含噪声的复杂动力网络的拓扑结构识别

网络的拓扑识别在现今社会中是一个很重要的问题,在过去十年中,在这方面已经有很多研究并取得了很好的成果。本文主要用随机微分方程中的拉塞尔不变原理来研究含噪声的复杂动力网络的拓扑识别．并通过使用Duffing系统来进行仿真,得到较好的结果。     

网络新闻价值的评估与分析

从主题导向、报道内涵、形式锤炼、技术展现、宣传效果5个方面全面分析了网络新闻价值评估的意义和原则,构建了网络新闻的价值评估体系和结构方程模型,并且计算了评估例子,为网络新闻价值评估实际工作提供有益的参考。     

利用稀疏GCP的多航摄条带机载InSAR定标方法

提出一种利用条带间连接点进行多条带干涉定标的方法.该方法利用条带间重叠区的连接点作为控制点,既实现了多条带数据的干涉定标,又有效减少了地面控制点数量.实验结果表明,该方法可以准确获取各条带的干涉定标参数,并能解决实际应用中大量布设地面控制点的问题,降低了外定标工作的困难.     

区域科技资源配置的影响因素分析——基于结构方程模型的实证研究

利用结构方程模型,对区域科技资源配置影响因素进行实证研究。结果表明,科技资源投入、科技配置环境和持续发展能力对科技资源配置均有显著影响,且科技资源投入对科技资源配置的影响最大,其次为科技配置环境和持续发展能力,并由此提出相关建议。     

常微分方程不同解法比较

常微分方程在自然科学和工程技术中有着广泛的应用,对于理工科院校来说,微分方程在电气工程等专业的应用尤其广泛,因此,由实际问题列出微分方程后,其解法非常关键。常微分方程的求解方法种类很多,以同一例题为例,比较常微分方程的不同解法,对比其优缺点,找出学生易于理解的方法。     

差分方程模型共轭同化方法的误差分析

本文从统计的角度,证明了差分方程的共轭同化方法是有效的。     

高速发动机油膜惯性对活塞裙润滑的影响

By an iteration method, the influence of oil film inertia on piston skirt lubrication in a high speed engine is investigated. By alternately solving the Navier-Stocks equations and the Reynolds equation, the new iteration method can trace the variations of velocity field and pressure field with time. Based on this, the mixed-lubrication model suitable for the piston skirt of high engines is proposed. By introducing the inertia coefficient, the new lubrication model includes the inertia term in oil film. The model can be also used to solve for the lubrication performances of a piston skirt in low or medium speed engines and for lubrication problem in general excluding     

随机行走的扩散方程

扩散方程是研究气体的扩散,液体的渗透,半导体材料中的杂质扩散等问题所满足的微分方程.一般是由扩散定律和质量守恒定律得到的.通过一个简单的随机行走模型,应用概率的期望与方差以及差分方程得到一个一维的扩散方程.     

关于Diophantine方程x^3-1=Dy^2（D=p,2p）

运用Pell方程px^2-3 y^2=1的最小解、同余式、平方剩余、勒让德符号等初等方法,证明了p是6k＋1型的奇素数时,Diophantine方程x^3-1=Dy^2（D=p,2p）正整数解的情况.     

Determinants of mHealth success: An empirical investigation of the user perspective

Mobile health (mHealth) applications have become an important tool to support public health, especially in times of increased health awareness in the midst of the COVID-19 pandemic. However, there is still uncertainty about what factors determine successful mHealth services from the users’ perspective. Based on the results of a systematic literature review, a qualitative content analysis of available apps and semi-structured user and expert interviews, we derive a structural model with antecedents on user attitudes towards mHealth and user satisfaction with the mHealth application. These variables determine users’ intention to continue using the application and their intention to recommend it to others. For verification, we tested the model with a sample of 249 German mHealth users from the “MyFitnessPal” community using structural equation modelling and found that all derived path relations have significant coefficients.