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Anita Linka, Andrzej Frąckowiak and Agnieszka Wróblewska

Abstract

Aerobatics is a sport whose specificity significantly differs from other air disciplines. Aerial figures performed in a confined space (referred to as a ‘box’) are a challenge not only for the pilots, but also for the jury evaluating the competition. Subjective scores of the judges are converted by a dedicated FPS (Fair Play System) system. FPS is the basis for the ACRO scoring software (Aerobatic Contest Result Organizer) used to convert and publish the results of aerobatic contests organized worldwide. Due to the multi-aspect nature of data processing, the system is not always understood by the players. The paper attempts to explain various stages of calculations and explore issues associated with standard judging. This aspect is extremely important, not only for the competing pilots, but also for the judges and the viewers.

Open access

Alfred Brandowski, Andrzej Mielewczyk, Hoang Nguyen and Wojciech Frąckowiak

A Fuzzy - Neuron Model of the Ship Propulsion Risk Prediction

A prediction model is presented of the ship propulsion risk, i.e. a risk of the consequences of loss of the ship propulsion capability. This is an expert model based on opinions elicited by the ship power plant operators. The risk level depends, among other things, on the reliability state of the ship propulsion system components. This state is defined by operators in a linguistic form. The formal risk model parameters are determined by means of a neural network.

Open access

Magda Joachimiak, Andrzej Frąckowiak and Michał Ciałkowski

Abstract

A direct problem and an inverse problem for the Laplace’s equation was solved in this paper. Solution to the direct problem in a rectangle was sought in a form of finite linear combinations of Chebyshev polynomials. Calculations were made for a grid consisting of Chebyshev nodes, what allows us to use orthogonal properties of Chebyshev polynomials. Temperature distributions on the boundary for the inverse problem were determined using minimization of the functional being the measure of the difference between the measured and calculated values of temperature (boundary inverse problem). For the quasi-Cauchy problem, the distance between set values of temperature and heat flux on the boundary was minimized using the least square method. Influence of the value of random disturbance to the temperature measurement, of measurement points (distance from the boundary, where the temperature is not known) arrangement as well as of the thermocouple installation error on the stability of the inverse problem was analyzed.