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    Wyświetlanie 1-2 z 2
    Tytuł:
    Techno-economic analysis of the cogeneration process on board ships
    Autorzy:
    Brozičević, M.
    Martinović, D.
    Kralj, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/2140819.pdf
    Data publikacji:
    2017
    Wydawca:
    Fundacja Centrum Badań Socjologicznych
    Tematy:
    cogeneration on ships
    trigeneration
    analysis
    efficiency
    Opis:
    Combined heat and power (CHP) is a facility which uses one energy source to produce both electricity and thermal energy at the same time. CHP has an advantage when compared to conventional power plants which produce only electricity or thermal energy because it is much more efficient - it minimizes the usage of its primary energy source, grid losses and greenhouse gas emissions. CHP’s big advantage lies in its applicability: it is highly compatible with existing technologies already in use in different power systems across the industry, agriculture, business and residential sector. This paper describes the cogeneration in general, its application, classification and characteristics. It also describes various cogeneration plants on board, their principle and the advantages and disadvantages of individual processes. This paper contains analysis of cogeneration systems and their comparison, especially on board ships. The paper uses results of other authors to analyze on board systems and to suggest optimal solutions for various ship types. The papers aim to became one of the tools for project engineers and operation engineers.
    Źródło:
    Journal of Sustainable Development of Transport and Logistics; 2017, 2, 1; 6-15
    2520-2979
    Pojawia się w:
    Journal of Sustainable Development of Transport and Logistics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A differential evolution approach to dimensionality reduction for classification needs
    Autorzy:
    Martinović, G.
    Bajer, D.
    Zorić, B.
    Powiązania:
    https://bibliotekanauki.pl/articles/331498.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    classification
    differential evolution
    feature subset selection
    k-nearest neighbour algorithm
    wrapper method
    ewolucja różnicowa
    selekcja cech
    algorytm najbliższego sąsiada
    Opis:
    The feature selection problem often occurs in pattern recognition and, more specifically, classification. Although these patterns could contain a large number of features, some of them could prove to be irrelevant, redundant or even detrimental to classification accuracy. Thus, it is important to remove these kinds of features, which in turn leads to problem dimensionality reduction and could eventually improve the classification accuracy. In this paper an approach to dimensionality reduction based on differential evolution which represents a wrapper and explores the solution space is presented. The solutions, subsets of the whole feature set, are evaluated using the k-nearest neighbour algorithm. High quality solutions found during execution of the differential evolution fill the archive. A final solution is obtained by conducting k-fold cross-validation on the archive solutions and selecting the best one. Experimental analysis is conducted on several standard test sets. The classification accuracy of the k-nearest neighbour algorithm using the full feature set and the accuracy of the same algorithm using only the subset provided by the proposed approach and some other optimization algorithms which were used as wrappers are compared. The analysis shows that the proposed approach successfully determines good feature subsets which may increase the classification accuracy.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2014, 24, 1; 111-122
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-2 z 2

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