Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "Qiu, Y." wg kryterium: Autor

  Lista filtrów
Wyrównaj
    Wyświetlanie 1-6 z 6
    Tytuł:
    Evaluation of physical and mechanical properties of quarry stones in the southern Republic of Benin
    Autorzy:
    Bouraima, M. B.
    Qiu, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/2140824.pdf
    Data publikacji:
    2017
    Wydawca:
    Fundacja Centrum Badań Socjologicznych
    Tematy:
    engineering properties
    rocks blocks
    aggregates
    construction material
    Republic of Benin
    Opis:
    Engineering properties of stones have a crucial importance when they are used for civil engineering works. In this study, the suitability of rocks blocks or stones as a construction material is established. Cove and Dan cities surroundings in the southern part of Zou Province have large blocks and aggregates quarries operated recently. In this study, laboratory tests were carried out to investigate the performance of rocks blocks and aggregates quarried in the region. For this purpose of the study, three wooden containers with rocks blocks and aggregates samples were collected from three different quarries, and so, laboratory tests including particle density and water absorption test, resistance to wear, magnesium sulfate test, compressive strength and methylene blue absorption test were performed in accordance with the international standards to explore the quality of stones to be used for modern construction. Concluding that rocks blocks and aggregates satisfy the relevant regulation (that is, a norm, European standard).
    Źródło:
    Journal of Sustainable Development of Transport and Logistics; 2017, 2, 1; 61-66
    2520-2979
    Pojawia się w:
    Journal of Sustainable Development of Transport and Logistics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Transport infrastructure development in China
    Autorzy:
    Bouraima, M. B.
    Qiu, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/2140804.pdf
    Data publikacji:
    2017
    Wydawca:
    Fundacja Centrum Badań Socjologicznych
    Tematy:
    transportation system
    transportation history
    investment
    economic development
    Opis:
    This paper reviews the historical configuration process of transportation systems in China and examines the relationship between economic development and transport system at three different levels. The current status of transport infrastructure system development in China is summarized at national and regional level. The investment trends for transport infrastructure in China are also depicted. The keys issues relating to government initiatives are presented.
    Źródło:
    Journal of Sustainable Development of Transport and Logistics; 2017, 2, 1; 29-39
    2520-2979
    Pojawia się w:
    Journal of Sustainable Development of Transport and Logistics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Yellowfin tuna (Thunnusalbacares) fishing ground forecasting model based on bayes classifier in the South China Sea
    Autorzy:
    Zhou, W.
    Li, A.
    Ji, S.
    Qiu, Y.
    Powiązania:
    https://bibliotekanauki.pl/articles/258994.pdf
    Data publikacji:
    2017
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    Bayes classifier
    South China Sea
    yellowfin tuna
    fishing ground forecasting
    Opis:
    Using the yellowfin tuna (Thunnusalbacares,YFT)longline fishing catch data in the open South China Sea (SCS) provided by WCPFC, the optimum interpolation sea surface temperature (OISST) from CPC/NOAA and multi-satellites altimetric monthly averaged product sea surface height (SSH) released by CNES, eight alternative options based on Bayes classifier were made in this paper according to different strategies on the choice of environment factors and the levels of fishing zones to classify the YFT fishing ground in the open SCS. The classification results were compared with the actual ones for validation and analyzed to know how different plans impact on classification results and precision. The results of validation showed that the precision of the eight options were 71.4%, 75%, 70.8%, 74.4%, 66.7%, 68.5%, 57.7% and 63.7% in sequence, the first to sixth among them above 65% would meet the practical application needs basically. The alternatives which use SST and SSH simultaneously as the environmental factors have higher precision than which only use single SST environmental factor, and the consideration of adding SSH can improve the model precision to a certain extent. The options which use CPUE’s mean ± standard deviation as threshold have higher precision than which use CPUE’s 33.3%-quantile and 66.7%-quantile as the threshold
    Źródło:
    Polish Maritime Research; 2017, S 2; 140-146
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Comparative study on the classification methods for breast cancer diagnosis
    Autorzy:
    Qiu, Y.
    Zhou, G.
    Zhao, Q.
    Cichocki, A.
    Powiązania:
    https://bibliotekanauki.pl/articles/200743.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    breast cancer
    mammography
    DDSM
    comparative study
    deep learning
    rak piersi
    mammografia
    Badanie porównawcze
    uczenie głębokie
    Opis:
    Digital mammography is one of the most widely used approaches for breast cancer diagnosis. Many researchers have demonstrated the superiority of machine learning methods in breast cancer diagnosis using different mammography databases. Since these methods often have different pros and cons, which may confuse doctors and researchers, an elaborate comparison and examination among them is urgently needed for practical breast cancer diagnosis. In this study, we conducted a comprehensive comparative study of the state-of-the-art machine learning methods that are promising in breast cancer diagnosis. For this purpose we analyze the largest mammography diagnosis database: Digital Database for Screening Mammography (DDSM). We considered various approaches for feature extraction including principal component analysis (PCA), nonnegative matrix factorization (NMF), spatial-temporal discriminant analysis (STDA) and those for classification including linear discriminant analysis (LDA), random forests (RaF), k-nearest neighbors (kNN), as well as deep learning methods including convolutional neural networks (CNN) and stacked sparse autoencoder (SSAE). This paper can serve as a guideline and useful clues for doctors who are going to select machine learning methods for their breast cancer computer-aided diagnosis (CAD) systems as well for researchers interested in developing more reliable and efficient methods for breast cancer diagnosis.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 6; 841-848
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Depression effect of corn starch on muscovite mica at different pH values
    Autorzy:
    Peng, W.
    Zhang, L.
    Qiu, Y.
    Song, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/110573.pdf
    Data publikacji:
    2016
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    muscovite mica
    corn starch
    pulp pH
    depression effect
    Opis:
    The depression effect of corn starch on the surface of muscovite mica powder at different pulp pH value was investigated. The experiments were performed on single mineral, and its flotation performance was studied by flotation tests, adsorption quantity measurement, zeta-potential technique and Fourier transform infrared (FT-IR). The results indicated that the depression effect was varied with the pulp pH value when dodecylamine chloride (DDA) was used as collector, the strongest inhibitory effect appeared at pH 2 and the zeta-potential of muscovite mica increased overall after conditioned with corn starch solution. It was confirmed by the FT-IR spectra that the corn starch indeed adsorbed on the surface of muscovite mica powder and physical adsorption was occurred between muscovite mica and corn starch. This study leads to a better understanding of the depression effect of corn starch on the surface of muscovite mica powder.
    Źródło:
    Physicochemical Problems of Mineral Processing; 2016, 52, 2; 780-788
    1643-1049
    2084-4735
    Pojawia się w:
    Physicochemical Problems of Mineral Processing
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Seasonal variations in the abundance and sinking flux of biogenic silica in Daya Bay, Northern South China Sea
    Autorzy:
    Zhao, X.
    Yang, W.
    Ma, H.
    Li, J.
    Chen, M.
    Fang, Z.
    Zhang, X.
    Zeng, J.
    Qiu, Y.
    Zheng, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/48777.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Instytut Oceanologii PAN
    Tematy:
    biogenic silica
    flux
    thorium
    seasonal variation
    shallow water
    Daya Bay
    China Sea
    Źródło:
    Oceanologia; 2019, 61, 2
    0078-3234
    Pojawia się w:
    Oceanologia
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

      Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies