Design and Implementation of Youth League Member Management System of Colleges in Xinjiang

随着计算机技术和互联网的发展和普及，信息化管理高校团务已成为高校提升行政效率和服务水平的重要手段。近年来，随着新疆高校招生规模的不断扩大，各高校的团务管理成为目前诸多高校亟待解决的重要难题。随着电子校务工作的不断推进，共青团信息化的建设迫在眉睫，开发一个共青团信息管理系统是解决目前共青团工作重点、难点的有效手段，也是电子校务建设中的重要内容之一。 本文以新疆科信学院为例，结合该校团务管理的实际情况，分析了当前团务管理的发展现状和规模，设计并实现了基于C/S模式的新疆高校共青团员管理系统。首先，本文采用面向对象的分析方法，重点分析和收集该系统的业务需求，采用UML统一建模语言建立系统用例模型；...With the development of computer technology and popularization of Internet, information management of university league member work has become an important means to improve the administrative efficiency and service level. In recent years, with Xinjiang the enrollment expansion of colleges and universities, colleges and universities League affair management becomes an important problem urgently to ...学位：工程硕士院系专业：软件学院_工程硕士(软件工程)学号：X201223051

优化预测运动矢量的快速运动估计算法

提出了一种优化预测运动矢量的快速运动估计算法.在对预测运动矢量研究的基础上,根据序列图像中运动矢量的中心-中值偏置分布特性和矢量间的时空相关性,结合运动矢量的相似度分析,选用中心、中值和时间相关的三个矢量作为基本预测矢量.设置相似门限来减少由三个空间相邻块预测矢量带来的大量冗余信息,对算法中关键的门限技术进行了改进.实验结果证明,本文算法对各种类型的运动序列都有很强的自适应性,在保持搜索准确度的同时,可大幅度提高运动估计的速度,其平均搜索速度是FS的208倍,明显优于PMVFAST的146倍、MVFAST的77倍、DS的55倍,提高了视频压缩中现有的运动估计算法的性能. (A new Optimizing Predictive Motion Vector Fast Motion Estimation Algorithm (OPM-VFMEA) is proposed. Based on the center-median-biased distributed characteristic of the motion vector of real-world sequences and the high space-time correlation of adjacent block's motion vector, combined with similar analysis of the motion vectors, the center, median, forward vector are selected as the basic predictive motion vector to predict the current one, then the similar threshold is set to reduce the redundant information from the three space adjacent block motion vectors. In addition, the adaptive threshold to enable half-stop is also represented. Experiment results show that the algorithm is able to adapt to all types of video sequences and can offer a high performance of PSNR. The search speed of the algorithm is faster than that of the existing well-known algorithms. For case examined, it is about 208 times faster than that of FS in average, which is superior to that of 146 times for PMV-FAST, 77 times for MVFAST and 55 times for DS. Therefore, the algorithm improves the performance of existing motion estimation algorithms.)国家自然科学基金资助项目(No.60472081);航空科学基金资助项目(No.05F07001

Novel fast motion estimation algorithm based on optimizing predictive motion vector

提出了一种优化预测运动矢量的快速运动估计算法。在对预测运动矢量研究的基础上,根据序列图像中运动矢量的中心-中值偏置分布特性和矢量间的时空相关性,结合运动矢量的相似度分析,选用中心、中值和时间相关的三个矢量作为基本预测矢量。设置相似门限来减少由三个空间相邻块预测矢量带来的大量冗余信息,对算法中关键的门限技术进行了改进。实验结果证明,本文算法对各种类型的运动序列都有很强的自适应性,在保持搜索准确度的同时,可大幅度提高运动估计的速度,其平均搜索速度是FS的208倍,明显优于PMVFAST的146倍、MVFAST的77倍、DS的55倍,提高了视频压缩中现有的运动估计算法的性能。A new Optimizing Predictive Motion Vector Fast Motion Estimation Algorithm(OPMVFMEA) is proposed.Based on the center-median-biased distributed characteristic of the motion vector of real-world sequences and the high space-time correlation of adjacent block's motion vector,combined with similar analysis of the motion vectors,the center,median,forward vector are selected as the basic predictive motion vector to predict the current one,then the similar threshold is set to reduce the redundant information from the three space adjacent block motion vectors.In addition,the adaptive threshold to enable half-stop is also represented.Experiment results show that the algorithm is able to adapt to all types of video sequences and can offer a high performance of PSNR.The search speed of the algorithm is faster than that of the existing wellknown algorithms.For case examined,it is about 208 times faster than that of FS in average,which is superior to that of 146 times for PMVFAST,77 times for MVFAST and 55 times for DS.Therefore,the algorithm improves the performance of existing motion estimation algorithms.国家自然科学基金资助项目(No.60472081);; 航空科学基金资助项目(No.05F07001