Proceedings of the 8th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2020)
RESTful Web Services Development in Situation-Oriented Databases
Valeriy Mironov, Artem Gusarenko, Nafisa Yusupova
New features RESTful web services development, envisaged in the situation-oriented databases (SODB), are considered. SODB is a heterogeneous data integrator driven by an embedded hierarchical situational model (HSM), in which virtual documents are mapped onto heterogeneous physical data. Microservices...
Analysis of Interactions in Structural System Representations
Dmitry Sysoev, Alexander Osipov, Svetlana Sazonova, Victor Asminin
Interactions between the elements of a functioning system in its structural representation are considered. This raises questions of system modeling for the development of models and algorithms for structuring relationships and decision rules on sets of information. This is necessary for generating output...
An Approach to Automated Extraction of Diagnostic Rules From the Text of Clinical Guidelines for Decision Support Systems
Ruslan Vafin, Rashit Nasyrov, Rustem Zulkarneev
Currently, there is a large amount of accumulated medical knowledge about various diseases, formalized in the form of clinical guidelines. For general practitioners, it is difficult to remember several dozen documents, due to information overloaded. To solve this problem, medical decision support systems...
Intersubjective Management Theory: Conceptualization of the Subject Area
Tatiana Moiseeva, Natalya Polyaeva
A lot of problem situations arise in our everyday life, that worsen quality of life, and modern science has no technologies of decision-making in such situations, when a man sees no way out. The only theory that proposes actors a new approach to managing the problem situations solving is the theory of...
Simulation Modeling of Innovative Project Management Processes
Liliya Chernyakhovskaya, Anna Malakhova, Natalya Nikulina, Irina Ivanova
Simulation modeling as a managing method is used for a variety of tasks and processes. One of the most demanded tasks that can be solved by means of simulation modeling is the management of an innovative project at various stages of its life cycle. Innovative project characteristics – the simulation...
Temperature Prediction in a Public Building Using Artificial Neural Network
Artur Romazanov, Alexander Zakharov, Irina Zakharova
The paper proposes an approach to predict the temperature in the rooms of a public building. The model of the building is described by the average temperatures in its rooms, the characteristics of external walls and heating elements. Weather conditions are determined by the temperature, speed and direction...
Problems of Automation of the Aggression Analysis in Socio-Cyberphysical Environment
Irina Kulagina, Andrey Iskhakov
The article presents the results of the carried out interdisciplinary research that allowed creating algorithmic software to determine the structural composition of investigated cases of electronic communication that could be interpreted as aggressive. Such interpretation is offered to be carried out...
Requirements Synthesis for a Smart Antenna Array for Microwave Medical Imaging
Merdan Merdanov, Aleksey Pinchuk, Alexey Zaretskiy, Maksim Alekhin, Anastasia Iskhakova, Aslan Balkarov, Olga Basova, Andrej Malyj
Requirements for perspective medical system for non-invasive radiation diagnostics of functional state of biological organs and tissues, based on application of microwave sensing techniques, practically implemented in a smart antenna array, are synthesized. Estimates of characteristics of beam pattern...
Methodological Problems of Biomedical Data Assessment
Alla G. Naymushina, Vladimir V. Latiy, Elina M. Bakieva
The results of a literature content analysis on methods for assessing biomedical data for constructing a model of human adaptive potential are presented. The software tools for collecting anthropometric data for children and youth from 0 to 19 years are determined. For adults, male and female, there...
Use of Fuzzy Neural Networks in Identification of the State of Data Transmission System Elements
A Aleksandr Oleinikov, Aleksandr Sorokin, Ilya Beresnev
The possibilities of using direct distribution neural networks with a different number of hidden layers and fuzzy neural networks in the process of identifying operational states of data transmission system elements are compared. As input, it is proposed to use the data collected by monitoring systems...
Decision-Making Support for Supervisory Control of Non-Banking Financial Institutions
Nikita Perevozchikov, Oleg Golovnin
With the change in the regulatory landscape in the financial sector, the organization of the activities of non-banking financial institutions (NBFI) is making more and more demands on the part of state regulatory authorities. To increase the effectiveness of supervision of NBFIs, regulatory bodies use...
