• ## Formulation of axisymmetric boundary value problems of the linear theory of elasticity for canonical bodies in harmonic potentials

pg(s) 116-119

The paper is based on the representation of the fundamental solution of the linear elasticity theory of the mechanics of a deformable solid in the J. Dougall’s form through spatial harmonic functions. The axisymmetric problem of the elasticity theory in a cylindrical coordinate system for bodies bounded by a canonical surface is formulated. As a case, the boundary value problem of pure torsion is formulated and the elastic characteristics and structure of the corresponding external loads on the side surface of a given isotropic elastic body in the above-mentioned harmonic potentials are presented. This approach makes it possible to obtain and extend the set of exact analytical solutions of boundary value problems of the spatial elasticity theory and is the theoretical basis for calculating the strength parameters of mechanical systems.

• ## Consistent Presentation of the Beam Deflection Theory Including Shear Correction

pg(s) 120-123

This article explains a mathematically consistent approach for solving the equations of Timoshenko’s beam theory for statically loaded beams. Theoretic sections 3.4 – 3.5 give a good description of the shear deformation and the primary approach for calculating deflections of beams under bending, taking into account both causes for deflection: bending moment and shear force. Values for the shear correction factor are discussed in section 4. This work was started to check the validity of an equation for deflection of a symmetrically loaded short rectangular beam with span/height ratio = 3 under four-point bending with upper-span/span ratio = 1/3. The exact solution is not presented here, but we can confirm that the presented theory, when applied for the mentioned loading scheme, leads to thi s equation using a shear correction factor k = 5/6.

• ## Application of artificial locust swarm routing algorithm for VFR flights planning

pg(s) 124-127

Along recent years an approach of Artificial Locust Swarm Routing (ALSR) algorithm was developed for flights planning in Europe and for rules provided in EuroControl area of responsibility. Most researches were strictly related to IFR type of flights. However, there is a big area of interest in private aviation for short local flights under the top of VFR flight levels (FL195 and below). These flights have much specificity for planning and ALSR algorithm is found capable of solving these problems also, using this same idea of the algorithm like it was developed for IFR flights. One may see that the algorithm shows rather good results for such difficult area like Swiss Alps valleys and canyons.

• ## Automated system of getting meter readings in the sphere of communal services

pg(s) 128-129

The work demonstrates the implementation of automated meter data reading using a single-board computer Raspberry Pi model 3B +, camera module. The approach of creation of the UWP-application and the Web API as a server part is considered.

• ## A new Approach to Modeling and Simulation of Industrial Processes

pg(s) 130-132

In the paper are presented theoretical analysis of the methods for industrial processes modeling and a new approach to modeling and simulation of industrial processes in cases of lack of information on the mechanism of the process.

• ## Multicriterial optimization strategies for electron beam grafting of corn starch

pg(s) 133-135

Grafting is the most effective way of modifying and regulating the properties of natural polysaccharides for the production of highly efficient graft copolymers, which have applications as flocculating agents for the treatment of different wastewaters. An experimental investigation connected with the modification of starch by grafting acrylamide with the application of electron beam irradiat ion is performed. In this paper the implementation of different multi-criteria optimization strategies, solving the problem with the choice between several compromise Pareto-optimal solutions are presented and compared for the process of electron beam grafting of corn starch. The compromise Pareto-optimal solutions are obtained by implementation of genetic algorithm and a set of requirements for the desired reference direction (minimum or maximum) and the constraints of the investigated quality characteristics and their variances under production conditions, which ensure the fulfilment of several goals – economic efficiency, assurance of low toxicity and high copolymer efficiency in flocculation process.

• ## Implementation of simulation tools in optimization of traffic flows – case study City of Zagreb

pg(s) 136-138

Urbanization and population growth in cities around the world have increased the degree of motorization, which ultimately results in congestion of the transport network within these cities. Traffic simulation tools are essential for the optimization and evaluation of variant solutions in road traffic. By analysing traffic parameters from simulation results it can be decided which variant solution is optimal without high financial inputs. In this paper, the most important simulation tools are explained. As a case study, one district in the City of Zagreb was chosen to present possibilities of simulation tools and their implementation in the evaluation of traffic solutions.

• ## Numerical modeling of impact interaction between an active element and a deformable barrier

pg(s) 139-140

A methodology for calculating the impact interaction between an active element and a deformable barrier is developed on the basis of approximated analytical results. As an active element is considered a hemisphere smoothly shaped into a cylinder. Results from calculations using the proposed methodology are applied. The examples presented here are two extreme cases of interaction that differ from each other by the initial angle of contact of the active element with the barrier.

• ## Application of artificial neural networks for prediction of business indicators

pg(s) 141-144

This paper examines the applicability of the neural networks in developing predictive models. A predictive model based on artificial neural networks has been proposed and training has been simulated by applying the Long Short-Term Memory Neural Network module and the time series method. Python programming language to simulate the neural network was used. The model uses the stochastic gradient descent and optimizes the mean square error. Business indicators for forecasting the results of the activity and the risk of bankruptcy of a company are forecasted and a comparison of the obtained forecast values with the actual ones is performed in order to assess the accuracy of the forecast of the developed model. As a result, it can be noted that business indicators can be successfully predicted through the Long Short-Term Memory Neural Network and the forecasted values are close to the actual ones.

• ## Decarbonizing Russia: leapfrogging from fossil fuel to hydrogen

pg(s) 145-147

We examine a different approach to complete decarbonization of the Russian economy, in a world where climate policy is increasingly requiring radical reduction of emissions wherever possible. We propose an energy system that can supply solar, and wind generated electricity to fulfill all demand and which accounts for intermittency problems. This is instead of a more usual approach of planning for expensive carbon capture and storage, and a massive increase in energy efficiency and therefore a drastic reduction in energy use per unit Gross Domestic Product (GDP). Coupled with this massive increase in alternative energy, we also propose using excess electricity to generate green hydrogen. Hydrogen is a known technology that can function as storage for future electricity needs or for potential fuel use. Importantly, green hydrogen can be used as a re-placement export for Russia’s current fossil fuel exports and will likely provide higher revenues. The analysis was carried out using the highly detailed modeling framework, the High-Resolution Renewable Energy System for Russia (HIRES-RUS) representative energy system. The modeling showed that there are a number of feasible combinations of wind and solar power generation coupled with green hydrogen production to achieve 100% decarbonization of the Russian economy.