Toward Energy-Efficient and Trustworthy eHealth Monitoring System

The rapid technological convergence between Internet of Things(IoT),Wireless Body Area Networks(WBANs)and cloud computing has made e-healthcare emerge as a promising application domain,which has significant potential to improve the quality of medical care.In particular,patient-centric health monitoring plays a vital role in e-healthcare service,involving a set of important operations ranging from medical data collection and aggregation,data transmission and segregation,to data analytics.This survey paper firstly presents an architectural framework to describe the entire monitoring life cycle and highlight the essential service components.More detailed discussions are then devoted to {\em data collection} at patient side,which we argue that it serves as fundamental basis in achieving robust,efficient,and secure health monitoring.Subsequently,a profound discussion of the security threats targeting eHealth monitoring systems is presented,and the major limitations of the existing solutions are analyzed and extensively discussed.Finally,a set of design challenges is identified in order to achieve high quality and secure patient-centric monitoring schemes,along with some potential solutions.     

“至上”与“虚无”

<正>俄国画家马列维奇是"至上主义"抽象绘画流派的创始者,其绘画作品简约而纯粹,以最简单的形式——方块展现出艺术家丰富的感情世界,探索了形体、色彩与空间的关系。而同样善于运用几何形态的西班牙雕塑家奥泰萨的风格则显得冷静而克制,其雕塑作品通常看起来虚幻而抽象,没有强烈的情感表现,以高度理性化的手法展现出一种"虚无"的艺术境界。二人所专注的领域虽有不同,但他们的作品都在关注形式与其所在空间之间的复杂关系。     

Strain rate dependency and fragmentation pattern of expanding warheads

For the characterization of the behaviors of a metal material in events like expanding warheads, it is necessary to know its strength and ductility at high strain rates, around 104e105/s. The flyer plate impact testing produces the uniform stress and strain rates but the testing is expensive. The Taylor test is relatively inexpensive but produces non-uniform stress and strain fields, and the results are not so easily inferred for material modeling. In the split-Hopkinson bar(SHB), which may be used in compression, tension and torsion testing, the strain rates never exceeds 103/s. In the present work, we use the expanding ring test where the strain rate is 104e105/s. A streak camera is used to examine the expanding ring velocity, and a water tank is used to collect the fragments. The experimental results are compared with the numerical simulations using the hydrocodes AUTODYN, IMPETUS Afea and a regularized smooth particle(RSPH) software. The number of fragments increases with the increase in the expansion velocity of the rings. The number of fragments is similar to the experimental results. The RSPH software shows much the same results as the AUTODYN where the Lagrangian solver is used for the ring. The IMPETUS Afea solver shows a somewhat different fragmentation characteristic due to the node splitting algorithm that induces pronounced tensile splitting.     

前向反冲分析和非卢瑟福背散射

介绍了弹性散射分析中的另外两种分析方法——前向反冲分析和非卢瑟福背散射分析。前向反冲分析适用于材料中H和He同位素分析。高能质子和He离子背散射分析可提高对重基体中C,N和O等轻元素分析的灵敏度。给出了这两种分析方法的应用实例。     

包钢氟污染治理成效及对策

本文介绍了包钢历年来氟污染治理成效以及控制外排氟总量达标的具体措施.     

Implement Obligations Seriously, Enjoy Rights Fully Make Active Countermeasure to the Barrier of Foreign Technology Trade

December 11th, 2006 is the fifth anniversary of China's entry into WTO. Over the past five years, what AQSIQ has done in implementing the obligations and enjoying the rights as a member of WTO? How's the performance? Facing with the current complicated barrier of technology trade worldwide, how will China reply to it? For these questions, reporters have made a special interview with Li Changjiang, Minister of AQSIQ.     

基于矩阵分解双线性池化的多模态融合虚假新闻检测

现有的大多数虚假新闻检测方法将视觉和文本特征串联拼接,导致模态信息冗余并且忽略了不同模态信息之间的相关性。为了解决上述问题,提出一种基于矩阵分解双线性池化的多模态融合虚假新闻检测算法。首先,该算法将多模态特征提取器捕捉的文本和视觉特征利用矩阵分解双线性池化方法进行有效融合,然后与虚假新闻检测器合作鉴别虚假新闻;此外,在训练阶段加入了事件分类器来预测事件标签并去除事件相关的依赖。在Twitter和微博两个多模态谣言数据集上进行了对比实验,证明了该算法的有效性。实验结果表明提出的模型能够有效地融合多模态数据,缩小模态间的异质性差异,从而提高虚假新闻检测的准确性。     

物联网在塞尔维亚大坝监测和管理中的应用

主要论述了物联网在塞尔维亚大坝监测和管理中的应用。因其具有发电功效,水电站大坝极具重要性,但也应重视与之相关的风险。为在塞尔维亚大坝管理中利用与大坝设施有关的信息,需要对这些信息进行整合。基于现有的系统,开发了一套信息系统,其中使用了智能网络传感器。笔者旨在介绍物联网在特定大坝安全管理系统中的应用可能性。为能纳入大量的智能传感器,定义了一个新的与监测网络中的传感器进行通信的数据采集模块。该系统能在安全指数偏离预期值时及时提供预警。     

适用于宽带接收阵列的无模糊二维DOA估计

为了满足宽带侦收的要求,提出了一种新的基于环形阵列的宽带天线阵列配置方案,利用2组独立空间欠采样通道得到有模糊的信号空域信息,并结合一定的解模糊算法和配对方法得到无模糊的空间信号到达角(DOA)估计. 仿真结果表明,所提算法在搜索量小的优势下能实现二维方向角的高精度估计及正确配对,且2组通道的采样数据可并行处理,增强了算法的实时性.