E-LEARNING: DEVELOPING TOMORROW'S EDUCATION

E-learning refers to the term to deliver education or training using digital resources. Computer-based learning, which is considered the keystone of today's E-learning concept, was born in the 80s. Earlier E-learning provides education using only text as with the development in technology it allows adding various forms, i.e., Graphical Text, Images, Video Conferencing etc. In today's time, the concept of is E-learning growing at a rapid pace. Improved bandwidth and growing technology helped in pushing the expansion of E-learning. Along with the university, large corporate companies are also resorting to E-learning. E-learning provides many advantages as compare to Instructor-led training (ILT). E-learning saves the times of travel as physical presence is not required. Education can be provided from anywhere at any time. E-learning is cost-effective also as the course, once developed, can be modified easily. There can some concern which can be faced by the trainer and leaners in future. Adopting E-learning will be a step towards saving the environment. It will be environmentally friendly as tablets will replace books; paper notes will be replaced with digital messages. Digital tools will help to reduce the burden of a student. Artificial Intelligence is a prevalent concept in computer science. A branch of AI, known as a Neural Network, is based on the human brain. The research's main aim is to review existing methods and analyse further possibilities of E-learning systems with neural networks.

SCIENTIFIC BASES FOR STOCK MARKET FIASCO FORECASTING TECHNOLOGY WITH USE OF INFORMATION SPACE ENTROPY

The article contains a theoretical study and description of general algorithm for predicting a stock market fiasco caused by non-financial and other factors. Market fiasco is considered as non-periodical, sudden and random event which can arise due to the many latent reasons. Methods of technical and fundamental analysis are useless to solve this problem, therefore, the use of systems analysis methods is proposed. The author’s idea is the numerical calculation of search queries entropy as a part of global information space. Decrease in the Renyi’s entropy, associated with rapid grow search queries, containing key terms from the subject area, indicates the possible stock market fiasco in the near future. This article presents an algorithm for the dynamic calculation of Renyi’s entropy, allowing predict rare events which are not reflected in statistical data (or frequency of their realizations is too small). The method and algorithm can be realized in trade information systems and decision-making systems in economic sphere.

ENTERPRISE MANAGEMENT IN THE CONTEXT OF EXPANDING THE SCOPE OF BLOCKCHAIN TECHNOLOGY

The method of creating an automated enterprise management system is considered. The method is based on the ideas of the imitation approach and fuzzy mathematics. Real-time enterprise planning is the goal. The method is relevant in the context of setting up the market for goods and services with the expansion of e-commerce. The model of the formation of the plan of the enterprise for the execution of the orders received is considered.

CONCRETE, REINFORCED BY CARBON FIBRE COMPOSITE STRUCTURE, LOAD BEARING CAPACITY DURING CRACKING

Different authors conducted studies on fiber reinforced concretes (FRC) with carbon fibres of different lengths and some results showed that concrete mix with homogeneously distributed short fibres in their volume have good strength and ultra-strain compared to normal plain concrete mix. However, this study is focused more on 3-dimensional (3D) carbon fibre reinforced plastic (epoxy) CFRP composite thin rods frame used as a reinforcement in concrete which shows good increase in loadbearing and ductility. Were investigated concrete mixes with superplasticizer, nano-silica, quartz sand, fine natural sand and gravels. Diagonal cross bracing carbon fibre epoxy frames were used as a reinforcement giving better ductility results. Proposed study approach is to show that the reinforced concrete with provided materials have an increased performance in terms of ductility, sustainability, and load bearing in cracked statement. Total, four groups of concrete and each group with three beams were casted and tested in this experiment, three groups with three different shapes of carbon frames and three beams without frames to compare the mechanical properties after 28 days. Failure mechanisms in any particular case were analysed.

RESEARCH OF APPROACHES TO CONSTRUCTING PREDICTIVE MODELS OF THE SPREAD OF VIRAL DISEASES

The article is devoted to the analysis of the available mathematical models in epidemiology and the possibility of their modification. We note that the situation with the COVID-19 virus pandemic is characterized by several features not comprehensively studied in the existing models. For a rational response to existing challenges, it is necessary to have a predictive and analytical apparatus in the complex (national and regional scale) mathematical models with a planning horizon of 2 years (the expected period of mass production of vaccines). The article discusses the existing approaches to predicting the spread of the COVID-19 virus in Russia based on mathematical models of epidemics. The possibilities and limitations of the proposed approaches are considered. In the conditions of the Russian Federation, transport connectivity at the interregional and intraregional levels plays an important role, and for megalopolises - transport flows within large agglomerations and the age structure of the population. In contrast to previous pandemics and epidemics, public policy plays a significant role. The approach, which consist in building multi-agent models that combine the advantages of compartment models and models based on the Monte Carlo method (individually oriented) is proposed by the authors. It is planned to use compartment models to assess the dynamics of the process and individually-oriented models - at the level of individual territories and districts.

