激振设备选择对反射波法测桩结果的分析

同一根桩由于激振设备的不同而定性为断桩、明显缺陷桩、合格桩三种结果。低应变反射波法检测桩身完整性,在易产生桩身浅部水平裂隙、预制桩的接头、混凝土灌注桩的低强区,应选用能激发出宽、窄两种脉冲的多种激振方法同时检测。     

类比教学法在二极管电路分析中的应用

对于初次接触电子元器件学习的学生来说,分析由多个二极管组成的电路有一定难度,尤其是二极管优先导通原则更难理解,在教学中恰当地引入类比可达到良好的教学效果。     

多闭环直流拖动电控系统研究与设计

本文研究三闭环(即电流变化率环节、电流环节、转速环节)直流调速系统。通过给出直流电动机的参数来计算出三个调节器的参数。再通过用TC787来对三相全控桥式晶闸管进行整流。     

数字密码锁的设计与实现

密码锁是广泛应用于家庭和各种办公场所的防盗装置。文章在完成电路原理设计的同时,用Multisim10仿真软件对设计电路进行了仿真。通过仿真,电路工作的稳定性、安全性和可操作性得到充分验证。     

浅谈液压仿真技术在教学中的应用

本文以仿真在液压领域中的应用为例介绍了液压仿真技术在高职高专教学中的应用意义及发展前景并简要介绍了常用的几款液压仿真软件的特点。     

Quantum prediction GJR model and its applications

In this paper, a new statistical method to deal with the quantum finance is proposed. Through analyzing the stock data of China Mobile Communication Corporation, we discover its quantum financial effect, and then we innovate the method of testing the existence of the quantum financial effect. Furthermore, the classical normal process of the Glosten–Jagannathan–Runkle (GJR) model has been changed into the quantum wave‐function distribution, which is based on the ‘one‐dimensional infinitely deep square potential well’. The research shows that the quantum GJR model can reveal the interior uncertainty of the financial market and has a better prediction availability.     

可变网格多尺度有限差分模拟方法

针对典型各项同性地质模型,地震波波动方程和有限差分法对交错网格地震波场进行模拟仿真研究。为了得到一阶速度应力弹性波方程,首先对地震波波动方程原始形式进行推演,然后用时空二元高阶交错差分网格的方法对其进行离散化,最后对地质模型模拟仿真实验,并获取了对应的波场快照。最后由仿真结果表明,算法计算精度准确,计算效率高,而且可变网格的变换对地质模型的研究起到了很重要的作用。     

高压输电线路故障测距算法综述

高压输电线路故障定位的准确性对电网的稳定运行有着非常重要的意义。文章对高压输电线路现有的各种测距方法进行了归纳总结和研究分析,并评述了各自的优点和不足。     

技术创新驱动经济长波机理:文献回顾与整合模型

回顾了经济长波理论,阐述了学者们提出的4种技术创新驱动经济长波的机理——主导产业更迭机理、投资周期作用机理、范式转变作用机理和综合作用机理。基于此,提出了技术创新驱动经济长波的整合模型。最后,总结了技术创新驱动经济长波机理研究的未来方向。     

Applying the Grey prediction model to the global integrated circuit industry

This study examines the precision of the Grey forecasting model applied to samples based on demand and sales in the global integrated circuit (IC) industry. In doing so, the main objective is to explore which forecast model is most appropriate for the IC industry by comparing the empirical results from the Grey model (GM), time series and exponential smoothing. Furthermore, three residual modification models are applied to enhance the forecasting results. Empirical results indicate that the GM is better suited to short-term predictions than to mid- and long-term predictions. Meanwhile, the Markov-chain residual modification model achieves reliable and precise results.