A Microscopic Traffic Simulation Web Toolkit
Kirill Pupynin, Oleg Golovnin
There is presented a software toolkit for urban traffic simulation. The advantages of the toolkit are defined by using software implementation based on a web-oriented approach that does not require the installation of any programs as well as high-performance hardware. In order to increase the modeling...
A Numerical Algorithm of Determining the Coefficients and Functions of Sources in the Filtration Equation
The inverse problems of recovering the right-hand side and coefficients in a pseudoparabolic equations of filtration with the use of the pointwise overdetermination are studied. We expose some existence and uniqueness theorems which are the base of a numerical algorithm of recovering the right-hand side...
Methodological Assessment of Street Lighting With the Effect of Light Scattering in the ITSGIS Intelligent Transport Geographic Information System Personified Approach
Tatiana Mikheeva, Evgeniy Savinov
From the position of system analysis, among the tasks that are solved in the framework of managing the functioning of the transport infrastructure, the tasks of monitoring the characteristics of the road network, traffic flows, and traffic control equipment stand separately. The solution of such problems...
Cognitive Fuzzy Logic Modeling of Project Risks
Alexander Borovsky, Natalia Shumilina
In this article, using the fuzzy logic and cognitive modeling apparatus, the general provisions of intelligent support for management activities in projects are presented. In the context of digitalization of the economy the solution proposed is relevant. It can be used in development of a strategy for...
Application of VR and AR Technologies in Educational Process
Sergey Vlasov, Nikolay Borgest
Education system is constantly developing and now people can use new AR and VR technologies to improve their learning process. Augmented reality, abbreviated AR, is a combination of the real world and additional data “entered” in the area that the user sees. VR is generally defined as an interactive...
Information and Analytical Support for Biomedical Research in the Field of the Cardiovascular Disease Risk Prediction
Alexander A. Zakharov, Alexander A. Kotelnikov, Alexander P. Potapov, Dmitry V. Panfilenko, Pavel Y. Gayduk
The aim of the article is to study Data mining methods to predict the cardiovascular disease risks’ level, based on data from medical information systems. We propose a new approach to the development of information and analytical support for biomedical research. Based on the proposed approach, we have...
Detecting Images That Have a Destructive Impact on Users on the Internet
Anastasia Iskhakova, Roman Meshcherykov
This article deals with the current problem of automated detection of facts of destructive influence of images on the Internet on the person. It should be noted that detecting aggressive content in images is more difficult than detecting an object and defining its category. The reason for this is that...
Methodology Development for Evaluating the Effectiveness of Implemented Regional Government Information Systems
Dmitriy Sichinskiy, Andrey. Melnikov, Gleb Kochergin
The work is dedicated to the analysis of criteria used to assess the effectiveness of public information systems to meet the demands of citizens for government services in the digital form. This work presents a methodology for assessing the priority of projects to create, maintain and upgrade government...
Analyzing the Complex Nature of Emotions From Written Text Using Parrott Theory of Emotions
Mohsin M. Abbasi, Anatoly Beltiukov
Emotions are the main component of a person’s character and personality. They are used to communicate messages and information. Emotions are represented in various ways, such as by physical actions, verbal tone, written text, etc. We are interested in identifying the emotions presented in the written...
Approximate Entropy Technique of Calculation Based on Parallel Computation with Usage of GPU
Ruslan Mullayanov, Alexander Krushkov, Rashit Nasyrov
A time of computing has a significant importance in some domains. Especially, it comes a medicine. Such method as an approximate entropy is widely used to analyze a biomedical data, but it has non-linear algorithmic complexity. Therefore, there is a requirement to decrease a time of calculating of an...
Development of Requirements for Key Components and Infrastructure of Medical Computer-Aided Design Systems
Rashit Nasyrov, Igor Tiunov
The article is devoted to the development of requirements for software products and services that implement the technology of medical computer-aided design, as well as designed to support the development and implementation of medical computer-aided design systems as a class of computer systems. The review...
