战争制胜机理何以发生变化

信息化战争已经登上了当今世界的舞台,这是军事领域发生的革命性变化。在信息化战争条件下,传统的战争制胜机理发生的新的变化。     

未来数字化战场中的指挥控制语言研究

针对未来数字化战场中机器人部队指挥控制与协同作战这一新兴研究领域需解决的机-机协同和人-机智能融合等问题,综述国内外相关领域的研究现状,分析了构建我军指挥控制语言的必要性,研究了机器人部队指挥控制语言的技术架构与关键技术,并提出了指挥控制语言的一种形式化语法和语义标注方法和通信协议,并结合海军舰艇作战示例分析了指挥控制语言的可行性及有效性。     

部队网络信息管理规律及策略研究

网络信息管理是新形势下部队管理工作的一项重要内容,对于促进官兵全面发展、加强部队行政管理、提升信息化建设具有重要意义,加强部队网络信息管理必须遵循共享与防范相结合、标本兼治和网络信息技术与官兵素质同步提高规律,从组织领导、官兵思想、安全防护、制度落实和网管人员建设五个方面构筑部队网络信息管理有效策略.     

Impact of reseller's and sales agent's forecasting accuracy in a multilayer supply chain

We consider a three‐layer supply chain with a manufacturer, a reseller, and a sales agent. The demand is stochastically determined by the random market condition and the sales agent's private effort level. Although the manufacturer is uninformed about the market condition, the reseller and the sales agent conduct demand forecasting and generate private demand signals. Under this framework with two levels of adverse selection intertwined with moral hazard, we study the impact of the reseller's and the sales agent's forecasting accuracy on the profitability of each member. We show that the manufacturer's profitability is convex on the reseller's forecasting accuracy. From the manufacturer's perspective, typically improving the reseller's accuracy is detrimental when the accuracy is low but is beneficial when it is high. We identify the concrete interrelation among the manufacturer‐optimal reseller's accuracy, the volatility of the market condition, and the sales agent's accuracy. Finally, the manufacturer's interest may be aligned with the reseller's when only the reseller can choose her accuracy; this alignment is never possible when both downstream players have the discretion to choose their accuracy. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 207–222, 2014     

基于星历辅助的导航星座星间链路捕获初始信息求解算法

针对星间链路信号动态范围大、捕获时间要求短之间的矛盾,提出了一种捕获初始信息的求解算法。该算法基于导航星座的星历资源和动态特性,采用迭代的方法对信号传输时延和多普勒频率进行估计。分析指出,该算法实现过程简单,收敛速度快,估计精度高,两次迭代即可实现时延估计精度达到纳秒级,大大降低了捕获实现的难度和复杂度,适合星上资源要求比较严格的场合。分析基于北斗导航星座模型展开,对我国北斗导航星间链路的设计提供了参考。     

具有不完全信息语言多指标电子对抗计划优选方法

针对指标权重信息不完全且指标值为语言评价信息的电子对抗行动计划优选问题,给出了一种新的决策分析方法。首先建立并规范化了电子对抗行动计划的评价指标;其次给出了计划的优选步骤,其核心是通过计算理想点与计划值的距离、建立线性规划模型,确定指标权重;将语言评价信息转化为三角模糊数,相应地建立可能度,进而获得计划的综合评价值。最后通过算例分析说明了该方法的合理性和有效性。     

EUROPEAN DEFENCE FIRMS: THE INFORMATION BARRIER ON PRIVATE FINANCE*

After the fall of the Berlin Wall, European governments adopted a hands‐off policy towards the defence industrial base, in an attempt to increase the sector’s efficiency and reactivity. In this context, one topical issue is how to motivate defence firms to apply for private rather than public finance. Since banks have no prior experience with European defence firms, a problem of asymmetric information may block this transition. The problem is analysed within the framework of a game between defence firms and banks. It is shown that the Bayesian Equilibrium might correspond to a situation where low‐risk firms prefer the state‐financed scheme; yet, in a perfect information set‐up, the same firms would apply for bank credit. In order to facilitate the transition to private finance, the government might decide to subsidize investors who agree on financing defence firms; the state aid should be made available during a transitory learning period.     

基于多传感器信息系统的仿人机器人步态规划算法改进研究

摘要：基于视觉传感器、角度传感器和力／力矩传感器组成的多传感器信息系统,对仿人机器人理想的步态规划算法进行了改进．以双目视觉立体标定原理处理视觉传感信息,从而判断目标距离及目标路径的可达性;通过角度传感器获取实时旋转角度,经参数调整减小执行误差;根据力／;5矩传感信息对支撑脚踝关节的侧摆角度进行增量式补偿．经实验验证,改进后的算法对机器人的步态稳定性控制具有良好的效果．     

面向信息整合的军用数据中心研究

针对未来多样化军事任务对数据服务需求,在充分研究军用数据异构、分散存储、服务方式多样等现状的基础上,分析了数据应用的能力需求,提出了面向信息整合的军用数据中心技术架构与组成,阐述了该架构的特点以及关键技术,很好地解决了现有数据服务存在的问题,为未来军用数据工程建设奠定基础。     

Should competing firms reveal their capacity?

In this article, we explore when firms have an incentive to hide (or reveal) their capacity information. We consider two firms that aim to maximize profits over time and face limited capacity. One or both of the firms have private information on their own capacity levels, and they update their beliefs about their rival's capacity based on their observation of the other firm's output. We focus on credible revelation mechanisms—a firm may signal its capacity through overproduction, compared to its myopic production levels. We characterize conditions when high‐capacity firms may have the incentive and capability to signal their capacity levels by overproduction. We show that prior beliefs about capacity play a crucial, and surprisingly complex, role on whether the firm would prefer to reveal its capacity or not. A surprising result is that, despite the fact that it may be best for the high‐capacity firm to overproduce to reveal its capacity when capacity information is private, it may end up with more profits than if all capacity information were public knowledge in the first place. © 2013 Wiley Periodicals, Inc. Naval Research Logistics, 2013