Ukrainian and Belorussian dimensions of Turkmenistan foreign policy: small states in a multipolar world

As the USA continues to decline both in relative and absolute terms, the global order emerges where no center of power exists. This creates a complicated and instable geopolitical situation where small states could act behind the back of the great powers. The relationship between Turkmenistan and Ukraine is the example of this sort of relationship. Whereas Ukraine wants to get cheap gas, Turkmenistan wants to find the way to sell its gas to the West. It looks as though both countries pay little attention to Russian objection and act without direct help from either the USA or other great powers.     

Signature based analysis of m‐Consecutive‐k‐out‐of‐n: F systems with exchangeable components

In this article, we study reliability properties of m‐consecutive‐k‐out‐of‐n: F systems with exchangeable components. We deduce exact formulae and recurrence relations for the signature of the system. Closed form expressions for the survival function and the lifetime distribution as a mixture of the distribution of order statistics are established as well. These representations facilitate the computation of several reliability characteristics of the system for a given exchangeable joint distribution or survival function. Finally, we provide signature‐based stochastic ordering results for the system's lifetime and investigate the IFR preservation property under the formulation of m‐consecutive‐k‐out‐of‐n: F systems. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

基于维纳过程金属化膜电容器的剩余寿命预测

金属化膜电容器是惯性约束聚变激光装置能源系统最重要的元器件,对个体电容器的剩余寿命进行有效的预测对整个装置的可靠性水平有着重要的影响.为有效地预测个体电容器的剩余寿命,提出了融合单个电容器性能退化数据与先验性能退化数据信息的预测方法.采用Wiener过程对其性能退化过程进行建模,并根据先验退化数据信息构造参数的先验分布...     

核独立分量分析的随机滤波剩余寿命预测模型

基于随机滤波的预测模型是剩余寿命预测方法的一个重要分支,当前制约滤波模型的一个重要问题就是如何对大量高维非线性状态监测数据进行特征降维,以易于模型参数求解.通过线性回归处理了非定期换油保养对油液数据的影响;运用核独立分量分析进行特征降维,消除了各维数据之间相关性对模型预测精度的影响;建立了基于油液增量的滤波模型,并设计了极大似然估计方法求解模型参数;最后实例验证了模型的有效性和实用性.     

空气/煤油/水燃气发生器点火特性试验研究

燃气发生器是超燃冲压发动机地面试验系统中的关键设备,为提高系统安全性和经济性设计了空气/煤油/水燃气发生器,在富燃状态下进行了一系列点火试验,试验结果表明：该型燃气发生器,实现可靠点火的余氧系数下限为0.51;水的加入使得化学反应速率和火焰传播速度降低,燃气发生器点火和火焰稳定困难,提高余氧系数可以提高点火可靠性。同时水的加入容易引起燃烧不稳定,通过提高余氧系数可消除低频不稳定燃烧。     

Terrorism,insurgency, kidnapping,and security in Africa's energy sector

Energy continues to serve as the bedrock of modern economies and the main driver of modern society. For Africa, the production and supply of energy resources such as crude oil, natural gas, uranium, coal, biomass, biofuels and other renewables are an important source of employment, rents, taxes, royalties and profits. This sector brings in several tens of billions of dollars of revenue annually. The production and delivery of such resources, however, depend on critical infrastructures such as pipelines, refineries, processing plants, terminals, rigs, electrical energy pylons, substations, pump stations, vessels, and tankers. These infrastructures have been attacked by terrorists, insurgents, vandals and saboteurs, all of whom see them as targets against which to register their grievances and extract concessions from the state. This paper is a chronological account of some of the documented incidents of terrorism, insurgency, kidnapping, destruction, sabotage, and human casualties suffered in the oil and gas sectors in Africa between 1999 and 2012. It is based on data extracted from the databases of the RAND Database of World Terrorism Incidents and the University of Maryland's Global Terrorism Database (GTD).     

利用多时间尺度卷积的视频行为识别网络

基于2D的行为识别网络通常融合多张视频帧的分类结果识别不同的行为,但其在卷积过程中缺少对时空特征提取。针对该问题,基于时间位移模块(temporal shift module,TSM)的思想设计了一组多时间尺度卷积,包含不同设计的卷积核以提取融合不同时间尺度的时空信息。通过控制多时间尺度卷积嵌入ResNet50网络的位置及其模块的参数设置,寻找最优的基于多时间尺度卷积的行为识别网络。使用PyTorch深度学习框架训练模型,在大型开源数据集Something-Somethingv2上进行了实验研究。结果表明,基于多时间尺度卷积的行为识别网络对行为识别准确率达到了59.47%,优于TSM等网络。     

New maximum entropy methods for modeling lifetime distributions

This article introduces two new maximum entropy (ME) methods for modeling the distribution of time to an event. One method is within the classical ME framework and provides characterizations of change point models such as the piecewise exponential distribution. The second method uses the entropy of the equilibrium distribution (ED) for the objective function and provides new characterizations of the exponential, Weibull, Pareto, and uniform distributions. With the same moment constraints, the classical ME and the maximum ED entropy algorithms generate different models for the interarrival time. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 427–434, 2014     

Boltzmann 方程求解方法综述

本文论述了Ｂｏｌｔｚｍａｎｎ方程的求解方法，在分析了各类求解方法的优缺点之后指出目前Ｍｏｎｔｅ－Ｃａｒｌｏ直接模拟方法是解决稀薄气体动力学问题的最佳方法。     

逸出气体检测的程序升温气相色谱法

建立了一种利用程序升温气相色谱仪的逸出气体检测(EGD)系统,用于测量液薄膜、固薄膜、纤维,粉末等材料中微量的热挥发及(或)挥发性热分解组分。这类微量用常规热分析法(如热重法(TG)、微商热重(DTG)及差热分析(DTA)等)一般难以测出。用该法测量的GuSO_4·5H_2O粉末样品、端羟基聚丁二烯(HTPB)及邻苯二甲酸二丁酯(DBP)薄膜样品逸出气的EGD数据同TG-DTG-DTA联用技术所得结果作了比较。还用该系统检测了硼酸(槽浴)阳极氧化铝箔、碳纤维、碳化硅纤维的逸出气体。阐述了本法的优点及具体步骤。