InP／InGaAsP1.3μm弯曲波导吸收区超辐射发光二极管的计算机辅助分析

本文用束传播法对具有弯曲波导吸收区的超辐射发光二极管进行了计算机辅助分析,研究了有源层厚度、波导宽度、吸收区长度、弯曲波导曲率半径对器件性能的影响。研究结果表明,对于该器件,存在最佳结构参数,使得吸收区对光激射的抑制作用最好。     

采用“归D法”的时序电路CAA

本文提出了各类触发器分解成Ｄ触发器的分解逻辑表达式，利用它把其它类型触发器的时序电路转换成了Ｄ触发器时序电路（简称＂归Ｄ法＂）。采用＂归Ｄ法＂编制的时序电路ＣＡＡ（计算机辅助分析）程序，适用于各类触发器时序电路的分析，这样做既简化了软件编程，又提高了分析效率。     

InP／InGaAsP异质结双极晶体管发射极条长及基区宽度的选择

本文以Ｅｂｅｒｓ－Ｍｏｌｌ模型为基础，对ＩｎＰ／ＩｎＧａＡｓＰ异质结双极晶体管的高频小信号调制性能进行计算机辅助分析，研究了影响器件高频性能的几个主要模型参数，讨论了在一定的工作电流下，发射极条长及基区宽度对器件高频小信号调制性能的影响，给出了优化选择发射极条长及基区宽度的近似方法。     

PSEN1 Compound Heterozygous Mutations Associated with Cerebral Amyloid Angiopathy and Cognitive Decline Phenotype

Cerebral amyloid angiopathy (CAA) is a cerebrovascular disorder caused by the deposition of amyloid beta-peptide (Aβ) aggregates. Aβ aggregates lead to vessel rupture and intracerebral hemorrhages, detected by magnetic resonance imaging (MRI). Presenile CAA is usually genetically determined by mutations in the amyloid precursor protein (APP) gene. However, mutations after codon 200 in the presenilin 1 (PSEN1) gene have been reported to facilitate CAA onset. Here, we analyzed the genetic bases in a patient of 55 years old affected by CAA and cognitive decline. DNA was isolated and genetic analysis was performed by Next-Generation Sequencing (NGS). RNA was extracted and retro-transcribed to perform segregation analysis by TOPO-TA cloning. WB analysis was carried out to check the impact of the mutations on protein. Two compound heterozygous mutations in PSEN1 exon 10, such as a novel stop-gain mutation (c.1070C > G) and a pathogenic splice variant (c.1129A > T), were found by NGS. Both mutations altered the presenilin 1 protein, truncating its C-terminal portion. This is the first case of CAA and cognitive decline caused by two compound mutations in PSEN1. With this report, we suggest extending the genetic analysis to PSEN1 when cerebral microbleeds are observed by MRI investigation in a patient affected by presenile cognitive decline.     

基于CATIA二次开发的五坐标数控机床运动仿真系统

在以Windows XP为操作系统的微机上，应用VC 6．0工具，基于Component Application Architecture(CAA)组件应用架构的CATIA二次开发技术，建立了一个五坐标数控机床的运动仿真系统，为进一步建立整个仿真系统做好了准备。     

EIS型半导体生化传感器EI界面势的理论模拟

建立了较完整的适用于EIS(electrolyte insulator semiconductor)型生化传感器的EI界面势理论模型,在此基础上开发了EI界面的计算机辅助分析程序,对EI界面中双电层电势分布、带电格点密度、EI界面势进行了深入的定量分析,最后将EI界面势模拟结果与ISFET(ion sensitive field effect transistor)的实测结果进行了比较,进一步验证了文中的理论模型.     

自动铺丝机运动控制信息的生成与仿真

针对复合材料自动铺丝机的运动问题，在已知芯模外形和纤维铺放路径的基础上，运用机器人学原理建立了铺丝机构杆件坐标系，解算了空间机构运动学逆问题，实现了铺丝机构各运动关节控制信息的自动生成。基于CATIA开发平台CAA，在CATIA中实现了某复合材料进气道零件的铺丝仿真。     

A novel dynamic fault restoration mechanism using cluster allocation approach in WDM mesh networks

This work describes a novel distributed algorithm, called the Cluster Allocation Algorithm (CAA), for the restoration scheme in a WDM mesh network. The nodes search for neighboring nodes and establish the relationship between them to build numerous logical clusters. Each cluster has a unique manager, called Cluster Head (CH) that searches for routing path, wavelength assignment (RWA) and restoration paths upon receiving requests from its cluster members. Some clusters might comprise only one CH, and cluster members in each cluster can be directly connected to CH. The communication among clusters is also negotiated through the manager. The selected restoration path is pre-computed from the CH to the destination node with the minimum cost function. Therefore, restoration paths can be sought with quick assignment of wavelength routings when the link, node or channel failure occurs based on the status of traffic load, number of nodes and transmission time. The primary aim of this work is to use clusters near faults to share the restoration load throughout the mesh network. The system performance of the CAA is compared with p-cycle, double cycle and DMRA methodologies in terms of restoration time and non-restoration ratio.     

基于元模型重用技术的蒙皮拉形模具优化设计

针对目前航空钣金制造中,飞机蒙皮零件设计制造存在的多次重复建立系统模型问题,提出了一种基于元模型和重用技术的几何/分析模型全信息相关的设计方法。首先在ABAQUS中对蒙皮拉伸成形工艺和模具拓扑优化过程进行仿真模拟,分析结果文件并生成设计分析流;再综合比较系统模型的信息及特点,对元模型关键参数进行特征提取和操作分析,并将重用信息分别映射至三维模型和仿真模型,实现对元模型的多次调用。以某飞机蒙皮拉形模具CAD/CAE设计系统为例,分析了系统的设计框架和零件模型的构建模式,利用CAA语言和Python脚本开发出可应用于成形仿真模拟和模具拓扑优化的通用化程序,实现了面向设计模式重用的系统集成开发。     

用于气动声学计算的完全耦合层吸收边界条件

根据伪时均流假设,推导了波动量的非守恒非线性欧拉方程;采用频率变化的方法,给出了一个时间与空间坐标变换关系,并将波动量的非守恒非线性欧拉方程变换至新坐标系;通过复数变换方法引入阻尼,构建了斜流非守恒非线性x层、y层及角层完全耦合层(PML)吸收边界条件;最后用算例测试了该吸收边界条件的精度和收敛性。研究结果表明：当吸收层数等于10时,最大反射量不超过0.5%,并且随着PML层数的增加而迅速减小;当吸收层数为40层时,最大反射量小于0.1%,达到收敛;在背景斜流下,该PML吸收边界条件能较好地吸收熵波与声波,可用于气动声学计算。