针对水质预警指标复杂冗余问题,提出基于关联属性重要度的水质指标属性约简算法.以属性依赖度和属性重要性为基础,根据每个条件属性对决策属性影响程度,引入属性关联重要性概念进行约简操作.通过计算属性关联重要性,挖掘水质指标之间的相互影响程度,进一步判别决策属性对条件属性的分类强度,并以鲈养殖水质为实例进行算法解析,以UCI数据集进行实验验证,结果表明此算法在冗余属性约简方面是有效可行的.

现如今,电子游戏已经逐步进入到了广大学生的日常生活并深受大学生的欢迎.越来越多的大学生沉迷于游戏,这不仅影响他们的身心健康,同时也让很多大学生投入了大量金钱,严重者更是影响了正常生活.针对这一现状,本文设计了一款旨在控制大学生沉迷游戏的系统,此系统从时间和消费上限制了大学生游戏行为,让大学生"摆脱"沉迷.该系统使用了MySQL数据库技术在后台对用户的账号和消费情况进行管理,再通过计时器计时最终达到了控制游戏时间和消费的目的.

开展工程教育认证不仅可以推动高等工程教育与工业界的协同创新,还能促进我国工程教育与国际工程教育的互认,进而提升国际竞争力.以物联网工程专业为试点,开展基于专业认证标准的物联网工程专业实践教学改革与实践,实践教学改革引入成果导向教育理念,以学生为中心,以培养目标为导向,教学设计和教学实施的目标注重学生所取得的学习成果,提升学生工程实践能力.

在传统中值、均值滤波算法的基础上借鉴灰色关联理论,提出了一种有效抑制混合噪声的滤波算法.算法采用窗口自适应策略,先统计3×3滤波窗口内椒盐噪声点数目,如果数目大于7,则扩大窗口至5×5.计算各点关联系数,将滤波窗内非椒盐噪声点的灰度值作为比较序列,它们的中值或均值作为参考序列,对于椒盐噪声的滤除参考序列使用中值,对于高斯噪声的滤除使用均值作为参考序列.然后将各非噪声点灰度值与关联系数加权运算,得出的灰度值替换噪声点像素值.通过实验验证了几种算法的性能差别,证实了算法具有较强的去噪能力和边缘保护效果.

A new algorithm for removing salt and pepper noise is proposed based on grey theory and median filtering algorithm.The algorithm uses switching strategy,if the filter window center is noise point,adjusts the window size adaptively according to the number of non-noise,and uses these non-noise points gray and their mean value as comparison sequence and reference sequence to calculate correlation degree,then weighted these non-noise points gray together with their correlation degree,if the result is normal gray value,replaces the center noise point gray,otherwise,uses the median gray of non-noise points in the filter window to replace center noise point gray.The experimental results show that the proposed algorithm has better denoising ability and edge protection effect compared with other algorithms.

Based on the grey relevance theory and the idea of switching filter,an algorithm for removing salt and pepper noise based on grey relation is proposed.The algorithm uses switching strategy,for the noise point,selects the non-noise pixels in the filtering window with size of 3X3,calculated the weighting coefficient of each pixel by grey value,and used the non-noise pixel weighted to replace the noise pixels.The simulation results show that the algorithm not only suppresses the salt and pepper noise in the image,but also maintains the edge detail of the image,and the filtering effect is better than the traditional filtering algorithms.

Analysis on cell morphology in medical image processing mainly depends on the technology of edge detection,according to the characteristics of medical cell image,this paper proposed a new edge detection algorithm based on gradient algorithm principle.The algorithm uses 5 × 5 detection window,calculates the difference of pixels gray average of four strip sub-windows in horizontal and vertical direction separately,gets their obsolutions,and the maxium of them is as direction gradent,uses the maxium direction gradient as the gradient of central point of detection window.At last,it thines the gradient image and extracts the image edge.The experiments show that the extracted cell edge has good continuity and high accuracy,and has a certain noise suppression ability,and the performance is better than the traditional detection algorithm.

Traditional median filer and mean filter algorithms can eliminate the impulse noise and Gauss noise in an image respectively, but when the image contains these two types of noise at the same time,their filtering effect are not ideal. In order to suppress the impulse noise and Gauss noise mixed in the image,a median weighted filtering algorithm based on UK-flag shaped sub-windows is proposed, which uses the ideas of the multistage median filtering to divide 3×3 filtering window into UK-flag shaped sub-windows and then non-impulse noise pixels and their medians is calculated. The normalized method is employed to calculate the weights of these median pixels so that each median pixel in sub-window and its corresponding weight is weighted. The results have been acquired via filtering output of center pixel in the filtering window. Experimental results indicate that it has good filtering performance for mixed noise images and keeps the image edge details fare well and that the filtering effects are superior to the traditional median filtering algorithm,mean filtering algo-rithm and MLM algorithm,which displays certain practical value.

