微结构量子器件

微结构量子器件是八十年代中期伴随着微结构物理的发展而出现的一种新的半导体器件,这种器件以量子力学原理工作,具有常规“经典”器件无法比拟的优异特性。本文在简要介绍了微结构系统电子状态的基础上,较详细地描述了量子谐振隧道器件以及量子线和量子点激光器的基本原理、特点及其应用前景。     

Effect of silver addition on superconductivity in the Bi1.6Pb0.4Sr1.6Ca2Cu3O10−y system

Silver/superconductor composites containing 0 to 80 vol% silver have been prepared and their properties determined. Optimum heat treatment at sintering temperatures ( 800° C) under low oxygen pressures produces material with high critical current density and improves physical properties. Magnetic susceptibility measurements have been found to be consistent with resistivity results. In order to retain a single high-T _c phase with increasing silver content, decreased oxygen partial pressures are required. Using the normal-state resistivity of these composites, a percolation threshold at a silver volume fraction of 43% was observed, while zero resistivity measurements show that a continuous superconducting network can be obtained with up to 80 vol% silver. The critical current density of 21 vol% silver-doped samples was found to be 1520 A cm^–2 at 77.3 K, compared to 260 A cm^–2 for an undoped sample.     

Personalizing 3D virtual fashion stores: Exploring modularity with a typology of atmospherics based on user input

This research develops a typology of atmospherics that contains user-identified modules and modular options for personalizing 3D virtual fashion stores. A content analysis of 46 focus group discussions (n = 170) was conducted to understand the user’s perspective for personalizing 3D virtual fashion store atmospherics. Based on three atmospheric categories (pathfinding assistant, environment, and the manner of product presentation), 17 modules and 207 modular options were identified for personalizing 3D virtual stores. This research pioneers the development of an atmospherics typology for personalizing 3D virtual shopping environments as a persuasive selling tool in the emerging field of 3D virtual reality (VR) retailing.     

Bibliometric analysis on tendency and topics of artificial intelligence over last decade

Microsystem Technologies - Artificial intelligence (AI), together with its applications, has received world-wide attentions and is expected to exert force on the development of global economy and...     

信息栅格网络安全技术综述

详细介绍了信息栅格的基本概念、功能模型和体系结构,以信息栅格网络所要解决的安全问题为切入点,从信息栅格安全需求、安全模型、安全关键技术等方面阐述了信息栅格网络的主要安全技术及其发展情况。最后指出信息栅格网络安全技术面临的一些问题和未来研究方向。     

双目视觉系统在风洞伞摆角测量中的研究与应用

伞系统是飞行器的重要组成部分,其摆角参数是系统安全性的重要指标之一;针对目前风洞试验中伞摆角难以测量的问题,提出了一种基于双目视觉系统的试验方法,该系统主要由两部CCD相机、图像采集卡和控制计算机组成,通过立体视觉标定和数字图像处理技术解算出空间特征标记的三维坐标,根据坐标的空间几何关系计算出伞摆角参数;试验结果表明该方法应用成功,能够同时获取伞运动过程中投影在正交平面上的竖直和水平摆角,且具有系统组成简单、通用性强的优点,有较高的应用价值。     

基于改进扩展关联模型的飞机组件测试性研究

多信号流图模型是一种简单而有效的系统建模方法,已广泛地应用于测试性分析和故障诊断领域;为了减少飞机维修过程中组件的不必要更换,提高维修效率,对多信号流图模型的建模方法进行研究,以飞机音频管理组件(AMU)为例,建立多信号流图模型,构建故障一测试关联矩阵和故障一故障关联矩阵;为与实际出现的组件故障信息相匹配,对故障一故障矩阵进行改进,构建了实际故障信息一故障关联矩阵,对组件模型进行测试性分析;由实际维修经验可知,该信号模型可快速地定位故障,给出相应的维修措施,减少通常维修中采取的不必要措施,降低了人为因素的影响,大大地缩短了维修时间.     

基于PCA-BP神经网络的装甲车辆柴油机状态评估

针对装甲车辆柴油机摩托小时不能真实反映实际技术状况的问题,通过提取气缸压缩压力、加速时间、减速时间、供油提前角、振动能量和平均燃油流量等状态参数,运用主成分分析和BP神经网络相结合的方法构建了一种柴油机状态评估模型;该模型首先利用主成分分析方法将多个参数简化为两个综合参数,并根据综合参数的散点图对柴油机的状态进行初步划分,得到BP神经网络的训练数据;最后通过建立BP神经网络进行状态评估;评估结果表明,该模型准确度高,具有较好的应用和推广价值。     

基于BP神经网络的加药控制系统研究

浮选是最重要的选矿方法之一,煤矿浮选工艺自动加药控制问题是影响浮选效果的重要因素;传统加药控制主要是由加药工根据生产经验来控制,为了解决浮选精度低这一问题,文中提出采用BP神经网络作为加药控制系统加药量的预测模型,并采用动量项方法对其进行优化,通过仿真得出动量项法网络和测试样误差曲线,说明带动量项改进的神经网络更容易满足网络精度的要求,并且该方法能够有效地降低误差、减小浪费。