РУС
ENG
№ 4(31)'2023
Aims and Scope
Founder and Publisher
Editorial board
Licensing terms
Privacy Statement
Plagiarism policy
Publication ethics
Archiving Policy
Subscription
Instructions for authors
Reviewing proccess
Copyright Notice
License agreement
Article processing charges
All issues
Search
Contacts
Section 1
Informatics, Computer Engineering and Control
D. A. Garkusha
FUNCTIONAL FEATURES OF IMPLEMENTED ONTOLOGICAL PLATFORMS
UDC 004.89:004.93
DOI 10.34757/2413-7383.2023.31.4.001
Language: Russian
Annotation:The article provides an analysis of tools in the field of ontology construction. The study of this problem showed that at the moment there is a small number of sources showing the effective use of tools in different tasks, stacks, and project scope. The result will be the use of data in an integrated approach to solving ontological engineering problems.
Keywords: ontology, ontological platforms.
K. Y. Moskalyov, S. S. Antsyferov, K. N. Fazilova.
ISSUES OF ADAPTATION OF ORGANIZATIONAL STRUCTURES AND PRODUCT QUALITY OF ELECTRONICS INDUSTRY ENTERPRISES
UDC 005.6
DOI 10.34757/2413-7383.2023.31.4.002
Language: Russian
Annotation:This article analyzes scientific sources devoted to the study of adaptive organizational structures and their impact on adaptive quality. The paper studies various models of organizational structures, and improving adaptive quality. The factors influencing the successful adaptation of an organization to changing environmental conditions are considered. The purpose of the article is to identify the main trends in the field of adaptive organizational structures and quality management.
Keywords: adaptability, organizational structures, quality
O. V. Teplova, O. A. Krivodubsky
PRINCIPLES PSYCHOEMOTIONAL STATE RECOGNITION OF PERSON IN AUTOMATED CONTROL SYSTEMS
UDC 1.159.95
DOI 10.34757/2413-7383.2023.31.4.003
Language: Russian
Annotation:The article considers the classification of mental states and classifications of human emotional states. The interrelationships of mental states and the stress effect on each of them are analyzed. Selected the most important mental states for diagnosis in the event of a random nature deviations in the operation of an automated control system to accelerate the decision-making system.
Keywords: automated control system, emergency, mental state, emotional state, classification.
I. A. Tikhonov, S. S. Antsyferov
INTELLECTUALIZATION OF ELECTRONIC INDUSTRY ENTERPRISES AND RISK MANAGEMENT
UDC 005.6
DOI 10.34757/2413-7383.2023.31.4.004
Language: Russian
Annotation:The article examines the impact of intellectualization on risk management in the electronic industry. An organizational model of a digital enterprise has been created. On the basis of the model, the technologies of intellectualization that can reduce risks in production and organizational systems are considered
Keywords: risk management, electronic industry, intelligent production.
Section 2
Math modeling
N. Andrievskaya, T. Martynenko, T. Vasyaeva
APPLICATION OF STATISTICAL METHODS, CLUSTER ANALYSIS AND NEURAL NETWORK TECHNOLOGIES IN FORECASTING PROCUREMENT PRICES FOR MEDICINES
UDC 004.048
DOI 10.34757/2413-7383.2023.31.4.005
Language: Russian
Annotation:The article discusses the problem of planning the procurement of medicines in a pharmacy chain. When determining the optimal purchase price, there is a need to forecast prices using a historical array of price list data. Traditional statistical approaches to forecasting, as well as methods based on a neural network, are analyzed. Four methods are implemented: moving average method; random forest method; K-nearest neighbors’ method; neural network with LSTM architecture. Based on a number of metrics, the quality of the forecast of the tested methods was assessed. The experiments performed showed high prediction accuracy.
Keywords: neural network, LSTM, procurement, forecasting, forecast method, forecast accuracy.
V. N. Belovodskiy
ON USE OF NEURAL NETWORKS FOR THE CONSTRUCTION OF ATTRACTION BASINS OF PERIODIC REGIMES OF NONLINEAR DYNAMIC SYSTEMS
UDC 519.6
DOI 10.34757/2413-7383.2023.31.4.006
Language: Russian
Annotation:The article analyzes the prospect of using neural networks for construction of attraction areas of periodic regimes of nonlinear dynamic systems. A single-mass scheme of a nonlinear vibration machine with asymmetric elastic ties and its oscillations in the subharmonic resonance zone of the order of 1:2 are considered. For the selected system parameters, two stable periodic regimes were detected in this zone. In paper, the construction of a two-layer neural network is fulfilled, its training is carried out and for certain initial points of the phase space with use of this neural network the character of the behavior of their orbits is diagnosed. The results are encouraging.
Keywords: single-mass vibrating machine, inertial vibration drive, working body, elastic ties
