scholarly journals Modern Problems of Information Security in Control and Access Control Systems When Using Neural Networks

2021 ◽  
Vol 2096 (1) ◽  
pp. 012159
Author(s):  
V A Chelukhin ◽  
S E Tikhonov ◽  
Pyae Zone Aung
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Information Security ◽  
Access Control ◽  
Control Systems ◽  
Theoretical Study ◽  
Management Systems ◽  
Control And Management ◽  
Network Technologies ◽  
Neural Network Technologies

Abstract This work is devoted to a theoretical study of the investigation of incidents from the operation of access control systems using neural networks in our time. The work describes the processes of operation of control and access control systems, in which neural network technologies are most actively introduced among the components of access control and management systems, and which, from the introduction of neural networks into them, can show new vulnerabilities in the operation of the access control and management system as a whole.

scholarly journals Characteristics and general requirements for the access control and management system

2020 ◽  
Vol 44 (4) ◽  
Author(s):  
M. O. Omelchenko ◽  
Keyword(s):  
Access Control ◽  
Control Systems ◽  
Management Systems ◽  
Surveillance Systems ◽  
Network Construction ◽  
Fire Alarm ◽  
Alarm Systems ◽  
It Integration ◽  
Control And Management ◽  
Functional Purpose

The article examines the requirements for the functional purpose of access control and management systems (ACMS), the functional composition of ACMS and general requirements for it, integration and network construction of ACMS, burglar alarm systems, fire alarm systems, access control and management systems, ACMS capabilities, control systems access control, video surveillance systems.

scholarly journals INTERPRETATION OF NEURAL NETWORK TECHNOLOGIES FOR PREDICTION AND MANAGEMENT OF RISK FACTORS

Aviation ◽  
2010 ◽  
Vol 14 (1) ◽  
pp. 19-23 ◽  
Author(s):  
Volodimir Kharchenko ◽  
Oleh Alexeiev
Keyword(s):  
Neural Network ◽  
Risk Factors ◽  
Neural Networks ◽  
Management System ◽  
Safety Management ◽  
Flight Safety ◽  
Integrated Methods ◽  
Network Technologies ◽  
Informative Indices ◽  
Neural Network Technologies

The analysis carried out, as well as the systematisation and generalisation of flight safety problems, has allowed us to propose a model for a flight safety management system and to define directions for priority research. To solve flight safety problems, it is suggested to use the integrated methods of flight safety management on the basis of basic and partial criteria totality, where it is possible to take into account simultaneously the probabilistic indices of the system and informative indices, which are connected by means of using neural networks. Santrauka Atliktas tyrimas, taip pat skrydžio saugumo problemu susisteminimas bei apibendrinimas leido numatyti skrydžiu saugumo valdymo sistemos tobulinimo kelius, nustatyti prioritetines ju tyrimo kryptis. Siekiant užtikrinti skrydžiu sauguma, siūloma taikyti integruotus skrydžiu saugumo valdymo metodus, kurie remiasi baziniu bei daliniu kriteriju visuma; čia galima kartu ivertinti sistemos tikimybinius bei informacinius duomenis, kuriu jungiamaja grandimi yra neuroniniai tinklai.

scholarly journals Use of Aposteriori Information in the Implementation of Radar Recognition Systems Using Neural Network Technologies

2019 ◽  
Vol 22 (5) ◽  
pp. 52-60
Author(s):  
Dmitrii F. Beskostyi ◽  
Sergei G. Borovikov ◽  
Yurii V. Yastrebov ◽  
Ilya A. Sozontov
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Synthesis Method ◽  
Learning Ability ◽  
Network Training ◽  
Recognition Systems ◽  
Situational Assessment ◽  
Network Technologies ◽  
Technical Solutions ◽  
Neural Network Technologies

