摘要：Cryptocurrencies represented by Bitcoin have fully demonstrated their advantages and great potential in payment and monetary systems during the last *** mining pool,which is considered the source of Bitcoin,is the cornerstone of market *** surveillance of the mining pool can help regulators effectively assess the overall health of Bitcoin and ***,the anonymity of mining-pool miners and the difficulty of analyzing large numbers of transactions limit in-depth *** is also a challenge to achieve intuitive and comprehensive monitoring of multi-source heterogeneous *** this study,we present SuPoolVisor,an interactive visual analytics system that supports surveillance of the mining pool and de-anonymization by visual *** is divided into pool level and address *** the pool level,we use a sorted stream graph to illustrate the evolution of computing power of pools over time,and glyphs are designed in two other views to demonstrate the influence scope of the mining pool and the migration of pool *** the address level,we use a force-directed graph and a massive sequence view to present the dynamic address network in the mining ***,these two views,together with the Radviz view,support an iterative visual reasoning process for de-anonymization of pool members and provide interactions for cross-view analysis and identity *** and usability of SuPoolVisor are demonstrated using three cases,in which we cooperate closely with experts in this field.

摘要：A brand new design of integrated corrosion information system is introduced to meet the constantly increasing demands of material corrosion information. Two concepts, "general-purpose corrosion data model" and "public corrosion data ex-changing interface", are suggested to integrate a wide variety of corrosion data sources based on detailed analysis on characteristics of each source in order to promote the information sharing and data mining. The architecture of integrated corrosion information environment is blueprinted. The insight analysis is focused on 1) architecture of the system; 2) data flow and information sharing; 3) roles of system players and their interactions; 4) approaches to data integration. Several key issues are addressed in detail including coverage of data model, data source integration and mitigation, and data granularity from system performance and model acceptance points of view. At the end, the design and implementation ap-proach of general corrosion data model is presented based on cutting edge IT techniques.

摘要：Weani ng from mechanical ventilation in the in tensive care unit (ICU) is a complex clinical problem and relevant for future organ engineering. Prolonged mechanical ventilation (MV) leads to a range of medical complications that increases length of stay and costs as well as contributes to morbidity and even mortality and long-term quality of life. The need to reduce MV is both clinical and economical. Artificial intelligence or machine learning (ML) methods are promising opportunities to positively influence patient outcomes. ML methods have been proposed to enhance clinical decisions processes by using the large amount of digital information generated in the ICU setting. There is a particular interest in empirical methods (such as ML) to improve management of "difficult-to-wean" patients, due to the associated costs and adverse events associated with this population. A systematic literature search was performed using the OVID, IEEEXplore, PubMed, and Web of Science databases. All publications that included (1) the application of ML to weaning from MV in the ICU and (2) a clinical outcome measurement were reviewed. A checklist to assess the study quality of medical ML publications was modified to suit the critical assessment of ML in MV weaning literature. The systematic search identified nine studies that used ML for weaning management from MV in critical care. The weaning management application areas included (1) prediction of successful spontaneous breathing trials (SBTs),(2) prediction of successful extubation,(3) prediction of arterial blood gases, and (4) ventilator setting and oxygenation-adjustment advisory systems. Seven of the nine studies scored seven out of eight on the quality index. The remaining two of the nine studies scored one out of eight on the quality index. This scoring may, in part, be explained by the publications' focus on technical novelty, and therefore focusing on issues most important to a technical audience, instead of issues most impor

摘要：The application of high speed data bus on the satellites having several remote sensors could not only satisfy the demand of high speed data transfer,but also could reuse the equipment at both the com-ponent and subsystem levels for other space missions,thus reducing the costs of on-board processing system *** this article,a special high speed data bus with simple interfaces is chosen for transferring the data produced by remote sensors and other ***,the function and the structure of the data bus are discussed *** then,the bus controller,which is a key mod-ule of the data bus,is *** last,the function and performance of the bus controller are verified by VHDL simulation.

