基于富铟团簇量子结构的双波长可调谐半导体激光器

本研究提出了一种采用增益芯片和光栅外腔的双波长可调谐半导体激光器。增益芯片采用了富铟团簇量子限制结构作为其量子限制结构,由于该结构独特的平顶增益特性,可以使激光器在双波长调谐范围内实现光强稳定。本研究中的谐振腔包括内部谐振腔和外部谐振腔,其中内部谐振腔由增益芯片的两个自然解理面构成,以支撑整个系统工作在特定波长。外部谐振腔由增益芯片的一个自然解理面和光栅构成,可实现969.1~977.9 nm的工作波长范围。最终该系统基于单个增益芯片和单个光栅实现了同步双波长输出,双波长的频率差在THz范围。本研究有望为实现双波长差频太赫兹源提供一种可能的解决方案。     

Flexible Nanowire Cluster as a Wearable Colorimetric Humidity Sensor

Wearable plasmonic devices combine the advantages of high flexibility, ultrathinness, light weight, and excellent integration with the optical benefits mediated by plasmon‐enhanced electric fields. However, two obstacles severely hinder further developments and applications of a wearable plasmonic device. One is the lack of efficient approach to obtaining devices with robust antimotion‐interference property, i.e., the devices can work independently on the morphology changes of their working structures caused by arbitrary wearing conditions. The other issue is to seek a facile and high‐throughput fabrication method to satisfy the financial requirement of industrialization. In order to overcome these two challenges, a functional flexible film of nanowire cluster is developed, which can be easily fabricated by taking the advantages of both conventional electrochemical and sputtering methods. Such flexible plasmonic films can be made into wearable devices that work independently on shape changes induced by various wearing conditions (such as bending, twisting and stretching). Furthermore, due to plasmonic advantages of color controlling and high sensitivity to environment changes, the flexible film of nanowire cluster can be used to fabricate wearable items (such as bracelet, clothes, bag, or even commercial markers), with the ability of wireless visualization for humidity sensing.     

一种基于语料特性的聚类算法

为寻求模型不匹配问题的一种恰当的解决途径,提出了基于语料分布特性的CADIC(clustering algorithm based on the distributions of intrinsic clusters)聚类算法。CADIC以重标度的形式隐式地将语料特性融入算法框架,从而使算法模型具备更灵活的适应能力。在聚类过程中,CADIC选择一组具有良好区分度的方向构建CADIC坐标系,在该坐标系下统计固有簇的分布特性,以构造各个坐标轴的重标度函数,并以重标度的形式对语料分布进行隐式的归一化,从而提高聚     

平滑度欧式聚类算法分割点云数据

提出一种平滑度欧式聚类点云分割算法,用于实现对Kinect点云的快速、准确分割.首先介绍了Kinect点云的采集和滤波方法,然后在传统欧式聚类算法基础上提出了一种平滑度欧式聚类分割算法,通过加入平滑阈值的约束来防止过度分割或分割不足的问题,并保持了较快的分割速度.通过对工业机器人获取的阀门点云数据进行实验,证明了算法的有效性.     

基于网格的快速搜寻密度峰值的聚类算法优化研究

CFSFDP是基于密度的新型聚类算法,可聚类非球形数据集,具有聚类速度快、实现简单等优点。然而该算法在指定全局密度阈值dc时未考虑数据空间分布特性,导致聚类质量下降,且无法对多密度峰值的数据集准确聚类。针对以上缺点,提出基于网格分区的CFSFDP(简称GbCFSFDP)聚类算法。该算法利用网格分区方法将数据集进行分区,并对各分区进行局部聚类,避免使用全局dc,然后进行子类合并,实现对数据密度与类间距分布不均匀及多密度峰值的数据集准确聚类。两个典型数据集的仿真实验表明,GbCFSFDP算法比CFSFDP算法具有更加精确的聚类效果。     

