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PL
Zgodnie z wymogami zarządzania danymi z wielu systemów, informatyzacja przedsiębiorstw petrochemicznych uległa znaczącym zmianom. Analizie poddano problemy konwencjonalnych metod podejmowania decyzji w przedsiębiorstwach petrochemicznych. W celu ich przezwyciężenia zbadano technologię przetwarzania w chmurze. Technologia ta może pomóc w eksploracji metod optymalizacji wspólnego podejmowania decyzji przy użyciu aplikacji rozproszonego przetwarzania danych MapReduce. Połączenie optymalizacji zarządzania zasobami przedsiębiorstwa petrochemicznego i technologii przetwarzania w chmurze umożliwia wspólne podejmowanie decyzji. Korzysta się tu z zalet równoległego stosowania tej technologii w celu reorganizacji działań osób odpowiedzialnych za decyzje w różnych działach. Dzięki temu podejmujący decyzje mogą poprawić współpracę i uzyskać zoptymalizowane możliwości przetwarzania danych o zasobach przedsiębiorstwa z wielu systemów. Analizując wspólne działanie w połączeniu z procesem informatyzacji wybranego przedsiębiorstwa oraz perspektywy zastosowań, osiągnięto zwiększenie wydajności w wyniku zarządzania przedsiębiorstwem petrochemicznym.
EN
The conventional decision making methods for petrochem. enterprises were analyzed and compared with cloud computing technol. For optimizing the collaborative decision making by using the MapReduce-distributed processing framework. This framework benefited from an advantage of parallel processing the cloud-computing technol. to reorganize the decision members in particular departments. This reorganization allowed decision members of an improvement of the collaboration with each other and achieving an optimized enterprise resource data processing capability from multiple systems.
EN
In this paper, we investigate the multiple attribute decision making problems with Pythagorean fuzzy information. Then, we utilize arithmetic and geometric operations to develop some Pythagorean fuzzy interaction aggregation operators: Pythagorean fuzzy interaction weighted average (PFIWA) operator, Pythagorean fuzzy interaction weighted geometric (PFIWG) operator, Pythagorean fuzzy interaction ordered weighted average (PFIOWA) operator, Pythagorean fuzzy interaction ordered weighted geometric (PFIOWG) operator, Pythagorean fuzzy interaction hybrid average (PFIHA) operator, Pythagorean fuzzy interaction hybrid geometric (PFIHG) operator, Pythagorean fuzzy interaction correlate aggregation operators, Pythagorean fuzzy interaction induced aggregation operators, Pythagorean fuzzy interaction induced correlate aggregation operators, Pythagorean fuzzy interactive power arithmetic and geometric aggregation operators. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the Pythagorean fuzzy multiple attribute decision making problems. Finally, a practical example for selecting the service outsourcing provider of communications industry is given to verify the developed approach and to demonstrate its practicality and effectiveness.
EN
In this paper, we investigate the multiple attribute decision making (MADM) problem based on the arithmetic, geometric aggregation operators and Hamacher operations with picture fuzzy information. Then, motivated by the ideal of traditional arithmetic, geometric aggregation operators and Hamacher operations, we have developed some aggregation operators for aggregating picture fuzzy information: picture fuzzy Hamacher aggregation operators, picture fuzzy Hamacher geometric aggregation operators, picture fuzzy Hamacher correlated aggregation operators, induced picture fuzzy Hamacher aggregation operators, induced picture fuzzy Hamacher correlated aggregation operators, picture fuzzy Hamacher prioritized aggregation operators, picture fuzzy Hamacher power aggregation operators. Then, we have utilized these operators to develop some approaches to solve the picture fuzzy multiple attribute decision making problems. Finally, a practical example for enterprise resource planning (ERP) system selection is given to verify the developed approach and to demonstrate its practicality and effectiveness.
EN
Reduction of FeO-bearing molten slag using solid-carbon, existing in primary slag of blast furnace (BF), consumes much BF energy. It is also a limit for BF efficiency. In this paper, reduction kinetics behavior of FeO-CaO-SiO2-MgO-Al2O3 molten slag (primary slag of BF) was investigated, and the restrictive step of the reaction was identified. It has been found that the reduction process of FeO-CaO-SiO2-MgO-Al2O3 BF slag using solid-carbon is a second-order reaction. And the reduction process is controlled by both diffusion of FeO and gasification reaction of carbon in molten slag. The apparent activation energy of reaction is 342.37 kJ/mol, the diffusion activation energy of FeO in molten slag is 355 kJ/mol, and the gasification reaction activation energy of carbon is 152.98 kJ/mol. Additionally, it is also concluded that reduction rate is influenced by temperature (T), mass fraction of FeO (w(FeO)), and basicity (R) of the slag. Moreover, a reduction model of this slag system was established and verified by a series of experiments.
EN
According to complex geological conditions of working face E1108 in Xin-ji mine #2, loading and running characteristic of hydraulic support, influence of depression angle on mining pressure behaviors, as well as relation between advancing speed and the support loading were measured and analyzed. The results indicate that depression angle is inversely proportional to support resistance, in other words, larger depression angle area coincides with lower support resistance area. Moreover, support resistance is generally high when working face advancing speed is slow. Technologies for controlling hydraulic support stability such as improving advancing speed properly, controlling mining height and increasing support resistance are put forward based on research.
