Engset multi‐rate state‐dependent loss models with QoS guarantee

We consider a single link loss system of quasi‐random input, described by the Engset multirate loss model (EnMLM). Blocked calls may once reattempt to be connected to the system requiring less bandwidth; then the system is described by the single retry model for finite sources (f‐SRM). The EnMLM and the f‐SRM are extended with the single threshold finite source model (f‐STM), where calls may attempt to be connected to the system with less bandwidth requirements, according to the link occupancy, before blocking occurs. We focus on CBP equalization in the EnMLM, f‐SRM and f‐STM, under the bandwidth reservation (BR) policy. For this analysis, we apply two approximate methods, the Roberts' method and the method of reverse transition rates (RTR), which lead to a recursive CBP calculation. We evaluate the accuracy of the above models under the BR policy by comparing the analytical with simulation CBP results, based on the relative approximation errors (RAE). The results are highly satisfactory because they show that the proposed models (formulas) lead to small RAE. Copyright © 2005 John Wiley & Sons, Ltd.     

水平井现场地质导向方法及其应用

为了降低水平井的钻探工程成本，要尽量不钻或少钻导眼井段。根据水平井在钻前准备、深度预测、稳定井斜、水平导入4个阶段的不同作业特点，依据现场施工经验，归纳提出了利用公式法、小导眼法、曲线指示法、扭矩与dc指数法等方法进行地质导向的成功实践。利用这些方法，可以有效地指导现场钻井人员，将钻井轨迹比较准确地导入目的层中。     

螺旋弹簧的非线性理论及实验研究

本文通过对经典的圆柱螺旋弹簧理论的修正,给出了非线性理论解析公式.还通过对螺旋弹簧的精确测量和处理,验证了本文的非线性理论.     

圆柱形螺旋弹簧的简捷计算

将圆柱形螺旋弹簧设计中的部分常用公式组合成一组仅与弹簧指数Ｃ有关的公式，并将Ｃ＝４～１４代入计算而获得一套参数表，由此，可提高圆柱形螺旋弹簧的设计效率。     

An elementary proof of Sylvester’s double sums for subresultants

In 1853 Sylvester stated and proved an elegant formula that expresses the polynomial subresultants in terms of the roots of the input polynomials. Sylvester’s formula was also recently proved by Lascoux and Pragacz using multi-Schur functions and divided differences. In this paper, we provide an elementary proof that uses only basic properties of matrix multiplication and Vandermonde determinants.     

关于集群系统中无线信道数的确定

准确估算集群系统所需无线信道数是工程设计中的一个重要的关键环节。本文从讨论系统业务、系统话务量出发,提出了一种正确使用爱尔兰—B公式(或巴姆表)确定集群系统中无线信道数的新方法。继而,较为详细地定量分析了集群方式对系统话务量的影响。最后,针对实际工程设计,推荐了一个集群系统容量计算的经验公式。     

基于ＥＥＭＤ域统计模型的话音激活检测算法

提出了一种基于EEMD域统计模型的话音激活检测算法。算法首先利用总体平均经验模态分解(Ensemble empirical mode decomposition,EEMD)对带噪语音进行分解,得到信号的本征模式函数(Intrinsicmode function,IMF)分量,选择与原信号的相关性最高的两个分量相加组成主分量;然后对主分量进行频域分解,引入统计模型,求出EEMD域特征参数;最后利用噪声与语音的EEMD域特征参数的不同来进行语音激活检测。实验结果表明,在不同信噪比情况下,本文算法性能优于目前常用的VAD算法,特别在噪声强度大时体现出明显的优势。     

Dependence tree structure estimation via copula

We propose an approach for dependence tree structure learning via copula. A nonparametric algorithm for copula estimation is presented. Then a Chow-Liu like method based on dependence measure via copula is proposed to estimate maximum spanning bivariate copula associated with bivariate dependence relations. The main advantage of the approach is that learning with empirical copula focuses on dependence relations among random variables, without the need to know the properties of individual variables as well as without the requirement to specify parametric family of entire underlying distribution for individual variables. Experiments on two real-application data sets show the effectiveness of the proposed method.     

The highly inappropriate calibrations of statistical significance.

Comments that an article had used the term "highly significant" to describe an empirical result. The author considers such a modifier to statistical significance is entirely inappropriate on 2 counts. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

A Heuristic Approach to the Discovery of Macro-Operators

This paper describes a heuristic approach to the discovery of useful macro-operators (macros) in problem solving. The approach has been implemented in a program, MACLEARN, that has three parts: macro-proposer, static filter, and dynamic filter. Learning occurs during problem solving, so that performance improves in the course of a single problem trial. Primitive operators and macros are both represented within a uniform representational framework that is closed under composition. This means that new macros can be defined in terms of others, which leads to a definitional hierarchy. The representation also supports the transfer of macros to related problems. MACLEARN is embedded in a supporting system that carries out best-first search. Experiments in macro learning were conducted for two classes of problems: peg solitaire (generalized Hi-Q puzzle), and tile sliding (generalized Fifteen puzzle). The results indicate that MACLEARN'S filtering heuristics all improve search performance, sometimes dramatically. When the system was given practice on simpler training problems, it learned a set of macros that led to successful solutions of several much harder problems.