DSOCC：面向区分服务的拥塞控制

在区分服务(DiffServ)中使用确保转发(AssuredForwarding)进行TCP传输,存在带宽分配不公平问题。已有的工作没有综合考虑订购带宽、报文大小、RTT(RoundTripTime)对TCP性能的影响。为了解决TCP在DiffServ中的公平性问题,提出了面向区分服务的拥塞控制算法DSOCC(DiffServ OrientedCongestionControl)。通过模拟验证了该算法的有效性。     

载荷分布对六自由度运动平台动力学性能的影响

用Newton-Euler方法,分析了运动平台的力矢和力矩,建立了统一的六自由度运动平台动力学方程。利用该方程研究了不同载荷分布时六自由度运动平台各液压缸的受力情况,并用Matlab进行了计算。结果表明,不同载荷分布时,某些液压缸的驱动力的最大值成倍增加,变化极为复杂,为六自由度运动平台的设计及控制提供了理论指导。     

双站无源定位最佳配置分析

为了提高双站无源定位精度,在全局坐标系下分析了双站纯方位定位系统的最佳配置形式。首先研究了最小GDOP(Geometric Dilution of Precision)意义下的方位角约束关系及最优夹角,得到双站的最佳配置形式是目标与两传感器间呈一确定夹角的等腰三角形;在此基础上,讨论了夹角对GDOP的影响进而提出有效定位区域的概念,指出只有当目标位于该区域内时双站才能获得较好的定位精度。仿真结果验证了上述关于最佳配置形式及有效定位区域的分析,指出该结论可以应用到基于传感器管理的多站无源定位算法中。     

基于效费比的武器目标分配

有效武器目标分配(WTA)是防空阵地的核心。分析了目标毁伤收益、武器损伤关键战术指标因素,提出基于效费比的WTA评价标准,建立了针对多目标的WTA模型,并研究了用遗传算法求解模型的方法。该遗传算法通过设计一种武器目标分配的染色体编码,利用最优保存策略选择运算、均匀交叉运算、非均匀变异运算来求解。仿真结果验证了模型的合理性和算法的有效性。     

飞行器点火爆炸通用测量装置的设计

针对飞行器试验用点火器的通用测量装置,提出了一种柱形爆炸容器的设计方法,从容器壁厚、反射超压、应用材料、容器结构以及点火器爆炸当量等方面进行考虑,计算柱形爆炸容器的压力瞬间载荷,并利用COSMOS Works软件进行应力仿真,最后通过实际飞行试验环节进行验证,回收采集系统所记录的试验数据并间接分析出点火器的工作状态,结果表明:试验结果和理论分析完全吻合,容器设计合理,从而为飞行器研制试验用点火器驱动动力装置提供必要的数据参考和支撑。     

Interval uncertain optimization for damping fluctuation of asegmented electromagnetic buffer under intensive impact load

Aiming at the problems of demagnetization effect of electromagnetic buffer (EMB) caused by high ve-locity under intensive impact load and the difficulty and error of machining composite thin-walled long tube, a segmented EMB is proposed. The inner tube and air-gap are divided into initial segments and the traversing segments. Through theoretical analysis, impact test and simulation, it can be found that the RRF curve has two peaks. Firstly, in order to reduce the resultant resistance force (RRF) peaks, the sensitivity analysis based on optimal Latin hypercube design (OLHD) and polynomial regression was performed. The results show that the smallest contribution ratio to the dynamic response is the seventh and ninth segments of the inner tube, which are less than 1％. Then, fully considering the uncertain factors, important parameters are selected for uncertain optimization after sensitivity analysis. The in-terval order and interval probability degree methods are used to establish interval uncertain optimiza-tion model of the RRF considering robustness. The model was solved using an interval nested optimization method based on radial basis function (RBF) neural network. Finally, the Pareto front is obtained and numerical simulation is performed to verify the optimal value. It indicates that the two kinds of RRF peak is obviously reduced, and the optimization object and strategy are effective.     

A critical look at the U.S. deceased‐donor organ procurement and utilization system

The U.S. system for procuring and utilizing deceased‐donor organs for transplantation has been studied and written about in many articles. The purpose of this paper is to examine the interactions between the elements that comprise this system, and point out improvement opportunities that may be affected through operations research/management techniques. The authors demonstrate the need for developing data‐driven and analytic tools. In fact, data is used to generate hypotheses and support claims throughout the paper. The paper also points out the need to fully leverage data that is available to researchers, and to seek data that is currently not deposited in a centralized archive.     

一座小型建筑空调动态负荷的ANN预测研究

人工神经网络(Artificial Neural Network,简称ANN)是一种崭新非线性建模和预测方法,具有良好的非线性品质和极高的拟合精度。在前人研究的基础上,针对一座小型建筑物建立了其空调动态负荷预测的BP模型。为克服常规BP训练算法的缺陷,提出了一种改进的遗传搜索算法,结果证明是一种高效实用的算法。     

Responses of HFR-LWC beams under close-range blast loadings accompanying membrane action

The load-carrying capacities and failure patterns of reinforced concrete components can be significantly changed by membrane effects. However, limited work has been carried out to investigate the blast resistance of Hybrid Fiber Reinforced Lightweight Aggregate Concrete (HFR-LWC) members accompanying membrane action. This paper presents a theoretical approach to quantitatively depicting the membrane behavior and its contribution on the behavior of HFR-LWC beams under close-range blast loadings, and the suitability of the proposed model is validated by a series of field tests. An improved Single-Degree-of-Freedom (SDOF) model was employed to describe the dynamic responses of beam-like members under blast loadings accompanying membrane action, where the mass-load coefficient is determined according to the nonuniformly distributed load induced by close-range explosion, and the membrane action is characterized by an in-plane (longitudinal) force and a resisting moment. The elasto-plastic and recovery responses of HFR-LWC beams under the combined action of blast load and membrane force were analyzed by the promoted model. A specially built end-constrain clamp was developed to provide membrane action for the beam member when they are subjected to blast load simultaneously. It is demonstrated that the analytical displacement-time histories are in good agreement with experimental results before peak deflections and that the improved SDOF model is an acceptable tool for predicting the behavior of HFR-LWC beams under blast loadings accompanying membrane action.     

Spatial pricing and product allocation in online retailing

Spatial pricing means a retailer price discriminates its customers based on their geographic locations. In this article, we study how an online retailer should jointly allocate multiple products and facilitate spatial price discrimination to maximize profits. When deciding between a centralized product allocation ((i.e., different products are allocated to the same fulfillment center) and decentralized product allocation (ie, different products are allocated to different fulfillment centers), the retailer faces the tradeoff between shipment pooling (ie, shipping multiple products in one package), and demand localization (ie, stocking products to satisfy local demand) based on its understanding of customers' product valuations. In our basic model, we consider two widely used spatial pricing policies: free on board (FOB) pricing that charges each customer the exact amount of shipping cost, and uniform delivered (UD) pricing that provides free shipping. We propose a stylized model and find that centralized product allocation is preferred when demand localization effect is relatively low or shipment pooling benefit is relatively high under both spatial pricing policies. Moreover, centralized product allocation is more preferred under the FOB pricing which encourages the purchase of virtual bundles of multiple products. Furthermore, we respectively extend the UD and FOB pricing policies to flat rate shipping (ie, the firm charges a constant shipping fee for each purchase), and linear rate shipping (ie, the firm sets the shipping fee as a fixed proportion of firm's actual fulfillment costs). While similar observations from the basic model still hold, we find the firm can improve its profit by sharing the fulfillment cost with its customers via the flat rate or linear rate shipping fee structure.