Personalized identification of abdominal wall hernia meshes on computed tomography

An abdominal wall hernia is a protrusion of the intestine through an opening or area of weakness in the abdominal wall. Correct pre-operative identification of abdominal wall hernia meshes could help surgeons adjust the surgical plan to meet the expected difficulty and morbidity of operating through or removing the previous mesh. First, we present herein for the first time the application of image analysis for automated identification of hernia meshes. Second, we discuss the novel development of a new entropy-based image texture feature using geostatistics and indicator kriging. Third, we seek to enhance the hernia mesh identification by combining the new texture feature with the gray-level co-occurrence matrix feature of the image. The two features can characterize complementary information of anatomic details of the abdominal hernia wall and its mesh on computed tomography. Experimental results have demonstrated the effectiveness of the proposed study. The new computational tool has potential for personalized mesh identification which can assist surgeons in the diagnosis and repair of complex abdominal wall hernias.     

基于面向服务的泥石流数值模拟通用平台

对当前泥石流模拟系统的单一性缺点进行了研究,提出了面向服务的泥石流数值模拟的通用平台思想。以有限差分模型为基础,采用面向服务的思想,设计了系统 C/S模式的技术方案并完成了整个系统的设计和实现。经过香港滑坡地形图的验证,证明了本通用平台的可行性和有效性。     

手机银行风险评价体系研究

从手机银行的应用现状出发,阐述手机银行的技术架构以及常见的安全风险。结合国家等级保护及行业主管部门的相关技术要求,分析手机银行的各个层面的风险评估指标,并采取层次分析法确定各指标的权重,最后得出手机银行的总体安全情况。在此基础上形成的手机银行风险评价体系,可量化风险评估结果,为手机银行的风险管理提供依据。     

浅议军事需求分析的规律和原则

军事需求分析有其自身活动的规律和原则,文章对军事需求分析的主要规律和原则进行了分析和总结,为从事军事需求分析的技术人员提供指导。     

虚拟化安全服务器研究与设计

随着服务器虚拟化技术的推广与发展,深圳供电局开始引入虚拟化应用来提高硬件资源使用率,虚拟化技术在给深圳供电局带来便利的同时也暴露一些安全问题,例如出现针对虚拟化操作系统的新型攻击,在虚拟环境下无法有效实现访问控制、流量检测及安全审计等隐患。通过对虚拟化环境基础架构及虚拟化环境信息安全整体防护的探讨,提出一套适用于深圳供电局的虚拟化安全服务器解决方案。     

基于无线传感器网络的动态手势识别算法及动态演示

与语言文字一样,手势是人类沟通交流的重要方式。在计算机技术高速发展的现在,手势识别技术的出现,能大大提高用户与机器设备、计算机部件之间的交流效率。现在采用摄像头跟踪进行手势识别的技术已经使用一段时间,但是其对硬件的要求高、分析的数据大,使得其产品相对昂贵或者识别能力不够强。与摄像头跟踪技术相比,基于无线传感器网络的手势识别速度更快,价格更便宜并且实用。通过对移动终端设计一套手势识别的算法,利用无线传感器网络实现用手机终端操作计算机的终端的一系列复杂命令。实验证明,该算法适用于大型游戏操作和平台展示,使用户不用通过购买相关硬件直接安装使用。     

针对信息安全专业《近世代数》课程改革的探讨

针对信息安全专业的《近世代数》教学,分析信息安全专业学生与数学专业学生在《近世代数》学习上存在的差异性,并因此提出如何调整《近世代数》的教学内容使其更适合信息安全专业学生的学习,探讨针对信息安全专业《近世代数》学习的教学方法改革,从而提高信息安全专业学生学习《近世代数》的积极性和效果。     

基于云计算的图书馆信息咨询服务研究

当今社会,云计算以其独特的优势,在当代社会中获得了良好的发展,并且越来越深刻地影响、改变着我们的日常生活,它给人类社会提供了一个全新的交易模式,弥补了当前信息交易模式中的不足,并预示着一种全新的信息咨询技术和商业计算模式的出现。当前,图书馆将云计算的技术与理念运用于信息咨询服务中,对图书馆的服务技术、服务理念、服务方法等产生了深刻的影响。本文从分析图书馆信息咨询服务中存在的问题出发,探讨如何构建基于云计算的图书馆信息咨询服务平台。     

LoVis: Local Pattern Visualization for Model Refinement

Linear models are commonly used to identify trends in data. While it is an easy task to build linear models using pre‐selected variables, it is challenging to select the best variables from a large number of alternatives. Most metrics for selecting variables are global in nature, and thus not useful for identifying local patterns. In this work, we present an integrated framework with visual representations that allows the user to incrementally build and verify models in three model spaces that support local pattern discovery and summarization: model complementarity, model diversity, and model representivity. Visual representations are designed and implemented for each of the model spaces. Our visualizations enable the discovery of complementary variables, i.e., those that perform well in modeling different subsets of data points. They also support the isolation of local models based on a diversity measure. Furthermore, the system integrates a hierarchical representation to identify the outlier local trends and the local trends that share similar directions in the model space. A case study on financial risk analysis is discussed, followed by a user study.