Generalized reliability measures of Kalman filtering for precise point positioning

To deal with the adverse influence of model failures on Kalman filtering (KF) estimation, it is necessary to investigate the generalized reliability theory, including the model failure detection and identification method as well as the separability and reliability theories. Although the generalized reliability theory for the least square has been discussed for many decades, the generalized reliability theory of KF is not widely discussed. Compared with the least square, KF includes not only the measurement model, but also the dynamic model. In KF, the predicted value of the state parameters from the dynamic model is considered as pseudomeasurements and combined with the observed measurements to compose the form of the least square. According to the reliability of the least square, the generalized reliability of KF is derived. Then, the dynamic model failure of precise point positioning is simulated to demonstrate the usage of the generalized reliability theory. The results show that the adverse influence of the dynamic model failure is more severe than that of the measurement model. Moreover, it is recommended that the model failure identification should always be used even if the overall model test passes. It is shown that the derived generalized reliability measures are suitable for the generalized KF estimation.     

多学科协同设计系统的协商策略模型

分析多学科协同设计系统中协商的特点，提出博弈论和协商理论在协商策略中的应用．对协商策略进行参数化、公式化，通过对参数及公式的处理实现推荐方案的形成，从而指导协商过程向收敛方向进行，并保证系统的利益最大化．实践证明，该协商策略可行有效，对整个协同设计过程的顺利进行起到了关键性的作用．     

关于艺术图书馆联合虚拟参考咨询建设的探讨

介绍了联合虚拟参考咨询服务的概念和国内外联合参考咨询服务的现状,分析艺术图书馆建设联合虚拟参考咨询的可行性,探讨了具有艺术图书馆特色的联合虚拟参考咨询的发展策略。     

基于中值滤波去噪和小波融合的乳腺图像增强方法

将小波变换的多分辨率分析理论应用于图像融合中,提出了一种既能改善图像整体对比度,同时也能增强乳腺图像的组织细节结构的方法.实验结果说明了该方法的有效性.     

连片叠前深度偏移处理技术在孤西地区的应用

孤西断裂带地质构造十分复杂,速度横向变化较大,该区已进行了三维连片处理,但潜山的构造背景及准确细致的构造形态仍不清楚,制约了对该区带的深入地质研究和评价。采用匹配滤波、叠前数据规则化等技术对叠前连片道集进行精细处理后,再进行叠前深度偏移迭代,并利用层析成像法对层速度模型进行校正,成像剖面信噪比较高、潜山归位准确,内幕清楚,发现和落实了多个圈闭构造。     

微生物学合作式教学改革的探讨和思考

微生物学是生命科学领域中的基础支撑学科。文章介绍了浙江万里学院微生物学课程组的教学实践经验，即坚持以教学内容改革为核心，优化教学方法和手段，通过合作式教学、多媒体和教学网站等现代化教学形式实现教学中心的转移，充分体现现代化教学理念，发挥学生的主体作用。通过采取以上教学体系，极大调动了学生的积极性和主动性，教学效果有了明显的提高。     

多方法融合来解决人脸检测中的光照补偿

人脸检测有广泛的应用前景,但目前的许多检测算法对光照有一定的要求,过亮、过暗或偏光现象的存在使检测率急剧下降。本文提出一种多方法融合的思想来解决光照补偿问题,并给出了基于空域和频域的几种具体的解决方案。实验表明,这种多方法融合的思想能有效地解决人脸检测中的光照补偿问题,使人脸检测率得到明显的提高。     

一种H．264／AVC去方块效应滤波算法

针对去方块效应滤波的边界强度判断争滤渡过程计算量大的情况，本文提出了一种新的去方块效应滤波算法，分别对边界强度判断和穗渡过程的算法进行优化。综合两部分的优化算法，通过实验结果得知，降低的算法复杂度乎均值达到了9．82％、峰值信噪比（PSNR）乎均值也增加了0．119dB。该算法既降低了算法的复杂度又改善了压缩后视频的质量。     

Community-Based User Domain Model Collaborative Recommendation Algorithm

Collaborative Filtering (CF) is a commonly used technique in recommendation systems. It can promote items of interest to a target user from a large selection of available items. It is divided into two broad classes: memory-based algorithms and model-based algorithms. The latter requires some time to build a model but recommends online items quickly, while the former is time-consuming but does not require pre-building time. Considering the shortcomings of the two types of algorithms, we propose a novel Community-based User domain Collaborative Recommendation Algorithm (CUCRA). The idea comes from the fact that recommendations are usually made by users with similar preferences. The first step is to build a user-user social network based on users’ preference data. The second step is to find communities with similar user preferences using a community detective algorithm. Finally, items are recommended to users by applying collaborative filtering on communities. Because we recommend items to users in communities instead of to an entire social network, the method has perfect online performance. Applying this method to a collaborative tagging system, experimental results show that the recommendation accuracy of CUCRA is relatively good, and the online time-complexity reduces to O.n/.     

Kalman滤波在辐射图像降噪处理中的应用

为改善辐射图像质量,提出了一种基于Kalman滤波的降噪算法。该方法分析了辐射图像背景噪声的特征,在合理假设其为一阶Gaussian有色噪声的基础上改写了图像的观测方程;同时,采取NSHP(non-symmetrichalfplane)模型来构造图像的过程方程。然后使用Kalman滤波算法对图像进行滤波。实验结果表明,该方法有效减弱了辐射图像中混有的噪声,和传统滤波方法相比,更好地保持了图像的细节信息,体现了自适应的优点。这表明了Kalman滤波在辐射图像降噪处理中的潜力。