DLW型喷气织机电子送经机构分析

本文对多尼尔ＤＬＷ型喷气织机的电子送经机构的结构和性能进行了分析，讨论了该机构可织制织物纬度的变化范围。     

对多普勒效应的讨论

当波源和观察者有相对运动时,观察者会感受到波源频率发生变化。     

运动静止观新探

传统的运动静止观、特别是静止观 ,存着着严重弊病 ,因而物质的运动静止间的辩证关系未能得到真正揭示 ,其地位也未予以应有的重视。运动、静止与物质之间的关系可以构成运动静止规律。它既是唯物论与辩证法联系的桥梁 ,又是唯物辩证法体系中的最高规律。这条规律可以表述为 :运动是事物质的变异性 ,静止是事物质的稳定性。运动是静止的内容 ,静止是运动的形式。运动和静止都是物质的固有属性和存在方式。运动和静止的矛盾是事物存在和发展的最终源泉和动力。     

Brownian Bridge and Other Path-dependent Gaussian Processes Vectorial Simulation

The iterative simulation of the Brownian bridge is well known. In this article, we present a vectorial simulation alternative based on Gaussian processes for machine learning regression that is suitable for interpreted programming languages implementations. We extend the vectorial simulation of path-dependent trajectories to other Gaussian processes, namely, sequences of Brownian bridges, geometric Brownian motion, fractional Brownian motion, and Ornstein–Ulenbeck mean reversion process.     

Analysis of MAP/M/1 queue with working breakdowns

In this paper, we analyze the MAP/M/1 queue with working breakdowns. The number of customers in the system in the steady state is obtained by the matrix geometric solution method. Then, several useful performance measures are provided. Furthermore, we show a recursive formula to obtain an approximation of stationary sojourn time. At last, we present several numerical examples.     

Innovative methods for modeling of scale invariant processes

This paper presents some innovative methods for modeling discrete scale invariant (DSI) processes and evaluation of corresponding parameters. For the case where the absolute values of the increments of DSI processes are in general increasing, we consider some moving sample variance of the increments and present some heuristic algorithm to characterize successive scale intervals. This enables us to estimate scale parameter of such DSI processes. To present some superior structure for the modeling of DSI processes, we consider the possibility that the variations inside the prescribed scale intervals show some further self-similar behavior. Such consideration enables us to provide more efficient estimators for Hurst parameters. We also present two competitive estimation methods for the Hurst parameters of self-similar processes with stationary increments and prove their efficiency. Using simulated samples of some simple fractional Brownian motion, we show that our estimators of Hurst parameter are more efficient as compared with the celebrated methods of convex rearrangement and quadratic variation. Finally we apply the proposed methods to evaluate DSI behavior of the S&P500 indices in some period.     

非圆柱体车削的进给运动分析

分析了车削非圆柱体径向进给运动的振动特性、速度特性、加速度特性。论述在满足这些特性的前提下如何提高工件转速和加工质量 ,以及非圆截面柱体零件的设计、加工工艺的制定、设备的选择等方面应注意的问题     

Of Physics and Factory Physics

The “Principle of Least Action" is the foundational principle of fundamental physics. Application of this principle to the supply chain naturally results in an “uncertainty principle” linking variation in production to variation in net‐inventory. The model also provides an easy means of determining the stationary distribution of net‐inventory for a variety of control strategies. The formalism results in a control strategy that outperforms commonly used control methods.     

Nonstationary Binary Choice

This paper develops an asymptotic theory for time series binary choice models with nonstationary explanatory variables generated as integrated processes. Both logit and probit models are covered. The maximum likelihood (ML) estimator is consistent but a new phenomenon arises in its limit distribution theory. The estimator consists of a mixture of two components, one of which is parallel to and the other orthogonal to the direction of the true parameter vector, with the latter being the principal component. The ML estimator is shown to converge at a rate of n^3/4 along its principal component but has the slower rate of n^1/4 convergence in all other directions. This is the first instance known to the authors of multiple convergence rates in models where the regressors have the same (full rank) stochastic order and where the parameters appear in linear forms of these regressors. It is a consequence of the fact that the estimating equations involve nonlinear integrable transformations of linear forms of integrated processes as well as polynomials in these processes, and the asymptotic behavior of these elements is quite different. The limit distribution of the ML estimator is derived and is shown to be a mixture of two mixed normal distributions with mixing variates that are dependent upon Brownian local time as well as Brownian motion. It is further shown that the sample proportion of binary choices follows an arc sine law and therefore spends most of its time in the neighborhood of zero or unity. The result has implications for policy decision making that involves binary choices and where the decisions depend on economic fundamentals that involve stochastic trends. Our limit theory shows that, in such conditions, policy is likely to manifest streams of little intervention or intensive intervention.