Inverse Problems of Heat and Mass Transfer and Filtration Theory
Sergey Pyatkov, Valerii Rotko
This is a survey article. We describe results on well-posedness in the Sobolev spaces of inverse problems with pointwise overdetermination for mathematical models of convection-diffusion and filtration described by parabolic equations and systems. The unknowns are time-dependent functions occurring in...
Stochastic Method for Skeleton Based Human Action Diagnostics
Yury Egorov, Irina Zakharova, Andrew Filitsin, Alexandr Gasanov
In recent years, modeling of human actions and activity patterns for recognition or detection of the special situation has attracted a significant research interest. We present our approach for abnormal human action recognition as a sequence of intermediate states. We propose to decompose each action...
Genetic Algorithm: Application in the Decision Support System for Selecting a Machine and Tractor Fleet
Alt Viktor, Balushkina Elena, Isakova Svetlana
The considered problem is to select a machine and tractor fleet to perform an annual cycle of work in agribusiness. There are many criteria for selecting a machine-tractor fleet and mathematical models based on them to solve this task. The complexity of the problem lies in many numerous solutions. A...
Cyber-Physical Systems and Reliability Issues
Nafisa Yusupova, Dmitry Rizvanov, Dmitry Andrushko
Anomaly detection is a well researched concept used in many areas, including engineering systems design, where it helps detect errors and prevent failures. Traditional anomaly detection methods, based either on comparing the behavior of the real system with its model or on different signal processing...
Development and Research of Electro-and Magnetocontrollable Elastic Polymeric Materials for Soft Robotics
Andrey Minaev, Yuriy Korovkin, Gennady Stepanov
New silicone magnetoactive elastomers have been investigated. Changes in elastic properties and resonance frequencies shifts in the investigated composite materials samples at the imposition external constant magnetic fields have been fixed by dynamic testing methods on vibration test benches. The method...
Data Quality and Digital Twins in Decision Support Systems of Oil and Gas Companies
Tatyana Pavlovich, Elena Dron
In the modern world, most enterprises implement digital technologies to improve business performance and enhance their competitive advantages. All digital technologies are based on data. Global digitalization leads to huge amounts of data. It is impossible to talk about IT development without understanding...
Development of a Fast Algorithm of Number- Theoretic Signal Transformation for OFDM Communication Systems Using UFMC Technology
Igor Kalmykov, Dmitriy Yurdanov, Maksim Kalmykov, Evgeny Voloshin
Modern OFDM communication systems must have the property of adapting to the changing parameters of the communication channel. Intelligent decision support systems using UFMS technology can effectively solve this problem. The use of UFMS filtering allows you to select the optimal value of the cyclic prefix...
Application of Noise-Resistant Modular Codes to Increase the Fault Tolerance of Infocommunication Systems with OFDMD
Igor Kalmykov, Igor Provornov, Maksim Kalmykov, Ivan Efremenkov
The use of methods of intellectual decision support in modern infocommunication systems OFDM allows to ensure high reliability of data transmission due to their adaptation to various destructive influences. To make an optimal decision that allows to effectively counteract such impacts, it is necessary...
GTE Resource Assessment and Renewal Software
Konstantin Rizvanov, Gennady Kulikov, Dmitry Rizvanov
In the proposed article, the GTE resource extension software is considered. System models for the extension of the GTE resource during the formation of the digital twin of the GTE have been developed. The stages of the life cycle of a gas turbine engine are tested and operated. The use of various BI...
Intelligent Data Processing and Analysis During the Engine Test
Guzel Saitova, Anastasia Elizarova
Aircraft engines are equipped with a huge number of sensors that generate thousands of signals. One of the most important problems, especially during testing, is that the volume of this data is so large that experts are no longer able to process this data. Today, the direction related to the intellectualization...
The Rational Material Distribution Problem for Building Floor Wall Structures
Yuliya Valiakhmetova, Lidiya Vasilyeva
Let us consider the problem of rational layout of load-bearing structures when designing a multi-storey building. The problem is reduced to the distribution of materials for wall sections with their specified geometry, which is described by a multi-connected orthogonal polygon. The width of the walls...
