Personalization of mobile application interfaces based on the ontological model for people with special needs

The process of developingadaptive interfaces is a non-trivial task in the field of rapidly developing information technologies. An intelligent systembased onan ontological model can provide assistance in the development of applications for people with special needs.

The prospects of a CMS development

This article contains the description of the prospects of a CMS development and the short description of the stages of the Internet-formation before an appearance of the CMS. And the assumed way of a CMS development along the MODx-scenario is described in this article.

New educational trends and challenges. Determination of the level of digital competence

The development of information technology leads to a change in old paradigms in all areas. The state and employers set new requirements for specialists, such as digital competencies (DC). The article presents the results of a study of the general interest and interest of the academic community in the DC. Additionally, we made a primary analysis of the existing methods of DC level detection, presented in the Russian-language academic (RLA) literature within 2015-2020 in the work. In preliminary the work conclusion was estimated that this issue has not been considered enough in RLA.

Problem-oriented software package for the numerical solution and research of structural bioinformatics problems using stochastic optimization methods

In this paper presented problem-oriented software package for performing computational experiments in structural bioinformatics problems: protein structure prediction and peptide-protein docking. These problemsare formulated as continuous global optimization tasks. The primary purpose of the presented software package is to provide functionality for performing computational experiments using various stochastic optimization methods. To perform experiments for the selected task the objective function and search space are provided for user. In this work the software packagefunctionality, implementation features and the results of various experimentsare presented. The software is written in C++ and provides the possibility ofusing parallel computing using OpenMP technology. The presented package is open source software that stored in the GitHub repositories.

Quantum Software EngineeringSupremacy in Intelligent Robotics

A new approach for implementing quantum massive parallel computations is presented, using methods of circuit implementation of quantum algorithmic gates. Methods for designing fast quantum operators such as superposition, entanglement, andinterference are considered. The presented methodsallow you to reduce the number of actions that must be performed. The implementation is presented as a support tool for SW&HW supercomputer accelerator for modeling quantum algorithms. In particular, a newquantum-genetic and quantum-fuzzy inference algorithm for intelligent robotic control has been implemented. Also, a new method for performing Grover's inference without operations with the productis presented.

Аnalysis of differential cross sections of 12,14ВЕ+2С with energy of 56 mev / nucleon on the basis of parallel implementation of a four–parameter microscopic nucleus–nucleus scattering model

The MPI/C++ /Fortran package of computer codes has been developed for high-performance numerical analysis of experimental data on elastic nucleus-nucleus scattering within a microscopic model of optical potential. In the package, a modified DWUCK4 Fortran-code for calculating the physical characteristics of elastic scattering based on a numerical solution of the corresponding Schrödingerequation has been incorporated into the C++ framework, which is responsible for the input-output procedure and a comparison of numerical results with experimental data. MPI-based parallelism allows efficient calculations of the observables depending on a wide range of parameters of real and imaginary parts of the microscopic OP. The package has been used to analyze experimental data on differential cross sections of the 12,14Ве+12Сelastic scattering.

Prototype of software and technological support quality management of knowledge acquisition by university students

Currently there are a large number of services and platform for organizing remote learning and manag-ing the quality of knowledge acquisition by university students. For example, Moodle, Ispring, Edmodo, Ёстади. All of them have a testing device, the ability to store and present theoretical material in different formats: in the form of audio, video, test, etc.Despite this, some areas are developing related to the improvement of tools and tools for knowledge control, analysis ofthe quality of the learning process, analysis of the quality of educational and methodological materials. There is a need for mobile components that allow students to evaluate and analyze the acquired knowledge in the learning process, actively identify missing knowledge, receive recommendations and advice at the right time, and thus effectively use classroom and extracurricular time.

Data approach for the studies of the job market and related areas

This paper discusses some approaches to intellectual text analysis in application to automated monitoring of the labour market. The construction of an analytical system based on Big Data technologies for the labour market is describedd. Were compared the combinations of methods of extracting semantic information about objects and connections between them (for example, from job advertisements) from specialized texts. A system for monitoring the Russian labour market has been created, and the work is underway to include other countries in the analysis. The considered approaches and methods can be widely used toextract knowledge from large amounts of texts.

Combined automated searching for coassociative relations as a preprocessing step in exploratory multispectral data analysis

In current research a combination of several techniques–group of cluster analysis approaches and machine learning methods have been used to investigate the satellite multispectral imagery of cropland.The primary work with data makes emphasis on clustering by agroup of algorithms. The method proves to make the neural network detecting of pixels with similar signatures in much more accurate way and allows to interpret crop growth processescorrectly.The technique appears useful in order to form a representativetraining set for powerful neural image classification model to provide the accuracy of revealing structural dependencies and carrying them over on new data.The theoreticalpart of research is given to plan further experimental researchwork.

Intelligent robust controller based on cognitive computing technologies. Pt. 1: cognitive Control models with THE BRAIN emotional learning

n on-linecontrol and decision-making systems, emotional brain training is a preferred methodology (compared to stochastic gradient-based and evolutionary algorithms) due to its low computational complexity and fast robust learning. To describe the emotional learning of the brain, a mathematical model was created —the brain emotional learning controller (BELC). The design of intelligent systems based on emotional signals basedoncontrol methods assoft computing technologies: artificial neural networks, fuzzy control and genetic algorithms. Based on the simulated mathematical model of mammals BEL, a controller architecture has been developed. Applied approachcalled “Brain Emotional Learning Based Intelligent Controller” (BELBIC) —a neurobiologically motivated intelligent controller based on a computational model of emotional learning in the mammalian limbic system. The article describes applied models of intelligent regulators based on emotional learning of the brain. BELBIC's learning capabilities;versatility and low computational complexity make it a very promising toolkitfor on-lineapplications.