Pb_n微团簇(n=20～30)及铅晶体表面过程的计算机模拟

基于Murrell等提出的有效正体加三体展开势能函数对铅微团簇Pbn (n =2～ 3 0 )的结构及面心立方晶体铅的表面行为进行了计算机模拟。发现Pbn 微团簇的结构衍生规律为 :依次增加一个三配位的表面原子 ,分子表面为三元环所覆盖 ,整个分子为畸变的四面体的密堆积 ;f (c)铅晶体的表面层原子间内压缩最为严重 (最大达 8% ) ,从第三层开始层间距的伸缩率已经很小 ( <1 % )。     

Pbn微团簇(n=20～30)及铅晶体表面过程的计算机模拟

基于Ｍｕｒｒｅｌｌ等提出的有效正体加三体展开势能函数取铅微团簇ｐｂｎ（ｎ＝２～３０）的结构及面心立体表面心立方晶体铅的表面进行也计算机模拟。发现ｐｂｎ微团簇的结构衍生规律为：依次增加一个配位的表面原子,分子表面原子,分子表面为三元环所覆盖,整个分子为畸变的四面体的密堆积：ｆ（ｃ）铅晶体的表面层原子间内压缩最为严重（最大达８％）,从第三层开始层间距的伸缩率已经很小（〈１％）。     

QDENSITY—A Mathematica Quantum Computer simulation

This Mathematica 5.2 package¹ is a simulation of a Quantum Computer. The program provides a modular, instructive approach for generating the basic elements that make up a quantum circuit. The main emphasis is on using the density matrix, although an approach using state vectors is also implemented in the package. The package commands are defined in Qdensity.m which contains the tools needed in quantum circuits, e.g., multiqubit kets, projectors, gates, etc. Selected examples of the basic commands are presented here and a tutorial notebook, Tutorial.nb is provided with the package (available on our website) that serves as a full guide to the package. Finally, application is made to a variety of relevant cases, including Teleportation, Quantum Fourier transform, Grover's search and Shor's algorithm, in separate notebooks: QFT.nb, Teleportation.nb, Grover.nb and Shor.nb where each algorithm is explained in detail. Finally, two examples of the construction and manipulation of cluster states, which are part of “one way computing” ideas, are included as an additional tool in the notebook Cluster.nb. A Mathematica palette containing most commands in QDENSITY is also included: QDENSpalette.nb.

Program summary

Title of program: QDENSITYCatalogue identifier: ADXH_v1_0Program summary URL:http://cpc.cs.qub.ac.uk/summaries/ADXH_v1_0Program available from: CPC Program Library, Queen's University of Belfast, N. IrelandOperating systems: Any which supports Mathematica; tested under Microsoft Windows XP, Macintosh OS X, and Linux FC4Programming language used: Mathematica 5.2No. of bytes in distributed program, including test data, etc.: 180 581No. of lines in distributed program, including test data, etc.: 19 382Distribution format: tar.gzMethod of solution: A Mathematica package is provided which contains commands to create and analyze quantum circuits. Several Mathematica notebooks containing relevant examples: Teleportation, Shor's Algorithm and Grover's search are explained in detail. A tutorial, Tutorial.nb is also enclosed.     

Satisfying quality requirements in the design of a partition‐based,distributed stock trading system

Although quality requirements (QRs) have become a major drive in today's software development, there have been very few real‐world examples in the literature that demonstrate how to meet these requirements. This paper presents such an example. Specifically, the paper describes the design of a partition‐based distributed stock trading service system that satisfies a set of QRs related to resource utilization, performance, scalability and availability. The paper evaluates this design through detailed experiments and discusses some design alternatives and the lessons learned. Central to this design are a static load distribution strategy and a dynamic load balancing strategy. The first strategy is to achieve an initial balanced workload on the system's server cluster during the system initialization time, whereas the second strategy is to maintain this balanced workload throughout the system execution time. Together, these two strategies work in unison to ensure that the server resources are efficiently utilized; the user requests are processed with the required speed; the application is partitioned with sufficient room to scale; and the system is highly available. Copyright © 2011 John Wiley & Sons, Ltd.