Temat: density measures - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Application of Postflotation Tailings in Hydroengineering Structures
Autorzy:: Stefaniak, K.
Wróżyńska, M.
Kroll, M.
Powiązania:: https://bibliotekanauki.pl/articles/952360.pdf
Data publikacji:: 2017
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: postflotation tailings
earthen dams
density measures
grain size parameters
Opis:: Economic development stimulated by the increased demand for production of consumer goods and the growing human population result in increasing the amounts of various wastes, including tailings. Mining industry in Poland, comprising also mining of non-ferrous metal ores, is a strategic branch of the national economy and, at the same time, a leading waste producer. Tailings management is a significant problem both in Poland and worldwide. Frequently, considerable amounts of wastes are accumulated in mine spoil tips, in areas not always suitable for their deposition, thus leading to the degradation of the surrounding environment. At the huge volume of produced wastes their rational and economically viable management is becoming crucial. On the other hand, depletion of natural aggregate deposits is an important incentive to search for substitutes, which would be suitable for the development of road infrastructure or which could be used in earth structure engineering to construct hydroengineering objects. Since no profitable recovery technologies are available at present, tailings generated by copper mining are deposited in tailings storage facilities. The largest and at the same time the only currently operating facility in Poland is the Żelazny Most Mining Tailings Storage Facility, belonging to KGHM Polska Miedź S.A. The paper presents criteria for material quality and density imposed on the material embedded in the static core of the tailings pond dam. For this purpose studies were conducted to confirm applicability of sorted tailings as a material for the construction of earth structures.
Źródło:: Journal of Ecological Engineering; 2017, 18, 1; 113-118
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Outside the box : an alternative data analytics framework
Autorzy:: Angelov, P.
Powiązania:: https://bibliotekanauki.pl/articles/950988.pdf
Data publikacji:: 2014
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: data density
proximity measures
RDE
data
analytics
data-driven approaches
machine learning
Bayesian
Opis:: In this paper, an alternative framework for data analytics is proposed which is based on the spatially-aware concepts of eccentricity and typicality which represent the density and proximity in the data space. This approach is statistical, but differs from the traditional probability theory which is frequentist in nature. It also differs from the belief and possibility-based approaches as well as from the deterministic first principles approaches, although it can be seen as deterministic in the sense that it provides exactly the same result for the same data. It also differs from the subjective expert-based approaches such as fuzzy sets. It can be used to detect anomalies, faults, form clusters, classes, predictive models, controllers. The main motivation for introducing the new typicality- and eccentricity-based data analytics (TEDA) is the fact that real processes which are of interest for data analytics, such as climate, economic and financial, electro-mechanical, biological, social and psychological etc., are often complex, uncertain and poorly known, but not purely random. Unlike, purely random processes, such as throwing dices, tossing coins, choosing coloured balls from bowls and other games, real life processes of interest do violate the main assumptions which the traditional probability theory requires. At the same time they are seldom deterministic (more precisely, have always uncertainty/noise component which is nondeterministic), creating expert and belief-based possibilistic models is cumbersome and subjective. Despite this, different groups of researchers and practitioners favour and do use one of the above approaches with probability theory being (perhaps) the most widely used one. The proposed new framework TEDA is a systematic methodology which does not require prior assumptions and can be used for development of a range of methods for anomalies and fault detection, image processing, clustering, classification, prediction, control, filtering, regression, etc. In this paper due to the space limitations, only few illustrative examples are provided aiming proof of concept.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 2; 29-35
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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