大众化背景下的高等教育服务--兼论弱势群体的高等教育参与

高等教育大众化禀承的理念在于高等教育服务的“大众”性，而不是简单意义上的数字的变化。今天的高等教育应该是为各个有学习能力和学习要求的人服务，应该面向国家和社会发展的现实需要并为之提供有用之才。这就要求高等教育要结合我国社会发展的现实状况和不同地区、不同民族的差异提供多样化的服务。而上述目的的实现需要提供有力的保障机制，当前，中国这个保障机制就是要建立有效的解决贫困生就学的机制。     

5CrMnMo钢制热锻模热处理工艺改进

5CrMnMo钢制热锻模的失效形式为早期开裂,模腔变形塌陷.在生产现场反复考察、分析和用金相显微镜分析模具热处理前后的显微组织特征后,通过改进锻后淬火强韧化热处理工艺,显著提高了模具的使用寿命,平均寿命达到20000件.     

结构腐蚀损伤定量预测方法对比研究

用BP人工神经网络(artificial neural简称ANN)算法分别对飞机结构材料、lCrl7不锈钢腐蚀损伤数据进行学习训练，建立了腐蚀损伤与环境条件的映射模型，并预测腐蚀损伤值。分析了三种预测方法的预测精度。得到了ANN预测的精度比灰色GM(1，1)模型及Logistic模型的预测精度高，且对数据有较好的适应能力的结论；采用ANN技术定量预测飞机结构腐蚀损伤是一种较好工程方法。     

Impact analysis and change propagation in service-oriented enterprises: A systematic review

ContextThe adoption of Service-oriented Architecture (SOA) and Business Process Management (BPM) is fairly recent. The major concern is now shifting towards the maintenance and evolution of service-based business information systems. Moreover, these systems are highly dynamic and frequent changes are anticipated across multiple levels of abstraction. Impact analysis and change propagation are identified as potential research areas in this regard.ObjectiveThe aim of this study is to systematically review extant research on impact analysis and propagation in the BPM and SOA domains. Identifying, categorizing and synthesizing relevant solutions are the main study objectives.MethodThrough careful review and screening, we identified 60 studies relevant to 4 research questions. Two classification schemes served to comprehend and analyze the anatomy of existing solutions. BPM is considered at the business level for business operations and processes, while SOA is considered at the service level as deployment architecture. We focused on both horizontal and vertical impacts of changes across multiple abstraction layers.ResultsImpact analysis solutions were mainly divided into dependency analysis, traceability analysis and history mining. Dependency analysis is the most frequently adopted technique followed by traceability analysis. Further categorization of dependency analysis indicates that graph-based techniques are extensively used, followed by formal dependency modeling. While considering hierarchical coverage, inter-process and inter-service change analyses have received considerable attention from the research community, whereas bottom-up analysis has been the most neglected research area. The majority of change propagation solutions are top-down and semi-automated.ConclusionsThis study concludes with new insight suggestions for future research. Although, the evolution of service-based systems is becoming of grave concern, existing solutions in this field are less mature. Studies on hierarchical change impact are scarce. Complex relationships of services with business processes and semantic dependencies are poorly understood and require more attention from the research community.     

Mocking Ads through Mobile Web Services

The need for creativity is ubiquitous, and mobile devices connected to Web services can help us. Linguistic creativity is widely used in advertisements to surprise us, to get our attention, and to stick concepts in our memory. However, creativity can also be used as a defense. When we walk in the street, we are overwhelmed by messages that try to get our attention with any persuasive device at hand. As messages get ever more aggressive, often our basic cognitive defenses—trying not to perceive those messages—are not sufficient. One advanced defensive technique is based on transforming the perceived message into something different (for instance, making use of irony or hyperbole) from what was originally meant in the message. In this article, we describe an implemented application for smartphones, which creatively modifies the linguistic expression in a virtual copy of a poster encountered on the street. The mobile system is inspired by the subvertising practice of countercultural art.     

