基于非下采样轮廓波变换和多核学习的盲图像质量评价

非下采样轮廓波(Contourlet)变换具有多尺度、多方向特性,能够对图像纹理和结构信息进行精确提取,可以很好地模拟人类视觉系统的多分辨率特性,基于此提出一种基于非下采样Contourlet变换的通用型盲(无参考)图像质量评价算法。首先在空间域上对图像进行非下采样Contourlet变换;然后在各方向带中分别提取能有效反映人类视觉失真程度的特征:高频幅值、平均梯度、信息熵作为图像的特征;最后将其输入到高效的分层多核学习机中学习,预测图像的质量得分。在混合失真型数据库和3个单失真型数据库上的交叉实验结果表明,该算法性能优越,能很好地预测失真图像质量,具有很好的主客观一致性。     

基于多种群蚁群算法的柔性作业车间调度研究

针对柔性作业车间调度的特点,设计了柔性作业车间调度析取图模型,结合蚁群分工组织的工作方式,给出了基于竞争规则的多种群蚁群算法求解方法。算法中不同种群的蚂蚁被放置在析取图中不同的工序节点上,通过核心种群的引导,充分发挥蚁群协作竞争的并行高效特点,满足柔性作业车间调度的要求。仿真实验表明该算法求解柔性作业车间调度具有可行性和有效性。     

A method for stochastic multiple criteria decision making based on dominance degrees

This paper proposes a method for solving the stochastic multiple criteria decision making (SMCDM) problem, where consequences of alternatives with respect to criteria are represented by random variables with probability distributions. Firstly, definitions and related analysis of dominance degree of one probability distribution over another are given. Then, by calculating the dominance degrees, the dominance degree matrix of alternative pairwise comparisons with respect to each criterion is built. Further, using PROMETHEE II method, an overall dominance degree matrix of alternative pairwise comparisons is constructed, and a net flow of each alternative is calculated. Based on the obtained net flows, a ranking of alternatives is determined. Finally, numerical examples for the three cases are given to illustrate the use of the proposed method.     

弹性多核学习

多核学习 (MKL) 的提出是为了解决多个核矩阵的融合问题, 多核学习求解关于多个核矩阵的最优的线性组合并同时解出对应于这个组合矩阵的支持向量机(SVM)问题. 现有的多核学习的框架倾向于寻找稀疏的组合系数, 但是当有信息的核的比例较高的时候, 对稀疏性的倾向会使得只有少量的核被选中而损失相当的分类信息. 在本文中, 我们提出了弹性多核学习的框架来实现自适应的多核学习. 弹性多核学习的框架利用了一个混合正则化函数来均衡稀疏性和非稀疏性, 多核学习和支持向量机问题都可以视作弹性多核学习的特殊情形. 基于针对多核学习的梯度下降法, 我们导出了针对弹性多核学习的梯度下降法. 仿真数据的结果显示了弹性多核学习方法相对多核学习和支持向量机的优势; 我们还进一步将弹性多核学习应用于基因集合分析问题并取得了有意义的结果; 最后, 我们比较研究了弹性多核学习与另一种利用了非稀疏思想的多核学习.     

基于多特征结合与加权支持向量机的图像去噪方法

在基于支持向量机(SVM)的图像去噪方法的基础上,提出了一种基于多特征结合与加权SVM的图像去噪方法。首先,根据图像中相邻像素的相关性及椒盐噪声的特点,提取含噪图像中的多种特征;然后,利用针对不平衡数据集所改进的加权SVM分类器,识别出含噪图像中的噪声点,再利用支持向量回归机(SVR)对噪声点的原始灰度值进行回归预测;最后,重构图像以达到去噪的目的。实验结果表明,该方法能提高SVM分类器对噪声点的识别率,改善分类器的性能,并能在去噪的同时较好地保留图像的边缘信息,获得较高的峰值信噪比(PSNR)。     

基于延时比较仲裁的模拟I~2C多主通信的软件设计实现

根据模拟I2C总线多主节点通信原理,提出采用延时接收比较来实现仲裁的软件实现方法,为不具备I2C接口的普通微控制器（MCU）实现模拟I2C总线的多主节点通信,促进对I2C总线的推广应用。     

动态阻尼环境下多领导者群体机器人系统协同跟踪控制

研究了动态阻尼环境下具有多个领导者的群体机器人系统的协同跟踪问题,利用蚁群算法规则根据个体周围邻居的局部跟踪情况和领导者的需求信息确定自己的跟踪目标,实现了群体按照领导者需求分裂成不同大小的子群体进行跟踪的目的.提出了模糊自适应整定控制器参数的方法,使群体机器人系统克服环境中动态阻尼的影响,仿真结果验证了上述方法的有效...     

一种动态多目标决策模型及其应用

针对一类动态多指标决策问题。提出一种多目标多阶段动态决策模型。根据所提出的效用函数,将决策矩阵归一化到相应的效用矩阵。该效用函数以指标的平均值为参数考点,突出了“奖优罚劣”原则,提高了分辨精度。最后提出一种动态决策目标函数,并通过对５城市３年综合经济效益的评估实例,表明此方法是合理可行的。     

Evolving Teams of Predictors with Linear Genetic Programming

This paper applies the evolution of GP teams to different classification and regression problems and compares different methods for combining the outputs of the team programs. These include hybrid approaches where (1) a neural network is used to optimize the weights of programs in a team for a common decision and (2) a realnumbered vector (the representation of evolution strategies) of weights is evolved with each term in parallel. The cooperative team approach results in an improved training and generalization performance compared to the standard GP method. The higher computational overhead of team evolution is counteracted by using a fast variant of linear GP.     

Progressive Transmission of Vector Map Data over the World Wide Web

Within distributed computing environments, access to very large geospatial datasets often suffers from slow or unreliable network connections. To allow users to start working with a partially delivered dataset, progressive transmission methods are a viable solution. While incremental and progressive methods have been applied successfully to the transmission of raster images over the World Wide Web, and, in the form of prototypes, of triangular meshes, the transmission of vector map datasets has lacked a similar attention. This paper introduces a solution to the progressive transmission of vector map data that allows users to apply analytical GIS methods to partially transmitted data sets. The architecture follows a client-server model with multiple map representations at the server side, and a thin client that compiles transmitted increments into a topologically consistent format. This paper describes the concepts, develops an architecture, and discusses implementation concerns.