谈自给式呼吸器的选用

论述了自给式呼吸器在灾害事故抢险救援中的重要性,分析了三种自给式呼吸器的使用特点和使用注意事项,介绍了三种常用的自给式呼吸器防护时间的确定方法,以及在实际救援作业中合理选用呼吸器应考虑的事项。     

系统延迟对脱靶量的影响研究

Paul Zarchan在研究一类由二项式传递函数描述的制导律的脱靶量时,提出了一个命题,即这一类制导律的脱靶量随制导时间的变化曲线可由时间常数为1时的那条脱靶量曲线经过时间轴的比例变换得到。证明了这一命题,并将它扩展到系统中存在纯延迟的情况,得到的结果可以很方便地用于研究系统延迟对脱靶量的影响。     

一种基于LMS的时域相干累积算法研究

为了克服低信噪比条件下传统的自适应滤波算法抑制高斯噪声效果差的缺点,提出了基于最小均方(LMS)的时域相干累积新算法。计算机仿真结果表明,该算法具有良好的抑制高斯噪声的性能,对于低信噪比下信号的增强效果明显优于传统的自适应滤波算法。     

反导作战信息流时延模型研究

在现代防空反导作战中,战术弹道导弹的威胁,给防空系统带来了预警时间不足等一些新的问题。为了提高防空系统的反导预警能力,在对反导作战过程和反导预警作战过程进行分析的基础之上,对反导预警信息流程进行了研究。提出了一种边处理-边分发的实时模式,通过对比分析,所提模型缩短了预警信息的传输时间,使作战部队提前预警。     

演化硬件中变异概率对进化算法首次命中时间的影响

在(1+1)EAs中,采用马尔可夫链推移时间分析法,推导出了平均首次命中时间的表达式。从理论上分析了变异概率对平均首次命中时间的影响。结果表明适当的变异概率会缩短平均首次命中时间,加快进化算法的寻优时间。     

正反向量子斯特林循环有限时间热力学性能界限和优化准则

研究了正反向量子斯特林循环的最优性能.在经典极限下,导出了循环的有限时间热力学性能界限和优化准则.得到了斯特林热机、制冷机和热泵特性参数之间的优化关系.     

Callable products for an implicit time model with dependent demands

Capacity providers such as airlines and hotels have traditionally increased revenues by practicing market segmentation and revenue management, enabling them to sell the same capacity pool to different consumers at different prices. Callable products can enhance profits and improve consumers' welfare by allowing the firm to broker capacity between consumers with different willingness to pay. A consumer who buys a callable product gives the capacity provider the right to recall capacity at a prespecified recall price. This article studies callable products in the context of the model most commonly used in industry, which handles time implicitly imposing fewer restrictions on the nature of randomness compared to the Poisson arrival process favored in academia. In the implicit time model, capacity providers set booking limits to protect capacity for future high-fare demand. Our numerical study identifies conditions where callable products result in significant gains in profits.     

Choosing arrival process models for service systems: Tests of a nonhomogeneous Poisson process

Service systems such as call centers and hospital emergency rooms typically have strongly time‐varying arrival rates. Thus, a nonhomogeneous Poisson process (NHPP) is a natural model for the arrival process in a queueing model for performance analysis. Nevertheless, it is important to perform statistical tests with service system data to confirm that an NHPP is actually appropriate, as emphasized by Brown et al. [8]. They suggested a specific statistical test based on the Kolmogorov–Smirnov (KS) statistic after exploiting the conditional‐uniform (CU) property to transform the NHPP into a sequence of i.i.d. random variables uniformly distributed on [0,1] and then performing a logarithmic transformation of the data. We investigate why it is important to perform the final data transformation and consider what form it should take. We conduct extensive simulation experiments to study the power of these alternative statistical tests. We conclude that the general approach of Brown et al. [8] is excellent, but that an alternative data transformation proposed by Lewis [22], drawing upon Durbin [10], produces a test of an NHPP test with consistently greater power. We also conclude that the KS test after the CU transformation, without any additional data transformation, tends to be best to test against alternative hypotheses that primarily differ from an NHPP only through stochastic and time dependence. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 66–90, 2014     

基于CP CI总线的时统模块测量电路设计

为解决时统模块的测试问题,提出了一种基于CPCI总线的数字时统模块测量电路。重点对测量电路的组成、测量原理、CPCI总线接口设计与驱动设计等内容进行了介绍。提出的测量电路满足了4块某型时统模块的批量测试需求。该测量电路具有稳定性高、性价比高、易于实现等优点,适合于工程应用。