中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Different behaviors in nitrogen leaching between soil types following the substitution of synthetic fertilizers by manure 期刊论文  OAI收割
NUTRIENT CYCLING IN AGROECOSYSTEMS, 2023, 页码: 13
作者:  
Du, Xinzhong;  Zhang, Yitao;  Li, Jungai;  Peng, Chang;  Wang, Hongyuan
  |  收藏  |  浏览/下载:20/0  |  提交时间:2023/10/09
Ultra-Fine Heterogeneous Microstructure Enables High Strength-Ductility in a Cold-Rolled Medium Mn Steel 期刊论文  OAI收割
ACTA METALLURGICA SINICA-ENGLISH LETTERS, 2022, 页码: 7
作者:  
Hu, Baojia;  Zheng, Chengwu;  Zheng, Qinyuan;  Liu, Peng;  Jia, Chunni
  |  收藏  |  浏览/下载:33/0  |  提交时间:2022/07/14
Impact of soil thickness on productivity and nitrate leaching from sloping cropland in the upper Yangtze River Basin 期刊论文  OAI收割
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2021, 卷号: 311, 页码: 10
作者:  
Xiao, Qianying;  Dong, Zhixin;  Han, Yang;  Hu, Lei;  Hu, Dongni
  |  收藏  |  浏览/下载:142/0  |  提交时间:2021/04/08
Rapid detection of biodegradable organic matter in polluted water with microbial fuel cell sensor: Method of partial coulombic yield 期刊论文  OAI收割
BIOELECTROCHEMISTRY, 2020, 卷号: 133, 页码: 8
作者:  
Gao, Yangyang;  Yin, Fengjun;  Ma, Weiqi;  Wang, Sha;  Liu, Yuan
  |  收藏  |  浏览/下载:32/0  |  提交时间:2020/08/24
Mechanism of huge Luders-type deformation in ultrafine grained austenitic stainless steel 期刊论文  OAI收割
SCRIPTA MATERIALIA, 2019, 卷号: 159, 页码: 28-32
作者:  
Gao, Si;  Bai, Yu;  Zheng, Ruixiao;  Tian, Yanzhong;  Mao, Wenqi
  |  收藏  |  浏览/下载:22/0  |  提交时间:2021/02/02
Non-point source pollution modelling using Soil and Water Assessment Tool and its parameter sensitivity analysis in Xin'anjiang catchment, China SCI/SSCI论文  OAI收割
2014
作者:  
Xia J.;  Liang T.
收藏  |  浏览/下载:35/0  |  提交时间:2014/12/24
Impact assessment of recent climate change on rice yields in the Heilongjiang Reclamation Area of north-east China SCI/SSCI论文  OAI收割
2013
Zhou Y.; Li N.; Dong G. P.; Wu W. X.
收藏  |  浏览/下载:26/0  |  提交时间:2014/12/24
Numerical simulation on efficient spinning technology based on multi-point adjusting principle (EI CONFERENCE) 会议论文  OAI收割
2nd International Conference on Manufacturing Science and Engineering, ICMSE 2011, April 9, 2011 - April 11, 2011, Guilin, China
Gong X. P.
收藏  |  浏览/下载:29/0  |  提交时间:2013/03/25
In order to realize high efficiency and flexible manufacturing for rotary surfaces  equivalent stress in sheet metal's center region and bendable rollers active region exceeds yield stress  efficient spinning technology (EST) is researched. It is the combination of multi-point forming and traditional spinning. Principle of EST is described  and plastic deformation is generated  traditional spinning method is compared with it  experimental result accords with simulation result. Feasibility of EST is validated by simulation and experimental results. (2011) Trans Tech Publications.  and characteristics of it are analyzed. Finite element analysis (FEA) model of disc-shape part is established  EST process is analyzed  equivalent stress and plastic strain distributions are analyzed. EST equipment is developed  and the experiments are made. Results indicate: EST process consists of four stages  
A MLP-PNN neural network for CCD image super-resolution in wavelet packet domain (EI CONFERENCE) 会议论文  OAI收割
2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, October 12, 2008 - October 14, 2008, Dalian, China
Zhao X.; Fu D.; Zhai L.
收藏  |  浏览/下载:68/0  |  提交时间:2013/03/25
Image super-resolution methods process an input image sequence of a scene to obtain a still image with increased resolution. Classical approaches to this problem involve complex iterative minimization procedures  typically with high computational costs. In this paper is proposed a novel algorithm for super-resolution that enables a substantial decrease in computer load. First  decompose and reconstruct the image by wavelet packet. Before constructing the image  use neural network in place of other rebuilding method to reconstruct the coefficients in the wavelet packet domain. Second  probabilistic neural network architecture is used to perform a scattered-point interpolation of the image sequence data in the wavelet packet domain. The network kernel function is optimally determined for this problem by a MLP-PNN (Multi Layer Perceptron - Probabilistic Neural Network) trained on synthetic data. Network parameters dependent on the sequence noise level. This super-sampled image is spatially Altered to correct finite pixel size effects  to yield the final high-resolution estimate. This method can decrease the calculation cost and get perfect PSNR. Results are presented  showing the quality of the proposed method. 2008 IEEE.