氧化剂对Cu-Al2O3复合材料微观组织的影响

研究了一种新型简化内氧化工艺,并制备了不同氧源系数的Cu-Al2O3复合材料。用SEM、TEM等分析手段对所制备复合材料烧结态的微观组织进行了研究。结果表明,该简化工艺成功制备了Cu-Al2O3复合材料,在铜基体上弥散分布着大量细小的γ-Al2O3颗粒,其粒径为5~20nm,颗粒间距为25~60nm,当氧源系数(k)为1.20时,压制粉末经烧结(950℃,4h)后全部完成内氧化,此氧化剂含量为最佳的内氧化氧化剂添加量。     

User experience and personal innovativeness: An empirical study on the Enterprise Resource Planning systems

Although user experience and personal innovativeness are two important factors in new technology adoption, there has been no prior study to test these factors with the Enterprise Resource Planning (ERP) adoption. This paper investigates moderating roles of user experience on the relationship between the personal innovativeness and the ERP adoption motivations. This issue is important because if the user has more experience with the systems then the power of influence of personal innovativeness on ERP adoption motivation would be different. Thus, this paper tests these important insights of ERP systems adoption with the two different field samples with high (more than three years) and low (less than three years) user experience, based on the innovation diffusion theory, self determination theory, and different types of motivations such as intrinsic and extrinsic motivations. The findings, based on the PLS analysis of the model using 107 ERP end users, show that there are clear moderating effects of user experience—such as impacts of personal innovativeness on ERP systems adoption motivations are higher in case of low user experience samples, as expected. Academic and practical implications are discussed in the paper based on these empirical findings.     

Cloud based intelligent system for delivering health care as a service

The promising potential of cloud computing and its convergence with technologies such as mobile computing, wireless networks, sensor technologies allows for creation and delivery of newer type of cloud services. In this paper, we advocate the use of cloud computing for the creation and management of cloud based health care services. As a representative case study, we design a Cloud Based Intelligent Health Care Service (CBIHCS) that performs real time monitoring of user health data for diagnosis of chronic illness such as diabetes. Advance body sensor components are utilized to gather user specific health data and store in cloud based storage repositories for subsequent analysis and classification. In addition, infrastructure level mechanisms are proposed to provide dynamic resource elasticity for CBIHCS. Experimental results demonstrate that classification accuracy of 92.59% is achieved with our prototype system and the predicted patterns of CPU usage offer better opportunities for adaptive resource elasticity.     

Hybrid shuffled frog leaping algorithm for energy-efficient dynamic consolidation of virtual machines in cloud data centers

Cloud computing aims to provide dynamic leasing of server capabilities as scalable virtualized services to end users. However, data centers hosting cloud applications consume vast amounts of electrical energy, thereby contributing to high operational costs and carbon footprints. Green cloud computing solutions that can not only minimize the operational costs but also reduce the environmental impact are necessary. This study focuses on the Infrastructure as a Service model, where custom virtual machines (VMs) are launched in appropriate servers available in a data center. A complete data center resource management scheme is presented in this paper. The scheme can not only ensure user quality of service (through service level agreements) but can also achieve maximum energy saving and green computing goals. Considering that the data center host is usually tens of thousands in size and that using an exact algorithm to solve the resource allocation problem is difficult, the modified shuffled frog leaping algorithm and improved extremal optimization are employed in this study to solve the dynamic allocation problem of VMs. Experimental results demonstrate that the proposed resource management scheme exhibits excellent performance in green cloud computing.     

《数据结构》精品资源共享课建设探析

《数据结构》精品资源共享课作为服务于高校师生和社会学习者的平台之一,其建设内容主要由基本资源、拓展资源、师生互动组成。在《数据结构》精品资源共享课建设中,明确建设目标,着重进行课程体系及课程资源建设。通过精心组织课程资源,优化师资队伍以及制定科学的课程管理办法等措施,实现资源共享。     

资源综合利用现状和展望

简介资源综合利用的内容和现状;分析了“工业废渣”综合利用的国内外发展状况,提出了建立“环保产业”的初步想法。     

露天煤炭资源合理开发的优序决策

运用层次分析法建立递阶结构的露天煤田综合评价模型及评价指标体系,为露天煤田的合理开发提供了一种优序决策的方法。用该模型对七个露天煤田进行了综合评价,说明诙评价模型较为可靠和实用。     

Challenges in real-time virtualization and predictable cloud computing

Cloud computing and virtualization technology have revolutionized general-purpose computing applications in the past decade. The cloud paradigm offers advantages through reduction of operation costs, server consolidation, flexible system configuration and elastic resource provisioning. However, despite the success of cloud computing for general-purpose computing, existing cloud computing and virtualization technology face tremendous challenges in supporting emerging soft real-time applications such as online video streaming, cloud-based gaming, and telecommunication management. These applications demand real-time performance in open, shared and virtualized computing environments. This paper identifies the technical challenges in supporting real-time applications in the cloud, surveys recent advancement in real-time virtualization and cloud computing technology, and offers research directions to enable cloud-based real-time applications in the future.     

基于企业生命周期的人力资源经理角色分析

文章从企业生命周期的角度,探讨了人力资源经理在不同阶段主要扮演的角色,为企业选拔和培训人力资源经理提供新的视角。将企业生命周期分为创业期、成长期、成熟期和衰退期四个阶段,依据企业生命周期不同阶段的特点及人力资源管理的策略,得出人力资源经理在不同阶段分别主要扮演战略合作伙伴、HRM专家、员工激励者、变革推动者的角色。     

Petri网在ERP实施中业务流程建模的应用

对企业在实施ERP中的业务流程优化问题,提出了一种基于Petri网的业务流程优化和配置方法.首先分析ERP实施中的业务流程建模,指出采用Petri网建模的适用性.其次运用Petri网对流程给出形式化定义,提出优化规则,探讨基于Petri网的流程模型在ERP软件中的实现.最后结合某企业实施用友ERP的过程进行实例分析.