基于闭凸包收缩的最大边缘线性分类器

SVM(support vector machines)是一种基于结构风险最小化原理的分类技术.给出实现结构风险最小化原理(最大边缘)的另一种方法.对线性可分情形,提出一种精确意义下的最大边缘算法,并通过闭凸包收缩的概念,将线性不可分的情形转化为线性可分情形.该算法与SVM算法及其Cortes软边缘算法异曲同工,但理论体系简单、严谨,其中的优化问题几何意义清楚、明确.

模糊控制系统建模中的边缘线性化方法

针对模糊控制系统建模中出现的变系数非线性模型提出边缘线性化方法。其手段是将某些论域上的模糊划分中模糊集的隶属函数从三角波形状改为矩形波形状,从而使变系数非线性模型转化为变系数线性模型。为了改善转化后的变系数线性模型在形式上的不完备性(即缺项现象),给出了线性模型的联合逼近方法。仿真实验表明,边缘线性化模型关于原非线性模型具有较高的逼近精度。

边缘线性化方法构造的Fuzzy系统及其逼近性能分析

给出了基于边缘线性化方法构造的Fuzzy系统输出函数的一般表达式,揭示了该方法的插值机理,证明了由其构造的Fuzzy系统输出函数可归结为插值函数的形式,在此基础上,分析了该方法所构造的Fuzzy系统的逼近误差。仿真实验表明,边缘线性化方法构造的Fuzzy系统对非线性连续函数具有很高的逼近精度。

自治Lienard系统边缘线性化简化HX表示

通过应用边缘线性化模糊推理建模方法,求解得到了自治Lienard系统的简化HX表示。利用模糊系统的插值机理得到的简化HX表示,把模糊规则转化为可逐段求解的常系数线性微分方程。相比于已有文献方法,新方法的计算时空复杂度得到极大简化。最后结合仿真实验,验证了简化方法的有效性,说明随着分段数的增加得到更高的逼近精度,而运行时间却很短。

二阶时变非线性系统的边缘线性化模糊推理建模

本文给出了二阶时变非线性系统的边缘线性化建模方法。该方法根据模糊插值机理将被控对象的模糊推理规则库依时间维度进行划分转化为变系数非线性微分方程。在每个时间间隔内,依据边缘线性化方法,将局部时空结构下的变系数非线性微分方程转化为了常系数线性微分方程,进而迁移到整体时空结构下则成为变系数线性时变微分方程。仿真实验表明,该方法具有较高的逼近精度,是对模糊推理建模的有效推广。

一种自适应的Canny边缘检测算法

针对传统Canny检测算法平滑图像时导致图像模糊及阈值选取的问题,提出一种自适应的Canny边缘检测算法。算法使用混合滤波器代替高斯滤波器对图像进行平滑去噪,结合线性边缘增强与Otsu算法改进传统的双阈值算法,避免人为设置高低阈值的局限性,提高了算法的适应性。文中设计了一系列的实验来验证算法的有效性。实验结果表明,改进算法不仅检测出了更多的弱边缘,而且检测出的图像信息更完整,连接性更好,具有更好的实用性。

基于双LPFG及嵌入式技术的双边缘滤波解调系统

设计并实现了一种基于双LPFG(长周期光纤光栅)及嵌入式技术的双边缘滤波光纤光栅传感解调系统。以双长周期光纤光栅作为线性滤波装置,利用反射FBG信号通过不同光谱特性的滤波器时输出不同光强的比值的对数算法对波长进行测算;系统采用C8051系列单片机作为处理核心,并逐一介绍了线性双边缘滤波原理、三MCU硬件设计架构、面向对象程序设计思想的软件设计架构和系统时序设计。试验表明系统能够实现稳定的FBG传感信号解调,解调系统所得线性拟合计算值与光谱仪所测波长值的均方差为10 pm,动态范围达4 nm,表明系统线性度好,精度较高,对于工程现场的波长校准与调试方面的应用具有很大意义。