摘要：The key to develop 3-D GISs is the study on 3-D data model and data structure. Some of the data models and data structures have been presented by scholars. Because of the complexity of 3-D spatial phenomenon, there are no perfect data structures that can describe all spatial entities. Every data structure has its own advantages and disadvantages. It is difficult to design a single data structure to meet different needs. The important subject in the3-D data models is developing a data model that has integrated vector and raster data structures. A special 3-D spatial data model based on distributing features of spatial entities should be designed. We took the geological exploration engineering as the research background and designed an integrated data model whose data structures integrats vector and raster data byadopting object-oriented technique. Research achievements are presented in this paper.

摘要：针对刀具柱面data Matrix码图像拼接的特殊需求,已有算法拼接结果识读率低、实时性差的缺陷,提出了一种基于data Matrix码图像特征的拼接方法.该方法基于缝隙内旋转采集的刀具柱面data Matrix码序列图像,通过条码纵向位移校正与模块划分,完成基于模块信息的最小欧氏距离图像粗配准和归一化互相关图像精配准;为了保证条码结构正确,消除无重合区域对图像拼接的影响,根据匹配度先将序列图像融合成3部分并校正畸变;最后将这3部分按条码模块关系融合成一幅尺寸正确的图像,实现了条码定位、模块划分,以方便后续进行解码.实验结果表明,文中方法能够满足刀具柱面data Matrix码序列图像的拼接需求,拼接结果解码正确率达到96%,拼接时间小于250ms,并且大大提高了解码速度.

摘要：分析了刀具柱面data Matrix(DM)码几何畸变的原理与过程,利用透视投影的方法建立了柱面DM码的几何畸变模型并对其进行仿真.结果表明,该模型较好地模拟了DM码在刀具柱面的几何畸变状况.通过仿真分析,获得了在一定曲率柱面上标刻DM码的合适尺寸以及采集过程中相机的合适几何参数.

摘要：针对离散制造企业生产环境和工艺的复杂性容易引起data Matrix二维符号标记的磨损、污染和腐蚀而发生标识失效的问题,提出一种基于D-S证据理论的产品多信息融合标识失效补救方法。分析了产品物理与制造过程中多源信息之间的关联和数据结构,建立了离散制造产品零散与不完整多源信息的数学模型;设计了改进的变异系数加权法,并采用基于类中心的变权欧式距离法对失效标识产品特征和历史数据库进行相似性测度计算;通过D-S证据理论对失效标识的产品特征层进行融合辨识。实验结果表明,该方法能够较好地恢复补救产品失效的标识。

摘要：由于新兴处理器、内存和网络技术的显著进步,百亿亿级系统将在未来几年(2020–2022)推出。随着百亿亿级系统被配置和使用,具有更细粒度、更短时间步长和更大数据量的下一代应用程序将被持续需求。从发展趋势看,2025–2035年间,下一代应用程序将需要超百亿亿级系统。本文关注超百亿亿级系统在网络和通信方面面临的挑战。首先,提出超百亿亿级系统的设想架构。其次,从不同方面阐述面临的挑战,包括多种网络技术、高性能通信和同步协议、加速器和现场可编程门户阵列的集成支持、容错和服务质量支持、能量感知通信方案和协议、软件定义网络以及多种内存和存储器的可扩展通信协议。再次,指出在这些系统上进行支持高性能计算、大数据和深度学习的高效编程模型设计面临的挑战。最后,强调了这些系统的上层共同设计运行时间的关键需求,以实现最优性能和可扩展性。

摘要：功耗分析是一种有效的密码芯片侧信道攻击方法,攻击者不需要清楚芯片的内部信息,仅通过监测芯片的功耗曲线就可以分析出卡片内的密钥,对智能卡的安全构成极大威胁。为了测试智能卡的安全性,搭建了TH-PAP-01平台。该平台由PC机、示波器、读卡器、转接卡以及相应的平台控制程序和功耗数据分析软件组成,平台能够与读卡器通信并采集智能卡的功耗信息,在200M Sa/s采样率下每小时可采集2 400条功耗曲线。对采集功耗信号的转接卡做了优化设计,将攻破一款三重数据加密算法(triple data encryption standard,TDES)智能卡芯片需要的功耗曲线条数从80 000条降低到40 000条,系统的信噪比提高为原来的约3.8倍。对另一款TDES智能卡在12 000条功耗曲线时就实现了128位密钥信息的提取。TH-PAP-01功耗分析平台可以满足智能卡安全性分析要求,通过适当的扩展,该平台还可以实现对智能卡的电磁分析功能。