计算机网络实验是计算机课程教学的必要环节,文章介绍了一种新型在线计算机网络仿真实验系统。该系统具有开源、免安装和易使用的特点,由基于超文本标记语言5(Hyper Text Markup Language 5,HTML5)、Javascript和层叠样式表(Cascading S...计算机网络实验是计算机课程教学的必要环节,文章介绍了一种新型在线计算机网络仿真实验系统。该系统具有开源、免安装和易使用的特点,由基于超文本标记语言5(Hyper Text Markup Language 5,HTML5)、Javascript和层叠样式表(Cascading Style Sheets,CSS)的网页Widget技术实现。用户可以在安装有浏览器的任意设备和操作系统上拖动计算机网络设备Widget组件搭建网络拓扑图,并按照从数据链路层到应用层的相关协议实时仿真。为方便教师远程考查和重现学生实验情况,本系统利用基于浏览器指纹特征的Fingerprint技术识别用户,减少了会话层对内存的消耗,使系统对计算机硬件的要求较低,具有较高的可移植性。展开更多
本文采用文献计量分析的方法,通过对2001~2018年科学引文数据库的Web of Science数据库中法庭科学领域潜指纹研究文献进行统计,以此分析全球范围内法庭科学领域潜指纹研究情况。研究发现,全球在该领域的发文量整体呈现上升趋势。目前,...本文采用文献计量分析的方法,通过对2001~2018年科学引文数据库的Web of Science数据库中法庭科学领域潜指纹研究文献进行统计,以此分析全球范围内法庭科学领域潜指纹研究情况。研究发现,全球在该领域的发文量整体呈现上升趋势。目前,法庭科学领域潜指纹研究热点主要有四个:传统潜指纹显现材料或技术的研究、潜指纹的信息化研究、纳米技术在潜指纹显现中的应用研究和针对潜指纹的残留物(如成瘾物质、爆炸物等)及遗留时间等构建新型潜指纹显现材料。我国在该领域的研究有一定的影响力,但在今后的研究中要注重高水平论文的发表,同时应加强与高水平研究机构之间的合作,带动该领域研究力量的整体提升,更好地为平安中国保驾护航。该分析可为我国相关领域的研究提供参考依据。展开更多
In this paper, a novel online fingerprint verification algorithm and distribution system is proposed. In the beginning, fingerprint acquisition, image preprocessing, and feature extraction are conducted on workstation...In this paper, a novel online fingerprint verification algorithm and distribution system is proposed. In the beginning, fingerprint acquisition, image preprocessing, and feature extraction are conducted on workstations. Then, the extracted feature is transmitted over the internet. Finally, fingerprint verification is processed on a server through web-based database query. For the fingerprint feature extraction, a template is imposed on the fingerprint image to calculate the type and direction of minutiae. A data structure of the feature set is designed in order to accurately match minutiae features between the testing fingerprint and the references in the database. An elastic structural feature matching algorithm is employed for feature verification. The proposed fingerprint matching algorithm is insensitive to fingerprint image distortion, scale, and rotation. Experimental results demonstrated that the matching algorithm is robust even on poor quality fingerprint images. Clients can remotely use ADO.NET on their workstations to verify the testing fingerprint and manipulate fingerprint feature database on the server through the internet. The proposed system performed well on benchmark fingerprint dataset.展开更多
文摘计算机网络实验是计算机课程教学的必要环节,文章介绍了一种新型在线计算机网络仿真实验系统。该系统具有开源、免安装和易使用的特点,由基于超文本标记语言5(Hyper Text Markup Language 5,HTML5)、Javascript和层叠样式表(Cascading Style Sheets,CSS)的网页Widget技术实现。用户可以在安装有浏览器的任意设备和操作系统上拖动计算机网络设备Widget组件搭建网络拓扑图,并按照从数据链路层到应用层的相关协议实时仿真。为方便教师远程考查和重现学生实验情况,本系统利用基于浏览器指纹特征的Fingerprint技术识别用户,减少了会话层对内存的消耗,使系统对计算机硬件的要求较低,具有较高的可移植性。
文摘本文采用文献计量分析的方法,通过对2001~2018年科学引文数据库的Web of Science数据库中法庭科学领域潜指纹研究文献进行统计,以此分析全球范围内法庭科学领域潜指纹研究情况。研究发现,全球在该领域的发文量整体呈现上升趋势。目前,法庭科学领域潜指纹研究热点主要有四个:传统潜指纹显现材料或技术的研究、潜指纹的信息化研究、纳米技术在潜指纹显现中的应用研究和针对潜指纹的残留物(如成瘾物质、爆炸物等)及遗留时间等构建新型潜指纹显现材料。我国在该领域的研究有一定的影响力,但在今后的研究中要注重高水平论文的发表,同时应加强与高水平研究机构之间的合作,带动该领域研究力量的整体提升,更好地为平安中国保驾护航。该分析可为我国相关领域的研究提供参考依据。
文摘In this paper, a novel online fingerprint verification algorithm and distribution system is proposed. In the beginning, fingerprint acquisition, image preprocessing, and feature extraction are conducted on workstations. Then, the extracted feature is transmitted over the internet. Finally, fingerprint verification is processed on a server through web-based database query. For the fingerprint feature extraction, a template is imposed on the fingerprint image to calculate the type and direction of minutiae. A data structure of the feature set is designed in order to accurately match minutiae features between the testing fingerprint and the references in the database. An elastic structural feature matching algorithm is employed for feature verification. The proposed fingerprint matching algorithm is insensitive to fingerprint image distortion, scale, and rotation. Experimental results demonstrated that the matching algorithm is robust even on poor quality fingerprint images. Clients can remotely use ADO.NET on their workstations to verify the testing fingerprint and manipulate fingerprint feature database on the server through the internet. The proposed system performed well on benchmark fingerprint dataset.
