Injecting purpose and trust into data anonymisation

Data anonymisation is of increasing importance for allowing sharing individual data among various data requesters for a variety of social network data analysis and mining applications. Most existing works of data anonymisation target at the optimization of the anonymisation metrics to balance the data utility and privacy, whereas they ignore the effects of a requester’s trust level and application purposes during the data anonymisation. Our aim of this paper is to propose a much finer level anonymisation scheme with regard to the data requester’s trust and specific application purpose. We firstly prioritize the attributes for anonymisation based on their importance to application purposes. Secondly, we build the projection between the trust value and the degree of data anonymiztion, which intends to determine to what extent the data should be anonymized. The decomposition algorithm is developed to find the desired anonymous solution, which ensures the uniqueness and correctness. Finally, we conduct extensive experiments on two real-world data sets and the results show the benefits of our approach for both data requesters and providers.     

Factors influencing business intelligence (BI) data collection strategies: An empirical investigation

This paper examines external pressures that influence the relationship between an organization's business intelligence (BI) data collection strategy and the purpose for which BI is implemented. A model is proposed and tested that is grounded in institutional theory, research about competitive pressure, and research about the purpose of BI. Two data collection strategies (comprehensive and problem driven) and three BI purposes (insight, consistency, and transformation) are examined. Findings provide a theoretical lens to better understand the motivators and the success factors related to collecting the huge amounts of data required for BI. This study also provides managers with a mental model on which to base decisions about the data required to accomplish their goals for BI.     

橡胶工业制品生胶消费结构的变化趋势

本文根据机械工业，尤其是汽车工业的技术进步，对橡胶工业制品的新性能要求、阐述了生胶消费结构的变化趋势：通用型生胶的消费比重有所下降，具有特殊性能的生胶消费比重在逐步增长。扼要介绍了几种特殊用途橡胶的发展。     

Building access control policy model for privacy preserving and testing policy conflicting problems

This paper proposes a purpose-based access control model in distributed computing environment for privacy preserving policies and mechanisms, and describes algorithms for policy conflicting problems. The mechanism enforces access policy to data containing personally identifiable information. The key component is purpose involved access control models for expressing highly complex privacy-related policies with various features. A policy refers to an access right that a subject can have on an object, based on attribute predicates, obligation actions, and system conditions. Policy conflicting problems may arise when new access policies are generated that are possible to be conflicted to existing policies. As a result of the policy conflicts, private information cannot be well protected. The structure of purpose involved access control policy is studied, and efficient conflict-checking algorithms are developed and implemented. Finally a discussion of our work in comparison with other related work such as EPAL is presented.     

谈如何搞好建筑施工生产实习

本文论述了建筑施工生产实习难度颇大,要使实习取得良好效果,那就是要抓好生产实习的组织工作,调动学生积极性;制订明确的实习目标,规定量化指标,选择符合实习条件的工地;在生产实习的整个过程中指导教师要严密组织和正确引导,特别是加强对学生的现场指导,为学生解决一些实际困难。     

微处理器存储管理单元的功能验证方法

在分析存储管理单元(MMU)验证方法的基础上设计一种验证专用操作系统(VPOS)。采用静态存储管理、静态用例调度和伪中断处理等技术,为编写可执行、可控制的MMU测试程序提供了软件平台。验证表明,基于VPOS的仿真能在早期的软仿真阶段覆盖94%的MMU设计错误,在FPGA验证中覆盖剩余的错误,保证了移植通用操作系统一次成功。     

危险区域无线侦测指挥系统

基于无线技术,提出一种在危险区域进行侦测及指挥的解决方案。系统采用分层结构,分为探测球层、终端层与指挥中心层。探测球层包含了音视频、空气质量等检测模块。终端层基于Liod开发板和Linux系统,配合无线模块实现音频视频采集、空气质量检测、区域报警等功能,通过Ad Hoc无线自组网络与其他终端以及指挥中心进行通信。指挥中心担负着整体调度的职责。利用该系统,可以实现现场指挥、图片传输、实时音频传输、人员定位、现场地图绘制及远程传输等操作,为危险区域的信息收集以及指挥人员的决策提供有力支持。     

基于CUDA架构的三维CPML-FDTD并行方法

为解决时域有限差分（FDTD）算法应用于电大尺寸目标仿真的巨大耗时问题,应用FDTD算法的并行特性和通用图形处理器（GPGPU）技术,实现了一种基于计算统一设备架构（CUDA）的三维FDTD并行计算方法,采用了时域卷积完全匹配层（CPML）吸收边界条件模拟开域空间,对不同网格数目标仿真计算。进一步结合FDTD算法和CUDA的特点进行了优化,当计算空间元胞数在十万数量级及以上时,优化前后GPU运算相对于同时期的CPU分别可获得10和25倍以上的加速,结果表明该方法较适合用于实际电磁问题的仿真。     

More than food or fuel. Stakeholder perceptions of anaerobic digestion and land use; a case study from the United Kingdom

Anaerobic digestion (AD) is of growing importance within the UK as it can make an important contribution to the countries energy and climate change targets. With the growth of the sector, discussions about competing land uses are likely to increase. For a better understanding of the synergies between agricultural land, its role and bioenergy the perception of the different stakeholders will play an important role. The perception of stakeholders related to AD, feedstock and energy crop production was investigated through interviews and a stakeholder workshop. The results indicated that from an AD operator and feedstock producer perspective, on-farm AD is more an additional activity integrated into existing agricultural systems than a renewable energy technology. The risk of a shift in agricultural practices and large areas to grow energy crops for AD is seen as low for the UK. Nonetheless, land use and related challenges need to be considered as the demand for AD feedstocks increases with the fast growth of the sector. Considering the synergies between bioenergy and agriculture as well as the motivations and benefits perceived by stakeholders will play an important role in a successful policy design to provide the required emission reduction in both sectors without subverting sustainability.     

水利英语方向翻译硕士培养的可行性研究

水利英语方向翻译硕士与其他方向的翻译硕士和水利类硕士专业英语的教学既有区别,又有联系。培养水利英语方向翻译硕士在学科建设层面顺应了水利英语和翻译硕士教学与研究的发展趋势,在服务社会层面适应专门用途英语教育理念下我国水利事业国际交流与合作发展深化的需要,因此具有较大可行性。