移动互联网应用软件安全检测技术研究

从终端用户和国家组织面临的安全威胁入手,就工作原理、适用范围、核心技术等方面,深入阐述了当前两种主流的安全检测技术,并归纳出解决安全问题要从法规、技术和服务3个方面统筹考虑.最后提出我国建设统一集中的移动互联网应用软件安全检测平台的必要性.     

基于提高频繁项集挖掘效率算法在市场分析中的探讨

频繁模式是频繁地出现在数据集中的模式(如项集、子序列或子结构)。如频繁地同时出现在交易数据集中的商品的集合是频繁项集,利用高效率的频繁项集挖掘算法来发现频繁项集,通过分析这些频繁项集来预测商品的销售情况。     

高压切割喷嘴冲击磨损的数值分析

以复用矿井含煤颗粒的水对高压切割喷嘴的磨损物理问题为研究对象,采用计算流体力学理论进行数值计算,分析讨论了质量浓度为10、15、20、25、30、40 mg/L条件下速度、剪应力、磨损的分布以及变化关系。计算、分析结果表明:磨损主要发生在出口部位和锥体的后半部份,入口部份和锥体前半部份磨损较小;入口部位、锥体部位磨损量、剪应力随质量浓度增加变化较小;出口部位磨损量在质量浓度为10～20 mg/L减小较快,超过20 mg/L后变化不大;出口部位流体速度、磨损量、剪应力与质量浓度间存在对应关系。煤粒入口速度与混合物速度相同、锥体部位煤粒流体速度低于锥体部位混合物速度(平均值)约79.4%;煤粒出口部位速度随质量浓度的增大而呈现先增加后减小的趋势,速度最大值发生在浓度20 mg/L。     

光学薄膜元器件外观特性机器视觉检测系统

本系统利用工业级摄像头及开发包的机器视觉功能与计算软件编程控制技术相结合,通过与输入控制系统中的标准膜片模板外观品质进行对比,实现高速高效、准确识别检测光学薄膜器件中滤光片的外观缺陷。可在生产线上根据外观品质标准模板中设定的类别进行自动分类装盒。     

论高职院校计算机课程考试与评价制度的改革与实践

为了更好地为市场和行业培养人才,高职院校按照"以服务为宗旨,以就业为导向,全面跨进素质教育"的方针对计算机课程考试与评价制度的进行改革并注重实践教学.本文就学校的考试与评价制度中计算机发挥的重大作用,对计算机实践教学的考核方式现状进行分析,从而达到提高实践教学质量和学生技能的培养目的.     

创新服务方式推行"三网"合一全面提升纳税服务信息化建设水平

江苏省盐城地税局全面实现12366纳税热线系统与"盐城地税"门户网站的互联互通.该局按照标准统一、效率优先的要求,建立统一的纳税服务平台,竭力为纳税人提供规范高效的纳税服务.一方面实现了信息共享.网站上所有的政策法规、热点问题及其他业务资料全部从12366热线系统业务库中快速读取.另一方面实现了功能整合.以12366热线为主体,将热线、网站、短信平台中的咨询建议等互动功能进行整合,提供多渠道咨询和一员化处理的服务.     

浅谈计算机网络安全与防御技术

本文通过分析计算机网络安全的概念与现状,针对网络安全防御的关键技术及策略进行分析,以其通过本文的阐述为计算机网络安全体系建设提供技术支持.     

Mining e-Learning domain concept map from academic articles

Recent researches have demonstrated the importance of concept map and its versatile applications especially in e-Learning. For example, while designing adaptive learning materials, designers need to refer to the concept map of a subject domain. Moreover, concept maps can show the whole picture and core knowledge about a subject domain. Research from literature also suggests that graphical representation of domain knowledge can reduce the problems of information overload and learning disorientation for learners. However, construction of concept maps typically relied upon domain experts in the past; it is a time consuming and high cost task. Concept maps creation for emerging new domains such as e-Learning is even more challenging due to its ongoing development nature. The aim of this paper is to construct e-Learning domain concept maps from academic articles. We adopt some relevant journal articles and conference papers in e-Learning domain as data sources, and apply text-mining techniques to automatically construct concept maps for e-Learning domain. The constructed concept maps can provide a useful reference for researchers, who are new to the e-Leaning field, to study related issues, for teachers to design adaptive learning materials, and for learners to understand the whole picture of e-Learning domain knowledge.     

A Local Semi-Implicit Level-Set Method for Interface Motion

This paper proposes and implements a novel hybrid level set method which combines the numerical efficiency of the local level set approach with the temporal stability afforded by a semi-implicit technique. By introducing an extraction/insertion algorithm into the local level set approach, we can accurately capture complicated behaviors such as interface separation and coalescence. This technique solves a well known problem when treating a semi-implicit system with spectral methods, where spurious interface movements emerge when two interfaces are close to each other. Numerical experiments show that the proposed method is stable, efficient and scales up well into three dimensional problems.     

Perceptual image preview

Image preview is a convenient way to browse large or multiple images on small displays. However, current signal-level image resampling algorithms may remove many features of interest in the preview image. In this paper, we propose perceptual image preview which retains more perceptual features such that users can inspect features of interest by viewing the preview image only and without zooming in. This technology has two components, structure enhancement and perceptual feature visualization. Structure enhancement enhances the image structure while suppressing subtle details using a gradient modulation method, thus making the succedent perceptual features more apparent. For perceptual feature visualization, features of interest detected in the picture is visualized on the structure enhanced preview image. We demonstrate with two examples of most commonly used image quality features, image blur and noise. The effectiveness of the proposed method is validated by experimental results.