学习迁移理论在网页设计与制作课程中的应用

网页设计与制作作为高等学校计算机基础教育的主干课程之一,由于其中涉及到了代码的编写和调试,对于许多非计算机专业的学生来说存在一定的难度。针对这一问题,在网页设计与制作课程中的层叠样式表CSS、模板和库项目以及JavaScript的教学中引入了学习迁移理论。通过把学生们已经掌握的Office系列软件中的知识与网页设计与制作课程相应的概念做类比,消除同学们对新内容的距离感和陌生感。在实际教学中,取得了良好的教学效果。     

对称式双电位扩展键盘设计

本设计是基于MCU的一款高效率键盘输入系统。通过对分立按键和普通二极管的合理布局,实现了一种利用N个双向I/O端口确定N2＋N个键值的键盘电路设计。实验证明,该键盘电路结构简单、抗干扰能力强、稳定性好,具有很高的使用价值。     

ARP攻击与防御分析

ARP攻击会造成联网不稳定,经常致使个人或企业遭受重大损失。本文简述了几种常见的ARP攻击方式,并重点就其中一种攻击方式做了深度剖析,以实验的方式更进一步地将协议原理加以验证,最后本文对ARP攻击的防御手段及防御措施的配置方式做出了较为深入的分析和探讨。     

Occlusion cues for image scene layering

To bring computer vision closer to human vision, we attempt to enable computer to understand the occlusion relationship in an image. In this paper, we propose five low dimensional region-based occlusion cues inspired by the human perception of occlusion. These cues are semantic cue, position cue, compactness cue, shared boundary cue and junction cue. We apply these cues to predict the region-wise occlusion relationship in an image and infer the layer sequence of the image scene. A preference function, trained with samples consisting of these cues, is defined to predict the occlusion relationship in an image. Then we put all the occlusion predictions into the layering algorithm to infer the layer sequence of the image scene.The experiments on rural, artificial and outdoor scene datasets show the effectiveness of our method for occlusion relationship prediction and image scene layering.     

天花板水电站水土保持措施设计

在分析天花板水电站概况、项目区环境概况以及工程区水土流失与水土保持现状的基础上,确定了该工程水土流失防治标准及目标,并结合天花板水电站工程特点、区域水土保持防治要求,合理划分水土流失防治分区,提出水土保持防治措施布局及方案.     

话语标记的语体特征研究及应用

话语标记作为一种常见的话语现象,已成为话语分析研究的重要课题。由于研究角度不同,人们对于话语标记的认识和分类至今仍存在较大差异。该文从语体的角度提出假设,认为话语标记具有一定的语体特征。为准确描写话语标记的语体特征,提出了“语体度”的概念。通过对采样话语标记在不同语体的语料中分布情况进行定量分析,证实了相当一部分话语标记具有明显的语体特征,并根据分析结果选择特征向量,采用Rocchio分类法对开放文本进行自动语体分类实验,正确率达到82.9%。事实证明话语标记的语体特征对文本分类具有一定的参考价值。     

洋葱路由协议应用层仿真

为了对洋葱路由有一个清晰的认识和了解,在应用层上设计实现一种简单的洋葱路由器软件,并展示实现结果.实际结果证明在应用层上设计实现洋葱路由的可行性和通用性.     

基于扩散激活模型的无线自组网分簇方法

传统的分簇方法很少同时考虑安全因素及其对网络性能的影响。针对此问题,提出了一种基于信任关系的分簇方法,该分簇方法结合人类记忆的扩散激发模型思想,能够根据有限的局部信息自动地对整个网络进行分割。试验结果表明,该文所提出的分簇方法在精确度方面与集中式的分簇方法非常接近。因此,在提高Ad Hoc网络性能的同时,还可提高其安全性。     

基于遗传算法的污水处理模糊控制方法

模糊控制中的模糊推理规则和隶属函数的选取往往依据相关专家或技术人员的实际经验,对具有较强的非线性系统和未知动态环境条件下,其控制性能往往达不到很好的效果.使用遗传算法同时对隶属函数和模糊规则进行优化,从而使模糊推理规则和隶属函数的确定摆脱了人为经验的局限,提高了模糊控制的自适应能力.在此基础上设计出模糊控制器,并将其应用于污水处理溶解氧的控制中.实验结果表明,该控制器能够使溶解氧快速、准确地达到期望的要求.     

Efficient skeleton curve-guided five-axis sweep scanning based on optimal traversing of multiple connected skeleton curves

The five-axis sweep scanning approach is an emerging surface inspection technology which could tremendously boost the inspection efficiency through working in the way of continuous scanning. While inspecting the surfaces with multiple connected skeleton curves, the topological complexity brings conflict between achieving efficient inspection and working in continuous manner. Recently, a skeleton curve-guided five-axis sweep scanning method was proposed to tackle this problem but the resulting inspection path has to inspect the entire surface in a round-trip way. The manner of round-trip inspection pulls down the entire inspection efficiency and should be avoided as much as possible. In this paper, we present an improved skeleton curve-guided five-axis sweep scanning method to generate a more efficient five-axis scanning path for the surface with multiple connected skeleton curves. The proposed method starts from the framework of existing skeleton curve-guided five-axis sweep scanning method. Under the unique kinematic requirements of efficient five-axis sweep scanning, an integer linear programming optimization approach is utilized to optimally connect the inspection paths on independent surface patches and form a shorter skeleton curve-based sweep scanning path as compared with the existing skeleton curve-guided five-axis sweep scanning method. The resulting inspection path is composed of the single-pass inspection for most of the surface and the round-trip inspection for a small part of the surface. The comparison experiments are conducted on two surfaces with multiple connected skeleton curves. Experiment results show that the proposed method significantly outperforms the method provided by the leading commercial software Apexblade and the original skeleton curve-guided five-axis sweep scanning method.