Technocenological approach and problem of energy efficiency improvement

Обґрунтовано проблеми ефективного використання енергоресурсів та проблеми раціонального використання енергоспоживання, оскільки існуючий потенціал енергозбереження досить великий. Розглянуто питання застосування техноценологічного підходу для оптимального управління енергоспоживанням з використанням рангового аналізу, що включає в себе процедури інтервального оцінювання, параметричного нормування, прогнозування та стандартизації споживання ресурсів. Як математичний апарат використовується ранговий аналіз, який відноситься до методу дослідження техноценозу енергоспоживання, що передбачає подальшу оптимізацію на основі критеріїв форми гіперболічних H-розподілів. Представлено алгоритм проведення рангового аналізу для прогнозування споживання енергії та оптимізації техноценозу. Наведено практичний приклад оптимізації техноценозів і показаний рангово-параметричний розподіл техноценозу по параметру споживання електроенергії.The article considers the problems of efficient use of energy resources and the problems of rational use of energy from energy consumers is justified, because the existing energy saving potential is quite large. The question of application of the technocenological approach for optimal management of energy consumption with the use of rank analysis, which includes procedures of interval estimation, parametric rationing, forecasting and standardization of consumption of resources is considered. As a mathematical apparatus, a rank analysis is used, which refers to the method of researching the technocenosis of energy consumption, which implies further optimization based on the criteria of the form of hyperbolic H-distributions. The paper presents an algorithm for conducting rank analysis for forecasting power consumption and technocenose optimization. The practical example of technocenose optimization is presented and the rank-parametric distribution of technocenosis is shown on the parameter of electric consumption

Observations of Sy2 galaxy NGC 3281 by XMM-Newton and INTEGRAL satellites

We present here the results of our analysis of X-ray properties of Seyfert 2 galaxy NGC 3281, based on the observational data obtained by XMM-Newton and INTEGRAL within the energy ranges 0.2-12 keV and 20-150 keV, respectively. The XMM-Newton spectrum of this object is presented for the first time. We show that fitting the X-ray spectrum of this galaxy with models based on the reflection from the disc with infinite column density yields non-physical results. More appropriate fit takes into account both transmitted and reflected emission, passed through a gas-dusty torus-like structure. Keeping this in mind, to model the inhomogeneous clumpy torus, we used the MYTorus model. Hence, we propose that the torus of NGC 3281 is not continuous structure, but it consists of separate clouds, which is in a good agreement with the results of near-IR observations. Using this assumption, we found that the torus inclination angle and the hydrogen column density are 66.98^{+2.63}_{-1.34} degrees and 2.08^{+0.35}_{-0.18}x10^{24} cm^{-2}, respectively. Also, the emission of the hot diffuse gas with temperature ~590 eV and warm absorption were detected.Comment: 8 pages, 5 figures, 2 tables, accepted for publication in Advances in Astronomy and Space Physic

