规避汇率风险的两把利剑

套期保值和人民币跨境贸易结算可以帮助企业有效打造规避汇率风险的避风港。虽然落下帷幕的第二轮中美战略与经济对话出人意料的并没有过多的讨论人民币汇率问题,但不可否认的是,这仍旧是中美双方的一个核心问题。很多专家估计,     

基于PSO-LBG算法的最优码本设计

矢量量化（VQ）是一种极其重要的信号压缩方法，广泛地应用于图像信号压缩、语音信号压缩领域。它I的主要问题是码本设计，在码本设计过程中，有许多算法被提出。本文提出了PSO和LBG算法相结合的1PSO—LBG算法采设计码本，改善了码本质量，提高了收敛速度。     

改进蚁群优化算法的最优物流配送路径设计

针对传统蚁群优化算法难以找到全局最优的物流配送路径,物流配送的时效性差等缺陷,为获得理想的物流配送路径,提出基于改进蚁群优化算法的最优物流配送路径设计方法。首先,对物流配送路径优化设计问题进行分析,建立物流配送路径优化模型;然后,将蚁群置于物流配送的起始点,通过搜索下一节点、信息激素更新等模拟自然界蚁群寻食机制,找到从起始点到配送目标点的最优物流配送路径,并对传统蚁群优化算法的不足进行相应的改进;最后,通过具体实例分析改进蚁群优化算法应用于最优物流配送路径设计中的有效性。改进蚁群优化算法可以在短时间内成功找到最优物流配送路径,物流配送时间要少于其他物流配送路径设计方法,能够为提高物流企业的经济效益提供有价值的参考信息。     

基于Faster R-CNN算法的自主空中加油锥套识别

随着无人机技术的发展,自主空中加油技术增加了无人机飞行半径和有效载荷,提升了无人机的作战效能.本文针对复杂环境下无人机软管式空中加油的精确引导技术,在无人机自主空中加油近距离对接阶段过程中,对油机锥套识别这个关键环节展开研究.利用深度学习和图形处理,提出一种基于Caffe框架的Faster R-CNN神经网络深度学习的...     

基于混合最优算法的高精度数控直流电源设计

基于单片机与最优化理论,设计并制作出一种数控直流电流源。在传统电路设计的基础上,利用控制系统中反馈与控制原理,引入电流负反馈,使硬件电路工作在闭环状态;综合利用主控制器AT-mega128单片机高速处理优势及其内部资源,设计基于遗传算法和直接搜索策略的混合优化算法,并结合PID算法,形成软件闭环控制。实现对输出电流的精确控制,提高电流源输出电流的稳定度及电流源负载能力。本数控直流电流源恒流输出电流范围为10mA～4000mA可调,输出恒流调整步长1mA、10mA、100mA可选,实测电流与预置电流误差不大于1mA。本装置人机交互界面友好,工作状态和各种参数显示清晰,并可实现负载过流报警和记录故障持续时间等功能。     

基于人工智能算法的无线移动通信系统风险评价

风险评价模型是保证无线移动通信系统安全的一种重要技术,针对当前无线移动通信系统风险评价正确率低,评价耗时长等缺陷,设计基于人工智能算法的无线移动通信系统风险评价模型。首先,对无线移动通信系统风险评价的国内外研究现状进行分析,建立无线移动通信系统风险评价指标体系;然后,根据无线移动通信系统风险评价指标体系收集学习样本,并采用人工智能算法优化神经网络构建无线移动通信系统风险评价模型;最后,进行无线移动通信系统风险评价仿真对比测试。结果表明,人工智能算法的无线移动通信系统风险评价正确率超过95%,评价误差小于其他模型,而且无线移动通信系统风险评价时间明显减少,实时性能更好,具有更高的实际应用价值。     

基于混合最优算法的高精度数控直流电源设计

基于单片机与最优化理论,设计并制作出一种数控直流电流源。在传统电路设计的基础上,利用控制系统中反馈与控制原理,引入电流负反馈,使硬件电路工作在闭环状态;综合利用主控制器ATmega128单片机高速处理优势及其内部资源,设计基于遗传算法和直接搜索策略的混合优化算法,并结合PID算法,形成软件闭环控制。实现对输出电流的精确控制,提高电流源输出电流的稳定度及电流源带负载能力。本数控直流电流源恒流输出电流范围为10mA～4000mA可调,输出恒流调整步长1mA、10mA、100mA可选,实测电流与预置电流误差不大于1mA。本装置人机交互界面友好,工作状态和各种参数显示清晰,并可实现负载过流报警和记录故障持续时间等功能。     

