着眼装备信息化的长远发展积极科学的建设好装备基础数据库

信息化战争是信息化武器装备发展到成熟时期、新军事变革发展到高级阶段、社会变革跨入信息时代的最新战争模式。信息化战争离不开信息化的装备，装备信息化的建设也离不开装备管理的信息化，装备管理信息化的水平对装备信息化本身的发展会起到很重要的促进作用，装备基础数据库则是装备管理信息化的基础。本文将重点分析装备基础数据库建设的现状，阐述科学建设装备基础数据库的好处，并提出对建设通用装备基础数据库的几点思考。     

Value management of diagnostic equipment with cancelation,no‐show,and emergency patients

Magnetic resonance imaging and other multifunctional diagnostic facilities, which are considered as scarce resources of hospitals, typically provide services to patients with different medical needs. This article examines the admission policies during the appointment management of such facilities. We consider two categories of patients: regular patients who are scheduled in advance through an appointment system and emergency patients with randomly generated demands during the workday that must be served as soon as possible. According to the actual medical needs of patients, regular patients are segmented into multiple classes with different cancelation rates, no‐show probabilities, unit value contributions, and average service times. Management makes admission decisions on whether or not to accept a service request from a regular patient during the booking horizon to improve the overall value that could be generated during the workday. The decisions should be made by considering the cancelation and no‐show behavior of booked patients as well as the emergency patients that would have to be served because any overtime service would lead to higher costs. We studied the optimal admission decision using a continuous‐time discrete‐state dynamic programming model. Identifying an optimal policy for this discrete model is analytically intractable and numerically inefficient because the state is multidimensional and infinite. We propose to study a deterministic counterpart of the problem (i.e., the fluid control problem) and to develop a time‐based fluid policy that is shown to be asymptotically optimal for large‐scale problems. Furthermore, we propose to adopt a mixed fluid policy that is developed based on the information obtained from the fluid control problem. Numerical experiments demonstrate that this improved policy works effectively for small‐scale problems. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 287–304, 2016     

直接序列扩频通信抗干扰性能分析

简述了直接序列扩频通信基本原理,讨论了直接序列扩频通信的特点,对直接序列扩频通信系统的抗干扰能力进行研究,最后提出了几种用于提高该通信系统抗干扰能力的具体方法。     

抗日战争配合了盟军作战

抗日战争时期,中国远征军应邀入缅,在滇缅战场上英勇作战,配合盟军沉重抗击了日本侵略军,形成了有利的战略态势,为反法西斯战争的最后胜利奠定了坚实的基础,并作出了巨大的贡献。     

辅助通道参数模型估计射电天文抗干扰方法

针对单通道射电天文抗干扰方法在观测数据干噪比较低情况下的干扰消除性能降低甚至失效的问题,通过引入辅助天线观测提出了一种基于参数模型估计的抗干扰方法。该方法利用辅助天线所接收到的具有较高干噪比的观测数据建立干扰信号参数的估计模型,同时通过构建主辅通道参数差异性模型对估计模型进行修正,实现对干扰信号参数的精确估计,达到消除干扰信号的目的。仿真实验表明,相比于单通道方法,改进后的方法在解决低干噪比条件下的射电天文抗干扰问题方面具有更广泛的适用范围。     

碳纤维混凝土抗冻性能试验研究

为了增强高昼夜温差地区营房屋面和墙体的抗裂性能,提高营房安全性、舒适性及使用寿命,利用快速冻融法对碳纤维混凝土进行了300次冻融循环试验,并测量其相对动弹性模量和质量损失情况。结果显示:普通混凝土在150次冻融循环试验后试件破坏严重,平均质量损失了0.695 kg,损失率为6.9%;碳纤维混凝土在300次冻融循环试验后外形仍保持较好的完整性,平均质量损失了0.514 kg,损失率为5.19%,相对动弹性模量最多下降了34%,其中体积分数为1%的碳纤维混凝土平均质量损失仅为0.398 kg,损失率为4.05%,相对动弹性模量下降了31%。试验表明碳纤维可以改善混凝土的抗冻性能,适用于高昼夜温差地区建筑。     

