Detection and Classification of Edges in Color Images

边缘检测作为计算机视觉的重点和难点之一，它不仅需要正确的检测边缘，还需要正确的分类边缘。在传统的灰度图像中，边缘分类基本不可完成，而在彩色图像中可利用灰度图像没有的颜色信息进行分类。本文理论分析和实验结果表明，已有的彩色图像边缘检测算法容易丢失低对比度区域边缘、对颜色信息利用不足，彩色图像边缘分类算法存在区分能力有限、对外部照明条件敏感等缺点。本文意在寻求以上问题的解决办法，提供适合彩色图像边缘检测和分类的算法。 彩色图像边缘检测可分为输出融合法、多维梯度法和向量法三大类。通过比较发现向量法是三者中最好的，但是这些算法均没有有效利用区域信息，因此在低对比度区域易丢失边缘。本文提出基于区域距离...Edge detection is one of the most important and difficult tasks in computervision. It requires accurate edge detection and classification. However, edgeclassification is difficult or even impossible in gray-level images. Color images cansolve this problem by introducing extra color information. The theoretical analysisand experimental results in this thesis show that the existing color edge detect...学位：工学硕士院系专业：信息科学与技术学院通信工程系_信号与信息处理学号：2005130242

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

4MW_e生物质气化联合循环发电系统的寿命周期评价

对我国正在研发的4MWe生物质气化气体机—汽轮机联合循环发电系统进行了寿命周期评价，评价中考虑了由于稻草作为燃料使用，没有还田导致的土壤肥力流失因素。系统边界包括了4个子系统，即化肥生产，生物质运输，发电转换过程，电厂建设和解体子系统。比较了寿命周期评价结果与煤气化发电系统

中国生物质气化联合循环发电系统的费用及容量选择

基于中国4MW生物质气化燃气内燃机-汽轮机联合循环发电系统的生物质燃料供给链,建立发电过程费用模型,估算系统的电力费用。结果表明：电力费用为0.38元/（kW.h）,稍高于平均上网电价（0.25～0.35元/（kW.h））,低于平均市场零售价（0.50元/（kW.h））。根据燃料费用和发电过程费用模型,讨论生物质电厂容量规模效益。依据中国当前的技术水平和生物质燃料（稻草）供给状况,作为分布式生物质发电系统,6～8MW之间的容量是可行的选择

中国4MW生物质气化联合循环发电系统的外部费用

描述一种外部费用估算方法--ExternE方法,并应用ExternE项目研究结果,估算4MW生物质气化联合循环发电系统的外部费用.本系统的外部费用远低于采用传统化石燃料的发电技术外部费用,如果将外部费用内部化,相信会增强生物质气化发电系统的市场竞争力

4MWe生物质气化联合循环发电系统的寿命周期评价

对我国正在研发的4MWe生物质气化气体机—汽轮机联合循环发电系统进行了寿命周期评价，评价中考虑了由于稻草作为燃料使用，没有还田导致的土壤肥力流失因素。系统边界包括了4个子系统，即化肥生产，生物质运输，发电转换过程，电厂建设和解体子系统。比较了寿命周期评价结果与煤气化发电系统

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

Effects of Fermented Soybean Meal Supplementation on Ammonia Emissions from Piglet Manure

研究了枯草芽孢杆菌、酿酒酵母和乳杆菌混合发酵豆粕对仔猪粪便氨气排放的影响。以基础日粮作为对照,分别添加7.33%湿发酵豆粕和5%干发酵豆粕,对75头41日龄的仔猪进行28d的饲养,然后利用箱式堆肥装置对仔猪粪便进行7d的静置产氨试验。结果表明,湿发酵豆粕组仔猪粪便1d和7d产氨量都显著低于干发酵豆粕组（P〈0.05）,干发酵豆粕组仔猪粪便1天和7天产氨量都显著低于对照组（P〈0.05）,湿、干发酵豆粕组仔猪粪便1d产氨量较对照组分别降低了33.46%、13.39%,7d产氨量较对照组分别降低了23.53%、13.26%。由此可见,添加7.33%湿发酵豆粕或5%干发酵豆粕均可以减少粪便氨气排放,前者效果更好。This study aims to evaluate the effects of fermented soybean meal by Bacillus subtilis, Saccharomyces cerevisiae and Bacillus lactis on manure ammonia emission of piglets. A total of 75 piglets with an initial body weight of 13.14 ＋ 0.22 kg were used in four weeks feeding trial, which was conducted using diets containing 7.33 % wet-fermented soybean meal or 5 % dry-fermented soybean meal, respective- ly. The manure of piglets was collected to a composting chamber to determine the ammonia production for 7 days. The results showed that the ammonia production of manure in wet-fermented soybean meal group was significantly lower than that in dry-fermented soybean meal group （P〈0.05）, and the ammonia pro- duction of manure in dry-fermented soybean meal group was significantly lower than that in control group （P〈0.05）. Compared with control group, the ammonia production of manure for both wet-fermented soy- bean meal group and dry-fermented soybean meal group decreased by 33.46% and 13.39% respectively on the first day, and by 23.53% and 13.26% in 7 days. In conclusion, the addition of 7.33% wet-fermented soybean meal or 5% dry-fermented soybean meal could reduce ammonia emission of manure, and wet-fer- mented soybean meal had a higher emission reduction compared with dry-fermented soybean meal