突发事件应急管理中的情景适应度研究

在突发事件的处置过程中,每个阶段对情景的确定决定了突发事件应急管理的工作方式和决策制定的指向性,从而影响整体应急管理工作的总体决策判断。本文主要针对突发事件应急情景选取问题,由粗到细的采用具有语义接近范围的情景适应度方式和情景属性云匹配方式进行情景确定问题的收敛,从而能够相对精确的确定应急处置过程中的情景,为系统决策提供支持。     

云计算在高校校园网资源管理中的应用

校园网以云计算为核心架构，可以实现基础设施与实际应用的分离，解决校园网面临的资源共享、设备更新、管理统一等问题，促进教师的教学和科研工作，丰富学生的学习和生活，并为资源的存储和安全提供的保障。     

Arranging sensations: smell and taste in augmented and virtual reality

The development of digital taste and smell underscores the importance of cultural dimensions of bodily perception in augmented reality (AR) and virtual reality (VR) devices. This can be seen in Vocktail and Season Traveller, two digital devices incorporating taste and smell. Vocktail is an AR technology that augments the experience of drinking water, or even air, through the electrical stimulation of tastebuds and the manipulation of color and smell. Season Traveller is a VR game in which the user moves through four seasonal landscapes. It uses wind, odor, and temperature in addition to the more standard audio-visual displays. The cultural dimensions of these devices can be examined using phenomenological terms. They instigate perceptual circuits, and call on and create sedimented habits. Although VR and AR are often thought of in terms of their similitude to reality, understanding Vocktail and Season Traveller this way illustrates the world-creating dimension of multisensory devices. These technologies structure and shift thresholds of taste and smell, reworking past perceptual styles and habits to develop new perceptual experiences. In so doing, Season Traveller and Vocktail throw to the fore questions about the conditions according to which people exercise their senses in digitally dominated environments.     

基于C／S和B／S混合模式的多媒体电子阅览室管理系统设计

高职院校多媒体电子阅览室是用户获取信息和学习的重要场所,如何能进一步完善和发展它需要有效的管理系统和具有更高素质的管理队伍。从网络化、一体化、多元化的理念出发,采用三层C/S和B/S两种混合模式,在用户管理,资源管理,安全管理三个方面展开论述,为现代多媒体电子阅览室提出了方便实用、安全有效的管理系统设计方案,以供大家探讨。     

航运大数据管理及其在公共服务领域的应用

大数据管理是当前港口航运业关注的热点之一,对航运大数据的有效分析和利用能够为政府相关部门和功能性国企在公共服务领域发挥积极作用提供基础数据的支撑。航运大数据管理在实际应用中存在大数据人才储备不足、数据安全监管规则缺失、数据资产价值评估困难和政策约束影响数据共享等诸多难点。大数据管理可以依托云计算平台提供基础硬件设施,通过建设完善的数据治理构架,针对不同数据使用场景进行分区域管理,建立开放共享的大数据生态体系。航运大数据应用到公共服务领域中,可以通过构建客观精准的大数据航运指数快速反映行业变化,使用动态监控集装箱堆场数据实现箱管智能调度,对进出口企业征信以促进供应链金融发展,实时监控报关数据以降低风险损失。     

基于Briefcase模型的MIS系统的设计与实现

介绍了ADO下Briefcase软件模型的原理 ,并在Delphi 5 .5中利用其ADOExpress组件进行设计和实现了Briefcase软件模型的分布式MIS系统的应用 ,该模型的应用为分布式数据库软件的稳定性和强健性提供了有力保障     

我国农村信息化平台建设架构研究

农村信息化建设是推进传统农业向现代农业演进的必要条件,探讨农村信息化平台建设架构有着重要的意义。综合分析了农村信息化建设的需求、存在的问题,提出了政府组织协调、运营商建设的农村信息化建设模式,设计了一体化的农村信息化平台建设架构。平台建设架构上分省、市、县三级部署,形成“四层级两保障”门户结构。综合平台体系结构灵活、部署方便,能有效地解决农村信息化数据采集、数据共享的困难,人机交互人性化程度不高,用户使用不便,缺乏持续发展的有效运营机制等问题。     

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

Summary.  Structured additive regression models are perhaps the most commonly used class of models in statistical applications. It includes, among others, (generalized) linear models, (generalized) additive models, smoothing spline models, state space models, semiparametric regression, spatial and spatiotemporal models, log-Gaussian Cox processes and geostatistical and geoadditive models. We consider approximate Bayesian inference in a popular subset of structured additive regression models, latent Gaussian models , where the latent field is Gaussian, controlled by a few hyperparameters and with non-Gaussian response variables. The posterior marginals are not available in closed form owing to the non-Gaussian response variables. For such models, Markov chain Monte Carlo methods can be implemented, but they are not without problems, in terms of both convergence and computational time. In some practical applications, the extent of these problems is such that Markov chain Monte Carlo sampling is simply not an appropriate tool for routine analysis. We show that, by using an integrated nested Laplace approximation and its simplified version, we can directly compute very accurate approximations to the posterior marginals. The main benefit of these approximations is computational: where Markov chain Monte Carlo algorithms need hours or days to run, our approximations provide more precise estimates in seconds or minutes. Another advantage with our approach is its generality, which makes it possible to perform Bayesian analysis in an automatic, streamlined way, and to compute model comparison criteria and various predictive measures so that models can be compared and the model under study can be challenged.     

On evaluating interactive statistical program packages

Most statistical computing for data analysis has come to depend upon statistical program packages. In recent years, interactive computing has become widespread both on large time-sharing systems and on mini-computers. This paper identifies ways in which interactive statistical software packages differ from batchoriented software and discusses evaluation considerations pertaining specifically to interactive packages.