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浏览/检索结果: 共10条，第1-10条 帮助

条数/页： 排序方式：
Experimental study on the impact load characteristics of a single-row pile dam against debris flow 期刊论文  OAI收割
GEOMATICS NATURAL HAZARDS & RISK, 2024, 卷号: 15, 期号: 1, 页码: 17
作者:  Sun, Hao;  Wang, Zhuang;  You, Yong;  Zhao, Wanyu;  Liu, Jinfeng
  |  收藏  |  浏览/下载：24/0  |  提交时间：2024/08/19
Agricultural nonpoint source pollutant loads into water bodies in a typical basin in the middle reach of the Yangtze River 期刊论文  OAI收割
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY, 2023, 卷号: 268, 页码: 115728
作者:  Feng, Zhaohui;  Zhang, Rong;  Liu, Xiaojie;  Peng, Qin;  Wang, Lingqing
  |  收藏  |  浏览/下载：15/0  |  提交时间：2024/01/04
Structural Design and Analysis of the BCC Temporary Supports 期刊论文  OAI收割
IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2021, 卷号: 31
作者:  Yu, Chao
  |  收藏  |  浏览/下载：39/0  |  提交时间：2021/11/29
Long-Term Deformation of Highway Subgrade under Coupling Effect of Traffic Load and Drying-Wetting Cycles 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF GEOMECHANICS, 2020, 卷号: 20, 期号: 2, 页码: 12
作者:  Lu, Zheng;  Fang, Ran;  Chen, Lihao;  She, Jianbo;  Xian, Shaohua
  |  收藏  |  浏览/下载：34/0  |  提交时间：2021/05/25
Automatic load change coordinated control of air separation units 期刊论文  OAI收割
Control Engineering Practice, 2019, 卷号: 84, 页码: 194-207
作者:  Yu HB(于海斌);  Ma XL(马小龙);  Zou T(邹涛);  Liu JB(刘建帮);  Zhang X(张鑫)
  |  收藏  |  浏览/下载：102/0  |  提交时间：2018/12/27
Dynamic characteristics of tailings reservoir under seismic load 期刊论文  OAI收割
ENVIRONMENTAL EARTH SCIENCES, 2018, 卷号: 77, 期号: 18, 页码: 11
作者:  Su, Menglei;  Chen, Yijun;  Liang, Bing;  Song, Chenguang;  Jin, Jiaxu
  |  收藏  |  浏览/下载：52/0  |  提交时间：2018/12/29
Dynamic characteristics of tailings reservoir under seismic load 期刊论文  OAI收割
ENVIRONMENTAL EARTH SCIENCES, 2018, 卷号: 77, 期号: 18, 页码: -
作者:  Jin, Jiaxu;  Song, Chenguang;  Liang, Bing;  Chen, Yijun;  Su, Menglei
  |  收藏  |  浏览/下载：15/0  |  提交时间：2020/04/08
Comparison of impacts of human activities and climate change on water quantity and quality in Finnish agricultural catchments 期刊论文  OAI收割
LANDSCAPE ECOLOGY, 2015, 卷号: 30, 期号: 3, 页码: 415-428
作者:  Rankinen, K.;  Gao, G.;  Granlund, K.;  Gronroos, J.;  Vesikko, L.
收藏  |  浏览/下载：31/0  |  提交时间：2016/03/03
Space optical remote sensor of the CAE thermal control index calculation method (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Advanced Design and Manufacturing Engineering, ADME 2011, September 16, 2011 - September 18, 2011, Guangzhou, China
作者:  Li L.
收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25
The thermal control indicators CAE methods of Space optical remote sensor are analyzed in the presented work. We sat up a thermal optical analysis model for space optical remote sensor. By assuming fully covered by in-orbit temperature load  and using the finite element method for thermal deformation analysis  we obtained the optical remote sensor surface deformation and displacement under various thermal loading. Using ZERNIKE polynomial  wave was fitted to obtain ZERNIKE polynomial coefficients which were incorporated into the optical system design. Using CODE V optical calculation software  heat-ray machines under elastic deformation of the system point spread function  transfer function (MTF)  wave front differential (WFE) etc. were calculated. Image quality changes of remote sensors are discussed in variety assumed cases such as temperature loads of quality change. By repeated iteration  critical value of temperature fields meeting the design requirements are obtained for the optical system. Optical indicators were converged to the temperature field indicator  then reasonable indicators of thermal control for remote sensors were obtained. For the thermal control design  this method provided a reliable basis for design. (2011) Trans Tech Publications  Switzerland.  
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.