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Search Results: 1 - 10 of 42876 matches for " 冯全 "
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加强婴幼儿的早期教育――加速培养人才的一项重要对策

科技进步与对策 , 1986,
Abstract:
结合模型进行高中生物核心概念教学的尝试

华南师范大学学报(自然科学版) , 2014,
Abstract: 掌握生物学核心概念是学好高中生物的前提条件,在高中生物学习过程中要让学生学会建立生物模型,理清知识系统里各个知识点的联系与差异,让其形成一张无形的“知识大网”.
北方地区cng加气站设备及配套设施

天然气工业 , 1999,
Abstract: ?由于我国南北气候差异较大,在南方能够正常使用的天然气加气站设备,在北方就不能正常运转或操作起来难度大.随着天然气汽车技术的不断发展,北方地区的加气站设备及配套设施的选型就非常重要了.介绍了华北油田引进的cng加气站,并由此对我国北方地区cng加气站设备选型进行了分析.
基于全卷积网络的葡萄病害叶片分割
赵兵,
南京农业大学学报 , 2018, DOI: 10.7685/jnau.201711021
Abstract: [目的]本文旨在解决不同光照和复杂背景下葡萄病害叶片图像的自动分割。[方法]使用了一种全卷积网络(FCN)的葡萄病害叶片图像的自动分割算法。该算法在结构上将传统的卷积神经网络(CNN)后3个全连接层换成3个卷积层。通过多层的卷积,对输入葡萄叶片图像的特征进行提取;通过池化层,对特征信息进行筛选,缩减特征尺寸,以达到减少网络参数的目的。再通过反卷积对特征上采样,从高维、小尺寸特征恢复到图像原始尺寸,对具有原始尺寸的特征进行逐像素分类,确定原图像中每个像素位置的标签是背景还是前景。因只经过上采样处理后的分割图像会较粗糙,故通过跳跃结构将较为粗糙的原图进行局部信息与整体信息的整合,达到对分割结果进行精细化处理的目的。[结果]本算法对葡萄病害叶片有较好的分割效果,单叶片和复杂多叶片图像的马修斯相互系数(MCC)分别为0.821和0.747,MCC平均值较对比算法提高了6.5%。[结论]本算法能够较精确地分割自然条件下成像的葡萄病害叶片图像,为后续在叶片精准分割病害区域和提取病害特征创造了良好的条件。
[Objectives]The research aimed to solve the automatic segmentation of diseased grape leaf images under different light and cluttered background.[Methods]We used a full convolution network(FCN)to automatically segment the grape leaf images. The method replaced the last three full connection layers in a tradition convolution neural network(CNN)with three convolution layers. Through multiple convolution layers,the features of input of images were extracted. And by the pooling layers,feature sizes were reduced so the network parameters decreased. When the features were gotten,they were up-sampled with the de-convolution layers,restoring the original image size. The output was labeled background and foreground with pixel wise classifiers. However,the segmentation was kind of rough. So,two skipping structures were employed to get finer results by integrating the local information and whole information.[Results]The experimental results showed that the algorithm worked well in segmenting the grape leaves of diseases. The mathews mutual coefficient(MCC)achieved 0.821 and 0.747 for single leaf and multiple leaves,respectively. The average MCC improved 6.5% than the contrasted algorithm.[Conclusions]Due to the good performance of the proposed algorithm,it can create good conditions for the subsequent segmentation of the disease area in leaves and the extraction of disease features
基于小波分析的地下流体监测数据分形特征研究
Fractal Features of Groundwater Monitoring Data Based on Wavelet Analysis
 [PDF]

明亮, 薛凤英,
Advances in Geosciences (AG) , 2015, DOI: 10.12677/AG.2015.53016
Abstract:
长期以来,地震预报主要是通过观测和分析前兆数据进行的。而地下流体数据作为前兆数据的重要组成部分,对地震的孕育和发生过程有十分灵敏的前兆响应。将分形理论用于地下流体数据分析,从而可以更好的识别地下流体数据异常。本文利用小波方法对地下流体数据的分形特征进行研究,通过地下流体数据的相空间系数分布验证前兆数据自相似的分形特征。
Earthquake prediction is mainly through observation and analysis of precursor data for a long time. The underground fluid data, as an important part of precursory data, have a very sensitive response to the process of birth and an earthquake precursor. By applying fractal theory to analyze underground fluid data, it can identify the abnormal of fluid data. This paper uses wavelet method study on fractal feature of underground fluid data, and through phase space coefficient distribution of underground fluid data, verifies fractal feature of precursor data self similarity.
小波方法在宝鸡台地电场干扰处理中的分析研究
Research on Removing Noises in Geoelectric Field Observation at Baoji Station Using Wavelet Transform
 [PDF]