Introduction. The current need to obtain relevant, complete and reliable information about airborne objects has led to the continuous improvement of modern radar recognition systems (MRRS) as part of control systems. The development of modern MRRS has created objective prerequisites for the use of progressive and new methods and algorithms for the processing of signals using neural networks. The use of artificial neural networks with learning ability permits expansion to include many signs of recognition by using information obtained in the process of monitoring airspace.Aim. To formulate the problem and develop proposals for the use of posterior information for airspace control in radar recognition systems using neural network technologies.Materials and methods. Based on an analysis of the structure of a unified information network, an approach was formulated to facilitate the development of MRRS based on training technologies. Using the synthesis method, examples of technical solutions were proposed, which will allow the use of modern methods and signal processing algorithms using a posteriori information generated by the control system.Results. The study identified the principles of neural network training in solving the recognition problem in the process of functioning of radio electronic equipment (REE). The technical solutions pro-posed take the functioning of the integrated radar system into account, allowing the information parameters required for training MRRS in a single information field to be obtained. It is shown that the removal of restrictions associated with the functional autonomy of REE, allows the use of posterior information in the implementation of radar recognition systems. This also allows for an increase in the number of recognition signs used in the algorithms and for the database of portraits to be replenished. Conclusion. MRRS can be developed via training by removing the restrictions associated with the autonomous functioning of RES. This allows for the situational assessment to be enhanced and management decisions to be optimised.

APPLICATIONS OF NEURAL NETWORK TECHNOLOGIES IN WIRELESS SENSOR NETWORKS

2020 ◽  
pp. 46-51
Author(s):  
A. E. Khaytbaev ◽  
A. M. Eshmuradov
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Simulation Model ◽  
Wireless Sensor ◽  
Management Technique ◽  
The Neural Network ◽  
Network Technologies ◽  
Neural Network Technologies

The purpose of the article is to study the possibilities of improving the efficiency of the sensory network management technique, using the neural network method. The presented model of the wireless sensor network takes into account the charging of the environment. The article also tests the hypothesis of the possibility of organizing distributed computing in wireless sensor networks. To achieve this goal, a number of tasks are allocated: review and analysis of existing methods for managing BSS nodes; definition of simulation model components and their properties of neural networks and their features; testing the results of using the developed method. The article explores the major historical insights of the application of the neural network technologies in wireless sensor networks in the following practical fields: engineering, farming, utility communication networks, manufacturing, emergency notification services, oil and gas wells, forest fires prevention equipment systems, etc. The relevant applications for the continuous monitoring of security and safety measures are critically analyzed in the context of the relevancy of specific decisions to be implemented within the system architecture. The study is focused on the modernization of methods of control and management for the wireless sensor networks considering the environmental factors to be allocated using senor systems for data maintenance, including the information on temperature, humidity, motion, radiation, etc. The article contains the relevant and adequate comparative analysis of the updated versions of node control protocols, the components of the simulation model, and the control method based on neural networks to be identified and tested within the practical organizational settings.

scholarly journals USING NEURAL NETWORKS IN MODELING THE FINANCIAL RESULTS OF BUSINESS PROCESSES

2019 ◽  
pp. 108-120
Author(s):  
Nadiia YASYNSKA ◽  
Olena IVCHENKOVA
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Real Time ◽  
Information And Communication Technologies ◽  
Business Processes ◽  
Global Competitiveness ◽  
International Monitoring ◽  
Readiness Level ◽  
Network Technologies ◽  
Neural Network Technologies

Introduction. The attributes of neural networks are embodied in a study of the effectiveness of business processes, which is based on integrated coefficients of international monitoring with a range of quantitative parameters. Simulated situational precedents will allow to assume multivariate solutions in real time. The purpose of the work is to use of neural network technologies in modeling financial results of business processes with integrated international monitoring indices and domestic statistics. Results. The obtained sections of the response surface of the resulting indicator and pairs of independent variables for a neural network of type RBF 3–7–1 are characterized. An algorithm is proposed for applying the methodology for assessing the functioning of a business using neural network technologies. Conclusions. 1. According to the results of theoretical generalizations, the understanding of the main purpose of the business operation has been improved. A feature of the proposed interpretation is the narrowing of the functional component of business processes to the resulting feature in real time. 2. Low indicators of network readiness, level of ICT development, global competitiveness of the domestic economy and business profitability have been established. 3. For the simulated situations, the results obtained allowed to bring the convergence of the resulting indicator of relatively independent factors, that is, the response of domestic business to the intensification of digitalization, increasing the competitiveness of the economy and the development of information and communication technologies. 4. The paper proposes an algorithm for applying the methodology for assessing the functioning of a business using neural network technologies.

