瓶颈指派问题的一种多项式时间算法

本文对瓶颈指派问题给出了一种新的算法,该算法不需要利用最大流算法,而类似于解经典指派问题的匈牙利算法。该算法是一个多项式时间算法,其复杂性为Ｏ（ｎ３）     

22 nm全耗尽型绝缘体上硅器件单粒子瞬态效应的敏感区域

基于3D-TCAD模拟,研究了22 nm全耗尽型绝缘体上硅(fully depleted silicon-on-insulator,FDSOI)器件单粒子瞬态(single-event transient,SET)效应的敏感性区域。对比了使用单管和使用反相器来研究器件SET敏感性区域的方法,从而分析实际电路中重离子轰击位置对22 nm FDSOI器件SET敏感性的影响,并从电荷收集机制的角度进行了解释。深入分析发现寄生双极放大效应对重粒子轰击位置敏感是造成器件不同区域SET敏感性不同的原因。而单管漏极接恒压源造成漏极敏感性增强是导致单管与反相器中器件SET敏感区域不同的原因。修正了FDSOI工艺下器件SET敏感性区域的研究方法,与单管相比,采用反相器进行仿真,结果更符合实际情况,这将为器件SET加固提供理论指导。     

Inventory financing under Risk-Adjusted-Return-On-Capital criterion

Risk-Adjusted-Return-On-Capital (RAROC) is a loan-pricing criterion under which a bank sets the loan term such that a certain rate of return is achieved on the regulatory capital required by the Basel regulation. Some banks calculate the amount of regulatory capital for each loan under the standardized approach (“standardized banks,” the regulatory capital is proportional to the loan amount), and others under the internal rating-based (IRB) approach (“IRB banks,” the regulatory capital is related to the Value-at-Risk of the loan). This article examines the impact of the RAROC criterion on the bank's loan-pricing decision and the retailer's inventory decision. We find that among the loan terms that satisfy the bank's RAROC criterion, the one that benefits the retailer the most requires the bank to specify an inventory advance rate in addition to the interest rate. Under this loan term, the retailer's inventory level is more sensitive to his asset level when facing an IRB bank compared to a standardized bank. An IRB (standardized) loan leads to higher profit and inventory level for retailers with high (low) asset. For retailers with medium asset, an IRB loan results in a higher retailer profit but a lower consumer welfare. Calibrated numerical study reveals that the benefit of choosing standardized banks (relative to IRB banks) can be as high as 30% for industries with severe capital constraints, volatile demands, and low profit margins, highlighting the importance for retailers to carefully choose the type of banks to borrow from. When the interest rate is capped by regulation, retailers borrowing from a standardized bank are more likely to be influenced by the interest rate cap than those borrowing from an IRB bank. Under strong empire-building incentives (the bank will offer loan terms to maximize the size of the loan), retailers with medium initial asset level shift their preference from IRB banks to standardized banks.     

Robust TDOA/FDOA estimation from emitter signals for hybrid localization using UAVs

This paper considers the time difference of arrival (TDOA) and frequency difference of arrival (FDOA)estimation problem for joint localization using unmanned aerial vehicles (UAVs),involving range migration (RM) and Doppler ambiguity within observation interval.A robust estimation method based on interpolation and resampling is proposed.Specifically,the interpolation artificially increases the pulse repetition frequency (PRF).After that,the resampling eliminates the coupling between range frequency and slow time.Finally,a coherent integration step based on inverse discrete Fourier transform (IDFT) is used to achieve parameter estimation and suppress the grating lobes caused by interpolation.The proposed method could be efficiently implemented by fast Fourier transform (FFF),inverse FFT (IFFF) and non-uniform FFT (NUFFT) without parameter searching procedures.Numerical experiments indicate that the proposed method has nearly optimal anti-noise performance but much lower computational complexity than the maximum likelihood estimator,which makes it more competitive in practical applications.     

离散Hopfield网络的航空装备机务人员能力素质模型评价

随着航空装备的不断更新,带来了航空维修内容、流程和模式的深刻变化。航空机务人员的业务能力高低成为影响航空装备安全的重要因素,为此,从静态、动态两个方面研究了航空机务人员能力评价问题。首先给出了航空机务人员能力指标体系,运用模糊综合评价法进行了影响因素权重计算和决策分析,其次利用离散Hopfield(DHNN)网络联想记忆能力,将5种机务人员能力等级指标的样本存储到DHNN的5种模式,最后运用DHNN在存储的典型等级模式中寻找与给定测试样本最相似的模式,从而确定测试样本所归属的能力指标等级。     

结合DSmT理论和系统建模的知识融合算法

目前国内外常用的一种知识融合算法是DS证据理论,但这种方法受到单一故障假设的条件限制,应用范围受限。所以,提出了一种使用DSmT混合组合规则与系统建模方法的全新的知识融合算法,这样即解决了DS理论的单一故障假设的限制,又避免了自由DSmT只适用于不考虑排斥性约束和非存在性约束的条件限制,使得算法的应用范围更广。     

大型舰艇箔条质心干扰防御反舰导弹仿真

箔条质心干扰是大型舰艇防御反舰导弹的重要手段。基于干扰机理分析,建立了以箔条云、舰艇切割效应模型为核心的干扰仿真模型,并利用仿真实例验证了该模型的正确性和合理性。在此基础上,通过典型场景下的仿真分析,揭示了大型舰艇箔条质心干扰运用的特殊性,为大型舰艇箔条质心干扰效果评估和运用方法研究提供模型支撑和定量依据。     

大数据时代方法理论研究初探

当前对于大数据时代的到来并无太大争议。但是,对于大数据方法理论的研究,仍处于起步阶段。作为重“利”轻“理”的商业领域,主要任务是从大数据价值挖掘中获利。虽然有人从商业创新、思维创新、科技创新和社会透明等角度,阐述了对大数据问题的认识,但并未将认识上升到一般研究的方法理论层面。这就出现了一种矛盾——虽然提出了“大数据时代”,但是并未给这个时代提供普遍意义上的大数据研究方法理论。     

月尘环境材料带电地面模拟试验系统研究

介绍月尘的特点及月尘静电对航天活动的危害,根据月尘环境下材料带电的原理,构建真空环境材料带电地面模拟试验系统.利用装置进行模拟静电月尘对探月航天器的作用,研究月尘静电对登月探测器的静电起电、吸附、耦合及放电效应影响规律,从而初步解决我国在探月工程上月球探测器对月球表面静电防护技术的需求.     

驱动线圈极性排列方式对多级同步感应线圈发射器加速性能的影响

为提高多级同步感应线圈发射器的加速性能,以5级同步感应线圈发射器为例,在定义驱动线圈极性相对排列方式的基础上,基于场-路耦合的时步有限元分析方法,研究了驱动线圈极性排列方式对其加速性能的影响,结果表明:驱动线圈同极性相对排列方式更有助于提高发射效率。通过分析内部磁场的分布规律,探讨了驱动线圈同极性相对排列方式改善加速性能的原因,最后通过比较电枢内的感应电流密度的方法验证了分析的正确性。