管井降水施工技术

文章介绍了管井降水的施工工艺,指出了关键工序和技术要点.     

关于体育教学改革的问题探讨

分析体育课教学中的主要任务、教材内容、教学方法、成绩考核等几个问题,并对此进行初步的研究和探讨,提出改革意见和措施,以改善体育课的教学效果。     

石油企业财务风险评价神经网络模型的建立

石油企业财务风险评价是石油行业的重要课题.在确立石油企业财务风险评价指标体系的基础上,建立了基于模糊神经网络的石油企业财务风险评价模型.该评价模型分为模糊量化模块和模糊神经网络(FNN)模块,可根据实际问题进行具体调节,具有学习的功能.经过对200多家石油企业的实证分析,结果表明该模型网络预测误差小,是一种可靠、有效的...     

论瞿秋白的调和思想——以《多余的话》为中心

受自身教育、家庭背景的影响,瞿秋白从内心深处接受了调和思想。他强调宽容节制,提倡求同存异,并将这一思想运用到对党内分歧的解决中。但随着革命斗争的日趋激进,他的这一思想与时代产生了错位,因此受到了错误批判。     

Formation mechanism of subtrenches on cone-shaped patterned sapphire substrate

In this paper, the cone-shaped patterned sapphire substrates (PSS) were etched by an inductively couple plasma with BCl 3 as the reacting gas. The influence of the operating pressure and the RF bias power on subtrenches of the cone-shaped PSS and the formation mechanism of subtrenches were investigated. The profiles of patterns were characterized by FESEM (field emission scanning electron microscope). It showed that the subtrench size varied with the operating pressure and the RF bias power. As the operatin...     

FEM analyses for influences of stress corrosion and pressure solution on THM coupling in dual-porosity rock mass

With the models of stress corrosion and pressure solution, by Yasuhara et al., two computation conditions were designed for a hypothetical nuclear waste repository in an unsaturated dual-porosity rock mass: (i) the fracture apertures are changed with the stress corrosion and pressure solution (the porosity of rock matrix is also a function of stress); (ii) the fracture apertures and the porosity of rock matrix are constants. Then the corresponding two-dimensional FEM analyses for the coupled thermohydro-mec...     

窄带滤光片光学极值法直接监控的光学设计

窄带滤光片是应用于光谱学、激光、天文物理学、通信等各个领域的光学组件,精确控制每一层膜厚是制备滤光片的困难所在.采用光学极值法直接监控工件,可以同时制备多件滤光片.设计了监控光路和信号获得电路,通过探测到的测试信号,监控薄膜膜厚,实现了直接监控.     

Augmented Online Sequential Quaternion Extreme Learning Machine

Neural Processing Letters - Online sequential extreme learning machine (OS-ELM) is one of the most popular real-time learning strategy for feedforward neural networks with single hidden layer due...     

MEMS陀螺仪的稀疏冗余去噪

为了提高随钻测量过程中MEMS陀螺仪的测量精度,抑制振动信号等对陀螺仪漂移造成测量精度的影响,采用经验模态分解(Empirical Mode Decomposition,EMD)和压缩感知(compressed sensing,CS)的算法进行降噪.首先对MEMS陀螺信号进行EMD分解,利用连续均方误差(CMSE)计算两个连续重构陀螺仪信号的欧式距离,以此将分解得到的模态函数(IMFs)以高、低频的形式分离,剔除高频噪声模态的影响;构建冗余字典,使低频IMFs分量在该字典上稀疏表示,利用贝叶斯理论对优化剩余IMFs分量重构;同时,在该字典上添加一列误差补偿项,通过贝叶斯估计求得.最后将处理后的剩余IMFs分量和补偿项叠加重构.去噪前后,MEMS陀螺仪数据解算的方位角累积误差由11.8562°减小到0.4725°.仿真实验分析可知,该算法可有效去除陀螺仪信号中的噪声.