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Hasanov F.,King Abdullah Petroleum Studies and Research Center | Hasanov F.,George Washington University | Hasanov F.,Institute of Cybernetics | Bulut C.,Vistula University | Suleymanov E.,Qafqaz University
Renewable and Sustainable Energy Reviews | Year: 2017

The paper examines the energy-growth nexus in ten oil-exporting developing Eurasian countries: Azerbaijan, Bahrain, Iran, Kazakhstan, Kuwait, Oman, Qatar, Russia, Saudi Arabia and the UAE over the period 1997–2014. Lack of enough energy-growth nexus studies on the oil exporters of the Middle East and Commonwealth of Independent States coupled with a number of issues, which have not been addressed by prior studies motivate us to conduct this review. Policymakers should take into consideration that any policy measures aimed at conserving the Primary Energy Consumption can undermine economic growth, as we find that the growth hypothesis dominates in the Primary Energy Consumption-growth nexus. Conversely, validity of the neutrality hypothesis in the Residential Electricity Consumption-growth nexus, another finding of this study, implies that policymakers can pursue conservation policy by reconsidering the residential electricity subsidies in the selected countries. The study contributes to the energy-growth literature by addressing some issues and filling the gap for the Eurasian oil exporting countries, especially those in the Middle East and Commonwealth of Independent States. © 2017 Elsevier Ltd


Dutta S.,Vistula University | Skowron A.,University of Warsaw | Skowron A.,Polish Academy of Sciences
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2017

In this paper we take an attempt to depart from the closed way of presenting information table characterizing a vague concept with respect to a closed sample of objects, a fixed set of attributes, and a static time point. The aim is rather to have an interactive information system which is open to incorporate new information based on the interactions of an agent with the physical reality. This in turn prepares the ground for the notion of adaptive information system which incorporates the possibility of adapting decision strategies based on the history of making decisions over a period of time through interactions of an agent with the physical reality. © Springer International Publishing AG 2017.


Slowinski G.,Vistula University | Smolinski A.,Central Mining Institute of Poland
Journal of the Brazilian Chemical Society | Year: 2017

Solid iron based low or medium temperature chemical loop is considered as a possible option of hydrogen storage and production. In the method, hydrogen is produced via iron oxidation with steam, and in the next phase iron oxide is reduced with hydrogen, synthesis gas or methane. In the reduction stage the reaction is terminated when the atmosphere still contains a large fraction of the reducing agent (often over 70 vol.%). In the paper the innovative idea of a double, iron and germanium based, chemical cycle was proposed. The thermodynamic calculations show that the reduction stage in the double iron-germanium cycle is more effective than the classical iron based loop. ©2017 Sociedade Brasileira de Química.


Kuznicka E.,University of Warsaw | Gburzynski P.,Vistula University | Gburzynski P.,Olsonet Communications Corporation
Computers and Electronics in Agriculture | Year: 2017

We report on an experimental study aimed at establishing a framework for automated detection of suckling episodes in lamb. Suckling turns out to be an important element of the animal's behavior, because it occurs early in its development cycle and is directly linked to the fundamental predictors of its success. Our objective was to build an inexpensive, unobtrusive, maintenance-free, and energy-efficient device easily attachable to the lamb that would reliably detect suckling episodes and report them wirelessly to a data collection point. We demonstrate that suckling is characterized by a rather simple and distinguished acceleration signature which makes it possible to detect the event with relatively simple techniques easily implementable within low-end microcontrollers. We propose an algorithm to this end and assess its performance on acceleration data obtained from animals in a farm environment. Our algorithm has been able to detect 95% of all (actual) suckling episodes with less that 10% false indications. © 2017 Elsevier B.V.


Kowalewski O.,Warsaw School of Economics | Rybinski K.,Vistula University
Oxford Review of Economic Policy | Year: 2011

This article reviews the state's role in the transition economies of Central and Eastern Europe. Among the countries, Poland is perceived as the leader because it was the first economy to emerge from the decline following the transition, as well the only EU member state to survive the crisis without a recession. This success is often attributed to the high quality of government. However, we show that this popular perception is false and that state malfunctions on numerous fronts may soon impede Polish growth prospects. In Poland, the only bright spot is the quality of the financial supervision, which should serve as a role model for other countries. We attribute the malfunctions to the EU accession period that resulted in an unchecked growth of the government and contributed to the weakening of political and legal institutions. © The Authors 2012. Published by Oxford University Press.


