用分子束外延技术在GaAs(110)衬底上生长AlGaAs材料

采用分子束外延技术在GaAs(110)衬底上制备了一系列生长温度和As2/Ga束流等效压强比不同的样品,通过室温光致发光谱、高分辨X射线衍射仪和低温光致发光谱对这些样品进行了分析,找到了在GaAs(110)衬底上生长高质量高Al组分的Al0.4Ga0.6As生长条件.     

ZnS/PS复合体系的白光发射

用电化学方法制备了一定孔隙率的多孔硅(PS)样品,然后用脉冲激光沉积(PLD)法以多孔硅为衬底生长一层ZnS薄膜.ZnS的带隙较宽,对可见光是透明的,用适当波长的光激发,PS发射的橙红光可以透过ZnS薄膜,与ZnS的蓝绿光相叠加,得到了可见光区较宽的光致发光带,呈现较强的白光发射.用X射线衍射仪(XRD)和扫描电子显微镜(SEM)表征了ZnS薄膜的结构性质.结果表明,沉积的ZnS薄膜结晶质量较差,薄膜表面起伏不平,这是由于衬底PS的表面不平整所致.     

Si衬底上SiC薄膜的快速生长

用垂直式低压化学气相沉积(LPCVD)系统,在(111)和(100)Si衬底上快速外延生长了SiC.用Nomarski光学显微镜和X射线衍射(XRD)分析了SiC外延膜.探讨了生长速度与反应气体流量的关系,HCl在反应过程中的作用机理,以及在快速生长条件下外延膜的结晶和取向关系.     

用于产生微波信号的分布反馈激光器与Y形波导单片集成器件的研究

设计并制作了一种在Y形波导的两个分支上集成分布反馈(distributed feedback,DFB)激光器的单片集成器件.DFB激光器的布拉格光栅一次曝光形成,具有相同的光栅周期.当注入电流分别单独加载到两段DFB激光器之上时,从Y形波导端输出光波长在1565nm附近,边模抑制比大于30dB.当大于阈值且相差大于20mA的两个电流同时加载到两段DFB激光器上时,从Y形波导端输出的光谱具有双模分布,双模频率的差值可以拍频产生微波频段的信号.通过调节两段DFB的注入电流,微波信号的频率可以在13～42GHz之间快速连续调谐.这种基于Y形波导的两段DFB并联的拍频光源比传统的双段级联DFB器件有较好的光学和电学隔离,可以作为光学拍频源的一种新的实现方法.     

Platinum Nanoparticle Clusters Immobilized on Multiwalled Carbon Nanotubes: Electrodeposition and Enhanced Electrocatalytic Activity for Methanol Oxidation

3D flowerlike Pt nanoparticle clusters are electrodeposited onto multiwalled carbon nanotubes (MWCNTs) by using a three‐step protocol, which is all‐electrochemical and involves a key, second step of a potential pulse sequence. This 3D fractal morphology is in marked contrast to the 2D uniform nanoparticle dispersion of MWCNTs, which is achieved when the second step adopts cyclic voltammetry instead of a potential‐step method. The former is found to exhibit significantly higher electrocatalytic activity and better stability than the latter for oxidation of methanol. These attractive features are attributable to the unique 3D flowerlike structure of Pt nanoparticle clusters on MWCNTs with much higher electrochemically active surface areas. Our work points to a new path for the preparation of 3D Pt/MWCNT nanocomposites, which are promising as electrocatalysts in direct methanol fuel cells.     

A method for brain 3D surface reconstruction from MR images

Due to the encephalic tissues are highly irregular, three-dimensional （3D） modeling of brain always leads to compli- cated computing. In this paper, we explore an efficient method for brain surface reconstruction from magnetic reso- nance （MR） images of head, which is helpful to surgery planning and tumor localization. A heuristic algorithm is pro- posed foi＂ surface triangle mesh generation with preserved features, and the diagonal length is regarded as the heuristic information to optimize the shape of triangle. The experimental results show that our approach not only reduces the computational complexity, but also completes 3D visualization with good quality.     

A 5 Gb/s multi-mode transmitter with de-emphasis for PCI Express 2.0/USB 3.0

A versatile transmitter compatible SERDES system was fabricated in 55 nm CMOS technology. The proposed transmitter comprises a low-power and low-area driver with de-emphasis and a 10:1 serializer, meanwhile it supports power management to reduce the unnecessary dissipation and to complete the mode transition among four power modes. Furthermore, the transmitter is compatible with PCI Express 2.0/1.0 and also meets the USB 3.0 standard. The experimental results show this test chip passes PCI Express 2.0/1.0 TX compliance test and USB 3.0 TX compliance test. The chip occupies 0.033 mm² and consumes 33 mA at 5 Gb/s.     

WSN中基于多分辨率和压缩感知的数据融合方案

当前基于压缩感知的传感器网络数据融合方案中,不论数据字段有何特征,均假设网络具有固定而均匀的压缩阈值,从而导致数据通信量过高,能耗浪费较大。提出一种基于多分辨率和压缩感知的数据融合方案。首先,对传感器网络进行配置,以生成多个层次类型不同的簇结构,用于过渡式数据收集,在该结构上,最低层的叶节点只传输原始数据,其他层的数据收集簇进行压缩采样;然后将其测量值向上发送,当母数据收集簇收到测量值时,利用基于反向DCT和DCT模型的CoSaMP算法恢复原始数据;最后,在SIDnet-SWANS平台上部署了该方案,并在不同的二维随机部署传感器网络规模下进行了测试。实验结果表明,随着分层位置的变化,大部分节点的能耗均显著降低,与NCS方案相比,能耗下降50%~77%,与HCS方案相比,能耗下降37%~70%。     

车载通信中增强型多跳广播算法研究

提出了一种高速公路场景下基于邻居信息的增强型多跳广播协议(enhanced neighbor information-based muti-hop broadcast protocol,ENIMBP),提出的协议利用车辆的邻居信息同时结合车辆的位置、行驶速度和方向来确定转发等待时间,以选择最优的转发车辆。根据车辆的位置,ENIMBP可以初步确定与广播车辆距离不同的车辆的转发等待时间。而在与广播车辆距离相同的情况下,ENIMBP则利用车辆速度和方向来区分转发等待时间。ENIMBP很好地解决了高速公路场景下的网络分割问题以及隐藏/暴露节点问题。仿真结果表明,在不同的车辆密度场景下,ENIMBP能显著地降低端到端时延,同时保持较好的分组到达率。     

基于有理函数式镜头畸变模型的摄像机标定

摄像机成像模型是决定视觉测量精度的关键因素之一。随着视觉测量精度的要求越来越高,提高摄像机模型和标定的精度是解决该问题的主要手段。将一种新的有理函数式镜头畸变修正模型引入到摄像机的成像建模中,以更好地修正镜头畸变引起的误差,从而提高摄像机成像模型的精度;并提出一种两步求解以及分步迭代优化的方法精确求解成像模型中各参数,以解决有理函数式畸变模型参数无法直接求解的问题。实验结果表明,基于新畸变修正模型的摄像机成像模型比常规畸变修正模型的标定精度有显著的提高,并且新模型对大误差的控制更有效,从而可整体提高视觉测量的精度。