Employing optimized combinations of one-class classifiers for automated currency validation

Automated currency validation requires a decision to be made regarding the authenticity of a banknote presented to the validation system. This decision often has to be made with little or no information regarding the characteristics of possible counterfeits as is the case for issues of new currency. A method for automated currency validation is presented which segments the whole banknote into different regions, builds individual classifiers on each region and then combines a small subset of the region specific classifiers to provide an overall decision. The segmentation and combination of region specific classifiers to provide optimized false positive and false negative rates is achieved by employing a genetic algorithm. Experiments based on high value notes of Sterling currency were carried out to assess the effectiveness of the proposed solution.     

Quadtree-based genetic algorithm and its applications to computer vision

Many computer vision problems can be formulated as optimization problems. Presented in this paper is a new framework based on the quadtree-based genetic algorithm that can be applied to solve many of these problems. The proposed algorithm incorporates the quadtree structure into the conventional genetic algorithm. The solutions of image-related problems are encoded through encoding the corresponding quadtrees, and therefore, the 2D locality within a solution can be preserved. Examples addressed using the proposed framework include image segmentation, stereo vision, and motion estimation. In all cases, encouraging results are obtained.     

A global output-feedback controller for stabilization and tracking of underactuated ODIN: A spherical underwater vehicle

This paper presents a method to design an output-feedback controller that simultaneously solves global asymptotic stabilization and tracking of an underactuated omni-directional intelligent navigator—a spherical underwater vehicle moving in a horizontal plane (i.e. at a constant depth). The vehicle does not have a sway actuator and has only position and orientation measurements available. The control development is based on Lyapunov's direct method, backstepping technique and use of interconnected structure of the vehicle dynamics. Numerical simulations demonstrate the results.     

Adaptive switching supervisory control of nonlinear systems with no prior knowledge of noise bounds

The problem of controlling nonlinear noisy systems affected by parametric uncertainties is approached via the introduction of a supervisor which, whenever needed, switches on, in feedback to the plant, a controller selected from a finite set of predesigned controllers. A Lyapunov-based falsification criterion allows one to ensure robust stability in the presence of uncertain constant parameters and exogenous bounded disturbances. Simulations are discussed in order to illustrate the merits of the proposed algorithms.     

现代电子产品焊接质量的检测技术

介绍了现代电子产品焊接质量的检测技术,以及用于检查焊点质量和组装板(SMA)功能的测试仪器的工作原理及测试能力.目前常见和广泛使用的焊接质量检测方法是人工目测检查,其主要问题是其主观性,只能用来检测电子元件的形状、尺寸、颜色、表面特征及焊点的外观质量;自动光学检测(AOI)可以在整个过程中发现和纠正缺陷,但只是外在的焊点缺陷;激光/红外线组合式检测系统、X射线检测系统可以分析焊点微米级水平的缺陷,能找出其他检测所不能可靠地发现的缺陷,包括空洞、焊点形状差和冷焊锡点等;另外,X射线检测系统能一次测试单面或双面电路,准确地定位缺陷,获取工艺参数,例如锡膏厚度等.     

Analysis and comparison of two-dimensional permanent-magnet arrays for planar motor

This paper investigates three kinds of permanent-magnet arrays used in planar motors with polarity centers distributed in the lattices of a matrix. The magnetic field of every kind of magnet array is analyzed by analytical methods. First, we give a Laplace equation of magnetic scalar potential and a series of boundary conditions. Then, we derive the analytical expressions of magnet field strength and magnet flux density in the air gap of each kind of magnet array by the method of separation of variables. Finally, we compare the three types of magnet arrays on the basis of the analytical solutions.     

Frequency domain identification of Wiener models

This paper proposes a frequency domain algorithm for Wiener model identifications based on exploring the fundamental frequency and harmonics generated by the unknown nonlinearity. The convergence of the algorithm is established in the presence of white noise. No a priori knowledge of the structure of the nonlinearity is required and the linear part can be nonparametric.     

SDS/正戊醇/水体系的液晶研究

在 2 5℃测定了十二烷基硫酸钠 (SDS) /正戊醇 /水三元体系的相平衡 ,确定了液晶区域的边界范围。在液晶区域内选取一系列样品点 ,用差示扫描量热法 (DSC)和2 HNMR与液晶照片对照 ,研究了该体系的液晶结构特点。结果表明 :在恒定温度下 ,该体系存在着两个液晶区域 ,并且随含水量的增加 ,液晶结构发生变化。当组成固定时 ,体系的液晶相结构随温度升高也发生变化