Placzek S.,Vistula University
Proceedings of 2014 Science and Information Conference, SAI 2014 | Year: 2014

A Neural network with a feed-forward structure with one input, one hidden and one output layer can be presented as a hierarchical two-level structure with two independent subnetworks on both the first and the second level. This process is known as decomposition of an Artificial Neural Network (ANN) into two sub-networks. Two target functions are defined: the output target function Ψ, which defines an error function for all networks. The local target function Φ which defines the error of the first and second layer sub-network adjustment. For the coordination level, two independent functions are defined: G(V) for feed forward and H(V) for back forward. The coordinator ensures that learning algorithms for both levels, first and second, are concatenated. Solving local tasks provides for the achievement of the minimum of the global target function Ψ (global task). The article defines the obligatory conditions that have to be fulfilled (regarding both the first and the second level tasks), for the algorithm to be convergent and achieve the minimum of the global target function (the output function). A three-argument function allows us to study the general learning characteristics for both the first and the second level. Final results are discussed and the positive and negative parameters of the two stage learning algorithm are presented. Matrix weight coefficients are modified after each presentation of learning vectors X (input) and Z (output). © 2014 The Science and Information (SAI) Organization.


Zaitsev D.,Vistula University
Information Sciences | Year: 2016

When using Petri nets to investigate deadlock control, structural analysis techniques are applied, which are based on solving systems of linear algebraic equations. To gain an extra computational speed-up when solving sparse linear systems, we examine a sequential clan-composition process, represented by a weighted graph. The system decomposition into clans is represented by a weighted graph. The comparative analysis of sequential composition for subgraphs and edges (pairwise) is presented. The task of constructing a sequence of systems of lower dimension is called an optimal collapse of a weighted graph; the question whether it is NP-complete remains open. Upper and lower bounds for the collapse width, corresponding to the maximal dimension of systems, are derived. A heuristic greedy algorithm of (quasi) optimal collapse is presented and validated statistically. The technique is applicable for solving sparse systems over arbitrary rings (fields) with sign. © 2016 Elsevier Inc.


Zaitsev D.A.,Vistula University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

Finite classical Petri nets are non-Turing-complete. Two infinite Petri nets are constructed which simulate the linear cellular automaton Rule 110 via expanding traversals of the cell array. One net is obtained via direct simulation of the cellular automaton while the other net simulates a Turing machine, which simulates the cellular automaton. They use cell models of 21 and 14 nodes, respectively, and simulate the cellular automaton in polynomial time. Based on known results we conclude that these Petri nets are Turing-complete and run in polynomial time. We employ an induction proof technique that is applicable for the formal proof of Rule 110 ether and gliders properties further to the constructs presented by Matthew Cook. © Springer International Publishing Switzerland 2015.


Czaja L.,Vistula University | Czaja L.,University of Warsaw
CEUR Workshop Proceedings | Year: 2016

A new protocol using vectors of global timestamps for mutual exclusion in systems with Distributed Shared Memory (DSM) is described and some of its properties proved.


Placzek S.,Vistula University
CEUR Workshop Proceedings | Year: 2016

Two important issues have to be dealt with when implement-ing the hierarchical structure [1] of the learning algorithm of an Artificial Neural Network (ANN). The first one concerns the selection of the gen-eral coordination principle. Three different principles are described. They vary with regard to the degree of freedom for first-level tasks. The sec-ond issue concerns the coordinator structure or coordination algorithm. The ANN learning process can be examined as a two-level optimization problem. Importantly all problems and sub-problems are unstructured minimization tasks. The article concentrates on the issue of the coor-dinator structure. Using the interaction prediction principle as the most suitable principle for two-level ANN structures, different coordinator tar-get functions are defined. Using classification task examples, the main dynamic characteristics of the learning process quality are shown and analyzed.

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