzy Logic Toolbox medium are presented.

The paper considers the need for designing a dispenser for automated delivery of concentrated feed of small ruminants. Provides an analysis of the criteria for choosing optimal of auger conveyor parameters to ensure the required dosing accuracy for the specific purpose.