基于P-B-P最优准则的网络检测算法

本文以有向拓扑结构的传感器网络为背景,通过分析在全局贝叶斯风险最小准则下已建立的集中式和近似分散式两种决策方法各自优势与不足,并考虑到现有的队决策方法求解决策过程中存在着局限性,结合贝叶斯公式和相关图模型理论等,建立了在P-B-P最优准则下针对此类网络的新决策方法.该方法分为在线计算和离线计算两部分,前者主要任务是基于在线测量值获得类条件概率密度;后者主要任务是如何求取用于计算阈值所需的参数,参数的计算过程分别是由正序传递似然函数消息和逆序接收代价函数消息两部分组成.同时,还分析了新方法在调节集中式和近似分散式两种决策方法的计算量和能耗之间矛盾的能力,而其优点也通过计算机仿真结果进行了验证.     

基于AI算法的VoLTE网络故障预测方法研究

使用箱线算法、OCSVM算法和三次指数平滑算法,构建出一套能准确反映网络运行特点的风险预测算法模型,深挖网络运行过程中的海量数据并结合数字化专家经验,探索"事前预测"及"事后快速定界"的维护能力构建,构建VoLTE业务网络风险的预测及防范能力,降低故障发生频率,提升用户网络使用感知。     

一种基于最优组合模型的火箭弹跟踪算法

提出一种基于最优组合模型对火箭弹运行参数进行预测,利用它对跟踪的特征点下一位置进行预测。该模型的主要特点是避免了单一预测模型仅利用部分信息而带来的不足,详细推导了算法的数学模型。仿真结果证实了该模型较单一预测方法降低了预测误差、提高了预测精度,使得跟踪算法的精度得到很大提高。     

基于空间映射及遗传算法的车载天线优化配置

车载天线间干扰十分严重,不能采用普通的电磁兼容方法进行干扰抑制,只能通过合理的天线布局优化来降低干扰.工程中多采用简单的数学模型结合测试的方法来进行车载天线布局设计,效率低又不够精确.基于矩量法的车载天线耦合的数学模型,并在此基础上结合实际装车的特点提出了车载天线布局优化的目标函数,详细讨论了如何利用空间映射算法和遗传算法实现车载天线布局的优化配置,既兼顾精度和效率,又为实际工程提供了理论上的依据.经过实际测试验证,这种方法是行之有效的.     

An exact algorithm for wirelength optimal placements in VLSI design

We present a new algorithm designed to solve floorplanning problems optimally. More precisely, the algorithm finds solutions to rectangle packing problems which globally minimize wirelength and avoid given sets of blocked regions. We present the first optimal floorplans for 3 of the 5 intensely studied MCNC block packing instances and a significantly larger industrial instance with 27 rectangles and thousands of nets. Moreover, we show how to use the algorithm to place larger instances that cannot be solved optimally in reasonable runtime.     

基于遗传算法的太阳能光伏电池板优化铺设

传统太阳能建筑中太阳能电池板的排布不够合理,既浪费空间又破坏建筑墙体。本文使用数学建模的方法对太阳能光伏电池板的优化铺设做出探讨。在探求电池板摆放规律后,通过分析建立多目标规划函数,借助完全背包问题的数学模型,运用遗传算法进行求解,得到平面内最佳的电池板排布方式,实现了光伏发电总量最大,单位发电量成本最低的双重目标。     

An iterative algorithm for optimal design of non-frequency-selective FIR digital filters

This paper proposes a novel iterative algorithm for optimal design of non-frequency-selective Finite Impulse Response （FIR） digital filters based on the windowing method. Different from the traditional optimization concept of adjusting the window or the filter order in the windowing design of an FIR digital filter, the key idea of the algorithm is minimizing the approximation error by successively modifying the design result through an iterative procedure under the condition of a fixed window length. In the iterative procedure, the known deviation of the designed frequency response in each iteration from the ideal frequency response is used as a reference for the next iteration. Because the approximation error can be specified variably, the algorithm is applicable for the design of FIR digital filters with different technical requirements in the frequency domain. A design example is employed to illustrate the efficiency of the algorithm.     

基于SRLG不相关的共享通路保护算法

网络的生存性技术是WDM光网络中的关键技术之一.在共享风险链路组(SRLG)的约束下,综合考虑了备选路由集合和波长层次的策略,提出了一种共享通路保护算法,对该算法进行了仿真研究,并对仿真结果进行了分析.     

