Neural network based non-invasive method to detect anemia from images of eye conjunctiva

Detection of anemia can be done by examining the hemoglobin concentration level in the blood using complete blood count, which is an invasive, time-consuming, and costly technique. Preliminary methods for detecting anemia include examining the color of the palpebral conjunctiva, which is a non-invasive method, but color perception may vary from person to person. This study aims to develop a computerized non-invasive technique for anemia detection. We propose a novel machine learning model using the artificial neural network to detect anemic patients from the images of eye conjunctiva. Since limited and small dataset has been used in the earlier approaches, this may cause over fitting of the model. We have improved the number of available training images using image augmentation techniques. To standardize a non-invasive method, we have used computer vision algorithms for preprocessing and feature extraction. This article derives the backpropagation rules mathematically for adjusting the weights for the proposed neural network model. After hyper parameter tuning and using the mathematically derived backpropagation rules, the model was able to achieve the best accuracy of 97.00% with sensitivity 99.21% and specificity 95.42% on the created dataset.     

超Lorenz 混沌系统的同步及其在保密通信中的应用

为了加密并准确解密传输的信息,将超Lorenz混沌系统的同步应用在保密通信中。基于线性稳定性定理,对超五阶Lorenz系统实现了超混沌系统的输出反馈控制同步,设计了超混沌系统的输出反馈控制器,实现了响应系统与驱动系统的同步,并将同步的混沌系统应用到混沌掩盖保密通信中。仿真结果表明,超Lorenz混沌系统能够快速达到同步,且在混沌掩盖通信方案中,有用信号可以有效地在接收端恢复出来。     

特超级双相不锈钢的发展现状及趋势

概述了世界范围内特超级双相不锈钢的发展现状及趋势,重点对特超级双相不锈钢的成分设计思路、组织特点进行了分析,并结合其性能优势介绍了国外在相关领域的应用范例。强度更高、耐蚀性能更优的特超级双相不锈钢正在成为新一代的双相不锈钢材料,其将在海洋工程、石油石化、化工等领域获得广泛的应用。     

基于机器视觉的齿形结构齿顶圆检测方法

齿形结构作为传动装置的关键零部件,齿顶圆的精确检测是后续装配的重要依据。在齿顶圆的视觉测量中,传统图像处理方法检测精度较低,齿形结构倾角过大时轮齿存在遮挡导致算法的鲁棒性差。针对上述问题,现提出基于机器视觉的齿形结构齿顶圆检测方法。首先基于自适应阈值的曲率尺度空间(CSS)技术对轮齿进行亚像素角点检测,其次采用超最小二乘法拟合齿顶椭圆,最后通过补偿准偏心误差优化椭圆参数。实验结果表明,该方法不仅可以提取包含全部轮齿图像的齿顶圆,对于轮齿存在遮挡的图像也能进行高精度检测,同时能够补偿透镜畸变产生的椭圆准偏心误差,齿顶圆圆心测量精度为0.056 mm,法向量测量精度为0.068°,满足齿形结构视觉测量要求。     

Screening of phenylalanine ammonia lyase in plant tissues,and retention of activity during dehydration

BACKGROUND: Oral therapy with phenylalanine ammonia lyase (PAL), naturally encapsulated in plant cells, may provide a potential alternative treatment for hyperphenylalaninemic patients, including those with phenylketonuria. Therefore different sources of plant tissue were investigated for PAL activity. RESULTS: Enzyme activity was highest in grain seedlings, with maximal enzyme activity in 7‐day‐old red spring wheat (Triticum aestivum L.) seedlings. The PAL activities of leaves and roots/endosperm of wheat seedlings were 11.90 ± 2.64 and 6.48 ± 1.59 µmol h^?1 g^?1 dry weight respectively. Three PAL‐related polypeptides with molecular weights of 74, 83 and 103 kDa were identified in wheat seedling leaf tissues, while only the 74 kDa polypeptide was detected in root/endosperm tissues. Dehydration was investigated as a method of concentrating PAL in wheat seedlings. Freeze‐drying was found to retain the most PAL activity (>90% recovery on a dry weight basis) compared with air drying and vacuum microwave drying for both leaf and root/endosperm samples. CONCLUSION: This study has led to a better understanding of PAL activity and stability in plant tissues and provides the basis for developing a natural plant preparation as a dietary supplement for the treatment of hyperphenylalaninemia. Copyright © 2007 Society of Chemical Industry     