一种视频流畅度优先的带宽自适应方法

由于现有基于平均接收质量的带宽自适应方法,在自适应过程中会出现视频质量振荡,且在可用带宽急剧恶化时会出现中断的问题,提出了一种流畅度优先的带宽自适应方法。该方法引入了图着色优先级算法,在带宽自适应过程中,在保证视频的流畅播放的前提下,通过判断是否振荡调整,改变平均质量范围,以达到减少视频振荡次数的效果。仿真结果表明,该方法在自适应调整传输速率、有效利用带宽的同时,保证了流畅度并减少视频质量振荡,符合预期目标。     

一种基于EQ规则的组合服务运行时自适应方法

组合服务通常运行在开放、变化和不确定的互联网环境中.动态复杂的运行环境,使得组合服务的执行具有不确定性和不可靠性,从而制约了服务组合技术的实际可用性.针对该问题,面向环境的分析与建模,提出了一种基于EQ规则的组合服务运行时自适应方法.该方法在记载组合服务的执行日志和各备选服务的运行环境数据的基础上,挖掘得到反映“一个备选服务在特定的环境状态下所表现出的质量会如何”的EQ规则库,从而指导组合服务如何响应实时产生的各类环境变化事件,以驱动组合服务的运行时自适应,保障其可靠运行.仿真实验结果表明:该方法能够提高组合服务在动态环境中的服务质量,增强其运行稳定性,是一种有效的组合服务运行时自适应方法.     

一种基于服务选取的SBS云资源优化分配方法

获取满足全局优化目标的资源分配策略,是影响云环境中基于服务的软件系统(service-based software system,简称SBS)运行时优化效果的关键.然而,由于SBS内部复杂的业务逻辑关系和云环境中的资源约束,现有分配方法无法得到最优资源分配量.以满足SLA约束和最小化资源成本为目标,根据不同资源状态对应不同组件服务性能的特点,将组件服务可能的资源分配量、相应性能及成本转换为备选逻辑服务集,进而提出了一种云环境中基于服务选取的SBS资源优化分配模型,并设计了一种求解模型的混合遗传算法.算法采用整数编码以提高求解效率,并在选择算子中引入了精英保留策略,从而保证收敛到全局最优解.为提高遗传算法的局部搜索能力、加快收敛速度,以局部搜索策略改进了标准变异算子.实验验证了所提出的资源优化分配模型和求解算法的有效性,并表明:与分支定界法及精英保留策略遗传算法相比,混合遗传算法能够在较大规模的问题上快速获得具有较低资源成本的资源分配策略.     

考虑公平关切的服务供应链协调契约

针对服务集成商公平关切行为, 建立了服务提供商和服务集成商的博弈模型, 分析论证了批发价契约无法实现服务供应链协调的问题, 探讨了“成本共担+收入共享” 组合式契约协调的有效性. 研究结果表明, 成本共担契约和收入共享契约都无法实现服务供应链的协调, 而组合式契约不仅能有效协调服务供应链, 且协调具有一定柔性, 但随着服务集成商公平关切程度的增加, 服务提供商与服务集成商的协调空间变小, 协调柔性减弱, 且对服务提供商更不利.     

基于聚类、空间分集和轨迹连续的实时定位算法

针对多样本消除接收信号强度其时域浮动易造成定位的更新率下降和实时性降低的问题,首先在定位阶段利用空间分集技术,建立相邻位置信号强度的矢量队列来计算当前位置的强度;然后利用轨迹的连续性质,消除时域浮动产生的定位误差,同时通过对指纹数据库进行聚类,在对目标定位时只需在较小的聚类集合中进行少量计算,无需遍历整个数据库,且计算量不随指纹数据库的增大而增加,极大地降低了计算量;最后进行了实验仿真,结果表明该算法能有效减小运算量和定位误差。