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141.
We consider the inverse problem of permeability estimation for two-phase porous-media flow. The novel approach is based on
regularization by zonation, where the geometry and size of the regions are chosen adaptively during the optimization procedure.
To achieve this, we have utilized level-set functions to represent the permeability. The available data are sparsely distributed
in space; hence, it is reasonable to confine the estimation to coarse-scale structures. The level-set approach is able to
alter the boundaries between regions of different permeability without strict restrictions on their shape; however, when the
data are sparse, a reasonable initial guess for the permeability is required. For this task, we use adaptive multiscale permeability
estimation, which has the potential of identifying main permeability variations. These are described by a piecewise constant
function, where the constant values are attained on rectangular zones. In the current work, we develop a level-set corrector
strategy, assuming adaptive multiscale permeability estimation as a predictor. 相似文献
142.
Comparison of Two Fading Filters anc Adaptively Robust Filter 总被引:1,自引:0,他引:1
YANG Yuanxi GAO Weiguang 《地球空间信息科学学报》2007,10(3):200-203
Two kinds of fading filters and their principles are introduced. An adaptive robust filter is given with corresponding principle. The basic abilities of the fading filters and adaptively robust filter in controlling the influences of the kinematic model errors are analyzed. A practical example is given. The results of the fading filter and adaptively robust filter are compared and analyzed. 相似文献
143.
土地覆盖制图:基于最优化遥感数据的支撑向量机分类 总被引:1,自引:0,他引:1
遥感数据具有在不同空间、光谱和时间尺度上获取地表测量信息的能力,使其成为获取土地覆盖信息的一个主要数据源。影像分类即把卫星影像上的相关像元划分给某类已知的土地覆盖类型的过程。支撑向量机(SVMs)是一种土地覆盖分类的新技术。三种常用的SVMs是:基于线性和多项式的SVM以及具有高斯核函数的SVM分类器,分类能否成功地应用有赖于其各自选择的最佳参数。但是海量的遥感数据使得这些参数的确定速度十分缓慢。本文研究了一种新的基于最优化遥感数据压缩技术的SVM分类方法。研究显示用于获取SVM参数的数据量能够在不影响土地覆盖的分类精度的前提下进行压缩。数据压缩成功的应用于多项式和高斯核函数的SVM分类,而线性SVM的分类精度却非常低。 相似文献
144.
针对传统BP神经网络容易发散、泛化能力差等问题,采用自适应Kalman滤波方法训练神经网络的连接权。与Kalman滤波训练连接权和传统的BP算法相比,该方法提高了BP神经网络计算精度,增强了泛化能力。实测数据的计算结果证明了该方法的可行性与有效性。 相似文献
145.
R. Saravanathamizhan N. Mohan N. Balasubramanian V. Ramamurthi C. Ahmed Basha 《洁净——土壤、空气、水》2007,35(4):355-361
In the present investigation, treatment of textile effluent using an electrochemical technique was designed and analyzed using the Box-Behnken method. The influence of individual parameters on electro-oxidation of textile effluent has been critically examined using the response surface method (RSM), and a quadratic model for chemical oxygen demand (COD) reduction has been developed. It has been observed from the present analysis that the predicted values are in good agreement with experimental data with a correlation coefficient of 0.945. 相似文献
146.
一种应用于城市区域的自适应形态学滤波方法 总被引:5,自引:0,他引:5
数学形态学滤波是从激光雷达数据中识别地面点、创建数字高程模型的一种重要方法,在应用中取得了较好的效果,但也具有一些明显不足。在分析现有方法优劣及城市地形特点的基础上,提出一种应用于城市环境的自适应形态学滤波算法。该方法采用分层识别策略:首先通过分割得到地面主体部分;之后利用正规化高度值寻找其余地面区域;最后估计地物覆盖区域地面点取值。采用三个不同分辨率、不同地形/地物特点的数据集进行了实验,结果表明该方法能有效识别地面和地物点,并解决了窗口尺寸限制、粗差误判等问题。 相似文献
147.
148.
THETHEORETICALSTUDYONTHELAWSOFDRAGREDUCTIONBYAERATIONINOPENCHANNEL1ZHENGYonggang2,FANGDuo3andLIGuifen4ABSTRACTThelawsofdragre... 相似文献
149.
INVESTIGATION OF STATUS AND DEMAND ON PUBLIC SERVICE OF EARTHQUAKE DISASTER MITIGATION IN CHINA
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In order to make a comprehensive and systematic evaluation of the status and demands of public service of earthquake disaster mitigation, we launched an investigation with Social Opinion Polling Center of National Bureau of Statistics on the current situation of public service of earthquake disaster mitigation and the demands for it in 2018. The investigation was conducted for 18~75-year-old residents for both urban and rural areas in 31 provinces of China mainland using the Computer Assisted Telephone Interview(CATI)method and 20 078 valid samples were received in total. The questionnaire mainly includes two parts: the current situation assessment and the demand survey. The assessment of public service status consists of five indicators: earthquake emergency drill, knowledge publicity of earthquake prevention and disaster reduction, acquisition of earthquake information, reliability of information released by earthquake agencies, and overall satisfaction. The results indicate that only 27.4% of public have participated the earthquake emergency drill, and 73.5% of public have learned some knowledge about earthquake prevention and disaster reduction in different level. It shows that rural residents have a lower level of scientific knowledge of earthquake disaster mitigation although the rural residents have a higher level of satisfaction. Meanwhile, 82.9% of the public are very concerned about earthquake-related information, and the earthquake information acquisition convenience score is 81.51 points(the full score is 100 points). At present, TV is still the most popular way to obtain the earthquake-related information, besides that, network and the new media app such as Wechat and Weibo play a more and more important role. In terms of the reliability of official information published by the earthquake administration, the score is 83.69 points which indicates that the public tend to believe in official departments. Furthermore, the degree of satisfaction evaluation of public service of earthquake disaster mitigation is marked 76.44 points which shows that there is still much room for improvement. The more educated the public, the less satisfied they are with the public service of earthquake prevention and disaster reduction. The results also show that 51.81% of the public are willing to obtain earthquake warning information at their own expense. As for the demand, the most expectative services for the public are post-earthquake rescue and reconstruction, earthquake warning, and house earthquake resilience test. The results of the investigation may provide some reference for the government to provide better services of earthquake disaster mitigation and to make scientific knowledge popularization in a more scientific way. 相似文献
150.