Indoor productivity measured by common response patterns to physical and psychosocial stimuli

Productivity is the essential organizational outcome. It is vaguely understood and difficult to quantify, especially at the individual level in office companies. Our objective was to quantify and describe the part of productivity, which is systematically influenced by the indoor environment. We, therefore, introduce the concept 'indoor productivity,' which is defined by measuring operations. We used the multivariate method Marker Object Projection to transform questionnaire data into an 'indoor productivity index' (IPI), which reflects the relative impact of the variables that systematically influence indoor productivity. The reasoning behind IPI is that indoor productivity cannot be separated from experienced indoor environment and wellness at work. IPI is calculated for each respondent based on own, colleagues', and two fictive respondents' answers. Conservatively, IPI was calculated to constitute about 25% of what determines the productivity of an individual. By using IPI as dependent variable in multiple regression analyses, the relative contribution of all indoor variables was identified. Physical indoor variables were as important as psychosocial ones. During the cold seasons, 'dry air' was the most important factor reducing IPI.     

Conjugate natural convection in air filled tube inserted a square cavity

Numerical analyses of fluid flow and heat transfer due to buoyancy forces in a tube inserted square cavity filled with fluid were carried out by using control volume method in this study. The cavity was heated from the left wall and cooled from the right isothermally and horizontal walls were adiabatic. A circular tube filled with air was inserted into the square cavity. The case that the inside and outside of the tube were filled with the same fluid (air) was examined. Varied solid materials were chosen as the tube wall. Results were obtained for different Rayleigh numbers (Ra = 10⁴, 10⁵ and 10⁶), thermal conductivity ratio of the fluid to the tube wall (k = 0.1, 1 and 10) and different location centers of the tube (c (0.25 ≤ x ≤ 0.75, 0.25 ≤ y ≤ 0.75)). Comparison with benchmark solutions of the natural convection in a cavity was performed and numerical results gave an acceptable agreement. It was found that varied location of the tube center can lead to different flow fields and heat transfer intensities which are also affected by the value of Rayleigh number.     

基于LOM的人工智能教学资源整合与个性化学习导航

学习对象元数据(LOM,Learning Object Metadata)是IEEE采用的一种表示学习对象(教学资源)信息的规范,本文采用LOM规范管理网络教学资源,通过LOM中的"关系"元素表示教学资源之间的依赖关系,构造从LOM到扩展知识结构图的转换接口,从而利用基于扩展知识结构图的教学规划方法为学习者提供个性化学习导航。以人工智能教学资源整合和学习导航为例加以说明。     

浅谈《周易》中蕴含的设计思维

随着时代的发展,设计日益以一种文化的形式影响和改变着社会生活方式,文化的内涵是设计中不可忽视的要素,尤其在全球文化一体化危机中,人们更青睐于设计作品表达的精神内涵,通过造型形象所传达的内在文化性、思想性,以及浓厚的深远意境和文化品味。于是,越来越多的设计师把关注的目光投向了中国传统文化的发掘上。《周易》是我国古代重要的认识世界的首部经书,考察我国古代的艺术思维观念必然对今天的设计文化内涵的形成具有借鉴意义。     

交互式多媒体中的艺术形态研究

计算机和人类所构建的交互式环境已经进入了我们的生活,交互形式的艺术性也正逐渐的被人们所重视,真实世界与虚拟世界的界限正在被逐渐淡化,人作为"人机交互"的一个主观能动者存在于交互形式中,而形式本身所隐含着文化、艺术正在逐渐的影响着交互式多媒体的艺术形态。     

基于高斯统计模型的场景分类及 约束机制新方法

 针对场景分类问题,提出了一种基于高斯统计模型的方法,无需手动标记特征表示的场景类别信息,通过无监督聚类和高斯模型的参数学习建立场景语义和"基元"信息的概率对应关系,实验结果说明,提出的方法较其他有监督的场景分类方法高效,与复杂层状模型下的分类结果非常近似.同时,初步研究了场景分类对目标分析的约束机制,通过实验证明场景信息能为目标分析提供有效的先验知识,限定不同场景下目标出现的可能性,提高了目标分类的准确性.     

基于中间件技术的电力系统数字动态仿真系统

构建了一种基于通信中间件技术的软总线技术框架,实现了电力系统网络拓扑、继电保护仿真、机电暂态并行仿真等功能模块的协调运行,共同完成电力系统全数字动态仿真。该系统拓展了传统仿真程序的应用功能,可以模拟变电站内部详细的接线变化,可以模拟继电保护的动作过程,可以在高性能计算机群上进行大规模交直流电网的全数字动态实时仿真等,其仿真模型和计算精度与电力系统分析综合程序(PSASP)等同,适用于电力企业进行电网分析计算、教学与培训、电力系统故障再现与分析、连锁故障反应研究、模拟电网运行作为电网调度自动化系统模拟数据源等。     

基于高速DSP的实时运动目标识别跟踪系统

研究了实时视频采集和高速目标识别检测、跟踪系统模型,分析了功能状态.在对检测、跟踪系统任务流和算法分析的基础上研究了基于高速DSP、大规模可编程器件和高速PCI通信总线架构的可行性系统实现方案.该系统采用复用总线设计,提高了系统资源利用率和系统可靠性.实验结果表明,该系统具有实时监测场景和在复杂背景下实时检测识别和跟踪运动目标的能力.     

基于硬盘的主机防客体重用性能的检测方法

针对不安全客体重用的残留数据而导致信息泄漏的问题,提出一种基于硬盘的主机防客体重用性能的检测方法：先检查待检测主机是否安装数据删除工具,如果未安装,该主机存在不安全客体重用;如果安装了,则使用检测装置检测数据删除工具的删除强度,再根据检测结果判断待检测主机的防客体重用性能。该方法简单,容易实现,操作步骤安全、可执行强。