脉状矿的矿产储量最优计算

本文利用改进的三维克里金法对脉状矿进行储量计算,给出一个有效的储量与品位分布计算程序。文中提出网格法理论处理矿体边界和断层问题,采用圆锥法计算脉状矿的半变异函数等办法,为提高估算精度和加快计算速度起到了很好的作用。     

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.     

Coping with shortages caused by disruptive events in automobile supply chains

Unpredictable disruptive events significantly increase the difficulty of the management of automobile supply chains. In this paper, we propose an automobile production planning problem with component chips substitution in a finite planning horizon. The shortage of one chip can be compensated by another chip of the same type with a higher-end feature at an additional cost. Therefore, the automobile manufacturer can divert the on-hand inventory of chips to product lines that are more profitable in the event of shortages caused by supply chain disruptions. To cope with this, we propose a max-min robust optimization model that captures the uncertain supplies of chips. We show that the robust model has a mixed-integer programming equivalence that can be solved by a commercial IP solver directly. We compare the max-min robust model with the corresponding deterministic and two-stage stochastic models for the same problem through extensive numerical experiments. The computational results show that the max-min robust model outperforms the other two models in terms of the average and worst-case profits.     

支持工人能力模糊度量和角色协同的软件众包任务分配

现有众包任务分配研究缺乏考虑对工人能力不确定性的度量,也未从众包平台的角度实现任务和工人间多对多模式下的协同分配。由此,提出支持工人能力模糊度量和角色协同的软件众包任务分配方法。该方法结合工人的历史表现和任务的需求期望,以模糊区间数评估工人的多属性能力匹配度,使用模糊层次分析法计算工人的综合胜任能力。引入基于角色协同理论,将多对多型任务分配建模为涉及一组任务与相关工人的组合优化问题,综合考虑任务权重、工人数量、潜在冲突等约束,以提高任务分配的效率和成功率,并给出一种基于CPLEX的问题求解方法。仿真实验结果表明,在确保获得全局任务集最佳完成质量的前提下,该方法能高效准确实现多对多模式下的任务分配。     

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.     

外军实战化心理训练探析

文章研究,近年来发生的几场高技术局部战争,无论是武器装备的硬杀伤还是心理战的软杀伤,都给参战人员造成了沉重的心理负担。未来战争对军人的心理素质提出了更高的要求,心理训练的地位和作用也更加突出。为此,世界各国军队加大了心理训练的研究力度,纷纷以实战化为主要指导,进行基地化、模拟化、综合化心理训练。     

倾斜微型桩桩身参数敏感性有限元分析

基于有限元强度折减法,结合工程实例,利用软件ANSYS对不同倾角微型桩加固边坡以及倾斜微型桩的设桩位置、锚固深度和桩排距等桩身参数对边坡稳定性的影响进行了数值模拟分析。结果表明:微型桩加固边坡较优的倾斜角度为60°;随着设桩位置离坡顶距离的增加,边坡的稳定系数先增大后减小,当设桩位置距坡顶的相对位置为0.58~0.66,边坡的稳定系数较高;当桩排距为9倍桩径,边坡的稳定系数较高。研究结果为倾斜微型桩的设计与工程应用提供了理论依据,具有一定的普遍意义。     

排液槽对折板捕雾器性能影响数值模拟

为研究气液分离器内使用的折板式捕雾器的流场特性及排液槽对其性能的影响,利用流体动力学计算软件Fluent,采用Low-Re Stress-Omega模型和DPM两相流模型,对捕雾器气液两相流流场进行了数值模拟。通过对比安装排液槽前后捕雾器内流场,分析了排液槽对捕雾器流场速度、液滴运动轨迹的影响;发现排液槽能大幅提高捕雾器的除雾效率,10μm以上液滴基本能够全部去除,但是也会使除雾器压降急剧增大。最后研究了排液槽主要结构参数——折弯直径和长度对捕雾器性能的影响,发现增大排液槽折弯直径和长度均能增加除雾效率,但同时也会增大进出口压降。     

受限空间雾化射流降温与加湿作用数值分析

以雾化射流预防、控制受限空间内油气热安全事故为工程背景,综合可压缩流场控制方程、k-ε湍流模型、粒子动力学模型与相变传热模型,构建了描述受限空间内雾化射流降温与加湿作用的数值分析模型。借助Fluent流体动力学仿真软件,以1 600 mm×200 mm二维狭长受限空间中不同工况的雾化射流为算例,对雾化射流降温与加湿过程进行了数值模拟,并探讨了雾化射流流量与粒径的不同对上述作用的影响。所得结果为进一步探究雾化射流降温与加湿行为,推进雾化射流在热安全防护领域的工程应用提供借鉴和参考。     

10W/40高温重负荷润滑油在柴油发动机上的试验

为更好地研究高原地区车辆发动机与油料的适应性,针对高原地区特殊的地理环境气候特点,选用10W/40高温重负荷润滑油,对其进行了理化性能分析、350 h台架可靠性试验及高原实际行车试验。结果表明:该型润滑油具有优良的抗氧抗腐性、清净分散性和抗磨性,可满足高原地区大功率、重负荷柴油发动机的用油要求。