ENHANCED PARTICIPANTS' REGISTRATION MODEL ON OPEN PUBLIC EVENTS

The Digital transformation (DT) has challenged most of the Event Management (EM) services at a time when organizers of open public events still faced a lot of manual operations upon registration of the public event’s participants. This survey demonstrates a model to increase a level of digitalization and use of technology, with increased self-service level for registered participants and digital data transfer. The model is based on outcomes from the series of several case studies, practical tests and research activities in Latvia, Albania, and Germany. The paper examines different ways how organizers are able to innovate their routine activities and encourage the broader public to learn and use various digital technologies: Radio-frequency identification (RFID), Near-field Communication (NFC), Quick Response (QR) codes and Mobile apps with a purpose to link the physical and the digital world in the one coherent model. In this research the major part of event management process modelling had been done by Business process Model and Notation (BPMN2) approach. The approach proposed by authors aims to reduce the costs and workload of organizers associated with participants’ registration in open public events where preliminary registration is still practically impossible or forbidden because of personal data protection issues.

ENGINEERING MASTER STUDENTS‘ VIEWS ON DIGITAL ENTREPRENEURSHIP IN A HOST EUROPEAN COUNTRY

The importance of engineering education in promoting engineering students’ entrepreneurial attitudes and behaviours now is widely recognised. The aim of the research is to explore international engineering Master students’ views on digital entrepreneurship in a host European country underpinning the elaboration of implications for engineering education in a host country. The research methods imply the use of both - theoretical and empirical - methods. Theoretical methods included analysis of scientific literature, theoretical modelling, systematisation, synthesis, comparison, generalisation. The empirical study was carried out in Germany in February 2021. 32 engineering Master students took part in the online survey. The online survey was based on the online questionnaire. The obtained data were described with the use of percentage, standard deviation and weighted average. The data description was followed by data interpretation and summarization. The use of the theoretical methods allows identifying that digital entrepreneurship is a supplement to traditional settings entrepreneurship proceeds in. The theoretical research resulted in the conceptual framework built of engineering student’s intention to become a digital entrepreneur, the use of the host country language, the use of engineering knowledge in digital entrepreneurship. The results of the empirical study allow finding out that the engineering Master students’ view digital entrepreneurship in a positive way. The survey results show that the engineering students focus their digital entrepreneurship on their professional field, namely engineering. The survey also outlined two major factors, namely host country language and host country rules, that limit the opportunities of becoming a digital entrepreneur in a host country. The implications for engineering education, that international engineering Master students receive in a host country, imply the integration of entrepreneurial culture, namely host country language and host country rules, into engineering education in a host country. The emphasis of the host country language and host country rules should be placed on their use for entrepreneurial purposes. By the entrepreneurial purposes, specific activities that are tied to entrepreneurship are meant. Training of host country language and host country rules within engineering education should be centred on their use for entrepreneurship.

AUTOMATED SENSORY MONITORING SYSTEM PROTOTYPE FOR CONTINUOUS MONITORING OF MATERIAL AND STRUCTURE STATE

The goal of this article is to solve problems of automated monitoring systems of industrial and aviation constructions. Based on the latest research results, the most cost-effective solutions are covered, and a practical solution is offered. This article is part of the scientific project “Development of an integrated sensor system for material and structure monitoring”. The article describes the problem and suggests a practical solution for an integrated sensor system for material and structure monitoring prototype.

DIGITAL DATA PROCESSING BASED ON WAVELET TRANSFORMS

The paper focuses on the main theoretical principles and properties of wavelet transforms. The problem of digital data processing based on wavelet transforms is considered. The analysis and processing of signals and functions that are non-stationary in time and inhomogeneous in space are presented. The authors propose methods of progressive coefficients’ values that combine wavelet decomposition and quantization, the main purpose of which is to convey the most important piece of information about a signal.

FORMATION OF COMPETENCIES OF SPECIALISTS IN THE FIELD OF WELDING THROUGH THE POSSIBILITIES OF DISTANCE ONLINE TRAINING

Today the new challenges in the world assign a key role to the distance online education in the formation of knowledge and competencies. The development of Internet technologies provides opportunities for much better distance online education. The use of various digital platforms increases the efficiency and improves the way of delivering information to the students. Different types of multimedia applications improve the perception of the learning material. The subject of this report is the development of a methodology for distance online training of welding specialists at the Institute of Metal Science, Equipment and Technologies with Hydro- and Aerodynamics Centre "Acad. A. Balevski" at BAS.