信息化条件下战斗精神培育需要关注的几个问题

信息化条件下的未来战争 ,必须注重官兵个体战斗精神的培育 ;必须大力培育科学精神 ,用科学的态度 ,分析作战的特点和规律 ,讲科学讲智谋 ;必须充分发挥人脑的作用 ,提高自身的作战能力 ,超常发挥智能潜能。     

Study of high-speed-impact-induced conoidal fracture of Ti alloy layer in composite armor plate composed of Ti-and Al-alloy layers

In order to understand the mechanism of conoidal fracture damage caused by a high-speed fragment-simulating projectile in titanium alloy layer of a composite armor plate composed of titanium- and aluminum-alloy layers, the ballistic interaction process was successfully simulated based on the Tuler-Butcher and GISSMO coupling failure model. The simulated conoidal fracture morphology was in good agreement with the three-dimensional industrial-computed-tomography image. Further, three main damage zones (zones I, II, and III) were identified besides the crater area, which are located respectively near the crater area, at the back of the target plate, and directly below the crater area. Under the high-speed-impact conditions, in zone II, cracks began to form at the end of the period of crack formation in zone I, but crack formation in zone III started before the end of crack formation in zone II. Further, the damage mechanism differed for different stress states. The microcracks in zone I were formed both by void connection and shear deformation. In the formation of zone I, the stress triaxiality ranged from-2.0 to-1.0, and the shear failure mechanism played a dominant role. The microcracks in zone II showed the combined features of shear deformation and void connection, and during the for-mation process, the stress triaxiality was between 0 and 0.5 with a mixed failure mode. Further, the microcracks in zone III showed obvious characteristics of void connection caused by local melting. During the zone III formation, the triaxiality was 1.0-1.9, and the ductile fracture mechanism was dominant, which also reflects the phenomenon of spallation.     

Numerical simulation study on penetration performance of depleted Uranium (DU) alloy fragments

Due to its high strength, high density, high hardness and good penetration capabilities, Depleted ura-nium alloys have already shined in armor-piercing projectiles. There should also be a lot of room for improvement in the application of fragment killing elements. Therefore, regarding the performance of the depleted uranium alloy to penetrate the target plate, further investigation is needed to analyze its advantages and disadvantages compared to tungsten alloy. To study the difference in penetration per-formance between depleted uranium alloy and tungsten alloy fragments,firstly, a theoretical analysis of the adiabatic shear sensitivity of DU and tungsten alloys was given from the perspective of material constitutive model. Then, taking the cylindrical fragment penetration target as the research object, the penetration process and velocity characteristics of the steel target plates penetrated by DU alloy frag-ment and tungsten alloy fragment were compared and analyzed, by using finite element software ANSYS/LS-DYNA and Lagrange algorithm. Lastly, the influence of different postures when impacting target and different fragment shapes on the penetration results is carried out in the research. The results show that in the penetration process of the DU and tungsten alloy fragments, the self-sharpening properties of the DU alloy can make the fragment head sharper and the penetrating ability enhance. Under the same conditions, the penetration capability of cylindrical fragment impacting target in vertical posture is better than that in horizontal posture, and the penetration capability of the spherical fragment is slightly better than that of cylindrical fragment.     

An adaptive forecasting algorithm and inventory policy for products with short life cycles

Products with short life cycles are becoming increasingly common in many industries, such as the personal computer (PC) and mobile phone industries. Traditional forecasting methods and inventory policies can be inappropriate for forecasting demand and managing inventory for a product with a short life cycle because they usually do not take into account the characteristics of the product life cycle. This can result in inaccurate forecasts, high inventory cost, and low service levels. Besides, many forecasting methods require a significant demand history, which is available only after the product has been sold for some time. In this paper, we present an adaptive forecasting algorithm with two characteristics. First, it uses structural knowledge on the product life cycle to model the demand. Second, it combines knowledge on the demand that is available prior to the launch of the product with actual demand data that become available after the introduction of the product to generate and update demand forecasts. Based on the forecasting algorithm, we develop an optimal inventory policy. Since the optimal inventory policy is computationally expensive, we propose three heuristics and show in a numerical study that one of the heuristics generates near‐optimal solutions. The evaluation of our approach is based on demand data from a leading PC manufacturer in the United States, where the forecasting algorithm has been implemented. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004.