Multi-Stage Filtering of Numerical Solutions With an Application to the Hele-Shaw Problem
Vladimir Zhitnikov, Nataliya Sherykhalina, Aleksandra Sokolova, Sergey Porechny
This work is devoted to improving the accuracy and reliability of computer-generated information in mathematical modeling of physical and technological processes. A method of filtering numerical results for the solutions of different problems is presented for estimating the errors and increasing the...
A Randomized Algorithm for Restoring Missing Data in the Time series of Lake Areas Using Information on Climatic Parameters
Yuri S. Popkov, Vladimir Y. Polishchuk, Evgeny S. Sokol, Yury M. Polishchuk, Andrey V. Melnikov
In the tasks of predicting the volumes of methane emissions from thermokarst lakes in the Arctic territories, as one of the causes of modern global warming, it is necessary to use, along with climatic characteristics, data on the dynamics of lake areas, which are usually obtained using satellite imagery....
Threats Complex Distributed Systems Parrying Based on their Development Prognostication
Evgeny Palchevsky, Olga Khristodulo, Sergey Pavlov
This article proposes a method for countering threats in complex distributed systems based on predicting their development. Initially, the relevance of the topic under study is justified: it seems promising to use approaches that have found application in solving problems associated with the management...
The System of Geo-Simulation Modeling of Thermokarst Lakes Fields Based on the Log-Normal Distribution of Their Sizes
Vladimir Yu. Polishchuk, Yury M. Polishchuk
The issues of modeling the fields of thermo-karst lakes by the geo-simulation approach are considered. The permafrost zone is a zone of interest. The features of obtaining experimental data on the properties of real fields of thermokarst lakes from satellite images in the Arctic zone of Western Siberia...
Digital Transformation of Network-Centric Geo-Visualization Transport Infrastructure
T.I. Mikheeva, S.V. Mikheev, A.N. Tikhonov, E.V. Chekina
The article describes the digital transformation of geo-visualization of network-centric management in the environment of the intelligent transport geographic information system ITSGIS with subsequent visualization and deployment of geo-objects of the transport infrastructure on an electronic map. The...
Gradient Boosting–Based Machine Learning Methods in Real Estate Market Forecasting
Nikita Fedorov, Yulia Petrichenko
Several approaches can be used to estimate the value of residential real estate. The sales comparison approach requires assessing a number of comparable residential properties and determining the degree of their compatibility. The cost approach requires using the information on all construction costs....
Using a Combination of Recurrent and Convolutional Neural Networks to Forecast the Direction of Financial Instrument Price Movement
V. A. Melnikov, N. D. Kharchenko
Securities market forecasting has long been of interest to analysts and mathematicians due to the obvious opportunity to monetize the research if it proves to be successful. The work of these researchers has led to the creation of various trading algorithms; however, their effectiveness has not yet been...
Providing Information Security on the Base of Artificial Immune System for Industrial Internet of Things
Vladimir Vasilyev, Rinat Shamsutdinov
The paper analyzes the issues of providing information security of Industrial Internet of Things (IIoT). The features of both known and unknown attack detection in IIoT systems, in particular in wireless sensor networks, are considered. The analysis is carried using WSN-DS database as an exemplary case....
Research of YOLO Architecture Models in Book Detection
Maria Kalinina, Pavel Nikolaev
Deep neural networks are widely used in different fields of human activity, including spheres which are connected with large amount of operations such as data obtaining and processing information from the outside world. This article deals with the creation of the deep convolutional neural network based...
Formal Representation of the Model of the Designed Software-Analytical Complex Based on the Principle of the Necessary Variety of Structural Relationships
Kulikov Gennady, Navalikhina Nadezhda, Antonov Vyacheslav, Shilina Maria, Rodionova Lyudmila
The paper considers an applied approach to solving computer science problems in the framework of Cartesian closed categories to provide the necessary variety of structural connections when designing a software analytical complex taking into account the decision support system. The article considers the...