面向价值的战场信息处理与分发优化算法

针对用户高质量决策和高效率行动对信息的需求,从战场信息链流程角度提出了面向价值的战场信息处理和分发网络框架,采用信息质量来表征用户信息需求,并通过用户信息需求满意度指数来表征通信系统所分发的信息对用户完成任务的价值.依据信息质量和用户信息需求来评估信息处理所得到信息的价值,设计面向价值的贪心调度算法进行信息分发,使网络中传输的数据是富有价值的信息流.最后通过战场目标跟踪应用场景进行仿真实验,验证了面向价值的信息分发相对于基于服务质量的分发方式,在资源利用率和用户满意度上的性能优势,尤其在带宽资源缺乏的情况下,性能优势更为显著.     

平面网络中QOS多播路由算法研究与设计

多播通信这种兼顾了广播通信与单播通信两者优点的通信模式,已经被越来越多地应用于平面网络业务之中。首先讨论了面向源节点的多播路由策略。在分析传统多播路由算法中最佳链路选择函数的基础上,提出了一个新的最佳路由模型和QMRI算法,该算法成功地解决了网络中多播节点动态变化时的QOS路由选择问题。     

Research on online review-trust model and synthetical value model based on power-law and density clustering algorithm

The existing online shopping researches on consumer reviews are mostly based on the attitude change model (ACM). Although the ACM is valuable, it is not easy to judge the trustworthiness of the reviews and measure the values of the reviews. Based on the online data acquisition technology, we have got the data of 360buy, a domestic large-scale business to customer (B2C) commerce website in China. With application of data-mining and the density clustering algorithm (DBSCAN), we focus on the intervals distribution and the synthetic value of consumer reviews. The distribution of review interval can be depicted by the power-law function which presents a monotonically increasing relationship between the power-exponent and the customers’ concerns with the commodity: the higher the exponent is, the more attention will be drawn. We also find that the value of online reviews can be measured by the expertise value, which is the attraction and the quality of the reviews. Based on the above results, we have constructed the online review-trust model and the synthetic value model. The relationship between the power-exponent and the consumer attention has played a vital role in the consumer attention to online-shopping, and then the synthetic value model will help people find out useful reviews more effectively.     

Interval optimal design of 3-D TSV stacked chips package reliability by using the genetic algorithm method

The state of the art for electronic industries tends to offer products with smaller scales, lower cost, larger storage space, multi-functionality and low-power consumption. The latest package technology has advanced towards three-dimensional (3-D) system in package (SiP) design. However, reliability of interconnects becomes an important issue due to the complicated structure induced stress sensitivity for fractures. Therefore, optimizing the design is essential to improve reliability, especially for the delicate Through-Silicon Via (TSV) which is fabricated using high density interconnect technology.A 3-D TSV stacked-chips package model is constructed by finite element analysis (FEA) to investigate the thermo-mechanical behavior for packages stressed under temperature cycle test (TCT). The global/local method with convergence analyses are jointly applied and achieved an improvement of 74.4% in simulation efficiency. The viscoplastic solder joints, and the elastoplastic behavior with isotropic hardening for copper interconnects are considered in this FEA model, in which the maximum equivalent plastic strain is found to be located at the most critical copper bump and treated as an indicator for reliability. The significant factors, such as the CTE (coefficient of thermal expansion) of silicon substrate, silicon chip and TSV copper bump, are selected by using the fractional factorial design. copper; the thickness of silicon chip and the radius of TSV The objective function is constructed from the normalized regression model according to the response surface method. The results show that the optimal design performs a significant improvement by up to 43.416% for the reduced equivalent plastic strain after genetic algorithm (GA) optimization.To cope with design for manufacturability (DfM), the interval genetic algorithm (IGA) method is introduced for exploring the optimum interval range based on the defined objective error. Finally, the sensitivity analysis is conducted for each significant factor to determine the priority of accuracy control.     

基于FCM的无监督最优模糊聚类算法

基于模糊c-均值算法的无监督最优模糊聚类算法集合了模糊c均值算法与无监督最优聚类算法的优点,它通过逐渐改变聚类数c,依据一些有效性衡量尺度,能无监督搜索出最优聚类数c.通过对距离测量尺度的改进,使聚类不受类形状的影响,以达到具备更高准确率的聚类效果.仿真实验结果表明,新算法不仅能准确找出聚类数,而且跟单纯的模糊c均值算法比,具有更好的聚类效果.