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Wyszukujesz frazę "Liu, M. S." wg kryterium: Autor


Wyświetlanie 1-4 z 4
Tytuł:
A novel method to extract vanadium from high-grade vanadium slag: non-salt roasting and alkaline leaching
Autorzy:
Liu, B.
Meng, L.
Zheng, S.
Li, M.
Wang, S.
Powiązania:
https://bibliotekanauki.pl/articles/110480.pdf
Data publikacji:
2018
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
high-grade vanadium slag
cleaner production
non-salt roasting
alkaline leaching
mechanisms
Opis:
A new method using non-salt roasting-alkaline leaching to treat vanadium slag was proposed in this study. The V(III) in vanadium slag is oxidized to V(V) by roasting and the latter can be effectively leached out as vanadate by alkaline leaching. This method possesses distinct advantage of being able to treat high-grade vanadium slag. For the South Africa high-grade vanadium slag, the maximum vanadium recovery of 98% was achieved when the reaction conditions were roasting temperature of 850 °C, roasting time of 2 h, alkali concentration of 30 wt.%, leaching temperature of 210 °C, and leaching time of 2 h. The roasting and leaching mechanisms have been well elucidated based on the XRD and SEM analysis results. The phases transitions of vanadium slag were clearly presented. This work has laid the foundation for the industrial application of non-salt roasting-alkaline leaching and provided new insights into effective extraction of high-grade vanadium slag.
Źródło:
Physicochemical Problems of Mineral Processing; 2018, 54, 3; 657-667
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ship recognition and tracking system for intelligent ship based on deep learning framework
Autorzy:
Liu, B.
Wang, S. Z.
Xie, Z. X.
Zhao, J. S.
Li, M. F.
Powiązania:
https://bibliotekanauki.pl/articles/117419.pdf
Data publikacji:
2019
Wydawca:
Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:
intelligent ship
deep learning framework
ship recognition system
ship tracking system
ship recognition and tracking system
intelligent navigation
autonomous ship
maritime safety
Opis:
Automatically recognizing and tracking dynamic targets on the sea is an important task for intelligent navigation, which is the prerequisite and foundation of the realization of autonomous ships. Nowadays, the radar is a typical perception system which is used to detect targets, but the radar echo cannot depict the target’s shape and appearance, which affects the decision-making ability of the ship collision avoidance. Therefore, visual perception system based on camera video is very useful for further supporting the autonomous ship navigational system. However, ship’s recognition and tracking has been a challenge task in the navigational application field due to the long distance detection and the ship itself motion. An effective and stable approach is required to resolve this problem. In this paper, a novel ship recognition and tracking system is proposed by using the deep learning framework. In this framework, the deep residual network and cross-layer jump connection policy are employed to extract the advanced ship features which help enhance the classification accuracy, thus improves the performance of the object recognition. Experimentally, the superiority of the proposed ship recognition and tracking system was confirmed by comparing it with state of-the-art algorithms on a large number of ship video datasets.
Źródło:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2019, 13, 4; 699-705
2083-6473
2083-6481
Pojawia się w:
TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The INSIDE Project: Innovative Solutions for In-Beam Dosimetry in Hadrontherapy
Autorzy:
Marafini, M.
Attili, A.
Battistoni, G.
Belcari, N.
Bisogni, M.
Camarlinghi, N.
Cappucci, F.
Cecchetti, M.
Cerello, P.
Ciciriello, F.
Cirrone, G.
Coli, S.
Corsi, F.
Cuttone, G.
De Lucia, E.
Ferretti, S.
Faccini, R.
Fiorina, E.
Frallicciardi, P.
Giraudo, G.
Kostara, E.
Kraan, A.
Licciulli, F.
Liu, B.
Marino, N.
Marzocca, C.
Matarrese, G.
Morone, C.
Morrocchi, M.
Muraro, S.
Patera, V.
Pennazio, F.
Peroni, C.
Piersanti, L.
Piliero, M.
Pirrone, G.
Rivetti, A.
Romano, F.
Rosso, V.
Sala, P.
Sarti, A.
Sciubba, A.
Sportelli, G.
Voena, C.
Wheadon, R.
Del Guerra, A.
Powiązania:
https://bibliotekanauki.pl/articles/1402609.pdf
Data publikacji:
2015-05
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
87.53.Bn
87.53.Jw
87.53.Kn
87.55.N-
87.55.ne
87.57.uq
Opis:
The INSIDE project addresses the online dose monitoring in particle therapy issue. The proposed detectors exploit the secondary neutral and charged particles emitted during the treatment by the irradiated volumes. The new detection techniques allow to return and online a measurement of the released dose and the Bragg peak position.
Źródło:
Acta Physica Polonica A; 2015, 127, 5; 1465-1467
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Study of Monitoring Performances with the INSIDE System
Autorzy:
Pennazio, F.
Attili, A.
Battistoni, G.
Belcari, N.
Bisogni, M.
Camarlinghi, N.
Cappucci, F.
Cecchetti, M.
Cerello, P.
Ciciriello, F.
Cirrone, G.
Coli, S.
Corsi, F.
Cuttone, G.
De Lucia, E.
Ferretti, S.
Faccini, R.
Fiorina, E.
Frallicciardi, P.
Giraudo, G.
Kostara, E.
Kraan, A.
Licciulli, F.
Liu, B.
Marafini, M.
Marino, N.
Marzocca, C.
Matarrese, G.
Morone, C.
Morrocchi, M.
Muraro, S.
Patera, V.
Peroni, C.
Piersanti, L.
Piliero, M.
Pirrone, G.
Rivetti, A.
Romano, F.
Rosso, V.
Sala, P.
Sarti, A.
Sciubba, A.
Sportelli, G.
Voena, C.
Wheadon, R.
Del Guerra, A.
Powiązania:
https://bibliotekanauki.pl/articles/1402611.pdf
Data publikacji:
2015-05
Wydawca:
Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:
87.53.Bn
87.53.Jw
87.53.Kn
87.55.N-
87.55.ne
87.57.uq
Opis:
The INSIDE collaboration aims to build an on-line hadrontherapy monitoring system, based on a dual-head in-beam PET scanner and a secondary charged particles profiler. In this work preliminary experimental results are presented. The validation of the FLUKA-based Monte Carlo simulation tool is shown together with the expected scanner performances.
Źródło:
Acta Physica Polonica A; 2015, 127, 5; 1468-1470
0587-4246
1898-794X
Pojawia się w:
Acta Physica Polonica A
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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