Data Clustering Method Using a Modified Gaussian Kernel Metric and Kernel PCA

Most hyper‐ellipsoidal clustering (HEC) approaches use the Mahalanobis distance as a distance metric. It has been proven that HEC, under this condition, cannot be realized since the cost function of partitional clustering is a constant. We demonstrate that HEC with a modified Gaussian kernel metric can be interpreted as a problem of finding condensed ellipsoidal clusters (with respect to the volumes and densities of the clusters) and propose a practical HEC algorithm that is able to efficiently handle clusters that are ellipsoidal in shape and that are of different size and density. We then try to refine the HEC algorithm by utilizing ellipsoids defined on the kernel feature space to deal with more complex‐shaped clusters. The proposed methods lead to a significant improvement in the clustering results over K‐means algorithm, fuzzy C‐means algorithm, GMM‐EM algorithm, and HEC algorithm based on minimum‐volume ellipsoids using Mahalanobis distance.     

Eigensolution of specially structured matrices with hyper‐symmetry

Recently, four canonical forms have been developed and applied to the dynamics and stability analysis of symmetric frames. In this paper, hyper‐symmetric matrices and specially structured matrices are defined and efficient methods are proposed for the eigensolution of such matrices. Applications are extended to hyper‐graphs and specially structured graphs. Simple methods are developed for calculating the eigenvalues of the Laplacian matrices of such graphs. The developments presented in this paper can also be considered as generalization of Form II and Form III symmetry, previously defined by the authors. Copyright © 2006 John Wiley & Sons, Ltd.     

高浓度泥浆输送管道阻力及输送能力研究

选择典型堤防淤筑工程与典型管道泥浆输送施工设备，采用现场观测方法对泥浆管道输送能力进行了试验研究。根据实测管道压力、流量、含沙量等资料进行高含沙水流阻力分析，取得了受雷诺数、含沙量影响的管道泥浆阻力系数变化规律，给出了阻力系数与综合泥浆因子间相关关系。在此基础上进一步分析了影响管道输送能力的主要因素，研究了管道泥浆流量与保持泥沙不沉积的有效输送距离间的制约关系。根据实际工程中管径、泥沙含量与颗粒组成对流量的影响，提出了能全面反映管道阻力特性的综合排距(有效输送距离)概念，建立了泥浆管道特征流量与综合排距的关系式，可供泥浆管道设计与泥浆管道施工定额编制时参考使用。     

利用高频磁场制备自生梯度复合材料的熔体温度选择

研究了通过在熔体凝固过程中的不同温度范围施加高频磁场制备自生梯度复合材料的工艺.对于Al/Mg2Si/Si自生梯度复合材料,近似计算及实验结果表明:Al Mg2Si二元共晶区(555～595C)是施加高频磁场的最佳温度范围,此时处于低粘性熔体中的增强颗粒容易被外加电磁阿基米德力分离.高频磁场施加温度过高或过低,均不易使增强颗粒产生梯度分布效果.     

基于复合超混沌系统且与明文相关联的图像加密*

为了提高加密系统的抗攻击能力和加密安全性,分析了现有图像加密的方法,提出一种改进的图像加密方法.对Clifford超混沌系统和Logistic混沌系统进行嵌套组合,产生了具有更好特性的Cli-Log混沌系统,用于图像的位置置乱;在Chua超混沌系统的龙格库塔解法中插入参数,生成混沌序列与图像像素值进行异或操作,实现加密...