培训中心网络安全建设的思考

本文分析了在网络安全的严峻局面下,培训中心作为开放性的网络访问环境,面临的支撑业务与安全矛盾难题远比企业大得多。本文以网络建设的多维度分析模型方法为基础,详细分析了培训中心网络建设的难点,提出了具体落地的网络建设思路;说明培训中心网络安全建设是长期的、技术难度很高的、有价值的工作。     

大类招生背景下电子信息类专业人才培养模式的探索与思考

“大类招生、分流培养”已成为大多数高校采取的招生和培养思路，如何确定大类招生包含的专业、合理制定分流原则、制定科学的课程体系、完善相关的配套制度，不仅关系高校招生生源质量，而且影响高校人才培养质量。本文以北京交通大学电子信息工程学院为例，详细阐述了电子信息类专业人才培养模式的探索和思考。     

User-friendly search interface for older adults: supporting search goal refreshing in working memory to improve information search strategies

ABSTRACT

This study investigates how a search interface that displays users’ ultimate query (i.e. users’ current search goal) can cope with the age-related decrease of fluid abilities and support older users’ search behaviours. 30 young and 18 older adults completed 9 search problems with a regular web browser or with the experimental search interface. Results showed that older adults spent longer time on the search engine result pages, they needed more time to reformulate, and they had more difficulties exploring the search paths elaborated. Age-differences also appeared as soon as the beginning of the search. The support tool helped older users reformulate their queries more rapidly and elaborate more flexible search strategies at the beginning of the activity. Indeed, older adults who interacted with the support tool switched to the processing of a new search path more rapidly instead of exploiting their initial query (i.e. they visited fewer websites for the initial query produced and reformulated a query instead of keeping on conducting a deeper investigation of the search results provided in the search engine result page). Implications of these findings for the design of effective support tools for older users are discussed.     

数据信息化时代下的工程造价管理

在经济不断迅猛发展的形势下,新时代的经济形式催生出一些多元化企业和职业,信息技术的不断发展使数据信息成为最具价值的财富。在信息传播极其迅速的今天,工程造价在数据信息时代下的管理模式也不断更新变化,以适应多元化的工程项目形式。因此信息数据的大量搜集和相关研究受到了各大科研机构和各类企业的高度关注。     

基于一种云计算数据保护的多级加密算法的应用研究

云计算是分布式计算技术的一种,其最基本的概念是透过网络将庞大的计算处理程序自动分拆成无数个较小的子程序,再交由多部服务器所组成的庞大系统经搜寻、计算分析之后将处理结果回传给用户。云计算中的数据泄漏已经成为云计算的巨大威胁,据不完全统计数据,仅在2019年1年,大约有超40亿条信息被泄露。这些信息涵盖科技、医疗、政府、金融、教育、制造等十几个领域数百个行业,数据泄露已经成为云计算中数据安全的巨大威胁。主要提出了一种多级加密算法,能更好地保护云计算中的数据,并能以极小的成本在云计算中得到应用。     

基于多内核兼容的国网安全浏览器关键技术研究

为解决国家电网有限公司工作人员日常工作中操作业务系统时因浏览器版本问题遇到的各种困扰,文章研究了基于多内核兼容的国网安全浏览器关键技术。通过设计研发多内核企业级浏览器,采用Chromium多进程模型,实现Chrome和IE多内核浏览。在此基础上,详细描述使用国密算法进行浏览器安全加固技术的详细做法。测试结果表明,该安全浏览器有效解决了兼容和安全问题,实现单一浏览器兼容所有业务系统,提升客户端操作体验,降低信息化系统开发和运维成本,为国家电网有限公司信息化建设发展提供扎实基础。     

Black hole entropy,the black hole information paradox,and time travel paradoxes from a new perspective

ABSTRACT

Relatively simple but apparently novel ways are proposed for viewing three related subjects: black hole entropy, the black hole information paradox, and time travel paradoxes. (1) Gibbons and Hawking have completely explained the origin of the entropy of all black holes, including physical black holes – nonextremal and in 3-dimensional space – if one can identify their Euclidean path integral with a true thermodynamic partition function (ultimately based on microstates). An example is provided of a theory containing this feature. (2) There is unitary quantum evolution with no loss of information if the detection of Hawking radiation is regarded as a measurement process within the Everett interpretation of quantum mechanics. (3) The paradoxes of time travel evaporate when exposed to the light of quantum physics (again within the Everett interpretation), with quantum fields properly described by a path integral over a topologically nontrivial but smooth manifold.     

基于深度学习的安全缺陷报告预测方法实证研究

软件安全问题的发生在大多数情况下会造成非常严重的后果，及早发现安全问题，是预防安全事故的关键手段之一.安全缺陷报告预测可以辅助开发人员及早发现被测软件中潜藏的安全缺陷，从而尽早得以修复.然而，由于安全缺陷在实际项目中的数量较少，而且特征复杂（即安全缺陷类型繁多，不同类型安全缺陷特征差异性较大），这使得手工提取特征相对困难，并随后造成传统机器学习分类算法在安全缺陷报告预测性能方面存在一定的瓶颈.针对该问题，提出基于深度学习的安全缺陷报告预测方法，采用深度文本挖掘模型TextCNN和TextRNN构建安全缺陷报告预测模型；针对安全缺陷报告文本特征，使用skip-grams方式构建词嵌入矩阵，并借助注意力机制对TextRNN模型进行优化.所构建的模型在5个不同规模的安全缺陷报告数据集上展开了大规模实证研究，实证结果表明：深度学习模型在80%的实验案例中都要优于传统机器学习分类算法，性能指标F1-score平均可提升0.258，在最好的情况下甚至可以提升0.535.除此之外，针对安全缺陷报告数据集存在的类不均衡问题，对不同采样方法进行了实证研究，并对结果进行了分析.     

Temporal information based GoP adaptation for linear video delivery schemes

An original wireless video transmission scheme called SoftCast has been recently proposed to deal with the issues encountered in conventional wireless video broadcasting systems (e.g. cliff effect). In this paper, we evaluate and optimize the performance of the SoftCast scheme according to the transmitted video content. Precisely, an adaptive coding mechanism based on GoP-size adaptation, which takes into account the temporal information fluctuations of the video, is proposed. This extension denoted Adaptive GoP-size mechanism based on Content and Cut detection for SoftCast (AGCC-SoftCast) significantly improves the performance of the SoftCast scheme. It consists in modifying the GoP-size according to the shot changes and the spatio-temporal characteristics of the transmitted video. When hardware capacities, such as buffer or processor performance are limited, an alternative method based only on the shot changes detection (AGCut-SoftCast) is also proposed. Improvements up to 16 dB for the PSNR and up to 0.55 for the SSIM are observed with the proposed solutions at the cut boundaries. In addition, temporal visual quality fluctuations are reduced under 1dB in average, showing the effectiveness of the proposed methods.     

基于GIS的航电枢纽安全监测信息管理系统设计与应用

为解决航电枢纽安全监测海量数据统筹管理以及GIS技术结合应用程度低等问题,开发了基于GIS的航电枢纽安全监测信息管理系统。倾斜摄影技术的应用实现了高效建立工程三维数字模型,通过实景模型与工程监测的结合,为监测点可视化管理及成果可视化展示提供了条件。系统实现的技术路线,可为类似工程项目提供参考。