折线链节点标注技术

针对传统多边形位置关系计算比较烦琐,以及简单多边形的理论难以拓展到一般多边形的问题,提出标注节点状态的方法.通过定义11种位置来描述折线链上每个节点的状态,再采用"线段端点与线段"和"线段端点与邻折线"的标注方法来实现任意折线链的标注,同时利用两线段分割预处理使相交仅发生在端点处,从而使算法更高效;然后给出折线链基本位置关系的节点特征,并且探讨了三维顶点的标注方法.该方法的标注原理简单、方法实用,算法空间和时间复杂度分别为O(n)和O(n2).实验结果表明,该方法对任意形状的折线链都能实现稳定标注;通过搜索节点状态特征可以求解折线链间的相互关系,还可以实现一般折线链的碰撞检测、相交区域计算以及多边形简单化分解等.     

独立学院大学计算机基础课程教学的几点思考

针对当前独立学院大学计算机基础课程教学中面临的一些问题,结合教学实践,提出了分层教学模式,以期更好地为独立学院培养计算机技能上手快,后劲足的应用型人才:对不同层次的对象采取不同的教学内容和方式;面向专业,将计算机基础教学内容模块化,结合专业划分必修与选修模块,在内容深度和广度上更好地为专业服务;教学内容面向实用,兼顾体系,突出重点,精讲精练.     

基于深度神经网络的高位滑坡范围预测

以贵州尖山营滑坡为工程背景,通过对深度学习的总结与分析,建立多层感知器模型以对该滑坡危险区范围进行非线性预测研究。通过对深度神经网络算法的优化,构建64-128-32-1四层多层感知器模型,并以滑坡最大高差、滑坡体积、滑源区坡度、坡脚坡度、地层倾角作为输入量,以滑坡最大水平运动距离作为输出量对该模型进行训练,实现影响因素与运动距离的非线性映射。根据对贵州省尖山营滑坡调查和研究,尖山营滑坡区域面积约648 700 m2,体积约1 200万 m3,属于特大型滑坡。依据最优模型对该滑坡进行滑距预测,滑坡平面直线距离1 769 m区域内为危险区域。     

Application of genetic algorithm-based intuitionistic fuzzy weighted c-ordered-means algorithm to cluster analysis

Knowledge and Information Systems - With the advance of information technology, many fields have begun using data clustering to reveal data structures and obtain useful information. Most of the...     

可编程脉冲产生器的设计及应用

文中针对脉冲产生器的市场供应与实际应用情况,给出了一种以单片机为CPU核心的可编程脉冲产生器的设计思路,阐述了完成该产生器的硬件结构和软件设计方法,并给出相应的硬件电路和软件设计流程;为了验证设计的合理性,将其应用于某测控系统的步进电机控制器中,并进行实验测试,结果表明该设计具有低成本、高可靠性等特点,特别是其脉冲宽度与周期可编程预置,不仅增加了设备的使用灵活性,而且扩大了应用范围,可推广应用于多种功能的测控系统中。     

校园网络立体化数据存储方案的研究与设计

本文针对校园网络数据存储方式单一、成本高、实用性不高的问题,设计了一个实用、可操作性的立体化数据存储方案。该方案发挥raid、虚拟存储和数据容灾三种存储技术各自的优势,将这三种存储技术有机的融合,构建了三个存储层,物理存储层、虚拟存储层、数据容灾备份层,每个层又采取两种不同的存储方式,在实用、低廉的基础上实现数据的安全冗余和立体化备份,从而确保校园应用数据的安全性和可用性。     

Influence of base resistance on extracting thermal resistance for SiGe HBTs

In this article, the influence of base resistance on extracting thermal resistance for SiGe heterojunction bipolar transistors is studied and an improved approach for determining the junction temperature and thermal resistance is presented. The proposed method for extracting thermal resistance is based on the temperature sensitivity of the base–emitter (B–E) voltage when the device is biased with a fixed emitter current density. This approach not only takes into account the self‐heating during the different ambient temperature measurement but also revises the empirical equation of B–E voltage due to the influence of base resistance during the power dissipation increment measurement. Results are obtained for devices with different emitter lengths and fingers. Compared with the conventional method, the thermal resistance is about up to 15% improvement for the device with 0.3 × 1.9 μm² emitter area and 13.8% for the device with 0.3 × 13.9 μm² emitter area. The accurate thermal resistance implemented in HICUM model has resulted in better fit for transistor output characteristics. © 2012 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2012.     

Fuzzy local maximal marginal embedding for feature extraction

In graph-based linear dimensionality reduction algorithms, it is crucial to construct a neighbor graph that can correctly reflect the relationship between samples. This paper presents an improved algorithm called fuzzy local maximal marginal embedding (FLMME) for linear dimensionality reduction. Significantly differing from the existing graph-based algorithms is that two novel fuzzy gradual graphs are constructed in FLMME, which help to pull the near neighbor samples in same class nearer and nearer and repel the far neighbor samples of margin between different classes farther and farther when they are projected to feature subspace. Through the fuzzy gradual graphs, FLMME algorithm has lower sensitivities to the sample variations caused by varying illumination, expression, viewing conditions and shapes. The proposed FLMME algorithm is evaluated through experiments by using the WINE database, the Yale and ORL face image databases and the USPS handwriting digital databases. The results show that the FLMME outperforms PCA, LDA, LPP and local maximal marginal embedding.