A data access framework for service-oriented rich clients

Facilitated by the SOA and new Web technologies, Service-Oriented Rich Clients (SORCs) compose various Web-delivered services in Web browser to create new applications. The SORCs support client-side data storage and manipulation and provide more features than traditional thin clients. However, the SORCs might suffer from data access issues, mainly due to both client-side incompatible data sources and server-side improper or even undesirable cache strategies. Addressing the data access issues, this paper proposes a data access framework for SORCs. The main contributions of this paper are as follows. First, the framework makes the SORCs accommodate heterogeneous local storage solutions and diverse Web browsers properly. The framework abstracts the underlying details of different local storages and selects the most proper data sources for current SORC in use. Secondly, the framework provides a cache mechanism, which supports client-side customized cache strategies. An adaptive technique for the strategies is also proposed to adjust cache strategies based on users?? historical actions to achieve better performance.     

A new parallel particle filter face tracking method based on heterogeneous system

This paper proposed a multi-cue-based face-tracking algorithm with the supporting framework using parallel multi-core and one Graphic Processing Unit (GPU). Due to illumination and partial-occlusion problems, face tracking usually cannot stably work based on a single cue. Focusing on the above-mentioned problems, we first combined three different visual cues??color histogram, edge orientation histogram, and wavelet feature??under the framework of particle filters to considerably improve tracking performance. Furthermore, an online updating strategy made the algorithm adaptive to illumination changes and slight face rotations. Subsequently, attempting two parallel approaches resulted in real-time responses. However, the computational efficiency decreased considerably with the increase of particles and visual cues. In order to handle the large amount of computation costs resulting from the introduced multi-cue strategy, we explored two parallel computing techniques to speed up the tracking process, especially the most computation-intensive observational steps. One is a multi-core-based parallel algorithm with a MapReduce thread model, and the other is a GPU-based speedup approach. The GPU-based technique uses features-matching and particle weight computations, which have been put into the GPU kernel. The results demonstrate that the proposed face-tracking algorithm can work robustly with cluttered backgrounds and differing illuminations; the multi-core parallel scheme can increase the speed by 2?C6 times compared with that of the corresponding sequential algorithms. Furthermore, a GPU parallel scheme and co-processing scheme can achieve a greater increase in speed (8×?C12×) compared with the corresponding sequential algorithms.     

基于视频的现实人物运动创作

提出一种根据用户指定的人体运动和观察视角生成真实感视频的方法.首先采集演员进行少数基本运动时的多视角视频数据库,并使用无标记运动捕捉的方法获得任意时刻人体对应的骨骼和3D模型.其次,用户对人体骨架指定运动并设定视角,以此定义目标视频.实验结果验证了文中方法能够利用有限的数据库合成演员在用户指定运动和视角下的真实感视频.     

基于遥感案例推理的海岸带养殖信息提取

目前基于目视解释或光谱分类的养殖信息提取效率低,难以克服由于地物混杂带来的“椒盐”噪声现象且难以融合地学知识。针对养殖信息提取中存在的问题,首先在分析现有养殖信息提取方法和案例推理CBR(Case\|Based Reasoning)用于遥感图像处理的基础上,提出基于遥感案例推理的海岸带养殖信息提取的研究思路;其次,结合养殖区域的空间特征和属性特征,构建案例的表达模型以及CBR相似性推理模型;最后,对不属于案例构建区的粤西沙田镇进行养殖信息提取的CBR实验,精度达到84.56%。对比CBR方法和传统监督分类方法可知,CBR方法是实现海岸带养殖信息快速准确提取的一种有效手段。     

一种新的SAR图像斜距多普勒定位模型的直接解法

斜距多普勒定位模型是实现SAR图像无控制点定位的基本模型,因此如何高效准确地获得RD方程组的解成为实现SAR图像无控制点几何定位的根本问题,也是实现SAR自动图像定位的关键。首先利用地固坐标系下目标速度为零的特性,简化RD模型并整理为一元四次方程,然后利用一元四次方程求根方法,推导出斜距多普勒定位模型的明确数学解析解,并与常用的数值迭代求解方法进行比较分析,仿真结果验证了推导的正确性。新解法具有无需设置初始值,易于编程实现,鲁棒性高的特点。     

一种基于偏最小二乘法的室外光照估计算法

针对固定视点下的室外场景在线视频光照求解问题,提出一种基于偏最小二乘室外场景实时光照估计算法.在离线阶段提取场景中对光照变化较为敏感的区域,并将这些区域像素值的均值与方差的无偏估计作为场景图像的统计参数,再利用偏最小二乘回归分析建立场景的光照参数与图像统计参数之间的模型;在在线阶段使用所建立的模型实时估计视频每一帧的光照条件.实验结果表明,使用该算法所求解的光照参数对虚拟物体进行绘制并将其融入视频中后,合成场景真实感很强.     

一种调整簇阀值的加速聚类分析算法及其应用

针对航运信息中大样本聚类问题,根据k-means聚类过程中大部分簇的调整发生在初始迭代阶段的特性,提出了一种调整簇阀值的加速聚类方法,并对该算法进行实例测试,实验结果证明了该方法在满足原有的聚类精度的基础上,减少了聚类的计算量。本文将该方法应用到船舶航线设计中。     

深入浅出讲解“Windows程序设计—Visual C++”课程

针对Windows程序设计——Visual C++课程涉及知识面广、实践性强、复杂难学的特点,分析了该课程难点之所在及传统教学过程中存在的问题,并从教学内容、教学方法和模式等方面采取了一些改革措施。实践证明,改革措施能够激发学生的编程兴趣,提高学生自主学习的能力,使学生较快进入状态,提高教学质量。     

虚拟现实技术在反恐训练中的研究进展

介绍了虚拟现实技术的国内外研究现状,以及仿真技术与虚拟现实技术结合使用的发展趋势.为了更好地履行反恐使命,适应形势的发展,有必要提高反恐教学训练质量,创新反恐行动教学训练手段.将仿真技术和虚拟现实技术应用于路边炸弹的虚拟及仿真,能使反恐受训者不受时间、空间、经费和器材的限制,利用各种3D虚拟模型任意组装不同起爆方式下的路边炸弹,拓展其想象空间和创新思维,使之对路边炸弹的结构组成、工作原理及爆炸效应等有深刻理解.     

计算机软件数据接口的应用分析

伴随计算机技术的不断发展进步,而各种不同的计算机软件由于开发商不同,其数据结构也各种各样,假如用户需要操作两套或者两套以上的软件,需要根据计算机提供对应的格式基础,按照计算机软件保留各种格式的数据结果,这样无形中就增加了用户的工作量,并且软件处理流程链也容易中断。而计算机软件的数据接口可以很好的解决这类问题。本文就针对计算机软件数据接口的应用进行分析研究。