Titlebook: Information and Software Technologies; 26th International C Audrius Lopata,Rita Butkienė,Vilma Sukackė Conference proceedings 2020 Springer

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Nerijus Šatkauskas,Algimantas Venčkauskas,Nerijus Morkevičius,Agnius Liutkevičiusdesign criteria were not found to be the reason for the accident..A check of the global response analysis revealed serious inaccuracies in the interpretation of results from the finite element analyses, giving a shear force in a critical section in cell walls that was less than 60% of the correct va

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Survey of Open-Source Clouds Capabilities Extensionustom scheduling optimization algorithm on popular cloud computing platforms. The cloud computing platform can be deployed as a private cloud on-premises or in dedicated data centre space, as a public service or as a combination of both. In this survey, we review similarities and differences of most

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A Novel Model Driven Framework for Image Enhancement and Object Recognitionrchitecture (MDA) is frequently applied for development of different systems like industry automation, medical, surveillance, tracking and security etc. Image processing is an integral part of such systems. Particularly, image enhancement and classification operations are mandatory in order to effec

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Knowledge-Based Generation of the UML Dynamic Models from the Enterprise Model Illustrated by the Ti) models generation, by using all collected data. UML models can be generated from the Enterprise Model by using certain transformation algorithms presented in previous researches. Generation process from the Enterprise model is illustrated by a particular Ticket Buying example. Generated UML dynami

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Research of Semi-automated Database Development Using Data Model Patternsd. A chosen method to semi-automate conceptual data model development was pattern based-approach. This paper introduces a data model patterns library and a CASE tool to use it. Furthermore, an experiment was conducted to test the abilities of a CASE tool. The purpose of the experiment was to test th

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Decision-Making Model at the Management of Hybrid Power Gridast of changes in the parameters of generation and electricity consumption in the Microgrid. The decision-making problem at the management of Hybrid Power Grids is formed in the conditions of uncertainty and incompleteness of the input information. It cannot be considered as an optimization problem

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Mining Data with Many Missing Attribute Values Using Global and Saturated Probabilistic Approximatio, based on rule induction, uses two types of probabilistic approximations, called global and saturated. Thus, we use four different ways of rule induction, applying two types of missing attribute values with two types of probabilistic approximations. We used ten-fold cross validation to estimate an

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