Adaptive picking of microseismic event arrival using a power spectrum envelope

An automatic, adaptive, spectrogram-based algorithm for picking the arrival time of microseismic data is proposed. The algorithm provides a significant improvement in the ratio of detected events to false triggers and in the resolution of the microseismic structure. It mainly addresses the problem of automatic picking when the signal-to-noise ratio (S/N) is low and so false and missed triggers frequently occur. It combines the short time average/long time average (STA/LTA) algorithm with an envelope algorithm. It also constructs an envelope from a time-frequency representation of the signal. The threshold is set dynamically, according to the existing noise level and the S/N ratio. The algorithm also uses the fixed LTA value to represent the noise level for a seismic record. It is applied to pick the arrival times of P-waves of local events recorded at eight stations.     

一种多功能正弦信号发生器的设计

介绍了一种以FPGA和单片机为控制核心,基于调制原理配合使用DDS专用芯片AD9851,实现了一种多功能正弦信号发生器。实现了在30Hz～12MHz频率范围内正弦信号的无失真输出,且在输出端接50Ω功率电阻的条件下,输出电压峰峰值在5.8V～6V范围内。系统还具有AM、FM、ASK、FSK、PSK调制的功能,整体工作稳定,界面友好,操作简单。     

基于IMAN的产品数据管理的实现

该文首先提出了上海家化包装部对 ＰＤＭ的应用需求,在此基础上讨论了包装部 ＰＤＭ系统的功能要求、体系结构、硬件配置和开发技术。最后,根据ＰＤＭ实施的具体实践,分析了 ＰＤＭ实施的效益和障碍。     

全模拟紧凑型电站培训仿真器的开发

该文主要介绍了由作者开发的一台全模拟紧凑型电站培训仿真器的功能和特点,着重阐述了基于WindowsNT的WinSock通讯模式,以及操作界面组态、DCS组态环境、使得用户操作界面与MAX1000在外观上具有高度的一致性。     

A parallel matrix factorization based recommender by alternating stochastic gradient decent

Collaborative Filtering (CF) can be achieved by Matrix Factorization (MF) with high prediction accuracy and scalability. Most of the current MF based recommenders, however, are serial, which prevent them sharing the efficiency brought by the rapid progress in parallel programming techniques. Aiming at parallelizing the CF recommender based on Regularized Matrix Factorization (RMF), we first carry out the theoretical analysis on the parameter updating process of RMF, whereby we can figure out that the main obstacle preventing the model from parallelism is the inter-dependence between item and user features. To remove the inter-dependence among parameters, we apply the Alternating Stochastic Gradient Solver (ASGD) solver to deal with the parameter training process. On this basis, we subsequently propose the parallel RMF (P-RMF) model, of which the training process can be parallelized through simultaneously training different user/item features. Experiments on two large, real datasets illustrate that our P-RMF model can provide a faster solution to CF problem when compared to the original RMF and another parallel MF based recommender.     

碳、硅含量对重载车轮钢显微组织的影响

利用金相显微术、扫描电镜、透射电镜以及X射线衍射测量技术研究碳、硅含量对重载车轮钢显微组织的影响。结果表明:重载车轮钢的显微组织由珠光体和少量先共析铁素体组成,适当降低碳含量、增加硅含量不仅使珠光体含量减少,而且导致珠光体的片层间距增大;与珠光体团内层片状组织相比,珠光体团界处的渗碳体不再呈片状、而是以颗粒状不连续分布,同时渗碳体含量相对较少。     

稠油底水油藏生产压差值对采收率的影响

研究生产压差对稠油底水油藏采收率的影响。结果表明:波及系数随着生产压差的增大而增大,最终趋于稳定;驱油效率随着生产压差的增大而减小,最终趋于稳定;采收率随着生产压差增大开始有小幅上升,但是增加到一定程度后,采收率开始小幅下降;生产压差对生产时间影响较大,生产时间随生产压差的增大以指数方式下降;稠油底水油藏采收率和生产时间,生产压差与其之间存在最大合理生产压差;针对海上油田开发高风险、高投入的特点,适当放大生产压差高速开采稠油底水油藏的开发方式是可行的。     

模糊加权流数据软子空间的聚类算法

现有的软子空间聚类算法都是基于批处理技术的聚类算法,不能很好地应用于高维数据流或大规模数据的聚类研究．利用模糊可扩展聚类框架,与模糊加权软子空间聚类算法相结合,提出了一种有效的模糊加权流数据软子空间聚类算法（FWSSC）．实验结果表明,FWSSC对于高维流数据可以得到与批处理软子空间聚类方法近似一致的实验结果．     

波纹腹板H型钢梁柱刚接节点静力性能

波纹腹板H型钢能以较薄的钢板获得较高的抗剪屈曲能力,从而可以大量节约钢材。但传统的H型钢梁柱刚接节点的构造形式不适用于波纹腹板H型钢梁,为此提出了2种构造形式的波纹腹板H型钢梁柱刚接节点的构造形式。通过静力试验考察这2种节点的承载力以及各截面的内力分布,并对比了试验结果与有限元分析结果及实用设计公式的计算结果,验证了有限元分析的合理性以及实用设计公式的可靠性。使用有限元分析软件ABAQUS对节点进行了参数分析,研究了端板厚度、连接板厚度与波纹断点对节点承载力的影响。     

多元系统耦合多新息随机梯度类辨识方法

针对多元线性回归系统,利用耦合辨识概念和多新息辨识理论,讨论了多元随机梯度算法、多元多新息随机梯度算法,以及变递推间隔多元多新息梯度算法,进一步分解多元系统为一些子系统,给出了耦合子系统随机梯度算法、耦合随机梯度算法、耦合子系统多新息随机梯度算法、耦合多新息随机梯度算法,并将这些方法推广到多元伪线性滑动平均系统和多元伪线性自回归滑动平均系统.文中给出了几个典型耦合随机梯度算法、耦合多新息随机梯度算法的计算步骤和示意图.