Methodology for the Formation of the Infrastructure of Intelligent Management of Transport Processes
T.I. Mikheeva, S.V. Mikheev, A.I. Chugunov
The article discusses the methodology of a system analysis of the formation of the infrastructure of intelligent management of transport processes with the scientific substantiation of strategic decisions in the intelligent transport geographic information system ITSGIS. A serious problem is the creation...
A New Approach to the Identification of Active Fracture Zones of Oil-Bearing Rocks Based on Satellite Images and GIS Technologies
Vladimir V. Krupitskiy, Yuri M. Polishchuk
Methodological issues of identifying active fracture zones as enhanced oil recovery zones using information-space technologies are considered. Because the insufficiency of seismic methods for identifying active fracture zones used landscape indicators of active fracturing zones, which are determined...
Accuracy Analysis of Remote Measurement of Thermokarst Lakes Parameters for Field Dynamics Modeling Problems
Matvey Kupriyanov, Gleb Kochergin, Ildar Muratov, Yury Polishchuk
The article is devoted to the issues of evaluating errors of remote measurement of thermokarst lakes characteristics in the Arctic zone using high resolution Kanopus-V images. Remote investigations were carried out at 98 test sites, located in the territory of the cryolithic zone of Western Siberia and...
On Some Classes of Inverse Problems on Determining the Source Function
Safonov Egor, Pyatkov Sergei
The inverse problem of determining the solution, the location, and intensity of a point source in the multidimensional advection-dispersion-reaction equation is considered. The equation is supplemented with the initial and boundary conditions of the Neumann or Dirichlet type. Methods for a numerical...
On the Problem of Class Imbalance in the Recognition of Electrocardiograms
Marat Bogdanov, Nikolai Oskin, Irina Dumchikova
The paper is about the problem of class imbalance in the diagnosis of diseases of the cardiovascular system using recognition of electrocardiograms. Under researching two oversampling approaches were compared. Complete cardiocycles (600 points) were used as features. In the first case, the bootstrap...
Method for Improving the Accuracy of Search Algorithms in Socially Significant Events
Vyacheslav Antonov, Ansaf Abdulnagimov, Veronika Suvorova, Yana Mikhailova
This article presents the results of calculations that allow us to visualize the connections of graphs of socially significant events, which are revealed through the tools of categorical logic as homomorphisms in the conditions of algorithmization of search mechanisms using combinatorial analysis and...
Graphic Documents Parametric Personalization for Information Support of Educational Design Using Situation-Oriented Databases
Valeriy Mironov, Artem Gusarenko, Gayaz Tuguzbaev
This article discusses the personalization of graphic documents intended as blanks for educational design. The blanks of design documents are filled in with design personal data in order to reduce the complexity of the subsequent design. The so-called parametric personalization is considered, in which...
Data Protection of Multimedia Content for E-Learning Using Discrete Wavelet Transform
The issues of assessment of images watermarking using discrete wavelet transform in the e-learning system is considered in the article. A digital watermark is primarily hidden data that is embedded inside a digital image, video, audio, or any other digital container. If the container with the embedded...
Ontological Approach to Viable Decision Support Services Development
Valeriya Gribova, Philip Moskalenko, Elena Shalfeeva, Vadim Timchenko
The concept and the technology for creation and maintenance of decision support services based on knowledge bases are described. The ontological approach for knowledge, data and solver formation, along with the principle of reusability and extensible tools provide the viability for such services. An...
The Model of the Innovative Project as the Multivariable Control Object
Vladimir Gvozdev, Oksana Bezhaeva, Dinara Akhmetova, Daria Blinova
The formation of a balanced system of parameters (budget; duration of implementation; customers and developers’ satisfaction with the results of the project the course of the project) is a critical factor in the successful implementation of the project. Development of the formal models, which described...
Multi-Criteria Decision Making Approach to Urban Web Service Databases Evaluation Based on the Analytic Hierarchy Process
Andrey Zemtsov, Tran Dung Khanh
The article presents a comparison of modern database management systems for the implementation of urban web services. The work describes a technique that allows selecting the optimal database management system according to a set of criteria, including the implementation of priority projects for the creation...
