To outsource or not: The impact of information leakage risk on information security strategy

Emerging studies advocate that firms shall completely outsource their information security for cost and technical advantages. However, the risk of information leakage in outsourcing to managed security service providers (MSSPs) is overlooked and poses a confidentiality threat. We develop analytical models to describe several strategies for firms to consider when they decide to outsource to MSSPs. Based on our results, we suggest partial outsourcing as an alternative strategy when the firm faces information leakage risk. Besides, we suggest that in-house information security strategy is the optimal solution when the risk of being attacked is low regardless of the risk of information leakage. We then extend scenarios to the competitive environment where firms that are in the same market are highly likely to choose the same strategy.     

基于QFD的社区老年人慢性病管理产品服务系统设计研究

以老年慢性病患者为研究对象,以提高社区居家养老模式下的老年慢性病管理水平为研究目标,以提供社区卫生机构慢性病管理产品服务方案为实践目标。在数据收集和分析阶段,采用定性研究的方法收集用户数据,通过构建典型人物模型总结现有问题;通过分解典型场景中的用户需求,得出对应的具体服务需求和服务内容;并以KANO模型的结果为依据,划分服务需求的类型。在服务模型构建阶段,以QFD方法及相关理论为指导,构建质量屋,输出用户需求对应的服务特性重要度排序,并依照设计原则评估。构建基于不同类型用户需求的质量屋,得出慢性病管理有关的服务特性在社区场景下的重要度排序,并提出面向社区老年人的慢性病管理产品服务系统设计策略。     

激光焦点磁力驱动平台的波动特性分析

针对现有驱动平台在传统PID参数控制下Y方向平动实验中出现的波动情况进行分析,猜测波动的原因是由于平台结构分布不均匀造成的。针对波动情况,建立在环形永磁铁和柱形永磁铁结构分布不均匀情况下驱动平台的数学模型。并对结构不均匀情况下数学模型进行Y方向的仿真分析。仿真结果表明,分布不均匀情况下的数学模型在仿真过程中会出现波动。仿真结果与猜测结果相同。实验过程中的波形情况是由于驱动平台的结构分布不均匀造成的。     

油气开采用钛合金石油管材料耐腐蚀性能研究

选取5种油气开发常用钛合金材料(Ti-6Al-4V、Ti-6Al-4V-0.1Ru、Ti-6Al-2Sn-4Zr-6Mo、Ti-3Al-8V-6Cr-4Zr-4Mo和Ti-5.5Al-4.5V-2Zr-1Mo)为研究对象,使用高温高压釜模拟国内典型严酷服役工况环境,研究了不同钛合金材料耐均匀腐蚀、局部腐蚀、点蚀、应力腐蚀开裂(SCC)及缝隙腐蚀的性能,通过使用扫描电镜和能谱分析等手段对腐蚀形貌和腐蚀产物进行了分析,并使用电化学方法对不同合金的耐腐蚀机理进行了研究。结果显示,在所测试工况条件下,所有钛合金材料腐蚀反应均为阳极控制过程,均匀腐蚀速率均低于0.001mm/a,并且对应力腐蚀开裂均有良好的抗力。Ti-6Al-4V和Ti-5.5Al-4.5V-2Zr-1Mo合金出现明显的点蚀和缝隙腐蚀问题。对腐蚀机理研究表明,在工况条件温度下,随着pH值的降低,所有钛合金均发生自腐蚀电位降低,极化电阻减小,腐蚀电流增大,耐腐蚀性能下降,其中Ti-6Al-4V耐腐蚀性能下降的最为明显,研究结果为油气开发工况下钛合金石油管的选材和缝隙腐蚀问题防治提供理论基础。     

云制造平台资源需求的高效匹配策略研究

为快速、精确地从云制造平台资源池中搜索到满足用户需求的资源,实现资源与需求的高效匹配,提出了一种资源需求高效匹配策略。首先,建立了资源与需求的形式化描述模型,在此基础上,采用改进的K-means聚类算法按基本信息进行聚类,对云服务池中的资源进行预处理,形成多个资源簇;其次,计算用户需求与各资源簇聚类中心基本信息的相似度,确立备选资源簇;最后,再分别从资源的状态信息、功能信息和服务信息3个方面对备选资源簇中的备选资源进行筛选匹配。实例分析和研究结果表明:与已有的匹配方法相比,该方法在保持较高匹配精度的同时具有更高的匹配效率。     

SLA-driven container consolidation with usage prediction for green cloud computing

Since service level agreement(SLA)is essentially used to maintain reliable quality of service between cloud providers and clients in cloud environment,there has been a growing effort in reducing power consumption while complying with the SLA by maximizing physical machine(PM)-level utilization and load balancing techniques in infrastructure as a service.However,with the recent introduction of container as a service by cloud providers,containers are increasingly popular and will become the major deployment model in the cloud environment and specifically in platform as a service.Therefore,reducing power consumption while complying with the SLA at virtual machine(VM)-level becomes essential.In this context,we exploit a container consolidation scheme with usage prediction to achieve the above objectives.To obtain a reliable characterization of overutilized and underutilized PMs,our scheme jointly exploits the current and predicted CPU utilization based on local history of the considered PMs in the process of the container consolidation.We demonstrate our solution through simulations on real workloads.The experimental results show that the container consolidation scheme with usage prediction reduces the power consumption,number of container migrations,and average number of active VMs while complying with the SLA.     