机载SAR图像中机场跑道的检测

提出了一种基于A/G系数边缘检测的机场跑道检测方法.利用A/G系数作为参数来抑制SAR图像中speckle噪声的影响,采用非线性边缘检测技术和数学形态学来检测边缘,使用Hough变换检测平行直线确定跑道,结合灰度特征和边缘特征,通过区域生长生成机场跑道的结构.实验结果表明在机载SAR图像中采用A/G参数检测边缘能够有效地抑制噪声的干扰,获得较好的图像边缘,同时通过Hough变换和区域生长能够较准确的检测出机场跑道的结构.

基于MR技术的电力线路智能巡检系统

针对复杂环境下电力线路巡检系统图像分辨率与检测精度均较低的问题,提出了一种基于MR技术的电力线路智能巡检系统。基于MR技术设计了包含操作界面、综合分析、指导监督等模块的智能巡检系统整体架构,通过虚拟与现实的结合获取线路的实时图像。结合人眼的特点提出了一种线性边缘的电力线路检测方法,以进一步提高系统对图像的处理能力。基于混合现实平台对所提系统进行测试,实验结果表明,所设计的电力线路巡检系统能够在短时间内较为准确地检测出线路中存在的障碍物,且检测误差较小。

基于自适应超像素分割的点刻式DPM区域定位算法研究

为解决点刻式直接零件标志(Direct part mark,DPM)码基本单元分割困难、区域定位欠精确等问题,提出使用超像素分割和谱聚类相结合的算法,对含有DPM区域的图像进行初步分割和精确定位.首先为提高超像素分割的准确、快速和完整性,本文利用近邻传播聚类思想实现自动聚类得到超像素区域,并引入边缘置信度调整超像素边缘,形成自适应边缘简单线性迭代聚类(Adaptive edge simple linear iterative clustering,AE-SLIC)算法.该算法改进了简单线性迭代聚类(Simple linear iterative clustering,SLIC)超像素分割算法存在的未明确界定超像素区域边缘信息和分割数目无法自适应确定等问题;其次,将超像素作为谱聚类中图的顶点进行二次聚类,DPM区域内超像素因相似度高而被聚集为一类,从而完成点刻式DPM区域的精确定位.经实验测试和分析,本文算法得到的超像素分割结果在完整性、运算复杂度等方面优于常见的超像素分割算法.与基于像素点运算的传统定位算法相比,本文算法具有良好的实时性、定位准确率和鲁棒性.

60例小阴唇肥大合并阴蒂包皮过长同期整形的效果观察

目的 探讨小阴唇肥大合并阴蒂包皮过长同期整形手术的临床效果。方法 2020-2022年福建医科大学附属漳州市医院整形美容科治疗小阴唇肥大合并阴蒂包皮过长患者60例均采用先弧形切除过长的阴蒂包皮,使之转化为单纯小阴唇肥大,再行小阴唇边缘线性切除手术。术后随访观察恢复情况及患者的满意率。结果 共纳入60例患者,年龄20-45岁,平均27岁。其中单侧小阴唇肥大合并单侧阴蒂包皮肥大4例(6.7%),单侧小阴唇肥大合并双侧阴蒂包皮肥大3例(5%),双侧小阴唇肥大合并单侧阴蒂包皮肥大9例(15%),双侧小阴唇肥大合并双侧阴蒂包皮肥大44例(73.3%)。共获得55份术后6个月患者满意度调查问卷,5例失访,2例患者出现术后并发症,其中血肿1例,瘢痕增生伴明显疼痛1例,进行相应处理后,所有患者术后恢复良好。并发症发生率为3.6%(2/55),患者总体满意率94.5%(52/55)。结论 采用弧形切除过长阴蒂包皮,同时采用边缘线性切除处理小阴唇肥大,术后外观满意,并发症无增加,手术难度下降。

Kernel density estimation and marginalized-particle based probability hypothesis density filter for multi-target tracking

