基于拓扑映射的多边形顶点凸凹判别算法

通过拓扑映射，多边形顶点凸凹判别可以转化为映射点在射影直线上的位置关系问题。首先求得相邻边在两条射影直线上的映射点，基于一般映射点归纳得到顶点凸凹判别的4条规则，然后将两条射影直线上的映射点归结为一条射影直线，从而得到更有效的映射点求取方法，顶点凸凹判别规则统一为两条；进一步考虑非固有映射点的求取方法，提高了算法的稳定性，实验结果表明，该算法实现简单、速度快、稳定可靠。     

Adaptive control of a class of nonlinear systems with convex/concave parameterization

This paper deals with adaptive control of a class of second-order nonlinear systems with a triangular structure and convex/concave parameterization. In Annaswamy et al. (Automatica 33(11) (1998) 1975–1995) it was shown that nonlinearly parameterized systems that satisfy certain matching conditions can be adaptively controlled in a stable manner. In this paper, we relax these matching conditions and include additional dynamics between the nonlinearities and the control input. Global boundedness and convergence to within a desired precision is established. No overparameterization of the adaptive controller is required.     

直接法自动绘制等值线图

根据等值线通过的相邻单元共棱边和控制等值线通过的单元总数的原理，提出了直接法自动绘制等值线图的方法．算例表明本方法概念明确，计算量少，结论正确．     

确定多目标问题有效最小值的新方法

源于支付矩阵的最小值常被认为是多目标线性规划(MOLP)问题中有效集上真实最小值的一个“合理”近似,实际两者之间的差距常常是相当大的,为此,提出了一种确定有效集上真实最小值的精确罚函数法,并给出了相应的数值实例。     

Data Augmentation Using Contour Image for Convolutional Neural Network

With the development of artificial intelligence-related technologies such as deep learning, various organizations, including the government, are making various efforts to generate and manage big data for use in artificial intelligence. However, it is difficult to acquire big data due to various social problems and restrictions such as personal information leakage. There are many problems in introducing technology in fields that do not have enough training data necessary to apply deep learning technology. Therefore, this study proposes a mixed contour data augmentation technique, which is a data augmentation technique using contour images, to solve a problem caused by a lack of data. ResNet, a famous convolutional neural network (CNN) architecture, and CIFAR-10, a benchmark data set, are used for experimental performance evaluation to prove the superiority of the proposed method. And to prove that high performance improvement can be achieved even with a small training dataset, the ratio of the training dataset was divided into 70%, 50%, and 30% for comparative analysis. As a result of applying the mixed contour data augmentation technique, it was possible to achieve a classification accuracy improvement of up to 4.64% and high accuracy even with a small amount of data set. In addition, it is expected that the mixed contour data augmentation technique can be applied in various fields by proving the excellence of the proposed data augmentation technique using benchmark datasets.     

地形表达中的DEM形式和等高线形式比较

在传统测量发展阶段,由于受数据采集手段和制图方法的局限,地形主要是通过等高线图来进行表达的.测绘信息技术的发展,使得在地形的表达上,有了更多的选择.DEM等对地形的数字表达形式成为地形表达的主要形式.本文全面比较了DEM和等高线在地形表达中的特点.     

极低体积分数(Au-H2O)纳米流体导热机理研究

纳米流体热物性的研究作为一门新兴交叉学科一直受到关注,然而至今仍没有理论能够准确解释AuH2O这类体积分数极低的纳米流体导热系数极大增强的现象。因此,在前人理论的基础上,提出一种新的算法模型:利用分形理论模拟纳米颗粒分布来解释团聚物对纳米流体导热系数的影响;利用微对流模型以及颗粒扩散修正因子来还原导热系数的动态项。该算法模型充分考虑了团聚、颗粒分布、布朗运动形成的微对流、温度对颗粒和基液分子布朗运动的影响以及颗粒扩散等因素对纳米流体导热系数的影响,能够准确预测出Au-H2O纳米流体导热系数增强的趋势,理论预测值与绝大部分现有实验数据最大偏差不超过1.5%。研究发现,对这类极低浓度纳米流体而言,温度对其影响大于体积分数和粒径的影响,且呈指数形式增长。     

六角网格上的图象处理算法

介绍了六角网格,并从图形、图象处理的角度分析了其优点,提出了在六角网格上进行图象处理的数字化过程,以及一个轮廓跟踪算法．     

弧面凸轮分度机构CAD与虚拟产品模型

在分析弧面凸轮分度机构啮合原理的基础上给出了通用的解析方程式和简单的修正方法，适应于不同的旋向、工位和运动规律．通过ＡＤＳ编程实现了自动设计、自动建模和虚拟再现真实产品模型的过程．     

展成电解加工的成形规律研究

对内喷式阴极展成电解加工时电压Ｖ、进给速度ｖ、电解液压力Ｐ、温度Ｔ对加工间隙的影响进行了试验研究。同时对用脉冲电流展成电解加工进行了讨论，所得结论为展成电解加工的实际应用提供了依据。