基于OpenLayers的矿场人员监控系统的研究与设计

矿区工作人员的人身安全问题和工作职责问题一直困扰着用工单位。有没有办法实时监控到矿工,又不用花费太高的成本呢?本文介绍了一种基于OpenLayers、Geoserver、J2EE的矿场人员监控的WebGIS应用的设计。     

关于节目主持人形象塑造教学过程中的技巧探析

节目主持人的形象直接影响着整个节目的质量,文章针对节目主持人形象问题的塑造展开了研究和分析,同时结合在实际教学中经常出现的问题,从主持人形象要求教学模式的实际情况出发,阐述和分析了主持人形象塑造教学过程中的教学技巧和方法。     

电力信息自动化系统中Web技术时间应用分析

在我国的变电所的分布不是非常集中,并且变电的设备也较多,因此精确管理难度和宏观调度都有很大的增加。WEB技术可以使得非常简单的浏览和开发信息,并且可以使得变电所之间的信息交流便得增加,因此电力信息自动化系统的WEB技术应用越来越广泛。     

利用Applet制作电子相册

本文通过介绍Applet的体系结构和其生命周期以及如何创建和执行Applet程序,介绍了电子相册的制作过程。     

支持多种闪存启动的U-Boot实现方法的改进

标准的U-Boot目前不支持从NAND Flash启动,而现有的修改U-Boot实现从NAND Flash启动的方法无法识别新的大页NAND Flash,也没有进行坏块检测。针对上述问题,提出获取NAND Flash页大小和块大小信息的通用方法,并实现了坏块检测功能。此外,对现有的上电后自动识别系统是从NOR还是从NAND Flash启动的方法进行了改进。将U-Boot-2010.09修改并移植到基于S3C2440A处理器的mini2440开发板上,运行结果表明,实现了U-Boot从NOR和NAND Flash的双启动,扩展了U-Boot的功能。     

一种新的知觉分割模型*

根据知觉的最新理论研究和实验结果,提出一种新的知觉模型,并用于考查计算机视觉中的分割问题.分割问题实质上是知觉表达问题,现在分割的困难性可能是知觉上局部到整体的还原论假设造成的;分割可能不是一次完成的,而是经过整体到局部的过程才最终完成.新的知觉模型将对建立更好的分割模型提供理论基础.     

CORBA技术在现场设备通信中的应用*

首先简要介绍CORBA体系结构,阐述了利用CORBA的代理机制,通过代理屏蔽不同通信协议差异,以实现设备之间通信的集成策略.该机制能够方便地实现不同协议设备之间的通信集成,而且便于系统扩展,并兼容多种操作系统平台.最后结合具体实例给出现场设备的集成方案.     

In-Plane Cracking Behavior and Ultimate Strength for 2D Woven and Braided Melt-Infiltrated SiC/SiC Composites Tensile Loaded in Off-Axis Fiber Directions

The tensile mechanical properties of ceramic matrix composites (CMC) in directions off the primary axes of the reinforcing fibers are important for the architectural design of CMC components that are subjected to multiaxial stress states. In this study, two-dimensional (2D)-woven melt-infiltrated (MI) SiC/SiC composite panels with balanced fiber content in the 0° and 90° directions were tensile loaded in-plane in the 0° direction and at 45° to this direction. In addition, a 2D triaxially braided MI SiC/SiC composite panel with a higher fiber content in the ±67° bias directions compared with the axial direction was tensile loaded perpendicular to the axial direction tows (i.e., 23° from the bias fibers). Stress–strain behavior, acoustic emission, and optical microscopy were used to quantify stress-dependent matrix cracking and ultimate strength in the panels. It was observed that both off-axis-loaded panels displayed higher composite onset stresses for through-thickness matrix cracking than the 2D-woven 0/90 panels loaded in the primary 0° direction. These improvements for off-axis cracking strength can in part be attributed to higher effective fiber fractions in the loading direction, which in turn reduces internal stresses on weak regions in the architecture, e.g., minicomposite tows oriented normal to the loading direction and/or critical flaws in the matrix for a given composite stress. Both off-axis-oriented panels also showed relatively good ultimate tensile strength when compared with other off-axis-oriented composites in the literature, both on an absolute strength basis as well as when normalized by the average fiber strength within the composites. Initial implications are discussed for constituent and architecture design to improve the directional cracking of SiC/SiC CMC components with MI matrices.     

凹凸棒粘土用作高水速凝注浆悬浮剂

以凹凸棒粘土作为高水速凝固化充填材料的悬浮稳定剂，考察了不同制浆机械对凹凸棒粘土制浆率的影响。采用高剪切混合乳化机预制的1％凹凸棒粘土浆配制高水速凝固化充填材料甲、已料单浆可获得满意的悬浮稳定效果。其充填体结石抗压强度早期发展迅速，后期持续增长。采用此工艺，注浆料的材料成本仅增加2％。     

Generalized Transfer Subspace Learning Through Low-Rank Constraint

It is expensive to obtain labeled real-world visual data for use in training of supervised algorithms. Therefore, it is valuable to leverage existing databases of labeled data. However, the data in the source databases is often obtained under conditions that differ from those in the new task. Transfer learning provides techniques for transferring learned knowledge from a source domain to a target domain by finding a mapping between them. In this paper, we discuss a method for projecting both source and target data to a generalized subspace where each target sample can be represented by some combination of source samples. By employing a low-rank constraint during this transfer, the structure of source and target domains are preserved. This approach has three benefits. First, good alignment between the domains is ensured through the use of only relevant data in some subspace of the source domain in reconstructing the data in the target domain. Second, the discriminative power of the source domain is naturally passed on to the target domain. Third, noisy information will be filtered out during knowledge transfer. Extensive experiments on synthetic data, and important computer vision problems such as face recognition application and visual domain adaptation for object recognition demonstrate the superiority of the proposed approach over the existing, well-established methods.