The Informational Transparency of Credit Unions and Its Influence on Formation of the Depositary Behavior of Citizens

The article is aimed at analyzing the level of informational transparency of credit unions’ activities in Ukraine, developing measures to increase its level and studying its influence on the process of formation of the deposit behavior of citizens. The essence of the category of «informational transparency» is substantiated, the latter is proposed to be considered as an adequate level of availability of reliable information about the main aspects of activity of an economic entity. After analyzing the essence of informational transparency and its role in improving the efficiency of financial institutions, It is concluded that their activities are transparent subject to implementation of the list of conditions that have been defined. The level of informational transparency of credit unions is also analyzed, using the methodology developed by the author. Taking attenion of the results of the research, measures to increase the openness of information on the functioning of the mentioned institutions have been developed, the implementation of which will increase the level of trust of households to the activities of these institutions

Energy Security Assessment of Emerging Economies under Global and Local Challenges

This paper proposes methodological approaches to assessing the impact of renewable energy and energy efficiency development on emerging economies’ energy security. It is suggested to supplement the current methodology for assessing energy security with the decoupling index of the renewable energy financial burden on the state budget, the energy efficiency decoupling index, the households’ energy poverty indicator, the index of capacity development for balancing electricity generation volumes, and the energy fluctuations indicator. These indices provide a comprehensive assessment of energy security under the latest challenges. Thus, the COVID-19 pandemic in the Ukrainian energy sector led to the “green and coal paradox”, when the government decided to keep green electricity generation but limit nuclear generation. It required increased flexible capacities (thermal generation) and led to a rise in electricity prices and environmental pollution. Forecasting energy fluctuations with Butterworth filters allows minimizing the risks of maximum peak loads on the grid and timely prevention of emergencies. The energy fluctuations within the 20% range guarantee energy security and optimal energy companies’ operation. It is proposed to smooth out energy consumption fluctuations through green energy development, smart grids formation, energy efficiency improvements, and energy capacities balancing to ensure energy and economic sustainability

International economic relations and sustainable development

Монографія присвячена дослідженню теоретичних та практичних аспектів сталого розвитку на сучасному етапі міжнародних економічних відносин. Розглядаються інноваційні методичні підходи та економічні механізми забезпечення сталого розвитку на регіональному, національному та міжнародному рівнях. Наведено науково обгрунтовані рекомендації щодо досягнення економічних, соціальних та екологічних цілей сталого розвитку шляхом зміцнення інтеграційних процесів та міжнародного співробітництва між країнами світу.Монография посвящена исследованию теоретических и практических аспектов устойчивого развития на современном этапе международных экономических отношений. Рассмотрены инновационные методические подходы и экономические механизмы для обеспечения устойчивого развития на региональном, национальном и международном уровнях. Даны научно обоснованные рекомендации по достижению экономических, социальных и экологических целей устойчивого развития посредством укрепления интеграционных процессов и международного сотрудничества между странами мира.Monograph is devoted to the research of theoretical and practical aspects of the sustainable development at the present stage of international economic relations. Innovative methodic approaches and economic mechanisms to provide sustainable development at the regional, national and international levels are considered. Scientifically grounded recommendations to achieve economic, social and ecological aims of the sustainable development through the strengthening of integration processes and international cooperation between countries of the world are given

Development of A Concept for Building A Critical Infrastructure Facilities Security System

To effectively protect critical infrastructure facilities (CIF), it is important to understand the focus of cybersecurity efforts. The concept of building security systems based on a variety of models describing various CIF functioning aspects is presented. The development of the concept is presented as a sequence of solving the following tasks. The basic concepts related to cyberattacks on CIF were determined, which make it possible to outline the boundaries of the problem and determine the level of formalization of the modeling processes. The proposed threat model takes into account possible synergistic/emergent features of the integration of modern target threats and their hybridity. A unified threat base that does not depend on CIF was formed. The concept of modeling the CIF security system was developed based on models of various classes and levels. A method to determine attacker's capabilities was developed. A concept for assessing the CIF security was developed, which allows forming a unified threat base, assessing the signs of their synergy and hybridity, identifying critical CIF points, determining compliance with regulatory requirements and the state of the security system. The mathematical tool and a variety of basic models of the concept can be used for all CIFs, which makes it possible to unify preventive measures and increase the security level. It is proposed to use post-quantum cryptography algorithms on crypto-code structures to provide security services. The proposed mechanisms provide the required stability (230–235 group operations), the rate of cryptographic transformation is comparable to block-symmetric ciphers (BSC) and reliability (Perr 10–9–10–12

Patterns Identification in the Dynamics of Countries' Technological Development in the Context of Military Conflict

A comparative assessment of the dynamics of technological development of Ukraine and Russia for 2014–2019 has been carried out in the context of the Russian-Ukrainian war. A method for assessing the economic losses of the conflicting parties due to a slowdown in their technological development, under the influence of militarization, based on the parameter of technological progress of the Solow-Tinbergen production function, built according to the World Bank 1991–2019 data, was proposed and tested. It is substantiated that during the Russian-Ukrainian war, starting from 2015, the technological development of the Russian Federation was curtailed and the economy transitioned to an extensive basis, when the parameter of technological progress acquired a negative value. In the case of Ukraine, a deterioration in technological development was detected due to a decrease in the values of the parameter of technological progress during 2014–2019. It has been proven that the economic recession of the aggressor is the worst in comparison with the victim country, but the relative losses of GDP due to the curtailment of technological development caused by the war are much less. In the case of the Russian Federation as an aggressor country, it is substantiated that the main catalyst for the economic recession was the curtailment of the participation of the real sector of the economy in the International transfer of technologies under the influence of International economic sanctions. In the case of Ukraine, as a country-victim of military intervention, it is justified that the replacement of International partnership in the field of technological cooperation ensured a slowdown in the economic recession. The results of the development of methodological support for the process of assessing GDP losses of the parties to a military conflict are universal for use in International comparisons. The proposed methods are relevant in assessing the technological development of countries that are or were in a state of military confrontation, which significantly expands the basis for future research by the author

