Numerical analysis of life of notched specimens subjected to complex bending with torsion

The authors analyzed life of specimens with rectangular sections and with notches (crack initiators). The specimens were loaded by amplitudes of bending and torsional moments, Mg and Ms respectively. The analysis was performed with use of the finite element method and the MSC Patran program using a modulus for fatigue calculations Fatigue. The analysis was done in order to select amplitudes of torsional and bending loading and determine fatigue life of the specimens made of 18G2A steel

Błogosławieństwo organów – wczoraj i dziś

The article presents the practice of blessing an organ pipe in the roman rite of thecatholic church. The author enlightens the blessings of the instrument in the liturgical lifeof the church, so that he can move on examine the various forms of blessing the organ,contained in the rituals. The history of the emergence of the ritual in the context of thelatest Vatican Council is also shown. Ending, the author presents a new form of the blessing,which is used in the archdiocese of Kraków in the last few years.Artykuł prezentuje praktykę błogosławieństwa organów w rycie rzymskim Kościoła katolickiego. Autor przybliża początki obecności organów w życiu liturgicznym Kościoła, by przejść następnie do analizy poszczególnych wersji błogosławieństwa organów obecnych w rytuałach. Przedstawiona jest również historia powstania tego obrzędu w kontekście ostatniej reformy soborowej. Na końcu autor prezentuje zupełnie nową formę błogosławienia organów, która od kilku lat jest używana na terenie archidiecezji krakowskiej

Silent Calls – Causes and Measurements, Journal of Telecommunications and Information Technology, 2015, nr 1

The quality of telephone services is very important from either operator or subscriber point of view. One of the negative phenomenon which affects quality of telephone services is lack of speech signal during a call. This situation occurs relatively frequently in mobile telephony, and is called silent call (SC). Lack of speech signal can occur only once or many times during the call, and degrade connection quality. In this paper, an analysis of this phenomenon is presented. The research base are the results of measurements mobile network one of operators in Trójmiasto a large urban area consisting of three cities: Gdańsk, Gdynia, and Sopot. To estimate impact of silent calls on speech quality, mean opinion score index was calculated using POLQA algorithm

Sorption of saturated and unsaturated hydrocarbons on selected coal sample from the Pniówek mine

Type, amount and composition of gases which form in rocks and coals during a metamorphism process depend on a number of factors in particular genetic type of original matter, way and conditions of its gathering, temperature, pressure and geological time. Sorption tests were done by the volumetric method, with the use of adsorption micro-burettes. Amajor advantage of the measurement set-up is that the surplus amounts of adsorbate can be used in experiments, which is of particular importance when handling sorbents with heterogeneous structure, such as hard coals. Sorbates used in the test program were the vapours of hexane, hex-1-ene, heptane, hept-1-ene, octane and benzene. Measurement results seem to corroborate the hypothesis that sorption of polar substance vapours is chiefly a surface process. Polarity of hard coals, mostly associated with the presence of reactive oxygen groups (nitrogen and sulphuric groups), largely affects the sorption of polar substances and in a most characteristic manner controls the sorption of apolar ones. In the case of the latter, sorption is induced by the action of the dispersive interaction force between the coal surface and the sorbate’s polar molecules. The pattern of sorption isotherms indicates that the presence of dual bond affects the sorbent-sorbate interactions and hence the sorption capacity of investigated coals

Experimental testing of methanol sorption on selected coal samples from Upper Silesian Basin

This paper summarises the results of methanol sorption on three selected coal samples from Polish collieries. These coals differ in terms of their degree of metamorphism (coal rank), petrography and elemental composition. It was found out that during the sorption of methanol, the sorption capacity is closely related to the structure of the coal surface and the amount of sorbed polar substance tends to decrease with the higher degree of metamorphism. Experimental data were plotted as isotherms. Empirical measurements were supported by thermodynamic analysis of aliphatic hydrocarbons sorption. The procedure is based on the Multisorption Model (MSM) designed for describing small molecules sorption in different types of carbonaceous materials (hard coals, lignites, active carbons)

Application of computational intelligence methods for the automated identification of paper-ink samples based on LIBS

Laser-induced breakdown spectroscopy (LIBS) is an important analysis technique with applications in many industrial branches and fields of scientific research. Nowadays, the advantages of LIBS are impaired by the main drawback in the interpretation of obtained spectra and identification of observed spectral lines. This procedure is highly time-consuming since it is essentially based on the comparison of lines present in the spectrum with the literature database. This paper proposes the use of various computational intelligence methods to develop a reliable and fast classification of quasi-destructively acquired LIBS spectra into a set of predefined classes. We focus on a specific problem of classification of paper-ink samples into 30 separate, predefined classes. For each of 30 classes (10 pens of each of 5 ink types combined with 10 sheets of 5 paper types plus empty pages), 100 LIBS spectra are collected. Four variants of preprocessing, seven classifiers (decision trees, random forest, k-nearest neighbor, support vector machine, probabilistic neural network, multi-layer perceptron, and generalized regression neural network), 5-fold stratified cross-validation, and a test on an independent set (for methods evaluation) scenarios are employed. Our developed system yielded an accuracy of 99.08%, obtained using the random forest classifier. Our results clearly demonstrates that machine learning methods can be used to identify the paper-ink samples based on LIBS reliably at a faster rate