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Tutak Magdalena

Multidisciplinary Aspects of Production Engineering

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2021

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Vol. 4, Iss. 1

86--96

EN

Energy and climate issues are an essential part of the sustainable development process of the EU countries. They are also one of the primary objectives of international policy, as evidenced by their inclusion in Agenda 2030, adopted by the UN in 2015 among the Sustainable Development Goals. The implementation of these goals is also taking place in the EU countries. Although climate protection and energy transition activities have been undertaken in the EU for years, individual countries significantly vary in this regard. The aim of the research, the results of which are presented in this paper, was to analyze similarities between the EU countries in terms of sustainable energy and climate development. The analysis was conducted for all EU countries, based on 14 indicators characterizing energy and climate sustainability, in energy, climate, social and economic dimensions. Kohonen’s artificial neural networks were used for analysis. The research was conducted for data from the period between 2009-2018. The results showed that in the studied period (10 years), significant differences were found between the EU countries. A high level of energy and climate development was reported for Sweden, Denmark, Austria and France, among other states, and a low level for e.g., the Czech Republic, Poland and Bulgaria.

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Exploring relative instances of exposure in equilibrium of migration processes based on population characteristics

Pitlik L., Kollár P., Fülöp Z., Madarász I.

Managerial Economics

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2017

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Vol. 18, no. 2

183--199

EN

Cybernetic states of law try to plan each activity – especially migration issues. The planning process has the following question originating in socio-cybernetics in its core: Where can it be assumed that the population characteristics are higher/lower than rational? The planning levels can be different: from the continent or country levels via statistic regions or micro-regions to settlements (even at the street and house levels). Parallel to the aggregation like population density (or annual growth rate), models can also be developed for arbitrary layers of demographical statistics, like the required ratio of males and females in different age-groups and/or education categories, etc. The models can analyze time-periods (e.g., years, time intervals) to ensure that dynamic processes will not actually be covered through static evaluation. The necessary data asset (a kind of Big Data) is given by OECD/ EUROSTAT, for example The questions and data assets are well-known. The modeling methodology consists of potential know-how: through estimations of staircase functions in the framework of online similarity analyses, regional norm values can be derived for targeted population characteristics. Therefore, the European strategy concerning the integration of massive volumes of migrants can be supported in an objective way. Analogue analyses with the same methodology have already been derived for parts of Germany and Hungary. Similarity analysis is an artificial intelligence-based approach with its own consistence-oriented quality assurance layers. The data-driven policy creation needs methodologies where objectivity is provided through optimization in the modeling based on arbitrary phenomena. The modeling philosophy should try to ensure a kind of regional multi-layered equilibrium (sustainability, cf. Kazohinia). The outlined methodology can be seen as a sort of automated SWOT analysis where each conclusion will be derived from the raw statistics in a direct way – without the risk of human subjectivity intervening in the process. The modeling spectrum consists of three levels: (1) Explorative modeling is able to derive basic characteristics for ceteris paribus perspectives through the complex functions. The standard analytical potential works with ceteris paribus parameters, based on the appropriate literature sources. (2) Antidiscriminative modeling is capable of deriving ranks for objects without an actual learning pattern, for the so-called production functions. (3) A cybernetic state of law should be able to have robot-planning values supporting human decision processes. Therefore, 'freedom of press' is basically the capability to explore and publish objective force fields and not to catalyze the spread of subjective evaluations.

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Outlier mining using the DBSCAN algorithm

Nowak-Brzezińska A., Xięski T.

Journal of Applied Computer Science

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2017

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Vol. 25, nr 2

53--68

EN

This paper introduces an approach to outlier mining in the context of a real-world dataset containing information about the mobile transceivers operation. The goal of the paper is to analyze the influence of using different similarity measures and multiple values of input parameters for the densitybased clustering algorithm on the number of outliers discovered during the mining process. The results of the experiments are presented in section 4 in order to discuss the significance of the analyzed parameters.

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Outlier mining in rule-based knowledge bases

Nowak-Brzezińska A.

Journal of Applied Computer Science

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2017

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Vol. 25, nr 2

7--27

EN

This paper introduces an approach to outlier mining in the context of rule-based knowledge bases. Rules in knowledge bases are a very specific type of data representation and it is necessary to analyze them carefully, especially when they differ from each other. The goal of the paper is to analyze the influence of using different similarity measures and clustering methods on the number of outliers discovered during the mining process. The results of the experiments are presented in Section 6 in order to discuss the significance of the analyzed parameters.

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Numerical solution of non-Newtonian fluids flow past an accelerated vertical infinite plate in the presence of free convection currents

Patel M., Timol M. G.

International Journal of Applied Mechanics and Engineering

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2013

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Vol. 18, no. 3

761--777

EN

A similarity analysis of non-Newtonian fluid flow past an accelerated vertical infinite plate in the presence of free convection current is carried out. A group theoretic generalized dimensional analysis is employed to achieve the governing non-linear ordinary differential equations in the most general form. Numerical solutions of these equations are given with the plot of their velocity profiles with the effects of Pr-Prandtl number and Gr-Grashof number.

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Analiza podobieństwa obrazów sekwencji szeregów czasowych obciążeń elektroenergetycznych

Dudek G.

Przegląd Elektrotechniczny

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2009

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R. 85, nr 3

149-152

PL

Przedstawiono metody analizy podobieństwa obrazów sekwencji szeregów czasowych obciążeń elektroenergetycznych. Silne zależności pomiędzy obrazami sekwencji poprzedzających moment prognozy oraz obrazami sekwencji prognozowanych pozwalają budować modele prognostyczne oparte na podobieństwie obrazów. Dla kilku definicji obrazów i metod obliczania odległości pomiędzy obrazami przeprowadzono analizy oparte na tablicach wielodzielczych i teście chi kwadrat.

EN

The similarity analysis methods of the electrical load time series sequence patterns are presented. The strong relationship between patterns of the sequences preceding the forecast moment and the patterns of the forecasted sequences allows to create the similarity-based forecasting models. For several definitions of patterns and methods of the distance calculation the analyses based on the contingency tables and the chi-square test were performed.