Critical area computation for real defects and arbitrary conductor shapes

In current critical area models, it is generally assumed the defect outlines are circular and the conductors to be rectangle or the merger of rectangles. However, real defects and conductors associated with optimal layout design exhibit a great variety of shapes. Based on mathematical morphology, a new critical area model is presented, which can be used to estimate the critical area of short circuit, open circuit and pinhole. Based on the new model, the efficient validity check algorithms are explored to extract critical areas of short circuit, open circuit and pinhole from layouts. The results of experiment on an approximate layout of ${4\times 4}$ shifts register show that the new model predicts the critical areas accurately. These results suggest that the proposed model and algorithm could provide new approaches for yield prediction.     

Morphological study of the localized growth of materials in dielectric barrier discharge

The localized growth of materials has been realized in a dielectric barrier discharge reactor in the mixture of acetylene and argon in previous work. In this paper, the morphology of the materials synthesized in the process is studied. The results indicate that the polymer's structure consists of three layers. The layer near the substrate is homogeneous with thickness of several micrometres; the middle layer is composed of dense bulges with height of about more than 10μm in average. The distance between two neighbouring bulges is about 230μm; the top layer is made up of a few large columns with the height up to 2mm, and with the average distance of about 3.5mm. The growth of the three layers corresponds to three types of discharge. The discharge mechanism is analysed through studying the morphology of the polymer. It can be deduced from the morphology that the first and second discharge phases should belong to the Townsend breakdown, and the last discharge phase should be explained on the basis of the streamer mechanism.     

Effects of Ga-flux on Optical Properties and Morphology of GaN Grown via Molecular Beam Epitaxy

A series of GaN layers was grown on sapphire (0001) substrates under various growth conditions by means of the molecular beam epitaxy (MBE) method, the optical characteristics and surface morphologies of the samples were studied. The results show that the line width of the GaN emission gradually decreases and the peak shifts under the Ga-rich condition by increasing the Ga-flux on keeping all other growth conditions unchanged. It has been also found that the resulted morphology is directly related to the Ga-flux.     

基于完备格的模糊数学形态学

数学形态学被广泛应用于信号与图像处理。本文在完备格的框架下,利用模糊逻辑运算及其伴随,给出模糊数学形态学运算的定义,并深入讨论了这些运算的性质。特别是,由这种途径定义的模糊形态学,模糊闭和模糊开具有很好的性质。本文还探讨了模糊形态学运算和古典形态学运算之间的关系。     

显齿蛇葡萄生态环境和土壤条件的研究

对显齿蛇葡萄Ampelopsis grossedentata(Hand-Mazz)W.T.Wang的形态学特性、生态环境和土壤条件进行了调查、分析、研究,为显齿蛇葡萄的开发利用和人工栽培提供了科学依据。     

胭脂鱼消化道形态与组织学结构特征

为了解胭脂鱼消化道结构特点与其食性的相关性, 采用解剖及石蜡切片技术观察分析了胭脂鱼消化道形态及组织学结构特征. 结果显示 胭脂鱼消化道中无胃, 主要由口咽腔、食道及肠组成. 口咽腔内具短小的舌, 食道粗短, 肠道较长且有3个盘曲, 肠指数为2.31±0.10. 口咽腔表面被覆复层扁平上皮, 内分布有较多味蕾, 起食物的选择和甄别作用. 食道和肠道均由黏膜层、黏膜下层、肌层和浆膜层构成. 食道肌层发达, 黏膜层上皮内有较多杯状细胞, 主要起食物的润滑和过渡作用; 肠道是胭脂鱼消化道行使消化吸收功能的主要部位, 其黏膜层上皮为单层柱状上皮, 内有杯状细胞分布, 游离面具明显的纹状缘, 且前、中肠的肠径、肌层厚度和黏膜褶皱高度均显著高于后肠, 表明前、中肠可能具有更强的消化吸收作用. 胭脂鱼消化道形态及组织学结构特点与其杂食食性相适应.     

内侧腓肠肌-跟腱复合体形态学和力学特性的性别差异研究

旨在探讨体内侧腓肠肌-跟腱复合体的形态学和力学特性的性别差异。招募并选取无训练经历且无规律运动习惯的健康男性和女性各18名。使用超声系统和数字化触诊仪分别测量或间接计算内侧腓肠肌和跟腱的形态学和力学特性。采用独立样本t检验以及Mann-Whitney U检验分析内侧腓肠肌和跟腱的形态学和力学特性的性别差异。结果表明：相比于女性，男性的内侧腓肠肌羽状角、厚度均更大，但是肌束长度无显著性别差异；相比于女性，男性的跟腱长度更长且跟腱横截面积更大；相比于女性，男性的内侧腓肠肌垂直刚度较大，对数衰减值较小；跟腱的垂直刚度和对数衰减值无显著性别差异。据此，内侧腓肠肌-跟腱复合体的形态学和力学特性具有显著性别差异。     

高功率毫米波辐照对秀丽线虫行为学和细胞形态学的影响

 采用角锥喇叭天线,使用不同输出平均功率的毫米波激光辐照秀丽线虫,采用实时显微摄像系统记录线虫行为学变化,并使用体视显微镜观察线虫细胞形态学变化。受照射后自由活动的秀丽线虫能够快速逃离高功率毫米波的辐照区域。当受输出平均功率为10 W和12 W辐照后,线虫先后出现运动速度增加、运动速度减慢直至身体僵直不动的变化过程。当输出平均功率为5 W时,线虫出现热耐受现象。细胞形态学观察结果显示:辐照后的线虫腹中卵细胞核结构出现不同程度的异常。高功率毫米波辐照可显著影响线虫的行为学特征及细胞形态学,同时说明秀丽线虫是可适用于高功率毫米波生物效应研究的模式生物之一。     

基于形态学的复杂背景目标检测算法的研究

复杂背景下目标检测存在诸多困难,主要为背景对目标检测的干扰,大量噪声存在导致传统导数边缘检测方法的失效等。针对上述两点,提出了分割区域图像、利用形态学方法检测目标的新算法。首先利用目标与背景灰度差异性来确定目标的大致区域,将其分割出来,然后再结合多结构元素法进行目标的精确检测。通过与原图像分割、聚类算法分割实验比较,该算法具有较好的抗干扰性和抗噪性能。