Transactional and in-store display data of a large supermarket for data-driven decision-making

This article describes daily and monthly transactional and in-store display data of a large supermarket from January to October in 2019 associated with 28 757 stock-keeping units (SKUs) in 5 categories and 41 subcategories. The database contains five parts, including information about each SKU, in-store display, daily sales, inventory, and replenishment. We also propose some research questions related to assortment planning, pricing, inventory management, and customer behavior. Researchers are welcome to develop data-driven models or other innovative methods to address these questions or other practical problems using this database.     

Flow computations past a triangular boattailed projectile

This paper presents a computational study of the air flow past a triangular boattailed projectile. The study shows that there is a single normal shock wave impinges the projectile at transonic speeds. At supersonic speeds, the formed shock waves are smeared compared to a conical boattailed projectile. Also, there is a reduction of the wake region behind the triangular base and the rear stagnation point is nearer to the projectile base resulting in base drag reduction. Moreover, there is an improvement of the stability of the triangular boattailed projectile since a lower overturning moment is incurred.     

近地卫星Ka频段数传链路抗雨衰自适应模式设计

针对近地卫星数传时的信道时变性和严重的Ka频段雨衰现象,采用自适应编码调制(Adaptive Coding and Modulation, ACM)技术能够充分利用链路资源,相对于传统的固定编码调制方式,进一步提高链路的数据吞吐量。提出近地卫星Ka频段数传链路ACM模式设计方法,在降雨环境下建立Ka频段数传链路模型,根据链路预算的信道状况确定ACM选用模式;采用基于导频符号的最大似然信噪比估计算法结合移动平均的平滑方法实现信道估计,有效地减小了估计值的波动。仿真结果表明,无论晴天还是雨天,采用提出的卫星数传链路ACM模式设计方法,能够在保证系统可靠性的同时获取较高的数据吞吐量。     

面向大规模容器集群的网络控制技术

针对容器技术在网络层面缺乏控制的问题,设计一套面向大规模容器集群的网络控制架构,分别从容器集群网络的灵活组网、智能适配以及安全隔离三个方向进行研究,主要解决大规模容器集群部署中的网络适配和隔离控制等关键问题。实验结果表明,设计的网络控制架构可以根据网络特点有针对性地实现虚拟局域网的快速划分、网络节点的稳定迁移和节点通信的精确隔离控制。     

深度置信网络在导弹攻击区分类中的应用

针对传统导弹攻击区解算方法忽略双方态势变化等问题,提出运用深度置信网络的导弹攻击区分类模型。根据导弹命中情况与目标机动间的关系,将导弹攻击区划分为五类。通过分析影响导弹攻击结果的态势参数,构建导弹攻击结果预测模型。在实验部分,结合重构误差和测试错误率确定深度置信网络的网络结构,通过逐层提取数据法分析模型参数特征并且讨论微调数据的采样方式。使用反向传播神经网络和支持向量机进行分类有效性对比实验。实验结果表明：深度置信网络运行速度和预测准确度明显优于其他两种方法,满足实时性和准确性要求,所提方法具有良好的应用价值。     

Server scheduling on parallel dedicated machines with fixed job sequences

We consider server scheduling on parallel dedicated machines to minimize the makespan. Each job has a loading operation and a processing operation. The loading operation requires a server that serves all the jobs. Each machine has a given set of jobs to process, and the processing sequence is known and fixed. We design a polynomial‐time algorithm to solve the two‐machine case of the problem. When the number of machines is arbitrary, the problem becomes strongly NP‐hard even if all the jobs have the same processing length or all the loading operations require a unit time. We design two heuristic algorithms to treat the case where all the loading times are unit and analyze their performance.     

战场数据融合仿真系统设计与实现

介绍了一种战场数据融合仿真系统的设计与实现方法。该系统由场景设定、信号产生、融合跟踪处理、目标识别、态势与威胁估计与数据库支持等功能子系统组成,模拟了数据融合的整个信息处理流程,包括:主动探测雷达、雷达侦察设备、通信侦察设备和敌我识别器获取敌我目标观测信息、利用多传感器跟踪数据对目标进行融合跟踪、提取辐射源电磁信息特征对敌方目标识别,进而形成态势与威胁估计。最终在Visual C#开发平台上利用MapX和ORACLE开发了战场数据融合仿真系统,并成功应用于实际系统中,取得了较好的效果。     

Newsvendor bounds and heuristics for serial supply chains with regular and expedited shipping

We study an infinite‐horizon, N‐stage, serial production/inventory system with two transportation modes between stages: regular shipping and expedited shipping. The optimal inventory policy for this system is a top–down echelon base‐stock policy, which can be computed through minimizing 2N nested convex functions recursively (Lawson and Porteus, Oper Res 48 (2000), 878–893). In this article, we first present some structural properties and comparative statics for the parameters of the optimal inventory policies, we then derive simple, newsvendor‐type lower and upper bounds for the optimal control parameters. These results are used to develop near optimal heuristic solutions for the echelon base‐stock policies. Numerical studies show that the heuristic performs well. © 2009 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

结合峰值检测的高噪声图像快速聚类分割方法

针对高噪声污染图像,提出一种结合峰值检测算法的快速聚类分割方法(FC-ImSeg)。根据平行线投影分割算法将二维直方图映射到一维空间,利用峰值检测算法检测图像像素点的聚类结果,调整映射模型的平行线宽度,使直方图符合双峰分布特性,最后利用加权模糊c均值聚类算法实现图像的分割。实验结果证明了该方法是快速有效的。     

软件无失效测试数据的统计分析

软件可靠性估计是软件可靠性研究的重要问题之一,文中对分布式软件系统可靠性的评估方法进行了研究,给出了软件系统可靠度的最优置信下限.最后以某大型软件的评估为例,说明该方法的应用.