PL
Z uwzględnieniem złożonych warunków geologicznych w ścianie E1108 w kopalni Xin-Ji #2 dokonano pomiarów i analiz obciążenia i działania podpór hydraulicznych, zbadano wpływ kąta depresji na wielkość ciśnienia poziomu wydobywczego, a także zależność pomiędzy szybkością posuwania się na przodku i obciążeniem podpór. Wyniki analiz wskazują, że kąt depresji jest odwrotnie proporcjonalny do wytrzymałości podpory. Przy większych wartościach kąta depresji mamy do czynienia z obszarem gdzie wytrzymałość podpór jest niższa. Ogólnie rzecz biorąc, wytrzymałość podpory jest zazwyczaj wysoka dla niewielkich prędkości posuwania się na przodku. W pracy przedstawiono metody kontroli stabilności podpór hydraulicznych poprzez regulację szybkości posuwania się przodka, regulację wysokości wybierania oraz poprzez zwiększenie wytrzymałości podpór.
EN
In this paper, we investigate the multiple attribute decision making (MADM) problem based on the Hamacher aggregation operators with dual Pythagorean hesitant fuzzy information. Then, motivated by the ideal of Hamacher operation, we have developed some Hamacher aggregation operators for aggregating dual hesitant Pythagorean fuzzy information. The prominent characteristic of these proposed operators are studied. Then, we have utilized these operators to develop some approaches to solve the dual hesitant Pythagorean fuzzy multiple attribute decision making problems. Finally, a practical example for supplier selection in supply chain management is given to verify the developed approach and to demonstrate its practicality and effectiveness.
7
Content available remote QoE Optimized Resource Allocation in Multiuser OFDM Systems
EN
The resource allocation in multiuser Orthogonal Frequency Division Multiplexing (OFDM) systems is addressed, which aims to maximize the user-perceived quality of services instead of the conventional objective metrics. By introducing the previous application-centric Mean Opinion Score (MOS) assessment model, the problem is formulated as a bounded optimization problem, which is non-concave and difficult to develop a closed-form solution. A heuristic algorithm, which couples bound relaxation technique with further fix and drop operations is then proposed for the final solution. Simulation results indicate that our proposal can improve the overall perceived quality from users’ perspective as well as the fairness between users, in comparison with the classical throughput-oriented algorithm.
PL
Artykuł analizuje system OFDM (orthogonal frequency division multiplexing) do alokacji zasobów przy wielu użytkownikach i przesyle dużych wielkości danych. Metoda wykorzystuje serwisy QoS – Quolity of service i QoE – quality of experience.
EN
In this paper, the quality of input current waveforms was investigated for a three-phase single-stage full-bridge power factor correction (PFC) converter, which operates in DCM mode. The three-phase input current expression of the PFC converter was derived, and the parameter which can determine the input harmonics current was analyzed in details. Based on them, the method of sixth order harmonics injection was adopted in the control circuit to suppress its input harmonics current. Finally, computer simulation and experimental results prove the validity of the analysis in this paper.
PL
Zbadano jakość kształtu prądu wejściowego trójfazowego pełnomostkowgo układu korekcji współczynnika mocy PFC pracującego w trybie DCM. Analizowano parametry wpływające na zawartość harmonicznych tego prądu. Zaproponowano układ wstrzykiwania harmonicznych w celu poprawy jakości prądu.
EN
With respect to multiple attribute decision making (MADM) problems in which attribute values take the form of fuzzy number intuitionistic fuzzy values, a new decision making analysis method is developed. First, some operational laws of fuzzy number intuitionistic fuzzy values, score function and accuracy function of fuzzy number intuitionistic fuzzy values are introduced. Then, we have developed two fuzzy number intuitionistic fuzzy Choquet integral aggregation operators: fuzzy number intuitionistic fuzzy Choquet ordered averaging (FNIFCOA) operator and fuzzy number intuitionistic fuzzy Choquet ordered geometric mean (FNIFCOGM) operator. The prominent characteristic of the operators is that they can not only consider the importance of the elements or their ordered positions, but also reflect the correlation among the elements or their ordered positions. We have studied some desirable properties of the FNIFCOA and FNIFCOGM operators, such as commutativity, idempotency and monotonicity, and applied the FNIFCOA and FNIFCOGM operators to multiple attribute decision making with fuzzy number intuitionistic fuzzy information. Finally an illustrative example has been given to show the developed method.
EN
With respect to multiple attribute decision making problems with interval-valued intuitionistic fuzzy information, some operational laws of interval-valued intuitionistic fuzzy numbers, score function and accuracy function of interval-valued intuitionistic fuzzy numbers are introduced. A combined optimization model based on the deviation method, by which the attribute weights can be determined, is established. For special situations, in which information about attribute weights is completely unknown, we establish another combined optimization model. By solving this model, we get a simple and exact formula, which can be used to determine the attribute weights. We utilize the interval-valued intuitionistic fuzzy weighted averaging (IIFWA) operator to aggregate the intuitionistic fuzzy information corresponding to each alternative, and then rank the alternatives and select the most desirable one(s) according to the score and accuracy functions. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness.
EN
This paper is concerned with the impulsive delay differential equations with positive and negative coefficients Sufficient conditions are obtained for every solution of the above equation tends to a constant as t —> &infin. KEY WORDS: asymptotic behavior, Liapunov functional, delay differential equation, impulse, coefficients.
EN
A combined molecular dynamics and molecular mechanics method has been developed for estimating Poisson's ratios of certain types of molecular auxetics at various temperatures. The tem­perature dependence of the auxeticity of a special class of molecular auxetics, namely, a self-expanding supramolecular network of auxegens containing alternating phenyl and acetylene links, is studied with use of this approximation method. The simulation results show that as temperature increases from O to 300 K, the auxeticity of the resulting superlattice or van der Waals network of auxegens decreases from the initial self-expandability to two negatively small Poisson ratios on the xoy piane.
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