Rola rodziców w rozwoju umiejętności czytania dzieci

The article deals with the development of children’s reading skills that are regarded as the major foundational skills for all school-based learning, academic and occupational success. Thus, parents can and should play a significant role in helping their children to develop reading skills and in encouraging their growth in this respect. It is often emphasised that starting early is the best way for parents to prepare their child for school and life progress. As parents can have a huge impact on how quickly their children learn to read, the ways parents can help their children with reading are suggested in the article. It also includes activities for families with children that can make learning experiences out of the everyday routines in which parents and their children participate if they want to help children to gain the skills they need to become readers. The resulting steps that parents can take to help the child become a successful reader are offered. The author considers that it is important for parents to know what children like in books and the kinds of books that are the most suitable for children at different ages, and that the books that parents pick to read with the child are very important.Artykuł dotyczy rozwoju umiejętności czytania dzieci, która jest uważana za podstawową umiejętność szkolną, akademicką i zawodowego sukcesu. Rodzice mogą i powinni odgrywać znaczącą rolę w pomaganiu dzieciom w rozwijaniu umiejętności czytania i zachęcaniu ich do rozwoju w tym zakresie. Podkreśla się, że wczesne rozpoczynanie nauki jest najlepszym sposobem, aby rodzice przygotowali swoje dziecko do rozwoju szkoły i życia. Podkreśla się, że jak najszybciej nauka czytania jest najlepszym sposobem, aby rodzice przygotowywali swoje dziecko do pomyślnych osiągnięć w szkole i życiu. Ponieważ rodzice mogą mieć ogromny wpływ na to, jak szybko ich dzieci uczą się czytać, w artykule zasugerowano sposoby, które rodzice mogą zastosować by pomóc swoim dzieciom w czytaniu. Obejmuje również zajęcia dla rodzin z dziećmi, które sprawiają, że doświadczenia edukacyjne wychodzą z codziennych zajęć, w których uczestniczą rodzice i ich dzieci, jeśli chcą pomóc dzieciom zdobyć umiejętności, których potrzebują, aby stać się czytelnikami. Można zaproponować następujące kroki, które rodzice mogą podjąć, aby dziecko mogło być szczęśliwym czytelnikiem. Autorka uważa, że wiedza na temat tego, co dzieci lubią w książkach i rodzaj książek najbardziej odpowiednich dla dzieci w różnym wieku, jest ważna dla zrozumienia przez rodziców. Podkreśla się, że książki, które rodzice wybierają do czytania z dzieckiem są bardzo ważne

Nonequilibrium transport equations and ab initio study of adsorption processes on carbon nanotubes

In a theoretical study of gas adsorption on carbon nanotubes (CNT) nonequilibrium processes of ionization, polarization, surface diffusion and desorption of atoms are considered self-consistently. The approach is based on Zubarev's method of nonequilibrium statistical operator and reaction-diffusion theory. The set of nonlinear transport equations are obtained for the chosen parameters of description: the average numbers of adsorbed atoms, ionized and polarized atoms in the electromagnetic field of CNT, and the average number of atoms desorbed from the CNT surface. Ab initio simulations are conducted for a "gas-single wall carbon nanotube" system for gases of particular practical interest: He and NO. The obtained values of adsorption energy reveal preferable localization sites of absorbed He atoms as well as their dependency on adsorption distances. A significant effect of NO adsorption on CNT electronic properties is demonstrated. The effect of presence of vacancies on adsorption nature is analyzed. It is shown that under the influence of vacancy formation the CNT structure undergoes reconstruction that enables chemisorption of NO molecules.Comment: 12 pages, 4 figure

Machine learning technique for morphological classification of galaxies at z<0.1 from the SDSS

Methods. We used different galaxy classification techniques: human labeling, multi-photometry diagrams, Naive Bayes, Logistic Regression, Support Vector Machine, Random Forest, k-Nearest Neighbors, and k-fold validation. Results. We present results of a binary automated morphological classification of galaxies conducted by human labeling, multiphotometry, and supervised Machine Learning methods. We applied its to the sample of galaxies from the SDSS DR9 with redshifts of 0.02 < z < 0.1 and absolute stellar magnitudes of 24m < Mr < 19.4m. To study the classifier, we used absolute magnitudes: Mu, Mg, Mr , Mi, Mz, Mu-Mr , Mg-Mi, Mu-Mg, Mr-Mz, and inverse concentration index to the center R50/R90. Using the Support vector machine classifier and the data on color indices, absolute magnitudes, inverse concentration index of galaxies with visual morphological types, we were able to classify 316 031 galaxies from the SDSS DR9 with unknown morphological types. Conclusions. The methods of Support Vector Machine and Random Forest with Scikit-learn machine learning in Python provide the highest accuracy for the binary galaxy morphological classification: 96.4% correctly classified (96.1% early E and 96.9% late L types) and 95.5% correctly classified (96.7% early E and 92.8% late L types), respectively. Applying the Support Vector Machine for the sample of 316 031 galaxies from the SDSS DR9 at z < 0.1, we found 141 211 E and 174 820 L types among them.Comment: 10 pages, 5 figures. The presentation of these results was given during the EWASS-2017, Symposium "Astroinformatics: From Big Data to Understanding the Universe at Large". It is vailable through \url{http://space.asu.cas.cz/~ewass17-soc/Presentations/S14/Dobrycheva_987.pdf