Recognizing polygonal parts from width measurements

Automatic recognition of parts is an important problem in many industrial applications. One model of the problem is: given a finite set of polygonal parts, use a set of “width” measurements taken by a parallel-jaw gripper to determine which part is present. We study the problem of computing efficient strategies (“grasp plans”), with the goal to minimize the number of measurements necessary in the worst case. We show that finding a minimum length grasp plan is -hard, and give a polynomial time approximation algorithm that is simple and produces a solution that is within a log factor from optimal.     

新型集合套范畴的弱Topos性

借助模糊集理论中的集合套理论，引入一种新型的集合范畴SEB3。它满足卡氏积封闭性，但不是Topos，而是介于卡氏积封闭性和Topos之间的一种结构，我们称之为弱Topos。     

A novel method for detecting and counting overlapping tracks in SSNTD by image processing techniques

Overlapping object detection and counting is a challenge in image processing. A new method for detecting and counting overlapping circles is presented in this paper. This method is based on pattern recognition and feature extraction using “neighborhood values“ in an object image by implementation of image processing techniques. The junction points are detected by assignment of a value for each pixel in an image. As is shown, the neighborhood values for junction points are larger than the values for other points. This distinction of neighborhood values is the main feature which can be utilized to identify the junction points and to count the overlapping tracks. This method can be used for recognizing and counting charged particle tracks, blood cells and also cancer cells. The method is called “Track Counting based on Neighborhood Values” and is symbolized by “TCNV”.     

MODULEWRITER: a program for automatic generation of database interfaces

MODULEWRITER is a PERL object relational mapping (ORM) tool that automatically generates database specific application programming interfaces (APIs) for SQL databases. The APIs consist of a package of modules providing access to each table row and column. Methods for retrieving, updating and saving entries are provided, as well as other generally useful methods (such as retrieval of the highest numbered entry in a table). MODULEWRITER provides for the inclusion of user-written code, which can be preserved across multiple runs of the MODULEWRITER program.     

自适应窗口选取的Mean-Shift目标跟踪

当目标尺度发生变化时,传统Mean-Shift跟踪算法因跟踪窗口尺寸不变容易导致跟踪目标丢失,为解决此问题,本文提出一种带宽自适应算法对目标尺度变化进行检测,从而实现模板更新.该算法分别将模板图像与当前帧目标图像分割成等间隔半径的若干同心圆,通过计算模板图像与当前帧图像不同环层之间相似性度量,根据相应环层之间相似性度量关系确定当前帧模板带宽更新参量,最后利用kalman滤波完成模板尺度更新,从而实现目标稳定跟踪.实验证明,当目标尺度发生变化时,目标模板自动更新,能够实现目标稳定跟踪;相对传统Mean-Shift跟踪算法,目标跟踪可靠性能得到了提高.     

Computing exact solution to nonlinear integer programming: Convergent Lagrangian and objective level cut method

In this paper, we propose a convergent Lagrangian and objective level cut method for computing exact solution to two classes of nonlinear integer programming problems: separable nonlinear integer programming and polynomial zero-one programming. The method exposes an optimal solution to the convex hull of a revised perturbation function by successively reshaping or re-confining the perturbation function. The objective level cut is used to eliminate the duality gap and thus to guarantee the convergence of the Lagrangian method on a revised domain. Computational results are reported for a variety of nonlinear integer programming problems and demonstrate that the proposed method is promising in solving medium-size nonlinear integer programming problems.     

《高分子化学》教学过程新教学模式探讨

随着高分子科学技术的快速发展,《高分子化学》已经成为了化学、化工、材料等专业的必修课程,也成为了理科和师范院校的选修课程。但由于《高分子化学》涵盖的内容繁杂、抽象,致使学生在学习《高分子化学》课程中感觉非常吃力,常常出现难理解、难消化等问题。笔者在教授《高分子化学》课程中,使用"类比教学"、"实物教学"、"翻转教学""口诀教学"等手段将高分子化学所涉及的概念具体化、形象化、丰富化,使学生快速理解和掌握高分子化学中的概念知识,牢记知识要领,起到了很好的教学效果。     

Comment on “A fuzzy soft set theoretic approach to decision making problems”

The algorithm for identification of an object in a previous paper of A.R. Roy et al. [A.R. Roy, P.K. Maji, A fuzzy soft set theoretic approach to decision making problems, J. Comput. Appl. Math. 203(2007) 412–418] is incorrect. Using the algorithm the right choice cannot be obtained in general. The problem is illustrated by a counter-example.     

A fuzzy soft set theoretic approach to decision making problems

The problem of decision making in an imprecise environment has found paramount importance in recent years. A novel method of object recognition from an imprecise multiobserver data has been presented here. The method involves construction of a Comparison Table from a fuzzy soft set in a parametric sense for decision making.     

在线检测中改善对入射光强敏感性方法的研究

提出一种新的图象灰度均匀性算法,利用目标反射率是恒定因素,有效降低了入射光强变化对在线目标识别带来的不利影响.实践表明这一方法有效解决了工业在线检测中环境恶劣对入射光的影响问题.