Mathematical formulation and heuristic algorithm for the block relocation and loading problem

This study considers the block relocation and loading problem in container terminals. The optimal loading sequence and relocation location are simultaneously decided on the basis of the desired ship‐bay and initial yard space configuration. An integer linear programming model is developed to minimize the number of relocations in the yard space on the basis of no shifts in the ship bay. The accuracy of the model is tested on small‐scale scenarios by using CPLEX. Considering the problem size in the real world, we present a rule‐based heuristic method that is combined with a mathematical model for the removal, loading, and relocation operations. The influence of rules on algorithm performance is also analyzed, and the heuristic algorithm is compared with different types of algorithms in the literature. The extensive numerical experiments show the efficiency of the proposed heuristic algorithm.     

Revenue management under randomly evolving economic conditions

We consider a dynamic pricing model in which the instantaneous rate of the demand arrival process is dependent on not only the current price charged by the concerned firm, but also the present state of the world. While reflecting the current economic condition, the state evolves in a Markovian fashion. This model represents the real‐life situation in which the sales season is relatively long compared to the fast pace at which the outside environment changes. We establish the value of being better informed on the state of the world. When reasonable monotonicity conditions are met, we show that better present economic conditions will lead to higher prices. Our computational study is partially calibrated with real data. It demonstrates that the benefit of heeding varying economic conditions is on par with the value of embracing randomness in the demand process. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 66:73–89,2019     

电子战环境下组网雷达检测性能分析与仿真

运用分布式检测中的最小错误概率准则分析了组网雷达对目标的检测性能,将雷达受干扰的程度分为无干扰、局部干扰和全部干扰,并研究不同干扰强度下组网雷达数据融合中心对目标的检测概率.最后,就不同干扰强度对组网雷达的影响以及数据融合中心与单站雷达之间检测性能作比较分析,得出了一些有意义的结论.     

数字化坦克营作战能力灰色聚类评估

评估数字化坦克营的作战能力对推动数字化装甲部队建设、提高部队战斗力具有一定的现实意义。以灰色系统理论为基础,将层次分析法和灰色评估法相结合,建立了数字化坦克营的灰色聚类评估模型,论述了利用该模型进行评估的基本步骤,结合实例对数字化坦克营作战能力进行了聚类评估,提出了提高数字化坦克营作战能力的方法。评估结果比较符合实际情况,证明了该模型的正确性。     

A new appointment rule for a single-server,multiple-customer service system

This paper proposes a new appointment rule for the single-server, multiple-customer service system. Unlike previous appointment rules, which perform well only in specific service environments, the new rule can be parameterized to perform well in different service environments. The new appointment rule is presented as a mathematical function of four environmental parameters, namely, the coefficient of variation of the service time, the percentage of customers' no-shows, the number of appointments per service session, and the cost ratio between the server's idle and customers' waiting cost per unit time. Once the values of these environmental parameters are estimated, the new appointment rule can be parameterized to perform well. The results show that new rule performs either as well as or better than existing appointment rules in a wide range of service environments. © 1998 John Wiley & Sons, Inc. Naval Research Logistics 45: 313–326, 1998     

坦克分队开进方案灰色优选模型分析及应用

开进方案的优选对开进成功与否至关重要。运用多目标决策分析原理,依据开进目的确立了到达指定地点的时间准确程度和我平均战斗损失率两个指标,从地形状态、我方和敌方的角度分析了开进方案的影响因素集,运用灰色关联度法建立了坦克分队开进方案灰色优选模型,达到了对方案进行排序和优选的目的,为指挥员实施开进行动的科学决策提供辅助依据。     

基于Focal Loss的多特征融合地物小目标检测

针对无人机影像中地物车辆目标占整体像素不超过0.4％的小目标检测效果差的问题,在融合FPN结构的Faster R-CNN(FFRCNN)网络基础上,提出一种改进算法——FM-FFRCNN.利用Resnet-50网络进行特征提取,并联多个卷积核进行卷积操作实现多特征融合,达到扩大感受野的效果,并通过检测模块进行回归与分类...     

模拟油罐油气混合物爆炸实验与数值仿真研究

对模拟油罐内油气混合物爆炸冲击波特性进行了研究.在直径为1 m的模拟油罐中进行了油气混合物爆炸模拟实验,建立了模拟油罐油气混合物爆炸的数值仿真模型,并借助大型商业软件Fluent6.2完成了数值仿真研究.数值仿真结果与实验值较为吻合.模拟实验和数值仿真研究的结果表明:油气体积分数、罐内初始温度等决定模拟油罐油气混合物爆炸压力的大小.油罐内爆炸压力波的振荡特性对金属油罐结构来说是有害的.     

加强军队政治工作信息安全保障体系建设

政治工作信息安全保障体系是发挥政治工作直接作战功能、打赢信息化战争的重要保证。增强政治工作信息系统的防护能力,要建立政治工作信息安全技术保障体系、行政管理体系、法规制度体系和人才培养体系。     

面向RISC-V内核的标记指令复算与纠错机制的设计

由宇宙辐射等环境因素引起的硬件瞬时故障会极大降低计算机系统的可靠性。为了减小硬件瞬时故障对系统可靠性的影响,保证程序的正确运行,基于RISC-V开源内核“蜂鸟e203”提出一种标记指令复算与纠错机制。该机制为指令码额外增加了复算标记,以较小的硬件开销实现对指定指令的复算操作。此外,该机制可以在第一次复算结果与初始运算结果不等时自动进行二次复算,并由三次运算结果的多数表决结果来纠正大部分硬件瞬时故障所引起的数据流异常。实验表明,通过与中断处理程序相结合,在随机注入瞬时故障的情况下,程序的正确执行概率平均增加了86.67%。