浅议军事需求分析的规律和原则

军事需求分析有其自身活动的规律和原则,文章对军事需求分析的主要规律和原则进行了分析和总结,为从事军事需求分析的技术人员提供指导。     

PAAD-16酸液稠化剂的合成与性能

以二甲氨基丙基甲基丙烯酰胺和溴代十六烷为原料,丙酮为溶剂,合成了一种疏水单体——二甲基十六烷基(2-甲基丙烯酰胺基丙基)溴化铵(DHAB),并以DHAB、2-甲基-2-丙烯酰胺基丙磺酸(AMPS)和丙烯酰胺(AM)为单体,以自由基水溶液聚合法合成了一种疏水缔合聚合物P(AM-AMPS-DHAB)(PAAD-16),用IR、荧光光谱(FL)和SEM对其进行了结构表征。结果表明:PAAD-16的酸溶时间约为90 min;以该疏水缔合聚合物为主要添加剂配制而成的稠化酸在30℃、170s~(–1)下的表观黏度为59m Pa×s,在60、90℃下的热稳定性(ω)分别为85.0%和66.1%,在该条件下连续剪切120 min后剪切稳定性(ω')为81.4%,具有良好的增黏性、耐温抗剪切性和缓速性能。     

能效优先的用户关联与功率控制协同优化机制

在异构蜂窝网络中,针对系统的能效,提出了一种基于效用函数最大化模型的用户关联与功率控制协同优化方案,该方案表示为非线性混合整数问题。为了求得该问题的最优解,设计了一种迭代算法,首先将原问题转换为带参数的多项式形式的问题,在外层循环利用Dinkelbach方法求得最佳的能效因子,然后在内层循环分别求得最佳的用户关联矩阵和传输功率。最终实验结果表明,用户关联与功率控制协同的优化方案在能效和负载平衡方面比固定功率条件下的用户关联策略的性能更优。     

基于文献计量的国际河流栖息地研究动态

河流栖息地是水域生态系统的重要组成部分,以Web of Science论文数据库为数据源,利用TDA等工具对2015-2017年国际河流栖息地研究进行文献计量分析。结果表明:该领域研究方向涉及环境科学与生态学、海洋与淡水生物学等多个学科;美国的发文量最高,中国居于第2位;"保护"、"河流"、"鱼类"和"气候变化"是热点关键词;当前河流栖息地研究动态集中于风险评估与生态修复、水生生物群落、外来生物入侵、栖息地的地貌变化等方面。     

NON-CUBIC EQUATION OF STATE FOR PHASE EQUILIBRIUM CALCULATIONS

A new non-cubic equation of state is proposed for calculation of the thermodynamic properties ofnonpolar and polar fluids and their mixtures,including,saturated vapor pressure,saturated liquid volume,saturated vapor volume,heats of vaporization and vapor-liquid equilibria.The new equation is derived from thegeneralized van der Waals partition function in which the repulsive terms are expressed with the Carnahan andStarling equation for hard spheres,and the attractive terms are made up of the dispersive energy and theChemical association energy. The rules of dependence of parameters α and σ and on temperature are considered broadly so that the newequation yields good agreement with experimental saturated properties of 20 nonpolar and 27 polar fluids in therange of reduced temperatures of 0.5 to 1.0 The new equation with parameters group-contributed generally givessatisfactory predictions on saturated properties. Correlations of vapor-liquid equilibrium data for alcohol-containing systems by using van d     

Reliability analysis of a repairable duplex system

We analyse the survival time of a repairable duplex system characterised by cold standby and by a pre-emptive priority rule. We allow general probability distributions for failure and repair. Moreover, an important realistic feature of the system is the general assumption that the non-priority unit has a memory. This combination of features has not been analysed in the previous literature. Our (new) methodology is based on a concatenation of a Cauchy-type integral representation of the modified Heaviside unit-step function and a two-sided stochastic inequality. Finally, we introduce a security interval related to a security level and a suitable risk-criterion based on the survival function of the system. As a practical application, we analyse some particular cases of the survival function jointly with the security interval corresponding to a security level of 90.     

A New Derivation of the Cubature Kalman Filters

This paper investigates the cubature Kalman filtering (CKF) for nonlinear dynamic systems. This third‐degree rule based filter employs a spherical‐radial cubature rule to numerically compute the integrals encountered in nonlinear filtering problems, thereby removing the requirements of explicitly computing the Jacobians. The cubature rule, however, requires computing the intractable integrals over a high‐dimensional spherical region for multidimensional applications. Moreover, the cubature formula that has been used to construct the spherical cubature formula has some demerits, most notably its inconvenient properties in computation and low estimation accuracy. Aimed at these issues, a general class of CKFs that uses only cubature rules is derived in this paper. It can be shown that the conventional CKF is a special case of the proposed algorithm. The paper also includes higher‐degree CKFs, especially two representative types of the fifth‐degree CKFs. Performance of the proposed algorithms is demonstrated via two target tracking problems. The experimental results, presented herein, illustrate the superior performance of higher‐degree CKFs to conventional nonlinear filters.     

基于情感计算的商品评论分析系统

针对电子商务中的商品评论信息过载问题,运用情感计算理论,通过挖掘商品评论信息中的商品特征及相应的情感褒贬态度,为消费者提供一个商品特征粒度上的情感分析结果,从而帮助消费者从庞杂的商品评论中快速获取有效信息。系统首先采集指定商品的评论集并挖掘商品特征,然后结合情感语料库和词汇相似度计算,利用依存关系找到特征-极性词对以及程度副词和否定词。基于以上结果,考虑程度副词的强度,以及程度副词和否定词共现语序不同造成的语义差异,提出了商品评论情感倾向程度的计算方式。最后,进行系统实现并验证算法的有效性。实验结果表明,系统具有良好的应用效果。     

一种基于D-S 和ARIMA 的多模型软测量方法

针对传统软测量方法存在的预测性能差、融合能力低等缺点, 提出一种基于证据理论(D-S) 合成规则和差分自回归滑动平均(ARIMA) 模型的多模型软测量方法. 首先利用自适应模糊核聚类方法和最小二乘支持向量机建立多个子模型; 然后利用D-S 合成规则构造的概率分配函数作为权值因子, 对子模型输出进行融合以得到多模型的输出; 最后结合ARIMA 模型对静态多模型输出进行动态校正. 仿真研究与工业应用的结果表明, 所提出的方法具有良好的预测性能和融合能力.

     

基于灰熵关联分析的流水车间多目标调度优化及算法实现

求解流水车间多目标调度优化问题及算法适应度值分配问题, 结合灰色关联度分析方法及信息熵理论提出灰熵关联度适应值分配策略, 利用灰关联系数结合熵值权重计算适应度值, 以灰熵关联度值引导启发式算法进化. 将该方法应用到差分算法及遗传算法中解决三目标流水车间调度问题. 实验表明: 灰熵关联度适应值分配策略能够解决该问题, 可以得到分布均匀的Pareto 前端; 同时, 基于此策略的差分算法得到的解好于遗传算法的解.