审美文化的差异对设计作品认知的影响

美包容着人类,但美究竟是什么?无论是谁,都不能做出令人信服的解释,每个人面对美总有他(她)独一无二的看法。我们只能说美是一种意念、是一种难以言表的情感,这篇论文着重探寻审美文化差异性,并利用这种差异性结合实际例子去说明审美文化的差异会对设计作品认知产生何种的影响。而设计师们又将如何去面对和引导这种影响。     

基于PERT图的虚拟拆装过程建模

提出了使用PERT图来建立虚拟拆装过程模型的方法,根据零件之间的约束关系构造PERT图及其对应的依赖矩阵,并且能够根据它来指导虚拟拆装训练过程的实施.所提供的方法在对某设备的虚拟维修中得到了验证.     

基于Q—learning的一种多Agent系统结构模型

多Agent系统是近年来比较热门的一个研究领域,而Q-learning算法是强化学习算法中比较著名的算法,也是应用最广泛的一种强化学习算法。以单Agent强化学习Qlearning算法为基础,提出了一种新的学习协作算法,并根据此算法提出了一种新的多Agent系统体系结构模型,该结构的最大特点是提出了知识共享机制、团队结构思想和引入了服务商概念,最后通过仿真实验说明了该结构体系的优越性。     

基于Tuscany的公告平台ESB架构设计

公告平台是经多年逐步开发而形成的软件系统,由于开发时间持续很长以及实际情况的变化等多方面原因,公告平台很多地方需要进一步完善或重构.通过文中的研究,为公告平台进行完善或重构找到了合适的技术路线.通过采用系统分析和比较研究等方法,决定采用ESB思想及技术来对公告平台进行优化.Tuscany作为优秀的开源ESB框架,用其作为公告平台的ESB是一个不错的选择.首先从整体上对公告平台的ESB架构进行设计,重新细分了系统模块,然后再针对各个子系统进行ESB的详细设计和重构提供了具体意见.文中的研究对进一步优化公告平台、规范公告管理、提升政府和企业对公告服务的满意度具有重要现实意义.     

超临界机组磨煤机出口温度优化控制

针对磨煤机出口温度难于控制的缺点,提出超临界机组磨煤机出口温度优化控制策略。此控制策略采用双调节器的串级控制回路,内回路负调节器快速地控制磨煤机入口的进风温度;外回路主调节器控制磨煤机出口的物料温度。     

无线网络中密钥管理技术概述

密钥管理技术是基本的安全技术之一,在无线网络中扮演重要的角色。无线网络中密钥管理技术的研究是近年来的热点。本文概述了无线网络中密钥管理技术,即无线传感器网络和无线自组网络中的密钥管理技术。     

证券行业信息系统备份能力现状浅析

为了发挥备份能力建设在证券行业信息系统业务连续性中的重要作用,本文结合行业信息系统备份能力标准,信息系统备份能力分级,以及行业备份能力建设实践,分析证券行业信息系统备份能力现状与标准的差距,建设中存在的难点,进一步提出备份能力建设的建议。     

Diverse community: Demand differentiation in P2P live streaming

Peer-to-Peer (P2P) technology has become an attractive approach for enabling large-scale video streaming applications, but the factor of users’ subjective preferences is not paid enough attention in such networks. As users have various demand on video qualities, we can provide them with video streams at different resolutions without impairing their satisfaction. The adaptive streaming rate technique is a promising method. However, in providing adaptive streaming rate services, P2P live streaming design faces the following challenge: how to provide all users with uninterrupted video with their desired qualities in case that their demand dynamically changes? To shed more light on this problem, we first derive a model and formulate the problem as a resource demand vs supply problem. Then we present a framework to address the challenge via efficient bandwidth allocation and group cooperation. Through comprehensive simulations, we evaluate the effectiveness of the proposed framework, and conclude that it effectively helps existing solutions, such as Partial Participation Scheme (PPS), achieve better performance.     

On filter theory of residuated lattices

The aim of this paper is to develop the filter theory of general residuated lattices. First, we extend some particular types of filters and fuzzy filters in BL-algebras and MTL-algebras naturally to general residuated lattices, and further enumerate some relative results obtained in BL-algebras or MTL-algebras, which still hold in general residuated lattices. Next, we introduce the concepts of regular filters and fuzzy regular filters to general residuated lattices, which are two new types of filters and fuzzy filters, and derive some of their characterizations. Finally, we discuss the relations between (fuzzy) regular filters and several other special (fuzzy) filters, and also characterize some special classes of residuated lattices by filters or fuzzy filters.     

LPP solution schemes for use with face recognition

Locality preserving projection (LPP) is a manifold learning method widely used in pattern recognition and computer vision. The face recognition application of LPP is known to suffer from a number of problems including the small sample size (SSS) problem, the fact that it might produce statistically identical transform results for neighboring samples, and that its classification performance seems to be heavily influenced by its parameters. In this paper, we propose three novel solution schemes for LPP. Experimental results also show that the proposed LPP solution scheme is able to classify much more accurately than conventional LPP and to obtain a classification performance that is only little influenced by the definition of neighbor samples.