基于五粒子cluster态的受控双向量子隐形传态

提出了一个由三方共享五粒子Cluster态为量子通道进行单粒子双向隐形传送的方案。方案中通信双方Alice和Bob各拥有五粒子Cluster态中的2个粒子以及未知单粒子态的粒子A和B,控制者Cindy拥有Cluster态中1个粒子。Alice和Bob首先分别对手中的粒子A,B以及通道中的1个粒子做bell基测量。并通过经典信道将测量结果告知对方以及控制者Cindy。接着,Cindy对手中的粒子做单粒子投影测量,并通过经典信道告知Alice和Bob测量结果。Alice和Bob根据三方的测量结果分别对手中的另一个粒子做出相应的幺正操作便可得到对方所要传送的量子态,使得单粒子态的受控双向隐形传态的目的得以实现。     

基于3G无线传感的桥梁集群健康监测系统

介绍了一种基于3G无线传感的桥梁集群健康实时监测系统。系统将3G无线模块与ZIGBEE无线传感网络模块统一于AT91SAM9G20 ARM微处理器芯片,嵌入LINUX操作系统,设计了桥梁健康监测系统下位机系统。采用VC6.0软件,设计了桥梁健康监测中心上位机系统。在桥梁集群上80个采集点实际应用表明,该系统运行稳定,数据存储和无线传输稳定可靠,可满足桥梁集群无线健康监测的需求。     

An Airborne Radar Clutter Tracking Algorithm Based on Multifractal and Fuzzy C-Mean Cluster

For an airborne Iookdown radar, clutter power often changes dynamically about 80 dB with wide distributions as the platform moves. Therefore, clutter tracking techniques are required to guide the selection of const false alarm rate （CFAR） schemes. In this work, clutter tracking is done in image domain and an algorithm combining multifractal and fuzzy C-mean （FCM） cluster is proposed. The clutter with large dynamic distributions in power density is converted to steady distributions of multifractal exponents by the multifractal transformation with the optimum moment. Then, later, the main lobe and side lobe are tracked from the multifractal exponents by FCM clustering method.     

复杂系统多因素估计函数分析及其应用

复杂的系统通常有多因素与目标相关。这些因素中哪些与目标最相关,以及相关因素与目标之间的关系对复杂系统的分析很重要.首先采用基干信息熵的方法求取最关键因素.然舌对训练集进行聚类,最后采用拉格朗日多项式定义关键因素与目标之间的函数关系,并将该方法应用干智能交通系统中的行车油量分析系统,取得了较好的效果.     

基于第三方控制的量子双向传态

提出一个基于第三方控制的量子双向传态方案：通信双方Alice、Bob和控制方Charlie事先共享一个六粒子团簇态,通信开始后,Alice、Bob分别对自己拥有的部分粒子作Bell基联合测量（BSM）,若控制方同意双方通信,则对自己拥有的粒子对作测量,将粒子所处的态公布;通信双方根据控制方公布的测量结果,对各自的某些粒子作适当的幺正变换,即可在这些粒子上重建对方要传的态。由于加入了第三方的控制,双向传态的安全性得到了提高。     

背景典型斑点特征的聚类分析

迷彩是一项重要的目标防护手段,斑点形状设计是进行迷彩设计的基础。首先自动提取背景图像中的明显斑点,然后分析背景斑点周长、面积、伸长度、矩形度、细长度、分散度等特征的统计特性,最后将长度、矩形度、细长度、分散度作为斑点特征向量对提取出的背景斑点进行HCM聚类分析,进而得到背景典型斑点的特征参数。该方法能得到大样本背景图像斑点特征的统计特征,对自动、定量化的迷彩设计具有一定意义。     

Energy‐efficient data transmission technique for wireless sensor networks based on DSC and virtual MIMO

In a wireless sensor network (WSN), the data transmission technique based on the cooperative multiple‐input multiple‐output (CMIMO) scheme reduces the energy consumption of sensor nodes quite effectively by utilizing the space‐time block coding scheme. However, in networks with high node density, the scheme is ineffective due to the high degree of correlated data. Therefore, to enhance the energy efficiency in high node density WSNs, we implemented the distributed source coding (DSC) with the virtual multiple‐input multiple‐output (MIMO) data transmission technique in the WSNs. The DSC‐MIMO first compresses redundant source data using the DSC and then sends it to a virtual MIMO link. The results reveal that, in the DSC‐MIMO scheme, energy consumption is lower than that in the CMIMO technique; it is also lower in the DSC single‐input single‐output (SISO) scheme, compared to that in the SISO technique at various code rates, compression rates, and training overhead factors. The results also indicate that the energy consumption per bit is directly proportional to the velocity and training overhead factor in all the energy saving schemes.     

Improved low energy adaptive clustering hierarchy and its optimum cluster head selection

ABSTRACT

Wireless sensor networks (WSNs) play a vital role in present-day world, which are being used in different types of applications and occupy an important part in networking domain. The main objective of WSNs is to sense and collect the information from a given area of interest and provide the gathered data to the sink. WSN comprises of number of sensor nodes with batteries of limited energy for communication and computational activities, which are not possible to recharge the batteries after their deployment in the region of interest. Therefore, saving battery energy and utilising the limited power to the optimum level for extending network lifetime became the main factor of WSN. Hence, optimum cluster head (CH) selection will make the network to support longer lifetime and balanced energy consumption during its lifetime. Our proposed protocol selects the optimum CH and found out to be more efficient than the existing low energy adaptive clustering hierarchy. The simulated output shows better network lifetime and in some other performance metric.     

可探测型气吹微缆的研究

随着光通信网络的发展,光网络发展由核心骨干网向城域网及接入网递进发展,光缆敷设的量与范围越来越大,敷设光缆的管道资源越来越紧张,因此对纤密度较高的微缆的需求越来越多,这种光缆光纤密度比较高,光缆成本相对较为高昂,一旦发生施工等原因造成的破坏时,会造成较大的损失。因此,对已敷设的光缆进行维护及故障处理时如何有效地定位是一个大问题,所以需要光缆具备可被探测定位的功能以方便维护、提高效率、减少损失。本文涉及了一种新型的可探测型气吹微缆,其采用内嵌钢丝的玻璃纤维中心加强件的结构,可以使用光电缆路由测试仪有效的应对敷设光缆故障处理中的探测定位问题。本文设计了五种不同的方案,从内嵌钢丝的材质以及钢丝占比量等多方面对微缆的气吹及探测等性能进行了对比验证,从而确定了可探测型气吹微缆的最优结构设计。     

蓝牙资格认证要点

蓝牙资格认证的核心规范带来了物理层、链路层和同步适配层的新测试要求。介绍了蓝牙资格认证的四个要点,包括蓝牙资格认证流程、蓝牙技术联盟会员须知、蓝牙资格认证版本、蓝牙组网技术认证与测试规范,旨在为有蓝牙认证需求的企业提供帮助。