利用振动信号诊断发动机气门间隙异常故障

提出了利用气缸盖表面振动信号诊断发动机配气机构气门间隙异常故障的方法,分析了气缸盖表面振动响应与气门机构状态的关系。通过实验和计算,从气缸盖表面的振动信号得到气门间隙异常状态的信息。在此基础上,提出了一种简单有效的时域分析诊断方法。     

高空滑移条件对化学非平衡粘性流动的影响

本文用数值方法计算了不同高度滑移边界条件对钝体绕流流场特性的影响。采用化学非平衡粘性激波层控制方程,边界条件含壁面滑移、激波滑移和无滑移条件。计算结果表明,考虑滑移条件后,激波层较厚,激波处的电子数密度为一有限值。文中给出了计算结果,并与其它文献的结果作了比较。     

高电流密度激光加速器

用计算机模拟了电子在高斯激光场,纵向磁场、电子束流电磁场三种场作用下的运动。讨论影响电子被加速的因素。     

CN-1型野营电热采暖自动控制系统研究

为解决部队在寒区野外训练的采暖问题,使用新型涂料进行辐射采暖。由于涂料电阻受温度影响较大,不能采用常规的方法进行控制,同时野外采暖对节能要求也非常突出,为达到节能和温度控制的目的,采用A/D对电流和电压进行采样,然后利用单片机计算出当前的功率,根据功率的设定值和实际值的差值来作为对涂料电压调整的依据,最后通过可控硅进行调节,从而达到功率控制和节能的目的。通过寒区试验,该控制方式能够很好地满足部队野外训练采暖的需要。     

数据并行程序设计语言中分布数组的地址计算

本文讨论了在大规模并行计算机上实现数据并行程序设计语言的关键问题──分布数组的地址计算问题。文中详细给出了维分布数组的下标地址计算公式,分布数组的内情向量结构以及分布数组映射函数算法,并对有关编译实现技术进行了探讨。     

营造有利于征用民营企业物力资源的环境

本文叙述了信息化条件下的国防动员，对民营企业物力资源的征用将是一项必不可少的内容。因此，有必要在完善优惠政策、健全军品准入措施、构建征用补偿制度三个方面营造有利于征用民营企业物力资源的环境。     

On efficiency of multistage channel with bargaining over wholesale prices

This article considers a multistage channel with deterministic price‐sensitive demand. Two systems for pricing decisions, that is, the bargaining system and the leader‐follower system, are compared. We characterize the necessary and sufficient conditions on the power structure, under which the solution of the bargaining system Pareto dominates that of the leader‐follower system. Also, under such conditions, we give a tight upper bound of channel efficiency of the bargaining system, which converges to 100% channel efficiency as the number of stages increases to infinity. © 2016 Wiley Periodicals, Inc. Naval Research Logistics 63: 449–459, 2016     

一种融入运动特性的显著性特征提取方法

针对复杂背景下图像序列中运动目标的跟踪前检测问题,提出一种融入运动特性的显著性特征提取方法,该方法综合目标的灰度、细节和运动等形成稳健的显著性特征,并得到一组显著性特征提取图.在这组图像中,具有这种多特征的区域得到加强,其他区域受到抑制,从而能够轻松地检测出可引起人类视觉注意的运动目标.由于该算法中的显著性特征来源于目标的多种底层特性,因此该算法具有很强的稳健性.实验证明,这种方法具有较强的稳定性和实用性,抗干扰能力强.从视觉效果的角度出发,能够较大地提高运动目标在复杂背景中的信杂比.     

Optimal production ramp-up in the smartphone manufacturing industry

Motivated by challenges in the smartphone manufacturing industry, we develop a dynamic production ramp-up model that can be applied to economically satisfy nonstationary demand for short-life-cycle products by high-tech companies. Due to shorter life cycles and more rapid evolution of smartphones, production ramp-up has been increasingly critical to the success of a new smartphone. In the production ramp-up, the key challenge is to match the increasing capacity to nonstationary demand. The high-tech smartphone manufacturers are urged to jointly consider the effect of increasing capacity and decreasing demand. We study the production planning problem using a high-dimensional Markov decision process (MDP) model to characterize the production ramp-up. To address the curse of dimensionality, we refine Monte Carlo tree search (MCTS) algorithm and theoretically analyze its convergence and computational complexity. In a real case study, we find that the MDP model achieves revenue improvement by stopping producing the existing product earlier than the benchmark policy. In synthetic instances, we validate that the proposed MCTS algorithm saves computation time without loss of solution quality compared with traditional value iteration algorithm. As part of the Lenovo production solution, our MDP model enables high-tech smartphone manufacturers to better plan the production ramp-up.