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    Wyświetlanie 1-3 z 3
    Tytuł:
    An Experimental Study on Unipolar Induction
    Autorzy:
    Chen, K.
    Li, X.
    Hui, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/1030345.pdf
    Data publikacji:
    2017-02
    Wydawca:
    Polska Akademia Nauk. Instytut Fizyki PAN
    Tematy:
    01.55.+b
    03.50.De
    06.30.Ka
    41.20.Gz
    Opis:
    Unipolar induction phenomenon is a special kind of electromagnetic induction. There are two quite opposite theoretical explanations for this phenomenon, i.e., the N theory and the M theory. The research of unipolar induction has made significant progress, but there is no final conclusion by now. In this paper, an experiment of inversely rotating double Faraday disks and double magnets are designed, and the unipolar induction phenomenon is verified by means of theoretical calculation and experiment. Comparing and analyzing the theoretical calculation and experiment results, our experimental results support the N theory, that is to say, our experiment shows that the magnetic field does not rotate when the magnet rotates.
    Źródło:
    Acta Physica Polonica A; 2017, 131, 2; 271-274
    0587-4246
    1898-794X
    Pojawia się w:
    Acta Physica Polonica A
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Evaluation of panchromatic IKONOS data for mapping
    Ocena przydatności panchromatycznych obrazów IKONOS dla opracowania map
    Autorzy:
    Kaczyński, R.
    Ewiak, I.
    Chun, R. W.
    Hui, Y. M.
    Powiązania:
    https://bibliotekanauki.pl/articles/129670.pdf
    Data publikacji:
    2001
    Wydawca:
    Stowarzyszenie Geodetów Polskich
    Tematy:
    Ikonos
    orthorectification
    panchromatic data
    planimetric accuracy
    ortorektyfikacja
    dane panchromatyczne
    dokładność planimetryczna
    Opis:
    The results of assessment of the planimetric accuracy of 1-meter resolution panchromatic IKONOS data comparing to the topographic map in the scale 1:10,000 are presented. Low precision georeferenced Car terra Geo, 50 m CE90 product of test areas in China was orthorectified in IGiK using Image Station INTERGRAPH and InternationaI Imaging System PRISM VISTA software as well as software elaborated in Chinese Academy of Surveying and Mapping (CASM). Planimetric accuracy of IKONOS data after adjustment with the use of 5 GCP's (taken from the topomap) was: RMSEx = +/- 1.1m and RMSEy = +/- 1.4m. Planimetric accuracy calculated on 18 check points, the X, Y coordinates of which have been also taken from the topomap was: RMSEx = +/-3.5m and RMSEy= +/- 2.5 m. Planimetric accuracy of the orthophotomap generated using IKONOS data and calculated transformation parameters was: RMSEx = +/- 3.7 m and RMSEy = +/- 3.6 m. This accuracy is similar to the planimetric accuracy of the topographic map in the scale 1:10 000. Better accuracy can be achieved by measuring GCP's directly in the field with GPS technique instead of using topomaps. Nevertheless, Сarterra Geo product which is of the lowest horizontal precision out of the entire range of IKONOS products and also the cheapest, can be used for updating topomaps as well as for generating up-to-date digital basemap in modern Geographic Information Systems.
    Źródło:
    Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2001, 11; 3-1-3-6
    2083-2214
    2391-9477
    Pojawia się w:
    Archiwum Fotogrametrii, Kartografii i Teledetekcji
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    2D Cadastral Coordinate Transformation using extreme learning machine technique
    Autorzy:
    Ziggah, Y. Y.
    Issaka, Y.
    Laari, P. B.
    Hui, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/145372.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    transformacja współrzędnych
    sieci neuronowe
    dane geodezyjne
    sieć radialna
    coordinate transformation
    extreme learning machine
    backpropagation neural network
    radial basis function neural network
    geodetic datum
    Opis:
    Land surveyors, photogrammetrists, remote sensing engineers and professionals in the Earth sciences are often faced with the task of transferring coordinates from one geodetic datum into another to serve their desired purpose. The essence is to create compatibility between data related to different geodetic reference frames for geospatial applications. Strictly speaking, conventional techniques of conformal, affine and projective transformation models are mostly used to accomplish such task. With developing countries like Ghana where there is no immediate plans to establish geocentric datum and still rely on the astro-geodetic datums as it national mapping reference surface, there is the urgent need to explore the suitability of other transformation methods. In this study, an effort has been made to explore the proficiency of the Extreme Learning Machine (ELM) as a novel alternative coordinate transformation method. The proposed ELM approach was applied to data found in the Ghana geodetic reference network. The ELM transformation result has been analysed and compared with benchmark methods of backpropagation neural network (BPNN), radial basis function neural network (RBFNN), two-dimensional (2D) affine and 2D conformal. The overall study results indicate that the ELM can produce comparable transformation results to the widely used BPNN and RBFNN, but better than the 2D affine and 2D conformal. The results produced by ELM has demonstrated it as a promising tool for coordinate transformation in Ghana.
    Źródło:
    Geodesy and Cartography; 2018, 67, 2; 321-343
    2080-6736
    2300-2581
    Pojawia się w:
    Geodesy and Cartography
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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