八粒子量子态对彩色图像的存储方案

经典彩色图像的存储方法存在着数据量很大且很费内存等缺点,针对这些缺点,提出了一种在量子比特阵列中采用八粒子量子态存储彩色图像的方法,借助于量子态的巨大存储能力,通过采用量子并行计算特性的Grover量子搜索算法,起到平方根加速的理想效果.在图像存储和图像重构的过程中,对量子比特阵列进行搜索找到相应的彩色图像,证明所采用的方法有很好的效果.     

High-performance flexural fatigue of carbon nanotube yarns

Carbon nanotube yarns （CNTY） possess good specific strength and specific conductivity. As such, their potential for commercial applications is significant. Fatigue performance is a significant consideration in yarn/wire applications. In this study, the flexural fatigue performance of CNTY spun from super-aligned carbon nanotube arrays was investigated using a reversed bending test. The results showed that CNTY exhibited excellent resistance to pure flexural fatigue, significantly outperforming stainless steel wire; CNTY failed where a combination of flexural fatigue and tension-tension fatigue had special hollow fracture morphology, and CNTY resistance remained fundamentally unchanged in the combination fatigue process.     

基于超表面的极化可重构天线设计

设计了一种应用于WiMAX频段的极化可重构天线。天线由交叠放置的两个方环构成的“8”字形超表面和缝隙天线两部分组成，通过机械旋转超表面实现了线极化（LP）、左旋圆极化（LHCP）以及右旋圆极化（RHCP）三种状态的转换。仿真和测量结果表明，该天线实现了线极化和圆极化之间的转换，圆极化状态下的-10 dB相对阻抗带宽为35.4%(2.84 GHz～4.06 GHz),3 dB轴比带宽为10.2%(3.34 GHz～3.7 GHz)；线极化状态下-10 dB阻抗带宽为37.4%(2.74 GHz～4 GHz)。天线具有较好的辐射特性，工作频段内增益均高于6 dBi。     

镍铁钴磷化物纳米片阵列的制备及其电催化析氧性能

采用溶剂热法将镍、铁和钴的硝酸盐溶液在180 ℃条件下反应24 h，经过后续磷化反应，在泡沫镍基底上生长镍铁钴磷化物纳米片阵列(NiFeCoP@NF).采用X射线衍射、扫描电子显微镜、透射电子显微镜、X射线光电子能谱等测试手段对材料进行了表征，并用电化学工作站研究了镍铁钴磷化物纳米片阵列的析氧性能.结果表明:当电流密度达到10 mA/cm2时，需要的过电势仅为160 mV，并且在恒定电流密度下，过电势可保持24 h.研究结果对于研究纳米结构的过渡金属磷化物电催化剂具有借鉴意义.     

基于RFID阵列的无轨AGV系统的研究与设计

为改进有轨自动导航小车(AGV)的不足,研究一种基于RFID阵列的无轨AGV系统。该系统包括RFID阵列地板、无线通信网络、上位机、运行场地地图、小车运行控制系统;AGV安装若干RFID读卡器,运行在RFID阵列地板上,运行时通过读取地板下RFID电子标签的ID号,并通过无线通信网络发送到上位机;上位机构建和存储RFID阵列地板地图,上机位将接收到的ID号与存储的地图进行对照,计算出小车当前的位置的运行姿态,依据预设的运行路径生成AGV当前的控制指令并通过无线网络发送小车,控制小车的运行。系统通过利用RFID与地图实现定位,上位机生成控制指令的方式,实现AGV无轨运行。验证测试结果表明,AGV在预设运行路径上行驶,平均定位精度5cm,实用性好,稳定性高。     

基于粒子群优化的圆阵列波束形成方法

围绕均匀圆阵列(uniform circular array, UCA)在波束形成中存在的波束主瓣宽、旁瓣电平高的问题,提出了一种基于粒子群优化(particle swarm optimization, PSO)算法的圆阵列波束形成方法。通过对UCA的输出信号进行模式空间变换,将UCA数据转换为虚拟均匀线阵数据形式。利用PSO算法充分挖掘均匀线阵各阵元间数据信息,进行阵元拓展,从而实现阵列阵元数及孔径尺度的增加,实现降低阵列波束主瓣宽度及旁瓣电平的目的。实验结果表明,在适当增加计算复杂度的前提下,利用PSO算法对阵列进行阵元拓展可以显著地提高波束形成质量,且适用于自适应波束形成。     

φ混合随机变量阵列加权和的收敛性质

利用φ混合随机变量的Rosenthal型矩不等式,考虑一定权重条件下,不同分布φ混合随机变量阵列的强收敛性质,得到了一些新结果.     

An effective amperometric biosensor based on graphene modified gold nanowire arrays for glucose detection

A novel glucose biosensor based on graphene nanosheets （GNs） modified gold nanowire arrays （AuN- WAs） electrode was constructed. Highly ordered gold nanowire arrays were prepared by direct electrodeposition in anodic aluminum oxide templates. GNs were synthe- sized through a public route involving graphite oxidation, exfoliation, and chemical reduction. Field emission scan- ning electron microscope and high-resolution transmission electron microscope were employed to characterize the as- prepared AuNWAs and GNs. Glucose oxidase was immobilized on the surface of GNs-AuNWAs modified electrode via a cross-linking method. The cyclic voltam- metry results showed that the GNs-AuNWAs-based glu- cose biosensors have high catalysis activity to hydrogen peroxide （H2O2） than those modified with GNs or AuN- WAs only. Furthermore, amperometric response was employed to detect glucose concentration owing to its simplicity, high selectivity, and relative low cost. Glucose biosensors based on GNs-AuNWAs showed excellent performance with high sen- sitivity of 40.25 μA cm^-2 （mmol/L）^-1, low detection limit of 0.02 mmol/L, and a linear range from 0.02 to 3 mmol/L.