Asymmetric Soft-Structure Functional Surface for Intelligent Liquids’ Distinction,Transportation, and Reaction Mixer

Structured surfaces have attracted wide attention because of their great potential in directional transport, liquid collection or separation, microfluidics, etc. However, it remains a big challenge to design a surface that can distinguish various liquids, utilize their inherent properties to control their transportation, and realize functional applications. Herein, it is presented an asymmetric soft-structure functional surface (ASFS) with arrayed curvature units that can make the Laplace pressure as a driving force to determine the preferential spreading direction and show abundant transport behaviors for liquids with different surface tensions. With good deformability, the proposed ASFS can directionally transport liquids along complex terrains, e.g., 1D-tilted, 2D-curved, and 3D-helical trajectories. It is also demonstrated that the ASFS can achieve synchronous or asynchronous liquid mixing by choosing appropriate liquids. Moreover, the intelligent response ability allows the ASFS to be a portable contact angle discriminator. This study proposes a new strategy to manipulate liquids via their intrinsic properties and opens new avenues for application-oriented liquid operation surfaces.     

Blind signal separation for coprime planar arrays: An improved coupled trilinear decomposition method

In this study, the problem of blind signal separation for coprime planar arrays is investigated. For coprime planar arrays comprising two uniform rectangular subarrays, we link the signal separation to the tensor-based model called coupled canonical polyadic decomposition (CPD) and propose an improved coupled trilinear decomposition approach. The output data of coprime planar arrays are modeled as a coupled tensor set that can be further interpreted as a coupled CPD model, allowing a signal separation to be achieved using coupled trilinear alternating least squares (TALS). Furthermore, in the procedure of the coupled TALS, a Vandermonde structure enforcing approach is explicitly applied, which is shown to ensure fast convergence. The results of Monto Carlo simulations show that our proposed algorithm has the same separation accuracy as the basic coupled TALS but with a faster convergence speed.     

多媒体教学资源云共享平台的构建研究

随着云计算技术的发展,多媒体教学资源的云共享平台的建设引起了人们的高度重视。将多媒体教学资源与云平台建设结合起来,可以有效的解决在多媒体教学资源在网络学习平台建设中存在的种种问题,提高多媒体教学资源的利用率。本文主要研究,多媒体教学资源的特点,多媒体教学资源网络平台建设中存在的问题,云计算和云共享理论、多媒体教学资源云共享平台的构建。     

应对告警风暴告警的系统优化策略

长期以来,随着网络规模的扩大,告警风暴一直是电信网络管理工作的重点与难点.通过对现有告警堆积日常处理经验的研究,包括融合对硬件架构调整、软件调整、中间件配置优化等方法,得到一套解决告警风暴的处理思路,为电信运营商解决此类问题提供借鉴经验.     

最小生成树算法在城市基础建设中的应用

随着城市基础建设规模的逐步扩大,所需建设资金也大幅提高,只有对各类系统进一步优化才能提高其运行的经济效益和利用率,降低其成本。本文采用最小生成树算法对城市基础建设布局进行设计,重点以暖气供应为例进行阐述。     

APT多维度分析和防御研究

“APT多维度分析及防御研究”需要遵循两大原则,即“广谱检测”和“精准定位”的策略。所谓“广谱检测”就是设计的检测方法不局限适用于某一特定的类型的僵尸网络、木马或者蠕虫。“精准定位”就是要求检测结果具有较高的准确性,不仅能确定有无,还要定位感染主机。为了满足上面两个原则,需要将多种检测方法整合到一起,多种检测方法在功能上互相补充,在结果上互相印证,才能获得较理想的结果。     

一种基于地形驻点分割的多通道SAR三维重建方法

多通道SAR具有高度向分辨能力,能够实现叠掩场景的3维重建,但是由于其基线长度有限,利用现有方法进行重建所得高程定位精度往往较差,而且由于叠掩区域散射系数起伏较大,重建结果中存在较多的漏检。针对以上问题,该文提出一种基于地形驻点分割的多通道SAR 3维重建方法,首先通过层析获得场景3维分布的草图,之后通过地形驻点定位及以地形驻点为门限的分割得到不叠掩的数据,最后利用干涉信号处理实现场景的3维重建。该方法结合了多通道SAR的高度向分辨能力和干涉信号处理的高精度,能够更加稳定、精确地实现叠掩场景的3维重建,基于实际场景缩比模型的仿真实验结果验证了该文算法的有效性。     

基于CoMP传输的分布式异构网络资源分配

摘要：提高无线资源利用效率是缓解日益增长的无线通信需求和有限的可用传输资源之间矛盾的主要途径。基于多点协调（coordinated multipoint,CoMP）传输技术的异构网络在提高频谱效率和能量效率方面具有巨大的潜力,近年来受到学术界和工业界的广泛关注。在研究基于CoMP技术的异构网络资源分配问题的基础上,提出了一种基于交叉熵方法的分布式频谱资源调度算法。仿真实验验证了本文提出方法在系统吞吐量、能量效率以及用户公平性等方面的有效性。     

用于VANET紧急消息传输的改进二元分割广播协议

摘要：针对车辆自组织网络（vehicular Ad Hoc network,VANET）中紧急消息的传输,提出一个改进的二元分割广播（MBPAB）协议。协议将通信范围迭代划分成小的区域,寻找离发送节点最远区域内的车辆,对紧急消息执行转发,通过减少转发跳数,提高消息传播速度。通过引入MAC（medium access control）子层的微型分布式帧间间隔（mini-DIFS）,赋予对紧急消息以更高的优先级接入通信信道。仿真结果表明,在VANET 中, MBPAB协议与现有的广播协议相比,在通信时延和消息传播速度方面有更好的性能表现。     

分块的有序范德蒙矩阵作为压缩感知测量矩阵的研究

测量矩阵是压缩感知(Compressed Sensing, CS)的重要组成部分,确定性的测量矩阵易于硬件实现,但是重构信号的精度一般不如随机矩阵。针对这一缺点,该文提出并构造了一种新的确定性测量矩阵,称作分块的有序范德蒙矩阵。范德蒙矩阵具有线性不相关的性质,在此基础上加上分块操作和对元素进行有序排列得到的分块的有序范德蒙矩阵,实现了时域中的非均匀采样,特别适合于维数较大的自然图像信号。仿真实验表明,对于图像信号该矩阵具有远高于高斯矩阵的重构精度,可以作为实际中的测量矩阵使用。