Locally-adaptive Myriad Filtration of One-dimensional Complex Signal

Locally-adaptive algorithms of myriad filtering are proposed with adaptation of a sample myriad linearity parameter K, depending upon local estimates of a signal, and with “hard” switching of sliding window length settings and a coefficient which influences on the parameter K. Statistical estimates of the filters quality are obtained using a criterion of a minimum mean-square error for a model of one-dimensional complex signal that includes different elementary segments under conditions of additive Gaussian noise with zero mean and different variances and possible spikes presence. Improvement of integral and local performance indicators is shown in comparison to the highly effective non-linear locally-adaptive algorithms for the considered test signal. Having a complex signal of high efficiency, one of the proposed algorithms provides nearly optimal noise suppression at the segments of linear change of a signal; other algorithm provides higher quality of step edge preservation and the best noise suppression on a const signal. Better efficiency in cases of low and high noise levels is achieved by preliminary noise level estimation through comparison of locally-adaptive parameter and thresholds. It is shown that, in order to ensure better spikes removal, it is expedient to pre-process the signal by robust myriad filter with small window length. The considered adaptive nonlinear filters have possibility to be implemented in a real time mode

Intelligent Workload Scheduling in Distributed Computing Environment for Balance between Energy Efficiency and Performance

Global digital transformation requires more productive large-scale distributed systems. Such systems should meet lots of requirements, such as high availability, low latency and reliability. However, new challenges become more and more important nowadays. One of them is energy efficiency of large-scale computing systems. Many service providers prefer to use cheap commodity servers in their distributed infrastructure, which makes the problem of energy efficiency even harder because of hardware inhomogeneity. In this chapter an approach to finding balance between performance and energy efficiency requirements within inhomogeneous distributed computing environment is proposed. The main idea of the proposed approach is to use each node’s individual energy consumption models in order to generate distributed system scaling patterns based on the statistical daily workload and then adjust these patterns to match the current workload while using energy-aware Power Consumption and Performance Balance (PCPB) scheduling algorithm. An approach is tested using Matlab modeling. As a result of applying the proposed approach, large-scale distributed computing systems save energy while maintaining a fairly high level of performance and meeting the requirements of the service-level agreement (SLA)

Architecture and Operation Algorithms of Mobile Core Network with Virtualization

The analysis of the current situation in the wireless communication market shows an increase in the workload, which leads to an increase in the need in additional resources. However, the uneven loading of the infrastructure nodes leads to their loss of use; so, there is a need in introducing technologies that both do not lead to downtime of equipment and ensure the quality of load service during the day. An overview of the NFV virtualization technology has shown that it is appropriate to build wireless networks, since it provides the necessary flexibility and scalability. The method for determining the location and capacity of reserved computer resources of virtual network functions in the data centers of the mobile communication operator, method for determining the size of computing resources constant configuration time interval, and distributed method of local reconfiguration of the virtual network computing resources in the case of a failure or overload are proposed. Thus, configuration, operation, and reconfiguration processes in mobile core network with virtualized functions are described

Прискорення капіталізації банківської системи України за аспектами впливу іноземного інвестування

Розглянуто проблеми сучасного рівня капіталізації банківської системи України за аспектами позитивного і негативного впливу іноземного інвестування, запропоновано заходи збільшення капіталізації.The article deals with the problems of the current level of capitalization of the banking system of Ukraine taking into account the positive and negative aspects of the foreign investment influence; there were proposed measures of capitalization growth.Рассмотрены проблемы современного уровня капитализации банковской системы Украины по аспектам положительного и отрицательного влияния иностранного инвестирования, предложены меры увеличения капитализации

Design and baseline characteristics of the finerenone in reducing cardiovascular mortality and morbidity in diabetic kidney disease trial

Background: Among people with diabetes, those with kidney disease have exceptionally high rates of cardiovascular (CV) morbidity and mortality and progression of their underlying kidney disease. Finerenone is a novel, nonsteroidal, selective mineralocorticoid receptor antagonist that has shown to reduce albuminuria in type 2 diabetes (T2D) patients with chronic kidney disease (CKD) while revealing only a low risk of hyperkalemia. However, the effect of finerenone on CV and renal outcomes has not yet been investigated in long-term trials. Patients and Methods: The Finerenone in Reducing CV Mortality and Morbidity in Diabetic Kidney Disease (FIGARO-DKD) trial aims to assess the efficacy and safety of finerenone compared to placebo at reducing clinically important CV and renal outcomes in T2D patients with CKD. FIGARO-DKD is a randomized, double-blind, placebo-controlled, parallel-group, event-driven trial running in 47 countries with an expected duration of approximately 6 years. FIGARO-DKD randomized 7,437 patients with an estimated glomerular filtration rate >= 25 mL/min/1.73 m(2) and albuminuria (urinary albumin-to-creatinine ratio >= 30 to <= 5,000 mg/g). The study has at least 90% power to detect a 20% reduction in the risk of the primary outcome (overall two-sided significance level alpha = 0.05), the composite of time to first occurrence of CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. Conclusions: FIGARO-DKD will determine whether an optimally treated cohort of T2D patients with CKD at high risk of CV and renal events will experience cardiorenal benefits with the addition of finerenone to their treatment regimen. Trial Registration: EudraCT number: 2015-000950-39; ClinicalTrials.gov identifier: NCT02545049

КОМП’ЮТЕРНІ ОНТОЛОГІЇ – ТЕХНОЛОГІЧНА ОСНОВА ФОРМУВАННЯ ОСВІТЯНСЬКИХ ІНФОРМАЦІЙНИХ РЕСУРСІВ

Описуються підходи, моделі та засоби формування систем знань з метою подальшого розвитку  освітянських інформаційних ресурсів. Розглянуто онтологічний аспект проектування баз знань  навчального призначення. Визначаються онтологічні моделі, засоби лінгвістичного, структурного та функціонального  аналізу та побудови описів об’єктів навчальних дисциплін. Проведення досліджень у вказаному напрямку передбачає вирішення актуальних проблем підвищення ефективності використання освітянських інформаційних ресурсів на основі застосування сучасних інформаційно-комунікаційних технологій за допомогою засобів дистанційного доступу до розподілених систем знань

ROLE OF ONTOLOGY IN THE SYSTEM OF FORMATION OF EDUCATIONAL AND COGNITIVE COMPETENCES ON PHYSICS OF SECONDARY SCHOOL PUPILS

The article considers the structure of ontology on physics and its parts, which was built on the basis of webquest. We describe possibilities of modern computers program «GraphEditor», directing a route for pupils in their own theoretical research. Also, it was determined basic steps of the ontology and described how to use it in teaching. We analyzed didactic problems of the ontology application that establish visualization of ties when we use computers program «GraphEditor», as well as distinguished peculiarities of the ontology that organize an independent work of pupils. On the basis of regulatory documents proved the feasibility of the ontology as means of distance learning for upper-form pupils which are capable for research

STEM-EDUCATION: MAIN DEFINITIONS

The content analysis of key concepts of STEM is conducted. The essence of the new approach in education is established. The relevance of STEM education is related to the requirements of the world labor market. The content of the most demanded in the labor market of the XXI century, competencies and skills are presented in the article. The purpose, task, structure, content and expected results of the introduction and development of STEM-education in Ukraine are determined. Accordance of STEM-education with the conceptual foundations for the development of the "New Ukrainian School" is defined. The main definitions of STEM-education are offered. It was noted that a special place in the formation of its content is transdisciplinary approach, cognitive technologies in the organization of cognitive activity. Possible ways of further development of STEM-learning in Ukrainian education are considered