社会在变化,但大学人才培养的规格标准和培养模式却变化不大,大学人才培养的一大弊病就是用同一模式塑造每个学生,培养的人才没有特色,不能满足市场的需要.因此,高校人才培养模式的改革势在必行.笔者采用大数据分析的理论和方法,对采集的大学生日常行为大数据进行存储、分析和挖掘,形成个性化的优质教育资源,建设个性化的模块培养体系,构建以数据为核心的个性化人才培养推荐系统平台,提高大学生就业与创业能力.

信息技术的快速发展对民众的日常生活产生了巨大的影响,公交车作为使用最多的交通工具已经发生了巨大变革,各种新技术的使用使其在日常运行过程中产生了海量数据,如何对这些数据进行科学有效地采集和深入挖掘分析利用成为当前各个公交系统平台共同的难题.本文通过对智慧公交平台的大数据现状调查分析,提出一些解决方法,以便为智慧公交系统平台的建设和完善提供建议.

This paper presents the relationship between support vector machines ( SVMs) and feed-forward artificial neural networks ( FANNs) .It first illustrates the similarity in terms of network structure , i.e., their in-put function can be expressed as a linear combination of basis functions .Then, some key differences between SVMs and FANNs are pointed out .One is the difference of optimization goal .FANNs only needs to reach empiri-cal risk minimization , but for SVMs , it aims at minimizing the structural risk .Another is the difference of hidden layer.In SVMs, the nodes of hidden layer are exactly support vectors .While in FANNs, the nodes of hidden layer can be empirically determined in advance .Moreover , the difference of model complexity is also concerned . For FANNs, its complexity is controlled by the number of hidden nodes .But the complexity of SVMs is inde-pendent of data dimensionality .At the end, the comparative experiments on UCI benchmark datasets are provid-ed, for evaluating the performance of SVMs and FANNs in classification .

目前部分大学生怠学,学生对学习内容没兴趣,课后基本不进行练习,每天忙于听课,学生很少动脑思考问题.为解决上述问题,开发了基于B/S结构的学生前馈管理系统,系统采用UML进行建模.学生登陆系统后可了解和学习教师讲授内容,并做好前馈总结.课上采用转动课堂的教学模式,教师通过师生互动,生生互动,激发学生学习的兴趣.通过一学期的教学应用,学生养成了自主学习的习惯,取得了令人满意的效果.

以UML建模为指导思想,以界面设计员、数据库设计员、测试员等岗位为岗位群,以C#为主要编程语言,使用统一建模语言UML对系统进行面向对象的分析和建模,通过完成真实的工作项目,培养学生进行网站架构设计、网页界面设计、编程实现、代码测试、打包发布的技能,并通过拓展项目训练,逐步培养学生网站系统分析和设计的能力.

提出了一种加权的滤波算法,以3×3滤波窗口为中心,先将滤波窗口划分左上、右上、左下、右下四个2×2大小的子窗口,求出这些窗口的中值像素点,然后求出每个中值像素点与它们的均值差的绝对值,利用这些绝对值的平均值采用归一化方法计算出权值.最后将这些中值与它们对应的权值进行加权运算,结果作为中心点的滤波输出.仿真实验结果证明,本文算法对高斯噪声具有较强的去噪能力,较好地保护了图像的边缘等细节,滤波性能高于传统中值滤波算法和传统均值滤波算法.

高校学生请假系统是适用于高等院校学生请假的网络应用软件.在需求分析过程中,将整个系统分为学生请假模块、辅导员和学生主任模块、主管院长模块和教师模块等6部分,使用统一建模语言UML对系统进行面向对象的分析和建模,完成了系统的静态建模.在数据库设计中用E-R图建立了数据库的概念模型.系统采用B/S结构开发,在校园网上进行测试,实现了预期目标.

The university teacher adjustable course system is the network application software used in teacher's adjustable course for schools of higher education.In the course of demand analysis,the whole system is divided into six parts,such as teacher adjustable course module,teaching secretary module,academic administration adjustable course module,course information module,etc.The use of language UML can realize the object-oriented analysis and modeling,completing the system static modeling and dynamic modeling.In database design,E-R diagram establishes the database concept model.

创新教育教学方法,突出实践教学,培养学生动手实践能力,研究和探索校内生产性实训平台的实践教学模式,依托实训平台,进行一体化实践课程建设,加快和完善计算机网络专业教学改革。

Maintenance management model for general electronic goods can realize the information management.The use of UML can do object-oriented analysis and modeling,creating a system static model and dynamic model.The system adopts B/S structure development,which is tested in the Internet and has achieved the expected goal.

Student's teaching evaluation system is the software of teaching quality management,which is applied to the teachers in univevsity at classroom teaching.At the demand process,the system is divided into the student's teaching evaluation mould,the teacher assessment school,teachers peer assessment mould and management mould.This paper uses UML to analyse and model the system for the oriented object.The static and dynamic modeling for the systems are completed.

Inventory management system for computer chains can realize the information management,and help enterprises statistically analyze the information through the modern information technology to guide the work of enterprises.The use of UML can do object-oriented analysis and modeling,creating a system static model and dynamic model.The method of fixed-quantity ordering can be used in the design of inventory control parameter management.