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    Wyświetlanie 1-3 z 3
    Tytuł:
    Hereditary Equality of Domination and Exponential Domination in Subcubic Graphs
    Autorzy:
    Chen, Xue-Gang
    Wang, Yu-Feng
    Wu, Xiao-Fei
    Powiązania:
    https://bibliotekanauki.pl/articles/32324524.pdf
    Data publikacji:
    2021-11-01
    Wydawca:
    Uniwersytet Zielonogórski. Wydział Matematyki, Informatyki i Ekonometrii
    Tematy:
    dominating set
    exponential dominating set
    subcubic graphs
    Opis:
    Let γ(G) and γe(G) denote the domination number and exponential domination number of graph G, respectively. Henning et al., in [Hereditary equality of domination and exponential domination, Discuss. Math. Graph Theory 38 (2018) 275–285] gave a conjecture: There is a finite set ℱ of graphs such that a graph G satisfies (H) = γe(H) for every induced subgraph H of G if and only if G is ℱ-free. In this paper, we study the conjecture for subcubic graphs. We characterize the class ℱ by minimal forbidden induced subgraphs and prove that the conjecture holds for subcubic graphs.
    Źródło:
    Discussiones Mathematicae Graph Theory; 2021, 41, 4; 1067-1075
    2083-5892
    Pojawia się w:
    Discussiones Mathematicae Graph Theory
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An experimental study of the effects of cylinder lubricating oils on the vibration characteristics of a two-stroke low-speed marine diesel engine
    Autorzy:
    Wu, Gang
    Jiang, Guodong
    Chen, Changsheng
    Jiang, Guohe
    Pu, Xigang
    Chen, Biwen
    Powiązania:
    https://bibliotekanauki.pl/articles/34603764.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    two-stroke
    low-speed marine diesel engine
    cylinder lubricating oils
    vibration characteristic
    condition monitoring
    Opis:
    Two-stroke, low-speed diesel engines are widely used in large ships due to their good performance and fuel economy. However, there have been few studies of the effects of lubricating oils on the vibration of two-stroke, low-speed diesel engines. In this work, the effects of three different lubricating oils on the vibration characteristics of a low-speed engine are investigated, using the frequency domain, time-frequency domain, fast Fourier transform (FFT) and short-time Fourier transform (STFT) methods. The results show that non-invasive condition monitoring of the wear to a cylinder liner in a low-speed marine engine can be successfully achieved based on vibration signals. Both the FFT and STFT methods are capable of capturing information about combustion in the cylinder online in real time, and the STFT method also provides the ability to visualise the results with more comprehensive information. From the online condition monitoring of vibration signals, cylinder lubricants with medium viscosity and medium alkali content are found to have the best wear protection properties. This result is consistent with those of an elemental analysis of cylinder lubrication properties and an analysis of the data measured from a piston lifted from the cylinder after 300 h of engine operation.
    Źródło:
    Polish Maritime Research; 2023, 4; 92-101
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An automated driving strategy generating method based on WGAIL–DDPG
    Autorzy:
    Zhang, Mingheng
    Wan, Xing
    Gang, Longhui
    Lv, Xinfei
    Wu, Zengwen
    Liu, Zhaoyang
    Powiązania:
    https://bibliotekanauki.pl/articles/2055167.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    automated driving system
    deep learning
    deep reinforcement learning
    imitation learning
    deep deterministic policy gradient
    system jezdny
    uczenie głębokie
    uczenie przez naśladowanie
    Opis:
    Reliability, efficiency and generalization are basic evaluation criteria for a vehicle automated driving system. This paper proposes an automated driving decision-making method based on the Wasserstein generative adversarial imitation learning–deep deterministic policy gradient (WGAIL–DDPG(λ)). Here the exact reward function is designed based on the requirements of a vehicle’s driving performance, i.e., safety, dynamic and ride comfort performance. The model’s training efficiency is improved through the proposed imitation learning strategy, and a gain regulator is designed to smooth the transition from imitation to reinforcement phases. Test results show that the proposed decision-making model can generate actions quickly and accurately according to the surrounding environment. Meanwhile, the imitation learning strategy based on expert experience and the gain regulator can effectively improve the training efficiency for the reinforcement learning model. Additionally, an extended test also proves its good adaptability for different driving conditions.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2021, 31, 3; 461--470
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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