GCr18Mo轴承钢的下贝氏体组织转变

利用光学显微镜和透射电镜观察和分析了GCr18Mo轴承钢的下贝氏体组织形貌和精细结构,探讨了下贝氏体组织转变机理。借助于图像分析仪分析了下贝氏体转变动力学。结果表明,GCr18Mo轴承钢等温淬火后生成的下贝氏体呈针状或竹叶状,且堆聚成簇,下贝氏体中的铁素体为条状,空间呈双透镜状,由许多更小的铁素体亚条平行排列构成;GCr18Mo轴承钢的下贝氏体转变机理符合类平衡切变长大模型,其形成过程是孕育成核和快速长大的过程,它的转变动力学方程为y=1-exp(2.2×10-12t3.22)。     

新型夹纱器压电驱动器的运动特性

为解决传统电磁夹纱器响应频率低、一致性差等问题,提出了基于压电技术设计新型夹纱器的新方法,并对其压电驱动器进行动态分析。首先对压电驱动器静态参数及影响端部位移的参数进行分析,得到其最佳夹持长度;随后建立悬臂式压电驱动器动力学模型并使用MatLab对系统进行仿真,分析了各个参数的数值改变对系统动态特性与稳定性的影响;最后搭建实验平台对压电驱动器进行测试,验证了压电驱动器的先进性。仿真和实验结果表明：驱动电压为150 V,频率为10 Hz,压电驱动器端部最大位移为1.49 mm左右,达到最大位移的系统响应时间稳定在1.6 ms;相比国内外电磁夹纱器,动态性能有了明显提高。     

PKI多级信任模型的分析与研究

PKI信任模型的选择在实施PKI过程中是一个重要的环节。对现有的PKI多级信任模型进行了分析比较,同时介绍了一种基于路径代理的桥信任模型。该信任模型将复杂的路径构造问题转换为路径查询问题,最后对实现该信任模型的各模块进行了分析。     

新型双环减速器机构虚拟装配及运动学仿真

运用I—DEAS对整个双环行星减速器进行三维实体造型的楚础上,通过虚拟装配检验检查是否存在装配干涉的问题,进行双环减速器的机构分析,生成整体结构运动过程动画,观察各个零件的运动状态,并输出主要零件的运动图游。表明该设计方案在外形结构及运动学方面是仑理的,为下一步设计研究奠定基础。     

Kinetic Monte Carlo Simulation of Deposition of Co Thin Film on Cu（001）

A kinetic Monte Carlo （kMC） simulation is conducted to study the growth of ultrathin film of Co on Cu（001） surface. The many-body, tight-binding potential model is used in the simulation to represent the interatomic potential. The film morphology of heteroepitaxial Co film on a Cu（001） substrate at the transient and final state conditions with various incident energies is simulated. The Co covered area and the thickness of the film growth of the first two layers are investigated. The simulation results show that the incident energy influences the film growth and structure. There exists a transition energy where the interracial roughness is minimum. There are some void regions in the film in the final state, because of the influence of the island growth in the first few layers. In addition, there are deviations from ideal layer-by-layer growth at a coverage from 0 - 2 monolayers （ML）.     

结合轻量化骨干与多尺度融合的单阶段检测器

目的 基于卷积神经网络的单阶段目标检测网络具有高实时性与高检测精度,但其通常存在两个问题：1)模型中存在大量冗余的卷积计算;2)多尺度特征融合结构导致额外的计算开销。这导致单阶段检测器需要大量的计算资源,难以在计算资源不足的设备上应用。针对上述问题,本文在YOLOv5(you only look once version 5)的结构基础上,提出一种轻量化单阶段目标检测网络架构,称为E-YOLO(efficient-YOLO)。方法 利用E-YOLO架构构建了E-YOLOm(efficient-YOLO medium)与E-YOLOs(efficient-YOLO small)两种不同大小的模型。首先,设计了多种更加高效的特征提取模块以减少冗余的卷积计算,对模型中开销较大的特征图通过下采样、特征提取、通道升降维与金字塔池化进行了轻量化设计。其次,为解决多尺度特征融合带来的冗余开销,提出了一种高效多尺度特征融合结构,使用多尺度特征加权融合方案减少通道降维开销,设计中层特征长跳连接缓解特征流失。结果 实验表明,E-YOLOm、E-YOLOs与YOLOv5m、YOLOv5s相比,参数量分别下降...     

基于CMMS的综合电子信息系统想定研究

任务空间概念模型是建模与仿真通用技术框架的三个组成部分之一,其目的是促进国防建模与仿真领域仿真部件的重用和互操作.而想定是综合电子信息系统建设过程中的重要组成部分,是进行战争模拟的基本前提;它针对研究分析和训练的问题,对模拟的战争系统的空间、时间、过程以及为了实现这一模拟仿真过程所需要的背景、条件、约束、规则以及仿真资源的设定.作战想定具体刻画了战争系统中需要描述的实体种类、数量以及需要关注的实体属性和活动.针对目前想定与仿真模型紧耦合而带来仿真系统重用性差等缺点,利用CMMS的思想,提出了一种能够实现想定与仿真系统相分离的处理机制,以促进想定的重用的和仿真的互操作性.     