薛凤英, 明亮,, 许维
Journal of Image and Signal Processing (JISP) , 2015, DOI: 10.12677/JISP.2015.44009
Abstract:
地电场观测是地震前兆预报中最重要的观测方法之一,而实际前兆数据监测中,地电阻率供电对地电场数据造成了极大干扰,且使数据失去了原有价值。本文利用小波能够同时在时间域和频率域分辨率分析的特点,从小波变换的基本原理出发,结合Matlab仿真软件和小波工具箱,对受到地电阻率供电干扰的地电场数据进行处理。处理结果表明,采用此方法可以很好地消除地电场观测数据中地电阻率供电产生的干扰,还原信号的原始发展状态,为宝鸡台地电前兆观测提供了更加可靠的数据资料。
Electric field observation is one of the most important observation methods in earthquake pre-cursor prediction, but in actual precursory data monitoring, earth resistivity power supply has caused a great disturbance for electric field data, losing its original value. Based on the advantages of wavelet analysis in the time domain and frequency domain, this paper introduced how to use Matlab simulation software and wavelet toolbox to deal with the electric field observation affected by earth resistivity power supply, from the basic principle of wavelet transform. The study results show that this method is a good way to eliminate interference electric resistivity in the power supply, not only reducing development status of the original signal, but also providing a more reliable data in geoelectric field observation at Baoji station.
基于分层多子群的混沌粒子群优化算法
王维博,
控制与决策 , 2010,
Abstract: 在分层多子群结构模型的基础上,提出一种混沌粒子群优化算法(HCPSO).该算法对非线性递减的惯性权重进行混沌变异,并采用了混沌搜索方法.在更新全局历史最优位置每一维分量时,选取不同的若干个体作为学习对象,并计算它们的平均位置.混沌搜索区域半径可根据粒子个体最优位置与上述平均位置间的距离自适应地调整.通过对几种典型函数的测试结果表明,该算法具有较好的全局搜索和局部搜索能力,可有效避免早熟收敛问题.
基于聚集度控制的PSO算法研究
刘东,
控制与决策 , 2011,
Abstract: 针对粒子群优化(PSO)算法在处理复杂优化问题时,容易早熟收敛的问题,将比例控制器用于粒子群算法种群聚集度控制.粒子种群可以在任一聚集范围内保持任意时间的搜索,这样能够更好地平衡种群聚集度和搜索精度,从而提高PSO算法处理复杂优化问题的效率.对多零点和低旁瓣约束情况下的阵列天线方向图优化进行仿真实验,结果表明所提算法可在处理复杂优化问题上取得更好的优化效果.
一类带有时延的非线性网络控制系统可靠模糊控制
, 王申
自动化学报 , 2012, DOI: 10.3724/SP.J.1004.2012.01091
Abstract: ?研究了带有状态时延及执行器故障的非线性网络控制系统的可靠模糊控制问题.利用输入时延方法,将带有网络诱导时延和数据包丢失的非线性网络控制系统等价的转化为具有时变时延的Takagi-Sugeno(T-S)模糊系统.时延对象的状态信息,采用时滞分解方法,得以充分的考虑.并利用锥补线性化迭代算法,将非凸的稳定性条件转化成可行的线性矩阵不等式(LMI)的形式.文中将更紧的界处理方法(相互凸组合技术)与不相关增广矩阵项引入到Lyapunov函数的处理当中,获得保守性更小的稳定性条件.数值算例验证了该方法的有效性.
同业拆借利率的ARMA-GARCH模型VAR度量研究
,王德
中央财经大学学报 , 2009,
Abstract: ?本文以2002年6月4日至2009年3月31日期间我国银行同业拆借利率为研究对象,分别建立了隔夜拆借和7天拆借品种的预测模型,并度量了其利率风险,主要结论如下:通过选择适当滞后阶数的ARMA-GARCH类模型,可以有效地刻画同业拆借利率的动态特性;盼布和岁分布下的模型能更好地捕捉同业拆借利率序列的尖峰厚尾性;同业拆借利率存在显著的自相关性、风险溢价效应和波动的反杠杆效应,即利率上升时的波动更大;VAR方法可以有效地预测同业拆借利率风险,并且7天拆借模型的预测能力优于隔夜拆借模型;我国同业拆借币场的利率风险很高,商业银行利率风险管理水平较低。
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