基于理想灰关联投影的电子战系统作战效能评估比较模型

针对电子战系统作战效能的评估比较问题,基于灰色系统理论和矢量投影方法,提出了一种新的基于理想灰关联投影的分析模型和算法,介绍了该方法的基本原理和一些基本概念,建立了系统作战效能与正、负理想作战效能之间接近程度的分析模型,总结了用该方法进行比较分析的一般步骤;并提出了一种基于效能区分度的比较灵敏度分析方法。实际算例验证了所提作战效能比较分析模型和比较灵敏度分析方法的可行性和有效性,该方法为电子战系统作战效能的评估比较提供了一种新思路。     

计算机设计软件NX6.0几种复合建模方法

NX软件采用复合（混合）建模技术,本文以“敏于行”为宗旨,运用建模实战领会NX复合建模;本文提出了几种建模方法,分享了NX复合建模的乐趣。     

Low computational complexity family of affine projection algorithms over adaptive distributed incremental networks

This paper presents the problem of distributed estimation in an incremental network based on the family of affine projection (AP) adaptive algorithms. The distributed selective partial update normalized least mean squares (dSPU-NLMS), the distributed SPU-AP algorithm (dSPU-APA), the distributed selective regressor APA (dSR-APA), the distributed dynamic selection of APA (dDS-APA), dSPU-SR-APA and dSPU-DS-APA are introduced in a unified way. These algorithms have low computational complexity feature and close convergence speed to ordinary distributed adaptive algorithms. In dSPU-NLMS and dSPU-APA, the weight coefficients are partially updated at each node during the adaptation. In dSR-APA, the optimum number of input regressors is selected during the weight coefficients update. The dynamic selection of input regressors is used in dDS-APA. dSPU-SR-APA and dSPU-DS-APA combine SPU with SR and DS approaches. In these algorithms, the weight coefficients are partially updated and the input regressors are optimally/dynamically selected at every iteration for each node. In addition, a unified approach for mean-square performance analysis of each individual node is presented. This approach can be used to establish a performance analysis of classical distributed adaptive algorithms as well. The theoretical expressions for stability bounds, transient, and steady-state performance analysis of various distributed APAs are introduced. The validity of the theoretical results and the good performance of dAPAs are demonstrated by several computer simulations.     

基于整体变分降噪算法下的多频率超声衍射层析成像

 根据傅立叶衍射投影定理,不同频率超声波得到的投影数据的傅立叶变换分布在复平面为不同半径的圆弧,提出了多频率超声衍射层析成像思想,并进行了实验研究,重建的时间比单频率法短约70%.由于多频率投影数据傅立叶变换比单频率法在复平面上分布更加不均匀,故重建的噪声也更大,整体变分法将图像恢复的数学模型转化为带有整体变分正则化项的能量泛函问题,采用变分原理将其中的最小化问题转为偏微分方程的求解.降噪后的多频率超声图像的误差比降噪前的图像小约50%.     

基于双树小波通用隐马尔可夫树模型的图像压缩感知

标准压缩感知图像重构仅利用图像小波系数具有稀疏性的先验知识,未能利用小波系数的结构分布特性。利用基于模型压缩感知重构思想,将能有效描述图像小波系数分布特性的隐马尔可夫树(HMT)模型引入到图像的压缩感知重构。经过理论推导,将基于HMT模型的重构转化为型如标准图像压缩感知重构的优化问题,并提出基于贝叶斯优化的凸集交替投影法进行求解。为进一步提高重构质量和速度,引入了双树小波域通用HMT (uHMT)模型及改进的uHMT (iuHMT)模型代替小波域HMT模型。实验结果表明,基于双树小波域iuHMT模型的重构图像的平均峰值信噪比(PSNR)比uHMT模型高0.97 dB.     

柔性投影显示屏增塑机理及规律的研究

柔性投影显示屏具有可弯曲、易携带、耐冲击等优点,用途非常广泛。对柔性投影显示屏的增塑机理进行了研究,找出了增塑剂邻苯二甲酸二丁酯合适的添加量,发现了增塑剂含量与塑性-脆性转变规律,为制备柔性投影显示屏提供了理论依据。     

Enhanced NIR Calibration for Wort Fermentability Using Orthogonal Signal Correction

An enhanced method for the calibration of Near Infra Red (NIR) reflectance spectra to wort fermentability is proposed using a signal pre‐processing algorithm called orthogonal signal correction (OSC). Pre‐processing NIR spectra prior to partial least squares Project to Latent Structures (PLS) regression modelling is becoming commonplace in multivariate calibration. A set of twenty wort samples subjected to a replicated 2² factorial design with a centre point and nine production samples were used to construct multivariate prediction models. The experimental design factors were the mash tun saccharification temperature and time used to purposely provide a sample set with significant leverage in the fermentability responses. Calibration PLS models for both wort apparent degree of fermentation (ADF) and final attenuation apparent extract (Final AE) values with and without OSC corrected spectra were compared demonstrating significant improvements in prediction capability with the prior (Q² = 0.90 versus Q² = 0.28). The OSC algorithm removed almost 60% of the variance in the NIR spectra, which was independent or orthogonal to the fermentability measures. By cleaning up the spectra, the standard errors of prediction (SEP) for ADF and Final AE were improved by 50 and 90%, respectively, illustrating not only the enhancement in calibration but also the aptness for process control applications. Various model validation tests, including an external validation example and random response permutation, verify the validity of the models using OSC. Furthermore, interpretation of the important wavelengths related to wort fermentability is provided and demonstrates that some key wavelengths are related to both carbohydrate overtones as well as nitrogen functional groups. The application of OSC prior to developing calibration models with NIR demonstrates promising results for brewers interested in real time control of wort fermentability.     

投影寻踪分类模型在造纸工业经济效益综合评价中的应用

提出了一种有效和通用的模型——投影寻踪分类模型。采用基于实码的加速遗传算法寻找最优的投影方向,同时用投影方向信息研究了各因子对我国造纸工业经济效益评价的影响水平,取得了符合客观实际的分类结果。