Kazimierz Wielki University in Bydgoszcz

About: Kazimierz Wielki University in Bydgoszcz is a education organization based out in Bydgoszcz, Poland. It is known for research contribution in the topics: Luminescence & Population. The organization has 1109 authors who have published 2923 publications receiving 19548 citations. The organization is also known as: Casimir the Great University & Uniwersytet Kazimierza Wielkiego w Bydgoszczy.

Economization of discourse on education and pedagogization of economic problems: media debate on higher education reform in Poland

Abstract: The article presents results of research into the media debate on education in the context of higher education reform in Poland. The body of press materials comprised 884 texts. The theoretical bas...

Hexagonal boron nitride as a component of the iron porous bearing: friction on the porous sinters up to 150 °C

Abstract: In this work, various concentrations of h-BN were added to the sintered porous (27.8 %) bearings and tested with three different mineral oil lubricants (hydrocarbon and refined) of varying viscosities. Tests were carried out to a working temperature of 150 °C and the tribological properties of the sintered bearings were investigated. It was found that the optimum concentration (5 wt% h-BN) greatly improved these properties. These properties and their parameters such as hardness, wear resistance, friction coefficient, lubricant viscosity, friction forces, and temperature are discussed in depth.

Early History of Hungarian Ballet in Virtual Reality

Abstract: In this paper, we describe a system of threedimensional virtual spaces, which presents objects, facts, documents, and people connected to the beginning of Hungarian ballet, in particular to the first Hungarian prime ballerina and choreographer, Em´ilia Aranyv´ary. The venue of the visualization is the contemporary, virtually reconstructed building of the National Theater of Hungary.

Artificial Neural Networks as a Means for Making Process Control Charts User Friendly

Abstract: The paper discusses usability of various pattern recognition methods, especially based on artificial neural networks for decision making support in process control chart analysis. Their effectiveness for detecting process instability is compared with the effectiveness of a human operator and of a widely accessed commercial statistical software. The results are verified on the basis of data obtained from real production processes.