改进PSO-LSSVM算法的SDN网络流量预测模型

SDN技术解决了IP网络布设困难、更新繁琐等突出问题, 近年来发展迅速. 本文针对SDN网络流量预测问题, 提出首先采用混沌理论对时间序列样本群进行相空间重构, 随后引入最小二乘支持向量机(LSSVM)构建SDN网络流量预测模型, 并结合改进的粒子群算法(PSO)对其关键参数进行优化. 实验结果证明, 该模型有效提高了SDN网络流量预测精度与误差控制水平, 具有良好的实际应用价值.     

面向综合效益的城市充电网点规划研究

随着国家大力发展新能源汽车的政策,电动汽车和充电基础设施规模不断扩大,如何科学地规划充电网点成为亟待解决的问题。本文根据分期规划的原则,采用基于注意力机制的长短期记忆网络进行充电需求预测,使用量子粒子群优化算法进行近期充电网点选址定容,然后根据Voronoi图来划分远期充电站服务区域,从而建立了充电网点精准规划模型。通过对杭州市钱江世纪城区域进行验证,表明本文模型在科学规划充电网点的同时,能够实现电网、企业、用户的多方共赢。     

基于图约束联盟形成的社会共享乘车问题

对社会共享乘车问题进行研究.在对图约束联盟形成及其求解分析的基础上,将社会共享乘车问题转化为一个受社交网络约束的图约束联盟形成问题;建立起一个社会共享乘车问题模型,得到该问题模型的最佳联盟结构以及最优路径,采用一种改进的分支定界方法来求解这个社会共享乘车问题,使该系统的社会福利最大化.实验结果表明,提出算法模型能够改善社会福利,为中等规模的系统快速高效地获得最优解且为大规模的系统获得质量保证的近似解.     

Robust registration based compensation method based on sparse recovery

The loss of the degree of system freedom and mismatch of prior information based on the registration based compensation (RBC) method will result in a decline in computational performance. In order to solve above problems, a robust method named SRBC is proposed where the sparse recovery method is applied instead of the sub-aperture smoothing operation. First, the SRBC utilizes the sparse recovery to get the super resolution clutter space-time spectrum. Then the transition covariance matrix is calculated. Finally, the clutter covariance matrix is reconstructed by the Capon spectrum. Compared with the traditional RBC method, the SRBC proposed does not depend on sub-aperture smoothing operation and prior information and maintains the performance of clutter range-dependence. In addition, it is also steadier when the sensor error exists. Experimental simulation demonstrates the correctness and feasibility of this method.     

Resource allocation scheme for video transmissions in cognitive radio networks

Considering SUs with multiple radios, this paper discusses the cross-layer resource allocation problem for video transmissions in cognitive radio networks. Because of the coupling relationship between radio and channel, this paper proposes a new conflict graph based on the link-radio-channel, and models the resource allocation problem into an optimization problem. The constraints ensure the conflict-free and interference-free video transmissions, and provide flow routing and rate allocation for video services based on the feature of scalable video coding streams. The objective function achieves the network-level throughput maximization with fairness consideration. Simulation results show that the multi-radio transmission could gain a higher throughput. Also, the proposed scheme could provide fairness resource allocation, and use resource efficiently based on the feature of video services.     

基于水资源系统可持续性的南水北调进京规模分析

基于水资源系统可持续性评价的基本理论与方法,分析了不同供水条件和需水方案下北京市2025年水资源系统可持续性和南水北调对北京市未来水资源系统可持续性的影响,并从可持续性角度确定了不同发展情景下南水北调调水规模的阈值。结果表明:南水北调可总体改善北京市未来水资源系统可持续性,但在较高需水方案下或丹江口水库遭遇特枯水年时,北京市水资源系统可持续性状况不容乐观;未来应在科学制定需水方案的基础上合理增大南水北调调水规模,加强应急保障措施和资源战略储备,提升北京市水资源系统可持续性,实现首都水资源可持续发展。     

加工中心部件故障相关度评估

为实现加工中心系统部件间故障相关度评估,采用相关故障机理分析与图论相结合建立系统部件故障传递有向图的方法,将系统部件相关度评估转化为复杂网络节点重要度计算,进而由邻接矩阵及其转置变换并结合pagerank算法,实现加工中心系统部件故障相关度求解.计算结果表明:故障相关度的大小与部件间故障关联关系成正比,存在故障相关的部件的故障相关度大于不存在故障相关的部件的故障相关度.若部件被影响度大,影响度小,说明该部件是故障表象部件;反之,影响度大而被影响度小的是故障源部件.提出的方法有助于故障诊断与维护.     

模拟电路单故障与多故障诊断的提升小波和RBF方法

为了更高效、更准确地诊断模拟电路的单故障和多故障,提出了提升小波和RBF神经网络相结合的方法。该方法用提升小波系数表征故障电路的特征,训练RBF神经网络,将训练好的神经网络作为分类器,对故障电路进行诊断。通过对比,提出的提升小波方法诊断效果明显优于传统小波,准确率达到99.2%,用时更长。结果表明,基于提升小波和RBF神经网络的模拟电路单故障与多故障诊断方法可以有效地提取故障电路的特征并准确快速地对故障进行分类。     

铝合金电阻点焊预压接触分析

为了探究铝合金电阻点焊的接触压力分布及初始导电区域,利用ABAQUS软件建立球面形电极条件下的预压接触二维轴对称有限元模型并对模型施加不同的电极压力.在可视化模块中得到了各个接触面上接触压力随载荷变化曲线、电极上的轴力分布云图及工件内的有效塑性应变云图.有限元分析结果表明,各接触面上的接触压力分布是不均匀的,电极-工件间的接触压力受电极球形端面轴向应力分布影响;工件间接触压力与材料所处状态有关;随着电极压力的增大,工件间接触半径呈线性增长.说明电阻点焊时可以通过选取不同截面的电极来改善接触压力的分布,进而改变初始导电区域的大小.     

Thermal properties of open-celled aluminum foams prepared by two infiltration casting methods

Contrastive research was carried out to study the thermal properties of open-celled aluminum foams prepared by counter-gravity infiltration casting system and the traditional process respectively.The experimental results show that the thermal conductivity coefficients of aluminum foams prepared by two different infiltration methods have similar increasing trend with the increase of particle size; along with the reducing porosity,the thermal conductivity coefficients will be enhanced oppositely.However,with the same particle size,the open-celled aluminum foam prepared by the former method has a higher thermal conductivity coefficient obviously.It is largely because that the sample prepared by counter-gravity infiltration casting has a lower void content and better dense crystallization of metal-matrix after the constant pressure process.