基于Multi-Agent的供应链系统模型及其仿真

针对具有复杂自适应特征的供应链系统,设计了一个基于multi-agent的制造业供应链系统仿真模型.该模型分别从企业主体层和业务流程层构建供应链系统的agent模型,通过各独立ageIlt之间的来实现系统从接到客户订单到交付产品的整个过程.通过将任务分解并引入合同网模型来建立制造商与供应商之间的高效协商机制.通过在swarm平台上的系统仿真实验表明,该模型可较好的反映供应链内部的运行状况,并有良好的测试效果和稳定性.     

基于协同Agent的状态监控器软件构架研究

为了在嵌入式数据库(EDB)中加入状态监控的功能,解决状态监控器软件构架设计与实现方法问题,提出一个基于协同Agent的状态监控器软件构架.从构件的角度对模型进行描述,进而阐述软件构架中如何体现Agent特性和协同特性的技术方法.描述了软件构架中的合同网结构,并引入规则树与角色协同技术进行模型优化.最后运用KQML语言对部分内容进行可实现性描述,该状态监控器在实际应用中取得良好效果.     

基于服务代理数据库间的消息传递

某公司的管理层想知道在一年的任何点的确切的年销售以帮助他们计划未来的策略。集合年销售数据是存储在TotalsalesDB数据库中。销售事务详情被存储在SalesDB数据库中。为了保持的销售数据更新,需要确保无论何时任何定单被处理和在SalesDB数据库中交货日期被更新的时候,定单的总钱数,应该被添加到TotalSalesDB数据库的总年销售中。为了解决上述问题,需要在数据库中实现服务代理。该文详细解释了如何通过服务代理完成上述任务。     

基于双边多议题的Pareto最优协商研究

研究完全信息情况下的双边多议题协商问题,提出一种双方反提议决策模型,在每一轮反提议生成过程中,提议方在满足自身效用在该轮的保留效用水平下,最大化对方的效用,从而使协商结果达到Pareto最优,同时对双方在不同让步策略下的协商结果进行算例分析,为基于双方合作的完全信息协商提供理论参考。     

无随机预言机的公平合同签署协议

针对目前已有的公平合同签署协议存在的不足,利用已有的无随机预言机模型下的短签名方案和q-强Diffie- Hellman假设,设计一种新的具有离线半可信第三方的公平合同签署协议,离线第三方只在意外情况下才介入协议,且在纠纷解决阶段只是协助参与方解密,则协议结束,第三方并不能获得参与方的签名。由于基于短签名,所需存储和通信的数据量小,该协议只适用于低带宽通信以及需要较小的数据存储量的环境。     

A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach

The bilateral filter is a nonlinear filter that smoothes a signal while preserving strong edges. It has demonstrated great effectiveness for a variety of problems in computer vision and computer graphics, and fast versions have been proposed. Unfortunately, little is known about the accuracy of such accelerations. In this paper, we propose a new signal-processing analysis of the bilateral filter which complements the recent studies that analyzed it as a PDE or as a robust statistical estimator. The key to our analysis is to express the filter in a higher-dimensional space where the signal intensity is added to the original domain dimensions. Importantly, this signal-processing perspective allows us to develop a novel bilateral filtering acceleration using downsampling in space and intensity. This affords a principled expression of accuracy in terms of bandwidth and sampling. The bilateral filter can be expressed as linear convolutions in this augmented space followed by two simple nonlinearities. This allows us to derive criteria for downsampling the key operations and achieving important acceleration of the bilateral filter. We show that, for the same running time, our method is more accurate than previous acceleration techniques. Typically, we are able to process a 2 megapixel image using our acceleration technique in less than a second, and have the result be visually similar to the exact computation that takes several tens of minutes. The acceleration is most effective with large spatial kernels. Furthermore, this approach extends naturally to color images and cross bilateral filtering.     

基于Bit承诺的合同网模型

在分析现有合同网模型的基础上,针对合同网协商过程中的安全问题,利用Bit承诺协议和RSA算法,给出一个具有安全性的合同网协商模型,保证Agent之间信息的安全传输,防止协作Agent反悔、拒绝履行承诺。该协商模型满足不可否认性和强可验证性,投标价格保密安全,技术简单,通信量小。     

采用密度k-means和改进双边滤波的点云自适应去噪算法

采用相移结构光测量系统得到的三维点云,不可避免存在噪声.通过密度k均值(k-means)聚类算法将点云分为大尺度噪声点和小尺度噪声点,设定邻域大小以及点的数量来去除孤立噪声点;使用类内距离和类间距离的比值作为评价函数,得到最佳聚类数去除小片噪声点云;对于混杂在真实点云中的小尺度噪声点,采用鲁棒性更强的改进型双边滤波器进行点云光顺.实验验证表明:采用基于密度k-means和改进双边滤波结合的点云去噪算法可以有效去除各类噪声点,保持点云特征,相比平均曲率算法和基于特征选择的双边滤波算法,去噪效率分别提高了24％和16％.     

基于FCM算法的SAR图像相干斑噪声滤波算法研究

针对FCM分割对SAR图像斑点噪声敏感的特点,本文提出了一种新的去噪方法。所提出的方法主要分三个步骤。首先,分别对获得的两幅同源不同时相的SAR图像进行小波和lee滤波结合去噪。然后,通过对数比值检测方法获得变化信息。利用双边滤波器处理变化信息,以获得能保留图像丰富细节信息的图像降噪效果。最后,利用FCM方法把变化信息分成两类,这样就可以获得变化检测结果。Ottawa 地区的部分图像作为检测算法的性能的数据库。将去噪方法相互比较,结果表明,本文提出的算法分类正确率达到98.29%,优于其他去噪方法。     

Collaborative distribution between two logistics service providers

Mathematical models are described for collaborative distribution between two logistics service providers (LSPs). We find that (a) collaborative distribution is conditionally profitable for LSPs, and the conditions for cooperation are given; (b) LSPs save more costs primarily by shortening the delivery distance and decreasing delivery speed; (c) collaborative distribution makes the delivery time either shorter or longer; (d) if one LSP changes its equilibrium price, the total profit conditionally increases, and this condition is related to demand structure and delivery cost structure; and (e) collaborative distribution can solve the personalization of delivery time and reduce pollution to some extent. For the companies sharing the incremental profit, we characterize a transfer payment contract that includes fixed and variable fees. Our findings suggest that LSPs should adopt collaborative distribution to formulate an optimal distribution plan to save costs and shorten the delivery time, and should select partners with smaller cost parameters and both different and moderate speeds. In addition, warehouse and vehicle sharing are beneficial to the implementation of collaborative distribution.