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Now showing items 1 - 16 of 2981

  • Deep Reconstruction of Least Significant Bits for Bit-Depth Expansion

    Zhao, Yang   Wang, Ronggang   Jia, Wei   Zuo, Wangmeng   Liu, Xiaoping   Gao, Wen  

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  • A young man with an unchanged consolidation in chest CT

    Zhao, Yang   Guo, Wei  

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  • Diurnal Variations in Summer Precipitation over the Yellow River Basin

    Zhao, Yang   Wang, Minzhong   Li, Jiao   Yang, Xiaojun   Zhang, Nan   Chen, Hong  

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  • Controlled aging processes to improve damping capacity of Fe–19Mn alloy

    Li, Xing   Chen, Liqing   Zhao, Yang  

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  • Secreting ectopic adrenal adenoma: A rare condition to be aware of

    Zhao, Yang   Guo, Hui   Zhao, Ying   Shi, Bingyin  

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  • A Simple Graphene NH3 Gas Sensor via Laser Direct Writing

    Wu, Dezhi   Peng, Qianqian   Wu, Shan   Wang, Guangshun   Deng, Lei   Tai, Huiling   Wang, Lingyun   Yang, Yajie   Dong, Linxi   Zhao, Yang   Zhao, Jinbao   Sun, Daoheng   Lin, Liwei  

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    The present invention provides a downlink channel estimation training sequence design method of frequency division duplex (FDD) large-scale multiple-input multiple-output (MIMO) system. In the system, a base station configured with large-scale multi-antenna array communicates with a single-antenna terminal user. The present invention performs continuous channel estimation utilizing spatio-temporal correlation between multi-antenna MIMO channel and on the basis of Kalman filtering. At each coherence time, the user performs Kalman filtering and prediction, obtains an estimated value of channel state information at the current coherence time, and gives a predicted value of the channel at the next coherence time. Statistical information of an intermediate variable is generated during the Kalman filtering and prediction, and the user feeds the necessary statistical information back to the base station via the uplink, so that the base station performs an optimal training sequence design. Simulation and analysis shows that, by the present solution, accuracy of channel estimation can be improved, while the time occupied by downlink training sequence of the system is reduced, thus improving the link throughout and system capacity.
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    An extruded aluminum profile cross support frame for a laser cutting machine, the cross support frame comprising a connection base assembly (1), a main body (3), and T-slot bolts (6). The connection base assembly (1) is fixedly connected to the main body (3) by means of the T-slot bolts (6). An upper end of the main body (3) is provided with a first guide rail mounting surface (2). A gear rack surface (4) is provided at a corner of the upper end of the main body (3). A second guide rail mounting surface (5) is provided at a lower end of a side of the main body (3). An internally threaded cylindrical pin (7) is provided at a lower end of the main body (3). The cross support frame for a laser cutting machine of the present invention is formed by extruding a 6000 series aircraft aluminum material, and has superior strength and excellent mechanical performance, and the cross section thereof is an efficient combination of planes, straight rib plates, thin-walled cylinders, etc., thus providing a high load bearing capability, low internal stress within the extruded aluminum, low distortion after long use, high precision, light weight, and superior dynamic response to facilitate high-speed, highly responsive, and high-performance laser cutting.
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  • Mechanisms and efficient elimination approaches of self-absorption in LIBS

    HOU, Jiajia   ZHANG, Lei   ZHAO, Yang   WANG, Zhe   ZHANG, Yong   MA, Weiguang   DONG, Lei   YIN, Wangbao   XIAO, Liantuan   JIA, Suotang  

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  • A deep learning ensemble approach for crude oil price forecasting

    Zhao, Yang   Li, Jianping   Yu, Lean  

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  • An iterative learning approach to identify fractional order KiBaM model

    Zhao, Yang   Li, Yan   Zhou, Fengyu   Zhou, Zhongkai   Chen, YangQuan  

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  • Filtered Mapping Based Method for Compressed Web Image Super-Resolution

    Zhao, Yang   Jia, Wei   Li, Lin   Cao, Li   Liu, Xiaoping  

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  • A model for obliquely incident wave interacting with a multi-layered object

    Hu, Jie   Zhao, Yang   Liu, Philip L.-F.  

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  • A context-aware approach for trustworthy worker selection in social crowd

    Zhao, Yang   Liu, Guanfeng   Zheng, Kai   Liu, An   Li, Zhixu   Zhou, Xiaofang  

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  • Electrospinning jet behaviors under the constraints of a sheath gas

    Zhao, Yang   Jiang, Jiaxin   Li, Wenwang   Wang, Xiang   Zhang, Kai   Zhu, Ping   Zheng, Gaofeng  

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    Disclosed is a method for manufacturing a vertically-growing open carbon nanotube thin film. The method comprises: grinding the surface of a ceramic film by using metallographical sandpaper, performing ultrasonic cleaning by using acetone and performing boiling with water, and performing drying to obtain a ceramic film substrate; dissolving a catalyst ferrocene in a carbon source dimethylbenzene in an ultrasonic manner, and adding a carbon nanotube growth promoting agent thiophene to form a mixed solution; putting the ceramic film substrate in a tubular furnace reactor, introducing nitrogen, and slowly injecting the mixed solution at a constant speed to perform a high-temperature vapor deposition reaction; and further performing plasma etching and nitric acid reflux heating treatment to open closed ends of carbon nanotubes, and removing catalyst particles on the carbon nanotube thin film to obtain the open carbon nanotube thin film that is highly vertically aligned. The process of the present invention is simple, practical and low in cost, and the density and the shape of the carbon nanotube thin film can be controlled by changing condition parameters. The prepared carbon nanotube thin film can be widely applied in the fields of gas purification and storage, heat conduction, electric conduction, catalyst carriers and the like, and has good application prospects.
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