基于开源技术的城市地理信息平台构建方法研究

摘 要：针对城市地理信息平台构建过程中存在的数据获取困难、研发成本较高等问题， 引入开源技术，对基于开源数据、开源开发平台与开源工具的城市地理信息平台构建技术进行 研究。所提出的城市地理信息平台由数据模块与可视化模块 2 部分组成。为构建数据模块，由 开源地理信息项目(OSM)获取了建筑与区划数据，并设计了建筑合并算法以提升数据质量。建 筑数据随之基于行政区划分级存储，通过由 ASP. NET 构建的数据接口提供给具体应用。可视 化模块则基于开源地理信息系统(GIS)项目 Cesium 实现，并设计了完善的用户界面。以北京市 为例，完成了原型系统的开发与测试，证实了该技术体系的可行性，通过开源技术降低平台研 发成本，推进城市地理信息平台的研究与应用。     

Telesurgery QoS improvement over SDN based on a Type‐2 fuzzy system and enhanced cuckoo optimization algorithm

Telemedicine is a new area based on the information and communication technology for collecting, storing, organizing, retrieving and exchanging medical information. One of the most important applications of telemedicine is indeed telesurgery in which an efficient telecommunication infrastructure between the surgery room and remote surgeons need to be established. One of the most important issues to be tackled in telesurgery is to find favorable links for routing as well as providing high Quality of Service (QoS). In this paper, an efficient model based on the hybridization of Type‐2 Fuzzy System (T2FS) and Cuckoo Optimization Algorithm (COA) over the Software Defined Networks (SDN) is proposed in order to achieve optimal and reliable routes for telesurgery application. Using T2FS, the fitness of the links is determined; then, a COA is conducted over the Constraint Shortest Path (CSP) problem to find the best routes. Delay is considered as a CSP problem which is satisfied by trying to find the paths with minimum cost. Due to the NP‐completeness of the CSP problem, an Enhanced COA (so‐called E‐COA) is proposed and utilized as a metaheuristic solver. To the best of our knowledge, this paper is the first SDN‐based communication model that applies both T2FS and E‐COA for assigning proper costs to the network's links, and solves the consequence CSP problem according to the QoS requirement for telesurgery. The model also recognizes and preserves the second‐best routes in order to keep the reliability for such a critical application. In addition to the simulations, the performance evaluation is also conducted on a real experimental scenario. Many comparisons are carried out between the proposed model and other conventional methods, and the evaluation study shows the superiority of the proposed model on all the three QoS‐related metrics, i.e. average end‐to‐end delay, packet loss ratio and PSNR.     

[数据驱动的智能服务]数据驱动的复杂产品智能服务技术与应用

随着传感器、数据采集装置和其他具备感知能力的模块在复杂产品服务运行阶段的应用，复杂产品运维系统的数字化和智能化程度越来越高，具有实时、多源、异构、海量等特性的数据成为提高复杂产品系统可靠和低成本运行的决策依据，数字孪生技术提供了一种有效途径。介绍了数据驱动的复杂产品智能服务研究进展；分析了数据驱动的智能服务基本特征与框架模型；提出了数据驱动的复杂产品智能服务方法，主要包括面向服务的复杂产品建模与仿真方法、数据驱动的服务需求获取与精准分析预测方法、基于数字孪生的设备故障识别与动态性能预测方法、数据驱动的装备视情维修与备件库存联合多目标决策优化方法、基于数字孪生的复杂产品辅助维修技术、多要素协同的复杂装备能效精准分析预测方法、基于数据挖掘的复杂产品运行优化控制方法等；给出了智能服务系统的应用案例。所提出的框架和方法可为现代制造服务的智能化转型升级提供参考。     

中空夹层金属管混凝土构件侧向冲击试验研究

为提高海洋平台结构的抗冰能力，提出一种新型中空夹层金属管混凝土导管腿构件。通过理论分析、数值模拟和试验相结合，研究不同外钢管材料（Q345钢、奥氏体304级不锈钢和T6061铝合金）对中空夹层钢管混凝土构件的影响。通过单次冲击和连续冲击两种加载方式进行加载，并与钢质空心导管腿进行对比，试验结果发现：组合构件抗冲击性能优于空管构件，铝合金组合构件整体抗冲击能力较差，不锈钢单次冲击作用下极限承载能量高达18.83 kJ以上，小能量连续冲击作用下承载冲击次数最多，不锈钢组合构件抗冲击力学性能最好。结合有限元ABAQUS软件，对单次冲击构件建模并得出计算结果，与试验结果基本吻合。