Lebesgue-type inequalities for the de la Valée-Poussin sums on sets of analytic functions

Musienko, Andrii; Serdyuk, A. S.

doi:10.1007/s11253-013-0796-4

Cited by 20 publications

(12 citation statements)

References 12 publications

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“…The hierarchy is built from the top -this is the general purpose of the problem, determining the importance of contributions to the subsystems of legal, organizational, It is estimated that the optimal number of experts will be 10-15 people. In this case, the probability of the truth of the collective expert opinion is approximately 0.8 [18,20,22].…”

Section: Methodology For Evaluation Of the Efficiency Of The Functionmentioning

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: Methodology For Evaluation Of the Efficiency Of The Functionmentioning

confidence: 99%

Comprehensive Methods of Evaluation of Efficiency of Distance Learning System Functioning

Барабаш¹,

Musienko²,

Hohoniants³

et al. 2021

IJCNIS

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“…In [8,9] developed a structural-parametric model of information security risk assessment system which, due to the structural components of subsystems, the formation of primary and secondary data, as well as their components modules of initialization of input data, formation and conversion of reference values, weighing evaluation parameters and their adjustment, risk assessment and report generation, which implement the proposed methods, assessment based on databases of vulnerabilities, incrementing and decrementing the order of linguistic variables, allows for high flexibility and convenience in assessing information security risks without the participation of experts in the subject area. But only the problems of information security, which are presented in local databases, are considered.…”

Section: Literature Review and Problem Statementmentioning

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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“…FFT також працює з комплексними числами і відрізняється тим, що розмір самого перетворення обов'язково є ступенем двійки. Варіюючи розмір перетворення і величину вибірки, отримуємо наближений до значень реального сигналу набір [8].…”

Section: виклад основного матеріалуunclassified

Боротьба З Міжсимвольною Інтерференцією За Допомогою Еквалайзерів І Ортогонального Часового Мультиплексування

Pochernyaev¹,

Zaichenko²

2019

CNCS

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В даній статті досліджується два варіанти боротьби з міжсимвольною інтерференцією (МСІ) в багатопроменевому каналі зв'язку: застосування еквалайзерів і ортогонального часового мультиплексування. Метою статті є порівняння застосування еквалайзерів і ортогонального часового мультиплексування, як способів боротьби з МСІ по їх енергетичній ефективності. Розглянуто схеми побудови адаптивних еквалайзерів і застосування канального прекодера для реалізації ортогонального часового мультиплексування. В роботі показано, що при реалізації радіотехнічних систем, що працюють по каналах з МСІ вибір способу боротьби може визначатися розробником залежно від вимог, що пред'являються до такої системи. У каналах зі змінними параметрами, а таким є канал тропосферного зв'язку, адаптивні еквалайзери зі зворотнім зв'язком за рішенням можуть виявитися у боротьбі з МСІ краще OTDM-системи. Результати даної роботи можна використовувати при розробці мобільних цифрових тропосферних станцій спеціального призначення та комбінованих мобільних цифрових тропосферно-радіорелейних станцій.

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Lebesgue-type inequalities for the de la Valée-Poussin sums on sets of analytic functions

Cited by 20 publications

References 12 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

Боротьба З Міжсимвольною Інтерференцією За Допомогою Еквалайзерів І Ортогонального Часового Мультиплексування

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