Evaluation of a cloud cover based model for estimation of hourly global solar radiation in Western Canada

Cloud cover based solar radiation models are relatively simple and convenient as the models require the input of cloud cover data which are mostly available from the meteorological stations. In this study, the performance of a cloud cover based solar radiation model (Kasten–Czeplak model) with original or locally fitted coefficients was evaluated for estimating the hourly global solar radiation for four different locations in Western Canada. The average value of R², mean bias error, and root mean square error are 0.69, ?61.6, and 157.9?W?m^?2, respectively, for the model with original coefficients, whereas 0.82, 4.4, 107.1?W?m^?2 with locally fitted coefficients. Results show that the Kasten–Czeplak model with locally fitted coefficients satisfactorily estimated the hourly solar radiation of four different locations in Western Canada. Also, the results indicate that the model with original coefficients has very limited accuracy under intermediate cloud cover conditions.     

A multitime-steps-ahead prediction approach for scheduling live migration in cloud data centers

One of the major challenges facing cloud computing is to accurately predict future resource usage to provision data centers for future demands. Cloud resources are constantly in a state of flux, making it difficult for forecasting algorithms to produce accurate predictions for short times scales (ie, 5 minutes to 1 hour). This motivates the research presented in this paper, which compares nonlinear and linear forecasting methods with a sequence prediction algorithm known as a recurrent neural network to predict CPU utilization and network bandwidth usage for live migration. Experimental results demonstrate that a multitime-ahead prediction algorithm reduces bandwidth consumption during critical times and improves overall efficiency of a data center.     

采用八叉树和OSG分页结点的海量点云三维可视化

针对现有海量点云可视化方法存在索引构建时间长、内存占用大等问题，研究一种八叉树索引结合OSG分页结点的快速可视化方法，可在占用较小内存的基础上快速建立点云索引并实时调度。采用八叉树索引结构对海量点云进行数据组织，建立各层级的八叉树结点并以文件映射的方式分块保存，对结点文件重组织转换为支持OSG渲染引擎的多分辨率点云数据。采用基于OSG分页结点的实时调度技术，对海量点云进行高质量可视化。与目前两款主流的点云数据处理商业软件进行实验对比分析，结果表明所提方法具有索引建立速度快、内存占用小等优点，同时可视化交互更加流畅，适用于各种配置计算机下海量点云数据的调度管理与实时可视化。     

An adaptive clinical decision support system for serving the elderly with chronic diseases in healthcare industry

With the increasing ageing population worldwide, providing effective nursing care planning in nursing homes is important in meeting the expectations of elderly patients and in streamlining the healthcare information process, hence maintaining high‐quality services. Instead of the traditional manual nursing care planning formulation based on expert experience and subjective judgement, this paper describes an adaptive decision support system, namely, the cloud‐based nursing care planning system, to enable decision making in formulating nursing care strategies. By integrating cloud computing technology and the case‐based reasoning (CBR) technique, medical records and documents pertaining to the elderly can be captured in real time, whereas appropriate treatment plans based on past similar treatment records can be formulated. However, the current case adaptation processes in CBR rely on domain experts to modify retrieved cases, which may not satisfy the needs of the elderly. Therefore, text mining is integrated in the case adaptation process of CBR for extracting up‐to‐date medical information from the Internet so that its efficiency can be improved. By conducting a pilot study in a nursing home, it was shown that the time for formulating applicable treatment plans for elderly patients can be reduced, and the service satisfaction level can be enhanced.     

滨海金矿涌水危险评价及涌水量混沌预测研究

针对海底金矿涌水危险评价过程中的不确定性及随机性问题，选择工程地质及水文地质中涉及的10个重要因素构建评价指标体系，建立起涌水危险评价的云模型。基于评价结果，对危险区域的涌水量时间序列进行相空间重构，通过G-P算法及自相关法获得了重构相空间参数；分析了涌水量变化的相点距离演变规律，建立了涌水安全预警机制。结合混沌相空间重构，建立了涌水量预测的RBF神经网络模型。研究表明：涌水危险性的云模型评价结果准确可靠；相空间重构揭示了系统的混沌特性，最邻近相点演化将涌水量的内在细微变化特征放大，为涌水安全预警机制的建立提供了依据；混沌RBF神经网络能够实现涌水量的短期精确预测，为井下安全开采提供了技术保障。     

Components and Development in Big Data System: A Survey

With the growth of distributed computing systems, the modern Big Data analysis platform products often have diversified characteristics. It is hard for users to make decisions when they are in early contact with Big Data platforms. In this paper, we discussed the design principles and research directions of modern Big Data platforms by presenting research in modern Big Data products. We provided a detailed review and comparison of several state-of-the-art frameworks and concluded into a typical structure with five horizontal and one vertical. According to this structure, this paper presents the components and modern optimization technologies developed for Big Data, which helps to choose the most suitable components and architecture from various Big Data technologies based on requirements.     

公共云服务认证研究

在分析公共云服务认证于市场的意义，总结全球已成功开展公共云服务认证的国家经验的基础上，从3个方面介绍了目前公共云服务认证的研究成果，一是分析公共云服务认证的意义；二是总结全球已成功开展公共云服务认证国家的经验；三是我国公共云服务认证进展情况并提出发展建议。     

A comparison of heuristics for family and job scheduling in a flow-line manufacturing cell

This paper proposes new procedures for scheduling a flow-line manufacturing cell and compares the results obtained by using these new procedures to results obtained using procedures developed by Wemmerlov and Vakharia, Skorin-Kapov and Vakharia, and Sridhar and Rajendran. The procedures are evaluated on the basis of the makespans generated by solutions for test problems. The results show that the new procedures can efficiently generate good makespans and that results obtained by using the tabu search procedure developed by Skorin-Kapov and Vakharia can be improved if a starting set of job and family sequences is generated by one of the new procedures.     

基于云计算的桥梁安全与健康监测数据中心基础架构及其数据管理技术

桥梁安全监测数据信息以几何级数速度增长,对数据中心海量数据存储、管理提出了智能化、高效率化的要求.分析了桥梁安全与健康监测数据中心的数据管理技术及发展趋势;阐述了基于云计算（Cloud Computing）的数据中心基础架构;深入探讨了关键设备和软件的选型;对基于云计算的桥梁安全监测数据中心的应用前景进行了展望.     

云计算对现代企业电子商务建设及管理过程的改变

信息技术的发展使网络越来越智慧,云计算应运而生,它帮助企业在电子商务的建设和决策中找到了新的实现方法,有效降低了企业的准入门槛,节省了运营成本,成为企业快速健康发展的新的推动力。通过对传统电子商务和云计算技术的分析,阐述了云计算技术通过提供海量存储、网格计算、建设方法、成本控制和管理模式等方面的服务,分析建立了商务云架构和新型商务管理模式。