一种改进的交互多模型算法

提出了一种对机动目标跟踪的交互多模型改进算法,将切向加速度均值自适应的当前统计模型与具有零均值一阶高斯-马尔可夫过程的非对称函数的法向加速度模型相结合的模型与常速模型进行交互。由于该算法对法向加速度精确建模,所以对机动目标的跟踪精度较高。仿真结果表明,该算法对机动目标的跟踪性能明显优于采用含有法向和切向加速度的加速度均值自适应的当前统计模型和常速模型进行交互的算法（IMM-CV/CS算法）。     

深圳地区多普勒测风激光雷达的湍流观测

激光雷达可以快速实现对大气风场的非侵入测量, 获得精确三维风矢量。为验证测风激光雷达观测湍流的可 行性并获得湍流观测特征, 利用相干多普勒激光雷达在深圳杨梅坑进行湍流观测实验。依据 Reynolds 分解原理, 应用 小波分解获取湍流脉动并分析大气的湍流运动特征。结果表明: 观测地日平均湍流强度呈现“单峰单谷”结构, 与实验 期间气温的变化呈现较高相关性; 湍流动能引起垂直方向上的输送主要集中在日间 12:00 后, 与湍流耗散率的相关系 数达 0.77; 湍流功率谱密度在惯性副区内基本符合 Kolmogorov“-5/3” 定律。研究结果验证了测风激光雷达可以较为 精确地估算湍流参数。     

Toward Robust Speech Recognition and Understanding

The principal cause of speech recognition errors is a mismatch between trained acoustic/language models and input speech due to the limited amount of training data in comparison with the vast variation of speech. It is crucial to establish methods that are robust against voice variation due to individuality, the physical and psychological condition of the speaker, telephone sets, microphones, network characteristics, additive background noise, speaking styles, and other aspects. This paper overviews robust architecture and modeling techniques for speech recognition and understanding. The topics include acoustic and language modeling for spontaneous speech recognition, unsupervised adaptation of acoustic and language models, robust architecture for spoken dialogue systems, multi-modal speech recognition, and speech summarization. This paper also discusses the most important research problems to be solved in order to achieve ultimate robust speech recognition and understanding systems. Dr. Sadaoki Furui is currently a Professor at Tokyo Institute of Technology, Department of Computer Science. He is engaged in a wide range of research on speech analysis, speech recognition, speaker recognition, speech synthesis, and multimodal human-computer interaction and has authored or coauthored over 450 published articles. From 1978 to 1979, he served on the staff of the Acoustics Research Department of Bell Laboratories, Murray Hill, New Jersey, as a visiting researcher working on speaker verification. He is a Fellow of the IEEE, the Acoustical Society of America and the Institute of Electronics, Information and Communication Engineers of Japan (IEICE). He was President of the Acoustical Society of Japan (ASJ) from 2001 to 2003 and the Permanent Council for International Conferences on Spoken Language Processing (PC-ICSLP) from 2000 to 2004. He is currently President of the International Speech Communication Association (ISCA). He was a Board of Governor of the IEEE Signal Processing Society from 2001 to 2003. He has served on the IEEE Technical Committees on Speech and MMSP and on numerous IEEE conference organizing committees. He has served as Editor-in-Chief of both Journal of Speech Communication and the Transaction of the IEICE. He is an Editorial Board member of Speech Communication, the Journal of Computer Speech and Language, and the Journal of Digital Signal Processing. He has received the Yonezawa Prize and the Paper Awards from the IEICE (1975, 88, 93, 2003), and the Sato Paper Award from the ASJ (1985, 87). He has received the Senior Award from the IEEE ASSP Society (1989) and the Achievement Award from the Minister of Science and Technology, Japan (1989). He has received the Technical Achievement Award and the Book Award from the IEICE (2003, 1990). He has also received the Mira Paul Memorial Award from the AFECT, India (2001). In 1993 he served as an IEEE SPS Distinguished Lecturer. He is the author of “Digital Speech Processing, Synthesis, and Recognition” (Marcel Dekker, 1989, revised, 2000) in English, “Digital Speech Processing” (Tokai University Press, 1985) in Japanese, “Acoustics and Speech Processing” (Kindai-Kagaku-Sha, 1992) in Japanese, and “Speech Information Processing” (Morikita, 1998) in Japanese. He edited “Advances in Speech Signal Processing” (Marcel Dekker, 1992) jointly with Dr. M.M. Sondhi. He has translated into Japanese “Fundamentals of Speech Recognition,” authored by Drs. L.R. Rabiner and B.-H. Juang (NTT Advanced Technology, 1995) and “Vector Quantization and Signal Compression,” authored by Drs. A. Gersho and R. M. Gray (Corona-sha, 1998).