Tied factors analysis for high-dimensional image feature extraction and recognition application

Feature extraction from images, which are typical of high dimensionality, is crucial to the recognition performance. To explore the discriminative information while depressing the intra-class variations due to variable illumination and view conditions, we propose a factor analysis framework for separate “content” from “style,” identifying a familiar face seen under unfamiliar viewing conditions, classifying familiar poses presented in an unfamiliar face, estimating age across unfamiliar faces. The framework applies efficient algorithms derived from objective factor separating functions and space mapping functions, which can produce sufficiently expressive representations of feature extraction and dimensionality reduction. We report promising results on three different tasks in the high-dimensional image perceptual domains: face identification with two benchmark face databases, facial pose classification with a benchmark facial pose database, extrapolation of age to unseen facial image. Experimental results show that our approach produced higher classification performance when compared to classical LDA, WLDA, LPP, MFA, and DLA algorithms.     

基于SiPESC.OPT的透平低压排汽缸优化设计

针对提高蒸汽透平机组效率的需求,基于SiPESC.OPT集成软件平台,集成SolidWorks,ICEM和CFX等多个软件构建透平低压排汽缸优化设计系统.系统采用参数化建模、三维黏性流体分析和蚁群算法等多种手段,对某型号透平低压排汽缸模型进行优化设计.结果表明,优化后平均压力恢复因数提升188.31%,出口气流不均匀分布因数明显下降.该优化设计系统能有效提高透平低压排汽缸气动性能.     

RFID和ETC技术在门禁系统中的应用

介绍了无线射频识别和电子不停车收费的基本概念、工作原理及相关技术。分析了当前车库门禁系统和楼宇门禁系统在实际应用中存在的问题。借鉴高速公路电子不停车收费系统的成熟应用经验,将该电子不停车收费系统应用到当前车库门禁系统和楼宇门禁系统中,以实现门禁系统的智能化和高效化。     

多频连续波雷达数据实时压缩算法设计

随着测试参数种类增加,测试环境越来越复杂,海量雷达数据与有限存储容量之间的矛盾日益明显,实时数据采集与压缩技术可以缓解这一矛盾的加剧.雷达数据采集系统采取了基于FPGA的LZW实时无损压缩算法.该算法能够实现追求采集信号精度的同时减低算法难度,已成功应用于某飞行测试实验,性能指标满足应用要求.     

基于DT-MRI数据的心肌纤维可视化及分析系统研究与实现

核磁共振弥散张量成像（Diffusion Tensor Magnetic Resonance Imaging,DT-MRI）是近年来提出的一项新的医学影像技术。通过利用核磁共振技术测量细胞内多个方向上水分子弥散运动的特征,可以全面充分研究活体组织微细结构。基于犬心室的DT-MRI数据集开展了三维心肌纤维结构的可视化方法及其可视化系统设计与实现的研究。首先利用阈值滤波、中值滤波和邻域平均法对原始DT-MRI数据进行去噪预处理,然后利用体绘制技术、图元显示法和纤维跟踪法对犬心室的DT-MRI数据进行可视化。最后对基于DT-MRI数据的心肌纤维可视化应用进行了详细的需求分析和系统设计,基于VTK（Visualization Toolkit）实现一个DT-MRI数据的心肌纤维可视化和分析系统。实验结果表明该系统具有良好的交互性,为研究心脏结构提供了一个有力可视化工具。     

基于IMAN的产品数据管理的实现

该文首先提出了上海家化包装部对 ＰＤＭ的应用需求,在此基础上讨论了包装部 ＰＤＭ系统的功能要求、体系结构、硬件配置和开发技术。最后,根据ＰＤＭ实施的具体实践,分析了 ＰＤＭ实施的效益和障碍。     

图像逆映射与融合技术

对图像逆映射与融合技术作了系统研究.通过把图像映射关系统一为位移场表示,详细讨论了消除图像缝隙的逆映射算法.给出了多张图像的迭代融合算法.实验表明,混合使用图像逆映射算法和迭代融合算法可以获得满意的结果.     

电阻测长法在锚杆质量检测中的应用

本研究课题来源于洛阳邦强机械有限公司的项目合作,主要是针对锚杆质量检测问题。本文主要介绍了电阻测长法在锚杆长度检测中的应用,提出一种新的锚杆长度测量方法,具有方便、快捷、无损等优势,并在实际工程应用中得到了充分的验证。     

Decentralized Iterative Learning Control to Large-Scale Industrial Processes for Nonrepetitive Trajectory Tracking

In the procedure of steady-state hierarchical optimization with feedback for a large-scale industrial process, it is usual that a sequence of step set-point changes is carried out and used by the decision-making units while searching the eventual optimum. In this case, the real process experiences a form of disturbances around its operating set-point. In order to improve the dynamic performance of transient responses for such a large-scale system driven by the set-point changes, an open-loop proportional integral derivative-type iterative learning control (ILC) strategy is explored in this paper by considering the different magnitudes of the controller's step set-point change sequence. Utilizing the Hausdorff-Young inequality of convolution integral, the convergence of the algorithm is derived in the sense of Lebesgue-P norm. Furthermore, the extended higher order ILC rule is developed, and the convergence is analyzed. Simulation results illustrate that the proposed ILC strategies can remarkably improve the dynamic performance such as decreasing the overshoot, accelerating the transient response, shortening the settling time, etc.