Statistical properties of interparticle/void distance for amorphous plastics toughening

Statistical properties of interparticle/void distance (ID) for various particle/void and dispersion types are studied in relation with toughening of plastics using computer‐generated three‐dimensional models. Particle/void size groups adopted were either of constant diameter or of log‐normal distribution. Particles/voids were dispersed at uniform‐random or flocculated with multiple clusters. It was found that IDs are (a) of approximately Gaussian distribution for particles/voids of either a constant diameter or a log‐normal distribution, when they are dispersed at uniform‐random, but (b) not of Gaussian distribution for particle/void sizes of bimodal log‐normal distribution, nor for flocculated log‐normal distribution of particles/voids dispersed with multiple clusters. It was also found that the degree of ID uniformity for a single group of log‐normally sized particles/voids is not sensitive to standard deviation of particle/void size. Mixing effect on ID properties using two groups of log‐normally distributed particles/voids with similar mean particle/void diameters was simulated. It was found that, when a significant amount (36 vol %) of particles/voids of a small mean and standard deviation of ID was mixed with a group of particles/voids of a large mean and standard deviation of ID, mean and standard deviation of ID for the mixture were not substantially lower than those of the group of particles/voids of the large mean and standard deviation of ID. It was also found that the degree of ID uniformity for the mixture of the two groups was lower than those of individual groups, indicating that the mixing has deleterious effect on toughening. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 101: 4256–4262, 2006     

纹理豪斯多夫距离在人脸识别算法中的应用

很多经典的人脸识别方法难以适应姿势变化及人脸错位的情形。为了解决这一问题,提出一种基于纹理豪斯多夫距离(THD)的人脸识别算法。将人脸图像的空间量及纹理特征相结合,使其在深入的头部转动和人脸错位中都有很高的容错度。在FERET及Yale两大人脸数据库的实验表明,与其他经典的方法相比较,所提出的方法取得了更好的识别效果。     

颜色和形状特征分离和局部整合的研究

特征绑定是特征分离和整合的过程。为探究视觉系统处理图像颜色和形状特征的动态绑定过程,提出基于任务的独立成分分析(T_ICA)和最短距离聚类相结合的方法,并将其应用于任务态下采集的脑功能(fMRI)数据,实现颜色和形状处理功能的分离和局部整合。结果表明,T_ICA将f MRI数据分离成彼此独立的特征成分,其中包含有目标特征成分和其他成分;聚类方法实现了颜色功能和形状功能的局部整合,形成了两个分别处理颜色和形状的基本感知系统。通过研究人脑视觉特征绑定机制为计算机视觉捆绑的研究与应用提供一定的参考价值。     

国产短程纺牵联合机纺制烟用聚丙烯丝束的工艺研究

用国产SLHP001短程纺牵联合机和SLHP 101丝束加工联合机,通过选择合理生产工艺,着眼于提高纤维的刚性和膨松性,研制出了高质量的烟用聚丙烯丝束。不加胶粘剂成型的滤棒(120mm),圆周稳定,硬度达到88%—89.5%,吸阻为3.2-3.4kPa,产出率达到125万支/t,比国内同类产品高15—20万支/t。     

我国二氧化硫氧化制硫酸的钒催化剂现状和展望

从钒催化剂的生产、市场、开发、质量等方面分析我国二氧化硫氧化制硫酸催化剂的现状，指出我国钒催化剂与国外产品存在的差距和原因，提出发展钒催化剂的对策。     

Failure mode and effects analysis using intuitionistic fuzzy hybrid weighted Euclidean distance operator

Failure mode and effects analysis (FMEA) has shown its effectiveness in examining potential failures in products, process, designs or services and has been extensively used for safety and reliability analysis in a wide range of industries. However, its approach to prioritise failure modes through a crisp risk priority number (RPN) has been criticised as having several shortcomings. The aim of this paper is to develop an efficient and comprehensive risk assessment methodology using intuitionistic fuzzy hybrid weighted Euclidean distance (IFHWED) operator to overcome the limitations and improve the effectiveness of the traditional FMEA. The diversified and uncertain assessments given by FMEA team members are treated as linguistic terms expressed in intuitionistic fuzzy numbers (IFNs). Intuitionistic fuzzy weighted averaging (IFWA) operator is used to aggregate the FMEA team members’ individual assessments into a group assessment. IFHWED operator is applied thereafter to the prioritisation and selection of failure modes. Particularly, both subjective and objective weights of risk factors are considered during the risk evaluation process. A numerical example for risk assessment is given to illustrate the proposed method finally.     

Gradient orientation pattern matching with the Hamming distance

This paper presents a novel pattern matching technique that is robust to illumination changes and the occlusion problem. The technique is based on the matching of gradient orientations in place of traditional image features such as intensities or gradients. Gradient orientations depend on the texture in an image. They are known to be insensitive to changes of image intensities that are often caused by time-varying illuminations or the auto-gain control (AGC) function of the camera. Moreover,the proposed method employs a voting strategy in the process of matching gradient orientations. The method works remarkably well even when a large part of the pattern is occluded with a foreign object. Consequently, the proposed method is robust to both irregular lighting conditions and the occlusion problem.     

基于灰度形态重构的颗粒图像分割方法

提出了一种基于距离变换、形态重构和分水岭算法的图像分割算法。将一幅图像通过距离变换得到距离灰度图,与形态重构算法结合,得到颗粒图像的标识点图,用标识点图对距离灰度图进行分割,再用分水岭变换对分割后的距离灰度图进行变换。试验表明,该算法能有效合理地解决粘连或者重叠颗粒等物体的分割。     

水流掺气对明流泄洪洞及挑坎水力特性的影响

水流充分掺气可以避免高流速泄洪设施发生空蚀,但也会改变相关水力特性。通过对某大坝泄洪洞掺气设施水力模型试验及关于水流表面自掺气发生条件的相关分析,提出了在全程流速超过38 m/s,长度达550 m的明流洞内仅布置一级掺气设施的建议,较通常情况减少了两级;并针对泄洪洞出流方向与河道流向交角达60°的特点,研究提出了一种大差动异型鼻坎消能工。水工模型试验成果表明,其挑流水舌沿河道纵向扩散良好,水舌外缘与河道对岸保持了30 m以上的安全距离。该泄洪洞建成后经历了高水头、较长时间的泄洪运行,明流洞和鼻坎消能工均无空蚀发生,但挑坎水舌却冲刷到对岸边坡。