The Methodical Complex of Laboratory Works on the Study of Neural Network Technologies

2019 ◽  
pp. 358-367
Author(s):  
Artem Borodkin ◽  
Vladimir Eliseev ◽  
Gennady Filaretov ◽  
Alireza Aghvami Seyed
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Undergraduate Students ◽  
Software Package ◽  
Practical Experience ◽  
Software Packages ◽  
Network Methods ◽  
Network Technologies ◽  
And Control ◽  
Neural Network Technologies

The chapter considers a task of teaching undergraduate students practical skills using artificial neural networks to solve problems of information processing and control systems. It represents and proves the methods of teaching, based on the gradual increase in the complexity of tasks to be solved by students. The developed complex of laboratory works includes classical problems and methods of their solutions, as well as original methods for solving problems of automatic control. The technology base of the laboratory works are both well-known programs and software package developed by the authors. In addition to the practical experience in the use of software packages, students obtain experience in conducting comparative studies of traditional and neural network methods for solving control problems.

scholarly journals USING OF NEURAL NETWORK TECHNOLOGIES FOR DETECTING INFORMATION SECURITY INCIDENTS

2016 ◽  
Vol 6 (1) ◽  
pp. 78-80 ◽  
Author(s):  
R.A. Markov ◽  
◽  
V.V. Bukhtoyarov ◽  
A.M. Popov ◽  
N.A. Bukhtoyarova ◽  
...  
Keyword(s):  
Neural Network ◽  
Information Security ◽  
Network Technologies ◽  
Security Incidents ◽  
Neural Network Technologies

scholarly journals APPLICATION OF NEURAL NETWORK TECHNOLOGIES FOR MANAGEMENT DEVELOPMENT OF SYSTEMS

2021 ◽  
Vol 11 (4) ◽  
pp. 378-389
Author(s):  
A. L. Lisovsky
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Business Processes ◽  
Case Analysis ◽  
Management Development ◽  
Economic Feasibility ◽  
Network Technologies ◽  
Positive Effect ◽  
Neural Network Technologies

Work is devoted to application of neural network technologies for management development of systems. In article the analysis of efficiency of introduction of neural network technologies is carried out to business processes of three Russian companies and the positive effect locates when using neural networks in several parameters.The case analysis is added with the analysis of economic feasibility of introduction of neural networks by means of an assessment of studied indicators, an assessment of satisfaction of clients, control of the personnel, an assessment of efficiency of each employee. Recommendations about application of neural networks in the organization are made.In article it is shown that in spite of the fact that many actions necessary for introduction of system, are costly and long-term, they will positively affect company activity.

scholarly journals Object Classificators Using the AdaBoost Algorithm and Neural Networks

2018 ◽  
Vol 173 ◽  
pp. 05016
Author(s):  
Alexey V. Stadnik ◽  
Pavel S. Sazhin ◽  
Slavomir Hnatic
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Adaboost Algorithm ◽  
Relevant Task ◽  
Processing Algorithms ◽  
Network Technologies ◽  
Image Object ◽  
Neural Network Technologies ◽  
Existing Data ◽  
Data Processing Algorithms

The construction of image object detectors is still a relevant task, due to dynamic developments in the field of computer vision. In this work, we combined neural network technologies with existing data processing algorithms to obtain effective object classifiers. We demonstrate our approach on the example of face detection.

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