新型军械装备损坏程度评估方法研究

根据新型军械装备损坏程度具有不确定性的特点,提出了基于D-S证据理论的新型军械装备损坏程度评估方法,并求出了新型军械装备损坏程度区分.通过对典型新型军械装备损坏程度的评估,验证了该方法的有效性和实用性.     

A generalized multiple layer data envelopment analysis model for hierarchical structure assessment: A case study in road safety performance evaluation

Data envelopment analysis (DEA) is a powerful analytical research tool for measuring the relative efficiency of a homogeneous set of decision making units (DMUs) by obtaining empirical estimates of relations between multiple inputs and multiple outputs related to the DMUs. To further embody multilayer hierarchical structures of these inputs and outputs in the DEA framework, which are prevalent in today’s performance evaluation activities, we propose a generalized multiple layer DEA (MLDEA) model. Starting from the input-oriented CCR model, we elaborate the mathematical deduction process of the MLDEA model, formulate the weights in each layer of the hierarchy, and indicate different types of possible weight restrictions. Meanwhile, its linear transformation is realized and further extended to the BCC form. To demonstrate the proposed MLDEA model, a case study in evaluating the road safety performance of a set of 19 European countries is carried out. By using 13 hierarchical safety performance indicators in terms of road user behavior (e.g., inappropriate or excessive speed) as the model’s input and 4 layered road safety final outcomes (e.g., road fatalities) as the output, we compute the most optimal road safety efficiency score for the set of European countries, and further analyze the weights assigned to each layer of the hierarchy. A comparison of the results with the ones from the one layer DEA model clearly indicates the usefulness and effectiveness of this improvement in dealing with a great number of performance evaluation activities with hierarchical structures.     

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.     

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。     

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.     

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.     

多效蒸发系统优化设计目标函数的建立与求解

建立了带有冷凝水闪蒸的并流多效蒸发系统优化设计新模型。该模型以整个蒸发系统的年总费用（包括加热蒸汽年费用、真空系统年费用以及蒸发器和各辅助设备的年折旧维修费用等）最小为优化目标,以生蒸汽压力、冷凝器真空度及各效有效传热温度痉为决策变量,提出一种新算法——复合形法嵌套拉格朗日乘子法和矩阵法求最优解。算例表明,生蒸汽压力、冷凝器真空度、价格参数和冷凝水闪蒸对优化结果影响显著,按新模型优化设计比常规设计可节省年费用16％左右。新算法对初值要求不高、收敛稳定性好、收敛速度快。     

IEEE802.11p下删余卷积编码译码方法的研究

应用于智能交通系统的无线接入协议IEEE802.11p,其物理层卷积编码的码率可通过对(2,1,7)卷积编码器的删余来实现。讨论了删余位置的图案和算法,分析了在删余位置插入不同哑元时维特比译码后误码率的统计特性。仿真的同时比较了固定哑元下不同码率所引入的误比特率。