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Acquisition and introduction of Leopard 2A4 and 2A5 tanks for and into service in the Polish Armed Forces

Jasiński Grzegorz

Scientific Journal of the Military University of Land Forces

2022

Vol. 54, No. 4(206)

494--507

On the basis of literature on the subject and generally available public information, the author presents the process of acquisition and introduction of Leopard tanks for and into service in the Polish Armed Forces in the first two decades of the 21st century. He verifies the usefulness of this undertaking and at the same time shows, among others, problems related to technical capabilities of the Polish arms industry as well as provision of logistic support; above all, he uses this example to draw attention to the lack of continuity of actions and numerous changes in the plans for technical modernisation of the army in terms of armoured vehicles.

Autor na podstawie literatury przedmiotu oraz ogólnodostępnych informacji o charakterze jawnym przedstawia proces pozyskania i wdrożenia czołgów Leopard do służby w Siłach Zbrojnych RP w pierwszych dwóch dekadach XXI wieku. Weryfikuje celowość tego przedsięwzięcia, ukazując jednocześnie m.in. problemy związane z możliwościami technologicznymi polskiego przemysłu zbrojeniowego, zapewnieniem obsługi logistycznej, a przede wszystkim zwraca uwagę na tym przykładzie na brak ciągłości działań i liczne zmiany planów związanych z modernizacją techniczną armii w zakresie broni pancernej.

Evaluation of the NO2 concentration prediction possibility based on static and dynamic responses of TGS sensors at changing humidity levels

Kalinowski Paweł, Woźniak Łukasz, Jasiński Grzegorz, Jasiński Piotr

Metrology and Measurement Systems

2020

Vol. 27, nr 1

167--179

The commercially available metal-oxide TGS sensors are widely used in many applications due to the fact that they are inexpensive and considered to be reliable. However, they are partially selective and their responses are influenced by various factors, e.g. temperature or humidity level. Therefore, it is important to design a proper analysis system of the sensor responses. In this paper, the results of examinations of eight commercial TGS sensors combined in an array and measured over a period of a few months for the purpose of prediction of nitrogen dioxide concentration are presented. The measurements were performed at different relative humidity levels. PLS regression was employed as a method of quantitative analysis of the obtained sensor responses. The results of NO2 concentration prediction based on static and dynamic responses of sensors are compared. It is demonstrated that it is possible to predict the nitrogen dioxide concentration despite the influence of humidity.