The effects of age,viewing distance,display type,font type,colour contrast and number of syllables on the legibility of Korean characters

This study evaluated the effects of age (20s and 60s), viewing distance (50 cm, 200 cm), display type (paper, monitor), font type (Gothic, Ming), colour contrast (black letters on white background, white letters on black background) and number of syllables (one, two) on the legibility of Korean characters by using the four legibility measures (minimum letter size for 100% correctness, maximum letter size for 0% correctness, minimum letter size for the least discomfort and maximum letter size for the most discomfort). Ten subjects in each age group read the four letters presented on a slide (letter size varied from 80 pt to 2 pt). Subjects also subjectively rated the reading discomfort of the letters on a 4-point scale (1 = no discomfort, 4 = most discomfort). According to the ANOVA procedure, age, viewing distance and font type significantly affected the four dependent variables (p < 0.05), while the main effect of colour contrast was not statistically significant for any measures. Two-syllable letters had smaller letters than one-syllable letters in the two correctness measures. The younger group could see letter sizes two times smaller than the old group could and the viewing distance of 50 cm showed letters about three times smaller than those at a 200 cm viewing distance. The Gothic fonts were smaller than the Ming fonts. Monitors were smaller than paper for correctness and maximum letter size for the most discomfort. From a comparison of the results for correctness and discomfort, people generally preferred larger letter sizes to those that they could read. The findings of this study may provide basic information for setting a global standard of letter size or font type to improve the legibility of characters written in Korean.

Statement of Relevance: Results obtained in this study will provide basic information and guidelines for setting standards of letter size and font type to improve the legibility of characters written in Korean. Also, the results might offer useful information for people who are working on design of visual displays.     

配电柜线号特征提取和识别方法研究

配电柜是动车组电气设备的关键设备之一,基于视觉的自动化检测方式可以解决传统的人工检测的低效、主观性强的问题,是工业检测的一个重要的检测方向,由于动车配电柜在光照和空间等方面的恶劣情况,线号数字呈现灰度、尺寸、角度等差异,极不利于线号的识别。本文以线号正确分割提取为前提,提取分割的数字区域的HOG特征和LBP特征,并利用SVM和ANN两种分类器配合两种特征进行对比试验,因为HOG特征在图像几何和光学的形变会表现出优异的不改变的特性,且SVM分类器克服了后者局部极小的困扰,最终选用SVM分类器配合HOG特征进行配电柜线号识别。     

基于最优分类数及遗传算法的灰度图像多阈值自动分割法

如何确定分类数是模式识别和图像分割中常要面对的难题。文献犤1犦提出了一种基于阴阳机制确定最优分类数的模式聚类方法。该文在文献犤1犦的基础上,导出了一个新的用于评价灰度图像多阈值分割的评价标准,并结合遗传算法,提出了一种用于灰度图像的多阈值自动分割方案。试验表明,该法具有较强的鲁棒性、适用性、非监督性。     

粒子群可拓的新冠肺炎建模与仿真

本文提出了一种基于粒子群可拓神经网络预测模型.根据国外近段时间每日新增新冠肺炎确诊人数,利用可拓神经网络模型对国外日新增新冠肺炎确诊人数进行预测,并利用粒子群算法(PSO)对权值进行优化,最后与LSSVM、ABC-LSSVM及PSO-LSSVM模型进行比较.结果表明:采用文中提出的粒子群可拓神经网络模型拟合效果较好,精...     

图像压缩算法的研究

本文提出一种图像压缩的新算法,即以数论为理论基础的变换法－数论变换。     

Discrete logarithms inGF(p)

Several related algorithms are presented for computing logarithms in fieldsGF(p),p a prime. Heuristic arguments predict a running time of exp((1+o(1)) ) for the initial precomputation phase that is needed for eachp, and much shorter running times for computing individual logarithms once the precomputation is done. The running time of the precomputation is roughly the same as that of the fastest known algorithms for factoring integers of size aboutp. The algorithms use the well known basic scheme of obtaining linear equations for logarithms of small primes and then solving them to obtain a database to be used for the computation of individual logarithms. The novel ingredients are new ways of obtaining linear equations and new methods of solving these linear equations by adaptations of sparse matrix methods from numerical analysis to the case of finite rings. While some of the new logarithm algorithms are adaptations of known integer factorization algorithms, others are new and can be adapted to yield integer factorization algorithms.     

基于javascript的动态网页制作

介绍了怎样用Javaseript脚本语言实现在网页中跟随鼠标移动的动画。动态显示系统时间．设计向上滚动文字的窗口、统计网页的访问次数四个方面的内容。     

改进的基因拷贝数变异检测算法

cnvPartition算法在单核苷酸多态性数据上运算时间复杂度较高。为此,提出一种改进的基因拷贝数变异(CNV)检测算法。将二元分割与cnvPartition算法相结合,优先查找显著变异断点,再检测出隐藏性变异断点。实验结果表明,该算法在位点数增加时,最高可提高50%的检测速度,利于检测出小片段的CNV变异。     

BP神经网络的设计

对ＢＰ神经网络设计中的隐层节点数，初始权值，学习率等参数的选择进行研究，分别给出若干经验公式。