Data Processing Models and Algorithms for Outsourcing of Resources in the Production Scheduling Task
Dmitry Rizvanov, Evgeniy Chernyshev
Production scheduling is often used to improve the efficiency of an enterprise. The task of production processes scheduling of an aircraft engine enterprise is considered in this article. Aircraft engine consists of a large number of different parts and assemblies (more than 100,000) that are manufactured...
The Comparison of Distributive Semantics Models Applied to the Task of Short Job Requirements Clustering for the Russian Labor Market
Ivan Nikolaev, Ivan Ryazanov, Dmitry Botov
In this article we compare different vector models (tf-idf, word2vec, fasttext, lda, lsi, artm) in the short text clustering task, using a dataset of job vacancy descriptions in Russian. A two-step experiment is proposed to determine the best model and its hyperparameters based on the quality of the...
Formation of Balanced System of Program Project Characteristics
Vladimir Gvozdev, Oksana Bezhaeva, Gulnur Safina, Dinara Akhmetova
Formation of characteristic balanced system of program project is a critical factor in the successful implementation of the project. This paper describes the formal procedure for evaluating the budget and project duration values, that provide the best correlation between customer satisfaction of project...
Evaluation of the Impact of Random Computing Hardware Faults on the Performance of Convolutional Neural Networks
Emil Valiev, Nafisa Yusupova, Andrey Morozov, Klaus Janschek, Michael Beyer
Artificial Intelligence (AI) rapidly spreads across high-tech industries and enters almost every safety-critical area such as automotive, aerospace, and medical industries. However, like any other software, AI-based applications are prone to random hardware faults such as a random bit flip in CPU, RAM,...
Developing Risk Assessment Model for Altering Conditions of Forest Reserves in an Oil-Production Region
Alexander Yakimchuk, Andrey Melnikov, Vladimir Burlutskiy, Alexander Tsaregorodtsev
The scientific problem, the solution of which is aimed at this work, is the implementation of a systematic method of assessing and predicting the influence of anthropogenic impact on the natural environment of the oil-producing region. The article considers the process of manipulating specific heterogeneous...
Identification of Pathological Formations in the Lungs Based on Machine Learning Methods
G. R. Shakhmametova, N.O. Vakkazov, R.Kh. Zulkarneev
The article discusses the use of deep neural networks for analysis and recognition of images of computed lung tomography. The recognition is carried out in two stages: segmentation of lung image on the CT slice and search of pathological entity. An algorithm for segmentation of lung images in images...
Unstructured Text and Tabular Information Processing in the Clinical Decision Making System for the Respiratory Diseases Diagnosis
G. R. Shakhmametova, A.A. Evgrafov, R.Kh. Zulkarneev
The article considers the basic algorithm of text and table data extraction used in the developed system of clinical decision-making in diagnosis of respiratory diseases, methods of formation of the data structure of an individual patient, a set of data from all patients for further application in models...
On the Way to the Ontology of Test and Diagnostics Systems for Blading Power Plants
Sergey Borovik, Anna Ivleva, Sergey Smirnov
The article is an attempt to create ontology of test and diagnostics systems for blading power plants. Ontology is considered as a formal construction that combines understanding of the object model (more adequately - the subject area) from a logical point of view (as interpretation of a formal system...
Method of Planning the Trajectory of an Anthropomorphic Manipulator With a Copying Control With Haptic Gloves
Vyacheslav Petrenko, Vladimir Antonov, Fariza Tebueva, Artem Apurin
The article presents the development of a method for planning the trajectory of motion of the joints of an anthropomorphic manipulator in virtual reality with copy control with haptic gloves based on the method of calculating the position of the operator’s hands. The article discusses the existing development...
