Improvement of variational-gradient method in dynamical systems of automated control for integro-differential models

Mashkov, Oleg; Sobchuk, Valentyn; Барабаш, Олег; Dakhno, N. B.; Shevchenko, Halyna; Maisak, T. V.

doi:10.23939/mmc2019.02.344

Cited by 23 publications

(18 citation statements)

References 15 publications

(26 reference statements)

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“…This judgment is confirmed by the results of using the method of evaluating the effectiveness of the system. According to the existing variant, they showed the ability to sustainably perform the tasks of the subsystem with the level of reliability Р i (t n )≥0,75 [12,14,23,[25][26][27][28], namely: regulatory, legal, organizational, financial and economic support.…”

Section: Resultsmentioning

confidence: 99%

Comprehensive Methods of Evaluation of Efficiency of Distance Learning System Functioning

Барабаш¹,

Musienko²,

Hohoniants³

et al. 2021

IJCNIS

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The current pace of development of information technology has created the preconditions for the emergence of a wide range of tools for providing educational services using distance learning technologies. This is confirmed by the intensification of the use of distance learning systems in the conditions of sanitary and epidemiological restrictions and the need for acute cost savings. The existing scientific and methodological apparatus for studying the quality of functioning of distance learning systems is mostly based on approaches to separate assessment of the effectiveness of their elements and the relevant quality indicators. This limits the ability to take into account important factors in the decision-making process and requires comprehensive consideration of the contributions of relevant subsystems to the functioning of the distance learning system. In order to solve this problem, the article presents a comprehensive methodology for assessing the effectiveness of distance learning system, based on methods of probability theory and hierarchy analysis and describes the patterns of influence on the effectiveness of distance learning system of importance and contributions of its subsystems. Comparative analysis of the data obtained by monitoring and forecasting performance indicators based on the proposed method, shows an increase in the reliability of the assessment within 15-18%, which in contrast to the existing reduction of standard deviation of performance indicators by an average of 26% and ensures the adequacy of the results within certain assumptions and hypotheses. In such conditions, the choice of an appropriate option for the construction of the DN system is ensured by the reliability of the forecast of the results of its operation in the range of 82-85%, which is high enough to make appropriate decisions. The value of this study lies in the possibility of using the tested scientific and methodological apparatus in forecasting the outcome of the system and saving material, financial and human resources in the process of implementing the relevant recommendations in practice. This fact makes it possible to eliminate limitations in the practice of building distance learning systems and creates a new opportunity to cover a wider range of factors that affect the quality of operation.The application of this technique makes it possible to predict the results of the joint operation of the relevant subsystems of the distance learning system, taking into account their contribution to the overall result.

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Section: Resultsmentioning

confidence: 99%

Comprehensive Methods of Evaluation of Efficiency of Distance Learning System Functioning

Барабаш¹,

Musienko²,

Hohoniants³

et al. 2021

IJCNIS

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“…Leakage of information depends on the security of the system and the measures taken to neutralize threats to the security of personal data [18][19][20][21].…”

Section: The Main Sectionmentioning

confidence: 99%

Modeling the Protection of Personal Data From Trust and the Amount of Information on Social Networks

et al. 2021

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The article analyzes the parameters of social networks. The analysis is performed to identify critical threats. Threats may lead to leakage or damage to personal data. The complexity of this issue lies in the ever-increasing volume of data. Analysts note that the main causes of incidents in Internet resources are related to the action of the human factor, the mass hacking of IoT devices and cloud services. This problem is especially exacerbated by the strengthening of the digital humanistic nature of education, the growing role of social networks in human life in general. Therefore, the issue of personal information protection is constantly growing. To address this issue, let’s propose a method of assessing the dependence of personal data protection on the amount of information in the system and trust in social networks. The method is based on a mathematical model to determine the protection of personal data from trust in social networks. Based on the results of the proposed model, modeling was performed for different types of changes in confidence parameters and the amount of information in the system. As a result of mathematical modeling in the MatLab environment, graphical materials were obtained, which showed that the protection of personal data increases with increasing factors of trust in information. The dependence of personal data protection on trust is proportional to other data protection parameters. The protection of personal data is growing from growing factors of trust in information. Mathematical modeling of the proposed models of dependence of personal data protection on trust confirmed the reliability of the developed model and proved that the protection of personal data is proportional to reliability and trust

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“…Article [15] tackles the application of a variation gradient method to dynamic systems. Using a variation gradient method could increase the efficiency of information processing in the processes of management and research of dynamic systems.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Devising a procedure for substantiating the type and volume of redundant structural-functional elements of reconnaissance-firing systems

Maistrenko

Karavanov

Riman

et al. 2021

EEJET

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This paper proposes an algorithm for substantiating the type and volume of redundant structural and functional elements of reconnaissance-firing systems, taking into consideration the operational patterns of such systems. Underlying this algorithm is the combination of survivability assessment methods and reliability assessment methods. Such an arrangement aimed to improve the efficiency of the application of these methods and reduce uncertainty in the calculations. The results from calculating an example of the application of a procedure for substantiating the type and volume of redundant structural and functional elements of reconnaissance-firing systems have been analyzed. The analysis of the results shows that the set task is fulfilled, in particular the specified probability of trouble-free functioning of a reconnaissance-firing system, with a combined type of redundancy. Moreover, it implies giving preference to passive redundancy, using active one only to critical elements – individual functional elements of the control subsystem. The advantage of a mixed type of redundancy over a passive redundancy is 28 %. In addition, it has been established that the multiplicity of redundancy, for accepted conditions, should not be lower than 2. A procedure for substantiating the type and volume of redundant structural and functional elements of reconnaissance-firing systems has been devised, taking into consideration the operational patterns of such systems. The specified procedure includes an algorithm, as well as methods for assessing survivability and methods for assessing the reliability of functioning. This procedure was tested for feasibility by considering an example of justifying the type and volume of redundant structural and functional elements of reconnaissance-firing systems that produced an adequate result. The result has been confirmed by the practical application of reconnaissance-firing systems in recent armed conflicts

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Improvement of variational-gradient method in dynamical systems of automated control for integro-differential models

Cited by 23 publications

References 15 publications

Comprehensive Methods of Evaluation of Efficiency of Distance Learning System Functioning

Comprehensive Methods of Evaluation of Efficiency of Distance Learning System Functioning

Modeling the Protection of Personal Data From Trust and the Amount of Information on Social Networks

Devising a procedure for substantiating the type and volume of redundant structural-functional elements of reconnaissance-firing systems

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