Progressive filling partitioning and mapping algorithm for Spark based on allocation fitness degree

The job execution mechanism of Spark was analyzed,task efficiency model and Shuffle model were established,then allocation fitness degree (AFD) was defined and the optimization goal was put forward.On the basis of the model definition,the progressive filling partitioning and mapping algorithm (PFPM) was proposed.PFPM established the data distribution scheme adapting Reducers’ computing ability to decrease synchronous latency during Shuffle process and increase cluster the computing efficiency.The experiments demonstrate that PFPM could improve the rationality of workload distribution in Shuffle and optimize the execution efficiency of Spark.     

P-Zone： Connectivity-based Packet Path Tracing in Wireless Sensor Networks

In large-scale Wireless sensor networks （WSNs）, the network status is complex and unpredictable, which brings great challenges to practical network design and management. Tracing the route path of each data packet in the network is an important way to observe network behaviors and understand network dynamics. However, tracing the full route path of each packet could be highly challenging, due to the hard resource con- straint in WSNs. Our previous work proposes a hash-based path tracing mechanism, and leverages network connectivity and node locations to reduce the computational complexity. However, the node locations may be unavailable in some scenarios. In this work, we further propose a location-free enhancement to the hash-based path tracing mechanism, called P-Zone. P-Zone requires only network connectivity information to reduce the computational complexity. Theoretical analysis and practical simulations are conducted to evaluate the effectiveness and performance of our design. The results indicate that P-Zone can significantly reduce the computational complexity of the hashbased path tracing mechanism, while effectively tracing the full route path of each packet in the network in a real-time manner, and outperforms the state-of-the-art methods.     

基于循环前缀的LTE系统多普勒频偏估计算法

针对时变瑞利信道给出一种用于LTE系统中的多普勒频偏估计方法。基于OFDM符号固有的循环前缀,利用相位的变化,可以较快较准确地估计多普勒频移。另外,还提出相位估计长度概念,并得到一种减小误差的误差修正方法,使得算法估计更准确,处理复杂度更低。     

基于LabVIEW的智能开关综合保护装置的数据获取与处理

在目前的工业控制领域,高压开关已经运用得非常广泛。由于配电线路出现故障的原因是多种多样的,所以迫切需要对高压开关进行智能控制。一旦发现故障,就能及时处理,把事故的损失降到最小。LabVIEW美国NI公司的虚拟仪器软件,应用它设计一个智能开关综合保护装置系统是非常方便的。系统实时监测电网的工作状态,当电网在不同的工作状态时智能开关综合保护装置要做出相应的反应。对连接在电网和高压配电器之间的高压开关进行合理的控制。     

低温感包覆火药装药的内弹道势平衡理论模拟

为了进一步研究低温感包覆火药装药的内弹道特征及其内弹道数值计算方法,运用内弹道势平衡理论,对制式装药和低温感包覆火药装药的势平衡点参数进行了比较。分析了低温感包覆火药装药势平衡点处燃去火药相对量ψE随装填密度变化的原因,并拟合了低温感包覆火药装药的实际燃气生成函数。在此基础上利用势平衡方程对内弹道过程进行了数值模拟。结果表明,计算曲线与实验曲线基本一致,应用内弹道势平衡理论描述低温感包覆火药装药的膛内燃烧规律可行。     

弹载相控阵雷达视线重构研究

针对弹载相控阵惯性视线重构问题,提出了基于相对运动状态估计的视线角/角速率重构方法,与传统方法相比,文中提出的方法在稳定坐标系下建立导弹-目标运动状态动力学模型和雷达导引头观测模型,无需对导引头测量的角信息使用微分网络,避免了测量噪声的放大。在分析系统可观测性的基础上,采用UKF滤波算法进行状态估计,根据估计值重构视线角速率。仿真结果表明,该方法对机动目标的重构角误差<0.5°,角速率误差<3°/s。     

小尺寸LLM-105的重结晶控制方法研究

采用溶剂-非溶剂重结晶法研究了影响LLM-105晶体形貌和粒度大小的因素及影响觃律,选取浓硫酸为溶剂、水为反溶剂,采用反加法研究了溶剂反溶剂体积比、结晶温度、搅拌速度等主要因素对结晶形貌和粒度的影响。结果表明,在搅拌速度500r·min-1、溶剂非溶剂体积比2:15、结晶温度65℃的条件下,重结晶得到的LLM-105晶体形貌觃则,棱角圆滑,长径比在1~1.5之间,粒度均匀,粒度分布在1~10μm之间,平均粒径D50为4.48μm;放热峰温352.9℃,较原料提高了7.2℃,热安定性更好;机械感度降低,撞击感度和摩擦感度分别下降了80%和59%。     

知识定义的意图网络自治

通信网络的复杂性决定了意图网络自治是无法一蹴而就的,关键在于以全局视角,打通多个网络管控问题域,将网络规律、机理、策略凝练为知识,构建全场景资源调配的知识空间,最终实现意图网络的泛在智能化。围绕6G意图网络,将知识定义智能作为关键使能技术,以提高意图网络的感知和决策闭环能力,构建自学习、自运维的意图网络。实现完全的6G网络自治是一个长期目标,需要分步实现,从提供重复执行操作的替代方案,到执行网络环境和网络设备状态的感知和监控,根据多种因素和策略做出决策,以及有效感知最终用户体验,直到最后网络能够感知运营商和用户的意图,自我优化和演进。     

浅议网络宽带交换技术的演进

介绍电信网络融合发展的背景和电信网络的发展趋势 ,分析通信网络中交换部分的几种主要技术 ,如 :ATM、IP、MPLS等 ,阐述网络发展中的新技术 ,如 :光交换、MPλS、GMPLS ,着重展示网络演进过程中ATM和IP的融合及其发展方向。     

Study on Modeling and Control Strategy for Electric Drive Motor of Tracked Vehicles

Aimed at the requirements for electric transmission system of a military tracked vehicle, the motor’s design indexes were analysed and calculated. A model based on saturate inductance parameter of interior permanent magnet (IPM) synchronous motor was brought forward by using finite element analysis. And its control strategy based on the largest running capability was studied also. The experiment results for a scale model show that the modelling method improves the model’s accuracy, and the motor’s control strategy is effective.