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    Wyświetlanie 1-4 z 4
    Tytuł:
    Mechanism and Kinetics Studies on Non-Isothermal Decomposition of Ludwigite in Inert Atmosphere
    Autorzy:
    Fu, X.
    Chu, M.
    Gao, L.
    Liu, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/352128.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    ludwigite
    non-isothermal decomposition
    kinetics
    activation energy
    model function
    Opis:
    Ludwigite is the main available boron-bearing resource in China. In order to enrich the theory system and optimize its utilization processes, this paper study the mechanism and kinetics on non-isothermal decomposition of ludwigite in inert atmosphere by means of thermal analysis. Results show that, the decomposition of serpentine and szajbelyite is the main cause of mass loss in the process. At the end of decomposition, hortonolite and ludwigite are the two main phases in the sample. The average E value of structural water decomposition is 277.97 kJ/mol based on FWO method (277.17 kJ/mol based on KAS method). The results is proved to be accurate and reliable. The mechanism model function of structural water decomposition is confirmed by Satava method and Popescu method. The form of the most probable model function is G(α) = (1 – α)–1– 1 (integral form) and f (α) = (1 – α)2 (differential form), and its mechanism is chemical reaction. This is verified by the criterion based on activation energy of model-free kinetics analysis.
    Źródło:
    Archives of Metallurgy and Materials; 2018, 63, 3; 1217-1224
    1733-3490
    Pojawia się w:
    Archives of Metallurgy and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    PER Estimation of AIS in Inland Rivers based on Three Dimensional Ray Tracking
    Autorzy:
    Ma, F.
    Chu, X. M.
    Liu, C. G.
    Powiązania:
    https://bibliotekanauki.pl/articles/117153.pdf
    Data publikacji:
    2014
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    Ray Tracking
    Three Dimensional Ray Tracking
    Automatic Identification System (AIS)
    Package Error Rate (PER)
    Chinese Navigable Waterways
    Inland Shipping
    PER Estimation
    Ray Tracking Model
    Opis:
    The Automatic Identification System (AIS) is an important maritime safety device, which is populous in inland rivers. Compared with that in open sea, the Package Error Rate (PER) of AIS in inland river has increased sharply due to its complex environment. With the help of hardware in loop simulation, it is possible to make statistical calculation on the PER under a given field strength and describe the data by quadratic rational fraction. Meanwhile, in the three dimensional software environments, the signal field strength is able to be calculated by the ray tracking method, which exhausts all the possible propagation paths, including direct way, reflection, diffractions, and the other medium attenuation matters. Beyond that, in the model, the propagation geography information in inland rivers is required to be simplified in some way, or the computation of the ray tracking is too hard to get. The paper set the Changjiang Wuhan channel as the field testing region, and all the deviations are less than 5% in sunny weather, which proves the method accurate and effective.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2014, 8, 1; 89-94
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A Study of Correlation between Fishing Activity and AIS Data by Deep Learning
    Autorzy:
    Shen, K. Y.
    Chu, Y. J.
    Chang, S. J.
    Chang, S. M.
    Powiązania:
    https://bibliotekanauki.pl/articles/1841621.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    AIS Data
    deep learning framework
    learning methods
    Recurrent Neural Network
    (RNN)
    Automatic Identification System
    (AIS)
    fishing operation
    Opis:
    Previous researches on the prediction of fishing activities mainly rely on the speed over ground (SOG) as the referential attribute to determine whether the vessel is navigating or in fishing operation. Since more and more fishing vessels install Automatic Identification System (AIS) either voluntarily or under regulatory requirement, data collected from AIS in real time provide more attributes than SOG which may be utilized to improve the prediction. To be specific, the ships' trajectory patterns and the changes in course become available and should be considered. This paper aims to improve the accuracy in the identification of fishing activities. First, we do feature extraction from the AIS data of coastal waters around Taiwan and build a Recurrent Neural Network (RNN) model. Then, the activity data of fishing vessels are divided into fishing and non-fishing. Finally, based on the testing by feeding various fishing activity data, we can identify the fishing status automatically.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 3; 527-531
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    In Situ measurements of acoustic target strengths of siphonophores
    Autorzy:
    Warren, J. D.
    Stanton, T. K.
    Benfield, M. C.
    Wiebe, P. H.
    Chu, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/331586.pdf
    Data publikacji:
    1999
    Wydawca:
    Polskie Towarzystwo Akustyczne
    Opis:
    Measurements were made of the acoustic target strengths of siphonophores swimming freely in the ocean. The measurements were made possible by use of a remotely operated vehicle (ROV) on which both acoustics and video camera equipment were mounted. The acoustic transducers and camera were aimed at the same volume of water and data jrom che two sets of devices were co-registered. The cameras were used to help search for and identify the animais and to direct the path of the ROV; sa that ance the animals were jound they would be in or near the acoustic beams. The data show that these gas-bearing zooplankton have relatively high target strengths due to the presence of the gas inclusion. These data are essential in the use of acoustics for quantitatively surveying zooplankton for twa reasons: 1) lt suggests that a relatively small number of siphonophores can dominate che echo in an acoustic survey while other species present may dominate the biomass. 2) Siphonophores are very fragile and, as a result, cannot be reliably captured by use of nets. These data can help in making acoustics a quantitative survey tool for these important animals.
    Źródło:
    Hydroacoustics; 1999, 2; 11-13
    1642-1817
    Pojawia się w:
    Hydroacoustics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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