Background subtraction is a challenging problem in surveillance scenes. Although the low-rank and sparse decomposition(LRSD) methods offer an appropriate framework for background modeling, they fail to account for ima...Background subtraction is a challenging problem in surveillance scenes. Although the low-rank and sparse decomposition(LRSD) methods offer an appropriate framework for background modeling, they fail to account for image's local structure, which is favorable for this problem. Based on this, we propose a background subtraction method via low-rank and SILTP-based structured sparse decomposition, named LRSSD. In this method, a novel SILTP-inducing sparsity norm is introduced to enhance the structured presentation of the foreground region. As an assistance, saliency detection is employed to render a rough shape and location of foreground. The final refined foreground is decided jointly by sparse component and attention map. Experimental results on different datasets show its superiority over the competing methods, especially under noise and changing illumination scenarios.展开更多
In this paper, we present the resuks of the BitTorrent measurement study. Two sources of BitTorrent data were utilised： meta- data files and the logs of one of the currently most popular BitTorrent clients--gTorrent....In this paper, we present the resuks of the BitTorrent measurement study. Two sources of BitTorrent data were utilised： meta- data files and the logs of one of the currently most popular BitTorrent clients--gTorrent. Experimental data were collected for fifteen days from the popular torrent-discovery site thepiratebay.org （more than 30 000 torrents were captured and analysed）. During this pe- riod the activity and logs of an unmodified version of μTorrent client downloading ses- sions were also captured. The obtained ex- perimental results are swarm-oriented, which allows us to look at BitTorrent and its users from an exchanged resources perspective. Moreover, comparative analysis of the clients＇ connections with and without the μTP proto- col is carried out to verify the extent to which μTP improves BitTorrent transmissions. To the authors＇ best knowledge, none of the previous studies have addressed these issues.展开更多
文摘在单晶硅太阳能电池的制备过程中,经常利用碱溶液对电池表面进行“织构”,以形成陷光,增强对光的吸收.在NaOH溶液中制备硅片时,由于各个晶面的腐蚀速率不同,在硅片表面会形成类“金字塔”形绒面.碱溶液浓度、添加剂用量、反应温度以及时间等都会影响到绒面的形成.文中通过正交试验方法,分析了各个因素对绒面形成的影响,得出了最佳的试验条件为:碱溶液浓度为2.5%;反应温度为95℃;添加剂用量为5%;腐蚀时间为30m in.
基金supported in part by the EU FP7 QUICK project under Grant Agreement No.PIRSES-GA-2013-612652*National Nature Science Foundation of China(No.61671336,61502348,61231015,61671332,U1736206)+3 种基金Hubei Province Technological Innovation Major Project(No.2016AAA015,No.2017AAA123)the Fundamental Research Funds for the Central Universities(413000048)National High Technology Research and Development Program of China(863 Program)No.2015AA016306Applied Basic Research Program of Wuhan City(2016010101010025)
文摘Background subtraction is a challenging problem in surveillance scenes. Although the low-rank and sparse decomposition(LRSD) methods offer an appropriate framework for background modeling, they fail to account for image's local structure, which is favorable for this problem. Based on this, we propose a background subtraction method via low-rank and SILTP-based structured sparse decomposition, named LRSSD. In this method, a novel SILTP-inducing sparsity norm is introduced to enhance the structured presentation of the foreground region. As an assistance, saliency detection is employed to render a rough shape and location of foreground. The final refined foreground is decided jointly by sparse component and attention map. Experimental results on different datasets show its superiority over the competing methods, especially under noise and changing illumination scenarios.
基金partially supported by the Polish National Science Center under Grant No.2011/01/D/ST7/05054
文摘In this paper, we present the resuks of the BitTorrent measurement study. Two sources of BitTorrent data were utilised： meta- data files and the logs of one of the currently most popular BitTorrent clients--gTorrent. Experimental data were collected for fifteen days from the popular torrent-discovery site thepiratebay.org （more than 30 000 torrents were captured and analysed）. During this pe- riod the activity and logs of an unmodified version of μTorrent client downloading ses- sions were also captured. The obtained ex- perimental results are swarm-oriented, which allows us to look at BitTorrent and its users from an exchanged resources perspective. Moreover, comparative analysis of the clients＇ connections with and without the μTP proto- col is carried out to verify the extent to which μTP improves BitTorrent transmissions. To the authors＇ best knowledge, none of the previous studies have addressed these issues.