Adsorptive Solar Refrigerators Based on Composite Adsorbents ’Silica Gel – Sodium Sulphate’

The operation processes of adsorptive solar refrigerators based on composite adsorbents ‘silica gel - sodium sulphate’ were studied. The correlation between the adsorbent composition and the coefficient of the energy performance of the device was stated. As a consequence of the decreasing of adsorbent mass, the coefficient of performance is increased when sodium sulphate content in the composite increased. Effect of the regeneration process parameters on the composite on the coefficient of performance of the adsorptive refrigenerator was stated. The growth of the coefficient of performance is shown to result from decreasing the difference between adsorbent temperature and regeneration temperature from 85 to 55°C. The maximum values of the coefficient of performance of studied solar adsorptive refrigenerator about of 1.14 are stated for composites containing about 20 wt. % silica gel and 80 wt. % sodium sulphate

Development of an Algorithm to Train Artificial Neural Networks for Intelligent Decision Support Systems

The algorithm to train artificial neural networks for intelligent decision support systems has been constructed. A distinctive feature of the proposed algorithm is that it conducts training not only for synaptic weights of an artificial neural network, but also for the type and parameters of membership function. In case of inability to ensure the assigned quality of functioning of artificial neural networks due to training of parameters of artificial neural network, the architecture of artificial neural networks is trained. The choice of the architecture, type and parameters of membership function occurs taking into consideration the computation resources of the facility and taking into consideration the type and the amount of information entering the input of an artificial neural network. In addition, when using the proposed algorithm, there is no accumulation of an error of artificial neural networks training as a result of processing the information entering the input of artificial neural networks.Development of the proposed algorithm was predetermined by the need to train artificial neural networks for intelligent decision support systems in order to process more information given the unambiguity of decisions being made. The research results revealed that the specified training algorithm provides on average 16–23 % higher the efficiency of training artificial neural networks training that is on average by 16–23 % higher and does not accumulate errors in the course of training. The specified algorithm will make it possible to conduct training of artificial neural networks; to determine effective measures to enhance the efficiency of functioning of artificial neural networks. The developed algorithm will also enable the improvement of the efficiency of functioning of artificial neural networks due to training the parameters and the architecture of artificial neural networks. The proposed algorithm reduces the use of computational resources of decision support systems. The application of the developed algorithm makes it possible to work out the measures aimed at improving the effectiveness of training artificial neural networks and to increase the efficiency of information processin

Development of Estimation and Forecasting Method in Intelligent Decision Support Systems

The method of estimation and forecasting in intelligent decision support systems is developed. The essence of the proposed method is the ability to analyze the current state of the object under analysis and the possibility of short-term forecasting of the object state. The possibility of objective and complete analysis is achieved through the use of improved fuzzy temporal models of the object state, an improved procedure for forecasting the object state and an improved procedure for training evolving artificial neural networks. The concepts of a fuzzy cognitive model, in contrast to the known fuzzy cognitive models, are connected by subsets of fuzzy influence degrees, arranged in chronological order, taking into account the time lags of the corresponding components of the multidimensional time series. This method is based on fuzzy temporal models and evolving artificial neural networks. The peculiarity of this method is the ability to take into account the type of a priori uncertainty about the state of the analyzed object (full awareness of the object state, partial awareness of the object state and complete uncertainty about the object state). The ability to clarify information about the state of the monitored object is achieved through the use of an advanced training procedure. It consists in training the synaptic weights of the artificial neural network, the type and parameters of the membership function, as well as the architecture of individual elements and the architecture of the artificial neural network as a whole. The object state forecasting procedure allows conducting multidimensional analysis, consideration and indirect influence of all components of a multidimensional time series with different time shifts relative to each other under uncertainty

SYNERGY OF BUILDING CYBERSECURITY SYSTEMS

The development of the modern world community is closely related to advances in computing resources and cyberspace. The formation and expansion of the range of services is based on the achievements of mankind in the field of high technologies. However, the rapid growth of computing resources, the emergence of a full-scale quantum computer tightens the requirements for security systems not only for information and communication systems, but also for cyber-physical systems and technologies. The methodological foundations of building security systems for critical infrastructure facilities based on modeling the processes of behavior of antagonistic agents in security systems are discussed in the first chapter. The concept of information security in social networks, based on mathematical models of data protection, taking into account the influence of specific parameters of the social network, the effects on the network are proposed in second chapter. The nonlinear relationships of the parameters of the defense system, attacks, social networks, as well as the influence of individual characteristics of users and the nature of the relationships between them, takes into account. In the third section, practical aspects of the methodology for constructing post-quantum algorithms for asymmetric McEliece and Niederreiter cryptosystems on algebraic codes (elliptic and modified elliptic codes), their mathematical models and practical algorithms are considered. Hybrid crypto-code constructions of McEliece and Niederreiter on defective codes are proposed. They can significantly reduce the energy costs for implementation, while ensuring the required level of cryptographic strength of the system as a whole. The concept of security of corporate information and educational systems based on the construction of an adaptive information security system is proposed