A Robotic Complex Control Method Based on Deep Reinforcement Learning of Recurrent Neural Networks for Automatic Harvesting of Greenhouse Crops
Vyacheslav Petrenko, Fariza Tebueva, Vladimir Antonov, Mikhail Gurchinsky
The modern development of technology determines the feasibility of the transition in agriculture from manual labor to automatic production. One of the promising areas is the automation of growing vegetable crops in greenhouse complexes. Necessary factors for intensive plant growth and unfavorable for...
Method for Reconfiguring the Kinematic Structure of a Mechatronic-Modular Robot in Non-Deterministic Conditions
Vyacheslav Petrenko, Mikhail Gurchinsky, Fariza Tebueva, Andrey Pavlov
Modular robots, consisting of many identical modules, are one of the most difficult areas of robotics. Each newly added element changes the shape and capabilities of the end device, for example, adds functionality or allows the robot to move in new planes. The reconfiguration of the kinematic structure...
Machine Learning Algorithm for Anthropomorphic Manipulator Control System
Vyacheslav Petrenko, Fariza Tebueva, Nikolay Svistunov, Andrey Pavlov
Service robots are one of the relevant areas of modern robotics. Many service robots are equipped with a pair of anthropomorphic manipulators, so that they are able to perform complex operations. However, this approach leads to new challenges in development of the robot control systems. In this paper...
Method of Controlling the Movement of an Anthropomorphic Manipulator in the Working Area With Dynamic Obstacle
Vyacheslav Petrenko, Mikhail Gurchinsky, Fariza Tebueva, Sergey Ryabtsev
Currently, the rapidly developing direction of anthropomorphic robotics attracts great interest of developers. This is due to the need to perform routine, harmful and hazardous types of work without direct human intervention, which is the key to ensuring the safety of the tasks performed. The article...
Use of Image Analysis Methods and Mathematical Statistics Methods as Tools for Assessing Toxicity of Nanoscale Materials
Anna M. Ignatova, Marina A. Zemlyanova
The results of the study of biological materials are often represented by images. The images carry a lot of information important for analysis, but at the same time, it becomes difficult to interpret this information. The problem of interpretation lies in the fact that it is influenced by the personal...
Generating Data on Individual Learning Paths for Classification Using Deep Learning Networks
Sofia Sosinskaya, Roman Dorofeev, Sofia Rogacheva, Andrey Dorofeev
The article considers information about individual learning paths as a set of observations with a large number of features. To reduce the amount of information, it is proposed to classify samples using deep learning networks. Selections are saved either in a relational database or as an ontology. To...
The Ant Colony Method to Support Decision-Making on the Appointment of Employees
V.A. Sudakov, Yu.P. Titov
Modern planning tools for the development and production process operate with schedules. The main disadvantage of scheduling is the difficulty in determining when to complete a task. The paper considers an approach that makes it possible to estimate the execution time of a task in the form of a fuzzy...
Proposal for IoT Implementation of a Distributed Ledger
Konstantin Mironov, Sergey Trishin, Vadim Kartak, Amir Makhmutov, Alexey Vulfin
In this article we look through the task of ensuring availability and integrity of information processed within the Internet of things (IoT) networks. Such networks include sensors, actuators and other devices that are data sources, gateways and data stream hubs that transmit information from sensors...
Knowledge Identification by Structured Data for Decision Making in Project Teams
Nafisa Yusupova, Olga Smetanina, Aygul Agadullina, Ekaterina Sazonova
The methodology of information support for decision-making in the formation of the project team was presented in this article. The object of the research is the process of the project team’s formation before the start of the project. The subject of research is a set of methods and means of organizing...
Emotionally Colored Information and Decision Support Systems
The article discusses the relevance of detecting, formalizing and accounting tasks for emotionally colored information in intelligent decision support systems. The approaches to the application of Affective Computing in the tasks of processing and interpreting emotionally colored information are analyzed....
The study of the Dynamics of the Spread of Viral Infection in the Premises of the Critical Infrastructure Using a Hybrid Model on the Example of a Medical Organization
The article is devoted to studying the influence of the spread of viral infection in the buildings of critical infrastructure facilities based on a simulation model. It is proposed to build the simulation model as a hybrid, including an event component, a pedestrian model, and an agent component within...