In order to improve the performance of the probability hypothesis density(PHD) algorithm based particle filter(PF) in terms of number estimation and states extraction of multiple targets, a new probability hypothesis density filter algorithm based on marginalized particle and kernel density estimation is proposed, which utilizes the idea of marginalized particle filter to enhance the estimating performance of the PHD. The state variables are decomposed into linear and non-linear parts. The particle filter is adopted to predict and estimate the nonlinear states of multi-target after dimensionality reduction, while the Kalman filter is applied to estimate the linear parts under linear Gaussian condition. Embedding the information of the linear states into the estimated nonlinear states helps to reduce the estimating variance and improve the accuracy of target number estimation. The meanshift kernel density estimation, being of the inherent nature of searching peak value via an adaptive gradient ascent iteration, is introduced to cluster particles and extract target states, which is independent of the target number and can converge to the local peak position of the PHD distribution while avoiding the errors due to the inaccuracy in modeling and parameters estimation. Experiments show that the proposed algorithm can obtain higher tracking accuracy when using fewer sampling particles and is of lower computational complexity compared with the PF-PHD.

Effects of electric field fringe on performances of grid strip capacitive MEMS devices

Sensing structure of grid strip capacitors can be used in the design of capacitive micro-electromechanical system （MEMS） resonators, accelerometers etc. A grid strip structure consists of nonentirely overlap plates so that the capacitor fringe effect cannot be neglected in the design. Electricmagnetic Finite Element Method （FEM） software ANSOFF-Maxwell is employed to analyze the fringe effect of a grid strip capacitor. The analysis includes capacitance changes with change of overlap length, overlap width, plate thickness, grid strip density etc. The results show that fringe effect leads to non-linear change of grid strip capacitance with the change of overlap length and width, that the capacitance increases with the increase of grid strip width and plate thickness, and that sensitivity can be improved through the increase of grid strip density in the condition of identical total overlap area, but linearity is reduced.

A numerical study of the effect of the marginal sea on coastal upwelling in a non-linear inertial model

Inertia theory and the finite element method are used to investigate the effect of marginal seas on coastal upwelling. In contrast to much previous research on wind-driven upwelling, this paper does not consider localized wind effects, but focuses instead on temperature stratification, the slope of the continental shelf, and the background flow field. Finite element method, which is both faster and more robust than finite difference method in solving problems with complex boundary conditions, was developed to solve the partial differential equations that govern coastal upwelling. Our results demonstrate that the environment of the marginal sea plays an important role in coastal upwelling. First, the background flow at the outer boundary is the main driving force of upwelling. As the background flow strengthens, the overall velocity of cross-shelf flow increases and the horizontal scale of the upwelling front widens, and this is accompanied by the movement of the upwelling front further offshore. Second, temperature stratification determines the direction of cross-shelf flows, with strong stratification favoring a narrow and intense upwelling zone. Third, the slope of the continental shelf plays an important role in controlling the intensity of upwelling and the height that upwelling may reach: the steeper the slope, the lower height of the upwelling. An additional phenomenon that should be noted is upwelling separation, which occurs even without a local wind force in the nonlinear model.

Research on pulse edge extraction by using nonlinear optical fiber-loop mirror

The output characteristics of nonlinear optical fiber-loop mirror are analyzed in detail when the pump pulses with the same wavelength are input in the both directions for recovering the clock component of the signal spectrum.It is found that the double output pulses are produced in the transmission port of the nonlinear optical fiber-loop mirror.The output pulse peaks are located in time domain at the rising and falling edges of the pump pulses.It is demonstrated that the rising and falling edges of the pump pulse can be directly extracted by this method.Through numerical simulation,the effects of therelative delay of pump pulses and the dispersion of fiber on the characteristics of output pulses are studied.By spectrum analysis,it is found that the spectrum of output pulse sequence includes the clock components of the pump pulse sequence,and a new idea is provided for all-optical clock extraction.